From af911c4e1026f20dbe4413a1588621980b324f76 Mon Sep 17 00:00:00 2001
From: SreeHarshaNelaturu <nelaturu.harsha@gmail.com>
Date: Tue, 10 Feb 2026 01:16:08 +0100
Subject: [PATCH 1/4] bump global-mmlu-lite and hfopenllm_v2 to v0.2.0

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diff --git a/data/ai2_arc/anthropic/claude-sonnet-4-0/40094cf6-b187-475d-8f14-abb71d998c2b.json b/data/ai2_arc/anthropic/claude-sonnet-4-0/40094cf6-b187-475d-8f14-abb71d998c2b.json
deleted file mode 100644
index 72c200a73..000000000
--- a/data/ai2_arc/anthropic/claude-sonnet-4-0/40094cf6-b187-475d-8f14-abb71d998c2b.json
+++ /dev/null
@@ -1,108 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "ai2_arc/anthropic_claude-sonnet-4-0/1761000045.0",
-  "retrieved_timestamp": "1761000045.0",
-  "source_data": {
-    "dataset_name": "ai2_arc",
-    "hf_repo": "allenai/ai2_arc",
-    "samples_number": 2376,
-    "sample_ids": [
-      1,
-      2,
-      3,
-      4,
-      5
-    ]
-  },
-  "source_metadata": {
-    "source_name": "inspect_ai",
-    "source_type": "evaluation_run",
-    "source_organization_name": "unknown",
-    "evaluator_relationship": "third_party"
-  },
-  "model_info": {
-    "name": "anthropic/claude-sonnet-4-0",
-    "id": "anthropic/claude-sonnet-4-0",
-    "developer": "anthropic",
-    "inference_platform": "anthropic"
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "choice",
-      "evaluation_timestamp": "1761000045.0",
-      "metric_config": {
-        "evaluation_description": "accuracy",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0
-      },
-      "score_details": {
-        "score": 1.0
-      },
-      "generation_config": {}
-    }
-  ],
-  "detailed_evaluation_results_per_samples": [
-    {
-      "sample_id": "1",
-      "input": "Which statement best explains why photosynthesis is the foundation of most food webs?",
-      "ground_truth": "A",
-      "response": "A",
-      "choices": [
-        "Sunlight is the source of energy for nearly all ecosystems.",
-        "Most ecosystems are found on land instead of in water.",
-        "Carbon dioxide is more available than other gases.",
-        "The producers in all ecosystems are plants."
-      ]
-    },
-    {
-      "sample_id": "2",
-      "input": "Which piece of safety equipment is used to keep mold spores from entering the respiratory system?",
-      "ground_truth": "B",
-      "response": "B",
-      "choices": [
-        "safety goggles",
-        "breathing mask",
-        "rubber gloves",
-        "lead apron"
-      ]
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-        "a network of interacting positive and negative particles",
-        "overlapping layers of neutral, positive, and negative particles"
-      ]
-    }
-  ]
-}
\ No newline at end of file
diff --git a/data/formatted b/data/formatted
deleted file mode 100644
index 7b8d6c05a..000000000
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diff --git a/data/global-mmlu-lite/Alibaba/Qwen-3-235B-A22B-Instruct/d1b63dce-9740-4347-b7b2-01099fa8b9e7.json b/data/global-mmlu-lite/Alibaba/Qwen-3-235B-A22B-Instruct/d1b63dce-9740-4347-b7b2-01099fa8b9e7.json
deleted file mode 100644
index 3db64feb3..000000000
--- a/data/global-mmlu-lite/Alibaba/Qwen-3-235B-A22B-Instruct/d1b63dce-9740-4347-b7b2-01099fa8b9e7.json
+++ /dev/null
@@ -1,353 +0,0 @@
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-      "evaluation_name": "Hindi",
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-        "score_type": "continuous",
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-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Hindi"
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-        "details": {
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-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Indonesian"
-      },
-      "score_details": {
-        "score": 0.88,
-        "details": {
-          "confidence_interval": 0.031846,
-          "stddev": 0.031846
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-    {
-      "evaluation_name": "Italian",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Italian"
-      },
-      "score_details": {
-        "score": 0.88,
-        "details": {
-          "confidence_interval": 0.031846,
-          "stddev": 0.031846
-        }
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-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
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-      "evaluation_name": "Japanese",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Japanese"
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-          "stddev": 0.031846
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-      "evaluation_name": "Korean",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Korean"
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-          "stddev": 0.03241
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-      "evaluation_name": "Portuguese",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
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-          "stddev": 0.030966
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-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "Spanish",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Spanish"
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-      "score_details": {
-        "score": 0.875,
-        "details": {
-          "confidence_interval": 0.03241,
-          "stddev": 0.03241
-        }
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-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
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-    {
-      "evaluation_name": "Swahili",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Swahili"
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-      "score_details": {
-        "score": 0.87,
-        "details": {
-          "confidence_interval": 0.032957,
-          "stddev": 0.032957
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-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "Yoruba",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Yoruba"
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-    },
-    {
-      "evaluation_name": "Chinese",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Chinese"
-      },
-      "score_details": {
-        "score": 0.8775,
-        "details": {
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-          "stddev": 0.03213
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-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
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-    {
-      "evaluation_name": "Burmese",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Burmese"
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-}
\ No newline at end of file
diff --git a/data/global-mmlu-lite/Anthropic/Claude-3.5-Haiku/b34d5c62-d44a-44ce-9d14-f97445a407a3.json b/data/global-mmlu-lite/Anthropic/Claude-3.5-Haiku/b34d5c62-d44a-44ce-9d14-f97445a407a3.json
deleted file mode 100644
index 0a8366480..000000000
--- a/data/global-mmlu-lite/Anthropic/Claude-3.5-Haiku/b34d5c62-d44a-44ce-9d14-f97445a407a3.json
+++ /dev/null
@@ -1,353 +0,0 @@
-{
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-  "evaluation_id": "global-mmlu-lite/anthropic_claude-35-haiku/1764290504.010163",
-  "retrieved_timestamp": "1764290504.010163",
-  "source_data": [
-    "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Cohere Labs",
-    "source_organization_url": "https://www.kaggle.com/organizations/cohere-labs",
-    "evaluator_relationship": "third_party",
-    "source_type": "documentation",
-    "source_name": "Kaggle Global MMLU Lite Leaderboard"
-  },
-  "model_info": {
-    "name": "Claude 3.5 Haiku",
-    "id": "anthropic/claude-35-haiku",
-    "developer": "Anthropic",
-    "inference_platform": "Kaggle"
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "Global MMLU Lite",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Global MMLU Lite"
-      },
-      "score_details": {
-        "score": 0.6114062499999999
-      },
-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "Global MMLU Lite Culturally Sensitive",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Global MMLU Lite Culturally Sensitive"
-      },
-      "score_details": {
-        "score": 0.5834375
-      },
-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "Global MMLU Lite Culturally Agnostic",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Global MMLU Lite Culturally Agnostic"
-      },
-      "score_details": {
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-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "Arabic",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Arabic"
-      },
-      "score_details": {
-        "score": 0.695,
-        "details": {
-          "confidence_interval": 0.045119,
-          "stddev": 0.045119
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-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "English",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task English"
-      },
-      "score_details": {
-        "score": 0.485,
-        "details": {
-          "confidence_interval": 0.048977,
-          "stddev": 0.048977
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-      },
-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "Bengali",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Bengali"
-      },
-      "score_details": {
-        "score": 0.675,
-        "details": {
-          "confidence_interval": 0.0459,
-          "stddev": 0.0459
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-      },
-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "German",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task German"
-      },
-      "score_details": {
-        "score": 0.565,
-        "details": {
-          "confidence_interval": 0.048583,
-          "stddev": 0.048583
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-      },
-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "French",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task French"
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-      "score_details": {
-        "score": 0.61,
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-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "Hindi",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Hindi"
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-    {
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-      "metric_config": {
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-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Indonesian"
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-    {
-      "evaluation_name": "Italian",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Italian"
-      },
-      "score_details": {
-        "score": 0.48,
-        "details": {
-          "confidence_interval": 0.04896,
-          "stddev": 0.04896
-        }
-      },
-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "Japanese",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Japanese"
-      },
-      "score_details": {
-        "score": 0.655,
-        "details": {
-          "confidence_interval": 0.046585,
-          "stddev": 0.046585
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-      },
-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "Korean",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Korean"
-      },
-      "score_details": {
-        "score": 0.6575,
-        "details": {
-          "confidence_interval": 0.046505,
-          "stddev": 0.046505
-        }
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-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "Portuguese",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Portuguese"
-      },
-      "score_details": {
-        "score": 0.5225,
-        "details": {
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-          "stddev": 0.048949
-        }
-      },
-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "Spanish",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Spanish"
-      },
-      "score_details": {
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-        "details": {
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-          "stddev": 0.048977
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-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "Swahili",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Swahili"
-      },
-      "score_details": {
-        "score": 0.69,
-        "details": {
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-          "stddev": 0.045324
-        }
-      },
-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "Yoruba",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Yoruba"
-      },
-      "score_details": {
-        "score": 0.6675,
-        "details": {
-          "confidence_interval": 0.046168,
-          "stddev": 0.046168
-        }
-      },
-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "Chinese",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Chinese"
-      },
-      "score_details": {
-        "score": 0.69,
-        "details": {
-          "confidence_interval": 0.045324,
-          "stddev": 0.045324
-        }
-      },
-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "Burmese",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Burmese"
-      },
-      "score_details": {
-        "score": 0.7,
-        "details": {
-          "confidence_interval": 0.044908,
-          "stddev": 0.044908
-        }
-      },
-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    }
-  ]
-}
\ No newline at end of file
diff --git a/data/global-mmlu-lite/Anthropic/Claude-3.7-Sonnet/462fd172-5786-45a9-a938-361fef294d8b.json b/data/global-mmlu-lite/Anthropic/Claude-3.7-Sonnet/462fd172-5786-45a9-a938-361fef294d8b.json
deleted file mode 100644
index ad6e04396..000000000
--- a/data/global-mmlu-lite/Anthropic/Claude-3.7-Sonnet/462fd172-5786-45a9-a938-361fef294d8b.json
+++ /dev/null
@@ -1,353 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "global-mmlu-lite/anthropic_claude-37-sonnet/1764290503.997274",
-  "retrieved_timestamp": "1764290503.997274",
-  "source_data": [
-    "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Cohere Labs",
-    "source_organization_url": "https://www.kaggle.com/organizations/cohere-labs",
-    "evaluator_relationship": "third_party",
-    "source_type": "documentation",
-    "source_name": "Kaggle Global MMLU Lite Leaderboard"
-  },
-  "model_info": {
-    "name": "Claude 3.7 Sonnet",
-    "id": "anthropic/claude-37-sonnet",
-    "developer": "Anthropic",
-    "inference_platform": "Kaggle"
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "Global MMLU Lite",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Global MMLU Lite"
-      },
-      "score_details": {
-        "score": 0.8078124999999998
-      },
-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "Global MMLU Lite Culturally Sensitive",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Global MMLU Lite Culturally Sensitive"
-      },
-      "score_details": {
-        "score": 0.779375
-      },
-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "Global MMLU Lite Culturally Agnostic",
-      "metric_config": {
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-        "score_type": "continuous",
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-    }
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-}
\ No newline at end of file
diff --git a/data/global-mmlu-lite/Anthropic/Claude-Opus-4.1/562a23d0-d80a-4564-a68b-6b478817fa0e.json b/data/global-mmlu-lite/Anthropic/Claude-Opus-4.1/562a23d0-d80a-4564-a68b-6b478817fa0e.json
deleted file mode 100644
index 1ea305e4d..000000000
--- a/data/global-mmlu-lite/Anthropic/Claude-Opus-4.1/562a23d0-d80a-4564-a68b-6b478817fa0e.json
+++ /dev/null
@@ -1,353 +0,0 @@
-{
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-  "evaluation_id": "global-mmlu-lite/anthropic_claude-opus-41/1764290503.991577",
-  "retrieved_timestamp": "1764290503.991577",
-  "source_data": [
-    "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-  ],
-  "source_metadata": {
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-    "source_organization_url": "https://www.kaggle.com/organizations/cohere-labs",
-    "evaluator_relationship": "third_party",
-    "source_type": "documentation",
-    "source_name": "Kaggle Global MMLU Lite Leaderboard"
-  },
-  "model_info": {
-    "name": "Claude Opus 4.1",
-    "id": "anthropic/claude-opus-41",
-    "developer": "Anthropic",
-    "inference_platform": "Kaggle"
-  },
-  "evaluation_results": [
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-      "evaluation_name": "Global MMLU Lite",
-      "metric_config": {
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-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Global MMLU Lite"
-      },
-      "score_details": {
-        "score": 0.94296875
-      },
-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
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-      "metric_config": {
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-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Global MMLU Lite Culturally Sensitive"
-      },
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-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
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-        "evaluation_description": "Global MMLU Lite accuracy for task Global MMLU Lite Culturally Agnostic"
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-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
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-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Arabic"
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-    },
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-      "evaluation_name": "English",
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-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task English"
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-    },
-    {
-      "evaluation_name": "Burmese",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Burmese"
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-      "score_details": {
-        "score": 0.945,
-        "details": {
-          "confidence_interval": 0.022342,
-          "stddev": 0.022342
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-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    }
-  ]
-}
\ No newline at end of file
diff --git a/data/global-mmlu-lite/Anthropic/Claude-Sonnet-4/0e7e63be-9a07-48fd-a525-7378f6d0477f.json b/data/global-mmlu-lite/Anthropic/Claude-Sonnet-4/0e7e63be-9a07-48fd-a525-7378f6d0477f.json
deleted file mode 100644
index c7ab57be5..000000000
--- a/data/global-mmlu-lite/Anthropic/Claude-Sonnet-4/0e7e63be-9a07-48fd-a525-7378f6d0477f.json
+++ /dev/null
@@ -1,353 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "global-mmlu-lite/anthropic_claude-sonnet-4/1764290503.993483",
-  "retrieved_timestamp": "1764290503.993483",
-  "source_data": [
-    "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Cohere Labs",
-    "source_organization_url": "https://www.kaggle.com/organizations/cohere-labs",
-    "evaluator_relationship": "third_party",
-    "source_type": "documentation",
-    "source_name": "Kaggle Global MMLU Lite Leaderboard"
-  },
-  "model_info": {
-    "name": "Claude Sonnet 4",
-    "id": "anthropic/claude-sonnet-4",
-    "developer": "Anthropic",
-    "inference_platform": "Kaggle"
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "Global MMLU Lite",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Global MMLU Lite"
-      },
-      "score_details": {
-        "score": 0.90578125
-      },
-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "Global MMLU Lite Culturally Sensitive",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Global MMLU Lite Culturally Sensitive"
-      },
-      "score_details": {
-        "score": 0.8912500000000001
-      },
-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "Global MMLU Lite Culturally Agnostic",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Global MMLU Lite Culturally Agnostic"
-      },
-      "score_details": {
-        "score": 0.9203125
-      },
-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "Arabic",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Arabic"
-      },
-      "score_details": {
-        "score": 0.9125,
-        "details": {
-          "confidence_interval": 0.027691,
-          "stddev": 0.027691
-        }
-      },
-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "English",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task English"
-      },
-      "score_details": {
-        "score": 0.905,
-        "details": {
-          "confidence_interval": 0.028735,
-          "stddev": 0.028735
-        }
-      },
-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "Bengali",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Bengali"
-      },
-      "score_details": {
-        "score": 0.9075,
-        "details": {
-          "confidence_interval": 0.028393,
-          "stddev": 0.028393
-        }
-      },
-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "German",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task German"
-      },
-      "score_details": {
-        "score": 0.9125,
-        "details": {
-          "confidence_interval": 0.027691,
-          "stddev": 0.027691
-        }
-      },
-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "French",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task French"
-      },
-      "score_details": {
-        "score": 0.91,
-        "details": {
-          "confidence_interval": 0.028045,
-          "stddev": 0.028045
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-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "Hindi",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Hindi"
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-          "stddev": 0.029399
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-    },
-    {
-      "evaluation_name": "Indonesian",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Indonesian"
-      },
-      "score_details": {
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-          "stddev": 0.02907
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-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "Italian",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Italian"
-      },
-      "score_details": {
-        "score": 0.9075,
-        "details": {
-          "confidence_interval": 0.028393,
-          "stddev": 0.028393
-        }
-      },
-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "Japanese",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Japanese"
-      },
-      "score_details": {
-        "score": 0.9,
-        "details": {
-          "confidence_interval": 0.029399,
-          "stddev": 0.029399
-        }
-      },
-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "Korean",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Korean"
-      },
-      "score_details": {
-        "score": 0.9125,
-        "details": {
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-          "stddev": 0.027691
-        }
-      },
-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "Portuguese",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Portuguese"
-      },
-      "score_details": {
-        "score": 0.91,
-        "details": {
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-          "stddev": 0.028045
-        }
-      },
-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "Spanish",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Spanish"
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-      "score_details": {
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-        "details": {
-          "confidence_interval": 0.028393,
-          "stddev": 0.028393
-        }
-      },
-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "Swahili",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Swahili"
-      },
-      "score_details": {
-        "score": 0.8975,
-        "details": {
-          "confidence_interval": 0.029723,
-          "stddev": 0.029723
-        }
-      },
-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "Yoruba",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Yoruba"
-      },
-      "score_details": {
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-        "details": {
-          "confidence_interval": 0.029723,
-          "stddev": 0.029723
-        }
-      },
-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "Chinese",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Chinese"
-      },
-      "score_details": {
-        "score": 0.9175,
-        "details": {
-          "confidence_interval": 0.026962,
-          "stddev": 0.026962
-        }
-      },
-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "Burmese",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Burmese"
-      },
-      "score_details": {
-        "score": 0.8925,
-        "details": {
-          "confidence_interval": 0.030355,
-          "stddev": 0.030355
-        }
-      },
-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    }
-  ]
-}
\ No newline at end of file
diff --git a/data/global-mmlu-lite/Cohere/Aya-Expanse-32B/33c55930-eba4-45d1-a214-bfb0338812b3.json b/data/global-mmlu-lite/Cohere/Aya-Expanse-32B/33c55930-eba4-45d1-a214-bfb0338812b3.json
deleted file mode 100644
index 2d9b76f92..000000000
--- a/data/global-mmlu-lite/Cohere/Aya-Expanse-32B/33c55930-eba4-45d1-a214-bfb0338812b3.json
+++ /dev/null
@@ -1,353 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "global-mmlu-lite/cohere_aya-expanse-32b/1764290504.007959",
-  "retrieved_timestamp": "1764290504.007959",
-  "source_data": [
-    "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Cohere Labs",
-    "source_organization_url": "https://www.kaggle.com/organizations/cohere-labs",
-    "evaluator_relationship": "third_party",
-    "source_type": "documentation",
-    "source_name": "Kaggle Global MMLU Lite Leaderboard"
-  },
-  "model_info": {
-    "name": "Aya Expanse 32B",
-    "id": "cohere/aya-expanse-32b",
-    "developer": "Cohere",
-    "inference_platform": "Kaggle"
-  },
-  "evaluation_results": [
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-      "evaluation_name": "Global MMLU Lite",
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-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Global MMLU Lite"
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-    {
-      "evaluation_name": "Global MMLU Lite Culturally Sensitive",
-      "metric_config": {
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-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Global MMLU Lite Culturally Sensitive"
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-        "score": 0.6890979334287393
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-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
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-    {
-      "evaluation_name": "Global MMLU Lite Culturally Agnostic",
-      "metric_config": {
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-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Global MMLU Lite Culturally Agnostic"
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-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
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-    {
-      "evaluation_name": "Arabic",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Arabic"
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-      "score_details": {
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-          "stddev": 0.04285
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-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
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-    {
-      "evaluation_name": "English",
-      "metric_config": {
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-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task English"
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-      "score_details": {
-        "score": 0.754386,
-        "details": {
-          "confidence_interval": 0.042236,
-          "stddev": 0.042236
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-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
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-    {
-      "evaluation_name": "Bengali",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Bengali"
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-      "score_details": {
-        "score": 0.734336,
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-    {
-      "evaluation_name": "German",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task German"
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-      "score_details": {
-        "score": 0.7425,
-        "details": {
-          "confidence_interval": 0.04285,
-          "stddev": 0.04285
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-      },
-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "French",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task French"
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-    {
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-        "evaluation_description": "Global MMLU Lite accuracy for task Japanese"
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-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
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-    {
-      "evaluation_name": "Korean",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Korean"
-      },
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-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
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-      "evaluation_name": "Portuguese",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Portuguese"
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-        "score": 0.754386,
-        "details": {
-          "confidence_interval": 0.042236,
-          "stddev": 0.042236
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-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "Spanish",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Spanish"
-      },
-      "score_details": {
-        "score": 0.736181,
-        "details": {
-          "confidence_interval": 0.043296,
-          "stddev": 0.043296
-        }
-      },
-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "Swahili",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Swahili"
-      },
-      "score_details": {
-        "score": 0.707071,
-        "details": {
-          "confidence_interval": 0.044824,
-          "stddev": 0.044824
-        }
-      },
-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "Yoruba",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Yoruba"
-      },
-      "score_details": {
-        "score": 0.694236,
-        "details": {
-          "confidence_interval": 0.045207,
-          "stddev": 0.045207
-        }
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-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "Chinese",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Chinese"
-      },
-      "score_details": {
-        "score": 0.743003,
-        "details": {
-          "confidence_interval": 0.043203,
-          "stddev": 0.043203
-        }
-      },
-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "Burmese",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Burmese"
-      },
-      "score_details": {
-        "score": 0.7025,
-        "details": {
-          "confidence_interval": 0.044801,
-          "stddev": 0.044801
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-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    }
-  ]
-}
\ No newline at end of file
diff --git a/data/global-mmlu-lite/Cohere/Command-A/ba5f478e-7484-4c7d-9691-1c4da2aa39a1.json b/data/global-mmlu-lite/Cohere/Command-A/ba5f478e-7484-4c7d-9691-1c4da2aa39a1.json
deleted file mode 100644
index 75fcf23d9..000000000
--- a/data/global-mmlu-lite/Cohere/Command-A/ba5f478e-7484-4c7d-9691-1c4da2aa39a1.json
+++ /dev/null
@@ -1,353 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "global-mmlu-lite/cohere_command-a/1764290503.996772",
-  "retrieved_timestamp": "1764290503.996772",
-  "source_data": [
-    "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Cohere Labs",
-    "source_organization_url": "https://www.kaggle.com/organizations/cohere-labs",
-    "evaluator_relationship": "third_party",
-    "source_type": "documentation",
-    "source_name": "Kaggle Global MMLU Lite Leaderboard"
-  },
-  "model_info": {
-    "name": "Command A",
-    "id": "cohere/command-a",
-    "developer": "Cohere",
-    "inference_platform": "Kaggle"
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "Global MMLU Lite",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Global MMLU Lite"
-      },
-      "score_details": {
-        "score": 0.838546365914787
-      },
-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "Global MMLU Lite Culturally Sensitive",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Global MMLU Lite Culturally Sensitive"
-      },
-      "score_details": {
-        "score": 0.7993200376884423
-      },
-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "Global MMLU Lite Culturally Agnostic",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Global MMLU Lite Culturally Agnostic"
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-      "score_details": {
-        "score": 0.8777732412060302
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-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "Arabic",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Arabic"
-      },
-      "score_details": {
-        "score": 0.8425,
-        "details": {
-          "confidence_interval": 0.035698,
-          "stddev": 0.035698
-        }
-      },
-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "English",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task English"
-      },
-      "score_details": {
-        "score": 0.855,
-        "details": {
-          "confidence_interval": 0.034505,
-          "stddev": 0.034505
-        }
-      },
-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "Bengali",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Bengali"
-      },
-      "score_details": {
-        "score": 0.8225,
-        "details": {
-          "confidence_interval": 0.037444,
-          "stddev": 0.037444
-        }
-      },
-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "German",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task German"
-      },
-      "score_details": {
-        "score": 0.8425,
-        "details": {
-          "confidence_interval": 0.035698,
-          "stddev": 0.035698
-        }
-      },
-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "French",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task French"
-      },
-      "score_details": {
-        "score": 0.8375,
-        "details": {
-          "confidence_interval": 0.036152,
-          "stddev": 0.036152
-        }
-      },
-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "Hindi",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Hindi"
-      },
-      "score_details": {
-        "score": 0.842105,
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-          "stddev": 0.035779
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-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
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-    {
-      "evaluation_name": "Indonesian",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Indonesian"
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-      "score_details": {
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-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "Italian",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Italian"
-      },
-      "score_details": {
-        "score": 0.8375,
-        "details": {
-          "confidence_interval": 0.036152,
-          "stddev": 0.036152
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-      },
-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "Japanese",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Japanese"
-      },
-      "score_details": {
-        "score": 0.845,
-        "details": {
-          "confidence_interval": 0.035466,
-          "stddev": 0.035466
-        }
-      },
-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "Korean",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Korean"
-      },
-      "score_details": {
-        "score": 0.85,
-        "details": {
-          "confidence_interval": 0.034992,
-          "stddev": 0.034992
-        }
-      },
-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "Portuguese",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Portuguese"
-      },
-      "score_details": {
-        "score": 0.84,
-        "details": {
-          "confidence_interval": 0.035927,
-          "stddev": 0.035927
-        }
-      },
-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "Spanish",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Spanish"
-      },
-      "score_details": {
-        "score": 0.8525,
-        "details": {
-          "confidence_interval": 0.034751,
-          "stddev": 0.034751
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-      },
-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "Swahili",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Swahili"
-      },
-      "score_details": {
-        "score": 0.8275,
-        "details": {
-          "confidence_interval": 0.037025,
-          "stddev": 0.037025
-        }
-      },
-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "Yoruba",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Yoruba"
-      },
-      "score_details": {
-        "score": 0.815,
-        "details": {
-          "confidence_interval": 0.038052,
-          "stddev": 0.038052
-        }
-      },
-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "Chinese",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Chinese"
-      },
-      "score_details": {
-        "score": 0.835,
-        "details": {
-          "confidence_interval": 0.036375,
-          "stddev": 0.036375
-        }
-      },
-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "Burmese",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Burmese"
-      },
-      "score_details": {
-        "score": 0.8175,
-        "details": {
-          "confidence_interval": 0.037852,
-          "stddev": 0.037852
-        }
-      },
-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    }
-  ]
-}
\ No newline at end of file
diff --git a/data/global-mmlu-lite/DeepSeek/DeepSeek-R1/a00e87b5-bb92-4ff5-aea7-b4e8357663c2.json b/data/global-mmlu-lite/DeepSeek/DeepSeek-R1/a00e87b5-bb92-4ff5-aea7-b4e8357663c2.json
deleted file mode 100644
index 5b642255d..000000000
--- a/data/global-mmlu-lite/DeepSeek/DeepSeek-R1/a00e87b5-bb92-4ff5-aea7-b4e8357663c2.json
+++ /dev/null
@@ -1,353 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "global-mmlu-lite/deepseek_deepseek-r1/1764290504.0088",
-  "retrieved_timestamp": "1764290504.0088",
-  "source_data": [
-    "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Cohere Labs",
-    "source_organization_url": "https://www.kaggle.com/organizations/cohere-labs",
-    "evaluator_relationship": "third_party",
-    "source_type": "documentation",
-    "source_name": "Kaggle Global MMLU Lite Leaderboard"
-  },
-  "model_info": {
-    "name": "DeepSeek-R1",
-    "id": "deepseek/deepseek-r1",
-    "developer": "DeepSeek",
-    "inference_platform": "Kaggle"
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "Global MMLU Lite",
-      "metric_config": {
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-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Global MMLU Lite"
-      },
-      "score_details": {
-        "score": 0.674375
-      },
-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
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-    {
-      "evaluation_name": "Global MMLU Lite Culturally Sensitive",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Global MMLU Lite Culturally Sensitive"
-      },
-      "score_details": {
-        "score": 0.6671875
-      },
-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "Global MMLU Lite Culturally Agnostic",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Global MMLU Lite Culturally Agnostic"
-      },
-      "score_details": {
-        "score": 0.6815625000000001
-      },
-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "Arabic",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Arabic"
-      },
-      "score_details": {
-        "score": 0.6825,
-        "details": {
-          "confidence_interval": 0.045619,
-          "stddev": 0.045619
-        }
-      },
-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "English",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task English"
-      },
-      "score_details": {
-        "score": 0.715,
-        "details": {
-          "confidence_interval": 0.044238,
-          "stddev": 0.044238
-        }
-      },
-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "Bengali",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Bengali"
-      },
-      "score_details": {
-        "score": 0.655,
-        "details": {
-          "confidence_interval": 0.046585,
-          "stddev": 0.046585
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-      },
-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "German",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task German"
-      },
-      "score_details": {
-        "score": 0.6375,
-        "details": {
-          "confidence_interval": 0.04711,
-          "stddev": 0.04711
-        }
-      },
-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "French",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task French"
-      },
-      "score_details": {
-        "score": 0.6925,
-        "details": {
-          "confidence_interval": 0.045222,
-          "stddev": 0.045222
-        }
-      },
-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "Hindi",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Hindi"
-      },
-      "score_details": {
-        "score": 0.6475,
-        "details": {
-          "confidence_interval": 0.046819,
-          "stddev": 0.046819
-        }
-      },
-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "Indonesian",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Indonesian"
-      },
-      "score_details": {
-        "score": 0.655,
-        "details": {
-          "confidence_interval": 0.046585,
-          "stddev": 0.046585
-        }
-      },
-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "Italian",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Italian"
-      },
-      "score_details": {
-        "score": 0.6775,
-        "details": {
-          "confidence_interval": 0.045808,
-          "stddev": 0.045808
-        }
-      },
-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "Japanese",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Japanese"
-      },
-      "score_details": {
-        "score": 0.7725,
-        "details": {
-          "confidence_interval": 0.041083,
-          "stddev": 0.041083
-        }
-      },
-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "Korean",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Korean"
-      },
-      "score_details": {
-        "score": 0.6575,
-        "details": {
-          "confidence_interval": 0.046505,
-          "stddev": 0.046505
-        }
-      },
-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "Portuguese",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Portuguese"
-      },
-      "score_details": {
-        "score": 0.635,
-        "details": {
-          "confidence_interval": 0.047179,
-          "stddev": 0.047179
-        }
-      },
-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "Spanish",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Spanish"
-      },
-      "score_details": {
-        "score": 0.7175,
-        "details": {
-          "confidence_interval": 0.04412,
-          "stddev": 0.04412
-        }
-      },
-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "Swahili",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Swahili"
-      },
-      "score_details": {
-        "score": 0.6775,
-        "details": {
-          "confidence_interval": 0.045808,
-          "stddev": 0.045808
-        }
-      },
-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "Yoruba",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Yoruba"
-      },
-      "score_details": {
-        "score": 0.77,
-        "details": {
-          "confidence_interval": 0.041241,
-          "stddev": 0.041241
-        }
-      },
-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "Chinese",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Chinese"
-      },
-      "score_details": {
-        "score": 0.5075,
-        "details": {
-          "confidence_interval": 0.048994,
-          "stddev": 0.048994
-        }
-      },
-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "Burmese",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Burmese"
-      },
-      "score_details": {
-        "score": 0.69,
-        "details": {
-          "confidence_interval": 0.045324,
-          "stddev": 0.045324
-        }
-      },
-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    }
-  ]
-}
\ No newline at end of file
diff --git a/data/global-mmlu-lite/DeepSeek/Deepseek-V3.1/a1dabd04-29d3-4170-88f7-ee899b26c24a.json b/data/global-mmlu-lite/DeepSeek/Deepseek-V3.1/a1dabd04-29d3-4170-88f7-ee899b26c24a.json
deleted file mode 100644
index e51c4f590..000000000
--- a/data/global-mmlu-lite/DeepSeek/Deepseek-V3.1/a1dabd04-29d3-4170-88f7-ee899b26c24a.json
+++ /dev/null
@@ -1,353 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "global-mmlu-lite/deepseek_deepseek-v31/1764290503.997821",
-  "retrieved_timestamp": "1764290503.997821",
-  "source_data": [
-    "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Cohere Labs",
-    "source_organization_url": "https://www.kaggle.com/organizations/cohere-labs",
-    "evaluator_relationship": "third_party",
-    "source_type": "documentation",
-    "source_name": "Kaggle Global MMLU Lite Leaderboard"
-  },
-  "model_info": {
-    "name": "Deepseek V3.1",
-    "id": "deepseek/deepseek-v31",
-    "developer": "DeepSeek",
-    "inference_platform": "Kaggle"
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "Global MMLU Lite",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Global MMLU Lite"
-      },
-      "score_details": {
-        "score": 0.8043661366877002
-      },
-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "Global MMLU Lite Culturally Sensitive",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Global MMLU Lite Culturally Sensitive"
-      },
-      "score_details": {
-        "score": 0.7793102525957433
-      },
-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "Global MMLU Lite Culturally Agnostic",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Global MMLU Lite Culturally Agnostic"
-      },
-      "score_details": {
-        "score": 0.8294756436687251
-      },
-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "Arabic",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Arabic"
-      },
-      "score_details": {
-        "score": 0.805,
-        "details": {
-          "confidence_interval": 0.038827,
-          "stddev": 0.038827
-        }
-      },
-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "English",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task English"
-      },
-      "score_details": {
-        "score": 0.825,
-        "details": {
-          "confidence_interval": 0.037236,
-          "stddev": 0.037236
-        }
-      },
-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "Bengali",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Bengali"
-      },
-      "score_details": {
-        "score": 0.815657,
-        "details": {
-          "confidence_interval": 0.038192,
-          "stddev": 0.038192
-        }
-      },
-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "German",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task German"
-      },
-      "score_details": {
-        "score": 0.7925,
-        "details": {
-          "confidence_interval": 0.03974,
-          "stddev": 0.03974
-        }
-      },
-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "French",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task French"
-      },
-      "score_details": {
-        "score": 0.8175,
-        "details": {
-          "confidence_interval": 0.037852,
-          "stddev": 0.037852
-        }
-      },
-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "Hindi",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Hindi"
-      },
-      "score_details": {
-        "score": 0.756892,
-        "details": {
-          "confidence_interval": 0.04209,
-          "stddev": 0.04209
-        }
-      },
-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "Indonesian",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Indonesian"
-      },
-      "score_details": {
-        "score": 0.776382,
-        "details": {
-          "confidence_interval": 0.040935,
-          "stddev": 0.040935
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-      },
-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "Italian",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Italian"
-      },
-      "score_details": {
-        "score": 0.8075,
-        "details": {
-          "confidence_interval": 0.038637,
-          "stddev": 0.038637
-        }
-      },
-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "Japanese",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Japanese"
-      },
-      "score_details": {
-        "score": 0.831169,
-        "details": {
-          "confidence_interval": 0.037419,
-          "stddev": 0.037419
-        }
-      },
-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "Korean",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Korean"
-      },
-      "score_details": {
-        "score": 0.8125,
-        "details": {
-          "confidence_interval": 0.03825,
-          "stddev": 0.03825
-        }
-      },
-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "Portuguese",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Portuguese"
-      },
-      "score_details": {
-        "score": 0.824561,
-        "details": {
-          "confidence_interval": 0.037319,
-          "stddev": 0.037319
-        }
-      },
-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "Spanish",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Spanish"
-      },
-      "score_details": {
-        "score": 0.8125,
-        "details": {
-          "confidence_interval": 0.03825,
-          "stddev": 0.03825
-        }
-      },
-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "Swahili",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Swahili"
-      },
-      "score_details": {
-        "score": 0.801008,
-        "details": {
-          "confidence_interval": 0.039273,
-          "stddev": 0.039273
-        }
-      },
-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "Yoruba",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Yoruba"
-      },
-      "score_details": {
-        "score": 0.783069,
-        "details": {
-          "confidence_interval": 0.041549,
-          "stddev": 0.041549
-        }
-      },
-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "Chinese",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Chinese"
-      },
-      "score_details": {
-        "score": 0.816121,
-        "details": {
-          "confidence_interval": 0.038106,
-          "stddev": 0.038106
-        }
-      },
-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "Burmese",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Burmese"
-      },
-      "score_details": {
-        "score": 0.7925,
-        "details": {
-          "confidence_interval": 0.03974,
-          "stddev": 0.03974
-        }
-      },
-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    }
-  ]
-}
\ No newline at end of file
diff --git a/data/global-mmlu-lite/Google/Gemini-2.5-Flash-Preview/ea9d0ff1-0801-4de7-a99a-febdcde420fa.json b/data/global-mmlu-lite/Google/Gemini-2.5-Flash-Preview/ea9d0ff1-0801-4de7-a99a-febdcde420fa.json
deleted file mode 100644
index 4c96e18bb..000000000
--- a/data/global-mmlu-lite/Google/Gemini-2.5-Flash-Preview/ea9d0ff1-0801-4de7-a99a-febdcde420fa.json
+++ /dev/null
@@ -1,353 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "global-mmlu-lite/google_gemini-25-flash-preview/1764290503.993019",
-  "retrieved_timestamp": "1764290503.993019",
-  "source_data": [
-    "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Cohere Labs",
-    "source_organization_url": "https://www.kaggle.com/organizations/cohere-labs",
-    "evaluator_relationship": "third_party",
-    "source_type": "documentation",
-    "source_name": "Kaggle Global MMLU Lite Leaderboard"
-  },
-  "model_info": {
-    "name": "Gemini 2.5 Flash Preview",
-    "id": "google/gemini-25-flash-preview",
-    "developer": "Google",
-    "inference_platform": "Kaggle"
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "Global MMLU Lite",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Global MMLU Lite"
-      },
-      "score_details": {
-        "score": 0.90921875
-      },
-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "Global MMLU Lite Culturally Sensitive",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
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-    }
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-}
\ No newline at end of file
diff --git a/data/global-mmlu-lite/Google/Gemini-2.5-Flash/32612d44-2a0e-44b6-9f23-bdbf8bccb714.json b/data/global-mmlu-lite/Google/Gemini-2.5-Flash/32612d44-2a0e-44b6-9f23-bdbf8bccb714.json
deleted file mode 100644
index 917b42cf9..000000000
--- a/data/global-mmlu-lite/Google/Gemini-2.5-Flash/32612d44-2a0e-44b6-9f23-bdbf8bccb714.json
+++ /dev/null
@@ -1,353 +0,0 @@
-{
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-  "evaluation_id": "global-mmlu-lite/google_gemini-25-flash/1764290503.992547",
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-  "source_data": [
-    "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
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-  "source_metadata": {
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-    "source_organization_url": "https://www.kaggle.com/organizations/cohere-labs",
-    "evaluator_relationship": "third_party",
-    "source_type": "documentation",
-    "source_name": "Kaggle Global MMLU Lite Leaderboard"
-  },
-  "model_info": {
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-    "id": "google/gemini-25-flash",
-    "developer": "Google",
-    "inference_platform": "Kaggle"
-  },
-  "evaluation_results": [
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-      "evaluation_name": "Global MMLU Lite",
-      "metric_config": {
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-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Global MMLU Lite"
-      },
-      "score_details": {
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-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
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-        "evaluation_description": "Global MMLU Lite accuracy for task Global MMLU Lite Culturally Sensitive"
-      },
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-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
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-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task English"
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-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Chinese"
-      },
-      "score_details": {
-        "score": 0.915,
-        "details": {
-          "confidence_interval": 0.02733,
-          "stddev": 0.02733
-        }
-      },
-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "Burmese",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Burmese"
-      },
-      "score_details": {
-        "score": 0.915,
-        "details": {
-          "confidence_interval": 0.02733,
-          "stddev": 0.02733
-        }
-      },
-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    }
-  ]
-}
\ No newline at end of file
diff --git a/data/global-mmlu-lite/Google/Gemini-2.5-Pro/4d20140d-a955-4927-9140-49fe597519c6.json b/data/global-mmlu-lite/Google/Gemini-2.5-Pro/4d20140d-a955-4927-9140-49fe597519c6.json
deleted file mode 100644
index 0bed5c410..000000000
--- a/data/global-mmlu-lite/Google/Gemini-2.5-Pro/4d20140d-a955-4927-9140-49fe597519c6.json
+++ /dev/null
@@ -1,353 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "global-mmlu-lite/google_gemini-25-pro/1764290503.992078",
-  "retrieved_timestamp": "1764290503.992078",
-  "source_data": [
-    "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Cohere Labs",
-    "source_organization_url": "https://www.kaggle.com/organizations/cohere-labs",
-    "evaluator_relationship": "third_party",
-    "source_type": "documentation",
-    "source_name": "Kaggle Global MMLU Lite Leaderboard"
-  },
-  "model_info": {
-    "name": "Gemini 2.5 Pro",
-    "id": "google/gemini-25-pro",
-    "developer": "Google",
-    "inference_platform": "Kaggle"
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "Global MMLU Lite",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Global MMLU Lite"
-      },
-      "score_details": {
-        "score": 0.93234375
-      },
-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "Global MMLU Lite Culturally Sensitive",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Global MMLU Lite Culturally Sensitive"
-      },
-      "score_details": {
-        "score": 0.9240625
-      },
-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "Global MMLU Lite Culturally Agnostic",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Global MMLU Lite Culturally Agnostic"
-      },
-      "score_details": {
-        "score": 0.940625
-      },
-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "Arabic",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Arabic"
-      },
-      "score_details": {
-        "score": 0.9475,
-        "details": {
-          "confidence_interval": 0.021857,
-          "stddev": 0.021857
-        }
-      },
-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "English",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task English"
-      },
-      "score_details": {
-        "score": 0.9275,
-        "details": {
-          "confidence_interval": 0.025412,
-          "stddev": 0.025412
-        }
-      },
-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "Bengali",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Bengali"
-      },
-      "score_details": {
-        "score": 0.9275,
-        "details": {
-          "confidence_interval": 0.025412,
-          "stddev": 0.025412
-        }
-      },
-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "German",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task German"
-      },
-      "score_details": {
-        "score": 0.93,
-        "details": {
-          "confidence_interval": 0.025004,
-          "stddev": 0.025004
-        }
-      },
-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "French",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task French"
-      },
-      "score_details": {
-        "score": 0.9425,
-        "details": {
-          "confidence_interval": 0.022814,
-          "stddev": 0.022814
-        }
-      },
-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "Hindi",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Hindi"
-      },
-      "score_details": {
-        "score": 0.9275,
-        "details": {
-          "confidence_interval": 0.025412,
-          "stddev": 0.025412
-        }
-      },
-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "Indonesian",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Indonesian"
-      },
-      "score_details": {
-        "score": 0.925,
-        "details": {
-          "confidence_interval": 0.025812,
-          "stddev": 0.025812
-        }
-      },
-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "Italian",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Italian"
-      },
-      "score_details": {
-        "score": 0.935,
-        "details": {
-          "confidence_interval": 0.024159,
-          "stddev": 0.024159
-        }
-      },
-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "Japanese",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Japanese"
-      },
-      "score_details": {
-        "score": 0.9375,
-        "details": {
-          "confidence_interval": 0.023722,
-          "stddev": 0.023722
-        }
-      },
-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "Korean",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Korean"
-      },
-      "score_details": {
-        "score": 0.9275,
-        "details": {
-          "confidence_interval": 0.025412,
-          "stddev": 0.025412
-        }
-      },
-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "Portuguese",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Portuguese"
-      },
-      "score_details": {
-        "score": 0.93,
-        "details": {
-          "confidence_interval": 0.025004,
-          "stddev": 0.025004
-        }
-      },
-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "Spanish",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Spanish"
-      },
-      "score_details": {
-        "score": 0.94,
-        "details": {
-          "confidence_interval": 0.023273,
-          "stddev": 0.023273
-        }
-      },
-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "Swahili",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Swahili"
-      },
-      "score_details": {
-        "score": 0.9375,
-        "details": {
-          "confidence_interval": 0.023722,
-          "stddev": 0.023722
-        }
-      },
-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "Yoruba",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Yoruba"
-      },
-      "score_details": {
-        "score": 0.925,
-        "details": {
-          "confidence_interval": 0.025812,
-          "stddev": 0.025812
-        }
-      },
-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "Chinese",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Chinese"
-      },
-      "score_details": {
-        "score": 0.9275,
-        "details": {
-          "confidence_interval": 0.025412,
-          "stddev": 0.025412
-        }
-      },
-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "Burmese",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Burmese"
-      },
-      "score_details": {
-        "score": 0.93,
-        "details": {
-          "confidence_interval": 0.025004,
-          "stddev": 0.025004
-        }
-      },
-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    }
-  ]
-}
\ No newline at end of file
diff --git a/data/global-mmlu-lite/Google/Gemini-3-Pro-Preview/658d3005-8fe2-4560-acb9-e2e271b72cea.json b/data/global-mmlu-lite/Google/Gemini-3-Pro-Preview/658d3005-8fe2-4560-acb9-e2e271b72cea.json
deleted file mode 100644
index 7658e46a9..000000000
--- a/data/global-mmlu-lite/Google/Gemini-3-Pro-Preview/658d3005-8fe2-4560-acb9-e2e271b72cea.json
+++ /dev/null
@@ -1,353 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "global-mmlu-lite/google_gemini-3-pro-preview/1764290503.990892",
-  "retrieved_timestamp": "1764290503.990892",
-  "source_data": [
-    "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Cohere Labs",
-    "source_organization_url": "https://www.kaggle.com/organizations/cohere-labs",
-    "evaluator_relationship": "third_party",
-    "source_type": "documentation",
-    "source_name": "Kaggle Global MMLU Lite Leaderboard"
-  },
-  "model_info": {
-    "name": "Gemini 3 Pro Preview",
-    "id": "google/gemini-3-pro-preview",
-    "developer": "Google",
-    "inference_platform": "Kaggle"
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "Global MMLU Lite",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Global MMLU Lite"
-      },
-      "score_details": {
-        "score": 0.9453125
-      },
-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "Global MMLU Lite Culturally Sensitive",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Global MMLU Lite Culturally Sensitive"
-      },
-      "score_details": {
-        "score": 0.939688
-      },
-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "Global MMLU Lite Culturally Agnostic",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Global MMLU Lite Culturally Agnostic"
-      },
-      "score_details": {
-        "score": 0.950937
-      },
-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "Arabic",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Arabic"
-      },
-      "score_details": {
-        "score": 0.9475,
-        "details": {
-          "confidence_interval": 0.021857,
-          "stddev": 0.021857
-        }
-      },
-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "English",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task English"
-      },
-      "score_details": {
-        "score": 0.9425,
-        "details": {
-          "confidence_interval": 0.022814,
-          "stddev": 0.022814
-        }
-      },
-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "Bengali",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Bengali"
-      },
-      "score_details": {
-        "score": 0.9425,
-        "details": {
-          "confidence_interval": 0.022814,
-          "stddev": 0.022814
-        }
-      },
-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "German",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task German"
-      },
-      "score_details": {
-        "score": 0.94,
-        "details": {
-          "confidence_interval": 0.023273,
-          "stddev": 0.023273
-        }
-      },
-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "French",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task French"
-      },
-      "score_details": {
-        "score": 0.9575,
-        "details": {
-          "confidence_interval": 0.019769,
-          "stddev": 0.019769
-        }
-      },
-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "Hindi",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Hindi"
-      },
-      "score_details": {
-        "score": 0.9425,
-        "details": {
-          "confidence_interval": 0.022814,
-          "stddev": 0.022814
-        }
-      },
-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "Indonesian",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Indonesian"
-      },
-      "score_details": {
-        "score": 0.955,
-        "details": {
-          "confidence_interval": 0.020315,
-          "stddev": 0.020315
-        }
-      },
-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "Italian",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Italian"
-      },
-      "score_details": {
-        "score": 0.955,
-        "details": {
-          "confidence_interval": 0.020315,
-          "stddev": 0.020315
-        }
-      },
-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "Japanese",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Japanese"
-      },
-      "score_details": {
-        "score": 0.94,
-        "details": {
-          "confidence_interval": 0.023273,
-          "stddev": 0.023273
-        }
-      },
-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "Korean",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Korean"
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-          "stddev": 0.023273
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-    {
-      "evaluation_name": "Portuguese",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Portuguese"
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-          "confidence_interval": 0.022814,
-          "stddev": 0.022814
-        }
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-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "Spanish",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Spanish"
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-      "score_details": {
-        "score": 0.9475,
-        "details": {
-          "confidence_interval": 0.021857,
-          "stddev": 0.021857
-        }
-      },
-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "Swahili",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Swahili"
-      },
-      "score_details": {
-        "score": 0.94,
-        "details": {
-          "confidence_interval": 0.023273,
-          "stddev": 0.023273
-        }
-      },
-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "Yoruba",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Yoruba"
-      },
-      "score_details": {
-        "score": 0.9425,
-        "details": {
-          "confidence_interval": 0.022814,
-          "stddev": 0.022814
-        }
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-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "Chinese",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Chinese"
-      },
-      "score_details": {
-        "score": 0.9475,
-        "details": {
-          "confidence_interval": 0.021857,
-          "stddev": 0.021857
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-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "Burmese",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Burmese"
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-      "score_details": {
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-          "stddev": 0.022814
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-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    }
-  ]
-}
\ No newline at end of file
diff --git a/data/global-mmlu-lite/Google/Gemma-3-27B/21e8fec0-ea47-4375-9c99-c5a3811296e9.json b/data/global-mmlu-lite/Google/Gemma-3-27B/21e8fec0-ea47-4375-9c99-c5a3811296e9.json
deleted file mode 100644
index c2ed48e62..000000000
--- a/data/global-mmlu-lite/Google/Gemma-3-27B/21e8fec0-ea47-4375-9c99-c5a3811296e9.json
+++ /dev/null
@@ -1,353 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "global-mmlu-lite/google_gemma-3-27b/1764290504.001706",
-  "retrieved_timestamp": "1764290504.001706",
-  "source_data": [
-    "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Cohere Labs",
-    "source_organization_url": "https://www.kaggle.com/organizations/cohere-labs",
-    "evaluator_relationship": "third_party",
-    "source_type": "documentation",
-    "source_name": "Kaggle Global MMLU Lite Leaderboard"
-  },
-  "model_info": {
-    "name": "Gemma 3 27B",
-    "id": "google/gemma-3-27b",
-    "developer": "Google",
-    "inference_platform": "Kaggle"
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "Global MMLU Lite",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Global MMLU Lite"
-      },
-      "score_details": {
-        "score": 0.7630186674677049
-      },
-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "Global MMLU Lite Culturally Sensitive",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Global MMLU Lite Culturally Sensitive"
-      },
-      "score_details": {
-        "score": 0.7527856328378291
-      },
-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "Global MMLU Lite Culturally Agnostic",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Global MMLU Lite Culturally Agnostic"
-      },
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-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "Arabic",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Arabic"
-      },
-      "score_details": {
-        "score": 0.78,
-        "details": {
-          "confidence_interval": 0.040595,
-          "stddev": 0.040595
-        }
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-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "English",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task English"
-      },
-      "score_details": {
-        "score": 0.733668,
-        "details": {
-          "confidence_interval": 0.043428,
-          "stddev": 0.043428
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-      },
-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "Bengali",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Bengali"
-      },
-      "score_details": {
-        "score": 0.75,
-        "details": {
-          "confidence_interval": 0.042648,
-          "stddev": 0.042648
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-      },
-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "German",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task German"
-      },
-      "score_details": {
-        "score": 0.775,
-        "details": {
-          "confidence_interval": 0.040922,
-          "stddev": 0.040922
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-      },
-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "French",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task French"
-      },
-      "score_details": {
-        "score": 0.748092,
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-          "stddev": 0.042919
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-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "Hindi",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Hindi"
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-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
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-    {
-      "evaluation_name": "Indonesian",
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-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Indonesian"
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-      "evaluation_name": "Italian",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Italian"
-      },
-      "score_details": {
-        "score": 0.75,
-        "details": {
-          "confidence_interval": 0.042434,
-          "stddev": 0.042434
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-      },
-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "Japanese",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Japanese"
-      },
-      "score_details": {
-        "score": 0.7925,
-        "details": {
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-          "stddev": 0.03974
-        }
-      },
-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "Korean",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Korean"
-      },
-      "score_details": {
-        "score": 0.79798,
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-          "stddev": 0.039545
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-    },
-    {
-      "evaluation_name": "Portuguese",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Portuguese"
-      },
-      "score_details": {
-        "score": 0.748111,
-        "details": {
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-          "stddev": 0.042701
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-      },
-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "Spanish",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Spanish"
-      },
-      "score_details": {
-        "score": 0.749373,
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-          "stddev": 0.042523
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-      },
-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "Swahili",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Swahili"
-      },
-      "score_details": {
-        "score": 0.785,
-        "details": {
-          "confidence_interval": 0.04026,
-          "stddev": 0.04026
-        }
-      },
-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "Yoruba",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Yoruba"
-      },
-      "score_details": {
-        "score": 0.744361,
-        "details": {
-          "confidence_interval": 0.042802,
-          "stddev": 0.042802
-        }
-      },
-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "Chinese",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Chinese"
-      },
-      "score_details": {
-        "score": 0.7925,
-        "details": {
-          "confidence_interval": 0.03974,
-          "stddev": 0.03974
-        }
-      },
-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "Burmese",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Burmese"
-      },
-      "score_details": {
-        "score": 0.77193,
-        "details": {
-          "confidence_interval": 0.04117,
-          "stddev": 0.04117
-        }
-      },
-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    }
-  ]
-}
\ No newline at end of file
diff --git a/data/global-mmlu-lite/Google/Gemma-3-4B/dd08c6cc-919b-414d-a97e-025a7b485987.json b/data/global-mmlu-lite/Google/Gemma-3-4B/dd08c6cc-919b-414d-a97e-025a7b485987.json
deleted file mode 100644
index 4c8c5380d..000000000
--- a/data/global-mmlu-lite/Google/Gemma-3-4B/dd08c6cc-919b-414d-a97e-025a7b485987.json
+++ /dev/null
@@ -1,353 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "global-mmlu-lite/google_gemma-3-4b/1764290504.009719",
-  "retrieved_timestamp": "1764290504.009719",
-  "source_data": [
-    "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Cohere Labs",
-    "source_organization_url": "https://www.kaggle.com/organizations/cohere-labs",
-    "evaluator_relationship": "third_party",
-    "source_type": "documentation",
-    "source_name": "Kaggle Global MMLU Lite Leaderboard"
-  },
-  "model_info": {
-    "name": "Gemma 3 4B",
-    "id": "google/gemma-3-4b",
-    "developer": "Google",
-    "inference_platform": "Kaggle"
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "Global MMLU Lite",
-      "metric_config": {
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-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Global MMLU Lite"
-      },
-      "score_details": {
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-      },
-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "Global MMLU Lite Culturally Sensitive",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Global MMLU Lite Culturally Sensitive"
-      },
-      "score_details": {
-        "score": 0.6115625
-      },
-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "Global MMLU Lite Culturally Agnostic",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Global MMLU Lite Culturally Agnostic"
-      },
-      "score_details": {
-        "score": 0.690625
-      },
-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "Arabic",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Arabic"
-      },
-      "score_details": {
-        "score": 0.6525,
-        "details": {
-          "confidence_interval": 0.046664,
-          "stddev": 0.046664
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-      },
-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "English",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task English"
-      },
-      "score_details": {
-        "score": 0.67,
-        "details": {
-          "confidence_interval": 0.04608,
-          "stddev": 0.04608
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-      },
-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "Bengali",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Bengali"
-      },
-      "score_details": {
-        "score": 0.68,
-        "details": {
-          "confidence_interval": 0.045714,
-          "stddev": 0.045714
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-      },
-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "German",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task German"
-      },
-      "score_details": {
-        "score": 0.6525,
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-      "evaluation_name": "French",
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task French"
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-      "evaluation_name": "Hindi",
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-        "score_type": "continuous",
-        "min_score": 0.0,
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-        "evaluation_description": "Global MMLU Lite accuracy for task Hindi"
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-      "evaluation_name": "Indonesian",
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Indonesian"
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-          "stddev": 0.045808
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-    },
-    {
-      "evaluation_name": "Italian",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Italian"
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-        "details": {
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-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
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-      "evaluation_name": "Japanese",
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-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
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-      "evaluation_name": "Korean",
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-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Korean"
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-      "evaluation_name": "Portuguese",
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-        "score_type": "continuous",
-        "min_score": 0.0,
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-        "evaluation_description": "Global MMLU Lite accuracy for task Portuguese"
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-          "stddev": 0.045714
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-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
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-      "evaluation_name": "Spanish",
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Spanish"
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-          "stddev": 0.045991
-        }
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-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "Swahili",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Swahili"
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-      "score_details": {
-        "score": 0.6075,
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-          "confidence_interval": 0.047853,
-          "stddev": 0.047853
-        }
-      },
-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "Yoruba",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Yoruba"
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-          "stddev": 0.048327
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-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "Chinese",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Chinese"
-      },
-      "score_details": {
-        "score": 0.6475,
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-          "confidence_interval": 0.046819,
-          "stddev": 0.046819
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-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
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-      "evaluation_name": "Burmese",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Burmese"
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-}
\ No newline at end of file
diff --git a/data/global-mmlu-lite/IBM/Granite-4.0-Small/75bb331f-e492-4dfd-9f1b-b83cad2f04d9.json b/data/global-mmlu-lite/IBM/Granite-4.0-Small/75bb331f-e492-4dfd-9f1b-b83cad2f04d9.json
deleted file mode 100644
index 79d640997..000000000
--- a/data/global-mmlu-lite/IBM/Granite-4.0-Small/75bb331f-e492-4dfd-9f1b-b83cad2f04d9.json
+++ /dev/null
@@ -1,353 +0,0 @@
-{
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-  "evaluation_id": "global-mmlu-lite/ibm_granite-40-small/1764290504.007292",
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-  "source_data": [
-    "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Cohere Labs",
-    "source_organization_url": "https://www.kaggle.com/organizations/cohere-labs",
-    "evaluator_relationship": "third_party",
-    "source_type": "documentation",
-    "source_name": "Kaggle Global MMLU Lite Leaderboard"
-  },
-  "model_info": {
-    "name": "Granite 4.0 Small",
-    "id": "ibm/granite-40-small",
-    "developer": "IBM",
-    "inference_platform": "Kaggle"
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "Global MMLU Lite",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Global MMLU Lite"
-      },
-      "score_details": {
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-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "Global MMLU Lite Culturally Sensitive",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Global MMLU Lite Culturally Sensitive"
-      },
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-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
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-      "evaluation_name": "Global MMLU Lite Culturally Agnostic",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Global MMLU Lite Culturally Agnostic"
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-      "evaluation_name": "Arabic",
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Arabic"
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-          "stddev": 0.04188
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-    },
-    {
-      "evaluation_name": "English",
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task English"
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-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
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-      "evaluation_name": "Bengali",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Bengali"
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-      "evaluation_name": "German",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task German"
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-          "stddev": 0.042148
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-      "evaluation_name": "French",
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-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task French"
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-      "evaluation_name": "Hindi",
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-        "lower_is_better": false,
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-        "min_score": 0.0,
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-        "evaluation_description": "Global MMLU Lite accuracy for task Hindi"
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-        "evaluation_description": "Global MMLU Lite accuracy for task Indonesian"
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-    {
-      "evaluation_name": "Italian",
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Italian"
-      },
-      "score_details": {
-        "score": 0.7525,
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-          "stddev": 0.042292
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-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "Japanese",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Japanese"
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-      "score_details": {
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-          "stddev": 0.043118
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-      },
-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "Korean",
-      "metric_config": {
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-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Korean"
-      },
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-        "score": 0.7525,
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-    },
-    {
-      "evaluation_name": "Portuguese",
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-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Portuguese"
-      },
-      "score_details": {
-        "score": 0.756962,
-        "details": {
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-          "stddev": 0.042298
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-    },
-    {
-      "evaluation_name": "Spanish",
-      "metric_config": {
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-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Spanish"
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-          "stddev": 0.041728
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-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "Swahili",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Swahili"
-      },
-      "score_details": {
-        "score": 0.73183,
-        "details": {
-          "confidence_interval": 0.043468,
-          "stddev": 0.043468
-        }
-      },
-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "Yoruba",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Yoruba"
-      },
-      "score_details": {
-        "score": 0.692112,
-        "details": {
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-          "stddev": 0.045639
-        }
-      },
-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "Chinese",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Chinese"
-      },
-      "score_details": {
-        "score": 0.7475,
-        "details": {
-          "confidence_interval": 0.042575,
-          "stddev": 0.042575
-        }
-      },
-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "Burmese",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Burmese"
-      },
-      "score_details": {
-        "score": 0.741855,
-        "details": {
-          "confidence_interval": 0.042939,
-          "stddev": 0.042939
-        }
-      },
-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    }
-  ]
-}
\ No newline at end of file
diff --git a/data/global-mmlu-lite/Mistral-AI/Mistral-Medium-3/b08417e3-22f1-40e7-a621-f25531972052.json b/data/global-mmlu-lite/Mistral-AI/Mistral-Medium-3/b08417e3-22f1-40e7-a621-f25531972052.json
deleted file mode 100644
index 65ece62ea..000000000
--- a/data/global-mmlu-lite/Mistral-AI/Mistral-Medium-3/b08417e3-22f1-40e7-a621-f25531972052.json
+++ /dev/null
@@ -1,353 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "global-mmlu-lite/mistral-ai_mistral-medium-3/1764290504.01061",
-  "retrieved_timestamp": "1764290504.01061",
-  "source_data": [
-    "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Cohere Labs",
-    "source_organization_url": "https://www.kaggle.com/organizations/cohere-labs",
-    "evaluator_relationship": "third_party",
-    "source_type": "documentation",
-    "source_name": "Kaggle Global MMLU Lite Leaderboard"
-  },
-  "model_info": {
-    "name": "Mistral Medium 3",
-    "id": "mistral-ai/mistral-medium-3",
-    "developer": "Mistral AI",
-    "inference_platform": "Kaggle"
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "Global MMLU Lite",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Global MMLU Lite"
-      },
-      "score_details": {
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-    }
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-}
\ No newline at end of file
diff --git a/data/global-mmlu-lite/Mistral-AI/Mistral-Small-3.1/f5efe093-1cec-4e7f-8413-05039461ed27.json b/data/global-mmlu-lite/Mistral-AI/Mistral-Small-3.1/f5efe093-1cec-4e7f-8413-05039461ed27.json
deleted file mode 100644
index b785a18fb..000000000
--- a/data/global-mmlu-lite/Mistral-AI/Mistral-Small-3.1/f5efe093-1cec-4e7f-8413-05039461ed27.json
+++ /dev/null
@@ -1,353 +0,0 @@
-{
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-  "evaluation_id": "global-mmlu-lite/mistral-ai_mistral-small-31/1764290503.99838",
-  "retrieved_timestamp": "1764290503.99838",
-  "source_data": [
-    "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-  ],
-  "source_metadata": {
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-    "source_organization_url": "https://www.kaggle.com/organizations/cohere-labs",
-    "evaluator_relationship": "third_party",
-    "source_type": "documentation",
-    "source_name": "Kaggle Global MMLU Lite Leaderboard"
-  },
-  "model_info": {
-    "name": "Mistral Small 3.1",
-    "id": "mistral-ai/mistral-small-31",
-    "developer": "Mistral AI",
-    "inference_platform": "Kaggle"
-  },
-  "evaluation_results": [
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-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Global MMLU Lite"
-      },
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-    },
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-        "evaluation_description": "Global MMLU Lite accuracy for task Global MMLU Lite Culturally Sensitive"
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-    },
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-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Global MMLU Lite Culturally Agnostic"
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-        "evaluation_description": "Global MMLU Lite accuracy for task Arabic"
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-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task English"
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\ No newline at end of file
diff --git a/data/global-mmlu-lite/OpenAI/GPT-4.1/ab0d8833-09d3-4d42-b1f4-e0d3e410ea7f.json b/data/global-mmlu-lite/OpenAI/GPT-4.1/ab0d8833-09d3-4d42-b1f4-e0d3e410ea7f.json
deleted file mode 100644
index 1941b09e8..000000000
--- a/data/global-mmlu-lite/OpenAI/GPT-4.1/ab0d8833-09d3-4d42-b1f4-e0d3e410ea7f.json
+++ /dev/null
@@ -1,353 +0,0 @@
-{
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-    "developer": "OpenAI",
-    "inference_platform": "Kaggle"
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-    }
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-}
\ No newline at end of file
diff --git a/data/global-mmlu-lite/OpenAI/GPT-5/744ce6aa-57ad-4f39-ac32-6ccce3fb727c.json b/data/global-mmlu-lite/OpenAI/GPT-5/744ce6aa-57ad-4f39-ac32-6ccce3fb727c.json
deleted file mode 100644
index fec4c936c..000000000
--- a/data/global-mmlu-lite/OpenAI/GPT-5/744ce6aa-57ad-4f39-ac32-6ccce3fb727c.json
+++ /dev/null
@@ -1,353 +0,0 @@
-{
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-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Korean"
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-        "score_type": "continuous",
-        "min_score": 0.0,
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-        "evaluation_description": "Global MMLU Lite accuracy for task Portuguese"
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-          "stddev": 0.030966
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-      "evaluation_name": "Spanish",
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Spanish"
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-      "score_details": {
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-        "details": {
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-          "stddev": 0.028735
-        }
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-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "Swahili",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Swahili"
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-      "score_details": {
-        "score": 0.865,
-        "details": {
-          "confidence_interval": 0.033488,
-          "stddev": 0.033488
-        }
-      },
-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "Yoruba",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Yoruba"
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-          "stddev": 0.027691
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-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
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-    {
-      "evaluation_name": "Chinese",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Chinese"
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-      "evaluation_name": "Burmese",
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-        "score_type": "continuous",
-        "min_score": 0.0,
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-        "evaluation_description": "Global MMLU Lite accuracy for task Burmese"
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-    }
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-}
\ No newline at end of file
diff --git a/data/global-mmlu-lite/OpenAI/o3-mini/c38e906d-d904-4515-8312-76c1082343c3.json b/data/global-mmlu-lite/OpenAI/o3-mini/c38e906d-d904-4515-8312-76c1082343c3.json
deleted file mode 100644
index 522d9eccb..000000000
--- a/data/global-mmlu-lite/OpenAI/o3-mini/c38e906d-d904-4515-8312-76c1082343c3.json
+++ /dev/null
@@ -1,353 +0,0 @@
-{
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-  "evaluation_id": "global-mmlu-lite/openai_o3-mini/1764290504.001088",
-  "retrieved_timestamp": "1764290504.001088",
-  "source_data": [
-    "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Cohere Labs",
-    "source_organization_url": "https://www.kaggle.com/organizations/cohere-labs",
-    "evaluator_relationship": "third_party",
-    "source_type": "documentation",
-    "source_name": "Kaggle Global MMLU Lite Leaderboard"
-  },
-  "model_info": {
-    "name": "o3 mini",
-    "id": "openai/o3-mini",
-    "developer": "OpenAI",
-    "inference_platform": "Kaggle"
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "Global MMLU Lite",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Global MMLU Lite"
-      },
-      "score_details": {
-        "score": 0.7799999999999999
-      },
-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "Global MMLU Lite Culturally Sensitive",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Global MMLU Lite Culturally Sensitive"
-      },
-      "score_details": {
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-      },
-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "Global MMLU Lite Culturally Agnostic",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Global MMLU Lite Culturally Agnostic"
-      },
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-      },
-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
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-    {
-      "evaluation_name": "Arabic",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Arabic"
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-      "score_details": {
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-          "stddev": 0.041083
-        }
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-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "English",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task English"
-      },
-      "score_details": {
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-        "details": {
-          "confidence_interval": 0.039014,
-          "stddev": 0.039014
-        }
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-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "Bengali",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Bengali"
-      },
-      "score_details": {
-        "score": 0.77,
-        "details": {
-          "confidence_interval": 0.041241,
-          "stddev": 0.041241
-        }
-      },
-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "German",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task German"
-      },
-      "score_details": {
-        "score": 0.7525,
-        "details": {
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-          "stddev": 0.042292
-        }
-      },
-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "French",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task French"
-      },
-      "score_details": {
-        "score": 0.74,
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-          "confidence_interval": 0.042985,
-          "stddev": 0.042985
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-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "Hindi",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Hindi"
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-          "stddev": 0.042292
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-      "evaluation_name": "Indonesian",
-      "metric_config": {
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-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Indonesian"
-      },
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-        "details": {
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-    },
-    {
-      "evaluation_name": "Italian",
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Italian"
-      },
-      "score_details": {
-        "score": 0.8,
-        "details": {
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-          "stddev": 0.039199
-        }
-      },
-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "Japanese",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Japanese"
-      },
-      "score_details": {
-        "score": 0.81,
-        "details": {
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-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "Korean",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Korean"
-      },
-      "score_details": {
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-          "stddev": 0.038637
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-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "Portuguese",
-      "metric_config": {
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-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Portuguese"
-      },
-      "score_details": {
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-          "stddev": 0.039382
-        }
-      },
-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "Spanish",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Spanish"
-      },
-      "score_details": {
-        "score": 0.775,
-        "details": {
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-          "stddev": 0.040922
-        }
-      },
-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "Swahili",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Swahili"
-      },
-      "score_details": {
-        "score": 0.765,
-        "details": {
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-          "stddev": 0.041551
-        }
-      },
-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "Yoruba",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Yoruba"
-      },
-      "score_details": {
-        "score": 0.7725,
-        "details": {
-          "confidence_interval": 0.041083,
-          "stddev": 0.041083
-        }
-      },
-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "Chinese",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Chinese"
-      },
-      "score_details": {
-        "score": 0.8125,
-        "details": {
-          "confidence_interval": 0.03825,
-          "stddev": 0.03825
-        }
-      },
-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "Burmese",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Burmese"
-      },
-      "score_details": {
-        "score": 0.8075,
-        "details": {
-          "confidence_interval": 0.038637,
-          "stddev": 0.038637
-        }
-      },
-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    }
-  ]
-}
\ No newline at end of file
diff --git a/data/global-mmlu-lite/OpenAI/o4-mini/16f3cc58-7107-4443-b872-c8515feb67ef.json b/data/global-mmlu-lite/OpenAI/o4-mini/16f3cc58-7107-4443-b872-c8515feb67ef.json
deleted file mode 100644
index 960d40b95..000000000
--- a/data/global-mmlu-lite/OpenAI/o4-mini/16f3cc58-7107-4443-b872-c8515feb67ef.json
+++ /dev/null
@@ -1,353 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "global-mmlu-lite/openai_o4-mini/1764290503.995967",
-  "retrieved_timestamp": "1764290503.995967",
-  "source_data": [
-    "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Cohere Labs",
-    "source_organization_url": "https://www.kaggle.com/organizations/cohere-labs",
-    "evaluator_relationship": "third_party",
-    "source_type": "documentation",
-    "source_name": "Kaggle Global MMLU Lite Leaderboard"
-  },
-  "model_info": {
-    "name": "o4 mini",
-    "id": "openai/o4-mini",
-    "developer": "OpenAI",
-    "inference_platform": "Kaggle"
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "Global MMLU Lite",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Global MMLU Lite"
-      },
-      "score_details": {
-        "score": 0.87046875
-      },
-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "Global MMLU Lite Culturally Sensitive",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Global MMLU Lite Culturally Sensitive"
-      },
-      "score_details": {
-        "score": 0.8503125
-      },
-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "Global MMLU Lite Culturally Agnostic",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Global MMLU Lite Culturally Agnostic"
-      },
-      "score_details": {
-        "score": 0.890625
-      },
-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "Arabic",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Arabic"
-      },
-      "score_details": {
-        "score": 0.865,
-        "details": {
-          "confidence_interval": 0.033488,
-          "stddev": 0.033488
-        }
-      },
-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "English",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task English"
-      },
-      "score_details": {
-        "score": 0.8675,
-        "details": {
-          "confidence_interval": 0.033225,
-          "stddev": 0.033225
-        }
-      },
-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "Bengali",
-      "metric_config": {
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Bengali"
-      },
-      "score_details": {
-        "score": 0.8875,
-        "details": {
-          "confidence_interval": 0.030966,
-          "stddev": 0.030966
-        }
-      },
-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
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diff --git a/data/global-mmlu-lite/alibaba/qwen3-235b-a22b-instruct-2507/2d0a09db-e97e-4ef7-9987-ef7c933ad721.json b/data/global-mmlu-lite/alibaba/qwen3-235b-a22b-instruct-2507/2d0a09db-e97e-4ef7-9987-ef7c933ad721.json
new file mode 100644
index 000000000..a4dc797fb
--- /dev/null
+++ b/data/global-mmlu-lite/alibaba/qwen3-235b-a22b-instruct-2507/2d0a09db-e97e-4ef7-9987-ef7c933ad721.json
@@ -0,0 +1,451 @@
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new file mode 100644
index 000000000..6c40a8d5c
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diff --git a/data/global-mmlu-lite/anthropic/claude-3-7-sonnet-20250219/4291c294-8155-4664-aec4-272445cc8862.json b/data/global-mmlu-lite/anthropic/claude-3-7-sonnet-20250219/4291c294-8155-4664-aec4-272445cc8862.json
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diff --git a/data/global-mmlu-lite/anthropic/claude-opus-4-1-20250805/911db593-5c95-41e9-9264-b130be6a9fb1.json b/data/global-mmlu-lite/anthropic/claude-opus-4-1-20250805/911db593-5c95-41e9-9264-b130be6a9fb1.json
new file mode 100644
index 000000000..9cd771388
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@@ -0,0 +1,451 @@
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diff --git a/data/global-mmlu-lite/anthropic/claude-sonnet-4-20250514/51465d80-23e2-4328-8845-70b373408d65.json b/data/global-mmlu-lite/anthropic/claude-sonnet-4-20250514/51465d80-23e2-4328-8845-70b373408d65.json
new file mode 100644
index 000000000..6fd34931c
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+}
\ No newline at end of file
diff --git a/data/global-mmlu-lite/cohere/command-a-03-2025/12a16399-1aff-4173-9677-58d0d9e23ea2.json b/data/global-mmlu-lite/cohere/command-a-03-2025/12a16399-1aff-4173-9677-58d0d9e23ea2.json
new file mode 100644
index 000000000..da92ce8b3
--- /dev/null
+++ b/data/global-mmlu-lite/cohere/command-a-03-2025/12a16399-1aff-4173-9677-58d0d9e23ea2.json
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new file mode 100644
index 000000000..9c1f481e7
--- /dev/null
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\ No newline at end of file
diff --git a/data/global-mmlu-lite/deepseek/deepseek-v3.1/803ce795-80f9-49a1-92a5-8d81c8d0ff4b.json b/data/global-mmlu-lite/deepseek/deepseek-v3.1/803ce795-80f9-49a1-92a5-8d81c8d0ff4b.json
new file mode 100644
index 000000000..48717a932
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+}
\ No newline at end of file
diff --git a/data/global-mmlu-lite/google/gemini-2.5-flash-preview-05-20/3796f2e5-ee3f-4598-911f-92e8efac92c3.json b/data/global-mmlu-lite/google/gemini-2.5-flash-preview-05-20/3796f2e5-ee3f-4598-911f-92e8efac92c3.json
new file mode 100644
index 000000000..7e5476dde
--- /dev/null
+++ b/data/global-mmlu-lite/google/gemini-2.5-flash-preview-05-20/3796f2e5-ee3f-4598-911f-92e8efac92c3.json
@@ -0,0 +1,451 @@
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\ No newline at end of file
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new file mode 100644
index 000000000..13616c5b7
--- /dev/null
+++ b/data/global-mmlu-lite/google/gemini-2.5-flash/b225eef0-9698-4340-bc6d-cece877c8863.json
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+}
\ No newline at end of file
diff --git a/data/global-mmlu-lite/google/gemini-2.5-pro/531fe0ba-1f29-4409-abdb-daad56918fcc.json b/data/global-mmlu-lite/google/gemini-2.5-pro/531fe0ba-1f29-4409-abdb-daad56918fcc.json
new file mode 100644
index 000000000..e386875a5
--- /dev/null
+++ b/data/global-mmlu-lite/google/gemini-2.5-pro/531fe0ba-1f29-4409-abdb-daad56918fcc.json
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+}
\ No newline at end of file
diff --git a/data/global-mmlu-lite/google/gemini-3-pro-preview/9193adbe-0c95-4b5e-a179-4c14e749a75c.json b/data/global-mmlu-lite/google/gemini-3-pro-preview/9193adbe-0c95-4b5e-a179-4c14e749a75c.json
new file mode 100644
index 000000000..358a13ce5
--- /dev/null
+++ b/data/global-mmlu-lite/google/gemini-3-pro-preview/9193adbe-0c95-4b5e-a179-4c14e749a75c.json
@@ -0,0 +1,451 @@
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\ No newline at end of file
diff --git a/data/global-mmlu-lite/google/gemma-3-27b-it/7a0bdc36-cff9-4a01-aa5c-750882aeccd4.json b/data/global-mmlu-lite/google/gemma-3-27b-it/7a0bdc36-cff9-4a01-aa5c-750882aeccd4.json
new file mode 100644
index 000000000..0fda04c23
--- /dev/null
+++ b/data/global-mmlu-lite/google/gemma-3-27b-it/7a0bdc36-cff9-4a01-aa5c-750882aeccd4.json
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\ No newline at end of file
diff --git a/data/global-mmlu-lite/google/gemma-3-4b-it/548f8e83-3e97-4cb4-83ac-8da11d8f3e5f.json b/data/global-mmlu-lite/google/gemma-3-4b-it/548f8e83-3e97-4cb4-83ac-8da11d8f3e5f.json
new file mode 100644
index 000000000..291f3c560
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+++ b/data/global-mmlu-lite/google/gemma-3-4b-it/548f8e83-3e97-4cb4-83ac-8da11d8f3e5f.json
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+}
\ No newline at end of file
diff --git a/data/global-mmlu-lite/mistralai/mistral-medium-3/1e2e51d0-42e8-4564-a42c-31819f89f459.json b/data/global-mmlu-lite/mistralai/mistral-medium-3/1e2e51d0-42e8-4564-a42c-31819f89f459.json
new file mode 100644
index 000000000..8c936e6ff
--- /dev/null
+++ b/data/global-mmlu-lite/mistralai/mistral-medium-3/1e2e51d0-42e8-4564-a42c-31819f89f459.json
@@ -0,0 +1,451 @@
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new file mode 100644
index 000000000..31a088393
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index 000000000..9e6900ce9
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+}
\ No newline at end of file
diff --git a/data/global-mmlu-lite/openai/gpt-5-2025-08-07/07d59b47-f0d1-48a4-87fb-b931bbb21ac7.json b/data/global-mmlu-lite/openai/gpt-5-2025-08-07/07d59b47-f0d1-48a4-87fb-b931bbb21ac7.json
new file mode 100644
index 000000000..a1689b336
--- /dev/null
+++ b/data/global-mmlu-lite/openai/gpt-5-2025-08-07/07d59b47-f0d1-48a4-87fb-b931bbb21ac7.json
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new file mode 100644
index 000000000..f888f274b
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diff --git a/data/global-mmlu-lite/unknown/aya-expanse-32b/1b07b6c2-9eb1-4e90-9e29-91c2b8258b4d.json b/data/global-mmlu-lite/unknown/aya-expanse-32b/1b07b6c2-9eb1-4e90-9e29-91c2b8258b4d.json
new file mode 100644
index 000000000..438f36e4d
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+}
\ No newline at end of file
diff --git a/data/global-mmlu-lite/unknown/granite-4.0-h-small/96569c98-0d02-4b32-b915-87b707102913.json b/data/global-mmlu-lite/unknown/granite-4.0-h-small/96569c98-0d02-4b32-b915-87b707102913.json
new file mode 100644
index 000000000..a8365f097
--- /dev/null
+++ b/data/global-mmlu-lite/unknown/granite-4.0-h-small/96569c98-0d02-4b32-b915-87b707102913.json
@@ -0,0 +1,451 @@
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+        "lower_is_better": false,
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+        "max_score": 1.0
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+    },
+    {
+      "evaluation_name": "Burmese",
+      "source_data": {
+        "dataset_name": "global-mmlu-lite",
+        "source_type": "url",
+        "url": [
+          "https://www.kaggle.com/datasets/cohere-labs/global-mmlu-lite"
+        ]
+      },
+      "metric_config": {
+        "evaluation_description": "Global MMLU Lite - Burmese",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "details": {
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+    }
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+}
\ No newline at end of file
diff --git a/data/global-mmlu-lite/unknown/o4-mini-2025-04-16/f1955ca9-b8ef-4565-9c4c-2e7aaba6a9db.json b/data/global-mmlu-lite/unknown/o4-mini-2025-04-16/f1955ca9-b8ef-4565-9c4c-2e7aaba6a9db.json
new file mode 100644
index 000000000..8cd940025
--- /dev/null
+++ b/data/global-mmlu-lite/unknown/o4-mini-2025-04-16/f1955ca9-b8ef-4565-9c4c-2e7aaba6a9db.json
@@ -0,0 +1,451 @@
+{
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+  "source_metadata": {
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+    "source_organization_url": "https://cohere.com",
+    "evaluator_relationship": "third_party"
+  },
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+    "id": "unknown/o4-mini-2025-04-16",
+    "developer": "unknown",
+    "inference_platform": "unknown",
+    "additional_details": {
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+  "evaluation_results": [
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+      },
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+      },
+      "metric_config": {
+        "evaluation_description": "Global MMLU Lite - Culturally Sensitive",
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+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.8503
+      }
+    },
+    {
+      "evaluation_name": "Culturally Agnostic",
+      "source_data": {
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+        "source_type": "url",
+        "url": [
+          "https://www.kaggle.com/datasets/cohere-labs/global-mmlu-lite"
+        ]
+      },
+      "metric_config": {
+        "evaluation_description": "Global MMLU Lite - Culturally Agnostic",
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+    },
+    {
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+      "source_data": {
+        "dataset_name": "global-mmlu-lite",
+        "source_type": "url",
+        "url": [
+          "https://www.kaggle.com/datasets/cohere-labs/global-mmlu-lite"
+        ]
+      },
+      "metric_config": {
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+    },
+    {
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+        "dataset_name": "global-mmlu-lite",
+        "source_type": "url",
+        "url": [
+          "https://www.kaggle.com/datasets/cohere-labs/global-mmlu-lite"
+        ]
+      },
+      "metric_config": {
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+    {
+      "evaluation_name": "Bengali",
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+        "dataset_name": "global-mmlu-lite",
+        "source_type": "url",
+        "url": [
+          "https://www.kaggle.com/datasets/cohere-labs/global-mmlu-lite"
+        ]
+      },
+      "metric_config": {
+        "evaluation_description": "Global MMLU Lite - Bengali",
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+      }
+    },
+    {
+      "evaluation_name": "German",
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+        "dataset_name": "global-mmlu-lite",
+        "source_type": "url",
+        "url": [
+          "https://www.kaggle.com/datasets/cohere-labs/global-mmlu-lite"
+        ]
+      },
+      "metric_config": {
+        "evaluation_description": "Global MMLU Lite - German",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
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+    },
+    {
+      "evaluation_name": "French",
+      "source_data": {
+        "dataset_name": "global-mmlu-lite",
+        "source_type": "url",
+        "url": [
+          "https://www.kaggle.com/datasets/cohere-labs/global-mmlu-lite"
+        ]
+      },
+      "metric_config": {
+        "evaluation_description": "Global MMLU Lite - French",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+    },
+    {
+      "evaluation_name": "Hindi",
+      "source_data": {
+        "dataset_name": "global-mmlu-lite",
+        "source_type": "url",
+        "url": [
+          "https://www.kaggle.com/datasets/cohere-labs/global-mmlu-lite"
+        ]
+      },
+      "metric_config": {
+        "evaluation_description": "Global MMLU Lite - Hindi",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+    },
+    {
+      "evaluation_name": "Indonesian",
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+        "source_type": "url",
+        "url": [
+          "https://www.kaggle.com/datasets/cohere-labs/global-mmlu-lite"
+        ]
+      },
+      "metric_config": {
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+          "https://www.kaggle.com/datasets/cohere-labs/global-mmlu-lite"
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+      },
+      "metric_config": {
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+    {
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+        "source_type": "url",
+        "url": [
+          "https://www.kaggle.com/datasets/cohere-labs/global-mmlu-lite"
+        ]
+      },
+      "metric_config": {
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+        "score_type": "continuous",
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+    {
+      "evaluation_name": "Korean",
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+        "source_type": "url",
+        "url": [
+          "https://www.kaggle.com/datasets/cohere-labs/global-mmlu-lite"
+        ]
+      },
+      "metric_config": {
+        "evaluation_description": "Global MMLU Lite - Korean",
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+        "score_type": "continuous",
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+    },
+    {
+      "evaluation_name": "Portuguese",
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+        "source_type": "url",
+        "url": [
+          "https://www.kaggle.com/datasets/cohere-labs/global-mmlu-lite"
+        ]
+      },
+      "metric_config": {
+        "evaluation_description": "Global MMLU Lite - Portuguese",
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+        "score_type": "continuous",
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+    },
+    {
+      "evaluation_name": "Spanish",
+      "source_data": {
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+        "source_type": "url",
+        "url": [
+          "https://www.kaggle.com/datasets/cohere-labs/global-mmlu-lite"
+        ]
+      },
+      "metric_config": {
+        "evaluation_description": "Global MMLU Lite - Spanish",
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+        "score_type": "continuous",
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+      "score_details": {
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+    },
+    {
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+        "source_type": "url",
+        "url": [
+          "https://www.kaggle.com/datasets/cohere-labs/global-mmlu-lite"
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+      },
+      "metric_config": {
+        "evaluation_description": "Global MMLU Lite - Swahili",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+      "score_details": {
+        "score": 0.8525,
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+          "confidence_interval": 0.0347505193336969
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+    {
+      "evaluation_name": "Yoruba",
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+        "source_type": "url",
+        "url": [
+          "https://www.kaggle.com/datasets/cohere-labs/global-mmlu-lite"
+        ]
+      },
+      "metric_config": {
+        "evaluation_description": "Global MMLU Lite - Yoruba",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.8525,
+        "details": {
+          "confidence_interval": 0.0347505193336969
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+      }
+    },
+    {
+      "evaluation_name": "Chinese",
+      "source_data": {
+        "dataset_name": "global-mmlu-lite",
+        "source_type": "url",
+        "url": [
+          "https://www.kaggle.com/datasets/cohere-labs/global-mmlu-lite"
+        ]
+      },
+      "metric_config": {
+        "evaluation_description": "Global MMLU Lite - Chinese",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.89,
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+      }
+    },
+    {
+      "evaluation_name": "Burmese",
+      "source_data": {
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+        "source_type": "url",
+        "url": [
+          "https://www.kaggle.com/datasets/cohere-labs/global-mmlu-lite"
+        ]
+      },
+      "metric_config": {
+        "evaluation_description": "Global MMLU Lite - Burmese",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+      },
+      "score_details": {
+        "score": 0.8725,
+        "details": {
+          "confidence_interval": 0.0326855581520567
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+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/global-mmlu-lite/xAI/Grok-3-Mini/d3dd93e4-0cfe-4141-a835-3921fb80ed27.json b/data/global-mmlu-lite/xAI/Grok-3-Mini/d3dd93e4-0cfe-4141-a835-3921fb80ed27.json
deleted file mode 100644
index 6d41f0fad..000000000
--- a/data/global-mmlu-lite/xAI/Grok-3-Mini/d3dd93e4-0cfe-4141-a835-3921fb80ed27.json
+++ /dev/null
@@ -1,353 +0,0 @@
-{
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-    "source_organization_url": "https://www.kaggle.com/organizations/cohere-labs",
-    "evaluator_relationship": "third_party",
-    "source_type": "documentation",
-    "source_name": "Kaggle Global MMLU Lite Leaderboard"
-  },
-  "model_info": {
-    "name": "Grok 3 Mini",
-    "id": "xai/grok-3-mini",
-    "developer": "xAI",
-    "inference_platform": "Kaggle"
-  },
-  "evaluation_results": [
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-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Global MMLU Lite"
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-      "score_details": {
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-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
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-    {
-      "evaluation_name": "Global MMLU Lite Culturally Sensitive",
-      "metric_config": {
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-        "min_score": 0.0,
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-        "evaluation_description": "Global MMLU Lite accuracy for task Global MMLU Lite Culturally Sensitive"
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-        "score_type": "continuous",
-        "min_score": 0.0,
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-        "evaluation_description": "Global MMLU Lite accuracy for task Arabic"
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-    {
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-        "min_score": 0.0,
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-        "evaluation_description": "Global MMLU Lite accuracy for task English"
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-        "details": {
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-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
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-      "evaluation_name": "Chinese",
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-        "score_type": "continuous",
-        "min_score": 0.0,
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-        "evaluation_description": "Global MMLU Lite accuracy for task Chinese"
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-}
\ No newline at end of file
diff --git a/data/global-mmlu-lite/xAI/Grok-4/96c76d71-942b-452b-919b-ad13bd1614d6.json b/data/global-mmlu-lite/xAI/Grok-4/96c76d71-942b-452b-919b-ad13bd1614d6.json
deleted file mode 100644
index a0bafc029..000000000
--- a/data/global-mmlu-lite/xAI/Grok-4/96c76d71-942b-452b-919b-ad13bd1614d6.json
+++ /dev/null
@@ -1,353 +0,0 @@
-{
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-  "evaluation_id": "global-mmlu-lite/xai_grok-4/1764290503.994506",
-  "retrieved_timestamp": "1764290503.994506",
-  "source_data": [
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-  "source_metadata": {
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-    "source_organization_url": "https://www.kaggle.com/organizations/cohere-labs",
-    "evaluator_relationship": "third_party",
-    "source_type": "documentation",
-    "source_name": "Kaggle Global MMLU Lite Leaderboard"
-  },
-  "model_info": {
-    "name": "Grok 4",
-    "id": "xai/grok-4",
-    "developer": "xAI",
-    "inference_platform": "Kaggle"
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "Global MMLU Lite",
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-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Global MMLU Lite"
-      },
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-    },
-    {
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-      "metric_config": {
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-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
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-        "score_type": "continuous",
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-    {
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-        "score_type": "continuous",
-        "min_score": 0.0,
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-        "evaluation_description": "Global MMLU Lite accuracy for task English"
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-          "stddev": 0.028735
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-      "evaluation_name": "Bengali",
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-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
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-        "score_type": "continuous",
-        "min_score": 0.0,
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-        "evaluation_description": "Global MMLU Lite accuracy for task German"
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-        "min_score": 0.0,
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-    {
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-    {
-      "evaluation_name": "Swahili",
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-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "Yoruba",
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-    },
-    {
-      "evaluation_name": "Chinese",
-      "metric_config": {
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-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Chinese"
-      },
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-        "details": {
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-          "stddev": 0.034751
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-      },
-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    },
-    {
-      "evaluation_name": "Burmese",
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0,
-        "evaluation_description": "Global MMLU Lite accuracy for task Burmese"
-      },
-      "score_details": {
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-        "details": {
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-      },
-      "detailed_evaluation_results_url": "https://www.kaggle.com/benchmarks/cohere-labs/global-mmlu-lite"
-    }
-  ]
-}
\ No newline at end of file
diff --git a/data/global-mmlu-lite/xai/grok-3-mini/143d53e6-b34e-4fa8-af3f-8019cef29abb.json b/data/global-mmlu-lite/xai/grok-3-mini/143d53e6-b34e-4fa8-af3f-8019cef29abb.json
new file mode 100644
index 000000000..18e2509ab
--- /dev/null
+++ b/data/global-mmlu-lite/xai/grok-3-mini/143d53e6-b34e-4fa8-af3f-8019cef29abb.json
@@ -0,0 +1,451 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "global-mmlu-lite/xai_grok-3-mini/1770682039.8556428",
+  "retrieved_timestamp": "1770682039.8556428",
+  "source_metadata": {
+    "source_name": "Global MMLU Lite",
+    "source_type": "documentation",
+    "source_organization_name": "Cohere Labs",
+    "source_organization_url": "https://cohere.com",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "grok-3-mini",
+    "id": "xai/grok-3-mini",
+    "developer": "xai",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "display_name": "Grok 3 Mini"
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "Global MMLU Lite",
+      "source_data": {
+        "dataset_name": "global-mmlu-lite",
+        "source_type": "url",
+        "url": [
+          "https://www.kaggle.com/datasets/cohere-labs/global-mmlu-lite"
+        ]
+      },
+      "metric_config": {
+        "evaluation_description": "Global MMLU Lite - Global MMLU Lite",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.673
+      }
+    },
+    {
+      "evaluation_name": "Culturally Sensitive",
+      "source_data": {
+        "dataset_name": "global-mmlu-lite",
+        "source_type": "url",
+        "url": [
+          "https://www.kaggle.com/datasets/cohere-labs/global-mmlu-lite"
+        ]
+      },
+      "metric_config": {
+        "evaluation_description": "Global MMLU Lite - Culturally Sensitive",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6717
+      }
+    },
+    {
+      "evaluation_name": "Culturally Agnostic",
+      "source_data": {
+        "dataset_name": "global-mmlu-lite",
+        "source_type": "url",
+        "url": [
+          "https://www.kaggle.com/datasets/cohere-labs/global-mmlu-lite"
+        ]
+      },
+      "metric_config": {
+        "evaluation_description": "Global MMLU Lite - Culturally Agnostic",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+}
\ No newline at end of file
diff --git a/data/global-mmlu-lite/xai/grok-4-0709/bcfa473c-1686-42af-8d07-4c8b92c3d864.json b/data/global-mmlu-lite/xai/grok-4-0709/bcfa473c-1686-42af-8d07-4c8b92c3d864.json
new file mode 100644
index 000000000..0a731d29e
--- /dev/null
+++ b/data/global-mmlu-lite/xai/grok-4-0709/bcfa473c-1686-42af-8d07-4c8b92c3d864.json
@@ -0,0 +1,451 @@
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+        "source_type": "url",
+        "url": [
+          "https://www.kaggle.com/datasets/cohere-labs/global-mmlu-lite"
+        ]
+      },
+      "metric_config": {
+        "evaluation_description": "Global MMLU Lite - Spanish",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.9075,
+        "details": {
+          "confidence_interval": 0.0283930651251164
+        }
+      }
+    },
+    {
+      "evaluation_name": "Swahili",
+      "source_data": {
+        "dataset_name": "global-mmlu-lite",
+        "source_type": "url",
+        "url": [
+          "https://www.kaggle.com/datasets/cohere-labs/global-mmlu-lite"
+        ]
+      },
+      "metric_config": {
+        "evaluation_description": "Global MMLU Lite - Swahili",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.91,
+        "details": {
+          "confidence_interval": 0.0280452971732717
+        }
+      }
+    },
+    {
+      "evaluation_name": "Yoruba",
+      "source_data": {
+        "dataset_name": "global-mmlu-lite",
+        "source_type": "url",
+        "url": [
+          "https://www.kaggle.com/datasets/cohere-labs/global-mmlu-lite"
+        ]
+      },
+      "metric_config": {
+        "evaluation_description": "Global MMLU Lite - Yoruba",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.905,
+        "details": {
+          "confidence_interval": 0.0287345359327925
+        }
+      }
+    },
+    {
+      "evaluation_name": "Chinese",
+      "source_data": {
+        "dataset_name": "global-mmlu-lite",
+        "source_type": "url",
+        "url": [
+          "https://www.kaggle.com/datasets/cohere-labs/global-mmlu-lite"
+        ]
+      },
+      "metric_config": {
+        "evaluation_description": "Global MMLU Lite - Chinese",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.8525,
+        "details": {
+          "confidence_interval": 0.0347505193336969
+        }
+      }
+    },
+    {
+      "evaluation_name": "Burmese",
+      "source_data": {
+        "dataset_name": "global-mmlu-lite",
+        "source_type": "url",
+        "url": [
+          "https://www.kaggle.com/datasets/cohere-labs/global-mmlu-lite"
+        ]
+      },
+      "metric_config": {
+        "evaluation_description": "Global MMLU Lite - Burmese",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.9075,
+        "details": {
+          "confidence_interval": 0.0283930651251164
+        }
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hellaswag/eleutherai/pythia-1b-v0/a796664d-51fa-49b0-ae93-b446171f5521.json b/data/hellaswag/eleutherai/pythia-1b-v0/a796664d-51fa-49b0-ae93-b446171f5521.json
deleted file mode 100644
index 3f264f0c6..000000000
--- a/data/hellaswag/eleutherai/pythia-1b-v0/a796664d-51fa-49b0-ae93-b446171f5521.json
+++ /dev/null
@@ -1,1343 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "helm/eleutherai/pythia-1b-v0/hellaswag/1751729998",
-  "retrieved_timestamp": "1751729998",
-  "source_data": {
-    "dataset_name": "hellaswag",
-    "samples_number": 10,
-    "sample_ids": [
-      "id44874",
-      "id47299",
-      "id45277",
-      "id41992",
-      "id49438",
-      "id42841",
-      "id46128",
-      "id47975",
-      "id41468",
-      "id44284"
-    ],
-    "additional_details": {
-      "scenario_name": "helm.benchmark.scenarios.commonsense_scenario.HellaSwagScenario",
-      "scenario_args": {}
-    }
-  },
-  "source_metadata": {
-    "source_name": "helm",
-    "source_type": "evaluation_run",
-    "source_organization_name": "Unknown",
-    "evaluator_relationship": "other"
-  },
-  "model_info": {
-    "name": "eleutherai/pythia-1b-v0",
-    "id": "eleutherai/pythia-1b-v0",
-    "developer": "eleutherai",
-    "inference_platform": "huggingface"
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "multiple_choice_joint",
-      "evaluation_timestamp": "1751729998",
-      "metric_config": {
-        "evaluation_description": "exact_match",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0
-      },
-      "score_details": {
-        "score": 0.3,
-        "details": {
-          "count": 1,
-          "sum": 0.3,
-          "sum_squared": 0.09,
-          "min": 0.3,
-          "max": 0.3,
-          "mean": 0.3,
-          "variance": 0.0,
-          "stddev": 0.0,
-          "split": "valid",
-          "perturbation": null
-        }
-      },
-      "generation_config": {
-        "temperature": 0.0,
-        "max_tokens": 1,
-        "stop_sequences": [
-          "\n"
-        ],
-        "instructions": "The following are multiple choice questions (with answers) about common sense.\n",
-        "input_prefix": "Question: ",
-        "input_suffix": "\n",
-        "output_prefix": "Answer: ",
-        "output_suffix": "\n",
-        "instance_prefix": "\n"
-      }
-    },
-    {
-      "evaluation_name": "multiple_choice_joint",
-      "evaluation_timestamp": "1751729998",
-      "metric_config": {
-        "evaluation_description": "exact_match",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0
-      },
-      "score_details": {
-        "score": 0.3,
-        "details": {
-          "count": 1,
-          "sum": 0.3,
-          "sum_squared": 0.09,
-          "min": 0.3,
-          "max": 0.3,
-          "mean": 0.3,
-          "variance": 0.0,
-          "stddev": 0.0,
-          "split": "valid",
-          "perturbation": null
-        }
-      },
-      "generation_config": {
-        "temperature": 0.0,
-        "max_tokens": 1,
-        "stop_sequences": [
-          "\n"
-        ],
-        "instructions": "The following are multiple choice questions (with answers) about common sense.\n",
-        "input_prefix": "Question: ",
-        "input_suffix": "\n",
-        "output_prefix": "Answer: ",
-        "output_suffix": "\n",
-        "instance_prefix": "\n"
-      }
-    },
-    {
-      "evaluation_name": "multiple_choice_joint",
-      "evaluation_timestamp": "1751729998",
-      "metric_config": {
-        "evaluation_description": "exact_match",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0
-      },
-      "score_details": {
-        "score": 0.3,
-        "details": {
-          "count": 1,
-          "sum": 0.3,
-          "sum_squared": 0.09,
-          "min": 0.3,
-          "max": 0.3,
-          "mean": 0.3,
-          "variance": 0.0,
-          "stddev": 0.0,
-          "split": "valid",
-          "perturbation": {
-            "name": "robustness",
-            "robustness": true,
-            "fairness": false,
-            "computed_on": "worst",
-            "seed": null
-          }
-        }
-      },
-      "generation_config": {
-        "temperature": 0.0,
-        "max_tokens": 1,
-        "stop_sequences": [
-          "\n"
-        ],
-        "instructions": "The following are multiple choice questions (with answers) about common sense.\n",
-        "input_prefix": "Question: ",
-        "input_suffix": "\n",
-        "output_prefix": "Answer: ",
-        "output_suffix": "\n",
-        "instance_prefix": "\n"
-      }
-    },
-    {
-      "evaluation_name": "multiple_choice_joint",
-      "evaluation_timestamp": "1751729998",
-      "metric_config": {
-        "evaluation_description": "exact_match",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0
-      },
-      "score_details": {
-        "score": 0.3,
-        "details": {
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-          "sum": 0.3,
-          "sum_squared": 0.09,
-          "min": 0.3,
-          "max": 0.3,
-          "mean": 0.3,
-          "variance": 0.0,
-          "stddev": 0.0,
-          "split": "valid",
-          "perturbation": {
-            "name": "fairness",
-            "robustness": false,
-            "fairness": true,
-            "computed_on": "worst",
-            "seed": null
-          }
-        }
-      },
-      "generation_config": {
-        "temperature": 0.0,
-        "max_tokens": 1,
-        "stop_sequences": [
-          "\n"
-        ],
-        "instructions": "The following are multiple choice questions (with answers) about common sense.\n",
-        "input_prefix": "Question: ",
-        "input_suffix": "\n",
-        "output_prefix": "Answer: ",
-        "output_suffix": "\n",
-        "instance_prefix": "\n"
-      }
-    },
-    {
-      "evaluation_name": "multiple_choice_joint",
-      "evaluation_timestamp": "1751729998",
-      "metric_config": {
-        "evaluation_description": "exact_match",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0
-      },
-      "score_details": {
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-          "sum_squared": 0.09,
-          "min": 0.3,
-          "max": 0.3,
-          "mean": 0.3,
-          "variance": 0.0,
-          "stddev": 0.0,
-          "split": "valid",
-          "perturbation": {
-            "name": "robustness",
-            "robustness": true,
-            "fairness": false,
-            "computed_on": "worst",
-            "seed": null
-          }
-        }
-      },
-      "generation_config": {
-        "temperature": 0.0,
-        "max_tokens": 1,
-        "stop_sequences": [
-          "\n"
-        ],
-        "instructions": "The following are multiple choice questions (with answers) about common sense.\n",
-        "input_prefix": "Question: ",
-        "input_suffix": "\n",
-        "output_prefix": "Answer: ",
-        "output_suffix": "\n",
-        "instance_prefix": "\n"
-      }
-    },
-    {
-      "evaluation_name": "multiple_choice_joint",
-      "evaluation_timestamp": "1751729998",
-      "metric_config": {
-        "evaluation_description": "exact_match",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0
-      },
-      "score_details": {
-        "score": 0.3,
-        "details": {
-          "count": 1,
-          "sum": 0.3,
-          "sum_squared": 0.09,
-          "min": 0.3,
-          "max": 0.3,
-          "mean": 0.3,
-          "variance": 0.0,
-          "stddev": 0.0,
-          "split": "valid",
-          "perturbation": {
-            "name": "fairness",
-            "robustness": false,
-            "fairness": true,
-            "computed_on": "worst",
-            "seed": null
-          }
-        }
-      },
-      "generation_config": {
-        "temperature": 0.0,
-        "max_tokens": 1,
-        "stop_sequences": [
-          "\n"
-        ],
-        "instructions": "The following are multiple choice questions (with answers) about common sense.\n",
-        "input_prefix": "Question: ",
-        "input_suffix": "\n",
-        "output_prefix": "Answer: ",
-        "output_suffix": "\n",
-        "instance_prefix": "\n"
-      }
-    },
-    {
-      "evaluation_name": "multiple_choice_joint",
-      "evaluation_timestamp": "1751729998",
-      "metric_config": {
-        "evaluation_description": "quasi_exact_match",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0
-      },
-      "score_details": {
-        "score": 0.3,
-        "details": {
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-          "sum_squared": 0.09,
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-          "mean": 0.3,
-          "variance": 0.0,
-          "stddev": 0.0,
-          "split": "valid",
-          "perturbation": null
-        }
-      },
-      "generation_config": {
-        "temperature": 0.0,
-        "max_tokens": 1,
-        "stop_sequences": [
-          "\n"
-        ],
-        "instructions": "The following are multiple choice questions (with answers) about common sense.\n",
-        "input_prefix": "Question: ",
-        "input_suffix": "\n",
-        "output_prefix": "Answer: ",
-        "output_suffix": "\n",
-        "instance_prefix": "\n"
-      }
-    },
-    {
-      "evaluation_name": "multiple_choice_joint",
-      "evaluation_timestamp": "1751729998",
-      "metric_config": {
-        "evaluation_description": "quasi_exact_match",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0
-      },
-      "score_details": {
-        "score": 0.3,
-        "details": {
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-          "sum_squared": 0.09,
-          "min": 0.3,
-          "max": 0.3,
-          "mean": 0.3,
-          "variance": 0.0,
-          "stddev": 0.0,
-          "split": "valid",
-          "perturbation": null
-        }
-      },
-      "generation_config": {
-        "temperature": 0.0,
-        "max_tokens": 1,
-        "stop_sequences": [
-          "\n"
-        ],
-        "instructions": "The following are multiple choice questions (with answers) about common sense.\n",
-        "input_prefix": "Question: ",
-        "input_suffix": "\n",
-        "output_prefix": "Answer: ",
-        "output_suffix": "\n",
-        "instance_prefix": "\n"
-      }
-    },
-    {
-      "evaluation_name": "multiple_choice_joint",
-      "evaluation_timestamp": "1751729998",
-      "metric_config": {
-        "evaluation_description": "quasi_exact_match",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0
-      },
-      "score_details": {
-        "score": 0.3,
-        "details": {
-          "count": 1,
-          "sum": 0.3,
-          "sum_squared": 0.09,
-          "min": 0.3,
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-          "mean": 0.3,
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-          "stddev": 0.0,
-          "split": "valid",
-          "perturbation": {
-            "name": "robustness",
-            "robustness": true,
-            "fairness": false,
-            "computed_on": "worst",
-            "seed": null
-          }
-        }
-      },
-      "generation_config": {
-        "temperature": 0.0,
-        "max_tokens": 1,
-        "stop_sequences": [
-          "\n"
-        ],
-        "instructions": "The following are multiple choice questions (with answers) about common sense.\n",
-        "input_prefix": "Question: ",
-        "input_suffix": "\n",
-        "output_prefix": "Answer: ",
-        "output_suffix": "\n",
-        "instance_prefix": "\n"
-      }
-    },
-    {
-      "evaluation_name": "multiple_choice_joint",
-      "evaluation_timestamp": "1751729998",
-      "metric_config": {
-        "evaluation_description": "quasi_exact_match",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0
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-        "score": 0.3,
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-          "split": "valid",
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-            "robustness": false,
-            "fairness": true,
-            "computed_on": "worst",
-            "seed": null
-          }
-        }
-      },
-      "generation_config": {
-        "temperature": 0.0,
-        "max_tokens": 1,
-        "stop_sequences": [
-          "\n"
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-        "instructions": "The following are multiple choice questions (with answers) about common sense.\n",
-        "input_prefix": "Question: ",
-        "input_suffix": "\n",
-        "output_prefix": "Answer: ",
-        "output_suffix": "\n",
-        "instance_prefix": "\n"
-      }
-    },
-    {
-      "evaluation_name": "multiple_choice_joint",
-      "evaluation_timestamp": "1751729998",
-      "metric_config": {
-        "evaluation_description": "quasi_exact_match",
-        "lower_is_better": false,
-        "score_type": "continuous",
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-          "sum": 0.3,
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-          "min": 0.3,
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-          "mean": 0.3,
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-          "split": "valid",
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-            "name": "robustness",
-            "robustness": true,
-            "fairness": false,
-            "computed_on": "worst",
-            "seed": null
-          }
-        }
-      },
-      "generation_config": {
-        "temperature": 0.0,
-        "max_tokens": 1,
-        "stop_sequences": [
-          "\n"
-        ],
-        "instructions": "The following are multiple choice questions (with answers) about common sense.\n",
-        "input_prefix": "Question: ",
-        "input_suffix": "\n",
-        "output_prefix": "Answer: ",
-        "output_suffix": "\n",
-        "instance_prefix": "\n"
-      }
-    },
-    {
-      "evaluation_name": "multiple_choice_joint",
-      "evaluation_timestamp": "1751729998",
-      "metric_config": {
-        "evaluation_description": "quasi_exact_match",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0
-      },
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-        "details": {
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-          "sum": 0.3,
-          "sum_squared": 0.09,
-          "min": 0.3,
-          "max": 0.3,
-          "mean": 0.3,
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-          "stddev": 0.0,
-          "split": "valid",
-          "perturbation": {
-            "name": "fairness",
-            "robustness": false,
-            "fairness": true,
-            "computed_on": "worst",
-            "seed": null
-          }
-        }
-      },
-      "generation_config": {
-        "temperature": 0.0,
-        "max_tokens": 1,
-        "stop_sequences": [
-          "\n"
-        ],
-        "instructions": "The following are multiple choice questions (with answers) about common sense.\n",
-        "input_prefix": "Question: ",
-        "input_suffix": "\n",
-        "output_prefix": "Answer: ",
-        "output_suffix": "\n",
-        "instance_prefix": "\n"
-      }
-    },
-    {
-      "evaluation_name": "multiple_choice_joint",
-      "evaluation_timestamp": "1751729998",
-      "metric_config": {
-        "evaluation_description": "prefix_exact_match",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0
-      },
-      "score_details": {
-        "score": 0.3,
-        "details": {
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-          "sum_squared": 0.09,
-          "min": 0.3,
-          "max": 0.3,
-          "mean": 0.3,
-          "variance": 0.0,
-          "stddev": 0.0,
-          "split": "valid",
-          "perturbation": null
-        }
-      },
-      "generation_config": {
-        "temperature": 0.0,
-        "max_tokens": 1,
-        "stop_sequences": [
-          "\n"
-        ],
-        "instructions": "The following are multiple choice questions (with answers) about common sense.\n",
-        "input_prefix": "Question: ",
-        "input_suffix": "\n",
-        "output_prefix": "Answer: ",
-        "output_suffix": "\n",
-        "instance_prefix": "\n"
-      }
-    },
-    {
-      "evaluation_name": "multiple_choice_joint",
-      "evaluation_timestamp": "1751729998",
-      "metric_config": {
-        "evaluation_description": "prefix_exact_match",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
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-      "score_details": {
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-          "split": "valid",
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-      },
-      "generation_config": {
-        "temperature": 0.0,
-        "max_tokens": 1,
-        "stop_sequences": [
-          "\n"
-        ],
-        "instructions": "The following are multiple choice questions (with answers) about common sense.\n",
-        "input_prefix": "Question: ",
-        "input_suffix": "\n",
-        "output_prefix": "Answer: ",
-        "output_suffix": "\n",
-        "instance_prefix": "\n"
-      }
-    },
-    {
-      "evaluation_name": "multiple_choice_joint",
-      "evaluation_timestamp": "1751729998",
-      "metric_config": {
-        "evaluation_description": "prefix_exact_match",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0
-      },
-      "score_details": {
-        "score": 0.3,
-        "details": {
-          "count": 1,
-          "sum": 0.3,
-          "sum_squared": 0.09,
-          "min": 0.3,
-          "max": 0.3,
-          "mean": 0.3,
-          "variance": 0.0,
-          "stddev": 0.0,
-          "split": "valid",
-          "perturbation": {
-            "name": "robustness",
-            "robustness": true,
-            "fairness": false,
-            "computed_on": "worst",
-            "seed": null
-          }
-        }
-      },
-      "generation_config": {
-        "temperature": 0.0,
-        "max_tokens": 1,
-        "stop_sequences": [
-          "\n"
-        ],
-        "instructions": "The following are multiple choice questions (with answers) about common sense.\n",
-        "input_prefix": "Question: ",
-        "input_suffix": "\n",
-        "output_prefix": "Answer: ",
-        "output_suffix": "\n",
-        "instance_prefix": "\n"
-      }
-    },
-    {
-      "evaluation_name": "multiple_choice_joint",
-      "evaluation_timestamp": "1751729998",
-      "metric_config": {
-        "evaluation_description": "prefix_exact_match",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0
-      },
-      "score_details": {
-        "score": 0.3,
-        "details": {
-          "count": 1,
-          "sum": 0.3,
-          "sum_squared": 0.09,
-          "min": 0.3,
-          "max": 0.3,
-          "mean": 0.3,
-          "variance": 0.0,
-          "stddev": 0.0,
-          "split": "valid",
-          "perturbation": {
-            "name": "fairness",
-            "robustness": false,
-            "fairness": true,
-            "computed_on": "worst",
-            "seed": null
-          }
-        }
-      },
-      "generation_config": {
-        "temperature": 0.0,
-        "max_tokens": 1,
-        "stop_sequences": [
-          "\n"
-        ],
-        "instructions": "The following are multiple choice questions (with answers) about common sense.\n",
-        "input_prefix": "Question: ",
-        "input_suffix": "\n",
-        "output_prefix": "Answer: ",
-        "output_suffix": "\n",
-        "instance_prefix": "\n"
-      }
-    },
-    {
-      "evaluation_name": "multiple_choice_joint",
-      "evaluation_timestamp": "1751729998",
-      "metric_config": {
-        "evaluation_description": "prefix_exact_match",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0
-      },
-      "score_details": {
-        "score": 0.3,
-        "details": {
-          "count": 1,
-          "sum": 0.3,
-          "sum_squared": 0.09,
-          "min": 0.3,
-          "max": 0.3,
-          "mean": 0.3,
-          "variance": 0.0,
-          "stddev": 0.0,
-          "split": "valid",
-          "perturbation": {
-            "name": "robustness",
-            "robustness": true,
-            "fairness": false,
-            "computed_on": "worst",
-            "seed": null
-          }
-        }
-      },
-      "generation_config": {
-        "temperature": 0.0,
-        "max_tokens": 1,
-        "stop_sequences": [
-          "\n"
-        ],
-        "instructions": "The following are multiple choice questions (with answers) about common sense.\n",
-        "input_prefix": "Question: ",
-        "input_suffix": "\n",
-        "output_prefix": "Answer: ",
-        "output_suffix": "\n",
-        "instance_prefix": "\n"
-      }
-    },
-    {
-      "evaluation_name": "multiple_choice_joint",
-      "evaluation_timestamp": "1751729998",
-      "metric_config": {
-        "evaluation_description": "prefix_exact_match",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0
-      },
-      "score_details": {
-        "score": 0.3,
-        "details": {
-          "count": 1,
-          "sum": 0.3,
-          "sum_squared": 0.09,
-          "min": 0.3,
-          "max": 0.3,
-          "mean": 0.3,
-          "variance": 0.0,
-          "stddev": 0.0,
-          "split": "valid",
-          "perturbation": {
-            "name": "fairness",
-            "robustness": false,
-            "fairness": true,
-            "computed_on": "worst",
-            "seed": null
-          }
-        }
-      },
-      "generation_config": {
-        "temperature": 0.0,
-        "max_tokens": 1,
-        "stop_sequences": [
-          "\n"
-        ],
-        "instructions": "The following are multiple choice questions (with answers) about common sense.\n",
-        "input_prefix": "Question: ",
-        "input_suffix": "\n",
-        "output_prefix": "Answer: ",
-        "output_suffix": "\n",
-        "instance_prefix": "\n"
-      }
-    },
-    {
-      "evaluation_name": "multiple_choice_joint",
-      "evaluation_timestamp": "1751729998",
-      "metric_config": {
-        "evaluation_description": "quasi_prefix_exact_match",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0
-      },
-      "score_details": {
-        "score": 0.3,
-        "details": {
-          "count": 1,
-          "sum": 0.3,
-          "sum_squared": 0.09,
-          "min": 0.3,
-          "max": 0.3,
-          "mean": 0.3,
-          "variance": 0.0,
-          "stddev": 0.0,
-          "split": "valid",
-          "perturbation": null
-        }
-      },
-      "generation_config": {
-        "temperature": 0.0,
-        "max_tokens": 1,
-        "stop_sequences": [
-          "\n"
-        ],
-        "instructions": "The following are multiple choice questions (with answers) about common sense.\n",
-        "input_prefix": "Question: ",
-        "input_suffix": "\n",
-        "output_prefix": "Answer: ",
-        "output_suffix": "\n",
-        "instance_prefix": "\n"
-      }
-    },
-    {
-      "evaluation_name": "multiple_choice_joint",
-      "evaluation_timestamp": "1751729998",
-      "metric_config": {
-        "evaluation_description": "quasi_prefix_exact_match",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0
-      },
-      "score_details": {
-        "score": 0.3,
-        "details": {
-          "count": 1,
-          "sum": 0.3,
-          "sum_squared": 0.09,
-          "min": 0.3,
-          "max": 0.3,
-          "mean": 0.3,
-          "variance": 0.0,
-          "stddev": 0.0,
-          "split": "valid",
-          "perturbation": null
-        }
-      },
-      "generation_config": {
-        "temperature": 0.0,
-        "max_tokens": 1,
-        "stop_sequences": [
-          "\n"
-        ],
-        "instructions": "The following are multiple choice questions (with answers) about common sense.\n",
-        "input_prefix": "Question: ",
-        "input_suffix": "\n",
-        "output_prefix": "Answer: ",
-        "output_suffix": "\n",
-        "instance_prefix": "\n"
-      }
-    },
-    {
-      "evaluation_name": "multiple_choice_joint",
-      "evaluation_timestamp": "1751729998",
-      "metric_config": {
-        "evaluation_description": "quasi_prefix_exact_match",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0
-      },
-      "score_details": {
-        "score": 0.3,
-        "details": {
-          "count": 1,
-          "sum": 0.3,
-          "sum_squared": 0.09,
-          "min": 0.3,
-          "max": 0.3,
-          "mean": 0.3,
-          "variance": 0.0,
-          "stddev": 0.0,
-          "split": "valid",
-          "perturbation": {
-            "name": "robustness",
-            "robustness": true,
-            "fairness": false,
-            "computed_on": "worst",
-            "seed": null
-          }
-        }
-      },
-      "generation_config": {
-        "temperature": 0.0,
-        "max_tokens": 1,
-        "stop_sequences": [
-          "\n"
-        ],
-        "instructions": "The following are multiple choice questions (with answers) about common sense.\n",
-        "input_prefix": "Question: ",
-        "input_suffix": "\n",
-        "output_prefix": "Answer: ",
-        "output_suffix": "\n",
-        "instance_prefix": "\n"
-      }
-    },
-    {
-      "evaluation_name": "multiple_choice_joint",
-      "evaluation_timestamp": "1751729998",
-      "metric_config": {
-        "evaluation_description": "quasi_prefix_exact_match",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0
-      },
-      "score_details": {
-        "score": 0.3,
-        "details": {
-          "count": 1,
-          "sum": 0.3,
-          "sum_squared": 0.09,
-          "min": 0.3,
-          "max": 0.3,
-          "mean": 0.3,
-          "variance": 0.0,
-          "stddev": 0.0,
-          "split": "valid",
-          "perturbation": {
-            "name": "fairness",
-            "robustness": false,
-            "fairness": true,
-            "computed_on": "worst",
-            "seed": null
-          }
-        }
-      },
-      "generation_config": {
-        "temperature": 0.0,
-        "max_tokens": 1,
-        "stop_sequences": [
-          "\n"
-        ],
-        "instructions": "The following are multiple choice questions (with answers) about common sense.\n",
-        "input_prefix": "Question: ",
-        "input_suffix": "\n",
-        "output_prefix": "Answer: ",
-        "output_suffix": "\n",
-        "instance_prefix": "\n"
-      }
-    },
-    {
-      "evaluation_name": "multiple_choice_joint",
-      "evaluation_timestamp": "1751729998",
-      "metric_config": {
-        "evaluation_description": "quasi_prefix_exact_match",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0
-      },
-      "score_details": {
-        "score": 0.3,
-        "details": {
-          "count": 1,
-          "sum": 0.3,
-          "sum_squared": 0.09,
-          "min": 0.3,
-          "max": 0.3,
-          "mean": 0.3,
-          "variance": 0.0,
-          "stddev": 0.0,
-          "split": "valid",
-          "perturbation": {
-            "name": "robustness",
-            "robustness": true,
-            "fairness": false,
-            "computed_on": "worst",
-            "seed": null
-          }
-        }
-      },
-      "generation_config": {
-        "temperature": 0.0,
-        "max_tokens": 1,
-        "stop_sequences": [
-          "\n"
-        ],
-        "instructions": "The following are multiple choice questions (with answers) about common sense.\n",
-        "input_prefix": "Question: ",
-        "input_suffix": "\n",
-        "output_prefix": "Answer: ",
-        "output_suffix": "\n",
-        "instance_prefix": "\n"
-      }
-    },
-    {
-      "evaluation_name": "multiple_choice_joint",
-      "evaluation_timestamp": "1751729998",
-      "metric_config": {
-        "evaluation_description": "quasi_prefix_exact_match",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0
-      },
-      "score_details": {
-        "score": 0.3,
-        "details": {
-          "count": 1,
-          "sum": 0.3,
-          "sum_squared": 0.09,
-          "min": 0.3,
-          "max": 0.3,
-          "mean": 0.3,
-          "variance": 0.0,
-          "stddev": 0.0,
-          "split": "valid",
-          "perturbation": {
-            "name": "fairness",
-            "robustness": false,
-            "fairness": true,
-            "computed_on": "worst",
-            "seed": null
-          }
-        }
-      },
-      "generation_config": {
-        "temperature": 0.0,
-        "max_tokens": 1,
-        "stop_sequences": [
-          "\n"
-        ],
-        "instructions": "The following are multiple choice questions (with answers) about common sense.\n",
-        "input_prefix": "Question: ",
-        "input_suffix": "\n",
-        "output_prefix": "Answer: ",
-        "output_suffix": "\n",
-        "instance_prefix": "\n"
-      }
-    }
-  ],
-  "detailed_evaluation_results_per_samples": [
-    {
-      "sample_id": "id44874",
-      "input": "Personal Care and Style: [header] How to dye your hair with semi permanent hair dye [title] Find the color you want. [step] There are many popular brands and hundreds of different colors to choose from. Semi-permanent dyes can be found in a variety of places, ranging from grocery stores to specialized fashion shops, with the biggest selection at beauty supply stores. ",
-      "prompt": "The following are multiple choice questions (with answers) about common sense.\n\nQuestion: Putting on makeup: The words how to apply mascara appear. A woman with long black hair\nA. presents a bow and ribbon, followed by painted eye shadow, and a gift wrap.\nB. appears on a black screen with white lines, soap, and information at the bottom.\nC. appears in the large window.\nD. is talking to the camera.\nAnswer: D\n\nQuestion: Polishing shoes: The man uses the polish on his shoes. The man brushes his shoes with occasional blowing. The man shines his shoes. The man\nA. replaces the frame and arm strap on the shoes.\nB. shines balls of polish onto his shoes.\nC. puts the shoes on the stand to style them.\nD. talks to the camera.\nAnswer: D\n\nQuestion: Laying tile: The floor is swept, cleaned, and prepared for the process. The men begin to lay the vinyl flooring across the floor one piece at a time. The final result\nA. is shown on the screen.\nB. of the carpet is shown.\nC. is displayed in the male success rate.\nD. is seen with one ran through the floor.\nAnswer: A\n\nQuestion: Waterskiing: A person is water skiing behind a boat. They are going back and forth behind the boat. Words\nA. are on the screen.\nB. come onto the screen at the end.\nC. appear on the screen.\nD. are shown on the screen.\nAnswer: D\n\nQuestion: Ping-pong: We see an instructional title screen. The man demonstrates hitting a ball and we see him in play hitting the ball. We\nA. see the man beating a bag over a net.\nB. see the ending title screen.\nC. see a disc fly from 2 people.\nD. see the ending title screen again.\nAnswer: B\n\nQuestion: Personal Care and Style: [header] How to dye your hair with semi permanent hair dye [title] Find the color you want. [step] There are many popular brands and hundreds of different colors to choose from. Semi-permanent dyes can be found in a variety of places, ranging from grocery stores to specialized fashion shops, with the biggest selection at beauty supply stores. \nA. It is important to select the color that represents your hair type when you register your hair color. [substeps] Traditional semi-permanent dyes will generally not be available for hair color, like blow-dryers, curling irons, and appliances.\nB. If you're not planning on dying your hair, there are other coloration measures you can take to dye your hair. [step] Photoshop hd darkers work well, but don't lack the style that can be coupled with it.\nC. Pick the color that's your favorite, matches your wardrobe best, and/or is most flattering for your eye color and skin tone. Semi-permanent dyes work on all hair colors, but show up brightest on light hair.\nD. However, you can also take your color, added color, and texture into account when deciding what to dye, and what you will use it for. [substeps] Consider adding your hair dye to your hair if you have it long or curly.\nAnswer:",
-      "ground_truth": [
-        "C"
-      ],
-      "response": "B",
-      "choices": [
-        [
-          "A",
-          "It is important to select the color that represents your hair type when you register your hair color. [substeps] Traditional semi-permanent dyes will generally not be available for hair color, like blow-dryers, curling irons, and appliances."
-        ],
-        [
-          "B",
-          "If you're not planning on dying your hair, there are other coloration measures you can take to dye your hair. [step] Photoshop hd darkers work well, but don't lack the style that can be coupled with it."
-        ],
-        [
-          "C",
-          "Pick the color that's your favorite, matches your wardrobe best, and/or is most flattering for your eye color and skin tone. Semi-permanent dyes work on all hair colors, but show up brightest on light hair."
-        ],
-        [
-          "D",
-          "However, you can also take your color, added color, and texture into account when deciding what to dye, and what you will use it for. [substeps] Consider adding your hair dye to your hair if you have it long or curly."
-        ]
-      ]
-    },
-    {
-      "sample_id": "id47299",
-      "input": "Home and Garden: [header] How to grow grape vines [title] Choose a type of grape. [step] As with any plant, certain types of grapes grow better in different areas and offer up different flavors and appearances. There are three general types of grapes: american, european, and muscadine grapes. ",
-      "prompt": "The following are multiple choice questions (with answers) about common sense.\n\nQuestion: Putting on makeup: The words how to apply mascara appear. A woman with long black hair\nA. presents a bow and ribbon, followed by painted eye shadow, and a gift wrap.\nB. appears on a black screen with white lines, soap, and information at the bottom.\nC. appears in the large window.\nD. is talking to the camera.\nAnswer: D\n\nQuestion: Polishing shoes: The man uses the polish on his shoes. The man brushes his shoes with occasional blowing. The man shines his shoes. The man\nA. replaces the frame and arm strap on the shoes.\nB. shines balls of polish onto his shoes.\nC. puts the shoes on the stand to style them.\nD. talks to the camera.\nAnswer: D\n\nQuestion: Laying tile: The floor is swept, cleaned, and prepared for the process. The men begin to lay the vinyl flooring across the floor one piece at a time. The final result\nA. is shown on the screen.\nB. of the carpet is shown.\nC. is displayed in the male success rate.\nD. is seen with one ran through the floor.\nAnswer: A\n\nQuestion: Waterskiing: A person is water skiing behind a boat. They are going back and forth behind the boat. Words\nA. are on the screen.\nB. come onto the screen at the end.\nC. appear on the screen.\nD. are shown on the screen.\nAnswer: D\n\nQuestion: Ping-pong: We see an instructional title screen. The man demonstrates hitting a ball and we see him in play hitting the ball. We\nA. see the man beating a bag over a net.\nB. see the ending title screen.\nC. see a disc fly from 2 people.\nD. see the ending title screen again.\nAnswer: B\n\nQuestion: Home and Garden: [header] How to grow grape vines [title] Choose a type of grape. [step] As with any plant, certain types of grapes grow better in different areas and offer up different flavors and appearances. There are three general types of grapes: american, european, and muscadine grapes. \nA. The' bat' variety is quite dark, with a hectic shape and a bit of texture. Popular grapes grow quickly for the same years and are often planted with white grapes and a rose color.\nB. [substeps] Traditional grape grapes are made of rich grapes and have light yellow and orange coloring. If the grapes are not from the wild and you are looking for a more bitter flavor, look for grapes grown in known regions that are not based on the wild grape.\nC. [substeps] American grapes are naturally sweet and plump, with skins that are slightly crisped. European grapes grow best in warm, dry conditions with ripened fruits on a stalk.\nD. American grapes grow best in warm, sunny climates like that of central california. European grapes are common in europe and northern parts of the us, and muscadine grapes are commonly found in the southern us.\nAnswer:",
-      "ground_truth": [
-        "D"
-      ],
-      "response": "B",
-      "choices": [
-        [
-          "A",
-          "The' bat' variety is quite dark, with a hectic shape and a bit of texture. Popular grapes grow quickly for the same years and are often planted with white grapes and a rose color."
-        ],
-        [
-          "B",
-          "[substeps] Traditional grape grapes are made of rich grapes and have light yellow and orange coloring. If the grapes are not from the wild and you are looking for a more bitter flavor, look for grapes grown in known regions that are not based on the wild grape."
-        ],
-        [
-          "C",
-          "[substeps] American grapes are naturally sweet and plump, with skins that are slightly crisped. European grapes grow best in warm, dry conditions with ripened fruits on a stalk."
-        ],
-        [
-          "D",
-          "American grapes grow best in warm, sunny climates like that of central california. European grapes are common in europe and northern parts of the us, and muscadine grapes are commonly found in the southern us."
-        ]
-      ]
-    },
-    {
-      "sample_id": "id45277",
-      "input": "Personal Care and Style: [header] How to do edwardian hairstyles [title] Backcomb or tease your hair to create volume. [step] Scrunch some volumizing powder or mousse into your roots, then grab a teasing brush or boar bristle flat brush. Starting at your hairline, take a section of hair about the size of your brush and hold the ends up in the air. ",
-      "prompt": "The following are multiple choice questions (with answers) about common sense.\n\nQuestion: Putting on makeup: The words how to apply mascara appear. A woman with long black hair\nA. presents a bow and ribbon, followed by painted eye shadow, and a gift wrap.\nB. appears on a black screen with white lines, soap, and information at the bottom.\nC. appears in the large window.\nD. is talking to the camera.\nAnswer: D\n\nQuestion: Polishing shoes: The man uses the polish on his shoes. The man brushes his shoes with occasional blowing. The man shines his shoes. The man\nA. replaces the frame and arm strap on the shoes.\nB. shines balls of polish onto his shoes.\nC. puts the shoes on the stand to style them.\nD. talks to the camera.\nAnswer: D\n\nQuestion: Laying tile: The floor is swept, cleaned, and prepared for the process. The men begin to lay the vinyl flooring across the floor one piece at a time. The final result\nA. is shown on the screen.\nB. of the carpet is shown.\nC. is displayed in the male success rate.\nD. is seen with one ran through the floor.\nAnswer: A\n\nQuestion: Waterskiing: A person is water skiing behind a boat. They are going back and forth behind the boat. Words\nA. are on the screen.\nB. come onto the screen at the end.\nC. appear on the screen.\nD. are shown on the screen.\nAnswer: D\n\nQuestion: Ping-pong: We see an instructional title screen. The man demonstrates hitting a ball and we see him in play hitting the ball. We\nA. see the man beating a bag over a net.\nB. see the ending title screen.\nC. see a disc fly from 2 people.\nD. see the ending title screen again.\nAnswer: B\n\nQuestion: Personal Care and Style: [header] How to do edwardian hairstyles [title] Backcomb or tease your hair to create volume. [step] Scrunch some volumizing powder or mousse into your roots, then grab a teasing brush or boar bristle flat brush. Starting at your hairline, take a section of hair about the size of your brush and hold the ends up in the air. \nA. Gently pull the ends up towards the roots. [title] Flatten your hairstyle to create natural streaks, and then repeat the process for extra volume.\nB. Lightly brush the hair back towards the root for 2-3 strokes. Work towards the back of your hair, repeating the process until all of your hair is teased.\nC. Sweep the styling iron from your ear (teasing the ends slightly in the direction toward your root) to create a teasing mist. Move around so the entire section is teased.\nD. Pin the sections above or below your roots so your hair lays flat. Lift a section of hair up and pull it down.\nAnswer:",
-      "ground_truth": [
-        "B"
-      ],
-      "response": "B",
-      "choices": [
-        [
-          "A",
-          "Gently pull the ends up towards the roots. [title] Flatten your hairstyle to create natural streaks, and then repeat the process for extra volume."
-        ],
-        [
-          "B",
-          "Lightly brush the hair back towards the root for 2-3 strokes. Work towards the back of your hair, repeating the process until all of your hair is teased."
-        ],
-        [
-          "C",
-          "Sweep the styling iron from your ear (teasing the ends slightly in the direction toward your root) to create a teasing mist. Move around so the entire section is teased."
-        ],
-        [
-          "D",
-          "Pin the sections above or below your roots so your hair lays flat. Lift a section of hair up and pull it down."
-        ]
-      ]
-    },
-    {
-      "sample_id": "id41992",
-      "input": "Having an ice cream: A young child is seen holding an ice cream cone and speaking to the camera while smiling. She",
-      "prompt": "The following are multiple choice questions (with answers) about common sense.\n\nQuestion: Putting on makeup: The words how to apply mascara appear. A woman with long black hair\nA. presents a bow and ribbon, followed by painted eye shadow, and a gift wrap.\nB. appears on a black screen with white lines, soap, and information at the bottom.\nC. appears in the large window.\nD. is talking to the camera.\nAnswer: D\n\nQuestion: Polishing shoes: The man uses the polish on his shoes. The man brushes his shoes with occasional blowing. The man shines his shoes. The man\nA. replaces the frame and arm strap on the shoes.\nB. shines balls of polish onto his shoes.\nC. puts the shoes on the stand to style them.\nD. talks to the camera.\nAnswer: D\n\nQuestion: Laying tile: The floor is swept, cleaned, and prepared for the process. The men begin to lay the vinyl flooring across the floor one piece at a time. The final result\nA. is shown on the screen.\nB. of the carpet is shown.\nC. is displayed in the male success rate.\nD. is seen with one ran through the floor.\nAnswer: A\n\nQuestion: Waterskiing: A person is water skiing behind a boat. They are going back and forth behind the boat. Words\nA. are on the screen.\nB. come onto the screen at the end.\nC. appear on the screen.\nD. are shown on the screen.\nAnswer: D\n\nQuestion: Ping-pong: We see an instructional title screen. The man demonstrates hitting a ball and we see him in play hitting the ball. We\nA. see the man beating a bag over a net.\nB. see the ending title screen.\nC. see a disc fly from 2 people.\nD. see the ending title screen again.\nAnswer: B\n\nQuestion: Having an ice cream: A young child is seen holding an ice cream cone and speaking to the camera while smiling. She\nA. continues speaking while using her mouth and pointing to the camera.\nB. continues speaking more and picking up ice cream and taking a chunk.\nC. licks the ice cream cone and continues eating around her toy.\nD. speaks to the camera man holding a doll in the other hand, then sits down on the ground.\nAnswer:",
-      "ground_truth": [
-        "D"
-      ],
-      "response": "D",
-      "choices": [
-        [
-          "A",
-          "continues speaking while using her mouth and pointing to the camera."
-        ],
-        [
-          "B",
-          "continues speaking more and picking up ice cream and taking a chunk."
-        ],
-        [
-          "C",
-          "licks the ice cream cone and continues eating around her toy."
-        ],
-        [
-          "D",
-          "speaks to the camera man holding a doll in the other hand, then sits down on the ground."
-        ]
-      ]
-    },
-    {
-      "sample_id": "id49438",
-      "input": "Personal Care and Style: [header] How to use a credit card system [title] Open a merchant account. [step] A merchant account is a bank account, but it is different from a business checking account. A merchant account communicates with your customers' credit card issuers. ",
-      "prompt": "The following are multiple choice questions (with answers) about common sense.\n\nQuestion: Putting on makeup: The words how to apply mascara appear. A woman with long black hair\nA. presents a bow and ribbon, followed by painted eye shadow, and a gift wrap.\nB. appears on a black screen with white lines, soap, and information at the bottom.\nC. appears in the large window.\nD. is talking to the camera.\nAnswer: D\n\nQuestion: Polishing shoes: The man uses the polish on his shoes. The man brushes his shoes with occasional blowing. The man shines his shoes. The man\nA. replaces the frame and arm strap on the shoes.\nB. shines balls of polish onto his shoes.\nC. puts the shoes on the stand to style them.\nD. talks to the camera.\nAnswer: D\n\nQuestion: Laying tile: The floor is swept, cleaned, and prepared for the process. The men begin to lay the vinyl flooring across the floor one piece at a time. The final result\nA. is shown on the screen.\nB. of the carpet is shown.\nC. is displayed in the male success rate.\nD. is seen with one ran through the floor.\nAnswer: A\n\nQuestion: Waterskiing: A person is water skiing behind a boat. They are going back and forth behind the boat. Words\nA. are on the screen.\nB. come onto the screen at the end.\nC. appear on the screen.\nD. are shown on the screen.\nAnswer: D\n\nQuestion: Ping-pong: We see an instructional title screen. The man demonstrates hitting a ball and we see him in play hitting the ball. We\nA. see the man beating a bag over a net.\nB. see the ending title screen.\nC. see a disc fly from 2 people.\nD. see the ending title screen again.\nAnswer: B\n\nQuestion: Personal Care and Style: [header] How to use a credit card system [title] Open a merchant account. [step] A merchant account is a bank account, but it is different from a business checking account. A merchant account communicates with your customers' credit card issuers. \nA. You fill out credits and other credit forms into your merchant account. You can do any transactions you'd like on a merchant account.\nB. It takes the customer's credit card information and verifies and approves the sale. Your merchant account communicates with the card issuer to authenticate the user, confirming that the card is not stolen and that the customer has enough of a balance to pay for the sale.\nC. Credit cards handle the transactions linked to your account. [title] Determine your business's credit score.\nD. Credit card companies offer a variety of services : [substeps] Subscription. Credit card issuers charge a fee for a card and fill out forms to use.\nAnswer:",
-      "ground_truth": [
-        "B"
-      ],
-      "response": "D",
-      "choices": [
-        [
-          "A",
-          "You fill out credits and other credit forms into your merchant account. You can do any transactions you'd like on a merchant account."
-        ],
-        [
-          "B",
-          "It takes the customer's credit card information and verifies and approves the sale. Your merchant account communicates with the card issuer to authenticate the user, confirming that the card is not stolen and that the customer has enough of a balance to pay for the sale."
-        ],
-        [
-          "C",
-          "Credit cards handle the transactions linked to your account. [title] Determine your business's credit score."
-        ],
-        [
-          "D",
-          "Credit card companies offer a variety of services : [substeps] Subscription. Credit card issuers charge a fee for a card and fill out forms to use."
-        ]
-      ]
-    },
-    {
-      "sample_id": "id42841",
-      "input": "Playing accordion: The fingers are pressing the black keys. One finger is pressing one key. The fingers",
-      "prompt": "The following are multiple choice questions (with answers) about common sense.\n\nQuestion: Putting on makeup: The words how to apply mascara appear. A woman with long black hair\nA. presents a bow and ribbon, followed by painted eye shadow, and a gift wrap.\nB. appears on a black screen with white lines, soap, and information at the bottom.\nC. appears in the large window.\nD. is talking to the camera.\nAnswer: D\n\nQuestion: Polishing shoes: The man uses the polish on his shoes. The man brushes his shoes with occasional blowing. The man shines his shoes. The man\nA. replaces the frame and arm strap on the shoes.\nB. shines balls of polish onto his shoes.\nC. puts the shoes on the stand to style them.\nD. talks to the camera.\nAnswer: D\n\nQuestion: Laying tile: The floor is swept, cleaned, and prepared for the process. The men begin to lay the vinyl flooring across the floor one piece at a time. The final result\nA. is shown on the screen.\nB. of the carpet is shown.\nC. is displayed in the male success rate.\nD. is seen with one ran through the floor.\nAnswer: A\n\nQuestion: Waterskiing: A person is water skiing behind a boat. They are going back and forth behind the boat. Words\nA. are on the screen.\nB. come onto the screen at the end.\nC. appear on the screen.\nD. are shown on the screen.\nAnswer: D\n\nQuestion: Ping-pong: We see an instructional title screen. The man demonstrates hitting a ball and we see him in play hitting the ball. We\nA. see the man beating a bag over a net.\nB. see the ending title screen.\nC. see a disc fly from 2 people.\nD. see the ending title screen again.\nAnswer: B\n\nQuestion: Playing accordion: The fingers are pressing the black keys. One finger is pressing one key. The fingers\nA. are moving to different keys and pressing them.\nB. are pumping the hand.\nC. stopped playing and stop at the bottom.\nD. flay the black keys in the middle of the keyboard.\nAnswer:",
-      "ground_truth": [
-        "A"
-      ],
-      "response": "D",
-      "choices": [
-        [
-          "A",
-          "are moving to different keys and pressing them."
-        ],
-        [
-          "B",
-          "are pumping the hand."
-        ],
-        [
-          "C",
-          "stopped playing and stop at the bottom."
-        ],
-        [
-          "D",
-          "flay the black keys in the middle of the keyboard."
-        ]
-      ]
-    },
-    {
-      "sample_id": "id46128",
-      "input": "Personal Care and Style: [header] How to wear a denim dress [title] Consider the wash of the dress. [step] Denim comes in a variety of colors, but most denim dresses are usually some shade of blue. However, you still have options when it comes to the depth of the blue. ",
-      "prompt": "The following are multiple choice questions (with answers) about common sense.\n\nQuestion: Putting on makeup: The words how to apply mascara appear. A woman with long black hair\nA. presents a bow and ribbon, followed by painted eye shadow, and a gift wrap.\nB. appears on a black screen with white lines, soap, and information at the bottom.\nC. appears in the large window.\nD. is talking to the camera.\nAnswer: D\n\nQuestion: Polishing shoes: The man uses the polish on his shoes. The man brushes his shoes with occasional blowing. The man shines his shoes. The man\nA. replaces the frame and arm strap on the shoes.\nB. shines balls of polish onto his shoes.\nC. puts the shoes on the stand to style them.\nD. talks to the camera.\nAnswer: D\n\nQuestion: Laying tile: The floor is swept, cleaned, and prepared for the process. The men begin to lay the vinyl flooring across the floor one piece at a time. The final result\nA. is shown on the screen.\nB. of the carpet is shown.\nC. is displayed in the male success rate.\nD. is seen with one ran through the floor.\nAnswer: A\n\nQuestion: Waterskiing: A person is water skiing behind a boat. They are going back and forth behind the boat. Words\nA. are on the screen.\nB. come onto the screen at the end.\nC. appear on the screen.\nD. are shown on the screen.\nAnswer: D\n\nQuestion: Ping-pong: We see an instructional title screen. The man demonstrates hitting a ball and we see him in play hitting the ball. We\nA. see the man beating a bag over a net.\nB. see the ending title screen.\nC. see a disc fly from 2 people.\nD. see the ending title screen again.\nAnswer: B\n\nQuestion: Personal Care and Style: [header] How to wear a denim dress [title] Consider the wash of the dress. [step] Denim comes in a variety of colors, but most denim dresses are usually some shade of blue. However, you still have options when it comes to the depth of the blue. \nA. Some denim washes work best for more polished looks, while others are ideal for a relaxed outfit. [substeps] Dark wash denim tends to have a more dressed up look, so they work well for work or an evening out.\nB. Depending on your dress's style, some of the colors will show up darker, and others won't. [substeps] In general, the darker the shade of the denim, the darker the dress.\nC. [substeps] Jeans tend to look better when washed and ironed on both sides. Likewise, jeans can also be washed and ironed on both sides of the dress, but with less work involved.\nD. [substeps] Look for dresses made of the same material or a lighter blue. Choose washes made of the same material, usually denim colors such as fuchsia, navy, and tan.\nAnswer:",
-      "ground_truth": [
-        "A"
-      ],
-      "response": "B",
-      "choices": [
-        [
-          "A",
-          "Some denim washes work best for more polished looks, while others are ideal for a relaxed outfit. [substeps] Dark wash denim tends to have a more dressed up look, so they work well for work or an evening out."
-        ],
-        [
-          "B",
-          "Depending on your dress's style, some of the colors will show up darker, and others won't. [substeps] In general, the darker the shade of the denim, the darker the dress."
-        ],
-        [
-          "C",
-          "[substeps] Jeans tend to look better when washed and ironed on both sides. Likewise, jeans can also be washed and ironed on both sides of the dress, but with less work involved."
-        ],
-        [
-          "D",
-          "[substeps] Look for dresses made of the same material or a lighter blue. Choose washes made of the same material, usually denim colors such as fuchsia, navy, and tan."
-        ]
-      ]
-    },
-    {
-      "sample_id": "id47975",
-      "input": "Family Life: [header] How to adopt a russian baby [title] Fill out form i-600a, application for advance processing of orphan petition. [step] This form is available through the u.s. citizenship and immigration services, and it is the necessary first step in obtaining an immigrant visa for your adoptive child. You do not need to have a specific child in mind to complete this form. ",
-      "prompt": "The following are multiple choice questions (with answers) about common sense.\n\nQuestion: Putting on makeup: The words how to apply mascara appear. A woman with long black hair\nA. presents a bow and ribbon, followed by painted eye shadow, and a gift wrap.\nB. appears on a black screen with white lines, soap, and information at the bottom.\nC. appears in the large window.\nD. is talking to the camera.\nAnswer: D\n\nQuestion: Polishing shoes: The man uses the polish on his shoes. The man brushes his shoes with occasional blowing. The man shines his shoes. The man\nA. replaces the frame and arm strap on the shoes.\nB. shines balls of polish onto his shoes.\nC. puts the shoes on the stand to style them.\nD. talks to the camera.\nAnswer: D\n\nQuestion: Laying tile: The floor is swept, cleaned, and prepared for the process. The men begin to lay the vinyl flooring across the floor one piece at a time. The final result\nA. is shown on the screen.\nB. of the carpet is shown.\nC. is displayed in the male success rate.\nD. is seen with one ran through the floor.\nAnswer: A\n\nQuestion: Waterskiing: A person is water skiing behind a boat. They are going back and forth behind the boat. Words\nA. are on the screen.\nB. come onto the screen at the end.\nC. appear on the screen.\nD. are shown on the screen.\nAnswer: D\n\nQuestion: Ping-pong: We see an instructional title screen. The man demonstrates hitting a ball and we see him in play hitting the ball. We\nA. see the man beating a bag over a net.\nB. see the ending title screen.\nC. see a disc fly from 2 people.\nD. see the ending title screen again.\nAnswer: B\n\nQuestion: Family Life: [header] How to adopt a russian baby [title] Fill out form i-600a, application for advance processing of orphan petition. [step] This form is available through the u.s. citizenship and immigration services, and it is the necessary first step in obtaining an immigrant visa for your adoptive child. You do not need to have a specific child in mind to complete this form. \nA. [substeps] The form needs to include information about the child and the country they are from. Don't forget to include all the information that you know: \" parent, child, next of kin.\nB. [title] Contact the uscis or a state-licensed adoption agency to request a home study. [step] Home studies must be performed in order to determine the fitness of you and the home environment you intend to bring a child into.\nC. [title] Complete section ii of form ii of visa application, application for advance processing of a russian baby. [step] This form is available through the u.s.\nD. The form is brief to provide basic information about yourself and your adoptive child, as well as what you are looking for and need to bring with you. [title] Submit the completed form via the mail or by fax.\nAnswer:",
-      "ground_truth": [
-        "B"
-      ],
-      "response": "A",
-      "choices": [
-        [
-          "A",
-          "[substeps] The form needs to include information about the child and the country they are from. Don't forget to include all the information that you know: \" parent, child, next of kin."
-        ],
-        [
-          "B",
-          "[title] Contact the uscis or a state-licensed adoption agency to request a home study. [step] Home studies must be performed in order to determine the fitness of you and the home environment you intend to bring a child into."
-        ],
-        [
-          "C",
-          "[title] Complete section ii of form ii of visa application, application for advance processing of a russian baby. [step] This form is available through the u.s."
-        ],
-        [
-          "D",
-          "The form is brief to provide basic information about yourself and your adoptive child, as well as what you are looking for and need to bring with you. [title] Submit the completed form via the mail or by fax."
-        ]
-      ]
-    },
-    {
-      "sample_id": "id41468",
-      "input": "Running a marathon: There are pictures of male participants shown dominating the scene where she was the only female participant. She talks about her experience as she shows more pictures of her participation against all odds. She",
-      "prompt": "The following are multiple choice questions (with answers) about common sense.\n\nQuestion: Putting on makeup: The words how to apply mascara appear. A woman with long black hair\nA. presents a bow and ribbon, followed by painted eye shadow, and a gift wrap.\nB. appears on a black screen with white lines, soap, and information at the bottom.\nC. appears in the large window.\nD. is talking to the camera.\nAnswer: D\n\nQuestion: Polishing shoes: The man uses the polish on his shoes. The man brushes his shoes with occasional blowing. The man shines his shoes. The man\nA. replaces the frame and arm strap on the shoes.\nB. shines balls of polish onto his shoes.\nC. puts the shoes on the stand to style them.\nD. talks to the camera.\nAnswer: D\n\nQuestion: Laying tile: The floor is swept, cleaned, and prepared for the process. The men begin to lay the vinyl flooring across the floor one piece at a time. The final result\nA. is shown on the screen.\nB. of the carpet is shown.\nC. is displayed in the male success rate.\nD. is seen with one ran through the floor.\nAnswer: A\n\nQuestion: Waterskiing: A person is water skiing behind a boat. They are going back and forth behind the boat. Words\nA. are on the screen.\nB. come onto the screen at the end.\nC. appear on the screen.\nD. are shown on the screen.\nAnswer: D\n\nQuestion: Ping-pong: We see an instructional title screen. The man demonstrates hitting a ball and we see him in play hitting the ball. We\nA. see the man beating a bag over a net.\nB. see the ending title screen.\nC. see a disc fly from 2 people.\nD. see the ending title screen again.\nAnswer: B\n\nQuestion: Running a marathon: There are pictures of male participants shown dominating the scene where she was the only female participant. She talks about her experience as she shows more pictures of her participation against all odds. She\nA. eventually walks off the set.\nB. also shares information on how things changed later when she was finally allowed to participate freely.\nC. talks about her experience again in waking and reading.\nD. challenges her opponents with her stance and high kick, doing incredible falls on the mat in the process.\nAnswer:",
-      "ground_truth": [
-        "B"
-      ],
-      "response": "D",
-      "choices": [
-        [
-          "A",
-          "eventually walks off the set."
-        ],
-        [
-          "B",
-          "also shares information on how things changed later when she was finally allowed to participate freely."
-        ],
-        [
-          "C",
-          "talks about her experience again in waking and reading."
-        ],
-        [
-          "D",
-          "challenges her opponents with her stance and high kick, doing incredible falls on the mat in the process."
-        ]
-      ]
-    },
-    {
-      "sample_id": "id44284",
-      "input": "Personal Care and Style: [header] How to keep hair from curling with humidity [title] Lock in moisture with conditioner. [step] Dry hair, especially curly hair, needs lots of moisture. This is because curly hair tends to be on the drier end of the spectrum compared to straight hair. ",
-      "prompt": "The following are multiple choice questions (with answers) about common sense.\n\nQuestion: Putting on makeup: The words how to apply mascara appear. A woman with long black hair\nA. presents a bow and ribbon, followed by painted eye shadow, and a gift wrap.\nB. appears on a black screen with white lines, soap, and information at the bottom.\nC. appears in the large window.\nD. is talking to the camera.\nAnswer: D\n\nQuestion: Polishing shoes: The man uses the polish on his shoes. The man brushes his shoes with occasional blowing. The man shines his shoes. The man\nA. replaces the frame and arm strap on the shoes.\nB. shines balls of polish onto his shoes.\nC. puts the shoes on the stand to style them.\nD. talks to the camera.\nAnswer: D\n\nQuestion: Laying tile: The floor is swept, cleaned, and prepared for the process. The men begin to lay the vinyl flooring across the floor one piece at a time. The final result\nA. is shown on the screen.\nB. of the carpet is shown.\nC. is displayed in the male success rate.\nD. is seen with one ran through the floor.\nAnswer: A\n\nQuestion: Waterskiing: A person is water skiing behind a boat. They are going back and forth behind the boat. Words\nA. are on the screen.\nB. come onto the screen at the end.\nC. appear on the screen.\nD. are shown on the screen.\nAnswer: D\n\nQuestion: Ping-pong: We see an instructional title screen. The man demonstrates hitting a ball and we see him in play hitting the ball. We\nA. see the man beating a bag over a net.\nB. see the ending title screen.\nC. see a disc fly from 2 people.\nD. see the ending title screen again.\nAnswer: B\n\nQuestion: Personal Care and Style: [header] How to keep hair from curling with humidity [title] Lock in moisture with conditioner. [step] Dry hair, especially curly hair, needs lots of moisture. This is because curly hair tends to be on the drier end of the spectrum compared to straight hair. \nA. Instead of styling damp hair, work in conditioner to restore moisture to your hair. [substeps] In severe weather, it's a good idea to mist your hair twice a day, once in the morning and once at night.\nB. If you have curly hair or textured hair, moisturizing is the key to preventing frizz when it's humid. [substeps] Choose a shampoo and conditioner that is made for curly hair.\nC. As such, this may make your hair release moisture into the air instead of in wet curls. [substeps] Use a steam wand or mini-cooler to draw moisture from your hair, such as a hair dryer or a head dryer.\nD. Set your hair loose with a spritz of water as needed. If it tends to curl less, wipe away the excess moisture with a silk scarf.\nAnswer:",
-      "ground_truth": [
-        "B"
-      ],
-      "response": "B",
-      "choices": [
-        [
-          "A",
-          "Instead of styling damp hair, work in conditioner to restore moisture to your hair. [substeps] In severe weather, it's a good idea to mist your hair twice a day, once in the morning and once at night."
-        ],
-        [
-          "B",
-          "If you have curly hair or textured hair, moisturizing is the key to preventing frizz when it's humid. [substeps] Choose a shampoo and conditioner that is made for curly hair."
-        ],
-        [
-          "C",
-          "As such, this may make your hair release moisture into the air instead of in wet curls. [substeps] Use a steam wand or mini-cooler to draw moisture from your hair, such as a hair dryer or a head dryer."
-        ],
-        [
-          "D",
-          "Set your hair loose with a spritz of water as needed. If it tends to curl less, wipe away the excess moisture with a silk scarf."
-        ]
-      ]
-    }
-  ]
-}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/0-hero/Matter-0.2-7B-DPO/0d7928c3-c769-474e-8249-7a5c70c4c559.json b/data/hfopenllm_v2/0-hero/Matter-0.2-7B-DPO/0d7928c3-c769-474e-8249-7a5c70c4c559.json
new file mode 100644
index 000000000..f776710f3
--- /dev/null
+++ b/data/hfopenllm_v2/0-hero/Matter-0.2-7B-DPO/0d7928c3-c769-474e-8249-7a5c70c4c559.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/0-hero_Matter-0.2-7B-DPO/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Matter-0.2-7B-DPO",
+    "id": "0-hero/Matter-0.2-7B-DPO",
+    "developer": "0-hero",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3303
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3596
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0144
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2592
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3814
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1164
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/0-hero/Matter-0.2-7B-DPO/40e80d5e-db72-46b7-bd14-b7d005df4be8.json b/data/hfopenllm_v2/0-hero/Matter-0.2-7B-DPO/40e80d5e-db72-46b7-bd14-b7d005df4be8.json
deleted file mode 100644
index 402a462d4..000000000
--- a/data/hfopenllm_v2/0-hero/Matter-0.2-7B-DPO/40e80d5e-db72-46b7-bd14-b7d005df4be8.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/0-hero_Matter-0.2-7B-DPO/1762652579.4626381",
-  "retrieved_timestamp": "1762652579.462642",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "0-hero/Matter-0.2-7B-DPO",
-    "developer": "0-hero",
-    "inference_platform": "unknown",
-    "id": "0-hero/Matter-0.2-7B-DPO",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3302792147058693
-      }
-    },
-    {
-      "evaluation_name": "BBH",
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-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3596254301656297
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.014350453172205438
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.25922818791946306
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.381375
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1163563829787234
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/01-ai/Yi-1.5-34B-32K/0d91a153-1b6b-4891-8722-a5c7e372ba64.json b/data/hfopenllm_v2/01-ai/Yi-1.5-34B-32K/0d91a153-1b6b-4891-8722-a5c7e372ba64.json
deleted file mode 100644
index 3e3805028..000000000
--- a/data/hfopenllm_v2/01-ai/Yi-1.5-34B-32K/0d91a153-1b6b-4891-8722-a5c7e372ba64.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/01-ai_Yi-1.5-34B-32K/1762652579.463656",
-  "retrieved_timestamp": "1762652579.463657",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "01-ai/Yi-1.5-34B-32K",
-    "developer": "01-ai",
-    "inference_platform": "unknown",
-    "id": "01-ai/Yi-1.5-34B-32K",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 34.389
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3118691737922047
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6015685776542417
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1540785498489426
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.36325503355704697
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4398229166666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4709109042553192
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/01-ai/Yi-1.5-34B-32K/f63536ed-752b-4538-9b92-2514a617a4bf.json b/data/hfopenllm_v2/01-ai/Yi-1.5-34B-32K/f63536ed-752b-4538-9b92-2514a617a4bf.json
new file mode 100644
index 000000000..7d0d73c85
--- /dev/null
+++ b/data/hfopenllm_v2/01-ai/Yi-1.5-34B-32K/f63536ed-752b-4538-9b92-2514a617a4bf.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/01-ai_Yi-1.5-34B-32K/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Yi-1.5-34B-32K",
+    "id": "01-ai/Yi-1.5-34B-32K",
+    "developer": "01-ai",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 34.389
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3119
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6016
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1541
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3633
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4398
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4709
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/01-ai/Yi-1.5-34B-Chat-16K/2192007d-1f6e-4f74-b518-7448ef3a896e.json b/data/hfopenllm_v2/01-ai/Yi-1.5-34B-Chat-16K/2192007d-1f6e-4f74-b518-7448ef3a896e.json
deleted file mode 100644
index 104d552b4..000000000
--- a/data/hfopenllm_v2/01-ai/Yi-1.5-34B-Chat-16K/2192007d-1f6e-4f74-b518-7448ef3a896e.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/01-ai_Yi-1.5-34B-Chat-16K/1762652579.464125",
-  "retrieved_timestamp": "1762652579.4641259",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "01-ai/Yi-1.5-34B-Chat-16K",
-    "developer": "01-ai",
-    "inference_platform": "unknown",
-    "id": "01-ai/Yi-1.5-34B-Chat-16K",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 34.389
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.456449997118756
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6100218256499571
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.21374622356495468
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.33808724832214765
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.43976041666666665
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.45445478723404253
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/01-ai/Yi-1.5-34B-Chat-16K/8ff13de2-ea43-4392-992f-ba70b6023e96.json b/data/hfopenllm_v2/01-ai/Yi-1.5-34B-Chat-16K/8ff13de2-ea43-4392-992f-ba70b6023e96.json
new file mode 100644
index 000000000..8682b3811
--- /dev/null
+++ b/data/hfopenllm_v2/01-ai/Yi-1.5-34B-Chat-16K/8ff13de2-ea43-4392-992f-ba70b6023e96.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/01-ai_Yi-1.5-34B-Chat-16K/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Yi-1.5-34B-Chat-16K",
+    "id": "01-ai/Yi-1.5-34B-Chat-16K",
+    "developer": "01-ai",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 34.389
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4564
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.61
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2137
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3381
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4398
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4545
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/01-ai/Yi-1.5-34B-Chat/02bac8a7-bd09-4e73-979a-7dbaa7a8ed75.json b/data/hfopenllm_v2/01-ai/Yi-1.5-34B-Chat/02bac8a7-bd09-4e73-979a-7dbaa7a8ed75.json
new file mode 100644
index 000000000..1a02c9bdc
--- /dev/null
+++ b/data/hfopenllm_v2/01-ai/Yi-1.5-34B-Chat/02bac8a7-bd09-4e73-979a-7dbaa7a8ed75.json
@@ -0,0 +1,132 @@
+{
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+  "evaluation_id": "hfopenllm_v2/01-ai_Yi-1.5-34B-Chat/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Yi-1.5-34B-Chat",
+    "id": "01-ai/Yi-1.5-34B-Chat",
+    "developer": "01-ai",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 34.389
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6067
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6084
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2772
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3649
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4282
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.452
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/01-ai/Yi-1.5-34B-Chat/e335874b-9b3e-4966-a7e0-22e9d16f8324.json b/data/hfopenllm_v2/01-ai/Yi-1.5-34B-Chat/e335874b-9b3e-4966-a7e0-22e9d16f8324.json
deleted file mode 100644
index 4c019d7c6..000000000
--- a/data/hfopenllm_v2/01-ai/Yi-1.5-34B-Chat/e335874b-9b3e-4966-a7e0-22e9d16f8324.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "source_data": [
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
-    "name": "01-ai/Yi-1.5-34B-Chat",
-    "developer": "01-ai",
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-    "id": "01-ai/Yi-1.5-34B-Chat",
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-      "params_billions": 34.389
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-    },
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
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-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-}
diff --git a/data/hfopenllm_v2/01-ai/Yi-1.5-34B/74e4406d-b2b6-4c3f-b059-f52cccf1fff4.json b/data/hfopenllm_v2/01-ai/Yi-1.5-34B/74e4406d-b2b6-4c3f-b059-f52cccf1fff4.json
new file mode 100644
index 000000000..948057bc5
--- /dev/null
+++ b/data/hfopenllm_v2/01-ai/Yi-1.5-34B/74e4406d-b2b6-4c3f-b059-f52cccf1fff4.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/01-ai_Yi-1.5-34B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Yi-1.5-34B",
+    "id": "01-ai/Yi-1.5-34B",
+    "developer": "01-ai",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 34.389
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2841
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5976
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1533
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3658
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4236
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4666
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/01-ai/Yi-1.5-34B/8409c158-ef12-4e6c-8a1d-7be2084b3446.json b/data/hfopenllm_v2/01-ai/Yi-1.5-34B/8409c158-ef12-4e6c-8a1d-7be2084b3446.json
deleted file mode 100644
index b8a794c63..000000000
--- a/data/hfopenllm_v2/01-ai/Yi-1.5-34B/8409c158-ef12-4e6c-8a1d-7be2084b3446.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "retrieved_timestamp": "1762652579.463354",
-  "source_data": [
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-  ],
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
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-    "developer": "01-ai",
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-    "id": "01-ai/Yi-1.5-34B",
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-      "params_billions": 34.389
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-  "evaluation_results": [
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-        "lower_is_better": false,
-        "score_type": "continuous",
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-    {
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-        "score_type": "continuous",
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-        "max_score": 1
-      },
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
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-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-}
diff --git a/data/hfopenllm_v2/01-ai/Yi-1.5-6B-Chat/3452e57f-3023-4e2e-ad84-b09e409fe334.json b/data/hfopenllm_v2/01-ai/Yi-1.5-6B-Chat/3452e57f-3023-4e2e-ad84-b09e409fe334.json
deleted file mode 100644
index 7361137b1..000000000
--- a/data/hfopenllm_v2/01-ai/Yi-1.5-6B-Chat/3452e57f-3023-4e2e-ad84-b09e409fe334.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
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-  "retrieved_timestamp": "1762652579.464572",
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-  ],
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-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-    "developer": "01-ai",
-    "inference_platform": "unknown",
-    "id": "01-ai/Yi-1.5-6B-Chat",
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-    {
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diff --git a/data/hfopenllm_v2/01-ai/Yi-1.5-6B-Chat/ec8a6d6c-b8ea-48a3-9af6-d357e0057ec1.json b/data/hfopenllm_v2/01-ai/Yi-1.5-6B-Chat/ec8a6d6c-b8ea-48a3-9af6-d357e0057ec1.json
new file mode 100644
index 000000000..3a37bdc49
--- /dev/null
+++ b/data/hfopenllm_v2/01-ai/Yi-1.5-6B-Chat/ec8a6d6c-b8ea-48a3-9af6-d357e0057ec1.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/01-ai_Yi-1.5-6B-Chat/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Yi-1.5-6B-Chat",
+    "id": "01-ai/Yi-1.5-6B-Chat",
+    "developer": "01-ai",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 6.061
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+      "score_details": {
+        "score": 0.4571
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+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4392
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
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+        "max_score": 1.0
+      },
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+        "score": 0.3193
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/01-ai/Yi-1.5-6B/05307b41-d832-4533-99bd-c8608bf8e64c.json b/data/hfopenllm_v2/01-ai/Yi-1.5-6B/05307b41-d832-4533-99bd-c8608bf8e64c.json
new file mode 100644
index 000000000..8abcdb009
--- /dev/null
+++ b/data/hfopenllm_v2/01-ai/Yi-1.5-6B/05307b41-d832-4533-99bd-c8608bf8e64c.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/01-ai_Yi-1.5-6B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Yi-1.5-6B",
+    "id": "01-ai/Yi-1.5-6B",
+    "developer": "01-ai",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 6.061
+    }
+  },
+  "evaluation_results": [
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+      "evaluation_name": "IFEval",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
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+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+    {
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+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4493
+      }
+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
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+        "lower_is_better": false,
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+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3144
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/01-ai/Yi-1.5-6B/1a1f1263-96b6-4e32-a2c8-6c0d6b47dff9.json b/data/hfopenllm_v2/01-ai/Yi-1.5-6B/1a1f1263-96b6-4e32-a2c8-6c0d6b47dff9.json
deleted file mode 100644
index 464db170c..000000000
--- a/data/hfopenllm_v2/01-ai/Yi-1.5-6B/1a1f1263-96b6-4e32-a2c8-6c0d6b47dff9.json
+++ /dev/null
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-{
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-        "lower_is_better": false,
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-        "max_score": 1
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-      "score_details": {
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diff --git a/data/hfopenllm_v2/01-ai/Yi-1.5-9B-32K/c09bd9b0-6f85-4120-94a9-b628c68bccb7.json b/data/hfopenllm_v2/01-ai/Yi-1.5-9B-32K/c09bd9b0-6f85-4120-94a9-b628c68bccb7.json
new file mode 100644
index 000000000..510b97e1d
--- /dev/null
+++ b/data/hfopenllm_v2/01-ai/Yi-1.5-9B-32K/c09bd9b0-6f85-4120-94a9-b628c68bccb7.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/01-ai_Yi-1.5-9B-32K/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Yi-1.5-9B-32K",
+    "id": "01-ai/Yi-1.5-9B-32K",
+    "developer": "01-ai",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.829
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2303
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+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4963
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.108
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3591
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4186
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3765
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/01-ai/Yi-1.5-9B-32K/df9d9d44-daa1-4e61-9b46-192380043889.json b/data/hfopenllm_v2/01-ai/Yi-1.5-9B-32K/df9d9d44-daa1-4e61-9b46-192380043889.json
deleted file mode 100644
index 130724922..000000000
--- a/data/hfopenllm_v2/01-ai/Yi-1.5-9B-32K/df9d9d44-daa1-4e61-9b46-192380043889.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "retrieved_timestamp": "1762652579.464996",
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-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
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-    "developer": "01-ai",
-    "inference_platform": "unknown",
-    "id": "01-ai/Yi-1.5-9B-32K",
-    "additional_details": {
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-        "min_score": 0,
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diff --git a/data/hfopenllm_v2/01-ai/Yi-1.5-9B-Chat-16K/090c9691-4b7e-4a98-b9a2-644e21797be4.json b/data/hfopenllm_v2/01-ai/Yi-1.5-9B-Chat-16K/090c9691-4b7e-4a98-b9a2-644e21797be4.json
deleted file mode 100644
index 592ac34a4..000000000
--- a/data/hfopenllm_v2/01-ai/Yi-1.5-9B-Chat-16K/090c9691-4b7e-4a98-b9a2-644e21797be4.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
-    "name": "01-ai/Yi-1.5-9B-Chat-16K",
-    "developer": "01-ai",
-    "inference_platform": "unknown",
-    "id": "01-ai/Yi-1.5-9B-Chat-16K",
-    "additional_details": {
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diff --git a/data/hfopenllm_v2/01-ai/Yi-1.5-9B-Chat-16K/9f971385-1146-4436-91a6-0e52d4db1f07.json b/data/hfopenllm_v2/01-ai/Yi-1.5-9B-Chat-16K/9f971385-1146-4436-91a6-0e52d4db1f07.json
new file mode 100644
index 000000000..67dbc9f74
--- /dev/null
+++ b/data/hfopenllm_v2/01-ai/Yi-1.5-9B-Chat-16K/9f971385-1146-4436-91a6-0e52d4db1f07.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/01-ai_Yi-1.5-9B-Chat-16K/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Yi-1.5-9B-Chat-16K",
+    "id": "01-ai/Yi-1.5-9B-Chat-16K",
+    "developer": "01-ai",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.829
+    }
+  },
+  "evaluation_results": [
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+      "evaluation_name": "IFEval",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4214
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "max_score": 1.0
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+    },
+    {
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+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4099
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3994
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/01-ai/Yi-1.5-9B-Chat/80ed14ca-b4cd-4ceb-8fdb-24705e47bd0e.json b/data/hfopenllm_v2/01-ai/Yi-1.5-9B-Chat/80ed14ca-b4cd-4ceb-8fdb-24705e47bd0e.json
new file mode 100644
index 000000000..9ac18fdab
--- /dev/null
+++ b/data/hfopenllm_v2/01-ai/Yi-1.5-9B-Chat/80ed14ca-b4cd-4ceb-8fdb-24705e47bd0e.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/01-ai_Yi-1.5-9B-Chat/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Yi-1.5-9B-Chat",
+    "id": "01-ai/Yi-1.5-9B-Chat",
+    "developer": "01-ai",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.829
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6046
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5559
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2258
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3347
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4259
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/01-ai/Yi-1.5-9B-Chat/9256c32b-d956-418f-97da-ea78e3ad9e48.json b/data/hfopenllm_v2/01-ai/Yi-1.5-9B-Chat/9256c32b-d956-418f-97da-ea78e3ad9e48.json
deleted file mode 100644
index b58ae19b7..000000000
--- a/data/hfopenllm_v2/01-ai/Yi-1.5-9B-Chat/9256c32b-d956-418f-97da-ea78e3ad9e48.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/01-ai_Yi-1.5-9B-Chat/1762652579.465226",
-  "retrieved_timestamp": "1762652579.465226",
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
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-    "developer": "01-ai",
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-    "id": "01-ai/Yi-1.5-9B-Chat",
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-  "evaluation_results": [
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-    {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-}
diff --git a/data/hfopenllm_v2/01-ai/Yi-1.5-9B/904d1f91-3153-49d5-afd3-9921bfc086f1.json b/data/hfopenllm_v2/01-ai/Yi-1.5-9B/904d1f91-3153-49d5-afd3-9921bfc086f1.json
deleted file mode 100644
index 2f07e388c..000000000
--- a/data/hfopenllm_v2/01-ai/Yi-1.5-9B/904d1f91-3153-49d5-afd3-9921bfc086f1.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-        "score_type": "continuous",
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-      "score_details": {
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-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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diff --git a/data/hfopenllm_v2/01-ai/Yi-1.5-9B/db88e3f5-58a9-4783-9093-a6df96483342.json b/data/hfopenllm_v2/01-ai/Yi-1.5-9B/db88e3f5-58a9-4783-9093-a6df96483342.json
new file mode 100644
index 000000000..465841ce2
--- /dev/null
+++ b/data/hfopenllm_v2/01-ai/Yi-1.5-9B/db88e3f5-58a9-4783-9093-a6df96483342.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/01-ai_Yi-1.5-9B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Yi-1.5-9B",
+    "id": "01-ai/Yi-1.5-9B",
+    "developer": "01-ai",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.829
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+      "score_details": {
+        "score": 0.2936
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+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+      "score_details": {
+        "score": 0.5143
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+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
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+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.114
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+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3792
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+      "score_details": {
+        "score": 0.4328
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3916
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/01-ai/Yi-34B-200K/8cd90f8a-d8dc-469b-95b9-260fcef804d2.json b/data/hfopenllm_v2/01-ai/Yi-34B-200K/8cd90f8a-d8dc-469b-95b9-260fcef804d2.json
new file mode 100644
index 000000000..ba5c90e1f
--- /dev/null
+++ b/data/hfopenllm_v2/01-ai/Yi-34B-200K/8cd90f8a-d8dc-469b-95b9-260fcef804d2.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/01-ai_Yi-34B-200K/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Yi-34B-200K",
+    "id": "01-ai/Yi-34B-200K",
+    "developer": "01-ai",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 34.389
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1542
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5442
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0574
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3565
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3817
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4535
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/01-ai/Yi-34B-200K/fb2ebd9a-f5b8-42a2-9b58-e6f0e7d9b98a.json b/data/hfopenllm_v2/01-ai/Yi-34B-200K/fb2ebd9a-f5b8-42a2-9b58-e6f0e7d9b98a.json
deleted file mode 100644
index e04d1051a..000000000
--- a/data/hfopenllm_v2/01-ai/Yi-34B-200K/fb2ebd9a-f5b8-42a2-9b58-e6f0e7d9b98a.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/01-ai_Yi-34B-200K/1762652579.465893",
-  "retrieved_timestamp": "1762652579.465894",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
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-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-    "name": "01-ai/Yi-34B-200K",
-    "developer": "01-ai",
-    "inference_platform": "unknown",
-    "id": "01-ai/Yi-34B-200K",
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-      "precision": "bfloat16",
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-      "params_billions": 34.389
-    }
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-      "evaluation_name": "IFEval",
-      "metric_config": {
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-        "lower_is_better": false,
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-        "lower_is_better": false,
-        "score_type": "continuous",
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-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.38171874999999994
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.45345744680851063
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/01-ai/Yi-34B-Chat/5d9b9217-874b-426d-8af4-5105a3b1b3ad.json b/data/hfopenllm_v2/01-ai/Yi-34B-Chat/5d9b9217-874b-426d-8af4-5105a3b1b3ad.json
deleted file mode 100644
index aaa10e627..000000000
--- a/data/hfopenllm_v2/01-ai/Yi-34B-Chat/5d9b9217-874b-426d-8af4-5105a3b1b3ad.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/01-ai_Yi-34B-Chat/1762652579.466115",
-  "retrieved_timestamp": "1762652579.4661162",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "01-ai/Yi-34B-Chat",
-    "developer": "01-ai",
-    "inference_platform": "unknown",
-    "id": "01-ai/Yi-34B-Chat",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 34.389
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
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-    {
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-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.39784375
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4093251329787234
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/01-ai/Yi-34B-Chat/b2c82703-2b5c-407d-b84f-a8f8261ac894.json b/data/hfopenllm_v2/01-ai/Yi-34B-Chat/b2c82703-2b5c-407d-b84f-a8f8261ac894.json
new file mode 100644
index 000000000..a62cda89d
--- /dev/null
+++ b/data/hfopenllm_v2/01-ai/Yi-34B-Chat/b2c82703-2b5c-407d-b84f-a8f8261ac894.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/01-ai_Yi-34B-Chat/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Yi-34B-Chat",
+    "id": "01-ai/Yi-34B-Chat",
+    "developer": "01-ai",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 34.389
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4699
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5561
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0627
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3381
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3978
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4093
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/01-ai/Yi-34B/3ebcbf3d-cb2d-4332-bb8a-1db104033391.json b/data/hfopenllm_v2/01-ai/Yi-34B/3ebcbf3d-cb2d-4332-bb8a-1db104033391.json
deleted file mode 100644
index 9cc4cb961..000000000
--- a/data/hfopenllm_v2/01-ai/Yi-34B/3ebcbf3d-cb2d-4332-bb8a-1db104033391.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/01-ai_Yi-34B/1762652579.4656792",
-  "retrieved_timestamp": "1762652579.46568",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
-    "name": "01-ai/Yi-34B",
-    "developer": "01-ai",
-    "inference_platform": "unknown",
-    "id": "01-ai/Yi-34B",
-    "additional_details": {
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-      "architecture": "LlamaForCausalLM",
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-    {
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-        "evaluation_description": "Accuracy on BBH",
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-        "score_type": "continuous",
-        "min_score": 0,
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-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
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-        "score_type": "continuous",
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-    {
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-    {
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-        "evaluation_description": "Accuracy on MUSR",
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-        "max_score": 1
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-        "score": 0.4118541666666667
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-    {
-      "evaluation_name": "MMLU-PRO",
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-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
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-        "max_score": 1
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-      "score_details": {
-        "score": 0.441156914893617
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diff --git a/data/hfopenllm_v2/01-ai/Yi-34B/55462e67-5eca-4e9d-9095-51fcf12de5fa.json b/data/hfopenllm_v2/01-ai/Yi-34B/55462e67-5eca-4e9d-9095-51fcf12de5fa.json
new file mode 100644
index 000000000..1781d005a
--- /dev/null
+++ b/data/hfopenllm_v2/01-ai/Yi-34B/55462e67-5eca-4e9d-9095-51fcf12de5fa.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/01-ai_Yi-34B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Yi-34B",
+    "id": "01-ai/Yi-34B",
+    "developer": "01-ai",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 34.389
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3046
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5457
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0514
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3666
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4119
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4412
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/01-ai/Yi-6B-200K/25a119f0-5eaa-4fa9-8cd4-e0f437ada456.json b/data/hfopenllm_v2/01-ai/Yi-6B-200K/25a119f0-5eaa-4fa9-8cd4-e0f437ada456.json
new file mode 100644
index 000000000..8ffbe3e70
--- /dev/null
+++ b/data/hfopenllm_v2/01-ai/Yi-6B-200K/25a119f0-5eaa-4fa9-8cd4-e0f437ada456.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/01-ai_Yi-6B-200K/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Yi-6B-200K",
+    "id": "01-ai/Yi-6B-200K",
+    "developer": "01-ai",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 6.061
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0843
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4289
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0181
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2819
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4587
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2844
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/01-ai/Yi-6B-200K/6b720e8b-aab8-4ba4-9bce-e7a1de3cfb86.json b/data/hfopenllm_v2/01-ai/Yi-6B-200K/6b720e8b-aab8-4ba4-9bce-e7a1de3cfb86.json
deleted file mode 100644
index 0945f8955..000000000
--- a/data/hfopenllm_v2/01-ai/Yi-6B-200K/6b720e8b-aab8-4ba4-9bce-e7a1de3cfb86.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/01-ai_Yi-6B-200K/1762652579.4665558",
-  "retrieved_timestamp": "1762652579.466557",
-  "source_data": [
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-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "01-ai/Yi-6B-200K",
-    "developer": "01-ai",
-    "inference_platform": "unknown",
-    "id": "01-ai/Yi-6B-200K",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 6.061
-    }
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-  "evaluation_results": [
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-      "evaluation_name": "IFEval",
-      "metric_config": {
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-        "min_score": 0,
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-    {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42892948109603307
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
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-    {
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-    {
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-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.45873958333333337
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2844082446808511
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/01-ai/Yi-6B-Chat/1120c801-7736-4d9d-b23d-08eeedb34186.json b/data/hfopenllm_v2/01-ai/Yi-6B-Chat/1120c801-7736-4d9d-b23d-08eeedb34186.json
deleted file mode 100644
index ad5be32a4..000000000
--- a/data/hfopenllm_v2/01-ai/Yi-6B-Chat/1120c801-7736-4d9d-b23d-08eeedb34186.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/01-ai_Yi-6B-Chat/1762652579.466805",
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-  "source_data": [
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-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
-    "name": "01-ai/Yi-6B-Chat",
-    "developer": "01-ai",
-    "inference_platform": "unknown",
-    "id": "01-ai/Yi-6B-Chat",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 6.061
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-      },
-      "score_details": {
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-    },
-    {
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-      "metric_config": {
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
-        "score": 0.29446308724832215
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.36879166666666663
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3061003989361702
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/01-ai/Yi-6B-Chat/efc036b6-d8de-4393-87a1-d4f86fb44d91.json b/data/hfopenllm_v2/01-ai/Yi-6B-Chat/efc036b6-d8de-4393-87a1-d4f86fb44d91.json
new file mode 100644
index 000000000..a454f4866
--- /dev/null
+++ b/data/hfopenllm_v2/01-ai/Yi-6B-Chat/efc036b6-d8de-4393-87a1-d4f86fb44d91.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/01-ai_Yi-6B-Chat/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Yi-6B-Chat",
+    "id": "01-ai/Yi-6B-Chat",
+    "developer": "01-ai",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 6.061
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3395
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4133
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0136
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2945
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3688
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3061
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/01-ai/Yi-6B/297419fa-855c-4eae-ad7c-3cf4a0262450.json b/data/hfopenllm_v2/01-ai/Yi-6B/297419fa-855c-4eae-ad7c-3cf4a0262450.json
deleted file mode 100644
index e435c0939..000000000
--- a/data/hfopenllm_v2/01-ai/Yi-6B/297419fa-855c-4eae-ad7c-3cf4a0262450.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/01-ai_Yi-6B/1762652579.4663382",
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-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
-    "name": "01-ai/Yi-6B",
-    "developer": "01-ai",
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-    "id": "01-ai/Yi-6B",
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diff --git a/data/hfopenllm_v2/01-ai/Yi-6B/a5144406-eb85-43b2-a49d-be6b06d6b04a.json b/data/hfopenllm_v2/01-ai/Yi-6B/a5144406-eb85-43b2-a49d-be6b06d6b04a.json
new file mode 100644
index 000000000..b7fc1616d
--- /dev/null
+++ b/data/hfopenllm_v2/01-ai/Yi-6B/a5144406-eb85-43b2-a49d-be6b06d6b04a.json
@@ -0,0 +1,132 @@
+{
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+  "evaluation_id": "hfopenllm_v2/01-ai_Yi-6B/1770682486.623709",
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+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Yi-6B",
+    "id": "01-ai/Yi-6B",
+    "developer": "01-ai",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 6.061
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+    },
+    {
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+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4309
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+    {
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+        "hf_repo": "Idavidrein/gpqa"
+      },
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+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2693
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3937
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2991
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/01-ai/Yi-9B-200K/4299df04-495a-4687-b143-96b1b562d5e8.json b/data/hfopenllm_v2/01-ai/Yi-9B-200K/4299df04-495a-4687-b143-96b1b562d5e8.json
deleted file mode 100644
index 2fda970ce..000000000
--- a/data/hfopenllm_v2/01-ai/Yi-9B-200K/4299df04-495a-4687-b143-96b1b562d5e8.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/01-ai/Yi-9B-200K/900184ad-656d-416b-956f-5f6e3a991d1b.json b/data/hfopenllm_v2/01-ai/Yi-9B-200K/900184ad-656d-416b-956f-5f6e3a991d1b.json
new file mode 100644
index 000000000..de7d6ef80
--- /dev/null
+++ b/data/hfopenllm_v2/01-ai/Yi-9B-200K/900184ad-656d-416b-956f-5f6e3a991d1b.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/01-ai_Yi-9B-200K/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Yi-9B-200K",
+    "id": "01-ai/Yi-9B-200K",
+    "developer": "01-ai",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.829
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4793
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3154
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4294
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+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3622
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/01-ai/Yi-9B/0ec59add-f9a9-4dbd-8a83-c6aec0b8ad21.json b/data/hfopenllm_v2/01-ai/Yi-9B/0ec59add-f9a9-4dbd-8a83-c6aec0b8ad21.json
deleted file mode 100644
index d8dec6521..000000000
--- a/data/hfopenllm_v2/01-ai/Yi-9B/0ec59add-f9a9-4dbd-8a83-c6aec0b8ad21.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-    "name": "01-ai/Yi-9B",
-    "developer": "01-ai",
-    "inference_platform": "unknown",
-    "id": "01-ai/Yi-9B",
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-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-    {
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-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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diff --git a/data/hfopenllm_v2/01-ai/Yi-9B/7a58954a-5d7d-4640-99fd-773249640237.json b/data/hfopenllm_v2/01-ai/Yi-9B/7a58954a-5d7d-4640-99fd-773249640237.json
new file mode 100644
index 000000000..f8eee73fd
--- /dev/null
+++ b/data/hfopenllm_v2/01-ai/Yi-9B/7a58954a-5d7d-4640-99fd-773249640237.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/01-ai_Yi-9B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Yi-9B",
+    "id": "01-ai/Yi-9B",
+    "developer": "01-ai",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.829
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2709
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+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.494
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+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0559
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+    {
+      "evaluation_name": "GPQA",
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+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
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+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.318
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+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3574
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/01-ai/Yi-Coder-9B-Chat/4ea3146c-b912-424a-b0a9-7c37348348c8.json b/data/hfopenllm_v2/01-ai/Yi-Coder-9B-Chat/4ea3146c-b912-424a-b0a9-7c37348348c8.json
new file mode 100644
index 000000000..aa071d68a
--- /dev/null
+++ b/data/hfopenllm_v2/01-ai/Yi-Coder-9B-Chat/4ea3146c-b912-424a-b0a9-7c37348348c8.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/01-ai_Yi-Coder-9B-Chat/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Yi-Coder-9B-Chat",
+    "id": "01-ai/Yi-Coder-9B-Chat",
+    "developer": "01-ai",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.829
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4817
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4814
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.04
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2475
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3992
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2425
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/01-ai/Yi-Coder-9B-Chat/ef0cc3a5-0d62-4a45-b0c7-28a6f7dfdac4.json b/data/hfopenllm_v2/01-ai/Yi-Coder-9B-Chat/ef0cc3a5-0d62-4a45-b0c7-28a6f7dfdac4.json
deleted file mode 100644
index ed39aac8f..000000000
--- a/data/hfopenllm_v2/01-ai/Yi-Coder-9B-Chat/ef0cc3a5-0d62-4a45-b0c7-28a6f7dfdac4.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/01-ai_Yi-Coder-9B-Chat/1762652579.4674509",
-  "retrieved_timestamp": "1762652579.4674518",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "01-ai/Yi-Coder-9B-Chat",
-    "developer": "01-ai",
-    "inference_platform": "unknown",
-    "id": "01-ai/Yi-Coder-9B-Chat",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.829
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4817041006750976
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.48142000339111674
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.04003021148036254
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.24748322147651006
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3991770833333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.24251994680851063
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/1-800-LLMs/Qwen-2.5-14B-Hindi-Custom-Instruct/a48b0864-76b7-4860-a448-942a8d74f68e.json b/data/hfopenllm_v2/1-800-LLMs/Qwen-2.5-14B-Hindi-Custom-Instruct/a48b0864-76b7-4860-a448-942a8d74f68e.json
deleted file mode 100644
index 1761c187a..000000000
--- a/data/hfopenllm_v2/1-800-LLMs/Qwen-2.5-14B-Hindi-Custom-Instruct/a48b0864-76b7-4860-a448-942a8d74f68e.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/1-800-LLMs_Qwen-2.5-14B-Hindi-Custom-Instruct/1762652579.468073",
-  "retrieved_timestamp": "1762652579.468074",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "1-800-LLMs/Qwen-2.5-14B-Hindi-Custom-Instruct",
-    "developer": "1-800-LLMs",
-    "inference_platform": "unknown",
-    "id": "1-800-LLMs/Qwen-2.5-14B-Hindi-Custom-Instruct",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 14.77
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30774677854758703
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6284322714967584
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.311178247734139
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3699664429530201
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4490625
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.516373005319149
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/1-800-LLMs/Qwen-2.5-14B-Hindi-Custom-Instruct/b0276278-6d86-49c0-a246-cd9110ac1deb.json b/data/hfopenllm_v2/1-800-LLMs/Qwen-2.5-14B-Hindi-Custom-Instruct/b0276278-6d86-49c0-a246-cd9110ac1deb.json
new file mode 100644
index 000000000..14f396bdb
--- /dev/null
+++ b/data/hfopenllm_v2/1-800-LLMs/Qwen-2.5-14B-Hindi-Custom-Instruct/b0276278-6d86-49c0-a246-cd9110ac1deb.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/1-800-LLMs_Qwen-2.5-14B-Hindi-Custom-Instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen-2.5-14B-Hindi-Custom-Instruct",
+    "id": "1-800-LLMs/Qwen-2.5-14B-Hindi-Custom-Instruct",
+    "developer": "1-800-LLMs",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.77
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3077
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6284
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3112
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.37
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4491
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5164
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/1-800-LLMs/Qwen-2.5-14B-Hindi/04216f67-1385-43bf-b7de-5bae7a60f379.json b/data/hfopenllm_v2/1-800-LLMs/Qwen-2.5-14B-Hindi/04216f67-1385-43bf-b7de-5bae7a60f379.json
new file mode 100644
index 000000000..96c0dfd9a
--- /dev/null
+++ b/data/hfopenllm_v2/1-800-LLMs/Qwen-2.5-14B-Hindi/04216f67-1385-43bf-b7de-5bae7a60f379.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/1-800-LLMs_Qwen-2.5-14B-Hindi/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen-2.5-14B-Hindi",
+    "id": "1-800-LLMs/Qwen-2.5-14B-Hindi",
+    "developer": "1-800-LLMs",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.77
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5826
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6524
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3331
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3624
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4489
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5263
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/1024m/PHI-4-Hindi/fbf7b76b-7ced-4217-8e14-1d02184e271c.json b/data/hfopenllm_v2/1024m/PHI-4-Hindi/fbf7b76b-7ced-4217-8e14-1d02184e271c.json
new file mode 100644
index 000000000..0b0fe7e6b
--- /dev/null
+++ b/data/hfopenllm_v2/1024m/PHI-4-Hindi/fbf7b76b-7ced-4217-8e14-1d02184e271c.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/1024m_PHI-4-Hindi/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "PHI-4-Hindi",
+    "id": "1024m/PHI-4-Hindi",
+    "developer": "1024m",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 14.66
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
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+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0082
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.671
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+      }
+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3977
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4914
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5239
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/1024m/QWEN-14B-B100/74ac8aba-6dfb-464c-81b5-d02a9192b9cc.json b/data/hfopenllm_v2/1024m/QWEN-14B-B100/74ac8aba-6dfb-464c-81b5-d02a9192b9cc.json
new file mode 100644
index 000000000..21260063a
--- /dev/null
+++ b/data/hfopenllm_v2/1024m/QWEN-14B-B100/74ac8aba-6dfb-464c-81b5-d02a9192b9cc.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/1024m_QWEN-14B-B100/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "QWEN-14B-B100",
+    "id": "1024m/QWEN-14B-B100",
+    "developer": "1024m",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.77
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7762
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6533
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5438
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3507
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.41
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5179
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/152334H/miqu-1-70b-sf/295938e1-ade2-4d36-beca-3cbe506b5b90.json b/data/hfopenllm_v2/152334H/miqu-1-70b-sf/295938e1-ade2-4d36-beca-3cbe506b5b90.json
new file mode 100644
index 000000000..133dae7a4
--- /dev/null
+++ b/data/hfopenllm_v2/152334H/miqu-1-70b-sf/295938e1-ade2-4d36-beca-3cbe506b5b90.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/152334H_miqu-1-70b-sf/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "miqu-1-70b-sf",
+    "id": "152334H/miqu-1-70b-sf",
+    "developer": "152334H",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 68.977
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5182
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6102
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1246
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3507
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4582
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4228
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/152334H/miqu-1-70b-sf/f57d7b8d-85d5-4e0b-8dec-31e2931487dd.json b/data/hfopenllm_v2/152334H/miqu-1-70b-sf/f57d7b8d-85d5-4e0b-8dec-31e2931487dd.json
deleted file mode 100644
index 93595795a..000000000
--- a/data/hfopenllm_v2/152334H/miqu-1-70b-sf/f57d7b8d-85d5-4e0b-8dec-31e2931487dd.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/152334H_miqu-1-70b-sf/1762652579.469194",
-  "retrieved_timestamp": "1762652579.469195",
-  "source_data": [
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-  ],
-  "source_metadata": {
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "152334H/miqu-1-70b-sf",
-    "developer": "152334H",
-    "inference_platform": "unknown",
-    "id": "152334H/miqu-1-70b-sf",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 68.977
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-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-    {
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
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-        "min_score": 0,
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-        "score_type": "continuous",
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-        "max_score": 1
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-      "score_details": {
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-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42278922872340424
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-}
diff --git a/data/hfopenllm_v2/1TuanPham/T-VisStar-7B-v0.1/1347cd1b-2ebc-4223-900f-7c2479e228a3.json b/data/hfopenllm_v2/1TuanPham/T-VisStar-7B-v0.1/1347cd1b-2ebc-4223-900f-7c2479e228a3.json
deleted file mode 100644
index 630c3e805..000000000
--- a/data/hfopenllm_v2/1TuanPham/T-VisStar-7B-v0.1/1347cd1b-2ebc-4223-900f-7c2479e228a3.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/1TuanPham_T-VisStar-7B-v0.1/1762652579.469481",
-  "retrieved_timestamp": "1762652579.469482",
-  "source_data": [
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-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
-    "name": "1TuanPham/T-VisStar-7B-v0.1",
-    "developer": "1TuanPham",
-    "inference_platform": "unknown",
-    "id": "1TuanPham/T-VisStar-7B-v0.1",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.294
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-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
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diff --git a/data/hfopenllm_v2/1TuanPham/T-VisStar-7B-v0.1/f331782f-ea09-41bd-8c6a-e964c88d7e09.json b/data/hfopenllm_v2/1TuanPham/T-VisStar-7B-v0.1/f331782f-ea09-41bd-8c6a-e964c88d7e09.json
new file mode 100644
index 000000000..95ed6976e
--- /dev/null
+++ b/data/hfopenllm_v2/1TuanPham/T-VisStar-7B-v0.1/f331782f-ea09-41bd-8c6a-e964c88d7e09.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/1TuanPham_T-VisStar-7B-v0.1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "T-VisStar-7B-v0.1",
+    "id": "1TuanPham/T-VisStar-7B-v0.1",
+    "developer": "1TuanPham",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.294
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3607
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5052
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0574
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2852
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4375
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3211
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/1TuanPham/T-VisStar-v0.1/b2926dd6-628c-4274-b0e8-1efc64269bb2.json b/data/hfopenllm_v2/1TuanPham/T-VisStar-v0.1/b2926dd6-628c-4274-b0e8-1efc64269bb2.json
deleted file mode 100644
index d21431fc2..000000000
--- a/data/hfopenllm_v2/1TuanPham/T-VisStar-v0.1/b2926dd6-628c-4274-b0e8-1efc64269bb2.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/1TuanPham_T-VisStar-v0.1/1762652579.469921",
-  "retrieved_timestamp": "1762652579.469923",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "1TuanPham/T-VisStar-v0.1",
-    "developer": "1TuanPham",
-    "inference_platform": "unknown",
-    "id": "1TuanPham/T-VisStar-v0.1",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.294
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.36070404305021786
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5052203113352468
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.05740181268882175
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.28523489932885904
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4375
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3210605053191489
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/1TuanPham/T-VisStar-v0.1/e4e3d79a-1de9-43be-a029-0be4f60e472b.json b/data/hfopenllm_v2/1TuanPham/T-VisStar-v0.1/e4e3d79a-1de9-43be-a029-0be4f60e472b.json
new file mode 100644
index 000000000..32ac26ea2
--- /dev/null
+++ b/data/hfopenllm_v2/1TuanPham/T-VisStar-v0.1/e4e3d79a-1de9-43be-a029-0be4f60e472b.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/1TuanPham_T-VisStar-v0.1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "T-VisStar-v0.1",
+    "id": "1TuanPham/T-VisStar-v0.1",
+    "developer": "1TuanPham",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.294
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3607
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5052
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0574
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2852
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4375
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3211
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/3rd-Degree-Burn/L-3.1-Science-Writer-8B/0c4fd071-b5c9-4bf1-a1d5-d658be1a3258.json b/data/hfopenllm_v2/3rd-Degree-Burn/L-3.1-Science-Writer-8B/0c4fd071-b5c9-4bf1-a1d5-d658be1a3258.json
deleted file mode 100644
index f1d053d4e..000000000
--- a/data/hfopenllm_v2/3rd-Degree-Burn/L-3.1-Science-Writer-8B/0c4fd071-b5c9-4bf1-a1d5-d658be1a3258.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/3rd-Degree-Burn_L-3.1-Science-Writer-8B/1762652579.470164",
-  "retrieved_timestamp": "1762652579.470165",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "3rd-Degree-Burn/L-3.1-Science-Writer-8B",
-    "developer": "3rd-Degree-Burn",
-    "inference_platform": "unknown",
-    "id": "3rd-Degree-Burn/L-3.1-Science-Writer-8B",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42625012743963797
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5041306326216103
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.10347432024169184
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.27432885906040266
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3959479166666666
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.36494348404255317
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/3rd-Degree-Burn/L-3.1-Science-Writer-8B/6914ac28-b543-4f36-81f1-f7491c018e3b.json b/data/hfopenllm_v2/3rd-Degree-Burn/L-3.1-Science-Writer-8B/6914ac28-b543-4f36-81f1-f7491c018e3b.json
new file mode 100644
index 000000000..c548f8a55
--- /dev/null
+++ b/data/hfopenllm_v2/3rd-Degree-Burn/L-3.1-Science-Writer-8B/6914ac28-b543-4f36-81f1-f7491c018e3b.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/3rd-Degree-Burn_L-3.1-Science-Writer-8B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "L-3.1-Science-Writer-8B",
+    "id": "3rd-Degree-Burn/L-3.1-Science-Writer-8B",
+    "developer": "3rd-Degree-Burn",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4263
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5041
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1035
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2743
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3959
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3649
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/3rd-Degree-Burn/Llama-3.1-8B-Squareroot-v1/b7378f41-46ab-41af-94cc-e7fb10738658.json b/data/hfopenllm_v2/3rd-Degree-Burn/Llama-3.1-8B-Squareroot-v1/b7378f41-46ab-41af-94cc-e7fb10738658.json
new file mode 100644
index 000000000..44e2bc2aa
--- /dev/null
+++ b/data/hfopenllm_v2/3rd-Degree-Burn/Llama-3.1-8B-Squareroot-v1/b7378f41-46ab-41af-94cc-e7fb10738658.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/3rd-Degree-Burn/Llama-3.1-8B-Squareroot/acedae59-6192-4ac4-a354-d520ecd6ba36.json b/data/hfopenllm_v2/3rd-Degree-Burn/Llama-3.1-8B-Squareroot/acedae59-6192-4ac4-a354-d520ecd6ba36.json
new file mode 100644
index 000000000..56cd9d2ea
--- /dev/null
+++ b/data/hfopenllm_v2/3rd-Degree-Burn/Llama-3.1-8B-Squareroot/acedae59-6192-4ac4-a354-d520ecd6ba36.json
@@ -0,0 +1,132 @@
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+  "source_metadata": {
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+    "developer": "3rd-Degree-Burn",
+    "inference_platform": "unknown",
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+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/3rd-Degree-Burn/Llama-Squared-8B/ff105961-761d-4261-8a44-20acf2e7f440.json b/data/hfopenllm_v2/3rd-Degree-Burn/Llama-Squared-8B/ff105961-761d-4261-8a44-20acf2e7f440.json
new file mode 100644
index 000000000..4375cd5c9
--- /dev/null
+++ b/data/hfopenllm_v2/3rd-Degree-Burn/Llama-Squared-8B/ff105961-761d-4261-8a44-20acf2e7f440.json
@@ -0,0 +1,132 @@
+{
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+  "source_metadata": {
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+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-Squared-8B",
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+    "developer": "3rd-Degree-Burn",
+    "inference_platform": "unknown",
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+    }
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+        "source_type": "hf_dataset",
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
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+        "score_type": "continuous",
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+        "max_score": 1.0
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+      "score_details": {
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+    },
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+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
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+        "hf_repo": "TAUR-Lab/MuSR"
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/4season/final_model_test_v2/74973e37-cd82-4e8a-816a-02b035fabff4.json b/data/hfopenllm_v2/4season/final_model_test_v2/74973e37-cd82-4e8a-816a-02b035fabff4.json
deleted file mode 100644
index f8594dea2..000000000
--- a/data/hfopenllm_v2/4season/final_model_test_v2/74973e37-cd82-4e8a-816a-02b035fabff4.json
+++ /dev/null
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-    "source_name": "HF Open LLM v2",
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-  "model_info": {
-    "name": "4season/final_model_test_v2",
-    "developer": "4season",
-    "inference_platform": "unknown",
-    "id": "4season/final_model_test_v2",
-    "additional_details": {
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-      "architecture": "LlamaForCausalLM",
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-    }
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-}
diff --git a/data/hfopenllm_v2/4season/final_model_test_v2/fa0901f6-514e-44ae-84dc-0b793f26169e.json b/data/hfopenllm_v2/4season/final_model_test_v2/fa0901f6-514e-44ae-84dc-0b793f26169e.json
new file mode 100644
index 000000000..2c3cdad71
--- /dev/null
+++ b/data/hfopenllm_v2/4season/final_model_test_v2/fa0901f6-514e-44ae-84dc-0b793f26169e.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/4season_final_model_test_v2/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "final_model_test_v2",
+    "id": "4season/final_model_test_v2",
+    "developer": "4season",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 21.421
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+    },
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+      "score_details": {
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+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3272
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4314
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3528
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/AALF/FuseChat-Llama-3.1-8B-Instruct-preview/3766e8a0-99ad-4733-a01b-ced446b15eda.json b/data/hfopenllm_v2/AALF/FuseChat-Llama-3.1-8B-Instruct-preview/3766e8a0-99ad-4733-a01b-ced446b15eda.json
deleted file mode 100644
index db98ee338..000000000
--- a/data/hfopenllm_v2/AALF/FuseChat-Llama-3.1-8B-Instruct-preview/3766e8a0-99ad-4733-a01b-ced446b15eda.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/AALF_FuseChat-Llama-3.1-8B-Instruct-preview/1762652579.471838",
-  "retrieved_timestamp": "1762652579.471839",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
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-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "AALF/FuseChat-Llama-3.1-8B-Instruct-preview",
-    "developer": "AALF",
-    "inference_platform": "unknown",
-    "id": "AALF/FuseChat-Llama-3.1-8B-Instruct-preview",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
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-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7189579205397235
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5119887898349903
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-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3053691275167785
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.38200000000000006
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3732546542553192
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/AALF/FuseChat-Llama-3.1-8B-Instruct-preview/d2dff5df-343b-40f3-85de-14eb72dab050.json b/data/hfopenllm_v2/AALF/FuseChat-Llama-3.1-8B-Instruct-preview/d2dff5df-343b-40f3-85de-14eb72dab050.json
new file mode 100644
index 000000000..6aa520b9d
--- /dev/null
+++ b/data/hfopenllm_v2/AALF/FuseChat-Llama-3.1-8B-Instruct-preview/d2dff5df-343b-40f3-85de-14eb72dab050.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/AALF_FuseChat-Llama-3.1-8B-Instruct-preview/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "FuseChat-Llama-3.1-8B-Instruct-preview",
+    "id": "AALF/FuseChat-Llama-3.1-8B-Instruct-preview",
+    "developer": "AALF",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.719
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.512
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2477
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3054
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.382
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3733
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/AALF/FuseChat-Llama-3.1-8B-SFT-preview/342ac912-805f-4166-b8f4-10f0503fa892.json b/data/hfopenllm_v2/AALF/FuseChat-Llama-3.1-8B-SFT-preview/342ac912-805f-4166-b8f4-10f0503fa892.json
deleted file mode 100644
index 8f67e9b7a..000000000
--- a/data/hfopenllm_v2/AALF/FuseChat-Llama-3.1-8B-SFT-preview/342ac912-805f-4166-b8f4-10f0503fa892.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/AALF_FuseChat-Llama-3.1-8B-SFT-preview/1762652579.472149",
-  "retrieved_timestamp": "1762652579.47215",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "AALF/FuseChat-Llama-3.1-8B-SFT-preview",
-    "developer": "AALF",
-    "inference_platform": "unknown",
-    "id": "AALF/FuseChat-Llama-3.1-8B-SFT-preview",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7280504616639405
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5240303130445233
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.22507552870090636
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30453020134228187
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.40199999999999997
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37433510638297873
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/AALF/FuseChat-Llama-3.1-8B-SFT-preview/8fa3010f-b7a1-4fc1-9156-ba70453add86.json b/data/hfopenllm_v2/AALF/FuseChat-Llama-3.1-8B-SFT-preview/8fa3010f-b7a1-4fc1-9156-ba70453add86.json
new file mode 100644
index 000000000..5b5e4c7c1
--- /dev/null
+++ b/data/hfopenllm_v2/AALF/FuseChat-Llama-3.1-8B-SFT-preview/8fa3010f-b7a1-4fc1-9156-ba70453add86.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/AALF_FuseChat-Llama-3.1-8B-SFT-preview/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "FuseChat-Llama-3.1-8B-SFT-preview",
+    "id": "AALF/FuseChat-Llama-3.1-8B-SFT-preview",
+    "developer": "AALF",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7281
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.524
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2251
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3045
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.402
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3743
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/AALF/gemma-2-27b-it-SimPO-37K-100steps/58034f99-3b01-46d6-aea9-90c75d073bb0.json b/data/hfopenllm_v2/AALF/gemma-2-27b-it-SimPO-37K-100steps/58034f99-3b01-46d6-aea9-90c75d073bb0.json
new file mode 100644
index 000000000..410931148
--- /dev/null
+++ b/data/hfopenllm_v2/AALF/gemma-2-27b-it-SimPO-37K-100steps/58034f99-3b01-46d6-aea9-90c75d073bb0.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/AALF_gemma-2-27b-it-SimPO-37K-100steps/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "gemma-2-27b-it-SimPO-37K-100steps",
+    "id": "AALF/gemma-2-27b-it-SimPO-37K-100steps",
+    "developer": "AALF",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Gemma2ForCausalLM",
+      "params_billions": 27.227
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2568
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3931
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0211
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2886
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3329
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2125
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/AALF/gemma-2-27b-it-SimPO-37K/e6c08c9c-6d01-45c7-8a24-219b756b8632.json b/data/hfopenllm_v2/AALF/gemma-2-27b-it-SimPO-37K/e6c08c9c-6d01-45c7-8a24-219b756b8632.json
new file mode 100644
index 000000000..3cc0a4181
--- /dev/null
+++ b/data/hfopenllm_v2/AALF/gemma-2-27b-it-SimPO-37K/e6c08c9c-6d01-45c7-8a24-219b756b8632.json
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/AELLM/gemma-2-aeria-infinity-9b/cd97ad01-1d20-4cbd-a9bb-2acf3d9fdcc7.json b/data/hfopenllm_v2/AELLM/gemma-2-aeria-infinity-9b/cd97ad01-1d20-4cbd-a9bb-2acf3d9fdcc7.json
new file mode 100644
index 000000000..4e8d23811
--- /dev/null
+++ b/data/hfopenllm_v2/AELLM/gemma-2-aeria-infinity-9b/cd97ad01-1d20-4cbd-a9bb-2acf3d9fdcc7.json
@@ -0,0 +1,132 @@
+{
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+    "id": "AELLM/gemma-2-aeria-infinity-9b",
+    "developer": "AELLM",
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+        "hf_repo": "SaylorTwift/bbh"
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+        "max_score": 1.0
+      },
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+        "hf_repo": "TIGER-Lab/MMLU-Pro"
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+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/AELLM/gemma-2-lyco-infinity-9b/95f44ef8-e5ba-4bdc-97a7-2c5a678b07be.json b/data/hfopenllm_v2/AELLM/gemma-2-lyco-infinity-9b/95f44ef8-e5ba-4bdc-97a7-2c5a678b07be.json
new file mode 100644
index 000000000..8c6280d2f
--- /dev/null
+++ b/data/hfopenllm_v2/AELLM/gemma-2-lyco-infinity-9b/95f44ef8-e5ba-4bdc-97a7-2c5a678b07be.json
@@ -0,0 +1,132 @@
+{
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+  "source_metadata": {
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+    "source_type": "documentation",
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+    "developer": "AELLM",
+    "inference_platform": "unknown",
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+        "min_score": 0.0,
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+        "hf_repo": "SaylorTwift/bbh"
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+        "evaluation_description": "Exact Match on MATH Level 5",
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+      },
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+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/AGI-0/Art-v0-3B/082f25f0-994c-438a-8086-b1e439aca466.json b/data/hfopenllm_v2/AGI-0/Art-v0-3B/082f25f0-994c-438a-8086-b1e439aca466.json
new file mode 100644
index 000000000..521160bae
--- /dev/null
+++ b/data/hfopenllm_v2/AGI-0/Art-v0-3B/082f25f0-994c-438a-8086-b1e439aca466.json
@@ -0,0 +1,132 @@
+{
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+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
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+        "max_score": 1.0
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+    },
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
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+    {
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+        "evaluation_description": "Accuracy on MMLU-PRO",
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+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/AGI-0/Art-v0-3B/162b6d5f-f983-4989-9603-f6baea26b633.json b/data/hfopenllm_v2/AGI-0/Art-v0-3B/162b6d5f-f983-4989-9603-f6baea26b633.json
deleted file mode 100644
index 1e3cd0456..000000000
--- a/data/hfopenllm_v2/AGI-0/Art-v0-3B/162b6d5f-f983-4989-9603-f6baea26b633.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-    "developer": "AGI-0",
-    "inference_platform": "unknown",
-    "id": "AGI-0/Art-v0-3B",
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-        "score_type": "continuous",
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-        "max_score": 1
-      },
-      "score_details": {
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-    {
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-        "score_type": "continuous",
-        "min_score": 0,
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-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-      "score_details": {
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-}
diff --git a/data/hfopenllm_v2/AGI-0/Artificium-llama3.1-8B-001/31423cbd-08cd-4079-b1c5-ba412acf1b51.json b/data/hfopenllm_v2/AGI-0/Artificium-llama3.1-8B-001/31423cbd-08cd-4079-b1c5-ba412acf1b51.json
new file mode 100644
index 000000000..39747f5fd
--- /dev/null
+++ b/data/hfopenllm_v2/AGI-0/Artificium-llama3.1-8B-001/31423cbd-08cd-4079-b1c5-ba412acf1b51.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/AGI-0_Artificium-llama3.1-8B-001/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Artificium-llama3.1-8B-001",
+    "id": "AGI-0/Artificium-llama3.1-8B-001",
+    "developer": "AGI-0",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5248
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4256
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
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+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3795
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3182
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/AGI-0/smartllama3.1-8B-001/2669bd86-da65-4d87-8464-bfa8c741ce0b.json b/data/hfopenllm_v2/AGI-0/smartllama3.1-8B-001/2669bd86-da65-4d87-8464-bfa8c741ce0b.json
new file mode 100644
index 000000000..2a80fe730
--- /dev/null
+++ b/data/hfopenllm_v2/AGI-0/smartllama3.1-8B-001/2669bd86-da65-4d87-8464-bfa8c741ce0b.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/AGI-0_smartllama3.1-8B-001/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "smartllama3.1-8B-001",
+    "id": "AGI-0/smartllama3.1-8B-001",
+    "developer": "AGI-0",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3518
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.467
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1299
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3062
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4386
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3487
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/AI-MO/NuminaMath-7B-CoT/9ac2ba3c-9a21-46b2-a21c-4909cfae6315.json b/data/hfopenllm_v2/AI-MO/NuminaMath-7B-CoT/9ac2ba3c-9a21-46b2-a21c-4909cfae6315.json
deleted file mode 100644
index 21e6b5be2..000000000
--- a/data/hfopenllm_v2/AI-MO/NuminaMath-7B-CoT/9ac2ba3c-9a21-46b2-a21c-4909cfae6315.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/AI-MO_NuminaMath-7B-CoT/1762652579.474318",
-  "retrieved_timestamp": "1762652579.4743192",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "AI-MO/NuminaMath-7B-CoT",
-    "developer": "AI-MO",
-    "inference_platform": "unknown",
-    "id": "AI-MO/NuminaMath-7B-CoT",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 6.91
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2688544173903022
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-      },
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-        "score": 0.26963746223564955
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-    },
-    {
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-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.26593959731543626
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.33034375
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.28681848404255317
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/AI-MO/NuminaMath-7B-CoT/ab2c19ff-5671-446f-b09e-731e2ae515ca.json b/data/hfopenllm_v2/AI-MO/NuminaMath-7B-CoT/ab2c19ff-5671-446f-b09e-731e2ae515ca.json
new file mode 100644
index 000000000..885230cbc
--- /dev/null
+++ b/data/hfopenllm_v2/AI-MO/NuminaMath-7B-CoT/ab2c19ff-5671-446f-b09e-731e2ae515ca.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/AI-MO_NuminaMath-7B-CoT/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "NuminaMath-7B-CoT",
+    "id": "AI-MO/NuminaMath-7B-CoT",
+    "developer": "AI-MO",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 6.91
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2689
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4314
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2696
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2659
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3303
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2868
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/AI-MO/NuminaMath-7B-TIR/0ffa78d4-fe45-4639-bcd1-eb19ab168a35.json b/data/hfopenllm_v2/AI-MO/NuminaMath-7B-TIR/0ffa78d4-fe45-4639-bcd1-eb19ab168a35.json
deleted file mode 100644
index 27ba37142..000000000
--- a/data/hfopenllm_v2/AI-MO/NuminaMath-7B-TIR/0ffa78d4-fe45-4639-bcd1-eb19ab168a35.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/AI-MO_NuminaMath-7B-TIR/1762652579.474566",
-  "retrieved_timestamp": "1762652579.474567",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "AI-MO/NuminaMath-7B-TIR",
-    "developer": "AI-MO",
-    "inference_platform": "unknown",
-    "id": "AI-MO/NuminaMath-7B-TIR",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 6.91
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.27562423259174545
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41436913375897894
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1608761329305136
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.25838926174496646
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.35092708333333333
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2732712765957447
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/AI-MO/NuminaMath-7B-TIR/36250dc3-cb51-43be-8ab0-6788eb5bda7c.json b/data/hfopenllm_v2/AI-MO/NuminaMath-7B-TIR/36250dc3-cb51-43be-8ab0-6788eb5bda7c.json
new file mode 100644
index 000000000..d1e8152de
--- /dev/null
+++ b/data/hfopenllm_v2/AI-MO/NuminaMath-7B-TIR/36250dc3-cb51-43be-8ab0-6788eb5bda7c.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/AI-MO_NuminaMath-7B-TIR/1770682486.623709",
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
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+        "hf_repo": "Idavidrein/gpqa"
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+        "hf_repo": "TAUR-Lab/MuSR"
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
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+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/AI-Sweden-Models/Llama-3-8B-instruct/1d68bd2e-de6e-4327-a8f1-33322eba537e.json b/data/hfopenllm_v2/AI-Sweden-Models/Llama-3-8B-instruct/1d68bd2e-de6e-4327-a8f1-33322eba537e.json
deleted file mode 100644
index 0a0d4a1bd..000000000
--- a/data/hfopenllm_v2/AI-Sweden-Models/Llama-3-8B-instruct/1d68bd2e-de6e-4327-a8f1-33322eba537e.json
+++ /dev/null
@@ -1,105 +0,0 @@
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-    "source_name": "HF Open LLM v2",
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-    "developer": "AI-Sweden-Models",
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-    "id": "AI-Sweden-Models/Llama-3-8B-instruct",
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-}
diff --git a/data/hfopenllm_v2/AI-Sweden-Models/Llama-3-8B-instruct/cd616d6a-151f-4aaa-93b5-9c4a758f95b5.json b/data/hfopenllm_v2/AI-Sweden-Models/Llama-3-8B-instruct/cd616d6a-151f-4aaa-93b5-9c4a758f95b5.json
new file mode 100644
index 000000000..4c342ae03
--- /dev/null
+++ b/data/hfopenllm_v2/AI-Sweden-Models/Llama-3-8B-instruct/cd616d6a-151f-4aaa-93b5-9c4a758f95b5.json
@@ -0,0 +1,132 @@
+{
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+  "source_metadata": {
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+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
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+    "id": "AI-Sweden-Models/Llama-3-8B-instruct",
+    "developer": "AI-Sweden-Models",
+    "inference_platform": "unknown",
+    "additional_details": {
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+      "architecture": "LlamaForCausalLM",
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+  "evaluation_results": [
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
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+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
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+        "max_score": 1.0
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
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+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
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+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4771
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+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/AI-Sweden-Models/gpt-sw3-40b/9cb09cae-9b1b-43b1-afbf-f44b0a44053c.json b/data/hfopenllm_v2/AI-Sweden-Models/gpt-sw3-40b/9cb09cae-9b1b-43b1-afbf-f44b0a44053c.json
new file mode 100644
index 000000000..d5848d50e
--- /dev/null
+++ b/data/hfopenllm_v2/AI-Sweden-Models/gpt-sw3-40b/9cb09cae-9b1b-43b1-afbf-f44b0a44053c.json
@@ -0,0 +1,132 @@
+{
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+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "gpt-sw3-40b",
+    "id": "AI-Sweden-Models/gpt-sw3-40b",
+    "developer": "AI-Sweden-Models",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "GPT2LMHeadModel",
+      "params_billions": 39.927
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.147
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3268
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0174
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
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+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3632
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+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
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+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/AI4free/Dhanishtha/038c32da-add5-4299-ac17-df6ef3fdea58.json b/data/hfopenllm_v2/AI4free/Dhanishtha/038c32da-add5-4299-ac17-df6ef3fdea58.json
new file mode 100644
index 000000000..ead44ad6b
--- /dev/null
+++ b/data/hfopenllm_v2/AI4free/Dhanishtha/038c32da-add5-4299-ac17-df6ef3fdea58.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/AI4free_Dhanishtha/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Dhanishtha",
+    "id": "AI4free/Dhanishtha",
+    "developer": "AI4free",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 1.777
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3404
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2525
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3569
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1643
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/AI4free/Dhanishtha/a554a3eb-943c-4135-966b-929129ef025d.json b/data/hfopenllm_v2/AI4free/Dhanishtha/a554a3eb-943c-4135-966b-929129ef025d.json
deleted file mode 100644
index 2ded5b849..000000000
--- a/data/hfopenllm_v2/AI4free/Dhanishtha/a554a3eb-943c-4135-966b-929129ef025d.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/AI4free_Dhanishtha/1762652579.475332",
-  "retrieved_timestamp": "1762652579.475332",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "AI4free/Dhanishtha",
-    "developer": "AI4free",
-    "inference_platform": "unknown",
-    "id": "AI4free/Dhanishtha",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 1.777
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2451240486353985
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-    },
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-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.34039444943326375
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-        "score": 0.25604229607250756
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-    {
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-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2525167785234899
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.35694791666666664
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.16431183510638298
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/AI4free/t2/25eb4bdf-beb4-4ad2-a5e9-3a2f31c46cb5.json b/data/hfopenllm_v2/AI4free/t2/25eb4bdf-beb4-4ad2-a5e9-3a2f31c46cb5.json
new file mode 100644
index 000000000..f06b40189
--- /dev/null
+++ b/data/hfopenllm_v2/AI4free/t2/25eb4bdf-beb4-4ad2-a5e9-3a2f31c46cb5.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/AI4free_t2/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "t2",
+    "id": "AI4free/t2",
+    "developer": "AI4free",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.613
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3867
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.291
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1896
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2576
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3846
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1144
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/AI4free/t2/332ccdb5-faf5-47c6-afeb-a91d2148adf0.json b/data/hfopenllm_v2/AI4free/t2/332ccdb5-faf5-47c6-afeb-a91d2148adf0.json
deleted file mode 100644
index 8b8a21147..000000000
--- a/data/hfopenllm_v2/AI4free/t2/332ccdb5-faf5-47c6-afeb-a91d2148adf0.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/AI4free_t2/1762652579.475577",
-  "retrieved_timestamp": "1762652579.475578",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "AI4free/t2",
-    "developer": "AI4free",
-    "inference_platform": "unknown",
-    "id": "AI4free/t2",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.613
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2910111436321769
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.18957703927492447
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2575503355704698
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3846354166666666
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11436170212765957
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/AIDC-AI/Marco-o1/17f7398f-675d-4b38-b233-64fc106737c3.json b/data/hfopenllm_v2/AIDC-AI/Marco-o1/17f7398f-675d-4b38-b233-64fc106737c3.json
deleted file mode 100644
index aad9194d0..000000000
--- a/data/hfopenllm_v2/AIDC-AI/Marco-o1/17f7398f-675d-4b38-b233-64fc106737c3.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/AIDC-AI_Marco-o1/1762652579.47579",
-  "retrieved_timestamp": "1762652579.4757912",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "AIDC-AI/Marco-o1",
-    "developer": "AIDC-AI",
-    "inference_platform": "unknown",
-    "id": "AIDC-AI/Marco-o1",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.616
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.477083028586373
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5364362696398749
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37462235649546827
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.25922818791946306
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41384375
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41165226063829785
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/AIDC-AI/Marco-o1/77655d60-872f-468a-acc6-d584ef5bf46a.json b/data/hfopenllm_v2/AIDC-AI/Marco-o1/77655d60-872f-468a-acc6-d584ef5bf46a.json
new file mode 100644
index 000000000..a71a6c124
--- /dev/null
+++ b/data/hfopenllm_v2/AIDC-AI/Marco-o1/77655d60-872f-468a-acc6-d584ef5bf46a.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/AIDC-AI_Marco-o1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Marco-o1",
+    "id": "AIDC-AI/Marco-o1",
+    "developer": "AIDC-AI",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4771
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5364
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3746
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2592
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4138
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4117
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Aashraf995/Creative-7B-nerd/4de378c8-ccf6-4f0b-8287-3d138a8645b9.json b/data/hfopenllm_v2/Aashraf995/Creative-7B-nerd/4de378c8-ccf6-4f0b-8287-3d138a8645b9.json
new file mode 100644
index 000000000..90198bb55
--- /dev/null
+++ b/data/hfopenllm_v2/Aashraf995/Creative-7B-nerd/4de378c8-ccf6-4f0b-8287-3d138a8645b9.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Aashraf995_Creative-7B-nerd/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Creative-7B-nerd",
+    "id": "Aashraf995/Creative-7B-nerd",
+    "developer": "Aashraf995",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4722
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
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+        "evaluation_description": "Exact Match on MATH Level 5",
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+        "hf_repo": "Idavidrein/gpqa"
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
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+        "evaluation_description": "Accuracy on MMLU-PRO",
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+      }
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+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Aashraf995/Creative-7B-nerd/7ea9f4db-5b52-40a5-904e-785e43302934.json b/data/hfopenllm_v2/Aashraf995/Creative-7B-nerd/7ea9f4db-5b52-40a5-904e-785e43302934.json
deleted file mode 100644
index a161150a8..000000000
--- a/data/hfopenllm_v2/Aashraf995/Creative-7B-nerd/7ea9f4db-5b52-40a5-904e-785e43302934.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "source_data": [
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Aashraf995/Creative-7B-nerd",
-    "developer": "Aashraf995",
-    "inference_platform": "unknown",
-    "id": "Aashraf995/Creative-7B-nerd",
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-  "evaluation_results": [
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-      "metric_config": {
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-        "lower_is_better": false,
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-}
diff --git a/data/hfopenllm_v2/Aashraf995/Gemma-Evo-10B/8039cadf-6644-44e7-8452-90e9c8069e28.json b/data/hfopenllm_v2/Aashraf995/Gemma-Evo-10B/8039cadf-6644-44e7-8452-90e9c8069e28.json
new file mode 100644
index 000000000..915792a80
--- /dev/null
+++ b/data/hfopenllm_v2/Aashraf995/Gemma-Evo-10B/8039cadf-6644-44e7-8452-90e9c8069e28.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Aashraf995_Gemma-Evo-10B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Gemma-Evo-10B",
+    "id": "Aashraf995/Gemma-Evo-10B",
+    "developer": "Aashraf995",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Gemma2ForCausalLM",
+      "params_billions": 10.159
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
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+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
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+        "hf_repo": "Idavidrein/gpqa"
+      },
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+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+      }
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+    {
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+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+      "score_details": {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4275
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Aashraf995/Qwen-Evo-7B/8914d89d-c873-4704-998e-dc807e96030b.json b/data/hfopenllm_v2/Aashraf995/Qwen-Evo-7B/8914d89d-c873-4704-998e-dc807e96030b.json
new file mode 100644
index 000000000..b958767ce
--- /dev/null
+++ b/data/hfopenllm_v2/Aashraf995/Qwen-Evo-7B/8914d89d-c873-4704-998e-dc807e96030b.json
@@ -0,0 +1,132 @@
+{
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+  "evaluation_id": "hfopenllm_v2/Aashraf995_Qwen-Evo-7B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen-Evo-7B",
+    "id": "Aashraf995/Qwen-Evo-7B",
+    "developer": "Aashraf995",
+    "inference_platform": "unknown",
+    "additional_details": {
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+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
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+        "lower_is_better": false,
+        "score_type": "continuous",
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+      "score_details": {
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+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5709
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
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+    {
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
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+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3255
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+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4541
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4462
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Aashraf995/QwenStock-14B/c2e9fc29-db07-4b49-a98a-084158831ac4.json b/data/hfopenllm_v2/Aashraf995/QwenStock-14B/c2e9fc29-db07-4b49-a98a-084158831ac4.json
new file mode 100644
index 000000000..2181091a7
--- /dev/null
+++ b/data/hfopenllm_v2/Aashraf995/QwenStock-14B/c2e9fc29-db07-4b49-a98a-084158831ac4.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Aashraf995_QwenStock-14B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "QwenStock-14B",
+    "id": "Aashraf995/QwenStock-14B",
+    "developer": "Aashraf995",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.766
+    }
+  },
+  "evaluation_results": [
+    {
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+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
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+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5009
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.655
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
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+        "max_score": 1.0
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+        "lower_is_better": false,
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+      },
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+      }
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4793
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+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/AbacusResearch/Jallabi-34B/58724539-6fc5-40d9-ba43-87410959894d.json b/data/hfopenllm_v2/AbacusResearch/Jallabi-34B/58724539-6fc5-40d9-ba43-87410959894d.json
new file mode 100644
index 000000000..51b7d1999
--- /dev/null
+++ b/data/hfopenllm_v2/AbacusResearch/Jallabi-34B/58724539-6fc5-40d9-ba43-87410959894d.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/AbacusResearch_Jallabi-34B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Jallabi-34B",
+    "id": "AbacusResearch/Jallabi-34B",
+    "developer": "AbacusResearch",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 34.389
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
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+        "source_type": "hf_dataset",
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+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6023
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0521
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3389
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4822
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4682
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/AbacusResearch/Jallabi-34B/76397277-901a-4ad0-9dae-0351ca875ec6.json b/data/hfopenllm_v2/AbacusResearch/Jallabi-34B/76397277-901a-4ad0-9dae-0351ca875ec6.json
deleted file mode 100644
index 2f471d1fc..000000000
--- a/data/hfopenllm_v2/AbacusResearch/Jallabi-34B/76397277-901a-4ad0-9dae-0351ca875ec6.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/AbacusResearch_Jallabi-34B/1762652579.477037",
-  "retrieved_timestamp": "1762652579.4770381",
-  "source_data": [
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-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "AbacusResearch/Jallabi-34B",
-    "developer": "AbacusResearch",
-    "inference_platform": "unknown",
-    "id": "AbacusResearch/Jallabi-34B",
-    "additional_details": {
-      "precision": "float16",
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-      "params_billions": 34.389
-    }
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-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-        "score_type": "continuous",
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-      "score_details": {
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-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Ahdoot/StructuredThinker-v0.3-MoreStructure/81a5aafb-2cf7-490d-b619-ce638fcc8b38.json b/data/hfopenllm_v2/Ahdoot/StructuredThinker-v0.3-MoreStructure/81a5aafb-2cf7-490d-b619-ce638fcc8b38.json
deleted file mode 100644
index 720216ee7..000000000
--- a/data/hfopenllm_v2/Ahdoot/StructuredThinker-v0.3-MoreStructure/81a5aafb-2cf7-490d-b619-ce638fcc8b38.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Ahdoot_StructuredThinker-v0.3-MoreStructure/1762652579.4772868",
-  "retrieved_timestamp": "1762652579.477288",
-  "source_data": [
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-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Ahdoot/StructuredThinker-v0.3-MoreStructure",
-    "developer": "Ahdoot",
-    "inference_platform": "unknown",
-    "id": "Ahdoot/StructuredThinker-v0.3-MoreStructure",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 3.397
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
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-    },
-    {
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-        "evaluation_description": "Accuracy on MUSR",
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Ahdoot/StructuredThinker-v0.3-MoreStructure/b13324cf-f6f5-4bf1-9cf3-c196120c4bcf.json b/data/hfopenllm_v2/Ahdoot/StructuredThinker-v0.3-MoreStructure/b13324cf-f6f5-4bf1-9cf3-c196120c4bcf.json
new file mode 100644
index 000000000..a962961f2
--- /dev/null
+++ b/data/hfopenllm_v2/Ahdoot/StructuredThinker-v0.3-MoreStructure/b13324cf-f6f5-4bf1-9cf3-c196120c4bcf.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Ahdoot_StructuredThinker-v0.3-MoreStructure/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "StructuredThinker-v0.3-MoreStructure",
+    "id": "Ahdoot/StructuredThinker-v0.3-MoreStructure",
+    "developer": "Ahdoot",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 3.397
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4193
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4838
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2908
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.297
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4158
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+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.361
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Ahdoot/Test_StealthThinker/43c907eb-3e43-47ff-b38d-f912ba6ef46c.json b/data/hfopenllm_v2/Ahdoot/Test_StealthThinker/43c907eb-3e43-47ff-b38d-f912ba6ef46c.json
deleted file mode 100644
index 5f94888cd..000000000
--- a/data/hfopenllm_v2/Ahdoot/Test_StealthThinker/43c907eb-3e43-47ff-b38d-f912ba6ef46c.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Ahdoot/Test_StealthThinker",
-    "developer": "Ahdoot",
-    "inference_platform": "unknown",
-    "id": "Ahdoot/Test_StealthThinker",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 3.086
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-  "evaluation_results": [
-    {
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42200361706937595
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-    {
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-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
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-    {
-      "evaluation_name": "MATH Level 5",
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-        "lower_is_better": false,
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-    },
-    {
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-    {
-      "evaluation_name": "MMLU-PRO",
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-        "max_score": 1
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-        "score": 0.35970744680851063
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Ahdoot/Test_StealthThinker/782b2df0-d1b3-414c-a4bd-59052a4441a9.json b/data/hfopenllm_v2/Ahdoot/Test_StealthThinker/782b2df0-d1b3-414c-a4bd-59052a4441a9.json
new file mode 100644
index 000000000..717c7bcb8
--- /dev/null
+++ b/data/hfopenllm_v2/Ahdoot/Test_StealthThinker/782b2df0-d1b3-414c-a4bd-59052a4441a9.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Ahdoot_Test_StealthThinker/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Test_StealthThinker",
+    "id": "Ahdoot/Test_StealthThinker",
+    "developer": "Ahdoot",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 3.086
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.422
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+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4647
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+        "score": 0.179
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+    {
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+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+        "score": 0.2961
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+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.428
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+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+        "score": 0.3597
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/AicoresSecurity/Cybernet-Sec-3B-R1-V0-Coder/48732edf-8baf-438e-8a5c-763eee6c0c18.json b/data/hfopenllm_v2/AicoresSecurity/Cybernet-Sec-3B-R1-V0-Coder/48732edf-8baf-438e-8a5c-763eee6c0c18.json
deleted file mode 100644
index ed2a26d4f..000000000
--- a/data/hfopenllm_v2/AicoresSecurity/Cybernet-Sec-3B-R1-V0-Coder/48732edf-8baf-438e-8a5c-763eee6c0c18.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/AicoresSecurity_Cybernet-Sec-3B-R1-V0-Coder/1762652579.478028",
-  "retrieved_timestamp": "1762652579.478029",
-  "source_data": [
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-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "AicoresSecurity/Cybernet-Sec-3B-R1-V0-Coder",
-    "developer": "AicoresSecurity",
-    "inference_platform": "unknown",
-    "id": "AicoresSecurity/Cybernet-Sec-3B-R1-V0-Coder",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 3.213
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-  "evaluation_results": [
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-      "evaluation_name": "IFEval",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "evaluation_name": "GPQA",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
-        "score": 0.27181208053691275
-      }
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-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.34079166666666666
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3178191489361702
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/AicoresSecurity/Cybernet-Sec-3B-R1-V0-Coder/b508e41e-0f1c-49ce-8b80-5e7ec82b8f15.json b/data/hfopenllm_v2/AicoresSecurity/Cybernet-Sec-3B-R1-V0-Coder/b508e41e-0f1c-49ce-8b80-5e7ec82b8f15.json
new file mode 100644
index 000000000..8c4cb6a4c
--- /dev/null
+++ b/data/hfopenllm_v2/AicoresSecurity/Cybernet-Sec-3B-R1-V0-Coder/b508e41e-0f1c-49ce-8b80-5e7ec82b8f15.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/AicoresSecurity_Cybernet-Sec-3B-R1-V0-Coder/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Cybernet-Sec-3B-R1-V0-Coder",
+    "id": "AicoresSecurity/Cybernet-Sec-3B-R1-V0-Coder",
+    "developer": "AicoresSecurity",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 3.213
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7098
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4478
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1488
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2718
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3408
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3178
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/AicoresSecurity/Cybernet-Sec-3B-R1-V0/2824e8d4-2749-4b18-a3a1-b987ed215ac6.json b/data/hfopenllm_v2/AicoresSecurity/Cybernet-Sec-3B-R1-V0/2824e8d4-2749-4b18-a3a1-b987ed215ac6.json
new file mode 100644
index 000000000..5acadd460
--- /dev/null
+++ b/data/hfopenllm_v2/AicoresSecurity/Cybernet-Sec-3B-R1-V0/2824e8d4-2749-4b18-a3a1-b987ed215ac6.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/AicoresSecurity_Cybernet-Sec-3B-R1-V0/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Cybernet-Sec-3B-R1-V0",
+    "id": "AicoresSecurity/Cybernet-Sec-3B-R1-V0",
+    "developer": "AicoresSecurity",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 3.213
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6358
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4497
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1156
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2634
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3314
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.301
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/AicoresSecurity/Cybernet-Sec-3B-R1-V0/38f169f0-e939-4b12-8f78-b2a27fb90de0.json b/data/hfopenllm_v2/AicoresSecurity/Cybernet-Sec-3B-R1-V0/38f169f0-e939-4b12-8f78-b2a27fb90de0.json
deleted file mode 100644
index 134a985bb..000000000
--- a/data/hfopenllm_v2/AicoresSecurity/Cybernet-Sec-3B-R1-V0/38f169f0-e939-4b12-8f78-b2a27fb90de0.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/AicoresSecurity_Cybernet-Sec-3B-R1-V0/1762652579.4777558",
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-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
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-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "AicoresSecurity/Cybernet-Sec-3B-R1-V0",
-    "developer": "AicoresSecurity",
-    "inference_platform": "unknown",
-    "id": "AicoresSecurity/Cybernet-Sec-3B-R1-V0",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 3.213
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-  },
-  "evaluation_results": [
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-      "evaluation_name": "IFEval",
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6358018945287394
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
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-        "min_score": 0,
-        "max_score": 1
-      },
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
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-        "score": 0.11555891238670694
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2634228187919463
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.33136458333333335
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.301030585106383
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/AicoresSecurity/Cybernet-Sec-3B-R1-V1.1/53176984-ba93-4a64-b81e-21f6e0f65bcd.json b/data/hfopenllm_v2/AicoresSecurity/Cybernet-Sec-3B-R1-V1.1/53176984-ba93-4a64-b81e-21f6e0f65bcd.json
new file mode 100644
index 000000000..6634b986e
--- /dev/null
+++ b/data/hfopenllm_v2/AicoresSecurity/Cybernet-Sec-3B-R1-V1.1/53176984-ba93-4a64-b81e-21f6e0f65bcd.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/AicoresSecurity_Cybernet-Sec-3B-R1-V1.1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Cybernet-Sec-3B-R1-V1.1",
+    "id": "AicoresSecurity/Cybernet-Sec-3B-R1-V1.1",
+    "developer": "AicoresSecurity",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 3.213
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.673
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+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4392
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.176
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+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.271
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3541
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3088
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/AicoresSecurity/Cybernet-Sec-3B-R1-V1.1/e8c63728-a1f5-432f-bf9f-204b0f4041aa.json b/data/hfopenllm_v2/AicoresSecurity/Cybernet-Sec-3B-R1-V1.1/e8c63728-a1f5-432f-bf9f-204b0f4041aa.json
deleted file mode 100644
index 4bd0400b8..000000000
--- a/data/hfopenllm_v2/AicoresSecurity/Cybernet-Sec-3B-R1-V1.1/e8c63728-a1f5-432f-bf9f-204b0f4041aa.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/AicoresSecurity_Cybernet-Sec-3B-R1-V1.1/1762652579.478466",
-  "retrieved_timestamp": "1762652579.478467",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "AicoresSecurity/Cybernet-Sec-3B-R1-V1.1",
-    "developer": "AicoresSecurity",
-    "inference_platform": "unknown",
-    "id": "AicoresSecurity/Cybernet-Sec-3B-R1-V1.1",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 3.213
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6730209178313542
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4391775517124728
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2709731543624161
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.35409375000000004
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.308843085106383
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/AicoresSecurity/Cybernet-Sec-3B-R1-V1/53252698-7d17-4f2a-9106-3b744ae7a985.json b/data/hfopenllm_v2/AicoresSecurity/Cybernet-Sec-3B-R1-V1/53252698-7d17-4f2a-9106-3b744ae7a985.json
new file mode 100644
index 000000000..0a69dcaf4
--- /dev/null
+++ b/data/hfopenllm_v2/AicoresSecurity/Cybernet-Sec-3B-R1-V1/53252698-7d17-4f2a-9106-3b744ae7a985.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/AicoresSecurity_Cybernet-Sec-3B-R1-V1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Cybernet-Sec-3B-R1-V1",
+    "id": "AicoresSecurity/Cybernet-Sec-3B-R1-V1",
+    "developer": "AicoresSecurity",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 3.213
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6146
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4282
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1518
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2609
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3287
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2876
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/AicoresSecurity/Cybernet-Sec-3B-R1-V1/b613ecbe-7b2b-4b03-ab2c-163f9988a8fc.json b/data/hfopenllm_v2/AicoresSecurity/Cybernet-Sec-3B-R1-V1/b613ecbe-7b2b-4b03-ab2c-163f9988a8fc.json
deleted file mode 100644
index 7c9561532..000000000
--- a/data/hfopenllm_v2/AicoresSecurity/Cybernet-Sec-3B-R1-V1/b613ecbe-7b2b-4b03-ab2c-163f9988a8fc.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/AicoresSecurity_Cybernet-Sec-3B-R1-V1/1762652579.478252",
-  "retrieved_timestamp": "1762652579.4782531",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "AicoresSecurity/Cybernet-Sec-3B-R1-V1",
-    "developer": "AicoresSecurity",
-    "inference_platform": "unknown",
-    "id": "AicoresSecurity/Cybernet-Sec-3B-R1-V1",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 3.213
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6145693426774292
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4282342020189216
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.15181268882175228
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2609060402684564
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.32869791666666665
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2876496010638298
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Alepach/notHumpback-M0/1a4477f7-c414-41ab-bbcb-593f4a86031a.json b/data/hfopenllm_v2/Alepach/notHumpback-M0/1a4477f7-c414-41ab-bbcb-593f4a86031a.json
deleted file mode 100644
index 3a7dd8faf..000000000
--- a/data/hfopenllm_v2/Alepach/notHumpback-M0/1a4477f7-c414-41ab-bbcb-593f4a86031a.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Alepach_notHumpback-M0/1762652579.4786859",
-  "retrieved_timestamp": "1762652579.478687",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Alepach/notHumpback-M0",
-    "developer": "Alepach",
-    "inference_platform": "unknown",
-    "id": "Alepach/notHumpback-M0",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 3.213
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.23500755772461512
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.27849287879199425
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.0188821752265861
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.24916107382550334
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.35523958333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1118683510638298
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Alepach/notHumpback-M0/6dd0f3a2-27ee-48f1-9d97-ef6954d298c8.json b/data/hfopenllm_v2/Alepach/notHumpback-M0/6dd0f3a2-27ee-48f1-9d97-ef6954d298c8.json
new file mode 100644
index 000000000..c2db43af7
--- /dev/null
+++ b/data/hfopenllm_v2/Alepach/notHumpback-M0/6dd0f3a2-27ee-48f1-9d97-ef6954d298c8.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Alepach_notHumpback-M0/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "notHumpback-M0",
+    "id": "Alepach/notHumpback-M0",
+    "developer": "Alepach",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 3.213
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.235
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2785
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0189
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2492
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3552
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1119
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Alepach/notHumpback-M1-v2/27c6c36d-6bd5-439b-bdc8-1bd0f8f4c9ea.json b/data/hfopenllm_v2/Alepach/notHumpback-M1-v2/27c6c36d-6bd5-439b-bdc8-1bd0f8f4c9ea.json
deleted file mode 100644
index 51f414a65..000000000
--- a/data/hfopenllm_v2/Alepach/notHumpback-M1-v2/27c6c36d-6bd5-439b-bdc8-1bd0f8f4c9ea.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Alepach_notHumpback-M1-v2/1762652579.4791439",
-  "retrieved_timestamp": "1762652579.479145",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
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diff --git a/data/hfopenllm_v2/Alepach/notHumpback-M1-v2/35f11d5e-88c4-4a95-8d06-a40bee648b00.json b/data/hfopenllm_v2/Alepach/notHumpback-M1-v2/35f11d5e-88c4-4a95-8d06-a40bee648b00.json
new file mode 100644
index 000000000..63b777f1c
--- /dev/null
+++ b/data/hfopenllm_v2/Alepach/notHumpback-M1-v2/35f11d5e-88c4-4a95-8d06-a40bee648b00.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Alepach_notHumpback-M1-v2/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "notHumpback-M1-v2",
+    "id": "Alepach/notHumpback-M1-v2",
+    "developer": "Alepach",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 3.213
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2277
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2776
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2601
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3473
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1119
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Alepach/notHumpback-M1/030f17b0-036f-4021-90da-6c1d38da659d.json b/data/hfopenllm_v2/Alepach/notHumpback-M1/030f17b0-036f-4021-90da-6c1d38da659d.json
deleted file mode 100644
index 2b0d336ba..000000000
--- a/data/hfopenllm_v2/Alepach/notHumpback-M1/030f17b0-036f-4021-90da-6c1d38da659d.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "source_data": [
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-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Alepach/notHumpback-M1",
-    "developer": "Alepach",
-    "inference_platform": "unknown",
-    "id": "Alepach/notHumpback-M1",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 3.213
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-    {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-        "lower_is_better": false,
-        "score_type": "continuous",
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-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.23741610738255034
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.342
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.10912566489361702
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Alepach/notHumpback-M1/ba1193c0-42b8-487d-b9fd-ddbc1fd15359.json b/data/hfopenllm_v2/Alepach/notHumpback-M1/ba1193c0-42b8-487d-b9fd-ddbc1fd15359.json
new file mode 100644
index 000000000..80d910c4c
--- /dev/null
+++ b/data/hfopenllm_v2/Alepach/notHumpback-M1/ba1193c0-42b8-487d-b9fd-ddbc1fd15359.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Alepach_notHumpback-M1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "notHumpback-M1",
+    "id": "Alepach/notHumpback-M1",
+    "developer": "Alepach",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 3.213
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2207
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2882
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0159
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2374
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.342
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1091
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Alibaba-NLP/gte-Qwen2-7B-instruct/39ea9329-5ed7-46ea-bcc4-30679a63b405.json b/data/hfopenllm_v2/Alibaba-NLP/gte-Qwen2-7B-instruct/39ea9329-5ed7-46ea-bcc4-30679a63b405.json
deleted file mode 100644
index 03f19aa78..000000000
--- a/data/hfopenllm_v2/Alibaba-NLP/gte-Qwen2-7B-instruct/39ea9329-5ed7-46ea-bcc4-30679a63b405.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/Alibaba-NLP_gte-Qwen2-7B-instruct/1762652579.479603",
-  "retrieved_timestamp": "1762652579.479604",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Alibaba-NLP/gte-Qwen2-7B-instruct",
-    "developer": "Alibaba-NLP",
-    "inference_platform": "unknown",
-    "id": "Alibaba-NLP/gte-Qwen2-7B-instruct",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.613
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.22554045488193547
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.06419939577039276
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.24496644295302014
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.35585416666666664
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.33211436170212766
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Alibaba-NLP/gte-Qwen2-7B-instruct/95733620-e1e7-4442-b9c3-a699165df5e7.json b/data/hfopenllm_v2/Alibaba-NLP/gte-Qwen2-7B-instruct/95733620-e1e7-4442-b9c3-a699165df5e7.json
new file mode 100644
index 000000000..2205af9c9
--- /dev/null
+++ b/data/hfopenllm_v2/Alibaba-NLP/gte-Qwen2-7B-instruct/95733620-e1e7-4442-b9c3-a699165df5e7.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Alibaba-NLP_gte-Qwen2-7B-instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "gte-Qwen2-7B-instruct",
+    "id": "Alibaba-NLP/gte-Qwen2-7B-instruct",
+    "developer": "Alibaba-NLP",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.613
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2255
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4495
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0642
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.245
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3559
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3321
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Alsebay/Qwen2.5-7B-test-novelist/cacfce0d-f5f1-4101-8065-f5f02eaab1fb.json b/data/hfopenllm_v2/Alsebay/Qwen2.5-7B-test-novelist/cacfce0d-f5f1-4101-8065-f5f02eaab1fb.json
new file mode 100644
index 000000000..ea8074956
--- /dev/null
+++ b/data/hfopenllm_v2/Alsebay/Qwen2.5-7B-test-novelist/cacfce0d-f5f1-4101-8065-f5f02eaab1fb.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Alsebay_Qwen2.5-7B-test-novelist/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-7B-test-novelist",
+    "id": "Alsebay/Qwen2.5-7B-test-novelist",
+    "developer": "Alsebay",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5352
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5151
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2349
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2911
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4749
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3866
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Amaorynho/BBAI2006/72be5537-198a-43e9-9840-a803083158d3.json b/data/hfopenllm_v2/Amaorynho/BBAI2006/72be5537-198a-43e9-9840-a803083158d3.json
new file mode 100644
index 000000000..0d3a4cdd2
--- /dev/null
+++ b/data/hfopenllm_v2/Amaorynho/BBAI2006/72be5537-198a-43e9-9840-a803083158d3.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Amaorynho_BBAI2006/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "BBAI2006",
+    "id": "Amaorynho/BBAI2006",
+    "developer": "Amaorynho",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 1.09
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1467
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2704
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2525
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3605
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1123
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Amaorynho/BBAI2006/ef37c096-a089-4d3e-9fad-c0f959a18bb3.json b/data/hfopenllm_v2/Amaorynho/BBAI2006/ef37c096-a089-4d3e-9fad-c0f959a18bb3.json
deleted file mode 100644
index 5a16e6985..000000000
--- a/data/hfopenllm_v2/Amaorynho/BBAI2006/ef37c096-a089-4d3e-9fad-c0f959a18bb3.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Amaorynho_BBAI2006/1762652579.480136",
-  "retrieved_timestamp": "1762652579.4801369",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Amaorynho/BBAI2006",
-    "developer": "Amaorynho",
-    "inference_platform": "unknown",
-    "id": "Amaorynho/BBAI2006",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 1.09
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.14670518668244703
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2704366990167133
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.0
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2525167785234899
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3605416666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11228390957446809
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Amaorynho/BBAI270V4/183313de-d526-42a9-a35d-a4e71466e546.json b/data/hfopenllm_v2/Amaorynho/BBAI270V4/183313de-d526-42a9-a35d-a4e71466e546.json
deleted file mode 100644
index c71c7a534..000000000
--- a/data/hfopenllm_v2/Amaorynho/BBAI270V4/183313de-d526-42a9-a35d-a4e71466e546.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Amaorynho_BBAI270V4/1762652579.4803882",
-  "retrieved_timestamp": "1762652579.4803882",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Amaorynho/BBAI270V4",
-    "developer": "Amaorynho",
-    "inference_platform": "unknown",
-    "id": "Amaorynho/BBAI270V4",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.616
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1990374428737971
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30712046736502824
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
-        "score": 0.008308157099697885
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
-        "score": 0.24580536912751677
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.33139583333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11136968085106383
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Amaorynho/BBAI270V4/2e9a3443-970d-4f37-a356-277a11c81754.json b/data/hfopenllm_v2/Amaorynho/BBAI270V4/2e9a3443-970d-4f37-a356-277a11c81754.json
new file mode 100644
index 000000000..2399e7c15
--- /dev/null
+++ b/data/hfopenllm_v2/Amaorynho/BBAI270V4/2e9a3443-970d-4f37-a356-277a11c81754.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Amaorynho_BBAI270V4/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "BBAI270V4",
+    "id": "Amaorynho/BBAI270V4",
+    "developer": "Amaorynho",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.199
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3071
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0083
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2458
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3314
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1114
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Amaorynho/BBAIIFEV1/1188402f-aa1c-4306-b031-c92ff0a5dd64.json b/data/hfopenllm_v2/Amaorynho/BBAIIFEV1/1188402f-aa1c-4306-b031-c92ff0a5dd64.json
new file mode 100644
index 000000000..1e9f99354
--- /dev/null
+++ b/data/hfopenllm_v2/Amaorynho/BBAIIFEV1/1188402f-aa1c-4306-b031-c92ff0a5dd64.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Amaorynho_BBAIIFEV1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "BBAIIFEV1",
+    "id": "Amaorynho/BBAIIFEV1",
+    "developer": "Amaorynho",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.8047
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5292
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1934
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3104
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4185
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3857
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Amaorynho/BBAIIFEV1/7c0342a3-5bd4-47b0-b238-d5dcb0f6236e.json b/data/hfopenllm_v2/Amaorynho/BBAIIFEV1/7c0342a3-5bd4-47b0-b238-d5dcb0f6236e.json
deleted file mode 100644
index 3327e5433..000000000
--- a/data/hfopenllm_v2/Amaorynho/BBAIIFEV1/7c0342a3-5bd4-47b0-b238-d5dcb0f6236e.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Amaorynho_BBAIIFEV1/1762652579.480599",
-  "retrieved_timestamp": "1762652579.4806",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Amaorynho/BBAIIFEV1",
-    "developer": "Amaorynho",
-    "inference_platform": "unknown",
-    "id": "Amaorynho/BBAIIFEV1",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.8047369867507104
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5292462038560509
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1933534743202417
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3104026845637584
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4184895833333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3857214095744681
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Amaorynho/BBAI_375/ad4b6e40-883c-47c5-ba33-6c112c2c6b09.json b/data/hfopenllm_v2/Amaorynho/BBAI_375/ad4b6e40-883c-47c5-ba33-6c112c2c6b09.json
deleted file mode 100644
index 9a38e99d5..000000000
--- a/data/hfopenllm_v2/Amaorynho/BBAI_375/ad4b6e40-883c-47c5-ba33-6c112c2c6b09.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Amaorynho_BBAI_375/1762652579.480799",
-  "retrieved_timestamp": "1762652579.480799",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Amaorynho/BBAI_375",
-    "developer": "Amaorynho",
-    "inference_platform": "unknown",
-    "id": "Amaorynho/BBAI_375",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 1.09
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2704366990167133
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.0
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2525167785234899
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3605416666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11228390957446809
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Amaorynho/BBAI_375/ee2f567a-6403-46d5-9a6b-bd029f81d660.json b/data/hfopenllm_v2/Amaorynho/BBAI_375/ee2f567a-6403-46d5-9a6b-bd029f81d660.json
new file mode 100644
index 000000000..e92063a97
--- /dev/null
+++ b/data/hfopenllm_v2/Amaorynho/BBAI_375/ee2f567a-6403-46d5-9a6b-bd029f81d660.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Amaorynho_BBAI_375/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "BBAI_375",
+    "id": "Amaorynho/BBAI_375",
+    "developer": "Amaorynho",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 1.09
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1467
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2704
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2525
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3605
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1123
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Amu/t1-1.5B/3e967795-680c-4bfc-906b-eadb969cf2bd.json b/data/hfopenllm_v2/Amu/t1-1.5B/3e967795-680c-4bfc-906b-eadb969cf2bd.json
deleted file mode 100644
index 09ea5d0e5..000000000
--- a/data/hfopenllm_v2/Amu/t1-1.5B/3e967795-680c-4bfc-906b-eadb969cf2bd.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Amu_t1-1.5B/1762652579.481014",
-  "retrieved_timestamp": "1762652579.481015",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Amu/t1-1.5B",
-    "developer": "Amu",
-    "inference_platform": "unknown",
-    "id": "Amu/t1-1.5B",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 1.777
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-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3393717558300864
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4007606984109216
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.0513595166163142
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.24328859060402686
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2566489361702128
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-  ]
-}
diff --git a/data/hfopenllm_v2/Amu/t1-1.5B/d809fdff-f5ff-44f5-afc7-7e8af9ce2f93.json b/data/hfopenllm_v2/Amu/t1-1.5B/d809fdff-f5ff-44f5-afc7-7e8af9ce2f93.json
new file mode 100644
index 000000000..c7e1777b9
--- /dev/null
+++ b/data/hfopenllm_v2/Amu/t1-1.5B/d809fdff-f5ff-44f5-afc7-7e8af9ce2f93.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Amu_t1-1.5B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "t1-1.5B",
+    "id": "Amu/t1-1.5B",
+    "developer": "Amu",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 1.777
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3394
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4008
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0514
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2433
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3517
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2566
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Amu/t1-3B/87d66efc-173f-4c14-b76c-d8b7e00d575d.json b/data/hfopenllm_v2/Amu/t1-3B/87d66efc-173f-4c14-b76c-d8b7e00d575d.json
new file mode 100644
index 000000000..8c8a648ec
--- /dev/null
+++ b/data/hfopenllm_v2/Amu/t1-3B/87d66efc-173f-4c14-b76c-d8b7e00d575d.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Amu_t1-3B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "t1-3B",
+    "id": "Amu/t1-3B",
+    "developer": "Amu",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 3.397
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3328
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3999
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1375
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2408
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3435
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1284
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Amu/t1-3B/c0b7e3e6-4160-4482-af4f-038ae79c7578.json b/data/hfopenllm_v2/Amu/t1-3B/c0b7e3e6-4160-4482-af4f-038ae79c7578.json
deleted file mode 100644
index 4a27d3c46..000000000
--- a/data/hfopenllm_v2/Amu/t1-3B/c0b7e3e6-4160-4482-af4f-038ae79c7578.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Amu_t1-3B/1762652579.481272",
-  "retrieved_timestamp": "1762652579.4812732",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Amu/t1-3B",
-    "developer": "Amu",
-    "inference_platform": "unknown",
-    "id": "Amu/t1-3B",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 3.397
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.33277703160946287
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.39989750143834385
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.13746223564954682
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2407718120805369
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.34348958333333335
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.12840757978723405
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/ArliAI/ArliAI-RPMax-12B-v1.1/47f62378-c3cc-408f-a0d1-71eb3f522f57.json b/data/hfopenllm_v2/ArliAI/ArliAI-RPMax-12B-v1.1/47f62378-c3cc-408f-a0d1-71eb3f522f57.json
new file mode 100644
index 000000000..6c27ae339
--- /dev/null
+++ b/data/hfopenllm_v2/ArliAI/ArliAI-RPMax-12B-v1.1/47f62378-c3cc-408f-a0d1-71eb3f522f57.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/ArliAI_ArliAI-RPMax-12B-v1.1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "ArliAI-RPMax-12B-v1.1",
+    "id": "ArliAI/ArliAI-RPMax-12B-v1.1",
+    "developer": "ArliAI",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 12.248
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5349
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4752
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1125
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2819
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3618
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3384
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/ArliAI/ArliAI-RPMax-12B-v1.1/63fc1679-8504-41a0-98d5-2d23aad57b81.json b/data/hfopenllm_v2/ArliAI/ArliAI-RPMax-12B-v1.1/63fc1679-8504-41a0-98d5-2d23aad57b81.json
deleted file mode 100644
index 3573938bf..000000000
--- a/data/hfopenllm_v2/ArliAI/ArliAI-RPMax-12B-v1.1/63fc1679-8504-41a0-98d5-2d23aad57b81.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/ArliAI_ArliAI-RPMax-12B-v1.1/1762652579.481497",
-  "retrieved_timestamp": "1762652579.481498",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "ArliAI/ArliAI-RPMax-12B-v1.1",
-    "developer": "ArliAI",
-    "inference_platform": "unknown",
-    "id": "ArliAI/ArliAI-RPMax-12B-v1.1",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 12.248
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5348852156721942
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.475181760840119
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11253776435045318
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.28187919463087246
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.36184375
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3384308510638298
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/ArliAI/Llama-3.1-8B-ArliAI-RPMax-v1.1/dba8c12c-388d-4f8b-8ce8-83acfc4920c7.json b/data/hfopenllm_v2/ArliAI/Llama-3.1-8B-ArliAI-RPMax-v1.1/dba8c12c-388d-4f8b-8ce8-83acfc4920c7.json
new file mode 100644
index 000000000..c8b199daf
--- /dev/null
+++ b/data/hfopenllm_v2/ArliAI/Llama-3.1-8B-ArliAI-RPMax-v1.1/dba8c12c-388d-4f8b-8ce8-83acfc4920c7.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/ArliAI_Llama-3.1-8B-ArliAI-RPMax-v1.1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-3.1-8B-ArliAI-RPMax-v1.1",
+    "id": "ArliAI/Llama-3.1-8B-ArliAI-RPMax-v1.1",
+    "developer": "ArliAI",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
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+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6359
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5016
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1314
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2836
+      }
+    },
+    {
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+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+    },
+    {
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+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3551
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Arthur-LAGACHERIE/Precis-1B-Instruct/d93c70b5-cb3b-4647-aa47-15c2401f5ebf.json b/data/hfopenllm_v2/Arthur-LAGACHERIE/Precis-1B-Instruct/d93c70b5-cb3b-4647-aa47-15c2401f5ebf.json
deleted file mode 100644
index 46a118b27..000000000
--- a/data/hfopenllm_v2/Arthur-LAGACHERIE/Precis-1B-Instruct/d93c70b5-cb3b-4647-aa47-15c2401f5ebf.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
-    "name": "Arthur-LAGACHERIE/Precis-1B-Instruct",
-    "developer": "Arthur-LAGACHERIE",
-    "inference_platform": "unknown",
-    "id": "Arthur-LAGACHERIE/Precis-1B-Instruct",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 1.236
-    }
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-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-        "lower_is_better": false,
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-        "lower_is_better": false,
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-}
diff --git a/data/hfopenllm_v2/Arthur-LAGACHERIE/Precis-1B-Instruct/e4087285-1d1a-465e-ac88-91310e939710.json b/data/hfopenllm_v2/Arthur-LAGACHERIE/Precis-1B-Instruct/e4087285-1d1a-465e-ac88-91310e939710.json
new file mode 100644
index 000000000..d6fc53fc3
--- /dev/null
+++ b/data/hfopenllm_v2/Arthur-LAGACHERIE/Precis-1B-Instruct/e4087285-1d1a-465e-ac88-91310e939710.json
@@ -0,0 +1,132 @@
+{
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+  "evaluation_id": "hfopenllm_v2/Arthur-LAGACHERIE_Precis-1B-Instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Precis-1B-Instruct",
+    "id": "Arthur-LAGACHERIE/Precis-1B-Instruct",
+    "developer": "Arthur-LAGACHERIE",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 1.236
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3671
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3224
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0038
+      }
+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2659
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3436
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1426
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Artples/L-MChat-7b/09f189d9-74fd-47bb-b5fb-7994cba56ae2.json b/data/hfopenllm_v2/Artples/L-MChat-7b/09f189d9-74fd-47bb-b5fb-7994cba56ae2.json
new file mode 100644
index 000000000..68e074cae
--- /dev/null
+++ b/data/hfopenllm_v2/Artples/L-MChat-7b/09f189d9-74fd-47bb-b5fb-7994cba56ae2.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Artples_L-MChat-7b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "L-MChat-7b",
+    "id": "Artples/L-MChat-7b",
+    "developer": "Artples",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5297
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.46
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0921
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3054
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4029
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3299
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Artples/L-MChat-7b/7aeaf034-1c02-4da7-b7b4-9a27ce759601.json b/data/hfopenllm_v2/Artples/L-MChat-7b/7aeaf034-1c02-4da7-b7b4-9a27ce759601.json
deleted file mode 100644
index a1f4d092e..000000000
--- a/data/hfopenllm_v2/Artples/L-MChat-7b/7aeaf034-1c02-4da7-b7b4-9a27ce759601.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/Artples_L-MChat-7b/1762652579.482251",
-  "retrieved_timestamp": "1762652579.482251",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
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-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Artples/L-MChat-7b",
-    "developer": "Artples",
-    "inference_platform": "unknown",
-    "id": "Artples/L-MChat-7b",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
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-  },
-  "evaluation_results": [
-    {
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-        "score_type": "continuous",
-        "min_score": 0,
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-      },
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-    {
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-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-}
diff --git a/data/hfopenllm_v2/Artples/L-MChat-Small/0e5a84e3-b90f-4c20-ad58-4d1cf3517f28.json b/data/hfopenllm_v2/Artples/L-MChat-Small/0e5a84e3-b90f-4c20-ad58-4d1cf3517f28.json
deleted file mode 100644
index 64a06c784..000000000
--- a/data/hfopenllm_v2/Artples/L-MChat-Small/0e5a84e3-b90f-4c20-ad58-4d1cf3517f28.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Artples_L-MChat-Small/1762652579.4824991",
-  "retrieved_timestamp": "1762652579.4825",
-  "source_data": [
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-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Artples/L-MChat-Small",
-    "developer": "Artples",
-    "inference_platform": "unknown",
-    "id": "Artples/L-MChat-Small",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "PhiForCausalLM",
-      "params_billions": 2.78
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-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
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-        "score_type": "continuous",
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diff --git a/data/hfopenllm_v2/Artples/L-MChat-Small/5754c262-6ddf-4f54-9722-22ff20a8d76f.json b/data/hfopenllm_v2/Artples/L-MChat-Small/5754c262-6ddf-4f54-9722-22ff20a8d76f.json
new file mode 100644
index 000000000..fd60828c3
--- /dev/null
+++ b/data/hfopenllm_v2/Artples/L-MChat-Small/5754c262-6ddf-4f54-9722-22ff20a8d76f.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Artples_L-MChat-Small/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "L-MChat-Small",
+    "id": "Artples/L-MChat-Small",
+    "developer": "Artples",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "PhiForCausalLM",
+      "params_billions": 2.78
+    }
+  },
+  "evaluation_results": [
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+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+    },
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+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "max_score": 1.0
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+        "hf_repo": "Idavidrein/gpqa"
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+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
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+    },
+    {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Aryanne/QwentileSwap/cc1bd811-ec88-4514-8b47-4140ded4f03d.json b/data/hfopenllm_v2/Aryanne/QwentileSwap/cc1bd811-ec88-4514-8b47-4140ded4f03d.json
new file mode 100644
index 000000000..cd69fff0a
--- /dev/null
+++ b/data/hfopenllm_v2/Aryanne/QwentileSwap/cc1bd811-ec88-4514-8b47-4140ded4f03d.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Aryanne_QwentileSwap/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "QwentileSwap",
+    "id": "Aryanne/QwentileSwap",
+    "developer": "Aryanne",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 32.764
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7378
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7008
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
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+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
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+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Aryanne/SHBA/3f08155d-8551-4472-86fe-7988cd6df78b.json b/data/hfopenllm_v2/Aryanne/SHBA/3f08155d-8551-4472-86fe-7988cd6df78b.json
new file mode 100644
index 000000000..5001e5134
--- /dev/null
+++ b/data/hfopenllm_v2/Aryanne/SHBA/3f08155d-8551-4472-86fe-7988cd6df78b.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Aryanne_SHBA/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "SHBA",
+    "id": "Aryanne/SHBA",
+    "developer": "Aryanne",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
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+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5233
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "GPQA",
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
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+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Aryanne/SHBA/a1c56b87-d8d4-4570-9c33-b84dd066d92f.json b/data/hfopenllm_v2/Aryanne/SHBA/a1c56b87-d8d4-4570-9c33-b84dd066d92f.json
deleted file mode 100644
index 2db159ad2..000000000
--- a/data/hfopenllm_v2/Aryanne/SHBA/a1c56b87-d8d4-4570-9c33-b84dd066d92f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/Aryanne_SHBA/1762652579.482961",
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-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Aryanne/SHBA",
-    "developer": "Aryanne",
-    "inference_platform": "unknown",
-    "id": "Aryanne/SHBA",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7816560060639104
-      }
-    },
-    {
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-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5233174837035715
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
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-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3053691275167785
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41613541666666665
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Aryanne/SuperHeart/339e12fb-b4a4-4a4b-bb40-899b4ad833f9.json b/data/hfopenllm_v2/Aryanne/SuperHeart/339e12fb-b4a4-4a4b-bb40-899b4ad833f9.json
new file mode 100644
index 000000000..9df9c1198
--- /dev/null
+++ b/data/hfopenllm_v2/Aryanne/SuperHeart/339e12fb-b4a4-4a4b-bb40-899b4ad833f9.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Aryanne_SuperHeart/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "SuperHeart",
+    "id": "Aryanne/SuperHeart",
+    "developer": "Aryanne",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5192
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+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5215
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1563
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+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3012
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4436
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3912
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Aryanne/SuperHeart/c6fae489-9bf8-40e5-a602-1c6ce9000537.json b/data/hfopenllm_v2/Aryanne/SuperHeart/c6fae489-9bf8-40e5-a602-1c6ce9000537.json
deleted file mode 100644
index e22a523a0..000000000
--- a/data/hfopenllm_v2/Aryanne/SuperHeart/c6fae489-9bf8-40e5-a602-1c6ce9000537.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Aryanne_SuperHeart/1762652579.483199",
-  "retrieved_timestamp": "1762652579.4832",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Aryanne/SuperHeart",
-    "developer": "Aryanne",
-    "inference_platform": "unknown",
-    "id": "Aryanne/SuperHeart",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5192234382549413
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5215375046264326
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.15634441087613293
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3011744966442953
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.44357291666666665
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3912067819148936
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/AtAndDev/Qwen2.5-1.5B-continuous-learnt/4fd60e9c-5c90-492a-b24d-7ca6d1e91eae.json b/data/hfopenllm_v2/AtAndDev/Qwen2.5-1.5B-continuous-learnt/4fd60e9c-5c90-492a-b24d-7ca6d1e91eae.json
new file mode 100644
index 000000000..c1dcb320d
--- /dev/null
+++ b/data/hfopenllm_v2/AtAndDev/Qwen2.5-1.5B-continuous-learnt/4fd60e9c-5c90-492a-b24d-7ca6d1e91eae.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/AtAndDev_Qwen2.5-1.5B-continuous-learnt/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-1.5B-continuous-learnt",
+    "id": "AtAndDev/Qwen2.5-1.5B-continuous-learnt",
+    "developer": "AtAndDev",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 1.544
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4605
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4258
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0748
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2659
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3636
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2812
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/AtAndDev/Qwen2.5-1.5B-continuous-learnt/7f8d935e-3782-4769-8bd0-ee8a0ce91cd6.json b/data/hfopenllm_v2/AtAndDev/Qwen2.5-1.5B-continuous-learnt/7f8d935e-3782-4769-8bd0-ee8a0ce91cd6.json
new file mode 100644
index 000000000..cd9fc36f7
--- /dev/null
+++ b/data/hfopenllm_v2/AtAndDev/Qwen2.5-1.5B-continuous-learnt/7f8d935e-3782-4769-8bd0-ee8a0ce91cd6.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/AtAndDev_Qwen2.5-1.5B-continuous-learnt/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-1.5B-continuous-learnt",
+    "id": "AtAndDev/Qwen2.5-1.5B-continuous-learnt",
+    "developer": "AtAndDev",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 1.544
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4511
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4275
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1473
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2701
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3623
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2806
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Ateron/Glowing-Forest-12B/13716fd0-049a-4e9a-90ca-af9db59c1703.json b/data/hfopenllm_v2/Ateron/Glowing-Forest-12B/13716fd0-049a-4e9a-90ca-af9db59c1703.json
deleted file mode 100644
index e2c0d2793..000000000
--- a/data/hfopenllm_v2/Ateron/Glowing-Forest-12B/13716fd0-049a-4e9a-90ca-af9db59c1703.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Ateron_Glowing-Forest-12B/1762652579.484101",
-  "retrieved_timestamp": "1762652579.4841018",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Ateron/Glowing-Forest-12B",
-    "developer": "Ateron",
-    "inference_platform": "unknown",
-    "id": "Ateron/Glowing-Forest-12B",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 12.248
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3591803082487799
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.549176294722067
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.07779456193353475
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.33305369127516776
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.44490625
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37175864361702127
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Ateron/Glowing-Forest-12B/6fa07e60-9f82-4abc-aa45-4dfc0bcf9b8d.json b/data/hfopenllm_v2/Ateron/Glowing-Forest-12B/6fa07e60-9f82-4abc-aa45-4dfc0bcf9b8d.json
new file mode 100644
index 000000000..d15a6561f
--- /dev/null
+++ b/data/hfopenllm_v2/Ateron/Glowing-Forest-12B/6fa07e60-9f82-4abc-aa45-4dfc0bcf9b8d.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Ateron_Glowing-Forest-12B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Glowing-Forest-12B",
+    "id": "Ateron/Glowing-Forest-12B",
+    "developer": "Ateron",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 12.248
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3592
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5492
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0778
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3331
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4449
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3718
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Ateron/Lotus-Magpic/99a0022b-3fe7-4612-9cbb-cf082c1f6b70.json b/data/hfopenllm_v2/Ateron/Lotus-Magpic/99a0022b-3fe7-4612-9cbb-cf082c1f6b70.json
new file mode 100644
index 000000000..63c101443
--- /dev/null
+++ b/data/hfopenllm_v2/Ateron/Lotus-Magpic/99a0022b-3fe7-4612-9cbb-cf082c1f6b70.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Ateron_Lotus-Magpic/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Lotus-Magpic",
+    "id": "Ateron/Lotus-Magpic",
+    "developer": "Ateron",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 12.248
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6286
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5254
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0997
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3029
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4332
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3491
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Ateron/Lotus-Magpic/bedab846-a6b2-4c51-9690-27deb7a76fe7.json b/data/hfopenllm_v2/Ateron/Lotus-Magpic/bedab846-a6b2-4c51-9690-27deb7a76fe7.json
deleted file mode 100644
index f5e8c3acd..000000000
--- a/data/hfopenllm_v2/Ateron/Lotus-Magpic/bedab846-a6b2-4c51-9690-27deb7a76fe7.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Ateron_Lotus-Magpic/1762652579.484373",
-  "retrieved_timestamp": "1762652579.484374",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Ateron/Lotus-Magpic",
-    "developer": "Ateron",
-    "inference_platform": "unknown",
-    "id": "Ateron/Lotus-Magpic",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 12.248
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6286076499244228
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5253514950133299
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.09969788519637462
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3028523489932886
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4331875
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3490691489361702
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Ateron/Way_of_MagPicaro/0a5e585d-1a90-4849-9df5-670a56b9f161.json b/data/hfopenllm_v2/Ateron/Way_of_MagPicaro/0a5e585d-1a90-4849-9df5-670a56b9f161.json
deleted file mode 100644
index 4c7e73273..000000000
--- a/data/hfopenllm_v2/Ateron/Way_of_MagPicaro/0a5e585d-1a90-4849-9df5-670a56b9f161.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Ateron_Way_of_MagPicaro/1762652579.484595",
-  "retrieved_timestamp": "1762652579.484596",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Ateron/Way_of_MagPicaro",
-    "developer": "Ateron",
-    "inference_platform": "unknown",
-    "id": "Ateron/Way_of_MagPicaro",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 12.248
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2637091805298829
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5427386861946704
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.05891238670694864
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3338926174496644
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.46490625
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.35355718085106386
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Ateron/Way_of_MagPicaro/b1153714-d6fe-4ff9-ab8c-85b677d57f8f.json b/data/hfopenllm_v2/Ateron/Way_of_MagPicaro/b1153714-d6fe-4ff9-ab8c-85b677d57f8f.json
new file mode 100644
index 000000000..7a1c07042
--- /dev/null
+++ b/data/hfopenllm_v2/Ateron/Way_of_MagPicaro/b1153714-d6fe-4ff9-ab8c-85b677d57f8f.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Ateron_Way_of_MagPicaro/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Way_of_MagPicaro",
+    "id": "Ateron/Way_of_MagPicaro",
+    "developer": "Ateron",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 12.248
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2637
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5427
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0589
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3339
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4649
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3536
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/AuraIndustries/Aura-4B/5fe88e89-1055-4357-9394-004dd4635e58.json b/data/hfopenllm_v2/AuraIndustries/Aura-4B/5fe88e89-1055-4357-9394-004dd4635e58.json
deleted file mode 100644
index 85b1a7ec5..000000000
--- a/data/hfopenllm_v2/AuraIndustries/Aura-4B/5fe88e89-1055-4357-9394-004dd4635e58.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/AuraIndustries_Aura-4B/1762652579.484812",
-  "retrieved_timestamp": "1762652579.484813",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "AuraIndustries/Aura-4B",
-    "developer": "AuraIndustries",
-    "inference_platform": "unknown",
-    "id": "AuraIndustries/Aura-4B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 4.513
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.38156203318306536
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4490409465001946
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.04229607250755287
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.287751677852349
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.39384375
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.27061170212765956
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/AuraIndustries/Aura-4B/c3d39b6c-02af-410d-8a5c-224495b04572.json b/data/hfopenllm_v2/AuraIndustries/Aura-4B/c3d39b6c-02af-410d-8a5c-224495b04572.json
new file mode 100644
index 000000000..259ade02b
--- /dev/null
+++ b/data/hfopenllm_v2/AuraIndustries/Aura-4B/c3d39b6c-02af-410d-8a5c-224495b04572.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/AuraIndustries_Aura-4B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Aura-4B",
+    "id": "AuraIndustries/Aura-4B",
+    "developer": "AuraIndustries",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 4.513
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3816
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.449
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0423
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2878
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3938
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2706
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/AuraIndustries/Aura-8B/0426fcba-3db4-492d-b622-e34ab8d3fc8f.json b/data/hfopenllm_v2/AuraIndustries/Aura-8B/0426fcba-3db4-492d-b622-e34ab8d3fc8f.json
new file mode 100644
index 000000000..2bec15124
--- /dev/null
+++ b/data/hfopenllm_v2/AuraIndustries/Aura-8B/0426fcba-3db4-492d-b622-e34ab8d3fc8f.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/AuraIndustries_Aura-8B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Aura-8B",
+    "id": "AuraIndustries/Aura-8B",
+    "developer": "AuraIndustries",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7205
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5131
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1518
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2861
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4004
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3874
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/AuraIndustries/Aura-8B/39e029ad-b385-4b26-9a02-b40c90cd8ad8.json b/data/hfopenllm_v2/AuraIndustries/Aura-8B/39e029ad-b385-4b26-9a02-b40c90cd8ad8.json
deleted file mode 100644
index 125321046..000000000
--- a/data/hfopenllm_v2/AuraIndustries/Aura-8B/39e029ad-b385-4b26-9a02-b40c90cd8ad8.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/AuraIndustries_Aura-8B/1762652579.485057",
-  "retrieved_timestamp": "1762652579.485057",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "AuraIndustries/Aura-8B",
-    "developer": "AuraIndustries",
-    "inference_platform": "unknown",
-    "id": "AuraIndustries/Aura-8B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
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-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MUSR",
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-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4004479166666666
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.38738364361702127
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/AuraIndustries/Aura-MoE-2x4B-v2/3402882b-af4e-4509-9d57-32efa5d8c495.json b/data/hfopenllm_v2/AuraIndustries/Aura-MoE-2x4B-v2/3402882b-af4e-4509-9d57-32efa5d8c495.json
deleted file mode 100644
index 6c2a32b2a..000000000
--- a/data/hfopenllm_v2/AuraIndustries/Aura-MoE-2x4B-v2/3402882b-af4e-4509-9d57-32efa5d8c495.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/AuraIndustries_Aura-MoE-2x4B-v2/1762652579.4855082",
-  "retrieved_timestamp": "1762652579.4855092",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "AuraIndustries/Aura-MoE-2x4B-v2",
-    "developer": "AuraIndustries",
-    "inference_platform": "unknown",
-    "id": "AuraIndustries/Aura-MoE-2x4B-v2",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MixtralForCausalLM",
-      "params_billions": 7.231
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4777822843388875
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-    },
-    {
-      "evaluation_name": "BBH",
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-        "lower_is_better": false,
-        "score_type": "continuous",
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-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.287751677852349
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4100625
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2609707446808511
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/AuraIndustries/Aura-MoE-2x4B-v2/aa099cfe-ac9a-42dd-8357-f4d8115133ca.json b/data/hfopenllm_v2/AuraIndustries/Aura-MoE-2x4B-v2/aa099cfe-ac9a-42dd-8357-f4d8115133ca.json
new file mode 100644
index 000000000..2a673ad65
--- /dev/null
+++ b/data/hfopenllm_v2/AuraIndustries/Aura-MoE-2x4B-v2/aa099cfe-ac9a-42dd-8357-f4d8115133ca.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/AuraIndustries_Aura-MoE-2x4B-v2/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Aura-MoE-2x4B-v2",
+    "id": "AuraIndustries/Aura-MoE-2x4B-v2",
+    "developer": "AuraIndustries",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MixtralForCausalLM",
+      "params_billions": 7.231
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4778
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4315
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0317
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2878
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4101
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.261
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/AuraIndustries/Aura-MoE-2x4B/8239ffac-3fca-4eab-86d4-78bab22dc420.json b/data/hfopenllm_v2/AuraIndustries/Aura-MoE-2x4B/8239ffac-3fca-4eab-86d4-78bab22dc420.json
deleted file mode 100644
index a09085905..000000000
--- a/data/hfopenllm_v2/AuraIndustries/Aura-MoE-2x4B/8239ffac-3fca-4eab-86d4-78bab22dc420.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/AuraIndustries_Aura-MoE-2x4B/1762652579.48526",
-  "retrieved_timestamp": "1762652579.485261",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "AuraIndustries/Aura-MoE-2x4B",
-    "developer": "AuraIndustries",
-    "inference_platform": "unknown",
-    "id": "AuraIndustries/Aura-MoE-2x4B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MixtralForCausalLM",
-      "params_billions": 7.231
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-  },
-  "evaluation_results": [
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-        "lower_is_better": false,
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-        "min_score": 0,
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-    },
-    {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-        "min_score": 0,
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diff --git a/data/hfopenllm_v2/AuraIndustries/Aura-MoE-2x4B/ccbc8a5e-9a97-452a-b023-cc996ffe31f1.json b/data/hfopenllm_v2/AuraIndustries/Aura-MoE-2x4B/ccbc8a5e-9a97-452a-b023-cc996ffe31f1.json
new file mode 100644
index 000000000..460a41061
--- /dev/null
+++ b/data/hfopenllm_v2/AuraIndustries/Aura-MoE-2x4B/ccbc8a5e-9a97-452a-b023-cc996ffe31f1.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/AuraIndustries_Aura-MoE-2x4B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Aura-MoE-2x4B",
+    "id": "AuraIndustries/Aura-MoE-2x4B",
+    "developer": "AuraIndustries",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MixtralForCausalLM",
+      "params_billions": 7.231
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4601
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4339
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.031
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2718
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4085
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.265
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Aurel9/testmerge-7b/b359a7a3-cf2c-4952-b308-333672dadcec.json b/data/hfopenllm_v2/Aurel9/testmerge-7b/b359a7a3-cf2c-4952-b308-333672dadcec.json
new file mode 100644
index 000000000..a8574b05b
--- /dev/null
+++ b/data/hfopenllm_v2/Aurel9/testmerge-7b/b359a7a3-cf2c-4952-b308-333672dadcec.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Aurel9_testmerge-7b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "testmerge-7b",
+    "id": "Aurel9/testmerge-7b",
+    "developer": "Aurel9",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.398
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.519
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0657
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3003
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4659
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3053
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Aurel9/testmerge-7b/eb45737a-74bc-482d-9d7f-d2bd1d876c77.json b/data/hfopenllm_v2/Aurel9/testmerge-7b/eb45737a-74bc-482d-9d7f-d2bd1d876c77.json
deleted file mode 100644
index 320228d2b..000000000
--- a/data/hfopenllm_v2/Aurel9/testmerge-7b/eb45737a-74bc-482d-9d7f-d2bd1d876c77.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Aurel9_testmerge-7b/1762652579.485724",
-  "retrieved_timestamp": "1762652579.485725",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Aurel9/testmerge-7b",
-    "developer": "Aurel9",
-    "inference_platform": "unknown",
-    "id": "Aurel9/testmerge-7b",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
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-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30033557046979864
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4658645833333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3052692819148936
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Ayush-Singh/Llama1B-sft-2/0864d5cf-d6fe-42bc-9059-9f2e5ff06b60.json b/data/hfopenllm_v2/Ayush-Singh/Llama1B-sft-2/0864d5cf-d6fe-42bc-9059-9f2e5ff06b60.json
new file mode 100644
index 000000000..cf11b9c2a
--- /dev/null
+++ b/data/hfopenllm_v2/Ayush-Singh/Llama1B-sft-2/0864d5cf-d6fe-42bc-9059-9f2e5ff06b60.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Ayush-Singh_Llama1B-sft-2/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama1B-sft-2",
+    "id": "Ayush-Singh/Llama1B-sft-2",
+    "developer": "Ayush-Singh",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 1.236
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1374
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2834
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2458
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3552
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1117
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Ayush-Singh/Llama1B-sft-2/678cad7f-854b-4dc3-91cc-2d1774ef7faf.json b/data/hfopenllm_v2/Ayush-Singh/Llama1B-sft-2/678cad7f-854b-4dc3-91cc-2d1774ef7faf.json
deleted file mode 100644
index 03fe5e627..000000000
--- a/data/hfopenllm_v2/Ayush-Singh/Llama1B-sft-2/678cad7f-854b-4dc3-91cc-2d1774ef7faf.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Ayush-Singh_Llama1B-sft-2/1762652579.4859679",
-  "retrieved_timestamp": "1762652579.4859688",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Ayush-Singh/Llama1B-sft-2",
-    "developer": "Ayush-Singh",
-    "inference_platform": "unknown",
-    "id": "Ayush-Singh/Llama1B-sft-2",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 1.236
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.13743755457741016
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.283428204214368
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.0
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.24580536912751677
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.35520833333333335
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11170212765957446
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Azure99/Blossom-V6-14B/24ce59a5-c351-4ed8-8944-8ec5db739da8.json b/data/hfopenllm_v2/Azure99/Blossom-V6-14B/24ce59a5-c351-4ed8-8944-8ec5db739da8.json
deleted file mode 100644
index 745e029dc..000000000
--- a/data/hfopenllm_v2/Azure99/Blossom-V6-14B/24ce59a5-c351-4ed8-8944-8ec5db739da8.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Azure99_Blossom-V6-14B/1762652579.486225",
-  "retrieved_timestamp": "1762652579.4862258",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Azure99/Blossom-V6-14B",
-    "developer": "Azure99",
-    "inference_platform": "unknown",
-    "id": "Azure99/Blossom-V6-14B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 14.77
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6395486198841297
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5068726694646123
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.525679758308157
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2625838926174497
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.40352083333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4543716755319149
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Azure99/Blossom-V6-14B/e6ef2559-8a63-43e3-a60b-0d2b7256ad3d.json b/data/hfopenllm_v2/Azure99/Blossom-V6-14B/e6ef2559-8a63-43e3-a60b-0d2b7256ad3d.json
new file mode 100644
index 000000000..374b26fce
--- /dev/null
+++ b/data/hfopenllm_v2/Azure99/Blossom-V6-14B/e6ef2559-8a63-43e3-a60b-0d2b7256ad3d.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Azure99_Blossom-V6-14B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Blossom-V6-14B",
+    "id": "Azure99/Blossom-V6-14B",
+    "developer": "Azure99",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.77
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6395
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5069
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5257
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2626
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4035
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4544
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Azure99/Blossom-V6-7B/35949fb3-8c01-45cf-b4db-bbe983b15ac6.json b/data/hfopenllm_v2/Azure99/Blossom-V6-7B/35949fb3-8c01-45cf-b4db-bbe983b15ac6.json
deleted file mode 100644
index ca27fc4fb..000000000
--- a/data/hfopenllm_v2/Azure99/Blossom-V6-7B/35949fb3-8c01-45cf-b4db-bbe983b15ac6.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Azure99_Blossom-V6-7B/1762652579.486468",
-  "retrieved_timestamp": "1762652579.486469",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Azure99/Blossom-V6-7B",
-    "developer": "Azure99",
-    "inference_platform": "unknown",
-    "id": "Azure99/Blossom-V6-7B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.616
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5538194213575536
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.49736683240887
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.45845921450151056
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30453020134228187
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.43009375
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41439494680851063
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Azure99/Blossom-V6-7B/45d019ab-b23c-4fc3-baf5-d57576e9945c.json b/data/hfopenllm_v2/Azure99/Blossom-V6-7B/45d019ab-b23c-4fc3-baf5-d57576e9945c.json
new file mode 100644
index 000000000..e807205a9
--- /dev/null
+++ b/data/hfopenllm_v2/Azure99/Blossom-V6-7B/45d019ab-b23c-4fc3-baf5-d57576e9945c.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Azure99_Blossom-V6-7B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Blossom-V6-7B",
+    "id": "Azure99/Blossom-V6-7B",
+    "developer": "Azure99",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5538
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4974
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4585
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3045
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4301
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4144
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Azure99/blossom-v5-32b/6adfe39d-f2c2-4101-8f0f-7496d55397cd.json b/data/hfopenllm_v2/Azure99/blossom-v5-32b/6adfe39d-f2c2-4101-8f0f-7496d55397cd.json
deleted file mode 100644
index f5a6cfb39..000000000
--- a/data/hfopenllm_v2/Azure99/blossom-v5-32b/6adfe39d-f2c2-4101-8f0f-7496d55397cd.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Azure99_blossom-v5-32b/1762652579.4866729",
-  "retrieved_timestamp": "1762652579.4866738",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Azure99/blossom-v5-32b",
-    "developer": "Azure99",
-    "inference_platform": "unknown",
-    "id": "Azure99/blossom-v5-32b",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 32.512
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5235441960664371
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5954545257004673
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1865558912386707
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.311241610738255
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.40199999999999997
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4234541223404255
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Azure99/blossom-v5-32b/e3cd7c32-e5a1-4cd6-a9dc-95364a8abe75.json b/data/hfopenllm_v2/Azure99/blossom-v5-32b/e3cd7c32-e5a1-4cd6-a9dc-95364a8abe75.json
new file mode 100644
index 000000000..c1499a18c
--- /dev/null
+++ b/data/hfopenllm_v2/Azure99/blossom-v5-32b/e3cd7c32-e5a1-4cd6-a9dc-95364a8abe75.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Azure99_blossom-v5-32b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "blossom-v5-32b",
+    "id": "Azure99/blossom-v5-32b",
+    "developer": "Azure99",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 32.512
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5235
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5955
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1866
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3112
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.402
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4235
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Azure99/blossom-v5-llama3-8b/9be442e8-4b77-43e0-a981-887338e59b78.json b/data/hfopenllm_v2/Azure99/blossom-v5-llama3-8b/9be442e8-4b77-43e0-a981-887338e59b78.json
new file mode 100644
index 000000000..6b1528202
--- /dev/null
+++ b/data/hfopenllm_v2/Azure99/blossom-v5-llama3-8b/9be442e8-4b77-43e0-a981-887338e59b78.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Azure99_blossom-v5-llama3-8b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "blossom-v5-llama3-8b",
+    "id": "Azure99/blossom-v5-llama3-8b",
+    "developer": "Azure99",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4343
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4185
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0514
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2651
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.367
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2206
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Azure99/blossom-v5.1-34b/a07b6326-f393-490e-b696-d8b45f593d4b.json b/data/hfopenllm_v2/Azure99/blossom-v5.1-34b/a07b6326-f393-490e-b696-d8b45f593d4b.json
new file mode 100644
index 000000000..108854be5
--- /dev/null
+++ b/data/hfopenllm_v2/Azure99/blossom-v5.1-34b/a07b6326-f393-490e-b696-d8b45f593d4b.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Azure99_blossom-v5.1-34b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "blossom-v5.1-34b",
+    "id": "Azure99/blossom-v5.1-34b",
+    "developer": "Azure99",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 34.389
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5697
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6109
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2591
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3096
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3928
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4558
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Azure99/blossom-v5.1-34b/d2342413-1b55-4da5-a6e5-da6274f309ad.json b/data/hfopenllm_v2/Azure99/blossom-v5.1-34b/d2342413-1b55-4da5-a6e5-da6274f309ad.json
deleted file mode 100644
index a40b85708..000000000
--- a/data/hfopenllm_v2/Azure99/blossom-v5.1-34b/d2342413-1b55-4da5-a6e5-da6274f309ad.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Azure99_blossom-v5.1-34b/1762652579.4871309",
-  "retrieved_timestamp": "1762652579.4871309",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Azure99/blossom-v5.1-34b",
-    "developer": "Azure99",
-    "inference_platform": "unknown",
-    "id": "Azure99/blossom-v5.1-34b",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 34.389
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5696562897556262
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6109110096611161
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2590634441087613
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30956375838926176
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.39279166666666665
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4557845744680851
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Azure99/blossom-v5.1-9b/8eb55323-b0d7-4419-aec6-03de8bcd472e.json b/data/hfopenllm_v2/Azure99/blossom-v5.1-9b/8eb55323-b0d7-4419-aec6-03de8bcd472e.json
deleted file mode 100644
index 6f14a09ab..000000000
--- a/data/hfopenllm_v2/Azure99/blossom-v5.1-9b/8eb55323-b0d7-4419-aec6-03de8bcd472e.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Azure99_blossom-v5.1-9b/1762652579.487347",
-  "retrieved_timestamp": "1762652579.487348",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Azure99/blossom-v5.1-9b",
-    "developer": "Azure99",
-    "inference_platform": "unknown",
-    "id": "Azure99/blossom-v5.1-9b",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.829
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5085816744016985
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5343292377916368
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2122356495468278
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.33557046979865773
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.39939583333333334
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.39793882978723405
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Azure99/blossom-v5.1-9b/b66ed91a-98d5-407c-9896-9c2e2a31e9da.json b/data/hfopenllm_v2/Azure99/blossom-v5.1-9b/b66ed91a-98d5-407c-9896-9c2e2a31e9da.json
new file mode 100644
index 000000000..812870f1b
--- /dev/null
+++ b/data/hfopenllm_v2/Azure99/blossom-v5.1-9b/b66ed91a-98d5-407c-9896-9c2e2a31e9da.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Azure99_blossom-v5.1-9b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "blossom-v5.1-9b",
+    "id": "Azure99/blossom-v5.1-9b",
+    "developer": "Azure99",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.829
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+      }
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+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
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+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5343
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2122
+      }
+    },
+    {
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+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3356
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3994
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3979
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/BAAI/Gemma2-9B-IT-Simpo-Infinity-Preference/9c70921d-956b-4727-9201-1addbd01bb8b.json b/data/hfopenllm_v2/BAAI/Gemma2-9B-IT-Simpo-Infinity-Preference/9c70921d-956b-4727-9201-1addbd01bb8b.json
new file mode 100644
index 000000000..212643c5b
--- /dev/null
+++ b/data/hfopenllm_v2/BAAI/Gemma2-9B-IT-Simpo-Infinity-Preference/9c70921d-956b-4727-9201-1addbd01bb8b.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/BAAI_Gemma2-9B-IT-Simpo-Infinity-Preference/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Gemma2-9B-IT-Simpo-Infinity-Preference",
+    "id": "BAAI/Gemma2-9B-IT-Simpo-Infinity-Preference",
+    "developer": "BAAI",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Gemma2ForCausalLM",
+      "params_billions": 9.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3176
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5979
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3398
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3966
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3869
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/BAAI/Infinity-Instruct-3M-0613-Llama3-70B/4ba6d51e-314a-4db4-9552-568a4093e01a.json b/data/hfopenllm_v2/BAAI/Infinity-Instruct-3M-0613-Llama3-70B/4ba6d51e-314a-4db4-9552-568a4093e01a.json
new file mode 100644
index 000000000..3e94d0dd0
--- /dev/null
+++ b/data/hfopenllm_v2/BAAI/Infinity-Instruct-3M-0613-Llama3-70B/4ba6d51e-314a-4db4-9552-568a4093e01a.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/BAAI_Infinity-Instruct-3M-0613-Llama3-70B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Infinity-Instruct-3M-0613-Llama3-70B",
+    "id": "BAAI/Infinity-Instruct-3M-0613-Llama3-70B",
+    "developer": "BAAI",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 70.554
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6821
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6642
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2153
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3582
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4523
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.473
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/BAAI/Infinity-Instruct-3M-0613-Llama3-70B/69cea95c-c167-42f4-a233-f7739f86f6a7.json b/data/hfopenllm_v2/BAAI/Infinity-Instruct-3M-0613-Llama3-70B/69cea95c-c167-42f4-a233-f7739f86f6a7.json
deleted file mode 100644
index b376225a6..000000000
--- a/data/hfopenllm_v2/BAAI/Infinity-Instruct-3M-0613-Llama3-70B/69cea95c-c167-42f4-a233-f7739f86f6a7.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/BAAI_Infinity-Instruct-3M-0613-Llama3-70B/1762652579.487831",
-  "retrieved_timestamp": "1762652579.487832",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "BAAI/Infinity-Instruct-3M-0613-Llama3-70B",
-    "developer": "BAAI",
-    "inference_platform": "unknown",
-    "id": "BAAI/Infinity-Instruct-3M-0613-Llama3-70B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 70.554
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6821134589555713
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6641614484348598
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.21525679758308158
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.35822147651006714
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.45226041666666666
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.47298869680851063
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/BAAI/Infinity-Instruct-3M-0613-Mistral-7B/835f5056-56bf-4a6c-886f-fbe6f263ac07.json b/data/hfopenllm_v2/BAAI/Infinity-Instruct-3M-0613-Mistral-7B/835f5056-56bf-4a6c-886f-fbe6f263ac07.json
new file mode 100644
index 000000000..9053fed79
--- /dev/null
+++ b/data/hfopenllm_v2/BAAI/Infinity-Instruct-3M-0613-Mistral-7B/835f5056-56bf-4a6c-886f-fbe6f263ac07.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/BAAI_Infinity-Instruct-3M-0613-Mistral-7B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Infinity-Instruct-3M-0613-Mistral-7B",
+    "id": "BAAI/Infinity-Instruct-3M-0613-Mistral-7B",
+    "developer": "BAAI",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.532
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4958
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0816
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2961
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4351
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3161
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/BAAI/Infinity-Instruct-3M-0613-Mistral-7B/9d9ac91a-f339-41a4-ae91-3dba41b06382.json b/data/hfopenllm_v2/BAAI/Infinity-Instruct-3M-0613-Mistral-7B/9d9ac91a-f339-41a4-ae91-3dba41b06382.json
deleted file mode 100644
index c11c239e6..000000000
--- a/data/hfopenllm_v2/BAAI/Infinity-Instruct-3M-0613-Mistral-7B/9d9ac91a-f339-41a4-ae91-3dba41b06382.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/BAAI_Infinity-Instruct-3M-0613-Mistral-7B/1762652579.48831",
-  "retrieved_timestamp": "1762652579.4883142",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
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diff --git a/data/hfopenllm_v2/BAAI/Infinity-Instruct-3M-0625-Llama3-70B/73eb53bc-a090-4415-8fdc-a767a2e00188.json b/data/hfopenllm_v2/BAAI/Infinity-Instruct-3M-0625-Llama3-70B/73eb53bc-a090-4415-8fdc-a767a2e00188.json
deleted file mode 100644
index 0af08bb81..000000000
--- a/data/hfopenllm_v2/BAAI/Infinity-Instruct-3M-0625-Llama3-70B/73eb53bc-a090-4415-8fdc-a767a2e00188.json
+++ /dev/null
@@ -1,105 +0,0 @@
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-    "source_name": "HF Open LLM v2",
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-    "developer": "BAAI",
-    "inference_platform": "unknown",
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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diff --git a/data/hfopenllm_v2/BAAI/Infinity-Instruct-3M-0625-Llama3-70B/c2a63afa-9d25-41dc-b25f-848f5a640501.json b/data/hfopenllm_v2/BAAI/Infinity-Instruct-3M-0625-Llama3-70B/c2a63afa-9d25-41dc-b25f-848f5a640501.json
new file mode 100644
index 000000000..090eaf46c
--- /dev/null
+++ b/data/hfopenllm_v2/BAAI/Infinity-Instruct-3M-0625-Llama3-70B/c2a63afa-9d25-41dc-b25f-848f5a640501.json
@@ -0,0 +1,132 @@
+{
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+  "evaluation_id": "hfopenllm_v2/BAAI_Infinity-Instruct-3M-0625-Llama3-70B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Infinity-Instruct-3M-0625-Llama3-70B",
+    "id": "BAAI/Infinity-Instruct-3M-0625-Llama3-70B",
+    "developer": "BAAI",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 70.554
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7442
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.667
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2251
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3574
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4617
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4586
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/BAAI/Infinity-Instruct-3M-0625-Llama3-8B/00d87824-732a-4746-8d9f-ce7b1f45c0ae.json b/data/hfopenllm_v2/BAAI/Infinity-Instruct-3M-0625-Llama3-8B/00d87824-732a-4746-8d9f-ce7b1f45c0ae.json
deleted file mode 100644
index 8fcf5281f..000000000
--- a/data/hfopenllm_v2/BAAI/Infinity-Instruct-3M-0625-Llama3-8B/00d87824-732a-4746-8d9f-ce7b1f45c0ae.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "source_data": [
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-    "name": "BAAI/Infinity-Instruct-3M-0625-Llama3-8B",
-    "developer": "BAAI",
-    "inference_platform": "unknown",
-    "id": "BAAI/Infinity-Instruct-3M-0625-Llama3-8B",
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-        "score_type": "continuous",
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-        "lower_is_better": false,
-        "score_type": "continuous",
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-    },
-    {
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-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-    }
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-}
diff --git a/data/hfopenllm_v2/BAAI/Infinity-Instruct-3M-0625-Llama3-8B/f64f9d24-e448-4bb6-89c3-edb66499bac9.json b/data/hfopenllm_v2/BAAI/Infinity-Instruct-3M-0625-Llama3-8B/f64f9d24-e448-4bb6-89c3-edb66499bac9.json
new file mode 100644
index 000000000..4f8d75121
--- /dev/null
+++ b/data/hfopenllm_v2/BAAI/Infinity-Instruct-3M-0625-Llama3-8B/f64f9d24-e448-4bb6-89c3-edb66499bac9.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/BAAI_Infinity-Instruct-3M-0625-Llama3-8B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Infinity-Instruct-3M-0625-Llama3-8B",
+    "id": "BAAI/Infinity-Instruct-3M-0625-Llama3-8B",
+    "developer": "BAAI",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.605
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4955
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0884
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2752
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3712
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3252
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/BAAI/Infinity-Instruct-3M-0625-Mistral-7B/2de14bfb-844a-4711-815e-8f63487a78fd.json b/data/hfopenllm_v2/BAAI/Infinity-Instruct-3M-0625-Mistral-7B/2de14bfb-844a-4711-815e-8f63487a78fd.json
new file mode 100644
index 000000000..ea49688f6
--- /dev/null
+++ b/data/hfopenllm_v2/BAAI/Infinity-Instruct-3M-0625-Mistral-7B/2de14bfb-844a-4711-815e-8f63487a78fd.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/BAAI_Infinity-Instruct-3M-0625-Mistral-7B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Infinity-Instruct-3M-0625-Mistral-7B",
+    "id": "BAAI/Infinity-Instruct-3M-0625-Mistral-7B",
+    "developer": "BAAI",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5867
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.494
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0763
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2869
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4272
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.323
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/BAAI/Infinity-Instruct-3M-0625-Mistral-7B/be3423f2-98f0-414a-b0c3-efd0d60d4cb3.json b/data/hfopenllm_v2/BAAI/Infinity-Instruct-3M-0625-Mistral-7B/be3423f2-98f0-414a-b0c3-efd0d60d4cb3.json
deleted file mode 100644
index 0e567e344..000000000
--- a/data/hfopenllm_v2/BAAI/Infinity-Instruct-3M-0625-Mistral-7B/be3423f2-98f0-414a-b0c3-efd0d60d4cb3.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/BAAI_Infinity-Instruct-3M-0625-Mistral-7B/1762652579.489246",
-  "retrieved_timestamp": "1762652579.489247",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "BAAI/Infinity-Instruct-3M-0625-Mistral-7B",
-    "developer": "BAAI",
-    "inference_platform": "unknown",
-    "id": "BAAI/Infinity-Instruct-3M-0625-Mistral-7B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5867420666054957
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-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4939670574681802
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
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-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-        "score": 0.07628398791540786
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.28691275167785235
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42723958333333334
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3229720744680851
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/BAAI/Infinity-Instruct-3M-0625-Qwen2-7B/2390d668-3273-4f58-a0fd-b13b9d9b1651.json b/data/hfopenllm_v2/BAAI/Infinity-Instruct-3M-0625-Qwen2-7B/2390d668-3273-4f58-a0fd-b13b9d9b1651.json
deleted file mode 100644
index 4c5b160d7..000000000
--- a/data/hfopenllm_v2/BAAI/Infinity-Instruct-3M-0625-Qwen2-7B/2390d668-3273-4f58-a0fd-b13b9d9b1651.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/BAAI_Infinity-Instruct-3M-0625-Qwen2-7B/1762652579.489471",
-  "retrieved_timestamp": "1762652579.489472",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "BAAI/Infinity-Instruct-3M-0625-Qwen2-7B",
-    "developer": "BAAI",
-    "inference_platform": "unknown",
-    "id": "BAAI/Infinity-Instruct-3M-0625-Qwen2-7B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.616
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-    },
-    {
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-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5345911997776569
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.31291946308724833
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.38876041666666666
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.39602726063829785
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/BAAI/Infinity-Instruct-3M-0625-Qwen2-7B/f953e0e2-ddca-42a2-a0f6-752a137bc6b5.json b/data/hfopenllm_v2/BAAI/Infinity-Instruct-3M-0625-Qwen2-7B/f953e0e2-ddca-42a2-a0f6-752a137bc6b5.json
new file mode 100644
index 000000000..ff2b44e64
--- /dev/null
+++ b/data/hfopenllm_v2/BAAI/Infinity-Instruct-3M-0625-Qwen2-7B/f953e0e2-ddca-42a2-a0f6-752a137bc6b5.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/BAAI_Infinity-Instruct-3M-0625-Qwen2-7B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Infinity-Instruct-3M-0625-Qwen2-7B",
+    "id": "BAAI/Infinity-Instruct-3M-0625-Qwen2-7B",
+    "developer": "BAAI",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5554
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5346
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1926
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3129
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3888
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.396
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/BAAI/Infinity-Instruct-3M-0625-Yi-1.5-9B/8a2d5e9c-7d41-4638-8b8c-58d08fc0912b.json b/data/hfopenllm_v2/BAAI/Infinity-Instruct-3M-0625-Yi-1.5-9B/8a2d5e9c-7d41-4638-8b8c-58d08fc0912b.json
deleted file mode 100644
index 0581e807d..000000000
--- a/data/hfopenllm_v2/BAAI/Infinity-Instruct-3M-0625-Yi-1.5-9B/8a2d5e9c-7d41-4638-8b8c-58d08fc0912b.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/BAAI_Infinity-Instruct-3M-0625-Yi-1.5-9B/1762652579.489686",
-  "retrieved_timestamp": "1762652579.489687",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "BAAI/Infinity-Instruct-3M-0625-Yi-1.5-9B",
-    "developer": "BAAI",
-    "inference_platform": "unknown",
-    "id": "BAAI/Infinity-Instruct-3M-0625-Yi-1.5-9B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.829
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5185984299436606
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5509115146247398
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
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-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3540268456375839
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.45753125
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41181848404255317
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/BAAI/Infinity-Instruct-3M-0625-Yi-1.5-9B/98187b98-0cc8-4756-9cb7-c53deb998f90.json b/data/hfopenllm_v2/BAAI/Infinity-Instruct-3M-0625-Yi-1.5-9B/98187b98-0cc8-4756-9cb7-c53deb998f90.json
new file mode 100644
index 000000000..5553e65e0
--- /dev/null
+++ b/data/hfopenllm_v2/BAAI/Infinity-Instruct-3M-0625-Yi-1.5-9B/98187b98-0cc8-4756-9cb7-c53deb998f90.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/BAAI_Infinity-Instruct-3M-0625-Yi-1.5-9B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Infinity-Instruct-3M-0625-Yi-1.5-9B",
+    "id": "BAAI/Infinity-Instruct-3M-0625-Yi-1.5-9B",
+    "developer": "BAAI",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.829
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5186
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5509
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1639
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.354
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4575
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4118
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/BAAI/Infinity-Instruct-7M-0729-Llama3_1-8B/8c79c60d-ebf4-4409-be4f-928a54cedd1d.json b/data/hfopenllm_v2/BAAI/Infinity-Instruct-7M-0729-Llama3_1-8B/8c79c60d-ebf4-4409-be4f-928a54cedd1d.json
new file mode 100644
index 000000000..de7d61cf3
--- /dev/null
+++ b/data/hfopenllm_v2/BAAI/Infinity-Instruct-7M-0729-Llama3_1-8B/8c79c60d-ebf4-4409-be4f-928a54cedd1d.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/BAAI_Infinity-Instruct-7M-0729-Llama3_1-8B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Infinity-Instruct-7M-0729-Llama3_1-8B",
+    "id": "BAAI/Infinity-Instruct-7M-0729-Llama3_1-8B",
+    "developer": "BAAI",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6132
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5077
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1276
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2928
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3578
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3224
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/BAAI/Infinity-Instruct-7M-0729-Llama3_1-8B/eace7f56-b853-436d-a744-bfdb9e227993.json b/data/hfopenllm_v2/BAAI/Infinity-Instruct-7M-0729-Llama3_1-8B/eace7f56-b853-436d-a744-bfdb9e227993.json
deleted file mode 100644
index 5356bf60b..000000000
--- a/data/hfopenllm_v2/BAAI/Infinity-Instruct-7M-0729-Llama3_1-8B/eace7f56-b853-436d-a744-bfdb9e227993.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/BAAI_Infinity-Instruct-7M-0729-Llama3_1-8B/1762652579.489912",
-  "retrieved_timestamp": "1762652579.489913",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "BAAI/Infinity-Instruct-7M-0729-Llama3_1-8B",
-    "developer": "BAAI",
-    "inference_platform": "unknown",
-    "id": "BAAI/Infinity-Instruct-7M-0729-Llama3_1-8B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-    {
-      "evaluation_name": "MATH Level 5",
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-        "lower_is_better": false,
-        "score_type": "continuous",
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.35784375
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/BAAI/Infinity-Instruct-7M-0729-mistral-7B/25477dff-04c5-4cb8-9ad9-3a13448a2a7d.json b/data/hfopenllm_v2/BAAI/Infinity-Instruct-7M-0729-mistral-7B/25477dff-04c5-4cb8-9ad9-3a13448a2a7d.json
deleted file mode 100644
index 9ed6cbbc7..000000000
--- a/data/hfopenllm_v2/BAAI/Infinity-Instruct-7M-0729-mistral-7B/25477dff-04c5-4cb8-9ad9-3a13448a2a7d.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/BAAI_Infinity-Instruct-7M-0729-mistral-7B/1762652579.490131",
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-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "BAAI/Infinity-Instruct-7M-0729-mistral-7B",
-    "developer": "BAAI",
-    "inference_platform": "unknown",
-    "id": "BAAI/Infinity-Instruct-7M-0729-mistral-7B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4963813586525743
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-    {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2902684563758389
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4061875
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3273769946808511
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/BAAI/Infinity-Instruct-7M-0729-mistral-7B/5d5cebeb-faf0-4fdf-8749-6307080e82f2.json b/data/hfopenllm_v2/BAAI/Infinity-Instruct-7M-0729-mistral-7B/5d5cebeb-faf0-4fdf-8749-6307080e82f2.json
new file mode 100644
index 000000000..27fce40f9
--- /dev/null
+++ b/data/hfopenllm_v2/BAAI/Infinity-Instruct-7M-0729-mistral-7B/5d5cebeb-faf0-4fdf-8749-6307080e82f2.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/BAAI_Infinity-Instruct-7M-0729-mistral-7B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Infinity-Instruct-7M-0729-mistral-7B",
+    "id": "BAAI/Infinity-Instruct-7M-0729-mistral-7B",
+    "developer": "BAAI",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6162
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4964
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0831
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2903
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4062
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3274
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/BAAI/Infinity-Instruct-7M-Gen-Llama3_1-70B/b04b4e4d-2f15-446b-974f-21f72fd80fe0.json b/data/hfopenllm_v2/BAAI/Infinity-Instruct-7M-Gen-Llama3_1-70B/b04b4e4d-2f15-446b-974f-21f72fd80fe0.json
deleted file mode 100644
index 8b67ae6f4..000000000
--- a/data/hfopenllm_v2/BAAI/Infinity-Instruct-7M-Gen-Llama3_1-70B/b04b4e4d-2f15-446b-974f-21f72fd80fe0.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/BAAI_Infinity-Instruct-7M-Gen-Llama3_1-70B/1762652579.490346",
-  "retrieved_timestamp": "1762652579.490347",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "BAAI/Infinity-Instruct-7M-Gen-Llama3_1-70B",
-    "developer": "BAAI",
-    "inference_platform": "unknown",
-    "id": "BAAI/Infinity-Instruct-7M-Gen-Llama3_1-70B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 70.554
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-    {
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-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6695200461367471
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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diff --git a/data/hfopenllm_v2/BAAI/Infinity-Instruct-7M-Gen-Llama3_1-70B/e926ce8f-45bb-4f3d-b579-ecadb3df6468.json b/data/hfopenllm_v2/BAAI/Infinity-Instruct-7M-Gen-Llama3_1-70B/e926ce8f-45bb-4f3d-b579-ecadb3df6468.json
new file mode 100644
index 000000000..c05f8ef93
--- /dev/null
+++ b/data/hfopenllm_v2/BAAI/Infinity-Instruct-7M-Gen-Llama3_1-70B/e926ce8f-45bb-4f3d-b579-ecadb3df6468.json
@@ -0,0 +1,132 @@
+{
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+  "evaluation_id": "hfopenllm_v2/BAAI_Infinity-Instruct-7M-Gen-Llama3_1-70B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
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+  "model_info": {
+    "name": "Infinity-Instruct-7M-Gen-Llama3_1-70B",
+    "id": "BAAI/Infinity-Instruct-7M-Gen-Llama3_1-70B",
+    "developer": "BAAI",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 70.554
+    }
+  },
+  "evaluation_results": [
+    {
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+      "source_data": {
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+        "hf_repo": "google/IFEval"
+      },
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+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+    },
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
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+        "lower_is_better": false,
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+        "max_score": 1.0
+      },
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+    {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
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+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
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+        "score_type": "continuous",
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+        "max_score": 1.0
+      },
+      "score_details": {
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+    },
+    {
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+        "hf_repo": "TAUR-Lab/MuSR"
+      },
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+        "lower_is_better": false,
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+        "max_score": 1.0
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+    {
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+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/BAAI/Infinity-Instruct-7M-Gen-Llama3_1-8B/070609d6-5f41-4712-9ad7-e215b1a6bb81.json b/data/hfopenllm_v2/BAAI/Infinity-Instruct-7M-Gen-Llama3_1-8B/070609d6-5f41-4712-9ad7-e215b1a6bb81.json
new file mode 100644
index 000000000..e21c1ef5d
--- /dev/null
+++ b/data/hfopenllm_v2/BAAI/Infinity-Instruct-7M-Gen-Llama3_1-8B/070609d6-5f41-4712-9ad7-e215b1a6bb81.json
@@ -0,0 +1,132 @@
+{
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+  "evaluation_id": "hfopenllm_v2/BAAI_Infinity-Instruct-7M-Gen-Llama3_1-8B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Infinity-Instruct-7M-Gen-Llama3_1-8B",
+    "id": "BAAI/Infinity-Instruct-7M-Gen-Llama3_1-8B",
+    "developer": "BAAI",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6132
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+      }
+    },
+    {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
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+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+    },
+    {
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+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
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+        "max_score": 1.0
+      },
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+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/BAAI/Infinity-Instruct-7M-Gen-Llama3_1-8B/84f2027c-3e68-489e-902b-2fec6ec8f850.json b/data/hfopenllm_v2/BAAI/Infinity-Instruct-7M-Gen-Llama3_1-8B/84f2027c-3e68-489e-902b-2fec6ec8f850.json
deleted file mode 100644
index 3ca2d0a38..000000000
--- a/data/hfopenllm_v2/BAAI/Infinity-Instruct-7M-Gen-Llama3_1-8B/84f2027c-3e68-489e-902b-2fec6ec8f850.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/BAAI/Infinity-Instruct-7M-Gen-mistral-7B/51daf5e7-1d4e-4753-b24b-79273e6f9370.json b/data/hfopenllm_v2/BAAI/Infinity-Instruct-7M-Gen-mistral-7B/51daf5e7-1d4e-4753-b24b-79273e6f9370.json
deleted file mode 100644
index dc9c56196..000000000
--- a/data/hfopenllm_v2/BAAI/Infinity-Instruct-7M-Gen-mistral-7B/51daf5e7-1d4e-4753-b24b-79273e6f9370.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-    "id": "BAAI/Infinity-Instruct-7M-Gen-mistral-7B",
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-    {
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
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-        "lower_is_better": false,
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diff --git a/data/hfopenllm_v2/BAAI/Infinity-Instruct-7M-Gen-mistral-7B/8d2909c7-37f2-4198-a1e2-4bf2ebc1444d.json b/data/hfopenllm_v2/BAAI/Infinity-Instruct-7M-Gen-mistral-7B/8d2909c7-37f2-4198-a1e2-4bf2ebc1444d.json
new file mode 100644
index 000000000..4f2f9d23d
--- /dev/null
+++ b/data/hfopenllm_v2/BAAI/Infinity-Instruct-7M-Gen-mistral-7B/8d2909c7-37f2-4198-a1e2-4bf2ebc1444d.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/BAAI_Infinity-Instruct-7M-Gen-mistral-7B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Infinity-Instruct-7M-Gen-mistral-7B",
+    "id": "BAAI/Infinity-Instruct-7M-Gen-mistral-7B",
+    "developer": "BAAI",
+    "inference_platform": "unknown",
+    "additional_details": {
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+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
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+      "score_details": {
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+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
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+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4964
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+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+      "score_details": {
+        "score": 0.0831
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+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2903
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+    },
+    {
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/BAAI/OPI-Llama-3.1-8B-Instruct/53587959-25f9-43aa-a34b-f274d8bc93af.json b/data/hfopenllm_v2/BAAI/OPI-Llama-3.1-8B-Instruct/53587959-25f9-43aa-a34b-f274d8bc93af.json
new file mode 100644
index 000000000..e76dc81cd
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+++ b/data/hfopenllm_v2/BAAI/OPI-Llama-3.1-8B-Instruct/53587959-25f9-43aa-a34b-f274d8bc93af.json
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/BAAI/OPI-Llama-3.1-8B-Instruct/567f27f3-3f64-4054-aa67-684c29e4d71a.json b/data/hfopenllm_v2/BAAI/OPI-Llama-3.1-8B-Instruct/567f27f3-3f64-4054-aa67-684c29e4d71a.json
deleted file mode 100644
index b23070326..000000000
--- a/data/hfopenllm_v2/BAAI/OPI-Llama-3.1-8B-Instruct/567f27f3-3f64-4054-aa67-684c29e4d71a.json
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diff --git a/data/hfopenllm_v2/BEE-spoke-data/Meta-Llama-3-8Bee/2a7f80ed-d404-4c81-b000-b65c83069121.json b/data/hfopenllm_v2/BEE-spoke-data/Meta-Llama-3-8Bee/2a7f80ed-d404-4c81-b000-b65c83069121.json
new file mode 100644
index 000000000..3edbb6f6f
--- /dev/null
+++ b/data/hfopenllm_v2/BEE-spoke-data/Meta-Llama-3-8Bee/2a7f80ed-d404-4c81-b000-b65c83069121.json
@@ -0,0 +1,132 @@
+{
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+  "source_metadata": {
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+    "source_type": "documentation",
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+    "developer": "BEE-spoke-data",
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/BEE-spoke-data/smol_llama-101M-GQA/f0983645-4adb-4ddb-bf2f-33480cb7f421.json b/data/hfopenllm_v2/BEE-spoke-data/smol_llama-101M-GQA/f0983645-4adb-4ddb-bf2f-33480cb7f421.json
new file mode 100644
index 000000000..1bb779c1b
--- /dev/null
+++ b/data/hfopenllm_v2/BEE-spoke-data/smol_llama-101M-GQA/f0983645-4adb-4ddb-bf2f-33480cb7f421.json
@@ -0,0 +1,132 @@
+{
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+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
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+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
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+    "developer": "BEE-spoke-data",
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+        "hf_repo": "SaylorTwift/bbh"
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+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
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+        "evaluation_description": "Exact Match on MATH Level 5",
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+        "hf_repo": "TAUR-Lab/MuSR"
+      },
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+        "hf_repo": "TIGER-Lab/MMLU-Pro"
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/BEE-spoke-data/smol_llama-220M-GQA-fineweb_edu/161dadfe-4983-4f56-8a7d-9b97f1c5a3c7.json b/data/hfopenllm_v2/BEE-spoke-data/smol_llama-220M-GQA-fineweb_edu/161dadfe-4983-4f56-8a7d-9b97f1c5a3c7.json
new file mode 100644
index 000000000..d7af3cb33
--- /dev/null
+++ b/data/hfopenllm_v2/BEE-spoke-data/smol_llama-220M-GQA-fineweb_edu/161dadfe-4983-4f56-8a7d-9b97f1c5a3c7.json
@@ -0,0 +1,132 @@
+{
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+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "smol_llama-220M-GQA-fineweb_edu",
+    "id": "BEE-spoke-data/smol_llama-220M-GQA-fineweb_edu",
+    "developer": "BEE-spoke-data",
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+      "architecture": "LlamaForCausalLM",
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+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2592
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4368
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1127
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/BEE-spoke-data/smol_llama-220M-GQA/694a02f9-4729-4d0b-97ce-80adaef29be2.json b/data/hfopenllm_v2/BEE-spoke-data/smol_llama-220M-GQA/694a02f9-4729-4d0b-97ce-80adaef29be2.json
new file mode 100644
index 000000000..aa2c6a93b
--- /dev/null
+++ b/data/hfopenllm_v2/BEE-spoke-data/smol_llama-220M-GQA/694a02f9-4729-4d0b-97ce-80adaef29be2.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/BEE-spoke-data_smol_llama-220M-GQA/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "smol_llama-220M-GQA",
+    "id": "BEE-spoke-data/smol_llama-220M-GQA",
+    "developer": "BEE-spoke-data",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 0.218
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2386
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3032
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0106
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2559
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4059
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1149
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/BEE-spoke-data/smol_llama-220M-openhermes/0521f51d-22c1-4821-8f04-23c533411668.json b/data/hfopenllm_v2/BEE-spoke-data/smol_llama-220M-openhermes/0521f51d-22c1-4821-8f04-23c533411668.json
new file mode 100644
index 000000000..7df19fae4
--- /dev/null
+++ b/data/hfopenllm_v2/BEE-spoke-data/smol_llama-220M-openhermes/0521f51d-22c1-4821-8f04-23c533411668.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/BEE-spoke-data_smol_llama-220M-openhermes/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "smol_llama-220M-openhermes",
+    "id": "BEE-spoke-data/smol_llama-220M-openhermes",
+    "developer": "BEE-spoke-data",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 0.218
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1555
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3028
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0106
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2676
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3847
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.112
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/BEE-spoke-data/tFINE-900m-e16-d32-flan-infinity-instruct-7m-T2T_en-1024/112be4bf-bfac-470f-bde8-c1e4d7282667.json b/data/hfopenllm_v2/BEE-spoke-data/tFINE-900m-e16-d32-flan-infinity-instruct-7m-T2T_en-1024/112be4bf-bfac-470f-bde8-c1e4d7282667.json
deleted file mode 100644
index cb33ad0b9..000000000
--- a/data/hfopenllm_v2/BEE-spoke-data/tFINE-900m-e16-d32-flan-infinity-instruct-7m-T2T_en-1024/112be4bf-bfac-470f-bde8-c1e4d7282667.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/BEE-spoke-data_tFINE-900m-e16-d32-flan-infinity-instruct-7m-T2T_en-1024/1762652579.492853",
-  "retrieved_timestamp": "1762652579.492853",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "BEE-spoke-data/tFINE-900m-e16-d32-flan-infinity-instruct-7m-T2T_en-1024",
-    "developer": "BEE-spoke-data",
-    "inference_platform": "unknown",
-    "id": "BEE-spoke-data/tFINE-900m-e16-d32-flan-infinity-instruct-7m-T2T_en-1024",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "T5ForConditionalGeneration",
-      "params_billions": 0.887
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.13206735905176042
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3137786304497592
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.010574018126888218
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.25419463087248323
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.43927083333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.12367021276595745
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/BEE-spoke-data/tFINE-900m-e16-d32-flan-infinity-instruct-7m-T2T_en-1024/8fdea71b-5e68-4a78-aefc-8a00650464c4.json b/data/hfopenllm_v2/BEE-spoke-data/tFINE-900m-e16-d32-flan-infinity-instruct-7m-T2T_en-1024/8fdea71b-5e68-4a78-aefc-8a00650464c4.json
new file mode 100644
index 000000000..18703f8e9
--- /dev/null
+++ b/data/hfopenllm_v2/BEE-spoke-data/tFINE-900m-e16-d32-flan-infinity-instruct-7m-T2T_en-1024/8fdea71b-5e68-4a78-aefc-8a00650464c4.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/BEE-spoke-data_tFINE-900m-e16-d32-flan-infinity-instruct-7m-T2T_en-1024/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "tFINE-900m-e16-d32-flan-infinity-instruct-7m-T2T_en-1024",
+    "id": "BEE-spoke-data/tFINE-900m-e16-d32-flan-infinity-instruct-7m-T2T_en-1024",
+    "developer": "BEE-spoke-data",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "T5ForConditionalGeneration",
+      "params_billions": 0.887
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1321
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3138
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0106
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2542
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4393
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1237
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/BEE-spoke-data/tFINE-900m-e16-d32-flan/cdf0ce69-4697-4f16-a769-80691cc08b27.json b/data/hfopenllm_v2/BEE-spoke-data/tFINE-900m-e16-d32-flan/cdf0ce69-4697-4f16-a769-80691cc08b27.json
deleted file mode 100644
index d3f25d4a3..000000000
--- a/data/hfopenllm_v2/BEE-spoke-data/tFINE-900m-e16-d32-flan/cdf0ce69-4697-4f16-a769-80691cc08b27.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/BEE-spoke-data_tFINE-900m-e16-d32-flan/1762652579.492592",
-  "retrieved_timestamp": "1762652579.492592",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "BEE-spoke-data/tFINE-900m-e16-d32-flan",
-    "developer": "BEE-spoke-data",
-    "inference_platform": "unknown",
-    "id": "BEE-spoke-data/tFINE-900m-e16-d32-flan",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "T5ForConditionalGeneration",
-      "params_billions": 0.887
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.15057713533424646
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30280434847620613
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.009818731117824773
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2332214765100671
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3724166666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1307347074468085
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/BEE-spoke-data/tFINE-900m-e16-d32-flan/e2ba5674-9251-4a4e-9eb8-046c834da400.json b/data/hfopenllm_v2/BEE-spoke-data/tFINE-900m-e16-d32-flan/e2ba5674-9251-4a4e-9eb8-046c834da400.json
new file mode 100644
index 000000000..c330cd864
--- /dev/null
+++ b/data/hfopenllm_v2/BEE-spoke-data/tFINE-900m-e16-d32-flan/e2ba5674-9251-4a4e-9eb8-046c834da400.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/BEE-spoke-data_tFINE-900m-e16-d32-flan/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "tFINE-900m-e16-d32-flan",
+    "id": "BEE-spoke-data/tFINE-900m-e16-d32-flan",
+    "developer": "BEE-spoke-data",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "T5ForConditionalGeneration",
+      "params_billions": 0.887
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1506
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3028
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0098
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2332
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3724
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1307
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/BEE-spoke-data/tFINE-900m-e16-d32-instruct_2e/4caafdb2-3065-40d4-b5a7-9deb41e1d8a7.json b/data/hfopenllm_v2/BEE-spoke-data/tFINE-900m-e16-d32-instruct_2e/4caafdb2-3065-40d4-b5a7-9deb41e1d8a7.json
new file mode 100644
index 000000000..2509ffeaa
--- /dev/null
+++ b/data/hfopenllm_v2/BEE-spoke-data/tFINE-900m-e16-d32-instruct_2e/4caafdb2-3065-40d4-b5a7-9deb41e1d8a7.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/BEE-spoke-data_tFINE-900m-e16-d32-instruct_2e/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "tFINE-900m-e16-d32-instruct_2e",
+    "id": "BEE-spoke-data/tFINE-900m-e16-d32-instruct_2e",
+    "developer": "BEE-spoke-data",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "T5ForConditionalGeneration",
+      "params_billions": 0.887
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1403
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3135
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0136
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2592
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4207
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1237
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/BEE-spoke-data/tFINE-900m-e16-d32-instruct_2e/7b1574ca-4106-42c0-9336-27df4f0851aa.json b/data/hfopenllm_v2/BEE-spoke-data/tFINE-900m-e16-d32-instruct_2e/7b1574ca-4106-42c0-9336-27df4f0851aa.json
deleted file mode 100644
index 3322b612b..000000000
--- a/data/hfopenllm_v2/BEE-spoke-data/tFINE-900m-e16-d32-instruct_2e/7b1574ca-4106-42c0-9336-27df4f0851aa.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/BEE-spoke-data_tFINE-900m-e16-d32-instruct_2e/1762652579.493063",
-  "retrieved_timestamp": "1762652579.493064",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "BEE-spoke-data/tFINE-900m-e16-d32-instruct_2e",
-    "developer": "BEE-spoke-data",
-    "inference_platform": "unknown",
-    "id": "BEE-spoke-data/tFINE-900m-e16-d32-instruct_2e",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "T5ForConditionalGeneration",
-      "params_billions": 0.887
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1402855534426433
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.31345674638809023
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.013595166163141994
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.25922818791946306
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42069791666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.12367021276595745
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/BEE-spoke-data/tFINE-900m-instruct-orpo/886e0b8b-b2dc-434f-a299-50f668006241.json b/data/hfopenllm_v2/BEE-spoke-data/tFINE-900m-instruct-orpo/886e0b8b-b2dc-434f-a299-50f668006241.json
new file mode 100644
index 000000000..2061ed658
--- /dev/null
+++ b/data/hfopenllm_v2/BEE-spoke-data/tFINE-900m-instruct-orpo/886e0b8b-b2dc-434f-a299-50f668006241.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/BEE-spoke-data_tFINE-900m-instruct-orpo/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "tFINE-900m-instruct-orpo",
+    "id": "BEE-spoke-data/tFINE-900m-instruct-orpo",
+    "developer": "BEE-spoke-data",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "T5ForConditionalGeneration",
+      "params_billions": 0.887
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.133
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3022
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0159
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2592
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3409
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1152
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/BEE-spoke-data/tFINE-900m-instruct-orpo/e91b6749-3103-4cfa-bf16-86126ee2086e.json b/data/hfopenllm_v2/BEE-spoke-data/tFINE-900m-instruct-orpo/e91b6749-3103-4cfa-bf16-86126ee2086e.json
deleted file mode 100644
index 8ae7a04df..000000000
--- a/data/hfopenllm_v2/BEE-spoke-data/tFINE-900m-instruct-orpo/e91b6749-3103-4cfa-bf16-86126ee2086e.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/BEE-spoke-data_tFINE-900m-instruct-orpo/1762652579.493278",
-  "retrieved_timestamp": "1762652579.493279",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "BEE-spoke-data/tFINE-900m-instruct-orpo",
-    "developer": "BEE-spoke-data",
-    "inference_platform": "unknown",
-    "id": "BEE-spoke-data/tFINE-900m-instruct-orpo",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "T5ForConditionalGeneration",
-      "params_billions": 0.887
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
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diff --git a/data/hfopenllm_v2/BSC-LT/salamandra-7b-instruct/2eb60f3a-53f4-478a-8292-aa5e210a8cdf.json b/data/hfopenllm_v2/BSC-LT/salamandra-7b-instruct/2eb60f3a-53f4-478a-8292-aa5e210a8cdf.json
deleted file mode 100644
index 0636ea4cf..000000000
--- a/data/hfopenllm_v2/BSC-LT/salamandra-7b-instruct/2eb60f3a-53f4-478a-8292-aa5e210a8cdf.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "source_data": [
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-    "developer": "BSC-LT",
-    "inference_platform": "unknown",
-    "id": "BSC-LT/salamandra-7b-instruct",
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-      "architecture": "LlamaForCausalLM",
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-        "lower_is_better": false,
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-        "min_score": 0,
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-        "min_score": 0,
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-      "score_details": {
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-}
diff --git a/data/hfopenllm_v2/BSC-LT/salamandra-7b-instruct/7a6a9443-f331-4dfa-acf9-6aa30049bade.json b/data/hfopenllm_v2/BSC-LT/salamandra-7b-instruct/7a6a9443-f331-4dfa-acf9-6aa30049bade.json
new file mode 100644
index 000000000..83c4bafbf
--- /dev/null
+++ b/data/hfopenllm_v2/BSC-LT/salamandra-7b-instruct/7a6a9443-f331-4dfa-acf9-6aa30049bade.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/BSC-LT_salamandra-7b-instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "salamandra-7b-instruct",
+    "id": "BSC-LT/salamandra-7b-instruct",
+    "developer": "BSC-LT",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 7.768
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3851
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+      },
+      "score_details": {
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+    },
+    {
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2643
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4134
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+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1805
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/BSC-LT/salamandra-7b/36d2d3af-60aa-4624-b414-e249d06b6ee1.json b/data/hfopenllm_v2/BSC-LT/salamandra-7b/36d2d3af-60aa-4624-b414-e249d06b6ee1.json
deleted file mode 100644
index d7674d616..000000000
--- a/data/hfopenllm_v2/BSC-LT/salamandra-7b/36d2d3af-60aa-4624-b414-e249d06b6ee1.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-    "developer": "BSC-LT",
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-        "lower_is_better": false,
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-        "lower_is_better": false,
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-}
diff --git a/data/hfopenllm_v2/BSC-LT/salamandra-7b/6d523da4-ec4a-405b-a25d-afc7b1b5aefd.json b/data/hfopenllm_v2/BSC-LT/salamandra-7b/6d523da4-ec4a-405b-a25d-afc7b1b5aefd.json
new file mode 100644
index 000000000..c5d56580f
--- /dev/null
+++ b/data/hfopenllm_v2/BSC-LT/salamandra-7b/6d523da4-ec4a-405b-a25d-afc7b1b5aefd.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/BSC-LT_salamandra-7b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "salamandra-7b",
+    "id": "BSC-LT/salamandra-7b",
+    "developer": "BSC-LT",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 7.768
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1367
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+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3517
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0038
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+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2701
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3501
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1493
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Ba2han/Llama-Phi-3_DoRA/cfecfce3-090d-4c2e-826c-03c0c5337e98.json b/data/hfopenllm_v2/Ba2han/Llama-Phi-3_DoRA/cfecfce3-090d-4c2e-826c-03c0c5337e98.json
new file mode 100644
index 000000000..a299a3968
--- /dev/null
+++ b/data/hfopenllm_v2/Ba2han/Llama-Phi-3_DoRA/cfecfce3-090d-4c2e-826c-03c0c5337e98.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Ba2han_Llama-Phi-3_DoRA/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-Phi-3_DoRA",
+    "id": "Ba2han/Llama-Phi-3_DoRA",
+    "developer": "Ba2han",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 3.821
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5131
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5515
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1216
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3263
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4069
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3915
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Baptiste-HUVELLE-10/LeTriomphant2.2_ECE_iLAB/5aa124dc-4abd-4c5f-b40a-a8d81af922eb.json b/data/hfopenllm_v2/Baptiste-HUVELLE-10/LeTriomphant2.2_ECE_iLAB/5aa124dc-4abd-4c5f-b40a-a8d81af922eb.json
new file mode 100644
index 000000000..b23494890
--- /dev/null
+++ b/data/hfopenllm_v2/Baptiste-HUVELLE-10/LeTriomphant2.2_ECE_iLAB/5aa124dc-4abd-4c5f-b40a-a8d81af922eb.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Baptiste-HUVELLE-10_LeTriomphant2.2_ECE_iLAB/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "LeTriomphant2.2_ECE_iLAB",
+    "id": "Baptiste-HUVELLE-10/LeTriomphant2.2_ECE_iLAB",
+    "developer": "Baptiste-HUVELLE-10",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 72.706
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5076
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7256
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4449
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3993
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4626
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5851
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Baptiste-HUVELLE-10/LeTriomphant2.2_ECE_iLAB/b1632b15-fa00-4476-b3f4-05aba95df664.json b/data/hfopenllm_v2/Baptiste-HUVELLE-10/LeTriomphant2.2_ECE_iLAB/b1632b15-fa00-4476-b3f4-05aba95df664.json
deleted file mode 100644
index 925d04173..000000000
--- a/data/hfopenllm_v2/Baptiste-HUVELLE-10/LeTriomphant2.2_ECE_iLAB/b1632b15-fa00-4476-b3f4-05aba95df664.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Baptiste-HUVELLE-10_LeTriomphant2.2_ECE_iLAB/1762652579.4943",
-  "retrieved_timestamp": "1762652579.4943008",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Baptiste-HUVELLE-10/LeTriomphant2.2_ECE_iLAB",
-    "developer": "Baptiste-HUVELLE-10",
-    "inference_platform": "unknown",
-    "id": "Baptiste-HUVELLE-10/LeTriomphant2.2_ECE_iLAB",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 72.706
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5076330802271307
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7256319952414622
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.44486404833836857
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.39932885906040266
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.46255208333333336
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5851063829787234
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/BenevolenceMessiah/Qwen2.5-72B-2x-Instruct-TIES-v1.0/ad8e3029-612c-434e-a92b-f5c481476e25.json b/data/hfopenllm_v2/BenevolenceMessiah/Qwen2.5-72B-2x-Instruct-TIES-v1.0/ad8e3029-612c-434e-a92b-f5c481476e25.json
deleted file mode 100644
index a52b1123b..000000000
--- a/data/hfopenllm_v2/BenevolenceMessiah/Qwen2.5-72B-2x-Instruct-TIES-v1.0/ad8e3029-612c-434e-a92b-f5c481476e25.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/BenevolenceMessiah_Qwen2.5-72B-2x-Instruct-TIES-v1.0/1762652579.4945831",
-  "retrieved_timestamp": "1762652579.494584",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "BenevolenceMessiah/Qwen2.5-72B-2x-Instruct-TIES-v1.0",
-    "developer": "BenevolenceMessiah",
-    "inference_platform": "unknown",
-    "id": "BenevolenceMessiah/Qwen2.5-72B-2x-Instruct-TIES-v1.0",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 72.7
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5473499204333391
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.727311411382245
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5785498489425982
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3674496644295302
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4206666666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5628324468085106
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/BenevolenceMessiah/Qwen2.5-72B-2x-Instruct-TIES-v1.0/ec91b122-c8f5-4dfb-94fd-336ef78c3e14.json b/data/hfopenllm_v2/BenevolenceMessiah/Qwen2.5-72B-2x-Instruct-TIES-v1.0/ec91b122-c8f5-4dfb-94fd-336ef78c3e14.json
new file mode 100644
index 000000000..7d796c600
--- /dev/null
+++ b/data/hfopenllm_v2/BenevolenceMessiah/Qwen2.5-72B-2x-Instruct-TIES-v1.0/ec91b122-c8f5-4dfb-94fd-336ef78c3e14.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/BenevolenceMessiah_Qwen2.5-72B-2x-Instruct-TIES-v1.0/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-72B-2x-Instruct-TIES-v1.0",
+    "id": "BenevolenceMessiah/Qwen2.5-72B-2x-Instruct-TIES-v1.0",
+    "developer": "BenevolenceMessiah",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 72.7
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5473
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7273
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5785
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3674
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4207
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5628
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/BenevolenceMessiah/Yi-Coder-9B-Chat-Instruct-TIES-MoE-v1.0/114f246a-6049-40bf-ad86-9a822d13cf74.json b/data/hfopenllm_v2/BenevolenceMessiah/Yi-Coder-9B-Chat-Instruct-TIES-MoE-v1.0/114f246a-6049-40bf-ad86-9a822d13cf74.json
new file mode 100644
index 000000000..49b763b11
--- /dev/null
+++ b/data/hfopenllm_v2/BenevolenceMessiah/Yi-Coder-9B-Chat-Instruct-TIES-MoE-v1.0/114f246a-6049-40bf-ad86-9a822d13cf74.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/BenevolenceMessiah_Yi-Coder-9B-Chat-Instruct-TIES-MoE-v1.0/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Yi-Coder-9B-Chat-Instruct-TIES-MoE-v1.0",
+    "id": "BenevolenceMessiah/Yi-Coder-9B-Chat-Instruct-TIES-MoE-v1.0",
+    "developer": "BenevolenceMessiah",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MixtralForCausalLM",
+      "params_billions": 28.309
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3012
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4909
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0415
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2626
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.408
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.268
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/BenevolenceMessiah/Yi-Coder-9B-Chat-Instruct-TIES-MoE-v1.0/129ba653-ec88-46f2-8828-77e320b922c6.json b/data/hfopenllm_v2/BenevolenceMessiah/Yi-Coder-9B-Chat-Instruct-TIES-MoE-v1.0/129ba653-ec88-46f2-8828-77e320b922c6.json
deleted file mode 100644
index 9adece7da..000000000
--- a/data/hfopenllm_v2/BenevolenceMessiah/Yi-Coder-9B-Chat-Instruct-TIES-MoE-v1.0/129ba653-ec88-46f2-8828-77e320b922c6.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/BenevolenceMessiah_Yi-Coder-9B-Chat-Instruct-TIES-MoE-v1.0/1762652579.4948769",
-  "retrieved_timestamp": "1762652579.494878",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "BenevolenceMessiah/Yi-Coder-9B-Chat-Instruct-TIES-MoE-v1.0",
-    "developer": "BenevolenceMessiah",
-    "inference_platform": "unknown",
-    "id": "BenevolenceMessiah/Yi-Coder-9B-Chat-Instruct-TIES-MoE-v1.0",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MixtralForCausalLM",
-      "params_billions": 28.309
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3011531624977283
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4908666248538678
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.04154078549848943
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2625838926174497
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4079791666666666
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.26803523936170215
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/BlackBeenie/Bloslain-8B-v0.2/160fb625-9c1c-40c1-ab93-7d9f7a2220d2.json b/data/hfopenllm_v2/BlackBeenie/Bloslain-8B-v0.2/160fb625-9c1c-40c1-ab93-7d9f7a2220d2.json
deleted file mode 100644
index d1ab9bfda..000000000
--- a/data/hfopenllm_v2/BlackBeenie/Bloslain-8B-v0.2/160fb625-9c1c-40c1-ab93-7d9f7a2220d2.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/BlackBeenie_Bloslain-8B-v0.2/1762652579.495104",
-  "retrieved_timestamp": "1762652579.495104",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "BlackBeenie/Bloslain-8B-v0.2",
-    "developer": "BlackBeenie",
-    "inference_platform": "unknown",
-    "id": "BlackBeenie/Bloslain-8B-v0.2",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5023371321427147
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.511087946253543
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.14501510574018128
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3062080536912752
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4075729166666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3653590425531915
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/BlackBeenie/Bloslain-8B-v0.2/82d28a3a-44f2-463f-a1b8-7e9079ec47b7.json b/data/hfopenllm_v2/BlackBeenie/Bloslain-8B-v0.2/82d28a3a-44f2-463f-a1b8-7e9079ec47b7.json
new file mode 100644
index 000000000..40f3caa9f
--- /dev/null
+++ b/data/hfopenllm_v2/BlackBeenie/Bloslain-8B-v0.2/82d28a3a-44f2-463f-a1b8-7e9079ec47b7.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/BlackBeenie_Bloslain-8B-v0.2/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Bloslain-8B-v0.2",
+    "id": "BlackBeenie/Bloslain-8B-v0.2",
+    "developer": "BlackBeenie",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5023
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5111
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.145
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3062
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4076
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3654
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/BlackBeenie/Llama-3.1-8B-OpenO1-SFT-v0.1/b298e0fc-f4fb-4464-beb8-45f8b5f35653.json b/data/hfopenllm_v2/BlackBeenie/Llama-3.1-8B-OpenO1-SFT-v0.1/b298e0fc-f4fb-4464-beb8-45f8b5f35653.json
deleted file mode 100644
index 189742bf4..000000000
--- a/data/hfopenllm_v2/BlackBeenie/Llama-3.1-8B-OpenO1-SFT-v0.1/b298e0fc-f4fb-4464-beb8-45f8b5f35653.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/BlackBeenie_Llama-3.1-8B-OpenO1-SFT-v0.1/1762652579.495378",
-  "retrieved_timestamp": "1762652579.495378",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "BlackBeenie/Llama-3.1-8B-OpenO1-SFT-v0.1",
-    "developer": "BlackBeenie",
-    "inference_platform": "unknown",
-    "id": "BlackBeenie/Llama-3.1-8B-OpenO1-SFT-v0.1",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5124037553690873
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4787448361604986
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.15256797583081572
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2684563758389262
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.36181250000000004
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.34915226063829785
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/BlackBeenie/Llama-3.1-8B-OpenO1-SFT-v0.1/ed3c1349-a154-4866-890f-2b115ffaf127.json b/data/hfopenllm_v2/BlackBeenie/Llama-3.1-8B-OpenO1-SFT-v0.1/ed3c1349-a154-4866-890f-2b115ffaf127.json
new file mode 100644
index 000000000..ce32e3e07
--- /dev/null
+++ b/data/hfopenllm_v2/BlackBeenie/Llama-3.1-8B-OpenO1-SFT-v0.1/ed3c1349-a154-4866-890f-2b115ffaf127.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/BlackBeenie_Llama-3.1-8B-OpenO1-SFT-v0.1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-3.1-8B-OpenO1-SFT-v0.1",
+    "id": "BlackBeenie/Llama-3.1-8B-OpenO1-SFT-v0.1",
+    "developer": "BlackBeenie",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5124
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4787
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1526
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2685
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
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diff --git a/data/hfopenllm_v2/BlackBeenie/Llama-3.1-8B-pythonic-passthrough-merge/47942c55-5ddb-4fda-9c5b-34676ae2046a.json b/data/hfopenllm_v2/BlackBeenie/Llama-3.1-8B-pythonic-passthrough-merge/47942c55-5ddb-4fda-9c5b-34676ae2046a.json
new file mode 100644
index 000000000..3447f8e90
--- /dev/null
+++ b/data/hfopenllm_v2/BlackBeenie/Llama-3.1-8B-pythonic-passthrough-merge/47942c55-5ddb-4fda-9c5b-34676ae2046a.json
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diff --git a/data/hfopenllm_v2/BlackBeenie/Neos-Gemma-2-9b/d860210b-4c8a-4d15-ad3a-4e39905f91ed.json b/data/hfopenllm_v2/BlackBeenie/Neos-Gemma-2-9b/d860210b-4c8a-4d15-ad3a-4e39905f91ed.json
new file mode 100644
index 000000000..7ae80464f
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/BlackBeenie/Neos-Llama-3.1-8B/d137f429-2b65-4ee9-9d66-3f619b270fad.json b/data/hfopenllm_v2/BlackBeenie/Neos-Llama-3.1-8B/d137f429-2b65-4ee9-9d66-3f619b270fad.json
new file mode 100644
index 000000000..d7f22bbd1
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+++ b/data/hfopenllm_v2/BlackBeenie/Neos-Llama-3.1-8B/d137f429-2b65-4ee9-9d66-3f619b270fad.json
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diff --git a/data/hfopenllm_v2/BlackBeenie/Neos-Llama-3.1-base/1da10dfe-b0a3-4cb8-aaa3-e16d48f3aab4.json b/data/hfopenllm_v2/BlackBeenie/Neos-Llama-3.1-base/1da10dfe-b0a3-4cb8-aaa3-e16d48f3aab4.json
new file mode 100644
index 000000000..4db1b8828
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/BlackBeenie/Neos-Phi-3-14B-v0.1/6156a0d2-4c32-40b2-9624-ef0c7a6a95bb.json b/data/hfopenllm_v2/BlackBeenie/Neos-Phi-3-14B-v0.1/6156a0d2-4c32-40b2-9624-ef0c7a6a95bb.json
new file mode 100644
index 000000000..5db8afdb2
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
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+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "max_score": 1.0
+      },
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+      }
+    },
+    {
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "max_score": 1.0
+      },
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+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "max_score": 1.0
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+    {
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+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
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+        "score_type": "continuous",
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+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4564
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/BlackBeenie/llama-3-luminous-merged/676342d2-f37a-4b6a-967d-3ac750243470.json b/data/hfopenllm_v2/BlackBeenie/llama-3-luminous-merged/676342d2-f37a-4b6a-967d-3ac750243470.json
new file mode 100644
index 000000000..2c979d2a9
--- /dev/null
+++ b/data/hfopenllm_v2/BlackBeenie/llama-3-luminous-merged/676342d2-f37a-4b6a-967d-3ac750243470.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/BlackBeenie_llama-3-luminous-merged/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "llama-3-luminous-merged",
+    "id": "BlackBeenie/llama-3-luminous-merged",
+    "developer": "BlackBeenie",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4323
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5154
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4149
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3773
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/BlackBeenie/llama-3.1-8B-Galore-openassistant-guanaco/950b7108-0192-4875-b4e9-c3e43ab71e08.json b/data/hfopenllm_v2/BlackBeenie/llama-3.1-8B-Galore-openassistant-guanaco/950b7108-0192-4875-b4e9-c3e43ab71e08.json
new file mode 100644
index 000000000..776b081c0
--- /dev/null
+++ b/data/hfopenllm_v2/BlackBeenie/llama-3.1-8B-Galore-openassistant-guanaco/950b7108-0192-4875-b4e9-c3e43ab71e08.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/BlackBeenie_llama-3.1-8B-Galore-openassistant-guanaco/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "llama-3.1-8B-Galore-openassistant-guanaco",
+    "id": "BlackBeenie/llama-3.1-8B-Galore-openassistant-guanaco",
+    "developer": "BlackBeenie",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2635
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5213
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+      }
+    },
+    {
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3003
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4406
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3206
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Bllossom/llama-3.2-Korean-Bllossom-AICA-5B/85672df5-2f35-43be-8648-9937c66872dc.json b/data/hfopenllm_v2/Bllossom/llama-3.2-Korean-Bllossom-AICA-5B/85672df5-2f35-43be-8648-9937c66872dc.json
new file mode 100644
index 000000000..2f5bfbf50
--- /dev/null
+++ b/data/hfopenllm_v2/Bllossom/llama-3.2-Korean-Bllossom-AICA-5B/85672df5-2f35-43be-8648-9937c66872dc.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Bllossom_llama-3.2-Korean-Bllossom-AICA-5B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "llama-3.2-Korean-Bllossom-AICA-5B",
+    "id": "Bllossom/llama-3.2-Korean-Bllossom-AICA-5B",
+    "developer": "Bllossom",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MllamaForConditionalGeneration",
+      "params_billions": 5.199
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5172
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4293
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1239
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2987
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3834
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.271
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/BoltMonkey/DreadMix/051c5642-3b23-4879-9d10-639d1b3127d7.json b/data/hfopenllm_v2/BoltMonkey/DreadMix/051c5642-3b23-4879-9d10-639d1b3127d7.json
new file mode 100644
index 000000000..7ccd4a48e
--- /dev/null
+++ b/data/hfopenllm_v2/BoltMonkey/DreadMix/051c5642-3b23-4879-9d10-639d1b3127d7.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/BoltMonkey_DreadMix/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "DreadMix",
+    "id": "BoltMonkey/DreadMix",
+    "developer": "BoltMonkey",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7095
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5435
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1556
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2995
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4212
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.379
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/BoltMonkey/DreadMix/e6b5e728-28a4-444a-8b6b-89d29b7b5225.json b/data/hfopenllm_v2/BoltMonkey/DreadMix/e6b5e728-28a4-444a-8b6b-89d29b7b5225.json
deleted file mode 100644
index 94510270e..000000000
--- a/data/hfopenllm_v2/BoltMonkey/DreadMix/e6b5e728-28a4-444a-8b6b-89d29b7b5225.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/BoltMonkey_DreadMix/1762652579.497959",
-  "retrieved_timestamp": "1762652579.497961",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "BoltMonkey/DreadMix",
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-    "inference_platform": "unknown",
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diff --git a/data/hfopenllm_v2/BoltMonkey/NeuralDaredevil-SuperNova-Lite-7B-DARETIES-abliterated/2acf0d12-7e0c-46dc-a079-ebc48a8818d3.json b/data/hfopenllm_v2/BoltMonkey/NeuralDaredevil-SuperNova-Lite-7B-DARETIES-abliterated/2acf0d12-7e0c-46dc-a079-ebc48a8818d3.json
new file mode 100644
index 000000000..7730b26d1
--- /dev/null
+++ b/data/hfopenllm_v2/BoltMonkey/NeuralDaredevil-SuperNova-Lite-7B-DARETIES-abliterated/2acf0d12-7e0c-46dc-a079-ebc48a8818d3.json
@@ -0,0 +1,132 @@
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+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
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+      },
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+      },
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/BoltMonkey/NeuralDaredevil-SuperNova-Lite-7B-DARETIES-abliterated/8ce42090-006e-4e08-8d3f-5b1eb0b8da0b.json b/data/hfopenllm_v2/BoltMonkey/NeuralDaredevil-SuperNova-Lite-7B-DARETIES-abliterated/8ce42090-006e-4e08-8d3f-5b1eb0b8da0b.json
new file mode 100644
index 000000000..0ea3c09c9
--- /dev/null
+++ b/data/hfopenllm_v2/BoltMonkey/NeuralDaredevil-SuperNova-Lite-7B-DARETIES-abliterated/8ce42090-006e-4e08-8d3f-5b1eb0b8da0b.json
@@ -0,0 +1,132 @@
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+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
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+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "NeuralDaredevil-SuperNova-Lite-7B-DARETIES-abliterated",
+    "id": "BoltMonkey/NeuralDaredevil-SuperNova-Lite-7B-DARETIES-abliterated",
+    "developer": "BoltMonkey",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
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+    }
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+  "evaluation_results": [
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+        "lower_is_better": false,
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+        "hf_repo": "SaylorTwift/bbh"
+      },
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+        "max_score": 1.0
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+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
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+        "hf_repo": "Idavidrein/gpqa"
+      },
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+        "evaluation_description": "Accuracy on GPQA",
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
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+        "hf_repo": "TIGER-Lab/MMLU-Pro"
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/BoltMonkey/NeuralDaredevil-SuperNova-Lite-7B-DARETIES-abliterated/d9e3bd73-cd7e-46d4-9e62-0cfac178f62a.json b/data/hfopenllm_v2/BoltMonkey/NeuralDaredevil-SuperNova-Lite-7B-DARETIES-abliterated/d9e3bd73-cd7e-46d4-9e62-0cfac178f62a.json
deleted file mode 100644
index 0375cdb01..000000000
--- a/data/hfopenllm_v2/BoltMonkey/NeuralDaredevil-SuperNova-Lite-7B-DARETIES-abliterated/d9e3bd73-cd7e-46d4-9e62-0cfac178f62a.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/BoltMonkey/NeuralDaredevil-SuperNova-Lite-7B-DARETIES-abliterated/f83a5d67-b967-47c8-b76e-b58c445a3634.json b/data/hfopenllm_v2/BoltMonkey/NeuralDaredevil-SuperNova-Lite-7B-DARETIES-abliterated/f83a5d67-b967-47c8-b76e-b58c445a3634.json
deleted file mode 100644
index a2cb9def6..000000000
--- a/data/hfopenllm_v2/BoltMonkey/NeuralDaredevil-SuperNova-Lite-7B-DARETIES-abliterated/f83a5d67-b967-47c8-b76e-b58c445a3634.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-    "name": "BoltMonkey/NeuralDaredevil-SuperNova-Lite-7B-DARETIES-abliterated",
-    "developer": "BoltMonkey",
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-    "id": "BoltMonkey/NeuralDaredevil-SuperNova-Lite-7B-DARETIES-abliterated",
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diff --git a/data/hfopenllm_v2/BoltMonkey/SuperNeuralDreadDevil-8b/2ad0eebb-31e3-4f28-aba6-073f33d5cbed.json b/data/hfopenllm_v2/BoltMonkey/SuperNeuralDreadDevil-8b/2ad0eebb-31e3-4f28-aba6-073f33d5cbed.json
deleted file mode 100644
index c04530c2b..000000000
--- a/data/hfopenllm_v2/BoltMonkey/SuperNeuralDreadDevil-8b/2ad0eebb-31e3-4f28-aba6-073f33d5cbed.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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new file mode 100644
index 000000000..00d308164
--- /dev/null
+++ b/data/hfopenllm_v2/BoltMonkey/SuperNeuralDreadDevil-8b/703df6c3-dae4-437f-9379-f8c264797adc.json
@@ -0,0 +1,132 @@
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/BrainWave-ML/llama3.2-3B-maths-orpo/1e349ad3-d29b-4a4b-97e7-b82055e41b07.json b/data/hfopenllm_v2/BrainWave-ML/llama3.2-3B-maths-orpo/1e349ad3-d29b-4a4b-97e7-b82055e41b07.json
new file mode 100644
index 000000000..4d4697ad4
--- /dev/null
+++ b/data/hfopenllm_v2/BrainWave-ML/llama3.2-3B-maths-orpo/1e349ad3-d29b-4a4b-97e7-b82055e41b07.json
@@ -0,0 +1,132 @@
+{
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+  "source_metadata": {
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+  "model_info": {
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+    "developer": "BrainWave-ML",
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/BramVanroy/GEITje-7B-ultra/8f677a76-932c-4c35-9708-4b723226aa19.json b/data/hfopenllm_v2/BramVanroy/GEITje-7B-ultra/8f677a76-932c-4c35-9708-4b723226aa19.json
new file mode 100644
index 000000000..876af8a9c
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+++ b/data/hfopenllm_v2/BramVanroy/GEITje-7B-ultra/8f677a76-932c-4c35-9708-4b723226aa19.json
@@ -0,0 +1,132 @@
+{
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/BramVanroy/GEITje-7B-ultra/efcc28d3-ca6a-4100-afd2-75f9925354ba.json b/data/hfopenllm_v2/BramVanroy/GEITje-7B-ultra/efcc28d3-ca6a-4100-afd2-75f9925354ba.json
deleted file mode 100644
index 34227e08b..000000000
--- a/data/hfopenllm_v2/BramVanroy/GEITje-7B-ultra/efcc28d3-ca6a-4100-afd2-75f9925354ba.json
+++ /dev/null
@@ -1,105 +0,0 @@
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-    "id": "BramVanroy/GEITje-7B-ultra",
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diff --git a/data/hfopenllm_v2/BramVanroy/fietje-2-chat/ebfe625f-ff1f-45f9-826c-9351ea4134e1.json b/data/hfopenllm_v2/BramVanroy/fietje-2-chat/ebfe625f-ff1f-45f9-826c-9351ea4134e1.json
new file mode 100644
index 000000000..3c12f59b5
--- /dev/null
+++ b/data/hfopenllm_v2/BramVanroy/fietje-2-chat/ebfe625f-ff1f-45f9-826c-9351ea4134e1.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/BramVanroy_fietje-2-chat/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "fietje-2-chat",
+    "id": "BramVanroy/fietje-2-chat",
+    "developer": "BramVanroy",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "PhiForCausalLM",
+      "params_billions": 2.775
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+  },
+  "evaluation_results": [
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+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0189
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2399
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3528
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2055
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/BramVanroy/fietje-2-chat/faf20d1a-5a92-49b2-be69-903cafb9460a.json b/data/hfopenllm_v2/BramVanroy/fietje-2-chat/faf20d1a-5a92-49b2-be69-903cafb9460a.json
deleted file mode 100644
index 4e5c37ecb..000000000
--- a/data/hfopenllm_v2/BramVanroy/fietje-2-chat/faf20d1a-5a92-49b2-be69-903cafb9460a.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/BramVanroy_fietje-2-chat/1762652579.500146",
-  "retrieved_timestamp": "1762652579.5001469",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "BramVanroy/fietje-2-chat",
-    "developer": "BramVanroy",
-    "inference_platform": "unknown",
-    "id": "BramVanroy/fietje-2-chat",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "PhiForCausalLM",
-      "params_billions": 2.775
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2917359273394593
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4149753717401999
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.0188821752265861
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.23993288590604026
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3527604166666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.20545212765957446
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/BramVanroy/fietje-2-instruct/03e122da-30cc-4c2e-9b44-8261c3f2a934.json b/data/hfopenllm_v2/BramVanroy/fietje-2-instruct/03e122da-30cc-4c2e-9b44-8261c3f2a934.json
deleted file mode 100644
index c9a14a26e..000000000
--- a/data/hfopenllm_v2/BramVanroy/fietje-2-instruct/03e122da-30cc-4c2e-9b44-8261c3f2a934.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/BramVanroy_fietje-2-instruct/1762652579.500353",
-  "retrieved_timestamp": "1762652579.500354",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "BramVanroy/fietje-2-instruct",
-    "developer": "BramVanroy",
-    "inference_platform": "unknown",
-    "id": "BramVanroy/fietje-2-instruct",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "PhiForCausalLM",
-      "params_billions": 2.775
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2789963962286732
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41360714173029806
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.022658610271903322
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2332214765100671
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3369166666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2103557180851064
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/BramVanroy/fietje-2-instruct/66e6a757-ac22-47f3-82ce-81af45e1d3cf.json b/data/hfopenllm_v2/BramVanroy/fietje-2-instruct/66e6a757-ac22-47f3-82ce-81af45e1d3cf.json
new file mode 100644
index 000000000..667f588bf
--- /dev/null
+++ b/data/hfopenllm_v2/BramVanroy/fietje-2-instruct/66e6a757-ac22-47f3-82ce-81af45e1d3cf.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/BramVanroy_fietje-2-instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "fietje-2-instruct",
+    "id": "BramVanroy/fietje-2-instruct",
+    "developer": "BramVanroy",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "PhiForCausalLM",
+      "params_billions": 2.775
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.279
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4136
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0227
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2332
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3369
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2104
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/BramVanroy/fietje-2/1cd840c7-d432-495c-a3df-af1fa6264259.json b/data/hfopenllm_v2/BramVanroy/fietje-2/1cd840c7-d432-495c-a3df-af1fa6264259.json
new file mode 100644
index 000000000..9d714f7c1
--- /dev/null
+++ b/data/hfopenllm_v2/BramVanroy/fietje-2/1cd840c7-d432-495c-a3df-af1fa6264259.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/BramVanroy_fietje-2/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "fietje-2",
+    "id": "BramVanroy/fietje-2",
+    "developer": "BramVanroy",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "PhiForCausalLM",
+      "params_billions": 2.78
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2098
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4036
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0159
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2542
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3696
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1986
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/BramVanroy/fietje-2/3712e2c3-0ed1-4dc9-95fc-4be0bec18675.json b/data/hfopenllm_v2/BramVanroy/fietje-2/3712e2c3-0ed1-4dc9-95fc-4be0bec18675.json
deleted file mode 100644
index 2603bb106..000000000
--- a/data/hfopenllm_v2/BramVanroy/fietje-2/3712e2c3-0ed1-4dc9-95fc-4be0bec18675.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/BramVanroy_fietje-2/1762652579.499938",
-  "retrieved_timestamp": "1762652579.499939",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "BramVanroy/fietje-2",
-    "developer": "BramVanroy",
-    "inference_platform": "unknown",
-    "id": "BramVanroy/fietje-2",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "PhiForCausalLM",
-      "params_billions": 2.78
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.20980332185268422
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.40356695178386187
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.015861027190332326
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.25419463087248323
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3695625
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
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diff --git a/data/hfopenllm_v2/CYFRAGOVPL/Llama-PLLuM-8B-base/066f520f-9a64-4564-abfc-6435732c3585.json b/data/hfopenllm_v2/CYFRAGOVPL/Llama-PLLuM-8B-base/066f520f-9a64-4564-abfc-6435732c3585.json
new file mode 100644
index 000000000..72e310100
--- /dev/null
+++ b/data/hfopenllm_v2/CYFRAGOVPL/Llama-PLLuM-8B-base/066f520f-9a64-4564-abfc-6435732c3585.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/CYFRAGOVPL_Llama-PLLuM-8B-base/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-PLLuM-8B-base",
+    "id": "CYFRAGOVPL/Llama-PLLuM-8B-base",
+    "developer": "CYFRAGOVPL",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2899
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.432
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
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+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.397
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2757
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/CYFRAGOVPL/Llama-PLLuM-8B-chat/aced5181-040a-48c0-bc5f-78d0de3afae8.json b/data/hfopenllm_v2/CYFRAGOVPL/Llama-PLLuM-8B-chat/aced5181-040a-48c0-bc5f-78d0de3afae8.json
new file mode 100644
index 000000000..8c1a7d263
--- /dev/null
+++ b/data/hfopenllm_v2/CYFRAGOVPL/Llama-PLLuM-8B-chat/aced5181-040a-48c0-bc5f-78d0de3afae8.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/CYFRAGOVPL_Llama-PLLuM-8B-chat/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-PLLuM-8B-chat",
+    "id": "CYFRAGOVPL/Llama-PLLuM-8B-chat",
+    "developer": "CYFRAGOVPL",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3515
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4077
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
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+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2643
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4199
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2719
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/CYFRAGOVPL/Llama-PLLuM-8B-chat/cb833a8b-81d7-41a6-bff2-9d0927703113.json b/data/hfopenllm_v2/CYFRAGOVPL/Llama-PLLuM-8B-chat/cb833a8b-81d7-41a6-bff2-9d0927703113.json
deleted file mode 100644
index 4868734ae..000000000
--- a/data/hfopenllm_v2/CYFRAGOVPL/Llama-PLLuM-8B-chat/cb833a8b-81d7-41a6-bff2-9d0927703113.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/CYFRAGOVPL_Llama-PLLuM-8B-chat/1762652579.5008068",
-  "retrieved_timestamp": "1762652579.500808",
-  "source_data": [
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-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "CYFRAGOVPL/Llama-PLLuM-8B-chat",
-    "developer": "CYFRAGOVPL",
-    "inference_platform": "unknown",
-    "id": "CYFRAGOVPL/Llama-PLLuM-8B-chat",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
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-        "lower_is_better": false,
-        "score_type": "continuous",
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
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-    }
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-}
diff --git a/data/hfopenllm_v2/CYFRAGOVPL/PLLuM-12B-base/76833817-781e-4292-9fe8-5e8a1da7f962.json b/data/hfopenllm_v2/CYFRAGOVPL/PLLuM-12B-base/76833817-781e-4292-9fe8-5e8a1da7f962.json
deleted file mode 100644
index 3838a9961..000000000
--- a/data/hfopenllm_v2/CYFRAGOVPL/PLLuM-12B-base/76833817-781e-4292-9fe8-5e8a1da7f962.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/CYFRAGOVPL_PLLuM-12B-base/1762652579.501051",
-  "retrieved_timestamp": "1762652579.501052",
-  "source_data": [
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-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "CYFRAGOVPL/PLLuM-12B-base",
-    "developer": "CYFRAGOVPL",
-    "inference_platform": "unknown",
-    "id": "CYFRAGOVPL/PLLuM-12B-base",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 12.248
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
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-        "lower_is_better": false,
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-        "score": 0.028700906344410877
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
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-        "score_type": "continuous",
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-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2902684563758389
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4142395833333334
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2740192819148936
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/CYFRAGOVPL/PLLuM-12B-base/a4889a38-84d2-4ae1-b8a9-297b4400602d.json b/data/hfopenllm_v2/CYFRAGOVPL/PLLuM-12B-base/a4889a38-84d2-4ae1-b8a9-297b4400602d.json
new file mode 100644
index 000000000..ec8ff80a8
--- /dev/null
+++ b/data/hfopenllm_v2/CYFRAGOVPL/PLLuM-12B-base/a4889a38-84d2-4ae1-b8a9-297b4400602d.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/CYFRAGOVPL_PLLuM-12B-base/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "PLLuM-12B-base",
+    "id": "CYFRAGOVPL/PLLuM-12B-base",
+    "developer": "CYFRAGOVPL",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 12.248
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2821
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4391
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0287
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2903
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4142
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.274
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/CYFRAGOVPL/PLLuM-12B-chat/6e325f0f-b5db-4773-8179-7e949bd3f5f2.json b/data/hfopenllm_v2/CYFRAGOVPL/PLLuM-12B-chat/6e325f0f-b5db-4773-8179-7e949bd3f5f2.json
deleted file mode 100644
index 822d066ac..000000000
--- a/data/hfopenllm_v2/CYFRAGOVPL/PLLuM-12B-chat/6e325f0f-b5db-4773-8179-7e949bd3f5f2.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/CYFRAGOVPL_PLLuM-12B-chat/1762652579.501271",
-  "retrieved_timestamp": "1762652579.501272",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "CYFRAGOVPL/PLLuM-12B-chat",
-    "developer": "CYFRAGOVPL",
-    "inference_platform": "unknown",
-    "id": "CYFRAGOVPL/PLLuM-12B-chat",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 12.248
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.32143601200370575
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.44458000333075703
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.01812688821752266
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2600671140939597
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4114791666666666
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2872340425531915
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/CYFRAGOVPL/PLLuM-12B-chat/d540505a-c67b-4b72-a53a-c03aa6f8d3e7.json b/data/hfopenllm_v2/CYFRAGOVPL/PLLuM-12B-chat/d540505a-c67b-4b72-a53a-c03aa6f8d3e7.json
new file mode 100644
index 000000000..b607ed69c
--- /dev/null
+++ b/data/hfopenllm_v2/CYFRAGOVPL/PLLuM-12B-chat/d540505a-c67b-4b72-a53a-c03aa6f8d3e7.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/CYFRAGOVPL_PLLuM-12B-chat/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "PLLuM-12B-chat",
+    "id": "CYFRAGOVPL/PLLuM-12B-chat",
+    "developer": "CYFRAGOVPL",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 12.248
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3214
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4446
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0181
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2601
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4115
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2872
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/CYFRAGOVPL/PLLuM-12B-nc-base/9859afee-02ca-4c48-acc8-acfd20c37e4e.json b/data/hfopenllm_v2/CYFRAGOVPL/PLLuM-12B-nc-base/9859afee-02ca-4c48-acc8-acfd20c37e4e.json
new file mode 100644
index 000000000..d200117b7
--- /dev/null
+++ b/data/hfopenllm_v2/CYFRAGOVPL/PLLuM-12B-nc-base/9859afee-02ca-4c48-acc8-acfd20c37e4e.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/CYFRAGOVPL_PLLuM-12B-nc-base/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "PLLuM-12B-nc-base",
+    "id": "CYFRAGOVPL/PLLuM-12B-nc-base",
+    "developer": "CYFRAGOVPL",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 12.248
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2405
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4277
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0219
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2701
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3645
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2559
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/CYFRAGOVPL/PLLuM-12B-nc-base/e9b90a3b-09c6-4d3b-9aa3-6279ea3cccb5.json b/data/hfopenllm_v2/CYFRAGOVPL/PLLuM-12B-nc-base/e9b90a3b-09c6-4d3b-9aa3-6279ea3cccb5.json
deleted file mode 100644
index d1f838bb0..000000000
--- a/data/hfopenllm_v2/CYFRAGOVPL/PLLuM-12B-nc-base/e9b90a3b-09c6-4d3b-9aa3-6279ea3cccb5.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/CYFRAGOVPL_PLLuM-12B-nc-base/1762652579.501493",
-  "retrieved_timestamp": "1762652579.501494",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "CYFRAGOVPL/PLLuM-12B-nc-base",
-    "developer": "CYFRAGOVPL",
-    "inference_platform": "unknown",
-    "id": "CYFRAGOVPL/PLLuM-12B-nc-base",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 12.248
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.24045310886226323
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42767589675970014
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.02190332326283988
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2701342281879195
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.36451041666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.25590093085106386
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/CYFRAGOVPL/PLLuM-12B-nc-chat/e222d12b-c796-4890-a584-cd689bae7ea6.json b/data/hfopenllm_v2/CYFRAGOVPL/PLLuM-12B-nc-chat/e222d12b-c796-4890-a584-cd689bae7ea6.json
new file mode 100644
index 000000000..2eaeab787
--- /dev/null
+++ b/data/hfopenllm_v2/CYFRAGOVPL/PLLuM-12B-nc-chat/e222d12b-c796-4890-a584-cd689bae7ea6.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/CYFRAGOVPL_PLLuM-12B-nc-chat/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "PLLuM-12B-nc-chat",
+    "id": "CYFRAGOVPL/PLLuM-12B-nc-chat",
+    "developer": "CYFRAGOVPL",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 12.248
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2834
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4576
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0121
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2827
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4354
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2597
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/CYFRAGOVPL/PLLuM-12B-nc-chat/fd19dada-5945-45d5-8a84-122404b8dd57.json b/data/hfopenllm_v2/CYFRAGOVPL/PLLuM-12B-nc-chat/fd19dada-5945-45d5-8a84-122404b8dd57.json
deleted file mode 100644
index 96541c70c..000000000
--- a/data/hfopenllm_v2/CYFRAGOVPL/PLLuM-12B-nc-chat/fd19dada-5945-45d5-8a84-122404b8dd57.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/CYFRAGOVPL_PLLuM-12B-nc-chat/1762652579.501705",
-  "retrieved_timestamp": "1762652579.501706",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "CYFRAGOVPL/PLLuM-12B-nc-chat",
-    "developer": "CYFRAGOVPL",
-    "inference_platform": "unknown",
-    "id": "CYFRAGOVPL/PLLuM-12B-nc-chat",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 12.248
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.28344237733657807
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.45764328318815456
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.012084592145015106
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2827181208053691
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4353541666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.25972406914893614
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/CarrotAI/Llama-3.2-Rabbit-Ko-3B-Instruct-2412/41809335-e00c-4911-bc08-6edd71891585.json b/data/hfopenllm_v2/CarrotAI/Llama-3.2-Rabbit-Ko-3B-Instruct-2412/41809335-e00c-4911-bc08-6edd71891585.json
deleted file mode 100644
index 31f534951..000000000
--- a/data/hfopenllm_v2/CarrotAI/Llama-3.2-Rabbit-Ko-3B-Instruct-2412/41809335-e00c-4911-bc08-6edd71891585.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/CarrotAI_Llama-3.2-Rabbit-Ko-3B-Instruct-2412/1762652579.5021691",
-  "retrieved_timestamp": "1762652579.50217",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "CarrotAI/Llama-3.2-Rabbit-Ko-3B-Instruct-2412",
-    "developer": "CarrotAI",
-    "inference_platform": "unknown",
-    "id": "CarrotAI/Llama-3.2-Rabbit-Ko-3B-Instruct-2412",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 3.213
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.47818233398493776
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.43577246498246686
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.17598187311178248
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.29278523489932884
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3872083333333334
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.31341422872340424
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/CarrotAI/Llama-3.2-Rabbit-Ko-3B-Instruct-2412/c16850f8-0b80-4455-8f38-8ec453cd1d41.json b/data/hfopenllm_v2/CarrotAI/Llama-3.2-Rabbit-Ko-3B-Instruct-2412/c16850f8-0b80-4455-8f38-8ec453cd1d41.json
new file mode 100644
index 000000000..49e80d94c
--- /dev/null
+++ b/data/hfopenllm_v2/CarrotAI/Llama-3.2-Rabbit-Ko-3B-Instruct-2412/c16850f8-0b80-4455-8f38-8ec453cd1d41.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/CarrotAI_Llama-3.2-Rabbit-Ko-3B-Instruct-2412/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-3.2-Rabbit-Ko-3B-Instruct-2412",
+    "id": "CarrotAI/Llama-3.2-Rabbit-Ko-3B-Instruct-2412",
+    "developer": "CarrotAI",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 3.213
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4782
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4358
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.176
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2928
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3872
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3134
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/CarrotAI/Llama-3.2-Rabbit-Ko-3B-Instruct/0d400b0f-cc82-4c86-b600-93a31b133f9d.json b/data/hfopenllm_v2/CarrotAI/Llama-3.2-Rabbit-Ko-3B-Instruct/0d400b0f-cc82-4c86-b600-93a31b133f9d.json
new file mode 100644
index 000000000..727b90c2f
--- /dev/null
+++ b/data/hfopenllm_v2/CarrotAI/Llama-3.2-Rabbit-Ko-3B-Instruct/0d400b0f-cc82-4c86-b600-93a31b133f9d.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/CarrotAI_Llama-3.2-Rabbit-Ko-3B-Instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-3.2-Rabbit-Ko-3B-Instruct",
+    "id": "CarrotAI/Llama-3.2-Rabbit-Ko-3B-Instruct",
+    "developer": "CarrotAI",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 3.213
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7199
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4427
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2054
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.271
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3649
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2822
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/CarrotAI/Llama-3.2-Rabbit-Ko-3B-Instruct/8c56b973-d5cb-48b6-a43e-ad50769b1f40.json b/data/hfopenllm_v2/CarrotAI/Llama-3.2-Rabbit-Ko-3B-Instruct/8c56b973-d5cb-48b6-a43e-ad50769b1f40.json
deleted file mode 100644
index fc8b80948..000000000
--- a/data/hfopenllm_v2/CarrotAI/Llama-3.2-Rabbit-Ko-3B-Instruct/8c56b973-d5cb-48b6-a43e-ad50769b1f40.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/CarrotAI_Llama-3.2-Rabbit-Ko-3B-Instruct/1762652579.501917",
-  "retrieved_timestamp": "1762652579.5019178",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "CarrotAI/Llama-3.2-Rabbit-Ko-3B-Instruct",
-    "developer": "CarrotAI",
-    "inference_platform": "unknown",
-    "id": "CarrotAI/Llama-3.2-Rabbit-Ko-3B-Instruct",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 3.213
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7198821349574684
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4426719080820793
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2054380664652568
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2709731543624161
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3649166666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2822473404255319
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Casual-Autopsy/L3-Umbral-Mind-RP-v2.0-8B/90f6f8f1-02fc-425a-8499-e9b43ae8ac59.json b/data/hfopenllm_v2/Casual-Autopsy/L3-Umbral-Mind-RP-v2.0-8B/90f6f8f1-02fc-425a-8499-e9b43ae8ac59.json
new file mode 100644
index 000000000..ea628405b
--- /dev/null
+++ b/data/hfopenllm_v2/Casual-Autopsy/L3-Umbral-Mind-RP-v2.0-8B/90f6f8f1-02fc-425a-8499-e9b43ae8ac59.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Casual-Autopsy_L3-Umbral-Mind-RP-v2.0-8B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "L3-Umbral-Mind-RP-v2.0-8B",
+    "id": "Casual-Autopsy/L3-Umbral-Mind-RP-v2.0-8B",
+    "developer": "Casual-Autopsy",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7123
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5262
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1095
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2869
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3687
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3723
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Casual-Autopsy/L3-Umbral-Mind-RP-v2.0-8B/da5c1edf-bd74-48a3-ad76-a4bd89539b7f.json b/data/hfopenllm_v2/Casual-Autopsy/L3-Umbral-Mind-RP-v2.0-8B/da5c1edf-bd74-48a3-ad76-a4bd89539b7f.json
deleted file mode 100644
index f85e8a505..000000000
--- a/data/hfopenllm_v2/Casual-Autopsy/L3-Umbral-Mind-RP-v2.0-8B/da5c1edf-bd74-48a3-ad76-a4bd89539b7f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Casual-Autopsy_L3-Umbral-Mind-RP-v2.0-8B/1762652579.502389",
-  "retrieved_timestamp": "1762652579.502389",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Casual-Autopsy/L3-Umbral-Mind-RP-v2.0-8B",
-    "developer": "Casual-Autopsy",
-    "inference_platform": "unknown",
-    "id": "Casual-Autopsy/L3-Umbral-Mind-RP-v2.0-8B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
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-        "max_score": 1
-      },
-      "score_details": {
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-      "evaluation_name": "MATH Level 5",
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-        "lower_is_better": false,
-        "score_type": "continuous",
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-        "lower_is_better": false,
-        "score_type": "continuous",
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-        "max_score": 1
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-      "score_details": {
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-    {
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-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
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-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/CausalLM/14B/6704d6bc-6d38-4c59-87a4-81d3eacde3b1.json b/data/hfopenllm_v2/CausalLM/14B/6704d6bc-6d38-4c59-87a4-81d3eacde3b1.json
new file mode 100644
index 000000000..aaa13fb97
--- /dev/null
+++ b/data/hfopenllm_v2/CausalLM/14B/6704d6bc-6d38-4c59-87a4-81d3eacde3b1.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/CausalLM_14B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "14B",
+    "id": "CausalLM/14B",
+    "developer": "CausalLM",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 14.0
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2788
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.47
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0755
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3029
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4155
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3221
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/CausalLM/14B/c4376867-854d-44fa-9215-b9c1af7612a4.json b/data/hfopenllm_v2/CausalLM/14B/c4376867-854d-44fa-9215-b9c1af7612a4.json
deleted file mode 100644
index 3613dbfcf..000000000
--- a/data/hfopenllm_v2/CausalLM/14B/c4376867-854d-44fa-9215-b9c1af7612a4.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/CausalLM_14B/1762652579.502646",
-  "retrieved_timestamp": "1762652579.502647",
-  "source_data": [
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-  "source_metadata": {
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
-    "name": "CausalLM/14B",
-    "developer": "CausalLM",
-    "inference_platform": "unknown",
-    "id": "CausalLM/14B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 14.0
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-      },
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-    {
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-    {
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-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3221409574468085
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-}
diff --git a/data/hfopenllm_v2/CausalLM/34b-beta/cc482ca4-031a-4c22-90c2-68322184125b.json b/data/hfopenllm_v2/CausalLM/34b-beta/cc482ca4-031a-4c22-90c2-68322184125b.json
deleted file mode 100644
index 1e9f0e336..000000000
--- a/data/hfopenllm_v2/CausalLM/34b-beta/cc482ca4-031a-4c22-90c2-68322184125b.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/CausalLM_34b-beta/1762652579.502916",
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-    "source_type": "documentation"
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-    "name": "CausalLM/34b-beta",
-    "developer": "CausalLM",
-    "inference_platform": "unknown",
-    "id": "CausalLM/34b-beta",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 34.389
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-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
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-        "min_score": 0,
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-      "score_details": {
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-        "score_type": "continuous",
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-      },
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-    {
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diff --git a/data/hfopenllm_v2/CausalLM/34b-beta/e8ad6ce4-7efc-499e-a2c9-9e0df898fbb9.json b/data/hfopenllm_v2/CausalLM/34b-beta/e8ad6ce4-7efc-499e-a2c9-9e0df898fbb9.json
new file mode 100644
index 000000000..19e23bb71
--- /dev/null
+++ b/data/hfopenllm_v2/CausalLM/34b-beta/e8ad6ce4-7efc-499e-a2c9-9e0df898fbb9.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/CausalLM_34b-beta/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "34b-beta",
+    "id": "CausalLM/34b-beta",
+    "developer": "CausalLM",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 34.389
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+      "score_details": {
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+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+        "score": 0.5591
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+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+      "score_details": {
+        "score": 0.0483
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+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3465
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3749
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5325
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/CausalLM/preview-1-hf/5e9c1273-536d-4280-8fff-9931f46dc968.json b/data/hfopenllm_v2/CausalLM/preview-1-hf/5e9c1273-536d-4280-8fff-9931f46dc968.json
new file mode 100644
index 000000000..571a2c125
--- /dev/null
+++ b/data/hfopenllm_v2/CausalLM/preview-1-hf/5e9c1273-536d-4280-8fff-9931f46dc968.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/CausalLM_preview-1-hf/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "preview-1-hf",
+    "id": "CausalLM/preview-1-hf",
+    "developer": "CausalLM",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "GlmForCausalLM",
+      "params_billions": 9.543
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5559
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3615
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0302
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2617
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3422
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3597
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/CausalLM/preview-1-hf/e9fcf09c-14e2-4226-b1e5-b5752ac1a753.json b/data/hfopenllm_v2/CausalLM/preview-1-hf/e9fcf09c-14e2-4226-b1e5-b5752ac1a753.json
deleted file mode 100644
index 621589078..000000000
--- a/data/hfopenllm_v2/CausalLM/preview-1-hf/e9fcf09c-14e2-4226-b1e5-b5752ac1a753.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/CausalLM_preview-1-hf/1762652579.503128",
-  "retrieved_timestamp": "1762652579.503129",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "CausalLM/preview-1-hf",
-    "developer": "CausalLM",
-    "inference_platform": "unknown",
-    "id": "CausalLM/preview-1-hf",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "GlmForCausalLM",
-      "params_billions": 9.543
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5558928088582737
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3614567463880903
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.030211480362537766
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.26174496644295303
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.34218750000000003
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.35970744680851063
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Changgil/K2S3-14b-v0.2/460ca160-ac34-4091-ba2d-986b53532b55.json b/data/hfopenllm_v2/Changgil/K2S3-14b-v0.2/460ca160-ac34-4091-ba2d-986b53532b55.json
new file mode 100644
index 000000000..c087ab2dc
--- /dev/null
+++ b/data/hfopenllm_v2/Changgil/K2S3-14b-v0.2/460ca160-ac34-4091-ba2d-986b53532b55.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Changgil_K2S3-14b-v0.2/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "K2S3-14b-v0.2",
+    "id": "Changgil/K2S3-14b-v0.2",
+    "developer": "Changgil",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 14.352
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3243
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4613
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0574
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.281
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3923
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2644
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Changgil/K2S3-14b-v0.2/4dfe2d3c-7fc3-4b57-8acd-02b0808ccdb1.json b/data/hfopenllm_v2/Changgil/K2S3-14b-v0.2/4dfe2d3c-7fc3-4b57-8acd-02b0808ccdb1.json
deleted file mode 100644
index 3d9c9169c..000000000
--- a/data/hfopenllm_v2/Changgil/K2S3-14b-v0.2/4dfe2d3c-7fc3-4b57-8acd-02b0808ccdb1.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Changgil_K2S3-14b-v0.2/1762652579.503338",
-  "retrieved_timestamp": "1762652579.503339",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Changgil/K2S3-14b-v0.2",
-    "developer": "Changgil",
-    "inference_platform": "unknown",
-    "id": "Changgil/K2S3-14b-v0.2",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 14.352
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3242840108689389
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4613311786298187
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.05740181268882175
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.28104026845637586
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3922604166666666
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2643783244680851
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Changgil/K2S3-v0.1/225bc36b-4bfb-4818-8601-903e7f9decb3.json b/data/hfopenllm_v2/Changgil/K2S3-v0.1/225bc36b-4bfb-4818-8601-903e7f9decb3.json
deleted file mode 100644
index ce8452ec7..000000000
--- a/data/hfopenllm_v2/Changgil/K2S3-v0.1/225bc36b-4bfb-4818-8601-903e7f9decb3.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Changgil_K2S3-v0.1/1762652579.503593",
-  "retrieved_timestamp": "1762652579.503594",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Changgil/K2S3-v0.1",
-    "developer": "Changgil",
-    "inference_platform": "unknown",
-    "id": "Changgil/K2S3-v0.1",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 14.352
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
-        "score": 0.32765617450586665
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.46554920672286154
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-    {
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-        "score_type": "continuous",
-        "min_score": 0,
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-      "score_details": {
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-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
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-    {
-      "evaluation_name": "MUSR",
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-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-      "score_details": {
-        "score": 0.2562333776595745
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diff --git a/data/hfopenllm_v2/Changgil/K2S3-v0.1/ef9d2fab-07a2-44e2-aae2-ede5a2ff31d9.json b/data/hfopenllm_v2/Changgil/K2S3-v0.1/ef9d2fab-07a2-44e2-aae2-ede5a2ff31d9.json
new file mode 100644
index 000000000..efefe2dc0
--- /dev/null
+++ b/data/hfopenllm_v2/Changgil/K2S3-v0.1/ef9d2fab-07a2-44e2-aae2-ede5a2ff31d9.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Changgil_K2S3-v0.1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "K2S3-v0.1",
+    "id": "Changgil/K2S3-v0.1",
+    "developer": "Changgil",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 14.352
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3277
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4655
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0461
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2643
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4014
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2562
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/ClaudioItaly/Albacus/0be5437b-2489-4107-8c38-d0cd198a2d8c.json b/data/hfopenllm_v2/ClaudioItaly/Albacus/0be5437b-2489-4107-8c38-d0cd198a2d8c.json
deleted file mode 100644
index 5683de60d..000000000
--- a/data/hfopenllm_v2/ClaudioItaly/Albacus/0be5437b-2489-4107-8c38-d0cd198a2d8c.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/ClaudioItaly_Albacus/1762652579.503804",
-  "retrieved_timestamp": "1762652579.503805",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "ClaudioItaly/Albacus",
-    "developer": "ClaudioItaly",
-    "inference_platform": "unknown",
-    "id": "ClaudioItaly/Albacus",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 8.987
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4667415790103592
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5113043406568835
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.07099697885196375
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.27181208053691275
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41353124999999996
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.31648936170212766
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/ClaudioItaly/Albacus/a29a69d3-d64e-4463-aa52-0a9d6d012c98.json b/data/hfopenllm_v2/ClaudioItaly/Albacus/a29a69d3-d64e-4463-aa52-0a9d6d012c98.json
new file mode 100644
index 000000000..8b6f83423
--- /dev/null
+++ b/data/hfopenllm_v2/ClaudioItaly/Albacus/a29a69d3-d64e-4463-aa52-0a9d6d012c98.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/ClaudioItaly_Albacus/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Albacus",
+    "id": "ClaudioItaly/Albacus",
+    "developer": "ClaudioItaly",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 8.987
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4667
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5113
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.071
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2718
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4135
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3165
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/ClaudioItaly/Book-Gut12B/4539c16e-1ac6-47f4-88eb-a09842497330.json b/data/hfopenllm_v2/ClaudioItaly/Book-Gut12B/4539c16e-1ac6-47f4-88eb-a09842497330.json
new file mode 100644
index 000000000..c0c13e7aa
--- /dev/null
+++ b/data/hfopenllm_v2/ClaudioItaly/Book-Gut12B/4539c16e-1ac6-47f4-88eb-a09842497330.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/ClaudioItaly_Book-Gut12B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Book-Gut12B",
+    "id": "ClaudioItaly/Book-Gut12B",
+    "developer": "ClaudioItaly",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 12.248
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3998
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5417
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.102
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.307
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4635
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.367
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/ClaudioItaly/Book-Gut12B/b2bdf337-9065-4a67-aa1a-5ba8751d5438.json b/data/hfopenllm_v2/ClaudioItaly/Book-Gut12B/b2bdf337-9065-4a67-aa1a-5ba8751d5438.json
deleted file mode 100644
index bfb375ac3..000000000
--- a/data/hfopenllm_v2/ClaudioItaly/Book-Gut12B/b2bdf337-9065-4a67-aa1a-5ba8751d5438.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/ClaudioItaly_Book-Gut12B/1762652579.504094",
-  "retrieved_timestamp": "1762652579.504095",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "ClaudioItaly/Book-Gut12B",
-    "developer": "ClaudioItaly",
-    "inference_platform": "unknown",
-    "id": "ClaudioItaly/Book-Gut12B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 12.248
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.39984685080032095
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5417370194443233
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.10196374622356495
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3070469798657718
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4635416666666667
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3670212765957447
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/ClaudioItaly/Evolutionstory-7B-v2.2/2ff33c55-1236-4c57-8809-2d3076e43cc7.json b/data/hfopenllm_v2/ClaudioItaly/Evolutionstory-7B-v2.2/2ff33c55-1236-4c57-8809-2d3076e43cc7.json
new file mode 100644
index 000000000..da6fa6915
--- /dev/null
+++ b/data/hfopenllm_v2/ClaudioItaly/Evolutionstory-7B-v2.2/2ff33c55-1236-4c57-8809-2d3076e43cc7.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/ClaudioItaly_Evolutionstory-7B-v2.2/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Evolutionstory-7B-v2.2",
+    "id": "ClaudioItaly/Evolutionstory-7B-v2.2",
+    "developer": "ClaudioItaly",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4814
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5108
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.071
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2752
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4135
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3159
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/ClaudioItaly/Evolutionstory-7B-v2.2/e06c19ce-9247-473b-b5db-8686fee5e785.json b/data/hfopenllm_v2/ClaudioItaly/Evolutionstory-7B-v2.2/e06c19ce-9247-473b-b5db-8686fee5e785.json
deleted file mode 100644
index 3891f95b9..000000000
--- a/data/hfopenllm_v2/ClaudioItaly/Evolutionstory-7B-v2.2/e06c19ce-9247-473b-b5db-8686fee5e785.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/ClaudioItaly_Evolutionstory-7B-v2.2/1762652579.504309",
-  "retrieved_timestamp": "1762652579.504309",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "ClaudioItaly/Evolutionstory-7B-v2.2",
-    "developer": "ClaudioItaly",
-    "inference_platform": "unknown",
-    "id": "ClaudioItaly/Evolutionstory-7B-v2.2",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4813794066410457
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5108043406568835
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.07099697885196375
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2751677852348993
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41353124999999996
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.31590757978723405
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/ClaudioItaly/intelligence-cod-rag-7b-v3/281ba822-49a2-4746-bc04-8de046439508.json b/data/hfopenllm_v2/ClaudioItaly/intelligence-cod-rag-7b-v3/281ba822-49a2-4746-bc04-8de046439508.json
new file mode 100644
index 000000000..5635777d0
--- /dev/null
+++ b/data/hfopenllm_v2/ClaudioItaly/intelligence-cod-rag-7b-v3/281ba822-49a2-4746-bc04-8de046439508.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/ClaudioItaly_intelligence-cod-rag-7b-v3/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "intelligence-cod-rag-7b-v3",
+    "id": "ClaudioItaly/intelligence-cod-rag-7b-v3",
+    "developer": "ClaudioItaly",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6898
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5366
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3807
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2727
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4153
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4195
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/ClaudioItaly/intelligence-cod-rag-7b-v3/51559a6d-1262-41e2-8092-008dc8f53974.json b/data/hfopenllm_v2/ClaudioItaly/intelligence-cod-rag-7b-v3/51559a6d-1262-41e2-8092-008dc8f53974.json
deleted file mode 100644
index 035e58fa4..000000000
--- a/data/hfopenllm_v2/ClaudioItaly/intelligence-cod-rag-7b-v3/51559a6d-1262-41e2-8092-008dc8f53974.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/ClaudioItaly_intelligence-cod-rag-7b-v3/1762652579.504531",
-  "retrieved_timestamp": "1762652579.504531",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "ClaudioItaly/intelligence-cod-rag-7b-v3",
-    "developer": "ClaudioItaly",
-    "inference_platform": "unknown",
-    "id": "ClaudioItaly/intelligence-cod-rag-7b-v3",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.616
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6897820006471718
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5366339718839108
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3806646525679758
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2726510067114094
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4152708333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4195478723404255
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/CohereForAI/aya-23-35B/0606d916-95ea-4318-af0c-3942329071c6.json b/data/hfopenllm_v2/CohereForAI/aya-23-35B/0606d916-95ea-4318-af0c-3942329071c6.json
new file mode 100644
index 000000000..3eb7bd011
--- /dev/null
+++ b/data/hfopenllm_v2/CohereForAI/aya-23-35B/0606d916-95ea-4318-af0c-3942329071c6.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/CohereForAI_aya-23-35B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "aya-23-35B",
+    "id": "CohereForAI/aya-23-35B",
+    "developer": "CohereForAI",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "CohereForCausalLM",
+      "params_billions": 34.981
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6462
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.54
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0347
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2945
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.431
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3356
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/CohereForAI/aya-23-35B/9c77aa3f-080c-4dd6-8a9d-50d18657de35.json b/data/hfopenllm_v2/CohereForAI/aya-23-35B/9c77aa3f-080c-4dd6-8a9d-50d18657de35.json
deleted file mode 100644
index 0320eee2d..000000000
--- a/data/hfopenllm_v2/CohereForAI/aya-23-35B/9c77aa3f-080c-4dd6-8a9d-50d18657de35.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/CohereForAI_aya-23-35B/1762652579.5047522",
-  "retrieved_timestamp": "1762652579.5047529",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "CohereForAI/aya-23-35B",
-    "developer": "CohereForAI",
-    "inference_platform": "unknown",
-    "id": "CohereForAI/aya-23-35B",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "CohereForCausalLM",
-      "params_billions": 34.981
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6461932117891638
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
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diff --git a/data/hfopenllm_v2/CohereForAI/aya-23-8B/005159f0-da68-480d-972c-c160d145a682.json b/data/hfopenllm_v2/CohereForAI/aya-23-8B/005159f0-da68-480d-972c-c160d145a682.json
new file mode 100644
index 000000000..ff20417ff
--- /dev/null
+++ b/data/hfopenllm_v2/CohereForAI/aya-23-8B/005159f0-da68-480d-972c-c160d145a682.json
@@ -0,0 +1,132 @@
+{
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+  "evaluation_id": "hfopenllm_v2/CohereForAI_aya-23-8B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "aya-23-8B",
+    "id": "CohereForAI/aya-23-8B",
+    "developer": "CohereForAI",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "CohereForCausalLM",
+      "params_billions": 8.028
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+      "score_details": {
+        "score": 0.4699
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+    },
+    {
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+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "max_score": 1.0
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+        "hf_repo": "Idavidrein/gpqa"
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+        "evaluation_description": "Accuracy on GPQA",
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+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2844
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+    },
+    {
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+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "max_score": 1.0
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+    },
+    {
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+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/CohereForAI/aya-23-8B/2ff655cd-9123-4577-832b-3f0b04f7d466.json b/data/hfopenllm_v2/CohereForAI/aya-23-8B/2ff655cd-9123-4577-832b-3f0b04f7d466.json
deleted file mode 100644
index 1dbc154e0..000000000
--- a/data/hfopenllm_v2/CohereForAI/aya-23-8B/2ff655cd-9123-4577-832b-3f0b04f7d466.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/CohereForAI/aya-expanse-32b/2f6abb5d-52b3-44b0-b960-115793485fb1.json b/data/hfopenllm_v2/CohereForAI/aya-expanse-32b/2f6abb5d-52b3-44b0-b960-115793485fb1.json
new file mode 100644
index 000000000..398bb4dca
--- /dev/null
+++ b/data/hfopenllm_v2/CohereForAI/aya-expanse-32b/2f6abb5d-52b3-44b0-b960-115793485fb1.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/CohereForAI_aya-expanse-32b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "aya-expanse-32b",
+    "id": "CohereForAI/aya-expanse-32b",
+    "developer": "CohereForAI",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "CohereForCausalLM",
+      "params_billions": 32.296
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7302
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5649
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3255
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3873
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/CohereForAI/aya-expanse-32b/ebbe9a61-6dff-467a-b77c-7c125a043832.json b/data/hfopenllm_v2/CohereForAI/aya-expanse-32b/ebbe9a61-6dff-467a-b77c-7c125a043832.json
deleted file mode 100644
index be4b6d379..000000000
--- a/data/hfopenllm_v2/CohereForAI/aya-expanse-32b/ebbe9a61-6dff-467a-b77c-7c125a043832.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-    "source_type": "documentation"
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-  "model_info": {
-    "name": "CohereForAI/aya-expanse-32b",
-    "developer": "CohereForAI",
-    "inference_platform": "unknown",
-    "id": "CohereForAI/aya-expanse-32b",
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diff --git a/data/hfopenllm_v2/CohereForAI/aya-expanse-8b/3d54299c-ae39-45f4-b31c-c0667dcbe9f4.json b/data/hfopenllm_v2/CohereForAI/aya-expanse-8b/3d54299c-ae39-45f4-b31c-c0667dcbe9f4.json
deleted file mode 100644
index 08555721e..000000000
--- a/data/hfopenllm_v2/CohereForAI/aya-expanse-8b/3d54299c-ae39-45f4-b31c-c0667dcbe9f4.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "model_info": {
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-    "developer": "CohereForAI",
-    "inference_platform": "unknown",
-    "id": "CohereForAI/aya-expanse-8b",
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diff --git a/data/hfopenllm_v2/CohereForAI/aya-expanse-8b/6ffacad9-1a4d-472e-bbbf-0d64d068dd0d.json b/data/hfopenllm_v2/CohereForAI/aya-expanse-8b/6ffacad9-1a4d-472e-bbbf-0d64d068dd0d.json
new file mode 100644
index 000000000..724fe03bd
--- /dev/null
+++ b/data/hfopenllm_v2/CohereForAI/aya-expanse-8b/6ffacad9-1a4d-472e-bbbf-0d64d068dd0d.json
@@ -0,0 +1,132 @@
+{
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+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "aya-expanse-8b",
+    "id": "CohereForAI/aya-expanse-8b",
+    "developer": "CohereForAI",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "CohereForCausalLM",
+      "params_billions": 8.028
+    }
+  },
+  "evaluation_results": [
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
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+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6359
+      }
+    },
+    {
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+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4977
+      }
+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+        "max_score": 1.0
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+      },
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+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+    },
+    {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
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+        "max_score": 1.0
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+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/CohereForAI/c4ai-command-r-plus-08-2024/26eadaf8-bfb8-4aad-a8a4-90699b6f0fcd.json b/data/hfopenllm_v2/CohereForAI/c4ai-command-r-plus-08-2024/26eadaf8-bfb8-4aad-a8a4-90699b6f0fcd.json
new file mode 100644
index 000000000..294a861d5
--- /dev/null
+++ b/data/hfopenllm_v2/CohereForAI/c4ai-command-r-plus-08-2024/26eadaf8-bfb8-4aad-a8a4-90699b6f0fcd.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/CohereForAI_c4ai-command-r-plus-08-2024/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "c4ai-command-r-plus-08-2024",
+    "id": "CohereForAI/c4ai-command-r-plus-08-2024",
+    "developer": "CohereForAI",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "CohereForCausalLM",
+      "params_billions": 103.811
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
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+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.754
+      }
+    },
+    {
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+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5996
+      }
+    },
+    {
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+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "max_score": 1.0
+      },
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+    },
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4829
+      }
+    },
+    {
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+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4421
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/CohereForAI/c4ai-command-r-plus-08-2024/f1ef3dda-1b62-4ec9-9c88-a8e60b8a8f6d.json b/data/hfopenllm_v2/CohereForAI/c4ai-command-r-plus-08-2024/f1ef3dda-1b62-4ec9-9c88-a8e60b8a8f6d.json
deleted file mode 100644
index f359c2b4b..000000000
--- a/data/hfopenllm_v2/CohereForAI/c4ai-command-r-plus-08-2024/f1ef3dda-1b62-4ec9-9c88-a8e60b8a8f6d.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/CohereForAI_c4ai-command-r-plus-08-2024/1762652579.506166",
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-    "source_name": "HF Open LLM v2",
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-    "name": "CohereForAI/c4ai-command-r-plus-08-2024",
-    "developer": "CohereForAI",
-    "inference_platform": "unknown",
-    "id": "CohereForAI/c4ai-command-r-plus-08-2024",
-    "additional_details": {
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-      "architecture": "CohereForCausalLM",
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-    }
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-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
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-        "score_type": "continuous",
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-        "lower_is_better": false,
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-}
diff --git a/data/hfopenllm_v2/CohereForAI/c4ai-command-r-plus/c5326cd1-8e73-4f84-8efb-49b3be5c50e7.json b/data/hfopenllm_v2/CohereForAI/c4ai-command-r-plus/c5326cd1-8e73-4f84-8efb-49b3be5c50e7.json
deleted file mode 100644
index 2701b0ba7..000000000
--- a/data/hfopenllm_v2/CohereForAI/c4ai-command-r-plus/c5326cd1-8e73-4f84-8efb-49b3be5c50e7.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-    "source_name": "HF Open LLM v2",
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-    "name": "CohereForAI/c4ai-command-r-plus",
-    "developer": "CohereForAI",
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-    "id": "CohereForAI/c4ai-command-r-plus",
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
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-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-}
diff --git a/data/hfopenllm_v2/CohereForAI/c4ai-command-r-plus/d4536913-5708-45e4-a024-45ae37fdae13.json b/data/hfopenllm_v2/CohereForAI/c4ai-command-r-plus/d4536913-5708-45e4-a024-45ae37fdae13.json
new file mode 100644
index 000000000..e568ee283
--- /dev/null
+++ b/data/hfopenllm_v2/CohereForAI/c4ai-command-r-plus/d4536913-5708-45e4-a024-45ae37fdae13.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/CohereForAI_c4ai-command-r-plus/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "c4ai-command-r-plus",
+    "id": "CohereForAI/c4ai-command-r-plus",
+    "developer": "CohereForAI",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "CohereForCausalLM",
+      "params_billions": 103.811
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7664
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5815
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3054
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4807
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3992
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/CohereForAI/c4ai-command-r-v01/848860aa-7de3-4fae-afca-ac11224b96c5.json b/data/hfopenllm_v2/CohereForAI/c4ai-command-r-v01/848860aa-7de3-4fae-afca-ac11224b96c5.json
new file mode 100644
index 000000000..5b2083324
--- /dev/null
+++ b/data/hfopenllm_v2/CohereForAI/c4ai-command-r-v01/848860aa-7de3-4fae-afca-ac11224b96c5.json
@@ -0,0 +1,132 @@
+{
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+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
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+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "c4ai-command-r-v01",
+    "id": "CohereForAI/c4ai-command-r-v01",
+    "developer": "CohereForAI",
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+      "architecture": "CohereForCausalLM",
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+    }
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+      "source_data": {
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+        "source_type": "hf_dataset",
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+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+      }
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+    {
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+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5406
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
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+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+    },
+    {
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+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3369
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/CohereForAI/c4ai-command-r-v01/cd24b18c-faff-44e1-87d6-735bcb9ab465.json b/data/hfopenllm_v2/CohereForAI/c4ai-command-r-v01/cd24b18c-faff-44e1-87d6-735bcb9ab465.json
deleted file mode 100644
index 6fac83b95..000000000
--- a/data/hfopenllm_v2/CohereForAI/c4ai-command-r-v01/cd24b18c-faff-44e1-87d6-735bcb9ab465.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/CohereForAI_c4ai-command-r-v01/1762652579.506387",
-  "retrieved_timestamp": "1762652579.506388",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
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-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "CohereForAI/c4ai-command-r-v01",
-    "developer": "CohereForAI",
-    "inference_platform": "unknown",
-    "id": "CohereForAI/c4ai-command-r-v01",
-    "additional_details": {
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-      "architecture": "CohereForCausalLM",
-      "params_billions": 34.981
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
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-        "lower_is_better": false,
-        "score_type": "continuous",
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-        "max_score": 1
-      },
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-        "min_score": 0,
-        "max_score": 1
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-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
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-        "lower_is_better": false,
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-        "score": 0.3070469798657718
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-    },
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-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3369348404255319
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/CohereForAI/c4ai-command-r7b-12-2024/0241a8e3-d6e5-4ba5-afb9-862bde2ba851.json b/data/hfopenllm_v2/CohereForAI/c4ai-command-r7b-12-2024/0241a8e3-d6e5-4ba5-afb9-862bde2ba851.json
new file mode 100644
index 000000000..0cc392d32
--- /dev/null
+++ b/data/hfopenllm_v2/CohereForAI/c4ai-command-r7b-12-2024/0241a8e3-d6e5-4ba5-afb9-862bde2ba851.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/CohereForAI_c4ai-command-r7b-12-2024/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "c4ai-command-r7b-12-2024",
+    "id": "CohereForAI/c4ai-command-r7b-12-2024",
+    "developer": "CohereForAI",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Cohere2ForCausalLM",
+      "params_billions": 8.028
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7713
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5503
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2991
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3087
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4125
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3572
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/CohereForAI/c4ai-command-r7b-12-2024/85fa7edb-df5c-4baa-a0f1-c520db55c08c.json b/data/hfopenllm_v2/CohereForAI/c4ai-command-r7b-12-2024/85fa7edb-df5c-4baa-a0f1-c520db55c08c.json
deleted file mode 100644
index d9188d83d..000000000
--- a/data/hfopenllm_v2/CohereForAI/c4ai-command-r7b-12-2024/85fa7edb-df5c-4baa-a0f1-c520db55c08c.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/CohereForAI_c4ai-command-r7b-12-2024/1762652579.5066051",
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-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
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-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "CohereForAI/c4ai-command-r7b-12-2024",
-    "developer": "CohereForAI",
-    "inference_platform": "unknown",
-    "id": "CohereForAI/c4ai-command-r7b-12-2024",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Cohere2ForCausalLM",
-      "params_billions": 8.028
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-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-      },
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2990936555891239
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-    },
-    {
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41251041666666666
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3572140957446808
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Columbia-NLP/LION-Gemma-2b-dpo-v1.0/20b69120-d476-4e34-b3c6-8cef11d6ee78.json b/data/hfopenllm_v2/Columbia-NLP/LION-Gemma-2b-dpo-v1.0/20b69120-d476-4e34-b3c6-8cef11d6ee78.json
new file mode 100644
index 000000000..047b3a3d1
--- /dev/null
+++ b/data/hfopenllm_v2/Columbia-NLP/LION-Gemma-2b-dpo-v1.0/20b69120-d476-4e34-b3c6-8cef11d6ee78.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Columbia-NLP_LION-Gemma-2b-dpo-v1.0/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "LION-Gemma-2b-dpo-v1.0",
+    "id": "Columbia-NLP/LION-Gemma-2b-dpo-v1.0",
+    "developer": "Columbia-NLP",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "GemmaForCausalLM",
+      "params_billions": 2.506
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3102
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3881
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0536
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2534
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4081
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1665
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Columbia-NLP/LION-Gemma-2b-dpo-v1.0/696bbbfc-49dd-444e-a90b-76821845a726.json b/data/hfopenllm_v2/Columbia-NLP/LION-Gemma-2b-dpo-v1.0/696bbbfc-49dd-444e-a90b-76821845a726.json
new file mode 100644
index 000000000..9deccf82b
--- /dev/null
+++ b/data/hfopenllm_v2/Columbia-NLP/LION-Gemma-2b-dpo-v1.0/696bbbfc-49dd-444e-a90b-76821845a726.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
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+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "LION-Gemma-2b-dpo-v1.0",
+    "id": "Columbia-NLP/LION-Gemma-2b-dpo-v1.0",
+    "developer": "Columbia-NLP",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "GemmaForCausalLM",
+      "params_billions": 2.506
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3278
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.392
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0431
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2492
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1666
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Columbia-NLP/LION-Gemma-2b-dpo-v1.0/76f198aa-0aa5-4c98-8d86-20410582d3a5.json b/data/hfopenllm_v2/Columbia-NLP/LION-Gemma-2b-dpo-v1.0/76f198aa-0aa5-4c98-8d86-20410582d3a5.json
deleted file mode 100644
index 2451e9bd5..000000000
--- a/data/hfopenllm_v2/Columbia-NLP/LION-Gemma-2b-dpo-v1.0/76f198aa-0aa5-4c98-8d86-20410582d3a5.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/Columbia-NLP_LION-Gemma-2b-dpo-v1.0/1762652579.506829",
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
-    "name": "Columbia-NLP/LION-Gemma-2b-dpo-v1.0",
-    "developer": "Columbia-NLP",
-    "inference_platform": "unknown",
-    "id": "Columbia-NLP/LION-Gemma-2b-dpo-v1.0",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "GemmaForCausalLM",
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-        "lower_is_better": false,
-        "score_type": "continuous",
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-        "lower_is_better": false,
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-    {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-    }
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diff --git a/data/hfopenllm_v2/Columbia-NLP/LION-Gemma-2b-dpo-v1.0/f39ad9a4-b02a-415e-b83a-53d705b6bea2.json b/data/hfopenllm_v2/Columbia-NLP/LION-Gemma-2b-dpo-v1.0/f39ad9a4-b02a-415e-b83a-53d705b6bea2.json
deleted file mode 100644
index 1747da663..000000000
--- a/data/hfopenllm_v2/Columbia-NLP/LION-Gemma-2b-dpo-v1.0/f39ad9a4-b02a-415e-b83a-53d705b6bea2.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "source_data": [
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-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Columbia-NLP/LION-Gemma-2b-dpo-v1.0",
-    "developer": "Columbia-NLP",
-    "inference_platform": "unknown",
-    "id": "Columbia-NLP/LION-Gemma-2b-dpo-v1.0",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "GemmaForCausalLM",
-      "params_billions": 2.506
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
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-        "max_score": 1
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-    {
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-        "score_type": "continuous",
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-        "max_score": 1
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-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4080729166666666
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.16647273936170212
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Columbia-NLP/LION-Gemma-2b-odpo-v1.0/e6d974d3-467e-4fe7-bd84-79fc7c72cde2.json b/data/hfopenllm_v2/Columbia-NLP/LION-Gemma-2b-odpo-v1.0/e6d974d3-467e-4fe7-bd84-79fc7c72cde2.json
new file mode 100644
index 000000000..7b19f887e
--- /dev/null
+++ b/data/hfopenllm_v2/Columbia-NLP/LION-Gemma-2b-odpo-v1.0/e6d974d3-467e-4fe7-bd84-79fc7c72cde2.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Columbia-NLP_LION-Gemma-2b-odpo-v1.0/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "LION-Gemma-2b-odpo-v1.0",
+    "id": "Columbia-NLP/LION-Gemma-2b-odpo-v1.0",
+    "developer": "Columbia-NLP",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "GemmaForCausalLM",
+      "params_billions": 2.506
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3066
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3896
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0695
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2424
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4279
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1692
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Columbia-NLP/LION-Gemma-2b-sft-v1.0/0cb84d3d-4f5d-4afc-9c49-de567f2ffbcb.json b/data/hfopenllm_v2/Columbia-NLP/LION-Gemma-2b-sft-v1.0/0cb84d3d-4f5d-4afc-9c49-de567f2ffbcb.json
deleted file mode 100644
index d874b8ff0..000000000
--- a/data/hfopenllm_v2/Columbia-NLP/LION-Gemma-2b-sft-v1.0/0cb84d3d-4f5d-4afc-9c49-de567f2ffbcb.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-    "source_name": "HF Open LLM v2",
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-    "name": "Columbia-NLP/LION-Gemma-2b-sft-v1.0",
-    "developer": "Columbia-NLP",
-    "inference_platform": "unknown",
-    "id": "Columbia-NLP/LION-Gemma-2b-sft-v1.0",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "GemmaForCausalLM",
-      "params_billions": 2.506
-    }
-  },
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-        "score_type": "continuous",
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-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
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-        "score_type": "continuous",
-        "min_score": 0,
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-        "score_type": "continuous",
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-    {
-      "evaluation_name": "MUSR",
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-        "score_type": "continuous",
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-        "max_score": 1
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-      "score_details": {
-        "score": 0.4027395833333333
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-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-}
diff --git a/data/hfopenllm_v2/Columbia-NLP/LION-Gemma-2b-sft-v1.0/b26ba2b7-1365-4b1c-a1be-35d588e02d36.json b/data/hfopenllm_v2/Columbia-NLP/LION-Gemma-2b-sft-v1.0/b26ba2b7-1365-4b1c-a1be-35d588e02d36.json
new file mode 100644
index 000000000..2d900597c
--- /dev/null
+++ b/data/hfopenllm_v2/Columbia-NLP/LION-Gemma-2b-sft-v1.0/b26ba2b7-1365-4b1c-a1be-35d588e02d36.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Columbia-NLP_LION-Gemma-2b-sft-v1.0/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "LION-Gemma-2b-sft-v1.0",
+    "id": "Columbia-NLP/LION-Gemma-2b-sft-v1.0",
+    "developer": "Columbia-NLP",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "GemmaForCausalLM",
+      "params_billions": 2.506
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3692
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3879
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.068
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2559
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4027
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1782
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Columbia-NLP/LION-LLaMA-3-8b-dpo-v1.0/64bd755d-ba4b-4559-ad8e-f56c697b1ae6.json b/data/hfopenllm_v2/Columbia-NLP/LION-LLaMA-3-8b-dpo-v1.0/64bd755d-ba4b-4559-ad8e-f56c697b1ae6.json
new file mode 100644
index 000000000..f22d9e63b
--- /dev/null
+++ b/data/hfopenllm_v2/Columbia-NLP/LION-LLaMA-3-8b-dpo-v1.0/64bd755d-ba4b-4559-ad8e-f56c697b1ae6.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Columbia-NLP_LION-LLaMA-3-8b-dpo-v1.0/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "LION-LLaMA-3-8b-dpo-v1.0",
+    "id": "Columbia-NLP/LION-LLaMA-3-8b-dpo-v1.0",
+    "developer": "Columbia-NLP",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4957
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5028
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1171
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.281
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4097
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3219
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Columbia-NLP/LION-LLaMA-3-8b-dpo-v1.0/bf83f2be-f684-4ba7-b244-c5cb10f8f0b1.json b/data/hfopenllm_v2/Columbia-NLP/LION-LLaMA-3-8b-dpo-v1.0/bf83f2be-f684-4ba7-b244-c5cb10f8f0b1.json
deleted file mode 100644
index 73a9575d0..000000000
--- a/data/hfopenllm_v2/Columbia-NLP/LION-LLaMA-3-8b-dpo-v1.0/bf83f2be-f684-4ba7-b244-c5cb10f8f0b1.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Columbia-NLP_LION-LLaMA-3-8b-dpo-v1.0/1762652579.5077918",
-  "retrieved_timestamp": "1762652579.507793",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Columbia-NLP/LION-LLaMA-3-8b-dpo-v1.0",
-    "developer": "Columbia-NLP",
-    "inference_platform": "unknown",
-    "id": "Columbia-NLP/LION-LLaMA-3-8b-dpo-v1.0",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4957424079220912
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5028481044452986
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11706948640483383
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.28104026845637586
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.40971874999999996
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3218916223404255
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Columbia-NLP/LION-LLaMA-3-8b-odpo-v1.0/c4e572cb-1d12-4baf-a4d8-a55422692207.json b/data/hfopenllm_v2/Columbia-NLP/LION-LLaMA-3-8b-odpo-v1.0/c4e572cb-1d12-4baf-a4d8-a55422692207.json
new file mode 100644
index 000000000..6e2795510
--- /dev/null
+++ b/data/hfopenllm_v2/Columbia-NLP/LION-LLaMA-3-8b-odpo-v1.0/c4e572cb-1d12-4baf-a4d8-a55422692207.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Columbia-NLP_LION-LLaMA-3-8b-odpo-v1.0/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "LION-LLaMA-3-8b-odpo-v1.0",
+    "id": "Columbia-NLP/LION-LLaMA-3-8b-odpo-v1.0",
+    "developer": "Columbia-NLP",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3968
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5024
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1065
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2852
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4057
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3152
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Columbia-NLP/LION-LLaMA-3-8b-sft-v1.0/23c9a71d-3504-497d-a0e2-6a5e299346e5.json b/data/hfopenllm_v2/Columbia-NLP/LION-LLaMA-3-8b-sft-v1.0/23c9a71d-3504-497d-a0e2-6a5e299346e5.json
deleted file mode 100644
index 8dc809929..000000000
--- a/data/hfopenllm_v2/Columbia-NLP/LION-LLaMA-3-8b-sft-v1.0/23c9a71d-3504-497d-a0e2-6a5e299346e5.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Columbia-NLP_LION-LLaMA-3-8b-sft-v1.0/1762652579.5082712",
-  "retrieved_timestamp": "1762652579.5082722",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Columbia-NLP/LION-LLaMA-3-8b-sft-v1.0",
-    "developer": "Columbia-NLP",
-    "inference_platform": "unknown",
-    "id": "Columbia-NLP/LION-LLaMA-3-8b-sft-v1.0",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.38171163623629745
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5087766443418147
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11404833836858005
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.27768456375838924
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.45027083333333334
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.32372007978723405
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Columbia-NLP/LION-LLaMA-3-8b-sft-v1.0/c6123e10-b1f9-49dc-888b-083881e6ef09.json b/data/hfopenllm_v2/Columbia-NLP/LION-LLaMA-3-8b-sft-v1.0/c6123e10-b1f9-49dc-888b-083881e6ef09.json
new file mode 100644
index 000000000..1377d56ef
--- /dev/null
+++ b/data/hfopenllm_v2/Columbia-NLP/LION-LLaMA-3-8b-sft-v1.0/c6123e10-b1f9-49dc-888b-083881e6ef09.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Columbia-NLP_LION-LLaMA-3-8b-sft-v1.0/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "LION-LLaMA-3-8b-sft-v1.0",
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/CombinHorizon/Josiefied-abliteratedV4-Qwen2.5-14B-Inst-BaseMerge-TIES/e1647f10-fec5-463d-b8e5-6b2b880bd687.json b/data/hfopenllm_v2/CombinHorizon/Josiefied-abliteratedV4-Qwen2.5-14B-Inst-BaseMerge-TIES/e1647f10-fec5-463d-b8e5-6b2b880bd687.json
new file mode 100644
index 000000000..739ac6a43
--- /dev/null
+++ b/data/hfopenllm_v2/CombinHorizon/Josiefied-abliteratedV4-Qwen2.5-14B-Inst-BaseMerge-TIES/e1647f10-fec5-463d-b8e5-6b2b880bd687.json
@@ -0,0 +1,132 @@
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+    "id": "CombinHorizon/Josiefied-abliteratedV4-Qwen2.5-14B-Inst-BaseMerge-TIES",
+    "developer": "CombinHorizon",
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/CombinHorizon/Rombos-Qwen2.5-7B-Inst-BaseMerge-TIES/6d5fa235-8d69-456e-9f23-0f702760baf4.json b/data/hfopenllm_v2/CombinHorizon/Rombos-Qwen2.5-7B-Inst-BaseMerge-TIES/6d5fa235-8d69-456e-9f23-0f702760baf4.json
new file mode 100644
index 000000000..e1668a135
--- /dev/null
+++ b/data/hfopenllm_v2/CombinHorizon/Rombos-Qwen2.5-7B-Inst-BaseMerge-TIES/6d5fa235-8d69-456e-9f23-0f702760baf4.json
@@ -0,0 +1,132 @@
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+    "developer": "CombinHorizon",
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/CombinHorizon/YiSM-blossom5.1-34B-SLERP/91ec4ba1-6948-48e8-8db0-a335b982c560.json b/data/hfopenllm_v2/CombinHorizon/YiSM-blossom5.1-34B-SLERP/91ec4ba1-6948-48e8-8db0-a335b982c560.json
deleted file mode 100644
index e80a271dd..000000000
--- a/data/hfopenllm_v2/CombinHorizon/YiSM-blossom5.1-34B-SLERP/91ec4ba1-6948-48e8-8db0-a335b982c560.json
+++ /dev/null
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diff --git a/data/hfopenllm_v2/CombinHorizon/YiSM-blossom5.1-34B-SLERP/e8709a6a-a2b8-4b09-9342-d1aeae89de1f.json b/data/hfopenllm_v2/CombinHorizon/YiSM-blossom5.1-34B-SLERP/e8709a6a-a2b8-4b09-9342-d1aeae89de1f.json
new file mode 100644
index 000000000..0da86caa5
--- /dev/null
+++ b/data/hfopenllm_v2/CombinHorizon/YiSM-blossom5.1-34B-SLERP/e8709a6a-a2b8-4b09-9342-d1aeae89de1f.json
@@ -0,0 +1,132 @@
+{
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+    "id": "CombinHorizon/YiSM-blossom5.1-34B-SLERP",
+    "developer": "CombinHorizon",
+    "inference_platform": "unknown",
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/CombinHorizon/huihui-ai-abliterated-Qwen2.5-32B-Inst-BaseMerge-TIES/603e95c9-7e7f-4892-93f7-92f92b256865.json b/data/hfopenllm_v2/CombinHorizon/huihui-ai-abliterated-Qwen2.5-32B-Inst-BaseMerge-TIES/603e95c9-7e7f-4892-93f7-92f92b256865.json
new file mode 100644
index 000000000..f4ca1a794
--- /dev/null
+++ b/data/hfopenllm_v2/CombinHorizon/huihui-ai-abliterated-Qwen2.5-32B-Inst-BaseMerge-TIES/603e95c9-7e7f-4892-93f7-92f92b256865.json
@@ -0,0 +1,132 @@
+{
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/CombinHorizon/huihui-ai-abliteratedV2-Qwen2.5-14B-Inst-BaseMerge-TIES/3e2fd38a-186e-49aa-915c-7eb3cde50562.json b/data/hfopenllm_v2/CombinHorizon/huihui-ai-abliteratedV2-Qwen2.5-14B-Inst-BaseMerge-TIES/3e2fd38a-186e-49aa-915c-7eb3cde50562.json
new file mode 100644
index 000000000..859925816
--- /dev/null
+++ b/data/hfopenllm_v2/CombinHorizon/huihui-ai-abliteratedV2-Qwen2.5-14B-Inst-BaseMerge-TIES/3e2fd38a-186e-49aa-915c-7eb3cde50562.json
@@ -0,0 +1,132 @@
+{
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+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
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+    "name": "huihui-ai-abliteratedV2-Qwen2.5-14B-Inst-BaseMerge-TIES",
+    "id": "CombinHorizon/huihui-ai-abliteratedV2-Qwen2.5-14B-Inst-BaseMerge-TIES",
+    "developer": "CombinHorizon",
+    "inference_platform": "unknown",
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+    }
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+      "source_data": {
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+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+    {
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+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
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+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/CombinHorizon/zetasepic-abliteratedV2-Qwen2.5-32B-Inst-BaseMerge-TIES/16d55e66-9015-4d72-81e4-3f14c42b0368.json b/data/hfopenllm_v2/CombinHorizon/zetasepic-abliteratedV2-Qwen2.5-32B-Inst-BaseMerge-TIES/16d55e66-9015-4d72-81e4-3f14c42b0368.json
new file mode 100644
index 000000000..f7f8dee1c
--- /dev/null
+++ b/data/hfopenllm_v2/CombinHorizon/zetasepic-abliteratedV2-Qwen2.5-32B-Inst-BaseMerge-TIES/16d55e66-9015-4d72-81e4-3f14c42b0368.json
@@ -0,0 +1,132 @@
+{
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+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
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+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
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+    "id": "CombinHorizon/zetasepic-abliteratedV2-Qwen2.5-32B-Inst-BaseMerge-TIES",
+    "developer": "CombinHorizon",
+    "inference_platform": "unknown",
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+      "architecture": "Qwen2ForCausalLM",
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+    }
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+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+    },
+    {
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+      },
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/ContactDoctor/Bio-Medical-3B-CoT-012025/4ad50c15-9b6d-40c8-b8ce-74253ecfe258.json b/data/hfopenllm_v2/ContactDoctor/Bio-Medical-3B-CoT-012025/4ad50c15-9b6d-40c8-b8ce-74253ecfe258.json
deleted file mode 100644
index caad52e43..000000000
--- a/data/hfopenllm_v2/ContactDoctor/Bio-Medical-3B-CoT-012025/4ad50c15-9b6d-40c8-b8ce-74253ecfe258.json
+++ /dev/null
@@ -1,105 +0,0 @@
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-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
-    "name": "ContactDoctor/Bio-Medical-3B-CoT-012025",
-    "developer": "ContactDoctor",
-    "inference_platform": "unknown",
-    "id": "ContactDoctor/Bio-Medical-3B-CoT-012025",
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-}
diff --git a/data/hfopenllm_v2/ContactDoctor/Bio-Medical-3B-CoT-012025/696644b9-bd40-4047-bb85-0cb19510a96c.json b/data/hfopenllm_v2/ContactDoctor/Bio-Medical-3B-CoT-012025/696644b9-bd40-4047-bb85-0cb19510a96c.json
new file mode 100644
index 000000000..ea7e83334
--- /dev/null
+++ b/data/hfopenllm_v2/ContactDoctor/Bio-Medical-3B-CoT-012025/696644b9-bd40-4047-bb85-0cb19510a96c.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/ContactDoctor_Bio-Medical-3B-CoT-012025/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Bio-Medical-3B-CoT-012025",
+    "id": "ContactDoctor/Bio-Medical-3B-CoT-012025",
+    "developer": "ContactDoctor",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 3.085
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+  },
+  "evaluation_results": [
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+        "hf_repo": "google/IFEval"
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+        "min_score": 0.0,
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+        "hf_repo": "SaylorTwift/bbh"
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+        "score_type": "continuous",
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+        "max_score": 1.0
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+      "score_details": {
+        "score": 0.4383
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+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
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+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
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+      "metric_config": {
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+        "hf_repo": "Idavidrein/gpqa"
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+      "metric_config": {
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+        "score": 0.3045
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+    {
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diff --git a/data/hfopenllm_v2/ContactDoctor/Bio-Medical-Llama-3-8B/cbae8c39-0aec-4859-98bc-3b2d065833ad.json b/data/hfopenllm_v2/ContactDoctor/Bio-Medical-Llama-3-8B/cbae8c39-0aec-4859-98bc-3b2d065833ad.json
new file mode 100644
index 000000000..0ff3b9020
--- /dev/null
+++ b/data/hfopenllm_v2/ContactDoctor/Bio-Medical-Llama-3-8B/cbae8c39-0aec-4859-98bc-3b2d065833ad.json
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/CoolSpring/Qwen2-0.5B-Abyme-merge2/15fb3cc7-1ba5-4ba5-ba02-8e8a9d2029d0.json b/data/hfopenllm_v2/CoolSpring/Qwen2-0.5B-Abyme-merge2/15fb3cc7-1ba5-4ba5-ba02-8e8a9d2029d0.json
new file mode 100644
index 000000000..23736286b
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+++ b/data/hfopenllm_v2/CoolSpring/Qwen2-0.5B-Abyme-merge2/15fb3cc7-1ba5-4ba5-ba02-8e8a9d2029d0.json
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/CoolSpring/Qwen2-0.5B-Abyme-merge3/357f6051-b880-48bb-8e68-e4b0a7a0cbcc.json b/data/hfopenllm_v2/CoolSpring/Qwen2-0.5B-Abyme-merge3/357f6051-b880-48bb-8e68-e4b0a7a0cbcc.json
new file mode 100644
index 000000000..a155e6c18
--- /dev/null
+++ b/data/hfopenllm_v2/CoolSpring/Qwen2-0.5B-Abyme-merge3/357f6051-b880-48bb-8e68-e4b0a7a0cbcc.json
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/CoolSpring/Qwen2-0.5B-Abyme/a50a542b-668e-47b1-a37e-805a58eea3d1.json b/data/hfopenllm_v2/CoolSpring/Qwen2-0.5B-Abyme/a50a542b-668e-47b1-a37e-805a58eea3d1.json
new file mode 100644
index 000000000..43ce6bc2b
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+++ b/data/hfopenllm_v2/CoolSpring/Qwen2-0.5B-Abyme/a50a542b-668e-47b1-a37e-805a58eea3d1.json
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/Corianas/Neural-Mistral-7B/00f7bd51-0b31-446d-be8c-1e0dc0d82e54.json b/data/hfopenllm_v2/Corianas/Neural-Mistral-7B/00f7bd51-0b31-446d-be8c-1e0dc0d82e54.json
new file mode 100644
index 000000000..002cf8d4c
--- /dev/null
+++ b/data/hfopenllm_v2/Corianas/Neural-Mistral-7B/00f7bd51-0b31-446d-be8c-1e0dc0d82e54.json
@@ -0,0 +1,132 @@
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+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0189
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2836
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3873
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2738
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Corianas/Quokka_2.7b/26782941-b918-44c5-a7f6-5f770e47c3d6.json b/data/hfopenllm_v2/Corianas/Quokka_2.7b/26782941-b918-44c5-a7f6-5f770e47c3d6.json
new file mode 100644
index 000000000..04534ef20
--- /dev/null
+++ b/data/hfopenllm_v2/Corianas/Quokka_2.7b/26782941-b918-44c5-a7f6-5f770e47c3d6.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Corianas_Quokka_2.7b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Quokka_2.7b",
+    "id": "Corianas/Quokka_2.7b",
+    "developer": "Corianas",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "GPT2LMHeadModel",
+      "params_billions": 2.786
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1749
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3055
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0083
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2559
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3908
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1145
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Corianas/Quokka_2.7b/54015982-408c-469b-86da-6642f5708180.json b/data/hfopenllm_v2/Corianas/Quokka_2.7b/54015982-408c-469b-86da-6642f5708180.json
deleted file mode 100644
index dd979ef03..000000000
--- a/data/hfopenllm_v2/Corianas/Quokka_2.7b/54015982-408c-469b-86da-6642f5708180.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Corianas_Quokka_2.7b/1762652579.5120142",
-  "retrieved_timestamp": "1762652579.512015",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Corianas/Quokka_2.7b",
-    "developer": "Corianas",
-    "inference_platform": "unknown",
-    "id": "Corianas/Quokka_2.7b",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "GPT2LMHeadModel",
-      "params_billions": 2.786
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.17490702447284318
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3055474937424842
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.008308157099697885
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2558724832214765
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3908333333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11452792553191489
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Corianas/llama-3-reactor/5547ddaf-8fbb-4259-8b88-e946fc3d2404.json b/data/hfopenllm_v2/Corianas/llama-3-reactor/5547ddaf-8fbb-4259-8b88-e946fc3d2404.json
new file mode 100644
index 000000000..0f76b0c3e
--- /dev/null
+++ b/data/hfopenllm_v2/Corianas/llama-3-reactor/5547ddaf-8fbb-4259-8b88-e946fc3d2404.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Corianas_llama-3-reactor/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "llama-3-reactor",
+    "id": "Corianas/llama-3-reactor",
+    "developer": "Corianas",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": -1.0
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.23
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4457
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0468
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2978
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3977
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2801
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/CortexLM/btlm-7b-base-v0.2/aded7428-1283-4ed8-b068-cc1a5ea92dca.json b/data/hfopenllm_v2/CortexLM/btlm-7b-base-v0.2/aded7428-1283-4ed8-b068-cc1a5ea92dca.json
deleted file mode 100644
index a0a6c1184..000000000
--- a/data/hfopenllm_v2/CortexLM/btlm-7b-base-v0.2/aded7428-1283-4ed8-b068-cc1a5ea92dca.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/CortexLM_btlm-7b-base-v0.2/1762652579.512528",
-  "retrieved_timestamp": "1762652579.512528",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "CortexLM/btlm-7b-base-v0.2",
-    "developer": "CortexLM",
-    "inference_platform": "unknown",
-    "id": "CortexLM/btlm-7b-base-v0.2",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 6.885
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.14832865685270635
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4006411985841813
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.015105740181268883
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2533557046979866
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.38460416666666664
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2349567819148936
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/CortexLM/btlm-7b-base-v0.2/bee5ea59-b97a-4783-b763-b6bd432d4558.json b/data/hfopenllm_v2/CortexLM/btlm-7b-base-v0.2/bee5ea59-b97a-4783-b763-b6bd432d4558.json
new file mode 100644
index 000000000..9f5b604cb
--- /dev/null
+++ b/data/hfopenllm_v2/CortexLM/btlm-7b-base-v0.2/bee5ea59-b97a-4783-b763-b6bd432d4558.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/CortexLM_btlm-7b-base-v0.2/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "btlm-7b-base-v0.2",
+    "id": "CortexLM/btlm-7b-base-v0.2",
+    "developer": "CortexLM",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 6.885
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1483
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4006
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0151
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
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+        "evaluation_description": "Accuracy on MUSR",
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+        "hf_repo": "TIGER-Lab/MMLU-Pro"
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Cran-May/SCE-2-24B/8150333f-8e79-4230-af8b-7ddb1d5eeb21.json b/data/hfopenllm_v2/Cran-May/SCE-2-24B/8150333f-8e79-4230-af8b-7ddb1d5eeb21.json
new file mode 100644
index 000000000..d8282b048
--- /dev/null
+++ b/data/hfopenllm_v2/Cran-May/SCE-2-24B/8150333f-8e79-4230-af8b-7ddb1d5eeb21.json
@@ -0,0 +1,132 @@
+{
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+  "source_metadata": {
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+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "SCE-2-24B",
+    "id": "Cran-May/SCE-2-24B",
+    "developer": "Cran-May",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
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+    }
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+        "source_type": "hf_dataset",
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+      }
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
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+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "max_score": 1.0
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+    {
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+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "max_score": 1.0
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+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+    },
+    {
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+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
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+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Cran-May/SCE-2-24B/f4ff02eb-7763-41bc-8a86-adbb051603af.json b/data/hfopenllm_v2/Cran-May/SCE-2-24B/f4ff02eb-7763-41bc-8a86-adbb051603af.json
deleted file mode 100644
index b8fe727a1..000000000
--- a/data/hfopenllm_v2/Cran-May/SCE-2-24B/f4ff02eb-7763-41bc-8a86-adbb051603af.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-    "source_name": "HF Open LLM v2",
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-    "developer": "Cran-May",
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-    "id": "Cran-May/SCE-2-24B",
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diff --git a/data/hfopenllm_v2/Cran-May/SCE-3-24B/2d7b9092-a9ad-4f47-b186-db1e1ce7cd6c.json b/data/hfopenllm_v2/Cran-May/SCE-3-24B/2d7b9092-a9ad-4f47-b186-db1e1ce7cd6c.json
deleted file mode 100644
index a952b16ec..000000000
--- a/data/hfopenllm_v2/Cran-May/SCE-3-24B/2d7b9092-a9ad-4f47-b186-db1e1ce7cd6c.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/Cran-May/SCE-3-24B/be8510a9-ecd4-4ac7-9930-3200cacb7b50.json b/data/hfopenllm_v2/Cran-May/SCE-3-24B/be8510a9-ecd4-4ac7-9930-3200cacb7b50.json
new file mode 100644
index 000000000..17424927b
--- /dev/null
+++ b/data/hfopenllm_v2/Cran-May/SCE-3-24B/be8510a9-ecd4-4ac7-9930-3200cacb7b50.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Cran-May_SCE-3-24B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "SCE-3-24B",
+    "id": "Cran-May/SCE-3-24B",
+    "developer": "Cran-May",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 23.572
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
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+        "score_type": "continuous",
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+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5973
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+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
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+        "min_score": 0.0,
+        "max_score": 1.0
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+    },
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+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
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+      },
+      "score_details": {
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+    },
+    {
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+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4435
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+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
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+        "score_type": "continuous",
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+        "max_score": 1.0
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+      "score_details": {
+        "score": 0.4647
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+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Cran-May/T.E-8.1/887e4574-f876-4e75-afb8-e543bcb30020.json b/data/hfopenllm_v2/Cran-May/T.E-8.1/887e4574-f876-4e75-afb8-e543bcb30020.json
new file mode 100644
index 000000000..18db9bb98
--- /dev/null
+++ b/data/hfopenllm_v2/Cran-May/T.E-8.1/887e4574-f876-4e75-afb8-e543bcb30020.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Cran-May_T.E-8.1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
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+    "source_organization_name": "Hugging Face",
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+  "model_info": {
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+    "id": "Cran-May/T.E-8.1",
+    "developer": "Cran-May",
+    "inference_platform": "unknown",
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+      "architecture": "Qwen2ForCausalLM",
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+  "evaluation_results": [
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+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
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+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5582
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+    },
+    {
+      "evaluation_name": "MATH Level 5",
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
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+        "score_type": "continuous",
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+        "hf_repo": "Idavidrein/gpqa"
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+        "hf_repo": "TAUR-Lab/MuSR"
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+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
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+        "max_score": 1.0
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+    {
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+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "max_score": 1.0
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+    }
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Cran-May/T.E-8.1/9c9e0887-5561-4789-9521-a3a78e7cfd99.json b/data/hfopenllm_v2/Cran-May/T.E-8.1/9c9e0887-5561-4789-9521-a3a78e7cfd99.json
deleted file mode 100644
index 87a5016d1..000000000
--- a/data/hfopenllm_v2/Cran-May/T.E-8.1/9c9e0887-5561-4789-9521-a3a78e7cfd99.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Cran-May_T.E-8.1/1762652579.513231",
-  "retrieved_timestamp": "1762652579.513231",
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
-    "name": "Cran-May/T.E-8.1",
-    "developer": "Cran-May",
-    "inference_platform": "unknown",
-    "id": "Cran-May/T.E-8.1",
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-        "score_type": "continuous",
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
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-        "score": 0.4432347074468085
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Cran-May/merge_model_20250308_2/c457473c-6c40-4930-94b8-993d3b1e8937.json b/data/hfopenllm_v2/Cran-May/merge_model_20250308_2/c457473c-6c40-4930-94b8-993d3b1e8937.json
deleted file mode 100644
index ef62911f4..000000000
--- a/data/hfopenllm_v2/Cran-May/merge_model_20250308_2/c457473c-6c40-4930-94b8-993d3b1e8937.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/Cran-May_merge_model_20250308_2/1762652579.51357",
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-  "source_data": [
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
-    "name": "Cran-May/merge_model_20250308_2",
-    "developer": "Cran-May",
-    "inference_platform": "unknown",
-    "id": "Cran-May/merge_model_20250308_2",
-    "additional_details": {
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-      "evaluation_name": "IFEval",
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-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
-        "score": 0.5419714095744681
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-    }
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-}
diff --git a/data/hfopenllm_v2/Cran-May/merge_model_20250308_2/fd21d8bd-28cf-4b91-8075-c38a61f5f32a.json b/data/hfopenllm_v2/Cran-May/merge_model_20250308_2/fd21d8bd-28cf-4b91-8075-c38a61f5f32a.json
new file mode 100644
index 000000000..e21b806dc
--- /dev/null
+++ b/data/hfopenllm_v2/Cran-May/merge_model_20250308_2/fd21d8bd-28cf-4b91-8075-c38a61f5f32a.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Cran-May_merge_model_20250308_2/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "merge_model_20250308_2",
+    "id": "Cran-May/merge_model_20250308_2",
+    "developer": "Cran-May",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.766
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5932
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6585
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4381
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3909
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4794
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.542
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Cran-May/merge_model_20250308_3/5448dbb6-9874-4734-8252-369c7b0189d7.json b/data/hfopenllm_v2/Cran-May/merge_model_20250308_3/5448dbb6-9874-4734-8252-369c7b0189d7.json
deleted file mode 100644
index f7460b2f8..000000000
--- a/data/hfopenllm_v2/Cran-May/merge_model_20250308_3/5448dbb6-9874-4734-8252-369c7b0189d7.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "retrieved_timestamp": "1762652579.513912",
-  "source_data": [
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-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Cran-May/merge_model_20250308_3",
-    "developer": "Cran-May",
-    "inference_platform": "unknown",
-    "id": "Cran-May/merge_model_20250308_3",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 14.766
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-  },
-  "evaluation_results": [
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-      "evaluation_name": "IFEval",
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-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-    {
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-    {
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-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
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-    },
-    {
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-        "score_type": "continuous",
-        "min_score": 0,
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-      },
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.43204166666666666
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.49617686170212766
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Cran-May/merge_model_20250308_3/c0f05e38-6592-478a-9c46-26567f24ff85.json b/data/hfopenllm_v2/Cran-May/merge_model_20250308_3/c0f05e38-6592-478a-9c46-26567f24ff85.json
new file mode 100644
index 000000000..2aca4048b
--- /dev/null
+++ b/data/hfopenllm_v2/Cran-May/merge_model_20250308_3/c0f05e38-6592-478a-9c46-26567f24ff85.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Cran-May_merge_model_20250308_3/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "merge_model_20250308_3",
+    "id": "Cran-May/merge_model_20250308_3",
+    "developer": "Cran-May",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.766
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6018
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6271
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2545
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3221
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.432
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4962
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Cran-May/merge_model_20250308_4/06cc2913-8e05-44bf-a128-9a7c4aeff536.json b/data/hfopenllm_v2/Cran-May/merge_model_20250308_4/06cc2913-8e05-44bf-a128-9a7c4aeff536.json
new file mode 100644
index 000000000..9d92eeeaa
--- /dev/null
+++ b/data/hfopenllm_v2/Cran-May/merge_model_20250308_4/06cc2913-8e05-44bf-a128-9a7c4aeff536.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Cran-May_merge_model_20250308_4/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "merge_model_20250308_4",
+    "id": "Cran-May/merge_model_20250308_4",
+    "developer": "Cran-May",
+    "inference_platform": "unknown",
+    "additional_details": {
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+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.766
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
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+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.454
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6664
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4199
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3977
+      }
+    },
+    {
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+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4688
+      }
+    },
+    {
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+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5367
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Cran-May/merge_model_20250308_4/45531924-35ad-4baf-9994-5d5fa3bafd02.json b/data/hfopenllm_v2/Cran-May/merge_model_20250308_4/45531924-35ad-4baf-9994-5d5fa3bafd02.json
deleted file mode 100644
index 5579d01f2..000000000
--- a/data/hfopenllm_v2/Cran-May/merge_model_20250308_4/45531924-35ad-4baf-9994-5d5fa3bafd02.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Cran-May_merge_model_20250308_4/1762652579.514166",
-  "retrieved_timestamp": "1762652579.514167",
-  "source_data": [
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-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Cran-May/merge_model_20250308_4",
-    "developer": "Cran-May",
-    "inference_platform": "unknown",
-    "id": "Cran-May/merge_model_20250308_4",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 14.766
-    }
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-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-    {
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-        "lower_is_better": false,
-        "score_type": "continuous",
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-        "lower_is_better": false,
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-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-    },
-    {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-        "score": 0.5366522606382979
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Cran-May/tempmotacilla-cinerea-0308/5e5e70f4-c597-415c-ab74-17aaf55b7b28.json b/data/hfopenllm_v2/Cran-May/tempmotacilla-cinerea-0308/5e5e70f4-c597-415c-ab74-17aaf55b7b28.json
deleted file mode 100644
index 609ccbb1f..000000000
--- a/data/hfopenllm_v2/Cran-May/tempmotacilla-cinerea-0308/5e5e70f4-c597-415c-ab74-17aaf55b7b28.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Cran-May_tempmotacilla-cinerea-0308/1762652579.514418",
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-  "source_data": [
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-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Cran-May/tempmotacilla-cinerea-0308",
-    "developer": "Cran-May",
-    "inference_platform": "unknown",
-    "id": "Cran-May/tempmotacilla-cinerea-0308",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 14.766
-    }
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-    {
-      "evaluation_name": "IFEval",
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-        "score_type": "continuous",
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-    },
-    {
-      "evaluation_name": "GPQA",
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-        "max_score": 1
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-      "score_details": {
-        "score": 0.3624161073825503
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-  ]
-}
diff --git a/data/hfopenllm_v2/Cran-May/tempmotacilla-cinerea-0308/86368d5b-0509-4b52-b988-58bcf7e1043e.json b/data/hfopenllm_v2/Cran-May/tempmotacilla-cinerea-0308/86368d5b-0509-4b52-b988-58bcf7e1043e.json
new file mode 100644
index 000000000..4adc26fd6
--- /dev/null
+++ b/data/hfopenllm_v2/Cran-May/tempmotacilla-cinerea-0308/86368d5b-0509-4b52-b988-58bcf7e1043e.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Cran-May_tempmotacilla-cinerea-0308/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "tempmotacilla-cinerea-0308",
+    "id": "Cran-May/tempmotacilla-cinerea-0308",
+    "developer": "Cran-May",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.766
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.8085
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+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6551
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+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5551
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+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3624
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+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4208
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+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.525
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/CreitinGameplays/Llama-3.1-8B-R1-v0.1/77b89fe6-464b-4017-a77f-8750e2668a82.json b/data/hfopenllm_v2/CreitinGameplays/Llama-3.1-8B-R1-v0.1/77b89fe6-464b-4017-a77f-8750e2668a82.json
new file mode 100644
index 000000000..213246109
--- /dev/null
+++ b/data/hfopenllm_v2/CreitinGameplays/Llama-3.1-8B-R1-v0.1/77b89fe6-464b-4017-a77f-8750e2668a82.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/CreitinGameplays_Llama-3.1-8B-R1-v0.1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-3.1-8B-R1-v0.1",
+    "id": "CreitinGameplays/Llama-3.1-8B-R1-v0.1",
+    "developer": "CreitinGameplays",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3235
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3057
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+    },
+    {
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+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+        "score": 0.2584
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3622
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1252
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/CultriX/Qwen2.5-14B-Broca/d2e47d86-23dd-4c95-a7fb-99518615d09f.json b/data/hfopenllm_v2/CultriX/Qwen2.5-14B-Broca/d2e47d86-23dd-4c95-a7fb-99518615d09f.json
new file mode 100644
index 000000000..b78a75058
--- /dev/null
+++ b/data/hfopenllm_v2/CultriX/Qwen2.5-14B-Broca/d2e47d86-23dd-4c95-a7fb-99518615d09f.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/CultriX_Qwen2.5-14B-Broca/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-14B-Broca",
+    "id": "CultriX/Qwen2.5-14B-Broca",
+    "developer": "CultriX",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.766
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
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diff --git a/data/hfopenllm_v2/CultriX/Qwen2.5-14B-BrocaV9/0a09891e-ac97-4c3a-8364-7106a851f1a8.json b/data/hfopenllm_v2/CultriX/Qwen2.5-14B-BrocaV9/0a09891e-ac97-4c3a-8364-7106a851f1a8.json
new file mode 100644
index 000000000..31c50cf81
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diff --git a/data/hfopenllm_v2/CultriX/Qwen2.5-14B-Brocav3/eb41fe62-ac46-4630-bb2d-6b907f271737.json b/data/hfopenllm_v2/CultriX/Qwen2.5-14B-Brocav3/eb41fe62-ac46-4630-bb2d-6b907f271737.json
new file mode 100644
index 000000000..e98b2f9be
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diff --git a/data/hfopenllm_v2/CultriX/Qwen2.5-14B-Brocav6/d540a6c8-e9ec-4413-b9d2-dee68533c377.json b/data/hfopenllm_v2/CultriX/Qwen2.5-14B-Brocav6/d540a6c8-e9ec-4413-b9d2-dee68533c377.json
new file mode 100644
index 000000000..9a923a074
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+++ b/data/hfopenllm_v2/CultriX/Qwen2.5-14B-Brocav6/d540a6c8-e9ec-4413-b9d2-dee68533c377.json
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/CultriX/Qwen2.5-14B-Brocav7/5b1f413a-05c4-43be-bdbc-9de5728e8d0a.json b/data/hfopenllm_v2/CultriX/Qwen2.5-14B-Brocav7/5b1f413a-05c4-43be-bdbc-9de5728e8d0a.json
new file mode 100644
index 000000000..3819754c9
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+++ b/data/hfopenllm_v2/CultriX/Qwen2.5-14B-Brocav7/5b1f413a-05c4-43be-bdbc-9de5728e8d0a.json
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/CultriX/Qwen2.5-14B-Emerged/6701738c-27e4-4bbd-b614-fbc297c3164f.json b/data/hfopenllm_v2/CultriX/Qwen2.5-14B-Emerged/6701738c-27e4-4bbd-b614-fbc297c3164f.json
new file mode 100644
index 000000000..84b4c7784
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diff --git a/data/hfopenllm_v2/CultriX/Qwen2.5-14B-Emergedv3/7f4563b4-0b25-49e7-ac1c-afaa28b0eda2.json b/data/hfopenllm_v2/CultriX/Qwen2.5-14B-Emergedv3/7f4563b4-0b25-49e7-ac1c-afaa28b0eda2.json
new file mode 100644
index 000000000..0ba7935ad
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diff --git a/data/hfopenllm_v2/CultriX/Qwen2.5-14B-FinalMerge/32b6e4af-69ba-49b7-9367-dfafe3e390e8.json b/data/hfopenllm_v2/CultriX/Qwen2.5-14B-FinalMerge/32b6e4af-69ba-49b7-9367-dfafe3e390e8.json
new file mode 100644
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diff --git a/data/hfopenllm_v2/CultriX/Qwen2.5-14B-Hyper/e16deaf7-da55-40ba-ac18-860fa3f14d34.json b/data/hfopenllm_v2/CultriX/Qwen2.5-14B-Hyper/e16deaf7-da55-40ba-ac18-860fa3f14d34.json
new file mode 100644
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diff --git a/data/hfopenllm_v2/CultriX/Qwen2.5-14B-HyperMarck-dl/8a7a5886-0618-4615-9cdf-46f5d19a29fe.json b/data/hfopenllm_v2/CultriX/Qwen2.5-14B-HyperMarck-dl/8a7a5886-0618-4615-9cdf-46f5d19a29fe.json
new file mode 100644
index 000000000..33af3ceb9
--- /dev/null
+++ b/data/hfopenllm_v2/CultriX/Qwen2.5-14B-HyperMarck-dl/8a7a5886-0618-4615-9cdf-46f5d19a29fe.json
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diff --git a/data/hfopenllm_v2/CultriX/Qwen2.5-14B-Hyperionv3/66d18e5b-9ebc-4ab6-94fb-6d5c23c58672.json b/data/hfopenllm_v2/CultriX/Qwen2.5-14B-Hyperionv3/66d18e5b-9ebc-4ab6-94fb-6d5c23c58672.json
new file mode 100644
index 000000000..ad906fa69
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+++ b/data/hfopenllm_v2/CultriX/Qwen2.5-14B-Hyperionv3/66d18e5b-9ebc-4ab6-94fb-6d5c23c58672.json
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diff --git a/data/hfopenllm_v2/CultriX/Qwen2.5-14B-Hyperionv4/a36aaaf6-2478-4b98-ad0c-2b06ddb8c308.json b/data/hfopenllm_v2/CultriX/Qwen2.5-14B-Hyperionv4/a36aaaf6-2478-4b98-ad0c-2b06ddb8c308.json
new file mode 100644
index 000000000..2baa36524
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diff --git a/data/hfopenllm_v2/CultriX/Qwen2.5-14B-Hyperionv5/4a6237a7-019c-4310-971e-84b08d1b5067.json b/data/hfopenllm_v2/CultriX/Qwen2.5-14B-Hyperionv5/4a6237a7-019c-4310-971e-84b08d1b5067.json
new file mode 100644
index 000000000..bdfbba563
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diff --git a/data/hfopenllm_v2/CultriX/Qwen2.5-14B-MegaMerge-pt2/996e781e-5939-41ac-b347-95c99037c34a.json b/data/hfopenllm_v2/CultriX/Qwen2.5-14B-MegaMerge-pt2/996e781e-5939-41ac-b347-95c99037c34a.json
new file mode 100644
index 000000000..0815bb180
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diff --git a/data/hfopenllm_v2/CultriX/Qwen2.5-14B-MergeStock/e880fa0e-ae49-4398-91bd-eadf8695425f.json b/data/hfopenllm_v2/CultriX/Qwen2.5-14B-MergeStock/e880fa0e-ae49-4398-91bd-eadf8695425f.json
new file mode 100644
index 000000000..64f818a07
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/CultriX/Qwen2.5-14B-ReasoningMerge/da04ff51-fbeb-41a8-ae5e-8ddf5925b792.json b/data/hfopenllm_v2/CultriX/Qwen2.5-14B-ReasoningMerge/da04ff51-fbeb-41a8-ae5e-8ddf5925b792.json
new file mode 100644
index 000000000..a2f6c4850
--- /dev/null
+++ b/data/hfopenllm_v2/CultriX/Qwen2.5-14B-ReasoningMerge/da04ff51-fbeb-41a8-ae5e-8ddf5925b792.json
@@ -0,0 +1,132 @@
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/CultriX/Qwen2.5-14B-Ultimav2/6d709396-1ae1-4e5c-a03c-13c1e9425202.json b/data/hfopenllm_v2/CultriX/Qwen2.5-14B-Ultimav2/6d709396-1ae1-4e5c-a03c-13c1e9425202.json
new file mode 100644
index 000000000..0693a1c39
--- /dev/null
+++ b/data/hfopenllm_v2/CultriX/Qwen2.5-14B-Ultimav2/6d709396-1ae1-4e5c-a03c-13c1e9425202.json
@@ -0,0 +1,132 @@
+{
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+        "hf_repo": "SaylorTwift/bbh"
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+      },
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
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+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
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+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/CultriX/Qwen2.5-14B-Unity/5b616df9-e15a-4f84-98b4-c2cb532c1b95.json b/data/hfopenllm_v2/CultriX/Qwen2.5-14B-Unity/5b616df9-e15a-4f84-98b4-c2cb532c1b95.json
new file mode 100644
index 000000000..5dd3c6ef1
--- /dev/null
+++ b/data/hfopenllm_v2/CultriX/Qwen2.5-14B-Unity/5b616df9-e15a-4f84-98b4-c2cb532c1b95.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/CultriX_Qwen2.5-14B-Unity/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
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+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-14B-Unity",
+    "id": "CultriX/Qwen2.5-14B-Unity",
+    "developer": "CultriX",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.766
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
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+        "evaluation_description": "Accuracy on IFEval",
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+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.602
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "GPQA",
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
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+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4679
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5076
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/CultriX/Qwen2.5-14B-Wernicke-SFT/0f6552d9-3cbe-447e-909b-068e5ceed4c9.json b/data/hfopenllm_v2/CultriX/Qwen2.5-14B-Wernicke-SFT/0f6552d9-3cbe-447e-909b-068e5ceed4c9.json
new file mode 100644
index 000000000..05fdd29f4
--- /dev/null
+++ b/data/hfopenllm_v2/CultriX/Qwen2.5-14B-Wernicke-SFT/0f6552d9-3cbe-447e-909b-068e5ceed4c9.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/CultriX_Qwen2.5-14B-Wernicke-SFT/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-14B-Wernicke-SFT",
+    "id": "CultriX/Qwen2.5-14B-Wernicke-SFT",
+    "developer": "CultriX",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.77
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4937
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6461
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.354
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.507
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/CultriX/Qwen2.5-14B-Wernicke-SFT/84bc884e-29be-40b5-bfe2-6147bec90a78.json b/data/hfopenllm_v2/CultriX/Qwen2.5-14B-Wernicke-SFT/84bc884e-29be-40b5-bfe2-6147bec90a78.json
deleted file mode 100644
index 70d4c38ac..000000000
--- a/data/hfopenllm_v2/CultriX/Qwen2.5-14B-Wernicke-SFT/84bc884e-29be-40b5-bfe2-6147bec90a78.json
+++ /dev/null
@@ -1,105 +0,0 @@
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new file mode 100644
index 000000000..19347fafa
--- /dev/null
+++ b/data/hfopenllm_v2/CultriX/Qwen2.5-14B-Wernicke-SLERP/2861aae0-d2ec-48f5-bd20-9e7bcaf8dabd.json
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diff --git a/data/hfopenllm_v2/CultriX/Qwen2.5-14B-Wernicke/51a64f37-256c-4fe7-b28c-6117520f04ec.json b/data/hfopenllm_v2/CultriX/Qwen2.5-14B-Wernicke/51a64f37-256c-4fe7-b28c-6117520f04ec.json
new file mode 100644
index 000000000..62b9abb48
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/CultriX/Qwen2.5-14B-Wernickev3/03ce9c1d-38e8-4a6c-b293-57428a9d7c0e.json b/data/hfopenllm_v2/CultriX/Qwen2.5-14B-Wernickev3/03ce9c1d-38e8-4a6c-b293-57428a9d7c0e.json
new file mode 100644
index 000000000..ece044f89
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/CultriX/Qwen2.5-14B-partialmergept1/3b0f5dea-db9b-4657-9807-6b3e56d38823.json b/data/hfopenllm_v2/CultriX/Qwen2.5-14B-partialmergept1/3b0f5dea-db9b-4657-9807-6b3e56d38823.json
new file mode 100644
index 000000000..a8c01a5f1
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/CultriX/Qwenfinity-2.5-14B/2d19e9ff-e331-4171-ae90-47e44f3f8885.json b/data/hfopenllm_v2/CultriX/Qwenfinity-2.5-14B/2d19e9ff-e331-4171-ae90-47e44f3f8885.json
new file mode 100644
index 000000000..4b70d0648
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+++ b/data/hfopenllm_v2/CultriX/Qwenfinity-2.5-14B/2d19e9ff-e331-4171-ae90-47e44f3f8885.json
@@ -0,0 +1,132 @@
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/CultriX/Qwestion-14B/6bfb8b24-1abd-405b-b01d-7d7111705dbb.json b/data/hfopenllm_v2/CultriX/Qwestion-14B/6bfb8b24-1abd-405b-b01d-7d7111705dbb.json
new file mode 100644
index 000000000..27242621d
--- /dev/null
+++ b/data/hfopenllm_v2/CultriX/Qwestion-14B/6bfb8b24-1abd-405b-b01d-7d7111705dbb.json
@@ -0,0 +1,132 @@
+{
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/CultriX/Qwestion-14B/c6ad96f2-fcb9-47c5-8106-936436b6ad1b.json b/data/hfopenllm_v2/CultriX/Qwestion-14B/c6ad96f2-fcb9-47c5-8106-936436b6ad1b.json
deleted file mode 100644
index 241b3800d..000000000
--- a/data/hfopenllm_v2/CultriX/Qwestion-14B/c6ad96f2-fcb9-47c5-8106-936436b6ad1b.json
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diff --git a/data/hfopenllm_v2/CultriX/SeQwence-14B-EvolMerge/c83e6b6c-c8be-4d97-9c65-2d883f88f37f.json b/data/hfopenllm_v2/CultriX/SeQwence-14B-EvolMerge/c83e6b6c-c8be-4d97-9c65-2d883f88f37f.json
new file mode 100644
index 000000000..2ff8194ea
--- /dev/null
+++ b/data/hfopenllm_v2/CultriX/SeQwence-14B-EvolMerge/c83e6b6c-c8be-4d97-9c65-2d883f88f37f.json
@@ -0,0 +1,132 @@
+{
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+    "developer": "CultriX",
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+        "hf_repo": "TAUR-Lab/MuSR"
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+        "hf_repo": "TIGER-Lab/MMLU-Pro"
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/CultriX/SeQwence-14B-EvolMergev1/72569796-1b11-48cc-ada7-e8c09522dd54.json b/data/hfopenllm_v2/CultriX/SeQwence-14B-EvolMergev1/72569796-1b11-48cc-ada7-e8c09522dd54.json
new file mode 100644
index 000000000..eb95ee2a0
--- /dev/null
+++ b/data/hfopenllm_v2/CultriX/SeQwence-14B-EvolMergev1/72569796-1b11-48cc-ada7-e8c09522dd54.json
@@ -0,0 +1,132 @@
+{
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+  "source_metadata": {
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diff --git a/data/hfopenllm_v2/CultriX/SeQwence-14B-v5/58403e30-bd2b-4f4c-ad41-daa890c77d40.json b/data/hfopenllm_v2/CultriX/SeQwence-14B-v5/58403e30-bd2b-4f4c-ad41-daa890c77d40.json
new file mode 100644
index 000000000..3cbe2fbd3
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+++ b/data/hfopenllm_v2/CultriX/SeQwence-14B-v5/58403e30-bd2b-4f4c-ad41-daa890c77d40.json
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diff --git a/data/hfopenllm_v2/CultriX/SeQwence-14B/eb8e1f1d-c6b3-407c-b172-d240553d2f89.json b/data/hfopenllm_v2/CultriX/SeQwence-14B/eb8e1f1d-c6b3-407c-b172-d240553d2f89.json
new file mode 100644
index 000000000..c20b9bd39
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diff --git a/data/hfopenllm_v2/CultriX/SeQwence-14Bv1/356d75a0-6520-46c1-afa9-7dbb2596a5c1.json b/data/hfopenllm_v2/CultriX/SeQwence-14Bv1/356d75a0-6520-46c1-afa9-7dbb2596a5c1.json
new file mode 100644
index 000000000..4bc3ce623
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diff --git a/data/hfopenllm_v2/CultriX/SeQwence-14Bv2/78681e0c-5fe2-4920-af7b-99345cea3efe.json b/data/hfopenllm_v2/CultriX/SeQwence-14Bv2/78681e0c-5fe2-4920-af7b-99345cea3efe.json
new file mode 100644
index 000000000..a0e28a509
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/CultriX/SeQwence-14Bv3/ba0ee5b4-070a-461d-a3d2-cd4036387cc9.json b/data/hfopenllm_v2/CultriX/SeQwence-14Bv3/ba0ee5b4-070a-461d-a3d2-cd4036387cc9.json
new file mode 100644
index 000000000..ff855fb3e
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+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3649
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4624
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5335
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DRXD1000/Atlas-7B/17d0d377-bca4-411c-be11-6c5cfce07798.json b/data/hfopenllm_v2/DRXD1000/Atlas-7B/17d0d377-bca4-411c-be11-6c5cfce07798.json
new file mode 100644
index 000000000..3ae174b80
--- /dev/null
+++ b/data/hfopenllm_v2/DRXD1000/Atlas-7B/17d0d377-bca4-411c-be11-6c5cfce07798.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/DRXD1000_Atlas-7B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Atlas-7B",
+    "id": "DRXD1000/Atlas-7B",
+    "developer": "DRXD1000",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 7.768
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3704
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3302
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0189
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2576
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3342
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1401
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DRXD1000/Atlas-7B/1f223500-a1d6-471f-b3cf-2575ab5a52c8.json b/data/hfopenllm_v2/DRXD1000/Atlas-7B/1f223500-a1d6-471f-b3cf-2575ab5a52c8.json
deleted file mode 100644
index c1ad0efca..000000000
--- a/data/hfopenllm_v2/DRXD1000/Atlas-7B/1f223500-a1d6-471f-b3cf-2575ab5a52c8.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/DRXD1000_Atlas-7B/1762652579.5232708",
-  "retrieved_timestamp": "1762652579.523272",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "DRXD1000/Atlas-7B",
-    "developer": "DRXD1000",
-    "inference_platform": "unknown",
-    "id": "DRXD1000/Atlas-7B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 7.768
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3704459722425387
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3302176697760134
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.0188821752265861
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2575503355704698
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.33425
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.14012632978723405
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/DRXD1000/Phoenix-7B/bff80553-e91f-470e-923c-7f8103d37fca.json b/data/hfopenllm_v2/DRXD1000/Phoenix-7B/bff80553-e91f-470e-923c-7f8103d37fca.json
deleted file mode 100644
index 2901a08d6..000000000
--- a/data/hfopenllm_v2/DRXD1000/Phoenix-7B/bff80553-e91f-470e-923c-7f8103d37fca.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/DRXD1000_Phoenix-7B/1762652579.5236301",
-  "retrieved_timestamp": "1762652579.523632",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "DRXD1000/Phoenix-7B",
-    "developer": "DRXD1000",
-    "inference_platform": "unknown",
-    "id": "DRXD1000/Phoenix-7B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3209617149164218
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3931566034728218
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.01661631419939577
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2785234899328859
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.38494791666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.23429188829787234
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/DRXD1000/Phoenix-7B/d01a56a1-1eb9-4ccf-8c09-348b6ba5480b.json b/data/hfopenllm_v2/DRXD1000/Phoenix-7B/d01a56a1-1eb9-4ccf-8c09-348b6ba5480b.json
new file mode 100644
index 000000000..9ea88c590
--- /dev/null
+++ b/data/hfopenllm_v2/DRXD1000/Phoenix-7B/d01a56a1-1eb9-4ccf-8c09-348b6ba5480b.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/DRXD1000_Phoenix-7B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Phoenix-7B",
+    "id": "DRXD1000/Phoenix-7B",
+    "developer": "DRXD1000",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.321
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3932
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0166
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2785
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3849
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2343
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DUAL-GPO/zephyr-7b-ipo-0k-15k-i1/389821ff-d8e2-4d1d-8fb2-57a689867ac5.json b/data/hfopenllm_v2/DUAL-GPO/zephyr-7b-ipo-0k-15k-i1/389821ff-d8e2-4d1d-8fb2-57a689867ac5.json
new file mode 100644
index 000000000..1cd2505fb
--- /dev/null
+++ b/data/hfopenllm_v2/DUAL-GPO/zephyr-7b-ipo-0k-15k-i1/389821ff-d8e2-4d1d-8fb2-57a689867ac5.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/DUAL-GPO_zephyr-7b-ipo-0k-15k-i1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "zephyr-7b-ipo-0k-15k-i1",
+    "id": "DUAL-GPO/zephyr-7b-ipo-0k-15k-i1",
+    "developer": "DUAL-GPO",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "?",
+      "params_billions": 14.483
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2756
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4473
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0302
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2911
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4173
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.313
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DUAL-GPO/zephyr-7b-ipo-0k-15k-i1/a4cd4144-75d5-4c48-a936-96d70f052a66.json b/data/hfopenllm_v2/DUAL-GPO/zephyr-7b-ipo-0k-15k-i1/a4cd4144-75d5-4c48-a936-96d70f052a66.json
deleted file mode 100644
index d88f58de8..000000000
--- a/data/hfopenllm_v2/DUAL-GPO/zephyr-7b-ipo-0k-15k-i1/a4cd4144-75d5-4c48-a936-96d70f052a66.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/DUAL-GPO_zephyr-7b-ipo-0k-15k-i1/1762652579.523929",
-  "retrieved_timestamp": "1762652579.52393",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "DUAL-GPO/zephyr-7b-ipo-0k-15k-i1",
-    "developer": "DUAL-GPO",
-    "inference_platform": "unknown",
-    "id": "DUAL-GPO/zephyr-7b-ipo-0k-15k-i1",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "?",
-      "params_billions": 14.483
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.27562423259174545
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4472712447565954
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.030211480362537766
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2911073825503356
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41734374999999996
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.31299867021276595
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/DZgas/GIGABATEMAN-7B/180be3a9-1d8e-4705-bda4-032bc66768c6.json b/data/hfopenllm_v2/DZgas/GIGABATEMAN-7B/180be3a9-1d8e-4705-bda4-032bc66768c6.json
deleted file mode 100644
index 3134fb82d..000000000
--- a/data/hfopenllm_v2/DZgas/GIGABATEMAN-7B/180be3a9-1d8e-4705-bda4-032bc66768c6.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/DZgas_GIGABATEMAN-7B/1762652579.524226",
-  "retrieved_timestamp": "1762652579.5242271",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "DZgas/GIGABATEMAN-7B",
-    "developer": "DZgas",
-    "inference_platform": "unknown",
-    "id": "DZgas/GIGABATEMAN-7B",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.46074637517342876
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5032184342862756
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.05513595166163142
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.28942953020134227
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.43284374999999997
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3176529255319149
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/DZgas/GIGABATEMAN-7B/7913f782-29b0-48bd-bc62-37da9a5ac7d9.json b/data/hfopenllm_v2/DZgas/GIGABATEMAN-7B/7913f782-29b0-48bd-bc62-37da9a5ac7d9.json
new file mode 100644
index 000000000..150aa45c9
--- /dev/null
+++ b/data/hfopenllm_v2/DZgas/GIGABATEMAN-7B/7913f782-29b0-48bd-bc62-37da9a5ac7d9.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/DZgas_GIGABATEMAN-7B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "GIGABATEMAN-7B",
+    "id": "DZgas/GIGABATEMAN-7B",
+    "developer": "DZgas",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4607
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5032
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0551
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2894
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4328
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3177
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Daemontatox/AetherDrake-SFT/843cbaa0-5d9d-47a8-ae69-fe38a5812136.json b/data/hfopenllm_v2/Daemontatox/AetherDrake-SFT/843cbaa0-5d9d-47a8-ae69-fe38a5812136.json
deleted file mode 100644
index e22fb8432..000000000
--- a/data/hfopenllm_v2/Daemontatox/AetherDrake-SFT/843cbaa0-5d9d-47a8-ae69-fe38a5812136.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Daemontatox_AetherDrake-SFT/1762652579.524555",
-  "retrieved_timestamp": "1762652579.524556",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Daemontatox/AetherDrake-SFT",
-    "developer": "Daemontatox",
-    "inference_platform": "unknown",
-    "id": "Daemontatox/AetherDrake-SFT",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4812796712722244
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.48720075507220245
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1510574018126888
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.32046979865771813
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.40884375
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.34990026595744683
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Daemontatox/AetherDrake-SFT/b0930974-999e-4372-9d21-b9790e0bad4c.json b/data/hfopenllm_v2/Daemontatox/AetherDrake-SFT/b0930974-999e-4372-9d21-b9790e0bad4c.json
new file mode 100644
index 000000000..e4aedebfc
--- /dev/null
+++ b/data/hfopenllm_v2/Daemontatox/AetherDrake-SFT/b0930974-999e-4372-9d21-b9790e0bad4c.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Daemontatox_AetherDrake-SFT/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "AetherDrake-SFT",
+    "id": "Daemontatox/AetherDrake-SFT",
+    "developer": "Daemontatox",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4813
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4872
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1511
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3205
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4088
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3499
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Daemontatox/AetherSett/791a8f9f-5c85-42e5-a06d-270118b0c7c2.json b/data/hfopenllm_v2/Daemontatox/AetherSett/791a8f9f-5c85-42e5-a06d-270118b0c7c2.json
deleted file mode 100644
index b5c1fcf8b..000000000
--- a/data/hfopenllm_v2/Daemontatox/AetherSett/791a8f9f-5c85-42e5-a06d-270118b0c7c2.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Daemontatox_AetherSett/1762652579.524883",
-  "retrieved_timestamp": "1762652579.524884",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Daemontatox/AetherSett",
-    "developer": "Daemontatox",
-    "inference_platform": "unknown",
-    "id": "Daemontatox/AetherSett",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.616
-    }
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-  "evaluation_results": [
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-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5451624435465484
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30788590604026844
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.46031249999999996
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4278590425531915
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Daemontatox/AetherSett/8265f577-f504-4a56-9cf0-42c34766559a.json b/data/hfopenllm_v2/Daemontatox/AetherSett/8265f577-f504-4a56-9cf0-42c34766559a.json
new file mode 100644
index 000000000..66d790f66
--- /dev/null
+++ b/data/hfopenllm_v2/Daemontatox/AetherSett/8265f577-f504-4a56-9cf0-42c34766559a.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Daemontatox_AetherSett/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "AetherSett",
+    "id": "Daemontatox/AetherSett",
+    "developer": "Daemontatox",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.537
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5452
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3973
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3079
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4603
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4279
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Daemontatox/AetherTOT/82044cd2-1a46-406e-bc68-397ce41b29ea.json b/data/hfopenllm_v2/Daemontatox/AetherTOT/82044cd2-1a46-406e-bc68-397ce41b29ea.json
new file mode 100644
index 000000000..859888bd9
--- /dev/null
+++ b/data/hfopenllm_v2/Daemontatox/AetherTOT/82044cd2-1a46-406e-bc68-397ce41b29ea.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Daemontatox_AetherTOT/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "AetherTOT",
+    "id": "Daemontatox/AetherTOT",
+    "developer": "Daemontatox",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MllamaForConditionalGeneration",
+      "params_billions": 10.67
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4383
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5034
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1443
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3238
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4052
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3778
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Daemontatox/AetherTOT/8ac4547d-2b57-4227-a63d-05da4f3ccbc7.json b/data/hfopenllm_v2/Daemontatox/AetherTOT/8ac4547d-2b57-4227-a63d-05da4f3ccbc7.json
deleted file mode 100644
index b1ecd647b..000000000
--- a/data/hfopenllm_v2/Daemontatox/AetherTOT/8ac4547d-2b57-4227-a63d-05da4f3ccbc7.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Daemontatox_AetherTOT/1762652579.5251331",
-  "retrieved_timestamp": "1762652579.5251389",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Daemontatox/AetherTOT",
-    "developer": "Daemontatox",
-    "inference_platform": "unknown",
-    "id": "Daemontatox/AetherTOT",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "MllamaForConditionalGeneration",
-      "params_billions": 10.67
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4397642699149368
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5066056342472064
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1487915407854985
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3238255033557047
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4078541666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.38040226063829785
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Daemontatox/AetherTOT/de09e323-8cf1-4aa9-9537-e8ad30a8c297.json b/data/hfopenllm_v2/Daemontatox/AetherTOT/de09e323-8cf1-4aa9-9537-e8ad30a8c297.json
new file mode 100644
index 000000000..e4d9830af
--- /dev/null
+++ b/data/hfopenllm_v2/Daemontatox/AetherTOT/de09e323-8cf1-4aa9-9537-e8ad30a8c297.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Daemontatox_AetherTOT/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "AetherTOT",
+    "id": "Daemontatox/AetherTOT",
+    "developer": "Daemontatox",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "MllamaForConditionalGeneration",
+      "params_billions": 10.67
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4398
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5066
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1488
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3238
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4079
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3804
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Daemontatox/AetherTOT/fa9282c6-7820-49dd-9893-9559c5a984a9.json b/data/hfopenllm_v2/Daemontatox/AetherTOT/fa9282c6-7820-49dd-9893-9559c5a984a9.json
deleted file mode 100644
index 340a7babe..000000000
--- a/data/hfopenllm_v2/Daemontatox/AetherTOT/fa9282c6-7820-49dd-9893-9559c5a984a9.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Daemontatox_AetherTOT/1762652579.5253801",
-  "retrieved_timestamp": "1762652579.525381",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Daemontatox/AetherTOT",
-    "developer": "Daemontatox",
-    "inference_platform": "unknown",
-    "id": "Daemontatox/AetherTOT",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MllamaForConditionalGeneration",
-      "params_billions": 10.67
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.43829040279790954
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5034307630533988
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
-        "score": 0.3238255033557047
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-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.40518750000000003
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37782579787234044
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Daemontatox/AetherUncensored/574d79eb-94ae-4b79-8763-77267d300670.json b/data/hfopenllm_v2/Daemontatox/AetherUncensored/574d79eb-94ae-4b79-8763-77267d300670.json
deleted file mode 100644
index 7868e30f2..000000000
--- a/data/hfopenllm_v2/Daemontatox/AetherUncensored/574d79eb-94ae-4b79-8763-77267d300670.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Daemontatox_AetherUncensored/1762652579.525634",
-  "retrieved_timestamp": "1762652579.5256362",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Daemontatox/AetherUncensored",
-    "developer": "Daemontatox",
-    "inference_platform": "unknown",
-    "id": "Daemontatox/AetherUncensored",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.40419309653940433
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.44631282805144945
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.14501510574018128
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.28859060402684567
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3746770833333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.27102726063829785
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Daemontatox/AetherUncensored/bfe543b4-ec38-488e-ae04-125cd358b61f.json b/data/hfopenllm_v2/Daemontatox/AetherUncensored/bfe543b4-ec38-488e-ae04-125cd358b61f.json
new file mode 100644
index 000000000..a8cb84de3
--- /dev/null
+++ b/data/hfopenllm_v2/Daemontatox/AetherUncensored/bfe543b4-ec38-488e-ae04-125cd358b61f.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Daemontatox_AetherUncensored/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "AetherUncensored",
+    "id": "Daemontatox/AetherUncensored",
+    "developer": "Daemontatox",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4042
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4463
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.145
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2886
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3747
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.271
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Daemontatox/Cogito-MIS/822268e0-8f66-4bb3-9d01-52c684ca281f.json b/data/hfopenllm_v2/Daemontatox/Cogito-MIS/822268e0-8f66-4bb3-9d01-52c684ca281f.json
deleted file mode 100644
index 6f6de8dfc..000000000
--- a/data/hfopenllm_v2/Daemontatox/Cogito-MIS/822268e0-8f66-4bb3-9d01-52c684ca281f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Daemontatox_Cogito-MIS/1762652579.525943",
-  "retrieved_timestamp": "1762652579.5259452",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Daemontatox/Cogito-MIS",
-    "developer": "Daemontatox",
-    "inference_platform": "unknown",
-    "id": "Daemontatox/Cogito-MIS",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 23.572
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.18145188100905596
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5059981143086196
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.08610271903323263
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.25671140939597314
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37676041666666665
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.14353390957446807
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Daemontatox/Cogito-MIS/be36d8ae-b81c-4b4e-aa2f-5999c7582237.json b/data/hfopenllm_v2/Daemontatox/Cogito-MIS/be36d8ae-b81c-4b4e-aa2f-5999c7582237.json
new file mode 100644
index 000000000..8a0c7af29
--- /dev/null
+++ b/data/hfopenllm_v2/Daemontatox/Cogito-MIS/be36d8ae-b81c-4b4e-aa2f-5999c7582237.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Daemontatox_Cogito-MIS/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Cogito-MIS",
+    "id": "Daemontatox/Cogito-MIS",
+    "developer": "Daemontatox",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 23.572
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1815
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.506
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0861
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2567
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3768
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1435
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Daemontatox/CogitoDistil/342b435f-89e9-48ad-ab0f-2c1f52f4571a.json b/data/hfopenllm_v2/Daemontatox/CogitoDistil/342b435f-89e9-48ad-ab0f-2c1f52f4571a.json
new file mode 100644
index 000000000..c37151cbd
--- /dev/null
+++ b/data/hfopenllm_v2/Daemontatox/CogitoDistil/342b435f-89e9-48ad-ab0f-2c1f52f4571a.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Daemontatox_CogitoDistil/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "CogitoDistil",
+    "id": "Daemontatox/CogitoDistil",
+    "developer": "Daemontatox",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2776
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3677
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3927
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2592
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3755
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2625
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Daemontatox/CogitoDistil/f39e1ca4-2a0f-4650-886b-4160760daee5.json b/data/hfopenllm_v2/Daemontatox/CogitoDistil/f39e1ca4-2a0f-4650-886b-4160760daee5.json
deleted file mode 100644
index edc6fe053..000000000
--- a/data/hfopenllm_v2/Daemontatox/CogitoDistil/f39e1ca4-2a0f-4650-886b-4160760daee5.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Daemontatox_CogitoDistil/1762652579.526295",
-  "retrieved_timestamp": "1762652579.5262961",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Daemontatox/CogitoDistil",
-    "developer": "Daemontatox",
-    "inference_platform": "unknown",
-    "id": "Daemontatox/CogitoDistil",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.616
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.27764775240805506
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.36767660461416857
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.39274924471299094
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.25922818791946306
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3754895833333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2625498670212766
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Daemontatox/CogitoZ/5e08074c-32bd-4ce6-a09f-7b5832cba288.json b/data/hfopenllm_v2/Daemontatox/CogitoZ/5e08074c-32bd-4ce6-a09f-7b5832cba288.json
deleted file mode 100644
index 8aa75ccc4..000000000
--- a/data/hfopenllm_v2/Daemontatox/CogitoZ/5e08074c-32bd-4ce6-a09f-7b5832cba288.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Daemontatox_CogitoZ/1762652579.5265448",
-  "retrieved_timestamp": "1762652579.526546",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Daemontatox/CogitoZ",
-    "developer": "Daemontatox",
-    "inference_platform": "unknown",
-    "id": "Daemontatox/CogitoZ",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 32.764
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3967240255854466
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6734487392645502
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5241691842900302
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3951342281879195
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4792604166666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5592586436170213
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Daemontatox/CogitoZ/b0c8737d-d838-4da1-909b-b218e22119dc.json b/data/hfopenllm_v2/Daemontatox/CogitoZ/b0c8737d-d838-4da1-909b-b218e22119dc.json
new file mode 100644
index 000000000..f78c0c39c
--- /dev/null
+++ b/data/hfopenllm_v2/Daemontatox/CogitoZ/b0c8737d-d838-4da1-909b-b218e22119dc.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Daemontatox_CogitoZ/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "CogitoZ",
+    "id": "Daemontatox/CogitoZ",
+    "developer": "Daemontatox",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 32.764
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3967
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6734
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5242
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3951
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4793
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5593
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Daemontatox/CogitoZ14/024f23d8-66b0-4a7b-be01-fd68f0ab295e.json b/data/hfopenllm_v2/Daemontatox/CogitoZ14/024f23d8-66b0-4a7b-be01-fd68f0ab295e.json
deleted file mode 100644
index d776a4386..000000000
--- a/data/hfopenllm_v2/Daemontatox/CogitoZ14/024f23d8-66b0-4a7b-be01-fd68f0ab295e.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Daemontatox_CogitoZ14/1762652579.526777",
-  "retrieved_timestamp": "1762652579.5267782",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Daemontatox/CogitoZ14",
-    "developer": "Daemontatox",
-    "inference_platform": "unknown",
-    "id": "Daemontatox/CogitoZ14",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 14.77
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6637034180419066
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6297514788808327
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42220543806646527
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3162751677852349
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.405875
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.39993351063829785
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Daemontatox/CogitoZ14/4cd40f28-842f-44d5-9eb2-86238077fc55.json b/data/hfopenllm_v2/Daemontatox/CogitoZ14/4cd40f28-842f-44d5-9eb2-86238077fc55.json
new file mode 100644
index 000000000..e16a58952
--- /dev/null
+++ b/data/hfopenllm_v2/Daemontatox/CogitoZ14/4cd40f28-842f-44d5-9eb2-86238077fc55.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Daemontatox_CogitoZ14/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "CogitoZ14",
+    "id": "Daemontatox/CogitoZ14",
+    "developer": "Daemontatox",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.77
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6637
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6298
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4222
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3163
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4059
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3999
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Daemontatox/DocumentCogito/0758051c-2d75-402e-af0e-769096cbb17c.json b/data/hfopenllm_v2/Daemontatox/DocumentCogito/0758051c-2d75-402e-af0e-769096cbb17c.json
new file mode 100644
index 000000000..b59d83df4
--- /dev/null
+++ b/data/hfopenllm_v2/Daemontatox/DocumentCogito/0758051c-2d75-402e-af0e-769096cbb17c.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Daemontatox_DocumentCogito/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "DocumentCogito",
+    "id": "Daemontatox/DocumentCogito",
+    "developer": "Daemontatox",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "MllamaForConditionalGeneration",
+      "params_billions": 10.67
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.777
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5187
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2198
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2936
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3911
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3738
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Daemontatox/DocumentCogito/6d2a742b-adde-4b6d-90d4-ebefbb2b61be.json b/data/hfopenllm_v2/Daemontatox/DocumentCogito/6d2a742b-adde-4b6d-90d4-ebefbb2b61be.json
deleted file mode 100644
index df3c3ac1c..000000000
--- a/data/hfopenllm_v2/Daemontatox/DocumentCogito/6d2a742b-adde-4b6d-90d4-ebefbb2b61be.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Daemontatox_DocumentCogito/1762652579.5270069",
-  "retrieved_timestamp": "1762652579.527008",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Daemontatox/DocumentCogito",
-    "developer": "Daemontatox",
-    "inference_platform": "unknown",
-    "id": "Daemontatox/DocumentCogito",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MllamaForConditionalGeneration",
-      "params_billions": 10.67
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5064340394597445
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5111563719111275
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.16314199395770393
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3162751677852349
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3973125
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.38023603723404253
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Daemontatox/DocumentCogito/9a638bb6-f16f-496b-a974-d97dbb6cd626.json b/data/hfopenllm_v2/Daemontatox/DocumentCogito/9a638bb6-f16f-496b-a974-d97dbb6cd626.json
deleted file mode 100644
index 3fd2dc59c..000000000
--- a/data/hfopenllm_v2/Daemontatox/DocumentCogito/9a638bb6-f16f-496b-a974-d97dbb6cd626.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Daemontatox_DocumentCogito/1762652579.527227",
-  "retrieved_timestamp": "1762652579.5272279",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Daemontatox/DocumentCogito",
-    "developer": "Daemontatox",
-    "inference_platform": "unknown",
-    "id": "Daemontatox/DocumentCogito",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "MllamaForConditionalGeneration",
-      "params_billions": 10.67
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7770349339751859
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5186726621665779
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.21978851963746224
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2936241610738255
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.39105208333333336
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3737533244680851
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Daemontatox/DocumentCogito/c93f610b-fb97-4ad1-b8af-fc41c6d8da33.json b/data/hfopenllm_v2/Daemontatox/DocumentCogito/c93f610b-fb97-4ad1-b8af-fc41c6d8da33.json
new file mode 100644
index 000000000..4744e7468
--- /dev/null
+++ b/data/hfopenllm_v2/Daemontatox/DocumentCogito/c93f610b-fb97-4ad1-b8af-fc41c6d8da33.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Daemontatox_DocumentCogito/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "DocumentCogito",
+    "id": "Daemontatox/DocumentCogito",
+    "developer": "Daemontatox",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MllamaForConditionalGeneration",
+      "params_billions": 10.67
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5064
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5112
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1631
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3163
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3973
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3802
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Daemontatox/Llama3.3-70B-CogniLink/b8467118-d895-41fa-81c7-89892e1844d5.json b/data/hfopenllm_v2/Daemontatox/Llama3.3-70B-CogniLink/b8467118-d895-41fa-81c7-89892e1844d5.json
new file mode 100644
index 000000000..7fa8b968c
--- /dev/null
+++ b/data/hfopenllm_v2/Daemontatox/Llama3.3-70B-CogniLink/b8467118-d895-41fa-81c7-89892e1844d5.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Daemontatox_Llama3.3-70B-CogniLink/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama3.3-70B-CogniLink",
+    "id": "Daemontatox/Llama3.3-70B-CogniLink",
+    "developer": "Daemontatox",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 70.554
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6931
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6668
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4139
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4455
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4877
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5173
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Daemontatox/Llama_cot/30d867bb-63c6-48d1-8d43-6c24f4cf44ba.json b/data/hfopenllm_v2/Daemontatox/Llama_cot/30d867bb-63c6-48d1-8d43-6c24f4cf44ba.json
new file mode 100644
index 000000000..e654aab90
--- /dev/null
+++ b/data/hfopenllm_v2/Daemontatox/Llama_cot/30d867bb-63c6-48d1-8d43-6c24f4cf44ba.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Daemontatox_Llama_cot/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama_cot",
+    "id": "Daemontatox/Llama_cot",
+    "developer": "Daemontatox",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "MllamaForConditionalGeneration",
+      "params_billions": 10.67
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7549
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4838
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2024
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2911
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3872
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3518
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Daemontatox/MawaredT1/1e87d1ea-59df-4c1a-96da-31e12e27dab2.json b/data/hfopenllm_v2/Daemontatox/MawaredT1/1e87d1ea-59df-4c1a-96da-31e12e27dab2.json
deleted file mode 100644
index e25cc8d90..000000000
--- a/data/hfopenllm_v2/Daemontatox/MawaredT1/1e87d1ea-59df-4c1a-96da-31e12e27dab2.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Daemontatox_MawaredT1/1762652579.527918",
-  "retrieved_timestamp": "1762652579.527919",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Daemontatox/MawaredT1",
-    "developer": "Daemontatox",
-    "inference_platform": "unknown",
-    "id": "Daemontatox/MawaredT1",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.616
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41988036188424493
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5214815439293661
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3021148036253776
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3347315436241611
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.47020833333333334
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4718251329787234
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Daemontatox/MawaredT1/89b92cda-c5b6-45ed-a534-361c9d34794a.json b/data/hfopenllm_v2/Daemontatox/MawaredT1/89b92cda-c5b6-45ed-a534-361c9d34794a.json
new file mode 100644
index 000000000..9ac085f5f
--- /dev/null
+++ b/data/hfopenllm_v2/Daemontatox/MawaredT1/89b92cda-c5b6-45ed-a534-361c9d34794a.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Daemontatox_MawaredT1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "MawaredT1",
+    "id": "Daemontatox/MawaredT1",
+    "developer": "Daemontatox",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4199
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5215
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3021
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3347
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4702
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4718
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Daemontatox/Mini_QwQ/48cdf76a-886d-41ec-8580-00ed4232b601.json b/data/hfopenllm_v2/Daemontatox/Mini_QwQ/48cdf76a-886d-41ec-8580-00ed4232b601.json
new file mode 100644
index 000000000..e1b1e912d
--- /dev/null
+++ b/data/hfopenllm_v2/Daemontatox/Mini_QwQ/48cdf76a-886d-41ec-8580-00ed4232b601.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Daemontatox_Mini_QwQ/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Mini_QwQ",
+    "id": "Daemontatox/Mini_QwQ",
+    "developer": "Daemontatox",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4497
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5549
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4192
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3037
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4682
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4373
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Daemontatox/Mini_QwQ/7d5c59eb-c6fb-414a-9e4e-44d1d56f7401.json b/data/hfopenllm_v2/Daemontatox/Mini_QwQ/7d5c59eb-c6fb-414a-9e4e-44d1d56f7401.json
deleted file mode 100644
index 420e60009..000000000
--- a/data/hfopenllm_v2/Daemontatox/Mini_QwQ/7d5c59eb-c6fb-414a-9e4e-44d1d56f7401.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Daemontatox_Mini_QwQ/1762652579.528199",
-  "retrieved_timestamp": "1762652579.5282",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Daemontatox/Mini_QwQ",
-    "developer": "Daemontatox",
-    "inference_platform": "unknown",
-    "id": "Daemontatox/Mini_QwQ",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.616
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.44970566984490046
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.554898906584336
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41918429003021146
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3036912751677852
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.46825
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.437250664893617
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Daemontatox/NemoR/116272d4-d25d-49cb-80cb-ff26a0fb3cf4.json b/data/hfopenllm_v2/Daemontatox/NemoR/116272d4-d25d-49cb-80cb-ff26a0fb3cf4.json
new file mode 100644
index 000000000..450d53bc4
--- /dev/null
+++ b/data/hfopenllm_v2/Daemontatox/NemoR/116272d4-d25d-49cb-80cb-ff26a0fb3cf4.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Daemontatox_NemoR/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "NemoR",
+    "id": "Daemontatox/NemoR",
+    "developer": "Daemontatox",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 6.124
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2287
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5194
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0831
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3272
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3908
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.329
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Daemontatox/NemoR/a2da90e0-5f59-4c89-b819-316d2cc318be.json b/data/hfopenllm_v2/Daemontatox/NemoR/a2da90e0-5f59-4c89-b819-316d2cc318be.json
deleted file mode 100644
index 7dccc9c8f..000000000
--- a/data/hfopenllm_v2/Daemontatox/NemoR/a2da90e0-5f59-4c89-b819-316d2cc318be.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Daemontatox_NemoR/1762652579.528459",
-  "retrieved_timestamp": "1762652579.528459",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Daemontatox/NemoR",
-    "developer": "Daemontatox",
-    "inference_platform": "unknown",
-    "id": "Daemontatox/NemoR",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 6.124
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2287375275380435
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5194067688446361
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.08308157099697885
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3271812080536913
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.39080208333333327
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.32903922872340424
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Daemontatox/PathFinderAI2.0/274ab6b9-5fd7-41df-9076-b16c52947640.json b/data/hfopenllm_v2/Daemontatox/PathFinderAI2.0/274ab6b9-5fd7-41df-9076-b16c52947640.json
deleted file mode 100644
index 8d0cf6b57..000000000
--- a/data/hfopenllm_v2/Daemontatox/PathFinderAI2.0/274ab6b9-5fd7-41df-9076-b16c52947640.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Daemontatox_PathFinderAI2.0/1762652579.528686",
-  "retrieved_timestamp": "1762652579.528686",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Daemontatox/PathFinderAI2.0",
-    "developer": "Daemontatox",
-    "inference_platform": "unknown",
-    "id": "Daemontatox/PathFinderAI2.0",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 32.764
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.45410178326839457
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.665823006477417
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5075528700906344
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30201342281879195
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4215625
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5546875
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Daemontatox/PathFinderAI2.0/bb103828-70fe-4767-9302-6750d839129e.json b/data/hfopenllm_v2/Daemontatox/PathFinderAI2.0/bb103828-70fe-4767-9302-6750d839129e.json
new file mode 100644
index 000000000..32487f192
--- /dev/null
+++ b/data/hfopenllm_v2/Daemontatox/PathFinderAI2.0/bb103828-70fe-4767-9302-6750d839129e.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Daemontatox_PathFinderAI2.0/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "PathFinderAI2.0",
+    "id": "Daemontatox/PathFinderAI2.0",
+    "developer": "Daemontatox",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 32.764
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4541
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6658
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5076
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.302
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4216
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5547
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Daemontatox/PathFinderAi3.0/7b58ab54-239b-4e49-93f1-c3940df61474.json b/data/hfopenllm_v2/Daemontatox/PathFinderAi3.0/7b58ab54-239b-4e49-93f1-c3940df61474.json
new file mode 100644
index 000000000..1fd11dd1d
--- /dev/null
+++ b/data/hfopenllm_v2/Daemontatox/PathFinderAi3.0/7b58ab54-239b-4e49-93f1-c3940df61474.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Daemontatox_PathFinderAi3.0/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "PathFinderAi3.0",
+    "id": "Daemontatox/PathFinderAi3.0",
+    "developer": "Daemontatox",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 32.764
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4271
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6884
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5045
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4086
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4807
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5757
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Daemontatox/PathFinderAi3.0/ba3924c6-f913-4094-a56a-1699f07f103c.json b/data/hfopenllm_v2/Daemontatox/PathFinderAi3.0/ba3924c6-f913-4094-a56a-1699f07f103c.json
deleted file mode 100644
index b32b14169..000000000
--- a/data/hfopenllm_v2/Daemontatox/PathFinderAi3.0/ba3924c6-f913-4094-a56a-1699f07f103c.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Daemontatox_PathFinderAi3.0/1762652579.5289202",
-  "retrieved_timestamp": "1762652579.5289202",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Daemontatox/PathFinderAi3.0",
-    "developer": "Daemontatox",
-    "inference_platform": "unknown",
-    "id": "Daemontatox/PathFinderAi3.0",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 32.764
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42709898624538445
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6884221416328996
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5045317220543807
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4085570469798658
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4806875
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5757147606382979
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Daemontatox/PathfinderAI/445f2c79-2c47-465c-ace7-73b3fa491454.json b/data/hfopenllm_v2/Daemontatox/PathfinderAI/445f2c79-2c47-465c-ace7-73b3fa491454.json
deleted file mode 100644
index 29e2bb12a..000000000
--- a/data/hfopenllm_v2/Daemontatox/PathfinderAI/445f2c79-2c47-465c-ace7-73b3fa491454.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Daemontatox_PathfinderAI/1762652579.529176",
-  "retrieved_timestamp": "1762652579.5291772",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Daemontatox/PathfinderAI",
-    "developer": "Daemontatox",
-    "inference_platform": "unknown",
-    "id": "Daemontatox/PathfinderAI",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 32.764
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37451739163198094
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6667854331232542
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.47583081570996977
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.39429530201342283
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.48583333333333334
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.559341755319149
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Daemontatox/PathfinderAI/559067a2-816c-4091-893e-b1c7860171ec.json b/data/hfopenllm_v2/Daemontatox/PathfinderAI/559067a2-816c-4091-893e-b1c7860171ec.json
new file mode 100644
index 000000000..a2410c22f
--- /dev/null
+++ b/data/hfopenllm_v2/Daemontatox/PathfinderAI/559067a2-816c-4091-893e-b1c7860171ec.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Daemontatox_PathfinderAI/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "PathfinderAI",
+    "id": "Daemontatox/PathfinderAI",
+    "developer": "Daemontatox",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 32.764
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4855
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6627
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4841
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3096
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4256
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5542
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Daemontatox/PathfinderAI/c07f2943-f3f4-46be-993e-be56dadcb561.json b/data/hfopenllm_v2/Daemontatox/PathfinderAI/c07f2943-f3f4-46be-993e-be56dadcb561.json
deleted file mode 100644
index af2587e02..000000000
--- a/data/hfopenllm_v2/Daemontatox/PathfinderAI/c07f2943-f3f4-46be-993e-be56dadcb561.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Daemontatox_PathfinderAI/1762652579.5294342",
-  "retrieved_timestamp": "1762652579.529435",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Daemontatox/PathfinderAI",
-    "developer": "Daemontatox",
-    "inference_platform": "unknown",
-    "id": "Daemontatox/PathfinderAI",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 32.764
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4855006937148987
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6627335380624046
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.48413897280966767
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30956375838926176
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42559375
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.554188829787234
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Daemontatox/PathfinderAI/ec502619-880b-4b7c-acfe-c43cf6514e3f.json b/data/hfopenllm_v2/Daemontatox/PathfinderAI/ec502619-880b-4b7c-acfe-c43cf6514e3f.json
new file mode 100644
index 000000000..02616b562
--- /dev/null
+++ b/data/hfopenllm_v2/Daemontatox/PathfinderAI/ec502619-880b-4b7c-acfe-c43cf6514e3f.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Daemontatox_PathfinderAI/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "PathfinderAI",
+    "id": "Daemontatox/PathfinderAI",
+    "developer": "Daemontatox",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 32.764
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3745
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6668
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4758
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3943
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4858
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5593
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Daemontatox/Phi-4-COT/6941a5dd-2a70-4846-a5f6-b16ef2d56a03.json b/data/hfopenllm_v2/Daemontatox/Phi-4-COT/6941a5dd-2a70-4846-a5f6-b16ef2d56a03.json
new file mode 100644
index 000000000..d40331320
--- /dev/null
+++ b/data/hfopenllm_v2/Daemontatox/Phi-4-COT/6941a5dd-2a70-4846-a5f6-b16ef2d56a03.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Daemontatox_Phi-4-COT/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Phi-4-COT",
+    "id": "Daemontatox/Phi-4-COT",
+    "developer": "Daemontatox",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 14.66
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1793
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6173
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2243
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3356
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.453
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5005
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Daemontatox/PixelParse_AI/29459932-a7a5-458f-9778-e236cc4ea985.json b/data/hfopenllm_v2/Daemontatox/PixelParse_AI/29459932-a7a5-458f-9778-e236cc4ea985.json
deleted file mode 100644
index be080ec8f..000000000
--- a/data/hfopenllm_v2/Daemontatox/PixelParse_AI/29459932-a7a5-458f-9778-e236cc4ea985.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Daemontatox_PixelParse_AI/1762652579.529871",
-  "retrieved_timestamp": "1762652579.529872",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
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diff --git a/data/hfopenllm_v2/Daemontatox/PixelParse_AI/636e2f93-3242-491c-9df5-003aa1dacecf.json b/data/hfopenllm_v2/Daemontatox/PixelParse_AI/636e2f93-3242-491c-9df5-003aa1dacecf.json
new file mode 100644
index 000000000..c6518eaf3
--- /dev/null
+++ b/data/hfopenllm_v2/Daemontatox/PixelParse_AI/636e2f93-3242-491c-9df5-003aa1dacecf.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Daemontatox_PixelParse_AI/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "PixelParse_AI",
+    "id": "Daemontatox/PixelParse_AI",
+    "developer": "Daemontatox",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MllamaForConditionalGeneration",
+      "params_billions": 10.67
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4383
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5034
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+        "score": 0.1473
+      }
+    },
+    {
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+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
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+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4052
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3778
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Daemontatox/RA2.0/1f4efa23-816d-49be-8659-feb003f4b3ef.json b/data/hfopenllm_v2/Daemontatox/RA2.0/1f4efa23-816d-49be-8659-feb003f4b3ef.json
new file mode 100644
index 000000000..cdbe9004f
--- /dev/null
+++ b/data/hfopenllm_v2/Daemontatox/RA2.0/1f4efa23-816d-49be-8659-feb003f4b3ef.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Daemontatox_RA2.0/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "RA2.0",
+    "id": "Daemontatox/RA2.0",
+    "developer": "Daemontatox",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3784
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4889
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3837
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3054
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4091
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2616
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Daemontatox/RA2.0/3baf9882-5625-47eb-a88b-b172dfc9a330.json b/data/hfopenllm_v2/Daemontatox/RA2.0/3baf9882-5625-47eb-a88b-b172dfc9a330.json
deleted file mode 100644
index ec61fff2c..000000000
--- a/data/hfopenllm_v2/Daemontatox/RA2.0/3baf9882-5625-47eb-a88b-b172dfc9a330.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/Daemontatox_RA2.0/1762652579.53008",
-  "retrieved_timestamp": "1762652579.530081",
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Daemontatox/RA2.0",
-    "developer": "Daemontatox",
-    "inference_platform": "unknown",
-    "id": "Daemontatox/RA2.0",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.616
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      },
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-        "score_type": "continuous",
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-        "max_score": 1
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-      "score_details": {
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-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Daemontatox/RA_Reasoner/ab74d5ca-6c80-44de-96e9-af61861090b6.json b/data/hfopenllm_v2/Daemontatox/RA_Reasoner/ab74d5ca-6c80-44de-96e9-af61861090b6.json
deleted file mode 100644
index 192552964..000000000
--- a/data/hfopenllm_v2/Daemontatox/RA_Reasoner/ab74d5ca-6c80-44de-96e9-af61861090b6.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Daemontatox_RA_Reasoner/1762652579.530283",
-  "retrieved_timestamp": "1762652579.530284",
-  "source_data": [
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
-    "name": "Daemontatox/RA_Reasoner",
-    "developer": "Daemontatox",
-    "inference_platform": "unknown",
-    "id": "Daemontatox/RA_Reasoner",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
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-  },
-  "evaluation_results": [
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.43001994680851063
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Daemontatox/RA_Reasoner/d05be1e4-bcac-4b4a-bbde-8b17a5a71243.json b/data/hfopenllm_v2/Daemontatox/RA_Reasoner/d05be1e4-bcac-4b4a-bbde-8b17a5a71243.json
new file mode 100644
index 000000000..01700c90a
--- /dev/null
+++ b/data/hfopenllm_v2/Daemontatox/RA_Reasoner/d05be1e4-bcac-4b4a-bbde-8b17a5a71243.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Daemontatox_RA_Reasoner/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "RA_Reasoner",
+    "id": "Daemontatox/RA_Reasoner",
+    "developer": "Daemontatox",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 10.306
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+    },
+    {
+      "evaluation_name": "BBH",
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+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+      "score_details": {
+        "score": 0.6054
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+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+        "score": 0.2122
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+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3314
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3964
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.43
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Daemontatox/RA_Reasoner2.0/5cf9872a-6d67-4b42-bfe4-abad05bdd9cf.json b/data/hfopenllm_v2/Daemontatox/RA_Reasoner2.0/5cf9872a-6d67-4b42-bfe4-abad05bdd9cf.json
deleted file mode 100644
index 7945bf89a..000000000
--- a/data/hfopenllm_v2/Daemontatox/RA_Reasoner2.0/5cf9872a-6d67-4b42-bfe4-abad05bdd9cf.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Daemontatox_RA_Reasoner2.0/1762652579.530484",
-  "retrieved_timestamp": "1762652579.530485",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Daemontatox/RA_Reasoner2.0",
-    "developer": "Daemontatox",
-    "inference_platform": "unknown",
-    "id": "Daemontatox/RA_Reasoner2.0",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 10.306
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5366339091388627
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6062469551969276
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2311178247734139
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.32466442953020136
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3883541666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4353390957446808
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Daemontatox/RA_Reasoner2.0/9ab53055-86f5-4a88-976f-015dd9c9e832.json b/data/hfopenllm_v2/Daemontatox/RA_Reasoner2.0/9ab53055-86f5-4a88-976f-015dd9c9e832.json
new file mode 100644
index 000000000..beab11efc
--- /dev/null
+++ b/data/hfopenllm_v2/Daemontatox/RA_Reasoner2.0/9ab53055-86f5-4a88-976f-015dd9c9e832.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Daemontatox_RA_Reasoner2.0/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "RA_Reasoner2.0",
+    "id": "Daemontatox/RA_Reasoner2.0",
+    "developer": "Daemontatox",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 10.306
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5366
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6062
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2311
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3247
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3884
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4353
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Daemontatox/ReasonTest/39d481bf-ea86-42a7-a6f1-ce38ce9dce30.json b/data/hfopenllm_v2/Daemontatox/ReasonTest/39d481bf-ea86-42a7-a6f1-ce38ce9dce30.json
deleted file mode 100644
index 8a1acb2b6..000000000
--- a/data/hfopenllm_v2/Daemontatox/ReasonTest/39d481bf-ea86-42a7-a6f1-ce38ce9dce30.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Daemontatox_ReasonTest/1762652579.530685",
-  "retrieved_timestamp": "1762652579.530686",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Daemontatox/ReasonTest",
-    "developer": "Daemontatox",
-    "inference_platform": "unknown",
-    "id": "Daemontatox/ReasonTest",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 3.808
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4079653098223824
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.543526397621609
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.21374622356495468
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3187919463087248
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.43154166666666666
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4271941489361702
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Daemontatox/ReasonTest/ba34083a-9b13-46d9-8f36-aa3ddd586711.json b/data/hfopenllm_v2/Daemontatox/ReasonTest/ba34083a-9b13-46d9-8f36-aa3ddd586711.json
new file mode 100644
index 000000000..60c753137
--- /dev/null
+++ b/data/hfopenllm_v2/Daemontatox/ReasonTest/ba34083a-9b13-46d9-8f36-aa3ddd586711.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Daemontatox_ReasonTest/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "ReasonTest",
+    "id": "Daemontatox/ReasonTest",
+    "developer": "Daemontatox",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 3.808
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.408
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5435
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2137
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3188
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4315
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4272
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Daemontatox/Research_PathfinderAI/6a39d734-ad73-4c4a-9583-3563e336d4b3.json b/data/hfopenllm_v2/Daemontatox/Research_PathfinderAI/6a39d734-ad73-4c4a-9583-3563e336d4b3.json
new file mode 100644
index 000000000..fbb52784d
--- /dev/null
+++ b/data/hfopenllm_v2/Daemontatox/Research_PathfinderAI/6a39d734-ad73-4c4a-9583-3563e336d4b3.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Daemontatox_Research_PathfinderAI/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Research_PathfinderAI",
+    "id": "Daemontatox/Research_PathfinderAI",
+    "developer": "Daemontatox",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 1.777
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3457
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2872
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1699
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2408
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3394
+      }
+    },
+    {
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+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Daemontatox/Research_PathfinderAI/900e5686-083d-460c-918f-06a39936810c.json b/data/hfopenllm_v2/Daemontatox/Research_PathfinderAI/900e5686-083d-460c-918f-06a39936810c.json
deleted file mode 100644
index e380d3a77..000000000
--- a/data/hfopenllm_v2/Daemontatox/Research_PathfinderAI/900e5686-083d-460c-918f-06a39936810c.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/Daemontatox_Research_PathfinderAI/1762652579.530894",
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-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
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-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Daemontatox/Research_PathfinderAI",
-    "developer": "Daemontatox",
-    "inference_platform": "unknown",
-    "id": "Daemontatox/Research_PathfinderAI",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 1.777
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-  },
-  "evaluation_results": [
-    {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-        "score_type": "continuous",
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-      "metric_config": {
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-        "score_type": "continuous",
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-        "lower_is_better": false,
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-    {
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-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-}
diff --git a/data/hfopenllm_v2/Daemontatox/SphinX/2af71e88-4931-4359-b92a-c64fa33df802.json b/data/hfopenllm_v2/Daemontatox/SphinX/2af71e88-4931-4359-b92a-c64fa33df802.json
new file mode 100644
index 000000000..4195d2bc9
--- /dev/null
+++ b/data/hfopenllm_v2/Daemontatox/SphinX/2af71e88-4931-4359-b92a-c64fa33df802.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Daemontatox_SphinX/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "SphinX",
+    "id": "Daemontatox/SphinX",
+    "developer": "Daemontatox",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5725
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5441
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+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2978
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4405
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+    },
+    {
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+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4366
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Daemontatox/Sphinx2.0/bf9336a7-a7c4-420a-9dd0-68d8e0c815c4.json b/data/hfopenllm_v2/Daemontatox/Sphinx2.0/bf9336a7-a7c4-420a-9dd0-68d8e0c815c4.json
new file mode 100644
index 000000000..ab374a609
--- /dev/null
+++ b/data/hfopenllm_v2/Daemontatox/Sphinx2.0/bf9336a7-a7c4-420a-9dd0-68d8e0c815c4.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Daemontatox_Sphinx2.0/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Sphinx2.0",
+    "id": "Daemontatox/Sphinx2.0",
+    "developer": "Daemontatox",
+    "inference_platform": "unknown",
+    "additional_details": {
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+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.77
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+      }
+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6473
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
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+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+      "score_details": {
+        "score": 0.2936
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+    },
+    {
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+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.426
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
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+        "max_score": 1.0
+      },
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+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Daemontatox/TinySphinx/2de872b2-10c7-44dd-91c3-f20205207da6.json b/data/hfopenllm_v2/Daemontatox/TinySphinx/2de872b2-10c7-44dd-91c3-f20205207da6.json
new file mode 100644
index 000000000..8e4831568
--- /dev/null
+++ b/data/hfopenllm_v2/Daemontatox/TinySphinx/2de872b2-10c7-44dd-91c3-f20205207da6.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Daemontatox_TinySphinx/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "TinySphinx",
+    "id": "Daemontatox/TinySphinx",
+    "developer": "Daemontatox",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 0.247
+    }
+  },
+  "evaluation_results": [
+    {
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+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
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+        "lower_is_better": false,
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+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+      }
+    },
+    {
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+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+    },
+    {
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+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+        "score": 0.1698
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Daemontatox/TinySphinx2.0/5cabed09-d8ea-46c2-bb78-012dac954d6b.json b/data/hfopenllm_v2/Daemontatox/TinySphinx2.0/5cabed09-d8ea-46c2-bb78-012dac954d6b.json
new file mode 100644
index 000000000..7a83a9405
--- /dev/null
+++ b/data/hfopenllm_v2/Daemontatox/TinySphinx2.0/5cabed09-d8ea-46c2-bb78-012dac954d6b.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Daemontatox_TinySphinx2.0/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "TinySphinx2.0",
+    "id": "Daemontatox/TinySphinx2.0",
+    "developer": "Daemontatox",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 0.247
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3168
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
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+    {
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+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2685
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3382
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1731
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Daemontatox/Zirel-7B-Math/460de6c8-d706-420b-9c0a-a108ddb11e5f.json b/data/hfopenllm_v2/Daemontatox/Zirel-7B-Math/460de6c8-d706-420b-9c0a-a108ddb11e5f.json
deleted file mode 100644
index 32f1fd780..000000000
--- a/data/hfopenllm_v2/Daemontatox/Zirel-7B-Math/460de6c8-d706-420b-9c0a-a108ddb11e5f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Daemontatox_Zirel-7B-Math/1762652579.531958",
-  "retrieved_timestamp": "1762652579.531959",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Daemontatox/Zirel-7B-Math",
-    "developer": "Daemontatox",
-    "inference_platform": "unknown",
-    "id": "Daemontatox/Zirel-7B-Math",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.616
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5447698777469486
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.19788519637462235
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3263422818791946
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.47891666666666666
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4237034574468085
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Daemontatox/Zirel-7B-Math/8236db6a-ff8a-4237-af5a-03bb258f8e59.json b/data/hfopenllm_v2/Daemontatox/Zirel-7B-Math/8236db6a-ff8a-4237-af5a-03bb258f8e59.json
new file mode 100644
index 000000000..00c47b014
--- /dev/null
+++ b/data/hfopenllm_v2/Daemontatox/Zirel-7B-Math/8236db6a-ff8a-4237-af5a-03bb258f8e59.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Daemontatox_Zirel-7B-Math/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Zirel-7B-Math",
+    "id": "Daemontatox/Zirel-7B-Math",
+    "developer": "Daemontatox",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6639
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5448
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1979
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3263
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4789
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4237
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Daemontatox/Zirel_1.5/1a7b078e-bc1f-400f-a0cd-f7b535548f23.json b/data/hfopenllm_v2/Daemontatox/Zirel_1.5/1a7b078e-bc1f-400f-a0cd-f7b535548f23.json
new file mode 100644
index 000000000..160e661a4
--- /dev/null
+++ b/data/hfopenllm_v2/Daemontatox/Zirel_1.5/1a7b078e-bc1f-400f-a0cd-f7b535548f23.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Daemontatox_Zirel_1.5/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Zirel_1.5",
+    "id": "Daemontatox/Zirel_1.5",
+    "developer": "Daemontatox",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 1.544
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4168
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3985
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1133
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2601
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3658
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2143
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Daemontatox/Zirel_1.5/661e2393-2560-4d25-a6f3-f0d680052e8e.json b/data/hfopenllm_v2/Daemontatox/Zirel_1.5/661e2393-2560-4d25-a6f3-f0d680052e8e.json
deleted file mode 100644
index bdd8ccb5c..000000000
--- a/data/hfopenllm_v2/Daemontatox/Zirel_1.5/661e2393-2560-4d25-a6f3-f0d680052e8e.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Daemontatox_Zirel_1.5/1762652579.532257",
-  "retrieved_timestamp": "1762652579.532258",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Daemontatox/Zirel_1.5",
-    "developer": "Daemontatox",
-    "inference_platform": "unknown",
-    "id": "Daemontatox/Zirel_1.5",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 1.544
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4167575366693706
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-    },
-    {
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-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11329305135951662
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-    },
-    {
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-        "lower_is_better": false,
-        "score_type": "continuous",
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-        "max_score": 1
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.36581250000000004
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.21434507978723405
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Daemontatox/mini-Cogito-R1/faac8ed1-1042-42dc-9762-3f90161fb34f.json b/data/hfopenllm_v2/Daemontatox/mini-Cogito-R1/faac8ed1-1042-42dc-9762-3f90161fb34f.json
deleted file mode 100644
index a790dd843..000000000
--- a/data/hfopenllm_v2/Daemontatox/mini-Cogito-R1/faac8ed1-1042-42dc-9762-3f90161fb34f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Daemontatox_mini-Cogito-R1/1762652579.532486",
-  "retrieved_timestamp": "1762652579.532487",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Daemontatox/mini-Cogito-R1",
-    "developer": "Daemontatox",
-    "inference_platform": "unknown",
-    "id": "Daemontatox/mini-Cogito-R1",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 1.777
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
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-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.27492447129909364
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.28691275167785235
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.14818816489361702
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-  ]
-}
diff --git a/data/hfopenllm_v2/Daemontatox/mini-Cogito-R1/fdaf561c-567c-416d-a74a-ac3c07c5be5b.json b/data/hfopenllm_v2/Daemontatox/mini-Cogito-R1/fdaf561c-567c-416d-a74a-ac3c07c5be5b.json
new file mode 100644
index 000000000..a9a68a873
--- /dev/null
+++ b/data/hfopenllm_v2/Daemontatox/mini-Cogito-R1/fdaf561c-567c-416d-a74a-ac3c07c5be5b.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Daemontatox_mini-Cogito-R1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "mini-Cogito-R1",
+    "id": "Daemontatox/mini-Cogito-R1",
+    "developer": "Daemontatox",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 1.777
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2298
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.328
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2749
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2869
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3447
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1482
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Daemontatox/mini_Pathfinder/58900b3b-303b-49c8-b807-7b8d06601568.json b/data/hfopenllm_v2/Daemontatox/mini_Pathfinder/58900b3b-303b-49c8-b807-7b8d06601568.json
new file mode 100644
index 000000000..08611e986
--- /dev/null
+++ b/data/hfopenllm_v2/Daemontatox/mini_Pathfinder/58900b3b-303b-49c8-b807-7b8d06601568.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Daemontatox_mini_Pathfinder/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "mini_Pathfinder",
+    "id": "Daemontatox/mini_Pathfinder",
+    "developer": "Daemontatox",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2962
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3956
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4751
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2584
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3781
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2809
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Daemontatox/mini_Pathfinder/a9afd0b3-8189-47e0-9e33-d60540679e20.json b/data/hfopenllm_v2/Daemontatox/mini_Pathfinder/a9afd0b3-8189-47e0-9e33-d60540679e20.json
deleted file mode 100644
index d46b915da..000000000
--- a/data/hfopenllm_v2/Daemontatox/mini_Pathfinder/a9afd0b3-8189-47e0-9e33-d60540679e20.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Daemontatox_mini_Pathfinder/1762652579.53272",
-  "retrieved_timestamp": "1762652579.5327208",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Daemontatox/mini_Pathfinder",
-    "developer": "Daemontatox",
-    "inference_platform": "unknown",
-    "id": "Daemontatox/mini_Pathfinder",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.616
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.29615752869054107
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.39556911910803755
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.47507552870090636
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.25838926174496646
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37809374999999995
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.28091755319148937
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Dampfinchen/Llama-3.1-8B-Ultra-Instruct/2a0d23aa-47ae-4974-ac64-5371097a1b0f.json b/data/hfopenllm_v2/Dampfinchen/Llama-3.1-8B-Ultra-Instruct/2a0d23aa-47ae-4974-ac64-5371097a1b0f.json
deleted file mode 100644
index 90bf7e482..000000000
--- a/data/hfopenllm_v2/Dampfinchen/Llama-3.1-8B-Ultra-Instruct/2a0d23aa-47ae-4974-ac64-5371097a1b0f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Dampfinchen_Llama-3.1-8B-Ultra-Instruct/1762652579.532935",
-  "retrieved_timestamp": "1762652579.532935",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Dampfinchen/Llama-3.1-8B-Ultra-Instruct",
-    "developer": "Dampfinchen",
-    "inference_platform": "unknown",
-    "id": "Dampfinchen/Llama-3.1-8B-Ultra-Instruct",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.8081091503876381
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5257532452246574
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
-        "score": 0.22054380664652568
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-    },
-    {
-      "evaluation_name": "GPQA",
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-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.29194630872483224
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.40032291666666664
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.382563164893617
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Dampfinchen/Llama-3.1-8B-Ultra-Instruct/7ac5a45a-7b41-4f63-8556-8737638a00ea.json b/data/hfopenllm_v2/Dampfinchen/Llama-3.1-8B-Ultra-Instruct/7ac5a45a-7b41-4f63-8556-8737638a00ea.json
new file mode 100644
index 000000000..d6ac101ed
--- /dev/null
+++ b/data/hfopenllm_v2/Dampfinchen/Llama-3.1-8B-Ultra-Instruct/7ac5a45a-7b41-4f63-8556-8737638a00ea.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Dampfinchen_Llama-3.1-8B-Ultra-Instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-3.1-8B-Ultra-Instruct",
+    "id": "Dampfinchen/Llama-3.1-8B-Ultra-Instruct",
+    "developer": "Dampfinchen",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.8081
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5258
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2205
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2919
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4003
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3826
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Danielbrdz/Barcenas-10b/3cb55475-30c8-43c8-8d7d-394450fdc117.json b/data/hfopenllm_v2/Danielbrdz/Barcenas-10b/3cb55475-30c8-43c8-8d7d-394450fdc117.json
new file mode 100644
index 000000000..104efe008
--- /dev/null
+++ b/data/hfopenllm_v2/Danielbrdz/Barcenas-10b/3cb55475-30c8-43c8-8d7d-394450fdc117.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Danielbrdz_Barcenas-10b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Barcenas-10b",
+    "id": "Danielbrdz/Barcenas-10b",
+    "developer": "Danielbrdz",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 10.306
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Danielbrdz/Barcenas-10b/acdaefdc-b28c-4081-bf72-517d6c70595e.json b/data/hfopenllm_v2/Danielbrdz/Barcenas-10b/acdaefdc-b28c-4081-bf72-517d6c70595e.json
deleted file mode 100644
index 90fd01bbe..000000000
--- a/data/hfopenllm_v2/Danielbrdz/Barcenas-10b/acdaefdc-b28c-4081-bf72-517d6c70595e.json
+++ /dev/null
@@ -1,105 +0,0 @@
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-    "source_type": "documentation"
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-    "developer": "Danielbrdz",
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-    "id": "Danielbrdz/Barcenas-10b",
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diff --git a/data/hfopenllm_v2/Danielbrdz/Barcenas-14b-Phi-3-medium-ORPO/f5e140ff-0c0e-4769-8116-63cf50255773.json b/data/hfopenllm_v2/Danielbrdz/Barcenas-14b-Phi-3-medium-ORPO/f5e140ff-0c0e-4769-8116-63cf50255773.json
new file mode 100644
index 000000000..4dc6150c8
--- /dev/null
+++ b/data/hfopenllm_v2/Danielbrdz/Barcenas-14b-Phi-3-medium-ORPO/f5e140ff-0c0e-4769-8116-63cf50255773.json
@@ -0,0 +1,132 @@
+{
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+  "source_metadata": {
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+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
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+    "id": "Danielbrdz/Barcenas-14b-Phi-3-medium-ORPO",
+    "developer": "Danielbrdz",
+    "inference_platform": "unknown",
+    "additional_details": {
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+        "hf_repo": "SaylorTwift/bbh"
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+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
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+        "hf_repo": "TAUR-Lab/MuSR"
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+        "hf_repo": "TIGER-Lab/MMLU-Pro"
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Danielbrdz/Barcenas-14b-phi-4-v2/df85ec6e-1325-40ce-8087-d960a1d767dd.json b/data/hfopenllm_v2/Danielbrdz/Barcenas-14b-phi-4-v2/df85ec6e-1325-40ce-8087-d960a1d767dd.json
new file mode 100644
index 000000000..604f4b71a
--- /dev/null
+++ b/data/hfopenllm_v2/Danielbrdz/Barcenas-14b-phi-4-v2/df85ec6e-1325-40ce-8087-d960a1d767dd.json
@@ -0,0 +1,132 @@
+{
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+  "source_metadata": {
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+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
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+    "developer": "Danielbrdz",
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+        "lower_is_better": false,
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+        "max_score": 1.0
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+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
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+        "hf_repo": "TAUR-Lab/MuSR"
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+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
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+        "max_score": 1.0
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Danielbrdz/Barcenas-14b-phi-4/a7bd3fff-f01e-46ca-af85-5b4ac6ae7320.json b/data/hfopenllm_v2/Danielbrdz/Barcenas-14b-phi-4/a7bd3fff-f01e-46ca-af85-5b4ac6ae7320.json
new file mode 100644
index 000000000..e976af74e
--- /dev/null
+++ b/data/hfopenllm_v2/Danielbrdz/Barcenas-14b-phi-4/a7bd3fff-f01e-46ca-af85-5b4ac6ae7320.json
@@ -0,0 +1,132 @@
+{
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+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
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+  "model_info": {
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+    "id": "Danielbrdz/Barcenas-14b-phi-4",
+    "developer": "Danielbrdz",
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
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+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
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+        "min_score": 0.0,
+        "max_score": 1.0
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+        "evaluation_description": "Exact Match on MATH Level 5",
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+        "hf_repo": "TAUR-Lab/MuSR"
+      },
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+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
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+    {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
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+        "max_score": 1.0
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+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Danielbrdz/Barcenas-3b-GRPO/11842dd9-0572-41ef-aaa0-8d19f3420efc.json b/data/hfopenllm_v2/Danielbrdz/Barcenas-3b-GRPO/11842dd9-0572-41ef-aaa0-8d19f3420efc.json
new file mode 100644
index 000000000..85744ceae
--- /dev/null
+++ b/data/hfopenllm_v2/Danielbrdz/Barcenas-3b-GRPO/11842dd9-0572-41ef-aaa0-8d19f3420efc.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Danielbrdz_Barcenas-3b-GRPO/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Barcenas-3b-GRPO",
+    "id": "Danielbrdz/Barcenas-3b-GRPO",
+    "developer": "Danielbrdz",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 3.213
+    }
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+  "evaluation_results": [
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5444
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4414
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1375
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2903
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3576
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3037
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Danielbrdz/Barcenas-3b-GRPO/88a3b40a-3ba2-4f13-bd8c-110872d807c7.json b/data/hfopenllm_v2/Danielbrdz/Barcenas-3b-GRPO/88a3b40a-3ba2-4f13-bd8c-110872d807c7.json
deleted file mode 100644
index 80452a47d..000000000
--- a/data/hfopenllm_v2/Danielbrdz/Barcenas-3b-GRPO/88a3b40a-3ba2-4f13-bd8c-110872d807c7.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Danielbrdz_Barcenas-3b-GRPO/1762652579.534181",
-  "retrieved_timestamp": "1762652579.5341818",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Danielbrdz/Barcenas-3b-GRPO",
-    "developer": "Danielbrdz",
-    "inference_platform": "unknown",
-    "id": "Danielbrdz/Barcenas-3b-GRPO",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 3.213
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5444276741268723
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.44143515175110304
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.13746223564954682
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2902684563758389
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.35759375
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3036901595744681
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Danielbrdz/Barcenas-Llama3-8b-ORPO/01abccec-1cea-4060-89be-289987d0a2ce.json b/data/hfopenllm_v2/Danielbrdz/Barcenas-Llama3-8b-ORPO/01abccec-1cea-4060-89be-289987d0a2ce.json
new file mode 100644
index 000000000..a208f17df
--- /dev/null
+++ b/data/hfopenllm_v2/Danielbrdz/Barcenas-Llama3-8b-ORPO/01abccec-1cea-4060-89be-289987d0a2ce.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Danielbrdz_Barcenas-Llama3-8b-ORPO/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Barcenas-Llama3-8b-ORPO",
+    "id": "Danielbrdz/Barcenas-Llama3-8b-ORPO",
+    "developer": "Danielbrdz",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7372
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4987
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0657
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.307
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.419
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.383
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Danielbrdz/Barcenas-R1-Qwen-1.5b/dce8226c-57bd-4255-b813-8a70494f0a1a.json b/data/hfopenllm_v2/Danielbrdz/Barcenas-R1-Qwen-1.5b/dce8226c-57bd-4255-b813-8a70494f0a1a.json
new file mode 100644
index 000000000..03948309d
--- /dev/null
+++ b/data/hfopenllm_v2/Danielbrdz/Barcenas-R1-Qwen-1.5b/dce8226c-57bd-4255-b813-8a70494f0a1a.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Danielbrdz_Barcenas-R1-Qwen-1.5b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Barcenas-R1-Qwen-1.5b",
+    "id": "Danielbrdz/Barcenas-R1-Qwen-1.5b",
+    "developer": "Danielbrdz",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 1.777
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2428
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3587
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3497
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3037
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3541
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1909
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Dans-DiscountModels/12b-mn-dans-reasoning-test-2/7f80e69c-eec6-49ac-a088-6248ee25f736.json b/data/hfopenllm_v2/Dans-DiscountModels/12b-mn-dans-reasoning-test-2/7f80e69c-eec6-49ac-a088-6248ee25f736.json
new file mode 100644
index 000000000..f352222ea
--- /dev/null
+++ b/data/hfopenllm_v2/Dans-DiscountModels/12b-mn-dans-reasoning-test-2/7f80e69c-eec6-49ac-a088-6248ee25f736.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Dans-DiscountModels_12b-mn-dans-reasoning-test-2/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "12b-mn-dans-reasoning-test-2",
+    "id": "Dans-DiscountModels/12b-mn-dans-reasoning-test-2",
+    "developer": "Dans-DiscountModels",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 12.248
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3711
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4807
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0634
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2735
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3702
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2507
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Dans-DiscountModels/12b-mn-dans-reasoning-test-2/bd21f54f-6b0c-4db9-bb46-7a4c60f960ae.json b/data/hfopenllm_v2/Dans-DiscountModels/12b-mn-dans-reasoning-test-2/bd21f54f-6b0c-4db9-bb46-7a4c60f960ae.json
deleted file mode 100644
index 717cffeac..000000000
--- a/data/hfopenllm_v2/Dans-DiscountModels/12b-mn-dans-reasoning-test-2/bd21f54f-6b0c-4db9-bb46-7a4c60f960ae.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Dans-DiscountModels_12b-mn-dans-reasoning-test-2/1762652579.534956",
-  "retrieved_timestamp": "1762652579.5349572",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
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-        "lower_is_better": false,
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-        "lower_is_better": false,
-        "score_type": "continuous",
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-        "max_score": 1
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-      "evaluation_name": "MMLU-PRO",
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-        "lower_is_better": false,
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-        "min_score": 0,
-        "max_score": 1
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-    }
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-}
diff --git a/data/hfopenllm_v2/Dans-DiscountModels/12b-mn-dans-reasoning-test-3/c9dedad4-65d4-479e-b465-912cd8885e32.json b/data/hfopenllm_v2/Dans-DiscountModels/12b-mn-dans-reasoning-test-3/c9dedad4-65d4-479e-b465-912cd8885e32.json
deleted file mode 100644
index ae74b914c..000000000
--- a/data/hfopenllm_v2/Dans-DiscountModels/12b-mn-dans-reasoning-test-3/c9dedad4-65d4-479e-b465-912cd8885e32.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Dans-DiscountModels_12b-mn-dans-reasoning-test-3/1762652579.535208",
-  "retrieved_timestamp": "1762652579.535209",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Dans-DiscountModels/12b-mn-dans-reasoning-test-3",
-    "developer": "Dans-DiscountModels",
-    "inference_platform": "unknown",
-    "id": "Dans-DiscountModels/12b-mn-dans-reasoning-test-3",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 12.248
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5052593784491815
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.48388753289945696
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.07779456193353475
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2709731543624161
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4167604166666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2515791223404255
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Dans-DiscountModels/12b-mn-dans-reasoning-test-3/e0267a2c-dfc5-456e-864d-b5b0ad1fa508.json b/data/hfopenllm_v2/Dans-DiscountModels/12b-mn-dans-reasoning-test-3/e0267a2c-dfc5-456e-864d-b5b0ad1fa508.json
new file mode 100644
index 000000000..570947dbd
--- /dev/null
+++ b/data/hfopenllm_v2/Dans-DiscountModels/12b-mn-dans-reasoning-test-3/e0267a2c-dfc5-456e-864d-b5b0ad1fa508.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Dans-DiscountModels_12b-mn-dans-reasoning-test-3/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "12b-mn-dans-reasoning-test-3",
+    "id": "Dans-DiscountModels/12b-mn-dans-reasoning-test-3",
+    "developer": "Dans-DiscountModels",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 12.248
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5053
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4839
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0778
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.271
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4168
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2516
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Dans-DiscountModels/Dans-Instruct-CoreCurriculum-12b-ChatML/6b61018c-249d-482b-a787-06f1e6514f29.json b/data/hfopenllm_v2/Dans-DiscountModels/Dans-Instruct-CoreCurriculum-12b-ChatML/6b61018c-249d-482b-a787-06f1e6514f29.json
deleted file mode 100644
index ddb9080ca..000000000
--- a/data/hfopenllm_v2/Dans-DiscountModels/Dans-Instruct-CoreCurriculum-12b-ChatML/6b61018c-249d-482b-a787-06f1e6514f29.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Dans-DiscountModels_Dans-Instruct-CoreCurriculum-12b-ChatML/1762652579.535429",
-  "retrieved_timestamp": "1762652579.53543",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Dans-DiscountModels/Dans-Instruct-CoreCurriculum-12b-ChatML",
-    "developer": "Dans-DiscountModels",
-    "inference_platform": "unknown",
-    "id": "Dans-DiscountModels/Dans-Instruct-CoreCurriculum-12b-ChatML",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 12.248
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.21110209798889168
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4791864789096407
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.04305135951661632
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2802013422818792
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3606354166666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2805019946808511
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Dans-DiscountModels/Dans-Instruct-CoreCurriculum-12b-ChatML/e6ad37be-28f4-43b4-9df1-b7b47d31232e.json b/data/hfopenllm_v2/Dans-DiscountModels/Dans-Instruct-CoreCurriculum-12b-ChatML/e6ad37be-28f4-43b4-9df1-b7b47d31232e.json
new file mode 100644
index 000000000..fc2a36d87
--- /dev/null
+++ b/data/hfopenllm_v2/Dans-DiscountModels/Dans-Instruct-CoreCurriculum-12b-ChatML/e6ad37be-28f4-43b4-9df1-b7b47d31232e.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Dans-DiscountModels_Dans-Instruct-CoreCurriculum-12b-ChatML/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Dans-Instruct-CoreCurriculum-12b-ChatML",
+    "id": "Dans-DiscountModels/Dans-Instruct-CoreCurriculum-12b-ChatML",
+    "developer": "Dans-DiscountModels",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 12.248
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2111
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4792
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0431
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2802
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3606
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2805
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Dans-DiscountModels/Dans-Instruct-Mix-8b-ChatML-V0.1.0/5514368a-1f7d-4cd0-b7f7-d116b753f975.json b/data/hfopenllm_v2/Dans-DiscountModels/Dans-Instruct-Mix-8b-ChatML-V0.1.0/5514368a-1f7d-4cd0-b7f7-d116b753f975.json
new file mode 100644
index 000000000..83903ba4f
--- /dev/null
+++ b/data/hfopenllm_v2/Dans-DiscountModels/Dans-Instruct-Mix-8b-ChatML-V0.1.0/5514368a-1f7d-4cd0-b7f7-d116b753f975.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Dans-DiscountModels_Dans-Instruct-Mix-8b-ChatML-V0.1.0/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Dans-Instruct-Mix-8b-ChatML-V0.1.0",
+    "id": "Dans-DiscountModels/Dans-Instruct-Mix-8b-ChatML-V0.1.0",
+    "developer": "Dans-DiscountModels",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0668
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4775
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0672
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2861
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3786
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3284
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Dans-DiscountModels/Dans-Instruct-Mix-8b-ChatML-V0.1.0/9873b58d-1ffd-44a7-bb93-15038986419a.json b/data/hfopenllm_v2/Dans-DiscountModels/Dans-Instruct-Mix-8b-ChatML-V0.1.0/9873b58d-1ffd-44a7-bb93-15038986419a.json
deleted file mode 100644
index 08a1ef48f..000000000
--- a/data/hfopenllm_v2/Dans-DiscountModels/Dans-Instruct-Mix-8b-ChatML-V0.1.0/9873b58d-1ffd-44a7-bb93-15038986419a.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Dans-DiscountModels_Dans-Instruct-Mix-8b-ChatML-V0.1.0/1762652579.5358772",
-  "retrieved_timestamp": "1762652579.535878",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Dans-DiscountModels/Dans-Instruct-Mix-8b-ChatML-V0.1.0",
-    "developer": "Dans-DiscountModels",
-    "inference_platform": "unknown",
-    "id": "Dans-DiscountModels/Dans-Instruct-Mix-8b-ChatML-V0.1.0",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.06682048076880455
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.47747656219777285
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.06722054380664652
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2860738255033557
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3785833333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.328374335106383
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Dans-DiscountModels/Dans-Instruct-Mix-8b-ChatML-V0.1.1/71656625-cd85-49a6-a8df-abc0b9c0ae5d.json b/data/hfopenllm_v2/Dans-DiscountModels/Dans-Instruct-Mix-8b-ChatML-V0.1.1/71656625-cd85-49a6-a8df-abc0b9c0ae5d.json
deleted file mode 100644
index 9fb501141..000000000
--- a/data/hfopenllm_v2/Dans-DiscountModels/Dans-Instruct-Mix-8b-ChatML-V0.1.1/71656625-cd85-49a6-a8df-abc0b9c0ae5d.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Dans-DiscountModels_Dans-Instruct-Mix-8b-ChatML-V0.1.1/1762652579.5360918",
-  "retrieved_timestamp": "1762652579.5360918",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Dans-DiscountModels/Dans-Instruct-Mix-8b-ChatML-V0.1.1",
-    "developer": "Dans-DiscountModels",
-    "inference_platform": "unknown",
-    "id": "Dans-DiscountModels/Dans-Instruct-Mix-8b-ChatML-V0.1.1",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.09105063453857985
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4748653313732898
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.05966767371601209
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2911073825503356
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3824895833333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.327875664893617
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Dans-DiscountModels/Dans-Instruct-Mix-8b-ChatML-V0.1.1/c0e29cf8-897f-4e07-abb4-71c801d34301.json b/data/hfopenllm_v2/Dans-DiscountModels/Dans-Instruct-Mix-8b-ChatML-V0.1.1/c0e29cf8-897f-4e07-abb4-71c801d34301.json
new file mode 100644
index 000000000..4a453f833
--- /dev/null
+++ b/data/hfopenllm_v2/Dans-DiscountModels/Dans-Instruct-Mix-8b-ChatML-V0.1.1/c0e29cf8-897f-4e07-abb4-71c801d34301.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Dans-DiscountModels_Dans-Instruct-Mix-8b-ChatML-V0.1.1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Dans-Instruct-Mix-8b-ChatML-V0.1.1",
+    "id": "Dans-DiscountModels/Dans-Instruct-Mix-8b-ChatML-V0.1.1",
+    "developer": "Dans-DiscountModels",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0911
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4749
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0597
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2911
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3825
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3279
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Dans-DiscountModels/Dans-Instruct-Mix-8b-ChatML-V0.2.0/68310379-65b2-482d-892b-f76547bce2b0.json b/data/hfopenllm_v2/Dans-DiscountModels/Dans-Instruct-Mix-8b-ChatML-V0.2.0/68310379-65b2-482d-892b-f76547bce2b0.json
new file mode 100644
index 000000000..a2a7418c6
--- /dev/null
+++ b/data/hfopenllm_v2/Dans-DiscountModels/Dans-Instruct-Mix-8b-ChatML-V0.2.0/68310379-65b2-482d-892b-f76547bce2b0.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Dans-DiscountModels_Dans-Instruct-Mix-8b-ChatML-V0.2.0/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Dans-Instruct-Mix-8b-ChatML-V0.2.0",
+    "id": "Dans-DiscountModels/Dans-Instruct-Mix-8b-ChatML-V0.2.0",
+    "developer": "Dans-DiscountModels",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5064
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4624
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0733
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2936
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3644
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Dans-DiscountModels/Dans-Instruct-Mix-8b-ChatML-V0.2.0/d47dc284-0ed6-4853-8a54-b87b4b529150.json b/data/hfopenllm_v2/Dans-DiscountModels/Dans-Instruct-Mix-8b-ChatML-V0.2.0/d47dc284-0ed6-4853-8a54-b87b4b529150.json
deleted file mode 100644
index 1c42ecd18..000000000
--- a/data/hfopenllm_v2/Dans-DiscountModels/Dans-Instruct-Mix-8b-ChatML-V0.2.0/d47dc284-0ed6-4853-8a54-b87b4b529150.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Dans-DiscountModels_Dans-Instruct-Mix-8b-ChatML-V0.2.0/1762652579.536302",
-  "retrieved_timestamp": "1762652579.536303",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Dans-DiscountModels/Dans-Instruct-Mix-8b-ChatML-V0.2.0",
-    "developer": "Dans-DiscountModels",
-    "inference_platform": "unknown",
-    "id": "Dans-DiscountModels/Dans-Instruct-Mix-8b-ChatML-V0.2.0",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
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diff --git a/data/hfopenllm_v2/Dans-DiscountModels/Dans-Instruct-Mix-8b-ChatML/60db255b-d34c-4f33-91a4-279a9ccc6791.json b/data/hfopenllm_v2/Dans-DiscountModels/Dans-Instruct-Mix-8b-ChatML/60db255b-d34c-4f33-91a4-279a9ccc6791.json
deleted file mode 100644
index 5b5606802..000000000
--- a/data/hfopenllm_v2/Dans-DiscountModels/Dans-Instruct-Mix-8b-ChatML/60db255b-d34c-4f33-91a4-279a9ccc6791.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/Dans-DiscountModels_Dans-Instruct-Mix-8b-ChatML/1762652579.5356538",
-  "retrieved_timestamp": "1762652579.535655",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Dans-DiscountModels/Dans-Instruct-Mix-8b-ChatML",
-    "developer": "Dans-DiscountModels",
-    "inference_platform": "unknown",
-    "id": "Dans-DiscountModels/Dans-Instruct-Mix-8b-ChatML",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
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-        "score_type": "continuous",
-        "min_score": 0,
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-        "min_score": 0,
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-    {
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-        "lower_is_better": false,
-        "score_type": "continuous",
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-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
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-        "max_score": 1
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-}
diff --git a/data/hfopenllm_v2/Dans-DiscountModels/Dans-Instruct-Mix-8b-ChatML/a034c4ec-d4cd-439b-8dbd-e67685ea7616.json b/data/hfopenllm_v2/Dans-DiscountModels/Dans-Instruct-Mix-8b-ChatML/a034c4ec-d4cd-439b-8dbd-e67685ea7616.json
new file mode 100644
index 000000000..d03dd14df
--- /dev/null
+++ b/data/hfopenllm_v2/Dans-DiscountModels/Dans-Instruct-Mix-8b-ChatML/a034c4ec-d4cd-439b-8dbd-e67685ea7616.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Dans-DiscountModels_Dans-Instruct-Mix-8b-ChatML/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Dans-Instruct-Mix-8b-ChatML",
+    "id": "Dans-DiscountModels/Dans-Instruct-Mix-8b-ChatML",
+    "developer": "Dans-DiscountModels",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0825
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4738
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0551
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2945
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3918
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3288
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Dans-DiscountModels/Mistral-7b-v0.3-Test-E0.7/e4b761d3-bb84-4433-b9fb-4c92ecae6279.json b/data/hfopenllm_v2/Dans-DiscountModels/Mistral-7b-v0.3-Test-E0.7/e4b761d3-bb84-4433-b9fb-4c92ecae6279.json
new file mode 100644
index 000000000..17f92f2fb
--- /dev/null
+++ b/data/hfopenllm_v2/Dans-DiscountModels/Mistral-7b-v0.3-Test-E0.7/e4b761d3-bb84-4433-b9fb-4c92ecae6279.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Dans-DiscountModels_Mistral-7b-v0.3-Test-E0.7/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Mistral-7b-v0.3-Test-E0.7",
+    "id": "Dans-DiscountModels/Mistral-7b-v0.3-Test-E0.7",
+    "developer": "Dans-DiscountModels",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.0
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5124
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.475
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.034
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+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2961
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4005
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2744
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Dans-DiscountModels/mistral-7b-test-merged/38d78d30-be6d-476c-a3aa-d9a40f570a56.json b/data/hfopenllm_v2/Dans-DiscountModels/mistral-7b-test-merged/38d78d30-be6d-476c-a3aa-d9a40f570a56.json
new file mode 100644
index 000000000..530b81d04
--- /dev/null
+++ b/data/hfopenllm_v2/Dans-DiscountModels/mistral-7b-test-merged/38d78d30-be6d-476c-a3aa-d9a40f570a56.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Dans-DiscountModels_mistral-7b-test-merged/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "mistral-7b-test-merged",
+    "id": "Dans-DiscountModels/mistral-7b-test-merged",
+    "developer": "Dans-DiscountModels",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.0
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6678
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4898
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0446
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2945
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3754
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2978
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Darkknight535/OpenCrystal-12B-L3/36e60f6c-60f7-4b17-88fe-82810e195fc7.json b/data/hfopenllm_v2/Darkknight535/OpenCrystal-12B-L3/36e60f6c-60f7-4b17-88fe-82810e195fc7.json
new file mode 100644
index 000000000..62f99b5b5
--- /dev/null
+++ b/data/hfopenllm_v2/Darkknight535/OpenCrystal-12B-L3/36e60f6c-60f7-4b17-88fe-82810e195fc7.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Darkknight535_OpenCrystal-12B-L3/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "OpenCrystal-12B-L3",
+    "id": "Darkknight535/OpenCrystal-12B-L3",
+    "developer": "Darkknight535",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 11.52
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4071
+      }
+    },
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+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
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+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
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+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3062
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.364
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Darkknight535/OpenCrystal-12B-L3/8edb0a0d-994b-4b97-b9a7-7f46ba0e7365.json b/data/hfopenllm_v2/Darkknight535/OpenCrystal-12B-L3/8edb0a0d-994b-4b97-b9a7-7f46ba0e7365.json
deleted file mode 100644
index 0c6d391c4..000000000
--- a/data/hfopenllm_v2/Darkknight535/OpenCrystal-12B-L3/8edb0a0d-994b-4b97-b9a7-7f46ba0e7365.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/Darkknight535_OpenCrystal-12B-L3/1762652579.5369642",
-  "retrieved_timestamp": "1762652579.5369651",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Darkknight535/OpenCrystal-12B-L3",
-    "developer": "Darkknight535",
-    "inference_platform": "unknown",
-    "id": "Darkknight535/OpenCrystal-12B-L3",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 11.52
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
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-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
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-        "min_score": 0,
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-      "score_details": {
-        "score": 0.4070909630890482
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-    },
-    {
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-        "lower_is_better": false,
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-        "min_score": 0,
-        "max_score": 1
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-    {
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-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-        "score": 0.3062080536912752
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-    },
-    {
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-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.36565625
-      }
-    },
-    {
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-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3640292553191489
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/DavidAU/DeepHermes-3-Llama-3-8B-Preview-16.5B-Brainstorm/a6c647e8-ed24-4150-8563-dd9b20e21498.json b/data/hfopenllm_v2/DavidAU/DeepHermes-3-Llama-3-8B-Preview-16.5B-Brainstorm/a6c647e8-ed24-4150-8563-dd9b20e21498.json
new file mode 100644
index 000000000..61ffee2d2
--- /dev/null
+++ b/data/hfopenllm_v2/DavidAU/DeepHermes-3-Llama-3-8B-Preview-16.5B-Brainstorm/a6c647e8-ed24-4150-8563-dd9b20e21498.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/DavidAU_DeepHermes-3-Llama-3-8B-Preview-16.5B-Brainstorm/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "DeepHermes-3-Llama-3-8B-Preview-16.5B-Brainstorm",
+    "id": "DavidAU/DeepHermes-3-Llama-3-8B-Preview-16.5B-Brainstorm",
+    "developer": "DavidAU",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 16.537
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3136
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4762
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1057
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3138
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3928
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3209
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DavidAU/DeepSeek-BlackRoot-R1-Distill-Llama-3.1-8B/b5a366ac-d736-4447-a2f1-98d0b84ba3bd.json b/data/hfopenllm_v2/DavidAU/DeepSeek-BlackRoot-R1-Distill-Llama-3.1-8B/b5a366ac-d736-4447-a2f1-98d0b84ba3bd.json
new file mode 100644
index 000000000..408f2c43a
--- /dev/null
+++ b/data/hfopenllm_v2/DavidAU/DeepSeek-BlackRoot-R1-Distill-Llama-3.1-8B/b5a366ac-d736-4447-a2f1-98d0b84ba3bd.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/DavidAU_DeepSeek-BlackRoot-R1-Distill-Llama-3.1-8B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "DeepSeek-BlackRoot-R1-Distill-Llama-3.1-8B",
+    "id": "DavidAU/DeepSeek-BlackRoot-R1-Distill-Llama-3.1-8B",
+    "developer": "DavidAU",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3685
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4887
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0657
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.318
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.432
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2976
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DavidAU/DeepSeek-Grand-Horror-SMB-R1-Distill-Llama-3.1-16B/5d098dc6-8124-4d26-86ec-d54e6e09c3a6.json b/data/hfopenllm_v2/DavidAU/DeepSeek-Grand-Horror-SMB-R1-Distill-Llama-3.1-16B/5d098dc6-8124-4d26-86ec-d54e6e09c3a6.json
new file mode 100644
index 000000000..ba72ae399
--- /dev/null
+++ b/data/hfopenllm_v2/DavidAU/DeepSeek-Grand-Horror-SMB-R1-Distill-Llama-3.1-16B/5d098dc6-8124-4d26-86ec-d54e6e09c3a6.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/DavidAU_DeepSeek-Grand-Horror-SMB-R1-Distill-Llama-3.1-16B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "DeepSeek-Grand-Horror-SMB-R1-Distill-Llama-3.1-16B",
+    "id": "DavidAU/DeepSeek-Grand-Horror-SMB-R1-Distill-Llama-3.1-16B",
+    "developer": "DavidAU",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 15.664
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2507
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4488
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0295
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3138
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4164
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2709
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DavidAU/DeepSeek-MOE-4X8B-R1-Distill-Llama-3.1-Deep-Thinker-Uncensored-24B/1137cbc4-d80b-4e21-bfeb-feab41dc80b2.json b/data/hfopenllm_v2/DavidAU/DeepSeek-MOE-4X8B-R1-Distill-Llama-3.1-Deep-Thinker-Uncensored-24B/1137cbc4-d80b-4e21-bfeb-feab41dc80b2.json
new file mode 100644
index 000000000..55cc9cff5
--- /dev/null
+++ b/data/hfopenllm_v2/DavidAU/DeepSeek-MOE-4X8B-R1-Distill-Llama-3.1-Deep-Thinker-Uncensored-24B/1137cbc4-d80b-4e21-bfeb-feab41dc80b2.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
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new file mode 100644
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new file mode 100644
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new file mode 100644
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new file mode 100644
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diff --git a/data/hfopenllm_v2/DavidAU/Gemma-The-Writer-9B/3349d66c-e12b-49c1-a406-e0e77b697458.json b/data/hfopenllm_v2/DavidAU/Gemma-The-Writer-9B/3349d66c-e12b-49c1-a406-e0e77b697458.json
new file mode 100644
index 000000000..1978b8349
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+++ b/data/hfopenllm_v2/DavidAU/Gemma-The-Writer-9B/3349d66c-e12b-49c1-a406-e0e77b697458.json
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diff --git a/data/hfopenllm_v2/DavidAU/Gemma-The-Writer-DEADLINE-10B/7aa0ff6b-11a9-4554-a27f-e477a0ff77c7.json b/data/hfopenllm_v2/DavidAU/Gemma-The-Writer-DEADLINE-10B/7aa0ff6b-11a9-4554-a27f-e477a0ff77c7.json
new file mode 100644
index 000000000..5af39ed94
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diff --git a/data/hfopenllm_v2/DavidAU/Gemma-The-Writer-J.GutenBerg-10B/ac749485-df6d-485e-8fa7-63bdfd744167.json b/data/hfopenllm_v2/DavidAU/Gemma-The-Writer-J.GutenBerg-10B/ac749485-df6d-485e-8fa7-63bdfd744167.json
new file mode 100644
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diff --git a/data/hfopenllm_v2/DavidAU/Gemma-The-Writer-Mighty-Sword-9B/54363a4b-312b-4035-a1c3-b5321311cec4.json b/data/hfopenllm_v2/DavidAU/Gemma-The-Writer-Mighty-Sword-9B/54363a4b-312b-4035-a1c3-b5321311cec4.json
new file mode 100644
index 000000000..fdb1da8cf
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+++ b/data/hfopenllm_v2/DavidAU/Gemma-The-Writer-Mighty-Sword-9B/54363a4b-312b-4035-a1c3-b5321311cec4.json
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/DavidAU/Gemma-The-Writer-N-Restless-Quill-10B-Uncensored/aa9e2b9e-cd25-4492-9801-eba7d40b4365.json b/data/hfopenllm_v2/DavidAU/Gemma-The-Writer-N-Restless-Quill-10B-Uncensored/aa9e2b9e-cd25-4492-9801-eba7d40b4365.json
new file mode 100644
index 000000000..949b96b5e
--- /dev/null
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+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7071
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5922
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2296
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3414
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4163
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3966
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DavidAU/L3-DARKEST-PLANET-16.5B/2c317db5-86fa-41fd-8f1e-3cf08ba91cde.json b/data/hfopenllm_v2/DavidAU/L3-DARKEST-PLANET-16.5B/2c317db5-86fa-41fd-8f1e-3cf08ba91cde.json
deleted file mode 100644
index 854871616..000000000
--- a/data/hfopenllm_v2/DavidAU/L3-DARKEST-PLANET-16.5B/2c317db5-86fa-41fd-8f1e-3cf08ba91cde.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/DavidAU_L3-DARKEST-PLANET-16.5B/1762652579.540939",
-  "retrieved_timestamp": "1762652579.54094",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
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-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "DavidAU/L3-DARKEST-PLANET-16.5B",
-    "developer": "DavidAU",
-    "inference_platform": "unknown",
-    "id": "DavidAU/L3-DARKEST-PLANET-16.5B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 16.537
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6230623634179533
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-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5230436906708896
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.08987915407854985
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-      "score_details": {
-        "score": 0.2953020134228188
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-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3753645833333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.363031914893617
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/DavidAU/L3-DARKEST-PLANET-16.5B/c6b484b8-f6f3-4516-aff5-c2f6438c9047.json b/data/hfopenllm_v2/DavidAU/L3-DARKEST-PLANET-16.5B/c6b484b8-f6f3-4516-aff5-c2f6438c9047.json
new file mode 100644
index 000000000..adcdba506
--- /dev/null
+++ b/data/hfopenllm_v2/DavidAU/L3-DARKEST-PLANET-16.5B/c6b484b8-f6f3-4516-aff5-c2f6438c9047.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/DavidAU_L3-DARKEST-PLANET-16.5B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "L3-DARKEST-PLANET-16.5B",
+    "id": "DavidAU/L3-DARKEST-PLANET-16.5B",
+    "developer": "DavidAU",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 16.537
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6231
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.523
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0899
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2953
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3754
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.363
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DavidAU/L3-Dark-Planet-8B/c6c760c9-a345-4e25-b333-b403bf6db389.json b/data/hfopenllm_v2/DavidAU/L3-Dark-Planet-8B/c6c760c9-a345-4e25-b333-b403bf6db389.json
new file mode 100644
index 000000000..2857bf738
--- /dev/null
+++ b/data/hfopenllm_v2/DavidAU/L3-Dark-Planet-8B/c6c760c9-a345-4e25-b333-b403bf6db389.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/DavidAU_L3-Dark-Planet-8B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "L3-Dark-Planet-8B",
+    "id": "DavidAU/L3-Dark-Planet-8B",
+    "developer": "DavidAU",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4134
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5084
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0823
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3003
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3616
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3737
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DavidAU/L3-Dark-Planet-8B/f5c2a2cc-392e-4337-aad9-72d65ba87aab.json b/data/hfopenllm_v2/DavidAU/L3-Dark-Planet-8B/f5c2a2cc-392e-4337-aad9-72d65ba87aab.json
deleted file mode 100644
index ee2591587..000000000
--- a/data/hfopenllm_v2/DavidAU/L3-Dark-Planet-8B/f5c2a2cc-392e-4337-aad9-72d65ba87aab.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/DavidAU_L3-Dark-Planet-8B/1762652579.5412621",
-  "retrieved_timestamp": "1762652579.541263",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "DavidAU/L3-Dark-Planet-8B",
-    "developer": "DavidAU",
-    "inference_platform": "unknown",
-    "id": "DavidAU/L3-Dark-Planet-8B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4134108609600305
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5084081453197787
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.0823262839879154
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30033557046979864
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.36159375
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37367021276595747
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/DavidAU/L3-Jamet-12.2B-MK.V-Blackroot-Instruct/65b2aa58-2c04-48f2-9ea3-c8fd97cb9dde.json b/data/hfopenllm_v2/DavidAU/L3-Jamet-12.2B-MK.V-Blackroot-Instruct/65b2aa58-2c04-48f2-9ea3-c8fd97cb9dde.json
new file mode 100644
index 000000000..d2d3fcadd
--- /dev/null
+++ b/data/hfopenllm_v2/DavidAU/L3-Jamet-12.2B-MK.V-Blackroot-Instruct/65b2aa58-2c04-48f2-9ea3-c8fd97cb9dde.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/DavidAU_L3-Jamet-12.2B-MK.V-Blackroot-Instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "L3-Jamet-12.2B-MK.V-Blackroot-Instruct",
+    "id": "DavidAU/L3-Jamet-12.2B-MK.V-Blackroot-Instruct",
+    "developer": "DavidAU",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 12.174
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3962
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4766
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0408
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2785
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.402
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3291
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DavidAU/L3-Jamet-12.2B-MK.V-Blackroot-Instruct/85a1ef3f-7d68-4324-876d-b52cfa71317d.json b/data/hfopenllm_v2/DavidAU/L3-Jamet-12.2B-MK.V-Blackroot-Instruct/85a1ef3f-7d68-4324-876d-b52cfa71317d.json
deleted file mode 100644
index 11587b0a9..000000000
--- a/data/hfopenllm_v2/DavidAU/L3-Jamet-12.2B-MK.V-Blackroot-Instruct/85a1ef3f-7d68-4324-876d-b52cfa71317d.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/DavidAU_L3-Jamet-12.2B-MK.V-Blackroot-Instruct/1762652579.541475",
-  "retrieved_timestamp": "1762652579.541475",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "DavidAU/L3-Jamet-12.2B-MK.V-Blackroot-Instruct",
-    "developer": "DavidAU",
-    "inference_platform": "unknown",
-    "id": "DavidAU/L3-Jamet-12.2B-MK.V-Blackroot-Instruct",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 12.174
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3961998608137519
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4765717717789398
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.04078549848942598
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2785234899328859
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.40196875
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3291223404255319
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/DavidAU/L3-Lumimaid-12.2B-v0.1-OAS-Instruct/92903344-0dde-4f5a-a7d2-749a1ffe9cd3.json b/data/hfopenllm_v2/DavidAU/L3-Lumimaid-12.2B-v0.1-OAS-Instruct/92903344-0dde-4f5a-a7d2-749a1ffe9cd3.json
new file mode 100644
index 000000000..0b5fe1f21
--- /dev/null
+++ b/data/hfopenllm_v2/DavidAU/L3-Lumimaid-12.2B-v0.1-OAS-Instruct/92903344-0dde-4f5a-a7d2-749a1ffe9cd3.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/DavidAU_L3-Lumimaid-12.2B-v0.1-OAS-Instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "L3-Lumimaid-12.2B-v0.1-OAS-Instruct",
+    "id": "DavidAU/L3-Lumimaid-12.2B-v0.1-OAS-Instruct",
+    "developer": "DavidAU",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 12.174
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3924
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4693
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0461
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2768
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4194
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3142
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DavidAU/L3-Lumimaid-12.2B-v0.1-OAS-Instruct/a8fe768d-f988-4fba-be80-2f5cc22dfd9d.json b/data/hfopenllm_v2/DavidAU/L3-Lumimaid-12.2B-v0.1-OAS-Instruct/a8fe768d-f988-4fba-be80-2f5cc22dfd9d.json
deleted file mode 100644
index 048adf326..000000000
--- a/data/hfopenllm_v2/DavidAU/L3-Lumimaid-12.2B-v0.1-OAS-Instruct/a8fe768d-f988-4fba-be80-2f5cc22dfd9d.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/DavidAU_L3-Lumimaid-12.2B-v0.1-OAS-Instruct/1762652579.541698",
-  "retrieved_timestamp": "1762652579.5416992",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "DavidAU/L3-Lumimaid-12.2B-v0.1-OAS-Instruct",
-    "developer": "DavidAU",
-    "inference_platform": "unknown",
-    "id": "DavidAU/L3-Lumimaid-12.2B-v0.1-OAS-Instruct",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 12.174
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3924032677739509
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.46930207579694677
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.04607250755287009
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.27684563758389263
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41942708333333334
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.31416223404255317
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/DavidAU/L3-SMB-Instruct-12.2B-F32/59ddd478-c1cd-4bd8-80c3-fdebe762414a.json b/data/hfopenllm_v2/DavidAU/L3-SMB-Instruct-12.2B-F32/59ddd478-c1cd-4bd8-80c3-fdebe762414a.json
new file mode 100644
index 000000000..39a911ded
--- /dev/null
+++ b/data/hfopenllm_v2/DavidAU/L3-SMB-Instruct-12.2B-F32/59ddd478-c1cd-4bd8-80c3-fdebe762414a.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/DavidAU_L3-SMB-Instruct-12.2B-F32/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "L3-SMB-Instruct-12.2B-F32",
+    "id": "DavidAU/L3-SMB-Instruct-12.2B-F32",
+    "developer": "DavidAU",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 12.174
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4303
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4786
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0468
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2819
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4087
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3312
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DavidAU/L3-SMB-Instruct-12.2B-F32/970cfd49-b72c-4cf5-af05-1ecfc57c94d8.json b/data/hfopenllm_v2/DavidAU/L3-SMB-Instruct-12.2B-F32/970cfd49-b72c-4cf5-af05-1ecfc57c94d8.json
deleted file mode 100644
index f595ce849..000000000
--- a/data/hfopenllm_v2/DavidAU/L3-SMB-Instruct-12.2B-F32/970cfd49-b72c-4cf5-af05-1ecfc57c94d8.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/DavidAU_L3-SMB-Instruct-12.2B-F32/1762652579.541919",
-  "retrieved_timestamp": "1762652579.54192",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "DavidAU/L3-SMB-Instruct-12.2B-F32",
-    "developer": "DavidAU",
-    "inference_platform": "unknown",
-    "id": "DavidAU/L3-SMB-Instruct-12.2B-F32",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 12.174
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4303215468290802
-      }
-    },
-    {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-        "score": 0.04682779456193353
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-      "evaluation_name": "GPQA",
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.40872916666666664
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3312001329787234
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/DavidAU/L3-Stheno-Maid-Blackroot-Grand-HORROR-16B/02f63fc6-9376-4fb5-b067-63493238cc27.json b/data/hfopenllm_v2/DavidAU/L3-Stheno-Maid-Blackroot-Grand-HORROR-16B/02f63fc6-9376-4fb5-b067-63493238cc27.json
new file mode 100644
index 000000000..abc99f61c
--- /dev/null
+++ b/data/hfopenllm_v2/DavidAU/L3-Stheno-Maid-Blackroot-Grand-HORROR-16B/02f63fc6-9376-4fb5-b067-63493238cc27.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/DavidAU_L3-Stheno-Maid-Blackroot-Grand-HORROR-16B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "L3-Stheno-Maid-Blackroot-Grand-HORROR-16B",
+    "id": "DavidAU/L3-Stheno-Maid-Blackroot-Grand-HORROR-16B",
+    "developer": "DavidAU",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 16.537
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3439
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4736
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0219
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.271
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4031
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.357
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DavidAU/L3-Stheno-Maid-Blackroot-Grand-HORROR-16B/9dbf220a-cbe9-40da-814f-951205c3abbe.json b/data/hfopenllm_v2/DavidAU/L3-Stheno-Maid-Blackroot-Grand-HORROR-16B/9dbf220a-cbe9-40da-814f-951205c3abbe.json
deleted file mode 100644
index 73ebbc10d..000000000
--- a/data/hfopenllm_v2/DavidAU/L3-Stheno-Maid-Blackroot-Grand-HORROR-16B/9dbf220a-cbe9-40da-814f-951205c3abbe.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/DavidAU_L3-Stheno-Maid-Blackroot-Grand-HORROR-16B/1762652579.542142",
-  "retrieved_timestamp": "1762652579.5421429",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "DavidAU/L3-Stheno-Maid-Blackroot-Grand-HORROR-16B",
-    "developer": "DavidAU",
-    "inference_platform": "unknown",
-    "id": "DavidAU/L3-Stheno-Maid-Blackroot-Grand-HORROR-16B",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 16.537
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.34389309254998957
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4736328900737677
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.02190332326283988
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2709731543624161
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.40311458333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3570478723404255
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/DavidAU/L3-Stheno-v3.2-12.2B-Instruct/51566db6-56e4-40bd-a248-6c968f2b83e8.json b/data/hfopenllm_v2/DavidAU/L3-Stheno-v3.2-12.2B-Instruct/51566db6-56e4-40bd-a248-6c968f2b83e8.json
deleted file mode 100644
index 7041e5b7c..000000000
--- a/data/hfopenllm_v2/DavidAU/L3-Stheno-v3.2-12.2B-Instruct/51566db6-56e4-40bd-a248-6c968f2b83e8.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/DavidAU_L3-Stheno-v3.2-12.2B-Instruct/1762652579.542359",
-  "retrieved_timestamp": "1762652579.54236",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "DavidAU/L3-Stheno-v3.2-12.2B-Instruct",
-    "developer": "DavidAU",
-    "inference_platform": "unknown",
-    "id": "DavidAU/L3-Stheno-v3.2-12.2B-Instruct",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 12.174
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4027945850343755
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4845980190500647
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.05060422960725076
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2751677852348993
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41025
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3345246010638298
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/DavidAU/L3-Stheno-v3.2-12.2B-Instruct/dd7597fd-27f5-4e77-a44f-b01d0db82719.json b/data/hfopenllm_v2/DavidAU/L3-Stheno-v3.2-12.2B-Instruct/dd7597fd-27f5-4e77-a44f-b01d0db82719.json
new file mode 100644
index 000000000..e2f7047b8
--- /dev/null
+++ b/data/hfopenllm_v2/DavidAU/L3-Stheno-v3.2-12.2B-Instruct/dd7597fd-27f5-4e77-a44f-b01d0db82719.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/DavidAU_L3-Stheno-v3.2-12.2B-Instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "L3-Stheno-v3.2-12.2B-Instruct",
+    "id": "DavidAU/L3-Stheno-v3.2-12.2B-Instruct",
+    "developer": "DavidAU",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 12.174
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4028
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4846
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0506
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2752
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4103
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3345
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DavidAU/L3.1-Dark-Planet-SpinFire-Uncensored-8B/0982d599-57c7-4eeb-bd47-844879bb79a5.json b/data/hfopenllm_v2/DavidAU/L3.1-Dark-Planet-SpinFire-Uncensored-8B/0982d599-57c7-4eeb-bd47-844879bb79a5.json
deleted file mode 100644
index f89c604dd..000000000
--- a/data/hfopenllm_v2/DavidAU/L3.1-Dark-Planet-SpinFire-Uncensored-8B/0982d599-57c7-4eeb-bd47-844879bb79a5.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/DavidAU_L3.1-Dark-Planet-SpinFire-Uncensored-8B/1762652579.542578",
-  "retrieved_timestamp": "1762652579.542578",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "DavidAU/L3.1-Dark-Planet-SpinFire-Uncensored-8B",
-    "developer": "DavidAU",
-    "inference_platform": "unknown",
-    "id": "DavidAU/L3.1-Dark-Planet-SpinFire-Uncensored-8B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7042702252246262
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5260910165037093
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.09290030211480363
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
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new file mode 100644
index 000000000..c256c420f
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/DavidAU/L3.1-MOE-2X8B-Deepseek-DeepHermes-e32-uncensored-abliterated-13.7B/a7df9a84-fa29-4c8e-8413-4542b5eafb63.json b/data/hfopenllm_v2/DavidAU/L3.1-MOE-2X8B-Deepseek-DeepHermes-e32-uncensored-abliterated-13.7B/a7df9a84-fa29-4c8e-8413-4542b5eafb63.json
deleted file mode 100644
index 91e233037..000000000
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new file mode 100644
index 000000000..0420b014e
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/DavidAU/Qwen2.5-MOE-2X1.5B-DeepSeek-Uncensored-Censored-4B/0a0501ec-4ecd-47c1-914b-d473f795cef2.json b/data/hfopenllm_v2/DavidAU/Qwen2.5-MOE-2X1.5B-DeepSeek-Uncensored-Censored-4B/0a0501ec-4ecd-47c1-914b-d473f795cef2.json
new file mode 100644
index 000000000..0a0b5cf10
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DavidAU/Qwen2.5-MOE-2X7B-DeepSeek-Abliterated-Censored-19B/beca755f-203f-4bc8-b5cf-f9a9e3f8bd8f.json b/data/hfopenllm_v2/DavidAU/Qwen2.5-MOE-2X7B-DeepSeek-Abliterated-Censored-19B/beca755f-203f-4bc8-b5cf-f9a9e3f8bd8f.json
new file mode 100644
index 000000000..3d03444da
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@@ -0,0 +1,132 @@
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DavidAU/Qwen2.5-MOE-6x1.5B-DeepSeek-Reasoning-e32/79e1e1c6-cbe0-43a9-a593-8e2119baaf77.json b/data/hfopenllm_v2/DavidAU/Qwen2.5-MOE-6x1.5B-DeepSeek-Reasoning-e32/79e1e1c6-cbe0-43a9-a593-8e2119baaf77.json
new file mode 100644
index 000000000..60721bfc8
--- /dev/null
+++ b/data/hfopenllm_v2/DavidAU/Qwen2.5-MOE-6x1.5B-DeepSeek-Reasoning-e32/79e1e1c6-cbe0-43a9-a593-8e2119baaf77.json
@@ -0,0 +1,132 @@
+{
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+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-MOE-6x1.5B-DeepSeek-Reasoning-e32",
+    "id": "DavidAU/Qwen2.5-MOE-6x1.5B-DeepSeek-Reasoning-e32",
+    "developer": "DavidAU",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2MoeForCausalLM",
+      "params_billions": 8.714
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "max_score": 1.0
+      },
+      "score_details": {
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+    },
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+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
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+        "hf_repo": "TAUR-Lab/MuSR"
+      },
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+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Davidsv/SUONG-1/097e6cbe-88cd-4d61-bb4c-0b8ddb537abe.json b/data/hfopenllm_v2/Davidsv/SUONG-1/097e6cbe-88cd-4d61-bb4c-0b8ddb537abe.json
deleted file mode 100644
index 40c040e7a..000000000
--- a/data/hfopenllm_v2/Davidsv/SUONG-1/097e6cbe-88cd-4d61-bb4c-0b8ddb537abe.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "model_info": {
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-    "developer": "Davidsv",
-    "inference_platform": "unknown",
-    "id": "Davidsv/SUONG-1",
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diff --git a/data/hfopenllm_v2/Davidsv/SUONG-1/def80b44-3d9a-46ba-bf5f-ffc81e50af2e.json b/data/hfopenllm_v2/Davidsv/SUONG-1/def80b44-3d9a-46ba-bf5f-ffc81e50af2e.json
new file mode 100644
index 000000000..392a9563b
--- /dev/null
+++ b/data/hfopenllm_v2/Davidsv/SUONG-1/def80b44-3d9a-46ba-bf5f-ffc81e50af2e.json
@@ -0,0 +1,132 @@
+{
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+  "evaluation_id": "hfopenllm_v2/Davidsv_SUONG-1/1770682486.623709",
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+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "SUONG-1",
+    "id": "Davidsv/SUONG-1",
+    "developer": "Davidsv",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 2.879
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
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+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
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+        "max_score": 1.0
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+        "score_type": "continuous",
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+        "max_score": 1.0
+      },
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+      }
+    },
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+      "score_details": {
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+    },
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+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
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+        "max_score": 1.0
+      },
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+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DavieLion/Llama-3.2-1B-SPIN-iter0/5e1aa809-ef20-445e-a05b-eccd585d5991.json b/data/hfopenllm_v2/DavieLion/Llama-3.2-1B-SPIN-iter0/5e1aa809-ef20-445e-a05b-eccd585d5991.json
new file mode 100644
index 000000000..a70497e8f
--- /dev/null
+++ b/data/hfopenllm_v2/DavieLion/Llama-3.2-1B-SPIN-iter0/5e1aa809-ef20-445e-a05b-eccd585d5991.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/DavieLion_Llama-3.2-1B-SPIN-iter0/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-3.2-1B-SPIN-iter0",
+    "id": "DavieLion/Llama-3.2-1B-SPIN-iter0",
+    "developer": "DavieLion",
+    "inference_platform": "unknown",
+    "additional_details": {
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+      "architecture": "LlamaForCausalLM",
+      "params_billions": 1.236
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+  "evaluation_results": [
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+      "evaluation_name": "IFEval",
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+        "hf_repo": "google/IFEval"
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.293
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+      "evaluation_name": "GPQA",
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+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
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+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1125
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DavieLion/Llama-3.2-1B-SPIN-iter0/7c2be651-ca56-4285-afc7-1bfe1c8ce11e.json b/data/hfopenllm_v2/DavieLion/Llama-3.2-1B-SPIN-iter0/7c2be651-ca56-4285-afc7-1bfe1c8ce11e.json
new file mode 100644
index 000000000..ff2f7e65f
--- /dev/null
+++ b/data/hfopenllm_v2/DavieLion/Llama-3.2-1B-SPIN-iter0/7c2be651-ca56-4285-afc7-1bfe1c8ce11e.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/DavieLion_Llama-3.2-1B-SPIN-iter0/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-3.2-1B-SPIN-iter0",
+    "id": "DavieLion/Llama-3.2-1B-SPIN-iter0",
+    "developer": "DavieLion",
+    "inference_platform": "unknown",
+    "additional_details": {
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+      "params_billions": 1.236
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/DavieLion/Llama-3.2-1B-SPIN-iter1/cfe4ea72-ddb9-49b5-9599-99f215e112e5.json b/data/hfopenllm_v2/DavieLion/Llama-3.2-1B-SPIN-iter1/cfe4ea72-ddb9-49b5-9599-99f215e112e5.json
new file mode 100644
index 000000000..6cf1f5440
--- /dev/null
+++ b/data/hfopenllm_v2/DavieLion/Llama-3.2-1B-SPIN-iter1/cfe4ea72-ddb9-49b5-9599-99f215e112e5.json
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/DavieLion/Llama-3.2-1B-SPIN-iter2/81d63d8e-88dd-4b16-b9b8-d07604878f8f.json b/data/hfopenllm_v2/DavieLion/Llama-3.2-1B-SPIN-iter2/81d63d8e-88dd-4b16-b9b8-d07604878f8f.json
new file mode 100644
index 000000000..b5a6f68d3
--- /dev/null
+++ b/data/hfopenllm_v2/DavieLion/Llama-3.2-1B-SPIN-iter2/81d63d8e-88dd-4b16-b9b8-d07604878f8f.json
@@ -0,0 +1,132 @@
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/DavieLion/Llama-3.2-1B-SPIN-iter3/81f8208b-f7e7-4685-bb84-321d9e097470.json b/data/hfopenllm_v2/DavieLion/Llama-3.2-1B-SPIN-iter3/81f8208b-f7e7-4685-bb84-321d9e097470.json
new file mode 100644
index 000000000..fe2d84160
--- /dev/null
+++ b/data/hfopenllm_v2/DavieLion/Llama-3.2-1B-SPIN-iter3/81f8208b-f7e7-4685-bb84-321d9e097470.json
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DavieLion/Llama-3.2-1B-SPIN-iter3/a0c9a434-9b8c-47c5-b511-9daac7901686.json b/data/hfopenllm_v2/DavieLion/Llama-3.2-1B-SPIN-iter3/a0c9a434-9b8c-47c5-b511-9daac7901686.json
new file mode 100644
index 000000000..e22bf8212
--- /dev/null
+++ b/data/hfopenllm_v2/DavieLion/Llama-3.2-1B-SPIN-iter3/a0c9a434-9b8c-47c5-b511-9daac7901686.json
@@ -0,0 +1,132 @@
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DavieLion/Lllma-3.2-1B/274ed35b-4abe-4f20-bd18-7e386a7fdaa5.json b/data/hfopenllm_v2/DavieLion/Lllma-3.2-1B/274ed35b-4abe-4f20-bd18-7e386a7fdaa5.json
deleted file mode 100644
index a8c3c184d..000000000
--- a/data/hfopenllm_v2/DavieLion/Lllma-3.2-1B/274ed35b-4abe-4f20-bd18-7e386a7fdaa5.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/DavieLion_Lllma-3.2-1B/1762652579.5458188",
-  "retrieved_timestamp": "1762652579.54582",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "DavieLion/Lllma-3.2-1B",
-    "developer": "DavieLion",
-    "inference_platform": "unknown",
-    "id": "DavieLion/Lllma-3.2-1B",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 1.236
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1601439735457475
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2964692268500723
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.006797583081570997
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.24412751677852348
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.35781250000000003
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11261635638297872
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/DavieLion/Lllma-3.2-1B/28b60eae-1b38-4404-8db1-3fb2997583f4.json b/data/hfopenllm_v2/DavieLion/Lllma-3.2-1B/28b60eae-1b38-4404-8db1-3fb2997583f4.json
new file mode 100644
index 000000000..9df57bb74
--- /dev/null
+++ b/data/hfopenllm_v2/DavieLion/Lllma-3.2-1B/28b60eae-1b38-4404-8db1-3fb2997583f4.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/DavieLion_Lllma-3.2-1B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Lllma-3.2-1B",
+    "id": "DavieLion/Lllma-3.2-1B",
+    "developer": "DavieLion",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 1.236
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1601
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2965
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0068
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2441
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3578
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1126
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DebateLabKIT/Llama-3.1-Argunaut-1-8B-SFT/746862a2-a90c-4612-91d0-f989b9eed1a5.json b/data/hfopenllm_v2/DebateLabKIT/Llama-3.1-Argunaut-1-8B-SFT/746862a2-a90c-4612-91d0-f989b9eed1a5.json
new file mode 100644
index 000000000..64711247e
--- /dev/null
+++ b/data/hfopenllm_v2/DebateLabKIT/Llama-3.1-Argunaut-1-8B-SFT/746862a2-a90c-4612-91d0-f989b9eed1a5.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/DebateLabKIT_Llama-3.1-Argunaut-1-8B-SFT/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-3.1-Argunaut-1-8B-SFT",
+    "id": "DebateLabKIT/Llama-3.1-Argunaut-1-8B-SFT",
+    "developer": "DebateLabKIT",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5519
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4824
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.145
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2836
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4503
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3472
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DebateLabKIT/Llama-3.1-Argunaut-1-8B-SFT/ea40f65f-60a8-4efa-aa8d-e2a64ef5999f.json b/data/hfopenllm_v2/DebateLabKIT/Llama-3.1-Argunaut-1-8B-SFT/ea40f65f-60a8-4efa-aa8d-e2a64ef5999f.json
deleted file mode 100644
index f371adbac..000000000
--- a/data/hfopenllm_v2/DebateLabKIT/Llama-3.1-Argunaut-1-8B-SFT/ea40f65f-60a8-4efa-aa8d-e2a64ef5999f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/DebateLabKIT_Llama-3.1-Argunaut-1-8B-SFT/1762652579.546083",
-  "retrieved_timestamp": "1762652579.5460842",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "DebateLabKIT/Llama-3.1-Argunaut-1-8B-SFT",
-    "developer": "DebateLabKIT",
-    "inference_platform": "unknown",
-    "id": "DebateLabKIT/Llama-3.1-Argunaut-1-8B-SFT",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.551921124837653
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.48238301936695316
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.14501510574018128
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2835570469798658
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4503020833333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3472406914893617
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Deci/DeciLM-7B-instruct/1b3a2041-d14f-44d1-9efd-dbeceaa67ee6.json b/data/hfopenllm_v2/Deci/DeciLM-7B-instruct/1b3a2041-d14f-44d1-9efd-dbeceaa67ee6.json
deleted file mode 100644
index 8805ad5d9..000000000
--- a/data/hfopenllm_v2/Deci/DeciLM-7B-instruct/1b3a2041-d14f-44d1-9efd-dbeceaa67ee6.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Deci_DeciLM-7B-instruct/1762652579.546672",
-  "retrieved_timestamp": "1762652579.546672",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Deci/DeciLM-7B-instruct",
-    "developer": "Deci",
-    "inference_platform": "unknown",
-    "id": "Deci/DeciLM-7B-instruct",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "DeciLMForCausalLM",
-      "params_billions": 7.044
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4880239985460799
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4589748654047652
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.030211480362537766
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.28942953020134227
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.38841666666666663
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.26080452127659576
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Deci/DeciLM-7B-instruct/715ee057-9c9a-4e04-991c-7040b1eef65b.json b/data/hfopenllm_v2/Deci/DeciLM-7B-instruct/715ee057-9c9a-4e04-991c-7040b1eef65b.json
new file mode 100644
index 000000000..19a0bd337
--- /dev/null
+++ b/data/hfopenllm_v2/Deci/DeciLM-7B-instruct/715ee057-9c9a-4e04-991c-7040b1eef65b.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Deci_DeciLM-7B-instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "DeciLM-7B-instruct",
+    "id": "Deci/DeciLM-7B-instruct",
+    "developer": "Deci",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "DeciLMForCausalLM",
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/Deci/DeciLM-7B/4dc1d103-3458-4b8c-9e63-b98effd69667.json b/data/hfopenllm_v2/Deci/DeciLM-7B/4dc1d103-3458-4b8c-9e63-b98effd69667.json
new file mode 100644
index 000000000..7a095aa90
--- /dev/null
+++ b/data/hfopenllm_v2/Deci/DeciLM-7B/4dc1d103-3458-4b8c-9e63-b98effd69667.json
@@ -0,0 +1,132 @@
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/Deci/DeciLM-7B/f9d2408b-03dd-4cf8-851e-51a15ff13be9.json b/data/hfopenllm_v2/Deci/DeciLM-7B/f9d2408b-03dd-4cf8-851e-51a15ff13be9.json
deleted file mode 100644
index d83521422..000000000
--- a/data/hfopenllm_v2/Deci/DeciLM-7B/f9d2408b-03dd-4cf8-851e-51a15ff13be9.json
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diff --git a/data/hfopenllm_v2/DeepAutoAI/Explore_Llama-3.1-8B-Inst/070ff2a5-9a5d-48cf-8517-1ad9b6642d59.json b/data/hfopenllm_v2/DeepAutoAI/Explore_Llama-3.1-8B-Inst/070ff2a5-9a5d-48cf-8517-1ad9b6642d59.json
new file mode 100644
index 000000000..693d2501c
--- /dev/null
+++ b/data/hfopenllm_v2/DeepAutoAI/Explore_Llama-3.1-8B-Inst/070ff2a5-9a5d-48cf-8517-1ad9b6642d59.json
@@ -0,0 +1,132 @@
+{
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+    "id": "DeepAutoAI/Explore_Llama-3.1-8B-Inst",
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+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
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+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DeepAutoAI/Explore_Llama-3.2-1B-Inst/8406a5b8-a87d-489b-b75b-00e9f675f09f.json b/data/hfopenllm_v2/DeepAutoAI/Explore_Llama-3.2-1B-Inst/8406a5b8-a87d-489b-b75b-00e9f675f09f.json
new file mode 100644
index 000000000..2d0dd9463
--- /dev/null
+++ b/data/hfopenllm_v2/DeepAutoAI/Explore_Llama-3.2-1B-Inst/8406a5b8-a87d-489b-b75b-00e9f675f09f.json
@@ -0,0 +1,132 @@
+{
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+  "source_metadata": {
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+    "source_organization_name": "Hugging Face",
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+    "developer": "DeepAutoAI",
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+        "hf_repo": "SaylorTwift/bbh"
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+        "lower_is_better": false,
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+        "max_score": 1.0
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+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
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+        "evaluation_description": "Exact Match on MATH Level 5",
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+        "hf_repo": "TAUR-Lab/MuSR"
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+        "hf_repo": "TIGER-Lab/MMLU-Pro"
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DeepAutoAI/Explore_Llama-3.2-1B-Inst_v0/11e8f9b6-32ab-4b83-a601-e5644c0b2c39.json b/data/hfopenllm_v2/DeepAutoAI/Explore_Llama-3.2-1B-Inst_v0/11e8f9b6-32ab-4b83-a601-e5644c0b2c39.json
new file mode 100644
index 000000000..6773c3179
--- /dev/null
+++ b/data/hfopenllm_v2/DeepAutoAI/Explore_Llama-3.2-1B-Inst_v0/11e8f9b6-32ab-4b83-a601-e5644c0b2c39.json
@@ -0,0 +1,132 @@
+{
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+  "source_metadata": {
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+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
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diff --git a/data/hfopenllm_v2/DeepAutoAI/Explore_Llama-3.2-1B-Inst_v1.1/6b542f5a-ea62-45ce-8e98-436a4d058877.json b/data/hfopenllm_v2/DeepAutoAI/Explore_Llama-3.2-1B-Inst_v1.1/6b542f5a-ea62-45ce-8e98-436a4d058877.json
new file mode 100644
index 000000000..a3c9bf2aa
--- /dev/null
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diff --git a/data/hfopenllm_v2/DeepAutoAI/Explore_Llama-3.2-1B-Inst_v1/9b280640-bfee-4730-acc3-386a54b2434c.json b/data/hfopenllm_v2/DeepAutoAI/Explore_Llama-3.2-1B-Inst_v1/9b280640-bfee-4730-acc3-386a54b2434c.json
new file mode 100644
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new file mode 100644
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+++ b/data/hfopenllm_v2/DeepAutoAI/causal_gpt2/eff5171b-6119-4013-8aa8-8a4f0215b045.json
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/DeepAutoAI/d2nwg_Llama-3.1-8B-Instruct-v0.0/471c5fed-f155-4521-9d9c-b5370ca91bec.json b/data/hfopenllm_v2/DeepAutoAI/d2nwg_Llama-3.1-8B-Instruct-v0.0/471c5fed-f155-4521-9d9c-b5370ca91bec.json
new file mode 100644
index 000000000..db64d4ff1
--- /dev/null
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/DeepAutoAI/d2nwg_Llama-3.1-8B-Instruct-v0.0/d5d73b84-4436-47bf-967e-c9be94898189.json b/data/hfopenllm_v2/DeepAutoAI/d2nwg_Llama-3.1-8B-Instruct-v0.0/d5d73b84-4436-47bf-967e-c9be94898189.json
deleted file mode 100644
index 5791f38b0..000000000
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new file mode 100644
index 000000000..e1f3baeef
--- /dev/null
+++ b/data/hfopenllm_v2/DeepAutoAI/d2nwg_causal_gpt2/690be099-3ace-484f-b01f-2fe6b324d12a.json
@@ -0,0 +1,132 @@
+{
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/DeepAutoAI/d2nwg_causal_gpt2_v1/71fbd15f-5eec-40d9-84e8-07323f3ffac6.json b/data/hfopenllm_v2/DeepAutoAI/d2nwg_causal_gpt2_v1/71fbd15f-5eec-40d9-84e8-07323f3ffac6.json
new file mode 100644
index 000000000..97cbbb48b
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+++ b/data/hfopenllm_v2/DeepAutoAI/d2nwg_causal_gpt2_v1/71fbd15f-5eec-40d9-84e8-07323f3ffac6.json
@@ -0,0 +1,132 @@
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/DeepAutoAI/ldm_soup_Llama-3.1-8B-Inst/eb93dd3e-3d13-4234-bb66-f6177648aa2b.json b/data/hfopenllm_v2/DeepAutoAI/ldm_soup_Llama-3.1-8B-Inst/eb93dd3e-3d13-4234-bb66-f6177648aa2b.json
new file mode 100644
index 000000000..02684506f
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+++ b/data/hfopenllm_v2/DeepAutoAI/ldm_soup_Llama-3.1-8B-Inst/eb93dd3e-3d13-4234-bb66-f6177648aa2b.json
@@ -0,0 +1,132 @@
+{
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DeepAutoAI/ldm_soup_Llama-3.1-8B-Instruct-v0.0/f7ec1ed7-cc30-4879-8ab1-4909011553d5.json b/data/hfopenllm_v2/DeepAutoAI/ldm_soup_Llama-3.1-8B-Instruct-v0.0/f7ec1ed7-cc30-4879-8ab1-4909011553d5.json
new file mode 100644
index 000000000..78c4abb58
--- /dev/null
+++ b/data/hfopenllm_v2/DeepAutoAI/ldm_soup_Llama-3.1-8B-Instruct-v0.0/f7ec1ed7-cc30-4879-8ab1-4909011553d5.json
@@ -0,0 +1,132 @@
+{
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+  "source_metadata": {
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+        "hf_repo": "Idavidrein/gpqa"
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+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4121
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3895
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DeepAutoAI/ldm_soup_Llama-3.1-8B-Instruct-v0.0/fb8eb882-26a9-4008-9226-90d44d38b54f.json b/data/hfopenllm_v2/DeepAutoAI/ldm_soup_Llama-3.1-8B-Instruct-v0.0/fb8eb882-26a9-4008-9226-90d44d38b54f.json
deleted file mode 100644
index b40a4a296..000000000
--- a/data/hfopenllm_v2/DeepAutoAI/ldm_soup_Llama-3.1-8B-Instruct-v0.0/fb8eb882-26a9-4008-9226-90d44d38b54f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/DeepAutoAI_ldm_soup_Llama-3.1-8B-Instruct-v0.0/1762652579.5500422",
-  "retrieved_timestamp": "1762652579.5500429",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "DeepAutoAI/ldm_soup_Llama-3.1-8B-Instruct-v0.0",
-    "developer": "DeepAutoAI",
-    "inference_platform": "unknown",
-    "id": "DeepAutoAI/ldm_soup_Llama-3.1-8B-Instruct-v0.0",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7889499860370484
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5125175335277464
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.19184290030211482
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2911073825503356
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41213541666666664
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.38954454787234044
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/DeepAutoAI/ldm_soup_Llama-3.1-8B-Instruct-v0.1/3e100704-dbd3-4d05-b325-5bb4bc90e51c.json b/data/hfopenllm_v2/DeepAutoAI/ldm_soup_Llama-3.1-8B-Instruct-v0.1/3e100704-dbd3-4d05-b325-5bb4bc90e51c.json
new file mode 100644
index 000000000..dbebcb08a
--- /dev/null
+++ b/data/hfopenllm_v2/DeepAutoAI/ldm_soup_Llama-3.1-8B-Instruct-v0.1/3e100704-dbd3-4d05-b325-5bb4bc90e51c.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/DeepAutoAI_ldm_soup_Llama-3.1-8B-Instruct-v0.1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "ldm_soup_Llama-3.1-8B-Instruct-v0.1",
+    "id": "DeepAutoAI/ldm_soup_Llama-3.1-8B-Instruct-v0.1",
+    "developer": "DeepAutoAI",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7889
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5125
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1918
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2911
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4121
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3895
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DeepAutoAI/ldm_soup_Llama-3.1-8B-Instruct-v0.1/a7ba1534-464f-45ba-834f-5f501b155c20.json b/data/hfopenllm_v2/DeepAutoAI/ldm_soup_Llama-3.1-8B-Instruct-v0.1/a7ba1534-464f-45ba-834f-5f501b155c20.json
deleted file mode 100644
index d74fbe18b..000000000
--- a/data/hfopenllm_v2/DeepAutoAI/ldm_soup_Llama-3.1-8B-Instruct-v0.1/a7ba1534-464f-45ba-834f-5f501b155c20.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/DeepAutoAI_ldm_soup_Llama-3.1-8B-Instruct-v0.1/1762652579.550273",
-  "retrieved_timestamp": "1762652579.5502741",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "DeepAutoAI/ldm_soup_Llama-3.1-8B-Instruct-v0.1",
-    "developer": "DeepAutoAI",
-    "inference_platform": "unknown",
-    "id": "DeepAutoAI/ldm_soup_Llama-3.1-8B-Instruct-v0.1",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7889499860370484
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5125175335277464
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.19184290030211482
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2911073825503356
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41213541666666664
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.38954454787234044
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/DeepMount00/Lexora-Lite-3B/12f003ef-1098-4d3f-aed7-7343034157bc.json b/data/hfopenllm_v2/DeepMount00/Lexora-Lite-3B/12f003ef-1098-4d3f-aed7-7343034157bc.json
new file mode 100644
index 000000000..d3e936e6c
--- /dev/null
+++ b/data/hfopenllm_v2/DeepMount00/Lexora-Lite-3B/12f003ef-1098-4d3f-aed7-7343034157bc.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/DeepMount00_Lexora-Lite-3B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Lexora-Lite-3B",
+    "id": "DeepMount00/Lexora-Lite-3B",
+    "developer": "DeepMount00",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 3.086
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5776
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4873
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2304
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2743
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3966
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3602
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DeepMount00/Lexora-Lite-3B/5eb28bbd-8428-4385-b078-13e8a868e9f0.json b/data/hfopenllm_v2/DeepMount00/Lexora-Lite-3B/5eb28bbd-8428-4385-b078-13e8a868e9f0.json
deleted file mode 100644
index 4c4deb104..000000000
--- a/data/hfopenllm_v2/DeepMount00/Lexora-Lite-3B/5eb28bbd-8428-4385-b078-13e8a868e9f0.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/DeepMount00_Lexora-Lite-3B/1762652579.550504",
-  "retrieved_timestamp": "1762652579.550505",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "DeepMount00/Lexora-Lite-3B",
-    "developer": "DeepMount00",
-    "inference_platform": "unknown",
-    "id": "DeepMount00/Lexora-Lite-3B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 3.086
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5775996577968678
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4873392373334518
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.23036253776435045
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.27432885906040266
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.39660416666666665
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3602061170212766
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diff --git a/data/hfopenllm_v2/DeepMount00/Lexora-Lite-3B_v2/9de2e564-3a30-4f1c-80da-6432a245a64f.json b/data/hfopenllm_v2/DeepMount00/Lexora-Lite-3B_v2/9de2e564-3a30-4f1c-80da-6432a245a64f.json
new file mode 100644
index 000000000..6c7c5b9aa
--- /dev/null
+++ b/data/hfopenllm_v2/DeepMount00/Lexora-Lite-3B_v2/9de2e564-3a30-4f1c-80da-6432a245a64f.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/DeepMount00_Lexora-Lite-3B_v2/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Lexora-Lite-3B_v2",
+    "id": "DeepMount00/Lexora-Lite-3B_v2",
+    "developer": "DeepMount00",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 3.086
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4943
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4812
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2281
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.271
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3822
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3544
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DeepMount00/Lexora-Lite-3B_v2/bf38278f-6375-41a6-9744-04fb4a32ed72.json b/data/hfopenllm_v2/DeepMount00/Lexora-Lite-3B_v2/bf38278f-6375-41a6-9744-04fb4a32ed72.json
deleted file mode 100644
index 2e21df44d..000000000
--- a/data/hfopenllm_v2/DeepMount00/Lexora-Lite-3B_v2/bf38278f-6375-41a6-9744-04fb4a32ed72.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/DeepMount00_Lexora-Lite-3B_v2/1762652579.550789",
-  "retrieved_timestamp": "1762652579.550789",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "DeepMount00/Lexora-Lite-3B_v2",
-    "developer": "DeepMount00",
-    "inference_platform": "unknown",
-    "id": "DeepMount00/Lexora-Lite-3B_v2",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 3.086
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.49431840848947456
-      }
-    },
-    {
-      "evaluation_name": "BBH",
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-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.48117654754683153
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2280966767371601
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2709731543624161
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.38215625
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.35438829787234044
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/DeepMount00/Lexora-Medium-7B/cc8f594a-e2f7-49e3-8654-57f1b397797f.json b/data/hfopenllm_v2/DeepMount00/Lexora-Medium-7B/cc8f594a-e2f7-49e3-8654-57f1b397797f.json
deleted file mode 100644
index df672c1ee..000000000
--- a/data/hfopenllm_v2/DeepMount00/Lexora-Medium-7B/cc8f594a-e2f7-49e3-8654-57f1b397797f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/DeepMount00_Lexora-Medium-7B/1762652579.551008",
-  "retrieved_timestamp": "1762652579.551009",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "DeepMount00/Lexora-Medium-7B",
-    "developer": "DeepMount00",
-    "inference_platform": "unknown",
-    "id": "DeepMount00/Lexora-Medium-7B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.616
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "BBH",
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-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5144844494250328
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.22205438066465258
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3053691275167785
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.44394791666666666
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.43251329787234044
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/DeepMount00/Lexora-Medium-7B/dd5aaa3f-b24b-4a5b-852b-b80f4a6bf366.json b/data/hfopenllm_v2/DeepMount00/Lexora-Medium-7B/dd5aaa3f-b24b-4a5b-852b-b80f4a6bf366.json
new file mode 100644
index 000000000..65cb6dbf1
--- /dev/null
+++ b/data/hfopenllm_v2/DeepMount00/Lexora-Medium-7B/dd5aaa3f-b24b-4a5b-852b-b80f4a6bf366.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/DeepMount00_Lexora-Medium-7B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Lexora-Medium-7B",
+    "id": "DeepMount00/Lexora-Medium-7B",
+    "developer": "DeepMount00",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4103
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5145
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2221
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3054
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4439
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4325
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DeepMount00/Llama-3-8b-Ita/8d8b9fd2-43f6-4edc-8340-44d20824a7e7.json b/data/hfopenllm_v2/DeepMount00/Llama-3-8b-Ita/8d8b9fd2-43f6-4edc-8340-44d20824a7e7.json
new file mode 100644
index 000000000..c5cf4ed7b
--- /dev/null
+++ b/data/hfopenllm_v2/DeepMount00/Llama-3-8b-Ita/8d8b9fd2-43f6-4edc-8340-44d20824a7e7.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/DeepMount00_Llama-3-8b-Ita/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-3-8b-Ita",
+    "id": "DeepMount00/Llama-3-8b-Ita",
+    "developer": "DeepMount00",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.753
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4936
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0665
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3054
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4268
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3852
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DeepMount00/Llama-3.1-8b-ITA/7fe45c20-a2c0-4acf-9425-651a1ec3b0d0.json b/data/hfopenllm_v2/DeepMount00/Llama-3.1-8b-ITA/7fe45c20-a2c0-4acf-9425-651a1ec3b0d0.json
new file mode 100644
index 000000000..3e1809697
--- /dev/null
+++ b/data/hfopenllm_v2/DeepMount00/Llama-3.1-8b-ITA/7fe45c20-a2c0-4acf-9425-651a1ec3b0d0.json
@@ -0,0 +1,132 @@
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diff --git a/data/hfopenllm_v2/DeepMount00/Llama-3.1-8b-ITA/baf93ef6-56f3-4809-93f6-32dcf4730388.json b/data/hfopenllm_v2/DeepMount00/Llama-3.1-8b-ITA/baf93ef6-56f3-4809-93f6-32dcf4730388.json
new file mode 100644
index 000000000..3d7b72221
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new file mode 100644
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diff --git a/data/hfopenllm_v2/DeepMount00/Qwen2-1.5B-Ita/97766a7f-cf5b-46ae-b51e-5c5702ae000b.json b/data/hfopenllm_v2/DeepMount00/Qwen2-1.5B-Ita/97766a7f-cf5b-46ae-b51e-5c5702ae000b.json
new file mode 100644
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diff --git a/data/hfopenllm_v2/DeepMount00/Qwen2-1.5B-Ita_v2/d5cd2a1b-3def-4b33-a8fe-4b02e090db27.json b/data/hfopenllm_v2/DeepMount00/Qwen2-1.5B-Ita_v2/d5cd2a1b-3def-4b33-a8fe-4b02e090db27.json
new file mode 100644
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+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3032
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DeepMount00/Qwen2-1.5B-Ita_v3/275d4bf0-566c-4b50-86b9-38c7f45df143.json b/data/hfopenllm_v2/DeepMount00/Qwen2-1.5B-Ita_v3/275d4bf0-566c-4b50-86b9-38c7f45df143.json
new file mode 100644
index 000000000..4d8e80e4f
--- /dev/null
+++ b/data/hfopenllm_v2/DeepMount00/Qwen2-1.5B-Ita_v3/275d4bf0-566c-4b50-86b9-38c7f45df143.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/DeepMount00_Qwen2-1.5B-Ita_v3/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2-1.5B-Ita_v3",
+    "id": "DeepMount00/Qwen2-1.5B-Ita_v3",
+    "developer": "DeepMount00",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 1.544
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.489
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3948
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1042
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3742
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3018
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DeepMount00/Qwen2-1.5B-Ita_v5/aa504db9-81f3-424f-b7d9-683ebe31f5d8.json b/data/hfopenllm_v2/DeepMount00/Qwen2-1.5B-Ita_v5/aa504db9-81f3-424f-b7d9-683ebe31f5d8.json
new file mode 100644
index 000000000..d9344d807
--- /dev/null
+++ b/data/hfopenllm_v2/DeepMount00/Qwen2-1.5B-Ita_v5/aa504db9-81f3-424f-b7d9-683ebe31f5d8.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/DeepMount00_Qwen2-1.5B-Ita_v5/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2-1.5B-Ita_v5",
+    "id": "DeepMount00/Qwen2-1.5B-Ita_v5",
+    "developer": "DeepMount00",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 1.544
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4987
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4032
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1178
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2542
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3422
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2943
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DeepMount00/Qwen2-1.5B-Ita_v6/2cc209b7-ef10-435d-a840-b904ab741491.json b/data/hfopenllm_v2/DeepMount00/Qwen2-1.5B-Ita_v6/2cc209b7-ef10-435d-a840-b904ab741491.json
new file mode 100644
index 000000000..a299046f1
--- /dev/null
+++ b/data/hfopenllm_v2/DeepMount00/Qwen2-1.5B-Ita_v6/2cc209b7-ef10-435d-a840-b904ab741491.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/DeepMount00_Qwen2-1.5B-Ita_v6/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2-1.5B-Ita_v6",
+    "id": "DeepMount00/Qwen2-1.5B-Ita_v6",
+    "developer": "DeepMount00",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 1.497
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2999
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4249
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0846
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2827
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3755
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2872
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DeepMount00/Qwen2.5-7B-Instruct-MathCoder/9b9390ac-fd65-4a58-9834-5352aa340cdc.json b/data/hfopenllm_v2/DeepMount00/Qwen2.5-7B-Instruct-MathCoder/9b9390ac-fd65-4a58-9834-5352aa340cdc.json
new file mode 100644
index 000000000..b0e72b4e2
--- /dev/null
+++ b/data/hfopenllm_v2/DeepMount00/Qwen2.5-7B-Instruct-MathCoder/9b9390ac-fd65-4a58-9834-5352aa340cdc.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/DeepMount00_Qwen2.5-7B-Instruct-MathCoder/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-7B-Instruct-MathCoder",
+    "id": "DeepMount00/Qwen2.5-7B-Instruct-MathCoder",
+    "developer": "DeepMount00",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.153
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2998
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0008
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2626
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3806
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1118
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DeepMount00/Qwen2.5-7B-Instruct-MathCoder/ea1a36fb-66c0-4b1a-bdac-7ec2602a7c65.json b/data/hfopenllm_v2/DeepMount00/Qwen2.5-7B-Instruct-MathCoder/ea1a36fb-66c0-4b1a-bdac-7ec2602a7c65.json
deleted file mode 100644
index 1df519897..000000000
--- a/data/hfopenllm_v2/DeepMount00/Qwen2.5-7B-Instruct-MathCoder/ea1a36fb-66c0-4b1a-bdac-7ec2602a7c65.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/DeepMount00_Qwen2.5-7B-Instruct-MathCoder/1762652579.55323",
-  "retrieved_timestamp": "1762652579.553231",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "DeepMount00/Qwen2.5-7B-Instruct-MathCoder",
-    "developer": "DeepMount00",
-    "inference_platform": "unknown",
-    "id": "DeepMount00/Qwen2.5-7B-Instruct-MathCoder",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.616
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.15302508455342934
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2998444769655102
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.0007552870090634441
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
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diff --git a/data/hfopenllm_v2/DeepMount00/mergekit-ties-okvgjfz/34350829-d42d-4e67-b23f-171044428c1f.json b/data/hfopenllm_v2/DeepMount00/mergekit-ties-okvgjfz/34350829-d42d-4e67-b23f-171044428c1f.json
deleted file mode 100644
index 50ccd99ad..000000000
--- a/data/hfopenllm_v2/DeepMount00/mergekit-ties-okvgjfz/34350829-d42d-4e67-b23f-171044428c1f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-    "evaluator_relationship": "third_party",
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-    "developer": "DeepMount00",
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-    "id": "DeepMount00/mergekit-ties-okvgjfz",
-    "additional_details": {
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-        "lower_is_better": false,
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diff --git a/data/hfopenllm_v2/DeepMount00/mergekit-ties-okvgjfz/4efe5cd4-6b8a-4951-a63a-4c7dc390bbec.json b/data/hfopenllm_v2/DeepMount00/mergekit-ties-okvgjfz/4efe5cd4-6b8a-4951-a63a-4c7dc390bbec.json
new file mode 100644
index 000000000..9daeaca32
--- /dev/null
+++ b/data/hfopenllm_v2/DeepMount00/mergekit-ties-okvgjfz/4efe5cd4-6b8a-4951-a63a-4c7dc390bbec.json
@@ -0,0 +1,132 @@
+{
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+  "evaluation_id": "hfopenllm_v2/DeepMount00_mergekit-ties-okvgjfz/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "mergekit-ties-okvgjfz",
+    "id": "DeepMount00/mergekit-ties-okvgjfz",
+    "developer": "DeepMount00",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+        "score": 0.153
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+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2998
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+    },
+    {
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+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3806
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1118
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Delta-Vector/Baldur-8B/4bc5a0db-1c88-4c61-9343-1d340305ecc5.json b/data/hfopenllm_v2/Delta-Vector/Baldur-8B/4bc5a0db-1c88-4c61-9343-1d340305ecc5.json
new file mode 100644
index 000000000..4eaef8e92
--- /dev/null
+++ b/data/hfopenllm_v2/Delta-Vector/Baldur-8B/4bc5a0db-1c88-4c61-9343-1d340305ecc5.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Delta-Vector_Baldur-8B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Baldur-8B",
+    "id": "Delta-Vector/Baldur-8B",
+    "developer": "Delta-Vector",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.0
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4782
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+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5306
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1435
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.302
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4372
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3654
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Delta-Vector/Baldur-8B/6267c5c6-abd3-4eb0-94ca-5c569414e7a9.json b/data/hfopenllm_v2/Delta-Vector/Baldur-8B/6267c5c6-abd3-4eb0-94ca-5c569414e7a9.json
deleted file mode 100644
index e19464978..000000000
--- a/data/hfopenllm_v2/Delta-Vector/Baldur-8B/6267c5c6-abd3-4eb0-94ca-5c569414e7a9.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/Delta-Vector_Baldur-8B/1762652579.5538838",
-  "retrieved_timestamp": "1762652579.553885",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Delta-Vector/Baldur-8B",
-    "developer": "Delta-Vector",
-    "inference_platform": "unknown",
-    "id": "Delta-Vector/Baldur-8B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.0
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-        "score_type": "continuous",
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-        "max_score": 1
-      },
-      "score_details": {
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-    {
-      "evaluation_name": "MATH Level 5",
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-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
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-    {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.43715624999999997
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3654421542553192
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Delta-Vector/Control-8B-V1.1/20796a87-8691-44b9-9b60-85ad3c7f4b7b.json b/data/hfopenllm_v2/Delta-Vector/Control-8B-V1.1/20796a87-8691-44b9-9b60-85ad3c7f4b7b.json
deleted file mode 100644
index e59ce6104..000000000
--- a/data/hfopenllm_v2/Delta-Vector/Control-8B-V1.1/20796a87-8691-44b9-9b60-85ad3c7f4b7b.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Delta-Vector_Control-8B-V1.1/1762652579.5543838",
-  "retrieved_timestamp": "1762652579.554385",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Delta-Vector/Control-8B-V1.1",
-    "developer": "Delta-Vector",
-    "inference_platform": "unknown",
-    "id": "Delta-Vector/Control-8B-V1.1",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    {
-      "evaluation_name": "MATH Level 5",
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "GPQA",
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-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3070469798657718
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42372916666666666
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37450132978723405
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Delta-Vector/Control-8B-V1.1/74527f51-dcec-4b82-8ba8-075c933404f5.json b/data/hfopenllm_v2/Delta-Vector/Control-8B-V1.1/74527f51-dcec-4b82-8ba8-075c933404f5.json
new file mode 100644
index 000000000..5f8e589b6
--- /dev/null
+++ b/data/hfopenllm_v2/Delta-Vector/Control-8B-V1.1/74527f51-dcec-4b82-8ba8-075c933404f5.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Delta-Vector_Control-8B-V1.1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Control-8B-V1.1",
+    "id": "Delta-Vector/Control-8B-V1.1",
+    "developer": "Delta-Vector",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5697
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4993
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1276
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.307
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4237
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3745
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Delta-Vector/Control-8B/26dc4843-56a7-45b5-a61a-386e260574a2.json b/data/hfopenllm_v2/Delta-Vector/Control-8B/26dc4843-56a7-45b5-a61a-386e260574a2.json
deleted file mode 100644
index c1f89d015..000000000
--- a/data/hfopenllm_v2/Delta-Vector/Control-8B/26dc4843-56a7-45b5-a61a-386e260574a2.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Delta-Vector_Control-8B/1762652579.554166",
-  "retrieved_timestamp": "1762652579.554166",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Delta-Vector/Control-8B",
-    "developer": "Delta-Vector",
-    "inference_platform": "unknown",
-    "id": "Delta-Vector/Control-8B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5489733906035985
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5041458754993735
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.13897280966767372
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3162751677852349
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.43554166666666666
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3731715425531915
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Delta-Vector/Control-8B/ac31bc90-3854-4d38-925d-ef8dc7e75d24.json b/data/hfopenllm_v2/Delta-Vector/Control-8B/ac31bc90-3854-4d38-925d-ef8dc7e75d24.json
new file mode 100644
index 000000000..e9f8fccf8
--- /dev/null
+++ b/data/hfopenllm_v2/Delta-Vector/Control-8B/ac31bc90-3854-4d38-925d-ef8dc7e75d24.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Delta-Vector_Control-8B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Control-8B",
+    "id": "Delta-Vector/Control-8B",
+    "developer": "Delta-Vector",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.549
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5041
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.139
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3163
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4355
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3732
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Delta-Vector/Darkens-8B/88583cff-1adc-4b1b-8e68-07f0074d0ae2.json b/data/hfopenllm_v2/Delta-Vector/Darkens-8B/88583cff-1adc-4b1b-8e68-07f0074d0ae2.json
new file mode 100644
index 000000000..da2477729
--- /dev/null
+++ b/data/hfopenllm_v2/Delta-Vector/Darkens-8B/88583cff-1adc-4b1b-8e68-07f0074d0ae2.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Delta-Vector_Darkens-8B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Darkens-8B",
+    "id": "Delta-Vector/Darkens-8B",
+    "developer": "Delta-Vector",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 8.414
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2548
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5251
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0589
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3247
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4106
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3736
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Delta-Vector/Darkens-8B/a1689935-8ccb-49a8-8c2a-8dbf32b7ac02.json b/data/hfopenllm_v2/Delta-Vector/Darkens-8B/a1689935-8ccb-49a8-8c2a-8dbf32b7ac02.json
deleted file mode 100644
index f5395d084..000000000
--- a/data/hfopenllm_v2/Delta-Vector/Darkens-8B/a1689935-8ccb-49a8-8c2a-8dbf32b7ac02.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Delta-Vector_Darkens-8B/1762652579.5545971",
-  "retrieved_timestamp": "1762652579.5545971",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Delta-Vector/Darkens-8B",
-    "developer": "Delta-Vector",
-    "inference_platform": "unknown",
-    "id": "Delta-Vector/Darkens-8B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 8.414
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.25476624245889795
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5250590567372793
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.05891238670694864
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.32466442953020136
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4105520833333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3735871010638298
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Delta-Vector/Henbane-7b-attempt2/73f9a017-15ac-42e6-9600-69b411de4086.json b/data/hfopenllm_v2/Delta-Vector/Henbane-7b-attempt2/73f9a017-15ac-42e6-9600-69b411de4086.json
deleted file mode 100644
index 439ab555c..000000000
--- a/data/hfopenllm_v2/Delta-Vector/Henbane-7b-attempt2/73f9a017-15ac-42e6-9600-69b411de4086.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Delta-Vector_Henbane-7b-attempt2/1762652579.55481",
-  "retrieved_timestamp": "1762652579.55481",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Delta-Vector/Henbane-7b-attempt2",
-    "developer": "Delta-Vector",
-    "inference_platform": "unknown",
-    "id": "Delta-Vector/Henbane-7b-attempt2",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.0
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
-        "score": 0.22734138972809667
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-    },
-    {
-      "evaluation_name": "GPQA",
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-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
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-        "max_score": 1
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-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.39734375000000005
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4027593085106383
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Delta-Vector/Henbane-7b-attempt2/fadbac9e-7224-41d1-abfa-7039cbcba9f6.json b/data/hfopenllm_v2/Delta-Vector/Henbane-7b-attempt2/fadbac9e-7224-41d1-abfa-7039cbcba9f6.json
new file mode 100644
index 000000000..18bdc7508
--- /dev/null
+++ b/data/hfopenllm_v2/Delta-Vector/Henbane-7b-attempt2/fadbac9e-7224-41d1-abfa-7039cbcba9f6.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Delta-Vector_Henbane-7b-attempt2/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Henbane-7b-attempt2",
+    "id": "Delta-Vector/Henbane-7b-attempt2",
+    "developer": "Delta-Vector",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.0
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4157
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5061
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2273
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2903
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3973
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4028
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Delta-Vector/Odin-9B/1fb90540-0fa0-44ca-ad67-1e3503f6b729.json b/data/hfopenllm_v2/Delta-Vector/Odin-9B/1fb90540-0fa0-44ca-ad67-1e3503f6b729.json
new file mode 100644
index 000000000..e6b6d563d
--- /dev/null
+++ b/data/hfopenllm_v2/Delta-Vector/Odin-9B/1fb90540-0fa0-44ca-ad67-1e3503f6b729.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Delta-Vector_Odin-9B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Odin-9B",
+    "id": "Delta-Vector/Odin-9B",
+    "developer": "Delta-Vector",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Gemma2ForCausalLM",
+      "params_billions": 9.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3692
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.544
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.145
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3414
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4648
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4047
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Delta-Vector/Odin-9B/586d4e20-c1f4-466a-8488-07ac18ad6253.json b/data/hfopenllm_v2/Delta-Vector/Odin-9B/586d4e20-c1f4-466a-8488-07ac18ad6253.json
deleted file mode 100644
index 84fcf9dd3..000000000
--- a/data/hfopenllm_v2/Delta-Vector/Odin-9B/586d4e20-c1f4-466a-8488-07ac18ad6253.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Delta-Vector_Odin-9B/1762652579.555037",
-  "retrieved_timestamp": "1762652579.555038",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Delta-Vector/Odin-9B",
-    "developer": "Delta-Vector",
-    "inference_platform": "unknown",
-    "id": "Delta-Vector/Odin-9B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Gemma2ForCausalLM",
-      "params_billions": 9.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3691970637907419
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5440253444823155
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.14501510574018128
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3414429530201342
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.46478125
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4046708776595745
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Delta-Vector/Tor-8B/047784e2-c1ee-40d9-a60d-e43504825801.json b/data/hfopenllm_v2/Delta-Vector/Tor-8B/047784e2-c1ee-40d9-a60d-e43504825801.json
new file mode 100644
index 000000000..226245e5e
--- /dev/null
+++ b/data/hfopenllm_v2/Delta-Vector/Tor-8B/047784e2-c1ee-40d9-a60d-e43504825801.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Delta-Vector_Tor-8B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Tor-8B",
+    "id": "Delta-Vector/Tor-8B",
+    "developer": "Delta-Vector",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 8.414
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2382
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5209
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0589
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3238
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4092
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.373
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Delta-Vector/Tor-8B/ce7e8e58-e323-4704-b6f3-7fa6c5c3b7f2.json b/data/hfopenllm_v2/Delta-Vector/Tor-8B/ce7e8e58-e323-4704-b6f3-7fa6c5c3b7f2.json
deleted file mode 100644
index 42791ce57..000000000
--- a/data/hfopenllm_v2/Delta-Vector/Tor-8B/ce7e8e58-e323-4704-b6f3-7fa6c5c3b7f2.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Delta-Vector_Tor-8B/1762652579.555239",
-  "retrieved_timestamp": "1762652579.55524",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Delta-Vector/Tor-8B",
-    "developer": "Delta-Vector",
-    "inference_platform": "unknown",
-    "id": "Delta-Vector/Tor-8B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 8.414
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.23815476269631244
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5209108776928992
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.05891238670694864
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
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new file mode 100644
index 000000000..0c6a93423
--- /dev/null
+++ b/data/hfopenllm_v2/DevQuasar/DevQuasar-R1-Uncensored-Llama-8B/ee60453d-2d51-46f7-8a18-c651d590f0e7.json
@@ -0,0 +1,132 @@
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/Dongwei/DeepSeek-R1-Distill-Qwen-7B-GRPO/b0ac4b11-f7b4-4753-baae-310a92f08259.json b/data/hfopenllm_v2/Dongwei/DeepSeek-R1-Distill-Qwen-7B-GRPO/b0ac4b11-f7b4-4753-baae-310a92f08259.json
new file mode 100644
index 000000000..c68c27f32
--- /dev/null
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@@ -0,0 +1,132 @@
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+  "retrieved_timestamp": "1770682486.623709",
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+    "id": "Dongwei/DeepSeek-R1-Distill-Qwen-7B-GRPO",
+    "developer": "Dongwei",
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+  "evaluation_results": [
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/DoppelReflEx/L3-8B-R1-WolfCore-V1.5-test/324db8b3-38c7-4a2c-82e8-7bebfa38e760.json b/data/hfopenllm_v2/DoppelReflEx/L3-8B-R1-WolfCore-V1.5-test/324db8b3-38c7-4a2c-82e8-7bebfa38e760.json
new file mode 100644
index 000000000..735b5e369
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@@ -0,0 +1,132 @@
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DoppelReflEx/L3-8B-R1-WolfCore-V1.5-test/3c4058cd-238b-4b01-870d-8693f5ce1b8f.json b/data/hfopenllm_v2/DoppelReflEx/L3-8B-R1-WolfCore-V1.5-test/3c4058cd-238b-4b01-870d-8693f5ce1b8f.json
deleted file mode 100644
index 0f91665f5..000000000
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+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/DoppelReflEx/L3-8B-R1-WolfCore/54dd9033-61b9-4f26-9cde-e04c7136524b.json b/data/hfopenllm_v2/DoppelReflEx/L3-8B-R1-WolfCore/54dd9033-61b9-4f26-9cde-e04c7136524b.json
new file mode 100644
index 000000000..806bf87b7
--- /dev/null
+++ b/data/hfopenllm_v2/DoppelReflEx/L3-8B-R1-WolfCore/54dd9033-61b9-4f26-9cde-e04c7136524b.json
@@ -0,0 +1,132 @@
+{
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+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
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+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
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+  "model_info": {
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+    "id": "DoppelReflEx/L3-8B-R1-WolfCore",
+    "developer": "DoppelReflEx",
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+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/DoppelReflEx/L3-8B-R1-WolfCore/6d8d63c0-ad69-4224-8250-b1664f6abbcf.json b/data/hfopenllm_v2/DoppelReflEx/L3-8B-R1-WolfCore/6d8d63c0-ad69-4224-8250-b1664f6abbcf.json
deleted file mode 100644
index 12b2bb198..000000000
--- a/data/hfopenllm_v2/DoppelReflEx/L3-8B-R1-WolfCore/6d8d63c0-ad69-4224-8250-b1664f6abbcf.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/DoppelReflEx/L3-8B-WolfCore/c6771d5c-acaf-4b17-96b4-abf3b75bc68f.json b/data/hfopenllm_v2/DoppelReflEx/L3-8B-WolfCore/c6771d5c-acaf-4b17-96b4-abf3b75bc68f.json
deleted file mode 100644
index b1bec9b9f..000000000
--- a/data/hfopenllm_v2/DoppelReflEx/L3-8B-WolfCore/c6771d5c-acaf-4b17-96b4-abf3b75bc68f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/DoppelReflEx/L3-8B-WolfCore/d0973d6c-373c-41cd-9e62-52470c044dac.json b/data/hfopenllm_v2/DoppelReflEx/L3-8B-WolfCore/d0973d6c-373c-41cd-9e62-52470c044dac.json
new file mode 100644
index 000000000..1553f5b9c
--- /dev/null
+++ b/data/hfopenllm_v2/DoppelReflEx/L3-8B-WolfCore/d0973d6c-373c-41cd-9e62-52470c044dac.json
@@ -0,0 +1,132 @@
+{
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+    "source_type": "documentation",
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+    "developer": "DoppelReflEx",
+    "inference_platform": "unknown",
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+        "source_type": "hf_dataset",
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+      },
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+      "source_data": {
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+        "hf_repo": "SaylorTwift/bbh"
+      },
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+        "evaluation_description": "Accuracy on BBH",
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
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+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DoppelReflEx/MN-12B-FoxFrame-test/da15da67-b316-4c2e-86a5-c1f88eece9cb.json b/data/hfopenllm_v2/DoppelReflEx/MN-12B-FoxFrame-test/da15da67-b316-4c2e-86a5-c1f88eece9cb.json
new file mode 100644
index 000000000..49166bb43
--- /dev/null
+++ b/data/hfopenllm_v2/DoppelReflEx/MN-12B-FoxFrame-test/da15da67-b316-4c2e-86a5-c1f88eece9cb.json
@@ -0,0 +1,132 @@
+{
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+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "MN-12B-FoxFrame-test",
+    "id": "DoppelReflEx/MN-12B-FoxFrame-test",
+    "developer": "DoppelReflEx",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
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+  "evaluation_results": [
+    {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
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+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+    },
+    {
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+      "source_data": {
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+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
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+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DoppelReflEx/MN-12B-FoxFrame-test/ef5bb4eb-0875-4cc5-8e27-b59ffbd2e477.json b/data/hfopenllm_v2/DoppelReflEx/MN-12B-FoxFrame-test/ef5bb4eb-0875-4cc5-8e27-b59ffbd2e477.json
deleted file mode 100644
index cc91284f6..000000000
--- a/data/hfopenllm_v2/DoppelReflEx/MN-12B-FoxFrame-test/ef5bb4eb-0875-4cc5-8e27-b59ffbd2e477.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-    "source_name": "HF Open LLM v2",
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new file mode 100644
index 000000000..b9e5d4976
--- /dev/null
+++ b/data/hfopenllm_v2/DoppelReflEx/MN-12B-FoxFrame2-test/b0c34174-bfd0-4556-a3bf-92ec0ddf5ec4.json
@@ -0,0 +1,132 @@
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+  "source_metadata": {
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+    "source_type": "documentation",
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+  "model_info": {
+    "name": "MN-12B-FoxFrame2-test",
+    "id": "DoppelReflEx/MN-12B-FoxFrame2-test",
+    "developer": "DoppelReflEx",
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DoppelReflEx/MN-12B-FoxFrame2-test/e46698de-8b2d-4b3c-b482-8cc8a3665eac.json b/data/hfopenllm_v2/DoppelReflEx/MN-12B-FoxFrame2-test/e46698de-8b2d-4b3c-b482-8cc8a3665eac.json
deleted file mode 100644
index 5bce8409c..000000000
--- a/data/hfopenllm_v2/DoppelReflEx/MN-12B-FoxFrame2-test/e46698de-8b2d-4b3c-b482-8cc8a3665eac.json
+++ /dev/null
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deleted file mode 100644
index f9d1bb765..000000000
--- a/data/hfopenllm_v2/DoppelReflEx/MN-12B-FoxFrame3-test/35351894-ea9d-456b-ab9a-c98686948e6b.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/DoppelReflEx/MN-12B-FoxFrame3-test/bce7b15d-1670-46db-bdff-24fb38bc3fd9.json b/data/hfopenllm_v2/DoppelReflEx/MN-12B-FoxFrame3-test/bce7b15d-1670-46db-bdff-24fb38bc3fd9.json
new file mode 100644
index 000000000..9a33bd885
--- /dev/null
+++ b/data/hfopenllm_v2/DoppelReflEx/MN-12B-FoxFrame3-test/bce7b15d-1670-46db-bdff-24fb38bc3fd9.json
@@ -0,0 +1,132 @@
+{
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+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
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+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
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+    "name": "MN-12B-FoxFrame3-test",
+    "id": "DoppelReflEx/MN-12B-FoxFrame3-test",
+    "developer": "DoppelReflEx",
+    "inference_platform": "unknown",
+    "additional_details": {
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+        "hf_repo": "SaylorTwift/bbh"
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+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
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+    },
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+        "hf_repo": "TAUR-Lab/MuSR"
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
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+      "metric_config": {
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+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DoppelReflEx/MN-12B-Kakigori/15e5e02f-27b9-4063-b601-42c2b17180f9.json b/data/hfopenllm_v2/DoppelReflEx/MN-12B-Kakigori/15e5e02f-27b9-4063-b601-42c2b17180f9.json
new file mode 100644
index 000000000..14634831b
--- /dev/null
+++ b/data/hfopenllm_v2/DoppelReflEx/MN-12B-Kakigori/15e5e02f-27b9-4063-b601-42c2b17180f9.json
@@ -0,0 +1,132 @@
+{
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+    "inference_platform": "unknown",
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+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DoppelReflEx/MN-12B-Kakigori/2f19082b-8377-4f63-8c5f-1aa25071a240.json b/data/hfopenllm_v2/DoppelReflEx/MN-12B-Kakigori/2f19082b-8377-4f63-8c5f-1aa25071a240.json
deleted file mode 100644
index 5dbffaa15..000000000
--- a/data/hfopenllm_v2/DoppelReflEx/MN-12B-Kakigori/2f19082b-8377-4f63-8c5f-1aa25071a240.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
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-    "developer": "DoppelReflEx",
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-    "id": "DoppelReflEx/MN-12B-Kakigori",
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-        "score_type": "continuous",
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diff --git a/data/hfopenllm_v2/DoppelReflEx/MN-12B-LilithFrame-Experiment-2/51b0c546-0dde-4668-a8b8-3b9753a31aa0.json b/data/hfopenllm_v2/DoppelReflEx/MN-12B-LilithFrame-Experiment-2/51b0c546-0dde-4668-a8b8-3b9753a31aa0.json
new file mode 100644
index 000000000..91323e70b
--- /dev/null
+++ b/data/hfopenllm_v2/DoppelReflEx/MN-12B-LilithFrame-Experiment-2/51b0c546-0dde-4668-a8b8-3b9753a31aa0.json
@@ -0,0 +1,132 @@
+{
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+  "evaluation_id": "hfopenllm_v2/DoppelReflEx_MN-12B-LilithFrame-Experiment-2/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "MN-12B-LilithFrame-Experiment-2",
+    "id": "DoppelReflEx/MN-12B-LilithFrame-Experiment-2",
+    "developer": "DoppelReflEx",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 12.248
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4299
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4983
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1073
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3255
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3804
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3276
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DoppelReflEx/MN-12B-LilithFrame-Experiment-2/630c100f-c88d-42a7-9614-bd9a958eab2b.json b/data/hfopenllm_v2/DoppelReflEx/MN-12B-LilithFrame-Experiment-2/630c100f-c88d-42a7-9614-bd9a958eab2b.json
deleted file mode 100644
index 95574cd7b..000000000
--- a/data/hfopenllm_v2/DoppelReflEx/MN-12B-LilithFrame-Experiment-2/630c100f-c88d-42a7-9614-bd9a958eab2b.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-    "developer": "DoppelReflEx",
-    "inference_platform": "unknown",
-    "id": "DoppelReflEx/MN-12B-LilithFrame-Experiment-2",
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diff --git a/data/hfopenllm_v2/DoppelReflEx/MN-12B-LilithFrame-Experiment-3/37292ca7-9e82-4c80-bc6e-bc7e1be7a95e.json b/data/hfopenllm_v2/DoppelReflEx/MN-12B-LilithFrame-Experiment-3/37292ca7-9e82-4c80-bc6e-bc7e1be7a95e.json
deleted file mode 100644
index 908836600..000000000
--- a/data/hfopenllm_v2/DoppelReflEx/MN-12B-LilithFrame-Experiment-3/37292ca7-9e82-4c80-bc6e-bc7e1be7a95e.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-    "developer": "DoppelReflEx",
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-    "id": "DoppelReflEx/MN-12B-LilithFrame-Experiment-3",
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diff --git a/data/hfopenllm_v2/DoppelReflEx/MN-12B-LilithFrame-Experiment-3/45842b1c-cf68-44a7-928f-2da454cdd13f.json b/data/hfopenllm_v2/DoppelReflEx/MN-12B-LilithFrame-Experiment-3/45842b1c-cf68-44a7-928f-2da454cdd13f.json
new file mode 100644
index 000000000..e8a0610db
--- /dev/null
+++ b/data/hfopenllm_v2/DoppelReflEx/MN-12B-LilithFrame-Experiment-3/45842b1c-cf68-44a7-928f-2da454cdd13f.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/DoppelReflEx_MN-12B-LilithFrame-Experiment-3/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "MN-12B-LilithFrame-Experiment-3",
+    "id": "DoppelReflEx/MN-12B-LilithFrame-Experiment-3",
+    "developer": "DoppelReflEx",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 12.248
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4128
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+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5468
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1344
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.328
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4039
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3604
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+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DoppelReflEx/MN-12B-LilithFrame-Experiment-4/c15cdefd-dbe3-432e-aab0-3c43540cd320.json b/data/hfopenllm_v2/DoppelReflEx/MN-12B-LilithFrame-Experiment-4/c15cdefd-dbe3-432e-aab0-3c43540cd320.json
new file mode 100644
index 000000000..61d3a73e2
--- /dev/null
+++ b/data/hfopenllm_v2/DoppelReflEx/MN-12B-LilithFrame-Experiment-4/c15cdefd-dbe3-432e-aab0-3c43540cd320.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/DoppelReflEx_MN-12B-LilithFrame-Experiment-4/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "MN-12B-LilithFrame-Experiment-4",
+    "id": "DoppelReflEx/MN-12B-LilithFrame-Experiment-4",
+    "developer": "DoppelReflEx",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 12.248
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3981
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5534
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1224
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3171
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4371
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3649
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DoppelReflEx/MN-12B-LilithFrame-Experiment-4/ecc18f9c-c495-4ae6-8fd8-b2f84fb453ac.json b/data/hfopenllm_v2/DoppelReflEx/MN-12B-LilithFrame-Experiment-4/ecc18f9c-c495-4ae6-8fd8-b2f84fb453ac.json
deleted file mode 100644
index 4ec203b1b..000000000
--- a/data/hfopenllm_v2/DoppelReflEx/MN-12B-LilithFrame-Experiment-4/ecc18f9c-c495-4ae6-8fd8-b2f84fb453ac.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/DoppelReflEx_MN-12B-LilithFrame-Experiment-4/1762652579.5582879",
-  "retrieved_timestamp": "1762652579.5582888",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "DoppelReflEx/MN-12B-LilithFrame-Experiment-4",
-    "developer": "DoppelReflEx",
-    "inference_platform": "unknown",
-    "id": "DoppelReflEx/MN-12B-LilithFrame-Experiment-4",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 12.248
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3981480250180632
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5534370722864824
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.12235649546827794
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.31711409395973156
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.43706249999999996
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3648603723404255
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/DoppelReflEx/MN-12B-LilithFrame/1f489afa-a01d-40f3-836a-9e386c502d1d.json b/data/hfopenllm_v2/DoppelReflEx/MN-12B-LilithFrame/1f489afa-a01d-40f3-836a-9e386c502d1d.json
new file mode 100644
index 000000000..87c8dd012
--- /dev/null
+++ b/data/hfopenllm_v2/DoppelReflEx/MN-12B-LilithFrame/1f489afa-a01d-40f3-836a-9e386c502d1d.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/DoppelReflEx_MN-12B-LilithFrame/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "MN-12B-LilithFrame",
+    "id": "DoppelReflEx/MN-12B-LilithFrame",
+    "developer": "DoppelReflEx",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 12.248
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.451
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4944
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1156
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3196
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3896
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3256
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DoppelReflEx/MN-12B-LilithFrame/3d68e2fb-06cc-43b9-830b-f1cd02f12166.json b/data/hfopenllm_v2/DoppelReflEx/MN-12B-LilithFrame/3d68e2fb-06cc-43b9-830b-f1cd02f12166.json
deleted file mode 100644
index f355cb9cf..000000000
--- a/data/hfopenllm_v2/DoppelReflEx/MN-12B-LilithFrame/3d68e2fb-06cc-43b9-830b-f1cd02f12166.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/DoppelReflEx_MN-12B-LilithFrame/1762652579.557674",
-  "retrieved_timestamp": "1762652579.5576751",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "DoppelReflEx/MN-12B-LilithFrame",
-    "developer": "DoppelReflEx",
-    "inference_platform": "unknown",
-    "id": "DoppelReflEx/MN-12B-LilithFrame",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 12.248
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.43604192431636946
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4956125598349656
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.05891238670694864
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.32046979865771813
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3842604166666666
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.32372007978723405
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/DoppelReflEx/MN-12B-LilithFrame/94bcc87e-eb06-4321-9b72-2f99168cf92a.json b/data/hfopenllm_v2/DoppelReflEx/MN-12B-LilithFrame/94bcc87e-eb06-4321-9b72-2f99168cf92a.json
new file mode 100644
index 000000000..8a84d871c
--- /dev/null
+++ b/data/hfopenllm_v2/DoppelReflEx/MN-12B-LilithFrame/94bcc87e-eb06-4321-9b72-2f99168cf92a.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/DoppelReflEx_MN-12B-LilithFrame/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "MN-12B-LilithFrame",
+    "id": "DoppelReflEx/MN-12B-LilithFrame",
+    "developer": "DoppelReflEx",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 12.248
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.436
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4956
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0589
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3205
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3843
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3237
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DoppelReflEx/MN-12B-LilithFrame/a04a8775-8b4d-4608-9692-47af9f7ed5a7.json b/data/hfopenllm_v2/DoppelReflEx/MN-12B-LilithFrame/a04a8775-8b4d-4608-9692-47af9f7ed5a7.json
deleted file mode 100644
index 1a023bf0d..000000000
--- a/data/hfopenllm_v2/DoppelReflEx/MN-12B-LilithFrame/a04a8775-8b4d-4608-9692-47af9f7ed5a7.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/DoppelReflEx_MN-12B-LilithFrame/1762652579.557468",
-  "retrieved_timestamp": "1762652579.557469",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "DoppelReflEx/MN-12B-LilithFrame",
-    "developer": "DoppelReflEx",
-    "inference_platform": "unknown",
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diff --git a/data/hfopenllm_v2/DoppelReflEx/MN-12B-Mimicore-GreenSnake/9b9eb072-4120-4a6a-a565-27136e617f10.json b/data/hfopenllm_v2/DoppelReflEx/MN-12B-Mimicore-GreenSnake/9b9eb072-4120-4a6a-a565-27136e617f10.json
deleted file mode 100644
index 46ca3ca27..000000000
--- a/data/hfopenllm_v2/DoppelReflEx/MN-12B-Mimicore-GreenSnake/9b9eb072-4120-4a6a-a565-27136e617f10.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/DoppelReflEx_MN-12B-Mimicore-GreenSnake/1762652579.5585039",
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-  "source_data": [
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-  "source_metadata": {
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "DoppelReflEx/MN-12B-Mimicore-GreenSnake",
-    "developer": "DoppelReflEx",
-    "inference_platform": "unknown",
-    "id": "DoppelReflEx/MN-12B-Mimicore-GreenSnake",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 12.248
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-        "lower_is_better": false,
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-        "min_score": 0,
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-      "score_details": {
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-    },
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-        "score_type": "continuous",
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-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-    {
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-        "score_type": "continuous",
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4305833333333333
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3651097074468085
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/DoppelReflEx/MN-12B-Mimicore-GreenSnake/c0bc9811-4d7c-412f-a12b-3e6eab2e5a6f.json b/data/hfopenllm_v2/DoppelReflEx/MN-12B-Mimicore-GreenSnake/c0bc9811-4d7c-412f-a12b-3e6eab2e5a6f.json
new file mode 100644
index 000000000..c66fd0b26
--- /dev/null
+++ b/data/hfopenllm_v2/DoppelReflEx/MN-12B-Mimicore-GreenSnake/c0bc9811-4d7c-412f-a12b-3e6eab2e5a6f.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/DoppelReflEx_MN-12B-Mimicore-GreenSnake/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "MN-12B-Mimicore-GreenSnake",
+    "id": "DoppelReflEx/MN-12B-Mimicore-GreenSnake",
+    "developer": "DoppelReflEx",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 12.248
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.478
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5481
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.139
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3247
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4306
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3651
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DoppelReflEx/MN-12B-Mimicore-Nocturne/6a21892f-1d11-4c59-8894-8800822b2e72.json b/data/hfopenllm_v2/DoppelReflEx/MN-12B-Mimicore-Nocturne/6a21892f-1d11-4c59-8894-8800822b2e72.json
deleted file mode 100644
index 89d912757..000000000
--- a/data/hfopenllm_v2/DoppelReflEx/MN-12B-Mimicore-Nocturne/6a21892f-1d11-4c59-8894-8800822b2e72.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "source_data": [
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "DoppelReflEx/MN-12B-Mimicore-Nocturne",
-    "developer": "DoppelReflEx",
-    "inference_platform": "unknown",
-    "id": "DoppelReflEx/MN-12B-Mimicore-Nocturne",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 12.248
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-  },
-  "evaluation_results": [
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-      "evaluation_name": "IFEval",
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
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-      },
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-    },
-    {
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-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3196308724832215
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.45690625
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.36336436170212766
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/DoppelReflEx/MN-12B-Mimicore-Nocturne/b5a8b278-69e9-41ba-89ee-8fd6b2d90a1c.json b/data/hfopenllm_v2/DoppelReflEx/MN-12B-Mimicore-Nocturne/b5a8b278-69e9-41ba-89ee-8fd6b2d90a1c.json
new file mode 100644
index 000000000..8af1a665e
--- /dev/null
+++ b/data/hfopenllm_v2/DoppelReflEx/MN-12B-Mimicore-Nocturne/b5a8b278-69e9-41ba-89ee-8fd6b2d90a1c.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/DoppelReflEx_MN-12B-Mimicore-Nocturne/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "MN-12B-Mimicore-Nocturne",
+    "id": "DoppelReflEx/MN-12B-Mimicore-Nocturne",
+    "developer": "DoppelReflEx",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 12.248
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3957
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5703
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1057
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3196
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4569
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3634
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DoppelReflEx/MN-12B-Mimicore-Orochi-v2-Experiment/a3ad7f0f-64bd-42a1-bc7d-d7d4cbbd80fd.json b/data/hfopenllm_v2/DoppelReflEx/MN-12B-Mimicore-Orochi-v2-Experiment/a3ad7f0f-64bd-42a1-bc7d-d7d4cbbd80fd.json
new file mode 100644
index 000000000..eb3e1d5ef
--- /dev/null
+++ b/data/hfopenllm_v2/DoppelReflEx/MN-12B-Mimicore-Orochi-v2-Experiment/a3ad7f0f-64bd-42a1-bc7d-d7d4cbbd80fd.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/DoppelReflEx_MN-12B-Mimicore-Orochi-v2-Experiment/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "MN-12B-Mimicore-Orochi-v2-Experiment",
+    "id": "DoppelReflEx/MN-12B-Mimicore-Orochi-v2-Experiment",
+    "developer": "DoppelReflEx",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 12.248
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2842
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5323
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
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+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
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+      },
+      "score_details": {
+        "score": 0.3423
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DoppelReflEx/MN-12B-Mimicore-Orochi-v2-Experiment/db8eedcc-1dcf-47af-9c2b-a72da97146ca.json b/data/hfopenllm_v2/DoppelReflEx/MN-12B-Mimicore-Orochi-v2-Experiment/db8eedcc-1dcf-47af-9c2b-a72da97146ca.json
deleted file mode 100644
index deb24f416..000000000
--- a/data/hfopenllm_v2/DoppelReflEx/MN-12B-Mimicore-Orochi-v2-Experiment/db8eedcc-1dcf-47af-9c2b-a72da97146ca.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "source_data": [
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
-    "name": "DoppelReflEx/MN-12B-Mimicore-Orochi-v2-Experiment",
-    "developer": "DoppelReflEx",
-    "inference_platform": "unknown",
-    "id": "DoppelReflEx/MN-12B-Mimicore-Orochi-v2-Experiment",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
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-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
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-        "min_score": 0,
-        "max_score": 1
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-        "score_type": "continuous",
-        "min_score": 0,
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-        "lower_is_better": false,
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-        "min_score": 0,
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-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
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-    }
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-}
diff --git a/data/hfopenllm_v2/DoppelReflEx/MN-12B-Mimicore-Orochi-v3-Experiment/8198ab16-4a8b-4da9-8e8a-d1e3beb02839.json b/data/hfopenllm_v2/DoppelReflEx/MN-12B-Mimicore-Orochi-v3-Experiment/8198ab16-4a8b-4da9-8e8a-d1e3beb02839.json
deleted file mode 100644
index 4e072570b..000000000
--- a/data/hfopenllm_v2/DoppelReflEx/MN-12B-Mimicore-Orochi-v3-Experiment/8198ab16-4a8b-4da9-8e8a-d1e3beb02839.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
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-  "source_metadata": {
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
-    "name": "DoppelReflEx/MN-12B-Mimicore-Orochi-v3-Experiment",
-    "developer": "DoppelReflEx",
-    "inference_platform": "unknown",
-    "id": "DoppelReflEx/MN-12B-Mimicore-Orochi-v3-Experiment",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 12.248
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-  "evaluation_results": [
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-        "lower_is_better": false,
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-        "score_type": "continuous",
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-    {
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-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.44379166666666664
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-    }
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-}
diff --git a/data/hfopenllm_v2/DoppelReflEx/MN-12B-Mimicore-Orochi-v3-Experiment/f07c3a4a-2a8e-45c4-a726-be95726df2db.json b/data/hfopenllm_v2/DoppelReflEx/MN-12B-Mimicore-Orochi-v3-Experiment/f07c3a4a-2a8e-45c4-a726-be95726df2db.json
new file mode 100644
index 000000000..368728f64
--- /dev/null
+++ b/data/hfopenllm_v2/DoppelReflEx/MN-12B-Mimicore-Orochi-v3-Experiment/f07c3a4a-2a8e-45c4-a726-be95726df2db.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/DoppelReflEx_MN-12B-Mimicore-Orochi-v3-Experiment/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "MN-12B-Mimicore-Orochi-v3-Experiment",
+    "id": "DoppelReflEx/MN-12B-Mimicore-Orochi-v3-Experiment",
+    "developer": "DoppelReflEx",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 12.248
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4102
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5438
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1216
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2928
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4438
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3396
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DoppelReflEx/MN-12B-Mimicore-Orochi-v4-Experiment/e4e71999-6f83-4745-8a9d-66e711e39ac3.json b/data/hfopenllm_v2/DoppelReflEx/MN-12B-Mimicore-Orochi-v4-Experiment/e4e71999-6f83-4745-8a9d-66e711e39ac3.json
deleted file mode 100644
index 481ca3d50..000000000
--- a/data/hfopenllm_v2/DoppelReflEx/MN-12B-Mimicore-Orochi-v4-Experiment/e4e71999-6f83-4745-8a9d-66e711e39ac3.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-    "source_type": "documentation"
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-    "developer": "DoppelReflEx",
-    "inference_platform": "unknown",
-    "id": "DoppelReflEx/MN-12B-Mimicore-Orochi-v4-Experiment",
-    "additional_details": {
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-        "max_score": 1
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-      "score_details": {
-        "score": 0.4449375
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3519780585106383
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diff --git a/data/hfopenllm_v2/DoppelReflEx/MN-12B-Mimicore-Orochi-v4-Experiment/f36d56b8-cd77-4d69-a51d-39025bcfcdfd.json b/data/hfopenllm_v2/DoppelReflEx/MN-12B-Mimicore-Orochi-v4-Experiment/f36d56b8-cd77-4d69-a51d-39025bcfcdfd.json
new file mode 100644
index 000000000..e36c363a4
--- /dev/null
+++ b/data/hfopenllm_v2/DoppelReflEx/MN-12B-Mimicore-Orochi-v4-Experiment/f36d56b8-cd77-4d69-a51d-39025bcfcdfd.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/DoppelReflEx_MN-12B-Mimicore-Orochi-v4-Experiment/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "MN-12B-Mimicore-Orochi-v4-Experiment",
+    "id": "DoppelReflEx/MN-12B-Mimicore-Orochi-v4-Experiment",
+    "developer": "DoppelReflEx",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 12.248
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4321
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+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5463
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+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3054
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4449
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DoppelReflEx/MN-12B-Mimicore-Orochi/65acabdc-ea5f-426c-820b-2b79f2b20b44.json b/data/hfopenllm_v2/DoppelReflEx/MN-12B-Mimicore-Orochi/65acabdc-ea5f-426c-820b-2b79f2b20b44.json
new file mode 100644
index 000000000..443a4c901
--- /dev/null
+++ b/data/hfopenllm_v2/DoppelReflEx/MN-12B-Mimicore-Orochi/65acabdc-ea5f-426c-820b-2b79f2b20b44.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/DoppelReflEx_MN-12B-Mimicore-Orochi/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "MN-12B-Mimicore-Orochi",
+    "id": "DoppelReflEx/MN-12B-Mimicore-Orochi",
+    "developer": "DoppelReflEx",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 12.248
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.462
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5498
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.136
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3129
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4546
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3447
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DoppelReflEx/MN-12B-Mimicore-Orochi/f1bfef73-3586-4f9d-80ca-71b0fb00aadd.json b/data/hfopenllm_v2/DoppelReflEx/MN-12B-Mimicore-Orochi/f1bfef73-3586-4f9d-80ca-71b0fb00aadd.json
deleted file mode 100644
index 654ef6b33..000000000
--- a/data/hfopenllm_v2/DoppelReflEx/MN-12B-Mimicore-Orochi/f1bfef73-3586-4f9d-80ca-71b0fb00aadd.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/DoppelReflEx_MN-12B-Mimicore-Orochi/1762652579.558937",
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-  "source_data": [
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-  "source_metadata": {
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "DoppelReflEx/MN-12B-Mimicore-Orochi",
-    "developer": "DoppelReflEx",
-    "inference_platform": "unknown",
-    "id": "DoppelReflEx/MN-12B-Mimicore-Orochi",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 12.248
-    }
-  },
-  "evaluation_results": [
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-      "evaluation_name": "IFEval",
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-        "lower_is_better": false,
-        "score_type": "continuous",
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-        "max_score": 1
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-      "score_details": {
-        "score": 0.4620451513096362
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
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-    },
-    {
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-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.45458333333333334
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.34466422872340424
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/DoppelReflEx/MN-12B-Mimicore-WhiteSnake-v2-Experiment-1/96b00cfa-1383-4b36-a043-17eb39678ffc.json b/data/hfopenllm_v2/DoppelReflEx/MN-12B-Mimicore-WhiteSnake-v2-Experiment-1/96b00cfa-1383-4b36-a043-17eb39678ffc.json
new file mode 100644
index 000000000..995274f5e
--- /dev/null
+++ b/data/hfopenllm_v2/DoppelReflEx/MN-12B-Mimicore-WhiteSnake-v2-Experiment-1/96b00cfa-1383-4b36-a043-17eb39678ffc.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/DoppelReflEx_MN-12B-Mimicore-WhiteSnake-v2-Experiment-1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "MN-12B-Mimicore-WhiteSnake-v2-Experiment-1",
+    "id": "DoppelReflEx/MN-12B-Mimicore-WhiteSnake-v2-Experiment-1",
+    "developer": "DoppelReflEx",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 12.248
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3909
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4866
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0785
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3054
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.379
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3114
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DoppelReflEx/MN-12B-Mimicore-WhiteSnake-v2-Experiment-1/aa2478d9-59bd-458b-abee-5669aa6280df.json b/data/hfopenllm_v2/DoppelReflEx/MN-12B-Mimicore-WhiteSnake-v2-Experiment-1/aa2478d9-59bd-458b-abee-5669aa6280df.json
deleted file mode 100644
index 14c64323c..000000000
--- a/data/hfopenllm_v2/DoppelReflEx/MN-12B-Mimicore-WhiteSnake-v2-Experiment-1/aa2478d9-59bd-458b-abee-5669aa6280df.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/DoppelReflEx_MN-12B-Mimicore-WhiteSnake-v2-Experiment-1/1762652579.5600362",
-  "retrieved_timestamp": "1762652579.5600362",
-  "source_data": [
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-  "source_metadata": {
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "DoppelReflEx/MN-12B-Mimicore-WhiteSnake-v2-Experiment-1",
-    "developer": "DoppelReflEx",
-    "inference_platform": "unknown",
-    "id": "DoppelReflEx/MN-12B-Mimicore-WhiteSnake-v2-Experiment-1",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 12.248
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.39090391272933595
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3053691275167785
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3789583333333333
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.31141954787234044
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/DoppelReflEx/MN-12B-Mimicore-WhiteSnake-v2-Experiment-2/3b8a796e-6bde-4506-8335-bd3cc72482e1.json b/data/hfopenllm_v2/DoppelReflEx/MN-12B-Mimicore-WhiteSnake-v2-Experiment-2/3b8a796e-6bde-4506-8335-bd3cc72482e1.json
new file mode 100644
index 000000000..037fde141
--- /dev/null
+++ b/data/hfopenllm_v2/DoppelReflEx/MN-12B-Mimicore-WhiteSnake-v2-Experiment-2/3b8a796e-6bde-4506-8335-bd3cc72482e1.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/DoppelReflEx_MN-12B-Mimicore-WhiteSnake-v2-Experiment-2/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "MN-12B-Mimicore-WhiteSnake-v2-Experiment-2",
+    "id": "DoppelReflEx/MN-12B-Mimicore-WhiteSnake-v2-Experiment-2",
+    "developer": "DoppelReflEx",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 12.248
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3124
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+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5126
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+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
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+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2961
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+      "score_details": {
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+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3314
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DoppelReflEx/MN-12B-Mimicore-WhiteSnake-v2-Experiment-2/66bd7a21-6f85-49b5-bc01-3f52ed8d1c64.json b/data/hfopenllm_v2/DoppelReflEx/MN-12B-Mimicore-WhiteSnake-v2-Experiment-2/66bd7a21-6f85-49b5-bc01-3f52ed8d1c64.json
deleted file mode 100644
index 657c890f0..000000000
--- a/data/hfopenllm_v2/DoppelReflEx/MN-12B-Mimicore-WhiteSnake-v2-Experiment-2/66bd7a21-6f85-49b5-bc01-3f52ed8d1c64.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
-    "name": "DoppelReflEx/MN-12B-Mimicore-WhiteSnake-v2-Experiment-2",
-    "developer": "DoppelReflEx",
-    "inference_platform": "unknown",
-    "id": "DoppelReflEx/MN-12B-Mimicore-WhiteSnake-v2-Experiment-2",
-    "additional_details": {
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-      "architecture": "MistralForCausalLM",
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-        "lower_is_better": false,
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-        "min_score": 0,
-        "max_score": 1
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-        "min_score": 0,
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-      "metric_config": {
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-        "lower_is_better": false,
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-        "min_score": 0,
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-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2961409395973154
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.39746875
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-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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diff --git a/data/hfopenllm_v2/DoppelReflEx/MN-12B-Mimicore-WhiteSnake-v2-Experiment-3/1a3eefa6-7b3d-4541-93b0-8fe86f6bf038.json b/data/hfopenllm_v2/DoppelReflEx/MN-12B-Mimicore-WhiteSnake-v2-Experiment-3/1a3eefa6-7b3d-4541-93b0-8fe86f6bf038.json
deleted file mode 100644
index b6c3baf74..000000000
--- a/data/hfopenllm_v2/DoppelReflEx/MN-12B-Mimicore-WhiteSnake-v2-Experiment-3/1a3eefa6-7b3d-4541-93b0-8fe86f6bf038.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
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-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "DoppelReflEx/MN-12B-Mimicore-WhiteSnake-v2-Experiment-3",
-    "developer": "DoppelReflEx",
-    "inference_platform": "unknown",
-    "id": "DoppelReflEx/MN-12B-Mimicore-WhiteSnake-v2-Experiment-3",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 12.248
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-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-        "lower_is_better": false,
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-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-}
diff --git a/data/hfopenllm_v2/DoppelReflEx/MN-12B-Mimicore-WhiteSnake-v2-Experiment-3/a93e99e2-ca13-4cdc-9904-7ae5cc82c623.json b/data/hfopenllm_v2/DoppelReflEx/MN-12B-Mimicore-WhiteSnake-v2-Experiment-3/a93e99e2-ca13-4cdc-9904-7ae5cc82c623.json
new file mode 100644
index 000000000..acc3b57f9
--- /dev/null
+++ b/data/hfopenllm_v2/DoppelReflEx/MN-12B-Mimicore-WhiteSnake-v2-Experiment-3/a93e99e2-ca13-4cdc-9904-7ae5cc82c623.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/DoppelReflEx_MN-12B-Mimicore-WhiteSnake-v2-Experiment-3/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "MN-12B-Mimicore-WhiteSnake-v2-Experiment-3",
+    "id": "DoppelReflEx/MN-12B-Mimicore-WhiteSnake-v2-Experiment-3",
+    "developer": "DoppelReflEx",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 12.248
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4302
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4812
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0899
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.302
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3684
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3198
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DoppelReflEx/MN-12B-Mimicore-WhiteSnake-v2-Experiment-4/65d9e237-2757-459e-94e7-e382213e4eeb.json b/data/hfopenllm_v2/DoppelReflEx/MN-12B-Mimicore-WhiteSnake-v2-Experiment-4/65d9e237-2757-459e-94e7-e382213e4eeb.json
new file mode 100644
index 000000000..bd2328696
--- /dev/null
+++ b/data/hfopenllm_v2/DoppelReflEx/MN-12B-Mimicore-WhiteSnake-v2-Experiment-4/65d9e237-2757-459e-94e7-e382213e4eeb.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/DoppelReflEx_MN-12B-Mimicore-WhiteSnake-v2-Experiment-4/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "MN-12B-Mimicore-WhiteSnake-v2-Experiment-4",
+    "id": "DoppelReflEx/MN-12B-Mimicore-WhiteSnake-v2-Experiment-4",
+    "developer": "DoppelReflEx",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 12.248
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4241
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5185
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.114
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3104
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4002
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3342
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DoppelReflEx/MN-12B-Mimicore-WhiteSnake-v2-Experiment-4/d7303703-f33e-430b-813d-998c95dbdb67.json b/data/hfopenllm_v2/DoppelReflEx/MN-12B-Mimicore-WhiteSnake-v2-Experiment-4/d7303703-f33e-430b-813d-998c95dbdb67.json
deleted file mode 100644
index f67d2ecef..000000000
--- a/data/hfopenllm_v2/DoppelReflEx/MN-12B-Mimicore-WhiteSnake-v2-Experiment-4/d7303703-f33e-430b-813d-998c95dbdb67.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/DoppelReflEx_MN-12B-Mimicore-WhiteSnake-v2-Experiment-4/1762652579.560668",
-  "retrieved_timestamp": "1762652579.560668",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "DoppelReflEx/MN-12B-Mimicore-WhiteSnake-v2-Experiment-4",
-    "developer": "DoppelReflEx",
-    "inference_platform": "unknown",
-    "id": "DoppelReflEx/MN-12B-Mimicore-WhiteSnake-v2-Experiment-4",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 12.248
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42405151664250856
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
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-        "score_type": "continuous",
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diff --git a/data/hfopenllm_v2/DoppelReflEx/MN-12B-Mimicore-WhiteSnake/8aa34df4-8347-4f2d-98a0-7ec58bd62e43.json b/data/hfopenllm_v2/DoppelReflEx/MN-12B-Mimicore-WhiteSnake/8aa34df4-8347-4f2d-98a0-7ec58bd62e43.json
deleted file mode 100644
index 09efa749d..000000000
--- a/data/hfopenllm_v2/DoppelReflEx/MN-12B-Mimicore-WhiteSnake/8aa34df4-8347-4f2d-98a0-7ec58bd62e43.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/DoppelReflEx_MN-12B-Mimicore-WhiteSnake/1762652579.55982",
-  "retrieved_timestamp": "1762652579.5598211",
-  "source_data": [
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-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "DoppelReflEx/MN-12B-Mimicore-WhiteSnake",
-    "developer": "DoppelReflEx",
-    "inference_platform": "unknown",
-    "id": "DoppelReflEx/MN-12B-Mimicore-WhiteSnake",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 12.248
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-  "evaluation_results": [
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-      "evaluation_name": "IFEval",
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-    },
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-        "lower_is_better": false,
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-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.456875
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/DoppelReflEx/MN-12B-Mimicore-WhiteSnake/c3f44524-4c75-4cd0-9f5d-79c8b08f6f77.json b/data/hfopenllm_v2/DoppelReflEx/MN-12B-Mimicore-WhiteSnake/c3f44524-4c75-4cd0-9f5d-79c8b08f6f77.json
new file mode 100644
index 000000000..2aafdb196
--- /dev/null
+++ b/data/hfopenllm_v2/DoppelReflEx/MN-12B-Mimicore-WhiteSnake/c3f44524-4c75-4cd0-9f5d-79c8b08f6f77.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/DoppelReflEx_MN-12B-Mimicore-WhiteSnake/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "MN-12B-Mimicore-WhiteSnake",
+    "id": "DoppelReflEx/MN-12B-Mimicore-WhiteSnake",
+    "developer": "DoppelReflEx",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 12.248
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4438
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5605
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1314
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.318
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4569
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3658
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DoppelReflEx/MN-12B-Unleashed-Twilight/00f0fe96-4a06-46e7-88d8-368b86bcdb06.json b/data/hfopenllm_v2/DoppelReflEx/MN-12B-Unleashed-Twilight/00f0fe96-4a06-46e7-88d8-368b86bcdb06.json
deleted file mode 100644
index a5634a043..000000000
--- a/data/hfopenllm_v2/DoppelReflEx/MN-12B-Unleashed-Twilight/00f0fe96-4a06-46e7-88d8-368b86bcdb06.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "source_data": [
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "DoppelReflEx/MN-12B-Unleashed-Twilight",
-    "developer": "DoppelReflEx",
-    "inference_platform": "unknown",
-    "id": "DoppelReflEx/MN-12B-Unleashed-Twilight",
-    "additional_details": {
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-      "architecture": "MistralForCausalLM",
-      "params_billions": 12.248
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-  "evaluation_results": [
-    {
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-        "score_type": "continuous",
-        "min_score": 0,
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-        "score_type": "continuous",
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-      "score_details": {
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-    {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4383958333333333
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3677692819148936
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/DoppelReflEx/MN-12B-Unleashed-Twilight/2e7d3674-d0b0-4b87-8bd8-8202114b7665.json b/data/hfopenllm_v2/DoppelReflEx/MN-12B-Unleashed-Twilight/2e7d3674-d0b0-4b87-8bd8-8202114b7665.json
new file mode 100644
index 000000000..c22d0071e
--- /dev/null
+++ b/data/hfopenllm_v2/DoppelReflEx/MN-12B-Unleashed-Twilight/2e7d3674-d0b0-4b87-8bd8-8202114b7665.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/DoppelReflEx_MN-12B-Unleashed-Twilight/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "MN-12B-Unleashed-Twilight",
+    "id": "DoppelReflEx/MN-12B-Unleashed-Twilight",
+    "developer": "DoppelReflEx",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 12.248
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3505
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5521
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0959
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3289
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4384
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3678
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DoppelReflEx/MN-12B-WolFrame/30d21295-beb1-4179-8c6f-7bac79b29474.json b/data/hfopenllm_v2/DoppelReflEx/MN-12B-WolFrame/30d21295-beb1-4179-8c6f-7bac79b29474.json
new file mode 100644
index 000000000..4c6187607
--- /dev/null
+++ b/data/hfopenllm_v2/DoppelReflEx/MN-12B-WolFrame/30d21295-beb1-4179-8c6f-7bac79b29474.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/DoppelReflEx_MN-12B-WolFrame/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "MN-12B-WolFrame",
+    "id": "DoppelReflEx/MN-12B-WolFrame",
+    "developer": "DoppelReflEx",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 12.248
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4397
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5117
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1314
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3104
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4015
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3393
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DoppelReflEx/MN-12B-WolFrame/3bb96e7a-6c09-4b9e-8f2b-0b525c2ebeb3.json b/data/hfopenllm_v2/DoppelReflEx/MN-12B-WolFrame/3bb96e7a-6c09-4b9e-8f2b-0b525c2ebeb3.json
deleted file mode 100644
index b7aa76c5f..000000000
--- a/data/hfopenllm_v2/DoppelReflEx/MN-12B-WolFrame/3bb96e7a-6c09-4b9e-8f2b-0b525c2ebeb3.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/DoppelReflEx_MN-12B-WolFrame/1762652579.5611808",
-  "retrieved_timestamp": "1762652579.561182",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
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-  "source_metadata": {
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "DoppelReflEx/MN-12B-WolFrame",
-    "developer": "DoppelReflEx",
-    "inference_platform": "unknown",
-    "id": "DoppelReflEx/MN-12B-WolFrame",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 12.248
-    }
-  },
-  "evaluation_results": [
-    {
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-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-      "evaluation_name": "BBH",
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-        "lower_is_better": false,
-        "score_type": "continuous",
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-    {
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-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
-        "score": 0.3104026845637584
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.40146875
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
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-        "score": 0.33934507978723405
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/DoppelReflEx/MiniusLight-24B-test/e2fc95de-b9d9-4043-b55c-aa2819d4f52f.json b/data/hfopenllm_v2/DoppelReflEx/MiniusLight-24B-test/e2fc95de-b9d9-4043-b55c-aa2819d4f52f.json
new file mode 100644
index 000000000..3848f175e
--- /dev/null
+++ b/data/hfopenllm_v2/DoppelReflEx/MiniusLight-24B-test/e2fc95de-b9d9-4043-b55c-aa2819d4f52f.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/DoppelReflEx_MiniusLight-24B-test/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "MiniusLight-24B-test",
+    "id": "DoppelReflEx/MiniusLight-24B-test",
+    "developer": "DoppelReflEx",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 23.572
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0394
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6334
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0257
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3683
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4093
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5182
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DoppelReflEx/MiniusLight-24B-test/e6031abf-1ae2-431c-8247-3124fff41d17.json b/data/hfopenllm_v2/DoppelReflEx/MiniusLight-24B-test/e6031abf-1ae2-431c-8247-3124fff41d17.json
deleted file mode 100644
index aef3f2cc6..000000000
--- a/data/hfopenllm_v2/DoppelReflEx/MiniusLight-24B-test/e6031abf-1ae2-431c-8247-3124fff41d17.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/DoppelReflEx_MiniusLight-24B-test/1762652579.5616372",
-  "retrieved_timestamp": "1762652579.5616379",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "DoppelReflEx/MiniusLight-24B-test",
-    "developer": "DoppelReflEx",
-    "inference_platform": "unknown",
-    "id": "DoppelReflEx/MiniusLight-24B-test",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 23.572
-    }
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-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6333927323374534
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
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-        "score": 0.36828859060402686
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-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5182014627659575
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/DoppelReflEx/MiniusLight-24B-v1b-test/2917ef74-c8cb-4255-8bda-76280fbe7c64.json b/data/hfopenllm_v2/DoppelReflEx/MiniusLight-24B-v1b-test/2917ef74-c8cb-4255-8bda-76280fbe7c64.json
deleted file mode 100644
index f24cd3c36..000000000
--- a/data/hfopenllm_v2/DoppelReflEx/MiniusLight-24B-v1b-test/2917ef74-c8cb-4255-8bda-76280fbe7c64.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
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-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
-    "name": "DoppelReflEx/MiniusLight-24B-v1b-test",
-    "developer": "DoppelReflEx",
-    "inference_platform": "unknown",
-    "id": "DoppelReflEx/MiniusLight-24B-v1b-test",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 23.572
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-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
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-        "max_score": 1
-      },
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-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
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-        "max_score": 1
-      },
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-      },
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-    {
-      "evaluation_name": "MUSR",
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-        "max_score": 1
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-      "score_details": {
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-    {
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-        "score_type": "continuous",
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diff --git a/data/hfopenllm_v2/DoppelReflEx/MiniusLight-24B-v1b-test/7fbd7f97-baf9-4acd-ba0c-90ffbf0c47a5.json b/data/hfopenllm_v2/DoppelReflEx/MiniusLight-24B-v1b-test/7fbd7f97-baf9-4acd-ba0c-90ffbf0c47a5.json
new file mode 100644
index 000000000..fa3042ed0
--- /dev/null
+++ b/data/hfopenllm_v2/DoppelReflEx/MiniusLight-24B-v1b-test/7fbd7f97-baf9-4acd-ba0c-90ffbf0c47a5.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/DoppelReflEx_MiniusLight-24B-v1b-test/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "MiniusLight-24B-v1b-test",
+    "id": "DoppelReflEx/MiniusLight-24B-v1b-test",
+    "developer": "DoppelReflEx",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 23.572
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3791
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+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6617
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2394
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+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3792
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4557
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+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5365
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DoppelReflEx/MiniusLight-24B-v1c-test/23a21492-0897-44b4-a046-cf93fa8c2a64.json b/data/hfopenllm_v2/DoppelReflEx/MiniusLight-24B-v1c-test/23a21492-0897-44b4-a046-cf93fa8c2a64.json
deleted file mode 100644
index 85c457a38..000000000
--- a/data/hfopenllm_v2/DoppelReflEx/MiniusLight-24B-v1c-test/23a21492-0897-44b4-a046-cf93fa8c2a64.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
-    "name": "DoppelReflEx/MiniusLight-24B-v1c-test",
-    "developer": "DoppelReflEx",
-    "inference_platform": "unknown",
-    "id": "DoppelReflEx/MiniusLight-24B-v1c-test",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 23.572
-    }
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-      "evaluation_name": "IFEval",
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-        "lower_is_better": false,
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-        "max_score": 1
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-      "score_details": {
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-        "score_type": "continuous",
-        "min_score": 0,
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-      },
-      "score_details": {
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-      }
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-    {
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-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-        "lower_is_better": false,
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
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-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-    }
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-}
diff --git a/data/hfopenllm_v2/DoppelReflEx/MiniusLight-24B-v1c-test/336effcd-d8fc-4477-846f-70fc40bdc111.json b/data/hfopenllm_v2/DoppelReflEx/MiniusLight-24B-v1c-test/336effcd-d8fc-4477-846f-70fc40bdc111.json
new file mode 100644
index 000000000..c424357f5
--- /dev/null
+++ b/data/hfopenllm_v2/DoppelReflEx/MiniusLight-24B-v1c-test/336effcd-d8fc-4477-846f-70fc40bdc111.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/DoppelReflEx_MiniusLight-24B-v1c-test/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "MiniusLight-24B-v1c-test",
+    "id": "DoppelReflEx/MiniusLight-24B-v1c-test",
+    "developer": "DoppelReflEx",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 23.572
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3786
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6753
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2968
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3951
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4634
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5487
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DoppelReflEx/MiniusLight-24B-v1d-test/28f87820-d587-498e-b713-7c0af0cdc324.json b/data/hfopenllm_v2/DoppelReflEx/MiniusLight-24B-v1d-test/28f87820-d587-498e-b713-7c0af0cdc324.json
new file mode 100644
index 000000000..f4fb232bb
--- /dev/null
+++ b/data/hfopenllm_v2/DoppelReflEx/MiniusLight-24B-v1d-test/28f87820-d587-498e-b713-7c0af0cdc324.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/DoppelReflEx_MiniusLight-24B-v1d-test/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "MiniusLight-24B-v1d-test",
+    "id": "DoppelReflEx/MiniusLight-24B-v1d-test",
+    "developer": "DoppelReflEx",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 23.572
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4032
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6712
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2946
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3951
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4621
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5489
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DoppelReflEx/MiniusLight-24B-v1d-test/af67712e-7436-4703-ac22-9878dd8e190a.json b/data/hfopenllm_v2/DoppelReflEx/MiniusLight-24B-v1d-test/af67712e-7436-4703-ac22-9878dd8e190a.json
deleted file mode 100644
index d69442fd4..000000000
--- a/data/hfopenllm_v2/DoppelReflEx/MiniusLight-24B-v1d-test/af67712e-7436-4703-ac22-9878dd8e190a.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
-    "name": "DoppelReflEx/MiniusLight-24B-v1d-test",
-    "developer": "DoppelReflEx",
-    "inference_platform": "unknown",
-    "id": "DoppelReflEx/MiniusLight-24B-v1d-test",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
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-    {
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-        "lower_is_better": false,
-        "score_type": "continuous",
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-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5488696808510638
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-}
diff --git a/data/hfopenllm_v2/DoppelReflEx/MiniusLight-24B/2ec36e2e-0fba-4c6a-b9d0-fe57e7d708ef.json b/data/hfopenllm_v2/DoppelReflEx/MiniusLight-24B/2ec36e2e-0fba-4c6a-b9d0-fe57e7d708ef.json
deleted file mode 100644
index 4b264bfff..000000000
--- a/data/hfopenllm_v2/DoppelReflEx/MiniusLight-24B/2ec36e2e-0fba-4c6a-b9d0-fe57e7d708ef.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/DoppelReflEx_MiniusLight-24B/1762652579.561418",
-  "retrieved_timestamp": "1762652579.561419",
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "DoppelReflEx/MiniusLight-24B",
-    "developer": "DoppelReflEx",
-    "inference_platform": "unknown",
-    "id": "DoppelReflEx/MiniusLight-24B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 23.572
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-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
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-    {
-      "evaluation_name": "BBH",
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-    {
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-    {
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-        "score_type": "continuous",
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-        "max_score": 1
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-        "score": 0.35822147651006714
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
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-        "score_type": "continuous",
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-        "max_score": 1
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-      "score_details": {
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-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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diff --git a/data/hfopenllm_v2/DoppelReflEx/MiniusLight-24B/f1b671ab-ebb3-43ec-86fa-832982d04cc1.json b/data/hfopenllm_v2/DoppelReflEx/MiniusLight-24B/f1b671ab-ebb3-43ec-86fa-832982d04cc1.json
new file mode 100644
index 000000000..5cc2e4360
--- /dev/null
+++ b/data/hfopenllm_v2/DoppelReflEx/MiniusLight-24B/f1b671ab-ebb3-43ec-86fa-832982d04cc1.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/DoppelReflEx_MiniusLight-24B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "MiniusLight-24B",
+    "id": "DoppelReflEx/MiniusLight-24B",
+    "developer": "DoppelReflEx",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 23.572
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2577
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6256
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1261
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3582
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4319
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5091
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DreadPoor/Again-8B-Model_Stock/327cde83-d107-4455-bc03-7e03026c52e6.json b/data/hfopenllm_v2/DreadPoor/Again-8B-Model_Stock/327cde83-d107-4455-bc03-7e03026c52e6.json
new file mode 100644
index 000000000..e2c3518ef
--- /dev/null
+++ b/data/hfopenllm_v2/DreadPoor/Again-8B-Model_Stock/327cde83-d107-4455-bc03-7e03026c52e6.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/DreadPoor_Again-8B-Model_Stock/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Again-8B-Model_Stock",
+    "id": "DreadPoor/Again-8B-Model_Stock",
+    "developer": "DreadPoor",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 4.015
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6724
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.531
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1201
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3012
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3987
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3518
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DreadPoor/Again-8B-Model_Stock/cd2de45f-874a-4d63-bb6d-0afe5e687964.json b/data/hfopenllm_v2/DreadPoor/Again-8B-Model_Stock/cd2de45f-874a-4d63-bb6d-0afe5e687964.json
deleted file mode 100644
index ce716a342..000000000
--- a/data/hfopenllm_v2/DreadPoor/Again-8B-Model_Stock/cd2de45f-874a-4d63-bb6d-0afe5e687964.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/DreadPoor_Again-8B-Model_Stock/1762652579.562616",
-  "retrieved_timestamp": "1762652579.562617",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "DreadPoor/Again-8B-Model_Stock",
-    "developer": "DreadPoor",
-    "inference_platform": "unknown",
-    "id": "DreadPoor/Again-8B-Model_Stock",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 4.015
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6724213974476612
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5309801059970912
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.12009063444108761
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3011744966442953
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.39867708333333335
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.351811835106383
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/DreadPoor/Alita99-8B-LINEAR/570c991f-06bc-45d1-8409-d779a07df9a6.json b/data/hfopenllm_v2/DreadPoor/Alita99-8B-LINEAR/570c991f-06bc-45d1-8409-d779a07df9a6.json
deleted file mode 100644
index 4af0d7b61..000000000
--- a/data/hfopenllm_v2/DreadPoor/Alita99-8B-LINEAR/570c991f-06bc-45d1-8409-d779a07df9a6.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/DreadPoor_Alita99-8B-LINEAR/1762652579.562879",
-  "retrieved_timestamp": "1762652579.56288",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "DreadPoor/Alita99-8B-LINEAR",
-    "developer": "DreadPoor",
-    "inference_platform": "unknown",
-    "id": "DreadPoor/Alita99-8B-LINEAR",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7190077882241341
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5441767095577089
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1646525679758308
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3162751677852349
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42664583333333334
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.38090093085106386
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/DreadPoor/Alita99-8B-LINEAR/7497b8fb-9a7d-46dc-868e-1a2bbcdc7860.json b/data/hfopenllm_v2/DreadPoor/Alita99-8B-LINEAR/7497b8fb-9a7d-46dc-868e-1a2bbcdc7860.json
new file mode 100644
index 000000000..de70affaf
--- /dev/null
+++ b/data/hfopenllm_v2/DreadPoor/Alita99-8B-LINEAR/7497b8fb-9a7d-46dc-868e-1a2bbcdc7860.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/DreadPoor_Alita99-8B-LINEAR/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Alita99-8B-LINEAR",
+    "id": "DreadPoor/Alita99-8B-LINEAR",
+    "developer": "DreadPoor",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.719
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5442
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1647
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3163
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4266
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3809
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DreadPoor/AnotherTest/81ec7c1a-8874-44c3-b482-8a8ecfb2ae72.json b/data/hfopenllm_v2/DreadPoor/AnotherTest/81ec7c1a-8874-44c3-b482-8a8ecfb2ae72.json
deleted file mode 100644
index f266ccda0..000000000
--- a/data/hfopenllm_v2/DreadPoor/AnotherTest/81ec7c1a-8874-44c3-b482-8a8ecfb2ae72.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/DreadPoor_AnotherTest/1762652579.563089",
-  "retrieved_timestamp": "1762652579.563089",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "DreadPoor/AnotherTest",
-    "developer": "DreadPoor",
-    "inference_platform": "unknown",
-    "id": "DreadPoor/AnotherTest",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.47006387496287627
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.46834113564549334
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.061933534743202415
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2978187919463087
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42128125
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2874833776595745
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/DreadPoor/AnotherTest/92c8afbe-7735-40c8-af0e-29da687c2070.json b/data/hfopenllm_v2/DreadPoor/AnotherTest/92c8afbe-7735-40c8-af0e-29da687c2070.json
new file mode 100644
index 000000000..c4e25da29
--- /dev/null
+++ b/data/hfopenllm_v2/DreadPoor/AnotherTest/92c8afbe-7735-40c8-af0e-29da687c2070.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/DreadPoor_AnotherTest/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "AnotherTest",
+    "id": "DreadPoor/AnotherTest",
+    "developer": "DreadPoor",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4701
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4683
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0619
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2978
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4213
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2875
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DreadPoor/Aspire-8B-model_stock/28bd44a9-d916-4a0b-b0ae-c6a4cb5d727d.json b/data/hfopenllm_v2/DreadPoor/Aspire-8B-model_stock/28bd44a9-d916-4a0b-b0ae-c6a4cb5d727d.json
deleted file mode 100644
index 7b265a912..000000000
--- a/data/hfopenllm_v2/DreadPoor/Aspire-8B-model_stock/28bd44a9-d916-4a0b-b0ae-c6a4cb5d727d.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/DreadPoor_Aspire-8B-model_stock/1762652579.5633001",
-  "retrieved_timestamp": "1762652579.563301",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "DreadPoor/Aspire-8B-model_stock",
-    "developer": "DreadPoor",
-    "inference_platform": "unknown",
-    "id": "DreadPoor/Aspire-8B-model_stock",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7140620221013578
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5278251846388996
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.14954682779456194
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3145973154362416
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42124999999999996
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37632978723404253
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/DreadPoor/Aspire-8B-model_stock/bca052ac-6556-49d8-94e3-f4bda560a5d3.json b/data/hfopenllm_v2/DreadPoor/Aspire-8B-model_stock/bca052ac-6556-49d8-94e3-f4bda560a5d3.json
new file mode 100644
index 000000000..6e0e74802
--- /dev/null
+++ b/data/hfopenllm_v2/DreadPoor/Aspire-8B-model_stock/bca052ac-6556-49d8-94e3-f4bda560a5d3.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/DreadPoor_Aspire-8B-model_stock/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Aspire-8B-model_stock",
+    "id": "DreadPoor/Aspire-8B-model_stock",
+    "developer": "DreadPoor",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7141
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5278
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1495
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3146
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4212
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3763
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DreadPoor/Aspire_1.3-8B_model-stock/5f74fe6e-8575-4cea-959b-e6ba03c7e273.json b/data/hfopenllm_v2/DreadPoor/Aspire_1.3-8B_model-stock/5f74fe6e-8575-4cea-959b-e6ba03c7e273.json
new file mode 100644
index 000000000..91197dc03
--- /dev/null
+++ b/data/hfopenllm_v2/DreadPoor/Aspire_1.3-8B_model-stock/5f74fe6e-8575-4cea-959b-e6ba03c7e273.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/DreadPoor_Aspire_1.3-8B_model-stock/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Aspire_1.3-8B_model-stock",
+    "id": "DreadPoor/Aspire_1.3-8B_model-stock",
+    "developer": "DreadPoor",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7062
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5302
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1692
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3079
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4105
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3716
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DreadPoor/Aspire_1.3-8B_model-stock/917a9361-af08-4e12-a93a-01321629b31f.json b/data/hfopenllm_v2/DreadPoor/Aspire_1.3-8B_model-stock/917a9361-af08-4e12-a93a-01321629b31f.json
deleted file mode 100644
index 7ddb36122..000000000
--- a/data/hfopenllm_v2/DreadPoor/Aspire_1.3-8B_model-stock/917a9361-af08-4e12-a93a-01321629b31f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/DreadPoor_Aspire_1.3-8B_model-stock/1762652579.563606",
-  "retrieved_timestamp": "1762652579.563607",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "DreadPoor/Aspire_1.3-8B_model-stock",
-    "developer": "DreadPoor",
-    "inference_platform": "unknown",
-    "id": "DreadPoor/Aspire_1.3-8B_model-stock",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7061685217445268
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5301644606574212
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1691842900302115
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30788590604026844
-      }
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diff --git a/data/hfopenllm_v2/DreadPoor/Aspire_V2-8B-Model_Stock/677221cd-f218-4982-8363-d969913d7a22.json b/data/hfopenllm_v2/DreadPoor/Aspire_V2-8B-Model_Stock/677221cd-f218-4982-8363-d969913d7a22.json
deleted file mode 100644
index e24604f18..000000000
--- a/data/hfopenllm_v2/DreadPoor/Aspire_V2-8B-Model_Stock/677221cd-f218-4982-8363-d969913d7a22.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/DreadPoor_Aspire_V2-8B-Model_Stock/1762652579.56384",
-  "retrieved_timestamp": "1762652579.563841",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "DreadPoor/Aspire_V2-8B-Model_Stock",
-    "developer": "DreadPoor",
-    "inference_platform": "unknown",
-    "id": "DreadPoor/Aspire_V2-8B-Model_Stock",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
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-        "max_score": 1
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-        "lower_is_better": false,
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-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-    },
-    {
-      "evaluation_name": "GPQA",
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-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
-        "score": 0.32046979865771813
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.38937499999999997
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3696808510638298
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/DreadPoor/Aspire_V2-8B-Model_Stock/b0f696f5-ed70-4293-999d-a9121192c137.json b/data/hfopenllm_v2/DreadPoor/Aspire_V2-8B-Model_Stock/b0f696f5-ed70-4293-999d-a9121192c137.json
new file mode 100644
index 000000000..206f0a344
--- /dev/null
+++ b/data/hfopenllm_v2/DreadPoor/Aspire_V2-8B-Model_Stock/b0f696f5-ed70-4293-999d-a9121192c137.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/DreadPoor_Aspire_V2-8B-Model_Stock/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Aspire_V2-8B-Model_Stock",
+    "id": "DreadPoor/Aspire_V2-8B-Model_Stock",
+    "developer": "DreadPoor",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7371
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.533
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.176
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3205
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3894
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3697
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DreadPoor/Aspire_V2.1-8B-Model_Stock/18751a6f-062c-4915-bbe0-ae222cf9ae0b.json b/data/hfopenllm_v2/DreadPoor/Aspire_V2.1-8B-Model_Stock/18751a6f-062c-4915-bbe0-ae222cf9ae0b.json
new file mode 100644
index 000000000..2e1a6a761
--- /dev/null
+++ b/data/hfopenllm_v2/DreadPoor/Aspire_V2.1-8B-Model_Stock/18751a6f-062c-4915-bbe0-ae222cf9ae0b.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/DreadPoor_Aspire_V2.1-8B-Model_Stock/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Aspire_V2.1-8B-Model_Stock",
+    "id": "DreadPoor/Aspire_V2.1-8B-Model_Stock",
+    "developer": "DreadPoor",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7238
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5236
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1767
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3096
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4136
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3801
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DreadPoor/Aspire_V2.1-8B-Model_Stock/292e77cb-e6e6-4d10-9956-1e09369e9669.json b/data/hfopenllm_v2/DreadPoor/Aspire_V2.1-8B-Model_Stock/292e77cb-e6e6-4d10-9956-1e09369e9669.json
deleted file mode 100644
index e64712219..000000000
--- a/data/hfopenllm_v2/DreadPoor/Aspire_V2.1-8B-Model_Stock/292e77cb-e6e6-4d10-9956-1e09369e9669.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/DreadPoor_Aspire_V2.1-8B-Model_Stock/1762652579.564126",
-  "retrieved_timestamp": "1762652579.564127",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "DreadPoor/Aspire_V2.1-8B-Model_Stock",
-    "developer": "DreadPoor",
-    "inference_platform": "unknown",
-    "id": "DreadPoor/Aspire_V2.1-8B-Model_Stock",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7237540836092679
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5236395810818485
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.17673716012084592
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30956375838926176
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41359375
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3800698138297872
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/DreadPoor/Aspire_V2_ALT-8B-Model_Stock/398ebe04-638f-4a11-b99d-6778ff3ff97b.json b/data/hfopenllm_v2/DreadPoor/Aspire_V2_ALT-8B-Model_Stock/398ebe04-638f-4a11-b99d-6778ff3ff97b.json
new file mode 100644
index 000000000..98689999d
--- /dev/null
+++ b/data/hfopenllm_v2/DreadPoor/Aspire_V2_ALT-8B-Model_Stock/398ebe04-638f-4a11-b99d-6778ff3ff97b.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/DreadPoor_Aspire_V2_ALT-8B-Model_Stock/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Aspire_V2_ALT-8B-Model_Stock",
+    "id": "DreadPoor/Aspire_V2_ALT-8B-Model_Stock",
+    "developer": "DreadPoor",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7381
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5266
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.173
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3247
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3975
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3727
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DreadPoor/Aspire_V2_ALT-8B-Model_Stock/62414bde-98c1-4cae-af6d-18d3b0ecd50a.json b/data/hfopenllm_v2/DreadPoor/Aspire_V2_ALT-8B-Model_Stock/62414bde-98c1-4cae-af6d-18d3b0ecd50a.json
deleted file mode 100644
index 05a478445..000000000
--- a/data/hfopenllm_v2/DreadPoor/Aspire_V2_ALT-8B-Model_Stock/62414bde-98c1-4cae-af6d-18d3b0ecd50a.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/DreadPoor_Aspire_V2_ALT-8B-Model_Stock/1762652579.5643399",
-  "retrieved_timestamp": "1762652579.564341",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "DreadPoor/Aspire_V2_ALT-8B-Model_Stock",
-    "developer": "DreadPoor",
-    "inference_platform": "unknown",
-    "id": "DreadPoor/Aspire_V2_ALT-8B-Model_Stock",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7381170848903134
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5265819478728287
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1729607250755287
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.32466442953020136
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.39749999999999996
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3726728723404255
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/DreadPoor/Aspire_V2_ALT_ROW-8B-Model_Stock/3258c5c6-d12d-4e09-8404-22b6aaf82e87.json b/data/hfopenllm_v2/DreadPoor/Aspire_V2_ALT_ROW-8B-Model_Stock/3258c5c6-d12d-4e09-8404-22b6aaf82e87.json
deleted file mode 100644
index 8f5a49119..000000000
--- a/data/hfopenllm_v2/DreadPoor/Aspire_V2_ALT_ROW-8B-Model_Stock/3258c5c6-d12d-4e09-8404-22b6aaf82e87.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/DreadPoor_Aspire_V2_ALT_ROW-8B-Model_Stock/1762652579.564561",
-  "retrieved_timestamp": "1762652579.5645618",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "DreadPoor/Aspire_V2_ALT_ROW-8B-Model_Stock",
-    "developer": "DreadPoor",
-    "inference_platform": "unknown",
-    "id": "DreadPoor/Aspire_V2_ALT_ROW-8B-Model_Stock",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7381170848903134
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5265819478728287
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1729607250755287
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.32466442953020136
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.39749999999999996
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3726728723404255
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/DreadPoor/Aspire_V2_ALT_ROW-8B-Model_Stock/b4f197f2-3456-4221-b222-10dfbbb50f56.json b/data/hfopenllm_v2/DreadPoor/Aspire_V2_ALT_ROW-8B-Model_Stock/b4f197f2-3456-4221-b222-10dfbbb50f56.json
new file mode 100644
index 000000000..2a86794fd
--- /dev/null
+++ b/data/hfopenllm_v2/DreadPoor/Aspire_V2_ALT_ROW-8B-Model_Stock/b4f197f2-3456-4221-b222-10dfbbb50f56.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/DreadPoor_Aspire_V2_ALT_ROW-8B-Model_Stock/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Aspire_V2_ALT_ROW-8B-Model_Stock",
+    "id": "DreadPoor/Aspire_V2_ALT_ROW-8B-Model_Stock",
+    "developer": "DreadPoor",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7381
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5266
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.173
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3247
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3975
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3727
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DreadPoor/Aspire_V3-8B-Model_Stock/0a2fa86a-f9b3-4a49-b215-4cd3ee9b4c22.json b/data/hfopenllm_v2/DreadPoor/Aspire_V3-8B-Model_Stock/0a2fa86a-f9b3-4a49-b215-4cd3ee9b4c22.json
new file mode 100644
index 000000000..f208a5c89
--- /dev/null
+++ b/data/hfopenllm_v2/DreadPoor/Aspire_V3-8B-Model_Stock/0a2fa86a-f9b3-4a49-b215-4cd3ee9b4c22.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/DreadPoor_Aspire_V3-8B-Model_Stock/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Aspire_V3-8B-Model_Stock",
+    "id": "DreadPoor/Aspire_V3-8B-Model_Stock",
+    "developer": "DreadPoor",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5119
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5268
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1858
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3054
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4015
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3642
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DreadPoor/Aspire_V3-8B-Model_Stock/3cc8c02f-87a8-428a-8991-a0d52500d927.json b/data/hfopenllm_v2/DreadPoor/Aspire_V3-8B-Model_Stock/3cc8c02f-87a8-428a-8991-a0d52500d927.json
deleted file mode 100644
index 28fe3faee..000000000
--- a/data/hfopenllm_v2/DreadPoor/Aspire_V3-8B-Model_Stock/3cc8c02f-87a8-428a-8991-a0d52500d927.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/DreadPoor_Aspire_V3-8B-Model_Stock/1762652579.5648441",
-  "retrieved_timestamp": "1762652579.564845",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "DreadPoor/Aspire_V3-8B-Model_Stock",
-    "developer": "DreadPoor",
-    "inference_platform": "unknown",
-    "id": "DreadPoor/Aspire_V3-8B-Model_Stock",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5118795905973927
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5267958758971987
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.18580060422960726
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3053691275167785
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.40149999999999997
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.36419547872340424
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/DreadPoor/Aspire_V4-8B-Model_Stock/1561ec50-1cb9-47ce-9db1-09efe9c3fc61.json b/data/hfopenllm_v2/DreadPoor/Aspire_V4-8B-Model_Stock/1561ec50-1cb9-47ce-9db1-09efe9c3fc61.json
new file mode 100644
index 000000000..b90acd330
--- /dev/null
+++ b/data/hfopenllm_v2/DreadPoor/Aspire_V4-8B-Model_Stock/1561ec50-1cb9-47ce-9db1-09efe9c3fc61.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/DreadPoor_Aspire_V4-8B-Model_Stock/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Aspire_V4-8B-Model_Stock",
+    "id": "DreadPoor/Aspire_V4-8B-Model_Stock",
+    "developer": "DreadPoor",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7694
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5314
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1926
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3045
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3867
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3708
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DreadPoor/Aspire_V4-8B-Model_Stock/692e0ff5-0607-4aae-8996-45bbbc4d2288.json b/data/hfopenllm_v2/DreadPoor/Aspire_V4-8B-Model_Stock/692e0ff5-0607-4aae-8996-45bbbc4d2288.json
deleted file mode 100644
index 1b5dbd0b5..000000000
--- a/data/hfopenllm_v2/DreadPoor/Aspire_V4-8B-Model_Stock/692e0ff5-0607-4aae-8996-45bbbc4d2288.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/DreadPoor_Aspire_V4-8B-Model_Stock/1762652579.565063",
-  "retrieved_timestamp": "1762652579.565064",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "DreadPoor/Aspire_V4-8B-Model_Stock",
-    "developer": "DreadPoor",
-    "inference_platform": "unknown",
-    "id": "DreadPoor/Aspire_V4-8B-Model_Stock",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.769416259967996
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5314037161536506
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.19259818731117825
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30453020134228187
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3867395833333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.370844414893617
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/DreadPoor/Aspire_V4_ALT-8B-Model_Stock/496525ff-394a-4b7b-9d93-f5b38d2a1ee3.json b/data/hfopenllm_v2/DreadPoor/Aspire_V4_ALT-8B-Model_Stock/496525ff-394a-4b7b-9d93-f5b38d2a1ee3.json
new file mode 100644
index 000000000..d418f3c08
--- /dev/null
+++ b/data/hfopenllm_v2/DreadPoor/Aspire_V4_ALT-8B-Model_Stock/496525ff-394a-4b7b-9d93-f5b38d2a1ee3.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/DreadPoor_Aspire_V4_ALT-8B-Model_Stock/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Aspire_V4_ALT-8B-Model_Stock",
+    "id": "DreadPoor/Aspire_V4_ALT-8B-Model_Stock",
+    "developer": "DreadPoor",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7366
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5268
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1813
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3205
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.392
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3682
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DreadPoor/Aspire_V4_ALT-8B-Model_Stock/7b634b21-8d89-4656-89d7-3590fc8a883a.json b/data/hfopenllm_v2/DreadPoor/Aspire_V4_ALT-8B-Model_Stock/7b634b21-8d89-4656-89d7-3590fc8a883a.json
deleted file mode 100644
index e7849cb6a..000000000
--- a/data/hfopenllm_v2/DreadPoor/Aspire_V4_ALT-8B-Model_Stock/7b634b21-8d89-4656-89d7-3590fc8a883a.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/DreadPoor_Aspire_V4_ALT-8B-Model_Stock/1762652579.565274",
-  "retrieved_timestamp": "1762652579.565275",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "DreadPoor/Aspire_V4_ALT-8B-Model_Stock",
-    "developer": "DreadPoor",
-    "inference_platform": "unknown",
-    "id": "DreadPoor/Aspire_V4_ALT-8B-Model_Stock",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7365933500888753
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5268232518944024
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.18126888217522658
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.32046979865771813
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3920416666666666
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3681848404255319
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/DreadPoor/Asymmetric_Linearity-8B-Model_Stock/37071760-d24c-43cc-9965-d8c7873c0ee8.json b/data/hfopenllm_v2/DreadPoor/Asymmetric_Linearity-8B-Model_Stock/37071760-d24c-43cc-9965-d8c7873c0ee8.json
new file mode 100644
index 000000000..77c551bb3
--- /dev/null
+++ b/data/hfopenllm_v2/DreadPoor/Asymmetric_Linearity-8B-Model_Stock/37071760-d24c-43cc-9965-d8c7873c0ee8.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/DreadPoor_Asymmetric_Linearity-8B-Model_Stock/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Asymmetric_Linearity-8B-Model_Stock",
+    "id": "DreadPoor/Asymmetric_Linearity-8B-Model_Stock",
+    "developer": "DreadPoor",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 4.015
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7174
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5465
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1647
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3146
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4199
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3844
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DreadPoor/Asymmetric_Linearity-8B-Model_Stock/ad58e69a-0917-4375-9e83-5db2ad50d0ca.json b/data/hfopenllm_v2/DreadPoor/Asymmetric_Linearity-8B-Model_Stock/ad58e69a-0917-4375-9e83-5db2ad50d0ca.json
deleted file mode 100644
index 1bf5416e0..000000000
--- a/data/hfopenllm_v2/DreadPoor/Asymmetric_Linearity-8B-Model_Stock/ad58e69a-0917-4375-9e83-5db2ad50d0ca.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/DreadPoor_Asymmetric_Linearity-8B-Model_Stock/1762652579.5654871",
-  "retrieved_timestamp": "1762652579.565488",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "DreadPoor/Asymmetric_Linearity-8B-Model_Stock",
-    "developer": "DreadPoor",
-    "inference_platform": "unknown",
-    "id": "DreadPoor/Asymmetric_Linearity-8B-Model_Stock",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
-        "score": 0.3843916223404255
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-}
diff --git a/data/hfopenllm_v2/DreadPoor/Aurora_faustus-8B-LINEAR/91a71a49-5dd4-43b1-9e1c-fd9492236712.json b/data/hfopenllm_v2/DreadPoor/Aurora_faustus-8B-LINEAR/91a71a49-5dd4-43b1-9e1c-fd9492236712.json
new file mode 100644
index 000000000..ea3d38b72
--- /dev/null
+++ b/data/hfopenllm_v2/DreadPoor/Aurora_faustus-8B-LINEAR/91a71a49-5dd4-43b1-9e1c-fd9492236712.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/DreadPoor_Aurora_faustus-8B-LINEAR/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Aurora_faustus-8B-LINEAR",
+    "id": "DreadPoor/Aurora_faustus-8B-LINEAR",
+    "developer": "DreadPoor",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7281
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5516
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1707
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.307
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4146
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3842
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DreadPoor/Aurora_faustus-8B-LINEAR/c8b72a17-837a-45ed-b285-bf472a4f6d45.json b/data/hfopenllm_v2/DreadPoor/Aurora_faustus-8B-LINEAR/c8b72a17-837a-45ed-b285-bf472a4f6d45.json
deleted file mode 100644
index c707a7d77..000000000
--- a/data/hfopenllm_v2/DreadPoor/Aurora_faustus-8B-LINEAR/c8b72a17-837a-45ed-b285-bf472a4f6d45.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/DreadPoor_Aurora_faustus-8B-LINEAR/1762652579.565701",
-  "retrieved_timestamp": "1762652579.565702",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "DreadPoor/Aurora_faustus-8B-LINEAR",
-    "developer": "DreadPoor",
-    "inference_platform": "unknown",
-    "id": "DreadPoor/Aurora_faustus-8B-LINEAR",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7281003293483512
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5515538279425277
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
-        "score": 0.17069486404833836
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3070469798657718
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-    },
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-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4145833333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3842253989361702
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/DreadPoor/Aurora_faustus-8B-LORABLATED/05707286-d03b-4cb2-9a0f-48245c867cc7.json b/data/hfopenllm_v2/DreadPoor/Aurora_faustus-8B-LORABLATED/05707286-d03b-4cb2-9a0f-48245c867cc7.json
deleted file mode 100644
index c0b240439..000000000
--- a/data/hfopenllm_v2/DreadPoor/Aurora_faustus-8B-LORABLATED/05707286-d03b-4cb2-9a0f-48245c867cc7.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/DreadPoor_Aurora_faustus-8B-LORABLATED/1762652579.565921",
-  "retrieved_timestamp": "1762652579.565921",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "DreadPoor/Aurora_faustus-8B-LORABLATED",
-    "developer": "DreadPoor",
-    "inference_platform": "unknown",
-    "id": "DreadPoor/Aurora_faustus-8B-LORABLATED",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7527050448365891
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
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-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30201342281879195
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42385416666666664
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.36727061170212766
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/DreadPoor/Aurora_faustus-8B-LORABLATED/d1d48abb-6dcf-4905-958f-c3a3e75feac6.json b/data/hfopenllm_v2/DreadPoor/Aurora_faustus-8B-LORABLATED/d1d48abb-6dcf-4905-958f-c3a3e75feac6.json
new file mode 100644
index 000000000..1abc59610
--- /dev/null
+++ b/data/hfopenllm_v2/DreadPoor/Aurora_faustus-8B-LORABLATED/d1d48abb-6dcf-4905-958f-c3a3e75feac6.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/DreadPoor_Aurora_faustus-8B-LORABLATED/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Aurora_faustus-8B-LORABLATED",
+    "id": "DreadPoor/Aurora_faustus-8B-LORABLATED",
+    "developer": "DreadPoor",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7527
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5392
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1488
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.302
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4239
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3673
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DreadPoor/Aurora_faustus-8B-LORABLATED_ALT/2b644863-f52f-487a-85d1-3fc3ce973d90.json b/data/hfopenllm_v2/DreadPoor/Aurora_faustus-8B-LORABLATED_ALT/2b644863-f52f-487a-85d1-3fc3ce973d90.json
deleted file mode 100644
index 0a6157e91..000000000
--- a/data/hfopenllm_v2/DreadPoor/Aurora_faustus-8B-LORABLATED_ALT/2b644863-f52f-487a-85d1-3fc3ce973d90.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/DreadPoor_Aurora_faustus-8B-LORABLATED_ALT/1762652579.566129",
-  "retrieved_timestamp": "1762652579.56613",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "DreadPoor/Aurora_faustus-8B-LORABLATED_ALT",
-    "developer": "DreadPoor",
-    "inference_platform": "unknown",
-    "id": "DreadPoor/Aurora_faustus-8B-LORABLATED_ALT",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7377923908562614
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5387670721191214
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
-        "score": 0.15861027190332327
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-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2986577181208054
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4225208333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.36943151595744683
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/DreadPoor/Aurora_faustus-8B-LORABLATED_ALT/68282f29-f56f-420b-bd1e-9cc54783c1a5.json b/data/hfopenllm_v2/DreadPoor/Aurora_faustus-8B-LORABLATED_ALT/68282f29-f56f-420b-bd1e-9cc54783c1a5.json
new file mode 100644
index 000000000..12017ff39
--- /dev/null
+++ b/data/hfopenllm_v2/DreadPoor/Aurora_faustus-8B-LORABLATED_ALT/68282f29-f56f-420b-bd1e-9cc54783c1a5.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/DreadPoor_Aurora_faustus-8B-LORABLATED_ALT/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Aurora_faustus-8B-LORABLATED_ALT",
+    "id": "DreadPoor/Aurora_faustus-8B-LORABLATED_ALT",
+    "developer": "DreadPoor",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7378
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5388
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1586
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2987
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4225
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3694
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DreadPoor/Autumn_Dawn-8B-LINEAR/4f1d1b68-311f-4409-bf5b-41629a889da3.json b/data/hfopenllm_v2/DreadPoor/Autumn_Dawn-8B-LINEAR/4f1d1b68-311f-4409-bf5b-41629a889da3.json
deleted file mode 100644
index b9656bb5a..000000000
--- a/data/hfopenllm_v2/DreadPoor/Autumn_Dawn-8B-LINEAR/4f1d1b68-311f-4409-bf5b-41629a889da3.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/DreadPoor_Autumn_Dawn-8B-LINEAR/1762652579.566346",
-  "retrieved_timestamp": "1762652579.5663471",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "DreadPoor/Autumn_Dawn-8B-LINEAR",
-    "developer": "DreadPoor",
-    "inference_platform": "unknown",
-    "id": "DreadPoor/Autumn_Dawn-8B-LINEAR",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7292993701157373
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5459436958014627
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.18580060422960726
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2936241610738255
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4185520833333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.39677526595744683
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/DreadPoor/Autumn_Dawn-8B-LINEAR/cd1c84dc-6c6e-4789-add7-0e3ca783b0ea.json b/data/hfopenllm_v2/DreadPoor/Autumn_Dawn-8B-LINEAR/cd1c84dc-6c6e-4789-add7-0e3ca783b0ea.json
new file mode 100644
index 000000000..ab92e181e
--- /dev/null
+++ b/data/hfopenllm_v2/DreadPoor/Autumn_Dawn-8B-LINEAR/cd1c84dc-6c6e-4789-add7-0e3ca783b0ea.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/DreadPoor_Autumn_Dawn-8B-LINEAR/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Autumn_Dawn-8B-LINEAR",
+    "id": "DreadPoor/Autumn_Dawn-8B-LINEAR",
+    "developer": "DreadPoor",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7293
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5459
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1858
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2936
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4186
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3968
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DreadPoor/BaeZel-8B-LINEAR/22a9d3b8-ac45-4433-8926-5d28681af922.json b/data/hfopenllm_v2/DreadPoor/BaeZel-8B-LINEAR/22a9d3b8-ac45-4433-8926-5d28681af922.json
new file mode 100644
index 000000000..52019043a
--- /dev/null
+++ b/data/hfopenllm_v2/DreadPoor/BaeZel-8B-LINEAR/22a9d3b8-ac45-4433-8926-5d28681af922.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/DreadPoor_BaeZel-8B-LINEAR/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "BaeZel-8B-LINEAR",
+    "id": "DreadPoor/BaeZel-8B-LINEAR",
+    "developer": "DreadPoor",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7378
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5464
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1813
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3213
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4227
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3861
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DreadPoor/BaeZel-8B-LINEAR/f3af4295-9508-4a3e-ba5a-6336a560fd6c.json b/data/hfopenllm_v2/DreadPoor/BaeZel-8B-LINEAR/f3af4295-9508-4a3e-ba5a-6336a560fd6c.json
deleted file mode 100644
index abfa99fc3..000000000
--- a/data/hfopenllm_v2/DreadPoor/BaeZel-8B-LINEAR/f3af4295-9508-4a3e-ba5a-6336a560fd6c.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/DreadPoor_BaeZel-8B-LINEAR/1762652579.56655",
-  "retrieved_timestamp": "1762652579.566551",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "DreadPoor/BaeZel-8B-LINEAR",
-    "developer": "DreadPoor",
-    "inference_platform": "unknown",
-    "id": "DreadPoor/BaeZel-8B-LINEAR",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7377923908562614
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5463800554321383
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.18126888217522658
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3213087248322148
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-}
diff --git a/data/hfopenllm_v2/DreadPoor/BaeZel-8B-Model_Stock/31395ff6-82da-4585-85d6-459fcac9408f.json b/data/hfopenllm_v2/DreadPoor/BaeZel-8B-Model_Stock/31395ff6-82da-4585-85d6-459fcac9408f.json
deleted file mode 100644
index e09c0c427..000000000
--- a/data/hfopenllm_v2/DreadPoor/BaeZel-8B-Model_Stock/31395ff6-82da-4585-85d6-459fcac9408f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/DreadPoor_BaeZel-8B-Model_Stock/1762652579.566763",
-  "retrieved_timestamp": "1762652579.566764",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "DreadPoor/BaeZel-8B-Model_Stock",
-    "developer": "DreadPoor",
-    "inference_platform": "unknown",
-    "id": "DreadPoor/BaeZel-8B-Model_Stock",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7713145564878965
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5407680550216925
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.16389728096676737
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.313758389261745
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41991666666666666
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.38804853723404253
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/DreadPoor/BaeZel-8B-Model_Stock/57c4b9eb-dffd-4623-a2d5-b2374d3c9109.json b/data/hfopenllm_v2/DreadPoor/BaeZel-8B-Model_Stock/57c4b9eb-dffd-4623-a2d5-b2374d3c9109.json
new file mode 100644
index 000000000..0d62d9248
--- /dev/null
+++ b/data/hfopenllm_v2/DreadPoor/BaeZel-8B-Model_Stock/57c4b9eb-dffd-4623-a2d5-b2374d3c9109.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/DreadPoor_BaeZel-8B-Model_Stock/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "BaeZel-8B-Model_Stock",
+    "id": "DreadPoor/BaeZel-8B-Model_Stock",
+    "developer": "DreadPoor",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7713
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5408
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1639
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3138
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4199
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.388
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DreadPoor/BaeZel_V2-8B-Model_Stock/24adbd8c-df3a-4b58-94e6-61a3dfa6828e.json b/data/hfopenllm_v2/DreadPoor/BaeZel_V2-8B-Model_Stock/24adbd8c-df3a-4b58-94e6-61a3dfa6828e.json
new file mode 100644
index 000000000..92150ff2e
--- /dev/null
+++ b/data/hfopenllm_v2/DreadPoor/BaeZel_V2-8B-Model_Stock/24adbd8c-df3a-4b58-94e6-61a3dfa6828e.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/DreadPoor_BaeZel_V2-8B-Model_Stock/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "BaeZel_V2-8B-Model_Stock",
+    "id": "DreadPoor/BaeZel_V2-8B-Model_Stock",
+    "developer": "DreadPoor",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7677
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5374
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1798
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2995
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4186
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3947
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DreadPoor/BaeZel_V2-8B-Model_Stock/cdacd0e9-fa22-4053-b16d-d3bac8541829.json b/data/hfopenllm_v2/DreadPoor/BaeZel_V2-8B-Model_Stock/cdacd0e9-fa22-4053-b16d-d3bac8541829.json
deleted file mode 100644
index 6cf48369d..000000000
--- a/data/hfopenllm_v2/DreadPoor/BaeZel_V2-8B-Model_Stock/cdacd0e9-fa22-4053-b16d-d3bac8541829.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/DreadPoor_BaeZel_V2-8B-Model_Stock/1762652579.566977",
-  "retrieved_timestamp": "1762652579.566978",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "DreadPoor/BaeZel_V2-8B-Model_Stock",
-    "developer": "DreadPoor",
-    "inference_platform": "unknown",
-    "id": "DreadPoor/BaeZel_V2-8B-Model_Stock",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7676675665013276
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5373871612758611
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1797583081570997
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.29949664429530204
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4185833333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3946974734042553
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/DreadPoor/BaeZel_V2_ALT-8B-Model_Stock/08ac7c80-0f13-43c9-a538-683eb6927b59.json b/data/hfopenllm_v2/DreadPoor/BaeZel_V2_ALT-8B-Model_Stock/08ac7c80-0f13-43c9-a538-683eb6927b59.json
deleted file mode 100644
index 8e4c6bd7e..000000000
--- a/data/hfopenllm_v2/DreadPoor/BaeZel_V2_ALT-8B-Model_Stock/08ac7c80-0f13-43c9-a538-683eb6927b59.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/DreadPoor_BaeZel_V2_ALT-8B-Model_Stock/1762652579.567195",
-  "retrieved_timestamp": "1762652579.567196",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "DreadPoor/BaeZel_V2_ALT-8B-Model_Stock",
-    "developer": "DreadPoor",
-    "inference_platform": "unknown",
-    "id": "DreadPoor/BaeZel_V2_ALT-8B-Model_Stock",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7676675665013276
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5373871612758611
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1797583081570997
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.29949664429530204
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4185833333333333
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3946974734042553
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/DreadPoor/BaeZel_V2_ALT-8B-Model_Stock/6ed62f64-c2be-4bca-b17d-bd0184a3d498.json b/data/hfopenllm_v2/DreadPoor/BaeZel_V2_ALT-8B-Model_Stock/6ed62f64-c2be-4bca-b17d-bd0184a3d498.json
new file mode 100644
index 000000000..4fbb404d5
--- /dev/null
+++ b/data/hfopenllm_v2/DreadPoor/BaeZel_V2_ALT-8B-Model_Stock/6ed62f64-c2be-4bca-b17d-bd0184a3d498.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/DreadPoor_BaeZel_V2_ALT-8B-Model_Stock/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "BaeZel_V2_ALT-8B-Model_Stock",
+    "id": "DreadPoor/BaeZel_V2_ALT-8B-Model_Stock",
+    "developer": "DreadPoor",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7677
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5374
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1798
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2995
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4186
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3947
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DreadPoor/BaeZel_V3-8B-Model_Stock/91ec0c61-73ca-463f-b3be-3386293e4fc0.json b/data/hfopenllm_v2/DreadPoor/BaeZel_V3-8B-Model_Stock/91ec0c61-73ca-463f-b3be-3386293e4fc0.json
deleted file mode 100644
index b189f9081..000000000
--- a/data/hfopenllm_v2/DreadPoor/BaeZel_V3-8B-Model_Stock/91ec0c61-73ca-463f-b3be-3386293e4fc0.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/DreadPoor_BaeZel_V3-8B-Model_Stock/1762652579.5674188",
-  "retrieved_timestamp": "1762652579.56742",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "DreadPoor/BaeZel_V3-8B-Model_Stock",
-    "developer": "DreadPoor",
-    "inference_platform": "unknown",
-    "id": "DreadPoor/BaeZel_V3-8B-Model_Stock",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7831797408653485
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.539231076759135
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.18957703927492447
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.32046979865771813
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41743749999999996
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3887965425531915
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/DreadPoor/BaeZel_V3-8B-Model_Stock/db9e4d03-03a8-4a10-8739-16bbcfbb06d4.json b/data/hfopenllm_v2/DreadPoor/BaeZel_V3-8B-Model_Stock/db9e4d03-03a8-4a10-8739-16bbcfbb06d4.json
new file mode 100644
index 000000000..6a2b2bd8f
--- /dev/null
+++ b/data/hfopenllm_v2/DreadPoor/BaeZel_V3-8B-Model_Stock/db9e4d03-03a8-4a10-8739-16bbcfbb06d4.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/DreadPoor_BaeZel_V3-8B-Model_Stock/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "BaeZel_V3-8B-Model_Stock",
+    "id": "DreadPoor/BaeZel_V3-8B-Model_Stock",
+    "developer": "DreadPoor",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7832
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5392
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1896
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3205
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4174
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3888
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DreadPoor/Blunt_Edge-8B-SLERP/35807c64-beed-4022-a4ba-1284c5f6124f.json b/data/hfopenllm_v2/DreadPoor/Blunt_Edge-8B-SLERP/35807c64-beed-4022-a4ba-1284c5f6124f.json
deleted file mode 100644
index f5471ea1c..000000000
--- a/data/hfopenllm_v2/DreadPoor/Blunt_Edge-8B-SLERP/35807c64-beed-4022-a4ba-1284c5f6124f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/DreadPoor_Blunt_Edge-8B-SLERP/1762652579.567633",
-  "retrieved_timestamp": "1762652579.5676339",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "DreadPoor/Blunt_Edge-8B-SLERP",
-    "developer": "DreadPoor",
-    "inference_platform": "unknown",
-    "id": "DreadPoor/Blunt_Edge-8B-SLERP",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7496575752337131
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5389470863694941
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.18580060422960726
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.311241610738255
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.417375
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37666223404255317
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/DreadPoor/Blunt_Edge-8B-SLERP/7b0fc4fe-51c8-4f01-b07b-5bca05b40859.json b/data/hfopenllm_v2/DreadPoor/Blunt_Edge-8B-SLERP/7b0fc4fe-51c8-4f01-b07b-5bca05b40859.json
new file mode 100644
index 000000000..c3a3e4356
--- /dev/null
+++ b/data/hfopenllm_v2/DreadPoor/Blunt_Edge-8B-SLERP/7b0fc4fe-51c8-4f01-b07b-5bca05b40859.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/DreadPoor_Blunt_Edge-8B-SLERP/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Blunt_Edge-8B-SLERP",
+    "id": "DreadPoor/Blunt_Edge-8B-SLERP",
+    "developer": "DreadPoor",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7497
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5389
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1858
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3112
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4174
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3767
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DreadPoor/BulkUp/3c2e7750-3257-4012-8b43-44387707170c.json b/data/hfopenllm_v2/DreadPoor/BulkUp/3c2e7750-3257-4012-8b43-44387707170c.json
deleted file mode 100644
index f131cd31b..000000000
--- a/data/hfopenllm_v2/DreadPoor/BulkUp/3c2e7750-3257-4012-8b43-44387707170c.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/DreadPoor_BulkUp/1762652579.567868",
-  "retrieved_timestamp": "1762652579.567869",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "DreadPoor/BulkUp",
-    "developer": "DreadPoor",
-    "inference_platform": "unknown",
-    "id": "DreadPoor/BulkUp",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.177804891022487
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.28698602947692575
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.0
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.24748322147651006
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3446666666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11095412234042554
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/DreadPoor/BulkUp/6f286418-d8e3-4c11-8941-cfe5a18b1037.json b/data/hfopenllm_v2/DreadPoor/BulkUp/6f286418-d8e3-4c11-8941-cfe5a18b1037.json
new file mode 100644
index 000000000..dfd176ab1
--- /dev/null
+++ b/data/hfopenllm_v2/DreadPoor/BulkUp/6f286418-d8e3-4c11-8941-cfe5a18b1037.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/DreadPoor_BulkUp/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "BulkUp",
+    "id": "DreadPoor/BulkUp",
+    "developer": "DreadPoor",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1778
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.287
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2475
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3447
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.111
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DreadPoor/Cadence-8B-LINEAR/8be55d6b-7fe0-41cf-86a6-66327dd88003.json b/data/hfopenllm_v2/DreadPoor/Cadence-8B-LINEAR/8be55d6b-7fe0-41cf-86a6-66327dd88003.json
deleted file mode 100644
index 62b98656a..000000000
--- a/data/hfopenllm_v2/DreadPoor/Cadence-8B-LINEAR/8be55d6b-7fe0-41cf-86a6-66327dd88003.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/DreadPoor_Cadence-8B-LINEAR/1762652579.568077",
-  "retrieved_timestamp": "1762652579.568078",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "DreadPoor/Cadence-8B-LINEAR",
-    "developer": "DreadPoor",
-    "inference_platform": "unknown",
-    "id": "DreadPoor/Cadence-8B-LINEAR",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7682172192006099
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5433358555450108
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.16767371601208458
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3028523489932886
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41734374999999996
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3803191489361702
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/DreadPoor/Cadence-8B-LINEAR/b0a83b1f-3af2-45e8-9d88-d7302a529112.json b/data/hfopenllm_v2/DreadPoor/Cadence-8B-LINEAR/b0a83b1f-3af2-45e8-9d88-d7302a529112.json
new file mode 100644
index 000000000..6b7ee9836
--- /dev/null
+++ b/data/hfopenllm_v2/DreadPoor/Cadence-8B-LINEAR/b0a83b1f-3af2-45e8-9d88-d7302a529112.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/DreadPoor_Cadence-8B-LINEAR/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Cadence-8B-LINEAR",
+    "id": "DreadPoor/Cadence-8B-LINEAR",
+    "developer": "DreadPoor",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7682
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5433
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1677
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3029
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4173
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3803
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DreadPoor/Caelid-8B-Model_Stock/0462fce1-51b4-48d8-8278-a90048ffd637.json b/data/hfopenllm_v2/DreadPoor/Caelid-8B-Model_Stock/0462fce1-51b4-48d8-8278-a90048ffd637.json
new file mode 100644
index 000000000..2d3dba8f9
--- /dev/null
+++ b/data/hfopenllm_v2/DreadPoor/Caelid-8B-Model_Stock/0462fce1-51b4-48d8-8278-a90048ffd637.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/DreadPoor_Caelid-8B-Model_Stock/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Caelid-8B-Model_Stock",
+    "id": "DreadPoor/Caelid-8B-Model_Stock",
+    "developer": "DreadPoor",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7247
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.546
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1511
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3104
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4001
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3816
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DreadPoor/Caelid-8B-Model_Stock/8b15f9a3-6f39-4210-b48f-4dc5569114e2.json b/data/hfopenllm_v2/DreadPoor/Caelid-8B-Model_Stock/8b15f9a3-6f39-4210-b48f-4dc5569114e2.json
deleted file mode 100644
index 5e33d053c..000000000
--- a/data/hfopenllm_v2/DreadPoor/Caelid-8B-Model_Stock/8b15f9a3-6f39-4210-b48f-4dc5569114e2.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/DreadPoor_Caelid-8B-Model_Stock/1762652579.5682912",
-  "retrieved_timestamp": "1762652579.5682921",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "DreadPoor/Caelid-8B-Model_Stock",
-    "developer": "DreadPoor",
-    "inference_platform": "unknown",
-    "id": "DreadPoor/Caelid-8B-Model_Stock",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7247281657114235
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
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-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
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diff --git a/data/hfopenllm_v2/DreadPoor/Casuar-9B-Model_Stock/7c5c8fd8-2fbb-41f3-88f3-92a544200204.json b/data/hfopenllm_v2/DreadPoor/Casuar-9B-Model_Stock/7c5c8fd8-2fbb-41f3-88f3-92a544200204.json
deleted file mode 100644
index 1b3ce8a6f..000000000
--- a/data/hfopenllm_v2/DreadPoor/Casuar-9B-Model_Stock/7c5c8fd8-2fbb-41f3-88f3-92a544200204.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/DreadPoor_Casuar-9B-Model_Stock/1762652579.5685189",
-  "retrieved_timestamp": "1762652579.5685189",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "DreadPoor/Casuar-9B-Model_Stock",
-    "developer": "DreadPoor",
-    "inference_platform": "unknown",
-    "id": "DreadPoor/Casuar-9B-Model_Stock",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Gemma2ForCausalLM",
-      "params_billions": 9.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6106681877306871
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-        "score": 0.21299093655589124
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3447986577181208
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41654166666666664
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4156416223404255
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/DreadPoor/Casuar-9B-Model_Stock/e02f597c-c368-4223-ac90-c99d82c90634.json b/data/hfopenllm_v2/DreadPoor/Casuar-9B-Model_Stock/e02f597c-c368-4223-ac90-c99d82c90634.json
new file mode 100644
index 000000000..c97dcca00
--- /dev/null
+++ b/data/hfopenllm_v2/DreadPoor/Casuar-9B-Model_Stock/e02f597c-c368-4223-ac90-c99d82c90634.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/DreadPoor_Casuar-9B-Model_Stock/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Casuar-9B-Model_Stock",
+    "id": "DreadPoor/Casuar-9B-Model_Stock",
+    "developer": "DreadPoor",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Gemma2ForCausalLM",
+      "params_billions": 9.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7765
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6107
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.213
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3448
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4165
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4156
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DreadPoor/Condensed_Milk-8B-Model_Stock/32e63ffc-c64e-4562-ba99-14873f5bac2e.json b/data/hfopenllm_v2/DreadPoor/Condensed_Milk-8B-Model_Stock/32e63ffc-c64e-4562-ba99-14873f5bac2e.json
new file mode 100644
index 000000000..3cd2321bc
--- /dev/null
+++ b/data/hfopenllm_v2/DreadPoor/Condensed_Milk-8B-Model_Stock/32e63ffc-c64e-4562-ba99-14873f5bac2e.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/DreadPoor_Condensed_Milk-8B-Model_Stock/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Condensed_Milk-8B-Model_Stock",
+    "id": "DreadPoor/Condensed_Milk-8B-Model_Stock",
+    "developer": "DreadPoor",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7536
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5435
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1745
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3213
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.416
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3876
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DreadPoor/Condensed_Milk-8B-Model_Stock/58573d8e-602a-4088-8dec-a738b7e55e9c.json b/data/hfopenllm_v2/DreadPoor/Condensed_Milk-8B-Model_Stock/58573d8e-602a-4088-8dec-a738b7e55e9c.json
deleted file mode 100644
index 64ffeb572..000000000
--- a/data/hfopenllm_v2/DreadPoor/Condensed_Milk-8B-Model_Stock/58573d8e-602a-4088-8dec-a738b7e55e9c.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/DreadPoor_Condensed_Milk-8B-Model_Stock/1762652579.568758",
-  "retrieved_timestamp": "1762652579.568759",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "DreadPoor/Condensed_Milk-8B-Model_Stock",
-    "developer": "DreadPoor",
-    "inference_platform": "unknown",
-    "id": "DreadPoor/Condensed_Milk-8B-Model_Stock",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7536292592543341
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5434864122121906
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.17447129909365558
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3213087248322148
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41601041666666666
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.38763297872340424
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/DreadPoor/CoolerCoder-8B-LINEAR/6af4faad-05c2-488b-9685-e11ae4e1cbf0.json b/data/hfopenllm_v2/DreadPoor/CoolerCoder-8B-LINEAR/6af4faad-05c2-488b-9685-e11ae4e1cbf0.json
new file mode 100644
index 000000000..c49036cd8
--- /dev/null
+++ b/data/hfopenllm_v2/DreadPoor/CoolerCoder-8B-LINEAR/6af4faad-05c2-488b-9685-e11ae4e1cbf0.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/DreadPoor_CoolerCoder-8B-LINEAR/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "CoolerCoder-8B-LINEAR",
+    "id": "DreadPoor/CoolerCoder-8B-LINEAR",
+    "developer": "DreadPoor",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4519
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4762
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0793
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2903
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3964
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3159
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DreadPoor/CoolerCoder-8B-LINEAR/b3bc4e42-5850-45bd-a0a1-ff6779c04fce.json b/data/hfopenllm_v2/DreadPoor/CoolerCoder-8B-LINEAR/b3bc4e42-5850-45bd-a0a1-ff6779c04fce.json
deleted file mode 100644
index f278993a8..000000000
--- a/data/hfopenllm_v2/DreadPoor/CoolerCoder-8B-LINEAR/b3bc4e42-5850-45bd-a0a1-ff6779c04fce.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/DreadPoor_CoolerCoder-8B-LINEAR/1762652579.568993",
-  "retrieved_timestamp": "1762652579.568993",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "DreadPoor/CoolerCoder-8B-LINEAR",
-    "developer": "DreadPoor",
-    "inference_platform": "unknown",
-    "id": "DreadPoor/CoolerCoder-8B-LINEAR",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4519286603988528
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4761504835496542
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.07930513595166164
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2902684563758389
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3963541666666666
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.31590757978723405
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/DreadPoor/Damasteel-8B-LINEAR/8aa7701b-7019-44a0-851f-cfc9108fdfbd.json b/data/hfopenllm_v2/DreadPoor/Damasteel-8B-LINEAR/8aa7701b-7019-44a0-851f-cfc9108fdfbd.json
new file mode 100644
index 000000000..7160aa1de
--- /dev/null
+++ b/data/hfopenllm_v2/DreadPoor/Damasteel-8B-LINEAR/8aa7701b-7019-44a0-851f-cfc9108fdfbd.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/DreadPoor_Damasteel-8B-LINEAR/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Damasteel-8B-LINEAR",
+    "id": "DreadPoor/Damasteel-8B-LINEAR",
+    "developer": "DreadPoor",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7384
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5388
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1669
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2987
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4212
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3779
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DreadPoor/Damasteel-8B-LINEAR/b0a2ef10-8705-4eae-892d-51f3633dcd87.json b/data/hfopenllm_v2/DreadPoor/Damasteel-8B-LINEAR/b0a2ef10-8705-4eae-892d-51f3633dcd87.json
deleted file mode 100644
index beeb6ee56..000000000
--- a/data/hfopenllm_v2/DreadPoor/Damasteel-8B-LINEAR/b0a2ef10-8705-4eae-892d-51f3633dcd87.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/DreadPoor_Damasteel-8B-LINEAR/1762652579.569221",
-  "retrieved_timestamp": "1762652579.569222",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "DreadPoor/Damasteel-8B-LINEAR",
-    "developer": "DreadPoor",
-    "inference_platform": "unknown",
-    "id": "DreadPoor/Damasteel-8B-LINEAR",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7384417789243651
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5388142176959776
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.16691842900302115
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2986577181208054
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42124999999999996
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3779089095744681
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/DreadPoor/Dearly_Beloved-8B-TIES/3d46ee0f-8ec0-4723-ac8d-fe88db7053c1.json b/data/hfopenllm_v2/DreadPoor/Dearly_Beloved-8B-TIES/3d46ee0f-8ec0-4723-ac8d-fe88db7053c1.json
deleted file mode 100644
index 247974d43..000000000
--- a/data/hfopenllm_v2/DreadPoor/Dearly_Beloved-8B-TIES/3d46ee0f-8ec0-4723-ac8d-fe88db7053c1.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/DreadPoor_Dearly_Beloved-8B-TIES/1762652579.569437",
-  "retrieved_timestamp": "1762652579.569438",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "DreadPoor/Dearly_Beloved-8B-TIES",
-    "developer": "DreadPoor",
-    "inference_platform": "unknown",
-    "id": "DreadPoor/Dearly_Beloved-8B-TIES",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.8266687943545348
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4049833102731906
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.21148036253776434
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2986577181208054
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41746875
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2826628989361702
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/DreadPoor/Dearly_Beloved-8B-TIES/a2f95fad-5ab5-47d0-b9aa-33358c673caf.json b/data/hfopenllm_v2/DreadPoor/Dearly_Beloved-8B-TIES/a2f95fad-5ab5-47d0-b9aa-33358c673caf.json
new file mode 100644
index 000000000..a39f8ede9
--- /dev/null
+++ b/data/hfopenllm_v2/DreadPoor/Dearly_Beloved-8B-TIES/a2f95fad-5ab5-47d0-b9aa-33358c673caf.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/DreadPoor_Dearly_Beloved-8B-TIES/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Dearly_Beloved-8B-TIES",
+    "id": "DreadPoor/Dearly_Beloved-8B-TIES",
+    "developer": "DreadPoor",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.8267
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.405
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2115
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2987
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4175
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2827
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DreadPoor/Decayed-8B-LINEAR/5658866d-fd86-4203-b14f-84f9a4784028.json b/data/hfopenllm_v2/DreadPoor/Decayed-8B-LINEAR/5658866d-fd86-4203-b14f-84f9a4784028.json
deleted file mode 100644
index 1731b863f..000000000
--- a/data/hfopenllm_v2/DreadPoor/Decayed-8B-LINEAR/5658866d-fd86-4203-b14f-84f9a4784028.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
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-  "retrieved_timestamp": "1762652579.569655",
-  "source_data": [
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-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
-    "name": "DreadPoor/Decayed-8B-LINEAR",
-    "developer": "DreadPoor",
-    "inference_platform": "unknown",
-    "id": "DreadPoor/Decayed-8B-LINEAR",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7676176988169169
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
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-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30956375838926176
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-    },
-    {
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-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37632978723404253
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/DreadPoor/Decayed-8B-LINEAR/aef73a77-9df7-4d4f-89ef-50905d326198.json b/data/hfopenllm_v2/DreadPoor/Decayed-8B-LINEAR/aef73a77-9df7-4d4f-89ef-50905d326198.json
new file mode 100644
index 000000000..28e908428
--- /dev/null
+++ b/data/hfopenllm_v2/DreadPoor/Decayed-8B-LINEAR/aef73a77-9df7-4d4f-89ef-50905d326198.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/DreadPoor_Decayed-8B-LINEAR/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Decayed-8B-LINEAR",
+    "id": "DreadPoor/Decayed-8B-LINEAR",
+    "developer": "DreadPoor",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7676
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5417
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1715
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3096
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4186
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3763
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DreadPoor/Derivative-8B-Model_Stock/9ef7e716-8638-46ac-a455-f601c1cfddc1.json b/data/hfopenllm_v2/DreadPoor/Derivative-8B-Model_Stock/9ef7e716-8638-46ac-a455-f601c1cfddc1.json
deleted file mode 100644
index 034625812..000000000
--- a/data/hfopenllm_v2/DreadPoor/Derivative-8B-Model_Stock/9ef7e716-8638-46ac-a455-f601c1cfddc1.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/DreadPoor_Derivative-8B-Model_Stock/1762652579.569859",
-  "retrieved_timestamp": "1762652579.56986",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "DreadPoor/Derivative-8B-Model_Stock",
-    "developer": "DreadPoor",
-    "inference_platform": "unknown",
-    "id": "DreadPoor/Derivative-8B-Model_Stock",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7667433520835827
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5395493987763994
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.31711409395973156
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42004166666666665
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3810671542553192
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/DreadPoor/Derivative-8B-Model_Stock/e9ffdfb6-6f91-4bac-89d2-40b1eb43f3ee.json b/data/hfopenllm_v2/DreadPoor/Derivative-8B-Model_Stock/e9ffdfb6-6f91-4bac-89d2-40b1eb43f3ee.json
new file mode 100644
index 000000000..5b83a9506
--- /dev/null
+++ b/data/hfopenllm_v2/DreadPoor/Derivative-8B-Model_Stock/e9ffdfb6-6f91-4bac-89d2-40b1eb43f3ee.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/DreadPoor_Derivative-8B-Model_Stock/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Derivative-8B-Model_Stock",
+    "id": "DreadPoor/Derivative-8B-Model_Stock",
+    "developer": "DreadPoor",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7667
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5395
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.179
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3171
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.42
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3811
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DreadPoor/Derivative_V2-8B-Model_Stock/3320dceb-b5ef-4267-81d3-b6fe2a415eee.json b/data/hfopenllm_v2/DreadPoor/Derivative_V2-8B-Model_Stock/3320dceb-b5ef-4267-81d3-b6fe2a415eee.json
deleted file mode 100644
index 8d61d283a..000000000
--- a/data/hfopenllm_v2/DreadPoor/Derivative_V2-8B-Model_Stock/3320dceb-b5ef-4267-81d3-b6fe2a415eee.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/DreadPoor_Derivative_V2-8B-Model_Stock/1762652579.5701172",
-  "retrieved_timestamp": "1762652579.570118",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "DreadPoor/Derivative_V2-8B-Model_Stock",
-    "developer": "DreadPoor",
-    "inference_platform": "unknown",
-    "id": "DreadPoor/Derivative_V2-8B-Model_Stock",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7536791269387447
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5392643954415269
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1797583081570997
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3070469798657718
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41229166666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.38563829787234044
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/DreadPoor/Derivative_V2-8B-Model_Stock/8ff39438-907c-465f-ac7a-5a25cfd8d824.json b/data/hfopenllm_v2/DreadPoor/Derivative_V2-8B-Model_Stock/8ff39438-907c-465f-ac7a-5a25cfd8d824.json
new file mode 100644
index 000000000..332287ece
--- /dev/null
+++ b/data/hfopenllm_v2/DreadPoor/Derivative_V2-8B-Model_Stock/8ff39438-907c-465f-ac7a-5a25cfd8d824.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/DreadPoor_Derivative_V2-8B-Model_Stock/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Derivative_V2-8B-Model_Stock",
+    "id": "DreadPoor/Derivative_V2-8B-Model_Stock",
+    "developer": "DreadPoor",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7537
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5393
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.307
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4123
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+        "score": 0.3856
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DreadPoor/Derivative_V2_ALT-8B-Model_Stock/83d831c5-a74f-4699-9961-664a7a51b7b8.json b/data/hfopenllm_v2/DreadPoor/Derivative_V2_ALT-8B-Model_Stock/83d831c5-a74f-4699-9961-664a7a51b7b8.json
new file mode 100644
index 000000000..2b2d015d1
--- /dev/null
+++ b/data/hfopenllm_v2/DreadPoor/Derivative_V2_ALT-8B-Model_Stock/83d831c5-a74f-4699-9961-664a7a51b7b8.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/DreadPoor_Derivative_V2_ALT-8B-Model_Stock/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Derivative_V2_ALT-8B-Model_Stock",
+    "id": "DreadPoor/Derivative_V2_ALT-8B-Model_Stock",
+    "developer": "DreadPoor",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.772
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5365
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1881
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3112
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4135
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3882
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DreadPoor/Derivative_V2_ALT-8B-Model_Stock/ac19b0a8-1955-4bab-b7ae-451a84dc09c6.json b/data/hfopenllm_v2/DreadPoor/Derivative_V2_ALT-8B-Model_Stock/ac19b0a8-1955-4bab-b7ae-451a84dc09c6.json
deleted file mode 100644
index d5a69254f..000000000
--- a/data/hfopenllm_v2/DreadPoor/Derivative_V2_ALT-8B-Model_Stock/ac19b0a8-1955-4bab-b7ae-451a84dc09c6.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/DreadPoor_Derivative_V2_ALT-8B-Model_Stock/1762652579.570343",
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-  "source_data": [
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-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "DreadPoor/Derivative_V2_ALT-8B-Model_Stock",
-    "developer": "DreadPoor",
-    "inference_platform": "unknown",
-    "id": "DreadPoor/Derivative_V2_ALT-8B-Model_Stock",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
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-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-        "score_type": "continuous",
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-      "score_details": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.38821476063829785
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/DreadPoor/Derivative_V3-8B-Model_Stock/54f51897-7b47-4e95-9c1a-58ecd64caa96.json b/data/hfopenllm_v2/DreadPoor/Derivative_V3-8B-Model_Stock/54f51897-7b47-4e95-9c1a-58ecd64caa96.json
deleted file mode 100644
index 6dc9e976c..000000000
--- a/data/hfopenllm_v2/DreadPoor/Derivative_V3-8B-Model_Stock/54f51897-7b47-4e95-9c1a-58ecd64caa96.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/DreadPoor_Derivative_V3-8B-Model_Stock/1762652579.570688",
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-  "source_data": [
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-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "DreadPoor/Derivative_V3-8B-Model_Stock",
-    "developer": "DreadPoor",
-    "inference_platform": "unknown",
-    "id": "DreadPoor/Derivative_V3-8B-Model_Stock",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
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-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
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-    },
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.29446308724832215
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4149895833333333
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.35023271276595747
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/DreadPoor/Derivative_V3-8B-Model_Stock/83fb88ec-f640-4c1e-b71c-53a123fc4c2e.json b/data/hfopenllm_v2/DreadPoor/Derivative_V3-8B-Model_Stock/83fb88ec-f640-4c1e-b71c-53a123fc4c2e.json
new file mode 100644
index 000000000..cfc2e036f
--- /dev/null
+++ b/data/hfopenllm_v2/DreadPoor/Derivative_V3-8B-Model_Stock/83fb88ec-f640-4c1e-b71c-53a123fc4c2e.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/DreadPoor_Derivative_V3-8B-Model_Stock/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Derivative_V3-8B-Model_Stock",
+    "id": "DreadPoor/Derivative_V3-8B-Model_Stock",
+    "developer": "DreadPoor",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6964
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+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5243
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
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+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2945
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.415
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3502
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DreadPoor/Elusive_Dragon_Heart-8B-LINEAR/3811cc34-45cb-4932-b862-39bf042331e0.json b/data/hfopenllm_v2/DreadPoor/Elusive_Dragon_Heart-8B-LINEAR/3811cc34-45cb-4932-b862-39bf042331e0.json
new file mode 100644
index 000000000..cf8031e7d
--- /dev/null
+++ b/data/hfopenllm_v2/DreadPoor/Elusive_Dragon_Heart-8B-LINEAR/3811cc34-45cb-4932-b862-39bf042331e0.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/DreadPoor_Elusive_Dragon_Heart-8B-LINEAR/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Elusive_Dragon_Heart-8B-LINEAR",
+    "id": "DreadPoor/Elusive_Dragon_Heart-8B-LINEAR",
+    "developer": "DreadPoor",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 4.015
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7131
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+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5456
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.148
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3062
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4146
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3814
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DreadPoor/Elusive_Dragon_Heart-8B-LINEAR/fbc53f61-cb3b-4f85-a724-fc07c6912c22.json b/data/hfopenllm_v2/DreadPoor/Elusive_Dragon_Heart-8B-LINEAR/fbc53f61-cb3b-4f85-a724-fc07c6912c22.json
deleted file mode 100644
index 1322cee85..000000000
--- a/data/hfopenllm_v2/DreadPoor/Elusive_Dragon_Heart-8B-LINEAR/fbc53f61-cb3b-4f85-a724-fc07c6912c22.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/DreadPoor_Elusive_Dragon_Heart-8B-LINEAR/1762652579.570945",
-  "retrieved_timestamp": "1762652579.570946",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "DreadPoor/Elusive_Dragon_Heart-8B-LINEAR",
-    "developer": "DreadPoor",
-    "inference_platform": "unknown",
-    "id": "DreadPoor/Elusive_Dragon_Heart-8B-LINEAR",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 4.015
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7131378076836128
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5456414280881592
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.14803625377643503
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3062080536912752
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4145520833333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3813996010638298
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/DreadPoor/Emu_Eggs-9B-Model_Stock/5b2a16a1-7a2a-40b7-add6-b99378b6af00.json b/data/hfopenllm_v2/DreadPoor/Emu_Eggs-9B-Model_Stock/5b2a16a1-7a2a-40b7-add6-b99378b6af00.json
new file mode 100644
index 000000000..34eb53856
--- /dev/null
+++ b/data/hfopenllm_v2/DreadPoor/Emu_Eggs-9B-Model_Stock/5b2a16a1-7a2a-40b7-add6-b99378b6af00.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/DreadPoor_Emu_Eggs-9B-Model_Stock/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Emu_Eggs-9B-Model_Stock",
+    "id": "DreadPoor/Emu_Eggs-9B-Model_Stock",
+    "developer": "DreadPoor",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Gemma2ForCausalLM",
+      "params_billions": 9.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7607
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6052
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.21
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3331
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4071
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4227
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DreadPoor/Emu_Eggs-9B-Model_Stock/9343177e-5432-47c7-9fb6-90f2dc9125e5.json b/data/hfopenllm_v2/DreadPoor/Emu_Eggs-9B-Model_Stock/9343177e-5432-47c7-9fb6-90f2dc9125e5.json
deleted file mode 100644
index 73eb124c8..000000000
--- a/data/hfopenllm_v2/DreadPoor/Emu_Eggs-9B-Model_Stock/9343177e-5432-47c7-9fb6-90f2dc9125e5.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/DreadPoor_Emu_Eggs-9B-Model_Stock/1762652579.571181",
-  "retrieved_timestamp": "1762652579.571182",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "DreadPoor/Emu_Eggs-9B-Model_Stock",
-    "developer": "DreadPoor",
-    "inference_platform": "unknown",
-    "id": "DreadPoor/Emu_Eggs-9B-Model_Stock",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Gemma2ForCausalLM",
-      "params_billions": 9.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7606982805622415
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6051657213517168
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.20996978851963746
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.33305369127516776
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4070833333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4227061170212766
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/DreadPoor/Eunoia_Vespera-8B-LINEAR/1dc2a5bb-40b6-401e-8f1c-6110cb4c0f0d.json b/data/hfopenllm_v2/DreadPoor/Eunoia_Vespera-8B-LINEAR/1dc2a5bb-40b6-401e-8f1c-6110cb4c0f0d.json
new file mode 100644
index 000000000..be6c2967a
--- /dev/null
+++ b/data/hfopenllm_v2/DreadPoor/Eunoia_Vespera-8B-LINEAR/1dc2a5bb-40b6-401e-8f1c-6110cb4c0f0d.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/DreadPoor_Eunoia_Vespera-8B-LINEAR/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Eunoia_Vespera-8B-LINEAR",
+    "id": "DreadPoor/Eunoia_Vespera-8B-LINEAR",
+    "developer": "DreadPoor",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7235
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5399
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1541
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.307
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4185
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3839
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DreadPoor/Eunoia_Vespera-8B-LINEAR/5a835cef-3db8-40c9-8ae3-022d0719c89e.json b/data/hfopenllm_v2/DreadPoor/Eunoia_Vespera-8B-LINEAR/5a835cef-3db8-40c9-8ae3-022d0719c89e.json
deleted file mode 100644
index 86497226b..000000000
--- a/data/hfopenllm_v2/DreadPoor/Eunoia_Vespera-8B-LINEAR/5a835cef-3db8-40c9-8ae3-022d0719c89e.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/DreadPoor_Eunoia_Vespera-8B-LINEAR/1762652579.571407",
-  "retrieved_timestamp": "1762652579.571407",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "DreadPoor/Eunoia_Vespera-8B-LINEAR",
-    "developer": "DreadPoor",
-    "inference_platform": "unknown",
-    "id": "DreadPoor/Eunoia_Vespera-8B-LINEAR",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7235291249440374
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5399310621081937
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1540785498489426
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3070469798657718
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
-        "score": 0.38389295212765956
-      }
-    }
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-}
diff --git a/data/hfopenllm_v2/DreadPoor/Fu_sion_HA-8B-SLERP/5d6eb91b-518c-41ae-9e52-bb741b005601.json b/data/hfopenllm_v2/DreadPoor/Fu_sion_HA-8B-SLERP/5d6eb91b-518c-41ae-9e52-bb741b005601.json
deleted file mode 100644
index c7edd31e2..000000000
--- a/data/hfopenllm_v2/DreadPoor/Fu_sion_HA-8B-SLERP/5d6eb91b-518c-41ae-9e52-bb741b005601.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/DreadPoor_Fu_sion_HA-8B-SLERP/1762652579.57162",
-  "retrieved_timestamp": "1762652579.5716212",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "DreadPoor/Fu_sion_HA-8B-SLERP",
-    "developer": "DreadPoor",
-    "inference_platform": "unknown",
-    "id": "DreadPoor/Fu_sion_HA-8B-SLERP",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7609232392274721
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5372804197028272
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.17522658610271905
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.32298657718120805
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41601041666666666
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.38248005319148937
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/DreadPoor/Fu_sion_HA-8B-SLERP/742e0a1c-7496-4076-bdbf-ada0a8e528c2.json b/data/hfopenllm_v2/DreadPoor/Fu_sion_HA-8B-SLERP/742e0a1c-7496-4076-bdbf-ada0a8e528c2.json
new file mode 100644
index 000000000..cc65f1f79
--- /dev/null
+++ b/data/hfopenllm_v2/DreadPoor/Fu_sion_HA-8B-SLERP/742e0a1c-7496-4076-bdbf-ada0a8e528c2.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/DreadPoor_Fu_sion_HA-8B-SLERP/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Fu_sion_HA-8B-SLERP",
+    "id": "DreadPoor/Fu_sion_HA-8B-SLERP",
+    "developer": "DreadPoor",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7609
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5373
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1752
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.323
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.416
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3825
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DreadPoor/HOT_STINKING_GARBAGE/70471d77-adb1-49df-ab72-8f43f379ab23.json b/data/hfopenllm_v2/DreadPoor/HOT_STINKING_GARBAGE/70471d77-adb1-49df-ab72-8f43f379ab23.json
deleted file mode 100644
index 3ae33671b..000000000
--- a/data/hfopenllm_v2/DreadPoor/HOT_STINKING_GARBAGE/70471d77-adb1-49df-ab72-8f43f379ab23.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/DreadPoor_HOT_STINKING_GARBAGE/1762652579.571834",
-  "retrieved_timestamp": "1762652579.5718348",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "DreadPoor/HOT_STINKING_GARBAGE",
-    "developer": "DreadPoor",
-    "inference_platform": "unknown",
-    "id": "DreadPoor/HOT_STINKING_GARBAGE",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5754265349273262
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4884000866161456
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.06722054380664652
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2751677852348993
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42500000000000004
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30169547872340424
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/DreadPoor/HOT_STINKING_GARBAGE/f0664035-3256-444c-b848-ef603e0d46b5.json b/data/hfopenllm_v2/DreadPoor/HOT_STINKING_GARBAGE/f0664035-3256-444c-b848-ef603e0d46b5.json
new file mode 100644
index 000000000..0bd391e53
--- /dev/null
+++ b/data/hfopenllm_v2/DreadPoor/HOT_STINKING_GARBAGE/f0664035-3256-444c-b848-ef603e0d46b5.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/DreadPoor_HOT_STINKING_GARBAGE/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "HOT_STINKING_GARBAGE",
+    "id": "DreadPoor/HOT_STINKING_GARBAGE",
+    "developer": "DreadPoor",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5754
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4884
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0672
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2752
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.425
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3017
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DreadPoor/H_the_eighth-8B-LINEAR/2bbec710-ce13-4fa3-861b-fce8eee26b3b.json b/data/hfopenllm_v2/DreadPoor/H_the_eighth-8B-LINEAR/2bbec710-ce13-4fa3-861b-fce8eee26b3b.json
deleted file mode 100644
index e2b3ea364..000000000
--- a/data/hfopenllm_v2/DreadPoor/H_the_eighth-8B-LINEAR/2bbec710-ce13-4fa3-861b-fce8eee26b3b.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/DreadPoor_H_the_eighth-8B-LINEAR/1762652579.572039",
-  "retrieved_timestamp": "1762652579.5720398",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "DreadPoor/H_the_eighth-8B-LINEAR",
-    "developer": "DreadPoor",
-    "inference_platform": "unknown",
-    "id": "DreadPoor/H_the_eighth-8B-LINEAR",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7469347996648892
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5383752114303682
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.17749244712990936
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.32802013422818793
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41728125
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3823969414893617
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/DreadPoor/H_the_eighth-8B-LINEAR/9159aaa6-8663-491f-901a-74da4c343d20.json b/data/hfopenllm_v2/DreadPoor/H_the_eighth-8B-LINEAR/9159aaa6-8663-491f-901a-74da4c343d20.json
new file mode 100644
index 000000000..506db7e4d
--- /dev/null
+++ b/data/hfopenllm_v2/DreadPoor/H_the_eighth-8B-LINEAR/9159aaa6-8663-491f-901a-74da4c343d20.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/DreadPoor_H_the_eighth-8B-LINEAR/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "H_the_eighth-8B-LINEAR",
+    "id": "DreadPoor/H_the_eighth-8B-LINEAR",
+    "developer": "DreadPoor",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7469
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5384
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1775
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.328
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4173
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3824
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DreadPoor/Happy_New_Year-8B-Model_Stock/170808e4-7506-44c9-8bb7-5dd92037a347.json b/data/hfopenllm_v2/DreadPoor/Happy_New_Year-8B-Model_Stock/170808e4-7506-44c9-8bb7-5dd92037a347.json
deleted file mode 100644
index 17432e904..000000000
--- a/data/hfopenllm_v2/DreadPoor/Happy_New_Year-8B-Model_Stock/170808e4-7506-44c9-8bb7-5dd92037a347.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/DreadPoor_Happy_New_Year-8B-Model_Stock/1762652579.572258",
-  "retrieved_timestamp": "1762652579.5722592",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "DreadPoor/Happy_New_Year-8B-Model_Stock",
-    "developer": "DreadPoor",
-    "inference_platform": "unknown",
-    "id": "DreadPoor/Happy_New_Year-8B-Model_Stock",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7615726272955757
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5367913866457493
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1593655589123867
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.313758389261745
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4185520833333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3878823138297872
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/DreadPoor/Happy_New_Year-8B-Model_Stock/5179b145-9fdb-4ab5-8cca-87966ecf6519.json b/data/hfopenllm_v2/DreadPoor/Happy_New_Year-8B-Model_Stock/5179b145-9fdb-4ab5-8cca-87966ecf6519.json
new file mode 100644
index 000000000..c37605ceb
--- /dev/null
+++ b/data/hfopenllm_v2/DreadPoor/Happy_New_Year-8B-Model_Stock/5179b145-9fdb-4ab5-8cca-87966ecf6519.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/DreadPoor_Happy_New_Year-8B-Model_Stock/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Happy_New_Year-8B-Model_Stock",
+    "id": "DreadPoor/Happy_New_Year-8B-Model_Stock",
+    "developer": "DreadPoor",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7616
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5368
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1594
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3138
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4186
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3879
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DreadPoor/Heart_Stolen-8B-Model_Stock/86b9c040-4c5e-413d-ac23-1603c499b5de.json b/data/hfopenllm_v2/DreadPoor/Heart_Stolen-8B-Model_Stock/86b9c040-4c5e-413d-ac23-1603c499b5de.json
deleted file mode 100644
index 3972d0ad2..000000000
--- a/data/hfopenllm_v2/DreadPoor/Heart_Stolen-8B-Model_Stock/86b9c040-4c5e-413d-ac23-1603c499b5de.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/DreadPoor_Heart_Stolen-8B-Model_Stock/1762652579.572714",
-  "retrieved_timestamp": "1762652579.5727181",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "DreadPoor/Heart_Stolen-8B-Model_Stock",
-    "developer": "DreadPoor",
-    "inference_platform": "unknown",
-    "id": "DreadPoor/Heart_Stolen-8B-Model_Stock",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7244533393617822
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5395443745186658
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.17220543806646527
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.31711409395973156
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41622916666666665
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37940492021276595
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/DreadPoor/Heart_Stolen-8B-Model_Stock/da872193-1d25-4e8e-bc22-9138a9d121ba.json b/data/hfopenllm_v2/DreadPoor/Heart_Stolen-8B-Model_Stock/da872193-1d25-4e8e-bc22-9138a9d121ba.json
new file mode 100644
index 000000000..5afe7e574
--- /dev/null
+++ b/data/hfopenllm_v2/DreadPoor/Heart_Stolen-8B-Model_Stock/da872193-1d25-4e8e-bc22-9138a9d121ba.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/DreadPoor_Heart_Stolen-8B-Model_Stock/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Heart_Stolen-8B-Model_Stock",
+    "id": "DreadPoor/Heart_Stolen-8B-Model_Stock",
+    "developer": "DreadPoor",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7245
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5395
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1722
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3171
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4162
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3794
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DreadPoor/Heart_Stolen-ALT-8B-Model_Stock/141d8908-50cb-4457-a0f0-93d55d1c705b.json b/data/hfopenllm_v2/DreadPoor/Heart_Stolen-ALT-8B-Model_Stock/141d8908-50cb-4457-a0f0-93d55d1c705b.json
deleted file mode 100644
index 9906942f3..000000000
--- a/data/hfopenllm_v2/DreadPoor/Heart_Stolen-ALT-8B-Model_Stock/141d8908-50cb-4457-a0f0-93d55d1c705b.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/DreadPoor_Heart_Stolen-ALT-8B-Model_Stock/1762652579.573096",
-  "retrieved_timestamp": "1762652579.573097",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "DreadPoor/Heart_Stolen-ALT-8B-Model_Stock",
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-        "score_type": "continuous",
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-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.40549999999999997
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37724401595744683
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/DreadPoor/Heart_Stolen-ALT-8B-Model_Stock/967fdd26-1f8a-40d6-8f7d-ca731c7ef2e3.json b/data/hfopenllm_v2/DreadPoor/Heart_Stolen-ALT-8B-Model_Stock/967fdd26-1f8a-40d6-8f7d-ca731c7ef2e3.json
new file mode 100644
index 000000000..1724bbb8b
--- /dev/null
+++ b/data/hfopenllm_v2/DreadPoor/Heart_Stolen-ALT-8B-Model_Stock/967fdd26-1f8a-40d6-8f7d-ca731c7ef2e3.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/DreadPoor_Heart_Stolen-ALT-8B-Model_Stock/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Heart_Stolen-ALT-8B-Model_Stock",
+    "id": "DreadPoor/Heart_Stolen-ALT-8B-Model_Stock",
+    "developer": "DreadPoor",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7184
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5263
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1563
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3012
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4055
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3772
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DreadPoor/Here_We_Go_Again-8B-SLERP/1c21cfd2-2b01-44d3-8daa-41493a743a75.json b/data/hfopenllm_v2/DreadPoor/Here_We_Go_Again-8B-SLERP/1c21cfd2-2b01-44d3-8daa-41493a743a75.json
deleted file mode 100644
index e85dacdd1..000000000
--- a/data/hfopenllm_v2/DreadPoor/Here_We_Go_Again-8B-SLERP/1c21cfd2-2b01-44d3-8daa-41493a743a75.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/DreadPoor_Here_We_Go_Again-8B-SLERP/1762652579.573366",
-  "retrieved_timestamp": "1762652579.573367",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "DreadPoor/Here_We_Go_Again-8B-SLERP",
-    "developer": "DreadPoor",
-    "inference_platform": "unknown",
-    "id": "DreadPoor/Here_We_Go_Again-8B-SLERP",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 4.015
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
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-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5460182474181831
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1729607250755287
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
-        "score": 0.3187919463087248
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4186770833333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3873005319148936
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/DreadPoor/Here_We_Go_Again-8B-SLERP/dd615b4c-189e-4361-bcf4-879fd59b28a2.json b/data/hfopenllm_v2/DreadPoor/Here_We_Go_Again-8B-SLERP/dd615b4c-189e-4361-bcf4-879fd59b28a2.json
new file mode 100644
index 000000000..040701af7
--- /dev/null
+++ b/data/hfopenllm_v2/DreadPoor/Here_We_Go_Again-8B-SLERP/dd615b4c-189e-4361-bcf4-879fd59b28a2.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/DreadPoor_Here_We_Go_Again-8B-SLERP/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Here_We_Go_Again-8B-SLERP",
+    "id": "DreadPoor/Here_We_Go_Again-8B-SLERP",
+    "developer": "DreadPoor",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 4.015
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7442
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.546
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.173
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3188
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4187
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3873
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DreadPoor/Howdy-8B-LINEAR/0aeee3e8-00ce-4f95-bbd9-307d93a194a4.json b/data/hfopenllm_v2/DreadPoor/Howdy-8B-LINEAR/0aeee3e8-00ce-4f95-bbd9-307d93a194a4.json
new file mode 100644
index 000000000..6da88e2f6
--- /dev/null
+++ b/data/hfopenllm_v2/DreadPoor/Howdy-8B-LINEAR/0aeee3e8-00ce-4f95-bbd9-307d93a194a4.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/DreadPoor_Howdy-8B-LINEAR/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Howdy-8B-LINEAR",
+    "id": "DreadPoor/Howdy-8B-LINEAR",
+    "developer": "DreadPoor",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7378
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5384
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1775
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3146
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4121
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3807
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DreadPoor/Howdy-8B-LINEAR/88df4a25-089c-4f21-b403-a1f5dad112b3.json b/data/hfopenllm_v2/DreadPoor/Howdy-8B-LINEAR/88df4a25-089c-4f21-b403-a1f5dad112b3.json
deleted file mode 100644
index 6aca3f6d2..000000000
--- a/data/hfopenllm_v2/DreadPoor/Howdy-8B-LINEAR/88df4a25-089c-4f21-b403-a1f5dad112b3.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/DreadPoor_Howdy-8B-LINEAR/1762652579.573699",
-  "retrieved_timestamp": "1762652579.5737002",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "DreadPoor/Howdy-8B-LINEAR",
-    "developer": "DreadPoor",
-    "inference_platform": "unknown",
-    "id": "DreadPoor/Howdy-8B-LINEAR",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
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diff --git a/data/hfopenllm_v2/DreadPoor/Incidental-8B-Model_Stock/102ed90e-cbe3-4219-b9c6-cec82c78941f.json b/data/hfopenllm_v2/DreadPoor/Incidental-8B-Model_Stock/102ed90e-cbe3-4219-b9c6-cec82c78941f.json
deleted file mode 100644
index 5882cb191..000000000
--- a/data/hfopenllm_v2/DreadPoor/Incidental-8B-Model_Stock/102ed90e-cbe3-4219-b9c6-cec82c78941f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/DreadPoor_Incidental-8B-Model_Stock/1762652579.573979",
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-  "source_data": [
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-  "source_metadata": {
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "DreadPoor/Incidental-8B-Model_Stock",
-    "developer": "DreadPoor",
-    "inference_platform": "unknown",
-    "id": "DreadPoor/Incidental-8B-Model_Stock",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
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-        "lower_is_better": false,
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-        "max_score": 1
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-      "score_details": {
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-    },
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-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-}
diff --git a/data/hfopenllm_v2/DreadPoor/Incidental-8B-Model_Stock/8c583b51-4349-48af-98d9-8eaaf43d60b6.json b/data/hfopenllm_v2/DreadPoor/Incidental-8B-Model_Stock/8c583b51-4349-48af-98d9-8eaaf43d60b6.json
new file mode 100644
index 000000000..f986ac603
--- /dev/null
+++ b/data/hfopenllm_v2/DreadPoor/Incidental-8B-Model_Stock/8c583b51-4349-48af-98d9-8eaaf43d60b6.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/DreadPoor_Incidental-8B-Model_Stock/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Incidental-8B-Model_Stock",
+    "id": "DreadPoor/Incidental-8B-Model_Stock",
+    "developer": "DreadPoor",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7482
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5452
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1616
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3029
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.424
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3873
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DreadPoor/Irina-8B-model_stock/34aab556-5e97-4ea2-9ada-d17dc3624be2.json b/data/hfopenllm_v2/DreadPoor/Irina-8B-model_stock/34aab556-5e97-4ea2-9ada-d17dc3624be2.json
new file mode 100644
index 000000000..b23dc6544
--- /dev/null
+++ b/data/hfopenllm_v2/DreadPoor/Irina-8B-model_stock/34aab556-5e97-4ea2-9ada-d17dc3624be2.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/DreadPoor_Irina-8B-model_stock/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Irina-8B-model_stock",
+    "id": "DreadPoor/Irina-8B-model_stock",
+    "developer": "DreadPoor",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6799
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5237
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.102
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2844
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4003
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3574
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DreadPoor/Irina-8B-model_stock/60aebc6f-b3ee-4b32-8b89-4359c990fb23.json b/data/hfopenllm_v2/DreadPoor/Irina-8B-model_stock/60aebc6f-b3ee-4b32-8b89-4359c990fb23.json
deleted file mode 100644
index 74db9f0a8..000000000
--- a/data/hfopenllm_v2/DreadPoor/Irina-8B-model_stock/60aebc6f-b3ee-4b32-8b89-4359c990fb23.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/DreadPoor_Irina-8B-model_stock/1762652579.574285",
-  "retrieved_timestamp": "1762652579.574286",
-  "source_data": [
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-  ],
-  "source_metadata": {
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "DreadPoor/Irina-8B-model_stock",
-    "developer": "DreadPoor",
-    "inference_platform": "unknown",
-    "id": "DreadPoor/Irina-8B-model_stock",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
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-        "max_score": 1
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-        "evaluation_description": "Exact Match on MATH Level 5",
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-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-    {
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-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.35738031914893614
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/DreadPoor/Kindling-8B-Model_Stock/8ee9ad54-c6ca-4afc-931b-ffe1fd1d5971.json b/data/hfopenllm_v2/DreadPoor/Kindling-8B-Model_Stock/8ee9ad54-c6ca-4afc-931b-ffe1fd1d5971.json
deleted file mode 100644
index 328193130..000000000
--- a/data/hfopenllm_v2/DreadPoor/Kindling-8B-Model_Stock/8ee9ad54-c6ca-4afc-931b-ffe1fd1d5971.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/DreadPoor_Kindling-8B-Model_Stock/1762652579.57468",
-  "retrieved_timestamp": "1762652579.574682",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "DreadPoor/Kindling-8B-Model_Stock",
-    "developer": "DreadPoor",
-    "inference_platform": "unknown",
-    "id": "DreadPoor/Kindling-8B-Model_Stock",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
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-  },
-  "evaluation_results": [
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-      "evaluation_name": "IFEval",
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-        "lower_is_better": false,
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-        "min_score": 0,
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-        "score_type": "continuous",
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-        "max_score": 1
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-        "score_type": "continuous",
-        "min_score": 0,
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3829787234042553
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/DreadPoor/Kindling-8B-Model_Stock/fbd9d5e3-15f7-45ce-92fb-368b3bfcc526.json b/data/hfopenllm_v2/DreadPoor/Kindling-8B-Model_Stock/fbd9d5e3-15f7-45ce-92fb-368b3bfcc526.json
new file mode 100644
index 000000000..26f843f70
--- /dev/null
+++ b/data/hfopenllm_v2/DreadPoor/Kindling-8B-Model_Stock/fbd9d5e3-15f7-45ce-92fb-368b3bfcc526.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/DreadPoor_Kindling-8B-Model_Stock/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Kindling-8B-Model_Stock",
+    "id": "DreadPoor/Kindling-8B-Model_Stock",
+    "developer": "DreadPoor",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7308
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5492
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1752
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.318
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4068
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.383
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DreadPoor/L3.1-BaeZel-8B-Della/6c7dfbaf-648e-4c4a-907f-8639ab1c7312.json b/data/hfopenllm_v2/DreadPoor/L3.1-BaeZel-8B-Della/6c7dfbaf-648e-4c4a-907f-8639ab1c7312.json
deleted file mode 100644
index 06826813d..000000000
--- a/data/hfopenllm_v2/DreadPoor/L3.1-BaeZel-8B-Della/6c7dfbaf-648e-4c4a-907f-8639ab1c7312.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/DreadPoor_L3.1-BaeZel-8B-Della/1762652579.575009",
-  "retrieved_timestamp": "1762652579.57501",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "DreadPoor/L3.1-BaeZel-8B-Della",
-    "developer": "DreadPoor",
-    "inference_platform": "unknown",
-    "id": "DreadPoor/L3.1-BaeZel-8B-Della",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5180243974875552
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5448449542185521
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.17447129909365558
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3196308724832215
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4199791666666666
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3902094414893617
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/DreadPoor/L3.1-BaeZel-8B-Della/b177e329-ce6b-4bc6-aeac-1c01306e6b1f.json b/data/hfopenllm_v2/DreadPoor/L3.1-BaeZel-8B-Della/b177e329-ce6b-4bc6-aeac-1c01306e6b1f.json
new file mode 100644
index 000000000..5d86d24a4
--- /dev/null
+++ b/data/hfopenllm_v2/DreadPoor/L3.1-BaeZel-8B-Della/b177e329-ce6b-4bc6-aeac-1c01306e6b1f.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/DreadPoor_L3.1-BaeZel-8B-Della/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "L3.1-BaeZel-8B-Della",
+    "id": "DreadPoor/L3.1-BaeZel-8B-Della",
+    "developer": "DreadPoor",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.518
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5448
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1745
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3196
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.42
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3902
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DreadPoor/Laughing_Stock-8B-Model_Stock/7f371c11-e8f0-4233-b359-aac39c0a1110.json b/data/hfopenllm_v2/DreadPoor/Laughing_Stock-8B-Model_Stock/7f371c11-e8f0-4233-b359-aac39c0a1110.json
new file mode 100644
index 000000000..aec03b176
--- /dev/null
+++ b/data/hfopenllm_v2/DreadPoor/Laughing_Stock-8B-Model_Stock/7f371c11-e8f0-4233-b359-aac39c0a1110.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/DreadPoor_Laughing_Stock-8B-Model_Stock/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Laughing_Stock-8B-Model_Stock",
+    "id": "DreadPoor/Laughing_Stock-8B-Model_Stock",
+    "developer": "DreadPoor",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.719
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5449
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1579
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2894
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4146
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3764
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DreadPoor/Laughing_Stock-8B-Model_Stock/cf1b2ab2-d18b-44c1-b0ed-476dba32c034.json b/data/hfopenllm_v2/DreadPoor/Laughing_Stock-8B-Model_Stock/cf1b2ab2-d18b-44c1-b0ed-476dba32c034.json
deleted file mode 100644
index 2173ca660..000000000
--- a/data/hfopenllm_v2/DreadPoor/Laughing_Stock-8B-Model_Stock/cf1b2ab2-d18b-44c1-b0ed-476dba32c034.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/DreadPoor_Laughing_Stock-8B-Model_Stock/1762652579.5752351",
-  "retrieved_timestamp": "1762652579.575236",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "DreadPoor/Laughing_Stock-8B-Model_Stock",
-    "developer": "DreadPoor",
-    "inference_platform": "unknown",
-    "id": "DreadPoor/Laughing_Stock-8B-Model_Stock",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7189579205397235
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5449429262155
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1578549848942598
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.28942953020134227
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4145520833333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3764128989361702
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/DreadPoor/Lava_Lamp-8B-SLERP/26d89e91-7f52-4913-a4e0-3275cca1d8d7.json b/data/hfopenllm_v2/DreadPoor/Lava_Lamp-8B-SLERP/26d89e91-7f52-4913-a4e0-3275cca1d8d7.json
deleted file mode 100644
index c31aef3a9..000000000
--- a/data/hfopenllm_v2/DreadPoor/Lava_Lamp-8B-SLERP/26d89e91-7f52-4913-a4e0-3275cca1d8d7.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/DreadPoor_Lava_Lamp-8B-SLERP/1762652579.575455",
-  "retrieved_timestamp": "1762652579.575455",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "DreadPoor/Lava_Lamp-8B-SLERP",
-    "developer": "DreadPoor",
-    "inference_platform": "unknown",
-    "id": "DreadPoor/Lava_Lamp-8B-SLERP",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7381170848903134
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5367586873360172
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.17371601208459214
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3053691275167785
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4187083333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.375
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/DreadPoor/Lava_Lamp-8B-SLERP/9f758d4e-d121-4688-8ece-8dc67a499811.json b/data/hfopenllm_v2/DreadPoor/Lava_Lamp-8B-SLERP/9f758d4e-d121-4688-8ece-8dc67a499811.json
new file mode 100644
index 000000000..e0d95bfba
--- /dev/null
+++ b/data/hfopenllm_v2/DreadPoor/Lava_Lamp-8B-SLERP/9f758d4e-d121-4688-8ece-8dc67a499811.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/DreadPoor_Lava_Lamp-8B-SLERP/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Lava_Lamp-8B-SLERP",
+    "id": "DreadPoor/Lava_Lamp-8B-SLERP",
+    "developer": "DreadPoor",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7381
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5368
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1737
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3054
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4187
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.375
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DreadPoor/LemonP-8B-Model_Stock/903b8c71-d54d-4ce4-9845-71eb8ca8733a.json b/data/hfopenllm_v2/DreadPoor/LemonP-8B-Model_Stock/903b8c71-d54d-4ce4-9845-71eb8ca8733a.json
new file mode 100644
index 000000000..bd0f0baf1
--- /dev/null
+++ b/data/hfopenllm_v2/DreadPoor/LemonP-8B-Model_Stock/903b8c71-d54d-4ce4-9845-71eb8ca8733a.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/DreadPoor_LemonP-8B-Model_Stock/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "LemonP-8B-Model_Stock",
+    "id": "DreadPoor/LemonP-8B-Model_Stock",
+    "developer": "DreadPoor",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7676
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5439
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1767
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3029
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4081
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4004
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DreadPoor/LemonP-8B-Model_Stock/f13fb9a9-f53c-4c7e-9e29-fabb010a617b.json b/data/hfopenllm_v2/DreadPoor/LemonP-8B-Model_Stock/f13fb9a9-f53c-4c7e-9e29-fabb010a617b.json
deleted file mode 100644
index c959f7964..000000000
--- a/data/hfopenllm_v2/DreadPoor/LemonP-8B-Model_Stock/f13fb9a9-f53c-4c7e-9e29-fabb010a617b.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/DreadPoor_LemonP-8B-Model_Stock/1762652579.575685",
-  "retrieved_timestamp": "1762652579.575686",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "DreadPoor/LemonP-8B-Model_Stock",
-    "developer": "DreadPoor",
-    "inference_platform": "unknown",
-    "id": "DreadPoor/LemonP-8B-Model_Stock",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7676176988169169
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5439348074265458
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.17673716012084592
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3028523489932886
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.40810416666666666
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.40043218085106386
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/DreadPoor/Lydia_of_Whiterun-8B-LINEAR/9bdc17bf-7b81-49c8-81f5-c6dfa31b449b.json b/data/hfopenllm_v2/DreadPoor/Lydia_of_Whiterun-8B-LINEAR/9bdc17bf-7b81-49c8-81f5-c6dfa31b449b.json
new file mode 100644
index 000000000..d1ecbf772
--- /dev/null
+++ b/data/hfopenllm_v2/DreadPoor/Lydia_of_Whiterun-8B-LINEAR/9bdc17bf-7b81-49c8-81f5-c6dfa31b449b.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/DreadPoor_Lydia_of_Whiterun-8B-LINEAR/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Lydia_of_Whiterun-8B-LINEAR",
+    "id": "DreadPoor/Lydia_of_Whiterun-8B-LINEAR",
+    "developer": "DreadPoor",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7603
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.538
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1767
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3163
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4251
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3801
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DreadPoor/Lydia_of_Whiterun-8B-LINEAR/cee29aba-b6c1-42a2-88d0-a92080b3c083.json b/data/hfopenllm_v2/DreadPoor/Lydia_of_Whiterun-8B-LINEAR/cee29aba-b6c1-42a2-88d0-a92080b3c083.json
deleted file mode 100644
index 5813f9c5d..000000000
--- a/data/hfopenllm_v2/DreadPoor/Lydia_of_Whiterun-8B-LINEAR/cee29aba-b6c1-42a2-88d0-a92080b3c083.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/DreadPoor_Lydia_of_Whiterun-8B-LINEAR/1762652579.575901",
-  "retrieved_timestamp": "1762652579.575901",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "DreadPoor/Lydia_of_Whiterun-8B-LINEAR",
-    "developer": "DreadPoor",
-    "inference_platform": "unknown",
-    "id": "DreadPoor/Lydia_of_Whiterun-8B-LINEAR",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.760323718843779
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5379527944750039
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.17673716012084592
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3162751677852349
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42506249999999995
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3800698138297872
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/DreadPoor/Matryoshka-8B-LINEAR/28109e00-87c1-4809-a4fc-dddebba52621.json b/data/hfopenllm_v2/DreadPoor/Matryoshka-8B-LINEAR/28109e00-87c1-4809-a4fc-dddebba52621.json
new file mode 100644
index 000000000..81c216cdf
--- /dev/null
+++ b/data/hfopenllm_v2/DreadPoor/Matryoshka-8B-LINEAR/28109e00-87c1-4809-a4fc-dddebba52621.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/DreadPoor_Matryoshka-8B-LINEAR/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Matryoshka-8B-LINEAR",
+    "id": "DreadPoor/Matryoshka-8B-LINEAR",
+    "developer": "DreadPoor",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7263
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5444
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1752
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3205
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4252
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3866
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DreadPoor/Matryoshka-8B-LINEAR/2f8ce822-9278-49e5-878a-69439e794623.json b/data/hfopenllm_v2/DreadPoor/Matryoshka-8B-LINEAR/2f8ce822-9278-49e5-878a-69439e794623.json
deleted file mode 100644
index 6ee95c40a..000000000
--- a/data/hfopenllm_v2/DreadPoor/Matryoshka-8B-LINEAR/2f8ce822-9278-49e5-878a-69439e794623.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/DreadPoor_Matryoshka-8B-LINEAR/1762652579.576119",
-  "retrieved_timestamp": "1762652579.5761201",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "DreadPoor/Matryoshka-8B-LINEAR",
-    "developer": "DreadPoor",
-    "inference_platform": "unknown",
-    "id": "DreadPoor/Matryoshka-8B-LINEAR",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7262519005128614
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.17522658610271905
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.32046979865771813
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42524999999999996
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3865525265957447
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/DreadPoor/Mercury_In_Retrograde-8b-Model-Stock/6a21381b-426d-4a5d-ad6d-2aeb57ed14c5.json b/data/hfopenllm_v2/DreadPoor/Mercury_In_Retrograde-8b-Model-Stock/6a21381b-426d-4a5d-ad6d-2aeb57ed14c5.json
new file mode 100644
index 000000000..84fcc3ee6
--- /dev/null
+++ b/data/hfopenllm_v2/DreadPoor/Mercury_In_Retrograde-8b-Model-Stock/6a21381b-426d-4a5d-ad6d-2aeb57ed14c5.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/DreadPoor_Mercury_In_Retrograde-8b-Model-Stock/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Mercury_In_Retrograde-8b-Model-Stock",
+    "id": "DreadPoor/Mercury_In_Retrograde-8b-Model-Stock",
+    "developer": "DreadPoor",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7296
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5391
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1647
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3163
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4199
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3829
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DreadPoor/Mercury_In_Retrograde-8b-Model-Stock/eff11f37-ec26-4866-8109-0ee6dcac7fec.json b/data/hfopenllm_v2/DreadPoor/Mercury_In_Retrograde-8b-Model-Stock/eff11f37-ec26-4866-8109-0ee6dcac7fec.json
deleted file mode 100644
index 9bfb792d3..000000000
--- a/data/hfopenllm_v2/DreadPoor/Mercury_In_Retrograde-8b-Model-Stock/eff11f37-ec26-4866-8109-0ee6dcac7fec.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/DreadPoor_Mercury_In_Retrograde-8b-Model-Stock/1762652579.576331",
-  "retrieved_timestamp": "1762652579.576332",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "DreadPoor/Mercury_In_Retrograde-8b-Model-Stock",
-    "developer": "DreadPoor",
-    "inference_platform": "unknown",
-    "id": "DreadPoor/Mercury_In_Retrograde-8b-Model-Stock",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7296240641497892
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5390507664719518
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1646525679758308
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3162751677852349
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4198854166666666
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.38289561170212766
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/DreadPoor/Minthy-8B-Model_Stock/03a8091c-473e-4fbe-af70-35f791a23a0f.json b/data/hfopenllm_v2/DreadPoor/Minthy-8B-Model_Stock/03a8091c-473e-4fbe-af70-35f791a23a0f.json
new file mode 100644
index 000000000..8bace15e3
--- /dev/null
+++ b/data/hfopenllm_v2/DreadPoor/Minthy-8B-Model_Stock/03a8091c-473e-4fbe-af70-35f791a23a0f.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/DreadPoor_Minthy-8B-Model_Stock/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Minthy-8B-Model_Stock",
+    "id": "DreadPoor/Minthy-8B-Model_Stock",
+    "developer": "DreadPoor",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7658
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
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+      "metric_config": {
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+        "lower_is_better": false,
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
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+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
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+        "min_score": 0.0,
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+      },
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
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+        "evaluation_description": "Accuracy on MUSR",
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+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
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+        "evaluation_description": "Accuracy on MMLU-PRO",
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+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DreadPoor/Minthy-8B-Model_Stock/394ac507-8bdb-4d06-bf6e-87911443ec2b.json b/data/hfopenllm_v2/DreadPoor/Minthy-8B-Model_Stock/394ac507-8bdb-4d06-bf6e-87911443ec2b.json
deleted file mode 100644
index c8e6800f0..000000000
--- a/data/hfopenllm_v2/DreadPoor/Minthy-8B-Model_Stock/394ac507-8bdb-4d06-bf6e-87911443ec2b.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-    "developer": "DreadPoor",
-    "inference_platform": "unknown",
-    "id": "DreadPoor/Minthy-8B-Model_Stock",
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diff --git a/data/hfopenllm_v2/DreadPoor/Minthy_ALT-8B-Model_Stock/709e429f-0a98-4ae6-b10f-f0546ef2d9b5.json b/data/hfopenllm_v2/DreadPoor/Minthy_ALT-8B-Model_Stock/709e429f-0a98-4ae6-b10f-f0546ef2d9b5.json
deleted file mode 100644
index 1f3b348da..000000000
--- a/data/hfopenllm_v2/DreadPoor/Minthy_ALT-8B-Model_Stock/709e429f-0a98-4ae6-b10f-f0546ef2d9b5.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-    "source_type": "documentation"
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-    "developer": "DreadPoor",
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-    "id": "DreadPoor/Minthy_ALT-8B-Model_Stock",
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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diff --git a/data/hfopenllm_v2/DreadPoor/Minthy_ALT-8B-Model_Stock/ed75e9ed-841b-4783-a201-bc72651afd0a.json b/data/hfopenllm_v2/DreadPoor/Minthy_ALT-8B-Model_Stock/ed75e9ed-841b-4783-a201-bc72651afd0a.json
new file mode 100644
index 000000000..bb6a90a55
--- /dev/null
+++ b/data/hfopenllm_v2/DreadPoor/Minthy_ALT-8B-Model_Stock/ed75e9ed-841b-4783-a201-bc72651afd0a.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/DreadPoor_Minthy_ALT-8B-Model_Stock/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Minthy_ALT-8B-Model_Stock",
+    "id": "DreadPoor/Minthy_ALT-8B-Model_Stock",
+    "developer": "DreadPoor",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6992
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+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5375
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+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "max_score": 1.0
+      },
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
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+      },
+      "score_details": {
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+    },
+    {
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+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3674
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DreadPoor/Minthy_V2-8B-Model_Stock/38cd418c-9770-49d2-8b30-ac47e445cee3.json b/data/hfopenllm_v2/DreadPoor/Minthy_V2-8B-Model_Stock/38cd418c-9770-49d2-8b30-ac47e445cee3.json
new file mode 100644
index 000000000..f602119ec
--- /dev/null
+++ b/data/hfopenllm_v2/DreadPoor/Minthy_V2-8B-Model_Stock/38cd418c-9770-49d2-8b30-ac47e445cee3.json
@@ -0,0 +1,132 @@
+{
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+  "evaluation_id": "hfopenllm_v2/DreadPoor_Minthy_V2-8B-Model_Stock/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Minthy_V2-8B-Model_Stock",
+    "id": "DreadPoor/Minthy_V2-8B-Model_Stock",
+    "developer": "DreadPoor",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+    },
+    {
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+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5491
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+      },
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+    },
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+        "hf_repo": "Idavidrein/gpqa"
+      },
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+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
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+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4199
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3737
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DreadPoor/Minthy_V2-8B-Model_Stock/3f8011c6-6826-4788-b848-ec6938eefa7f.json b/data/hfopenllm_v2/DreadPoor/Minthy_V2-8B-Model_Stock/3f8011c6-6826-4788-b848-ec6938eefa7f.json
deleted file mode 100644
index 270ea9a78..000000000
--- a/data/hfopenllm_v2/DreadPoor/Minthy_V2-8B-Model_Stock/3f8011c6-6826-4788-b848-ec6938eefa7f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/DreadPoor_Minthy_V2-8B-Model_Stock/1762652579.5770218",
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-  "source_data": [
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "DreadPoor/Minthy_V2-8B-Model_Stock",
-    "developer": "DreadPoor",
-    "inference_platform": "unknown",
-    "id": "DreadPoor/Minthy_V2-8B-Model_Stock",
-    "additional_details": {
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-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
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diff --git a/data/hfopenllm_v2/DreadPoor/Minus_Penus-8B-Model_Stock/395b9855-e394-46c9-b95a-75203399aed4.json b/data/hfopenllm_v2/DreadPoor/Minus_Penus-8B-Model_Stock/395b9855-e394-46c9-b95a-75203399aed4.json
deleted file mode 100644
index d012c6bfc..000000000
--- a/data/hfopenllm_v2/DreadPoor/Minus_Penus-8B-Model_Stock/395b9855-e394-46c9-b95a-75203399aed4.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/DreadPoor_Minus_Penus-8B-Model_Stock/1762652579.577236",
-  "retrieved_timestamp": "1762652579.577237",
-  "source_data": [
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "DreadPoor/Minus_Penus-8B-Model_Stock",
-    "developer": "DreadPoor",
-    "inference_platform": "unknown",
-    "id": "DreadPoor/Minus_Penus-8B-Model_Stock",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
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-        "lower_is_better": false,
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-        "lower_is_better": false,
-        "score_type": "continuous",
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
-        "score": 0.40190624999999996
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3751662234042553
-      }
-    }
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-}
diff --git a/data/hfopenllm_v2/DreadPoor/Minus_Penus-8B-Model_Stock/d49b6a48-ae81-467d-87c5-b17f9ca306f8.json b/data/hfopenllm_v2/DreadPoor/Minus_Penus-8B-Model_Stock/d49b6a48-ae81-467d-87c5-b17f9ca306f8.json
new file mode 100644
index 000000000..214eb3bc5
--- /dev/null
+++ b/data/hfopenllm_v2/DreadPoor/Minus_Penus-8B-Model_Stock/d49b6a48-ae81-467d-87c5-b17f9ca306f8.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/DreadPoor_Minus_Penus-8B-Model_Stock/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Minus_Penus-8B-Model_Stock",
+    "id": "DreadPoor/Minus_Penus-8B-Model_Stock",
+    "developer": "DreadPoor",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7311
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5344
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2002
+      }
+    },
+    {
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+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3096
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4019
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3752
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DreadPoor/Morphing-8B-Model_Stock/39b7e250-9f71-4833-941e-85692a48b6e6.json b/data/hfopenllm_v2/DreadPoor/Morphing-8B-Model_Stock/39b7e250-9f71-4833-941e-85692a48b6e6.json
new file mode 100644
index 000000000..0295f0f91
--- /dev/null
+++ b/data/hfopenllm_v2/DreadPoor/Morphing-8B-Model_Stock/39b7e250-9f71-4833-941e-85692a48b6e6.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/DreadPoor_Morphing-8B-Model_Stock/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Morphing-8B-Model_Stock",
+    "id": "DreadPoor/Morphing-8B-Model_Stock",
+    "developer": "DreadPoor",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7445
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5397
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1888
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2936
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4069
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3852
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DreadPoor/Not_Even_My_Final_Form-8B-Model_Stock/bc85d435-a537-4ed0-bf4e-02d9c30b5fa3.json b/data/hfopenllm_v2/DreadPoor/Not_Even_My_Final_Form-8B-Model_Stock/bc85d435-a537-4ed0-bf4e-02d9c30b5fa3.json
deleted file mode 100644
index 11ced8def..000000000
--- a/data/hfopenllm_v2/DreadPoor/Not_Even_My_Final_Form-8B-Model_Stock/bc85d435-a537-4ed0-bf4e-02d9c30b5fa3.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/DreadPoor_Not_Even_My_Final_Form-8B-Model_Stock/1762652579.577775",
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-  "source_data": [
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-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "DreadPoor/Not_Even_My_Final_Form-8B-Model_Stock",
-    "developer": "DreadPoor",
-    "inference_platform": "unknown",
-    "id": "DreadPoor/Not_Even_My_Final_Form-8B-Model_Stock",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
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-      "evaluation_name": "IFEval",
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-        "min_score": 0,
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41473958333333333
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3839760638297872
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/DreadPoor/Not_Even_My_Final_Form-8B-Model_Stock/c0d102a2-ff8c-45ac-a825-31472b98b871.json b/data/hfopenllm_v2/DreadPoor/Not_Even_My_Final_Form-8B-Model_Stock/c0d102a2-ff8c-45ac-a825-31472b98b871.json
new file mode 100644
index 000000000..c07ee195d
--- /dev/null
+++ b/data/hfopenllm_v2/DreadPoor/Not_Even_My_Final_Form-8B-Model_Stock/c0d102a2-ff8c-45ac-a825-31472b98b871.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/DreadPoor_Not_Even_My_Final_Form-8B-Model_Stock/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Not_Even_My_Final_Form-8B-Model_Stock",
+    "id": "DreadPoor/Not_Even_My_Final_Form-8B-Model_Stock",
+    "developer": "DreadPoor",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7722
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+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5351
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.176
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2953
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4147
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+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.384
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DreadPoor/Nother_One-8B-Model_Stock/464f363d-ab94-4cac-8846-fbcf25be3dec.json b/data/hfopenllm_v2/DreadPoor/Nother_One-8B-Model_Stock/464f363d-ab94-4cac-8846-fbcf25be3dec.json
deleted file mode 100644
index 49d9dc846..000000000
--- a/data/hfopenllm_v2/DreadPoor/Nother_One-8B-Model_Stock/464f363d-ab94-4cac-8846-fbcf25be3dec.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/DreadPoor_Nother_One-8B-Model_Stock/1762652579.578036",
-  "retrieved_timestamp": "1762652579.578037",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "DreadPoor/Nother_One-8B-Model_Stock",
-    "developer": "DreadPoor",
-    "inference_platform": "unknown",
-    "id": "DreadPoor/Nother_One-8B-Model_Stock",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6863101016414226
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5204527600425481
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.15181268882175228
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.28942953020134227
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.38702083333333337
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.35945811170212766
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/DreadPoor/Nother_One-8B-Model_Stock/7c5674a8-6a1c-483e-be9c-b0a6d00d3ac4.json b/data/hfopenllm_v2/DreadPoor/Nother_One-8B-Model_Stock/7c5674a8-6a1c-483e-be9c-b0a6d00d3ac4.json
new file mode 100644
index 000000000..3a365d7fc
--- /dev/null
+++ b/data/hfopenllm_v2/DreadPoor/Nother_One-8B-Model_Stock/7c5674a8-6a1c-483e-be9c-b0a6d00d3ac4.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/DreadPoor_Nother_One-8B-Model_Stock/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Nother_One-8B-Model_Stock",
+    "id": "DreadPoor/Nother_One-8B-Model_Stock",
+    "developer": "DreadPoor",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6863
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5205
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1518
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2894
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.387
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3595
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DreadPoor/Noxis-8B-LINEAR/8778fbef-d0f0-4a47-8adb-8e8f594d9195.json b/data/hfopenllm_v2/DreadPoor/Noxis-8B-LINEAR/8778fbef-d0f0-4a47-8adb-8e8f594d9195.json
deleted file mode 100644
index 2965274f6..000000000
--- a/data/hfopenllm_v2/DreadPoor/Noxis-8B-LINEAR/8778fbef-d0f0-4a47-8adb-8e8f594d9195.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/DreadPoor_Noxis-8B-LINEAR/1762652579.578263",
-  "retrieved_timestamp": "1762652579.578263",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "DreadPoor/Noxis-8B-LINEAR",
-    "developer": "DreadPoor",
-    "inference_platform": "unknown",
-    "id": "DreadPoor/Noxis-8B-LINEAR",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6913057354486096
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5420956502068554
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.19788519637462235
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3187919463087248
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4230833333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3660239361702128
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/DreadPoor/Noxis-8B-LINEAR/d34b899e-b067-4c9c-9fa2-439f8b2d589d.json b/data/hfopenllm_v2/DreadPoor/Noxis-8B-LINEAR/d34b899e-b067-4c9c-9fa2-439f8b2d589d.json
new file mode 100644
index 000000000..73cd484d6
--- /dev/null
+++ b/data/hfopenllm_v2/DreadPoor/Noxis-8B-LINEAR/d34b899e-b067-4c9c-9fa2-439f8b2d589d.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/DreadPoor_Noxis-8B-LINEAR/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Noxis-8B-LINEAR",
+    "id": "DreadPoor/Noxis-8B-LINEAR",
+    "developer": "DreadPoor",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6913
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5421
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1979
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3188
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4231
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.366
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DreadPoor/Nullsworn-12B-LINEAR/3f92cd91-57b4-46eb-864b-2e4870b920fc.json b/data/hfopenllm_v2/DreadPoor/Nullsworn-12B-LINEAR/3f92cd91-57b4-46eb-864b-2e4870b920fc.json
deleted file mode 100644
index 973544f29..000000000
--- a/data/hfopenllm_v2/DreadPoor/Nullsworn-12B-LINEAR/3f92cd91-57b4-46eb-864b-2e4870b920fc.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/DreadPoor_Nullsworn-12B-LINEAR/1762652579.578492",
-  "retrieved_timestamp": "1762652579.5784929",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "DreadPoor/Nullsworn-12B-LINEAR",
-    "developer": "DreadPoor",
-    "inference_platform": "unknown",
-    "id": "DreadPoor/Nullsworn-12B-LINEAR",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 12.248
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.44356086295473784
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5483045026677609
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11253776435045318
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30788590604026844
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.43495833333333334
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3645279255319149
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/DreadPoor/Nullsworn-12B-LINEAR/8c7b2332-510b-42d3-bcbb-e177c35d27d5.json b/data/hfopenllm_v2/DreadPoor/Nullsworn-12B-LINEAR/8c7b2332-510b-42d3-bcbb-e177c35d27d5.json
new file mode 100644
index 000000000..4c95be2fd
--- /dev/null
+++ b/data/hfopenllm_v2/DreadPoor/Nullsworn-12B-LINEAR/8c7b2332-510b-42d3-bcbb-e177c35d27d5.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/DreadPoor_Nullsworn-12B-LINEAR/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Nullsworn-12B-LINEAR",
+    "id": "DreadPoor/Nullsworn-12B-LINEAR",
+    "developer": "DreadPoor",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 12.248
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4436
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5483
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1125
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3079
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.435
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3645
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DreadPoor/Nwah-8B-Model_Stock/34dec14e-846a-4037-8dbd-f1d1599d5adf.json b/data/hfopenllm_v2/DreadPoor/Nwah-8B-Model_Stock/34dec14e-846a-4037-8dbd-f1d1599d5adf.json
deleted file mode 100644
index 35d1271e2..000000000
--- a/data/hfopenllm_v2/DreadPoor/Nwah-8B-Model_Stock/34dec14e-846a-4037-8dbd-f1d1599d5adf.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/DreadPoor_Nwah-8B-Model_Stock/1762652579.578718",
-  "retrieved_timestamp": "1762652579.578719",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "DreadPoor/Nwah-8B-Model_Stock",
-    "developer": "DreadPoor",
-    "inference_platform": "unknown",
-    "id": "DreadPoor/Nwah-8B-Model_Stock",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7715893828375378
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5384269019541996
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1797583081570997
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3104026845637584
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4039479166666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3807347074468085
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/DreadPoor/Nwah-8B-Model_Stock/685f107f-e431-4dba-a117-8d6f1dd2c296.json b/data/hfopenllm_v2/DreadPoor/Nwah-8B-Model_Stock/685f107f-e431-4dba-a117-8d6f1dd2c296.json
new file mode 100644
index 000000000..ed00a7392
--- /dev/null
+++ b/data/hfopenllm_v2/DreadPoor/Nwah-8B-Model_Stock/685f107f-e431-4dba-a117-8d6f1dd2c296.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/DreadPoor_Nwah-8B-Model_Stock/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Nwah-8B-Model_Stock",
+    "id": "DreadPoor/Nwah-8B-Model_Stock",
+    "developer": "DreadPoor",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7716
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5384
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1798
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3104
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4039
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3807
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DreadPoor/ONeil-model_stock-8B/7f5fa4e0-e28c-46df-acbd-22e7b010a407.json b/data/hfopenllm_v2/DreadPoor/ONeil-model_stock-8B/7f5fa4e0-e28c-46df-acbd-22e7b010a407.json
deleted file mode 100644
index d8cbfdf7f..000000000
--- a/data/hfopenllm_v2/DreadPoor/ONeil-model_stock-8B/7f5fa4e0-e28c-46df-acbd-22e7b010a407.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/DreadPoor_ONeil-model_stock-8B/1762652579.578939",
-  "retrieved_timestamp": "1762652579.57894",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "DreadPoor/ONeil-model_stock-8B",
-    "developer": "DreadPoor",
-    "inference_platform": "unknown",
-    "id": "DreadPoor/ONeil-model_stock-8B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6785662043378236
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5548337982400763
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.10120845921450151
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3053691275167785
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41734374999999996
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.35987367021276595
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/DreadPoor/ONeil-model_stock-8B/e1570804-85b6-4518-a099-5f21ab27d12c.json b/data/hfopenllm_v2/DreadPoor/ONeil-model_stock-8B/e1570804-85b6-4518-a099-5f21ab27d12c.json
new file mode 100644
index 000000000..43888a5d9
--- /dev/null
+++ b/data/hfopenllm_v2/DreadPoor/ONeil-model_stock-8B/e1570804-85b6-4518-a099-5f21ab27d12c.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/DreadPoor_ONeil-model_stock-8B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "ONeil-model_stock-8B",
+    "id": "DreadPoor/ONeil-model_stock-8B",
+    "developer": "DreadPoor",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6786
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5548
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1012
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3054
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4173
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3599
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DreadPoor/Oh_Boy-8B-LINEAR/393ad85d-6b8b-466d-99e0-6a89bf0ce66e.json b/data/hfopenllm_v2/DreadPoor/Oh_Boy-8B-LINEAR/393ad85d-6b8b-466d-99e0-6a89bf0ce66e.json
deleted file mode 100644
index aa40b10ec..000000000
--- a/data/hfopenllm_v2/DreadPoor/Oh_Boy-8B-LINEAR/393ad85d-6b8b-466d-99e0-6a89bf0ce66e.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/DreadPoor_Oh_Boy-8B-LINEAR/1762652579.5791628",
-  "retrieved_timestamp": "1762652579.5791638",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "DreadPoor/Oh_Boy-8B-LINEAR",
-    "developer": "DreadPoor",
-    "inference_platform": "unknown",
-    "id": "DreadPoor/Oh_Boy-8B-LINEAR",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-        "lower_is_better": false,
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-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
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-        "max_score": 1
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-      "evaluation_name": "MMLU-PRO",
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-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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diff --git a/data/hfopenllm_v2/DreadPoor/Oh_Boy-8B-LINEAR/a779ebec-76ab-4a1e-aa4f-d1a6adfe2d5c.json b/data/hfopenllm_v2/DreadPoor/Oh_Boy-8B-LINEAR/a779ebec-76ab-4a1e-aa4f-d1a6adfe2d5c.json
new file mode 100644
index 000000000..a4b064bc6
--- /dev/null
+++ b/data/hfopenllm_v2/DreadPoor/Oh_Boy-8B-LINEAR/a779ebec-76ab-4a1e-aa4f-d1a6adfe2d5c.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/DreadPoor_Oh_Boy-8B-LINEAR/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Oh_Boy-8B-LINEAR",
+    "id": "DreadPoor/Oh_Boy-8B-LINEAR",
+    "developer": "DreadPoor",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7503
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5375
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1782
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3079
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4108
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3849
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DreadPoor/OrangeJ-8B-Model_Stock/1ed7f6ed-d04d-4cfc-a36a-1ef0f72d4814.json b/data/hfopenllm_v2/DreadPoor/OrangeJ-8B-Model_Stock/1ed7f6ed-d04d-4cfc-a36a-1ef0f72d4814.json
new file mode 100644
index 000000000..009d6a3f3
--- /dev/null
+++ b/data/hfopenllm_v2/DreadPoor/OrangeJ-8B-Model_Stock/1ed7f6ed-d04d-4cfc-a36a-1ef0f72d4814.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/DreadPoor_OrangeJ-8B-Model_Stock/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "OrangeJ-8B-Model_Stock",
+    "id": "DreadPoor/OrangeJ-8B-Model_Stock",
+    "developer": "DreadPoor",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7841
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5413
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.176
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3012
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4028
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3969
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DreadPoor/OrangeJ-8B-Model_Stock/d436f2a4-ebd5-4712-871a-0616f491bda4.json b/data/hfopenllm_v2/DreadPoor/OrangeJ-8B-Model_Stock/d436f2a4-ebd5-4712-871a-0616f491bda4.json
deleted file mode 100644
index ed4c33826..000000000
--- a/data/hfopenllm_v2/DreadPoor/OrangeJ-8B-Model_Stock/d436f2a4-ebd5-4712-871a-0616f491bda4.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/DreadPoor_OrangeJ-8B-Model_Stock/1762652579.57939",
-  "retrieved_timestamp": "1762652579.579391",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "DreadPoor/OrangeJ-8B-Model_Stock",
-    "developer": "DreadPoor",
-    "inference_platform": "unknown",
-    "id": "DreadPoor/OrangeJ-8B-Model_Stock",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7841039552830933
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5413478053905038
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.17598187311178248
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3011744966442953
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-    },
-    {
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-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4027708333333333
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3968583776595745
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/DreadPoor/Promissum_Mane-8B-LINEAR-lorablated/827c075e-78a2-4e4b-a561-b95728cdf2b2.json b/data/hfopenllm_v2/DreadPoor/Promissum_Mane-8B-LINEAR-lorablated/827c075e-78a2-4e4b-a561-b95728cdf2b2.json
deleted file mode 100644
index 7f6a4b75d..000000000
--- a/data/hfopenllm_v2/DreadPoor/Promissum_Mane-8B-LINEAR-lorablated/827c075e-78a2-4e4b-a561-b95728cdf2b2.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/DreadPoor_Promissum_Mane-8B-LINEAR-lorablated/1762652579.579823",
-  "retrieved_timestamp": "1762652579.5798242",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "DreadPoor/Promissum_Mane-8B-LINEAR-lorablated",
-    "developer": "DreadPoor",
-    "inference_platform": "unknown",
-    "id": "DreadPoor/Promissum_Mane-8B-LINEAR-lorablated",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
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-        "min_score": 0,
-        "max_score": 1
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-    },
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-        "score_type": "continuous",
-        "min_score": 0,
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-      },
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.15332326283987915
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3036912751677852
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4197916666666666
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37391954787234044
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/DreadPoor/Promissum_Mane-8B-LINEAR-lorablated/c901a9ee-069a-4e3e-ac52-3017d67d8800.json b/data/hfopenllm_v2/DreadPoor/Promissum_Mane-8B-LINEAR-lorablated/c901a9ee-069a-4e3e-ac52-3017d67d8800.json
new file mode 100644
index 000000000..fbaecf746
--- /dev/null
+++ b/data/hfopenllm_v2/DreadPoor/Promissum_Mane-8B-LINEAR-lorablated/c901a9ee-069a-4e3e-ac52-3017d67d8800.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/DreadPoor_Promissum_Mane-8B-LINEAR-lorablated/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Promissum_Mane-8B-LINEAR-lorablated",
+    "id": "DreadPoor/Promissum_Mane-8B-LINEAR-lorablated",
+    "developer": "DreadPoor",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7156
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5435
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1533
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3037
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4198
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3739
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DreadPoor/Promissum_Mane-8B-LINEAR/08317b59-ff74-43c8-bea5-2a266c38816e.json b/data/hfopenllm_v2/DreadPoor/Promissum_Mane-8B-LINEAR/08317b59-ff74-43c8-bea5-2a266c38816e.json
new file mode 100644
index 000000000..c14c68ca6
--- /dev/null
+++ b/data/hfopenllm_v2/DreadPoor/Promissum_Mane-8B-LINEAR/08317b59-ff74-43c8-bea5-2a266c38816e.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/DreadPoor_Promissum_Mane-8B-LINEAR/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Promissum_Mane-8B-LINEAR",
+    "id": "DreadPoor/Promissum_Mane-8B-LINEAR",
+    "developer": "DreadPoor",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.715
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5458
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1556
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3045
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.42
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3851
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DreadPoor/Promissum_Mane-8B-LINEAR/d44a7888-1463-4492-9359-f8287a8f7f01.json b/data/hfopenllm_v2/DreadPoor/Promissum_Mane-8B-LINEAR/d44a7888-1463-4492-9359-f8287a8f7f01.json
deleted file mode 100644
index ba17a32d5..000000000
--- a/data/hfopenllm_v2/DreadPoor/Promissum_Mane-8B-LINEAR/d44a7888-1463-4492-9359-f8287a8f7f01.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/DreadPoor_Promissum_Mane-8B-LINEAR/1762652579.5796108",
-  "retrieved_timestamp": "1762652579.579612",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "DreadPoor/Promissum_Mane-8B-LINEAR",
-    "developer": "DreadPoor",
-    "inference_platform": "unknown",
-    "id": "DreadPoor/Promissum_Mane-8B-LINEAR",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7150361042035134
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5457684398146738
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1555891238670695
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30453020134228187
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42004166666666665
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.38505651595744683
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/DreadPoor/RPMash-8B-Model_Stock/4106d4d3-344a-4c1f-b9ce-a3140d435013.json b/data/hfopenllm_v2/DreadPoor/RPMash-8B-Model_Stock/4106d4d3-344a-4c1f-b9ce-a3140d435013.json
new file mode 100644
index 000000000..4c1772a72
--- /dev/null
+++ b/data/hfopenllm_v2/DreadPoor/RPMash-8B-Model_Stock/4106d4d3-344a-4c1f-b9ce-a3140d435013.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/DreadPoor_RPMash-8B-Model_Stock/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "RPMash-8B-Model_Stock",
+    "id": "DreadPoor/RPMash-8B-Model_Stock",
+    "developer": "DreadPoor",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4564
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5169
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.108
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2869
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4054
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3604
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DreadPoor/RPMash-8B-Model_Stock/aa8e7299-0c36-4f27-b8c9-e9a5e4da8c97.json b/data/hfopenllm_v2/DreadPoor/RPMash-8B-Model_Stock/aa8e7299-0c36-4f27-b8c9-e9a5e4da8c97.json
deleted file mode 100644
index dcdb7147e..000000000
--- a/data/hfopenllm_v2/DreadPoor/RPMash-8B-Model_Stock/aa8e7299-0c36-4f27-b8c9-e9a5e4da8c97.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/DreadPoor_RPMash-8B-Model_Stock/1762652579.5800488",
-  "retrieved_timestamp": "1762652579.58005",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "DreadPoor/RPMash-8B-Model_Stock",
-    "developer": "DreadPoor",
-    "inference_platform": "unknown",
-    "id": "DreadPoor/RPMash-8B-Model_Stock",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4563502617499346
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5169088291675549
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.10800604229607251
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.28691275167785235
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.405375
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3603723404255319
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/DreadPoor/RPMash_V3-8B-Model_Stock/2b308fad-8494-4056-8b84-82733cd2710a.json b/data/hfopenllm_v2/DreadPoor/RPMash_V3-8B-Model_Stock/2b308fad-8494-4056-8b84-82733cd2710a.json
new file mode 100644
index 000000000..1c26373d3
--- /dev/null
+++ b/data/hfopenllm_v2/DreadPoor/RPMash_V3-8B-Model_Stock/2b308fad-8494-4056-8b84-82733cd2710a.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/DreadPoor_RPMash_V3-8B-Model_Stock/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "RPMash_V3-8B-Model_Stock",
+    "id": "DreadPoor/RPMash_V3-8B-Model_Stock",
+    "developer": "DreadPoor",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7049
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5217
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1042
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3003
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3778
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3614
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DreadPoor/RPMash_V3-8B-Model_Stock/c7e0c75d-f0c1-4a44-b540-607e99c69e92.json b/data/hfopenllm_v2/DreadPoor/RPMash_V3-8B-Model_Stock/c7e0c75d-f0c1-4a44-b540-607e99c69e92.json
deleted file mode 100644
index 9cadb69ef..000000000
--- a/data/hfopenllm_v2/DreadPoor/RPMash_V3-8B-Model_Stock/c7e0c75d-f0c1-4a44-b540-607e99c69e92.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/DreadPoor_RPMash_V3-8B-Model_Stock/1762652579.580262",
-  "retrieved_timestamp": "1762652579.580263",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "DreadPoor/RPMash_V3-8B-Model_Stock",
-    "developer": "DreadPoor",
-    "inference_platform": "unknown",
-    "id": "DreadPoor/RPMash_V3-8B-Model_Stock",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.70491961329273
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5217453397523113
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1042296072507553
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30033557046979864
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37775000000000003
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.36136968085106386
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/DreadPoor/Rusted_Gold-8B-LINEAR/70f7842f-1111-4c6a-914d-35e48537d1fc.json b/data/hfopenllm_v2/DreadPoor/Rusted_Gold-8B-LINEAR/70f7842f-1111-4c6a-914d-35e48537d1fc.json
deleted file mode 100644
index d95458c4f..000000000
--- a/data/hfopenllm_v2/DreadPoor/Rusted_Gold-8B-LINEAR/70f7842f-1111-4c6a-914d-35e48537d1fc.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/DreadPoor_Rusted_Gold-8B-LINEAR/1762652579.58047",
-  "retrieved_timestamp": "1762652579.580471",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "DreadPoor/Rusted_Gold-8B-LINEAR",
-    "developer": "DreadPoor",
-    "inference_platform": "unknown",
-    "id": "DreadPoor/Rusted_Gold-8B-LINEAR",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7296240641497892
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5386646439313688
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1933534743202417
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2986577181208054
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41775
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37799202127659576
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/DreadPoor/Rusted_Gold-8B-LINEAR/93c867d0-4f10-440c-838c-91d1633fe584.json b/data/hfopenllm_v2/DreadPoor/Rusted_Gold-8B-LINEAR/93c867d0-4f10-440c-838c-91d1633fe584.json
new file mode 100644
index 000000000..f8b506d6b
--- /dev/null
+++ b/data/hfopenllm_v2/DreadPoor/Rusted_Gold-8B-LINEAR/93c867d0-4f10-440c-838c-91d1633fe584.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/DreadPoor_Rusted_Gold-8B-LINEAR/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Rusted_Gold-8B-LINEAR",
+    "id": "DreadPoor/Rusted_Gold-8B-LINEAR",
+    "developer": "DreadPoor",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7296
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5387
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1934
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2987
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4178
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.378
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DreadPoor/Rusted_Platinum-8B-LINEAR/1a4a69c5-4acc-4ad9-adb2-bd9cf0fa2875.json b/data/hfopenllm_v2/DreadPoor/Rusted_Platinum-8B-LINEAR/1a4a69c5-4acc-4ad9-adb2-bd9cf0fa2875.json
new file mode 100644
index 000000000..928a50b08
--- /dev/null
+++ b/data/hfopenllm_v2/DreadPoor/Rusted_Platinum-8B-LINEAR/1a4a69c5-4acc-4ad9-adb2-bd9cf0fa2875.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/DreadPoor_Rusted_Platinum-8B-LINEAR/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Rusted_Platinum-8B-LINEAR",
+    "id": "DreadPoor/Rusted_Platinum-8B-LINEAR",
+    "developer": "DreadPoor",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.718
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5428
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1722
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2802
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3967
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.373
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DreadPoor/Rusted_Platinum-8B-LINEAR/4b9a1e5a-dc99-44d9-b4f4-6bef1eb285ca.json b/data/hfopenllm_v2/DreadPoor/Rusted_Platinum-8B-LINEAR/4b9a1e5a-dc99-44d9-b4f4-6bef1eb285ca.json
deleted file mode 100644
index e24b7ac76..000000000
--- a/data/hfopenllm_v2/DreadPoor/Rusted_Platinum-8B-LINEAR/4b9a1e5a-dc99-44d9-b4f4-6bef1eb285ca.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/DreadPoor_Rusted_Platinum-8B-LINEAR/1762652579.580692",
-  "retrieved_timestamp": "1762652579.580693",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "DreadPoor/Rusted_Platinum-8B-LINEAR",
-    "developer": "DreadPoor",
-    "inference_platform": "unknown",
-    "id": "DreadPoor/Rusted_Platinum-8B-LINEAR",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7179838384375679
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5427868416987739
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.17220543806646527
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2802013422818792
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.39666666666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37300531914893614
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/DreadPoor/Rusted_Platinum-8B-Model_Stock/151226ba-9744-45bc-b923-30df57f7aa3e.json b/data/hfopenllm_v2/DreadPoor/Rusted_Platinum-8B-Model_Stock/151226ba-9744-45bc-b923-30df57f7aa3e.json
new file mode 100644
index 000000000..f71f0f094
--- /dev/null
+++ b/data/hfopenllm_v2/DreadPoor/Rusted_Platinum-8B-Model_Stock/151226ba-9744-45bc-b923-30df57f7aa3e.json
@@ -0,0 +1,132 @@
+{
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+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Rusted_Platinum-8B-Model_Stock",
+    "id": "DreadPoor/Rusted_Platinum-8B-Model_Stock",
+    "developer": "DreadPoor",
+    "inference_platform": "unknown",
+    "additional_details": {
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+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
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+  "evaluation_results": [
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
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+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4408
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5243
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+      }
+    },
+    {
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+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+      }
+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
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+      },
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+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DreadPoor/Rusted_Platinum-8B-Model_Stock/219e3183-8d9c-4188-a550-72d7f20ff1ec.json b/data/hfopenllm_v2/DreadPoor/Rusted_Platinum-8B-Model_Stock/219e3183-8d9c-4188-a550-72d7f20ff1ec.json
deleted file mode 100644
index 6825a52a3..000000000
--- a/data/hfopenllm_v2/DreadPoor/Rusted_Platinum-8B-Model_Stock/219e3183-8d9c-4188-a550-72d7f20ff1ec.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/DreadPoor_Rusted_Platinum-8B-Model_Stock/1762652579.580914",
-  "retrieved_timestamp": "1762652579.580915",
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
-    "name": "DreadPoor/Rusted_Platinum-8B-Model_Stock",
-    "developer": "DreadPoor",
-    "inference_platform": "unknown",
-    "id": "DreadPoor/Rusted_Platinum-8B-Model_Stock",
-    "additional_details": {
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-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
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-  },
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-        "lower_is_better": false,
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diff --git a/data/hfopenllm_v2/DreadPoor/Sellen-8B-model_stock/45e281e8-f28c-40a5-92e4-c16b627adb32.json b/data/hfopenllm_v2/DreadPoor/Sellen-8B-model_stock/45e281e8-f28c-40a5-92e4-c16b627adb32.json
deleted file mode 100644
index 9c769e2d0..000000000
--- a/data/hfopenllm_v2/DreadPoor/Sellen-8B-model_stock/45e281e8-f28c-40a5-92e4-c16b627adb32.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "retrieved_timestamp": "1762652579.581144",
-  "source_data": [
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-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "DreadPoor/Sellen-8B-model_stock",
-    "developer": "DreadPoor",
-    "inference_platform": "unknown",
-    "id": "DreadPoor/Sellen-8B-model_stock",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
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-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
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-        "lower_is_better": false,
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-        "lower_is_better": false,
-        "score_type": "continuous",
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-      "score_details": {
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-    },
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-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/DreadPoor/Sellen-8B-model_stock/98363657-0793-4eb3-94de-28961afc92ea.json b/data/hfopenllm_v2/DreadPoor/Sellen-8B-model_stock/98363657-0793-4eb3-94de-28961afc92ea.json
new file mode 100644
index 000000000..1c2ffb709
--- /dev/null
+++ b/data/hfopenllm_v2/DreadPoor/Sellen-8B-model_stock/98363657-0793-4eb3-94de-28961afc92ea.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/DreadPoor_Sellen-8B-model_stock/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Sellen-8B-model_stock",
+    "id": "DreadPoor/Sellen-8B-model_stock",
+    "developer": "DreadPoor",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7113
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+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5232
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1337
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2743
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.396
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.357
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DreadPoor/Something-8B-Model_Stock/1d1bf908-44fb-4b87-b52d-845a1cdafc08.json b/data/hfopenllm_v2/DreadPoor/Something-8B-Model_Stock/1d1bf908-44fb-4b87-b52d-845a1cdafc08.json
deleted file mode 100644
index e35a1fe2a..000000000
--- a/data/hfopenllm_v2/DreadPoor/Something-8B-Model_Stock/1d1bf908-44fb-4b87-b52d-845a1cdafc08.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "retrieved_timestamp": "1762652579.58154",
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
-    "name": "DreadPoor/Something-8B-Model_Stock",
-    "developer": "DreadPoor",
-    "inference_platform": "unknown",
-    "id": "DreadPoor/Something-8B-Model_Stock",
-    "additional_details": {
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-      "params_billions": 8.03
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-  "evaluation_results": [
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-      },
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diff --git a/data/hfopenllm_v2/DreadPoor/Something-8B-Model_Stock/a32b4ded-6bff-441e-afbd-736e6d8cce5c.json b/data/hfopenllm_v2/DreadPoor/Something-8B-Model_Stock/a32b4ded-6bff-441e-afbd-736e6d8cce5c.json
new file mode 100644
index 000000000..7c20e3cb1
--- /dev/null
+++ b/data/hfopenllm_v2/DreadPoor/Something-8B-Model_Stock/a32b4ded-6bff-441e-afbd-736e6d8cce5c.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/DreadPoor_Something-8B-Model_Stock/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Something-8B-Model_Stock",
+    "id": "DreadPoor/Something-8B-Model_Stock",
+    "developer": "DreadPoor",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5043
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+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5395
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1798
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3171
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4187
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3885
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DreadPoor/Spring_Dusk-8B-SCE/326bcf4a-02e9-4218-8bf2-55a94a79435e.json b/data/hfopenllm_v2/DreadPoor/Spring_Dusk-8B-SCE/326bcf4a-02e9-4218-8bf2-55a94a79435e.json
new file mode 100644
index 000000000..decc0df8c
--- /dev/null
+++ b/data/hfopenllm_v2/DreadPoor/Spring_Dusk-8B-SCE/326bcf4a-02e9-4218-8bf2-55a94a79435e.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/DreadPoor_Spring_Dusk-8B-SCE/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Spring_Dusk-8B-SCE",
+    "id": "DreadPoor/Spring_Dusk-8B-SCE",
+    "developer": "DreadPoor",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6515
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5635
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+    {
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+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2878
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.46
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3436
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DreadPoor/Spring_Dusk-8B-SCE/e9124a70-037d-41ed-becb-953382a3f43a.json b/data/hfopenllm_v2/DreadPoor/Spring_Dusk-8B-SCE/e9124a70-037d-41ed-becb-953382a3f43a.json
deleted file mode 100644
index e02332e67..000000000
--- a/data/hfopenllm_v2/DreadPoor/Spring_Dusk-8B-SCE/e9124a70-037d-41ed-becb-953382a3f43a.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/DreadPoor_Spring_Dusk-8B-SCE/1762652579.581773",
-  "retrieved_timestamp": "1762652579.581774",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "DreadPoor/Spring_Dusk-8B-SCE",
-    "developer": "DreadPoor",
-    "inference_platform": "unknown",
-    "id": "DreadPoor/Spring_Dusk-8B-SCE",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6514636719459922
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5635271357931001
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.07628398791540786
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.287751677852349
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.45997916666666666
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3435837765957447
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/DreadPoor/Summer_Dawn-8B-SCE/145facc2-ab11-4c68-b841-762e0ad9bd5a.json b/data/hfopenllm_v2/DreadPoor/Summer_Dawn-8B-SCE/145facc2-ab11-4c68-b841-762e0ad9bd5a.json
new file mode 100644
index 000000000..4227020d6
--- /dev/null
+++ b/data/hfopenllm_v2/DreadPoor/Summer_Dawn-8B-SCE/145facc2-ab11-4c68-b841-762e0ad9bd5a.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/DreadPoor_Summer_Dawn-8B-SCE/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Summer_Dawn-8B-SCE",
+    "id": "DreadPoor/Summer_Dawn-8B-SCE",
+    "developer": "DreadPoor",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6642
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5391
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1722
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3003
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.412
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3753
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DreadPoor/Summer_Dawn-8B-SCE/7d7eefa4-193a-4158-a903-9a8484b36e9a.json b/data/hfopenllm_v2/DreadPoor/Summer_Dawn-8B-SCE/7d7eefa4-193a-4158-a903-9a8484b36e9a.json
deleted file mode 100644
index 463551b09..000000000
--- a/data/hfopenllm_v2/DreadPoor/Summer_Dawn-8B-SCE/7d7eefa4-193a-4158-a903-9a8484b36e9a.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/DreadPoor_Summer_Dawn-8B-SCE/1762652579.581994",
-  "retrieved_timestamp": "1762652579.581994",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "DreadPoor/Summer_Dawn-8B-SCE",
-    "developer": "DreadPoor",
-    "inference_platform": "unknown",
-    "id": "DreadPoor/Summer_Dawn-8B-SCE",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6642032030567783
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.539111375413361
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-        "score": 0.17220543806646527
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-    },
-    {
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    {
-      "evaluation_name": "MUSR",
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-        "evaluation_description": "Accuracy on MUSR",
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37533244680851063
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-}
diff --git a/data/hfopenllm_v2/DreadPoor/Summer_Dusk-8B-TIES/a2cad434-61a0-40be-8740-6c6a8e3cea25.json b/data/hfopenllm_v2/DreadPoor/Summer_Dusk-8B-TIES/a2cad434-61a0-40be-8740-6c6a8e3cea25.json
deleted file mode 100644
index fa122f843..000000000
--- a/data/hfopenllm_v2/DreadPoor/Summer_Dusk-8B-TIES/a2cad434-61a0-40be-8740-6c6a8e3cea25.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/DreadPoor_Summer_Dusk-8B-TIES/1762652579.582258",
-  "retrieved_timestamp": "1762652579.582258",
-  "source_data": [
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-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "DreadPoor/Summer_Dusk-8B-TIES",
-    "developer": "DreadPoor",
-    "inference_platform": "unknown",
-    "id": "DreadPoor/Summer_Dusk-8B-TIES",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
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-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
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-        "lower_is_better": false,
-        "score_type": "continuous",
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-    {
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-        "lower_is_better": false,
-        "score_type": "continuous",
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-      "score_details": {
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-    {
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-    {
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diff --git a/data/hfopenllm_v2/DreadPoor/Summer_Dusk-8B-TIES/d3e6aae6-9284-4309-8d8c-02c9e797a58b.json b/data/hfopenllm_v2/DreadPoor/Summer_Dusk-8B-TIES/d3e6aae6-9284-4309-8d8c-02c9e797a58b.json
new file mode 100644
index 000000000..563ad7232
--- /dev/null
+++ b/data/hfopenllm_v2/DreadPoor/Summer_Dusk-8B-TIES/d3e6aae6-9284-4309-8d8c-02c9e797a58b.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/DreadPoor_Summer_Dusk-8B-TIES/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Summer_Dusk-8B-TIES",
+    "id": "DreadPoor/Summer_Dusk-8B-TIES",
+    "developer": "DreadPoor",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4922
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.536
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1805
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.307
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4267
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3856
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DreadPoor/Summer_Rain-8B-SCE/6ee8537c-90e8-4455-83ca-c8c375a5ead7.json b/data/hfopenllm_v2/DreadPoor/Summer_Rain-8B-SCE/6ee8537c-90e8-4455-83ca-c8c375a5ead7.json
new file mode 100644
index 000000000..9e3634f9a
--- /dev/null
+++ b/data/hfopenllm_v2/DreadPoor/Summer_Rain-8B-SCE/6ee8537c-90e8-4455-83ca-c8c375a5ead7.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/DreadPoor_Summer_Rain-8B-SCE/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Summer_Rain-8B-SCE",
+    "id": "DreadPoor/Summer_Rain-8B-SCE",
+    "developer": "DreadPoor",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5459
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5846
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0702
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3037
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4477
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3551
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DreadPoor/Summer_Rain-8B-SCE/9f4730ec-a162-455c-83ef-c8fa9ebd036c.json b/data/hfopenllm_v2/DreadPoor/Summer_Rain-8B-SCE/9f4730ec-a162-455c-83ef-c8fa9ebd036c.json
deleted file mode 100644
index 00d197578..000000000
--- a/data/hfopenllm_v2/DreadPoor/Summer_Rain-8B-SCE/9f4730ec-a162-455c-83ef-c8fa9ebd036c.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/DreadPoor_Summer_Rain-8B-SCE/1762652579.582465",
-  "retrieved_timestamp": "1762652579.5824661",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "DreadPoor/Summer_Rain-8B-SCE",
-    "developer": "DreadPoor",
-    "inference_platform": "unknown",
-    "id": "DreadPoor/Summer_Rain-8B-SCE",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5459259210007226
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5845948417986419
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "GPQA",
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-      },
-      "score_details": {
-        "score": 0.3036912751677852
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4477291666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3550531914893617
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/DreadPoor/Summer_Rain-8B-TIES/1704c33f-e00e-4fbb-be4c-3d1fe85d635f.json b/data/hfopenllm_v2/DreadPoor/Summer_Rain-8B-TIES/1704c33f-e00e-4fbb-be4c-3d1fe85d635f.json
deleted file mode 100644
index dcd3e1795..000000000
--- a/data/hfopenllm_v2/DreadPoor/Summer_Rain-8B-TIES/1704c33f-e00e-4fbb-be4c-3d1fe85d635f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/DreadPoor_Summer_Rain-8B-TIES/1762652579.582679",
-  "retrieved_timestamp": "1762652579.582679",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "DreadPoor/Summer_Rain-8B-TIES",
-    "developer": "DreadPoor",
-    "inference_platform": "unknown",
-    "id": "DreadPoor/Summer_Rain-8B-TIES",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
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-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5845948417986419
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-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.0702416918429003
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3036912751677852
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4477291666666667
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3550531914893617
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/DreadPoor/Summer_Rain-8B-TIES/6efbfb38-57e5-46c7-b765-f7d0356afb97.json b/data/hfopenllm_v2/DreadPoor/Summer_Rain-8B-TIES/6efbfb38-57e5-46c7-b765-f7d0356afb97.json
new file mode 100644
index 000000000..2e8e86b23
--- /dev/null
+++ b/data/hfopenllm_v2/DreadPoor/Summer_Rain-8B-TIES/6efbfb38-57e5-46c7-b765-f7d0356afb97.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/DreadPoor_Summer_Rain-8B-TIES/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Summer_Rain-8B-TIES",
+    "id": "DreadPoor/Summer_Rain-8B-TIES",
+    "developer": "DreadPoor",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5444
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5846
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+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0702
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3037
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4477
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3551
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DreadPoor/Sun-8B-Model_Stock/13b16b8d-533f-4323-a75a-e16df96b8351.json b/data/hfopenllm_v2/DreadPoor/Sun-8B-Model_Stock/13b16b8d-533f-4323-a75a-e16df96b8351.json
deleted file mode 100644
index e7ee042e1..000000000
--- a/data/hfopenllm_v2/DreadPoor/Sun-8B-Model_Stock/13b16b8d-533f-4323-a75a-e16df96b8351.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/DreadPoor_Sun-8B-Model_Stock/1762652579.58288",
-  "retrieved_timestamp": "1762652579.58288",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "DreadPoor/Sun-8B-Model_Stock",
-    "developer": "DreadPoor",
-    "inference_platform": "unknown",
-    "id": "DreadPoor/Sun-8B-Model_Stock",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7758358932077998
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5263511014407583
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.20996978851963746
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.29949664429530204
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.40975
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.38347739361702127
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/DreadPoor/Sun-8B-Model_Stock/f4d418d9-1089-452d-9c7f-4cc4712e6ac7.json b/data/hfopenllm_v2/DreadPoor/Sun-8B-Model_Stock/f4d418d9-1089-452d-9c7f-4cc4712e6ac7.json
new file mode 100644
index 000000000..0c4fbb59f
--- /dev/null
+++ b/data/hfopenllm_v2/DreadPoor/Sun-8B-Model_Stock/f4d418d9-1089-452d-9c7f-4cc4712e6ac7.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/DreadPoor_Sun-8B-Model_Stock/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Sun-8B-Model_Stock",
+    "id": "DreadPoor/Sun-8B-Model_Stock",
+    "developer": "DreadPoor",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7758
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5264
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.21
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2995
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4098
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3835
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DreadPoor/Sweetened_Condensed_Milk-8B-Model_Stock/1c9b325b-92b3-499a-a3ea-026269c63c88.json b/data/hfopenllm_v2/DreadPoor/Sweetened_Condensed_Milk-8B-Model_Stock/1c9b325b-92b3-499a-a3ea-026269c63c88.json
new file mode 100644
index 000000000..28f4c0025
--- /dev/null
+++ b/data/hfopenllm_v2/DreadPoor/Sweetened_Condensed_Milk-8B-Model_Stock/1c9b325b-92b3-499a-a3ea-026269c63c88.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/DreadPoor_Sweetened_Condensed_Milk-8B-Model_Stock/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Sweetened_Condensed_Milk-8B-Model_Stock",
+    "id": "DreadPoor/Sweetened_Condensed_Milk-8B-Model_Stock",
+    "developer": "DreadPoor",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7417
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5406
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1873
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3029
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4107
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3848
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DreadPoor/Sweetened_Condensed_Milk-8B-Model_Stock/d0461daa-d106-44ce-9d9c-03a6fef37b45.json b/data/hfopenllm_v2/DreadPoor/Sweetened_Condensed_Milk-8B-Model_Stock/d0461daa-d106-44ce-9d9c-03a6fef37b45.json
deleted file mode 100644
index 743f28c4f..000000000
--- a/data/hfopenllm_v2/DreadPoor/Sweetened_Condensed_Milk-8B-Model_Stock/d0461daa-d106-44ce-9d9c-03a6fef37b45.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/DreadPoor_Sweetened_Condensed_Milk-8B-Model_Stock/1762652579.5830941",
-  "retrieved_timestamp": "1762652579.583095",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "DreadPoor/Sweetened_Condensed_Milk-8B-Model_Stock",
-    "developer": "DreadPoor",
-    "inference_platform": "unknown",
-    "id": "DreadPoor/Sweetened_Condensed_Milk-8B-Model_Stock",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7417142071924716
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5406287643522295
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.18731117824773413
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3028523489932886
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4106770833333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.38480718085106386
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/DreadPoor/TEST02-Ignore/414bb880-e2b2-43fb-ad9b-f51d7c4b7ad4.json b/data/hfopenllm_v2/DreadPoor/TEST02-Ignore/414bb880-e2b2-43fb-ad9b-f51d7c4b7ad4.json
deleted file mode 100644
index 594353017..000000000
--- a/data/hfopenllm_v2/DreadPoor/TEST02-Ignore/414bb880-e2b2-43fb-ad9b-f51d7c4b7ad4.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/DreadPoor_TEST02-Ignore/1762652579.583313",
-  "retrieved_timestamp": "1762652579.583314",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "DreadPoor/TEST02-Ignore",
-    "developer": "DreadPoor",
-    "inference_platform": "unknown",
-    "id": "DreadPoor/TEST02-Ignore",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6118964347930158
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5601644306147606
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.08685800604229607
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.28439597315436244
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41985416666666664
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3468251329787234
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/DreadPoor/TEST02-Ignore/c546ccde-cef3-4de2-a49f-24517d76dde5.json b/data/hfopenllm_v2/DreadPoor/TEST02-Ignore/c546ccde-cef3-4de2-a49f-24517d76dde5.json
new file mode 100644
index 000000000..875b97c44
--- /dev/null
+++ b/data/hfopenllm_v2/DreadPoor/TEST02-Ignore/c546ccde-cef3-4de2-a49f-24517d76dde5.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/DreadPoor_TEST02-Ignore/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "TEST02-Ignore",
+    "id": "DreadPoor/TEST02-Ignore",
+    "developer": "DreadPoor",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6119
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5602
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0869
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2844
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4199
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3468
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DreadPoor/TEST03-ignore/ceba83fe-89b2-4b8a-ba7d-ed1ad9acb070.json b/data/hfopenllm_v2/DreadPoor/TEST03-ignore/ceba83fe-89b2-4b8a-ba7d-ed1ad9acb070.json
deleted file mode 100644
index 71f201cfd..000000000
--- a/data/hfopenllm_v2/DreadPoor/TEST03-ignore/ceba83fe-89b2-4b8a-ba7d-ed1ad9acb070.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/DreadPoor_TEST03-ignore/1762652579.583565",
-  "retrieved_timestamp": "1762652579.5835662",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "DreadPoor/TEST03-ignore",
-    "developer": "DreadPoor",
-    "inference_platform": "unknown",
-    "id": "DreadPoor/TEST03-ignore",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6967014189018471
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5383414134372179
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.16540785498489427
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3087248322147651
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4186145833333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37890625
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/DreadPoor/TEST03-ignore/e85d3ccf-f48d-4e5c-b893-771a107773d4.json b/data/hfopenllm_v2/DreadPoor/TEST03-ignore/e85d3ccf-f48d-4e5c-b893-771a107773d4.json
new file mode 100644
index 000000000..f463020e8
--- /dev/null
+++ b/data/hfopenllm_v2/DreadPoor/TEST03-ignore/e85d3ccf-f48d-4e5c-b893-771a107773d4.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/DreadPoor_TEST03-ignore/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "TEST03-ignore",
+    "id": "DreadPoor/TEST03-ignore",
+    "developer": "DreadPoor",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6967
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5383
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1654
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3087
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4186
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3789
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DreadPoor/TEST06-ignore/15dbba84-b177-4bcd-8874-0153152f0015.json b/data/hfopenllm_v2/DreadPoor/TEST06-ignore/15dbba84-b177-4bcd-8874-0153152f0015.json
deleted file mode 100644
index 87383d764..000000000
--- a/data/hfopenllm_v2/DreadPoor/TEST06-ignore/15dbba84-b177-4bcd-8874-0153152f0015.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/DreadPoor_TEST06-ignore/1762652579.583824",
-  "retrieved_timestamp": "1762652579.5838249",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "DreadPoor/TEST06-ignore",
-    "developer": "DreadPoor",
-    "inference_platform": "unknown",
-    "id": "DreadPoor/TEST06-ignore",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7322969720342026
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5509060880148441
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11782477341389729
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.28691275167785235
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4224895833333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3615359042553192
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/DreadPoor/TEST06-ignore/b8d22ade-874e-4ff3-9fcd-dbe14220d48b.json b/data/hfopenllm_v2/DreadPoor/TEST06-ignore/b8d22ade-874e-4ff3-9fcd-dbe14220d48b.json
new file mode 100644
index 000000000..b39933b07
--- /dev/null
+++ b/data/hfopenllm_v2/DreadPoor/TEST06-ignore/b8d22ade-874e-4ff3-9fcd-dbe14220d48b.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/DreadPoor_TEST06-ignore/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "TEST06-ignore",
+    "id": "DreadPoor/TEST06-ignore",
+    "developer": "DreadPoor",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7323
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5509
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1178
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2869
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4225
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3615
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DreadPoor/TEST07-ignore/39b77252-2729-429b-b220-3b19ca0b6a6c.json b/data/hfopenllm_v2/DreadPoor/TEST07-ignore/39b77252-2729-429b-b220-3b19ca0b6a6c.json
deleted file mode 100644
index b9b471108..000000000
--- a/data/hfopenllm_v2/DreadPoor/TEST07-ignore/39b77252-2729-429b-b220-3b19ca0b6a6c.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/DreadPoor_TEST07-ignore/1762652579.5841951",
-  "retrieved_timestamp": "1762652579.584198",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "DreadPoor/TEST07-ignore",
-    "developer": "DreadPoor",
-    "inference_platform": "unknown",
-    "id": "DreadPoor/TEST07-ignore",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7399655137258031
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5561275711510345
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1661631419939577
-      }
-    },
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3087248322147651
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.40937500000000004
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3879654255319149
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/DreadPoor/TEST07-ignore/97e8e7e2-74a4-42a5-a0b1-250e47d3c3e6.json b/data/hfopenllm_v2/DreadPoor/TEST07-ignore/97e8e7e2-74a4-42a5-a0b1-250e47d3c3e6.json
new file mode 100644
index 000000000..42a699d62
--- /dev/null
+++ b/data/hfopenllm_v2/DreadPoor/TEST07-ignore/97e8e7e2-74a4-42a5-a0b1-250e47d3c3e6.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/DreadPoor_TEST07-ignore/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "TEST07-ignore",
+    "id": "DreadPoor/TEST07-ignore",
+    "developer": "DreadPoor",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.74
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5561
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1662
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3087
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4094
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.388
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DreadPoor/TEST08-ignore/79b7bdb6-82a7-466f-8d9a-b26211f4ee73.json b/data/hfopenllm_v2/DreadPoor/TEST08-ignore/79b7bdb6-82a7-466f-8d9a-b26211f4ee73.json
deleted file mode 100644
index 873020d50..000000000
--- a/data/hfopenllm_v2/DreadPoor/TEST08-ignore/79b7bdb6-82a7-466f-8d9a-b26211f4ee73.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/DreadPoor_TEST08-ignore/1762652579.5845299",
-  "retrieved_timestamp": "1762652579.5845308",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "DreadPoor/TEST08-ignore",
-    "developer": "DreadPoor",
-    "inference_platform": "unknown",
-    "id": "DreadPoor/TEST08-ignore",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7466599733152479
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5453519655444978
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.18202416918429004
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.31291946308724833
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.40810416666666666
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3853058510638298
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/DreadPoor/TEST08-ignore/b2d56bb6-a726-4e47-8bc6-c016a51aac5c.json b/data/hfopenllm_v2/DreadPoor/TEST08-ignore/b2d56bb6-a726-4e47-8bc6-c016a51aac5c.json
new file mode 100644
index 000000000..9477b8a75
--- /dev/null
+++ b/data/hfopenllm_v2/DreadPoor/TEST08-ignore/b2d56bb6-a726-4e47-8bc6-c016a51aac5c.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/DreadPoor_TEST08-ignore/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "TEST08-ignore",
+    "id": "DreadPoor/TEST08-ignore",
+    "developer": "DreadPoor",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7467
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5454
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.182
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3129
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4081
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3853
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DreadPoor/Trinas_Nectar-8B-model_stock/3366f6d8-41bc-4c2c-a72c-bc0fd7dc8dd2.json b/data/hfopenllm_v2/DreadPoor/Trinas_Nectar-8B-model_stock/3366f6d8-41bc-4c2c-a72c-bc0fd7dc8dd2.json
new file mode 100644
index 000000000..bf826442f
--- /dev/null
+++ b/data/hfopenllm_v2/DreadPoor/Trinas_Nectar-8B-model_stock/3366f6d8-41bc-4c2c-a72c-bc0fd7dc8dd2.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/DreadPoor_Trinas_Nectar-8B-model_stock/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Trinas_Nectar-8B-model_stock",
+    "id": "DreadPoor/Trinas_Nectar-8B-model_stock",
+    "developer": "DreadPoor",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7259
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5256
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1526
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2861
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4068
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3618
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DreadPoor/Trinas_Nectar-8B-model_stock/922fec6c-cfec-47cf-a374-5676635a5b40.json b/data/hfopenllm_v2/DreadPoor/Trinas_Nectar-8B-model_stock/922fec6c-cfec-47cf-a374-5676635a5b40.json
deleted file mode 100644
index d0c7ead5a..000000000
--- a/data/hfopenllm_v2/DreadPoor/Trinas_Nectar-8B-model_stock/922fec6c-cfec-47cf-a374-5676635a5b40.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/DreadPoor_Trinas_Nectar-8B-model_stock/1762652579.58478",
-  "retrieved_timestamp": "1762652579.5847821",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "DreadPoor/Trinas_Nectar-8B-model_stock",
-    "developer": "DreadPoor",
-    "inference_platform": "unknown",
-    "id": "DreadPoor/Trinas_Nectar-8B-model_stock",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7259272064788096
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5256123853406084
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.15256797583081572
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2860738255033557
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4067708333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.36178523936170215
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/DreadPoor/UNTESTED-VENN_1.2-8B-Model_Stock/5945660f-40e1-4c49-8f28-581f06b51e59.json b/data/hfopenllm_v2/DreadPoor/UNTESTED-VENN_1.2-8B-Model_Stock/5945660f-40e1-4c49-8f28-581f06b51e59.json
deleted file mode 100644
index 3419d42d8..000000000
--- a/data/hfopenllm_v2/DreadPoor/UNTESTED-VENN_1.2-8B-Model_Stock/5945660f-40e1-4c49-8f28-581f06b51e59.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/DreadPoor_UNTESTED-VENN_1.2-8B-Model_Stock/1762652579.585024",
-  "retrieved_timestamp": "1762652579.585025",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "DreadPoor/UNTESTED-VENN_1.2-8B-Model_Stock",
-    "developer": "DreadPoor",
-    "inference_platform": "unknown",
-    "id": "DreadPoor/UNTESTED-VENN_1.2-8B-Model_Stock",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 4.015
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.47176270074513404
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5475027267486955
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1540785498489426
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.31543624161073824
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4449375
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.378656914893617
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/DreadPoor/UNTESTED-VENN_1.2-8B-Model_Stock/7ba52efb-3890-4691-8740-9f051f1f645e.json b/data/hfopenllm_v2/DreadPoor/UNTESTED-VENN_1.2-8B-Model_Stock/7ba52efb-3890-4691-8740-9f051f1f645e.json
new file mode 100644
index 000000000..44c3145e9
--- /dev/null
+++ b/data/hfopenllm_v2/DreadPoor/UNTESTED-VENN_1.2-8B-Model_Stock/7ba52efb-3890-4691-8740-9f051f1f645e.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/DreadPoor_UNTESTED-VENN_1.2-8B-Model_Stock/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "UNTESTED-VENN_1.2-8B-Model_Stock",
+    "id": "DreadPoor/UNTESTED-VENN_1.2-8B-Model_Stock",
+    "developer": "DreadPoor",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 4.015
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4718
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5475
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1541
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3154
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4449
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3787
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DreadPoor/VENN_1.2-8B-Model_Stock/0adfce8d-0070-4375-be96-a34466851101.json b/data/hfopenllm_v2/DreadPoor/VENN_1.2-8B-Model_Stock/0adfce8d-0070-4375-be96-a34466851101.json
deleted file mode 100644
index 9568d074d..000000000
--- a/data/hfopenllm_v2/DreadPoor/VENN_1.2-8B-Model_Stock/0adfce8d-0070-4375-be96-a34466851101.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/DreadPoor_VENN_1.2-8B-Model_Stock/1762652579.5852559",
-  "retrieved_timestamp": "1762652579.585257",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "DreadPoor/VENN_1.2-8B-Model_Stock",
-    "developer": "DreadPoor",
-    "inference_platform": "unknown",
-    "id": "DreadPoor/VENN_1.2-8B-Model_Stock",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 4.015
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7226049105262924
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5458812486333333
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.17069486404833836
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.29697986577181207
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42001041666666666
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3720910904255319
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/DreadPoor/VENN_1.2-8B-Model_Stock/7b192b49-057e-418a-b47d-44b0ec82a6b6.json b/data/hfopenllm_v2/DreadPoor/VENN_1.2-8B-Model_Stock/7b192b49-057e-418a-b47d-44b0ec82a6b6.json
new file mode 100644
index 000000000..77da6fb17
--- /dev/null
+++ b/data/hfopenllm_v2/DreadPoor/VENN_1.2-8B-Model_Stock/7b192b49-057e-418a-b47d-44b0ec82a6b6.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/DreadPoor_VENN_1.2-8B-Model_Stock/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "VENN_1.2-8B-Model_Stock",
+    "id": "DreadPoor/VENN_1.2-8B-Model_Stock",
+    "developer": "DreadPoor",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 4.015
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7226
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5459
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1707
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.297
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.42
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3721
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DreadPoor/WIP-Acacia-8B-Model_Stock/d28bdd9d-53bb-498f-84cb-7d482f41d005.json b/data/hfopenllm_v2/DreadPoor/WIP-Acacia-8B-Model_Stock/d28bdd9d-53bb-498f-84cb-7d482f41d005.json
deleted file mode 100644
index 872d5bc66..000000000
--- a/data/hfopenllm_v2/DreadPoor/WIP-Acacia-8B-Model_Stock/d28bdd9d-53bb-498f-84cb-7d482f41d005.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/DreadPoor_WIP-Acacia-8B-Model_Stock/1762652579.5854762",
-  "retrieved_timestamp": "1762652579.585477",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "DreadPoor/WIP-Acacia-8B-Model_Stock",
-    "developer": "DreadPoor",
-    "inference_platform": "unknown",
-    "id": "DreadPoor/WIP-Acacia-8B-Model_Stock",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6246359659038019
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5194665568943516
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.16691842900302115
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3062080536912752
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4225833333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37367021276595747
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/DreadPoor/WIP-Acacia-8B-Model_Stock/f2120d53-bef6-44d6-84a6-a6f8e3537188.json b/data/hfopenllm_v2/DreadPoor/WIP-Acacia-8B-Model_Stock/f2120d53-bef6-44d6-84a6-a6f8e3537188.json
new file mode 100644
index 000000000..aadd0095c
--- /dev/null
+++ b/data/hfopenllm_v2/DreadPoor/WIP-Acacia-8B-Model_Stock/f2120d53-bef6-44d6-84a6-a6f8e3537188.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/DreadPoor_WIP-Acacia-8B-Model_Stock/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "WIP-Acacia-8B-Model_Stock",
+    "id": "DreadPoor/WIP-Acacia-8B-Model_Stock",
+    "developer": "DreadPoor",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6246
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5195
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1669
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3062
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4226
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3737
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DreadPoor/WIP_Damascus-8B-TIES/38e5b086-4a73-4ffa-9b32-eb80405fecb5.json b/data/hfopenllm_v2/DreadPoor/WIP_Damascus-8B-TIES/38e5b086-4a73-4ffa-9b32-eb80405fecb5.json
deleted file mode 100644
index 25a3a8821..000000000
--- a/data/hfopenllm_v2/DreadPoor/WIP_Damascus-8B-TIES/38e5b086-4a73-4ffa-9b32-eb80405fecb5.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/DreadPoor_WIP_Damascus-8B-TIES/1762652579.5856981",
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-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "DreadPoor/WIP_Damascus-8B-TIES",
-    "developer": "DreadPoor",
-    "inference_platform": "unknown",
-    "id": "DreadPoor/WIP_Damascus-8B-TIES",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
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-        "lower_is_better": false,
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-    },
-    {
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-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-      "score_details": {
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-      }
-    },
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-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
-        "score": 0.3070469798657718
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41185416666666663
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37608045212765956
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/DreadPoor/WIP_Damascus-8B-TIES/f5408aa9-85c8-46e5-b225-0480b2e18e97.json b/data/hfopenllm_v2/DreadPoor/WIP_Damascus-8B-TIES/f5408aa9-85c8-46e5-b225-0480b2e18e97.json
new file mode 100644
index 000000000..e05a5b321
--- /dev/null
+++ b/data/hfopenllm_v2/DreadPoor/WIP_Damascus-8B-TIES/f5408aa9-85c8-46e5-b225-0480b2e18e97.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/DreadPoor_WIP_Damascus-8B-TIES/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "WIP_Damascus-8B-TIES",
+    "id": "DreadPoor/WIP_Damascus-8B-TIES",
+    "developer": "DreadPoor",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4776
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5411
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1654
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.307
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4119
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3761
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DreadPoor/Wannabe-8B-Model_Stock/c1918f55-286c-4b29-ac53-2ee8f9d36d9e.json b/data/hfopenllm_v2/DreadPoor/Wannabe-8B-Model_Stock/c1918f55-286c-4b29-ac53-2ee8f9d36d9e.json
new file mode 100644
index 000000000..f551e73cc
--- /dev/null
+++ b/data/hfopenllm_v2/DreadPoor/Wannabe-8B-Model_Stock/c1918f55-286c-4b29-ac53-2ee8f9d36d9e.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/DreadPoor_Wannabe-8B-Model_Stock/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Wannabe-8B-Model_Stock",
+    "id": "DreadPoor/Wannabe-8B-Model_Stock",
+    "developer": "DreadPoor",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7205
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.539
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1775
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3012
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4135
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3831
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DreadPoor/Wannabe-8B-Model_Stock/fafc0425-a4f0-4c5b-8328-5dfca7d6402f.json b/data/hfopenllm_v2/DreadPoor/Wannabe-8B-Model_Stock/fafc0425-a4f0-4c5b-8328-5dfca7d6402f.json
deleted file mode 100644
index 7ecb2dc3d..000000000
--- a/data/hfopenllm_v2/DreadPoor/Wannabe-8B-Model_Stock/fafc0425-a4f0-4c5b-8328-5dfca7d6402f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/DreadPoor_Wannabe-8B-Model_Stock/1762652579.585919",
-  "retrieved_timestamp": "1762652579.58592",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "DreadPoor/Wannabe-8B-Model_Stock",
-    "developer": "DreadPoor",
-    "inference_platform": "unknown",
-    "id": "DreadPoor/Wannabe-8B-Model_Stock",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7204816553411615
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.17749244712990936
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3011744966442953
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41346875
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.383061835106383
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/DreadPoor/What_A_Thrill-8B-Model_Stock/52659d37-67f8-45b8-88e4-11917dc90488.json b/data/hfopenllm_v2/DreadPoor/What_A_Thrill-8B-Model_Stock/52659d37-67f8-45b8-88e4-11917dc90488.json
new file mode 100644
index 000000000..00ab3ed08
--- /dev/null
+++ b/data/hfopenllm_v2/DreadPoor/What_A_Thrill-8B-Model_Stock/52659d37-67f8-45b8-88e4-11917dc90488.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/DreadPoor_What_A_Thrill-8B-Model_Stock/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "What_A_Thrill-8B-Model_Stock",
+    "id": "DreadPoor/What_A_Thrill-8B-Model_Stock",
+    "developer": "DreadPoor",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7064
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5311
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.182
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.297
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.408
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3615
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DreadPoor/What_A_Thrill-8B-Model_Stock/b9fadd79-8220-4023-b92a-c38b07a90e8f.json b/data/hfopenllm_v2/DreadPoor/What_A_Thrill-8B-Model_Stock/b9fadd79-8220-4023-b92a-c38b07a90e8f.json
deleted file mode 100644
index 42bd599a4..000000000
--- a/data/hfopenllm_v2/DreadPoor/What_A_Thrill-8B-Model_Stock/b9fadd79-8220-4023-b92a-c38b07a90e8f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/DreadPoor_What_A_Thrill-8B-Model_Stock/1762652579.5861409",
-  "retrieved_timestamp": "1762652579.586142",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "DreadPoor/What_A_Thrill-8B-Model_Stock",
-    "developer": "DreadPoor",
-    "inference_platform": "unknown",
-    "id": "DreadPoor/What_A_Thrill-8B-Model_Stock",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7064433480941679
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.531144904394377
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.18202416918429004
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.29697986577181207
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.40804166666666664
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3615359042553192
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/DreadPoor/Winter-8B-SCE/556ae77c-effe-44ab-ac4a-1ad7cbd7c363.json b/data/hfopenllm_v2/DreadPoor/Winter-8B-SCE/556ae77c-effe-44ab-ac4a-1ad7cbd7c363.json
new file mode 100644
index 000000000..b9a6a545d
--- /dev/null
+++ b/data/hfopenllm_v2/DreadPoor/Winter-8B-SCE/556ae77c-effe-44ab-ac4a-1ad7cbd7c363.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/DreadPoor_Winter-8B-SCE/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Winter-8B-SCE",
+    "id": "DreadPoor/Winter-8B-SCE",
+    "developer": "DreadPoor",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7536
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5262
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1918
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2995
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4071
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3839
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DreadPoor/Winter-8B-SCE/b351842a-aa2a-494a-8159-c732f071c7c6.json b/data/hfopenllm_v2/DreadPoor/Winter-8B-SCE/b351842a-aa2a-494a-8159-c732f071c7c6.json
deleted file mode 100644
index a0b6e4597..000000000
--- a/data/hfopenllm_v2/DreadPoor/Winter-8B-SCE/b351842a-aa2a-494a-8159-c732f071c7c6.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/DreadPoor_Winter-8B-SCE/1762652579.586359",
-  "retrieved_timestamp": "1762652579.58636",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "DreadPoor/Winter-8B-SCE",
-    "developer": "DreadPoor",
-    "inference_platform": "unknown",
-    "id": "DreadPoor/Winter-8B-SCE",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7536292592543341
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5261733490323383
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.19184290030211482
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.29949664429530204
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4070833333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.38389295212765956
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/DreadPoor/Winter_Dawn-8B-TIES/048fc971-3baf-4740-a132-2f9476d01b7a.json b/data/hfopenllm_v2/DreadPoor/Winter_Dawn-8B-TIES/048fc971-3baf-4740-a132-2f9476d01b7a.json
new file mode 100644
index 000000000..f48ac4b48
--- /dev/null
+++ b/data/hfopenllm_v2/DreadPoor/Winter_Dawn-8B-TIES/048fc971-3baf-4740-a132-2f9476d01b7a.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/DreadPoor_Winter_Dawn-8B-TIES/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Winter_Dawn-8B-TIES",
+    "id": "DreadPoor/Winter_Dawn-8B-TIES",
+    "developer": "DreadPoor",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5496
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5309
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1858
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3096
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4279
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.391
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DreadPoor/Winter_Dawn-8B-TIES/21947721-9f9a-4cc2-aa88-e1853f488167.json b/data/hfopenllm_v2/DreadPoor/Winter_Dawn-8B-TIES/21947721-9f9a-4cc2-aa88-e1853f488167.json
deleted file mode 100644
index b2e517e49..000000000
--- a/data/hfopenllm_v2/DreadPoor/Winter_Dawn-8B-TIES/21947721-9f9a-4cc2-aa88-e1853f488167.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/DreadPoor_Winter_Dawn-8B-TIES/1762652579.586569",
-  "retrieved_timestamp": "1762652579.58657",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "DreadPoor/Winter_Dawn-8B-TIES",
-    "developer": "DreadPoor",
-    "inference_platform": "unknown",
-    "id": "DreadPoor/Winter_Dawn-8B-TIES",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5496482665992899
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5309416142154736
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
-        "score": 0.18580060422960726
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-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30956375838926176
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42785416666666665
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
-        "score": 0.3910405585106383
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/DreadPoor/Winter_Dusk-8B-TIES/abd28d25-01e0-474d-be35-08d816d281f5.json b/data/hfopenllm_v2/DreadPoor/Winter_Dusk-8B-TIES/abd28d25-01e0-474d-be35-08d816d281f5.json
new file mode 100644
index 000000000..1470af900
--- /dev/null
+++ b/data/hfopenllm_v2/DreadPoor/Winter_Dusk-8B-TIES/abd28d25-01e0-474d-be35-08d816d281f5.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/DreadPoor_Winter_Dusk-8B-TIES/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Winter_Dusk-8B-TIES",
+    "id": "DreadPoor/Winter_Dusk-8B-TIES",
+    "developer": "DreadPoor",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7153
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4952
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0718
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2995
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3688
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3478
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DreadPoor/Winter_Dusk-8B-TIES/cdc03c25-5bfb-4185-8e29-40e1af2ef253.json b/data/hfopenllm_v2/DreadPoor/Winter_Dusk-8B-TIES/cdc03c25-5bfb-4185-8e29-40e1af2ef253.json
deleted file mode 100644
index bc114b11b..000000000
--- a/data/hfopenllm_v2/DreadPoor/Winter_Dusk-8B-TIES/cdc03c25-5bfb-4185-8e29-40e1af2ef253.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/DreadPoor_Winter_Dusk-8B-TIES/1762652579.586781",
-  "retrieved_timestamp": "1762652579.586782",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "DreadPoor/Winter_Dusk-8B-TIES",
-    "developer": "DreadPoor",
-    "inference_platform": "unknown",
-    "id": "DreadPoor/Winter_Dusk-8B-TIES",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7152610628687439
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4951882158967103
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.07175226586102719
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.29949664429530204
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3688229166666666
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3478224734042553
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/DreadPoor/Winter_Night-8B-Model_Stock/17f49724-6553-4baa-b354-45ffd0f2c844.json b/data/hfopenllm_v2/DreadPoor/Winter_Night-8B-Model_Stock/17f49724-6553-4baa-b354-45ffd0f2c844.json
new file mode 100644
index 000000000..2969a6c18
--- /dev/null
+++ b/data/hfopenllm_v2/DreadPoor/Winter_Night-8B-Model_Stock/17f49724-6553-4baa-b354-45ffd0f2c844.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/DreadPoor_Winter_Night-8B-Model_Stock/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Winter_Night-8B-Model_Stock",
+    "id": "DreadPoor/Winter_Night-8B-Model_Stock",
+    "developer": "DreadPoor",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.704
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5185
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1458
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3062
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3914
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3666
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DreadPoor/Winter_Night-8B-Model_Stock/49d98c73-75d8-4629-8cc2-a03592b0f551.json b/data/hfopenllm_v2/DreadPoor/Winter_Night-8B-Model_Stock/49d98c73-75d8-4629-8cc2-a03592b0f551.json
deleted file mode 100644
index d4f0f5cc0..000000000
--- a/data/hfopenllm_v2/DreadPoor/Winter_Night-8B-Model_Stock/49d98c73-75d8-4629-8cc2-a03592b0f551.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/DreadPoor_Winter_Night-8B-Model_Stock/1762652579.587023",
-  "retrieved_timestamp": "1762652579.587024",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "DreadPoor/Winter_Night-8B-Model_Stock",
-    "developer": "DreadPoor",
-    "inference_platform": "unknown",
-    "id": "DreadPoor/Winter_Night-8B-Model_Stock",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7040452665593957
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5184968441488284
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.14577039274924472
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3062080536912752
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3914270833333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3666057180851064
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/DreadPoor/Yafune-8B-Model_Stock/3e60d982-d7d5-432b-962e-b7734cc90534.json b/data/hfopenllm_v2/DreadPoor/Yafune-8B-Model_Stock/3e60d982-d7d5-432b-962e-b7734cc90534.json
new file mode 100644
index 000000000..25b9ce545
--- /dev/null
+++ b/data/hfopenllm_v2/DreadPoor/Yafune-8B-Model_Stock/3e60d982-d7d5-432b-962e-b7734cc90534.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/DreadPoor_Yafune-8B-Model_Stock/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Yafune-8B-Model_Stock",
+    "id": "DreadPoor/Yafune-8B-Model_Stock",
+    "developer": "DreadPoor",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7533
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5467
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1662
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3272
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4173
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3851
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DreadPoor/Yafune-8B-Model_Stock/edaf2deb-16a3-4109-84e0-e65498e09d1f.json b/data/hfopenllm_v2/DreadPoor/Yafune-8B-Model_Stock/edaf2deb-16a3-4109-84e0-e65498e09d1f.json
deleted file mode 100644
index 54210d573..000000000
--- a/data/hfopenllm_v2/DreadPoor/Yafune-8B-Model_Stock/edaf2deb-16a3-4109-84e0-e65498e09d1f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/DreadPoor_Yafune-8B-Model_Stock/1762652579.587391",
-  "retrieved_timestamp": "1762652579.587392",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "DreadPoor/Yafune-8B-Model_Stock",
-    "developer": "DreadPoor",
-    "inference_platform": "unknown",
-    "id": "DreadPoor/Yafune-8B-Model_Stock",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7533045652202822
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5466719512941253
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1661631419939577
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3271812080536913
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41728125
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.38505651595744683
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/DreadPoor/Yearn_V3-8B-Model_Stock/763eec85-4395-43b6-aa79-9ecb024eb7af.json b/data/hfopenllm_v2/DreadPoor/Yearn_V3-8B-Model_Stock/763eec85-4395-43b6-aa79-9ecb024eb7af.json
deleted file mode 100644
index a9be9144d..000000000
--- a/data/hfopenllm_v2/DreadPoor/Yearn_V3-8B-Model_Stock/763eec85-4395-43b6-aa79-9ecb024eb7af.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/DreadPoor_Yearn_V3-8B-Model_Stock/1762652579.587668",
-  "retrieved_timestamp": "1762652579.587669",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "DreadPoor/Yearn_V3-8B-Model_Stock",
-    "developer": "DreadPoor",
-    "inference_platform": "unknown",
-    "id": "DreadPoor/Yearn_V3-8B-Model_Stock",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7289746760816855
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5322019394938072
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.18957703927492447
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3053691275167785
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3908958333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3801529255319149
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/DreadPoor/Yearn_V3-8B-Model_Stock/79a0fdf3-b432-4598-be62-f9eb57fa5a43.json b/data/hfopenllm_v2/DreadPoor/Yearn_V3-8B-Model_Stock/79a0fdf3-b432-4598-be62-f9eb57fa5a43.json
new file mode 100644
index 000000000..74619217a
--- /dev/null
+++ b/data/hfopenllm_v2/DreadPoor/Yearn_V3-8B-Model_Stock/79a0fdf3-b432-4598-be62-f9eb57fa5a43.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/DreadPoor_Yearn_V3-8B-Model_Stock/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Yearn_V3-8B-Model_Stock",
+    "id": "DreadPoor/Yearn_V3-8B-Model_Stock",
+    "developer": "DreadPoor",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.729
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5322
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1896
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3054
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3909
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3802
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DreadPoor/ZEUS-8B-V17-Abliterated_ALT/538f74e4-2587-43d7-a3fb-7826f3995ad9.json b/data/hfopenllm_v2/DreadPoor/ZEUS-8B-V17-Abliterated_ALT/538f74e4-2587-43d7-a3fb-7826f3995ad9.json
deleted file mode 100644
index d67332266..000000000
--- a/data/hfopenllm_v2/DreadPoor/ZEUS-8B-V17-Abliterated_ALT/538f74e4-2587-43d7-a3fb-7826f3995ad9.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/DreadPoor_ZEUS-8B-V17-Abliterated_ALT/1762652579.587883",
-  "retrieved_timestamp": "1762652579.587884",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "DreadPoor/ZEUS-8B-V17-Abliterated_ALT",
-    "developer": "DreadPoor",
-    "inference_platform": "unknown",
-    "id": "DreadPoor/ZEUS-8B-V17-Abliterated_ALT",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5511221337163171
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5231075970343642
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1903323262839879
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30788590604026844
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41492708333333334
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3890458776595745
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/DreadPoor/ZEUS-8B-V17-Abliterated_ALT/662566e0-2af3-40d6-90de-9b361bcae355.json b/data/hfopenllm_v2/DreadPoor/ZEUS-8B-V17-Abliterated_ALT/662566e0-2af3-40d6-90de-9b361bcae355.json
new file mode 100644
index 000000000..02d4db078
--- /dev/null
+++ b/data/hfopenllm_v2/DreadPoor/ZEUS-8B-V17-Abliterated_ALT/662566e0-2af3-40d6-90de-9b361bcae355.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/DreadPoor_ZEUS-8B-V17-Abliterated_ALT/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "ZEUS-8B-V17-Abliterated_ALT",
+    "id": "DreadPoor/ZEUS-8B-V17-Abliterated_ALT",
+    "developer": "DreadPoor",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5511
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5231
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1903
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3079
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4149
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.389
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DreadPoor/Zelus-8B-Model_Stock/2a1d9c9c-b3e4-49d8-96cb-720e53184db6.json b/data/hfopenllm_v2/DreadPoor/Zelus-8B-Model_Stock/2a1d9c9c-b3e4-49d8-96cb-720e53184db6.json
deleted file mode 100644
index 635b7e91a..000000000
--- a/data/hfopenllm_v2/DreadPoor/Zelus-8B-Model_Stock/2a1d9c9c-b3e4-49d8-96cb-720e53184db6.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
-        "score": 0.38414228723404253
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/DreadPoor/Zelus-8B-Model_Stock/d81c0035-a0b1-426c-9080-8ccbf745642b.json b/data/hfopenllm_v2/DreadPoor/Zelus-8B-Model_Stock/d81c0035-a0b1-426c-9080-8ccbf745642b.json
new file mode 100644
index 000000000..03e62bfa1
--- /dev/null
+++ b/data/hfopenllm_v2/DreadPoor/Zelus-8B-Model_Stock/d81c0035-a0b1-426c-9080-8ccbf745642b.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/DreadPoor_Zelus-8B-Model_Stock/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Zelus-8B-Model_Stock",
+    "id": "DreadPoor/Zelus-8B-Model_Stock",
+    "developer": "DreadPoor",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7788
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5307
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3062
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4214
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3841
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DreadPoor/Zelus_V2-8B-Model_Stock/100bc243-158c-4e5c-918b-1439bf26fee8.json b/data/hfopenllm_v2/DreadPoor/Zelus_V2-8B-Model_Stock/100bc243-158c-4e5c-918b-1439bf26fee8.json
new file mode 100644
index 000000000..059e73847
--- /dev/null
+++ b/data/hfopenllm_v2/DreadPoor/Zelus_V2-8B-Model_Stock/100bc243-158c-4e5c-918b-1439bf26fee8.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/DreadPoor_Zelus_V2-8B-Model_Stock/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Zelus_V2-8B-Model_Stock",
+    "id": "DreadPoor/Zelus_V2-8B-Model_Stock",
+    "developer": "DreadPoor",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7898
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5345
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2054
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3096
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3961
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3833
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DreadPoor/Zelus_V2-8B-Model_Stock/b385729e-27f8-4bf2-b2c6-674504fcd75b.json b/data/hfopenllm_v2/DreadPoor/Zelus_V2-8B-Model_Stock/b385729e-27f8-4bf2-b2c6-674504fcd75b.json
deleted file mode 100644
index 9881ffb3d..000000000
--- a/data/hfopenllm_v2/DreadPoor/Zelus_V2-8B-Model_Stock/b385729e-27f8-4bf2-b2c6-674504fcd75b.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/DreadPoor_Zelus_V2-8B-Model_Stock/1762652579.588366",
-  "retrieved_timestamp": "1762652579.5883808",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "DreadPoor/Zelus_V2-8B-Model_Stock",
-    "developer": "DreadPoor",
-    "inference_platform": "unknown",
-    "id": "DreadPoor/Zelus_V2-8B-Model_Stock",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7898243327703826
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5344816839912676
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2054380664652568
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30956375838926176
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3960729166666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.38331117021276595
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/DreadPoor/felix_dies-mistral-7B-model_stock/45e32080-1464-40e0-a232-310fdda967eb.json b/data/hfopenllm_v2/DreadPoor/felix_dies-mistral-7B-model_stock/45e32080-1464-40e0-a232-310fdda967eb.json
new file mode 100644
index 000000000..c0877447b
--- /dev/null
+++ b/data/hfopenllm_v2/DreadPoor/felix_dies-mistral-7B-model_stock/45e32080-1464-40e0-a232-310fdda967eb.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/DreadPoor_felix_dies-mistral-7B-model_stock/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "felix_dies-mistral-7B-model_stock",
+    "id": "DreadPoor/felix_dies-mistral-7B-model_stock",
+    "developer": "DreadPoor",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3008
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4901
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0536
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2919
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4518
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3109
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DreadPoor/hakuchido-8B-MODEL_STOCK/a9d24835-302c-445b-b1fd-89d41e3e7878.json b/data/hfopenllm_v2/DreadPoor/hakuchido-8B-MODEL_STOCK/a9d24835-302c-445b-b1fd-89d41e3e7878.json
deleted file mode 100644
index b21d12fdf..000000000
--- a/data/hfopenllm_v2/DreadPoor/hakuchido-8B-MODEL_STOCK/a9d24835-302c-445b-b1fd-89d41e3e7878.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/DreadPoor_hakuchido-8B-MODEL_STOCK/1762652579.589018",
-  "retrieved_timestamp": "1762652579.589018",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
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diff --git a/data/hfopenllm_v2/DreadPoor/hakuchido-8B-MODEL_STOCK/e89b279f-d548-4aa8-b5e5-0bffdd98b840.json b/data/hfopenllm_v2/DreadPoor/hakuchido-8B-MODEL_STOCK/e89b279f-d548-4aa8-b5e5-0bffdd98b840.json
new file mode 100644
index 000000000..81722a6a0
--- /dev/null
+++ b/data/hfopenllm_v2/DreadPoor/hakuchido-8B-MODEL_STOCK/e89b279f-d548-4aa8-b5e5-0bffdd98b840.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/DreadPoor_hakuchido-8B-MODEL_STOCK/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "hakuchido-8B-MODEL_STOCK",
+    "id": "DreadPoor/hakuchido-8B-MODEL_STOCK",
+    "developer": "DreadPoor",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7375
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
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+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "max_score": 1.0
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+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "max_score": 1.0
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+    },
+    {
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+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4175
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3782
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DreadPoor/ichor-8B-Model_Stock/777a53f9-891c-4f9e-99a8-bb1988f61f19.json b/data/hfopenllm_v2/DreadPoor/ichor-8B-Model_Stock/777a53f9-891c-4f9e-99a8-bb1988f61f19.json
new file mode 100644
index 000000000..c35d0a556
--- /dev/null
+++ b/data/hfopenllm_v2/DreadPoor/ichor-8B-Model_Stock/777a53f9-891c-4f9e-99a8-bb1988f61f19.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/DreadPoor_ichor-8B-Model_Stock/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "ichor-8B-Model_Stock",
+    "id": "DreadPoor/ichor-8B-Model_Stock",
+    "developer": "DreadPoor",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5084
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3238
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DreadPoor/ichor-8B-Model_Stock/b1b0d419-e025-488a-a367-6769edfdf8ff.json b/data/hfopenllm_v2/DreadPoor/ichor-8B-Model_Stock/b1b0d419-e025-488a-a367-6769edfdf8ff.json
deleted file mode 100644
index fde1fad2c..000000000
--- a/data/hfopenllm_v2/DreadPoor/ichor-8B-Model_Stock/b1b0d419-e025-488a-a367-6769edfdf8ff.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/DreadPoor_ichor-8B-Model_Stock/1762652579.589237",
-  "retrieved_timestamp": "1762652579.589238",
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
-    "name": "DreadPoor/ichor-8B-Model_Stock",
-    "developer": "DreadPoor",
-    "inference_platform": "unknown",
-    "id": "DreadPoor/ichor-8B-Model_Stock",
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-  },
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-        "score_type": "continuous",
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-        "max_score": 1
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-      "score_details": {
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-    {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
-        "score": 0.31507646276595747
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-  ]
-}
diff --git a/data/hfopenllm_v2/DreadPoor/ichor_1.1-8B-Model_Stock/64afccfe-af45-4c26-878a-eb01b56f3524.json b/data/hfopenllm_v2/DreadPoor/ichor_1.1-8B-Model_Stock/64afccfe-af45-4c26-878a-eb01b56f3524.json
deleted file mode 100644
index 94aa7aabd..000000000
--- a/data/hfopenllm_v2/DreadPoor/ichor_1.1-8B-Model_Stock/64afccfe-af45-4c26-878a-eb01b56f3524.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/DreadPoor_ichor_1.1-8B-Model_Stock/1762652579.589439",
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
-    "name": "DreadPoor/ichor_1.1-8B-Model_Stock",
-    "developer": "DreadPoor",
-    "inference_platform": "unknown",
-    "id": "DreadPoor/ichor_1.1-8B-Model_Stock",
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-      "architecture": "LlamaForCausalLM",
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-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
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-        "score_type": "continuous",
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-      "score_details": {
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-    {
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-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3855551861702128
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-}
diff --git a/data/hfopenllm_v2/DreadPoor/ichor_1.1-8B-Model_Stock/f15846b1-8eaa-411b-88f7-25064161af4e.json b/data/hfopenllm_v2/DreadPoor/ichor_1.1-8B-Model_Stock/f15846b1-8eaa-411b-88f7-25064161af4e.json
new file mode 100644
index 000000000..07bce712f
--- /dev/null
+++ b/data/hfopenllm_v2/DreadPoor/ichor_1.1-8B-Model_Stock/f15846b1-8eaa-411b-88f7-25064161af4e.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/DreadPoor_ichor_1.1-8B-Model_Stock/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "ichor_1.1-8B-Model_Stock",
+    "id": "DreadPoor/ichor_1.1-8B-Model_Stock",
+    "developer": "DreadPoor",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+      "score_details": {
+        "score": 0.8096
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+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5281
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+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1775
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3062
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4068
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3856
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DreadPoor/inexpertus-8B-Model_Stock/1f0112d0-46b4-4a2c-9ccc-4872ccbae7a5.json b/data/hfopenllm_v2/DreadPoor/inexpertus-8B-Model_Stock/1f0112d0-46b4-4a2c-9ccc-4872ccbae7a5.json
deleted file mode 100644
index 5cde2a283..000000000
--- a/data/hfopenllm_v2/DreadPoor/inexpertus-8B-Model_Stock/1f0112d0-46b4-4a2c-9ccc-4872ccbae7a5.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/DreadPoor_inexpertus-8B-Model_Stock/1762652579.589726",
-  "retrieved_timestamp": "1762652579.589729",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "DreadPoor/inexpertus-8B-Model_Stock",
-    "developer": "DreadPoor",
-    "inference_platform": "unknown",
-    "id": "DreadPoor/inexpertus-8B-Model_Stock",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7795327508787795
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5280190470468065
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.17069486404833836
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30956375838926176
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41182291666666665
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3790724734042553
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/DreadPoor/inexpertus-8B-Model_Stock/e803fc85-fb98-4db8-aab0-a63100dcd5fc.json b/data/hfopenllm_v2/DreadPoor/inexpertus-8B-Model_Stock/e803fc85-fb98-4db8-aab0-a63100dcd5fc.json
new file mode 100644
index 000000000..dd5b49bf4
--- /dev/null
+++ b/data/hfopenllm_v2/DreadPoor/inexpertus-8B-Model_Stock/e803fc85-fb98-4db8-aab0-a63100dcd5fc.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/DreadPoor_inexpertus-8B-Model_Stock/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "inexpertus-8B-Model_Stock",
+    "id": "DreadPoor/inexpertus-8B-Model_Stock",
+    "developer": "DreadPoor",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7795
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.528
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1707
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3096
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4118
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3791
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DreadPoor/inexpertus_1.1-8B-LINEAR/50620749-5ecf-41eb-a131-611675560e07.json b/data/hfopenllm_v2/DreadPoor/inexpertus_1.1-8B-LINEAR/50620749-5ecf-41eb-a131-611675560e07.json
new file mode 100644
index 000000000..0f7b2d86a
--- /dev/null
+++ b/data/hfopenllm_v2/DreadPoor/inexpertus_1.1-8B-LINEAR/50620749-5ecf-41eb-a131-611675560e07.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/DreadPoor_inexpertus_1.1-8B-LINEAR/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "inexpertus_1.1-8B-LINEAR",
+    "id": "DreadPoor/inexpertus_1.1-8B-LINEAR",
+    "developer": "DreadPoor",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7527
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5525
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.173
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2978
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4173
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3827
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DreadPoor/inexpertus_1.1-8B-LINEAR/86f45b60-19d1-41fa-8538-3d22ea28a98f.json b/data/hfopenllm_v2/DreadPoor/inexpertus_1.1-8B-LINEAR/86f45b60-19d1-41fa-8538-3d22ea28a98f.json
deleted file mode 100644
index 3d4821c1a..000000000
--- a/data/hfopenllm_v2/DreadPoor/inexpertus_1.1-8B-LINEAR/86f45b60-19d1-41fa-8538-3d22ea28a98f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/DreadPoor_inexpertus_1.1-8B-LINEAR/1762652579.59006",
-  "retrieved_timestamp": "1762652579.590061",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "DreadPoor/inexpertus_1.1-8B-LINEAR",
-    "developer": "DreadPoor",
-    "inference_platform": "unknown",
-    "id": "DreadPoor/inexpertus_1.1-8B-LINEAR",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7527050448365891
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5524638802167572
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1729607250755287
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2978187919463087
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41734374999999996
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.38272938829787234
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/DreadPoor/inexpertus_1.2-8B-LINEAR/2d40a551-6440-4d71-87e4-639d486c1c5e.json b/data/hfopenllm_v2/DreadPoor/inexpertus_1.2-8B-LINEAR/2d40a551-6440-4d71-87e4-639d486c1c5e.json
new file mode 100644
index 000000000..9628c12f8
--- /dev/null
+++ b/data/hfopenllm_v2/DreadPoor/inexpertus_1.2-8B-LINEAR/2d40a551-6440-4d71-87e4-639d486c1c5e.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/DreadPoor_inexpertus_1.2-8B-LINEAR/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "inexpertus_1.2-8B-LINEAR",
+    "id": "DreadPoor/inexpertus_1.2-8B-LINEAR",
+    "developer": "DreadPoor",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7348
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5523
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1586
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2953
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4133
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3788
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DreadPoor/inexpertus_1.2-8B-LINEAR/c2465654-27c4-4cad-94fa-3b0bff1fd242.json b/data/hfopenllm_v2/DreadPoor/inexpertus_1.2-8B-LINEAR/c2465654-27c4-4cad-94fa-3b0bff1fd242.json
deleted file mode 100644
index 5752670a9..000000000
--- a/data/hfopenllm_v2/DreadPoor/inexpertus_1.2-8B-LINEAR/c2465654-27c4-4cad-94fa-3b0bff1fd242.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/DreadPoor_inexpertus_1.2-8B-LINEAR/1762652579.590318",
-  "retrieved_timestamp": "1762652579.5903192",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "DreadPoor/inexpertus_1.2-8B-LINEAR",
-    "developer": "DreadPoor",
-    "inference_platform": "unknown",
-    "id": "DreadPoor/inexpertus_1.2-8B-LINEAR",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7347947889377962
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5523440600721518
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.15861027190332325
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2953020134228188
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41334374999999995
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37882313829787234
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/DreadPoor/mergekit-nuslerp-nqzkedi/22235942-2e3e-4ef4-b7a0-5800f507571a.json b/data/hfopenllm_v2/DreadPoor/mergekit-nuslerp-nqzkedi/22235942-2e3e-4ef4-b7a0-5800f507571a.json
new file mode 100644
index 000000000..0f3089a37
--- /dev/null
+++ b/data/hfopenllm_v2/DreadPoor/mergekit-nuslerp-nqzkedi/22235942-2e3e-4ef4-b7a0-5800f507571a.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/DreadPoor_mergekit-nuslerp-nqzkedi/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "mergekit-nuslerp-nqzkedi",
+    "id": "DreadPoor/mergekit-nuslerp-nqzkedi",
+    "developer": "DreadPoor",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7765
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5362
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1881
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3012
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4225
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3919
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DreadPoor/mergekit-nuslerp-nqzkedi/c1bff8a8-6159-4fe6-a9bd-846846d0e633.json b/data/hfopenllm_v2/DreadPoor/mergekit-nuslerp-nqzkedi/c1bff8a8-6159-4fe6-a9bd-846846d0e633.json
deleted file mode 100644
index 8e62737af..000000000
--- a/data/hfopenllm_v2/DreadPoor/mergekit-nuslerp-nqzkedi/c1bff8a8-6159-4fe6-a9bd-846846d0e633.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/DreadPoor_mergekit-nuslerp-nqzkedi/1762652579.590566",
-  "retrieved_timestamp": "1762652579.590566",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "DreadPoor/mergekit-nuslerp-nqzkedi",
-    "developer": "DreadPoor",
-    "inference_platform": "unknown",
-    "id": "DreadPoor/mergekit-nuslerp-nqzkedi",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7764852812759035
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5361918366546249
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.18806646525679757
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3011744966442953
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4224583333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3918716755319149
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/DreadPoor/remember_to_breathe-8b-Model-Stock/76309e63-a135-45cf-9f06-b091215726d0.json b/data/hfopenllm_v2/DreadPoor/remember_to_breathe-8b-Model-Stock/76309e63-a135-45cf-9f06-b091215726d0.json
deleted file mode 100644
index 59c06d2ab..000000000
--- a/data/hfopenllm_v2/DreadPoor/remember_to_breathe-8b-Model-Stock/76309e63-a135-45cf-9f06-b091215726d0.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/DreadPoor_remember_to_breathe-8b-Model-Stock/1762652579.5907981",
-  "retrieved_timestamp": "1762652579.590799",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "DreadPoor/remember_to_breathe-8b-Model-Stock",
-    "developer": "DreadPoor",
-    "inference_platform": "unknown",
-    "id": "DreadPoor/remember_to_breathe-8b-Model-Stock",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7104150321147887
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5411654435599922
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1487915407854985
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3011744966442953
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4144583333333333
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37608045212765956
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/DreadPoor/remember_to_breathe-8b-Model-Stock/ac06867d-3a34-42f6-9e2e-226cf86748f6.json b/data/hfopenllm_v2/DreadPoor/remember_to_breathe-8b-Model-Stock/ac06867d-3a34-42f6-9e2e-226cf86748f6.json
new file mode 100644
index 000000000..08420f429
--- /dev/null
+++ b/data/hfopenllm_v2/DreadPoor/remember_to_breathe-8b-Model-Stock/ac06867d-3a34-42f6-9e2e-226cf86748f6.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/DreadPoor_remember_to_breathe-8b-Model-Stock/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "remember_to_breathe-8b-Model-Stock",
+    "id": "DreadPoor/remember_to_breathe-8b-Model-Stock",
+    "developer": "DreadPoor",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7104
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5412
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1488
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3012
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4145
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3761
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DreadPoor/test/394f1fc8-dc2c-4ff9-9ad0-7b3a8a8ddeb3.json b/data/hfopenllm_v2/DreadPoor/test/394f1fc8-dc2c-4ff9-9ad0-7b3a8a8ddeb3.json
new file mode 100644
index 000000000..4d6f24d90
--- /dev/null
+++ b/data/hfopenllm_v2/DreadPoor/test/394f1fc8-dc2c-4ff9-9ad0-7b3a8a8ddeb3.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/DreadPoor_test/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "test",
+    "id": "DreadPoor/test",
+    "developer": "DreadPoor",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4937
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5372
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1934
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.271
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4351
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3647
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DreadPoor/test/a4f14e1c-4c16-4fb8-9753-f05a6c5f2836.json b/data/hfopenllm_v2/DreadPoor/test/a4f14e1c-4c16-4fb8-9753-f05a6c5f2836.json
deleted file mode 100644
index 9f6fe4d9b..000000000
--- a/data/hfopenllm_v2/DreadPoor/test/a4f14e1c-4c16-4fb8-9753-f05a6c5f2836.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/DreadPoor_test/1762652579.5910451",
-  "retrieved_timestamp": "1762652579.5910459",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "DreadPoor/test",
-    "developer": "DreadPoor",
-    "inference_platform": "unknown",
-    "id": "DreadPoor/test",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.49369450834895856
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5371873804638203
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1933534743202417
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2709731543624161
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4350833333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3646941489361702
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/DreadPoor/test_ALT/03e52d4f-78d7-453c-9685-844dd1636904.json b/data/hfopenllm_v2/DreadPoor/test_ALT/03e52d4f-78d7-453c-9685-844dd1636904.json
new file mode 100644
index 000000000..14344c072
--- /dev/null
+++ b/data/hfopenllm_v2/DreadPoor/test_ALT/03e52d4f-78d7-453c-9685-844dd1636904.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/DreadPoor_test_ALT/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "test_ALT",
+    "id": "DreadPoor/test_ALT",
+    "developer": "DreadPoor",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4997
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.537
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1707
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2693
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4363
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3492
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DreadPoor/test_ALT/1ca8f31a-4df9-4eb5-8ded-506d80246cdd.json b/data/hfopenllm_v2/DreadPoor/test_ALT/1ca8f31a-4df9-4eb5-8ded-506d80246cdd.json
deleted file mode 100644
index a1e300847..000000000
--- a/data/hfopenllm_v2/DreadPoor/test_ALT/1ca8f31a-4df9-4eb5-8ded-506d80246cdd.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/DreadPoor_test_ALT/1762652579.591327",
-  "retrieved_timestamp": "1762652579.591328",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "DreadPoor/test_ALT",
-    "developer": "DreadPoor",
-    "inference_platform": "unknown",
-    "id": "DreadPoor/test_ALT",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.499689712185889
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5370433315307738
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.17069486404833836
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.26929530201342283
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4362916666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3492353723404255
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/DreadPoor/tests_pending-do_not_use_yet/3ce136d5-be81-4b8c-a7dc-4e1346935d35.json b/data/hfopenllm_v2/DreadPoor/tests_pending-do_not_use_yet/3ce136d5-be81-4b8c-a7dc-4e1346935d35.json
new file mode 100644
index 000000000..e83a16a2c
--- /dev/null
+++ b/data/hfopenllm_v2/DreadPoor/tests_pending-do_not_use_yet/3ce136d5-be81-4b8c-a7dc-4e1346935d35.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/DreadPoor_tests_pending-do_not_use_yet/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "tests_pending-do_not_use_yet",
+    "id": "DreadPoor/tests_pending-do_not_use_yet",
+    "developer": "DreadPoor",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7691
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5408
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1979
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.297
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4005
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3827
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/DreadPoor/tests_pending-do_not_use_yet/de113d87-7875-4f5c-89eb-48a59797b19b.json b/data/hfopenllm_v2/DreadPoor/tests_pending-do_not_use_yet/de113d87-7875-4f5c-89eb-48a59797b19b.json
deleted file mode 100644
index b5d04c90c..000000000
--- a/data/hfopenllm_v2/DreadPoor/tests_pending-do_not_use_yet/de113d87-7875-4f5c-89eb-48a59797b19b.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/DreadPoor_tests_pending-do_not_use_yet/1762652579.591608",
-  "retrieved_timestamp": "1762652579.591609",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
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-    "developer": "DreadPoor",
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-    "id": "DreadPoor/tests_pending-do_not_use_yet",
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-      "evaluation_name": "IFEval",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-    }
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-}
diff --git a/data/hfopenllm_v2/ECE-ILAB-PRYMMAL/ILAB-Merging-3B-V2/cbdf2130-1b6a-43ae-a503-4fc7acf14a76.json b/data/hfopenllm_v2/ECE-ILAB-PRYMMAL/ILAB-Merging-3B-V2/cbdf2130-1b6a-43ae-a503-4fc7acf14a76.json
deleted file mode 100644
index da2e0ccf9..000000000
--- a/data/hfopenllm_v2/ECE-ILAB-PRYMMAL/ILAB-Merging-3B-V2/cbdf2130-1b6a-43ae-a503-4fc7acf14a76.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "retrieved_timestamp": "1762652579.591836",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "ECE-ILAB-PRYMMAL/ILAB-Merging-3B-V2",
-    "developer": "ECE-ILAB-PRYMMAL",
-    "inference_platform": "unknown",
-    "id": "ECE-ILAB-PRYMMAL/ILAB-Merging-3B-V2",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Phi3ForCausalLM",
-      "params_billions": 3.821
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.40289432040319684
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5401935891431586
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3053691275167785
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.43321875
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-        "score": 0.38605385638297873
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/ECE-ILAB-PRYMMAL/ILAB-Merging-3B-V2/fb35accf-0c5d-4f72-8d73-ba366a41a76d.json b/data/hfopenllm_v2/ECE-ILAB-PRYMMAL/ILAB-Merging-3B-V2/fb35accf-0c5d-4f72-8d73-ba366a41a76d.json
new file mode 100644
index 000000000..2a680a23b
--- /dev/null
+++ b/data/hfopenllm_v2/ECE-ILAB-PRYMMAL/ILAB-Merging-3B-V2/fb35accf-0c5d-4f72-8d73-ba366a41a76d.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/ECE-ILAB-PRYMMAL_ILAB-Merging-3B-V2/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "ILAB-Merging-3B-V2",
+    "id": "ECE-ILAB-PRYMMAL/ILAB-Merging-3B-V2",
+    "developer": "ECE-ILAB-PRYMMAL",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Phi3ForCausalLM",
+      "params_billions": 3.821
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4029
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5402
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1518
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3054
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4332
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3861
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/EVA-UNIT-01/EVA-Qwen2.5-14B-v0.2/75e5ca5d-cce1-4463-b398-553399ce6833.json b/data/hfopenllm_v2/EVA-UNIT-01/EVA-Qwen2.5-14B-v0.2/75e5ca5d-cce1-4463-b398-553399ce6833.json
new file mode 100644
index 000000000..12b4347c9
--- /dev/null
+++ b/data/hfopenllm_v2/EVA-UNIT-01/EVA-Qwen2.5-14B-v0.2/75e5ca5d-cce1-4463-b398-553399ce6833.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/EVA-UNIT-01_EVA-Qwen2.5-14B-v0.2/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "EVA-Qwen2.5-14B-v0.2",
+    "id": "EVA-UNIT-01/EVA-Qwen2.5-14B-v0.2",
+    "developer": "EVA-UNIT-01",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.77
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4038
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.609
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3406
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3943
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4794
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5135
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/EVA-UNIT-01/EVA-Qwen2.5-72B-v0.2/c426bae7-b98d-4343-b419-ac8206196a95.json b/data/hfopenllm_v2/EVA-UNIT-01/EVA-Qwen2.5-72B-v0.2/c426bae7-b98d-4343-b419-ac8206196a95.json
new file mode 100644
index 000000000..557addc60
--- /dev/null
+++ b/data/hfopenllm_v2/EVA-UNIT-01/EVA-Qwen2.5-72B-v0.2/c426bae7-b98d-4343-b419-ac8206196a95.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/EVA-UNIT-01_EVA-Qwen2.5-72B-v0.2/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "EVA-Qwen2.5-72B-v0.2",
+    "id": "EVA-UNIT-01/EVA-Qwen2.5-72B-v0.2",
+    "developer": "EVA-UNIT-01",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 72.706
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6879
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7088
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4313
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4086
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.472
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5813
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Edgerunners/meta-llama-3-8b-instruct-hf-ortho-baukit-34fail-3000total-bf16/1e2cd0e7-ce74-4eac-86fb-64412d1d2094.json b/data/hfopenllm_v2/Edgerunners/meta-llama-3-8b-instruct-hf-ortho-baukit-34fail-3000total-bf16/1e2cd0e7-ce74-4eac-86fb-64412d1d2094.json
deleted file mode 100644
index 93ac36ccd..000000000
--- a/data/hfopenllm_v2/Edgerunners/meta-llama-3-8b-instruct-hf-ortho-baukit-34fail-3000total-bf16/1e2cd0e7-ce74-4eac-86fb-64412d1d2094.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Edgerunners_meta-llama-3-8b-instruct-hf-ortho-baukit-34fail-3000total-bf16/1762652579.592541",
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new file mode 100644
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new file mode 100644
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new file mode 100644
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/EleutherAI/gpt-neo-2.7B/4b87eea2-169c-411e-9d15-caf6b7826590.json b/data/hfopenllm_v2/EleutherAI/gpt-neo-2.7B/4b87eea2-169c-411e-9d15-caf6b7826590.json
new file mode 100644
index 000000000..409e0b82a
--- /dev/null
+++ b/data/hfopenllm_v2/EleutherAI/gpt-neo-2.7B/4b87eea2-169c-411e-9d15-caf6b7826590.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/EleutherAI_gpt-neo-2.7B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "gpt-neo-2.7B",
+    "id": "EleutherAI/gpt-neo-2.7B",
+    "developer": "EleutherAI",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "GPTNeoForCausalLM",
+      "params_billions": 2.718
+    }
+  },
+  "evaluation_results": [
+    {
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+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.259
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.314
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0106
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2659
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3554
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1163
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/EleutherAI/gpt-neox-20b/62a3cce2-4ff5-4dc9-beab-a06001fd82d9.json b/data/hfopenllm_v2/EleutherAI/gpt-neox-20b/62a3cce2-4ff5-4dc9-beab-a06001fd82d9.json
new file mode 100644
index 000000000..8d26f484b
--- /dev/null
+++ b/data/hfopenllm_v2/EleutherAI/gpt-neox-20b/62a3cce2-4ff5-4dc9-beab-a06001fd82d9.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/EleutherAI_gpt-neox-20b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "gpt-neox-20b",
+    "id": "EleutherAI/gpt-neox-20b",
+    "developer": "EleutherAI",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "GPTNeoXForCausalLM",
+      "params_billions": 20.739
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2587
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3165
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0136
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2433
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3647
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1155
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/EleutherAI/pythia-1.4b/0e5961e1-af27-4eee-8b9b-c82ee4ab61b1.json b/data/hfopenllm_v2/EleutherAI/pythia-1.4b/0e5961e1-af27-4eee-8b9b-c82ee4ab61b1.json
new file mode 100644
index 000000000..0e25cd321
--- /dev/null
+++ b/data/hfopenllm_v2/EleutherAI/pythia-1.4b/0e5961e1-af27-4eee-8b9b-c82ee4ab61b1.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/EleutherAI_pythia-1.4b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "pythia-1.4b",
+    "id": "EleutherAI/pythia-1.4b",
+    "developer": "EleutherAI",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "GPTNeoXForCausalLM",
+      "params_billions": 1.515
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2371
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.315
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0151
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2617
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3538
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1123
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/EleutherAI/pythia-1.4b/e268be37-589d-41f2-af98-a85bb412eb44.json b/data/hfopenllm_v2/EleutherAI/pythia-1.4b/e268be37-589d-41f2-af98-a85bb412eb44.json
deleted file mode 100644
index 4a24b9e40..000000000
--- a/data/hfopenllm_v2/EleutherAI/pythia-1.4b/e268be37-589d-41f2-af98-a85bb412eb44.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/EleutherAI_pythia-1.4b/1762652579.593903",
-  "retrieved_timestamp": "1762652579.593904",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "EleutherAI/pythia-1.4b",
-    "developer": "EleutherAI",
-    "inference_platform": "unknown",
-    "id": "EleutherAI/pythia-1.4b",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "GPTNeoXForCausalLM",
-      "params_billions": 1.515
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.23708094522533543
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.315042649740714
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
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-        "max_score": 1
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.35378125
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11228390957446809
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-  ]
-}
diff --git a/data/hfopenllm_v2/EleutherAI/pythia-12b/4df16bb2-996f-473f-9096-a8a8e152ca9b.json b/data/hfopenllm_v2/EleutherAI/pythia-12b/4df16bb2-996f-473f-9096-a8a8e152ca9b.json
deleted file mode 100644
index 3864c5b6c..000000000
--- a/data/hfopenllm_v2/EleutherAI/pythia-12b/4df16bb2-996f-473f-9096-a8a8e152ca9b.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/EleutherAI_pythia-12b/1762652579.5942001",
-  "retrieved_timestamp": "1762652579.594201",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
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-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "EleutherAI/pythia-12b",
-    "developer": "EleutherAI",
-    "inference_platform": "unknown",
-    "id": "EleutherAI/pythia-12b",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "GPTNeoXForCausalLM",
-      "params_billions": 12.0
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-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-    },
-    {
-      "evaluation_name": "BBH",
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-        "score_type": "continuous",
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-    {
-      "evaluation_name": "GPQA",
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-    {
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-        "max_score": 1
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-      "score_details": {
-        "score": 0.3646979166666667
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-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
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-        "max_score": 1
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-      "score_details": {
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-}
diff --git a/data/hfopenllm_v2/EleutherAI/pythia-12b/b62352d4-e3b0-4b4d-8d68-e2d973d820c1.json b/data/hfopenllm_v2/EleutherAI/pythia-12b/b62352d4-e3b0-4b4d-8d68-e2d973d820c1.json
new file mode 100644
index 000000000..c70b94beb
--- /dev/null
+++ b/data/hfopenllm_v2/EleutherAI/pythia-12b/b62352d4-e3b0-4b4d-8d68-e2d973d820c1.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/EleutherAI_pythia-12b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "pythia-12b",
+    "id": "EleutherAI/pythia-12b",
+    "developer": "EleutherAI",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "GPTNeoXForCausalLM",
+      "params_billions": 12.0
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2471
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.318
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0166
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2466
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3647
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1109
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/EleutherAI/pythia-160m/7fadc486-767e-45ef-979d-74ecb858cb99.json b/data/hfopenllm_v2/EleutherAI/pythia-160m/7fadc486-767e-45ef-979d-74ecb858cb99.json
new file mode 100644
index 000000000..fc912f961
--- /dev/null
+++ b/data/hfopenllm_v2/EleutherAI/pythia-160m/7fadc486-767e-45ef-979d-74ecb858cb99.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/EleutherAI_pythia-160m/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "pythia-160m",
+    "id": "EleutherAI/pythia-160m",
+    "developer": "EleutherAI",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "GPTNeoXForCausalLM",
+      "params_billions": 0.213
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1816
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.297
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0091
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2584
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4179
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.112
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/EleutherAI/pythia-160m/d59ad4b0-e58e-48d6-90eb-93398c46251a.json b/data/hfopenllm_v2/EleutherAI/pythia-160m/d59ad4b0-e58e-48d6-90eb-93398c46251a.json
deleted file mode 100644
index dbf025ed1..000000000
--- a/data/hfopenllm_v2/EleutherAI/pythia-160m/d59ad4b0-e58e-48d6-90eb-93398c46251a.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/EleutherAI_pythia-160m/1762652579.5944068",
-  "retrieved_timestamp": "1762652579.594408",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "EleutherAI/pythia-160m",
-    "developer": "EleutherAI",
-    "inference_platform": "unknown",
-    "id": "EleutherAI/pythia-160m",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "GPTNeoXForCausalLM",
-      "params_billions": 0.213
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.18155161637787737
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2970437484241321
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.00906344410876133
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.25838926174496646
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4179375
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11195146276595745
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/EleutherAI/pythia-1b/a21cc55c-e9df-46ef-beed-b67a1750ddb7.json b/data/hfopenllm_v2/EleutherAI/pythia-1b/a21cc55c-e9df-46ef-beed-b67a1750ddb7.json
deleted file mode 100644
index 145faf327..000000000
--- a/data/hfopenllm_v2/EleutherAI/pythia-1b/a21cc55c-e9df-46ef-beed-b67a1750ddb7.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/EleutherAI_pythia-1b/1762652579.594618",
-  "retrieved_timestamp": "1762652579.594618",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "EleutherAI/pythia-1b",
-    "developer": "EleutherAI",
-    "inference_platform": "unknown",
-    "id": "EleutherAI/pythia-1b",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "GPTNeoXForCausalLM",
-      "params_billions": 1.079
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2207941594968018
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3004093017564394
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.00906344410876133
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.25671140939597314
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.35520833333333335
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11361369680851063
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/EleutherAI/pythia-1b/d0628e6f-a6f3-42eb-b9fc-e880ae8c0688.json b/data/hfopenllm_v2/EleutherAI/pythia-1b/d0628e6f-a6f3-42eb-b9fc-e880ae8c0688.json
new file mode 100644
index 000000000..daea284b8
--- /dev/null
+++ b/data/hfopenllm_v2/EleutherAI/pythia-1b/d0628e6f-a6f3-42eb-b9fc-e880ae8c0688.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/EleutherAI_pythia-1b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "pythia-1b",
+    "id": "EleutherAI/pythia-1b",
+    "developer": "EleutherAI",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "GPTNeoXForCausalLM",
+      "params_billions": 1.079
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2208
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3004
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0091
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2567
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3552
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1136
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/EleutherAI/pythia-2.8b/0999a066-1151-4445-b130-00d8fe4a516e.json b/data/hfopenllm_v2/EleutherAI/pythia-2.8b/0999a066-1151-4445-b130-00d8fe4a516e.json
new file mode 100644
index 000000000..7e836076c
--- /dev/null
+++ b/data/hfopenllm_v2/EleutherAI/pythia-2.8b/0999a066-1151-4445-b130-00d8fe4a516e.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/EleutherAI_pythia-2.8b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "pythia-2.8b",
+    "id": "EleutherAI/pythia-2.8b",
+    "developer": "EleutherAI",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "GPTNeoXForCausalLM",
+      "params_billions": 2.909
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2173
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3224
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0136
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.25
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3486
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1137
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/EleutherAI/pythia-2.8b/0afcbde6-b822-4264-8733-bc255ea73314.json b/data/hfopenllm_v2/EleutherAI/pythia-2.8b/0afcbde6-b822-4264-8733-bc255ea73314.json
deleted file mode 100644
index e1cfcd562..000000000
--- a/data/hfopenllm_v2/EleutherAI/pythia-2.8b/0afcbde6-b822-4264-8733-bc255ea73314.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/EleutherAI_pythia-2.8b/1762652579.594833",
-  "retrieved_timestamp": "1762652579.5948339",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "EleutherAI/pythia-2.8b",
-    "developer": "EleutherAI",
-    "inference_platform": "unknown",
-    "id": "EleutherAI/pythia-2.8b",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "GPTNeoXForCausalLM",
-      "params_billions": 2.909
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.21732226049105263
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3224085936276087
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.013595166163141994
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.25
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3485729166666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11369680851063829
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/EleutherAI/pythia-410m/1efc09d8-6a5c-4d48-b76e-2e04ef97b676.json b/data/hfopenllm_v2/EleutherAI/pythia-410m/1efc09d8-6a5c-4d48-b76e-2e04ef97b676.json
new file mode 100644
index 000000000..070f7c573
--- /dev/null
+++ b/data/hfopenllm_v2/EleutherAI/pythia-410m/1efc09d8-6a5c-4d48-b76e-2e04ef97b676.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/EleutherAI_pythia-410m/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "pythia-410m",
+    "id": "EleutherAI/pythia-410m",
+    "developer": "EleutherAI",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "GPTNeoXForCausalLM",
+      "params_billions": 0.506
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2195
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3028
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0098
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2592
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3578
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1128
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/EleutherAI/pythia-410m/c9db5f06-9aac-4678-bfe0-65773ece4558.json b/data/hfopenllm_v2/EleutherAI/pythia-410m/c9db5f06-9aac-4678-bfe0-65773ece4558.json
deleted file mode 100644
index 47d4b368c..000000000
--- a/data/hfopenllm_v2/EleutherAI/pythia-410m/c9db5f06-9aac-4678-bfe0-65773ece4558.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/EleutherAI_pythia-410m/1762652579.5950441",
-  "retrieved_timestamp": "1762652579.595045",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "EleutherAI/pythia-410m",
-    "developer": "EleutherAI",
-    "inference_platform": "unknown",
-    "id": "EleutherAI/pythia-410m",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "GPTNeoXForCausalLM",
-      "params_billions": 0.506
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.21954525104500505
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.302813387064426
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.009818731117824773
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.25922818791946306
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.35781250000000003
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11278257978723404
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/EleutherAI/pythia-6.9b/1a59412f-fe78-4ecf-8951-8f2996dd374f.json b/data/hfopenllm_v2/EleutherAI/pythia-6.9b/1a59412f-fe78-4ecf-8951-8f2996dd374f.json
new file mode 100644
index 000000000..6f0eb37e2
--- /dev/null
+++ b/data/hfopenllm_v2/EleutherAI/pythia-6.9b/1a59412f-fe78-4ecf-8951-8f2996dd374f.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/EleutherAI_pythia-6.9b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "pythia-6.9b",
+    "id": "EleutherAI/pythia-6.9b",
+    "developer": "EleutherAI",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "GPTNeoXForCausalLM",
+      "params_billions": 6.9
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2281
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3232
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0144
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2517
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3591
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1147
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/EleutherAI/pythia-6.9b/6ae207e3-2596-4b28-b058-d47d07465192.json b/data/hfopenllm_v2/EleutherAI/pythia-6.9b/6ae207e3-2596-4b28-b058-d47d07465192.json
deleted file mode 100644
index d5ede0110..000000000
--- a/data/hfopenllm_v2/EleutherAI/pythia-6.9b/6ae207e3-2596-4b28-b058-d47d07465192.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/EleutherAI_pythia-6.9b/1762652579.595358",
-  "retrieved_timestamp": "1762652579.595359",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "EleutherAI/pythia-6.9b",
-    "developer": "EleutherAI",
-    "inference_platform": "unknown",
-    "id": "EleutherAI/pythia-6.9b",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "GPTNeoXForCausalLM",
-      "params_billions": 6.9
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.22811362739752744
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3232287869322383
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.014350453172205438
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2516778523489933
-      }
-    },
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new file mode 100644
index 000000000..43c0cbc2f
--- /dev/null
+++ b/data/hfopenllm_v2/Enno-Ai/EnnoAi-Pro-French-Llama-3-8B-v0.4/b5403311-2069-488d-af98-27da14496c15.json
@@ -0,0 +1,132 @@
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diff --git a/data/hfopenllm_v2/Enno-Ai/EnnoAi-Pro-Llama-3-8B-v0.3/6c10c176-b2b6-4216-91c0-1444944612f7.json b/data/hfopenllm_v2/Enno-Ai/EnnoAi-Pro-Llama-3-8B-v0.3/6c10c176-b2b6-4216-91c0-1444944612f7.json
new file mode 100644
index 000000000..3c0a9c0a6
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diff --git a/data/hfopenllm_v2/Enno-Ai/EnnoAi-Pro-Llama-3-8B/80ebd92e-d9b6-46ce-b77e-973c3f3f6051.json b/data/hfopenllm_v2/Enno-Ai/EnnoAi-Pro-Llama-3-8B/80ebd92e-d9b6-46ce-b77e-973c3f3f6051.json
new file mode 100644
index 000000000..ae3f57ad1
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/Enno-Ai/EnnoAi-Pro-Llama-3.1-8B-v0.9/0418e36f-17ea-46a2-bfeb-91cc0ff719bf.json b/data/hfopenllm_v2/Enno-Ai/EnnoAi-Pro-Llama-3.1-8B-v0.9/0418e36f-17ea-46a2-bfeb-91cc0ff719bf.json
new file mode 100644
index 000000000..145d529e4
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/EnnoAi/EnnoAi-7B-French-Instruct-202502/4f5ba3fc-694a-45b1-ae9d-2c7d33e41519.json b/data/hfopenllm_v2/EnnoAi/EnnoAi-7B-French-Instruct-202502/4f5ba3fc-694a-45b1-ae9d-2c7d33e41519.json
new file mode 100644
index 000000000..28ac26d3c
--- /dev/null
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@@ -0,0 +1,132 @@
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5575
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3724
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2953
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.46
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4013
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/EnnoAi/EnnoAi-7B-French-Instruct-202502/75939d35-c0ca-4256-b667-fe6042ca5979.json b/data/hfopenllm_v2/EnnoAi/EnnoAi-7B-French-Instruct-202502/75939d35-c0ca-4256-b667-fe6042ca5979.json
deleted file mode 100644
index b1fb54519..000000000
--- a/data/hfopenllm_v2/EnnoAi/EnnoAi-7B-French-Instruct-202502/75939d35-c0ca-4256-b667-fe6042ca5979.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/EnnoAi_EnnoAi-7B-French-Instruct-202502/1762652579.596549",
-  "retrieved_timestamp": "1762652579.59655",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "EnnoAi/EnnoAi-7B-French-Instruct-202502",
-    "developer": "EnnoAi",
-    "inference_platform": "unknown",
-    "id": "EnnoAi/EnnoAi-7B-French-Instruct-202502",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 7.456
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5564424615575562
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5574545199388612
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3723564954682779
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2953020134228188
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.45997916666666666
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4013464095744681
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/EnnoAi/EnnoAi-Pro-Llama-3.1-8B-v1.0/8b0d1556-bbd5-49e3-b881-32224bc1aa9a.json b/data/hfopenllm_v2/EnnoAi/EnnoAi-Pro-Llama-3.1-8B-v1.0/8b0d1556-bbd5-49e3-b881-32224bc1aa9a.json
new file mode 100644
index 000000000..610b4bd7f
--- /dev/null
+++ b/data/hfopenllm_v2/EnnoAi/EnnoAi-Pro-Llama-3.1-8B-v1.0/8b0d1556-bbd5-49e3-b881-32224bc1aa9a.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/EnnoAi_EnnoAi-Pro-Llama-3.1-8B-v1.0/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "EnnoAi-Pro-Llama-3.1-8B-v1.0",
+    "id": "EnnoAi/EnnoAi-Pro-Llama-3.1-8B-v1.0",
+    "developer": "EnnoAi",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4704
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.416
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0378
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2659
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3832
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2596
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Epiculous/Azure_Dusk-v0.2/524e634f-280c-4f3a-9f1f-bdda19fad740.json b/data/hfopenllm_v2/Epiculous/Azure_Dusk-v0.2/524e634f-280c-4f3a-9f1f-bdda19fad740.json
new file mode 100644
index 000000000..db3809f7b
--- /dev/null
+++ b/data/hfopenllm_v2/Epiculous/Azure_Dusk-v0.2/524e634f-280c-4f3a-9f1f-bdda19fad740.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Epiculous_Azure_Dusk-v0.2/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Azure_Dusk-v0.2",
+    "id": "Epiculous/Azure_Dusk-v0.2",
+    "developer": "Epiculous",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 12.248
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3467
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.412
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0295
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2609
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3835
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3034
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Epiculous/Azure_Dusk-v0.2/79790560-846a-48fb-b37a-462162eb0e97.json b/data/hfopenllm_v2/Epiculous/Azure_Dusk-v0.2/79790560-846a-48fb-b37a-462162eb0e97.json
deleted file mode 100644
index 0cd5e77a2..000000000
--- a/data/hfopenllm_v2/Epiculous/Azure_Dusk-v0.2/79790560-846a-48fb-b37a-462162eb0e97.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Epiculous_Azure_Dusk-v0.2/1762652579.5970619",
-  "retrieved_timestamp": "1762652579.5970628",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Epiculous/Azure_Dusk-v0.2",
-    "developer": "Epiculous",
-    "inference_platform": "unknown",
-    "id": "Epiculous/Azure_Dusk-v0.2",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 12.248
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.346715603487635
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4119721873553597
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.02945619335347432
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2609060402684564
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3834583333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3034408244680851
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Epiculous/Crimson_Dawn-v0.2/91b7917e-a908-4281-9a4d-a2c1e7558105.json b/data/hfopenllm_v2/Epiculous/Crimson_Dawn-v0.2/91b7917e-a908-4281-9a4d-a2c1e7558105.json
deleted file mode 100644
index 8d2f56136..000000000
--- a/data/hfopenllm_v2/Epiculous/Crimson_Dawn-v0.2/91b7917e-a908-4281-9a4d-a2c1e7558105.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Epiculous_Crimson_Dawn-v0.2/1762652579.5973198",
-  "retrieved_timestamp": "1762652579.5973198",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Epiculous/Crimson_Dawn-v0.2",
-    "developer": "Epiculous",
-    "inference_platform": "unknown",
-    "id": "Epiculous/Crimson_Dawn-v0.2",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 12.248
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3103454389907667
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.44823796489645434
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
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-        "max_score": 1
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-      "score_details": {
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-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
-        "score": 0.4151770833333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-}
diff --git a/data/hfopenllm_v2/Epiculous/Crimson_Dawn-v0.2/cb82e92b-f207-4fbd-9bfe-43184769cdbd.json b/data/hfopenllm_v2/Epiculous/Crimson_Dawn-v0.2/cb82e92b-f207-4fbd-9bfe-43184769cdbd.json
new file mode 100644
index 000000000..0f0cfc70f
--- /dev/null
+++ b/data/hfopenllm_v2/Epiculous/Crimson_Dawn-v0.2/cb82e92b-f207-4fbd-9bfe-43184769cdbd.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Epiculous_Crimson_Dawn-v0.2/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Crimson_Dawn-v0.2",
+    "id": "Epiculous/Crimson_Dawn-v0.2",
+    "developer": "Epiculous",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 12.248
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3103
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4482
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0431
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.276
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4152
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2721
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Epiculous/NovaSpark/0b674103-4e55-41f4-accb-b7be73671801.json b/data/hfopenllm_v2/Epiculous/NovaSpark/0b674103-4e55-41f4-accb-b7be73671801.json
new file mode 100644
index 000000000..74391a8d3
--- /dev/null
+++ b/data/hfopenllm_v2/Epiculous/NovaSpark/0b674103-4e55-41f4-accb-b7be73671801.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Epiculous_NovaSpark/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "NovaSpark",
+    "id": "Epiculous/NovaSpark",
+    "developer": "Epiculous",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6408
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5064
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1518
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2978
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3882
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3649
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Epiculous/NovaSpark/9270e697-84b1-46c5-afcc-481065f2be8f.json b/data/hfopenllm_v2/Epiculous/NovaSpark/9270e697-84b1-46c5-afcc-481065f2be8f.json
deleted file mode 100644
index 1c42a82c4..000000000
--- a/data/hfopenllm_v2/Epiculous/NovaSpark/9270e697-84b1-46c5-afcc-481065f2be8f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Epiculous_NovaSpark/1762652579.597535",
-  "retrieved_timestamp": "1762652579.597536",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Epiculous/NovaSpark",
-    "developer": "Epiculous",
-    "inference_platform": "unknown",
-    "id": "Epiculous/NovaSpark",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6408473960203371
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5063958663768304
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.15181268882175228
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2978187919463087
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3881979166666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3648603723404255
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Epiculous/Violet_Twilight-v0.2/83990950-a34c-463f-9a1a-d9371910da6f.json b/data/hfopenllm_v2/Epiculous/Violet_Twilight-v0.2/83990950-a34c-463f-9a1a-d9371910da6f.json
deleted file mode 100644
index 80d963b22..000000000
--- a/data/hfopenllm_v2/Epiculous/Violet_Twilight-v0.2/83990950-a34c-463f-9a1a-d9371910da6f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Epiculous_Violet_Twilight-v0.2/1762652579.597749",
-  "retrieved_timestamp": "1762652579.59775",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Epiculous/Violet_Twilight-v0.2",
-    "developer": "Epiculous",
-    "inference_platform": "unknown",
-    "id": "Epiculous/Violet_Twilight-v0.2",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 12.248
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.45317756885064964
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4614552476845888
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.02870090634441088
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.26593959731543626
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42993750000000003
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3110871010638298
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Epiculous/Violet_Twilight-v0.2/fa0290e0-723f-4502-90b6-c77007fffc1f.json b/data/hfopenllm_v2/Epiculous/Violet_Twilight-v0.2/fa0290e0-723f-4502-90b6-c77007fffc1f.json
new file mode 100644
index 000000000..c08d3f9d1
--- /dev/null
+++ b/data/hfopenllm_v2/Epiculous/Violet_Twilight-v0.2/fa0290e0-723f-4502-90b6-c77007fffc1f.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Epiculous_Violet_Twilight-v0.2/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Violet_Twilight-v0.2",
+    "id": "Epiculous/Violet_Twilight-v0.2",
+    "developer": "Epiculous",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 12.248
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4532
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4615
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0287
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2659
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4299
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/EpistemeAI/Alpaca-Llama3.1-8B/c3827ecd-d02a-4464-a098-110f4fb54516.json b/data/hfopenllm_v2/EpistemeAI/Alpaca-Llama3.1-8B/c3827ecd-d02a-4464-a098-110f4fb54516.json
new file mode 100644
index 000000000..5e88a9d80
--- /dev/null
+++ b/data/hfopenllm_v2/EpistemeAI/Alpaca-Llama3.1-8B/c3827ecd-d02a-4464-a098-110f4fb54516.json
@@ -0,0 +1,132 @@
+{
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+  "source_metadata": {
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+    "source_type": "documentation",
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+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Alpaca-Llama3.1-8B",
+    "id": "EpistemeAI/Alpaca-Llama3.1-8B",
+    "developer": "EpistemeAI",
+    "inference_platform": "unknown",
+    "additional_details": {
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+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.0
+    }
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+      "source_data": {
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+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "max_score": 1.0
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+    {
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+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
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+        "max_score": 1.0
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
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+        "score": 0.3246
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/EpistemeAI/Athena-gemma-2-2b-it-Philos/af9700fe-20c0-4b7c-9f3a-c4d78fab7911.json b/data/hfopenllm_v2/EpistemeAI/Athena-gemma-2-2b-it-Philos/af9700fe-20c0-4b7c-9f3a-c4d78fab7911.json
new file mode 100644
index 000000000..109e4335c
--- /dev/null
+++ b/data/hfopenllm_v2/EpistemeAI/Athena-gemma-2-2b-it-Philos/af9700fe-20c0-4b7c-9f3a-c4d78fab7911.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/EpistemeAI_Athena-gemma-2-2b-it-Philos/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Athena-gemma-2-2b-it-Philos",
+    "id": "EpistemeAI/Athena-gemma-2-2b-it-Philos",
+    "developer": "EpistemeAI",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Gemma2ForCausalLM",
+      "params_billions": 2.0
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4621
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3795
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
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+      }
+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+    },
+    {
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+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "max_score": 1.0
+      },
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+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/EpistemeAI/Athena-gemma-2-2b-it/959a4e4d-211c-4e45-94f1-f8f877e0b36f.json b/data/hfopenllm_v2/EpistemeAI/Athena-gemma-2-2b-it/959a4e4d-211c-4e45-94f1-f8f877e0b36f.json
new file mode 100644
index 000000000..6c1214fb7
--- /dev/null
+++ b/data/hfopenllm_v2/EpistemeAI/Athena-gemma-2-2b-it/959a4e4d-211c-4e45-94f1-f8f877e0b36f.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/EpistemeAI_Athena-gemma-2-2b-it/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Athena-gemma-2-2b-it",
+    "id": "EpistemeAI/Athena-gemma-2-2b-it",
+    "developer": "EpistemeAI",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Gemma2ForCausalLM",
+      "params_billions": 2.0
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3134
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4264
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4351
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "max_score": 1.0
+      },
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+        "score": 0.2422
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/EpistemeAI/Athene-codegemma-2-7b-it-alpaca-v1.3/96a8b3c0-d6bc-41fe-8967-0d798669aa8e.json b/data/hfopenllm_v2/EpistemeAI/Athene-codegemma-2-7b-it-alpaca-v1.3/96a8b3c0-d6bc-41fe-8967-0d798669aa8e.json
new file mode 100644
index 000000000..18bd5723e
--- /dev/null
+++ b/data/hfopenllm_v2/EpistemeAI/Athene-codegemma-2-7b-it-alpaca-v1.3/96a8b3c0-d6bc-41fe-8967-0d798669aa8e.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/EpistemeAI_Athene-codegemma-2-7b-it-alpaca-v1.3/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Athene-codegemma-2-7b-it-alpaca-v1.3",
+    "id": "EpistemeAI/Athene-codegemma-2-7b-it-alpaca-v1.3",
+    "developer": "EpistemeAI",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "GemmaForCausalLM",
+      "params_billions": 7.0
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.403
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4332
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0619
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2802
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2587
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/EpistemeAI/DeepPhi-3.5-mini-instruct/b367fb18-f302-41ec-a5f9-7d47766ca6f3.json b/data/hfopenllm_v2/EpistemeAI/DeepPhi-3.5-mini-instruct/b367fb18-f302-41ec-a5f9-7d47766ca6f3.json
deleted file mode 100644
index 18f2886f5..000000000
--- a/data/hfopenllm_v2/EpistemeAI/DeepPhi-3.5-mini-instruct/b367fb18-f302-41ec-a5f9-7d47766ca6f3.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/EpistemeAI_DeepPhi-3.5-mini-instruct/1762652579.5991712",
-  "retrieved_timestamp": "1762652579.599172",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "EpistemeAI/DeepPhi-3.5-mini-instruct",
-    "developer": "EpistemeAI",
-    "inference_platform": "unknown",
-    "id": "EpistemeAI/DeepPhi-3.5-mini-instruct",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 3.821
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1325915238234551
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.28822860667627487
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.006797583081570997
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
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new file mode 100644
index 000000000..378a472d1
--- /dev/null
+++ b/data/hfopenllm_v2/EpistemeAI/DeepPhi-3.5-mini-instruct/ed5d2ca8-d551-493d-8877-348204ef91cc.json
@@ -0,0 +1,132 @@
+{
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/EpistemeAI/DeepThinkers-Phi4/04e20a14-8346-4801-8515-189861c857cb.json b/data/hfopenllm_v2/EpistemeAI/DeepThinkers-Phi4/04e20a14-8346-4801-8515-189861c857cb.json
new file mode 100644
index 000000000..f41ea35a4
--- /dev/null
+++ b/data/hfopenllm_v2/EpistemeAI/DeepThinkers-Phi4/04e20a14-8346-4801-8515-189861c857cb.json
@@ -0,0 +1,132 @@
+{
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+    "source_type": "documentation",
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+    "evaluator_relationship": "third_party"
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+    "id": "EpistemeAI/DeepThinkers-Phi4",
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+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
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+        "evaluation_description": "Exact Match on MATH Level 5",
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/EpistemeAI/FineLlama3.1-8B-Instruct/a99828d9-a521-4b46-bd81-e791fae7bcf8.json b/data/hfopenllm_v2/EpistemeAI/FineLlama3.1-8B-Instruct/a99828d9-a521-4b46-bd81-e791fae7bcf8.json
deleted file mode 100644
index 0294bc96a..000000000
--- a/data/hfopenllm_v2/EpistemeAI/FineLlama3.1-8B-Instruct/a99828d9-a521-4b46-bd81-e791fae7bcf8.json
+++ /dev/null
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diff --git a/data/hfopenllm_v2/EpistemeAI/FineLlama3.1-8B-Instruct/eec2da56-ba0a-418f-afe1-8a46882b9839.json b/data/hfopenllm_v2/EpistemeAI/FineLlama3.1-8B-Instruct/eec2da56-ba0a-418f-afe1-8a46882b9839.json
new file mode 100644
index 000000000..7a0548790
--- /dev/null
+++ b/data/hfopenllm_v2/EpistemeAI/FineLlama3.1-8B-Instruct/eec2da56-ba0a-418f-afe1-8a46882b9839.json
@@ -0,0 +1,132 @@
+{
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+  "source_metadata": {
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+    "source_type": "documentation",
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+    "evaluator_relationship": "third_party"
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+  "model_info": {
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+    "id": "EpistemeAI/FineLlama3.1-8B-Instruct",
+    "developer": "EpistemeAI",
+    "inference_platform": "unknown",
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+      "architecture": "?",
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+        "hf_repo": "SaylorTwift/bbh"
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
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+        "hf_repo": "TIGER-Lab/MMLU-Pro"
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/EpistemeAI/Fireball-12B-v1.13a-philosophers/321cf68b-9220-4ada-89da-061341a20a9d.json b/data/hfopenllm_v2/EpistemeAI/Fireball-12B-v1.13a-philosophers/321cf68b-9220-4ada-89da-061341a20a9d.json
new file mode 100644
index 000000000..2dc46794a
--- /dev/null
+++ b/data/hfopenllm_v2/EpistemeAI/Fireball-12B-v1.13a-philosophers/321cf68b-9220-4ada-89da-061341a20a9d.json
@@ -0,0 +1,132 @@
+{
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+  "source_metadata": {
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+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
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+  "model_info": {
+    "name": "Fireball-12B-v1.13a-philosophers",
+    "id": "EpistemeAI/Fireball-12B-v1.13a-philosophers",
+    "developer": "EpistemeAI",
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+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
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+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4081
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3367
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/EpistemeAI/Fireball-12B/86fda025-2345-4a40-9094-223b96b21f13.json b/data/hfopenllm_v2/EpistemeAI/Fireball-12B/86fda025-2345-4a40-9094-223b96b21f13.json
new file mode 100644
index 000000000..0d7c7fd33
--- /dev/null
+++ b/data/hfopenllm_v2/EpistemeAI/Fireball-12B/86fda025-2345-4a40-9094-223b96b21f13.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/EpistemeAI_Fireball-12B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Fireball-12B",
+    "id": "EpistemeAI/Fireball-12B",
+    "developer": "EpistemeAI",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 12.248
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1834
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5111
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0408
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2617
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4236
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3344
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/EpistemeAI/Fireball-12B/bdb69cfa-cce7-4813-babb-b6f987be90de.json b/data/hfopenllm_v2/EpistemeAI/Fireball-12B/bdb69cfa-cce7-4813-babb-b6f987be90de.json
deleted file mode 100644
index 35a1eefe4..000000000
--- a/data/hfopenllm_v2/EpistemeAI/Fireball-12B/bdb69cfa-cce7-4813-babb-b6f987be90de.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/EpistemeAI_Fireball-12B/1762652579.59992",
-  "retrieved_timestamp": "1762652579.59992",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "EpistemeAI/Fireball-12B",
-    "developer": "EpistemeAI",
-    "inference_platform": "unknown",
-    "id": "EpistemeAI/Fireball-12B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 12.248
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1833501775289565
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5110893652548262
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.04078549848942598
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.26174496644295303
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42363541666666665
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3343583776595745
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/EpistemeAI/Fireball-Alpaca-Llama-3.1-8B-Philos-DPO-200/3c734233-9868-4ba6-83c0-2b63f2ce8980.json b/data/hfopenllm_v2/EpistemeAI/Fireball-Alpaca-Llama-3.1-8B-Philos-DPO-200/3c734233-9868-4ba6-83c0-2b63f2ce8980.json
new file mode 100644
index 000000000..185221b63
--- /dev/null
+++ b/data/hfopenllm_v2/EpistemeAI/Fireball-Alpaca-Llama-3.1-8B-Philos-DPO-200/3c734233-9868-4ba6-83c0-2b63f2ce8980.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/EpistemeAI_Fireball-Alpaca-Llama-3.1-8B-Philos-DPO-200/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Fireball-Alpaca-Llama-3.1-8B-Philos-DPO-200",
+    "id": "EpistemeAI/Fireball-Alpaca-Llama-3.1-8B-Philos-DPO-200",
+    "developer": "EpistemeAI",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.0
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4577
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4838
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1231
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3003
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3945
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3583
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/EpistemeAI/Fireball-Alpaca-Llama-3.1-8B-Philos-DPO-200/627a984d-8a4b-4a10-ac9e-05ccdbcc1835.json b/data/hfopenllm_v2/EpistemeAI/Fireball-Alpaca-Llama-3.1-8B-Philos-DPO-200/627a984d-8a4b-4a10-ac9e-05ccdbcc1835.json
deleted file mode 100644
index 2936b1298..000000000
--- a/data/hfopenllm_v2/EpistemeAI/Fireball-Alpaca-Llama-3.1-8B-Philos-DPO-200/627a984d-8a4b-4a10-ac9e-05ccdbcc1835.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/EpistemeAI_Fireball-Alpaca-Llama-3.1-8B-Philos-DPO-200/1762652579.600397",
-  "retrieved_timestamp": "1762652579.600397",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "EpistemeAI/Fireball-Alpaca-Llama-3.1-8B-Philos-DPO-200",
-    "developer": "EpistemeAI",
-    "inference_platform": "unknown",
-    "id": "EpistemeAI/Fireball-Alpaca-Llama-3.1-8B-Philos-DPO-200",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.0
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4577243934981405
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4838398624677178
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.12311178247734139
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30033557046979864
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.39445833333333336
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.35829454787234044
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/EpistemeAI/Fireball-Alpaca-Llama3.1.07-8B-Philos-Math-KTO-beta/7f5eca48-0ab9-4ef2-85c2-a7f1fe713afe.json b/data/hfopenllm_v2/EpistemeAI/Fireball-Alpaca-Llama3.1.07-8B-Philos-Math-KTO-beta/7f5eca48-0ab9-4ef2-85c2-a7f1fe713afe.json
new file mode 100644
index 000000000..a5c0fc181
--- /dev/null
+++ b/data/hfopenllm_v2/EpistemeAI/Fireball-Alpaca-Llama3.1.07-8B-Philos-Math-KTO-beta/7f5eca48-0ab9-4ef2-85c2-a7f1fe713afe.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/EpistemeAI_Fireball-Alpaca-Llama3.1.07-8B-Philos-Math-KTO-beta/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Fireball-Alpaca-Llama3.1.07-8B-Philos-Math-KTO-beta",
+    "id": "EpistemeAI/Fireball-Alpaca-Llama3.1.07-8B-Philos-Math-KTO-beta",
+    "developer": "EpistemeAI",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.0
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7274
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4865
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1526
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2802
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
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+        "hf_repo": "TIGER-Lab/MMLU-Pro"
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/EpistemeAI/Fireball-Alpaca-Llama3.1.08-8B-Philos-C-R2/f5e0e809-08b8-43dd-a44d-875f365610c3.json b/data/hfopenllm_v2/EpistemeAI/Fireball-Alpaca-Llama3.1.08-8B-Philos-C-R2/f5e0e809-08b8-43dd-a44d-875f365610c3.json
new file mode 100644
index 000000000..5554b76ed
--- /dev/null
+++ b/data/hfopenllm_v2/EpistemeAI/Fireball-Alpaca-Llama3.1.08-8B-Philos-C-R2/f5e0e809-08b8-43dd-a44d-875f365610c3.json
@@ -0,0 +1,132 @@
+{
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+  "evaluation_id": "hfopenllm_v2/EpistemeAI_Fireball-Alpaca-Llama3.1.08-8B-Philos-C-R2/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
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+    "source_type": "documentation",
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+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
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+    "id": "EpistemeAI/Fireball-Alpaca-Llama3.1.08-8B-Philos-C-R2",
+    "developer": "EpistemeAI",
+    "inference_platform": "unknown",
+    "additional_details": {
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+    }
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+      },
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+        "score_type": "continuous",
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+      },
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+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
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+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/EpistemeAI/Fireball-Meta-Llama-3.1-8B-Instruct-0.001-128K-auto/8d267135-a7e6-4ec5-ae09-66478804bb66.json b/data/hfopenllm_v2/EpistemeAI/Fireball-Meta-Llama-3.1-8B-Instruct-0.001-128K-auto/8d267135-a7e6-4ec5-ae09-66478804bb66.json
new file mode 100644
index 000000000..e11cd048a
--- /dev/null
+++ b/data/hfopenllm_v2/EpistemeAI/Fireball-Meta-Llama-3.1-8B-Instruct-0.001-128K-auto/8d267135-a7e6-4ec5-ae09-66478804bb66.json
@@ -0,0 +1,132 @@
+{
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+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
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+    "id": "EpistemeAI/Fireball-Meta-Llama-3.1-8B-Instruct-0.001-128K-auto",
+    "developer": "EpistemeAI",
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+    }
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+        "hf_repo": "SaylorTwift/bbh"
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+        "max_score": 1.0
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+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
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+      },
+      "metric_config": {
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+        "hf_repo": "TAUR-Lab/MuSR"
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/EpistemeAI/Fireball-Meta-Llama-3.1-8B-Instruct-0.001-128K-auto/b8b22223-7ef6-4fec-9928-68de2ce516e6.json b/data/hfopenllm_v2/EpistemeAI/Fireball-Meta-Llama-3.1-8B-Instruct-0.001-128K-auto/b8b22223-7ef6-4fec-9928-68de2ce516e6.json
deleted file mode 100644
index 33f5b26b9..000000000
--- a/data/hfopenllm_v2/EpistemeAI/Fireball-Meta-Llama-3.1-8B-Instruct-0.001-128K-auto/b8b22223-7ef6-4fec-9928-68de2ce516e6.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/EpistemeAI/Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.003-128K-code-ds-auto/4940ed0e-2c1e-4408-9806-49ceed30a69e.json b/data/hfopenllm_v2/EpistemeAI/Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.003-128K-code-ds-auto/4940ed0e-2c1e-4408-9806-49ceed30a69e.json
new file mode 100644
index 000000000..afd2c84cc
--- /dev/null
+++ b/data/hfopenllm_v2/EpistemeAI/Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.003-128K-code-ds-auto/4940ed0e-2c1e-4408-9806-49ceed30a69e.json
@@ -0,0 +1,132 @@
+{
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+  "evaluation_id": "hfopenllm_v2/EpistemeAI_Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.003-128K-code-ds-auto/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.003-128K-code-ds-auto",
+    "id": "EpistemeAI/Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.003-128K-code-ds-auto",
+    "developer": "EpistemeAI",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1397
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2659
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3209
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.348
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+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/EpistemeAI/Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.003-128K-code-ds-auto/5f6f7b7c-ef6a-4468-aae5-d7dfc25c5659.json b/data/hfopenllm_v2/EpistemeAI/Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.003-128K-code-ds-auto/5f6f7b7c-ef6a-4468-aae5-d7dfc25c5659.json
new file mode 100644
index 000000000..df9550996
--- /dev/null
+++ b/data/hfopenllm_v2/EpistemeAI/Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.003-128K-code-ds-auto/5f6f7b7c-ef6a-4468-aae5-d7dfc25c5659.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/EpistemeAI_Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.003-128K-code-ds-auto/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.003-128K-code-ds-auto",
+    "id": "EpistemeAI/Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.003-128K-code-ds-auto",
+    "developer": "EpistemeAI",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7207
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.461
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1314
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2701
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3432
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3354
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/EpistemeAI/Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.003-128K-code-ds-auto/7268e623-7dc3-4a79-b410-3f2efdbb6b1b.json b/data/hfopenllm_v2/EpistemeAI/Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.003-128K-code-ds-auto/7268e623-7dc3-4a79-b410-3f2efdbb6b1b.json
deleted file mode 100644
index 76a3ed14e..000000000
--- a/data/hfopenllm_v2/EpistemeAI/Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.003-128K-code-ds-auto/7268e623-7dc3-4a79-b410-3f2efdbb6b1b.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/EpistemeAI_Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.003-128K-code-ds-auto/1762652579.6022642",
-  "retrieved_timestamp": "1762652579.6022651",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "EpistemeAI/Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.003-128K-code-ds-auto",
-    "developer": "EpistemeAI",
-    "inference_platform": "unknown",
-    "id": "EpistemeAI/Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.003-128K-code-ds-auto",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7207066140063919
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4610092915501656
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.13141993957703926
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2701342281879195
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3432395833333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3353557180851064
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/EpistemeAI/Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.003-128K-code-ds-auto/ba8d6727-fe89-4bab-95a2-5f70d77034dc.json b/data/hfopenllm_v2/EpistemeAI/Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.003-128K-code-ds-auto/ba8d6727-fe89-4bab-95a2-5f70d77034dc.json
deleted file mode 100644
index acc70a297..000000000
--- a/data/hfopenllm_v2/EpistemeAI/Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.003-128K-code-ds-auto/ba8d6727-fe89-4bab-95a2-5f70d77034dc.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/EpistemeAI_Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.003-128K-code-ds-auto/1762652579.601946",
-  "retrieved_timestamp": "1762652579.6019468",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "EpistemeAI/Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.003-128K-code-ds-auto",
-    "developer": "EpistemeAI",
-    "inference_platform": "unknown",
-    "id": "EpistemeAI/Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.003-128K-code-ds-auto",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7304984108831234
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.46492466713692354
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.13972809667673716
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.26593959731543626
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.32088541666666665
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.34798869680851063
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/EpistemeAI/Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.003-128K-code-ds/1ad587be-8544-4c37-bb8c-e21ad685039c.json b/data/hfopenllm_v2/EpistemeAI/Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.003-128K-code-ds/1ad587be-8544-4c37-bb8c-e21ad685039c.json
deleted file mode 100644
index ef3075a24..000000000
--- a/data/hfopenllm_v2/EpistemeAI/Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.003-128K-code-ds/1ad587be-8544-4c37-bb8c-e21ad685039c.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/EpistemeAI_Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.003-128K-code-ds/1762652579.60172",
-  "retrieved_timestamp": "1762652579.601721",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "EpistemeAI/Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.003-128K-code-ds",
-    "developer": "EpistemeAI",
-    "inference_platform": "unknown",
-    "id": "EpistemeAI/Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.003-128K-code-ds",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.0
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.669099101495144
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4668070143164938
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1336858006042296
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2726510067114094
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.34178125
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.33892952127659576
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/EpistemeAI/Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.003-128K-code-ds/5244ee3c-7d65-434a-acfe-cdb277ff5264.json b/data/hfopenllm_v2/EpistemeAI/Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.003-128K-code-ds/5244ee3c-7d65-434a-acfe-cdb277ff5264.json
new file mode 100644
index 000000000..1b365ab87
--- /dev/null
+++ b/data/hfopenllm_v2/EpistemeAI/Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.003-128K-code-ds/5244ee3c-7d65-434a-acfe-cdb277ff5264.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/EpistemeAI_Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.003-128K-code-ds/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.003-128K-code-ds",
+    "id": "EpistemeAI/Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.003-128K-code-ds",
+    "developer": "EpistemeAI",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.0
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6691
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4668
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1337
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2727
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3418
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3389
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/EpistemeAI/Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.003-128K-code/5f40e687-560e-4846-bbc1-4c2300680d4b.json b/data/hfopenllm_v2/EpistemeAI/Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.003-128K-code/5f40e687-560e-4846-bbc1-4c2300680d4b.json
deleted file mode 100644
index e2a036d8b..000000000
--- a/data/hfopenllm_v2/EpistemeAI/Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.003-128K-code/5f40e687-560e-4846-bbc1-4c2300680d4b.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/EpistemeAI_Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.003-128K-code/1762652579.601493",
-  "retrieved_timestamp": "1762652579.601493",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "EpistemeAI/Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.003-128K-code",
-    "developer": "EpistemeAI",
-    "inference_platform": "unknown",
-    "id": "EpistemeAI/Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.003-128K-code",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.0
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30201342281879195
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.40103125
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
-        "score": 0.34225398936170215
-      }
-    }
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-}
diff --git a/data/hfopenllm_v2/EpistemeAI/Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.003-128K-code/eba4644f-d455-4a23-a16f-8ecb038ffe7f.json b/data/hfopenllm_v2/EpistemeAI/Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.003-128K-code/eba4644f-d455-4a23-a16f-8ecb038ffe7f.json
new file mode 100644
index 000000000..647383065
--- /dev/null
+++ b/data/hfopenllm_v2/EpistemeAI/Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.003-128K-code/eba4644f-d455-4a23-a16f-8ecb038ffe7f.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/EpistemeAI_Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.003-128K-code/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.003-128K-code",
+    "id": "EpistemeAI/Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.003-128K-code",
+    "developer": "EpistemeAI",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.0
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5975
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4904
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1337
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.302
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.401
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3423
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/EpistemeAI/Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.003-128K/839b6ee8-2f25-4b53-abec-a0a9dd198f04.json b/data/hfopenllm_v2/EpistemeAI/Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.003-128K/839b6ee8-2f25-4b53-abec-a0a9dd198f04.json
deleted file mode 100644
index b40cab675..000000000
--- a/data/hfopenllm_v2/EpistemeAI/Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.003-128K/839b6ee8-2f25-4b53-abec-a0a9dd198f04.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/EpistemeAI_Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.003-128K/1762652579.6012669",
-  "retrieved_timestamp": "1762652579.601268",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "EpistemeAI/Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.003-128K",
-    "developer": "EpistemeAI",
-    "inference_platform": "unknown",
-    "id": "EpistemeAI/Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.003-128K",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.0
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4457339858242796
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.48973199216860547
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.12084592145015106
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.29446308724832215
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37622916666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3543051861702128
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/EpistemeAI/Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.003-128K/fb270319-7010-4946-b60c-409aebe41aaa.json b/data/hfopenllm_v2/EpistemeAI/Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.003-128K/fb270319-7010-4946-b60c-409aebe41aaa.json
new file mode 100644
index 000000000..19697de71
--- /dev/null
+++ b/data/hfopenllm_v2/EpistemeAI/Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.003-128K/fb270319-7010-4946-b60c-409aebe41aaa.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/EpistemeAI_Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.003-128K/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.003-128K",
+    "id": "EpistemeAI/Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.003-128K",
+    "developer": "EpistemeAI",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.0
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4457
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4897
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1208
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2945
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3762
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3543
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/EpistemeAI/Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.004-128K-code-COT/6f29d957-8b65-4ee7-96dd-da2477023403.json b/data/hfopenllm_v2/EpistemeAI/Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.004-128K-code-COT/6f29d957-8b65-4ee7-96dd-da2477023403.json
deleted file mode 100644
index 1bdf7d3fc..000000000
--- a/data/hfopenllm_v2/EpistemeAI/Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.004-128K-code-COT/6f29d957-8b65-4ee7-96dd-da2477023403.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/EpistemeAI_Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.004-128K-code-COT/1762652579.6025012",
-  "retrieved_timestamp": "1762652579.6025019",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "EpistemeAI/Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.004-128K-code-COT",
-    "developer": "EpistemeAI",
-    "inference_platform": "unknown",
-    "id": "EpistemeAI/Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.004-128K-code-COT",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.0
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4578241288669619
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4760520079608936
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.13821752265861026
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2936241610738255
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3881354166666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3470744680851064
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/EpistemeAI/Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.004-128K-code-COT/d57bd77a-11cc-497c-b0bb-31c1ffa63dc2.json b/data/hfopenllm_v2/EpistemeAI/Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.004-128K-code-COT/d57bd77a-11cc-497c-b0bb-31c1ffa63dc2.json
new file mode 100644
index 000000000..b052f7972
--- /dev/null
+++ b/data/hfopenllm_v2/EpistemeAI/Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.004-128K-code-COT/d57bd77a-11cc-497c-b0bb-31c1ffa63dc2.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/EpistemeAI_Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.004-128K-code-COT/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.004-128K-code-COT",
+    "id": "EpistemeAI/Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.004-128K-code-COT",
+    "developer": "EpistemeAI",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.0
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4578
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4761
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1382
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2936
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3881
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3471
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/EpistemeAI/Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.004-128K-code-ds-auto/0220984e-fe8c-4e72-bc3e-92b949ffe769.json b/data/hfopenllm_v2/EpistemeAI/Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.004-128K-code-ds-auto/0220984e-fe8c-4e72-bc3e-92b949ffe769.json
new file mode 100644
index 000000000..f8d75adfa
--- /dev/null
+++ b/data/hfopenllm_v2/EpistemeAI/Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.004-128K-code-ds-auto/0220984e-fe8c-4e72-bc3e-92b949ffe769.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/EpistemeAI_Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.004-128K-code-ds-auto/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.004-128K-code-ds-auto",
+    "id": "EpistemeAI/Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.004-128K-code-ds-auto",
+    "developer": "EpistemeAI",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.0
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7205
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4818
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1435
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2483
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.33
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3548
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/EpistemeAI/Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.004-128K-code-ds-auto/c39007d8-b4b8-485a-88af-39d18a6007c3.json b/data/hfopenllm_v2/EpistemeAI/Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.004-128K-code-ds-auto/c39007d8-b4b8-485a-88af-39d18a6007c3.json
deleted file mode 100644
index 45a991768..000000000
--- a/data/hfopenllm_v2/EpistemeAI/Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.004-128K-code-ds-auto/c39007d8-b4b8-485a-88af-39d18a6007c3.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/EpistemeAI_Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.004-128K-code-ds-auto/1762652579.602742",
-  "retrieved_timestamp": "1762652579.6027431",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "EpistemeAI/Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.004-128K-code-ds-auto",
-    "developer": "EpistemeAI",
-    "inference_platform": "unknown",
-    "id": "EpistemeAI/Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.004-128K-code-ds-auto",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.0
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7204816553411615
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4817795525811035
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.14350453172205438
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2483221476510067
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.33
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.35480385638297873
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/EpistemeAI/Fireball-Meta-Llama-3.1-8B-Instruct-Math/16482634-ec03-463a-9deb-2230ee955800.json b/data/hfopenllm_v2/EpistemeAI/Fireball-Meta-Llama-3.1-8B-Instruct-Math/16482634-ec03-463a-9deb-2230ee955800.json
new file mode 100644
index 000000000..af0d2a1e2
--- /dev/null
+++ b/data/hfopenllm_v2/EpistemeAI/Fireball-Meta-Llama-3.1-8B-Instruct-Math/16482634-ec03-463a-9deb-2230ee955800.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/EpistemeAI_Fireball-Meta-Llama-3.1-8B-Instruct-Math/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Fireball-Meta-Llama-3.1-8B-Instruct-Math",
+    "id": "EpistemeAI/Fireball-Meta-Llama-3.1-8B-Instruct-Math",
+    "developer": "EpistemeAI",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4623
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4983
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.108
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2911
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3641
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3331
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/EpistemeAI/Fireball-Meta-Llama-3.1-8B-Instruct-Math/506bb9ca-e322-4ee3-b2d6-96e334a99473.json b/data/hfopenllm_v2/EpistemeAI/Fireball-Meta-Llama-3.1-8B-Instruct-Math/506bb9ca-e322-4ee3-b2d6-96e334a99473.json
deleted file mode 100644
index 553675979..000000000
--- a/data/hfopenllm_v2/EpistemeAI/Fireball-Meta-Llama-3.1-8B-Instruct-Math/506bb9ca-e322-4ee3-b2d6-96e334a99473.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/EpistemeAI_Fireball-Meta-Llama-3.1-8B-Instruct-Math/1762652579.602981",
-  "retrieved_timestamp": "1762652579.6029818",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "EpistemeAI/Fireball-Meta-Llama-3.1-8B-Instruct-Math",
-    "developer": "EpistemeAI",
-    "inference_platform": "unknown",
-    "id": "EpistemeAI/Fireball-Meta-Llama-3.1-8B-Instruct-Math",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.46229559790245434
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.49829504320793055
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.10800604229607251
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2911073825503356
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3640729166666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.33311170212765956
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/EpistemeAI/Fireball-Meta-Llama-3.2-8B-Instruct-agent-003-128k-code-DPO/4c1db32d-96fc-4a66-b083-530a3e75ad6d.json b/data/hfopenllm_v2/EpistemeAI/Fireball-Meta-Llama-3.2-8B-Instruct-agent-003-128k-code-DPO/4c1db32d-96fc-4a66-b083-530a3e75ad6d.json
new file mode 100644
index 000000000..a7e78720e
--- /dev/null
+++ b/data/hfopenllm_v2/EpistemeAI/Fireball-Meta-Llama-3.2-8B-Instruct-agent-003-128k-code-DPO/4c1db32d-96fc-4a66-b083-530a3e75ad6d.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/EpistemeAI_Fireball-Meta-Llama-3.2-8B-Instruct-agent-003-128k-code-DPO/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Fireball-Meta-Llama-3.2-8B-Instruct-agent-003-128k-code-DPO",
+    "id": "EpistemeAI/Fireball-Meta-Llama-3.2-8B-Instruct-agent-003-128k-code-DPO",
+    "developer": "EpistemeAI",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.0
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4611
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4801
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1254
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3003
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3998
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3521
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/EpistemeAI/Fireball-Meta-Llama-3.2-8B-Instruct-agent-003-128k-code-DPO/e351aba3-7a05-400b-abbf-d09c1fe333e3.json b/data/hfopenllm_v2/EpistemeAI/Fireball-Meta-Llama-3.2-8B-Instruct-agent-003-128k-code-DPO/e351aba3-7a05-400b-abbf-d09c1fe333e3.json
deleted file mode 100644
index cc91de217..000000000
--- a/data/hfopenllm_v2/EpistemeAI/Fireball-Meta-Llama-3.2-8B-Instruct-agent-003-128k-code-DPO/e351aba3-7a05-400b-abbf-d09c1fe333e3.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/EpistemeAI_Fireball-Meta-Llama-3.2-8B-Instruct-agent-003-128k-code-DPO/1762652579.60321",
-  "retrieved_timestamp": "1762652579.603211",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "EpistemeAI/Fireball-Meta-Llama-3.2-8B-Instruct-agent-003-128k-code-DPO",
-    "developer": "EpistemeAI",
-    "inference_platform": "unknown",
-    "id": "EpistemeAI/Fireball-Meta-Llama-3.2-8B-Instruct-agent-003-128k-code-DPO",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.0
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.46109655713506825
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.48010141537970213
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.12537764350453173
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30033557046979864
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3998229166666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.35206117021276595
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/EpistemeAI/Fireball-Mistral-Nemo-Base-2407-v1-DPO2/6a0cc28d-d7bc-454d-ab7c-93c823256f30.json b/data/hfopenllm_v2/EpistemeAI/Fireball-Mistral-Nemo-Base-2407-v1-DPO2/6a0cc28d-d7bc-454d-ab7c-93c823256f30.json
deleted file mode 100644
index 67c7ae680..000000000
--- a/data/hfopenllm_v2/EpistemeAI/Fireball-Mistral-Nemo-Base-2407-v1-DPO2/6a0cc28d-d7bc-454d-ab7c-93c823256f30.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/EpistemeAI_Fireball-Mistral-Nemo-Base-2407-v1-DPO2/1762652579.603439",
-  "retrieved_timestamp": "1762652579.60344",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "EpistemeAI/Fireball-Mistral-Nemo-Base-2407-v1-DPO2",
-    "developer": "EpistemeAI",
-    "inference_platform": "unknown",
-    "id": "EpistemeAI/Fireball-Mistral-Nemo-Base-2407-v1-DPO2",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 12.248
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.18607295309778055
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.49677687590350894
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.03625377643504532
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.29194630872483224
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4040104166666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.33527260638297873
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/EpistemeAI/Fireball-Mistral-Nemo-Base-2407-v1-DPO2/c0c5c846-395a-47ac-9e8e-e598939f317d.json b/data/hfopenllm_v2/EpistemeAI/Fireball-Mistral-Nemo-Base-2407-v1-DPO2/c0c5c846-395a-47ac-9e8e-e598939f317d.json
new file mode 100644
index 000000000..d0ad3364c
--- /dev/null
+++ b/data/hfopenllm_v2/EpistemeAI/Fireball-Mistral-Nemo-Base-2407-v1-DPO2/c0c5c846-395a-47ac-9e8e-e598939f317d.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/EpistemeAI_Fireball-Mistral-Nemo-Base-2407-v1-DPO2/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Fireball-Mistral-Nemo-Base-2407-v1-DPO2",
+    "id": "EpistemeAI/Fireball-Mistral-Nemo-Base-2407-v1-DPO2",
+    "developer": "EpistemeAI",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 12.248
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1861
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4968
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0363
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2919
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.404
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3353
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/EpistemeAI/Fireball-R1-Llama-3.1-8B-Medical-COT/6b3f6b59-a8eb-48c2-acbc-92e8f34b2dd6.json b/data/hfopenllm_v2/EpistemeAI/Fireball-R1-Llama-3.1-8B-Medical-COT/6b3f6b59-a8eb-48c2-acbc-92e8f34b2dd6.json
new file mode 100644
index 000000000..4e38880fc
--- /dev/null
+++ b/data/hfopenllm_v2/EpistemeAI/Fireball-R1-Llama-3.1-8B-Medical-COT/6b3f6b59-a8eb-48c2-acbc-92e8f34b2dd6.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/EpistemeAI_Fireball-R1-Llama-3.1-8B-Medical-COT/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Fireball-R1-Llama-3.1-8B-Medical-COT",
+    "id": "EpistemeAI/Fireball-R1-Llama-3.1-8B-Medical-COT",
+    "developer": "EpistemeAI",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3216
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3716
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.327
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2743
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3114
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1402
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/EpistemeAI/Fireball-R1-Llama-3.1-8B/d017e3bf-2abe-4b84-810e-e0eaf973adc3.json b/data/hfopenllm_v2/EpistemeAI/Fireball-R1-Llama-3.1-8B/d017e3bf-2abe-4b84-810e-e0eaf973adc3.json
new file mode 100644
index 000000000..694f4c5d2
--- /dev/null
+++ b/data/hfopenllm_v2/EpistemeAI/Fireball-R1-Llama-3.1-8B/d017e3bf-2abe-4b84-810e-e0eaf973adc3.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/EpistemeAI_Fireball-R1-Llama-3.1-8B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/EpistemeAI/Fireball-R1.1-Llama-3.1-8B/62a3ecb8-f6d1-429c-807f-5545b2a5897f.json b/data/hfopenllm_v2/EpistemeAI/Fireball-R1.1-Llama-3.1-8B/62a3ecb8-f6d1-429c-807f-5545b2a5897f.json
new file mode 100644
index 000000000..81219a0cf
--- /dev/null
+++ b/data/hfopenllm_v2/EpistemeAI/Fireball-R1.1-Llama-3.1-8B/62a3ecb8-f6d1-429c-807f-5545b2a5897f.json
@@ -0,0 +1,132 @@
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/EpistemeAI/Llama-3.2-3B-Agent007-Coder/748557ce-1a49-4b3a-9c38-9007dc04aafb.json b/data/hfopenllm_v2/EpistemeAI/Llama-3.2-3B-Agent007-Coder/748557ce-1a49-4b3a-9c38-9007dc04aafb.json
new file mode 100644
index 000000000..c5b57ce3d
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+++ b/data/hfopenllm_v2/EpistemeAI/Llama-3.2-3B-Agent007-Coder/748557ce-1a49-4b3a-9c38-9007dc04aafb.json
@@ -0,0 +1,132 @@
+{
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+      },
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/EpistemeAI/Mistral-Nemo-Instruct-12B-Philosophy-Math/95d43d01-a75e-4af4-a2cc-b60f832071d3.json b/data/hfopenllm_v2/EpistemeAI/Mistral-Nemo-Instruct-12B-Philosophy-Math/95d43d01-a75e-4af4-a2cc-b60f832071d3.json
new file mode 100644
index 000000000..8cad61e00
--- /dev/null
+++ b/data/hfopenllm_v2/EpistemeAI/Mistral-Nemo-Instruct-12B-Philosophy-Math/95d43d01-a75e-4af4-a2cc-b60f832071d3.json
@@ -0,0 +1,132 @@
+{
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+  "source_metadata": {
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+    "developer": "EpistemeAI",
+    "inference_platform": "unknown",
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+        "score_type": "continuous",
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/EpistemeAI/Mistral-Nemo-Instruct-12B-Philosophy-Math/ee2ab45a-4a93-4942-8510-aef93b39b7e3.json b/data/hfopenllm_v2/EpistemeAI/Mistral-Nemo-Instruct-12B-Philosophy-Math/ee2ab45a-4a93-4942-8510-aef93b39b7e3.json
deleted file mode 100644
index d5231fe79..000000000
--- a/data/hfopenllm_v2/EpistemeAI/Mistral-Nemo-Instruct-12B-Philosophy-Math/ee2ab45a-4a93-4942-8510-aef93b39b7e3.json
+++ /dev/null
@@ -1,105 +0,0 @@
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-}
diff --git a/data/hfopenllm_v2/EpistemeAI/OpenReasoner-Llama-3.2-3B-rs1.0/4dc7c889-7839-4047-b48c-33be5b688e72.json b/data/hfopenllm_v2/EpistemeAI/OpenReasoner-Llama-3.2-3B-rs1.0/4dc7c889-7839-4047-b48c-33be5b688e72.json
new file mode 100644
index 000000000..62e0df3f5
--- /dev/null
+++ b/data/hfopenllm_v2/EpistemeAI/OpenReasoner-Llama-3.2-3B-rs1.0/4dc7c889-7839-4047-b48c-33be5b688e72.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/EpistemeAI_OpenReasoner-Llama-3.2-3B-rs1.0/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "OpenReasoner-Llama-3.2-3B-rs1.0",
+    "id": "EpistemeAI/OpenReasoner-Llama-3.2-3B-rs1.0",
+    "developer": "EpistemeAI",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 3.213
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7274
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4519
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1344
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2718
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3461
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3134
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/EpistemeAI/Polypsyche-Llama-3.1-8B-Instruct-Agent-0.003-128K-code-ds-auto-Empathy/644cdea0-49f2-43b9-b94d-55d31c0e0d54.json b/data/hfopenllm_v2/EpistemeAI/Polypsyche-Llama-3.1-8B-Instruct-Agent-0.003-128K-code-ds-auto-Empathy/644cdea0-49f2-43b9-b94d-55d31c0e0d54.json
deleted file mode 100644
index 987cb5aa0..000000000
--- a/data/hfopenllm_v2/EpistemeAI/Polypsyche-Llama-3.1-8B-Instruct-Agent-0.003-128K-code-ds-auto-Empathy/644cdea0-49f2-43b9-b94d-55d31c0e0d54.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/EpistemeAI_Polypsyche-Llama-3.1-8B-Instruct-Agent-0.003-128K-code-ds-auto-Empathy/1762652579.6049678",
-  "retrieved_timestamp": "1762652579.6049678",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "EpistemeAI/Polypsyche-Llama-3.1-8B-Instruct-Agent-0.003-128K-code-ds-auto-Empathy",
-    "developer": "EpistemeAI",
-    "inference_platform": "unknown",
-    "id": "EpistemeAI/Polypsyche-Llama-3.1-8B-Instruct-Agent-0.003-128K-code-ds-auto-Empathy",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.0
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7100903380807368
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.46279874531423665
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.13972809667673716
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.27684563758389263
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3194895833333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.33111702127659576
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/EpistemeAI/Polypsyche-Llama-3.1-8B-Instruct-Agent-0.003-128K-code-ds-auto-Empathy/751851c8-9a7f-4135-a106-eab4efbd0734.json b/data/hfopenllm_v2/EpistemeAI/Polypsyche-Llama-3.1-8B-Instruct-Agent-0.003-128K-code-ds-auto-Empathy/751851c8-9a7f-4135-a106-eab4efbd0734.json
new file mode 100644
index 000000000..afaf74d49
--- /dev/null
+++ b/data/hfopenllm_v2/EpistemeAI/Polypsyche-Llama-3.1-8B-Instruct-Agent-0.003-128K-code-ds-auto-Empathy/751851c8-9a7f-4135-a106-eab4efbd0734.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/EpistemeAI_Polypsyche-Llama-3.1-8B-Instruct-Agent-0.003-128K-code-ds-auto-Empathy/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Polypsyche-Llama-3.1-8B-Instruct-Agent-0.003-128K-code-ds-auto-Empathy",
+    "id": "EpistemeAI/Polypsyche-Llama-3.1-8B-Instruct-Agent-0.003-128K-code-ds-auto-Empathy",
+    "developer": "EpistemeAI",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.0
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7101
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4628
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1397
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2768
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3195
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3311
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/EpistemeAI/Polypsyche-Llama-3.1-8B-Instruct-Agent-0.003-128K-code-ds-auto-Logic/2930e30c-9f2e-4248-ae3b-ed7ffbd12f8c.json b/data/hfopenllm_v2/EpistemeAI/Polypsyche-Llama-3.1-8B-Instruct-Agent-0.003-128K-code-ds-auto-Logic/2930e30c-9f2e-4248-ae3b-ed7ffbd12f8c.json
new file mode 100644
index 000000000..9a4c900d1
--- /dev/null
+++ b/data/hfopenllm_v2/EpistemeAI/Polypsyche-Llama-3.1-8B-Instruct-Agent-0.003-128K-code-ds-auto-Logic/2930e30c-9f2e-4248-ae3b-ed7ffbd12f8c.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/EpistemeAI_Polypsyche-Llama-3.1-8B-Instruct-Agent-0.003-128K-code-ds-auto-Logic/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Polypsyche-Llama-3.1-8B-Instruct-Agent-0.003-128K-code-ds-auto-Logic",
+    "id": "EpistemeAI/Polypsyche-Llama-3.1-8B-Instruct-Agent-0.003-128K-code-ds-auto-Logic",
+    "developer": "EpistemeAI",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7122
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4566
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1246
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2844
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3235
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.335
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/EpistemeAI/Polypsyche-Llama-3.1-8B-Instruct-Agent-0.003-128K-code-ds-auto-Logic/e2422bfe-8569-4181-8ec1-955086bbb8bb.json b/data/hfopenllm_v2/EpistemeAI/Polypsyche-Llama-3.1-8B-Instruct-Agent-0.003-128K-code-ds-auto-Logic/e2422bfe-8569-4181-8ec1-955086bbb8bb.json
deleted file mode 100644
index a6e0bb7bd..000000000
--- a/data/hfopenllm_v2/EpistemeAI/Polypsyche-Llama-3.1-8B-Instruct-Agent-0.003-128K-code-ds-auto-Logic/e2422bfe-8569-4181-8ec1-955086bbb8bb.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/EpistemeAI_Polypsyche-Llama-3.1-8B-Instruct-Agent-0.003-128K-code-ds-auto-Logic/1762652579.605414",
-  "retrieved_timestamp": "1762652579.6054149",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "EpistemeAI/Polypsyche-Llama-3.1-8B-Instruct-Agent-0.003-128K-code-ds-auto-Logic",
-    "developer": "EpistemeAI",
-    "inference_platform": "unknown",
-    "id": "EpistemeAI/Polypsyche-Llama-3.1-8B-Instruct-Agent-0.003-128K-code-ds-auto-Logic",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.712213593265868
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.45659361690861294
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.12462235649546828
-      }
-    },
-    {
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diff --git a/data/hfopenllm_v2/EpistemeAI/Polypsyche-Llama-3.1-8B-Instruct-Agent-0.003-128K-code-ds-auto-divergent/98c2fc89-acc4-4740-9d24-c9e9c2cd9ad7.json b/data/hfopenllm_v2/EpistemeAI/Polypsyche-Llama-3.1-8B-Instruct-Agent-0.003-128K-code-ds-auto-divergent/98c2fc89-acc4-4740-9d24-c9e9c2cd9ad7.json
deleted file mode 100644
index eb0cdb5ac..000000000
--- a/data/hfopenllm_v2/EpistemeAI/Polypsyche-Llama-3.1-8B-Instruct-Agent-0.003-128K-code-ds-auto-divergent/98c2fc89-acc4-4740-9d24-c9e9c2cd9ad7.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/EpistemeAI_Polypsyche-Llama-3.1-8B-Instruct-Agent-0.003-128K-code-ds-auto-divergent/1762652579.605665",
-  "retrieved_timestamp": "1762652579.6056662",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
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-  "source_metadata": {
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "EpistemeAI/Polypsyche-Llama-3.1-8B-Instruct-Agent-0.003-128K-code-ds-auto-divergent",
-    "developer": "EpistemeAI",
-    "inference_platform": "unknown",
-    "id": "EpistemeAI/Polypsyche-Llama-3.1-8B-Instruct-Agent-0.003-128K-code-ds-auto-divergent",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
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-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6915306941138402
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    {
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-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
-        "score": 0.12915407854984895
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.26677852348993286
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.35775
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.32903922872340424
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/EpistemeAI/Polypsyche-Llama-3.1-8B-Instruct-Agent-0.003-128K-code-ds-auto-divergent/c1acc460-aeb8-4a99-8ca5-376ab60fb74a.json b/data/hfopenllm_v2/EpistemeAI/Polypsyche-Llama-3.1-8B-Instruct-Agent-0.003-128K-code-ds-auto-divergent/c1acc460-aeb8-4a99-8ca5-376ab60fb74a.json
new file mode 100644
index 000000000..f3d4c197b
--- /dev/null
+++ b/data/hfopenllm_v2/EpistemeAI/Polypsyche-Llama-3.1-8B-Instruct-Agent-0.003-128K-code-ds-auto-divergent/c1acc460-aeb8-4a99-8ca5-376ab60fb74a.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/EpistemeAI_Polypsyche-Llama-3.1-8B-Instruct-Agent-0.003-128K-code-ds-auto-divergent/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Polypsyche-Llama-3.1-8B-Instruct-Agent-0.003-128K-code-ds-auto-divergent",
+    "id": "EpistemeAI/Polypsyche-Llama-3.1-8B-Instruct-Agent-0.003-128K-code-ds-auto-divergent",
+    "developer": "EpistemeAI",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6915
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4525
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1292
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2668
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3578
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.329
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/EpistemeAI/Reasoning-Llama-3.1-CoT-RE1-NMT-V2-ORPO/33b8b64f-7da5-45aa-bf80-7145ef704229.json b/data/hfopenllm_v2/EpistemeAI/Reasoning-Llama-3.1-CoT-RE1-NMT-V2-ORPO/33b8b64f-7da5-45aa-bf80-7145ef704229.json
new file mode 100644
index 000000000..40ecf34e1
--- /dev/null
+++ b/data/hfopenllm_v2/EpistemeAI/Reasoning-Llama-3.1-CoT-RE1-NMT-V2-ORPO/33b8b64f-7da5-45aa-bf80-7145ef704229.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/EpistemeAI_Reasoning-Llama-3.1-CoT-RE1-NMT-V2-ORPO/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Reasoning-Llama-3.1-CoT-RE1-NMT-V2-ORPO",
+    "id": "EpistemeAI/Reasoning-Llama-3.1-CoT-RE1-NMT-V2-ORPO",
+    "developer": "EpistemeAI",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4553
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4804
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1292
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.307
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3931
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3598
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/EpistemeAI/Reasoning-Llama-3.1-CoT-RE1-NMT/2662d257-49e2-430d-b44f-b0b347c61271.json b/data/hfopenllm_v2/EpistemeAI/Reasoning-Llama-3.1-CoT-RE1-NMT/2662d257-49e2-430d-b44f-b0b347c61271.json
new file mode 100644
index 000000000..c9e3844b1
--- /dev/null
+++ b/data/hfopenllm_v2/EpistemeAI/Reasoning-Llama-3.1-CoT-RE1-NMT/2662d257-49e2-430d-b44f-b0b347c61271.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/EpistemeAI_Reasoning-Llama-3.1-CoT-RE1-NMT/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Reasoning-Llama-3.1-CoT-RE1-NMT",
+    "id": "EpistemeAI/Reasoning-Llama-3.1-CoT-RE1-NMT",
+    "developer": "EpistemeAI",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4829
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4736
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1299
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2609
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3182
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3343
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/EpistemeAI/Reasoning-Llama-3.2-1B-Instruct-v1.2/3e1fd9a0-a037-4278-baaa-b444d3723557.json b/data/hfopenllm_v2/EpistemeAI/Reasoning-Llama-3.2-1B-Instruct-v1.2/3e1fd9a0-a037-4278-baaa-b444d3723557.json
deleted file mode 100644
index b80d39adf..000000000
--- a/data/hfopenllm_v2/EpistemeAI/Reasoning-Llama-3.2-1B-Instruct-v1.2/3e1fd9a0-a037-4278-baaa-b444d3723557.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/EpistemeAI_Reasoning-Llama-3.2-1B-Instruct-v1.2/1762652579.606377",
-  "retrieved_timestamp": "1762652579.606377",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "EpistemeAI/Reasoning-Llama-3.2-1B-Instruct-v1.2",
-    "developer": "EpistemeAI",
-    "inference_platform": "unknown",
-    "id": "EpistemeAI/Reasoning-Llama-3.2-1B-Instruct-v1.2",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 1.236
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.40871443325930756
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
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-      "score_details": {
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-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-    {
-      "evaluation_name": "MMLU-PRO",
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-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
-        "score": 0.11785239361702128
-      }
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-}
diff --git a/data/hfopenllm_v2/EpistemeAI/Reasoning-Llama-3.2-1B-Instruct-v1.2/870b639b-ee7a-4b13-872b-52657539c836.json b/data/hfopenllm_v2/EpistemeAI/Reasoning-Llama-3.2-1B-Instruct-v1.2/870b639b-ee7a-4b13-872b-52657539c836.json
new file mode 100644
index 000000000..2e9d69e3c
--- /dev/null
+++ b/data/hfopenllm_v2/EpistemeAI/Reasoning-Llama-3.2-1B-Instruct-v1.2/870b639b-ee7a-4b13-872b-52657539c836.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/EpistemeAI_Reasoning-Llama-3.2-1B-Instruct-v1.2/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Reasoning-Llama-3.2-1B-Instruct-v1.2",
+    "id": "EpistemeAI/Reasoning-Llama-3.2-1B-Instruct-v1.2",
+    "developer": "EpistemeAI",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 1.236
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4087
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3324
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0506
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2609
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3222
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1179
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/EpistemeAI/Reasoning-Llama-3.2-1B-Instruct-v1.3/6ff20678-a335-4fa8-8126-9f96ce247f34.json b/data/hfopenllm_v2/EpistemeAI/Reasoning-Llama-3.2-1B-Instruct-v1.3/6ff20678-a335-4fa8-8126-9f96ce247f34.json
new file mode 100644
index 000000000..a23d5fb0b
--- /dev/null
+++ b/data/hfopenllm_v2/EpistemeAI/Reasoning-Llama-3.2-1B-Instruct-v1.3/6ff20678-a335-4fa8-8126-9f96ce247f34.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/EpistemeAI_Reasoning-Llama-3.2-1B-Instruct-v1.3/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Reasoning-Llama-3.2-1B-Instruct-v1.3",
+    "id": "EpistemeAI/Reasoning-Llama-3.2-1B-Instruct-v1.3",
+    "developer": "EpistemeAI",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 1.236
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3273
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3263
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0506
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2584
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.326
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1173
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/EpistemeAI/Reasoning-Llama-3.2-1B-Instruct-v1.3/9c141030-9c3f-4e80-8b97-9297f3d81df6.json b/data/hfopenllm_v2/EpistemeAI/Reasoning-Llama-3.2-1B-Instruct-v1.3/9c141030-9c3f-4e80-8b97-9297f3d81df6.json
deleted file mode 100644
index e75d20542..000000000
--- a/data/hfopenllm_v2/EpistemeAI/Reasoning-Llama-3.2-1B-Instruct-v1.3/9c141030-9c3f-4e80-8b97-9297f3d81df6.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/EpistemeAI_Reasoning-Llama-3.2-1B-Instruct-v1.3/1762652579.606596",
-  "retrieved_timestamp": "1762652579.6065972",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "EpistemeAI/Reasoning-Llama-3.2-1B-Instruct-v1.3",
-    "developer": "EpistemeAI",
-    "inference_platform": "unknown",
-    "id": "EpistemeAI/Reasoning-Llama-3.2-1B-Instruct-v1.3",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 1.236
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3272816127874041
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3262818751942827
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.05060422960725076
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.25838926174496646
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.326
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11727061170212766
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/EpistemeAI/Reasoning-Llama-3.2-3B-Math-Instruct-RE1-ORPO/19c4ea89-896a-4577-a386-c2470eaf743f.json b/data/hfopenllm_v2/EpistemeAI/Reasoning-Llama-3.2-3B-Math-Instruct-RE1-ORPO/19c4ea89-896a-4577-a386-c2470eaf743f.json
new file mode 100644
index 000000000..3b21e4f59
--- /dev/null
+++ b/data/hfopenllm_v2/EpistemeAI/Reasoning-Llama-3.2-3B-Math-Instruct-RE1-ORPO/19c4ea89-896a-4577-a386-c2470eaf743f.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/EpistemeAI_Reasoning-Llama-3.2-3B-Math-Instruct-RE1-ORPO/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Reasoning-Llama-3.2-3B-Math-Instruct-RE1-ORPO",
+    "id": "EpistemeAI/Reasoning-Llama-3.2-3B-Math-Instruct-RE1-ORPO",
+    "developer": "EpistemeAI",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 3.213
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.729
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4518
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1533
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2735
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3487
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.31
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/EpistemeAI/Reasoning-Llama-3.2-3B-Math-Instruct-RE1-ORPO/d09af70f-bb55-40e8-88f2-a78f20c90b8e.json b/data/hfopenllm_v2/EpistemeAI/Reasoning-Llama-3.2-3B-Math-Instruct-RE1-ORPO/d09af70f-bb55-40e8-88f2-a78f20c90b8e.json
deleted file mode 100644
index 415036425..000000000
--- a/data/hfopenllm_v2/EpistemeAI/Reasoning-Llama-3.2-3B-Math-Instruct-RE1-ORPO/d09af70f-bb55-40e8-88f2-a78f20c90b8e.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/EpistemeAI_Reasoning-Llama-3.2-3B-Math-Instruct-RE1-ORPO/1762652579.6070201",
-  "retrieved_timestamp": "1762652579.607021",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "EpistemeAI/Reasoning-Llama-3.2-3B-Math-Instruct-RE1-ORPO",
-    "developer": "EpistemeAI",
-    "inference_platform": "unknown",
-    "id": "EpistemeAI/Reasoning-Llama-3.2-3B-Math-Instruct-RE1-ORPO",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 3.213
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-      "score_details": {
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-      "evaluation_name": "BBH",
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-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-      "score_details": {
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-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
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-        "lower_is_better": false,
-        "score_type": "continuous",
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-    }
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-}
diff --git a/data/hfopenllm_v2/EpistemeAI/Reasoning-Llama-3.2-3B-Math-Instruct-RE1/099d3be6-bd40-416f-90a1-582f66049c54.json b/data/hfopenllm_v2/EpistemeAI/Reasoning-Llama-3.2-3B-Math-Instruct-RE1/099d3be6-bd40-416f-90a1-582f66049c54.json
deleted file mode 100644
index 5f2186554..000000000
--- a/data/hfopenllm_v2/EpistemeAI/Reasoning-Llama-3.2-3B-Math-Instruct-RE1/099d3be6-bd40-416f-90a1-582f66049c54.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/EpistemeAI_Reasoning-Llama-3.2-3B-Math-Instruct-RE1/1762652579.606812",
-  "retrieved_timestamp": "1762652579.606813",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "EpistemeAI/Reasoning-Llama-3.2-3B-Math-Instruct-RE1",
-    "developer": "EpistemeAI",
-    "inference_platform": "unknown",
-    "id": "EpistemeAI/Reasoning-Llama-3.2-3B-Math-Instruct-RE1",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 3.213
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5119538380386264
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.43810846923178864
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.10800604229607251
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.26426174496644295
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.34352083333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2789228723404255
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/EpistemeAI/Reasoning-Llama-3.2-3B-Math-Instruct-RE1/22eb2479-16ff-4a56-b9e4-e8835da7ca0e.json b/data/hfopenllm_v2/EpistemeAI/Reasoning-Llama-3.2-3B-Math-Instruct-RE1/22eb2479-16ff-4a56-b9e4-e8835da7ca0e.json
new file mode 100644
index 000000000..ceb6ab2db
--- /dev/null
+++ b/data/hfopenllm_v2/EpistemeAI/Reasoning-Llama-3.2-3B-Math-Instruct-RE1/22eb2479-16ff-4a56-b9e4-e8835da7ca0e.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/EpistemeAI_Reasoning-Llama-3.2-3B-Math-Instruct-RE1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Reasoning-Llama-3.2-3B-Math-Instruct-RE1",
+    "id": "EpistemeAI/Reasoning-Llama-3.2-3B-Math-Instruct-RE1",
+    "developer": "EpistemeAI",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 3.213
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.512
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4381
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.108
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2643
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3435
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2789
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/EpistemeAI/ReasoningCore-1.0-3B-Instruct-r01-Reflect-Math/03d616a2-9a52-4014-8ecf-94dc93a5b4d2.json b/data/hfopenllm_v2/EpistemeAI/ReasoningCore-1.0-3B-Instruct-r01-Reflect-Math/03d616a2-9a52-4014-8ecf-94dc93a5b4d2.json
deleted file mode 100644
index 07c4a89e3..000000000
--- a/data/hfopenllm_v2/EpistemeAI/ReasoningCore-1.0-3B-Instruct-r01-Reflect-Math/03d616a2-9a52-4014-8ecf-94dc93a5b4d2.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/EpistemeAI_ReasoningCore-1.0-3B-Instruct-r01-Reflect-Math/1762652579.60724",
-  "retrieved_timestamp": "1762652579.607241",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "EpistemeAI/ReasoningCore-1.0-3B-Instruct-r01-Reflect-Math",
-    "developer": "EpistemeAI",
-    "inference_platform": "unknown",
-    "id": "EpistemeAI/ReasoningCore-1.0-3B-Instruct-r01-Reflect-Math",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 3.213
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5902893212232432
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.436379591348482
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.14803625377643503
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2600671140939597
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3314270833333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.28233045212765956
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/EpistemeAI/ReasoningCore-1.0-3B-Instruct-r01-Reflect-Math/aca3f1fd-9c46-47f6-81c6-dc56a702c1de.json b/data/hfopenllm_v2/EpistemeAI/ReasoningCore-1.0-3B-Instruct-r01-Reflect-Math/aca3f1fd-9c46-47f6-81c6-dc56a702c1de.json
new file mode 100644
index 000000000..3c0a3ed67
--- /dev/null
+++ b/data/hfopenllm_v2/EpistemeAI/ReasoningCore-1.0-3B-Instruct-r01-Reflect-Math/aca3f1fd-9c46-47f6-81c6-dc56a702c1de.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/EpistemeAI_ReasoningCore-1.0-3B-Instruct-r01-Reflect-Math/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "ReasoningCore-1.0-3B-Instruct-r01-Reflect-Math",
+    "id": "EpistemeAI/ReasoningCore-1.0-3B-Instruct-r01-Reflect-Math",
+    "developer": "EpistemeAI",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 3.213
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5903
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4364
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.148
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2601
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3314
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2823
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/EpistemeAI/ReasoningCore-3B-0/071ca686-5950-4af4-80f2-969b1008e370.json b/data/hfopenllm_v2/EpistemeAI/ReasoningCore-3B-0/071ca686-5950-4af4-80f2-969b1008e370.json
new file mode 100644
index 000000000..da61c8f6c
--- /dev/null
+++ b/data/hfopenllm_v2/EpistemeAI/ReasoningCore-3B-0/071ca686-5950-4af4-80f2-969b1008e370.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/EpistemeAI_ReasoningCore-3B-0/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "ReasoningCore-3B-0",
+    "id": "EpistemeAI/ReasoningCore-3B-0",
+    "developer": "EpistemeAI",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 3.213
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7341
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4446
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1586
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2727
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3554
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3172
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/EpistemeAI/ReasoningCore-3B-0/9835468b-c049-4562-8633-864d29c7bb75.json b/data/hfopenllm_v2/EpistemeAI/ReasoningCore-3B-0/9835468b-c049-4562-8633-864d29c7bb75.json
deleted file mode 100644
index b37e72087..000000000
--- a/data/hfopenllm_v2/EpistemeAI/ReasoningCore-3B-0/9835468b-c049-4562-8633-864d29c7bb75.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/EpistemeAI_ReasoningCore-3B-0/1762652579.60745",
-  "retrieved_timestamp": "1762652579.60745",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "EpistemeAI/ReasoningCore-3B-0",
-    "developer": "EpistemeAI",
-    "inference_platform": "unknown",
-    "id": "EpistemeAI/ReasoningCore-3B-0",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 3.213
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7341454008696924
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.44460707451155984
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.15861027190332325
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2726510067114094
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.35539583333333336
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3172373670212766
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/EpistemeAI/ReasoningCore-3B-Instruct-r01-Reflect/78977c34-33f8-4037-86e0-dfce1d01c3f8.json b/data/hfopenllm_v2/EpistemeAI/ReasoningCore-3B-Instruct-r01-Reflect/78977c34-33f8-4037-86e0-dfce1d01c3f8.json
new file mode 100644
index 000000000..99bcceb57
--- /dev/null
+++ b/data/hfopenllm_v2/EpistemeAI/ReasoningCore-3B-Instruct-r01-Reflect/78977c34-33f8-4037-86e0-dfce1d01c3f8.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/EpistemeAI_ReasoningCore-3B-Instruct-r01-Reflect/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "ReasoningCore-3B-Instruct-r01-Reflect",
+    "id": "EpistemeAI/ReasoningCore-3B-Instruct-r01-Reflect",
+    "developer": "EpistemeAI",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 3.213
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7335
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.445
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1541
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2735
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3527
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3144
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/EpistemeAI/ReasoningCore-3B-Instruct-r01-Reflect/b3efb02e-5312-48cf-b9e9-e90d3d5d9a7d.json b/data/hfopenllm_v2/EpistemeAI/ReasoningCore-3B-Instruct-r01-Reflect/b3efb02e-5312-48cf-b9e9-e90d3d5d9a7d.json
deleted file mode 100644
index abc3d326f..000000000
--- a/data/hfopenllm_v2/EpistemeAI/ReasoningCore-3B-Instruct-r01-Reflect/b3efb02e-5312-48cf-b9e9-e90d3d5d9a7d.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/EpistemeAI_ReasoningCore-3B-Instruct-r01-Reflect/1762652579.607657",
-  "retrieved_timestamp": "1762652579.607658",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "EpistemeAI/ReasoningCore-3B-Instruct-r01-Reflect",
-    "developer": "EpistemeAI",
-    "inference_platform": "unknown",
-    "id": "EpistemeAI/ReasoningCore-3B-Instruct-r01-Reflect",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 3.213
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7334960128015887
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.44496323889512146
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1540785498489426
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.27348993288590606
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3527291666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.31441156914893614
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/EpistemeAI/ReasoningCore-3B-R01/480e4294-c8d9-4088-9b8c-7a239d57f683.json b/data/hfopenllm_v2/EpistemeAI/ReasoningCore-3B-R01/480e4294-c8d9-4088-9b8c-7a239d57f683.json
new file mode 100644
index 000000000..78ed2cc8e
--- /dev/null
+++ b/data/hfopenllm_v2/EpistemeAI/ReasoningCore-3B-R01/480e4294-c8d9-4088-9b8c-7a239d57f683.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/EpistemeAI_ReasoningCore-3B-R01/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "ReasoningCore-3B-R01",
+    "id": "EpistemeAI/ReasoningCore-3B-R01",
+    "developer": "EpistemeAI",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 3.213
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2976
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4373
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1299
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2609
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3195
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2591
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/EpistemeAI/ReasoningCore-3B-R01/5b06f64a-5c31-457e-a414-00e35888a6b2.json b/data/hfopenllm_v2/EpistemeAI/ReasoningCore-3B-R01/5b06f64a-5c31-457e-a414-00e35888a6b2.json
deleted file mode 100644
index 37f4ad1d2..000000000
--- a/data/hfopenllm_v2/EpistemeAI/ReasoningCore-3B-R01/5b06f64a-5c31-457e-a414-00e35888a6b2.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/EpistemeAI_ReasoningCore-3B-R01/1762652579.607871",
-  "retrieved_timestamp": "1762652579.607872",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "EpistemeAI/ReasoningCore-3B-R01",
-    "developer": "EpistemeAI",
-    "inference_platform": "unknown",
-    "id": "EpistemeAI/ReasoningCore-3B-R01",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 3.213
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.29760590787998065
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.43725189001258497
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1299093655589124
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2609060402684564
-      }
-    },
-    {
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diff --git a/data/hfopenllm_v2/EpistemeAI/ReasoningCore-3B-RE1-V2/83b3c488-c210-4ce7-8f7f-75d0d04d5b02.json b/data/hfopenllm_v2/EpistemeAI/ReasoningCore-3B-RE1-V2/83b3c488-c210-4ce7-8f7f-75d0d04d5b02.json
deleted file mode 100644
index aefb4a3cb..000000000
--- a/data/hfopenllm_v2/EpistemeAI/ReasoningCore-3B-RE1-V2/83b3c488-c210-4ce7-8f7f-75d0d04d5b02.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/EpistemeAI_ReasoningCore-3B-RE1-V2/1762652579.6080902",
-  "retrieved_timestamp": "1762652579.6080909",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "EpistemeAI/ReasoningCore-3B-RE1-V2",
-    "developer": "EpistemeAI",
-    "inference_platform": "unknown",
-    "id": "EpistemeAI/ReasoningCore-3B-RE1-V2",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 3.213
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7393161256576994
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.27348993288590606
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3540625
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.31806848404255317
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/EpistemeAI/ReasoningCore-3B-RE1-V2/be9b21e8-90ce-451a-bcaf-2ebc7c72bc34.json b/data/hfopenllm_v2/EpistemeAI/ReasoningCore-3B-RE1-V2/be9b21e8-90ce-451a-bcaf-2ebc7c72bc34.json
new file mode 100644
index 000000000..a387e5176
--- /dev/null
+++ b/data/hfopenllm_v2/EpistemeAI/ReasoningCore-3B-RE1-V2/be9b21e8-90ce-451a-bcaf-2ebc7c72bc34.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/EpistemeAI_ReasoningCore-3B-RE1-V2/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "ReasoningCore-3B-RE1-V2",
+    "id": "EpistemeAI/ReasoningCore-3B-RE1-V2",
+    "developer": "EpistemeAI",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 3.213
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7393
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4462
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1563
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2735
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3541
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3181
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/EpistemeAI/ReasoningCore-3B-RE1-V2A/512a09c1-6c1c-4120-a659-91809607393a.json b/data/hfopenllm_v2/EpistemeAI/ReasoningCore-3B-RE1-V2A/512a09c1-6c1c-4120-a659-91809607393a.json
deleted file mode 100644
index e37c93585..000000000
--- a/data/hfopenllm_v2/EpistemeAI/ReasoningCore-3B-RE1-V2A/512a09c1-6c1c-4120-a659-91809607393a.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/EpistemeAI_ReasoningCore-3B-RE1-V2A/1762652579.608308",
-  "retrieved_timestamp": "1762652579.608309",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "EpistemeAI/ReasoningCore-3B-RE1-V2A",
-    "developer": "EpistemeAI",
-    "inference_platform": "unknown",
-    "id": "EpistemeAI/ReasoningCore-3B-RE1-V2A",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 3.213
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
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-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.09290030211480363
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.27768456375838924
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.33520833333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2736037234042553
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/EpistemeAI/ReasoningCore-3B-RE1-V2A/b0054dd8-e62c-4d0c-9b18-090851c3a7e2.json b/data/hfopenllm_v2/EpistemeAI/ReasoningCore-3B-RE1-V2A/b0054dd8-e62c-4d0c-9b18-090851c3a7e2.json
new file mode 100644
index 000000000..6f4873443
--- /dev/null
+++ b/data/hfopenllm_v2/EpistemeAI/ReasoningCore-3B-RE1-V2A/b0054dd8-e62c-4d0c-9b18-090851c3a7e2.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/EpistemeAI_ReasoningCore-3B-RE1-V2A/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "ReasoningCore-3B-RE1-V2A",
+    "id": "EpistemeAI/ReasoningCore-3B-RE1-V2A",
+    "developer": "EpistemeAI",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 3.213
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5733
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.419
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0929
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2777
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3352
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2736
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/EpistemeAI/ReasoningCore-3B-RE1-V2B/985e479b-658a-4548-9b5e-c9c04b8838c1.json b/data/hfopenllm_v2/EpistemeAI/ReasoningCore-3B-RE1-V2B/985e479b-658a-4548-9b5e-c9c04b8838c1.json
new file mode 100644
index 000000000..21879ed27
--- /dev/null
+++ b/data/hfopenllm_v2/EpistemeAI/ReasoningCore-3B-RE1-V2B/985e479b-658a-4548-9b5e-c9c04b8838c1.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/EpistemeAI_ReasoningCore-3B-RE1-V2B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "ReasoningCore-3B-RE1-V2B",
+    "id": "EpistemeAI/ReasoningCore-3B-RE1-V2B",
+    "developer": "EpistemeAI",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 3.213
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5051
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4168
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1073
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2617
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3448
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "max_score": 1.0
+      },
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+        "score": 0.2673
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/EpistemeAI/ReasoningCore-3B-RE1-V2B/f92ef151-aa21-4240-8de6-1ff04bec55d9.json b/data/hfopenllm_v2/EpistemeAI/ReasoningCore-3B-RE1-V2B/f92ef151-aa21-4240-8de6-1ff04bec55d9.json
deleted file mode 100644
index d31bfbb8d..000000000
--- a/data/hfopenllm_v2/EpistemeAI/ReasoningCore-3B-RE1-V2B/f92ef151-aa21-4240-8de6-1ff04bec55d9.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
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-  "model_info": {
-    "name": "EpistemeAI/ReasoningCore-3B-RE1-V2B",
-    "developer": "EpistemeAI",
-    "inference_platform": "unknown",
-    "id": "EpistemeAI/ReasoningCore-3B-RE1-V2B",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
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-      "metric_config": {
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-      "evaluation_name": "MATH Level 5",
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-        "lower_is_better": false,
-        "score_type": "continuous",
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-        "lower_is_better": false,
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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diff --git a/data/hfopenllm_v2/EpistemeAI/ReasoningCore-3B-RE1-V2C/88cb3df4-7cbb-440a-87d4-9b2a89f3572c.json b/data/hfopenllm_v2/EpistemeAI/ReasoningCore-3B-RE1-V2C/88cb3df4-7cbb-440a-87d4-9b2a89f3572c.json
deleted file mode 100644
index 10c9d18ca..000000000
--- a/data/hfopenllm_v2/EpistemeAI/ReasoningCore-3B-RE1-V2C/88cb3df4-7cbb-440a-87d4-9b2a89f3572c.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
-    "name": "EpistemeAI/ReasoningCore-3B-RE1-V2C",
-    "developer": "EpistemeAI",
-    "inference_platform": "unknown",
-    "id": "EpistemeAI/ReasoningCore-3B-RE1-V2C",
-    "additional_details": {
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-      "architecture": "LlamaForCausalLM",
-      "params_billions": 3.213
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-    {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
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-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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diff --git a/data/hfopenllm_v2/EpistemeAI/ReasoningCore-3B-RE1-V2C/d0ef8af4-156d-456d-9e33-b2cdb3f8c04e.json b/data/hfopenllm_v2/EpistemeAI/ReasoningCore-3B-RE1-V2C/d0ef8af4-156d-456d-9e33-b2cdb3f8c04e.json
new file mode 100644
index 000000000..abce8ee39
--- /dev/null
+++ b/data/hfopenllm_v2/EpistemeAI/ReasoningCore-3B-RE1-V2C/d0ef8af4-156d-456d-9e33-b2cdb3f8c04e.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/EpistemeAI_ReasoningCore-3B-RE1-V2C/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "ReasoningCore-3B-RE1-V2C",
+    "id": "EpistemeAI/ReasoningCore-3B-RE1-V2C",
+    "developer": "EpistemeAI",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 3.213
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5057
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4177
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0974
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2609
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3422
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2691
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/EpistemeAI/ReasoningCore-3B-T1-V1/5050c787-2f95-4a17-a4b0-c094860627b5.json b/data/hfopenllm_v2/EpistemeAI/ReasoningCore-3B-T1-V1/5050c787-2f95-4a17-a4b0-c094860627b5.json
new file mode 100644
index 000000000..e1a337bdd
--- /dev/null
+++ b/data/hfopenllm_v2/EpistemeAI/ReasoningCore-3B-T1-V1/5050c787-2f95-4a17-a4b0-c094860627b5.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/EpistemeAI_ReasoningCore-3B-T1-V1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "ReasoningCore-3B-T1-V1",
+    "id": "EpistemeAI/ReasoningCore-3B-T1-V1",
+    "developer": "EpistemeAI",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 3.213
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7208
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4517
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1458
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.276
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.354
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.312
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/EpistemeAI/ReasoningCore-3B-T1-V1/ec3846e6-d111-4c77-93fb-8d1d8106271a.json b/data/hfopenllm_v2/EpistemeAI/ReasoningCore-3B-T1-V1/ec3846e6-d111-4c77-93fb-8d1d8106271a.json
deleted file mode 100644
index 68556657c..000000000
--- a/data/hfopenllm_v2/EpistemeAI/ReasoningCore-3B-T1-V1/ec3846e6-d111-4c77-93fb-8d1d8106271a.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/EpistemeAI_ReasoningCore-3B-T1-V1/1762652579.609117",
-  "retrieved_timestamp": "1762652579.609117",
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-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "EpistemeAI/ReasoningCore-3B-T1-V1",
-    "developer": "EpistemeAI",
-    "inference_platform": "unknown",
-    "id": "EpistemeAI/ReasoningCore-3B-T1-V1",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 3.213
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
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-        "max_score": 1
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-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-      },
-      "score_details": {
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.276006711409396
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.35403125
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.31200132978723405
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/EpistemeAI/ReasoningCore-3B-T1_1/bb5c8274-4324-47f2-94c5-d0c831ce0de7.json b/data/hfopenllm_v2/EpistemeAI/ReasoningCore-3B-T1_1/bb5c8274-4324-47f2-94c5-d0c831ce0de7.json
new file mode 100644
index 000000000..a3f8f7216
--- /dev/null
+++ b/data/hfopenllm_v2/EpistemeAI/ReasoningCore-3B-T1_1/bb5c8274-4324-47f2-94c5-d0c831ce0de7.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/EpistemeAI_ReasoningCore-3B-T1_1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "ReasoningCore-3B-T1_1",
+    "id": "EpistemeAI/ReasoningCore-3B-T1_1",
+    "developer": "EpistemeAI",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 3.213
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7275
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4524
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1541
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.276
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3554
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3117
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/EpistemeAI/ReasoningCore-3B-T1_1/ce5a0509-e68c-40f4-8b7b-c56ba90c0e10.json b/data/hfopenllm_v2/EpistemeAI/ReasoningCore-3B-T1_1/ce5a0509-e68c-40f4-8b7b-c56ba90c0e10.json
deleted file mode 100644
index b3ce5d61d..000000000
--- a/data/hfopenllm_v2/EpistemeAI/ReasoningCore-3B-T1_1/ce5a0509-e68c-40f4-8b7b-c56ba90c0e10.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/EpistemeAI_ReasoningCore-3B-T1_1/1762652579.609335",
-  "retrieved_timestamp": "1762652579.6093361",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "EpistemeAI/ReasoningCore-3B-T1_1",
-    "developer": "EpistemeAI",
-    "inference_platform": "unknown",
-    "id": "EpistemeAI/ReasoningCore-3B-T1_1",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 3.213
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7274509412802475
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.45239424517060806
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1540785498489426
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.276006711409396
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3553645833333334
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3116688829787234
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/EpistemeAI2/Athene-codegemma-2-7b-it-alpaca-v1.2/8113a26a-5941-4f3d-872a-bdde5456ad97.json b/data/hfopenllm_v2/EpistemeAI2/Athene-codegemma-2-7b-it-alpaca-v1.2/8113a26a-5941-4f3d-872a-bdde5456ad97.json
new file mode 100644
index 000000000..18f691dc4
--- /dev/null
+++ b/data/hfopenllm_v2/EpistemeAI2/Athene-codegemma-2-7b-it-alpaca-v1.2/8113a26a-5941-4f3d-872a-bdde5456ad97.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/EpistemeAI2_Athene-codegemma-2-7b-it-alpaca-v1.2/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Athene-codegemma-2-7b-it-alpaca-v1.2",
+    "id": "EpistemeAI2/Athene-codegemma-2-7b-it-alpaca-v1.2",
+    "developer": "EpistemeAI2",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "GemmaForCausalLM",
+      "params_billions": 7.0
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4351
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4175
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0423
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.271
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.417
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2297
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/EpistemeAI2/Fireball-12B-v1.2/5b60047b-2e85-4a47-a31f-4c07f4bd2c30.json b/data/hfopenllm_v2/EpistemeAI2/Fireball-12B-v1.2/5b60047b-2e85-4a47-a31f-4c07f4bd2c30.json
new file mode 100644
index 000000000..8a14100ea
--- /dev/null
+++ b/data/hfopenllm_v2/EpistemeAI2/Fireball-12B-v1.2/5b60047b-2e85-4a47-a31f-4c07f4bd2c30.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/EpistemeAI2_Fireball-12B-v1.2/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Fireball-12B-v1.2",
+    "id": "EpistemeAI2/Fireball-12B-v1.2",
+    "developer": "EpistemeAI2",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 12.0
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1355
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5019
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0415
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2987
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4173
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3337
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/EpistemeAI2/Fireball-12B-v1.2/de86ca37-ffcb-41df-a0d1-68cb545ec1de.json b/data/hfopenllm_v2/EpistemeAI2/Fireball-12B-v1.2/de86ca37-ffcb-41df-a0d1-68cb545ec1de.json
deleted file mode 100644
index 213b9399a..000000000
--- a/data/hfopenllm_v2/EpistemeAI2/Fireball-12B-v1.2/de86ca37-ffcb-41df-a0d1-68cb545ec1de.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/EpistemeAI2_Fireball-12B-v1.2/1762652579.609813",
-  "retrieved_timestamp": "1762652579.609814",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "EpistemeAI2/Fireball-12B-v1.2",
-    "developer": "EpistemeAI2",
-    "inference_platform": "unknown",
-    "id": "EpistemeAI2/Fireball-12B-v1.2",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 12.0
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.13553925805750963
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5018583230653281
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.04154078549848943
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2986577181208054
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4173125
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.33369348404255317
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/EpistemeAI2/Fireball-Alpaca-Llama3.1-8B-Philos/88d79858-3a35-43eb-8da6-95b80b5deef6.json b/data/hfopenllm_v2/EpistemeAI2/Fireball-Alpaca-Llama3.1-8B-Philos/88d79858-3a35-43eb-8da6-95b80b5deef6.json
new file mode 100644
index 000000000..1fef1a4b8
--- /dev/null
+++ b/data/hfopenllm_v2/EpistemeAI2/Fireball-Alpaca-Llama3.1-8B-Philos/88d79858-3a35-43eb-8da6-95b80b5deef6.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/EpistemeAI2_Fireball-Alpaca-Llama3.1-8B-Philos/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
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diff --git a/data/hfopenllm_v2/EpistemeAI2/Fireball-Alpaca-Llama3.1.01-8B-Philos/63266a49-01ea-40f1-83ef-778f391aff2b.json b/data/hfopenllm_v2/EpistemeAI2/Fireball-Alpaca-Llama3.1.01-8B-Philos/63266a49-01ea-40f1-83ef-778f391aff2b.json
new file mode 100644
index 000000000..81024bca2
--- /dev/null
+++ b/data/hfopenllm_v2/EpistemeAI2/Fireball-Alpaca-Llama3.1.01-8B-Philos/63266a49-01ea-40f1-83ef-778f391aff2b.json
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diff --git a/data/hfopenllm_v2/EpistemeAI2/Fireball-Alpaca-Llama3.1.03-8B-Philos/f0da069a-833f-489a-a923-c79542a3a9a6.json b/data/hfopenllm_v2/EpistemeAI2/Fireball-Alpaca-Llama3.1.03-8B-Philos/f0da069a-833f-489a-a923-c79542a3a9a6.json
new file mode 100644
index 000000000..b979e6ad4
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diff --git a/data/hfopenllm_v2/EpistemeAI2/Fireball-Alpaca-Llama3.1.04-8B-Philos/205b9da8-d561-41ec-946e-1d2f9a43e437.json b/data/hfopenllm_v2/EpistemeAI2/Fireball-Alpaca-Llama3.1.04-8B-Philos/205b9da8-d561-41ec-946e-1d2f9a43e437.json
new file mode 100644
index 000000000..d4d82fcc6
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diff --git a/data/hfopenllm_v2/EpistemeAI2/Fireball-Alpaca-Llama3.1.06-8B-Philos-dpo/2ea4da56-4b95-4222-a4e2-f57c73e0ee4e.json b/data/hfopenllm_v2/EpistemeAI2/Fireball-Alpaca-Llama3.1.06-8B-Philos-dpo/2ea4da56-4b95-4222-a4e2-f57c73e0ee4e.json
new file mode 100644
index 000000000..e5118311f
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+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/EpistemeAI2/Fireball-Alpaca-Llama3.1.06-8B-Philos-dpo/7e03e547-5324-4c5d-b364-413014fad7eb.json b/data/hfopenllm_v2/EpistemeAI2/Fireball-Alpaca-Llama3.1.06-8B-Philos-dpo/7e03e547-5324-4c5d-b364-413014fad7eb.json
deleted file mode 100644
index 6bc7475c7..000000000
--- a/data/hfopenllm_v2/EpistemeAI2/Fireball-Alpaca-Llama3.1.06-8B-Philos-dpo/7e03e547-5324-4c5d-b364-413014fad7eb.json
+++ /dev/null
@@ -1,105 +0,0 @@
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-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-    "developer": "EpistemeAI2",
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diff --git a/data/hfopenllm_v2/EpistemeAI2/Fireball-Alpaca-Llama3.1.07-8B-Philos-Math/c086f693-cef1-4212-9c17-669b210f4caa.json b/data/hfopenllm_v2/EpistemeAI2/Fireball-Alpaca-Llama3.1.07-8B-Philos-Math/c086f693-cef1-4212-9c17-669b210f4caa.json
new file mode 100644
index 000000000..a1b7ae3fb
--- /dev/null
+++ b/data/hfopenllm_v2/EpistemeAI2/Fireball-Alpaca-Llama3.1.07-8B-Philos-Math/c086f693-cef1-4212-9c17-669b210f4caa.json
@@ -0,0 +1,132 @@
+{
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+  "evaluation_id": "hfopenllm_v2/EpistemeAI2_Fireball-Alpaca-Llama3.1.07-8B-Philos-Math/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Fireball-Alpaca-Llama3.1.07-8B-Philos-Math",
+    "id": "EpistemeAI2/Fireball-Alpaca-Llama3.1.07-8B-Philos-Math",
+    "developer": "EpistemeAI2",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.0
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
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+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "max_score": 1.0
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+    },
+    {
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+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/EpistemeAI2/Fireball-Alpaca-Llama3.1.08-8B-C-R1-KTO-Reflection/290995f2-9982-4f29-ac74-dc646905206c.json b/data/hfopenllm_v2/EpistemeAI2/Fireball-Alpaca-Llama3.1.08-8B-C-R1-KTO-Reflection/290995f2-9982-4f29-ac74-dc646905206c.json
new file mode 100644
index 000000000..83634a0a2
--- /dev/null
+++ b/data/hfopenllm_v2/EpistemeAI2/Fireball-Alpaca-Llama3.1.08-8B-C-R1-KTO-Reflection/290995f2-9982-4f29-ac74-dc646905206c.json
@@ -0,0 +1,132 @@
+{
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+  "evaluation_id": "hfopenllm_v2/EpistemeAI2_Fireball-Alpaca-Llama3.1.08-8B-C-R1-KTO-Reflection/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
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+    "name": "Fireball-Alpaca-Llama3.1.08-8B-C-R1-KTO-Reflection",
+    "id": "EpistemeAI2/Fireball-Alpaca-Llama3.1.08-8B-C-R1-KTO-Reflection",
+    "developer": "EpistemeAI2",
+    "inference_platform": "unknown",
+    "additional_details": {
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+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.0
+    }
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+  "evaluation_results": [
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+      "source_data": {
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+        "source_type": "hf_dataset",
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+      },
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+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+    },
+    {
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+      "source_data": {
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+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+    },
+    {
+      "evaluation_name": "MATH Level 5",
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
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+        "hf_repo": "TAUR-Lab/MuSR"
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+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
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+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
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+        "max_score": 1.0
+      },
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+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/EpistemeAI2/Fireball-Alpaca-Llama3.1.08-8B-Philos-C-R1/c60e65e6-d771-4c53-80d0-c1e09aa39377.json b/data/hfopenllm_v2/EpistemeAI2/Fireball-Alpaca-Llama3.1.08-8B-Philos-C-R1/c60e65e6-d771-4c53-80d0-c1e09aa39377.json
new file mode 100644
index 000000000..caf84f694
--- /dev/null
+++ b/data/hfopenllm_v2/EpistemeAI2/Fireball-Alpaca-Llama3.1.08-8B-Philos-C-R1/c60e65e6-d771-4c53-80d0-c1e09aa39377.json
@@ -0,0 +1,132 @@
+{
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+  "evaluation_id": "hfopenllm_v2/EpistemeAI2_Fireball-Alpaca-Llama3.1.08-8B-Philos-C-R1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Fireball-Alpaca-Llama3.1.08-8B-Philos-C-R1",
+    "id": "EpistemeAI2/Fireball-Alpaca-Llama3.1.08-8B-Philos-C-R1",
+    "developer": "EpistemeAI2",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.0
+    }
+  },
+  "evaluation_results": [
+    {
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+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
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+        "max_score": 1.0
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+        "hf_repo": "Idavidrein/gpqa"
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+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+    {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/EpistemeAI2/Fireball-Llama-3.1-8B-Philos-Reflection/fcff202d-3b4f-4ba9-b3f6-1122d8abcac1.json b/data/hfopenllm_v2/EpistemeAI2/Fireball-Llama-3.1-8B-Philos-Reflection/fcff202d-3b4f-4ba9-b3f6-1122d8abcac1.json
new file mode 100644
index 000000000..cbd4f8177
--- /dev/null
+++ b/data/hfopenllm_v2/EpistemeAI2/Fireball-Llama-3.1-8B-Philos-Reflection/fcff202d-3b4f-4ba9-b3f6-1122d8abcac1.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/EpistemeAI2_Fireball-Llama-3.1-8B-Philos-Reflection/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Fireball-Llama-3.1-8B-Philos-Reflection",
+    "id": "EpistemeAI2/Fireball-Llama-3.1-8B-Philos-Reflection",
+    "developer": "EpistemeAI2",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.0
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3596
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4898
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1284
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3079
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3957
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3551
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/EpistemeAI2/Fireball-MathMistral-Nemo-Base-2407-v2dpo/5f0fa37a-e829-402b-b2ab-c68ffa248b6e.json b/data/hfopenllm_v2/EpistemeAI2/Fireball-MathMistral-Nemo-Base-2407-v2dpo/5f0fa37a-e829-402b-b2ab-c68ffa248b6e.json
new file mode 100644
index 000000000..a3f2cd9b8
--- /dev/null
+++ b/data/hfopenllm_v2/EpistemeAI2/Fireball-MathMistral-Nemo-Base-2407-v2dpo/5f0fa37a-e829-402b-b2ab-c68ffa248b6e.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/EpistemeAI2_Fireball-MathMistral-Nemo-Base-2407-v2dpo/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Fireball-MathMistral-Nemo-Base-2407-v2dpo",
+    "id": "EpistemeAI2/Fireball-MathMistral-Nemo-Base-2407-v2dpo",
+    "developer": "EpistemeAI2",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 11.58
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3097
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4328
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.037
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2634
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.403
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1148
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/EpistemeAI2/Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.003-128K-code-math/0115907a-a473-4f12-8f0b-5dafd729fc44.json b/data/hfopenllm_v2/EpistemeAI2/Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.003-128K-code-math/0115907a-a473-4f12-8f0b-5dafd729fc44.json
deleted file mode 100644
index 5d197337c..000000000
--- a/data/hfopenllm_v2/EpistemeAI2/Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.003-128K-code-math/0115907a-a473-4f12-8f0b-5dafd729fc44.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/EpistemeAI2_Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.003-128K-code-math/1762652579.61236",
-  "retrieved_timestamp": "1762652579.612361",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "EpistemeAI2/Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.003-128K-code-math",
-    "developer": "EpistemeAI2",
-    "inference_platform": "unknown",
-    "id": "EpistemeAI2/Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.003-128K-code-math",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.0
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5515465631191904
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.48075580310342053
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1351963746223565
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30453020134228187
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.36925
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3420046542553192
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/EpistemeAI2/Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.003-128K-code-math/a0b4a345-3530-4da2-8403-87259bbd1405.json b/data/hfopenllm_v2/EpistemeAI2/Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.003-128K-code-math/a0b4a345-3530-4da2-8403-87259bbd1405.json
new file mode 100644
index 000000000..fe44332dd
--- /dev/null
+++ b/data/hfopenllm_v2/EpistemeAI2/Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.003-128K-code-math/a0b4a345-3530-4da2-8403-87259bbd1405.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/EpistemeAI2_Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.003-128K-code-math/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.003-128K-code-math",
+    "id": "EpistemeAI2/Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.003-128K-code-math",
+    "developer": "EpistemeAI2",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.0
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5515
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4808
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1352
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3045
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3693
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.342
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/EpistemeAI2/Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.005-128K-code-COT/3548f0ea-f3ab-4a0e-9c77-5ae62014ed44.json b/data/hfopenllm_v2/EpistemeAI2/Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.005-128K-code-COT/3548f0ea-f3ab-4a0e-9c77-5ae62014ed44.json
new file mode 100644
index 000000000..0ddafa271
--- /dev/null
+++ b/data/hfopenllm_v2/EpistemeAI2/Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.005-128K-code-COT/3548f0ea-f3ab-4a0e-9c77-5ae62014ed44.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/EpistemeAI2_Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.005-128K-code-COT/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.005-128K-code-COT",
+    "id": "EpistemeAI2/Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.005-128K-code-COT",
+    "developer": "EpistemeAI2",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.0
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4633
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4791
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1171
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3121
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3774
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3565
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/EpistemeAI2/Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.005-128K-code-COT/63b6d34d-1a59-40b6-b663-1d81544867f2.json b/data/hfopenllm_v2/EpistemeAI2/Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.005-128K-code-COT/63b6d34d-1a59-40b6-b663-1d81544867f2.json
deleted file mode 100644
index a936a91fd..000000000
--- a/data/hfopenllm_v2/EpistemeAI2/Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.005-128K-code-COT/63b6d34d-1a59-40b6-b663-1d81544867f2.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/EpistemeAI2/Fireball-Phi-3-medium-4k-inst-Philos/707270e3-334b-4eba-84c0-2795ae53d79a.json b/data/hfopenllm_v2/EpistemeAI2/Fireball-Phi-3-medium-4k-inst-Philos/707270e3-334b-4eba-84c0-2795ae53d79a.json
new file mode 100644
index 000000000..6b5e01456
--- /dev/null
+++ b/data/hfopenllm_v2/EpistemeAI2/Fireball-Phi-3-medium-4k-inst-Philos/707270e3-334b-4eba-84c0-2795ae53d79a.json
@@ -0,0 +1,132 @@
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+  "source_metadata": {
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+    "source_type": "documentation",
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+    "name": "Fireball-Phi-3-medium-4k-inst-Philos",
+    "id": "EpistemeAI2/Fireball-Phi-3-medium-4k-inst-Philos",
+    "developer": "EpistemeAI2",
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+        "hf_repo": "TIGER-Lab/MMLU-Pro"
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Eric111/CatunaMayo-DPO/c827bee3-a181-42bc-9387-ca132d59c8ba.json b/data/hfopenllm_v2/Eric111/CatunaMayo-DPO/c827bee3-a181-42bc-9387-ca132d59c8ba.json
new file mode 100644
index 000000000..f742caff8
--- /dev/null
+++ b/data/hfopenllm_v2/Eric111/CatunaMayo-DPO/c827bee3-a181-42bc-9387-ca132d59c8ba.json
@@ -0,0 +1,132 @@
+{
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+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
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+  "model_info": {
+    "name": "CatunaMayo-DPO",
+    "id": "Eric111/CatunaMayo-DPO",
+    "developer": "Eric111",
+    "inference_platform": "unknown",
+    "additional_details": {
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+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
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+  "evaluation_results": [
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+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
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+        "hf_repo": "TAUR-Lab/MuSR"
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Eric111/CatunaMayo-DPO/ef63850d-6acf-4d04-ac01-7ac407bf3b89.json b/data/hfopenllm_v2/Eric111/CatunaMayo-DPO/ef63850d-6acf-4d04-ac01-7ac407bf3b89.json
deleted file mode 100644
index 449172282..000000000
--- a/data/hfopenllm_v2/Eric111/CatunaMayo-DPO/ef63850d-6acf-4d04-ac01-7ac407bf3b89.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/Eric111/CatunaMayo/9c2ab331-44f5-4306-a57c-5ddb0154ba63.json b/data/hfopenllm_v2/Eric111/CatunaMayo/9c2ab331-44f5-4306-a57c-5ddb0154ba63.json
deleted file mode 100644
index 08af3256d..000000000
--- a/data/hfopenllm_v2/Eric111/CatunaMayo/9c2ab331-44f5-4306-a57c-5ddb0154ba63.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/Eric111_CatunaMayo/1762652579.613048",
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diff --git a/data/hfopenllm_v2/Eric111/CatunaMayo/d3e8949b-f6f8-459f-891b-f4900ff806cd.json b/data/hfopenllm_v2/Eric111/CatunaMayo/d3e8949b-f6f8-459f-891b-f4900ff806cd.json
new file mode 100644
index 000000000..5cbeab7ab
--- /dev/null
+++ b/data/hfopenllm_v2/Eric111/CatunaMayo/d3e8949b-f6f8-459f-891b-f4900ff806cd.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Eric111_CatunaMayo/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "CatunaMayo",
+    "id": "Eric111/CatunaMayo",
+    "developer": "Eric111",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
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+        "hf_repo": "SaylorTwift/bbh"
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+      },
+      "score_details": {
+        "score": 0.5244
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0846
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2919
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.454
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+        "score": 0.3178
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Etherll/Chocolatine-3B-Instruct-DPO-Revised-Ties-v2/35d5f5e3-74eb-4eea-9f78-b7b8969830a2.json b/data/hfopenllm_v2/Etherll/Chocolatine-3B-Instruct-DPO-Revised-Ties-v2/35d5f5e3-74eb-4eea-9f78-b7b8969830a2.json
new file mode 100644
index 000000000..fb25872ce
--- /dev/null
+++ b/data/hfopenllm_v2/Etherll/Chocolatine-3B-Instruct-DPO-Revised-Ties-v2/35d5f5e3-74eb-4eea-9f78-b7b8969830a2.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Etherll_Chocolatine-3B-Instruct-DPO-Revised-Ties-v2/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Chocolatine-3B-Instruct-DPO-Revised-Ties-v2",
+    "id": "Etherll/Chocolatine-3B-Instruct-DPO-Revised-Ties-v2",
+    "developer": "Etherll",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Phi3ForCausalLM",
+      "params_billions": 3.821
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.374
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5411
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1631
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3238
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4649
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3978
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Etherll/Chocolatine-3B-Instruct-DPO-Revised-Ties-v2/80ff60c0-820c-425d-8b32-44fc61128c9f.json b/data/hfopenllm_v2/Etherll/Chocolatine-3B-Instruct-DPO-Revised-Ties-v2/80ff60c0-820c-425d-8b32-44fc61128c9f.json
deleted file mode 100644
index b800fb7b3..000000000
--- a/data/hfopenllm_v2/Etherll/Chocolatine-3B-Instruct-DPO-Revised-Ties-v2/80ff60c0-820c-425d-8b32-44fc61128c9f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Etherll_Chocolatine-3B-Instruct-DPO-Revised-Ties-v2/1762652579.613742",
-  "retrieved_timestamp": "1762652579.613743",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Etherll/Chocolatine-3B-Instruct-DPO-Revised-Ties-v2",
-    "developer": "Etherll",
-    "inference_platform": "unknown",
-    "id": "Etherll/Chocolatine-3B-Instruct-DPO-Revised-Ties-v2",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Phi3ForCausalLM",
-      "params_billions": 3.821
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37399322686028624
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5410649663618229
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3238255033557047
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4649375
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.39777260638297873
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Etherll/Chocolatine-3B-Instruct-DPO-Revised-Ties/4cf4479a-622a-4bc2-86f2-aa526216f24c.json b/data/hfopenllm_v2/Etherll/Chocolatine-3B-Instruct-DPO-Revised-Ties/4cf4479a-622a-4bc2-86f2-aa526216f24c.json
new file mode 100644
index 000000000..34efe21cd
--- /dev/null
+++ b/data/hfopenllm_v2/Etherll/Chocolatine-3B-Instruct-DPO-Revised-Ties/4cf4479a-622a-4bc2-86f2-aa526216f24c.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Etherll_Chocolatine-3B-Instruct-DPO-Revised-Ties/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Chocolatine-3B-Instruct-DPO-Revised-Ties",
+    "id": "Etherll/Chocolatine-3B-Instruct-DPO-Revised-Ties",
+    "developer": "Etherll",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Phi3ForCausalLM",
+      "params_billions": 3.821
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3725
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5411
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1631
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3238
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4649
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3978
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Etherll/Chocolatine-3B-Instruct-DPO-Revised-Ties/d3b94b8e-8612-4928-bdba-81226af143b2.json b/data/hfopenllm_v2/Etherll/Chocolatine-3B-Instruct-DPO-Revised-Ties/d3b94b8e-8612-4928-bdba-81226af143b2.json
deleted file mode 100644
index bc1183e49..000000000
--- a/data/hfopenllm_v2/Etherll/Chocolatine-3B-Instruct-DPO-Revised-Ties/d3b94b8e-8612-4928-bdba-81226af143b2.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Etherll_Chocolatine-3B-Instruct-DPO-Revised-Ties/1762652579.613493",
-  "retrieved_timestamp": "1762652579.613494",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Etherll/Chocolatine-3B-Instruct-DPO-Revised-Ties",
-    "developer": "Etherll",
-    "inference_platform": "unknown",
-    "id": "Etherll/Chocolatine-3B-Instruct-DPO-Revised-Ties",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Phi3ForCausalLM",
-      "params_billions": 3.821
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3724694920588483
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-    },
-    {
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-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5410649663618229
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.16314199395770393
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3238255033557047
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4649375
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.39777260638297873
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Etherll/Herplete-LLM-Llama-3.1-8b-Ties/6ed27890-3e61-4c7d-8c94-a78c0b34ba32.json b/data/hfopenllm_v2/Etherll/Herplete-LLM-Llama-3.1-8b-Ties/6ed27890-3e61-4c7d-8c94-a78c0b34ba32.json
new file mode 100644
index 000000000..f9d679b28
--- /dev/null
+++ b/data/hfopenllm_v2/Etherll/Herplete-LLM-Llama-3.1-8b-Ties/6ed27890-3e61-4c7d-8c94-a78c0b34ba32.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Etherll_Herplete-LLM-Llama-3.1-8b-Ties/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Herplete-LLM-Llama-3.1-8b-Ties",
+    "id": "Etherll/Herplete-LLM-Llama-3.1-8b-Ties",
+    "developer": "Etherll",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6164
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
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+        "max_score": 1.0
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+        "score": 0.4017
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3752
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Etherll/Herplete-LLM-Llama-3.1-8b/87b5e360-7867-4edd-b45e-e7bb92a91b69.json b/data/hfopenllm_v2/Etherll/Herplete-LLM-Llama-3.1-8b/87b5e360-7867-4edd-b45e-e7bb92a91b69.json
new file mode 100644
index 000000000..c264e2240
--- /dev/null
+++ b/data/hfopenllm_v2/Etherll/Herplete-LLM-Llama-3.1-8b/87b5e360-7867-4edd-b45e-e7bb92a91b69.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Etherll_Herplete-LLM-Llama-3.1-8b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Herplete-LLM-Llama-3.1-8b",
+    "id": "Etherll/Herplete-LLM-Llama-3.1-8b",
+    "developer": "Etherll",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4672
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5013
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0279
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2861
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.386
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3482
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Etherll/Herplete-LLM-Llama-3.1-8b/d93116b8-28ff-41ea-8273-56f7ae11cf18.json b/data/hfopenllm_v2/Etherll/Herplete-LLM-Llama-3.1-8b/d93116b8-28ff-41ea-8273-56f7ae11cf18.json
new file mode 100644
index 000000000..e86363c53
--- /dev/null
+++ b/data/hfopenllm_v2/Etherll/Herplete-LLM-Llama-3.1-8b/d93116b8-28ff-41ea-8273-56f7ae11cf18.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Etherll_Herplete-LLM-Llama-3.1-8b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Herplete-LLM-Llama-3.1-8b",
+    "id": "Etherll/Herplete-LLM-Llama-3.1-8b",
+    "developer": "Etherll",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6106
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5347
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1548
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3146
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3991
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3752
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Etherll/Qwen2.5-7B-della-test/ba8c2c17-64f6-4cdb-b3b9-8977ce1bdbe2.json b/data/hfopenllm_v2/Etherll/Qwen2.5-7B-della-test/ba8c2c17-64f6-4cdb-b3b9-8977ce1bdbe2.json
new file mode 100644
index 000000000..dffbcaa3e
--- /dev/null
+++ b/data/hfopenllm_v2/Etherll/Qwen2.5-7B-della-test/ba8c2c17-64f6-4cdb-b3b9-8977ce1bdbe2.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Etherll_Qwen2.5-7B-della-test/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-7B-della-test",
+    "id": "Etherll/Qwen2.5-7B-della-test",
+    "developer": "Etherll",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7625
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5447
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4894
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3087
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4047
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4361
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Etherll/Qwen2.5-Coder-7B-Instruct-Ties/5e5602cc-b4de-4247-aa6d-940817fc849b.json b/data/hfopenllm_v2/Etherll/Qwen2.5-Coder-7B-Instruct-Ties/5e5602cc-b4de-4247-aa6d-940817fc849b.json
new file mode 100644
index 000000000..89117f4d7
--- /dev/null
+++ b/data/hfopenllm_v2/Etherll/Qwen2.5-Coder-7B-Instruct-Ties/5e5602cc-b4de-4247-aa6d-940817fc849b.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Etherll_Qwen2.5-Coder-7B-Instruct-Ties/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-Coder-7B-Instruct-Ties",
+    "id": "Etherll/Qwen2.5-Coder-7B-Instruct-Ties",
+    "developer": "Etherll",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5005
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4895
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2915
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3297
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4373
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3503
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Etherll/Qwen2.5-Coder-7B-Instruct-Ties/ea9f32e5-431d-4573-9ac9-25ebfa9c2c9e.json b/data/hfopenllm_v2/Etherll/Qwen2.5-Coder-7B-Instruct-Ties/ea9f32e5-431d-4573-9ac9-25ebfa9c2c9e.json
deleted file mode 100644
index 154e0af36..000000000
--- a/data/hfopenllm_v2/Etherll/Qwen2.5-Coder-7B-Instruct-Ties/ea9f32e5-431d-4573-9ac9-25ebfa9c2c9e.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Etherll_Qwen2.5-Coder-7B-Instruct-Ties/1762652579.61485",
-  "retrieved_timestamp": "1762652579.614851",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Etherll/Qwen2.5-Coder-7B-Instruct-Ties",
-    "developer": "Etherll",
-    "inference_platform": "unknown",
-    "id": "Etherll/Qwen2.5-Coder-7B-Instruct-Ties",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.616
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
-        "score": 0.5005385709916355
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-        "score": 0.4895144464043051
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-    {
-      "evaluation_name": "MATH Level 5",
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-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
-        "score": 0.29154078549848944
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3296979865771812
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.43728125
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3503158244680851
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Etherll/Replete-LLM-V3-Llama-3.1-8b/cc5f27f5-36d8-49bb-9c9d-7879598bfe71.json b/data/hfopenllm_v2/Etherll/Replete-LLM-V3-Llama-3.1-8b/cc5f27f5-36d8-49bb-9c9d-7879598bfe71.json
new file mode 100644
index 000000000..66e068f9c
--- /dev/null
+++ b/data/hfopenllm_v2/Etherll/Replete-LLM-V3-Llama-3.1-8b/cc5f27f5-36d8-49bb-9c9d-7879598bfe71.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Etherll_Replete-LLM-V3-Llama-3.1-8b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Replete-LLM-V3-Llama-3.1-8b",
+    "id": "Etherll/Replete-LLM-V3-Llama-3.1-8b",
+    "developer": "Etherll",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5263
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4543
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2273
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2685
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3516
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.347
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Etherll/SuperHermes/a641d61c-aa42-4bce-afc0-ba7639f0a24e.json b/data/hfopenllm_v2/Etherll/SuperHermes/a641d61c-aa42-4bce-afc0-ba7639f0a24e.json
deleted file mode 100644
index 9fc51c393..000000000
--- a/data/hfopenllm_v2/Etherll/SuperHermes/a641d61c-aa42-4bce-afc0-ba7639f0a24e.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Etherll_SuperHermes/1762652579.615286",
-  "retrieved_timestamp": "1762652579.615287",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Etherll/SuperHermes",
-    "developer": "Etherll",
-    "inference_platform": "unknown",
-    "id": "Etherll/SuperHermes",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5459015412438996
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5289531792679852
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.16540785498489427
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3238255033557047
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.44004166666666666
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.39486369680851063
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Etherll/SuperHermes/aec03bd9-808a-4c3f-bbde-40bcac5775fb.json b/data/hfopenllm_v2/Etherll/SuperHermes/aec03bd9-808a-4c3f-bbde-40bcac5775fb.json
new file mode 100644
index 000000000..688d993d6
--- /dev/null
+++ b/data/hfopenllm_v2/Etherll/SuperHermes/aec03bd9-808a-4c3f-bbde-40bcac5775fb.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Etherll_SuperHermes/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "SuperHermes",
+    "id": "Etherll/SuperHermes",
+    "developer": "Etherll",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5459
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.529
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1654
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3238
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.44
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3949
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Eurdem/Defne-llama3.1-8B/b4ae6f0b-8a6b-4c60-8eb2-3e202877bcf5.json b/data/hfopenllm_v2/Eurdem/Defne-llama3.1-8B/b4ae6f0b-8a6b-4c60-8eb2-3e202877bcf5.json
new file mode 100644
index 000000000..39493bbf0
--- /dev/null
+++ b/data/hfopenllm_v2/Eurdem/Defne-llama3.1-8B/b4ae6f0b-8a6b-4c60-8eb2-3e202877bcf5.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Eurdem_Defne-llama3.1-8B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Defne-llama3.1-8B",
+    "id": "Eurdem/Defne-llama3.1-8B",
+    "developer": "Eurdem",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5036
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5321
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1601
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2961
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4331
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3866
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/FINGU-AI/Chocolatine-Fusion-14B/5d5a7561-8a41-48ea-ae1c-e986ac666f19.json b/data/hfopenllm_v2/FINGU-AI/Chocolatine-Fusion-14B/5d5a7561-8a41-48ea-ae1c-e986ac666f19.json
deleted file mode 100644
index 21ce4669c..000000000
--- a/data/hfopenllm_v2/FINGU-AI/Chocolatine-Fusion-14B/5d5a7561-8a41-48ea-ae1c-e986ac666f19.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/FINGU-AI_Chocolatine-Fusion-14B/1762652579.615752",
-  "retrieved_timestamp": "1762652579.615752",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "FINGU-AI/Chocolatine-Fusion-14B",
-    "developer": "FINGU-AI",
-    "inference_platform": "unknown",
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diff --git a/data/hfopenllm_v2/FINGU-AI/Chocolatine-Fusion-14B/c68deb4d-73a8-40ab-b4e5-1773b7ec4ed8.json b/data/hfopenllm_v2/FINGU-AI/Chocolatine-Fusion-14B/c68deb4d-73a8-40ab-b4e5-1773b7ec4ed8.json
new file mode 100644
index 000000000..35a5b2bfe
--- /dev/null
+++ b/data/hfopenllm_v2/FINGU-AI/Chocolatine-Fusion-14B/c68deb4d-73a8-40ab-b4e5-1773b7ec4ed8.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/FINGU-AI_Chocolatine-Fusion-14B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Chocolatine-Fusion-14B",
+    "id": "FINGU-AI/Chocolatine-Fusion-14B",
+    "developer": "FINGU-AI",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 8.367
+    }
+  },
+  "evaluation_results": [
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
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+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6949
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+    {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+    },
+    {
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+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+      "source_data": {
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+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
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+    },
+    {
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+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+    {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
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+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/FINGU-AI/L3-8B/a93c5674-599b-429c-a322-3c6bc7248f45.json b/data/hfopenllm_v2/FINGU-AI/L3-8B/a93c5674-599b-429c-a322-3c6bc7248f45.json
new file mode 100644
index 000000000..c9e5228a0
--- /dev/null
+++ b/data/hfopenllm_v2/FINGU-AI/L3-8B/a93c5674-599b-429c-a322-3c6bc7248f45.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/FINGU-AI_L3-8B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "L3-8B",
+    "id": "FINGU-AI/L3-8B",
+    "developer": "FINGU-AI",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4986
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+    },
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+        "hf_repo": "Idavidrein/gpqa"
+      },
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+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2953
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3828
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/FINGU-AI/L3-8B/f2a0c2ff-40a4-4a75-93ca-b611c4314dd5.json b/data/hfopenllm_v2/FINGU-AI/L3-8B/f2a0c2ff-40a4-4a75-93ca-b611c4314dd5.json
deleted file mode 100644
index e210e0b9e..000000000
--- a/data/hfopenllm_v2/FINGU-AI/L3-8B/f2a0c2ff-40a4-4a75-93ca-b611c4314dd5.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "source_metadata": {
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-    "developer": "FINGU-AI",
-    "inference_platform": "unknown",
-    "id": "FINGU-AI/L3-8B",
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-      "architecture": "LlamaForCausalLM",
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-        "lower_is_better": false,
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-      },
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-    {
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-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/FINGU-AI/Phi-4-RRStock/5e6374a6-56bd-4bd9-b04b-30ec9cf234bc.json b/data/hfopenllm_v2/FINGU-AI/Phi-4-RRStock/5e6374a6-56bd-4bd9-b04b-30ec9cf234bc.json
new file mode 100644
index 000000000..e93edbe24
--- /dev/null
+++ b/data/hfopenllm_v2/FINGU-AI/Phi-4-RRStock/5e6374a6-56bd-4bd9-b04b-30ec9cf234bc.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/FINGU-AI_Phi-4-RRStock/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Phi-4-RRStock",
+    "id": "FINGU-AI/Phi-4-RRStock",
+    "developer": "FINGU-AI",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 6.652
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2855
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+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6443
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0582
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+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.38
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4479
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4883
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/FINGU-AI/Q-Small-3B/11d9d5ea-29f2-412e-af48-858626ebeec5.json b/data/hfopenllm_v2/FINGU-AI/Q-Small-3B/11d9d5ea-29f2-412e-af48-858626ebeec5.json
deleted file mode 100644
index 5954b0d54..000000000
--- a/data/hfopenllm_v2/FINGU-AI/Q-Small-3B/11d9d5ea-29f2-412e-af48-858626ebeec5.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/FINGU-AI_Q-Small-3B/1762652579.616768",
-  "retrieved_timestamp": "1762652579.61677",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "FINGU-AI/Q-Small-3B",
-    "developer": "FINGU-AI",
-    "inference_platform": "unknown",
-    "id": "FINGU-AI/Q-Small-3B",
-    "additional_details": {
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-      "params_billions": 3.086
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-  },
-  "evaluation_results": [
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-        "score_type": "continuous",
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diff --git a/data/hfopenllm_v2/FINGU-AI/Q-Small-3B/c3d2fc86-a5c4-4e92-bcf9-26096ca32ad4.json b/data/hfopenllm_v2/FINGU-AI/Q-Small-3B/c3d2fc86-a5c4-4e92-bcf9-26096ca32ad4.json
new file mode 100644
index 000000000..61898827c
--- /dev/null
+++ b/data/hfopenllm_v2/FINGU-AI/Q-Small-3B/c3d2fc86-a5c4-4e92-bcf9-26096ca32ad4.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/FINGU-AI_Q-Small-3B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Q-Small-3B",
+    "id": "FINGU-AI/Q-Small-3B",
+    "developer": "FINGU-AI",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 3.086
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4145
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4319
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0831
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2668
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4005
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.279
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/FINGU-AI/QwQ-Buddy-32B-Alpha/1b49cb06-3ee1-4945-aaed-12c868d9e45e.json b/data/hfopenllm_v2/FINGU-AI/QwQ-Buddy-32B-Alpha/1b49cb06-3ee1-4945-aaed-12c868d9e45e.json
new file mode 100644
index 000000000..a93048eac
--- /dev/null
+++ b/data/hfopenllm_v2/FINGU-AI/QwQ-Buddy-32B-Alpha/1b49cb06-3ee1-4945-aaed-12c868d9e45e.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/FINGU-AI_QwQ-Buddy-32B-Alpha/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "QwQ-Buddy-32B-Alpha",
+    "id": "FINGU-AI/QwQ-Buddy-32B-Alpha",
+    "developer": "FINGU-AI",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 19.662
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3446
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6424
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
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+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3792
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.506
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5294
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/FINGU-AI/QwQ-Buddy-32B-Alpha/32836e5d-d413-4e40-8c9c-4cb8c3daa23a.json b/data/hfopenllm_v2/FINGU-AI/QwQ-Buddy-32B-Alpha/32836e5d-d413-4e40-8c9c-4cb8c3daa23a.json
deleted file mode 100644
index ae1ebccb9..000000000
--- a/data/hfopenllm_v2/FINGU-AI/QwQ-Buddy-32B-Alpha/32836e5d-d413-4e40-8c9c-4cb8c3daa23a.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/FINGU-AI_QwQ-Buddy-32B-Alpha/1762652579.617035",
-  "retrieved_timestamp": "1762652579.617036",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "FINGU-AI/QwQ-Buddy-32B-Alpha",
-    "developer": "FINGU-AI",
-    "inference_platform": "unknown",
-    "id": "FINGU-AI/QwQ-Buddy-32B-Alpha",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 19.662
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
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-    },
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-    },
-    {
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-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37919463087248323
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5059895833333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5294215425531915
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/FINGU-AI/RomboUltima-32B/65853bb5-ff3e-4880-8c32-ce9aabcadd7b.json b/data/hfopenllm_v2/FINGU-AI/RomboUltima-32B/65853bb5-ff3e-4880-8c32-ce9aabcadd7b.json
new file mode 100644
index 000000000..05c3a1ad9
--- /dev/null
+++ b/data/hfopenllm_v2/FINGU-AI/RomboUltima-32B/65853bb5-ff3e-4880-8c32-ce9aabcadd7b.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/FINGU-AI_RomboUltima-32B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "RomboUltima-32B",
+    "id": "FINGU-AI/RomboUltima-32B",
+    "developer": "FINGU-AI",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 17.645
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6672
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6938
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5385
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3716
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4836
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5789
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/FINGU-AI/RomboUltima-32B/65c5a05d-0b24-4767-88ff-24984fa0f988.json b/data/hfopenllm_v2/FINGU-AI/RomboUltima-32B/65c5a05d-0b24-4767-88ff-24984fa0f988.json
deleted file mode 100644
index 3a43b80cc..000000000
--- a/data/hfopenllm_v2/FINGU-AI/RomboUltima-32B/65c5a05d-0b24-4767-88ff-24984fa0f988.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/FINGU-AI_RomboUltima-32B/1762652579.6173398",
-  "retrieved_timestamp": "1762652579.617341",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "FINGU-AI/RomboUltima-32B",
-    "developer": "FINGU-AI",
-    "inference_platform": "unknown",
-    "id": "FINGU-AI/RomboUltima-32B",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 17.645
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6671509372908327
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6938448333620042
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5385196374622356
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
-        "score": 0.3716442953020134
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4836354166666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.578873005319149
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-    }
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-}
diff --git a/data/hfopenllm_v2/FINGU-AI/Ultimos-32B/7fecc176-debf-4bf7-b3f3-479d05678a1e.json b/data/hfopenllm_v2/FINGU-AI/Ultimos-32B/7fecc176-debf-4bf7-b3f3-479d05678a1e.json
new file mode 100644
index 000000000..d9153beab
--- /dev/null
+++ b/data/hfopenllm_v2/FINGU-AI/Ultimos-32B/7fecc176-debf-4bf7-b3f3-479d05678a1e.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/FINGU-AI_Ultimos-32B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Ultimos-32B",
+    "id": "FINGU-AI/Ultimos-32B",
+    "developer": "FINGU-AI",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 9.604
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1592
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2906
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2492
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3286
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1111
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/FINGU-AI/Ultimos-32B/fa69d78a-e112-45ff-80c3-b4eb30d83ed9.json b/data/hfopenllm_v2/FINGU-AI/Ultimos-32B/fa69d78a-e112-45ff-80c3-b4eb30d83ed9.json
deleted file mode 100644
index a71d7cebc..000000000
--- a/data/hfopenllm_v2/FINGU-AI/Ultimos-32B/fa69d78a-e112-45ff-80c3-b4eb30d83ed9.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/FINGU-AI_Ultimos-32B/1762652579.617578",
-  "retrieved_timestamp": "1762652579.617579",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "FINGU-AI/Ultimos-32B",
-    "developer": "FINGU-AI",
-    "inference_platform": "unknown",
-    "id": "FINGU-AI/Ultimos-32B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 9.604
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1592197591280026
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2905531373728777
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.0
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.24916107382550334
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.32860416666666664
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11112034574468085
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/FallenMerick/Chewy-Lemon-Cookie-11B/3c965626-a264-40db-93e1-cd7659d0662e.json b/data/hfopenllm_v2/FallenMerick/Chewy-Lemon-Cookie-11B/3c965626-a264-40db-93e1-cd7659d0662e.json
new file mode 100644
index 000000000..21887b781
--- /dev/null
+++ b/data/hfopenllm_v2/FallenMerick/Chewy-Lemon-Cookie-11B/3c965626-a264-40db-93e1-cd7659d0662e.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/FallenMerick_Chewy-Lemon-Cookie-11B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Chewy-Lemon-Cookie-11B",
+    "id": "FallenMerick/Chewy-Lemon-Cookie-11B",
+    "developer": "FallenMerick",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 10.732
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4875
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5251
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0544
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2794
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4546
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3267
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/FallenMerick/Chewy-Lemon-Cookie-11B/f4f2289c-5b3c-4040-9e34-ac20352f45d7.json b/data/hfopenllm_v2/FallenMerick/Chewy-Lemon-Cookie-11B/f4f2289c-5b3c-4040-9e34-ac20352f45d7.json
deleted file mode 100644
index 4b38d28f2..000000000
--- a/data/hfopenllm_v2/FallenMerick/Chewy-Lemon-Cookie-11B/f4f2289c-5b3c-4040-9e34-ac20352f45d7.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/FallenMerick_Chewy-Lemon-Cookie-11B/1762652579.6178062",
-  "retrieved_timestamp": "1762652579.6178071",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "FallenMerick/Chewy-Lemon-Cookie-11B",
-    "developer": "FallenMerick",
-    "inference_platform": "unknown",
-    "id": "FallenMerick/Chewy-Lemon-Cookie-11B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 10.732
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4875242135312083
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5251122307375103
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.054380664652567974
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.27936241610738255
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.45455208333333336
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3267121010638298
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Felladrin/Llama-160M-Chat-v1/0885ef86-d7ef-4261-8ccd-f0391c42ffe4.json b/data/hfopenllm_v2/Felladrin/Llama-160M-Chat-v1/0885ef86-d7ef-4261-8ccd-f0391c42ffe4.json
deleted file mode 100644
index 3360b005a..000000000
--- a/data/hfopenllm_v2/Felladrin/Llama-160M-Chat-v1/0885ef86-d7ef-4261-8ccd-f0391c42ffe4.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Felladrin_Llama-160M-Chat-v1/1762652579.618279",
-  "retrieved_timestamp": "1762652579.61828",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Felladrin/Llama-160M-Chat-v1",
-    "developer": "Felladrin",
-    "inference_platform": "unknown",
-    "id": "Felladrin/Llama-160M-Chat-v1",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 0.162
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-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.15754642127333254
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30360811146348365
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2575503355704698
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
-        "score": 0.366125
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11361369680851063
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diff --git a/data/hfopenllm_v2/Felladrin/Llama-160M-Chat-v1/50fa6f0c-d689-4380-b619-253209b5badc.json b/data/hfopenllm_v2/Felladrin/Llama-160M-Chat-v1/50fa6f0c-d689-4380-b619-253209b5badc.json
new file mode 100644
index 000000000..bb5ec6c1c
--- /dev/null
+++ b/data/hfopenllm_v2/Felladrin/Llama-160M-Chat-v1/50fa6f0c-d689-4380-b619-253209b5badc.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Felladrin_Llama-160M-Chat-v1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-160M-Chat-v1",
+    "id": "Felladrin/Llama-160M-Chat-v1",
+    "developer": "Felladrin",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 0.162
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1575
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3036
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.006
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2576
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3661
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1136
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Felladrin/Minueza-32M-UltraChat/44324409-5cb3-438a-9751-9ee868b35233.json b/data/hfopenllm_v2/Felladrin/Minueza-32M-UltraChat/44324409-5cb3-438a-9751-9ee868b35233.json
deleted file mode 100644
index b257697c0..000000000
--- a/data/hfopenllm_v2/Felladrin/Minueza-32M-UltraChat/44324409-5cb3-438a-9751-9ee868b35233.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Felladrin_Minueza-32M-UltraChat/1762652579.6187",
-  "retrieved_timestamp": "1762652579.6187022",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Felladrin/Minueza-32M-UltraChat",
-    "developer": "Felladrin",
-    "inference_platform": "unknown",
-    "id": "Felladrin/Minueza-32M-UltraChat",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 0.033
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.13756277787381924
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2941478734048925
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.004531722054380665
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2558724832214765
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37418749999999995
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11328125
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Felladrin/Minueza-32M-UltraChat/adb25c88-6113-4307-bbf0-d377f757bc18.json b/data/hfopenllm_v2/Felladrin/Minueza-32M-UltraChat/adb25c88-6113-4307-bbf0-d377f757bc18.json
new file mode 100644
index 000000000..43e58afa9
--- /dev/null
+++ b/data/hfopenllm_v2/Felladrin/Minueza-32M-UltraChat/adb25c88-6113-4307-bbf0-d377f757bc18.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Felladrin_Minueza-32M-UltraChat/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Minueza-32M-UltraChat",
+    "id": "Felladrin/Minueza-32M-UltraChat",
+    "developer": "Felladrin",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 0.033
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1376
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2941
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0045
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2559
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3742
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1133
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/FlofloB/100k_fineweb_continued_pretraining_Qwen2.5-0.5B-Instruct_Unsloth_merged_16bit/b9ac5e03-c878-4e46-a89c-1906f3b91dce.json b/data/hfopenllm_v2/FlofloB/100k_fineweb_continued_pretraining_Qwen2.5-0.5B-Instruct_Unsloth_merged_16bit/b9ac5e03-c878-4e46-a89c-1906f3b91dce.json
new file mode 100644
index 000000000..1fd7e8ac3
--- /dev/null
+++ b/data/hfopenllm_v2/FlofloB/100k_fineweb_continued_pretraining_Qwen2.5-0.5B-Instruct_Unsloth_merged_16bit/b9ac5e03-c878-4e46-a89c-1906f3b91dce.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/FlofloB_100k_fineweb_continued_pretraining_Qwen2.5-0.5B-Instruct_Unsloth_merged_16bit/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "100k_fineweb_continued_pretraining_Qwen2.5-0.5B-Instruct_Unsloth_merged_16bit",
+    "id": "FlofloB/100k_fineweb_continued_pretraining_Qwen2.5-0.5B-Instruct_Unsloth_merged_16bit",
+    "developer": "FlofloB",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 0.5
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3083
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3323
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0408
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2693
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3302
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1498
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/FlofloB/100k_fineweb_continued_pretraining_Qwen2.5-0.5B-Instruct_Unsloth_merged_16bit/d37d499c-74cc-4fbb-9a3c-80776ebf2b82.json b/data/hfopenllm_v2/FlofloB/100k_fineweb_continued_pretraining_Qwen2.5-0.5B-Instruct_Unsloth_merged_16bit/d37d499c-74cc-4fbb-9a3c-80776ebf2b82.json
deleted file mode 100644
index 7bbc36e69..000000000
--- a/data/hfopenllm_v2/FlofloB/100k_fineweb_continued_pretraining_Qwen2.5-0.5B-Instruct_Unsloth_merged_16bit/d37d499c-74cc-4fbb-9a3c-80776ebf2b82.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/FlofloB_100k_fineweb_continued_pretraining_Qwen2.5-0.5B-Instruct_Unsloth_merged_16bit/1762652579.618947",
-  "retrieved_timestamp": "1762652579.618948",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "FlofloB/100k_fineweb_continued_pretraining_Qwen2.5-0.5B-Instruct_Unsloth_merged_16bit",
-    "developer": "FlofloB",
-    "inference_platform": "unknown",
-    "id": "FlofloB/100k_fineweb_continued_pretraining_Qwen2.5-0.5B-Instruct_Unsloth_merged_16bit",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 0.5
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30832191917445706
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3323387445789459
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.04078549848942598
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.26929530201342283
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.33021875
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.14976728723404256
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/FlofloB/10k_continued_pretraining_Phi-3-mini-4k-instruct_Unsloth_merged_16bit/d6a6badf-4472-44b5-af9e-4282e4406a8e.json b/data/hfopenllm_v2/FlofloB/10k_continued_pretraining_Phi-3-mini-4k-instruct_Unsloth_merged_16bit/d6a6badf-4472-44b5-af9e-4282e4406a8e.json
new file mode 100644
index 000000000..648617711
--- /dev/null
+++ b/data/hfopenllm_v2/FlofloB/10k_continued_pretraining_Phi-3-mini-4k-instruct_Unsloth_merged_16bit/d6a6badf-4472-44b5-af9e-4282e4406a8e.json
@@ -0,0 +1,132 @@
+{
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+  "source_metadata": {
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+    "source_type": "documentation",
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+    "evaluator_relationship": "third_party"
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+  "model_info": {
+    "name": "10k_continued_pretraining_Phi-3-mini-4k-instruct_Unsloth_merged_16bit",
+    "id": "FlofloB/10k_continued_pretraining_Phi-3-mini-4k-instruct_Unsloth_merged_16bit",
+    "developer": "FlofloB",
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+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+      "score_details": {
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+        "source_type": "hf_dataset",
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+        "max_score": 1.0
+      },
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+      }
+    },
+    {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
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+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
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+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "max_score": 1.0
+      },
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
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+        "lower_is_better": false,
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+        "max_score": 1.0
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+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/FlofloB/10k_continued_pretraining_Phi-3-mini-4k-instruct_Unsloth_merged_16bit/fc62bbce-e2e4-4b41-b632-a09eb8b0a4d6.json b/data/hfopenllm_v2/FlofloB/10k_continued_pretraining_Phi-3-mini-4k-instruct_Unsloth_merged_16bit/fc62bbce-e2e4-4b41-b632-a09eb8b0a4d6.json
deleted file mode 100644
index 3e59d854b..000000000
--- a/data/hfopenllm_v2/FlofloB/10k_continued_pretraining_Phi-3-mini-4k-instruct_Unsloth_merged_16bit/fc62bbce-e2e4-4b41-b632-a09eb8b0a4d6.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/FlofloB_10k_continued_pretraining_Phi-3-mini-4k-instruct_Unsloth_merged_16bit/1762652579.619225",
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "FlofloB/10k_continued_pretraining_Phi-3-mini-4k-instruct_Unsloth_merged_16bit",
-    "developer": "FlofloB",
-    "inference_platform": "unknown",
-    "id": "FlofloB/10k_continued_pretraining_Phi-3-mini-4k-instruct_Unsloth_merged_16bit",
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-        "score_type": "continuous",
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-        "lower_is_better": false,
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-        "lower_is_better": false,
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diff --git a/data/hfopenllm_v2/FlofloB/10k_continued_pretraining_Qwen2.5-0.5B-Instruct_Unsloth_merged_16bit/157d1e12-ced4-4b48-a651-5671a2b85ee6.json b/data/hfopenllm_v2/FlofloB/10k_continued_pretraining_Qwen2.5-0.5B-Instruct_Unsloth_merged_16bit/157d1e12-ced4-4b48-a651-5671a2b85ee6.json
deleted file mode 100644
index f1022aa47..000000000
--- a/data/hfopenllm_v2/FlofloB/10k_continued_pretraining_Qwen2.5-0.5B-Instruct_Unsloth_merged_16bit/157d1e12-ced4-4b48-a651-5671a2b85ee6.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/FlofloB_10k_continued_pretraining_Qwen2.5-0.5B-Instruct_Unsloth_merged_16bit/1762652579.619448",
-  "retrieved_timestamp": "1762652579.6194491",
-  "source_data": [
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-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "FlofloB/10k_continued_pretraining_Qwen2.5-0.5B-Instruct_Unsloth_merged_16bit",
-    "developer": "FlofloB",
-    "inference_platform": "unknown",
-    "id": "FlofloB/10k_continued_pretraining_Qwen2.5-0.5B-Instruct_Unsloth_merged_16bit",
-    "additional_details": {
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-    {
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-        "score_type": "continuous",
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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diff --git a/data/hfopenllm_v2/FlofloB/10k_continued_pretraining_Qwen2.5-0.5B-Instruct_Unsloth_merged_16bit/92e62d3a-3091-4538-b6da-ba705e11687a.json b/data/hfopenllm_v2/FlofloB/10k_continued_pretraining_Qwen2.5-0.5B-Instruct_Unsloth_merged_16bit/92e62d3a-3091-4538-b6da-ba705e11687a.json
new file mode 100644
index 000000000..7f912b4b9
--- /dev/null
+++ b/data/hfopenllm_v2/FlofloB/10k_continued_pretraining_Qwen2.5-0.5B-Instruct_Unsloth_merged_16bit/92e62d3a-3091-4538-b6da-ba705e11687a.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/FlofloB_10k_continued_pretraining_Qwen2.5-0.5B-Instruct_Unsloth_merged_16bit/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "10k_continued_pretraining_Qwen2.5-0.5B-Instruct_Unsloth_merged_16bit",
+    "id": "FlofloB/10k_continued_pretraining_Qwen2.5-0.5B-Instruct_Unsloth_merged_16bit",
+    "developer": "FlofloB",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 0.5
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2815
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+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3306
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.031
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+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2794
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3302
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1541
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/FlofloB/40k_continued_pretraining_Qwen2.5-0.5B-Instruct_Unsloth_merged_16bit/04f5fdc6-f1cd-4b2d-947a-86fee67b3b62.json b/data/hfopenllm_v2/FlofloB/40k_continued_pretraining_Qwen2.5-0.5B-Instruct_Unsloth_merged_16bit/04f5fdc6-f1cd-4b2d-947a-86fee67b3b62.json
new file mode 100644
index 000000000..cbbb13eef
--- /dev/null
+++ b/data/hfopenllm_v2/FlofloB/40k_continued_pretraining_Qwen2.5-0.5B-Instruct_Unsloth_merged_16bit/04f5fdc6-f1cd-4b2d-947a-86fee67b3b62.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/FlofloB_40k_continued_pretraining_Qwen2.5-0.5B-Instruct_Unsloth_merged_16bit/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "40k_continued_pretraining_Qwen2.5-0.5B-Instruct_Unsloth_merged_16bit",
+    "id": "FlofloB/40k_continued_pretraining_Qwen2.5-0.5B-Instruct_Unsloth_merged_16bit",
+    "developer": "FlofloB",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 0.5
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3325
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
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+    },
+    {
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+        "dataset_name": "GPQA",
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+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2676
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
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+      },
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+    },
+    {
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+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1485
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/FlofloB/40k_continued_pretraining_Qwen2.5-0.5B-Instruct_Unsloth_merged_16bit/5450695c-a1fd-431f-9201-19d858e48867.json b/data/hfopenllm_v2/FlofloB/40k_continued_pretraining_Qwen2.5-0.5B-Instruct_Unsloth_merged_16bit/5450695c-a1fd-431f-9201-19d858e48867.json
deleted file mode 100644
index 4589534f1..000000000
--- a/data/hfopenllm_v2/FlofloB/40k_continued_pretraining_Qwen2.5-0.5B-Instruct_Unsloth_merged_16bit/5450695c-a1fd-431f-9201-19d858e48867.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/FlofloB_40k_continued_pretraining_Qwen2.5-0.5B-Instruct_Unsloth_merged_16bit/1762652579.619661",
-  "retrieved_timestamp": "1762652579.619661",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "FlofloB/40k_continued_pretraining_Qwen2.5-0.5B-Instruct_Unsloth_merged_16bit",
-    "developer": "FlofloB",
-    "inference_platform": "unknown",
-    "id": "FlofloB/40k_continued_pretraining_Qwen2.5-0.5B-Instruct_Unsloth_merged_16bit",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 0.5
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3015775919006015
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.33246082656550385
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.03323262839879154
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2676174496644295
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3408229166666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.14852061170212766
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/FlofloB/83k_continued_pretraining_Qwen2.5-0.5B-Instruct_Unsloth_merged_16bit/5013ccfc-6bc5-4862-898c-1ca781f92572.json b/data/hfopenllm_v2/FlofloB/83k_continued_pretraining_Qwen2.5-0.5B-Instruct_Unsloth_merged_16bit/5013ccfc-6bc5-4862-898c-1ca781f92572.json
new file mode 100644
index 000000000..b055b4a00
--- /dev/null
+++ b/data/hfopenllm_v2/FlofloB/83k_continued_pretraining_Qwen2.5-0.5B-Instruct_Unsloth_merged_16bit/5013ccfc-6bc5-4862-898c-1ca781f92572.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/FlofloB_83k_continued_pretraining_Qwen2.5-0.5B-Instruct_Unsloth_merged_16bit/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "83k_continued_pretraining_Qwen2.5-0.5B-Instruct_Unsloth_merged_16bit",
+    "id": "FlofloB/83k_continued_pretraining_Qwen2.5-0.5B-Instruct_Unsloth_merged_16bit",
+    "developer": "FlofloB",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 0.5
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2869
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3347
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0302
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2735
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3289
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1555
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/FlofloB/83k_continued_pretraining_Qwen2.5-0.5B-Instruct_Unsloth_merged_16bit/d780dd37-3e71-400a-93be-f9512ad77d3e.json b/data/hfopenllm_v2/FlofloB/83k_continued_pretraining_Qwen2.5-0.5B-Instruct_Unsloth_merged_16bit/d780dd37-3e71-400a-93be-f9512ad77d3e.json
deleted file mode 100644
index 814388506..000000000
--- a/data/hfopenllm_v2/FlofloB/83k_continued_pretraining_Qwen2.5-0.5B-Instruct_Unsloth_merged_16bit/d780dd37-3e71-400a-93be-f9512ad77d3e.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/FlofloB_83k_continued_pretraining_Qwen2.5-0.5B-Instruct_Unsloth_merged_16bit/1762652579.619875",
-  "retrieved_timestamp": "1762652579.6198761",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "FlofloB/83k_continued_pretraining_Qwen2.5-0.5B-Instruct_Unsloth_merged_16bit",
-    "developer": "FlofloB",
-    "inference_platform": "unknown",
-    "id": "FlofloB/83k_continued_pretraining_Qwen2.5-0.5B-Instruct_Unsloth_merged_16bit",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 0.5
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.28693976426991497
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.33465340701604496
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.030211480362537766
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.27348993288590606
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3289479166666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.15550199468085107
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/FlofloB/smollm2-135M_pretrained_1000k_fineweb/38fff98c-72b1-453c-a2cf-cf077dd19d10.json b/data/hfopenllm_v2/FlofloB/smollm2-135M_pretrained_1000k_fineweb/38fff98c-72b1-453c-a2cf-cf077dd19d10.json
new file mode 100644
index 000000000..fe9ff6a34
--- /dev/null
+++ b/data/hfopenllm_v2/FlofloB/smollm2-135M_pretrained_1000k_fineweb/38fff98c-72b1-453c-a2cf-cf077dd19d10.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/FlofloB_smollm2-135M_pretrained_1000k_fineweb/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "smollm2-135M_pretrained_1000k_fineweb",
+    "id": "FlofloB/smollm2-135M_pretrained_1000k_fineweb",
+    "developer": "FlofloB",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 0.135
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1485
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2918
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0091
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2626
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3581
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1164
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/FlofloB/smollm2-135M_pretrained_1000k_fineweb/4ba295dd-43f3-45d6-8abe-58cd6fb11eee.json b/data/hfopenllm_v2/FlofloB/smollm2-135M_pretrained_1000k_fineweb/4ba295dd-43f3-45d6-8abe-58cd6fb11eee.json
deleted file mode 100644
index 6b46acaf7..000000000
--- a/data/hfopenllm_v2/FlofloB/smollm2-135M_pretrained_1000k_fineweb/4ba295dd-43f3-45d6-8abe-58cd6fb11eee.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/FlofloB_smollm2-135M_pretrained_1000k_fineweb/1762652579.620099",
-  "retrieved_timestamp": "1762652579.6201",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "FlofloB/smollm2-135M_pretrained_1000k_fineweb",
-    "developer": "FlofloB",
-    "inference_platform": "unknown",
-    "id": "FlofloB/smollm2-135M_pretrained_1000k_fineweb",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 0.135
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.14845388014911545
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2917939408206228
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.00906344410876133
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2625838926174497
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.35806249999999995
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1163563829787234
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diff --git a/data/hfopenllm_v2/FlofloB/smollm2-135M_pretrained_1000k_fineweb_uncovai_human_removed/42911928-ef64-474b-828a-02ce3383773e.json b/data/hfopenllm_v2/FlofloB/smollm2-135M_pretrained_1000k_fineweb_uncovai_human_removed/42911928-ef64-474b-828a-02ce3383773e.json
new file mode 100644
index 000000000..1a53297cc
--- /dev/null
+++ b/data/hfopenllm_v2/FlofloB/smollm2-135M_pretrained_1000k_fineweb_uncovai_human_removed/42911928-ef64-474b-828a-02ce3383773e.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/FlofloB_smollm2-135M_pretrained_1000k_fineweb_uncovai_human_removed/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "smollm2-135M_pretrained_1000k_fineweb_uncovai_human_removed",
+    "id": "FlofloB/smollm2-135M_pretrained_1000k_fineweb_uncovai_human_removed",
+    "developer": "FlofloB",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 0.135
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1554
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3066
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.006
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2508
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.358
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1143
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/FlofloB/smollm2-135M_pretrained_1000k_fineweb_uncovai_human_removed/7d967a13-3d40-4a9c-ac1d-956c2b2b6b98.json b/data/hfopenllm_v2/FlofloB/smollm2-135M_pretrained_1000k_fineweb_uncovai_human_removed/7d967a13-3d40-4a9c-ac1d-956c2b2b6b98.json
deleted file mode 100644
index 398d574c0..000000000
--- a/data/hfopenllm_v2/FlofloB/smollm2-135M_pretrained_1000k_fineweb_uncovai_human_removed/7d967a13-3d40-4a9c-ac1d-956c2b2b6b98.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/FlofloB_smollm2-135M_pretrained_1000k_fineweb_uncovai_human_removed/1762652579.620331",
-  "retrieved_timestamp": "1762652579.620332",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
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-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "FlofloB/smollm2-135M_pretrained_1000k_fineweb_uncovai_human_removed",
-    "developer": "FlofloB",
-    "inference_platform": "unknown",
-    "id": "FlofloB/smollm2-135M_pretrained_1000k_fineweb_uncovai_human_removed",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 0.135
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-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
-        "score": 0.15537329840379083
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-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
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-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.35803125
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11427859042553191
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/FlofloB/smollm2-135M_pretrained_1000k_fineweb_uncovai_selected/7989d7d3-c5e9-43c6-80a1-6de51533f9bf.json b/data/hfopenllm_v2/FlofloB/smollm2-135M_pretrained_1000k_fineweb_uncovai_selected/7989d7d3-c5e9-43c6-80a1-6de51533f9bf.json
new file mode 100644
index 000000000..36ed45fb4
--- /dev/null
+++ b/data/hfopenllm_v2/FlofloB/smollm2-135M_pretrained_1000k_fineweb_uncovai_selected/7989d7d3-c5e9-43c6-80a1-6de51533f9bf.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/FlofloB_smollm2-135M_pretrained_1000k_fineweb_uncovai_selected/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "smollm2-135M_pretrained_1000k_fineweb_uncovai_selected",
+    "id": "FlofloB/smollm2-135M_pretrained_1000k_fineweb_uncovai_selected",
+    "developer": "FlofloB",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 0.135
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1468
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2932
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0068
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2659
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4048
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1157
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/FlofloB/smollm2-135M_pretrained_1000k_fineweb_uncovai_selected/93f69ae3-c779-4f6b-8ac9-9bd8478e7eb2.json b/data/hfopenllm_v2/FlofloB/smollm2-135M_pretrained_1000k_fineweb_uncovai_selected/93f69ae3-c779-4f6b-8ac9-9bd8478e7eb2.json
deleted file mode 100644
index aa2e41bd9..000000000
--- a/data/hfopenllm_v2/FlofloB/smollm2-135M_pretrained_1000k_fineweb_uncovai_selected/93f69ae3-c779-4f6b-8ac9-9bd8478e7eb2.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/FlofloB_smollm2-135M_pretrained_1000k_fineweb_uncovai_selected/1762652579.62055",
-  "retrieved_timestamp": "1762652579.6205509",
-  "source_data": [
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
-    "name": "FlofloB/smollm2-135M_pretrained_1000k_fineweb_uncovai_selected",
-    "developer": "FlofloB",
-    "inference_platform": "unknown",
-    "id": "FlofloB/smollm2-135M_pretrained_1000k_fineweb_uncovai_selected",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 0.135
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-  },
-  "evaluation_results": [
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-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.14678054229444543
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-    },
-    {
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-      "metric_config": {
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.29317781029884354
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
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-    {
-      "evaluation_name": "GPQA",
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MUSR",
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-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4047604166666667
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11569148936170212
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/FlofloB/smollm2-135M_pretrained_1200k_fineweb/3b102085-a3f6-4da6-abdf-f906f0b37f3c.json b/data/hfopenllm_v2/FlofloB/smollm2-135M_pretrained_1200k_fineweb/3b102085-a3f6-4da6-abdf-f906f0b37f3c.json
deleted file mode 100644
index d7f19d6b0..000000000
--- a/data/hfopenllm_v2/FlofloB/smollm2-135M_pretrained_1200k_fineweb/3b102085-a3f6-4da6-abdf-f906f0b37f3c.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/FlofloB_smollm2-135M_pretrained_1200k_fineweb/1762652579.620773",
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-  "source_data": [
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
-    "name": "FlofloB/smollm2-135M_pretrained_1200k_fineweb",
-    "developer": "FlofloB",
-    "inference_platform": "unknown",
-    "id": "FlofloB/smollm2-135M_pretrained_1200k_fineweb",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
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-        "min_score": 0,
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diff --git a/data/hfopenllm_v2/FlofloB/smollm2-135M_pretrained_1200k_fineweb/5b9acd52-7eb6-4099-98be-ecd6cae07835.json b/data/hfopenllm_v2/FlofloB/smollm2-135M_pretrained_1200k_fineweb/5b9acd52-7eb6-4099-98be-ecd6cae07835.json
new file mode 100644
index 000000000..0446e5349
--- /dev/null
+++ b/data/hfopenllm_v2/FlofloB/smollm2-135M_pretrained_1200k_fineweb/5b9acd52-7eb6-4099-98be-ecd6cae07835.json
@@ -0,0 +1,132 @@
+{
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+  "evaluation_id": "hfopenllm_v2/FlofloB_smollm2-135M_pretrained_1200k_fineweb/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "smollm2-135M_pretrained_1200k_fineweb",
+    "id": "FlofloB/smollm2-135M_pretrained_1200k_fineweb",
+    "developer": "FlofloB",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 0.135
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1581
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2941
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0068
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2643
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3714
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1076
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/FlofloB/smollm2-135M_pretrained_1200k_fineweb_uncovai_human_removed/666bef5a-2d62-4743-bff1-07365716ab19.json b/data/hfopenllm_v2/FlofloB/smollm2-135M_pretrained_1200k_fineweb_uncovai_human_removed/666bef5a-2d62-4743-bff1-07365716ab19.json
new file mode 100644
index 000000000..197afa5d3
--- /dev/null
+++ b/data/hfopenllm_v2/FlofloB/smollm2-135M_pretrained_1200k_fineweb_uncovai_human_removed/666bef5a-2d62-4743-bff1-07365716ab19.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/FlofloB_smollm2-135M_pretrained_1200k_fineweb_uncovai_human_removed/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "smollm2-135M_pretrained_1200k_fineweb_uncovai_human_removed",
+    "id": "FlofloB/smollm2-135M_pretrained_1200k_fineweb_uncovai_human_removed",
+    "developer": "FlofloB",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 0.135
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1578
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.295
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0008
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2651
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.37
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1139
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/FlofloB/smollm2-135M_pretrained_1200k_fineweb_uncovai_human_removed/c8e1bfa5-d1dc-4bcb-9b91-397302006b1d.json b/data/hfopenllm_v2/FlofloB/smollm2-135M_pretrained_1200k_fineweb_uncovai_human_removed/c8e1bfa5-d1dc-4bcb-9b91-397302006b1d.json
deleted file mode 100644
index 5a6eda002..000000000
--- a/data/hfopenllm_v2/FlofloB/smollm2-135M_pretrained_1200k_fineweb_uncovai_human_removed/c8e1bfa5-d1dc-4bcb-9b91-397302006b1d.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "retrieved_timestamp": "1762652579.620977",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "FlofloB/smollm2-135M_pretrained_1200k_fineweb_uncovai_human_removed",
-    "developer": "FlofloB",
-    "inference_platform": "unknown",
-    "id": "FlofloB/smollm2-135M_pretrained_1200k_fineweb_uncovai_human_removed",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 0.135
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.157771379938563
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-    },
-    {
-      "evaluation_name": "BBH",
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
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-        "score_type": "continuous",
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-      }
-    },
-    {
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-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2651006711409396
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.36999999999999994
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11394614361702128
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/FlofloB/smollm2-135M_pretrained_1200k_fineweb_uncovai_selected/85de411c-2308-4824-bd6e-3327eeb6fe3e.json b/data/hfopenllm_v2/FlofloB/smollm2-135M_pretrained_1200k_fineweb_uncovai_selected/85de411c-2308-4824-bd6e-3327eeb6fe3e.json
new file mode 100644
index 000000000..bc92a7eb5
--- /dev/null
+++ b/data/hfopenllm_v2/FlofloB/smollm2-135M_pretrained_1200k_fineweb_uncovai_selected/85de411c-2308-4824-bd6e-3327eeb6fe3e.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/FlofloB_smollm2-135M_pretrained_1200k_fineweb_uncovai_selected/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "smollm2-135M_pretrained_1200k_fineweb_uncovai_selected",
+    "id": "FlofloB/smollm2-135M_pretrained_1200k_fineweb_uncovai_selected",
+    "developer": "FlofloB",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 0.135
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1585
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.296
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0076
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2634
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3567
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1164
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/FlofloB/smollm2-135M_pretrained_1200k_fineweb_uncovai_selected/d4dabe47-4bc9-46fe-8c2d-206d5ed8874a.json b/data/hfopenllm_v2/FlofloB/smollm2-135M_pretrained_1200k_fineweb_uncovai_selected/d4dabe47-4bc9-46fe-8c2d-206d5ed8874a.json
deleted file mode 100644
index 09e90f1a5..000000000
--- a/data/hfopenllm_v2/FlofloB/smollm2-135M_pretrained_1200k_fineweb_uncovai_selected/d4dabe47-4bc9-46fe-8c2d-206d5ed8874a.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/FlofloB_smollm2-135M_pretrained_1200k_fineweb_uncovai_selected/1762652579.6211882",
-  "retrieved_timestamp": "1762652579.6211882",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "FlofloB/smollm2-135M_pretrained_1200k_fineweb_uncovai_selected",
-    "developer": "FlofloB",
-    "inference_platform": "unknown",
-    "id": "FlofloB/smollm2-135M_pretrained_1200k_fineweb_uncovai_selected",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 0.135
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
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-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.15847063569107744
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.29604672415652145
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.0075528700906344415
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2634228187919463
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3567291666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11643949468085106
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/FlofloB/smollm2-135M_pretrained_1400k_fineweb/c5cb1709-7ba4-438c-8af7-d96cb4ab4ad0.json b/data/hfopenllm_v2/FlofloB/smollm2-135M_pretrained_1400k_fineweb/c5cb1709-7ba4-438c-8af7-d96cb4ab4ad0.json
deleted file mode 100644
index bbb766c22..000000000
--- a/data/hfopenllm_v2/FlofloB/smollm2-135M_pretrained_1400k_fineweb/c5cb1709-7ba4-438c-8af7-d96cb4ab4ad0.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/FlofloB_smollm2-135M_pretrained_1400k_fineweb/1762652579.6213892",
-  "retrieved_timestamp": "1762652579.62139",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "FlofloB/smollm2-135M_pretrained_1400k_fineweb",
-    "developer": "FlofloB",
-    "inference_platform": "unknown",
-    "id": "FlofloB/smollm2-135M_pretrained_1400k_fineweb",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 0.135
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.17638089158987041
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2921781950918249
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.011329305135951661
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.26593959731543626
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3873333333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1079621010638298
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/FlofloB/smollm2-135M_pretrained_1400k_fineweb/df28c4c2-d6a4-4ab0-a1ac-faf00a93de99.json b/data/hfopenllm_v2/FlofloB/smollm2-135M_pretrained_1400k_fineweb/df28c4c2-d6a4-4ab0-a1ac-faf00a93de99.json
new file mode 100644
index 000000000..86c5be30e
--- /dev/null
+++ b/data/hfopenllm_v2/FlofloB/smollm2-135M_pretrained_1400k_fineweb/df28c4c2-d6a4-4ab0-a1ac-faf00a93de99.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/FlofloB_smollm2-135M_pretrained_1400k_fineweb/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "smollm2-135M_pretrained_1400k_fineweb",
+    "id": "FlofloB/smollm2-135M_pretrained_1400k_fineweb",
+    "developer": "FlofloB",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 0.135
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1764
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2922
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0113
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2659
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3873
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.108
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/FlofloB/smollm2-135M_pretrained_1400k_fineweb_uncovai_human_removed/6fb37ad0-b41b-4ad7-91a2-79bbb835d445.json b/data/hfopenllm_v2/FlofloB/smollm2-135M_pretrained_1400k_fineweb_uncovai_human_removed/6fb37ad0-b41b-4ad7-91a2-79bbb835d445.json
new file mode 100644
index 000000000..4fd364781
--- /dev/null
+++ b/data/hfopenllm_v2/FlofloB/smollm2-135M_pretrained_1400k_fineweb_uncovai_human_removed/6fb37ad0-b41b-4ad7-91a2-79bbb835d445.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/FlofloB_smollm2-135M_pretrained_1400k_fineweb_uncovai_human_removed/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "smollm2-135M_pretrained_1400k_fineweb_uncovai_human_removed",
+    "id": "FlofloB/smollm2-135M_pretrained_1400k_fineweb_uncovai_human_removed",
+    "developer": "FlofloB",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 0.135
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1707
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2992
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0106
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2609
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3939
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1105
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/FlofloB/smollm2-135M_pretrained_1400k_fineweb_uncovai_human_removed/75cbe3a2-cbfa-482b-8c35-b74caf046df8.json b/data/hfopenllm_v2/FlofloB/smollm2-135M_pretrained_1400k_fineweb_uncovai_human_removed/75cbe3a2-cbfa-482b-8c35-b74caf046df8.json
deleted file mode 100644
index 20a46133e..000000000
--- a/data/hfopenllm_v2/FlofloB/smollm2-135M_pretrained_1400k_fineweb_uncovai_human_removed/75cbe3a2-cbfa-482b-8c35-b74caf046df8.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/FlofloB_smollm2-135M_pretrained_1400k_fineweb_uncovai_human_removed/1762652579.621598",
-  "retrieved_timestamp": "1762652579.621599",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "FlofloB/smollm2-135M_pretrained_1400k_fineweb_uncovai_human_removed",
-    "developer": "FlofloB",
-    "inference_platform": "unknown",
-    "id": "FlofloB/smollm2-135M_pretrained_1400k_fineweb_uncovai_human_removed",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 0.135
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.17066051410258115
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2992388897714206
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.010574018126888218
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2609060402684564
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3939375
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11045545212765957
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/FlofloB/smollm2-135M_pretrained_1400k_fineweb_uncovai_selected/062fa044-0fd4-49ea-988d-f477c7930496.json b/data/hfopenllm_v2/FlofloB/smollm2-135M_pretrained_1400k_fineweb_uncovai_selected/062fa044-0fd4-49ea-988d-f477c7930496.json
deleted file mode 100644
index 121697d20..000000000
--- a/data/hfopenllm_v2/FlofloB/smollm2-135M_pretrained_1400k_fineweb_uncovai_selected/062fa044-0fd4-49ea-988d-f477c7930496.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/FlofloB_smollm2-135M_pretrained_1400k_fineweb_uncovai_selected/1762652579.621813",
-  "retrieved_timestamp": "1762652579.621814",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "FlofloB/smollm2-135M_pretrained_1400k_fineweb_uncovai_selected",
-    "developer": "FlofloB",
-    "inference_platform": "unknown",
-    "id": "FlofloB/smollm2-135M_pretrained_1400k_fineweb_uncovai_selected",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 0.135
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.15384956360235286
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.291672957517483
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.010574018126888218
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2684563758389262
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37406249999999996
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11369680851063829
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/FlofloB/smollm2-135M_pretrained_1400k_fineweb_uncovai_selected/c41df02e-5aff-4de6-a1c4-d45b5585e29d.json b/data/hfopenllm_v2/FlofloB/smollm2-135M_pretrained_1400k_fineweb_uncovai_selected/c41df02e-5aff-4de6-a1c4-d45b5585e29d.json
new file mode 100644
index 000000000..c93f56f5d
--- /dev/null
+++ b/data/hfopenllm_v2/FlofloB/smollm2-135M_pretrained_1400k_fineweb_uncovai_selected/c41df02e-5aff-4de6-a1c4-d45b5585e29d.json
@@ -0,0 +1,132 @@
+{
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+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
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+    "source_type": "documentation",
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+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "smollm2-135M_pretrained_1400k_fineweb_uncovai_selected",
+    "id": "FlofloB/smollm2-135M_pretrained_1400k_fineweb_uncovai_selected",
+    "developer": "FlofloB",
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+    "additional_details": {
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+        "source_type": "hf_dataset",
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+      },
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+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "max_score": 1.0
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+      }
+    },
+    {
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+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "max_score": 1.0
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
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+    },
+    {
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+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1137
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/FlofloB/smollm2-135M_pretrained_200k_fineweb_uncovai_human_removed/aa587b4a-9c19-4231-ba72-9b66446460f9.json b/data/hfopenllm_v2/FlofloB/smollm2-135M_pretrained_200k_fineweb_uncovai_human_removed/aa587b4a-9c19-4231-ba72-9b66446460f9.json
new file mode 100644
index 000000000..c51687eca
--- /dev/null
+++ b/data/hfopenllm_v2/FlofloB/smollm2-135M_pretrained_200k_fineweb_uncovai_human_removed/aa587b4a-9c19-4231-ba72-9b66446460f9.json
@@ -0,0 +1,132 @@
+{
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+  "evaluation_id": "hfopenllm_v2/FlofloB_smollm2-135M_pretrained_200k_fineweb_uncovai_human_removed/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "smollm2-135M_pretrained_200k_fineweb_uncovai_human_removed",
+    "id": "FlofloB/smollm2-135M_pretrained_200k_fineweb_uncovai_human_removed",
+    "developer": "FlofloB",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 0.135
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
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+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+    {
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+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2584
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/FlofloB/smollm2-135M_pretrained_200k_fineweb_uncovai_human_removed/af001f63-a060-49ec-9bd3-f06b2ad96dc8.json b/data/hfopenllm_v2/FlofloB/smollm2-135M_pretrained_200k_fineweb_uncovai_human_removed/af001f63-a060-49ec-9bd3-f06b2ad96dc8.json
deleted file mode 100644
index 94eda8b53..000000000
--- a/data/hfopenllm_v2/FlofloB/smollm2-135M_pretrained_200k_fineweb_uncovai_human_removed/af001f63-a060-49ec-9bd3-f06b2ad96dc8.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-    "source_name": "HF Open LLM v2",
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-  "model_info": {
-    "name": "FlofloB/smollm2-135M_pretrained_200k_fineweb_uncovai_human_removed",
-    "developer": "FlofloB",
-    "inference_platform": "unknown",
-    "id": "FlofloB/smollm2-135M_pretrained_200k_fineweb_uncovai_human_removed",
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-    }
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-}
diff --git a/data/hfopenllm_v2/FlofloB/smollm2-135M_pretrained_200k_fineweb_uncovai_selected/556e1124-135e-473f-9e62-852f095b3118.json b/data/hfopenllm_v2/FlofloB/smollm2-135M_pretrained_200k_fineweb_uncovai_selected/556e1124-135e-473f-9e62-852f095b3118.json
deleted file mode 100644
index 6fb925664..000000000
--- a/data/hfopenllm_v2/FlofloB/smollm2-135M_pretrained_200k_fineweb_uncovai_selected/556e1124-135e-473f-9e62-852f095b3118.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-    "name": "FlofloB/smollm2-135M_pretrained_200k_fineweb_uncovai_selected",
-    "developer": "FlofloB",
-    "inference_platform": "unknown",
-    "id": "FlofloB/smollm2-135M_pretrained_200k_fineweb_uncovai_selected",
-    "additional_details": {
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-        "min_score": 0,
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-    {
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.36603125
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-}
diff --git a/data/hfopenllm_v2/FlofloB/smollm2-135M_pretrained_200k_fineweb_uncovai_selected/be14e75e-4fb1-41aa-b168-1ec23eb305e0.json b/data/hfopenllm_v2/FlofloB/smollm2-135M_pretrained_200k_fineweb_uncovai_selected/be14e75e-4fb1-41aa-b168-1ec23eb305e0.json
new file mode 100644
index 000000000..6785da5dc
--- /dev/null
+++ b/data/hfopenllm_v2/FlofloB/smollm2-135M_pretrained_200k_fineweb_uncovai_selected/be14e75e-4fb1-41aa-b168-1ec23eb305e0.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/FlofloB_smollm2-135M_pretrained_200k_fineweb_uncovai_selected/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "smollm2-135M_pretrained_200k_fineweb_uncovai_selected",
+    "id": "FlofloB/smollm2-135M_pretrained_200k_fineweb_uncovai_selected",
+    "developer": "FlofloB",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 0.135
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1345
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2927
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0076
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2508
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.366
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1131
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/FlofloB/smollm2-135M_pretrained_400k_fineweb/73be4a2b-28c9-4208-8107-3734fea25008.json b/data/hfopenllm_v2/FlofloB/smollm2-135M_pretrained_400k_fineweb/73be4a2b-28c9-4208-8107-3734fea25008.json
new file mode 100644
index 000000000..ec2adafe9
--- /dev/null
+++ b/data/hfopenllm_v2/FlofloB/smollm2-135M_pretrained_400k_fineweb/73be4a2b-28c9-4208-8107-3734fea25008.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/FlofloB_smollm2-135M_pretrained_400k_fineweb/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "smollm2-135M_pretrained_400k_fineweb",
+    "id": "FlofloB/smollm2-135M_pretrained_400k_fineweb",
+    "developer": "FlofloB",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 0.135
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1511
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2972
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0121
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2525
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3794
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1163
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/FlofloB/smollm2-135M_pretrained_400k_fineweb/982d6727-aa6c-41fe-abe7-47811ad3c9da.json b/data/hfopenllm_v2/FlofloB/smollm2-135M_pretrained_400k_fineweb/982d6727-aa6c-41fe-abe7-47811ad3c9da.json
deleted file mode 100644
index bcd730774..000000000
--- a/data/hfopenllm_v2/FlofloB/smollm2-135M_pretrained_400k_fineweb/982d6727-aa6c-41fe-abe7-47811ad3c9da.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/FlofloB_smollm2-135M_pretrained_400k_fineweb/1762652579.62247",
-  "retrieved_timestamp": "1762652579.62247",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "FlofloB/smollm2-135M_pretrained_400k_fineweb",
-    "developer": "FlofloB",
-    "inference_platform": "unknown",
-    "id": "FlofloB/smollm2-135M_pretrained_400k_fineweb",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 0.135
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1511267880335288
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.29723404576965046
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.012084592145015106
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2525167785234899
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3794270833333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11627327127659574
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/FlofloB/smollm2-135M_pretrained_400k_fineweb_uncovai_human_removed/0bf2fa4e-3bcb-46ff-a068-f4c796123c6d.json b/data/hfopenllm_v2/FlofloB/smollm2-135M_pretrained_400k_fineweb_uncovai_human_removed/0bf2fa4e-3bcb-46ff-a068-f4c796123c6d.json
new file mode 100644
index 000000000..f405d336a
--- /dev/null
+++ b/data/hfopenllm_v2/FlofloB/smollm2-135M_pretrained_400k_fineweb_uncovai_human_removed/0bf2fa4e-3bcb-46ff-a068-f4c796123c6d.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/FlofloB_smollm2-135M_pretrained_400k_fineweb_uncovai_human_removed/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "smollm2-135M_pretrained_400k_fineweb_uncovai_human_removed",
+    "id": "FlofloB/smollm2-135M_pretrained_400k_fineweb_uncovai_human_removed",
+    "developer": "FlofloB",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 0.135
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1556
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3049
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0091
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.255
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.386
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1138
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/FlofloB/smollm2-135M_pretrained_400k_fineweb_uncovai_human_removed/7b8f532b-c3a5-48fe-9d3f-e9c8b6f6897d.json b/data/hfopenllm_v2/FlofloB/smollm2-135M_pretrained_400k_fineweb_uncovai_human_removed/7b8f532b-c3a5-48fe-9d3f-e9c8b6f6897d.json
deleted file mode 100644
index 90451b957..000000000
--- a/data/hfopenllm_v2/FlofloB/smollm2-135M_pretrained_400k_fineweb_uncovai_human_removed/7b8f532b-c3a5-48fe-9d3f-e9c8b6f6897d.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/FlofloB_smollm2-135M_pretrained_400k_fineweb_uncovai_human_removed/1762652579.622689",
-  "retrieved_timestamp": "1762652579.62269",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
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-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "FlofloB/smollm2-135M_pretrained_400k_fineweb_uncovai_human_removed",
-    "developer": "FlofloB",
-    "inference_platform": "unknown",
-    "id": "FlofloB/smollm2-135M_pretrained_400k_fineweb_uncovai_human_removed",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 0.135
-    }
-  },
-  "evaluation_results": [
-    {
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-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.155648124753432
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3048804422828362
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.00906344410876133
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2550335570469799
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.38599999999999995
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11377992021276596
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/FlofloB/smollm2-135M_pretrained_400k_fineweb_uncovai_selected/1ce9e40f-5613-4d95-b451-a34f3feb961e.json b/data/hfopenllm_v2/FlofloB/smollm2-135M_pretrained_400k_fineweb_uncovai_selected/1ce9e40f-5613-4d95-b451-a34f3feb961e.json
deleted file mode 100644
index e68f8d6be..000000000
--- a/data/hfopenllm_v2/FlofloB/smollm2-135M_pretrained_400k_fineweb_uncovai_selected/1ce9e40f-5613-4d95-b451-a34f3feb961e.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/FlofloB_smollm2-135M_pretrained_400k_fineweb_uncovai_selected/1762652579.62291",
-  "retrieved_timestamp": "1762652579.622911",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "FlofloB/smollm2-135M_pretrained_400k_fineweb_uncovai_selected",
-    "developer": "FlofloB",
-    "inference_platform": "unknown",
-    "id": "FlofloB/smollm2-135M_pretrained_400k_fineweb_uncovai_selected",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 0.135
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-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
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-        "min_score": 0,
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-      "evaluation_name": "GPQA",
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-      "score_details": {
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-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
-        "score": 0.1157746010638298
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-}
diff --git a/data/hfopenllm_v2/FlofloB/smollm2-135M_pretrained_400k_fineweb_uncovai_selected/9f8fc05a-8658-4ed3-994a-965e6882d242.json b/data/hfopenllm_v2/FlofloB/smollm2-135M_pretrained_400k_fineweb_uncovai_selected/9f8fc05a-8658-4ed3-994a-965e6882d242.json
new file mode 100644
index 000000000..2de316a22
--- /dev/null
+++ b/data/hfopenllm_v2/FlofloB/smollm2-135M_pretrained_400k_fineweb_uncovai_selected/9f8fc05a-8658-4ed3-994a-965e6882d242.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/FlofloB_smollm2-135M_pretrained_400k_fineweb_uncovai_selected/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "smollm2-135M_pretrained_400k_fineweb_uncovai_selected",
+    "id": "FlofloB/smollm2-135M_pretrained_400k_fineweb_uncovai_selected",
+    "developer": "FlofloB",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 0.135
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1584
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2925
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0068
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2542
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.382
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1158
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/FlofloB/smollm2-135M_pretrained_600k_fineweb/bf6d3042-aa42-45b5-8bb1-49a8c5e2fd50.json b/data/hfopenllm_v2/FlofloB/smollm2-135M_pretrained_600k_fineweb/bf6d3042-aa42-45b5-8bb1-49a8c5e2fd50.json
deleted file mode 100644
index f04594ab4..000000000
--- a/data/hfopenllm_v2/FlofloB/smollm2-135M_pretrained_600k_fineweb/bf6d3042-aa42-45b5-8bb1-49a8c5e2fd50.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/FlofloB_smollm2-135M_pretrained_600k_fineweb/1762652579.623165",
-  "retrieved_timestamp": "1762652579.6231658",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "FlofloB/smollm2-135M_pretrained_600k_fineweb",
-    "developer": "FlofloB",
-    "inference_platform": "unknown",
-    "id": "FlofloB/smollm2-135M_pretrained_600k_fineweb",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 0.135
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.16391618682872555
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3013718229200533
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.006042296072507553
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.26593959731543626
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.38085416666666666
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11261635638297872
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/FlofloB/smollm2-135M_pretrained_600k_fineweb/ced11f6e-490d-42e9-8f3e-00e22cfc2910.json b/data/hfopenllm_v2/FlofloB/smollm2-135M_pretrained_600k_fineweb/ced11f6e-490d-42e9-8f3e-00e22cfc2910.json
new file mode 100644
index 000000000..13f664341
--- /dev/null
+++ b/data/hfopenllm_v2/FlofloB/smollm2-135M_pretrained_600k_fineweb/ced11f6e-490d-42e9-8f3e-00e22cfc2910.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/FlofloB_smollm2-135M_pretrained_600k_fineweb/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "smollm2-135M_pretrained_600k_fineweb",
+    "id": "FlofloB/smollm2-135M_pretrained_600k_fineweb",
+    "developer": "FlofloB",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 0.135
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1639
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3014
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.006
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2659
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3809
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1126
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/FlofloB/smollm2-135M_pretrained_600k_fineweb_uncovai_human_removed/4446e0a4-abdc-48a4-83f7-cc3d4aeede78.json b/data/hfopenllm_v2/FlofloB/smollm2-135M_pretrained_600k_fineweb_uncovai_human_removed/4446e0a4-abdc-48a4-83f7-cc3d4aeede78.json
deleted file mode 100644
index cc5f45be5..000000000
--- a/data/hfopenllm_v2/FlofloB/smollm2-135M_pretrained_600k_fineweb_uncovai_human_removed/4446e0a4-abdc-48a4-83f7-cc3d4aeede78.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/FlofloB_smollm2-135M_pretrained_600k_fineweb_uncovai_human_removed/1762652579.623383",
-  "retrieved_timestamp": "1762652579.623384",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "FlofloB/smollm2-135M_pretrained_600k_fineweb_uncovai_human_removed",
-    "developer": "FlofloB",
-    "inference_platform": "unknown",
-    "id": "FlofloB/smollm2-135M_pretrained_600k_fineweb_uncovai_human_removed",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 0.135
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.16414114549395603
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30001678726257036
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.00906344410876133
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2625838926174497
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3793333333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1146941489361702
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/FlofloB/smollm2-135M_pretrained_600k_fineweb_uncovai_human_removed/70ba788b-fe8c-4667-a859-0fb122de22b9.json b/data/hfopenllm_v2/FlofloB/smollm2-135M_pretrained_600k_fineweb_uncovai_human_removed/70ba788b-fe8c-4667-a859-0fb122de22b9.json
new file mode 100644
index 000000000..3978e6a37
--- /dev/null
+++ b/data/hfopenllm_v2/FlofloB/smollm2-135M_pretrained_600k_fineweb_uncovai_human_removed/70ba788b-fe8c-4667-a859-0fb122de22b9.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/FlofloB_smollm2-135M_pretrained_600k_fineweb_uncovai_human_removed/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "smollm2-135M_pretrained_600k_fineweb_uncovai_human_removed",
+    "id": "FlofloB/smollm2-135M_pretrained_600k_fineweb_uncovai_human_removed",
+    "developer": "FlofloB",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 0.135
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1641
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0091
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2626
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3793
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1147
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/FlofloB/smollm2-135M_pretrained_600k_fineweb_uncovai_selected/52f63809-1390-4a66-8ae2-8f150425d2d9.json b/data/hfopenllm_v2/FlofloB/smollm2-135M_pretrained_600k_fineweb_uncovai_selected/52f63809-1390-4a66-8ae2-8f150425d2d9.json
deleted file mode 100644
index e8cb37404..000000000
--- a/data/hfopenllm_v2/FlofloB/smollm2-135M_pretrained_600k_fineweb_uncovai_selected/52f63809-1390-4a66-8ae2-8f150425d2d9.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/FlofloB_smollm2-135M_pretrained_600k_fineweb_uncovai_selected/1762652579.623598",
-  "retrieved_timestamp": "1762652579.623599",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
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-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "FlofloB/smollm2-135M_pretrained_600k_fineweb_uncovai_selected",
-    "developer": "FlofloB",
-    "inference_platform": "unknown",
-    "id": "FlofloB/smollm2-135M_pretrained_600k_fineweb_uncovai_selected",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 0.135
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.16059389087620846
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2983444769655102
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.0075528700906344415
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2609060402684564
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3846354166666666
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11619015957446809
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/FlofloB/smollm2-135M_pretrained_600k_fineweb_uncovai_selected/e93f2d5f-7ffc-44b8-b2dc-d07b73de44ab.json b/data/hfopenllm_v2/FlofloB/smollm2-135M_pretrained_600k_fineweb_uncovai_selected/e93f2d5f-7ffc-44b8-b2dc-d07b73de44ab.json
new file mode 100644
index 000000000..4fb6c3205
--- /dev/null
+++ b/data/hfopenllm_v2/FlofloB/smollm2-135M_pretrained_600k_fineweb_uncovai_selected/e93f2d5f-7ffc-44b8-b2dc-d07b73de44ab.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/FlofloB_smollm2-135M_pretrained_600k_fineweb_uncovai_selected/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "smollm2-135M_pretrained_600k_fineweb_uncovai_selected",
+    "id": "FlofloB/smollm2-135M_pretrained_600k_fineweb_uncovai_selected",
+    "developer": "FlofloB",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 0.135
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1606
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2983
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0076
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2609
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3846
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1162
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/FlofloB/smollm2-135M_pretrained_800k_fineweb/15cacfe0-bdfb-4b87-a813-bfa70ff71984.json b/data/hfopenllm_v2/FlofloB/smollm2-135M_pretrained_800k_fineweb/15cacfe0-bdfb-4b87-a813-bfa70ff71984.json
new file mode 100644
index 000000000..3d0b3cb65
--- /dev/null
+++ b/data/hfopenllm_v2/FlofloB/smollm2-135M_pretrained_800k_fineweb/15cacfe0-bdfb-4b87-a813-bfa70ff71984.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/FlofloB_smollm2-135M_pretrained_800k_fineweb/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "smollm2-135M_pretrained_800k_fineweb",
+    "id": "FlofloB/smollm2-135M_pretrained_800k_fineweb",
+    "developer": "FlofloB",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 0.135
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1641
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2959
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0083
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2492
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3701
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1152
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/FlofloB/smollm2-135M_pretrained_800k_fineweb/6b7b5025-01c0-470b-8856-b628b11f4e6c.json b/data/hfopenllm_v2/FlofloB/smollm2-135M_pretrained_800k_fineweb/6b7b5025-01c0-470b-8856-b628b11f4e6c.json
deleted file mode 100644
index 4242730b2..000000000
--- a/data/hfopenllm_v2/FlofloB/smollm2-135M_pretrained_800k_fineweb/6b7b5025-01c0-470b-8856-b628b11f4e6c.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/FlofloB_smollm2-135M_pretrained_800k_fineweb/1762652579.623817",
-  "retrieved_timestamp": "1762652579.623818",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "FlofloB/smollm2-135M_pretrained_800k_fineweb",
-    "developer": "FlofloB",
-    "inference_platform": "unknown",
-    "id": "FlofloB/smollm2-135M_pretrained_800k_fineweb",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 0.135
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-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.16414114549395603
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-    },
-    {
-      "evaluation_name": "BBH",
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-        "evaluation_description": "Accuracy on BBH",
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
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-        "score": 0.29594449748780255
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-    {
-      "evaluation_name": "MATH Level 5",
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-        "score_type": "continuous",
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.24916107382550334
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.370125
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11519281914893617
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/FlofloB/smollm2-135M_pretrained_800k_fineweb_uncovai_human_removed/b85e5d55-dbdd-4383-ac86-75c83648c522.json b/data/hfopenllm_v2/FlofloB/smollm2-135M_pretrained_800k_fineweb_uncovai_human_removed/b85e5d55-dbdd-4383-ac86-75c83648c522.json
deleted file mode 100644
index a49d62010..000000000
--- a/data/hfopenllm_v2/FlofloB/smollm2-135M_pretrained_800k_fineweb_uncovai_human_removed/b85e5d55-dbdd-4383-ac86-75c83648c522.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/FlofloB_smollm2-135M_pretrained_800k_fineweb_uncovai_human_removed/1762652579.62404",
-  "retrieved_timestamp": "1762652579.6240408",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
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-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "FlofloB/smollm2-135M_pretrained_800k_fineweb_uncovai_human_removed",
-    "developer": "FlofloB",
-    "inference_platform": "unknown",
-    "id": "FlofloB/smollm2-135M_pretrained_800k_fineweb_uncovai_human_removed",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 0.135
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-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
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-        "max_score": 1
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-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
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-        "score_type": "continuous",
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-        "max_score": 1
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-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
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-        "score_type": "continuous",
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-        "max_score": 1
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-      "score_details": {
-        "score": 0.2525167785234899
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3992708333333333
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-  ]
-}
diff --git a/data/hfopenllm_v2/FlofloB/smollm2-135M_pretrained_800k_fineweb_uncovai_human_removed/cff00e2a-41e3-40d2-aab3-4bb3bd7d0d0e.json b/data/hfopenllm_v2/FlofloB/smollm2-135M_pretrained_800k_fineweb_uncovai_human_removed/cff00e2a-41e3-40d2-aab3-4bb3bd7d0d0e.json
new file mode 100644
index 000000000..ee1ff5fea
--- /dev/null
+++ b/data/hfopenllm_v2/FlofloB/smollm2-135M_pretrained_800k_fineweb_uncovai_human_removed/cff00e2a-41e3-40d2-aab3-4bb3bd7d0d0e.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/FlofloB_smollm2-135M_pretrained_800k_fineweb_uncovai_human_removed/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "smollm2-135M_pretrained_800k_fineweb_uncovai_human_removed",
+    "id": "FlofloB/smollm2-135M_pretrained_800k_fineweb_uncovai_human_removed",
+    "developer": "FlofloB",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 0.135
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1623
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3038
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0068
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2525
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3993
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1138
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/FlofloB/smollm2-135M_pretrained_800k_fineweb_uncovai_selected/dcddcf2f-f3fe-4f45-8c42-e95b1ac99d88.json b/data/hfopenllm_v2/FlofloB/smollm2-135M_pretrained_800k_fineweb_uncovai_selected/dcddcf2f-f3fe-4f45-8c42-e95b1ac99d88.json
deleted file mode 100644
index 8eb0f5d83..000000000
--- a/data/hfopenllm_v2/FlofloB/smollm2-135M_pretrained_800k_fineweb_uncovai_selected/dcddcf2f-f3fe-4f45-8c42-e95b1ac99d88.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/FlofloB_smollm2-135M_pretrained_800k_fineweb_uncovai_selected/1762652579.624255",
-  "retrieved_timestamp": "1762652579.624256",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "FlofloB/smollm2-135M_pretrained_800k_fineweb_uncovai_selected",
-    "developer": "FlofloB",
-    "inference_platform": "unknown",
-    "id": "FlofloB/smollm2-135M_pretrained_800k_fineweb_uncovai_selected",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 0.135
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.14742993036254914
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2942808065535252
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.004531722054380665
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.26174496644295303
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3766354166666666
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11303191489361702
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/FlofloB/smollm2-135M_pretrained_800k_fineweb_uncovai_selected/e1eab0cf-2c6d-44b2-8aaf-a75347741529.json b/data/hfopenllm_v2/FlofloB/smollm2-135M_pretrained_800k_fineweb_uncovai_selected/e1eab0cf-2c6d-44b2-8aaf-a75347741529.json
new file mode 100644
index 000000000..c0e2e5309
--- /dev/null
+++ b/data/hfopenllm_v2/FlofloB/smollm2-135M_pretrained_800k_fineweb_uncovai_selected/e1eab0cf-2c6d-44b2-8aaf-a75347741529.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/FlofloB_smollm2-135M_pretrained_800k_fineweb_uncovai_selected/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "smollm2-135M_pretrained_800k_fineweb_uncovai_selected",
+    "id": "FlofloB/smollm2-135M_pretrained_800k_fineweb_uncovai_selected",
+    "developer": "FlofloB",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 0.135
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1474
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2943
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0045
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2617
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3766
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.113
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/FlofloB/smollm2_pretrained_200k_fineweb/3d10ce78-6474-48c0-8eb3-c5b7146d3e06.json b/data/hfopenllm_v2/FlofloB/smollm2_pretrained_200k_fineweb/3d10ce78-6474-48c0-8eb3-c5b7146d3e06.json
deleted file mode 100644
index d086df090..000000000
--- a/data/hfopenllm_v2/FlofloB/smollm2_pretrained_200k_fineweb/3d10ce78-6474-48c0-8eb3-c5b7146d3e06.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/FlofloB_smollm2_pretrained_200k_fineweb/1762652579.624471",
-  "retrieved_timestamp": "1762652579.624471",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "FlofloB/smollm2_pretrained_200k_fineweb",
-    "developer": "FlofloB",
-    "inference_platform": "unknown",
-    "id": "FlofloB/smollm2_pretrained_200k_fineweb",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 0.135
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.15270039051937748
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.299468427221449
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.0037764350453172208
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.24748322147651006
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3699375
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11594082446808511
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/FlofloB/smollm2_pretrained_200k_fineweb/ed221db8-cf81-4257-8785-db9381eec5b7.json b/data/hfopenllm_v2/FlofloB/smollm2_pretrained_200k_fineweb/ed221db8-cf81-4257-8785-db9381eec5b7.json
new file mode 100644
index 000000000..efa15e0a4
--- /dev/null
+++ b/data/hfopenllm_v2/FlofloB/smollm2_pretrained_200k_fineweb/ed221db8-cf81-4257-8785-db9381eec5b7.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/FlofloB_smollm2_pretrained_200k_fineweb/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "smollm2_pretrained_200k_fineweb",
+    "id": "FlofloB/smollm2_pretrained_200k_fineweb",
+    "developer": "FlofloB",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 0.135
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1527
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2995
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0038
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2475
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3699
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1159
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/FlofloB/test_continued_pretraining_Phi-3-mini-4k-instruct_Unsloth_merged_16bit/41e2bd81-2369-416a-9287-021872efd931.json b/data/hfopenllm_v2/FlofloB/test_continued_pretraining_Phi-3-mini-4k-instruct_Unsloth_merged_16bit/41e2bd81-2369-416a-9287-021872efd931.json
deleted file mode 100644
index 3184471c3..000000000
--- a/data/hfopenllm_v2/FlofloB/test_continued_pretraining_Phi-3-mini-4k-instruct_Unsloth_merged_16bit/41e2bd81-2369-416a-9287-021872efd931.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/FlofloB_test_continued_pretraining_Phi-3-mini-4k-instruct_Unsloth_merged_16bit/1762652579.6246889",
-  "retrieved_timestamp": "1762652579.6246898",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "FlofloB/test_continued_pretraining_Phi-3-mini-4k-instruct_Unsloth_merged_16bit",
-    "developer": "FlofloB",
-    "inference_platform": "unknown",
-    "id": "FlofloB/test_continued_pretraining_Phi-3-mini-4k-instruct_Unsloth_merged_16bit",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 16.0
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.521546164177715
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5240829189778252
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11027190332326284
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.311241610738255
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42441666666666666
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3720910904255319
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/FlofloB/test_continued_pretraining_Phi-3-mini-4k-instruct_Unsloth_merged_16bit/b314468b-401a-4318-b022-c966bf3366aa.json b/data/hfopenllm_v2/FlofloB/test_continued_pretraining_Phi-3-mini-4k-instruct_Unsloth_merged_16bit/b314468b-401a-4318-b022-c966bf3366aa.json
new file mode 100644
index 000000000..0db2c1292
--- /dev/null
+++ b/data/hfopenllm_v2/FlofloB/test_continued_pretraining_Phi-3-mini-4k-instruct_Unsloth_merged_16bit/b314468b-401a-4318-b022-c966bf3366aa.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/FlofloB_test_continued_pretraining_Phi-3-mini-4k-instruct_Unsloth_merged_16bit/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "test_continued_pretraining_Phi-3-mini-4k-instruct_Unsloth_merged_16bit",
+    "id": "FlofloB/test_continued_pretraining_Phi-3-mini-4k-instruct_Unsloth_merged_16bit",
+    "developer": "FlofloB",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 16.0
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5215
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5241
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1103
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3112
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4244
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3721
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/FuJhen/ft-openhermes-25-mistral-7b-irca-dpo-pairs/a0dbb2eb-66c7-48a3-a85c-725b49141edf.json b/data/hfopenllm_v2/FuJhen/ft-openhermes-25-mistral-7b-irca-dpo-pairs/a0dbb2eb-66c7-48a3-a85c-725b49141edf.json
new file mode 100644
index 000000000..09f22c033
--- /dev/null
+++ b/data/hfopenllm_v2/FuJhen/ft-openhermes-25-mistral-7b-irca-dpo-pairs/a0dbb2eb-66c7-48a3-a85c-725b49141edf.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/FuJhen_ft-openhermes-25-mistral-7b-irca-dpo-pairs/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "ft-openhermes-25-mistral-7b-irca-dpo-pairs",
+    "id": "FuJhen/ft-openhermes-25-mistral-7b-irca-dpo-pairs",
+    "developer": "FuJhen",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "?",
+      "params_billions": 14.483
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.542
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4773
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0483
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2785
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4174
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2956
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/FuJhen/ft-openhermes-25-mistral-7b-irca-dpo-pairs/bfaec047-518f-42a0-93a1-c6bda3589c26.json b/data/hfopenllm_v2/FuJhen/ft-openhermes-25-mistral-7b-irca-dpo-pairs/bfaec047-518f-42a0-93a1-c6bda3589c26.json
deleted file mode 100644
index 205ab4408..000000000
--- a/data/hfopenllm_v2/FuJhen/ft-openhermes-25-mistral-7b-irca-dpo-pairs/bfaec047-518f-42a0-93a1-c6bda3589c26.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/FuJhen_ft-openhermes-25-mistral-7b-irca-dpo-pairs/1762652579.624908",
-  "retrieved_timestamp": "1762652579.6249092",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "FuJhen/ft-openhermes-25-mistral-7b-irca-dpo-pairs",
-    "developer": "FuJhen",
-    "inference_platform": "unknown",
-    "id": "FuJhen/ft-openhermes-25-mistral-7b-irca-dpo-pairs",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "?",
-      "params_billions": 14.483
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5420041046645123
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.47730323895548116
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.04833836858006042
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2785234899328859
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.417375
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2956283244680851
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/FuJhen/mistral-instruct-7B-DPO/5f79d177-3ca8-4c95-83bb-2abb0e803e72.json b/data/hfopenllm_v2/FuJhen/mistral-instruct-7B-DPO/5f79d177-3ca8-4c95-83bb-2abb0e803e72.json
deleted file mode 100644
index bed416543..000000000
--- a/data/hfopenllm_v2/FuJhen/mistral-instruct-7B-DPO/5f79d177-3ca8-4c95-83bb-2abb0e803e72.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/FuJhen_mistral-instruct-7B-DPO/1762652579.625171",
-  "retrieved_timestamp": "1762652579.625172",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "FuJhen/mistral-instruct-7B-DPO",
-    "developer": "FuJhen",
-    "inference_platform": "unknown",
-    "id": "FuJhen/mistral-instruct-7B-DPO",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "?",
-      "params_billions": 14.496
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.49684171332065585
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.46239050561386214
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.03851963746223565
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.27768456375838924
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4015625
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30335771276595747
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/FuJhen/mistral-instruct-7B-DPO/812a36ec-4928-40a9-9aa8-ee39d7bb02f5.json b/data/hfopenllm_v2/FuJhen/mistral-instruct-7B-DPO/812a36ec-4928-40a9-9aa8-ee39d7bb02f5.json
new file mode 100644
index 000000000..a76f20076
--- /dev/null
+++ b/data/hfopenllm_v2/FuJhen/mistral-instruct-7B-DPO/812a36ec-4928-40a9-9aa8-ee39d7bb02f5.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/FuJhen_mistral-instruct-7B-DPO/1770682486.623709",
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+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
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+        "evaluation_description": "Exact Match on MATH Level 5",
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+        "hf_repo": "TAUR-Lab/MuSR"
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+        "hf_repo": "TIGER-Lab/MMLU-Pro"
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+        "evaluation_description": "Accuracy on MMLU-PRO",
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/FuJhen/mistral_7b_v0.1_structedData_e2e/77af2424-0a23-49f3-97b0-316d04a33547.json b/data/hfopenllm_v2/FuJhen/mistral_7b_v0.1_structedData_e2e/77af2424-0a23-49f3-97b0-316d04a33547.json
new file mode 100644
index 000000000..fd9de9edd
--- /dev/null
+++ b/data/hfopenllm_v2/FuJhen/mistral_7b_v0.1_structedData_e2e/77af2424-0a23-49f3-97b0-316d04a33547.json
@@ -0,0 +1,132 @@
+{
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+  "source_metadata": {
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+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
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+  "model_info": {
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+    "id": "FuJhen/mistral_7b_v0.1_structedData_e2e",
+    "developer": "FuJhen",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "?",
+      "params_billions": 7.0
+    }
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
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+        "evaluation_description": "Exact Match on MATH Level 5",
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+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
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+        "evaluation_description": "Accuracy on MMLU-PRO",
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+      }
+    }
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/FuJhen/mistral_7b_v0.1_structedData_viggo/6f422676-2d7e-40ed-a5e3-4afc25564cfc.json b/data/hfopenllm_v2/FuJhen/mistral_7b_v0.1_structedData_viggo/6f422676-2d7e-40ed-a5e3-4afc25564cfc.json
new file mode 100644
index 000000000..2e924bc72
--- /dev/null
+++ b/data/hfopenllm_v2/FuJhen/mistral_7b_v0.1_structedData_viggo/6f422676-2d7e-40ed-a5e3-4afc25564cfc.json
@@ -0,0 +1,132 @@
+{
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+  "source_metadata": {
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+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "mistral_7b_v0.1_structedData_viggo",
+    "id": "FuJhen/mistral_7b_v0.1_structedData_viggo",
+    "developer": "FuJhen",
+    "inference_platform": "unknown",
+    "additional_details": {
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+      "architecture": "?",
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+    }
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+  "evaluation_results": [
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+      },
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
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+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
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+        "evaluation_description": "Exact Match on MATH Level 5",
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+        "hf_repo": "TAUR-Lab/MuSR"
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+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/FuseAI/FuseChat-7B-v2.0/26ca0085-db25-4664-823a-f56e08081dc4.json b/data/hfopenllm_v2/FuseAI/FuseChat-7B-v2.0/26ca0085-db25-4664-823a-f56e08081dc4.json
deleted file mode 100644
index 41377ff04..000000000
--- a/data/hfopenllm_v2/FuseAI/FuseChat-7B-v2.0/26ca0085-db25-4664-823a-f56e08081dc4.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
-    "name": "FuseAI/FuseChat-7B-v2.0",
-    "developer": "FuseAI",
-    "inference_platform": "unknown",
-    "id": "FuseAI/FuseChat-7B-v2.0",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
-    }
-  },
-  "evaluation_results": [
-    {
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-      "score_details": {
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-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-}
diff --git a/data/hfopenllm_v2/FuseAI/FuseChat-7B-v2.0/43923dd6-838a-4259-a938-7766dfd9c07e.json b/data/hfopenllm_v2/FuseAI/FuseChat-7B-v2.0/43923dd6-838a-4259-a938-7766dfd9c07e.json
new file mode 100644
index 000000000..c01a38f0d
--- /dev/null
+++ b/data/hfopenllm_v2/FuseAI/FuseChat-7B-v2.0/43923dd6-838a-4259-a938-7766dfd9c07e.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/FuseAI_FuseChat-7B-v2.0/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "FuseChat-7B-v2.0",
+    "id": "FuseAI/FuseChat-7B-v2.0",
+    "developer": "FuseAI",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+    },
+    {
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+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
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+        "score_type": "continuous",
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+        "max_score": 1.0
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.302
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4797
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+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3162
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/FuseAI/FuseChat-Llama-3.1-8B-Instruct/dba94a49-02b0-4e92-bd6c-c6bfc9be3cfb.json b/data/hfopenllm_v2/FuseAI/FuseChat-Llama-3.1-8B-Instruct/dba94a49-02b0-4e92-bd6c-c6bfc9be3cfb.json
new file mode 100644
index 000000000..b8ec7de60
--- /dev/null
+++ b/data/hfopenllm_v2/FuseAI/FuseChat-Llama-3.1-8B-Instruct/dba94a49-02b0-4e92-bd6c-c6bfc9be3cfb.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/FuseAI_FuseChat-Llama-3.1-8B-Instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "FuseChat-Llama-3.1-8B-Instruct",
+    "id": "FuseAI/FuseChat-Llama-3.1-8B-Instruct",
+    "developer": "FuseAI",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7205
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.512
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2477
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3054
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.382
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3733
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/FuseAI/FuseChat-Llama-3.1-8B-Instruct/fdc9ea4d-acf8-4f2c-b727-482f464eb925.json b/data/hfopenllm_v2/FuseAI/FuseChat-Llama-3.1-8B-Instruct/fdc9ea4d-acf8-4f2c-b727-482f464eb925.json
deleted file mode 100644
index ec9b0e671..000000000
--- a/data/hfopenllm_v2/FuseAI/FuseChat-Llama-3.1-8B-Instruct/fdc9ea4d-acf8-4f2c-b727-482f464eb925.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/FuseAI_FuseChat-Llama-3.1-8B-Instruct/1762652579.626143",
-  "retrieved_timestamp": "1762652579.626144",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "FuseAI/FuseChat-Llama-3.1-8B-Instruct",
-    "developer": "FuseAI",
-    "inference_platform": "unknown",
-    "id": "FuseAI/FuseChat-Llama-3.1-8B-Instruct",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7204816553411615
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-    },
-    {
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-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3053691275167785
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.38200000000000006
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37333776595744683
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/FuseAI/FuseChat-Llama-3.2-3B-Instruct/16a782dc-0795-4281-aad6-4f664a0940ab.json b/data/hfopenllm_v2/FuseAI/FuseChat-Llama-3.2-3B-Instruct/16a782dc-0795-4281-aad6-4f664a0940ab.json
new file mode 100644
index 000000000..879cf24a5
--- /dev/null
+++ b/data/hfopenllm_v2/FuseAI/FuseChat-Llama-3.2-3B-Instruct/16a782dc-0795-4281-aad6-4f664a0940ab.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/FuseAI_FuseChat-Llama-3.2-3B-Instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "FuseChat-Llama-3.2-3B-Instruct",
+    "id": "FuseAI/FuseChat-Llama-3.2-3B-Instruct",
+    "developer": "FuseAI",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 3.213
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6849
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4658
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2424
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2961
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3914
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3132
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/FuseAI/FuseChat-Llama-3.2-3B-Instruct/e39160a3-8332-467d-900f-52bb7d1446c1.json b/data/hfopenllm_v2/FuseAI/FuseChat-Llama-3.2-3B-Instruct/e39160a3-8332-467d-900f-52bb7d1446c1.json
deleted file mode 100644
index 731de2043..000000000
--- a/data/hfopenllm_v2/FuseAI/FuseChat-Llama-3.2-3B-Instruct/e39160a3-8332-467d-900f-52bb7d1446c1.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/FuseAI_FuseChat-Llama-3.2-3B-Instruct/1762652579.626356",
-  "retrieved_timestamp": "1762652579.626357",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
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-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "FuseAI/FuseChat-Llama-3.2-3B-Instruct",
-    "developer": "FuseAI",
-    "inference_platform": "unknown",
-    "id": "FuseAI/FuseChat-Llama-3.2-3B-Instruct",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
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-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-    {
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
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-        "min_score": 0,
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-    {
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-      "metric_config": {
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.31316489361702127
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/FuseAI/FuseChat-Qwen-2.5-7B-Instruct/1bae6b5e-47b0-4fe2-847a-8aec0a36342e.json b/data/hfopenllm_v2/FuseAI/FuseChat-Qwen-2.5-7B-Instruct/1bae6b5e-47b0-4fe2-847a-8aec0a36342e.json
deleted file mode 100644
index 98c38689e..000000000
--- a/data/hfopenllm_v2/FuseAI/FuseChat-Qwen-2.5-7B-Instruct/1bae6b5e-47b0-4fe2-847a-8aec0a36342e.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/FuseAI_FuseChat-Qwen-2.5-7B-Instruct/1762652579.626579",
-  "retrieved_timestamp": "1762652579.626579",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
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-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "FuseAI/FuseChat-Qwen-2.5-7B-Instruct",
-    "developer": "FuseAI",
-    "inference_platform": "unknown",
-    "id": "FuseAI/FuseChat-Qwen-2.5-7B-Instruct",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.616
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-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
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-        "lower_is_better": false,
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-        "min_score": 0,
-        "max_score": 1
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-    {
-      "evaluation_name": "BBH",
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-        "score_type": "continuous",
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-    {
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-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
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-        "score_type": "continuous",
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-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
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-}
diff --git a/data/hfopenllm_v2/FuseAI/FuseChat-Qwen-2.5-7B-Instruct/5d24d4ad-9f37-4634-ba23-74fbc74fd298.json b/data/hfopenllm_v2/FuseAI/FuseChat-Qwen-2.5-7B-Instruct/5d24d4ad-9f37-4634-ba23-74fbc74fd298.json
new file mode 100644
index 000000000..0a5c32d0b
--- /dev/null
+++ b/data/hfopenllm_v2/FuseAI/FuseChat-Qwen-2.5-7B-Instruct/5d24d4ad-9f37-4634-ba23-74fbc74fd298.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/FuseAI_FuseChat-Qwen-2.5-7B-Instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
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+    "id": "FuseAI/FuseChat-Qwen-2.5-7B-Instruct",
+    "developer": "FuseAI",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
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+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5906
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5526
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4562
+      }
+    },
+    {
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+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2961
+      }
+    },
+    {
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+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3874
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+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/GalrionSoftworks/MN-LooseCannon-12B-v1/043cd315-fcb7-4871-ae79-dee3fdefaef0.json b/data/hfopenllm_v2/GalrionSoftworks/MN-LooseCannon-12B-v1/043cd315-fcb7-4871-ae79-dee3fdefaef0.json
new file mode 100644
index 000000000..a45337ab5
--- /dev/null
+++ b/data/hfopenllm_v2/GalrionSoftworks/MN-LooseCannon-12B-v1/043cd315-fcb7-4871-ae79-dee3fdefaef0.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/GalrionSoftworks_MN-LooseCannon-12B-v1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "MN-LooseCannon-12B-v1",
+    "id": "GalrionSoftworks/MN-LooseCannon-12B-v1",
+    "developer": "GalrionSoftworks",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 12.248
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5418
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5128
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2852
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4138
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3196
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/GalrionSoftworks/MN-LooseCannon-12B-v1/eb76e049-3a5d-4786-9724-800b719a6113.json b/data/hfopenllm_v2/GalrionSoftworks/MN-LooseCannon-12B-v1/eb76e049-3a5d-4786-9724-800b719a6113.json
deleted file mode 100644
index 20c446713..000000000
--- a/data/hfopenllm_v2/GalrionSoftworks/MN-LooseCannon-12B-v1/eb76e049-3a5d-4786-9724-800b719a6113.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/GalrionSoftworks_MN-LooseCannon-12B-v1/1762652579.626794",
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-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "GalrionSoftworks/MN-LooseCannon-12B-v1",
-    "developer": "GalrionSoftworks",
-    "inference_platform": "unknown",
-    "id": "GalrionSoftworks/MN-LooseCannon-12B-v1",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 12.248
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5128183808679557
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.08534743202416918
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-    },
-    {
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-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
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-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.28523489932885904
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41384375
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3195644946808511
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/GalrionSoftworks/MagnusIntellectus-12B-v1/3c377d7e-14bc-4c82-9ada-7560552abbe4.json b/data/hfopenllm_v2/GalrionSoftworks/MagnusIntellectus-12B-v1/3c377d7e-14bc-4c82-9ada-7560552abbe4.json
new file mode 100644
index 000000000..19eeb69d1
--- /dev/null
+++ b/data/hfopenllm_v2/GalrionSoftworks/MagnusIntellectus-12B-v1/3c377d7e-14bc-4c82-9ada-7560552abbe4.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/GalrionSoftworks_MagnusIntellectus-12B-v1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "MagnusIntellectus-12B-v1",
+    "id": "GalrionSoftworks/MagnusIntellectus-12B-v1",
+    "developer": "GalrionSoftworks",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 12.248
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4421
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5323
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.065
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2844
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4428
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3421
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/GalrionSoftworks/MagnusIntellectus-12B-v1/99a948ab-cc5b-4f3a-aae0-684cbfb6ffb3.json b/data/hfopenllm_v2/GalrionSoftworks/MagnusIntellectus-12B-v1/99a948ab-cc5b-4f3a-aae0-684cbfb6ffb3.json
deleted file mode 100644
index a283d4fd7..000000000
--- a/data/hfopenllm_v2/GalrionSoftworks/MagnusIntellectus-12B-v1/99a948ab-cc5b-4f3a-aae0-684cbfb6ffb3.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/GalrionSoftworks_MagnusIntellectus-12B-v1/1762652579.62705",
-  "retrieved_timestamp": "1762652579.627051",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "GalrionSoftworks/MagnusIntellectus-12B-v1",
-    "developer": "GalrionSoftworks",
-    "inference_platform": "unknown",
-    "id": "GalrionSoftworks/MagnusIntellectus-12B-v1",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 12.248
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4421368635221213
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-    },
-    {
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.0649546827794562
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.28439597315436244
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4428020833333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.34208776595744683
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/GenVRadmin/AryaBhatta-GemmaOrca-2-Merged/43bb650b-8bb7-41b4-866a-cb2dad1499d6.json b/data/hfopenllm_v2/GenVRadmin/AryaBhatta-GemmaOrca-2-Merged/43bb650b-8bb7-41b4-866a-cb2dad1499d6.json
new file mode 100644
index 000000000..ce87f2d44
--- /dev/null
+++ b/data/hfopenllm_v2/GenVRadmin/AryaBhatta-GemmaOrca-2-Merged/43bb650b-8bb7-41b4-866a-cb2dad1499d6.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/GenVRadmin_AryaBhatta-GemmaOrca-2-Merged/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "AryaBhatta-GemmaOrca-2-Merged",
+    "id": "GenVRadmin/AryaBhatta-GemmaOrca-2-Merged",
+    "developer": "GenVRadmin",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "GemmaForCausalLM",
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+        "hf_repo": "SaylorTwift/bbh"
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+        "max_score": 1.0
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+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
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+      "metric_config": {
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+        "hf_repo": "TAUR-Lab/MuSR"
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+        "evaluation_description": "Accuracy on MUSR",
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+        "min_score": 0.0,
+        "max_score": 1.0
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+    {
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+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
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+        "max_score": 1.0
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+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/GenVRadmin/AryaBhatta-GemmaOrca-Merged/bdf8f907-37ca-41ca-9a4e-f4dd446f895f.json b/data/hfopenllm_v2/GenVRadmin/AryaBhatta-GemmaOrca-Merged/bdf8f907-37ca-41ca-9a4e-f4dd446f895f.json
new file mode 100644
index 000000000..54f086875
--- /dev/null
+++ b/data/hfopenllm_v2/GenVRadmin/AryaBhatta-GemmaOrca-Merged/bdf8f907-37ca-41ca-9a4e-f4dd446f895f.json
@@ -0,0 +1,132 @@
+{
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+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
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+  "model_info": {
+    "name": "AryaBhatta-GemmaOrca-Merged",
+    "id": "GenVRadmin/AryaBhatta-GemmaOrca-Merged",
+    "developer": "GenVRadmin",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "GemmaForCausalLM",
+      "params_billions": 8.538
+    }
+  },
+  "evaluation_results": [
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
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+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
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+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4131
+      }
+    },
+    {
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+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
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+        "max_score": 1.0
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+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+    {
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+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "max_score": 1.0
+      },
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+        "score": 0.2228
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/GenVRadmin/AryaBhatta-GemmaUltra-Merged/14a1872c-7afd-4cd4-ad87-853e4fc0847e.json b/data/hfopenllm_v2/GenVRadmin/AryaBhatta-GemmaUltra-Merged/14a1872c-7afd-4cd4-ad87-853e4fc0847e.json
new file mode 100644
index 000000000..88dd8d560
--- /dev/null
+++ b/data/hfopenllm_v2/GenVRadmin/AryaBhatta-GemmaUltra-Merged/14a1872c-7afd-4cd4-ad87-853e4fc0847e.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/GenVRadmin_AryaBhatta-GemmaUltra-Merged/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "AryaBhatta-GemmaUltra-Merged",
+    "id": "GenVRadmin/AryaBhatta-GemmaUltra-Merged",
+    "developer": "GenVRadmin",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "GemmaForCausalLM",
+      "params_billions": 8.538
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3021
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4141
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2534
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4279
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2266
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/GenVRadmin/llama38bGenZ_Vikas-Merged/887e4ca9-ed48-4b33-b933-f8534a8d0377.json b/data/hfopenllm_v2/GenVRadmin/llama38bGenZ_Vikas-Merged/887e4ca9-ed48-4b33-b933-f8534a8d0377.json
new file mode 100644
index 000000000..0c72024f8
--- /dev/null
+++ b/data/hfopenllm_v2/GenVRadmin/llama38bGenZ_Vikas-Merged/887e4ca9-ed48-4b33-b933-f8534a8d0377.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/GenVRadmin_llama38bGenZ_Vikas-Merged/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "llama38bGenZ_Vikas-Merged",
+    "id": "GenVRadmin/llama38bGenZ_Vikas-Merged",
+    "developer": "GenVRadmin",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4536
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0574
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2953
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4402
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2622
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/GoToCompany/gemma2-9b-cpt-sahabatai-v1-instruct/68ff0a5c-9e76-410b-a4e3-4b7de0e7fe35.json b/data/hfopenllm_v2/GoToCompany/gemma2-9b-cpt-sahabatai-v1-instruct/68ff0a5c-9e76-410b-a4e3-4b7de0e7fe35.json
deleted file mode 100644
index 9d09b4d5f..000000000
--- a/data/hfopenllm_v2/GoToCompany/gemma2-9b-cpt-sahabatai-v1-instruct/68ff0a5c-9e76-410b-a4e3-4b7de0e7fe35.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/GoToCompany_gemma2-9b-cpt-sahabatai-v1-instruct/1762652579.628178",
-  "retrieved_timestamp": "1762652579.628178",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "GoToCompany/gemma2-9b-cpt-sahabatai-v1-instruct",
-    "developer": "GoToCompany",
-    "inference_platform": "unknown",
-    "id": "GoToCompany/gemma2-9b-cpt-sahabatai-v1-instruct",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Gemma2ForCausalLM",
-      "params_billions": 9.242
-    }
-  },
-  "evaluation_results": [
-    {
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-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
-        "score": 0.6550607942481504
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-    {
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3347315436241611
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4778645833333333
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4263630319148936
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/GoToCompany/gemma2-9b-cpt-sahabatai-v1-instruct/c585488d-4043-482f-b1fa-4a61e96f7f0f.json b/data/hfopenllm_v2/GoToCompany/gemma2-9b-cpt-sahabatai-v1-instruct/c585488d-4043-482f-b1fa-4a61e96f7f0f.json
new file mode 100644
index 000000000..99a5c1561
--- /dev/null
+++ b/data/hfopenllm_v2/GoToCompany/gemma2-9b-cpt-sahabatai-v1-instruct/c585488d-4043-482f-b1fa-4a61e96f7f0f.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/GoToCompany_gemma2-9b-cpt-sahabatai-v1-instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "gemma2-9b-cpt-sahabatai-v1-instruct",
+    "id": "GoToCompany/gemma2-9b-cpt-sahabatai-v1-instruct",
+    "developer": "GoToCompany",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Gemma2ForCausalLM",
+      "params_billions": 9.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6551
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5955
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2054
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3347
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4779
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4264
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/GoToCompany/llama3-8b-cpt-sahabatai-v1-instruct/aa363693-a300-4545-b7f3-05492646c202.json b/data/hfopenllm_v2/GoToCompany/llama3-8b-cpt-sahabatai-v1-instruct/aa363693-a300-4545-b7f3-05492646c202.json
deleted file mode 100644
index a20ac8cc1..000000000
--- a/data/hfopenllm_v2/GoToCompany/llama3-8b-cpt-sahabatai-v1-instruct/aa363693-a300-4545-b7f3-05492646c202.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/GoToCompany_llama3-8b-cpt-sahabatai-v1-instruct/1762652579.628486",
-  "retrieved_timestamp": "1762652579.628489",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "GoToCompany/llama3-8b-cpt-sahabatai-v1-instruct",
-    "developer": "GoToCompany",
-    "inference_platform": "unknown",
-    "id": "GoToCompany/llama3-8b-cpt-sahabatai-v1-instruct",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.523844510343666
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4951292004509417
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.12764350453172205
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.26677852348993286
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.44884375
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3453291223404255
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/GoToCompany/llama3-8b-cpt-sahabatai-v1-instruct/d64541f6-19ef-4f04-a991-93efec6fe24f.json b/data/hfopenllm_v2/GoToCompany/llama3-8b-cpt-sahabatai-v1-instruct/d64541f6-19ef-4f04-a991-93efec6fe24f.json
new file mode 100644
index 000000000..e5f54c812
--- /dev/null
+++ b/data/hfopenllm_v2/GoToCompany/llama3-8b-cpt-sahabatai-v1-instruct/d64541f6-19ef-4f04-a991-93efec6fe24f.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/GoToCompany_llama3-8b-cpt-sahabatai-v1-instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "llama3-8b-cpt-sahabatai-v1-instruct",
+    "id": "GoToCompany/llama3-8b-cpt-sahabatai-v1-instruct",
+    "developer": "GoToCompany",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5238
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4951
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1276
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2668
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4488
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3453
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Goekdeniz-Guelmez/Josiefied-Qwen2.5-0.5B-Instruct-abliterated-v1/1b9a4b84-1766-49ca-bd11-17a2340b9736.json b/data/hfopenllm_v2/Goekdeniz-Guelmez/Josiefied-Qwen2.5-0.5B-Instruct-abliterated-v1/1b9a4b84-1766-49ca-bd11-17a2340b9736.json
deleted file mode 100644
index 82bce9580..000000000
--- a/data/hfopenllm_v2/Goekdeniz-Guelmez/Josiefied-Qwen2.5-0.5B-Instruct-abliterated-v1/1b9a4b84-1766-49ca-bd11-17a2340b9736.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Goekdeniz-Guelmez_Josiefied-Qwen2.5-0.5B-Instruct-abliterated-v1/1762652579.6293938",
-  "retrieved_timestamp": "1762652579.629396",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Goekdeniz-Guelmez/Josiefied-Qwen2.5-0.5B-Instruct-abliterated-v1",
-    "developer": "Goekdeniz-Guelmez",
-    "inference_platform": "unknown",
-    "id": "Goekdeniz-Guelmez/Josiefied-Qwen2.5-0.5B-Instruct-abliterated-v1",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 0.63
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3416944817528602
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.32921013057720044
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.002265861027190332
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2575503355704698
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3249166666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.16381316489361702
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Goekdeniz-Guelmez/Josiefied-Qwen2.5-0.5B-Instruct-abliterated-v1/1c13e194-8bee-4456-a249-f71e7e34b0eb.json b/data/hfopenllm_v2/Goekdeniz-Guelmez/Josiefied-Qwen2.5-0.5B-Instruct-abliterated-v1/1c13e194-8bee-4456-a249-f71e7e34b0eb.json
new file mode 100644
index 000000000..db3383a91
--- /dev/null
+++ b/data/hfopenllm_v2/Goekdeniz-Guelmez/Josiefied-Qwen2.5-0.5B-Instruct-abliterated-v1/1c13e194-8bee-4456-a249-f71e7e34b0eb.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Goekdeniz-Guelmez_Josiefied-Qwen2.5-0.5B-Instruct-abliterated-v1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Josiefied-Qwen2.5-0.5B-Instruct-abliterated-v1",
+    "id": "Goekdeniz-Guelmez/Josiefied-Qwen2.5-0.5B-Instruct-abliterated-v1",
+    "developer": "Goekdeniz-Guelmez",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 0.63
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3417
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3292
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0023
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2576
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3249
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1638
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Goekdeniz-Guelmez/Josiefied-Qwen2.5-0.5B-Instruct-abliterated-v1/1d3db737-20e7-4da1-a311-e60de0b41c93.json b/data/hfopenllm_v2/Goekdeniz-Guelmez/Josiefied-Qwen2.5-0.5B-Instruct-abliterated-v1/1d3db737-20e7-4da1-a311-e60de0b41c93.json
new file mode 100644
index 000000000..a0e2c50db
--- /dev/null
+++ b/data/hfopenllm_v2/Goekdeniz-Guelmez/Josiefied-Qwen2.5-0.5B-Instruct-abliterated-v1/1d3db737-20e7-4da1-a311-e60de0b41c93.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Goekdeniz-Guelmez_Josiefied-Qwen2.5-0.5B-Instruct-abliterated-v1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Josiefied-Qwen2.5-0.5B-Instruct-abliterated-v1",
+    "id": "Goekdeniz-Guelmez/Josiefied-Qwen2.5-0.5B-Instruct-abliterated-v1",
+    "developer": "Goekdeniz-Guelmez",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 0.63
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3472
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3268
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0891
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2517
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3262
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1641
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Goekdeniz-Guelmez/Josiefied-Qwen2.5-0.5B-Instruct-abliterated-v1/235adbd2-8128-4428-af57-8d8e310ba56f.json b/data/hfopenllm_v2/Goekdeniz-Guelmez/Josiefied-Qwen2.5-0.5B-Instruct-abliterated-v1/235adbd2-8128-4428-af57-8d8e310ba56f.json
deleted file mode 100644
index 01ae949de..000000000
--- a/data/hfopenllm_v2/Goekdeniz-Guelmez/Josiefied-Qwen2.5-0.5B-Instruct-abliterated-v1/235adbd2-8128-4428-af57-8d8e310ba56f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Goekdeniz-Guelmez_Josiefied-Qwen2.5-0.5B-Instruct-abliterated-v1/1762652579.629041",
-  "retrieved_timestamp": "1762652579.629042",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Goekdeniz-Guelmez/Josiefied-Qwen2.5-0.5B-Instruct-abliterated-v1",
-    "developer": "Goekdeniz-Guelmez",
-    "inference_platform": "unknown",
-    "id": "Goekdeniz-Guelmez/Josiefied-Qwen2.5-0.5B-Instruct-abliterated-v1",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 0.63
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.347189900574919
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.32683063456958195
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.0891238670694864
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2516778523489933
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.32625
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.16414561170212766
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Goekdeniz-Guelmez/Josiefied-Qwen2.5-1.5B-Instruct-abliterated-v1/7b73d50e-358b-4961-8b58-63765ce5a82a.json b/data/hfopenllm_v2/Goekdeniz-Guelmez/Josiefied-Qwen2.5-1.5B-Instruct-abliterated-v1/7b73d50e-358b-4961-8b58-63765ce5a82a.json
new file mode 100644
index 000000000..6da2363a1
--- /dev/null
+++ b/data/hfopenllm_v2/Goekdeniz-Guelmez/Josiefied-Qwen2.5-1.5B-Instruct-abliterated-v1/7b73d50e-358b-4961-8b58-63765ce5a82a.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Goekdeniz-Guelmez_Josiefied-Qwen2.5-1.5B-Instruct-abliterated-v1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Josiefied-Qwen2.5-1.5B-Instruct-abliterated-v1",
+    "id": "Goekdeniz-Guelmez/Josiefied-Qwen2.5-1.5B-Instruct-abliterated-v1",
+    "developer": "Goekdeniz-Guelmez",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 1.777
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4769
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4186
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2085
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2433
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3675
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2783
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Goekdeniz-Guelmez/Josiefied-Qwen2.5-1.5B-Instruct-abliterated-v1/a82acc9c-4093-4e0d-a862-7d6eb3cb7146.json b/data/hfopenllm_v2/Goekdeniz-Guelmez/Josiefied-Qwen2.5-1.5B-Instruct-abliterated-v1/a82acc9c-4093-4e0d-a862-7d6eb3cb7146.json
deleted file mode 100644
index 484b2e4f9..000000000
--- a/data/hfopenllm_v2/Goekdeniz-Guelmez/Josiefied-Qwen2.5-1.5B-Instruct-abliterated-v1/a82acc9c-4093-4e0d-a862-7d6eb3cb7146.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Goekdeniz-Guelmez_Josiefied-Qwen2.5-1.5B-Instruct-abliterated-v1/1762652579.629639",
-  "retrieved_timestamp": "1762652579.6296399",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Goekdeniz-Guelmez/Josiefied-Qwen2.5-1.5B-Instruct-abliterated-v1",
-    "developer": "Goekdeniz-Guelmez",
-    "inference_platform": "unknown",
-    "id": "Goekdeniz-Guelmez/Josiefied-Qwen2.5-1.5B-Instruct-abliterated-v1",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 1.777
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.47685806992114255
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.418600731531926
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2084592145015106
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.24328859060402686
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3674895833333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.27825797872340424
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Goekdeniz-Guelmez/Josiefied-Qwen2.5-1.5B-Instruct-abliterated-v2/81dfd69c-cf01-4114-8157-fd09af6f490c.json b/data/hfopenllm_v2/Goekdeniz-Guelmez/Josiefied-Qwen2.5-1.5B-Instruct-abliterated-v2/81dfd69c-cf01-4114-8157-fd09af6f490c.json
new file mode 100644
index 000000000..5793c4f9c
--- /dev/null
+++ b/data/hfopenllm_v2/Goekdeniz-Guelmez/Josiefied-Qwen2.5-1.5B-Instruct-abliterated-v2/81dfd69c-cf01-4114-8157-fd09af6f490c.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Goekdeniz-Guelmez_Josiefied-Qwen2.5-1.5B-Instruct-abliterated-v2/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Josiefied-Qwen2.5-1.5B-Instruct-abliterated-v2",
+    "id": "Goekdeniz-Guelmez/Josiefied-Qwen2.5-1.5B-Instruct-abliterated-v2",
+    "developer": "Goekdeniz-Guelmez",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 1.544
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4216
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4042
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1269
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2399
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3769
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2562
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Goekdeniz-Guelmez/Josiefied-Qwen2.5-1.5B-Instruct-abliterated-v2/baae7cee-8b76-456f-96dc-5ac900a9a36e.json b/data/hfopenllm_v2/Goekdeniz-Guelmez/Josiefied-Qwen2.5-1.5B-Instruct-abliterated-v2/baae7cee-8b76-456f-96dc-5ac900a9a36e.json
deleted file mode 100644
index c2d402255..000000000
--- a/data/hfopenllm_v2/Goekdeniz-Guelmez/Josiefied-Qwen2.5-1.5B-Instruct-abliterated-v2/baae7cee-8b76-456f-96dc-5ac900a9a36e.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Goekdeniz-Guelmez_Josiefied-Qwen2.5-1.5B-Instruct-abliterated-v2/1762652579.629877",
-  "retrieved_timestamp": "1762652579.629878",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Goekdeniz-Guelmez/Josiefied-Qwen2.5-1.5B-Instruct-abliterated-v2",
-    "developer": "Goekdeniz-Guelmez",
-    "inference_platform": "unknown",
-    "id": "Goekdeniz-Guelmez/Josiefied-Qwen2.5-1.5B-Instruct-abliterated-v2",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 1.544
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.421553699738915
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.40418921704436744
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1268882175226586
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.23993288590604026
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37685416666666666
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.25615026595744683
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Goekdeniz-Guelmez/Josiefied-Qwen2.5-1.5B-Instruct-abliterated-v3/9363a90d-6ec7-4de2-af17-a3e3e25de7d9.json b/data/hfopenllm_v2/Goekdeniz-Guelmez/Josiefied-Qwen2.5-1.5B-Instruct-abliterated-v3/9363a90d-6ec7-4de2-af17-a3e3e25de7d9.json
deleted file mode 100644
index 21b718022..000000000
--- a/data/hfopenllm_v2/Goekdeniz-Guelmez/Josiefied-Qwen2.5-1.5B-Instruct-abliterated-v3/9363a90d-6ec7-4de2-af17-a3e3e25de7d9.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Goekdeniz-Guelmez_Josiefied-Qwen2.5-1.5B-Instruct-abliterated-v3/1762652579.630181",
-  "retrieved_timestamp": "1762652579.6301818",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Goekdeniz-Guelmez/Josiefied-Qwen2.5-1.5B-Instruct-abliterated-v3",
-    "developer": "Goekdeniz-Guelmez",
-    "inference_platform": "unknown",
-    "id": "Goekdeniz-Guelmez/Josiefied-Qwen2.5-1.5B-Instruct-abliterated-v3",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 1.544
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42525055740989465
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4053446177133173
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.13066465256797583
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.24328859060402686
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37018749999999995
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.25556848404255317
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Goekdeniz-Guelmez/Josiefied-Qwen2.5-1.5B-Instruct-abliterated-v3/f38240ab-35e4-431e-b4d5-b1b0e1d57c5f.json b/data/hfopenllm_v2/Goekdeniz-Guelmez/Josiefied-Qwen2.5-1.5B-Instruct-abliterated-v3/f38240ab-35e4-431e-b4d5-b1b0e1d57c5f.json
new file mode 100644
index 000000000..c4deee9bd
--- /dev/null
+++ b/data/hfopenllm_v2/Goekdeniz-Guelmez/Josiefied-Qwen2.5-1.5B-Instruct-abliterated-v3/f38240ab-35e4-431e-b4d5-b1b0e1d57c5f.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Goekdeniz-Guelmez_Josiefied-Qwen2.5-1.5B-Instruct-abliterated-v3/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Josiefied-Qwen2.5-1.5B-Instruct-abliterated-v3",
+    "id": "Goekdeniz-Guelmez/Josiefied-Qwen2.5-1.5B-Instruct-abliterated-v3",
+    "developer": "Goekdeniz-Guelmez",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 1.544
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4253
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4053
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1307
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2433
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3702
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2556
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Goekdeniz-Guelmez/Josiefied-Qwen2.5-14B-Instruct-abliterated-v4/01863b4f-9550-49c3-ad83-74c0bb535eb9.json b/data/hfopenllm_v2/Goekdeniz-Guelmez/Josiefied-Qwen2.5-14B-Instruct-abliterated-v4/01863b4f-9550-49c3-ad83-74c0bb535eb9.json
new file mode 100644
index 000000000..42f6949ab
--- /dev/null
+++ b/data/hfopenllm_v2/Goekdeniz-Guelmez/Josiefied-Qwen2.5-14B-Instruct-abliterated-v4/01863b4f-9550-49c3-ad83-74c0bb535eb9.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Goekdeniz-Guelmez_Josiefied-Qwen2.5-14B-Instruct-abliterated-v4/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Josiefied-Qwen2.5-14B-Instruct-abliterated-v4",
+    "id": "Goekdeniz-Guelmez/Josiefied-Qwen2.5-14B-Instruct-abliterated-v4",
+    "developer": "Goekdeniz-Guelmez",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.77
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.8292
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6356
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5423
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3423
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4287
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5018
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Goekdeniz-Guelmez/Josiefied-Qwen2.5-14B-Instruct-abliterated-v4/af440c67-78de-4053-98d8-8cded9657860.json b/data/hfopenllm_v2/Goekdeniz-Guelmez/Josiefied-Qwen2.5-14B-Instruct-abliterated-v4/af440c67-78de-4053-98d8-8cded9657860.json
deleted file mode 100644
index 0c17b12de..000000000
--- a/data/hfopenllm_v2/Goekdeniz-Guelmez/Josiefied-Qwen2.5-14B-Instruct-abliterated-v4/af440c67-78de-4053-98d8-8cded9657860.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Goekdeniz-Guelmez_Josiefied-Qwen2.5-14B-Instruct-abliterated-v4/1762652579.6304152",
-  "retrieved_timestamp": "1762652579.630416",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Goekdeniz-Guelmez/Josiefied-Qwen2.5-14B-Instruct-abliterated-v4",
-    "developer": "Goekdeniz-Guelmez",
-    "inference_platform": "unknown",
-    "id": "Goekdeniz-Guelmez/Josiefied-Qwen2.5-14B-Instruct-abliterated-v4",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 14.77
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.8291666112581284
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6355637424320617
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5422960725075529
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
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-        "max_score": 1
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-      "score_details": {
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-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
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-        "max_score": 1
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-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
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-        "max_score": 1
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-}
diff --git a/data/hfopenllm_v2/Goekdeniz-Guelmez/Josiefied-Qwen2.5-7B-Instruct-abliterated-v2/9c443687-99df-4cd9-8e19-d40cd83b30bc.json b/data/hfopenllm_v2/Goekdeniz-Guelmez/Josiefied-Qwen2.5-7B-Instruct-abliterated-v2/9c443687-99df-4cd9-8e19-d40cd83b30bc.json
deleted file mode 100644
index c374d65ef..000000000
--- a/data/hfopenllm_v2/Goekdeniz-Guelmez/Josiefied-Qwen2.5-7B-Instruct-abliterated-v2/9c443687-99df-4cd9-8e19-d40cd83b30bc.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Goekdeniz-Guelmez_Josiefied-Qwen2.5-7B-Instruct-abliterated-v2/1762652579.630644",
-  "retrieved_timestamp": "1762652579.630645",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Goekdeniz-Guelmez/Josiefied-Qwen2.5-7B-Instruct-abliterated-v2",
-    "developer": "Goekdeniz-Guelmez",
-    "inference_platform": "unknown",
-    "id": "Goekdeniz-Guelmez/Josiefied-Qwen2.5-7B-Instruct-abliterated-v2",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.616
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7813811797142693
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.45317220543806647
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2986577181208054
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.43539583333333337
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4119847074468085
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Goekdeniz-Guelmez/Josiefied-Qwen2.5-7B-Instruct-abliterated-v2/edd25437-38bc-443c-9da3-bc041270447e.json b/data/hfopenllm_v2/Goekdeniz-Guelmez/Josiefied-Qwen2.5-7B-Instruct-abliterated-v2/edd25437-38bc-443c-9da3-bc041270447e.json
new file mode 100644
index 000000000..0afe4d3d1
--- /dev/null
+++ b/data/hfopenllm_v2/Goekdeniz-Guelmez/Josiefied-Qwen2.5-7B-Instruct-abliterated-v2/edd25437-38bc-443c-9da3-bc041270447e.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Goekdeniz-Guelmez_Josiefied-Qwen2.5-7B-Instruct-abliterated-v2/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Josiefied-Qwen2.5-7B-Instruct-abliterated-v2",
+    "id": "Goekdeniz-Guelmez/Josiefied-Qwen2.5-7B-Instruct-abliterated-v2",
+    "developer": "Goekdeniz-Guelmez",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7814
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.531
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4532
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2987
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4354
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.412
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Goekdeniz-Guelmez/j.o.s.i.e.v4o-1.5b-dpo-stage1-v1/31836d43-5022-488f-ba9e-379195809069.json b/data/hfopenllm_v2/Goekdeniz-Guelmez/j.o.s.i.e.v4o-1.5b-dpo-stage1-v1/31836d43-5022-488f-ba9e-379195809069.json
new file mode 100644
index 000000000..85cf3c248
--- /dev/null
+++ b/data/hfopenllm_v2/Goekdeniz-Guelmez/j.o.s.i.e.v4o-1.5b-dpo-stage1-v1/31836d43-5022-488f-ba9e-379195809069.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Goekdeniz-Guelmez_j.o.s.i.e.v4o-1.5b-dpo-stage1-v1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "j.o.s.i.e.v4o-1.5b-dpo-stage1-v1",
+    "id": "Goekdeniz-Guelmez/j.o.s.i.e.v4o-1.5b-dpo-stage1-v1",
+    "developer": "Goekdeniz-Guelmez",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 1.544
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4188
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4124
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1201
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2508
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3529
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2555
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Goekdeniz-Guelmez/j.o.s.i.e.v4o-1.5b-dpo-stage1-v1/b6bf7c36-006c-4256-a315-1de70e2540c3.json b/data/hfopenllm_v2/Goekdeniz-Guelmez/j.o.s.i.e.v4o-1.5b-dpo-stage1-v1/b6bf7c36-006c-4256-a315-1de70e2540c3.json
deleted file mode 100644
index 99963b087..000000000
--- a/data/hfopenllm_v2/Goekdeniz-Guelmez/j.o.s.i.e.v4o-1.5b-dpo-stage1-v1/b6bf7c36-006c-4256-a315-1de70e2540c3.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Goekdeniz-Guelmez_j.o.s.i.e.v4o-1.5b-dpo-stage1-v1/1762652579.631213",
-  "retrieved_timestamp": "1762652579.631215",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Goekdeniz-Guelmez/j.o.s.i.e.v4o-1.5b-dpo-stage1-v1",
-    "developer": "Goekdeniz-Guelmez",
-    "inference_platform": "unknown",
-    "id": "Goekdeniz-Guelmez/j.o.s.i.e.v4o-1.5b-dpo-stage1-v1",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 1.544
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41883092417009093
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41242101633634826
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.12009063444108761
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.25083892617449666
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3528541666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2554853723404255
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Goekdeniz-Guelmez/josie-3b-v6.0/2a5a3ed6-7137-49e2-a141-497ceba88757.json b/data/hfopenllm_v2/Goekdeniz-Guelmez/josie-3b-v6.0/2a5a3ed6-7137-49e2-a141-497ceba88757.json
new file mode 100644
index 000000000..492ac7214
--- /dev/null
+++ b/data/hfopenllm_v2/Goekdeniz-Guelmez/josie-3b-v6.0/2a5a3ed6-7137-49e2-a141-497ceba88757.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Goekdeniz-Guelmez_josie-3b-v6.0/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "josie-3b-v6.0",
+    "id": "Goekdeniz-Guelmez/josie-3b-v6.0",
+    "developer": "Goekdeniz-Guelmez",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 3.086
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.601
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4496
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2938
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2903
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3861
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.322
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Goekdeniz-Guelmez/josie-3b-v6.0/89947a58-5e39-468e-bbbc-2f3556a1c8f1.json b/data/hfopenllm_v2/Goekdeniz-Guelmez/josie-3b-v6.0/89947a58-5e39-468e-bbbc-2f3556a1c8f1.json
deleted file mode 100644
index b275c5d18..000000000
--- a/data/hfopenllm_v2/Goekdeniz-Guelmez/josie-3b-v6.0/89947a58-5e39-468e-bbbc-2f3556a1c8f1.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Goekdeniz-Guelmez_josie-3b-v6.0/1762652579.631514",
-  "retrieved_timestamp": "1762652579.6315148",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Goekdeniz-Guelmez/josie-3b-v6.0",
-    "developer": "Goekdeniz-Guelmez",
-    "inference_platform": "unknown",
-    "id": "Goekdeniz-Guelmez/josie-3b-v6.0",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 3.086
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6009554648333089
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4496147842264783
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2938066465256798
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2902684563758389
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.386125
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.32197473404255317
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Goekdeniz-Guelmez/josie-7b-v6.0-step2000/0b1c6aa6-b94e-4400-9b0d-c39aa1bcd808.json b/data/hfopenllm_v2/Goekdeniz-Guelmez/josie-7b-v6.0-step2000/0b1c6aa6-b94e-4400-9b0d-c39aa1bcd808.json
new file mode 100644
index 000000000..55f207668
--- /dev/null
+++ b/data/hfopenllm_v2/Goekdeniz-Guelmez/josie-7b-v6.0-step2000/0b1c6aa6-b94e-4400-9b0d-c39aa1bcd808.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Goekdeniz-Guelmez_josie-7b-v6.0-step2000/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "josie-7b-v6.0-step2000",
+    "id": "Goekdeniz-Guelmez/josie-7b-v6.0-step2000",
+    "developer": "Goekdeniz-Guelmez",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7598
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5107
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4237
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2768
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4539
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4012
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Goekdeniz-Guelmez/josie-7b-v6.0-step2000/69423132-adc9-4b97-b799-15f37de1d7e5.json b/data/hfopenllm_v2/Goekdeniz-Guelmez/josie-7b-v6.0-step2000/69423132-adc9-4b97-b799-15f37de1d7e5.json
new file mode 100644
index 000000000..8561cb840
--- /dev/null
+++ b/data/hfopenllm_v2/Goekdeniz-Guelmez/josie-7b-v6.0-step2000/69423132-adc9-4b97-b799-15f37de1d7e5.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Goekdeniz-Guelmez_josie-7b-v6.0-step2000/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "josie-7b-v6.0-step2000",
+    "id": "Goekdeniz-Guelmez/josie-7b-v6.0-step2000",
+    "developer": "Goekdeniz-Guelmez",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7628
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5098
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2802
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4579
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4033
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Goekdeniz-Guelmez/josie-7b-v6.0-step2000/7c2cc003-fab3-4fc9-a6b6-fb7075261e50.json b/data/hfopenllm_v2/Goekdeniz-Guelmez/josie-7b-v6.0-step2000/7c2cc003-fab3-4fc9-a6b6-fb7075261e50.json
deleted file mode 100644
index 816b2eae7..000000000
--- a/data/hfopenllm_v2/Goekdeniz-Guelmez/josie-7b-v6.0-step2000/7c2cc003-fab3-4fc9-a6b6-fb7075261e50.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Goekdeniz-Guelmez_josie-7b-v6.0-step2000/1762652579.6322381",
-  "retrieved_timestamp": "1762652579.632239",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Goekdeniz-Guelmez/josie-7b-v6.0-step2000",
-    "developer": "Goekdeniz-Guelmez",
-    "inference_platform": "unknown",
-    "id": "Goekdeniz-Guelmez/josie-7b-v6.0-step2000",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.616
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7597740661444966
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.510712680636641
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42371601208459214
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.27684563758389263
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.45393750000000005
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4011801861702128
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Goekdeniz-Guelmez/josie-7b-v6.0-step2000/90d4e4e1-2185-4d21-8730-f1a4bf413157.json b/data/hfopenllm_v2/Goekdeniz-Guelmez/josie-7b-v6.0-step2000/90d4e4e1-2185-4d21-8730-f1a4bf413157.json
deleted file mode 100644
index c35e9d253..000000000
--- a/data/hfopenllm_v2/Goekdeniz-Guelmez/josie-7b-v6.0-step2000/90d4e4e1-2185-4d21-8730-f1a4bf413157.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Goekdeniz-Guelmez_josie-7b-v6.0-step2000/1762652579.632",
-  "retrieved_timestamp": "1762652579.632001",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Goekdeniz-Guelmez/josie-7b-v6.0-step2000",
-    "developer": "Goekdeniz-Guelmez",
-    "inference_platform": "unknown",
-    "id": "Goekdeniz-Guelmez/josie-7b-v6.0-step2000",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.616
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7627716680629618
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5097811950503962
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.0
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
-        "score": 0.2802013422818792
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.45793750000000005
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.40325797872340424
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Goekdeniz-Guelmez/josie-7b-v6.0/54d5bf0f-7c4c-40b1-bca6-5484ef8e2a04.json b/data/hfopenllm_v2/Goekdeniz-Guelmez/josie-7b-v6.0/54d5bf0f-7c4c-40b1-bca6-5484ef8e2a04.json
new file mode 100644
index 000000000..359a9fc74
--- /dev/null
+++ b/data/hfopenllm_v2/Goekdeniz-Guelmez/josie-7b-v6.0/54d5bf0f-7c4c-40b1-bca6-5484ef8e2a04.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Goekdeniz-Guelmez_josie-7b-v6.0/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "josie-7b-v6.0",
+    "id": "Goekdeniz-Guelmez/josie-7b-v6.0",
+    "developer": "Goekdeniz-Guelmez",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7412
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5105
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4358
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2827
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4154
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3807
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Goekdeniz-Guelmez/josie-7b-v6.0/aa158f5d-94a5-4f40-8a65-87fe9605abc1.json b/data/hfopenllm_v2/Goekdeniz-Guelmez/josie-7b-v6.0/aa158f5d-94a5-4f40-8a65-87fe9605abc1.json
deleted file mode 100644
index 1dcbc126e..000000000
--- a/data/hfopenllm_v2/Goekdeniz-Guelmez/josie-7b-v6.0/aa158f5d-94a5-4f40-8a65-87fe9605abc1.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Goekdeniz-Guelmez_josie-7b-v6.0/1762652579.631763",
-  "retrieved_timestamp": "1762652579.631764",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Goekdeniz-Guelmez/josie-7b-v6.0",
-    "developer": "Goekdeniz-Guelmez",
-    "inference_platform": "unknown",
-    "id": "Goekdeniz-Guelmez/josie-7b-v6.0",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.616
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7411645544931892
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5104855208094123
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.43580060422960726
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2827181208053691
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41539583333333335
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3806515957446808
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/GreenNode/GreenNode-small-9B-it/cfe8f9c7-e9bf-4a17-afa0-d5b8f46d24e7.json b/data/hfopenllm_v2/GreenNode/GreenNode-small-9B-it/cfe8f9c7-e9bf-4a17-afa0-d5b8f46d24e7.json
new file mode 100644
index 000000000..847a2aed3
--- /dev/null
+++ b/data/hfopenllm_v2/GreenNode/GreenNode-small-9B-it/cfe8f9c7-e9bf-4a17-afa0-d5b8f46d24e7.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/GreenNode_GreenNode-small-9B-it/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "GreenNode-small-9B-it",
+    "id": "GreenNode/GreenNode-small-9B-it",
+    "developer": "GreenNode",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Gemma2ForCausalLM",
+      "params_billions": 9.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7436
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5994
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1745
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3196
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4204
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3927
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/GreenNode/GreenNode-small-9B-it/d13def83-5ff8-4cde-aef5-b3c268c40c16.json b/data/hfopenllm_v2/GreenNode/GreenNode-small-9B-it/d13def83-5ff8-4cde-aef5-b3c268c40c16.json
deleted file mode 100644
index 142863316..000000000
--- a/data/hfopenllm_v2/GreenNode/GreenNode-small-9B-it/d13def83-5ff8-4cde-aef5-b3c268c40c16.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/GreenNode_GreenNode-small-9B-it/1762652579.6324449",
-  "retrieved_timestamp": "1762652579.632446",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "GreenNode/GreenNode-small-9B-it",
-    "developer": "GreenNode",
-    "inference_platform": "unknown",
-    "id": "GreenNode/GreenNode-small-9B-it",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Gemma2ForCausalLM",
-      "params_billions": 9.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7436125037123721
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.599383874005197
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.17447129909365558
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3196308724832215
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42041666666666666
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3927027925531915
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/GritLM/GritLM-7B-KTO/6d7f26d7-2336-4def-9d17-09d30a89e02d.json b/data/hfopenllm_v2/GritLM/GritLM-7B-KTO/6d7f26d7-2336-4def-9d17-09d30a89e02d.json
deleted file mode 100644
index c495ce349..000000000
--- a/data/hfopenllm_v2/GritLM/GritLM-7B-KTO/6d7f26d7-2336-4def-9d17-09d30a89e02d.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/GritLM_GritLM-7B-KTO/1762652579.632807",
-  "retrieved_timestamp": "1762652579.632808",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "GritLM/GritLM-7B-KTO",
-    "developer": "GritLM",
-    "inference_platform": "unknown",
-    "id": "GritLM/GritLM-7B-KTO",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5310132670203948
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.485293719684692
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37102083333333336
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.26803523936170215
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/GritLM/GritLM-7B-KTO/7fbc0323-1c78-46b6-a08a-6e5870c64e53.json b/data/hfopenllm_v2/GritLM/GritLM-7B-KTO/7fbc0323-1c78-46b6-a08a-6e5870c64e53.json
new file mode 100644
index 000000000..054831436
--- /dev/null
+++ b/data/hfopenllm_v2/GritLM/GritLM-7B-KTO/7fbc0323-1c78-46b6-a08a-6e5870c64e53.json
@@ -0,0 +1,132 @@
+{
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+  "source_metadata": {
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+    "source_type": "documentation",
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+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
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+    "developer": "GritLM",
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+    }
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+  "evaluation_results": [
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+        "max_score": 1.0
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+      }
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+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+    {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
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+      },
+      "metric_config": {
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+        "lower_is_better": false,
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+      }
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+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/GritLM/GritLM-8x7B-KTO/1c769f0d-b99d-4b82-a529-f5264f7b3349.json b/data/hfopenllm_v2/GritLM/GritLM-8x7B-KTO/1c769f0d-b99d-4b82-a529-f5264f7b3349.json
new file mode 100644
index 000000000..9c52b15ad
--- /dev/null
+++ b/data/hfopenllm_v2/GritLM/GritLM-8x7B-KTO/1c769f0d-b99d-4b82-a529-f5264f7b3349.json
@@ -0,0 +1,132 @@
+{
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+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "GritLM-8x7B-KTO",
+    "id": "GritLM/GritLM-8x7B-KTO",
+    "developer": "GritLM",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MixtralForCausalLM",
+      "params_billions": 46.703
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
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+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+      "score_details": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.582
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
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+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
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+        "score_type": "continuous",
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
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+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/GritLM/GritLM-8x7B-KTO/de98eb82-0606-46b8-bbfb-d054a0f6ef2c.json b/data/hfopenllm_v2/GritLM/GritLM-8x7B-KTO/de98eb82-0606-46b8-bbfb-d054a0f6ef2c.json
deleted file mode 100644
index af47ac2e7..000000000
--- a/data/hfopenllm_v2/GritLM/GritLM-8x7B-KTO/de98eb82-0606-46b8-bbfb-d054a0f6ef2c.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
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-    "developer": "GritLM",
-    "inference_platform": "unknown",
-    "id": "GritLM/GritLM-8x7B-KTO",
-    "additional_details": {
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-      "architecture": "MixtralForCausalLM",
-      "params_billions": 46.703
-    }
-  },
-  "evaluation_results": [
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diff --git a/data/hfopenllm_v2/Groq/Llama-3-Groq-8B-Tool-Use/a9365685-e299-48e2-931a-c63e123a9e00.json b/data/hfopenllm_v2/Groq/Llama-3-Groq-8B-Tool-Use/a9365685-e299-48e2-931a-c63e123a9e00.json
new file mode 100644
index 000000000..1407a69b5
--- /dev/null
+++ b/data/hfopenllm_v2/Groq/Llama-3-Groq-8B-Tool-Use/a9365685-e299-48e2-931a-c63e123a9e00.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Groq_Llama-3-Groq-8B-Tool-Use/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-3-Groq-8B-Tool-Use",
+    "id": "Groq/Llama-3-Groq-8B-Tool-Use",
+    "developer": "Groq",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
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+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+    },
+    {
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+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
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+        "score_type": "continuous",
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+        "max_score": 1.0
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+        "score": 0.0604
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+    },
+    {
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2676
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.366
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3399
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Gryphe/Pantheon-RP-1.0-8b-Llama-3/bdf2d61a-daa1-4b1f-9245-43ff263540fb.json b/data/hfopenllm_v2/Gryphe/Pantheon-RP-1.0-8b-Llama-3/bdf2d61a-daa1-4b1f-9245-43ff263540fb.json
new file mode 100644
index 000000000..7c3f4b4a5
--- /dev/null
+++ b/data/hfopenllm_v2/Gryphe/Pantheon-RP-1.0-8b-Llama-3/bdf2d61a-daa1-4b1f-9245-43ff263540fb.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Gryphe_Pantheon-RP-1.0-8b-Llama-3/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Pantheon-RP-1.0-8b-Llama-3",
+    "id": "Gryphe/Pantheon-RP-1.0-8b-Llama-3",
+    "developer": "Gryphe",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3933
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4539
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+    },
+    {
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+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
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+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3067
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Gryphe/Pantheon-RP-1.5-12b-Nemo/f0b4eef9-dab2-48e2-87f8-ad83ec33ec23.json b/data/hfopenllm_v2/Gryphe/Pantheon-RP-1.5-12b-Nemo/f0b4eef9-dab2-48e2-87f8-ad83ec33ec23.json
new file mode 100644
index 000000000..5c8283525
--- /dev/null
+++ b/data/hfopenllm_v2/Gryphe/Pantheon-RP-1.5-12b-Nemo/f0b4eef9-dab2-48e2-87f8-ad83ec33ec23.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Gryphe_Pantheon-RP-1.5-12b-Nemo/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Pantheon-RP-1.5-12b-Nemo",
+    "id": "Gryphe/Pantheon-RP-1.5-12b-Nemo",
+    "developer": "Gryphe",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 12.248
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4763
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5196
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0491
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2727
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.442
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3302
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Gryphe/Pantheon-RP-1.5-12b-Nemo/f9ed0b0f-6fa9-4450-97fe-204f6dc8d88a.json b/data/hfopenllm_v2/Gryphe/Pantheon-RP-1.5-12b-Nemo/f9ed0b0f-6fa9-4450-97fe-204f6dc8d88a.json
deleted file mode 100644
index 5e0ade0fc..000000000
--- a/data/hfopenllm_v2/Gryphe/Pantheon-RP-1.5-12b-Nemo/f9ed0b0f-6fa9-4450-97fe-204f6dc8d88a.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Gryphe_Pantheon-RP-1.5-12b-Nemo/1762652579.633812",
-  "retrieved_timestamp": "1762652579.633813",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Gryphe/Pantheon-RP-1.5-12b-Nemo",
-    "developer": "Gryphe",
-    "inference_platform": "unknown",
-    "id": "Gryphe/Pantheon-RP-1.5-12b-Nemo",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 12.248
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-  "evaluation_results": [
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-      "metric_config": {
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-        "min_score": 0,
-        "max_score": 1
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-        "score": 0.47630841722186024
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-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2726510067114094
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.44203125000000004
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3302027925531915
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Gryphe/Pantheon-RP-1.6-12b-Nemo-KTO/29e10491-8c34-4b7a-a0bd-77f6ca0dc54c.json b/data/hfopenllm_v2/Gryphe/Pantheon-RP-1.6-12b-Nemo-KTO/29e10491-8c34-4b7a-a0bd-77f6ca0dc54c.json
new file mode 100644
index 000000000..2a9bc0b72
--- /dev/null
+++ b/data/hfopenllm_v2/Gryphe/Pantheon-RP-1.6-12b-Nemo-KTO/29e10491-8c34-4b7a-a0bd-77f6ca0dc54c.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Gryphe_Pantheon-RP-1.6-12b-Nemo-KTO/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Pantheon-RP-1.6-12b-Nemo-KTO",
+    "id": "Gryphe/Pantheon-RP-1.6-12b-Nemo-KTO",
+    "developer": "Gryphe",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 12.248
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4636
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5277
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0529
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2953
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4248
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3382
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Gryphe/Pantheon-RP-1.6-12b-Nemo-KTO/a2445d2d-b8a2-44e4-9c74-7401e7afde75.json b/data/hfopenllm_v2/Gryphe/Pantheon-RP-1.6-12b-Nemo-KTO/a2445d2d-b8a2-44e4-9c74-7401e7afde75.json
deleted file mode 100644
index d6110f90a..000000000
--- a/data/hfopenllm_v2/Gryphe/Pantheon-RP-1.6-12b-Nemo-KTO/a2445d2d-b8a2-44e4-9c74-7401e7afde75.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Gryphe_Pantheon-RP-1.6-12b-Nemo-KTO/1762652579.634284",
-  "retrieved_timestamp": "1762652579.634285",
-  "source_data": [
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Gryphe/Pantheon-RP-1.6-12b-Nemo-KTO",
-    "developer": "Gryphe",
-    "inference_platform": "unknown",
-    "id": "Gryphe/Pantheon-RP-1.6-12b-Nemo-KTO",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 12.248
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-      "score_details": {
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-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
-        "score": 0.4247916666666667
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-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.33818151595744683
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Gryphe/Pantheon-RP-1.6-12b-Nemo/9a2ca2e5-a2e9-460f-b4dc-a6293ca13003.json b/data/hfopenllm_v2/Gryphe/Pantheon-RP-1.6-12b-Nemo/9a2ca2e5-a2e9-460f-b4dc-a6293ca13003.json
deleted file mode 100644
index bae9b1cff..000000000
--- a/data/hfopenllm_v2/Gryphe/Pantheon-RP-1.6-12b-Nemo/9a2ca2e5-a2e9-460f-b4dc-a6293ca13003.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Gryphe_Pantheon-RP-1.6-12b-Nemo/1762652579.634059",
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-  "source_data": [
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
-    "name": "Gryphe/Pantheon-RP-1.6-12b-Nemo",
-    "developer": "Gryphe",
-    "inference_platform": "unknown",
-    "id": "Gryphe/Pantheon-RP-1.6-12b-Nemo",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 12.248
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-  "evaluation_results": [
-    {
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-    {
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-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
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diff --git a/data/hfopenllm_v2/Gryphe/Pantheon-RP-1.6-12b-Nemo/c588d86a-80c4-46d1-93e0-b7fa8491f3b3.json b/data/hfopenllm_v2/Gryphe/Pantheon-RP-1.6-12b-Nemo/c588d86a-80c4-46d1-93e0-b7fa8491f3b3.json
new file mode 100644
index 000000000..36f59a731
--- /dev/null
+++ b/data/hfopenllm_v2/Gryphe/Pantheon-RP-1.6-12b-Nemo/c588d86a-80c4-46d1-93e0-b7fa8491f3b3.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Gryphe_Pantheon-RP-1.6-12b-Nemo/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
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+    "source_type": "documentation",
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+    "evaluator_relationship": "third_party"
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+  "model_info": {
+    "name": "Pantheon-RP-1.6-12b-Nemo",
+    "id": "Gryphe/Pantheon-RP-1.6-12b-Nemo",
+    "developer": "Gryphe",
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+    }
+  },
+  "evaluation_results": [
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
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+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4481
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5204
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+    },
+    {
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+      "source_data": {
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+        "hf_repo": "Idavidrein/gpqa"
+      },
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+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2777
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4288
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3311
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Gryphe/Pantheon-RP-Pure-1.6.2-22b-Small/0b11eb9a-61c8-4af1-8335-24bef2597e5d.json b/data/hfopenllm_v2/Gryphe/Pantheon-RP-Pure-1.6.2-22b-Small/0b11eb9a-61c8-4af1-8335-24bef2597e5d.json
new file mode 100644
index 000000000..672a5af34
--- /dev/null
+++ b/data/hfopenllm_v2/Gryphe/Pantheon-RP-Pure-1.6.2-22b-Small/0b11eb9a-61c8-4af1-8335-24bef2597e5d.json
@@ -0,0 +1,132 @@
+{
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+  "evaluation_id": "hfopenllm_v2/Gryphe_Pantheon-RP-Pure-1.6.2-22b-Small/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Pantheon-RP-Pure-1.6.2-22b-Small",
+    "id": "Gryphe/Pantheon-RP-Pure-1.6.2-22b-Small",
+    "developer": "Gryphe",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 22.247
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6931
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5305
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2024
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3289
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3765
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3942
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Gryphe/Pantheon-RP-Pure-1.6.2-22b-Small/f5f73aa0-2223-49c0-a2ad-df38ee33355b.json b/data/hfopenllm_v2/Gryphe/Pantheon-RP-Pure-1.6.2-22b-Small/f5f73aa0-2223-49c0-a2ad-df38ee33355b.json
deleted file mode 100644
index 7a5d165a2..000000000
--- a/data/hfopenllm_v2/Gryphe/Pantheon-RP-Pure-1.6.2-22b-Small/f5f73aa0-2223-49c0-a2ad-df38ee33355b.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Gryphe_Pantheon-RP-Pure-1.6.2-22b-Small/1762652579.6344929",
-  "retrieved_timestamp": "1762652579.6344929",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
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-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
-    "name": "Gryphe/Pantheon-RP-Pure-1.6.2-22b-Small",
-    "developer": "Gryphe",
-    "inference_platform": "unknown",
-    "id": "Gryphe/Pantheon-RP-Pure-1.6.2-22b-Small",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 22.247
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
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-        "lower_is_better": false,
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-        "lower_is_better": false,
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-        "min_score": 0,
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-      }
-    }
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-}
diff --git a/data/hfopenllm_v2/GuilhermeNaturaUmana/Nature-Reason-1.2-reallysmall/5aa1bdc6-4b8f-411f-9150-41217a94ec5e.json b/data/hfopenllm_v2/GuilhermeNaturaUmana/Nature-Reason-1.2-reallysmall/5aa1bdc6-4b8f-411f-9150-41217a94ec5e.json
deleted file mode 100644
index 3dd710ad5..000000000
--- a/data/hfopenllm_v2/GuilhermeNaturaUmana/Nature-Reason-1.2-reallysmall/5aa1bdc6-4b8f-411f-9150-41217a94ec5e.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/GuilhermeNaturaUmana_Nature-Reason-1.2-reallysmall/1762652579.63471",
-  "retrieved_timestamp": "1762652579.634711",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "GuilhermeNaturaUmana/Nature-Reason-1.2-reallysmall",
-    "developer": "GuilhermeNaturaUmana",
-    "inference_platform": "unknown",
-    "id": "GuilhermeNaturaUmana/Nature-Reason-1.2-reallysmall",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.616
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5644838945274894
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "GPQA",
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-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30033557046979864
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.43728125
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.44290226063829785
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/GuilhermeNaturaUmana/Nature-Reason-1.2-reallysmall/7d31e5fd-700a-42a8-bea8-8989e8c52603.json b/data/hfopenllm_v2/GuilhermeNaturaUmana/Nature-Reason-1.2-reallysmall/7d31e5fd-700a-42a8-bea8-8989e8c52603.json
new file mode 100644
index 000000000..51a98d10f
--- /dev/null
+++ b/data/hfopenllm_v2/GuilhermeNaturaUmana/Nature-Reason-1.2-reallysmall/7d31e5fd-700a-42a8-bea8-8989e8c52603.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/GuilhermeNaturaUmana_Nature-Reason-1.2-reallysmall/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Nature-Reason-1.2-reallysmall",
+    "id": "GuilhermeNaturaUmana/Nature-Reason-1.2-reallysmall",
+    "developer": "GuilhermeNaturaUmana",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4791
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5649
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.25
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2995
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4439
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4408
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/GuilhermeNaturaUmana/Nature-Reason-1.2-reallysmall/9ddf874c-16a9-4f66-a3c5-140f10bc4787.json b/data/hfopenllm_v2/GuilhermeNaturaUmana/Nature-Reason-1.2-reallysmall/9ddf874c-16a9-4f66-a3c5-140f10bc4787.json
deleted file mode 100644
index c8f80151c..000000000
--- a/data/hfopenllm_v2/GuilhermeNaturaUmana/Nature-Reason-1.2-reallysmall/9ddf874c-16a9-4f66-a3c5-140f10bc4787.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/GuilhermeNaturaUmana_Nature-Reason-1.2-reallysmall/1762652579.634963",
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new file mode 100644
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+++ b/data/hfopenllm_v2/HPAI-BSC/Llama3-Aloe-8B-Alpha/a4ee6a33-df51-4a4e-a13d-45488a094fd7.json
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/HPAI-BSC/Llama3.1-Aloe-Beta-8B/a3923f10-e64c-4556-9616-4fe7072eff60.json b/data/hfopenllm_v2/HPAI-BSC/Llama3.1-Aloe-Beta-8B/a3923f10-e64c-4556-9616-4fe7072eff60.json
new file mode 100644
index 000000000..00bf8e2ef
--- /dev/null
+++ b/data/hfopenllm_v2/HPAI-BSC/Llama3.1-Aloe-Beta-8B/a3923f10-e64c-4556-9616-4fe7072eff60.json
@@ -0,0 +1,132 @@
+{
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+        "source_type": "hf_dataset",
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/HPAI-BSC/Qwen2.5-Aloe-Beta-7B/ca15d972-9075-42df-884b-5d069f6ff425.json b/data/hfopenllm_v2/HPAI-BSC/Qwen2.5-Aloe-Beta-7B/ca15d972-9075-42df-884b-5d069f6ff425.json
new file mode 100644
index 000000000..4e7791b20
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+++ b/data/hfopenllm_v2/HPAI-BSC/Qwen2.5-Aloe-Beta-7B/ca15d972-9075-42df-884b-5d069f6ff425.json
@@ -0,0 +1,132 @@
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/HarbingerX/Zeitgeist-3b-V1.2/37dad0cc-36d1-4a4c-8d9c-0f5246889a0c.json b/data/hfopenllm_v2/HarbingerX/Zeitgeist-3b-V1.2/37dad0cc-36d1-4a4c-8d9c-0f5246889a0c.json
deleted file mode 100644
index 20a4f40aa..000000000
--- a/data/hfopenllm_v2/HarbingerX/Zeitgeist-3b-V1.2/37dad0cc-36d1-4a4c-8d9c-0f5246889a0c.json
+++ /dev/null
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diff --git a/data/hfopenllm_v2/HarbingerX/Zeitgeist-3b-V1.2/905909a5-abef-46bf-9392-c97873e229df.json b/data/hfopenllm_v2/HarbingerX/Zeitgeist-3b-V1.2/905909a5-abef-46bf-9392-c97873e229df.json
new file mode 100644
index 000000000..e6b388131
--- /dev/null
+++ b/data/hfopenllm_v2/HarbingerX/Zeitgeist-3b-V1.2/905909a5-abef-46bf-9392-c97873e229df.json
@@ -0,0 +1,132 @@
+{
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+  "evaluation_id": "hfopenllm_v2/HarbingerX_Zeitgeist-3b-V1.2/1770682486.623709",
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+        "hf_repo": "TIGER-Lab/MMLU-Pro"
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+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
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+      "score_details": {
+        "score": 0.3056
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/HarbingerX/Zeitgeist-3b-V1/3bc34460-661d-404b-bb1c-5b2fe395b897.json b/data/hfopenllm_v2/HarbingerX/Zeitgeist-3b-V1/3bc34460-661d-404b-bb1c-5b2fe395b897.json
deleted file mode 100644
index 89c8e3e9e..000000000
--- a/data/hfopenllm_v2/HarbingerX/Zeitgeist-3b-V1/3bc34460-661d-404b-bb1c-5b2fe395b897.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/HarbingerX_Zeitgeist-3b-V1/1762652579.637166",
-  "retrieved_timestamp": "1762652579.6371672",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "HarbingerX/Zeitgeist-3b-V1",
-    "developer": "HarbingerX",
-    "inference_platform": "unknown",
-    "id": "HarbingerX/Zeitgeist-3b-V1",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 3.213
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6711724889958643
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4440790761237121
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.10347432024169184
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.28187919463087246
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3579375
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3009474734042553
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/HarbingerX/Zeitgeist-3b-V1/95bd05cf-8f59-409d-a99e-d249bad6c561.json b/data/hfopenllm_v2/HarbingerX/Zeitgeist-3b-V1/95bd05cf-8f59-409d-a99e-d249bad6c561.json
new file mode 100644
index 000000000..e04145e0b
--- /dev/null
+++ b/data/hfopenllm_v2/HarbingerX/Zeitgeist-3b-V1/95bd05cf-8f59-409d-a99e-d249bad6c561.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/HarbingerX_Zeitgeist-3b-V1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Zeitgeist-3b-V1",
+    "id": "HarbingerX/Zeitgeist-3b-V1",
+    "developer": "HarbingerX",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 3.213
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6712
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4441
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1035
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2819
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3579
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3009
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Hastagaras/L3.2-JametMini-3B-MK.III/76b12246-33f6-4992-a0ab-38704dcf6345.json b/data/hfopenllm_v2/Hastagaras/L3.2-JametMini-3B-MK.III/76b12246-33f6-4992-a0ab-38704dcf6345.json
new file mode 100644
index 000000000..9a45e8545
--- /dev/null
+++ b/data/hfopenllm_v2/Hastagaras/L3.2-JametMini-3B-MK.III/76b12246-33f6-4992-a0ab-38704dcf6345.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Hastagaras_L3.2-JametMini-3B-MK.III/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "L3.2-JametMini-3B-MK.III",
+    "id": "Hastagaras/L3.2-JametMini-3B-MK.III",
+    "developer": "Hastagaras",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 3.213
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6183
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4539
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1458
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2827
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3686
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2983
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Hastagaras/L3.2-JametMini-3B-MK.III/cf208ef7-8a9b-4633-8161-dae0825c380e.json b/data/hfopenllm_v2/Hastagaras/L3.2-JametMini-3B-MK.III/cf208ef7-8a9b-4633-8161-dae0825c380e.json
deleted file mode 100644
index 7cd076d1a..000000000
--- a/data/hfopenllm_v2/Hastagaras/L3.2-JametMini-3B-MK.III/cf208ef7-8a9b-4633-8161-dae0825c380e.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Hastagaras_L3.2-JametMini-3B-MK.III/1762652579.6376362",
-  "retrieved_timestamp": "1762652579.6376371",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Hastagaras/L3.2-JametMini-3B-MK.III",
-    "developer": "Hastagaras",
-    "inference_platform": "unknown",
-    "id": "Hastagaras/L3.2-JametMini-3B-MK.III",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 3.213
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6182662003484088
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.45385245294894094
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.14577039274924472
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2827181208053691
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3686041666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2982878989361702
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Hastagaras/Llama-3.1-Jamet-8B-MK.I/e4415806-0ec0-465a-b28f-9c8741436fb4.json b/data/hfopenllm_v2/Hastagaras/Llama-3.1-Jamet-8B-MK.I/e4415806-0ec0-465a-b28f-9c8741436fb4.json
new file mode 100644
index 000000000..680f1f7a0
--- /dev/null
+++ b/data/hfopenllm_v2/Hastagaras/Llama-3.1-Jamet-8B-MK.I/e4415806-0ec0-465a-b28f-9c8741436fb4.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Hastagaras_Llama-3.1-Jamet-8B-MK.I/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-3.1-Jamet-8B-MK.I",
+    "id": "Hastagaras/Llama-3.1-Jamet-8B-MK.I",
+    "developer": "Hastagaras",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7338
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5049
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1269
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2743
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3726
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3482
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Hastagaras/Zabuza-8B-Llama-3.1/98e62ab5-d35a-42dd-904b-bed9c50f3745.json b/data/hfopenllm_v2/Hastagaras/Zabuza-8B-Llama-3.1/98e62ab5-d35a-42dd-904b-bed9c50f3745.json
new file mode 100644
index 000000000..a06055349
--- /dev/null
+++ b/data/hfopenllm_v2/Hastagaras/Zabuza-8B-Llama-3.1/98e62ab5-d35a-42dd-904b-bed9c50f3745.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Hastagaras_Zabuza-8B-Llama-3.1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Zabuza-8B-Llama-3.1",
+    "id": "Hastagaras/Zabuza-8B-Llama-3.1",
+    "developer": "Hastagaras",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6265
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4539
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0551
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2643
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3568
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2923
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/HelpingAI/Cipher-20B/21f72176-cf3b-43ae-aa6e-51d9fe5a6e90.json b/data/hfopenllm_v2/HelpingAI/Cipher-20B/21f72176-cf3b-43ae-aa6e-51d9fe5a6e90.json
deleted file mode 100644
index 3894da742..000000000
--- a/data/hfopenllm_v2/HelpingAI/Cipher-20B/21f72176-cf3b-43ae-aa6e-51d9fe5a6e90.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/HelpingAI_Cipher-20B/1762652579.638349",
-  "retrieved_timestamp": "1762652579.63835",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "HelpingAI/Cipher-20B",
-    "developer": "HelpingAI",
-    "inference_platform": "unknown",
-    "id": "HelpingAI/Cipher-20B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 20.551
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5377575942942504
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6032432743536918
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.19939577039274925
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2953020134228188
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.40029166666666666
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3744182180851064
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/HelpingAI/Cipher-20B/8fb3596e-224e-492b-bdb6-a95a16656eb0.json b/data/hfopenllm_v2/HelpingAI/Cipher-20B/8fb3596e-224e-492b-bdb6-a95a16656eb0.json
new file mode 100644
index 000000000..a8c33014c
--- /dev/null
+++ b/data/hfopenllm_v2/HelpingAI/Cipher-20B/8fb3596e-224e-492b-bdb6-a95a16656eb0.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/HelpingAI_Cipher-20B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Cipher-20B",
+    "id": "HelpingAI/Cipher-20B",
+    "developer": "HelpingAI",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 20.551
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5378
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6032
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1994
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2953
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4003
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3744
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/HelpingAI/Dhanishtha-Large/154203c4-d86e-4c36-806b-c45c5cc568ce.json b/data/hfopenllm_v2/HelpingAI/Dhanishtha-Large/154203c4-d86e-4c36-806b-c45c5cc568ce.json
new file mode 100644
index 000000000..d0d75bfd3
--- /dev/null
+++ b/data/hfopenllm_v2/HelpingAI/Dhanishtha-Large/154203c4-d86e-4c36-806b-c45c5cc568ce.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/HelpingAI_Dhanishtha-Large/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Dhanishtha-Large",
+    "id": "HelpingAI/Dhanishtha-Large",
+    "developer": "HelpingAI",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.613
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2457
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4604
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3852
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3029
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3845
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2755
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/HelpingAI/Dhanishtha-Large/e097ccca-ab91-4f16-bbfa-ca97c91fdb77.json b/data/hfopenllm_v2/HelpingAI/Dhanishtha-Large/e097ccca-ab91-4f16-bbfa-ca97c91fdb77.json
deleted file mode 100644
index 3fa1ec0c2..000000000
--- a/data/hfopenllm_v2/HelpingAI/Dhanishtha-Large/e097ccca-ab91-4f16-bbfa-ca97c91fdb77.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/HelpingAI_Dhanishtha-Large/1762652579.638597",
-  "retrieved_timestamp": "1762652579.638598",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "HelpingAI/Dhanishtha-Large",
-    "developer": "HelpingAI",
-    "inference_platform": "unknown",
-    "id": "HelpingAI/Dhanishtha-Large",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.613
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.24567370133468086
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.46036539145861094
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3851963746223565
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3028523489932886
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.38451041666666663
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2755152925531915
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/HelpingAI/Priya-10B/94aca944-b0a9-46ec-bdab-53bb5cbe3b78.json b/data/hfopenllm_v2/HelpingAI/Priya-10B/94aca944-b0a9-46ec-bdab-53bb5cbe3b78.json
deleted file mode 100644
index 95a750750..000000000
--- a/data/hfopenllm_v2/HelpingAI/Priya-10B/94aca944-b0a9-46ec-bdab-53bb5cbe3b78.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/HelpingAI_Priya-10B/1762652579.638817",
-  "retrieved_timestamp": "1762652579.638818",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
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new file mode 100644
index 000000000..5c591c97d
--- /dev/null
+++ b/data/hfopenllm_v2/HelpingAI/Priya-10B/e42c01f7-2869-4103-bbfd-81aa5a15c140.json
@@ -0,0 +1,132 @@
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diff --git a/data/hfopenllm_v2/HelpingAI/Priya-3B/323d2f94-5e04-4627-9f74-129217f53eea.json b/data/hfopenllm_v2/HelpingAI/Priya-3B/323d2f94-5e04-4627-9f74-129217f53eea.json
new file mode 100644
index 000000000..ab36912a7
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/HelpingAI/Priya-3B/f709afd7-3220-41b0-909a-74d9086c7dd9.json b/data/hfopenllm_v2/HelpingAI/Priya-3B/f709afd7-3220-41b0-909a-74d9086c7dd9.json
deleted file mode 100644
index d23fdec71..000000000
--- a/data/hfopenllm_v2/HelpingAI/Priya-3B/f709afd7-3220-41b0-909a-74d9086c7dd9.json
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diff --git a/data/hfopenllm_v2/HeraiHench/DeepSeek-R1-Qwen-Coder-8B/6bcc284b-8973-47d5-b5b1-1abb7a3242ee.json b/data/hfopenllm_v2/HeraiHench/DeepSeek-R1-Qwen-Coder-8B/6bcc284b-8973-47d5-b5b1-1abb7a3242ee.json
new file mode 100644
index 000000000..83225ff07
--- /dev/null
+++ b/data/hfopenllm_v2/HeraiHench/DeepSeek-R1-Qwen-Coder-8B/6bcc284b-8973-47d5-b5b1-1abb7a3242ee.json
@@ -0,0 +1,132 @@
+{
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+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
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+    "id": "HeraiHench/DeepSeek-R1-Qwen-Coder-8B",
+    "developer": "HeraiHench",
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+        "hf_repo": "TIGER-Lab/MMLU-Pro"
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+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/HeraiHench/Double-Down-Qwen-Math-7B/691cace3-5316-4f5b-8693-67efb24a0a06.json b/data/hfopenllm_v2/HeraiHench/Double-Down-Qwen-Math-7B/691cace3-5316-4f5b-8693-67efb24a0a06.json
new file mode 100644
index 000000000..6515c0ca8
--- /dev/null
+++ b/data/hfopenllm_v2/HeraiHench/Double-Down-Qwen-Math-7B/691cace3-5316-4f5b-8693-67efb24a0a06.json
@@ -0,0 +1,132 @@
+{
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+  "source_metadata": {
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+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Double-Down-Qwen-Math-7B",
+    "id": "HeraiHench/Double-Down-Qwen-Math-7B",
+    "developer": "HeraiHench",
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/HeraiHench/Marge-Qwen-Math-7B/d387b3dc-9e76-44a6-9a9f-132a4fd762b4.json b/data/hfopenllm_v2/HeraiHench/Marge-Qwen-Math-7B/d387b3dc-9e76-44a6-9a9f-132a4fd762b4.json
new file mode 100644
index 000000000..c9043860f
--- /dev/null
+++ b/data/hfopenllm_v2/HeraiHench/Marge-Qwen-Math-7B/d387b3dc-9e76-44a6-9a9f-132a4fd762b4.json
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/HeraiHench/Phi-4-slerp-ReasoningRP-14B/f6f515d3-f5e9-4362-be51-bb8fc05527e6.json b/data/hfopenllm_v2/HeraiHench/Phi-4-slerp-ReasoningRP-14B/f6f515d3-f5e9-4362-be51-bb8fc05527e6.json
new file mode 100644
index 000000000..287a631b7
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+++ b/data/hfopenllm_v2/HeraiHench/Phi-4-slerp-ReasoningRP-14B/f6f515d3-f5e9-4362-be51-bb8fc05527e6.json
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/HiroseKoichi/Llama-Salad-4x8B-V3/2e1e215f-b622-439f-a13f-531441e25ae3.json b/data/hfopenllm_v2/HiroseKoichi/Llama-Salad-4x8B-V3/2e1e215f-b622-439f-a13f-531441e25ae3.json
new file mode 100644
index 000000000..68ae14b6f
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+++ b/data/hfopenllm_v2/HiroseKoichi/Llama-Salad-4x8B-V3/2e1e215f-b622-439f-a13f-531441e25ae3.json
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/HoangHa/Pensez-Llama3.1-8B/d50d66a9-a0c4-4b82-922c-9d012f1b50a1.json b/data/hfopenllm_v2/HoangHa/Pensez-Llama3.1-8B/d50d66a9-a0c4-4b82-922c-9d012f1b50a1.json
new file mode 100644
index 000000000..bdc98fec4
--- /dev/null
+++ b/data/hfopenllm_v2/HoangHa/Pensez-Llama3.1-8B/d50d66a9-a0c4-4b82-922c-9d012f1b50a1.json
@@ -0,0 +1,132 @@
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/HuggingFaceH4/zephyr-7b-alpha/2029aa96-40b2-4af8-a7fa-8ae968b20502.json b/data/hfopenllm_v2/HuggingFaceH4/zephyr-7b-alpha/2029aa96-40b2-4af8-a7fa-8ae968b20502.json
deleted file mode 100644
index 2a44dfd0c..000000000
--- a/data/hfopenllm_v2/HuggingFaceH4/zephyr-7b-alpha/2029aa96-40b2-4af8-a7fa-8ae968b20502.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
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-    "developer": "HuggingFaceH4",
-    "inference_platform": "unknown",
-    "id": "HuggingFaceH4/zephyr-7b-alpha",
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-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
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-        "lower_is_better": false,
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2978187919463087
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-    }
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-}
diff --git a/data/hfopenllm_v2/HuggingFaceH4/zephyr-7b-alpha/ea7292a8-3f07-47be-b8ae-7d352ed1ecb6.json b/data/hfopenllm_v2/HuggingFaceH4/zephyr-7b-alpha/ea7292a8-3f07-47be-b8ae-7d352ed1ecb6.json
new file mode 100644
index 000000000..6f52aa9ae
--- /dev/null
+++ b/data/hfopenllm_v2/HuggingFaceH4/zephyr-7b-alpha/ea7292a8-3f07-47be-b8ae-7d352ed1ecb6.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/HuggingFaceH4_zephyr-7b-alpha/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "zephyr-7b-alpha",
+    "id": "HuggingFaceH4/zephyr-7b-alpha",
+    "developer": "HuggingFaceH4",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5191
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4583
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0196
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2978
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.395
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2795
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/HuggingFaceH4/zephyr-7b-beta/3b9d5166-4144-4222-a39d-3d1d3956a6e8.json b/data/hfopenllm_v2/HuggingFaceH4/zephyr-7b-beta/3b9d5166-4144-4222-a39d-3d1d3956a6e8.json
deleted file mode 100644
index f2955c7fb..000000000
--- a/data/hfopenllm_v2/HuggingFaceH4/zephyr-7b-beta/3b9d5166-4144-4222-a39d-3d1d3956a6e8.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "retrieved_timestamp": "1762652579.641026",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "HuggingFaceH4/zephyr-7b-beta",
-    "developer": "HuggingFaceH4",
-    "inference_platform": "unknown",
-    "id": "HuggingFaceH4/zephyr-7b-beta",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.49504315216957673
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-    },
-    {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-      },
-      "score_details": {
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-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-      },
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2902684563758389
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3925416666666666
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2780917553191489
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/HuggingFaceH4/zephyr-7b-beta/4eedd6d4-279f-4660-8d71-708a27bb53e0.json b/data/hfopenllm_v2/HuggingFaceH4/zephyr-7b-beta/4eedd6d4-279f-4660-8d71-708a27bb53e0.json
new file mode 100644
index 000000000..243694134
--- /dev/null
+++ b/data/hfopenllm_v2/HuggingFaceH4/zephyr-7b-beta/4eedd6d4-279f-4660-8d71-708a27bb53e0.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/HuggingFaceH4_zephyr-7b-beta/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "zephyr-7b-beta",
+    "id": "HuggingFaceH4/zephyr-7b-beta",
+    "developer": "HuggingFaceH4",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.495
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4316
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0287
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2903
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3925
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2781
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/HuggingFaceH4/zephyr-7b-gemma-v0.1/9c0f67d1-f95d-4ca0-a234-2e09ac788f55.json b/data/hfopenllm_v2/HuggingFaceH4/zephyr-7b-gemma-v0.1/9c0f67d1-f95d-4ca0-a234-2e09ac788f55.json
new file mode 100644
index 000000000..46badaeea
--- /dev/null
+++ b/data/hfopenllm_v2/HuggingFaceH4/zephyr-7b-gemma-v0.1/9c0f67d1-f95d-4ca0-a234-2e09ac788f55.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/HuggingFaceH4_zephyr-7b-gemma-v0.1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "zephyr-7b-gemma-v0.1",
+    "id": "HuggingFaceH4/zephyr-7b-gemma-v0.1",
+    "developer": "HuggingFaceH4",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "GemmaForCausalLM",
+      "params_billions": 8.538
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3364
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4624
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0816
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2945
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.374
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2847
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/HuggingFaceH4/zephyr-orpo-141b-A35b-v0.1/8b347bb4-9f6d-4c82-bd5d-2fb5f7c8f881.json b/data/hfopenllm_v2/HuggingFaceH4/zephyr-orpo-141b-A35b-v0.1/8b347bb4-9f6d-4c82-bd5d-2fb5f7c8f881.json
deleted file mode 100644
index 275a79f5a..000000000
--- a/data/hfopenllm_v2/HuggingFaceH4/zephyr-orpo-141b-A35b-v0.1/8b347bb4-9f6d-4c82-bd5d-2fb5f7c8f881.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "evaluation_name": "MMLU-PRO",
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/HuggingFaceH4/zephyr-orpo-141b-A35b-v0.1/e5c0fbc9-f424-4b04-839a-8335adaf89cc.json b/data/hfopenllm_v2/HuggingFaceH4/zephyr-orpo-141b-A35b-v0.1/e5c0fbc9-f424-4b04-839a-8335adaf89cc.json
new file mode 100644
index 000000000..24a491daf
--- /dev/null
+++ b/data/hfopenllm_v2/HuggingFaceH4/zephyr-orpo-141b-A35b-v0.1/e5c0fbc9-f424-4b04-839a-8335adaf89cc.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/HuggingFaceH4_zephyr-orpo-141b-A35b-v0.1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "zephyr-orpo-141b-A35b-v0.1",
+    "id": "HuggingFaceH4/zephyr-orpo-141b-A35b-v0.1",
+    "developer": "HuggingFaceH4",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "MixtralForCausalLM",
+      "params_billions": 140.621
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6511
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.629
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2047
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3784
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4586
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/HuggingFaceTB/SmolLM-1.7B-Instruct/690a5844-000e-4949-bbf9-8bd1ff2cb1bd.json b/data/hfopenllm_v2/HuggingFaceTB/SmolLM-1.7B-Instruct/690a5844-000e-4949-bbf9-8bd1ff2cb1bd.json
deleted file mode 100644
index 2f4296c00..000000000
--- a/data/hfopenllm_v2/HuggingFaceTB/SmolLM-1.7B-Instruct/690a5844-000e-4949-bbf9-8bd1ff2cb1bd.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
-    "name": "HuggingFaceTB/SmolLM-1.7B-Instruct",
-    "developer": "HuggingFaceTB",
-    "inference_platform": "unknown",
-    "id": "HuggingFaceTB/SmolLM-1.7B-Instruct",
-    "additional_details": {
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-      "architecture": "LlamaForCausalLM",
-      "params_billions": 1.71
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-        "lower_is_better": false,
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-    {
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-        "lower_is_better": false,
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-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-}
diff --git a/data/hfopenllm_v2/HuggingFaceTB/SmolLM-1.7B-Instruct/d91107fa-eb8d-4d01-90a2-fc9831f337b2.json b/data/hfopenllm_v2/HuggingFaceTB/SmolLM-1.7B-Instruct/d91107fa-eb8d-4d01-90a2-fc9831f337b2.json
new file mode 100644
index 000000000..0268b6bbe
--- /dev/null
+++ b/data/hfopenllm_v2/HuggingFaceTB/SmolLM-1.7B-Instruct/d91107fa-eb8d-4d01-90a2-fc9831f337b2.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/HuggingFaceTB_SmolLM-1.7B-Instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "SmolLM-1.7B-Instruct",
+    "id": "HuggingFaceTB/SmolLM-1.7B-Instruct",
+    "developer": "HuggingFaceTB",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 1.71
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2348
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2885
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0211
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2601
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3487
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1166
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/HuggingFaceTB/SmolLM-1.7B/926999bf-1ba6-4321-82b2-fcced4336739.json b/data/hfopenllm_v2/HuggingFaceTB/SmolLM-1.7B/926999bf-1ba6-4321-82b2-fcced4336739.json
new file mode 100644
index 000000000..e9cd807d2
--- /dev/null
+++ b/data/hfopenllm_v2/HuggingFaceTB/SmolLM-1.7B/926999bf-1ba6-4321-82b2-fcced4336739.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/HuggingFaceTB_SmolLM-1.7B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "SmolLM-1.7B",
+    "id": "HuggingFaceTB/SmolLM-1.7B",
+    "developer": "HuggingFaceTB",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 1.71
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2362
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3181
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0166
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2416
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3421
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1148
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/HuggingFaceTB/SmolLM-1.7B/e1b7c18a-bff1-44a3-b589-95bcb0f88e36.json b/data/hfopenllm_v2/HuggingFaceTB/SmolLM-1.7B/e1b7c18a-bff1-44a3-b589-95bcb0f88e36.json
deleted file mode 100644
index 5ace40b6a..000000000
--- a/data/hfopenllm_v2/HuggingFaceTB/SmolLM-1.7B/e1b7c18a-bff1-44a3-b589-95bcb0f88e36.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/HuggingFaceTB_SmolLM-1.7B/1762652579.6417458",
-  "retrieved_timestamp": "1762652579.6417458",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
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-    "evaluator_relationship": "third_party",
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diff --git a/data/hfopenllm_v2/HuggingFaceTB/SmolLM-135M-Instruct/57d481bf-0db9-4208-afda-dcd20df13964.json b/data/hfopenllm_v2/HuggingFaceTB/SmolLM-135M-Instruct/57d481bf-0db9-4208-afda-dcd20df13964.json
new file mode 100644
index 000000000..745d7547b
--- /dev/null
+++ b/data/hfopenllm_v2/HuggingFaceTB/SmolLM-135M-Instruct/57d481bf-0db9-4208-afda-dcd20df13964.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/HuggingFaceTB_SmolLM-135M-Instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "SmolLM-135M-Instruct",
+    "id": "HuggingFaceTB/SmolLM-135M-Instruct",
+    "developer": "HuggingFaceTB",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 0.135
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3015
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2592
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3635
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "max_score": 1.0
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+        "score": 0.1176
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/HuggingFaceTB/SmolLM-135M-Instruct/adff7af4-9bae-420a-9751-9f68ab81bf99.json b/data/hfopenllm_v2/HuggingFaceTB/SmolLM-135M-Instruct/adff7af4-9bae-420a-9751-9f68ab81bf99.json
deleted file mode 100644
index 70cd2688d..000000000
--- a/data/hfopenllm_v2/HuggingFaceTB/SmolLM-135M-Instruct/adff7af4-9bae-420a-9751-9f68ab81bf99.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
-    "name": "HuggingFaceTB/SmolLM-135M-Instruct",
-    "developer": "HuggingFaceTB",
-    "inference_platform": "unknown",
-    "id": "HuggingFaceTB/SmolLM-135M-Instruct",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 0.135
-    }
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-  "evaluation_results": [
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-      "evaluation_name": "IFEval",
-      "metric_config": {
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-        "lower_is_better": false,
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-        "min_score": 0,
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-        "score_type": "continuous",
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-    {
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-        "lower_is_better": false,
-        "score_type": "continuous",
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-        "lower_is_better": false,
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-        "min_score": 0,
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-    {
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-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-      "score_details": {
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/HuggingFaceTB/SmolLM-135M/8cd60e42-3429-4938-b43e-9c951a57ca9f.json b/data/hfopenllm_v2/HuggingFaceTB/SmolLM-135M/8cd60e42-3429-4938-b43e-9c951a57ca9f.json
deleted file mode 100644
index 6f8359347..000000000
--- a/data/hfopenllm_v2/HuggingFaceTB/SmolLM-135M/8cd60e42-3429-4938-b43e-9c951a57ca9f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/HuggingFaceTB_SmolLM-135M/1762652579.642195",
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-    "name": "HuggingFaceTB/SmolLM-135M",
-    "developer": "HuggingFaceTB",
-    "inference_platform": "unknown",
-    "id": "HuggingFaceTB/SmolLM-135M",
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-        "max_score": 1
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-    {
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-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/HuggingFaceTB/SmolLM-135M/eb417e47-fe63-4dc5-b3e5-28782f3782da.json b/data/hfopenllm_v2/HuggingFaceTB/SmolLM-135M/eb417e47-fe63-4dc5-b3e5-28782f3782da.json
new file mode 100644
index 000000000..b15e9c58d
--- /dev/null
+++ b/data/hfopenllm_v2/HuggingFaceTB/SmolLM-135M/eb417e47-fe63-4dc5-b3e5-28782f3782da.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/HuggingFaceTB_SmolLM-135M/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "SmolLM-135M",
+    "id": "HuggingFaceTB/SmolLM-135M",
+    "developer": "HuggingFaceTB",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 0.13
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2125
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+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3046
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0136
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2584
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4366
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1122
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/HuggingFaceTB/SmolLM-360M-Instruct/b0f516dd-7185-4906-87a5-3c6f019894d0.json b/data/hfopenllm_v2/HuggingFaceTB/SmolLM-360M-Instruct/b0f516dd-7185-4906-87a5-3c6f019894d0.json
new file mode 100644
index 000000000..c5826e27d
--- /dev/null
+++ b/data/hfopenllm_v2/HuggingFaceTB/SmolLM-360M-Instruct/b0f516dd-7185-4906-87a5-3c6f019894d0.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/HuggingFaceTB_SmolLM-360M-Instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "SmolLM-360M-Instruct",
+    "id": "HuggingFaceTB/SmolLM-360M-Instruct",
+    "developer": "HuggingFaceTB",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 0.362
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1952
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+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2885
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0181
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2643
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3472
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1166
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/HuggingFaceTB/SmolLM-360M-Instruct/ec13c105-c846-4420-91af-d42e98b7a818.json b/data/hfopenllm_v2/HuggingFaceTB/SmolLM-360M-Instruct/ec13c105-c846-4420-91af-d42e98b7a818.json
deleted file mode 100644
index 88ec8292b..000000000
--- a/data/hfopenllm_v2/HuggingFaceTB/SmolLM-360M-Instruct/ec13c105-c846-4420-91af-d42e98b7a818.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "retrieved_timestamp": "1762652579.642821",
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
-    "name": "HuggingFaceTB/SmolLM-360M-Instruct",
-    "developer": "HuggingFaceTB",
-    "inference_platform": "unknown",
-    "id": "HuggingFaceTB/SmolLM-360M-Instruct",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 0.362
-    }
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-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
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-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
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-    {
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-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
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-        "max_score": 1
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-    {
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-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.26426174496644295
-      }
-    },
-    {
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-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.34717708333333336
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/HuggingFaceTB/SmolLM-360M/1e562944-a205-4ef7-aff1-3776595d131c.json b/data/hfopenllm_v2/HuggingFaceTB/SmolLM-360M/1e562944-a205-4ef7-aff1-3776595d131c.json
new file mode 100644
index 000000000..3e49abf4e
--- /dev/null
+++ b/data/hfopenllm_v2/HuggingFaceTB/SmolLM-360M/1e562944-a205-4ef7-aff1-3776595d131c.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/HuggingFaceTB_SmolLM-360M/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "SmolLM-360M",
+    "id": "HuggingFaceTB/SmolLM-360M",
+    "developer": "HuggingFaceTB",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 0.36
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2134
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3065
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0113
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2676
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4018
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1124
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/HuggingFaceTB/SmolLM-360M/236f7bdd-be50-4287-82b7-6efddc9dd3f4.json b/data/hfopenllm_v2/HuggingFaceTB/SmolLM-360M/236f7bdd-be50-4287-82b7-6efddc9dd3f4.json
deleted file mode 100644
index 1124bd15e..000000000
--- a/data/hfopenllm_v2/HuggingFaceTB/SmolLM-360M/236f7bdd-be50-4287-82b7-6efddc9dd3f4.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/HuggingFaceTB_SmolLM-360M/1762652579.642613",
-  "retrieved_timestamp": "1762652579.6426141",
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-  ],
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-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
-    "name": "HuggingFaceTB/SmolLM-360M",
-    "developer": "HuggingFaceTB",
-    "inference_platform": "unknown",
-    "id": "HuggingFaceTB/SmolLM-360M",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 0.36
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-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-    },
-    {
-      "evaluation_name": "BBH",
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.011329305135951661
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2676174496644295
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.40178125
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11236702127659574
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/HuggingFaceTB/SmolLM2-1.7B-Instruct/09b81183-8ff2-44d5-a515-63cddc3e55c6.json b/data/hfopenllm_v2/HuggingFaceTB/SmolLM2-1.7B-Instruct/09b81183-8ff2-44d5-a515-63cddc3e55c6.json
deleted file mode 100644
index 02509d2d9..000000000
--- a/data/hfopenllm_v2/HuggingFaceTB/SmolLM2-1.7B-Instruct/09b81183-8ff2-44d5-a515-63cddc3e55c6.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/HuggingFaceTB_SmolLM2-1.7B-Instruct/1762652579.643299",
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "HuggingFaceTB/SmolLM2-1.7B-Instruct",
-    "developer": "HuggingFaceTB",
-    "inference_platform": "unknown",
-    "id": "HuggingFaceTB/SmolLM2-1.7B-Instruct",
-    "additional_details": {
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-      "architecture": "LlamaForCausalLM",
-      "params_billions": 1.711
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-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
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-        "evaluation_description": "Accuracy on BBH",
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-        "score_type": "continuous",
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-        "max_score": 1
-      },
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-    {
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-        "max_score": 1
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-      "score_details": {
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-    {
-      "evaluation_name": "MMLU-PRO",
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-        "max_score": 1
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-      "score_details": {
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diff --git a/data/hfopenllm_v2/HuggingFaceTB/SmolLM2-1.7B-Instruct/6ccaf08d-1b0a-4ca9-941e-a71e2dce5cb4.json b/data/hfopenllm_v2/HuggingFaceTB/SmolLM2-1.7B-Instruct/6ccaf08d-1b0a-4ca9-941e-a71e2dce5cb4.json
new file mode 100644
index 000000000..7fcd1bd5f
--- /dev/null
+++ b/data/hfopenllm_v2/HuggingFaceTB/SmolLM2-1.7B-Instruct/6ccaf08d-1b0a-4ca9-941e-a71e2dce5cb4.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/HuggingFaceTB_SmolLM2-1.7B-Instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "SmolLM2-1.7B-Instruct",
+    "id": "HuggingFaceTB/SmolLM2-1.7B-Instruct",
+    "developer": "HuggingFaceTB",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 1.711
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+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5368
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+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3599
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+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0582
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+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2794
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3421
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+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+        "score": 0.2054
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/HuggingFaceTB/SmolLM2-1.7B/2064938d-9f05-4740-a4d4-2a2da0eac21d.json b/data/hfopenllm_v2/HuggingFaceTB/SmolLM2-1.7B/2064938d-9f05-4740-a4d4-2a2da0eac21d.json
new file mode 100644
index 000000000..c33283bc1
--- /dev/null
+++ b/data/hfopenllm_v2/HuggingFaceTB/SmolLM2-1.7B/2064938d-9f05-4740-a4d4-2a2da0eac21d.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/HuggingFaceTB_SmolLM2-1.7B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "SmolLM2-1.7B",
+    "id": "HuggingFaceTB/SmolLM2-1.7B",
+    "developer": "HuggingFaceTB",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 1.71
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.244
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3453
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0264
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2794
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3485
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2138
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/HuggingFaceTB/SmolLM2-1.7B/db57503c-bfe7-4691-983e-68af941e8b1e.json b/data/hfopenllm_v2/HuggingFaceTB/SmolLM2-1.7B/db57503c-bfe7-4691-983e-68af941e8b1e.json
deleted file mode 100644
index 8801904f3..000000000
--- a/data/hfopenllm_v2/HuggingFaceTB/SmolLM2-1.7B/db57503c-bfe7-4691-983e-68af941e8b1e.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/HuggingFaceTB_SmolLM2-1.7B/1762652579.6430368",
-  "retrieved_timestamp": "1762652579.643038",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "HuggingFaceTB/SmolLM2-1.7B",
-    "developer": "HuggingFaceTB",
-    "inference_platform": "unknown",
-    "id": "HuggingFaceTB/SmolLM2-1.7B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 1.71
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2440003634800108
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3452594377166261
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.026435045317220542
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.27936241610738255
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3485416666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2137632978723404
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/HuggingFaceTB/SmolLM2-135M-Instruct/43240184-8245-43ff-a971-678523918fe0.json b/data/hfopenllm_v2/HuggingFaceTB/SmolLM2-135M-Instruct/43240184-8245-43ff-a971-678523918fe0.json
new file mode 100644
index 000000000..a41b862d1
--- /dev/null
+++ b/data/hfopenllm_v2/HuggingFaceTB/SmolLM2-135M-Instruct/43240184-8245-43ff-a971-678523918fe0.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/HuggingFaceTB_SmolLM2-135M-Instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "SmolLM2-135M-Instruct",
+    "id": "HuggingFaceTB/SmolLM2-135M-Instruct",
+    "developer": "HuggingFaceTB",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 0.135
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0593
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3135
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0144
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2341
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3871
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1092
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/HuggingFaceTB/SmolLM2-135M-Instruct/9a9fb17d-49ae-4a82-95c8-c8b55923d72f.json b/data/hfopenllm_v2/HuggingFaceTB/SmolLM2-135M-Instruct/9a9fb17d-49ae-4a82-95c8-c8b55923d72f.json
deleted file mode 100644
index 82273b309..000000000
--- a/data/hfopenllm_v2/HuggingFaceTB/SmolLM2-135M-Instruct/9a9fb17d-49ae-4a82-95c8-c8b55923d72f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/HuggingFaceTB_SmolLM2-135M-Instruct/1762652579.644038",
-  "retrieved_timestamp": "1762652579.644039",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "HuggingFaceTB/SmolLM2-135M-Instruct",
-    "developer": "HuggingFaceTB",
-    "inference_platform": "unknown",
-    "id": "HuggingFaceTB/SmolLM2-135M-Instruct",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 0.135
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.05925167444602544
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.31347502947335903
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.014350453172205438
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.23406040268456377
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3871458333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.10920877659574468
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/HuggingFaceTB/SmolLM2-135M-Instruct/b3b854b6-700c-4297-b335-6acc3c385f84.json b/data/hfopenllm_v2/HuggingFaceTB/SmolLM2-135M-Instruct/b3b854b6-700c-4297-b335-6acc3c385f84.json
new file mode 100644
index 000000000..5a55c0fe8
--- /dev/null
+++ b/data/hfopenllm_v2/HuggingFaceTB/SmolLM2-135M-Instruct/b3b854b6-700c-4297-b335-6acc3c385f84.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/HuggingFaceTB_SmolLM2-135M-Instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "SmolLM2-135M-Instruct",
+    "id": "HuggingFaceTB/SmolLM2-135M-Instruct",
+    "developer": "HuggingFaceTB",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 0.135
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2883
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3124
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.003
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2357
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3662
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1115
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/HuggingFaceTB/SmolLM2-135M-Instruct/df60b16b-184c-43d9-ac79-8627f09d265b.json b/data/hfopenllm_v2/HuggingFaceTB/SmolLM2-135M-Instruct/df60b16b-184c-43d9-ac79-8627f09d265b.json
deleted file mode 100644
index 2294d7173..000000000
--- a/data/hfopenllm_v2/HuggingFaceTB/SmolLM2-135M-Instruct/df60b16b-184c-43d9-ac79-8627f09d265b.json
+++ /dev/null
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deleted file mode 100644
index fdd40b31e..000000000
--- a/data/hfopenllm_v2/HuggingFaceTB/SmolLM2-135M/1761caca-524f-4d59-81dd-631e3e24e0e5.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/HuggingFaceTB/SmolLM2-135M/a9d79c6a-f99a-4b60-8e37-ee2cdfe75f30.json b/data/hfopenllm_v2/HuggingFaceTB/SmolLM2-135M/a9d79c6a-f99a-4b60-8e37-ee2cdfe75f30.json
new file mode 100644
index 000000000..08375897a
--- /dev/null
+++ b/data/hfopenllm_v2/HuggingFaceTB/SmolLM2-135M/a9d79c6a-f99a-4b60-8e37-ee2cdfe75f30.json
@@ -0,0 +1,132 @@
+{
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+  "source_metadata": {
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+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "SmolLM2-135M",
+    "id": "HuggingFaceTB/SmolLM2-135M",
+    "developer": "HuggingFaceTB",
+    "inference_platform": "unknown",
+    "additional_details": {
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+      "architecture": "LlamaForCausalLM",
+      "params_billions": 0.135
+    }
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+  "evaluation_results": [
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
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+        "lower_is_better": false,
+        "score_type": "continuous",
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
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+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+    {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
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+        "hf_repo": "Idavidrein/gpqa"
+      },
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+        "max_score": 1.0
+      },
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
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+        "lower_is_better": false,
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+    },
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+        "hf_repo": "TIGER-Lab/MMLU-Pro"
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+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/HuggingFaceTB/SmolLM2-360M-Instruct/06409b6c-9d26-4bee-af75-16e6edb87a93.json b/data/hfopenllm_v2/HuggingFaceTB/SmolLM2-360M-Instruct/06409b6c-9d26-4bee-af75-16e6edb87a93.json
deleted file mode 100644
index 47cad94b8..000000000
--- a/data/hfopenllm_v2/HuggingFaceTB/SmolLM2-360M-Instruct/06409b6c-9d26-4bee-af75-16e6edb87a93.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/HuggingFaceTB/SmolLM2-360M-Instruct/09ba6e80-5ab4-4c8c-b7ad-c1497413c207.json b/data/hfopenllm_v2/HuggingFaceTB/SmolLM2-360M-Instruct/09ba6e80-5ab4-4c8c-b7ad-c1497413c207.json
deleted file mode 100644
index d101ddd11..000000000
--- a/data/hfopenllm_v2/HuggingFaceTB/SmolLM2-360M-Instruct/09ba6e80-5ab4-4c8c-b7ad-c1497413c207.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/HuggingFaceTB/SmolLM2-360M-Instruct/88e1dd78-d3bc-401b-88e9-d963bac181db.json b/data/hfopenllm_v2/HuggingFaceTB/SmolLM2-360M-Instruct/88e1dd78-d3bc-401b-88e9-d963bac181db.json
new file mode 100644
index 000000000..bfc21511e
--- /dev/null
+++ b/data/hfopenllm_v2/HuggingFaceTB/SmolLM2-360M-Instruct/88e1dd78-d3bc-401b-88e9-d963bac181db.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/HuggingFaceTB_SmolLM2-360M-Instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "SmolLM2-360M-Instruct",
+    "id": "HuggingFaceTB/SmolLM2-360M-Instruct",
+    "developer": "HuggingFaceTB",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 0.36
+    }
+  },
+  "evaluation_results": [
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "max_score": 1.0
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+    },
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
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+        "max_score": 1.0
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+    {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
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+        "score_type": "continuous",
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+        "hf_repo": "Idavidrein/gpqa"
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
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+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
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+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/HuggingFaceTB/SmolLM2-360M-Instruct/a41bd607-f319-4063-a6e4-813f43e40568.json b/data/hfopenllm_v2/HuggingFaceTB/SmolLM2-360M-Instruct/a41bd607-f319-4063-a6e4-813f43e40568.json
new file mode 100644
index 000000000..96d89080d
--- /dev/null
+++ b/data/hfopenllm_v2/HuggingFaceTB/SmolLM2-360M-Instruct/a41bd607-f319-4063-a6e4-813f43e40568.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/HuggingFaceTB_SmolLM2-360M-Instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "SmolLM2-360M-Instruct",
+    "id": "HuggingFaceTB/SmolLM2-360M-Instruct",
+    "developer": "HuggingFaceTB",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 0.362
+    }
+  },
+  "evaluation_results": [
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3053
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
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+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1126
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/HuggingFaceTB/SmolLM2-360M/7751b65d-2bba-465c-9a1e-5ae51d94fcf6.json b/data/hfopenllm_v2/HuggingFaceTB/SmolLM2-360M/7751b65d-2bba-465c-9a1e-5ae51d94fcf6.json
deleted file mode 100644
index 680159fa7..000000000
--- a/data/hfopenllm_v2/HuggingFaceTB/SmolLM2-360M/7751b65d-2bba-465c-9a1e-5ae51d94fcf6.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/HuggingFaceTB_SmolLM2-360M/1762652579.6442492",
-  "retrieved_timestamp": "1762652579.6442502",
-  "source_data": [
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-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "HuggingFaceTB/SmolLM2-360M",
-    "developer": "HuggingFaceTB",
-    "inference_platform": "unknown",
-    "id": "HuggingFaceTB/SmolLM2-360M",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 0.36
-    }
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-  "evaluation_results": [
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-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-    {
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-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-    {
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-    },
-    {
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-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3954270833333333
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/HuggingFaceTB/SmolLM2-360M/8629aef1-c673-4b17-a9cc-b361a53bdaa7.json b/data/hfopenllm_v2/HuggingFaceTB/SmolLM2-360M/8629aef1-c673-4b17-a9cc-b361a53bdaa7.json
new file mode 100644
index 000000000..95ae8687c
--- /dev/null
+++ b/data/hfopenllm_v2/HuggingFaceTB/SmolLM2-360M/8629aef1-c673-4b17-a9cc-b361a53bdaa7.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/HuggingFaceTB_SmolLM2-360M/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "SmolLM2-360M",
+    "id": "HuggingFaceTB/SmolLM2-360M",
+    "developer": "HuggingFaceTB",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 0.36
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2115
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3233
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0121
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2458
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3954
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1169
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/HumanLLMs/Humanish-LLama3-8B-Instruct/532c927a-dc0c-4e65-8ab0-7b9ddd889d89.json b/data/hfopenllm_v2/HumanLLMs/Humanish-LLama3-8B-Instruct/532c927a-dc0c-4e65-8ab0-7b9ddd889d89.json
new file mode 100644
index 000000000..c3eae323f
--- /dev/null
+++ b/data/hfopenllm_v2/HumanLLMs/Humanish-LLama3-8B-Instruct/532c927a-dc0c-4e65-8ab0-7b9ddd889d89.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/HumanLLMs_Humanish-LLama3-8B-Instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Humanish-LLama3-8B-Instruct",
+    "id": "HumanLLMs/Humanish-LLama3-8B-Instruct",
+    "developer": "HumanLLMs",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6498
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4968
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1027
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2559
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3582
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3702
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/HumanLLMs/Humanish-LLama3-8B-Instruct/e69e4e90-8177-44f5-8497-0a45ca9155ea.json b/data/hfopenllm_v2/HumanLLMs/Humanish-LLama3-8B-Instruct/e69e4e90-8177-44f5-8497-0a45ca9155ea.json
deleted file mode 100644
index ca45ad7f0..000000000
--- a/data/hfopenllm_v2/HumanLLMs/Humanish-LLama3-8B-Instruct/e69e4e90-8177-44f5-8497-0a45ca9155ea.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/HumanLLMs_Humanish-LLama3-8B-Instruct/1762652579.6448839",
-  "retrieved_timestamp": "1762652579.644885",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "HumanLLMs/Humanish-LLama3-8B-Instruct",
-    "developer": "HumanLLMs",
-    "inference_platform": "unknown",
-    "id": "HumanLLMs/Humanish-LLama3-8B-Instruct",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
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-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
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diff --git a/data/hfopenllm_v2/HumanLLMs/Humanish-Mistral-Nemo-Instruct-2407/843f9927-9865-4066-9cc0-f0522d3b914f.json b/data/hfopenllm_v2/HumanLLMs/Humanish-Mistral-Nemo-Instruct-2407/843f9927-9865-4066-9cc0-f0522d3b914f.json
new file mode 100644
index 000000000..b2ce02227
--- /dev/null
+++ b/data/hfopenllm_v2/HumanLLMs/Humanish-Mistral-Nemo-Instruct-2407/843f9927-9865-4066-9cc0-f0522d3b914f.json
@@ -0,0 +1,132 @@
+{
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+  "evaluation_id": "hfopenllm_v2/HumanLLMs_Humanish-Mistral-Nemo-Instruct-2407/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Humanish-Mistral-Nemo-Instruct-2407",
+    "id": "HumanLLMs/Humanish-Mistral-Nemo-Instruct-2407",
+    "developer": "HumanLLMs",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 12.248
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
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+        "max_score": 1.0
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+      "score_details": {
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+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "max_score": 1.0
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+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
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+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "max_score": 1.0
+      },
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+      }
+    },
+    {
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+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3968
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+    {
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+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
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+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3521
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/HumanLLMs/Humanish-Mistral-Nemo-Instruct-2407/de0dbc50-5d26-4005-967c-3dcbde3a1282.json b/data/hfopenllm_v2/HumanLLMs/Humanish-Mistral-Nemo-Instruct-2407/de0dbc50-5d26-4005-967c-3dcbde3a1282.json
deleted file mode 100644
index 591a2b8aa..000000000
--- a/data/hfopenllm_v2/HumanLLMs/Humanish-Mistral-Nemo-Instruct-2407/de0dbc50-5d26-4005-967c-3dcbde3a1282.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/HumanLLMs_Humanish-Mistral-Nemo-Instruct-2407/1762652579.6451478",
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-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
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-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
-    "name": "HumanLLMs/Humanish-Mistral-Nemo-Instruct-2407",
-    "developer": "HumanLLMs",
-    "inference_platform": "unknown",
-    "id": "HumanLLMs/Humanish-Mistral-Nemo-Instruct-2407",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 12.248
-    }
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-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
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-        "score_type": "continuous",
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-        "lower_is_better": false,
-        "score_type": "continuous",
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-      "score_details": {
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/HumanLLMs/Humanish-Qwen2.5-7B-Instruct/df720663-5e82-4de7-9a19-88287bb5f56a.json b/data/hfopenllm_v2/HumanLLMs/Humanish-Qwen2.5-7B-Instruct/df720663-5e82-4de7-9a19-88287bb5f56a.json
deleted file mode 100644
index d6c9f96a7..000000000
--- a/data/hfopenllm_v2/HumanLLMs/Humanish-Qwen2.5-7B-Instruct/df720663-5e82-4de7-9a19-88287bb5f56a.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
-    "name": "HumanLLMs/Humanish-Qwen2.5-7B-Instruct",
-    "developer": "HumanLLMs",
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-    "id": "HumanLLMs/Humanish-Qwen2.5-7B-Instruct",
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-    {
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-        "score_type": "continuous",
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-}
diff --git a/data/hfopenllm_v2/HumanLLMs/Humanish-Qwen2.5-7B-Instruct/eeecb2cb-e286-443f-84aa-d825702a4ad8.json b/data/hfopenllm_v2/HumanLLMs/Humanish-Qwen2.5-7B-Instruct/eeecb2cb-e286-443f-84aa-d825702a4ad8.json
new file mode 100644
index 000000000..899bd0d00
--- /dev/null
+++ b/data/hfopenllm_v2/HumanLLMs/Humanish-Qwen2.5-7B-Instruct/eeecb2cb-e286-443f-84aa-d825702a4ad8.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/HumanLLMs_Humanish-Qwen2.5-7B-Instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Humanish-Qwen2.5-7B-Instruct",
+    "id": "HumanLLMs/Humanish-Qwen2.5-7B-Instruct",
+    "developer": "HumanLLMs",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7284
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5364
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2987
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3981
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4398
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/IDEA-CCNL/Ziya-LLaMA-13B-v1/36ab4f5a-b2cf-4d01-8283-9eaf2c90928f.json b/data/hfopenllm_v2/IDEA-CCNL/Ziya-LLaMA-13B-v1/36ab4f5a-b2cf-4d01-8283-9eaf2c90928f.json
new file mode 100644
index 000000000..27a4a8e2c
--- /dev/null
+++ b/data/hfopenllm_v2/IDEA-CCNL/Ziya-LLaMA-13B-v1/36ab4f5a-b2cf-4d01-8283-9eaf2c90928f.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/IDEA-CCNL_Ziya-LLaMA-13B-v1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Ziya-LLaMA-13B-v1",
+    "id": "IDEA-CCNL/Ziya-LLaMA-13B-v1",
+    "developer": "IDEA-CCNL",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 13.0
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
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+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
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+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1697
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+    {
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+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
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+        "score_type": "continuous",
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+        "max_score": 1.0
+      },
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+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/INSAIT-Institute/BgGPT-Gemma-2-27B-IT-v1.0/c4e810f1-ffb3-4ece-b445-64e339761530.json b/data/hfopenllm_v2/INSAIT-Institute/BgGPT-Gemma-2-27B-IT-v1.0/c4e810f1-ffb3-4ece-b445-64e339761530.json
new file mode 100644
index 000000000..225b86c3c
--- /dev/null
+++ b/data/hfopenllm_v2/INSAIT-Institute/BgGPT-Gemma-2-27B-IT-v1.0/c4e810f1-ffb3-4ece-b445-64e339761530.json
@@ -0,0 +1,132 @@
+{
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+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
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+    "source_type": "documentation",
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+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "BgGPT-Gemma-2-27B-IT-v1.0",
+    "id": "INSAIT-Institute/BgGPT-Gemma-2-27B-IT-v1.0",
+    "developer": "INSAIT-Institute",
+    "inference_platform": "unknown",
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+        "hf_repo": "SaylorTwift/bbh"
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+        "max_score": 1.0
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+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/IlyaGusev/gemma-2-2b-it-abliterated/025725b6-0034-48c0-a720-5fc210e5e24b.json b/data/hfopenllm_v2/IlyaGusev/gemma-2-2b-it-abliterated/025725b6-0034-48c0-a720-5fc210e5e24b.json
new file mode 100644
index 000000000..1daa4500b
--- /dev/null
+++ b/data/hfopenllm_v2/IlyaGusev/gemma-2-2b-it-abliterated/025725b6-0034-48c0-a720-5fc210e5e24b.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/IlyaGusev_gemma-2-2b-it-abliterated/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "gemma-2-2b-it-abliterated",
+    "id": "IlyaGusev/gemma-2-2b-it-abliterated",
+    "developer": "IlyaGusev",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Gemma2ForCausalLM",
+      "params_billions": 2.614
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
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+        "hf_repo": "google/IFEval"
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+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+    },
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+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
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+        "score_type": "continuous",
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+    {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
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+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/IlyaGusev/gemma-2-9b-it-abliterated/7bdd8928-c336-494e-9c87-de9ecc2749b8.json b/data/hfopenllm_v2/IlyaGusev/gemma-2-9b-it-abliterated/7bdd8928-c336-494e-9c87-de9ecc2749b8.json
new file mode 100644
index 000000000..b601a539f
--- /dev/null
+++ b/data/hfopenllm_v2/IlyaGusev/gemma-2-9b-it-abliterated/7bdd8928-c336-494e-9c87-de9ecc2749b8.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/IlyaGusev_gemma-2-9b-it-abliterated/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "gemma-2-9b-it-abliterated",
+    "id": "IlyaGusev/gemma-2-9b-it-abliterated",
+    "developer": "IlyaGusev",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Gemma2ForCausalLM",
+      "params_billions": 9.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7473
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5906
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4034
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Infinirc/Infinirc-Llama3-8B-2G-Release-v1.0/ff7369dc-3ff2-424b-80b0-e06a141b54f3.json b/data/hfopenllm_v2/Infinirc/Infinirc-Llama3-8B-2G-Release-v1.0/ff7369dc-3ff2-424b-80b0-e06a141b54f3.json
new file mode 100644
index 000000000..dde7937ec
--- /dev/null
+++ b/data/hfopenllm_v2/Infinirc/Infinirc-Llama3-8B-2G-Release-v1.0/ff7369dc-3ff2-424b-80b0-e06a141b54f3.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Infinirc_Infinirc-Llama3-8B-2G-Release-v1.0/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Infinirc-Llama3-8B-2G-Release-v1.0",
+    "id": "Infinirc/Infinirc-Llama3-8B-2G-Release-v1.0",
+    "developer": "Infinirc",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2024
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4351
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0166
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2995
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4609
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.216
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Intel/neural-chat-7b-v3-1/23b6bf8e-c79a-4620-9e15-2742f45130af.json b/data/hfopenllm_v2/Intel/neural-chat-7b-v3-1/23b6bf8e-c79a-4620-9e15-2742f45130af.json
deleted file mode 100644
index e2b864619..000000000
--- a/data/hfopenllm_v2/Intel/neural-chat-7b-v3-1/23b6bf8e-c79a-4620-9e15-2742f45130af.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/Intel_neural-chat-7b-v3-1/1762652579.6473012",
-  "retrieved_timestamp": "1762652579.647302",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Intel/neural-chat-7b-v3-1",
-    "developer": "Intel",
-    "inference_platform": "unknown",
-    "id": "Intel/neural-chat-7b-v3-1",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4686897432146704
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5051565464054848
-      }
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diff --git a/data/hfopenllm_v2/Intel/neural-chat-7b-v3-1/a6dc7253-75fd-4897-be85-8ac89fc11f8e.json b/data/hfopenllm_v2/Intel/neural-chat-7b-v3-1/a6dc7253-75fd-4897-be85-8ac89fc11f8e.json
new file mode 100644
index 000000000..c13200f68
--- /dev/null
+++ b/data/hfopenllm_v2/Intel/neural-chat-7b-v3-1/a6dc7253-75fd-4897-be85-8ac89fc11f8e.json
@@ -0,0 +1,132 @@
+{
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+    "source_type": "documentation",
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+  "model_info": {
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+    "id": "Intel/neural-chat-7b-v3-1",
+    "developer": "Intel",
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+    "additional_details": {
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+      "params_billions": 7.242
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+        "max_score": 1.0
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+      },
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
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+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Intel/neural-chat-7b-v3-2/296ceacc-542a-4000-bf9b-ae59b33a53ce.json b/data/hfopenllm_v2/Intel/neural-chat-7b-v3-2/296ceacc-542a-4000-bf9b-ae59b33a53ce.json
new file mode 100644
index 000000000..050bc7fae
--- /dev/null
+++ b/data/hfopenllm_v2/Intel/neural-chat-7b-v3-2/296ceacc-542a-4000-bf9b-ae59b33a53ce.json
@@ -0,0 +1,132 @@
+{
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+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "neural-chat-7b-v3-2",
+    "id": "Intel/neural-chat-7b-v3-2",
+    "developer": "Intel",
+    "inference_platform": "unknown",
+    "additional_details": {
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+      "architecture": "MistralForCausalLM",
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+        "source_type": "hf_dataset",
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+      },
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+        "hf_repo": "SaylorTwift/bbh"
+      },
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+        "evaluation_description": "Accuracy on BBH",
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+        "max_score": 1.0
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+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
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+        "evaluation_description": "Exact Match on MATH Level 5",
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+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
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+        "max_score": 1.0
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+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
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+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Intel/neural-chat-7b-v3-2/f8842523-53de-4197-9cf4-979780cbe127.json b/data/hfopenllm_v2/Intel/neural-chat-7b-v3-2/f8842523-53de-4197-9cf4-979780cbe127.json
deleted file mode 100644
index 93038f9da..000000000
--- a/data/hfopenllm_v2/Intel/neural-chat-7b-v3-2/f8842523-53de-4197-9cf4-979780cbe127.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/Intel/neural-chat-7b-v3-3/0bec0f9a-863b-42f5-96eb-7263eb1c8a61.json b/data/hfopenllm_v2/Intel/neural-chat-7b-v3-3/0bec0f9a-863b-42f5-96eb-7263eb1c8a61.json
deleted file mode 100644
index 911daab6f..000000000
--- a/data/hfopenllm_v2/Intel/neural-chat-7b-v3-3/0bec0f9a-863b-42f5-96eb-7263eb1c8a61.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/Intel/neural-chat-7b-v3-3/13870577-7579-48b4-9c92-202318ca6ecc.json b/data/hfopenllm_v2/Intel/neural-chat-7b-v3-3/13870577-7579-48b4-9c92-202318ca6ecc.json
new file mode 100644
index 000000000..f546afc25
--- /dev/null
+++ b/data/hfopenllm_v2/Intel/neural-chat-7b-v3-3/13870577-7579-48b4-9c92-202318ca6ecc.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Intel_neural-chat-7b-v3-3/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
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+  "model_info": {
+    "name": "neural-chat-7b-v3-3",
+    "id": "Intel/neural-chat-7b-v3-3",
+    "developer": "Intel",
+    "inference_platform": "unknown",
+    "additional_details": {
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+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.0
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+  "evaluation_results": [
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
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+        "hf_repo": "SaylorTwift/bbh"
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+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
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+        "dataset_name": "MATH Level 5",
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+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
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+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
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+        "score": 0.2894
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+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
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+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.486
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2625
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Intel/neural-chat-7b-v3/617dbd41-3ca3-46d8-8fd2-491d6be39554.json b/data/hfopenllm_v2/Intel/neural-chat-7b-v3/617dbd41-3ca3-46d8-8fd2-491d6be39554.json
deleted file mode 100644
index 22031e71d..000000000
--- a/data/hfopenllm_v2/Intel/neural-chat-7b-v3/617dbd41-3ca3-46d8-8fd2-491d6be39554.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Intel_neural-chat-7b-v3/1762652579.646828",
-  "retrieved_timestamp": "1762652579.6468291",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Intel/neural-chat-7b-v3",
-    "developer": "Intel",
-    "inference_platform": "unknown",
-    "id": "Intel/neural-chat-7b-v3",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.0
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.27779735546128714
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5048316221363103
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.02945619335347432
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.29194630872483224
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5054895833333334
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.26986369680851063
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Intel/neural-chat-7b-v3/6ebd2806-2623-4773-93bd-1036ff01cb8c.json b/data/hfopenllm_v2/Intel/neural-chat-7b-v3/6ebd2806-2623-4773-93bd-1036ff01cb8c.json
new file mode 100644
index 000000000..937a77afe
--- /dev/null
+++ b/data/hfopenllm_v2/Intel/neural-chat-7b-v3/6ebd2806-2623-4773-93bd-1036ff01cb8c.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Intel_neural-chat-7b-v3/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "neural-chat-7b-v3",
+    "id": "Intel/neural-chat-7b-v3",
+    "developer": "Intel",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.0
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2778
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5048
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0295
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2919
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5055
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2699
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/IntervitensInc/internlm2_5-20b-llamafied/99d6a44b-d556-4674-8ade-a5b30cf99255.json b/data/hfopenllm_v2/IntervitensInc/internlm2_5-20b-llamafied/99d6a44b-d556-4674-8ade-a5b30cf99255.json
new file mode 100644
index 000000000..9f01570fc
--- /dev/null
+++ b/data/hfopenllm_v2/IntervitensInc/internlm2_5-20b-llamafied/99d6a44b-d556-4674-8ade-a5b30cf99255.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/IntervitensInc_internlm2_5-20b-llamafied/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "internlm2_5-20b-llamafied",
+    "id": "IntervitensInc/internlm2_5-20b-llamafied",
+    "developer": "IntervitensInc",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 19.861
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.341
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7478
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1715
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3381
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4475
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4051
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Invalid-Null/PeiYangMe-0.5/605118a3-316a-46b5-9719-f596e361a2a8.json b/data/hfopenllm_v2/Invalid-Null/PeiYangMe-0.5/605118a3-316a-46b5-9719-f596e361a2a8.json
new file mode 100644
index 000000000..cb284ea11
--- /dev/null
+++ b/data/hfopenllm_v2/Invalid-Null/PeiYangMe-0.5/605118a3-316a-46b5-9719-f596e361a2a8.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Invalid-Null_PeiYangMe-0.5/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "PeiYangMe-0.5",
+    "id": "Invalid-Null/PeiYangMe-0.5",
+    "developer": "Invalid-Null",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 6.061
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1409
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2791
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2441
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3738
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1109
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Invalid-Null/PeiYangMe-0.5/c645a252-366a-4890-a16b-bf687bfbb593.json b/data/hfopenllm_v2/Invalid-Null/PeiYangMe-0.5/c645a252-366a-4890-a16b-bf687bfbb593.json
deleted file mode 100644
index bfbc81d92..000000000
--- a/data/hfopenllm_v2/Invalid-Null/PeiYangMe-0.5/c645a252-366a-4890-a16b-bf687bfbb593.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Invalid-Null_PeiYangMe-0.5/1762652579.648252",
-  "retrieved_timestamp": "1762652579.648252",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Invalid-Null/PeiYangMe-0.5",
-    "developer": "Invalid-Null",
-    "inference_platform": "unknown",
-    "id": "Invalid-Null/PeiYangMe-0.5",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 6.061
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.14088507382633633
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.27907748194216614
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.0
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.24412751677852348
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37381249999999994
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11087101063829788
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Invalid-Null/PeiYangMe-0.7/271d2829-fbd4-438e-9f09-59539af68c8b.json b/data/hfopenllm_v2/Invalid-Null/PeiYangMe-0.7/271d2829-fbd4-438e-9f09-59539af68c8b.json
new file mode 100644
index 000000000..b5d375fc5
--- /dev/null
+++ b/data/hfopenllm_v2/Invalid-Null/PeiYangMe-0.7/271d2829-fbd4-438e-9f09-59539af68c8b.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Invalid-Null_PeiYangMe-0.7/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "PeiYangMe-0.7",
+    "id": "Invalid-Null/PeiYangMe-0.7",
+    "developer": "Invalid-Null",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 6.061
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1491
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3028
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0113
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2332
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3857
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1101
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Invalid-Null/PeiYangMe-0.7/294c1745-38cb-4b1e-aae6-e2878ab9065a.json b/data/hfopenllm_v2/Invalid-Null/PeiYangMe-0.7/294c1745-38cb-4b1e-aae6-e2878ab9065a.json
deleted file mode 100644
index befc1198e..000000000
--- a/data/hfopenllm_v2/Invalid-Null/PeiYangMe-0.7/294c1745-38cb-4b1e-aae6-e2878ab9065a.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Invalid-Null_PeiYangMe-0.7/1762652579.648521",
-  "retrieved_timestamp": "1762652579.648522",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Invalid-Null/PeiYangMe-0.7",
-    "developer": "Invalid-Null",
-    "inference_platform": "unknown",
-    "id": "Invalid-Null/PeiYangMe-0.7",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 6.061
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1491032682172192
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30275310145886614
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.011329305135951661
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2332214765100671
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.38571874999999994
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11012300531914894
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Isaak-Carter/JOSIEv4o-8b-stage1-v4/107bc549-75c1-4272-b567-f8ab9f6cd675.json b/data/hfopenllm_v2/Isaak-Carter/JOSIEv4o-8b-stage1-v4/107bc549-75c1-4272-b567-f8ab9f6cd675.json
new file mode 100644
index 000000000..ffdfacf77
--- /dev/null
+++ b/data/hfopenllm_v2/Isaak-Carter/JOSIEv4o-8b-stage1-v4/107bc549-75c1-4272-b567-f8ab9f6cd675.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Isaak-Carter_JOSIEv4o-8b-stage1-v4/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "JOSIEv4o-8b-stage1-v4",
+    "id": "Isaak-Carter/JOSIEv4o-8b-stage1-v4",
+    "developer": "Isaak-Carter",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2477
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4758
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0453
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2911
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3641
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3292
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Isaak-Carter/JOSIEv4o-8b-stage1-v4/dfb451e9-c1c1-45a1-8082-155763366129.json b/data/hfopenllm_v2/Isaak-Carter/JOSIEv4o-8b-stage1-v4/dfb451e9-c1c1-45a1-8082-155763366129.json
new file mode 100644
index 000000000..9fc986679
--- /dev/null
+++ b/data/hfopenllm_v2/Isaak-Carter/JOSIEv4o-8b-stage1-v4/dfb451e9-c1c1-45a1-8082-155763366129.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Isaak-Carter_JOSIEv4o-8b-stage1-v4/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "JOSIEv4o-8b-stage1-v4",
+    "id": "Isaak-Carter/JOSIEv4o-8b-stage1-v4",
+    "developer": "Isaak-Carter",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2553
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4725
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0529
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2919
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3654
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3316
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Isaak-Carter/JOSIEv4o-8b-stage1-v4/e8bdfeef-9795-4b00-adec-6ac41c6718f7.json b/data/hfopenllm_v2/Isaak-Carter/JOSIEv4o-8b-stage1-v4/e8bdfeef-9795-4b00-adec-6ac41c6718f7.json
deleted file mode 100644
index fe9728949..000000000
--- a/data/hfopenllm_v2/Isaak-Carter/JOSIEv4o-8b-stage1-v4/e8bdfeef-9795-4b00-adec-6ac41c6718f7.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Isaak-Carter_JOSIEv4o-8b-stage1-v4/1762652579.648735",
-  "retrieved_timestamp": "1762652579.648736",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Isaak-Carter/JOSIEv4o-8b-stage1-v4",
-    "developer": "Isaak-Carter",
-    "inference_platform": "unknown",
-    "id": "Isaak-Carter/JOSIEv4o-8b-stage1-v4",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2552660274737696
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4724973116620121
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.052870090634441085
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.29194630872483224
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3654375
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3316156914893617
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Isaak-Carter/JOSIEv4o-8b-stage1-v4/f28b57ba-103a-41bb-93b0-7b25fd155351.json b/data/hfopenllm_v2/Isaak-Carter/JOSIEv4o-8b-stage1-v4/f28b57ba-103a-41bb-93b0-7b25fd155351.json
deleted file mode 100644
index feafa4522..000000000
--- a/data/hfopenllm_v2/Isaak-Carter/JOSIEv4o-8b-stage1-v4/f28b57ba-103a-41bb-93b0-7b25fd155351.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Isaak-Carter_JOSIEv4o-8b-stage1-v4/1762652579.6489909",
-  "retrieved_timestamp": "1762652579.648992",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
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-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Isaak-Carter/JOSIEv4o-8b-stage1-v4",
-    "developer": "Isaak-Carter",
-    "inference_platform": "unknown",
-    "id": "Isaak-Carter/JOSIEv4o-8b-stage1-v4",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2476972211509905
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4758066295235124
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.045317220543806644
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2911073825503356
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3641041666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.32920545212765956
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Isaak-Carter/Josiefied-Qwen2.5-7B-Instruct-abliterated-v2/817eb9e1-bd7d-4033-b0ea-bc7df58dc087.json b/data/hfopenllm_v2/Isaak-Carter/Josiefied-Qwen2.5-7B-Instruct-abliterated-v2/817eb9e1-bd7d-4033-b0ea-bc7df58dc087.json
deleted file mode 100644
index 18e99d617..000000000
--- a/data/hfopenllm_v2/Isaak-Carter/Josiefied-Qwen2.5-7B-Instruct-abliterated-v2/817eb9e1-bd7d-4033-b0ea-bc7df58dc087.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Isaak-Carter_Josiefied-Qwen2.5-7B-Instruct-abliterated-v2/1762652579.649409",
-  "retrieved_timestamp": "1762652579.64941",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Isaak-Carter/Josiefied-Qwen2.5-7B-Instruct-abliterated-v2",
-    "developer": "Isaak-Carter",
-    "inference_platform": "unknown",
-    "id": "Isaak-Carter/Josiefied-Qwen2.5-7B-Instruct-abliterated-v2",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.616
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7841039552830933
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5310923599182072
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.47205438066465255
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2986577181208054
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.43539583333333337
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4128158244680851
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Isaak-Carter/Josiefied-Qwen2.5-7B-Instruct-abliterated-v2/b2d80977-d079-42ec-b057-5aac530b9d70.json b/data/hfopenllm_v2/Isaak-Carter/Josiefied-Qwen2.5-7B-Instruct-abliterated-v2/b2d80977-d079-42ec-b057-5aac530b9d70.json
new file mode 100644
index 000000000..839f443ca
--- /dev/null
+++ b/data/hfopenllm_v2/Isaak-Carter/Josiefied-Qwen2.5-7B-Instruct-abliterated-v2/b2d80977-d079-42ec-b057-5aac530b9d70.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Isaak-Carter_Josiefied-Qwen2.5-7B-Instruct-abliterated-v2/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Josiefied-Qwen2.5-7B-Instruct-abliterated-v2",
+    "id": "Isaak-Carter/Josiefied-Qwen2.5-7B-Instruct-abliterated-v2",
+    "developer": "Isaak-Carter",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7841
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5311
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4721
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2987
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4354
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4128
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Isaak-Carter/Josiefied-Qwen2.5-7B-Instruct-abliterated/16b33b80-3b4b-4edb-b89f-3d93dca8969c.json b/data/hfopenllm_v2/Isaak-Carter/Josiefied-Qwen2.5-7B-Instruct-abliterated/16b33b80-3b4b-4edb-b89f-3d93dca8969c.json
new file mode 100644
index 000000000..7fb690341
--- /dev/null
+++ b/data/hfopenllm_v2/Isaak-Carter/Josiefied-Qwen2.5-7B-Instruct-abliterated/16b33b80-3b4b-4edb-b89f-3d93dca8969c.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Isaak-Carter_Josiefied-Qwen2.5-7B-Instruct-abliterated/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Josiefied-Qwen2.5-7B-Instruct-abliterated",
+    "id": "Isaak-Carter/Josiefied-Qwen2.5-7B-Instruct-abliterated",
+    "developer": "Isaak-Carter",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7317
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5396
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4924
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3029
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4087
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4276
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Isaak-Carter/Josiefied-Qwen2.5-7B-Instruct-abliterated/2013b3a9-3644-4f66-9941-b5d2ba6e7b81.json b/data/hfopenllm_v2/Isaak-Carter/Josiefied-Qwen2.5-7B-Instruct-abliterated/2013b3a9-3644-4f66-9941-b5d2ba6e7b81.json
deleted file mode 100644
index 21e509a95..000000000
--- a/data/hfopenllm_v2/Isaak-Carter/Josiefied-Qwen2.5-7B-Instruct-abliterated/2013b3a9-3644-4f66-9941-b5d2ba6e7b81.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Isaak-Carter_Josiefied-Qwen2.5-7B-Instruct-abliterated/1762652579.6491818",
-  "retrieved_timestamp": "1762652579.649183",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Isaak-Carter/Josiefied-Qwen2.5-7B-Instruct-abliterated",
-    "developer": "Isaak-Carter",
-    "inference_platform": "unknown",
-    "id": "Isaak-Carter/Josiefied-Qwen2.5-7B-Instruct-abliterated",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.616
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7317473193349202
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5396376284460921
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.49244712990936557
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3028523489932886
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4086666666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4276097074468085
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/J-LAB/Thynk_orpo/3565fba3-e63d-49f8-9e8f-deef83531eb9.json b/data/hfopenllm_v2/J-LAB/Thynk_orpo/3565fba3-e63d-49f8-9e8f-deef83531eb9.json
deleted file mode 100644
index 36962f3e7..000000000
--- a/data/hfopenllm_v2/J-LAB/Thynk_orpo/3565fba3-e63d-49f8-9e8f-deef83531eb9.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/J-LAB_Thynk_orpo/1762652579.649622",
-  "retrieved_timestamp": "1762652579.6496232",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
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new file mode 100644
index 000000000..9f7d195c4
--- /dev/null
+++ b/data/hfopenllm_v2/J-LAB/Thynk_orpo/63c94e0a-4572-4b8a-bfe0-7f88bb847d7f.json
@@ -0,0 +1,132 @@
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/JackFram/llama-160m/538f2b43-328c-456d-8a40-ff2b37924453.json b/data/hfopenllm_v2/JackFram/llama-160m/538f2b43-328c-456d-8a40-ff2b37924453.json
new file mode 100644
index 000000000..94fe29570
--- /dev/null
+++ b/data/hfopenllm_v2/JackFram/llama-160m/538f2b43-328c-456d-8a40-ff2b37924453.json
@@ -0,0 +1,132 @@
+{
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/JackFram/llama-68m/fb7a68e6-716e-48c6-96c0-d227735f9a7c.json b/data/hfopenllm_v2/JackFram/llama-68m/fb7a68e6-716e-48c6-96c0-d227735f9a7c.json
new file mode 100644
index 000000000..620583267
--- /dev/null
+++ b/data/hfopenllm_v2/JackFram/llama-68m/fb7a68e6-716e-48c6-96c0-d227735f9a7c.json
@@ -0,0 +1,132 @@
+{
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Jacoby746/Casual-Magnum-34B/0b9358f8-1e27-448f-9932-1f2c6feac036.json b/data/hfopenllm_v2/Jacoby746/Casual-Magnum-34B/0b9358f8-1e27-448f-9932-1f2c6feac036.json
deleted file mode 100644
index 8b6b45456..000000000
--- a/data/hfopenllm_v2/Jacoby746/Casual-Magnum-34B/0b9358f8-1e27-448f-9932-1f2c6feac036.json
+++ /dev/null
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-}
diff --git a/data/hfopenllm_v2/Jacoby746/Casual-Magnum-34B/3593d4b8-5602-4cca-935f-a76e342f060a.json b/data/hfopenllm_v2/Jacoby746/Casual-Magnum-34B/3593d4b8-5602-4cca-935f-a76e342f060a.json
new file mode 100644
index 000000000..b0ceabd5f
--- /dev/null
+++ b/data/hfopenllm_v2/Jacoby746/Casual-Magnum-34B/3593d4b8-5602-4cca-935f-a76e342f060a.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Jacoby746_Casual-Magnum-34B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
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+  "model_info": {
+    "name": "Casual-Magnum-34B",
+    "id": "Jacoby746/Casual-Magnum-34B",
+    "developer": "Jacoby746",
+    "inference_platform": "unknown",
+    "additional_details": {
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+      "architecture": "LlamaForCausalLM",
+      "params_billions": 34.389
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+  },
+  "evaluation_results": [
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
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+        "min_score": 0.0,
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6032
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0921
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3725
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4078
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5184
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Jacoby746/Inf-Silent-Kunoichi-v0.1-2x7B/72d503fc-b221-498e-811a-a806769175d6.json b/data/hfopenllm_v2/Jacoby746/Inf-Silent-Kunoichi-v0.1-2x7B/72d503fc-b221-498e-811a-a806769175d6.json
new file mode 100644
index 000000000..eeb08788f
--- /dev/null
+++ b/data/hfopenllm_v2/Jacoby746/Inf-Silent-Kunoichi-v0.1-2x7B/72d503fc-b221-498e-811a-a806769175d6.json
@@ -0,0 +1,132 @@
+{
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+  "evaluation_id": "hfopenllm_v2/Jacoby746_Inf-Silent-Kunoichi-v0.1-2x7B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Inf-Silent-Kunoichi-v0.1-2x7B",
+    "id": "Jacoby746/Inf-Silent-Kunoichi-v0.1-2x7B",
+    "developer": "Jacoby746",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "MixtralForCausalLM",
+      "params_billions": 12.879
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.388
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5185
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+    },
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+      "source_data": {
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+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+      }
+    },
+    {
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+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.428
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+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3271
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Jacoby746/Inf-Silent-Kunoichi-v0.1-2x7B/d1fa6abf-be2b-4ea6-bcbe-066ac37aa54f.json b/data/hfopenllm_v2/Jacoby746/Inf-Silent-Kunoichi-v0.1-2x7B/d1fa6abf-be2b-4ea6-bcbe-066ac37aa54f.json
deleted file mode 100644
index d704fb134..000000000
--- a/data/hfopenllm_v2/Jacoby746/Inf-Silent-Kunoichi-v0.1-2x7B/d1fa6abf-be2b-4ea6-bcbe-066ac37aa54f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/Jacoby746_Inf-Silent-Kunoichi-v0.1-2x7B/1762652579.6505952",
-  "retrieved_timestamp": "1762652579.6505961",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
-    "name": "Jacoby746/Inf-Silent-Kunoichi-v0.1-2x7B",
-    "developer": "Jacoby746",
-    "inference_platform": "unknown",
-    "id": "Jacoby746/Inf-Silent-Kunoichi-v0.1-2x7B",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "MixtralForCausalLM",
-      "params_billions": 12.879
-    }
-  },
-  "evaluation_results": [
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-        "lower_is_better": false,
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-    },
-    {
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-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42804166666666665
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3271276595744681
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Jacoby746/Inf-Silent-Kunoichi-v0.2-2x7B/ad7d9698-d9e6-4f2d-9767-987835626c8c.json b/data/hfopenllm_v2/Jacoby746/Inf-Silent-Kunoichi-v0.2-2x7B/ad7d9698-d9e6-4f2d-9767-987835626c8c.json
new file mode 100644
index 000000000..1870540b9
--- /dev/null
+++ b/data/hfopenllm_v2/Jacoby746/Inf-Silent-Kunoichi-v0.2-2x7B/ad7d9698-d9e6-4f2d-9767-987835626c8c.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Jacoby746_Inf-Silent-Kunoichi-v0.2-2x7B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Inf-Silent-Kunoichi-v0.2-2x7B",
+    "id": "Jacoby746/Inf-Silent-Kunoichi-v0.2-2x7B",
+    "developer": "Jacoby746",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "MixtralForCausalLM",
+      "params_billions": 12.879
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3636
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5209
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0627
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3003
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.432
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3272
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Jacoby746/Inf-Silent-Kunoichi-v0.2-2x7B/f611991b-11c1-4232-bc63-8cf2942605ae.json b/data/hfopenllm_v2/Jacoby746/Inf-Silent-Kunoichi-v0.2-2x7B/f611991b-11c1-4232-bc63-8cf2942605ae.json
deleted file mode 100644
index 72ab2175a..000000000
--- a/data/hfopenllm_v2/Jacoby746/Inf-Silent-Kunoichi-v0.2-2x7B/f611991b-11c1-4232-bc63-8cf2942605ae.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Jacoby746_Inf-Silent-Kunoichi-v0.2-2x7B/1762652579.650832",
-  "retrieved_timestamp": "1762652579.650833",
-  "source_data": [
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-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Jacoby746/Inf-Silent-Kunoichi-v0.2-2x7B",
-    "developer": "Jacoby746",
-    "inference_platform": "unknown",
-    "id": "Jacoby746/Inf-Silent-Kunoichi-v0.2-2x7B",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "MixtralForCausalLM",
-      "params_billions": 12.879
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-        "max_score": 1
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-        "evaluation_description": "Accuracy on MUSR",
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-        "max_score": 1
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-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.32721077127659576
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-}
diff --git a/data/hfopenllm_v2/Jacoby746/Proto-Athena-4x7B/27d9d5c2-39d8-45e5-9614-a343144f05d8.json b/data/hfopenllm_v2/Jacoby746/Proto-Athena-4x7B/27d9d5c2-39d8-45e5-9614-a343144f05d8.json
deleted file mode 100644
index 0d1301887..000000000
--- a/data/hfopenllm_v2/Jacoby746/Proto-Athena-4x7B/27d9d5c2-39d8-45e5-9614-a343144f05d8.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/Jacoby746_Proto-Athena-4x7B/1762652579.651071",
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-  "source_data": [
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-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
-    "name": "Jacoby746/Proto-Athena-4x7B",
-    "developer": "Jacoby746",
-    "inference_platform": "unknown",
-    "id": "Jacoby746/Proto-Athena-4x7B",
-    "additional_details": {
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-      "architecture": "MixtralForCausalLM",
-      "params_billions": 24.154
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-        "lower_is_better": false,
-        "score_type": "continuous",
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Jacoby746/Proto-Athena-4x7B/98899942-fcf0-41de-8587-44d7429bea47.json b/data/hfopenllm_v2/Jacoby746/Proto-Athena-4x7B/98899942-fcf0-41de-8587-44d7429bea47.json
new file mode 100644
index 000000000..290b886ee
--- /dev/null
+++ b/data/hfopenllm_v2/Jacoby746/Proto-Athena-4x7B/98899942-fcf0-41de-8587-44d7429bea47.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Jacoby746_Proto-Athena-4x7B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Proto-Athena-4x7B",
+    "id": "Jacoby746/Proto-Athena-4x7B",
+    "developer": "Jacoby746",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "MixtralForCausalLM",
+      "params_billions": 24.154
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3703
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5107
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.065
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2945
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4348
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3206
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Jacoby746/Proto-Athena-v0.2-4x7B/060feab1-4ce6-44a9-8ae2-c06468dd4dc9.json b/data/hfopenllm_v2/Jacoby746/Proto-Athena-v0.2-4x7B/060feab1-4ce6-44a9-8ae2-c06468dd4dc9.json
deleted file mode 100644
index de17cdf46..000000000
--- a/data/hfopenllm_v2/Jacoby746/Proto-Athena-v0.2-4x7B/060feab1-4ce6-44a9-8ae2-c06468dd4dc9.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Jacoby746_Proto-Athena-v0.2-4x7B/1762652579.651291",
-  "retrieved_timestamp": "1762652579.6512918",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Jacoby746/Proto-Athena-v0.2-4x7B",
-    "developer": "Jacoby746",
-    "inference_platform": "unknown",
-    "id": "Jacoby746/Proto-Athena-v0.2-4x7B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MixtralForCausalLM",
-      "params_billions": 24.154
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37524213531208306
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5067731005424964
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.0634441087613293
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2986577181208054
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42128125
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3197307180851064
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Jacoby746/Proto-Athena-v0.2-4x7B/bb51eb59-88f6-49c2-814a-11b2c80313d0.json b/data/hfopenllm_v2/Jacoby746/Proto-Athena-v0.2-4x7B/bb51eb59-88f6-49c2-814a-11b2c80313d0.json
new file mode 100644
index 000000000..93635570d
--- /dev/null
+++ b/data/hfopenllm_v2/Jacoby746/Proto-Athena-v0.2-4x7B/bb51eb59-88f6-49c2-814a-11b2c80313d0.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Jacoby746_Proto-Athena-v0.2-4x7B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Proto-Athena-v0.2-4x7B",
+    "id": "Jacoby746/Proto-Athena-v0.2-4x7B",
+    "developer": "Jacoby746",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MixtralForCausalLM",
+      "params_billions": 24.154
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3752
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5068
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0634
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2987
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4213
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3197
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Jacoby746/Proto-Harpy-Blazing-Light-v0.1-2x7B/d8563f36-e299-4186-a5dc-9dae51824e1f.json b/data/hfopenllm_v2/Jacoby746/Proto-Harpy-Blazing-Light-v0.1-2x7B/d8563f36-e299-4186-a5dc-9dae51824e1f.json
new file mode 100644
index 000000000..38b06bee1
--- /dev/null
+++ b/data/hfopenllm_v2/Jacoby746/Proto-Harpy-Blazing-Light-v0.1-2x7B/d8563f36-e299-4186-a5dc-9dae51824e1f.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Jacoby746_Proto-Harpy-Blazing-Light-v0.1-2x7B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Proto-Harpy-Blazing-Light-v0.1-2x7B",
+    "id": "Jacoby746/Proto-Harpy-Blazing-Light-v0.1-2x7B",
+    "developer": "Jacoby746",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "MixtralForCausalLM",
+      "params_billions": 12.879
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4905
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5187
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0748
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2953
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.445
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3301
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Jacoby746/Proto-Harpy-Blazing-Light-v0.1-2x7B/f7455f30-e04e-4bc6-9d71-e33272d4577c.json b/data/hfopenllm_v2/Jacoby746/Proto-Harpy-Blazing-Light-v0.1-2x7B/f7455f30-e04e-4bc6-9d71-e33272d4577c.json
deleted file mode 100644
index fffa52b34..000000000
--- a/data/hfopenllm_v2/Jacoby746/Proto-Harpy-Blazing-Light-v0.1-2x7B/f7455f30-e04e-4bc6-9d71-e33272d4577c.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Jacoby746_Proto-Harpy-Blazing-Light-v0.1-2x7B/1762652579.651509",
-  "retrieved_timestamp": "1762652579.65151",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Jacoby746/Proto-Harpy-Blazing-Light-v0.1-2x7B",
-    "developer": "Jacoby746",
-    "inference_platform": "unknown",
-    "id": "Jacoby746/Proto-Harpy-Blazing-Light-v0.1-2x7B",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "MixtralForCausalLM",
-      "params_billions": 12.879
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4904719477652628
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5186849053052595
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
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diff --git a/data/hfopenllm_v2/Jacoby746/Proto-Harpy-Spark-v0.1-7B/420cf07c-f043-49db-a62d-91e0c21aff2f.json b/data/hfopenllm_v2/Jacoby746/Proto-Harpy-Spark-v0.1-7B/420cf07c-f043-49db-a62d-91e0c21aff2f.json
deleted file mode 100644
index b33085744..000000000
--- a/data/hfopenllm_v2/Jacoby746/Proto-Harpy-Spark-v0.1-7B/420cf07c-f043-49db-a62d-91e0c21aff2f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
-    "name": "Jacoby746/Proto-Harpy-Spark-v0.1-7B",
-    "developer": "Jacoby746",
-    "inference_platform": "unknown",
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diff --git a/data/hfopenllm_v2/Jacoby746/Proto-Harpy-Spark-v0.1-7B/43bc0528-7bc5-4eac-8848-c9995079450f.json b/data/hfopenllm_v2/Jacoby746/Proto-Harpy-Spark-v0.1-7B/43bc0528-7bc5-4eac-8848-c9995079450f.json
new file mode 100644
index 000000000..220166198
--- /dev/null
+++ b/data/hfopenllm_v2/Jacoby746/Proto-Harpy-Spark-v0.1-7B/43bc0528-7bc5-4eac-8848-c9995079450f.json
@@ -0,0 +1,132 @@
+{
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+  "evaluation_id": "hfopenllm_v2/Jacoby746_Proto-Harpy-Spark-v0.1-7B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Proto-Harpy-Spark-v0.1-7B",
+    "id": "Jacoby746/Proto-Harpy-Spark-v0.1-7B",
+    "developer": "Jacoby746",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4333
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+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4736
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+    {
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+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4317
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+    },
+    {
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+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3069
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen-0.5B-DPO-1epoch/7da8cc7e-791f-420d-9004-b29ddf54e381.json b/data/hfopenllm_v2/JayHyeon/Qwen-0.5B-DPO-1epoch/7da8cc7e-791f-420d-9004-b29ddf54e381.json
deleted file mode 100644
index 70278daab..000000000
--- a/data/hfopenllm_v2/JayHyeon/Qwen-0.5B-DPO-1epoch/7da8cc7e-791f-420d-9004-b29ddf54e381.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "source_data": [
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-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
-    "name": "JayHyeon/Qwen-0.5B-DPO-1epoch",
-    "developer": "JayHyeon",
-    "inference_platform": "unknown",
-    "id": "JayHyeon/Qwen-0.5B-DPO-1epoch",
-    "additional_details": {
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-      "params_billions": 0.494
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-        "lower_is_better": false,
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-    {
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-        "lower_is_better": false,
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-        "max_score": 1
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-      "score_details": {
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-  ]
-}
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen-0.5B-DPO-1epoch/ce19893b-a7e1-4f8e-96f2-eb9cee2afeac.json b/data/hfopenllm_v2/JayHyeon/Qwen-0.5B-DPO-1epoch/ce19893b-a7e1-4f8e-96f2-eb9cee2afeac.json
new file mode 100644
index 000000000..b932687e9
--- /dev/null
+++ b/data/hfopenllm_v2/JayHyeon/Qwen-0.5B-DPO-1epoch/ce19893b-a7e1-4f8e-96f2-eb9cee2afeac.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen-0.5B-DPO-1epoch/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen-0.5B-DPO-1epoch",
+    "id": "JayHyeon/Qwen-0.5B-DPO-1epoch",
+    "developer": "JayHyeon",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2Model",
+      "params_billions": 0.494
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2647
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3191
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0287
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2525
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3352
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1558
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen-0.5B-DPO-5epoch/24629e14-d197-4a5b-adff-7840af652f22.json b/data/hfopenllm_v2/JayHyeon/Qwen-0.5B-DPO-5epoch/24629e14-d197-4a5b-adff-7840af652f22.json
new file mode 100644
index 000000000..ab62482c6
--- /dev/null
+++ b/data/hfopenllm_v2/JayHyeon/Qwen-0.5B-DPO-5epoch/24629e14-d197-4a5b-adff-7840af652f22.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen-0.5B-DPO-5epoch/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen-0.5B-DPO-5epoch",
+    "id": "JayHyeon/Qwen-0.5B-DPO-5epoch",
+    "developer": "JayHyeon",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2Model",
+      "params_billions": 0.494
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.257
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3112
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.04
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2433
+      }
+    },
+    {
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+      "source_data": {
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen-0.5B-DPO-5epoch/42960491-549f-42bb-9669-5231ca0c436b.json b/data/hfopenllm_v2/JayHyeon/Qwen-0.5B-DPO-5epoch/42960491-549f-42bb-9669-5231ca0c436b.json
deleted file mode 100644
index 1e9f04e21..000000000
--- a/data/hfopenllm_v2/JayHyeon/Qwen-0.5B-DPO-5epoch/42960491-549f-42bb-9669-5231ca0c436b.json
+++ /dev/null
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new file mode 100644
index 000000000..bd901d9fc
--- /dev/null
+++ b/data/hfopenllm_v2/JayHyeon/Qwen-0.5B-IRPO-1epoch/9c3ea35c-2cf7-4c31-8b83-c69df3cd9448.json
@@ -0,0 +1,132 @@
+{
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen-0.5B-IRPO-5epoch/46548403-6eb5-4f7a-874c-1327420f4cab.json b/data/hfopenllm_v2/JayHyeon/Qwen-0.5B-IRPO-5epoch/46548403-6eb5-4f7a-874c-1327420f4cab.json
new file mode 100644
index 000000000..296d7cd98
--- /dev/null
+++ b/data/hfopenllm_v2/JayHyeon/Qwen-0.5B-IRPO-5epoch/46548403-6eb5-4f7a-874c-1327420f4cab.json
@@ -0,0 +1,132 @@
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen-0.5B-eDPO-1epoch/0bd9c061-b7ee-4bc2-9deb-ea7eea012c49.json b/data/hfopenllm_v2/JayHyeon/Qwen-0.5B-eDPO-1epoch/0bd9c061-b7ee-4bc2-9deb-ea7eea012c49.json
new file mode 100644
index 000000000..e9415599f
--- /dev/null
+++ b/data/hfopenllm_v2/JayHyeon/Qwen-0.5B-eDPO-1epoch/0bd9c061-b7ee-4bc2-9deb-ea7eea012c49.json
@@ -0,0 +1,132 @@
+{
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+    "source_type": "documentation",
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen-0.5B-eDPO-5epoch/aa2fe858-111c-45e8-b0d4-0048d7fc7ef7.json b/data/hfopenllm_v2/JayHyeon/Qwen-0.5B-eDPO-5epoch/aa2fe858-111c-45e8-b0d4-0048d7fc7ef7.json
new file mode 100644
index 000000000..c6919cc60
--- /dev/null
+++ b/data/hfopenllm_v2/JayHyeon/Qwen-0.5B-eDPO-5epoch/aa2fe858-111c-45e8-b0d4-0048d7fc7ef7.json
@@ -0,0 +1,132 @@
+{
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+  "source_metadata": {
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+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
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+  "model_info": {
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+    "id": "JayHyeon/Qwen-0.5B-eDPO-5epoch",
+    "developer": "JayHyeon",
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+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2492
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3326
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1523
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-Instruct-SFT-DPO-1epoch_v1/46c6ab7f-33a0-4e72-9a63-b24da3f9c4d6.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-Instruct-SFT-DPO-1epoch_v1/46c6ab7f-33a0-4e72-9a63-b24da3f9c4d6.json
deleted file mode 100644
index 11512db01..000000000
--- a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-Instruct-SFT-DPO-1epoch_v1/46c6ab7f-33a0-4e72-9a63-b24da3f9c4d6.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-Instruct-SFT-DPO-1epoch_v1/1762652579.653574",
-  "retrieved_timestamp": "1762652579.653575",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "JayHyeon/Qwen2.5-0.5B-Instruct-SFT-DPO-1epoch_v1",
-    "developer": "JayHyeon",
-    "inference_platform": "unknown",
-    "id": "JayHyeon/Qwen2.5-0.5B-Instruct-SFT-DPO-1epoch_v1",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2Model",
-      "params_billions": 0.494
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.24687274210206694
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3260313037664168
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.06495468277945618
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2726510067114094
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.34336458333333336
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1574966755319149
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-Instruct-SFT-DPO-1epoch_v1/ad03cae6-b126-4157-a225-9576e4d651d0.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-Instruct-SFT-DPO-1epoch_v1/ad03cae6-b126-4157-a225-9576e4d651d0.json
new file mode 100644
index 000000000..4ad70853d
--- /dev/null
+++ b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-Instruct-SFT-DPO-1epoch_v1/ad03cae6-b126-4157-a225-9576e4d651d0.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-Instruct-SFT-DPO-1epoch_v1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-0.5B-Instruct-SFT-DPO-1epoch_v1",
+    "id": "JayHyeon/Qwen2.5-0.5B-Instruct-SFT-DPO-1epoch_v1",
+    "developer": "JayHyeon",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2Model",
+      "params_billions": 0.494
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2469
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.326
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.065
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2727
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3434
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1575
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-Instruct-SFT-IRPO-1epoch_v1/0d57b65d-3dd4-4185-b8cf-531105e94b5e.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-Instruct-SFT-IRPO-1epoch_v1/0d57b65d-3dd4-4185-b8cf-531105e94b5e.json
new file mode 100644
index 000000000..b71ae80d9
--- /dev/null
+++ b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-Instruct-SFT-IRPO-1epoch_v1/0d57b65d-3dd4-4185-b8cf-531105e94b5e.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-Instruct-SFT-IRPO-1epoch_v1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-0.5B-Instruct-SFT-IRPO-1epoch_v1",
+    "id": "JayHyeon/Qwen2.5-0.5B-Instruct-SFT-IRPO-1epoch_v1",
+    "developer": "JayHyeon",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2Model",
+      "params_billions": 0.494
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2606
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3308
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0498
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2802
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3288
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1626
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-Instruct-SFT-IRPO-1epoch_v1/1ff4251b-d01a-4ced-8868-776210e1ecb6.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-Instruct-SFT-IRPO-1epoch_v1/1ff4251b-d01a-4ced-8868-776210e1ecb6.json
deleted file mode 100644
index 63c28a489..000000000
--- a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-Instruct-SFT-IRPO-1epoch_v1/1ff4251b-d01a-4ced-8868-776210e1ecb6.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-Instruct-SFT-IRPO-1epoch_v1/1762652579.6538298",
-  "retrieved_timestamp": "1762652579.6538298",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "JayHyeon/Qwen2.5-0.5B-Instruct-SFT-IRPO-1epoch_v1",
-    "developer": "JayHyeon",
-    "inference_platform": "unknown",
-    "id": "JayHyeon/Qwen2.5-0.5B-Instruct-SFT-IRPO-1epoch_v1",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2Model",
-      "params_billions": 0.494
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2605863553150086
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3308028437367363
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.04984894259818731
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2802013422818792
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3288229166666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.16256648936170212
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-Instruct-SFT-MDPO-1epoch_v1/c3c5cb61-3c4f-4796-9d3c-493618db0f91.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-Instruct-SFT-MDPO-1epoch_v1/c3c5cb61-3c4f-4796-9d3c-493618db0f91.json
deleted file mode 100644
index 935dc82d1..000000000
--- a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-Instruct-SFT-MDPO-1epoch_v1/c3c5cb61-3c4f-4796-9d3c-493618db0f91.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-Instruct-SFT-MDPO-1epoch_v1/1762652579.654063",
-  "retrieved_timestamp": "1762652579.6540642",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "JayHyeon/Qwen2.5-0.5B-Instruct-SFT-MDPO-1epoch_v1",
-    "developer": "JayHyeon",
-    "inference_platform": "unknown",
-    "id": "JayHyeon/Qwen2.5-0.5B-Instruct-SFT-MDPO-1epoch_v1",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2Model",
-      "params_billions": 0.494
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2529178136234081
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3261949089625076
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
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-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
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-        "min_score": 0,
-        "max_score": 1
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-    {
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-      "metric_config": {
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diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-Instruct-SFT-MDPO-1epoch_v1/f8882044-6e71-4788-b2ee-f51f85e67ecc.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-Instruct-SFT-MDPO-1epoch_v1/f8882044-6e71-4788-b2ee-f51f85e67ecc.json
new file mode 100644
index 000000000..f890e44af
--- /dev/null
+++ b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-Instruct-SFT-MDPO-1epoch_v1/f8882044-6e71-4788-b2ee-f51f85e67ecc.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-Instruct-SFT-MDPO-1epoch_v1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-0.5B-Instruct-SFT-MDPO-1epoch_v1",
+    "id": "JayHyeon/Qwen2.5-0.5B-Instruct-SFT-MDPO-1epoch_v1",
+    "developer": "JayHyeon",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2Model",
+      "params_billions": 0.494
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2529
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3262
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0566
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2685
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3301
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1576
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-Instruct-SFT/3c8f96c5-af91-4f41-a0b4-6e1b7d55d8ad.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-Instruct-SFT/3c8f96c5-af91-4f41-a0b4-6e1b7d55d8ad.json
new file mode 100644
index 000000000..4ed5a1209
--- /dev/null
+++ b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-Instruct-SFT/3c8f96c5-af91-4f41-a0b4-6e1b7d55d8ad.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-Instruct-SFT/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-0.5B-Instruct-SFT",
+    "id": "JayHyeon/Qwen2.5-0.5B-Instruct-SFT",
+    "developer": "JayHyeon",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 0.63
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2768
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3254
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0393
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2827
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3342
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.152
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-Instruct-SFT/48e6f9aa-5034-4653-8832-b0a16bf01079.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-Instruct-SFT/48e6f9aa-5034-4653-8832-b0a16bf01079.json
deleted file mode 100644
index edb97838f..000000000
--- a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-Instruct-SFT/48e6f9aa-5034-4653-8832-b0a16bf01079.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-Instruct-SFT/1762652579.65331",
-  "retrieved_timestamp": "1762652579.653311",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
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-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "JayHyeon/Qwen2.5-0.5B-Instruct-SFT",
-    "developer": "JayHyeon",
-    "inference_platform": "unknown",
-    "id": "JayHyeon/Qwen2.5-0.5B-Instruct-SFT",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 0.63
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-  },
-  "evaluation_results": [
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-      "evaluation_name": "IFEval",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
-        "score": 0.27677340567472086
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-    },
-    {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3253697801563151
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
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-      "score_details": {
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-    },
-    {
-      "evaluation_name": "GPQA",
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
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-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-1e-4-2ep/00efca13-0d04-4700-a90f-bd621a971555.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-1e-4-2ep/00efca13-0d04-4700-a90f-bd621a971555.json
deleted file mode 100644
index 6547dea6a..000000000
--- a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-1e-4-2ep/00efca13-0d04-4700-a90f-bd621a971555.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-SFT-1e-4-2ep/1762652579.654743",
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-  "source_data": [
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "JayHyeon/Qwen2.5-0.5B-SFT-1e-4-2ep",
-    "developer": "JayHyeon",
-    "inference_platform": "unknown",
-    "id": "JayHyeon/Qwen2.5-0.5B-SFT-1e-4-2ep",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 0.63
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
-        "score": 0.2140498322229462
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3172227797719337
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.24664429530201343
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.34727083333333336
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.15367353723404256
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-1e-4-2ep/e26743b9-4caf-46f8-bd5a-7e4445c850b1.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-1e-4-2ep/e26743b9-4caf-46f8-bd5a-7e4445c850b1.json
new file mode 100644
index 000000000..a9d17a4e6
--- /dev/null
+++ b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-1e-4-2ep/e26743b9-4caf-46f8-bd5a-7e4445c850b1.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-SFT-1e-4-2ep/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-0.5B-SFT-1e-4-2ep",
+    "id": "JayHyeon/Qwen2.5-0.5B-SFT-1e-4-2ep",
+    "developer": "JayHyeon",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 0.63
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.214
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+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3172
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+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0264
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+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2466
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3473
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1537
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-1e-4-3ep/f357f4eb-1837-4ab2-ad4b-9cc8a9054517.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-1e-4-3ep/f357f4eb-1837-4ab2-ad4b-9cc8a9054517.json
deleted file mode 100644
index 15e42cb05..000000000
--- a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-1e-4-3ep/f357f4eb-1837-4ab2-ad4b-9cc8a9054517.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-SFT-1e-4-3ep/1762652579.6549618",
-  "retrieved_timestamp": "1762652579.654963",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "JayHyeon/Qwen2.5-0.5B-SFT-1e-4-3ep",
-    "developer": "JayHyeon",
-    "inference_platform": "unknown",
-    "id": "JayHyeon/Qwen2.5-0.5B-SFT-1e-4-3ep",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 0.63
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.22573992561957826
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3064261556890236
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.026435045317220542
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2483221476510067
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.36606249999999996
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.15317486702127658
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-1e-4-3ep/febd4016-3a30-4b26-93e5-f7b556781b9b.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-1e-4-3ep/febd4016-3a30-4b26-93e5-f7b556781b9b.json
new file mode 100644
index 000000000..24b629e3d
--- /dev/null
+++ b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-1e-4-3ep/febd4016-3a30-4b26-93e5-f7b556781b9b.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-SFT-1e-4-3ep/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-0.5B-SFT-1e-4-3ep",
+    "id": "JayHyeon/Qwen2.5-0.5B-SFT-1e-4-3ep",
+    "developer": "JayHyeon",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 0.63
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2257
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3064
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0264
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2483
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3661
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1532
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-1e-4-5ep/206c756e-1edc-491f-9f86-7e00c7ab7085.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-1e-4-5ep/206c756e-1edc-491f-9f86-7e00c7ab7085.json
deleted file mode 100644
index 806a27ea5..000000000
--- a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-1e-4-5ep/206c756e-1edc-491f-9f86-7e00c7ab7085.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-SFT-1e-4-5ep/1762652579.655172",
-  "retrieved_timestamp": "1762652579.655173",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "JayHyeon/Qwen2.5-0.5B-SFT-1e-4-5ep",
-    "developer": "JayHyeon",
-    "inference_platform": "unknown",
-    "id": "JayHyeon/Qwen2.5-0.5B-SFT-1e-4-5ep",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 0.63
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.19868726091215752
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.31044747322019184
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.019637462235649546
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2533557046979866
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3406666666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.15575132978723405
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-1e-4-5ep/ae82125e-94ac-48ca-8240-807e4b7ef9a0.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-1e-4-5ep/ae82125e-94ac-48ca-8240-807e4b7ef9a0.json
new file mode 100644
index 000000000..3a2866ea3
--- /dev/null
+++ b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-1e-4-5ep/ae82125e-94ac-48ca-8240-807e4b7ef9a0.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-SFT-1e-4-5ep/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-0.5B-SFT-1e-4-5ep",
+    "id": "JayHyeon/Qwen2.5-0.5B-SFT-1e-4-5ep",
+    "developer": "JayHyeon",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 0.63
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1987
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3104
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0196
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2534
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3407
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1558
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-1e-4/5321fa0b-b010-4e1d-9f20-a97b56f4f937.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-1e-4/5321fa0b-b010-4e1d-9f20-a97b56f4f937.json
new file mode 100644
index 000000000..844a39283
--- /dev/null
+++ b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-1e-4/5321fa0b-b010-4e1d-9f20-a97b56f4f937.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-SFT-1e-4/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-0.5B-SFT-1e-4",
+    "id": "JayHyeon/Qwen2.5-0.5B-SFT-1e-4",
+    "developer": "JayHyeon",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 0.63
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.202
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3017
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0189
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2508
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3446
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1619
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-1e-4/7d591ed9-5802-43a3-bb38-ec45b69adb08.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-1e-4/7d591ed9-5802-43a3-bb38-ec45b69adb08.json
deleted file mode 100644
index 32479964c..000000000
--- a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-1e-4/7d591ed9-5802-43a3-bb38-ec45b69adb08.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-SFT-1e-4/1762652579.654527",
-  "retrieved_timestamp": "1762652579.654527",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "JayHyeon/Qwen2.5-0.5B-SFT-1e-4",
-    "developer": "JayHyeon",
-    "inference_platform": "unknown",
-    "id": "JayHyeon/Qwen2.5-0.5B-SFT-1e-4",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 0.63
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2019596891802639
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3017092819749249
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.0188821752265861
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.25083892617449666
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3446354166666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.16190159574468085
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-1e-5-2ep/d25a4602-ea50-4a53-952c-112ba250123b.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-1e-5-2ep/d25a4602-ea50-4a53-952c-112ba250123b.json
new file mode 100644
index 000000000..4799c0aa3
--- /dev/null
+++ b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-1e-5-2ep/d25a4602-ea50-4a53-952c-112ba250123b.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-SFT-1e-5-2ep/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-0.5B-SFT-1e-5-2ep",
+    "id": "JayHyeon/Qwen2.5-0.5B-SFT-1e-5-2ep",
+    "developer": "JayHyeon",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 0.63
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1971
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3225
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0529
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2693
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3368
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1651
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-1e-5-2ep/fde79985-6832-4315-8650-fdcf9ad68087.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-1e-5-2ep/fde79985-6832-4315-8650-fdcf9ad68087.json
deleted file mode 100644
index 29bc0faca..000000000
--- a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-1e-5-2ep/fde79985-6832-4315-8650-fdcf9ad68087.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-SFT-1e-5-2ep/1762652579.655605",
-  "retrieved_timestamp": "1762652579.655606",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "JayHyeon/Qwen2.5-0.5B-SFT-1e-5-2ep",
-    "developer": "JayHyeon",
-    "inference_platform": "unknown",
-    "id": "JayHyeon/Qwen2.5-0.5B-SFT-1e-5-2ep",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 0.63
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.19706379074189817
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3224699194774388
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.052870090634441085
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.26929530201342283
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3367604166666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1651429521276596
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-1e-5-3ep/232e3fc4-5cd2-4515-9e15-acd7d56bc34d.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-1e-5-3ep/232e3fc4-5cd2-4515-9e15-acd7d56bc34d.json
new file mode 100644
index 000000000..3305c120d
--- /dev/null
+++ b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-1e-5-3ep/232e3fc4-5cd2-4515-9e15-acd7d56bc34d.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-SFT-1e-5-3ep/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-0.5B-SFT-1e-5-3ep",
+    "id": "JayHyeon/Qwen2.5-0.5B-SFT-1e-5-3ep",
+    "developer": "JayHyeon",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 0.63
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2241
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3247
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0536
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2701
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3353
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1689
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-1e-5-3ep/aef8fd41-ac51-4fb5-b8ae-78ebca9b4215.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-1e-5-3ep/aef8fd41-ac51-4fb5-b8ae-78ebca9b4215.json
deleted file mode 100644
index 090d07e57..000000000
--- a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-1e-5-3ep/aef8fd41-ac51-4fb5-b8ae-78ebca9b4215.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-SFT-1e-5-3ep/1762652579.655815",
-  "retrieved_timestamp": "1762652579.6558158",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "JayHyeon/Qwen2.5-0.5B-SFT-1e-5-3ep",
-    "developer": "JayHyeon",
-    "inference_platform": "unknown",
-    "id": "JayHyeon/Qwen2.5-0.5B-SFT-1e-5-3ep",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 0.63
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2241164554493189
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.32468117082421427
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
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diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-1e-5-5ep/975f54fe-a581-4ce1-b0c1-7becb7605f09.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-1e-5-5ep/975f54fe-a581-4ce1-b0c1-7becb7605f09.json
new file mode 100644
index 000000000..925baa726
--- /dev/null
+++ b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-1e-5-5ep/975f54fe-a581-4ce1-b0c1-7becb7605f09.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-SFT-1e-5-5ep/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-0.5B-SFT-1e-5-5ep",
+    "id": "JayHyeon/Qwen2.5-0.5B-SFT-1e-5-5ep",
+    "developer": "JayHyeon",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 0.63
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2292
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3259
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0521
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2794
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3235
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1688
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-1e-5-5ep/b5cdb9c2-d81a-4e0b-817a-3e101d122e7a.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-1e-5-5ep/b5cdb9c2-d81a-4e0b-817a-3e101d122e7a.json
deleted file mode 100644
index e5fdc6a26..000000000
--- a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-1e-5-5ep/b5cdb9c2-d81a-4e0b-817a-3e101d122e7a.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-SFT-1e-5-5ep/1762652579.656047",
-  "retrieved_timestamp": "1762652579.656048",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "JayHyeon/Qwen2.5-0.5B-SFT-1e-5-5ep",
-    "developer": "JayHyeon",
-    "inference_platform": "unknown",
-    "id": "JayHyeon/Qwen2.5-0.5B-SFT-1e-5-5ep",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 0.63
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.22918744486850445
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.05211480362537765
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.27936241610738255
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3235208333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.16879986702127658
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-1e-5/3eac4497-66af-4fc6-bf89-459631e4a418.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-1e-5/3eac4497-66af-4fc6-bf89-459631e4a418.json
deleted file mode 100644
index d8c67b732..000000000
--- a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-1e-5/3eac4497-66af-4fc6-bf89-459631e4a418.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-SFT-1e-5/1762652579.6553931",
-  "retrieved_timestamp": "1762652579.655394",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "JayHyeon/Qwen2.5-0.5B-SFT-1e-5",
-    "developer": "JayHyeon",
-    "inference_platform": "unknown",
-    "id": "JayHyeon/Qwen2.5-0.5B-SFT-1e-5",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 0.63
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1985875255433361
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-    },
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-      "evaluation_name": "BBH",
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3139860294769257
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2684563758389262
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.34603125
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1697972074468085
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-1e-5/92ae4461-48bc-47fe-a3ad-ea4c3452d395.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-1e-5/92ae4461-48bc-47fe-a3ad-ea4c3452d395.json
new file mode 100644
index 000000000..36e1434b4
--- /dev/null
+++ b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-1e-5/92ae4461-48bc-47fe-a3ad-ea4c3452d395.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-SFT-1e-5/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-0.5B-SFT-1e-5",
+    "id": "JayHyeon/Qwen2.5-0.5B-SFT-1e-5",
+    "developer": "JayHyeon",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 0.63
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1986
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.314
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0378
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2685
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.346
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1698
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-4-2ep/638e1cc0-9baf-4555-a278-4b21c46af86f.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-4-2ep/638e1cc0-9baf-4555-a278-4b21c46af86f.json
new file mode 100644
index 000000000..b6a076686
--- /dev/null
+++ b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-4-2ep/638e1cc0-9baf-4555-a278-4b21c46af86f.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-SFT-2e-4-2ep/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-0.5B-SFT-2e-4-2ep",
+    "id": "JayHyeon/Qwen2.5-0.5B-SFT-2e-4-2ep",
+    "developer": "JayHyeon",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 0.63
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1831
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2984
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0249
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2424
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3568
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1484
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-4-2ep/9d58433f-a74c-4345-bd47-a8f2c4e2361e.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-4-2ep/9d58433f-a74c-4345-bd47-a8f2c4e2361e.json
deleted file mode 100644
index e77a176e1..000000000
--- a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-4-2ep/9d58433f-a74c-4345-bd47-a8f2c4e2361e.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-SFT-2e-4-2ep/1762652579.656457",
-  "retrieved_timestamp": "1762652579.656457",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "JayHyeon/Qwen2.5-0.5B-SFT-2e-4-2ep",
-    "developer": "JayHyeon",
-    "inference_platform": "unknown",
-    "id": "JayHyeon/Qwen2.5-0.5B-SFT-2e-4-2ep",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 0.63
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.18307535117931534
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.29839616748934167
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.024924471299093656
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2424496644295302
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3567604166666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1484375
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-4-3ep/cef4161a-4e1c-4a92-bca8-b07f957a13b1.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-4-3ep/cef4161a-4e1c-4a92-bca8-b07f957a13b1.json
new file mode 100644
index 000000000..ae6218e48
--- /dev/null
+++ b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-4-3ep/cef4161a-4e1c-4a92-bca8-b07f957a13b1.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-SFT-2e-4-3ep/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-0.5B-SFT-2e-4-3ep",
+    "id": "JayHyeon/Qwen2.5-0.5B-SFT-2e-4-3ep",
+    "developer": "JayHyeon",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 0.63
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.199
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.311
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0151
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2609
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3449
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1416
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-4-3ep/e8109e5c-6276-4935-bfa0-fc969f118d3b.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-4-3ep/e8109e5c-6276-4935-bfa0-fc969f118d3b.json
deleted file mode 100644
index 601fc4bac..000000000
--- a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-4-3ep/e8109e5c-6276-4935-bfa0-fc969f118d3b.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-SFT-2e-4-3ep/1762652579.656671",
-  "retrieved_timestamp": "1762652579.656672",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "JayHyeon/Qwen2.5-0.5B-SFT-2e-4-3ep",
-    "developer": "JayHyeon",
-    "inference_platform": "unknown",
-    "id": "JayHyeon/Qwen2.5-0.5B-SFT-2e-4-3ep",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 0.63
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1989620872617987
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3109875129533253
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.015105740181268883
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2609060402684564
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3449479166666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.14162234042553193
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-4-5ep/715b556b-2bc0-4864-b4b1-b7413a5d45bc.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-4-5ep/715b556b-2bc0-4864-b4b1-b7413a5d45bc.json
new file mode 100644
index 000000000..e5bad0533
--- /dev/null
+++ b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-4-5ep/715b556b-2bc0-4864-b4b1-b7413a5d45bc.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-SFT-2e-4-5ep/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-0.5B-SFT-2e-4-5ep",
+    "id": "JayHyeon/Qwen2.5-0.5B-SFT-2e-4-5ep",
+    "developer": "JayHyeon",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 0.63
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1897
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2936
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0181
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2693
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3874
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1336
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-4-5ep/9d6b36c5-c0ec-4ab1-a12b-47efc34ebfc8.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-4-5ep/9d6b36c5-c0ec-4ab1-a12b-47efc34ebfc8.json
deleted file mode 100644
index 47e8f5d6a..000000000
--- a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-4-5ep/9d6b36c5-c0ec-4ab1-a12b-47efc34ebfc8.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-SFT-2e-4-5ep/1762652579.656877",
-  "retrieved_timestamp": "1762652579.656878",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "JayHyeon/Qwen2.5-0.5B-SFT-2e-4-5ep",
-    "developer": "JayHyeon",
-    "inference_platform": "unknown",
-    "id": "JayHyeon/Qwen2.5-0.5B-SFT-2e-4-5ep",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 0.63
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.18971994308434953
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2936418449815176
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.01812688821752266
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.26929530201342283
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.38739583333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.13364361702127658
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-4/5e307ea5-70da-476a-8d9e-1d488385565f.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-4/5e307ea5-70da-476a-8d9e-1d488385565f.json
deleted file mode 100644
index 0ec9bf3ad..000000000
--- a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-4/5e307ea5-70da-476a-8d9e-1d488385565f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-SFT-2e-4/1762652579.656255",
-  "retrieved_timestamp": "1762652579.656256",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "JayHyeon/Qwen2.5-0.5B-SFT-2e-4",
-    "developer": "JayHyeon",
-    "inference_platform": "unknown",
-    "id": "JayHyeon/Qwen2.5-0.5B-SFT-2e-4",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 0.63
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2034335562972912
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2935549587263229
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.02416918429003021
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2575503355704698
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3434270833333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.14128989361702127
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-4/7552ad5c-5d1f-478b-a931-036083b2954e.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-4/7552ad5c-5d1f-478b-a931-036083b2954e.json
new file mode 100644
index 000000000..43c9ef63c
--- /dev/null
+++ b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-4/7552ad5c-5d1f-478b-a931-036083b2954e.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-SFT-2e-4/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-0.5B-SFT-2e-4",
+    "id": "JayHyeon/Qwen2.5-0.5B-SFT-2e-4",
+    "developer": "JayHyeon",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 0.63
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2034
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2936
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0242
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2576
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3434
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1413
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPOP_3e-7-3ep_0alp_5lam/343b7db1-8f96-4998-a6fb-5eb0aa1b6b21.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPOP_3e-7-3ep_0alp_5lam/343b7db1-8f96-4998-a6fb-5eb0aa1b6b21.json
deleted file mode 100644
index 1fc7263b5..000000000
--- a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPOP_3e-7-3ep_0alp_5lam/343b7db1-8f96-4998-a6fb-5eb0aa1b6b21.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-SFT-2e-5-2ep-DPOP_3e-7-3ep_0alp_5lam/1762652579.6580968",
-  "retrieved_timestamp": "1762652579.658098",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPOP_3e-7-3ep_0alp_5lam",
-    "developer": "JayHyeon",
-    "inference_platform": "unknown",
-    "id": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPOP_3e-7-3ep_0alp_5lam",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 0.63
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.24105262924595627
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.31671815484837784
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.03474320241691843
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2709731543624161
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.330125
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.15625
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPOP_3e-7-3ep_0alp_5lam/7bb3ae9f-9bb3-4bf2-9d97-d7f4f30697ac.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPOP_3e-7-3ep_0alp_5lam/7bb3ae9f-9bb3-4bf2-9d97-d7f4f30697ac.json
new file mode 100644
index 000000000..a44e27ca9
--- /dev/null
+++ b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPOP_3e-7-3ep_0alp_5lam/7bb3ae9f-9bb3-4bf2-9d97-d7f4f30697ac.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-SFT-2e-5-2ep-DPOP_3e-7-3ep_0alp_5lam/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-0.5B-SFT-2e-5-2ep-DPOP_3e-7-3ep_0alp_5lam",
+    "id": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPOP_3e-7-3ep_0alp_5lam",
+    "developer": "JayHyeon",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 0.63
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2411
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3167
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0347
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.271
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3301
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1562
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPOP_5e-6-1ep_0alp_5lam/821d67e5-da8d-4383-8825-3bfa72a91fc9.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPOP_5e-6-1ep_0alp_5lam/821d67e5-da8d-4383-8825-3bfa72a91fc9.json
new file mode 100644
index 000000000..def874bd2
--- /dev/null
+++ b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPOP_5e-6-1ep_0alp_5lam/821d67e5-da8d-4383-8825-3bfa72a91fc9.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-SFT-2e-5-2ep-DPOP_5e-6-1ep_0alp_5lam/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-0.5B-SFT-2e-5-2ep-DPOP_5e-6-1ep_0alp_5lam",
+    "id": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPOP_5e-6-1ep_0alp_5lam",
+    "developer": "JayHyeon",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2Model",
+      "params_billions": 0.494
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2369
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.326
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0453
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.276
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3355
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.157
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPOP_5e-6-1ep_0alp_5lam/bfa11262-d7bd-44b3-8b8b-81013f1e0c24.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPOP_5e-6-1ep_0alp_5lam/bfa11262-d7bd-44b3-8b8b-81013f1e0c24.json
deleted file mode 100644
index 3cc76e849..000000000
--- a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPOP_5e-6-1ep_0alp_5lam/bfa11262-d7bd-44b3-8b8b-81013f1e0c24.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-SFT-2e-5-2ep-DPOP_5e-6-1ep_0alp_5lam/1762652579.658342",
-  "retrieved_timestamp": "1762652579.6583428",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPOP_5e-6-1ep_0alp_5lam",
-    "developer": "JayHyeon",
-    "inference_platform": "unknown",
-    "id": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPOP_5e-6-1ep_0alp_5lam",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2Model",
-      "params_billions": 0.494
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.23685598656010498
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3260038632940968
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.045317220543806644
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.276006711409396
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3355208333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.15699800531914893
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPOP_5e-6-2ep_0alp_5lam/902849f8-dc58-4e01-ba30-ff95412272d3.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPOP_5e-6-2ep_0alp_5lam/902849f8-dc58-4e01-ba30-ff95412272d3.json
deleted file mode 100644
index d6e0d49b4..000000000
--- a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPOP_5e-6-2ep_0alp_5lam/902849f8-dc58-4e01-ba30-ff95412272d3.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-SFT-2e-5-2ep-DPOP_5e-6-2ep_0alp_5lam/1762652579.6585789",
-  "retrieved_timestamp": "1762652579.65858",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPOP_5e-6-2ep_0alp_5lam",
-    "developer": "JayHyeon",
-    "inference_platform": "unknown",
-    "id": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPOP_5e-6-2ep_0alp_5lam",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2Model",
-      "params_billions": 0.494
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.22623971063444992
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3261540051256346
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.03474320241691843
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.27936241610738255
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3408229166666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.15408909574468085
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPOP_5e-6-2ep_0alp_5lam/c5bddcba-4a40-4fbb-93e8-aebd06a70a66.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPOP_5e-6-2ep_0alp_5lam/c5bddcba-4a40-4fbb-93e8-aebd06a70a66.json
new file mode 100644
index 000000000..48999ddc5
--- /dev/null
+++ b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPOP_5e-6-2ep_0alp_5lam/c5bddcba-4a40-4fbb-93e8-aebd06a70a66.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-SFT-2e-5-2ep-DPOP_5e-6-2ep_0alp_5lam/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-0.5B-SFT-2e-5-2ep-DPOP_5e-6-2ep_0alp_5lam",
+    "id": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPOP_5e-6-2ep_0alp_5lam",
+    "developer": "JayHyeon",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2Model",
+      "params_billions": 0.494
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2262
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3262
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0347
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2794
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3408
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1541
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPOP_5e-6-3ep_0alp_5lam/4c5cace1-70ce-48f3-aad1-d141924c24de.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPOP_5e-6-3ep_0alp_5lam/4c5cace1-70ce-48f3-aad1-d141924c24de.json
deleted file mode 100644
index 1907f43d4..000000000
--- a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPOP_5e-6-3ep_0alp_5lam/4c5cace1-70ce-48f3-aad1-d141924c24de.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-SFT-2e-5-2ep-DPOP_5e-6-3ep_0alp_5lam/1762652579.6588218",
-  "retrieved_timestamp": "1762652579.658823",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPOP_5e-6-3ep_0alp_5lam",
-    "developer": "JayHyeon",
-    "inference_platform": "unknown",
-    "id": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPOP_5e-6-3ep_0alp_5lam",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 0.63
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.25079455843827714
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3199331515135054
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.04078549848942598
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.276006711409396
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.33545833333333336
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.15550199468085107
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPOP_5e-6-3ep_0alp_5lam/dc35237c-606d-4609-927a-566bea767312.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPOP_5e-6-3ep_0alp_5lam/dc35237c-606d-4609-927a-566bea767312.json
new file mode 100644
index 000000000..4dd0076c1
--- /dev/null
+++ b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPOP_5e-6-3ep_0alp_5lam/dc35237c-606d-4609-927a-566bea767312.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-SFT-2e-5-2ep-DPOP_5e-6-3ep_0alp_5lam/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-0.5B-SFT-2e-5-2ep-DPOP_5e-6-3ep_0alp_5lam",
+    "id": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPOP_5e-6-3ep_0alp_5lam",
+    "developer": "JayHyeon",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 0.63
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2508
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3199
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0408
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.276
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3355
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1555
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPOP_5e-7-1ep_0alp_5lam/3924d1af-e167-4186-a34b-d9b4b8c26d59.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPOP_5e-7-1ep_0alp_5lam/3924d1af-e167-4186-a34b-d9b4b8c26d59.json
new file mode 100644
index 000000000..a8a95addb
--- /dev/null
+++ b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPOP_5e-7-1ep_0alp_5lam/3924d1af-e167-4186-a34b-d9b4b8c26d59.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-SFT-2e-5-2ep-DPOP_5e-7-1ep_0alp_5lam/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-0.5B-SFT-2e-5-2ep-DPOP_5e-7-1ep_0alp_5lam",
+    "id": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPOP_5e-7-1ep_0alp_5lam",
+    "developer": "JayHyeon",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2Model",
+      "params_billions": 0.494
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.239
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3182
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.04
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2676
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3328
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.156
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPOP_5e-7-1ep_0alp_5lam/e42051f2-90f2-4fbe-a4bd-623482abf10f.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPOP_5e-7-1ep_0alp_5lam/e42051f2-90f2-4fbe-a4bd-623482abf10f.json
deleted file mode 100644
index 7f7eb7dfd..000000000
--- a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPOP_5e-7-1ep_0alp_5lam/e42051f2-90f2-4fbe-a4bd-623482abf10f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-SFT-2e-5-2ep-DPOP_5e-7-1ep_0alp_5lam/1762652579.6591082",
-  "retrieved_timestamp": "1762652579.659109",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPOP_5e-7-1ep_0alp_5lam",
-    "developer": "JayHyeon",
-    "inference_platform": "unknown",
-    "id": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPOP_5e-7-1ep_0alp_5lam",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2Model",
-      "params_billions": 0.494
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.238979241745236
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.31816042712158116
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.04003021148036254
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2676174496644295
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.33279166666666665
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.15600066489361702
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPOP_5e-7-2ep_0alp_5lam/e70423b6-5a7d-4745-b5a3-968f363a3b7a.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPOP_5e-7-2ep_0alp_5lam/e70423b6-5a7d-4745-b5a3-968f363a3b7a.json
deleted file mode 100644
index 49484ee2f..000000000
--- a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPOP_5e-7-2ep_0alp_5lam/e70423b6-5a7d-4745-b5a3-968f363a3b7a.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-SFT-2e-5-2ep-DPOP_5e-7-2ep_0alp_5lam/1762652579.6593359",
-  "retrieved_timestamp": "1762652579.659337",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPOP_5e-7-2ep_0alp_5lam",
-    "developer": "JayHyeon",
-    "inference_platform": "unknown",
-    "id": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPOP_5e-7-2ep_0alp_5lam",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2Model",
-      "params_billions": 0.494
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2423015376977531
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3154080373582542
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.03474320241691843
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2676174496644295
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.33279166666666665
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.15475398936170212
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPOP_5e-7-2ep_0alp_5lam/f733c4cc-90fc-4b31-bed3-c57dba6d4b6a.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPOP_5e-7-2ep_0alp_5lam/f733c4cc-90fc-4b31-bed3-c57dba6d4b6a.json
new file mode 100644
index 000000000..8e804555f
--- /dev/null
+++ b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPOP_5e-7-2ep_0alp_5lam/f733c4cc-90fc-4b31-bed3-c57dba6d4b6a.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-SFT-2e-5-2ep-DPOP_5e-7-2ep_0alp_5lam/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-0.5B-SFT-2e-5-2ep-DPOP_5e-7-2ep_0alp_5lam",
+    "id": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPOP_5e-7-2ep_0alp_5lam",
+    "developer": "JayHyeon",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2Model",
+      "params_billions": 0.494
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2423
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3154
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0347
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2676
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3328
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1548
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPOP_5e-7-3ep_0alp_5lam/08f933a0-b096-4271-890e-0df7e20d1d20.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPOP_5e-7-3ep_0alp_5lam/08f933a0-b096-4271-890e-0df7e20d1d20.json
new file mode 100644
index 000000000..254d8727c
--- /dev/null
+++ b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPOP_5e-7-3ep_0alp_5lam/08f933a0-b096-4271-890e-0df7e20d1d20.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-SFT-2e-5-2ep-DPOP_5e-7-3ep_0alp_5lam/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-0.5B-SFT-2e-5-2ep-DPOP_5e-7-3ep_0alp_5lam",
+    "id": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPOP_5e-7-3ep_0alp_5lam",
+    "developer": "JayHyeon",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 0.63
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2493
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.319
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0438
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2651
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3341
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1561
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPOP_5e-7-3ep_0alp_5lam/2a7b8fa7-5c16-414b-968e-ec7b06e8143c.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPOP_5e-7-3ep_0alp_5lam/2a7b8fa7-5c16-414b-968e-ec7b06e8143c.json
deleted file mode 100644
index abf56d19c..000000000
--- a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPOP_5e-7-3ep_0alp_5lam/2a7b8fa7-5c16-414b-968e-ec7b06e8143c.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-SFT-2e-5-2ep-DPOP_5e-7-3ep_0alp_5lam/1762652579.6595562",
-  "retrieved_timestamp": "1762652579.659557",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPOP_5e-7-3ep_0alp_5lam",
-    "developer": "JayHyeon",
-    "inference_platform": "unknown",
-    "id": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPOP_5e-7-3ep_0alp_5lam",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 0.63
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.24932069132124984
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3189717077702392
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.04380664652567976
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2651006711409396
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.334125
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.15608377659574468
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_1e-6-1ep_0alp_0lam/8434e448-ed77-45f2-9c31-39128912f842.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_1e-6-1ep_0alp_0lam/8434e448-ed77-45f2-9c31-39128912f842.json
new file mode 100644
index 000000000..2af5272ab
--- /dev/null
+++ b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_1e-6-1ep_0alp_0lam/8434e448-ed77-45f2-9c31-39128912f842.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_1e-6-1ep_0alp_0lam/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_1e-6-1ep_0alp_0lam",
+    "id": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_1e-6-1ep_0alp_0lam",
+    "developer": "JayHyeon",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2Model",
+      "params_billions": 0.494
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2542
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3167
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0408
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2718
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3289
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.158
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_1e-6-1ep_0alp_0lam/dfa1b391-4b18-4ac0-a397-a983070647a7.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_1e-6-1ep_0alp_0lam/dfa1b391-4b18-4ac0-a397-a983070647a7.json
deleted file mode 100644
index e2637bf90..000000000
--- a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_1e-6-1ep_0alp_0lam/dfa1b391-4b18-4ac0-a397-a983070647a7.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_1e-6-1ep_0alp_0lam/1762652579.660001",
-  "retrieved_timestamp": "1762652579.660005",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_1e-6-1ep_0alp_0lam",
-    "developer": "JayHyeon",
-    "inference_platform": "unknown",
-    "id": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_1e-6-1ep_0alp_0lam",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2Model",
-      "params_billions": 0.494
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2541667220752049
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.31671883869615397
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.04078549848942598
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.27181208053691275
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.32885416666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.15799534574468085
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_1e-6-2ep_0alp_0lam/96d31674-0011-4621-9131-31b5f6ede223.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_1e-6-2ep_0alp_0lam/96d31674-0011-4621-9131-31b5f6ede223.json
deleted file mode 100644
index 0eaa14394..000000000
--- a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_1e-6-2ep_0alp_0lam/96d31674-0011-4621-9131-31b5f6ede223.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_1e-6-2ep_0alp_0lam/1762652579.660342",
-  "retrieved_timestamp": "1762652579.660342",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_1e-6-2ep_0alp_0lam",
-    "developer": "JayHyeon",
-    "inference_platform": "unknown",
-    "id": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_1e-6-2ep_0alp_0lam",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2Model",
-      "params_billions": 0.494
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.24507418095098782
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3159533058861391
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.27432885906040266
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3301875
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.15608377659574468
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_1e-6-2ep_0alp_0lam/d801037b-1eb0-4058-9096-429e5237e015.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_1e-6-2ep_0alp_0lam/d801037b-1eb0-4058-9096-429e5237e015.json
new file mode 100644
index 000000000..b5090ee5f
--- /dev/null
+++ b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_1e-6-2ep_0alp_0lam/d801037b-1eb0-4058-9096-429e5237e015.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_1e-6-2ep_0alp_0lam/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_1e-6-2ep_0alp_0lam",
+    "id": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_1e-6-2ep_0alp_0lam",
+    "developer": "JayHyeon",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2Model",
+      "params_billions": 0.494
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2451
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.316
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0408
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2743
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3302
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1561
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_1e-6-3ep_0alp_0lam/d8663966-a5f5-40e6-a327-1255f7c3395f.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_1e-6-3ep_0alp_0lam/d8663966-a5f5-40e6-a327-1255f7c3395f.json
deleted file mode 100644
index 416025aef..000000000
--- a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_1e-6-3ep_0alp_0lam/d8663966-a5f5-40e6-a327-1255f7c3395f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_1e-6-3ep_0alp_0lam/1762652579.6605709",
-  "retrieved_timestamp": "1762652579.6605718",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_1e-6-3ep_0alp_0lam",
-    "developer": "JayHyeon",
-    "inference_platform": "unknown",
-    "id": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_1e-6-3ep_0alp_0lam",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 0.63
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.25574032456105356
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.31419826948787827
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.04003021148036254
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.27432885906040266
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3315208333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1574966755319149
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_1e-6-3ep_0alp_0lam/e0c46f18-598e-402f-8955-68e71fab67cd.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_1e-6-3ep_0alp_0lam/e0c46f18-598e-402f-8955-68e71fab67cd.json
new file mode 100644
index 000000000..eb8631855
--- /dev/null
+++ b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_1e-6-3ep_0alp_0lam/e0c46f18-598e-402f-8955-68e71fab67cd.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_1e-6-3ep_0alp_0lam/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_1e-6-3ep_0alp_0lam",
+    "id": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_1e-6-3ep_0alp_0lam",
+    "developer": "JayHyeon",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 0.63
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2557
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3142
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.04
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2743
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3315
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1575
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_1e-7-2ep_0alp_0lam/4b987cb5-cf7c-4866-8cf0-9926f78c2de9.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_1e-7-2ep_0alp_0lam/4b987cb5-cf7c-4866-8cf0-9926f78c2de9.json
new file mode 100644
index 000000000..a7ae82558
--- /dev/null
+++ b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_1e-7-2ep_0alp_0lam/4b987cb5-cf7c-4866-8cf0-9926f78c2de9.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_1e-7-2ep_0alp_0lam/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_1e-7-2ep_0alp_0lam",
+    "id": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_1e-7-2ep_0alp_0lam",
+    "developer": "JayHyeon",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2Model",
+      "params_billions": 0.494
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2605
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3167
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0363
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2701
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3341
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1577
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_1e-7-2ep_0alp_0lam/a1fadf30-c543-4b73-bf28-0cb9cb2fc91f.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_1e-7-2ep_0alp_0lam/a1fadf30-c543-4b73-bf28-0cb9cb2fc91f.json
deleted file mode 100644
index c7fdd7a02..000000000
--- a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_1e-7-2ep_0alp_0lam/a1fadf30-c543-4b73-bf28-0cb9cb2fc91f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_1e-7-2ep_0alp_0lam/1762652579.660821",
-  "retrieved_timestamp": "1762652579.660822",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_1e-7-2ep_0alp_0lam",
-    "developer": "JayHyeon",
-    "inference_platform": "unknown",
-    "id": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_1e-7-2ep_0alp_0lam",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2Model",
-      "params_billions": 0.494
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.26053648763059795
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3166968072745491
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.03625377643504532
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2701342281879195
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.334125
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.15766289893617022
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_1e-7-3ep_0alp_0lam/57b69bd0-73f6-42e0-bd9e-984bb1e6a553.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_1e-7-3ep_0alp_0lam/57b69bd0-73f6-42e0-bd9e-984bb1e6a553.json
deleted file mode 100644
index 969f44cb8..000000000
--- a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_1e-7-3ep_0alp_0lam/57b69bd0-73f6-42e0-bd9e-984bb1e6a553.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_1e-7-3ep_0alp_0lam/1762652579.661046",
-  "retrieved_timestamp": "1762652579.661047",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_1e-7-3ep_0alp_0lam",
-    "developer": "JayHyeon",
-    "inference_platform": "unknown",
-    "id": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_1e-7-3ep_0alp_0lam",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 0.63
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.25781371206177384
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.31732037273750646
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.035498489425981876
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2634228187919463
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.32879166666666665
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1583277925531915
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_1e-7-3ep_0alp_0lam/ec658058-1075-4918-9dc9-fc79d0dcf897.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_1e-7-3ep_0alp_0lam/ec658058-1075-4918-9dc9-fc79d0dcf897.json
new file mode 100644
index 000000000..090ea8c8f
--- /dev/null
+++ b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_1e-7-3ep_0alp_0lam/ec658058-1075-4918-9dc9-fc79d0dcf897.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_1e-7-3ep_0alp_0lam/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_1e-7-3ep_0alp_0lam",
+    "id": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_1e-7-3ep_0alp_0lam",
+    "developer": "JayHyeon",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 0.63
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2578
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3173
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0355
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2634
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3288
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1583
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_2e-6-1ep_0alp_0lam/93597efa-6da8-4074-8049-6ec66f499cbf.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_2e-6-1ep_0alp_0lam/93597efa-6da8-4074-8049-6ec66f499cbf.json
deleted file mode 100644
index 50046b7de..000000000
--- a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_2e-6-1ep_0alp_0lam/93597efa-6da8-4074-8049-6ec66f499cbf.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_2e-6-1ep_0alp_0lam/1762652579.661258",
-  "retrieved_timestamp": "1762652579.661259",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_2e-6-1ep_0alp_0lam",
-    "developer": "JayHyeon",
-    "inference_platform": "unknown",
-    "id": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_2e-6-1ep_0alp_0lam",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2Model",
-      "params_billions": 0.494
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.23353369060758786
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3197619098572027
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.03851963746223565
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2751677852348994
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.32755208333333335
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1580784574468085
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_2e-6-1ep_0alp_0lam/b68baa86-3e1a-4888-98ba-2ecede79b4a7.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_2e-6-1ep_0alp_0lam/b68baa86-3e1a-4888-98ba-2ecede79b4a7.json
new file mode 100644
index 000000000..0b37ef072
--- /dev/null
+++ b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_2e-6-1ep_0alp_0lam/b68baa86-3e1a-4888-98ba-2ecede79b4a7.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_2e-6-1ep_0alp_0lam/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_2e-6-1ep_0alp_0lam",
+    "id": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_2e-6-1ep_0alp_0lam",
+    "developer": "JayHyeon",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2Model",
+      "params_billions": 0.494
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2335
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3198
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0385
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2752
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3276
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1581
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_2e-6-2ep_0alp_0lam/00a5dc4a-6ffb-4e6a-9547-416ff29e0ded.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_2e-6-2ep_0alp_0lam/00a5dc4a-6ffb-4e6a-9547-416ff29e0ded.json
deleted file mode 100644
index 540185e08..000000000
--- a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_2e-6-2ep_0alp_0lam/00a5dc4a-6ffb-4e6a-9547-416ff29e0ded.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_2e-6-2ep_0alp_0lam/1762652579.6614761",
-  "retrieved_timestamp": "1762652579.6614761",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
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-  "model_info": {
-    "name": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_2e-6-2ep_0alp_0lam",
-    "developer": "JayHyeon",
-    "inference_platform": "unknown",
-    "id": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_2e-6-2ep_0alp_0lam",
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-      "params_billions": 0.494
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-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-        "lower_is_better": false,
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-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.32621875
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-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.15375664893617022
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_2e-6-2ep_0alp_0lam/0b11c8ab-2cfa-425d-9d81-d999f94401db.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_2e-6-2ep_0alp_0lam/0b11c8ab-2cfa-425d-9d81-d999f94401db.json
new file mode 100644
index 000000000..8cc0efa5c
--- /dev/null
+++ b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_2e-6-2ep_0alp_0lam/0b11c8ab-2cfa-425d-9d81-d999f94401db.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_2e-6-2ep_0alp_0lam/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_2e-6-2ep_0alp_0lam",
+    "id": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_2e-6-2ep_0alp_0lam",
+    "developer": "JayHyeon",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2Model",
+      "params_billions": 0.494
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2472
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3226
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0506
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.276
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3262
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1538
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_2e-6-3ep_0alp_0lam/13cf92c4-fbeb-445a-85d6-bf71ce2e68c9.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_2e-6-3ep_0alp_0lam/13cf92c4-fbeb-445a-85d6-bf71ce2e68c9.json
deleted file mode 100644
index f41caa9b0..000000000
--- a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_2e-6-3ep_0alp_0lam/13cf92c4-fbeb-445a-85d6-bf71ce2e68c9.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_2e-6-3ep_0alp_0lam/1762652579.661691",
-  "retrieved_timestamp": "1762652579.661692",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_2e-6-3ep_0alp_0lam",
-    "developer": "JayHyeon",
-    "inference_platform": "unknown",
-    "id": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_2e-6-3ep_0alp_0lam",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 0.63
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2474223948013493
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.32291208173140107
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-    },
-    {
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-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2726510067114094
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.32748958333333333
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.15392287234042554
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_2e-6-3ep_0alp_0lam/a3e48db8-3679-4f19-853d-82a73ef49400.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_2e-6-3ep_0alp_0lam/a3e48db8-3679-4f19-853d-82a73ef49400.json
new file mode 100644
index 000000000..9df394a48
--- /dev/null
+++ b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_2e-6-3ep_0alp_0lam/a3e48db8-3679-4f19-853d-82a73ef49400.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_2e-6-3ep_0alp_0lam/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_2e-6-3ep_0alp_0lam",
+    "id": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_2e-6-3ep_0alp_0lam",
+    "developer": "JayHyeon",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 0.63
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2474
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3229
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0415
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2727
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3275
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1539
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_3e-6-1ep_0alp_0lam/14a173b6-4d56-4d22-a888-57ea46d72e67.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_3e-6-1ep_0alp_0lam/14a173b6-4d56-4d22-a888-57ea46d72e67.json
deleted file mode 100644
index 8a9a726a0..000000000
--- a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_3e-6-1ep_0alp_0lam/14a173b6-4d56-4d22-a888-57ea46d72e67.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_3e-6-1ep_0alp_0lam/1762652579.6619039",
-  "retrieved_timestamp": "1762652579.6619048",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_3e-6-1ep_0alp_0lam",
-    "developer": "JayHyeon",
-    "inference_platform": "unknown",
-    "id": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_3e-6-1ep_0alp_0lam",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2Model",
-      "params_billions": 0.494
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.24027801788144343
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.32453683161596314
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.04305135951661632
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.28187919463087246
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.32621875
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1573304521276596
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_3e-6-1ep_0alp_0lam/7dbf35b2-80c1-4181-80f9-850ea51cead2.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_3e-6-1ep_0alp_0lam/7dbf35b2-80c1-4181-80f9-850ea51cead2.json
new file mode 100644
index 000000000..839bdc602
--- /dev/null
+++ b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_3e-6-1ep_0alp_0lam/7dbf35b2-80c1-4181-80f9-850ea51cead2.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_3e-6-1ep_0alp_0lam/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_3e-6-1ep_0alp_0lam",
+    "id": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_3e-6-1ep_0alp_0lam",
+    "developer": "JayHyeon",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2Model",
+      "params_billions": 0.494
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2403
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3245
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0431
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2819
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3262
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1573
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_3e-6-2ep_0alp_0lam/231f47db-1662-4313-9ff4-f32883f5615c.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_3e-6-2ep_0alp_0lam/231f47db-1662-4313-9ff4-f32883f5615c.json
new file mode 100644
index 000000000..33c170571
--- /dev/null
+++ b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_3e-6-2ep_0alp_0lam/231f47db-1662-4313-9ff4-f32883f5615c.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_3e-6-2ep_0alp_0lam/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_3e-6-2ep_0alp_0lam",
+    "id": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_3e-6-2ep_0alp_0lam",
+    "developer": "JayHyeon",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2Model",
+      "params_billions": 0.494
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2368
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3224
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0461
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2743
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3355
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1516
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_3e-6-2ep_0alp_0lam/f46cc7cb-27e8-4723-9ecf-cbeef9789b25.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_3e-6-2ep_0alp_0lam/f46cc7cb-27e8-4723-9ecf-cbeef9789b25.json
deleted file mode 100644
index ba646184f..000000000
--- a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_3e-6-2ep_0alp_0lam/f46cc7cb-27e8-4723-9ecf-cbeef9789b25.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_3e-6-2ep_0alp_0lam/1762652579.662116",
-  "retrieved_timestamp": "1762652579.662117",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_3e-6-2ep_0alp_0lam",
-    "developer": "JayHyeon",
-    "inference_platform": "unknown",
-    "id": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_3e-6-2ep_0alp_0lam",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2Model",
-      "params_billions": 0.494
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.23680611887569425
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3224293761524927
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.04607250755287009
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.27432885906040266
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.33548958333333334
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.15159574468085107
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_3e-6-3ep_0alp_0lam/c79df898-14c6-4f00-9f65-0d01cd34ed61.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_3e-6-3ep_0alp_0lam/c79df898-14c6-4f00-9f65-0d01cd34ed61.json
new file mode 100644
index 000000000..f02cc4dee
--- /dev/null
+++ b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_3e-6-3ep_0alp_0lam/c79df898-14c6-4f00-9f65-0d01cd34ed61.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_3e-6-3ep_0alp_0lam/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_3e-6-3ep_0alp_0lam",
+    "id": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_3e-6-3ep_0alp_0lam",
+    "developer": "JayHyeon",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 0.63
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2372
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3248
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0476
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2701
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3394
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.155
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_3e-6-3ep_0alp_0lam/de200bef-71a2-4efb-bc34-02f69385b636.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_3e-6-3ep_0alp_0lam/de200bef-71a2-4efb-bc34-02f69385b636.json
deleted file mode 100644
index 9b38546da..000000000
--- a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_3e-6-3ep_0alp_0lam/de200bef-71a2-4efb-bc34-02f69385b636.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_3e-6-3ep_0alp_0lam/1762652579.662327",
-  "retrieved_timestamp": "1762652579.662327",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_3e-6-3ep_0alp_0lam",
-    "developer": "JayHyeon",
-    "inference_platform": "unknown",
-    "id": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_3e-6-3ep_0alp_0lam",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 0.63
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.23718068059415687
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.32477052921998556
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.04758308157099698
-      }
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-        "lower_is_better": false,
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-        "min_score": 0,
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
-        "score": 0.1550033244680851
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-  ]
-}
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_3e-7-3ep_0alp_0lam/2c52917f-c396-410d-bc78-c93c433797fc.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_3e-7-3ep_0alp_0lam/2c52917f-c396-410d-bc78-c93c433797fc.json
new file mode 100644
index 000000000..1ff95edd2
--- /dev/null
+++ b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_3e-7-3ep_0alp_0lam/2c52917f-c396-410d-bc78-c93c433797fc.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_3e-7-3ep_0alp_0lam/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_3e-7-3ep_0alp_0lam",
+    "id": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_3e-7-3ep_0alp_0lam",
+    "developer": "JayHyeon",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 0.63
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2499
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3181
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0415
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2651
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3288
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1574
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_3e-7-3ep_0alp_0lam/7ed1ff6a-fe4d-4f78-bbc6-c5e64a7fbfc1.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_3e-7-3ep_0alp_0lam/7ed1ff6a-fe4d-4f78-bbc6-c5e64a7fbfc1.json
deleted file mode 100644
index 7141e0100..000000000
--- a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_3e-7-3ep_0alp_0lam/7ed1ff6a-fe4d-4f78-bbc6-c5e64a7fbfc1.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_3e-7-3ep_0alp_0lam/1762652579.6625469",
-  "retrieved_timestamp": "1762652579.662548",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_3e-7-3ep_0alp_0lam",
-    "developer": "JayHyeon",
-    "inference_platform": "unknown",
-    "id": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_3e-7-3ep_0alp_0lam",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 0.63
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.24992021170494289
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.31806007750183346
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
-        "score": 0.04154078549848943
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-    },
-    {
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-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2651006711409396
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3288229166666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.15741356382978725
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_5e-6-1ep_0alp_0lam/0f1d2925-4e1c-495b-94be-f3515fbd53d7.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_5e-6-1ep_0alp_0lam/0f1d2925-4e1c-495b-94be-f3515fbd53d7.json
new file mode 100644
index 000000000..69688309d
--- /dev/null
+++ b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_5e-6-1ep_0alp_0lam/0f1d2925-4e1c-495b-94be-f3515fbd53d7.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_5e-6-1ep_0alp_0lam/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_5e-6-1ep_0alp_0lam",
+    "id": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_5e-6-1ep_0alp_0lam",
+    "developer": "JayHyeon",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2Model",
+      "params_billions": 0.494
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2381
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3242
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0498
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2743
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3328
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1572
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_5e-6-1ep_0alp_0lam/82d38084-32b1-4224-810c-b66dd337b3fe.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_5e-6-1ep_0alp_0lam/82d38084-32b1-4224-810c-b66dd337b3fe.json
deleted file mode 100644
index a12b3bcc1..000000000
--- a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_5e-6-1ep_0alp_0lam/82d38084-32b1-4224-810c-b66dd337b3fe.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_5e-6-1ep_0alp_0lam/1762652579.662755",
-  "retrieved_timestamp": "1762652579.662755",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_5e-6-1ep_0alp_0lam",
-    "developer": "JayHyeon",
-    "inference_platform": "unknown",
-    "id": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_5e-6-1ep_0alp_0lam",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2Model",
-      "params_billions": 0.494
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.23810489501190177
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.32421844512358233
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.04984894259818731
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.27432885906040266
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3328229166666667
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.15724734042553193
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_5e-6-2ep_0alp_0lam/5cbb1972-9895-4689-9f6f-7e0037829a78.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_5e-6-2ep_0alp_0lam/5cbb1972-9895-4689-9f6f-7e0037829a78.json
new file mode 100644
index 000000000..98d643888
--- /dev/null
+++ b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_5e-6-2ep_0alp_0lam/5cbb1972-9895-4689-9f6f-7e0037829a78.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_5e-6-2ep_0alp_0lam/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_5e-6-2ep_0alp_0lam",
+    "id": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_5e-6-2ep_0alp_0lam",
+    "developer": "JayHyeon",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2Model",
+      "params_billions": 0.494
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2421
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3225
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.04
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2802
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3408
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1496
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_5e-6-2ep_0alp_0lam/972e0d76-63bb-431b-9d9b-68dd6b738447.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_5e-6-2ep_0alp_0lam/972e0d76-63bb-431b-9d9b-68dd6b738447.json
deleted file mode 100644
index 7f7cd2fd9..000000000
--- a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_5e-6-2ep_0alp_0lam/972e0d76-63bb-431b-9d9b-68dd6b738447.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_5e-6-2ep_0alp_0lam/1762652579.662969",
-  "retrieved_timestamp": "1762652579.662969",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_5e-6-2ep_0alp_0lam",
-    "developer": "JayHyeon",
-    "inference_platform": "unknown",
-    "id": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_5e-6-2ep_0alp_0lam",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2Model",
-      "params_billions": 0.494
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2420765790325226
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3224798177796032
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.04003021148036254
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2802013422818792
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3408229166666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.14960106382978725
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_5e-6-3ep_0alp_0lam/6bc42e37-1f31-47cb-97e4-9d0b28b53691.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_5e-6-3ep_0alp_0lam/6bc42e37-1f31-47cb-97e4-9d0b28b53691.json
new file mode 100644
index 000000000..146ac953b
--- /dev/null
+++ b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_5e-6-3ep_0alp_0lam/6bc42e37-1f31-47cb-97e4-9d0b28b53691.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_5e-6-3ep_0alp_0lam/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_5e-6-3ep_0alp_0lam",
+    "id": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_5e-6-3ep_0alp_0lam",
+    "developer": "JayHyeon",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 0.63
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2381
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3265
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0446
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.276
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3408
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1499
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_5e-6-3ep_0alp_0lam/7337bc31-54b6-43b9-bb26-63f2273ffc7e.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_5e-6-3ep_0alp_0lam/7337bc31-54b6-43b9-bb26-63f2273ffc7e.json
deleted file mode 100644
index e55a0ccf9..000000000
--- a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_5e-6-3ep_0alp_0lam/7337bc31-54b6-43b9-bb26-63f2273ffc7e.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_5e-6-3ep_0alp_0lam/1762652579.663178",
-  "retrieved_timestamp": "1762652579.663179",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_5e-6-3ep_0alp_0lam",
-    "developer": "JayHyeon",
-    "inference_platform": "unknown",
-    "id": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_5e-6-3ep_0alp_0lam",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 0.63
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.23805502732749106
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.32652003776870003
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.0445619335347432
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.276006711409396
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.34079166666666666
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.14985039893617022
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_5e-7_1ep_0alp_0lam/a1573b95-59e6-4ae0-bc12-6ef6fee90b76.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_5e-7_1ep_0alp_0lam/a1573b95-59e6-4ae0-bc12-6ef6fee90b76.json
new file mode 100644
index 000000000..23710b611
--- /dev/null
+++ b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_5e-7_1ep_0alp_0lam/a1573b95-59e6-4ae0-bc12-6ef6fee90b76.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_5e-7_1ep_0alp_0lam/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_5e-7_1ep_0alp_0lam",
+    "id": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_5e-7_1ep_0alp_0lam",
+    "developer": "JayHyeon",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2Model",
+      "params_billions": 0.494
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2526
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3177
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0438
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2735
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3342
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1572
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_5e-7_1ep_0alp_0lam/c2e14e90-6c18-4a9f-9d68-a9d98960dd32.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_5e-7_1ep_0alp_0lam/c2e14e90-6c18-4a9f-9d68-a9d98960dd32.json
deleted file mode 100644
index 636fa8a42..000000000
--- a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_5e-7_1ep_0alp_0lam/c2e14e90-6c18-4a9f-9d68-a9d98960dd32.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_5e-7_1ep_0alp_0lam/1762652579.663386",
-  "retrieved_timestamp": "1762652579.663386",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_5e-7_1ep_0alp_0lam",
-    "developer": "JayHyeon",
-    "inference_platform": "unknown",
-    "id": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_5e-7_1ep_0alp_0lam",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2Model",
-      "params_billions": 0.494
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.25264298727376694
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3176911636441555
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.04380664652567976
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.27348993288590606
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.33415625
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.15724734042553193
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_5e-7_2ep_0alp_0lam/78c61b39-3c76-4af9-8d5e-fcd67d6c8779.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_5e-7_2ep_0alp_0lam/78c61b39-3c76-4af9-8d5e-fcd67d6c8779.json
new file mode 100644
index 000000000..f02becf07
--- /dev/null
+++ b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_5e-7_2ep_0alp_0lam/78c61b39-3c76-4af9-8d5e-fcd67d6c8779.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_5e-7_2ep_0alp_0lam/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_5e-7_2ep_0alp_0lam",
+    "id": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_5e-7_2ep_0alp_0lam",
+    "developer": "JayHyeon",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2Model",
+      "params_billions": 0.494
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2457
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.316
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0446
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2727
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3302
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1572
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_5e-7_2ep_0alp_0lam/972d45c5-acd1-4e54-8310-9ff56c5fb061.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_5e-7_2ep_0alp_0lam/972d45c5-acd1-4e54-8310-9ff56c5fb061.json
deleted file mode 100644
index 07a2dbc78..000000000
--- a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_5e-7_2ep_0alp_0lam/972d45c5-acd1-4e54-8310-9ff56c5fb061.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_5e-7_2ep_0alp_0lam/1762652579.6636329",
-  "retrieved_timestamp": "1762652579.6636338",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_5e-7_2ep_0alp_0lam",
-    "developer": "JayHyeon",
-    "inference_platform": "unknown",
-    "id": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_5e-7_2ep_0alp_0lam",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2Model",
-      "params_billions": 0.494
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.24572356901909154
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.316045450978746
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.0445619335347432
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2726510067114094
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.33015625
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.15716422872340424
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_5e-7_3ep_0alp_0lam/2faf738f-64f4-4e14-8011-9e00a4e2dd6a.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_5e-7_3ep_0alp_0lam/2faf738f-64f4-4e14-8011-9e00a4e2dd6a.json
deleted file mode 100644
index b46668cc9..000000000
--- a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_5e-7_3ep_0alp_0lam/2faf738f-64f4-4e14-8011-9e00a4e2dd6a.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_5e-7_3ep_0alp_0lam/1762652579.663875",
-  "retrieved_timestamp": "1762652579.663876",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_5e-7_3ep_0alp_0lam",
-    "developer": "JayHyeon",
-    "inference_platform": "unknown",
-    "id": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_5e-7_3ep_0alp_0lam",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2Model",
-      "params_billions": 0.494
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2441998342176536
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3193544697854515
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.04833836858006042
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.27348993288590606
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.33148958333333334
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1566655585106383
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_5e-7_3ep_0alp_0lam/e4c06400-da86-4448-b421-23476f50bdb3.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_5e-7_3ep_0alp_0lam/e4c06400-da86-4448-b421-23476f50bdb3.json
new file mode 100644
index 000000000..77c01e879
--- /dev/null
+++ b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_5e-7_3ep_0alp_0lam/e4c06400-da86-4448-b421-23476f50bdb3.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_5e-7_3ep_0alp_0lam/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_5e-7_3ep_0alp_0lam",
+    "id": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_5e-7_3ep_0alp_0lam",
+    "developer": "JayHyeon",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2Model",
+      "params_billions": 0.494
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2442
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3194
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0483
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2735
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3315
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1567
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_7e-7_1ep_0alp_0lam/15b28d99-e02a-4021-899b-adef87dfe96a.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_7e-7_1ep_0alp_0lam/15b28d99-e02a-4021-899b-adef87dfe96a.json
deleted file mode 100644
index efcfa87db..000000000
--- a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_7e-7_1ep_0alp_0lam/15b28d99-e02a-4021-899b-adef87dfe96a.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_7e-7_1ep_0alp_0lam/1762652579.6641018",
-  "retrieved_timestamp": "1762652579.664103",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_7e-7_1ep_0alp_0lam",
-    "developer": "JayHyeon",
-    "inference_platform": "unknown",
-    "id": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_7e-7_1ep_0alp_0lam",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2Model",
-      "params_billions": 0.494
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.26036139664977814
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.31784656431310543
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.035498489425981876
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.276006711409396
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3288229166666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.15674867021276595
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_7e-7_1ep_0alp_0lam/48f4c2a7-e819-4789-92ea-e02c5e92d3e4.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_7e-7_1ep_0alp_0lam/48f4c2a7-e819-4789-92ea-e02c5e92d3e4.json
new file mode 100644
index 000000000..4b4f5231f
--- /dev/null
+++ b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_7e-7_1ep_0alp_0lam/48f4c2a7-e819-4789-92ea-e02c5e92d3e4.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_7e-7_1ep_0alp_0lam/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_7e-7_1ep_0alp_0lam",
+    "id": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_7e-7_1ep_0alp_0lam",
+    "developer": "JayHyeon",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2Model",
+      "params_billions": 0.494
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2604
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3178
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0355
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.276
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3288
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1567
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_7e-7_2ep_0alp_0lam/b643171e-adaa-4f6e-8860-542950810578.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_7e-7_2ep_0alp_0lam/b643171e-adaa-4f6e-8860-542950810578.json
deleted file mode 100644
index 9b64379e3..000000000
--- a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_7e-7_2ep_0alp_0lam/b643171e-adaa-4f6e-8860-542950810578.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_7e-7_2ep_0alp_0lam/1762652579.664332",
-  "retrieved_timestamp": "1762652579.664333",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_7e-7_2ep_0alp_0lam",
-    "developer": "JayHyeon",
-    "inference_platform": "unknown",
-    "id": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_7e-7_2ep_0alp_0lam",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2Model",
-      "params_billions": 0.494
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.24899599728719796
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3172899997448431
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.03927492447129909
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2709731543624161
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3301875
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.15691489361702127
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_7e-7_2ep_0alp_0lam/cd9cbbac-f1ca-4193-88cc-e5968cc1bb62.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_7e-7_2ep_0alp_0lam/cd9cbbac-f1ca-4193-88cc-e5968cc1bb62.json
new file mode 100644
index 000000000..d5f2c4e6c
--- /dev/null
+++ b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_7e-7_2ep_0alp_0lam/cd9cbbac-f1ca-4193-88cc-e5968cc1bb62.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_7e-7_2ep_0alp_0lam/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_7e-7_2ep_0alp_0lam",
+    "id": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_7e-7_2ep_0alp_0lam",
+    "developer": "JayHyeon",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2Model",
+      "params_billions": 0.494
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.249
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3173
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0393
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.271
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3302
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1569
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_7e-7_3ep_0alp_0lam/a26204c0-90c5-44fd-8814-d69c6e4f4585.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_7e-7_3ep_0alp_0lam/a26204c0-90c5-44fd-8814-d69c6e4f4585.json
deleted file mode 100644
index 7b3ff3da1..000000000
--- a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_7e-7_3ep_0alp_0lam/a26204c0-90c5-44fd-8814-d69c6e4f4585.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_7e-7_3ep_0alp_0lam/1762652579.6645608",
-  "retrieved_timestamp": "1762652579.664562",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_7e-7_3ep_0alp_0lam",
-    "developer": "JayHyeon",
-    "inference_platform": "unknown",
-    "id": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_7e-7_3ep_0alp_0lam",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2Model",
-      "params_billions": 0.494
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.26036139664977814
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3149566664115098
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.0377643504531722
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-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.27432885906040266
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3341875
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.15658244680851063
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_7e-7_3ep_0alp_0lam/ab3685ab-1795-4a0e-8ee4-4f509616d1b8.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_7e-7_3ep_0alp_0lam/ab3685ab-1795-4a0e-8ee4-4f509616d1b8.json
new file mode 100644
index 000000000..03d43d960
--- /dev/null
+++ b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_7e-7_3ep_0alp_0lam/ab3685ab-1795-4a0e-8ee4-4f509616d1b8.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_7e-7_3ep_0alp_0lam/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_7e-7_3ep_0alp_0lam",
+    "id": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-DPO_7e-7_3ep_0alp_0lam",
+    "developer": "JayHyeon",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2Model",
+      "params_billions": 0.494
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2604
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.315
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0378
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2743
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3342
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1566
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-IRPO_1e-7-1ep_1alp_0lam/9018f443-a63f-4e07-b10b-272f66d1eb0d.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-IRPO_1e-7-1ep_1alp_0lam/9018f443-a63f-4e07-b10b-272f66d1eb0d.json
new file mode 100644
index 000000000..b053ce369
--- /dev/null
+++ b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-IRPO_1e-7-1ep_1alp_0lam/9018f443-a63f-4e07-b10b-272f66d1eb0d.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-SFT-2e-5-2ep-IRPO_1e-7-1ep_1alp_0lam/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-0.5B-SFT-2e-5-2ep-IRPO_1e-7-1ep_1alp_0lam",
+    "id": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-IRPO_1e-7-1ep_1alp_0lam",
+    "developer": "JayHyeon",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2Model",
+      "params_billions": 0.494
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.255
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3211
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0491
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2701
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3288
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1571
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-IRPO_1e-7-1ep_1alp_0lam/bc45fc30-c472-471a-b0c8-f68b9397d844.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-IRPO_1e-7-1ep_1alp_0lam/bc45fc30-c472-471a-b0c8-f68b9397d844.json
deleted file mode 100644
index 58d94a45e..000000000
--- a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-IRPO_1e-7-1ep_1alp_0lam/bc45fc30-c472-471a-b0c8-f68b9397d844.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-SFT-2e-5-2ep-IRPO_1e-7-1ep_1alp_0lam/1762652579.664829",
-  "retrieved_timestamp": "1762652579.66483",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-IRPO_1e-7-1ep_1alp_0lam",
-    "developer": "JayHyeon",
-    "inference_platform": "unknown",
-    "id": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-IRPO_1e-7-1ep_1alp_0lam",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2Model",
-      "params_billions": 0.494
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2550410688085391
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3211026993947845
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.04909365558912387
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2701342281879195
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.32876041666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.15708111702127658
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-IRPO_1e-7-2ep_1alp_0lam/548d1536-b941-43a9-a60b-ae5448b70933.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-IRPO_1e-7-2ep_1alp_0lam/548d1536-b941-43a9-a60b-ae5448b70933.json
new file mode 100644
index 000000000..85329973f
--- /dev/null
+++ b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-IRPO_1e-7-2ep_1alp_0lam/548d1536-b941-43a9-a60b-ae5448b70933.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-SFT-2e-5-2ep-IRPO_1e-7-2ep_1alp_0lam/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-0.5B-SFT-2e-5-2ep-IRPO_1e-7-2ep_1alp_0lam",
+    "id": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-IRPO_1e-7-2ep_1alp_0lam",
+    "developer": "JayHyeon",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2Model",
+      "params_billions": 0.494
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2478
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3198
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0423
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2668
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3315
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1587
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-IRPO_1e-7-2ep_1alp_0lam/dff1ec0f-99a6-493d-9f2c-a6a523455b7e.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-IRPO_1e-7-2ep_1alp_0lam/dff1ec0f-99a6-493d-9f2c-a6a523455b7e.json
deleted file mode 100644
index 06d592d1d..000000000
--- a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-IRPO_1e-7-2ep_1alp_0lam/dff1ec0f-99a6-493d-9f2c-a6a523455b7e.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-SFT-2e-5-2ep-IRPO_1e-7-2ep_1alp_0lam/1762652579.665046",
-  "retrieved_timestamp": "1762652579.665047",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
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-  "model_info": {
-    "name": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-IRPO_1e-7-2ep_1alp_0lam",
-    "developer": "JayHyeon",
-    "inference_platform": "unknown",
-    "id": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-IRPO_1e-7-2ep_1alp_0lam",
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-      "evaluation_name": "IFEval",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-      "score_details": {
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-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
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-        "max_score": 1
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-        "lower_is_better": false,
-        "score_type": "continuous",
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-      "score_details": {
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-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-        "score": 0.15866023936170212
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-}
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-IRPO_1e-7-3ep_1alp_0lam/99853109-17d9-46fa-a502-e4c977c1fb8f.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-IRPO_1e-7-3ep_1alp_0lam/99853109-17d9-46fa-a502-e4c977c1fb8f.json
new file mode 100644
index 000000000..76daaf914
--- /dev/null
+++ b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-IRPO_1e-7-3ep_1alp_0lam/99853109-17d9-46fa-a502-e4c977c1fb8f.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-SFT-2e-5-2ep-IRPO_1e-7-3ep_1alp_0lam/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-0.5B-SFT-2e-5-2ep-IRPO_1e-7-3ep_1alp_0lam",
+    "id": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-IRPO_1e-7-3ep_1alp_0lam",
+    "developer": "JayHyeon",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 0.63
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2475
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3225
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.04
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.271
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3301
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1556
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-IRPO_1e-7-3ep_1alp_0lam/a6385d82-407e-44b2-9148-9cbf8f353557.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-IRPO_1e-7-3ep_1alp_0lam/a6385d82-407e-44b2-9148-9cbf8f353557.json
deleted file mode 100644
index ac256ac27..000000000
--- a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-IRPO_1e-7-3ep_1alp_0lam/a6385d82-407e-44b2-9148-9cbf8f353557.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-SFT-2e-5-2ep-IRPO_1e-7-3ep_1alp_0lam/1762652579.6652648",
-  "retrieved_timestamp": "1762652579.665266",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-IRPO_1e-7-3ep_1alp_0lam",
-    "developer": "JayHyeon",
-    "inference_platform": "unknown",
-    "id": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-IRPO_1e-7-3ep_1alp_0lam",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 0.63
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.24747226248576
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.32246983072126806
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.04003021148036254
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2709731543624161
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.330125
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.15558510638297873
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-IRPO_3e-7-3ep_1alp_0lam/17fb5411-3dc6-44b7-971b-8a080ed93de0.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-IRPO_3e-7-3ep_1alp_0lam/17fb5411-3dc6-44b7-971b-8a080ed93de0.json
deleted file mode 100644
index 62be69b4f..000000000
--- a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-IRPO_3e-7-3ep_1alp_0lam/17fb5411-3dc6-44b7-971b-8a080ed93de0.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-SFT-2e-5-2ep-IRPO_3e-7-3ep_1alp_0lam/1762652579.665471",
-  "retrieved_timestamp": "1762652579.665472",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-IRPO_3e-7-3ep_1alp_0lam",
-    "developer": "JayHyeon",
-    "inference_platform": "unknown",
-    "id": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-IRPO_3e-7-3ep_1alp_0lam",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 0.63
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2590127528291599
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3185132309797721
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.03625377643504532
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2726510067114094
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3275208333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.15857712765957446
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-IRPO_3e-7-3ep_1alp_0lam/e171a0a0-f46d-404f-84e8-539155284e17.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-IRPO_3e-7-3ep_1alp_0lam/e171a0a0-f46d-404f-84e8-539155284e17.json
new file mode 100644
index 000000000..b9590f6bc
--- /dev/null
+++ b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-IRPO_3e-7-3ep_1alp_0lam/e171a0a0-f46d-404f-84e8-539155284e17.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-SFT-2e-5-2ep-IRPO_3e-7-3ep_1alp_0lam/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-0.5B-SFT-2e-5-2ep-IRPO_3e-7-3ep_1alp_0lam",
+    "id": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-IRPO_3e-7-3ep_1alp_0lam",
+    "developer": "JayHyeon",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 0.63
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.259
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3185
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0363
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2727
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3275
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1586
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-IRPO_5e-6-1ep_1alp_0lam/670b89a5-2a83-480e-a33b-6903609a10dc.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-IRPO_5e-6-1ep_1alp_0lam/670b89a5-2a83-480e-a33b-6903609a10dc.json
deleted file mode 100644
index 6a2de2cfc..000000000
--- a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-IRPO_5e-6-1ep_1alp_0lam/670b89a5-2a83-480e-a33b-6903609a10dc.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-SFT-2e-5-2ep-IRPO_5e-6-1ep_1alp_0lam/1762652579.665683",
-  "retrieved_timestamp": "1762652579.665684",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-IRPO_5e-6-1ep_1alp_0lam",
-    "developer": "JayHyeon",
-    "inference_platform": "unknown",
-    "id": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-IRPO_5e-6-1ep_1alp_0lam",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2Model",
-      "params_billions": 0.494
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.23233464984020177
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3179474145066817
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.045317220543806644
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2827181208053691
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.32625
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.15475398936170212
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-IRPO_5e-6-1ep_1alp_0lam/eadd93e5-5770-4d4a-a1b2-6e732a82ce34.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-IRPO_5e-6-1ep_1alp_0lam/eadd93e5-5770-4d4a-a1b2-6e732a82ce34.json
new file mode 100644
index 000000000..70f5c52d6
--- /dev/null
+++ b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-IRPO_5e-6-1ep_1alp_0lam/eadd93e5-5770-4d4a-a1b2-6e732a82ce34.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-SFT-2e-5-2ep-IRPO_5e-6-1ep_1alp_0lam/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-0.5B-SFT-2e-5-2ep-IRPO_5e-6-1ep_1alp_0lam",
+    "id": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-IRPO_5e-6-1ep_1alp_0lam",
+    "developer": "JayHyeon",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2Model",
+      "params_billions": 0.494
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2323
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3179
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0453
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2827
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3262
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1548
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-IRPO_5e-6-2ep_1alp_0lam/151cb8c4-0a7d-4886-80ea-560902e1f932.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-IRPO_5e-6-2ep_1alp_0lam/151cb8c4-0a7d-4886-80ea-560902e1f932.json
new file mode 100644
index 000000000..6d9e81842
--- /dev/null
+++ b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-IRPO_5e-6-2ep_1alp_0lam/151cb8c4-0a7d-4886-80ea-560902e1f932.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-SFT-2e-5-2ep-IRPO_5e-6-2ep_1alp_0lam/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-0.5B-SFT-2e-5-2ep-IRPO_5e-6-2ep_1alp_0lam",
+    "id": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-IRPO_5e-6-2ep_1alp_0lam",
+    "developer": "JayHyeon",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2Model",
+      "params_billions": 0.494
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2315
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.326
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0415
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2701
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3383
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1521
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-IRPO_5e-6-2ep_1alp_0lam/e660922f-847b-4993-91a4-b96809ff1e85.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-IRPO_5e-6-2ep_1alp_0lam/e660922f-847b-4993-91a4-b96809ff1e85.json
deleted file mode 100644
index ba56ec10d..000000000
--- a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-IRPO_5e-6-2ep_1alp_0lam/e660922f-847b-4993-91a4-b96809ff1e85.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-SFT-2e-5-2ep-IRPO_5e-6-2ep_1alp_0lam/1762652579.665889",
-  "retrieved_timestamp": "1762652579.66589",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-IRPO_5e-6-2ep_1alp_0lam",
-    "developer": "JayHyeon",
-    "inference_platform": "unknown",
-    "id": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-IRPO_5e-6-2ep_1alp_0lam",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2Model",
-      "params_billions": 0.494
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.23151017079127825
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3259705145690442
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.04154078549848943
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2701342281879195
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3383125
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.15209441489361702
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-IRPO_5e-6-3ep_1alp_0lam/1acb97c4-a9d2-4ec8-9486-77eb6857646c.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-IRPO_5e-6-3ep_1alp_0lam/1acb97c4-a9d2-4ec8-9486-77eb6857646c.json
new file mode 100644
index 000000000..95db25ea7
--- /dev/null
+++ b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-IRPO_5e-6-3ep_1alp_0lam/1acb97c4-a9d2-4ec8-9486-77eb6857646c.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-SFT-2e-5-2ep-IRPO_5e-6-3ep_1alp_0lam/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-0.5B-SFT-2e-5-2ep-IRPO_5e-6-3ep_1alp_0lam",
+    "id": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-IRPO_5e-6-3ep_1alp_0lam",
+    "developer": "JayHyeon",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 0.63
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2298
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.332
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0431
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2659
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3329
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1567
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-IRPO_5e-6-3ep_1alp_0lam/41d18fa1-d19e-47cf-8fec-b04725ff097f.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-IRPO_5e-6-3ep_1alp_0lam/41d18fa1-d19e-47cf-8fec-b04725ff097f.json
deleted file mode 100644
index 2699b5ad6..000000000
--- a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-IRPO_5e-6-3ep_1alp_0lam/41d18fa1-d19e-47cf-8fec-b04725ff097f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-SFT-2e-5-2ep-IRPO_5e-6-3ep_1alp_0lam/1762652579.666097",
-  "retrieved_timestamp": "1762652579.6660979",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-IRPO_5e-6-3ep_1alp_0lam",
-    "developer": "JayHyeon",
-    "inference_platform": "unknown",
-    "id": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-IRPO_5e-6-3ep_1alp_0lam",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 0.63
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2298368329366082
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.33204616486918276
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.04305135951661632
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.26593959731543626
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.33288541666666666
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.15674867021276595
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-IRPO_5e-7-1ep_1alp_0lam/122a997d-f452-4511-96f3-f31ecb5d8d7b.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-IRPO_5e-7-1ep_1alp_0lam/122a997d-f452-4511-96f3-f31ecb5d8d7b.json
deleted file mode 100644
index 147f05fc4..000000000
--- a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-IRPO_5e-7-1ep_1alp_0lam/122a997d-f452-4511-96f3-f31ecb5d8d7b.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-SFT-2e-5-2ep-IRPO_5e-7-1ep_1alp_0lam/1762652579.666312",
-  "retrieved_timestamp": "1762652579.666313",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-IRPO_5e-7-1ep_1alp_0lam",
-    "developer": "JayHyeon",
-    "inference_platform": "unknown",
-    "id": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-IRPO_5e-7-1ep_1alp_0lam",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2Model",
-      "params_billions": 0.494
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.24687274210206694
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3178544697854515
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.04154078549848943
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.27936241610738255
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.33015625
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1574966755319149
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-IRPO_5e-7-1ep_1alp_0lam/1d803ac5-3ca6-4cb0-bcd1-779eaea1562d.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-IRPO_5e-7-1ep_1alp_0lam/1d803ac5-3ca6-4cb0-bcd1-779eaea1562d.json
new file mode 100644
index 000000000..5f441e414
--- /dev/null
+++ b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-IRPO_5e-7-1ep_1alp_0lam/1d803ac5-3ca6-4cb0-bcd1-779eaea1562d.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-SFT-2e-5-2ep-IRPO_5e-7-1ep_1alp_0lam/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-0.5B-SFT-2e-5-2ep-IRPO_5e-7-1ep_1alp_0lam",
+    "id": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-IRPO_5e-7-1ep_1alp_0lam",
+    "developer": "JayHyeon",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2Model",
+      "params_billions": 0.494
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2469
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3179
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0415
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2794
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3302
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1575
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-IRPO_5e-7-2ep_1alp_0lam/81562e50-23c5-4ef1-b98c-b40625f3b8c6.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-IRPO_5e-7-2ep_1alp_0lam/81562e50-23c5-4ef1-b98c-b40625f3b8c6.json
new file mode 100644
index 000000000..1cd8d7c85
--- /dev/null
+++ b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-IRPO_5e-7-2ep_1alp_0lam/81562e50-23c5-4ef1-b98c-b40625f3b8c6.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-SFT-2e-5-2ep-IRPO_5e-7-2ep_1alp_0lam/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-0.5B-SFT-2e-5-2ep-IRPO_5e-7-2ep_1alp_0lam",
+    "id": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-IRPO_5e-7-2ep_1alp_0lam",
+    "developer": "JayHyeon",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2Model",
+      "params_billions": 0.494
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.252
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3168
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.037
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2752
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3328
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1576
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-IRPO_5e-7-2ep_1alp_0lam/c0d7514b-6809-49d7-9193-38e9c9ad03be.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-IRPO_5e-7-2ep_1alp_0lam/c0d7514b-6809-49d7-9193-38e9c9ad03be.json
deleted file mode 100644
index db59c93bb..000000000
--- a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-IRPO_5e-7-2ep_1alp_0lam/c0d7514b-6809-49d7-9193-38e9c9ad03be.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-SFT-2e-5-2ep-IRPO_5e-7-2ep_1alp_0lam/1762652579.666527",
-  "retrieved_timestamp": "1762652579.666527",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-IRPO_5e-7-2ep_1alp_0lam",
-    "developer": "JayHyeon",
-    "inference_platform": "unknown",
-    "id": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-IRPO_5e-7-2ep_1alp_0lam",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2Model",
-      "params_billions": 0.494
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
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-      "evaluation_name": "BBH",
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-        "lower_is_better": false,
-        "score_type": "continuous",
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-        "max_score": 1
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-      "evaluation_name": "MATH Level 5",
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-}
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-IRPO_5e-7-3ep_1alp_0lam/923f6446-f9fb-47ae-b585-ac131d75c107.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-IRPO_5e-7-3ep_1alp_0lam/923f6446-f9fb-47ae-b585-ac131d75c107.json
deleted file mode 100644
index a7f8bcab3..000000000
--- a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-IRPO_5e-7-3ep_1alp_0lam/923f6446-f9fb-47ae-b585-ac131d75c107.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-SFT-2e-5-2ep-IRPO_5e-7-3ep_1alp_0lam/1762652579.6667368",
-  "retrieved_timestamp": "1762652579.666738",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-IRPO_5e-7-3ep_1alp_0lam",
-    "developer": "JayHyeon",
-    "inference_platform": "unknown",
-    "id": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-IRPO_5e-7-3ep_1alp_0lam",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 0.63
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2665815591519391
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3190675981811982
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.03474320241691843
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.27181208053691275
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.32885416666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1566655585106383
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-IRPO_5e-7-3ep_1alp_0lam/95fa292a-ee64-4844-9646-ce3cc7f730d2.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-IRPO_5e-7-3ep_1alp_0lam/95fa292a-ee64-4844-9646-ce3cc7f730d2.json
new file mode 100644
index 000000000..361a9000e
--- /dev/null
+++ b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-IRPO_5e-7-3ep_1alp_0lam/95fa292a-ee64-4844-9646-ce3cc7f730d2.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-SFT-2e-5-2ep-IRPO_5e-7-3ep_1alp_0lam/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-0.5B-SFT-2e-5-2ep-IRPO_5e-7-3ep_1alp_0lam",
+    "id": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-IRPO_5e-7-3ep_1alp_0lam",
+    "developer": "JayHyeon",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 0.63
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2666
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3191
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0347
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2718
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3289
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1567
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_0.5_1e-7-1ep_0alp_0lam/4d14c584-b5a1-41cd-9605-78088dfebd7f.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_0.5_1e-7-1ep_0alp_0lam/4d14c584-b5a1-41cd-9605-78088dfebd7f.json
new file mode 100644
index 000000000..a144afa1e
--- /dev/null
+++ b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_0.5_1e-7-1ep_0alp_0lam/4d14c584-b5a1-41cd-9605-78088dfebd7f.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_0.5_1e-7-1ep_0alp_0lam/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_0.5_1e-7-1ep_0alp_0lam",
+    "id": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_0.5_1e-7-1ep_0alp_0lam",
+    "developer": "JayHyeon",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2Model",
+      "params_billions": 0.494
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2499
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3178
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.037
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2651
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3341
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1562
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_0.5_1e-7-1ep_0alp_0lam/da330322-f144-44bb-833a-7b92c11f3888.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_0.5_1e-7-1ep_0alp_0lam/da330322-f144-44bb-833a-7b92c11f3888.json
deleted file mode 100644
index 0264dafd4..000000000
--- a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_0.5_1e-7-1ep_0alp_0lam/da330322-f144-44bb-833a-7b92c11f3888.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_0.5_1e-7-1ep_0alp_0lam/1762652579.667231",
-  "retrieved_timestamp": "1762652579.667236",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_0.5_1e-7-1ep_0alp_0lam",
-    "developer": "JayHyeon",
-    "inference_platform": "unknown",
-    "id": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_0.5_1e-7-1ep_0alp_0lam",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2Model",
-      "params_billions": 0.494
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.24992021170494289
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.31779941873624934
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.03700906344410876
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2651006711409396
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.334125
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.15625
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_0.5_1e-7-2ep_0alp_0lam/10014f98-cae2-435b-b6e7-17064bb079a5.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_0.5_1e-7-2ep_0alp_0lam/10014f98-cae2-435b-b6e7-17064bb079a5.json
deleted file mode 100644
index 35beb5e61..000000000
--- a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_0.5_1e-7-2ep_0alp_0lam/10014f98-cae2-435b-b6e7-17064bb079a5.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_0.5_1e-7-2ep_0alp_0lam/1762652579.6676302",
-  "retrieved_timestamp": "1762652579.6676311",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
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new file mode 100644
index 000000000..fa1682646
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diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_0.5_1e-7-3ep_0alp_0lam/4b0ab369-e72f-4229-b449-3a21ee9d2c95.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_0.5_1e-7-3ep_0alp_0lam/4b0ab369-e72f-4229-b449-3a21ee9d2c95.json
new file mode 100644
index 000000000..cbb23bb4c
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_0.5_1e-7-3ep_0alp_0lam/c6d4f510-abc8-4524-99b0-e6d98c6e9aa9.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_0.5_1e-7-3ep_0alp_0lam/c6d4f510-abc8-4524-99b0-e6d98c6e9aa9.json
deleted file mode 100644
index 5fa90df9f..000000000
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diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_1e-6-3ep_0alp_0lam/478b6c1f-3329-4c9b-9d90-59b8b551c1af.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_1e-6-3ep_0alp_0lam/478b6c1f-3329-4c9b-9d90-59b8b551c1af.json
new file mode 100644
index 000000000..fc688f9c5
--- /dev/null
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@@ -0,0 +1,132 @@
+{
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+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
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+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3315
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1557
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_1e-6-3ep_0alp_0lam/b4d7f827-d1cb-46c6-9eea-248867fdc07f.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_1e-6-3ep_0alp_0lam/b4d7f827-d1cb-46c6-9eea-248867fdc07f.json
deleted file mode 100644
index 3903ad889..000000000
--- a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_1e-6-3ep_0alp_0lam/b4d7f827-d1cb-46c6-9eea-248867fdc07f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_1e-6-3ep_0alp_0lam/1762652579.6680949",
-  "retrieved_timestamp": "1762652579.6680949",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_1e-6-3ep_0alp_0lam",
-    "developer": "JayHyeon",
-    "inference_platform": "unknown",
-    "id": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_1e-6-3ep_0alp_0lam",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 0.63
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2408276705807258
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.31647277641099675
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.04305135951661632
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.27348993288590606
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3315208333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1556682180851064
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_1e-6_1ep_0alp_0lam/212f8dd2-3c61-45bd-a3de-2326334feb73.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_1e-6_1ep_0alp_0lam/212f8dd2-3c61-45bd-a3de-2326334feb73.json
new file mode 100644
index 000000000..4c5ef642e
--- /dev/null
+++ b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_1e-6_1ep_0alp_0lam/212f8dd2-3c61-45bd-a3de-2326334feb73.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_1e-6_1ep_0alp_0lam/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_1e-6_1ep_0alp_0lam",
+    "id": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_1e-6_1ep_0alp_0lam",
+    "developer": "JayHyeon",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2Model",
+      "params_billions": 0.494
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2481
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3204
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0476
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.276
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3302
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1592
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_1e-6_1ep_0alp_0lam/d1d2f75d-ddd8-42cb-9de8-1f327479eb9b.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_1e-6_1ep_0alp_0lam/d1d2f75d-ddd8-42cb-9de8-1f327479eb9b.json
deleted file mode 100644
index 77e7b36e4..000000000
--- a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_1e-6_1ep_0alp_0lam/d1d2f75d-ddd8-42cb-9de8-1f327479eb9b.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_1e-6_1ep_0alp_0lam/1762652579.668304",
-  "retrieved_timestamp": "1762652579.668305",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_1e-6_1ep_0alp_0lam",
-    "developer": "JayHyeon",
-    "inference_platform": "unknown",
-    "id": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_1e-6_1ep_0alp_0lam",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2Model",
-      "params_billions": 0.494
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.24812165055386376
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3204166266783764
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.04758308157099698
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.276006711409396
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3301875
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.15915890957446807
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_1e-6_2ep_0alp_0lam/9251282e-f72f-406e-a2cf-e7063516f624.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_1e-6_2ep_0alp_0lam/9251282e-f72f-406e-a2cf-e7063516f624.json
new file mode 100644
index 000000000..98dde13cb
--- /dev/null
+++ b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_1e-6_2ep_0alp_0lam/9251282e-f72f-406e-a2cf-e7063516f624.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_1e-6_2ep_0alp_0lam/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_1e-6_2ep_0alp_0lam",
+    "id": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_1e-6_2ep_0alp_0lam",
+    "developer": "JayHyeon",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2Model",
+      "params_billions": 0.494
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2545
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3186
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0498
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2718
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3289
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1561
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_1e-6_2ep_0alp_0lam/9df1e491-fa9d-41c7-ae46-8cc70a47a60f.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_1e-6_2ep_0alp_0lam/9df1e491-fa9d-41c7-ae46-8cc70a47a60f.json
deleted file mode 100644
index 039f02a70..000000000
--- a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_1e-6_2ep_0alp_0lam/9df1e491-fa9d-41c7-ae46-8cc70a47a60f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_1e-6_2ep_0alp_0lam/1762652579.668525",
-  "retrieved_timestamp": "1762652579.6685262",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_1e-6_2ep_0alp_0lam",
-    "developer": "JayHyeon",
-    "inference_platform": "unknown",
-    "id": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_1e-6_2ep_0alp_0lam",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2Model",
-      "params_billions": 0.494
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2544914161092568
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3185709286639082
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.04984894259818731
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.27181208053691275
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.32885416666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.15608377659574468
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_2e-6-3ep_0alp_0lam/6c070a2b-9f5e-46cd-b8ba-b6220509b85d.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_2e-6-3ep_0alp_0lam/6c070a2b-9f5e-46cd-b8ba-b6220509b85d.json
deleted file mode 100644
index f5dd6d4b2..000000000
--- a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_2e-6-3ep_0alp_0lam/6c070a2b-9f5e-46cd-b8ba-b6220509b85d.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_2e-6-3ep_0alp_0lam/1762652579.668755",
-  "retrieved_timestamp": "1762652579.668756",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_2e-6-3ep_0alp_0lam",
-    "developer": "JayHyeon",
-    "inference_platform": "unknown",
-    "id": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_2e-6-3ep_0alp_0lam",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 0.63
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2519935992056632
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.320368681472897
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.03927492447129909
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2726510067114094
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.32615625
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.15375664893617022
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_2e-6-3ep_0alp_0lam/91a3c739-7e16-4d21-8879-bb2fd4d4c6ad.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_2e-6-3ep_0alp_0lam/91a3c739-7e16-4d21-8879-bb2fd4d4c6ad.json
new file mode 100644
index 000000000..b16eabb54
--- /dev/null
+++ b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_2e-6-3ep_0alp_0lam/91a3c739-7e16-4d21-8879-bb2fd4d4c6ad.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_2e-6-3ep_0alp_0lam/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_2e-6-3ep_0alp_0lam",
+    "id": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_2e-6-3ep_0alp_0lam",
+    "developer": "JayHyeon",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 0.63
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.252
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3204
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0393
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2727
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3262
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1538
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_2e-6_1ep_0alp_0lam/4496da44-d4bd-40a8-8f91-56b2cb2fa766.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_2e-6_1ep_0alp_0lam/4496da44-d4bd-40a8-8f91-56b2cb2fa766.json
deleted file mode 100644
index c1c6fdb0c..000000000
--- a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_2e-6_1ep_0alp_0lam/4496da44-d4bd-40a8-8f91-56b2cb2fa766.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_2e-6_1ep_0alp_0lam/1762652579.6689868",
-  "retrieved_timestamp": "1762652579.668988",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_2e-6_1ep_0alp_0lam",
-    "developer": "JayHyeon",
-    "inference_platform": "unknown",
-    "id": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_2e-6_1ep_0alp_0lam",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2Model",
-      "params_billions": 0.494
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.23146030310686755
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.32128474090743103
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.045317220543806644
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2802013422818792
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.32221875
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.15824468085106383
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_2e-6_1ep_0alp_0lam/aaa78d8f-6050-4b5d-bb67-da6c9d1ee065.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_2e-6_1ep_0alp_0lam/aaa78d8f-6050-4b5d-bb67-da6c9d1ee065.json
new file mode 100644
index 000000000..2f7a799fb
--- /dev/null
+++ b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_2e-6_1ep_0alp_0lam/aaa78d8f-6050-4b5d-bb67-da6c9d1ee065.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_2e-6_1ep_0alp_0lam/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_2e-6_1ep_0alp_0lam",
+    "id": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_2e-6_1ep_0alp_0lam",
+    "developer": "JayHyeon",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2Model",
+      "params_billions": 0.494
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2315
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3213
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0453
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2802
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3222
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1582
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_2e-6_2ep_0alp_0lam/1f0430fe-24ff-4ef6-8577-ee5bfa74f18b.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_2e-6_2ep_0alp_0lam/1f0430fe-24ff-4ef6-8577-ee5bfa74f18b.json
new file mode 100644
index 000000000..928372798
--- /dev/null
+++ b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_2e-6_2ep_0alp_0lam/1f0430fe-24ff-4ef6-8577-ee5bfa74f18b.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_2e-6_2ep_0alp_0lam/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_2e-6_2ep_0alp_0lam",
+    "id": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_2e-6_2ep_0alp_0lam",
+    "developer": "JayHyeon",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2Model",
+      "params_billions": 0.494
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2515
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3187
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0431
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2718
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3289
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1539
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_2e-6_2ep_0alp_0lam/69c6593c-6e84-498f-8d68-62c1809a4606.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_2e-6_2ep_0alp_0lam/69c6593c-6e84-498f-8d68-62c1809a4606.json
deleted file mode 100644
index 8215a109e..000000000
--- a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_2e-6_2ep_0alp_0lam/69c6593c-6e84-498f-8d68-62c1809a4606.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_2e-6_2ep_0alp_0lam/1762652579.669204",
-  "retrieved_timestamp": "1762652579.669204",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_2e-6_2ep_0alp_0lam",
-    "developer": "JayHyeon",
-    "inference_platform": "unknown",
-    "id": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_2e-6_2ep_0alp_0lam",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2Model",
-      "params_billions": 0.494
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.25149381419079153
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.31867127828365593
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.04305135951661632
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.27181208053691275
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.32888541666666665
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.15392287234042554
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_3e-6-1ep_0alp_0lam/b1c0f775-987a-4da5-9451-09bf295b16ba.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_3e-6-1ep_0alp_0lam/b1c0f775-987a-4da5-9451-09bf295b16ba.json
deleted file mode 100644
index 6295717d8..000000000
--- a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_3e-6-1ep_0alp_0lam/b1c0f775-987a-4da5-9451-09bf295b16ba.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_3e-6-1ep_0alp_0lam/1762652579.669419",
-  "retrieved_timestamp": "1762652579.66942",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_3e-6-1ep_0alp_0lam",
-    "developer": "JayHyeon",
-    "inference_platform": "unknown",
-    "id": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_3e-6-1ep_0alp_0lam",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2Model",
-      "params_billions": 0.494
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.24719743613611883
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3213274785812292
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.03474320241691843
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2726510067114094
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3261875
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.15882646276595744
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_3e-6-1ep_0alp_0lam/f374772b-2685-41e2-a455-9002e48e3739.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_3e-6-1ep_0alp_0lam/f374772b-2685-41e2-a455-9002e48e3739.json
new file mode 100644
index 000000000..feb9ce218
--- /dev/null
+++ b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_3e-6-1ep_0alp_0lam/f374772b-2685-41e2-a455-9002e48e3739.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_3e-6-1ep_0alp_0lam/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_3e-6-1ep_0alp_0lam",
+    "id": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_3e-6-1ep_0alp_0lam",
+    "developer": "JayHyeon",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2Model",
+      "params_billions": 0.494
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2472
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3213
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0347
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2727
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3262
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1588
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_3e-6-2ep_0alp_0lam/6db801f8-5253-47c0-b87e-6779bff42f6b.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_3e-6-2ep_0alp_0lam/6db801f8-5253-47c0-b87e-6779bff42f6b.json
new file mode 100644
index 000000000..70dc4e5f1
--- /dev/null
+++ b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_3e-6-2ep_0alp_0lam/6db801f8-5253-47c0-b87e-6779bff42f6b.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_3e-6-2ep_0alp_0lam/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_3e-6-2ep_0alp_0lam",
+    "id": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_3e-6-2ep_0alp_0lam",
+    "developer": "JayHyeon",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2Model",
+      "params_billions": 0.494
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.246
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3234
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0378
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2794
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3302
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1533
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_3e-6-2ep_0alp_0lam/c589d3d6-9d8b-45e3-a6c6-60f25d44349b.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_3e-6-2ep_0alp_0lam/c589d3d6-9d8b-45e3-a6c6-60f25d44349b.json
deleted file mode 100644
index 932339112..000000000
--- a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_3e-6-2ep_0alp_0lam/c589d3d6-9d8b-45e3-a6c6-60f25d44349b.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_3e-6-2ep_0alp_0lam/1762652579.6696231",
-  "retrieved_timestamp": "1762652579.669624",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_3e-6-2ep_0alp_0lam",
-    "developer": "JayHyeon",
-    "inference_platform": "unknown",
-    "id": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_3e-6-2ep_0alp_0lam",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2Model",
-      "params_billions": 0.494
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.24599839536873275
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.32337658694524307
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.0377643504531722
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.27936241610738255
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.33021875
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.15334109042553193
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_3e-6-3ep_0alp_0lam/0d704671-c0b6-4296-85b5-eaf972d6be6a.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_3e-6-3ep_0alp_0lam/0d704671-c0b6-4296-85b5-eaf972d6be6a.json
new file mode 100644
index 000000000..7fff16277
--- /dev/null
+++ b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_3e-6-3ep_0alp_0lam/0d704671-c0b6-4296-85b5-eaf972d6be6a.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_3e-6-3ep_0alp_0lam/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_3e-6-3ep_0alp_0lam",
+    "id": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_3e-6-3ep_0alp_0lam",
+    "developer": "JayHyeon",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 0.63
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2524
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3256
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0536
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2777
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3368
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1531
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_3e-6-3ep_0alp_0lam/1e76e5ee-1728-4756-8f13-d68ce1ca3a5e.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_3e-6-3ep_0alp_0lam/1e76e5ee-1728-4756-8f13-d68ce1ca3a5e.json
deleted file mode 100644
index 0b4880a8b..000000000
--- a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_3e-6-3ep_0alp_0lam/1e76e5ee-1728-4756-8f13-d68ce1ca3a5e.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_3e-6-3ep_0alp_0lam/1762652579.669835",
-  "retrieved_timestamp": "1762652579.669836",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_3e-6-3ep_0alp_0lam",
-    "developer": "JayHyeon",
-    "inference_platform": "unknown",
-    "id": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_3e-6-3ep_0alp_0lam",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 0.63
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.25236816092412573
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3255638228201855
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.05362537764350453
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.27768456375838924
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.33679166666666666
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.15309175531914893
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_5e-6-1ep_0alp_0lam/7e31545f-0865-4843-914b-a71f8a84314f.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_5e-6-1ep_0alp_0lam/7e31545f-0865-4843-914b-a71f8a84314f.json
new file mode 100644
index 000000000..b0805fce1
--- /dev/null
+++ b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_5e-6-1ep_0alp_0lam/7e31545f-0865-4843-914b-a71f8a84314f.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_5e-6-1ep_0alp_0lam/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_5e-6-1ep_0alp_0lam",
+    "id": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_5e-6-1ep_0alp_0lam",
+    "developer": "JayHyeon",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2Model",
+      "params_billions": 0.494
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2265
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3252
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0476
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2735
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3262
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1568
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_5e-6-1ep_0alp_0lam/a44985f9-2255-421b-93b9-fcb5761e17b8.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_5e-6-1ep_0alp_0lam/a44985f9-2255-421b-93b9-fcb5761e17b8.json
deleted file mode 100644
index 30c2f461f..000000000
--- a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_5e-6-1ep_0alp_0lam/a44985f9-2255-421b-93b9-fcb5761e17b8.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_5e-6-1ep_0alp_0lam/1762652579.670048",
-  "retrieved_timestamp": "1762652579.670049",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_5e-6-1ep_0alp_0lam",
-    "developer": "JayHyeon",
-    "inference_platform": "unknown",
-    "id": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_5e-6-1ep_0alp_0lam",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2Model",
-      "params_billions": 0.494
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2264646692996804
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3252098558034601
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.04758308157099698
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.27348993288590606
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.32615625
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1568317819148936
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_5e-6-2ep_0alp_0lam/431c7130-5a19-4a71-8a92-fea9726769ac.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_5e-6-2ep_0alp_0lam/431c7130-5a19-4a71-8a92-fea9726769ac.json
new file mode 100644
index 000000000..a3d21ddaa
--- /dev/null
+++ b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_5e-6-2ep_0alp_0lam/431c7130-5a19-4a71-8a92-fea9726769ac.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_5e-6-2ep_0alp_0lam/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_5e-6-2ep_0alp_0lam",
+    "id": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_5e-6-2ep_0alp_0lam",
+    "developer": "JayHyeon",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2Model",
+      "params_billions": 0.494
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2302
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3224
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0438
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2768
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3408
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.15
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_5e-6-2ep_0alp_0lam/ad59cc80-784d-41bf-9a3e-9d9f286667d2.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_5e-6-2ep_0alp_0lam/ad59cc80-784d-41bf-9a3e-9d9f286667d2.json
deleted file mode 100644
index a659f90df..000000000
--- a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_5e-6-2ep_0alp_0lam/ad59cc80-784d-41bf-9a3e-9d9f286667d2.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_5e-6-2ep_0alp_0lam/1762652579.6702561",
-  "retrieved_timestamp": "1762652579.6702569",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_5e-6-2ep_0alp_0lam",
-    "developer": "JayHyeon",
-    "inference_platform": "unknown",
-    "id": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_5e-6-2ep_0alp_0lam",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2Model",
-      "params_billions": 0.494
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.23016152697066006
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3224479825736107
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.04380664652567976
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.27684563758389263
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.34079166666666666
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.15001662234042554
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_5e-6-3ep_0alp_0lam/0b72d3c8-aaff-4eca-854d-07d132e9aa25.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_5e-6-3ep_0alp_0lam/0b72d3c8-aaff-4eca-854d-07d132e9aa25.json
deleted file mode 100644
index 9ae9af03e..000000000
--- a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_5e-6-3ep_0alp_0lam/0b72d3c8-aaff-4eca-854d-07d132e9aa25.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_5e-6-3ep_0alp_0lam/1762652579.670511",
-  "retrieved_timestamp": "1762652579.6705122",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_5e-6-3ep_0alp_0lam",
-    "developer": "JayHyeon",
-    "inference_platform": "unknown",
-    "id": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_5e-6-3ep_0alp_0lam",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 0.63
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.25236816092412573
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3278027492189594
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.04078549848942598
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.27768456375838924
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.33945833333333336
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.15209441489361702
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_5e-6-3ep_0alp_0lam/ca850c4a-14d0-4145-9977-0d33e6e3e362.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_5e-6-3ep_0alp_0lam/ca850c4a-14d0-4145-9977-0d33e6e3e362.json
new file mode 100644
index 000000000..38c8a17c7
--- /dev/null
+++ b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_5e-6-3ep_0alp_0lam/ca850c4a-14d0-4145-9977-0d33e6e3e362.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_5e-6-3ep_0alp_0lam/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_5e-6-3ep_0alp_0lam",
+    "id": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_5e-6-3ep_0alp_0lam",
+    "developer": "JayHyeon",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 0.63
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2524
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3278
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0408
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2777
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3395
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1521
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_5e-7-3ep_0alp_0lam/021eca20-1a26-4eba-9006-fb005e91696d.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_5e-7-3ep_0alp_0lam/021eca20-1a26-4eba-9006-fb005e91696d.json
deleted file mode 100644
index 4efd56ef3..000000000
--- a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_5e-7-3ep_0alp_0lam/021eca20-1a26-4eba-9006-fb005e91696d.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_5e-7-3ep_0alp_0lam/1762652579.67072",
-  "retrieved_timestamp": "1762652579.67072",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_5e-7-3ep_0alp_0lam",
-    "developer": "JayHyeon",
-    "inference_platform": "unknown",
-    "id": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_5e-7-3ep_0alp_0lam",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 0.63
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2657570801030156
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
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diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_5e-7-3ep_0alp_0lam/7389caa3-6d8f-43e3-b3f2-d9320e56f621.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_5e-7-3ep_0alp_0lam/7389caa3-6d8f-43e3-b3f2-d9320e56f621.json
new file mode 100644
index 000000000..a5198f971
--- /dev/null
+++ b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_5e-7-3ep_0alp_0lam/7389caa3-6d8f-43e3-b3f2-d9320e56f621.json
@@ -0,0 +1,132 @@
+{
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+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
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+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_5e-7-3ep_0alp_0lam",
+    "id": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_5e-7-3ep_0alp_0lam",
+    "developer": "JayHyeon",
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+    "additional_details": {
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+    }
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+  "evaluation_results": [
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+      },
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+    },
+    {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "max_score": 1.0
+      },
+      "score_details": {
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+    },
+    {
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+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
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+    {
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
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+        "hf_repo": "TAUR-Lab/MuSR"
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+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
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+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
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+      },
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+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_5e-7_1ep_0alp_0lam/1e822b0f-0d80-4613-983b-ebd2e6fbfcd6.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_5e-7_1ep_0alp_0lam/1e822b0f-0d80-4613-983b-ebd2e6fbfcd6.json
new file mode 100644
index 000000000..1707361ce
--- /dev/null
+++ b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_5e-7_1ep_0alp_0lam/1e822b0f-0d80-4613-983b-ebd2e6fbfcd6.json
@@ -0,0 +1,132 @@
+{
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+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
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+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_5e-7_1ep_0alp_0lam",
+    "id": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_5e-7_1ep_0alp_0lam",
+    "developer": "JayHyeon",
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+    }
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+        "score_type": "continuous",
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+      },
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+      }
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+    {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
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+        "lower_is_better": false,
+        "score_type": "continuous",
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+      "score_details": {
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+    },
+    {
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+      },
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+        "evaluation_description": "Exact Match on MATH Level 5",
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+    },
+    {
+      "evaluation_name": "GPQA",
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_5e-7_1ep_0alp_0lam/8662faaa-8964-468a-991b-43b2f0449d48.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_5e-7_1ep_0alp_0lam/8662faaa-8964-468a-991b-43b2f0449d48.json
deleted file mode 100644
index c1396859b..000000000
--- a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_5e-7_1ep_0alp_0lam/8662faaa-8964-468a-991b-43b2f0449d48.json
+++ /dev/null
@@ -1,105 +0,0 @@
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-    "developer": "JayHyeon",
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diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_5e-7_2ep_0alp_0lam/1206f592-e6f7-4e7d-83cd-cbe82b37ec58.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_5e-7_2ep_0alp_0lam/1206f592-e6f7-4e7d-83cd-cbe82b37ec58.json
new file mode 100644
index 000000000..375805022
--- /dev/null
+++ b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_5e-7_2ep_0alp_0lam/1206f592-e6f7-4e7d-83cd-cbe82b37ec58.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_5e-7_2ep_0alp_0lam/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_5e-7_2ep_0alp_0lam",
+    "id": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_5e-7_2ep_0alp_0lam",
+    "developer": "JayHyeon",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2Model",
+      "params_billions": 0.494
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.256
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3159
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0378
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2768
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3275
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1562
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_5e-7_2ep_0alp_0lam/56cad8c7-566f-46e5-9692-3c11f4408921.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_5e-7_2ep_0alp_0lam/56cad8c7-566f-46e5-9692-3c11f4408921.json
deleted file mode 100644
index 168e1b92c..000000000
--- a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_5e-7_2ep_0alp_0lam/56cad8c7-566f-46e5-9692-3c11f4408921.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_5e-7_2ep_0alp_0lam/1762652579.671123",
-  "retrieved_timestamp": "1762652579.671123",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_5e-7_2ep_0alp_0lam",
-    "developer": "JayHyeon",
-    "inference_platform": "unknown",
-    "id": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_5e-7_2ep_0alp_0lam",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2Model",
-      "params_billions": 0.494
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2560151509106947
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3158776856286612
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.0377643504531722
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.27684563758389263
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3275208333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.15616688829787234
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_7e-7-3ep_0alp_0lam/e4085c6a-bc16-4328-a724-4b9838b55faa.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_7e-7-3ep_0alp_0lam/e4085c6a-bc16-4328-a724-4b9838b55faa.json
new file mode 100644
index 000000000..67bf5ff22
--- /dev/null
+++ b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_7e-7-3ep_0alp_0lam/e4085c6a-bc16-4328-a724-4b9838b55faa.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_7e-7-3ep_0alp_0lam/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_7e-7-3ep_0alp_0lam",
+    "id": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_7e-7-3ep_0alp_0lam",
+    "developer": "JayHyeon",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 0.63
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2499
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3156
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.04
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2701
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3302
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1556
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_7e-7-3ep_0alp_0lam/f86fb81b-29b8-425f-8129-ea054108a214.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_7e-7-3ep_0alp_0lam/f86fb81b-29b8-425f-8129-ea054108a214.json
deleted file mode 100644
index 57648d4d8..000000000
--- a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_7e-7-3ep_0alp_0lam/f86fb81b-29b8-425f-8129-ea054108a214.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_7e-7-3ep_0alp_0lam/1762652579.671335",
-  "retrieved_timestamp": "1762652579.671336",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_7e-7-3ep_0alp_0lam",
-    "developer": "JayHyeon",
-    "inference_platform": "unknown",
-    "id": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_7e-7-3ep_0alp_0lam",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 0.63
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2498703440205322
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.31561997255280577
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.04003021148036254
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2701342281879195
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3301875
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.15558510638297873
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_7e-7_1ep_0alp_0lam/3c5ff9bc-b33a-4557-9c76-ccc041de985c.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_7e-7_1ep_0alp_0lam/3c5ff9bc-b33a-4557-9c76-ccc041de985c.json
deleted file mode 100644
index 0c6c5f078..000000000
--- a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_7e-7_1ep_0alp_0lam/3c5ff9bc-b33a-4557-9c76-ccc041de985c.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_7e-7_1ep_0alp_0lam/1762652579.671542",
-  "retrieved_timestamp": "1762652579.6715431",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_7e-7_1ep_0alp_0lam",
-    "developer": "JayHyeon",
-    "inference_platform": "unknown",
-    "id": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_7e-7_1ep_0alp_0lam",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2Model",
-      "params_billions": 0.494
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.249595517670891
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.31774285416798703
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.045317220543806644
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2625838926174497
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.33148958333333334
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1566655585106383
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_7e-7_1ep_0alp_0lam/b929b955-1fbb-43d0-add1-4d58fdc4097c.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_7e-7_1ep_0alp_0lam/b929b955-1fbb-43d0-add1-4d58fdc4097c.json
new file mode 100644
index 000000000..0387f9f97
--- /dev/null
+++ b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_7e-7_1ep_0alp_0lam/b929b955-1fbb-43d0-add1-4d58fdc4097c.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_7e-7_1ep_0alp_0lam/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_7e-7_1ep_0alp_0lam",
+    "id": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_7e-7_1ep_0alp_0lam",
+    "developer": "JayHyeon",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2Model",
+      "params_billions": 0.494
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2496
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3177
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0453
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2626
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3315
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1567
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_7e-7_2ep_0alp_0lam/64e0c863-f33c-44d7-b244-e5288e5018fb.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_7e-7_2ep_0alp_0lam/64e0c863-f33c-44d7-b244-e5288e5018fb.json
deleted file mode 100644
index 7b7f76cca..000000000
--- a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_7e-7_2ep_0alp_0lam/64e0c863-f33c-44d7-b244-e5288e5018fb.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_7e-7_2ep_0alp_0lam/1762652579.6717582",
-  "retrieved_timestamp": "1762652579.6717582",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_7e-7_2ep_0alp_0lam",
-    "developer": "JayHyeon",
-    "inference_platform": "unknown",
-    "id": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_7e-7_2ep_0alp_0lam",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2Model",
-      "params_billions": 0.494
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.25149381419079153
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3172338500122228
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.04380664652567976
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2701342281879195
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3275208333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.15533577127659576
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_7e-7_2ep_0alp_0lam/df723a0f-9a32-42f3-9421-780159f7d821.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_7e-7_2ep_0alp_0lam/df723a0f-9a32-42f3-9421-780159f7d821.json
new file mode 100644
index 000000000..03229f6c3
--- /dev/null
+++ b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_7e-7_2ep_0alp_0lam/df723a0f-9a32-42f3-9421-780159f7d821.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_7e-7_2ep_0alp_0lam/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_7e-7_2ep_0alp_0lam",
+    "id": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep-MDPO_7e-7_2ep_0alp_0lam",
+    "developer": "JayHyeon",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2Model",
+      "params_billions": 0.494
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2515
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3172
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0438
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2701
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3275
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1553
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep/09f59d70-2948-4eb6-a14e-2550c97b5542.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep/09f59d70-2948-4eb6-a14e-2550c97b5542.json
deleted file mode 100644
index a1a1e76ff..000000000
--- a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep/09f59d70-2948-4eb6-a14e-2550c97b5542.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-SFT-2e-5-2ep/1762652579.6576698",
-  "retrieved_timestamp": "1762652579.657671",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep",
-    "developer": "JayHyeon",
-    "inference_platform": "unknown",
-    "id": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 0.63
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2201447714286981
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3217197270809481
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.04078549848942598
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.27768456375838924
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.33669791666666665
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.17096077127659576
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep/c1046d2c-0b5b-4ab7-b173-8d5b5ecbc07d.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep/c1046d2c-0b5b-4ab7-b173-8d5b5ecbc07d.json
new file mode 100644
index 000000000..d40e539a7
--- /dev/null
+++ b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep/c1046d2c-0b5b-4ab7-b173-8d5b5ecbc07d.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-SFT-2e-5-2ep/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-0.5B-SFT-2e-5-2ep",
+    "id": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep",
+    "developer": "JayHyeon",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 0.63
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2201
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3217
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0408
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2777
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3367
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.171
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-3ep/57d9c59d-8cd8-4253-a076-8b16becc740e.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-3ep/57d9c59d-8cd8-4253-a076-8b16becc740e.json
deleted file mode 100644
index 4142084f6..000000000
--- a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-3ep/57d9c59d-8cd8-4253-a076-8b16becc740e.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-SFT-2e-5-3ep/1762652579.671975",
-  "retrieved_timestamp": "1762652579.671975",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-3ep",
-    "developer": "JayHyeon",
-    "inference_platform": "unknown",
-    "id": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-3ep",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 0.63
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.22808813946993975
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3239538094779519
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.045317220543806644
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.26174496644295303
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.330125
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.17461768617021275
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-3ep/60c02070-7554-4764-8a02-841ca75a0d5c.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-3ep/60c02070-7554-4764-8a02-841ca75a0d5c.json
new file mode 100644
index 000000000..c536b41df
--- /dev/null
+++ b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-3ep/60c02070-7554-4764-8a02-841ca75a0d5c.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-SFT-2e-5-3ep/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-0.5B-SFT-2e-5-3ep",
+    "id": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-3ep",
+    "developer": "JayHyeon",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 0.63
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2281
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.324
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0453
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2617
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3301
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1746
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-5ep-MDPO_5e-7_3ep_0alp_0lam/5fb209a6-3d82-4017-8e44-3615d7c50218.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-5ep-MDPO_5e-7_3ep_0alp_0lam/5fb209a6-3d82-4017-8e44-3615d7c50218.json
deleted file mode 100644
index 3e4c0ca29..000000000
--- a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-5ep-MDPO_5e-7_3ep_0alp_0lam/5fb209a6-3d82-4017-8e44-3615d7c50218.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-SFT-2e-5-5ep-MDPO_5e-7_3ep_0alp_0lam/1762652579.672395",
-  "retrieved_timestamp": "1762652579.672396",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-5ep-MDPO_5e-7_3ep_0alp_0lam",
-    "developer": "JayHyeon",
-    "inference_platform": "unknown",
-    "id": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-5ep-MDPO_5e-7_3ep_0alp_0lam",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 0.63
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.25259311958935626
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.323809171214906
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.03927492447129909
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2676174496644295
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3528229166666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.15741356382978725
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-5ep-MDPO_5e-7_3ep_0alp_0lam/d243f226-149b-4824-837e-e80ab68bae9d.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-5ep-MDPO_5e-7_3ep_0alp_0lam/d243f226-149b-4824-837e-e80ab68bae9d.json
new file mode 100644
index 000000000..a45e23e39
--- /dev/null
+++ b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-5ep-MDPO_5e-7_3ep_0alp_0lam/d243f226-149b-4824-837e-e80ab68bae9d.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-SFT-2e-5-5ep-MDPO_5e-7_3ep_0alp_0lam/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-0.5B-SFT-2e-5-5ep-MDPO_5e-7_3ep_0alp_0lam",
+    "id": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-5ep-MDPO_5e-7_3ep_0alp_0lam",
+    "developer": "JayHyeon",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 0.63
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2526
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3238
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0393
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2676
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3528
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1574
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-5ep-MDPO_5e-7_3ep_0alp_0lam_1ep/2ccd9994-1d9c-40c4-85d0-c74af7544b6d.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-5ep-MDPO_5e-7_3ep_0alp_0lam_1ep/2ccd9994-1d9c-40c4-85d0-c74af7544b6d.json
deleted file mode 100644
index 7ce581266..000000000
--- a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-5ep-MDPO_5e-7_3ep_0alp_0lam_1ep/2ccd9994-1d9c-40c4-85d0-c74af7544b6d.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-SFT-2e-5-5ep-MDPO_5e-7_3ep_0alp_0lam_1ep/1762652579.672603",
-  "retrieved_timestamp": "1762652579.6726038",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-5ep-MDPO_5e-7_3ep_0alp_0lam_1ep",
-    "developer": "JayHyeon",
-    "inference_platform": "unknown",
-    "id": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-5ep-MDPO_5e-7_3ep_0alp_0lam_1ep",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2Model",
-      "params_billions": 0.494
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.24812165055386376
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.31748404240871353
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.03851963746223565
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2625838926174497
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.34752083333333333
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.15965757978723405
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-5ep-MDPO_5e-7_3ep_0alp_0lam_1ep/4f9361d0-2ad9-44da-a1d9-876d43451ae6.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-5ep-MDPO_5e-7_3ep_0alp_0lam_1ep/4f9361d0-2ad9-44da-a1d9-876d43451ae6.json
new file mode 100644
index 000000000..d516e44ee
--- /dev/null
+++ b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-5ep-MDPO_5e-7_3ep_0alp_0lam_1ep/4f9361d0-2ad9-44da-a1d9-876d43451ae6.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-SFT-2e-5-5ep-MDPO_5e-7_3ep_0alp_0lam_1ep/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-0.5B-SFT-2e-5-5ep-MDPO_5e-7_3ep_0alp_0lam_1ep",
+    "id": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-5ep-MDPO_5e-7_3ep_0alp_0lam_1ep",
+    "developer": "JayHyeon",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2Model",
+      "params_billions": 0.494
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2481
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3175
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0385
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2626
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3475
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1597
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-5ep-MDPO_5e-7_3ep_0alp_0lam_2ep/1f1f5c3d-4ee4-4ed8-adeb-9e83942a7e32.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-5ep-MDPO_5e-7_3ep_0alp_0lam_2ep/1f1f5c3d-4ee4-4ed8-adeb-9e83942a7e32.json
deleted file mode 100644
index 88d976e3a..000000000
--- a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-5ep-MDPO_5e-7_3ep_0alp_0lam_2ep/1f1f5c3d-4ee4-4ed8-adeb-9e83942a7e32.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-SFT-2e-5-5ep-MDPO_5e-7_3ep_0alp_0lam_2ep/1762652579.672818",
-  "retrieved_timestamp": "1762652579.672818",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-5ep-MDPO_5e-7_3ep_0alp_0lam_2ep",
-    "developer": "JayHyeon",
-    "inference_platform": "unknown",
-    "id": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-5ep-MDPO_5e-7_3ep_0alp_0lam_2ep",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2Model",
-      "params_billions": 0.494
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.25476624245889795
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3199073234678175
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.03851963746223565
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2651006711409396
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.34348958333333335
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.15616688829787234
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-5ep-MDPO_5e-7_3ep_0alp_0lam_2ep/6c6e9ebc-f83d-48d5-b69f-be43d4167a0e.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-5ep-MDPO_5e-7_3ep_0alp_0lam_2ep/6c6e9ebc-f83d-48d5-b69f-be43d4167a0e.json
new file mode 100644
index 000000000..fc27247a4
--- /dev/null
+++ b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-5ep-MDPO_5e-7_3ep_0alp_0lam_2ep/6c6e9ebc-f83d-48d5-b69f-be43d4167a0e.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-SFT-2e-5-5ep-MDPO_5e-7_3ep_0alp_0lam_2ep/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-0.5B-SFT-2e-5-5ep-MDPO_5e-7_3ep_0alp_0lam_2ep",
+    "id": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-5ep-MDPO_5e-7_3ep_0alp_0lam_2ep",
+    "developer": "JayHyeon",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2Model",
+      "params_billions": 0.494
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2548
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3199
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0385
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2651
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3435
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1562
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-5ep-MDPO_7e-7_3ep_0alp_0lam/7cd2c0da-15b8-4ad6-8cad-feb68631c079.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-5ep-MDPO_7e-7_3ep_0alp_0lam/7cd2c0da-15b8-4ad6-8cad-feb68631c079.json
new file mode 100644
index 000000000..60222a1b0
--- /dev/null
+++ b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-5ep-MDPO_7e-7_3ep_0alp_0lam/7cd2c0da-15b8-4ad6-8cad-feb68631c079.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-SFT-2e-5-5ep-MDPO_7e-7_3ep_0alp_0lam/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-0.5B-SFT-2e-5-5ep-MDPO_7e-7_3ep_0alp_0lam",
+    "id": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-5ep-MDPO_7e-7_3ep_0alp_0lam",
+    "developer": "JayHyeon",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 0.63
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2423
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3219
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.034
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2701
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3515
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1563
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-5ep-MDPO_7e-7_3ep_0alp_0lam/f9c4db8f-b56e-41cd-9c87-ba2d4b36520a.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-5ep-MDPO_7e-7_3ep_0alp_0lam/f9c4db8f-b56e-41cd-9c87-ba2d4b36520a.json
deleted file mode 100644
index 37b7f7b12..000000000
--- a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-5ep-MDPO_7e-7_3ep_0alp_0lam/f9c4db8f-b56e-41cd-9c87-ba2d4b36520a.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-SFT-2e-5-5ep-MDPO_7e-7_3ep_0alp_0lam/1762652579.673032",
-  "retrieved_timestamp": "1762652579.673033",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-5ep-MDPO_7e-7_3ep_0alp_0lam",
-    "developer": "JayHyeon",
-    "inference_platform": "unknown",
-    "id": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-5ep-MDPO_7e-7_3ep_0alp_0lam",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 0.63
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2423015376977531
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.32193163799444524
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.033987915407854986
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2701342281879195
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.35152083333333334
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.15633311170212766
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-5ep-MDPO_7e-7_3ep_0alp_0lam_1ep/36b84cf2-d221-4e9a-b728-37dc2bf7e1d6.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-5ep-MDPO_7e-7_3ep_0alp_0lam_1ep/36b84cf2-d221-4e9a-b728-37dc2bf7e1d6.json
new file mode 100644
index 000000000..97123425b
--- /dev/null
+++ b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-5ep-MDPO_7e-7_3ep_0alp_0lam_1ep/36b84cf2-d221-4e9a-b728-37dc2bf7e1d6.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-SFT-2e-5-5ep-MDPO_7e-7_3ep_0alp_0lam_1ep/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-0.5B-SFT-2e-5-5ep-MDPO_7e-7_3ep_0alp_0lam_1ep",
+    "id": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-5ep-MDPO_7e-7_3ep_0alp_0lam_1ep",
+    "developer": "JayHyeon",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2Model",
+      "params_billions": 0.494
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2493
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3191
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0393
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2685
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3475
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1592
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-5ep-MDPO_7e-7_3ep_0alp_0lam_1ep/d1ae295e-1364-442c-a3e4-ac2ad9884a78.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-5ep-MDPO_7e-7_3ep_0alp_0lam_1ep/d1ae295e-1364-442c-a3e4-ac2ad9884a78.json
deleted file mode 100644
index 9030b2f2d..000000000
--- a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-5ep-MDPO_7e-7_3ep_0alp_0lam_1ep/d1ae295e-1364-442c-a3e4-ac2ad9884a78.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-SFT-2e-5-5ep-MDPO_7e-7_3ep_0alp_0lam_1ep/1762652579.673239",
-  "retrieved_timestamp": "1762652579.67324",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-5ep-MDPO_7e-7_3ep_0alp_0lam_1ep",
-    "developer": "JayHyeon",
-    "inference_platform": "unknown",
-    "id": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-5ep-MDPO_7e-7_3ep_0alp_0lam_1ep",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2Model",
-      "params_billions": 0.494
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.24927082363683917
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3190945593427599
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.03927492447129909
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2684563758389262
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.34752083333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.15915890957446807
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-5ep-MDPO_7e-7_3ep_0alp_0lam_2ep/1fd0d1db-1d75-4b10-bae8-33023c2c7466.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-5ep-MDPO_7e-7_3ep_0alp_0lam_2ep/1fd0d1db-1d75-4b10-bae8-33023c2c7466.json
new file mode 100644
index 000000000..591bed95d
--- /dev/null
+++ b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-5ep-MDPO_7e-7_3ep_0alp_0lam_2ep/1fd0d1db-1d75-4b10-bae8-33023c2c7466.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-SFT-2e-5-5ep-MDPO_7e-7_3ep_0alp_0lam_2ep/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-0.5B-SFT-2e-5-5ep-MDPO_7e-7_3ep_0alp_0lam_2ep",
+    "id": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-5ep-MDPO_7e-7_3ep_0alp_0lam_2ep",
+    "developer": "JayHyeon",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2Model",
+      "params_billions": 0.494
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2478
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3218
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0415
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2693
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3515
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1556
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-5ep-MDPO_7e-7_3ep_0alp_0lam_2ep/86c29317-7d5f-42c2-a156-615d3c4a259d.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-5ep-MDPO_7e-7_3ep_0alp_0lam_2ep/86c29317-7d5f-42c2-a156-615d3c4a259d.json
deleted file mode 100644
index 24425d4b0..000000000
--- a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-5ep-MDPO_7e-7_3ep_0alp_0lam_2ep/86c29317-7d5f-42c2-a156-615d3c4a259d.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-SFT-2e-5-5ep-MDPO_7e-7_3ep_0alp_0lam_2ep/1762652579.673455",
-  "retrieved_timestamp": "1762652579.6734562",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-5ep-MDPO_7e-7_3ep_0alp_0lam_2ep",
-    "developer": "JayHyeon",
-    "inference_platform": "unknown",
-    "id": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-5ep-MDPO_7e-7_3ep_0alp_0lam_2ep",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2Model",
-      "params_billions": 0.494
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.24779695651981187
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3218405915852565
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.04154078549848943
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.26929530201342283
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.35152083333333334
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.15558510638297873
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-5ep/70a5a5fb-9dd6-4b1c-a7ac-11155d5ef837.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-5ep/70a5a5fb-9dd6-4b1c-a7ac-11155d5ef837.json
deleted file mode 100644
index 7447ea482..000000000
--- a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-5ep/70a5a5fb-9dd6-4b1c-a7ac-11155d5ef837.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-SFT-2e-5-5ep/1762652579.6721878",
-  "retrieved_timestamp": "1762652579.6721878",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-5ep",
-    "developer": "JayHyeon",
-    "inference_platform": "unknown",
-    "id": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-5ep",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 0.63
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.23478259905938464
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.33076056644270485
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.05060422960725076
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.26426174496644295
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.34088541666666666
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.16954787234042554
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-5ep/c6c02512-6c91-4818-a084-c48915fd83de.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-5ep/c6c02512-6c91-4818-a084-c48915fd83de.json
new file mode 100644
index 000000000..6bd7dcd08
--- /dev/null
+++ b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5-5ep/c6c02512-6c91-4818-a084-c48915fd83de.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-SFT-2e-5-5ep/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-0.5B-SFT-2e-5-5ep",
+    "id": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5-5ep",
+    "developer": "JayHyeon",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 0.63
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2348
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3308
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0506
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2643
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3409
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1695
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5/047ed340-ddb8-40ca-b1ee-10f12b182e43.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5/047ed340-ddb8-40ca-b1ee-10f12b182e43.json
deleted file mode 100644
index ce31cd29e..000000000
--- a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5/047ed340-ddb8-40ca-b1ee-10f12b182e43.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-SFT-2e-5/1762652579.65739",
-  "retrieved_timestamp": "1762652579.657391",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5",
-    "developer": "JayHyeon",
-    "inference_platform": "unknown",
-    "id": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 0.63
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2067558522498083
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3203968601167082
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.03700906344410876
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.26929530201342283
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3486666666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.16780252659574468
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5/326affa2-9ea4-4fc9-b60f-d2abeb7493c3.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5/326affa2-9ea4-4fc9-b60f-d2abeb7493c3.json
new file mode 100644
index 000000000..02a1ed3dd
--- /dev/null
+++ b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-2e-5/326affa2-9ea4-4fc9-b60f-d2abeb7493c3.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-SFT-2e-5/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-0.5B-SFT-2e-5",
+    "id": "JayHyeon/Qwen2.5-0.5B-SFT-2e-5",
+    "developer": "JayHyeon",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 0.63
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2068
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3204
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.037
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2693
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3487
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1678
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-5e-5-2ep/94b65c53-7e0c-4506-bd19-82d23709d269.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-5e-5-2ep/94b65c53-7e0c-4506-bd19-82d23709d269.json
deleted file mode 100644
index 9952cd229..000000000
--- a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-5e-5-2ep/94b65c53-7e0c-4506-bd19-82d23709d269.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-SFT-5e-5-2ep/1762652579.673873",
-  "retrieved_timestamp": "1762652579.673873",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "JayHyeon/Qwen2.5-0.5B-SFT-5e-5-2ep",
-    "developer": "JayHyeon",
-    "inference_platform": "unknown",
-    "id": "JayHyeon/Qwen2.5-0.5B-SFT-5e-5-2ep",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 0.63
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.21747186354428472
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3179879277889672
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.0377643504531722
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2600671140939597
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.33679166666666666
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.16273271276595744
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-5e-5-2ep/b3a190d1-5b86-4439-a21e-1f118239db82.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-5e-5-2ep/b3a190d1-5b86-4439-a21e-1f118239db82.json
new file mode 100644
index 000000000..3ce9e8679
--- /dev/null
+++ b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-5e-5-2ep/b3a190d1-5b86-4439-a21e-1f118239db82.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-SFT-5e-5-2ep/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-0.5B-SFT-5e-5-2ep",
+    "id": "JayHyeon/Qwen2.5-0.5B-SFT-5e-5-2ep",
+    "developer": "JayHyeon",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 0.63
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2175
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.318
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0378
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2601
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3368
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1627
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-5e-5-3ep/1c779874-5568-462e-9e6e-0e3fd42d023e.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-5e-5-3ep/1c779874-5568-462e-9e6e-0e3fd42d023e.json
deleted file mode 100644
index 021da02ec..000000000
--- a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-5e-5-3ep/1c779874-5568-462e-9e6e-0e3fd42d023e.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-SFT-5e-5-3ep/1762652579.674078",
-  "retrieved_timestamp": "1762652579.674078",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "JayHyeon/Qwen2.5-0.5B-SFT-5e-5-3ep",
-    "developer": "JayHyeon",
-    "inference_platform": "unknown",
-    "id": "JayHyeon/Qwen2.5-0.5B-SFT-5e-5-3ep",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 0.63
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2198699450790569
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.32974820176156994
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.030211480362537766
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2533557046979866
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.35933333333333334
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1651429521276596
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-5e-5-3ep/b37a7db5-b26f-4a82-b27c-6c3a2ba72fda.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-5e-5-3ep/b37a7db5-b26f-4a82-b27c-6c3a2ba72fda.json
new file mode 100644
index 000000000..ce21c0bef
--- /dev/null
+++ b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-5e-5-3ep/b37a7db5-b26f-4a82-b27c-6c3a2ba72fda.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-SFT-5e-5-3ep/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-0.5B-SFT-5e-5-3ep",
+    "id": "JayHyeon/Qwen2.5-0.5B-SFT-5e-5-3ep",
+    "developer": "JayHyeon",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 0.63
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2199
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3297
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0302
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2534
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3593
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1651
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-5e-5-5ep/05a59445-b816-4982-9b1a-1c2394ffbaa9.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-5e-5-5ep/05a59445-b816-4982-9b1a-1c2394ffbaa9.json
new file mode 100644
index 000000000..8649fd379
--- /dev/null
+++ b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-5e-5-5ep/05a59445-b816-4982-9b1a-1c2394ffbaa9.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-SFT-5e-5-5ep/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-0.5B-SFT-5e-5-5ep",
+    "id": "JayHyeon/Qwen2.5-0.5B-SFT-5e-5-5ep",
+    "developer": "JayHyeon",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 0.63
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2077
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3276
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0272
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2685
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3766
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1587
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-5e-5-5ep/f562a3e4-6afe-4c1d-a597-6265af34f925.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-5e-5-5ep/f562a3e4-6afe-4c1d-a597-6265af34f925.json
deleted file mode 100644
index aa11fd153..000000000
--- a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-5e-5-5ep/f562a3e4-6afe-4c1d-a597-6265af34f925.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-SFT-5e-5-5ep/1762652579.674291",
-  "retrieved_timestamp": "1762652579.6742918",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "JayHyeon/Qwen2.5-0.5B-SFT-5e-5-5ep",
-    "developer": "JayHyeon",
-    "inference_platform": "unknown",
-    "id": "JayHyeon/Qwen2.5-0.5B-SFT-5e-5-5ep",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 0.63
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2077299343519639
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3275980298873716
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.027190332326283987
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2684563758389262
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3766354166666666
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.15866023936170212
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-5e-5/cdbbfad9-85e8-4c8b-b70c-708c08a62798.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-5e-5/cdbbfad9-85e8-4c8b-b70c-708c08a62798.json
deleted file mode 100644
index 746b8d738..000000000
--- a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-5e-5/cdbbfad9-85e8-4c8b-b70c-708c08a62798.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-SFT-5e-5/1762652579.673672",
-  "retrieved_timestamp": "1762652579.673672",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "JayHyeon/Qwen2.5-0.5B-SFT-5e-5",
-    "developer": "JayHyeon",
-    "inference_platform": "unknown",
-    "id": "JayHyeon/Qwen2.5-0.5B-SFT-5e-5",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 0.63
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2009856070781083
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.31093810553451656
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.033987915407854986
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2676174496644295
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.33809375
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.16722074468085107
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-5e-5/ff952579-e92d-4af8-9497-f49fed5efba0.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-5e-5/ff952579-e92d-4af8-9497-f49fed5efba0.json
new file mode 100644
index 000000000..c0f65b58b
--- /dev/null
+++ b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-5e-5/ff952579-e92d-4af8-9497-f49fed5efba0.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-SFT-5e-5/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-0.5B-SFT-5e-5",
+    "id": "JayHyeon/Qwen2.5-0.5B-SFT-5e-5",
+    "developer": "JayHyeon",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 0.63
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.201
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3109
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.034
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2676
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3381
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1672
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-7e-5-2ep/9cf15d33-3624-4161-bdad-069b09ab2290.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-7e-5-2ep/9cf15d33-3624-4161-bdad-069b09ab2290.json
deleted file mode 100644
index c980472e1..000000000
--- a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-7e-5-2ep/9cf15d33-3624-4161-bdad-069b09ab2290.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-SFT-7e-5-2ep/1762652579.674706",
-  "retrieved_timestamp": "1762652579.674707",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "JayHyeon/Qwen2.5-0.5B-SFT-7e-5-2ep",
-    "developer": "JayHyeon",
-    "inference_platform": "unknown",
-    "id": "JayHyeon/Qwen2.5-0.5B-SFT-7e-5-2ep",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 0.63
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2156234347087949
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3100411318318588
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.03927492447129909
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2424496644295302
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3367291666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.15674867021276595
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-7e-5-2ep/b541ede0-6de9-4557-8280-43567fd3dd96.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-7e-5-2ep/b541ede0-6de9-4557-8280-43567fd3dd96.json
new file mode 100644
index 000000000..b702f2d51
--- /dev/null
+++ b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-7e-5-2ep/b541ede0-6de9-4557-8280-43567fd3dd96.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-SFT-7e-5-2ep/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-0.5B-SFT-7e-5-2ep",
+    "id": "JayHyeon/Qwen2.5-0.5B-SFT-7e-5-2ep",
+    "developer": "JayHyeon",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 0.63
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2156
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.31
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0393
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2424
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3367
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1567
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-7e-5-3ep/658df4b3-084f-479f-b507-3a4247683651.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-7e-5-3ep/658df4b3-084f-479f-b507-3a4247683651.json
deleted file mode 100644
index 3efdf42d8..000000000
--- a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-7e-5-3ep/658df4b3-084f-479f-b507-3a4247683651.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-SFT-7e-5-3ep/1762652579.674919",
-  "retrieved_timestamp": "1762652579.674919",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "JayHyeon/Qwen2.5-0.5B-SFT-7e-5-3ep",
-    "developer": "JayHyeon",
-    "inference_platform": "unknown",
-    "id": "JayHyeon/Qwen2.5-0.5B-SFT-7e-5-3ep",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 0.63
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.23805502732749106
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3199313632207049
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.03323262839879154
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.23657718120805368
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3553645833333334
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.15217752659574468
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-7e-5-3ep/8514f601-0bb2-4639-90cc-29e96088e7de.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-7e-5-3ep/8514f601-0bb2-4639-90cc-29e96088e7de.json
new file mode 100644
index 000000000..686bff7aa
--- /dev/null
+++ b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-7e-5-3ep/8514f601-0bb2-4639-90cc-29e96088e7de.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-SFT-7e-5-3ep/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-0.5B-SFT-7e-5-3ep",
+    "id": "JayHyeon/Qwen2.5-0.5B-SFT-7e-5-3ep",
+    "developer": "JayHyeon",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 0.63
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2381
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3199
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0332
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2366
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3554
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1522
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-7e-5-5ep/4e72cc33-538b-4fa7-8038-89794fed6511.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-7e-5-5ep/4e72cc33-538b-4fa7-8038-89794fed6511.json
deleted file mode 100644
index ff156f257..000000000
--- a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-7e-5-5ep/4e72cc33-538b-4fa7-8038-89794fed6511.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-SFT-7e-5-5ep/1762652579.6751308",
-  "retrieved_timestamp": "1762652579.6751318",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "JayHyeon/Qwen2.5-0.5B-SFT-7e-5-5ep",
-    "developer": "JayHyeon",
-    "inference_platform": "unknown",
-    "id": "JayHyeon/Qwen2.5-0.5B-SFT-7e-5-5ep",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 0.63
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.21197644472222593
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.32002953673668666
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.02190332326283988
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.24580536912751677
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37127083333333327
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1628158244680851
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-7e-5-5ep/57e6d0cf-943a-4b83-a1f4-4f03b5066523.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-7e-5-5ep/57e6d0cf-943a-4b83-a1f4-4f03b5066523.json
new file mode 100644
index 000000000..138ef3aec
--- /dev/null
+++ b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-7e-5-5ep/57e6d0cf-943a-4b83-a1f4-4f03b5066523.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-SFT-7e-5-5ep/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-0.5B-SFT-7e-5-5ep",
+    "id": "JayHyeon/Qwen2.5-0.5B-SFT-7e-5-5ep",
+    "developer": "JayHyeon",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 0.63
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.212
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.32
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0219
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2458
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3713
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1628
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-7e-5/891bb442-c054-4941-9bd1-8352139f143e.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-7e-5/891bb442-c054-4941-9bd1-8352139f143e.json
deleted file mode 100644
index 7e2d9b4bc..000000000
--- a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-7e-5/891bb442-c054-4941-9bd1-8352139f143e.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-SFT-7e-5/1762652579.6744971",
-  "retrieved_timestamp": "1762652579.674498",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "JayHyeon/Qwen2.5-0.5B-SFT-7e-5",
-    "developer": "JayHyeon",
-    "inference_platform": "unknown",
-    "id": "JayHyeon/Qwen2.5-0.5B-SFT-7e-5",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 0.63
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.20925366915340185
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3158179005969299
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.030211480362537766
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.25671140939597314
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.33669791666666665
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1622340425531915
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-7e-5/ec205127-21c0-4edf-bb3a-ec8ccac4fcdb.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-7e-5/ec205127-21c0-4edf-bb3a-ec8ccac4fcdb.json
new file mode 100644
index 000000000..0c78b2864
--- /dev/null
+++ b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-7e-5/ec205127-21c0-4edf-bb3a-ec8ccac4fcdb.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-SFT-7e-5/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-0.5B-SFT-7e-5",
+    "id": "JayHyeon/Qwen2.5-0.5B-SFT-7e-5",
+    "developer": "JayHyeon",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 0.63
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2093
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3158
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0302
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2567
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3367
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1622
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-DPO-1epoch_v1/14b260e6-4300-43ec-b7af-587a2f5b03fb.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-DPO-1epoch_v1/14b260e6-4300-43ec-b7af-587a2f5b03fb.json
new file mode 100644
index 000000000..0329a0fc0
--- /dev/null
+++ b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-DPO-1epoch_v1/14b260e6-4300-43ec-b7af-587a2f5b03fb.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-SFT-DPO-1epoch_v1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-0.5B-SFT-DPO-1epoch_v1",
+    "id": "JayHyeon/Qwen2.5-0.5B-SFT-DPO-1epoch_v1",
+    "developer": "JayHyeon",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2Model",
+      "params_billions": 0.494
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2025
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3268
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0363
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2727
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3209
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.133
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-DPO-1epoch_v1/ac94a989-668a-49e6-9975-9169d7394574.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-DPO-1epoch_v1/ac94a989-668a-49e6-9975-9169d7394574.json
deleted file mode 100644
index 0564dc2cd..000000000
--- a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-DPO-1epoch_v1/ac94a989-668a-49e6-9975-9169d7394574.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-SFT-DPO-1epoch_v1/1762652579.67534",
-  "retrieved_timestamp": "1762652579.6753411",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "JayHyeon/Qwen2.5-0.5B-SFT-DPO-1epoch_v1",
-    "developer": "JayHyeon",
-    "inference_platform": "unknown",
-    "id": "JayHyeon/Qwen2.5-0.5B-SFT-DPO-1epoch_v1",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2Model",
-      "params_billions": 0.494
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.20245947419513555
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.326814314271471
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.03625377643504532
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2726510067114094
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3209166666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.13297872340425532
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-MDPO-1epoch_v1/53de1fc9-7097-4103-b731-588a7bf39f80.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-MDPO-1epoch_v1/53de1fc9-7097-4103-b731-588a7bf39f80.json
new file mode 100644
index 000000000..2d3c81041
--- /dev/null
+++ b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-MDPO-1epoch_v1/53de1fc9-7097-4103-b731-588a7bf39f80.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-SFT-MDPO-1epoch_v1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-0.5B-SFT-MDPO-1epoch_v1",
+    "id": "JayHyeon/Qwen2.5-0.5B-SFT-MDPO-1epoch_v1",
+    "developer": "JayHyeon",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2Model",
+      "params_billions": 0.494
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1964
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3293
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0468
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.276
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3262
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1337
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-MDPO-1epoch_v1/6961b682-04e5-45af-bd2b-8ad6546503e7.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-MDPO-1epoch_v1/6961b682-04e5-45af-bd2b-8ad6546503e7.json
deleted file mode 100644
index d970be2a4..000000000
--- a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT-MDPO-1epoch_v1/6961b682-04e5-45af-bd2b-8ad6546503e7.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-SFT-MDPO-1epoch_v1/1762652579.675586",
-  "retrieved_timestamp": "1762652579.6755872",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "JayHyeon/Qwen2.5-0.5B-SFT-MDPO-1epoch_v1",
-    "developer": "JayHyeon",
-    "inference_platform": "unknown",
-    "id": "JayHyeon/Qwen2.5-0.5B-SFT-MDPO-1epoch_v1",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2Model",
-      "params_billions": 0.494
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1964144026737944
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.32925816453885065
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.04682779456193353
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.276006711409396
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.32615625
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.13372672872340424
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT/1a1031c5-3ec2-4d12-93eb-e0a3b0448ed4.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT/1a1031c5-3ec2-4d12-93eb-e0a3b0448ed4.json
new file mode 100644
index 000000000..2c42031ee
--- /dev/null
+++ b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT/1a1031c5-3ec2-4d12-93eb-e0a3b0448ed4.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-SFT/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-0.5B-SFT",
+    "id": "JayHyeon/Qwen2.5-0.5B-SFT",
+    "developer": "JayHyeon",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 0.63
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1964
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3121
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0272
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2785
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3394
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1673
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT/eb0f4662-54f5-48ca-b871-726e34bbf540.json b/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT/eb0f4662-54f5-48ca-b871-726e34bbf540.json
deleted file mode 100644
index f66b463ab..000000000
--- a/data/hfopenllm_v2/JayHyeon/Qwen2.5-0.5B-SFT/eb0f4662-54f5-48ca-b871-726e34bbf540.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen2.5-0.5B-SFT/1762652579.654298",
-  "retrieved_timestamp": "1762652579.6542988",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "JayHyeon/Qwen2.5-0.5B-SFT",
-    "developer": "JayHyeon",
-    "inference_platform": "unknown",
-    "id": "JayHyeon/Qwen2.5-0.5B-SFT",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 0.63
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.19636453498938372
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.31207478976310743
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.027190332326283987
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2785234899328859
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3394270833333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.16730385638297873
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen_0.5-DPOP_1e-6-3ep_0alp_5lam/51b62d59-f39c-49ca-af0a-73df6440e29d.json b/data/hfopenllm_v2/JayHyeon/Qwen_0.5-DPOP_1e-6-3ep_0alp_5lam/51b62d59-f39c-49ca-af0a-73df6440e29d.json
new file mode 100644
index 000000000..b18776596
--- /dev/null
+++ b/data/hfopenllm_v2/JayHyeon/Qwen_0.5-DPOP_1e-6-3ep_0alp_5lam/51b62d59-f39c-49ca-af0a-73df6440e29d.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen_0.5-DPOP_1e-6-3ep_0alp_5lam/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen_0.5-DPOP_1e-6-3ep_0alp_5lam",
+    "id": "JayHyeon/Qwen_0.5-DPOP_1e-6-3ep_0alp_5lam",
+    "developer": "JayHyeon",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 0.63
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2532
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.314
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0491
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2743
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3315
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1566
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen_0.5-DPOP_1e-6-3ep_0alp_5lam/e4e00595-e1ed-42c9-a518-ff104253cad9.json b/data/hfopenllm_v2/JayHyeon/Qwen_0.5-DPOP_1e-6-3ep_0alp_5lam/e4e00595-e1ed-42c9-a518-ff104253cad9.json
deleted file mode 100644
index dab966edb..000000000
--- a/data/hfopenllm_v2/JayHyeon/Qwen_0.5-DPOP_1e-6-3ep_0alp_5lam/e4e00595-e1ed-42c9-a518-ff104253cad9.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen_0.5-DPOP_1e-6-3ep_0alp_5lam/1762652579.675801",
-  "retrieved_timestamp": "1762652579.675801",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "JayHyeon/Qwen_0.5-DPOP_1e-6-3ep_0alp_5lam",
-    "developer": "JayHyeon",
-    "inference_platform": "unknown",
-    "id": "JayHyeon/Qwen_0.5-DPOP_1e-6-3ep_0alp_5lam",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 0.63
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3140431891367934
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-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-    },
-    {
-      "evaluation_name": "GPQA",
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-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.27432885906040266
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.33145833333333335
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.15658244680851063
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen_0.5-DPOP_1e-7-3ep_0alp_5lam/3a7a5a89-0ab8-47cd-95c6-14a6186e05b9.json b/data/hfopenllm_v2/JayHyeon/Qwen_0.5-DPOP_1e-7-3ep_0alp_5lam/3a7a5a89-0ab8-47cd-95c6-14a6186e05b9.json
deleted file mode 100644
index 84455742f..000000000
--- a/data/hfopenllm_v2/JayHyeon/Qwen_0.5-DPOP_1e-7-3ep_0alp_5lam/3a7a5a89-0ab8-47cd-95c6-14a6186e05b9.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen_0.5-DPOP_1e-7-3ep_0alp_5lam/1762652579.676018",
-  "retrieved_timestamp": "1762652579.676018",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "JayHyeon/Qwen_0.5-DPOP_1e-7-3ep_0alp_5lam",
-    "developer": "JayHyeon",
-    "inference_platform": "unknown",
-    "id": "JayHyeon/Qwen_0.5-DPOP_1e-7-3ep_0alp_5lam",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 0.63
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.26695612087040166
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3188575312560274
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.04078549848942598
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.26677852348993286
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.32879166666666665
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.15625
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen_0.5-DPOP_1e-7-3ep_0alp_5lam/622a0ae1-0eb5-49f0-bc44-d396c7233e27.json b/data/hfopenllm_v2/JayHyeon/Qwen_0.5-DPOP_1e-7-3ep_0alp_5lam/622a0ae1-0eb5-49f0-bc44-d396c7233e27.json
new file mode 100644
index 000000000..8a1f01917
--- /dev/null
+++ b/data/hfopenllm_v2/JayHyeon/Qwen_0.5-DPOP_1e-7-3ep_0alp_5lam/622a0ae1-0eb5-49f0-bc44-d396c7233e27.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen_0.5-DPOP_1e-7-3ep_0alp_5lam/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen_0.5-DPOP_1e-7-3ep_0alp_5lam",
+    "id": "JayHyeon/Qwen_0.5-DPOP_1e-7-3ep_0alp_5lam",
+    "developer": "JayHyeon",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 0.63
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.267
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3189
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0408
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2668
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3288
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1562
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen_0.5-DPOP_3e-6-1ep_0alp_5lam/71291a41-283e-42ca-b192-7b759e3c3712.json b/data/hfopenllm_v2/JayHyeon/Qwen_0.5-DPOP_3e-6-1ep_0alp_5lam/71291a41-283e-42ca-b192-7b759e3c3712.json
new file mode 100644
index 000000000..9c3e33edf
--- /dev/null
+++ b/data/hfopenllm_v2/JayHyeon/Qwen_0.5-DPOP_3e-6-1ep_0alp_5lam/71291a41-283e-42ca-b192-7b759e3c3712.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen_0.5-DPOP_3e-6-1ep_0alp_5lam/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen_0.5-DPOP_3e-6-1ep_0alp_5lam",
+    "id": "JayHyeon/Qwen_0.5-DPOP_3e-6-1ep_0alp_5lam",
+    "developer": "JayHyeon",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2Model",
+      "params_billions": 0.494
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2481
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3261
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0438
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2601
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3368
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1565
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen_0.5-DPOP_3e-6-1ep_0alp_5lam/f78ac837-d5f4-48f1-8a9e-1549b0020160.json b/data/hfopenllm_v2/JayHyeon/Qwen_0.5-DPOP_3e-6-1ep_0alp_5lam/f78ac837-d5f4-48f1-8a9e-1549b0020160.json
deleted file mode 100644
index a8baf4c46..000000000
--- a/data/hfopenllm_v2/JayHyeon/Qwen_0.5-DPOP_3e-6-1ep_0alp_5lam/f78ac837-d5f4-48f1-8a9e-1549b0020160.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen_0.5-DPOP_3e-6-1ep_0alp_5lam/1762652579.6762261",
-  "retrieved_timestamp": "1762652579.6762261",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "JayHyeon/Qwen_0.5-DPOP_3e-6-1ep_0alp_5lam",
-    "developer": "JayHyeon",
-    "inference_platform": "unknown",
-    "id": "JayHyeon/Qwen_0.5-DPOP_3e-6-1ep_0alp_5lam",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2Model",
-      "params_billions": 0.494
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.24807178286945303
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.32608064671010917
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.04380664652567976
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2600671140939597
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3368229166666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.15649933510638298
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen_0.5-DPOP_3e-6-2ep_0alp_5lam/2ae9cee5-8f3c-4303-802f-481a03edaf9f.json b/data/hfopenllm_v2/JayHyeon/Qwen_0.5-DPOP_3e-6-2ep_0alp_5lam/2ae9cee5-8f3c-4303-802f-481a03edaf9f.json
deleted file mode 100644
index fd6f4b285..000000000
--- a/data/hfopenllm_v2/JayHyeon/Qwen_0.5-DPOP_3e-6-2ep_0alp_5lam/2ae9cee5-8f3c-4303-802f-481a03edaf9f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen_0.5-DPOP_3e-6-2ep_0alp_5lam/1762652579.67643",
-  "retrieved_timestamp": "1762652579.6764312",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "JayHyeon/Qwen_0.5-DPOP_3e-6-2ep_0alp_5lam",
-    "developer": "JayHyeon",
-    "inference_platform": "unknown",
-    "id": "JayHyeon/Qwen_0.5-DPOP_3e-6-2ep_0alp_5lam",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2Model",
-      "params_billions": 0.494
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.23832985367713222
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.32184656431310543
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.04305135951661632
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.27936241610738255
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3341875
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.15034906914893617
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen_0.5-DPOP_3e-6-2ep_0alp_5lam/7e504fef-b304-4c1a-856d-06e56a8869d7.json b/data/hfopenllm_v2/JayHyeon/Qwen_0.5-DPOP_3e-6-2ep_0alp_5lam/7e504fef-b304-4c1a-856d-06e56a8869d7.json
new file mode 100644
index 000000000..1841fefbe
--- /dev/null
+++ b/data/hfopenllm_v2/JayHyeon/Qwen_0.5-DPOP_3e-6-2ep_0alp_5lam/7e504fef-b304-4c1a-856d-06e56a8869d7.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen_0.5-DPOP_3e-6-2ep_0alp_5lam/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen_0.5-DPOP_3e-6-2ep_0alp_5lam",
+    "id": "JayHyeon/Qwen_0.5-DPOP_3e-6-2ep_0alp_5lam",
+    "developer": "JayHyeon",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2Model",
+      "params_billions": 0.494
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2383
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3218
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0431
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2794
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3342
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1503
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen_0.5-DPOP_3e-6-3ep_0alp_5lam/654b55d0-940c-43bd-9478-0bd67bb7b0d8.json b/data/hfopenllm_v2/JayHyeon/Qwen_0.5-DPOP_3e-6-3ep_0alp_5lam/654b55d0-940c-43bd-9478-0bd67bb7b0d8.json
deleted file mode 100644
index 6c45d4640..000000000
--- a/data/hfopenllm_v2/JayHyeon/Qwen_0.5-DPOP_3e-6-3ep_0alp_5lam/654b55d0-940c-43bd-9478-0bd67bb7b0d8.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen_0.5-DPOP_3e-6-3ep_0alp_5lam/1762652579.676642",
-  "retrieved_timestamp": "1762652579.6766431",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "JayHyeon/Qwen_0.5-DPOP_3e-6-3ep_0alp_5lam",
-    "developer": "JayHyeon",
-    "inference_platform": "unknown",
-    "id": "JayHyeon/Qwen_0.5-DPOP_3e-6-3ep_0alp_5lam",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 0.63
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.24714756845170813
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.32244323308961736
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.04003021148036254
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2701342281879195
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.33276041666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.15334109042553193
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen_0.5-DPOP_3e-6-3ep_0alp_5lam/f8258f5e-8826-4fe1-b9d3-61708e79d4ab.json b/data/hfopenllm_v2/JayHyeon/Qwen_0.5-DPOP_3e-6-3ep_0alp_5lam/f8258f5e-8826-4fe1-b9d3-61708e79d4ab.json
new file mode 100644
index 000000000..0f50c78cd
--- /dev/null
+++ b/data/hfopenllm_v2/JayHyeon/Qwen_0.5-DPOP_3e-6-3ep_0alp_5lam/f8258f5e-8826-4fe1-b9d3-61708e79d4ab.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen_0.5-DPOP_3e-6-3ep_0alp_5lam/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen_0.5-DPOP_3e-6-3ep_0alp_5lam",
+    "id": "JayHyeon/Qwen_0.5-DPOP_3e-6-3ep_0alp_5lam",
+    "developer": "JayHyeon",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 0.63
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2471
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3224
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.04
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2701
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3328
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1533
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen_0.5-DPOP_3e-7-1ep_0alp_5lam/099ce031-1e11-4a07-bac1-03bef9b915d6.json b/data/hfopenllm_v2/JayHyeon/Qwen_0.5-DPOP_3e-7-1ep_0alp_5lam/099ce031-1e11-4a07-bac1-03bef9b915d6.json
new file mode 100644
index 000000000..0b464aa1e
--- /dev/null
+++ b/data/hfopenllm_v2/JayHyeon/Qwen_0.5-DPOP_3e-7-1ep_0alp_5lam/099ce031-1e11-4a07-bac1-03bef9b915d6.json
@@ -0,0 +1,132 @@
+{
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+  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen_0.5-DPOP_3e-7-1ep_0alp_5lam/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen_0.5-DPOP_3e-7-1ep_0alp_5lam",
+    "id": "JayHyeon/Qwen_0.5-DPOP_3e-7-1ep_0alp_5lam",
+    "developer": "JayHyeon",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
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+      "params_billions": 0.494
+    }
+  },
+  "evaluation_results": [
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
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+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2447
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3181
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2617
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1565
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen_0.5-DPOP_3e-7-1ep_0alp_5lam/c23f1072-c7be-4eab-b866-16c6429071e4.json b/data/hfopenllm_v2/JayHyeon/Qwen_0.5-DPOP_3e-7-1ep_0alp_5lam/c23f1072-c7be-4eab-b866-16c6429071e4.json
deleted file mode 100644
index 3a7d00493..000000000
--- a/data/hfopenllm_v2/JayHyeon/Qwen_0.5-DPOP_3e-7-1ep_0alp_5lam/c23f1072-c7be-4eab-b866-16c6429071e4.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "source_data": [
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-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "JayHyeon/Qwen_0.5-DPOP_3e-7-1ep_0alp_5lam",
-    "developer": "JayHyeon",
-    "inference_platform": "unknown",
-    "id": "JayHyeon/Qwen_0.5-DPOP_3e-7-1ep_0alp_5lam",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2Model",
-      "params_billions": 0.494
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-        "lower_is_better": false,
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.334125
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-    }
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-}
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen_0.5-DPOP_3e-7-2ep_0alp_5lam/75ff25fd-e5f7-4380-b192-cbc8a8ee95aa.json b/data/hfopenllm_v2/JayHyeon/Qwen_0.5-DPOP_3e-7-2ep_0alp_5lam/75ff25fd-e5f7-4380-b192-cbc8a8ee95aa.json
new file mode 100644
index 000000000..c6cea6b5c
--- /dev/null
+++ b/data/hfopenllm_v2/JayHyeon/Qwen_0.5-DPOP_3e-7-2ep_0alp_5lam/75ff25fd-e5f7-4380-b192-cbc8a8ee95aa.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen_0.5-DPOP_3e-7-2ep_0alp_5lam/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen_0.5-DPOP_3e-7-2ep_0alp_5lam",
+    "id": "JayHyeon/Qwen_0.5-DPOP_3e-7-2ep_0alp_5lam",
+    "developer": "JayHyeon",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2Model",
+      "params_billions": 0.494
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2551
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3194
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0446
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2617
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3262
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1567
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen_0.5-DPOP_3e-7-2ep_0alp_5lam/c02ad005-8e12-46d9-8bb3-090f62c6a946.json b/data/hfopenllm_v2/JayHyeon/Qwen_0.5-DPOP_3e-7-2ep_0alp_5lam/c02ad005-8e12-46d9-8bb3-090f62c6a946.json
deleted file mode 100644
index 631dc3606..000000000
--- a/data/hfopenllm_v2/JayHyeon/Qwen_0.5-DPOP_3e-7-2ep_0alp_5lam/c02ad005-8e12-46d9-8bb3-090f62c6a946.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen_0.5-DPOP_3e-7-2ep_0alp_5lam/1762652579.677048",
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-  "source_data": [
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
-    "name": "JayHyeon/Qwen_0.5-DPOP_3e-7-2ep_0alp_5lam",
-    "developer": "JayHyeon",
-    "inference_platform": "unknown",
-    "id": "JayHyeon/Qwen_0.5-DPOP_3e-7-2ep_0alp_5lam",
-    "additional_details": {
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-      "architecture": "Qwen2Model",
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-    },
-    {
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-      },
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-    {
-      "evaluation_name": "MATH Level 5",
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-        "lower_is_better": false,
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-    },
-    {
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
-        "score": 0.26174496644295303
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-    },
-    {
-      "evaluation_name": "MUSR",
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-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.32615625
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
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-        "score": 0.1566655585106383
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen_0.5-DPOP_3e-7-3ep_0alp_5lam/cbc43c7a-d8ac-4b03-a383-703f7fa51757.json b/data/hfopenllm_v2/JayHyeon/Qwen_0.5-DPOP_3e-7-3ep_0alp_5lam/cbc43c7a-d8ac-4b03-a383-703f7fa51757.json
new file mode 100644
index 000000000..6baf33d2a
--- /dev/null
+++ b/data/hfopenllm_v2/JayHyeon/Qwen_0.5-DPOP_3e-7-3ep_0alp_5lam/cbc43c7a-d8ac-4b03-a383-703f7fa51757.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen_0.5-DPOP_3e-7-3ep_0alp_5lam/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen_0.5-DPOP_3e-7-3ep_0alp_5lam",
+    "id": "JayHyeon/Qwen_0.5-DPOP_3e-7-3ep_0alp_5lam",
+    "developer": "JayHyeon",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 0.63
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2538
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3153
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+    },
+    {
+      "evaluation_name": "MATH Level 5",
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+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
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+        "score_type": "continuous",
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+    {
+      "evaluation_name": "GPQA",
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+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2676
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3261
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1583
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen_0.5-DPOP_3e-7-3ep_0alp_5lam/e1d1dd0d-ef8e-44e1-aca1-f10c53f5aa84.json b/data/hfopenllm_v2/JayHyeon/Qwen_0.5-DPOP_3e-7-3ep_0alp_5lam/e1d1dd0d-ef8e-44e1-aca1-f10c53f5aa84.json
deleted file mode 100644
index 71a820116..000000000
--- a/data/hfopenllm_v2/JayHyeon/Qwen_0.5-DPOP_3e-7-3ep_0alp_5lam/e1d1dd0d-ef8e-44e1-aca1-f10c53f5aa84.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen_0.5-DPOP_3e-7-3ep_0alp_5lam/1762652579.677404",
-  "retrieved_timestamp": "1762652579.677407",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "JayHyeon/Qwen_0.5-DPOP_3e-7-3ep_0alp_5lam",
-    "developer": "JayHyeon",
-    "inference_platform": "unknown",
-    "id": "JayHyeon/Qwen_0.5-DPOP_3e-7-3ep_0alp_5lam",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 0.63
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.25379216035674235
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.31530652457997205
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.04154078549848943
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2676174496644295
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.326125
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1583277925531915
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen_0.5-DPOP_5e-7-1ep_0alp_5lam/02c4e0de-4a4e-44b7-bc4c-44c92ade94ec.json b/data/hfopenllm_v2/JayHyeon/Qwen_0.5-DPOP_5e-7-1ep_0alp_5lam/02c4e0de-4a4e-44b7-bc4c-44c92ade94ec.json
deleted file mode 100644
index a85c0e1d2..000000000
--- a/data/hfopenllm_v2/JayHyeon/Qwen_0.5-DPOP_5e-7-1ep_0alp_5lam/02c4e0de-4a4e-44b7-bc4c-44c92ade94ec.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen_0.5-DPOP_5e-7-1ep_0alp_5lam/1762652579.677789",
-  "retrieved_timestamp": "1762652579.67779",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "JayHyeon/Qwen_0.5-DPOP_5e-7-1ep_0alp_5lam",
-    "developer": "JayHyeon",
-    "inference_platform": "unknown",
-    "id": "JayHyeon/Qwen_0.5-DPOP_5e-7-1ep_0alp_5lam",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2Model",
-      "params_billions": 0.494
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.24022815019703275
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3168335157841944
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.0377643504531722
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.27181208053691275
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.33279166666666665
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1568317819148936
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen_0.5-DPOP_5e-7-1ep_0alp_5lam/72d7f252-1bff-40ad-9ec8-1ac2a2e02a8e.json b/data/hfopenllm_v2/JayHyeon/Qwen_0.5-DPOP_5e-7-1ep_0alp_5lam/72d7f252-1bff-40ad-9ec8-1ac2a2e02a8e.json
new file mode 100644
index 000000000..b8795c78b
--- /dev/null
+++ b/data/hfopenllm_v2/JayHyeon/Qwen_0.5-DPOP_5e-7-1ep_0alp_5lam/72d7f252-1bff-40ad-9ec8-1ac2a2e02a8e.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen_0.5-DPOP_5e-7-1ep_0alp_5lam/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen_0.5-DPOP_5e-7-1ep_0alp_5lam",
+    "id": "JayHyeon/Qwen_0.5-DPOP_5e-7-1ep_0alp_5lam",
+    "developer": "JayHyeon",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2Model",
+      "params_billions": 0.494
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2402
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3168
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0378
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2718
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3328
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1568
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen_0.5-DPOP_5e-7-2ep_0alp_5lam/4e38a2db-c67e-4f2a-84a0-f9afa7d32bd5.json b/data/hfopenllm_v2/JayHyeon/Qwen_0.5-DPOP_5e-7-2ep_0alp_5lam/4e38a2db-c67e-4f2a-84a0-f9afa7d32bd5.json
deleted file mode 100644
index 41cf247f3..000000000
--- a/data/hfopenllm_v2/JayHyeon/Qwen_0.5-DPOP_5e-7-2ep_0alp_5lam/4e38a2db-c67e-4f2a-84a0-f9afa7d32bd5.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen_0.5-DPOP_5e-7-2ep_0alp_5lam/1762652579.678058",
-  "retrieved_timestamp": "1762652579.67806",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "JayHyeon/Qwen_0.5-DPOP_5e-7-2ep_0alp_5lam",
-    "developer": "JayHyeon",
-    "inference_platform": "unknown",
-    "id": "JayHyeon/Qwen_0.5-DPOP_5e-7-2ep_0alp_5lam",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2Model",
-      "params_billions": 0.494
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.24839647690350491
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3210570160312575
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.04380664652567976
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2701342281879195
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3288229166666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1573304521276596
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen_0.5-DPOP_5e-7-2ep_0alp_5lam/5eb10878-11e6-43ad-9bb5-658a3495129c.json b/data/hfopenllm_v2/JayHyeon/Qwen_0.5-DPOP_5e-7-2ep_0alp_5lam/5eb10878-11e6-43ad-9bb5-658a3495129c.json
new file mode 100644
index 000000000..6f4423d45
--- /dev/null
+++ b/data/hfopenllm_v2/JayHyeon/Qwen_0.5-DPOP_5e-7-2ep_0alp_5lam/5eb10878-11e6-43ad-9bb5-658a3495129c.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen_0.5-DPOP_5e-7-2ep_0alp_5lam/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen_0.5-DPOP_5e-7-2ep_0alp_5lam",
+    "id": "JayHyeon/Qwen_0.5-DPOP_5e-7-2ep_0alp_5lam",
+    "developer": "JayHyeon",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2Model",
+      "params_billions": 0.494
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2484
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3211
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0438
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2701
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3288
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1573
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen_0.5-DPOP_5e-7-3ep_0alp_5lam/23b29cd4-cfd0-49f1-8959-c3aa8be9722f.json b/data/hfopenllm_v2/JayHyeon/Qwen_0.5-DPOP_5e-7-3ep_0alp_5lam/23b29cd4-cfd0-49f1-8959-c3aa8be9722f.json
new file mode 100644
index 000000000..e97c3a4f4
--- /dev/null
+++ b/data/hfopenllm_v2/JayHyeon/Qwen_0.5-DPOP_5e-7-3ep_0alp_5lam/23b29cd4-cfd0-49f1-8959-c3aa8be9722f.json
@@ -0,0 +1,132 @@
+{
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+  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen_0.5-DPOP_5e-7-3ep_0alp_5lam/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen_0.5-DPOP_5e-7-3ep_0alp_5lam",
+    "id": "JayHyeon/Qwen_0.5-DPOP_5e-7-3ep_0alp_5lam",
+    "developer": "JayHyeon",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 0.63
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2578
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3203
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.271
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3289
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1583
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen_0.5-DPOP_5e-7-3ep_0alp_5lam/77255cfb-3e18-4a3b-98a8-b0072aacb669.json b/data/hfopenllm_v2/JayHyeon/Qwen_0.5-DPOP_5e-7-3ep_0alp_5lam/77255cfb-3e18-4a3b-98a8-b0072aacb669.json
deleted file mode 100644
index 287c9a1f3..000000000
--- a/data/hfopenllm_v2/JayHyeon/Qwen_0.5-DPOP_5e-7-3ep_0alp_5lam/77255cfb-3e18-4a3b-98a8-b0072aacb669.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen_0.5-DPOP_5e-7-3ep_0alp_5lam/1762652579.6783109",
-  "retrieved_timestamp": "1762652579.6783118",
-  "source_data": [
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-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "JayHyeon/Qwen_0.5-DPOP_5e-7-3ep_0alp_5lam",
-    "developer": "JayHyeon",
-    "inference_platform": "unknown",
-    "id": "JayHyeon/Qwen_0.5-DPOP_5e-7-3ep_0alp_5lam",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 0.63
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
-        "score": 0.25781371206177384
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-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
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-        "max_score": 1
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-        "lower_is_better": false,
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.32885416666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1583277925531915
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen_0.5-DPO_1e-6-3ep_0alp_0lam/03db2532-f8e0-41e9-ac0c-ff2913f4b12a.json b/data/hfopenllm_v2/JayHyeon/Qwen_0.5-DPO_1e-6-3ep_0alp_0lam/03db2532-f8e0-41e9-ac0c-ff2913f4b12a.json
new file mode 100644
index 000000000..5542366cc
--- /dev/null
+++ b/data/hfopenllm_v2/JayHyeon/Qwen_0.5-DPO_1e-6-3ep_0alp_0lam/03db2532-f8e0-41e9-ac0c-ff2913f4b12a.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen_0.5-DPO_1e-6-3ep_0alp_0lam/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen_0.5-DPO_1e-6-3ep_0alp_0lam",
+    "id": "JayHyeon/Qwen_0.5-DPO_1e-6-3ep_0alp_0lam",
+    "developer": "JayHyeon",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 0.63
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2316
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3258
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0529
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2693
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3221
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.158
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen_0.5-DPO_1e-6-3ep_0alp_0lam/be9afede-e624-43e6-99dd-52e0d2b413ac.json b/data/hfopenllm_v2/JayHyeon/Qwen_0.5-DPO_1e-6-3ep_0alp_0lam/be9afede-e624-43e6-99dd-52e0d2b413ac.json
deleted file mode 100644
index af7e2179f..000000000
--- a/data/hfopenllm_v2/JayHyeon/Qwen_0.5-DPO_1e-6-3ep_0alp_0lam/be9afede-e624-43e6-99dd-52e0d2b413ac.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen_0.5-DPO_1e-6-3ep_0alp_0lam/1762652579.678605",
-  "retrieved_timestamp": "1762652579.678606",
-  "source_data": [
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "JayHyeon/Qwen_0.5-DPO_1e-6-3ep_0alp_0lam",
-    "developer": "JayHyeon",
-    "inference_platform": "unknown",
-    "id": "JayHyeon/Qwen_0.5-DPO_1e-6-3ep_0alp_0lam",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 0.63
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-  },
-  "evaluation_results": [
-    {
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-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.23163539408768735
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3258499805340021
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.26929530201342283
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.322125
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.15799534574468085
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen_0.5-DPO_1e-7-3ep_0alp_0lam/273f0d50-aa4e-4469-8360-2ce0a2e1a850.json b/data/hfopenllm_v2/JayHyeon/Qwen_0.5-DPO_1e-7-3ep_0alp_0lam/273f0d50-aa4e-4469-8360-2ce0a2e1a850.json
new file mode 100644
index 000000000..fcfa337b4
--- /dev/null
+++ b/data/hfopenllm_v2/JayHyeon/Qwen_0.5-DPO_1e-7-3ep_0alp_0lam/273f0d50-aa4e-4469-8360-2ce0a2e1a850.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen_0.5-DPO_1e-7-3ep_0alp_0lam/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen_0.5-DPO_1e-7-3ep_0alp_0lam",
+    "id": "JayHyeon/Qwen_0.5-DPO_1e-7-3ep_0alp_0lam",
+    "developer": "JayHyeon",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 0.63
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.236
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+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3225
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+    },
+    {
+      "evaluation_name": "MATH Level 5",
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
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+        "score_type": "continuous",
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+      },
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+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.271
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+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3222
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1596
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen_0.5-DPO_1e-7-3ep_0alp_0lam/9632892a-a6b2-4f17-827e-bfef9a712985.json b/data/hfopenllm_v2/JayHyeon/Qwen_0.5-DPO_1e-7-3ep_0alp_0lam/9632892a-a6b2-4f17-827e-bfef9a712985.json
deleted file mode 100644
index f8fea8c74..000000000
--- a/data/hfopenllm_v2/JayHyeon/Qwen_0.5-DPO_1e-7-3ep_0alp_0lam/9632892a-a6b2-4f17-827e-bfef9a712985.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen_0.5-DPO_1e-7-3ep_0alp_0lam/1762652579.678855",
-  "retrieved_timestamp": "1762652579.678856",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "JayHyeon/Qwen_0.5-DPO_1e-7-3ep_0alp_0lam",
-    "developer": "JayHyeon",
-    "inference_platform": "unknown",
-    "id": "JayHyeon/Qwen_0.5-DPO_1e-7-3ep_0alp_0lam",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 0.63
-    }
-  },
-  "evaluation_results": [
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-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.23598163982677073
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
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-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2709731543624161
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.32221875
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1595744680851064
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen_0.5-DPO_3e-6-1ep_0alp_0lam/79a48e79-d59b-4f86-a8f4-3af174a9ee0b.json b/data/hfopenllm_v2/JayHyeon/Qwen_0.5-DPO_3e-6-1ep_0alp_0lam/79a48e79-d59b-4f86-a8f4-3af174a9ee0b.json
new file mode 100644
index 000000000..8cad12a77
--- /dev/null
+++ b/data/hfopenllm_v2/JayHyeon/Qwen_0.5-DPO_3e-6-1ep_0alp_0lam/79a48e79-d59b-4f86-a8f4-3af174a9ee0b.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen_0.5-DPO_3e-6-1ep_0alp_0lam/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen_0.5-DPO_3e-6-1ep_0alp_0lam",
+    "id": "JayHyeon/Qwen_0.5-DPO_3e-6-1ep_0alp_0lam",
+    "developer": "JayHyeon",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2Model",
+      "params_billions": 0.494
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2337
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3132
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0347
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2609
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3235
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1533
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen_0.5-DPO_3e-6-1ep_0alp_0lam/a690910a-388f-4a51-98a2-fc1e1bb327e2.json b/data/hfopenllm_v2/JayHyeon/Qwen_0.5-DPO_3e-6-1ep_0alp_0lam/a690910a-388f-4a51-98a2-fc1e1bb327e2.json
deleted file mode 100644
index db9bddc76..000000000
--- a/data/hfopenllm_v2/JayHyeon/Qwen_0.5-DPO_3e-6-1ep_0alp_0lam/a690910a-388f-4a51-98a2-fc1e1bb327e2.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen_0.5-DPO_3e-6-1ep_0alp_0lam/1762652579.679086",
-  "retrieved_timestamp": "1762652579.679086",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "JayHyeon/Qwen_0.5-DPO_3e-6-1ep_0alp_0lam",
-    "developer": "JayHyeon",
-    "inference_platform": "unknown",
-    "id": "JayHyeon/Qwen_0.5-DPO_3e-6-1ep_0alp_0lam",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2Model",
-      "params_billions": 0.494
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-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.23370878158840763
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3132229900705577
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-    },
-    {
-      "evaluation_name": "GPQA",
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-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.15325797872340424
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen_0.5-DPO_3e-6-2ep_0alp_0lam/8c8eafcc-bb0f-4483-93ff-1379158a5d10.json b/data/hfopenllm_v2/JayHyeon/Qwen_0.5-DPO_3e-6-2ep_0alp_0lam/8c8eafcc-bb0f-4483-93ff-1379158a5d10.json
deleted file mode 100644
index c6f9f4643..000000000
--- a/data/hfopenllm_v2/JayHyeon/Qwen_0.5-DPO_3e-6-2ep_0alp_0lam/8c8eafcc-bb0f-4483-93ff-1379158a5d10.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen_0.5-DPO_3e-6-2ep_0alp_0lam/1762652579.6792939",
-  "retrieved_timestamp": "1762652579.679295",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
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-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "JayHyeon/Qwen_0.5-DPO_3e-6-2ep_0alp_0lam",
-    "developer": "JayHyeon",
-    "inference_platform": "unknown",
-    "id": "JayHyeon/Qwen_0.5-DPO_3e-6-2ep_0alp_0lam",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2Model",
-      "params_billions": 0.494
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-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-    {
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-        "max_score": 1
-      },
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-    {
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-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
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-        "score_type": "continuous",
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-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
-        "score": 0.15649933510638298
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-}
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen_0.5-DPO_3e-6-2ep_0alp_0lam/9da9a0e6-257a-41f6-b3a3-e3279a4924db.json b/data/hfopenllm_v2/JayHyeon/Qwen_0.5-DPO_3e-6-2ep_0alp_0lam/9da9a0e6-257a-41f6-b3a3-e3279a4924db.json
new file mode 100644
index 000000000..8fcff6407
--- /dev/null
+++ b/data/hfopenllm_v2/JayHyeon/Qwen_0.5-DPO_3e-6-2ep_0alp_0lam/9da9a0e6-257a-41f6-b3a3-e3279a4924db.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen_0.5-DPO_3e-6-2ep_0alp_0lam/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen_0.5-DPO_3e-6-2ep_0alp_0lam",
+    "id": "JayHyeon/Qwen_0.5-DPO_3e-6-2ep_0alp_0lam",
+    "developer": "JayHyeon",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2Model",
+      "params_billions": 0.494
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2569
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+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3276
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+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+      "score_details": {
+        "score": 0.0544
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+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2718
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+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3156
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+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1565
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen_0.5-DPO_3e-6-3ep_0alp_0lam/6c009b93-145d-4630-bda1-fb24bf764e7a.json b/data/hfopenllm_v2/JayHyeon/Qwen_0.5-DPO_3e-6-3ep_0alp_0lam/6c009b93-145d-4630-bda1-fb24bf764e7a.json
deleted file mode 100644
index 0fdee1f86..000000000
--- a/data/hfopenllm_v2/JayHyeon/Qwen_0.5-DPO_3e-6-3ep_0alp_0lam/6c009b93-145d-4630-bda1-fb24bf764e7a.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen_0.5-DPO_3e-6-3ep_0alp_0lam/1762652579.679507",
-  "retrieved_timestamp": "1762652579.679507",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "JayHyeon/Qwen_0.5-DPO_3e-6-3ep_0alp_0lam",
-    "developer": "JayHyeon",
-    "inference_platform": "unknown",
-    "id": "JayHyeon/Qwen_0.5-DPO_3e-6-3ep_0alp_0lam",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 0.63
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.24599839536873275
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.32674094707635526
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.04305135951661632
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2684563758389262
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3209166666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.15433843085106383
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen_0.5-DPO_3e-6-3ep_0alp_0lam/dfed058c-48b2-4e1e-9a29-624771e3e9dd.json b/data/hfopenllm_v2/JayHyeon/Qwen_0.5-DPO_3e-6-3ep_0alp_0lam/dfed058c-48b2-4e1e-9a29-624771e3e9dd.json
new file mode 100644
index 000000000..1408d7de5
--- /dev/null
+++ b/data/hfopenllm_v2/JayHyeon/Qwen_0.5-DPO_3e-6-3ep_0alp_0lam/dfed058c-48b2-4e1e-9a29-624771e3e9dd.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen_0.5-DPO_3e-6-3ep_0alp_0lam/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen_0.5-DPO_3e-6-3ep_0alp_0lam",
+    "id": "JayHyeon/Qwen_0.5-DPO_3e-6-3ep_0alp_0lam",
+    "developer": "JayHyeon",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 0.63
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.246
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3267
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0431
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2685
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3209
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1543
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen_0.5-DPO_3e-7-1ep_0alp_0lam/1b4ccc58-920c-4089-b8ca-af3c71c5c3be.json b/data/hfopenllm_v2/JayHyeon/Qwen_0.5-DPO_3e-7-1ep_0alp_0lam/1b4ccc58-920c-4089-b8ca-af3c71c5c3be.json
deleted file mode 100644
index 9d40d91e6..000000000
--- a/data/hfopenllm_v2/JayHyeon/Qwen_0.5-DPO_3e-7-1ep_0alp_0lam/1b4ccc58-920c-4089-b8ca-af3c71c5c3be.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen_0.5-DPO_3e-7-1ep_0alp_0lam/1762652579.679712",
-  "retrieved_timestamp": "1762652579.679712",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "JayHyeon/Qwen_0.5-DPO_3e-7-1ep_0alp_0lam",
-    "developer": "JayHyeon",
-    "inference_platform": "unknown",
-    "id": "JayHyeon/Qwen_0.5-DPO_3e-7-1ep_0alp_0lam",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2Model",
-      "params_billions": 0.494
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2529178136234081
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.32292563083414066
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.05513595166163142
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2676174496644295
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3195208333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.15965757978723405
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen_0.5-DPO_3e-7-1ep_0alp_0lam/bcb53a8a-1670-400c-aab6-bd8ed2ebcdf4.json b/data/hfopenllm_v2/JayHyeon/Qwen_0.5-DPO_3e-7-1ep_0alp_0lam/bcb53a8a-1670-400c-aab6-bd8ed2ebcdf4.json
new file mode 100644
index 000000000..2ee2160cf
--- /dev/null
+++ b/data/hfopenllm_v2/JayHyeon/Qwen_0.5-DPO_3e-7-1ep_0alp_0lam/bcb53a8a-1670-400c-aab6-bd8ed2ebcdf4.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen_0.5-DPO_3e-7-1ep_0alp_0lam/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen_0.5-DPO_3e-7-1ep_0alp_0lam",
+    "id": "JayHyeon/Qwen_0.5-DPO_3e-7-1ep_0alp_0lam",
+    "developer": "JayHyeon",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2Model",
+      "params_billions": 0.494
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2529
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3229
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0551
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2676
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3195
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1597
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen_0.5-DPO_3e-7-2ep_0alp_0lam/4d278257-d64b-4da7-bcd6-0d3fbee80dd8.json b/data/hfopenllm_v2/JayHyeon/Qwen_0.5-DPO_3e-7-2ep_0alp_0lam/4d278257-d64b-4da7-bcd6-0d3fbee80dd8.json
deleted file mode 100644
index f9da2a839..000000000
--- a/data/hfopenllm_v2/JayHyeon/Qwen_0.5-DPO_3e-7-2ep_0alp_0lam/4d278257-d64b-4da7-bcd6-0d3fbee80dd8.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen_0.5-DPO_3e-7-2ep_0alp_0lam/1762652579.6799219",
-  "retrieved_timestamp": "1762652579.679923",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "JayHyeon/Qwen_0.5-DPO_3e-7-2ep_0alp_0lam",
-    "developer": "JayHyeon",
-    "inference_platform": "unknown",
-    "id": "JayHyeon/Qwen_0.5-DPO_3e-7-2ep_0alp_0lam",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2Model",
-      "params_billions": 0.494
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.25046986440422525
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3255735108237258
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.04758308157099698
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.27181208053691275
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3194895833333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
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-}
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen_0.5-DPO_3e-7-2ep_0alp_0lam/8438a108-0d5d-48b6-b73a-981d13329daa.json b/data/hfopenllm_v2/JayHyeon/Qwen_0.5-DPO_3e-7-2ep_0alp_0lam/8438a108-0d5d-48b6-b73a-981d13329daa.json
new file mode 100644
index 000000000..404b429a1
--- /dev/null
+++ b/data/hfopenllm_v2/JayHyeon/Qwen_0.5-DPO_3e-7-2ep_0alp_0lam/8438a108-0d5d-48b6-b73a-981d13329daa.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen_0.5-DPO_3e-7-2ep_0alp_0lam/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen_0.5-DPO_3e-7-2ep_0alp_0lam",
+    "id": "JayHyeon/Qwen_0.5-DPO_3e-7-2ep_0alp_0lam",
+    "developer": "JayHyeon",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2Model",
+      "params_billions": 0.494
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2505
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3256
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0476
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2718
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3195
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1599
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen_0.5-DPO_3e-7-3ep_0alp_0lam/3650d718-e20a-4310-a248-3897f7713e93.json b/data/hfopenllm_v2/JayHyeon/Qwen_0.5-DPO_3e-7-3ep_0alp_0lam/3650d718-e20a-4310-a248-3897f7713e93.json
deleted file mode 100644
index f0cff3589..000000000
--- a/data/hfopenllm_v2/JayHyeon/Qwen_0.5-DPO_3e-7-3ep_0alp_0lam/3650d718-e20a-4310-a248-3897f7713e93.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen_0.5-DPO_3e-7-3ep_0alp_0lam/1762652579.680135",
-  "retrieved_timestamp": "1762652579.680136",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "JayHyeon/Qwen_0.5-DPO_3e-7-3ep_0alp_0lam",
-    "developer": "JayHyeon",
-    "inference_platform": "unknown",
-    "id": "JayHyeon/Qwen_0.5-DPO_3e-7-3ep_0alp_0lam",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 0.63
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2387044153955948
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3258394284267221
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.0445619335347432
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.27432885906040266
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.31685416666666666
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1589095744680851
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen_0.5-DPO_3e-7-3ep_0alp_0lam/88616292-1e38-4481-af30-6b60e28fb097.json b/data/hfopenllm_v2/JayHyeon/Qwen_0.5-DPO_3e-7-3ep_0alp_0lam/88616292-1e38-4481-af30-6b60e28fb097.json
new file mode 100644
index 000000000..6805ba8e2
--- /dev/null
+++ b/data/hfopenllm_v2/JayHyeon/Qwen_0.5-DPO_3e-7-3ep_0alp_0lam/88616292-1e38-4481-af30-6b60e28fb097.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen_0.5-DPO_3e-7-3ep_0alp_0lam/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen_0.5-DPO_3e-7-3ep_0alp_0lam",
+    "id": "JayHyeon/Qwen_0.5-DPO_3e-7-3ep_0alp_0lam",
+    "developer": "JayHyeon",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 0.63
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2387
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3258
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0446
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2743
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3169
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1589
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen_0.5-DPO_5e-7-1ep_0alp_0lam/44094907-0b09-4706-a117-116a7e10a6e5.json b/data/hfopenllm_v2/JayHyeon/Qwen_0.5-DPO_5e-7-1ep_0alp_0lam/44094907-0b09-4706-a117-116a7e10a6e5.json
new file mode 100644
index 000000000..7ed0e9876
--- /dev/null
+++ b/data/hfopenllm_v2/JayHyeon/Qwen_0.5-DPO_5e-7-1ep_0alp_0lam/44094907-0b09-4706-a117-116a7e10a6e5.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen_0.5-DPO_5e-7-1ep_0alp_0lam/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen_0.5-DPO_5e-7-1ep_0alp_0lam",
+    "id": "JayHyeon/Qwen_0.5-DPO_5e-7-1ep_0alp_0lam",
+    "developer": "JayHyeon",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 0.63
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2532
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3218
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0634
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2685
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3209
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1593
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen_0.5-DPO_5e-7-1ep_0alp_0lam/6e224cd8-7f12-42a0-968e-311450d24e58.json b/data/hfopenllm_v2/JayHyeon/Qwen_0.5-DPO_5e-7-1ep_0alp_0lam/6e224cd8-7f12-42a0-968e-311450d24e58.json
deleted file mode 100644
index 1666b5689..000000000
--- a/data/hfopenllm_v2/JayHyeon/Qwen_0.5-DPO_5e-7-1ep_0alp_0lam/6e224cd8-7f12-42a0-968e-311450d24e58.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen_0.5-DPO_5e-7-1ep_0alp_0lam/1762652579.6803432",
-  "retrieved_timestamp": "1762652579.6803432",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "JayHyeon/Qwen_0.5-DPO_5e-7-1ep_0alp_0lam",
-    "developer": "JayHyeon",
-    "inference_platform": "unknown",
-    "id": "JayHyeon/Qwen_0.5-DPO_5e-7-1ep_0alp_0lam",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 0.63
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.25324250765746
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.32182747858122923
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.0634441087613293
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2684563758389262
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
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diff --git a/data/hfopenllm_v2/JayHyeon/Qwen_0.5-DPO_5e-7-2ep_0alp_0lam/1f17dbf3-f498-41cb-8ec0-5dabb2d9655e.json b/data/hfopenllm_v2/JayHyeon/Qwen_0.5-DPO_5e-7-2ep_0alp_0lam/1f17dbf3-f498-41cb-8ec0-5dabb2d9655e.json
deleted file mode 100644
index a9ded6222..000000000
--- a/data/hfopenllm_v2/JayHyeon/Qwen_0.5-DPO_5e-7-2ep_0alp_0lam/1f17dbf3-f498-41cb-8ec0-5dabb2d9655e.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "source_data": [
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
-    "name": "JayHyeon/Qwen_0.5-DPO_5e-7-2ep_0alp_0lam",
-    "developer": "JayHyeon",
-    "inference_platform": "unknown",
-    "id": "JayHyeon/Qwen_0.5-DPO_5e-7-2ep_0alp_0lam",
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-        "lower_is_better": false,
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-        "min_score": 0,
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-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-    {
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-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
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diff --git a/data/hfopenllm_v2/JayHyeon/Qwen_0.5-DPO_5e-7-2ep_0alp_0lam/d19e8078-87e9-4760-9b91-6b5f478820e1.json b/data/hfopenllm_v2/JayHyeon/Qwen_0.5-DPO_5e-7-2ep_0alp_0lam/d19e8078-87e9-4760-9b91-6b5f478820e1.json
new file mode 100644
index 000000000..97e1295f7
--- /dev/null
+++ b/data/hfopenllm_v2/JayHyeon/Qwen_0.5-DPO_5e-7-2ep_0alp_0lam/d19e8078-87e9-4760-9b91-6b5f478820e1.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen_0.5-DPO_5e-7-2ep_0alp_0lam/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen_0.5-DPO_5e-7-2ep_0alp_0lam",
+    "id": "JayHyeon/Qwen_0.5-DPO_5e-7-2ep_0alp_0lam",
+    "developer": "JayHyeon",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2Model",
+      "params_billions": 0.494
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2456
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3299
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0536
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.271
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3181
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1602
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen_0.5-DPO_5e-7-3ep_0alp_0lam/896464f1-01bc-4370-8d90-3368323b2908.json b/data/hfopenllm_v2/JayHyeon/Qwen_0.5-DPO_5e-7-3ep_0alp_0lam/896464f1-01bc-4370-8d90-3368323b2908.json
new file mode 100644
index 000000000..b8bf7d1e7
--- /dev/null
+++ b/data/hfopenllm_v2/JayHyeon/Qwen_0.5-DPO_5e-7-3ep_0alp_0lam/896464f1-01bc-4370-8d90-3368323b2908.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen_0.5-DPO_5e-7-3ep_0alp_0lam/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen_0.5-DPO_5e-7-3ep_0alp_0lam",
+    "id": "JayHyeon/Qwen_0.5-DPO_5e-7-3ep_0alp_0lam",
+    "developer": "JayHyeon",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 0.63
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2423
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3271
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0514
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2743
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3181
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1595
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen_0.5-DPO_5e-7-3ep_0alp_0lam/c5829ba8-e45c-4242-b308-9455f832cb58.json b/data/hfopenllm_v2/JayHyeon/Qwen_0.5-DPO_5e-7-3ep_0alp_0lam/c5829ba8-e45c-4242-b308-9455f832cb58.json
deleted file mode 100644
index 639e6ec92..000000000
--- a/data/hfopenllm_v2/JayHyeon/Qwen_0.5-DPO_5e-7-3ep_0alp_0lam/c5829ba8-e45c-4242-b308-9455f832cb58.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen_0.5-DPO_5e-7-3ep_0alp_0lam/1762652579.680775",
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-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "JayHyeon/Qwen_0.5-DPO_5e-7-3ep_0alp_0lam",
-    "developer": "JayHyeon",
-    "inference_platform": "unknown",
-    "id": "JayHyeon/Qwen_0.5-DPO_5e-7-3ep_0alp_0lam",
-    "additional_details": {
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-        "lower_is_better": false,
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-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.24225167001334236
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.27432885906040266
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-    },
-    {
-      "evaluation_name": "MUSR",
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.318125
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen_0.5-IPO_5e-7-1ep_0alp_0lam/9889f0b9-9051-485c-bd44-32b1e56b865c.json b/data/hfopenllm_v2/JayHyeon/Qwen_0.5-IPO_5e-7-1ep_0alp_0lam/9889f0b9-9051-485c-bd44-32b1e56b865c.json
new file mode 100644
index 000000000..71c059874
--- /dev/null
+++ b/data/hfopenllm_v2/JayHyeon/Qwen_0.5-IPO_5e-7-1ep_0alp_0lam/9889f0b9-9051-485c-bd44-32b1e56b865c.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/JayHyeon_Qwen_0.5-IPO_5e-7-1ep_0alp_0lam/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen_0.5-IPO_5e-7-1ep_0alp_0lam",
+    "id": "JayHyeon/Qwen_0.5-IPO_5e-7-1ep_0alp_0lam",
+    "developer": "JayHyeon",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 0.63
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2574
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3279
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0559
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2693
+      }
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new file mode 100644
index 000000000..04b6f52a6
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new file mode 100644
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new file mode 100644
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diff --git a/data/hfopenllm_v2/JayHyeon/Qwen_0.5-IRPO_3e-6-1ep_1alp_0lam/40831e23-0a9e-4bdc-a365-9399b6b82ff9.json b/data/hfopenllm_v2/JayHyeon/Qwen_0.5-IRPO_3e-6-1ep_1alp_0lam/40831e23-0a9e-4bdc-a365-9399b6b82ff9.json
new file mode 100644
index 000000000..69728b3a1
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen_0.5-IRPO_3e-6-2ep_1alp_0lam/4a60fa82-34dc-4b0c-9102-65adac5039e4.json b/data/hfopenllm_v2/JayHyeon/Qwen_0.5-IRPO_3e-6-2ep_1alp_0lam/4a60fa82-34dc-4b0c-9102-65adac5039e4.json
new file mode 100644
index 000000000..0bf9d0574
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new file mode 100644
index 000000000..493b1d463
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new file mode 100644
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new file mode 100644
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new file mode 100644
index 000000000..2d9b9aac9
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diff --git a/data/hfopenllm_v2/JayHyeon/Qwen_0.5-IRPO_5e-7-2ep_1alp_0lam/70ea520c-3e0c-4412-9dbe-40a00801335c.json b/data/hfopenllm_v2/JayHyeon/Qwen_0.5-IRPO_5e-7-2ep_1alp_0lam/70ea520c-3e0c-4412-9dbe-40a00801335c.json
new file mode 100644
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new file mode 100644
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diff --git a/data/hfopenllm_v2/JayHyeon/Qwen_0.5-MDPO_0.1_3e-6-3ep_0alp_0lam/3b39a8f0-c5ba-4f74-9d27-bf5b389e038c.json b/data/hfopenllm_v2/JayHyeon/Qwen_0.5-MDPO_0.1_3e-6-3ep_0alp_0lam/3b39a8f0-c5ba-4f74-9d27-bf5b389e038c.json
new file mode 100644
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diff --git a/data/hfopenllm_v2/JayHyeon/Qwen_0.5-MDPO_0.1_5e-7-3ep_0alp_0lam/702a14d5-a7fd-4926-ab26-e4c3b7f5eda7.json b/data/hfopenllm_v2/JayHyeon/Qwen_0.5-MDPO_0.1_5e-7-3ep_0alp_0lam/702a14d5-a7fd-4926-ab26-e4c3b7f5eda7.json
new file mode 100644
index 000000000..ed6db3b8d
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diff --git a/data/hfopenllm_v2/JayHyeon/Qwen_0.5-MDPO_0.3_3e-6-3ep_0alp_0lam/20e5d087-7b20-4a39-81da-7334354b61f0.json b/data/hfopenllm_v2/JayHyeon/Qwen_0.5-MDPO_0.3_3e-6-3ep_0alp_0lam/20e5d087-7b20-4a39-81da-7334354b61f0.json
new file mode 100644
index 000000000..2b13ae37e
--- /dev/null
+++ b/data/hfopenllm_v2/JayHyeon/Qwen_0.5-MDPO_0.3_3e-6-3ep_0alp_0lam/20e5d087-7b20-4a39-81da-7334354b61f0.json
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new file mode 100644
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new file mode 100644
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new file mode 100644
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diff --git a/data/hfopenllm_v2/JayHyeon/Qwen_0.5-MDPO_0.5_3e-7-2ep_0alp_0lam/776fd8d8-9846-4359-97d4-2340425d1315.json b/data/hfopenllm_v2/JayHyeon/Qwen_0.5-MDPO_0.5_3e-7-2ep_0alp_0lam/776fd8d8-9846-4359-97d4-2340425d1315.json
new file mode 100644
index 000000000..9a8c26353
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new file mode 100644
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new file mode 100644
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new file mode 100644
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diff --git a/data/hfopenllm_v2/JayHyeon/Qwen_0.5-MDPO_0.5_7e-6-3ep_0alp_0lam/304d5bee-df2d-40fc-b4a0-e3d99178f4bd.json b/data/hfopenllm_v2/JayHyeon/Qwen_0.5-MDPO_0.5_7e-6-3ep_0alp_0lam/304d5bee-df2d-40fc-b4a0-e3d99178f4bd.json
new file mode 100644
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diff --git a/data/hfopenllm_v2/JayHyeon/Qwen_0.5-MDPO_0.5_7e-7-3ep_0alp_0lam/6126d30d-e2dd-4b8b-9cb3-acdc76084bbb.json b/data/hfopenllm_v2/JayHyeon/Qwen_0.5-MDPO_0.5_7e-7-3ep_0alp_0lam/6126d30d-e2dd-4b8b-9cb3-acdc76084bbb.json
new file mode 100644
index 000000000..19c99bb89
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new file mode 100644
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new file mode 100644
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new file mode 100644
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new file mode 100644
index 000000000..070354a8d
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new file mode 100644
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new file mode 100644
index 000000000..7ac21a2a4
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diff --git a/data/hfopenllm_v2/JayHyeon/Qwen_0.5-VDPO_5e-7-1ep_1vpo_const/265655c0-2ead-4dd7-8c7e-4bee69d51bce.json b/data/hfopenllm_v2/JayHyeon/Qwen_0.5-VDPO_5e-7-1ep_1vpo_const/265655c0-2ead-4dd7-8c7e-4bee69d51bce.json
new file mode 100644
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diff --git a/data/hfopenllm_v2/JayHyeon/Qwen_0.5-VDPO_5e-7-1ep_3vpo_const/645cae82-9e7b-4d1b-b944-e3783089c1c1.json b/data/hfopenllm_v2/JayHyeon/Qwen_0.5-VDPO_5e-7-1ep_3vpo_const/645cae82-9e7b-4d1b-b944-e3783089c1c1.json
new file mode 100644
index 000000000..f0b7804e2
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen_0.5-VDPO_5e-7-3ep_0alp_0lam/ab658117-7c6b-428f-8f60-bf88a1d8a5bc.json b/data/hfopenllm_v2/JayHyeon/Qwen_0.5-VDPO_5e-7-3ep_0alp_0lam/ab658117-7c6b-428f-8f60-bf88a1d8a5bc.json
new file mode 100644
index 000000000..a26877761
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new file mode 100644
index 000000000..5b2d375d1
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diff --git a/data/hfopenllm_v2/JayHyeon/Qwen_0.5-VDPO_5e-7-3ep_3vpo_const/ce7e3a31-c65b-4521-b685-fcbd067c75d9.json b/data/hfopenllm_v2/JayHyeon/Qwen_0.5-VDPO_5e-7-3ep_3vpo_const/ce7e3a31-c65b-4521-b685-fcbd067c75d9.json
new file mode 100644
index 000000000..271b74801
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen_0.5-VIPO_5e-7-1ep_0alp_0lam/adb53e2c-5dee-4840-8eae-e0186c6e103f.json b/data/hfopenllm_v2/JayHyeon/Qwen_0.5-VIPO_5e-7-1ep_0alp_0lam/adb53e2c-5dee-4840-8eae-e0186c6e103f.json
new file mode 100644
index 000000000..67643af45
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen_0.5-VIPO_5e-7-1ep_10vpo_const/ba89563d-f53a-4bf0-91e1-92ac950523d8.json b/data/hfopenllm_v2/JayHyeon/Qwen_0.5-VIPO_5e-7-1ep_10vpo_const/ba89563d-f53a-4bf0-91e1-92ac950523d8.json
new file mode 100644
index 000000000..fc2edfe9a
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diff --git a/data/hfopenllm_v2/JayHyeon/Qwen_0.5-VIPO_5e-7-1ep_1vpo_const/3fc0ad8d-4bb2-401a-9baf-b94b39b7e1aa.json b/data/hfopenllm_v2/JayHyeon/Qwen_0.5-VIPO_5e-7-1ep_1vpo_const/3fc0ad8d-4bb2-401a-9baf-b94b39b7e1aa.json
new file mode 100644
index 000000000..21e635518
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen_0.5-VIPO_5e-7-1ep_30vpo_const/ed816bcb-bbe9-48ae-a6ac-3603779a985f.json b/data/hfopenllm_v2/JayHyeon/Qwen_0.5-VIPO_5e-7-1ep_30vpo_const/ed816bcb-bbe9-48ae-a6ac-3603779a985f.json
new file mode 100644
index 000000000..a5f23395a
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen_0.5-VIPO_5e-7-1ep_3vpo_const/f347ed24-066a-4cba-8478-f03628cb2b5b.json b/data/hfopenllm_v2/JayHyeon/Qwen_0.5-VIPO_5e-7-1ep_3vpo_const/f347ed24-066a-4cba-8478-f03628cb2b5b.json
new file mode 100644
index 000000000..1a374d513
--- /dev/null
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@@ -0,0 +1,132 @@
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen_0.5-VIPO_5e-7-3ep_0alp_0lam/ffddfea0-d17e-44e7-8931-a9601e9cb26b.json b/data/hfopenllm_v2/JayHyeon/Qwen_0.5-VIPO_5e-7-3ep_0alp_0lam/ffddfea0-d17e-44e7-8931-a9601e9cb26b.json
new file mode 100644
index 000000000..bf35e8693
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+++ b/data/hfopenllm_v2/JayHyeon/Qwen_0.5-VIPO_5e-7-3ep_0alp_0lam/ffddfea0-d17e-44e7-8931-a9601e9cb26b.json
@@ -0,0 +1,132 @@
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen_0.5-VIPO_5e-7-3ep_10vpo_const/ec351fa1-78c2-48c6-83f0-7c2a9b2f0731.json b/data/hfopenllm_v2/JayHyeon/Qwen_0.5-VIPO_5e-7-3ep_10vpo_const/ec351fa1-78c2-48c6-83f0-7c2a9b2f0731.json
new file mode 100644
index 000000000..45a06565e
--- /dev/null
+++ b/data/hfopenllm_v2/JayHyeon/Qwen_0.5-VIPO_5e-7-3ep_10vpo_const/ec351fa1-78c2-48c6-83f0-7c2a9b2f0731.json
@@ -0,0 +1,132 @@
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+    "id": "JayHyeon/Qwen_0.5-VIPO_5e-7-3ep_10vpo_const",
+    "developer": "JayHyeon",
+    "inference_platform": "unknown",
+    "additional_details": {
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen_0.5-VIPO_5e-7-3ep_1vpo_const/a0038c34-130b-49dc-a93f-94706a3dad50.json b/data/hfopenllm_v2/JayHyeon/Qwen_0.5-VIPO_5e-7-3ep_1vpo_const/a0038c34-130b-49dc-a93f-94706a3dad50.json
new file mode 100644
index 000000000..8033e9669
--- /dev/null
+++ b/data/hfopenllm_v2/JayHyeon/Qwen_0.5-VIPO_5e-7-3ep_1vpo_const/a0038c34-130b-49dc-a93f-94706a3dad50.json
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen_0.5-VIPO_5e-7-3ep_30vpo_const/cbd5ea42-1e5b-4984-bdcf-e60fbfb9d692.json b/data/hfopenllm_v2/JayHyeon/Qwen_0.5-VIPO_5e-7-3ep_30vpo_const/cbd5ea42-1e5b-4984-bdcf-e60fbfb9d692.json
new file mode 100644
index 000000000..85441076b
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen_0.5-VIPO_5e-7-3ep_3vpo_const/b902e2b2-a0b3-4467-b076-b98717c40d74.json b/data/hfopenllm_v2/JayHyeon/Qwen_0.5-VIPO_5e-7-3ep_3vpo_const/b902e2b2-a0b3-4467-b076-b98717c40d74.json
new file mode 100644
index 000000000..cb1e7dc31
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen_0.5-cDPO_5e-7-3ep_0vpo_const_0.1/4c749665-59ff-49df-a193-0262f66e6003.json b/data/hfopenllm_v2/JayHyeon/Qwen_0.5-cDPO_5e-7-3ep_0vpo_const_0.1/4c749665-59ff-49df-a193-0262f66e6003.json
new file mode 100644
index 000000000..7f560d07a
--- /dev/null
+++ b/data/hfopenllm_v2/JayHyeon/Qwen_0.5-cDPO_5e-7-3ep_0vpo_const_0.1/4c749665-59ff-49df-a193-0262f66e6003.json
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diff --git a/data/hfopenllm_v2/JayHyeon/Qwen_0.5-cDPO_5e-7-3ep_0vpo_const_0.3/c99899c6-95e1-4dea-ac12-f8df49728a3b.json b/data/hfopenllm_v2/JayHyeon/Qwen_0.5-cDPO_5e-7-3ep_0vpo_const_0.3/c99899c6-95e1-4dea-ac12-f8df49728a3b.json
new file mode 100644
index 000000000..52430793e
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new file mode 100644
index 000000000..d31366b10
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen_0.5-rDPO_5e-7-3ep_0vpo_const_0.1/c8adc0a5-f4bf-4f88-984c-aba506eae6a9.json b/data/hfopenllm_v2/JayHyeon/Qwen_0.5-rDPO_5e-7-3ep_0vpo_const_0.1/c8adc0a5-f4bf-4f88-984c-aba506eae6a9.json
new file mode 100644
index 000000000..9fb481bab
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/JayHyeon/Qwen_0.5-rDPO_5e-7-3ep_0vpo_const_0.3/b146daaf-ce1f-4520-bc19-21ce8679b220.json b/data/hfopenllm_v2/JayHyeon/Qwen_0.5-rDPO_5e-7-3ep_0vpo_const_0.3/b146daaf-ce1f-4520-bc19-21ce8679b220.json
new file mode 100644
index 000000000..345fd539c
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Jimmy19991222/Llama-3-Instruct-8B-SimPO-v0.2/45e1d037-1ed0-472c-a311-c651fde270fc.json b/data/hfopenllm_v2/Jimmy19991222/Llama-3-Instruct-8B-SimPO-v0.2/45e1d037-1ed0-472c-a311-c651fde270fc.json
new file mode 100644
index 000000000..36efeda0f
--- /dev/null
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@@ -0,0 +1,132 @@
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+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.654
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4984
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0619
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3146
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4013
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3686
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Jimmy19991222/Llama-3-Instruct-8B-SimPO-v0.2/4d7428e8-41a2-4834-900e-e43b05f4d131.json b/data/hfopenllm_v2/Jimmy19991222/Llama-3-Instruct-8B-SimPO-v0.2/4d7428e8-41a2-4834-900e-e43b05f4d131.json
deleted file mode 100644
index 8cd110aea..000000000
--- a/data/hfopenllm_v2/Jimmy19991222/Llama-3-Instruct-8B-SimPO-v0.2/4d7428e8-41a2-4834-900e-e43b05f4d131.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Jimmy19991222_Llama-3-Instruct-8B-SimPO-v0.2/1762652579.692669",
-  "retrieved_timestamp": "1762652579.692669",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Jimmy19991222/Llama-3-Instruct-8B-SimPO-v0.2",
-    "developer": "Jimmy19991222",
-    "inference_platform": "unknown",
-    "id": "Jimmy19991222/Llama-3-Instruct-8B-SimPO-v0.2",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6540368444615842
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.498371102582105
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.061933534743202415
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3145973154362416
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.40125000000000005
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3686003989361702
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Jimmy19991222/llama-3-8b-instruct-gapo-v2-bert-f1-beta10-gamma0.3-lr1.0e-6-1minus-rerun/3f4ce54a-01f3-4c23-a4ba-22d47e0344dc.json b/data/hfopenllm_v2/Jimmy19991222/llama-3-8b-instruct-gapo-v2-bert-f1-beta10-gamma0.3-lr1.0e-6-1minus-rerun/3f4ce54a-01f3-4c23-a4ba-22d47e0344dc.json
new file mode 100644
index 000000000..ea821d05a
--- /dev/null
+++ b/data/hfopenllm_v2/Jimmy19991222/llama-3-8b-instruct-gapo-v2-bert-f1-beta10-gamma0.3-lr1.0e-6-1minus-rerun/3f4ce54a-01f3-4c23-a4ba-22d47e0344dc.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Jimmy19991222_llama-3-8b-instruct-gapo-v2-bert-f1-beta10-gamma0.3-lr1.0e-6-1minus-rerun/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "llama-3-8b-instruct-gapo-v2-bert-f1-beta10-gamma0.3-lr1.0e-6-1minus-rerun",
+    "id": "Jimmy19991222/llama-3-8b-instruct-gapo-v2-bert-f1-beta10-gamma0.3-lr1.0e-6-1minus-rerun",
+    "developer": "Jimmy19991222",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6717
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.488
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0604
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2945
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4041
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3634
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Jimmy19991222/llama-3-8b-instruct-gapo-v2-bert-f1-beta10-gamma0.3-lr1.0e-6-1minus-rerun/9e8f395c-f481-4a64-86ee-053961b17c42.json b/data/hfopenllm_v2/Jimmy19991222/llama-3-8b-instruct-gapo-v2-bert-f1-beta10-gamma0.3-lr1.0e-6-1minus-rerun/9e8f395c-f481-4a64-86ee-053961b17c42.json
deleted file mode 100644
index 4d8f535aa..000000000
--- a/data/hfopenllm_v2/Jimmy19991222/llama-3-8b-instruct-gapo-v2-bert-f1-beta10-gamma0.3-lr1.0e-6-1minus-rerun/9e8f395c-f481-4a64-86ee-053961b17c42.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Jimmy19991222_llama-3-8b-instruct-gapo-v2-bert-f1-beta10-gamma0.3-lr1.0e-6-1minus-rerun/1762652579.6929338",
-  "retrieved_timestamp": "1762652579.692935",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Jimmy19991222/llama-3-8b-instruct-gapo-v2-bert-f1-beta10-gamma0.3-lr1.0e-6-1minus-rerun",
-    "developer": "Jimmy19991222",
-    "inference_platform": "unknown",
-    "id": "Jimmy19991222/llama-3-8b-instruct-gapo-v2-bert-f1-beta10-gamma0.3-lr1.0e-6-1minus-rerun",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6717221416951467
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.48797965672899357
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.06042296072507553
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.29446308724832215
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4040729166666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.36336436170212766
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Jimmy19991222/llama-3-8b-instruct-gapo-v2-bert_f1-beta10-gamma0.3-lr1.0e-6-scale-log/470d52be-9dbd-4714-b004-f65cc82d245f.json b/data/hfopenllm_v2/Jimmy19991222/llama-3-8b-instruct-gapo-v2-bert_f1-beta10-gamma0.3-lr1.0e-6-scale-log/470d52be-9dbd-4714-b004-f65cc82d245f.json
new file mode 100644
index 000000000..49a213fd9
--- /dev/null
+++ b/data/hfopenllm_v2/Jimmy19991222/llama-3-8b-instruct-gapo-v2-bert_f1-beta10-gamma0.3-lr1.0e-6-scale-log/470d52be-9dbd-4714-b004-f65cc82d245f.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Jimmy19991222_llama-3-8b-instruct-gapo-v2-bert_f1-beta10-gamma0.3-lr1.0e-6-scale-log/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "llama-3-8b-instruct-gapo-v2-bert_f1-beta10-gamma0.3-lr1.0e-6-scale-log",
+    "id": "Jimmy19991222/llama-3-8b-instruct-gapo-v2-bert_f1-beta10-gamma0.3-lr1.0e-6-scale-log",
+    "developer": "Jimmy19991222",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6556
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4935
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0544
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3045
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3658
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Jimmy19991222/llama-3-8b-instruct-gapo-v2-bert_f1-beta10-gamma0.3-lr1.0e-6-scale-log/913d1072-8ea3-4e0d-9d72-d30ae186dc7d.json b/data/hfopenllm_v2/Jimmy19991222/llama-3-8b-instruct-gapo-v2-bert_f1-beta10-gamma0.3-lr1.0e-6-scale-log/913d1072-8ea3-4e0d-9d72-d30ae186dc7d.json
deleted file mode 100644
index 3819287d9..000000000
--- a/data/hfopenllm_v2/Jimmy19991222/llama-3-8b-instruct-gapo-v2-bert_f1-beta10-gamma0.3-lr1.0e-6-scale-log/913d1072-8ea3-4e0d-9d72-d30ae186dc7d.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Jimmy19991222_llama-3-8b-instruct-gapo-v2-bert_f1-beta10-gamma0.3-lr1.0e-6-scale-log/1762652579.6931531",
-  "retrieved_timestamp": "1762652579.693154",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Jimmy19991222/llama-3-8b-instruct-gapo-v2-bert_f1-beta10-gamma0.3-lr1.0e-6-scale-log",
-    "developer": "Jimmy19991222",
-    "inference_platform": "unknown",
-    "id": "Jimmy19991222/llama-3-8b-instruct-gapo-v2-bert_f1-beta10-gamma0.3-lr1.0e-6-scale-log",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6555605792630221
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.49345840367294164
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.054380664652567974
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30453020134228187
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4000104166666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3657746010638298
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Jimmy19991222/llama-3-8b-instruct-gapo-v2-bert_p-beta10-gamma0.3-lr1.0e-6-scale-log/55baee54-fb05-49a1-962d-145a93de91a8.json b/data/hfopenllm_v2/Jimmy19991222/llama-3-8b-instruct-gapo-v2-bert_p-beta10-gamma0.3-lr1.0e-6-scale-log/55baee54-fb05-49a1-962d-145a93de91a8.json
deleted file mode 100644
index 8249bb5c7..000000000
--- a/data/hfopenllm_v2/Jimmy19991222/llama-3-8b-instruct-gapo-v2-bert_p-beta10-gamma0.3-lr1.0e-6-scale-log/55baee54-fb05-49a1-962d-145a93de91a8.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Jimmy19991222_llama-3-8b-instruct-gapo-v2-bert_p-beta10-gamma0.3-lr1.0e-6-scale-log/1762652579.693368",
-  "retrieved_timestamp": "1762652579.6933692",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Jimmy19991222/llama-3-8b-instruct-gapo-v2-bert_p-beta10-gamma0.3-lr1.0e-6-scale-log",
-    "developer": "Jimmy19991222",
-    "inference_platform": "unknown",
-    "id": "Jimmy19991222/llama-3-8b-instruct-gapo-v2-bert_p-beta10-gamma0.3-lr1.0e-6-scale-log",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6315055164740666
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4916414793938901
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.0649546827794562
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2860738255033557
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3935
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3611203457446808
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Jimmy19991222/llama-3-8b-instruct-gapo-v2-bert_p-beta10-gamma0.3-lr1.0e-6-scale-log/c836fd05-1969-439c-91e1-fd0cab816f6c.json b/data/hfopenllm_v2/Jimmy19991222/llama-3-8b-instruct-gapo-v2-bert_p-beta10-gamma0.3-lr1.0e-6-scale-log/c836fd05-1969-439c-91e1-fd0cab816f6c.json
new file mode 100644
index 000000000..539534c00
--- /dev/null
+++ b/data/hfopenllm_v2/Jimmy19991222/llama-3-8b-instruct-gapo-v2-bert_p-beta10-gamma0.3-lr1.0e-6-scale-log/c836fd05-1969-439c-91e1-fd0cab816f6c.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Jimmy19991222_llama-3-8b-instruct-gapo-v2-bert_p-beta10-gamma0.3-lr1.0e-6-scale-log/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "llama-3-8b-instruct-gapo-v2-bert_p-beta10-gamma0.3-lr1.0e-6-scale-log",
+    "id": "Jimmy19991222/llama-3-8b-instruct-gapo-v2-bert_p-beta10-gamma0.3-lr1.0e-6-scale-log",
+    "developer": "Jimmy19991222",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6315
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4916
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.065
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2861
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3935
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3611
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Jimmy19991222/llama-3-8b-instruct-gapo-v2-bleu-beta0.1-no-length-scale-gamma0.4/14774c6b-eb03-4abc-92df-1e7a196ca8a4.json b/data/hfopenllm_v2/Jimmy19991222/llama-3-8b-instruct-gapo-v2-bleu-beta0.1-no-length-scale-gamma0.4/14774c6b-eb03-4abc-92df-1e7a196ca8a4.json
new file mode 100644
index 000000000..80d5fde9f
--- /dev/null
+++ b/data/hfopenllm_v2/Jimmy19991222/llama-3-8b-instruct-gapo-v2-bleu-beta0.1-no-length-scale-gamma0.4/14774c6b-eb03-4abc-92df-1e7a196ca8a4.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Jimmy19991222_llama-3-8b-instruct-gapo-v2-bleu-beta0.1-no-length-scale-gamma0.4/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "llama-3-8b-instruct-gapo-v2-bleu-beta0.1-no-length-scale-gamma0.4",
+    "id": "Jimmy19991222/llama-3-8b-instruct-gapo-v2-bleu-beta0.1-no-length-scale-gamma0.4",
+    "developer": "Jimmy19991222",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6285
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4986
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0514
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2928
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4014
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3545
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Jimmy19991222/llama-3-8b-instruct-gapo-v2-bleu-beta0.1-no-length-scale-gamma0.4/601e250a-5c2f-4947-9ea3-0f903b2823ec.json b/data/hfopenllm_v2/Jimmy19991222/llama-3-8b-instruct-gapo-v2-bleu-beta0.1-no-length-scale-gamma0.4/601e250a-5c2f-4947-9ea3-0f903b2823ec.json
deleted file mode 100644
index b1f9930aa..000000000
--- a/data/hfopenllm_v2/Jimmy19991222/llama-3-8b-instruct-gapo-v2-bleu-beta0.1-no-length-scale-gamma0.4/601e250a-5c2f-4947-9ea3-0f903b2823ec.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Jimmy19991222_llama-3-8b-instruct-gapo-v2-bleu-beta0.1-no-length-scale-gamma0.4/1762652579.69359",
-  "retrieved_timestamp": "1762652579.693591",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Jimmy19991222/llama-3-8b-instruct-gapo-v2-bleu-beta0.1-no-length-scale-gamma0.4",
-    "developer": "Jimmy19991222",
-    "inference_platform": "unknown",
-    "id": "Jimmy19991222/llama-3-8b-instruct-gapo-v2-bleu-beta0.1-no-length-scale-gamma0.4",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6284580468711907
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4986088445592742
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.0513595166163142
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.29278523489932884
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.40137500000000004
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3544714095744681
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Jimmy19991222/llama-3-8b-instruct-gapo-v2-rouge2-beta10-1minus-gamma0.3-rerun/5293ae0c-8022-44d4-b2f5-4f5390dff93e.json b/data/hfopenllm_v2/Jimmy19991222/llama-3-8b-instruct-gapo-v2-rouge2-beta10-1minus-gamma0.3-rerun/5293ae0c-8022-44d4-b2f5-4f5390dff93e.json
new file mode 100644
index 000000000..ce4d8a93a
--- /dev/null
+++ b/data/hfopenllm_v2/Jimmy19991222/llama-3-8b-instruct-gapo-v2-rouge2-beta10-1minus-gamma0.3-rerun/5293ae0c-8022-44d4-b2f5-4f5390dff93e.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Jimmy19991222_llama-3-8b-instruct-gapo-v2-rouge2-beta10-1minus-gamma0.3-rerun/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "llama-3-8b-instruct-gapo-v2-rouge2-beta10-1minus-gamma0.3-rerun",
+    "id": "Jimmy19991222/llama-3-8b-instruct-gapo-v2-rouge2-beta10-1minus-gamma0.3-rerun",
+    "developer": "Jimmy19991222",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6678
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.494
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0612
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3062
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3987
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3658
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Jimmy19991222/llama-3-8b-instruct-gapo-v2-rouge2-beta10-1minus-gamma0.3-rerun/8ab1619c-6edf-457e-9834-0e9dc127d6a4.json b/data/hfopenllm_v2/Jimmy19991222/llama-3-8b-instruct-gapo-v2-rouge2-beta10-1minus-gamma0.3-rerun/8ab1619c-6edf-457e-9834-0e9dc127d6a4.json
deleted file mode 100644
index 7042a2436..000000000
--- a/data/hfopenllm_v2/Jimmy19991222/llama-3-8b-instruct-gapo-v2-rouge2-beta10-1minus-gamma0.3-rerun/8ab1619c-6edf-457e-9834-0e9dc127d6a4.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Jimmy19991222_llama-3-8b-instruct-gapo-v2-rouge2-beta10-1minus-gamma0.3-rerun/1762652579.69381",
-  "retrieved_timestamp": "1762652579.693811",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Jimmy19991222/llama-3-8b-instruct-gapo-v2-rouge2-beta10-1minus-gamma0.3-rerun",
-    "developer": "Jimmy19991222",
-    "inference_platform": "unknown",
-    "id": "Jimmy19991222/llama-3-8b-instruct-gapo-v2-rouge2-beta10-1minus-gamma0.3-rerun",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6677504576745258
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4940463886115545
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.06117824773413897
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3062080536912752
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3987083333333334
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3657746010638298
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Jimmy19991222/llama-3-8b-instruct-gapo-v2-rouge2-beta10-gamma0.3-lr1.0e-6-scale-log/5f6d2c1e-1c66-4b1c-beed-a730d93d997f.json b/data/hfopenllm_v2/Jimmy19991222/llama-3-8b-instruct-gapo-v2-rouge2-beta10-gamma0.3-lr1.0e-6-scale-log/5f6d2c1e-1c66-4b1c-beed-a730d93d997f.json
deleted file mode 100644
index a8f92be29..000000000
--- a/data/hfopenllm_v2/Jimmy19991222/llama-3-8b-instruct-gapo-v2-rouge2-beta10-gamma0.3-lr1.0e-6-scale-log/5f6d2c1e-1c66-4b1c-beed-a730d93d997f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Jimmy19991222_llama-3-8b-instruct-gapo-v2-rouge2-beta10-gamma0.3-lr1.0e-6-scale-log/1762652579.69404",
-  "retrieved_timestamp": "1762652579.694041",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Jimmy19991222/llama-3-8b-instruct-gapo-v2-rouge2-beta10-gamma0.3-lr1.0e-6-scale-log",
-    "developer": "Jimmy19991222",
-    "inference_platform": "unknown",
-    "id": "Jimmy19991222/llama-3-8b-instruct-gapo-v2-rouge2-beta10-gamma0.3-lr1.0e-6-scale-log",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6605063453857986
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.49160075581298046
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.06570996978851963
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3036912751677852
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4000416666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3664394946808511
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Jimmy19991222/llama-3-8b-instruct-gapo-v2-rouge2-beta10-gamma0.3-lr1.0e-6-scale-log/9020f91f-a8f0-447d-af68-247aa81a25c6.json b/data/hfopenllm_v2/Jimmy19991222/llama-3-8b-instruct-gapo-v2-rouge2-beta10-gamma0.3-lr1.0e-6-scale-log/9020f91f-a8f0-447d-af68-247aa81a25c6.json
new file mode 100644
index 000000000..4e211ab7c
--- /dev/null
+++ b/data/hfopenllm_v2/Jimmy19991222/llama-3-8b-instruct-gapo-v2-rouge2-beta10-gamma0.3-lr1.0e-6-scale-log/9020f91f-a8f0-447d-af68-247aa81a25c6.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Jimmy19991222_llama-3-8b-instruct-gapo-v2-rouge2-beta10-gamma0.3-lr1.0e-6-scale-log/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "llama-3-8b-instruct-gapo-v2-rouge2-beta10-gamma0.3-lr1.0e-6-scale-log",
+    "id": "Jimmy19991222/llama-3-8b-instruct-gapo-v2-rouge2-beta10-gamma0.3-lr1.0e-6-scale-log",
+    "developer": "Jimmy19991222",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6605
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4916
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0657
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3037
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3664
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Jimmy19991222/llama-3-8b-instruct-gapo-v2-rougeL-beta10-gamma0.3-lr1.0e-6-scale-log/0cd6837a-8c3f-4529-9ea0-8755e1725467.json b/data/hfopenllm_v2/Jimmy19991222/llama-3-8b-instruct-gapo-v2-rougeL-beta10-gamma0.3-lr1.0e-6-scale-log/0cd6837a-8c3f-4529-9ea0-8755e1725467.json
new file mode 100644
index 000000000..b0cd90258
--- /dev/null
+++ b/data/hfopenllm_v2/Jimmy19991222/llama-3-8b-instruct-gapo-v2-rougeL-beta10-gamma0.3-lr1.0e-6-scale-log/0cd6837a-8c3f-4529-9ea0-8755e1725467.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Jimmy19991222_llama-3-8b-instruct-gapo-v2-rougeL-beta10-gamma0.3-lr1.0e-6-scale-log/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "llama-3-8b-instruct-gapo-v2-rougeL-beta10-gamma0.3-lr1.0e-6-scale-log",
+    "id": "Jimmy19991222/llama-3-8b-instruct-gapo-v2-rougeL-beta10-gamma0.3-lr1.0e-6-scale-log",
+    "developer": "Jimmy19991222",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6492
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Jimmy19991222/llama-3-8b-instruct-gapo-v2-rougeL-beta10-gamma0.3-lr1.0e-6-scale-log/6621f47a-13c7-421c-b054-cc9116a04e4e.json b/data/hfopenllm_v2/Jimmy19991222/llama-3-8b-instruct-gapo-v2-rougeL-beta10-gamma0.3-lr1.0e-6-scale-log/6621f47a-13c7-421c-b054-cc9116a04e4e.json
deleted file mode 100644
index d65334ff4..000000000
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+++ /dev/null
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diff --git a/data/hfopenllm_v2/Joseph717171/Hermes-3-Llama-3.1-8B_TIES_with_Base_Embeds_Initialized_to_Special_Instruct_Toks_dtypeF32/7cb17011-cf77-4e86-b67f-84e6ff4b8086.json b/data/hfopenllm_v2/Joseph717171/Hermes-3-Llama-3.1-8B_TIES_with_Base_Embeds_Initialized_to_Special_Instruct_Toks_dtypeF32/7cb17011-cf77-4e86-b67f-84e6ff4b8086.json
new file mode 100644
index 000000000..25c8b3965
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@@ -0,0 +1,132 @@
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+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
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+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
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+  "model_info": {
+    "name": "Hermes-3-Llama-3.1-8B_TIES_with_Base_Embeds_Initialized_to_Special_Instruct_Toks_dtypeF32",
+    "id": "Joseph717171/Hermes-3-Llama-3.1-8B_TIES_with_Base_Embeds_Initialized_to_Special_Instruct_Toks_dtypeF32",
+    "developer": "Joseph717171",
+    "inference_platform": "unknown",
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+        "hf_repo": "TAUR-Lab/MuSR"
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+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
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+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Joseph717171/Llama-3.1-SuperNova-8B-Lite_TIES_with_Base/086831f9-c677-428b-a997-4da58733633c.json b/data/hfopenllm_v2/Joseph717171/Llama-3.1-SuperNova-8B-Lite_TIES_with_Base/086831f9-c677-428b-a997-4da58733633c.json
new file mode 100644
index 000000000..eb6e8c12a
--- /dev/null
+++ b/data/hfopenllm_v2/Joseph717171/Llama-3.1-SuperNova-8B-Lite_TIES_with_Base/086831f9-c677-428b-a997-4da58733633c.json
@@ -0,0 +1,132 @@
+{
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+  "source_metadata": {
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+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
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+    "id": "Joseph717171/Llama-3.1-SuperNova-8B-Lite_TIES_with_Base",
+    "developer": "Joseph717171",
+    "inference_platform": "unknown",
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+    }
+  },
+  "evaluation_results": [
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
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+        "max_score": 1.0
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
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+        "min_score": 0.0,
+        "max_score": 1.0
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+      }
+    },
+    {
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+        "source_type": "hf_dataset",
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+      },
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+        "hf_repo": "TIGER-Lab/MMLU-Pro"
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+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Josephgflowers/Cinder-Phi-2-V1-F16-gguf/d71893b8-b82c-490b-a700-b579d64e0610.json b/data/hfopenllm_v2/Josephgflowers/Cinder-Phi-2-V1-F16-gguf/d71893b8-b82c-490b-a700-b579d64e0610.json
new file mode 100644
index 000000000..536e2fe85
--- /dev/null
+++ b/data/hfopenllm_v2/Josephgflowers/Cinder-Phi-2-V1-F16-gguf/d71893b8-b82c-490b-a700-b579d64e0610.json
@@ -0,0 +1,132 @@
+{
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+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
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+    "id": "Josephgflowers/Cinder-Phi-2-V1-F16-gguf",
+    "developer": "Josephgflowers",
+    "inference_platform": "unknown",
+    "additional_details": {
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+      "params_billions": 2.78
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+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
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+        "score_type": "continuous",
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+        "hf_repo": "TIGER-Lab/MMLU-Pro"
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Josephgflowers/Differential-Attention-Liquid-Metal-Tinyllama/9893689f-c27d-4148-a27f-cd07b07e98b7.json b/data/hfopenllm_v2/Josephgflowers/Differential-Attention-Liquid-Metal-Tinyllama/9893689f-c27d-4148-a27f-cd07b07e98b7.json
new file mode 100644
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new file mode 100644
index 000000000..7c3cb09c4
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new file mode 100644
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diff --git a/data/hfopenllm_v2/Josephgflowers/TinyLlama_v1.1_math_code-world-test-1/ce776f68-856f-4aee-b7e4-e55d15e8d714.json b/data/hfopenllm_v2/Josephgflowers/TinyLlama_v1.1_math_code-world-test-1/ce776f68-856f-4aee-b7e4-e55d15e8d714.json
new file mode 100644
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/Josephgflowers/Tinyllama-STEM-Cinder-Agent-v1/9b015729-524c-44f3-9c2c-c42981d7a61e.json b/data/hfopenllm_v2/Josephgflowers/Tinyllama-STEM-Cinder-Agent-v1/9b015729-524c-44f3-9c2c-c42981d7a61e.json
new file mode 100644
index 000000000..586b23dba
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diff --git a/data/hfopenllm_v2/Josephgflowers/Tinyllama-r1/56a54ffc-4692-496c-95df-8e4ad19d4d95.json b/data/hfopenllm_v2/Josephgflowers/Tinyllama-r1/56a54ffc-4692-496c-95df-8e4ad19d4d95.json
new file mode 100644
index 000000000..5e761ffc2
--- /dev/null
+++ b/data/hfopenllm_v2/Josephgflowers/Tinyllama-r1/56a54ffc-4692-496c-95df-8e4ad19d4d95.json
@@ -0,0 +1,132 @@
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/JungZoona/T3Q-Qwen2.5-14B-Instruct-1M-e3/464673ee-0238-40b4-9c15-1a1551b9f65c.json b/data/hfopenllm_v2/JungZoona/T3Q-Qwen2.5-14B-Instruct-1M-e3/464673ee-0238-40b4-9c15-1a1551b9f65c.json
deleted file mode 100644
index cef212781..000000000
--- a/data/hfopenllm_v2/JungZoona/T3Q-Qwen2.5-14B-Instruct-1M-e3/464673ee-0238-40b4-9c15-1a1551b9f65c.json
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diff --git a/data/hfopenllm_v2/JungZoona/T3Q-Qwen2.5-14B-Instruct-1M-e3/4b105969-2ce5-4c62-89ef-efd392c2ca89.json b/data/hfopenllm_v2/JungZoona/T3Q-Qwen2.5-14B-Instruct-1M-e3/4b105969-2ce5-4c62-89ef-efd392c2ca89.json
new file mode 100644
index 000000000..6864f9d79
--- /dev/null
+++ b/data/hfopenllm_v2/JungZoona/T3Q-Qwen2.5-14B-Instruct-1M-e3/4b105969-2ce5-4c62-89ef-efd392c2ca89.json
@@ -0,0 +1,132 @@
+{
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+    "source_type": "documentation",
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+    "id": "JungZoona/T3Q-Qwen2.5-14B-Instruct-1M-e3",
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+        "hf_repo": "TIGER-Lab/MMLU-Pro"
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/JungZoona/T3Q-qwen2.5-14b-v1.0-e3/31af79b1-48c1-4399-9d16-8582c92996ee.json b/data/hfopenllm_v2/JungZoona/T3Q-qwen2.5-14b-v1.0-e3/31af79b1-48c1-4399-9d16-8582c92996ee.json
new file mode 100644
index 000000000..ebb5f9b2d
--- /dev/null
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@@ -0,0 +1,132 @@
+{
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+    "developer": "JungZoona",
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+    },
+    {
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+      "source_data": {
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Junhoee/Qwen-Megumin/59a67f29-cb7d-497c-b7bb-1764a665ae33.json b/data/hfopenllm_v2/Junhoee/Qwen-Megumin/59a67f29-cb7d-497c-b7bb-1764a665ae33.json
new file mode 100644
index 000000000..8f5c2b802
--- /dev/null
+++ b/data/hfopenllm_v2/Junhoee/Qwen-Megumin/59a67f29-cb7d-497c-b7bb-1764a665ae33.json
@@ -0,0 +1,132 @@
+{
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+  "source_metadata": {
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+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
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+  "model_info": {
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+    "additional_details": {
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+      "architecture": "?",
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+        "score": 0.4902
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2961
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.398
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4199
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/KSU-HW-SEC/Llama3-70b-SVA-FT-1415/08fcda98-72e9-4338-b2a2-6db924a47288.json b/data/hfopenllm_v2/KSU-HW-SEC/Llama3-70b-SVA-FT-1415/08fcda98-72e9-4338-b2a2-6db924a47288.json
deleted file mode 100644
index 317b41b4a..000000000
--- a/data/hfopenllm_v2/KSU-HW-SEC/Llama3-70b-SVA-FT-1415/08fcda98-72e9-4338-b2a2-6db924a47288.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/KSU-HW-SEC_Llama3-70b-SVA-FT-1415/1762652579.6977122",
-  "retrieved_timestamp": "1762652579.697713",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "KSU-HW-SEC/Llama3-70b-SVA-FT-1415",
-    "developer": "KSU-HW-SEC",
-    "inference_platform": "unknown",
-    "id": "KSU-HW-SEC/Llama3-70b-SVA-FT-1415",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 70.554
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6179913739987677
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6650146340680478
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.21978851963746224
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.375
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4565416666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5242686170212766
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/KSU-HW-SEC/Llama3-70b-SVA-FT-1415/fe57367c-74b7-483e-af54-4f404cbea75b.json b/data/hfopenllm_v2/KSU-HW-SEC/Llama3-70b-SVA-FT-1415/fe57367c-74b7-483e-af54-4f404cbea75b.json
new file mode 100644
index 000000000..d5244c3c9
--- /dev/null
+++ b/data/hfopenllm_v2/KSU-HW-SEC/Llama3-70b-SVA-FT-1415/fe57367c-74b7-483e-af54-4f404cbea75b.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/KSU-HW-SEC_Llama3-70b-SVA-FT-1415/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama3-70b-SVA-FT-1415",
+    "id": "KSU-HW-SEC/Llama3-70b-SVA-FT-1415",
+    "developer": "KSU-HW-SEC",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 70.554
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.618
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.665
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2198
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.375
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4565
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5243
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/KSU-HW-SEC/Llama3-70b-SVA-FT-500/4282c191-344e-4326-a80e-49b712687e7c.json b/data/hfopenllm_v2/KSU-HW-SEC/Llama3-70b-SVA-FT-500/4282c191-344e-4326-a80e-49b712687e7c.json
deleted file mode 100644
index 9e4077331..000000000
--- a/data/hfopenllm_v2/KSU-HW-SEC/Llama3-70b-SVA-FT-500/4282c191-344e-4326-a80e-49b712687e7c.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/KSU-HW-SEC_Llama3-70b-SVA-FT-500/1762652579.6980212",
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-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "KSU-HW-SEC/Llama3-70b-SVA-FT-500",
-    "developer": "KSU-HW-SEC",
-    "inference_platform": "unknown",
-    "id": "KSU-HW-SEC/Llama3-70b-SVA-FT-500",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 70.554
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6105223030448099
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6692236023098005
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.21374622356495468
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-    },
-    {
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-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3808724832214765
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.45114583333333336
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.522689494680851
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/KSU-HW-SEC/Llama3-70b-SVA-FT-500/fda2277b-1513-416e-b586-ed05920a0bb4.json b/data/hfopenllm_v2/KSU-HW-SEC/Llama3-70b-SVA-FT-500/fda2277b-1513-416e-b586-ed05920a0bb4.json
new file mode 100644
index 000000000..12fd56cb7
--- /dev/null
+++ b/data/hfopenllm_v2/KSU-HW-SEC/Llama3-70b-SVA-FT-500/fda2277b-1513-416e-b586-ed05920a0bb4.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/KSU-HW-SEC_Llama3-70b-SVA-FT-500/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama3-70b-SVA-FT-500",
+    "id": "KSU-HW-SEC/Llama3-70b-SVA-FT-500",
+    "developer": "KSU-HW-SEC",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 70.554
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6105
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6692
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2137
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3809
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4511
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5227
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/KSU-HW-SEC/Llama3-70b-SVA-FT-final/58fe6545-2f0c-44de-a29b-2da839b141a4.json b/data/hfopenllm_v2/KSU-HW-SEC/Llama3-70b-SVA-FT-final/58fe6545-2f0c-44de-a29b-2da839b141a4.json
deleted file mode 100644
index 259f810a5..000000000
--- a/data/hfopenllm_v2/KSU-HW-SEC/Llama3-70b-SVA-FT-final/58fe6545-2f0c-44de-a29b-2da839b141a4.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/KSU-HW-SEC_Llama3-70b-SVA-FT-final/1762652579.698244",
-  "retrieved_timestamp": "1762652579.698245",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "KSU-HW-SEC/Llama3-70b-SVA-FT-final",
-    "developer": "KSU-HW-SEC",
-    "inference_platform": "unknown",
-    "id": "KSU-HW-SEC/Llama3-70b-SVA-FT-final",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 70.554
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6164676391973297
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6650146340680478
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.21978851963746224
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.375
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
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-        "score_type": "continuous",
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diff --git a/data/hfopenllm_v2/KSU-HW-SEC/Llama3-70b-SVA-FT-final/b3dde216-f80a-4664-aadc-b5f5dd3e5895.json b/data/hfopenllm_v2/KSU-HW-SEC/Llama3-70b-SVA-FT-final/b3dde216-f80a-4664-aadc-b5f5dd3e5895.json
new file mode 100644
index 000000000..54dad4185
--- /dev/null
+++ b/data/hfopenllm_v2/KSU-HW-SEC/Llama3-70b-SVA-FT-final/b3dde216-f80a-4664-aadc-b5f5dd3e5895.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/KSU-HW-SEC_Llama3-70b-SVA-FT-final/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama3-70b-SVA-FT-final",
+    "id": "KSU-HW-SEC/Llama3-70b-SVA-FT-final",
+    "developer": "KSU-HW-SEC",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 70.554
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6165
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.665
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "max_score": 1.0
+      },
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+    {
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+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+    {
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+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "max_score": 1.0
+      },
+      "score_details": {
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+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
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+        "min_score": 0.0,
+        "max_score": 1.0
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+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/KSU-HW-SEC/Llama3.1-70b-SVA-FT-1000step/07ed6241-fd1a-46eb-91fd-92a4a8f6bd15.json b/data/hfopenllm_v2/KSU-HW-SEC/Llama3.1-70b-SVA-FT-1000step/07ed6241-fd1a-46eb-91fd-92a4a8f6bd15.json
new file mode 100644
index 000000000..39cc4b352
--- /dev/null
+++ b/data/hfopenllm_v2/KSU-HW-SEC/Llama3.1-70b-SVA-FT-1000step/07ed6241-fd1a-46eb-91fd-92a4a8f6bd15.json
@@ -0,0 +1,132 @@
+{
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+  "evaluation_id": "hfopenllm_v2/KSU-HW-SEC_Llama3.1-70b-SVA-FT-1000step/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama3.1-70b-SVA-FT-1000step",
+    "id": "KSU-HW-SEC/Llama3.1-70b-SVA-FT-1000step",
+    "developer": "KSU-HW-SEC",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 70.554
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6903
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/KSU-HW-SEC/Llama3.1-70b-SVA-FT-1000step/fe896cef-7667-482d-b7f1-5361fc66ccce.json b/data/hfopenllm_v2/KSU-HW-SEC/Llama3.1-70b-SVA-FT-1000step/fe896cef-7667-482d-b7f1-5361fc66ccce.json
deleted file mode 100644
index 6664c79ab..000000000
--- a/data/hfopenllm_v2/KSU-HW-SEC/Llama3.1-70b-SVA-FT-1000step/fe896cef-7667-482d-b7f1-5361fc66ccce.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/Khetterman/DarkAtom-12B-v3/64802b86-879e-4072-b5ad-aab17d7251f0.json b/data/hfopenllm_v2/Khetterman/DarkAtom-12B-v3/64802b86-879e-4072-b5ad-aab17d7251f0.json
deleted file mode 100644
index a8670958c..000000000
--- a/data/hfopenllm_v2/Khetterman/DarkAtom-12B-v3/64802b86-879e-4072-b5ad-aab17d7251f0.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-    "evaluator_relationship": "third_party",
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-    "source_type": "documentation"
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-  "model_info": {
-    "name": "Khetterman/DarkAtom-12B-v3",
-    "developer": "Khetterman",
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diff --git a/data/hfopenllm_v2/Khetterman/DarkAtom-12B-v3/ba76c356-cd6a-4636-8ab1-18bb9df69881.json b/data/hfopenllm_v2/Khetterman/DarkAtom-12B-v3/ba76c356-cd6a-4636-8ab1-18bb9df69881.json
new file mode 100644
index 000000000..45d9e2c04
--- /dev/null
+++ b/data/hfopenllm_v2/Khetterman/DarkAtom-12B-v3/ba76c356-cd6a-4636-8ab1-18bb9df69881.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Khetterman_DarkAtom-12B-v3/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "DarkAtom-12B-v3",
+    "id": "Khetterman/DarkAtom-12B-v3",
+    "developer": "Khetterman",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 12.248
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+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
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+        "lower_is_better": false,
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+    {
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+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "max_score": 1.0
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+      "score_details": {
+        "score": 0.5154
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+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
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+        "score_type": "continuous",
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+    {
+      "evaluation_name": "GPQA",
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
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+        "score_type": "continuous",
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+        "score": 0.2978
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+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+      "score_details": {
+        "score": 0.4468
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+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/Khetterman/Kosmos-8B-v1/936cbaa1-e55b-46b8-9610-a5a8faaf4434.json b/data/hfopenllm_v2/Khetterman/Kosmos-8B-v1/936cbaa1-e55b-46b8-9610-a5a8faaf4434.json
deleted file mode 100644
index 0545f1ad0..000000000
--- a/data/hfopenllm_v2/Khetterman/Kosmos-8B-v1/936cbaa1-e55b-46b8-9610-a5a8faaf4434.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/Khetterman/Kosmos-8B-v1/c6ae54a1-2821-48d1-b689-bbb85aaa70a6.json b/data/hfopenllm_v2/Khetterman/Kosmos-8B-v1/c6ae54a1-2821-48d1-b689-bbb85aaa70a6.json
new file mode 100644
index 000000000..9f41fea54
--- /dev/null
+++ b/data/hfopenllm_v2/Khetterman/Kosmos-8B-v1/c6ae54a1-2821-48d1-b689-bbb85aaa70a6.json
@@ -0,0 +1,132 @@
+{
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+    "source_type": "documentation",
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+    "id": "Khetterman/Kosmos-8B-v1",
+    "developer": "Khetterman",
+    "inference_platform": "unknown",
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+        "hf_repo": "TAUR-Lab/MuSR"
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Kimargin/GPT-NEO-1.3B-wiki/6f296f0e-80ca-49b7-94e7-cb45b795c715.json b/data/hfopenllm_v2/Kimargin/GPT-NEO-1.3B-wiki/6f296f0e-80ca-49b7-94e7-cb45b795c715.json
new file mode 100644
index 000000000..2495d87be
--- /dev/null
+++ b/data/hfopenllm_v2/Kimargin/GPT-NEO-1.3B-wiki/6f296f0e-80ca-49b7-94e7-cb45b795c715.json
@@ -0,0 +1,132 @@
+{
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+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/KingNish/Qwen2.5-0.5b-Test-ft/b5509e11-820a-4ad4-8c6a-0294762502a8.json b/data/hfopenllm_v2/KingNish/Qwen2.5-0.5b-Test-ft/b5509e11-820a-4ad4-8c6a-0294762502a8.json
new file mode 100644
index 000000000..c989aeb0c
--- /dev/null
+++ b/data/hfopenllm_v2/KingNish/Qwen2.5-0.5b-Test-ft/b5509e11-820a-4ad4-8c6a-0294762502a8.json
@@ -0,0 +1,132 @@
+{
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+  "source_metadata": {
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+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
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+  "model_info": {
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+    "id": "KingNish/Qwen2.5-0.5b-Test-ft",
+    "developer": "KingNish",
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+    {
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+        "hf_repo": "TIGER-Lab/MMLU-Pro"
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+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/KingNish/Reasoning-0.5b/90d73665-8d83-4e74-ab7d-29b1d3b6181b.json b/data/hfopenllm_v2/KingNish/Reasoning-0.5b/90d73665-8d83-4e74-ab7d-29b1d3b6181b.json
new file mode 100644
index 000000000..57493bf65
--- /dev/null
+++ b/data/hfopenllm_v2/KingNish/Reasoning-0.5b/90d73665-8d83-4e74-ab7d-29b1d3b6181b.json
@@ -0,0 +1,132 @@
+{
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+  "evaluation_id": "hfopenllm_v2/KingNish_Reasoning-0.5b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Reasoning-0.5b",
+    "id": "KingNish/Reasoning-0.5b",
+    "developer": "KingNish",
+    "inference_platform": "unknown",
+    "additional_details": {
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+        "hf_repo": "SaylorTwift/bbh"
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+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+    {
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+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
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+        "hf_repo": "Idavidrein/gpqa"
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+        "hf_repo": "TAUR-Lab/MuSR"
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+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "max_score": 1.0
+      },
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+    },
+    {
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/KingNish/Reasoning-0.5b/98f5e59e-0bdb-405b-a18e-3addd8920951.json b/data/hfopenllm_v2/KingNish/Reasoning-0.5b/98f5e59e-0bdb-405b-a18e-3addd8920951.json
deleted file mode 100644
index 2d95dc10d..000000000
--- a/data/hfopenllm_v2/KingNish/Reasoning-0.5b/98f5e59e-0bdb-405b-a18e-3addd8920951.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
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-    "developer": "KingNish",
-    "inference_platform": "unknown",
-    "id": "KingNish/Reasoning-0.5b",
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-}
diff --git a/data/hfopenllm_v2/KingNish/Reasoning-Llama-3b-v0.1/72387647-cbac-4b72-9c22-db7029a39457.json b/data/hfopenllm_v2/KingNish/Reasoning-Llama-3b-v0.1/72387647-cbac-4b72-9c22-db7029a39457.json
new file mode 100644
index 000000000..e30cf7c55
--- /dev/null
+++ b/data/hfopenllm_v2/KingNish/Reasoning-Llama-3b-v0.1/72387647-cbac-4b72-9c22-db7029a39457.json
@@ -0,0 +1,132 @@
+{
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+  "evaluation_id": "hfopenllm_v2/KingNish_Reasoning-Llama-3b-v0.1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
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+    "id": "KingNish/Reasoning-Llama-3b-v0.1",
+    "developer": "KingNish",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 3.213
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
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+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+      "score_details": {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
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+      },
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+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
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+        "evaluation_description": "Accuracy on MUSR",
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+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
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+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
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+        "max_score": 1.0
+      },
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+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/KingNish/qwen-1b-continued-v2.1/6219ec01-4b6a-4acd-aee1-96c3e8e48643.json b/data/hfopenllm_v2/KingNish/qwen-1b-continued-v2.1/6219ec01-4b6a-4acd-aee1-96c3e8e48643.json
new file mode 100644
index 000000000..143abb8e4
--- /dev/null
+++ b/data/hfopenllm_v2/KingNish/qwen-1b-continued-v2.1/6219ec01-4b6a-4acd-aee1-96c3e8e48643.json
@@ -0,0 +1,132 @@
+{
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+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "qwen-1b-continued-v2.1",
+    "id": "KingNish/qwen-1b-continued-v2.1",
+    "developer": "KingNish",
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+      "score_details": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
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+        "lower_is_better": false,
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+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+    },
+    {
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+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
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+        "evaluation_description": "Exact Match on MATH Level 5",
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
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+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
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+        "min_score": 0.0,
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/KingNish/qwen-1b-continued-v2.2/5c323d7c-25cd-4718-8a1f-54d986cadaf2.json b/data/hfopenllm_v2/KingNish/qwen-1b-continued-v2.2/5c323d7c-25cd-4718-8a1f-54d986cadaf2.json
new file mode 100644
index 000000000..04f12a579
--- /dev/null
+++ b/data/hfopenllm_v2/KingNish/qwen-1b-continued-v2.2/5c323d7c-25cd-4718-8a1f-54d986cadaf2.json
@@ -0,0 +1,132 @@
+{
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+  "evaluation_id": "hfopenllm_v2/KingNish_qwen-1b-continued-v2.2/1770682486.623709",
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+    "source_type": "documentation",
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+    "id": "KingNish/qwen-1b-continued-v2.2",
+    "developer": "KingNish",
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+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
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+        "score_type": "continuous",
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+        "max_score": 1.0
+      },
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+    {
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+      },
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
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+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
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+        "min_score": 0.0,
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+        "hf_repo": "TIGER-Lab/MMLU-Pro"
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+        "evaluation_description": "Accuracy on MMLU-PRO",
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+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/KingNish/qwen-1b-continued-v2/adfab21a-941b-4efc-8b63-fdfb3074ba9b.json b/data/hfopenllm_v2/KingNish/qwen-1b-continued-v2/adfab21a-941b-4efc-8b63-fdfb3074ba9b.json
new file mode 100644
index 000000000..7b2c2ff2f
--- /dev/null
+++ b/data/hfopenllm_v2/KingNish/qwen-1b-continued-v2/adfab21a-941b-4efc-8b63-fdfb3074ba9b.json
@@ -0,0 +1,132 @@
+{
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+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "qwen-1b-continued-v2",
+    "id": "KingNish/qwen-1b-continued-v2",
+    "developer": "KingNish",
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+        "score_type": "continuous",
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+        "max_score": 1.0
+      },
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+    {
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.25
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3393
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1193
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/KingNish/qwen-1b-continued/350d00a4-7501-4130-a069-323530bc9729.json b/data/hfopenllm_v2/KingNish/qwen-1b-continued/350d00a4-7501-4130-a069-323530bc9729.json
new file mode 100644
index 000000000..7d5687eaf
--- /dev/null
+++ b/data/hfopenllm_v2/KingNish/qwen-1b-continued/350d00a4-7501-4130-a069-323530bc9729.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/KingNish_qwen-1b-continued/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "qwen-1b-continued",
+    "id": "KingNish/qwen-1b-continued",
+    "developer": "KingNish",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 1.277
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1255
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2991
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0091
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2676
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3859
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1261
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Kquant03/CognitiveFusion2-4x7B-BF16/66f84aee-5d79-4fec-9fff-799ac874d165.json b/data/hfopenllm_v2/Kquant03/CognitiveFusion2-4x7B-BF16/66f84aee-5d79-4fec-9fff-799ac874d165.json
deleted file mode 100644
index 70200399c..000000000
--- a/data/hfopenllm_v2/Kquant03/CognitiveFusion2-4x7B-BF16/66f84aee-5d79-4fec-9fff-799ac874d165.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Kquant03_CognitiveFusion2-4x7B-BF16/1762652579.701032",
-  "retrieved_timestamp": "1762652579.7010329",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Kquant03/CognitiveFusion2-4x7B-BF16",
-    "developer": "Kquant03",
-    "inference_platform": "unknown",
-    "id": "Kquant03/CognitiveFusion2-4x7B-BF16",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MixtralForCausalLM",
-      "params_billions": 24.154
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
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-        "max_score": 1
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-        "lower_is_better": false,
-        "score_type": "continuous",
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-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
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-        "lower_is_better": false,
-        "score_type": "continuous",
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-        "max_score": 1
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-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4145520833333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.27925531914893614
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Kquant03/CognitiveFusion2-4x7B-BF16/ea809d28-178e-4a0b-ab5a-34739077c5ff.json b/data/hfopenllm_v2/Kquant03/CognitiveFusion2-4x7B-BF16/ea809d28-178e-4a0b-ab5a-34739077c5ff.json
new file mode 100644
index 000000000..49d973710
--- /dev/null
+++ b/data/hfopenllm_v2/Kquant03/CognitiveFusion2-4x7B-BF16/ea809d28-178e-4a0b-ab5a-34739077c5ff.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Kquant03_CognitiveFusion2-4x7B-BF16/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "CognitiveFusion2-4x7B-BF16",
+    "id": "Kquant03/CognitiveFusion2-4x7B-BF16",
+    "developer": "Kquant03",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MixtralForCausalLM",
+      "params_billions": 24.154
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3567
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4108
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0574
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2861
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4146
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2793
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Kquant03/L3-Pneuma-8B/243d5ccd-58f3-4da5-8718-553f3f456490.json b/data/hfopenllm_v2/Kquant03/L3-Pneuma-8B/243d5ccd-58f3-4da5-8718-553f3f456490.json
new file mode 100644
index 000000000..408f75c77
--- /dev/null
+++ b/data/hfopenllm_v2/Kquant03/L3-Pneuma-8B/243d5ccd-58f3-4da5-8718-553f3f456490.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Kquant03_L3-Pneuma-8B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "L3-Pneuma-8B",
+    "id": "Kquant03/L3-Pneuma-8B",
+    "developer": "Kquant03",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2374
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4955
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0506
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.307
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4172
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3184
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Kquant03/L3-Pneuma-8B/5420d88b-bc26-4d04-9812-ffce8a3564e6.json b/data/hfopenllm_v2/Kquant03/L3-Pneuma-8B/5420d88b-bc26-4d04-9812-ffce8a3564e6.json
deleted file mode 100644
index 89e4c6447..000000000
--- a/data/hfopenllm_v2/Kquant03/L3-Pneuma-8B/5420d88b-bc26-4d04-9812-ffce8a3564e6.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Kquant03_L3-Pneuma-8B/1762652579.701272",
-  "retrieved_timestamp": "1762652579.7012732",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Kquant03/L3-Pneuma-8B",
-    "developer": "Kquant03",
-    "inference_platform": "unknown",
-    "id": "Kquant03/L3-Pneuma-8B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
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-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2374056392593873
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
-        "score": 0.3070469798657718
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41715624999999995
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-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
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-  ]
-}
diff --git a/data/hfopenllm_v2/Krystalan/DRT-o1-14B/a45537a7-76a6-4855-b83b-abe965f13460.json b/data/hfopenllm_v2/Krystalan/DRT-o1-14B/a45537a7-76a6-4855-b83b-abe965f13460.json
new file mode 100644
index 000000000..970337ee9
--- /dev/null
+++ b/data/hfopenllm_v2/Krystalan/DRT-o1-14B/a45537a7-76a6-4855-b83b-abe965f13460.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Krystalan_DRT-o1-14B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "DRT-o1-14B",
+    "id": "Krystalan/DRT-o1-14B",
+    "developer": "Krystalan",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.77
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4068
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6379
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4826
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3523
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4795
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5179
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Krystalan/DRT-o1-14B/dbd87f5e-e5ba-447b-8416-b6413c3dab09.json b/data/hfopenllm_v2/Krystalan/DRT-o1-14B/dbd87f5e-e5ba-447b-8416-b6413c3dab09.json
deleted file mode 100644
index 3c0303eb4..000000000
--- a/data/hfopenllm_v2/Krystalan/DRT-o1-14B/dbd87f5e-e5ba-447b-8416-b6413c3dab09.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Krystalan_DRT-o1-14B/1762652579.70148",
-  "retrieved_timestamp": "1762652579.7014809",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Krystalan/DRT-o1-14B",
-    "developer": "Krystalan",
-    "inference_platform": "unknown",
-    "id": "Krystalan/DRT-o1-14B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 14.77
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4067662690549963
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.637927537514229
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4826283987915408
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3523489932885906
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.47951041666666666
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5178690159574468
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Krystalan/DRT-o1-7B/9be911b6-b9f4-47b1-849d-62eb20c9e944.json b/data/hfopenllm_v2/Krystalan/DRT-o1-7B/9be911b6-b9f4-47b1-849d-62eb20c9e944.json
new file mode 100644
index 000000000..e93c9a10d
--- /dev/null
+++ b/data/hfopenllm_v2/Krystalan/DRT-o1-7B/9be911b6-b9f4-47b1-849d-62eb20c9e944.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Krystalan_DRT-o1-7B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "DRT-o1-7B",
+    "id": "Krystalan/DRT-o1-7B",
+    "developer": "Krystalan",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3928
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5468
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4479
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3213
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5087
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4151
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Krystalan/DRT-o1-7B/acb8e4cc-41b2-47ef-b819-d480189c618c.json b/data/hfopenllm_v2/Krystalan/DRT-o1-7B/acb8e4cc-41b2-47ef-b819-d480189c618c.json
deleted file mode 100644
index cd3be8819..000000000
--- a/data/hfopenllm_v2/Krystalan/DRT-o1-7B/acb8e4cc-41b2-47ef-b819-d480189c618c.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Krystalan_DRT-o1-7B/1762652579.701715",
-  "retrieved_timestamp": "1762652579.701716",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Krystalan/DRT-o1-7B",
-    "developer": "Krystalan",
-    "inference_platform": "unknown",
-    "id": "Krystalan/DRT-o1-7B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.616
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3928276971768242
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5467693339610741
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4478851963746224
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3213087248322148
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.50865625
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41514295212765956
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Kukedlc/NeuralExperiment-7b-MagicCoder-v7.5/33d7d5f0-cbee-4a26-b5e8-48bdd12492cf.json b/data/hfopenllm_v2/Kukedlc/NeuralExperiment-7b-MagicCoder-v7.5/33d7d5f0-cbee-4a26-b5e8-48bdd12492cf.json
new file mode 100644
index 000000000..0cf70abae
--- /dev/null
+++ b/data/hfopenllm_v2/Kukedlc/NeuralExperiment-7b-MagicCoder-v7.5/33d7d5f0-cbee-4a26-b5e8-48bdd12492cf.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Kukedlc_NeuralExperiment-7b-MagicCoder-v7.5/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "NeuralExperiment-7b-MagicCoder-v7.5",
+    "id": "Kukedlc/NeuralExperiment-7b-MagicCoder-v7.5",
+    "developer": "Kukedlc",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4553
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3988
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0665
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2961
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4282
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2824
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Kukedlc/NeuralExperiment-7b-MagicCoder-v7.5/4775e169-e3a7-41b6-bf1e-a7e8e0edb4fc.json b/data/hfopenllm_v2/Kukedlc/NeuralExperiment-7b-MagicCoder-v7.5/4775e169-e3a7-41b6-bf1e-a7e8e0edb4fc.json
deleted file mode 100644
index bdfde41b6..000000000
--- a/data/hfopenllm_v2/Kukedlc/NeuralExperiment-7b-MagicCoder-v7.5/4775e169-e3a7-41b6-bf1e-a7e8e0edb4fc.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
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-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
-    "name": "Kukedlc/NeuralExperiment-7b-MagicCoder-v7.5",
-    "developer": "Kukedlc",
-    "inference_platform": "unknown",
-    "id": "Kukedlc/NeuralExperiment-7b-MagicCoder-v7.5",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
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-        "max_score": 1
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-      "score_details": {
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-      "metric_config": {
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-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4281979166666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Kukedlc/NeuralLLaMa-3-8b-DT-v0.1/4355fbdd-ac72-4f26-8e07-b7e8d774d238.json b/data/hfopenllm_v2/Kukedlc/NeuralLLaMa-3-8b-DT-v0.1/4355fbdd-ac72-4f26-8e07-b7e8d774d238.json
new file mode 100644
index 000000000..cdfa1a3cb
--- /dev/null
+++ b/data/hfopenllm_v2/Kukedlc/NeuralLLaMa-3-8b-DT-v0.1/4355fbdd-ac72-4f26-8e07-b7e8d774d238.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Kukedlc_NeuralLLaMa-3-8b-DT-v0.1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "NeuralLLaMa-3-8b-DT-v0.1",
+    "id": "Kukedlc/NeuralLLaMa-3-8b-DT-v0.1",
+    "developer": "Kukedlc",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4371
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4987
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0808
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3029
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4071
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3792
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Kukedlc/NeuralLLaMa-3-8b-ORPO-v0.3/4bffc633-e20c-4874-b7db-d1b7dabb8070.json b/data/hfopenllm_v2/Kukedlc/NeuralLLaMa-3-8b-ORPO-v0.3/4bffc633-e20c-4874-b7db-d1b7dabb8070.json
new file mode 100644
index 000000000..76e148b2f
--- /dev/null
+++ b/data/hfopenllm_v2/Kukedlc/NeuralLLaMa-3-8b-ORPO-v0.3/4bffc633-e20c-4874-b7db-d1b7dabb8070.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Kukedlc_NeuralLLaMa-3-8b-ORPO-v0.3/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "NeuralLLaMa-3-8b-ORPO-v0.3",
+    "id": "Kukedlc/NeuralLLaMa-3-8b-ORPO-v0.3",
+    "developer": "Kukedlc",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5276
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4557
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0483
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2391
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.37
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3057
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Kukedlc/NeuralSynthesis-7B-v0.1/2d5c844d-d950-4254-bac2-0a986659c541.json b/data/hfopenllm_v2/Kukedlc/NeuralSynthesis-7B-v0.1/2d5c844d-d950-4254-bac2-0a986659c541.json
new file mode 100644
index 000000000..79df21f7a
--- /dev/null
+++ b/data/hfopenllm_v2/Kukedlc/NeuralSynthesis-7B-v0.1/2d5c844d-d950-4254-bac2-0a986659c541.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Kukedlc_NeuralSynthesis-7B-v0.1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "NeuralSynthesis-7B-v0.1",
+    "id": "Kukedlc/NeuralSynthesis-7B-v0.1",
+    "developer": "Kukedlc",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4185
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5145
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0634
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.281
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4333
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3049
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Kukedlc/NeuralSynthesis-7B-v0.1/3d2603e3-d556-48e8-ba94-555faf9f1807.json b/data/hfopenllm_v2/Kukedlc/NeuralSynthesis-7B-v0.1/3d2603e3-d556-48e8-ba94-555faf9f1807.json
deleted file mode 100644
index d147ab4e6..000000000
--- a/data/hfopenllm_v2/Kukedlc/NeuralSynthesis-7B-v0.1/3d2603e3-d556-48e8-ba94-555faf9f1807.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Kukedlc_NeuralSynthesis-7B-v0.1/1762652579.7026482",
-  "retrieved_timestamp": "1762652579.702649",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Kukedlc/NeuralSynthesis-7B-v0.1",
-    "developer": "Kukedlc",
-    "inference_platform": "unknown",
-    "id": "Kukedlc/NeuralSynthesis-7B-v0.1",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4184563624516283
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5144745481048844
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.0634441087613293
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.28104026845637586
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.43328125
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.304936835106383
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Kukedlc/NeuralSynthesis-7B-v0.3/b3412f38-d0bc-47c9-a750-14bdbf4e65d8.json b/data/hfopenllm_v2/Kukedlc/NeuralSynthesis-7B-v0.3/b3412f38-d0bc-47c9-a750-14bdbf4e65d8.json
deleted file mode 100644
index 4205af851..000000000
--- a/data/hfopenllm_v2/Kukedlc/NeuralSynthesis-7B-v0.3/b3412f38-d0bc-47c9-a750-14bdbf4e65d8.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Kukedlc_NeuralSynthesis-7B-v0.3/1762652579.702864",
-  "retrieved_timestamp": "1762652579.702865",
-  "source_data": [
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-  "source_metadata": {
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Kukedlc/NeuralSynthesis-7B-v0.3",
-    "developer": "Kukedlc",
-    "inference_platform": "unknown",
-    "id": "Kukedlc/NeuralSynthesis-7B-v0.3",
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2802013422818792
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4345833333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30501994680851063
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Kukedlc/NeuralSynthesis-7B-v0.3/f6e74b3c-9ee4-40c3-bf92-35d965503a04.json b/data/hfopenllm_v2/Kukedlc/NeuralSynthesis-7B-v0.3/f6e74b3c-9ee4-40c3-bf92-35d965503a04.json
new file mode 100644
index 000000000..869b589d4
--- /dev/null
+++ b/data/hfopenllm_v2/Kukedlc/NeuralSynthesis-7B-v0.3/f6e74b3c-9ee4-40c3-bf92-35d965503a04.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Kukedlc_NeuralSynthesis-7B-v0.3/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "NeuralSynthesis-7B-v0.3",
+    "id": "Kukedlc/NeuralSynthesis-7B-v0.3",
+    "developer": "Kukedlc",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4078
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5138
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0778
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2802
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4346
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.305
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Kukedlc/NeuralSynthesis-7b-v0.4-slerp/4e30bf00-f6b7-4c28-8cf8-dc64427fb958.json b/data/hfopenllm_v2/Kukedlc/NeuralSynthesis-7b-v0.4-slerp/4e30bf00-f6b7-4c28-8cf8-dc64427fb958.json
deleted file mode 100644
index e109a69d9..000000000
--- a/data/hfopenllm_v2/Kukedlc/NeuralSynthesis-7b-v0.4-slerp/4e30bf00-f6b7-4c28-8cf8-dc64427fb958.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Kukedlc_NeuralSynthesis-7b-v0.4-slerp/1762652579.7030761",
-  "retrieved_timestamp": "1762652579.703077",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Kukedlc/NeuralSynthesis-7b-v0.4-slerp",
-    "developer": "Kukedlc",
-    "inference_platform": "unknown",
-    "id": "Kukedlc/NeuralSynthesis-7b-v0.4-slerp",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3947259936967247
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5142932549151301
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
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-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.06268882175226587
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.27768456375838924
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.43324999999999997
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3042719414893617
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Kukedlc/NeuralSynthesis-7b-v0.4-slerp/8f1d2600-7347-48b8-9759-11570598459d.json b/data/hfopenllm_v2/Kukedlc/NeuralSynthesis-7b-v0.4-slerp/8f1d2600-7347-48b8-9759-11570598459d.json
new file mode 100644
index 000000000..950dab5d0
--- /dev/null
+++ b/data/hfopenllm_v2/Kukedlc/NeuralSynthesis-7b-v0.4-slerp/8f1d2600-7347-48b8-9759-11570598459d.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Kukedlc_NeuralSynthesis-7b-v0.4-slerp/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "NeuralSynthesis-7b-v0.4-slerp",
+    "id": "Kukedlc/NeuralSynthesis-7b-v0.4-slerp",
+    "developer": "Kukedlc",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3947
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5143
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0627
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2777
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4332
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3043
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Kukedlc/Qwen-2.5-7b-Spanish-o1-CoT/cd653bfd-2c06-4224-aeeb-bf591995a69e.json b/data/hfopenllm_v2/Kukedlc/Qwen-2.5-7b-Spanish-o1-CoT/cd653bfd-2c06-4224-aeeb-bf591995a69e.json
new file mode 100644
index 000000000..21324748e
--- /dev/null
+++ b/data/hfopenllm_v2/Kukedlc/Qwen-2.5-7b-Spanish-o1-CoT/cd653bfd-2c06-4224-aeeb-bf591995a69e.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Kukedlc_Qwen-2.5-7b-Spanish-o1-CoT/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen-2.5-7b-Spanish-o1-CoT",
+    "id": "Kukedlc/Qwen-2.5-7b-Spanish-o1-CoT",
+    "developer": "Kukedlc",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.421
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5602
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2727
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3205
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4777
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4363
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Kumar955/Hemanth-llm/0787e240-a1f4-444a-b3dd-7ef1a1d394b4.json b/data/hfopenllm_v2/Kumar955/Hemanth-llm/0787e240-a1f4-444a-b3dd-7ef1a1d394b4.json
deleted file mode 100644
index cf9069419..000000000
--- a/data/hfopenllm_v2/Kumar955/Hemanth-llm/0787e240-a1f4-444a-b3dd-7ef1a1d394b4.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Kumar955_Hemanth-llm/1762652579.703545",
-  "retrieved_timestamp": "1762652579.703546",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
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new file mode 100644
index 000000000..c93b19301
--- /dev/null
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@@ -0,0 +1,132 @@
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/L-RAGE/3_PRYMMAL-ECE-7B-SLERP-V1/02fee4d1-8899-4a93-b6f1-a1a8d251cedd.json b/data/hfopenllm_v2/L-RAGE/3_PRYMMAL-ECE-7B-SLERP-V1/02fee4d1-8899-4a93-b6f1-a1a8d251cedd.json
deleted file mode 100644
index 90a59227d..000000000
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new file mode 100644
index 000000000..22101047a
--- /dev/null
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@@ -0,0 +1,132 @@
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/LEESM/llama-2-7b-hf-lora-oki100p/4c2baa59-c2f1-4779-9d21-1f69c0821968.json b/data/hfopenllm_v2/LEESM/llama-2-7b-hf-lora-oki100p/4c2baa59-c2f1-4779-9d21-1f69c0821968.json
new file mode 100644
index 000000000..6b1aef1c0
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+++ b/data/hfopenllm_v2/LEESM/llama-2-7b-hf-lora-oki100p/4c2baa59-c2f1-4779-9d21-1f69c0821968.json
@@ -0,0 +1,132 @@
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+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/LEESM/llama-2-7b-hf-lora-oki10p/555c1079-c4d0-4b9e-9d2d-769e7ba32429.json b/data/hfopenllm_v2/LEESM/llama-2-7b-hf-lora-oki10p/555c1079-c4d0-4b9e-9d2d-769e7ba32429.json
new file mode 100644
index 000000000..a80706c7c
--- /dev/null
+++ b/data/hfopenllm_v2/LEESM/llama-2-7b-hf-lora-oki10p/555c1079-c4d0-4b9e-9d2d-769e7ba32429.json
@@ -0,0 +1,132 @@
+{
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+  "source_metadata": {
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+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
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+  "model_info": {
+    "name": "llama-2-7b-hf-lora-oki10p",
+    "id": "LEESM/llama-2-7b-hf-lora-oki10p",
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+        "hf_repo": "TIGER-Lab/MMLU-Pro"
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+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
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+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/LEESM/llama-3-8b-bnb-4b-kowiki231101/58a4a1c6-0ee4-4524-9ca1-b40870f1d600.json b/data/hfopenllm_v2/LEESM/llama-3-8b-bnb-4b-kowiki231101/58a4a1c6-0ee4-4524-9ca1-b40870f1d600.json
new file mode 100644
index 000000000..87aab7f15
--- /dev/null
+++ b/data/hfopenllm_v2/LEESM/llama-3-8b-bnb-4b-kowiki231101/58a4a1c6-0ee4-4524-9ca1-b40870f1d600.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
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+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
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+    "id": "LEESM/llama-3-8b-bnb-4b-kowiki231101",
+    "developer": "LEESM",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
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+  "evaluation_results": [
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+        "source_type": "hf_dataset",
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+        "score_type": "continuous",
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+        "max_score": 1.0
+      },
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+      }
+    },
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+        "hf_repo": "SaylorTwift/bbh"
+      },
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+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
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+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "max_score": 1.0
+      },
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+        "evaluation_description": "Accuracy on GPQA",
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
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+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/LEESM/llama-3-Korean-Bllossom-8B-trexlab-oki10p/eea2a38a-4f1b-48d0-894c-09974894f264.json b/data/hfopenllm_v2/LEESM/llama-3-Korean-Bllossom-8B-trexlab-oki10p/eea2a38a-4f1b-48d0-894c-09974894f264.json
new file mode 100644
index 000000000..65d39674d
--- /dev/null
+++ b/data/hfopenllm_v2/LEESM/llama-3-Korean-Bllossom-8B-trexlab-oki10p/eea2a38a-4f1b-48d0-894c-09974894f264.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/LEESM_llama-3-Korean-Bllossom-8B-trexlab-oki10p/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "llama-3-Korean-Bllossom-8B-trexlab-oki10p",
+    "id": "LEESM/llama-3-Korean-Bllossom-8B-trexlab-oki10p",
+    "developer": "LEESM",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "hf_repo": "Idavidrein/gpqa"
+      },
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+        "score_type": "continuous",
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+        "max_score": 1.0
+      },
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+      }
+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
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+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3177
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/LGAI-EXAONE/EXAONE-3.0-7.8B-Instruct/3d8063ab-0ad5-43e4-83ff-90b46dee766f.json b/data/hfopenllm_v2/LGAI-EXAONE/EXAONE-3.0-7.8B-Instruct/3d8063ab-0ad5-43e4-83ff-90b46dee766f.json
new file mode 100644
index 000000000..53d2d42f2
--- /dev/null
+++ b/data/hfopenllm_v2/LGAI-EXAONE/EXAONE-3.0-7.8B-Instruct/3d8063ab-0ad5-43e4-83ff-90b46dee766f.json
@@ -0,0 +1,132 @@
+{
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+  "evaluation_id": "hfopenllm_v2/LGAI-EXAONE_EXAONE-3.0-7.8B-Instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "EXAONE-3.0-7.8B-Instruct",
+    "id": "LGAI-EXAONE/EXAONE-3.0-7.8B-Instruct",
+    "developer": "LGAI-EXAONE",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "ExaoneForCausalLM",
+      "params_billions": 7.8
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "BBH",
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+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+    },
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+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
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+      },
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+      }
+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
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+        "max_score": 1.0
+      },
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+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/LGAI-EXAONE/EXAONE-3.0-7.8B-Instruct/97f7c73d-6d69-4c04-9cff-4914253003b0.json b/data/hfopenllm_v2/LGAI-EXAONE/EXAONE-3.0-7.8B-Instruct/97f7c73d-6d69-4c04-9cff-4914253003b0.json
deleted file mode 100644
index 366806516..000000000
--- a/data/hfopenllm_v2/LGAI-EXAONE/EXAONE-3.0-7.8B-Instruct/97f7c73d-6d69-4c04-9cff-4914253003b0.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "source_metadata": {
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-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
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-    "developer": "LGAI-EXAONE",
-    "inference_platform": "unknown",
-    "id": "LGAI-EXAONE/EXAONE-3.0-7.8B-Instruct",
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-      "precision": "bfloat16",
-      "architecture": "ExaoneForCausalLM",
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-        "min_score": 0,
-        "max_score": 1
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-        "score_type": "continuous",
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-      },
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-    {
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-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.366125
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
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-}
diff --git a/data/hfopenllm_v2/LGAI-EXAONE/EXAONE-3.5-2.4B-Instruct/da5e0284-7c44-42d4-a110-a23880de277f.json b/data/hfopenllm_v2/LGAI-EXAONE/EXAONE-3.5-2.4B-Instruct/da5e0284-7c44-42d4-a110-a23880de277f.json
new file mode 100644
index 000000000..ae4eb863d
--- /dev/null
+++ b/data/hfopenllm_v2/LGAI-EXAONE/EXAONE-3.5-2.4B-Instruct/da5e0284-7c44-42d4-a110-a23880de277f.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/LGAI-EXAONE_EXAONE-3.5-2.4B-Instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "EXAONE-3.5-2.4B-Instruct",
+    "id": "LGAI-EXAONE/EXAONE-3.5-2.4B-Instruct",
+    "developer": "LGAI-EXAONE",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "ExaoneForCausalLM",
+      "params_billions": 2.405
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.795
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4092
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3678
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2659
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3661
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.328
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/LGAI-EXAONE/EXAONE-3.5-2.4B-Instruct/e2a2d764-ba6b-450d-8f94-abf2af95e793.json b/data/hfopenllm_v2/LGAI-EXAONE/EXAONE-3.5-2.4B-Instruct/e2a2d764-ba6b-450d-8f94-abf2af95e793.json
deleted file mode 100644
index 2325e6d6d..000000000
--- a/data/hfopenllm_v2/LGAI-EXAONE/EXAONE-3.5-2.4B-Instruct/e2a2d764-ba6b-450d-8f94-abf2af95e793.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/LGAI-EXAONE_EXAONE-3.5-2.4B-Instruct/1762652579.705282",
-  "retrieved_timestamp": "1762652579.7052832",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "LGAI-EXAONE/EXAONE-3.5-2.4B-Instruct",
-    "developer": "LGAI-EXAONE",
-    "inference_platform": "unknown",
-    "id": "LGAI-EXAONE/EXAONE-3.5-2.4B-Instruct",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "ExaoneForCausalLM",
-      "params_billions": 2.405
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7950449252428002
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4092347113723405
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3678247734138973
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.26593959731543626
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.366125
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.32804188829787234
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/LGAI-EXAONE/EXAONE-3.5-32B-Instruct/a172b1d1-6d6e-4cd9-9a85-78cb4f71661e.json b/data/hfopenllm_v2/LGAI-EXAONE/EXAONE-3.5-32B-Instruct/a172b1d1-6d6e-4cd9-9a85-78cb4f71661e.json
deleted file mode 100644
index f2196526f..000000000
--- a/data/hfopenllm_v2/LGAI-EXAONE/EXAONE-3.5-32B-Instruct/a172b1d1-6d6e-4cd9-9a85-78cb4f71661e.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/LGAI-EXAONE_EXAONE-3.5-32B-Instruct/1762652579.705488",
-  "retrieved_timestamp": "1762652579.705489",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "LGAI-EXAONE/EXAONE-3.5-32B-Instruct",
-    "developer": "LGAI-EXAONE",
-    "inference_platform": "unknown",
-    "id": "LGAI-EXAONE/EXAONE-3.5-32B-Instruct",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "ExaoneForCausalLM",
-      "params_billions": 32.003
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.8391833668000904
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5760913742720142
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5128398791540786
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.287751677852349
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.38066666666666665
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4636801861702128
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/LGAI-EXAONE/EXAONE-3.5-32B-Instruct/bef017bb-47b1-48e4-93c4-3b222a16af7a.json b/data/hfopenllm_v2/LGAI-EXAONE/EXAONE-3.5-32B-Instruct/bef017bb-47b1-48e4-93c4-3b222a16af7a.json
new file mode 100644
index 000000000..5bbd9c37d
--- /dev/null
+++ b/data/hfopenllm_v2/LGAI-EXAONE/EXAONE-3.5-32B-Instruct/bef017bb-47b1-48e4-93c4-3b222a16af7a.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/LGAI-EXAONE_EXAONE-3.5-32B-Instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "EXAONE-3.5-32B-Instruct",
+    "id": "LGAI-EXAONE/EXAONE-3.5-32B-Instruct",
+    "developer": "LGAI-EXAONE",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "ExaoneForCausalLM",
+      "params_billions": 32.003
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.8392
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5761
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5128
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2878
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3807
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4637
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/LGAI-EXAONE/EXAONE-3.5-7.8B-Instruct/401c83b0-b7d2-4987-9e46-f127fdbb595f.json b/data/hfopenllm_v2/LGAI-EXAONE/EXAONE-3.5-7.8B-Instruct/401c83b0-b7d2-4987-9e46-f127fdbb595f.json
new file mode 100644
index 000000000..48cb86a10
--- /dev/null
+++ b/data/hfopenllm_v2/LGAI-EXAONE/EXAONE-3.5-7.8B-Instruct/401c83b0-b7d2-4987-9e46-f127fdbb595f.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/LGAI-EXAONE_EXAONE-3.5-7.8B-Instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "EXAONE-3.5-7.8B-Instruct",
+    "id": "LGAI-EXAONE/EXAONE-3.5-7.8B-Instruct",
+    "developer": "LGAI-EXAONE",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "ExaoneForCausalLM",
+      "params_billions": 7.818
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.8136
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4728
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4751
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2576
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3779
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4133
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/LGAI-EXAONE/EXAONE-3.5-7.8B-Instruct/7fa474fb-4aa1-4855-9759-a28056c7a5e7.json b/data/hfopenllm_v2/LGAI-EXAONE/EXAONE-3.5-7.8B-Instruct/7fa474fb-4aa1-4855-9759-a28056c7a5e7.json
deleted file mode 100644
index 02e460cbc..000000000
--- a/data/hfopenllm_v2/LGAI-EXAONE/EXAONE-3.5-7.8B-Instruct/7fa474fb-4aa1-4855-9759-a28056c7a5e7.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/LGAI-EXAONE_EXAONE-3.5-7.8B-Instruct/1762652579.705873",
-  "retrieved_timestamp": "1762652579.705875",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "LGAI-EXAONE/EXAONE-3.5-7.8B-Instruct",
-    "developer": "LGAI-EXAONE",
-    "inference_platform": "unknown",
-    "id": "LGAI-EXAONE/EXAONE-3.5-7.8B-Instruct",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "ExaoneForCausalLM",
-      "params_billions": 7.818
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.8136045692096969
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4727592304359862
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.47507552870090636
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2575503355704698
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3779375
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4133144946808511
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/LLM360/K2-Chat/c6fde59b-73ed-4179-a907-076be068b262.json b/data/hfopenllm_v2/LLM360/K2-Chat/c6fde59b-73ed-4179-a907-076be068b262.json
new file mode 100644
index 000000000..6ec8b2598
--- /dev/null
+++ b/data/hfopenllm_v2/LLM360/K2-Chat/c6fde59b-73ed-4179-a907-076be068b262.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/LLM360_K2-Chat/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "K2-Chat",
+    "id": "LLM360/K2-Chat",
+    "developer": "LLM360",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 65.286
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5152
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5358
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1035
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3062
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.457
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3371
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/LLM360/K2-Chat/f7e7c296-74f4-49fa-946d-142341749355.json b/data/hfopenllm_v2/LLM360/K2-Chat/f7e7c296-74f4-49fa-946d-142341749355.json
deleted file mode 100644
index 8f3008c80..000000000
--- a/data/hfopenllm_v2/LLM360/K2-Chat/f7e7c296-74f4-49fa-946d-142341749355.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/LLM360_K2-Chat/1762652579.706591",
-  "retrieved_timestamp": "1762652579.706592",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "LLM360/K2-Chat",
-    "developer": "LLM360",
-    "inference_platform": "unknown",
-    "id": "LLM360/K2-Chat",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 65.286
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5151763986223221
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5358099630242067
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.10347432024169184
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3062080536912752
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.457
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3371010638297872
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/LLM360/K2/4b1e267f-90c4-403a-a7cd-5c006153408b.json b/data/hfopenllm_v2/LLM360/K2/4b1e267f-90c4-403a-a7cd-5c006153408b.json
deleted file mode 100644
index f64e69e5c..000000000
--- a/data/hfopenllm_v2/LLM360/K2/4b1e267f-90c4-403a-a7cd-5c006153408b.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/LLM360_K2/1762652579.706215",
-  "retrieved_timestamp": "1762652579.7062159",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "LLM360/K2",
-    "developer": "LLM360",
-    "inference_platform": "unknown",
-    "id": "LLM360/K2",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 65.286
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2252157608478836
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4971835676523677
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.027190332326283987
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.27684563758389263
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.39799999999999996
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30044880319148937
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/LLM360/K2/90997fea-6c67-493e-bd8e-5327cfb33ea4.json b/data/hfopenllm_v2/LLM360/K2/90997fea-6c67-493e-bd8e-5327cfb33ea4.json
new file mode 100644
index 000000000..c8a7cd176
--- /dev/null
+++ b/data/hfopenllm_v2/LLM360/K2/90997fea-6c67-493e-bd8e-5327cfb33ea4.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/LLM360_K2/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "K2",
+    "id": "LLM360/K2",
+    "developer": "LLM360",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 65.286
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2252
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4972
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0272
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2768
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.398
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3004
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/LLM4Binary/llm4decompile-1.3b-v2/08957d63-7462-44ff-9dd8-060a5801a31b.json b/data/hfopenllm_v2/LLM4Binary/llm4decompile-1.3b-v2/08957d63-7462-44ff-9dd8-060a5801a31b.json
new file mode 100644
index 000000000..85cc8161c
--- /dev/null
+++ b/data/hfopenllm_v2/LLM4Binary/llm4decompile-1.3b-v2/08957d63-7462-44ff-9dd8-060a5801a31b.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/LLM4Binary_llm4decompile-1.3b-v2/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "llm4decompile-1.3b-v2",
+    "id": "LLM4Binary/llm4decompile-1.3b-v2",
+    "developer": "LLM4Binary",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 1.346
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2268
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3272
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0128
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2357
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4072
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1209
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/LLM4Binary/llm4decompile-1.3b-v2/86f0a81b-69da-4f36-a6b0-8a36f79d5c1c.json b/data/hfopenllm_v2/LLM4Binary/llm4decompile-1.3b-v2/86f0a81b-69da-4f36-a6b0-8a36f79d5c1c.json
deleted file mode 100644
index 76ef11f2a..000000000
--- a/data/hfopenllm_v2/LLM4Binary/llm4decompile-1.3b-v2/86f0a81b-69da-4f36-a6b0-8a36f79d5c1c.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/LLM4Binary_llm4decompile-1.3b-v2/1762652579.7068748",
-  "retrieved_timestamp": "1762652579.706877",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "LLM4Binary/llm4decompile-1.3b-v2",
-    "developer": "LLM4Binary",
-    "inference_platform": "unknown",
-    "id": "LLM4Binary/llm4decompile-1.3b-v2",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 1.346
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.22678936333373229
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3271808417267589
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.01283987915407855
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.23573825503355705
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4071770833333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.12092752659574468
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Lambent/qwen2.5-reinstruct-alternate-lumen-14B/a434f569-e7d6-4464-afa8-6104be43fa06.json b/data/hfopenllm_v2/Lambent/qwen2.5-reinstruct-alternate-lumen-14B/a434f569-e7d6-4464-afa8-6104be43fa06.json
new file mode 100644
index 000000000..105590f52
--- /dev/null
+++ b/data/hfopenllm_v2/Lambent/qwen2.5-reinstruct-alternate-lumen-14B/a434f569-e7d6-4464-afa8-6104be43fa06.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Lambent_qwen2.5-reinstruct-alternate-lumen-14B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "qwen2.5-reinstruct-alternate-lumen-14B",
+    "id": "Lambent/qwen2.5-reinstruct-alternate-lumen-14B",
+    "developer": "Lambent",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.766
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4794
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6459
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4622
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3767
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.477
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5388
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Langboat/Mengzi3-8B-Chat/13e12b5c-d3bb-4634-967d-e5741e623be1.json b/data/hfopenllm_v2/Langboat/Mengzi3-8B-Chat/13e12b5c-d3bb-4634-967d-e5741e623be1.json
deleted file mode 100644
index 8ff900bbf..000000000
--- a/data/hfopenllm_v2/Langboat/Mengzi3-8B-Chat/13e12b5c-d3bb-4634-967d-e5741e623be1.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Langboat_Mengzi3-8B-Chat/1762652579.707526",
-  "retrieved_timestamp": "1762652579.707527",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Langboat/Mengzi3-8B-Chat",
-    "developer": "Langboat",
-    "inference_platform": "unknown",
-    "id": "Langboat/Mengzi3-8B-Chat",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.513977357854936
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4683725003203179
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.09063444108761329
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.27432885906040266
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4077916666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.31416223404255317
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Langboat/Mengzi3-8B-Chat/e32ed251-e817-409f-b4c3-8f168f1ff822.json b/data/hfopenllm_v2/Langboat/Mengzi3-8B-Chat/e32ed251-e817-409f-b4c3-8f168f1ff822.json
new file mode 100644
index 000000000..1c7e4d12f
--- /dev/null
+++ b/data/hfopenllm_v2/Langboat/Mengzi3-8B-Chat/e32ed251-e817-409f-b4c3-8f168f1ff822.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Langboat_Mengzi3-8B-Chat/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Mengzi3-8B-Chat",
+    "id": "Langboat/Mengzi3-8B-Chat",
+    "developer": "Langboat",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.514
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4684
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0906
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2743
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4078
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3142
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Lawnakk/BBA100/1d9a65a3-d2bb-48a7-8a00-8e4a79c36db2.json b/data/hfopenllm_v2/Lawnakk/BBA100/1d9a65a3-d2bb-48a7-8a00-8e4a79c36db2.json
new file mode 100644
index 000000000..9cbc0affe
--- /dev/null
+++ b/data/hfopenllm_v2/Lawnakk/BBA100/1d9a65a3-d2bb-48a7-8a00-8e4a79c36db2.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Lawnakk_BBA100/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "BBA100",
+    "id": "Lawnakk/BBA100",
+    "developer": "Lawnakk",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2076
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2826
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0098
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2441
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.402
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1122
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Lawnakk/BBA100/745591e3-3c6a-473a-9e51-4bffe1c86fa7.json b/data/hfopenllm_v2/Lawnakk/BBA100/745591e3-3c6a-473a-9e51-4bffe1c86fa7.json
deleted file mode 100644
index 8fef4d078..000000000
--- a/data/hfopenllm_v2/Lawnakk/BBA100/745591e3-3c6a-473a-9e51-4bffe1c86fa7.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Lawnakk_BBA100/1762652579.707814",
-  "retrieved_timestamp": "1762652579.707815",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Lawnakk/BBA100",
-    "developer": "Lawnakk",
-    "inference_platform": "unknown",
-    "id": "Lawnakk/BBA100",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.616
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2075803312987318
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2825701502983552
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.009818731117824773
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.24412751677852348
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.40196875
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11220079787234043
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Lawnakk/BBALAW1.0/608398da-ae2a-4be2-aaf9-6ec8899aa63d.json b/data/hfopenllm_v2/Lawnakk/BBALAW1.0/608398da-ae2a-4be2-aaf9-6ec8899aa63d.json
new file mode 100644
index 000000000..11de02d19
--- /dev/null
+++ b/data/hfopenllm_v2/Lawnakk/BBALAW1.0/608398da-ae2a-4be2-aaf9-6ec8899aa63d.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Lawnakk_BBALAW1.0/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "BBALAW1.0",
+    "id": "Lawnakk/BBALAW1.0",
+    "developer": "Lawnakk",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 4.353
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1351
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2828
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2559
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3526
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1128
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Lawnakk/BBALAW1.0/61739e6e-92b0-4577-acd2-8c58ffc612a4.json b/data/hfopenllm_v2/Lawnakk/BBALAW1.0/61739e6e-92b0-4577-acd2-8c58ffc612a4.json
deleted file mode 100644
index d69606f01..000000000
--- a/data/hfopenllm_v2/Lawnakk/BBALAW1.0/61739e6e-92b0-4577-acd2-8c58ffc612a4.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Lawnakk_BBALAW1.0/1762652579.708328",
-  "retrieved_timestamp": "1762652579.708329",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Lawnakk/BBALAW1.0",
-    "developer": "Lawnakk",
-    "inference_platform": "unknown",
-    "id": "Lawnakk/BBALAW1.0",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 4.353
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.13511482865463637
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.28276697965906106
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.0
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2558724832214765
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3525729166666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11278257978723404
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Lawnakk/BBALAW1.2/80e04641-be7d-4351-a4f6-1318981ef834.json b/data/hfopenllm_v2/Lawnakk/BBALAW1.2/80e04641-be7d-4351-a4f6-1318981ef834.json
new file mode 100644
index 000000000..0b4de2bab
--- /dev/null
+++ b/data/hfopenllm_v2/Lawnakk/BBALAW1.2/80e04641-be7d-4351-a4f6-1318981ef834.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Lawnakk_BBALAW1.2/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "BBALAW1.2",
+    "id": "Lawnakk/BBALAW1.2",
+    "developer": "Lawnakk",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 4.353
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1354
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2811
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2643
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3579
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1105
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Lawnakk/BBALAW1.2/917081cc-ee33-4c1f-85b0-9256ef57f6b3.json b/data/hfopenllm_v2/Lawnakk/BBALAW1.2/917081cc-ee33-4c1f-85b0-9256ef57f6b3.json
deleted file mode 100644
index bfcb9f421..000000000
--- a/data/hfopenllm_v2/Lawnakk/BBALAW1.2/917081cc-ee33-4c1f-85b0-9256ef57f6b3.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Lawnakk_BBALAW1.2/1762652579.708597",
-  "retrieved_timestamp": "1762652579.708598",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Lawnakk/BBALAW1.2",
-    "developer": "Lawnakk",
-    "inference_platform": "unknown",
-    "id": "Lawnakk/BBALAW1.2",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 4.353
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.13543952268868825
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.28112730419661675
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.0
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.26426174496644295
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.35790625000000004
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11053856382978723
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Lawnakk/BBALAW1.3/60fa19b9-bf1d-4f39-b421-cb59379f5206.json b/data/hfopenllm_v2/Lawnakk/BBALAW1.3/60fa19b9-bf1d-4f39-b421-cb59379f5206.json
deleted file mode 100644
index 63a71eebf..000000000
--- a/data/hfopenllm_v2/Lawnakk/BBALAW1.3/60fa19b9-bf1d-4f39-b421-cb59379f5206.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Lawnakk_BBALAW1.3/1762652579.70884",
-  "retrieved_timestamp": "1762652579.7088408",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Lawnakk/BBALAW1.3",
-    "developer": "Lawnakk",
-    "inference_platform": "unknown",
-    "id": "Lawnakk/BBALAW1.3",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 4.353
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.13543952268868825
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.28269808045232453
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.0
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2609060402684564
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.36190625000000004
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.109375
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Lawnakk/BBALAW1.3/e74222c6-636c-4075-8d4d-30c73fa70fda.json b/data/hfopenllm_v2/Lawnakk/BBALAW1.3/e74222c6-636c-4075-8d4d-30c73fa70fda.json
new file mode 100644
index 000000000..a9204af31
--- /dev/null
+++ b/data/hfopenllm_v2/Lawnakk/BBALAW1.3/e74222c6-636c-4075-8d4d-30c73fa70fda.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Lawnakk_BBALAW1.3/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "BBALAW1.3",
+    "id": "Lawnakk/BBALAW1.3",
+    "developer": "Lawnakk",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 4.353
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1354
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2827
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2609
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3619
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1094
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Lawnakk/BBALAW1.6/684962b9-d734-4a10-a0cb-45bc4d957c2c.json b/data/hfopenllm_v2/Lawnakk/BBALAW1.6/684962b9-d734-4a10-a0cb-45bc4d957c2c.json
deleted file mode 100644
index 1cc37b498..000000000
--- a/data/hfopenllm_v2/Lawnakk/BBALAW1.6/684962b9-d734-4a10-a0cb-45bc4d957c2c.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Lawnakk_BBALAW1.6/1762652579.7090619",
-  "retrieved_timestamp": "1762652579.7090628",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Lawnakk/BBALAW1.6",
-    "developer": "Lawnakk",
-    "inference_platform": "unknown",
-    "id": "Lawnakk/BBALAW1.6",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.616
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5245437660961804
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.555356284691385
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.36027190332326287
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3238255033557047
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.43684375
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.45071476063829785
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Lawnakk/BBALAW1.6/aed80361-9304-44a0-934a-52976d7f1bf3.json b/data/hfopenllm_v2/Lawnakk/BBALAW1.6/aed80361-9304-44a0-934a-52976d7f1bf3.json
new file mode 100644
index 000000000..02391ea7b
--- /dev/null
+++ b/data/hfopenllm_v2/Lawnakk/BBALAW1.6/aed80361-9304-44a0-934a-52976d7f1bf3.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Lawnakk_BBALAW1.6/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "BBALAW1.6",
+    "id": "Lawnakk/BBALAW1.6",
+    "developer": "Lawnakk",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5245
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5554
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3603
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3238
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4368
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4507
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Lawnakk/BBALAW1.61/709bd280-b03e-4908-808f-34566bc968f4.json b/data/hfopenllm_v2/Lawnakk/BBALAW1.61/709bd280-b03e-4908-808f-34566bc968f4.json
new file mode 100644
index 000000000..d518940c4
--- /dev/null
+++ b/data/hfopenllm_v2/Lawnakk/BBALAW1.61/709bd280-b03e-4908-808f-34566bc968f4.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Lawnakk_BBALAW1.61/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "BBALAW1.61",
+    "id": "Lawnakk/BBALAW1.61",
+    "developer": "Lawnakk",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5771
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5549
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3663
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3171
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4355
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4471
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Lawnakk/BBALAW1.61/af87bb98-cc36-4c8d-9694-7e7428a899ac.json b/data/hfopenllm_v2/Lawnakk/BBALAW1.61/af87bb98-cc36-4c8d-9694-7e7428a899ac.json
deleted file mode 100644
index 3e9eac2eb..000000000
--- a/data/hfopenllm_v2/Lawnakk/BBALAW1.61/af87bb98-cc36-4c8d-9694-7e7428a899ac.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Lawnakk_BBALAW1.61/1762652579.709277",
-  "retrieved_timestamp": "1762652579.7092779",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Lawnakk/BBALAW1.61",
-    "developer": "Lawnakk",
-    "inference_platform": "unknown",
-    "id": "Lawnakk/BBALAW1.61",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.616
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
-        "score": 0.5548582474785428
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-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-    {
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-        "score_type": "continuous",
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-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-  ]
-}
diff --git a/data/hfopenllm_v2/Lawnakk/BBALAW1.62/5dc300f1-e908-4d71-addc-2717e3702b12.json b/data/hfopenllm_v2/Lawnakk/BBALAW1.62/5dc300f1-e908-4d71-addc-2717e3702b12.json
deleted file mode 100644
index 24598dda3..000000000
--- a/data/hfopenllm_v2/Lawnakk/BBALAW1.62/5dc300f1-e908-4d71-addc-2717e3702b12.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Lawnakk_BBALAW1.62/1762652579.709492",
-  "retrieved_timestamp": "1762652579.709493",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Lawnakk/BBALAW1.62",
-    "developer": "Lawnakk",
-    "inference_platform": "unknown",
-    "id": "Lawnakk/BBALAW1.62",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.616
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5046099903810778
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5580519941056026
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
-        "score": 0.2824773413897281
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3196308724832215
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4343333333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.45445478723404253
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Lawnakk/BBALAW1.62/66c495b3-4b09-42ad-b742-4d753c3bde7a.json b/data/hfopenllm_v2/Lawnakk/BBALAW1.62/66c495b3-4b09-42ad-b742-4d753c3bde7a.json
new file mode 100644
index 000000000..0ca80591d
--- /dev/null
+++ b/data/hfopenllm_v2/Lawnakk/BBALAW1.62/66c495b3-4b09-42ad-b742-4d753c3bde7a.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Lawnakk_BBALAW1.62/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "BBALAW1.62",
+    "id": "Lawnakk/BBALAW1.62",
+    "developer": "Lawnakk",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5046
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5581
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2825
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3196
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4343
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4545
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Lawnakk/BBALAW1.63/6005fc02-9f02-436a-a535-ec68a3c6dbc6.json b/data/hfopenllm_v2/Lawnakk/BBALAW1.63/6005fc02-9f02-436a-a535-ec68a3c6dbc6.json
deleted file mode 100644
index d60e0d31d..000000000
--- a/data/hfopenllm_v2/Lawnakk/BBALAW1.63/6005fc02-9f02-436a-a535-ec68a3c6dbc6.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Lawnakk_BBALAW1.63/1762652579.709696",
-  "retrieved_timestamp": "1762652579.709697",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Lawnakk/BBALAW1.63",
-    "developer": "Lawnakk",
-    "inference_platform": "unknown",
-    "id": "Lawnakk/BBALAW1.63",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.613
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.44073835201709244
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5540633758841665
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37009063444108764
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.31208053691275167
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4303333333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4470578457446808
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Lawnakk/BBALAW1.63/e24f7be6-3051-4990-8b93-121aec5402eb.json b/data/hfopenllm_v2/Lawnakk/BBALAW1.63/e24f7be6-3051-4990-8b93-121aec5402eb.json
new file mode 100644
index 000000000..cb01d3410
--- /dev/null
+++ b/data/hfopenllm_v2/Lawnakk/BBALAW1.63/e24f7be6-3051-4990-8b93-121aec5402eb.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Lawnakk_BBALAW1.63/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "BBALAW1.63",
+    "id": "Lawnakk/BBALAW1.63",
+    "developer": "Lawnakk",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.613
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4407
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5541
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3701
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3121
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4303
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4471
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Lawnakk/BBALAW1.64/0321571b-4246-4490-bd6c-7b106eb8e15a.json b/data/hfopenllm_v2/Lawnakk/BBALAW1.64/0321571b-4246-4490-bd6c-7b106eb8e15a.json
new file mode 100644
index 000000000..227047148
--- /dev/null
+++ b/data/hfopenllm_v2/Lawnakk/BBALAW1.64/0321571b-4246-4490-bd6c-7b106eb8e15a.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Lawnakk_BBALAW1.64/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "BBALAW1.64",
+    "id": "Lawnakk/BBALAW1.64",
+    "developer": "Lawnakk",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1395
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2779
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2483
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3447
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1115
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Lawnakk/BBALAW1.64/4a4ce0f8-c41f-469e-b7c7-a4e3d857377e.json b/data/hfopenllm_v2/Lawnakk/BBALAW1.64/4a4ce0f8-c41f-469e-b7c7-a4e3d857377e.json
deleted file mode 100644
index 45f2c3e2b..000000000
--- a/data/hfopenllm_v2/Lawnakk/BBALAW1.64/4a4ce0f8-c41f-469e-b7c7-a4e3d857377e.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Lawnakk_BBALAW1.64/1762652579.709901",
-  "retrieved_timestamp": "1762652579.709902",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Lawnakk/BBALAW1.64",
-    "developer": "Lawnakk",
-    "inference_platform": "unknown",
-    "id": "Lawnakk/BBALAW1.64",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.616
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.13946107439371977
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.27790701865141654
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.0
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2483221476510067
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3446666666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11153590425531915
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Lawnakk/BBALAW1/54dbf947-ab18-40dd-9cd7-a496289b2e72.json b/data/hfopenllm_v2/Lawnakk/BBALAW1/54dbf947-ab18-40dd-9cd7-a496289b2e72.json
new file mode 100644
index 000000000..f7c7740c8
--- /dev/null
+++ b/data/hfopenllm_v2/Lawnakk/BBALAW1/54dbf947-ab18-40dd-9cd7-a496289b2e72.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Lawnakk_BBALAW1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "BBALAW1",
+    "id": "Lawnakk/BBALAW1",
+    "developer": "Lawnakk",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1905
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2872
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0098
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2433
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4153
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1121
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Lawnakk/BBALAW1/59b40f56-c27f-4b15-9288-b7033e2e4f26.json b/data/hfopenllm_v2/Lawnakk/BBALAW1/59b40f56-c27f-4b15-9288-b7033e2e4f26.json
deleted file mode 100644
index 7938844e6..000000000
--- a/data/hfopenllm_v2/Lawnakk/BBALAW1/59b40f56-c27f-4b15-9288-b7033e2e4f26.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Lawnakk_BBALAW1/1762652579.708089",
-  "retrieved_timestamp": "1762652579.70809",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Lawnakk/BBALAW1",
-    "developer": "Lawnakk",
-    "inference_platform": "unknown",
-    "id": "Lawnakk/BBALAW1",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.616
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.19054442213327305
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.28723681696502185
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.009818731117824773
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.24328859060402686
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4152708333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11211768617021277
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/LenguajeNaturalAI/leniachat-gemma-2b-v0/d841e204-ed6a-439d-8408-d5cfb3b38dae.json b/data/hfopenllm_v2/LenguajeNaturalAI/leniachat-gemma-2b-v0/d841e204-ed6a-439d-8408-d5cfb3b38dae.json
new file mode 100644
index 000000000..6394ebbd7
--- /dev/null
+++ b/data/hfopenllm_v2/LenguajeNaturalAI/leniachat-gemma-2b-v0/d841e204-ed6a-439d-8408-d5cfb3b38dae.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/LenguajeNaturalAI_leniachat-gemma-2b-v0/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "leniachat-gemma-2b-v0",
+    "id": "LenguajeNaturalAI/leniachat-gemma-2b-v0",
+    "developer": "LenguajeNaturalAI",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "GemmaForCausalLM",
+      "params_billions": 2.506
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.215
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3074
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0113
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2659
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3659
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.117
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/LenguajeNaturalAI/leniachat-qwen2-1.5B-v0/96b57891-83e3-4948-ad48-64a2a370e166.json b/data/hfopenllm_v2/LenguajeNaturalAI/leniachat-qwen2-1.5B-v0/96b57891-83e3-4948-ad48-64a2a370e166.json
new file mode 100644
index 000000000..1f7ec34a2
--- /dev/null
+++ b/data/hfopenllm_v2/LenguajeNaturalAI/leniachat-qwen2-1.5B-v0/96b57891-83e3-4948-ad48-64a2a370e166.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/LenguajeNaturalAI_leniachat-qwen2-1.5B-v0/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "leniachat-qwen2-1.5B-v0",
+    "id": "LenguajeNaturalAI/leniachat-qwen2-1.5B-v0",
+    "developer": "LenguajeNaturalAI",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 1.543
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2221
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3684
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0128
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2617
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.375
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.188
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/LeroyDyer/CheckPoint_A/30301818-6dad-45f9-acfb-a68ccc7c0609.json b/data/hfopenllm_v2/LeroyDyer/CheckPoint_A/30301818-6dad-45f9-acfb-a68ccc7c0609.json
new file mode 100644
index 000000000..009c8048b
--- /dev/null
+++ b/data/hfopenllm_v2/LeroyDyer/CheckPoint_A/30301818-6dad-45f9-acfb-a68ccc7c0609.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/LeroyDyer_CheckPoint_A/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "CheckPoint_A",
+    "id": "LeroyDyer/CheckPoint_A",
+    "developer": "LeroyDyer",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4513
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4748
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0589
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2836
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4231
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.288
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/LeroyDyer/CheckPoint_A/771366a5-e227-4ff8-b60f-744020994bec.json b/data/hfopenllm_v2/LeroyDyer/CheckPoint_A/771366a5-e227-4ff8-b60f-744020994bec.json
deleted file mode 100644
index b00336018..000000000
--- a/data/hfopenllm_v2/LeroyDyer/CheckPoint_A/771366a5-e227-4ff8-b60f-744020994bec.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/LeroyDyer_CheckPoint_A/1762652579.714355",
-  "retrieved_timestamp": "1762652579.714355",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "LeroyDyer/CheckPoint_A",
-    "developer": "LeroyDyer",
-    "inference_platform": "unknown",
-    "id": "LeroyDyer/CheckPoint_A",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.45127927233074905
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4747699745968042
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.05891238670694864
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2835570469798658
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4230833333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.28798204787234044
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/LeroyDyer/CheckPoint_B/4e44fd55-9538-4065-8763-5d1c3d00be5d.json b/data/hfopenllm_v2/LeroyDyer/CheckPoint_B/4e44fd55-9538-4065-8763-5d1c3d00be5d.json
deleted file mode 100644
index a4c8589b1..000000000
--- a/data/hfopenllm_v2/LeroyDyer/CheckPoint_B/4e44fd55-9538-4065-8763-5d1c3d00be5d.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/LeroyDyer_CheckPoint_B/1762652579.7146208",
-  "retrieved_timestamp": "1762652579.714622",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "LeroyDyer/CheckPoint_B",
-    "developer": "LeroyDyer",
-    "inference_platform": "unknown",
-    "id": "LeroyDyer/CheckPoint_B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4439852923576111
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.47799475378324896
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.07175226586102719
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2902684563758389
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.38984375
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.29072473404255317
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/LeroyDyer/CheckPoint_B/50743107-30de-4c5d-bf83-cc003af8a5db.json b/data/hfopenllm_v2/LeroyDyer/CheckPoint_B/50743107-30de-4c5d-bf83-cc003af8a5db.json
new file mode 100644
index 000000000..c87445cfa
--- /dev/null
+++ b/data/hfopenllm_v2/LeroyDyer/CheckPoint_B/50743107-30de-4c5d-bf83-cc003af8a5db.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/LeroyDyer_CheckPoint_B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "CheckPoint_B",
+    "id": "LeroyDyer/CheckPoint_B",
+    "developer": "LeroyDyer",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.444
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.478
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0718
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2903
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3898
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2907
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/LeroyDyer/CheckPoint_C/625ee1b3-e0a1-4a86-83a4-6e66b380f864.json b/data/hfopenllm_v2/LeroyDyer/CheckPoint_C/625ee1b3-e0a1-4a86-83a4-6e66b380f864.json
new file mode 100644
index 000000000..27af86b1d
--- /dev/null
+++ b/data/hfopenllm_v2/LeroyDyer/CheckPoint_C/625ee1b3-e0a1-4a86-83a4-6e66b380f864.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/LeroyDyer_CheckPoint_C/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "CheckPoint_C",
+    "id": "LeroyDyer/CheckPoint_C",
+    "developer": "LeroyDyer",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3477
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4586
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0551
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.271
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4346
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3021
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/LeroyDyer/CheckPoint_C/a4fe370d-1722-4fdf-bf75-8416baeaba19.json b/data/hfopenllm_v2/LeroyDyer/CheckPoint_C/a4fe370d-1722-4fdf-bf75-8416baeaba19.json
deleted file mode 100644
index 801c921e6..000000000
--- a/data/hfopenllm_v2/LeroyDyer/CheckPoint_C/a4fe370d-1722-4fdf-bf75-8416baeaba19.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/LeroyDyer_CheckPoint_C/1762652579.714836",
-  "retrieved_timestamp": "1762652579.714837",
-  "source_data": [
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diff --git a/data/hfopenllm_v2/LeroyDyer/CheckPoint_R1/7eba2aef-5c97-4526-92a8-d62bd5b59b6f.json b/data/hfopenllm_v2/LeroyDyer/CheckPoint_R1/7eba2aef-5c97-4526-92a8-d62bd5b59b6f.json
deleted file mode 100644
index 9c62a0f94..000000000
--- a/data/hfopenllm_v2/LeroyDyer/CheckPoint_R1/7eba2aef-5c97-4526-92a8-d62bd5b59b6f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
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-  "model_info": {
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-    "developer": "LeroyDyer",
-    "inference_platform": "unknown",
-    "id": "LeroyDyer/CheckPoint_R1",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
-    }
-  },
-  "evaluation_results": [
-    {
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-        "lower_is_better": false,
-        "score_type": "continuous",
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-        "max_score": 1
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-      "score_details": {
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-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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diff --git a/data/hfopenllm_v2/LeroyDyer/CheckPoint_R1/89fda762-1989-4850-837c-f79ef538c58c.json b/data/hfopenllm_v2/LeroyDyer/CheckPoint_R1/89fda762-1989-4850-837c-f79ef538c58c.json
new file mode 100644
index 000000000..5131c24dd
--- /dev/null
+++ b/data/hfopenllm_v2/LeroyDyer/CheckPoint_R1/89fda762-1989-4850-837c-f79ef538c58c.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/LeroyDyer_CheckPoint_R1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "CheckPoint_R1",
+    "id": "LeroyDyer/CheckPoint_R1",
+    "developer": "LeroyDyer",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1728
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4225
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0431
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2743
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4031
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2205
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/LeroyDyer/LCARS_AI_001/1de1f906-0e36-4f79-b159-16ef8ee33ab3.json b/data/hfopenllm_v2/LeroyDyer/LCARS_AI_001/1de1f906-0e36-4f79-b159-16ef8ee33ab3.json
new file mode 100644
index 000000000..f13e5d9d1
--- /dev/null
+++ b/data/hfopenllm_v2/LeroyDyer/LCARS_AI_001/1de1f906-0e36-4f79-b159-16ef8ee33ab3.json
@@ -0,0 +1,132 @@
+{
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+  "evaluation_id": "hfopenllm_v2/LeroyDyer_LCARS_AI_001/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "LCARS_AI_001",
+    "id": "LeroyDyer/LCARS_AI_001",
+    "developer": "LeroyDyer",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3109
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4258
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0234
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2634
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4384
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.267
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/LeroyDyer/LCARS_AI_001/f6b84bde-67aa-4c50-a46e-1f80605037de.json b/data/hfopenllm_v2/LeroyDyer/LCARS_AI_001/f6b84bde-67aa-4c50-a46e-1f80605037de.json
deleted file mode 100644
index c84073928..000000000
--- a/data/hfopenllm_v2/LeroyDyer/LCARS_AI_001/f6b84bde-67aa-4c50-a46e-1f80605037de.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/LeroyDyer_LCARS_AI_001/1762652579.7152472",
-  "retrieved_timestamp": "1762652579.715248",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "LeroyDyer/LCARS_AI_001",
-    "developer": "LeroyDyer",
-    "inference_platform": "unknown",
-    "id": "LeroyDyer/LCARS_AI_001",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.31094495937445976
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.023413897280966767
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2634228187919463
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.43836458333333334
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2670378989361702
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/LeroyDyer/LCARS_AI_1x4_003_SuperAI/d8588222-9e4b-47c1-9f86-92f47c9c8e38.json b/data/hfopenllm_v2/LeroyDyer/LCARS_AI_1x4_003_SuperAI/d8588222-9e4b-47c1-9f86-92f47c9c8e38.json
new file mode 100644
index 000000000..a513ad18e
--- /dev/null
+++ b/data/hfopenllm_v2/LeroyDyer/LCARS_AI_1x4_003_SuperAI/d8588222-9e4b-47c1-9f86-92f47c9c8e38.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/LeroyDyer_LCARS_AI_1x4_003_SuperAI/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "LCARS_AI_1x4_003_SuperAI",
+    "id": "LeroyDyer/LCARS_AI_1x4_003_SuperAI",
+    "developer": "LeroyDyer",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "MixtralForCausalLM",
+      "params_billions": 24.154
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4111
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.492
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0574
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2827
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4506
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2972
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/LeroyDyer/LCARS_AI_1x4_003_SuperAI/db8614eb-2b53-460c-a80b-dceb47a9703f.json b/data/hfopenllm_v2/LeroyDyer/LCARS_AI_1x4_003_SuperAI/db8614eb-2b53-460c-a80b-dceb47a9703f.json
deleted file mode 100644
index 5aa81e6c1..000000000
--- a/data/hfopenllm_v2/LeroyDyer/LCARS_AI_1x4_003_SuperAI/db8614eb-2b53-460c-a80b-dceb47a9703f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/LeroyDyer_LCARS_AI_1x4_003_SuperAI/1762652579.7154438",
-  "retrieved_timestamp": "1762652579.715445",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "LeroyDyer/LCARS_AI_1x4_003_SuperAI",
-    "developer": "LeroyDyer",
-    "inference_platform": "unknown",
-    "id": "LeroyDyer/LCARS_AI_1x4_003_SuperAI",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "MixtralForCausalLM",
-      "params_billions": 24.154
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41111251479407973
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.49198503573704794
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.05740181268882175
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2827181208053691
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4506145833333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.29720744680851063
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/LeroyDyer/LCARS_AI_StarTrek_Computer/15e6e6e6-39fa-424f-ba12-5f209cd4b2cc.json b/data/hfopenllm_v2/LeroyDyer/LCARS_AI_StarTrek_Computer/15e6e6e6-39fa-424f-ba12-5f209cd4b2cc.json
new file mode 100644
index 000000000..c31ece219
--- /dev/null
+++ b/data/hfopenllm_v2/LeroyDyer/LCARS_AI_StarTrek_Computer/15e6e6e6-39fa-424f-ba12-5f209cd4b2cc.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/LeroyDyer_LCARS_AI_StarTrek_Computer/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "LCARS_AI_StarTrek_Computer",
+    "id": "LeroyDyer/LCARS_AI_StarTrek_Computer",
+    "developer": "LeroyDyer",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3583
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4446
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0408
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2676
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.395
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2458
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/LeroyDyer/LCARS_AI_StarTrek_Computer/a3e19823-43ac-44ac-9dee-960a98139fa8.json b/data/hfopenllm_v2/LeroyDyer/LCARS_AI_StarTrek_Computer/a3e19823-43ac-44ac-9dee-960a98139fa8.json
deleted file mode 100644
index 578fb254f..000000000
--- a/data/hfopenllm_v2/LeroyDyer/LCARS_AI_StarTrek_Computer/a3e19823-43ac-44ac-9dee-960a98139fa8.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/LeroyDyer_LCARS_AI_StarTrek_Computer/1762652579.7157388",
-  "retrieved_timestamp": "1762652579.715741",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "LeroyDyer/LCARS_AI_StarTrek_Computer",
-    "developer": "LeroyDyer",
-    "inference_platform": "unknown",
-    "id": "LeroyDyer/LCARS_AI_StarTrek_Computer",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.35825609383103496
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4446191188748297
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.04078549848942598
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2676174496644295
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3950208333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.24584441489361702
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/LeroyDyer/LCARS_TOP_SCORE/04631aa2-f1fd-4aea-ba88-53b474c71fe8.json b/data/hfopenllm_v2/LeroyDyer/LCARS_TOP_SCORE/04631aa2-f1fd-4aea-ba88-53b474c71fe8.json
deleted file mode 100644
index e88a29783..000000000
--- a/data/hfopenllm_v2/LeroyDyer/LCARS_TOP_SCORE/04631aa2-f1fd-4aea-ba88-53b474c71fe8.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/LeroyDyer_LCARS_TOP_SCORE/1762652579.716028",
-  "retrieved_timestamp": "1762652579.716029",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "LeroyDyer/LCARS_TOP_SCORE",
-    "developer": "LeroyDyer",
-    "inference_platform": "unknown",
-    "id": "LeroyDyer/LCARS_TOP_SCORE",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.43706587410293574
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
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-        "max_score": 1
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-    },
-    {
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-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
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-        "score_type": "continuous",
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-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-  ]
-}
diff --git a/data/hfopenllm_v2/LeroyDyer/LCARS_TOP_SCORE/81225b85-1523-49c1-b770-897112d2e6ae.json b/data/hfopenllm_v2/LeroyDyer/LCARS_TOP_SCORE/81225b85-1523-49c1-b770-897112d2e6ae.json
new file mode 100644
index 000000000..6e727e47a
--- /dev/null
+++ b/data/hfopenllm_v2/LeroyDyer/LCARS_TOP_SCORE/81225b85-1523-49c1-b770-897112d2e6ae.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/LeroyDyer_LCARS_TOP_SCORE/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "LCARS_TOP_SCORE",
+    "id": "LeroyDyer/LCARS_TOP_SCORE",
+    "developer": "LeroyDyer",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4371
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5127
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0672
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2861
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4293
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+    {
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+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/LeroyDyer/Mixtral_AI_SwahiliTron_7b/254deaf7-a253-4d41-a10d-1143f86b288c.json b/data/hfopenllm_v2/LeroyDyer/Mixtral_AI_SwahiliTron_7b/254deaf7-a253-4d41-a10d-1143f86b288c.json
new file mode 100644
index 000000000..3ffc415fc
--- /dev/null
+++ b/data/hfopenllm_v2/LeroyDyer/Mixtral_AI_SwahiliTron_7b/254deaf7-a253-4d41-a10d-1143f86b288c.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/LeroyDyer_Mixtral_AI_SwahiliTron_7b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Mixtral_AI_SwahiliTron_7b",
+    "id": "LeroyDyer/Mixtral_AI_SwahiliTron_7b",
+    "developer": "LeroyDyer",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1534
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3055
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
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+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.342
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+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1208
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/LeroyDyer/Mixtral_AI_SwahiliTron_7b/4f5fadb6-5fad-4b82-a027-1d4f497dc476.json b/data/hfopenllm_v2/LeroyDyer/Mixtral_AI_SwahiliTron_7b/4f5fadb6-5fad-4b82-a027-1d4f497dc476.json
deleted file mode 100644
index e8d73b227..000000000
--- a/data/hfopenllm_v2/LeroyDyer/Mixtral_AI_SwahiliTron_7b/4f5fadb6-5fad-4b82-a027-1d4f497dc476.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/LeroyDyer_Mixtral_AI_SwahiliTron_7b/1762652579.716297",
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-  "source_data": [
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
-    "name": "LeroyDyer/Mixtral_AI_SwahiliTron_7b",
-    "developer": "LeroyDyer",
-    "inference_platform": "unknown",
-    "id": "LeroyDyer/Mixtral_AI_SwahiliTron_7b",
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-      "precision": "float16",
-      "architecture": "MistralForCausalLM",
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-      "evaluation_name": "IFEval",
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-        "max_score": 1
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-        "score_type": "continuous",
-        "min_score": 0,
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-    }
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-}
diff --git a/data/hfopenllm_v2/LeroyDyer/SpydazWebAI_Human_AGI/8e1f811e-3e86-4440-a5dd-bf607aa02ad6.json b/data/hfopenllm_v2/LeroyDyer/SpydazWebAI_Human_AGI/8e1f811e-3e86-4440-a5dd-bf607aa02ad6.json
deleted file mode 100644
index 93897c70e..000000000
--- a/data/hfopenllm_v2/LeroyDyer/SpydazWebAI_Human_AGI/8e1f811e-3e86-4440-a5dd-bf607aa02ad6.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
-    "name": "LeroyDyer/SpydazWebAI_Human_AGI",
-    "developer": "LeroyDyer",
-    "inference_platform": "unknown",
-    "id": "LeroyDyer/SpydazWebAI_Human_AGI",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
-    }
-  },
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-    {
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-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
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-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/LeroyDyer/SpydazWebAI_Human_AGI/ba0b66f5-724a-4a6b-ac20-a36d530a8b4b.json b/data/hfopenllm_v2/LeroyDyer/SpydazWebAI_Human_AGI/ba0b66f5-724a-4a6b-ac20-a36d530a8b4b.json
new file mode 100644
index 000000000..93ca501b0
--- /dev/null
+++ b/data/hfopenllm_v2/LeroyDyer/SpydazWebAI_Human_AGI/ba0b66f5-724a-4a6b-ac20-a36d530a8b4b.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/LeroyDyer_SpydazWebAI_Human_AGI/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "SpydazWebAI_Human_AGI",
+    "id": "LeroyDyer/SpydazWebAI_Human_AGI",
+    "developer": "LeroyDyer",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3388
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3375
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0144
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2827
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3966
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1479
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/LeroyDyer/SpydazWebAI_Human_AGI_001/a4c9a905-1a7c-406a-ab38-6a5e71ed0bf5.json b/data/hfopenllm_v2/LeroyDyer/SpydazWebAI_Human_AGI_001/a4c9a905-1a7c-406a-ab38-6a5e71ed0bf5.json
deleted file mode 100644
index 3c4236180..000000000
--- a/data/hfopenllm_v2/LeroyDyer/SpydazWebAI_Human_AGI_001/a4c9a905-1a7c-406a-ab38-6a5e71ed0bf5.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/LeroyDyer_SpydazWebAI_Human_AGI_001/1762652579.716855",
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-  "source_data": [
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-    "source_name": "HF Open LLM v2",
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-  "model_info": {
-    "name": "LeroyDyer/SpydazWebAI_Human_AGI_001",
-    "developer": "LeroyDyer",
-    "inference_platform": "unknown",
-    "id": "LeroyDyer/SpydazWebAI_Human_AGI_001",
-    "additional_details": {
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diff --git a/data/hfopenllm_v2/LeroyDyer/SpydazWebAI_Human_AGI_001/eed0b3b4-e277-49ee-aed5-f3599b2d5653.json b/data/hfopenllm_v2/LeroyDyer/SpydazWebAI_Human_AGI_001/eed0b3b4-e277-49ee-aed5-f3599b2d5653.json
new file mode 100644
index 000000000..03d018a11
--- /dev/null
+++ b/data/hfopenllm_v2/LeroyDyer/SpydazWebAI_Human_AGI_001/eed0b3b4-e277-49ee-aed5-f3599b2d5653.json
@@ -0,0 +1,132 @@
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+    "id": "LeroyDyer/SpydazWebAI_Human_AGI_001",
+    "developer": "LeroyDyer",
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+      }
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
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+        "evaluation_description": "Accuracy on BBH",
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+        "max_score": 1.0
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+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/LeroyDyer/SpydazWeb_AI_CyberTron_Ultra_7b/96a21b6e-ed47-40fb-85cd-15924330e60d.json b/data/hfopenllm_v2/LeroyDyer/SpydazWeb_AI_CyberTron_Ultra_7b/96a21b6e-ed47-40fb-85cd-15924330e60d.json
new file mode 100644
index 000000000..faca52fe7
--- /dev/null
+++ b/data/hfopenllm_v2/LeroyDyer/SpydazWeb_AI_CyberTron_Ultra_7b/96a21b6e-ed47-40fb-85cd-15924330e60d.json
@@ -0,0 +1,132 @@
+{
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+  "evaluation_id": "hfopenllm_v2/LeroyDyer_SpydazWeb_AI_CyberTron_Ultra_7b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "SpydazWeb_AI_CyberTron_Ultra_7b",
+    "id": "LeroyDyer/SpydazWeb_AI_CyberTron_Ultra_7b",
+    "developer": "LeroyDyer",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
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+        "source_type": "hf_dataset",
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+      },
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+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+      "score_details": {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
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+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
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+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
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+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+      "score_details": {
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+      }
+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
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+      },
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+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/LeroyDyer/SpydazWeb_AI_CyberTron_Ultra_7b/e8b992b8-9f0a-4bfb-ab53-3b07ca1ca117.json b/data/hfopenllm_v2/LeroyDyer/SpydazWeb_AI_CyberTron_Ultra_7b/e8b992b8-9f0a-4bfb-ab53-3b07ca1ca117.json
deleted file mode 100644
index d7b1e2b5a..000000000
--- a/data/hfopenllm_v2/LeroyDyer/SpydazWeb_AI_CyberTron_Ultra_7b/e8b992b8-9f0a-4bfb-ab53-3b07ca1ca117.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/LeroyDyer/SpydazWeb_AI_HumanAGI_001_M2/daa704a9-2eed-4549-a847-3606c9e8a733.json b/data/hfopenllm_v2/LeroyDyer/SpydazWeb_AI_HumanAGI_001_M2/daa704a9-2eed-4549-a847-3606c9e8a733.json
deleted file mode 100644
index 3e54b39ec..000000000
--- a/data/hfopenllm_v2/LeroyDyer/SpydazWeb_AI_HumanAGI_001_M2/daa704a9-2eed-4549-a847-3606c9e8a733.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-        "score_type": "continuous",
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-        "max_score": 1
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-    {
-      "evaluation_name": "MMLU-PRO",
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-        "lower_is_better": false,
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diff --git a/data/hfopenllm_v2/LeroyDyer/SpydazWeb_AI_HumanAGI_001_M2/f41f5471-6384-4510-85d2-41f236082583.json b/data/hfopenllm_v2/LeroyDyer/SpydazWeb_AI_HumanAGI_001_M2/f41f5471-6384-4510-85d2-41f236082583.json
new file mode 100644
index 000000000..0b361a56c
--- /dev/null
+++ b/data/hfopenllm_v2/LeroyDyer/SpydazWeb_AI_HumanAGI_001_M2/f41f5471-6384-4510-85d2-41f236082583.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/LeroyDyer_SpydazWeb_AI_HumanAGI_001_M2/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "SpydazWeb_AI_HumanAGI_001_M2",
+    "id": "LeroyDyer/SpydazWeb_AI_HumanAGI_001_M2",
+    "developer": "LeroyDyer",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+        "score": 0.4888
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
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+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
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+    {
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+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2894
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+    },
+    {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+    {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3005
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+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/LeroyDyer/SpydazWeb_AI_HumanAGI_002/2728eccc-525f-4350-901b-dbc352c78014.json b/data/hfopenllm_v2/LeroyDyer/SpydazWeb_AI_HumanAGI_002/2728eccc-525f-4350-901b-dbc352c78014.json
new file mode 100644
index 000000000..0eb676741
--- /dev/null
+++ b/data/hfopenllm_v2/LeroyDyer/SpydazWeb_AI_HumanAGI_002/2728eccc-525f-4350-901b-dbc352c78014.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/LeroyDyer_SpydazWeb_AI_HumanAGI_002/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "SpydazWeb_AI_HumanAGI_002",
+    "id": "LeroyDyer/SpydazWeb_AI_HumanAGI_002",
+    "developer": "LeroyDyer",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4088
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5044
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2869
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4865
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+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3059
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/LeroyDyer/SpydazWeb_AI_HumanAGI_002/3a6cfbae-80c1-4ec6-9c14-1ddeeb6e7138.json b/data/hfopenllm_v2/LeroyDyer/SpydazWeb_AI_HumanAGI_002/3a6cfbae-80c1-4ec6-9c14-1ddeeb6e7138.json
deleted file mode 100644
index 9223cce85..000000000
--- a/data/hfopenllm_v2/LeroyDyer/SpydazWeb_AI_HumanAGI_002/3a6cfbae-80c1-4ec6-9c14-1ddeeb6e7138.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/LeroyDyer_SpydazWeb_AI_HumanAGI_002/1762652579.71767",
-  "retrieved_timestamp": "1762652579.7176719",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "LeroyDyer/SpydazWeb_AI_HumanAGI_002",
-    "developer": "LeroyDyer",
-    "inference_platform": "unknown",
-    "id": "LeroyDyer/SpydazWeb_AI_HumanAGI_002",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.40876430094371824
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5043871825389313
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.06646525679758308
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.28691275167785235
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.48648958333333336
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3058510638297872
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/LeroyDyer/SpydazWeb_AI_HumanAI_001/3e7ae935-46c3-427c-8713-41c659c1828a.json b/data/hfopenllm_v2/LeroyDyer/SpydazWeb_AI_HumanAI_001/3e7ae935-46c3-427c-8713-41c659c1828a.json
new file mode 100644
index 000000000..f6494cb5b
--- /dev/null
+++ b/data/hfopenllm_v2/LeroyDyer/SpydazWeb_AI_HumanAI_001/3e7ae935-46c3-427c-8713-41c659c1828a.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/LeroyDyer_SpydazWeb_AI_HumanAI_001/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "SpydazWeb_AI_HumanAI_001",
+    "id": "LeroyDyer/SpydazWeb_AI_HumanAI_001",
+    "developer": "LeroyDyer",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2252
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3344
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0166
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2886
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.386
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1271
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/LeroyDyer/SpydazWeb_AI_HumanAI_001/f177b7f7-7143-4f72-9f9d-54fe2bc9797b.json b/data/hfopenllm_v2/LeroyDyer/SpydazWeb_AI_HumanAI_001/f177b7f7-7143-4f72-9f9d-54fe2bc9797b.json
deleted file mode 100644
index 5d943268c..000000000
--- a/data/hfopenllm_v2/LeroyDyer/SpydazWeb_AI_HumanAI_001/f177b7f7-7143-4f72-9f9d-54fe2bc9797b.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/LeroyDyer_SpydazWeb_AI_HumanAI_001/1762652579.717986",
-  "retrieved_timestamp": "1762652579.717987",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "LeroyDyer/SpydazWeb_AI_HumanAI_001",
-    "developer": "LeroyDyer",
-    "inference_platform": "unknown",
-    "id": "LeroyDyer/SpydazWeb_AI_HumanAI_001",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.22516589316347294
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.33440360243051986
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.01661631419939577
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.28859060402684567
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.38603125
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1270777925531915
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/LeroyDyer/SpydazWeb_AI_HumanAI_006/66782676-c942-4aff-b754-b96cd96cf1f9.json b/data/hfopenllm_v2/LeroyDyer/SpydazWeb_AI_HumanAI_006/66782676-c942-4aff-b754-b96cd96cf1f9.json
new file mode 100644
index 000000000..9408883d4
--- /dev/null
+++ b/data/hfopenllm_v2/LeroyDyer/SpydazWeb_AI_HumanAI_006/66782676-c942-4aff-b754-b96cd96cf1f9.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/LeroyDyer_SpydazWeb_AI_HumanAI_006/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "SpydazWeb_AI_HumanAI_006",
+    "id": "LeroyDyer/SpydazWeb_AI_HumanAI_006",
+    "developer": "LeroyDyer",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.143
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3302
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0106
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2802
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3568
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1135
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/LeroyDyer/SpydazWeb_AI_HumanAI_006/cdbebbea-4749-472b-8cec-5da5ffa96d65.json b/data/hfopenllm_v2/LeroyDyer/SpydazWeb_AI_HumanAI_006/cdbebbea-4749-472b-8cec-5da5ffa96d65.json
deleted file mode 100644
index 125a57771..000000000
--- a/data/hfopenllm_v2/LeroyDyer/SpydazWeb_AI_HumanAI_006/cdbebbea-4749-472b-8cec-5da5ffa96d65.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/LeroyDyer/SpydazWeb_AI_HumanAI_007/3143a635-10da-4cb5-9c2f-eae2988d9e60.json b/data/hfopenllm_v2/LeroyDyer/SpydazWeb_AI_HumanAI_007/3143a635-10da-4cb5-9c2f-eae2988d9e60.json
deleted file mode 100644
index 5441e16d6..000000000
--- a/data/hfopenllm_v2/LeroyDyer/SpydazWeb_AI_HumanAI_007/3143a635-10da-4cb5-9c2f-eae2988d9e60.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
-    "name": "LeroyDyer/SpydazWeb_AI_HumanAI_007",
-    "developer": "LeroyDyer",
-    "inference_platform": "unknown",
-    "id": "LeroyDyer/SpydazWeb_AI_HumanAI_007",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
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-        "lower_is_better": false,
-        "score_type": "continuous",
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-        "max_score": 1
-      },
-      "score_details": {
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-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-}
diff --git a/data/hfopenllm_v2/LeroyDyer/SpydazWeb_AI_HumanAI_007/941a9e27-2ac4-4dab-a6d0-cb9319c79a27.json b/data/hfopenllm_v2/LeroyDyer/SpydazWeb_AI_HumanAI_007/941a9e27-2ac4-4dab-a6d0-cb9319c79a27.json
new file mode 100644
index 000000000..fd4a7fc65
--- /dev/null
+++ b/data/hfopenllm_v2/LeroyDyer/SpydazWeb_AI_HumanAI_007/941a9e27-2ac4-4dab-a6d0-cb9319c79a27.json
@@ -0,0 +1,132 @@
+{
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+  "evaluation_id": "hfopenllm_v2/LeroyDyer_SpydazWeb_AI_HumanAI_007/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "SpydazWeb_AI_HumanAI_007",
+    "id": "LeroyDyer/SpydazWeb_AI_HumanAI_007",
+    "developer": "LeroyDyer",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3352
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3416
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0227
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2886
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4096
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+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1352
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/LeroyDyer/SpydazWeb_AI_HumanAI_009_CHAT/a6d3b7b1-8834-4b74-8849-6d80381c46f5.json b/data/hfopenllm_v2/LeroyDyer/SpydazWeb_AI_HumanAI_009_CHAT/a6d3b7b1-8834-4b74-8849-6d80381c46f5.json
deleted file mode 100644
index bcb8f07eb..000000000
--- a/data/hfopenllm_v2/LeroyDyer/SpydazWeb_AI_HumanAI_009_CHAT/a6d3b7b1-8834-4b74-8849-6d80381c46f5.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "source_data": [
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "LeroyDyer/SpydazWeb_AI_HumanAI_009_CHAT",
-    "developer": "LeroyDyer",
-    "inference_platform": "unknown",
-    "id": "LeroyDyer/SpydazWeb_AI_HumanAI_009_CHAT",
-    "additional_details": {
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-        "score_type": "continuous",
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-        "max_score": 1
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-    {
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-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41375
-      }
-    },
-    {
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-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1432845744680851
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-}
diff --git a/data/hfopenllm_v2/LeroyDyer/SpydazWeb_AI_HumanAI_009_CHAT/caf93f75-530e-4f4d-9cc0-2cf9b0a7f2ff.json b/data/hfopenllm_v2/LeroyDyer/SpydazWeb_AI_HumanAI_009_CHAT/caf93f75-530e-4f4d-9cc0-2cf9b0a7f2ff.json
new file mode 100644
index 000000000..67f16d3b2
--- /dev/null
+++ b/data/hfopenllm_v2/LeroyDyer/SpydazWeb_AI_HumanAI_009_CHAT/caf93f75-530e-4f4d-9cc0-2cf9b0a7f2ff.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/LeroyDyer_SpydazWeb_AI_HumanAI_009_CHAT/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "SpydazWeb_AI_HumanAI_009_CHAT",
+    "id": "LeroyDyer/SpydazWeb_AI_HumanAI_009_CHAT",
+    "developer": "LeroyDyer",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2973
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3307
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0166
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.281
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4138
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1433
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/LeroyDyer/SpydazWeb_AI_HumanAI_010_CHAT/7f53cef7-fba6-4802-93a2-b54f82a32d74.json b/data/hfopenllm_v2/LeroyDyer/SpydazWeb_AI_HumanAI_010_CHAT/7f53cef7-fba6-4802-93a2-b54f82a32d74.json
deleted file mode 100644
index ade547392..000000000
--- a/data/hfopenllm_v2/LeroyDyer/SpydazWeb_AI_HumanAI_010_CHAT/7f53cef7-fba6-4802-93a2-b54f82a32d74.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/LeroyDyer_SpydazWeb_AI_HumanAI_010_CHAT/1762652579.7189271",
-  "retrieved_timestamp": "1762652579.7189288",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "LeroyDyer/SpydazWeb_AI_HumanAI_010_CHAT",
-    "developer": "LeroyDyer",
-    "inference_platform": "unknown",
-    "id": "LeroyDyer/SpydazWeb_AI_HumanAI_010_CHAT",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
-    }
-  },
-  "evaluation_results": [
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diff --git a/data/hfopenllm_v2/LeroyDyer/SpydazWeb_AI_HumanAI_010_CHAT/d3ca0458-ee97-4a4c-a6a9-066880ffefb5.json b/data/hfopenllm_v2/LeroyDyer/SpydazWeb_AI_HumanAI_010_CHAT/d3ca0458-ee97-4a4c-a6a9-066880ffefb5.json
new file mode 100644
index 000000000..3fc4a754a
--- /dev/null
+++ b/data/hfopenllm_v2/LeroyDyer/SpydazWeb_AI_HumanAI_010_CHAT/d3ca0458-ee97-4a4c-a6a9-066880ffefb5.json
@@ -0,0 +1,132 @@
+{
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+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
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+  "model_info": {
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+    "id": "LeroyDyer/SpydazWeb_AI_HumanAI_010_CHAT",
+    "developer": "LeroyDyer",
+    "inference_platform": "unknown",
+    "additional_details": {
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+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
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+      },
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+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/LeroyDyer/SpydazWeb_AI_HumanAI_011_INSTRUCT/615bf89b-9357-46f4-82ed-f49b0021da01.json b/data/hfopenllm_v2/LeroyDyer/SpydazWeb_AI_HumanAI_011_INSTRUCT/615bf89b-9357-46f4-82ed-f49b0021da01.json
new file mode 100644
index 000000000..877f891f4
--- /dev/null
+++ b/data/hfopenllm_v2/LeroyDyer/SpydazWeb_AI_HumanAI_011_INSTRUCT/615bf89b-9357-46f4-82ed-f49b0021da01.json
@@ -0,0 +1,132 @@
+{
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+  "evaluation_id": "hfopenllm_v2/LeroyDyer_SpydazWeb_AI_HumanAI_011_INSTRUCT/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
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+    "id": "LeroyDyer/SpydazWeb_AI_HumanAI_011_INSTRUCT",
+    "developer": "LeroyDyer",
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
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+      },
+      "score_details": {
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+    },
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
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+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
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+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/LeroyDyer/SpydazWeb_AI_HumanAI_011_INSTRUCT/bc7bf4d0-45e9-4b37-8e5f-edc92fb1bd66.json b/data/hfopenllm_v2/LeroyDyer/SpydazWeb_AI_HumanAI_011_INSTRUCT/bc7bf4d0-45e9-4b37-8e5f-edc92fb1bd66.json
deleted file mode 100644
index def47f5f4..000000000
--- a/data/hfopenllm_v2/LeroyDyer/SpydazWeb_AI_HumanAI_011_INSTRUCT/bc7bf4d0-45e9-4b37-8e5f-edc92fb1bd66.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/LeroyDyer/SpydazWeb_AI_HumanAI_011_INSTRUCT_ML/06398630-23ad-4000-8ea2-fcca230568d7.json b/data/hfopenllm_v2/LeroyDyer/SpydazWeb_AI_HumanAI_011_INSTRUCT_ML/06398630-23ad-4000-8ea2-fcca230568d7.json
new file mode 100644
index 000000000..5534cf616
--- /dev/null
+++ b/data/hfopenllm_v2/LeroyDyer/SpydazWeb_AI_HumanAI_011_INSTRUCT_ML/06398630-23ad-4000-8ea2-fcca230568d7.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/LeroyDyer_SpydazWeb_AI_HumanAI_011_INSTRUCT_ML/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "SpydazWeb_AI_HumanAI_011_INSTRUCT_ML",
+    "id": "LeroyDyer/SpydazWeb_AI_HumanAI_011_INSTRUCT_ML",
+    "developer": "LeroyDyer",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
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+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2928
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4239
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+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2019
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/LeroyDyer/SpydazWeb_AI_HumanAI_011_INSTRUCT_ML/fbd83964-530c-4d0e-a305-9f8451affb23.json b/data/hfopenllm_v2/LeroyDyer/SpydazWeb_AI_HumanAI_011_INSTRUCT_ML/fbd83964-530c-4d0e-a305-9f8451affb23.json
deleted file mode 100644
index 17444d216..000000000
--- a/data/hfopenllm_v2/LeroyDyer/SpydazWeb_AI_HumanAI_011_INSTRUCT_ML/fbd83964-530c-4d0e-a305-9f8451affb23.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-    "source_type": "documentation"
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diff --git a/data/hfopenllm_v2/LeroyDyer/SpydazWeb_AI_HumanAI_011_INSTRUCT_ML_r1/10d76569-edca-47db-abf2-1d0fd73df198.json b/data/hfopenllm_v2/LeroyDyer/SpydazWeb_AI_HumanAI_011_INSTRUCT_ML_r1/10d76569-edca-47db-abf2-1d0fd73df198.json
deleted file mode 100644
index 37f7f0c71..000000000
--- a/data/hfopenllm_v2/LeroyDyer/SpydazWeb_AI_HumanAI_011_INSTRUCT_ML_r1/10d76569-edca-47db-abf2-1d0fd73df198.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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diff --git a/data/hfopenllm_v2/LeroyDyer/SpydazWeb_AI_HumanAI_011_INSTRUCT_ML_r1/bdfa30f8-da0f-418f-adaf-caafda4c81a5.json b/data/hfopenllm_v2/LeroyDyer/SpydazWeb_AI_HumanAI_011_INSTRUCT_ML_r1/bdfa30f8-da0f-418f-adaf-caafda4c81a5.json
new file mode 100644
index 000000000..9e0ca9e6d
--- /dev/null
+++ b/data/hfopenllm_v2/LeroyDyer/SpydazWeb_AI_HumanAI_011_INSTRUCT_ML_r1/bdfa30f8-da0f-418f-adaf-caafda4c81a5.json
@@ -0,0 +1,132 @@
+{
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+  "evaluation_id": "hfopenllm_v2/LeroyDyer_SpydazWeb_AI_HumanAI_011_INSTRUCT_ML_r1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "SpydazWeb_AI_HumanAI_011_INSTRUCT_ML_r1",
+    "id": "LeroyDyer/SpydazWeb_AI_HumanAI_011_INSTRUCT_ML_r1",
+    "developer": "LeroyDyer",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "max_score": 1.0
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+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
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+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
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+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
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+    }
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/LeroyDyer/SpydazWeb_AI_HumanAI_012_INSTRUCT_IA/431f8459-3c12-4260-a158-c58ec910590d.json b/data/hfopenllm_v2/LeroyDyer/SpydazWeb_AI_HumanAI_012_INSTRUCT_IA/431f8459-3c12-4260-a158-c58ec910590d.json
deleted file mode 100644
index 7c50d7aa9..000000000
--- a/data/hfopenllm_v2/LeroyDyer/SpydazWeb_AI_HumanAI_012_INSTRUCT_IA/431f8459-3c12-4260-a158-c58ec910590d.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/LeroyDyer/SpydazWeb_AI_HumanAI_012_INSTRUCT_IA/bcd8c141-d286-4567-bb06-934e546a5c7c.json b/data/hfopenllm_v2/LeroyDyer/SpydazWeb_AI_HumanAI_012_INSTRUCT_IA/bcd8c141-d286-4567-bb06-934e546a5c7c.json
deleted file mode 100644
index 290912f51..000000000
--- a/data/hfopenllm_v2/LeroyDyer/SpydazWeb_AI_HumanAI_012_INSTRUCT_IA/bcd8c141-d286-4567-bb06-934e546a5c7c.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-    "id": "LeroyDyer/SpydazWeb_AI_HumanAI_012_INSTRUCT_IA",
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diff --git a/data/hfopenllm_v2/LeroyDyer/SpydazWeb_AI_HumanAI_012_INSTRUCT_IA/bd5e550c-5355-4e01-bafc-2ca89899253a.json b/data/hfopenllm_v2/LeroyDyer/SpydazWeb_AI_HumanAI_012_INSTRUCT_IA/bd5e550c-5355-4e01-bafc-2ca89899253a.json
new file mode 100644
index 000000000..05508c5e5
--- /dev/null
+++ b/data/hfopenllm_v2/LeroyDyer/SpydazWeb_AI_HumanAI_012_INSTRUCT_IA/bd5e550c-5355-4e01-bafc-2ca89899253a.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/LeroyDyer_SpydazWeb_AI_HumanAI_012_INSTRUCT_IA/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "SpydazWeb_AI_HumanAI_012_INSTRUCT_IA",
+    "id": "LeroyDyer/SpydazWeb_AI_HumanAI_012_INSTRUCT_IA",
+    "developer": "LeroyDyer",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0446
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
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+        "hf_repo": "TAUR-Lab/MuSR"
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+        "lower_is_better": false,
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+        "max_score": 1.0
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
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+        "evaluation_description": "Accuracy on MMLU-PRO",
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/LeroyDyer/SpydazWeb_AI_HumanAI_012_INSTRUCT_IA/f842ad5b-24f0-419b-9d65-5a6ff1f5e04b.json b/data/hfopenllm_v2/LeroyDyer/SpydazWeb_AI_HumanAI_012_INSTRUCT_IA/f842ad5b-24f0-419b-9d65-5a6ff1f5e04b.json
new file mode 100644
index 000000000..6bafa117f
--- /dev/null
+++ b/data/hfopenllm_v2/LeroyDyer/SpydazWeb_AI_HumanAI_012_INSTRUCT_IA/f842ad5b-24f0-419b-9d65-5a6ff1f5e04b.json
@@ -0,0 +1,132 @@
+{
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+  "evaluation_id": "hfopenllm_v2/LeroyDyer_SpydazWeb_AI_HumanAI_012_INSTRUCT_IA/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "SpydazWeb_AI_HumanAI_012_INSTRUCT_IA",
+    "id": "LeroyDyer/SpydazWeb_AI_HumanAI_012_INSTRUCT_IA",
+    "developer": "LeroyDyer",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
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+      },
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+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
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+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
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+        "min_score": 0.0,
+        "max_score": 1.0
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+        "hf_repo": "Idavidrein/gpqa"
+      },
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+        "score_type": "continuous",
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+        "max_score": 1.0
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+      }
+    },
+    {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
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+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4253
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2329
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/LeroyDyer/SpydazWeb_AI_HumanAI_012_INSTRUCT_MX/3a09590f-28f3-4161-8a93-d42cec62aa90.json b/data/hfopenllm_v2/LeroyDyer/SpydazWeb_AI_HumanAI_012_INSTRUCT_MX/3a09590f-28f3-4161-8a93-d42cec62aa90.json
new file mode 100644
index 000000000..fad8789d2
--- /dev/null
+++ b/data/hfopenllm_v2/LeroyDyer/SpydazWeb_AI_HumanAI_012_INSTRUCT_MX/3a09590f-28f3-4161-8a93-d42cec62aa90.json
@@ -0,0 +1,132 @@
+{
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+  "evaluation_id": "hfopenllm_v2/LeroyDyer_SpydazWeb_AI_HumanAI_012_INSTRUCT_MX/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "SpydazWeb_AI_HumanAI_012_INSTRUCT_MX",
+    "id": "LeroyDyer/SpydazWeb_AI_HumanAI_012_INSTRUCT_MX",
+    "developer": "LeroyDyer",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
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+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+      }
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+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
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+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
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+        "min_score": 0.0,
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+      }
+    },
+    {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+    },
+    {
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+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
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+      },
+      "score_details": {
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+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/LeroyDyer/SpydazWeb_AI_HumanAI_012_INSTRUCT_MX/9cc77018-d090-4202-bcf5-d0031097b84e.json b/data/hfopenllm_v2/LeroyDyer/SpydazWeb_AI_HumanAI_012_INSTRUCT_MX/9cc77018-d090-4202-bcf5-d0031097b84e.json
deleted file mode 100644
index b5b76c0a1..000000000
--- a/data/hfopenllm_v2/LeroyDyer/SpydazWeb_AI_HumanAI_012_INSTRUCT_MX/9cc77018-d090-4202-bcf5-d0031097b84e.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/LeroyDyer/SpydazWeb_AI_HumanAI_012_INSTRUCT_XA/0b365c44-3cc2-4149-8614-7de6b6c2581d.json b/data/hfopenllm_v2/LeroyDyer/SpydazWeb_AI_HumanAI_012_INSTRUCT_XA/0b365c44-3cc2-4149-8614-7de6b6c2581d.json
deleted file mode 100644
index 8a03bab0f..000000000
--- a/data/hfopenllm_v2/LeroyDyer/SpydazWeb_AI_HumanAI_012_INSTRUCT_XA/0b365c44-3cc2-4149-8614-7de6b6c2581d.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-    "inference_platform": "unknown",
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-    "additional_details": {
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diff --git a/data/hfopenllm_v2/LeroyDyer/SpydazWeb_AI_HumanAI_012_INSTRUCT_XA/0f6b76ca-c4b8-40b2-a3af-2ea1c3650933.json b/data/hfopenllm_v2/LeroyDyer/SpydazWeb_AI_HumanAI_012_INSTRUCT_XA/0f6b76ca-c4b8-40b2-a3af-2ea1c3650933.json
new file mode 100644
index 000000000..33826b74e
--- /dev/null
+++ b/data/hfopenllm_v2/LeroyDyer/SpydazWeb_AI_HumanAI_012_INSTRUCT_XA/0f6b76ca-c4b8-40b2-a3af-2ea1c3650933.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/LeroyDyer_SpydazWeb_AI_HumanAI_012_INSTRUCT_XA/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "SpydazWeb_AI_HumanAI_012_INSTRUCT_XA",
+    "id": "LeroyDyer/SpydazWeb_AI_HumanAI_012_INSTRUCT_XA",
+    "developer": "LeroyDyer",
+    "inference_platform": "unknown",
+    "additional_details": {
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+  "evaluation_results": [
+    {
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+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
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+        "hf_repo": "SaylorTwift/bbh"
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+      "metric_config": {
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+    {
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+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
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+    {
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+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3096
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4134
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2376
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/LeroyDyer/SpydazWeb_AI_HumanAI_012_INSTRUCT_XA/dc90b971-313a-4a76-b042-350adf37a43c.json b/data/hfopenllm_v2/LeroyDyer/SpydazWeb_AI_HumanAI_012_INSTRUCT_XA/dc90b971-313a-4a76-b042-350adf37a43c.json
deleted file mode 100644
index cba8c5e62..000000000
--- a/data/hfopenllm_v2/LeroyDyer/SpydazWeb_AI_HumanAI_012_INSTRUCT_XA/dc90b971-313a-4a76-b042-350adf37a43c.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/LeroyDyer_SpydazWeb_AI_HumanAI_012_INSTRUCT_XA/1762652579.720855",
-  "retrieved_timestamp": "1762652579.720855",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "LeroyDyer/SpydazWeb_AI_HumanAI_012_INSTRUCT_XA",
-    "developer": "LeroyDyer",
-    "inference_platform": "unknown",
-    "id": "LeroyDyer/SpydazWeb_AI_HumanAI_012_INSTRUCT_XA",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37976347203198624
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.44827466097749213
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.04003021148036254
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.31291946308724833
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4148020833333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2388630319148936
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/LeroyDyer/SpydazWeb_AI_HumanAI_012_INSTRUCT_XA/f276ad54-4e3b-4718-ae1f-0479565e4565.json b/data/hfopenllm_v2/LeroyDyer/SpydazWeb_AI_HumanAI_012_INSTRUCT_XA/f276ad54-4e3b-4718-ae1f-0479565e4565.json
new file mode 100644
index 000000000..4d6c638c9
--- /dev/null
+++ b/data/hfopenllm_v2/LeroyDyer/SpydazWeb_AI_HumanAI_012_INSTRUCT_XA/f276ad54-4e3b-4718-ae1f-0479565e4565.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/LeroyDyer_SpydazWeb_AI_HumanAI_012_INSTRUCT_XA/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "SpydazWeb_AI_HumanAI_012_INSTRUCT_XA",
+    "id": "LeroyDyer/SpydazWeb_AI_HumanAI_012_INSTRUCT_XA",
+    "developer": "LeroyDyer",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3798
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4483
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.04
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3129
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4148
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2389
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/LeroyDyer/SpydazWeb_AI_HumanAI_RP/a4a38b96-036f-40db-8a0b-024a36f004f5.json b/data/hfopenllm_v2/LeroyDyer/SpydazWeb_AI_HumanAI_RP/a4a38b96-036f-40db-8a0b-024a36f004f5.json
deleted file mode 100644
index 0fb38b40e..000000000
--- a/data/hfopenllm_v2/LeroyDyer/SpydazWeb_AI_HumanAI_RP/a4a38b96-036f-40db-8a0b-024a36f004f5.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/LeroyDyer_SpydazWeb_AI_HumanAI_RP/1762652579.721039",
-  "retrieved_timestamp": "1762652579.7210398",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "LeroyDyer/SpydazWeb_AI_HumanAI_RP",
-    "developer": "LeroyDyer",
-    "inference_platform": "unknown",
-    "id": "LeroyDyer/SpydazWeb_AI_HumanAI_RP",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2541168543907942
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.33230179059744286
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.01283987915407855
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2751677852348993
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3882604166666666
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1323969414893617
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/LeroyDyer/SpydazWeb_AI_HumanAI_RP/dec20396-6555-4773-bf02-2cd1fcedda89.json b/data/hfopenllm_v2/LeroyDyer/SpydazWeb_AI_HumanAI_RP/dec20396-6555-4773-bf02-2cd1fcedda89.json
new file mode 100644
index 000000000..35280576b
--- /dev/null
+++ b/data/hfopenllm_v2/LeroyDyer/SpydazWeb_AI_HumanAI_RP/dec20396-6555-4773-bf02-2cd1fcedda89.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/LeroyDyer_SpydazWeb_AI_HumanAI_RP/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "SpydazWeb_AI_HumanAI_RP",
+    "id": "LeroyDyer/SpydazWeb_AI_HumanAI_RP",
+    "developer": "LeroyDyer",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2541
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3323
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0128
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2752
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3883
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1324
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/LeroyDyer/SpydazWeb_AI_HumanAI_TextVision/558a0ed7-a667-421e-bbab-094b46274239.json b/data/hfopenllm_v2/LeroyDyer/SpydazWeb_AI_HumanAI_TextVision/558a0ed7-a667-421e-bbab-094b46274239.json
deleted file mode 100644
index a5aec11da..000000000
--- a/data/hfopenllm_v2/LeroyDyer/SpydazWeb_AI_HumanAI_TextVision/558a0ed7-a667-421e-bbab-094b46274239.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/LeroyDyer_SpydazWeb_AI_HumanAI_TextVision/1762652579.7212439",
-  "retrieved_timestamp": "1762652579.7212448",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "LeroyDyer/SpydazWeb_AI_HumanAI_TextVision",
-    "developer": "LeroyDyer",
-    "inference_platform": "unknown",
-    "id": "LeroyDyer/SpydazWeb_AI_HumanAI_TextVision",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3062740196013245
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.33536617928965984
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.014350453172205438
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.29194630872483224
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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diff --git a/data/hfopenllm_v2/LeroyDyer/SpydazWeb_AI_HumanAI_TextVision/eebc33e1-0016-4adf-815a-72653a34c01b.json b/data/hfopenllm_v2/LeroyDyer/SpydazWeb_AI_HumanAI_TextVision/eebc33e1-0016-4adf-815a-72653a34c01b.json
new file mode 100644
index 000000000..b478f0a27
--- /dev/null
+++ b/data/hfopenllm_v2/LeroyDyer/SpydazWeb_AI_HumanAI_TextVision/eebc33e1-0016-4adf-815a-72653a34c01b.json
@@ -0,0 +1,132 @@
+{
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+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "SpydazWeb_AI_HumanAI_TextVision",
+    "id": "LeroyDyer/SpydazWeb_AI_HumanAI_TextVision",
+    "developer": "LeroyDyer",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
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+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+    {
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+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
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+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/LeroyDyer/SpydazWeb_HumanAI_M1/803c3898-c1a6-4832-ac3a-a86139489810.json b/data/hfopenllm_v2/LeroyDyer/SpydazWeb_HumanAI_M1/803c3898-c1a6-4832-ac3a-a86139489810.json
new file mode 100644
index 000000000..0bd353a92
--- /dev/null
+++ b/data/hfopenllm_v2/LeroyDyer/SpydazWeb_HumanAI_M1/803c3898-c1a6-4832-ac3a-a86139489810.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/LeroyDyer_SpydazWeb_HumanAI_M1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "SpydazWeb_HumanAI_M1",
+    "id": "LeroyDyer/SpydazWeb_HumanAI_M1",
+    "developer": "LeroyDyer",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
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+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+    },
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
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+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+      },
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+      }
+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
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+      },
+      "score_details": {
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+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/LeroyDyer/SpydazWeb_HumanAI_M1/ee856df0-01ea-4f06-9323-951144c9e82f.json b/data/hfopenllm_v2/LeroyDyer/SpydazWeb_HumanAI_M1/ee856df0-01ea-4f06-9323-951144c9e82f.json
deleted file mode 100644
index ec5d7961d..000000000
--- a/data/hfopenllm_v2/LeroyDyer/SpydazWeb_HumanAI_M1/ee856df0-01ea-4f06-9323-951144c9e82f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/LeroyDyer/SpydazWeb_HumanAI_M2/4ea0436d-6ec9-40db-af56-2f7f1b0317df.json b/data/hfopenllm_v2/LeroyDyer/SpydazWeb_HumanAI_M2/4ea0436d-6ec9-40db-af56-2f7f1b0317df.json
deleted file mode 100644
index e492255dc..000000000
--- a/data/hfopenllm_v2/LeroyDyer/SpydazWeb_HumanAI_M2/4ea0436d-6ec9-40db-af56-2f7f1b0317df.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-    "developer": "LeroyDyer",
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-    {
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-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-}
diff --git a/data/hfopenllm_v2/LeroyDyer/SpydazWeb_HumanAI_M2/bfaa3d3e-66fd-4477-85af-4b83f13ff05b.json b/data/hfopenllm_v2/LeroyDyer/SpydazWeb_HumanAI_M2/bfaa3d3e-66fd-4477-85af-4b83f13ff05b.json
new file mode 100644
index 000000000..3df076af2
--- /dev/null
+++ b/data/hfopenllm_v2/LeroyDyer/SpydazWeb_HumanAI_M2/bfaa3d3e-66fd-4477-85af-4b83f13ff05b.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/LeroyDyer_SpydazWeb_HumanAI_M2/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "SpydazWeb_HumanAI_M2",
+    "id": "LeroyDyer/SpydazWeb_HumanAI_M2",
+    "developer": "LeroyDyer",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
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+  "evaluation_results": [
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
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+        "dataset_name": "BBH",
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+        "hf_repo": "SaylorTwift/bbh"
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+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
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+    {
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+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
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+    {
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+        "hf_repo": "Idavidrein/gpqa"
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+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
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+        "score": 0.2794
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+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
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+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
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+        "score": 0.3751
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+    {
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+        "hf_repo": "TIGER-Lab/MMLU-Pro"
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+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
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+        "max_score": 1.0
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+      "score_details": {
+        "score": 0.201
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+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/LeroyDyer/SpydazWeb_HumanAI_M3/99debdd2-1dea-4eb6-be5c-c144656cfe20.json b/data/hfopenllm_v2/LeroyDyer/SpydazWeb_HumanAI_M3/99debdd2-1dea-4eb6-be5c-c144656cfe20.json
new file mode 100644
index 000000000..5211d3064
--- /dev/null
+++ b/data/hfopenllm_v2/LeroyDyer/SpydazWeb_HumanAI_M3/99debdd2-1dea-4eb6-be5c-c144656cfe20.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/LeroyDyer_SpydazWeb_HumanAI_M3/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "SpydazWeb_HumanAI_M3",
+    "id": "LeroyDyer/SpydazWeb_HumanAI_M3",
+    "developer": "LeroyDyer",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1579
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3127
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0091
+      }
+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.271
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3914
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1149
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/LeroyDyer/SpydazWeb_HumanAI_M3/d5dd0be3-e7a7-4636-b513-3c1d5532807f.json b/data/hfopenllm_v2/LeroyDyer/SpydazWeb_HumanAI_M3/d5dd0be3-e7a7-4636-b513-3c1d5532807f.json
deleted file mode 100644
index 517a7bac2..000000000
--- a/data/hfopenllm_v2/LeroyDyer/SpydazWeb_HumanAI_M3/d5dd0be3-e7a7-4636-b513-3c1d5532807f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/LeroyDyer_SpydazWeb_HumanAI_M3/1762652579.721856",
-  "retrieved_timestamp": "1762652579.721857",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "LeroyDyer/SpydazWeb_HumanAI_M3",
-    "developer": "LeroyDyer",
-    "inference_platform": "unknown",
-    "id": "LeroyDyer/SpydazWeb_HumanAI_M3",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1578711153073844
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-    {
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-        "lower_is_better": false,
-        "score_type": "continuous",
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-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2709731543624161
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3914270833333333
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11486037234042554
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/LeroyDyer/_Spydaz_Web_AI_12/ad67bb88-7f74-4eb4-b771-0b3b60be4416.json b/data/hfopenllm_v2/LeroyDyer/_Spydaz_Web_AI_12/ad67bb88-7f74-4eb4-b771-0b3b60be4416.json
new file mode 100644
index 000000000..8fb0a66ae
--- /dev/null
+++ b/data/hfopenllm_v2/LeroyDyer/_Spydaz_Web_AI_12/ad67bb88-7f74-4eb4-b771-0b3b60be4416.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/LeroyDyer__Spydaz_Web_AI_12/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "_Spydaz_Web_AI_12",
+    "id": "LeroyDyer/_Spydaz_Web_AI_12",
+    "developer": "LeroyDyer",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2765
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3163
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0136
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2685
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3582
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1137
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/LeroyDyer/_Spydaz_Web_AI_12/b4b57280-49db-4a07-929f-dbe2f222250c.json b/data/hfopenllm_v2/LeroyDyer/_Spydaz_Web_AI_12/b4b57280-49db-4a07-929f-dbe2f222250c.json
deleted file mode 100644
index 97ade8581..000000000
--- a/data/hfopenllm_v2/LeroyDyer/_Spydaz_Web_AI_12/b4b57280-49db-4a07-929f-dbe2f222250c.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/LeroyDyer__Spydaz_Web_AI_12/1762652579.722054",
-  "retrieved_timestamp": "1762652579.722055",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "LeroyDyer/_Spydaz_Web_AI_12",
-    "developer": "LeroyDyer",
-    "inference_platform": "unknown",
-    "id": "LeroyDyer/_Spydaz_Web_AI_12",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-    },
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-        "score_type": "continuous",
-        "min_score": 0,
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-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
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-    },
-    {
-      "evaluation_name": "GPQA",
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-      "score_details": {
-        "score": 0.2684563758389262
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.35815624999999995
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11369680851063829
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-  ]
-}
diff --git a/data/hfopenllm_v2/LeroyDyer/_Spydaz_Web_AI_14/6233aac6-0ce3-4f3c-8ee0-87d2482d3ea2.json b/data/hfopenllm_v2/LeroyDyer/_Spydaz_Web_AI_14/6233aac6-0ce3-4f3c-8ee0-87d2482d3ea2.json
deleted file mode 100644
index 96293b9ca..000000000
--- a/data/hfopenllm_v2/LeroyDyer/_Spydaz_Web_AI_14/6233aac6-0ce3-4f3c-8ee0-87d2482d3ea2.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/LeroyDyer__Spydaz_Web_AI_14/1762652579.722256",
-  "retrieved_timestamp": "1762652579.722257",
-  "source_data": [
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-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "LeroyDyer/_Spydaz_Web_AI_14",
-    "developer": "LeroyDyer",
-    "inference_platform": "unknown",
-    "id": "LeroyDyer/_Spydaz_Web_AI_14",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
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diff --git a/data/hfopenllm_v2/LeroyDyer/_Spydaz_Web_AI_14/af2f579d-1e8a-47d8-8e44-a599bee83e37.json b/data/hfopenllm_v2/LeroyDyer/_Spydaz_Web_AI_14/af2f579d-1e8a-47d8-8e44-a599bee83e37.json
new file mode 100644
index 000000000..6d3423046
--- /dev/null
+++ b/data/hfopenllm_v2/LeroyDyer/_Spydaz_Web_AI_14/af2f579d-1e8a-47d8-8e44-a599bee83e37.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/LeroyDyer__Spydaz_Web_AI_14/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "_Spydaz_Web_AI_14",
+    "id": "LeroyDyer/_Spydaz_Web_AI_14",
+    "developer": "LeroyDyer",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1812
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2989
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0121
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2659
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3395
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1139
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/LeroyDyer/_Spydaz_Web_AI_AGI_R1_001/51d4724b-c85c-4ad4-a4bd-9be93cd99a2a.json b/data/hfopenllm_v2/LeroyDyer/_Spydaz_Web_AI_AGI_R1_001/51d4724b-c85c-4ad4-a4bd-9be93cd99a2a.json
deleted file mode 100644
index 68c0ecdb1..000000000
--- a/data/hfopenllm_v2/LeroyDyer/_Spydaz_Web_AI_AGI_R1_001/51d4724b-c85c-4ad4-a4bd-9be93cd99a2a.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/LeroyDyer__Spydaz_Web_AI_AGI_R1_001/1762652579.72245",
-  "retrieved_timestamp": "1762652579.722451",
-  "source_data": [
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-  "source_metadata": {
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "LeroyDyer/_Spydaz_Web_AI_AGI_R1_001",
-    "developer": "LeroyDyer",
-    "inference_platform": "unknown",
-    "id": "LeroyDyer/_Spydaz_Web_AI_AGI_R1_001",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
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-  "evaluation_results": [
-    {
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-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-        "lower_is_better": false,
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-        "min_score": 0,
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-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42559375
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2734375
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/LeroyDyer/_Spydaz_Web_AI_AGI_R1_001/763c840e-ea73-453e-8e54-5f4fd6fda9cd.json b/data/hfopenllm_v2/LeroyDyer/_Spydaz_Web_AI_AGI_R1_001/763c840e-ea73-453e-8e54-5f4fd6fda9cd.json
new file mode 100644
index 000000000..5e467d10a
--- /dev/null
+++ b/data/hfopenllm_v2/LeroyDyer/_Spydaz_Web_AI_AGI_R1_001/763c840e-ea73-453e-8e54-5f4fd6fda9cd.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/LeroyDyer__Spydaz_Web_AI_AGI_R1_001/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "_Spydaz_Web_AI_AGI_R1_001",
+    "id": "LeroyDyer/_Spydaz_Web_AI_AGI_R1_001",
+    "developer": "LeroyDyer",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4505
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4609
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0634
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2676
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4256
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2734
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/LeroyDyer/_Spydaz_Web_AI_AGI_R1_002/4fb40ac4-a637-4b9a-b69d-ba551c0f0938.json b/data/hfopenllm_v2/LeroyDyer/_Spydaz_Web_AI_AGI_R1_002/4fb40ac4-a637-4b9a-b69d-ba551c0f0938.json
new file mode 100644
index 000000000..bedce984a
--- /dev/null
+++ b/data/hfopenllm_v2/LeroyDyer/_Spydaz_Web_AI_AGI_R1_002/4fb40ac4-a637-4b9a-b69d-ba551c0f0938.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/LeroyDyer__Spydaz_Web_AI_AGI_R1_002/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "_Spydaz_Web_AI_AGI_R1_002",
+    "id": "LeroyDyer/_Spydaz_Web_AI_AGI_R1_002",
+    "developer": "LeroyDyer",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5307
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4683
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0582
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2685
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4255
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2894
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/LeroyDyer/_Spydaz_Web_AI_AGI_R1_002/86e8ff02-0dd2-4023-ab18-359d24a8a4fd.json b/data/hfopenllm_v2/LeroyDyer/_Spydaz_Web_AI_AGI_R1_002/86e8ff02-0dd2-4023-ab18-359d24a8a4fd.json
deleted file mode 100644
index 70c59eb0e..000000000
--- a/data/hfopenllm_v2/LeroyDyer/_Spydaz_Web_AI_AGI_R1_002/86e8ff02-0dd2-4023-ab18-359d24a8a4fd.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/LeroyDyer__Spydaz_Web_AI_AGI_R1_002/1762652579.7226508",
-  "retrieved_timestamp": "1762652579.7226508",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "LeroyDyer/_Spydaz_Web_AI_AGI_R1_002",
-    "developer": "LeroyDyer",
-    "inference_platform": "unknown",
-    "id": "LeroyDyer/_Spydaz_Web_AI_AGI_R1_002",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
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-  },
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-    {
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-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
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-        "score_type": "continuous",
-        "min_score": 0,
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-    {
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-        "lower_is_better": false,
-        "score_type": "continuous",
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-    {
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-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2684563758389262
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42546875
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.28939494680851063
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/LeroyDyer/_Spydaz_Web_AI_AGI_R1_MUSR/285688d5-c7ad-437b-a54c-9e6108d85267.json b/data/hfopenllm_v2/LeroyDyer/_Spydaz_Web_AI_AGI_R1_MUSR/285688d5-c7ad-437b-a54c-9e6108d85267.json
deleted file mode 100644
index a16fcf294..000000000
--- a/data/hfopenllm_v2/LeroyDyer/_Spydaz_Web_AI_AGI_R1_MUSR/285688d5-c7ad-437b-a54c-9e6108d85267.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/LeroyDyer__Spydaz_Web_AI_AGI_R1_MUSR/1762652579.722848",
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-  "source_data": [
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-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "LeroyDyer/_Spydaz_Web_AI_AGI_R1_MUSR",
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-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
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-        "lower_is_better": false,
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-        "min_score": 0,
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diff --git a/data/hfopenllm_v2/LeroyDyer/_Spydaz_Web_AI_AGI_R1_MUSR/ffc4ef41-4a28-4816-be54-8ffd8e153073.json b/data/hfopenllm_v2/LeroyDyer/_Spydaz_Web_AI_AGI_R1_MUSR/ffc4ef41-4a28-4816-be54-8ffd8e153073.json
new file mode 100644
index 000000000..ccb933fa1
--- /dev/null
+++ b/data/hfopenllm_v2/LeroyDyer/_Spydaz_Web_AI_AGI_R1_MUSR/ffc4ef41-4a28-4816-be54-8ffd8e153073.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/LeroyDyer__Spydaz_Web_AI_AGI_R1_MUSR/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "_Spydaz_Web_AI_AGI_R1_MUSR",
+    "id": "LeroyDyer/_Spydaz_Web_AI_AGI_R1_MUSR",
+    "developer": "LeroyDyer",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4786
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4672
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0604
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2844
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4869
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2828
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/LeroyDyer/_Spydaz_Web_AI_AGI_R1_MasterCoder/85ce2909-a5f9-413a-8719-cd0a66874535.json b/data/hfopenllm_v2/LeroyDyer/_Spydaz_Web_AI_AGI_R1_MasterCoder/85ce2909-a5f9-413a-8719-cd0a66874535.json
deleted file mode 100644
index dd0ed2f7f..000000000
--- a/data/hfopenllm_v2/LeroyDyer/_Spydaz_Web_AI_AGI_R1_MasterCoder/85ce2909-a5f9-413a-8719-cd0a66874535.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/LeroyDyer__Spydaz_Web_AI_AGI_R1_MasterCoder/1762652579.723048",
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-  "source_data": [
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-  "source_metadata": {
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "LeroyDyer/_Spydaz_Web_AI_AGI_R1_MasterCoder",
-    "developer": "LeroyDyer",
-    "inference_platform": "unknown",
-    "id": "LeroyDyer/_Spydaz_Web_AI_AGI_R1_MasterCoder",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
-    }
-  },
-  "evaluation_results": [
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-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "BBH",
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-      },
-      "score_details": {
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-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
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-        "lower_is_better": false,
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-        "lower_is_better": false,
-        "score_type": "continuous",
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-    },
-    {
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-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.47197916666666667
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.27194148936170215
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/LeroyDyer/_Spydaz_Web_AI_AGI_R1_MasterCoder/f75fe902-f1c7-4e6c-87d6-128688db8d94.json b/data/hfopenllm_v2/LeroyDyer/_Spydaz_Web_AI_AGI_R1_MasterCoder/f75fe902-f1c7-4e6c-87d6-128688db8d94.json
new file mode 100644
index 000000000..b1dc3496d
--- /dev/null
+++ b/data/hfopenllm_v2/LeroyDyer/_Spydaz_Web_AI_AGI_R1_MasterCoder/f75fe902-f1c7-4e6c-87d6-128688db8d94.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/LeroyDyer__Spydaz_Web_AI_AGI_R1_MasterCoder/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "_Spydaz_Web_AI_AGI_R1_MasterCoder",
+    "id": "LeroyDyer/_Spydaz_Web_AI_AGI_R1_MasterCoder",
+    "developer": "LeroyDyer",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4143
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4689
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0612
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.276
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.472
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2719
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/LeroyDyer/_Spydaz_Web_AI_AGI_R1_Math_001/8a7df636-f1bb-4a74-bb7f-8a412edf6bd1.json b/data/hfopenllm_v2/LeroyDyer/_Spydaz_Web_AI_AGI_R1_Math_001/8a7df636-f1bb-4a74-bb7f-8a412edf6bd1.json
deleted file mode 100644
index d06e90a31..000000000
--- a/data/hfopenllm_v2/LeroyDyer/_Spydaz_Web_AI_AGI_R1_Math_001/8a7df636-f1bb-4a74-bb7f-8a412edf6bd1.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/LeroyDyer__Spydaz_Web_AI_AGI_R1_Math_001/1762652579.723258",
-  "retrieved_timestamp": "1762652579.723258",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "LeroyDyer/_Spydaz_Web_AI_AGI_R1_Math_001",
-    "developer": "LeroyDyer",
-    "inference_platform": "unknown",
-    "id": "LeroyDyer/_Spydaz_Web_AI_AGI_R1_Math_001",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4571492528712705
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.48178882135920675
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.06948640483383686
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.27684563758389263
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.47784375000000007
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2681183510638298
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/LeroyDyer/_Spydaz_Web_AI_AGI_R1_Math_001/dbd3098b-4532-441b-a81c-072c52579be6.json b/data/hfopenllm_v2/LeroyDyer/_Spydaz_Web_AI_AGI_R1_Math_001/dbd3098b-4532-441b-a81c-072c52579be6.json
new file mode 100644
index 000000000..96985ae3e
--- /dev/null
+++ b/data/hfopenllm_v2/LeroyDyer/_Spydaz_Web_AI_AGI_R1_Math_001/dbd3098b-4532-441b-a81c-072c52579be6.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/LeroyDyer__Spydaz_Web_AI_AGI_R1_Math_001/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "_Spydaz_Web_AI_AGI_R1_Math_001",
+    "id": "LeroyDyer/_Spydaz_Web_AI_AGI_R1_Math_001",
+    "developer": "LeroyDyer",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4571
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
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+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2768
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4778
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2681
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/LeroyDyer/_Spydaz_Web_AI_AGI_R1_Math_003/438e4aa3-5e02-446e-bd3a-07ef724d24ff.json b/data/hfopenllm_v2/LeroyDyer/_Spydaz_Web_AI_AGI_R1_Math_003/438e4aa3-5e02-446e-bd3a-07ef724d24ff.json
new file mode 100644
index 000000000..d2edae906
--- /dev/null
+++ b/data/hfopenllm_v2/LeroyDyer/_Spydaz_Web_AI_AGI_R1_Math_003/438e4aa3-5e02-446e-bd3a-07ef724d24ff.json
@@ -0,0 +1,132 @@
+{
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+  "evaluation_id": "hfopenllm_v2/LeroyDyer__Spydaz_Web_AI_AGI_R1_Math_003/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "_Spydaz_Web_AI_AGI_R1_Math_003",
+    "id": "LeroyDyer/_Spydaz_Web_AI_AGI_R1_Math_003",
+    "developer": "LeroyDyer",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.62
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4756
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
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+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.281
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4202
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2999
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/LeroyDyer/_Spydaz_Web_AI_AGI_R1_Math_003/79336acd-d465-4938-af7f-f7a688f46fd4.json b/data/hfopenllm_v2/LeroyDyer/_Spydaz_Web_AI_AGI_R1_Math_003/79336acd-d465-4938-af7f-f7a688f46fd4.json
deleted file mode 100644
index 9527058ea..000000000
--- a/data/hfopenllm_v2/LeroyDyer/_Spydaz_Web_AI_AGI_R1_Math_003/79336acd-d465-4938-af7f-f7a688f46fd4.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/LeroyDyer__Spydaz_Web_AI_AGI_R1_Math_003/1762652579.723467",
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-  "source_data": [
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-  ],
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "LeroyDyer/_Spydaz_Web_AI_AGI_R1_Math_003",
-    "developer": "LeroyDyer",
-    "inference_platform": "unknown",
-    "id": "LeroyDyer/_Spydaz_Web_AI_AGI_R1_Math_003",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
-    }
-  },
-  "evaluation_results": [
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-      "score_details": {
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-    {
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-        "lower_is_better": false,
-        "score_type": "continuous",
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-    },
-    {
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-        "lower_is_better": false,
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-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42019791666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.29986702127659576
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/LeroyDyer/_Spydaz_Web_AI_AGI_R1_Math_AdvancedStudent/027fdc55-61eb-416c-b6ad-4408912d151b.json b/data/hfopenllm_v2/LeroyDyer/_Spydaz_Web_AI_AGI_R1_Math_AdvancedStudent/027fdc55-61eb-416c-b6ad-4408912d151b.json
new file mode 100644
index 000000000..e3bc05a1b
--- /dev/null
+++ b/data/hfopenllm_v2/LeroyDyer/_Spydaz_Web_AI_AGI_R1_Math_AdvancedStudent/027fdc55-61eb-416c-b6ad-4408912d151b.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/LeroyDyer__Spydaz_Web_AI_AGI_R1_Math_AdvancedStudent/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "_Spydaz_Web_AI_AGI_R1_Math_AdvancedStudent",
+    "id": "LeroyDyer/_Spydaz_Web_AI_AGI_R1_Math_AdvancedStudent",
+    "developer": "LeroyDyer",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5951
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4927
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0544
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2919
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5198
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/LeroyDyer/_Spydaz_Web_AI_AGI_R1_Math_AdvancedStudent/ed000ee0-4193-46c4-8114-2ea3dbfec9f7.json b/data/hfopenllm_v2/LeroyDyer/_Spydaz_Web_AI_AGI_R1_Math_AdvancedStudent/ed000ee0-4193-46c4-8114-2ea3dbfec9f7.json
deleted file mode 100644
index 764d89509..000000000
--- a/data/hfopenllm_v2/LeroyDyer/_Spydaz_Web_AI_AGI_R1_Math_AdvancedStudent/ed000ee0-4193-46c4-8114-2ea3dbfec9f7.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/LeroyDyer__Spydaz_Web_AI_AGI_R1_Math_AdvancedStudent/1762652579.7236722",
-  "retrieved_timestamp": "1762652579.7236722",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "LeroyDyer/_Spydaz_Web_AI_AGI_R1_Math_AdvancedStudent",
-    "developer": "LeroyDyer",
-    "inference_platform": "unknown",
-    "id": "LeroyDyer/_Spydaz_Web_AI_AGI_R1_Math_AdvancedStudent",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5950854842927876
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
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-    },
-    {
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-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.29194630872483224
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5198229166666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2999501329787234
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/LeroyDyer/_Spydaz_Web_AI_AGI_R1_Math_Student/37a4895d-def5-494d-9b62-d8c97ba9350b.json b/data/hfopenllm_v2/LeroyDyer/_Spydaz_Web_AI_AGI_R1_Math_Student/37a4895d-def5-494d-9b62-d8c97ba9350b.json
new file mode 100644
index 000000000..d67104ff1
--- /dev/null
+++ b/data/hfopenllm_v2/LeroyDyer/_Spydaz_Web_AI_AGI_R1_Math_Student/37a4895d-def5-494d-9b62-d8c97ba9350b.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/LeroyDyer__Spydaz_Web_AI_AGI_R1_Math_Student/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "_Spydaz_Web_AI_AGI_R1_Math_Student",
+    "id": "LeroyDyer/_Spydaz_Web_AI_AGI_R1_Math_Student",
+    "developer": "LeroyDyer",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5736
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4881
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0514
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2903
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5098
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2927
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/LeroyDyer/_Spydaz_Web_AI_AGI_R1_Math_Student/89f92d24-19c1-4021-819d-9c7ed717046c.json b/data/hfopenllm_v2/LeroyDyer/_Spydaz_Web_AI_AGI_R1_Math_Student/89f92d24-19c1-4021-819d-9c7ed717046c.json
deleted file mode 100644
index 082a3205c..000000000
--- a/data/hfopenllm_v2/LeroyDyer/_Spydaz_Web_AI_AGI_R1_Math_Student/89f92d24-19c1-4021-819d-9c7ed717046c.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/LeroyDyer__Spydaz_Web_AI_AGI_R1_Math_Student/1762652579.723874",
-  "retrieved_timestamp": "1762652579.723874",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "LeroyDyer/_Spydaz_Web_AI_AGI_R1_Math_Student",
-    "developer": "LeroyDyer",
-    "inference_platform": "unknown",
-    "id": "LeroyDyer/_Spydaz_Web_AI_AGI_R1_Math_Student",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5735781060918363
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.48808115770970123
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.0513595166163142
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2902684563758389
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.50975
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.292719414893617
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/LeroyDyer/_Spydaz_Web_AI_AGI_R1_Math_Teacher/0d53c27e-962c-428f-b540-35ab027883a8.json b/data/hfopenllm_v2/LeroyDyer/_Spydaz_Web_AI_AGI_R1_Math_Teacher/0d53c27e-962c-428f-b540-35ab027883a8.json
new file mode 100644
index 000000000..173bb8257
--- /dev/null
+++ b/data/hfopenllm_v2/LeroyDyer/_Spydaz_Web_AI_AGI_R1_Math_Teacher/0d53c27e-962c-428f-b540-35ab027883a8.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/LeroyDyer__Spydaz_Web_AI_AGI_R1_Math_Teacher/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "_Spydaz_Web_AI_AGI_R1_Math_Teacher",
+    "id": "LeroyDyer/_Spydaz_Web_AI_AGI_R1_Math_Teacher",
+    "developer": "LeroyDyer",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5772
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4805
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0544
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2861
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5222
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2956
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/LeroyDyer/_Spydaz_Web_AI_AGI_R1_Math_Teacher/24fa44cb-86d9-4e67-be8f-42f7fc574d52.json b/data/hfopenllm_v2/LeroyDyer/_Spydaz_Web_AI_AGI_R1_Math_Teacher/24fa44cb-86d9-4e67-be8f-42f7fc574d52.json
deleted file mode 100644
index d2ac5567d..000000000
--- a/data/hfopenllm_v2/LeroyDyer/_Spydaz_Web_AI_AGI_R1_Math_Teacher/24fa44cb-86d9-4e67-be8f-42f7fc574d52.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/LeroyDyer__Spydaz_Web_AI_AGI_R1_Math_Teacher/1762652579.7241092",
-  "retrieved_timestamp": "1762652579.7241101",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "LeroyDyer/_Spydaz_Web_AI_AGI_R1_Math_Teacher",
-    "developer": "LeroyDyer",
-    "inference_platform": "unknown",
-    "id": "LeroyDyer/_Spydaz_Web_AI_AGI_R1_Math_Teacher",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5772250960784053
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4805094960871836
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.054380664652567974
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2860738255033557
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5222395833333334
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2956283244680851
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/LeroyDyer/_Spydaz_Web_AI_AGI_R1_OmG_001/6f7b2d91-24d6-442c-93a5-9afc88e9a308.json b/data/hfopenllm_v2/LeroyDyer/_Spydaz_Web_AI_AGI_R1_OmG_001/6f7b2d91-24d6-442c-93a5-9afc88e9a308.json
new file mode 100644
index 000000000..a4540e902
--- /dev/null
+++ b/data/hfopenllm_v2/LeroyDyer/_Spydaz_Web_AI_AGI_R1_OmG_001/6f7b2d91-24d6-442c-93a5-9afc88e9a308.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/LeroyDyer__Spydaz_Web_AI_AGI_R1_OmG_001/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "_Spydaz_Web_AI_AGI_R1_OmG_001",
+    "id": "LeroyDyer/_Spydaz_Web_AI_AGI_R1_OmG_001",
+    "developer": "LeroyDyer",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5818
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4908
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0506
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3003
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4486
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2906
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/LeroyDyer/_Spydaz_Web_AI_AGI_R1_OmG_001/b13652e3-43f1-4670-94f7-1a0bbf622f33.json b/data/hfopenllm_v2/LeroyDyer/_Spydaz_Web_AI_AGI_R1_OmG_001/b13652e3-43f1-4670-94f7-1a0bbf622f33.json
deleted file mode 100644
index 2b150b98b..000000000
--- a/data/hfopenllm_v2/LeroyDyer/_Spydaz_Web_AI_AGI_R1_OmG_001/b13652e3-43f1-4670-94f7-1a0bbf622f33.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/LeroyDyer__Spydaz_Web_AI_AGI_R1_OmG_001/1762652579.72431",
-  "retrieved_timestamp": "1762652579.724311",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "LeroyDyer/_Spydaz_Web_AI_AGI_R1_OmG_001",
-    "developer": "LeroyDyer",
-    "inference_platform": "unknown",
-    "id": "LeroyDyer/_Spydaz_Web_AI_AGI_R1_OmG_001",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
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diff --git a/data/hfopenllm_v2/LeroyDyer/_Spydaz_Web_AI_AGI_R1_OmG_002/21793520-7d1a-4040-bb96-fa7fe98ae580.json b/data/hfopenllm_v2/LeroyDyer/_Spydaz_Web_AI_AGI_R1_OmG_002/21793520-7d1a-4040-bb96-fa7fe98ae580.json
new file mode 100644
index 000000000..c42060e34
--- /dev/null
+++ b/data/hfopenllm_v2/LeroyDyer/_Spydaz_Web_AI_AGI_R1_OmG_002/21793520-7d1a-4040-bb96-fa7fe98ae580.json
@@ -0,0 +1,132 @@
+{
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+  "evaluation_id": "hfopenllm_v2/LeroyDyer__Spydaz_Web_AI_AGI_R1_OmG_002/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "_Spydaz_Web_AI_AGI_R1_OmG_002",
+    "id": "LeroyDyer/_Spydaz_Web_AI_AGI_R1_OmG_002",
+    "developer": "LeroyDyer",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5462
+      }
+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4655
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
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+        "max_score": 1.0
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+      "score_details": {
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+      }
+    },
+    {
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+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4511
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2867
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/LeroyDyer/_Spydaz_Web_AI_AGI_R1_OmG_002/8201723e-92fb-4207-afa8-df7db794c889.json b/data/hfopenllm_v2/LeroyDyer/_Spydaz_Web_AI_AGI_R1_OmG_002/8201723e-92fb-4207-afa8-df7db794c889.json
deleted file mode 100644
index 563bbfc83..000000000
--- a/data/hfopenllm_v2/LeroyDyer/_Spydaz_Web_AI_AGI_R1_OmG_002/8201723e-92fb-4207-afa8-df7db794c889.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-    "inference_platform": "unknown",
-    "id": "LeroyDyer/_Spydaz_Web_AI_AGI_R1_OmG_002",
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-        "score_type": "continuous",
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diff --git a/data/hfopenllm_v2/LeroyDyer/_Spydaz_Web_AI_AGI_R1_OmG_Coder/59d53c40-5b16-4a70-a693-5fb554cf7614.json b/data/hfopenllm_v2/LeroyDyer/_Spydaz_Web_AI_AGI_R1_OmG_Coder/59d53c40-5b16-4a70-a693-5fb554cf7614.json
new file mode 100644
index 000000000..3df532609
--- /dev/null
+++ b/data/hfopenllm_v2/LeroyDyer/_Spydaz_Web_AI_AGI_R1_OmG_Coder/59d53c40-5b16-4a70-a693-5fb554cf7614.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/LeroyDyer__Spydaz_Web_AI_AGI_R1_OmG_Coder/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "_Spydaz_Web_AI_AGI_R1_OmG_Coder",
+    "id": "LeroyDyer/_Spydaz_Web_AI_AGI_R1_OmG_Coder",
+    "developer": "LeroyDyer",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4924
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4638
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2735
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5625
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.289
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/LeroyDyer/_Spydaz_Web_AI_AGI_R1_OmG_Coder/e166fa17-c285-466e-ab2e-1eb106ebd271.json b/data/hfopenllm_v2/LeroyDyer/_Spydaz_Web_AI_AGI_R1_OmG_Coder/e166fa17-c285-466e-ab2e-1eb106ebd271.json
deleted file mode 100644
index 0f21e4796..000000000
--- a/data/hfopenllm_v2/LeroyDyer/_Spydaz_Web_AI_AGI_R1_OmG_Coder/e166fa17-c285-466e-ab2e-1eb106ebd271.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-    "name": "LeroyDyer/_Spydaz_Web_AI_AGI_R1_OmG_Coder",
-    "developer": "LeroyDyer",
-    "inference_platform": "unknown",
-    "id": "LeroyDyer/_Spydaz_Web_AI_AGI_R1_OmG_Coder",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
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-        "min_score": 0,
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-    {
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-    {
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-      "metric_config": {
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-        "score_type": "continuous",
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-        "max_score": 1
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-      "score_details": {
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-  ]
-}
diff --git a/data/hfopenllm_v2/LeroyDyer/_Spydaz_Web_AI_AGI_R1_OmG_Math/983323f2-7caa-42cb-8838-8ea041303a70.json b/data/hfopenllm_v2/LeroyDyer/_Spydaz_Web_AI_AGI_R1_OmG_Math/983323f2-7caa-42cb-8838-8ea041303a70.json
deleted file mode 100644
index 6861cca0c..000000000
--- a/data/hfopenllm_v2/LeroyDyer/_Spydaz_Web_AI_AGI_R1_OmG_Math/983323f2-7caa-42cb-8838-8ea041303a70.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/LeroyDyer__Spydaz_Web_AI_AGI_R1_OmG_Math/1762652579.7249558",
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
-    "name": "LeroyDyer/_Spydaz_Web_AI_AGI_R1_OmG_Math",
-    "developer": "LeroyDyer",
-    "inference_platform": "unknown",
-    "id": "LeroyDyer/_Spydaz_Web_AI_AGI_R1_OmG_Math",
-    "additional_details": {
-      "precision": "bfloat16",
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diff --git a/data/hfopenllm_v2/LeroyDyer/_Spydaz_Web_AI_AGI_R1_OmG_Math/b28a569c-6bdf-4547-a2ce-c3e224764be3.json b/data/hfopenllm_v2/LeroyDyer/_Spydaz_Web_AI_AGI_R1_OmG_Math/b28a569c-6bdf-4547-a2ce-c3e224764be3.json
new file mode 100644
index 000000000..481f7a4c2
--- /dev/null
+++ b/data/hfopenllm_v2/LeroyDyer/_Spydaz_Web_AI_AGI_R1_OmG_Math/b28a569c-6bdf-4547-a2ce-c3e224764be3.json
@@ -0,0 +1,132 @@
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+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
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+    "source_type": "documentation",
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+    "evaluator_relationship": "third_party"
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+    "name": "_Spydaz_Web_AI_AGI_R1_OmG_Math",
+    "id": "LeroyDyer/_Spydaz_Web_AI_AGI_R1_OmG_Math",
+    "developer": "LeroyDyer",
+    "inference_platform": "unknown",
+    "additional_details": {
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+      "architecture": "MistralForCausalLM",
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
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+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
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+        "hf_repo": "TAUR-Lab/MuSR"
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+    {
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+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
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+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/LeroyDyer/_Spydaz_Web_AI_AGI_R1_OmG_MathMaster/2de129c8-2259-4367-a619-85d9e8f61e06.json b/data/hfopenllm_v2/LeroyDyer/_Spydaz_Web_AI_AGI_R1_OmG_MathMaster/2de129c8-2259-4367-a619-85d9e8f61e06.json
new file mode 100644
index 000000000..b5ee95324
--- /dev/null
+++ b/data/hfopenllm_v2/LeroyDyer/_Spydaz_Web_AI_AGI_R1_OmG_MathMaster/2de129c8-2259-4367-a619-85d9e8f61e06.json
@@ -0,0 +1,132 @@
+{
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+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "_Spydaz_Web_AI_AGI_R1_OmG_MathMaster",
+    "id": "LeroyDyer/_Spydaz_Web_AI_AGI_R1_OmG_MathMaster",
+    "developer": "LeroyDyer",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
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+        "hf_repo": "google/IFEval"
+      },
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+        "score_type": "continuous",
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
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+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
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+        "evaluation_description": "Exact Match on MATH Level 5",
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+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
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+      }
+    },
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
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+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
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+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/LeroyDyer/_Spydaz_Web_AI_AGI_R1_OmG_MathMaster/a79378f7-01b3-4bf0-8b76-2e670d2a7366.json b/data/hfopenllm_v2/LeroyDyer/_Spydaz_Web_AI_AGI_R1_OmG_MathMaster/a79378f7-01b3-4bf0-8b76-2e670d2a7366.json
deleted file mode 100644
index d97a9f425..000000000
--- a/data/hfopenllm_v2/LeroyDyer/_Spydaz_Web_AI_AGI_R1_OmG_MathMaster/a79378f7-01b3-4bf0-8b76-2e670d2a7366.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/LeroyDyer/_Spydaz_Web_AI_AGI_R1_Student_Coder/1e7531fc-9f12-4c7c-8bf5-44511c37c23b.json b/data/hfopenllm_v2/LeroyDyer/_Spydaz_Web_AI_AGI_R1_Student_Coder/1e7531fc-9f12-4c7c-8bf5-44511c37c23b.json
deleted file mode 100644
index 12c1c3c1e..000000000
--- a/data/hfopenllm_v2/LeroyDyer/_Spydaz_Web_AI_AGI_R1_Student_Coder/1e7531fc-9f12-4c7c-8bf5-44511c37c23b.json
+++ /dev/null
@@ -1,105 +0,0 @@
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-    "developer": "LeroyDyer",
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diff --git a/data/hfopenllm_v2/LeroyDyer/_Spydaz_Web_AI_AGI_R1_Student_Coder/c242030f-fb2b-42dc-a5d1-687273b17282.json b/data/hfopenllm_v2/LeroyDyer/_Spydaz_Web_AI_AGI_R1_Student_Coder/c242030f-fb2b-42dc-a5d1-687273b17282.json
new file mode 100644
index 000000000..d5484f88e
--- /dev/null
+++ b/data/hfopenllm_v2/LeroyDyer/_Spydaz_Web_AI_AGI_R1_Student_Coder/c242030f-fb2b-42dc-a5d1-687273b17282.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/LeroyDyer__Spydaz_Web_AI_AGI_R1_Student_Coder/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "_Spydaz_Web_AI_AGI_R1_Student_Coder",
+    "id": "LeroyDyer/_Spydaz_Web_AI_AGI_R1_Student_Coder",
+    "developer": "LeroyDyer",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
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+  "evaluation_results": [
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
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+      "metric_config": {
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+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
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+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
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+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
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+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2844
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4388
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2768
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/LeroyDyer/_Spydaz_Web_AI_AGI_R1_Teacher_Coder/3b3fdb16-b6e1-40c8-9ac0-02f1f2207eb7.json b/data/hfopenllm_v2/LeroyDyer/_Spydaz_Web_AI_AGI_R1_Teacher_Coder/3b3fdb16-b6e1-40c8-9ac0-02f1f2207eb7.json
new file mode 100644
index 000000000..f0fe06eb1
--- /dev/null
+++ b/data/hfopenllm_v2/LeroyDyer/_Spydaz_Web_AI_AGI_R1_Teacher_Coder/3b3fdb16-b6e1-40c8-9ac0-02f1f2207eb7.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/LeroyDyer__Spydaz_Web_AI_AGI_R1_Teacher_Coder/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "_Spydaz_Web_AI_AGI_R1_Teacher_Coder",
+    "id": "LeroyDyer/_Spydaz_Web_AI_AGI_R1_Teacher_Coder",
+    "developer": "LeroyDyer",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5082
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4797
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.065
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2911
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4338
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2845
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/LeroyDyer/_Spydaz_Web_AI_AGI_R1_Teacher_Coder/64c0088b-f9e7-4a9a-b449-3e1b514370ff.json b/data/hfopenllm_v2/LeroyDyer/_Spydaz_Web_AI_AGI_R1_Teacher_Coder/64c0088b-f9e7-4a9a-b449-3e1b514370ff.json
deleted file mode 100644
index c4ea1fe33..000000000
--- a/data/hfopenllm_v2/LeroyDyer/_Spydaz_Web_AI_AGI_R1_Teacher_Coder/64c0088b-f9e7-4a9a-b449-3e1b514370ff.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/LeroyDyer__Spydaz_Web_AI_AGI_R1_Teacher_Coder/1762652579.7256",
-  "retrieved_timestamp": "1762652579.725601",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "LeroyDyer/_Spydaz_Web_AI_AGI_R1_Teacher_Coder",
-    "developer": "LeroyDyer",
-    "inference_platform": "unknown",
-    "id": "LeroyDyer/_Spydaz_Web_AI_AGI_R1_Teacher_Coder",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
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-      "metric_config": {
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-        "lower_is_better": false,
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.28449135638297873
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/LeroyDyer/_Spydaz_Web_AI_AGI_R1_Top_Student/d652c8f6-d5b4-482f-91c7-5eb9529765c1.json b/data/hfopenllm_v2/LeroyDyer/_Spydaz_Web_AI_AGI_R1_Top_Student/d652c8f6-d5b4-482f-91c7-5eb9529765c1.json
deleted file mode 100644
index 9e42a8560..000000000
--- a/data/hfopenllm_v2/LeroyDyer/_Spydaz_Web_AI_AGI_R1_Top_Student/d652c8f6-d5b4-482f-91c7-5eb9529765c1.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/LeroyDyer__Spydaz_Web_AI_AGI_R1_Top_Student/1762652579.725811",
-  "retrieved_timestamp": "1762652579.725811",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "LeroyDyer/_Spydaz_Web_AI_AGI_R1_Top_Student",
-    "developer": "LeroyDyer",
-    "inference_platform": "unknown",
-    "id": "LeroyDyer/_Spydaz_Web_AI_AGI_R1_Top_Student",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5397916666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30244348404255317
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/LeroyDyer/_Spydaz_Web_AI_AGI_R1_Top_Student/ef6e8e0d-7ba4-45ea-aaf7-617f68f2e97c.json b/data/hfopenllm_v2/LeroyDyer/_Spydaz_Web_AI_AGI_R1_Top_Student/ef6e8e0d-7ba4-45ea-aaf7-617f68f2e97c.json
new file mode 100644
index 000000000..bf973d06a
--- /dev/null
+++ b/data/hfopenllm_v2/LeroyDyer/_Spydaz_Web_AI_AGI_R1_Top_Student/ef6e8e0d-7ba4-45ea-aaf7-617f68f2e97c.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/LeroyDyer__Spydaz_Web_AI_AGI_R1_Top_Student/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "_Spydaz_Web_AI_AGI_R1_Top_Student",
+    "id": "LeroyDyer/_Spydaz_Web_AI_AGI_R1_Top_Student",
+    "developer": "LeroyDyer",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.604
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4988
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0725
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2727
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5398
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3024
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/LeroyDyer/_Spydaz_Web_AI_AGI_R1_X1/7c72e837-92fd-4f3b-9c4f-205ffc93ac70.json b/data/hfopenllm_v2/LeroyDyer/_Spydaz_Web_AI_AGI_R1_X1/7c72e837-92fd-4f3b-9c4f-205ffc93ac70.json
deleted file mode 100644
index b85f5de91..000000000
--- a/data/hfopenllm_v2/LeroyDyer/_Spydaz_Web_AI_AGI_R1_X1/7c72e837-92fd-4f3b-9c4f-205ffc93ac70.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/LeroyDyer__Spydaz_Web_AI_AGI_R1_X1/1762652579.7260191",
-  "retrieved_timestamp": "1762652579.72602",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
-    "name": "LeroyDyer/_Spydaz_Web_AI_AGI_R1_X1",
-    "developer": "LeroyDyer",
-    "inference_platform": "unknown",
-    "id": "LeroyDyer/_Spydaz_Web_AI_AGI_R1_X1",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
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-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
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-        "score_type": "continuous",
-        "min_score": 0,
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-    },
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-        "score_type": "continuous",
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-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-        "score_type": "continuous",
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diff --git a/data/hfopenllm_v2/LeroyDyer/_Spydaz_Web_AI_AGI_R1_X1/f8c131a4-1fee-4694-8753-88853418ef4b.json b/data/hfopenllm_v2/LeroyDyer/_Spydaz_Web_AI_AGI_R1_X1/f8c131a4-1fee-4694-8753-88853418ef4b.json
new file mode 100644
index 000000000..6d959d14f
--- /dev/null
+++ b/data/hfopenllm_v2/LeroyDyer/_Spydaz_Web_AI_AGI_R1_X1/f8c131a4-1fee-4694-8753-88853418ef4b.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/LeroyDyer__Spydaz_Web_AI_AGI_R1_X1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "_Spydaz_Web_AI_AGI_R1_X1",
+    "id": "LeroyDyer/_Spydaz_Web_AI_AGI_R1_X1",
+    "developer": "LeroyDyer",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4273
+      }
+    },
+    {
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+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4759
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+      }
+    },
+    {
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+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2601
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4232
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2891
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/LeroyDyer/_Spydaz_Web_AI_AGI_R1_X2/169fe3b3-527a-408f-9442-5bc3616cc320.json b/data/hfopenllm_v2/LeroyDyer/_Spydaz_Web_AI_AGI_R1_X2/169fe3b3-527a-408f-9442-5bc3616cc320.json
deleted file mode 100644
index ab5ffa5cf..000000000
--- a/data/hfopenllm_v2/LeroyDyer/_Spydaz_Web_AI_AGI_R1_X2/169fe3b3-527a-408f-9442-5bc3616cc320.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/LeroyDyer__Spydaz_Web_AI_AGI_R1_X2/1762652579.7262201",
-  "retrieved_timestamp": "1762652579.726221",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "LeroyDyer/_Spydaz_Web_AI_AGI_R1_X2",
-    "developer": "LeroyDyer",
-    "inference_platform": "unknown",
-    "id": "LeroyDyer/_Spydaz_Web_AI_AGI_R1_X2",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5433782364127182
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
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-        "lower_is_better": false,
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-        "max_score": 1
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-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-        "lower_is_better": false,
-        "score_type": "continuous",
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-        "max_score": 1
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-      "score_details": {
-        "score": 0.2978187919463087
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.46953125
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.29205452127659576
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/LeroyDyer/_Spydaz_Web_AI_AGI_R1_X2/27dec9ff-fb18-43dd-949f-7c0587a5858f.json b/data/hfopenllm_v2/LeroyDyer/_Spydaz_Web_AI_AGI_R1_X2/27dec9ff-fb18-43dd-949f-7c0587a5858f.json
new file mode 100644
index 000000000..0a0055521
--- /dev/null
+++ b/data/hfopenllm_v2/LeroyDyer/_Spydaz_Web_AI_AGI_R1_X2/27dec9ff-fb18-43dd-949f-7c0587a5858f.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/LeroyDyer__Spydaz_Web_AI_AGI_R1_X2/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "_Spydaz_Web_AI_AGI_R1_X2",
+    "id": "LeroyDyer/_Spydaz_Web_AI_AGI_R1_X2",
+    "developer": "LeroyDyer",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5434
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4786
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0612
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2978
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4695
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2921
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/LeroyDyer/_Spydaz_Web_AI_AGI_RP_R1/060df34d-ab67-43e1-bd56-ebaceb77abd3.json b/data/hfopenllm_v2/LeroyDyer/_Spydaz_Web_AI_AGI_RP_R1/060df34d-ab67-43e1-bd56-ebaceb77abd3.json
new file mode 100644
index 000000000..b431b930c
--- /dev/null
+++ b/data/hfopenllm_v2/LeroyDyer/_Spydaz_Web_AI_AGI_RP_R1/060df34d-ab67-43e1-bd56-ebaceb77abd3.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/LeroyDyer__Spydaz_Web_AI_AGI_RP_R1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "_Spydaz_Web_AI_AGI_RP_R1",
+    "id": "LeroyDyer/_Spydaz_Web_AI_AGI_RP_R1",
+    "developer": "LeroyDyer",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5426
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4701
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0604
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2693
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4201
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2894
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/LeroyDyer/_Spydaz_Web_AI_AGI_RP_R1/fd4405cf-9849-4606-a01c-a20459198853.json b/data/hfopenllm_v2/LeroyDyer/_Spydaz_Web_AI_AGI_RP_R1/fd4405cf-9849-4606-a01c-a20459198853.json
deleted file mode 100644
index 7957c9c2b..000000000
--- a/data/hfopenllm_v2/LeroyDyer/_Spydaz_Web_AI_AGI_RP_R1/fd4405cf-9849-4606-a01c-a20459198853.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/LeroyDyer__Spydaz_Web_AI_AGI_RP_R1/1762652579.726439",
-  "retrieved_timestamp": "1762652579.72644",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "LeroyDyer/_Spydaz_Web_AI_AGI_RP_R1",
-    "developer": "LeroyDyer",
-    "inference_platform": "unknown",
-    "id": "LeroyDyer/_Spydaz_Web_AI_AGI_RP_R1",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5426036250482054
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4701061648636955
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.06042296072507553
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
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diff --git a/data/hfopenllm_v2/LeroyDyer/_Spydaz_Web_AI_BIBLE_002/060f29d1-8b1d-4651-808d-b1419bd76cd9.json b/data/hfopenllm_v2/LeroyDyer/_Spydaz_Web_AI_BIBLE_002/060f29d1-8b1d-4651-808d-b1419bd76cd9.json
deleted file mode 100644
index e5fcdadb6..000000000
--- a/data/hfopenllm_v2/LeroyDyer/_Spydaz_Web_AI_BIBLE_002/060f29d1-8b1d-4651-808d-b1419bd76cd9.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
-    "name": "LeroyDyer/_Spydaz_Web_AI_BIBLE_002",
-    "developer": "LeroyDyer",
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-    "id": "LeroyDyer/_Spydaz_Web_AI_BIBLE_002",
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diff --git a/data/hfopenllm_v2/LeroyDyer/_Spydaz_Web_AI_BIBLE_002/a6357673-3daa-4593-8593-2b65a7d5477e.json b/data/hfopenllm_v2/LeroyDyer/_Spydaz_Web_AI_BIBLE_002/a6357673-3daa-4593-8593-2b65a7d5477e.json
new file mode 100644
index 000000000..a62a6bb3e
--- /dev/null
+++ b/data/hfopenllm_v2/LeroyDyer/_Spydaz_Web_AI_BIBLE_002/a6357673-3daa-4593-8593-2b65a7d5477e.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/LeroyDyer__Spydaz_Web_AI_BIBLE_002/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "_Spydaz_Web_AI_BIBLE_002",
+    "id": "LeroyDyer/_Spydaz_Web_AI_BIBLE_002",
+    "developer": "LeroyDyer",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2195
+      }
+    },
+    {
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+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3289
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0174
+      }
+    },
+    {
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+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2844
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1368
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/LeroyDyer/_Spydaz_Web_AI_ChatML_002/07981f28-b019-42f8-b14b-44ab73ebaa0a.json b/data/hfopenllm_v2/LeroyDyer/_Spydaz_Web_AI_ChatML_002/07981f28-b019-42f8-b14b-44ab73ebaa0a.json
deleted file mode 100644
index 3ea8e767e..000000000
--- a/data/hfopenllm_v2/LeroyDyer/_Spydaz_Web_AI_ChatML_002/07981f28-b019-42f8-b14b-44ab73ebaa0a.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
-    "name": "LeroyDyer/_Spydaz_Web_AI_ChatML_002",
-    "developer": "LeroyDyer",
-    "inference_platform": "unknown",
-    "id": "LeroyDyer/_Spydaz_Web_AI_ChatML_002",
-    "additional_details": {
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-        "lower_is_better": false,
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-        "max_score": 1
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-}
diff --git a/data/hfopenllm_v2/LeroyDyer/_Spydaz_Web_AI_ChatML_002/121d4877-1955-48db-a23a-6b0ad0623b9e.json b/data/hfopenllm_v2/LeroyDyer/_Spydaz_Web_AI_ChatML_002/121d4877-1955-48db-a23a-6b0ad0623b9e.json
new file mode 100644
index 000000000..d97ec510d
--- /dev/null
+++ b/data/hfopenllm_v2/LeroyDyer/_Spydaz_Web_AI_ChatML_002/121d4877-1955-48db-a23a-6b0ad0623b9e.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/LeroyDyer__Spydaz_Web_AI_ChatML_002/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "_Spydaz_Web_AI_ChatML_002",
+    "id": "LeroyDyer/_Spydaz_Web_AI_ChatML_002",
+    "developer": "LeroyDyer",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2412
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3106
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0113
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2576
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3623
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1095
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/LeroyDyer/_Spydaz_Web_AI_ChatQA/1f1eab02-219e-4ad8-af50-e103541e1c9d.json b/data/hfopenllm_v2/LeroyDyer/_Spydaz_Web_AI_ChatQA/1f1eab02-219e-4ad8-af50-e103541e1c9d.json
new file mode 100644
index 000000000..21baf209e
--- /dev/null
+++ b/data/hfopenllm_v2/LeroyDyer/_Spydaz_Web_AI_ChatQA/1f1eab02-219e-4ad8-af50-e103541e1c9d.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/LeroyDyer__Spydaz_Web_AI_ChatQA/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "_Spydaz_Web_AI_ChatQA",
+    "id": "LeroyDyer/_Spydaz_Web_AI_ChatQA",
+    "developer": "LeroyDyer",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1415
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3236
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0098
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2659
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3447
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+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1475
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/LeroyDyer/_Spydaz_Web_AI_ChatQA/4e72d3b7-4ebb-470d-8f86-66d6cb28095f.json b/data/hfopenllm_v2/LeroyDyer/_Spydaz_Web_AI_ChatQA/4e72d3b7-4ebb-470d-8f86-66d6cb28095f.json
deleted file mode 100644
index 3c49e408b..000000000
--- a/data/hfopenllm_v2/LeroyDyer/_Spydaz_Web_AI_ChatQA/4e72d3b7-4ebb-470d-8f86-66d6cb28095f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/LeroyDyer__Spydaz_Web_AI_ChatQA/1762652579.727107",
-  "retrieved_timestamp": "1762652579.727108",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "LeroyDyer/_Spydaz_Web_AI_ChatQA",
-    "developer": "LeroyDyer",
-    "inference_platform": "unknown",
-    "id": "LeroyDyer/_Spydaz_Web_AI_ChatQA",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-    {
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-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-    {
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-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.14752327127659576
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/LeroyDyer/_Spydaz_Web_AI_ChatQA_003/471aac2a-5c4b-4b1b-a56b-490fafc444d8.json b/data/hfopenllm_v2/LeroyDyer/_Spydaz_Web_AI_ChatQA_003/471aac2a-5c4b-4b1b-a56b-490fafc444d8.json
deleted file mode 100644
index 8d7ade596..000000000
--- a/data/hfopenllm_v2/LeroyDyer/_Spydaz_Web_AI_ChatQA_003/471aac2a-5c4b-4b1b-a56b-490fafc444d8.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/LeroyDyer__Spydaz_Web_AI_ChatQA_003/1762652579.727351",
-  "retrieved_timestamp": "1762652579.7273521",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
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-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "LeroyDyer/_Spydaz_Web_AI_ChatQA_003",
-    "developer": "LeroyDyer",
-    "inference_platform": "unknown",
-    "id": "LeroyDyer/_Spydaz_Web_AI_ChatQA_003",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-        "min_score": 0,
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-      "score_details": {
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-    {
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-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2709731543624161
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.38184375
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11328125
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/LeroyDyer/_Spydaz_Web_AI_ChatQA_003/b4cccfb3-1c17-48a3-a211-a26c44de757f.json b/data/hfopenllm_v2/LeroyDyer/_Spydaz_Web_AI_ChatQA_003/b4cccfb3-1c17-48a3-a211-a26c44de757f.json
new file mode 100644
index 000000000..5a698b13e
--- /dev/null
+++ b/data/hfopenllm_v2/LeroyDyer/_Spydaz_Web_AI_ChatQA_003/b4cccfb3-1c17-48a3-a211-a26c44de757f.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/LeroyDyer__Spydaz_Web_AI_ChatQA_003/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "_Spydaz_Web_AI_ChatQA_003",
+    "id": "LeroyDyer/_Spydaz_Web_AI_ChatQA_003",
+    "developer": "LeroyDyer",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2209
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3172
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0106
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.271
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3818
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1133
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/LeroyDyer/_Spydaz_Web_AI_TEMP_/05e97a86-681d-42a2-8a47-beade25d8fc9.json b/data/hfopenllm_v2/LeroyDyer/_Spydaz_Web_AI_TEMP_/05e97a86-681d-42a2-8a47-beade25d8fc9.json
new file mode 100644
index 000000000..09c825d37
--- /dev/null
+++ b/data/hfopenllm_v2/LeroyDyer/_Spydaz_Web_AI_TEMP_/05e97a86-681d-42a2-8a47-beade25d8fc9.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/LeroyDyer__Spydaz_Web_AI_TEMP_/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "_Spydaz_Web_AI_TEMP_",
+    "id": "LeroyDyer/_Spydaz_Web_AI_TEMP_",
+    "developer": "LeroyDyer",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4795
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4957
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1239
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2794
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4218
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3121
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/LeroyDyer/_Spydaz_Web_AI_TEMP_/f44f513c-0814-4f3b-94a4-9e28318da40e.json b/data/hfopenllm_v2/LeroyDyer/_Spydaz_Web_AI_TEMP_/f44f513c-0814-4f3b-94a4-9e28318da40e.json
deleted file mode 100644
index 195d77997..000000000
--- a/data/hfopenllm_v2/LeroyDyer/_Spydaz_Web_AI_TEMP_/f44f513c-0814-4f3b-94a4-9e28318da40e.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/LeroyDyer__Spydaz_Web_AI_TEMP_/1762652579.7275891",
-  "retrieved_timestamp": "1762652579.7275898",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "LeroyDyer/_Spydaz_Web_AI_TEMP_",
-    "developer": "LeroyDyer",
-    "inference_platform": "unknown",
-    "id": "LeroyDyer/_Spydaz_Web_AI_TEMP_",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.47953097780555587
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.495695749059555
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.12386706948640483
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.27936241610738255
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42175
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3120844414893617
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/LeroyDyer/_Spydaz_Web_AI_Top_Teacher_/6c0899b4-f066-45f6-827d-11c535ef0634.json b/data/hfopenllm_v2/LeroyDyer/_Spydaz_Web_AI_Top_Teacher_/6c0899b4-f066-45f6-827d-11c535ef0634.json
new file mode 100644
index 000000000..c36cff39f
--- /dev/null
+++ b/data/hfopenllm_v2/LeroyDyer/_Spydaz_Web_AI_Top_Teacher_/6c0899b4-f066-45f6-827d-11c535ef0634.json
@@ -0,0 +1,132 @@
+{
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+  "evaluation_id": "hfopenllm_v2/LeroyDyer__Spydaz_Web_AI_Top_Teacher_/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "_Spydaz_Web_AI_Top_Teacher_",
+    "id": "LeroyDyer/_Spydaz_Web_AI_Top_Teacher_",
+    "developer": "LeroyDyer",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4404
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4891
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1156
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2777
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4366
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.315
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/LeroyDyer/_Spydaz_Web_AI_Top_Teacher_/a4beba0f-b860-4d7d-b1c3-0f569ba59171.json b/data/hfopenllm_v2/LeroyDyer/_Spydaz_Web_AI_Top_Teacher_/a4beba0f-b860-4d7d-b1c3-0f569ba59171.json
deleted file mode 100644
index 6fcf26bf2..000000000
--- a/data/hfopenllm_v2/LeroyDyer/_Spydaz_Web_AI_Top_Teacher_/a4beba0f-b860-4d7d-b1c3-0f569ba59171.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/LeroyDyer__Spydaz_Web_AI_Top_Teacher_/1762652579.728002",
-  "retrieved_timestamp": "1762652579.728004",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "LeroyDyer/_Spydaz_Web_AI_Top_Teacher_",
-    "developer": "LeroyDyer",
-    "inference_platform": "unknown",
-    "id": "LeroyDyer/_Spydaz_Web_AI_Top_Teacher_",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    {
-      "evaluation_name": "BBH",
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-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.48909617780536035
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11555891238670694
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.27768456375838924
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4366041666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3149933510638298
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/LightningRodLabs/Flashlight-v1.0/cd4408c3-d966-4195-bcf2-5bc80eca1501.json b/data/hfopenllm_v2/LightningRodLabs/Flashlight-v1.0/cd4408c3-d966-4195-bcf2-5bc80eca1501.json
deleted file mode 100644
index afb4f6f99..000000000
--- a/data/hfopenllm_v2/LightningRodLabs/Flashlight-v1.0/cd4408c3-d966-4195-bcf2-5bc80eca1501.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/LightningRodLabs_Flashlight-v1.0/1762652579.7282822",
-  "retrieved_timestamp": "1762652579.728283",
-  "source_data": [
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-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "LightningRodLabs/Flashlight-v1.0",
-    "developer": "LightningRodLabs",
-    "inference_platform": "unknown",
-    "id": "LightningRodLabs/Flashlight-v1.0",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 14.66
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6745446526327921
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6876833310149727
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-      },
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3422818791946309
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41009375
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5402260638297872
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/LightningRodLabs/Flashlight-v1.0/f9660557-b9f6-4ecc-b260-c245f0e62b5b.json b/data/hfopenllm_v2/LightningRodLabs/Flashlight-v1.0/f9660557-b9f6-4ecc-b260-c245f0e62b5b.json
new file mode 100644
index 000000000..b9c99ac4d
--- /dev/null
+++ b/data/hfopenllm_v2/LightningRodLabs/Flashlight-v1.0/f9660557-b9f6-4ecc-b260-c245f0e62b5b.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/LightningRodLabs_Flashlight-v1.0/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Flashlight-v1.0",
+    "id": "LightningRodLabs/Flashlight-v1.0",
+    "developer": "LightningRodLabs",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 14.66
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6745
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6877
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.497
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3423
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4101
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5402
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/LightningRodLabs/Flashlight-v1.1/64c75370-981d-43ae-9823-d4fb0696d468.json b/data/hfopenllm_v2/LightningRodLabs/Flashlight-v1.1/64c75370-981d-43ae-9823-d4fb0696d468.json
deleted file mode 100644
index 6d8a56a1a..000000000
--- a/data/hfopenllm_v2/LightningRodLabs/Flashlight-v1.1/64c75370-981d-43ae-9823-d4fb0696d468.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/LightningRodLabs_Flashlight-v1.1/1762652579.728596",
-  "retrieved_timestamp": "1762652579.728597",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "LightningRodLabs/Flashlight-v1.1",
-    "developer": "LightningRodLabs",
-    "inference_platform": "unknown",
-    "id": "LightningRodLabs/Flashlight-v1.1",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Phi3ForCausalLM",
-      "params_billions": 14.66
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6720967034136092
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
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-        "score_type": "continuous",
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-        "max_score": 1
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-      "score_details": {
-        "score": 0.4047604166666667
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5415558510638298
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/LightningRodLabs/Flashlight-v1.1/89168032-5840-4c2c-821e-b3d717ade46f.json b/data/hfopenllm_v2/LightningRodLabs/Flashlight-v1.1/89168032-5840-4c2c-821e-b3d717ade46f.json
new file mode 100644
index 000000000..4c4c25448
--- /dev/null
+++ b/data/hfopenllm_v2/LightningRodLabs/Flashlight-v1.1/89168032-5840-4c2c-821e-b3d717ade46f.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/LightningRodLabs_Flashlight-v1.1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Flashlight-v1.1",
+    "id": "LightningRodLabs/Flashlight-v1.1",
+    "developer": "LightningRodLabs",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Phi3ForCausalLM",
+      "params_billions": 14.66
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6721
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6901
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5325
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3398
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4048
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5416
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/LightningRodLabs/Flashlight-v1.2/10d0aa63-67d9-4dba-9bdc-db7ab3b4547d.json b/data/hfopenllm_v2/LightningRodLabs/Flashlight-v1.2/10d0aa63-67d9-4dba-9bdc-db7ab3b4547d.json
new file mode 100644
index 000000000..5dd6485a7
--- /dev/null
+++ b/data/hfopenllm_v2/LightningRodLabs/Flashlight-v1.2/10d0aa63-67d9-4dba-9bdc-db7ab3b4547d.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/LightningRodLabs_Flashlight-v1.2/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Flashlight-v1.2",
+    "id": "LightningRodLabs/Flashlight-v1.2",
+    "developer": "LightningRodLabs",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.766
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.436
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3265
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1556
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2357
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4554
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2485
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/LightningRodLabs/Flashlight-v1.2/404afbae-0393-48e6-874c-e1cb28e9a1eb.json b/data/hfopenllm_v2/LightningRodLabs/Flashlight-v1.2/404afbae-0393-48e6-874c-e1cb28e9a1eb.json
deleted file mode 100644
index 758dc0d88..000000000
--- a/data/hfopenllm_v2/LightningRodLabs/Flashlight-v1.2/404afbae-0393-48e6-874c-e1cb28e9a1eb.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/LightningRodLabs_Flashlight-v1.2/1762652579.728818",
-  "retrieved_timestamp": "1762652579.728819",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "LightningRodLabs/Flashlight-v1.2",
-    "developer": "LightningRodLabs",
-    "inference_platform": "unknown",
-    "id": "LightningRodLabs/Flashlight-v1.2",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 14.766
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4359920566319587
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3264526807518731
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1555891238670695
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.23573825503355705
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.45536458333333335
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.24850398936170212
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Lil-R/2_PRYMMAL-ECE-2B-SLERP-V1/6f66ae5b-8cb6-4263-98a4-4a1eddfaca10.json b/data/hfopenllm_v2/Lil-R/2_PRYMMAL-ECE-2B-SLERP-V1/6f66ae5b-8cb6-4263-98a4-4a1eddfaca10.json
new file mode 100644
index 000000000..9f4103403
--- /dev/null
+++ b/data/hfopenllm_v2/Lil-R/2_PRYMMAL-ECE-2B-SLERP-V1/6f66ae5b-8cb6-4263-98a4-4a1eddfaca10.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Lil-R_2_PRYMMAL-ECE-2B-SLERP-V1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "2_PRYMMAL-ECE-2B-SLERP-V1",
+    "id": "Lil-R/2_PRYMMAL-ECE-2B-SLERP-V1",
+    "developer": "Lil-R",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Gemma2ForCausalLM",
+      "params_billions": 2.614
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5823
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4287
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0914
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3062
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4375
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2678
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Lil-R/2_PRYMMAL-ECE-2B-SLERP-V1/d53a7070-911a-4a5e-ba0c-766c4f39b3f5.json b/data/hfopenllm_v2/Lil-R/2_PRYMMAL-ECE-2B-SLERP-V1/d53a7070-911a-4a5e-ba0c-766c4f39b3f5.json
deleted file mode 100644
index 49c305794..000000000
--- a/data/hfopenllm_v2/Lil-R/2_PRYMMAL-ECE-2B-SLERP-V1/d53a7070-911a-4a5e-ba0c-766c4f39b3f5.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Lil-R_2_PRYMMAL-ECE-2B-SLERP-V1/1762652579.7290292",
-  "retrieved_timestamp": "1762652579.72903",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Lil-R/2_PRYMMAL-ECE-2B-SLERP-V1",
-    "developer": "Lil-R",
-    "inference_platform": "unknown",
-    "id": "Lil-R/2_PRYMMAL-ECE-2B-SLERP-V1",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Gemma2ForCausalLM",
-      "params_billions": 2.614
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5823459531820016
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4287069505821554
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.09138972809667674
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3062080536912752
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.43746875
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2677859042553192
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Lil-R/2_PRYMMAL-ECE-2B-SLERP-V2/25368664-1f32-4d69-9afc-91d58efd01e2.json b/data/hfopenllm_v2/Lil-R/2_PRYMMAL-ECE-2B-SLERP-V2/25368664-1f32-4d69-9afc-91d58efd01e2.json
deleted file mode 100644
index e3b438aeb..000000000
--- a/data/hfopenllm_v2/Lil-R/2_PRYMMAL-ECE-2B-SLERP-V2/25368664-1f32-4d69-9afc-91d58efd01e2.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Lil-R_2_PRYMMAL-ECE-2B-SLERP-V2/1762652579.729285",
-  "retrieved_timestamp": "1762652579.729285",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Lil-R/2_PRYMMAL-ECE-2B-SLERP-V2",
-    "developer": "Lil-R",
-    "inference_platform": "unknown",
-    "id": "Lil-R/2_PRYMMAL-ECE-2B-SLERP-V2",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Gemma2ForCausalLM",
-      "params_billions": 2.614
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5542693386880144
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
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-        "lower_is_better": false,
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diff --git a/data/hfopenllm_v2/Lil-R/2_PRYMMAL-ECE-2B-SLERP-V2/5e715199-7030-47b4-89c6-83ba0968c07c.json b/data/hfopenllm_v2/Lil-R/2_PRYMMAL-ECE-2B-SLERP-V2/5e715199-7030-47b4-89c6-83ba0968c07c.json
new file mode 100644
index 000000000..343a94755
--- /dev/null
+++ b/data/hfopenllm_v2/Lil-R/2_PRYMMAL-ECE-2B-SLERP-V2/5e715199-7030-47b4-89c6-83ba0968c07c.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Lil-R_2_PRYMMAL-ECE-2B-SLERP-V2/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "2_PRYMMAL-ECE-2B-SLERP-V2",
+    "id": "Lil-R/2_PRYMMAL-ECE-2B-SLERP-V2",
+    "developer": "Lil-R",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Gemma2ForCausalLM",
+      "params_billions": 2.614
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5543
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4376
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0944
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2978
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4482
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2744
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Lil-R/2_PRYMMAL-ECE-7B-SLERP-V1/3fca39e8-443d-47da-a858-83a68c18eec9.json b/data/hfopenllm_v2/Lil-R/2_PRYMMAL-ECE-7B-SLERP-V1/3fca39e8-443d-47da-a858-83a68c18eec9.json
new file mode 100644
index 000000000..e5d8c93e6
--- /dev/null
+++ b/data/hfopenllm_v2/Lil-R/2_PRYMMAL-ECE-7B-SLERP-V1/3fca39e8-443d-47da-a858-83a68c18eec9.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Lil-R_2_PRYMMAL-ECE-7B-SLERP-V1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "2_PRYMMAL-ECE-7B-SLERP-V1",
+    "id": "Lil-R/2_PRYMMAL-ECE-7B-SLERP-V1",
+    "developer": "Lil-R",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1073
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3053
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0008
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2508
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3911
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1124
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Lil-R/2_PRYMMAL-ECE-7B-SLERP-V1/dcadbfb3-fbeb-4108-bc27-7ccfc7ba1e3a.json b/data/hfopenllm_v2/Lil-R/2_PRYMMAL-ECE-7B-SLERP-V1/dcadbfb3-fbeb-4108-bc27-7ccfc7ba1e3a.json
deleted file mode 100644
index 315069798..000000000
--- a/data/hfopenllm_v2/Lil-R/2_PRYMMAL-ECE-7B-SLERP-V1/dcadbfb3-fbeb-4108-bc27-7ccfc7ba1e3a.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/Lil-R_2_PRYMMAL-ECE-7B-SLERP-V1/1762652579.7297568",
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-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
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-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
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-    "name": "Lil-R/2_PRYMMAL-ECE-7B-SLERP-V1",
-    "developer": "Lil-R",
-    "inference_platform": "unknown",
-    "id": "Lil-R/2_PRYMMAL-ECE-7B-SLERP-V1",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.616
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.10733742026711349
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30525797550329686
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-    },
-    {
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-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3910833333333333
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Lil-R/2_PRYMMAL-ECE-7B-SLERP-V2/41c47381-66d5-4d3a-8bfb-4269cb882385.json b/data/hfopenllm_v2/Lil-R/2_PRYMMAL-ECE-7B-SLERP-V2/41c47381-66d5-4d3a-8bfb-4269cb882385.json
deleted file mode 100644
index cce2de56e..000000000
--- a/data/hfopenllm_v2/Lil-R/2_PRYMMAL-ECE-7B-SLERP-V2/41c47381-66d5-4d3a-8bfb-4269cb882385.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Lil-R_2_PRYMMAL-ECE-7B-SLERP-V2/1762652579.729984",
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-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Lil-R/2_PRYMMAL-ECE-7B-SLERP-V2",
-    "developer": "Lil-R",
-    "inference_platform": "unknown",
-    "id": "Lil-R/2_PRYMMAL-ECE-7B-SLERP-V2",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.616
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-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30525797550329686
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.25083892617449666
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3910833333333333
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11236702127659574
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-  ]
-}
diff --git a/data/hfopenllm_v2/Lil-R/2_PRYMMAL-ECE-7B-SLERP-V2/b7518bd2-d3af-49e6-823a-f8d507e8e60f.json b/data/hfopenllm_v2/Lil-R/2_PRYMMAL-ECE-7B-SLERP-V2/b7518bd2-d3af-49e6-823a-f8d507e8e60f.json
new file mode 100644
index 000000000..6709db764
--- /dev/null
+++ b/data/hfopenllm_v2/Lil-R/2_PRYMMAL-ECE-7B-SLERP-V2/b7518bd2-d3af-49e6-823a-f8d507e8e60f.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Lil-R_2_PRYMMAL-ECE-7B-SLERP-V2/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "2_PRYMMAL-ECE-7B-SLERP-V2",
+    "id": "Lil-R/2_PRYMMAL-ECE-7B-SLERP-V2",
+    "developer": "Lil-R",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1073
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3053
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0008
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2508
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3911
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1124
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Lil-R/2_PRYMMAL-ECE-7B-SLERP-V3/0c21359f-8f0b-44a8-813e-a5f612f13658.json b/data/hfopenllm_v2/Lil-R/2_PRYMMAL-ECE-7B-SLERP-V3/0c21359f-8f0b-44a8-813e-a5f612f13658.json
deleted file mode 100644
index 17876b9ba..000000000
--- a/data/hfopenllm_v2/Lil-R/2_PRYMMAL-ECE-7B-SLERP-V3/0c21359f-8f0b-44a8-813e-a5f612f13658.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Lil-R_2_PRYMMAL-ECE-7B-SLERP-V3/1762652579.730203",
-  "retrieved_timestamp": "1762652579.730203",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Lil-R/2_PRYMMAL-ECE-7B-SLERP-V3",
-    "developer": "Lil-R",
-    "inference_platform": "unknown",
-    "id": "Lil-R/2_PRYMMAL-ECE-7B-SLERP-V3",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.616
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.22346706738121516
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.357839880712804
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.006042296072507553
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.25671140939597314
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4107083333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.18168218085106383
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Lil-R/2_PRYMMAL-ECE-7B-SLERP-V3/fa399f16-1652-430c-be19-afaf5ab96be1.json b/data/hfopenllm_v2/Lil-R/2_PRYMMAL-ECE-7B-SLERP-V3/fa399f16-1652-430c-be19-afaf5ab96be1.json
new file mode 100644
index 000000000..04700dc51
--- /dev/null
+++ b/data/hfopenllm_v2/Lil-R/2_PRYMMAL-ECE-7B-SLERP-V3/fa399f16-1652-430c-be19-afaf5ab96be1.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Lil-R_2_PRYMMAL-ECE-7B-SLERP-V3/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "2_PRYMMAL-ECE-7B-SLERP-V3",
+    "id": "Lil-R/2_PRYMMAL-ECE-7B-SLERP-V3",
+    "developer": "Lil-R",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2235
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3578
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.006
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2567
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4107
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1817
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Lil-R/2_PRYMMAL-ECE-7B-SLERP/aa396cb3-10aa-4777-a185-fcb38ffc5ec3.json b/data/hfopenllm_v2/Lil-R/2_PRYMMAL-ECE-7B-SLERP/aa396cb3-10aa-4777-a185-fcb38ffc5ec3.json
deleted file mode 100644
index 4f2a878b7..000000000
--- a/data/hfopenllm_v2/Lil-R/2_PRYMMAL-ECE-7B-SLERP/aa396cb3-10aa-4777-a185-fcb38ffc5ec3.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Lil-R_2_PRYMMAL-ECE-7B-SLERP/1762652579.7294989",
-  "retrieved_timestamp": "1762652579.7294998",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Lil-R/2_PRYMMAL-ECE-7B-SLERP",
-    "developer": "Lil-R",
-    "inference_platform": "unknown",
-    "id": "Lil-R/2_PRYMMAL-ECE-7B-SLERP",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.616
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5577412376937636
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5556642048146725
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3632930513595166
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3104026845637584
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.43960416666666663
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.45071476063829785
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Lil-R/2_PRYMMAL-ECE-7B-SLERP/cbe5032b-122c-4a0b-a099-50e998a4bc77.json b/data/hfopenllm_v2/Lil-R/2_PRYMMAL-ECE-7B-SLERP/cbe5032b-122c-4a0b-a099-50e998a4bc77.json
new file mode 100644
index 000000000..ad0887f0c
--- /dev/null
+++ b/data/hfopenllm_v2/Lil-R/2_PRYMMAL-ECE-7B-SLERP/cbe5032b-122c-4a0b-a099-50e998a4bc77.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Lil-R_2_PRYMMAL-ECE-7B-SLERP/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "2_PRYMMAL-ECE-7B-SLERP",
+    "id": "Lil-R/2_PRYMMAL-ECE-7B-SLERP",
+    "developer": "Lil-R",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5577
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5557
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3633
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3104
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4396
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4507
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Lil-R/PRYMMAL-ECE-1B-SLERP-V1/a863e655-ee86-4f39-ae1a-0a65992f7eb4.json b/data/hfopenllm_v2/Lil-R/PRYMMAL-ECE-1B-SLERP-V1/a863e655-ee86-4f39-ae1a-0a65992f7eb4.json
deleted file mode 100644
index dd77dbcf3..000000000
--- a/data/hfopenllm_v2/Lil-R/PRYMMAL-ECE-1B-SLERP-V1/a863e655-ee86-4f39-ae1a-0a65992f7eb4.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Lil-R_PRYMMAL-ECE-1B-SLERP-V1/1762652579.7304142",
-  "retrieved_timestamp": "1762652579.730415",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Lil-R/PRYMMAL-ECE-1B-SLERP-V1",
-    "developer": "Lil-R",
-    "inference_platform": "unknown",
-    "id": "Lil-R/PRYMMAL-ECE-1B-SLERP-V1",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 1.777
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2874395492847866
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41904526564708194
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.10347432024169184
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
-        "score": 0.276006711409396
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
-        "score": 0.39743749999999994
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Lil-R/PRYMMAL-ECE-1B-SLERP-V1/fd8c3209-dcc0-4d27-a3aa-d0f76ef86f8d.json b/data/hfopenllm_v2/Lil-R/PRYMMAL-ECE-1B-SLERP-V1/fd8c3209-dcc0-4d27-a3aa-d0f76ef86f8d.json
new file mode 100644
index 000000000..82de476ba
--- /dev/null
+++ b/data/hfopenllm_v2/Lil-R/PRYMMAL-ECE-1B-SLERP-V1/fd8c3209-dcc0-4d27-a3aa-d0f76ef86f8d.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Lil-R_PRYMMAL-ECE-1B-SLERP-V1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "PRYMMAL-ECE-1B-SLERP-V1",
+    "id": "Lil-R/PRYMMAL-ECE-1B-SLERP-V1",
+    "developer": "Lil-R",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 1.777
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2874
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.419
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1035
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.276
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3974
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2926
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Lil-R/PRYMMAL-ECE-7B-SLERP-V8/1a18d49c-ad7b-4823-abbc-7191e9d659cd.json b/data/hfopenllm_v2/Lil-R/PRYMMAL-ECE-7B-SLERP-V8/1a18d49c-ad7b-4823-abbc-7191e9d659cd.json
new file mode 100644
index 000000000..1bab75b49
--- /dev/null
+++ b/data/hfopenllm_v2/Lil-R/PRYMMAL-ECE-7B-SLERP-V8/1a18d49c-ad7b-4823-abbc-7191e9d659cd.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Lil-R_PRYMMAL-ECE-7B-SLERP-V8/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "PRYMMAL-ECE-7B-SLERP-V8",
+    "id": "Lil-R/PRYMMAL-ECE-7B-SLERP-V8",
+    "developer": "Lil-R",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1258
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2955
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0098
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.25
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3631
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1128
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Lil-R/PRYMMAL-ECE-7B-SLERP-V8/6a81c514-57b9-4a45-9a1a-0378e7554d04.json b/data/hfopenllm_v2/Lil-R/PRYMMAL-ECE-7B-SLERP-V8/6a81c514-57b9-4a45-9a1a-0378e7554d04.json
deleted file mode 100644
index 2ae0f36d5..000000000
--- a/data/hfopenllm_v2/Lil-R/PRYMMAL-ECE-7B-SLERP-V8/6a81c514-57b9-4a45-9a1a-0378e7554d04.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Lil-R_PRYMMAL-ECE-7B-SLERP-V8/1762652579.7306318",
-  "retrieved_timestamp": "1762652579.730633",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Lil-R/PRYMMAL-ECE-7B-SLERP-V8",
-    "developer": "Lil-R",
-    "inference_platform": "unknown",
-    "id": "Lil-R/PRYMMAL-ECE-7B-SLERP-V8",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.616
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1258471965495995
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2955092966258663
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.009818731117824773
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.25
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.36314583333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11278257978723404
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/LilRg/10PRYMMAL-3B-slerp/9e2c614e-1104-43a6-9e8f-b7851562e01a.json b/data/hfopenllm_v2/LilRg/10PRYMMAL-3B-slerp/9e2c614e-1104-43a6-9e8f-b7851562e01a.json
new file mode 100644
index 000000000..3ab3feb1c
--- /dev/null
+++ b/data/hfopenllm_v2/LilRg/10PRYMMAL-3B-slerp/9e2c614e-1104-43a6-9e8f-b7851562e01a.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/LilRg_10PRYMMAL-3B-slerp/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "10PRYMMAL-3B-slerp",
+    "id": "LilRg/10PRYMMAL-3B-slerp",
+    "developer": "LilRg",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Phi3ForCausalLM",
+      "params_billions": 3.821
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1946
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.532
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1495
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3213
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4529
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3881
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/LilRg/10PRYMMAL-3B-slerp/e9371530-675d-48d1-9145-7ea15c893833.json b/data/hfopenllm_v2/LilRg/10PRYMMAL-3B-slerp/e9371530-675d-48d1-9145-7ea15c893833.json
deleted file mode 100644
index f161199d4..000000000
--- a/data/hfopenllm_v2/LilRg/10PRYMMAL-3B-slerp/e9371530-675d-48d1-9145-7ea15c893833.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/LilRg_10PRYMMAL-3B-slerp/1762652579.7308428",
-  "retrieved_timestamp": "1762652579.7308428",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "LilRg/10PRYMMAL-3B-slerp",
-    "developer": "LilRg",
-    "inference_platform": "unknown",
-    "id": "LilRg/10PRYMMAL-3B-slerp",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Phi3ForCausalLM",
-      "params_billions": 3.821
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1945903535951276
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5320377091634505
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.14954682779456194
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3213087248322148
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
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diff --git a/data/hfopenllm_v2/LilRg/ECE-1B-merge-PRYMMAL/3fefac8e-d5aa-4998-ab60-6e3dcc49f77f.json b/data/hfopenllm_v2/LilRg/ECE-1B-merge-PRYMMAL/3fefac8e-d5aa-4998-ab60-6e3dcc49f77f.json
deleted file mode 100644
index 2eaf78e3d..000000000
--- a/data/hfopenllm_v2/LilRg/ECE-1B-merge-PRYMMAL/3fefac8e-d5aa-4998-ab60-6e3dcc49f77f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/LilRg_ECE-1B-merge-PRYMMAL/1762652579.7310941",
-  "retrieved_timestamp": "1762652579.731095",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "LilRg/ECE-1B-merge-PRYMMAL",
-    "developer": "LilRg",
-    "inference_platform": "unknown",
-    "id": "LilRg/ECE-1B-merge-PRYMMAL",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 1.777
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42345600176908743
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.10120845921450151
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.28104026845637586
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3801041666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2906416223404255
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/LilRg/ECE-1B-merge-PRYMMAL/7d4b83ab-9c9d-46e5-8cbf-b8afcf781230.json b/data/hfopenllm_v2/LilRg/ECE-1B-merge-PRYMMAL/7d4b83ab-9c9d-46e5-8cbf-b8afcf781230.json
new file mode 100644
index 000000000..93bc8cf86
--- /dev/null
+++ b/data/hfopenllm_v2/LilRg/ECE-1B-merge-PRYMMAL/7d4b83ab-9c9d-46e5-8cbf-b8afcf781230.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/LilRg_ECE-1B-merge-PRYMMAL/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "ECE-1B-merge-PRYMMAL",
+    "id": "LilRg/ECE-1B-merge-PRYMMAL",
+    "developer": "LilRg",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 1.777
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2712
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4235
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1012
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.281
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3801
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2906
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/LilRg/ECE_Finetunning/a42b5d7e-be7f-4cde-aaf0-001e2cf05a44.json b/data/hfopenllm_v2/LilRg/ECE_Finetunning/a42b5d7e-be7f-4cde-aaf0-001e2cf05a44.json
new file mode 100644
index 000000000..fd422f5f3
--- /dev/null
+++ b/data/hfopenllm_v2/LilRg/ECE_Finetunning/a42b5d7e-be7f-4cde-aaf0-001e2cf05a44.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/LilRg_ECE_Finetunning/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "ECE_Finetunning",
+    "id": "LilRg/ECE_Finetunning",
+    "developer": "LilRg",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "?",
+      "params_billions": 16.061
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0445
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4732
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0453
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2827
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3839
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3191
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/LilRg/ECE_Finetunning/f20fd926-d690-4fe2-80a4-3e79dc37f03f.json b/data/hfopenllm_v2/LilRg/ECE_Finetunning/f20fd926-d690-4fe2-80a4-3e79dc37f03f.json
deleted file mode 100644
index e055de7dd..000000000
--- a/data/hfopenllm_v2/LilRg/ECE_Finetunning/f20fd926-d690-4fe2-80a4-3e79dc37f03f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/LilRg_ECE_Finetunning/1762652579.731307",
-  "retrieved_timestamp": "1762652579.731308",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "LilRg/ECE_Finetunning",
-    "developer": "LilRg",
-    "inference_platform": "unknown",
-    "id": "LilRg/ECE_Finetunning",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "?",
-      "params_billions": 16.061
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.04453849120334047
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.47321596790730514
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.045317220543806644
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2827181208053691
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.38394791666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3191489361702128
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/LilRg/PRYMMAL-6B-slerp/21f6688c-be52-4352-9c95-d37c0a5f6c94.json b/data/hfopenllm_v2/LilRg/PRYMMAL-6B-slerp/21f6688c-be52-4352-9c95-d37c0a5f6c94.json
new file mode 100644
index 000000000..ecbfdcf37
--- /dev/null
+++ b/data/hfopenllm_v2/LilRg/PRYMMAL-6B-slerp/21f6688c-be52-4352-9c95-d37c0a5f6c94.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/LilRg_PRYMMAL-6B-slerp/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "PRYMMAL-6B-slerp",
+    "id": "LilRg/PRYMMAL-6B-slerp",
+    "developer": "LilRg",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 3.293
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1153
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2868
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2458
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3698
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1108
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/LilRg/PRYMMAL-6B-slerp/8fedde0a-96fe-4a6f-9e0f-87832cfd418e.json b/data/hfopenllm_v2/LilRg/PRYMMAL-6B-slerp/8fedde0a-96fe-4a6f-9e0f-87832cfd418e.json
deleted file mode 100644
index 992a03e72..000000000
--- a/data/hfopenllm_v2/LilRg/PRYMMAL-6B-slerp/8fedde0a-96fe-4a6f-9e0f-87832cfd418e.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/LilRg_PRYMMAL-6B-slerp/1762652579.731526",
-  "retrieved_timestamp": "1762652579.7315269",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "LilRg/PRYMMAL-6B-slerp",
-    "developer": "LilRg",
-    "inference_platform": "unknown",
-    "id": "LilRg/PRYMMAL-6B-slerp",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 3.293
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11533065599276586
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.28676215692036117
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.0
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.24580536912751677
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.36975
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1107878989361702
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/LilRg/PRYMMAL-ECE-7B-SLERP-V3/a656eacf-8134-446c-8417-e1c3c54fe941.json b/data/hfopenllm_v2/LilRg/PRYMMAL-ECE-7B-SLERP-V3/a656eacf-8134-446c-8417-e1c3c54fe941.json
deleted file mode 100644
index 4f3b3aedb..000000000
--- a/data/hfopenllm_v2/LilRg/PRYMMAL-ECE-7B-SLERP-V3/a656eacf-8134-446c-8417-e1c3c54fe941.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/LilRg_PRYMMAL-ECE-7B-SLERP-V3/1762652579.731744",
-  "retrieved_timestamp": "1762652579.731745",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "LilRg/PRYMMAL-ECE-7B-SLERP-V3",
-    "developer": "LilRg",
-    "inference_platform": "unknown",
-    "id": "LilRg/PRYMMAL-ECE-7B-SLERP-V3",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.616
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.12432346174816154
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2957239084980124
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.009818731117824773
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.25671140939597314
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.36714583333333334
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11269946808510638
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/LilRg/PRYMMAL-ECE-7B-SLERP-V3/e92ba586-7bee-4a9b-b388-e35efde3d36f.json b/data/hfopenllm_v2/LilRg/PRYMMAL-ECE-7B-SLERP-V3/e92ba586-7bee-4a9b-b388-e35efde3d36f.json
new file mode 100644
index 000000000..e89c0598f
--- /dev/null
+++ b/data/hfopenllm_v2/LilRg/PRYMMAL-ECE-7B-SLERP-V3/e92ba586-7bee-4a9b-b388-e35efde3d36f.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/LilRg_PRYMMAL-ECE-7B-SLERP-V3/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "PRYMMAL-ECE-7B-SLERP-V3",
+    "id": "LilRg/PRYMMAL-ECE-7B-SLERP-V3",
+    "developer": "LilRg",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1243
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2957
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0098
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2567
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3671
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1127
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/LilRg/PRYMMAL-ECE-7B-SLERP-V4/0d276bd3-a338-4383-88b0-9e653ae01387.json b/data/hfopenllm_v2/LilRg/PRYMMAL-ECE-7B-SLERP-V4/0d276bd3-a338-4383-88b0-9e653ae01387.json
deleted file mode 100644
index e43222e2d..000000000
--- a/data/hfopenllm_v2/LilRg/PRYMMAL-ECE-7B-SLERP-V4/0d276bd3-a338-4383-88b0-9e653ae01387.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/LilRg_PRYMMAL-ECE-7B-SLERP-V4/1762652579.731953",
-  "retrieved_timestamp": "1762652579.7319539",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "LilRg/PRYMMAL-ECE-7B-SLERP-V4",
-    "developer": "LilRg",
-    "inference_platform": "unknown",
-    "id": "LilRg/PRYMMAL-ECE-7B-SLERP-V4",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.616
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.12492298213185458
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2957239084980124
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.009818731117824773
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.25671140939597314
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.36714583333333334
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11269946808510638
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/LilRg/PRYMMAL-ECE-7B-SLERP-V4/45ed0bb3-efbf-4a32-9735-d814aa08790a.json b/data/hfopenllm_v2/LilRg/PRYMMAL-ECE-7B-SLERP-V4/45ed0bb3-efbf-4a32-9735-d814aa08790a.json
new file mode 100644
index 000000000..caaf555af
--- /dev/null
+++ b/data/hfopenllm_v2/LilRg/PRYMMAL-ECE-7B-SLERP-V4/45ed0bb3-efbf-4a32-9735-d814aa08790a.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/LilRg_PRYMMAL-ECE-7B-SLERP-V4/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "PRYMMAL-ECE-7B-SLERP-V4",
+    "id": "LilRg/PRYMMAL-ECE-7B-SLERP-V4",
+    "developer": "LilRg",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1249
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2957
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0098
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2567
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3671
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1127
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/LilRg/PRYMMAL-ECE-7B-SLERP-V5/150d0730-e194-4d2b-96e1-54f914b5fe28.json b/data/hfopenllm_v2/LilRg/PRYMMAL-ECE-7B-SLERP-V5/150d0730-e194-4d2b-96e1-54f914b5fe28.json
deleted file mode 100644
index 458cf371d..000000000
--- a/data/hfopenllm_v2/LilRg/PRYMMAL-ECE-7B-SLERP-V5/150d0730-e194-4d2b-96e1-54f914b5fe28.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/LilRg_PRYMMAL-ECE-7B-SLERP-V5/1762652579.7321632",
-  "retrieved_timestamp": "1762652579.7321641",
-  "source_data": [
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diff --git a/data/hfopenllm_v2/LilRg/PRYMMAL-ECE-7B-SLERP-V5/eff28375-89a7-4970-9342-428b07d0c6f4.json b/data/hfopenllm_v2/LilRg/PRYMMAL-ECE-7B-SLERP-V5/eff28375-89a7-4970-9342-428b07d0c6f4.json
new file mode 100644
index 000000000..17c5c7e82
--- /dev/null
+++ b/data/hfopenllm_v2/LilRg/PRYMMAL-ECE-7B-SLERP-V5/eff28375-89a7-4970-9342-428b07d0c6f4.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/LilRg_PRYMMAL-ECE-7B-SLERP-V5/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "PRYMMAL-ECE-7B-SLERP-V5",
+    "id": "LilRg/PRYMMAL-ECE-7B-SLERP-V5",
+    "developer": "LilRg",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1249
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2957
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0098
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2567
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3671
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1127
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/LilRg/PRYMMAL-ECE-7B-SLERP-V6/23877e30-b8fb-45ea-a803-47df757ea909.json b/data/hfopenllm_v2/LilRg/PRYMMAL-ECE-7B-SLERP-V6/23877e30-b8fb-45ea-a803-47df757ea909.json
new file mode 100644
index 000000000..ec37cc975
--- /dev/null
+++ b/data/hfopenllm_v2/LilRg/PRYMMAL-ECE-7B-SLERP-V6/23877e30-b8fb-45ea-a803-47df757ea909.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/LilRg_PRYMMAL-ECE-7B-SLERP-V6/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "PRYMMAL-ECE-7B-SLERP-V6",
+    "id": "LilRg/PRYMMAL-ECE-7B-SLERP-V6",
+    "developer": "LilRg",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1243
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2957
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0098
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2567
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3671
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1127
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/LilRg/PRYMMAL-ECE-7B-SLERP-V6/b23913b9-f774-4927-be16-874d8e146218.json b/data/hfopenllm_v2/LilRg/PRYMMAL-ECE-7B-SLERP-V6/b23913b9-f774-4927-be16-874d8e146218.json
deleted file mode 100644
index 91b240219..000000000
--- a/data/hfopenllm_v2/LilRg/PRYMMAL-ECE-7B-SLERP-V6/b23913b9-f774-4927-be16-874d8e146218.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/LilRg_PRYMMAL-ECE-7B-SLERP-V6/1762652579.732379",
-  "retrieved_timestamp": "1762652579.732379",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "LilRg/PRYMMAL-ECE-7B-SLERP-V6",
-    "developer": "LilRg",
-    "inference_platform": "unknown",
-    "id": "LilRg/PRYMMAL-ECE-7B-SLERP-V6",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.616
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2957239084980124
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.009818731117824773
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.25671140939597314
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.36714583333333334
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11269946808510638
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/LilRg/PRYMMAL-ECE-7B-SLERP-V7/8bc25d04-9cc5-4551-a9c5-ce185c7ad974.json b/data/hfopenllm_v2/LilRg/PRYMMAL-ECE-7B-SLERP-V7/8bc25d04-9cc5-4551-a9c5-ce185c7ad974.json
new file mode 100644
index 000000000..06e5be7ee
--- /dev/null
+++ b/data/hfopenllm_v2/LilRg/PRYMMAL-ECE-7B-SLERP-V7/8bc25d04-9cc5-4551-a9c5-ce185c7ad974.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/LilRg_PRYMMAL-ECE-7B-SLERP-V7/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "PRYMMAL-ECE-7B-SLERP-V7",
+    "id": "LilRg/PRYMMAL-ECE-7B-SLERP-V7",
+    "developer": "LilRg",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1249
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2957
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0098
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2567
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3671
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1127
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/LilRg/PRYMMAL-ECE-7B-SLERP-V7/dd12d7df-9b32-4d2a-ae9a-40304cf4bfd7.json b/data/hfopenllm_v2/LilRg/PRYMMAL-ECE-7B-SLERP-V7/dd12d7df-9b32-4d2a-ae9a-40304cf4bfd7.json
deleted file mode 100644
index 433631425..000000000
--- a/data/hfopenllm_v2/LilRg/PRYMMAL-ECE-7B-SLERP-V7/dd12d7df-9b32-4d2a-ae9a-40304cf4bfd7.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/LilRg_PRYMMAL-ECE-7B-SLERP-V7/1762652579.732605",
-  "retrieved_timestamp": "1762652579.732606",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
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deleted file mode 100644
index 674d8b65f..000000000
--- a/data/hfopenllm_v2/LilRg/PRYMMAL-slerp-Merge/9574abe0-00e3-4e38-bda0-b217f002a480.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/LilRg/PRYMMAL-slerp-Merge/d2d4b5a5-109d-4d26-a166-3d97b341584e.json b/data/hfopenllm_v2/LilRg/PRYMMAL-slerp-Merge/d2d4b5a5-109d-4d26-a166-3d97b341584e.json
new file mode 100644
index 000000000..3ff38766a
--- /dev/null
+++ b/data/hfopenllm_v2/LilRg/PRYMMAL-slerp-Merge/d2d4b5a5-109d-4d26-a166-3d97b341584e.json
@@ -0,0 +1,132 @@
+{
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+    "id": "LilRg/PRYMMAL-slerp-Merge",
+    "developer": "LilRg",
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/LimYeri/CodeMind-Llama3-8B-unsloth_v2-merged/ac404d92-7a06-4758-ab1d-fcf840c2b995.json b/data/hfopenllm_v2/LimYeri/CodeMind-Llama3-8B-unsloth_v2-merged/ac404d92-7a06-4758-ab1d-fcf840c2b995.json
new file mode 100644
index 000000000..c0faabec4
--- /dev/null
+++ b/data/hfopenllm_v2/LimYeri/CodeMind-Llama3-8B-unsloth_v2-merged/ac404d92-7a06-4758-ab1d-fcf840c2b995.json
@@ -0,0 +1,132 @@
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+    "developer": "LimYeri",
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+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
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+        "hf_repo": "TAUR-Lab/MuSR"
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/LimYeri/CodeMind-Llama3-8B-unsloth_v3-merged/95ea7fbf-d3f2-4fc1-ba17-05549f6e4d25.json b/data/hfopenllm_v2/LimYeri/CodeMind-Llama3-8B-unsloth_v3-merged/95ea7fbf-d3f2-4fc1-ba17-05549f6e4d25.json
new file mode 100644
index 000000000..535530ceb
--- /dev/null
+++ b/data/hfopenllm_v2/LimYeri/CodeMind-Llama3-8B-unsloth_v3-merged/95ea7fbf-d3f2-4fc1-ba17-05549f6e4d25.json
@@ -0,0 +1,132 @@
+{
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+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
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+    "name": "CodeMind-Llama3-8B-unsloth_v3-merged",
+    "id": "LimYeri/CodeMind-Llama3-8B-unsloth_v3-merged",
+    "developer": "LimYeri",
+    "inference_platform": "unknown",
+    "additional_details": {
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+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
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+  "evaluation_results": [
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+        "max_score": 1.0
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+      },
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+        "max_score": 1.0
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+    },
+    {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
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+        "score_type": "continuous",
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+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/LimYeri/CodeMind-Llama3-8B-unsloth_v4-one-DPO-merged/c101e272-24d2-44db-9b0f-2ed4d17cec41.json b/data/hfopenllm_v2/LimYeri/CodeMind-Llama3-8B-unsloth_v4-one-DPO-merged/c101e272-24d2-44db-9b0f-2ed4d17cec41.json
new file mode 100644
index 000000000..c1155f027
--- /dev/null
+++ b/data/hfopenllm_v2/LimYeri/CodeMind-Llama3-8B-unsloth_v4-one-DPO-merged/c101e272-24d2-44db-9b0f-2ed4d17cec41.json
@@ -0,0 +1,132 @@
+{
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+  "evaluation_id": "hfopenllm_v2/LimYeri_CodeMind-Llama3-8B-unsloth_v4-one-DPO-merged/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "CodeMind-Llama3-8B-unsloth_v4-one-DPO-merged",
+    "id": "LimYeri/CodeMind-Llama3-8B-unsloth_v4-one-DPO-merged",
+    "developer": "LimYeri",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6492
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4853
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.068
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2685
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3608
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3354
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/LimYeri/CodeMind-Llama3-8B-unsloth_v4-one-DPO-merged/d020a655-1cc0-49e9-9db1-f8b871babd5c.json b/data/hfopenllm_v2/LimYeri/CodeMind-Llama3-8B-unsloth_v4-one-DPO-merged/d020a655-1cc0-49e9-9db1-f8b871babd5c.json
deleted file mode 100644
index 3b81edd79..000000000
--- a/data/hfopenllm_v2/LimYeri/CodeMind-Llama3-8B-unsloth_v4-one-DPO-merged/d020a655-1cc0-49e9-9db1-f8b871babd5c.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/LimYeri_CodeMind-Llama3-8B-unsloth_v4-one-DPO-merged/1762652579.733827",
-  "retrieved_timestamp": "1762652579.733829",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "LimYeri/CodeMind-Llama3-8B-unsloth_v4-one-DPO-merged",
-    "developer": "LimYeri",
-    "inference_platform": "unknown",
-    "id": "LimYeri/CodeMind-Llama3-8B-unsloth_v4-one-DPO-merged",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
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-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6492406813920397
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
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-        "score": 0.48526582322240047
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-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-        "score": 0.06797583081570997
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2684563758389262
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3607916666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3353557180851064
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/LimYeri/CodeMind-Llama3-8B-unsloth_v4-one-merged/2cb789c7-dddf-42b2-8fdf-4cbd5132946c.json b/data/hfopenllm_v2/LimYeri/CodeMind-Llama3-8B-unsloth_v4-one-merged/2cb789c7-dddf-42b2-8fdf-4cbd5132946c.json
new file mode 100644
index 000000000..14803d71b
--- /dev/null
+++ b/data/hfopenllm_v2/LimYeri/CodeMind-Llama3-8B-unsloth_v4-one-merged/2cb789c7-dddf-42b2-8fdf-4cbd5132946c.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/LimYeri_CodeMind-Llama3-8B-unsloth_v4-one-merged/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "CodeMind-Llama3-8B-unsloth_v4-one-merged",
+    "id": "LimYeri/CodeMind-Llama3-8B-unsloth_v4-one-merged",
+    "developer": "LimYeri",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3211
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4739
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0551
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3096
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4069
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3353
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/LimYeri/CodeMind-Llama3.1-8B-unsloth-merged/a414aefd-ce24-49a9-b431-0c6014ebfbd8.json b/data/hfopenllm_v2/LimYeri/CodeMind-Llama3.1-8B-unsloth-merged/a414aefd-ce24-49a9-b431-0c6014ebfbd8.json
new file mode 100644
index 000000000..323a4d3be
--- /dev/null
+++ b/data/hfopenllm_v2/LimYeri/CodeMind-Llama3.1-8B-unsloth-merged/a414aefd-ce24-49a9-b431-0c6014ebfbd8.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/LimYeri_CodeMind-Llama3.1-8B-unsloth-merged/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "CodeMind-Llama3.1-8B-unsloth-merged",
+    "id": "LimYeri/CodeMind-Llama3.1-8B-unsloth-merged",
+    "developer": "LimYeri",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.649
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4695
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1088
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2643
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3752
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.334
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Locutusque/CollectiveLM-Falcon-3-7B/44737b7e-4942-4496-a818-fddce66da4d6.json b/data/hfopenllm_v2/Locutusque/CollectiveLM-Falcon-3-7B/44737b7e-4942-4496-a818-fddce66da4d6.json
deleted file mode 100644
index 7d4ff5c2f..000000000
--- a/data/hfopenllm_v2/Locutusque/CollectiveLM-Falcon-3-7B/44737b7e-4942-4496-a818-fddce66da4d6.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Locutusque_CollectiveLM-Falcon-3-7B/1762652579.734693",
-  "retrieved_timestamp": "1762652579.734694",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Locutusque/CollectiveLM-Falcon-3-7B",
-    "developer": "Locutusque",
-    "inference_platform": "unknown",
-    "id": "Locutusque/CollectiveLM-Falcon-3-7B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 7.456
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-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
-        "score": 0.3918281271470808
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5105131374222629
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.21827794561933533
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.32550335570469796
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3887291666666666
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.35987367021276595
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Locutusque/CollectiveLM-Falcon-3-7B/91fcb6a3-d351-48c8-87e8-e2a06642e925.json b/data/hfopenllm_v2/Locutusque/CollectiveLM-Falcon-3-7B/91fcb6a3-d351-48c8-87e8-e2a06642e925.json
new file mode 100644
index 000000000..95e472469
--- /dev/null
+++ b/data/hfopenllm_v2/Locutusque/CollectiveLM-Falcon-3-7B/91fcb6a3-d351-48c8-87e8-e2a06642e925.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Locutusque_CollectiveLM-Falcon-3-7B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/Locutusque/Hercules-6.0-Llama-3.1-8B/3cd90efa-ddf0-43c4-884c-84337ded14b2.json b/data/hfopenllm_v2/Locutusque/Hercules-6.0-Llama-3.1-8B/3cd90efa-ddf0-43c4-884c-84337ded14b2.json
new file mode 100644
index 000000000..200257158
--- /dev/null
+++ b/data/hfopenllm_v2/Locutusque/Hercules-6.0-Llama-3.1-8B/3cd90efa-ddf0-43c4-884c-84337ded14b2.json
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/Locutusque/Hercules-6.1-Llama-3.1-8B/c66c21e9-a332-40f9-ae87-bdd78a25d753.json b/data/hfopenllm_v2/Locutusque/Hercules-6.1-Llama-3.1-8B/c66c21e9-a332-40f9-ae87-bdd78a25d753.json
new file mode 100644
index 000000000..c70788d79
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/Locutusque/Llama-3-NeuralHercules-5.0-8B/0b4def91-29df-45d9-8dd4-c4097ec47ba3.json b/data/hfopenllm_v2/Locutusque/Llama-3-NeuralHercules-5.0-8B/0b4def91-29df-45d9-8dd4-c4097ec47ba3.json
new file mode 100644
index 000000000..289875aa0
--- /dev/null
+++ b/data/hfopenllm_v2/Locutusque/Llama-3-NeuralHercules-5.0-8B/0b4def91-29df-45d9-8dd4-c4097ec47ba3.json
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Locutusque/Llama-3-Yggdrasil-2.0-8B/2cbf258c-369e-4b1c-863f-43cf97c3a7a4.json b/data/hfopenllm_v2/Locutusque/Llama-3-Yggdrasil-2.0-8B/2cbf258c-369e-4b1c-863f-43cf97c3a7a4.json
new file mode 100644
index 000000000..04066b41d
--- /dev/null
+++ b/data/hfopenllm_v2/Locutusque/Llama-3-Yggdrasil-2.0-8B/2cbf258c-369e-4b1c-863f-43cf97c3a7a4.json
@@ -0,0 +1,132 @@
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3167
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Locutusque/TinyMistral-248M-v2.5/8372889e-f9cd-4cf7-aec0-8e18d5c627e3.json b/data/hfopenllm_v2/Locutusque/TinyMistral-248M-v2.5/8372889e-f9cd-4cf7-aec0-8e18d5c627e3.json
new file mode 100644
index 000000000..f44380bf2
--- /dev/null
+++ b/data/hfopenllm_v2/Locutusque/TinyMistral-248M-v2.5/8372889e-f9cd-4cf7-aec0-8e18d5c627e3.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Locutusque_TinyMistral-248M-v2.5/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "TinyMistral-248M-v2.5",
+    "id": "Locutusque/TinyMistral-248M-v2.5",
+    "developer": "Locutusque",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 0.248
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1336
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3039
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0098
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2508
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3782
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1135
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Luni/StarDust-12b-v1/ce4cc270-57da-4d08-9130-62508b409cb2.json b/data/hfopenllm_v2/Luni/StarDust-12b-v1/ce4cc270-57da-4d08-9130-62508b409cb2.json
new file mode 100644
index 000000000..cba3a4a90
--- /dev/null
+++ b/data/hfopenllm_v2/Luni/StarDust-12b-v1/ce4cc270-57da-4d08-9130-62508b409cb2.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Luni_StarDust-12b-v1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "StarDust-12b-v1",
+    "id": "Luni/StarDust-12b-v1",
+    "developer": "Luni",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 12.248
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5459
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5366
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0763
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.276
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4324
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3412
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Luni/StarDust-12b-v1/fa64b745-6b4b-4fee-b77e-d744e54a17d6.json b/data/hfopenllm_v2/Luni/StarDust-12b-v1/fa64b745-6b4b-4fee-b77e-d744e54a17d6.json
deleted file mode 100644
index fa696a87f..000000000
--- a/data/hfopenllm_v2/Luni/StarDust-12b-v1/fa64b745-6b4b-4fee-b77e-d744e54a17d6.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Luni_StarDust-12b-v1/1762652579.736537",
-  "retrieved_timestamp": "1762652579.7365382",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Luni/StarDust-12b-v1",
-    "developer": "Luni",
-    "inference_platform": "unknown",
-    "id": "Luni/StarDust-12b-v1",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 12.248
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5459259210007226
-      }
-    },
-    {
-      "evaluation_name": "BBH",
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-      }
-    },
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-        "lower_is_better": false,
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-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.276006711409396
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
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-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.43244791666666665
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.34117353723404253
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Luni/StarDust-12b-v2/401f6afc-9a2a-4bfe-87b2-daa6df848424.json b/data/hfopenllm_v2/Luni/StarDust-12b-v2/401f6afc-9a2a-4bfe-87b2-daa6df848424.json
deleted file mode 100644
index c0c85098b..000000000
--- a/data/hfopenllm_v2/Luni/StarDust-12b-v2/401f6afc-9a2a-4bfe-87b2-daa6df848424.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Luni_StarDust-12b-v2/1762652579.736784",
-  "retrieved_timestamp": "1762652579.736785",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Luni/StarDust-12b-v2",
-    "developer": "Luni",
-    "inference_platform": "unknown",
-    "id": "Luni/StarDust-12b-v2",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 12.248
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
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-        "min_score": 0,
-        "max_score": 1
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-    {
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-        "max_score": 1
-      },
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-    {
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-    },
-    {
-      "evaluation_name": "GPQA",
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-      "score_details": {
-        "score": 0.2936241610738255
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4338125
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3439162234042553
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Luni/StarDust-12b-v2/4cfedb8f-0e47-4008-9bc5-fb15e4afa607.json b/data/hfopenllm_v2/Luni/StarDust-12b-v2/4cfedb8f-0e47-4008-9bc5-fb15e4afa607.json
new file mode 100644
index 000000000..b3c1d3a2d
--- /dev/null
+++ b/data/hfopenllm_v2/Luni/StarDust-12b-v2/4cfedb8f-0e47-4008-9bc5-fb15e4afa607.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Luni_StarDust-12b-v2/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "StarDust-12b-v2",
+    "id": "Luni/StarDust-12b-v2",
+    "developer": "Luni",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 12.248
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5629
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5419
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0687
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2936
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4338
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3439
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Lunzima/NQLSG-Qwen2.5-14B-MegaFusion-v3/de3c949d-bab5-4430-bdd1-48e1b7860934.json b/data/hfopenllm_v2/Lunzima/NQLSG-Qwen2.5-14B-MegaFusion-v3/de3c949d-bab5-4430-bdd1-48e1b7860934.json
new file mode 100644
index 000000000..a9ed180e4
--- /dev/null
+++ b/data/hfopenllm_v2/Lunzima/NQLSG-Qwen2.5-14B-MegaFusion-v3/de3c949d-bab5-4430-bdd1-48e1b7860934.json
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/Lunzima/NQLSG-Qwen2.5-14B-MegaFusion-v4/011e53cd-409f-479b-9c3d-bfce75a1277b.json b/data/hfopenllm_v2/Lunzima/NQLSG-Qwen2.5-14B-MegaFusion-v4/011e53cd-409f-479b-9c3d-bfce75a1277b.json
new file mode 100644
index 000000000..77effc1ca
--- /dev/null
+++ b/data/hfopenllm_v2/Lunzima/NQLSG-Qwen2.5-14B-MegaFusion-v4/011e53cd-409f-479b-9c3d-bfce75a1277b.json
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/Lunzima/NQLSG-Qwen2.5-14B-MegaFusion-v5/1ff40e45-5be4-4625-9f66-5599a829903d.json b/data/hfopenllm_v2/Lunzima/NQLSG-Qwen2.5-14B-MegaFusion-v5/1ff40e45-5be4-4625-9f66-5599a829903d.json
new file mode 100644
index 000000000..5eaad0555
--- /dev/null
+++ b/data/hfopenllm_v2/Lunzima/NQLSG-Qwen2.5-14B-MegaFusion-v5/1ff40e45-5be4-4625-9f66-5599a829903d.json
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Lunzima/NQLSG-Qwen2.5-14B-MegaFusion-v6-cpt/fed97d94-2949-4383-8f25-fa79bd413508.json b/data/hfopenllm_v2/Lunzima/NQLSG-Qwen2.5-14B-MegaFusion-v6-cpt/fed97d94-2949-4383-8f25-fa79bd413508.json
new file mode 100644
index 000000000..264dd2b3d
--- /dev/null
+++ b/data/hfopenllm_v2/Lunzima/NQLSG-Qwen2.5-14B-MegaFusion-v6-cpt/fed97d94-2949-4383-8f25-fa79bd413508.json
@@ -0,0 +1,132 @@
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Lunzima/NQLSG-Qwen2.5-14B-MegaFusion-v6/f4820bc8-7dfd-4439-af95-21b6cc9367ac.json b/data/hfopenllm_v2/Lunzima/NQLSG-Qwen2.5-14B-MegaFusion-v6/f4820bc8-7dfd-4439-af95-21b6cc9367ac.json
new file mode 100644
index 000000000..37d866ec4
--- /dev/null
+++ b/data/hfopenllm_v2/Lunzima/NQLSG-Qwen2.5-14B-MegaFusion-v6/f4820bc8-7dfd-4439-af95-21b6cc9367ac.json
@@ -0,0 +1,132 @@
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+    "developer": "Lunzima",
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/Lunzima/NQLSG-Qwen2.5-14B-MegaFusion-v7-rebase/36e576bb-de50-49ec-a91f-f134c11bbe38.json b/data/hfopenllm_v2/Lunzima/NQLSG-Qwen2.5-14B-MegaFusion-v7-rebase/36e576bb-de50-49ec-a91f-f134c11bbe38.json
new file mode 100644
index 000000000..fbc0a8b94
--- /dev/null
+++ b/data/hfopenllm_v2/Lunzima/NQLSG-Qwen2.5-14B-MegaFusion-v7-rebase/36e576bb-de50-49ec-a91f-f134c11bbe38.json
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/Lunzima/NQLSG-Qwen2.5-14B-MegaFusion-v7/0edd388b-7a1b-4334-9b72-52d84653ff67.json b/data/hfopenllm_v2/Lunzima/NQLSG-Qwen2.5-14B-MegaFusion-v7/0edd388b-7a1b-4334-9b72-52d84653ff67.json
new file mode 100644
index 000000000..a93457aeb
--- /dev/null
+++ b/data/hfopenllm_v2/Lunzima/NQLSG-Qwen2.5-14B-MegaFusion-v7/0edd388b-7a1b-4334-9b72-52d84653ff67.json
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/Lunzima/NQLSG-Qwen2.5-14B-MegaFusion-v8.5/b3199674-328e-41a0-9aa4-bf39aec735bc.json b/data/hfopenllm_v2/Lunzima/NQLSG-Qwen2.5-14B-MegaFusion-v8.5/b3199674-328e-41a0-9aa4-bf39aec735bc.json
new file mode 100644
index 000000000..948f8741b
--- /dev/null
+++ b/data/hfopenllm_v2/Lunzima/NQLSG-Qwen2.5-14B-MegaFusion-v8.5/b3199674-328e-41a0-9aa4-bf39aec735bc.json
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/Lunzima/NQLSG-Qwen2.5-14B-MegaFusion-v8.6/52db4d79-7040-4525-934e-0f33e4acec63.json b/data/hfopenllm_v2/Lunzima/NQLSG-Qwen2.5-14B-MegaFusion-v8.6/52db4d79-7040-4525-934e-0f33e4acec63.json
new file mode 100644
index 000000000..0b2f0fd81
--- /dev/null
+++ b/data/hfopenllm_v2/Lunzima/NQLSG-Qwen2.5-14B-MegaFusion-v8.6/52db4d79-7040-4525-934e-0f33e4acec63.json
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Lunzima/NQLSG-Qwen2.5-14B-MegaFusion-v8.7/ee34821e-9182-433f-a8b0-745711e23738.json b/data/hfopenllm_v2/Lunzima/NQLSG-Qwen2.5-14B-MegaFusion-v8.7/ee34821e-9182-433f-a8b0-745711e23738.json
new file mode 100644
index 000000000..5a366fbb8
--- /dev/null
+++ b/data/hfopenllm_v2/Lunzima/NQLSG-Qwen2.5-14B-MegaFusion-v8.7/ee34821e-9182-433f-a8b0-745711e23738.json
@@ -0,0 +1,132 @@
+{
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diff --git a/data/hfopenllm_v2/Lunzima/NQLSG-Qwen2.5-14B-MegaFusion-v8.8/10ef0990-5356-432f-b24c-dd107188ec5f.json b/data/hfopenllm_v2/Lunzima/NQLSG-Qwen2.5-14B-MegaFusion-v8.8/10ef0990-5356-432f-b24c-dd107188ec5f.json
new file mode 100644
index 000000000..be4b45ebc
--- /dev/null
+++ b/data/hfopenllm_v2/Lunzima/NQLSG-Qwen2.5-14B-MegaFusion-v8.8/10ef0990-5356-432f-b24c-dd107188ec5f.json
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diff --git a/data/hfopenllm_v2/Lunzima/NQLSG-Qwen2.5-14B-MegaFusion-v8.9/47de680d-33b1-4441-92da-4b97a5fc513f.json b/data/hfopenllm_v2/Lunzima/NQLSG-Qwen2.5-14B-MegaFusion-v8.9/47de680d-33b1-4441-92da-4b97a5fc513f.json
new file mode 100644
index 000000000..f10ff96d2
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diff --git a/data/hfopenllm_v2/Lunzima/NQLSG-Qwen2.5-14B-MegaFusion-v8/96ac0351-2ade-4d76-bcf9-bc0f633f8694.json b/data/hfopenllm_v2/Lunzima/NQLSG-Qwen2.5-14B-MegaFusion-v8/96ac0351-2ade-4d76-bcf9-bc0f633f8694.json
new file mode 100644
index 000000000..e0b9d6239
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/Lunzima/NQLSG-Qwen2.5-14B-MegaFusion-v9-stock/31aae266-c14b-451f-8bab-62ee7d5d382e.json b/data/hfopenllm_v2/Lunzima/NQLSG-Qwen2.5-14B-MegaFusion-v9-stock/31aae266-c14b-451f-8bab-62ee7d5d382e.json
new file mode 100644
index 000000000..0e46ee73a
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diff --git a/data/hfopenllm_v2/Lunzima/NQLSG-Qwen2.5-14B-MegaFusion-v9.1/f6edb102-e867-46d1-afdc-3c45166bd510.json b/data/hfopenllm_v2/Lunzima/NQLSG-Qwen2.5-14B-MegaFusion-v9.1/f6edb102-e867-46d1-afdc-3c45166bd510.json
new file mode 100644
index 000000000..45123ecdc
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+++ b/data/hfopenllm_v2/Lunzima/NQLSG-Qwen2.5-14B-MegaFusion-v9.1/f6edb102-e867-46d1-afdc-3c45166bd510.json
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diff --git a/data/hfopenllm_v2/Lunzima/NQLSG-Qwen2.5-14B-MegaFusion-v9.2/8b7756cc-9af3-4f98-84ac-7fef4c1bdaa0.json b/data/hfopenllm_v2/Lunzima/NQLSG-Qwen2.5-14B-MegaFusion-v9.2/8b7756cc-9af3-4f98-84ac-7fef4c1bdaa0.json
new file mode 100644
index 000000000..3c1854b85
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/Lunzima/NQLSG-Qwen2.5-14B-MegaFusion-v9/dcf33a22-5e57-4476-a2cb-ebd60407a920.json b/data/hfopenllm_v2/Lunzima/NQLSG-Qwen2.5-14B-MegaFusion-v9/dcf33a22-5e57-4476-a2cb-ebd60407a920.json
new file mode 100644
index 000000000..f8f18e3db
--- /dev/null
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/Lunzima/NQLSG-Qwen2.5-14B-OriginalFusion/15659480-be0b-41c8-a463-873be444b194.json b/data/hfopenllm_v2/Lunzima/NQLSG-Qwen2.5-14B-OriginalFusion/15659480-be0b-41c8-a463-873be444b194.json
new file mode 100644
index 000000000..179cbfc2b
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+++ b/data/hfopenllm_v2/Lunzima/NQLSG-Qwen2.5-14B-OriginalFusion/15659480-be0b-41c8-a463-873be444b194.json
@@ -0,0 +1,132 @@
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Lyte/Llama-3.1-8B-Instruct-Reasoner-1o1_v0.3/0444c1bf-a3d3-4d23-bc6c-0a98c4dc1e9d.json b/data/hfopenllm_v2/Lyte/Llama-3.1-8B-Instruct-Reasoner-1o1_v0.3/0444c1bf-a3d3-4d23-bc6c-0a98c4dc1e9d.json
new file mode 100644
index 000000000..3b3f7cc5e
--- /dev/null
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@@ -0,0 +1,132 @@
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+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.0
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7098
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.495
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1903
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2701
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3461
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3618
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Lyte/Llama-3.1-8B-Instruct-Reasoner-1o1_v0.3/8fdc62c0-215c-4502-8f56-188455fe2d9e.json b/data/hfopenllm_v2/Lyte/Llama-3.1-8B-Instruct-Reasoner-1o1_v0.3/8fdc62c0-215c-4502-8f56-188455fe2d9e.json
deleted file mode 100644
index 1f8ad178b..000000000
--- a/data/hfopenllm_v2/Lyte/Llama-3.1-8B-Instruct-Reasoner-1o1_v0.3/8fdc62c0-215c-4502-8f56-188455fe2d9e.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Lyte_Llama-3.1-8B-Instruct-Reasoner-1o1_v0.3/1762652579.74142",
-  "retrieved_timestamp": "1762652579.74142",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Lyte/Llama-3.1-8B-Instruct-Reasoner-1o1_v0.3",
-    "developer": "Lyte",
-    "inference_platform": "unknown",
-    "id": "Lyte/Llama-3.1-8B-Instruct-Reasoner-1o1_v0.3",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.0
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7098155117310957
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4949521619329585
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1903323262839879
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2701342281879195
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.346125
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.36178523936170215
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Lyte/Llama-3.2-1B-Instruct-COT-RL-Expriement1-EP04/93aa3a13-5069-410f-a1df-6944e0231e0e.json b/data/hfopenllm_v2/Lyte/Llama-3.2-1B-Instruct-COT-RL-Expriement1-EP04/93aa3a13-5069-410f-a1df-6944e0231e0e.json
new file mode 100644
index 000000000..1d73f7a54
--- /dev/null
+++ b/data/hfopenllm_v2/Lyte/Llama-3.2-1B-Instruct-COT-RL-Expriement1-EP04/93aa3a13-5069-410f-a1df-6944e0231e0e.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Lyte_Llama-3.2-1B-Instruct-COT-RL-Expriement1-EP04/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-3.2-1B-Instruct-COT-RL-Expriement1-EP04",
+    "id": "Lyte/Llama-3.2-1B-Instruct-COT-RL-Expriement1-EP04",
+    "developer": "Lyte",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 1.236
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5774
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3515
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0801
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2601
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3236
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1843
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Lyte/Llama-3.2-1B-Instruct-COT-RL-Expriement1-EP04/ea928079-f00f-41b1-a628-c1539b41e63d.json b/data/hfopenllm_v2/Lyte/Llama-3.2-1B-Instruct-COT-RL-Expriement1-EP04/ea928079-f00f-41b1-a628-c1539b41e63d.json
deleted file mode 100644
index c80a7bb91..000000000
--- a/data/hfopenllm_v2/Lyte/Llama-3.2-1B-Instruct-COT-RL-Expriement1-EP04/ea928079-f00f-41b1-a628-c1539b41e63d.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Lyte_Llama-3.2-1B-Instruct-COT-RL-Expriement1-EP04/1762652579.7416818",
-  "retrieved_timestamp": "1762652579.741683",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Lyte/Llama-3.2-1B-Instruct-COT-RL-Expriement1-EP04",
-    "developer": "Lyte",
-    "inference_platform": "unknown",
-    "id": "Lyte/Llama-3.2-1B-Instruct-COT-RL-Expriement1-EP04",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 1.236
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5773503193748144
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3515036874279285
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.08006042296072508
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2600671140939597
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.32355208333333335
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.18425864361702127
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Lyte/Llama-3.2-3B-Overthinker/427ea7d0-c1f1-4cfe-b6a7-555262a7a317.json b/data/hfopenllm_v2/Lyte/Llama-3.2-3B-Overthinker/427ea7d0-c1f1-4cfe-b6a7-555262a7a317.json
new file mode 100644
index 000000000..4e1649e92
--- /dev/null
+++ b/data/hfopenllm_v2/Lyte/Llama-3.2-3B-Overthinker/427ea7d0-c1f1-4cfe-b6a7-555262a7a317.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Lyte_Llama-3.2-3B-Overthinker/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-3.2-3B-Overthinker",
+    "id": "Lyte/Llama-3.2-3B-Overthinker",
+    "developer": "Lyte",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 3.213
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6408
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.432
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1563
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2592
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3419
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2985
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/M4-ai/TinyMistral-248M-v3/c6dbe372-7a3c-487c-87c0-fb324c39f8c9.json b/data/hfopenllm_v2/M4-ai/TinyMistral-248M-v3/c6dbe372-7a3c-487c-87c0-fb324c39f8c9.json
new file mode 100644
index 000000000..cbe484e9b
--- /dev/null
+++ b/data/hfopenllm_v2/M4-ai/TinyMistral-248M-v3/c6dbe372-7a3c-487c-87c0-fb324c39f8c9.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/M4-ai_TinyMistral-248M-v3/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "TinyMistral-248M-v3",
+    "id": "M4-ai/TinyMistral-248M-v3",
+    "developer": "M4-ai",
+    "inference_platform": "unknown",
+    "additional_details": {
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+    }
+  },
+  "evaluation_results": [
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
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+      },
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+      }
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+    {
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+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2408
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3793
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+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1132
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/MEscriva/ECE-PRYMMAL-0.5B-FT-V5-MUSR-Mathis/ab59c1cb-ac90-4fe1-b782-2e038734366e.json b/data/hfopenllm_v2/MEscriva/ECE-PRYMMAL-0.5B-FT-V5-MUSR-Mathis/ab59c1cb-ac90-4fe1-b782-2e038734366e.json
deleted file mode 100644
index 83b5f999e..000000000
--- a/data/hfopenllm_v2/MEscriva/ECE-PRYMMAL-0.5B-FT-V5-MUSR-Mathis/ab59c1cb-ac90-4fe1-b782-2e038734366e.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/MEscriva_ECE-PRYMMAL-0.5B-FT-V5-MUSR-Mathis/1762652579.7424488",
-  "retrieved_timestamp": "1762652579.7424488",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "MEscriva/ECE-PRYMMAL-0.5B-FT-V5-MUSR-Mathis",
-    "developer": "MEscriva",
-    "inference_platform": "unknown",
-    "id": "MEscriva/ECE-PRYMMAL-0.5B-FT-V5-MUSR-Mathis",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "?",
-      "params_billions": 0.63
-    }
-  },
-  "evaluation_results": [
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-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "evaluation_name": "BBH",
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-        "lower_is_better": false,
-        "score_type": "continuous",
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-      "metric_config": {
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-        "lower_is_better": false,
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-        "min_score": 0,
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-    },
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-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
-        "score": 0.40171874999999996
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-    },
-    {
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-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/MEscriva/ECE-PRYMMAL-0.5B-FT-V5-MUSR-Mathis/cf8d99c8-8790-4bdf-bfc2-1a6d1fe35916.json b/data/hfopenllm_v2/MEscriva/ECE-PRYMMAL-0.5B-FT-V5-MUSR-Mathis/cf8d99c8-8790-4bdf-bfc2-1a6d1fe35916.json
new file mode 100644
index 000000000..6ab96529f
--- /dev/null
+++ b/data/hfopenllm_v2/MEscriva/ECE-PRYMMAL-0.5B-FT-V5-MUSR-Mathis/cf8d99c8-8790-4bdf-bfc2-1a6d1fe35916.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/MEscriva_ECE-PRYMMAL-0.5B-FT-V5-MUSR-Mathis/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "ECE-PRYMMAL-0.5B-FT-V5-MUSR-Mathis",
+    "id": "MEscriva/ECE-PRYMMAL-0.5B-FT-V5-MUSR-Mathis",
+    "developer": "MEscriva",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "?",
+      "params_billions": 0.63
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0866
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3057
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0106
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2517
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4017
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1154
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/MLP-KTLim/llama-3-Korean-Bllossom-8B/5b5d42d7-8012-46f1-826f-32d839806048.json b/data/hfopenllm_v2/MLP-KTLim/llama-3-Korean-Bllossom-8B/5b5d42d7-8012-46f1-826f-32d839806048.json
new file mode 100644
index 000000000..a8760b3f6
--- /dev/null
+++ b/data/hfopenllm_v2/MLP-KTLim/llama-3-Korean-Bllossom-8B/5b5d42d7-8012-46f1-826f-32d839806048.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/MLP-KTLim_llama-3-Korean-Bllossom-8B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "llama-3-Korean-Bllossom-8B",
+    "id": "MLP-KTLim/llama-3-Korean-Bllossom-8B",
+    "developer": "MLP-KTLim",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5113
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.49
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.102
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2626
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3675
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3594
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/MTSAIR/Cotype-Nano/5e1bf2cb-55c4-4806-89af-cb9953c7c1b1.json b/data/hfopenllm_v2/MTSAIR/Cotype-Nano/5e1bf2cb-55c4-4806-89af-cb9953c7c1b1.json
new file mode 100644
index 000000000..fb6c77edb
--- /dev/null
+++ b/data/hfopenllm_v2/MTSAIR/Cotype-Nano/5e1bf2cb-55c4-4806-89af-cb9953c7c1b1.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/MTSAIR_Cotype-Nano/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Cotype-Nano",
+    "id": "MTSAIR/Cotype-Nano",
+    "developer": "MTSAIR",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 1.544
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3748
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3865
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0974
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2701
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3289
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2477
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/MTSAIR/Cotype-Nano/b5fa19ff-9b05-4d71-9d79-54f8dfe4a8ab.json b/data/hfopenllm_v2/MTSAIR/Cotype-Nano/b5fa19ff-9b05-4d71-9d79-54f8dfe4a8ab.json
deleted file mode 100644
index 9faa439af..000000000
--- a/data/hfopenllm_v2/MTSAIR/Cotype-Nano/b5fa19ff-9b05-4d71-9d79-54f8dfe4a8ab.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/MTSAIR_Cotype-Nano/1762652579.742943",
-  "retrieved_timestamp": "1762652579.742944",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "MTSAIR/Cotype-Nano",
-    "developer": "MTSAIR",
-    "inference_platform": "unknown",
-    "id": "MTSAIR/Cotype-Nano",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 1.544
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3747922179816221
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3864940969601492
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.09743202416918428
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2701342281879195
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3289166666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.24767287234042554
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/MTSAIR/MultiVerse_70B/21ee4b33-9829-4cca-9603-c30fd4a1f7ff.json b/data/hfopenllm_v2/MTSAIR/MultiVerse_70B/21ee4b33-9829-4cca-9603-c30fd4a1f7ff.json
new file mode 100644
index 000000000..4f7b2b0b1
--- /dev/null
+++ b/data/hfopenllm_v2/MTSAIR/MultiVerse_70B/21ee4b33-9829-4cca-9603-c30fd4a1f7ff.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/MTSAIR_MultiVerse_70B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "MultiVerse_70B",
+    "id": "MTSAIR/MultiVerse_70B",
+    "developer": "MTSAIR",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 72.289
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5249
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6183
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1926
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.354
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.474
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.486
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/MTSAIR/MultiVerse_70B/a713dba7-110a-40a0-9d89-d48567d423af.json b/data/hfopenllm_v2/MTSAIR/MultiVerse_70B/a713dba7-110a-40a0-9d89-d48567d423af.json
deleted file mode 100644
index bae61cf4c..000000000
--- a/data/hfopenllm_v2/MTSAIR/MultiVerse_70B/a713dba7-110a-40a0-9d89-d48567d423af.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/MTSAIR_MultiVerse_70B/1762652579.743202",
-  "retrieved_timestamp": "1762652579.7432032",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "MTSAIR/MultiVerse_70B",
-    "developer": "MTSAIR",
-    "inference_platform": "unknown",
-    "id": "MTSAIR/MultiVerse_70B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 72.289
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5249183278146429
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6183134284931178
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.19259818731117825
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3540268456375839
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.47398958333333335
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.48603723404255317
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Magpie-Align/Llama-3-8B-Magpie-Align-SFT-v0.1/c6c14a8b-0e9f-4b97-b9f3-27c7250fb8f2.json b/data/hfopenllm_v2/Magpie-Align/Llama-3-8B-Magpie-Align-SFT-v0.1/c6c14a8b-0e9f-4b97-b9f3-27c7250fb8f2.json
new file mode 100644
index 000000000..115db7b96
--- /dev/null
+++ b/data/hfopenllm_v2/Magpie-Align/Llama-3-8B-Magpie-Align-SFT-v0.1/c6c14a8b-0e9f-4b97-b9f3-27c7250fb8f2.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Magpie-Align_Llama-3-8B-Magpie-Align-SFT-v0.1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-3-8B-Magpie-Align-SFT-v0.1",
+    "id": "Magpie-Align/Llama-3-8B-Magpie-Align-SFT-v0.1",
+    "developer": "Magpie-Align",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4361
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4615
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0574
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2626
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3277
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2863
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Magpie-Align/Llama-3-8B-Magpie-Align-SFT-v0.1/f3024d7f-f25f-4220-973a-b0e19ecb5e1d.json b/data/hfopenllm_v2/Magpie-Align/Llama-3-8B-Magpie-Align-SFT-v0.1/f3024d7f-f25f-4220-973a-b0e19ecb5e1d.json
deleted file mode 100644
index 5fe17199b..000000000
--- a/data/hfopenllm_v2/Magpie-Align/Llama-3-8B-Magpie-Align-SFT-v0.1/f3024d7f-f25f-4220-973a-b0e19ecb5e1d.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Magpie-Align_Llama-3-8B-Magpie-Align-SFT-v0.1/1762652579.743415",
-  "retrieved_timestamp": "1762652579.743416",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Magpie-Align/Llama-3-8B-Magpie-Align-SFT-v0.1",
-    "developer": "Magpie-Align",
-    "inference_platform": "unknown",
-    "id": "Magpie-Align/Llama-3-8B-Magpie-Align-SFT-v0.1",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4361416596851908
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4615102744527366
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.05740181268882175
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2625838926174497
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.32773958333333336
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2863198138297872
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Magpie-Align/Llama-3-8B-Magpie-Align-SFT-v0.3/4756be0b-fd98-467f-a256-73aabba09c97.json b/data/hfopenllm_v2/Magpie-Align/Llama-3-8B-Magpie-Align-SFT-v0.3/4756be0b-fd98-467f-a256-73aabba09c97.json
deleted file mode 100644
index 968c1431f..000000000
--- a/data/hfopenllm_v2/Magpie-Align/Llama-3-8B-Magpie-Align-SFT-v0.3/4756be0b-fd98-467f-a256-73aabba09c97.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Magpie-Align_Llama-3-8B-Magpie-Align-SFT-v0.3/1762652579.743664",
-  "retrieved_timestamp": "1762652579.743665",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Magpie-Align/Llama-3-8B-Magpie-Align-SFT-v0.3",
-    "developer": "Magpie-Align",
-    "inference_platform": "unknown",
-    "id": "Magpie-Align/Llama-3-8B-Magpie-Align-SFT-v0.3",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
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diff --git a/data/hfopenllm_v2/Magpie-Align/Llama-3-8B-Magpie-Align-SFT-v0.3/6586fa94-9f43-4814-8c8a-8ed244ac94e7.json b/data/hfopenllm_v2/Magpie-Align/Llama-3-8B-Magpie-Align-SFT-v0.3/6586fa94-9f43-4814-8c8a-8ed244ac94e7.json
new file mode 100644
index 000000000..20e5b11c3
--- /dev/null
+++ b/data/hfopenllm_v2/Magpie-Align/Llama-3-8B-Magpie-Align-SFT-v0.3/6586fa94-9f43-4814-8c8a-8ed244ac94e7.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Magpie-Align_Llama-3-8B-Magpie-Align-SFT-v0.3/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-3-8B-Magpie-Align-SFT-v0.3",
+    "id": "Magpie-Align/Llama-3-8B-Magpie-Align-SFT-v0.3",
+    "developer": "Magpie-Align",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5064
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4572
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+    },
+    {
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+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2659
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3424
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+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2902
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Magpie-Align/Llama-3-8B-Magpie-Align-v0.1/df7d7db2-867e-47f0-9abf-d71b79e97630.json b/data/hfopenllm_v2/Magpie-Align/Llama-3-8B-Magpie-Align-v0.1/df7d7db2-867e-47f0-9abf-d71b79e97630.json
new file mode 100644
index 000000000..bbdb79de2
--- /dev/null
+++ b/data/hfopenllm_v2/Magpie-Align/Llama-3-8B-Magpie-Align-v0.1/df7d7db2-867e-47f0-9abf-d71b79e97630.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Magpie-Align_Llama-3-8B-Magpie-Align-v0.1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-3-8B-Magpie-Align-v0.1",
+    "id": "Magpie-Align/Llama-3-8B-Magpie-Align-v0.1",
+    "developer": "Magpie-Align",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4118
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4811
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.034
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2752
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3047
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3006
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Magpie-Align/Llama-3-8B-Magpie-Align-v0.1/e2502e7e-3a10-49f3-b5c6-b20496fed998.json b/data/hfopenllm_v2/Magpie-Align/Llama-3-8B-Magpie-Align-v0.1/e2502e7e-3a10-49f3-b5c6-b20496fed998.json
new file mode 100644
index 000000000..5f345d139
--- /dev/null
+++ b/data/hfopenllm_v2/Magpie-Align/Llama-3-8B-Magpie-Align-v0.1/e2502e7e-3a10-49f3-b5c6-b20496fed998.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Magpie-Align_Llama-3-8B-Magpie-Align-v0.1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-3-8B-Magpie-Align-v0.1",
+    "id": "Magpie-Align/Llama-3-8B-Magpie-Align-v0.1",
+    "developer": "Magpie-Align",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4027
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4789
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0461
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2768
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3087
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3001
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Magpie-Align/Llama-3-8B-Magpie-Align-v0.3/51cde18f-09b0-4b66-a962-811ee49e192f.json b/data/hfopenllm_v2/Magpie-Align/Llama-3-8B-Magpie-Align-v0.3/51cde18f-09b0-4b66-a962-811ee49e192f.json
new file mode 100644
index 000000000..f30e78827
--- /dev/null
+++ b/data/hfopenllm_v2/Magpie-Align/Llama-3-8B-Magpie-Align-v0.3/51cde18f-09b0-4b66-a962-811ee49e192f.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Magpie-Align_Llama-3-8B-Magpie-Align-v0.3/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-3-8B-Magpie-Align-v0.3",
+    "id": "Magpie-Align/Llama-3-8B-Magpie-Align-v0.3",
+    "developer": "Magpie-Align",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4497
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.457
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0566
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2651
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3406
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3134
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Magpie-Align/Llama-3.1-8B-Magpie-Align-SFT-v0.1/43d2e788-e186-485d-8c34-10bdfd7a6b65.json b/data/hfopenllm_v2/Magpie-Align/Llama-3.1-8B-Magpie-Align-SFT-v0.1/43d2e788-e186-485d-8c34-10bdfd7a6b65.json
deleted file mode 100644
index 50003cc19..000000000
--- a/data/hfopenllm_v2/Magpie-Align/Llama-3.1-8B-Magpie-Align-SFT-v0.1/43d2e788-e186-485d-8c34-10bdfd7a6b65.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/Magpie-Align_Llama-3.1-8B-Magpie-Align-SFT-v0.1/1762652579.744527",
-  "retrieved_timestamp": "1762652579.744527",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Magpie-Align/Llama-3.1-8B-Magpie-Align-SFT-v0.1",
-    "developer": "Magpie-Align",
-    "inference_platform": "unknown",
-    "id": "Magpie-Align/Llama-3.1-8B-Magpie-Align-SFT-v0.1",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.47820671374176077
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4764157817799906
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.08987915407854985
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2609060402684564
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3397395833333334
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.29429853723404253
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Magpie-Align/Llama-3.1-8B-Magpie-Align-SFT-v0.1/4ea48b42-8026-4799-b35d-46757fd2753f.json b/data/hfopenllm_v2/Magpie-Align/Llama-3.1-8B-Magpie-Align-SFT-v0.1/4ea48b42-8026-4799-b35d-46757fd2753f.json
new file mode 100644
index 000000000..aeb4cabcb
--- /dev/null
+++ b/data/hfopenllm_v2/Magpie-Align/Llama-3.1-8B-Magpie-Align-SFT-v0.1/4ea48b42-8026-4799-b35d-46757fd2753f.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Magpie-Align_Llama-3.1-8B-Magpie-Align-SFT-v0.1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-3.1-8B-Magpie-Align-SFT-v0.1",
+    "id": "Magpie-Align/Llama-3.1-8B-Magpie-Align-SFT-v0.1",
+    "developer": "Magpie-Align",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4782
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4764
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0899
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2609
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3397
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2943
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Magpie-Align/Llama-3.1-8B-Magpie-Align-v0.1/52e9b4ae-9119-4f26-87e4-6532d1148ecd.json b/data/hfopenllm_v2/Magpie-Align/Llama-3.1-8B-Magpie-Align-v0.1/52e9b4ae-9119-4f26-87e4-6532d1148ecd.json
new file mode 100644
index 000000000..a67ee6b2e
--- /dev/null
+++ b/data/hfopenllm_v2/Magpie-Align/Llama-3.1-8B-Magpie-Align-v0.1/52e9b4ae-9119-4f26-87e4-6532d1148ecd.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Magpie-Align_Llama-3.1-8B-Magpie-Align-v0.1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-3.1-8B-Magpie-Align-v0.1",
+    "id": "Magpie-Align/Llama-3.1-8B-Magpie-Align-v0.1",
+    "developer": "Magpie-Align",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4458
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4622
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0665
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2634
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3141
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3262
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Magpie-Align/MagpieLM-8B-Chat-v0.1/4bda68c0-cc09-4945-961b-48776b7b5fc8.json b/data/hfopenllm_v2/Magpie-Align/MagpieLM-8B-Chat-v0.1/4bda68c0-cc09-4945-961b-48776b7b5fc8.json
new file mode 100644
index 000000000..590475654
--- /dev/null
+++ b/data/hfopenllm_v2/Magpie-Align/MagpieLM-8B-Chat-v0.1/4bda68c0-cc09-4945-961b-48776b7b5fc8.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Magpie-Align_MagpieLM-8B-Chat-v0.1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "MagpieLM-8B-Chat-v0.1",
+    "id": "Magpie-Align/MagpieLM-8B-Chat-v0.1",
+    "developer": "Magpie-Align",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3701
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4172
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0612
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2617
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3501
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3195
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Magpie-Align/MagpieLM-8B-Chat-v0.1/b14fcc84-7caf-4aa8-b728-8a1287a5c04a.json b/data/hfopenllm_v2/Magpie-Align/MagpieLM-8B-Chat-v0.1/b14fcc84-7caf-4aa8-b728-8a1287a5c04a.json
deleted file mode 100644
index ac9f526a7..000000000
--- a/data/hfopenllm_v2/Magpie-Align/MagpieLM-8B-Chat-v0.1/b14fcc84-7caf-4aa8-b728-8a1287a5c04a.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Magpie-Align_MagpieLM-8B-Chat-v0.1/1762652579.744951",
-  "retrieved_timestamp": "1762652579.744951",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Magpie-Align/MagpieLM-8B-Chat-v0.1",
-    "developer": "Magpie-Align",
-    "inference_platform": "unknown",
-    "id": "Magpie-Align/MagpieLM-8B-Chat-v0.1",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3700714105240761
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4172338260055306
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.06117824773413897
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.26174496644295303
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3500625
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3194813829787234
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Magpie-Align/MagpieLM-8B-SFT-v0.1/18ea0ad0-a216-4906-a96c-c8b040398dbd.json b/data/hfopenllm_v2/Magpie-Align/MagpieLM-8B-SFT-v0.1/18ea0ad0-a216-4906-a96c-c8b040398dbd.json
new file mode 100644
index 000000000..3ffe20bca
--- /dev/null
+++ b/data/hfopenllm_v2/Magpie-Align/MagpieLM-8B-SFT-v0.1/18ea0ad0-a216-4906-a96c-c8b040398dbd.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Magpie-Align_MagpieLM-8B-SFT-v0.1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "MagpieLM-8B-SFT-v0.1",
+    "id": "Magpie-Align/MagpieLM-8B-SFT-v0.1",
+    "developer": "Magpie-Align",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4721
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4553
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0755
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2676
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3649
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.299
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Magpie-Align/MagpieLM-8B-SFT-v0.1/eb307f58-db7e-44b3-bf03-7264a39bed69.json b/data/hfopenllm_v2/Magpie-Align/MagpieLM-8B-SFT-v0.1/eb307f58-db7e-44b3-bf03-7264a39bed69.json
deleted file mode 100644
index 50d4ad417..000000000
--- a/data/hfopenllm_v2/Magpie-Align/MagpieLM-8B-SFT-v0.1/eb307f58-db7e-44b3-bf03-7264a39bed69.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Magpie-Align_MagpieLM-8B-SFT-v0.1/1762652579.7451751",
-  "retrieved_timestamp": "1762652579.7451751",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Magpie-Align/MagpieLM-8B-SFT-v0.1",
-    "developer": "Magpie-Align",
-    "inference_platform": "unknown",
-    "id": "Magpie-Align/MagpieLM-8B-SFT-v0.1",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4720619068515982
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.45528501595553356
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.0755287009063444
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2676174496644295
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3648854166666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2989527925531915
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/MagusCorp/grpo_lora_enem_llama3_7b/1e2321f6-93bd-4acf-9f5b-c82807a40233.json b/data/hfopenllm_v2/MagusCorp/grpo_lora_enem_llama3_7b/1e2321f6-93bd-4acf-9f5b-c82807a40233.json
new file mode 100644
index 000000000..7178d1d47
--- /dev/null
+++ b/data/hfopenllm_v2/MagusCorp/grpo_lora_enem_llama3_7b/1e2321f6-93bd-4acf-9f5b-c82807a40233.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/MagusCorp_grpo_lora_enem_llama3_7b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "grpo_lora_enem_llama3_7b",
+    "id": "MagusCorp/grpo_lora_enem_llama3_7b",
+    "developer": "MagusCorp",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4724
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4801
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1216
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3096
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3971
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3574
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/ManoloPueblo/ContentCuisine_1-7B-slerp/13032961-52a1-43cf-b69d-1802c43e1bcc.json b/data/hfopenllm_v2/ManoloPueblo/ContentCuisine_1-7B-slerp/13032961-52a1-43cf-b69d-1802c43e1bcc.json
new file mode 100644
index 000000000..6a60d0dd4
--- /dev/null
+++ b/data/hfopenllm_v2/ManoloPueblo/ContentCuisine_1-7B-slerp/13032961-52a1-43cf-b69d-1802c43e1bcc.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/ManoloPueblo_ContentCuisine_1-7B-slerp/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "ContentCuisine_1-7B-slerp",
+    "id": "ManoloPueblo/ContentCuisine_1-7B-slerp",
+    "developer": "ManoloPueblo",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3907
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5188
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0733
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3029
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4672
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3054
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/ManoloPueblo/ContentCuisine_1-7B-slerp/74d2724e-9d5d-4142-9cff-3fd40c931882.json b/data/hfopenllm_v2/ManoloPueblo/ContentCuisine_1-7B-slerp/74d2724e-9d5d-4142-9cff-3fd40c931882.json
deleted file mode 100644
index ab324c120..000000000
--- a/data/hfopenllm_v2/ManoloPueblo/ContentCuisine_1-7B-slerp/74d2724e-9d5d-4142-9cff-3fd40c931882.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/ManoloPueblo_ContentCuisine_1-7B-slerp/1762652579.745631",
-  "retrieved_timestamp": "1762652579.745632",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "ManoloPueblo/ContentCuisine_1-7B-slerp",
-    "developer": "ManoloPueblo",
-    "inference_platform": "unknown",
-    "id": "ManoloPueblo/ContentCuisine_1-7B-slerp",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3907044419916932
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5188437309746964
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.07326283987915408
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3028523489932886
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.46719791666666666
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30535239361702127
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/ManoloPueblo/LLM_MERGE_CC2/9d444061-2c29-499a-8906-77ef58aba34d.json b/data/hfopenllm_v2/ManoloPueblo/LLM_MERGE_CC2/9d444061-2c29-499a-8906-77ef58aba34d.json
new file mode 100644
index 000000000..2ebddc2a3
--- /dev/null
+++ b/data/hfopenllm_v2/ManoloPueblo/LLM_MERGE_CC2/9d444061-2c29-499a-8906-77ef58aba34d.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/ManoloPueblo_LLM_MERGE_CC2/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "LLM_MERGE_CC2",
+    "id": "ManoloPueblo/LLM_MERGE_CC2",
+    "developer": "ManoloPueblo",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3853
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5209
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0642
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3045
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4593
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3032
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/ManoloPueblo/LLM_MERGE_CC2/f7ca7fb6-b02c-4c27-afef-662bb62cd054.json b/data/hfopenllm_v2/ManoloPueblo/LLM_MERGE_CC2/f7ca7fb6-b02c-4c27-afef-662bb62cd054.json
deleted file mode 100644
index 769e9dfc3..000000000
--- a/data/hfopenllm_v2/ManoloPueblo/LLM_MERGE_CC2/f7ca7fb6-b02c-4c27-afef-662bb62cd054.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/ManoloPueblo_LLM_MERGE_CC2/1762652579.745891",
-  "retrieved_timestamp": "1762652579.745892",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "ManoloPueblo/LLM_MERGE_CC2",
-    "developer": "ManoloPueblo",
-    "inference_platform": "unknown",
-    "id": "ManoloPueblo/LLM_MERGE_CC2",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3853087585384557
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5209367401710429
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.06419939577039276
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30453020134228187
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.45929166666666665
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30319148936170215
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/ManoloPueblo/LLM_MERGE_CC3/1c3dfe6a-28e7-4125-a802-1898336b1beb.json b/data/hfopenllm_v2/ManoloPueblo/LLM_MERGE_CC3/1c3dfe6a-28e7-4125-a802-1898336b1beb.json
deleted file mode 100644
index b4d6be0c7..000000000
--- a/data/hfopenllm_v2/ManoloPueblo/LLM_MERGE_CC3/1c3dfe6a-28e7-4125-a802-1898336b1beb.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/ManoloPueblo_LLM_MERGE_CC3/1762652579.7460978",
-  "retrieved_timestamp": "1762652579.746099",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "ManoloPueblo/LLM_MERGE_CC3",
-    "developer": "ManoloPueblo",
-    "inference_platform": "unknown",
-    "id": "ManoloPueblo/LLM_MERGE_CC3",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3958751667797001
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5246290546274339
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.07930513595166164
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30956375838926176
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4671666666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3155751329787234
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/ManoloPueblo/LLM_MERGE_CC3/1ffdf6b0-b3a3-432a-a0e4-69b4d447bb76.json b/data/hfopenllm_v2/ManoloPueblo/LLM_MERGE_CC3/1ffdf6b0-b3a3-432a-a0e4-69b4d447bb76.json
new file mode 100644
index 000000000..7e1671f54
--- /dev/null
+++ b/data/hfopenllm_v2/ManoloPueblo/LLM_MERGE_CC3/1ffdf6b0-b3a3-432a-a0e4-69b4d447bb76.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/ManoloPueblo_LLM_MERGE_CC3/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "LLM_MERGE_CC3",
+    "id": "ManoloPueblo/LLM_MERGE_CC3",
+    "developer": "ManoloPueblo",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3959
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5246
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0793
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3096
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4672
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3156
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/MarinaraSpaghetti/NemoReRemix-12B/8ce733ea-e6e9-4f9b-ab28-f93202507265.json b/data/hfopenllm_v2/MarinaraSpaghetti/NemoReRemix-12B/8ce733ea-e6e9-4f9b-ab28-f93202507265.json
new file mode 100644
index 000000000..805297be2
--- /dev/null
+++ b/data/hfopenllm_v2/MarinaraSpaghetti/NemoReRemix-12B/8ce733ea-e6e9-4f9b-ab28-f93202507265.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/MarinaraSpaghetti_NemoReRemix-12B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "NemoReRemix-12B",
+    "id": "MarinaraSpaghetti/NemoReRemix-12B",
+    "developer": "MarinaraSpaghetti",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 12.248
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3343
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5537
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0906
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.318
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4501
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3598
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/MarinaraSpaghetti/NemoReRemix-12B/ac67a9d9-0f5a-4891-a9e5-2a924fbf4f72.json b/data/hfopenllm_v2/MarinaraSpaghetti/NemoReRemix-12B/ac67a9d9-0f5a-4891-a9e5-2a924fbf4f72.json
deleted file mode 100644
index f3708f4f3..000000000
--- a/data/hfopenllm_v2/MarinaraSpaghetti/NemoReRemix-12B/ac67a9d9-0f5a-4891-a9e5-2a924fbf4f72.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/MarinaraSpaghetti_NemoReRemix-12B/1762652579.7463942",
-  "retrieved_timestamp": "1762652579.746399",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "MarinaraSpaghetti/NemoReRemix-12B",
-    "developer": "MarinaraSpaghetti",
-    "inference_platform": "unknown",
-    "id": "MarinaraSpaghetti/NemoReRemix-12B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 12.248
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
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diff --git a/data/hfopenllm_v2/MarinaraSpaghetti/Nemomix-v4.0-12B/0e88aa91-609c-4d2d-9296-25b06eeb0342.json b/data/hfopenllm_v2/MarinaraSpaghetti/Nemomix-v4.0-12B/0e88aa91-609c-4d2d-9296-25b06eeb0342.json
new file mode 100644
index 000000000..6824fedbe
--- /dev/null
+++ b/data/hfopenllm_v2/MarinaraSpaghetti/Nemomix-v4.0-12B/0e88aa91-609c-4d2d-9296-25b06eeb0342.json
@@ -0,0 +1,132 @@
+{
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+  "evaluation_id": "hfopenllm_v2/MarinaraSpaghetti_Nemomix-v4.0-12B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Nemomix-v4.0-12B",
+    "id": "MarinaraSpaghetti/Nemomix-v4.0-12B",
+    "developer": "MarinaraSpaghetti",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 12.248
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
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+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5575
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+    {
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+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5275
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "max_score": 1.0
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+      "score_details": {
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+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
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+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3613
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/MarinaraSpaghetti/Nemomix-v4.0-12B/aeac3ed0-e93b-4fb2-bdd5-1fd06ccd3338.json b/data/hfopenllm_v2/MarinaraSpaghetti/Nemomix-v4.0-12B/aeac3ed0-e93b-4fb2-bdd5-1fd06ccd3338.json
deleted file mode 100644
index fdb443581..000000000
--- a/data/hfopenllm_v2/MarinaraSpaghetti/Nemomix-v4.0-12B/aeac3ed0-e93b-4fb2-bdd5-1fd06ccd3338.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "source_data": [
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
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-    }
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diff --git a/data/hfopenllm_v2/Marsouuu/MiniMathExpert-2_61B-ECE-PRYMMAL-Martial/2c99d2a7-7a5f-4357-ad92-745d8a718ee3.json b/data/hfopenllm_v2/Marsouuu/MiniMathExpert-2_61B-ECE-PRYMMAL-Martial/2c99d2a7-7a5f-4357-ad92-745d8a718ee3.json
deleted file mode 100644
index aae1413ce..000000000
--- a/data/hfopenllm_v2/Marsouuu/MiniMathExpert-2_61B-ECE-PRYMMAL-Martial/2c99d2a7-7a5f-4357-ad92-745d8a718ee3.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
-    "name": "Marsouuu/MiniMathExpert-2_61B-ECE-PRYMMAL-Martial",
-    "developer": "Marsouuu",
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-    "id": "Marsouuu/MiniMathExpert-2_61B-ECE-PRYMMAL-Martial",
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-    },
-    {
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diff --git a/data/hfopenllm_v2/Marsouuu/MiniMathExpert-2_61B-ECE-PRYMMAL-Martial/3e235ea0-3f04-4d99-9db2-7cafcbdbac6f.json b/data/hfopenllm_v2/Marsouuu/MiniMathExpert-2_61B-ECE-PRYMMAL-Martial/3e235ea0-3f04-4d99-9db2-7cafcbdbac6f.json
new file mode 100644
index 000000000..a4acc5d5f
--- /dev/null
+++ b/data/hfopenllm_v2/Marsouuu/MiniMathExpert-2_61B-ECE-PRYMMAL-Martial/3e235ea0-3f04-4d99-9db2-7cafcbdbac6f.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Marsouuu_MiniMathExpert-2_61B-ECE-PRYMMAL-Martial/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "MiniMathExpert-2_61B-ECE-PRYMMAL-Martial",
+    "id": "Marsouuu/MiniMathExpert-2_61B-ECE-PRYMMAL-Martial",
+    "developer": "Marsouuu",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Gemma2ForCausalLM",
+      "params_billions": 2.614
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2548
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3953
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.074
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2752
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4083
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2274
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Marsouuu/MiniQwenMathExpert-ECE-PRYMMAL-Martial/5e31a55c-f222-4192-b031-27bb40ba56fa.json b/data/hfopenllm_v2/Marsouuu/MiniQwenMathExpert-ECE-PRYMMAL-Martial/5e31a55c-f222-4192-b031-27bb40ba56fa.json
new file mode 100644
index 000000000..fe44d4d77
--- /dev/null
+++ b/data/hfopenllm_v2/Marsouuu/MiniQwenMathExpert-ECE-PRYMMAL-Martial/5e31a55c-f222-4192-b031-27bb40ba56fa.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Marsouuu_MiniQwenMathExpert-ECE-PRYMMAL-Martial/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "MiniQwenMathExpert-ECE-PRYMMAL-Martial",
+    "id": "Marsouuu/MiniQwenMathExpert-ECE-PRYMMAL-Martial",
+    "developer": "Marsouuu",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 1.777
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2795
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.423
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.114
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2819
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3867
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2922
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Marsouuu/MistralBase-4x7B-MoE-ECE-PRYMMAL-Martial/11fd4b70-4ea7-4bee-8caf-8921d4c89f24.json b/data/hfopenllm_v2/Marsouuu/MistralBase-4x7B-MoE-ECE-PRYMMAL-Martial/11fd4b70-4ea7-4bee-8caf-8921d4c89f24.json
new file mode 100644
index 000000000..8cb29fb63
--- /dev/null
+++ b/data/hfopenllm_v2/Marsouuu/MistralBase-4x7B-MoE-ECE-PRYMMAL-Martial/11fd4b70-4ea7-4bee-8caf-8921d4c89f24.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Marsouuu_MistralBase-4x7B-MoE-ECE-PRYMMAL-Martial/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "MistralBase-4x7B-MoE-ECE-PRYMMAL-Martial",
+    "id": "Marsouuu/MistralBase-4x7B-MoE-ECE-PRYMMAL-Martial",
+    "developer": "Marsouuu",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MixtralForCausalLM",
+      "params_billions": 24.16
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1697
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3464
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0144
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2592
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3991
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1379
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Marsouuu/general3B-ECE-PRYMMAL-Martial/6f36320a-dcfd-4e93-87b2-53763dde5c57.json b/data/hfopenllm_v2/Marsouuu/general3B-ECE-PRYMMAL-Martial/6f36320a-dcfd-4e93-87b2-53763dde5c57.json
deleted file mode 100644
index 7a2c76d1e..000000000
--- a/data/hfopenllm_v2/Marsouuu/general3B-ECE-PRYMMAL-Martial/6f36320a-dcfd-4e93-87b2-53763dde5c57.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Marsouuu_general3B-ECE-PRYMMAL-Martial/1762652579.748109",
-  "retrieved_timestamp": "1762652579.74811",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Marsouuu/general3B-ECE-PRYMMAL-Martial",
-    "developer": "Marsouuu",
-    "inference_platform": "unknown",
-    "id": "Marsouuu/general3B-ECE-PRYMMAL-Martial",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Phi3ForCausalLM",
-      "params_billions": 3.821
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.27222658102722996
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5394350977017502
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.15483383685800603
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3196308724832215
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4700520833333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.38763297872340424
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Marsouuu/general3B-ECE-PRYMMAL-Martial/8e721067-898d-45ca-b4f5-9f523c4ce3d3.json b/data/hfopenllm_v2/Marsouuu/general3B-ECE-PRYMMAL-Martial/8e721067-898d-45ca-b4f5-9f523c4ce3d3.json
new file mode 100644
index 000000000..7e5d5f9c9
--- /dev/null
+++ b/data/hfopenllm_v2/Marsouuu/general3B-ECE-PRYMMAL-Martial/8e721067-898d-45ca-b4f5-9f523c4ce3d3.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Marsouuu_general3B-ECE-PRYMMAL-Martial/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "general3B-ECE-PRYMMAL-Martial",
+    "id": "Marsouuu/general3B-ECE-PRYMMAL-Martial",
+    "developer": "Marsouuu",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Phi3ForCausalLM",
+      "params_billions": 3.821
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2722
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5394
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1548
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3196
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4701
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3876
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Marsouuu/general3Bv2-ECE-PRYMMAL-Martial/716552b2-6343-4339-b9f5-a573fa47c384.json b/data/hfopenllm_v2/Marsouuu/general3Bv2-ECE-PRYMMAL-Martial/716552b2-6343-4339-b9f5-a573fa47c384.json
deleted file mode 100644
index e3b7f0413..000000000
--- a/data/hfopenllm_v2/Marsouuu/general3Bv2-ECE-PRYMMAL-Martial/716552b2-6343-4339-b9f5-a573fa47c384.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Marsouuu_general3Bv2-ECE-PRYMMAL-Martial/1762652579.748472",
-  "retrieved_timestamp": "1762652579.7484732",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Marsouuu/general3Bv2-ECE-PRYMMAL-Martial",
-    "developer": "Marsouuu",
-    "inference_platform": "unknown",
-    "id": "Marsouuu/general3Bv2-ECE-PRYMMAL-Martial",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.616
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5692817280371636
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5636569831901026
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.36706948640483383
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3104026845637584
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.43960416666666663
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4498005319148936
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Marsouuu/general3Bv2-ECE-PRYMMAL-Martial/be5d5480-ce4c-4ade-8c6a-c08cd2826909.json b/data/hfopenllm_v2/Marsouuu/general3Bv2-ECE-PRYMMAL-Martial/be5d5480-ce4c-4ade-8c6a-c08cd2826909.json
new file mode 100644
index 000000000..2888af590
--- /dev/null
+++ b/data/hfopenllm_v2/Marsouuu/general3Bv2-ECE-PRYMMAL-Martial/be5d5480-ce4c-4ade-8c6a-c08cd2826909.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Marsouuu_general3Bv2-ECE-PRYMMAL-Martial/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "general3Bv2-ECE-PRYMMAL-Martial",
+    "id": "Marsouuu/general3Bv2-ECE-PRYMMAL-Martial",
+    "developer": "Marsouuu",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5693
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5637
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3671
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3104
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4396
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4498
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Marsouuu/lareneg1_78B-ECE-PRYMMAL-Martial/49532386-7e9b-4719-9c24-5d463dea6cfc.json b/data/hfopenllm_v2/Marsouuu/lareneg1_78B-ECE-PRYMMAL-Martial/49532386-7e9b-4719-9c24-5d463dea6cfc.json
deleted file mode 100644
index be8ba9846..000000000
--- a/data/hfopenllm_v2/Marsouuu/lareneg1_78B-ECE-PRYMMAL-Martial/49532386-7e9b-4719-9c24-5d463dea6cfc.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Marsouuu_lareneg1_78B-ECE-PRYMMAL-Martial/1762652579.7487411",
-  "retrieved_timestamp": "1762652579.7487419",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Marsouuu/lareneg1_78B-ECE-PRYMMAL-Martial",
-    "developer": "Marsouuu",
-    "inference_platform": "unknown",
-    "id": "Marsouuu/lareneg1_78B-ECE-PRYMMAL-Martial",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 1.777
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2794961812435449
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42301343044108936
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11404833836858005
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.28187919463087246
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.38673958333333336
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2922207446808511
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Marsouuu/lareneg1_78B-ECE-PRYMMAL-Martial/54dec074-29f8-4863-be37-2c08f6f2c3cb.json b/data/hfopenllm_v2/Marsouuu/lareneg1_78B-ECE-PRYMMAL-Martial/54dec074-29f8-4863-be37-2c08f6f2c3cb.json
new file mode 100644
index 000000000..21ecaf0b1
--- /dev/null
+++ b/data/hfopenllm_v2/Marsouuu/lareneg1_78B-ECE-PRYMMAL-Martial/54dec074-29f8-4863-be37-2c08f6f2c3cb.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Marsouuu_lareneg1_78B-ECE-PRYMMAL-Martial/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "lareneg1_78B-ECE-PRYMMAL-Martial",
+    "id": "Marsouuu/lareneg1_78B-ECE-PRYMMAL-Martial",
+    "developer": "Marsouuu",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 1.777
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2795
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.423
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.114
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2819
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3867
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2922
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Marsouuu/lareneg3B-ECE-PRYMMAL-Martial/88a15025-556b-469d-be77-c773f2c61038.json b/data/hfopenllm_v2/Marsouuu/lareneg3B-ECE-PRYMMAL-Martial/88a15025-556b-469d-be77-c773f2c61038.json
new file mode 100644
index 000000000..f634cf074
--- /dev/null
+++ b/data/hfopenllm_v2/Marsouuu/lareneg3B-ECE-PRYMMAL-Martial/88a15025-556b-469d-be77-c773f2c61038.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Marsouuu_lareneg3B-ECE-PRYMMAL-Martial/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "lareneg3B-ECE-PRYMMAL-Martial",
+    "id": "Marsouuu/lareneg3B-ECE-PRYMMAL-Martial",
+    "developer": "Marsouuu",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Phi3ForCausalLM",
+      "params_billions": 3.821
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3303
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5453
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1518
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3247
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4725
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3767
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Marsouuu/lareneg3B-ECE-PRYMMAL-Martial/8d0e995d-2859-461b-8be7-60d2b2690d6b.json b/data/hfopenllm_v2/Marsouuu/lareneg3B-ECE-PRYMMAL-Martial/8d0e995d-2859-461b-8be7-60d2b2690d6b.json
deleted file mode 100644
index a57785213..000000000
--- a/data/hfopenllm_v2/Marsouuu/lareneg3B-ECE-PRYMMAL-Martial/8d0e995d-2859-461b-8be7-60d2b2690d6b.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Marsouuu_lareneg3B-ECE-PRYMMAL-Martial/1762652579.748992",
-  "retrieved_timestamp": "1762652579.748993",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Marsouuu/lareneg3B-ECE-PRYMMAL-Martial",
-    "developer": "Marsouuu",
-    "inference_platform": "unknown",
-    "id": "Marsouuu/lareneg3B-ECE-PRYMMAL-Martial",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Phi3ForCausalLM",
-      "params_billions": 3.821
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.33032908239028
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5453325807578268
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.15181268882175228
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.32466442953020136
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.47246875
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37666223404255317
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Marsouuu/lareneg3Bv2-ECE-PRYMMAL-Martial/09b5771f-9ee2-4f4f-9fa9-e0280c33b00f.json b/data/hfopenllm_v2/Marsouuu/lareneg3Bv2-ECE-PRYMMAL-Martial/09b5771f-9ee2-4f4f-9fa9-e0280c33b00f.json
deleted file mode 100644
index 82bf49a49..000000000
--- a/data/hfopenllm_v2/Marsouuu/lareneg3Bv2-ECE-PRYMMAL-Martial/09b5771f-9ee2-4f4f-9fa9-e0280c33b00f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Marsouuu_lareneg3Bv2-ECE-PRYMMAL-Martial/1762652579.749232",
-  "retrieved_timestamp": "1762652579.749232",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Marsouuu/lareneg3Bv2-ECE-PRYMMAL-Martial",
-    "developer": "Marsouuu",
-    "inference_platform": "unknown",
-    "id": "Marsouuu/lareneg3Bv2-ECE-PRYMMAL-Martial",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.616
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5753267995585047
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.562336014537904
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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diff --git a/data/hfopenllm_v2/Marsouuu/lareneg3Bv2-ECE-PRYMMAL-Martial/b4f4596b-17e5-40bf-ae60-0b17492ba9f8.json b/data/hfopenllm_v2/Marsouuu/lareneg3Bv2-ECE-PRYMMAL-Martial/b4f4596b-17e5-40bf-ae60-0b17492ba9f8.json
new file mode 100644
index 000000000..829e669c7
--- /dev/null
+++ b/data/hfopenllm_v2/Marsouuu/lareneg3Bv2-ECE-PRYMMAL-Martial/b4f4596b-17e5-40bf-ae60-0b17492ba9f8.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Marsouuu_lareneg3Bv2-ECE-PRYMMAL-Martial/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "lareneg3Bv2-ECE-PRYMMAL-Martial",
+    "id": "Marsouuu/lareneg3Bv2-ECE-PRYMMAL-Martial",
+    "developer": "Marsouuu",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5753
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5623
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3656
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3196
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4369
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4511
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/MaziyarPanahi/Calme-4x7B-MoE-v0.1/97ce858e-a64f-4881-b6d0-0a2c0814336d.json b/data/hfopenllm_v2/MaziyarPanahi/Calme-4x7B-MoE-v0.1/97ce858e-a64f-4881-b6d0-0a2c0814336d.json
new file mode 100644
index 000000000..e5c5e6482
--- /dev/null
+++ b/data/hfopenllm_v2/MaziyarPanahi/Calme-4x7B-MoE-v0.1/97ce858e-a64f-4881-b6d0-0a2c0814336d.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/MaziyarPanahi_Calme-4x7B-MoE-v0.1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Calme-4x7B-MoE-v0.1",
+    "id": "MaziyarPanahi/Calme-4x7B-MoE-v0.1",
+    "developer": "MaziyarPanahi",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MixtralForCausalLM",
+      "params_billions": 24.154
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4315
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5103
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0801
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2819
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4199
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3057
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/MaziyarPanahi/Calme-4x7B-MoE-v0.1/f4512664-c531-4b13-b76e-e96c2b03febf.json b/data/hfopenllm_v2/MaziyarPanahi/Calme-4x7B-MoE-v0.1/f4512664-c531-4b13-b76e-e96c2b03febf.json
deleted file mode 100644
index 66233acba..000000000
--- a/data/hfopenllm_v2/MaziyarPanahi/Calme-4x7B-MoE-v0.1/f4512664-c531-4b13-b76e-e96c2b03febf.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/MaziyarPanahi_Calme-4x7B-MoE-v0.1/1762652579.7495291",
-  "retrieved_timestamp": "1762652579.74953",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "MaziyarPanahi/Calme-4x7B-MoE-v0.1",
-    "developer": "MaziyarPanahi",
-    "inference_platform": "unknown",
-    "id": "MaziyarPanahi/Calme-4x7B-MoE-v0.1",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MixtralForCausalLM",
-      "params_billions": 24.154
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4315205875964663
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5102819889174134
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.08006042296072508
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.28187919463087246
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4198854166666666
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3056848404255319
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/MaziyarPanahi/Calme-4x7B-MoE-v0.2/1becd83e-e9b8-49c1-a137-80c5a8dbdf0d.json b/data/hfopenllm_v2/MaziyarPanahi/Calme-4x7B-MoE-v0.2/1becd83e-e9b8-49c1-a137-80c5a8dbdf0d.json
new file mode 100644
index 000000000..d772d36c9
--- /dev/null
+++ b/data/hfopenllm_v2/MaziyarPanahi/Calme-4x7B-MoE-v0.2/1becd83e-e9b8-49c1-a137-80c5a8dbdf0d.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/MaziyarPanahi_Calme-4x7B-MoE-v0.2/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Calme-4x7B-MoE-v0.2",
+    "id": "MaziyarPanahi/Calme-4x7B-MoE-v0.2",
+    "developer": "MaziyarPanahi",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MixtralForCausalLM",
+      "params_billions": 24.154
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4294
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5111
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.074
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2794
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4318
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3058
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/MaziyarPanahi/Calme-4x7B-MoE-v0.2/ca2df1c9-79b2-453b-9cd1-b607e48f5dd7.json b/data/hfopenllm_v2/MaziyarPanahi/Calme-4x7B-MoE-v0.2/ca2df1c9-79b2-453b-9cd1-b607e48f5dd7.json
deleted file mode 100644
index 9dfb10278..000000000
--- a/data/hfopenllm_v2/MaziyarPanahi/Calme-4x7B-MoE-v0.2/ca2df1c9-79b2-453b-9cd1-b607e48f5dd7.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/MaziyarPanahi_Calme-4x7B-MoE-v0.2/1762652579.7498329",
-  "retrieved_timestamp": "1762652579.749834",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "MaziyarPanahi/Calme-4x7B-MoE-v0.2",
-    "developer": "MaziyarPanahi",
-    "inference_platform": "unknown",
-    "id": "MaziyarPanahi/Calme-4x7B-MoE-v0.2",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MixtralForCausalLM",
-      "params_billions": 24.154
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.429447200095746
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5110766802558263
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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diff --git a/data/hfopenllm_v2/MaziyarPanahi/Llama-3-70B-Instruct-v0.1/1e2759fa-3e87-447b-b0ca-5a4e2e293589.json b/data/hfopenllm_v2/MaziyarPanahi/Llama-3-70B-Instruct-v0.1/1e2759fa-3e87-447b-b0ca-5a4e2e293589.json
deleted file mode 100644
index 1372a47ec..000000000
--- a/data/hfopenllm_v2/MaziyarPanahi/Llama-3-70B-Instruct-v0.1/1e2759fa-3e87-447b-b0ca-5a4e2e293589.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "source_data": [
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
-    "name": "MaziyarPanahi/Llama-3-70B-Instruct-v0.1",
-    "developer": "MaziyarPanahi",
-    "inference_platform": "unknown",
-    "id": "MaziyarPanahi/Llama-3-70B-Instruct-v0.1",
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-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-}
diff --git a/data/hfopenllm_v2/MaziyarPanahi/Llama-3-70B-Instruct-v0.1/337bb321-9c6e-4751-9c9b-d8ba0120dd07.json b/data/hfopenllm_v2/MaziyarPanahi/Llama-3-70B-Instruct-v0.1/337bb321-9c6e-4751-9c9b-d8ba0120dd07.json
new file mode 100644
index 000000000..b12b4dd7c
--- /dev/null
+++ b/data/hfopenllm_v2/MaziyarPanahi/Llama-3-70B-Instruct-v0.1/337bb321-9c6e-4751-9c9b-d8ba0120dd07.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/MaziyarPanahi_Llama-3-70B-Instruct-v0.1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-3-70B-Instruct-v0.1",
+    "id": "MaziyarPanahi/Llama-3-70B-Instruct-v0.1",
+    "developer": "MaziyarPanahi",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 70.554
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4714
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5366
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1805
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2844
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4433
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4618
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/MaziyarPanahi/Llama-3-8B-Instruct-v0.10/19143059-07d5-44b2-b599-193147f6196a.json b/data/hfopenllm_v2/MaziyarPanahi/Llama-3-8B-Instruct-v0.10/19143059-07d5-44b2-b599-193147f6196a.json
deleted file mode 100644
index 18594390a..000000000
--- a/data/hfopenllm_v2/MaziyarPanahi/Llama-3-8B-Instruct-v0.10/19143059-07d5-44b2-b599-193147f6196a.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "source_data": [
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-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
-    "name": "MaziyarPanahi/Llama-3-8B-Instruct-v0.10",
-    "developer": "MaziyarPanahi",
-    "inference_platform": "unknown",
-    "id": "MaziyarPanahi/Llama-3-8B-Instruct-v0.10",
-    "additional_details": {
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-      "architecture": "LlamaForCausalLM",
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-        "score_type": "continuous",
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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diff --git a/data/hfopenllm_v2/MaziyarPanahi/Llama-3-8B-Instruct-v0.10/cfa95cc9-5bb1-4921-97c7-078f2f929a2f.json b/data/hfopenllm_v2/MaziyarPanahi/Llama-3-8B-Instruct-v0.10/cfa95cc9-5bb1-4921-97c7-078f2f929a2f.json
new file mode 100644
index 000000000..2084bb4eb
--- /dev/null
+++ b/data/hfopenllm_v2/MaziyarPanahi/Llama-3-8B-Instruct-v0.10/cfa95cc9-5bb1-4921-97c7-078f2f929a2f.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/MaziyarPanahi_Llama-3-8B-Instruct-v0.10/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-3-8B-Instruct-v0.10",
+    "id": "MaziyarPanahi/Llama-3-8B-Instruct-v0.10",
+    "developer": "MaziyarPanahi",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7667
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4924
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0574
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3087
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4214
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3862
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/MaziyarPanahi/Llama-3-8B-Instruct-v0.8/6d5ba3c4-a0c2-40cd-9766-68d36d21c5b6.json b/data/hfopenllm_v2/MaziyarPanahi/Llama-3-8B-Instruct-v0.8/6d5ba3c4-a0c2-40cd-9766-68d36d21c5b6.json
new file mode 100644
index 000000000..9ec03b55c
--- /dev/null
+++ b/data/hfopenllm_v2/MaziyarPanahi/Llama-3-8B-Instruct-v0.8/6d5ba3c4-a0c2-40cd-9766-68d36d21c5b6.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/MaziyarPanahi_Llama-3-8B-Instruct-v0.8/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-3-8B-Instruct-v0.8",
+    "id": "MaziyarPanahi/Llama-3-8B-Instruct-v0.8",
+    "developer": "MaziyarPanahi",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7528
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4963
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0778
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3054
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4202
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3853
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/MaziyarPanahi/Llama-3-8B-Instruct-v0.8/c68859dd-6db0-4bdc-a031-92ac7d1d2585.json b/data/hfopenllm_v2/MaziyarPanahi/Llama-3-8B-Instruct-v0.8/c68859dd-6db0-4bdc-a031-92ac7d1d2585.json
deleted file mode 100644
index 2ec4f91db..000000000
--- a/data/hfopenllm_v2/MaziyarPanahi/Llama-3-8B-Instruct-v0.8/c68859dd-6db0-4bdc-a031-92ac7d1d2585.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/MaziyarPanahi_Llama-3-8B-Instruct-v0.8/1762652579.750486",
-  "retrieved_timestamp": "1762652579.750487",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "MaziyarPanahi/Llama-3-8B-Instruct-v0.8",
-    "developer": "MaziyarPanahi",
-    "inference_platform": "unknown",
-    "id": "MaziyarPanahi/Llama-3-8B-Instruct-v0.8",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7527549125209998
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.49627836815949883
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.07779456193353475
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3053691275167785
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42019791666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3853058510638298
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/MaziyarPanahi/Llama-3-8B-Instruct-v0.9/1fb0056b-4f66-404b-89ac-a58185747ce2.json b/data/hfopenllm_v2/MaziyarPanahi/Llama-3-8B-Instruct-v0.9/1fb0056b-4f66-404b-89ac-a58185747ce2.json
deleted file mode 100644
index 62f8534a7..000000000
--- a/data/hfopenllm_v2/MaziyarPanahi/Llama-3-8B-Instruct-v0.9/1fb0056b-4f66-404b-89ac-a58185747ce2.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/MaziyarPanahi_Llama-3-8B-Instruct-v0.9/1762652579.750697",
-  "retrieved_timestamp": "1762652579.750697",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "MaziyarPanahi/Llama-3-8B-Instruct-v0.9",
-    "developer": "MaziyarPanahi",
-    "inference_platform": "unknown",
-    "id": "MaziyarPanahi/Llama-3-8B-Instruct-v0.9",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.763046494412603
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4936132794870085
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.07326283987915408
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30788590604026844
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4148020833333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3845578457446808
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/MaziyarPanahi/Llama-3-8B-Instruct-v0.9/6cc4404a-f3e1-47b9-b56b-34e4269e1261.json b/data/hfopenllm_v2/MaziyarPanahi/Llama-3-8B-Instruct-v0.9/6cc4404a-f3e1-47b9-b56b-34e4269e1261.json
new file mode 100644
index 000000000..9730bfb53
--- /dev/null
+++ b/data/hfopenllm_v2/MaziyarPanahi/Llama-3-8B-Instruct-v0.9/6cc4404a-f3e1-47b9-b56b-34e4269e1261.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/MaziyarPanahi_Llama-3-8B-Instruct-v0.9/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-3-8B-Instruct-v0.9",
+    "id": "MaziyarPanahi/Llama-3-8B-Instruct-v0.9",
+    "developer": "MaziyarPanahi",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.763
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4936
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0733
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3079
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4148
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3846
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/MaziyarPanahi/Qwen1.5-MoE-A2.7B-Wikihow/8d820e43-ff42-4247-9ad0-4ed8e70672b4.json b/data/hfopenllm_v2/MaziyarPanahi/Qwen1.5-MoE-A2.7B-Wikihow/8d820e43-ff42-4247-9ad0-4ed8e70672b4.json
new file mode 100644
index 000000000..25b553bee
--- /dev/null
+++ b/data/hfopenllm_v2/MaziyarPanahi/Qwen1.5-MoE-A2.7B-Wikihow/8d820e43-ff42-4247-9ad0-4ed8e70672b4.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/MaziyarPanahi_Qwen1.5-MoE-A2.7B-Wikihow/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen1.5-MoE-A2.7B-Wikihow",
+    "id": "MaziyarPanahi/Qwen1.5-MoE-A2.7B-Wikihow",
+    "developer": "MaziyarPanahi",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2MoeForCausalLM",
+      "params_billions": 14.316
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2954
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.392
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0823
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2752
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3502
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.238
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/MaziyarPanahi/Qwen2-7B-Instruct-v0.1/ce4ee4fe-8a38-467b-b189-b25311c23c4e.json b/data/hfopenllm_v2/MaziyarPanahi/Qwen2-7B-Instruct-v0.1/ce4ee4fe-8a38-467b-b189-b25311c23c4e.json
deleted file mode 100644
index b73549c5b..000000000
--- a/data/hfopenllm_v2/MaziyarPanahi/Qwen2-7B-Instruct-v0.1/ce4ee4fe-8a38-467b-b189-b25311c23c4e.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/MaziyarPanahi_Qwen2-7B-Instruct-v0.1/1762652579.7511811",
-  "retrieved_timestamp": "1762652579.751182",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "MaziyarPanahi/Qwen2-7B-Instruct-v0.1",
-    "developer": "MaziyarPanahi",
-    "inference_platform": "unknown",
-    "id": "MaziyarPanahi/Qwen2-7B-Instruct-v0.1",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.616
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.33522498082864577
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5123061019250074
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2212990936555891
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.28523489932885904
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.44347916666666665
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
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new file mode 100644
index 000000000..1ec344d87
--- /dev/null
+++ b/data/hfopenllm_v2/MaziyarPanahi/Qwen2-7B-Instruct-v0.1/d858ce8e-6a4b-46b1-8d51-03ebc2d8aaec.json
@@ -0,0 +1,132 @@
+{
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/MaziyarPanahi/Qwen2-7B-Instruct-v0.8/9813dd88-ff70-4d9e-86c5-9b73444275c5.json b/data/hfopenllm_v2/MaziyarPanahi/Qwen2-7B-Instruct-v0.8/9813dd88-ff70-4d9e-86c5-9b73444275c5.json
new file mode 100644
index 000000000..1b9f32279
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@@ -0,0 +1,132 @@
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/MaziyarPanahi/Qwen2-7B-Instruct-v0.8/a65af628-f518-4da7-afc5-7cba4234415b.json b/data/hfopenllm_v2/MaziyarPanahi/Qwen2-7B-Instruct-v0.8/a65af628-f518-4da7-afc5-7cba4234415b.json
deleted file mode 100644
index d385c0e08..000000000
--- a/data/hfopenllm_v2/MaziyarPanahi/Qwen2-7B-Instruct-v0.8/a65af628-f518-4da7-afc5-7cba4234415b.json
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diff --git a/data/hfopenllm_v2/MaziyarPanahi/calme-2.1-llama3.1-70b/ac677432-e7d1-4439-9c05-426059c285ef.json b/data/hfopenllm_v2/MaziyarPanahi/calme-2.1-llama3.1-70b/ac677432-e7d1-4439-9c05-426059c285ef.json
new file mode 100644
index 000000000..3872599b8
--- /dev/null
+++ b/data/hfopenllm_v2/MaziyarPanahi/calme-2.1-llama3.1-70b/ac677432-e7d1-4439-9c05-426059c285ef.json
@@ -0,0 +1,132 @@
+{
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+    "source_type": "documentation",
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/MaziyarPanahi/calme-2.1-phi3-4b/018f270f-3cfe-403c-a236-483038a0b04e.json b/data/hfopenllm_v2/MaziyarPanahi/calme-2.1-phi3-4b/018f270f-3cfe-403c-a236-483038a0b04e.json
new file mode 100644
index 000000000..d1bb5a3bb
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+++ b/data/hfopenllm_v2/MaziyarPanahi/calme-2.1-phi3-4b/018f270f-3cfe-403c-a236-483038a0b04e.json
@@ -0,0 +1,132 @@
+{
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+  "source_metadata": {
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+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/MaziyarPanahi/calme-2.1-phi3.5-4b/718a40ea-26b1-4cf4-9584-57be798640ae.json b/data/hfopenllm_v2/MaziyarPanahi/calme-2.1-phi3.5-4b/718a40ea-26b1-4cf4-9584-57be798640ae.json
new file mode 100644
index 000000000..6ca32abe5
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+++ b/data/hfopenllm_v2/MaziyarPanahi/calme-2.1-phi3.5-4b/718a40ea-26b1-4cf4-9584-57be798640ae.json
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/MaziyarPanahi/calme-2.1-qwen2-72b/207a28a9-ae24-4a31-be95-96296b2e466d.json b/data/hfopenllm_v2/MaziyarPanahi/calme-2.1-qwen2-72b/207a28a9-ae24-4a31-be95-96296b2e466d.json
new file mode 100644
index 000000000..847508496
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+++ b/data/hfopenllm_v2/MaziyarPanahi/calme-2.1-qwen2-72b/207a28a9-ae24-4a31-be95-96296b2e466d.json
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/MaziyarPanahi/calme-2.1-qwen2-7b/72efedb8-d456-41ed-b1ae-4887cb6c18f8.json b/data/hfopenllm_v2/MaziyarPanahi/calme-2.1-qwen2-7b/72efedb8-d456-41ed-b1ae-4887cb6c18f8.json
new file mode 100644
index 000000000..e64c522fa
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@@ -0,0 +1,132 @@
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/MaziyarPanahi/calme-2.1-qwen2.5-72b/ac91fb37-5742-4a3d-b93a-86c63b90cad5.json b/data/hfopenllm_v2/MaziyarPanahi/calme-2.1-qwen2.5-72b/ac91fb37-5742-4a3d-b93a-86c63b90cad5.json
new file mode 100644
index 000000000..d23d575cb
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@@ -0,0 +1,132 @@
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/MaziyarPanahi/calme-2.1-rys-78b/387000a4-7ef5-46c6-9b5e-9bfe7c2cfc18.json b/data/hfopenllm_v2/MaziyarPanahi/calme-2.1-rys-78b/387000a4-7ef5-46c6-9b5e-9bfe7c2cfc18.json
deleted file mode 100644
index 879908f72..000000000
--- a/data/hfopenllm_v2/MaziyarPanahi/calme-2.1-rys-78b/387000a4-7ef5-46c6-9b5e-9bfe7c2cfc18.json
+++ /dev/null
@@ -1,105 +0,0 @@
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new file mode 100644
index 000000000..d2b0fca22
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+++ b/data/hfopenllm_v2/MaziyarPanahi/calme-2.1-rys-78b/c71d025d-e954-4420-b397-e07c3644d1f4.json
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new file mode 100644
index 000000000..6a8c1b645
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diff --git a/data/hfopenllm_v2/MaziyarPanahi/calme-2.2-llama3.1-70b/5e23b2f7-33f7-4e49-b73a-a02b8650ee0d.json b/data/hfopenllm_v2/MaziyarPanahi/calme-2.2-llama3.1-70b/5e23b2f7-33f7-4e49-b73a-a02b8650ee0d.json
new file mode 100644
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diff --git a/data/hfopenllm_v2/MaziyarPanahi/calme-2.2-phi3-4b/1b6c64f6-acf8-4cff-bcae-6e8b3725c6f1.json b/data/hfopenllm_v2/MaziyarPanahi/calme-2.2-phi3-4b/1b6c64f6-acf8-4cff-bcae-6e8b3725c6f1.json
new file mode 100644
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diff --git a/data/hfopenllm_v2/MaziyarPanahi/calme-2.2-qwen2-72b/7908f572-8886-4add-ae84-b4ec0ec17c26.json b/data/hfopenllm_v2/MaziyarPanahi/calme-2.2-qwen2-72b/7908f572-8886-4add-ae84-b4ec0ec17c26.json
new file mode 100644
index 000000000..ac04e14a8
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/MaziyarPanahi/calme-2.2-qwen2-7b/9e04ec5c-2208-4569-9b63-4768ed4262b9.json b/data/hfopenllm_v2/MaziyarPanahi/calme-2.2-qwen2-7b/9e04ec5c-2208-4569-9b63-4768ed4262b9.json
new file mode 100644
index 000000000..1a6f153fa
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+++ b/data/hfopenllm_v2/MaziyarPanahi/calme-2.2-qwen2-7b/9e04ec5c-2208-4569-9b63-4768ed4262b9.json
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/MaziyarPanahi/calme-2.2-qwen2.5-72b/ee2c8beb-6566-4b19-91d0-8e48c12a3fdf.json b/data/hfopenllm_v2/MaziyarPanahi/calme-2.2-qwen2.5-72b/ee2c8beb-6566-4b19-91d0-8e48c12a3fdf.json
new file mode 100644
index 000000000..6b2655c95
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/MaziyarPanahi/calme-2.2-rys-78b/c7579616-0c21-443a-a149-0c51a0ae92ac.json b/data/hfopenllm_v2/MaziyarPanahi/calme-2.2-rys-78b/c7579616-0c21-443a-a149-0c51a0ae92ac.json
new file mode 100644
index 000000000..554ca11d3
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/MaziyarPanahi/calme-2.2-rys-78b/cfaafe4c-50a1-4cde-b092-fdbaeea86fb3.json b/data/hfopenllm_v2/MaziyarPanahi/calme-2.2-rys-78b/cfaafe4c-50a1-4cde-b092-fdbaeea86fb3.json
deleted file mode 100644
index eccf14cde..000000000
--- a/data/hfopenllm_v2/MaziyarPanahi/calme-2.2-rys-78b/cfaafe4c-50a1-4cde-b092-fdbaeea86fb3.json
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diff --git a/data/hfopenllm_v2/MaziyarPanahi/calme-2.3-llama3-70b/ef7a1429-db2f-433b-a606-339a9d868e7a.json b/data/hfopenllm_v2/MaziyarPanahi/calme-2.3-llama3-70b/ef7a1429-db2f-433b-a606-339a9d868e7a.json
new file mode 100644
index 000000000..84b0cfd4e
--- /dev/null
+++ b/data/hfopenllm_v2/MaziyarPanahi/calme-2.3-llama3-70b/ef7a1429-db2f-433b-a606-339a9d868e7a.json
@@ -0,0 +1,132 @@
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diff --git a/data/hfopenllm_v2/MaziyarPanahi/calme-2.3-llama3.1-70b/f531e13c-79ed-45da-a246-857fd2c884c1.json b/data/hfopenllm_v2/MaziyarPanahi/calme-2.3-llama3.1-70b/f531e13c-79ed-45da-a246-857fd2c884c1.json
new file mode 100644
index 000000000..9e97146e6
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diff --git a/data/hfopenllm_v2/MaziyarPanahi/calme-2.3-phi3-4b/0f525d93-663a-442c-9a51-1ad3a5054172.json b/data/hfopenllm_v2/MaziyarPanahi/calme-2.3-phi3-4b/0f525d93-663a-442c-9a51-1ad3a5054172.json
new file mode 100644
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diff --git a/data/hfopenllm_v2/MaziyarPanahi/calme-2.3-qwen2-72b/15af21e1-3193-47fa-a3fc-1f087216d4d9.json b/data/hfopenllm_v2/MaziyarPanahi/calme-2.3-qwen2-72b/15af21e1-3193-47fa-a3fc-1f087216d4d9.json
new file mode 100644
index 000000000..f937b7720
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/MaziyarPanahi/calme-2.3-qwen2-7b/67b270d9-3422-4770-9957-7bde65acca0a.json b/data/hfopenllm_v2/MaziyarPanahi/calme-2.3-qwen2-7b/67b270d9-3422-4770-9957-7bde65acca0a.json
new file mode 100644
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/MaziyarPanahi/calme-2.3-rys-78b/33a06134-e58d-4bc7-8421-c5ae2f0dcd1f.json b/data/hfopenllm_v2/MaziyarPanahi/calme-2.3-rys-78b/33a06134-e58d-4bc7-8421-c5ae2f0dcd1f.json
deleted file mode 100644
index 3524efa0f..000000000
--- a/data/hfopenllm_v2/MaziyarPanahi/calme-2.3-rys-78b/33a06134-e58d-4bc7-8421-c5ae2f0dcd1f.json
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new file mode 100644
index 000000000..90960df8c
--- /dev/null
+++ b/data/hfopenllm_v2/MaziyarPanahi/calme-2.3-rys-78b/e2d38bcc-9133-4051-82d0-4e4fd66e00f8.json
@@ -0,0 +1,132 @@
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/MaziyarPanahi/calme-2.4-llama3-70b/4ff256af-73c7-4a5a-96da-19546a786c59.json b/data/hfopenllm_v2/MaziyarPanahi/calme-2.4-llama3-70b/4ff256af-73c7-4a5a-96da-19546a786c59.json
new file mode 100644
index 000000000..5cac03e59
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+++ b/data/hfopenllm_v2/MaziyarPanahi/calme-2.4-llama3-70b/4ff256af-73c7-4a5a-96da-19546a786c59.json
@@ -0,0 +1,132 @@
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/MaziyarPanahi/calme-2.4-qwen2-7b/225cbeef-1d0d-40fc-949d-4ba6696fb690.json b/data/hfopenllm_v2/MaziyarPanahi/calme-2.4-qwen2-7b/225cbeef-1d0d-40fc-949d-4ba6696fb690.json
new file mode 100644
index 000000000..b84becf6e
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+++ b/data/hfopenllm_v2/MaziyarPanahi/calme-2.4-qwen2-7b/225cbeef-1d0d-40fc-949d-4ba6696fb690.json
@@ -0,0 +1,132 @@
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/MaziyarPanahi/calme-2.4-rys-78b/24fcd662-5abb-4bf8-b8df-1c21b048cd92.json b/data/hfopenllm_v2/MaziyarPanahi/calme-2.4-rys-78b/24fcd662-5abb-4bf8-b8df-1c21b048cd92.json
new file mode 100644
index 000000000..6535c029d
--- /dev/null
+++ b/data/hfopenllm_v2/MaziyarPanahi/calme-2.4-rys-78b/24fcd662-5abb-4bf8-b8df-1c21b048cd92.json
@@ -0,0 +1,132 @@
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/MaziyarPanahi/calme-2.4-rys-78b/48433dc8-40ff-4e36-8c6a-ced33bc22e4f.json b/data/hfopenllm_v2/MaziyarPanahi/calme-2.4-rys-78b/48433dc8-40ff-4e36-8c6a-ced33bc22e4f.json
deleted file mode 100644
index bb5d28d32..000000000
--- a/data/hfopenllm_v2/MaziyarPanahi/calme-2.4-rys-78b/48433dc8-40ff-4e36-8c6a-ced33bc22e4f.json
+++ /dev/null
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new file mode 100644
index 000000000..76077262d
--- /dev/null
+++ b/data/hfopenllm_v2/MaziyarPanahi/calme-2.5-qwen2-7b/7badcb45-7826-4fd1-b964-c697fbda76cc.json
@@ -0,0 +1,132 @@
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/MaziyarPanahi/calme-2.6-qwen2-7b/bfb532f1-3319-46ff-80ae-0ca783a18bb6.json b/data/hfopenllm_v2/MaziyarPanahi/calme-2.6-qwen2-7b/bfb532f1-3319-46ff-80ae-0ca783a18bb6.json
new file mode 100644
index 000000000..901ba7227
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/MaziyarPanahi/calme-2.7-qwen2-7b/ea304515-b41f-4e96-a0ec-78c897ebf9a4.json b/data/hfopenllm_v2/MaziyarPanahi/calme-2.7-qwen2-7b/ea304515-b41f-4e96-a0ec-78c897ebf9a4.json
new file mode 100644
index 000000000..4bb85f9fc
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+++ b/data/hfopenllm_v2/MaziyarPanahi/calme-2.7-qwen2-7b/ea304515-b41f-4e96-a0ec-78c897ebf9a4.json
@@ -0,0 +1,132 @@
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/MaziyarPanahi/calme-3.1-baguette-3b/1fe79ea5-1922-4a5e-8857-1c832353b0a6.json b/data/hfopenllm_v2/MaziyarPanahi/calme-3.1-baguette-3b/1fe79ea5-1922-4a5e-8857-1c832353b0a6.json
new file mode 100644
index 000000000..1217267f3
--- /dev/null
+++ b/data/hfopenllm_v2/MaziyarPanahi/calme-3.1-baguette-3b/1fe79ea5-1922-4a5e-8857-1c832353b0a6.json
@@ -0,0 +1,132 @@
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+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.256
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2861
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4008
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3399
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/MaziyarPanahi/calme-3.1-baguette-3b/8f0a6518-d153-43ec-b426-02136a2bc367.json b/data/hfopenllm_v2/MaziyarPanahi/calme-3.1-baguette-3b/8f0a6518-d153-43ec-b426-02136a2bc367.json
deleted file mode 100644
index 9d7270193..000000000
--- a/data/hfopenllm_v2/MaziyarPanahi/calme-3.1-baguette-3b/8f0a6518-d153-43ec-b426-02136a2bc367.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/MaziyarPanahi_calme-3.1-baguette-3b/1762652579.7580318",
-  "retrieved_timestamp": "1762652579.7580328",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "MaziyarPanahi/calme-3.1-baguette-3b",
-    "developer": "MaziyarPanahi",
-    "inference_platform": "unknown",
-    "id": "MaziyarPanahi/calme-3.1-baguette-3b",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 3.085
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6234369251364158
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.46833341042911075
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.25604229607250756
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2860738255033557
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.40079166666666666
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.33992686170212766
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/MaziyarPanahi/calme-3.1-instruct-3b/67915bce-0b54-4996-90f6-cec6def9bbba.json b/data/hfopenllm_v2/MaziyarPanahi/calme-3.1-instruct-3b/67915bce-0b54-4996-90f6-cec6def9bbba.json
deleted file mode 100644
index 3f78ec62d..000000000
--- a/data/hfopenllm_v2/MaziyarPanahi/calme-3.1-instruct-3b/67915bce-0b54-4996-90f6-cec6def9bbba.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/MaziyarPanahi_calme-3.1-instruct-3b/1762652579.758249",
-  "retrieved_timestamp": "1762652579.75825",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "MaziyarPanahi/calme-3.1-instruct-3b",
-    "developer": "MaziyarPanahi",
-    "inference_platform": "unknown",
-    "id": "MaziyarPanahi/calme-3.1-instruct-3b",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 3.085
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.43359397509718656
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4812730148043098
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.17749244712990936
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2860738255033557
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.39520833333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.355718085106383
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/MaziyarPanahi/calme-3.1-instruct-3b/9098d70f-cbcd-4f6c-bcba-0b1da743396e.json b/data/hfopenllm_v2/MaziyarPanahi/calme-3.1-instruct-3b/9098d70f-cbcd-4f6c-bcba-0b1da743396e.json
new file mode 100644
index 000000000..dfeeb7050
--- /dev/null
+++ b/data/hfopenllm_v2/MaziyarPanahi/calme-3.1-instruct-3b/9098d70f-cbcd-4f6c-bcba-0b1da743396e.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/MaziyarPanahi_calme-3.1-instruct-3b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "calme-3.1-instruct-3b",
+    "id": "MaziyarPanahi/calme-3.1-instruct-3b",
+    "developer": "MaziyarPanahi",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 3.085
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4336
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4813
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1775
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2861
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3952
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3557
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/MaziyarPanahi/calme-3.1-instruct-78b/898e5e91-c4c0-4494-baad-37c2bfd1931b.json b/data/hfopenllm_v2/MaziyarPanahi/calme-3.1-instruct-78b/898e5e91-c4c0-4494-baad-37c2bfd1931b.json
deleted file mode 100644
index cbdf264f9..000000000
--- a/data/hfopenllm_v2/MaziyarPanahi/calme-3.1-instruct-78b/898e5e91-c4c0-4494-baad-37c2bfd1931b.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/MaziyarPanahi_calme-3.1-instruct-78b/1762652579.7584739",
-  "retrieved_timestamp": "1762652579.758475",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "MaziyarPanahi/calme-3.1-instruct-78b",
-    "developer": "MaziyarPanahi",
-    "inference_platform": "unknown",
-    "id": "MaziyarPanahi/calme-3.1-instruct-78b",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 77.965
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.8135547015252862
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7305154498840408
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.39274924471299094
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3959731543624161
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5890624999999999
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.718500664893617
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/MaziyarPanahi/calme-3.1-instruct-78b/df4ed9e0-30bc-4a3f-b7a2-8955cbb38d31.json b/data/hfopenllm_v2/MaziyarPanahi/calme-3.1-instruct-78b/df4ed9e0-30bc-4a3f-b7a2-8955cbb38d31.json
new file mode 100644
index 000000000..8dfc528f4
--- /dev/null
+++ b/data/hfopenllm_v2/MaziyarPanahi/calme-3.1-instruct-78b/df4ed9e0-30bc-4a3f-b7a2-8955cbb38d31.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/MaziyarPanahi_calme-3.1-instruct-78b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "calme-3.1-instruct-78b",
+    "id": "MaziyarPanahi/calme-3.1-instruct-78b",
+    "developer": "MaziyarPanahi",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 77.965
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.8136
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7305
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3927
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.396
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5891
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+        "score": 0.7185
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/MaziyarPanahi/calme-3.1-llamaloi-3b/f68957d5-20a1-438f-9931-6a787aaed467.json b/data/hfopenllm_v2/MaziyarPanahi/calme-3.1-llamaloi-3b/f68957d5-20a1-438f-9931-6a787aaed467.json
new file mode 100644
index 000000000..d3b477ce7
--- /dev/null
+++ b/data/hfopenllm_v2/MaziyarPanahi/calme-3.1-llamaloi-3b/f68957d5-20a1-438f-9931-6a787aaed467.json
@@ -0,0 +1,132 @@
+{
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+  "evaluation_id": "hfopenllm_v2/MaziyarPanahi_calme-3.1-llamaloi-3b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "calme-3.1-llamaloi-3b",
+    "id": "MaziyarPanahi/calme-3.1-llamaloi-3b",
+    "developer": "MaziyarPanahi",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 3.213
+    }
+  },
+  "evaluation_results": [
+    {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
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+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7375
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4587
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3515
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3205
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/MaziyarPanahi/calme-3.2-baguette-3b/416e0c04-9119-4230-ba71-b0f47e2d4997.json b/data/hfopenllm_v2/MaziyarPanahi/calme-3.2-baguette-3b/416e0c04-9119-4230-ba71-b0f47e2d4997.json
new file mode 100644
index 000000000..339284c10
--- /dev/null
+++ b/data/hfopenllm_v2/MaziyarPanahi/calme-3.2-baguette-3b/416e0c04-9119-4230-ba71-b0f47e2d4997.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/MaziyarPanahi_calme-3.2-baguette-3b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "calme-3.2-baguette-3b",
+    "id": "MaziyarPanahi/calme-3.2-baguette-3b",
+    "developer": "MaziyarPanahi",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 3.085
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6338
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4709
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+      },
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+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4021
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3338
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/MaziyarPanahi/calme-3.2-baguette-3b/e49441f3-99a5-4cdb-bff1-79cc21711bab.json b/data/hfopenllm_v2/MaziyarPanahi/calme-3.2-baguette-3b/e49441f3-99a5-4cdb-bff1-79cc21711bab.json
deleted file mode 100644
index 88c61a675..000000000
--- a/data/hfopenllm_v2/MaziyarPanahi/calme-3.2-baguette-3b/e49441f3-99a5-4cdb-bff1-79cc21711bab.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/MaziyarPanahi_calme-3.2-baguette-3b/1762652579.75889",
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-  "source_data": [
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
-    "name": "MaziyarPanahi/calme-3.2-baguette-3b",
-    "developer": "MaziyarPanahi",
-    "inference_platform": "unknown",
-    "id": "MaziyarPanahi/calme-3.2-baguette-3b",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 3.085
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-      "evaluation_name": "IFEval",
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-        "lower_is_better": false,
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-      },
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-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-}
diff --git a/data/hfopenllm_v2/MaziyarPanahi/calme-3.2-instruct-3b/83e46bac-5266-4f65-a4dd-76240b297adc.json b/data/hfopenllm_v2/MaziyarPanahi/calme-3.2-instruct-3b/83e46bac-5266-4f65-a4dd-76240b297adc.json
deleted file mode 100644
index f2f8b281d..000000000
--- a/data/hfopenllm_v2/MaziyarPanahi/calme-3.2-instruct-3b/83e46bac-5266-4f65-a4dd-76240b297adc.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
-    "name": "MaziyarPanahi/calme-3.2-instruct-3b",
-    "developer": "MaziyarPanahi",
-    "inference_platform": "unknown",
-    "id": "MaziyarPanahi/calme-3.2-instruct-3b",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
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-    {
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-        "score_type": "continuous",
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-      "score_details": {
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-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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diff --git a/data/hfopenllm_v2/MaziyarPanahi/calme-3.2-instruct-3b/d57780e2-154e-437d-ac2f-0007e1f9140e.json b/data/hfopenllm_v2/MaziyarPanahi/calme-3.2-instruct-3b/d57780e2-154e-437d-ac2f-0007e1f9140e.json
new file mode 100644
index 000000000..b0efacce9
--- /dev/null
+++ b/data/hfopenllm_v2/MaziyarPanahi/calme-3.2-instruct-3b/d57780e2-154e-437d-ac2f-0007e1f9140e.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/MaziyarPanahi_calme-3.2-instruct-3b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "calme-3.2-instruct-3b",
+    "id": "MaziyarPanahi/calme-3.2-instruct-3b",
+    "developer": "MaziyarPanahi",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 3.086
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+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
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+        "score": 0.5533
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+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
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+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
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+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
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+        "score": 0.2168
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+    {
+      "evaluation_name": "GPQA",
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+        "hf_repo": "Idavidrein/gpqa"
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+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
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+        "min_score": 0.0,
+        "max_score": 1.0
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+      "score_details": {
+        "score": 0.2836
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+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4047
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3653
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/MaziyarPanahi/calme-3.2-instruct-78b/027d464b-1375-4de7-aa57-e1473d16ba89.json b/data/hfopenllm_v2/MaziyarPanahi/calme-3.2-instruct-78b/027d464b-1375-4de7-aa57-e1473d16ba89.json
new file mode 100644
index 000000000..41995ee2f
--- /dev/null
+++ b/data/hfopenllm_v2/MaziyarPanahi/calme-3.2-instruct-78b/027d464b-1375-4de7-aa57-e1473d16ba89.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/MaziyarPanahi_calme-3.2-instruct-78b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "calme-3.2-instruct-78b",
+    "id": "MaziyarPanahi/calme-3.2-instruct-78b",
+    "developer": "MaziyarPanahi",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 77.965
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.8063
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7319
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4033
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4027
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6024
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7303
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/MaziyarPanahi/calme-3.2-instruct-78b/77cc280c-b794-4a9a-addc-e2eb0a1af896.json b/data/hfopenllm_v2/MaziyarPanahi/calme-3.2-instruct-78b/77cc280c-b794-4a9a-addc-e2eb0a1af896.json
deleted file mode 100644
index 4c51c0869..000000000
--- a/data/hfopenllm_v2/MaziyarPanahi/calme-3.2-instruct-78b/77cc280c-b794-4a9a-addc-e2eb0a1af896.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/MaziyarPanahi_calme-3.2-instruct-78b/1762652579.759298",
-  "retrieved_timestamp": "1762652579.759299",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "MaziyarPanahi/calme-3.2-instruct-78b",
-    "developer": "MaziyarPanahi",
-    "inference_platform": "unknown",
-    "id": "MaziyarPanahi/calme-3.2-instruct-78b",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 77.965
-    }
-  },
-  "evaluation_results": [
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-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
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-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    {
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-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/MaziyarPanahi/calme-3.3-baguette-3b/22cbbb6d-1014-42af-96cf-1636fcb40679.json b/data/hfopenllm_v2/MaziyarPanahi/calme-3.3-baguette-3b/22cbbb6d-1014-42af-96cf-1636fcb40679.json
deleted file mode 100644
index 6f1f9de48..000000000
--- a/data/hfopenllm_v2/MaziyarPanahi/calme-3.3-baguette-3b/22cbbb6d-1014-42af-96cf-1636fcb40679.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/MaziyarPanahi_calme-3.3-baguette-3b/1762652579.759511",
-  "retrieved_timestamp": "1762652579.759511",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "MaziyarPanahi/calme-3.3-baguette-3b",
-    "developer": "MaziyarPanahi",
-    "inference_platform": "unknown",
-    "id": "MaziyarPanahi/calme-3.3-baguette-3b",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 3.086
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
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-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6359514975819713
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
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-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2802013422818792
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.39282291666666663
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3341921542553192
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/MaziyarPanahi/calme-3.3-baguette-3b/a81f20fa-57e8-498c-a162-6d8a9be09ee6.json b/data/hfopenllm_v2/MaziyarPanahi/calme-3.3-baguette-3b/a81f20fa-57e8-498c-a162-6d8a9be09ee6.json
new file mode 100644
index 000000000..3d87a48e4
--- /dev/null
+++ b/data/hfopenllm_v2/MaziyarPanahi/calme-3.3-baguette-3b/a81f20fa-57e8-498c-a162-6d8a9be09ee6.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/MaziyarPanahi_calme-3.3-baguette-3b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "calme-3.3-baguette-3b",
+    "id": "MaziyarPanahi/calme-3.3-baguette-3b",
+    "developer": "MaziyarPanahi",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 3.086
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.636
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4678
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3807
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2802
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3928
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3342
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/MaziyarPanahi/calme-3.3-instruct-3b/8aa85bd2-eab2-491b-95a3-ac6321cbe298.json b/data/hfopenllm_v2/MaziyarPanahi/calme-3.3-instruct-3b/8aa85bd2-eab2-491b-95a3-ac6321cbe298.json
deleted file mode 100644
index ba276805e..000000000
--- a/data/hfopenllm_v2/MaziyarPanahi/calme-3.3-instruct-3b/8aa85bd2-eab2-491b-95a3-ac6321cbe298.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/MaziyarPanahi_calme-3.3-instruct-3b/1762652579.759784",
-  "retrieved_timestamp": "1762652579.759785",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
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-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
-    "name": "MaziyarPanahi/calme-3.3-instruct-3b",
-    "developer": "MaziyarPanahi",
-    "inference_platform": "unknown",
-    "id": "MaziyarPanahi/calme-3.3-instruct-3b",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 3.086
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-  "evaluation_results": [
-    {
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-      "metric_config": {
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
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-    {
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-        "score_type": "continuous",
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-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.46933409427688694
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-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
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-        "score_type": "continuous",
-        "min_score": 0,
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-    {
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-      "metric_config": {
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-        "score_type": "continuous",
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-      },
-      "score_details": {
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-    {
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-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
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-        "score_type": "continuous",
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-      "score_details": {
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-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.33053523936170215
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diff --git a/data/hfopenllm_v2/MaziyarPanahi/calme-3.3-instruct-3b/d72ddbff-8ff7-446f-a74a-10a46bce6e3e.json b/data/hfopenllm_v2/MaziyarPanahi/calme-3.3-instruct-3b/d72ddbff-8ff7-446f-a74a-10a46bce6e3e.json
new file mode 100644
index 000000000..49ca1c4b5
--- /dev/null
+++ b/data/hfopenllm_v2/MaziyarPanahi/calme-3.3-instruct-3b/d72ddbff-8ff7-446f-a74a-10a46bce6e3e.json
@@ -0,0 +1,132 @@
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Minami-su/Amara-o1-7B-Qwen/f681d612-f574-4641-b34e-95b6de97f9e8.json b/data/hfopenllm_v2/Minami-su/Amara-o1-7B-Qwen/f681d612-f574-4641-b34e-95b6de97f9e8.json
new file mode 100644
index 000000000..ad3d67280
--- /dev/null
+++ b/data/hfopenllm_v2/Minami-su/Amara-o1-7B-Qwen/f681d612-f574-4641-b34e-95b6de97f9e8.json
@@ -0,0 +1,132 @@
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Minami-su/Amara-o2-7B-Qwen/cae1adaf-e424-4dcd-943b-5bbb708aca57.json b/data/hfopenllm_v2/Minami-su/Amara-o2-7B-Qwen/cae1adaf-e424-4dcd-943b-5bbb708aca57.json
new file mode 100644
index 000000000..d8fef8df3
--- /dev/null
+++ b/data/hfopenllm_v2/Minami-su/Amara-o2-7B-Qwen/cae1adaf-e424-4dcd-943b-5bbb708aca57.json
@@ -0,0 +1,132 @@
+{
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+  "source_metadata": {
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+    "source_type": "documentation",
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+    "developer": "Minami-su",
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+    }
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Minami-su/test-7B-00/969ac825-92f2-448c-899a-226e69dee377.json b/data/hfopenllm_v2/Minami-su/test-7B-00/969ac825-92f2-448c-899a-226e69dee377.json
new file mode 100644
index 000000000..813aba2e0
--- /dev/null
+++ b/data/hfopenllm_v2/Minami-su/test-7B-00/969ac825-92f2-448c-899a-226e69dee377.json
@@ -0,0 +1,132 @@
+{
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+  "source_metadata": {
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+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
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+    "id": "Minami-su/test-7B-00",
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+    }
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+        "max_score": 1.0
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+      "score_details": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
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+    {
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+        "evaluation_description": "Accuracy on MMLU-PRO",
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Minami-su/test-7B-00/ba9ead4a-3d47-4a51-bc39-dbf72d7ff3af.json b/data/hfopenllm_v2/Minami-su/test-7B-00/ba9ead4a-3d47-4a51-bc39-dbf72d7ff3af.json
deleted file mode 100644
index 6ea4f9716..000000000
--- a/data/hfopenllm_v2/Minami-su/test-7B-00/ba9ead4a-3d47-4a51-bc39-dbf72d7ff3af.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-    "developer": "Minami-su",
-    "inference_platform": "unknown",
-    "id": "Minami-su/test-7B-00",
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-        "score_type": "continuous",
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-        "score_type": "continuous",
-        "min_score": 0,
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-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
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-        "min_score": 0,
-        "max_score": 1
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-  ]
-}
diff --git a/data/hfopenllm_v2/Minami-su/test-7B-01/2918f03e-3fd5-4183-be8d-2911e0204e8d.json b/data/hfopenllm_v2/Minami-su/test-7B-01/2918f03e-3fd5-4183-be8d-2911e0204e8d.json
deleted file mode 100644
index 09f0a29df..000000000
--- a/data/hfopenllm_v2/Minami-su/test-7B-01/2918f03e-3fd5-4183-be8d-2911e0204e8d.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Minami-su_test-7B-01/1762652579.761029",
-  "retrieved_timestamp": "1762652579.76103",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Minami-su/test-7B-01",
-    "developer": "Minami-su",
-    "inference_platform": "unknown",
-    "id": "Minami-su/test-7B-01",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.616
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6736204382150472
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4422359420239754
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4554380664652568
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3070469798657718
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41530208333333335
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.35355718085106386
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Minami-su/test-7B-01/e108ad28-c155-4162-852c-0f588a136bdc.json b/data/hfopenllm_v2/Minami-su/test-7B-01/e108ad28-c155-4162-852c-0f588a136bdc.json
new file mode 100644
index 000000000..878626d0b
--- /dev/null
+++ b/data/hfopenllm_v2/Minami-su/test-7B-01/e108ad28-c155-4162-852c-0f588a136bdc.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Minami-su_test-7B-01/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "test-7B-01",
+    "id": "Minami-su/test-7B-01",
+    "developer": "Minami-su",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6736
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4422
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4554
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.307
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4153
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3536
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Minami-su/test-v2-7B-00/93cfeba9-7d31-45b4-a6e2-99a5f318f5b3.json b/data/hfopenllm_v2/Minami-su/test-v2-7B-00/93cfeba9-7d31-45b4-a6e2-99a5f318f5b3.json
new file mode 100644
index 000000000..0b0afc074
--- /dev/null
+++ b/data/hfopenllm_v2/Minami-su/test-v2-7B-00/93cfeba9-7d31-45b4-a6e2-99a5f318f5b3.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Minami-su_test-v2-7B-00/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "test-v2-7B-00",
+    "id": "Minami-su/test-v2-7B-00",
+    "developer": "Minami-su",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6747
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4416
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4418
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2919
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4154
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3472
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Minami-su/test-v2-7B-00/95abd2ea-1fb7-4ef8-b186-bfe67148e486.json b/data/hfopenllm_v2/Minami-su/test-v2-7B-00/95abd2ea-1fb7-4ef8-b186-bfe67148e486.json
deleted file mode 100644
index 6b19254ea..000000000
--- a/data/hfopenllm_v2/Minami-su/test-v2-7B-00/95abd2ea-1fb7-4ef8-b186-bfe67148e486.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Minami-su_test-v2-7B-00/1762652579.76127",
-  "retrieved_timestamp": "1762652579.761271",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Minami-su/test-v2-7B-00",
-    "developer": "Minami-su",
-    "inference_platform": "unknown",
-    "id": "Minami-su/test-v2-7B-00",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.616
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6747197436136119
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4415989344595353
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4418429003021148
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.29194630872483224
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41542708333333334
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3472406914893617
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/ModelCloud/Llama-3.2-1B-Instruct-gptqmodel-4bit-vortex-v1/4a68c55f-ac3d-4173-a1cc-8bb97a2b8466.json b/data/hfopenllm_v2/ModelCloud/Llama-3.2-1B-Instruct-gptqmodel-4bit-vortex-v1/4a68c55f-ac3d-4173-a1cc-8bb97a2b8466.json
deleted file mode 100644
index b854ec2fa..000000000
--- a/data/hfopenllm_v2/ModelCloud/Llama-3.2-1B-Instruct-gptqmodel-4bit-vortex-v1/4a68c55f-ac3d-4173-a1cc-8bb97a2b8466.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/ModelCloud_Llama-3.2-1B-Instruct-gptqmodel-4bit-vortex-v1/1762652579.761516",
-  "retrieved_timestamp": "1762652579.761517",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "ModelCloud/Llama-3.2-1B-Instruct-gptqmodel-4bit-vortex-v1",
-    "developer": "ModelCloud",
-    "inference_platform": "unknown",
-    "id": "ModelCloud/Llama-3.2-1B-Instruct-gptqmodel-4bit-vortex-v1",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 5.453
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5268919799465418
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3252726665015006
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.06042296072507553
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2533557046979866
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3249166666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.17644614361702127
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/ModelCloud/Llama-3.2-1B-Instruct-gptqmodel-4bit-vortex-v1/c1b16b84-9392-48f3-b483-0a9786925506.json b/data/hfopenllm_v2/ModelCloud/Llama-3.2-1B-Instruct-gptqmodel-4bit-vortex-v1/c1b16b84-9392-48f3-b483-0a9786925506.json
new file mode 100644
index 000000000..0a18b9f48
--- /dev/null
+++ b/data/hfopenllm_v2/ModelCloud/Llama-3.2-1B-Instruct-gptqmodel-4bit-vortex-v1/c1b16b84-9392-48f3-b483-0a9786925506.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/ModelCloud_Llama-3.2-1B-Instruct-gptqmodel-4bit-vortex-v1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-3.2-1B-Instruct-gptqmodel-4bit-vortex-v1",
+    "id": "ModelCloud/Llama-3.2-1B-Instruct-gptqmodel-4bit-vortex-v1",
+    "developer": "ModelCloud",
+    "inference_platform": "unknown",
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+        "max_score": 1.0
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+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
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+        "hf_repo": "TIGER-Lab/MMLU-Pro"
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/ModelSpace/GemmaX2-28-9B-v0.1/b0c6e08d-b426-49d5-8a66-ee3d70131b62.json b/data/hfopenllm_v2/ModelSpace/GemmaX2-28-9B-v0.1/b0c6e08d-b426-49d5-8a66-ee3d70131b62.json
new file mode 100644
index 000000000..3ce7f3cf6
--- /dev/null
+++ b/data/hfopenllm_v2/ModelSpace/GemmaX2-28-9B-v0.1/b0c6e08d-b426-49d5-8a66-ee3d70131b62.json
@@ -0,0 +1,132 @@
+{
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+  "source_metadata": {
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+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
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+    "id": "ModelSpace/GemmaX2-28-9B-v0.1",
+    "developer": "ModelSpace",
+    "inference_platform": "unknown",
+    "additional_details": {
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+      "architecture": "Gemma2ForCausalLM",
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+    }
+  },
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+    {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
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+        "evaluation_description": "Accuracy on BBH",
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+        "score_type": "continuous",
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+        "max_score": 1.0
+      },
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
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+        "evaluation_description": "Exact Match on MATH Level 5",
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+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+      "score_details": {
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+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+      },
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+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/MoonRide/Llama-3.2-3B-Khelavaster/6a6651a3-b34e-404d-ac25-42c151fb9ba3.json b/data/hfopenllm_v2/MoonRide/Llama-3.2-3B-Khelavaster/6a6651a3-b34e-404d-ac25-42c151fb9ba3.json
new file mode 100644
index 000000000..7575cd4c1
--- /dev/null
+++ b/data/hfopenllm_v2/MoonRide/Llama-3.2-3B-Khelavaster/6a6651a3-b34e-404d-ac25-42c151fb9ba3.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/MoonRide_Llama-3.2-3B-Khelavaster/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-3.2-3B-Khelavaster",
+    "id": "MoonRide/Llama-3.2-3B-Khelavaster",
+    "developer": "MoonRide",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 3.607
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+    },
+    {
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+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "max_score": 1.0
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+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Mostafa8Mehrabi/llama-3.2-1b-Insomnia-ChatBot-merged/940d1360-047b-4c12-a7e5-cd002675c69c.json b/data/hfopenllm_v2/Mostafa8Mehrabi/llama-3.2-1b-Insomnia-ChatBot-merged/940d1360-047b-4c12-a7e5-cd002675c69c.json
deleted file mode 100644
index a8e0aa760..000000000
--- a/data/hfopenllm_v2/Mostafa8Mehrabi/llama-3.2-1b-Insomnia-ChatBot-merged/940d1360-047b-4c12-a7e5-cd002675c69c.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/Mostafa8Mehrabi_llama-3.2-1b-Insomnia-ChatBot-merged/1762652579.7624152",
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-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Mostafa8Mehrabi/llama-3.2-1b-Insomnia-ChatBot-merged",
-    "developer": "Mostafa8Mehrabi",
-    "inference_platform": "unknown",
-    "id": "Mostafa8Mehrabi/llama-3.2-1b-Insomnia-ChatBot-merged",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 1.236
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "BBH",
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
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-        "lower_is_better": false,
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.23657718120805368
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.33815625
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11311502659574468
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Mostafa8Mehrabi/llama-3.2-1b-Insomnia-ChatBot-merged/da63b789-5571-4ed8-976e-146d385b18e2.json b/data/hfopenllm_v2/Mostafa8Mehrabi/llama-3.2-1b-Insomnia-ChatBot-merged/da63b789-5571-4ed8-976e-146d385b18e2.json
new file mode 100644
index 000000000..47726cb82
--- /dev/null
+++ b/data/hfopenllm_v2/Mostafa8Mehrabi/llama-3.2-1b-Insomnia-ChatBot-merged/da63b789-5571-4ed8-976e-146d385b18e2.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Mostafa8Mehrabi_llama-3.2-1b-Insomnia-ChatBot-merged/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "llama-3.2-1b-Insomnia-ChatBot-merged",
+    "id": "Mostafa8Mehrabi/llama-3.2-1b-Insomnia-ChatBot-merged",
+    "developer": "Mostafa8Mehrabi",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 1.236
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1321
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3004
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0076
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2366
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3382
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1131
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/MrRobotoAI/MrRoboto-ProLong-8b-v4i/7c100a09-f34e-4bd7-b201-3779ee5a769d.json b/data/hfopenllm_v2/MrRobotoAI/MrRoboto-ProLong-8b-v4i/7c100a09-f34e-4bd7-b201-3779ee5a769d.json
deleted file mode 100644
index 7d9e5d5f8..000000000
--- a/data/hfopenllm_v2/MrRobotoAI/MrRoboto-ProLong-8b-v4i/7c100a09-f34e-4bd7-b201-3779ee5a769d.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/MrRobotoAI_MrRoboto-ProLong-8b-v4i/1762652579.762677",
-  "retrieved_timestamp": "1762652579.762678",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "MrRobotoAI/MrRoboto-ProLong-8b-v4i",
-    "developer": "MrRobotoAI",
-    "inference_platform": "unknown",
-    "id": "MrRobotoAI/MrRoboto-ProLong-8b-v4i",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 4.015
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3834603297029659
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.458548650453507
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.05513595166163142
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.28942953020134227
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.401375
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3068484042553192
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/MrRobotoAI/MrRoboto-ProLong-8b-v4i/87b900e7-3bab-4e60-b0ef-349667cb2656.json b/data/hfopenllm_v2/MrRobotoAI/MrRoboto-ProLong-8b-v4i/87b900e7-3bab-4e60-b0ef-349667cb2656.json
new file mode 100644
index 000000000..87434c005
--- /dev/null
+++ b/data/hfopenllm_v2/MrRobotoAI/MrRoboto-ProLong-8b-v4i/87b900e7-3bab-4e60-b0ef-349667cb2656.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/MrRobotoAI_MrRoboto-ProLong-8b-v4i/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "MrRoboto-ProLong-8b-v4i",
+    "id": "MrRobotoAI/MrRoboto-ProLong-8b-v4i",
+    "developer": "MrRobotoAI",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 4.015
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3835
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4585
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0551
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2894
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4014
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3068
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/MrRobotoAI/MrRoboto-ProLongBASE-pt8-unaligned-8b/4c54b609-0af6-4116-b62f-1c8a4d68f06b.json b/data/hfopenllm_v2/MrRobotoAI/MrRoboto-ProLongBASE-pt8-unaligned-8b/4c54b609-0af6-4116-b62f-1c8a4d68f06b.json
deleted file mode 100644
index 35b7888cb..000000000
--- a/data/hfopenllm_v2/MrRobotoAI/MrRoboto-ProLongBASE-pt8-unaligned-8b/4c54b609-0af6-4116-b62f-1c8a4d68f06b.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/MrRobotoAI_MrRoboto-ProLongBASE-pt8-unaligned-8b/1762652579.762937",
-  "retrieved_timestamp": "1762652579.762937",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "MrRobotoAI/MrRoboto-ProLongBASE-pt8-unaligned-8b",
-    "developer": "MrRobotoAI",
-    "inference_platform": "unknown",
-    "id": "MrRobotoAI/MrRoboto-ProLongBASE-pt8-unaligned-8b",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 4.015
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.34754008253655855
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4515254903058233
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.04229607250755287
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.28104026845637586
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42788541666666663
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2565658244680851
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/MrRobotoAI/MrRoboto-ProLongBASE-pt8-unaligned-8b/c9fd4740-4990-4174-b782-9b63c34d6407.json b/data/hfopenllm_v2/MrRobotoAI/MrRoboto-ProLongBASE-pt8-unaligned-8b/c9fd4740-4990-4174-b782-9b63c34d6407.json
new file mode 100644
index 000000000..91f97c6f4
--- /dev/null
+++ b/data/hfopenllm_v2/MrRobotoAI/MrRoboto-ProLongBASE-pt8-unaligned-8b/c9fd4740-4990-4174-b782-9b63c34d6407.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/MrRobotoAI_MrRoboto-ProLongBASE-pt8-unaligned-8b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "MrRoboto-ProLongBASE-pt8-unaligned-8b",
+    "id": "MrRobotoAI/MrRoboto-ProLongBASE-pt8-unaligned-8b",
+    "developer": "MrRobotoAI",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 4.015
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3475
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4515
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0423
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.281
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4279
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2566
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/MultivexAI/Gladiator-Mini-Exp-1211-3B/2582a049-e940-408b-b2d9-7a7bdf470e49.json b/data/hfopenllm_v2/MultivexAI/Gladiator-Mini-Exp-1211-3B/2582a049-e940-408b-b2d9-7a7bdf470e49.json
new file mode 100644
index 000000000..5001bc314
--- /dev/null
+++ b/data/hfopenllm_v2/MultivexAI/Gladiator-Mini-Exp-1211-3B/2582a049-e940-408b-b2d9-7a7bdf470e49.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/MultivexAI_Gladiator-Mini-Exp-1211-3B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Gladiator-Mini-Exp-1211-3B",
+    "id": "MultivexAI/Gladiator-Mini-Exp-1211-3B",
+    "developer": "MultivexAI",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 3.213
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6876
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4484
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1375
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2727
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.326
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3152
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/MultivexAI/Gladiator-Mini-Exp-1211-3B/2cc4a013-ff0c-44b0-b2e1-66e103606e12.json b/data/hfopenllm_v2/MultivexAI/Gladiator-Mini-Exp-1211-3B/2cc4a013-ff0c-44b0-b2e1-66e103606e12.json
deleted file mode 100644
index c8bdf4294..000000000
--- a/data/hfopenllm_v2/MultivexAI/Gladiator-Mini-Exp-1211-3B/2cc4a013-ff0c-44b0-b2e1-66e103606e12.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/MultivexAI_Gladiator-Mini-Exp-1211-3B/1762652579.763158",
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-  "source_data": [
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-  "source_metadata": {
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "MultivexAI/Gladiator-Mini-Exp-1211-3B",
-    "developer": "MultivexAI",
-    "inference_platform": "unknown",
-    "id": "MultivexAI/Gladiator-Mini-Exp-1211-3B",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 3.213
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.68760887777763
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.44843752663028075
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.13746223564954682
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2726510067114094
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.326
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3151595744680851
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/MultivexAI/Gladiator-Mini-Exp-1221-3B-Instruct-V2/99310118-d2ec-4647-85db-fcc22aee9161.json b/data/hfopenllm_v2/MultivexAI/Gladiator-Mini-Exp-1221-3B-Instruct-V2/99310118-d2ec-4647-85db-fcc22aee9161.json
new file mode 100644
index 000000000..22f18ce11
--- /dev/null
+++ b/data/hfopenllm_v2/MultivexAI/Gladiator-Mini-Exp-1221-3B-Instruct-V2/99310118-d2ec-4647-85db-fcc22aee9161.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/MultivexAI_Gladiator-Mini-Exp-1221-3B-Instruct-V2/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Gladiator-Mini-Exp-1221-3B-Instruct-V2",
+    "id": "MultivexAI/Gladiator-Mini-Exp-1221-3B-Instruct-V2",
+    "developer": "MultivexAI",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 3.213
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6215
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4389
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1412
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2634
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3008
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3025
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/MultivexAI/Gladiator-Mini-Exp-1221-3B-Instruct-V2/a152be8c-a542-4a73-8164-a43e1f04c595.json b/data/hfopenllm_v2/MultivexAI/Gladiator-Mini-Exp-1221-3B-Instruct-V2/a152be8c-a542-4a73-8164-a43e1f04c595.json
deleted file mode 100644
index 2be875013..000000000
--- a/data/hfopenllm_v2/MultivexAI/Gladiator-Mini-Exp-1221-3B-Instruct-V2/a152be8c-a542-4a73-8164-a43e1f04c595.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/MultivexAI_Gladiator-Mini-Exp-1221-3B-Instruct-V2/1762652579.763629",
-  "retrieved_timestamp": "1762652579.7636302",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "MultivexAI/Gladiator-Mini-Exp-1221-3B-Instruct-V2",
-    "developer": "MultivexAI",
-    "inference_platform": "unknown",
-    "id": "MultivexAI/Gladiator-Mini-Exp-1221-3B-Instruct-V2",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 3.213
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6215386286165153
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.438883390990549
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.14123867069486404
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2634228187919463
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30082291666666666
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3025265957446808
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/MultivexAI/Gladiator-Mini-Exp-1221-3B-Instruct/bedd12e4-da18-4ca6-ba51-6d13e1c80bae.json b/data/hfopenllm_v2/MultivexAI/Gladiator-Mini-Exp-1221-3B-Instruct/bedd12e4-da18-4ca6-ba51-6d13e1c80bae.json
new file mode 100644
index 000000000..b849a1f53
--- /dev/null
+++ b/data/hfopenllm_v2/MultivexAI/Gladiator-Mini-Exp-1221-3B-Instruct/bedd12e4-da18-4ca6-ba51-6d13e1c80bae.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/MultivexAI_Gladiator-Mini-Exp-1221-3B-Instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Gladiator-Mini-Exp-1221-3B-Instruct",
+    "id": "MultivexAI/Gladiator-Mini-Exp-1221-3B-Instruct",
+    "developer": "MultivexAI",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 3.213
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6079
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.437
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1352
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2634
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3115
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3049
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/MultivexAI/Gladiator-Mini-Exp-1221-3B-Instruct/ebfb99cd-9672-4c30-9540-46e4035a0d43.json b/data/hfopenllm_v2/MultivexAI/Gladiator-Mini-Exp-1221-3B-Instruct/ebfb99cd-9672-4c30-9540-46e4035a0d43.json
deleted file mode 100644
index 527525888..000000000
--- a/data/hfopenllm_v2/MultivexAI/Gladiator-Mini-Exp-1221-3B-Instruct/ebfb99cd-9672-4c30-9540-46e4035a0d43.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/MultivexAI_Gladiator-Mini-Exp-1221-3B-Instruct/1762652579.763424",
-  "retrieved_timestamp": "1762652579.763425",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "MultivexAI/Gladiator-Mini-Exp-1221-3B-Instruct",
-    "developer": "MultivexAI",
-    "inference_platform": "unknown",
-    "id": "MultivexAI/Gladiator-Mini-Exp-1221-3B-Instruct",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 3.213
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6078748830879843
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4369766992416903
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1351963746223565
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2634228187919463
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.31145833333333334
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3048537234042553
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/MultivexAI/Gladiator-Mini-Exp-1222-3B-Instruct/6767e14a-bbfa-4a0d-8120-1f48a565474e.json b/data/hfopenllm_v2/MultivexAI/Gladiator-Mini-Exp-1222-3B-Instruct/6767e14a-bbfa-4a0d-8120-1f48a565474e.json
new file mode 100644
index 000000000..37852b3f6
--- /dev/null
+++ b/data/hfopenllm_v2/MultivexAI/Gladiator-Mini-Exp-1222-3B-Instruct/6767e14a-bbfa-4a0d-8120-1f48a565474e.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/MultivexAI_Gladiator-Mini-Exp-1222-3B-Instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Gladiator-Mini-Exp-1222-3B-Instruct",
+    "id": "MultivexAI/Gladiator-Mini-Exp-1222-3B-Instruct",
+    "developer": "MultivexAI",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 3.213
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6163
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4373
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1412
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2634
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3128
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3017
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/MultivexAI/Gladiator-Mini-Exp-1222-3B-Instruct/990d6877-4045-49ef-ae23-f5a6302185d6.json b/data/hfopenllm_v2/MultivexAI/Gladiator-Mini-Exp-1222-3B-Instruct/990d6877-4045-49ef-ae23-f5a6302185d6.json
deleted file mode 100644
index d84d50dc1..000000000
--- a/data/hfopenllm_v2/MultivexAI/Gladiator-Mini-Exp-1222-3B-Instruct/990d6877-4045-49ef-ae23-f5a6302185d6.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/MultivexAI_Gladiator-Mini-Exp-1222-3B-Instruct/1762652579.763836",
-  "retrieved_timestamp": "1762652579.7638369",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "MultivexAI/Gladiator-Mini-Exp-1222-3B-Instruct",
-    "developer": "MultivexAI",
-    "inference_platform": "unknown",
-    "id": "MultivexAI/Gladiator-Mini-Exp-1222-3B-Instruct",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 3.213
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6163180361440976
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4373182371021645
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.14123867069486404
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2634228187919463
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.31276041666666665
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30169547872340424
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/MultivexAI/Phi-3.5-Mini-Instruct-MultiVex-v0.25-GGUF/70260aac-1bbf-4913-9dcc-58633d055314.json b/data/hfopenllm_v2/MultivexAI/Phi-3.5-Mini-Instruct-MultiVex-v0.25-GGUF/70260aac-1bbf-4913-9dcc-58633d055314.json
new file mode 100644
index 000000000..f8ab724bd
--- /dev/null
+++ b/data/hfopenllm_v2/MultivexAI/Phi-3.5-Mini-Instruct-MultiVex-v0.25-GGUF/70260aac-1bbf-4913-9dcc-58633d055314.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/MultivexAI_Phi-3.5-Mini-Instruct-MultiVex-v0.25-GGUF/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Phi-3.5-Mini-Instruct-MultiVex-v0.25-GGUF",
+    "id": "MultivexAI/Phi-3.5-Mini-Instruct-MultiVex-v0.25-GGUF",
+    "developer": "MultivexAI",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 3.821
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.144
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2908
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.006
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.255
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3642
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1109
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/MultivexAI/Phi-3.5-Mini-Instruct-MultiVex-v0.25-GGUF/c14766b4-5339-4c6e-87d9-fc2bb953e176.json b/data/hfopenllm_v2/MultivexAI/Phi-3.5-Mini-Instruct-MultiVex-v0.25-GGUF/c14766b4-5339-4c6e-87d9-fc2bb953e176.json
deleted file mode 100644
index 71ab9cbcc..000000000
--- a/data/hfopenllm_v2/MultivexAI/Phi-3.5-Mini-Instruct-MultiVex-v0.25-GGUF/c14766b4-5339-4c6e-87d9-fc2bb953e176.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/MultivexAI_Phi-3.5-Mini-Instruct-MultiVex-v0.25-GGUF/1762652579.764051",
-  "retrieved_timestamp": "1762652579.764052",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "MultivexAI/Phi-3.5-Mini-Instruct-MultiVex-v0.25-GGUF",
-    "developer": "MultivexAI",
-    "inference_platform": "unknown",
-    "id": "MultivexAI/Phi-3.5-Mini-Instruct-MultiVex-v0.25-GGUF",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 3.821
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.14398241111362298
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.29077474506950557
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.006042296072507553
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2550335570469799
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3641979166666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11087101063829788
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Mxode/NanoLM-0.3B-Instruct-v1.1/0f9eeb32-85fb-4778-8618-436aa4f891ad.json b/data/hfopenllm_v2/Mxode/NanoLM-0.3B-Instruct-v1.1/0f9eeb32-85fb-4778-8618-436aa4f891ad.json
deleted file mode 100644
index 0f9495395..000000000
--- a/data/hfopenllm_v2/Mxode/NanoLM-0.3B-Instruct-v1.1/0f9eeb32-85fb-4778-8618-436aa4f891ad.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Mxode_NanoLM-0.3B-Instruct-v1.1/1762652579.764531",
-  "retrieved_timestamp": "1762652579.764531",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Mxode/NanoLM-0.3B-Instruct-v1.1",
-    "developer": "Mxode",
-    "inference_platform": "unknown",
-    "id": "Mxode/NanoLM-0.3B-Instruct-v1.1",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 0.315
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.17827918810977095
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3014403673764691
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.013595166163141994
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.25
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42733333333333334
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11211768617021277
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Mxode/NanoLM-0.3B-Instruct-v1.1/fba6e1a2-c197-4731-91ea-f6d059ba8b16.json b/data/hfopenllm_v2/Mxode/NanoLM-0.3B-Instruct-v1.1/fba6e1a2-c197-4731-91ea-f6d059ba8b16.json
new file mode 100644
index 000000000..9fe318e68
--- /dev/null
+++ b/data/hfopenllm_v2/Mxode/NanoLM-0.3B-Instruct-v1.1/fba6e1a2-c197-4731-91ea-f6d059ba8b16.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Mxode_NanoLM-0.3B-Instruct-v1.1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "NanoLM-0.3B-Instruct-v1.1",
+    "id": "Mxode/NanoLM-0.3B-Instruct-v1.1",
+    "developer": "Mxode",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 0.315
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1783
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3014
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0136
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.25
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4273
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1121
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Mxode/NanoLM-0.3B-Instruct-v1/22e74d0c-70d6-43c5-be4d-62842d93fedf.json b/data/hfopenllm_v2/Mxode/NanoLM-0.3B-Instruct-v1/22e74d0c-70d6-43c5-be4d-62842d93fedf.json
new file mode 100644
index 000000000..fd4f80330
--- /dev/null
+++ b/data/hfopenllm_v2/Mxode/NanoLM-0.3B-Instruct-v1/22e74d0c-70d6-43c5-be4d-62842d93fedf.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Mxode_NanoLM-0.3B-Instruct-v1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "NanoLM-0.3B-Instruct-v1",
+    "id": "Mxode/NanoLM-0.3B-Instruct-v1",
+    "developer": "Mxode",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 0.315
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1537
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3028
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0144
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2718
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4155
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1105
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Mxode/NanoLM-0.3B-Instruct-v1/3c08189e-294e-4682-a7e0-e73a8d498fb2.json b/data/hfopenllm_v2/Mxode/NanoLM-0.3B-Instruct-v1/3c08189e-294e-4682-a7e0-e73a8d498fb2.json
deleted file mode 100644
index f6b0486a0..000000000
--- a/data/hfopenllm_v2/Mxode/NanoLM-0.3B-Instruct-v1/3c08189e-294e-4682-a7e0-e73a8d498fb2.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Mxode_NanoLM-0.3B-Instruct-v1/1762652579.764268",
-  "retrieved_timestamp": "1762652579.764269",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Mxode/NanoLM-0.3B-Instruct-v1",
-    "developer": "Mxode",
-    "inference_platform": "unknown",
-    "id": "Mxode/NanoLM-0.3B-Instruct-v1",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 0.315
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1536744726215331
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30282462164767127
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.014350453172205438
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.27181208053691275
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41552083333333334
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11053856382978723
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Mxode/NanoLM-0.3B-Instruct-v2/43ce0bee-e8ee-417d-be0d-841d6e26b330.json b/data/hfopenllm_v2/Mxode/NanoLM-0.3B-Instruct-v2/43ce0bee-e8ee-417d-be0d-841d6e26b330.json
deleted file mode 100644
index 9ef91167e..000000000
--- a/data/hfopenllm_v2/Mxode/NanoLM-0.3B-Instruct-v2/43ce0bee-e8ee-417d-be0d-841d6e26b330.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Mxode_NanoLM-0.3B-Instruct-v2/1762652579.7647529",
-  "retrieved_timestamp": "1762652579.7647538",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Mxode/NanoLM-0.3B-Instruct-v2",
-    "developer": "Mxode",
-    "inference_platform": "unknown",
-    "id": "Mxode/NanoLM-0.3B-Instruct-v2",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 0.315
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1667885654507817
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.29211039456850646
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.006797583081570997
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2609060402684564
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3954583333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11344747340425532
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Mxode/NanoLM-0.3B-Instruct-v2/f7c33065-1da1-4da4-81c7-f2c9307b6e9b.json b/data/hfopenllm_v2/Mxode/NanoLM-0.3B-Instruct-v2/f7c33065-1da1-4da4-81c7-f2c9307b6e9b.json
new file mode 100644
index 000000000..f92c110e8
--- /dev/null
+++ b/data/hfopenllm_v2/Mxode/NanoLM-0.3B-Instruct-v2/f7c33065-1da1-4da4-81c7-f2c9307b6e9b.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Mxode_NanoLM-0.3B-Instruct-v2/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "NanoLM-0.3B-Instruct-v2",
+    "id": "Mxode/NanoLM-0.3B-Instruct-v2",
+    "developer": "Mxode",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 0.315
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1668
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2921
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0068
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2609
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3955
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1134
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Mxode/NanoLM-1B-Instruct-v1.1/2e482de2-60ca-4758-9de8-4482e42a5b7a.json b/data/hfopenllm_v2/Mxode/NanoLM-1B-Instruct-v1.1/2e482de2-60ca-4758-9de8-4482e42a5b7a.json
deleted file mode 100644
index 70e3ca118..000000000
--- a/data/hfopenllm_v2/Mxode/NanoLM-1B-Instruct-v1.1/2e482de2-60ca-4758-9de8-4482e42a5b7a.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Mxode_NanoLM-1B-Instruct-v1.1/1762652579.764964",
-  "retrieved_timestamp": "1762652579.764964",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Mxode/NanoLM-1B-Instruct-v1.1",
-    "developer": "Mxode",
-    "inference_platform": "unknown",
-    "id": "Mxode/NanoLM-1B-Instruct-v1.1",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 1.076
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.23952889444451833
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.31835012059590373
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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diff --git a/data/hfopenllm_v2/Mxode/NanoLM-1B-Instruct-v1.1/ecdb4661-426a-46be-aefc-7e04483cebc0.json b/data/hfopenllm_v2/Mxode/NanoLM-1B-Instruct-v1.1/ecdb4661-426a-46be-aefc-7e04483cebc0.json
new file mode 100644
index 000000000..a4f75b709
--- /dev/null
+++ b/data/hfopenllm_v2/Mxode/NanoLM-1B-Instruct-v1.1/ecdb4661-426a-46be-aefc-7e04483cebc0.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Mxode_NanoLM-1B-Instruct-v1.1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "NanoLM-1B-Instruct-v1.1",
+    "id": "Mxode/NanoLM-1B-Instruct-v1.1",
+    "developer": "Mxode",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 1.076
+    }
+  },
+  "evaluation_results": [
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
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+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+    {
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+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
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+      },
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+        "hf_repo": "TAUR-Lab/MuSR"
+      },
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+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Mxode/NanoLM-1B-Instruct-v2/236976b3-af46-45ac-a8a5-f5897e3468a1.json b/data/hfopenllm_v2/Mxode/NanoLM-1B-Instruct-v2/236976b3-af46-45ac-a8a5-f5897e3468a1.json
new file mode 100644
index 000000000..3c6004de5
--- /dev/null
+++ b/data/hfopenllm_v2/Mxode/NanoLM-1B-Instruct-v2/236976b3-af46-45ac-a8a5-f5897e3468a1.json
@@ -0,0 +1,132 @@
+{
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+  "evaluation_id": "hfopenllm_v2/Mxode_NanoLM-1B-Instruct-v2/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "NanoLM-1B-Instruct-v2",
+    "id": "Mxode/NanoLM-1B-Instruct-v2",
+    "developer": "Mxode",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 1.076
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+    },
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3123
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+    },
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2634
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "max_score": 1.0
+      },
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+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Mxode/NanoLM-1B-Instruct-v2/d7d1e48d-86af-4f65-803b-30fff69c78b5.json b/data/hfopenllm_v2/Mxode/NanoLM-1B-Instruct-v2/d7d1e48d-86af-4f65-803b-30fff69c78b5.json
deleted file mode 100644
index 130e7bd8c..000000000
--- a/data/hfopenllm_v2/Mxode/NanoLM-1B-Instruct-v2/d7d1e48d-86af-4f65-803b-30fff69c78b5.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
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-    "developer": "Mxode",
-    "inference_platform": "unknown",
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-    }
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-    {
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-        "lower_is_better": false,
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diff --git a/data/hfopenllm_v2/NAPS-ai/naps-gemma-2-27b-v-0.1.0/fd175296-a5f6-4914-80e9-b8b75bc659de.json b/data/hfopenllm_v2/NAPS-ai/naps-gemma-2-27b-v-0.1.0/fd175296-a5f6-4914-80e9-b8b75bc659de.json
new file mode 100644
index 000000000..55309810d
--- /dev/null
+++ b/data/hfopenllm_v2/NAPS-ai/naps-gemma-2-27b-v-0.1.0/fd175296-a5f6-4914-80e9-b8b75bc659de.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/NAPS-ai_naps-gemma-2-27b-v-0.1.0/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "naps-gemma-2-27b-v-0.1.0",
+    "id": "NAPS-ai/naps-gemma-2-27b-v-0.1.0",
+    "developer": "NAPS-ai",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Gemma2ForCausalLM",
+      "params_billions": 27.227
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2912
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2601
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3575
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1168
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/NAPS-ai/naps-gemma-2-27b-v0.1.0/d910bbaa-d55c-4b00-9320-856a8a6713c0.json b/data/hfopenllm_v2/NAPS-ai/naps-gemma-2-27b-v0.1.0/d910bbaa-d55c-4b00-9320-856a8a6713c0.json
new file mode 100644
index 000000000..8fed04ca8
--- /dev/null
+++ b/data/hfopenllm_v2/NAPS-ai/naps-gemma-2-27b-v0.1.0/d910bbaa-d55c-4b00-9320-856a8a6713c0.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/NAPS-ai_naps-gemma-2-27b-v0.1.0/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "naps-gemma-2-27b-v0.1.0",
+    "id": "NAPS-ai/naps-gemma-2-27b-v0.1.0",
+    "developer": "NAPS-ai",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Gemma2ForCausalLM",
+      "params_billions": 27.227
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2912
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2601
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3575
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1168
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/NAPS-ai/naps-llama-3_1-8b-instruct-v0.3/99a5f123-5d2e-469b-884e-c9a64c6bc197.json b/data/hfopenllm_v2/NAPS-ai/naps-llama-3_1-8b-instruct-v0.3/99a5f123-5d2e-469b-884e-c9a64c6bc197.json
new file mode 100644
index 000000000..027340ffc
--- /dev/null
+++ b/data/hfopenllm_v2/NAPS-ai/naps-llama-3_1-8b-instruct-v0.3/99a5f123-5d2e-469b-884e-c9a64c6bc197.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/NAPS-ai_naps-llama-3_1-8b-instruct-v0.3/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "naps-llama-3_1-8b-instruct-v0.3",
+    "id": "NAPS-ai/naps-llama-3_1-8b-instruct-v0.3",
+    "developer": "NAPS-ai",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5391
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4901
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1903
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2995
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3787
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3398
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/NAPS-ai/naps-llama-3_1-8b-instruct-v0.3/d0ce5c14-28fa-4fde-901e-6670db6943de.json b/data/hfopenllm_v2/NAPS-ai/naps-llama-3_1-8b-instruct-v0.3/d0ce5c14-28fa-4fde-901e-6670db6943de.json
deleted file mode 100644
index bd2243e4e..000000000
--- a/data/hfopenllm_v2/NAPS-ai/naps-llama-3_1-8b-instruct-v0.3/d0ce5c14-28fa-4fde-901e-6670db6943de.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/NAPS-ai_naps-llama-3_1-8b-instruct-v0.3/1762652579.765912",
-  "retrieved_timestamp": "1762652579.765913",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "NAPS-ai/naps-llama-3_1-8b-instruct-v0.3",
-    "developer": "NAPS-ai",
-    "inference_platform": "unknown",
-    "id": "NAPS-ai/naps-llama-3_1-8b-instruct-v0.3",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5390818583580456
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4900525115527062
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1903323262839879
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.29949664429530204
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37870833333333337
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.33984375
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/NAPS-ai/naps-llama-3_1-8b-instruct-v0.4/467a9428-e85d-489d-be59-91842b389732.json b/data/hfopenllm_v2/NAPS-ai/naps-llama-3_1-8b-instruct-v0.4/467a9428-e85d-489d-be59-91842b389732.json
deleted file mode 100644
index 99fdd4de5..000000000
--- a/data/hfopenllm_v2/NAPS-ai/naps-llama-3_1-8b-instruct-v0.4/467a9428-e85d-489d-be59-91842b389732.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/NAPS-ai_naps-llama-3_1-8b-instruct-v0.4/1762652579.766172",
-  "retrieved_timestamp": "1762652579.766173",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "NAPS-ai/naps-llama-3_1-8b-instruct-v0.4",
-    "developer": "NAPS-ai",
-    "inference_platform": "unknown",
-    "id": "NAPS-ai/naps-llama-3_1-8b-instruct-v0.4",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7344202272193336
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4861833360906734
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.27936241610738255
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4421145833333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3474900265957447
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/NAPS-ai/naps-llama-3_1-8b-instruct-v0.4/ed17a715-f0ae-461c-9618-ac952c450ec5.json b/data/hfopenllm_v2/NAPS-ai/naps-llama-3_1-8b-instruct-v0.4/ed17a715-f0ae-461c-9618-ac952c450ec5.json
new file mode 100644
index 000000000..778af4ae2
--- /dev/null
+++ b/data/hfopenllm_v2/NAPS-ai/naps-llama-3_1-8b-instruct-v0.4/ed17a715-f0ae-461c-9618-ac952c450ec5.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/NAPS-ai_naps-llama-3_1-8b-instruct-v0.4/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "naps-llama-3_1-8b-instruct-v0.4",
+    "id": "NAPS-ai/naps-llama-3_1-8b-instruct-v0.4",
+    "developer": "NAPS-ai",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7344
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4862
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1964
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2794
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4421
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3475
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/NAPS-ai/naps-llama-3_1-instruct-v0.5.0/3dd2a474-9ea8-4e26-8986-5bcc67c78c39.json b/data/hfopenllm_v2/NAPS-ai/naps-llama-3_1-instruct-v0.5.0/3dd2a474-9ea8-4e26-8986-5bcc67c78c39.json
new file mode 100644
index 000000000..3ae07feca
--- /dev/null
+++ b/data/hfopenllm_v2/NAPS-ai/naps-llama-3_1-instruct-v0.5.0/3dd2a474-9ea8-4e26-8986-5bcc67c78c39.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/NAPS-ai_naps-llama-3_1-instruct-v0.5.0/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "naps-llama-3_1-instruct-v0.5.0",
+    "id": "NAPS-ai/naps-llama-3_1-instruct-v0.5.0",
+    "developer": "NAPS-ai",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.502
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4148
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0363
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2685
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3713
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2614
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/NAPS-ai/naps-llama-3_1-instruct-v0.5.0/5553fa1d-6bf9-469d-b870-590dd4965209.json b/data/hfopenllm_v2/NAPS-ai/naps-llama-3_1-instruct-v0.5.0/5553fa1d-6bf9-469d-b870-590dd4965209.json
deleted file mode 100644
index 46f8c148a..000000000
--- a/data/hfopenllm_v2/NAPS-ai/naps-llama-3_1-instruct-v0.5.0/5553fa1d-6bf9-469d-b870-590dd4965209.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/NAPS-ai_naps-llama-3_1-instruct-v0.5.0/1762652579.766381",
-  "retrieved_timestamp": "1762652579.766382",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "NAPS-ai/naps-llama-3_1-instruct-v0.5.0",
-    "developer": "NAPS-ai",
-    "inference_platform": "unknown",
-    "id": "NAPS-ai/naps-llama-3_1-instruct-v0.5.0",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5020124381086628
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4147584365689691
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.03625377643504532
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2684563758389262
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37127083333333327
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.26138630319148937
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/NAPS-ai/naps-llama-3_1_instruct-v0.6.0/b39e14a6-c05f-4e88-b2d4-63a199aa61a1.json b/data/hfopenllm_v2/NAPS-ai/naps-llama-3_1_instruct-v0.6.0/b39e14a6-c05f-4e88-b2d4-63a199aa61a1.json
new file mode 100644
index 000000000..5d319d532
--- /dev/null
+++ b/data/hfopenllm_v2/NAPS-ai/naps-llama-3_1_instruct-v0.6.0/b39e14a6-c05f-4e88-b2d4-63a199aa61a1.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/NAPS-ai_naps-llama-3_1_instruct-v0.6.0/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "naps-llama-3_1_instruct-v0.6.0",
+    "id": "NAPS-ai/naps-llama-3_1_instruct-v0.6.0",
+    "developer": "NAPS-ai",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.328
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4528
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0642
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2819
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3739
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3241
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/NAPS-ai/naps-llama3.1-70B-v0.2-fp16/39893637-552a-48d8-9b83-433415eb26c3.json b/data/hfopenllm_v2/NAPS-ai/naps-llama3.1-70B-v0.2-fp16/39893637-552a-48d8-9b83-433415eb26c3.json
new file mode 100644
index 000000000..fa9e2a0a2
--- /dev/null
+++ b/data/hfopenllm_v2/NAPS-ai/naps-llama3.1-70B-v0.2-fp16/39893637-552a-48d8-9b83-433415eb26c3.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/NAPS-ai_naps-llama3.1-70B-v0.2-fp16/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "naps-llama3.1-70B-v0.2-fp16",
+    "id": "NAPS-ai/naps-llama3.1-70B-v0.2-fp16",
+    "developer": "NAPS-ai",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 70.761
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1845
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3041
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2391
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3486
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1099
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/NCSOFT/Llama-VARCO-8B-Instruct/38876858-0585-4edb-a4af-e4c71530429c.json b/data/hfopenllm_v2/NCSOFT/Llama-VARCO-8B-Instruct/38876858-0585-4edb-a4af-e4c71530429c.json
deleted file mode 100644
index 8ff2adbdf..000000000
--- a/data/hfopenllm_v2/NCSOFT/Llama-VARCO-8B-Instruct/38876858-0585-4edb-a4af-e4c71530429c.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/NCSOFT_Llama-VARCO-8B-Instruct/1762652579.767406",
-  "retrieved_timestamp": "1762652579.7674072",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "NCSOFT/Llama-VARCO-8B-Instruct",
-    "developer": "NCSOFT",
-    "inference_platform": "unknown",
-    "id": "NCSOFT/Llama-VARCO-8B-Instruct",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4470327619604871
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5022879316026018
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.10649546827794562
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.29697986577181207
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3840729166666666
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.31898271276595747
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/NCSOFT/Llama-VARCO-8B-Instruct/f9549713-f487-4e26-bfeb-ec6d394b7014.json b/data/hfopenllm_v2/NCSOFT/Llama-VARCO-8B-Instruct/f9549713-f487-4e26-bfeb-ec6d394b7014.json
new file mode 100644
index 000000000..515a08f92
--- /dev/null
+++ b/data/hfopenllm_v2/NCSOFT/Llama-VARCO-8B-Instruct/f9549713-f487-4e26-bfeb-ec6d394b7014.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/NCSOFT_Llama-VARCO-8B-Instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-VARCO-8B-Instruct",
+    "id": "NCSOFT/Llama-VARCO-8B-Instruct",
+    "developer": "NCSOFT",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.447
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5023
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1065
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.297
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3841
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.319
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/NJS26/NJS_777/02579c41-f117-4412-9c00-ee7db3e9ab97.json b/data/hfopenllm_v2/NJS26/NJS_777/02579c41-f117-4412-9c00-ee7db3e9ab97.json
new file mode 100644
index 000000000..bf0dad5d2
--- /dev/null
+++ b/data/hfopenllm_v2/NJS26/NJS_777/02579c41-f117-4412-9c00-ee7db3e9ab97.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/NJS26_NJS_777/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "NJS_777",
+    "id": "NJS26/NJS_777",
+    "developer": "NJS26",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 10.362
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1881
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2178
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2064
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3538
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1163
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/NJS26/NJS_777/211449c7-9b14-4d20-a599-58718e9c5e4b.json b/data/hfopenllm_v2/NJS26/NJS_777/211449c7-9b14-4d20-a599-58718e9c5e4b.json
deleted file mode 100644
index 4454c1a67..000000000
--- a/data/hfopenllm_v2/NJS26/NJS_777/211449c7-9b14-4d20-a599-58718e9c5e4b.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/NJS26_NJS_777/1762652579.76769",
-  "retrieved_timestamp": "1762652579.76769",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "NJS26/NJS_777",
-    "developer": "NJS26",
-    "inference_platform": "unknown",
-    "id": "NJS26/NJS_777",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 10.362
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.18809647291409015
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.21782097894078087
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.0
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2063758389261745
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.35378125
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11627327127659574
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/NLPark/AnFeng_v3.1-Avocet/17b3cc41-69ac-48a2-9371-a5d1368dfeb9.json b/data/hfopenllm_v2/NLPark/AnFeng_v3.1-Avocet/17b3cc41-69ac-48a2-9371-a5d1368dfeb9.json
deleted file mode 100644
index f05d78969..000000000
--- a/data/hfopenllm_v2/NLPark/AnFeng_v3.1-Avocet/17b3cc41-69ac-48a2-9371-a5d1368dfeb9.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/NLPark_AnFeng_v3.1-Avocet/1762652579.76799",
-  "retrieved_timestamp": "1762652579.767991",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "NLPark/AnFeng_v3.1-Avocet",
-    "developer": "NLPark",
-    "inference_platform": "unknown",
-    "id": "NLPark/AnFeng_v3.1-Avocet",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 34.393
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5096311121158525
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.582852329074409
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1593655589123867
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.32466442953020136
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.44757291666666665
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.44381648936170215
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/NLPark/AnFeng_v3.1-Avocet/bfa1d761-00aa-4438-a5de-972d934c63d5.json b/data/hfopenllm_v2/NLPark/AnFeng_v3.1-Avocet/bfa1d761-00aa-4438-a5de-972d934c63d5.json
new file mode 100644
index 000000000..d4c3c3a62
--- /dev/null
+++ b/data/hfopenllm_v2/NLPark/AnFeng_v3.1-Avocet/bfa1d761-00aa-4438-a5de-972d934c63d5.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/NLPark_AnFeng_v3.1-Avocet/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "AnFeng_v3.1-Avocet",
+    "id": "NLPark/AnFeng_v3.1-Avocet",
+    "developer": "NLPark",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 34.393
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5096
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5829
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1594
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3247
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4476
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4438
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/NLPark/B-and-W_Flycatcher-3AD1E/20a84d88-05c2-4e02-8c84-2afa84cc659f.json b/data/hfopenllm_v2/NLPark/B-and-W_Flycatcher-3AD1E/20a84d88-05c2-4e02-8c84-2afa84cc659f.json
new file mode 100644
index 000000000..17941cc70
--- /dev/null
+++ b/data/hfopenllm_v2/NLPark/B-and-W_Flycatcher-3AD1E/20a84d88-05c2-4e02-8c84-2afa84cc659f.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/NLPark_B-and-W_Flycatcher-3AD1E/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "B-and-W_Flycatcher-3AD1E",
+    "id": "NLPark/B-and-W_Flycatcher-3AD1E",
+    "developer": "NLPark",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 14.77
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4908
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6065
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2379
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3305
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4423
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4741
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/NLPark/B-and-W_Flycatcher-3AD1E/95b94fcb-7aba-4473-b88f-36dddcd646c1.json b/data/hfopenllm_v2/NLPark/B-and-W_Flycatcher-3AD1E/95b94fcb-7aba-4473-b88f-36dddcd646c1.json
deleted file mode 100644
index d540e9f52..000000000
--- a/data/hfopenllm_v2/NLPark/B-and-W_Flycatcher-3AD1E/95b94fcb-7aba-4473-b88f-36dddcd646c1.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/NLPark_B-and-W_Flycatcher-3AD1E/1762652579.7682638",
-  "retrieved_timestamp": "1762652579.768265",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "NLPark/B-and-W_Flycatcher-3AD1E",
-    "developer": "NLPark",
-    "inference_platform": "unknown",
-    "id": "NLPark/B-and-W_Flycatcher-3AD1E",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 14.77
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.49084650948372543
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6065117528534355
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.23791540785498488
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.33053691275167785
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.44227083333333334
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4740691489361702
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/NLPark/Shi-Ci-Robin-Test_3AD80/0fa6785d-8db5-40f9-b259-3368ffb547d4.json b/data/hfopenllm_v2/NLPark/Shi-Ci-Robin-Test_3AD80/0fa6785d-8db5-40f9-b259-3368ffb547d4.json
deleted file mode 100644
index 1acc7d865..000000000
--- a/data/hfopenllm_v2/NLPark/Shi-Ci-Robin-Test_3AD80/0fa6785d-8db5-40f9-b259-3368ffb547d4.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/NLPark_Shi-Ci-Robin-Test_3AD80/1762652579.768489",
-  "retrieved_timestamp": "1762652579.76849",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "NLPark/Shi-Ci-Robin-Test_3AD80",
-    "developer": "NLPark",
-    "inference_platform": "unknown",
-    "id": "NLPark/Shi-Ci-Robin-Test_3AD80",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 70.554
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7226547782107031
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6704805157570325
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3157099697885196
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3598993288590604
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.46959375000000003
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5120511968085106
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/NLPark/Shi-Ci-Robin-Test_3AD80/84eedce3-3a93-4630-b914-aa281fd2efda.json b/data/hfopenllm_v2/NLPark/Shi-Ci-Robin-Test_3AD80/84eedce3-3a93-4630-b914-aa281fd2efda.json
new file mode 100644
index 000000000..b7883ce1e
--- /dev/null
+++ b/data/hfopenllm_v2/NLPark/Shi-Ci-Robin-Test_3AD80/84eedce3-3a93-4630-b914-aa281fd2efda.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/NLPark_Shi-Ci-Robin-Test_3AD80/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Shi-Ci-Robin-Test_3AD80",
+    "id": "NLPark/Shi-Ci-Robin-Test_3AD80",
+    "developer": "NLPark",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 70.554
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7227
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6705
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3157
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3599
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4696
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5121
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/NTQAI/NxMobileLM-1.5B-SFT/7a295af9-fb47-484f-8748-af3ee245d2c5.json b/data/hfopenllm_v2/NTQAI/NxMobileLM-1.5B-SFT/7a295af9-fb47-484f-8748-af3ee245d2c5.json
deleted file mode 100644
index a29de3706..000000000
--- a/data/hfopenllm_v2/NTQAI/NxMobileLM-1.5B-SFT/7a295af9-fb47-484f-8748-af3ee245d2c5.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/NTQAI_NxMobileLM-1.5B-SFT/1762652579.768717",
-  "retrieved_timestamp": "1762652579.768718",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "NTQAI/NxMobileLM-1.5B-SFT",
-    "developer": "NTQAI",
-    "inference_platform": "unknown",
-    "id": "NTQAI/NxMobileLM-1.5B-SFT",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 1.544
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6392239258500778
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.39571778048116
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.08459214501510574
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.25922818791946306
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.35552083333333334
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.28174867021276595
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/NTQAI/NxMobileLM-1.5B-SFT/b3b7b62f-ac82-4ef9-9634-afb81645ec19.json b/data/hfopenllm_v2/NTQAI/NxMobileLM-1.5B-SFT/b3b7b62f-ac82-4ef9-9634-afb81645ec19.json
new file mode 100644
index 000000000..ddf2ce282
--- /dev/null
+++ b/data/hfopenllm_v2/NTQAI/NxMobileLM-1.5B-SFT/b3b7b62f-ac82-4ef9-9634-afb81645ec19.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/NTQAI_NxMobileLM-1.5B-SFT/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "NxMobileLM-1.5B-SFT",
+    "id": "NTQAI/NxMobileLM-1.5B-SFT",
+    "developer": "NTQAI",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 1.544
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6392
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3957
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0846
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2592
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3555
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2817
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/NTQAI/Nxcode-CQ-7B-orpo/1c020e50-fe68-40c9-a36a-7bec201f409a.json b/data/hfopenllm_v2/NTQAI/Nxcode-CQ-7B-orpo/1c020e50-fe68-40c9-a36a-7bec201f409a.json
deleted file mode 100644
index 48c687b1f..000000000
--- a/data/hfopenllm_v2/NTQAI/Nxcode-CQ-7B-orpo/1c020e50-fe68-40c9-a36a-7bec201f409a.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
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-}
diff --git a/data/hfopenllm_v2/NTQAI/Nxcode-CQ-7B-orpo/283c5166-b9c5-4d20-9653-0cd0346d87c1.json b/data/hfopenllm_v2/NTQAI/Nxcode-CQ-7B-orpo/283c5166-b9c5-4d20-9653-0cd0346d87c1.json
new file mode 100644
index 000000000..61343896e
--- /dev/null
+++ b/data/hfopenllm_v2/NTQAI/Nxcode-CQ-7B-orpo/283c5166-b9c5-4d20-9653-0cd0346d87c1.json
@@ -0,0 +1,132 @@
+{
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+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Nxcode-CQ-7B-orpo",
+    "id": "NTQAI/Nxcode-CQ-7B-orpo",
+    "developer": "NTQAI",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.25
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4143
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2542
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.394
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1612
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/NYTK/PULI-GPTrio/478b54cd-6410-41e5-8a53-4e46bcd9d7af.json b/data/hfopenllm_v2/NYTK/PULI-GPTrio/478b54cd-6410-41e5-8a53-4e46bcd9d7af.json
new file mode 100644
index 000000000..513daf9dc
--- /dev/null
+++ b/data/hfopenllm_v2/NYTK/PULI-GPTrio/478b54cd-6410-41e5-8a53-4e46bcd9d7af.json
@@ -0,0 +1,132 @@
+{
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+  "evaluation_id": "hfopenllm_v2/NYTK_PULI-GPTrio/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "PULI-GPTrio",
+    "id": "NYTK/PULI-GPTrio",
+    "developer": "NYTK",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "GPTNeoXForCausalLM",
+      "params_billions": 7.673
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.218
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.306
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+        "score": 0.0121
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3819
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+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
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+      },
+      "score_details": {
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+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/NYTK/PULI-LlumiX-32K/7230c1f3-d7f6-4a96-8308-b2d5895a0a0a.json b/data/hfopenllm_v2/NYTK/PULI-LlumiX-32K/7230c1f3-d7f6-4a96-8308-b2d5895a0a0a.json
deleted file mode 100644
index fb80b36c2..000000000
--- a/data/hfopenllm_v2/NYTK/PULI-LlumiX-32K/7230c1f3-d7f6-4a96-8308-b2d5895a0a0a.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/NYTK_PULI-LlumiX-32K/1762652579.76952",
-  "retrieved_timestamp": "1762652579.769521",
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "NYTK/PULI-LlumiX-32K",
-    "developer": "NYTK",
-    "inference_platform": "unknown",
-    "id": "NYTK/PULI-LlumiX-32K",
-    "additional_details": {
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-      "architecture": "LlamaForCausalLM",
-      "params_billions": 6.738
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-  "evaluation_results": [
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-    {
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-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
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-      "metric_config": {
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/NYTK/PULI-LlumiX-32K/de2ae7a9-93eb-4149-b3ff-b5b7dfba29c4.json b/data/hfopenllm_v2/NYTK/PULI-LlumiX-32K/de2ae7a9-93eb-4149-b3ff-b5b7dfba29c4.json
new file mode 100644
index 000000000..373fe82fa
--- /dev/null
+++ b/data/hfopenllm_v2/NYTK/PULI-LlumiX-32K/de2ae7a9-93eb-4149-b3ff-b5b7dfba29c4.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/NYTK_PULI-LlumiX-32K/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "PULI-LlumiX-32K",
+    "id": "NYTK/PULI-LlumiX-32K",
+    "developer": "NYTK",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 6.738
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.17
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3189
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0128
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2534
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3964
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1681
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Naveenpoliasetty/llama3-8B-V2/ef5aa9db-804b-4a53-9c22-9c99f6c69eeb.json b/data/hfopenllm_v2/Naveenpoliasetty/llama3-8B-V2/ef5aa9db-804b-4a53-9c22-9c99f6c69eeb.json
new file mode 100644
index 000000000..6dbee699d
--- /dev/null
+++ b/data/hfopenllm_v2/Naveenpoliasetty/llama3-8B-V2/ef5aa9db-804b-4a53-9c22-9c99f6c69eeb.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Naveenpoliasetty_llama3-8B-V2/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "llama3-8B-V2",
+    "id": "Naveenpoliasetty/llama3-8B-V2",
+    "developer": "Naveenpoliasetty",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4123
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5189
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0785
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2903
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4081
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3738
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/NbAiLab/nb-llama-3.1-8B-Instruct/553fd36d-08dd-46a3-ab04-77b9039e7921.json b/data/hfopenllm_v2/NbAiLab/nb-llama-3.1-8B-Instruct/553fd36d-08dd-46a3-ab04-77b9039e7921.json
new file mode 100644
index 000000000..b291ca255
--- /dev/null
+++ b/data/hfopenllm_v2/NbAiLab/nb-llama-3.1-8B-Instruct/553fd36d-08dd-46a3-ab04-77b9039e7921.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/NbAiLab_nb-llama-3.1-8B-Instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "nb-llama-3.1-8B-Instruct",
+    "id": "NbAiLab/nb-llama-3.1-8B-Instruct",
+    "developer": "NbAiLab",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3625
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3247
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0227
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2735
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3208
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1197
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/NbAiLab/nb-llama-3.1-8B-Instruct/b0f68843-2f49-4d2a-91ab-ad8d07791125.json b/data/hfopenllm_v2/NbAiLab/nb-llama-3.1-8B-Instruct/b0f68843-2f49-4d2a-91ab-ad8d07791125.json
deleted file mode 100644
index 2ad03daab..000000000
--- a/data/hfopenllm_v2/NbAiLab/nb-llama-3.1-8B-Instruct/b0f68843-2f49-4d2a-91ab-ad8d07791125.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/NbAiLab_nb-llama-3.1-8B-Instruct/1762652579.7700322",
-  "retrieved_timestamp": "1762652579.770033",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "NbAiLab/nb-llama-3.1-8B-Instruct",
-    "developer": "NbAiLab",
-    "inference_platform": "unknown",
-    "id": "NbAiLab/nb-llama-3.1-8B-Instruct",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.362502604201297
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.32466553135589526
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.022658610271903322
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.27348993288590606
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.32076041666666666
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1196808510638298
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/NbAiLab/nb-llama-3.1-8B-sft/e2bae853-cc0f-456a-a635-98d5f87ac47c.json b/data/hfopenllm_v2/NbAiLab/nb-llama-3.1-8B-sft/e2bae853-cc0f-456a-a635-98d5f87ac47c.json
new file mode 100644
index 000000000..c5be98399
--- /dev/null
+++ b/data/hfopenllm_v2/NbAiLab/nb-llama-3.1-8B-sft/e2bae853-cc0f-456a-a635-98d5f87ac47c.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/NbAiLab_nb-llama-3.1-8B-sft/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "nb-llama-3.1-8B-sft",
+    "id": "NbAiLab/nb-llama-3.1-8B-sft",
+    "developer": "NbAiLab",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3616
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3282
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0219
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2542
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3287
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1222
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/NbAiLab/nb-llama-3.1-8B-sft/e8313b88-13ee-4926-90f8-696b0604c7b9.json b/data/hfopenllm_v2/NbAiLab/nb-llama-3.1-8B-sft/e8313b88-13ee-4926-90f8-696b0604c7b9.json
deleted file mode 100644
index d9ed96f64..000000000
--- a/data/hfopenllm_v2/NbAiLab/nb-llama-3.1-8B-sft/e8313b88-13ee-4926-90f8-696b0604c7b9.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/NbAiLab_nb-llama-3.1-8B-sft/1762652579.7703218",
-  "retrieved_timestamp": "1762652579.770323",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "NbAiLab/nb-llama-3.1-8B-sft",
-    "developer": "NbAiLab",
-    "inference_platform": "unknown",
-    "id": "NbAiLab/nb-llama-3.1-8B-sft",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.36157838978355206
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3281509048328078
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.02190332326283988
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.25419463087248323
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3287291666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.12217420212765957
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Nekochu/Llama-3.1-8B-German-ORPO/d6c5f196-c97b-4a0a-81b0-59143ec4b10e.json b/data/hfopenllm_v2/Nekochu/Llama-3.1-8B-German-ORPO/d6c5f196-c97b-4a0a-81b0-59143ec4b10e.json
new file mode 100644
index 000000000..95ea21ef4
--- /dev/null
+++ b/data/hfopenllm_v2/Nekochu/Llama-3.1-8B-German-ORPO/d6c5f196-c97b-4a0a-81b0-59143ec4b10e.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Nekochu_Llama-3.1-8B-German-ORPO/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-3.1-8B-German-ORPO",
+    "id": "Nekochu/Llama-3.1-8B-German-ORPO",
+    "developer": "Nekochu",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4611
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4983
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1171
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3163
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4647
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3393
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Nekochu/Llama-3.1-8B-french-DPO/5d92e02f-b590-4b6b-8c64-30690f79e916.json b/data/hfopenllm_v2/Nekochu/Llama-3.1-8B-french-DPO/5d92e02f-b590-4b6b-8c64-30690f79e916.json
new file mode 100644
index 000000000..ccbbfa608
--- /dev/null
+++ b/data/hfopenllm_v2/Nekochu/Llama-3.1-8B-french-DPO/5d92e02f-b590-4b6b-8c64-30690f79e916.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Nekochu_Llama-3.1-8B-french-DPO/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-3.1-8B-french-DPO",
+    "id": "Nekochu/Llama-3.1-8B-french-DPO",
+    "developer": "Nekochu",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4656
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5111
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0974
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2911
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4216
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3414
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Nekochu/Llama-3.1-8B-french-DPO/ebc2a3b7-30e9-4608-a8c0-ea90a308c0e5.json b/data/hfopenllm_v2/Nekochu/Llama-3.1-8B-french-DPO/ebc2a3b7-30e9-4608-a8c0-ea90a308c0e5.json
deleted file mode 100644
index 5fa49583f..000000000
--- a/data/hfopenllm_v2/Nekochu/Llama-3.1-8B-french-DPO/ebc2a3b7-30e9-4608-a8c0-ea90a308c0e5.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Nekochu_Llama-3.1-8B-french-DPO/1762652579.770777",
-  "retrieved_timestamp": "1762652579.7707782",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Nekochu/Llama-3.1-8B-french-DPO",
-    "developer": "Nekochu",
-    "inference_platform": "unknown",
-    "id": "Nekochu/Llama-3.1-8B-french-DPO",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.46564227361179444
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5110888403999433
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.09743202416918428
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2911073825503356
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4215625
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3414228723404255
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Nekochu/Luminia-13B-v3/172f121a-3843-4b01-94e1-a95001909bb8.json b/data/hfopenllm_v2/Nekochu/Luminia-13B-v3/172f121a-3843-4b01-94e1-a95001909bb8.json
deleted file mode 100644
index b495eae6e..000000000
--- a/data/hfopenllm_v2/Nekochu/Luminia-13B-v3/172f121a-3843-4b01-94e1-a95001909bb8.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Nekochu_Luminia-13B-v3/1762652579.771023",
-  "retrieved_timestamp": "1762652579.771023",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Nekochu/Luminia-13B-v3",
-    "developer": "Nekochu",
-    "inference_platform": "unknown",
-    "id": "Nekochu/Luminia-13B-v3",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 13.016
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.25231829323971505
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41121515510929624
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.01812688821752266
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2701342281879195
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3983333333333334
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.22149268617021275
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Nekochu/Luminia-13B-v3/e10f38df-b5d5-47c6-924f-563c6f8a6616.json b/data/hfopenllm_v2/Nekochu/Luminia-13B-v3/e10f38df-b5d5-47c6-924f-563c6f8a6616.json
new file mode 100644
index 000000000..5012f1af5
--- /dev/null
+++ b/data/hfopenllm_v2/Nekochu/Luminia-13B-v3/e10f38df-b5d5-47c6-924f-563c6f8a6616.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Nekochu_Luminia-13B-v3/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Luminia-13B-v3",
+    "id": "Nekochu/Luminia-13B-v3",
+    "developer": "Nekochu",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 13.016
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2523
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4112
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0181
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2701
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3983
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2215
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Nekochu/Luminia-8B-RP/27257dc9-750c-4673-8865-986434bc5c0e.json b/data/hfopenllm_v2/Nekochu/Luminia-8B-RP/27257dc9-750c-4673-8865-986434bc5c0e.json
new file mode 100644
index 000000000..1ed86080e
--- /dev/null
+++ b/data/hfopenllm_v2/Nekochu/Luminia-8B-RP/27257dc9-750c-4673-8865-986434bc5c0e.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Nekochu_Luminia-8B-RP/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Luminia-8B-RP",
+    "id": "Nekochu/Luminia-8B-RP",
+    "developer": "Nekochu",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5574
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5218
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.136
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.297
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3998
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3631
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Nekochu/Luminia-8B-RP/fd23ba4a-a0ce-474b-9aa4-b5295d872028.json b/data/hfopenllm_v2/Nekochu/Luminia-8B-RP/fd23ba4a-a0ce-474b-9aa4-b5295d872028.json
deleted file mode 100644
index 21465e6e9..000000000
--- a/data/hfopenllm_v2/Nekochu/Luminia-8B-RP/fd23ba4a-a0ce-474b-9aa4-b5295d872028.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Nekochu_Luminia-8B-RP/1762652579.7713962",
-  "retrieved_timestamp": "1762652579.7713978",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Nekochu/Luminia-8B-RP",
-    "developer": "Nekochu",
-    "inference_platform": "unknown",
-    "id": "Nekochu/Luminia-8B-RP",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5574165436597118
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5218151030627874
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.13595166163141995
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.29697986577181207
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3997604166666666
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3631150265957447
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/NeverSleep/Lumimaid-v0.2-12B/cee1293c-54fb-4275-b5a9-0215e5f9a4c0.json b/data/hfopenllm_v2/NeverSleep/Lumimaid-v0.2-12B/cee1293c-54fb-4275-b5a9-0215e5f9a4c0.json
deleted file mode 100644
index 8e210edb4..000000000
--- a/data/hfopenllm_v2/NeverSleep/Lumimaid-v0.2-12B/cee1293c-54fb-4275-b5a9-0215e5f9a4c0.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/NeverSleep_Lumimaid-v0.2-12B/1762652579.771668",
-  "retrieved_timestamp": "1762652579.771669",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "NeverSleep/Lumimaid-v0.2-12B",
-    "developer": "NeverSleep",
-    "inference_platform": "unknown",
-    "id": "NeverSleep/Lumimaid-v0.2-12B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 12.248
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.10993497253952846
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5395610525850818
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.05664652567975831
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3145973154362416
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.48211458333333335
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3511469414893617
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/NeverSleep/Lumimaid-v0.2-12B/e599f3f8-e5eb-4bfe-a102-efc5a967434d.json b/data/hfopenllm_v2/NeverSleep/Lumimaid-v0.2-12B/e599f3f8-e5eb-4bfe-a102-efc5a967434d.json
new file mode 100644
index 000000000..69ad8d773
--- /dev/null
+++ b/data/hfopenllm_v2/NeverSleep/Lumimaid-v0.2-12B/e599f3f8-e5eb-4bfe-a102-efc5a967434d.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/NeverSleep_Lumimaid-v0.2-12B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Lumimaid-v0.2-12B",
+    "id": "NeverSleep/Lumimaid-v0.2-12B",
+    "developer": "NeverSleep",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 12.248
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1099
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5396
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0566
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3146
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4821
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3511
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/NeverSleep/Lumimaid-v0.2-8B/6d7f1ac9-66c8-4700-87a9-0e413fc8878e.json b/data/hfopenllm_v2/NeverSleep/Lumimaid-v0.2-8B/6d7f1ac9-66c8-4700-87a9-0e413fc8878e.json
deleted file mode 100644
index 76fce9bb1..000000000
--- a/data/hfopenllm_v2/NeverSleep/Lumimaid-v0.2-8B/6d7f1ac9-66c8-4700-87a9-0e413fc8878e.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/NeverSleep_Lumimaid-v0.2-8B/1762652579.771939",
-  "retrieved_timestamp": "1762652579.771939",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "NeverSleep/Lumimaid-v0.2-8B",
-    "developer": "NeverSleep",
-    "inference_platform": "unknown",
-    "id": "NeverSleep/Lumimaid-v0.2-8B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5038109992597419
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5237767601226618
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.14350453172205438
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.311241610738255
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4303020833333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.36361369680851063
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/NeverSleep/Lumimaid-v0.2-8B/8e56f2dd-49d0-4eff-beea-53d01cd96f0e.json b/data/hfopenllm_v2/NeverSleep/Lumimaid-v0.2-8B/8e56f2dd-49d0-4eff-beea-53d01cd96f0e.json
new file mode 100644
index 000000000..e40a35f70
--- /dev/null
+++ b/data/hfopenllm_v2/NeverSleep/Lumimaid-v0.2-8B/8e56f2dd-49d0-4eff-beea-53d01cd96f0e.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/NeverSleep_Lumimaid-v0.2-8B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Lumimaid-v0.2-8B",
+    "id": "NeverSleep/Lumimaid-v0.2-8B",
+    "developer": "NeverSleep",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5038
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5238
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1435
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3112
+      }
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diff --git a/data/hfopenllm_v2/Nexesenex/Dolphin3.0-Llama3.1-1B-abliterated/f1a2b5d0-2c8a-4bbc-8bc5-0484485c2dad.json b/data/hfopenllm_v2/Nexesenex/Dolphin3.0-Llama3.1-1B-abliterated/f1a2b5d0-2c8a-4bbc-8bc5-0484485c2dad.json
new file mode 100644
index 000000000..f3573a1fa
--- /dev/null
+++ b/data/hfopenllm_v2/Nexesenex/Dolphin3.0-Llama3.1-1B-abliterated/f1a2b5d0-2c8a-4bbc-8bc5-0484485c2dad.json
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diff --git a/data/hfopenllm_v2/Nexesenex/Llama_3.1_8b_DeepDive_3_Prev_v1.0/2c12ee67-0c77-4cb2-9e88-1c731ed55c3f.json b/data/hfopenllm_v2/Nexesenex/Llama_3.1_8b_DeepDive_3_Prev_v1.0/2c12ee67-0c77-4cb2-9e88-1c731ed55c3f.json
new file mode 100644
index 000000000..cd74ed8ee
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diff --git a/data/hfopenllm_v2/Nexesenex/Llama_3.1_8b_DeepDive_3_R1_Prev_v1.0/567f8f54-225f-4d9b-be06-f24091adc1e6.json b/data/hfopenllm_v2/Nexesenex/Llama_3.1_8b_DeepDive_3_R1_Prev_v1.0/567f8f54-225f-4d9b-be06-f24091adc1e6.json
new file mode 100644
index 000000000..7e171d5ad
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/Nexesenex/Llama_3.1_8b_DobHerWild_R1_v1.1R/ebb59730-9522-4c45-8f42-c0d941fd728c.json b/data/hfopenllm_v2/Nexesenex/Llama_3.1_8b_DobHerWild_R1_v1.1R/ebb59730-9522-4c45-8f42-c0d941fd728c.json
new file mode 100644
index 000000000..2ed4134e3
--- /dev/null
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/Nexesenex/Llama_3.1_8b_DoberWild_v2.01/2c44fa8c-ebd3-4ea6-8578-61da38965c09.json b/data/hfopenllm_v2/Nexesenex/Llama_3.1_8b_DoberWild_v2.01/2c44fa8c-ebd3-4ea6-8578-61da38965c09.json
new file mode 100644
index 000000000..d6626e33b
--- /dev/null
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@@ -0,0 +1,132 @@
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diff --git a/data/hfopenllm_v2/Nexesenex/Llama_3.1_8b_DoberWild_v2.02/3ef26b8c-6bfb-457b-a160-a65c3cc8b0c6.json b/data/hfopenllm_v2/Nexesenex/Llama_3.1_8b_DoberWild_v2.02/3ef26b8c-6bfb-457b-a160-a65c3cc8b0c6.json
new file mode 100644
index 000000000..f57ee9701
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diff --git a/data/hfopenllm_v2/Nexesenex/Llama_3.1_8b_DoberWild_v2.03/0ab721ba-fbda-44ca-a349-1d3abfaabe62.json b/data/hfopenllm_v2/Nexesenex/Llama_3.1_8b_DoberWild_v2.03/0ab721ba-fbda-44ca-a349-1d3abfaabe62.json
new file mode 100644
index 000000000..7306b4374
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diff --git a/data/hfopenllm_v2/Nexesenex/Llama_3.1_8b_DodoWild_v2.01/2fea1128-4f0c-40d8-be87-72c42c0648fb.json b/data/hfopenllm_v2/Nexesenex/Llama_3.1_8b_DodoWild_v2.01/2fea1128-4f0c-40d8-be87-72c42c0648fb.json
new file mode 100644
index 000000000..a603278e4
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diff --git a/data/hfopenllm_v2/Nexesenex/Llama_3.1_8b_DodoWild_v2.02/db9dc9d2-4aa2-43d0-9f2e-15fbd05af62c.json b/data/hfopenllm_v2/Nexesenex/Llama_3.1_8b_DodoWild_v2.02/db9dc9d2-4aa2-43d0-9f2e-15fbd05af62c.json
new file mode 100644
index 000000000..afa87e2bb
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diff --git a/data/hfopenllm_v2/Nexesenex/Llama_3.1_8b_DodoWild_v2.03/28399fd0-840c-49d3-8179-407ed83d3bfc.json b/data/hfopenllm_v2/Nexesenex/Llama_3.1_8b_DodoWild_v2.03/28399fd0-840c-49d3-8179-407ed83d3bfc.json
new file mode 100644
index 000000000..7503f6ebc
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diff --git a/data/hfopenllm_v2/Nexesenex/Llama_3.1_8b_DodoWild_v2.10/d7108c13-e14a-4366-9a39-204f853b1bee.json b/data/hfopenllm_v2/Nexesenex/Llama_3.1_8b_DodoWild_v2.10/d7108c13-e14a-4366-9a39-204f853b1bee.json
new file mode 100644
index 000000000..cda2e5b7a
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diff --git a/data/hfopenllm_v2/Nexesenex/Llama_3.1_8b_Dolermed_R1_V1.01/56152d05-9273-4701-8c0a-723e2cab618d.json b/data/hfopenllm_v2/Nexesenex/Llama_3.1_8b_Dolermed_R1_V1.01/56152d05-9273-4701-8c0a-723e2cab618d.json
new file mode 100644
index 000000000..9d16585a7
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diff --git a/data/hfopenllm_v2/Nexesenex/Llama_3.1_8b_Dolermed_R1_V1.03/55d2f23d-cb6c-42d2-8b57-837451d3c6df.json b/data/hfopenllm_v2/Nexesenex/Llama_3.1_8b_Dolermed_R1_V1.03/55d2f23d-cb6c-42d2-8b57-837451d3c6df.json
new file mode 100644
index 000000000..d30924818
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/Nexesenex/Llama_3.1_8b_Dolermed_V1.01/7479ae87-e795-4e20-848a-291614176def.json b/data/hfopenllm_v2/Nexesenex/Llama_3.1_8b_Dolermed_V1.01/7479ae87-e795-4e20-848a-291614176def.json
new file mode 100644
index 000000000..3796fa305
--- /dev/null
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diff --git a/data/hfopenllm_v2/Nexesenex/Llama_3.1_8b_Dolerstormed_V1.04/04ceb40e-bde8-487b-9d29-dc8f681af9be.json b/data/hfopenllm_v2/Nexesenex/Llama_3.1_8b_Dolerstormed_V1.04/04ceb40e-bde8-487b-9d29-dc8f681af9be.json
new file mode 100644
index 000000000..baf40f42c
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diff --git a/data/hfopenllm_v2/Nexesenex/Llama_3.1_8b_Hermedash_R1_V1.04/e26b00b0-d9df-4ce2-a649-b19f8957b8ce.json b/data/hfopenllm_v2/Nexesenex/Llama_3.1_8b_Hermedash_R1_V1.04/e26b00b0-d9df-4ce2-a649-b19f8957b8ce.json
new file mode 100644
index 000000000..59b222af2
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diff --git a/data/hfopenllm_v2/Nexesenex/Llama_3.1_8b_Hermedive_R1_V1.01/9954194c-69b5-4eb4-8b32-859845548cb0.json b/data/hfopenllm_v2/Nexesenex/Llama_3.1_8b_Hermedive_R1_V1.01/9954194c-69b5-4eb4-8b32-859845548cb0.json
new file mode 100644
index 000000000..db5b6578a
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diff --git a/data/hfopenllm_v2/Nexesenex/Llama_3.1_8b_Hermedive_R1_V1.03/2afbc279-242a-4276-85f0-facd29c2d89b.json b/data/hfopenllm_v2/Nexesenex/Llama_3.1_8b_Hermedive_R1_V1.03/2afbc279-242a-4276-85f0-facd29c2d89b.json
new file mode 100644
index 000000000..18a502512
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new file mode 100644
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diff --git a/data/hfopenllm_v2/Nexesenex/Llama_3.1_8b_Mediver_V1.01/d03c73ca-7364-4517-aea4-f0ac564c49df.json b/data/hfopenllm_v2/Nexesenex/Llama_3.1_8b_Mediver_V1.01/d03c73ca-7364-4517-aea4-f0ac564c49df.json
new file mode 100644
index 000000000..9a356ff72
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diff --git a/data/hfopenllm_v2/Nexesenex/Llama_3.1_8b_Medusa_v1.01/1dd4b82a-ca80-4c9c-8800-f97ab2b9cbe7.json b/data/hfopenllm_v2/Nexesenex/Llama_3.1_8b_Medusa_v1.01/1dd4b82a-ca80-4c9c-8800-f97ab2b9cbe7.json
new file mode 100644
index 000000000..08ab1831d
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diff --git a/data/hfopenllm_v2/Nexesenex/Llama_3.1_8b_Smarteaz_0.2_R1/f2363099-c39a-4874-bf77-ccc0fa087680.json b/data/hfopenllm_v2/Nexesenex/Llama_3.1_8b_Smarteaz_0.2_R1/f2363099-c39a-4874-bf77-ccc0fa087680.json
new file mode 100644
index 000000000..8f98cf96c
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/Nexesenex/Llama_3.1_8b_Smarteaz_V1.01/596eeee8-3600-4f8a-8888-978b610eb2ca.json b/data/hfopenllm_v2/Nexesenex/Llama_3.1_8b_Smarteaz_V1.01/596eeee8-3600-4f8a-8888-978b610eb2ca.json
new file mode 100644
index 000000000..c7e67d274
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diff --git a/data/hfopenllm_v2/Nexesenex/Llama_3.1_8b_Stormeder_v1.04/595ddba1-c450-4b69-85b7-0e3118c8c6c7.json b/data/hfopenllm_v2/Nexesenex/Llama_3.1_8b_Stormeder_v1.04/595ddba1-c450-4b69-85b7-0e3118c8c6c7.json
new file mode 100644
index 000000000..0c3c8b8b1
--- /dev/null
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diff --git a/data/hfopenllm_v2/Nexesenex/Llama_3.1_8b_Typhoon_v1.03/64890314-bba0-4fb2-8c21-38b413cff4c8.json b/data/hfopenllm_v2/Nexesenex/Llama_3.1_8b_Typhoon_v1.03/64890314-bba0-4fb2-8c21-38b413cff4c8.json
new file mode 100644
index 000000000..30c9c3431
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diff --git a/data/hfopenllm_v2/Nexesenex/Llama_3.2_1b_AquaSyn_0.1/470b8b0d-fbaf-408c-a28e-57d1b294f8a8.json b/data/hfopenllm_v2/Nexesenex/Llama_3.2_1b_AquaSyn_0.1/470b8b0d-fbaf-408c-a28e-57d1b294f8a8.json
new file mode 100644
index 000000000..421f9e1fb
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/Nexesenex/Llama_3.2_1b_AquaSyn_0.11/00a1579e-8636-4eca-9a63-c0b067a5f3dc.json b/data/hfopenllm_v2/Nexesenex/Llama_3.2_1b_AquaSyn_0.11/00a1579e-8636-4eca-9a63-c0b067a5f3dc.json
new file mode 100644
index 000000000..9ccdfaea8
--- /dev/null
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Nexesenex/Llama_3.2_1b_Dolto_0.1/a52cc4c9-6d60-4083-ac77-591e247d86c9.json b/data/hfopenllm_v2/Nexesenex/Llama_3.2_1b_Dolto_0.1/a52cc4c9-6d60-4083-ac77-591e247d86c9.json
new file mode 100644
index 000000000..8e04a3f3b
--- /dev/null
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@@ -0,0 +1,132 @@
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diff --git a/data/hfopenllm_v2/Nexesenex/Llama_3.2_1b_Odyssea_V1.01/ac5c321a-d35a-4e0f-a1be-bcc0b7109f91.json b/data/hfopenllm_v2/Nexesenex/Llama_3.2_1b_Odyssea_V1.01/ac5c321a-d35a-4e0f-a1be-bcc0b7109f91.json
new file mode 100644
index 000000000..d44a7f415
--- /dev/null
+++ b/data/hfopenllm_v2/Nexesenex/Llama_3.2_1b_Odyssea_V1.01/ac5c321a-d35a-4e0f-a1be-bcc0b7109f91.json
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diff --git a/data/hfopenllm_v2/Nexesenex/Llama_3.2_1b_Odyssea_V1/c4d11b01-ae5b-4198-b102-07160f100a41.json b/data/hfopenllm_v2/Nexesenex/Llama_3.2_1b_Odyssea_V1/c4d11b01-ae5b-4198-b102-07160f100a41.json
new file mode 100644
index 000000000..4efe276e5
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/Nexesenex/Llama_3.2_1b_OpenTree_R1_0.1/19405ead-2263-4613-8053-43beeafb4bfc.json b/data/hfopenllm_v2/Nexesenex/Llama_3.2_1b_OpenTree_R1_0.1/19405ead-2263-4613-8053-43beeafb4bfc.json
new file mode 100644
index 000000000..d058404ed
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/Nexesenex/Llama_3.2_1b_OrcaSun_V1/6c698a60-a813-4be7-b55f-b684029b492d.json b/data/hfopenllm_v2/Nexesenex/Llama_3.2_1b_OrcaSun_V1/6c698a60-a813-4be7-b55f-b684029b492d.json
new file mode 100644
index 000000000..377ee7131
--- /dev/null
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diff --git a/data/hfopenllm_v2/Nexesenex/Llama_3.2_1b_RandomLego_RP_R1_0.1/b67c4a44-7787-45e2-b88c-5d7e8e496fa3.json b/data/hfopenllm_v2/Nexesenex/Llama_3.2_1b_RandomLego_RP_R1_0.1/b67c4a44-7787-45e2-b88c-5d7e8e496fa3.json
new file mode 100644
index 000000000..16d96b077
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diff --git a/data/hfopenllm_v2/Nexesenex/Llama_3.2_1b_SunOrca_V1/a20a529e-c52e-41b7-a8ee-909167048bfb.json b/data/hfopenllm_v2/Nexesenex/Llama_3.2_1b_SunOrca_V1/a20a529e-c52e-41b7-a8ee-909167048bfb.json
new file mode 100644
index 000000000..2c9dd24ef
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diff --git a/data/hfopenllm_v2/Nexesenex/Llama_3.2_1b_Sydonia_0.1/2735e6f4-839f-4ab1-8ede-3447891b1b26.json b/data/hfopenllm_v2/Nexesenex/Llama_3.2_1b_Sydonia_0.1/2735e6f4-839f-4ab1-8ede-3447891b1b26.json
new file mode 100644
index 000000000..794afd099
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diff --git a/data/hfopenllm_v2/Nexesenex/Llama_3.2_1b_Syneridol_0.2/e74e7e7f-8550-4cba-97cd-2626c82d6b29.json b/data/hfopenllm_v2/Nexesenex/Llama_3.2_1b_Syneridol_0.2/e74e7e7f-8550-4cba-97cd-2626c82d6b29.json
new file mode 100644
index 000000000..b39cc7c79
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/Nexesenex/Llama_3.2_1b_Synopsys_0.1/14f4c00d-8915-413d-8e85-79f395127682.json b/data/hfopenllm_v2/Nexesenex/Llama_3.2_1b_Synopsys_0.1/14f4c00d-8915-413d-8e85-79f395127682.json
new file mode 100644
index 000000000..0b4dbadaf
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "max_score": 1.0
+      },
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+      }
+    },
+    {
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+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3461
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+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Nexesenex/Llama_3.2_1b_Synopsys_0.11/9119b586-d3b2-4ce0-a243-d584e2087184.json b/data/hfopenllm_v2/Nexesenex/Llama_3.2_1b_Synopsys_0.11/9119b586-d3b2-4ce0-a243-d584e2087184.json
new file mode 100644
index 000000000..ff16ce048
--- /dev/null
+++ b/data/hfopenllm_v2/Nexesenex/Llama_3.2_1b_Synopsys_0.11/9119b586-d3b2-4ce0-a243-d584e2087184.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Nexesenex_Llama_3.2_1b_Synopsys_0.11/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama_3.2_1b_Synopsys_0.11",
+    "id": "Nexesenex/Llama_3.2_1b_Synopsys_0.11",
+    "developer": "Nexesenex",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 1.498
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2842
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3102
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0128
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2626
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3513
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1123
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Nexesenex/Llama_3.2_3b_Kermes_v1/629f3f1a-f8ee-4d1b-b604-7bbd35c6517b.json b/data/hfopenllm_v2/Nexesenex/Llama_3.2_3b_Kermes_v1/629f3f1a-f8ee-4d1b-b604-7bbd35c6517b.json
new file mode 100644
index 000000000..66193208d
--- /dev/null
+++ b/data/hfopenllm_v2/Nexesenex/Llama_3.2_3b_Kermes_v1/629f3f1a-f8ee-4d1b-b604-7bbd35c6517b.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Nexesenex_Llama_3.2_3b_Kermes_v1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama_3.2_3b_Kermes_v1",
+    "id": "Nexesenex/Llama_3.2_3b_Kermes_v1",
+    "developer": "Nexesenex",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 3.213
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4852
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.441
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.031
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2735
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.407
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2547
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Nexesenex/Llama_3.2_3b_Kermes_v2.1/a6ac828c-904b-413a-a5fa-a5ed06a28143.json b/data/hfopenllm_v2/Nexesenex/Llama_3.2_3b_Kermes_v2.1/a6ac828c-904b-413a-a5fa-a5ed06a28143.json
new file mode 100644
index 000000000..feb5d98bb
--- /dev/null
+++ b/data/hfopenllm_v2/Nexesenex/Llama_3.2_3b_Kermes_v2.1/a6ac828c-904b-413a-a5fa-a5ed06a28143.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Nexesenex_Llama_3.2_3b_Kermes_v2.1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama_3.2_3b_Kermes_v2.1",
+    "id": "Nexesenex/Llama_3.2_3b_Kermes_v2.1",
+    "developer": "Nexesenex",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 3.213
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5584
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4464
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0521
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2794
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3964
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2692
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Nexesenex/Llama_3.2_3b_Kermes_v2/251a3ef9-c7ae-4d79-8a60-4bc021a3f001.json b/data/hfopenllm_v2/Nexesenex/Llama_3.2_3b_Kermes_v2/251a3ef9-c7ae-4d79-8a60-4bc021a3f001.json
new file mode 100644
index 000000000..294b9bac9
--- /dev/null
+++ b/data/hfopenllm_v2/Nexesenex/Llama_3.2_3b_Kermes_v2/251a3ef9-c7ae-4d79-8a60-4bc021a3f001.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Nexesenex_Llama_3.2_3b_Kermes_v2/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama_3.2_3b_Kermes_v2",
+    "id": "Nexesenex/Llama_3.2_3b_Kermes_v2",
+    "developer": "Nexesenex",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 3.213
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5754
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4455
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0544
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2651
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3778
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2734
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Nexesenex/Nemotron_W_4b_Halo_0.1/243b045a-8442-41fd-a483-e4e25b771048.json b/data/hfopenllm_v2/Nexesenex/Nemotron_W_4b_Halo_0.1/243b045a-8442-41fd-a483-e4e25b771048.json
deleted file mode 100644
index b06dc96a9..000000000
--- a/data/hfopenllm_v2/Nexesenex/Nemotron_W_4b_Halo_0.1/243b045a-8442-41fd-a483-e4e25b771048.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
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new file mode 100644
index 000000000..d9a752984
--- /dev/null
+++ b/data/hfopenllm_v2/Nexesenex/Nemotron_W_4b_Halo_0.1/962b48a3-23d7-4104-b34d-4e5c2af31d58.json
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Nexesenex/Nemotron_W_4b_MagLight_0.1/2f3f0dcb-a62d-44bd-b86d-c1f403d5b833.json b/data/hfopenllm_v2/Nexesenex/Nemotron_W_4b_MagLight_0.1/2f3f0dcb-a62d-44bd-b86d-c1f403d5b833.json
deleted file mode 100644
index 9f56c199d..000000000
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+++ /dev/null
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diff --git a/data/hfopenllm_v2/Nexesenex/Nemotron_W_4b_MagLight_0.1/e4b0be31-6f9a-4a57-b433-e561da9bd827.json b/data/hfopenllm_v2/Nexesenex/Nemotron_W_4b_MagLight_0.1/e4b0be31-6f9a-4a57-b433-e561da9bd827.json
new file mode 100644
index 000000000..7186f9001
--- /dev/null
+++ b/data/hfopenllm_v2/Nexesenex/Nemotron_W_4b_MagLight_0.1/e4b0be31-6f9a-4a57-b433-e561da9bd827.json
@@ -0,0 +1,132 @@
+{
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+    "source_type": "documentation",
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+    "id": "Nexesenex/Nemotron_W_4b_MagLight_0.1",
+    "developer": "Nexesenex",
+    "inference_platform": "unknown",
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+      },
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+        "score_type": "continuous",
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+        "max_score": 1.0
+      },
+      "score_details": {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
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+        "evaluation_description": "Accuracy on MMLU-PRO",
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Nexesenex/Qwen_2.5_3b_Smarteaz_0.01a/9a31f208-b7d8-4baa-b96e-99926ecb35af.json b/data/hfopenllm_v2/Nexesenex/Qwen_2.5_3b_Smarteaz_0.01a/9a31f208-b7d8-4baa-b96e-99926ecb35af.json
new file mode 100644
index 000000000..8ea2f8444
--- /dev/null
+++ b/data/hfopenllm_v2/Nexesenex/Qwen_2.5_3b_Smarteaz_0.01a/9a31f208-b7d8-4baa-b96e-99926ecb35af.json
@@ -0,0 +1,132 @@
+{
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+  "source_metadata": {
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+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
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+    "id": "Nexesenex/Qwen_2.5_3b_Smarteaz_0.01a",
+    "developer": "Nexesenex",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 3.085
+    }
+  },
+  "evaluation_results": [
+    {
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+        "hf_repo": "SaylorTwift/bbh"
+      },
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+        "score_type": "continuous",
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+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4637
+      }
+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "max_score": 1.0
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+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
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+        "max_score": 1.0
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+        "max_score": 1.0
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+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Nexesenex/pankajmathur_orca_mini_v9_6_1B-instruct-Abliterated-LPL/318afc06-f294-4253-b1c9-173a7f56083b.json b/data/hfopenllm_v2/Nexesenex/pankajmathur_orca_mini_v9_6_1B-instruct-Abliterated-LPL/318afc06-f294-4253-b1c9-173a7f56083b.json
deleted file mode 100644
index a81f62a4c..000000000
--- a/data/hfopenllm_v2/Nexesenex/pankajmathur_orca_mini_v9_6_1B-instruct-Abliterated-LPL/318afc06-f294-4253-b1c9-173a7f56083b.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-    "source_type": "documentation"
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-  "model_info": {
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-    "developer": "Nexesenex",
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-    "id": "Nexesenex/pankajmathur_orca_mini_v9_6_1B-instruct-Abliterated-LPL",
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-}
diff --git a/data/hfopenllm_v2/Nexesenex/pankajmathur_orca_mini_v9_6_1B-instruct-Abliterated-LPL/8d933df1-60cb-471d-bfc3-b11c93150203.json b/data/hfopenllm_v2/Nexesenex/pankajmathur_orca_mini_v9_6_1B-instruct-Abliterated-LPL/8d933df1-60cb-471d-bfc3-b11c93150203.json
new file mode 100644
index 000000000..494bbaf5c
--- /dev/null
+++ b/data/hfopenllm_v2/Nexesenex/pankajmathur_orca_mini_v9_6_1B-instruct-Abliterated-LPL/8d933df1-60cb-471d-bfc3-b11c93150203.json
@@ -0,0 +1,132 @@
+{
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+  "evaluation_id": "hfopenllm_v2/Nexesenex_pankajmathur_orca_mini_v9_6_1B-instruct-Abliterated-LPL/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "pankajmathur_orca_mini_v9_6_1B-instruct-Abliterated-LPL",
+    "id": "Nexesenex/pankajmathur_orca_mini_v9_6_1B-instruct-Abliterated-LPL",
+    "developer": "Nexesenex",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 1.236
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.589
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3562
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2668
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3396
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1803
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Nexusflow/NexusRaven-V2-13B/35315c3a-ec06-433a-b3fa-ae7a4a59b7ea.json b/data/hfopenllm_v2/Nexusflow/NexusRaven-V2-13B/35315c3a-ec06-433a-b3fa-ae7a4a59b7ea.json
new file mode 100644
index 000000000..f72a2ef92
--- /dev/null
+++ b/data/hfopenllm_v2/Nexusflow/NexusRaven-V2-13B/35315c3a-ec06-433a-b3fa-ae7a4a59b7ea.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Nexusflow_NexusRaven-V2-13B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "NexusRaven-V2-13B",
+    "id": "Nexusflow/NexusRaven-V2-13B",
+    "developer": "Nexusflow",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 13.0
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1791
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3949
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0295
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+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2601
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
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+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3737
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+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Nexusflow/NexusRaven-V2-13B/f5e5662e-803e-4f1f-82e7-14a2a189ed6d.json b/data/hfopenllm_v2/Nexusflow/NexusRaven-V2-13B/f5e5662e-803e-4f1f-82e7-14a2a189ed6d.json
deleted file mode 100644
index ca8a7eea7..000000000
--- a/data/hfopenllm_v2/Nexusflow/NexusRaven-V2-13B/f5e5662e-803e-4f1f-82e7-14a2a189ed6d.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/Nexusflow_NexusRaven-V2-13B/1762652579.782948",
-  "retrieved_timestamp": "1762652579.7829492",
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-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
-    "name": "Nexusflow/NexusRaven-V2-13B",
-    "developer": "Nexusflow",
-    "inference_platform": "unknown",
-    "id": "Nexusflow/NexusRaven-V2-13B",
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diff --git a/data/hfopenllm_v2/NikolaSigmoid/AceMath-1.5B-Instruct-1epoch/0cf3db2f-9b23-4602-ac92-265bafd36410.json b/data/hfopenllm_v2/NikolaSigmoid/AceMath-1.5B-Instruct-1epoch/0cf3db2f-9b23-4602-ac92-265bafd36410.json
deleted file mode 100644
index fe9498669..000000000
--- a/data/hfopenllm_v2/NikolaSigmoid/AceMath-1.5B-Instruct-1epoch/0cf3db2f-9b23-4602-ac92-265bafd36410.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
-    "name": "NikolaSigmoid/AceMath-1.5B-Instruct-1epoch",
-    "developer": "NikolaSigmoid",
-    "inference_platform": "unknown",
-    "id": "NikolaSigmoid/AceMath-1.5B-Instruct-1epoch",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 1.791
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-        "max_score": 1
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-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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diff --git a/data/hfopenllm_v2/NikolaSigmoid/AceMath-1.5B-Instruct-1epoch/3530db9a-0d61-4cf8-9fff-b15f6488c845.json b/data/hfopenllm_v2/NikolaSigmoid/AceMath-1.5B-Instruct-1epoch/3530db9a-0d61-4cf8-9fff-b15f6488c845.json
new file mode 100644
index 000000000..24a1eb210
--- /dev/null
+++ b/data/hfopenllm_v2/NikolaSigmoid/AceMath-1.5B-Instruct-1epoch/3530db9a-0d61-4cf8-9fff-b15f6488c845.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/NikolaSigmoid_AceMath-1.5B-Instruct-1epoch/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "AceMath-1.5B-Instruct-1epoch",
+    "id": "NikolaSigmoid/AceMath-1.5B-Instruct-1epoch",
+    "developer": "NikolaSigmoid",
+    "inference_platform": "unknown",
+    "additional_details": {
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+    }
+  },
+  "evaluation_results": [
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+        "source_type": "hf_dataset",
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+      },
+      "metric_config": {
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+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+      "score_details": {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
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+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2777
+      }
+    },
+    {
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+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3925
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
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+        "max_score": 1.0
+      },
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+        "score": 0.2376
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/NikolaSigmoid/AceMath-1.5B-Instruct-dolphin-r1-200/7d9901e0-eafe-4d49-a5bb-fab059708bcb.json b/data/hfopenllm_v2/NikolaSigmoid/AceMath-1.5B-Instruct-dolphin-r1-200/7d9901e0-eafe-4d49-a5bb-fab059708bcb.json
new file mode 100644
index 000000000..797f0d872
--- /dev/null
+++ b/data/hfopenllm_v2/NikolaSigmoid/AceMath-1.5B-Instruct-dolphin-r1-200/7d9901e0-eafe-4d49-a5bb-fab059708bcb.json
@@ -0,0 +1,132 @@
+{
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+  "evaluation_id": "hfopenllm_v2/NikolaSigmoid_AceMath-1.5B-Instruct-dolphin-r1-200/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "AceMath-1.5B-Instruct-dolphin-r1-200",
+    "id": "NikolaSigmoid/AceMath-1.5B-Instruct-dolphin-r1-200",
+    "developer": "NikolaSigmoid",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 0.928
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1808
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2815
+      }
+    },
+    {
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+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "max_score": 1.0
+      },
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.375
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1143
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/NikolaSigmoid/AceMath-1.5B-Instruct-dolphin-r1-200/93f56942-30d8-4a0f-af8d-901fb264436c.json b/data/hfopenllm_v2/NikolaSigmoid/AceMath-1.5B-Instruct-dolphin-r1-200/93f56942-30d8-4a0f-af8d-901fb264436c.json
deleted file mode 100644
index ca66c2d72..000000000
--- a/data/hfopenllm_v2/NikolaSigmoid/AceMath-1.5B-Instruct-dolphin-r1-200/93f56942-30d8-4a0f-af8d-901fb264436c.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/NikolaSigmoid_AceMath-1.5B-Instruct-dolphin-r1-200/1762652579.783446",
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-  "source_data": [
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-  ],
-  "source_metadata": {
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
-    "name": "NikolaSigmoid/AceMath-1.5B-Instruct-dolphin-r1-200",
-    "developer": "NikolaSigmoid",
-    "inference_platform": "unknown",
-    "id": "NikolaSigmoid/AceMath-1.5B-Instruct-dolphin-r1-200",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 0.928
-    }
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-      "evaluation_name": "IFEval",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-      },
-      "score_details": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
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-      },
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-    },
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-    },
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-        "score_type": "continuous",
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-        "max_score": 1
-      },
-      "score_details": {
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-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37495833333333334
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
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-    }
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-}
diff --git a/data/hfopenllm_v2/NikolaSigmoid/DeepSeek-R1-Distill-Qwen-1.5B-500/ee7f9025-bb2c-4902-b8e2-bfac2b63d2fd.json b/data/hfopenllm_v2/NikolaSigmoid/DeepSeek-R1-Distill-Qwen-1.5B-500/ee7f9025-bb2c-4902-b8e2-bfac2b63d2fd.json
new file mode 100644
index 000000000..149206bb9
--- /dev/null
+++ b/data/hfopenllm_v2/NikolaSigmoid/DeepSeek-R1-Distill-Qwen-1.5B-500/ee7f9025-bb2c-4902-b8e2-bfac2b63d2fd.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/NikolaSigmoid_DeepSeek-R1-Distill-Qwen-1.5B-500/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "DeepSeek-R1-Distill-Qwen-1.5B-500",
+    "id": "NikolaSigmoid/DeepSeek-R1-Distill-Qwen-1.5B-500",
+    "developer": "NikolaSigmoid",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 1.157
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1749
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2602
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2458
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.338
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1125
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/NikolaSigmoid/acemath-200/4414a96e-0664-4531-9c0f-3eb4a062fbe2.json b/data/hfopenllm_v2/NikolaSigmoid/acemath-200/4414a96e-0664-4531-9c0f-3eb4a062fbe2.json
deleted file mode 100644
index 52041e0e7..000000000
--- a/data/hfopenllm_v2/NikolaSigmoid/acemath-200/4414a96e-0664-4531-9c0f-3eb4a062fbe2.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/NikolaSigmoid_acemath-200/1762652579.783974",
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-  "source_data": [
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-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "NikolaSigmoid/acemath-200",
-    "developer": "NikolaSigmoid",
-    "inference_platform": "unknown",
-    "id": "NikolaSigmoid/acemath-200",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
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-    }
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-  "evaluation_results": [
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-        "min_score": 0,
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-    {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.23761635638297873
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/NikolaSigmoid/acemath-200/6157f79e-2673-4ad6-99d7-e5cf5e4e1db2.json b/data/hfopenllm_v2/NikolaSigmoid/acemath-200/6157f79e-2673-4ad6-99d7-e5cf5e4e1db2.json
new file mode 100644
index 000000000..947e95059
--- /dev/null
+++ b/data/hfopenllm_v2/NikolaSigmoid/acemath-200/6157f79e-2673-4ad6-99d7-e5cf5e4e1db2.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/NikolaSigmoid_acemath-200/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "acemath-200",
+    "id": "NikolaSigmoid/acemath-200",
+    "developer": "NikolaSigmoid",
+    "inference_platform": "unknown",
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new file mode 100644
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new file mode 100644
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new file mode 100644
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new file mode 100644
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diff --git a/data/hfopenllm_v2/Nitral-AI/Captain-Eris-BMO_Violent-GRPO-v0.420/e841483e-042b-4a2a-8dbc-9ed7529f7618.json b/data/hfopenllm_v2/Nitral-AI/Captain-Eris-BMO_Violent-GRPO-v0.420/e841483e-042b-4a2a-8dbc-9ed7529f7618.json
deleted file mode 100644
index 77766be56..000000000
--- a/data/hfopenllm_v2/Nitral-AI/Captain-Eris-BMO_Violent-GRPO-v0.420/e841483e-042b-4a2a-8dbc-9ed7529f7618.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Nitral-AI_Captain-Eris-BMO_Violent-GRPO-v0.420/1762652579.784868",
-  "retrieved_timestamp": "1762652579.7848692",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Nitral-AI/Captain-Eris-BMO_Violent-GRPO-v0.420",
-    "developer": "Nitral-AI",
-    "inference_platform": "unknown",
-    "id": "Nitral-AI/Captain-Eris-BMO_Violent-GRPO-v0.420",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 12.248
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6312805578088361
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5078530730075063
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.13141993957703926
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30956375838926176
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4228020833333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.359624335106383
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Nitral-AI/Captain-Eris_BMO-Violent-12B/95ebc5b8-a541-4fca-9e7c-692720e73362.json b/data/hfopenllm_v2/Nitral-AI/Captain-Eris_BMO-Violent-12B/95ebc5b8-a541-4fca-9e7c-692720e73362.json
new file mode 100644
index 000000000..52a63c6ba
--- /dev/null
+++ b/data/hfopenllm_v2/Nitral-AI/Captain-Eris_BMO-Violent-12B/95ebc5b8-a541-4fca-9e7c-692720e73362.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Nitral-AI_Captain-Eris_BMO-Violent-12B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Captain-Eris_BMO-Violent-12B",
+    "id": "Nitral-AI/Captain-Eris_BMO-Violent-12B",
+    "developer": "Nitral-AI",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 12.248
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6152
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5104
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1367
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3096
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4255
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3571
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Nitral-AI/Captain-Eris_BMO-Violent-12B/ebcd5d63-5c91-41d1-b9e2-0bafe7170000.json b/data/hfopenllm_v2/Nitral-AI/Captain-Eris_BMO-Violent-12B/ebcd5d63-5c91-41d1-b9e2-0bafe7170000.json
deleted file mode 100644
index 79c3fa9cc..000000000
--- a/data/hfopenllm_v2/Nitral-AI/Captain-Eris_BMO-Violent-12B/ebcd5d63-5c91-41d1-b9e2-0bafe7170000.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Nitral-AI_Captain-Eris_BMO-Violent-12B/1762652579.785123",
-  "retrieved_timestamp": "1762652579.785124",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Nitral-AI/Captain-Eris_BMO-Violent-12B",
-    "developer": "Nitral-AI",
-    "inference_platform": "unknown",
-    "id": "Nitral-AI/Captain-Eris_BMO-Violent-12B",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 12.248
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.615218730745533
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5104372825851065
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.13670694864048338
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30956375838926176
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42553124999999997
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.35713098404255317
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Nitral-AI/Captain-Eris_Violet-GRPO-v0.420/09a2508d-a171-493f-9ff2-e7f375815c91.json b/data/hfopenllm_v2/Nitral-AI/Captain-Eris_Violet-GRPO-v0.420/09a2508d-a171-493f-9ff2-e7f375815c91.json
new file mode 100644
index 000000000..4d63cdc2b
--- /dev/null
+++ b/data/hfopenllm_v2/Nitral-AI/Captain-Eris_Violet-GRPO-v0.420/09a2508d-a171-493f-9ff2-e7f375815c91.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Nitral-AI_Captain-Eris_Violet-GRPO-v0.420/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Captain-Eris_Violet-GRPO-v0.420",
+    "id": "Nitral-AI/Captain-Eris_Violet-GRPO-v0.420",
+    "developer": "Nitral-AI",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 12.248
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6262
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5159
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.108
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2987
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4279
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3535
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Nitral-AI/Captain-Eris_Violet-GRPO-v0.420/cf030461-1234-48ce-a025-ba0f52cdf191.json b/data/hfopenllm_v2/Nitral-AI/Captain-Eris_Violet-GRPO-v0.420/cf030461-1234-48ce-a025-ba0f52cdf191.json
deleted file mode 100644
index 84fd3c6e9..000000000
--- a/data/hfopenllm_v2/Nitral-AI/Captain-Eris_Violet-GRPO-v0.420/cf030461-1234-48ce-a025-ba0f52cdf191.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Nitral-AI_Captain-Eris_Violet-GRPO-v0.420/1762652579.785343",
-  "retrieved_timestamp": "1762652579.785344",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Nitral-AI/Captain-Eris_Violet-GRPO-v0.420",
-    "developer": "Nitral-AI",
-    "inference_platform": "unknown",
-    "id": "Nitral-AI/Captain-Eris_Violet-GRPO-v0.420",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 12.248
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6261597007052399
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.515921407165298
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.10800604229607251
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2986577181208054
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42791666666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.35347406914893614
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Nitral-AI/Captain-Eris_Violet-V0.420-12B/12a4a921-5859-4fd6-9d64-677a7d8ef696.json b/data/hfopenllm_v2/Nitral-AI/Captain-Eris_Violet-V0.420-12B/12a4a921-5859-4fd6-9d64-677a7d8ef696.json
new file mode 100644
index 000000000..8679f45f6
--- /dev/null
+++ b/data/hfopenllm_v2/Nitral-AI/Captain-Eris_Violet-V0.420-12B/12a4a921-5859-4fd6-9d64-677a7d8ef696.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Nitral-AI_Captain-Eris_Violet-V0.420-12B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Captain-Eris_Violet-V0.420-12B",
+    "id": "Nitral-AI/Captain-Eris_Violet-V0.420-12B",
+    "developer": "Nitral-AI",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 12.248
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4339
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5478
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1073
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3112
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4331
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3723
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Nitral-AI/Captain-Eris_Violet-V0.420-12B/ad87ba77-99a9-463f-aea3-1d29fc0317b0.json b/data/hfopenllm_v2/Nitral-AI/Captain-Eris_Violet-V0.420-12B/ad87ba77-99a9-463f-aea3-1d29fc0317b0.json
deleted file mode 100644
index eccb3161a..000000000
--- a/data/hfopenllm_v2/Nitral-AI/Captain-Eris_Violet-V0.420-12B/ad87ba77-99a9-463f-aea3-1d29fc0317b0.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Nitral-AI_Captain-Eris_Violet-V0.420-12B/1762652579.785556",
-  "retrieved_timestamp": "1762652579.785557",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Nitral-AI/Captain-Eris_Violet-V0.420-12B",
-    "developer": "Nitral-AI",
-    "inference_platform": "unknown",
-    "id": "Nitral-AI/Captain-Eris_Violet-V0.420-12B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 12.248
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.43391866913123844
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-    },
-    {
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-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
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-        "lower_is_better": false,
-        "score_type": "continuous",
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-        "max_score": 1
-      },
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-        "score": 0.10725075528700906
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-    },
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-        "lower_is_better": false,
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-        "min_score": 0,
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-      },
-      "score_details": {
-        "score": 0.311241610738255
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-    },
-    {
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-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.43306249999999996
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3722573138297872
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Nitral-AI/Captain_BMO-12B/6fed7e5b-9692-40f7-913e-fc3b57b8c72a.json b/data/hfopenllm_v2/Nitral-AI/Captain_BMO-12B/6fed7e5b-9692-40f7-913e-fc3b57b8c72a.json
deleted file mode 100644
index e7d604542..000000000
--- a/data/hfopenllm_v2/Nitral-AI/Captain_BMO-12B/6fed7e5b-9692-40f7-913e-fc3b57b8c72a.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Nitral-AI_Captain_BMO-12B/1762652579.7857668",
-  "retrieved_timestamp": "1762652579.7857668",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Nitral-AI/Captain_BMO-12B",
-    "developer": "Nitral-AI",
-    "inference_platform": "unknown",
-    "id": "Nitral-AI/Captain_BMO-12B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 12.248
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4750595087700634
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5285960650424973
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.13972809667673716
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3196308724832215
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37480208333333337
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3568816489361702
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Nitral-AI/Captain_BMO-12B/b79f12d0-cdfc-4c9d-a88b-40612dcbf64d.json b/data/hfopenllm_v2/Nitral-AI/Captain_BMO-12B/b79f12d0-cdfc-4c9d-a88b-40612dcbf64d.json
new file mode 100644
index 000000000..ab08d38f3
--- /dev/null
+++ b/data/hfopenllm_v2/Nitral-AI/Captain_BMO-12B/b79f12d0-cdfc-4c9d-a88b-40612dcbf64d.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Nitral-AI_Captain_BMO-12B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Captain_BMO-12B",
+    "id": "Nitral-AI/Captain_BMO-12B",
+    "developer": "Nitral-AI",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 12.248
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4751
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5286
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1397
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3196
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3748
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3569
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Nitral-AI/Hathor_Stable-v0.2-L3-8B/2bb06e2f-9aee-4ac4-b9a6-fe537c2c9890.json b/data/hfopenllm_v2/Nitral-AI/Hathor_Stable-v0.2-L3-8B/2bb06e2f-9aee-4ac4-b9a6-fe537c2c9890.json
deleted file mode 100644
index 242fec305..000000000
--- a/data/hfopenllm_v2/Nitral-AI/Hathor_Stable-v0.2-L3-8B/2bb06e2f-9aee-4ac4-b9a6-fe537c2c9890.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Nitral-AI_Hathor_Stable-v0.2-L3-8B/1762652579.7859662",
-  "retrieved_timestamp": "1762652579.785967",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Nitral-AI/Hathor_Stable-v0.2-L3-8B",
-    "developer": "Nitral-AI",
-    "inference_platform": "unknown",
-    "id": "Nitral-AI/Hathor_Stable-v0.2-L3-8B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7174840534226963
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
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-        "max_score": 1
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-      "score_details": {
-        "score": 0.28691275167785235
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3780625
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.36959773936170215
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Nitral-AI/Hathor_Stable-v0.2-L3-8B/d162cf7c-3ef4-420f-aab4-789a98b1195a.json b/data/hfopenllm_v2/Nitral-AI/Hathor_Stable-v0.2-L3-8B/d162cf7c-3ef4-420f-aab4-789a98b1195a.json
new file mode 100644
index 000000000..74bd3f7c0
--- /dev/null
+++ b/data/hfopenllm_v2/Nitral-AI/Hathor_Stable-v0.2-L3-8B/d162cf7c-3ef4-420f-aab4-789a98b1195a.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Nitral-AI_Hathor_Stable-v0.2-L3-8B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Hathor_Stable-v0.2-L3-8B",
+    "id": "Nitral-AI/Hathor_Stable-v0.2-L3-8B",
+    "developer": "Nitral-AI",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7175
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
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+        "hf_repo": "TIGER-Lab/MMLU-Pro"
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Nitral-AI/Hathor_Tahsin-L3-8B-v0.85/7e49018e-5e2d-4cdb-be5b-2ac04ec84bf5.json b/data/hfopenllm_v2/Nitral-AI/Hathor_Tahsin-L3-8B-v0.85/7e49018e-5e2d-4cdb-be5b-2ac04ec84bf5.json
new file mode 100644
index 000000000..b03d999be
--- /dev/null
+++ b/data/hfopenllm_v2/Nitral-AI/Hathor_Tahsin-L3-8B-v0.85/7e49018e-5e2d-4cdb-be5b-2ac04ec84bf5.json
@@ -0,0 +1,132 @@
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+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
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+    "evaluator_relationship": "third_party"
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+    "id": "Nitral-AI/Hathor_Tahsin-L3-8B-v0.85",
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+        "source_type": "hf_dataset",
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+        "hf_repo": "SaylorTwift/bbh"
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+        "lower_is_better": false,
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+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+    {
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+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
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+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
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+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Nitral-AI/Hathor_Tahsin-L3-8B-v0.85/a73461e6-a1f4-43c9-9a0f-f03c9be46276.json b/data/hfopenllm_v2/Nitral-AI/Hathor_Tahsin-L3-8B-v0.85/a73461e6-a1f4-43c9-9a0f-f03c9be46276.json
deleted file mode 100644
index a91c92ff6..000000000
--- a/data/hfopenllm_v2/Nitral-AI/Hathor_Tahsin-L3-8B-v0.85/a73461e6-a1f4-43c9-9a0f-f03c9be46276.json
+++ /dev/null
@@ -1,105 +0,0 @@
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-    "source_name": "HF Open LLM v2",
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diff --git a/data/hfopenllm_v2/Nitral-AI/Nera_Noctis-12B/24677f2a-ea89-4289-bcb6-13699de9782f.json b/data/hfopenllm_v2/Nitral-AI/Nera_Noctis-12B/24677f2a-ea89-4289-bcb6-13699de9782f.json
new file mode 100644
index 000000000..2cbdf842f
--- /dev/null
+++ b/data/hfopenllm_v2/Nitral-AI/Nera_Noctis-12B/24677f2a-ea89-4289-bcb6-13699de9782f.json
@@ -0,0 +1,132 @@
+{
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+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Nera_Noctis-12B",
+    "id": "Nitral-AI/Nera_Noctis-12B",
+    "developer": "Nitral-AI",
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+    "additional_details": {
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+      "architecture": "MistralForCausalLM",
+      "params_billions": 12.248
+    }
+  },
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+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
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+        "source_type": "hf_dataset",
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+      },
+      "metric_config": {
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+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5194
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
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+      },
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+    },
+    {
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
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+        "lower_is_better": false,
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+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
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+      "metric_config": {
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+      "score_details": {
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+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
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+        "max_score": 1.0
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+      "score_details": {
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+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Nitral-AI/Nera_Noctis-12B/2f5caa38-56e9-4740-baca-22fb02e57150.json b/data/hfopenllm_v2/Nitral-AI/Nera_Noctis-12B/2f5caa38-56e9-4740-baca-22fb02e57150.json
deleted file mode 100644
index 010662639..000000000
--- a/data/hfopenllm_v2/Nitral-AI/Nera_Noctis-12B/2f5caa38-56e9-4740-baca-22fb02e57150.json
+++ /dev/null
@@ -1,105 +0,0 @@
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-}
diff --git a/data/hfopenllm_v2/Nohobby/MS-Schisandra-22B-v0.1/3e09df3c-2224-4a29-8e55-18a485db2b25.json b/data/hfopenllm_v2/Nohobby/MS-Schisandra-22B-v0.1/3e09df3c-2224-4a29-8e55-18a485db2b25.json
new file mode 100644
index 000000000..a6a01b8ab
--- /dev/null
+++ b/data/hfopenllm_v2/Nohobby/MS-Schisandra-22B-v0.1/3e09df3c-2224-4a29-8e55-18a485db2b25.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Nohobby_MS-Schisandra-22B-v0.1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "MS-Schisandra-22B-v0.1",
+    "id": "Nohobby/MS-Schisandra-22B-v0.1",
+    "developer": "Nohobby",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
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+  "evaluation_results": [
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+      "source_data": {
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+        "hf_repo": "google/IFEval"
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+      "metric_config": {
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+        "score_type": "continuous",
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+        "max_score": 1.0
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+    {
+      "evaluation_name": "BBH",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
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+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.579
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2228
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3322
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3928
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4096
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Nohobby/MS-Schisandra-22B-v0.1/9836e2c7-30df-421d-bf02-d4434f97d990.json b/data/hfopenllm_v2/Nohobby/MS-Schisandra-22B-v0.1/9836e2c7-30df-421d-bf02-d4434f97d990.json
deleted file mode 100644
index 65237560d..000000000
--- a/data/hfopenllm_v2/Nohobby/MS-Schisandra-22B-v0.1/9836e2c7-30df-421d-bf02-d4434f97d990.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Nohobby_MS-Schisandra-22B-v0.1/1762652579.786606",
-  "retrieved_timestamp": "1762652579.786607",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Nohobby/MS-Schisandra-22B-v0.1",
-    "developer": "Nohobby",
-    "inference_platform": "unknown",
-    "id": "Nohobby/MS-Schisandra-22B-v0.1",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 22.247
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6331289866443259
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5789949714896523
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.22280966767371602
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.33221476510067116
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.39284375
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4095744680851064
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Nohobby/MS-Schisandra-22B-v0.2/9a263094-fb31-43b9-9307-6ae5f64f82c0.json b/data/hfopenllm_v2/Nohobby/MS-Schisandra-22B-v0.2/9a263094-fb31-43b9-9307-6ae5f64f82c0.json
deleted file mode 100644
index 61c7e3c36..000000000
--- a/data/hfopenllm_v2/Nohobby/MS-Schisandra-22B-v0.2/9a263094-fb31-43b9-9307-6ae5f64f82c0.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Nohobby_MS-Schisandra-22B-v0.2/1762652579.78686",
-  "retrieved_timestamp": "1762652579.786861",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Nohobby/MS-Schisandra-22B-v0.2",
-    "developer": "Nohobby",
-    "inference_platform": "unknown",
-    "id": "Nohobby/MS-Schisandra-22B-v0.2",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 22.247
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6382997114323329
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5841215984231857
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
-        "score": 0.20317220543806647
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.33557046979865773
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.40747916666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4136469414893617
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Nohobby/MS-Schisandra-22B-v0.2/cc0bd236-8fc4-43d3-a18f-4b2afb112946.json b/data/hfopenllm_v2/Nohobby/MS-Schisandra-22B-v0.2/cc0bd236-8fc4-43d3-a18f-4b2afb112946.json
new file mode 100644
index 000000000..c97104188
--- /dev/null
+++ b/data/hfopenllm_v2/Nohobby/MS-Schisandra-22B-v0.2/cc0bd236-8fc4-43d3-a18f-4b2afb112946.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Nohobby_MS-Schisandra-22B-v0.2/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "MS-Schisandra-22B-v0.2",
+    "id": "Nohobby/MS-Schisandra-22B-v0.2",
+    "developer": "Nohobby",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 22.247
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6383
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5841
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2032
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3356
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4075
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4136
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Norquinal/Alpha/5afd4c0f-b61d-452f-8c48-d298780d91d5.json b/data/hfopenllm_v2/Norquinal/Alpha/5afd4c0f-b61d-452f-8c48-d298780d91d5.json
new file mode 100644
index 000000000..a242e53cd
--- /dev/null
+++ b/data/hfopenllm_v2/Norquinal/Alpha/5afd4c0f-b61d-452f-8c48-d298780d91d5.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Norquinal_Alpha/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Alpha",
+    "id": "Norquinal/Alpha",
+    "developer": "Norquinal",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2803
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3374
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0574
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2651
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3631
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3003
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Norquinal/Alpha/6ce53368-e6b5-45a1-a997-ca5468f27c13.json b/data/hfopenllm_v2/Norquinal/Alpha/6ce53368-e6b5-45a1-a997-ca5468f27c13.json
deleted file mode 100644
index c7aef5c34..000000000
--- a/data/hfopenllm_v2/Norquinal/Alpha/6ce53368-e6b5-45a1-a997-ca5468f27c13.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Norquinal_Alpha/1762652579.787071",
-  "retrieved_timestamp": "1762652579.787072",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Norquinal/Alpha",
-    "developer": "Norquinal",
-    "inference_platform": "unknown",
-    "id": "Norquinal/Alpha",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2802951723648808
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3373652507108038
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.05740181268882175
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2651006711409396
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.36308333333333337
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30028257978723405
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Norquinal/Bravo/dbdae48e-5023-453f-b15f-cf779068e030.json b/data/hfopenllm_v2/Norquinal/Bravo/dbdae48e-5023-453f-b15f-cf779068e030.json
deleted file mode 100644
index afc8f15da..000000000
--- a/data/hfopenllm_v2/Norquinal/Bravo/dbdae48e-5023-453f-b15f-cf779068e030.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Norquinal_Bravo/1762652579.787321",
-  "retrieved_timestamp": "1762652579.787322",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Norquinal/Bravo",
-    "developer": "Norquinal",
-    "inference_platform": "unknown",
-    "id": "Norquinal/Bravo",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3024519386339357
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3558431980261287
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.05740181268882175
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.28187919463087246
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.38686458333333335
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.312749335106383
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Norquinal/Bravo/eac52141-4fd8-4e21-9c78-920ab8933e5a.json b/data/hfopenllm_v2/Norquinal/Bravo/eac52141-4fd8-4e21-9c78-920ab8933e5a.json
new file mode 100644
index 000000000..4a140030a
--- /dev/null
+++ b/data/hfopenllm_v2/Norquinal/Bravo/eac52141-4fd8-4e21-9c78-920ab8933e5a.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Norquinal_Bravo/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Bravo",
+    "id": "Norquinal/Bravo",
+    "developer": "Norquinal",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3025
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3558
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0574
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2819
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3869
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3127
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Norquinal/Charlie/31f784e4-bded-48d8-b7a6-7936b5d21d9e.json b/data/hfopenllm_v2/Norquinal/Charlie/31f784e4-bded-48d8-b7a6-7936b5d21d9e.json
deleted file mode 100644
index ad49384f8..000000000
--- a/data/hfopenllm_v2/Norquinal/Charlie/31f784e4-bded-48d8-b7a6-7936b5d21d9e.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Norquinal_Charlie/1762652579.787528",
-  "retrieved_timestamp": "1762652579.787528",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Norquinal/Charlie",
-    "developer": "Norquinal",
-    "inference_platform": "unknown",
-    "id": "Norquinal/Charlie",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3060989286205047
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3515288346438244
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.0581570996978852
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2709731543624161
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3736875
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30925864361702127
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Norquinal/Charlie/8449837f-64ac-4293-b1f8-210e62779202.json b/data/hfopenllm_v2/Norquinal/Charlie/8449837f-64ac-4293-b1f8-210e62779202.json
new file mode 100644
index 000000000..eb7553fa4
--- /dev/null
+++ b/data/hfopenllm_v2/Norquinal/Charlie/8449837f-64ac-4293-b1f8-210e62779202.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Norquinal_Charlie/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Charlie",
+    "id": "Norquinal/Charlie",
+    "developer": "Norquinal",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3061
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3515
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0582
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.271
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3737
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3093
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Norquinal/Delta/684a3a6e-c74d-456f-b80e-c099b8c9973c.json b/data/hfopenllm_v2/Norquinal/Delta/684a3a6e-c74d-456f-b80e-c099b8c9973c.json
deleted file mode 100644
index be8764cf3..000000000
--- a/data/hfopenllm_v2/Norquinal/Delta/684a3a6e-c74d-456f-b80e-c099b8c9973c.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Norquinal_Delta/1762652579.78773",
-  "retrieved_timestamp": "1762652579.787731",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Norquinal/Delta",
-    "developer": "Norquinal",
-    "inference_platform": "unknown",
-    "id": "Norquinal/Delta",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.253842028041153
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3434783285415976
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.06117824773413897
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2609060402684564
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3776875
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2958776595744681
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Norquinal/Delta/ab8a665c-8234-484f-a8a9-8ee79d73edff.json b/data/hfopenllm_v2/Norquinal/Delta/ab8a665c-8234-484f-a8a9-8ee79d73edff.json
new file mode 100644
index 000000000..bbcdf56d1
--- /dev/null
+++ b/data/hfopenllm_v2/Norquinal/Delta/ab8a665c-8234-484f-a8a9-8ee79d73edff.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Norquinal_Delta/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Delta",
+    "id": "Norquinal/Delta",
+    "developer": "Norquinal",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2538
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3435
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0612
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2609
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3777
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2959
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Norquinal/Echo/a954242f-41a6-49d7-a71d-3bfe940cdb92.json b/data/hfopenllm_v2/Norquinal/Echo/a954242f-41a6-49d7-a71d-3bfe940cdb92.json
new file mode 100644
index 000000000..b0482210d
--- /dev/null
+++ b/data/hfopenllm_v2/Norquinal/Echo/a954242f-41a6-49d7-a71d-3bfe940cdb92.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Norquinal_Echo/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Echo",
+    "id": "Norquinal/Echo",
+    "developer": "Norquinal",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3158
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.353
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0574
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2794
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3804
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3095
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Norquinal/Echo/f2f250f7-8cb0-4076-b2f0-7cf8ee911532.json b/data/hfopenllm_v2/Norquinal/Echo/f2f250f7-8cb0-4076-b2f0-7cf8ee911532.json
deleted file mode 100644
index 26ebdea26..000000000
--- a/data/hfopenllm_v2/Norquinal/Echo/f2f250f7-8cb0-4076-b2f0-7cf8ee911532.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Norquinal_Echo/1762652579.787929",
-  "retrieved_timestamp": "1762652579.787929",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Norquinal/Echo",
-    "developer": "Norquinal",
-    "inference_platform": "unknown",
-    "id": "Norquinal/Echo",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.31579099012841483
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.35304654390055795
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.05740181268882175
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.27936241610738255
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3804479166666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30950797872340424
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Norquinal/Foxtrot/2a4428d4-a6c9-427c-ba67-72f08b590b8e.json b/data/hfopenllm_v2/Norquinal/Foxtrot/2a4428d4-a6c9-427c-ba67-72f08b590b8e.json
deleted file mode 100644
index d7f2466e2..000000000
--- a/data/hfopenllm_v2/Norquinal/Foxtrot/2a4428d4-a6c9-427c-ba67-72f08b590b8e.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Norquinal_Foxtrot/1762652579.788121",
-  "retrieved_timestamp": "1762652579.788121",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Norquinal/Foxtrot",
-    "developer": "Norquinal",
-    "inference_platform": "unknown",
-    "id": "Norquinal/Foxtrot",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3011531624977283
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3558026577191667
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.0581570996978852
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.28691275167785235
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3804166666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30501994680851063
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Norquinal/Foxtrot/6d1c518f-3f42-49eb-9208-b30e27e7e87e.json b/data/hfopenllm_v2/Norquinal/Foxtrot/6d1c518f-3f42-49eb-9208-b30e27e7e87e.json
new file mode 100644
index 000000000..eb075ffce
--- /dev/null
+++ b/data/hfopenllm_v2/Norquinal/Foxtrot/6d1c518f-3f42-49eb-9208-b30e27e7e87e.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Norquinal_Foxtrot/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Foxtrot",
+    "id": "Norquinal/Foxtrot",
+    "developer": "Norquinal",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3012
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3558
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0582
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2869
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3804
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.305
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Norquinal/Golf/87931db7-42a4-48df-b5a5-8bd934061dbe.json b/data/hfopenllm_v2/Norquinal/Golf/87931db7-42a4-48df-b5a5-8bd934061dbe.json
new file mode 100644
index 000000000..a262d2157
--- /dev/null
+++ b/data/hfopenllm_v2/Norquinal/Golf/87931db7-42a4-48df-b5a5-8bd934061dbe.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Norquinal_Golf/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Golf",
+    "id": "Norquinal/Golf",
+    "developer": "Norquinal",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3534
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3533
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0536
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2903
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.338
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3056
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Norquinal/Golf/dfdcfbfa-c023-40bf-b5e3-632b45f28aab.json b/data/hfopenllm_v2/Norquinal/Golf/dfdcfbfa-c023-40bf-b5e3-632b45f28aab.json
deleted file mode 100644
index 7b93483e4..000000000
--- a/data/hfopenllm_v2/Norquinal/Golf/dfdcfbfa-c023-40bf-b5e3-632b45f28aab.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Norquinal_Golf/1762652579.788314",
-  "retrieved_timestamp": "1762652579.7883148",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Norquinal/Golf",
-    "developer": "Norquinal",
-    "inference_platform": "unknown",
-    "id": "Norquinal/Golf",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3533601953926692
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.35332648991705207
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.05362537764350453
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2902684563758389
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.338
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30560172872340424
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Norquinal/Hotel/54088dbc-04cc-4b35-b4e1-e495b7cfd47f.json b/data/hfopenllm_v2/Norquinal/Hotel/54088dbc-04cc-4b35-b4e1-e495b7cfd47f.json
new file mode 100644
index 000000000..21264522c
--- /dev/null
+++ b/data/hfopenllm_v2/Norquinal/Hotel/54088dbc-04cc-4b35-b4e1-e495b7cfd47f.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Norquinal_Hotel/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Hotel",
+    "id": "Norquinal/Hotel",
+    "developer": "Norquinal",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3215
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3679
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0529
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2794
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3288
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3157
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Norquinal/Hotel/f91abb9a-6690-4fec-b1a7-f519dfe66d24.json b/data/hfopenllm_v2/Norquinal/Hotel/f91abb9a-6690-4fec-b1a7-f519dfe66d24.json
deleted file mode 100644
index a078dccc8..000000000
--- a/data/hfopenllm_v2/Norquinal/Hotel/f91abb9a-6690-4fec-b1a7-f519dfe66d24.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Norquinal_Hotel/1762652579.788509",
-  "retrieved_timestamp": "1762652579.7885098",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Norquinal/Hotel",
-    "developer": "Norquinal",
-    "inference_platform": "unknown",
-    "id": "Norquinal/Hotel",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3215113676157041
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.36785702492059275
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.052870090634441085
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.27936241610738255
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3288229166666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3156582446808511
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/NotASI/FineTome-Llama3.2-1B-0929/7129efad-8ab2-4f7a-b6ed-055989b3e131.json b/data/hfopenllm_v2/NotASI/FineTome-Llama3.2-1B-0929/7129efad-8ab2-4f7a-b6ed-055989b3e131.json
new file mode 100644
index 000000000..0d3997068
--- /dev/null
+++ b/data/hfopenllm_v2/NotASI/FineTome-Llama3.2-1B-0929/7129efad-8ab2-4f7a-b6ed-055989b3e131.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/NotASI_FineTome-Llama3.2-1B-0929/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "FineTome-Llama3.2-1B-0929",
+    "id": "NotASI/FineTome-Llama3.2-1B-0929",
+    "developer": "NotASI",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 1.236
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3991
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3246
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0363
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2727
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3488
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1429
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/NotASI/FineTome-Llama3.2-3B-1002/cfc6f85f-e4b6-4164-b7eb-4efb888e1ba5.json b/data/hfopenllm_v2/NotASI/FineTome-Llama3.2-3B-1002/cfc6f85f-e4b6-4164-b7eb-4efb888e1ba5.json
new file mode 100644
index 000000000..acaee36c4
--- /dev/null
+++ b/data/hfopenllm_v2/NotASI/FineTome-Llama3.2-3B-1002/cfc6f85f-e4b6-4164-b7eb-4efb888e1ba5.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/NotASI_FineTome-Llama3.2-3B-1002/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "FineTome-Llama3.2-3B-1002",
+    "id": "NotASI/FineTome-Llama3.2-3B-1002",
+    "developer": "NotASI",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 3.0
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5474
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4319
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0627
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2508
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3685
+      }
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diff --git a/data/hfopenllm_v2/NotASI/FineTome-v1.5-Llama3.2-1B-1007/0f053a45-cd79-4e51-9b4c-ae5c51006c17.json b/data/hfopenllm_v2/NotASI/FineTome-v1.5-Llama3.2-1B-1007/0f053a45-cd79-4e51-9b4c-ae5c51006c17.json
new file mode 100644
index 000000000..eb26e5748
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new file mode 100644
index 000000000..d99453b0a
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diff --git a/data/hfopenllm_v2/NousResearch/DeepHermes-3-Mistral-24B-Preview/4c08530e-d529-49a1-a3fe-2351c422981a.json b/data/hfopenllm_v2/NousResearch/DeepHermes-3-Mistral-24B-Preview/4c08530e-d529-49a1-a3fe-2351c422981a.json
new file mode 100644
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diff --git a/data/hfopenllm_v2/NousResearch/Hermes-2-Pro-Llama-3-8B/d16879dc-7ed7-49c4-aca6-4c9cd3b3a350.json b/data/hfopenllm_v2/NousResearch/Hermes-2-Pro-Llama-3-8B/d16879dc-7ed7-49c4-aca6-4c9cd3b3a350.json
new file mode 100644
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diff --git a/data/hfopenllm_v2/NousResearch/Hermes-2-Pro-Mistral-7B/70656b13-e0a2-4ef4-af43-0d9995d57af6.json b/data/hfopenllm_v2/NousResearch/Hermes-2-Pro-Mistral-7B/70656b13-e0a2-4ef4-af43-0d9995d57af6.json
new file mode 100644
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/NousResearch/Hermes-2-Theta-Llama-3-8B/6544f1ca-02a6-4e58-98f0-e19cc6082682.json b/data/hfopenllm_v2/NousResearch/Hermes-2-Theta-Llama-3-8B/6544f1ca-02a6-4e58-98f0-e19cc6082682.json
new file mode 100644
index 000000000..b3a330363
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/NousResearch/Hermes-3-Llama-3.1-70B/5cd3796f-fb31-49c1-a974-019c5c5b20ae.json b/data/hfopenllm_v2/NousResearch/Hermes-3-Llama-3.1-70B/5cd3796f-fb31-49c1-a974-019c5c5b20ae.json
new file mode 100644
index 000000000..75935fc92
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/NousResearch/Hermes-3-Llama-3.1-8B/49eff9ad-90c9-43b1-a1f5-cf371ac4b39b.json b/data/hfopenllm_v2/NousResearch/Hermes-3-Llama-3.1-8B/49eff9ad-90c9-43b1-a1f5-cf371ac4b39b.json
new file mode 100644
index 000000000..0ebe2c0ab
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/NousResearch/Hermes-3-Llama-3.2-3B/59720f7e-7e09-483f-8332-8dc7aa19ae78.json b/data/hfopenllm_v2/NousResearch/Hermes-3-Llama-3.2-3B/59720f7e-7e09-483f-8332-8dc7aa19ae78.json
new file mode 100644
index 000000000..248fd1575
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/NousResearch/Nous-Hermes-2-Mistral-7B-DPO/877421ae-8135-485f-805e-489ed70dc886.json b/data/hfopenllm_v2/NousResearch/Nous-Hermes-2-Mistral-7B-DPO/877421ae-8135-485f-805e-489ed70dc886.json
deleted file mode 100644
index 7b0331266..000000000
--- a/data/hfopenllm_v2/NousResearch/Nous-Hermes-2-Mistral-7B-DPO/877421ae-8135-485f-805e-489ed70dc886.json
+++ /dev/null
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new file mode 100644
index 000000000..c982b95bd
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diff --git a/data/hfopenllm_v2/NousResearch/Nous-Hermes-2-Mixtral-8x7B-DPO/b3c04d1f-80e3-4d86-9779-c5e4bbce6f35.json b/data/hfopenllm_v2/NousResearch/Nous-Hermes-2-Mixtral-8x7B-DPO/b3c04d1f-80e3-4d86-9779-c5e4bbce6f35.json
new file mode 100644
index 000000000..44ac522b4
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/NousResearch/Nous-Hermes-2-Mixtral-8x7B-DPO/bc2d14fe-000a-40ce-a57c-c00fe584a7e4.json b/data/hfopenllm_v2/NousResearch/Nous-Hermes-2-Mixtral-8x7B-DPO/bc2d14fe-000a-40ce-a57c-c00fe584a7e4.json
deleted file mode 100644
index deecc3b86..000000000
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diff --git a/data/hfopenllm_v2/NousResearch/Nous-Hermes-2-Mixtral-8x7B-SFT/3c196d70-44ad-419c-8c4c-80fc7f184687.json b/data/hfopenllm_v2/NousResearch/Nous-Hermes-2-Mixtral-8x7B-SFT/3c196d70-44ad-419c-8c4c-80fc7f184687.json
deleted file mode 100644
index da5ff3116..000000000
--- a/data/hfopenllm_v2/NousResearch/Nous-Hermes-2-Mixtral-8x7B-SFT/3c196d70-44ad-419c-8c4c-80fc7f184687.json
+++ /dev/null
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diff --git a/data/hfopenllm_v2/NousResearch/Nous-Hermes-2-Mixtral-8x7B-SFT/448fda35-bfdc-42ae-90f9-d44383e0a454.json b/data/hfopenllm_v2/NousResearch/Nous-Hermes-2-Mixtral-8x7B-SFT/448fda35-bfdc-42ae-90f9-d44383e0a454.json
new file mode 100644
index 000000000..d14264647
--- /dev/null
+++ b/data/hfopenllm_v2/NousResearch/Nous-Hermes-2-Mixtral-8x7B-SFT/448fda35-bfdc-42ae-90f9-d44383e0a454.json
@@ -0,0 +1,132 @@
+{
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new file mode 100644
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/NousResearch/Yarn-Llama-2-7b-128k/c7736577-c4c3-4233-9308-a4bb9b2dbb89.json b/data/hfopenllm_v2/NousResearch/Yarn-Llama-2-7b-128k/c7736577-c4c3-4233-9308-a4bb9b2dbb89.json
new file mode 100644
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diff --git a/data/hfopenllm_v2/NousResearch/Yarn-Llama-2-7b-64k/76fe52f4-9fa5-4ccb-8c92-7bd9eb9886ee.json b/data/hfopenllm_v2/NousResearch/Yarn-Llama-2-7b-64k/76fe52f4-9fa5-4ccb-8c92-7bd9eb9886ee.json
new file mode 100644
index 000000000..a38d9e7b9
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/NousResearch/Yarn-Mistral-7b-128k/1d92e45f-c5a5-4dd6-a61f-8e0f7246117a.json b/data/hfopenllm_v2/NousResearch/Yarn-Mistral-7b-128k/1d92e45f-c5a5-4dd6-a61f-8e0f7246117a.json
new file mode 100644
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/NousResearch/Yarn-Mistral-7b-64k/5e1513f1-4375-4380-85fa-b96a419c013b.json b/data/hfopenllm_v2/NousResearch/Yarn-Mistral-7b-64k/5e1513f1-4375-4380-85fa-b96a419c013b.json
new file mode 100644
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/NousResearch/Yarn-Solar-10b-32k/a18a259d-1795-4848-94fd-3b9c3abfb9da.json b/data/hfopenllm_v2/NousResearch/Yarn-Solar-10b-32k/a18a259d-1795-4848-94fd-3b9c3abfb9da.json
deleted file mode 100644
index 79ec67a34..000000000
--- a/data/hfopenllm_v2/NousResearch/Yarn-Solar-10b-32k/a18a259d-1795-4848-94fd-3b9c3abfb9da.json
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diff --git a/data/hfopenllm_v2/NousResearch/Yarn-Solar-10b-32k/fadbf3b2-283a-4f8e-9acf-463d75924b97.json b/data/hfopenllm_v2/NousResearch/Yarn-Solar-10b-32k/fadbf3b2-283a-4f8e-9acf-463d75924b97.json
new file mode 100644
index 000000000..a3f6cc8a8
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+++ b/data/hfopenllm_v2/NousResearch/Yarn-Solar-10b-32k/fadbf3b2-283a-4f8e-9acf-463d75924b97.json
@@ -0,0 +1,132 @@
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+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Yarn-Solar-10b-32k",
+    "id": "NousResearch/Yarn-Solar-10b-32k",
+    "developer": "NousResearch",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 10.0
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1942
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4987
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0302
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3029
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4146
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3272
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/NousResearch/Yarn-Solar-10b-64k/1904c811-34ae-4f52-9978-622bc6dd6f2e.json b/data/hfopenllm_v2/NousResearch/Yarn-Solar-10b-64k/1904c811-34ae-4f52-9978-622bc6dd6f2e.json
deleted file mode 100644
index 8a3c5b4fb..000000000
--- a/data/hfopenllm_v2/NousResearch/Yarn-Solar-10b-64k/1904c811-34ae-4f52-9978-622bc6dd6f2e.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/NousResearch_Yarn-Solar-10b-64k/1762652579.793644",
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-  "source_data": [
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-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "NousResearch/Yarn-Solar-10b-64k",
-    "developer": "NousResearch",
-    "inference_platform": "unknown",
-    "id": "NousResearch/Yarn-Solar-10b-64k",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 10.0
-    }
-  },
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-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1988867316498003
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.028700906344410877
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-      }
-    },
-    {
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-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.40143750000000006
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/NousResearch/Yarn-Solar-10b-64k/c04ffe5b-c313-4249-83bb-bbe07ad6fc69.json b/data/hfopenllm_v2/NousResearch/Yarn-Solar-10b-64k/c04ffe5b-c313-4249-83bb-bbe07ad6fc69.json
new file mode 100644
index 000000000..6b8acf7a6
--- /dev/null
+++ b/data/hfopenllm_v2/NousResearch/Yarn-Solar-10b-64k/c04ffe5b-c313-4249-83bb-bbe07ad6fc69.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/NousResearch_Yarn-Solar-10b-64k/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Yarn-Solar-10b-64k",
+    "id": "NousResearch/Yarn-Solar-10b-64k",
+    "developer": "NousResearch",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 10.0
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1989
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4922
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0287
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.302
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4014
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3148
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Novaciano/ASTAROTH-3.2-1B/a9aa164e-386b-4987-9f49-2dde64ade45c.json b/data/hfopenllm_v2/Novaciano/ASTAROTH-3.2-1B/a9aa164e-386b-4987-9f49-2dde64ade45c.json
new file mode 100644
index 000000000..da6642839
--- /dev/null
+++ b/data/hfopenllm_v2/Novaciano/ASTAROTH-3.2-1B/a9aa164e-386b-4987-9f49-2dde64ade45c.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Novaciano_ASTAROTH-3.2-1B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "ASTAROTH-3.2-1B",
+    "id": "Novaciano/ASTAROTH-3.2-1B",
+    "developer": "Novaciano",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 1.498
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5613
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3543
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0733
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2559
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3142
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1909
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Novaciano/ASTAROTH-3.2-1B/e454276c-3113-49f8-9397-9c1ad5e7bcc5.json b/data/hfopenllm_v2/Novaciano/ASTAROTH-3.2-1B/e454276c-3113-49f8-9397-9c1ad5e7bcc5.json
deleted file mode 100644
index 49f6c6384..000000000
--- a/data/hfopenllm_v2/Novaciano/ASTAROTH-3.2-1B/e454276c-3113-49f8-9397-9c1ad5e7bcc5.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Novaciano_ASTAROTH-3.2-1B/1762652579.7938519",
-  "retrieved_timestamp": "1762652579.793853",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Novaciano/ASTAROTH-3.2-1B",
-    "developer": "Novaciano",
-    "inference_platform": "unknown",
-    "id": "Novaciano/ASTAROTH-3.2-1B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 1.498
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5612884923115112
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-    },
-    {
-      "evaluation_name": "BBH",
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-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3542962056805596
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "GPQA",
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-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
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-        "max_score": 1
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-      "score_details": {
-        "score": 0.2558724832214765
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-    },
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-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.31421875
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.19090757978723405
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Novaciano/BLAST_PROCESSING-3.2-1B/61173be4-9a87-4dfa-812d-b414b4d2bccb.json b/data/hfopenllm_v2/Novaciano/BLAST_PROCESSING-3.2-1B/61173be4-9a87-4dfa-812d-b414b4d2bccb.json
deleted file mode 100644
index 17a0aa521..000000000
--- a/data/hfopenllm_v2/Novaciano/BLAST_PROCESSING-3.2-1B/61173be4-9a87-4dfa-812d-b414b4d2bccb.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Novaciano_BLAST_PROCESSING-3.2-1B/1762652579.794129",
-  "retrieved_timestamp": "1762652579.7941298",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Novaciano/BLAST_PROCESSING-3.2-1B",
-    "developer": "Novaciano",
-    "inference_platform": "unknown",
-    "id": "Novaciano/BLAST_PROCESSING-3.2-1B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 1.498
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-  "evaluation_results": [
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-        "min_score": 0,
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diff --git a/data/hfopenllm_v2/Novaciano/BLAST_PROCESSING-3.2-1B/e4c1b3ef-e1db-4eca-b818-f3b1680cc5f0.json b/data/hfopenllm_v2/Novaciano/BLAST_PROCESSING-3.2-1B/e4c1b3ef-e1db-4eca-b818-f3b1680cc5f0.json
new file mode 100644
index 000000000..3f01feccd
--- /dev/null
+++ b/data/hfopenllm_v2/Novaciano/BLAST_PROCESSING-3.2-1B/e4c1b3ef-e1db-4eca-b818-f3b1680cc5f0.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Novaciano_BLAST_PROCESSING-3.2-1B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "BLAST_PROCESSING-3.2-1B",
+    "id": "Novaciano/BLAST_PROCESSING-3.2-1B",
+    "developer": "Novaciano",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 1.498
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3922
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.346
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
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+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2659
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3351
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1941
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Novaciano/Cerberus-3.2-1B/1ab95edc-ea3c-4d3f-9f59-dc7f7468adb9.json b/data/hfopenllm_v2/Novaciano/Cerberus-3.2-1B/1ab95edc-ea3c-4d3f-9f59-dc7f7468adb9.json
new file mode 100644
index 000000000..850ea6a63
--- /dev/null
+++ b/data/hfopenllm_v2/Novaciano/Cerberus-3.2-1B/1ab95edc-ea3c-4d3f-9f59-dc7f7468adb9.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Novaciano_Cerberus-3.2-1B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Cerberus-3.2-1B",
+    "id": "Novaciano/Cerberus-3.2-1B",
+    "developer": "Novaciano",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 1.236
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5017
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4165
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0582
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2584
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3289
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1663
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Novaciano/Cerberus-3.2-1B/2d6ff76b-9d81-45a7-8768-6a240b5395ab.json b/data/hfopenllm_v2/Novaciano/Cerberus-3.2-1B/2d6ff76b-9d81-45a7-8768-6a240b5395ab.json
deleted file mode 100644
index f50bb245f..000000000
--- a/data/hfopenllm_v2/Novaciano/Cerberus-3.2-1B/2d6ff76b-9d81-45a7-8768-6a240b5395ab.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Novaciano_Cerberus-3.2-1B/1762652579.7945569",
-  "retrieved_timestamp": "1762652579.794559",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Novaciano/Cerberus-3.2-1B",
-    "developer": "Novaciano",
-    "inference_platform": "unknown",
-    "id": "Novaciano/Cerberus-3.2-1B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 1.236
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5016877440746109
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-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4164937678626939
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
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-      "metric_config": {
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-    },
-    {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.32888541666666665
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Novaciano/Cultist-3.2-1B/3dc51dce-222f-455b-b61a-04904c7fc855.json b/data/hfopenllm_v2/Novaciano/Cultist-3.2-1B/3dc51dce-222f-455b-b61a-04904c7fc855.json
deleted file mode 100644
index 6964286fd..000000000
--- a/data/hfopenllm_v2/Novaciano/Cultist-3.2-1B/3dc51dce-222f-455b-b61a-04904c7fc855.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Novaciano_Cultist-3.2-1B/1762652579.7949288",
-  "retrieved_timestamp": "1762652579.79493",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Novaciano/Cultist-3.2-1B",
-    "developer": "Novaciano",
-    "inference_platform": "unknown",
-    "id": "Novaciano/Cultist-3.2-1B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 1.498
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-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-    {
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-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2609060402684564
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3330104166666667
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.17137632978723405
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Novaciano/Cultist-3.2-1B/80a81bbc-6edf-48b9-afb7-e4e0a03753d8.json b/data/hfopenllm_v2/Novaciano/Cultist-3.2-1B/80a81bbc-6edf-48b9-afb7-e4e0a03753d8.json
new file mode 100644
index 000000000..25acd6b95
--- /dev/null
+++ b/data/hfopenllm_v2/Novaciano/Cultist-3.2-1B/80a81bbc-6edf-48b9-afb7-e4e0a03753d8.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Novaciano_Cultist-3.2-1B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Cultist-3.2-1B",
+    "id": "Novaciano/Cultist-3.2-1B",
+    "developer": "Novaciano",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 1.498
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5295
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3399
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0589
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2609
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.333
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1714
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Novaciano/FuseChat-3.2-1B-GRPO_Creative_RP/16a8882c-12f5-46d0-8e1f-88b22aa8f08c.json b/data/hfopenllm_v2/Novaciano/FuseChat-3.2-1B-GRPO_Creative_RP/16a8882c-12f5-46d0-8e1f-88b22aa8f08c.json
deleted file mode 100644
index 93efd1d7d..000000000
--- a/data/hfopenllm_v2/Novaciano/FuseChat-3.2-1B-GRPO_Creative_RP/16a8882c-12f5-46d0-8e1f-88b22aa8f08c.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Novaciano_FuseChat-3.2-1B-GRPO_Creative_RP/1762652579.795153",
-  "retrieved_timestamp": "1762652579.795153",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Novaciano/FuseChat-3.2-1B-GRPO_Creative_RP",
-    "developer": "Novaciano",
-    "inference_platform": "unknown",
-    "id": "Novaciano/FuseChat-3.2-1B-GRPO_Creative_RP",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 1.236
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.559814625194484
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3487816706572648
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.08006042296072508
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2558724832214765
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.33288541666666666
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.17345412234042554
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Novaciano/FuseChat-3.2-1B-GRPO_Creative_RP/afb24bf8-3c47-4278-9b84-19b05017745b.json b/data/hfopenllm_v2/Novaciano/FuseChat-3.2-1B-GRPO_Creative_RP/afb24bf8-3c47-4278-9b84-19b05017745b.json
new file mode 100644
index 000000000..cfdd2f4d5
--- /dev/null
+++ b/data/hfopenllm_v2/Novaciano/FuseChat-3.2-1B-GRPO_Creative_RP/afb24bf8-3c47-4278-9b84-19b05017745b.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Novaciano_FuseChat-3.2-1B-GRPO_Creative_RP/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "FuseChat-3.2-1B-GRPO_Creative_RP",
+    "id": "Novaciano/FuseChat-3.2-1B-GRPO_Creative_RP",
+    "developer": "Novaciano",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 1.236
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5598
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3488
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0801
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2559
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3329
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1735
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Novaciano/Fusetrix-3.2-1B-GRPO_RP_Creative/4f8cda4d-959b-41ab-a79d-d2b35968eb89.json b/data/hfopenllm_v2/Novaciano/Fusetrix-3.2-1B-GRPO_RP_Creative/4f8cda4d-959b-41ab-a79d-d2b35968eb89.json
new file mode 100644
index 000000000..7acb2bdcc
--- /dev/null
+++ b/data/hfopenllm_v2/Novaciano/Fusetrix-3.2-1B-GRPO_RP_Creative/4f8cda4d-959b-41ab-a79d-d2b35968eb89.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Novaciano_Fusetrix-3.2-1B-GRPO_RP_Creative/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Fusetrix-3.2-1B-GRPO_RP_Creative",
+    "id": "Novaciano/Fusetrix-3.2-1B-GRPO_RP_Creative",
+    "developer": "Novaciano",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 1.236
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5366
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3435
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1148
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.25
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3209
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1758
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Novaciano/Fusetrix-3.2-1B-GRPO_RP_Creative/7fe4c32b-0bbd-49c0-9e4f-43306457aae8.json b/data/hfopenllm_v2/Novaciano/Fusetrix-3.2-1B-GRPO_RP_Creative/7fe4c32b-0bbd-49c0-9e4f-43306457aae8.json
deleted file mode 100644
index 9132eb941..000000000
--- a/data/hfopenllm_v2/Novaciano/Fusetrix-3.2-1B-GRPO_RP_Creative/7fe4c32b-0bbd-49c0-9e4f-43306457aae8.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Novaciano_Fusetrix-3.2-1B-GRPO_RP_Creative/1762652579.795362",
-  "retrieved_timestamp": "1762652579.795362",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Novaciano/Fusetrix-3.2-1B-GRPO_RP_Creative",
-    "developer": "Novaciano",
-    "inference_platform": "unknown",
-    "id": "Novaciano/Fusetrix-3.2-1B-GRPO_RP_Creative",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 1.236
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5366339091388627
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3434595088038714
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1148036253776435
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.25
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3209166666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.17578125
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Novaciano/Fusetrix-Dolphin-3.2-1B-GRPO_Creative_RP/2818aa8c-5c73-4de9-bcbe-fd8f68e8bc6b.json b/data/hfopenllm_v2/Novaciano/Fusetrix-Dolphin-3.2-1B-GRPO_Creative_RP/2818aa8c-5c73-4de9-bcbe-fd8f68e8bc6b.json
new file mode 100644
index 000000000..4b1fc2436
--- /dev/null
+++ b/data/hfopenllm_v2/Novaciano/Fusetrix-Dolphin-3.2-1B-GRPO_Creative_RP/2818aa8c-5c73-4de9-bcbe-fd8f68e8bc6b.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Novaciano_Fusetrix-Dolphin-3.2-1B-GRPO_Creative_RP/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Fusetrix-Dolphin-3.2-1B-GRPO_Creative_RP",
+    "id": "Novaciano/Fusetrix-Dolphin-3.2-1B-GRPO_Creative_RP",
+    "developer": "Novaciano",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 1.236
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5343
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3502
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.105
+      }
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3183
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+        "score": 0.1823
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Novaciano/HarmfulProject-3.2-1B/6a683ead-0f3e-449b-9ae1-8afc9f1ab33d.json b/data/hfopenllm_v2/Novaciano/HarmfulProject-3.2-1B/6a683ead-0f3e-449b-9ae1-8afc9f1ab33d.json
new file mode 100644
index 000000000..2b69d3c05
--- /dev/null
+++ b/data/hfopenllm_v2/Novaciano/HarmfulProject-3.2-1B/6a683ead-0f3e-449b-9ae1-8afc9f1ab33d.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Novaciano_HarmfulProject-3.2-1B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "HarmfulProject-3.2-1B",
+    "id": "Novaciano/HarmfulProject-3.2-1B",
+    "developer": "Novaciano",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 1.498
+    }
+  },
+  "evaluation_results": [
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3874
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3274
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0476
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2668
+      }
+    },
+    {
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+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+    },
+    {
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+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1823
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Novaciano/HarmfulProject-3.2-1B/99b31db9-55f8-41c2-9eb9-f21511deccf0.json b/data/hfopenllm_v2/Novaciano/HarmfulProject-3.2-1B/99b31db9-55f8-41c2-9eb9-f21511deccf0.json
deleted file mode 100644
index 022a445d7..000000000
--- a/data/hfopenllm_v2/Novaciano/HarmfulProject-3.2-1B/99b31db9-55f8-41c2-9eb9-f21511deccf0.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/Novaciano_HarmfulProject-3.2-1B/1762652579.7958348",
-  "retrieved_timestamp": "1762652579.795836",
-  "source_data": [
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
-    "name": "Novaciano/HarmfulProject-3.2-1B",
-    "developer": "Novaciano",
-    "inference_platform": "unknown",
-    "id": "Novaciano/HarmfulProject-3.2-1B",
-    "additional_details": {
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-        "lower_is_better": false,
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-        "min_score": 0,
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-        "score_type": "continuous",
-        "min_score": 0,
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-  ]
-}
diff --git a/data/hfopenllm_v2/Novaciano/LEWD-Mental-Cultist-3.2-1B/1bce579e-9fac-46a9-92ef-48080832abbb.json b/data/hfopenllm_v2/Novaciano/LEWD-Mental-Cultist-3.2-1B/1bce579e-9fac-46a9-92ef-48080832abbb.json
deleted file mode 100644
index a9e55fb83..000000000
--- a/data/hfopenllm_v2/Novaciano/LEWD-Mental-Cultist-3.2-1B/1bce579e-9fac-46a9-92ef-48080832abbb.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
-    "name": "Novaciano/LEWD-Mental-Cultist-3.2-1B",
-    "developer": "Novaciano",
-    "inference_platform": "unknown",
-    "id": "Novaciano/LEWD-Mental-Cultist-3.2-1B",
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-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
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-    },
-    {
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-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Novaciano/LEWD-Mental-Cultist-3.2-1B/38cb02a8-862d-40e1-922a-e65f537df87e.json b/data/hfopenllm_v2/Novaciano/LEWD-Mental-Cultist-3.2-1B/38cb02a8-862d-40e1-922a-e65f537df87e.json
new file mode 100644
index 000000000..c5ba6cc4d
--- /dev/null
+++ b/data/hfopenllm_v2/Novaciano/LEWD-Mental-Cultist-3.2-1B/38cb02a8-862d-40e1-922a-e65f537df87e.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Novaciano_LEWD-Mental-Cultist-3.2-1B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "LEWD-Mental-Cultist-3.2-1B",
+    "id": "Novaciano/LEWD-Mental-Cultist-3.2-1B",
+    "developer": "Novaciano",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 1.498
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5309
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3513
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0529
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2567
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3223
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1769
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Novaciano/La_Mejor_Mezcla-3.2-1B/49fef1c9-bf18-465c-acdb-b8f17e93dbad.json b/data/hfopenllm_v2/Novaciano/La_Mejor_Mezcla-3.2-1B/49fef1c9-bf18-465c-acdb-b8f17e93dbad.json
deleted file mode 100644
index a9491b1d2..000000000
--- a/data/hfopenllm_v2/Novaciano/La_Mejor_Mezcla-3.2-1B/49fef1c9-bf18-465c-acdb-b8f17e93dbad.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "source_data": [
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-    "developer": "Novaciano",
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-    "id": "Novaciano/La_Mejor_Mezcla-3.2-1B",
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-      "metric_config": {
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-      "score_details": {
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-    }
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-}
diff --git a/data/hfopenllm_v2/Novaciano/La_Mejor_Mezcla-3.2-1B/f816e2a7-2629-4abe-9ed0-3d1299e95194.json b/data/hfopenllm_v2/Novaciano/La_Mejor_Mezcla-3.2-1B/f816e2a7-2629-4abe-9ed0-3d1299e95194.json
new file mode 100644
index 000000000..6d6061a90
--- /dev/null
+++ b/data/hfopenllm_v2/Novaciano/La_Mejor_Mezcla-3.2-1B/f816e2a7-2629-4abe-9ed0-3d1299e95194.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Novaciano_La_Mejor_Mezcla-3.2-1B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "La_Mejor_Mezcla-3.2-1B",
+    "id": "Novaciano/La_Mejor_Mezcla-3.2-1B",
+    "developer": "Novaciano",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 1.498
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.551
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3488
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0899
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2576
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3196
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1829
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Novaciano/Sigil-Of-Satan-3.2-1B/286fae5b-544a-4033-9092-d633fc80f47b.json b/data/hfopenllm_v2/Novaciano/Sigil-Of-Satan-3.2-1B/286fae5b-544a-4033-9092-d633fc80f47b.json
new file mode 100644
index 000000000..b801b00b1
--- /dev/null
+++ b/data/hfopenllm_v2/Novaciano/Sigil-Of-Satan-3.2-1B/286fae5b-544a-4033-9092-d633fc80f47b.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Novaciano_Sigil-Of-Satan-3.2-1B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Sigil-Of-Satan-3.2-1B",
+    "id": "Novaciano/Sigil-Of-Satan-3.2-1B",
+    "developer": "Novaciano",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 1.498
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5494
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3546
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0544
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2609
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3276
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1855
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Novaciano/Sigil-Of-Satan-3.2-1B/ae9ceba0-8e8a-431f-a762-7bb6c55b4757.json b/data/hfopenllm_v2/Novaciano/Sigil-Of-Satan-3.2-1B/ae9ceba0-8e8a-431f-a762-7bb6c55b4757.json
deleted file mode 100644
index 329dd1f38..000000000
--- a/data/hfopenllm_v2/Novaciano/Sigil-Of-Satan-3.2-1B/ae9ceba0-8e8a-431f-a762-7bb6c55b4757.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Novaciano_Sigil-Of-Satan-3.2-1B/1762652579.7964501",
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-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Novaciano/Sigil-Of-Satan-3.2-1B",
-    "developer": "Novaciano",
-    "inference_platform": "unknown",
-    "id": "Novaciano/Sigil-Of-Satan-3.2-1B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 1.498
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
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-        "score": 0.5494233079340594
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-        "evaluation_description": "Accuracy on BBH",
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-        "score_type": "continuous",
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-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3545862332731657
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
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-    },
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2609060402684564
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3276145833333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.18550531914893617
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/NucleusAI/nucleus-22B-token-500B/93477bf6-ea00-418b-8a2f-975a9554263e.json b/data/hfopenllm_v2/NucleusAI/nucleus-22B-token-500B/93477bf6-ea00-418b-8a2f-975a9554263e.json
new file mode 100644
index 000000000..9e4f3e608
--- /dev/null
+++ b/data/hfopenllm_v2/NucleusAI/nucleus-22B-token-500B/93477bf6-ea00-418b-8a2f-975a9554263e.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/NucleusAI_nucleus-22B-token-500B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "nucleus-22B-token-500B",
+    "id": "NucleusAI/nucleus-22B-token-500B",
+    "developer": "NucleusAI",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 21.828
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0257
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.292
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.25
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3511
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1162
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/NucleusAI/nucleus-22B-token-500B/f18c51de-f5eb-4986-8c44-35bd71db5e8b.json b/data/hfopenllm_v2/NucleusAI/nucleus-22B-token-500B/f18c51de-f5eb-4986-8c44-35bd71db5e8b.json
deleted file mode 100644
index b02331a06..000000000
--- a/data/hfopenllm_v2/NucleusAI/nucleus-22B-token-500B/f18c51de-f5eb-4986-8c44-35bd71db5e8b.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/NucleusAI_nucleus-22B-token-500B/1762652579.7966561",
-  "retrieved_timestamp": "1762652579.7966561",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "NucleusAI/nucleus-22B-token-500B",
-    "developer": "NucleusAI",
-    "inference_platform": "unknown",
-    "id": "NucleusAI/nucleus-22B-token-500B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 21.828
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.025654153202391873
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.29198007801214715
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.0
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.25
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3510520833333333
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11619015957446809
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-    }
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-}
diff --git a/data/hfopenllm_v2/NyxKrage/Microsoft_Phi-4/3d7c6576-f99c-4bb3-94fa-4f713e2898f6.json b/data/hfopenllm_v2/NyxKrage/Microsoft_Phi-4/3d7c6576-f99c-4bb3-94fa-4f713e2898f6.json
new file mode 100644
index 000000000..a36e190d6
--- /dev/null
+++ b/data/hfopenllm_v2/NyxKrage/Microsoft_Phi-4/3d7c6576-f99c-4bb3-94fa-4f713e2898f6.json
@@ -0,0 +1,132 @@
+{
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+  "source_metadata": {
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+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
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+  "model_info": {
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+    "id": "NyxKrage/Microsoft_Phi-4",
+    "developer": "NyxKrage",
+    "inference_platform": "unknown",
+    "additional_details": {
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+    }
+  },
+  "evaluation_results": [
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+        "score_type": "continuous",
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+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
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+        "evaluation_description": "Accuracy on MUSR",
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/OEvortex/Emotional-llama-8B/d1e9a242-941f-4461-b75b-7043c2c01ef7.json b/data/hfopenllm_v2/OEvortex/Emotional-llama-8B/d1e9a242-941f-4461-b75b-7043c2c01ef7.json
new file mode 100644
index 000000000..66b1bbf40
--- /dev/null
+++ b/data/hfopenllm_v2/OEvortex/Emotional-llama-8B/d1e9a242-941f-4461-b75b-7043c2c01ef7.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/OEvortex_Emotional-llama-8B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Emotional-llama-8B",
+    "id": "OEvortex/Emotional-llama-8B",
+    "developer": "OEvortex",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4839
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
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+        "hf_repo": "Idavidrein/gpqa"
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
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+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "max_score": 1.0
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
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+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/OEvortex/HelpingAI-15B/4ffdc303-b5e4-45f0-839c-432f04dc5d57.json b/data/hfopenllm_v2/OEvortex/HelpingAI-15B/4ffdc303-b5e4-45f0-839c-432f04dc5d57.json
deleted file mode 100644
index f82bc8107..000000000
--- a/data/hfopenllm_v2/OEvortex/HelpingAI-15B/4ffdc303-b5e4-45f0-839c-432f04dc5d57.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/OEvortex/HelpingAI-15B/e39661af-ad93-41d7-8892-1230064f1a1c.json b/data/hfopenllm_v2/OEvortex/HelpingAI-15B/e39661af-ad93-41d7-8892-1230064f1a1c.json
new file mode 100644
index 000000000..58003624d
--- /dev/null
+++ b/data/hfopenllm_v2/OEvortex/HelpingAI-15B/e39661af-ad93-41d7-8892-1230064f1a1c.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/OEvortex_HelpingAI-15B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "HelpingAI-15B",
+    "id": "OEvortex/HelpingAI-15B",
+    "developer": "OEvortex",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 15.323
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
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+        "lower_is_better": false,
+        "score_type": "continuous",
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+      }
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
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+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
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+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "hf_repo": "Idavidrein/gpqa"
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+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+      "score_details": {
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+      }
+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
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+      "score_details": {
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+    },
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+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/OEvortex/HelpingAI-3B-reloaded/595b61b2-5220-48f6-91a0-3aa0d37c63d8.json b/data/hfopenllm_v2/OEvortex/HelpingAI-3B-reloaded/595b61b2-5220-48f6-91a0-3aa0d37c63d8.json
new file mode 100644
index 000000000..c50a519bb
--- /dev/null
+++ b/data/hfopenllm_v2/OEvortex/HelpingAI-3B-reloaded/595b61b2-5220-48f6-91a0-3aa0d37c63d8.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/OEvortex_HelpingAI-3B-reloaded/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "HelpingAI-3B-reloaded",
+    "id": "OEvortex/HelpingAI-3B-reloaded",
+    "developer": "OEvortex",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 2.81
+    }
+  },
+  "evaluation_results": [
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
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+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
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+      },
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+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4129
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0136
+      }
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+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
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+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
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+        "score_type": "continuous",
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+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2595
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/OEvortex/HelpingAI-3B-reloaded/628026b2-efc1-4592-a85b-f5d2ea1dc1dd.json b/data/hfopenllm_v2/OEvortex/HelpingAI-3B-reloaded/628026b2-efc1-4592-a85b-f5d2ea1dc1dd.json
deleted file mode 100644
index c04125a61..000000000
--- a/data/hfopenllm_v2/OEvortex/HelpingAI-3B-reloaded/628026b2-efc1-4592-a85b-f5d2ea1dc1dd.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/OEvortex_HelpingAI-3B-reloaded/1762652579.797647",
-  "retrieved_timestamp": "1762652579.797647",
-  "source_data": [
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-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "OEvortex/HelpingAI-3B-reloaded",
-    "developer": "OEvortex",
-    "inference_platform": "unknown",
-    "id": "OEvortex/HelpingAI-3B-reloaded",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 2.81
-    }
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-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
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-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-    {
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-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2634228187919463
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3524479166666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.25947473404255317
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/OEvortex/HelpingAI2-9B/3173263e-2a42-4e8d-956e-8175ef464e76.json b/data/hfopenllm_v2/OEvortex/HelpingAI2-9B/3173263e-2a42-4e8d-956e-8175ef464e76.json
new file mode 100644
index 000000000..daf836ff0
--- /dev/null
+++ b/data/hfopenllm_v2/OEvortex/HelpingAI2-9B/3173263e-2a42-4e8d-956e-8175ef464e76.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/OEvortex_HelpingAI2-9B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "HelpingAI2-9B",
+    "id": "OEvortex/HelpingAI2-9B",
+    "developer": "OEvortex",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.903
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4413
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4845
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0589
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2584
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3711
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.29
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/OEvortex/HelpingAI2-9B/d04d6474-5784-4492-8347-a2bc03eca6ba.json b/data/hfopenllm_v2/OEvortex/HelpingAI2-9B/d04d6474-5784-4492-8347-a2bc03eca6ba.json
deleted file mode 100644
index f0031870b..000000000
--- a/data/hfopenllm_v2/OEvortex/HelpingAI2-9B/d04d6474-5784-4492-8347-a2bc03eca6ba.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "retrieved_timestamp": "1762652579.797844",
-  "source_data": [
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-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
-    "name": "OEvortex/HelpingAI2-9B",
-    "developer": "OEvortex",
-    "inference_platform": "unknown",
-    "id": "OEvortex/HelpingAI2-9B",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.903
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    {
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-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "GPQA",
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-  ]
-}
diff --git a/data/hfopenllm_v2/OEvortex/HelpingAI2.5-10B/6a41fcba-f13d-4839-8a91-ff3f18de5114.json b/data/hfopenllm_v2/OEvortex/HelpingAI2.5-10B/6a41fcba-f13d-4839-8a91-ff3f18de5114.json
deleted file mode 100644
index a229c39fb..000000000
--- a/data/hfopenllm_v2/OEvortex/HelpingAI2.5-10B/6a41fcba-f13d-4839-8a91-ff3f18de5114.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/OEvortex_HelpingAI2.5-10B/1762652579.798051",
-  "retrieved_timestamp": "1762652579.798051",
-  "source_data": [
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-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "OEvortex/HelpingAI2.5-10B",
-    "developer": "OEvortex",
-    "inference_platform": "unknown",
-    "id": "OEvortex/HelpingAI2.5-10B",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 10.211
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-    {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
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-        "max_score": 1
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-    {
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-        "evaluation_description": "Accuracy on GPQA",
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-        "score_type": "continuous",
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-        "max_score": 1
-      },
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-        "score": 0.26929530201342283
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37381250000000005
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.25748005319148937
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/OEvortex/HelpingAI2.5-10B/f77f8291-1573-4fb6-a984-1cc099c09621.json b/data/hfopenllm_v2/OEvortex/HelpingAI2.5-10B/f77f8291-1573-4fb6-a984-1cc099c09621.json
new file mode 100644
index 000000000..e0efa3c20
--- /dev/null
+++ b/data/hfopenllm_v2/OEvortex/HelpingAI2.5-10B/f77f8291-1573-4fb6-a984-1cc099c09621.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/OEvortex_HelpingAI2.5-10B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "HelpingAI2.5-10B",
+    "id": "OEvortex/HelpingAI2.5-10B",
+    "developer": "OEvortex",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 10.211
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3277
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4496
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0204
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2693
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3738
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2575
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/OliveiraJLT/Sagui-7B-Instruct-v0.1/c4681e14-513c-4e5e-af8c-88ca11849176.json b/data/hfopenllm_v2/OliveiraJLT/Sagui-7B-Instruct-v0.1/c4681e14-513c-4e5e-af8c-88ca11849176.json
new file mode 100644
index 000000000..1f0b31152
--- /dev/null
+++ b/data/hfopenllm_v2/OliveiraJLT/Sagui-7B-Instruct-v0.1/c4681e14-513c-4e5e-af8c-88ca11849176.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/OliveiraJLT_Sagui-7B-Instruct-v0.1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Sagui-7B-Instruct-v0.1",
+    "id": "OliveiraJLT/Sagui-7B-Instruct-v0.1",
+    "developer": "OliveiraJLT",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 6.738
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2892
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3111
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0151
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2424
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+      "score_details": {
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+    },
+    {
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+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1485
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/OliveiraJLT/Sagui-7B-Instruct-v0.1/d5135349-0757-469d-8ad3-80ef56d1f7de.json b/data/hfopenllm_v2/OliveiraJLT/Sagui-7B-Instruct-v0.1/d5135349-0757-469d-8ad3-80ef56d1f7de.json
deleted file mode 100644
index ad1f9f1a2..000000000
--- a/data/hfopenllm_v2/OliveiraJLT/Sagui-7B-Instruct-v0.1/d5135349-0757-469d-8ad3-80ef56d1f7de.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/OliveiraJLT_Sagui-7B-Instruct-v0.1/1762652579.798249",
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-  "source_data": [
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-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
-    "name": "OliveiraJLT/Sagui-7B-Instruct-v0.1",
-    "developer": "OliveiraJLT",
-    "inference_platform": "unknown",
-    "id": "OliveiraJLT/Sagui-7B-Instruct-v0.1",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
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-  "evaluation_results": [
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-      "evaluation_name": "IFEval",
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-        "max_score": 1
-      },
-      "score_details": {
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-    {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    {
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-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
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-}
diff --git a/data/hfopenllm_v2/Omkar1102/code-yi/0c220edd-2563-4fec-99a4-ef8c210ca5ce.json b/data/hfopenllm_v2/Omkar1102/code-yi/0c220edd-2563-4fec-99a4-ef8c210ca5ce.json
new file mode 100644
index 000000000..032bf1e35
--- /dev/null
+++ b/data/hfopenllm_v2/Omkar1102/code-yi/0c220edd-2563-4fec-99a4-ef8c210ca5ce.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Omkar1102_code-yi/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "code-yi",
+    "id": "Omkar1102/code-yi",
+    "developer": "Omkar1102",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 2.084
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2254
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.275
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2576
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3762
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1123
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Omkar1102/code-yi/2609af14-3cff-4b19-9741-e1caca56f58a.json b/data/hfopenllm_v2/Omkar1102/code-yi/2609af14-3cff-4b19-9741-e1caca56f58a.json
deleted file mode 100644
index 7666b7efb..000000000
--- a/data/hfopenllm_v2/Omkar1102/code-yi/2609af14-3cff-4b19-9741-e1caca56f58a.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Omkar1102/code-yi",
-    "developer": "Omkar1102",
-    "inference_platform": "unknown",
-    "id": "Omkar1102/code-yi",
-    "additional_details": {
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-      "params_billions": 2.084
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-      "evaluation_name": "IFEval",
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-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
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-        "min_score": 0,
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-        "min_score": 0,
-        "max_score": 1
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-        "score_type": "continuous",
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-    },
-    {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-}
diff --git a/data/hfopenllm_v2/Omkar1102/code-yi/3edef2ec-9fad-45ba-8fde-4af5c4f24d69.json b/data/hfopenllm_v2/Omkar1102/code-yi/3edef2ec-9fad-45ba-8fde-4af5c4f24d69.json
deleted file mode 100644
index f91fd42be..000000000
--- a/data/hfopenllm_v2/Omkar1102/code-yi/3edef2ec-9fad-45ba-8fde-4af5c4f24d69.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-    "name": "Omkar1102/code-yi",
-    "developer": "Omkar1102",
-    "inference_platform": "unknown",
-    "id": "Omkar1102/code-yi",
-    "additional_details": {
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-      "architecture": "LlamaForCausalLM",
-      "params_billions": 2.084
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-  "evaluation_results": [
-    {
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-        "min_score": 0,
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diff --git a/data/hfopenllm_v2/Omkar1102/code-yi/bd7ef5a7-aa75-4eb4-8860-aec63f8bf9d1.json b/data/hfopenllm_v2/Omkar1102/code-yi/bd7ef5a7-aa75-4eb4-8860-aec63f8bf9d1.json
new file mode 100644
index 000000000..aa34a77d8
--- /dev/null
+++ b/data/hfopenllm_v2/Omkar1102/code-yi/bd7ef5a7-aa75-4eb4-8860-aec63f8bf9d1.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Omkar1102_code-yi/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "code-yi",
+    "id": "Omkar1102/code-yi",
+    "developer": "Omkar1102",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 2.084
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2148
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+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
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+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
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+        "score_type": "continuous",
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+        "max_score": 1.0
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+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
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+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
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+        "score_type": "continuous",
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+        "max_score": 1.0
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+      "score_details": {
+        "score": 0.2508
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+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3802
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1126
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/OmnicromsBrain/NeuralStar_FusionWriter_4x7b/65ba6556-712c-42cc-817b-ad8c2014dc4c.json b/data/hfopenllm_v2/OmnicromsBrain/NeuralStar_FusionWriter_4x7b/65ba6556-712c-42cc-817b-ad8c2014dc4c.json
deleted file mode 100644
index 239d9ce53..000000000
--- a/data/hfopenllm_v2/OmnicromsBrain/NeuralStar_FusionWriter_4x7b/65ba6556-712c-42cc-817b-ad8c2014dc4c.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/OmnicromsBrain_NeuralStar_FusionWriter_4x7b/1762652579.7988968",
-  "retrieved_timestamp": "1762652579.798898",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "OmnicromsBrain/NeuralStar_FusionWriter_4x7b",
-    "developer": "OmnicromsBrain",
-    "inference_platform": "unknown",
-    "id": "OmnicromsBrain/NeuralStar_FusionWriter_4x7b",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "MixtralForCausalLM",
-      "params_billions": 24.154
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5963842604289951
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.47762434766958123
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.04909365558912387
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2785234899328859
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.401875
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2605551861702128
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/OmnicromsBrain/NeuralStar_FusionWriter_4x7b/85c20522-03c0-4dac-a1c8-2945e4bf0e0e.json b/data/hfopenllm_v2/OmnicromsBrain/NeuralStar_FusionWriter_4x7b/85c20522-03c0-4dac-a1c8-2945e4bf0e0e.json
new file mode 100644
index 000000000..0f861c536
--- /dev/null
+++ b/data/hfopenllm_v2/OmnicromsBrain/NeuralStar_FusionWriter_4x7b/85c20522-03c0-4dac-a1c8-2945e4bf0e0e.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/OmnicromsBrain_NeuralStar_FusionWriter_4x7b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "NeuralStar_FusionWriter_4x7b",
+    "id": "OmnicromsBrain/NeuralStar_FusionWriter_4x7b",
+    "developer": "OmnicromsBrain",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "MixtralForCausalLM",
+      "params_billions": 24.154
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5964
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4776
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0491
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2785
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4019
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2606
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/OnlyCheeini/greesychat-turbo/f180fddd-077f-43f9-b2d9-38c5f33be44d.json b/data/hfopenllm_v2/OnlyCheeini/greesychat-turbo/f180fddd-077f-43f9-b2d9-38c5f33be44d.json
new file mode 100644
index 000000000..f63187b2d
--- /dev/null
+++ b/data/hfopenllm_v2/OnlyCheeini/greesychat-turbo/f180fddd-077f-43f9-b2d9-38c5f33be44d.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/OnlyCheeini_greesychat-turbo/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "greesychat-turbo",
+    "id": "OnlyCheeini/greesychat-turbo",
+    "developer": "OnlyCheeini",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0233
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3092
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2601
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3314
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1138
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/OnlyCheeini/greesychat-turbo/f3a7f01c-2893-4887-a210-d126d9135edf.json b/data/hfopenllm_v2/OnlyCheeini/greesychat-turbo/f3a7f01c-2893-4887-a210-d126d9135edf.json
deleted file mode 100644
index 13048d7e9..000000000
--- a/data/hfopenllm_v2/OnlyCheeini/greesychat-turbo/f3a7f01c-2893-4887-a210-d126d9135edf.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/OnlyCheeini_greesychat-turbo/1762652579.7991328",
-  "retrieved_timestamp": "1762652579.799134",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "OnlyCheeini/greesychat-turbo",
-    "developer": "OnlyCheeini",
-    "inference_platform": "unknown",
-    "id": "OnlyCheeini/greesychat-turbo",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
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-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.023256071667619692
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.0
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2600671140939597
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3314270833333333
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11377992021276596
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Open-Orca/Mistral-7B-OpenOrca/ef384329-8406-4767-ac1a-3eba3131f726.json b/data/hfopenllm_v2/Open-Orca/Mistral-7B-OpenOrca/ef384329-8406-4767-ac1a-3eba3131f726.json
new file mode 100644
index 000000000..db0c0f414
--- /dev/null
+++ b/data/hfopenllm_v2/Open-Orca/Mistral-7B-OpenOrca/ef384329-8406-4767-ac1a-3eba3131f726.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Open-Orca_Mistral-7B-OpenOrca/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Mistral-7B-OpenOrca",
+    "id": "Open-Orca/Mistral-7B-OpenOrca",
+    "developer": "Open-Orca",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.0
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4978
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4768
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0355
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2718
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3858
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2653
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/OpenAssistant/oasst-sft-1-pythia-12b/2ddeae27-77d3-413c-a6e1-9de0f3980c4e.json b/data/hfopenllm_v2/OpenAssistant/oasst-sft-1-pythia-12b/2ddeae27-77d3-413c-a6e1-9de0f3980c4e.json
new file mode 100644
index 000000000..db24eb0bb
--- /dev/null
+++ b/data/hfopenllm_v2/OpenAssistant/oasst-sft-1-pythia-12b/2ddeae27-77d3-413c-a6e1-9de0f3980c4e.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/OpenAssistant_oasst-sft-1-pythia-12b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "oasst-sft-1-pythia-12b",
+    "id": "OpenAssistant/oasst-sft-1-pythia-12b",
+    "developer": "OpenAssistant",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "GPTNeoXForCausalLM",
+      "params_billions": 12.0
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1055
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3147
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0151
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2576
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3327
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1113
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/OpenAssistant/oasst-sft-1-pythia-12b/ba1129fd-f158-47ad-b194-7cff794b9ef2.json b/data/hfopenllm_v2/OpenAssistant/oasst-sft-1-pythia-12b/ba1129fd-f158-47ad-b194-7cff794b9ef2.json
deleted file mode 100644
index d45a90b6f..000000000
--- a/data/hfopenllm_v2/OpenAssistant/oasst-sft-1-pythia-12b/ba1129fd-f158-47ad-b194-7cff794b9ef2.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/OpenAssistant_oasst-sft-1-pythia-12b/1762652579.799746",
-  "retrieved_timestamp": "1762652579.799747",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "OpenAssistant/oasst-sft-1-pythia-12b",
-    "developer": "OpenAssistant",
-    "inference_platform": "unknown",
-    "id": "OpenAssistant/oasst-sft-1-pythia-12b",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "GPTNeoXForCausalLM",
-      "params_billions": 12.0
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.10553885911603435
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.314662875941371
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.015105740181268883
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2575503355704698
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.33269791666666665
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11128656914893617
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/OpenBuddy/openbuddy-falcon3-10b-v24.2-131k/19bba814-812c-49c2-acf1-9d056fd7d62d.json b/data/hfopenllm_v2/OpenBuddy/openbuddy-falcon3-10b-v24.2-131k/19bba814-812c-49c2-acf1-9d056fd7d62d.json
deleted file mode 100644
index 920fd5d52..000000000
--- a/data/hfopenllm_v2/OpenBuddy/openbuddy-falcon3-10b-v24.2-131k/19bba814-812c-49c2-acf1-9d056fd7d62d.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/OpenBuddy_openbuddy-falcon3-10b-v24.2-131k/1762652579.800029",
-  "retrieved_timestamp": "1762652579.80003",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "OpenBuddy/openbuddy-falcon3-10b-v24.2-131k",
-    "developer": "OpenBuddy",
-    "inference_platform": "unknown",
-    "id": "OpenBuddy/openbuddy-falcon3-10b-v24.2-131k",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 10.34
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-      },
-      "score_details": {
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-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
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-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.29949664429530204
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41864583333333333
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3833942819148936
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/OpenBuddy/openbuddy-falcon3-10b-v24.2-131k/38b2dbbe-be86-4ef0-a39b-89841f662141.json b/data/hfopenllm_v2/OpenBuddy/openbuddy-falcon3-10b-v24.2-131k/38b2dbbe-be86-4ef0-a39b-89841f662141.json
new file mode 100644
index 000000000..133f23b3d
--- /dev/null
+++ b/data/hfopenllm_v2/OpenBuddy/openbuddy-falcon3-10b-v24.2-131k/38b2dbbe-be86-4ef0-a39b-89841f662141.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/OpenBuddy_openbuddy-falcon3-10b-v24.2-131k/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "openbuddy-falcon3-10b-v24.2-131k",
+    "id": "OpenBuddy/openbuddy-falcon3-10b-v24.2-131k",
+    "developer": "OpenBuddy",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 10.34
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5086
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6004
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.213
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2995
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4186
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3834
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/OpenBuddy/openbuddy-llama3-70b-v21.2-32k/999a8091-22bd-4c08-bee1-772202e7edde.json b/data/hfopenllm_v2/OpenBuddy/openbuddy-llama3-70b-v21.2-32k/999a8091-22bd-4c08-bee1-772202e7edde.json
new file mode 100644
index 000000000..e76e849ca
--- /dev/null
+++ b/data/hfopenllm_v2/OpenBuddy/openbuddy-llama3-70b-v21.2-32k/999a8091-22bd-4c08-bee1-772202e7edde.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/OpenBuddy_openbuddy-llama3-70b-v21.2-32k/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "openbuddy-llama3-70b-v21.2-32k",
+    "id": "OpenBuddy/openbuddy-llama3-70b-v21.2-32k",
+    "developer": "OpenBuddy",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 70.554
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+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.701
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6507
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2032
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+    },
+    {
+      "evaluation_name": "GPQA",
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+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3423
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+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.458
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
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diff --git a/data/hfopenllm_v2/OpenBuddy/openbuddy-llama3-8b-v21.1-8k/fda91d98-d259-430c-929b-78852cab64ec.json b/data/hfopenllm_v2/OpenBuddy/openbuddy-llama3-8b-v21.1-8k/fda91d98-d259-430c-929b-78852cab64ec.json
new file mode 100644
index 000000000..38eedcf18
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new file mode 100644
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diff --git a/data/hfopenllm_v2/OpenBuddy/openbuddy-llama3.1-70b-v22.1-131k/681a6cc5-5519-4b13-8b50-93adcab4a3f7.json b/data/hfopenllm_v2/OpenBuddy/openbuddy-llama3.1-70b-v22.1-131k/681a6cc5-5519-4b13-8b50-93adcab4a3f7.json
new file mode 100644
index 000000000..e126a1c30
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diff --git a/data/hfopenllm_v2/OpenBuddy/openbuddy-llama3.1-8b-v22.2-131k/141dd12c-6901-4a96-a051-f35647ddcc73.json b/data/hfopenllm_v2/OpenBuddy/openbuddy-llama3.1-8b-v22.2-131k/141dd12c-6901-4a96-a051-f35647ddcc73.json
new file mode 100644
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diff --git a/data/hfopenllm_v2/OpenBuddy/openbuddy-llama3.1-8b-v22.3-131k/5b095779-aacc-41f3-9a3f-83f64a1c0d4c.json b/data/hfopenllm_v2/OpenBuddy/openbuddy-llama3.1-8b-v22.3-131k/5b095779-aacc-41f3-9a3f-83f64a1c0d4c.json
new file mode 100644
index 000000000..e33abbdfc
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/OpenBuddy/openbuddy-llama3.2-1b-v23.1-131k/7a88c95a-b253-4f36-8fde-1b0158bbf0b6.json b/data/hfopenllm_v2/OpenBuddy/openbuddy-llama3.2-1b-v23.1-131k/7a88c95a-b253-4f36-8fde-1b0158bbf0b6.json
new file mode 100644
index 000000000..55a086e2b
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/OpenBuddy/openbuddy-llama3.2-3b-v23.2-131k/7938a00e-4e11-4223-a900-fa53df168ab7.json b/data/hfopenllm_v2/OpenBuddy/openbuddy-llama3.2-3b-v23.2-131k/7938a00e-4e11-4223-a900-fa53df168ab7.json
new file mode 100644
index 000000000..c20150989
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@@ -0,0 +1,132 @@
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/OpenBuddy/openbuddy-llama3.3-70b-v24.1-131k/8f966b4e-1baf-445f-9f10-4ba6b47aaf9b.json b/data/hfopenllm_v2/OpenBuddy/openbuddy-llama3.3-70b-v24.1-131k/8f966b4e-1baf-445f-9f10-4ba6b47aaf9b.json
new file mode 100644
index 000000000..97d54e843
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@@ -0,0 +1,132 @@
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/OpenBuddy/openbuddy-mixtral-7bx8-v18.1-32k/247ee47c-e441-4020-97e3-14e3ed8d22c9.json b/data/hfopenllm_v2/OpenBuddy/openbuddy-mixtral-7bx8-v18.1-32k/247ee47c-e441-4020-97e3-14e3ed8d22c9.json
deleted file mode 100644
index 3948cb4fb..000000000
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diff --git a/data/hfopenllm_v2/OpenBuddy/openbuddy-mixtral-7bx8-v18.1-32k/a334d998-21a5-4108-96e3-9935507a9f8f.json b/data/hfopenllm_v2/OpenBuddy/openbuddy-mixtral-7bx8-v18.1-32k/a334d998-21a5-4108-96e3-9935507a9f8f.json
new file mode 100644
index 000000000..25e129f68
--- /dev/null
+++ b/data/hfopenllm_v2/OpenBuddy/openbuddy-mixtral-7bx8-v18.1-32k/a334d998-21a5-4108-96e3-9935507a9f8f.json
@@ -0,0 +1,132 @@
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/OpenBuddy/openbuddy-nemotron-70b-v23.1-131k/941e27c6-81da-4ce1-b1c8-544c1426cd11.json b/data/hfopenllm_v2/OpenBuddy/openbuddy-nemotron-70b-v23.1-131k/941e27c6-81da-4ce1-b1c8-544c1426cd11.json
new file mode 100644
index 000000000..83c193063
--- /dev/null
+++ b/data/hfopenllm_v2/OpenBuddy/openbuddy-nemotron-70b-v23.1-131k/941e27c6-81da-4ce1-b1c8-544c1426cd11.json
@@ -0,0 +1,132 @@
+{
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+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
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+    "source_type": "documentation",
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+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "openbuddy-nemotron-70b-v23.1-131k",
+    "id": "OpenBuddy/openbuddy-nemotron-70b-v23.1-131k",
+    "developer": "OpenBuddy",
+    "inference_platform": "unknown",
+    "additional_details": {
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+      "architecture": "LlamaForCausalLM",
+      "params_billions": 70.554
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
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+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "max_score": 1.0
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+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
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+        "hf_repo": "Idavidrein/gpqa"
+      },
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
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+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
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+        "hf_repo": "TIGER-Lab/MMLU-Pro"
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+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/OpenBuddy/openbuddy-nemotron-70b-v23.1-131k/e4e4d8f4-7e49-4b08-8a08-97e4e2c28616.json b/data/hfopenllm_v2/OpenBuddy/openbuddy-nemotron-70b-v23.1-131k/e4e4d8f4-7e49-4b08-8a08-97e4e2c28616.json
deleted file mode 100644
index e78e895e4..000000000
--- a/data/hfopenllm_v2/OpenBuddy/openbuddy-nemotron-70b-v23.1-131k/e4e4d8f4-7e49-4b08-8a08-97e4e2c28616.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/OpenBuddy/openbuddy-nemotron-70b-v23.2-131k/b34ca7d7-6049-4f4f-a2e3-db736009fa4d.json b/data/hfopenllm_v2/OpenBuddy/openbuddy-nemotron-70b-v23.2-131k/b34ca7d7-6049-4f4f-a2e3-db736009fa4d.json
deleted file mode 100644
index 337319d78..000000000
--- a/data/hfopenllm_v2/OpenBuddy/openbuddy-nemotron-70b-v23.2-131k/b34ca7d7-6049-4f4f-a2e3-db736009fa4d.json
+++ /dev/null
@@ -1,105 +0,0 @@
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-    "source_type": "documentation"
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-    "developer": "OpenBuddy",
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-        "score_type": "continuous",
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-    {
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diff --git a/data/hfopenllm_v2/OpenBuddy/openbuddy-nemotron-70b-v23.2-131k/e409a374-685b-482d-82e4-2436dca37309.json b/data/hfopenllm_v2/OpenBuddy/openbuddy-nemotron-70b-v23.2-131k/e409a374-685b-482d-82e4-2436dca37309.json
new file mode 100644
index 000000000..d6fb1a342
--- /dev/null
+++ b/data/hfopenllm_v2/OpenBuddy/openbuddy-nemotron-70b-v23.2-131k/e409a374-685b-482d-82e4-2436dca37309.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/OpenBuddy_openbuddy-nemotron-70b-v23.2-131k/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "openbuddy-nemotron-70b-v23.2-131k",
+    "id": "OpenBuddy/openbuddy-nemotron-70b-v23.2-131k",
+    "developer": "OpenBuddy",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 70.554
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7227
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+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6705
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
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+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3599
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4696
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+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5121
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/OpenBuddy/openbuddy-qwen2.5llamaify-14b-v23.1-200k/84713625-97b6-4fad-982d-41b5c500d73a.json b/data/hfopenllm_v2/OpenBuddy/openbuddy-qwen2.5llamaify-14b-v23.1-200k/84713625-97b6-4fad-982d-41b5c500d73a.json
new file mode 100644
index 000000000..d8cf89afa
--- /dev/null
+++ b/data/hfopenllm_v2/OpenBuddy/openbuddy-qwen2.5llamaify-14b-v23.1-200k/84713625-97b6-4fad-982d-41b5c500d73a.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/OpenBuddy_openbuddy-qwen2.5llamaify-14b-v23.1-200k/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "openbuddy-qwen2.5llamaify-14b-v23.1-200k",
+    "id": "OpenBuddy/openbuddy-qwen2.5llamaify-14b-v23.1-200k",
+    "developer": "OpenBuddy",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 14.77
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+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6309
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6013
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2538
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3331
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.424
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4673
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/OpenBuddy/openbuddy-qwen2.5llamaify-14b-v23.3-200k/b7edd9ab-a018-4b2f-9b01-b56cbe98abda.json b/data/hfopenllm_v2/OpenBuddy/openbuddy-qwen2.5llamaify-14b-v23.3-200k/b7edd9ab-a018-4b2f-9b01-b56cbe98abda.json
new file mode 100644
index 000000000..e24023046
--- /dev/null
+++ b/data/hfopenllm_v2/OpenBuddy/openbuddy-qwen2.5llamaify-14b-v23.3-200k/b7edd9ab-a018-4b2f-9b01-b56cbe98abda.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/OpenBuddy_openbuddy-qwen2.5llamaify-14b-v23.3-200k/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "openbuddy-qwen2.5llamaify-14b-v23.3-200k",
+    "id": "OpenBuddy/openbuddy-qwen2.5llamaify-14b-v23.3-200k",
+    "developer": "OpenBuddy",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 14.77
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6131
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6081
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2311
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3272
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4346
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4795
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/OpenBuddy/openbuddy-qwen2.5llamaify-7b-v23.1-200k/ec896115-21ef-4337-9fdd-32a04c574a05.json b/data/hfopenllm_v2/OpenBuddy/openbuddy-qwen2.5llamaify-7b-v23.1-200k/ec896115-21ef-4337-9fdd-32a04c574a05.json
new file mode 100644
index 000000000..56c75d371
--- /dev/null
+++ b/data/hfopenllm_v2/OpenBuddy/openbuddy-qwen2.5llamaify-7b-v23.1-200k/ec896115-21ef-4337-9fdd-32a04c574a05.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/OpenBuddy_openbuddy-qwen2.5llamaify-7b-v23.1-200k/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "openbuddy-qwen2.5llamaify-7b-v23.1-200k",
+    "id": "OpenBuddy/openbuddy-qwen2.5llamaify-7b-v23.1-200k",
+    "developer": "OpenBuddy",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 7.615
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5673
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5509
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1888
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3146
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4363
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3948
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/OpenBuddy/openbuddy-qwq-32b-v24.1-200k/a2b990cd-e692-44fc-8b39-ac91eab85cef.json b/data/hfopenllm_v2/OpenBuddy/openbuddy-qwq-32b-v24.1-200k/a2b990cd-e692-44fc-8b39-ac91eab85cef.json
deleted file mode 100644
index c6e141c00..000000000
--- a/data/hfopenllm_v2/OpenBuddy/openbuddy-qwq-32b-v24.1-200k/a2b990cd-e692-44fc-8b39-ac91eab85cef.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/OpenBuddy_openbuddy-qwq-32b-v24.1-200k/1762652579.804893",
-  "retrieved_timestamp": "1762652579.804894",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "OpenBuddy/openbuddy-qwq-32b-v24.1-200k",
-    "developer": "OpenBuddy",
-    "inference_platform": "unknown",
-    "id": "OpenBuddy/openbuddy-qwq-32b-v24.1-200k",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 32.764
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.593661484860171
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6798496773637743
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37386706948640486
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3808724832214765
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.484875
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5490359042553191
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/OpenBuddy/openbuddy-qwq-32b-v24.1-200k/d8e5f49b-7bf3-41d4-a91e-c566219609f6.json b/data/hfopenllm_v2/OpenBuddy/openbuddy-qwq-32b-v24.1-200k/d8e5f49b-7bf3-41d4-a91e-c566219609f6.json
new file mode 100644
index 000000000..45a21bb0f
--- /dev/null
+++ b/data/hfopenllm_v2/OpenBuddy/openbuddy-qwq-32b-v24.1-200k/d8e5f49b-7bf3-41d4-a91e-c566219609f6.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/OpenBuddy_openbuddy-qwq-32b-v24.1-200k/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "openbuddy-qwq-32b-v24.1-200k",
+    "id": "OpenBuddy/openbuddy-qwq-32b-v24.1-200k",
+    "developer": "OpenBuddy",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 32.764
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5937
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6798
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3739
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3809
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4849
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.549
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/OpenBuddy/openbuddy-qwq-32b-v24.2-200k/24684939-5eb8-40b1-99dd-1ebe693680fc.json b/data/hfopenllm_v2/OpenBuddy/openbuddy-qwq-32b-v24.2-200k/24684939-5eb8-40b1-99dd-1ebe693680fc.json
deleted file mode 100644
index fe88d9d40..000000000
--- a/data/hfopenllm_v2/OpenBuddy/openbuddy-qwq-32b-v24.2-200k/24684939-5eb8-40b1-99dd-1ebe693680fc.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/OpenBuddy_openbuddy-qwq-32b-v24.2-200k/1762652579.8051221",
-  "retrieved_timestamp": "1762652579.8051221",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "OpenBuddy/openbuddy-qwq-32b-v24.2-200k",
-    "developer": "OpenBuddy",
-    "inference_platform": "unknown",
-    "id": "OpenBuddy/openbuddy-qwq-32b-v24.2-200k",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 32.764
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
-        "score": 0.3766778523489933
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-    },
-    {
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-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.47179166666666666
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5446309840425532
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/OpenBuddy/openbuddy-qwq-32b-v24.2-200k/ce1a92a3-6bec-410f-ab42-c567c5d23856.json b/data/hfopenllm_v2/OpenBuddy/openbuddy-qwq-32b-v24.2-200k/ce1a92a3-6bec-410f-ab42-c567c5d23856.json
new file mode 100644
index 000000000..74da68126
--- /dev/null
+++ b/data/hfopenllm_v2/OpenBuddy/openbuddy-qwq-32b-v24.2-200k/ce1a92a3-6bec-410f-ab42-c567c5d23856.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/OpenBuddy_openbuddy-qwq-32b-v24.2-200k/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "openbuddy-qwq-32b-v24.2-200k",
+    "id": "OpenBuddy/openbuddy-qwq-32b-v24.2-200k",
+    "developer": "OpenBuddy",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 32.764
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.597
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6772
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3776
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3767
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4718
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5446
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/OpenBuddy/openbuddy-yi1.5-34b-v21.3-32k/0a125470-b50f-4ca0-90dc-1f6b69c3ccd4.json b/data/hfopenllm_v2/OpenBuddy/openbuddy-yi1.5-34b-v21.3-32k/0a125470-b50f-4ca0-90dc-1f6b69c3ccd4.json
new file mode 100644
index 000000000..ee9bc7580
--- /dev/null
+++ b/data/hfopenllm_v2/OpenBuddy/openbuddy-yi1.5-34b-v21.3-32k/0a125470-b50f-4ca0-90dc-1f6b69c3ccd4.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/OpenBuddy_openbuddy-yi1.5-34b-v21.3-32k/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "openbuddy-yi1.5-34b-v21.3-32k",
+    "id": "OpenBuddy/openbuddy-yi1.5-34b-v21.3-32k",
+    "developer": "OpenBuddy",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 34.407
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.542
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6163
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1782
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.349
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4439
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4599
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/OpenBuddy/openbuddy-yi1.5-34b-v21.3-32k/f6a36220-0b31-4b0d-9262-7e0e508e64db.json b/data/hfopenllm_v2/OpenBuddy/openbuddy-yi1.5-34b-v21.3-32k/f6a36220-0b31-4b0d-9262-7e0e508e64db.json
deleted file mode 100644
index 6ec632247..000000000
--- a/data/hfopenllm_v2/OpenBuddy/openbuddy-yi1.5-34b-v21.3-32k/f6a36220-0b31-4b0d-9262-7e0e508e64db.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/OpenBuddy_openbuddy-yi1.5-34b-v21.3-32k/1762652579.8053398",
-  "retrieved_timestamp": "1762652579.805341",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "OpenBuddy/openbuddy-yi1.5-34b-v21.3-32k",
-    "developer": "OpenBuddy",
-    "inference_platform": "unknown",
-    "id": "OpenBuddy/openbuddy-yi1.5-34b-v21.3-32k",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 34.407
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-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6162574860411373
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.348993288590604
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.44394791666666666
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4599401595744681
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/OpenBuddy/openbuddy-zero-14b-v22.3-32k/0e288116-902d-4fef-9020-a3a4dc80e698.json b/data/hfopenllm_v2/OpenBuddy/openbuddy-zero-14b-v22.3-32k/0e288116-902d-4fef-9020-a3a4dc80e698.json
deleted file mode 100644
index 534d7cb4a..000000000
--- a/data/hfopenllm_v2/OpenBuddy/openbuddy-zero-14b-v22.3-32k/0e288116-902d-4fef-9020-a3a4dc80e698.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/OpenBuddy_openbuddy-zero-14b-v22.3-32k/1762652579.805548",
-  "retrieved_timestamp": "1762652579.8055491",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "OpenBuddy/openbuddy-zero-14b-v22.3-32k",
-    "developer": "OpenBuddy",
-    "inference_platform": "unknown",
-    "id": "OpenBuddy/openbuddy-zero-14b-v22.3-32k",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 14.022
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37529200299649373
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4859759816473639
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.09365558912386707
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3070469798657718
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41660416666666666
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3187333776595745
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/OpenBuddy/openbuddy-zero-14b-v22.3-32k/aeee0165-ac7e-4da6-8102-ba60f43587de.json b/data/hfopenllm_v2/OpenBuddy/openbuddy-zero-14b-v22.3-32k/aeee0165-ac7e-4da6-8102-ba60f43587de.json
new file mode 100644
index 000000000..fe9fb2d74
--- /dev/null
+++ b/data/hfopenllm_v2/OpenBuddy/openbuddy-zero-14b-v22.3-32k/aeee0165-ac7e-4da6-8102-ba60f43587de.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/OpenBuddy_openbuddy-zero-14b-v22.3-32k/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "openbuddy-zero-14b-v22.3-32k",
+    "id": "OpenBuddy/openbuddy-zero-14b-v22.3-32k",
+    "developer": "OpenBuddy",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 14.022
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
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+        "lower_is_better": false,
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.486
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+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+      "score_details": {
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+    },
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
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+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
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+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3187
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/OpenBuddy/openbuddy-zero-3b-v21.2-32k/9d135662-43d6-4b05-90cb-5d2c856b0b89.json b/data/hfopenllm_v2/OpenBuddy/openbuddy-zero-3b-v21.2-32k/9d135662-43d6-4b05-90cb-5d2c856b0b89.json
deleted file mode 100644
index a18249901..000000000
--- a/data/hfopenllm_v2/OpenBuddy/openbuddy-zero-3b-v21.2-32k/9d135662-43d6-4b05-90cb-5d2c856b0b89.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-    "source_name": "HF Open LLM v2",
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-        "score_type": "continuous",
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-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-}
diff --git a/data/hfopenllm_v2/OpenBuddy/openbuddy-zero-3b-v21.2-32k/b47b8666-2556-45df-ba5b-9a5e94186784.json b/data/hfopenllm_v2/OpenBuddy/openbuddy-zero-3b-v21.2-32k/b47b8666-2556-45df-ba5b-9a5e94186784.json
new file mode 100644
index 000000000..8ba48e7a5
--- /dev/null
+++ b/data/hfopenllm_v2/OpenBuddy/openbuddy-zero-3b-v21.2-32k/b47b8666-2556-45df-ba5b-9a5e94186784.json
@@ -0,0 +1,132 @@
+{
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+  "evaluation_id": "hfopenllm_v2/OpenBuddy_openbuddy-zero-3b-v21.2-32k/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "openbuddy-zero-3b-v21.2-32k",
+    "id": "OpenBuddy/openbuddy-zero-3b-v21.2-32k",
+    "developer": "OpenBuddy",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 4.769
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3802
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3935
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0189
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2601
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3566
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2034
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/OpenBuddy/openbuddy-zero-56b-v21.2-32k/0bde5d57-39be-4497-a2a8-d08d3c8d65f4.json b/data/hfopenllm_v2/OpenBuddy/openbuddy-zero-56b-v21.2-32k/0bde5d57-39be-4497-a2a8-d08d3c8d65f4.json
new file mode 100644
index 000000000..bcede16a0
--- /dev/null
+++ b/data/hfopenllm_v2/OpenBuddy/openbuddy-zero-56b-v21.2-32k/0bde5d57-39be-4497-a2a8-d08d3c8d65f4.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/OpenBuddy_openbuddy-zero-56b-v21.2-32k/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "openbuddy-zero-56b-v21.2-32k",
+    "id": "OpenBuddy/openbuddy-zero-56b-v21.2-32k",
+    "developer": "OpenBuddy",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 56.707
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5057
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6128
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1624
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.318
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4305
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4399
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/OpenBuddy/openbuddy-zero-56b-v21.2-32k/7636a893-1404-4257-9778-653f3cfb601b.json b/data/hfopenllm_v2/OpenBuddy/openbuddy-zero-56b-v21.2-32k/7636a893-1404-4257-9778-653f3cfb601b.json
deleted file mode 100644
index ce7659b30..000000000
--- a/data/hfopenllm_v2/OpenBuddy/openbuddy-zero-56b-v21.2-32k/7636a893-1404-4257-9778-653f3cfb601b.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/OpenBuddy_openbuddy-zero-56b-v21.2-32k/1762652579.8059928",
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-  "source_data": [
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-  "source_metadata": {
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
-    "name": "OpenBuddy/openbuddy-zero-56b-v21.2-32k",
-    "developer": "OpenBuddy",
-    "inference_platform": "unknown",
-    "id": "OpenBuddy/openbuddy-zero-56b-v21.2-32k",
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-      "architecture": "LlamaForCausalLM",
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-        "min_score": 0,
-        "max_score": 1
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-    {
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-    {
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-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-    {
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-        "evaluation_description": "Accuracy on MUSR",
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4305208333333333
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-  ]
-}
diff --git a/data/hfopenllm_v2/OpenGenerativeAI/Bifrost-14B/86599961-3ec2-4837-89a4-809f1dd7226c.json b/data/hfopenllm_v2/OpenGenerativeAI/Bifrost-14B/86599961-3ec2-4837-89a4-809f1dd7226c.json
new file mode 100644
index 000000000..e930a3e87
--- /dev/null
+++ b/data/hfopenllm_v2/OpenGenerativeAI/Bifrost-14B/86599961-3ec2-4837-89a4-809f1dd7226c.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/OpenGenerativeAI_Bifrost-14B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Bifrost-14B",
+    "id": "OpenGenerativeAI/Bifrost-14B",
+    "developer": "OpenGenerativeAI",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 14.66
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6615
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6845
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2356
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3792
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4624
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5074
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/OpenGenerativeAI/Bifrost-14B/cde00174-ac52-42da-9641-0866739232e4.json b/data/hfopenllm_v2/OpenGenerativeAI/Bifrost-14B/cde00174-ac52-42da-9641-0866739232e4.json
deleted file mode 100644
index 9ea89d92a..000000000
--- a/data/hfopenllm_v2/OpenGenerativeAI/Bifrost-14B/cde00174-ac52-42da-9641-0866739232e4.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/OpenGenerativeAI_Bifrost-14B/1762652579.806474",
-  "retrieved_timestamp": "1762652579.806475",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "OpenGenerativeAI/Bifrost-14B",
-    "developer": "OpenGenerativeAI",
-    "inference_platform": "unknown",
-    "id": "OpenGenerativeAI/Bifrost-14B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 14.66
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6615302951723648
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6844897889249308
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.23564954682779457
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37919463087248323
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.46239583333333334
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5073969414893617
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/OpenGenerativeAI/Bifrost/cef8e01a-071d-4ee4-997b-44679ef5b56e.json b/data/hfopenllm_v2/OpenGenerativeAI/Bifrost/cef8e01a-071d-4ee4-997b-44679ef5b56e.json
deleted file mode 100644
index 1a4187ef0..000000000
--- a/data/hfopenllm_v2/OpenGenerativeAI/Bifrost/cef8e01a-071d-4ee4-997b-44679ef5b56e.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/OpenGenerativeAI_Bifrost/1762652579.8062131",
-  "retrieved_timestamp": "1762652579.8062139",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "OpenGenerativeAI/Bifrost",
-    "developer": "OpenGenerativeAI",
-    "inference_platform": "unknown",
-    "id": "OpenGenerativeAI/Bifrost",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 14.66
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6347524568145853
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6849273974523276
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2545317220543807
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.36828859060402686
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.45976041666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5159574468085106
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/OpenGenerativeAI/Bifrost/dc3ca25e-41b2-4206-afaa-7d2d10fd27a7.json b/data/hfopenllm_v2/OpenGenerativeAI/Bifrost/dc3ca25e-41b2-4206-afaa-7d2d10fd27a7.json
new file mode 100644
index 000000000..9269d76e2
--- /dev/null
+++ b/data/hfopenllm_v2/OpenGenerativeAI/Bifrost/dc3ca25e-41b2-4206-afaa-7d2d10fd27a7.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/OpenGenerativeAI_Bifrost/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Bifrost",
+    "id": "OpenGenerativeAI/Bifrost",
+    "developer": "OpenGenerativeAI",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 14.66
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6348
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6849
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2545
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3683
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4598
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.516
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/OpenLLM-France/Lucie-7B-Instruct-human-data/26787f2b-8f30-4cc8-b39e-447b8c53aa85.json b/data/hfopenllm_v2/OpenLLM-France/Lucie-7B-Instruct-human-data/26787f2b-8f30-4cc8-b39e-447b8c53aa85.json
deleted file mode 100644
index f56cb745f..000000000
--- a/data/hfopenllm_v2/OpenLLM-France/Lucie-7B-Instruct-human-data/26787f2b-8f30-4cc8-b39e-447b8c53aa85.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/OpenLLM-France_Lucie-7B-Instruct-human-data/1762652579.8072178",
-  "retrieved_timestamp": "1762652579.807219",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "OpenLLM-France/Lucie-7B-Instruct-human-data",
-    "developer": "OpenLLM-France",
-    "inference_platform": "unknown",
-    "id": "OpenLLM-France/Lucie-7B-Instruct-human-data",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 6.707
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.29460830596151544
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.32842533479733
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.02190332326283988
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2751677852348993
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37285416666666665
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.14295212765957446
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/OpenLLM-France/Lucie-7B-Instruct-human-data/cd77d407-3be3-4b84-8a73-34a15744de93.json b/data/hfopenllm_v2/OpenLLM-France/Lucie-7B-Instruct-human-data/cd77d407-3be3-4b84-8a73-34a15744de93.json
new file mode 100644
index 000000000..1f47bfd03
--- /dev/null
+++ b/data/hfopenllm_v2/OpenLLM-France/Lucie-7B-Instruct-human-data/cd77d407-3be3-4b84-8a73-34a15744de93.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/OpenLLM-France_Lucie-7B-Instruct-human-data/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Lucie-7B-Instruct-human-data",
+    "id": "OpenLLM-France/Lucie-7B-Instruct-human-data",
+    "developer": "OpenLLM-France",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 6.707
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2946
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3284
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0219
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2752
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3729
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.143
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/OpenLLM-France/Lucie-7B-Instruct-v1.1/1cd20db5-0225-4724-b1f9-7c32eae456e1.json b/data/hfopenllm_v2/OpenLLM-France/Lucie-7B-Instruct-v1.1/1cd20db5-0225-4724-b1f9-7c32eae456e1.json
new file mode 100644
index 000000000..0a5903536
--- /dev/null
+++ b/data/hfopenllm_v2/OpenLLM-France/Lucie-7B-Instruct-v1.1/1cd20db5-0225-4724-b1f9-7c32eae456e1.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/OpenLLM-France_Lucie-7B-Instruct-v1.1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Lucie-7B-Instruct-v1.1",
+    "id": "OpenLLM-France/Lucie-7B-Instruct-v1.1",
+    "developer": "OpenLLM-France",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 6.707
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3039
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3816
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0317
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2819
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.375
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1864
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/OpenLLM-France/Lucie-7B-Instruct-v1.1/e94a0550-93fa-448a-a4a4-187fd1b7d24e.json b/data/hfopenllm_v2/OpenLLM-France/Lucie-7B-Instruct-v1.1/e94a0550-93fa-448a-a4a4-187fd1b7d24e.json
deleted file mode 100644
index 8546653f3..000000000
--- a/data/hfopenllm_v2/OpenLLM-France/Lucie-7B-Instruct-v1.1/e94a0550-93fa-448a-a4a4-187fd1b7d24e.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/OpenLLM-France_Lucie-7B-Instruct-v1.1/1762652579.807442",
-  "retrieved_timestamp": "1762652579.807442",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "OpenLLM-France/Lucie-7B-Instruct-v1.1",
-    "developer": "OpenLLM-France",
-    "inference_platform": "unknown",
-    "id": "OpenLLM-France/Lucie-7B-Instruct-v1.1",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 6.707
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-      "evaluation_name": "BBH",
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-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.03172205438066465
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.28187919463087246
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37502083333333336
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1864195478723404
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/OpenLLM-France/Lucie-7B-Instruct/af17be77-0ae3-4b90-ba85-a4886450cd43.json b/data/hfopenllm_v2/OpenLLM-France/Lucie-7B-Instruct/af17be77-0ae3-4b90-ba85-a4886450cd43.json
deleted file mode 100644
index c3c2bb7a1..000000000
--- a/data/hfopenllm_v2/OpenLLM-France/Lucie-7B-Instruct/af17be77-0ae3-4b90-ba85-a4886450cd43.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/OpenLLM-France_Lucie-7B-Instruct/1762652579.806944",
-  "retrieved_timestamp": "1762652579.806945",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "OpenLLM-France/Lucie-7B-Instruct",
-    "developer": "OpenLLM-France",
-    "inference_platform": "unknown",
-    "id": "OpenLLM-France/Lucie-7B-Instruct",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 6.707
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-    },
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-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
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-        "score": 0.3254036581260458
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
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-        "score": 0.01661631419939577
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.27936241610738255
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.36621875
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.15558510638297873
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/OpenLLM-France/Lucie-7B-Instruct/dfc45dc3-51e6-454b-aee9-ea6b0714f0ca.json b/data/hfopenllm_v2/OpenLLM-France/Lucie-7B-Instruct/dfc45dc3-51e6-454b-aee9-ea6b0714f0ca.json
new file mode 100644
index 000000000..16a3cc3c6
--- /dev/null
+++ b/data/hfopenllm_v2/OpenLLM-France/Lucie-7B-Instruct/dfc45dc3-51e6-454b-aee9-ea6b0714f0ca.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/OpenLLM-France_Lucie-7B-Instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Lucie-7B-Instruct",
+    "id": "OpenLLM-France/Lucie-7B-Instruct",
+    "developer": "OpenLLM-France",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 6.707
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2796
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3254
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0166
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2794
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3662
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1556
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/OpenLLM-France/Lucie-7B/01e4cd19-4f1f-4c30-b80f-e1d287d5d7c2.json b/data/hfopenllm_v2/OpenLLM-France/Lucie-7B/01e4cd19-4f1f-4c30-b80f-e1d287d5d7c2.json
deleted file mode 100644
index c51f2c44e..000000000
--- a/data/hfopenllm_v2/OpenLLM-France/Lucie-7B/01e4cd19-4f1f-4c30-b80f-e1d287d5d7c2.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/OpenLLM-France_Lucie-7B/1762652579.806693",
-  "retrieved_timestamp": "1762652579.8066938",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "OpenLLM-France/Lucie-7B",
-    "developer": "OpenLLM-France",
-    "inference_platform": "unknown",
-    "id": "OpenLLM-France/Lucie-7B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 6.707
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.24964538535530173
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3492469872973046
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2726510067114094
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
-        "score": 0.39232291666666663
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.14976728723404256
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-  ]
-}
diff --git a/data/hfopenllm_v2/OpenLLM-France/Lucie-7B/3da2a408-672c-47b8-be32-61f56a15e9f3.json b/data/hfopenllm_v2/OpenLLM-France/Lucie-7B/3da2a408-672c-47b8-be32-61f56a15e9f3.json
new file mode 100644
index 000000000..be1189595
--- /dev/null
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diff --git a/data/hfopenllm_v2/OpenLeecher/llama3-8b-lima/94700c3c-f18d-4f96-a794-65bcf483fca9.json b/data/hfopenllm_v2/OpenLeecher/llama3-8b-lima/94700c3c-f18d-4f96-a794-65bcf483fca9.json
new file mode 100644
index 000000000..63e1ec99a
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+++ b/data/hfopenllm_v2/OpenLeecher/llama3-8b-lima/94700c3c-f18d-4f96-a794-65bcf483fca9.json
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diff --git a/data/hfopenllm_v2/OpenScholar/Llama-3.1_OpenScholar-8B/6f3481d4-076f-45bd-8564-d485109c7a63.json b/data/hfopenllm_v2/OpenScholar/Llama-3.1_OpenScholar-8B/6f3481d4-076f-45bd-8564-d485109c7a63.json
new file mode 100644
index 000000000..38d1da240
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diff --git a/data/hfopenllm_v2/Orenguteng/Llama-3.1-8B-Lexi-Uncensored-V2/9f5ca3b2-747a-4fd0-b382-bf7ef503ba25.json b/data/hfopenllm_v2/Orenguteng/Llama-3.1-8B-Lexi-Uncensored-V2/9f5ca3b2-747a-4fd0-b382-bf7ef503ba25.json
new file mode 100644
index 000000000..3461ecd6d
--- /dev/null
+++ b/data/hfopenllm_v2/Orenguteng/Llama-3.1-8B-Lexi-Uncensored-V2/9f5ca3b2-747a-4fd0-b382-bf7ef503ba25.json
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/Orenguteng/Llama-3.1-8B-Lexi-Uncensored/f1932041-263a-4841-9c8b-c6cc9fa50c21.json b/data/hfopenllm_v2/Orenguteng/Llama-3.1-8B-Lexi-Uncensored/f1932041-263a-4841-9c8b-c6cc9fa50c21.json
new file mode 100644
index 000000000..e8f2ea31c
--- /dev/null
+++ b/data/hfopenllm_v2/Orenguteng/Llama-3.1-8B-Lexi-Uncensored/f1932041-263a-4841-9c8b-c6cc9fa50c21.json
@@ -0,0 +1,132 @@
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+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3871
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.379
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Orion-zhen/Qwen2.5-7B-Instruct-Uncensored/141239bb-c7e3-4c38-b289-12cd59f592d2.json b/data/hfopenllm_v2/Orion-zhen/Qwen2.5-7B-Instruct-Uncensored/141239bb-c7e3-4c38-b289-12cd59f592d2.json
deleted file mode 100644
index c456e1b50..000000000
--- a/data/hfopenllm_v2/Orion-zhen/Qwen2.5-7B-Instruct-Uncensored/141239bb-c7e3-4c38-b289-12cd59f592d2.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Orion-zhen_Qwen2.5-7B-Instruct-Uncensored/1762652579.808624",
-  "retrieved_timestamp": "1762652579.808625",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Orion-zhen/Qwen2.5-7B-Instruct-Uncensored",
-    "developer": "Orion-zhen",
-    "inference_platform": "unknown",
-    "id": "Orion-zhen/Qwen2.5-7B-Instruct-Uncensored",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.616
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7204317876567508
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5473918652157296
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4773413897280967
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3028523489932886
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.43613541666666666
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4426529255319149
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Orion-zhen/Qwen2.5-7B-Instruct-Uncensored/691bef38-bc9e-4f8d-b774-9d7c62eec72b.json b/data/hfopenllm_v2/Orion-zhen/Qwen2.5-7B-Instruct-Uncensored/691bef38-bc9e-4f8d-b774-9d7c62eec72b.json
new file mode 100644
index 000000000..1eff33056
--- /dev/null
+++ b/data/hfopenllm_v2/Orion-zhen/Qwen2.5-7B-Instruct-Uncensored/691bef38-bc9e-4f8d-b774-9d7c62eec72b.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Orion-zhen_Qwen2.5-7B-Instruct-Uncensored/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-7B-Instruct-Uncensored",
+    "id": "Orion-zhen/Qwen2.5-7B-Instruct-Uncensored",
+    "developer": "Orion-zhen",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7204
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5474
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4773
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3029
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4361
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4427
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Orion-zhen/phi-4-abliterated/5795f693-9ebc-47c6-9d2c-185dd0d32044.json b/data/hfopenllm_v2/Orion-zhen/phi-4-abliterated/5795f693-9ebc-47c6-9d2c-185dd0d32044.json
new file mode 100644
index 000000000..93b48af5e
--- /dev/null
+++ b/data/hfopenllm_v2/Orion-zhen/phi-4-abliterated/5795f693-9ebc-47c6-9d2c-185dd0d32044.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Orion-zhen_phi-4-abliterated/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "phi-4-abliterated",
+    "id": "Orion-zhen/phi-4-abliterated",
+    "developer": "Orion-zhen",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Phi3ForCausalLM",
+      "params_billions": 14.66
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0576
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6698
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3021
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4044
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5006
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5292
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/P0x0/Astra-v1-12B/349ae5f5-55d0-4486-a6dc-2b5644fac045.json b/data/hfopenllm_v2/P0x0/Astra-v1-12B/349ae5f5-55d0-4486-a6dc-2b5644fac045.json
deleted file mode 100644
index aaf4a92a5..000000000
--- a/data/hfopenllm_v2/P0x0/Astra-v1-12B/349ae5f5-55d0-4486-a6dc-2b5644fac045.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/P0x0_Astra-v1-12B/1762652579.8091059",
-  "retrieved_timestamp": "1762652579.8091059",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "P0x0/Astra-v1-12B",
-    "developer": "P0x0",
-    "inference_platform": "unknown",
-    "id": "P0x0/Astra-v1-12B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 12.248
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.28059437847134494
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5214506484138984
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11329305135951662
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.313758389261745
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4051875
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3460771276595745
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/P0x0/Astra-v1-12B/eb83f474-0d3d-488c-bc0f-93e5d1dfb2f3.json b/data/hfopenllm_v2/P0x0/Astra-v1-12B/eb83f474-0d3d-488c-bc0f-93e5d1dfb2f3.json
new file mode 100644
index 000000000..0751e8835
--- /dev/null
+++ b/data/hfopenllm_v2/P0x0/Astra-v1-12B/eb83f474-0d3d-488c-bc0f-93e5d1dfb2f3.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/P0x0_Astra-v1-12B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Astra-v1-12B",
+    "id": "P0x0/Astra-v1-12B",
+    "developer": "P0x0",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 12.248
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2806
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5215
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1133
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3138
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4052
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3461
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/PJMixers-Dev/L3.2-Instruct-Thinking-v0.1-1B/3c942d2f-0b53-498e-ab05-71d5075cb974.json b/data/hfopenllm_v2/PJMixers-Dev/L3.2-Instruct-Thinking-v0.1-1B/3c942d2f-0b53-498e-ab05-71d5075cb974.json
deleted file mode 100644
index ca7658046..000000000
--- a/data/hfopenllm_v2/PJMixers-Dev/L3.2-Instruct-Thinking-v0.1-1B/3c942d2f-0b53-498e-ab05-71d5075cb974.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/PJMixers-Dev_L3.2-Instruct-Thinking-v0.1-1B/1762652579.8095942",
-  "retrieved_timestamp": "1762652579.8095949",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "PJMixers-Dev/L3.2-Instruct-Thinking-v0.1-1B",
-    "developer": "PJMixers-Dev",
-    "inference_platform": "unknown",
-    "id": "PJMixers-Dev/L3.2-Instruct-Thinking-v0.1-1B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 1.236
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.46276989498973836
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.33018063718974094
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.054380664652567974
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2575503355704698
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.32621875
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.14827127659574468
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/PJMixers-Dev/L3.2-Instruct-Thinking-v0.1-1B/f93b2053-11c4-4868-860f-90fbfe8288fc.json b/data/hfopenllm_v2/PJMixers-Dev/L3.2-Instruct-Thinking-v0.1-1B/f93b2053-11c4-4868-860f-90fbfe8288fc.json
new file mode 100644
index 000000000..b26fc54c0
--- /dev/null
+++ b/data/hfopenllm_v2/PJMixers-Dev/L3.2-Instruct-Thinking-v0.1-1B/f93b2053-11c4-4868-860f-90fbfe8288fc.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/PJMixers-Dev_L3.2-Instruct-Thinking-v0.1-1B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "L3.2-Instruct-Thinking-v0.1-1B",
+    "id": "PJMixers-Dev/L3.2-Instruct-Thinking-v0.1-1B",
+    "developer": "PJMixers-Dev",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 1.236
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4628
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3302
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0544
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2576
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3262
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1483
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/PJMixers-Dev/LLaMa-3.1-Instruct-Interleaved-Zeroed-13B/8984fe95-9fd3-48ff-aa5f-18df63ecd6bb.json b/data/hfopenllm_v2/PJMixers-Dev/LLaMa-3.1-Instruct-Interleaved-Zeroed-13B/8984fe95-9fd3-48ff-aa5f-18df63ecd6bb.json
new file mode 100644
index 000000000..a3d8dd0e7
--- /dev/null
+++ b/data/hfopenllm_v2/PJMixers-Dev/LLaMa-3.1-Instruct-Interleaved-Zeroed-13B/8984fe95-9fd3-48ff-aa5f-18df63ecd6bb.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/PJMixers-Dev_LLaMa-3.1-Instruct-Interleaved-Zeroed-13B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "LLaMa-3.1-Instruct-Interleaved-Zeroed-13B",
+    "id": "PJMixers-Dev/LLaMa-3.1-Instruct-Interleaved-Zeroed-13B",
+    "developer": "PJMixers-Dev",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 13.047
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7871
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5073
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2002
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2919
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.387
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3767
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/PJMixers-Dev/LLaMa-3.1-Instruct-Interleaved-Zeroed-13B/fb66b283-bfd6-4437-95b7-d74a0d8d2814.json b/data/hfopenllm_v2/PJMixers-Dev/LLaMa-3.1-Instruct-Interleaved-Zeroed-13B/fb66b283-bfd6-4437-95b7-d74a0d8d2814.json
deleted file mode 100644
index f330828c3..000000000
--- a/data/hfopenllm_v2/PJMixers-Dev/LLaMa-3.1-Instruct-Interleaved-Zeroed-13B/fb66b283-bfd6-4437-95b7-d74a0d8d2814.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/PJMixers-Dev_LLaMa-3.1-Instruct-Interleaved-Zeroed-13B/1762652579.809847",
-  "retrieved_timestamp": "1762652579.809848",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "PJMixers-Dev/LLaMa-3.1-Instruct-Interleaved-Zeroed-13B",
-    "developer": "PJMixers-Dev",
-    "inference_platform": "unknown",
-    "id": "PJMixers-Dev/LLaMa-3.1-Instruct-Interleaved-Zeroed-13B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 13.047
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7871015572015585
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5073267838961463
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2001510574018127
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.29194630872483224
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3869895833333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3767453457446808
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/PJMixers-Dev/LLaMa-3.1-RomboTiesTest-8B/a0f6f5de-578c-4290-85b5-c51aed985074.json b/data/hfopenllm_v2/PJMixers-Dev/LLaMa-3.1-RomboTiesTest-8B/a0f6f5de-578c-4290-85b5-c51aed985074.json
new file mode 100644
index 000000000..1df7617e1
--- /dev/null
+++ b/data/hfopenllm_v2/PJMixers-Dev/LLaMa-3.1-RomboTiesTest-8B/a0f6f5de-578c-4290-85b5-c51aed985074.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/PJMixers-Dev_LLaMa-3.1-RomboTiesTest-8B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "LLaMa-3.1-RomboTiesTest-8B",
+    "id": "PJMixers-Dev/LLaMa-3.1-RomboTiesTest-8B",
+    "developer": "PJMixers-Dev",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 4.015
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7825
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5073
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2002
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2919
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.387
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3767
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/PJMixers-Dev/LLaMa-3.1-RomboTiesTest2-8B/8ccc76ff-25c9-4706-b6a8-31b49f8be813.json b/data/hfopenllm_v2/PJMixers-Dev/LLaMa-3.1-RomboTiesTest2-8B/8ccc76ff-25c9-4706-b6a8-31b49f8be813.json
new file mode 100644
index 000000000..3d4794050
--- /dev/null
+++ b/data/hfopenllm_v2/PJMixers-Dev/LLaMa-3.1-RomboTiesTest2-8B/8ccc76ff-25c9-4706-b6a8-31b49f8be813.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/PJMixers-Dev_LLaMa-3.1-RomboTiesTest2-8B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "LLaMa-3.1-RomboTiesTest2-8B",
+    "id": "PJMixers-Dev/LLaMa-3.1-RomboTiesTest2-8B",
+    "developer": "PJMixers-Dev",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 4.015
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7825
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5073
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2002
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2919
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.387
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3767
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/PJMixers-Dev/LLaMa-3.2-Instruct-JankMix-v0.1-SFT-3B/1d91cdce-0bdb-4567-9296-6225db3aa0bc.json b/data/hfopenllm_v2/PJMixers-Dev/LLaMa-3.2-Instruct-JankMix-v0.1-SFT-3B/1d91cdce-0bdb-4567-9296-6225db3aa0bc.json
deleted file mode 100644
index c7c4d3d90..000000000
--- a/data/hfopenllm_v2/PJMixers-Dev/LLaMa-3.2-Instruct-JankMix-v0.1-SFT-3B/1d91cdce-0bdb-4567-9296-6225db3aa0bc.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/PJMixers-Dev_LLaMa-3.2-Instruct-JankMix-v0.1-SFT-3B/1762652579.8105159",
-  "retrieved_timestamp": "1762652579.810517",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "PJMixers-Dev/LLaMa-3.2-Instruct-JankMix-v0.1-SFT-3B",
-    "developer": "PJMixers-Dev",
-    "inference_platform": "unknown",
-    "id": "PJMixers-Dev/LLaMa-3.2-Instruct-JankMix-v0.1-SFT-3B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 3.213
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.693054428915278
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4556166737589294
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1216012084592145
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.27432885906040266
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37003125000000003
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.312749335106383
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/PJMixers-Dev/LLaMa-3.2-Instruct-JankMix-v0.1-SFT-3B/924f8b31-506d-4df2-8a7b-d0cd66d55f6d.json b/data/hfopenllm_v2/PJMixers-Dev/LLaMa-3.2-Instruct-JankMix-v0.1-SFT-3B/924f8b31-506d-4df2-8a7b-d0cd66d55f6d.json
new file mode 100644
index 000000000..e62bf8d2d
--- /dev/null
+++ b/data/hfopenllm_v2/PJMixers-Dev/LLaMa-3.2-Instruct-JankMix-v0.1-SFT-3B/924f8b31-506d-4df2-8a7b-d0cd66d55f6d.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/PJMixers-Dev_LLaMa-3.2-Instruct-JankMix-v0.1-SFT-3B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "LLaMa-3.2-Instruct-JankMix-v0.1-SFT-3B",
+    "id": "PJMixers-Dev/LLaMa-3.2-Instruct-JankMix-v0.1-SFT-3B",
+    "developer": "PJMixers-Dev",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 3.213
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6931
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4556
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1216
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2743
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.37
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3127
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/PJMixers-Dev/LLaMa-3.2-Instruct-JankMix-v0.2-SFT-3B/8e7dfd9f-350d-406c-811d-453f1744dd53.json b/data/hfopenllm_v2/PJMixers-Dev/LLaMa-3.2-Instruct-JankMix-v0.2-SFT-3B/8e7dfd9f-350d-406c-811d-453f1744dd53.json
new file mode 100644
index 000000000..ddc4092b0
--- /dev/null
+++ b/data/hfopenllm_v2/PJMixers-Dev/LLaMa-3.2-Instruct-JankMix-v0.2-SFT-3B/8e7dfd9f-350d-406c-811d-453f1744dd53.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/PJMixers-Dev_LLaMa-3.2-Instruct-JankMix-v0.2-SFT-3B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "LLaMa-3.2-Instruct-JankMix-v0.2-SFT-3B",
+    "id": "PJMixers-Dev/LLaMa-3.2-Instruct-JankMix-v0.2-SFT-3B",
+    "developer": "PJMixers-Dev",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 3.213
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6292
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4581
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1299
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2727
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3659
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3115
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/PJMixers-Dev/LLaMa-3.2-Instruct-JankMix-v0.2-SFT-3B/d1875dfd-05ab-4a49-8c7f-02cddf35a695.json b/data/hfopenllm_v2/PJMixers-Dev/LLaMa-3.2-Instruct-JankMix-v0.2-SFT-3B/d1875dfd-05ab-4a49-8c7f-02cddf35a695.json
deleted file mode 100644
index c6bdb2dd3..000000000
--- a/data/hfopenllm_v2/PJMixers-Dev/LLaMa-3.2-Instruct-JankMix-v0.2-SFT-3B/d1875dfd-05ab-4a49-8c7f-02cddf35a695.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/PJMixers-Dev_LLaMa-3.2-Instruct-JankMix-v0.2-SFT-3B/1762652579.810729",
-  "retrieved_timestamp": "1762652579.81073",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "PJMixers-Dev/LLaMa-3.2-Instruct-JankMix-v0.2-SFT-3B",
-    "developer": "PJMixers-Dev",
-    "inference_platform": "unknown",
-    "id": "PJMixers-Dev/LLaMa-3.2-Instruct-JankMix-v0.2-SFT-3B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 3.213
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6291573026237051
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.45814952191015346
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1299093655589124
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2726510067114094
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.365875
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3115026595744681
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/PJMixers-Dev/LLaMa-3.2-Instruct-JankMix-v0.2-SFT-HailMary-v0.1-KTO-3B/62b12d95-1da2-407c-8552-8c5e951c5c85.json b/data/hfopenllm_v2/PJMixers-Dev/LLaMa-3.2-Instruct-JankMix-v0.2-SFT-HailMary-v0.1-KTO-3B/62b12d95-1da2-407c-8552-8c5e951c5c85.json
deleted file mode 100644
index c2ae4ec92..000000000
--- a/data/hfopenllm_v2/PJMixers-Dev/LLaMa-3.2-Instruct-JankMix-v0.2-SFT-HailMary-v0.1-KTO-3B/62b12d95-1da2-407c-8552-8c5e951c5c85.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/PJMixers-Dev_LLaMa-3.2-Instruct-JankMix-v0.2-SFT-HailMary-v0.1-KTO-3B/1762652579.8109388",
-  "retrieved_timestamp": "1762652579.8109398",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "PJMixers-Dev/LLaMa-3.2-Instruct-JankMix-v0.2-SFT-HailMary-v0.1-KTO-3B",
-    "developer": "PJMixers-Dev",
-    "inference_platform": "unknown",
-    "id": "PJMixers-Dev/LLaMa-3.2-Instruct-JankMix-v0.2-SFT-HailMary-v0.1-KTO-3B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 3.213
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6503898544750152
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.45107942950222196
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.12613293051359517
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.27181208053691275
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3687291666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3107546542553192
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/PJMixers-Dev/LLaMa-3.2-Instruct-JankMix-v0.2-SFT-HailMary-v0.1-KTO-3B/b713d1d2-351f-43a1-b77d-27723e1d4267.json b/data/hfopenllm_v2/PJMixers-Dev/LLaMa-3.2-Instruct-JankMix-v0.2-SFT-HailMary-v0.1-KTO-3B/b713d1d2-351f-43a1-b77d-27723e1d4267.json
new file mode 100644
index 000000000..68fb66922
--- /dev/null
+++ b/data/hfopenllm_v2/PJMixers-Dev/LLaMa-3.2-Instruct-JankMix-v0.2-SFT-HailMary-v0.1-KTO-3B/b713d1d2-351f-43a1-b77d-27723e1d4267.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/PJMixers-Dev_LLaMa-3.2-Instruct-JankMix-v0.2-SFT-HailMary-v0.1-KTO-3B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "LLaMa-3.2-Instruct-JankMix-v0.2-SFT-HailMary-v0.1-KTO-3B",
+    "id": "PJMixers-Dev/LLaMa-3.2-Instruct-JankMix-v0.2-SFT-HailMary-v0.1-KTO-3B",
+    "developer": "PJMixers-Dev",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 3.213
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6504
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4511
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1261
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2718
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3687
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3108
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/PJMixers-Dev/LLaMa-3.2-Instruct-JankMixBread-v0.1-3B/322a9442-174f-4223-b839-6f8f9664d5e5.json b/data/hfopenllm_v2/PJMixers-Dev/LLaMa-3.2-Instruct-JankMixBread-v0.1-3B/322a9442-174f-4223-b839-6f8f9664d5e5.json
new file mode 100644
index 000000000..b3614926d
--- /dev/null
+++ b/data/hfopenllm_v2/PJMixers-Dev/LLaMa-3.2-Instruct-JankMixBread-v0.1-3B/322a9442-174f-4223-b839-6f8f9664d5e5.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/PJMixers-Dev_LLaMa-3.2-Instruct-JankMixBread-v0.1-3B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "LLaMa-3.2-Instruct-JankMixBread-v0.1-3B",
+    "id": "PJMixers-Dev/LLaMa-3.2-Instruct-JankMixBread-v0.1-3B",
+    "developer": "PJMixers-Dev",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 3.213
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5041
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4483
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1307
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2827
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3516
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3083
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/PJMixers-Dev/LLaMa-3.2-Instruct-JankMixBread-v0.1-3B/56f36430-4bb1-425d-ac4b-30d85237667c.json b/data/hfopenllm_v2/PJMixers-Dev/LLaMa-3.2-Instruct-JankMixBread-v0.1-3B/56f36430-4bb1-425d-ac4b-30d85237667c.json
deleted file mode 100644
index 2da13762b..000000000
--- a/data/hfopenllm_v2/PJMixers-Dev/LLaMa-3.2-Instruct-JankMixBread-v0.1-3B/56f36430-4bb1-425d-ac4b-30d85237667c.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/PJMixers-Dev_LLaMa-3.2-Instruct-JankMixBread-v0.1-3B/1762652579.8111491",
-  "retrieved_timestamp": "1762652579.81115",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "PJMixers-Dev/LLaMa-3.2-Instruct-JankMixBread-v0.1-3B",
-    "developer": "PJMixers-Dev",
-    "inference_platform": "unknown",
-    "id": "PJMixers-Dev/LLaMa-3.2-Instruct-JankMixBread-v0.1-3B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 3.213
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5040858256093831
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4483158594793648
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.13066465256797583
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2827181208053691
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3515520833333334
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.308344414893617
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/PJMixers-Dev/Qwen2.5-RomboTiesTest-7B/b12e71d1-c435-4172-a28f-38e26791dadb.json b/data/hfopenllm_v2/PJMixers-Dev/Qwen2.5-RomboTiesTest-7B/b12e71d1-c435-4172-a28f-38e26791dadb.json
new file mode 100644
index 000000000..16e94042b
--- /dev/null
+++ b/data/hfopenllm_v2/PJMixers-Dev/Qwen2.5-RomboTiesTest-7B/b12e71d1-c435-4172-a28f-38e26791dadb.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/PJMixers-Dev_Qwen2.5-RomboTiesTest-7B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-RomboTiesTest-7B",
+    "id": "PJMixers-Dev/Qwen2.5-RomboTiesTest-7B",
+    "developer": "PJMixers-Dev",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 3.808
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7558
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
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+        "evaluation_description": "Exact Match on MATH Level 5",
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+        "hf_repo": "TIGER-Lab/MMLU-Pro"
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/PJMixers/LLaMa-3-CursedStock-v2.0-8B/ad33b0e8-39c8-4118-81bd-bc86b482f122.json b/data/hfopenllm_v2/PJMixers/LLaMa-3-CursedStock-v2.0-8B/ad33b0e8-39c8-4118-81bd-bc86b482f122.json
new file mode 100644
index 000000000..4d593a418
--- /dev/null
+++ b/data/hfopenllm_v2/PJMixers/LLaMa-3-CursedStock-v2.0-8B/ad33b0e8-39c8-4118-81bd-bc86b482f122.json
@@ -0,0 +1,132 @@
+{
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+  "evaluation_id": "hfopenllm_v2/PJMixers_LLaMa-3-CursedStock-v2.0-8B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "LLaMa-3-CursedStock-v2.0-8B",
+    "id": "PJMixers/LLaMa-3-CursedStock-v2.0-8B",
+    "developer": "PJMixers",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
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+  "evaluation_results": [
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+      "metric_config": {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5271
+      }
+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
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+        "evaluation_description": "Exact Match on MATH Level 5",
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+        "hf_repo": "TAUR-Lab/MuSR"
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+        "evaluation_description": "Accuracy on MUSR",
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+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
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+        "evaluation_description": "Accuracy on MMLU-PRO",
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+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Parissa3/test-model/53cb44c7-f7bc-40fa-88e7-511b9dfab004.json b/data/hfopenllm_v2/Parissa3/test-model/53cb44c7-f7bc-40fa-88e7-511b9dfab004.json
deleted file mode 100644
index bcd69e86a..000000000
--- a/data/hfopenllm_v2/Parissa3/test-model/53cb44c7-f7bc-40fa-88e7-511b9dfab004.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
-    "name": "Parissa3/test-model",
-    "developer": "Parissa3",
-    "inference_platform": "unknown",
-    "id": "Parissa3/test-model",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
-    }
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-      "evaluation_name": "IFEval",
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diff --git a/data/hfopenllm_v2/Parissa3/test-model/db8a7864-293b-45e9-995b-5301071c902d.json b/data/hfopenllm_v2/Parissa3/test-model/db8a7864-293b-45e9-995b-5301071c902d.json
new file mode 100644
index 000000000..f98fab749
--- /dev/null
+++ b/data/hfopenllm_v2/Parissa3/test-model/db8a7864-293b-45e9-995b-5301071c902d.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Parissa3_test-model/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "test-model",
+    "id": "Parissa3/test-model",
+    "developer": "Parissa3",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
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+        "source_type": "hf_dataset",
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+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "max_score": 1.0
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+      }
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+      }
+    },
+    {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+        "hf_repo": "Idavidrein/gpqa"
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+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "max_score": 1.0
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+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Pinkstack/PARM-V1.5-base-QwQ-Qwen-2.5-o1-3B/31e3beea-28dc-4b47-a5e9-5fafc89226db.json b/data/hfopenllm_v2/Pinkstack/PARM-V1.5-base-QwQ-Qwen-2.5-o1-3B/31e3beea-28dc-4b47-a5e9-5fafc89226db.json
new file mode 100644
index 000000000..d4a800079
--- /dev/null
+++ b/data/hfopenllm_v2/Pinkstack/PARM-V1.5-base-QwQ-Qwen-2.5-o1-3B/31e3beea-28dc-4b47-a5e9-5fafc89226db.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Pinkstack_PARM-V1.5-base-QwQ-Qwen-2.5-o1-3B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "PARM-V1.5-base-QwQ-Qwen-2.5-o1-3B",
+    "id": "Pinkstack/PARM-V1.5-base-QwQ-Qwen-2.5-o1-3B",
+    "developer": "Pinkstack",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 3.086
+    }
+  },
+  "evaluation_results": [
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5085
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+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4711
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.297
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Pinkstack/SuperThoughts-CoT-14B-16k-o1-QwQ/49315a95-394f-4508-8e6c-7c1d5547c257.json b/data/hfopenllm_v2/Pinkstack/SuperThoughts-CoT-14B-16k-o1-QwQ/49315a95-394f-4508-8e6c-7c1d5547c257.json
new file mode 100644
index 000000000..13d84a54a
--- /dev/null
+++ b/data/hfopenllm_v2/Pinkstack/SuperThoughts-CoT-14B-16k-o1-QwQ/49315a95-394f-4508-8e6c-7c1d5547c257.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Pinkstack_SuperThoughts-CoT-14B-16k-o1-QwQ/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "SuperThoughts-CoT-14B-16k-o1-QwQ",
+    "id": "Pinkstack/SuperThoughts-CoT-14B-16k-o1-QwQ",
+    "developer": "Pinkstack",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 14.66
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0515
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.672
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4199
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3926
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4914
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5268
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Pinkstack/SuperThoughts-CoT-14B-16k-o1-QwQ/c604f0fb-517d-45db-9e1c-6c911bce43e7.json b/data/hfopenllm_v2/Pinkstack/SuperThoughts-CoT-14B-16k-o1-QwQ/c604f0fb-517d-45db-9e1c-6c911bce43e7.json
deleted file mode 100644
index 565cbd6a3..000000000
--- a/data/hfopenllm_v2/Pinkstack/SuperThoughts-CoT-14B-16k-o1-QwQ/c604f0fb-517d-45db-9e1c-6c911bce43e7.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Pinkstack_SuperThoughts-CoT-14B-16k-o1-QwQ/1762652579.812447",
-  "retrieved_timestamp": "1762652579.812449",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Pinkstack/SuperThoughts-CoT-14B-16k-o1-QwQ",
-    "developer": "Pinkstack",
-    "inference_platform": "unknown",
-    "id": "Pinkstack/SuperThoughts-CoT-14B-16k-o1-QwQ",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 14.66
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.051457909458015844
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6719989821162488
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4199395770392749
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3926174496644295
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4913541666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.526845079787234
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Pinkstack/Superthoughts-lite-1.8B-experimental-o1/375d3a94-97af-47ef-82af-afd7581663d4.json b/data/hfopenllm_v2/Pinkstack/Superthoughts-lite-1.8B-experimental-o1/375d3a94-97af-47ef-82af-afd7581663d4.json
new file mode 100644
index 000000000..c0e931e91
--- /dev/null
+++ b/data/hfopenllm_v2/Pinkstack/Superthoughts-lite-1.8B-experimental-o1/375d3a94-97af-47ef-82af-afd7581663d4.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Pinkstack_Superthoughts-lite-1.8B-experimental-o1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Superthoughts-lite-1.8B-experimental-o1",
+    "id": "Pinkstack/Superthoughts-lite-1.8B-experimental-o1",
+    "developer": "Pinkstack",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 1.812
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0375
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3435
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0317
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2752
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3354
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1851
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Pinkstack/Superthoughts-lite-1.8B-experimental-o1/fba2ce2f-6c30-4af9-ae3a-d23f39f3f963.json b/data/hfopenllm_v2/Pinkstack/Superthoughts-lite-1.8B-experimental-o1/fba2ce2f-6c30-4af9-ae3a-d23f39f3f963.json
deleted file mode 100644
index 4696e09c0..000000000
--- a/data/hfopenllm_v2/Pinkstack/Superthoughts-lite-1.8B-experimental-o1/fba2ce2f-6c30-4af9-ae3a-d23f39f3f963.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Pinkstack_Superthoughts-lite-1.8B-experimental-o1/1762652579.81273",
-  "retrieved_timestamp": "1762652579.81273",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Pinkstack/Superthoughts-lite-1.8B-experimental-o1",
-    "developer": "Pinkstack",
-    "inference_platform": "unknown",
-    "id": "Pinkstack/Superthoughts-lite-1.8B-experimental-o1",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 1.812
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.0375193375798437
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3434736647957908
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.03172205438066465
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2751677852348993
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.33539583333333334
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.18508976063829788
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Pinkstack/Superthoughts-lite-v1/77cfe896-4aa1-4bcd-a39a-f437c3f7e738.json b/data/hfopenllm_v2/Pinkstack/Superthoughts-lite-v1/77cfe896-4aa1-4bcd-a39a-f437c3f7e738.json
new file mode 100644
index 000000000..7b240a43f
--- /dev/null
+++ b/data/hfopenllm_v2/Pinkstack/Superthoughts-lite-v1/77cfe896-4aa1-4bcd-a39a-f437c3f7e738.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Pinkstack_Superthoughts-lite-v1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Superthoughts-lite-v1",
+    "id": "Pinkstack/Superthoughts-lite-v1",
+    "developer": "Pinkstack",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 1.711
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1659
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3466
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0295
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.281
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3672
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1755
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Pinkstack/Superthoughts-lite-v1/ff308837-dc35-4257-a4cd-de463feb733e.json b/data/hfopenllm_v2/Pinkstack/Superthoughts-lite-v1/ff308837-dc35-4257-a4cd-de463feb733e.json
deleted file mode 100644
index f54746c97..000000000
--- a/data/hfopenllm_v2/Pinkstack/Superthoughts-lite-v1/ff308837-dc35-4257-a4cd-de463feb733e.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Pinkstack_Superthoughts-lite-v1/1762652579.812961",
-  "retrieved_timestamp": "1762652579.812962",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Pinkstack/Superthoughts-lite-v1",
-    "developer": "Pinkstack",
-    "inference_platform": "unknown",
-    "id": "Pinkstack/Superthoughts-lite-v1",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 1.711
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1658643510330368
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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diff --git a/data/hfopenllm_v2/PocketDoc/Dans-Instruct-CoreCurriculum-12b/3d69ec7d-9999-4e16-8dc9-99fad35e156e.json b/data/hfopenllm_v2/PocketDoc/Dans-Instruct-CoreCurriculum-12b/3d69ec7d-9999-4e16-8dc9-99fad35e156e.json
new file mode 100644
index 000000000..cb170495e
--- /dev/null
+++ b/data/hfopenllm_v2/PocketDoc/Dans-Instruct-CoreCurriculum-12b/3d69ec7d-9999-4e16-8dc9-99fad35e156e.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/PocketDoc_Dans-Instruct-CoreCurriculum-12b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Dans-Instruct-CoreCurriculum-12b",
+    "id": "PocketDoc/Dans-Instruct-CoreCurriculum-12b",
+    "developer": "PocketDoc",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 12.0
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2191
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3789
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0544
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2827
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4096
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1219
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/PocketDoc/Dans-Instruct-CoreCurriculum-12b/d8145a39-f1d0-4b6e-958b-a96585eeec9f.json b/data/hfopenllm_v2/PocketDoc/Dans-Instruct-CoreCurriculum-12b/d8145a39-f1d0-4b6e-958b-a96585eeec9f.json
deleted file mode 100644
index 7e1be8ae4..000000000
--- a/data/hfopenllm_v2/PocketDoc/Dans-Instruct-CoreCurriculum-12b/d8145a39-f1d0-4b6e-958b-a96585eeec9f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/PocketDoc_Dans-Instruct-CoreCurriculum-12b/1762652579.81328",
-  "retrieved_timestamp": "1762652579.813282",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "PocketDoc/Dans-Instruct-CoreCurriculum-12b",
-    "developer": "PocketDoc",
-    "inference_platform": "unknown",
-    "id": "PocketDoc/Dans-Instruct-CoreCurriculum-12b",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 12.0
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-    {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-        "lower_is_better": false,
-        "score_type": "continuous",
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-      },
-      "score_details": {
-        "score": 0.2827181208053691
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-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4095625
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/PocketDoc/Dans-PersonalityEngine-V1.1.0-12b/c005ab13-1d42-4e28-802e-12438aab35a4.json b/data/hfopenllm_v2/PocketDoc/Dans-PersonalityEngine-V1.1.0-12b/c005ab13-1d42-4e28-802e-12438aab35a4.json
deleted file mode 100644
index 885ed543f..000000000
--- a/data/hfopenllm_v2/PocketDoc/Dans-PersonalityEngine-V1.1.0-12b/c005ab13-1d42-4e28-802e-12438aab35a4.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/PocketDoc_Dans-PersonalityEngine-V1.1.0-12b/1762652579.813654",
-  "retrieved_timestamp": "1762652579.8136551",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "PocketDoc/Dans-PersonalityEngine-V1.1.0-12b",
-    "developer": "PocketDoc",
-    "inference_platform": "unknown",
-    "id": "PocketDoc/Dans-PersonalityEngine-V1.1.0-12b",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 12.248
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-      },
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-        "score": 0.7074672978807343
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
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-        "score_type": "continuous",
-        "min_score": 0,
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-      },
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-    },
-    {
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-        "score_type": "continuous",
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-      },
-      "score_details": {
-        "score": 0.28691275167785235
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.45867708333333335
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.32621343085106386
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/PocketDoc/Dans-PersonalityEngine-V1.1.0-12b/d2a7459b-8a12-4529-b978-c7237979f16b.json b/data/hfopenllm_v2/PocketDoc/Dans-PersonalityEngine-V1.1.0-12b/d2a7459b-8a12-4529-b978-c7237979f16b.json
new file mode 100644
index 000000000..54790f749
--- /dev/null
+++ b/data/hfopenllm_v2/PocketDoc/Dans-PersonalityEngine-V1.1.0-12b/d2a7459b-8a12-4529-b978-c7237979f16b.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/PocketDoc_Dans-PersonalityEngine-V1.1.0-12b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Dans-PersonalityEngine-V1.1.0-12b",
+    "id": "PocketDoc/Dans-PersonalityEngine-V1.1.0-12b",
+    "developer": "PocketDoc",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 12.248
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7075
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5361
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.105
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2869
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4587
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3262
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/PocketDoc/Dans-PersonalityEngine-V1.2.0-24b/38dd1b21-b357-4daf-94b3-c4a28809e56c.json b/data/hfopenllm_v2/PocketDoc/Dans-PersonalityEngine-V1.2.0-24b/38dd1b21-b357-4daf-94b3-c4a28809e56c.json
deleted file mode 100644
index ec19a74f5..000000000
--- a/data/hfopenllm_v2/PocketDoc/Dans-PersonalityEngine-V1.2.0-24b/38dd1b21-b357-4daf-94b3-c4a28809e56c.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/PocketDoc_Dans-PersonalityEngine-V1.2.0-24b/1762652579.813962",
-  "retrieved_timestamp": "1762652579.813962",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "PocketDoc/Dans-PersonalityEngine-V1.2.0-24b",
-    "developer": "PocketDoc",
-    "inference_platform": "unknown",
-    "id": "PocketDoc/Dans-PersonalityEngine-V1.2.0-24b",
-    "additional_details": {
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-      "architecture": "MistralForCausalLM",
-      "params_billions": 23.572
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
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-        "min_score": 0,
-        "max_score": 1
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-    },
-    {
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-        "evaluation_description": "Accuracy on BBH",
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6421213844206719
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
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-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-      "score_details": {
-        "score": 0.24546827794561935
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-    {
-      "evaluation_name": "GPQA",
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-        "evaluation_description": "Accuracy on GPQA",
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-      "score_details": {
-        "score": 0.3187919463087248
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
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-        "score_type": "continuous",
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-      },
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-        "score": 0.42996875
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diff --git a/data/hfopenllm_v2/PocketDoc/Dans-PersonalityEngine-V1.2.0-24b/e7a228ad-69de-471a-9f31-6bdc7221999c.json b/data/hfopenllm_v2/PocketDoc/Dans-PersonalityEngine-V1.2.0-24b/e7a228ad-69de-471a-9f31-6bdc7221999c.json
new file mode 100644
index 000000000..55de50f7e
--- /dev/null
+++ b/data/hfopenllm_v2/PocketDoc/Dans-PersonalityEngine-V1.2.0-24b/e7a228ad-69de-471a-9f31-6bdc7221999c.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/PocketDoc_Dans-PersonalityEngine-V1.2.0-24b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Dans-PersonalityEngine-V1.2.0-24b",
+    "id": "PocketDoc/Dans-PersonalityEngine-V1.2.0-24b",
+    "developer": "PocketDoc",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 23.572
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7886
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6421
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+      }
+    },
+    {
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+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.43
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5026
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/PocketDoc/Dans-PersonalityEngine-v1.0.0-8b/9196ae39-adb0-4d53-8399-0ccd4d628065.json b/data/hfopenllm_v2/PocketDoc/Dans-PersonalityEngine-v1.0.0-8b/9196ae39-adb0-4d53-8399-0ccd4d628065.json
new file mode 100644
index 000000000..28534a7f1
--- /dev/null
+++ b/data/hfopenllm_v2/PocketDoc/Dans-PersonalityEngine-v1.0.0-8b/9196ae39-adb0-4d53-8399-0ccd4d628065.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/PocketDoc_Dans-PersonalityEngine-v1.0.0-8b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Dans-PersonalityEngine-v1.0.0-8b",
+    "id": "PocketDoc/Dans-PersonalityEngine-v1.0.0-8b",
+    "developer": "PocketDoc",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4982
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4733
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0816
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2852
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3542
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3065
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/PocketDoc/Dans-PersonalityEngine-v1.0.0-8b/f3623b9f-3e3f-4b7b-a9f5-f0a15bf26f48.json b/data/hfopenllm_v2/PocketDoc/Dans-PersonalityEngine-v1.0.0-8b/f3623b9f-3e3f-4b7b-a9f5-f0a15bf26f48.json
deleted file mode 100644
index 3c96a2899..000000000
--- a/data/hfopenllm_v2/PocketDoc/Dans-PersonalityEngine-v1.0.0-8b/f3623b9f-3e3f-4b7b-a9f5-f0a15bf26f48.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/PocketDoc_Dans-PersonalityEngine-v1.0.0-8b/1762652579.814201",
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-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
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-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
-    "name": "PocketDoc/Dans-PersonalityEngine-v1.0.0-8b",
-    "developer": "PocketDoc",
-    "inference_platform": "unknown",
-    "id": "PocketDoc/Dans-PersonalityEngine-v1.0.0-8b",
-    "additional_details": {
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-      "architecture": "LlamaForCausalLM",
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-  "evaluation_results": [
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-        "min_score": 0,
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-    {
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-        "score_type": "continuous",
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-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
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-}
diff --git a/data/hfopenllm_v2/PocketDoc/Dans-SakuraKaze-V1.0.0-12b/b78ef40e-91b1-401d-9576-1ac2f600b32a.json b/data/hfopenllm_v2/PocketDoc/Dans-SakuraKaze-V1.0.0-12b/b78ef40e-91b1-401d-9576-1ac2f600b32a.json
deleted file mode 100644
index 1c383102e..000000000
--- a/data/hfopenllm_v2/PocketDoc/Dans-SakuraKaze-V1.0.0-12b/b78ef40e-91b1-401d-9576-1ac2f600b32a.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/PocketDoc_Dans-SakuraKaze-V1.0.0-12b/1762652579.81442",
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-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
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-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "PocketDoc/Dans-SakuraKaze-V1.0.0-12b",
-    "developer": "PocketDoc",
-    "inference_platform": "unknown",
-    "id": "PocketDoc/Dans-SakuraKaze-V1.0.0-12b",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 12.248
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-    },
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-      "evaluation_name": "GPQA",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.47452083333333334
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-  ]
-}
diff --git a/data/hfopenllm_v2/PocketDoc/Dans-SakuraKaze-V1.0.0-12b/ea318f99-a1ab-41ed-ae5d-39c62ac40e1b.json b/data/hfopenllm_v2/PocketDoc/Dans-SakuraKaze-V1.0.0-12b/ea318f99-a1ab-41ed-ae5d-39c62ac40e1b.json
new file mode 100644
index 000000000..4fbe90b2e
--- /dev/null
+++ b/data/hfopenllm_v2/PocketDoc/Dans-SakuraKaze-V1.0.0-12b/ea318f99-a1ab-41ed-ae5d-39c62ac40e1b.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/PocketDoc_Dans-SakuraKaze-V1.0.0-12b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Dans-SakuraKaze-V1.0.0-12b",
+    "id": "PocketDoc/Dans-SakuraKaze-V1.0.0-12b",
+    "developer": "PocketDoc",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 12.248
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.652
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+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5405
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0929
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+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2936
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4745
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.356
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/PowerInfer/SmallThinker-3B-Preview/05f69fd6-a77e-478d-ad86-3e83e615e892.json b/data/hfopenllm_v2/PowerInfer/SmallThinker-3B-Preview/05f69fd6-a77e-478d-ad86-3e83e615e892.json
new file mode 100644
index 000000000..d49ad061e
--- /dev/null
+++ b/data/hfopenllm_v2/PowerInfer/SmallThinker-3B-Preview/05f69fd6-a77e-478d-ad86-3e83e615e892.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/PowerInfer_SmallThinker-3B-Preview/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "SmallThinker-3B-Preview",
+    "id": "PowerInfer/SmallThinker-3B-Preview",
+    "developer": "PowerInfer",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 3.397
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.62
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4495
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2779
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2609
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3525
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3018
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/PowerInfer/SmallThinker-3B-Preview/6613aff7-8f26-4b74-b08b-37fbd7990e42.json b/data/hfopenllm_v2/PowerInfer/SmallThinker-3B-Preview/6613aff7-8f26-4b74-b08b-37fbd7990e42.json
deleted file mode 100644
index 946caa91d..000000000
--- a/data/hfopenllm_v2/PowerInfer/SmallThinker-3B-Preview/6613aff7-8f26-4b74-b08b-37fbd7990e42.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/PowerInfer_SmallThinker-3B-Preview/1762652579.814635",
-  "retrieved_timestamp": "1762652579.814636",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "PowerInfer/SmallThinker-3B-Preview",
-    "developer": "PowerInfer",
-    "inference_platform": "unknown",
-    "id": "PowerInfer/SmallThinker-3B-Preview",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 3.397
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6199650261306666
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-    },
-    {
-      "evaluation_name": "BBH",
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-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4494922016660919
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.27794561933534745
-      }
-    },
-    {
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-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2609060402684564
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3524791666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3017785904255319
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/PranavHarshan/LaMistral-V4/5b8e9508-befb-4674-bd84-9c722a0864ce.json b/data/hfopenllm_v2/PranavHarshan/LaMistral-V4/5b8e9508-befb-4674-bd84-9c722a0864ce.json
new file mode 100644
index 000000000..8281de999
--- /dev/null
+++ b/data/hfopenllm_v2/PranavHarshan/LaMistral-V4/5b8e9508-befb-4674-bd84-9c722a0864ce.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/PranavHarshan_LaMistral-V4/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "LaMistral-V4",
+    "id": "PranavHarshan/LaMistral-V4",
+    "developer": "PranavHarshan",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6239
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5184
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0687
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.328
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3643
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3599
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/PranavHarshan/MedNarra-X1/86023703-88e2-4219-b38b-4c871e2ee381.json b/data/hfopenllm_v2/PranavHarshan/MedNarra-X1/86023703-88e2-4219-b38b-4c871e2ee381.json
deleted file mode 100644
index afff89abc..000000000
--- a/data/hfopenllm_v2/PranavHarshan/MedNarra-X1/86023703-88e2-4219-b38b-4c871e2ee381.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/PranavHarshan_MedNarra-X1/1762652579.815135",
-  "retrieved_timestamp": "1762652579.815136",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "PranavHarshan/MedNarra-X1",
-    "developer": "PranavHarshan",
-    "inference_platform": "unknown",
-    "id": "PranavHarshan/MedNarra-X1",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.43384331351924005
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.46371668179774184
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.04380664652567976
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30788590604026844
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.35403125
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.34308510638297873
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/PranavHarshan/MedNarra-X1/8beb3730-23e8-4b89-933d-2d3f1a1d1365.json b/data/hfopenllm_v2/PranavHarshan/MedNarra-X1/8beb3730-23e8-4b89-933d-2d3f1a1d1365.json
new file mode 100644
index 000000000..3cf872d63
--- /dev/null
+++ b/data/hfopenllm_v2/PranavHarshan/MedNarra-X1/8beb3730-23e8-4b89-933d-2d3f1a1d1365.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/PranavHarshan_MedNarra-X1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "MedNarra-X1",
+    "id": "PranavHarshan/MedNarra-X1",
+    "developer": "PranavHarshan",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4338
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4637
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0438
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3079
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.354
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3431
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Pretergeek/OpenChat-3.5-0106_10.7B_48Layers-Appended/07417712-1933-4920-8964-67ba74bf6d01.json b/data/hfopenllm_v2/Pretergeek/OpenChat-3.5-0106_10.7B_48Layers-Appended/07417712-1933-4920-8964-67ba74bf6d01.json
new file mode 100644
index 000000000..d98817118
--- /dev/null
+++ b/data/hfopenllm_v2/Pretergeek/OpenChat-3.5-0106_10.7B_48Layers-Appended/07417712-1933-4920-8964-67ba74bf6d01.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Pretergeek_OpenChat-3.5-0106_10.7B_48Layers-Appended/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "OpenChat-3.5-0106_10.7B_48Layers-Appended",
+    "id": "Pretergeek/OpenChat-3.5-0106_10.7B_48Layers-Appended",
+    "developer": "Pretergeek",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 10.732
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5961
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.462
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0793
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.307
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4254
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.329
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Pretergeek/OpenChat-3.5-0106_10.7B_48Layers-Appended/eca9180f-20d5-4bcd-9a74-e2f69c4ea4ad.json b/data/hfopenllm_v2/Pretergeek/OpenChat-3.5-0106_10.7B_48Layers-Appended/eca9180f-20d5-4bcd-9a74-e2f69c4ea4ad.json
deleted file mode 100644
index a8f49e288..000000000
--- a/data/hfopenllm_v2/Pretergeek/OpenChat-3.5-0106_10.7B_48Layers-Appended/eca9180f-20d5-4bcd-9a74-e2f69c4ea4ad.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Pretergeek_OpenChat-3.5-0106_10.7B_48Layers-Appended/1762652579.815407",
-  "retrieved_timestamp": "1762652579.815407",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Pretergeek/OpenChat-3.5-0106_10.7B_48Layers-Appended",
-    "developer": "Pretergeek",
-    "inference_platform": "unknown",
-    "id": "Pretergeek/OpenChat-3.5-0106_10.7B_48Layers-Appended",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 10.732
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5960595663949432
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4619637884426022
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.07930513595166164
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3070469798657718
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42540625
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3289561170212766
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Pretergeek/OpenChat-3.5-0106_10.7B_48Layers-Interleaved/65d32305-4f23-4041-a107-8625822c1322.json b/data/hfopenllm_v2/Pretergeek/OpenChat-3.5-0106_10.7B_48Layers-Interleaved/65d32305-4f23-4041-a107-8625822c1322.json
deleted file mode 100644
index 0f695d9c3..000000000
--- a/data/hfopenllm_v2/Pretergeek/OpenChat-3.5-0106_10.7B_48Layers-Interleaved/65d32305-4f23-4041-a107-8625822c1322.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Pretergeek_OpenChat-3.5-0106_10.7B_48Layers-Interleaved/1762652579.81567",
-  "retrieved_timestamp": "1762652579.815671",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Pretergeek/OpenChat-3.5-0106_10.7B_48Layers-Interleaved",
-    "developer": "Pretergeek",
-    "inference_platform": "unknown",
-    "id": "Pretergeek/OpenChat-3.5-0106_10.7B_48Layers-Interleaved",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 10.732
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5960595663949432
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4619637884426022
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.07779456193353475
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30453020134228187
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42540625
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3298703457446808
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Pretergeek/OpenChat-3.5-0106_10.7B_48Layers-Interleaved/ae4cc05d-a65a-4f18-a99c-f133603686d1.json b/data/hfopenllm_v2/Pretergeek/OpenChat-3.5-0106_10.7B_48Layers-Interleaved/ae4cc05d-a65a-4f18-a99c-f133603686d1.json
new file mode 100644
index 000000000..80b91addb
--- /dev/null
+++ b/data/hfopenllm_v2/Pretergeek/OpenChat-3.5-0106_10.7B_48Layers-Interleaved/ae4cc05d-a65a-4f18-a99c-f133603686d1.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Pretergeek_OpenChat-3.5-0106_10.7B_48Layers-Interleaved/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "OpenChat-3.5-0106_10.7B_48Layers-Interleaved",
+    "id": "Pretergeek/OpenChat-3.5-0106_10.7B_48Layers-Interleaved",
+    "developer": "Pretergeek",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 10.732
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5961
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.462
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0778
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3045
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4254
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3299
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Pretergeek/OpenChat-3.5-0106_32K-PoSE/195acbac-1db7-47ed-907f-98e312fc8921.json b/data/hfopenllm_v2/Pretergeek/OpenChat-3.5-0106_32K-PoSE/195acbac-1db7-47ed-907f-98e312fc8921.json
deleted file mode 100644
index eafdd5014..000000000
--- a/data/hfopenllm_v2/Pretergeek/OpenChat-3.5-0106_32K-PoSE/195acbac-1db7-47ed-907f-98e312fc8921.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Pretergeek_OpenChat-3.5-0106_32K-PoSE/1762652579.815889",
-  "retrieved_timestamp": "1762652579.8158898",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Pretergeek/OpenChat-3.5-0106_32K-PoSE",
-    "developer": "Pretergeek",
-    "inference_platform": "unknown",
-    "id": "Pretergeek/OpenChat-3.5-0106_32K-PoSE",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3968991165662664
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3471309425137119
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.026435045317220542
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.276006711409396
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42054166666666665
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.203125
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Pretergeek/OpenChat-3.5-0106_32K-PoSE/54df4d3e-0ef0-4e30-aa46-b47a4589a34c.json b/data/hfopenllm_v2/Pretergeek/OpenChat-3.5-0106_32K-PoSE/54df4d3e-0ef0-4e30-aa46-b47a4589a34c.json
new file mode 100644
index 000000000..f50ca0914
--- /dev/null
+++ b/data/hfopenllm_v2/Pretergeek/OpenChat-3.5-0106_32K-PoSE/54df4d3e-0ef0-4e30-aa46-b47a4589a34c.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Pretergeek_OpenChat-3.5-0106_32K-PoSE/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "OpenChat-3.5-0106_32K-PoSE",
+    "id": "Pretergeek/OpenChat-3.5-0106_32K-PoSE",
+    "developer": "Pretergeek",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3969
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3471
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0264
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.276
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4205
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2031
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Pretergeek/OpenChat-3.5-0106_8.11B_36Layers-Appended/349bccfd-1816-4845-a1b9-2d9f4936adea.json b/data/hfopenllm_v2/Pretergeek/OpenChat-3.5-0106_8.11B_36Layers-Appended/349bccfd-1816-4845-a1b9-2d9f4936adea.json
deleted file mode 100644
index 9de90f022..000000000
--- a/data/hfopenllm_v2/Pretergeek/OpenChat-3.5-0106_8.11B_36Layers-Appended/349bccfd-1816-4845-a1b9-2d9f4936adea.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Pretergeek_OpenChat-3.5-0106_8.11B_36Layers-Appended/1762652579.8160908",
-  "retrieved_timestamp": "1762652579.8160908",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Pretergeek/OpenChat-3.5-0106_8.11B_36Layers-Appended",
-    "developer": "Pretergeek",
-    "inference_platform": "unknown",
-    "id": "Pretergeek/OpenChat-3.5-0106_8.11B_36Layers-Appended",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 8.114
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5975833011963811
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4619637884426022
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.07930513595166164
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3070469798657718
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42540625
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3289561170212766
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Pretergeek/OpenChat-3.5-0106_8.11B_36Layers-Appended/a717d466-9157-4991-8459-f39847d914a2.json b/data/hfopenllm_v2/Pretergeek/OpenChat-3.5-0106_8.11B_36Layers-Appended/a717d466-9157-4991-8459-f39847d914a2.json
new file mode 100644
index 000000000..a32aae183
--- /dev/null
+++ b/data/hfopenllm_v2/Pretergeek/OpenChat-3.5-0106_8.11B_36Layers-Appended/a717d466-9157-4991-8459-f39847d914a2.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Pretergeek_OpenChat-3.5-0106_8.11B_36Layers-Appended/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "OpenChat-3.5-0106_8.11B_36Layers-Appended",
+    "id": "Pretergeek/OpenChat-3.5-0106_8.11B_36Layers-Appended",
+    "developer": "Pretergeek",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 8.114
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5976
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.462
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0793
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.307
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4254
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.329
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Pretergeek/OpenChat-3.5-0106_8.11B_36Layers-Interleaved/15a8789b-27de-49d1-b3e5-9b1fc9b5694e.json b/data/hfopenllm_v2/Pretergeek/OpenChat-3.5-0106_8.11B_36Layers-Interleaved/15a8789b-27de-49d1-b3e5-9b1fc9b5694e.json
new file mode 100644
index 000000000..eea5d5d83
--- /dev/null
+++ b/data/hfopenllm_v2/Pretergeek/OpenChat-3.5-0106_8.11B_36Layers-Interleaved/15a8789b-27de-49d1-b3e5-9b1fc9b5694e.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Pretergeek_OpenChat-3.5-0106_8.11B_36Layers-Interleaved/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "OpenChat-3.5-0106_8.11B_36Layers-Interleaved",
+    "id": "Pretergeek/OpenChat-3.5-0106_8.11B_36Layers-Interleaved",
+    "developer": "Pretergeek",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 8.114
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5961
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4621
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0778
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3045
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4241
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3299
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Pretergeek/OpenChat-3.5-0106_8.11B_36Layers-Interleaved/c2e26b8a-3a12-4cb8-888e-96affc8cbac9.json b/data/hfopenllm_v2/Pretergeek/OpenChat-3.5-0106_8.11B_36Layers-Interleaved/c2e26b8a-3a12-4cb8-888e-96affc8cbac9.json
deleted file mode 100644
index 251cf30f3..000000000
--- a/data/hfopenllm_v2/Pretergeek/OpenChat-3.5-0106_8.11B_36Layers-Interleaved/c2e26b8a-3a12-4cb8-888e-96affc8cbac9.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Pretergeek_OpenChat-3.5-0106_8.11B_36Layers-Interleaved/1762652579.8163",
-  "retrieved_timestamp": "1762652579.8163",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Pretergeek/OpenChat-3.5-0106_8.11B_36Layers-Interleaved",
-    "developer": "Pretergeek",
-    "inference_platform": "unknown",
-    "id": "Pretergeek/OpenChat-3.5-0106_8.11B_36Layers-Interleaved",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 8.114
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5960595663949432
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.46213045510926887
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.07779456193353475
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30453020134228187
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42407291666666663
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3298703457446808
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Pretergeek/OpenChat-3.5-0106_8.99B_40Layers-Appended/921562fe-cc21-4ff3-93de-a62e1d4bf7e7.json b/data/hfopenllm_v2/Pretergeek/OpenChat-3.5-0106_8.99B_40Layers-Appended/921562fe-cc21-4ff3-93de-a62e1d4bf7e7.json
new file mode 100644
index 000000000..8ecc037ff
--- /dev/null
+++ b/data/hfopenllm_v2/Pretergeek/OpenChat-3.5-0106_8.99B_40Layers-Appended/921562fe-cc21-4ff3-93de-a62e1d4bf7e7.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Pretergeek_OpenChat-3.5-0106_8.99B_40Layers-Appended/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "OpenChat-3.5-0106_8.99B_40Layers-Appended",
+    "id": "Pretergeek/OpenChat-3.5-0106_8.99B_40Layers-Appended",
+    "developer": "Pretergeek",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 8.987
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5961
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.462
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0793
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.307
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4254
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.329
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Pretergeek/OpenChat-3.5-0106_8.99B_40Layers-Appended/a70222dc-0589-4f09-ac8c-3ff4fa72328f.json b/data/hfopenllm_v2/Pretergeek/OpenChat-3.5-0106_8.99B_40Layers-Appended/a70222dc-0589-4f09-ac8c-3ff4fa72328f.json
deleted file mode 100644
index fc610749b..000000000
--- a/data/hfopenllm_v2/Pretergeek/OpenChat-3.5-0106_8.99B_40Layers-Appended/a70222dc-0589-4f09-ac8c-3ff4fa72328f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Pretergeek_OpenChat-3.5-0106_8.99B_40Layers-Appended/1762652579.81651",
-  "retrieved_timestamp": "1762652579.816511",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Pretergeek/OpenChat-3.5-0106_8.99B_40Layers-Appended",
-    "developer": "Pretergeek",
-    "inference_platform": "unknown",
-    "id": "Pretergeek/OpenChat-3.5-0106_8.99B_40Layers-Appended",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 8.987
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5960595663949432
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4619637884426022
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.07930513595166164
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3070469798657718
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42540625
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3289561170212766
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Pretergeek/OpenChat-3.5-0106_8.99B_40Layers-Interleaved/19eb8f3a-ca9d-4da4-8e7e-96eebfd33576.json b/data/hfopenllm_v2/Pretergeek/OpenChat-3.5-0106_8.99B_40Layers-Interleaved/19eb8f3a-ca9d-4da4-8e7e-96eebfd33576.json
deleted file mode 100644
index 96ce3b4eb..000000000
--- a/data/hfopenllm_v2/Pretergeek/OpenChat-3.5-0106_8.99B_40Layers-Interleaved/19eb8f3a-ca9d-4da4-8e7e-96eebfd33576.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Pretergeek_OpenChat-3.5-0106_8.99B_40Layers-Interleaved/1762652579.816719",
-  "retrieved_timestamp": "1762652579.816719",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Pretergeek/OpenChat-3.5-0106_8.99B_40Layers-Interleaved",
-    "developer": "Pretergeek",
-    "inference_platform": "unknown",
-    "id": "Pretergeek/OpenChat-3.5-0106_8.99B_40Layers-Interleaved",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 8.987
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5975833011963811
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.46213045510926887
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.07779456193353475
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30453020134228187
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42407291666666663
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3298703457446808
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Pretergeek/OpenChat-3.5-0106_8.99B_40Layers-Interleaved/863969d9-e567-43cc-a0a9-7f80eaba374a.json b/data/hfopenllm_v2/Pretergeek/OpenChat-3.5-0106_8.99B_40Layers-Interleaved/863969d9-e567-43cc-a0a9-7f80eaba374a.json
new file mode 100644
index 000000000..dde7d977d
--- /dev/null
+++ b/data/hfopenllm_v2/Pretergeek/OpenChat-3.5-0106_8.99B_40Layers-Interleaved/863969d9-e567-43cc-a0a9-7f80eaba374a.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Pretergeek_OpenChat-3.5-0106_8.99B_40Layers-Interleaved/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "OpenChat-3.5-0106_8.99B_40Layers-Interleaved",
+    "id": "Pretergeek/OpenChat-3.5-0106_8.99B_40Layers-Interleaved",
+    "developer": "Pretergeek",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 8.987
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5976
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4621
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0778
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3045
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4241
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3299
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Pretergeek/OpenChat-3.5-0106_9.86B_44Layers-Appended/2987fa45-363e-4a07-8e9f-db01586a135b.json b/data/hfopenllm_v2/Pretergeek/OpenChat-3.5-0106_9.86B_44Layers-Appended/2987fa45-363e-4a07-8e9f-db01586a135b.json
new file mode 100644
index 000000000..465c9e212
--- /dev/null
+++ b/data/hfopenllm_v2/Pretergeek/OpenChat-3.5-0106_9.86B_44Layers-Appended/2987fa45-363e-4a07-8e9f-db01586a135b.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Pretergeek_OpenChat-3.5-0106_9.86B_44Layers-Appended/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "OpenChat-3.5-0106_9.86B_44Layers-Appended",
+    "id": "Pretergeek/OpenChat-3.5-0106_9.86B_44Layers-Appended",
+    "developer": "Pretergeek",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 9.859
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5961
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.462
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0793
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.307
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4254
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.329
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Pretergeek/OpenChat-3.5-0106_9.86B_44Layers-Appended/e44eddb9-9764-4bc9-be85-ec7995846da0.json b/data/hfopenllm_v2/Pretergeek/OpenChat-3.5-0106_9.86B_44Layers-Appended/e44eddb9-9764-4bc9-be85-ec7995846da0.json
deleted file mode 100644
index 5ce059edd..000000000
--- a/data/hfopenllm_v2/Pretergeek/OpenChat-3.5-0106_9.86B_44Layers-Appended/e44eddb9-9764-4bc9-be85-ec7995846da0.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Pretergeek_OpenChat-3.5-0106_9.86B_44Layers-Appended/1762652579.816936",
-  "retrieved_timestamp": "1762652579.816937",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Pretergeek/OpenChat-3.5-0106_9.86B_44Layers-Appended",
-    "developer": "Pretergeek",
-    "inference_platform": "unknown",
-    "id": "Pretergeek/OpenChat-3.5-0106_9.86B_44Layers-Appended",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 9.859
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5960595663949432
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4619637884426022
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.07930513595166164
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3070469798657718
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42540625
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3289561170212766
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Pretergeek/openchat-3.5-0106_Rebased_Mistral-7B-v0.2/3488de21-d9a6-49e8-ba8f-d9beee9bdabe.json b/data/hfopenllm_v2/Pretergeek/openchat-3.5-0106_Rebased_Mistral-7B-v0.2/3488de21-d9a6-49e8-ba8f-d9beee9bdabe.json
new file mode 100644
index 000000000..cf3bb48e6
--- /dev/null
+++ b/data/hfopenllm_v2/Pretergeek/openchat-3.5-0106_Rebased_Mistral-7B-v0.2/3488de21-d9a6-49e8-ba8f-d9beee9bdabe.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Pretergeek_openchat-3.5-0106_Rebased_Mistral-7B-v0.2/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "openchat-3.5-0106_Rebased_Mistral-7B-v0.2",
+    "id": "Pretergeek/openchat-3.5-0106_Rebased_Mistral-7B-v0.2",
+    "developer": "Pretergeek",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3706
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3627
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0453
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2718
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.484
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.283
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/PrimeIntellect/INTELLECT-1-Instruct/0cacf042-6b62-4b67-8821-97cd703788d0.json b/data/hfopenllm_v2/PrimeIntellect/INTELLECT-1-Instruct/0cacf042-6b62-4b67-8821-97cd703788d0.json
new file mode 100644
index 000000000..10fb00e0e
--- /dev/null
+++ b/data/hfopenllm_v2/PrimeIntellect/INTELLECT-1-Instruct/0cacf042-6b62-4b67-8821-97cd703788d0.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/PrimeIntellect_INTELLECT-1-Instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "INTELLECT-1-Instruct",
+    "id": "PrimeIntellect/INTELLECT-1-Instruct",
+    "developer": "PrimeIntellect",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 10.211
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.287
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0227
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2483
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3577
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1064
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/PrimeIntellect/INTELLECT-1-Instruct/ea823c15-3c92-4a67-a4fd-7826a9dd9e41.json b/data/hfopenllm_v2/PrimeIntellect/INTELLECT-1-Instruct/ea823c15-3c92-4a67-a4fd-7826a9dd9e41.json
deleted file mode 100644
index d91a460cd..000000000
--- a/data/hfopenllm_v2/PrimeIntellect/INTELLECT-1-Instruct/ea823c15-3c92-4a67-a4fd-7826a9dd9e41.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/PrimeIntellect_INTELLECT-1-Instruct/1762652579.817848",
-  "retrieved_timestamp": "1762652579.8178492",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "PrimeIntellect/INTELLECT-1-Instruct",
-    "developer": "PrimeIntellect",
-    "inference_platform": "unknown",
-    "id": "PrimeIntellect/INTELLECT-1-Instruct",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 10.211
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.0
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.28698007801214714
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.022658610271903322
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2483221476510067
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3576875
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.10638297872340426
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/PrimeIntellect/INTELLECT-1/9f0dfceb-1332-447a-bf6f-6c6c40686a6f.json b/data/hfopenllm_v2/PrimeIntellect/INTELLECT-1/9f0dfceb-1332-447a-bf6f-6c6c40686a6f.json
new file mode 100644
index 000000000..978dc1bf9
--- /dev/null
+++ b/data/hfopenllm_v2/PrimeIntellect/INTELLECT-1/9f0dfceb-1332-447a-bf6f-6c6c40686a6f.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/PrimeIntellect_INTELLECT-1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "INTELLECT-1",
+    "id": "PrimeIntellect/INTELLECT-1",
+    "developer": "PrimeIntellect",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 10.211
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1757
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.276
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2534
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3339
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1123
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/PrimeIntellect/INTELLECT-1/bfffc240-22ab-4cc0-97c8-466ddf472ac4.json b/data/hfopenllm_v2/PrimeIntellect/INTELLECT-1/bfffc240-22ab-4cc0-97c8-466ddf472ac4.json
deleted file mode 100644
index dddbdaff1..000000000
--- a/data/hfopenllm_v2/PrimeIntellect/INTELLECT-1/bfffc240-22ab-4cc0-97c8-466ddf472ac4.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/PrimeIntellect_INTELLECT-1/1762652579.8176599",
-  "retrieved_timestamp": "1762652579.817661",
-  "source_data": [
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-  "source_metadata": {
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-    "name": "PrimeIntellect/INTELLECT-1",
-    "developer": "PrimeIntellect",
-    "inference_platform": "unknown",
-    "id": "PrimeIntellect/INTELLECT-1",
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-      "architecture": "LlamaForCausalLM",
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-        "score_type": "continuous",
-        "min_score": 0,
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
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-        "max_score": 1
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-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.25
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11203457446808511
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/PrimeIntellect/INTELLECT-1/c1308f95-6d55-4ff6-b14e-1bd09b467d99.json b/data/hfopenllm_v2/PrimeIntellect/INTELLECT-1/c1308f95-6d55-4ff6-b14e-1bd09b467d99.json
new file mode 100644
index 000000000..5993f7b41
--- /dev/null
+++ b/data/hfopenllm_v2/PrimeIntellect/INTELLECT-1/c1308f95-6d55-4ff6-b14e-1bd09b467d99.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/PrimeIntellect_INTELLECT-1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "INTELLECT-1",
+    "id": "PrimeIntellect/INTELLECT-1",
+    "developer": "PrimeIntellect",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 10.211
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1757
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.274
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.25
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3753
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.112
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/PrimeIntellect/INTELLECT-1/fee7966f-3e1b-43d9-b129-b0c23aac53b5.json b/data/hfopenllm_v2/PrimeIntellect/INTELLECT-1/fee7966f-3e1b-43d9-b129-b0c23aac53b5.json
deleted file mode 100644
index 848e605d7..000000000
--- a/data/hfopenllm_v2/PrimeIntellect/INTELLECT-1/fee7966f-3e1b-43d9-b129-b0c23aac53b5.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/PrimeIntellect_INTELLECT-1/1762652579.817406",
-  "retrieved_timestamp": "1762652579.817406",
-  "source_data": [
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-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "PrimeIntellect/INTELLECT-1",
-    "developer": "PrimeIntellect",
-    "inference_platform": "unknown",
-    "id": "PrimeIntellect/INTELLECT-1",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 10.211
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
-        "score": 0.1757315035217667
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.27598007801214713
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3339375
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11228390957446809
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/PuxAI/LUA_model/05dc0500-be97-456f-9d12-12192626ea39.json b/data/hfopenllm_v2/PuxAI/LUA_model/05dc0500-be97-456f-9d12-12192626ea39.json
deleted file mode 100644
index 078276895..000000000
--- a/data/hfopenllm_v2/PuxAI/LUA_model/05dc0500-be97-456f-9d12-12192626ea39.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/PuxAI_LUA_model/1762652579.818059",
-  "retrieved_timestamp": "1762652579.818059",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "PuxAI/LUA_model",
-    "developer": "PuxAI",
-    "inference_platform": "unknown",
-    "id": "PuxAI/LUA_model",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.386
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
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-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.34838541666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11228390957446809
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/PuxAI/LUA_model/4ab16120-8d39-4dea-aa76-5c249506848d.json b/data/hfopenllm_v2/PuxAI/LUA_model/4ab16120-8d39-4dea-aa76-5c249506848d.json
new file mode 100644
index 000000000..31a3fa054
--- /dev/null
+++ b/data/hfopenllm_v2/PuxAI/LUA_model/4ab16120-8d39-4dea-aa76-5c249506848d.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/PuxAI_LUA_model/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "LUA_model",
+    "id": "PuxAI/LUA_model",
+    "developer": "PuxAI",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.386
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2282
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2877
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2601
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3484
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1123
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/PygmalionAI/pygmalion-6b/7cdfef58-c871-4158-b97d-ed843f7d667b.json b/data/hfopenllm_v2/PygmalionAI/pygmalion-6b/7cdfef58-c871-4158-b97d-ed843f7d667b.json
deleted file mode 100644
index 4b3c3663e..000000000
--- a/data/hfopenllm_v2/PygmalionAI/pygmalion-6b/7cdfef58-c871-4158-b97d-ed843f7d667b.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/PygmalionAI_pygmalion-6b/1762652579.818316",
-  "retrieved_timestamp": "1762652579.8183172",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "PygmalionAI/pygmalion-6b",
-    "developer": "PygmalionAI",
-    "inference_platform": "unknown",
-    "id": "PygmalionAI/pygmalion-6b",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "GPTJForCausalLM",
-      "params_billions": 6.0
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.20910406610016974
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.31988944643860034
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.008308157099697885
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.24916107382550334
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3683541666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
-        "score": 0.11835106382978723
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/PygmalionAI/pygmalion-6b/f9647ea0-6464-4aa0-b1ea-a994a7bcca3c.json b/data/hfopenllm_v2/PygmalionAI/pygmalion-6b/f9647ea0-6464-4aa0-b1ea-a994a7bcca3c.json
new file mode 100644
index 000000000..e8e7d6daf
--- /dev/null
+++ b/data/hfopenllm_v2/PygmalionAI/pygmalion-6b/f9647ea0-6464-4aa0-b1ea-a994a7bcca3c.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/PygmalionAI_pygmalion-6b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "pygmalion-6b",
+    "id": "PygmalionAI/pygmalion-6b",
+    "developer": "PygmalionAI",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "GPTJForCausalLM",
+      "params_billions": 6.0
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2091
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3199
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0083
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2492
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3684
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1184
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Q-bert/MetaMath-1B/713b1c64-9637-4d83-aee9-f81988fec0b5.json b/data/hfopenllm_v2/Q-bert/MetaMath-1B/713b1c64-9637-4d83-aee9-f81988fec0b5.json
deleted file mode 100644
index 3e08f98d7..000000000
--- a/data/hfopenllm_v2/Q-bert/MetaMath-1B/713b1c64-9637-4d83-aee9-f81988fec0b5.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Q-bert_MetaMath-1B/1762652579.8185658",
-  "retrieved_timestamp": "1762652579.8185658",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Q-bert/MetaMath-1B",
-    "developer": "Q-bert",
-    "inference_platform": "unknown",
-    "id": "Q-bert/MetaMath-1B",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 1.236
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5300391849182392
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.34506863677929517
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.06268882175226587
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2516778523489933
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3289166666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1495179521276596
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Q-bert/MetaMath-1B/c5ef47ab-2e73-43d6-b9ea-1ee7e50d9df8.json b/data/hfopenllm_v2/Q-bert/MetaMath-1B/c5ef47ab-2e73-43d6-b9ea-1ee7e50d9df8.json
new file mode 100644
index 000000000..c76a87d90
--- /dev/null
+++ b/data/hfopenllm_v2/Q-bert/MetaMath-1B/c5ef47ab-2e73-43d6-b9ea-1ee7e50d9df8.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Q-bert_MetaMath-1B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "MetaMath-1B",
+    "id": "Q-bert/MetaMath-1B",
+    "developer": "Q-bert",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 1.236
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.53
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3451
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0627
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2517
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3289
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1495
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Quazim0t0/1up-14b/9ef7a4a0-b751-45ff-ab1f-d50687a3f4c3.json b/data/hfopenllm_v2/Quazim0t0/1up-14b/9ef7a4a0-b751-45ff-ab1f-d50687a3f4c3.json
new file mode 100644
index 000000000..3622e1d5d
--- /dev/null
+++ b/data/hfopenllm_v2/Quazim0t0/1up-14b/9ef7a4a0-b751-45ff-ab1f-d50687a3f4c3.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Quazim0t0_1up-14b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "1up-14b",
+    "id": "Quazim0t0/1up-14b",
+    "developer": "Quazim0t0",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 14.66
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6888
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6921
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4162
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3624
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4583
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5406
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Quazim0t0/1up-14b/c315527d-ea14-42a8-a002-4bb67c085fc0.json b/data/hfopenllm_v2/Quazim0t0/1up-14b/c315527d-ea14-42a8-a002-4bb67c085fc0.json
deleted file mode 100644
index e9bf48e93..000000000
--- a/data/hfopenllm_v2/Quazim0t0/1up-14b/c315527d-ea14-42a8-a002-4bb67c085fc0.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Quazim0t0_1up-14b/1762652579.818811",
-  "retrieved_timestamp": "1762652579.818812",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Quazim0t0/1up-14b",
-    "developer": "Quazim0t0",
-    "inference_platform": "unknown",
-    "id": "Quazim0t0/1up-14b",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 14.66
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6888079185450161
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6920935635451656
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4161631419939577
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3624161073825503
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4583333333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5406416223404256
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Quazim0t0/Adamant-14B-sce/7ed9dcc6-7915-4a7e-a190-07e067d2fd79.json b/data/hfopenllm_v2/Quazim0t0/Adamant-14B-sce/7ed9dcc6-7915-4a7e-a190-07e067d2fd79.json
deleted file mode 100644
index 8457e76f4..000000000
--- a/data/hfopenllm_v2/Quazim0t0/Adamant-14B-sce/7ed9dcc6-7915-4a7e-a190-07e067d2fd79.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/Quazim0t0_Adamant-14B-sce/1762652579.819103",
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-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
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-    "developer": "Quazim0t0",
-    "inference_platform": "unknown",
-    "id": "Quazim0t0/Adamant-14B-sce",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 14.66
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6857604489421402
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-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
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-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.35067114093959734
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.45579166666666665
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5371509308510638
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Quazim0t0/Adamant-14B-sce/8b303795-557b-4fa1-bbc6-d36bd77ee739.json b/data/hfopenllm_v2/Quazim0t0/Adamant-14B-sce/8b303795-557b-4fa1-bbc6-d36bd77ee739.json
new file mode 100644
index 000000000..620dc27f3
--- /dev/null
+++ b/data/hfopenllm_v2/Quazim0t0/Adamant-14B-sce/8b303795-557b-4fa1-bbc6-d36bd77ee739.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Quazim0t0_Adamant-14B-sce/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Adamant-14B-sce",
+    "id": "Quazim0t0/Adamant-14B-sce",
+    "developer": "Quazim0t0",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 14.66
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6858
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6859
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3988
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3507
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4558
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5372
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Quazim0t0/Alice-14B/3dd99496-1274-439f-b7c2-1fd731745753.json b/data/hfopenllm_v2/Quazim0t0/Alice-14B/3dd99496-1274-439f-b7c2-1fd731745753.json
deleted file mode 100644
index fd4e5189d..000000000
--- a/data/hfopenllm_v2/Quazim0t0/Alice-14B/3dd99496-1274-439f-b7c2-1fd731745753.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "retrieved_timestamp": "1762652579.819317",
-  "source_data": [
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-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Quazim0t0/Alice-14B",
-    "developer": "Quazim0t0",
-    "inference_platform": "unknown",
-    "id": "Quazim0t0/Alice-14B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 14.66
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6836371937570092
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
-        "score": 0.4569486404833837
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.35151006711409394
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.44794791666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Quazim0t0/Alice-14B/7fec288e-0b0d-45c0-b0e6-17b905cd7ea3.json b/data/hfopenllm_v2/Quazim0t0/Alice-14B/7fec288e-0b0d-45c0-b0e6-17b905cd7ea3.json
new file mode 100644
index 000000000..bb5caa0bb
--- /dev/null
+++ b/data/hfopenllm_v2/Quazim0t0/Alice-14B/7fec288e-0b0d-45c0-b0e6-17b905cd7ea3.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Quazim0t0_Alice-14B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Alice-14B",
+    "id": "Quazim0t0/Alice-14B",
+    "developer": "Quazim0t0",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 14.66
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6836
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6938
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4569
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3515
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4479
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5419
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Quazim0t0/Alien-CoT-14B-sce/5a09783b-82da-43ae-a607-2cfea550d931.json b/data/hfopenllm_v2/Quazim0t0/Alien-CoT-14B-sce/5a09783b-82da-43ae-a607-2cfea550d931.json
new file mode 100644
index 000000000..e5578e0bc
--- /dev/null
+++ b/data/hfopenllm_v2/Quazim0t0/Alien-CoT-14B-sce/5a09783b-82da-43ae-a607-2cfea550d931.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Quazim0t0_Alien-CoT-14B-sce/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Alien-CoT-14B-sce",
+    "id": "Quazim0t0/Alien-CoT-14B-sce",
+    "developer": "Quazim0t0",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 14.66
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0749
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6395
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5204
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3918
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4785
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.517
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Quazim0t0/Alien-CoT-14B-sce/dc89616f-c86d-41d0-9945-12703dc8f905.json b/data/hfopenllm_v2/Quazim0t0/Alien-CoT-14B-sce/dc89616f-c86d-41d0-9945-12703dc8f905.json
deleted file mode 100644
index ed1ffed1f..000000000
--- a/data/hfopenllm_v2/Quazim0t0/Alien-CoT-14B-sce/dc89616f-c86d-41d0-9945-12703dc8f905.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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deleted file mode 100644
index f5a52b223..000000000
--- a/data/hfopenllm_v2/Quazim0t0/Aura-8B-Linear/2d22ab53-547d-41bb-8700-12bc5b16c97d.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-    "developer": "Quazim0t0",
-    "inference_platform": "unknown",
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-    "additional_details": {
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-        "lower_is_better": false,
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diff --git a/data/hfopenllm_v2/Quazim0t0/Aura-8B-Linear/6c2d191a-a2d1-459c-b2e2-5766bec62ce7.json b/data/hfopenllm_v2/Quazim0t0/Aura-8B-Linear/6c2d191a-a2d1-459c-b2e2-5766bec62ce7.json
new file mode 100644
index 000000000..3a532220d
--- /dev/null
+++ b/data/hfopenllm_v2/Quazim0t0/Aura-8B-Linear/6c2d191a-a2d1-459c-b2e2-5766bec62ce7.json
@@ -0,0 +1,132 @@
+{
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+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
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+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Aura-8B-Linear",
+    "id": "Quazim0t0/Aura-8B-Linear",
+    "developer": "Quazim0t0",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+      "score_details": {
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+    {
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+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5074
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
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+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+      }
+    },
+    {
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+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+      "score_details": {
+        "score": 0.3687
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+    },
+    {
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+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
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+        "score_type": "continuous",
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+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3801
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Quazim0t0/Casa-14b-sce/09bbb732-62d8-4cec-972a-273b728df1f4.json b/data/hfopenllm_v2/Quazim0t0/Casa-14b-sce/09bbb732-62d8-4cec-972a-273b728df1f4.json
deleted file mode 100644
index 16a988c64..000000000
--- a/data/hfopenllm_v2/Quazim0t0/Casa-14b-sce/09bbb732-62d8-4cec-972a-273b728df1f4.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-    "id": "Quazim0t0/Casa-14b-sce",
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-    {
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-      "score_details": {
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-  ]
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diff --git a/data/hfopenllm_v2/Quazim0t0/Casa-14b-sce/121cb5fc-2fa2-4718-b325-c40014802e40.json b/data/hfopenllm_v2/Quazim0t0/Casa-14b-sce/121cb5fc-2fa2-4718-b325-c40014802e40.json
new file mode 100644
index 000000000..90b774872
--- /dev/null
+++ b/data/hfopenllm_v2/Quazim0t0/Casa-14b-sce/121cb5fc-2fa2-4718-b325-c40014802e40.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Quazim0t0_Casa-14b-sce/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Casa-14b-sce",
+    "id": "Quazim0t0/Casa-14b-sce",
+    "developer": "Quazim0t0",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 14.66
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6718
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6891
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4985
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3339
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4323
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5408
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Quazim0t0/Casa-14b-sce/8bbfa040-b16e-4116-ad3e-b3e4e58a7de6.json b/data/hfopenllm_v2/Quazim0t0/Casa-14b-sce/8bbfa040-b16e-4116-ad3e-b3e4e58a7de6.json
new file mode 100644
index 000000000..1cd19c932
--- /dev/null
+++ b/data/hfopenllm_v2/Quazim0t0/Casa-14b-sce/8bbfa040-b16e-4116-ad3e-b3e4e58a7de6.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Quazim0t0_Casa-14b-sce/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Casa-14b-sce",
+    "id": "Quazim0t0/Casa-14b-sce",
+    "developer": "Quazim0t0",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 14.66
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6654
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6901
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4698
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3331
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.431
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5426
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Quazim0t0/Casa-14b-sce/a0dde1eb-a763-4568-8122-1b280dedb2ce.json b/data/hfopenllm_v2/Quazim0t0/Casa-14b-sce/a0dde1eb-a763-4568-8122-1b280dedb2ce.json
deleted file mode 100644
index 5a8aecf83..000000000
--- a/data/hfopenllm_v2/Quazim0t0/Casa-14b-sce/a0dde1eb-a763-4568-8122-1b280dedb2ce.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Quazim0t0_Casa-14b-sce/1762652579.820149",
-  "retrieved_timestamp": "1762652579.820149",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Quazim0t0/Casa-14b-sce",
-    "developer": "Quazim0t0",
-    "inference_platform": "unknown",
-    "id": "Quazim0t0/Casa-14b-sce",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 14.66
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6718218770639681
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6891400252742456
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4984894259818731
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3338926174496644
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4322916666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5408078457446809
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Quazim0t0/Charlie-8B-Linear/c56d7463-dad2-4c9c-8823-a4b6faa5aeb9.json b/data/hfopenllm_v2/Quazim0t0/Charlie-8B-Linear/c56d7463-dad2-4c9c-8823-a4b6faa5aeb9.json
deleted file mode 100644
index 81b957dc6..000000000
--- a/data/hfopenllm_v2/Quazim0t0/Charlie-8B-Linear/c56d7463-dad2-4c9c-8823-a4b6faa5aeb9.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Quazim0t0_Charlie-8B-Linear/1762652579.820338",
-  "retrieved_timestamp": "1762652579.820339",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Quazim0t0/Charlie-8B-Linear",
-    "developer": "Quazim0t0",
-    "inference_platform": "unknown",
-    "id": "Quazim0t0/Charlie-8B-Linear",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-    {
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-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5141359215016831
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.26510574018126887
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2709731543624161
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3485416666666667
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3572972074468085
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Quazim0t0/Charlie-8B-Linear/c8891914-c9fb-4b4d-9592-826f04520e7b.json b/data/hfopenllm_v2/Quazim0t0/Charlie-8B-Linear/c8891914-c9fb-4b4d-9592-826f04520e7b.json
new file mode 100644
index 000000000..4db9f876c
--- /dev/null
+++ b/data/hfopenllm_v2/Quazim0t0/Charlie-8B-Linear/c8891914-c9fb-4b4d-9592-826f04520e7b.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Quazim0t0_Charlie-8B-Linear/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Charlie-8B-Linear",
+    "id": "Quazim0t0/Charlie-8B-Linear",
+    "developer": "Quazim0t0",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7381
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5141
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2651
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.271
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3485
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3573
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Quazim0t0/Chromatic-8b-sce/e77ffcb3-c7d8-4700-b4ea-fe4e5ba94223.json b/data/hfopenllm_v2/Quazim0t0/Chromatic-8b-sce/e77ffcb3-c7d8-4700-b4ea-fe4e5ba94223.json
new file mode 100644
index 000000000..3005f0449
--- /dev/null
+++ b/data/hfopenllm_v2/Quazim0t0/Chromatic-8b-sce/e77ffcb3-c7d8-4700-b4ea-fe4e5ba94223.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Quazim0t0_Chromatic-8b-sce/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Chromatic-8b-sce",
+    "id": "Quazim0t0/Chromatic-8b-sce",
+    "developer": "Quazim0t0",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5085
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5063
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1556
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3196
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4051
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3755
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Quazim0t0/Chromatic-8b-sce/f626897d-5003-40fa-8020-c100748a847f.json b/data/hfopenllm_v2/Quazim0t0/Chromatic-8b-sce/f626897d-5003-40fa-8020-c100748a847f.json
deleted file mode 100644
index 1cfb57c5b..000000000
--- a/data/hfopenllm_v2/Quazim0t0/Chromatic-8b-sce/f626897d-5003-40fa-8020-c100748a847f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Quazim0t0_Chromatic-8b-sce/1762652579.8205519",
-  "retrieved_timestamp": "1762652579.820553",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Quazim0t0/Chromatic-8b-sce",
-    "developer": "Quazim0t0",
-    "inference_platform": "unknown",
-    "id": "Quazim0t0/Chromatic-8b-sce",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5085074269604649
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5063171816307924
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1555891238670695
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
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diff --git a/data/hfopenllm_v2/Quazim0t0/CoT_Phi/da237415-f34e-4cbb-9a94-3ff621f3df8d.json b/data/hfopenllm_v2/Quazim0t0/CoT_Phi/da237415-f34e-4cbb-9a94-3ff621f3df8d.json
new file mode 100644
index 000000000..c2af11b27
--- /dev/null
+++ b/data/hfopenllm_v2/Quazim0t0/CoT_Phi/da237415-f34e-4cbb-9a94-3ff621f3df8d.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Quazim0t0_CoT_Phi/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "CoT_Phi",
+    "id": "Quazim0t0/CoT_Phi",
+    "developer": "Quazim0t0",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 14.66
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6159
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6751
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3308
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3582
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4244
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4901
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Quazim0t0/Dyson-14b/35c401bd-ed12-475e-afbc-e664243d90d5.json b/data/hfopenllm_v2/Quazim0t0/Dyson-14b/35c401bd-ed12-475e-afbc-e664243d90d5.json
deleted file mode 100644
index 1f4d01aac..000000000
--- a/data/hfopenllm_v2/Quazim0t0/Dyson-14b/35c401bd-ed12-475e-afbc-e664243d90d5.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/Quazim0t0_Dyson-14b/1762652579.821013",
-  "retrieved_timestamp": "1762652579.821014",
-  "source_data": [
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-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Quazim0t0/Dyson-14b",
-    "developer": "Quazim0t0",
-    "inference_platform": "unknown",
-    "id": "Quazim0t0/Dyson-14b",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 14.66
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-        "score_type": "continuous",
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-        "max_score": 1
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-    },
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-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-      }
-    },
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-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5398936170212766
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Quazim0t0/Dyson-14b/479f3bfa-d614-46a9-88c7-9891852b0d8c.json b/data/hfopenllm_v2/Quazim0t0/Dyson-14b/479f3bfa-d614-46a9-88c7-9891852b0d8c.json
new file mode 100644
index 000000000..05cb9e800
--- /dev/null
+++ b/data/hfopenllm_v2/Quazim0t0/Dyson-14b/479f3bfa-d614-46a9-88c7-9891852b0d8c.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Quazim0t0_Dyson-14b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Dyson-14b",
+    "id": "Quazim0t0/Dyson-14b",
+    "developer": "Quazim0t0",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 14.66
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5857
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6863
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5393
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3138
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4259
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5399
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Quazim0t0/Edu-14B-Linear/a70e7642-3cc7-4719-bc22-68182baa3857.json b/data/hfopenllm_v2/Quazim0t0/Edu-14B-Linear/a70e7642-3cc7-4719-bc22-68182baa3857.json
deleted file mode 100644
index dfab67e46..000000000
--- a/data/hfopenllm_v2/Quazim0t0/Edu-14B-Linear/a70e7642-3cc7-4719-bc22-68182baa3857.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/Quazim0t0_Edu-14B-Linear/1762652579.821216",
-  "retrieved_timestamp": "1762652579.821216",
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-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Quazim0t0/Edu-14B-Linear",
-    "developer": "Quazim0t0",
-    "inference_platform": "unknown",
-    "id": "Quazim0t0/Edu-14B-Linear",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 14.66
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-    },
-    {
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-        "score_type": "continuous",
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-        "max_score": 1
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-    {
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-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.31711409395973156
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.43775000000000003
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.508560505319149
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Quazim0t0/Edu-14B-Linear/f5f0c7da-fb03-4023-81a7-801b0729a19d.json b/data/hfopenllm_v2/Quazim0t0/Edu-14B-Linear/f5f0c7da-fb03-4023-81a7-801b0729a19d.json
new file mode 100644
index 000000000..ce336e83e
--- /dev/null
+++ b/data/hfopenllm_v2/Quazim0t0/Edu-14B-Linear/f5f0c7da-fb03-4023-81a7-801b0729a19d.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Quazim0t0_Edu-14B-Linear/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Edu-14B-Linear",
+    "id": "Quazim0t0/Edu-14B-Linear",
+    "developer": "Quazim0t0",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 14.66
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6158
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+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6758
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+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+      "score_details": {
+        "score": 0.2447
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+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3171
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
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+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+      "score_details": {
+        "score": 0.4378
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+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5086
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Quazim0t0/Fugazi14b/40f51424-2922-498d-bbbc-d500667a8554.json b/data/hfopenllm_v2/Quazim0t0/Fugazi14b/40f51424-2922-498d-bbbc-d500667a8554.json
new file mode 100644
index 000000000..d3ba7ceca
--- /dev/null
+++ b/data/hfopenllm_v2/Quazim0t0/Fugazi14b/40f51424-2922-498d-bbbc-d500667a8554.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Quazim0t0_Fugazi14b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Fugazi14b",
+    "id": "Quazim0t0/Fugazi14b",
+    "developer": "Quazim0t0",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 14.66
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6998
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6941
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4653
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3515
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4546
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5417
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Quazim0t0/Fugazi14b/ee38e1c3-7a6b-4357-94ac-b309da33d14b.json b/data/hfopenllm_v2/Quazim0t0/Fugazi14b/ee38e1c3-7a6b-4357-94ac-b309da33d14b.json
deleted file mode 100644
index b14868217..000000000
--- a/data/hfopenllm_v2/Quazim0t0/Fugazi14b/ee38e1c3-7a6b-4357-94ac-b309da33d14b.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Quazim0t0_Fugazi14b/1762652579.8215911",
-  "retrieved_timestamp": "1762652579.821592",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Quazim0t0/Fugazi14b",
-    "developer": "Quazim0t0",
-    "inference_platform": "unknown",
-    "id": "Quazim0t0/Fugazi14b",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 14.66
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6997987561891337
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6941017680723065
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4652567975830816
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.35151006711409394
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.45455208333333336
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5417220744680851
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Quazim0t0/GZA-14B-sce/4f25d177-6bcf-4864-87a4-1beb21a7373d.json b/data/hfopenllm_v2/Quazim0t0/GZA-14B-sce/4f25d177-6bcf-4864-87a4-1beb21a7373d.json
new file mode 100644
index 000000000..f440931a3
--- /dev/null
+++ b/data/hfopenllm_v2/Quazim0t0/GZA-14B-sce/4f25d177-6bcf-4864-87a4-1beb21a7373d.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Quazim0t0_GZA-14B-sce/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "GZA-14B-sce",
+    "id": "Quazim0t0/GZA-14B-sce",
+    "developer": "Quazim0t0",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 14.66
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6274
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6687
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4721
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.302
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4285
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5232
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Quazim0t0/GZA-14B-sce/cfb61ec3-ab7e-4697-892e-a8dd62518f39.json b/data/hfopenllm_v2/Quazim0t0/GZA-14B-sce/cfb61ec3-ab7e-4697-892e-a8dd62518f39.json
deleted file mode 100644
index 9ac6a2eda..000000000
--- a/data/hfopenllm_v2/Quazim0t0/GZA-14B-sce/cfb61ec3-ab7e-4697-892e-a8dd62518f39.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Quazim0t0_GZA-14B-sce/1762652579.821823",
-  "retrieved_timestamp": "1762652579.821824",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Quazim0t0/GZA-14B-sce",
-    "developer": "Quazim0t0",
-    "inference_platform": "unknown",
-    "id": "Quazim0t0/GZA-14B-sce",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 14.66
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6274086091570367
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6686539892126272
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.47205438066465255
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30201342281879195
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4284791666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.523188164893617
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Quazim0t0/Geedorah-14B/b160ab1f-be6b-4dfa-8fa9-36fc65a64782.json b/data/hfopenllm_v2/Quazim0t0/Geedorah-14B/b160ab1f-be6b-4dfa-8fa9-36fc65a64782.json
new file mode 100644
index 000000000..36ede1fd0
--- /dev/null
+++ b/data/hfopenllm_v2/Quazim0t0/Geedorah-14B/b160ab1f-be6b-4dfa-8fa9-36fc65a64782.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Quazim0t0_Geedorah-14B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Geedorah-14B",
+    "id": "Quazim0t0/Geedorah-14B",
+    "developer": "Quazim0t0",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 14.66
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6873
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6964
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4449
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3473
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4547
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5421
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Quazim0t0/Geedorah-14B/c4a79914-b049-436b-9de6-640cc3e119ee.json b/data/hfopenllm_v2/Quazim0t0/Geedorah-14B/c4a79914-b049-436b-9de6-640cc3e119ee.json
deleted file mode 100644
index 4ae52e323..000000000
--- a/data/hfopenllm_v2/Quazim0t0/Geedorah-14B/c4a79914-b049-436b-9de6-640cc3e119ee.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Quazim0t0_Geedorah-14B/1762652579.822031",
-  "retrieved_timestamp": "1762652579.822032",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Quazim0t0/Geedorah-14B",
-    "developer": "Quazim0t0",
-    "inference_platform": "unknown",
-    "id": "Quazim0t0/Geedorah-14B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 14.66
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6872841837435781
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6964189914061528
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.44486404833836857
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.34731543624161076
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.45467708333333334
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5421376329787234
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Quazim0t0/GivingTree-8b-sce/9b753075-a150-4bc3-9425-2371010daf8b.json b/data/hfopenllm_v2/Quazim0t0/GivingTree-8b-sce/9b753075-a150-4bc3-9425-2371010daf8b.json
deleted file mode 100644
index 26386ccc9..000000000
--- a/data/hfopenllm_v2/Quazim0t0/GivingTree-8b-sce/9b753075-a150-4bc3-9425-2371010daf8b.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Quazim0t0_GivingTree-8b-sce/1762652579.8222332",
-  "retrieved_timestamp": "1762652579.8222342",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Quazim0t0/GivingTree-8b-sce",
-    "developer": "Quazim0t0",
-    "inference_platform": "unknown",
-    "id": "Quazim0t0/GivingTree-8b-sce",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5006139266036339
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5040482025572203
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.15256797583081572
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3221476510067114
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.405125
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37608045212765956
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Quazim0t0/GivingTree-8b-sce/d497a7e3-11c2-4e0c-8788-091caabede56.json b/data/hfopenllm_v2/Quazim0t0/GivingTree-8b-sce/d497a7e3-11c2-4e0c-8788-091caabede56.json
new file mode 100644
index 000000000..cab765743
--- /dev/null
+++ b/data/hfopenllm_v2/Quazim0t0/GivingTree-8b-sce/d497a7e3-11c2-4e0c-8788-091caabede56.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Quazim0t0_GivingTree-8b-sce/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "GivingTree-8b-sce",
+    "id": "Quazim0t0/GivingTree-8b-sce",
+    "developer": "Quazim0t0",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5006
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.504
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1526
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3221
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4051
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3761
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Quazim0t0/GuiltySpark-14B-ties/2b50b73e-9734-4502-b088-8d4936291aaa.json b/data/hfopenllm_v2/Quazim0t0/GuiltySpark-14B-ties/2b50b73e-9734-4502-b088-8d4936291aaa.json
deleted file mode 100644
index 559a23549..000000000
--- a/data/hfopenllm_v2/Quazim0t0/GuiltySpark-14B-ties/2b50b73e-9734-4502-b088-8d4936291aaa.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Quazim0t0_GuiltySpark-14B-ties/1762652579.822431",
-  "retrieved_timestamp": "1762652579.822432",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Quazim0t0/GuiltySpark-14B-ties",
-    "developer": "Quazim0t0",
-    "inference_platform": "unknown",
-    "id": "Quazim0t0/GuiltySpark-14B-ties",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 14.66
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6854357549080883
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6914302574038697
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.38368580060422963
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3649328859060403
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4557291666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5399767287234043
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Quazim0t0/GuiltySpark-14B-ties/4a55bcf2-e1c1-4fce-8f79-472dae869b26.json b/data/hfopenllm_v2/Quazim0t0/GuiltySpark-14B-ties/4a55bcf2-e1c1-4fce-8f79-472dae869b26.json
new file mode 100644
index 000000000..00575bbe7
--- /dev/null
+++ b/data/hfopenllm_v2/Quazim0t0/GuiltySpark-14B-ties/4a55bcf2-e1c1-4fce-8f79-472dae869b26.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Quazim0t0_GuiltySpark-14B-ties/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "GuiltySpark-14B-ties",
+    "id": "Quazim0t0/GuiltySpark-14B-ties",
+    "developer": "Quazim0t0",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 14.66
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6854
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6914
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3837
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3649
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4557
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.54
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Quazim0t0/Halo-14B-sce/156424f1-2a1e-4e61-b081-bb066ee3958d.json b/data/hfopenllm_v2/Quazim0t0/Halo-14B-sce/156424f1-2a1e-4e61-b081-bb066ee3958d.json
deleted file mode 100644
index ef44c3cdd..000000000
--- a/data/hfopenllm_v2/Quazim0t0/Halo-14B-sce/156424f1-2a1e-4e61-b081-bb066ee3958d.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Quazim0t0_Halo-14B-sce/1762652579.822633",
-  "retrieved_timestamp": "1762652579.822633",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Quazim0t0/Halo-14B-sce",
-    "developer": "Quazim0t0",
-    "inference_platform": "unknown",
-    "id": "Quazim0t0/Halo-14B-sce",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 14.66
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6753691316817156
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-    {
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-      "metric_config": {
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-        "lower_is_better": false,
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-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
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-        "max_score": 1
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-      "score_details": {
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-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
-        "score": 0.5376496010638298
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Quazim0t0/Halo-14B-sce/5b00dd5e-0ad3-4ea0-aa0d-2327d610e6a6.json b/data/hfopenllm_v2/Quazim0t0/Halo-14B-sce/5b00dd5e-0ad3-4ea0-aa0d-2327d610e6a6.json
new file mode 100644
index 000000000..8957c0b18
--- /dev/null
+++ b/data/hfopenllm_v2/Quazim0t0/Halo-14B-sce/5b00dd5e-0ad3-4ea0-aa0d-2327d610e6a6.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Quazim0t0_Halo-14B-sce/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Halo-14B-sce",
+    "id": "Quazim0t0/Halo-14B-sce",
+    "developer": "Quazim0t0",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 14.66
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6754
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6876
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.429
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3473
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4401
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5376
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Quazim0t0/Heretic1.5b/1c80d383-1ccb-4f32-a63d-dd3954fe5f6b.json b/data/hfopenllm_v2/Quazim0t0/Heretic1.5b/1c80d383-1ccb-4f32-a63d-dd3954fe5f6b.json
new file mode 100644
index 000000000..171487262
--- /dev/null
+++ b/data/hfopenllm_v2/Quazim0t0/Heretic1.5b/1c80d383-1ccb-4f32-a63d-dd3954fe5f6b.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Quazim0t0_Heretic1.5b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Heretic1.5b",
+    "id": "Quazim0t0/Heretic1.5b",
+    "developer": "Quazim0t0",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 1.73
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2062
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3529
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.244
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2685
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3511
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1728
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Quazim0t0/Heretic1.5b/e3d7453d-0ba6-4980-be81-827122149bb6.json b/data/hfopenllm_v2/Quazim0t0/Heretic1.5b/e3d7453d-0ba6-4980-be81-827122149bb6.json
deleted file mode 100644
index 6a01a3f3e..000000000
--- a/data/hfopenllm_v2/Quazim0t0/Heretic1.5b/e3d7453d-0ba6-4980-be81-827122149bb6.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Quazim0t0_Heretic1.5b/1762652579.8228369",
-  "retrieved_timestamp": "1762652579.8228369",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Quazim0t0/Heretic1.5b",
-    "developer": "Quazim0t0",
-    "inference_platform": "unknown",
-    "id": "Quazim0t0/Heretic1.5b",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 1.73
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.20615633186611523
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3529180801121154
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.24395770392749244
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2684563758389262
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3511458333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.17278922872340424
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Quazim0t0/Hyde-14b-sce/75065074-7ef6-41ac-be7c-496cc458640a.json b/data/hfopenllm_v2/Quazim0t0/Hyde-14b-sce/75065074-7ef6-41ac-be7c-496cc458640a.json
new file mode 100644
index 000000000..305107133
--- /dev/null
+++ b/data/hfopenllm_v2/Quazim0t0/Hyde-14b-sce/75065074-7ef6-41ac-be7c-496cc458640a.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Quazim0t0_Hyde-14b-sce/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Hyde-14b-sce",
+    "id": "Quazim0t0/Hyde-14b-sce",
+    "developer": "Quazim0t0",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 14.66
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6715
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6885
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2734
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3414
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4141
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.53
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Quazim0t0/Hyde-14b-sce/814ce716-6f61-4980-a8f6-7918c7b0eea5.json b/data/hfopenllm_v2/Quazim0t0/Hyde-14b-sce/814ce716-6f61-4980-a8f6-7918c7b0eea5.json
deleted file mode 100644
index 838f31a59..000000000
--- a/data/hfopenllm_v2/Quazim0t0/Hyde-14b-sce/814ce716-6f61-4980-a8f6-7918c7b0eea5.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Quazim0t0_Hyde-14b-sce/1762652579.823039",
-  "retrieved_timestamp": "1762652579.823039",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Quazim0t0/Hyde-14b-sce",
-    "developer": "Quazim0t0",
-    "inference_platform": "unknown",
-    "id": "Quazim0t0/Hyde-14b-sce",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 14.66
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6715470507143269
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6885164810743584
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.27341389728096677
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3414429530201342
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-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41409375
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
-        "score": 0.5300033244680851
-      }
-    }
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-}
diff --git a/data/hfopenllm_v2/Quazim0t0/Imagine-v0.5-16bit/49a0287b-48d7-44db-bf20-a084919d332f.json b/data/hfopenllm_v2/Quazim0t0/Imagine-v0.5-16bit/49a0287b-48d7-44db-bf20-a084919d332f.json
new file mode 100644
index 000000000..f52a4474a
--- /dev/null
+++ b/data/hfopenllm_v2/Quazim0t0/Imagine-v0.5-16bit/49a0287b-48d7-44db-bf20-a084919d332f.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Quazim0t0_Imagine-v0.5-16bit/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Imagine-v0.5-16bit",
+    "id": "Quazim0t0/Imagine-v0.5-16bit",
+    "developer": "Quazim0t0",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 14.66
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2759
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6769
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1397
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3649
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4349
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5354
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Quazim0t0/Imagine-v0.5-16bit/ccb33ad4-98f5-4980-a442-1a1772fab792.json b/data/hfopenllm_v2/Quazim0t0/Imagine-v0.5-16bit/ccb33ad4-98f5-4980-a442-1a1772fab792.json
deleted file mode 100644
index 50af25e46..000000000
--- a/data/hfopenllm_v2/Quazim0t0/Imagine-v0.5-16bit/ccb33ad4-98f5-4980-a442-1a1772fab792.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Quazim0t0_Imagine-v0.5-16bit/1762652579.823242",
-  "retrieved_timestamp": "1762652579.823243",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Quazim0t0/Imagine-v0.5-16bit",
-    "developer": "Quazim0t0",
-    "inference_platform": "unknown",
-    "id": "Quazim0t0/Imagine-v0.5-16bit",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 14.66
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2758990589413866
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6769135492947932
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.13972809667673716
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3649328859060403
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.43492708333333335
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.535405585106383
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Quazim0t0/Imbue-14b/7b2861ee-58f9-4ac9-99ee-2ec663e1b157.json b/data/hfopenllm_v2/Quazim0t0/Imbue-14b/7b2861ee-58f9-4ac9-99ee-2ec663e1b157.json
new file mode 100644
index 000000000..8fbf439a2
--- /dev/null
+++ b/data/hfopenllm_v2/Quazim0t0/Imbue-14b/7b2861ee-58f9-4ac9-99ee-2ec663e1b157.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Quazim0t0_Imbue-14b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Imbue-14b",
+    "id": "Quazim0t0/Imbue-14b",
+    "developer": "Quazim0t0",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 14.66
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.52
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6845
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5317
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3129
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4167
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5402
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Quazim0t0/Imbue-14b/c50c07fc-b529-43c9-9f3d-0f1ff174b905.json b/data/hfopenllm_v2/Quazim0t0/Imbue-14b/c50c07fc-b529-43c9-9f3d-0f1ff174b905.json
deleted file mode 100644
index 9248c5b58..000000000
--- a/data/hfopenllm_v2/Quazim0t0/Imbue-14b/c50c07fc-b529-43c9-9f3d-0f1ff174b905.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Quazim0t0_Imbue-14b/1762652579.8234398",
-  "retrieved_timestamp": "1762652579.8234408",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Quazim0t0/Imbue-14b",
-    "developer": "Quazim0t0",
-    "inference_platform": "unknown",
-    "id": "Quazim0t0/Imbue-14b",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 14.66
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5199725616918665
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6845292092854045
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5317220543806647
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.31291946308724833
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41672916666666665
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5402260638297872
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Quazim0t0/Insom/51f419c6-1107-41c9-896b-fadbbde4f5e9.json b/data/hfopenllm_v2/Quazim0t0/Insom/51f419c6-1107-41c9-896b-fadbbde4f5e9.json
deleted file mode 100644
index 8153fed23..000000000
--- a/data/hfopenllm_v2/Quazim0t0/Insom/51f419c6-1107-41c9-896b-fadbbde4f5e9.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Quazim0t0_Insom/1762652579.823634",
-  "retrieved_timestamp": "1762652579.8236349",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Quazim0t0/Insom",
-    "developer": "Quazim0t0",
-    "inference_platform": "unknown",
-    "id": "Quazim0t0/Insom",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 14.66
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.68183863260593
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6881456689046391
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5352393617021277
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Quazim0t0/Insom/628542f9-fac6-42a7-8ec5-5cd93f977a7e.json b/data/hfopenllm_v2/Quazim0t0/Insom/628542f9-fac6-42a7-8ec5-5cd93f977a7e.json
new file mode 100644
index 000000000..b3398ce09
--- /dev/null
+++ b/data/hfopenllm_v2/Quazim0t0/Insom/628542f9-fac6-42a7-8ec5-5cd93f977a7e.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Quazim0t0_Insom/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Insom",
+    "id": "Quazim0t0/Insom",
+    "developer": "Quazim0t0",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 14.66
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6818
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6881
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3852
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3498
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4311
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5352
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Quazim0t0/InspectorDeck-14B-sce/1ac547e3-1b29-462a-aa08-1e9ef9e3f409.json b/data/hfopenllm_v2/Quazim0t0/InspectorDeck-14B-sce/1ac547e3-1b29-462a-aa08-1e9ef9e3f409.json
deleted file mode 100644
index 1ca5e506d..000000000
--- a/data/hfopenllm_v2/Quazim0t0/InspectorDeck-14B-sce/1ac547e3-1b29-462a-aa08-1e9ef9e3f409.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Quazim0t0_InspectorDeck-14B-sce/1762652579.8238342",
-  "retrieved_timestamp": "1762652579.8238342",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Quazim0t0/InspectorDeck-14B-sce",
-    "developer": "Quazim0t0",
-    "inference_platform": "unknown",
-    "id": "Quazim0t0/InspectorDeck-14B-sce",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 14.66
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.32408454013129606
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-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6668480318764974
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3164652567975831
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.29697986577181207
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.39815625
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5260970744680851
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Quazim0t0/InspectorDeck-14B-sce/5b0924ae-cf52-4245-a687-91e4b1742c16.json b/data/hfopenllm_v2/Quazim0t0/InspectorDeck-14B-sce/5b0924ae-cf52-4245-a687-91e4b1742c16.json
new file mode 100644
index 000000000..6da062e91
--- /dev/null
+++ b/data/hfopenllm_v2/Quazim0t0/InspectorDeck-14B-sce/5b0924ae-cf52-4245-a687-91e4b1742c16.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Quazim0t0_InspectorDeck-14B-sce/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "InspectorDeck-14B-sce",
+    "id": "Quazim0t0/InspectorDeck-14B-sce",
+    "developer": "Quazim0t0",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 14.66
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3241
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6668
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3165
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.297
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3982
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5261
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Quazim0t0/Jekyl-8b-sce/459c2b98-c3af-4334-a4bc-13334efe49b8.json b/data/hfopenllm_v2/Quazim0t0/Jekyl-8b-sce/459c2b98-c3af-4334-a4bc-13334efe49b8.json
new file mode 100644
index 000000000..6119a139c
--- /dev/null
+++ b/data/hfopenllm_v2/Quazim0t0/Jekyl-8b-sce/459c2b98-c3af-4334-a4bc-13334efe49b8.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Quazim0t0_Jekyl-8b-sce/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Jekyl-8b-sce",
+    "id": "Quazim0t0/Jekyl-8b-sce",
+    "developer": "Quazim0t0",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4697
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4994
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1616
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3381
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4197
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3686
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Quazim0t0/Jekyl-8b-sce/dc6a9e35-c130-4edc-93bc-5f0b6ac0e05d.json b/data/hfopenllm_v2/Quazim0t0/Jekyl-8b-sce/dc6a9e35-c130-4edc-93bc-5f0b6ac0e05d.json
deleted file mode 100644
index d53cbe29a..000000000
--- a/data/hfopenllm_v2/Quazim0t0/Jekyl-8b-sce/dc6a9e35-c130-4edc-93bc-5f0b6ac0e05d.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Quazim0t0_Jekyl-8b-sce/1762652579.82404",
-  "retrieved_timestamp": "1762652579.824041",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Quazim0t0/Jekyl-8b-sce",
-    "developer": "Quazim0t0",
-    "inference_platform": "unknown",
-    "id": "Quazim0t0/Jekyl-8b-sce",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    {
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-        "evaluation_description": "Accuracy on BBH",
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-        "score_type": "continuous",
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-        "max_score": 1
-      },
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-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-    },
-    {
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-        "score_type": "continuous",
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-        "max_score": 1
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-      "score_details": {
-        "score": 0.33808724832214765
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-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41966666666666663
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3686003989361702
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Quazim0t0/Jigsaw-14B-Linear/7533defe-b19d-4571-a403-c443ec03a31b.json b/data/hfopenllm_v2/Quazim0t0/Jigsaw-14B-Linear/7533defe-b19d-4571-a403-c443ec03a31b.json
deleted file mode 100644
index a7d6ecb22..000000000
--- a/data/hfopenllm_v2/Quazim0t0/Jigsaw-14B-Linear/7533defe-b19d-4571-a403-c443ec03a31b.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Quazim0t0_Jigsaw-14B-Linear/1762652579.824291",
-  "retrieved_timestamp": "1762652579.824291",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
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-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-  ]
-}
diff --git a/data/hfopenllm_v2/Quazim0t0/Jigsaw-14B-Linear/b2780aa3-d299-4180-8441-dd54e94255cb.json b/data/hfopenllm_v2/Quazim0t0/Jigsaw-14B-Linear/b2780aa3-d299-4180-8441-dd54e94255cb.json
new file mode 100644
index 000000000..ab44c9d65
--- /dev/null
+++ b/data/hfopenllm_v2/Quazim0t0/Jigsaw-14B-Linear/b2780aa3-d299-4180-8441-dd54e94255cb.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Quazim0t0_Jigsaw-14B-Linear/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Jigsaw-14B-Linear",
+    "id": "Quazim0t0/Jigsaw-14B-Linear",
+    "developer": "Quazim0t0",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 14.66
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.648
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6865
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2651
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3406
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4483
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5234
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Quazim0t0/Katana-8b-sce/dea8c833-7deb-43f8-9b15-acbadf4fc749.json b/data/hfopenllm_v2/Quazim0t0/Katana-8b-sce/dea8c833-7deb-43f8-9b15-acbadf4fc749.json
deleted file mode 100644
index f141ee9ff..000000000
--- a/data/hfopenllm_v2/Quazim0t0/Katana-8b-sce/dea8c833-7deb-43f8-9b15-acbadf4fc749.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Quazim0t0_Katana-8b-sce/1762652579.8246028",
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-  "source_data": [
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Quazim0t0/Katana-8b-sce",
-    "developer": "Quazim0t0",
-    "inference_platform": "unknown",
-    "id": "Quazim0t0/Katana-8b-sce",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
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-        "max_score": 1
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-    },
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-        "lower_is_better": false,
-        "score_type": "continuous",
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4037604166666667
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3770777925531915
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Quazim0t0/Katana-8b-sce/f55d398d-0555-4e89-a37c-def04741a0dd.json b/data/hfopenllm_v2/Quazim0t0/Katana-8b-sce/f55d398d-0555-4e89-a37c-def04741a0dd.json
new file mode 100644
index 000000000..3136f0083
--- /dev/null
+++ b/data/hfopenllm_v2/Quazim0t0/Katana-8b-sce/f55d398d-0555-4e89-a37c-def04741a0dd.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Quazim0t0_Katana-8b-sce/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Katana-8b-sce",
+    "id": "Quazim0t0/Katana-8b-sce",
+    "developer": "Quazim0t0",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5107
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5075
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1511
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3247
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4038
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3771
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Quazim0t0/Knot-CoT-14B-sce/63caf8f8-9e55-4ef6-ae76-ee7184a50675.json b/data/hfopenllm_v2/Quazim0t0/Knot-CoT-14B-sce/63caf8f8-9e55-4ef6-ae76-ee7184a50675.json
new file mode 100644
index 000000000..12f493aa0
--- /dev/null
+++ b/data/hfopenllm_v2/Quazim0t0/Knot-CoT-14B-sce/63caf8f8-9e55-4ef6-ae76-ee7184a50675.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Quazim0t0_Knot-CoT-14B-sce/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Knot-CoT-14B-sce",
+    "id": "Quazim0t0/Knot-CoT-14B-sce",
+    "developer": "Quazim0t0",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 14.66
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4832
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6616
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3995
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2936
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.414
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5154
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Quazim0t0/Knot-CoT-14B-sce/fe0b75bf-2035-4ffe-8cbf-d5f4c66907aa.json b/data/hfopenllm_v2/Quazim0t0/Knot-CoT-14B-sce/fe0b75bf-2035-4ffe-8cbf-d5f4c66907aa.json
deleted file mode 100644
index 319b23591..000000000
--- a/data/hfopenllm_v2/Quazim0t0/Knot-CoT-14B-sce/fe0b75bf-2035-4ffe-8cbf-d5f4c66907aa.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Quazim0t0_Knot-CoT-14B-sce/1762652579.8248682",
-  "retrieved_timestamp": "1762652579.8248692",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Quazim0t0/Knot-CoT-14B-sce",
-    "developer": "Quazim0t0",
-    "inference_platform": "unknown",
-    "id": "Quazim0t0/Knot-CoT-14B-sce",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 14.66
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-      "score_details": {
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-    },
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-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6615610657544672
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3995468277945619
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
-        "score": 0.2936241610738255
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-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.515375664893617
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Quazim0t0/Lineage-14B/37f890b7-5487-46ea-b61e-d91b5349d078.json b/data/hfopenllm_v2/Quazim0t0/Lineage-14B/37f890b7-5487-46ea-b61e-d91b5349d078.json
deleted file mode 100644
index 96d2f071b..000000000
--- a/data/hfopenllm_v2/Quazim0t0/Lineage-14B/37f890b7-5487-46ea-b61e-d91b5349d078.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Quazim0t0_Lineage-14B/1762652579.82509",
-  "retrieved_timestamp": "1762652579.8250911",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Quazim0t0/Lineage-14B",
-    "developer": "Quazim0t0",
-    "inference_platform": "unknown",
-    "id": "Quazim0t0/Lineage-14B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 14.66
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7070428684778609
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6933789516730196
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4244712990936556
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3598993288590604
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4597291666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5410571808510638
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Quazim0t0/Lineage-14B/f82ccde3-bd3b-499c-8b8c-182822392cea.json b/data/hfopenllm_v2/Quazim0t0/Lineage-14B/f82ccde3-bd3b-499c-8b8c-182822392cea.json
new file mode 100644
index 000000000..2aa939b3a
--- /dev/null
+++ b/data/hfopenllm_v2/Quazim0t0/Lineage-14B/f82ccde3-bd3b-499c-8b8c-182822392cea.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Quazim0t0_Lineage-14B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Lineage-14B",
+    "id": "Quazim0t0/Lineage-14B",
+    "developer": "Quazim0t0",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 14.66
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.707
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6934
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4245
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3599
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4597
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5411
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Quazim0t0/Lo-Phi-14b/8a52fb4a-d6ae-4c8d-aed0-2137e0a83ea1.json b/data/hfopenllm_v2/Quazim0t0/Lo-Phi-14b/8a52fb4a-d6ae-4c8d-aed0-2137e0a83ea1.json
new file mode 100644
index 000000000..26d2ee23e
--- /dev/null
+++ b/data/hfopenllm_v2/Quazim0t0/Lo-Phi-14b/8a52fb4a-d6ae-4c8d-aed0-2137e0a83ea1.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Quazim0t0_Lo-Phi-14b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Lo-Phi-14b",
+    "id": "Quazim0t0/Lo-Phi-14b",
+    "developer": "Quazim0t0",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 14.66
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4941
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6852
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5196
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.328
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4232
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5369
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Quazim0t0/Loke-14B-sce/b7cbc2fb-2c52-4c13-9266-52103421f2ee.json b/data/hfopenllm_v2/Quazim0t0/Loke-14B-sce/b7cbc2fb-2c52-4c13-9266-52103421f2ee.json
new file mode 100644
index 000000000..65be87e3f
--- /dev/null
+++ b/data/hfopenllm_v2/Quazim0t0/Loke-14B-sce/b7cbc2fb-2c52-4c13-9266-52103421f2ee.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Quazim0t0_Loke-14B-sce/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Loke-14B-sce",
+    "id": "Quazim0t0/Loke-14B-sce",
+    "developer": "Quazim0t0",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 14.66
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6848
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6924
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3905
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3649
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4637
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5401
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Quazim0t0/Loke-14B-sce/cfac443e-5c66-45e3-bf7a-7c596d01d4ff.json b/data/hfopenllm_v2/Quazim0t0/Loke-14B-sce/cfac443e-5c66-45e3-bf7a-7c596d01d4ff.json
deleted file mode 100644
index 6c873bd91..000000000
--- a/data/hfopenllm_v2/Quazim0t0/Loke-14B-sce/cfac443e-5c66-45e3-bf7a-7c596d01d4ff.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Quazim0t0_Loke-14B-sce/1762652579.825529",
-  "retrieved_timestamp": "1762652579.82553",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Quazim0t0/Loke-14B-sce",
-    "developer": "Quazim0t0",
-    "inference_platform": "unknown",
-    "id": "Quazim0t0/Loke-14B-sce",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 14.66
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6847863668399845
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6923902176707362
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
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deleted file mode 100644
index f01d78f51..000000000
--- a/data/hfopenllm_v2/Quazim0t0/MFDOOM-14B/3efa12a5-4525-4ee9-80bd-99c4b8d2ccb2.json
+++ /dev/null
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new file mode 100644
index 000000000..dc38a1ad9
--- /dev/null
+++ b/data/hfopenllm_v2/Quazim0t0/MFDOOM-14B/f4474361-e897-4dbb-a89e-5451a4724474.json
@@ -0,0 +1,132 @@
+{
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+    "developer": "Quazim0t0",
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+      "architecture": "LlamaForCausalLM",
+      "params_billions": 14.66
+    }
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+  "evaluation_results": [
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+        "source_type": "hf_dataset",
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
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+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "max_score": 1.0
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+      "score_details": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
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+        "hf_repo": "TIGER-Lab/MMLU-Pro"
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Quazim0t0/MFGRIMM-14B/773228d8-7e03-4ba8-87c1-f59ac5aad425.json b/data/hfopenllm_v2/Quazim0t0/MFGRIMM-14B/773228d8-7e03-4ba8-87c1-f59ac5aad425.json
deleted file mode 100644
index 05104ae96..000000000
--- a/data/hfopenllm_v2/Quazim0t0/MFGRIMM-14B/773228d8-7e03-4ba8-87c1-f59ac5aad425.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/Quazim0t0/MFGRIMM-14B/de257b5e-4629-4f8a-b08d-d2ca372593e2.json b/data/hfopenllm_v2/Quazim0t0/MFGRIMM-14B/de257b5e-4629-4f8a-b08d-d2ca372593e2.json
new file mode 100644
index 000000000..ed96fac2b
--- /dev/null
+++ b/data/hfopenllm_v2/Quazim0t0/MFGRIMM-14B/de257b5e-4629-4f8a-b08d-d2ca372593e2.json
@@ -0,0 +1,132 @@
+{
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+    "id": "Quazim0t0/MFGRIMM-14B",
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
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+      },
+      "metric_config": {
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+        "hf_repo": "Idavidrein/gpqa"
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+    },
+    {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
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+    {
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+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
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+        "max_score": 1.0
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+      "score_details": {
+        "score": 0.5416
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+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Quazim0t0/Math_Phi4_Reason/a37aada3-104a-488a-898f-245ff257de46.json b/data/hfopenllm_v2/Quazim0t0/Math_Phi4_Reason/a37aada3-104a-488a-898f-245ff257de46.json
new file mode 100644
index 000000000..79be95de5
--- /dev/null
+++ b/data/hfopenllm_v2/Quazim0t0/Math_Phi4_Reason/a37aada3-104a-488a-898f-245ff257de46.json
@@ -0,0 +1,132 @@
+{
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+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Math_Phi4_Reason",
+    "id": "Quazim0t0/Math_Phi4_Reason",
+    "developer": "Quazim0t0",
+    "inference_platform": "unknown",
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+  },
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+        "hf_repo": "SaylorTwift/bbh"
+      },
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+        "min_score": 0.0,
+        "max_score": 1.0
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+    },
+    {
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+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
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+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "max_score": 1.0
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+        "hf_repo": "Idavidrein/gpqa"
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+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
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+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
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+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.503
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Quazim0t0/Mithril-14B-sce/8ab4e441-2efb-4510-87ea-43f3fbcc67ac.json b/data/hfopenllm_v2/Quazim0t0/Mithril-14B-sce/8ab4e441-2efb-4510-87ea-43f3fbcc67ac.json
deleted file mode 100644
index 2c8ff8641..000000000
--- a/data/hfopenllm_v2/Quazim0t0/Mithril-14B-sce/8ab4e441-2efb-4510-87ea-43f3fbcc67ac.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/Quazim0t0_Mithril-14B-sce/1762652579.826359",
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-  "source_data": [
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-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Quazim0t0/Mithril-14B-sce",
-    "developer": "Quazim0t0",
-    "inference_platform": "unknown",
-    "id": "Quazim0t0/Mithril-14B-sce",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 14.66
-    }
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
-        "score": 0.6957772044841022
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-        "lower_is_better": false,
-        "score_type": "continuous",
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-    {
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-        "lower_is_better": false,
-        "score_type": "continuous",
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
-        "score": 0.3691275167785235
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-      }
-    }
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-}
diff --git a/data/hfopenllm_v2/Quazim0t0/Mithril-14B-sce/d9d655d1-d94c-483a-a3a2-ca196e1391d1.json b/data/hfopenllm_v2/Quazim0t0/Mithril-14B-sce/d9d655d1-d94c-483a-a3a2-ca196e1391d1.json
new file mode 100644
index 000000000..0346b1864
--- /dev/null
+++ b/data/hfopenllm_v2/Quazim0t0/Mithril-14B-sce/d9d655d1-d94c-483a-a3a2-ca196e1391d1.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Quazim0t0_Mithril-14B-sce/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Mithril-14B-sce",
+    "id": "Quazim0t0/Mithril-14B-sce",
+    "developer": "Quazim0t0",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 14.66
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6958
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6926
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3822
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3691
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4611
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5403
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Quazim0t0/Mononoke-14B-sce/6f2d122b-f7fe-448a-ac8b-864314e94692.json b/data/hfopenllm_v2/Quazim0t0/Mononoke-14B-sce/6f2d122b-f7fe-448a-ac8b-864314e94692.json
deleted file mode 100644
index a03f51261..000000000
--- a/data/hfopenllm_v2/Quazim0t0/Mononoke-14B-sce/6f2d122b-f7fe-448a-ac8b-864314e94692.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "source_data": [
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-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Quazim0t0/Mononoke-14B-sce",
-    "developer": "Quazim0t0",
-    "inference_platform": "unknown",
-    "id": "Quazim0t0/Mononoke-14B-sce",
-    "additional_details": {
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-      "params_billions": 14.66
-    }
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-      "evaluation_name": "IFEval",
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-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
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-    },
-    {
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-        "lower_is_better": false,
-        "score_type": "continuous",
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-        "max_score": 1
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-      "score_details": {
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-    },
-    {
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-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4154583333333333
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5297539893617021
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Quazim0t0/Mononoke-14B-sce/77bf7126-0cb9-43ef-8d23-5f1395f91642.json b/data/hfopenllm_v2/Quazim0t0/Mononoke-14B-sce/77bf7126-0cb9-43ef-8d23-5f1395f91642.json
new file mode 100644
index 000000000..24ae15f0e
--- /dev/null
+++ b/data/hfopenllm_v2/Quazim0t0/Mononoke-14B-sce/77bf7126-0cb9-43ef-8d23-5f1395f91642.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Quazim0t0_Mononoke-14B-sce/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Mononoke-14B-sce",
+    "id": "Quazim0t0/Mononoke-14B-sce",
+    "developer": "Quazim0t0",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 14.66
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3502
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6744
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4698
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.323
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4155
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5298
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Quazim0t0/Motion-8B-Linear/73f410be-3084-4994-8406-f8ac70880626.json b/data/hfopenllm_v2/Quazim0t0/Motion-8B-Linear/73f410be-3084-4994-8406-f8ac70880626.json
new file mode 100644
index 000000000..6934a4cda
--- /dev/null
+++ b/data/hfopenllm_v2/Quazim0t0/Motion-8B-Linear/73f410be-3084-4994-8406-f8ac70880626.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Quazim0t0_Motion-8B-Linear/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Motion-8B-Linear",
+    "id": "Quazim0t0/Motion-8B-Linear",
+    "developer": "Quazim0t0",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7686
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5084
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1888
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.271
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3606
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3785
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Quazim0t0/Motion-8B-Linear/db82138b-f915-4451-aa85-8bc4c7fdd225.json b/data/hfopenllm_v2/Quazim0t0/Motion-8B-Linear/db82138b-f915-4451-aa85-8bc4c7fdd225.json
deleted file mode 100644
index 0d2449469..000000000
--- a/data/hfopenllm_v2/Quazim0t0/Motion-8B-Linear/db82138b-f915-4451-aa85-8bc4c7fdd225.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/Quazim0t0_Motion-8B-Linear/1762652579.826771",
-  "retrieved_timestamp": "1762652579.826771",
-  "source_data": [
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-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Quazim0t0/Motion-8B-Linear",
-    "developer": "Quazim0t0",
-    "inference_platform": "unknown",
-    "id": "Quazim0t0/Motion-8B-Linear",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7685917809190725
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-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
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-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
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-        "score": 0.18882175226586104
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2709731543624161
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.36060416666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3784906914893617
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Quazim0t0/Mouse-9B/24caad7a-15fa-4820-91cc-0f544a34d173.json b/data/hfopenllm_v2/Quazim0t0/Mouse-9B/24caad7a-15fa-4820-91cc-0f544a34d173.json
new file mode 100644
index 000000000..cd04f17a6
--- /dev/null
+++ b/data/hfopenllm_v2/Quazim0t0/Mouse-9B/24caad7a-15fa-4820-91cc-0f544a34d173.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Quazim0t0_Mouse-9B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Mouse-9B",
+    "id": "Quazim0t0/Mouse-9B",
+    "developer": "Quazim0t0",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 9.207
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1325
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2979
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0053
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2542
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.347
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1139
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Quazim0t0/Mouse-9B/70e3145f-d67b-403d-af2a-1b06b2ba0f24.json b/data/hfopenllm_v2/Quazim0t0/Mouse-9B/70e3145f-d67b-403d-af2a-1b06b2ba0f24.json
deleted file mode 100644
index 257ea40d4..000000000
--- a/data/hfopenllm_v2/Quazim0t0/Mouse-9B/70e3145f-d67b-403d-af2a-1b06b2ba0f24.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Quazim0t0_Mouse-9B/1762652579.826978",
-  "retrieved_timestamp": "1762652579.826978",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Quazim0t0/Mouse-9B",
-    "developer": "Quazim0t0",
-    "inference_platform": "unknown",
-    "id": "Quazim0t0/Mouse-9B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 9.207
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.29789470527601253
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.005287009063444109
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.25419463087248323
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3469583333333333
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11386303191489362
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Quazim0t0/Nova-14b-sce/3336c8fa-fcef-4513-946d-9254f537e418.json b/data/hfopenllm_v2/Quazim0t0/Nova-14b-sce/3336c8fa-fcef-4513-946d-9254f537e418.json
deleted file mode 100644
index e05603993..000000000
--- a/data/hfopenllm_v2/Quazim0t0/Nova-14b-sce/3336c8fa-fcef-4513-946d-9254f537e418.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Quazim0t0_Nova-14b-sce/1762652579.827177",
-  "retrieved_timestamp": "1762652579.827178",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Quazim0t0/Nova-14b-sce",
-    "developer": "Quazim0t0",
-    "inference_platform": "unknown",
-    "id": "Quazim0t0/Nova-14b-sce",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 14.66
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7021968377239058
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
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-        "max_score": 1
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-        "score": 0.4161631419939577
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.36325503355704697
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4570625
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5413065159574468
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Quazim0t0/Nova-14b-sce/e087b221-f813-4688-8d98-17980f98ac5b.json b/data/hfopenllm_v2/Quazim0t0/Nova-14b-sce/e087b221-f813-4688-8d98-17980f98ac5b.json
new file mode 100644
index 000000000..5316de52d
--- /dev/null
+++ b/data/hfopenllm_v2/Quazim0t0/Nova-14b-sce/e087b221-f813-4688-8d98-17980f98ac5b.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Quazim0t0_Nova-14b-sce/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Nova-14b-sce",
+    "id": "Quazim0t0/Nova-14b-sce",
+    "developer": "Quazim0t0",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 14.66
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7022
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6935
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4162
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3633
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4571
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5413
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Quazim0t0/NovaScotia-14b-stock/8ab3ce59-d0cd-4764-98c7-c4df81bc3c23.json b/data/hfopenllm_v2/Quazim0t0/NovaScotia-14b-stock/8ab3ce59-d0cd-4764-98c7-c4df81bc3c23.json
deleted file mode 100644
index df564a043..000000000
--- a/data/hfopenllm_v2/Quazim0t0/NovaScotia-14b-stock/8ab3ce59-d0cd-4764-98c7-c4df81bc3c23.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Quazim0t0_NovaScotia-14b-stock/1762652579.827381",
-  "retrieved_timestamp": "1762652579.827381",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Quazim0t0/NovaScotia-14b-stock",
-    "developer": "Quazim0t0",
-    "inference_platform": "unknown",
-    "id": "Quazim0t0/NovaScotia-14b-stock",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 14.66
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
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diff --git a/data/hfopenllm_v2/Quazim0t0/NovaScotia-14b-stock/f4d03bff-3b34-497f-a17f-0379bc562f11.json b/data/hfopenllm_v2/Quazim0t0/NovaScotia-14b-stock/f4d03bff-3b34-497f-a17f-0379bc562f11.json
new file mode 100644
index 000000000..b80b45290
--- /dev/null
+++ b/data/hfopenllm_v2/Quazim0t0/NovaScotia-14b-stock/f4d03bff-3b34-497f-a17f-0379bc562f11.json
@@ -0,0 +1,132 @@
+{
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+  "source_metadata": {
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+    "source_type": "documentation",
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+  "model_info": {
+    "name": "NovaScotia-14b-stock",
+    "id": "Quazim0t0/NovaScotia-14b-stock",
+    "developer": "Quazim0t0",
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+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Quazim0t0/ODB-14B-sce/2ca21612-ea90-41f3-b618-3ea81c09c3ae.json b/data/hfopenllm_v2/Quazim0t0/ODB-14B-sce/2ca21612-ea90-41f3-b618-3ea81c09c3ae.json
new file mode 100644
index 000000000..78c79f5cf
--- /dev/null
+++ b/data/hfopenllm_v2/Quazim0t0/ODB-14B-sce/2ca21612-ea90-41f3-b618-3ea81c09c3ae.json
@@ -0,0 +1,132 @@
+{
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+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
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+    "name": "ODB-14B-sce",
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+    "developer": "Quazim0t0",
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+        "hf_repo": "SaylorTwift/bbh"
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+        "hf_repo": "TAUR-Lab/MuSR"
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+        "evaluation_description": "Accuracy on MUSR",
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+      },
+      "metric_config": {
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Quazim0t0/ODB-14B-sce/66743ed1-93ab-41f7-9002-0080e7f74722.json b/data/hfopenllm_v2/Quazim0t0/ODB-14B-sce/66743ed1-93ab-41f7-9002-0080e7f74722.json
deleted file mode 100644
index 3e5138e58..000000000
--- a/data/hfopenllm_v2/Quazim0t0/ODB-14B-sce/66743ed1-93ab-41f7-9002-0080e7f74722.json
+++ /dev/null
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diff --git a/data/hfopenllm_v2/Quazim0t0/ODB-14B-sce/79d7d2a1-dcb6-40a7-b29c-7213ebd261df.json b/data/hfopenllm_v2/Quazim0t0/ODB-14B-sce/79d7d2a1-dcb6-40a7-b29c-7213ebd261df.json
deleted file mode 100644
index 9aff2044f..000000000
--- a/data/hfopenllm_v2/Quazim0t0/ODB-14B-sce/79d7d2a1-dcb6-40a7-b29c-7213ebd261df.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/Quazim0t0/ODB-14B-sce/d4dc2088-9911-4966-afe9-022df89dd522.json b/data/hfopenllm_v2/Quazim0t0/ODB-14B-sce/d4dc2088-9911-4966-afe9-022df89dd522.json
new file mode 100644
index 000000000..a373a9579
--- /dev/null
+++ b/data/hfopenllm_v2/Quazim0t0/ODB-14B-sce/d4dc2088-9911-4966-afe9-022df89dd522.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Quazim0t0_ODB-14b-sce/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
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+    "id": "Quazim0t0/ODB-14b-sce",
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+      "architecture": "LlamaForCausalLM",
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+  "evaluation_results": [
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+        "source_type": "hf_dataset",
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+        "hf_repo": "SaylorTwift/bbh"
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+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
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+      "metric_config": {
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+        "hf_repo": "Idavidrein/gpqa"
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+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3624
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4571
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5411
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Quazim0t0/Oasis-14B-ties/a3ef4bc2-c560-4a62-8227-2bd30120b537.json b/data/hfopenllm_v2/Quazim0t0/Oasis-14B-ties/a3ef4bc2-c560-4a62-8227-2bd30120b537.json
deleted file mode 100644
index f3f980215..000000000
--- a/data/hfopenllm_v2/Quazim0t0/Oasis-14B-ties/a3ef4bc2-c560-4a62-8227-2bd30120b537.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/Quazim0t0_Oasis-14B-ties/1762652579.827992",
-  "retrieved_timestamp": "1762652579.8279932",
-  "source_data": [
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-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Quazim0t0/Oasis-14B-ties",
-    "developer": "Quazim0t0",
-    "inference_platform": "unknown",
-    "id": "Quazim0t0/Oasis-14B-ties",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 14.66
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
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-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-        "score": 0.37537764350453173
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3649328859060403
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-    },
-    {
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-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4570625
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5404753989361702
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Quazim0t0/Oasis-14B-ties/ad03a075-8f24-46f6-ae04-5a04eb7061c1.json b/data/hfopenllm_v2/Quazim0t0/Oasis-14B-ties/ad03a075-8f24-46f6-ae04-5a04eb7061c1.json
new file mode 100644
index 000000000..5c2da9f94
--- /dev/null
+++ b/data/hfopenllm_v2/Quazim0t0/Oasis-14B-ties/ad03a075-8f24-46f6-ae04-5a04eb7061c1.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Quazim0t0_Oasis-14B-ties/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Oasis-14B-ties",
+    "id": "Quazim0t0/Oasis-14B-ties",
+    "developer": "Quazim0t0",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 14.66
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6937
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6915
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3754
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3649
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4571
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5405
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Quazim0t0/Origami-14B-sce/2d1da226-e65c-48a0-aabb-46b1cf670a82.json b/data/hfopenllm_v2/Quazim0t0/Origami-14B-sce/2d1da226-e65c-48a0-aabb-46b1cf670a82.json
new file mode 100644
index 000000000..c9e2044e6
--- /dev/null
+++ b/data/hfopenllm_v2/Quazim0t0/Origami-14B-sce/2d1da226-e65c-48a0-aabb-46b1cf670a82.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Quazim0t0_Origami-14B-sce/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Origami-14B-sce",
+    "id": "Quazim0t0/Origami-14B-sce",
+    "developer": "Quazim0t0",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 14.66
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3259
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.662
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2915
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2836
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4035
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5244
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Quazim0t0/Origami-14B-sce/82826944-e4a1-47bd-b240-c70e21acfc51.json b/data/hfopenllm_v2/Quazim0t0/Origami-14B-sce/82826944-e4a1-47bd-b240-c70e21acfc51.json
deleted file mode 100644
index 2207bc07d..000000000
--- a/data/hfopenllm_v2/Quazim0t0/Origami-14B-sce/82826944-e4a1-47bd-b240-c70e21acfc51.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/Quazim0t0_Origami-14B-sce/1762652579.828193",
-  "retrieved_timestamp": "1762652579.8281941",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Quazim0t0/Origami-14B-sce",
-    "developer": "Quazim0t0",
-    "inference_platform": "unknown",
-    "id": "Quazim0t0/Origami-14B-sce",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 14.66
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3259329689667859
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
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-        "score_type": "continuous",
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-      },
-      "score_details": {
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-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-      },
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-    },
-    {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2835570469798658
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.40348958333333335
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5244348404255319
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Quazim0t0/Phi4.Turn.R1Distill.16bit/7fb3a035-2b83-4a58-818f-16fe6d9a8ab3.json b/data/hfopenllm_v2/Quazim0t0/Phi4.Turn.R1Distill.16bit/7fb3a035-2b83-4a58-818f-16fe6d9a8ab3.json
new file mode 100644
index 000000000..75adf6c43
--- /dev/null
+++ b/data/hfopenllm_v2/Quazim0t0/Phi4.Turn.R1Distill.16bit/7fb3a035-2b83-4a58-818f-16fe6d9a8ab3.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Quazim0t0_Phi4.Turn.R1Distill.16bit/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Phi4.Turn.R1Distill.16bit",
+    "id": "Quazim0t0/Phi4.Turn.R1Distill.16bit",
+    "developer": "Quazim0t0",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 14.66
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3126
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+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6563
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2311
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2945
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3902
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5257
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Quazim0t0/Phi4.Turn.R1Distill_v1.5.1-Tensors/87018726-9f81-47b1-883e-609afea7fb37.json b/data/hfopenllm_v2/Quazim0t0/Phi4.Turn.R1Distill_v1.5.1-Tensors/87018726-9f81-47b1-883e-609afea7fb37.json
new file mode 100644
index 000000000..5b87ab22e
--- /dev/null
+++ b/data/hfopenllm_v2/Quazim0t0/Phi4.Turn.R1Distill_v1.5.1-Tensors/87018726-9f81-47b1-883e-609afea7fb37.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Quazim0t0_Phi4.Turn.R1Distill_v1.5.1-Tensors/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Phi4.Turn.R1Distill_v1.5.1-Tensors",
+    "id": "Quazim0t0/Phi4.Turn.R1Distill_v1.5.1-Tensors",
+    "developer": "Quazim0t0",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 14.66
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2995
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6456
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.219
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2685
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3929
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5117
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Quazim0t0/Phi4Basis-14B-sce/292b9333-96c7-4fc7-bf35-78bbce9f10d3.json b/data/hfopenllm_v2/Quazim0t0/Phi4Basis-14B-sce/292b9333-96c7-4fc7-bf35-78bbce9f10d3.json
new file mode 100644
index 000000000..0f7720935
--- /dev/null
+++ b/data/hfopenllm_v2/Quazim0t0/Phi4Basis-14B-sce/292b9333-96c7-4fc7-bf35-78bbce9f10d3.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Quazim0t0_Phi4Basis-14B-sce/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Phi4Basis-14B-sce",
+    "id": "Quazim0t0/Phi4Basis-14B-sce",
+    "developer": "Quazim0t0",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 14.66
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6502
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6909
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4789
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3289
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4338
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.539
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Quazim0t0/Ponder-14B-linear/30942374-a112-4035-a4f2-e30bff57f9ce.json b/data/hfopenllm_v2/Quazim0t0/Ponder-14B-linear/30942374-a112-4035-a4f2-e30bff57f9ce.json
deleted file mode 100644
index 190155827..000000000
--- a/data/hfopenllm_v2/Quazim0t0/Ponder-14B-linear/30942374-a112-4035-a4f2-e30bff57f9ce.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Quazim0t0_Ponder-14B-linear/1762652579.8290088",
-  "retrieved_timestamp": "1762652579.8290088",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Quazim0t0/Ponder-14B-linear",
-    "developer": "Quazim0t0",
-    "inference_platform": "unknown",
-    "id": "Quazim0t0/Ponder-14B-linear",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 14.66
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6906064796960952
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6942602302118323
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4282477341389728
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.35822147651006714
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.45576041666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5408078457446809
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Quazim0t0/Ponder-14B-linear/b44224c3-ed2c-4120-9e2a-e6286358a4da.json b/data/hfopenllm_v2/Quazim0t0/Ponder-14B-linear/b44224c3-ed2c-4120-9e2a-e6286358a4da.json
new file mode 100644
index 000000000..e66c3086b
--- /dev/null
+++ b/data/hfopenllm_v2/Quazim0t0/Ponder-14B-linear/b44224c3-ed2c-4120-9e2a-e6286358a4da.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Quazim0t0_Ponder-14B-linear/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Ponder-14B-linear",
+    "id": "Quazim0t0/Ponder-14B-linear",
+    "developer": "Quazim0t0",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 14.66
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6906
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6943
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4282
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3582
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4558
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5408
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Quazim0t0/RZA-14B-sce/e8a8cf1f-5bcf-45ae-b590-fb04de06b77f.json b/data/hfopenllm_v2/Quazim0t0/RZA-14B-sce/e8a8cf1f-5bcf-45ae-b590-fb04de06b77f.json
deleted file mode 100644
index 1438e97c6..000000000
--- a/data/hfopenllm_v2/Quazim0t0/RZA-14B-sce/e8a8cf1f-5bcf-45ae-b590-fb04de06b77f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Quazim0t0_RZA-14B-sce/1762652579.829216",
-  "retrieved_timestamp": "1762652579.829216",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Quazim0t0/RZA-14B-sce",
-    "developer": "Quazim0t0",
-    "inference_platform": "unknown",
-    "id": "Quazim0t0/RZA-14B-sce",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 14.66
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4773578549360142
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6685829139021245
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5188821752265861
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2902684563758389
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41133333333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
-        "score": 0.538314494680851
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Quazim0t0/RZA-14B-sce/f7a2c9af-c55c-4307-bfef-1ca709525d82.json b/data/hfopenllm_v2/Quazim0t0/RZA-14B-sce/f7a2c9af-c55c-4307-bfef-1ca709525d82.json
new file mode 100644
index 000000000..eedf689a1
--- /dev/null
+++ b/data/hfopenllm_v2/Quazim0t0/RZA-14B-sce/f7a2c9af-c55c-4307-bfef-1ca709525d82.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Quazim0t0_RZA-14B-sce/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "RZA-14B-sce",
+    "id": "Quazim0t0/RZA-14B-sce",
+    "developer": "Quazim0t0",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 14.66
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4774
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6686
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5189
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2903
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4113
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5383
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Quazim0t0/Rosemary-14b/84018db9-2b85-4b6f-beff-b4930b230399.json b/data/hfopenllm_v2/Quazim0t0/Rosemary-14b/84018db9-2b85-4b6f-beff-b4930b230399.json
deleted file mode 100644
index 46ca09008..000000000
--- a/data/hfopenllm_v2/Quazim0t0/Rosemary-14b/84018db9-2b85-4b6f-beff-b4930b230399.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Quazim0t0_Rosemary-14b/1762652579.829469",
-  "retrieved_timestamp": "1762652579.82947",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Quazim0t0/Rosemary-14b",
-    "developer": "Quazim0t0",
-    "inference_platform": "unknown",
-    "id": "Quazim0t0/Rosemary-14b",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 14.66
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6915306941138402
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6955261478148286
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.438821752265861
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3565436241610738
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.44921875
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5396442819148937
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Quazim0t0/Rosemary-14b/d9655f35-edfd-4c53-b359-559870e8019e.json b/data/hfopenllm_v2/Quazim0t0/Rosemary-14b/d9655f35-edfd-4c53-b359-559870e8019e.json
new file mode 100644
index 000000000..38d6ae792
--- /dev/null
+++ b/data/hfopenllm_v2/Quazim0t0/Rosemary-14b/d9655f35-edfd-4c53-b359-559870e8019e.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Quazim0t0_Rosemary-14b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Rosemary-14b",
+    "id": "Quazim0t0/Rosemary-14b",
+    "developer": "Quazim0t0",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 14.66
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6915
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6955
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4388
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3565
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4492
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5396
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Quazim0t0/Rune-14b/3ed52eaf-6b73-46ab-8ae7-3afe120fe437.json b/data/hfopenllm_v2/Quazim0t0/Rune-14b/3ed52eaf-6b73-46ab-8ae7-3afe120fe437.json
deleted file mode 100644
index 1c947aac0..000000000
--- a/data/hfopenllm_v2/Quazim0t0/Rune-14b/3ed52eaf-6b73-46ab-8ae7-3afe120fe437.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Quazim0t0_Rune-14b/1762652579.829681",
-  "retrieved_timestamp": "1762652579.8296819",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Quazim0t0/Rune-14b",
-    "developer": "Quazim0t0",
-    "inference_platform": "unknown",
-    "id": "Quazim0t0/Rune-14b",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 14.66
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7015973173402128
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6937489642141156
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.45845921450151056
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.35151006711409394
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.45328125
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5411402925531915
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Quazim0t0/Rune-14b/afdd962d-652a-4395-92f7-c16dc874a779.json b/data/hfopenllm_v2/Quazim0t0/Rune-14b/afdd962d-652a-4395-92f7-c16dc874a779.json
new file mode 100644
index 000000000..b20f38d6e
--- /dev/null
+++ b/data/hfopenllm_v2/Quazim0t0/Rune-14b/afdd962d-652a-4395-92f7-c16dc874a779.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Quazim0t0_Rune-14b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Rune-14b",
+    "id": "Quazim0t0/Rune-14b",
+    "developer": "Quazim0t0",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 14.66
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7016
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6937
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4585
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3515
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4533
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5411
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Quazim0t0/SZA-14B-sce/2594e917-3ebd-428b-8f36-cb0da668695d.json b/data/hfopenllm_v2/Quazim0t0/SZA-14B-sce/2594e917-3ebd-428b-8f36-cb0da668695d.json
new file mode 100644
index 000000000..b8cc374a1
--- /dev/null
+++ b/data/hfopenllm_v2/Quazim0t0/SZA-14B-sce/2594e917-3ebd-428b-8f36-cb0da668695d.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Quazim0t0_SZA-14B-sce/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "SZA-14B-sce",
+    "id": "Quazim0t0/SZA-14B-sce",
+    "developer": "Quazim0t0",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 14.66
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5659
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6889
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5242
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3305
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4339
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5353
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Quazim0t0/SZA-14B-sce/6d983237-925e-4197-a592-17cca9219bda.json b/data/hfopenllm_v2/Quazim0t0/SZA-14B-sce/6d983237-925e-4197-a592-17cca9219bda.json
deleted file mode 100644
index 0613163c8..000000000
--- a/data/hfopenllm_v2/Quazim0t0/SZA-14B-sce/6d983237-925e-4197-a592-17cca9219bda.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Quazim0t0_SZA-14B-sce/1762652579.829889",
-  "retrieved_timestamp": "1762652579.82989",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Quazim0t0/SZA-14B-sce",
-    "developer": "Quazim0t0",
-    "inference_platform": "unknown",
-    "id": "Quazim0t0/SZA-14B-sce",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 14.66
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5659095644002359
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6888749072998727
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5241691842900302
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.33053691275167785
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-    },
-    {
-      "evaluation_name": "MUSR",
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-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.433875
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5353224734042553
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Quazim0t0/Sake-20b/25a672ed-3e0e-416f-abf4-a935e63171c6.json b/data/hfopenllm_v2/Quazim0t0/Sake-20b/25a672ed-3e0e-416f-abf4-a935e63171c6.json
deleted file mode 100644
index 6111b6eb6..000000000
--- a/data/hfopenllm_v2/Quazim0t0/Sake-20b/25a672ed-3e0e-416f-abf4-a935e63171c6.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Quazim0t0_Sake-20b/1762652579.830092",
-  "retrieved_timestamp": "1762652579.8300931",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Quazim0t0/Sake-20b",
-    "developer": "Quazim0t0",
-    "inference_platform": "unknown",
-    "id": "Quazim0t0/Sake-20b",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 21.475
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6769823539837527
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
-        "score": 0.4652567975830816
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3187919463087248
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.44940625
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5391456117021277
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Quazim0t0/Sake-20b/91a86644-ad96-4c66-8691-1c0b531b572c.json b/data/hfopenllm_v2/Quazim0t0/Sake-20b/91a86644-ad96-4c66-8691-1c0b531b572c.json
new file mode 100644
index 000000000..a8bf797b3
--- /dev/null
+++ b/data/hfopenllm_v2/Quazim0t0/Sake-20b/91a86644-ad96-4c66-8691-1c0b531b572c.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Quazim0t0_Sake-20b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Sake-20b",
+    "id": "Quazim0t0/Sake-20b",
+    "developer": "Quazim0t0",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 21.475
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6693
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.677
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4653
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3188
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4494
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5391
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Quazim0t0/Spok-14b-sce/331f56ce-5e45-46d8-9143-3f66be20b699.json b/data/hfopenllm_v2/Quazim0t0/Spok-14b-sce/331f56ce-5e45-46d8-9143-3f66be20b699.json
new file mode 100644
index 000000000..ee6d0d2f3
--- /dev/null
+++ b/data/hfopenllm_v2/Quazim0t0/Spok-14b-sce/331f56ce-5e45-46d8-9143-3f66be20b699.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Quazim0t0_Spok-14b-sce/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Spok-14b-sce",
+    "id": "Quazim0t0/Spok-14b-sce",
+    "developer": "Quazim0t0",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 14.66
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6682
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6899
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2719
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3456
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4141
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5298
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Quazim0t0/Spok-14b-sce/9f15293c-5668-4895-b4d0-4062cac344e7.json b/data/hfopenllm_v2/Quazim0t0/Spok-14b-sce/9f15293c-5668-4895-b4d0-4062cac344e7.json
deleted file mode 100644
index 078168fd6..000000000
--- a/data/hfopenllm_v2/Quazim0t0/Spok-14b-sce/9f15293c-5668-4895-b4d0-4062cac344e7.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Quazim0t0_Spok-14b-sce/1762652579.830291",
-  "retrieved_timestamp": "1762652579.830292",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
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-    "id": "Quazim0t0/Spok-14b-sce",
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-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-        "score_type": "continuous",
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-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-      "score_details": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-  ]
-}
diff --git a/data/hfopenllm_v2/Quazim0t0/Sumatra-20b/6138ebe0-8483-4cfb-8d95-b334bb09e831.json b/data/hfopenllm_v2/Quazim0t0/Sumatra-20b/6138ebe0-8483-4cfb-8d95-b334bb09e831.json
new file mode 100644
index 000000000..e73a1374c
--- /dev/null
+++ b/data/hfopenllm_v2/Quazim0t0/Sumatra-20b/6138ebe0-8483-4cfb-8d95-b334bb09e831.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Quazim0t0_Sumatra-20b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Sumatra-20b",
+    "id": "Quazim0t0/Sumatra-20b",
+    "developer": "Quazim0t0",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 21.475
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6738
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6855
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3263
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.456
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5415
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Quazim0t0/Sumatra-20b/ae69fb3f-19a1-4b00-9309-8685e107aeba.json b/data/hfopenllm_v2/Quazim0t0/Sumatra-20b/ae69fb3f-19a1-4b00-9309-8685e107aeba.json
deleted file mode 100644
index 00bacbb3a..000000000
--- a/data/hfopenllm_v2/Quazim0t0/Sumatra-20b/ae69fb3f-19a1-4b00-9309-8685e107aeba.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Quazim0t0_Sumatra-20b/1762652579.830487",
-  "retrieved_timestamp": "1762652579.830488",
-  "source_data": [
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-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Quazim0t0/Sumatra-20b",
-    "developer": "Quazim0t0",
-    "inference_platform": "unknown",
-    "id": "Quazim0t0/Sumatra-20b",
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-      "architecture": "LlamaForCausalLM",
-      "params_billions": 21.475
-    }
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-  "evaluation_results": [
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-      "evaluation_name": "IFEval",
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-        "score_type": "continuous",
-        "min_score": 0,
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-      },
-      "score_details": {
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-    {
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-        "lower_is_better": false,
-        "score_type": "continuous",
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-    {
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-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
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-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Quazim0t0/SuperNova14b/4d16dd47-42d1-4ea6-8f1b-dc50648bceab.json b/data/hfopenllm_v2/Quazim0t0/SuperNova14b/4d16dd47-42d1-4ea6-8f1b-dc50648bceab.json
new file mode 100644
index 000000000..ae0580d15
--- /dev/null
+++ b/data/hfopenllm_v2/Quazim0t0/SuperNova14b/4d16dd47-42d1-4ea6-8f1b-dc50648bceab.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Quazim0t0_SuperNova14b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "SuperNova14b",
+    "id": "Quazim0t0/SuperNova14b",
+    "developer": "Quazim0t0",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 14.66
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7076
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6937
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4396
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3523
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4545
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5435
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Quazim0t0/SuperNova14b/b0659361-fb53-40db-81a7-2a72771bbd1a.json b/data/hfopenllm_v2/Quazim0t0/SuperNova14b/b0659361-fb53-40db-81a7-2a72771bbd1a.json
deleted file mode 100644
index 0bc6c03f6..000000000
--- a/data/hfopenllm_v2/Quazim0t0/SuperNova14b/b0659361-fb53-40db-81a7-2a72771bbd1a.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/Quazim0t0_SuperNova14b/1762652579.830682",
-  "retrieved_timestamp": "1762652579.830683",
-  "source_data": [
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-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Quazim0t0/SuperNova14b",
-    "developer": "Quazim0t0",
-    "inference_platform": "unknown",
-    "id": "Quazim0t0/SuperNova14b",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 14.66
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.707642388861554
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-    },
-    {
-      "evaluation_name": "BBH",
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-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6937489642141156
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3523489932885906
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4545208333333333
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.543467420212766
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Quazim0t0/TB0-8B-sce/8f0da98a-cf9f-4cbb-8d4a-8c12d737580c.json b/data/hfopenllm_v2/Quazim0t0/TB0-8B-sce/8f0da98a-cf9f-4cbb-8d4a-8c12d737580c.json
deleted file mode 100644
index 8567e0701..000000000
--- a/data/hfopenllm_v2/Quazim0t0/TB0-8B-sce/8f0da98a-cf9f-4cbb-8d4a-8c12d737580c.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Quazim0t0_TB0-8B-sce/1762652579.8308768",
-  "retrieved_timestamp": "1762652579.8308768",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Quazim0t0/TB0-8B-sce",
-    "developer": "Quazim0t0",
-    "inference_platform": "unknown",
-    "id": "Quazim0t0/TB0-8B-sce",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
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-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-      },
-      "score_details": {
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-    {
-      "evaluation_name": "MATH Level 5",
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-        "score_type": "continuous",
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-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
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-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
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-        "lower_is_better": false,
-        "score_type": "continuous",
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-}
diff --git a/data/hfopenllm_v2/Quazim0t0/TB0-8B-sce/a6b0f2bf-08da-472f-b858-8be967a44cdc.json b/data/hfopenllm_v2/Quazim0t0/TB0-8B-sce/a6b0f2bf-08da-472f-b858-8be967a44cdc.json
new file mode 100644
index 000000000..3f9a2e43e
--- /dev/null
+++ b/data/hfopenllm_v2/Quazim0t0/TB0-8B-sce/a6b0f2bf-08da-472f-b858-8be967a44cdc.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Quazim0t0_TB0-8B-sce/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "TB0-8B-sce",
+    "id": "Quazim0t0/TB0-8B-sce",
+    "developer": "Quazim0t0",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5107
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5075
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1511
+      }
+    },
+    {
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+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3247
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4038
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3771
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Quazim0t0/TBL-8B-sce/4bff88c0-89fb-4d07-a83d-251c7aaeace4.json b/data/hfopenllm_v2/Quazim0t0/TBL-8B-sce/4bff88c0-89fb-4d07-a83d-251c7aaeace4.json
deleted file mode 100644
index 5b8aeef23..000000000
--- a/data/hfopenllm_v2/Quazim0t0/TBL-8B-sce/4bff88c0-89fb-4d07-a83d-251c7aaeace4.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Quazim0t0_TBL-8B-sce/1762652579.831074",
-  "retrieved_timestamp": "1762652579.831075",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Quazim0t0/TBL-8B-sce",
-    "developer": "Quazim0t0",
-    "inference_platform": "unknown",
-    "id": "Quazim0t0/TBL-8B-sce",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
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-        "lower_is_better": false,
-        "score_type": "continuous",
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Quazim0t0/TBL-8B-sce/57c7553d-f3e5-4a31-8c16-66aae570d8ec.json b/data/hfopenllm_v2/Quazim0t0/TBL-8B-sce/57c7553d-f3e5-4a31-8c16-66aae570d8ec.json
new file mode 100644
index 000000000..dbe71df0d
--- /dev/null
+++ b/data/hfopenllm_v2/Quazim0t0/TBL-8B-sce/57c7553d-f3e5-4a31-8c16-66aae570d8ec.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Quazim0t0_TBL-8B-sce/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "TBL-8B-sce",
+    "id": "Quazim0t0/TBL-8B-sce",
+    "developer": "Quazim0t0",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4581
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5008
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1533
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3339
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4236
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3689
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Quazim0t0/ThinkPhi1.1-Tensors/58c31bdd-f86f-4fbb-8549-191bb9f46f02.json b/data/hfopenllm_v2/Quazim0t0/ThinkPhi1.1-Tensors/58c31bdd-f86f-4fbb-8549-191bb9f46f02.json
new file mode 100644
index 000000000..2cd01867f
--- /dev/null
+++ b/data/hfopenllm_v2/Quazim0t0/ThinkPhi1.1-Tensors/58c31bdd-f86f-4fbb-8549-191bb9f46f02.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Quazim0t0_ThinkPhi1.1-Tensors/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "ThinkPhi1.1-Tensors",
+    "id": "Quazim0t0/ThinkPhi1.1-Tensors",
+    "developer": "Quazim0t0",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 14.66
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3908
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6449
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.182
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2987
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.418
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4908
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Quazim0t0/Venti-20b/2b97259b-d7a5-4934-b350-7b1322964899.json b/data/hfopenllm_v2/Quazim0t0/Venti-20b/2b97259b-d7a5-4934-b350-7b1322964899.json
deleted file mode 100644
index 7dd861b16..000000000
--- a/data/hfopenllm_v2/Quazim0t0/Venti-20b/2b97259b-d7a5-4934-b350-7b1322964899.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Quazim0t0_Venti-20b/1762652579.8314738",
-  "retrieved_timestamp": "1762652579.831475",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Quazim0t0/Venti-20b",
-    "developer": "Quazim0t0",
-    "inference_platform": "unknown",
-    "id": "Quazim0t0/Venti-20b",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 21.475
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6641034676879568
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6901240010129452
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
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-        "score": 0.3391238670694864
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.33221476510067116
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.44797916666666665
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-    },
-    {
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-      "metric_config": {
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diff --git a/data/hfopenllm_v2/Quazim0t0/Venti-20b/dd25c1dd-0edf-44ca-b18c-633dbd47368f.json b/data/hfopenllm_v2/Quazim0t0/Venti-20b/dd25c1dd-0edf-44ca-b18c-633dbd47368f.json
new file mode 100644
index 000000000..34f0d31fe
--- /dev/null
+++ b/data/hfopenllm_v2/Quazim0t0/Venti-20b/dd25c1dd-0edf-44ca-b18c-633dbd47368f.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Quazim0t0_Venti-20b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Venti-20b",
+    "id": "Quazim0t0/Venti-20b",
+    "developer": "Quazim0t0",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 21.475
+    }
+  },
+  "evaluation_results": [
+    {
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+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6641
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6901
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
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+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
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+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.448
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5386
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Quazim0t0/Venti-Blend-sce/2a030613-b5f7-4393-ac39-d2d072c913dc.json b/data/hfopenllm_v2/Quazim0t0/Venti-Blend-sce/2a030613-b5f7-4393-ac39-d2d072c913dc.json
new file mode 100644
index 000000000..2f424d5ab
--- /dev/null
+++ b/data/hfopenllm_v2/Quazim0t0/Venti-Blend-sce/2a030613-b5f7-4393-ac39-d2d072c913dc.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Quazim0t0_Venti-Blend-sce/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Venti-Blend-sce",
+    "id": "Quazim0t0/Venti-Blend-sce",
+    "developer": "Quazim0t0",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 21.475
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6879
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6843
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4056
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3163
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4389
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5414
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Quazim0t0/Venti-Blend-sce/e9fa96ff-d790-4948-9071-dd1376701fc1.json b/data/hfopenllm_v2/Quazim0t0/Venti-Blend-sce/e9fa96ff-d790-4948-9071-dd1376701fc1.json
deleted file mode 100644
index 54d15a697..000000000
--- a/data/hfopenllm_v2/Quazim0t0/Venti-Blend-sce/e9fa96ff-d790-4948-9071-dd1376701fc1.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Quazim0t0_Venti-Blend-sce/1762652579.831816",
-  "retrieved_timestamp": "1762652579.8318179",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Quazim0t0/Venti-Blend-sce",
-    "developer": "Quazim0t0",
-    "inference_platform": "unknown",
-    "id": "Quazim0t0/Venti-Blend-sce",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 21.475
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      }
-    },
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
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-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-    },
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-        "lower_is_better": false,
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-        "max_score": 1
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-    },
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
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-    }
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-}
diff --git a/data/hfopenllm_v2/Quazim0t0/Vine-14b-sce/70d25d8c-96e9-45e4-b0d1-684a89278064.json b/data/hfopenllm_v2/Quazim0t0/Vine-14b-sce/70d25d8c-96e9-45e4-b0d1-684a89278064.json
deleted file mode 100644
index 2f1de459c..000000000
--- a/data/hfopenllm_v2/Quazim0t0/Vine-14b-sce/70d25d8c-96e9-45e4-b0d1-684a89278064.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Quazim0t0_Vine-14b-sce/1762652579.8321972",
-  "retrieved_timestamp": "1762652579.832198",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Quazim0t0/Vine-14b-sce",
-    "developer": "Quazim0t0",
-    "inference_platform": "unknown",
-    "id": "Quazim0t0/Vine-14b-sce",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 14.66
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5007552870090635
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3338926174496644
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4322916666666667
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5408078457446809
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Quazim0t0/Vine-14b-sce/f8c73290-c400-4f1f-a00a-516592497b0d.json b/data/hfopenllm_v2/Quazim0t0/Vine-14b-sce/f8c73290-c400-4f1f-a00a-516592497b0d.json
new file mode 100644
index 000000000..947f1d53a
--- /dev/null
+++ b/data/hfopenllm_v2/Quazim0t0/Vine-14b-sce/f8c73290-c400-4f1f-a00a-516592497b0d.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Quazim0t0_Vine-14b-sce/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Vine-14b-sce",
+    "id": "Quazim0t0/Vine-14b-sce",
+    "developer": "Quazim0t0",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 14.66
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6733
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6891
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5008
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3339
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4323
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5408
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Quazim0t0/Wendy-14B/13e6cad7-a063-4530-bec9-e70e4e98ccc0.json b/data/hfopenllm_v2/Quazim0t0/Wendy-14B/13e6cad7-a063-4530-bec9-e70e4e98ccc0.json
deleted file mode 100644
index 758f99a01..000000000
--- a/data/hfopenllm_v2/Quazim0t0/Wendy-14B/13e6cad7-a063-4530-bec9-e70e4e98ccc0.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Quazim0t0_Wendy-14B/1762652579.832468",
-  "retrieved_timestamp": "1762652579.832469",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Quazim0t0/Wendy-14B",
-    "developer": "Quazim0t0",
-    "inference_platform": "unknown",
-    "id": "Quazim0t0/Wendy-14B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 14.66
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6772175605172055
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6957587467354328
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.48338368580060426
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.33221476510067116
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4428020833333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.543467420212766
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Quazim0t0/Wendy-14B/b31908fc-5e7e-45d6-835f-4e86a05b23fb.json b/data/hfopenllm_v2/Quazim0t0/Wendy-14B/b31908fc-5e7e-45d6-835f-4e86a05b23fb.json
new file mode 100644
index 000000000..385c8931d
--- /dev/null
+++ b/data/hfopenllm_v2/Quazim0t0/Wendy-14B/b31908fc-5e7e-45d6-835f-4e86a05b23fb.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Quazim0t0_Wendy-14B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Wendy-14B",
+    "id": "Quazim0t0/Wendy-14B",
+    "developer": "Quazim0t0",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 14.66
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6772
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6958
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4834
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3322
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4428
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5435
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Quazim0t0/Wu-14b-sce/35443539-9756-466b-a36f-66adc5f68ddb.json b/data/hfopenllm_v2/Quazim0t0/Wu-14b-sce/35443539-9756-466b-a36f-66adc5f68ddb.json
deleted file mode 100644
index e678c5d39..000000000
--- a/data/hfopenllm_v2/Quazim0t0/Wu-14b-sce/35443539-9756-466b-a36f-66adc5f68ddb.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/Quazim0t0_Wu-14b-sce/1762652579.832721",
-  "retrieved_timestamp": "1762652579.832722",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Quazim0t0/Wu-14b-sce",
-    "developer": "Quazim0t0",
-    "inference_platform": "unknown",
-    "id": "Quazim0t0/Wu-14b-sce",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 14.66
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6718218770639681
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6885164810743585
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.26132930513595165
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3464765100671141
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41142708333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5292553191489362
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Quazim0t0/Wu-14b-sce/4320cb98-7f9f-4510-bb88-448ce231bae8.json b/data/hfopenllm_v2/Quazim0t0/Wu-14b-sce/4320cb98-7f9f-4510-bb88-448ce231bae8.json
new file mode 100644
index 000000000..8fbcfb8f2
--- /dev/null
+++ b/data/hfopenllm_v2/Quazim0t0/Wu-14b-sce/4320cb98-7f9f-4510-bb88-448ce231bae8.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Quazim0t0_Wu-14b-sce/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Wu-14b-sce",
+    "id": "Quazim0t0/Wu-14b-sce",
+    "developer": "Quazim0t0",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 14.66
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6718
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6885
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2613
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3465
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4114
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5293
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Quazim0t0/bloom-14b-stock/1a2b4a76-0feb-4404-a1ef-0408c75f2ca7.json b/data/hfopenllm_v2/Quazim0t0/bloom-14b-stock/1a2b4a76-0feb-4404-a1ef-0408c75f2ca7.json
deleted file mode 100644
index da13f621a..000000000
--- a/data/hfopenllm_v2/Quazim0t0/bloom-14b-stock/1a2b4a76-0feb-4404-a1ef-0408c75f2ca7.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Quazim0t0_bloom-14b-stock/1762652579.8329449",
-  "retrieved_timestamp": "1762652579.8329458",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Quazim0t0/bloom-14b-stock",
-    "developer": "Quazim0t0",
-    "inference_platform": "unknown",
-    "id": "Quazim0t0/bloom-14b-stock",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 14.66
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6575087434673332
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6877869223612597
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4811178247734139
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3313758389261745
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.43095833333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5373171542553191
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Quazim0t0/bloom-14b-stock/28b986d1-2e67-4462-9165-6cb8f260b6c6.json b/data/hfopenllm_v2/Quazim0t0/bloom-14b-stock/28b986d1-2e67-4462-9165-6cb8f260b6c6.json
new file mode 100644
index 000000000..f549634bc
--- /dev/null
+++ b/data/hfopenllm_v2/Quazim0t0/bloom-14b-stock/28b986d1-2e67-4462-9165-6cb8f260b6c6.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Quazim0t0_bloom-14b-stock/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "bloom-14b-stock",
+    "id": "Quazim0t0/bloom-14b-stock",
+    "developer": "Quazim0t0",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 14.66
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6575
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6878
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4811
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3314
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.431
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5373
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Quazim0t0/caramel-14B/a9d4b6a9-33af-42a3-be29-d3214a171433.json b/data/hfopenllm_v2/Quazim0t0/caramel-14B/a9d4b6a9-33af-42a3-be29-d3214a171433.json
deleted file mode 100644
index 649f0ef48..000000000
--- a/data/hfopenllm_v2/Quazim0t0/caramel-14B/a9d4b6a9-33af-42a3-be29-d3214a171433.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Quazim0t0_caramel-14B/1762652579.833162",
-  "retrieved_timestamp": "1762652579.833163",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Quazim0t0/caramel-14B",
-    "developer": "Quazim0t0",
-    "inference_platform": "unknown",
-    "id": "Quazim0t0/caramel-14B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 14.66
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6744947849483814
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6918707471458787
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.47129909365558914
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3447986577181208
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.445375
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5435505319148937
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Quazim0t0/caramel-14B/fe1e21cb-7934-4022-a74a-777172310021.json b/data/hfopenllm_v2/Quazim0t0/caramel-14B/fe1e21cb-7934-4022-a74a-777172310021.json
new file mode 100644
index 000000000..fc8e481dc
--- /dev/null
+++ b/data/hfopenllm_v2/Quazim0t0/caramel-14B/fe1e21cb-7934-4022-a74a-777172310021.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Quazim0t0_caramel-14B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "caramel-14B",
+    "id": "Quazim0t0/caramel-14B",
+    "developer": "Quazim0t0",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 14.66
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6745
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6919
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4713
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3448
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4454
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5436
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Quazim0t0/graphite-14b-sce/90871638-b828-484d-8822-95ffceb20909.json b/data/hfopenllm_v2/Quazim0t0/graphite-14b-sce/90871638-b828-484d-8822-95ffceb20909.json
new file mode 100644
index 000000000..b45a1e117
--- /dev/null
+++ b/data/hfopenllm_v2/Quazim0t0/graphite-14b-sce/90871638-b828-484d-8822-95ffceb20909.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Quazim0t0_graphite-14b-sce/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "graphite-14b-sce",
+    "id": "Quazim0t0/graphite-14b-sce",
+    "developer": "Quazim0t0",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 14.66
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3217
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6631
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3006
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2894
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3981
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.528
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Quazim0t0/mocha-14B/04a98dfb-8e96-444c-8df4-ed7cf72a26ea.json b/data/hfopenllm_v2/Quazim0t0/mocha-14B/04a98dfb-8e96-444c-8df4-ed7cf72a26ea.json
new file mode 100644
index 000000000..c48422312
--- /dev/null
+++ b/data/hfopenllm_v2/Quazim0t0/mocha-14B/04a98dfb-8e96-444c-8df4-ed7cf72a26ea.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Quazim0t0_mocha-14B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "mocha-14B",
+    "id": "Quazim0t0/mocha-14B",
+    "developer": "Quazim0t0",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 14.66
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5893
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6895
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5264
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3305
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4272
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5384
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Quazim0t0/mocha-14B/5c04fa63-11be-42d8-8133-4e79e08e42ad.json b/data/hfopenllm_v2/Quazim0t0/mocha-14B/5c04fa63-11be-42d8-8133-4e79e08e42ad.json
deleted file mode 100644
index 13dd858c4..000000000
--- a/data/hfopenllm_v2/Quazim0t0/mocha-14B/5c04fa63-11be-42d8-8133-4e79e08e42ad.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Quazim0t0_mocha-14B/1762652579.833622",
-  "retrieved_timestamp": "1762652579.833623",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Quazim0t0/mocha-14B",
-    "developer": "Quazim0t0",
-    "inference_platform": "unknown",
-    "id": "Quazim0t0/mocha-14B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 14.66
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5893152391210876
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6894730595527842
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5264350453172205
-      }
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-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.33053691275167785
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4271770833333333
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5383976063829787
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Quazim0t0/mosaic-14b-sce/4fd82b3e-4b13-4e21-9253-6492f8b1feaa.json b/data/hfopenllm_v2/Quazim0t0/mosaic-14b-sce/4fd82b3e-4b13-4e21-9253-6492f8b1feaa.json
deleted file mode 100644
index f775c0aec..000000000
--- a/data/hfopenllm_v2/Quazim0t0/mosaic-14b-sce/4fd82b3e-4b13-4e21-9253-6492f8b1feaa.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Quazim0t0_mosaic-14b-sce/1762652579.8338351",
-  "retrieved_timestamp": "1762652579.833836",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Quazim0t0/mosaic-14b-sce",
-    "developer": "Quazim0t0",
-    "inference_platform": "unknown",
-    "id": "Quazim0t0/mosaic-14b-sce",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 14.66
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6875590100932193
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6907089244809823
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4025679758308157
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3624161073825503
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.45579166666666665
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5396442819148937
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Quazim0t0/mosaic-14b-sce/8c5c22af-f230-4d34-b80d-f42ef27e1675.json b/data/hfopenllm_v2/Quazim0t0/mosaic-14b-sce/8c5c22af-f230-4d34-b80d-f42ef27e1675.json
new file mode 100644
index 000000000..e02cc70c3
--- /dev/null
+++ b/data/hfopenllm_v2/Quazim0t0/mosaic-14b-sce/8c5c22af-f230-4d34-b80d-f42ef27e1675.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Quazim0t0_mosaic-14b-sce/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "mosaic-14b-sce",
+    "id": "Quazim0t0/mosaic-14b-sce",
+    "developer": "Quazim0t0",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 14.66
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6876
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6907
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4026
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3624
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4558
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5396
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Quazim0t0/tesseract-14b-stock/4311b63a-282b-4c16-8609-a1d4ab93ace9.json b/data/hfopenllm_v2/Quazim0t0/tesseract-14b-stock/4311b63a-282b-4c16-8609-a1d4ab93ace9.json
deleted file mode 100644
index ef213ac06..000000000
--- a/data/hfopenllm_v2/Quazim0t0/tesseract-14b-stock/4311b63a-282b-4c16-8609-a1d4ab93ace9.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Quazim0t0_tesseract-14b-stock/1762652579.834054",
-  "retrieved_timestamp": "1762652579.834055",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Quazim0t0/tesseract-14b-stock",
-    "developer": "Quazim0t0",
-    "inference_platform": "unknown",
-    "id": "Quazim0t0/tesseract-14b-stock",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 14.66
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5847939024011845
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6880007346047826
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5143504531722054
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3271812080536913
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42323958333333334
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5388962765957447
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Quazim0t0/tesseract-14b-stock/f3466a90-541b-4a08-a9c6-d5a79b2299b0.json b/data/hfopenllm_v2/Quazim0t0/tesseract-14b-stock/f3466a90-541b-4a08-a9c6-d5a79b2299b0.json
new file mode 100644
index 000000000..f5ff78824
--- /dev/null
+++ b/data/hfopenllm_v2/Quazim0t0/tesseract-14b-stock/f3466a90-541b-4a08-a9c6-d5a79b2299b0.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Quazim0t0_tesseract-14b-stock/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "tesseract-14b-stock",
+    "id": "Quazim0t0/tesseract-14b-stock",
+    "developer": "Quazim0t0",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 14.66
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5848
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.688
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5144
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3272
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4232
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5389
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Quazim0t0/time-14b-stock/2755da2c-8347-4bbd-80ee-c58e77a26f5e.json b/data/hfopenllm_v2/Quazim0t0/time-14b-stock/2755da2c-8347-4bbd-80ee-c58e77a26f5e.json
deleted file mode 100644
index 99304a7ef..000000000
--- a/data/hfopenllm_v2/Quazim0t0/time-14b-stock/2755da2c-8347-4bbd-80ee-c58e77a26f5e.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Quazim0t0_time-14b-stock/1762652579.834393",
-  "retrieved_timestamp": "1762652579.8343942",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Quazim0t0/time-14b-stock",
-    "developer": "Quazim0t0",
-    "inference_platform": "unknown",
-    "id": "Quazim0t0/time-14b-stock",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 14.66
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6699235805440675
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6897025970028126
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5083081570996979
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3347315436241611
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.43232291666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-}
diff --git a/data/hfopenllm_v2/Quazim0t0/time-14b-stock/ef9ee5ae-d92b-4143-af1b-d62a7c3c7fd4.json b/data/hfopenllm_v2/Quazim0t0/time-14b-stock/ef9ee5ae-d92b-4143-af1b-d62a7c3c7fd4.json
new file mode 100644
index 000000000..763d06ba9
--- /dev/null
+++ b/data/hfopenllm_v2/Quazim0t0/time-14b-stock/ef9ee5ae-d92b-4143-af1b-d62a7c3c7fd4.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Quazim0t0_time-14b-stock/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "time-14b-stock",
+    "id": "Quazim0t0/time-14b-stock",
+    "developer": "Quazim0t0",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 14.66
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6699
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6897
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5083
+      }
+    },
+    {
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+        "hf_repo": "Idavidrein/gpqa"
+      },
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+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+      }
+    },
+    {
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+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4323
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5419
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Qwen/QwQ-32B-Preview/859af708-ac37-4749-bc06-73d92338d1f5.json b/data/hfopenllm_v2/Qwen/QwQ-32B-Preview/859af708-ac37-4749-bc06-73d92338d1f5.json
new file mode 100644
index 000000000..9072fe047
--- /dev/null
+++ b/data/hfopenllm_v2/Qwen/QwQ-32B-Preview/859af708-ac37-4749-bc06-73d92338d1f5.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Qwen_QwQ-32B-Preview/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "QwQ-32B-Preview",
+    "id": "Qwen/QwQ-32B-Preview",
+    "developer": "Qwen",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 32.764
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4035
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6691
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
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+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2819
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.411
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5678
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Qwen/QwQ-32B/e274380d-e0f7-47c3-afc3-e603e6cecf9e.json b/data/hfopenllm_v2/Qwen/QwQ-32B/e274380d-e0f7-47c3-afc3-e603e6cecf9e.json
new file mode 100644
index 000000000..8a460b8de
--- /dev/null
+++ b/data/hfopenllm_v2/Qwen/QwQ-32B/e274380d-e0f7-47c3-afc3-e603e6cecf9e.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Qwen_QwQ-32B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "QwQ-32B",
+    "id": "Qwen/QwQ-32B",
+    "developer": "Qwen",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 32.764
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3977
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2983
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1609
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2601
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4206
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+        "score": 0.1196
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Qwen/Qwen1.5-0.5B-Chat/19810be8-ea81-4db5-9854-1830b05a5732.json b/data/hfopenllm_v2/Qwen/Qwen1.5-0.5B-Chat/19810be8-ea81-4db5-9854-1830b05a5732.json
new file mode 100644
index 000000000..d12f434fb
--- /dev/null
+++ b/data/hfopenllm_v2/Qwen/Qwen1.5-0.5B-Chat/19810be8-ea81-4db5-9854-1830b05a5732.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Qwen_Qwen1.5-0.5B-Chat/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen1.5-0.5B-Chat",
+    "id": "Qwen/Qwen1.5-0.5B-Chat",
+    "developer": "Qwen",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 0.62
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1807
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3167
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0068
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2693
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3837
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1213
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Qwen/Qwen1.5-0.5B-Chat/96baee1a-7ea7-454f-ac8b-fe1bead3cd93.json b/data/hfopenllm_v2/Qwen/Qwen1.5-0.5B-Chat/96baee1a-7ea7-454f-ac8b-fe1bead3cd93.json
deleted file mode 100644
index fa14ed5ef..000000000
--- a/data/hfopenllm_v2/Qwen/Qwen1.5-0.5B-Chat/96baee1a-7ea7-454f-ac8b-fe1bead3cd93.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Qwen_Qwen1.5-0.5B-Chat/1762652579.835679",
-  "retrieved_timestamp": "1762652579.83568",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Qwen/Qwen1.5-0.5B-Chat",
-    "developer": "Qwen",
-    "inference_platform": "unknown",
-    "id": "Qwen/Qwen1.5-0.5B-Chat",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 0.62
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.18072713732895385
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3166662152036714
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.006797583081570997
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.26929530201342283
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3837083333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.12125997340425532
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Qwen/Qwen1.5-0.5B/1258c282-3672-4b42-9d4d-117568e17bf5.json b/data/hfopenllm_v2/Qwen/Qwen1.5-0.5B/1258c282-3672-4b42-9d4d-117568e17bf5.json
new file mode 100644
index 000000000..b3a7d8e15
--- /dev/null
+++ b/data/hfopenllm_v2/Qwen/Qwen1.5-0.5B/1258c282-3672-4b42-9d4d-117568e17bf5.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Qwen_Qwen1.5-0.5B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen1.5-0.5B",
+    "id": "Qwen/Qwen1.5-0.5B",
+    "developer": "Qwen",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 0.62
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1706
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3154
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0174
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2542
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3616
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1307
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Qwen/Qwen1.5-1.8B-Chat/9b9f6e01-238e-4893-b398-4e1c83c44dfa.json b/data/hfopenllm_v2/Qwen/Qwen1.5-1.8B-Chat/9b9f6e01-238e-4893-b398-4e1c83c44dfa.json
new file mode 100644
index 000000000..5d7e32fc8
--- /dev/null
+++ b/data/hfopenllm_v2/Qwen/Qwen1.5-1.8B-Chat/9b9f6e01-238e-4893-b398-4e1c83c44dfa.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Qwen_Qwen1.5-1.8B-Chat/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen1.5-1.8B-Chat",
+    "id": "Qwen/Qwen1.5-1.8B-Chat",
+    "developer": "Qwen",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 1.837
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2019
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3256
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0196
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2978
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.426
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1804
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Qwen/Qwen1.5-1.8B-Chat/d6107bde-875e-40f6-8471-3a3507758910.json b/data/hfopenllm_v2/Qwen/Qwen1.5-1.8B-Chat/d6107bde-875e-40f6-8471-3a3507758910.json
deleted file mode 100644
index 7656eef3d..000000000
--- a/data/hfopenllm_v2/Qwen/Qwen1.5-1.8B-Chat/d6107bde-875e-40f6-8471-3a3507758910.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Qwen_Qwen1.5-1.8B-Chat/1762652579.836214",
-  "retrieved_timestamp": "1762652579.836215",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Qwen/Qwen1.5-1.8B-Chat",
-    "developer": "Qwen",
-    "inference_platform": "unknown",
-    "id": "Qwen/Qwen1.5-1.8B-Chat",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 1.837
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.20190982149585324
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3255912875735599
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.019637462235649546
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2978187919463087
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42596875
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.18035239361702127
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Qwen/Qwen1.5-1.8B/b267621b-dbba-4c4a-bb9f-fa85734d0f59.json b/data/hfopenllm_v2/Qwen/Qwen1.5-1.8B/b267621b-dbba-4c4a-bb9f-fa85734d0f59.json
new file mode 100644
index 000000000..c4b4b7c05
--- /dev/null
+++ b/data/hfopenllm_v2/Qwen/Qwen1.5-1.8B/b267621b-dbba-4c4a-bb9f-fa85734d0f59.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Qwen_Qwen1.5-1.8B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen1.5-1.8B",
+    "id": "Qwen/Qwen1.5-1.8B",
+    "developer": "Qwen",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 1.837
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2154
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3476
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0317
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3054
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3605
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1882
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Qwen/Qwen1.5-110B-Chat/7cfcae3d-b623-4cf0-9ac8-529db46d05e6.json b/data/hfopenllm_v2/Qwen/Qwen1.5-110B-Chat/7cfcae3d-b623-4cf0-9ac8-529db46d05e6.json
deleted file mode 100644
index 75c87568a..000000000
--- a/data/hfopenllm_v2/Qwen/Qwen1.5-110B-Chat/7cfcae3d-b623-4cf0-9ac8-529db46d05e6.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Qwen_Qwen1.5-110B-Chat/1762652579.836649",
-  "retrieved_timestamp": "1762652579.836649",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Qwen/Qwen1.5-110B-Chat",
-    "developer": "Qwen",
-    "inference_platform": "unknown",
-    "id": "Qwen/Qwen1.5-110B-Chat",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 111.21
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5938864435254014
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6183800385588633
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.23413897280966767
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3414429530201342
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.45216666666666666
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.48246343085106386
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Qwen/Qwen1.5-110B-Chat/a7e4e787-8e95-48a0-9d50-53ba9f05cd1c.json b/data/hfopenllm_v2/Qwen/Qwen1.5-110B-Chat/a7e4e787-8e95-48a0-9d50-53ba9f05cd1c.json
new file mode 100644
index 000000000..1539af866
--- /dev/null
+++ b/data/hfopenllm_v2/Qwen/Qwen1.5-110B-Chat/a7e4e787-8e95-48a0-9d50-53ba9f05cd1c.json
@@ -0,0 +1,132 @@
+{
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+  "evaluation_id": "hfopenllm_v2/Qwen_Qwen1.5-110B-Chat/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen1.5-110B-Chat",
+    "id": "Qwen/Qwen1.5-110B-Chat",
+    "developer": "Qwen",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 111.21
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5939
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6184
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3414
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4825
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Qwen/Qwen1.5-110B/3d39dcab-55df-4ad3-bdc8-03ae684e4390.json b/data/hfopenllm_v2/Qwen/Qwen1.5-110B/3d39dcab-55df-4ad3-bdc8-03ae684e4390.json
new file mode 100644
index 000000000..3d0d4bcdf
--- /dev/null
+++ b/data/hfopenllm_v2/Qwen/Qwen1.5-110B/3d39dcab-55df-4ad3-bdc8-03ae684e4390.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Qwen_Qwen1.5-110B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen1.5-110B",
+    "id": "Qwen/Qwen1.5-110B",
+    "developer": "Qwen",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 111.21
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3422
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.61
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.247
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+    },
+    {
+      "evaluation_name": "GPQA",
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3523
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4408
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5361
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Qwen/Qwen1.5-14B-Chat/1b499881-9edb-4626-a919-977393d6bef1.json b/data/hfopenllm_v2/Qwen/Qwen1.5-14B-Chat/1b499881-9edb-4626-a919-977393d6bef1.json
new file mode 100644
index 000000000..c47867900
--- /dev/null
+++ b/data/hfopenllm_v2/Qwen/Qwen1.5-14B-Chat/1b499881-9edb-4626-a919-977393d6bef1.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Qwen_Qwen1.5-14B-Chat/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen1.5-14B-Chat",
+    "id": "Qwen/Qwen1.5-14B-Chat",
+    "developer": "Qwen",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.167
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5229
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3618
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Qwen/Qwen1.5-14B-Chat/e2cdcc99-a1b6-43ee-9cda-2e7ccbd0ad8d.json b/data/hfopenllm_v2/Qwen/Qwen1.5-14B-Chat/e2cdcc99-a1b6-43ee-9cda-2e7ccbd0ad8d.json
deleted file mode 100644
index be6389ed5..000000000
--- a/data/hfopenllm_v2/Qwen/Qwen1.5-14B-Chat/e2cdcc99-a1b6-43ee-9cda-2e7ccbd0ad8d.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/Qwen_Qwen1.5-14B-Chat/1762652579.837058",
-  "retrieved_timestamp": "1762652579.837059",
-  "source_data": [
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-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Qwen/Qwen1.5-14B-Chat",
-    "developer": "Qwen",
-    "inference_platform": "unknown",
-    "id": "Qwen/Qwen1.5-14B-Chat",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 14.167
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.47680820223673187
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5228587510703555
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.15256797583081572
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2701342281879195
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.43997916666666664
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.36178523936170215
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Qwen/Qwen1.5-14B/84b8970c-6c29-4ee1-93b8-c97e4a7c4950.json b/data/hfopenllm_v2/Qwen/Qwen1.5-14B/84b8970c-6c29-4ee1-93b8-c97e4a7c4950.json
new file mode 100644
index 000000000..d12634623
--- /dev/null
+++ b/data/hfopenllm_v2/Qwen/Qwen1.5-14B/84b8970c-6c29-4ee1-93b8-c97e4a7c4950.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Qwen_Qwen1.5-14B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen1.5-14B",
+    "id": "Qwen/Qwen1.5-14B",
+    "developer": "Qwen",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.167
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2905
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.508
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+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2024
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+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2945
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4186
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3644
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Qwen/Qwen1.5-32B-Chat/2e070663-2622-4a8e-bd39-7f0ef9df399e.json b/data/hfopenllm_v2/Qwen/Qwen1.5-32B-Chat/2e070663-2622-4a8e-bd39-7f0ef9df399e.json
new file mode 100644
index 000000000..695a36dcd
--- /dev/null
+++ b/data/hfopenllm_v2/Qwen/Qwen1.5-32B-Chat/2e070663-2622-4a8e-bd39-7f0ef9df399e.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Qwen_Qwen1.5-32B-Chat/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen1.5-32B-Chat",
+    "id": "Qwen/Qwen1.5-32B-Chat",
+    "developer": "Qwen",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 32.512
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5532
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6067
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1956
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3062
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.416
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4457
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Qwen/Qwen1.5-32B-Chat/c14a0d32-1d27-4596-90d4-10a793aef9a2.json b/data/hfopenllm_v2/Qwen/Qwen1.5-32B-Chat/c14a0d32-1d27-4596-90d4-10a793aef9a2.json
deleted file mode 100644
index 7258b54ff..000000000
--- a/data/hfopenllm_v2/Qwen/Qwen1.5-32B-Chat/c14a0d32-1d27-4596-90d4-10a793aef9a2.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Qwen_Qwen1.5-32B-Chat/1762652579.8374798",
-  "retrieved_timestamp": "1762652579.8374798",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Qwen/Qwen1.5-32B-Chat",
-    "developer": "Qwen",
-    "inference_platform": "unknown",
-    "id": "Qwen/Qwen1.5-32B-Chat",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 32.512
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5532199009738605
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6066899757930234
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.19561933534743203
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3062080536912752
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4159791666666666
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4457280585106383
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Qwen/Qwen1.5-32B/047fa91e-2dc7-4881-8254-3dfbd4a2ff1b.json b/data/hfopenllm_v2/Qwen/Qwen1.5-32B/047fa91e-2dc7-4881-8254-3dfbd4a2ff1b.json
new file mode 100644
index 000000000..ff8b2ab29
--- /dev/null
+++ b/data/hfopenllm_v2/Qwen/Qwen1.5-32B/047fa91e-2dc7-4881-8254-3dfbd4a2ff1b.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Qwen_Qwen1.5-32B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen1.5-32B",
+    "id": "Qwen/Qwen1.5-32B",
+    "developer": "Qwen",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 32.512
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3297
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5715
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3029
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3297
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4278
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.45
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Qwen/Qwen1.5-4B-Chat/6d73016e-078e-4ffe-b2ae-5b829d1456df.json b/data/hfopenllm_v2/Qwen/Qwen1.5-4B-Chat/6d73016e-078e-4ffe-b2ae-5b829d1456df.json
new file mode 100644
index 000000000..3d23aaf52
--- /dev/null
+++ b/data/hfopenllm_v2/Qwen/Qwen1.5-4B-Chat/6d73016e-078e-4ffe-b2ae-5b829d1456df.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Qwen_Qwen1.5-4B-Chat/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen1.5-4B-Chat",
+    "id": "Qwen/Qwen1.5-4B-Chat",
+    "developer": "Qwen",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 3.95
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3157
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4006
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0279
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2668
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3978
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2396
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Qwen/Qwen1.5-4B-Chat/e3417d3e-7883-45a7-a631-9e5d105788c4.json b/data/hfopenllm_v2/Qwen/Qwen1.5-4B-Chat/e3417d3e-7883-45a7-a631-9e5d105788c4.json
deleted file mode 100644
index 8d6a30570..000000000
--- a/data/hfopenllm_v2/Qwen/Qwen1.5-4B-Chat/e3417d3e-7883-45a7-a631-9e5d105788c4.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Qwen_Qwen1.5-4B-Chat/1762652579.837912",
-  "retrieved_timestamp": "1762652579.837912",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Qwen/Qwen1.5-4B-Chat",
-    "developer": "Qwen",
-    "inference_platform": "unknown",
-    "id": "Qwen/Qwen1.5-4B-Chat",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 3.95
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.31566576683200576
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.40055485611486114
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.027945619335347432
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.26677852348993286
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.39778125
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.23961103723404256
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Qwen/Qwen1.5-4B/0b68b5bd-d22c-4194-9ddf-f22e9181f84d.json b/data/hfopenllm_v2/Qwen/Qwen1.5-4B/0b68b5bd-d22c-4194-9ddf-f22e9181f84d.json
new file mode 100644
index 000000000..b317e8f1c
--- /dev/null
+++ b/data/hfopenllm_v2/Qwen/Qwen1.5-4B/0b68b5bd-d22c-4194-9ddf-f22e9181f84d.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Qwen_Qwen1.5-4B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
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+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen1.5-4B",
+    "id": "Qwen/Qwen1.5-4B",
+    "developer": "Qwen",
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+    }
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
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+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2445
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "max_score": 1.0
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
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+        "score_type": "continuous",
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+      "score_details": {
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+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
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+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Qwen/Qwen1.5-7B-Chat/03d51d90-fd15-42b7-ad5f-c7326cc642a7.json b/data/hfopenllm_v2/Qwen/Qwen1.5-7B-Chat/03d51d90-fd15-42b7-ad5f-c7326cc642a7.json
new file mode 100644
index 000000000..7865c5891
--- /dev/null
+++ b/data/hfopenllm_v2/Qwen/Qwen1.5-7B-Chat/03d51d90-fd15-42b7-ad5f-c7326cc642a7.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Qwen_Qwen1.5-7B-Chat/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen1.5-7B-Chat",
+    "id": "Qwen/Qwen1.5-7B-Chat",
+    "developer": "Qwen",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.721
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+      "score_details": {
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+      }
+    },
+    {
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+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.451
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+    {
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
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+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2951
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Qwen/Qwen1.5-7B-Chat/42e3c9e4-bf1a-43ae-87e7-056f735abe03.json b/data/hfopenllm_v2/Qwen/Qwen1.5-7B-Chat/42e3c9e4-bf1a-43ae-87e7-056f735abe03.json
deleted file mode 100644
index 6b4c2212e..000000000
--- a/data/hfopenllm_v2/Qwen/Qwen1.5-7B-Chat/42e3c9e4-bf1a-43ae-87e7-056f735abe03.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/Qwen_Qwen1.5-7B-Chat/1762652579.838321",
-  "retrieved_timestamp": "1762652579.838322",
-  "source_data": [
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-  "source_metadata": {
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Qwen/Qwen1.5-7B-Chat",
-    "developer": "Qwen",
-    "inference_platform": "unknown",
-    "id": "Qwen/Qwen1.5-7B-Chat",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.721
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-      }
-    },
-    {
-      "evaluation_name": "BBH",
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-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-      "score_details": {
-        "score": 0.06268882175226587
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
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-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3028523489932886
-      }
-    },
-    {
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-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37790624999999994
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Qwen/Qwen1.5-7B/d3e5c939-c53a-49d6-80cd-34420dbb176a.json b/data/hfopenllm_v2/Qwen/Qwen1.5-7B/d3e5c939-c53a-49d6-80cd-34420dbb176a.json
new file mode 100644
index 000000000..29ccd9046
--- /dev/null
+++ b/data/hfopenllm_v2/Qwen/Qwen1.5-7B/d3e5c939-c53a-49d6-80cd-34420dbb176a.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Qwen_Qwen1.5-7B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen1.5-7B",
+    "id": "Qwen/Qwen1.5-7B",
+    "developer": "Qwen",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.721
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2684
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.456
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0929
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2987
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4103
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2916
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Qwen/Qwen1.5-MoE-A2.7B-Chat/ab321358-26f9-4577-a5fb-1f5d4b8784b4.json b/data/hfopenllm_v2/Qwen/Qwen1.5-MoE-A2.7B-Chat/ab321358-26f9-4577-a5fb-1f5d4b8784b4.json
new file mode 100644
index 000000000..c414d02d4
--- /dev/null
+++ b/data/hfopenllm_v2/Qwen/Qwen1.5-MoE-A2.7B-Chat/ab321358-26f9-4577-a5fb-1f5d4b8784b4.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Qwen_Qwen1.5-MoE-A2.7B-Chat/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen1.5-MoE-A2.7B-Chat",
+    "id": "Qwen/Qwen1.5-MoE-A2.7B-Chat",
+    "developer": "Qwen",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2MoeForCausalLM",
+      "params_billions": 14.316
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3795
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4272
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0634
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2743
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3899
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2923
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Qwen/Qwen1.5-MoE-A2.7B-Chat/daec0873-964e-459e-a1a1-49da96cd17cf.json b/data/hfopenllm_v2/Qwen/Qwen1.5-MoE-A2.7B-Chat/daec0873-964e-459e-a1a1-49da96cd17cf.json
deleted file mode 100644
index 12cc958b5..000000000
--- a/data/hfopenllm_v2/Qwen/Qwen1.5-MoE-A2.7B-Chat/daec0873-964e-459e-a1a1-49da96cd17cf.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Qwen_Qwen1.5-MoE-A2.7B-Chat/1762652579.838758",
-  "retrieved_timestamp": "1762652579.838758",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Qwen/Qwen1.5-MoE-A2.7B-Chat",
-    "developer": "Qwen",
-    "inference_platform": "unknown",
-    "id": "Qwen/Qwen1.5-MoE-A2.7B-Chat",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2MoeForCausalLM",
-      "params_billions": 14.316
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37953851336675576
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4272088620635824
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.0634441087613293
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.27432885906040266
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.38987499999999997
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.29230385638297873
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Qwen/Qwen1.5-MoE-A2.7B/a43aae68-f12c-4a6d-b846-c498cf35f6cd.json b/data/hfopenllm_v2/Qwen/Qwen1.5-MoE-A2.7B/a43aae68-f12c-4a6d-b846-c498cf35f6cd.json
new file mode 100644
index 000000000..07658bbfa
--- /dev/null
+++ b/data/hfopenllm_v2/Qwen/Qwen1.5-MoE-A2.7B/a43aae68-f12c-4a6d-b846-c498cf35f6cd.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Qwen_Qwen1.5-MoE-A2.7B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen1.5-MoE-A2.7B",
+    "id": "Qwen/Qwen1.5-MoE-A2.7B",
+    "developer": "Qwen",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2MoeForCausalLM",
+      "params_billions": 14.316
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.266
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4114
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0929
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2592
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4013
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2778
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Qwen/Qwen2-0.5B-Instruct/6986e9f0-d008-4418-b3cb-1e870cf57e02.json b/data/hfopenllm_v2/Qwen/Qwen2-0.5B-Instruct/6986e9f0-d008-4418-b3cb-1e870cf57e02.json
deleted file mode 100644
index dbdbf724b..000000000
--- a/data/hfopenllm_v2/Qwen/Qwen2-0.5B-Instruct/6986e9f0-d008-4418-b3cb-1e870cf57e02.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Qwen_Qwen2-0.5B-Instruct/1762652579.839177",
-  "retrieved_timestamp": "1762652579.839178",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Qwen/Qwen2-0.5B-Instruct",
-    "developer": "Qwen",
-    "inference_platform": "unknown",
-    "id": "Qwen/Qwen2-0.5B-Instruct",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 0.494
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.22466610814860127
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.31725179384863494
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.028700906344410877
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.24664429530201343
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.33527083333333335
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.15309175531914893
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Qwen/Qwen2-0.5B-Instruct/b84615c0-43c4-49ec-83fe-5d3f8e6026af.json b/data/hfopenllm_v2/Qwen/Qwen2-0.5B-Instruct/b84615c0-43c4-49ec-83fe-5d3f8e6026af.json
new file mode 100644
index 000000000..d6e75e508
--- /dev/null
+++ b/data/hfopenllm_v2/Qwen/Qwen2-0.5B-Instruct/b84615c0-43c4-49ec-83fe-5d3f8e6026af.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Qwen_Qwen2-0.5B-Instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2-0.5B-Instruct",
+    "id": "Qwen/Qwen2-0.5B-Instruct",
+    "developer": "Qwen",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 0.494
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2247
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3173
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0287
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2466
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3353
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1531
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Qwen/Qwen2-0.5B/7e687d24-9e12-4ecf-b283-e222efb9473a.json b/data/hfopenllm_v2/Qwen/Qwen2-0.5B/7e687d24-9e12-4ecf-b283-e222efb9473a.json
new file mode 100644
index 000000000..164002250
--- /dev/null
+++ b/data/hfopenllm_v2/Qwen/Qwen2-0.5B/7e687d24-9e12-4ecf-b283-e222efb9473a.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Qwen_Qwen2-0.5B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2-0.5B",
+    "id": "Qwen/Qwen2-0.5B",
+    "developer": "Qwen",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 0.494
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1873
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3239
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0264
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2609
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3752
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.172
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Qwen/Qwen2-1.5B-Instruct/4aea143c-28fd-48bb-b911-37ac3fe58220.json b/data/hfopenllm_v2/Qwen/Qwen2-1.5B-Instruct/4aea143c-28fd-48bb-b911-37ac3fe58220.json
new file mode 100644
index 000000000..29c2d61f9
--- /dev/null
+++ b/data/hfopenllm_v2/Qwen/Qwen2-1.5B-Instruct/4aea143c-28fd-48bb-b911-37ac3fe58220.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Qwen_Qwen2-1.5B-Instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2-1.5B-Instruct",
+    "id": "Qwen/Qwen2-1.5B-Instruct",
+    "developer": "Qwen",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 1.544
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3371
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3852
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0718
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2617
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4293
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2501
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Qwen/Qwen2-1.5B-Instruct/984029c7-f957-4555-8460-dfecd99f44a1.json b/data/hfopenllm_v2/Qwen/Qwen2-1.5B-Instruct/984029c7-f957-4555-8460-dfecd99f44a1.json
deleted file mode 100644
index a2488f310..000000000
--- a/data/hfopenllm_v2/Qwen/Qwen2-1.5B-Instruct/984029c7-f957-4555-8460-dfecd99f44a1.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Qwen_Qwen2-1.5B-Instruct/1762652579.839607",
-  "retrieved_timestamp": "1762652579.839607",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Qwen/Qwen2-1.5B-Instruct",
-    "developer": "Qwen",
-    "inference_platform": "unknown",
-    "id": "Qwen/Qwen2-1.5B-Instruct",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 1.544
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3371232773485463
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3852232408376059
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.07175226586102719
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.26174496644295303
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42928125
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.25008311170212766
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Qwen/Qwen2-1.5B/34a8daec-bfff-4cf4-9011-0542b30c1d10.json b/data/hfopenllm_v2/Qwen/Qwen2-1.5B/34a8daec-bfff-4cf4-9011-0542b30c1d10.json
new file mode 100644
index 000000000..290263529
--- /dev/null
+++ b/data/hfopenllm_v2/Qwen/Qwen2-1.5B/34a8daec-bfff-4cf4-9011-0542b30c1d10.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Qwen_Qwen2-1.5B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2-1.5B",
+    "id": "Qwen/Qwen2-1.5B",
+    "developer": "Qwen",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 1.544
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2113
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3575
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0702
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2643
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3658
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2552
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Qwen/Qwen2-57B-A14B-Instruct/3e919d7b-53db-41fb-ac93-224e2768b9c6.json b/data/hfopenllm_v2/Qwen/Qwen2-57B-A14B-Instruct/3e919d7b-53db-41fb-ac93-224e2768b9c6.json
new file mode 100644
index 000000000..c5c5b3781
--- /dev/null
+++ b/data/hfopenllm_v2/Qwen/Qwen2-57B-A14B-Instruct/3e919d7b-53db-41fb-ac93-224e2768b9c6.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Qwen_Qwen2-57B-A14B-Instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2-57B-A14B-Instruct",
+    "id": "Qwen/Qwen2-57B-A14B-Instruct",
+    "developer": "Qwen",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2MoeForCausalLM",
+      "params_billions": 57.409
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6338
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5888
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2817
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3314
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4361
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4575
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Qwen/Qwen2-57B-A14B-Instruct/50496313-dc6c-4456-8a8c-15cd8ddbb480.json b/data/hfopenllm_v2/Qwen/Qwen2-57B-A14B-Instruct/50496313-dc6c-4456-8a8c-15cd8ddbb480.json
deleted file mode 100644
index 6c57f1dcd..000000000
--- a/data/hfopenllm_v2/Qwen/Qwen2-57B-A14B-Instruct/50496313-dc6c-4456-8a8c-15cd8ddbb480.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Qwen_Qwen2-57B-A14B-Instruct/1762652579.84003",
-  "retrieved_timestamp": "1762652579.840031",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Qwen/Qwen2-57B-A14B-Instruct",
-    "developer": "Qwen",
-    "inference_platform": "unknown",
-    "id": "Qwen/Qwen2-57B-A14B-Instruct",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2MoeForCausalLM",
-      "params_billions": 57.409
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6337783747124297
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5887606963532052
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.28172205438066467
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3313758389261745
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.43613541666666666
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.45752992021276595
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Qwen/Qwen2-57B-A14B/66becca1-d92b-409f-ab56-44d05cac66fd.json b/data/hfopenllm_v2/Qwen/Qwen2-57B-A14B/66becca1-d92b-409f-ab56-44d05cac66fd.json
new file mode 100644
index 000000000..b8c0fe259
--- /dev/null
+++ b/data/hfopenllm_v2/Qwen/Qwen2-57B-A14B/66becca1-d92b-409f-ab56-44d05cac66fd.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Qwen_Qwen2-57B-A14B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2-57B-A14B",
+    "id": "Qwen/Qwen2-57B-A14B",
+    "developer": "Qwen",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2MoeForCausalLM",
+      "params_billions": 57.409
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3113
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5618
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1866
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3062
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4174
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4916
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Qwen/Qwen2-72B-Instruct/6293b269-7c4c-44da-bd85-e51954c173a1.json b/data/hfopenllm_v2/Qwen/Qwen2-72B-Instruct/6293b269-7c4c-44da-bd85-e51954c173a1.json
new file mode 100644
index 000000000..f6edd8027
--- /dev/null
+++ b/data/hfopenllm_v2/Qwen/Qwen2-72B-Instruct/6293b269-7c4c-44da-bd85-e51954c173a1.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Qwen_Qwen2-72B-Instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2-72B-Instruct",
+    "id": "Qwen/Qwen2-72B-Instruct",
+    "developer": "Qwen",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 72.706
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7989
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6977
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4177
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3725
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.456
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5403
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Qwen/Qwen2-72B-Instruct/d9ae7c35-ac71-4703-9cfe-bf5fb5aa688e.json b/data/hfopenllm_v2/Qwen/Qwen2-72B-Instruct/d9ae7c35-ac71-4703-9cfe-bf5fb5aa688e.json
deleted file mode 100644
index e2a352050..000000000
--- a/data/hfopenllm_v2/Qwen/Qwen2-72B-Instruct/d9ae7c35-ac71-4703-9cfe-bf5fb5aa688e.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Qwen_Qwen2-72B-Instruct/1762652579.840446",
-  "retrieved_timestamp": "1762652579.840447",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Qwen/Qwen2-72B-Instruct",
-    "developer": "Qwen",
-    "inference_platform": "unknown",
-    "id": "Qwen/Qwen2-72B-Instruct",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 72.706
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7989168738945996
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.697730968386067
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4176737160120846
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3724832214765101
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4560104166666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5403091755319149
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Qwen/Qwen2-72B/add3b058-e7bc-4b7b-bb98-0d7039979072.json b/data/hfopenllm_v2/Qwen/Qwen2-72B/add3b058-e7bc-4b7b-bb98-0d7039979072.json
new file mode 100644
index 000000000..fbfd29d40
--- /dev/null
+++ b/data/hfopenllm_v2/Qwen/Qwen2-72B/add3b058-e7bc-4b7b-bb98-0d7039979072.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Qwen_Qwen2-72B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2-72B",
+    "id": "Qwen/Qwen2-72B",
+    "developer": "Qwen",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 72.706
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3824
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6617
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3112
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3943
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4704
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5731
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Qwen/Qwen2-7B-Instruct/3e1ebb01-6fbb-498c-af58-022f50247ec9.json b/data/hfopenllm_v2/Qwen/Qwen2-7B-Instruct/3e1ebb01-6fbb-498c-af58-022f50247ec9.json
deleted file mode 100644
index d6c2fec4a..000000000
--- a/data/hfopenllm_v2/Qwen/Qwen2-7B-Instruct/3e1ebb01-6fbb-498c-af58-022f50247ec9.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Qwen_Qwen2-7B-Instruct/1762652579.84092",
-  "retrieved_timestamp": "1762652579.84092",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Qwen/Qwen2-7B-Instruct",
-    "developer": "Qwen",
-    "inference_platform": "unknown",
-    "id": "Qwen/Qwen2-7B-Instruct",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.616
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5679075962889577
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5544781563793189
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2764350453172205
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2978187919463087
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.39279166666666665
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.38472406914893614
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Qwen/Qwen2-7B-Instruct/db0b6b3f-e5a9-4367-ab87-e58d5c6ccd81.json b/data/hfopenllm_v2/Qwen/Qwen2-7B-Instruct/db0b6b3f-e5a9-4367-ab87-e58d5c6ccd81.json
new file mode 100644
index 000000000..14d4c60a1
--- /dev/null
+++ b/data/hfopenllm_v2/Qwen/Qwen2-7B-Instruct/db0b6b3f-e5a9-4367-ab87-e58d5c6ccd81.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Qwen_Qwen2-7B-Instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2-7B-Instruct",
+    "id": "Qwen/Qwen2-7B-Instruct",
+    "developer": "Qwen",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5679
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5545
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2764
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2978
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3928
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3847
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Qwen/Qwen2-7B/54b055d0-80ae-4bba-b729-bd77b3ec7502.json b/data/hfopenllm_v2/Qwen/Qwen2-7B/54b055d0-80ae-4bba-b729-bd77b3ec7502.json
new file mode 100644
index 000000000..e3631e1e9
--- /dev/null
+++ b/data/hfopenllm_v2/Qwen/Qwen2-7B/54b055d0-80ae-4bba-b729-bd77b3ec7502.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Qwen_Qwen2-7B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2-7B",
+    "id": "Qwen/Qwen2-7B",
+    "developer": "Qwen",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3149
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5315
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2039
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3045
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4439
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4183
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Qwen/Qwen2-Math-72B-Instruct/1c7bb42e-aa1c-4522-a4b0-bcc460876125.json b/data/hfopenllm_v2/Qwen/Qwen2-Math-72B-Instruct/1c7bb42e-aa1c-4522-a4b0-bcc460876125.json
deleted file mode 100644
index d0bea4177..000000000
--- a/data/hfopenllm_v2/Qwen/Qwen2-Math-72B-Instruct/1c7bb42e-aa1c-4522-a4b0-bcc460876125.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Qwen_Qwen2-Math-72B-Instruct/1762652579.841145",
-  "retrieved_timestamp": "1762652579.8411462",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Qwen/Qwen2-Math-72B-Instruct",
-    "developer": "Qwen",
-    "inference_platform": "unknown",
-    "id": "Qwen/Qwen2-Math-72B-Instruct",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 72.706
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.634337660025181
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5536253776435045
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.36828859060402686
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.45169791666666664
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42727726063829785
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Qwen/Qwen2-Math-72B-Instruct/5c22d0b3-5082-4c6e-865c-71da03cf9378.json b/data/hfopenllm_v2/Qwen/Qwen2-Math-72B-Instruct/5c22d0b3-5082-4c6e-865c-71da03cf9378.json
new file mode 100644
index 000000000..a24afa6b4
--- /dev/null
+++ b/data/hfopenllm_v2/Qwen/Qwen2-Math-72B-Instruct/5c22d0b3-5082-4c6e-865c-71da03cf9378.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Qwen_Qwen2-Math-72B-Instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2-Math-72B-Instruct",
+    "id": "Qwen/Qwen2-Math-72B-Instruct",
+    "developer": "Qwen",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 72.706
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5694
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6343
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5536
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3683
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4517
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4273
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Qwen/Qwen2-Math-7B/f8e5ee9f-519d-4ed8-bd2a-88897075f401.json b/data/hfopenllm_v2/Qwen/Qwen2-Math-7B/f8e5ee9f-519d-4ed8-bd2a-88897075f401.json
new file mode 100644
index 000000000..93ad6f156
--- /dev/null
+++ b/data/hfopenllm_v2/Qwen/Qwen2-Math-7B/f8e5ee9f-519d-4ed8-bd2a-88897075f401.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Qwen_Qwen2-Math-7B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2-Math-7B",
+    "id": "Qwen/Qwen2-Math-7B",
+    "developer": "Qwen",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2687
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.387
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2477
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2634
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3593
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1197
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Qwen/Qwen2-VL-72B-Instruct/2f749e28-b845-45ab-a628-8f9b6a9029d9.json b/data/hfopenllm_v2/Qwen/Qwen2-VL-72B-Instruct/2f749e28-b845-45ab-a628-8f9b6a9029d9.json
deleted file mode 100644
index 077447090..000000000
--- a/data/hfopenllm_v2/Qwen/Qwen2-VL-72B-Instruct/2f749e28-b845-45ab-a628-8f9b6a9029d9.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Qwen_Qwen2-VL-72B-Instruct/1762652579.841569",
-  "retrieved_timestamp": "1762652579.8415701",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Qwen/Qwen2-VL-72B-Instruct",
-    "developer": "Qwen",
-    "inference_platform": "unknown",
-    "id": "Qwen/Qwen2-VL-72B-Instruct",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2VLForConditionalGeneration",
-      "params_billions": 73.406
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5982326892644849
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6946287292338682
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.34441087613293053
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diff --git a/data/hfopenllm_v2/Qwen/Qwen2-VL-72B-Instruct/b74c3215-7bd5-42d1-9193-f4c9c6a8bec2.json b/data/hfopenllm_v2/Qwen/Qwen2-VL-72B-Instruct/b74c3215-7bd5-42d1-9193-f4c9c6a8bec2.json
new file mode 100644
index 000000000..30ca6ebbd
--- /dev/null
+++ b/data/hfopenllm_v2/Qwen/Qwen2-VL-72B-Instruct/b74c3215-7bd5-42d1-9193-f4c9c6a8bec2.json
@@ -0,0 +1,132 @@
+{
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+  "evaluation_id": "hfopenllm_v2/Qwen_Qwen2-VL-72B-Instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2-VL-72B-Instruct",
+    "id": "Qwen/Qwen2-VL-72B-Instruct",
+    "developer": "Qwen",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2VLForConditionalGeneration",
+      "params_billions": 73.406
+    }
+  },
+  "evaluation_results": [
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5982
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6946
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+    {
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+      },
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+    {
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+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4492
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5717
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Qwen/Qwen2-VL-7B-Instruct/27df1e06-463b-4519-87eb-a1666ad3f98c.json b/data/hfopenllm_v2/Qwen/Qwen2-VL-7B-Instruct/27df1e06-463b-4519-87eb-a1666ad3f98c.json
new file mode 100644
index 000000000..276403439
--- /dev/null
+++ b/data/hfopenllm_v2/Qwen/Qwen2-VL-7B-Instruct/27df1e06-463b-4519-87eb-a1666ad3f98c.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Qwen_Qwen2-VL-7B-Instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2-VL-7B-Instruct",
+    "id": "Qwen/Qwen2-VL-7B-Instruct",
+    "developer": "Qwen",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2VLForConditionalGeneration",
+      "params_billions": 8.291
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5465
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1986
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4375
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4095
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Qwen/Qwen2-VL-7B-Instruct/6dd0eebe-ef61-431d-bf7c-c170475bed5f.json b/data/hfopenllm_v2/Qwen/Qwen2-VL-7B-Instruct/6dd0eebe-ef61-431d-bf7c-c170475bed5f.json
deleted file mode 100644
index c722e2f7c..000000000
--- a/data/hfopenllm_v2/Qwen/Qwen2-VL-7B-Instruct/6dd0eebe-ef61-431d-bf7c-c170475bed5f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
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-    "name": "Qwen/Qwen2-VL-7B-Instruct",
-    "developer": "Qwen",
-    "inference_platform": "unknown",
-    "id": "Qwen/Qwen2-VL-7B-Instruct",
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-        "min_score": 0,
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-    {
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-        "lower_is_better": false,
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-        "min_score": 0,
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-}
diff --git a/data/hfopenllm_v2/Qwen/Qwen2.5-0.5B-Instruct/14d1ea99-ae05-42cd-9f2f-de1a98d9846d.json b/data/hfopenllm_v2/Qwen/Qwen2.5-0.5B-Instruct/14d1ea99-ae05-42cd-9f2f-de1a98d9846d.json
deleted file mode 100644
index 213ea1b9c..000000000
--- a/data/hfopenllm_v2/Qwen/Qwen2.5-0.5B-Instruct/14d1ea99-ae05-42cd-9f2f-de1a98d9846d.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Qwen_Qwen2.5-0.5B-Instruct/1762652579.842413",
-  "retrieved_timestamp": "1762652579.8424141",
-  "source_data": [
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
-    "name": "Qwen/Qwen2.5-0.5B-Instruct",
-    "developer": "Qwen",
-    "inference_platform": "unknown",
-    "id": "Qwen/Qwen2.5-0.5B-Instruct",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
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-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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diff --git a/data/hfopenllm_v2/Qwen/Qwen2.5-0.5B-Instruct/883755e2-69eb-459b-ae7f-5548914aa65e.json b/data/hfopenllm_v2/Qwen/Qwen2.5-0.5B-Instruct/883755e2-69eb-459b-ae7f-5548914aa65e.json
deleted file mode 100644
index e5e358bc9..000000000
--- a/data/hfopenllm_v2/Qwen/Qwen2.5-0.5B-Instruct/883755e2-69eb-459b-ae7f-5548914aa65e.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Qwen_Qwen2.5-0.5B-Instruct/1762652579.842189",
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-  "source_data": [
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-    "developer": "Qwen",
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diff --git a/data/hfopenllm_v2/Qwen/Qwen2.5-0.5B-Instruct/9d975b05-7bee-462d-a33a-afa0d5af94d4.json b/data/hfopenllm_v2/Qwen/Qwen2.5-0.5B-Instruct/9d975b05-7bee-462d-a33a-afa0d5af94d4.json
new file mode 100644
index 000000000..d78bde574
--- /dev/null
+++ b/data/hfopenllm_v2/Qwen/Qwen2.5-0.5B-Instruct/9d975b05-7bee-462d-a33a-afa0d5af94d4.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Qwen_Qwen2.5-0.5B-Instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-0.5B-Instruct",
+    "id": "Qwen/Qwen2.5-0.5B-Instruct",
+    "developer": "Qwen",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 0.494
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3153
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3322
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1035
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2592
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3342
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.172
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Qwen/Qwen2.5-0.5B-Instruct/9ef9135a-473e-43a5-a460-fd3ec50226f9.json b/data/hfopenllm_v2/Qwen/Qwen2.5-0.5B-Instruct/9ef9135a-473e-43a5-a460-fd3ec50226f9.json
new file mode 100644
index 000000000..38a9f628f
--- /dev/null
+++ b/data/hfopenllm_v2/Qwen/Qwen2.5-0.5B-Instruct/9ef9135a-473e-43a5-a460-fd3ec50226f9.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Qwen_Qwen2.5-0.5B-Instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-0.5B-Instruct",
+    "id": "Qwen/Qwen2.5-0.5B-Instruct",
+    "developer": "Qwen",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 0.5
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3071
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3341
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2576
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3329
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1697
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Qwen/Qwen2.5-0.5B/c57cae01-328e-447b-8945-e3cd2c4b8a7b.json b/data/hfopenllm_v2/Qwen/Qwen2.5-0.5B/c57cae01-328e-447b-8945-e3cd2c4b8a7b.json
new file mode 100644
index 000000000..7aa39af3d
--- /dev/null
+++ b/data/hfopenllm_v2/Qwen/Qwen2.5-0.5B/c57cae01-328e-447b-8945-e3cd2c4b8a7b.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Qwen_Qwen2.5-0.5B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-0.5B",
+    "id": "Qwen/Qwen2.5-0.5B",
+    "developer": "Qwen",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 0.5
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1627
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3275
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0393
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2466
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3433
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1906
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Qwen/Qwen2.5-1.5B-Instruct/494c86cf-7f37-49d8-8160-b81859552c87.json b/data/hfopenllm_v2/Qwen/Qwen2.5-1.5B-Instruct/494c86cf-7f37-49d8-8160-b81859552c87.json
new file mode 100644
index 000000000..6d0e76598
--- /dev/null
+++ b/data/hfopenllm_v2/Qwen/Qwen2.5-1.5B-Instruct/494c86cf-7f37-49d8-8160-b81859552c87.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Qwen_Qwen2.5-1.5B-Instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-1.5B-Instruct",
+    "id": "Qwen/Qwen2.5-1.5B-Instruct",
+    "developer": "Qwen",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 1.5
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4476
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4289
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2205
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2559
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3663
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2799
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Qwen/Qwen2.5-1.5B-Instruct/9744dd76-a8cd-4400-92a7-f10b375710ae.json b/data/hfopenllm_v2/Qwen/Qwen2.5-1.5B-Instruct/9744dd76-a8cd-4400-92a7-f10b375710ae.json
deleted file mode 100644
index 7938b543a..000000000
--- a/data/hfopenllm_v2/Qwen/Qwen2.5-1.5B-Instruct/9744dd76-a8cd-4400-92a7-f10b375710ae.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Qwen_Qwen2.5-1.5B-Instruct/1762652579.842835",
-  "retrieved_timestamp": "1762652579.842836",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Qwen/Qwen2.5-1.5B-Instruct",
-    "developer": "Qwen",
-    "inference_platform": "unknown",
-    "id": "Qwen/Qwen2.5-1.5B-Instruct",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 1.5
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4475569267321817
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4288982740422907
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.22054380664652568
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2558724832214765
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3663125
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.27992021276595747
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Qwen/Qwen2.5-1.5B/6de5e76e-4297-4bcd-b06e-f63fa28da0e0.json b/data/hfopenllm_v2/Qwen/Qwen2.5-1.5B/6de5e76e-4297-4bcd-b06e-f63fa28da0e0.json
new file mode 100644
index 000000000..86834fae0
--- /dev/null
+++ b/data/hfopenllm_v2/Qwen/Qwen2.5-1.5B/6de5e76e-4297-4bcd-b06e-f63fa28da0e0.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Qwen_Qwen2.5-1.5B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-1.5B",
+    "id": "Qwen/Qwen2.5-1.5B",
+    "developer": "Qwen",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 1.5
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2674
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4078
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0914
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2852
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3576
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2855
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Qwen/Qwen2.5-14B-Instruct-1M/52ff136b-084f-4ca3-a48e-83fb0bbd8ebc.json b/data/hfopenllm_v2/Qwen/Qwen2.5-14B-Instruct-1M/52ff136b-084f-4ca3-a48e-83fb0bbd8ebc.json
deleted file mode 100644
index 435b7ca7f..000000000
--- a/data/hfopenllm_v2/Qwen/Qwen2.5-14B-Instruct-1M/52ff136b-084f-4ca3-a48e-83fb0bbd8ebc.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Qwen_Qwen2.5-14B-Instruct-1M/1762652579.843473",
-  "retrieved_timestamp": "1762652579.843473",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Qwen/Qwen2.5-14B-Instruct-1M",
-    "developer": "Qwen",
-    "inference_platform": "unknown",
-    "id": "Qwen/Qwen2.5-14B-Instruct-1M",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 14.77
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.8413564896696322
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6198222551365405
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5302114803625377
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.34312080536912754
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.418
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4849567819148936
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Qwen/Qwen2.5-14B-Instruct-1M/9b10cd14-82f3-4b36-a4be-5092127d68c3.json b/data/hfopenllm_v2/Qwen/Qwen2.5-14B-Instruct-1M/9b10cd14-82f3-4b36-a4be-5092127d68c3.json
new file mode 100644
index 000000000..7ccfcf4c1
--- /dev/null
+++ b/data/hfopenllm_v2/Qwen/Qwen2.5-14B-Instruct-1M/9b10cd14-82f3-4b36-a4be-5092127d68c3.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Qwen_Qwen2.5-14B-Instruct-1M/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-14B-Instruct-1M",
+    "id": "Qwen/Qwen2.5-14B-Instruct-1M",
+    "developer": "Qwen",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.77
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.8414
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6198
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5302
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3431
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.418
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.485
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Qwen/Qwen2.5-14B-Instruct/1f3e04ab-9f97-4eda-9d40-669eda073ac3.json b/data/hfopenllm_v2/Qwen/Qwen2.5-14B-Instruct/1f3e04ab-9f97-4eda-9d40-669eda073ac3.json
deleted file mode 100644
index d975472d5..000000000
--- a/data/hfopenllm_v2/Qwen/Qwen2.5-14B-Instruct/1f3e04ab-9f97-4eda-9d40-669eda073ac3.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Qwen_Qwen2.5-14B-Instruct/1762652579.843263",
-  "retrieved_timestamp": "1762652579.843264",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Qwen/Qwen2.5-14B-Instruct",
-    "developer": "Qwen",
-    "inference_platform": "unknown",
-    "id": "Qwen/Qwen2.5-14B-Instruct",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 14.77
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.8157776920792386
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6390453705906222
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.547583081570997
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3221476510067114
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4100625
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4904421542553192
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Qwen/Qwen2.5-14B-Instruct/bbd94181-0523-4543-80a7-056b041e03b7.json b/data/hfopenllm_v2/Qwen/Qwen2.5-14B-Instruct/bbd94181-0523-4543-80a7-056b041e03b7.json
new file mode 100644
index 000000000..ffc120545
--- /dev/null
+++ b/data/hfopenllm_v2/Qwen/Qwen2.5-14B-Instruct/bbd94181-0523-4543-80a7-056b041e03b7.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Qwen_Qwen2.5-14B-Instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-14B-Instruct",
+    "id": "Qwen/Qwen2.5-14B-Instruct",
+    "developer": "Qwen",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.77
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.8158
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.639
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5476
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3221
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4101
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4904
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Qwen/Qwen2.5-14B/e10d8573-e201-460e-a931-49a1b13ceeea.json b/data/hfopenllm_v2/Qwen/Qwen2.5-14B/e10d8573-e201-460e-a931-49a1b13ceeea.json
new file mode 100644
index 000000000..20c1af18c
--- /dev/null
+++ b/data/hfopenllm_v2/Qwen/Qwen2.5-14B/e10d8573-e201-460e-a931-49a1b13ceeea.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Qwen_Qwen2.5-14B/1770682486.623709",
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+  "source_metadata": {
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+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-14B",
+    "id": "Qwen/Qwen2.5-14B",
+    "developer": "Qwen",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.77
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+      }
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6161
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.29
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3817
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4502
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5249
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Qwen/Qwen2.5-32B-Instruct/c921186d-6e97-46d6-b968-894159271620.json b/data/hfopenllm_v2/Qwen/Qwen2.5-32B-Instruct/c921186d-6e97-46d6-b968-894159271620.json
deleted file mode 100644
index 482cdb6fc..000000000
--- a/data/hfopenllm_v2/Qwen/Qwen2.5-32B-Instruct/c921186d-6e97-46d6-b968-894159271620.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/Qwen_Qwen2.5-32B-Instruct/1762652579.843922",
-  "retrieved_timestamp": "1762652579.843922",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Qwen/Qwen2.5-32B-Instruct",
-    "developer": "Qwen",
-    "inference_platform": "unknown",
-    "id": "Qwen/Qwen2.5-32B-Instruct",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 32.764
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.8346121623957765
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
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-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
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-        "score": 0.6253776435045317
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.33808724832214765
-      }
-    },
-    {
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-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42612500000000003
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.566655585106383
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Qwen/Qwen2.5-32B-Instruct/e2ca9477-2414-4b8a-8d22-68f9ced54ae5.json b/data/hfopenllm_v2/Qwen/Qwen2.5-32B-Instruct/e2ca9477-2414-4b8a-8d22-68f9ced54ae5.json
new file mode 100644
index 000000000..d6d218cf5
--- /dev/null
+++ b/data/hfopenllm_v2/Qwen/Qwen2.5-32B-Instruct/e2ca9477-2414-4b8a-8d22-68f9ced54ae5.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Qwen_Qwen2.5-32B-Instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-32B-Instruct",
+    "id": "Qwen/Qwen2.5-32B-Instruct",
+    "developer": "Qwen",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 32.764
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.8346
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6913
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6254
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3381
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4261
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5667
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Qwen/Qwen2.5-32B/831246b8-5433-48e6-ba11-8a4239373106.json b/data/hfopenllm_v2/Qwen/Qwen2.5-32B/831246b8-5433-48e6-ba11-8a4239373106.json
new file mode 100644
index 000000000..ba1f6cfae
--- /dev/null
+++ b/data/hfopenllm_v2/Qwen/Qwen2.5-32B/831246b8-5433-48e6-ba11-8a4239373106.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Qwen_Qwen2.5-32B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-32B",
+    "id": "Qwen/Qwen2.5-32B",
+    "developer": "Qwen",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 32.764
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4077
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6771
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3565
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4119
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4978
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5805
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Qwen/Qwen2.5-3B-Instruct/8277994c-8bf5-4ece-9f34-4fe9a4310bbf.json b/data/hfopenllm_v2/Qwen/Qwen2.5-3B-Instruct/8277994c-8bf5-4ece-9f34-4fe9a4310bbf.json
new file mode 100644
index 000000000..a44b6ae5b
--- /dev/null
+++ b/data/hfopenllm_v2/Qwen/Qwen2.5-3B-Instruct/8277994c-8bf5-4ece-9f34-4fe9a4310bbf.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Qwen_Qwen2.5-3B-Instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-3B-Instruct",
+    "id": "Qwen/Qwen2.5-3B-Instruct",
+    "developer": "Qwen",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 3.0
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6475
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4693
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3678
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2727
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3968
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3255
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Qwen/Qwen2.5-3B-Instruct/9fb4e863-fd72-4b60-bc20-e32e64ce99e8.json b/data/hfopenllm_v2/Qwen/Qwen2.5-3B-Instruct/9fb4e863-fd72-4b60-bc20-e32e64ce99e8.json
deleted file mode 100644
index 950b190b9..000000000
--- a/data/hfopenllm_v2/Qwen/Qwen2.5-3B-Instruct/9fb4e863-fd72-4b60-bc20-e32e64ce99e8.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Qwen_Qwen2.5-3B-Instruct/1762652579.844352",
-  "retrieved_timestamp": "1762652579.844352",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Qwen/Qwen2.5-3B-Instruct",
-    "developer": "Qwen",
-    "inference_platform": "unknown",
-    "id": "Qwen/Qwen2.5-3B-Instruct",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 3.0
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6474919879253713
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.469276665604885
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3678247734138973
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2726510067114094
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.39679166666666665
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3254654255319149
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Qwen/Qwen2.5-3B/5aabc7c5-eb3a-42e0-8b40-0a08004f6e1a.json b/data/hfopenllm_v2/Qwen/Qwen2.5-3B/5aabc7c5-eb3a-42e0-8b40-0a08004f6e1a.json
new file mode 100644
index 000000000..229075fd2
--- /dev/null
+++ b/data/hfopenllm_v2/Qwen/Qwen2.5-3B/5aabc7c5-eb3a-42e0-8b40-0a08004f6e1a.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Qwen_Qwen2.5-3B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-3B",
+    "id": "Qwen/Qwen2.5-3B",
+    "developer": "Qwen",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 3.086
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.269
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4612
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.148
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2978
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4303
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3203
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Qwen/Qwen2.5-72B-Instruct/9ed2a831-aa5a-4e81-b8b5-397bc8b55835.json b/data/hfopenllm_v2/Qwen/Qwen2.5-72B-Instruct/9ed2a831-aa5a-4e81-b8b5-397bc8b55835.json
deleted file mode 100644
index aeaa6e2da..000000000
--- a/data/hfopenllm_v2/Qwen/Qwen2.5-72B-Instruct/9ed2a831-aa5a-4e81-b8b5-397bc8b55835.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Qwen_Qwen2.5-72B-Instruct/1762652579.844789",
-  "retrieved_timestamp": "1762652579.844789",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Qwen/Qwen2.5-72B-Instruct",
-    "developer": "Qwen",
-    "inference_platform": "unknown",
-    "id": "Qwen/Qwen2.5-72B-Instruct",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 72.706
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.863837949972739
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7272747321744824
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5981873111782477
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.375
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42060416666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5625831117021277
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Qwen/Qwen2.5-72B-Instruct/cbb73c83-ad94-4973-9bf5-a5e7ca4d1653.json b/data/hfopenllm_v2/Qwen/Qwen2.5-72B-Instruct/cbb73c83-ad94-4973-9bf5-a5e7ca4d1653.json
new file mode 100644
index 000000000..9fcc6ecb3
--- /dev/null
+++ b/data/hfopenllm_v2/Qwen/Qwen2.5-72B-Instruct/cbb73c83-ad94-4973-9bf5-a5e7ca4d1653.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Qwen_Qwen2.5-72B-Instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-72B-Instruct",
+    "id": "Qwen/Qwen2.5-72B-Instruct",
+    "developer": "Qwen",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 72.706
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.8638
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7273
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5982
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.375
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4206
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5626
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Qwen/Qwen2.5-72B/3ed06a16-d5fe-43d3-a369-f4ed29fb3a5d.json b/data/hfopenllm_v2/Qwen/Qwen2.5-72B/3ed06a16-d5fe-43d3-a369-f4ed29fb3a5d.json
new file mode 100644
index 000000000..af273092b
--- /dev/null
+++ b/data/hfopenllm_v2/Qwen/Qwen2.5-72B/3ed06a16-d5fe-43d3-a369-f4ed29fb3a5d.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Qwen_Qwen2.5-72B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-72B",
+    "id": "Qwen/Qwen2.5-72B",
+    "developer": "Qwen",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 72.706
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4137
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6797
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3912
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4052
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4771
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5968
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Qwen/Qwen2.5-7B-Instruct-1M/f338f8b3-d2fa-46e6-b2a1-b83303521b3f.json b/data/hfopenllm_v2/Qwen/Qwen2.5-7B-Instruct-1M/f338f8b3-d2fa-46e6-b2a1-b83303521b3f.json
deleted file mode 100644
index e95bf0163..000000000
--- a/data/hfopenllm_v2/Qwen/Qwen2.5-7B-Instruct-1M/f338f8b3-d2fa-46e6-b2a1-b83303521b3f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Qwen_Qwen2.5-7B-Instruct-1M/1762652579.845428",
-  "retrieved_timestamp": "1762652579.845428",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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diff --git a/data/hfopenllm_v2/Qwen/Qwen2.5-7B-Instruct-1M/fc817789-2f44-4d2b-b40e-2422fe33d104.json b/data/hfopenllm_v2/Qwen/Qwen2.5-7B-Instruct-1M/fc817789-2f44-4d2b-b40e-2422fe33d104.json
new file mode 100644
index 000000000..776013deb
--- /dev/null
+++ b/data/hfopenllm_v2/Qwen/Qwen2.5-7B-Instruct-1M/fc817789-2f44-4d2b-b40e-2422fe33d104.json
@@ -0,0 +1,132 @@
+{
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+  "evaluation_id": "hfopenllm_v2/Qwen_Qwen2.5-7B-Instruct-1M/1770682486.623709",
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+  "source_metadata": {
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+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-7B-Instruct-1M",
+    "id": "Qwen/Qwen2.5-7B-Instruct-1M",
+    "developer": "Qwen",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
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+      "source_data": {
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+        "hf_repo": "google/IFEval"
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+        "score_type": "continuous",
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+      },
+      "score_details": {
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+        "hf_repo": "SaylorTwift/bbh"
+      },
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+        "evaluation_description": "Accuracy on BBH",
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+        "max_score": 1.0
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
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+        "hf_repo": "TAUR-Lab/MuSR"
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+        "evaluation_description": "Accuracy on MUSR",
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+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/Qwen/Qwen2.5-7B-Instruct/5e1c8723-7c43-4d8f-8c7c-386c2eb6b9cf.json b/data/hfopenllm_v2/Qwen/Qwen2.5-7B-Instruct/5e1c8723-7c43-4d8f-8c7c-386c2eb6b9cf.json
new file mode 100644
index 000000000..66802b86b
--- /dev/null
+++ b/data/hfopenllm_v2/Qwen/Qwen2.5-7B-Instruct/5e1c8723-7c43-4d8f-8c7c-386c2eb6b9cf.json
@@ -0,0 +1,132 @@
+{
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+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
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+    "name": "Qwen2.5-7B-Instruct",
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+    "developer": "Qwen",
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+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
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+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "hf_repo": "Idavidrein/gpqa"
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+      },
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
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+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
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+        "evaluation_description": "Accuracy on MMLU-PRO",
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+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Qwen/Qwen2.5-7B-Instruct/7a336f2b-3b33-4fde-bce6-2d1e884a1b26.json b/data/hfopenllm_v2/Qwen/Qwen2.5-7B-Instruct/7a336f2b-3b33-4fde-bce6-2d1e884a1b26.json
deleted file mode 100644
index abcfd30eb..000000000
--- a/data/hfopenllm_v2/Qwen/Qwen2.5-7B-Instruct/7a336f2b-3b33-4fde-bce6-2d1e884a1b26.json
+++ /dev/null
@@ -1,105 +0,0 @@
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-}
diff --git a/data/hfopenllm_v2/Qwen/Qwen2.5-7B/b6740747-19ac-4a9c-892f-6556013ddc8b.json b/data/hfopenllm_v2/Qwen/Qwen2.5-7B/b6740747-19ac-4a9c-892f-6556013ddc8b.json
new file mode 100644
index 000000000..744db06b8
--- /dev/null
+++ b/data/hfopenllm_v2/Qwen/Qwen2.5-7B/b6740747-19ac-4a9c-892f-6556013ddc8b.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Qwen_Qwen2.5-7B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-7B",
+    "id": "Qwen/Qwen2.5-7B",
+    "developer": "Qwen",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5416
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+      }
+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3247
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4424
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4365
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Qwen/Qwen2.5-Coder-14B-Instruct/3263ab46-09ae-4c24-9332-b6874d0d0330.json b/data/hfopenllm_v2/Qwen/Qwen2.5-Coder-14B-Instruct/3263ab46-09ae-4c24-9332-b6874d0d0330.json
new file mode 100644
index 000000000..efdce1948
--- /dev/null
+++ b/data/hfopenllm_v2/Qwen/Qwen2.5-Coder-14B-Instruct/3263ab46-09ae-4c24-9332-b6874d0d0330.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Qwen_Qwen2.5-Coder-14B-Instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-Coder-14B-Instruct",
+    "id": "Qwen/Qwen2.5-Coder-14B-Instruct",
+    "developer": "Qwen",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.77
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6908
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.614
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3248
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3045
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3915
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3939
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Qwen/Qwen2.5-Coder-14B-Instruct/f2295cf4-86e0-4c73-8f3d-21c6e5ccd9d9.json b/data/hfopenllm_v2/Qwen/Qwen2.5-Coder-14B-Instruct/f2295cf4-86e0-4c73-8f3d-21c6e5ccd9d9.json
deleted file mode 100644
index 6fc060fc7..000000000
--- a/data/hfopenllm_v2/Qwen/Qwen2.5-Coder-14B-Instruct/f2295cf4-86e0-4c73-8f3d-21c6e5ccd9d9.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Qwen_Qwen2.5-Coder-14B-Instruct/1762652579.846175",
-  "retrieved_timestamp": "1762652579.846175",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Qwen/Qwen2.5-Coder-14B-Instruct",
-    "developer": "Qwen",
-    "inference_platform": "unknown",
-    "id": "Qwen/Qwen2.5-Coder-14B-Instruct",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 14.77
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6907560827493273
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6140296423661326
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.324773413897281
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30453020134228187
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3914583333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3939494680851064
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Qwen/Qwen2.5-Coder-14B/a8706a7e-5693-4768-a955-a448549d2e77.json b/data/hfopenllm_v2/Qwen/Qwen2.5-Coder-14B/a8706a7e-5693-4768-a955-a448549d2e77.json
new file mode 100644
index 000000000..b59e9c9ed
--- /dev/null
+++ b/data/hfopenllm_v2/Qwen/Qwen2.5-Coder-14B/a8706a7e-5693-4768-a955-a448549d2e77.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Qwen_Qwen2.5-Coder-14B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-Coder-14B",
+    "id": "Qwen/Qwen2.5-Coder-14B",
+    "developer": "Qwen",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.77
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3473
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5865
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2251
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2928
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3874
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4521
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Qwen/Qwen2.5-Coder-32B-Instruct/3c932329-0440-4799-886f-10bc4a5aeb09.json b/data/hfopenllm_v2/Qwen/Qwen2.5-Coder-32B-Instruct/3c932329-0440-4799-886f-10bc4a5aeb09.json
new file mode 100644
index 000000000..61b3a04a0
--- /dev/null
+++ b/data/hfopenllm_v2/Qwen/Qwen2.5-Coder-32B-Instruct/3c932329-0440-4799-886f-10bc4a5aeb09.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Qwen_Qwen2.5-Coder-32B-Instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-Coder-32B-Instruct",
+    "id": "Qwen/Qwen2.5-Coder-32B-Instruct",
+    "developer": "Qwen",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 32.764
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7265
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6625
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4955
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.349
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4386
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4413
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Qwen/Qwen2.5-Coder-32B-Instruct/c0ca7adb-6221-415f-8ed6-0de6439db168.json b/data/hfopenllm_v2/Qwen/Qwen2.5-Coder-32B-Instruct/c0ca7adb-6221-415f-8ed6-0de6439db168.json
deleted file mode 100644
index c6b08677a..000000000
--- a/data/hfopenllm_v2/Qwen/Qwen2.5-Coder-32B-Instruct/c0ca7adb-6221-415f-8ed6-0de6439db168.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Qwen_Qwen2.5-Coder-32B-Instruct/1762652579.846655",
-  "retrieved_timestamp": "1762652579.846655",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Qwen/Qwen2.5-Coder-32B-Instruct",
-    "developer": "Qwen",
-    "inference_platform": "unknown",
-    "id": "Qwen/Qwen2.5-Coder-32B-Instruct",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 32.764
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7265267268625026
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6625222222405129
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4954682779456193
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.348993288590604
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4385833333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.44132313829787234
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Qwen/Qwen2.5-Coder-32B/b1e42d9d-827d-4109-8d1b-182694033b21.json b/data/hfopenllm_v2/Qwen/Qwen2.5-Coder-32B/b1e42d9d-827d-4109-8d1b-182694033b21.json
new file mode 100644
index 000000000..636fd2224
--- /dev/null
+++ b/data/hfopenllm_v2/Qwen/Qwen2.5-Coder-32B/b1e42d9d-827d-4109-8d1b-182694033b21.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Qwen_Qwen2.5-Coder-32B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-Coder-32B",
+    "id": "Qwen/Qwen2.5-Coder-32B",
+    "developer": "Qwen",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 32.764
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4363
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6404
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3089
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3465
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4528
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5303
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Qwen/Qwen2.5-Coder-7B-Instruct/0c6f0d92-3ee0-48d7-b3fc-70149911a51d.json b/data/hfopenllm_v2/Qwen/Qwen2.5-Coder-7B-Instruct/0c6f0d92-3ee0-48d7-b3fc-70149911a51d.json
new file mode 100644
index 000000000..00f370a8a
--- /dev/null
+++ b/data/hfopenllm_v2/Qwen/Qwen2.5-Coder-7B-Instruct/0c6f0d92-3ee0-48d7-b3fc-70149911a51d.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Qwen_Qwen2.5-Coder-7B-Instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-Coder-7B-Instruct",
+    "id": "Qwen/Qwen2.5-Coder-7B-Instruct",
+    "developer": "Qwen",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6147
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4999
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.031
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2936
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4099
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3354
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Qwen/Qwen2.5-Coder-7B-Instruct/73b07681-8e10-414e-8922-650908f9cf6a.json b/data/hfopenllm_v2/Qwen/Qwen2.5-Coder-7B-Instruct/73b07681-8e10-414e-8922-650908f9cf6a.json
new file mode 100644
index 000000000..f33929085
--- /dev/null
+++ b/data/hfopenllm_v2/Qwen/Qwen2.5-Coder-7B-Instruct/73b07681-8e10-414e-8922-650908f9cf6a.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Qwen_Qwen2.5-Coder-7B-Instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-Coder-7B-Instruct",
+    "id": "Qwen/Qwen2.5-Coder-7B-Instruct",
+    "developer": "Qwen",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6101
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5008
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3716
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2919
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4073
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3352
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Qwen/Qwen2.5-Coder-7B-Instruct/7629f304-5235-485b-a7f6-f5a7f91fd35c.json b/data/hfopenllm_v2/Qwen/Qwen2.5-Coder-7B-Instruct/7629f304-5235-485b-a7f6-f5a7f91fd35c.json
deleted file mode 100644
index d6b159ce3..000000000
--- a/data/hfopenllm_v2/Qwen/Qwen2.5-Coder-7B-Instruct/7629f304-5235-485b-a7f6-f5a7f91fd35c.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Qwen_Qwen2.5-Coder-7B-Instruct/1762652579.847122",
-  "retrieved_timestamp": "1762652579.847123",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Qwen/Qwen2.5-Coder-7B-Instruct",
-    "developer": "Qwen",
-    "inference_platform": "unknown",
-    "id": "Qwen/Qwen2.5-Coder-7B-Instruct",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.616
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6101477413263474
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5007976986224548
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3716012084592145
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.29194630872483224
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4072708333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3351894946808511
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Qwen/Qwen2.5-Coder-7B-Instruct/81749833-4f2a-4883-a789-c465c11b33b6.json b/data/hfopenllm_v2/Qwen/Qwen2.5-Coder-7B-Instruct/81749833-4f2a-4883-a789-c465c11b33b6.json
deleted file mode 100644
index 1d2a97cbc..000000000
--- a/data/hfopenllm_v2/Qwen/Qwen2.5-Coder-7B-Instruct/81749833-4f2a-4883-a789-c465c11b33b6.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Qwen_Qwen2.5-Coder-7B-Instruct/1762652579.8473449",
-  "retrieved_timestamp": "1762652579.8473458",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Qwen/Qwen2.5-Coder-7B-Instruct",
-    "developer": "Qwen",
-    "inference_platform": "unknown",
-    "id": "Qwen/Qwen2.5-Coder-7B-Instruct",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.616
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6147189457306613
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4999048550311305
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.030966767371601207
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2936241610738255
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4099375
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.33543882978723405
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Qwen/Qwen2.5-Coder-7B/8b1549f8-0602-4538-842c-abe9dca7baff.json b/data/hfopenllm_v2/Qwen/Qwen2.5-Coder-7B/8b1549f8-0602-4538-842c-abe9dca7baff.json
new file mode 100644
index 000000000..db8e13ac7
--- /dev/null
+++ b/data/hfopenllm_v2/Qwen/Qwen2.5-Coder-7B/8b1549f8-0602-4538-842c-abe9dca7baff.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Qwen_Qwen2.5-Coder-7B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-Coder-7B",
+    "id": "Qwen/Qwen2.5-Coder-7B",
+    "developer": "Qwen",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3446
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4856
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1918
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2592
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3449
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3679
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Qwen/Qwen2.5-Math-1.5B-Instruct/393c9602-bd87-48d7-ad95-6baf85ed3341.json b/data/hfopenllm_v2/Qwen/Qwen2.5-Math-1.5B-Instruct/393c9602-bd87-48d7-ad95-6baf85ed3341.json
deleted file mode 100644
index 2d48e189e..000000000
--- a/data/hfopenllm_v2/Qwen/Qwen2.5-Math-1.5B-Instruct/393c9602-bd87-48d7-ad95-6baf85ed3341.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Qwen_Qwen2.5-Math-1.5B-Instruct/1762652579.84755",
-  "retrieved_timestamp": "1762652579.84755",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Qwen/Qwen2.5-Math-1.5B-Instruct",
-    "developer": "Qwen",
-    "inference_platform": "unknown",
-    "id": "Qwen/Qwen2.5-Math-1.5B-Instruct",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 1.544
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1855731680829089
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37515353898426174
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2628398791540785
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2651006711409396
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3685416666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1801030585106383
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Qwen/Qwen2.5-Math-1.5B-Instruct/ad395ad4-0f9f-4b49-83c9-b89fa6b6dd89.json b/data/hfopenllm_v2/Qwen/Qwen2.5-Math-1.5B-Instruct/ad395ad4-0f9f-4b49-83c9-b89fa6b6dd89.json
new file mode 100644
index 000000000..376ff5457
--- /dev/null
+++ b/data/hfopenllm_v2/Qwen/Qwen2.5-Math-1.5B-Instruct/ad395ad4-0f9f-4b49-83c9-b89fa6b6dd89.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Qwen_Qwen2.5-Math-1.5B-Instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-Math-1.5B-Instruct",
+    "id": "Qwen/Qwen2.5-Math-1.5B-Instruct",
+    "developer": "Qwen",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 1.544
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1856
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3752
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2628
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2651
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3685
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1801
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Qwen/Qwen2.5-Math-72B-Instruct/14c01681-fbef-49c4-b737-a7baaa02d393.json b/data/hfopenllm_v2/Qwen/Qwen2.5-Math-72B-Instruct/14c01681-fbef-49c4-b737-a7baaa02d393.json
new file mode 100644
index 000000000..0366bc367
--- /dev/null
+++ b/data/hfopenllm_v2/Qwen/Qwen2.5-Math-72B-Instruct/14c01681-fbef-49c4-b737-a7baaa02d393.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Qwen_Qwen2.5-Math-72B-Instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-Math-72B-Instruct",
+    "id": "Qwen/Qwen2.5-Math-72B-Instruct",
+    "developer": "Qwen",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 72.706
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4003
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6452
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6239
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3314
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4473
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4812
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Qwen/Qwen2.5-Math-72B-Instruct/64574dc3-4982-49c3-8526-09ebd5781175.json b/data/hfopenllm_v2/Qwen/Qwen2.5-Math-72B-Instruct/64574dc3-4982-49c3-8526-09ebd5781175.json
deleted file mode 100644
index 376cf9919..000000000
--- a/data/hfopenllm_v2/Qwen/Qwen2.5-Math-72B-Instruct/64574dc3-4982-49c3-8526-09ebd5781175.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Qwen_Qwen2.5-Math-72B-Instruct/1762652579.847774",
-  "retrieved_timestamp": "1762652579.847775",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Qwen/Qwen2.5-Math-72B-Instruct",
-    "developer": "Qwen",
-    "inference_platform": "unknown",
-    "id": "Qwen/Qwen2.5-Math-72B-Instruct",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 72.706
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4003466358151926
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6452266637803764
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6238670694864048
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3313758389261745
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.44727083333333334
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4812167553191489
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Qwen/Qwen2.5-Math-7B-Instruct/3ad495c0-da8e-4776-8d05-bc7dce1fe120.json b/data/hfopenllm_v2/Qwen/Qwen2.5-Math-7B-Instruct/3ad495c0-da8e-4776-8d05-bc7dce1fe120.json
new file mode 100644
index 000000000..c41423d24
--- /dev/null
+++ b/data/hfopenllm_v2/Qwen/Qwen2.5-Math-7B-Instruct/3ad495c0-da8e-4776-8d05-bc7dce1fe120.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Qwen_Qwen2.5-Math-7B-Instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-Math-7B-Instruct",
+    "id": "Qwen/Qwen2.5-Math-7B-Instruct",
+    "developer": "Qwen",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.0
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2636
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4388
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5808
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2617
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3647
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.282
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Qwen/Qwen2.5-Math-7B-Instruct/6ba8109e-8906-420f-a780-d0bef4015e1a.json b/data/hfopenllm_v2/Qwen/Qwen2.5-Math-7B-Instruct/6ba8109e-8906-420f-a780-d0bef4015e1a.json
deleted file mode 100644
index f1ce12d77..000000000
--- a/data/hfopenllm_v2/Qwen/Qwen2.5-Math-7B-Instruct/6ba8109e-8906-420f-a780-d0bef4015e1a.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Qwen_Qwen2.5-Math-7B-Instruct/1762652579.848376",
-  "retrieved_timestamp": "1762652579.848377",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Qwen/Qwen2.5-Math-7B-Instruct",
-    "developer": "Qwen",
-    "inference_platform": "unknown",
-    "id": "Qwen/Qwen2.5-Math-7B-Instruct",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.0
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.26358395723347383
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.438762734452786
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5808157099697885
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.26174496644295303
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3647291666666666
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2819980053191489
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Qwen/Qwen2.5-Math-7B/0762ca9e-f0d4-408e-9992-e91a10e0e65f.json b/data/hfopenllm_v2/Qwen/Qwen2.5-Math-7B/0762ca9e-f0d4-408e-9992-e91a10e0e65f.json
new file mode 100644
index 000000000..e97af5279
--- /dev/null
+++ b/data/hfopenllm_v2/Qwen/Qwen2.5-Math-7B/0762ca9e-f0d4-408e-9992-e91a10e0e65f.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Qwen_Qwen2.5-Math-7B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-Math-7B",
+    "id": "Qwen/Qwen2.5-Math-7B",
+    "developer": "Qwen",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.246
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4455
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3051
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2936
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3781
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2718
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/RDson/WomboCombo-R1-Coder-14B-Preview/ec6c1d05-cea7-445c-bed3-9eee1e1ff03d.json b/data/hfopenllm_v2/RDson/WomboCombo-R1-Coder-14B-Preview/ec6c1d05-cea7-445c-bed3-9eee1e1ff03d.json
new file mode 100644
index 000000000..8ed8e2c46
--- /dev/null
+++ b/data/hfopenllm_v2/RDson/WomboCombo-R1-Coder-14B-Preview/ec6c1d05-cea7-445c-bed3-9eee1e1ff03d.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/RDson_WomboCombo-R1-Coder-14B-Preview/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "WomboCombo-R1-Coder-14B-Preview",
+    "id": "RDson/WomboCombo-R1-Coder-14B-Preview",
+    "developer": "RDson",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.77
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6286
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6392
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5989
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3213
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4844
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5168
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/RDson/WomboCombo-R1-Coder-14B-Preview/faa623a7-1bf8-4da6-b381-7701f0446b70.json b/data/hfopenllm_v2/RDson/WomboCombo-R1-Coder-14B-Preview/faa623a7-1bf8-4da6-b381-7701f0446b70.json
deleted file mode 100644
index 465b04344..000000000
--- a/data/hfopenllm_v2/RDson/WomboCombo-R1-Coder-14B-Preview/faa623a7-1bf8-4da6-b381-7701f0446b70.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/RDson_WomboCombo-R1-Coder-14B-Preview/1762652579.848609",
-  "retrieved_timestamp": "1762652579.8486102",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "RDson/WomboCombo-R1-Coder-14B-Preview",
-    "developer": "RDson",
-    "inference_platform": "unknown",
-    "id": "RDson/WomboCombo-R1-Coder-14B-Preview",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 14.77
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.628557782240012
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6392098699331132
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5989425981873112
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3213087248322148
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4843854166666666
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5167885638297872
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/RESMPDEV/EVA-Qwen2.5-1.5B-FRFR/1fc39812-77fb-4d0c-b9fb-706e94c40afe.json b/data/hfopenllm_v2/RESMPDEV/EVA-Qwen2.5-1.5B-FRFR/1fc39812-77fb-4d0c-b9fb-706e94c40afe.json
new file mode 100644
index 000000000..44c5b7786
--- /dev/null
+++ b/data/hfopenllm_v2/RESMPDEV/EVA-Qwen2.5-1.5B-FRFR/1fc39812-77fb-4d0c-b9fb-706e94c40afe.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/RESMPDEV_EVA-Qwen2.5-1.5B-FRFR/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "EVA-Qwen2.5-1.5B-FRFR",
+    "id": "RESMPDEV/EVA-Qwen2.5-1.5B-FRFR",
+    "developer": "RESMPDEV",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 1.544
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3082
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3932
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1027
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2794
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
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+        "score_type": "continuous",
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+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/RESMPDEV/Qwen2-Wukong-0.5B/fdc3c502-53ad-4bf7-85ce-51eaed72754b.json b/data/hfopenllm_v2/RESMPDEV/Qwen2-Wukong-0.5B/fdc3c502-53ad-4bf7-85ce-51eaed72754b.json
new file mode 100644
index 000000000..7c90e36d8
--- /dev/null
+++ b/data/hfopenllm_v2/RESMPDEV/Qwen2-Wukong-0.5B/fdc3c502-53ad-4bf7-85ce-51eaed72754b.json
@@ -0,0 +1,132 @@
+{
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+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2-Wukong-0.5B",
+    "id": "RESMPDEV/Qwen2-Wukong-0.5B",
+    "developer": "RESMPDEV",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 0.63
+    }
+  },
+  "evaluation_results": [
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+        "source_type": "hf_dataset",
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+      },
+      "metric_config": {
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+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
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+      },
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+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "max_score": 1.0
+      },
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+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/RLHFlow/ArmoRM-Llama3-8B-v0.1/3f74c1c7-f349-4193-95cf-b0033112fea0.json b/data/hfopenllm_v2/RLHFlow/ArmoRM-Llama3-8B-v0.1/3f74c1c7-f349-4193-95cf-b0033112fea0.json
new file mode 100644
index 000000000..0705593b8
--- /dev/null
+++ b/data/hfopenllm_v2/RLHFlow/ArmoRM-Llama3-8B-v0.1/3f74c1c7-f349-4193-95cf-b0033112fea0.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/RLHFlow_ArmoRM-Llama3-8B-v0.1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "ArmoRM-Llama3-8B-v0.1",
+    "id": "RLHFlow/ArmoRM-Llama3-8B-v0.1",
+    "developer": "RLHFlow",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForRewardModelWithGating",
+      "params_billions": 7.511
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
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+      },
+      "metric_config": {
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+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
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+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/RLHFlow/LLaMA3-iterative-DPO-final/36a803da-83ab-4c49-8855-9344aaa7a68b.json b/data/hfopenllm_v2/RLHFlow/LLaMA3-iterative-DPO-final/36a803da-83ab-4c49-8855-9344aaa7a68b.json
new file mode 100644
index 000000000..49dd63ad0
--- /dev/null
+++ b/data/hfopenllm_v2/RLHFlow/LLaMA3-iterative-DPO-final/36a803da-83ab-4c49-8855-9344aaa7a68b.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/RLHFlow_LLaMA3-iterative-DPO-final/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "LLaMA3-iterative-DPO-final",
+    "id": "RLHFlow/LLaMA3-iterative-DPO-final",
+    "developer": "RLHFlow",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
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+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
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+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+    },
+    {
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2836
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
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+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/RLHFlow/LLaMA3-iterative-DPO-final/8ccda2e0-9801-41b0-8491-eb36615860f2.json b/data/hfopenllm_v2/RLHFlow/LLaMA3-iterative-DPO-final/8ccda2e0-9801-41b0-8491-eb36615860f2.json
deleted file mode 100644
index 08fe1bcc3..000000000
--- a/data/hfopenllm_v2/RLHFlow/LLaMA3-iterative-DPO-final/8ccda2e0-9801-41b0-8491-eb36615860f2.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "RLHFlow/LLaMA3-iterative-DPO-final",
-    "developer": "RLHFlow",
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-    "id": "RLHFlow/LLaMA3-iterative-DPO-final",
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diff --git a/data/hfopenllm_v2/RWKV/rwkv-raven-14b/9a90826f-9062-48aa-b047-d24f4e0d85ef.json b/data/hfopenllm_v2/RWKV/rwkv-raven-14b/9a90826f-9062-48aa-b047-d24f4e0d85ef.json
deleted file mode 100644
index cd052f3d0..000000000
--- a/data/hfopenllm_v2/RWKV/rwkv-raven-14b/9a90826f-9062-48aa-b047-d24f4e0d85ef.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "retrieved_timestamp": "1762652579.849976",
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-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
-    "name": "RWKV/rwkv-raven-14b",
-    "developer": "RWKV",
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-    "id": "RWKV/rwkv-raven-14b",
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-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11502659574468085
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/RWKV/rwkv-raven-14b/df986996-249e-49f9-b074-91e8dcdf62e2.json b/data/hfopenllm_v2/RWKV/rwkv-raven-14b/df986996-249e-49f9-b074-91e8dcdf62e2.json
new file mode 100644
index 000000000..608ee4b4e
--- /dev/null
+++ b/data/hfopenllm_v2/RWKV/rwkv-raven-14b/df986996-249e-49f9-b074-91e8dcdf62e2.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/RWKV_rwkv-raven-14b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "rwkv-raven-14b",
+    "id": "RWKV/rwkv-raven-14b",
+    "developer": "RWKV",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "RwkvForCausalLM",
+      "params_billions": 14.0
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0768
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3307
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0045
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.229
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3951
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.115
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Rakuten/RakutenAI-2.0-mini-instruct/549f9869-4b59-469b-b9fd-ea26114405a1.json b/data/hfopenllm_v2/Rakuten/RakutenAI-2.0-mini-instruct/549f9869-4b59-469b-b9fd-ea26114405a1.json
deleted file mode 100644
index 4babd1d28..000000000
--- a/data/hfopenllm_v2/Rakuten/RakutenAI-2.0-mini-instruct/549f9869-4b59-469b-b9fd-ea26114405a1.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Rakuten_RakutenAI-2.0-mini-instruct/1762652579.850244",
-  "retrieved_timestamp": "1762652579.850244",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Rakuten/RakutenAI-2.0-mini-instruct",
-    "developer": "Rakuten",
-    "inference_platform": "unknown",
-    "id": "Rakuten/RakutenAI-2.0-mini-instruct",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 1.535
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6793906833867471
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2867197270809481
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.05211480362537765
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.26677852348993286
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3249166666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11178523936170212
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Rakuten/RakutenAI-2.0-mini-instruct/90f007e9-e323-4a82-b276-ac1b928030ca.json b/data/hfopenllm_v2/Rakuten/RakutenAI-2.0-mini-instruct/90f007e9-e323-4a82-b276-ac1b928030ca.json
new file mode 100644
index 000000000..559b245ad
--- /dev/null
+++ b/data/hfopenllm_v2/Rakuten/RakutenAI-2.0-mini-instruct/90f007e9-e323-4a82-b276-ac1b928030ca.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Rakuten_RakutenAI-2.0-mini-instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "RakutenAI-2.0-mini-instruct",
+    "id": "Rakuten/RakutenAI-2.0-mini-instruct",
+    "developer": "Rakuten",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 1.535
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6794
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2867
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0521
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2668
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3249
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1118
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Rakuten/RakutenAI-7B-chat/2b627f93-5cc7-4a5e-b682-d129396362e5.json b/data/hfopenllm_v2/Rakuten/RakutenAI-7B-chat/2b627f93-5cc7-4a5e-b682-d129396362e5.json
new file mode 100644
index 000000000..29a9ba71c
--- /dev/null
+++ b/data/hfopenllm_v2/Rakuten/RakutenAI-7B-chat/2b627f93-5cc7-4a5e-b682-d129396362e5.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Rakuten_RakutenAI-7B-chat/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "RakutenAI-7B-chat",
+    "id": "Rakuten/RakutenAI-7B-chat",
+    "developer": "Rakuten",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.373
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2686
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4316
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0295
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2567
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.379
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2798
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Rakuten/RakutenAI-7B-chat/91e22241-7b65-44b9-a437-34b56400af7a.json b/data/hfopenllm_v2/Rakuten/RakutenAI-7B-chat/91e22241-7b65-44b9-a437-34b56400af7a.json
deleted file mode 100644
index fee0e2c1a..000000000
--- a/data/hfopenllm_v2/Rakuten/RakutenAI-7B-chat/91e22241-7b65-44b9-a437-34b56400af7a.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Rakuten_RakutenAI-7B-chat/1762652579.850715",
-  "retrieved_timestamp": "1762652579.8507159",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Rakuten/RakutenAI-7B-chat",
-    "developer": "Rakuten",
-    "inference_platform": "unknown",
-    "id": "Rakuten/RakutenAI-7B-chat",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.373
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.26855521128383797
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4316204035758174
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.02945619335347432
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.25671140939597314
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37895833333333334
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2798371010638298
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Rakuten/RakutenAI-7B/2fde07ac-d218-4cc6-947e-8ceb87eedbee.json b/data/hfopenllm_v2/Rakuten/RakutenAI-7B/2fde07ac-d218-4cc6-947e-8ceb87eedbee.json
new file mode 100644
index 000000000..7c3ef32cc
--- /dev/null
+++ b/data/hfopenllm_v2/Rakuten/RakutenAI-7B/2fde07ac-d218-4cc6-947e-8ceb87eedbee.json
@@ -0,0 +1,132 @@
+{
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+  "evaluation_id": "hfopenllm_v2/Rakuten_RakutenAI-7B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
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+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "RakutenAI-7B",
+    "id": "Rakuten/RakutenAI-7B",
+    "developer": "Rakuten",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.373
+    }
+  },
+  "evaluation_results": [
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
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+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
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+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4315
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "max_score": 1.0
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+        "hf_repo": "Idavidrein/gpqa"
+      },
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+        "max_score": 1.0
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
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+        "evaluation_description": "Accuracy on MUSR",
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Rakuten/RakutenAI-7B/cab9a80e-94a6-4e7b-8980-1fa4482bac8a.json b/data/hfopenllm_v2/Rakuten/RakutenAI-7B/cab9a80e-94a6-4e7b-8980-1fa4482bac8a.json
deleted file mode 100644
index a79f38553..000000000
--- a/data/hfopenllm_v2/Rakuten/RakutenAI-7B/cab9a80e-94a6-4e7b-8980-1fa4482bac8a.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "source_data": [
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-    "source_name": "HF Open LLM v2",
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-    "developer": "Rakuten",
-    "inference_platform": "unknown",
-    "id": "Rakuten/RakutenAI-7B",
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-      "params_billions": 7.373
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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diff --git a/data/hfopenllm_v2/Replete-AI/L3-Pneuma-8B/2a141bfe-4632-4058-a232-1f2c5540c41f.json b/data/hfopenllm_v2/Replete-AI/L3-Pneuma-8B/2a141bfe-4632-4058-a232-1f2c5540c41f.json
new file mode 100644
index 000000000..4c2435507
--- /dev/null
+++ b/data/hfopenllm_v2/Replete-AI/L3-Pneuma-8B/2a141bfe-4632-4058-a232-1f2c5540c41f.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Replete-AI_L3-Pneuma-8B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "L3-Pneuma-8B",
+    "id": "Replete-AI/L3-Pneuma-8B",
+    "developer": "Replete-AI",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2413
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4909
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0544
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.318
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4105
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3176
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Replete-AI/L3-Pneuma-8B/5eddb8a8-7281-4ae2-a4bc-f174598727e3.json b/data/hfopenllm_v2/Replete-AI/L3-Pneuma-8B/5eddb8a8-7281-4ae2-a4bc-f174598727e3.json
deleted file mode 100644
index 334df8656..000000000
--- a/data/hfopenllm_v2/Replete-AI/L3-Pneuma-8B/5eddb8a8-7281-4ae2-a4bc-f174598727e3.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/Replete-AI_L3-Pneuma-8B/1762652579.85093",
-  "retrieved_timestamp": "1762652579.850931",
-  "source_data": [
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-  ],
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Replete-AI/L3-Pneuma-8B",
-    "developer": "Replete-AI",
-    "inference_platform": "unknown",
-    "id": "Replete-AI/L3-Pneuma-8B",
-    "additional_details": {
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-      "params_billions": 8.03
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-      "evaluation_name": "IFEval",
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-        "min_score": 0,
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-    {
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-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-    {
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-        "lower_is_better": false,
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-    },
-    {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-}
diff --git a/data/hfopenllm_v2/Replete-AI/L3.1-Pneuma-8B/d20e8883-4cde-45dc-9d60-10284a2a5cdb.json b/data/hfopenllm_v2/Replete-AI/L3.1-Pneuma-8B/d20e8883-4cde-45dc-9d60-10284a2a5cdb.json
deleted file mode 100644
index 20dc34cb7..000000000
--- a/data/hfopenllm_v2/Replete-AI/L3.1-Pneuma-8B/d20e8883-4cde-45dc-9d60-10284a2a5cdb.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Replete-AI_L3.1-Pneuma-8B/1762652579.851203",
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-  "source_data": [
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
-    "name": "Replete-AI/L3.1-Pneuma-8B",
-    "developer": "Replete-AI",
-    "inference_platform": "unknown",
-    "id": "Replete-AI/L3.1-Pneuma-8B",
-    "additional_details": {
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-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
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-  "evaluation_results": [
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diff --git a/data/hfopenllm_v2/Replete-AI/L3.1-Pneuma-8B/fa2d74a5-e8f6-4a1c-9310-a9b16c2e59d1.json b/data/hfopenllm_v2/Replete-AI/L3.1-Pneuma-8B/fa2d74a5-e8f6-4a1c-9310-a9b16c2e59d1.json
new file mode 100644
index 000000000..dc4c32906
--- /dev/null
+++ b/data/hfopenllm_v2/Replete-AI/L3.1-Pneuma-8B/fa2d74a5-e8f6-4a1c-9310-a9b16c2e59d1.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Replete-AI_L3.1-Pneuma-8B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "L3.1-Pneuma-8B",
+    "id": "Replete-AI/L3.1-Pneuma-8B",
+    "developer": "Replete-AI",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+      "score_details": {
+        "score": 0.7076
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.505
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2198
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3029
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3871
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3691
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Replete-AI/Llama3-8B-Instruct-Replete-Adapted/861d8edd-2acf-4593-9768-8f77488ce8a4.json b/data/hfopenllm_v2/Replete-AI/Llama3-8B-Instruct-Replete-Adapted/861d8edd-2acf-4593-9768-8f77488ce8a4.json
deleted file mode 100644
index 6e91f5b65..000000000
--- a/data/hfopenllm_v2/Replete-AI/Llama3-8B-Instruct-Replete-Adapted/861d8edd-2acf-4593-9768-8f77488ce8a4.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Replete-AI_Llama3-8B-Instruct-Replete-Adapted/1762652579.8514109",
-  "retrieved_timestamp": "1762652579.851412",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Replete-AI/Llama3-8B-Instruct-Replete-Adapted",
-    "developer": "Replete-AI",
-    "inference_platform": "unknown",
-    "id": "Replete-AI/Llama3-8B-Instruct-Replete-Adapted",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.0
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6915306941138402
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.48702618293318983
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.07099697885196375
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.28104026845637586
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.36339583333333336
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3390957446808511
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Replete-AI/Llama3-8B-Instruct-Replete-Adapted/c7c0ceff-9273-4cc3-8f8e-bd93181590ba.json b/data/hfopenllm_v2/Replete-AI/Llama3-8B-Instruct-Replete-Adapted/c7c0ceff-9273-4cc3-8f8e-bd93181590ba.json
new file mode 100644
index 000000000..1449f9a9c
--- /dev/null
+++ b/data/hfopenllm_v2/Replete-AI/Llama3-8B-Instruct-Replete-Adapted/c7c0ceff-9273-4cc3-8f8e-bd93181590ba.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Replete-AI_Llama3-8B-Instruct-Replete-Adapted/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama3-8B-Instruct-Replete-Adapted",
+    "id": "Replete-AI/Llama3-8B-Instruct-Replete-Adapted",
+    "developer": "Replete-AI",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.0
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6915
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.487
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.071
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.281
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3634
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3391
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Replete-AI/Replete-Coder-Instruct-8b-Merged/398e665d-af8e-420c-95ce-5f9f4a4988af.json b/data/hfopenllm_v2/Replete-AI/Replete-Coder-Instruct-8b-Merged/398e665d-af8e-420c-95ce-5f9f4a4988af.json
deleted file mode 100644
index 80ab5d793..000000000
--- a/data/hfopenllm_v2/Replete-AI/Replete-Coder-Instruct-8b-Merged/398e665d-af8e-420c-95ce-5f9f4a4988af.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Replete-AI_Replete-Coder-Instruct-8b-Merged/1762652579.851615",
-  "retrieved_timestamp": "1762652579.851616",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Replete-AI/Replete-Coder-Instruct-8b-Merged",
-    "developer": "Replete-AI",
-    "inference_platform": "unknown",
-    "id": "Replete-AI/Replete-Coder-Instruct-8b-Merged",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5387571643239937
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4461693860075828
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.07779456193353475
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.26929530201342283
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.36603125
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.18051861702127658
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Replete-AI/Replete-Coder-Instruct-8b-Merged/c439478a-1734-4038-aa8b-bb2d12ec022d.json b/data/hfopenllm_v2/Replete-AI/Replete-Coder-Instruct-8b-Merged/c439478a-1734-4038-aa8b-bb2d12ec022d.json
new file mode 100644
index 000000000..f5afd447c
--- /dev/null
+++ b/data/hfopenllm_v2/Replete-AI/Replete-Coder-Instruct-8b-Merged/c439478a-1734-4038-aa8b-bb2d12ec022d.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Replete-AI_Replete-Coder-Instruct-8b-Merged/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Replete-Coder-Instruct-8b-Merged",
+    "id": "Replete-AI/Replete-Coder-Instruct-8b-Merged",
+    "developer": "Replete-AI",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5388
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4462
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0778
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2693
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.366
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1805
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Replete-AI/Replete-Coder-Llama3-8B/4a36f73a-9495-4ea2-863c-220b8ca6bf99.json b/data/hfopenllm_v2/Replete-AI/Replete-Coder-Llama3-8B/4a36f73a-9495-4ea2-863c-220b8ca6bf99.json
new file mode 100644
index 000000000..c28e41a33
--- /dev/null
+++ b/data/hfopenllm_v2/Replete-AI/Replete-Coder-Llama3-8B/4a36f73a-9495-4ea2-863c-220b8ca6bf99.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Replete-AI_Replete-Coder-Llama3-8B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Replete-Coder-Llama3-8B",
+    "id": "Replete-AI/Replete-Coder-Llama3-8B",
+    "developer": "Replete-AI",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4729
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
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diff --git a/data/hfopenllm_v2/Replete-AI/Replete-Coder-Qwen2-1.5b/faa9d3b9-343a-4a9e-82c5-6bc81bc87b9c.json b/data/hfopenllm_v2/Replete-AI/Replete-Coder-Qwen2-1.5b/faa9d3b9-343a-4a9e-82c5-6bc81bc87b9c.json
new file mode 100644
index 000000000..5845dc173
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diff --git a/data/hfopenllm_v2/Replete-AI/Replete-LLM-Qwen2-7b/a55bf380-d567-4228-b30c-57e9df31e844.json b/data/hfopenllm_v2/Replete-AI/Replete-LLM-Qwen2-7b/a55bf380-d567-4228-b30c-57e9df31e844.json
new file mode 100644
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diff --git a/data/hfopenllm_v2/Replete-AI/Replete-LLM-Qwen2-7b/dfd92311-4f3d-4355-8ccf-a59f29914b8f.json b/data/hfopenllm_v2/Replete-AI/Replete-LLM-Qwen2-7b/dfd92311-4f3d-4355-8ccf-a59f29914b8f.json
new file mode 100644
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diff --git a/data/hfopenllm_v2/Replete-AI/Replete-LLM-Qwen2-7b_Beta-Preview/d98e190e-5b5f-46eb-b701-e32d2dbef3a0.json b/data/hfopenllm_v2/Replete-AI/Replete-LLM-Qwen2-7b_Beta-Preview/d98e190e-5b5f-46eb-b701-e32d2dbef3a0.json
new file mode 100644
index 000000000..43cd838cf
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diff --git a/data/hfopenllm_v2/Replete-AI/Replete-LLM-V2-Llama-3.1-8b/32edb764-2a42-4efe-ac86-9eda81942b84.json b/data/hfopenllm_v2/Replete-AI/Replete-LLM-V2-Llama-3.1-8b/32edb764-2a42-4efe-ac86-9eda81942b84.json
new file mode 100644
index 000000000..f78d9e7b1
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+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
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+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Replete-LLM-V2-Llama-3.1-8b",
+    "id": "Replete-AI/Replete-LLM-V2-Llama-3.1-8b",
+    "developer": "Replete-AI",
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+      "architecture": "LlamaForCausalLM",
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+    }
+  },
+  "evaluation_results": [
+    {
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+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5515
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5339
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1405
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3138
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4001
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3753
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/RezVortex/JAJUKA-WEWILLNEVERFORGETYOU-3B/36855ebd-2030-4d5d-9c42-ca049244e694.json b/data/hfopenllm_v2/RezVortex/JAJUKA-WEWILLNEVERFORGETYOU-3B/36855ebd-2030-4d5d-9c42-ca049244e694.json
new file mode 100644
index 000000000..bf5d8960d
--- /dev/null
+++ b/data/hfopenllm_v2/RezVortex/JAJUKA-WEWILLNEVERFORGETYOU-3B/36855ebd-2030-4d5d-9c42-ca049244e694.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/RezVortex_JAJUKA-WEWILLNEVERFORGETYOU-3B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "JAJUKA-WEWILLNEVERFORGETYOU-3B",
+    "id": "RezVortex/JAJUKA-WEWILLNEVERFORGETYOU-3B",
+    "developer": "RezVortex",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 3.213
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6858
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4619
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
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+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2576
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.363
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3143
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/RezVortex/JAJUKA-WEWILLNEVERFORGETYOU-3B/76f26fef-fa87-4cf5-a317-ea4b743e7432.json b/data/hfopenllm_v2/RezVortex/JAJUKA-WEWILLNEVERFORGETYOU-3B/76f26fef-fa87-4cf5-a317-ea4b743e7432.json
deleted file mode 100644
index 859a20861..000000000
--- a/data/hfopenllm_v2/RezVortex/JAJUKA-WEWILLNEVERFORGETYOU-3B/76f26fef-fa87-4cf5-a317-ea4b743e7432.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/RezVortex_JAJUKA-WEWILLNEVERFORGETYOU-3B/1762652579.853197",
-  "retrieved_timestamp": "1762652579.853197",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "RezVortex/JAJUKA-WEWILLNEVERFORGETYOU-3B",
-    "developer": "RezVortex",
-    "inference_platform": "unknown",
-    "id": "RezVortex/JAJUKA-WEWILLNEVERFORGETYOU-3B",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 3.213
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6858103166265509
-      }
-    },
-    {
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-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.46189139399865614
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-    },
-    {
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-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2575503355704698
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.36302083333333335
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3143284574468085
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/RezVortex/Jajuka-3b/9651a0a1-4004-42f3-ad8f-2aebb38ec967.json b/data/hfopenllm_v2/RezVortex/Jajuka-3b/9651a0a1-4004-42f3-ad8f-2aebb38ec967.json
new file mode 100644
index 000000000..797c96c6d
--- /dev/null
+++ b/data/hfopenllm_v2/RezVortex/Jajuka-3b/9651a0a1-4004-42f3-ad8f-2aebb38ec967.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/RezVortex_Jajuka-3b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Jajuka-3b",
+    "id": "RezVortex/Jajuka-3b",
+    "developer": "RezVortex",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 3.213
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6925
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4594
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1594
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2659
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3671
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3137
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/RezVortex/Jajuka-3b/a41d111c-dd5d-4f77-b52d-9a2dc9f31e50.json b/data/hfopenllm_v2/RezVortex/Jajuka-3b/a41d111c-dd5d-4f77-b52d-9a2dc9f31e50.json
deleted file mode 100644
index 7c6ed8615..000000000
--- a/data/hfopenllm_v2/RezVortex/Jajuka-3b/a41d111c-dd5d-4f77-b52d-9a2dc9f31e50.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/RezVortex_Jajuka-3b/1762652579.85344",
-  "retrieved_timestamp": "1762652579.853441",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "RezVortex/Jajuka-3b",
-    "developer": "RezVortex",
-    "inference_platform": "unknown",
-    "id": "RezVortex/Jajuka-3b",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 3.213
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6925047762159957
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1593655589123867
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.26593959731543626
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3670833333333334
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3137466755319149
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Ro-xe/FMixIA-7B-DARE-0/93930443-dc12-422f-9920-470917ef8d7d.json b/data/hfopenllm_v2/Ro-xe/FMixIA-7B-DARE-0/93930443-dc12-422f-9920-470917ef8d7d.json
deleted file mode 100644
index bfde64932..000000000
--- a/data/hfopenllm_v2/Ro-xe/FMixIA-7B-DARE-0/93930443-dc12-422f-9920-470917ef8d7d.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Ro-xe_FMixIA-7B-DARE-0/1762652579.8536398",
-  "retrieved_timestamp": "1762652579.853641",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-        "score_type": "continuous",
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diff --git a/data/hfopenllm_v2/Ro-xe/FMixIA-7B-DARE-0/a59e55dc-e2b5-43be-8469-49eee0e98d55.json b/data/hfopenllm_v2/Ro-xe/FMixIA-7B-DARE-0/a59e55dc-e2b5-43be-8469-49eee0e98d55.json
new file mode 100644
index 000000000..b2648eb78
--- /dev/null
+++ b/data/hfopenllm_v2/Ro-xe/FMixIA-7B-DARE-0/a59e55dc-e2b5-43be-8469-49eee0e98d55.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Ro-xe_FMixIA-7B-DARE-0/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "FMixIA-7B-DARE-0",
+    "id": "Ro-xe/FMixIA-7B-DARE-0",
+    "developer": "Ro-xe",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
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+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
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+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5035
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2894
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4545
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3016
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Ro-xe/FMixIA-7B-SLERP-27/7f08546a-3f05-4612-879c-3f293daeabd4.json b/data/hfopenllm_v2/Ro-xe/FMixIA-7B-SLERP-27/7f08546a-3f05-4612-879c-3f293daeabd4.json
deleted file mode 100644
index 7e70bcbf7..000000000
--- a/data/hfopenllm_v2/Ro-xe/FMixIA-7B-SLERP-27/7f08546a-3f05-4612-879c-3f293daeabd4.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
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-    "developer": "Ro-xe",
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-    "id": "Ro-xe/FMixIA-7B-SLERP-27",
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-  },
-  "evaluation_results": [
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-        "lower_is_better": false,
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-    {
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-        "lower_is_better": false,
-        "score_type": "continuous",
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-        "max_score": 1
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-    {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-      "score_details": {
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Ro-xe/FMixIA-7B-SLERP-27/a956e306-f184-4dbc-ac7a-3793ae735801.json b/data/hfopenllm_v2/Ro-xe/FMixIA-7B-SLERP-27/a956e306-f184-4dbc-ac7a-3793ae735801.json
new file mode 100644
index 000000000..f8798e128
--- /dev/null
+++ b/data/hfopenllm_v2/Ro-xe/FMixIA-7B-SLERP-27/a956e306-f184-4dbc-ac7a-3793ae735801.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Ro-xe_FMixIA-7B-SLERP-27/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "FMixIA-7B-SLERP-27",
+    "id": "Ro-xe/FMixIA-7B-SLERP-27",
+    "developer": "Ro-xe",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3765
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5151
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0634
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2953
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4412
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3008
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Ro-xe/FMixIA-7B-TIES-1/b5d64806-0d01-4c99-9ba6-6aff88c894bd.json b/data/hfopenllm_v2/Ro-xe/FMixIA-7B-TIES-1/b5d64806-0d01-4c99-9ba6-6aff88c894bd.json
deleted file mode 100644
index 3af129076..000000000
--- a/data/hfopenllm_v2/Ro-xe/FMixIA-7B-TIES-1/b5d64806-0d01-4c99-9ba6-6aff88c894bd.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "retrieved_timestamp": "1762652579.8540852",
-  "source_data": [
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-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Ro-xe/FMixIA-7B-TIES-1",
-    "developer": "Ro-xe",
-    "inference_platform": "unknown",
-    "id": "Ro-xe/FMixIA-7B-TIES-1",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.34529160405501846
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-    },
-    {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.28859060402684567
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.46890625
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2992021276595745
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Ro-xe/FMixIA-7B-TIES-1/c05cc6ce-12fd-491d-b41b-57cc14b6d34a.json b/data/hfopenllm_v2/Ro-xe/FMixIA-7B-TIES-1/c05cc6ce-12fd-491d-b41b-57cc14b6d34a.json
new file mode 100644
index 000000000..1a47f9d40
--- /dev/null
+++ b/data/hfopenllm_v2/Ro-xe/FMixIA-7B-TIES-1/c05cc6ce-12fd-491d-b41b-57cc14b6d34a.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Ro-xe_FMixIA-7B-TIES-1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "FMixIA-7B-TIES-1",
+    "id": "Ro-xe/FMixIA-7B-TIES-1",
+    "developer": "Ro-xe",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3453
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5092
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0566
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2886
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4689
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2992
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Ro-xe/FMixIA-FrankenMerge-9.5B-PT-9/0d1c7e5e-4ddf-447b-9581-c62cedc2fedc.json b/data/hfopenllm_v2/Ro-xe/FMixIA-FrankenMerge-9.5B-PT-9/0d1c7e5e-4ddf-447b-9581-c62cedc2fedc.json
deleted file mode 100644
index de5948a33..000000000
--- a/data/hfopenllm_v2/Ro-xe/FMixIA-FrankenMerge-9.5B-PT-9/0d1c7e5e-4ddf-447b-9581-c62cedc2fedc.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Ro-xe_FMixIA-FrankenMerge-9.5B-PT-9/1762652579.8542862",
-  "retrieved_timestamp": "1762652579.8542871",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Ro-xe/FMixIA-FrankenMerge-9.5B-PT-9",
-    "developer": "Ro-xe",
-    "inference_platform": "unknown",
-    "id": "Ro-xe/FMixIA-FrankenMerge-9.5B-PT-9",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 14.141
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.19401632113902223
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5087851148631056
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.0030211480362537764
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30788590604026844
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41703124999999996
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.36569148936170215
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Ro-xe/FMixIA-FrankenMerge-9.5B-PT-9/415875b7-fe10-47e7-aca0-029c2f51c067.json b/data/hfopenllm_v2/Ro-xe/FMixIA-FrankenMerge-9.5B-PT-9/415875b7-fe10-47e7-aca0-029c2f51c067.json
new file mode 100644
index 000000000..2f038af4f
--- /dev/null
+++ b/data/hfopenllm_v2/Ro-xe/FMixIA-FrankenMerge-9.5B-PT-9/415875b7-fe10-47e7-aca0-029c2f51c067.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Ro-xe_FMixIA-FrankenMerge-9.5B-PT-9/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "FMixIA-FrankenMerge-9.5B-PT-9",
+    "id": "Ro-xe/FMixIA-FrankenMerge-9.5B-PT-9",
+    "developer": "Ro-xe",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.141
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.194
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5088
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.003
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3079
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.417
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3657
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Rombo-Org/Rombo-LLM-V2.5-Qwen-7b/c505ee64-3d3b-48e2-9c8a-f59609a758e9.json b/data/hfopenllm_v2/Rombo-Org/Rombo-LLM-V2.5-Qwen-7b/c505ee64-3d3b-48e2-9c8a-f59609a758e9.json
new file mode 100644
index 000000000..92335ffa4
--- /dev/null
+++ b/data/hfopenllm_v2/Rombo-Org/Rombo-LLM-V2.5-Qwen-7b/c505ee64-3d3b-48e2-9c8a-f59609a758e9.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Rombo-Org_Rombo-LLM-V2.5-Qwen-7b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Rombo-LLM-V2.5-Qwen-7b",
+    "id": "Rombo-Org/Rombo-LLM-V2.5-Qwen-7b",
+    "developer": "Rombo-Org",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7482
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.54
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5068
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3012
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.398
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4283
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/RubielLabarta/LogoS-7Bx2-MoE-13B-v0.2/00003185-c291-40c5-bba1-f87eae0afc08.json b/data/hfopenllm_v2/RubielLabarta/LogoS-7Bx2-MoE-13B-v0.2/00003185-c291-40c5-bba1-f87eae0afc08.json
new file mode 100644
index 000000000..14bcc9da2
--- /dev/null
+++ b/data/hfopenllm_v2/RubielLabarta/LogoS-7Bx2-MoE-13B-v0.2/00003185-c291-40c5-bba1-f87eae0afc08.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/RubielLabarta_LogoS-7Bx2-MoE-13B-v0.2/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "LogoS-7Bx2-MoE-13B-v0.2",
+    "id": "RubielLabarta/LogoS-7Bx2-MoE-13B-v0.2",
+    "developer": "RubielLabarta",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MixtralForCausalLM",
+      "params_billions": 12.879
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4379
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5207
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0574
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2777
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4226
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3088
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/RubielLabarta/LogoS-7Bx2-MoE-13B-v0.2/63522d1e-d4bf-4071-a086-5ef016243ec1.json b/data/hfopenllm_v2/RubielLabarta/LogoS-7Bx2-MoE-13B-v0.2/63522d1e-d4bf-4071-a086-5ef016243ec1.json
deleted file mode 100644
index 4b072007a..000000000
--- a/data/hfopenllm_v2/RubielLabarta/LogoS-7Bx2-MoE-13B-v0.2/63522d1e-d4bf-4071-a086-5ef016243ec1.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/RubielLabarta_LogoS-7Bx2-MoE-13B-v0.2/1762652579.85476",
-  "retrieved_timestamp": "1762652579.85476",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "RubielLabarta/LogoS-7Bx2-MoE-13B-v0.2",
-    "developer": "RubielLabarta",
-    "inference_platform": "unknown",
-    "id": "RubielLabarta/LogoS-7Bx2-MoE-13B-v0.2",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MixtralForCausalLM",
-      "params_billions": 12.879
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4378903531518593
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-    },
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diff --git a/data/hfopenllm_v2/SaisExperiments/Evil-Alpaca-3B-L3.2/328f61d7-677b-4a06-b464-0da42153f9ae.json b/data/hfopenllm_v2/SaisExperiments/Evil-Alpaca-3B-L3.2/328f61d7-677b-4a06-b464-0da42153f9ae.json
new file mode 100644
index 000000000..2ee369a00
--- /dev/null
+++ b/data/hfopenllm_v2/SaisExperiments/Evil-Alpaca-3B-L3.2/328f61d7-677b-4a06-b464-0da42153f9ae.json
@@ -0,0 +1,132 @@
+{
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+  "source_metadata": {
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+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
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+    "id": "SaisExperiments/Evil-Alpaca-3B-L3.2",
+    "developer": "SaisExperiments",
+    "inference_platform": "unknown",
+    "additional_details": {
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+      "architecture": "LlamaForCausalLM",
+      "params_billions": 3.213
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+        "hf_repo": "SaylorTwift/bbh"
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+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
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+        "evaluation_description": "Exact Match on MATH Level 5",
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+      },
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+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
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+      },
+      "score_details": {
+        "score": 0.2621
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/SaisExperiments/Evil-Alpaca-3B-L3.2/f9c7c5b5-6274-4971-a81a-6f88ec07ca93.json b/data/hfopenllm_v2/SaisExperiments/Evil-Alpaca-3B-L3.2/f9c7c5b5-6274-4971-a81a-6f88ec07ca93.json
deleted file mode 100644
index 3b947f14f..000000000
--- a/data/hfopenllm_v2/SaisExperiments/Evil-Alpaca-3B-L3.2/f9c7c5b5-6274-4971-a81a-6f88ec07ca93.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/SaisExperiments/Gemma-2-2B-Opus-Instruct/369f84c6-022e-46ed-8cfc-2e0b4a8e175a.json b/data/hfopenllm_v2/SaisExperiments/Gemma-2-2B-Opus-Instruct/369f84c6-022e-46ed-8cfc-2e0b4a8e175a.json
deleted file mode 100644
index c24cd0eeb..000000000
--- a/data/hfopenllm_v2/SaisExperiments/Gemma-2-2B-Opus-Instruct/369f84c6-022e-46ed-8cfc-2e0b4a8e175a.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/SaisExperiments/Gemma-2-2B-Opus-Instruct/9cb5b8fd-062c-4161-9301-640980d21b9f.json b/data/hfopenllm_v2/SaisExperiments/Gemma-2-2B-Opus-Instruct/9cb5b8fd-062c-4161-9301-640980d21b9f.json
new file mode 100644
index 000000000..b9f60ffdb
--- /dev/null
+++ b/data/hfopenllm_v2/SaisExperiments/Gemma-2-2B-Opus-Instruct/9cb5b8fd-062c-4161-9301-640980d21b9f.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/SaisExperiments_Gemma-2-2B-Opus-Instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Gemma-2-2B-Opus-Instruct",
+    "id": "SaisExperiments/Gemma-2-2B-Opus-Instruct",
+    "developer": "SaisExperiments",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Gemma2ForCausalLM",
+      "params_billions": 2.614
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.475
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4293
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+        "score": 0.0506
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4057
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.265
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/SaisExperiments/Gemma-2-2B-Stheno-Filtered/09284b75-a2f9-40ea-8135-7aa61c626fa2.json b/data/hfopenllm_v2/SaisExperiments/Gemma-2-2B-Stheno-Filtered/09284b75-a2f9-40ea-8135-7aa61c626fa2.json
new file mode 100644
index 000000000..cef011e36
--- /dev/null
+++ b/data/hfopenllm_v2/SaisExperiments/Gemma-2-2B-Stheno-Filtered/09284b75-a2f9-40ea-8135-7aa61c626fa2.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/SaisExperiments_Gemma-2-2B-Stheno-Filtered/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Gemma-2-2B-Stheno-Filtered",
+    "id": "SaisExperiments/Gemma-2-2B-Stheno-Filtered",
+    "developer": "SaisExperiments",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Gemma2ForCausalLM",
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+  "evaluation_results": [
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+      },
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+    },
+    {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+      "score_details": {
+        "score": 0.4149
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+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
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+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/SaisExperiments/Not-So-Small-Alpaca-24B/98275290-dbd0-462e-9028-4daa65cd5ce3.json b/data/hfopenllm_v2/SaisExperiments/Not-So-Small-Alpaca-24B/98275290-dbd0-462e-9028-4daa65cd5ce3.json
deleted file mode 100644
index 6f788446c..000000000
--- a/data/hfopenllm_v2/SaisExperiments/Not-So-Small-Alpaca-24B/98275290-dbd0-462e-9028-4daa65cd5ce3.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
-    "name": "SaisExperiments/Not-So-Small-Alpaca-24B",
-    "developer": "SaisExperiments",
-    "inference_platform": "unknown",
-    "id": "SaisExperiments/Not-So-Small-Alpaca-24B",
-    "additional_details": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
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-        "max_score": 1
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-    {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-}
diff --git a/data/hfopenllm_v2/SaisExperiments/Not-So-Small-Alpaca-24B/e2502331-6ac3-43bc-8218-259b44333283.json b/data/hfopenllm_v2/SaisExperiments/Not-So-Small-Alpaca-24B/e2502331-6ac3-43bc-8218-259b44333283.json
new file mode 100644
index 000000000..f23479676
--- /dev/null
+++ b/data/hfopenllm_v2/SaisExperiments/Not-So-Small-Alpaca-24B/e2502331-6ac3-43bc-8218-259b44333283.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/SaisExperiments_Not-So-Small-Alpaca-24B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Not-So-Small-Alpaca-24B",
+    "id": "SaisExperiments/Not-So-Small-Alpaca-24B",
+    "developer": "SaisExperiments",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 23.572
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6244
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5339
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1828
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+    },
+    {
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+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3591
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4282
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3694
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/SaisExperiments/QwOwO-7B-V1/8dde454d-aa48-4ee1-b5c6-f3353087d492.json b/data/hfopenllm_v2/SaisExperiments/QwOwO-7B-V1/8dde454d-aa48-4ee1-b5c6-f3353087d492.json
new file mode 100644
index 000000000..858e45e66
--- /dev/null
+++ b/data/hfopenllm_v2/SaisExperiments/QwOwO-7B-V1/8dde454d-aa48-4ee1-b5c6-f3353087d492.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/SaisExperiments_QwOwO-7B-V1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "QwOwO-7B-V1",
+    "id": "SaisExperiments/QwOwO-7B-V1",
+    "developer": "SaisExperiments",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4556
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5431
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.386
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2601
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3835
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+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4224
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/SaisExperiments/QwOwO-7B-V1/9064bdc6-b84b-4022-9d7a-63b1b76fc1bc.json b/data/hfopenllm_v2/SaisExperiments/QwOwO-7B-V1/9064bdc6-b84b-4022-9d7a-63b1b76fc1bc.json
deleted file mode 100644
index 55ae125ed..000000000
--- a/data/hfopenllm_v2/SaisExperiments/QwOwO-7B-V1/9064bdc6-b84b-4022-9d7a-63b1b76fc1bc.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/SaisExperiments_QwOwO-7B-V1/1762652579.856126",
-  "retrieved_timestamp": "1762652579.856126",
-  "source_data": [
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "SaisExperiments/QwOwO-7B-V1",
-    "developer": "SaisExperiments",
-    "inference_platform": "unknown",
-    "id": "SaisExperiments/QwOwO-7B-V1",
-    "additional_details": {
-      "precision": "bfloat16",
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-        "score_type": "continuous",
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-        "score_type": "continuous",
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-        "max_score": 1
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-      "score_details": {
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-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-}
diff --git a/data/hfopenllm_v2/SaisExperiments/RightSheep-Llama3.2-3B/662c8ed2-2407-4606-ac1e-ec7ade185d2d.json b/data/hfopenllm_v2/SaisExperiments/RightSheep-Llama3.2-3B/662c8ed2-2407-4606-ac1e-ec7ade185d2d.json
new file mode 100644
index 000000000..8ded05543
--- /dev/null
+++ b/data/hfopenllm_v2/SaisExperiments/RightSheep-Llama3.2-3B/662c8ed2-2407-4606-ac1e-ec7ade185d2d.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/SaisExperiments_RightSheep-Llama3.2-3B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "RightSheep-Llama3.2-3B",
+    "id": "SaisExperiments/RightSheep-Llama3.2-3B",
+    "developer": "SaisExperiments",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 3.213
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+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+      "score_details": {
+        "score": 0.4156
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+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
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+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
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+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4241
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+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
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+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+        "score": 0.0808
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+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2869
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+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3767
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+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
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+        "evaluation_description": "Accuracy on MMLU-PRO",
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+        "score": 0.254
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Sakalti/Anemoi-3B/332aef8c-7c62-463e-ba3c-07ae0205d457.json b/data/hfopenllm_v2/Sakalti/Anemoi-3B/332aef8c-7c62-463e-ba3c-07ae0205d457.json
new file mode 100644
index 000000000..311f81095
--- /dev/null
+++ b/data/hfopenllm_v2/Sakalti/Anemoi-3B/332aef8c-7c62-463e-ba3c-07ae0205d457.json
@@ -0,0 +1,132 @@
+{
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+  "evaluation_id": "hfopenllm_v2/Sakalti_Anemoi-3B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Anemoi-3B",
+    "id": "Sakalti/Anemoi-3B",
+    "developer": "Sakalti",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 3.397
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3804
+      }
+    },
+    {
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+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4922
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
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+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3054
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4371
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3766
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Sakalti/Anemoi-3B/b50b5452-b824-4fd6-b0e4-cdaea09139a2.json b/data/hfopenllm_v2/Sakalti/Anemoi-3B/b50b5452-b824-4fd6-b0e4-cdaea09139a2.json
deleted file mode 100644
index 9d76286e7..000000000
--- a/data/hfopenllm_v2/Sakalti/Anemoi-3B/b50b5452-b824-4fd6-b0e4-cdaea09139a2.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "retrieved_timestamp": "1762652579.856576",
-  "source_data": [
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-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
-    "name": "Sakalti/Anemoi-3B",
-    "developer": "Sakalti",
-    "inference_platform": "unknown",
-    "id": "Sakalti/Anemoi-3B",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 3.397
-    }
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-  "evaluation_results": [
-    {
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-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-        "score_type": "continuous",
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
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-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-      }
-    },
-    {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Sakalti/Euphrates-14B/cfdfcf21-e445-430e-a295-946cb8c3fce9.json b/data/hfopenllm_v2/Sakalti/Euphrates-14B/cfdfcf21-e445-430e-a295-946cb8c3fce9.json
new file mode 100644
index 000000000..228187fd8
--- /dev/null
+++ b/data/hfopenllm_v2/Sakalti/Euphrates-14B/cfdfcf21-e445-430e-a295-946cb8c3fce9.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Sakalti_Euphrates-14B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Euphrates-14B",
+    "id": "Sakalti/Euphrates-14B",
+    "developer": "Sakalti",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.77
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2647
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6138
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3051
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3935
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4516
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+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5255
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Sakalti/Euphrates-14B/db8c1ba2-4029-45c5-b8a6-5343356266eb.json b/data/hfopenllm_v2/Sakalti/Euphrates-14B/db8c1ba2-4029-45c5-b8a6-5343356266eb.json
deleted file mode 100644
index af4717529..000000000
--- a/data/hfopenllm_v2/Sakalti/Euphrates-14B/db8c1ba2-4029-45c5-b8a6-5343356266eb.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "retrieved_timestamp": "1762652579.8568141",
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-  "source_metadata": {
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
-    "name": "Sakalti/Euphrates-14B",
-    "developer": "Sakalti",
-    "inference_platform": "unknown",
-    "id": "Sakalti/Euphrates-14B",
-    "additional_details": {
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-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 14.77
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-  "evaluation_results": [
-    {
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-        "max_score": 1
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-    {
-      "evaluation_name": "BBH",
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-        "evaluation_description": "Accuracy on BBH",
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-        "score_type": "continuous",
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-      },
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-    {
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-        "score_type": "continuous",
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-    },
-    {
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-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3934563758389262
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
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-        "max_score": 1
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-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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diff --git a/data/hfopenllm_v2/Sakalti/Llama3.2-3B-Uranus-1/a5606b92-aa2d-44e3-a92c-47d0b38fef9c.json b/data/hfopenllm_v2/Sakalti/Llama3.2-3B-Uranus-1/a5606b92-aa2d-44e3-a92c-47d0b38fef9c.json
new file mode 100644
index 000000000..077b4b960
--- /dev/null
+++ b/data/hfopenllm_v2/Sakalti/Llama3.2-3B-Uranus-1/a5606b92-aa2d-44e3-a92c-47d0b38fef9c.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Sakalti_Llama3.2-3B-Uranus-1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama3.2-3B-Uranus-1",
+    "id": "Sakalti/Llama3.2-3B-Uranus-1",
+    "developer": "Sakalti",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 3.213
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5335
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+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+        "score": 0.4437
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+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
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+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
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+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.297
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+    },
+    {
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+      "source_data": {
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+        "hf_repo": "TAUR-Lab/MuSR"
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+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
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+        "max_score": 1.0
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+    {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3094
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Sakalti/Magro-7B-v1.1/465d473c-ef28-4725-8cac-02f2a031b22c.json b/data/hfopenllm_v2/Sakalti/Magro-7B-v1.1/465d473c-ef28-4725-8cac-02f2a031b22c.json
new file mode 100644
index 000000000..748ddb98f
--- /dev/null
+++ b/data/hfopenllm_v2/Sakalti/Magro-7B-v1.1/465d473c-ef28-4725-8cac-02f2a031b22c.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Sakalti_Magro-7B-v1.1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Magro-7B-v1.1",
+    "id": "Sakalti/Magro-7B-v1.1",
+    "developer": "Sakalti",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1204
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4179
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0249
+      }
+    },
+    {
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+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2961
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4433
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2764
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Sakalti/Magro-7B-v1.1/9e6c7958-689f-4437-b81a-c055d53ca33e.json b/data/hfopenllm_v2/Sakalti/Magro-7B-v1.1/9e6c7958-689f-4437-b81a-c055d53ca33e.json
deleted file mode 100644
index a179e8fae..000000000
--- a/data/hfopenllm_v2/Sakalti/Magro-7B-v1.1/9e6c7958-689f-4437-b81a-c055d53ca33e.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Sakalti_Magro-7B-v1.1/1762652579.857256",
-  "retrieved_timestamp": "1762652579.857256",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Sakalti/Magro-7B-v1.1",
-    "developer": "Sakalti",
-    "inference_platform": "unknown",
-    "id": "Sakalti/Magro-7B-v1.1",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1204016454119514
-      }
-    },
-    {
-      "evaluation_name": "BBH",
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41790625208343796
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2961409395973154
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4433229166666666
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.27642952127659576
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Sakalti/Neptuno-3B/2c636544-8676-4eee-8bcd-d623be0275be.json b/data/hfopenllm_v2/Sakalti/Neptuno-3B/2c636544-8676-4eee-8bcd-d623be0275be.json
new file mode 100644
index 000000000..6e3a0d4d0
--- /dev/null
+++ b/data/hfopenllm_v2/Sakalti/Neptuno-3B/2c636544-8676-4eee-8bcd-d623be0275be.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Sakalti_Neptuno-3B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Neptuno-3B",
+    "id": "Sakalti/Neptuno-3B",
+    "developer": "Sakalti",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 3.397
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4296
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4834
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2553
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2961
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4002
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3773
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Sakalti/Neptuno-3B/4c2150fc-f473-4bdc-8823-960778ccbc75.json b/data/hfopenllm_v2/Sakalti/Neptuno-3B/4c2150fc-f473-4bdc-8823-960778ccbc75.json
deleted file mode 100644
index c9ab4eba2..000000000
--- a/data/hfopenllm_v2/Sakalti/Neptuno-3B/4c2150fc-f473-4bdc-8823-960778ccbc75.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Sakalti_Neptuno-3B/1762652579.857454",
-  "retrieved_timestamp": "1762652579.857455",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Sakalti/Neptuno-3B",
-    "developer": "Sakalti",
-    "inference_platform": "unknown",
-    "id": "Sakalti/Neptuno-3B",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 3.397
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42962229107656574
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.48335808848564965
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2552870090634441
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2961409395973154
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.40019791666666665
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3773271276595745
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-}
diff --git a/data/hfopenllm_v2/Sakalti/Neptuno-Alpha/511ac4a5-6fc8-4338-845d-859d73d57678.json b/data/hfopenllm_v2/Sakalti/Neptuno-Alpha/511ac4a5-6fc8-4338-845d-859d73d57678.json
deleted file mode 100644
index e884eb784..000000000
--- a/data/hfopenllm_v2/Sakalti/Neptuno-Alpha/511ac4a5-6fc8-4338-845d-859d73d57678.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Sakalti_Neptuno-Alpha/1762652579.857697",
-  "retrieved_timestamp": "1762652579.857698",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Sakalti/Neptuno-Alpha",
-    "developer": "Sakalti",
-    "inference_platform": "unknown",
-    "id": "Sakalti/Neptuno-Alpha",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 3.397
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3779649108809071
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.49247749379461303
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-    {
-      "evaluation_name": "MATH Level 5",
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-    {
-      "evaluation_name": "GPQA",
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-        "evaluation_description": "Accuracy on GPQA",
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-    {
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-        "evaluation_description": "Accuracy on MUSR",
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-        "score_type": "continuous",
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-      "score_details": {
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-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
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-        "score_type": "continuous",
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-      "score_details": {
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-}
diff --git a/data/hfopenllm_v2/Sakalti/Neptuno-Alpha/8b332fac-1cfa-498b-853a-52ec5492ddc7.json b/data/hfopenllm_v2/Sakalti/Neptuno-Alpha/8b332fac-1cfa-498b-853a-52ec5492ddc7.json
new file mode 100644
index 000000000..c98619fdf
--- /dev/null
+++ b/data/hfopenllm_v2/Sakalti/Neptuno-Alpha/8b332fac-1cfa-498b-853a-52ec5492ddc7.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Sakalti_Neptuno-Alpha/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Neptuno-Alpha",
+    "id": "Sakalti/Neptuno-Alpha",
+    "developer": "Sakalti",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 3.397
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.378
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4925
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1835
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.307
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4371
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3767
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Sakalti/Oxyge1-33B/2bf1b38b-e90b-4fa8-b19e-47d93ff9ab4e.json b/data/hfopenllm_v2/Sakalti/Oxyge1-33B/2bf1b38b-e90b-4fa8-b19e-47d93ff9ab4e.json
new file mode 100644
index 000000000..eb5bc1d97
--- /dev/null
+++ b/data/hfopenllm_v2/Sakalti/Oxyge1-33B/2bf1b38b-e90b-4fa8-b19e-47d93ff9ab4e.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Sakalti_Oxyge1-33B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Oxyge1-33B",
+    "id": "Sakalti/Oxyge1-33B",
+    "developer": "Sakalti",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 32.764
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4548
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7033
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4962
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3826
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5008
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5909
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Sakalti/Oxyge1-33B/ee17e3a4-2036-4e57-9ada-51fe6d23ffac.json b/data/hfopenllm_v2/Sakalti/Oxyge1-33B/ee17e3a4-2036-4e57-9ada-51fe6d23ffac.json
deleted file mode 100644
index 8db19b640..000000000
--- a/data/hfopenllm_v2/Sakalti/Oxyge1-33B/ee17e3a4-2036-4e57-9ada-51fe6d23ffac.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Sakalti_Oxyge1-33B/1762652579.8578959",
-  "retrieved_timestamp": "1762652579.857897",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Sakalti/Oxyge1-33B",
-    "developer": "Sakalti",
-    "inference_platform": "unknown",
-    "id": "Sakalti/Oxyge1-33B",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 32.764
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4548265269484966
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7033278292161169
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4962235649546828
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3825503355704698
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5007812500000001
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5909242021276596
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Sakalti/Phi3.5-Comets-3.8B/69bb0243-75b2-4858-ba6b-5e70cfb516a7.json b/data/hfopenllm_v2/Sakalti/Phi3.5-Comets-3.8B/69bb0243-75b2-4858-ba6b-5e70cfb516a7.json
new file mode 100644
index 000000000..0dfa27332
--- /dev/null
+++ b/data/hfopenllm_v2/Sakalti/Phi3.5-Comets-3.8B/69bb0243-75b2-4858-ba6b-5e70cfb516a7.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Sakalti_Phi3.5-Comets-3.8B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Phi3.5-Comets-3.8B",
+    "id": "Sakalti/Phi3.5-Comets-3.8B",
+    "developer": "Sakalti",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Phi3ForCausalLM",
+      "params_billions": 3.821
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2094
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3335
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0008
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2492
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3764
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1153
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Sakalti/Qwen2.5-1B-Instruct/4bb7e325-8741-4c09-81f6-9efdb30ef5a5.json b/data/hfopenllm_v2/Sakalti/Qwen2.5-1B-Instruct/4bb7e325-8741-4c09-81f6-9efdb30ef5a5.json
new file mode 100644
index 000000000..6c0cb747d
--- /dev/null
+++ b/data/hfopenllm_v2/Sakalti/Qwen2.5-1B-Instruct/4bb7e325-8741-4c09-81f6-9efdb30ef5a5.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Sakalti_Qwen2.5-1B-Instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-1B-Instruct",
+    "id": "Sakalti/Qwen2.5-1B-Instruct",
+    "developer": "Sakalti",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 0.988
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1751
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3027
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.006
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2559
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3369
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1213
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Sakalti/Qwen2.5-1B-Instruct/da01b31f-dde8-45dd-b793-c8258a09ddee.json b/data/hfopenllm_v2/Sakalti/Qwen2.5-1B-Instruct/da01b31f-dde8-45dd-b793-c8258a09ddee.json
deleted file mode 100644
index d0d3af8c3..000000000
--- a/data/hfopenllm_v2/Sakalti/Qwen2.5-1B-Instruct/da01b31f-dde8-45dd-b793-c8258a09ddee.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Sakalti_Qwen2.5-1B-Instruct/1762652579.858331",
-  "retrieved_timestamp": "1762652579.858331",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Sakalti/Qwen2.5-1B-Instruct",
-    "developer": "Sakalti",
-    "inference_platform": "unknown",
-    "id": "Sakalti/Qwen2.5-1B-Instruct",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 0.988
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.17513198313807365
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30271528035563927
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.006042296072507553
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2558724832214765
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.33688541666666666
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.12134308510638298
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Sakalti/QwenTest-7/87878b74-22ce-4554-914c-03e486d13de3.json b/data/hfopenllm_v2/Sakalti/QwenTest-7/87878b74-22ce-4554-914c-03e486d13de3.json
new file mode 100644
index 000000000..5e4bcbff5
--- /dev/null
+++ b/data/hfopenllm_v2/Sakalti/QwenTest-7/87878b74-22ce-4554-914c-03e486d13de3.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Sakalti_QwenTest-7/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "QwenTest-7",
+    "id": "Sakalti/QwenTest-7",
+    "developer": "Sakalti",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 0.988
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1672
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3063
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0038
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2601
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3422
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1212
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Sakalti/SJT-0.5B/5030f8d4-f216-4f78-84f1-dd03b0324bb0.json b/data/hfopenllm_v2/Sakalti/SJT-0.5B/5030f8d4-f216-4f78-84f1-dd03b0324bb0.json
new file mode 100644
index 000000000..8cfc9ba99
--- /dev/null
+++ b/data/hfopenllm_v2/Sakalti/SJT-0.5B/5030f8d4-f216-4f78-84f1-dd03b0324bb0.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Sakalti_SJT-0.5B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "SJT-0.5B",
+    "id": "Sakalti/SJT-0.5B",
+    "developer": "Sakalti",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 0.63
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2425
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3306
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0521
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2718
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3196
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1891
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Sakalti/SJT-0.5B/7763650a-8a37-41f2-aadd-b1db7b41d0b3.json b/data/hfopenllm_v2/Sakalti/SJT-0.5B/7763650a-8a37-41f2-aadd-b1db7b41d0b3.json
deleted file mode 100644
index 0118f9422..000000000
--- a/data/hfopenllm_v2/Sakalti/SJT-0.5B/7763650a-8a37-41f2-aadd-b1db7b41d0b3.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Sakalti_SJT-0.5B/1762652579.858787",
-  "retrieved_timestamp": "1762652579.858787",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Sakalti/SJT-0.5B",
-    "developer": "Sakalti",
-    "inference_platform": "unknown",
-    "id": "Sakalti/SJT-0.5B",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 0.63
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.24247662867857286
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.33055365550588683
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.05211480362537765
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.27181208053691275
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.31958333333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.18907912234042554
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Sakalti/SJT-1.5B-Alpha-1.1/c5e244fd-e85e-4fbb-9703-b8e733fb91bf.json b/data/hfopenllm_v2/Sakalti/SJT-1.5B-Alpha-1.1/c5e244fd-e85e-4fbb-9703-b8e733fb91bf.json
new file mode 100644
index 000000000..b6b2e229c
--- /dev/null
+++ b/data/hfopenllm_v2/Sakalti/SJT-1.5B-Alpha-1.1/c5e244fd-e85e-4fbb-9703-b8e733fb91bf.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Sakalti_SJT-1.5B-Alpha-1.1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "SJT-1.5B-Alpha-1.1",
+    "id": "Sakalti/SJT-1.5B-Alpha-1.1",
+    "developer": "Sakalti",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 1.777
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3439
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4243
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0959
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2894
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4239
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2966
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Sakalti/SJT-1.5B-Alpha-1.1/e3f05df1-a653-41a0-983a-4a7d86b85c60.json b/data/hfopenllm_v2/Sakalti/SJT-1.5B-Alpha-1.1/e3f05df1-a653-41a0-983a-4a7d86b85c60.json
deleted file mode 100644
index 1ff9993a6..000000000
--- a/data/hfopenllm_v2/Sakalti/SJT-1.5B-Alpha-1.1/e3f05df1-a653-41a0-983a-4a7d86b85c60.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Sakalti_SJT-1.5B-Alpha-1.1/1762652579.859199",
-  "retrieved_timestamp": "1762652579.859199",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Sakalti/SJT-1.5B-Alpha-1.1",
-    "developer": "Sakalti",
-    "inference_platform": "unknown",
-    "id": "Sakalti/SJT-1.5B-Alpha-1.1",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 1.777
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3439429602344003
-      }
-    },
-    {
-      "evaluation_name": "BBH",
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diff --git a/data/hfopenllm_v2/Sakalti/SJT-1.5B-Alpha/21472871-fe74-447a-894c-80d77ae4ad0a.json b/data/hfopenllm_v2/Sakalti/SJT-1.5B-Alpha/21472871-fe74-447a-894c-80d77ae4ad0a.json
deleted file mode 100644
index d293cf3bb..000000000
--- a/data/hfopenllm_v2/Sakalti/SJT-1.5B-Alpha/21472871-fe74-447a-894c-80d77ae4ad0a.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Sakalti/SJT-1.5B-Alpha",
-    "developer": "Sakalti",
-    "inference_platform": "unknown",
-    "id": "Sakalti/SJT-1.5B-Alpha",
-    "additional_details": {
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-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 1.777
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-        "max_score": 1
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-      "evaluation_name": "MMLU-PRO",
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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diff --git a/data/hfopenllm_v2/Sakalti/SJT-1.5B-Alpha/38261a01-62df-42b2-9b1d-f924598e70ef.json b/data/hfopenllm_v2/Sakalti/SJT-1.5B-Alpha/38261a01-62df-42b2-9b1d-f924598e70ef.json
new file mode 100644
index 000000000..b438fe370
--- /dev/null
+++ b/data/hfopenllm_v2/Sakalti/SJT-1.5B-Alpha/38261a01-62df-42b2-9b1d-f924598e70ef.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Sakalti_SJT-1.5B-Alpha/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "SJT-1.5B-Alpha",
+    "id": "Sakalti/SJT-1.5B-Alpha",
+    "developer": "Sakalti",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 1.777
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3449
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4241
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+      }
+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2919
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4226
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2961
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Sakalti/SJT-1.7B/5736f0b5-3903-4774-a84a-c3db260d36e4.json b/data/hfopenllm_v2/Sakalti/SJT-1.7B/5736f0b5-3903-4774-a84a-c3db260d36e4.json
new file mode 100644
index 000000000..b6d4f8db5
--- /dev/null
+++ b/data/hfopenllm_v2/Sakalti/SJT-1.7B/5736f0b5-3903-4774-a84a-c3db260d36e4.json
@@ -0,0 +1,132 @@
+{
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+  "evaluation_id": "hfopenllm_v2/Sakalti_SJT-1.7B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "SJT-1.7B",
+    "id": "Sakalti/SJT-1.7B",
+    "developer": "Sakalti",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 1.684
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1776
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2934
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0015
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2416
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3964
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1133
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Sakalti/SJT-1.7B/6e2f01c1-ba87-4687-9db1-a0c0004bdfe1.json b/data/hfopenllm_v2/Sakalti/SJT-1.7B/6e2f01c1-ba87-4687-9db1-a0c0004bdfe1.json
deleted file mode 100644
index f051e3a4a..000000000
--- a/data/hfopenllm_v2/Sakalti/SJT-1.7B/6e2f01c1-ba87-4687-9db1-a0c0004bdfe1.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/Sakalti_SJT-1.7B/1762652579.859416",
-  "retrieved_timestamp": "1762652579.8594172",
-  "source_data": [
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Sakalti/SJT-1.7B",
-    "developer": "Sakalti",
-    "inference_platform": "unknown",
-    "id": "Sakalti/SJT-1.7B",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 1.684
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
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-        "min_score": 0,
-        "max_score": 1
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-      "evaluation_name": "MATH Level 5",
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.39641666666666664
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
-        "score": 0.11328125
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Sakalti/SJT-14B/1169b5fd-9418-4986-940a-276d163431c0.json b/data/hfopenllm_v2/Sakalti/SJT-14B/1169b5fd-9418-4986-940a-276d163431c0.json
deleted file mode 100644
index a2ae4e2ef..000000000
--- a/data/hfopenllm_v2/Sakalti/SJT-14B/1169b5fd-9418-4986-940a-276d163431c0.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Sakalti_SJT-14B/1762652579.8596292",
-  "retrieved_timestamp": "1762652579.85963",
-  "source_data": [
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-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Sakalti/SJT-14B",
-    "developer": "Sakalti",
-    "inference_platform": "unknown",
-    "id": "Sakalti/SJT-14B",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 14.766
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-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.476625
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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diff --git a/data/hfopenllm_v2/Sakalti/SJT-14B/70134d58-972e-49c9-8cde-4ba2691d3dc3.json b/data/hfopenllm_v2/Sakalti/SJT-14B/70134d58-972e-49c9-8cde-4ba2691d3dc3.json
new file mode 100644
index 000000000..ff7d304d7
--- /dev/null
+++ b/data/hfopenllm_v2/Sakalti/SJT-14B/70134d58-972e-49c9-8cde-4ba2691d3dc3.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Sakalti_SJT-14B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "SJT-14B",
+    "id": "Sakalti/SJT-14B",
+    "developer": "Sakalti",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.766
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5494
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6536
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3844
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3867
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4766
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5381
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Sakalti/SJT-2.4B/30b98827-5afb-4bfe-b765-9c81cb4580f4.json b/data/hfopenllm_v2/Sakalti/SJT-2.4B/30b98827-5afb-4bfe-b765-9c81cb4580f4.json
deleted file mode 100644
index 6910cac59..000000000
--- a/data/hfopenllm_v2/Sakalti/SJT-2.4B/30b98827-5afb-4bfe-b765-9c81cb4580f4.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Sakalti_SJT-2.4B/1762652579.859841",
-  "retrieved_timestamp": "1762652579.859841",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Sakalti/SJT-2.4B",
-    "developer": "Sakalti",
-    "inference_platform": "unknown",
-    "id": "Sakalti/SJT-2.4B",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 2.432
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.28042039566128985
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.349012395546882
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.02190332326283988
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2558724832214765
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.36990624999999994
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1858377659574468
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Sakalti/SJT-2.4B/d4bb1440-2064-4752-bcb3-c9cec234fd1b.json b/data/hfopenllm_v2/Sakalti/SJT-2.4B/d4bb1440-2064-4752-bcb3-c9cec234fd1b.json
new file mode 100644
index 000000000..b6553ae79
--- /dev/null
+++ b/data/hfopenllm_v2/Sakalti/SJT-2.4B/d4bb1440-2064-4752-bcb3-c9cec234fd1b.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Sakalti_SJT-2.4B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "SJT-2.4B",
+    "id": "Sakalti/SJT-2.4B",
+    "developer": "Sakalti",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 2.432
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2804
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.349
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0219
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2559
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3699
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1858
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Sakalti/SJT-24B-Alpha/d9e6059e-d20b-4465-b7ba-2ee3a72562b6.json b/data/hfopenllm_v2/Sakalti/SJT-24B-Alpha/d9e6059e-d20b-4465-b7ba-2ee3a72562b6.json
new file mode 100644
index 000000000..d24b4279e
--- /dev/null
+++ b/data/hfopenllm_v2/Sakalti/SJT-24B-Alpha/d9e6059e-d20b-4465-b7ba-2ee3a72562b6.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Sakalti_SJT-24B-Alpha/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "SJT-24B-Alpha",
+    "id": "Sakalti/SJT-24B-Alpha",
+    "developer": "Sakalti",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 24.125
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3206
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6081
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.253
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3809
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4595
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4857
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Sakalti/SJT-24B-Alpha/f86649f8-8962-4496-8cd8-fed702a7e63b.json b/data/hfopenllm_v2/Sakalti/SJT-24B-Alpha/f86649f8-8962-4496-8cd8-fed702a7e63b.json
deleted file mode 100644
index 412df07c4..000000000
--- a/data/hfopenllm_v2/Sakalti/SJT-24B-Alpha/f86649f8-8962-4496-8cd8-fed702a7e63b.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Sakalti_SJT-24B-Alpha/1762652579.860041",
-  "retrieved_timestamp": "1762652579.860041",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Sakalti/SJT-24B-Alpha",
-    "developer": "Sakalti",
-    "inference_platform": "unknown",
-    "id": "Sakalti/SJT-24B-Alpha",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 24.125
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3206370208823699
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6080838080485248
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.25302114803625375
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3808724832214765
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.45947916666666666
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.48570478723404253
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Sakalti/SJT-2B-V1.1/b4e467a7-3f2d-438a-8c42-1f7da1aafd20.json b/data/hfopenllm_v2/Sakalti/SJT-2B-V1.1/b4e467a7-3f2d-438a-8c42-1f7da1aafd20.json
deleted file mode 100644
index 69eb7a78c..000000000
--- a/data/hfopenllm_v2/Sakalti/SJT-2B-V1.1/b4e467a7-3f2d-438a-8c42-1f7da1aafd20.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-    "source_name": "HF Open LLM v2",
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-    "developer": "Sakalti",
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-    }
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-}
diff --git a/data/hfopenllm_v2/Sakalti/SJT-2B-V1.1/f8b02d65-c8a0-43eb-b48e-d1e1f7f363d6.json b/data/hfopenllm_v2/Sakalti/SJT-2B-V1.1/f8b02d65-c8a0-43eb-b48e-d1e1f7f363d6.json
new file mode 100644
index 000000000..1042b7d30
--- /dev/null
+++ b/data/hfopenllm_v2/Sakalti/SJT-2B-V1.1/f8b02d65-c8a0-43eb-b48e-d1e1f7f363d6.json
@@ -0,0 +1,132 @@
+{
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+  "evaluation_id": "hfopenllm_v2/Sakalti_SJT-2B-V1.1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "SJT-2B-V1.1",
+    "id": "Sakalti/SJT-2B-V1.1",
+    "developer": "Sakalti",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Gemma2ForCausalLM",
+      "params_billions": 2.614
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3977
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3984
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0483
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2676
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4299
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2124
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Sakalti/SJT-2B/7bf23db0-877c-4700-95c8-e35dee5e57b4.json b/data/hfopenllm_v2/Sakalti/SJT-2B/7bf23db0-877c-4700-95c8-e35dee5e57b4.json
new file mode 100644
index 000000000..344d5d801
--- /dev/null
+++ b/data/hfopenllm_v2/Sakalti/SJT-2B/7bf23db0-877c-4700-95c8-e35dee5e57b4.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Sakalti_SJT-2B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "SJT-2B",
+    "id": "Sakalti/SJT-2B",
+    "developer": "Sakalti",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Gemma2ForCausalLM",
+      "params_billions": 2.614
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2151
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2936
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0008
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2416
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3564
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1187
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Sakalti/SJT-2B/f720d81c-04e1-4f8a-b452-ae52cc7d9fb2.json b/data/hfopenllm_v2/Sakalti/SJT-2B/f720d81c-04e1-4f8a-b452-ae52cc7d9fb2.json
deleted file mode 100644
index 9b5d951de..000000000
--- a/data/hfopenllm_v2/Sakalti/SJT-2B/f720d81c-04e1-4f8a-b452-ae52cc7d9fb2.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/Sakalti_SJT-2B/1762652579.8602371",
-  "retrieved_timestamp": "1762652579.860238",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Sakalti/SJT-2B",
-    "developer": "Sakalti",
-    "inference_platform": "unknown",
-    "id": "Sakalti/SJT-2B",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Gemma2ForCausalLM",
-      "params_billions": 2.614
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    {
-      "evaluation_name": "BBH",
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.24161073825503357
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.35641666666666666
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11868351063829788
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Sakalti/SJT-3.7B/07f8351e-c7c6-463f-9e91-ee1d3bb2b35c.json b/data/hfopenllm_v2/Sakalti/SJT-3.7B/07f8351e-c7c6-463f-9e91-ee1d3bb2b35c.json
new file mode 100644
index 000000000..c851ca6fd
--- /dev/null
+++ b/data/hfopenllm_v2/Sakalti/SJT-3.7B/07f8351e-c7c6-463f-9e91-ee1d3bb2b35c.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Sakalti_SJT-3.7B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "SJT-3.7B",
+    "id": "Sakalti/SJT-3.7B",
+    "developer": "Sakalti",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 3.783
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1078
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3393
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0121
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2559
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3617
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1505
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Sakalti/SJT-3.7B/e82f1a2e-f679-47b8-9fbb-a53116e2195b.json b/data/hfopenllm_v2/Sakalti/SJT-3.7B/e82f1a2e-f679-47b8-9fbb-a53116e2195b.json
deleted file mode 100644
index 307914e80..000000000
--- a/data/hfopenllm_v2/Sakalti/SJT-3.7B/e82f1a2e-f679-47b8-9fbb-a53116e2195b.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Sakalti_SJT-3.7B/1762652579.860638",
-  "retrieved_timestamp": "1762652579.8606389",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Sakalti/SJT-3.7B",
-    "developer": "Sakalti",
-    "inference_platform": "unknown",
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-}
diff --git a/data/hfopenllm_v2/Sakalti/SJT-4B/5115cea0-d3bf-486b-9609-36698e845653.json b/data/hfopenllm_v2/Sakalti/SJT-4B/5115cea0-d3bf-486b-9609-36698e845653.json
deleted file mode 100644
index a5655acff..000000000
--- a/data/hfopenllm_v2/Sakalti/SJT-4B/5115cea0-d3bf-486b-9609-36698e845653.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Sakalti_SJT-4B/1762652579.8608499",
-  "retrieved_timestamp": "1762652579.860851",
-  "source_data": [
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-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Sakalti/SJT-4B",
-    "developer": "Sakalti",
-    "inference_platform": "unknown",
-    "id": "Sakalti/SJT-4B",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 3.821
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4077403511571519
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.29446308724832215
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4779583333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.328125
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Sakalti/SJT-4B/8535ffae-f39d-46ed-89bb-a1656885db91.json b/data/hfopenllm_v2/Sakalti/SJT-4B/8535ffae-f39d-46ed-89bb-a1656885db91.json
new file mode 100644
index 000000000..841001a9a
--- /dev/null
+++ b/data/hfopenllm_v2/Sakalti/SJT-4B/8535ffae-f39d-46ed-89bb-a1656885db91.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Sakalti_SJT-4B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "SJT-4B",
+    "id": "Sakalti/SJT-4B",
+    "developer": "Sakalti",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 3.821
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4077
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4886
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1156
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2945
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.478
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3281
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Sakalti/SJT-7.5B/57934f76-c8bd-4264-a3b4-14234dda0719.json b/data/hfopenllm_v2/Sakalti/SJT-7.5B/57934f76-c8bd-4264-a3b4-14234dda0719.json
deleted file mode 100644
index b7550e733..000000000
--- a/data/hfopenllm_v2/Sakalti/SJT-7.5B/57934f76-c8bd-4264-a3b4-14234dda0719.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/Sakalti_SJT-7.5B/1762652579.861058",
-  "retrieved_timestamp": "1762652579.861058",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Sakalti/SJT-7.5B",
-    "developer": "Sakalti",
-    "inference_platform": "unknown",
-    "id": "Sakalti/SJT-7.5B",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 7.456
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42232831110342783
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5367364587851736
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.21676737160120846
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3263422818791946
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.43988541666666664
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3951130319148936
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Sakalti/SJT-7.5B/5e832121-9a67-44d9-973d-fffdb1b37975.json b/data/hfopenllm_v2/Sakalti/SJT-7.5B/5e832121-9a67-44d9-973d-fffdb1b37975.json
new file mode 100644
index 000000000..157236e81
--- /dev/null
+++ b/data/hfopenllm_v2/Sakalti/SJT-7.5B/5e832121-9a67-44d9-973d-fffdb1b37975.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Sakalti_SJT-7.5B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "SJT-7.5B",
+    "id": "Sakalti/SJT-7.5B",
+    "developer": "Sakalti",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 7.456
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4223
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5367
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2168
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3263
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4399
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3951
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Sakalti/SJT-7B-V1.1-Multilingal/03cb237a-0519-449c-b9c7-d9fbb4d119cd.json b/data/hfopenllm_v2/Sakalti/SJT-7B-V1.1-Multilingal/03cb237a-0519-449c-b9c7-d9fbb4d119cd.json
deleted file mode 100644
index e2d20e10b..000000000
--- a/data/hfopenllm_v2/Sakalti/SJT-7B-V1.1-Multilingal/03cb237a-0519-449c-b9c7-d9fbb4d119cd.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Sakalti_SJT-7B-V1.1-Multilingal/1762652579.861463",
-  "retrieved_timestamp": "1762652579.861464",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Sakalti/SJT-7B-V1.1-Multilingal",
-    "developer": "Sakalti",
-    "inference_platform": "unknown",
-    "id": "Sakalti/SJT-7B-V1.1-Multilingal",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.613
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.19494053555676716
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2919597646466201
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.004531722054380665
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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diff --git a/data/hfopenllm_v2/Sakalti/SJT-7B-V1.1-Multilingal/92d3f67d-a026-49e3-a440-68c10fb358ae.json b/data/hfopenllm_v2/Sakalti/SJT-7B-V1.1-Multilingal/92d3f67d-a026-49e3-a440-68c10fb358ae.json
new file mode 100644
index 000000000..8dfb066a7
--- /dev/null
+++ b/data/hfopenllm_v2/Sakalti/SJT-7B-V1.1-Multilingal/92d3f67d-a026-49e3-a440-68c10fb358ae.json
@@ -0,0 +1,132 @@
+{
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+  "evaluation_id": "hfopenllm_v2/Sakalti_SJT-7B-V1.1-Multilingal/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "SJT-7B-V1.1-Multilingal",
+    "id": "Sakalti/SJT-7B-V1.1-Multilingal",
+    "developer": "Sakalti",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.613
+    }
+  },
+  "evaluation_results": [
+    {
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+      "source_data": {
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+        "hf_repo": "google/IFEval"
+      },
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+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.292
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "max_score": 1.0
+      },
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+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3621
+      }
+    },
+    {
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+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
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+        "max_score": 1.0
+      },
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+        "score": 0.1137
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Sakalti/SJT-7B-V1.1/9d0baaef-bd31-4a96-bb2a-e92b62b748d2.json b/data/hfopenllm_v2/Sakalti/SJT-7B-V1.1/9d0baaef-bd31-4a96-bb2a-e92b62b748d2.json
new file mode 100644
index 000000000..7f654b278
--- /dev/null
+++ b/data/hfopenllm_v2/Sakalti/SJT-7B-V1.1/9d0baaef-bd31-4a96-bb2a-e92b62b748d2.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Sakalti_SJT-7B-V1.1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "SJT-7B-V1.1",
+    "id": "Sakalti/SJT-7B-V1.1",
+    "developer": "Sakalti",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.613
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4703
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2432
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4411
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4412
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Sakalti/SJT-7B-V1.1/b1527426-9cc0-4eb5-af52-30e36e0e04fd.json b/data/hfopenllm_v2/Sakalti/SJT-7B-V1.1/b1527426-9cc0-4eb5-af52-30e36e0e04fd.json
deleted file mode 100644
index 5329e1558..000000000
--- a/data/hfopenllm_v2/Sakalti/SJT-7B-V1.1/b1527426-9cc0-4eb5-af52-30e36e0e04fd.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/Sakalti_SJT-7B-V1.1/1762652579.861262",
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-    "source_name": "HF Open LLM v2",
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-    "developer": "Sakalti",
-    "inference_platform": "unknown",
-    "id": "Sakalti/SJT-7B-V1.1",
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-      "architecture": "Qwen2ForCausalLM",
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diff --git a/data/hfopenllm_v2/Sakalti/SJT-8B-V1.1/0cf37c9e-9218-4366-8065-befea0d2b749.json b/data/hfopenllm_v2/Sakalti/SJT-8B-V1.1/0cf37c9e-9218-4366-8065-befea0d2b749.json
deleted file mode 100644
index c52bc7c20..000000000
--- a/data/hfopenllm_v2/Sakalti/SJT-8B-V1.1/0cf37c9e-9218-4366-8065-befea0d2b749.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/Sakalti_SJT-8B-V1.1/1762652579.8618612",
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-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
-    "name": "Sakalti/SJT-8B-V1.1",
-    "developer": "Sakalti",
-    "inference_platform": "unknown",
-    "id": "Sakalti/SJT-8B-V1.1",
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-      "metric_config": {
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-        "score_type": "continuous",
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-        "max_score": 1
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-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-}
diff --git a/data/hfopenllm_v2/Sakalti/SJT-8B-V1.1/489e8e84-5e30-46fa-a421-f52308f051e7.json b/data/hfopenllm_v2/Sakalti/SJT-8B-V1.1/489e8e84-5e30-46fa-a421-f52308f051e7.json
new file mode 100644
index 000000000..011bbc7a2
--- /dev/null
+++ b/data/hfopenllm_v2/Sakalti/SJT-8B-V1.1/489e8e84-5e30-46fa-a421-f52308f051e7.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Sakalti_SJT-8B-V1.1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "SJT-8B-V1.1",
+    "id": "Sakalti/SJT-8B-V1.1",
+    "developer": "Sakalti",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 8.545
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
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+      "score_details": {
+        "score": 0.4621
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+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
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+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5121
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+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
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+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+      "score_details": {
+        "score": 0.2069
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+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+      "score_details": {
+        "score": 0.3364
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+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+      "score_details": {
+        "score": 0.4266
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+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4231
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Sakalti/SJT-8B/a208f807-c930-4e81-8ebd-dcbb4db76442.json b/data/hfopenllm_v2/Sakalti/SJT-8B/a208f807-c930-4e81-8ebd-dcbb4db76442.json
new file mode 100644
index 000000000..effa93eb9
--- /dev/null
+++ b/data/hfopenllm_v2/Sakalti/SJT-8B/a208f807-c930-4e81-8ebd-dcbb4db76442.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Sakalti_SJT-8B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "SJT-8B",
+    "id": "Sakalti/SJT-8B",
+    "developer": "Sakalti",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 8.548
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6535
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5282
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2538
+      }
+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3297
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.408
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4266
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Sakalti/SJT-8B/cb136400-7d0e-4194-9a45-1646ff8cac95.json b/data/hfopenllm_v2/Sakalti/SJT-8B/cb136400-7d0e-4194-9a45-1646ff8cac95.json
deleted file mode 100644
index 5cf1f9741..000000000
--- a/data/hfopenllm_v2/Sakalti/SJT-8B/cb136400-7d0e-4194-9a45-1646ff8cac95.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/Sakalti_SJT-8B/1762652579.861662",
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-  "source_data": [
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-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Sakalti/SJT-8B",
-    "developer": "Sakalti",
-    "inference_platform": "unknown",
-    "id": "Sakalti/SJT-8B",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 8.548
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-      },
-      "score_details": {
-        "score": 0.6534871917623019
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-    {
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
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-        "max_score": 1
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
-        "score": 0.3296979865771812
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4079791666666666
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Sakalti/SJT-900M/4956539d-a255-4c56-877f-257e463fa3e4.json b/data/hfopenllm_v2/Sakalti/SJT-900M/4956539d-a255-4c56-877f-257e463fa3e4.json
new file mode 100644
index 000000000..73e5c563b
--- /dev/null
+++ b/data/hfopenllm_v2/Sakalti/SJT-900M/4956539d-a255-4c56-877f-257e463fa3e4.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Sakalti_SJT-900M/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "SJT-900M",
+    "id": "Sakalti/SJT-900M",
+    "developer": "Sakalti",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 0.899
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.241
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3169
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0136
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2534
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3595
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1142
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Sakalti/SJT-900M/ff057dd9-0102-485d-88d7-7e50145b5f7e.json b/data/hfopenllm_v2/Sakalti/SJT-900M/ff057dd9-0102-485d-88d7-7e50145b5f7e.json
deleted file mode 100644
index d889325f7..000000000
--- a/data/hfopenllm_v2/Sakalti/SJT-900M/ff057dd9-0102-485d-88d7-7e50145b5f7e.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/Sakalti_SJT-900M/1762652579.862072",
-  "retrieved_timestamp": "1762652579.8620732",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Sakalti/SJT-900M",
-    "developer": "Sakalti",
-    "inference_platform": "unknown",
-    "id": "Sakalti/SJT-900M",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 0.899
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2410027615615456
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.31692036321713823
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.013595166163141994
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2533557046979866
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.35945833333333327
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11419547872340426
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Sakalti/SJT-Moe2x7.5B/3451eb65-020c-4e34-9128-7410e6b293cd.json b/data/hfopenllm_v2/Sakalti/SJT-Moe2x7.5B/3451eb65-020c-4e34-9128-7410e6b293cd.json
new file mode 100644
index 000000000..af8b9e5e0
--- /dev/null
+++ b/data/hfopenllm_v2/Sakalti/SJT-Moe2x7.5B/3451eb65-020c-4e34-9128-7410e6b293cd.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Sakalti_SJT-Moe2x7.5B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "SJT-Moe2x7.5B",
+    "id": "Sakalti/SJT-Moe2x7.5B",
+    "developer": "Sakalti",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "MixtralForCausalLM",
+      "params_billions": 13.401
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4117
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5371
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2145
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3263
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4399
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3954
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Sakalti/SJT-Moe2x7.5B/e95c6f08-ab57-49a2-a83b-6a77b5ab69d9.json b/data/hfopenllm_v2/Sakalti/SJT-Moe2x7.5B/e95c6f08-ab57-49a2-a83b-6a77b5ab69d9.json
deleted file mode 100644
index 45f4b987b..000000000
--- a/data/hfopenllm_v2/Sakalti/SJT-Moe2x7.5B/e95c6f08-ab57-49a2-a83b-6a77b5ab69d9.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/Sakalti_SJT-Moe2x7.5B/1762652579.862277",
-  "retrieved_timestamp": "1762652579.862278",
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
-    "name": "Sakalti/SJT-Moe2x7.5B",
-    "developer": "Sakalti",
-    "inference_platform": "unknown",
-    "id": "Sakalti/SJT-Moe2x7.5B",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "MixtralForCausalLM",
-      "params_billions": 13.401
-    }
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-      "evaluation_name": "IFEval",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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diff --git a/data/hfopenllm_v2/Sakalti/SJTPass-2/7f508bd9-7f95-453d-9e96-747ce91a64b3.json b/data/hfopenllm_v2/Sakalti/SJTPass-2/7f508bd9-7f95-453d-9e96-747ce91a64b3.json
deleted file mode 100644
index 5715d9160..000000000
--- a/data/hfopenllm_v2/Sakalti/SJTPass-2/7f508bd9-7f95-453d-9e96-747ce91a64b3.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "source_data": [
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-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Sakalti/SJTPass-2",
-    "developer": "Sakalti",
-    "inference_platform": "unknown",
-    "id": "Sakalti/SJTPass-2",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 0.63
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-  },
-  "evaluation_results": [
-    {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-        "lower_is_better": false,
-        "score_type": "continuous",
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-        "max_score": 1
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-      "score_details": {
-        "score": 0.2726510067114094
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.32225
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1901595744680851
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Sakalti/SJTPass-2/b5cd0061-e4dd-4049-a51e-b16490e69120.json b/data/hfopenllm_v2/Sakalti/SJTPass-2/b5cd0061-e4dd-4049-a51e-b16490e69120.json
new file mode 100644
index 000000000..b2c0d1e00
--- /dev/null
+++ b/data/hfopenllm_v2/Sakalti/SJTPass-2/b5cd0061-e4dd-4049-a51e-b16490e69120.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Sakalti_SJTPass-2/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "SJTPass-2",
+    "id": "Sakalti/SJTPass-2",
+    "developer": "Sakalti",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 0.63
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.24
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3302
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0529
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2727
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3222
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1902
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Sakalti/SJTPass-4/c4686af6-0b7b-4df3-9152-14a3ef087b7f.json b/data/hfopenllm_v2/Sakalti/SJTPass-4/c4686af6-0b7b-4df3-9152-14a3ef087b7f.json
new file mode 100644
index 000000000..fbfa47dbe
--- /dev/null
+++ b/data/hfopenllm_v2/Sakalti/SJTPass-4/c4686af6-0b7b-4df3-9152-14a3ef087b7f.json
@@ -0,0 +1,132 @@
+{
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+  "evaluation_id": "hfopenllm_v2/Sakalti_SJTPass-4/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "SJTPass-4",
+    "id": "Sakalti/SJTPass-4",
+    "developer": "Sakalti",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 1.167
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1913
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2964
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0023
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2601
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3898
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1083
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Sakalti/SJTPass-4/f814a3bd-b82e-4769-9ef7-a4670420bca0.json b/data/hfopenllm_v2/Sakalti/SJTPass-4/f814a3bd-b82e-4769-9ef7-a4670420bca0.json
deleted file mode 100644
index 32e733c10..000000000
--- a/data/hfopenllm_v2/Sakalti/SJTPass-4/f814a3bd-b82e-4769-9ef7-a4670420bca0.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/Sakalti_SJTPass-4/1762652579.8627222",
-  "retrieved_timestamp": "1762652579.8627222",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Sakalti/SJTPass-4",
-    "developer": "Sakalti",
-    "inference_platform": "unknown",
-    "id": "Sakalti/SJTPass-4",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 1.167
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.19129354557019818
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2963644180215358
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.0022658610271903325
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2600671140939597
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.38981249999999995
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.10829454787234043
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Sakalti/SJTPass-5/155885ca-11e7-4cd2-b26c-53e001e2a6f9.json b/data/hfopenllm_v2/Sakalti/SJTPass-5/155885ca-11e7-4cd2-b26c-53e001e2a6f9.json
new file mode 100644
index 000000000..8136444ac
--- /dev/null
+++ b/data/hfopenllm_v2/Sakalti/SJTPass-5/155885ca-11e7-4cd2-b26c-53e001e2a6f9.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Sakalti_SJTPass-5/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "SJTPass-5",
+    "id": "Sakalti/SJTPass-5",
+    "developer": "Sakalti",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 0.809
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2425
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3103
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0159
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2668
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3794
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1327
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Sakalti/SJTPass-5/5d5bda4e-8994-4cef-9772-d4bd435e9644.json b/data/hfopenllm_v2/Sakalti/SJTPass-5/5d5bda4e-8994-4cef-9772-d4bd435e9644.json
deleted file mode 100644
index 4d3fb9106..000000000
--- a/data/hfopenllm_v2/Sakalti/SJTPass-5/5d5bda4e-8994-4cef-9772-d4bd435e9644.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Sakalti_SJTPass-5/1762652579.862921",
-  "retrieved_timestamp": "1762652579.862922",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Sakalti/SJTPass-5",
-    "developer": "Sakalti",
-    "inference_platform": "unknown",
-    "id": "Sakalti/SJTPass-5",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 0.809
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.24247662867857286
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
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-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.26677852348993286
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3794270833333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.13272938829787234
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Sakalti/Saba-Passthrough-2/d9ca5411-def6-43b3-a522-595131d8e5e6.json b/data/hfopenllm_v2/Sakalti/Saba-Passthrough-2/d9ca5411-def6-43b3-a522-595131d8e5e6.json
new file mode 100644
index 000000000..4e51d28f5
--- /dev/null
+++ b/data/hfopenllm_v2/Sakalti/Saba-Passthrough-2/d9ca5411-def6-43b3-a522-595131d8e5e6.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Sakalti_Saba-Passthrough-2/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Saba-Passthrough-2",
+    "id": "Sakalti/Saba-Passthrough-2",
+    "developer": "Sakalti",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 3.087
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1691
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3672
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0008
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2634
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3844
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2077
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Sakalti/Saba-Passthrough-2/df1e7d22-c300-4466-92b7-770078a1dc09.json b/data/hfopenllm_v2/Sakalti/Saba-Passthrough-2/df1e7d22-c300-4466-92b7-770078a1dc09.json
deleted file mode 100644
index 8b0b6a143..000000000
--- a/data/hfopenllm_v2/Sakalti/Saba-Passthrough-2/df1e7d22-c300-4466-92b7-770078a1dc09.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Sakalti_Saba-Passthrough-2/1762652579.863117",
-  "retrieved_timestamp": "1762652579.8631182",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Sakalti/Saba-Passthrough-2",
-    "developer": "Sakalti",
-    "inference_platform": "unknown",
-    "id": "Sakalti/Saba-Passthrough-2",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 3.087
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.16913677930114318
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.36724803467499195
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.0007552870090634441
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2634228187919463
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3844479166666666
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.20769614361702127
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Sakalti/Saba1-1.8B/d8cc8e9e-b672-4b26-a454-f97cd7a08648.json b/data/hfopenllm_v2/Sakalti/Saba1-1.8B/d8cc8e9e-b672-4b26-a454-f97cd7a08648.json
deleted file mode 100644
index 9f3b3ba73..000000000
--- a/data/hfopenllm_v2/Sakalti/Saba1-1.8B/d8cc8e9e-b672-4b26-a454-f97cd7a08648.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Sakalti_Saba1-1.8B/1762652579.863334",
-  "retrieved_timestamp": "1762652579.863334",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Sakalti/Saba1-1.8B",
-    "developer": "Sakalti",
-    "inference_platform": "unknown",
-    "id": "Sakalti/Saba1-1.8B",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 1.777
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3332768166243345
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4147375470428282
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
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-        "score": 0.1540785498489426
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-    },
-    {
-      "evaluation_name": "GPQA",
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-        "evaluation_description": "Accuracy on GPQA",
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-      },
-      "score_details": {
-        "score": 0.2827181208053691
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2925531914893617
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diff --git a/data/hfopenllm_v2/Sakalti/Saba1-1.8B/e54553ab-0897-4cb5-9213-5bb72758d2b5.json b/data/hfopenllm_v2/Sakalti/Saba1-1.8B/e54553ab-0897-4cb5-9213-5bb72758d2b5.json
new file mode 100644
index 000000000..db3cc96a9
--- /dev/null
+++ b/data/hfopenllm_v2/Sakalti/Saba1-1.8B/e54553ab-0897-4cb5-9213-5bb72758d2b5.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Sakalti_Saba1-1.8B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Saba1-1.8B",
+    "id": "Sakalti/Saba1-1.8B",
+    "developer": "Sakalti",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 1.777
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3333
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4147
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1541
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2827
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4239
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2926
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Sakalti/Saba1-7B/1200ed26-8450-4788-a1bf-20f2c9b9b2c0.json b/data/hfopenllm_v2/Sakalti/Saba1-7B/1200ed26-8450-4788-a1bf-20f2c9b9b2c0.json
deleted file mode 100644
index aa6c92e3c..000000000
--- a/data/hfopenllm_v2/Sakalti/Saba1-7B/1200ed26-8450-4788-a1bf-20f2c9b9b2c0.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Sakalti_Saba1-7B/1762652579.863542",
-  "retrieved_timestamp": "1762652579.863542",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Sakalti/Saba1-7B",
-    "developer": "Sakalti",
-    "inference_platform": "unknown",
-    "id": "Sakalti/Saba1-7B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.616
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.45847351693506566
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5489063327459239
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.36631419939577037
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3162751677852349
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.47932291666666665
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.43758311170212766
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Sakalti/Saba1-7B/eed48cdc-18db-4c03-84bf-d2d50e3328b0.json b/data/hfopenllm_v2/Sakalti/Saba1-7B/eed48cdc-18db-4c03-84bf-d2d50e3328b0.json
new file mode 100644
index 000000000..9e78fd60a
--- /dev/null
+++ b/data/hfopenllm_v2/Sakalti/Saba1-7B/eed48cdc-18db-4c03-84bf-d2d50e3328b0.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Sakalti_Saba1-7B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Saba1-7B",
+    "id": "Sakalti/Saba1-7B",
+    "developer": "Sakalti",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4585
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5489
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3663
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3163
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4793
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4376
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Sakalti/Saba1.5-1.5B/a76090d4-a0fb-45c8-b28c-fa225ec3d11c.json b/data/hfopenllm_v2/Sakalti/Saba1.5-1.5B/a76090d4-a0fb-45c8-b28c-fa225ec3d11c.json
deleted file mode 100644
index 6ffcd0b83..000000000
--- a/data/hfopenllm_v2/Sakalti/Saba1.5-1.5B/a76090d4-a0fb-45c8-b28c-fa225ec3d11c.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Sakalti_Saba1.5-1.5B/1762652579.8637571",
-  "retrieved_timestamp": "1762652579.863758",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Sakalti/Saba1.5-1.5B",
-    "developer": "Sakalti",
-    "inference_platform": "unknown",
-    "id": "Sakalti/Saba1.5-1.5B",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 1.544
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3332768166243345
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4147375470428282
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1540785498489426
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2827181208053691
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4238854166666666
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2925531914893617
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Sakalti/Saba1.5-1.5B/d7952aef-37e2-4c15-a1a4-598690773bbb.json b/data/hfopenllm_v2/Sakalti/Saba1.5-1.5B/d7952aef-37e2-4c15-a1a4-598690773bbb.json
new file mode 100644
index 000000000..d446d42e8
--- /dev/null
+++ b/data/hfopenllm_v2/Sakalti/Saba1.5-1.5B/d7952aef-37e2-4c15-a1a4-598690773bbb.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Sakalti_Saba1.5-1.5B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Saba1.5-1.5B",
+    "id": "Sakalti/Saba1.5-1.5B",
+    "developer": "Sakalti",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 1.544
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3333
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4147
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1541
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2827
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4239
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2926
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Sakalti/Saba1.5-Pro-3B/14e1dd44-92f1-4d97-be67-fa98c9802ff1.json b/data/hfopenllm_v2/Sakalti/Saba1.5-Pro-3B/14e1dd44-92f1-4d97-be67-fa98c9802ff1.json
deleted file mode 100644
index f891577d4..000000000
--- a/data/hfopenllm_v2/Sakalti/Saba1.5-Pro-3B/14e1dd44-92f1-4d97-be67-fa98c9802ff1.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Sakalti_Saba1.5-Pro-3B/1762652579.863965",
-  "retrieved_timestamp": "1762652579.863966",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Sakalti/Saba1.5-Pro-3B",
-    "developer": "Sakalti",
-    "inference_platform": "unknown",
-    "id": "Sakalti/Saba1.5-Pro-3B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 2.9
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.23860468002677343
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3622910501405146
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.027190332326283987
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2684563758389262
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.44054166666666666
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.19581117021276595
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Sakalti/Saba1.5-Pro-3B/5e1e1376-bb22-4fc9-a1d6-3f2fe7d302b9.json b/data/hfopenllm_v2/Sakalti/Saba1.5-Pro-3B/5e1e1376-bb22-4fc9-a1d6-3f2fe7d302b9.json
new file mode 100644
index 000000000..a268ff87b
--- /dev/null
+++ b/data/hfopenllm_v2/Sakalti/Saba1.5-Pro-3B/5e1e1376-bb22-4fc9-a1d6-3f2fe7d302b9.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Sakalti_Saba1.5-Pro-3B/1770682486.623709",
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+        "evaluation_description": "Exact Match on MATH Level 5",
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+        "hf_repo": "TAUR-Lab/MuSR"
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+        "hf_repo": "TIGER-Lab/MMLU-Pro"
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Sakalti/Saba2-14B-Preview/cfdae559-f3f1-4a78-b4cc-fbfb8bb37b16.json b/data/hfopenllm_v2/Sakalti/Saba2-14B-Preview/cfdae559-f3f1-4a78-b4cc-fbfb8bb37b16.json
new file mode 100644
index 000000000..2d5a6e567
--- /dev/null
+++ b/data/hfopenllm_v2/Sakalti/Saba2-14B-Preview/cfdae559-f3f1-4a78-b4cc-fbfb8bb37b16.json
@@ -0,0 +1,132 @@
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+    "source_type": "documentation",
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+  },
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+    "id": "Sakalti/Saba2-14B-Preview",
+    "developer": "Sakalti",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.77
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+        "source_type": "hf_dataset",
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
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+        "evaluation_description": "Accuracy on BBH",
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+        "score_type": "continuous",
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+        "max_score": 1.0
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+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
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+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Sakalti/Saba2-14B-Preview/e3e0180f-bbd8-491a-a41b-54801e9f71de.json b/data/hfopenllm_v2/Sakalti/Saba2-14B-Preview/e3e0180f-bbd8-491a-a41b-54801e9f71de.json
deleted file mode 100644
index 7e3680c41..000000000
--- a/data/hfopenllm_v2/Sakalti/Saba2-14B-Preview/e3e0180f-bbd8-491a-a41b-54801e9f71de.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/Sakalti/Saba2-3B/a12208ce-e9e1-4476-8054-0d565efad92c.json b/data/hfopenllm_v2/Sakalti/Saba2-3B/a12208ce-e9e1-4476-8054-0d565efad92c.json
new file mode 100644
index 000000000..1efd679c7
--- /dev/null
+++ b/data/hfopenllm_v2/Sakalti/Saba2-3B/a12208ce-e9e1-4476-8054-0d565efad92c.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Sakalti_Saba2-3B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Saba2-3B",
+    "id": "Sakalti/Saba2-3B",
+    "developer": "Sakalti",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 3.086
+    }
+  },
+  "evaluation_results": [
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
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+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
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+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2801
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2617
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3927
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+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.121
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Sakalti/Saba2-3B/b759686f-082e-44b6-9cf8-44a48f66c136.json b/data/hfopenllm_v2/Sakalti/Saba2-3B/b759686f-082e-44b6-9cf8-44a48f66c136.json
deleted file mode 100644
index 555a8ae5b..000000000
--- a/data/hfopenllm_v2/Sakalti/Saba2-3B/b759686f-082e-44b6-9cf8-44a48f66c136.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Sakalti/Saba2-3B",
-    "developer": "Sakalti",
-    "inference_platform": "unknown",
-    "id": "Sakalti/Saba2-3B",
-    "additional_details": {
-      "precision": "float16",
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-      "params_billions": 3.086
-    }
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-      "metric_config": {
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-    {
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-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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diff --git a/data/hfopenllm_v2/Sakalti/Sailor-japanese/8449b01f-c489-4008-97d4-aa3f0394cda4.json b/data/hfopenllm_v2/Sakalti/Sailor-japanese/8449b01f-c489-4008-97d4-aa3f0394cda4.json
deleted file mode 100644
index 4f745fe6b..000000000
--- a/data/hfopenllm_v2/Sakalti/Sailor-japanese/8449b01f-c489-4008-97d4-aa3f0394cda4.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Sakalti_Sailor-japanese/1762652579.864587",
-  "retrieved_timestamp": "1762652579.864588",
-  "source_data": [
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Sakalti/Sailor-japanese",
-    "developer": "Sakalti",
-    "inference_platform": "unknown",
-    "id": "Sakalti/Sailor-japanese",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
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diff --git a/data/hfopenllm_v2/Sakalti/Sailor-japanese/f46e1eeb-8b8b-4d47-9510-445109b5518b.json b/data/hfopenllm_v2/Sakalti/Sailor-japanese/f46e1eeb-8b8b-4d47-9510-445109b5518b.json
new file mode 100644
index 000000000..353e25d9c
--- /dev/null
+++ b/data/hfopenllm_v2/Sakalti/Sailor-japanese/f46e1eeb-8b8b-4d47-9510-445109b5518b.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Sakalti_Sailor-japanese/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Sailor-japanese",
+    "id": "Sakalti/Sailor-japanese",
+    "developer": "Sakalti",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 0.494
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1605
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2913
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.003
+      }
+    },
+    {
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+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2534
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3912
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1164
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Sakalti/Saka-1.5B/7dc4970f-ce35-4ffa-9052-2ab40abb1e55.json b/data/hfopenllm_v2/Sakalti/Saka-1.5B/7dc4970f-ce35-4ffa-9052-2ab40abb1e55.json
new file mode 100644
index 000000000..bae9cee17
--- /dev/null
+++ b/data/hfopenllm_v2/Sakalti/Saka-1.5B/7dc4970f-ce35-4ffa-9052-2ab40abb1e55.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Sakalti_Saka-1.5B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Saka-1.5B",
+    "id": "Sakalti/Saka-1.5B",
+    "developer": "Sakalti",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 1.777
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2726
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3988
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0801
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2903
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3739
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2415
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Sakalti/Saka-1.5B/854baf47-af97-46dd-acfe-a3710976fd57.json b/data/hfopenllm_v2/Sakalti/Saka-1.5B/854baf47-af97-46dd-acfe-a3710976fd57.json
deleted file mode 100644
index 7134f2fc9..000000000
--- a/data/hfopenllm_v2/Sakalti/Saka-1.5B/854baf47-af97-46dd-acfe-a3710976fd57.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/Sakalti_Saka-1.5B/1762652579.8647912",
-  "retrieved_timestamp": "1762652579.8647912",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Sakalti/Saka-1.5B",
-    "developer": "Sakalti",
-    "inference_platform": "unknown",
-    "id": "Sakalti/Saka-1.5B",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 1.777
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2726266306732802
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
-        "score": 0.08006042296072508
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
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-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.24152260638297873
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Sakalti/Saka-14B/53556d59-3b32-44bc-9932-c52f05939b57.json b/data/hfopenllm_v2/Sakalti/Saka-14B/53556d59-3b32-44bc-9932-c52f05939b57.json
deleted file mode 100644
index 965936c03..000000000
--- a/data/hfopenllm_v2/Sakalti/Saka-14B/53556d59-3b32-44bc-9932-c52f05939b57.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Sakalti_Saka-14B/1762652579.8649821",
-  "retrieved_timestamp": "1762652579.864983",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
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-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Sakalti/Saka-14B",
-    "developer": "Sakalti",
-    "inference_platform": "unknown",
-    "id": "Sakalti/Saka-14B",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 14.766
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-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3959731543624161
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.48859375
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.539561170212766
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Sakalti/Saka-14B/823e886a-1431-4078-81a3-4b941983461d.json b/data/hfopenllm_v2/Sakalti/Saka-14B/823e886a-1431-4078-81a3-4b941983461d.json
new file mode 100644
index 000000000..a2883bea2
--- /dev/null
+++ b/data/hfopenllm_v2/Sakalti/Saka-14B/823e886a-1431-4078-81a3-4b941983461d.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Sakalti_Saka-14B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Saka-14B",
+    "id": "Sakalti/Saka-14B",
+    "developer": "Sakalti",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.766
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7174
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+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6497
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+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4094
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.396
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4886
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5396
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Sakalti/Saka-24B/583609f0-de5b-43cd-a667-bb2c36679fd2.json b/data/hfopenllm_v2/Sakalti/Saka-24B/583609f0-de5b-43cd-a667-bb2c36679fd2.json
new file mode 100644
index 000000000..873a3e63b
--- /dev/null
+++ b/data/hfopenllm_v2/Sakalti/Saka-24B/583609f0-de5b-43cd-a667-bb2c36679fd2.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Sakalti_Saka-24B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Saka-24B",
+    "id": "Sakalti/Saka-24B",
+    "developer": "Sakalti",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 23.572
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3819
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6072
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1805
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3423
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4541
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4766
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Sakalti/Saka-24B/a5e13aa9-bf5f-4201-bc93-504521141f43.json b/data/hfopenllm_v2/Sakalti/Saka-24B/a5e13aa9-bf5f-4201-bc93-504521141f43.json
deleted file mode 100644
index 63c7a5d24..000000000
--- a/data/hfopenllm_v2/Sakalti/Saka-24B/a5e13aa9-bf5f-4201-bc93-504521141f43.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Sakalti_Saka-24B/1762652579.865175",
-  "retrieved_timestamp": "1762652579.865176",
-  "source_data": [
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-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Sakalti/Saka-24B",
-    "developer": "Sakalti",
-    "inference_platform": "unknown",
-    "id": "Sakalti/Saka-24B",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 23.572
-    }
-  },
-  "evaluation_results": [
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-      "evaluation_name": "IFEval",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-    {
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-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6072116494463233
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-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
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-        "score": 0.18051359516616314
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-    },
-    {
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-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
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-        "max_score": 1
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-    },
-    {
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-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4765625
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Sakalti/Saka-7.2B/07f036d7-af59-49a8-8346-8a9a9dd21439.json b/data/hfopenllm_v2/Sakalti/Saka-7.2B/07f036d7-af59-49a8-8346-8a9a9dd21439.json
deleted file mode 100644
index 1154031e6..000000000
--- a/data/hfopenllm_v2/Sakalti/Saka-7.2B/07f036d7-af59-49a8-8346-8a9a9dd21439.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Sakalti_Saka-7.2B/1762652579.86556",
-  "retrieved_timestamp": "1762652579.865563",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Sakalti/Saka-7.2B",
-    "developer": "Sakalti",
-    "inference_platform": "unknown",
-    "id": "Sakalti/Saka-7.2B",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 7.292
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-        "lower_is_better": false,
-        "score_type": "continuous",
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-      },
-      "score_details": {
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-    },
-    {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-    },
-    {
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-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
-        "score": 0.23909395973154363
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37105208333333334
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11602393617021277
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Sakalti/Saka-7.2B/2d2cea8b-167e-4d63-b01c-537f372672f9.json b/data/hfopenllm_v2/Sakalti/Saka-7.2B/2d2cea8b-167e-4d63-b01c-537f372672f9.json
new file mode 100644
index 000000000..fc53daeea
--- /dev/null
+++ b/data/hfopenllm_v2/Sakalti/Saka-7.2B/2d2cea8b-167e-4d63-b01c-537f372672f9.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Sakalti_Saka-7.2B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Saka-7.2B",
+    "id": "Sakalti/Saka-7.2B",
+    "developer": "Sakalti",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 7.292
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1545
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2945
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2391
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3711
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.116
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Sakalti/Saka-7.6B/10923a84-a611-4830-b84c-0e91c0628541.json b/data/hfopenllm_v2/Sakalti/Saka-7.6B/10923a84-a611-4830-b84c-0e91c0628541.json
deleted file mode 100644
index 817d37ded..000000000
--- a/data/hfopenllm_v2/Sakalti/Saka-7.6B/10923a84-a611-4830-b84c-0e91c0628541.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Sakalti_Saka-7.6B/1762652579.865891",
-  "retrieved_timestamp": "1762652579.8658922",
-  "source_data": [
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-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Sakalti/Saka-7.6B",
-    "developer": "Sakalti",
-    "inference_platform": "unknown",
-    "id": "Sakalti/Saka-7.6B",
-    "additional_details": {
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-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.616
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-  },
-  "evaluation_results": [
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-        "evaluation_description": "Accuracy on IFEval",
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-        "score_type": "continuous",
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-      "score_details": {
-        "score": 0.45242844541372446
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-    },
-    {
-      "evaluation_name": "BBH",
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-        "evaluation_description": "Accuracy on BBH",
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-    {
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-        "score_type": "continuous",
-        "min_score": 0,
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-      "score_details": {
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-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
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-        "score_type": "continuous",
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-        "max_score": 1
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-      "score_details": {
-        "score": 0.4489375
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-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.45403922872340424
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diff --git a/data/hfopenllm_v2/Sakalti/Saka-7.6B/f584f596-3a17-404a-81a2-3033ad38cad6.json b/data/hfopenllm_v2/Sakalti/Saka-7.6B/f584f596-3a17-404a-81a2-3033ad38cad6.json
new file mode 100644
index 000000000..045f0e9ed
--- /dev/null
+++ b/data/hfopenllm_v2/Sakalti/Saka-7.6B/f584f596-3a17-404a-81a2-3033ad38cad6.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Sakalti_Saka-7.6B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Saka-7.6B",
+    "id": "Sakalti/Saka-7.6B",
+    "developer": "Sakalti",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4524
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5655
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3255
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3163
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4489
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.454
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Sakalti/SakaMoe-3x1.6B-Instruct/e806f2f4-0a10-49f6-a67e-dc1dd0a59ede.json b/data/hfopenllm_v2/Sakalti/SakaMoe-3x1.6B-Instruct/e806f2f4-0a10-49f6-a67e-dc1dd0a59ede.json
deleted file mode 100644
index 885953ea3..000000000
--- a/data/hfopenllm_v2/Sakalti/SakaMoe-3x1.6B-Instruct/e806f2f4-0a10-49f6-a67e-dc1dd0a59ede.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Sakalti_SakaMoe-3x1.6B-Instruct/1762652579.866188",
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-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Sakalti/SakaMoe-3x1.6B-Instruct",
-    "developer": "Sakalti",
-    "inference_platform": "unknown",
-    "id": "Sakalti/SakaMoe-3x1.6B-Instruct",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2MoeForCausalLM",
-      "params_billions": 1.572
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.23708094522533543
-      }
-    },
-    {
-      "evaluation_name": "BBH",
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-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.328247997224552
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.054380664652567974
-      }
-    },
-    {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.26677852348993286
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.33421875
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.18824800531914893
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Sakalti/SakaMoe-3x1.6B-Instruct/ebb0930f-92be-4e1b-a2a6-779f69d2151c.json b/data/hfopenllm_v2/Sakalti/SakaMoe-3x1.6B-Instruct/ebb0930f-92be-4e1b-a2a6-779f69d2151c.json
new file mode 100644
index 000000000..e8b9b5045
--- /dev/null
+++ b/data/hfopenllm_v2/Sakalti/SakaMoe-3x1.6B-Instruct/ebb0930f-92be-4e1b-a2a6-779f69d2151c.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Sakalti_SakaMoe-3x1.6B-Instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "SakaMoe-3x1.6B-Instruct",
+    "id": "Sakalti/SakaMoe-3x1.6B-Instruct",
+    "developer": "Sakalti",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2MoeForCausalLM",
+      "params_billions": 1.572
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2371
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3282
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0544
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2668
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3342
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1882
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Sakalti/SakalFusion-7B-Alpha/2329f6f2-228a-400b-9b2d-4ad6dd278b79.json b/data/hfopenllm_v2/Sakalti/SakalFusion-7B-Alpha/2329f6f2-228a-400b-9b2d-4ad6dd278b79.json
deleted file mode 100644
index 4d0626d9a..000000000
--- a/data/hfopenllm_v2/Sakalti/SakalFusion-7B-Alpha/2329f6f2-228a-400b-9b2d-4ad6dd278b79.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Sakalti_SakalFusion-7B-Alpha/1762652579.866478",
-  "retrieved_timestamp": "1762652579.8664792",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Sakalti/SakalFusion-7B-Alpha",
-    "developer": "Sakalti",
-    "inference_platform": "unknown",
-    "id": "Sakalti/SakalFusion-7B-Alpha",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.616
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5289653674472622
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.559133672829116
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.38444108761329304
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.32550335570469796
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4581458333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4473902925531915
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Sakalti/SakalFusion-7B-Alpha/b8926567-e208-442e-8ba8-c6dd4ecc5c4a.json b/data/hfopenllm_v2/Sakalti/SakalFusion-7B-Alpha/b8926567-e208-442e-8ba8-c6dd4ecc5c4a.json
new file mode 100644
index 000000000..d9f49d39c
--- /dev/null
+++ b/data/hfopenllm_v2/Sakalti/SakalFusion-7B-Alpha/b8926567-e208-442e-8ba8-c6dd4ecc5c4a.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Sakalti_SakalFusion-7B-Alpha/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "SakalFusion-7B-Alpha",
+    "id": "Sakalti/SakalFusion-7B-Alpha",
+    "developer": "Sakalti",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.529
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5591
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3844
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3255
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4581
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4474
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Sakalti/SakalFusion-7B-Beta/4bf6efe1-81fc-48f6-96ba-8df9ffbef2f2.json b/data/hfopenllm_v2/Sakalti/SakalFusion-7B-Beta/4bf6efe1-81fc-48f6-96ba-8df9ffbef2f2.json
new file mode 100644
index 000000000..55e8681c6
--- /dev/null
+++ b/data/hfopenllm_v2/Sakalti/SakalFusion-7B-Beta/4bf6efe1-81fc-48f6-96ba-8df9ffbef2f2.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Sakalti_SakalFusion-7B-Beta/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "SakalFusion-7B-Beta",
+    "id": "Sakalti/SakalFusion-7B-Beta",
+    "developer": "Sakalti",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.613
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1809
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2881
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2433
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3872
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.109
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Sakalti/SakalFusion-7B-Beta/537a91f9-b1f3-49bf-bef7-a9ef8578c284.json b/data/hfopenllm_v2/Sakalti/SakalFusion-7B-Beta/537a91f9-b1f3-49bf-bef7-a9ef8578c284.json
deleted file mode 100644
index 61f07679f..000000000
--- a/data/hfopenllm_v2/Sakalti/SakalFusion-7B-Beta/537a91f9-b1f3-49bf-bef7-a9ef8578c284.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Sakalti_SakalFusion-7B-Beta/1762652579.866734",
-  "retrieved_timestamp": "1762652579.8667352",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Sakalti/SakalFusion-7B-Beta",
-    "developer": "Sakalti",
-    "inference_platform": "unknown",
-    "id": "Sakalti/SakalFusion-7B-Beta",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.613
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.18090222830977362
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2881298650933641
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.0
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.24328859060402686
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3872083333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.10895944148936171
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Sakalti/Tara-3.8B-v1.1/05ffcb7a-2694-4276-bf45-73e1110bc494.json b/data/hfopenllm_v2/Sakalti/Tara-3.8B-v1.1/05ffcb7a-2694-4276-bf45-73e1110bc494.json
new file mode 100644
index 000000000..1aeae7ac8
--- /dev/null
+++ b/data/hfopenllm_v2/Sakalti/Tara-3.8B-v1.1/05ffcb7a-2694-4276-bf45-73e1110bc494.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Sakalti_Tara-3.8B-v1.1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Tara-3.8B-v1.1",
+    "id": "Sakalti/Tara-3.8B-v1.1",
+    "developer": "Sakalti",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 3.821
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4062
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4886
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1156
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2945
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.478
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3281
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Sakalti/Tara-3.8B-v1.1/cd884e16-7e4d-4d17-8bad-5819604e0384.json b/data/hfopenllm_v2/Sakalti/Tara-3.8B-v1.1/cd884e16-7e4d-4d17-8bad-5819604e0384.json
deleted file mode 100644
index 030dd19d2..000000000
--- a/data/hfopenllm_v2/Sakalti/Tara-3.8B-v1.1/cd884e16-7e4d-4d17-8bad-5819604e0384.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Sakalti_Tara-3.8B-v1.1/1762652579.866961",
-  "retrieved_timestamp": "1762652579.866962",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Sakalti/Tara-3.8B-v1.1",
-    "developer": "Sakalti",
-    "inference_platform": "unknown",
-    "id": "Sakalti/Tara-3.8B-v1.1",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 3.821
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.40621661635571393
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4885743296577029
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11555891238670694
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.29446308724832215
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4779583333333333
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.328125
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Sakalti/light-1.1-3B/9da5b03b-0207-4e98-a5bf-5a658225e78f.json b/data/hfopenllm_v2/Sakalti/light-1.1-3B/9da5b03b-0207-4e98-a5bf-5a658225e78f.json
deleted file mode 100644
index b81b9bff6..000000000
--- a/data/hfopenllm_v2/Sakalti/light-1.1-3B/9da5b03b-0207-4e98-a5bf-5a658225e78f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Sakalti_light-1.1-3B/1762652579.867201",
-  "retrieved_timestamp": "1762652579.867202",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Sakalti/light-1.1-3B",
-    "developer": "Sakalti",
-    "inference_platform": "unknown",
-    "id": "Sakalti/light-1.1-3B",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 3.086
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.27345110972220377
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.28027723572953045
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
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-        "score_type": "continuous",
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-        "score": 0.011329305135951661
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-    },
-    {
-      "evaluation_name": "GPQA",
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-      },
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
-        "score": 0.3900625
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.12092752659574468
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-}
diff --git a/data/hfopenllm_v2/Sakalti/light-1.1-3B/dc3b944b-a57a-44ab-87ac-8e1882b7bcce.json b/data/hfopenllm_v2/Sakalti/light-1.1-3B/dc3b944b-a57a-44ab-87ac-8e1882b7bcce.json
new file mode 100644
index 000000000..731f06557
--- /dev/null
+++ b/data/hfopenllm_v2/Sakalti/light-1.1-3B/dc3b944b-a57a-44ab-87ac-8e1882b7bcce.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Sakalti_light-1.1-3B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "light-1.1-3B",
+    "id": "Sakalti/light-1.1-3B",
+    "developer": "Sakalti",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 3.086
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2735
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2803
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0113
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2617
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3901
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1209
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Sakalti/light-3B/154f70b4-d77c-4d1b-b85c-bc81fe8162bd.json b/data/hfopenllm_v2/Sakalti/light-3B/154f70b4-d77c-4d1b-b85c-bc81fe8162bd.json
new file mode 100644
index 000000000..08a907de4
--- /dev/null
+++ b/data/hfopenllm_v2/Sakalti/light-3B/154f70b4-d77c-4d1b-b85c-bc81fe8162bd.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Sakalti_light-3B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "light-3B",
+    "id": "Sakalti/light-3B",
+    "developer": "Sakalti",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 3.397
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5337
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4831
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2591
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2953
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4015
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3775
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Sakalti/light-3B/a1593642-8d60-4680-90aa-8c3789d536d6.json b/data/hfopenllm_v2/Sakalti/light-3B/a1593642-8d60-4680-90aa-8c3789d536d6.json
deleted file mode 100644
index 57924f8ba..000000000
--- a/data/hfopenllm_v2/Sakalti/light-3B/a1593642-8d60-4680-90aa-8c3789d536d6.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Sakalti_light-3B/1762652579.8674219",
-  "retrieved_timestamp": "1762652579.867423",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Sakalti/light-3B",
-    "developer": "Sakalti",
-    "inference_platform": "unknown",
-    "id": "Sakalti/light-3B",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 3.397
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5337360425892188
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4831034368803701
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2590634441087613
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2953020134228188
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.40149999999999997
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3774933510638298
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Sakalti/light-3b-beta/2a4293ca-2434-4752-a08f-163257e0fde4.json b/data/hfopenllm_v2/Sakalti/light-3b-beta/2a4293ca-2434-4752-a08f-163257e0fde4.json
deleted file mode 100644
index 267431f93..000000000
--- a/data/hfopenllm_v2/Sakalti/light-3b-beta/2a4293ca-2434-4752-a08f-163257e0fde4.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Sakalti_light-3b-beta/1762652579.867648",
-  "retrieved_timestamp": "1762652579.867649",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Sakalti/light-3b-beta",
-    "developer": "Sakalti",
-    "inference_platform": "unknown",
-    "id": "Sakalti/light-3b-beta",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 3.397
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5485489612007252
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.48152297262112204
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.277190332326284
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2978187919463087
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.40146875
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3758311170212766
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Sakalti/light-3b-beta/998316d2-389a-4ce0-b0b0-0430c1361de7.json b/data/hfopenllm_v2/Sakalti/light-3b-beta/998316d2-389a-4ce0-b0b0-0430c1361de7.json
new file mode 100644
index 000000000..e8992c2b0
--- /dev/null
+++ b/data/hfopenllm_v2/Sakalti/light-3b-beta/998316d2-389a-4ce0-b0b0-0430c1361de7.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Sakalti_light-3b-beta/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "light-3b-beta",
+    "id": "Sakalti/light-3b-beta",
+    "developer": "Sakalti",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 3.397
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5485
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4815
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2772
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2978
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4015
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3758
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Sakalti/light-7b-beta/a66efce1-f6d2-4fad-964b-cc4e80012145.json b/data/hfopenllm_v2/Sakalti/light-7b-beta/a66efce1-f6d2-4fad-964b-cc4e80012145.json
deleted file mode 100644
index 04e1e4876..000000000
--- a/data/hfopenllm_v2/Sakalti/light-7b-beta/a66efce1-f6d2-4fad-964b-cc4e80012145.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Sakalti_light-7b-beta/1762652579.867865",
-  "retrieved_timestamp": "1762652579.867866",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Sakalti/light-7b-beta",
-    "developer": "Sakalti",
-    "inference_platform": "unknown",
-    "id": "Sakalti/light-7b-beta",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.616
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6233870574520051
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5548193064288276
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3768882175226586
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3213087248322148
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42906249999999996
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.445561835106383
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-}
diff --git a/data/hfopenllm_v2/Sakalti/light-7b-beta/ce803cde-6e23-433c-a4d2-38c5cb5ba14b.json b/data/hfopenllm_v2/Sakalti/light-7b-beta/ce803cde-6e23-433c-a4d2-38c5cb5ba14b.json
new file mode 100644
index 000000000..0e0fb6d0e
--- /dev/null
+++ b/data/hfopenllm_v2/Sakalti/light-7b-beta/ce803cde-6e23-433c-a4d2-38c5cb5ba14b.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Sakalti_light-7b-beta/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "light-7b-beta",
+    "id": "Sakalti/light-7b-beta",
+    "developer": "Sakalti",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6234
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5548
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3769
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3213
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4291
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4456
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Sakalti/llama-3-yanyuedao-8b-instruct/2519485b-47cd-497c-a349-9e69db0266f3.json b/data/hfopenllm_v2/Sakalti/llama-3-yanyuedao-8b-instruct/2519485b-47cd-497c-a349-9e69db0266f3.json
new file mode 100644
index 000000000..6cdfb156a
--- /dev/null
+++ b/data/hfopenllm_v2/Sakalti/llama-3-yanyuedao-8b-instruct/2519485b-47cd-497c-a349-9e69db0266f3.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Sakalti_llama-3-yanyuedao-8b-instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "llama-3-yanyuedao-8b-instruct",
+    "id": "Sakalti/llama-3-yanyuedao-8b-instruct",
+    "developer": "Sakalti",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2186
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.435
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0385
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2903
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4199
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2911
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Sakalti/llama-3-yanyuedao-8b-instruct/cb550de6-4cd6-411e-9426-dc12421404ad.json b/data/hfopenllm_v2/Sakalti/llama-3-yanyuedao-8b-instruct/cb550de6-4cd6-411e-9426-dc12421404ad.json
deleted file mode 100644
index 0ae0ffb7b..000000000
--- a/data/hfopenllm_v2/Sakalti/llama-3-yanyuedao-8b-instruct/cb550de6-4cd6-411e-9426-dc12421404ad.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Sakalti_llama-3-yanyuedao-8b-instruct/1762652579.8681011",
-  "retrieved_timestamp": "1762652579.8681011",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Sakalti/llama-3-yanyuedao-8b-instruct",
-    "developer": "Sakalti",
-    "inference_platform": "unknown",
-    "id": "Sakalti/llama-3-yanyuedao-8b-instruct",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.21857116894284942
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.43497849055247495
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.03851963746223565
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2902684563758389
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41985416666666664
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.29105718085106386
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Sakalti/magro-7B/56d86e26-4ee6-4652-9b7b-a538238a24d4.json b/data/hfopenllm_v2/Sakalti/magro-7B/56d86e26-4ee6-4652-9b7b-a538238a24d4.json
new file mode 100644
index 000000000..412d9d54e
--- /dev/null
+++ b/data/hfopenllm_v2/Sakalti/magro-7B/56d86e26-4ee6-4652-9b7b-a538238a24d4.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Sakalti_magro-7B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "magro-7B",
+    "id": "Sakalti/magro-7B",
+    "developer": "Sakalti",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1344
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4186
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0204
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2953
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.446
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2765
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Sakalti/magro-7B/c2c87be8-4137-4bcc-8cbe-4589d193e94d.json b/data/hfopenllm_v2/Sakalti/magro-7B/c2c87be8-4137-4bcc-8cbe-4589d193e94d.json
deleted file mode 100644
index e21403072..000000000
--- a/data/hfopenllm_v2/Sakalti/magro-7B/c2c87be8-4137-4bcc-8cbe-4589d193e94d.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Sakalti_magro-7B/1762652579.868387",
-  "retrieved_timestamp": "1762652579.8683882",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Sakalti/magro-7B",
-    "developer": "Sakalti",
-    "inference_platform": "unknown",
-    "id": "Sakalti/magro-7B",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.13439008497453425
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4185526485966236
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.02039274924471299
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2953020134228188
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.44598958333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2765126329787234
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Sakalti/mergekit-01/416b89e4-5e8a-4131-9403-e8967a4127b8.json b/data/hfopenllm_v2/Sakalti/mergekit-01/416b89e4-5e8a-4131-9403-e8967a4127b8.json
new file mode 100644
index 000000000..6209d9fb6
--- /dev/null
+++ b/data/hfopenllm_v2/Sakalti/mergekit-01/416b89e4-5e8a-4131-9403-e8967a4127b8.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Sakalti_mergekit-01/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "mergekit-01",
+    "id": "Sakalti/mergekit-01",
+    "developer": "Sakalti",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6234
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5548
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3769
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3213
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4291
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4456
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Sakalti/mergekit-01/dd01becb-c2c0-4593-ac1e-db2ff11aa17b.json b/data/hfopenllm_v2/Sakalti/mergekit-01/dd01becb-c2c0-4593-ac1e-db2ff11aa17b.json
deleted file mode 100644
index 79514fc79..000000000
--- a/data/hfopenllm_v2/Sakalti/mergekit-01/dd01becb-c2c0-4593-ac1e-db2ff11aa17b.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Sakalti_mergekit-01/1762652579.868608",
-  "retrieved_timestamp": "1762652579.868609",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Sakalti/mergekit-01",
-    "developer": "Sakalti",
-    "inference_platform": "unknown",
-    "id": "Sakalti/mergekit-01",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.616
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6233870574520051
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5548193064288276
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3768882175226586
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3213087248322148
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42906249999999996
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.445561835106383
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Sakalti/mergekit-della_linear-vmeykci/347a90e8-d8b7-4266-8242-ceac865796a0.json b/data/hfopenllm_v2/Sakalti/mergekit-della_linear-vmeykci/347a90e8-d8b7-4266-8242-ceac865796a0.json
new file mode 100644
index 000000000..17a180e43
--- /dev/null
+++ b/data/hfopenllm_v2/Sakalti/mergekit-della_linear-vmeykci/347a90e8-d8b7-4266-8242-ceac865796a0.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Sakalti_mergekit-della_linear-vmeykci/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "mergekit-della_linear-vmeykci",
+    "id": "Sakalti/mergekit-della_linear-vmeykci",
+    "developer": "Sakalti",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.613
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1126
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2816
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0106
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2634
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3897
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1089
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Sakalti/mergekit-della_linear-vmeykci/a4bd1768-2382-47fe-a8bd-6e42bda06d2f.json b/data/hfopenllm_v2/Sakalti/mergekit-della_linear-vmeykci/a4bd1768-2382-47fe-a8bd-6e42bda06d2f.json
deleted file mode 100644
index 753f96e5a..000000000
--- a/data/hfopenllm_v2/Sakalti/mergekit-della_linear-vmeykci/a4bd1768-2382-47fe-a8bd-6e42bda06d2f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Sakalti_mergekit-della_linear-vmeykci/1762652579.868854",
-  "retrieved_timestamp": "1762652579.868856",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Sakalti/mergekit-della_linear-vmeykci",
-    "developer": "Sakalti",
-    "inference_platform": "unknown",
-    "id": "Sakalti/mergekit-della_linear-vmeykci",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.613
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1126078804239418
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.28155028620092587
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.010574018126888218
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2634228187919463
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.38968749999999996
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.10887632978723404
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Sakalti/model-3/389f7ab8-b30e-4d0c-b9a4-625e74a1f73f.json b/data/hfopenllm_v2/Sakalti/model-3/389f7ab8-b30e-4d0c-b9a4-625e74a1f73f.json
new file mode 100644
index 000000000..768fa5f46
--- /dev/null
+++ b/data/hfopenllm_v2/Sakalti/model-3/389f7ab8-b30e-4d0c-b9a4-625e74a1f73f.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Sakalti_model-3/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "model-3",
+    "id": "Sakalti/model-3",
+    "developer": "Sakalti",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6264
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5542
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3708
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3213
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4264
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4455
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Sakalti/model-3/efd2a4d7-afcd-4653-ad4f-7d4f7206be95.json b/data/hfopenllm_v2/Sakalti/model-3/efd2a4d7-afcd-4653-ad4f-7d4f7206be95.json
deleted file mode 100644
index bf5ad7ac3..000000000
--- a/data/hfopenllm_v2/Sakalti/model-3/efd2a4d7-afcd-4653-ad4f-7d4f7206be95.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Sakalti_model-3/1762652579.869146",
-  "retrieved_timestamp": "1762652579.869148",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Sakalti/model-3",
-    "developer": "Sakalti",
-    "inference_platform": "unknown",
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-        "min_score": 0,
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-        "min_score": 0,
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-    {
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-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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diff --git a/data/hfopenllm_v2/Sakalti/qwen2.5-2.3B/6ae33b7f-53a1-45c5-8b0b-d462188c3f9d.json b/data/hfopenllm_v2/Sakalti/qwen2.5-2.3B/6ae33b7f-53a1-45c5-8b0b-d462188c3f9d.json
new file mode 100644
index 000000000..a8265114f
--- /dev/null
+++ b/data/hfopenllm_v2/Sakalti/qwen2.5-2.3B/6ae33b7f-53a1-45c5-8b0b-d462188c3f9d.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Sakalti_qwen2.5-2.3B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "qwen2.5-2.3B",
+    "id": "Sakalti/qwen2.5-2.3B",
+    "developer": "Sakalti",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2Model",
+      "params_billions": 2.339
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1288
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2849
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0053
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2517
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3857
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1173
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Sakalti/tara-3.8B/695d7b01-14e6-40e4-b398-541e87a812c8.json b/data/hfopenllm_v2/Sakalti/tara-3.8B/695d7b01-14e6-40e4-b398-541e87a812c8.json
deleted file mode 100644
index e9f983a14..000000000
--- a/data/hfopenllm_v2/Sakalti/tara-3.8B/695d7b01-14e6-40e4-b398-541e87a812c8.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "retrieved_timestamp": "1762652579.869611",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Sakalti/tara-3.8B",
-    "developer": "Sakalti",
-    "inference_platform": "unknown",
-    "id": "Sakalti/tara-3.8B",
-    "additional_details": {
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-      "architecture": "LlamaForCausalLM",
-      "params_billions": 3.821
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-      },
-      "score_details": {
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-    },
-    {
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-        "score_type": "continuous",
-        "min_score": 0,
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-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-    },
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.29446308724832215
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.328125
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Sakalti/tara-3.8B/d96fb0b2-7cba-4cc4-a5f4-b8a451754857.json b/data/hfopenllm_v2/Sakalti/tara-3.8B/d96fb0b2-7cba-4cc4-a5f4-b8a451754857.json
new file mode 100644
index 000000000..87315ad45
--- /dev/null
+++ b/data/hfopenllm_v2/Sakalti/tara-3.8B/d96fb0b2-7cba-4cc4-a5f4-b8a451754857.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Sakalti_tara-3.8B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "tara-3.8B",
+    "id": "Sakalti/tara-3.8B",
+    "developer": "Sakalti",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 3.821
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4077
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4886
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1156
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2945
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.478
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3281
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Sakalti/ultiima-14B-v0.2/f3f888bb-5e99-4521-83b2-4e182f492220.json b/data/hfopenllm_v2/Sakalti/ultiima-14B-v0.2/f3f888bb-5e99-4521-83b2-4e182f492220.json
deleted file mode 100644
index a935e2236..000000000
--- a/data/hfopenllm_v2/Sakalti/ultiima-14B-v0.2/f3f888bb-5e99-4521-83b2-4e182f492220.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Sakalti_ultiima-14B-v0.2/1762652579.870035",
-  "retrieved_timestamp": "1762652579.870036",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Sakalti/ultiima-14B-v0.2",
-    "developer": "Sakalti",
-    "inference_platform": "unknown",
-    "id": "Sakalti/ultiima-14B-v0.2",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 14.766
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7069930007934502
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6472012505703305
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3995468277945619
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3825503355704698
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4793541666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5387300531914894
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Sakalti/ultiima-14B-v0.2/f8d362f6-eafc-4d11-bc40-d169d69d3a95.json b/data/hfopenllm_v2/Sakalti/ultiima-14B-v0.2/f8d362f6-eafc-4d11-bc40-d169d69d3a95.json
new file mode 100644
index 000000000..8ee1c7c15
--- /dev/null
+++ b/data/hfopenllm_v2/Sakalti/ultiima-14B-v0.2/f8d362f6-eafc-4d11-bc40-d169d69d3a95.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Sakalti_ultiima-14B-v0.2/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "ultiima-14B-v0.2",
+    "id": "Sakalti/ultiima-14B-v0.2",
+    "developer": "Sakalti",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.766
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.707
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6472
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3995
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3826
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4794
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5387
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Sakalti/ultiima-14B-v0.3/4bacd3dd-44c2-42d8-98c0-3eeb920dc0f0.json b/data/hfopenllm_v2/Sakalti/ultiima-14B-v0.3/4bacd3dd-44c2-42d8-98c0-3eeb920dc0f0.json
new file mode 100644
index 000000000..86e48a32c
--- /dev/null
+++ b/data/hfopenllm_v2/Sakalti/ultiima-14B-v0.3/4bacd3dd-44c2-42d8-98c0-3eeb920dc0f0.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Sakalti_ultiima-14B-v0.3/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "ultiima-14B-v0.3",
+    "id": "Sakalti/ultiima-14B-v0.3",
+    "developer": "Sakalti",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.766
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.704
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6398
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3965
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3767
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4754
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5337
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Sakalti/ultiima-14B-v0.3/5cd3794f-990f-4965-9fbc-7faf3216e808.json b/data/hfopenllm_v2/Sakalti/ultiima-14B-v0.3/5cd3794f-990f-4965-9fbc-7faf3216e808.json
deleted file mode 100644
index ec8dcd010..000000000
--- a/data/hfopenllm_v2/Sakalti/ultiima-14B-v0.3/5cd3794f-990f-4965-9fbc-7faf3216e808.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Sakalti_ultiima-14B-v0.3/1762652579.870242",
-  "retrieved_timestamp": "1762652579.870243",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Sakalti/ultiima-14B-v0.3",
-    "developer": "Sakalti",
-    "inference_platform": "unknown",
-    "id": "Sakalti/ultiima-14B-v0.3",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 14.766
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-    {
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-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
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-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.39652567975830816
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-    },
-    {
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-        "lower_is_better": false,
-        "score_type": "continuous",
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-        "max_score": 1
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-      "score_details": {
-        "score": 0.3766778523489933
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-    {
-      "evaluation_name": "MUSR",
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-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.47541666666666665
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5336602393617021
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Sakalti/ultiima-14B-v0.4/688f9751-e261-41c6-a7a4-2dc33a702e09.json b/data/hfopenllm_v2/Sakalti/ultiima-14B-v0.4/688f9751-e261-41c6-a7a4-2dc33a702e09.json
deleted file mode 100644
index 29e856523..000000000
--- a/data/hfopenllm_v2/Sakalti/ultiima-14B-v0.4/688f9751-e261-41c6-a7a4-2dc33a702e09.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Sakalti_ultiima-14B-v0.4/1762652579.8704672",
-  "retrieved_timestamp": "1762652579.8704839",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Sakalti/ultiima-14B-v0.4",
-    "developer": "Sakalti",
-    "inference_platform": "unknown",
-    "id": "Sakalti/ultiima-14B-v0.4",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 14.766
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
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-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6420007859105136
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3959731543624161
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4885625
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.527842420212766
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Sakalti/ultiima-14B-v0.4/de073f45-0d14-4f8a-9d3b-d4fd961186b8.json b/data/hfopenllm_v2/Sakalti/ultiima-14B-v0.4/de073f45-0d14-4f8a-9d3b-d4fd961186b8.json
new file mode 100644
index 000000000..172ff4245
--- /dev/null
+++ b/data/hfopenllm_v2/Sakalti/ultiima-14B-v0.4/de073f45-0d14-4f8a-9d3b-d4fd961186b8.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Sakalti_ultiima-14B-v0.4/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "ultiima-14B-v0.4",
+    "id": "Sakalti/ultiima-14B-v0.4",
+    "developer": "Sakalti",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.766
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3008
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.642
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3535
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.396
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4886
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5278
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Sakalti/ultiima-14B/abf448a9-decf-432d-8883-6e1492a7c040.json b/data/hfopenllm_v2/Sakalti/ultiima-14B/abf448a9-decf-432d-8883-6e1492a7c040.json
deleted file mode 100644
index ab0d9d8b9..000000000
--- a/data/hfopenllm_v2/Sakalti/ultiima-14B/abf448a9-decf-432d-8883-6e1492a7c040.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Sakalti_ultiima-14B/1762652579.869824",
-  "retrieved_timestamp": "1762652579.8698251",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Sakalti/ultiima-14B",
-    "developer": "Sakalti",
-    "inference_platform": "unknown",
-    "id": "Sakalti/ultiima-14B",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 14.77
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
-        "score": 0.4697885196374622
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37416107382550334
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4717604166666667
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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diff --git a/data/hfopenllm_v2/Sakalti/ultiima-14B/fd88d234-b3f9-4f48-896c-af58f1a69880.json b/data/hfopenllm_v2/Sakalti/ultiima-14B/fd88d234-b3f9-4f48-896c-af58f1a69880.json
new file mode 100644
index 000000000..640b74564
--- /dev/null
+++ b/data/hfopenllm_v2/Sakalti/ultiima-14B/fd88d234-b3f9-4f48-896c-af58f1a69880.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Sakalti_ultiima-14B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "ultiima-14B",
+    "id": "Sakalti/ultiima-14B",
+    "developer": "Sakalti",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.77
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5701
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6491
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4698
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3742
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4718
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5381
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Sakalti/ultiima-32B/18f686ca-453d-4a0c-9f1a-e2f4ba53399c.json b/data/hfopenllm_v2/Sakalti/ultiima-32B/18f686ca-453d-4a0c-9f1a-e2f4ba53399c.json
deleted file mode 100644
index 1012d5d75..000000000
--- a/data/hfopenllm_v2/Sakalti/ultiima-32B/18f686ca-453d-4a0c-9f1a-e2f4ba53399c.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Sakalti_ultiima-32B/1762652579.870782",
-  "retrieved_timestamp": "1762652579.870784",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Sakalti/ultiima-32B",
-    "developer": "Sakalti",
-    "inference_platform": "unknown",
-    "id": "Sakalti/ultiima-32B",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 32.764
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
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-    {
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-        "lower_is_better": false,
-        "score_type": "continuous",
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-      },
-      "score_details": {
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-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4994791666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5910073138297872
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Sakalti/ultiima-32B/273745b1-3761-463e-b9ab-7860968064eb.json b/data/hfopenllm_v2/Sakalti/ultiima-32B/273745b1-3761-463e-b9ab-7860968064eb.json
new file mode 100644
index 000000000..d7a87927c
--- /dev/null
+++ b/data/hfopenllm_v2/Sakalti/ultiima-32B/273745b1-3761-463e-b9ab-7860968064eb.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Sakalti_ultiima-32B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "ultiima-32B",
+    "id": "Sakalti/ultiima-32B",
+    "developer": "Sakalti",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 32.764
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6854
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7037
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4962
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3809
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4995
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.591
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Sakalti/ultiima-72B-v1.5/101d84d3-e741-4eb2-bd8a-db6c12022fe2.json b/data/hfopenllm_v2/Sakalti/ultiima-72B-v1.5/101d84d3-e741-4eb2-bd8a-db6c12022fe2.json
new file mode 100644
index 000000000..aec4261bf
--- /dev/null
+++ b/data/hfopenllm_v2/Sakalti/ultiima-72B-v1.5/101d84d3-e741-4eb2-bd8a-db6c12022fe2.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Sakalti_ultiima-72B-v1.5/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "ultiima-72B-v1.5",
+    "id": "Sakalti/ultiima-72B-v1.5",
+    "developer": "Sakalti",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 72.706
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.655
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7392
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4396
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4136
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4691
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6054
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Sakalti/ultiima-72B-v1.5/258aae52-b934-4ba1-bdb0-e15bd8277234.json b/data/hfopenllm_v2/Sakalti/ultiima-72B-v1.5/258aae52-b934-4ba1-bdb0-e15bd8277234.json
deleted file mode 100644
index 0b87e4749..000000000
--- a/data/hfopenllm_v2/Sakalti/ultiima-72B-v1.5/258aae52-b934-4ba1-bdb0-e15bd8277234.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Sakalti_ultiima-72B-v1.5/1762652579.8712351",
-  "retrieved_timestamp": "1762652579.8712351",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Sakalti/ultiima-72B-v1.5",
-    "developer": "Sakalti",
-    "inference_platform": "unknown",
-    "id": "Sakalti/ultiima-72B-v1.5",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 72.706
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6549610588793291
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7391727188223717
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4395770392749245
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41359060402684567
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.46909375000000003
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6053856382978723
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Sakalti/ultiima-72B/9c82deca-1998-4506-b038-c5dd592324d8.json b/data/hfopenllm_v2/Sakalti/ultiima-72B/9c82deca-1998-4506-b038-c5dd592324d8.json
new file mode 100644
index 000000000..8be07e143
--- /dev/null
+++ b/data/hfopenllm_v2/Sakalti/ultiima-72B/9c82deca-1998-4506-b038-c5dd592324d8.json
@@ -0,0 +1,132 @@
+{
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+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "ultiima-72B",
+    "id": "Sakalti/ultiima-72B",
+    "developer": "Sakalti",
+    "inference_platform": "unknown",
+    "additional_details": {
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+    }
+  },
+  "evaluation_results": [
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+        "source_type": "hf_dataset",
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+      },
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+        "score_type": "continuous",
+        "min_score": 0.0,
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+    {
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+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+      }
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+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
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+        "max_score": 1.0
+      },
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+      }
+    },
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "max_score": 1.0
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "max_score": 1.0
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+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Sakalti/ultiima-72B/cce8480a-353b-4f9b-8f6f-b2f1e9ae601a.json b/data/hfopenllm_v2/Sakalti/ultiima-72B/cce8480a-353b-4f9b-8f6f-b2f1e9ae601a.json
deleted file mode 100644
index aa9398ade..000000000
--- a/data/hfopenllm_v2/Sakalti/ultiima-72B/cce8480a-353b-4f9b-8f6f-b2f1e9ae601a.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/Sakalti_ultiima-72B/1762652579.8710139",
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
-    "name": "Sakalti/ultiima-72B",
-    "developer": "Sakalti",
-    "inference_platform": "unknown",
-    "id": "Sakalti/ultiima-72B",
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-        "lower_is_better": false,
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diff --git a/data/hfopenllm_v2/Salesforce/LLaMA-3-8B-SFR-Iterative-DPO-R/1bf65062-4526-407d-ba4f-866b045dbf3b.json b/data/hfopenllm_v2/Salesforce/LLaMA-3-8B-SFR-Iterative-DPO-R/1bf65062-4526-407d-ba4f-866b045dbf3b.json
deleted file mode 100644
index ae14a06e5..000000000
--- a/data/hfopenllm_v2/Salesforce/LLaMA-3-8B-SFR-Iterative-DPO-R/1bf65062-4526-407d-ba4f-866b045dbf3b.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/Salesforce_LLaMA-3-8B-SFR-Iterative-DPO-R/1762652579.8714519",
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-  "source_data": [
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-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
-    "name": "Salesforce/LLaMA-3-8B-SFR-Iterative-DPO-R",
-    "developer": "Salesforce",
-    "inference_platform": "unknown",
-    "id": "Salesforce/LLaMA-3-8B-SFR-Iterative-DPO-R",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
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-        "lower_is_better": false,
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-}
diff --git a/data/hfopenllm_v2/Salesforce/LLaMA-3-8B-SFR-Iterative-DPO-R/da620a94-4c0d-4c50-9619-10e12001fb5d.json b/data/hfopenllm_v2/Salesforce/LLaMA-3-8B-SFR-Iterative-DPO-R/da620a94-4c0d-4c50-9619-10e12001fb5d.json
new file mode 100644
index 000000000..d2ff7565c
--- /dev/null
+++ b/data/hfopenllm_v2/Salesforce/LLaMA-3-8B-SFR-Iterative-DPO-R/da620a94-4c0d-4c50-9619-10e12001fb5d.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Salesforce_LLaMA-3-8B-SFR-Iterative-DPO-R/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "LLaMA-3-8B-SFR-Iterative-DPO-R",
+    "id": "Salesforce/LLaMA-3-8B-SFR-Iterative-DPO-R",
+    "developer": "Salesforce",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3816
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5012
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0914
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+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2878
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3633
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3172
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/SanjiWatsuki/Kunoichi-DPO-v2-7B/51dade8f-34e7-4237-8691-22655249bf76.json b/data/hfopenllm_v2/SanjiWatsuki/Kunoichi-DPO-v2-7B/51dade8f-34e7-4237-8691-22655249bf76.json
new file mode 100644
index 000000000..ea148741d
--- /dev/null
+++ b/data/hfopenllm_v2/SanjiWatsuki/Kunoichi-DPO-v2-7B/51dade8f-34e7-4237-8691-22655249bf76.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/SanjiWatsuki_Kunoichi-DPO-v2-7B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Kunoichi-DPO-v2-7B",
+    "id": "SanjiWatsuki/Kunoichi-DPO-v2-7B",
+    "developer": "SanjiWatsuki",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5431
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+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4416
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0763
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+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2961
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4188
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3107
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/SanjiWatsuki/Kunoichi-DPO-v2-7B/dc7243af-efa9-4169-8d31-36ef75dfe2e3.json b/data/hfopenllm_v2/SanjiWatsuki/Kunoichi-DPO-v2-7B/dc7243af-efa9-4169-8d31-36ef75dfe2e3.json
deleted file mode 100644
index 577e116c4..000000000
--- a/data/hfopenllm_v2/SanjiWatsuki/Kunoichi-DPO-v2-7B/dc7243af-efa9-4169-8d31-36ef75dfe2e3.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/SanjiWatsuki_Kunoichi-DPO-v2-7B/1762652579.871708",
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diff --git a/data/hfopenllm_v2/SanjiWatsuki/Silicon-Maid-7B/5d7ffac9-a734-44ef-aa1e-43ddbe68fd6a.json b/data/hfopenllm_v2/SanjiWatsuki/Silicon-Maid-7B/5d7ffac9-a734-44ef-aa1e-43ddbe68fd6a.json
deleted file mode 100644
index 4b4125142..000000000
--- a/data/hfopenllm_v2/SanjiWatsuki/Silicon-Maid-7B/5d7ffac9-a734-44ef-aa1e-43ddbe68fd6a.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/SanjiWatsuki_Silicon-Maid-7B/1762652579.87197",
-  "retrieved_timestamp": "1762652579.8719711",
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
-    "name": "SanjiWatsuki/Silicon-Maid-7B",
-    "developer": "SanjiWatsuki",
-    "inference_platform": "unknown",
-    "id": "SanjiWatsuki/Silicon-Maid-7B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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diff --git a/data/hfopenllm_v2/SanjiWatsuki/Silicon-Maid-7B/cdd59385-0a54-4ca1-b24d-9316a70f2875.json b/data/hfopenllm_v2/SanjiWatsuki/Silicon-Maid-7B/cdd59385-0a54-4ca1-b24d-9316a70f2875.json
new file mode 100644
index 000000000..f3201e23e
--- /dev/null
+++ b/data/hfopenllm_v2/SanjiWatsuki/Silicon-Maid-7B/cdd59385-0a54-4ca1-b24d-9316a70f2875.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/SanjiWatsuki_Silicon-Maid-7B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Silicon-Maid-7B",
+    "id": "SanjiWatsuki/Silicon-Maid-7B",
+    "developer": "SanjiWatsuki",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5368
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4128
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.065
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2903
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4188
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3083
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Sao10K/70B-L3.3-Cirrus-x1/514a3103-e8a1-49e8-b9da-a85963f5b3dd.json b/data/hfopenllm_v2/Sao10K/70B-L3.3-Cirrus-x1/514a3103-e8a1-49e8-b9da-a85963f5b3dd.json
new file mode 100644
index 000000000..c45307b07
--- /dev/null
+++ b/data/hfopenllm_v2/Sao10K/70B-L3.3-Cirrus-x1/514a3103-e8a1-49e8-b9da-a85963f5b3dd.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Sao10K_70B-L3.3-Cirrus-x1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "70B-L3.3-Cirrus-x1",
+    "id": "Sao10K/70B-L3.3-Cirrus-x1",
+    "developer": "Sao10K",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 70.554
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6681
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7029
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3739
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4497
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4842
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5378
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Sao10K/70B-L3.3-Cirrus-x1/660f8ede-1b7f-4438-8a97-51db77058725.json b/data/hfopenllm_v2/Sao10K/70B-L3.3-Cirrus-x1/660f8ede-1b7f-4438-8a97-51db77058725.json
deleted file mode 100644
index cdae59ee2..000000000
--- a/data/hfopenllm_v2/Sao10K/70B-L3.3-Cirrus-x1/660f8ede-1b7f-4438-8a97-51db77058725.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Sao10K_70B-L3.3-Cirrus-x1/1762652579.8721752",
-  "retrieved_timestamp": "1762652579.8721762",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Sao10K/70B-L3.3-Cirrus-x1",
-    "developer": "Sao10K",
-    "inference_platform": "unknown",
-    "id": "Sao10K/70B-L3.3-Cirrus-x1",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 70.554
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
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-        "score_type": "continuous",
-        "min_score": 0,
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-      },
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-    },
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-        "lower_is_better": false,
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-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4841666666666667
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5378158244680851
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Sao10K/Fimbulvetr-11B-v2/135ade7c-f0d1-495a-a5b5-c95712cf0c0f.json b/data/hfopenllm_v2/Sao10K/Fimbulvetr-11B-v2/135ade7c-f0d1-495a-a5b5-c95712cf0c0f.json
deleted file mode 100644
index ef9c0f6cb..000000000
--- a/data/hfopenllm_v2/Sao10K/Fimbulvetr-11B-v2/135ade7c-f0d1-495a-a5b5-c95712cf0c0f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Sao10K_Fimbulvetr-11B-v2/1762652579.872427",
-  "retrieved_timestamp": "1762652579.872428",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Sao10K/Fimbulvetr-11B-v2",
-    "developer": "Sao10K",
-    "inference_platform": "unknown",
-    "id": "Sao10K/Fimbulvetr-11B-v2",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 10.732
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5100056738343152
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-      "evaluation_name": "MATH Level 5",
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-        "lower_is_better": false,
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-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
-        "score": 0.29194630872483224
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.43536458333333333
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.33011968085106386
-      }
-    }
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-}
diff --git a/data/hfopenllm_v2/Sao10K/Fimbulvetr-11B-v2/daafaafa-1e00-4433-95f3-91c169598ebd.json b/data/hfopenllm_v2/Sao10K/Fimbulvetr-11B-v2/daafaafa-1e00-4433-95f3-91c169598ebd.json
new file mode 100644
index 000000000..3f9b9daef
--- /dev/null
+++ b/data/hfopenllm_v2/Sao10K/Fimbulvetr-11B-v2/daafaafa-1e00-4433-95f3-91c169598ebd.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Sao10K_Fimbulvetr-11B-v2/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Fimbulvetr-11B-v2",
+    "id": "Sao10K/Fimbulvetr-11B-v2",
+    "developer": "Sao10K",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 10.732
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.51
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4544
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.068
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2919
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4354
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3301
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Sao10K/L3-70B-Euryale-v2.1/09aab7d9-93ac-4aff-840a-d4ccfb0b469d.json b/data/hfopenllm_v2/Sao10K/L3-70B-Euryale-v2.1/09aab7d9-93ac-4aff-840a-d4ccfb0b469d.json
deleted file mode 100644
index 4093fe157..000000000
--- a/data/hfopenllm_v2/Sao10K/L3-70B-Euryale-v2.1/09aab7d9-93ac-4aff-840a-d4ccfb0b469d.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Sao10K_L3-70B-Euryale-v2.1/1762652579.872639",
-  "retrieved_timestamp": "1762652579.87264",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Sao10K/L3-70B-Euryale-v2.1",
-    "developer": "Sao10K",
-    "inference_platform": "unknown",
-    "id": "Sao10K/L3-70B-Euryale-v2.1",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 70.554
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7384417789243651
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6471322811268715
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.21374622356495468
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3313758389261745
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42091666666666666
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5103889627659575
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Sao10K/L3-70B-Euryale-v2.1/50e53ad5-8693-44c1-b5c7-45b91d7e0ae4.json b/data/hfopenllm_v2/Sao10K/L3-70B-Euryale-v2.1/50e53ad5-8693-44c1-b5c7-45b91d7e0ae4.json
new file mode 100644
index 000000000..6cc9b0ce2
--- /dev/null
+++ b/data/hfopenllm_v2/Sao10K/L3-70B-Euryale-v2.1/50e53ad5-8693-44c1-b5c7-45b91d7e0ae4.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Sao10K_L3-70B-Euryale-v2.1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "L3-70B-Euryale-v2.1",
+    "id": "Sao10K/L3-70B-Euryale-v2.1",
+    "developer": "Sao10K",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 70.554
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7384
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6471
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2137
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3314
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4209
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5104
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Sao10K/L3-70B-Euryale-v2.1/bda5d02f-7973-41a3-8f8e-4e33a12b74e0.json b/data/hfopenllm_v2/Sao10K/L3-70B-Euryale-v2.1/bda5d02f-7973-41a3-8f8e-4e33a12b74e0.json
new file mode 100644
index 000000000..f445ab801
--- /dev/null
+++ b/data/hfopenllm_v2/Sao10K/L3-70B-Euryale-v2.1/bda5d02f-7973-41a3-8f8e-4e33a12b74e0.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Sao10K_L3-70B-Euryale-v2.1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "L3-70B-Euryale-v2.1",
+    "id": "Sao10K/L3-70B-Euryale-v2.1",
+    "developer": "Sao10K",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 70.554
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7281
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6503
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2243
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3314
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4196
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5096
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Sao10K/L3-70B-Euryale-v2.1/d730a2be-1cd8-4851-9ecf-55139af1e8f7.json b/data/hfopenllm_v2/Sao10K/L3-70B-Euryale-v2.1/d730a2be-1cd8-4851-9ecf-55139af1e8f7.json
deleted file mode 100644
index 5783b2708..000000000
--- a/data/hfopenllm_v2/Sao10K/L3-70B-Euryale-v2.1/d730a2be-1cd8-4851-9ecf-55139af1e8f7.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Sao10K_L3-70B-Euryale-v2.1/1762652579.872864",
-  "retrieved_timestamp": "1762652579.872865",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Sao10K/L3-70B-Euryale-v2.1",
-    "developer": "Sao10K",
-    "inference_platform": "unknown",
-    "id": "Sao10K/L3-70B-Euryale-v2.1",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 70.554
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7281003293483512
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6502778992745041
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-        "score_type": "continuous",
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diff --git a/data/hfopenllm_v2/Sao10K/L3-8B-Lunaris-v1/99ff5ca5-4409-4d9c-9ec0-4cf392afeff2.json b/data/hfopenllm_v2/Sao10K/L3-8B-Lunaris-v1/99ff5ca5-4409-4d9c-9ec0-4cf392afeff2.json
new file mode 100644
index 000000000..a7a1e4096
--- /dev/null
+++ b/data/hfopenllm_v2/Sao10K/L3-8B-Lunaris-v1/99ff5ca5-4409-4d9c-9ec0-4cf392afeff2.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Sao10K_L3-8B-Lunaris-v1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "L3-8B-Lunaris-v1",
+    "id": "Sao10K/L3-8B-Lunaris-v1",
+    "developer": "Sao10K",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6895
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5235
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0906
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3012
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3727
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3787
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Sao10K/L3-8B-Lunaris-v1/e15ed4e3-d33f-4dad-98da-e1dad098a6a1.json b/data/hfopenllm_v2/Sao10K/L3-8B-Lunaris-v1/e15ed4e3-d33f-4dad-98da-e1dad098a6a1.json
deleted file mode 100644
index 3d93d4cfa..000000000
--- a/data/hfopenllm_v2/Sao10K/L3-8B-Lunaris-v1/e15ed4e3-d33f-4dad-98da-e1dad098a6a1.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Sao10K_L3-8B-Lunaris-v1/1762652579.8733618",
-  "retrieved_timestamp": "1762652579.873365",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Sao10K/L3-8B-Lunaris-v1",
-    "developer": "Sao10K",
-    "inference_platform": "unknown",
-    "id": "Sao10K/L3-8B-Lunaris-v1",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6894573066131198
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-    {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3011744966442953
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3726666666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3787400265957447
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Sao10K/L3-8B-Niitama-v1/362f5875-4dbc-4e68-90ce-789f692bb533.json b/data/hfopenllm_v2/Sao10K/L3-8B-Niitama-v1/362f5875-4dbc-4e68-90ce-789f692bb533.json
new file mode 100644
index 000000000..70117da5c
--- /dev/null
+++ b/data/hfopenllm_v2/Sao10K/L3-8B-Niitama-v1/362f5875-4dbc-4e68-90ce-789f692bb533.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Sao10K_L3-8B-Niitama-v1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "L3-8B-Niitama-v1",
+    "id": "Sao10K/L3-8B-Niitama-v1",
+    "developer": "Sao10K",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6791
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5303
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0982
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3079
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3807
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3701
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Sao10K/L3-8B-Niitama-v1/9c10e944-3955-4478-9d07-f79769d6b884.json b/data/hfopenllm_v2/Sao10K/L3-8B-Niitama-v1/9c10e944-3955-4478-9d07-f79769d6b884.json
deleted file mode 100644
index d1ed96a35..000000000
--- a/data/hfopenllm_v2/Sao10K/L3-8B-Niitama-v1/9c10e944-3955-4478-9d07-f79769d6b884.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Sao10K_L3-8B-Niitama-v1/1762652579.8737721",
-  "retrieved_timestamp": "1762652579.873773",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Sao10K/L3-8B-Niitama-v1",
-    "developer": "Sao10K",
-    "inference_platform": "unknown",
-    "id": "Sao10K/L3-8B-Niitama-v1",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6790659893526954
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-    },
-    {
-      "evaluation_name": "BBH",
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-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5302980131787137
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.09818731117824774
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30788590604026844
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3806666666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3700964095744681
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Sao10K/L3-8B-Stheno-v3.2/85a94072-ac79-4c14-abaa-9a6424a03ab5.json b/data/hfopenllm_v2/Sao10K/L3-8B-Stheno-v3.2/85a94072-ac79-4c14-abaa-9a6424a03ab5.json
deleted file mode 100644
index f98ec9f3f..000000000
--- a/data/hfopenllm_v2/Sao10K/L3-8B-Stheno-v3.2/85a94072-ac79-4c14-abaa-9a6424a03ab5.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Sao10K_L3-8B-Stheno-v3.2/1762652579.8740559",
-  "retrieved_timestamp": "1762652579.874058",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Sao10K/L3-8B-Stheno-v3.2",
-    "developer": "Sao10K",
-    "inference_platform": "unknown",
-    "id": "Sao10K/L3-8B-Stheno-v3.2",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
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-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6872841837435781
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
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-        "evaluation_description": "Exact Match on MATH Level 5",
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-        "min_score": 0,
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-        "score_type": "continuous",
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-        "max_score": 1
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-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
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-        "score_type": "continuous",
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-        "max_score": 1
-      },
-      "score_details": {
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-    {
-      "evaluation_name": "MMLU-PRO",
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-        "score_type": "continuous",
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-}
diff --git a/data/hfopenllm_v2/Sao10K/L3-8B-Stheno-v3.2/fdb5faf6-2cdd-42bb-b154-d6e93b2348bf.json b/data/hfopenllm_v2/Sao10K/L3-8B-Stheno-v3.2/fdb5faf6-2cdd-42bb-b154-d6e93b2348bf.json
new file mode 100644
index 000000000..cb2eabee5
--- /dev/null
+++ b/data/hfopenllm_v2/Sao10K/L3-8B-Stheno-v3.2/fdb5faf6-2cdd-42bb-b154-d6e93b2348bf.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Sao10K_L3-8B-Stheno-v3.2/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "L3-8B-Stheno-v3.2",
+    "id": "Sao10K/L3-8B-Stheno-v3.2",
+    "developer": "Sao10K",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6873
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5228
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0929
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3104
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3794
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3768
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Sao10K/L3-8B-Stheno-v3.3-32K/279b82ae-62b2-4703-85f2-1e79e42366f0.json b/data/hfopenllm_v2/Sao10K/L3-8B-Stheno-v3.3-32K/279b82ae-62b2-4703-85f2-1e79e42366f0.json
deleted file mode 100644
index cbe29bc6a..000000000
--- a/data/hfopenllm_v2/Sao10K/L3-8B-Stheno-v3.3-32K/279b82ae-62b2-4703-85f2-1e79e42366f0.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Sao10K_L3-8B-Stheno-v3.3-32K/1762652579.874314",
-  "retrieved_timestamp": "1762652579.874315",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Sao10K/L3-8B-Stheno-v3.3-32K",
-    "developer": "Sao10K",
-    "inference_platform": "unknown",
-    "id": "Sao10K/L3-8B-Stheno-v3.3-32K",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.46037181345496614
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3844012923008206
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
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-        "max_score": 1
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-      "score_details": {
-        "score": 0.014350453172205438
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.25671140939597314
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3725416666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1895777925531915
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Sao10K/L3-8B-Stheno-v3.3-32K/93f829b8-b8d9-4389-a210-2a38c3a30edb.json b/data/hfopenllm_v2/Sao10K/L3-8B-Stheno-v3.3-32K/93f829b8-b8d9-4389-a210-2a38c3a30edb.json
new file mode 100644
index 000000000..317e3d07a
--- /dev/null
+++ b/data/hfopenllm_v2/Sao10K/L3-8B-Stheno-v3.3-32K/93f829b8-b8d9-4389-a210-2a38c3a30edb.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Sao10K_L3-8B-Stheno-v3.3-32K/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "L3-8B-Stheno-v3.3-32K",
+    "id": "Sao10K/L3-8B-Stheno-v3.3-32K",
+    "developer": "Sao10K",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4604
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3844
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0144
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2567
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3725
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1896
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Sao10K/MN-12B-Lyra-v3/2c83813a-8254-4765-9367-efb9ad8c5e6c.json b/data/hfopenllm_v2/Sao10K/MN-12B-Lyra-v3/2c83813a-8254-4765-9367-efb9ad8c5e6c.json
deleted file mode 100644
index 4db57ccd3..000000000
--- a/data/hfopenllm_v2/Sao10K/MN-12B-Lyra-v3/2c83813a-8254-4765-9367-efb9ad8c5e6c.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Sao10K_MN-12B-Lyra-v3/1762652579.874634",
-  "retrieved_timestamp": "1762652579.874634",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Sao10K/MN-12B-Lyra-v3",
-    "developer": "Sao10K",
-    "inference_platform": "unknown",
-    "id": "Sao10K/MN-12B-Lyra-v3",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 12.248
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4486063644463357
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4803954360397243
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.09365558912386707
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.27768456375838924
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.40190624999999996
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.32488364361702127
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Sao10K/MN-12B-Lyra-v3/6ec3554d-377b-4bf6-88ef-8a4c9e70f485.json b/data/hfopenllm_v2/Sao10K/MN-12B-Lyra-v3/6ec3554d-377b-4bf6-88ef-8a4c9e70f485.json
new file mode 100644
index 000000000..6ca309c31
--- /dev/null
+++ b/data/hfopenllm_v2/Sao10K/MN-12B-Lyra-v3/6ec3554d-377b-4bf6-88ef-8a4c9e70f485.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Sao10K_MN-12B-Lyra-v3/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "MN-12B-Lyra-v3",
+    "id": "Sao10K/MN-12B-Lyra-v3",
+    "developer": "Sao10K",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 12.248
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4486
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4804
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0937
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2777
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4019
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3249
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Saxo/Linkbricks-Horizon-AI-Avengers-V1-32B/482fbdd6-6f39-4971-ac65-1e5e181b667f.json b/data/hfopenllm_v2/Saxo/Linkbricks-Horizon-AI-Avengers-V1-32B/482fbdd6-6f39-4971-ac65-1e5e181b667f.json
deleted file mode 100644
index b6aadf0d6..000000000
--- a/data/hfopenllm_v2/Saxo/Linkbricks-Horizon-AI-Avengers-V1-32B/482fbdd6-6f39-4971-ac65-1e5e181b667f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Saxo_Linkbricks-Horizon-AI-Avengers-V1-32B/1762652579.874861",
-  "retrieved_timestamp": "1762652579.8748622",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Saxo/Linkbricks-Horizon-AI-Avengers-V1-32B",
-    "developer": "Saxo",
-    "inference_platform": "unknown",
-    "id": "Saxo/Linkbricks-Horizon-AI-Avengers-V1-32B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 32.76
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7971681804279312
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7000545067146033
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6027190332326284
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3624161073825503
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.45378125
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5792885638297872
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Saxo/Linkbricks-Horizon-AI-Avengers-V1-32B/70d749cf-2e92-4847-86de-7964fc8eb990.json b/data/hfopenllm_v2/Saxo/Linkbricks-Horizon-AI-Avengers-V1-32B/70d749cf-2e92-4847-86de-7964fc8eb990.json
new file mode 100644
index 000000000..991d8a526
--- /dev/null
+++ b/data/hfopenllm_v2/Saxo/Linkbricks-Horizon-AI-Avengers-V1-32B/70d749cf-2e92-4847-86de-7964fc8eb990.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Saxo_Linkbricks-Horizon-AI-Avengers-V1-32B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Linkbricks-Horizon-AI-Avengers-V1-32B",
+    "id": "Saxo/Linkbricks-Horizon-AI-Avengers-V1-32B",
+    "developer": "Saxo",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 32.76
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7972
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7001
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6027
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3624
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4538
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5793
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Saxo/Linkbricks-Horizon-AI-Avengers-V2-32B/0b1758f7-4aee-40a2-b33e-f519107b6687.json b/data/hfopenllm_v2/Saxo/Linkbricks-Horizon-AI-Avengers-V2-32B/0b1758f7-4aee-40a2-b33e-f519107b6687.json
deleted file mode 100644
index 2c5b8c6ab..000000000
--- a/data/hfopenllm_v2/Saxo/Linkbricks-Horizon-AI-Avengers-V2-32B/0b1758f7-4aee-40a2-b33e-f519107b6687.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Saxo_Linkbricks-Horizon-AI-Avengers-V2-32B/1762652579.875268",
-  "retrieved_timestamp": "1762652579.8752692",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Saxo/Linkbricks-Horizon-AI-Avengers-V2-32B",
-    "developer": "Saxo",
-    "inference_platform": "unknown",
-    "id": "Saxo/Linkbricks-Horizon-AI-Avengers-V2-32B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 32.76
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7956444456264933
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7023193256341814
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5664652567975831
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.26593959731543626
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41663541666666665
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5719747340425532
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Saxo/Linkbricks-Horizon-AI-Avengers-V2-32B/623f2b04-6cd7-4ea0-8844-badb0ff6c9c6.json b/data/hfopenllm_v2/Saxo/Linkbricks-Horizon-AI-Avengers-V2-32B/623f2b04-6cd7-4ea0-8844-badb0ff6c9c6.json
new file mode 100644
index 000000000..f34b82b65
--- /dev/null
+++ b/data/hfopenllm_v2/Saxo/Linkbricks-Horizon-AI-Avengers-V2-32B/623f2b04-6cd7-4ea0-8844-badb0ff6c9c6.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Saxo_Linkbricks-Horizon-AI-Avengers-V2-32B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Linkbricks-Horizon-AI-Avengers-V2-32B",
+    "id": "Saxo/Linkbricks-Horizon-AI-Avengers-V2-32B",
+    "developer": "Saxo",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 32.76
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7956
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7023
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5665
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2659
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4166
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.572
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Saxo/Linkbricks-Horizon-AI-Avengers-V3-32B/b206b1c9-3469-4b77-b85a-dcd3c6394c67.json b/data/hfopenllm_v2/Saxo/Linkbricks-Horizon-AI-Avengers-V3-32B/b206b1c9-3469-4b77-b85a-dcd3c6394c67.json
deleted file mode 100644
index 1026f1d62..000000000
--- a/data/hfopenllm_v2/Saxo/Linkbricks-Horizon-AI-Avengers-V3-32B/b206b1c9-3469-4b77-b85a-dcd3c6394c67.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Saxo_Linkbricks-Horizon-AI-Avengers-V3-32B/1762652579.875521",
-  "retrieved_timestamp": "1762652579.8755221",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Saxo/Linkbricks-Horizon-AI-Avengers-V3-32B",
-    "developer": "Saxo",
-    "inference_platform": "unknown",
-    "id": "Saxo/Linkbricks-Horizon-AI-Avengers-V3-32B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 32.764
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.8248702332034556
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6913199237437709
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6178247734138973
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.33808724832214765
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42745833333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.56640625
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Saxo/Linkbricks-Horizon-AI-Avengers-V3-32B/e1aca741-2765-4e47-b6a1-49f3d9532432.json b/data/hfopenllm_v2/Saxo/Linkbricks-Horizon-AI-Avengers-V3-32B/e1aca741-2765-4e47-b6a1-49f3d9532432.json
new file mode 100644
index 000000000..32459a45a
--- /dev/null
+++ b/data/hfopenllm_v2/Saxo/Linkbricks-Horizon-AI-Avengers-V3-32B/e1aca741-2765-4e47-b6a1-49f3d9532432.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Saxo_Linkbricks-Horizon-AI-Avengers-V3-32B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Linkbricks-Horizon-AI-Avengers-V3-32B",
+    "id": "Saxo/Linkbricks-Horizon-AI-Avengers-V3-32B",
+    "developer": "Saxo",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 32.764
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.8249
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6913
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6178
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3381
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4275
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5664
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Saxo/Linkbricks-Horizon-AI-Avengers-V4-32B/4f42366e-e6aa-4974-9a40-5781e350616d.json b/data/hfopenllm_v2/Saxo/Linkbricks-Horizon-AI-Avengers-V4-32B/4f42366e-e6aa-4974-9a40-5781e350616d.json
new file mode 100644
index 000000000..cba352636
--- /dev/null
+++ b/data/hfopenllm_v2/Saxo/Linkbricks-Horizon-AI-Avengers-V4-32B/4f42366e-e6aa-4974-9a40-5781e350616d.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Saxo_Linkbricks-Horizon-AI-Avengers-V4-32B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Linkbricks-Horizon-AI-Avengers-V4-32B",
+    "id": "Saxo/Linkbricks-Horizon-AI-Avengers-V4-32B",
+    "developer": "Saxo",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 32.764
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7631
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.692
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5363
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3616
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4643
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5752
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Saxo/Linkbricks-Horizon-AI-Avengers-V4-32B/52d4b2fe-cbd1-431f-b0e7-04ebfbe852ca.json b/data/hfopenllm_v2/Saxo/Linkbricks-Horizon-AI-Avengers-V4-32B/52d4b2fe-cbd1-431f-b0e7-04ebfbe852ca.json
deleted file mode 100644
index 93bb450f9..000000000
--- a/data/hfopenllm_v2/Saxo/Linkbricks-Horizon-AI-Avengers-V4-32B/52d4b2fe-cbd1-431f-b0e7-04ebfbe852ca.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Saxo_Linkbricks-Horizon-AI-Avengers-V4-32B/1762652579.87576",
-  "retrieved_timestamp": "1762652579.8757608",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Saxo/Linkbricks-Horizon-AI-Avengers-V4-32B",
-    "developer": "Saxo",
-    "inference_platform": "unknown",
-    "id": "Saxo/Linkbricks-Horizon-AI-Avengers-V4-32B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 32.764
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7630963620970137
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6920204096666581
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3615771812080537
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4642604166666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5752160904255319
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Saxo/Linkbricks-Horizon-AI-Avengers-V5-32B/4ec2231d-c012-4ad3-830c-8ff86c977202.json b/data/hfopenllm_v2/Saxo/Linkbricks-Horizon-AI-Avengers-V5-32B/4ec2231d-c012-4ad3-830c-8ff86c977202.json
new file mode 100644
index 000000000..9e429543e
--- /dev/null
+++ b/data/hfopenllm_v2/Saxo/Linkbricks-Horizon-AI-Avengers-V5-32B/4ec2231d-c012-4ad3-830c-8ff86c977202.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Saxo_Linkbricks-Horizon-AI-Avengers-V5-32B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Linkbricks-Horizon-AI-Avengers-V5-32B",
+    "id": "Saxo/Linkbricks-Horizon-AI-Avengers-V5-32B",
+    "developer": "Saxo",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 32.764
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7516
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6929
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5461
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3557
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4709
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5762
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Saxo/Linkbricks-Horizon-AI-Avengers-V5-32B/b1b0aac0-2921-44ab-ac1b-873b715e9b52.json b/data/hfopenllm_v2/Saxo/Linkbricks-Horizon-AI-Avengers-V5-32B/b1b0aac0-2921-44ab-ac1b-873b715e9b52.json
deleted file mode 100644
index cbafd5a62..000000000
--- a/data/hfopenllm_v2/Saxo/Linkbricks-Horizon-AI-Avengers-V5-32B/b1b0aac0-2921-44ab-ac1b-873b715e9b52.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Saxo_Linkbricks-Horizon-AI-Avengers-V5-32B/1762652579.876068",
-  "retrieved_timestamp": "1762652579.876069",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Saxo/Linkbricks-Horizon-AI-Avengers-V5-32B",
-    "developer": "Saxo",
-    "inference_platform": "unknown",
-    "id": "Saxo/Linkbricks-Horizon-AI-Avengers-V5-32B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 32.764
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7515558717536137
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6928650089977083
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5460725075528701
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.35570469798657717
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.47086458333333336
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5762134308510638
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Saxo/Linkbricks-Horizon-AI-Avengers-V6-32B/1d2e5513-bd0c-4795-8487-f5266c6e368f.json b/data/hfopenllm_v2/Saxo/Linkbricks-Horizon-AI-Avengers-V6-32B/1d2e5513-bd0c-4795-8487-f5266c6e368f.json
new file mode 100644
index 000000000..1faf938ef
--- /dev/null
+++ b/data/hfopenllm_v2/Saxo/Linkbricks-Horizon-AI-Avengers-V6-32B/1d2e5513-bd0c-4795-8487-f5266c6e368f.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Saxo_Linkbricks-Horizon-AI-Avengers-V6-32B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Linkbricks-Horizon-AI-Avengers-V6-32B",
+    "id": "Saxo/Linkbricks-Horizon-AI-Avengers-V6-32B",
+    "developer": "Saxo",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 32.76
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.8209
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.689
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6224
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3347
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4274
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5672
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Saxo/Linkbricks-Horizon-AI-Avengers-V6-32B/977a0388-5c46-42ab-bb93-91f036963f8c.json b/data/hfopenllm_v2/Saxo/Linkbricks-Horizon-AI-Avengers-V6-32B/977a0388-5c46-42ab-bb93-91f036963f8c.json
deleted file mode 100644
index e3fbf9523..000000000
--- a/data/hfopenllm_v2/Saxo/Linkbricks-Horizon-AI-Avengers-V6-32B/977a0388-5c46-42ab-bb93-91f036963f8c.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Saxo_Linkbricks-Horizon-AI-Avengers-V6-32B/1762652579.87637",
-  "retrieved_timestamp": "1762652579.876371",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Saxo/Linkbricks-Horizon-AI-Avengers-V6-32B",
-    "developer": "Saxo",
-    "inference_platform": "unknown",
-    "id": "Saxo/Linkbricks-Horizon-AI-Avengers-V6-32B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 32.76
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "BBH",
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-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
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-    },
-    {
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-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-    {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3347315436241611
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42742708333333335
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5672373670212766
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Saxo/Linkbricks-Horizon-AI-Korean-Avengers-V2-27B/104172b7-86f5-410a-a454-63e1cfbeb87f.json b/data/hfopenllm_v2/Saxo/Linkbricks-Horizon-AI-Korean-Avengers-V2-27B/104172b7-86f5-410a-a454-63e1cfbeb87f.json
new file mode 100644
index 000000000..f8ce92b90
--- /dev/null
+++ b/data/hfopenllm_v2/Saxo/Linkbricks-Horizon-AI-Korean-Avengers-V2-27B/104172b7-86f5-410a-a454-63e1cfbeb87f.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Saxo_Linkbricks-Horizon-AI-Korean-Avengers-V2-27B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Linkbricks-Horizon-AI-Korean-Avengers-V2-27B",
+    "id": "Saxo/Linkbricks-Horizon-AI-Korean-Avengers-V2-27B",
+    "developer": "Saxo",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Gemma2ForCausalLM",
+      "params_billions": 27.227
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.8146
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6463
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2802
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3473
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4139
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4599
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Saxo/Linkbricks-Horizon-AI-Korean-Avengers-V2-27B/52438151-a1c8-440c-a9be-3670b18c1ef6.json b/data/hfopenllm_v2/Saxo/Linkbricks-Horizon-AI-Korean-Avengers-V2-27B/52438151-a1c8-440c-a9be-3670b18c1ef6.json
deleted file mode 100644
index 0585654c9..000000000
--- a/data/hfopenllm_v2/Saxo/Linkbricks-Horizon-AI-Korean-Avengers-V2-27B/52438151-a1c8-440c-a9be-3670b18c1ef6.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Saxo_Linkbricks-Horizon-AI-Korean-Avengers-V2-27B/1762652579.876656",
-  "retrieved_timestamp": "1762652579.876657",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
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-  "source_metadata": {
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Saxo/Linkbricks-Horizon-AI-Korean-Avengers-V2-27B",
-    "developer": "Saxo",
-    "inference_platform": "unknown",
-    "id": "Saxo/Linkbricks-Horizon-AI-Korean-Avengers-V2-27B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Gemma2ForCausalLM",
-      "params_billions": 27.227
-    }
-  },
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-    {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.34731543624161076
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.45985704787234044
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Saxo/Linkbricks-Horizon-AI-Korean-Avengers-V3-27B/993cc036-0e33-4d0e-b1b3-f97a9645f4c5.json b/data/hfopenllm_v2/Saxo/Linkbricks-Horizon-AI-Korean-Avengers-V3-27B/993cc036-0e33-4d0e-b1b3-f97a9645f4c5.json
deleted file mode 100644
index e27011e90..000000000
--- a/data/hfopenllm_v2/Saxo/Linkbricks-Horizon-AI-Korean-Avengers-V3-27B/993cc036-0e33-4d0e-b1b3-f97a9645f4c5.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Saxo_Linkbricks-Horizon-AI-Korean-Avengers-V3-27B/1762652579.876898",
-  "retrieved_timestamp": "1762652579.876899",
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
-    "name": "Saxo/Linkbricks-Horizon-AI-Korean-Avengers-V3-27B",
-    "developer": "Saxo",
-    "inference_platform": "unknown",
-    "id": "Saxo/Linkbricks-Horizon-AI-Korean-Avengers-V3-27B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Gemma2ForCausalLM",
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-    {
-      "evaluation_name": "MMLU-PRO",
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diff --git a/data/hfopenllm_v2/Saxo/Linkbricks-Horizon-AI-Korean-Avengers-V3-27B/d28e04ac-7d18-43fb-80b8-82c0662fec79.json b/data/hfopenllm_v2/Saxo/Linkbricks-Horizon-AI-Korean-Avengers-V3-27B/d28e04ac-7d18-43fb-80b8-82c0662fec79.json
new file mode 100644
index 000000000..2df6b6d76
--- /dev/null
+++ b/data/hfopenllm_v2/Saxo/Linkbricks-Horizon-AI-Korean-Avengers-V3-27B/d28e04ac-7d18-43fb-80b8-82c0662fec79.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Saxo_Linkbricks-Horizon-AI-Korean-Avengers-V3-27B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Linkbricks-Horizon-AI-Korean-Avengers-V3-27B",
+    "id": "Saxo/Linkbricks-Horizon-AI-Korean-Avengers-V3-27B",
+    "developer": "Saxo",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Gemma2ForCausalLM",
+      "params_billions": 27.227
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.8142
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6404
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2492
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3591
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4467
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4524
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Saxo/Linkbricks-Horizon-AI-Korean-Superb-22B/20bb3819-9d85-4d84-99ba-65e33965f0c5.json b/data/hfopenllm_v2/Saxo/Linkbricks-Horizon-AI-Korean-Superb-22B/20bb3819-9d85-4d84-99ba-65e33965f0c5.json
new file mode 100644
index 000000000..f703921c4
--- /dev/null
+++ b/data/hfopenllm_v2/Saxo/Linkbricks-Horizon-AI-Korean-Superb-22B/20bb3819-9d85-4d84-99ba-65e33965f0c5.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Saxo_Linkbricks-Horizon-AI-Korean-Superb-22B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Linkbricks-Horizon-AI-Korean-Superb-22B",
+    "id": "Saxo/Linkbricks-Horizon-AI-Korean-Superb-22B",
+    "developer": "Saxo",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 22.247
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6767
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5626
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2372
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3263
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3908
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3871
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Saxo/Linkbricks-Horizon-AI-Korean-Superb-22B/53a6fd3e-37c5-4abc-b387-0ef9f4225760.json b/data/hfopenllm_v2/Saxo/Linkbricks-Horizon-AI-Korean-Superb-22B/53a6fd3e-37c5-4abc-b387-0ef9f4225760.json
deleted file mode 100644
index ef4cbd0e1..000000000
--- a/data/hfopenllm_v2/Saxo/Linkbricks-Horizon-AI-Korean-Superb-22B/53a6fd3e-37c5-4abc-b387-0ef9f4225760.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Saxo_Linkbricks-Horizon-AI-Korean-Superb-22B/1762652579.877154",
-  "retrieved_timestamp": "1762652579.877155",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Saxo/Linkbricks-Horizon-AI-Korean-Superb-22B",
-    "developer": "Saxo",
-    "inference_platform": "unknown",
-    "id": "Saxo/Linkbricks-Horizon-AI-Korean-Superb-22B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 22.247
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6766679078179231
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5625539568927603
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3263422818791946
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3907708333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3871343085106383
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Saxo/Linkbricks-Horizon-AI-Korean-Superb-27B/3a4bdf58-0137-4d85-b567-59b3fed3dad5.json b/data/hfopenllm_v2/Saxo/Linkbricks-Horizon-AI-Korean-Superb-27B/3a4bdf58-0137-4d85-b567-59b3fed3dad5.json
new file mode 100644
index 000000000..d43e428ac
--- /dev/null
+++ b/data/hfopenllm_v2/Saxo/Linkbricks-Horizon-AI-Korean-Superb-27B/3a4bdf58-0137-4d85-b567-59b3fed3dad5.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Saxo_Linkbricks-Horizon-AI-Korean-Superb-27B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Linkbricks-Horizon-AI-Korean-Superb-27B",
+    "id": "Saxo/Linkbricks-Horizon-AI-Korean-Superb-27B",
+    "developer": "Saxo",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Gemma2ForCausalLM",
+      "params_billions": 27.227
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7768
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6518
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2719
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3599
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4791
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4647
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Saxo/Linkbricks-Horizon-AI-Korean-Superb-27B/420f358d-c7a0-4bb5-9d0a-6c44e1f2a354.json b/data/hfopenllm_v2/Saxo/Linkbricks-Horizon-AI-Korean-Superb-27B/420f358d-c7a0-4bb5-9d0a-6c44e1f2a354.json
deleted file mode 100644
index 6167702e4..000000000
--- a/data/hfopenllm_v2/Saxo/Linkbricks-Horizon-AI-Korean-Superb-27B/420f358d-c7a0-4bb5-9d0a-6c44e1f2a354.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Saxo_Linkbricks-Horizon-AI-Korean-Superb-27B/1762652579.87745",
-  "retrieved_timestamp": "1762652579.877451",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Saxo/Linkbricks-Horizon-AI-Korean-Superb-27B",
-    "developer": "Saxo",
-    "inference_platform": "unknown",
-    "id": "Saxo/Linkbricks-Horizon-AI-Korean-Superb-27B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Gemma2ForCausalLM",
-      "params_billions": 27.227
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7767601076255447
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6518345685119445
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2719033232628399
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3598993288590604
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.47913541666666665
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4646775265957447
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Saxo/Linkbricks-Horizon-AI-Superb-27B/04f843ba-947c-4732-979c-2aeae7d34e5a.json b/data/hfopenllm_v2/Saxo/Linkbricks-Horizon-AI-Superb-27B/04f843ba-947c-4732-979c-2aeae7d34e5a.json
new file mode 100644
index 000000000..f7e4a247b
--- /dev/null
+++ b/data/hfopenllm_v2/Saxo/Linkbricks-Horizon-AI-Superb-27B/04f843ba-947c-4732-979c-2aeae7d34e5a.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Saxo_Linkbricks-Horizon-AI-Superb-27B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Linkbricks-Horizon-AI-Superb-27B",
+    "id": "Saxo/Linkbricks-Horizon-AI-Superb-27B",
+    "developer": "Saxo",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Gemma2ForCausalLM",
+      "params_billions": 27.227
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7302
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6186
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2221
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3574
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.465
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.406
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Saxo/Linkbricks-Horizon-AI-Superb-27B/e7007251-609e-4c81-86cf-d6fb79c896c2.json b/data/hfopenllm_v2/Saxo/Linkbricks-Horizon-AI-Superb-27B/e7007251-609e-4c81-86cf-d6fb79c896c2.json
deleted file mode 100644
index f4eab19c3..000000000
--- a/data/hfopenllm_v2/Saxo/Linkbricks-Horizon-AI-Superb-27B/e7007251-609e-4c81-86cf-d6fb79c896c2.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Saxo_Linkbricks-Horizon-AI-Superb-27B/1762652579.877677",
-  "retrieved_timestamp": "1762652579.8776782",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Saxo/Linkbricks-Horizon-AI-Superb-27B",
-    "developer": "Saxo",
-    "inference_platform": "unknown",
-    "id": "Saxo/Linkbricks-Horizon-AI-Superb-27B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Gemma2ForCausalLM",
-      "params_billions": 27.227
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7302235845334822
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6186245528925046
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.22205438066465258
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3573825503355705
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.465
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.406000664893617
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/SeaLLMs/SeaLLM-7B-v2.5/173a31d3-7d12-4ab1-a963-005a81aee767.json b/data/hfopenllm_v2/SeaLLMs/SeaLLM-7B-v2.5/173a31d3-7d12-4ab1-a963-005a81aee767.json
new file mode 100644
index 000000000..03259aebd
--- /dev/null
+++ b/data/hfopenllm_v2/SeaLLMs/SeaLLM-7B-v2.5/173a31d3-7d12-4ab1-a963-005a81aee767.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/SeaLLMs_SeaLLM-7B-v2.5/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "SeaLLM-7B-v2.5",
+    "id": "SeaLLMs/SeaLLM-7B-v2.5",
+    "developer": "SeaLLMs",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "GemmaForCausalLM",
+      "params_billions": 8.538
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4522
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.498
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1088
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.276
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4203
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3203
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/SeaLLMs/SeaLLM-7B-v2.5/7117b360-ef16-4da9-9226-b66b6aac9703.json b/data/hfopenllm_v2/SeaLLMs/SeaLLM-7B-v2.5/7117b360-ef16-4da9-9226-b66b6aac9703.json
deleted file mode 100644
index d0f77dc1a..000000000
--- a/data/hfopenllm_v2/SeaLLMs/SeaLLM-7B-v2.5/7117b360-ef16-4da9-9226-b66b6aac9703.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/SeaLLMs_SeaLLM-7B-v2.5/1762652579.878138",
-  "retrieved_timestamp": "1762652579.8781388",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "SeaLLMs/SeaLLM-7B-v2.5",
-    "developer": "SeaLLMs",
-    "inference_platform": "unknown",
-    "id": "SeaLLMs/SeaLLM-7B-v2.5",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "GemmaForCausalLM",
-      "params_billions": 8.538
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4521536190640833
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.49802029594352754
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.10876132930513595
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.276006711409396
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42032291666666666
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3203125
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/SeaLLMs/SeaLLM-7B-v2/8f41a438-e9b7-43c6-b0b2-447a71ac360f.json b/data/hfopenllm_v2/SeaLLMs/SeaLLM-7B-v2/8f41a438-e9b7-43c6-b0b2-447a71ac360f.json
deleted file mode 100644
index 0158bc4b4..000000000
--- a/data/hfopenllm_v2/SeaLLMs/SeaLLM-7B-v2/8f41a438-e9b7-43c6-b0b2-447a71ac360f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/SeaLLMs_SeaLLM-7B-v2/1762652579.877889",
-  "retrieved_timestamp": "1762652579.877889",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "SeaLLMs/SeaLLM-7B-v2",
-    "developer": "SeaLLMs",
-    "inference_platform": "unknown",
-    "id": "SeaLLMs/SeaLLM-7B-v2",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.376
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.36712367629002157
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4902100795458318
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.08534743202416918
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2785234899328859
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4069583333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30826130319148937
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/SeaLLMs/SeaLLM-7B-v2/d0555736-b614-43ca-91d7-8264e3566872.json b/data/hfopenllm_v2/SeaLLMs/SeaLLM-7B-v2/d0555736-b614-43ca-91d7-8264e3566872.json
new file mode 100644
index 000000000..98630be5e
--- /dev/null
+++ b/data/hfopenllm_v2/SeaLLMs/SeaLLM-7B-v2/d0555736-b614-43ca-91d7-8264e3566872.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/SeaLLMs_SeaLLM-7B-v2/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "SeaLLM-7B-v2",
+    "id": "SeaLLMs/SeaLLM-7B-v2",
+    "developer": "SeaLLMs",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.376
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3671
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4902
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0853
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2785
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.407
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3083
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/SeaLLMs/SeaLLMs-v3-7B-Chat/4b7b13b7-4aee-4462-87e6-aa6c15068236.json b/data/hfopenllm_v2/SeaLLMs/SeaLLMs-v3-7B-Chat/4b7b13b7-4aee-4462-87e6-aa6c15068236.json
new file mode 100644
index 000000000..05981a658
--- /dev/null
+++ b/data/hfopenllm_v2/SeaLLMs/SeaLLMs-v3-7B-Chat/4b7b13b7-4aee-4462-87e6-aa6c15068236.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/SeaLLMs_SeaLLMs-v3-7B-Chat/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "SeaLLMs-v3-7B-Chat",
+    "id": "SeaLLMs/SeaLLMs-v3-7B-Chat",
+    "developer": "SeaLLMs",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4377
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5266
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1858
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2987
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4174
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3895
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/SeaLLMs/SeaLLMs-v3-7B-Chat/f119b2b5-2303-4772-9ae0-ce8f573f86c3.json b/data/hfopenllm_v2/SeaLLMs/SeaLLMs-v3-7B-Chat/f119b2b5-2303-4772-9ae0-ce8f573f86c3.json
deleted file mode 100644
index 07684edb3..000000000
--- a/data/hfopenllm_v2/SeaLLMs/SeaLLMs-v3-7B-Chat/f119b2b5-2303-4772-9ae0-ce8f573f86c3.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/SeaLLMs_SeaLLMs-v3-7B-Chat/1762652579.8783438",
-  "retrieved_timestamp": "1762652579.878345",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "SeaLLMs/SeaLLMs-v3-7B-Chat",
-    "developer": "SeaLLMs",
-    "inference_platform": "unknown",
-    "id": "SeaLLMs/SeaLLMs-v3-7B-Chat",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.616
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.43766539448662883
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-    },
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5266406284595359
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
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-    },
-    {
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-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2986577181208054
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.417375
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/SenseLLM/ReflectionCoder-CL-34B/4b1f9ce5-bb12-42e3-b0e0-afaa784b0c4c.json b/data/hfopenllm_v2/SenseLLM/ReflectionCoder-CL-34B/4b1f9ce5-bb12-42e3-b0e0-afaa784b0c4c.json
new file mode 100644
index 000000000..e86dab4c2
--- /dev/null
+++ b/data/hfopenllm_v2/SenseLLM/ReflectionCoder-CL-34B/4b1f9ce5-bb12-42e3-b0e0-afaa784b0c4c.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/SenseLLM_ReflectionCoder-CL-34B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "ReflectionCoder-CL-34B",
+    "id": "SenseLLM/ReflectionCoder-CL-34B",
+    "developer": "SenseLLM",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 33.744
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4008
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3953
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0332
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2508
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4155
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1424
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/SenseLLM/ReflectionCoder-CL-34B/5d7a3d90-8017-4415-a1da-eb70f6145fe4.json b/data/hfopenllm_v2/SenseLLM/ReflectionCoder-CL-34B/5d7a3d90-8017-4415-a1da-eb70f6145fe4.json
deleted file mode 100644
index 0270f5cc2..000000000
--- a/data/hfopenllm_v2/SenseLLM/ReflectionCoder-CL-34B/5d7a3d90-8017-4415-a1da-eb70f6145fe4.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/SenseLLM_ReflectionCoder-CL-34B/1762652579.8785448",
-  "retrieved_timestamp": "1762652579.878546",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "SenseLLM/ReflectionCoder-CL-34B",
-    "developer": "SenseLLM",
-    "inference_platform": "unknown",
-    "id": "SenseLLM/ReflectionCoder-CL-34B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 33.744
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4007710652180658
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.39529304297033296
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.03323262839879154
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
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-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41548958333333336
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.14237034574468085
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-  ]
-}
diff --git a/data/hfopenllm_v2/SenseLLM/ReflectionCoder-DS-33B/2ee4584d-b18c-44dd-af63-22c28b92e107.json b/data/hfopenllm_v2/SenseLLM/ReflectionCoder-DS-33B/2ee4584d-b18c-44dd-af63-22c28b92e107.json
deleted file mode 100644
index 36e062af9..000000000
--- a/data/hfopenllm_v2/SenseLLM/ReflectionCoder-DS-33B/2ee4584d-b18c-44dd-af63-22c28b92e107.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/SenseLLM_ReflectionCoder-DS-33B/1762652579.878793",
-  "retrieved_timestamp": "1762652579.878794",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "SenseLLM/ReflectionCoder-DS-33B",
-    "developer": "SenseLLM",
-    "inference_platform": "unknown",
-    "id": "SenseLLM/ReflectionCoder-DS-33B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 33.34
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-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
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-        "max_score": 1
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-    {
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-        "score_type": "continuous",
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-    {
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-    {
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-      "score_details": {
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-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
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-      "score_details": {
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diff --git a/data/hfopenllm_v2/SenseLLM/ReflectionCoder-DS-33B/acbcd5a5-bcd8-4209-b35f-425feada7e8b.json b/data/hfopenllm_v2/SenseLLM/ReflectionCoder-DS-33B/acbcd5a5-bcd8-4209-b35f-425feada7e8b.json
new file mode 100644
index 000000000..20a36d5af
--- /dev/null
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@@ -0,0 +1,132 @@
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/SentientAGI/Dobby-Mini-Leashed-Llama-3.1-8B/cb9a415f-1a02-46ad-a731-bf825ddd78ae.json b/data/hfopenllm_v2/SentientAGI/Dobby-Mini-Leashed-Llama-3.1-8B/cb9a415f-1a02-46ad-a731-bf825ddd78ae.json
new file mode 100644
index 000000000..df38f37c7
--- /dev/null
+++ b/data/hfopenllm_v2/SentientAGI/Dobby-Mini-Leashed-Llama-3.1-8B/cb9a415f-1a02-46ad-a731-bf825ddd78ae.json
@@ -0,0 +1,132 @@
+{
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+  "source_metadata": {
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+        "evaluation_description": "Exact Match on MATH Level 5",
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/SentientAGI/Dobby-Mini-Unhinged-Llama-3.1-8B/92cde6db-47f4-43c6-9ad5-643c35faa226.json b/data/hfopenllm_v2/SentientAGI/Dobby-Mini-Unhinged-Llama-3.1-8B/92cde6db-47f4-43c6-9ad5-643c35faa226.json
new file mode 100644
index 000000000..771f354ce
--- /dev/null
+++ b/data/hfopenllm_v2/SentientAGI/Dobby-Mini-Unhinged-Llama-3.1-8B/92cde6db-47f4-43c6-9ad5-643c35faa226.json
@@ -0,0 +1,132 @@
+{
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+  "source_metadata": {
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+  "model_info": {
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+    "developer": "SentientAGI",
+    "inference_platform": "unknown",
+    "additional_details": {
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+      "architecture": "LlamaForCausalLM",
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+    }
+  },
+  "evaluation_results": [
+    {
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+        "score_type": "continuous",
+        "min_score": 0.0,
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+    },
+    {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
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+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "max_score": 1.0
+      },
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+      }
+    },
+    {
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+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/SeppeV/SmolLM_pretrained_with_sft_trained_with_1pc_data_on_a_preference_dpo/5e88a037-f9bd-4b39-944f-f0781bb7884f.json b/data/hfopenllm_v2/SeppeV/SmolLM_pretrained_with_sft_trained_with_1pc_data_on_a_preference_dpo/5e88a037-f9bd-4b39-944f-f0781bb7884f.json
new file mode 100644
index 000000000..d4f48f999
--- /dev/null
+++ b/data/hfopenllm_v2/SeppeV/SmolLM_pretrained_with_sft_trained_with_1pc_data_on_a_preference_dpo/5e88a037-f9bd-4b39-944f-f0781bb7884f.json
@@ -0,0 +1,132 @@
+{
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+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
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+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "SmolLM_pretrained_with_sft_trained_with_1pc_data_on_a_preference_dpo",
+    "id": "SeppeV/SmolLM_pretrained_with_sft_trained_with_1pc_data_on_a_preference_dpo",
+    "developer": "SeppeV",
+    "inference_platform": "unknown",
+    "additional_details": {
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+    }
+  },
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+        "max_score": 1.0
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+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/SeppeV/SmolLM_pretrained_with_sft_trained_with_1pc_data_on_a_preference_dpo/ff284b60-0c7c-4825-af77-5922831cb3b8.json b/data/hfopenllm_v2/SeppeV/SmolLM_pretrained_with_sft_trained_with_1pc_data_on_a_preference_dpo/ff284b60-0c7c-4825-af77-5922831cb3b8.json
deleted file mode 100644
index b9233a74f..000000000
--- a/data/hfopenllm_v2/SeppeV/SmolLM_pretrained_with_sft_trained_with_1pc_data_on_a_preference_dpo/ff284b60-0c7c-4825-af77-5922831cb3b8.json
+++ /dev/null
@@ -1,105 +0,0 @@
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-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.40320833333333334
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11610704787234043
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Sharathhebbar24/SSH_355M/9ff82d83-2a89-48d8-8ad0-91637a77bc76.json b/data/hfopenllm_v2/Sharathhebbar24/SSH_355M/9ff82d83-2a89-48d8-8ad0-91637a77bc76.json
deleted file mode 100644
index 9aadbbd6d..000000000
--- a/data/hfopenllm_v2/Sharathhebbar24/SSH_355M/9ff82d83-2a89-48d8-8ad0-91637a77bc76.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Sharathhebbar24_SSH_355M/1762652579.8797262",
-  "retrieved_timestamp": "1762652579.8797271",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Sharathhebbar24/SSH_355M",
-    "developer": "Sharathhebbar24",
-    "inference_platform": "unknown",
-    "id": "Sharathhebbar24/SSH_355M",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "GPT2LMHeadModel",
-      "params_billions": 0.355
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1423589409433636
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30985907344593705
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.00906344410876133
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.25838926174496646
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41775
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11760305851063829
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Sharathhebbar24/SSH_355M/d4b08f5d-5add-49f4-b8db-c1a12e0a5313.json b/data/hfopenllm_v2/Sharathhebbar24/SSH_355M/d4b08f5d-5add-49f4-b8db-c1a12e0a5313.json
new file mode 100644
index 000000000..ab1e96d43
--- /dev/null
+++ b/data/hfopenllm_v2/Sharathhebbar24/SSH_355M/d4b08f5d-5add-49f4-b8db-c1a12e0a5313.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Sharathhebbar24_SSH_355M/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "SSH_355M",
+    "id": "Sharathhebbar24/SSH_355M",
+    "developer": "Sharathhebbar24",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "GPT2LMHeadModel",
+      "params_billions": 0.355
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1424
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3099
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0091
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2584
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4178
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1176
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Sharathhebbar24/chat_gpt2_dpo/ac5adf39-f0a4-439b-9873-9141e0a554b1.json b/data/hfopenllm_v2/Sharathhebbar24/chat_gpt2_dpo/ac5adf39-f0a4-439b-9873-9141e0a554b1.json
new file mode 100644
index 000000000..3c6c53f61
--- /dev/null
+++ b/data/hfopenllm_v2/Sharathhebbar24/chat_gpt2_dpo/ac5adf39-f0a4-439b-9873-9141e0a554b1.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Sharathhebbar24_chat_gpt2_dpo/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "chat_gpt2_dpo",
+    "id": "Sharathhebbar24/chat_gpt2_dpo",
+    "developer": "Sharathhebbar24",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "GPT2LMHeadModel",
+      "params_billions": 0.124
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0986
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2902
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0053
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2601
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3818
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1142
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Shreyash2010/Uma-4x4B-Instruct-v0.1/62965c92-cdf4-4a3b-b035-990abaab615c.json b/data/hfopenllm_v2/Shreyash2010/Uma-4x4B-Instruct-v0.1/62965c92-cdf4-4a3b-b035-990abaab615c.json
new file mode 100644
index 000000000..5d50114d7
--- /dev/null
+++ b/data/hfopenllm_v2/Shreyash2010/Uma-4x4B-Instruct-v0.1/62965c92-cdf4-4a3b-b035-990abaab615c.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Shreyash2010_Uma-4x4B-Instruct-v0.1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Uma-4x4B-Instruct-v0.1",
+    "id": "Shreyash2010/Uma-4x4B-Instruct-v0.1",
+    "developer": "Shreyash2010",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "?",
+      "params_billions": 3.821
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5517
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5512
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1775
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3347
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4441
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.387
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Shreyash2010/Uma-4x4B-Instruct-v0.1/83fa529b-8c61-4017-92a8-ec0f46eb7bba.json b/data/hfopenllm_v2/Shreyash2010/Uma-4x4B-Instruct-v0.1/83fa529b-8c61-4017-92a8-ec0f46eb7bba.json
deleted file mode 100644
index 15e802b5b..000000000
--- a/data/hfopenllm_v2/Shreyash2010/Uma-4x4B-Instruct-v0.1/83fa529b-8c61-4017-92a8-ec0f46eb7bba.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Shreyash2010_Uma-4x4B-Instruct-v0.1/1762652579.880244",
-  "retrieved_timestamp": "1762652579.880245",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Shreyash2010/Uma-4x4B-Instruct-v0.1",
-    "developer": "Shreyash2010",
-    "inference_platform": "unknown",
-    "id": "Shreyash2010/Uma-4x4B-Instruct-v0.1",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "?",
-      "params_billions": 3.821
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5516961661724225
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5511602059856503
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.17749244712990936
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3347315436241611
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4441041666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
-        "score": 0.386968085106383
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Sicarius-Prototyping/Brainy_LLAMA/3866ece8-d70a-4061-9e86-0798ecd98bd6.json b/data/hfopenllm_v2/Sicarius-Prototyping/Brainy_LLAMA/3866ece8-d70a-4061-9e86-0798ecd98bd6.json
new file mode 100644
index 000000000..26ba36c75
--- /dev/null
+++ b/data/hfopenllm_v2/Sicarius-Prototyping/Brainy_LLAMA/3866ece8-d70a-4061-9e86-0798ecd98bd6.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Sicarius-Prototyping_Brainy_LLAMA/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Brainy_LLAMA",
+    "id": "Sicarius-Prototyping/Brainy_LLAMA",
+    "developer": "Sicarius-Prototyping",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5204
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5117
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1337
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3138
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4143
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3849
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Sicarius-Prototyping/Micropenis_1B/1ce9038a-7f1f-4b79-9fbc-9e78660094b3.json b/data/hfopenllm_v2/Sicarius-Prototyping/Micropenis_1B/1ce9038a-7f1f-4b79-9fbc-9e78660094b3.json
deleted file mode 100644
index 680dd37ed..000000000
--- a/data/hfopenllm_v2/Sicarius-Prototyping/Micropenis_1B/1ce9038a-7f1f-4b79-9fbc-9e78660094b3.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Sicarius-Prototyping_Micropenis_1B/1762652579.8808",
-  "retrieved_timestamp": "1762652579.880801",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Sicarius-Prototyping/Micropenis_1B",
-    "developer": "Sicarius-Prototyping",
-    "inference_platform": "unknown",
-    "id": "Sicarius-Prototyping/Micropenis_1B",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 0.618
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3460662154195313
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3372377910880025
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.04607250755287009
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2625838926174497
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3325416666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.18600398936170212
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Sicarius-Prototyping/Micropenis_1B/ff484d0e-bb14-4a80-ae29-2351b03cf278.json b/data/hfopenllm_v2/Sicarius-Prototyping/Micropenis_1B/ff484d0e-bb14-4a80-ae29-2351b03cf278.json
new file mode 100644
index 000000000..61ea14597
--- /dev/null
+++ b/data/hfopenllm_v2/Sicarius-Prototyping/Micropenis_1B/ff484d0e-bb14-4a80-ae29-2351b03cf278.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Sicarius-Prototyping_Micropenis_1B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Micropenis_1B",
+    "id": "Sicarius-Prototyping/Micropenis_1B",
+    "developer": "Sicarius-Prototyping",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 0.618
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3461
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3372
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0461
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2626
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3325
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.186
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Sicarius-Prototyping/bacon_and_food/06ac1718-fe71-4e05-a47f-1200e067336c.json b/data/hfopenllm_v2/Sicarius-Prototyping/bacon_and_food/06ac1718-fe71-4e05-a47f-1200e067336c.json
new file mode 100644
index 000000000..a582b1eff
--- /dev/null
+++ b/data/hfopenllm_v2/Sicarius-Prototyping/bacon_and_food/06ac1718-fe71-4e05-a47f-1200e067336c.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Sicarius-Prototyping_bacon_and_food/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "bacon_and_food",
+    "id": "Sicarius-Prototyping/bacon_and_food",
+    "developer": "Sicarius-Prototyping",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.586
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4725
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0982
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3096
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3884
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3263
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Sicarius-Prototyping/bacon_and_food/af3374c8-5a23-4a87-990b-123803107ed8.json b/data/hfopenllm_v2/Sicarius-Prototyping/bacon_and_food/af3374c8-5a23-4a87-990b-123803107ed8.json
deleted file mode 100644
index 9e7854589..000000000
--- a/data/hfopenllm_v2/Sicarius-Prototyping/bacon_and_food/af3374c8-5a23-4a87-990b-123803107ed8.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Sicarius-Prototyping_bacon_and_food/1762652579.881054",
-  "retrieved_timestamp": "1762652579.881054",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Sicarius-Prototyping/bacon_and_food",
-    "developer": "Sicarius-Prototyping",
-    "inference_platform": "unknown",
-    "id": "Sicarius-Prototyping/bacon_and_food",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5860428108529812
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.47245798883729967
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.09818731117824774
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30956375838926176
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3883854166666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3262965425531915
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/SicariusSicariiStuff/2B-ad/31fd60ef-db8f-4785-b486-7a06f1cdf981.json b/data/hfopenllm_v2/SicariusSicariiStuff/2B-ad/31fd60ef-db8f-4785-b486-7a06f1cdf981.json
deleted file mode 100644
index 16555e950..000000000
--- a/data/hfopenllm_v2/SicariusSicariiStuff/2B-ad/31fd60ef-db8f-4785-b486-7a06f1cdf981.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/SicariusSicariiStuff_2B-ad/1762652579.88126",
-  "retrieved_timestamp": "1762652579.881261",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "SicariusSicariiStuff/2B-ad",
-    "developer": "SicariusSicariiStuff",
-    "inference_platform": "unknown",
-    "id": "SicariusSicariiStuff/2B-ad",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Gemma2ForCausalLM",
-      "params_billions": 3.204
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
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-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.40922431523996955
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.05060422960725076
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.28104026845637586
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.40153124999999995
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2662067819148936
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/SicariusSicariiStuff/2B-ad/4ddb1616-7889-45ef-96de-823fee338e1d.json b/data/hfopenllm_v2/SicariusSicariiStuff/2B-ad/4ddb1616-7889-45ef-96de-823fee338e1d.json
new file mode 100644
index 000000000..01e28f2ac
--- /dev/null
+++ b/data/hfopenllm_v2/SicariusSicariiStuff/2B-ad/4ddb1616-7889-45ef-96de-823fee338e1d.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/SicariusSicariiStuff_2B-ad/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "2B-ad",
+    "id": "SicariusSicariiStuff/2B-ad",
+    "developer": "SicariusSicariiStuff",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Gemma2ForCausalLM",
+      "params_billions": 3.204
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4379
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4092
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0506
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.281
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4015
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2662
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/SicariusSicariiStuff/2B_or_not_2B/487dd91b-5bc4-4355-90d3-c82ecc789ab3.json b/data/hfopenllm_v2/SicariusSicariiStuff/2B_or_not_2B/487dd91b-5bc4-4355-90d3-c82ecc789ab3.json
new file mode 100644
index 000000000..55d96ac62
--- /dev/null
+++ b/data/hfopenllm_v2/SicariusSicariiStuff/2B_or_not_2B/487dd91b-5bc4-4355-90d3-c82ecc789ab3.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/SicariusSicariiStuff_2B_or_not_2B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "2B_or_not_2B",
+    "id": "SicariusSicariiStuff/2B_or_not_2B",
+    "developer": "SicariusSicariiStuff",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "GemmaForCausalLM",
+      "params_billions": 2.506
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2062
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3416
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0196
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2475
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3791
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1399
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/SicariusSicariiStuff/2B_or_not_2B/983cf552-1ab1-49ba-aab0-1e644e9a7acb.json b/data/hfopenllm_v2/SicariusSicariiStuff/2B_or_not_2B/983cf552-1ab1-49ba-aab0-1e644e9a7acb.json
deleted file mode 100644
index 6d65f25b3..000000000
--- a/data/hfopenllm_v2/SicariusSicariiStuff/2B_or_not_2B/983cf552-1ab1-49ba-aab0-1e644e9a7acb.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/SicariusSicariiStuff_2B_or_not_2B/1762652579.881506",
-  "retrieved_timestamp": "1762652579.881506",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "SicariusSicariiStuff/2B_or_not_2B",
-    "developer": "SicariusSicariiStuff",
-    "inference_platform": "unknown",
-    "id": "SicariusSicariiStuff/2B_or_not_2B",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "GemmaForCausalLM",
-      "params_billions": 2.506
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2062316874781136
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3415917024092019
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.019637462235649546
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.24748322147651006
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3790833333333334
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.13987699468085107
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/SicariusSicariiStuff/Dusk_Rainbow/a74e86d9-8b94-4f60-8f0c-73cc4b04d905.json b/data/hfopenllm_v2/SicariusSicariiStuff/Dusk_Rainbow/a74e86d9-8b94-4f60-8f0c-73cc4b04d905.json
new file mode 100644
index 000000000..0d3c0a4eb
--- /dev/null
+++ b/data/hfopenllm_v2/SicariusSicariiStuff/Dusk_Rainbow/a74e86d9-8b94-4f60-8f0c-73cc4b04d905.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/SicariusSicariiStuff_Dusk_Rainbow/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Dusk_Rainbow",
+    "id": "SicariusSicariiStuff/Dusk_Rainbow",
+    "developer": "SicariusSicariiStuff",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3588
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4772
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0748
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3087
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4025
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3443
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/SicariusSicariiStuff/Dusk_Rainbow/e8f1d0e1-4086-4645-983b-b9470a22b522.json b/data/hfopenllm_v2/SicariusSicariiStuff/Dusk_Rainbow/e8f1d0e1-4086-4645-983b-b9470a22b522.json
deleted file mode 100644
index 82813fe05..000000000
--- a/data/hfopenllm_v2/SicariusSicariiStuff/Dusk_Rainbow/e8f1d0e1-4086-4645-983b-b9470a22b522.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/SicariusSicariiStuff_Dusk_Rainbow/1762652579.881711",
-  "retrieved_timestamp": "1762652579.8817122",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "SicariusSicariiStuff/Dusk_Rainbow",
-    "developer": "SicariusSicariiStuff",
-    "inference_platform": "unknown",
-    "id": "SicariusSicariiStuff/Dusk_Rainbow",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3588057465303173
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.47717504280736184
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.07477341389728097
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3087248322147651
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.40252083333333327
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3443317819148936
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/SicariusSicariiStuff/Eximius_Persona_5B/98406fba-a2e4-4afd-a121-e33a723d2eb6.json b/data/hfopenllm_v2/SicariusSicariiStuff/Eximius_Persona_5B/98406fba-a2e4-4afd-a121-e33a723d2eb6.json
deleted file mode 100644
index 2054348e1..000000000
--- a/data/hfopenllm_v2/SicariusSicariiStuff/Eximius_Persona_5B/98406fba-a2e4-4afd-a121-e33a723d2eb6.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/SicariusSicariiStuff_Eximius_Persona_5B/1762652579.881908",
-  "retrieved_timestamp": "1762652579.881909",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "SicariusSicariiStuff/Eximius_Persona_5B",
-    "developer": "SicariusSicariiStuff",
-    "inference_platform": "unknown",
-    "id": "SicariusSicariiStuff/Eximius_Persona_5B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 5.821
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6559850086658954
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4511736018571028
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.10196374622356495
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.26426174496644295
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.38181249999999994
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.31399601063829785
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/SicariusSicariiStuff/Eximius_Persona_5B/9a9239ab-9e0e-449b-bd1b-6ec280fad505.json b/data/hfopenllm_v2/SicariusSicariiStuff/Eximius_Persona_5B/9a9239ab-9e0e-449b-bd1b-6ec280fad505.json
new file mode 100644
index 000000000..0bf2ac15d
--- /dev/null
+++ b/data/hfopenllm_v2/SicariusSicariiStuff/Eximius_Persona_5B/9a9239ab-9e0e-449b-bd1b-6ec280fad505.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/SicariusSicariiStuff_Eximius_Persona_5B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Eximius_Persona_5B",
+    "id": "SicariusSicariiStuff/Eximius_Persona_5B",
+    "developer": "SicariusSicariiStuff",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 5.821
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.656
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4512
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.102
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2643
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3818
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.314
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/SicariusSicariiStuff/Impish_LLAMA_3B/2c710cd5-75a6-46b7-8356-212da7bf864d.json b/data/hfopenllm_v2/SicariusSicariiStuff/Impish_LLAMA_3B/2c710cd5-75a6-46b7-8356-212da7bf864d.json
new file mode 100644
index 000000000..a3193370f
--- /dev/null
+++ b/data/hfopenllm_v2/SicariusSicariiStuff/Impish_LLAMA_3B/2c710cd5-75a6-46b7-8356-212da7bf864d.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/SicariusSicariiStuff_Impish_LLAMA_3B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Impish_LLAMA_3B",
+    "id": "SicariusSicariiStuff/Impish_LLAMA_3B",
+    "developer": "SicariusSicariiStuff",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 3.213
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.463
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4091
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1125
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2878
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3673
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2941
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/SicariusSicariiStuff/Impish_Mind_8B/377d5240-73b5-48d0-bbdc-0960ad1d9069.json b/data/hfopenllm_v2/SicariusSicariiStuff/Impish_Mind_8B/377d5240-73b5-48d0-bbdc-0960ad1d9069.json
new file mode 100644
index 000000000..4fcce76c3
--- /dev/null
+++ b/data/hfopenllm_v2/SicariusSicariiStuff/Impish_Mind_8B/377d5240-73b5-48d0-bbdc-0960ad1d9069.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/SicariusSicariiStuff_Impish_Mind_8B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Impish_Mind_8B",
+    "id": "SicariusSicariiStuff/Impish_Mind_8B",
+    "developer": "SicariusSicariiStuff",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3179
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4674
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.105
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3045
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.407
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3309
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/SicariusSicariiStuff/Impish_Mind_8B/3a0633f1-070a-416d-a7ab-f41dd44f577d.json b/data/hfopenllm_v2/SicariusSicariiStuff/Impish_Mind_8B/3a0633f1-070a-416d-a7ab-f41dd44f577d.json
deleted file mode 100644
index 7d8849729..000000000
--- a/data/hfopenllm_v2/SicariusSicariiStuff/Impish_Mind_8B/3a0633f1-070a-416d-a7ab-f41dd44f577d.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/SicariusSicariiStuff_Impish_Mind_8B/1762652579.8823712",
-  "retrieved_timestamp": "1762652579.8823712",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "SicariusSicariiStuff/Impish_Mind_8B",
-    "developer": "SicariusSicariiStuff",
-    "inference_platform": "unknown",
-    "id": "SicariusSicariiStuff/Impish_Mind_8B",
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new file mode 100644
index 000000000..644abf1f0
--- /dev/null
+++ b/data/hfopenllm_v2/SicariusSicariiStuff/Impish_QWEN_14B-1M/9f31a6da-c5bd-4143-b2f9-715c0e9f7b74.json
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diff --git a/data/hfopenllm_v2/SicariusSicariiStuff/Impish_QWEN_7B-1M/104a0157-c614-44cf-b6cc-9f15dab4b187.json b/data/hfopenllm_v2/SicariusSicariiStuff/Impish_QWEN_7B-1M/104a0157-c614-44cf-b6cc-9f15dab4b187.json
new file mode 100644
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new file mode 100644
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diff --git a/data/hfopenllm_v2/SicariusSicariiStuff/Phi-Line_14B/e29001c0-17c0-4deb-8ca2-ce9ad06d8cb3.json b/data/hfopenllm_v2/SicariusSicariiStuff/Phi-Line_14B/e29001c0-17c0-4deb-8ca2-ce9ad06d8cb3.json
new file mode 100644
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/SicariusSicariiStuff/Phi-lthy4/43d87bf5-2620-4f8e-a8b6-f86fc157d987.json b/data/hfopenllm_v2/SicariusSicariiStuff/Phi-lthy4/43d87bf5-2620-4f8e-a8b6-f86fc157d987.json
new file mode 100644
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/SicariusSicariiStuff/Qwen2.5-14B_Uncencored/735d9d75-d9d1-4553-b7cf-f8e7c2e65218.json b/data/hfopenllm_v2/SicariusSicariiStuff/Qwen2.5-14B_Uncencored/735d9d75-d9d1-4553-b7cf-f8e7c2e65218.json
new file mode 100644
index 000000000..becab3e7a
--- /dev/null
+++ b/data/hfopenllm_v2/SicariusSicariiStuff/Qwen2.5-14B_Uncencored/735d9d75-d9d1-4553-b7cf-f8e7c2e65218.json
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diff --git a/data/hfopenllm_v2/SicariusSicariiStuff/Qwen2.5-14B_Uncensored/0c6dcc87-343c-4973-a589-3e3393829184.json b/data/hfopenllm_v2/SicariusSicariiStuff/Qwen2.5-14B_Uncensored/0c6dcc87-343c-4973-a589-3e3393829184.json
new file mode 100644
index 000000000..ffe8535f1
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+++ b/data/hfopenllm_v2/SicariusSicariiStuff/Qwen2.5-14B_Uncensored/0c6dcc87-343c-4973-a589-3e3393829184.json
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/SicariusSicariiStuff/Qwen2.5-14B_Uncensored_Instruct/7c1d1657-e9ae-433f-be9d-523431bfc7ae.json b/data/hfopenllm_v2/SicariusSicariiStuff/Qwen2.5-14B_Uncensored_Instruct/7c1d1657-e9ae-433f-be9d-523431bfc7ae.json
new file mode 100644
index 000000000..79cd730d2
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/SicariusSicariiStuff/Redemption_Wind_24B/0b2d9a65-c028-4f4b-a280-dc0c35ac9516.json b/data/hfopenllm_v2/SicariusSicariiStuff/Redemption_Wind_24B/0b2d9a65-c028-4f4b-a280-dc0c35ac9516.json
new file mode 100644
index 000000000..9778a9581
--- /dev/null
+++ b/data/hfopenllm_v2/SicariusSicariiStuff/Redemption_Wind_24B/0b2d9a65-c028-4f4b-a280-dc0c35ac9516.json
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+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4262
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5432
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/SicariusSicariiStuff/Redemption_Wind_24B/21216e0b-dc97-4502-ba3d-d47ad1ac73b2.json b/data/hfopenllm_v2/SicariusSicariiStuff/Redemption_Wind_24B/21216e0b-dc97-4502-ba3d-d47ad1ac73b2.json
deleted file mode 100644
index 2c9a1add8..000000000
--- a/data/hfopenllm_v2/SicariusSicariiStuff/Redemption_Wind_24B/21216e0b-dc97-4502-ba3d-d47ad1ac73b2.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/SicariusSicariiStuff_Redemption_Wind_24B/1762652579.8843782",
-  "retrieved_timestamp": "1762652579.884379",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "SicariusSicariiStuff/Redemption_Wind_24B",
-    "developer": "SicariusSicariiStuff",
-    "inference_platform": "unknown",
-    "id": "SicariusSicariiStuff/Redemption_Wind_24B",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 23.572
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.25014517037017336
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.642816406969129
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.18580060422960726
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.38338926174496646
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4262395833333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.543218085106383
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/SicariusSicariiStuff/Winged_Imp_8B/dd1936aa-9b21-466d-b74a-807fafd9f24a.json b/data/hfopenllm_v2/SicariusSicariiStuff/Winged_Imp_8B/dd1936aa-9b21-466d-b74a-807fafd9f24a.json
deleted file mode 100644
index b3d4754a1..000000000
--- a/data/hfopenllm_v2/SicariusSicariiStuff/Winged_Imp_8B/dd1936aa-9b21-466d-b74a-807fafd9f24a.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/SicariusSicariiStuff_Winged_Imp_8B/1762652579.8845959",
-  "retrieved_timestamp": "1762652579.884597",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "SicariusSicariiStuff/Winged_Imp_8B",
-    "developer": "SicariusSicariiStuff",
-    "inference_platform": "unknown",
-    "id": "SicariusSicariiStuff/Winged_Imp_8B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.743012983328679
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5120376322048542
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.12009063444108761
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2827181208053691
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41483333333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3638630319148936
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/SicariusSicariiStuff/Winged_Imp_8B/e87e1d3f-1476-499d-a9f3-b6463b429262.json b/data/hfopenllm_v2/SicariusSicariiStuff/Winged_Imp_8B/e87e1d3f-1476-499d-a9f3-b6463b429262.json
new file mode 100644
index 000000000..d8868496d
--- /dev/null
+++ b/data/hfopenllm_v2/SicariusSicariiStuff/Winged_Imp_8B/e87e1d3f-1476-499d-a9f3-b6463b429262.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/SicariusSicariiStuff_Winged_Imp_8B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Winged_Imp_8B",
+    "id": "SicariusSicariiStuff/Winged_Imp_8B",
+    "developer": "SicariusSicariiStuff",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.743
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.512
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1201
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2827
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4148
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3639
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/SicariusSicariiStuff/Wingless_Imp_8B/2304646d-a399-40c0-8577-0bab9ad2ff3c.json b/data/hfopenllm_v2/SicariusSicariiStuff/Wingless_Imp_8B/2304646d-a399-40c0-8577-0bab9ad2ff3c.json
deleted file mode 100644
index 0b75b5f23..000000000
--- a/data/hfopenllm_v2/SicariusSicariiStuff/Wingless_Imp_8B/2304646d-a399-40c0-8577-0bab9ad2ff3c.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/SicariusSicariiStuff_Wingless_Imp_8B/1762652579.8848069",
-  "retrieved_timestamp": "1762652579.8848078",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "SicariusSicariiStuff/Wingless_Imp_8B",
-    "developer": "SicariusSicariiStuff",
-    "inference_platform": "unknown",
-    "id": "SicariusSicariiStuff/Wingless_Imp_8B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.743012983328679
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5120376322048542
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.12009063444108761
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2827181208053691
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41483333333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3638630319148936
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/SicariusSicariiStuff/Wingless_Imp_8B/246e8450-3c53-4bde-99bb-5663f751e88e.json b/data/hfopenllm_v2/SicariusSicariiStuff/Wingless_Imp_8B/246e8450-3c53-4bde-99bb-5663f751e88e.json
new file mode 100644
index 000000000..822e85e02
--- /dev/null
+++ b/data/hfopenllm_v2/SicariusSicariiStuff/Wingless_Imp_8B/246e8450-3c53-4bde-99bb-5663f751e88e.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/SicariusSicariiStuff_Wingless_Imp_8B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Wingless_Imp_8B",
+    "id": "SicariusSicariiStuff/Wingless_Imp_8B",
+    "developer": "SicariusSicariiStuff",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.743
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.512
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1201
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2827
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4148
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3639
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/SicariusSicariiStuff/Zion_Alpha/496b9e45-2f64-456e-b35e-12a94c5643b1.json b/data/hfopenllm_v2/SicariusSicariiStuff/Zion_Alpha/496b9e45-2f64-456e-b35e-12a94c5643b1.json
new file mode 100644
index 000000000..87bd4943e
--- /dev/null
+++ b/data/hfopenllm_v2/SicariusSicariiStuff/Zion_Alpha/496b9e45-2f64-456e-b35e-12a94c5643b1.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/SicariusSicariiStuff_Zion_Alpha/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Zion_Alpha",
+    "id": "SicariusSicariiStuff/Zion_Alpha",
+    "developer": "SicariusSicariiStuff",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3324
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4932
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0521
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2903
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4727
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3132
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/SicariusSicariiStuff/Zion_Alpha/9d6d36b1-f8ad-4cc8-b904-c7e3b0a923e4.json b/data/hfopenllm_v2/SicariusSicariiStuff/Zion_Alpha/9d6d36b1-f8ad-4cc8-b904-c7e3b0a923e4.json
deleted file mode 100644
index f12b86058..000000000
--- a/data/hfopenllm_v2/SicariusSicariiStuff/Zion_Alpha/9d6d36b1-f8ad-4cc8-b904-c7e3b0a923e4.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/SicariusSicariiStuff_Zion_Alpha/1762652579.885025",
-  "retrieved_timestamp": "1762652579.885026",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "SicariusSicariiStuff/Zion_Alpha",
-    "developer": "SicariusSicariiStuff",
-    "inference_platform": "unknown",
-    "id": "SicariusSicariiStuff/Zion_Alpha",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3324024698910003
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.49321099934509743
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.05211480362537765
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2902684563758389
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4726875
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.31316489361702127
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/SicariusSicariiStuff/dn_ep02/05890047-a95a-433e-b6b6-fb037592cdd1.json b/data/hfopenllm_v2/SicariusSicariiStuff/dn_ep02/05890047-a95a-433e-b6b6-fb037592cdd1.json
new file mode 100644
index 000000000..1653d6cec
--- /dev/null
+++ b/data/hfopenllm_v2/SicariusSicariiStuff/dn_ep02/05890047-a95a-433e-b6b6-fb037592cdd1.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/SicariusSicariiStuff_dn_ep02/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "dn_ep02",
+    "id": "SicariusSicariiStuff/dn_ep02",
+    "developer": "SicariusSicariiStuff",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5064
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5266
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.142
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3154
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4316
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3998
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/SicariusSicariiStuff/dn_ep02/f7f3caa2-0468-4dfb-a817-bb5cdc977911.json b/data/hfopenllm_v2/SicariusSicariiStuff/dn_ep02/f7f3caa2-0468-4dfb-a817-bb5cdc977911.json
deleted file mode 100644
index 9e450981d..000000000
--- a/data/hfopenllm_v2/SicariusSicariiStuff/dn_ep02/f7f3caa2-0468-4dfb-a817-bb5cdc977911.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/SicariusSicariiStuff_dn_ep02/1762652579.885246",
-  "retrieved_timestamp": "1762652579.885247",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "SicariusSicariiStuff/dn_ep02",
-    "developer": "SicariusSicariiStuff",
-    "inference_platform": "unknown",
-    "id": "SicariusSicariiStuff/dn_ep02",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5064340394597445
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5266008759836228
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1419939577039275
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.31543624161073824
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.43163541666666666
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.39976728723404253
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/SkyOrbis/SKY-Ko-Llama3.1-8B-lora-epoch1/4a30580c-1d25-49d4-984d-2d28ef3a5656.json b/data/hfopenllm_v2/SkyOrbis/SKY-Ko-Llama3.1-8B-lora-epoch1/4a30580c-1d25-49d4-984d-2d28ef3a5656.json
new file mode 100644
index 000000000..79a1347e0
--- /dev/null
+++ b/data/hfopenllm_v2/SkyOrbis/SKY-Ko-Llama3.1-8B-lora-epoch1/4a30580c-1d25-49d4-984d-2d28ef3a5656.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/SkyOrbis_SKY-Ko-Llama3.1-8B-lora-epoch1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "SKY-Ko-Llama3.1-8B-lora-epoch1",
+    "id": "SkyOrbis/SKY-Ko-Llama3.1-8B-lora-epoch1",
+    "developer": "SkyOrbis",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5058
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5088
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1548
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3213
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3998
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3777
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/SkyOrbis/SKY-Ko-Llama3.1-8B-lora/696d7966-d140-4f43-91df-54f02247b34f.json b/data/hfopenllm_v2/SkyOrbis/SKY-Ko-Llama3.1-8B-lora/696d7966-d140-4f43-91df-54f02247b34f.json
new file mode 100644
index 000000000..3e699beeb
--- /dev/null
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diff --git a/data/hfopenllm_v2/SkyOrbis/SKY-Ko-Llama3.2-1B-lora-epoch3/fdf10ab8-e3f9-49e6-8fd0-ed116868c217.json b/data/hfopenllm_v2/SkyOrbis/SKY-Ko-Llama3.2-1B-lora-epoch3/fdf10ab8-e3f9-49e6-8fd0-ed116868c217.json
new file mode 100644
index 000000000..cc2e232f1
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+++ b/data/hfopenllm_v2/SkyOrbis/SKY-Ko-Llama3.2-1B-lora-epoch3/fdf10ab8-e3f9-49e6-8fd0-ed116868c217.json
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diff --git a/data/hfopenllm_v2/SkyOrbis/SKY-Ko-Llama3.2-1B-lora-epoch5/9ac16d1f-d894-414d-8a14-110e971d0ba6.json b/data/hfopenllm_v2/SkyOrbis/SKY-Ko-Llama3.2-1B-lora-epoch5/9ac16d1f-d894-414d-8a14-110e971d0ba6.json
new file mode 100644
index 000000000..c6e0028d4
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diff --git a/data/hfopenllm_v2/SkyOrbis/SKY-Ko-Llama3.2-1B-lora-v2-epoch3/2eb01e0e-8f7b-4956-9a2d-b32ecaa936f6.json b/data/hfopenllm_v2/SkyOrbis/SKY-Ko-Llama3.2-1B-lora-v2-epoch3/2eb01e0e-8f7b-4956-9a2d-b32ecaa936f6.json
new file mode 100644
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/SkyOrbis/SKY-Ko-Llama3.2-1B-lora-v2-epoch5/3b221b0e-6158-471f-bcd2-b09514f28bd7.json b/data/hfopenllm_v2/SkyOrbis/SKY-Ko-Llama3.2-1B-lora-v2-epoch5/3b221b0e-6158-471f-bcd2-b09514f28bd7.json
new file mode 100644
index 000000000..e22db53cd
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/SkyOrbis/SKY-Ko-Llama3.2-3B-lora-epoch1/c8af8428-aab6-4d19-b185-2b437c0334fa.json b/data/hfopenllm_v2/SkyOrbis/SKY-Ko-Llama3.2-3B-lora-epoch1/c8af8428-aab6-4d19-b185-2b437c0334fa.json
new file mode 100644
index 000000000..e29268df8
--- /dev/null
+++ b/data/hfopenllm_v2/SkyOrbis/SKY-Ko-Llama3.2-3B-lora-epoch1/c8af8428-aab6-4d19-b185-2b437c0334fa.json
@@ -0,0 +1,132 @@
+{
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+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "SKY-Ko-Llama3.2-3B-lora-epoch1",
+    "id": "SkyOrbis/SKY-Ko-Llama3.2-3B-lora-epoch1",
+    "developer": "SkyOrbis",
+    "inference_platform": "unknown",
+    "additional_details": {
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+      "params_billions": 3.213
+    }
+  },
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+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
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+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+    },
+    {
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+      "source_data": {
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+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
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+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
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+      },
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+    },
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+        "hf_repo": "TAUR-Lab/MuSR"
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+        "lower_is_better": false,
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+    {
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+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3004
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/SkyOrbis/SKY-Ko-Llama3.2-3B-lora-epoch2/c617d12b-c37f-47ef-9704-e19774c67aeb.json b/data/hfopenllm_v2/SkyOrbis/SKY-Ko-Llama3.2-3B-lora-epoch2/c617d12b-c37f-47ef-9704-e19774c67aeb.json
new file mode 100644
index 000000000..69fae55da
--- /dev/null
+++ b/data/hfopenllm_v2/SkyOrbis/SKY-Ko-Llama3.2-3B-lora-epoch2/c617d12b-c37f-47ef-9704-e19774c67aeb.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/SkyOrbis_SKY-Ko-Llama3.2-3B-lora-epoch2/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "SKY-Ko-Llama3.2-3B-lora-epoch2",
+    "id": "SkyOrbis/SKY-Ko-Llama3.2-3B-lora-epoch2",
+    "developer": "SkyOrbis",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 3.213
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5331
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.44
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+      }
+    },
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+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
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+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/SkyOrbis/SKY-Ko-Llama3.2-3B-lora-epoch3/577f31e2-1808-45e2-a528-5933019cfa85.json b/data/hfopenllm_v2/SkyOrbis/SKY-Ko-Llama3.2-3B-lora-epoch3/577f31e2-1808-45e2-a528-5933019cfa85.json
new file mode 100644
index 000000000..44054c6cc
--- /dev/null
+++ b/data/hfopenllm_v2/SkyOrbis/SKY-Ko-Llama3.2-3B-lora-epoch3/577f31e2-1808-45e2-a528-5933019cfa85.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/SkyOrbis_SKY-Ko-Llama3.2-3B-lora-epoch3/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "SKY-Ko-Llama3.2-3B-lora-epoch3",
+    "id": "SkyOrbis/SKY-Ko-Llama3.2-3B-lora-epoch3",
+    "developer": "SkyOrbis",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 3.213
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5331
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.44
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2919
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3522
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3004
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/SkyOrbis/SKY-Ko-Qwen2.5-3B-Instruct/7bd7f5c8-be9e-473e-be18-03ad22a195ee.json b/data/hfopenllm_v2/SkyOrbis/SKY-Ko-Qwen2.5-3B-Instruct/7bd7f5c8-be9e-473e-be18-03ad22a195ee.json
new file mode 100644
index 000000000..db8427937
--- /dev/null
+++ b/data/hfopenllm_v2/SkyOrbis/SKY-Ko-Qwen2.5-3B-Instruct/7bd7f5c8-be9e-473e-be18-03ad22a195ee.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/SkyOrbis_SKY-Ko-Qwen2.5-3B-Instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "SKY-Ko-Qwen2.5-3B-Instruct",
+    "id": "SkyOrbis/SKY-Ko-Qwen2.5-3B-Instruct",
+    "developer": "SkyOrbis",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 3.086
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3534
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4265
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0695
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2794
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4024
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2812
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/SkyOrbis/SKY-Ko-Qwen2.5-3B-Instruct/bdcf5d38-55d2-4f55-8bd1-7f4cd94f758c.json b/data/hfopenllm_v2/SkyOrbis/SKY-Ko-Qwen2.5-3B-Instruct/bdcf5d38-55d2-4f55-8bd1-7f4cd94f758c.json
deleted file mode 100644
index 64d707df5..000000000
--- a/data/hfopenllm_v2/SkyOrbis/SKY-Ko-Qwen2.5-3B-Instruct/bdcf5d38-55d2-4f55-8bd1-7f4cd94f758c.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/SkyOrbis_SKY-Ko-Qwen2.5-3B-Instruct/1762652579.887695",
-  "retrieved_timestamp": "1762652579.8876958",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "SkyOrbis/SKY-Ko-Qwen2.5-3B-Instruct",
-    "developer": "SkyOrbis",
-    "inference_platform": "unknown",
-    "id": "SkyOrbis/SKY-Ko-Qwen2.5-3B-Instruct",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 3.086
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-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
-        "score": 0.3534100630770799
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4264821228336018
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.06948640483383686
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.27936241610738255
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.40236458333333336
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.28116688829787234
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/SkyOrbis/SKY-Ko-Qwen2.5-7B-Instruct-SFT-step-15000/5036a549-5583-4775-935a-1a12b6de3e7d.json b/data/hfopenllm_v2/SkyOrbis/SKY-Ko-Qwen2.5-7B-Instruct-SFT-step-15000/5036a549-5583-4775-935a-1a12b6de3e7d.json
new file mode 100644
index 000000000..ce701d5f4
--- /dev/null
+++ b/data/hfopenllm_v2/SkyOrbis/SKY-Ko-Qwen2.5-7B-Instruct-SFT-step-15000/5036a549-5583-4775-935a-1a12b6de3e7d.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/SkyOrbis_SKY-Ko-Qwen2.5-7B-Instruct-SFT-step-15000/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "SKY-Ko-Qwen2.5-7B-Instruct-SFT-step-15000",
+    "id": "SkyOrbis/SKY-Ko-Qwen2.5-7B-Instruct-SFT-step-15000",
+    "developer": "SkyOrbis",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3819
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5078
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1866
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3272
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4436
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3914
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/SkyOrbis/SKY-Ko-Qwen2.5-7B-Instruct-SFT-step-15000/7875e792-80dd-4fa8-9743-b8ef42a4cdb7.json b/data/hfopenllm_v2/SkyOrbis/SKY-Ko-Qwen2.5-7B-Instruct-SFT-step-15000/7875e792-80dd-4fa8-9743-b8ef42a4cdb7.json
deleted file mode 100644
index 95fefa175..000000000
--- a/data/hfopenllm_v2/SkyOrbis/SKY-Ko-Qwen2.5-7B-Instruct-SFT-step-15000/7875e792-80dd-4fa8-9743-b8ef42a4cdb7.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/SkyOrbis_SKY-Ko-Qwen2.5-7B-Instruct-SFT-step-15000/1762652579.888021",
-  "retrieved_timestamp": "1762652579.888022",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "SkyOrbis/SKY-Ko-Qwen2.5-7B-Instruct-SFT-step-15000",
-    "developer": "SkyOrbis",
-    "inference_platform": "unknown",
-    "id": "SkyOrbis/SKY-Ko-Qwen2.5-7B-Instruct-SFT-step-15000",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.616
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.38188672721711725
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5077962006048589
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1865558912386707
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3271812080536913
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.44360416666666663
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3913730053191489
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/SkyOrbis/SKY-Ko-Qwen2.5-7B-Instruct-SFT-step-5000/5c0ffff9-542c-424e-88e9-89584e686e12.json b/data/hfopenllm_v2/SkyOrbis/SKY-Ko-Qwen2.5-7B-Instruct-SFT-step-5000/5c0ffff9-542c-424e-88e9-89584e686e12.json
new file mode 100644
index 000000000..08f3d6990
--- /dev/null
+++ b/data/hfopenllm_v2/SkyOrbis/SKY-Ko-Qwen2.5-7B-Instruct-SFT-step-5000/5c0ffff9-542c-424e-88e9-89584e686e12.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/SkyOrbis_SKY-Ko-Qwen2.5-7B-Instruct-SFT-step-5000/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "SKY-Ko-Qwen2.5-7B-Instruct-SFT-step-5000",
+    "id": "SkyOrbis/SKY-Ko-Qwen2.5-7B-Instruct-SFT-step-5000",
+    "developer": "SkyOrbis",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3812
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.539
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.21
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3029
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4238
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4238
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/SkyOrbis/SKY-Ko-Qwen2.5-7B-Instruct-SFT-step-5000/9354b915-68cd-47ca-a1e8-7481a8b33c49.json b/data/hfopenllm_v2/SkyOrbis/SKY-Ko-Qwen2.5-7B-Instruct-SFT-step-5000/9354b915-68cd-47ca-a1e8-7481a8b33c49.json
deleted file mode 100644
index 0a6014d0d..000000000
--- a/data/hfopenllm_v2/SkyOrbis/SKY-Ko-Qwen2.5-7B-Instruct-SFT-step-5000/9354b915-68cd-47ca-a1e8-7481a8b33c49.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/SkyOrbis_SKY-Ko-Qwen2.5-7B-Instruct-SFT-step-5000/1762652579.8882601",
-  "retrieved_timestamp": "1762652579.888261",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "SkyOrbis/SKY-Ko-Qwen2.5-7B-Instruct-SFT-step-5000",
-    "developer": "SkyOrbis",
-    "inference_platform": "unknown",
-    "id": "SkyOrbis/SKY-Ko-Qwen2.5-7B-Instruct-SFT-step-5000",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.616
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3812373391490135
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5389864554242366
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.20996978851963746
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3028523489932886
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4237916666666666
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42378656914893614
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Skywork/Skywork-Reward-Gemma-2-27B-v0.2/5c6a045d-2c90-4938-9185-9c1a0f82903a.json b/data/hfopenllm_v2/Skywork/Skywork-Reward-Gemma-2-27B-v0.2/5c6a045d-2c90-4938-9185-9c1a0f82903a.json
new file mode 100644
index 000000000..ef679628f
--- /dev/null
+++ b/data/hfopenllm_v2/Skywork/Skywork-Reward-Gemma-2-27B-v0.2/5c6a045d-2c90-4938-9185-9c1a0f82903a.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Skywork_Skywork-Reward-Gemma-2-27B-v0.2/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Skywork-Reward-Gemma-2-27B-v0.2",
+    "id": "Skywork/Skywork-Reward-Gemma-2-27B-v0.2",
+    "developer": "Skywork",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Gemma2ForSequenceClassification",
+      "params_billions": 27.227
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7807
+      }
+    },
+    {
+      "evaluation_name": "BBH",
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Skywork/Skywork-o1-Open-Llama-3.1-8B/02480176-2058-4e71-a970-9698be8d235e.json b/data/hfopenllm_v2/Skywork/Skywork-o1-Open-Llama-3.1-8B/02480176-2058-4e71-a970-9698be8d235e.json
new file mode 100644
index 000000000..92fd0cf95
--- /dev/null
+++ b/data/hfopenllm_v2/Skywork/Skywork-o1-Open-Llama-3.1-8B/02480176-2058-4e71-a970-9698be8d235e.json
@@ -0,0 +1,132 @@
+{
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+    "source_type": "documentation",
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+  "model_info": {
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+    "id": "Skywork/Skywork-o1-Open-Llama-3.1-8B",
+    "developer": "Skywork",
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+      },
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+      },
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+        "evaluation_description": "Exact Match on MATH Level 5",
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+      },
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+        "evaluation_description": "Accuracy on MUSR",
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+        "score_type": "continuous",
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Solshine/Brimful-merged-replete/4be1e5b4-254c-4287-907d-cc845042de37.json b/data/hfopenllm_v2/Solshine/Brimful-merged-replete/4be1e5b4-254c-4287-907d-cc845042de37.json
new file mode 100644
index 000000000..8374a1a8d
--- /dev/null
+++ b/data/hfopenllm_v2/Solshine/Brimful-merged-replete/4be1e5b4-254c-4287-907d-cc845042de37.json
@@ -0,0 +1,132 @@
+{
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+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
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+  "evaluation_results": [
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+        "hf_repo": "SaylorTwift/bbh"
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+        "max_score": 1.0
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+      "score_details": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
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+        "evaluation_description": "Exact Match on MATH Level 5",
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Solshine/Brimful-merged-replete/6523a08c-7a43-4784-9650-e1d5144fcfcf.json b/data/hfopenllm_v2/Solshine/Brimful-merged-replete/6523a08c-7a43-4784-9650-e1d5144fcfcf.json
deleted file mode 100644
index bd3f29b38..000000000
--- a/data/hfopenllm_v2/Solshine/Brimful-merged-replete/6523a08c-7a43-4784-9650-e1d5144fcfcf.json
+++ /dev/null
@@ -1,105 +0,0 @@
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-    "evaluator_relationship": "third_party",
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-    "developer": "Solshine",
-    "inference_platform": "unknown",
-    "id": "Solshine/Brimful-merged-replete",
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-    }
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-    {
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-}
diff --git a/data/hfopenllm_v2/Solshine/Llama-3-1-big-thoughtful-passthrough-merge-2/21b51852-5cad-414e-92d5-31878f025d67.json b/data/hfopenllm_v2/Solshine/Llama-3-1-big-thoughtful-passthrough-merge-2/21b51852-5cad-414e-92d5-31878f025d67.json
new file mode 100644
index 000000000..92595ba08
--- /dev/null
+++ b/data/hfopenllm_v2/Solshine/Llama-3-1-big-thoughtful-passthrough-merge-2/21b51852-5cad-414e-92d5-31878f025d67.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Solshine_Llama-3-1-big-thoughtful-passthrough-merge-2/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-3-1-big-thoughtful-passthrough-merge-2",
+    "id": "Solshine/Llama-3-1-big-thoughtful-passthrough-merge-2",
+    "developer": "Solshine",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 18.5
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "max_score": 1.0
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+    },
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
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+        "min_score": 0.0,
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+      },
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+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2592
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1185
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Sorawiz/Gemma-9B-Base/9eb07d4a-1f01-4696-9137-d477ffca43be.json b/data/hfopenllm_v2/Sorawiz/Gemma-9B-Base/9eb07d4a-1f01-4696-9137-d477ffca43be.json
new file mode 100644
index 000000000..57b9d2ddf
--- /dev/null
+++ b/data/hfopenllm_v2/Sorawiz/Gemma-9B-Base/9eb07d4a-1f01-4696-9137-d477ffca43be.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Sorawiz_Gemma-9B-Base/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Gemma-9B-Base",
+    "id": "Sorawiz/Gemma-9B-Base",
+    "developer": "Sorawiz",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Gemma2ForCausalLM",
+      "params_billions": 10.159
+    }
+  },
+  "evaluation_results": [
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1667
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.593
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0982
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3398
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4045
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4235
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Sorawiz/Gemma-Creative-9B-Base/4236485b-aa92-4bc4-a652-17ed3231ecf4.json b/data/hfopenllm_v2/Sorawiz/Gemma-Creative-9B-Base/4236485b-aa92-4bc4-a652-17ed3231ecf4.json
new file mode 100644
index 000000000..5a311b551
--- /dev/null
+++ b/data/hfopenllm_v2/Sorawiz/Gemma-Creative-9B-Base/4236485b-aa92-4bc4-a652-17ed3231ecf4.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Sorawiz_Gemma-Creative-9B-Base/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Gemma-Creative-9B-Base",
+    "id": "Sorawiz/Gemma-Creative-9B-Base",
+    "developer": "Sorawiz",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Gemma2ForCausalLM",
+      "params_billions": 10.159
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1515
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5459
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0778
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3297
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4019
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4008
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Sourjayon/DeepSeek-R1-8b-Sify/55a6c2c7-d29e-43a2-abd6-435117967a5d.json b/data/hfopenllm_v2/Sourjayon/DeepSeek-R1-8b-Sify/55a6c2c7-d29e-43a2-abd6-435117967a5d.json
deleted file mode 100644
index d46a8fea5..000000000
--- a/data/hfopenllm_v2/Sourjayon/DeepSeek-R1-8b-Sify/55a6c2c7-d29e-43a2-abd6-435117967a5d.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Sourjayon_DeepSeek-R1-8b-Sify/1762652579.89035",
-  "retrieved_timestamp": "1762652579.890351",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Sourjayon/DeepSeek-R1-8b-Sify",
-    "developer": "Sourjayon",
-    "inference_platform": "unknown",
-    "id": "Sourjayon/DeepSeek-R1-8b-Sify",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3679481553389451
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.33793580116642347
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.24471299093655588
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2525167785234899
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3303125
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.19805518617021275
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Sourjayon/DeepSeek-R1-8b-Sify/9c0d6b71-8c6a-4294-961c-972a002b847f.json b/data/hfopenllm_v2/Sourjayon/DeepSeek-R1-8b-Sify/9c0d6b71-8c6a-4294-961c-972a002b847f.json
new file mode 100644
index 000000000..509be1166
--- /dev/null
+++ b/data/hfopenllm_v2/Sourjayon/DeepSeek-R1-8b-Sify/9c0d6b71-8c6a-4294-961c-972a002b847f.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Sourjayon_DeepSeek-R1-8b-Sify/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "DeepSeek-R1-8b-Sify",
+    "id": "Sourjayon/DeepSeek-R1-8b-Sify",
+    "developer": "Sourjayon",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3679
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3379
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2447
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2525
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3303
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1981
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Sourjayon/DeepSeek-R1-ForumNXT/101d8dec-2e39-47d1-b76d-d91d6562feff.json b/data/hfopenllm_v2/Sourjayon/DeepSeek-R1-ForumNXT/101d8dec-2e39-47d1-b76d-d91d6562feff.json
deleted file mode 100644
index 8b6c80a17..000000000
--- a/data/hfopenllm_v2/Sourjayon/DeepSeek-R1-ForumNXT/101d8dec-2e39-47d1-b76d-d91d6562feff.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Sourjayon_DeepSeek-R1-ForumNXT/1762652579.890614",
-  "retrieved_timestamp": "1762652579.890615",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Sourjayon/DeepSeek-R1-ForumNXT",
-    "developer": "Sourjayon",
-    "inference_platform": "unknown",
-    "id": "Sourjayon/DeepSeek-R1-ForumNXT",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 1.777
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.26028714920854445
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3310198487331462
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.25755287009063443
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.27432885906040266
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3392395833333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.16481050531914893
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Sourjayon/DeepSeek-R1-ForumNXT/d1e906d5-8f0d-49c2-88c3-cf71774de600.json b/data/hfopenllm_v2/Sourjayon/DeepSeek-R1-ForumNXT/d1e906d5-8f0d-49c2-88c3-cf71774de600.json
new file mode 100644
index 000000000..e4a1e60b8
--- /dev/null
+++ b/data/hfopenllm_v2/Sourjayon/DeepSeek-R1-ForumNXT/d1e906d5-8f0d-49c2-88c3-cf71774de600.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Sourjayon_DeepSeek-R1-ForumNXT/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "DeepSeek-R1-ForumNXT",
+    "id": "Sourjayon/DeepSeek-R1-ForumNXT",
+    "developer": "Sourjayon",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 1.777
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2603
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.331
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2576
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2743
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3392
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1648
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/SpaceYL/ECE_Poirot/32feb55a-fde5-4bbd-b93e-abffc1a7e573.json b/data/hfopenllm_v2/SpaceYL/ECE_Poirot/32feb55a-fde5-4bbd-b93e-abffc1a7e573.json
deleted file mode 100644
index 70b5cd11a..000000000
--- a/data/hfopenllm_v2/SpaceYL/ECE_Poirot/32feb55a-fde5-4bbd-b93e-abffc1a7e573.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/SpaceYL_ECE_Poirot/1762652579.890822",
-  "retrieved_timestamp": "1762652579.890822",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "SpaceYL/ECE_Poirot",
-    "developer": "SpaceYL",
-    "inference_platform": "unknown",
-    "id": "SpaceYL/ECE_Poirot",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 1.544
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3106956209524063
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42622349736626014
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.09138972809667674
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2978187919463087
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.40264583333333337
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2883144946808511
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/SpaceYL/ECE_Poirot/798e4f83-6262-4d5b-a854-6ff114167209.json b/data/hfopenllm_v2/SpaceYL/ECE_Poirot/798e4f83-6262-4d5b-a854-6ff114167209.json
new file mode 100644
index 000000000..fa2400717
--- /dev/null
+++ b/data/hfopenllm_v2/SpaceYL/ECE_Poirot/798e4f83-6262-4d5b-a854-6ff114167209.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/SpaceYL_ECE_Poirot/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "ECE_Poirot",
+    "id": "SpaceYL/ECE_Poirot",
+    "developer": "SpaceYL",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 1.544
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3107
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4262
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0914
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2978
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4026
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2883
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Spestly/Athena-1-3B/29d6834e-38f7-472f-86be-79a8fce03989.json b/data/hfopenllm_v2/Spestly/Athena-1-3B/29d6834e-38f7-472f-86be-79a8fce03989.json
deleted file mode 100644
index 1d42cb093..000000000
--- a/data/hfopenllm_v2/Spestly/Athena-1-3B/29d6834e-38f7-472f-86be-79a8fce03989.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Spestly_Athena-1-3B/1762652579.8910668",
-  "retrieved_timestamp": "1762652579.891068",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Spestly/Athena-1-3B",
-    "developer": "Spestly",
-    "inference_platform": "unknown",
-    "id": "Spestly/Athena-1-3B",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 3.086
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5569167586448401
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.47015477265388084
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.23791540785498488
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2936241610738255
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.43622916666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.35189494680851063
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Spestly/Athena-1-3B/dd2603d5-e99e-4778-95d0-159c788626cf.json b/data/hfopenllm_v2/Spestly/Athena-1-3B/dd2603d5-e99e-4778-95d0-159c788626cf.json
new file mode 100644
index 000000000..da9add401
--- /dev/null
+++ b/data/hfopenllm_v2/Spestly/Athena-1-3B/dd2603d5-e99e-4778-95d0-159c788626cf.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Spestly_Athena-1-3B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Athena-1-3B",
+    "id": "Spestly/Athena-1-3B",
+    "developer": "Spestly",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 3.086
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5569
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4702
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2379
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2936
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4362
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3519
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Spestly/Atlas-Pro-1.5B-Preview/41c71990-e79d-447f-b082-63c96fd67a1f.json b/data/hfopenllm_v2/Spestly/Atlas-Pro-1.5B-Preview/41c71990-e79d-447f-b082-63c96fd67a1f.json
new file mode 100644
index 000000000..81aa9d6c5
--- /dev/null
+++ b/data/hfopenllm_v2/Spestly/Atlas-Pro-1.5B-Preview/41c71990-e79d-447f-b082-63c96fd67a1f.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Spestly_Atlas-Pro-1.5B-Preview/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Atlas-Pro-1.5B-Preview",
+    "id": "Spestly/Atlas-Pro-1.5B-Preview",
+    "developer": "Spestly",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 1.777
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.243
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3499
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3195
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.297
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3354
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1925
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Spestly/Atlas-Pro-1.5B-Preview/8282705f-6b69-40c2-825d-8e0c72756083.json b/data/hfopenllm_v2/Spestly/Atlas-Pro-1.5B-Preview/8282705f-6b69-40c2-825d-8e0c72756083.json
deleted file mode 100644
index cb0becfda..000000000
--- a/data/hfopenllm_v2/Spestly/Atlas-Pro-1.5B-Preview/8282705f-6b69-40c2-825d-8e0c72756083.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Spestly_Atlas-Pro-1.5B-Preview/1762652579.891309",
-  "retrieved_timestamp": "1762652579.89131",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Spestly/Atlas-Pro-1.5B-Preview",
-    "developer": "Spestly",
-    "inference_platform": "unknown",
-    "id": "Spestly/Atlas-Pro-1.5B-Preview",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 1.777
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2429509257658568
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.349893585329524
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.31948640483383683
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.29697986577181207
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3354270833333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1924867021276596
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Spestly/Atlas-Pro-7B-Preview/57a36976-0868-462e-ab57-3addef7ea2f9.json b/data/hfopenllm_v2/Spestly/Atlas-Pro-7B-Preview/57a36976-0868-462e-ab57-3addef7ea2f9.json
deleted file mode 100644
index 0b054a0ed..000000000
--- a/data/hfopenllm_v2/Spestly/Atlas-Pro-7B-Preview/57a36976-0868-462e-ab57-3addef7ea2f9.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Spestly_Atlas-Pro-7B-Preview/1762652579.891519",
-  "retrieved_timestamp": "1762652579.89152",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Spestly/Atlas-Pro-7B-Preview",
-    "developer": "Spestly",
-    "inference_platform": "unknown",
-    "id": "Spestly/Atlas-Pro-7B-Preview",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.616
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.31541642840995227
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.46679203304308553
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5083081570996979
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.337248322147651
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3910833333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2970412234042553
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Spestly/Atlas-Pro-7B-Preview/b9e25948-2871-4b6c-933b-8a731e48e81b.json b/data/hfopenllm_v2/Spestly/Atlas-Pro-7B-Preview/b9e25948-2871-4b6c-933b-8a731e48e81b.json
new file mode 100644
index 000000000..5b58d6fbc
--- /dev/null
+++ b/data/hfopenllm_v2/Spestly/Atlas-Pro-7B-Preview/b9e25948-2871-4b6c-933b-8a731e48e81b.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Spestly_Atlas-Pro-7B-Preview/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Atlas-Pro-7B-Preview",
+    "id": "Spestly/Atlas-Pro-7B-Preview",
+    "developer": "Spestly",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3154
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4668
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5083
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3372
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3911
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.297
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Stark2008/GutenLaserPi/7c70df74-2bc2-40e0-b0f4-77be1a7e044c.json b/data/hfopenllm_v2/Stark2008/GutenLaserPi/7c70df74-2bc2-40e0-b0f4-77be1a7e044c.json
new file mode 100644
index 000000000..1770ffa03
--- /dev/null
+++ b/data/hfopenllm_v2/Stark2008/GutenLaserPi/7c70df74-2bc2-40e0-b0f4-77be1a7e044c.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Stark2008_GutenLaserPi/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "GutenLaserPi",
+    "id": "Stark2008/GutenLaserPi",
+    "developer": "Stark2008",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4227
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5212
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0785
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2869
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.462
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3106
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Stark2008/GutenLaserPi/e418f7d1-8fd6-44ea-bc33-62fb525589f1.json b/data/hfopenllm_v2/Stark2008/GutenLaserPi/e418f7d1-8fd6-44ea-bc33-62fb525589f1.json
deleted file mode 100644
index 3f5cf048f..000000000
--- a/data/hfopenllm_v2/Stark2008/GutenLaserPi/e418f7d1-8fd6-44ea-bc33-62fb525589f1.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Stark2008_GutenLaserPi/1762652579.891723",
-  "retrieved_timestamp": "1762652579.891723",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Stark2008/GutenLaserPi",
-    "developer": "Stark2008",
-    "inference_platform": "unknown",
-    "id": "Stark2008/GutenLaserPi",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42265300513747966
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5212342482489518
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.07854984894259819
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.28691275167785235
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4620208333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.31058843085106386
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Stark2008/LayleleFlamPi/c12a519e-9d34-4671-8e98-c69178e08ec0.json b/data/hfopenllm_v2/Stark2008/LayleleFlamPi/c12a519e-9d34-4671-8e98-c69178e08ec0.json
deleted file mode 100644
index 383b93021..000000000
--- a/data/hfopenllm_v2/Stark2008/LayleleFlamPi/c12a519e-9d34-4671-8e98-c69178e08ec0.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Stark2008_LayleleFlamPi/1762652579.8919628",
-  "retrieved_timestamp": "1762652579.891964",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Stark2008/LayleleFlamPi",
-    "developer": "Stark2008",
-    "inference_platform": "unknown",
-    "id": "Stark2008/LayleleFlamPi",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42842325030917966
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5115654142581095
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.06646525679758308
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.28523489932885904
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.46084375
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3093417553191489
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Stark2008/LayleleFlamPi/ea71bdd5-3aa1-4d26-9256-5aeb2f79fa8c.json b/data/hfopenllm_v2/Stark2008/LayleleFlamPi/ea71bdd5-3aa1-4d26-9256-5aeb2f79fa8c.json
new file mode 100644
index 000000000..9aef1f6e6
--- /dev/null
+++ b/data/hfopenllm_v2/Stark2008/LayleleFlamPi/ea71bdd5-3aa1-4d26-9256-5aeb2f79fa8c.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Stark2008_LayleleFlamPi/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "LayleleFlamPi",
+    "id": "Stark2008/LayleleFlamPi",
+    "developer": "Stark2008",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4284
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5116
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0665
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2852
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4608
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3093
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Stark2008/VisFlamCat/b0e9c0ca-cd56-42c8-96ed-477884bfd9f9.json b/data/hfopenllm_v2/Stark2008/VisFlamCat/b0e9c0ca-cd56-42c8-96ed-477884bfd9f9.json
new file mode 100644
index 000000000..afdd9f905
--- /dev/null
+++ b/data/hfopenllm_v2/Stark2008/VisFlamCat/b0e9c0ca-cd56-42c8-96ed-477884bfd9f9.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Stark2008_VisFlamCat/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "VisFlamCat",
+    "id": "Stark2008/VisFlamCat",
+    "developer": "Stark2008",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4366
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5217
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0763
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2903
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4463
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3144
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Stark2008/VisFlamCat/ed5f857e-6799-4729-a2e5-afbea4b89ecd.json b/data/hfopenllm_v2/Stark2008/VisFlamCat/ed5f857e-6799-4729-a2e5-afbea4b89ecd.json
deleted file mode 100644
index e903cd19f..000000000
--- a/data/hfopenllm_v2/Stark2008/VisFlamCat/ed5f857e-6799-4729-a2e5-afbea4b89ecd.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Stark2008_VisFlamCat/1762652579.892166",
-  "retrieved_timestamp": "1762652579.892166",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Stark2008/VisFlamCat",
-    "developer": "Stark2008",
-    "inference_platform": "unknown",
-    "id": "Stark2008/VisFlamCat",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.43659157701565177
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5216957865099948
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.07628398791540786
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2902684563758389
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.44627083333333334
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.31441156914893614
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Steelskull/L3.3-MS-Nevoria-70b/5db5f87b-9bb0-4d29-b578-72bb896f3359.json b/data/hfopenllm_v2/Steelskull/L3.3-MS-Nevoria-70b/5db5f87b-9bb0-4d29-b578-72bb896f3359.json
deleted file mode 100644
index 3378838bd..000000000
--- a/data/hfopenllm_v2/Steelskull/L3.3-MS-Nevoria-70b/5db5f87b-9bb0-4d29-b578-72bb896f3359.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Steelskull_L3.3-MS-Nevoria-70b/1762652579.8924139",
-  "retrieved_timestamp": "1762652579.892415",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Steelskull/L3.3-MS-Nevoria-70b",
-    "developer": "Steelskull",
-    "inference_platform": "unknown",
-    "id": "Steelskull/L3.3-MS-Nevoria-70b",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 70.554
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6963268571833845
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6997536580025828
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3957703927492447
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.47063758389261745
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4682291666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5535239361702128
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Steelskull/L3.3-MS-Nevoria-70b/7395fcde-49dd-47f4-a8ea-463eda40f5e3.json b/data/hfopenllm_v2/Steelskull/L3.3-MS-Nevoria-70b/7395fcde-49dd-47f4-a8ea-463eda40f5e3.json
new file mode 100644
index 000000000..26de03a08
--- /dev/null
+++ b/data/hfopenllm_v2/Steelskull/L3.3-MS-Nevoria-70b/7395fcde-49dd-47f4-a8ea-463eda40f5e3.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Steelskull_L3.3-MS-Nevoria-70b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "L3.3-MS-Nevoria-70b",
+    "id": "Steelskull/L3.3-MS-Nevoria-70b",
+    "developer": "Steelskull",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 70.554
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6963
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6998
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3958
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4706
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4682
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5535
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Steelskull/L3.3-Nevoria-R1-70b/1465ebc9-f2c3-46df-b5e1-37e7a027fde8.json b/data/hfopenllm_v2/Steelskull/L3.3-Nevoria-R1-70b/1465ebc9-f2c3-46df-b5e1-37e7a027fde8.json
deleted file mode 100644
index 9bf4d3c5a..000000000
--- a/data/hfopenllm_v2/Steelskull/L3.3-Nevoria-R1-70b/1465ebc9-f2c3-46df-b5e1-37e7a027fde8.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Steelskull_L3.3-Nevoria-R1-70b/1762652579.892649",
-  "retrieved_timestamp": "1762652579.89265",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
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-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Steelskull/L3.3-Nevoria-R1-70b",
-    "developer": "Steelskull",
-    "inference_platform": "unknown",
-    "id": "Steelskull/L3.3-Nevoria-R1-70b",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 70.554
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6023794642659255
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6971668662651651
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.46299093655589124
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.46895973154362414
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.47753125
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5462932180851063
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Steelskull/L3.3-Nevoria-R1-70b/a130087f-566f-4405-b662-1102f1664c49.json b/data/hfopenllm_v2/Steelskull/L3.3-Nevoria-R1-70b/a130087f-566f-4405-b662-1102f1664c49.json
new file mode 100644
index 000000000..ff75741dd
--- /dev/null
+++ b/data/hfopenllm_v2/Steelskull/L3.3-Nevoria-R1-70b/a130087f-566f-4405-b662-1102f1664c49.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Steelskull_L3.3-Nevoria-R1-70b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "L3.3-Nevoria-R1-70b",
+    "id": "Steelskull/L3.3-Nevoria-R1-70b",
+    "developer": "Steelskull",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 70.554
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6024
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6972
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.463
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.469
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4775
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5463
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/StelleX/Qwen2.5_Math_7B_Cot/3be58cf3-4761-4459-9f3c-eabf812a3c19.json b/data/hfopenllm_v2/StelleX/Qwen2.5_Math_7B_Cot/3be58cf3-4761-4459-9f3c-eabf812a3c19.json
new file mode 100644
index 000000000..e315d4ecc
--- /dev/null
+++ b/data/hfopenllm_v2/StelleX/Qwen2.5_Math_7B_Cot/3be58cf3-4761-4459-9f3c-eabf812a3c19.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/StelleX_Qwen2.5_Math_7B_Cot/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5_Math_7B_Cot",
+    "id": "StelleX/Qwen2.5_Math_7B_Cot",
+    "developer": "StelleX",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2143
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4313
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3263
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2945
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3924
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.281
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/StelleX/Vorisatex-7B-preview/875156be-2ff9-4ec4-8085-27f22fb19259.json b/data/hfopenllm_v2/StelleX/Vorisatex-7B-preview/875156be-2ff9-4ec4-8085-27f22fb19259.json
deleted file mode 100644
index d72b9d3ad..000000000
--- a/data/hfopenllm_v2/StelleX/Vorisatex-7B-preview/875156be-2ff9-4ec4-8085-27f22fb19259.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/StelleX_Vorisatex-7B-preview/1762652579.893095",
-  "retrieved_timestamp": "1762652579.893096",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "StelleX/Vorisatex-7B-preview",
-    "developer": "StelleX",
-    "inference_platform": "unknown",
-    "id": "StelleX/Vorisatex-7B-preview",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.613
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1515013497519914
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3111695757290421
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.028700906344410877
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2516778523489933
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41923958333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11660571808510638
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/StelleX/Vorisatex-7B-preview/dbdd71ad-db5b-4b4b-8856-68b55adbe127.json b/data/hfopenllm_v2/StelleX/Vorisatex-7B-preview/dbdd71ad-db5b-4b4b-8856-68b55adbe127.json
new file mode 100644
index 000000000..7a0e33163
--- /dev/null
+++ b/data/hfopenllm_v2/StelleX/Vorisatex-7B-preview/dbdd71ad-db5b-4b4b-8856-68b55adbe127.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/StelleX_Vorisatex-7B-preview/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Vorisatex-7B-preview",
+    "id": "StelleX/Vorisatex-7B-preview",
+    "developer": "StelleX",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.613
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1515
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3112
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0287
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2517
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4192
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1166
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/SultanR/SmolTulu-1.7b-Instruct/1b0bd686-fd26-441f-b280-97b10bb1449c.json b/data/hfopenllm_v2/SultanR/SmolTulu-1.7b-Instruct/1b0bd686-fd26-441f-b280-97b10bb1449c.json
deleted file mode 100644
index 8ada648dc..000000000
--- a/data/hfopenllm_v2/SultanR/SmolTulu-1.7b-Instruct/1b0bd686-fd26-441f-b280-97b10bb1449c.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/SultanR_SmolTulu-1.7b-Instruct/1762652579.893334",
-  "retrieved_timestamp": "1762652579.893334",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "SultanR/SmolTulu-1.7b-Instruct",
-    "developer": "SultanR",
-    "inference_platform": "unknown",
-    "id": "SultanR/SmolTulu-1.7b-Instruct",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 1.711
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6540867121459949
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3713086260572204
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.07930513595166164
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.26929530201342283
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.35403125
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.17104388297872342
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/SultanR/SmolTulu-1.7b-Instruct/da159a16-48a0-45e3-ad4d-bdc9e8b5288c.json b/data/hfopenllm_v2/SultanR/SmolTulu-1.7b-Instruct/da159a16-48a0-45e3-ad4d-bdc9e8b5288c.json
new file mode 100644
index 000000000..0304b53c6
--- /dev/null
+++ b/data/hfopenllm_v2/SultanR/SmolTulu-1.7b-Instruct/da159a16-48a0-45e3-ad4d-bdc9e8b5288c.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/SultanR_SmolTulu-1.7b-Instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "SmolTulu-1.7b-Instruct",
+    "id": "SultanR/SmolTulu-1.7b-Instruct",
+    "developer": "SultanR",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 1.711
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6541
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3713
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0793
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2693
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.354
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.171
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/SultanR/SmolTulu-1.7b-Reinforced/224b4cbc-e36c-4f68-9918-edbdaf947191.json b/data/hfopenllm_v2/SultanR/SmolTulu-1.7b-Reinforced/224b4cbc-e36c-4f68-9918-edbdaf947191.json
deleted file mode 100644
index 16ee5556e..000000000
--- a/data/hfopenllm_v2/SultanR/SmolTulu-1.7b-Reinforced/224b4cbc-e36c-4f68-9918-edbdaf947191.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/SultanR_SmolTulu-1.7b-Reinforced/1762652579.893585",
-  "retrieved_timestamp": "1762652579.893586",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "SultanR/SmolTulu-1.7b-Reinforced",
-    "developer": "SultanR",
-    "inference_platform": "unknown",
-    "id": "SultanR/SmolTulu-1.7b-Reinforced",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 1.711
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6790659893526954
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3551868188444029
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.07175226586102719
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.276006711409396
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.34060416666666665
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.17627992021276595
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/SultanR/SmolTulu-1.7b-Reinforced/77d5f51e-5ad2-42a6-a32c-060cd844b949.json b/data/hfopenllm_v2/SultanR/SmolTulu-1.7b-Reinforced/77d5f51e-5ad2-42a6-a32c-060cd844b949.json
new file mode 100644
index 000000000..37b00c3a4
--- /dev/null
+++ b/data/hfopenllm_v2/SultanR/SmolTulu-1.7b-Reinforced/77d5f51e-5ad2-42a6-a32c-060cd844b949.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/SultanR_SmolTulu-1.7b-Reinforced/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "SmolTulu-1.7b-Reinforced",
+    "id": "SultanR/SmolTulu-1.7b-Reinforced",
+    "developer": "SultanR",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 1.711
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6791
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3552
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0718
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.276
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3406
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1763
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/SultanR/SmolTulu-1.7b-it-v0/22ea218a-e3be-4e05-9a94-af716bb3a624.json b/data/hfopenllm_v2/SultanR/SmolTulu-1.7b-it-v0/22ea218a-e3be-4e05-9a94-af716bb3a624.json
deleted file mode 100644
index 097e48f86..000000000
--- a/data/hfopenllm_v2/SultanR/SmolTulu-1.7b-it-v0/22ea218a-e3be-4e05-9a94-af716bb3a624.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/SultanR_SmolTulu-1.7b-it-v0/1762652579.8938031",
-  "retrieved_timestamp": "1762652579.8938031",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "SultanR/SmolTulu-1.7b-it-v0",
-    "developer": "SultanR",
-    "inference_platform": "unknown",
-    "id": "SultanR/SmolTulu-1.7b-it-v0",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 1.711
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6540867121459949
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3713086260572204
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.07930513595166164
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.26929530201342283
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.35403125
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.17104388297872342
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/SultanR/SmolTulu-1.7b-it-v0/724cc582-cc83-474b-9606-70dbc22f3581.json b/data/hfopenllm_v2/SultanR/SmolTulu-1.7b-it-v0/724cc582-cc83-474b-9606-70dbc22f3581.json
new file mode 100644
index 000000000..4d26688c4
--- /dev/null
+++ b/data/hfopenllm_v2/SultanR/SmolTulu-1.7b-it-v0/724cc582-cc83-474b-9606-70dbc22f3581.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/SultanR_SmolTulu-1.7b-it-v0/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "SmolTulu-1.7b-it-v0",
+    "id": "SultanR/SmolTulu-1.7b-it-v0",
+    "developer": "SultanR",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 1.711
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6541
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3713
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0793
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2693
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.354
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.171
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Supichi/BBA-123/8a1b2aae-d717-4b49-8ed2-a7ee2cee1940.json b/data/hfopenllm_v2/Supichi/BBA-123/8a1b2aae-d717-4b49-8ed2-a7ee2cee1940.json
new file mode 100644
index 000000000..c72fad264
--- /dev/null
+++ b/data/hfopenllm_v2/Supichi/BBA-123/8a1b2aae-d717-4b49-8ed2-a7ee2cee1940.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Supichi_BBA-123/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "BBA-123",
+    "id": "Supichi/BBA-123",
+    "developer": "Supichi",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 17.161
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.208
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.292
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2601
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3499
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1167
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Supichi/BBA-123/a469604f-f755-46e0-8b1c-db4a365dec34.json b/data/hfopenllm_v2/Supichi/BBA-123/a469604f-f755-46e0-8b1c-db4a365dec34.json
deleted file mode 100644
index 87184916b..000000000
--- a/data/hfopenllm_v2/Supichi/BBA-123/a469604f-f755-46e0-8b1c-db4a365dec34.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Supichi_BBA-123/1762652579.894015",
-  "retrieved_timestamp": "1762652579.894016",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Supichi/BBA-123",
-    "developer": "Supichi",
-    "inference_platform": "unknown",
-    "id": "Supichi/BBA-123",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 17.161
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2079548930171944
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2920111436321769
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.0
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2600671140939597
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.34990625000000003
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11668882978723404
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Supichi/BBA99/0dfb062d-a6ec-42a6-a9f9-6f6424bbdf0c.json b/data/hfopenllm_v2/Supichi/BBA99/0dfb062d-a6ec-42a6-a9f9-6f6424bbdf0c.json
new file mode 100644
index 000000000..7dab217a1
--- /dev/null
+++ b/data/hfopenllm_v2/Supichi/BBA99/0dfb062d-a6ec-42a6-a9f9-6f6424bbdf0c.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Supichi_BBA99/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "BBA99",
+    "id": "Supichi/BBA99",
+    "developer": "Supichi",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 17.161
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1407
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2769
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2634
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3218
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1112
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Supichi/BBA99/fa793cb5-5522-4777-8d6f-e4719a51f767.json b/data/hfopenllm_v2/Supichi/BBA99/fa793cb5-5522-4777-8d6f-e4719a51f767.json
deleted file mode 100644
index 39e60384b..000000000
--- a/data/hfopenllm_v2/Supichi/BBA99/fa793cb5-5522-4777-8d6f-e4719a51f767.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Supichi_BBA99/1762652579.8942661",
-  "retrieved_timestamp": "1762652579.8942661",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Supichi/BBA99",
-    "developer": "Supichi",
-    "inference_platform": "unknown",
-    "id": "Supichi/BBA99",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 17.161
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.14066011516110588
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2768958340020912
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.0
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2634228187919463
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.32184375
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11120345744680851
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Supichi/BBAIK29/ab2512fa-2335-4817-9a76-3259690bbc67.json b/data/hfopenllm_v2/Supichi/BBAIK29/ab2512fa-2335-4817-9a76-3259690bbc67.json
new file mode 100644
index 000000000..90e50a5c5
--- /dev/null
+++ b/data/hfopenllm_v2/Supichi/BBAIK29/ab2512fa-2335-4817-9a76-3259690bbc67.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Supichi_BBAIK29/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "BBAIK29",
+    "id": "Supichi/BBAIK29",
+    "developer": "Supichi",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4588
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.559
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3678
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3121
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4501
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4469
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Supichi/BBAIK29/de5f2ab9-f1d2-49bc-9771-41b9da1bdfa3.json b/data/hfopenllm_v2/Supichi/BBAIK29/de5f2ab9-f1d2-49bc-9771-41b9da1bdfa3.json
deleted file mode 100644
index ade0c084f..000000000
--- a/data/hfopenllm_v2/Supichi/BBAIK29/de5f2ab9-f1d2-49bc-9771-41b9da1bdfa3.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Supichi_BBAIK29/1762652579.89447",
-  "retrieved_timestamp": "1762652579.894471",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Supichi/BBAIK29",
-    "developer": "Supichi",
-    "inference_platform": "unknown",
-    "id": "Supichi/BBAIK29",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.616
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.45884807865352817
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5589641249478369
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3678247734138973
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.31208053691275167
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.45008333333333334
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4468916223404255
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Supichi/BBAI_135_Gemma/fe7f1442-b7db-42d5-bc83-b8afd1d0c802.json b/data/hfopenllm_v2/Supichi/BBAI_135_Gemma/fe7f1442-b7db-42d5-bc83-b8afd1d0c802.json
new file mode 100644
index 000000000..f1fa97e95
--- /dev/null
+++ b/data/hfopenllm_v2/Supichi/BBAI_135_Gemma/fe7f1442-b7db-42d5-bc83-b8afd1d0c802.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Supichi_BBAI_135_Gemma/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "BBAI_135_Gemma",
+    "id": "Supichi/BBAI_135_Gemma",
+    "developer": "Supichi",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Gemma2ForCausalLM",
+      "params_billions": 19.3
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0656
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3568
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2676
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3805
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1672
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Supichi/BBAI_250_Xia0_gZ/068a06f4-3fdc-495f-b7e4-0effebe24e42.json b/data/hfopenllm_v2/Supichi/BBAI_250_Xia0_gZ/068a06f4-3fdc-495f-b7e4-0effebe24e42.json
deleted file mode 100644
index d9ae64774..000000000
--- a/data/hfopenllm_v2/Supichi/BBAI_250_Xia0_gZ/068a06f4-3fdc-495f-b7e4-0effebe24e42.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Supichi_BBAI_250_Xia0_gZ/1762652579.894933",
-  "retrieved_timestamp": "1762652579.894933",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Supichi/BBAI_250_Xia0_gZ",
-    "developer": "Supichi",
-    "inference_platform": "unknown",
-    "id": "Supichi/BBAI_250_Xia0_gZ",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.616
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4685401401614383
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5567682997527722
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3640483383685801
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3213087248322148
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4579270833333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4464760638297872
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Supichi/BBAI_250_Xia0_gZ/0e14484a-69d7-423e-bf6c-33d0992f408c.json b/data/hfopenllm_v2/Supichi/BBAI_250_Xia0_gZ/0e14484a-69d7-423e-bf6c-33d0992f408c.json
new file mode 100644
index 000000000..dbf736418
--- /dev/null
+++ b/data/hfopenllm_v2/Supichi/BBAI_250_Xia0_gZ/0e14484a-69d7-423e-bf6c-33d0992f408c.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Supichi_BBAI_250_Xia0_gZ/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "BBAI_250_Xia0_gZ",
+    "id": "Supichi/BBAI_250_Xia0_gZ",
+    "developer": "Supichi",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4685
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5568
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.364
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3213
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4579
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4465
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Supichi/BBAI_275_Tsunami_gZ/173028b9-03e3-44d7-a7e9-2c0c5c6f4b4e.json b/data/hfopenllm_v2/Supichi/BBAI_275_Tsunami_gZ/173028b9-03e3-44d7-a7e9-2c0c5c6f4b4e.json
deleted file mode 100644
index 1d2b35d05..000000000
--- a/data/hfopenllm_v2/Supichi/BBAI_275_Tsunami_gZ/173028b9-03e3-44d7-a7e9-2c0c5c6f4b4e.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Supichi_BBAI_275_Tsunami_gZ/1762652579.895135",
-  "retrieved_timestamp": "1762652579.895135",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Supichi/BBAI_275_Tsunami_gZ",
-    "developer": "Supichi",
-    "inference_platform": "unknown",
-    "id": "Supichi/BBAI_275_Tsunami_gZ",
-    "additional_details": {
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-        "score_type": "continuous",
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-      "evaluation_name": "MATH Level 5",
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-        "lower_is_better": false,
-        "score_type": "continuous",
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-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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diff --git a/data/hfopenllm_v2/Supichi/BBAI_275_Tsunami_gZ/881eaa2c-af5f-4e84-8807-d0835c10ebd2.json b/data/hfopenllm_v2/Supichi/BBAI_275_Tsunami_gZ/881eaa2c-af5f-4e84-8807-d0835c10ebd2.json
new file mode 100644
index 000000000..c2465ba88
--- /dev/null
+++ b/data/hfopenllm_v2/Supichi/BBAI_275_Tsunami_gZ/881eaa2c-af5f-4e84-8807-d0835c10ebd2.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Supichi_BBAI_275_Tsunami_gZ/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "BBAI_275_Tsunami_gZ",
+    "id": "Supichi/BBAI_275_Tsunami_gZ",
+    "developer": "Supichi",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.537
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5531
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3213
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4448
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4492
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Supichi/BBAI_525_Tsu_gZ_Xia0/6b6b273e-9cf0-405e-b1e4-5fdbd2ae16d9.json b/data/hfopenllm_v2/Supichi/BBAI_525_Tsu_gZ_Xia0/6b6b273e-9cf0-405e-b1e4-5fdbd2ae16d9.json
deleted file mode 100644
index b73f71657..000000000
--- a/data/hfopenllm_v2/Supichi/BBAI_525_Tsu_gZ_Xia0/6b6b273e-9cf0-405e-b1e4-5fdbd2ae16d9.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Supichi_BBAI_525_Tsu_gZ_Xia0/1762652579.8953412",
-  "retrieved_timestamp": "1762652579.8953412",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Supichi/BBAI_525_Tsu_gZ_Xia0",
-    "developer": "Supichi",
-    "inference_platform": "unknown",
-    "id": "Supichi/BBAI_525_Tsu_gZ_Xia0",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.616
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5338612658856279
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-    },
-    {
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-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-    },
-    {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.31208053691275167
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.44744791666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.44772273936170215
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Supichi/BBAI_525_Tsu_gZ_Xia0/ef8a7079-9d13-42b7-ab2d-b72df5ae5d95.json b/data/hfopenllm_v2/Supichi/BBAI_525_Tsu_gZ_Xia0/ef8a7079-9d13-42b7-ab2d-b72df5ae5d95.json
new file mode 100644
index 000000000..8e1fdf952
--- /dev/null
+++ b/data/hfopenllm_v2/Supichi/BBAI_525_Tsu_gZ_Xia0/ef8a7079-9d13-42b7-ab2d-b72df5ae5d95.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Supichi_BBAI_525_Tsu_gZ_Xia0/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "BBAI_525_Tsu_gZ_Xia0",
+    "id": "Supichi/BBAI_525_Tsu_gZ_Xia0",
+    "developer": "Supichi",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5339
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5562
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3429
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3121
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4474
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4477
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Supichi/BBAI_78B_Calme_3_1_Ties/a9c4a482-6b02-4cf6-a7d5-3e16334df634.json b/data/hfopenllm_v2/Supichi/BBAI_78B_Calme_3_1_Ties/a9c4a482-6b02-4cf6-a7d5-3e16334df634.json
deleted file mode 100644
index 074cc4097..000000000
--- a/data/hfopenllm_v2/Supichi/BBAI_78B_Calme_3_1_Ties/a9c4a482-6b02-4cf6-a7d5-3e16334df634.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/Supichi_BBAI_78B_Calme_3_1_Ties/1762652579.895541",
-  "retrieved_timestamp": "1762652579.895541",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Supichi/BBAI_78B_Calme_3_1_Ties",
-    "developer": "Supichi",
-    "inference_platform": "unknown",
-    "id": "Supichi/BBAI_78B_Calme_3_1_Ties",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 27.06
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.18280052482967415
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-    },
-    {
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-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.28281264175951776
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.0
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.22902684563758388
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30996874999999996
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11436170212765957
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Supichi/BBAI_78B_Calme_3_1_Ties/db8d3fc4-58f4-4f07-8c27-c73a4a4719fb.json b/data/hfopenllm_v2/Supichi/BBAI_78B_Calme_3_1_Ties/db8d3fc4-58f4-4f07-8c27-c73a4a4719fb.json
new file mode 100644
index 000000000..7bb33875a
--- /dev/null
+++ b/data/hfopenllm_v2/Supichi/BBAI_78B_Calme_3_1_Ties/db8d3fc4-58f4-4f07-8c27-c73a4a4719fb.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Supichi_BBAI_78B_Calme_3_1_Ties/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "BBAI_78B_Calme_3_1_Ties",
+    "id": "Supichi/BBAI_78B_Calme_3_1_Ties",
+    "developer": "Supichi",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 27.06
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1828
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2828
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.229
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.31
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1144
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Supichi/BBAI_QWEEN_V000000_LUMEN_14B/0c44a429-e705-4794-b702-1a731e52df90.json b/data/hfopenllm_v2/Supichi/BBAI_QWEEN_V000000_LUMEN_14B/0c44a429-e705-4794-b702-1a731e52df90.json
new file mode 100644
index 000000000..4b3c57482
--- /dev/null
+++ b/data/hfopenllm_v2/Supichi/BBAI_QWEEN_V000000_LUMEN_14B/0c44a429-e705-4794-b702-1a731e52df90.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Supichi_BBAI_QWEEN_V000000_LUMEN_14B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "BBAI_QWEEN_V000000_LUMEN_14B",
+    "id": "Supichi/BBAI_QWEEN_V000000_LUMEN_14B",
+    "developer": "Supichi",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 10.366
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1815
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2297
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2315
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3445
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.116
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Supichi/BBAI_QWEEN_V000000_LUMEN_14B/57fd3fdc-dfdd-44ee-8c30-dc5ce4a0df8d.json b/data/hfopenllm_v2/Supichi/BBAI_QWEEN_V000000_LUMEN_14B/57fd3fdc-dfdd-44ee-8c30-dc5ce4a0df8d.json
deleted file mode 100644
index 59e553c08..000000000
--- a/data/hfopenllm_v2/Supichi/BBAI_QWEEN_V000000_LUMEN_14B/57fd3fdc-dfdd-44ee-8c30-dc5ce4a0df8d.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Supichi_BBAI_QWEEN_V000000_LUMEN_14B/1762652579.895749",
-  "retrieved_timestamp": "1762652579.8957498",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Supichi/BBAI_QWEEN_V000000_LUMEN_14B",
-    "developer": "Supichi",
-    "inference_platform": "unknown",
-    "id": "Supichi/BBAI_QWEEN_V000000_LUMEN_14B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 10.366
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.18145188100905596
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.22972580681005383
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.0
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.23154362416107382
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3445416666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11602393617021277
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Supichi/HF_TOKEN/92b3d2c1-61f4-432a-82a7-43b4367f7ef0.json b/data/hfopenllm_v2/Supichi/HF_TOKEN/92b3d2c1-61f4-432a-82a7-43b4367f7ef0.json
new file mode 100644
index 000000000..3690ec90c
--- /dev/null
+++ b/data/hfopenllm_v2/Supichi/HF_TOKEN/92b3d2c1-61f4-432a-82a7-43b4367f7ef0.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Supichi_HF_TOKEN/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "HF_TOKEN",
+    "id": "Supichi/HF_TOKEN",
+    "developer": "Supichi",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 17.161
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.138
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2764
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0008
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2634
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3272
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.111
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Supichi/HF_TOKEN/cd0ccaff-e1b3-4c11-a8a0-37137d0386e2.json b/data/hfopenllm_v2/Supichi/HF_TOKEN/cd0ccaff-e1b3-4c11-a8a0-37137d0386e2.json
deleted file mode 100644
index a4adc21a6..000000000
--- a/data/hfopenllm_v2/Supichi/HF_TOKEN/cd0ccaff-e1b3-4c11-a8a0-37137d0386e2.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Supichi_HF_TOKEN/1762652579.895958",
-  "retrieved_timestamp": "1762652579.895958",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Supichi/HF_TOKEN",
-    "developer": "Supichi",
-    "inference_platform": "unknown",
-    "id": "Supichi/HF_TOKEN",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 17.161
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1379872072766925
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2763924734767205
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.0007552870090634441
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2634228187919463
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.32717708333333334
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11095412234042554
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Supichi/NJS26/5703e81d-055c-459b-8202-80ec382a8d5b.json b/data/hfopenllm_v2/Supichi/NJS26/5703e81d-055c-459b-8202-80ec382a8d5b.json
new file mode 100644
index 000000000..fb56689db
--- /dev/null
+++ b/data/hfopenllm_v2/Supichi/NJS26/5703e81d-055c-459b-8202-80ec382a8d5b.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Supichi_NJS26/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "NJS26",
+    "id": "Supichi/NJS26",
+    "developer": "Supichi",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0448
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.478
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0325
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.318
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3854
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3037
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Supichi/NJS26/f336c7ee-2275-4045-a227-1a7abbaebf63.json b/data/hfopenllm_v2/Supichi/NJS26/f336c7ee-2275-4045-a227-1a7abbaebf63.json
deleted file mode 100644
index ceeac801d..000000000
--- a/data/hfopenllm_v2/Supichi/NJS26/f336c7ee-2275-4045-a227-1a7abbaebf63.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Supichi_NJS26/1762652579.8961651",
-  "retrieved_timestamp": "1762652579.8961651",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Supichi/NJS26",
-    "developer": "Supichi",
-    "inference_platform": "unknown",
-    "id": "Supichi/NJS26",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.04481331755298164
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4780152929488641
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.0324773413897281
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3179530201342282
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.38540625
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3036901595744681
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Svak/MN-12B-Inferor-v0.0/5bb52ed5-e59a-4e60-a6eb-9e9322d95ccc.json b/data/hfopenllm_v2/Svak/MN-12B-Inferor-v0.0/5bb52ed5-e59a-4e60-a6eb-9e9322d95ccc.json
deleted file mode 100644
index ffcaf6986..000000000
--- a/data/hfopenllm_v2/Svak/MN-12B-Inferor-v0.0/5bb52ed5-e59a-4e60-a6eb-9e9322d95ccc.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Svak_MN-12B-Inferor-v0.0/1762652579.896373",
-  "retrieved_timestamp": "1762652579.896374",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Svak/MN-12B-Inferor-v0.0",
-    "developer": "Svak",
-    "inference_platform": "unknown",
-    "id": "Svak/MN-12B-Inferor-v0.0",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 12.248
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.10196374622356495
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
-        "score": 0.3087248322147651
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.46388541666666666
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3558843085106383
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Svak/MN-12B-Inferor-v0.0/f6260b6e-52a2-4142-93ba-5393807fa0d4.json b/data/hfopenllm_v2/Svak/MN-12B-Inferor-v0.0/f6260b6e-52a2-4142-93ba-5393807fa0d4.json
new file mode 100644
index 000000000..cf81cb961
--- /dev/null
+++ b/data/hfopenllm_v2/Svak/MN-12B-Inferor-v0.0/f6260b6e-52a2-4142-93ba-5393807fa0d4.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Svak_MN-12B-Inferor-v0.0/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "MN-12B-Inferor-v0.0",
+    "id": "Svak/MN-12B-Inferor-v0.0",
+    "developer": "Svak",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 12.248
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5708
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5195
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.102
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3087
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4639
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3559
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Svak/MN-12B-Inferor-v0.1/83b84506-4826-48de-a6fe-2af6ae5d425a.json b/data/hfopenllm_v2/Svak/MN-12B-Inferor-v0.1/83b84506-4826-48de-a6fe-2af6ae5d425a.json
new file mode 100644
index 000000000..30b42165b
--- /dev/null
+++ b/data/hfopenllm_v2/Svak/MN-12B-Inferor-v0.1/83b84506-4826-48de-a6fe-2af6ae5d425a.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Svak_MN-12B-Inferor-v0.1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "MN-12B-Inferor-v0.1",
+    "id": "Svak/MN-12B-Inferor-v0.1",
+    "developer": "Svak",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 12.248
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6347
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5147
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1261
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3255
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4351
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3662
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Svak/MN-12B-Inferor-v0.1/9bfe838e-a568-4933-b03d-3e9ae6d2026d.json b/data/hfopenllm_v2/Svak/MN-12B-Inferor-v0.1/9bfe838e-a568-4933-b03d-3e9ae6d2026d.json
deleted file mode 100644
index 0557513a2..000000000
--- a/data/hfopenllm_v2/Svak/MN-12B-Inferor-v0.1/9bfe838e-a568-4933-b03d-3e9ae6d2026d.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Svak_MN-12B-Inferor-v0.1/1762652579.8966348",
-  "retrieved_timestamp": "1762652579.896636",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Svak/MN-12B-Inferor-v0.1",
-    "developer": "Svak",
-    "inference_platform": "unknown",
-    "id": "Svak/MN-12B-Inferor-v0.1",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 12.248
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6346527214457639
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5146762089838804
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.12613293051359517
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.32550335570469796
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4350833333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3661901595744681
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Syed-Hasan-8503/Phi-3-mini-4K-instruct-cpo-simpo/58bacacb-2936-4685-b0ba-dc8f47f3232a.json b/data/hfopenllm_v2/Syed-Hasan-8503/Phi-3-mini-4K-instruct-cpo-simpo/58bacacb-2936-4685-b0ba-dc8f47f3232a.json
deleted file mode 100644
index 6a60f327b..000000000
--- a/data/hfopenllm_v2/Syed-Hasan-8503/Phi-3-mini-4K-instruct-cpo-simpo/58bacacb-2936-4685-b0ba-dc8f47f3232a.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Syed-Hasan-8503_Phi-3-mini-4K-instruct-cpo-simpo/1762652579.896852",
-  "retrieved_timestamp": "1762652579.896853",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Syed-Hasan-8503/Phi-3-mini-4K-instruct-cpo-simpo",
-    "developer": "Syed-Hasan-8503",
-    "inference_platform": "unknown",
-    "id": "Syed-Hasan-8503/Phi-3-mini-4K-instruct-cpo-simpo",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Phi3ForCausalLM",
-      "params_billions": 3.821
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5714049832222946
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5681534123661078
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.15709969788519637
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.33053691275167785
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3963541666666666
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.38605385638297873
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Syed-Hasan-8503/Phi-3-mini-4K-instruct-cpo-simpo/7483e260-9853-4d3f-aa10-187796d96de9.json b/data/hfopenllm_v2/Syed-Hasan-8503/Phi-3-mini-4K-instruct-cpo-simpo/7483e260-9853-4d3f-aa10-187796d96de9.json
new file mode 100644
index 000000000..e37c2fec5
--- /dev/null
+++ b/data/hfopenllm_v2/Syed-Hasan-8503/Phi-3-mini-4K-instruct-cpo-simpo/7483e260-9853-4d3f-aa10-187796d96de9.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Syed-Hasan-8503_Phi-3-mini-4K-instruct-cpo-simpo/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Phi-3-mini-4K-instruct-cpo-simpo",
+    "id": "Syed-Hasan-8503/Phi-3-mini-4K-instruct-cpo-simpo",
+    "developer": "Syed-Hasan-8503",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Phi3ForCausalLM",
+      "params_billions": 3.821
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5714
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5682
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1571
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3305
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3964
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3861
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/T145/KRONOS-8B-V1-P1/5bedfdac-2976-4a21-9ae2-a5b5b06e1e14.json b/data/hfopenllm_v2/T145/KRONOS-8B-V1-P1/5bedfdac-2976-4a21-9ae2-a5b5b06e1e14.json
deleted file mode 100644
index 3812b4ec7..000000000
--- a/data/hfopenllm_v2/T145/KRONOS-8B-V1-P1/5bedfdac-2976-4a21-9ae2-a5b5b06e1e14.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/T145_KRONOS-8B-V1-P1/1762652579.897121",
-  "retrieved_timestamp": "1762652579.8971221",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "T145/KRONOS-8B-V1-P1",
-    "developer": "T145",
-    "inference_platform": "unknown",
-    "id": "T145/KRONOS-8B-V1-P1",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7849783020164276
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.508544756293663
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.19788519637462235
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2953020134228188
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3881041666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3759973404255319
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/T145/KRONOS-8B-V1-P1/f9925806-4252-44e8-b67e-917737572bd4.json b/data/hfopenllm_v2/T145/KRONOS-8B-V1-P1/f9925806-4252-44e8-b67e-917737572bd4.json
new file mode 100644
index 000000000..a479386a3
--- /dev/null
+++ b/data/hfopenllm_v2/T145/KRONOS-8B-V1-P1/f9925806-4252-44e8-b67e-917737572bd4.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/T145_KRONOS-8B-V1-P1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "KRONOS-8B-V1-P1",
+    "id": "T145/KRONOS-8B-V1-P1",
+    "developer": "T145",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.785
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5085
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1979
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2953
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3881
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.376
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/T145/KRONOS-8B-V1-P2/70470e6c-8d66-4249-b762-a5a2e3589a53.json b/data/hfopenllm_v2/T145/KRONOS-8B-V1-P2/70470e6c-8d66-4249-b762-a5a2e3589a53.json
new file mode 100644
index 000000000..9dacbbf53
--- /dev/null
+++ b/data/hfopenllm_v2/T145/KRONOS-8B-V1-P2/70470e6c-8d66-4249-b762-a5a2e3589a53.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/T145_KRONOS-8B-V1-P2/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "KRONOS-8B-V1-P2",
+    "id": "T145/KRONOS-8B-V1-P2",
+    "developer": "T145",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6724
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4772
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1601
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2919
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3568
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3453
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/T145/KRONOS-8B-V1-P2/a5d0fc39-cac5-409f-8375-636ef97fba8c.json b/data/hfopenllm_v2/T145/KRONOS-8B-V1-P2/a5d0fc39-cac5-409f-8375-636ef97fba8c.json
deleted file mode 100644
index 126dc2d28..000000000
--- a/data/hfopenllm_v2/T145/KRONOS-8B-V1-P2/a5d0fc39-cac5-409f-8375-636ef97fba8c.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/T145_KRONOS-8B-V1-P2/1762652579.897378",
-  "retrieved_timestamp": "1762652579.8973792",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "T145/KRONOS-8B-V1-P2",
-    "developer": "T145",
-    "inference_platform": "unknown",
-    "id": "T145/KRONOS-8B-V1-P2",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6724213974476612
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.47717566218002166
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.16012084592145015
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.29194630872483224
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3567604166666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3453291223404255
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/T145/KRONOS-8B-V1-P3/14eb1867-80a0-47f9-9b2a-f0a05f683fb4.json b/data/hfopenllm_v2/T145/KRONOS-8B-V1-P3/14eb1867-80a0-47f9-9b2a-f0a05f683fb4.json
deleted file mode 100644
index 87befd625..000000000
--- a/data/hfopenllm_v2/T145/KRONOS-8B-V1-P3/14eb1867-80a0-47f9-9b2a-f0a05f683fb4.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/T145_KRONOS-8B-V1-P3/1762652579.897578",
-  "retrieved_timestamp": "1762652579.897579",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "T145/KRONOS-8B-V1-P3",
-    "developer": "T145",
-    "inference_platform": "unknown",
-    "id": "T145/KRONOS-8B-V1-P3",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7137373280673058
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5127875870036823
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.19259818731117825
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2600671140939597
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3615625
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.34050864361702127
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/T145/KRONOS-8B-V1-P3/d3abfe3c-ebfe-4dfd-b0db-93c14d32c585.json b/data/hfopenllm_v2/T145/KRONOS-8B-V1-P3/d3abfe3c-ebfe-4dfd-b0db-93c14d32c585.json
new file mode 100644
index 000000000..4ae2c0b29
--- /dev/null
+++ b/data/hfopenllm_v2/T145/KRONOS-8B-V1-P3/d3abfe3c-ebfe-4dfd-b0db-93c14d32c585.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/T145_KRONOS-8B-V1-P3/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "KRONOS-8B-V1-P3",
+    "id": "T145/KRONOS-8B-V1-P3",
+    "developer": "T145",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7137
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5128
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1926
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2601
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3616
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3405
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/T145/KRONOS-8B-V2/a35b06bc-d759-421a-94cf-f408a98e9273.json b/data/hfopenllm_v2/T145/KRONOS-8B-V2/a35b06bc-d759-421a-94cf-f408a98e9273.json
new file mode 100644
index 000000000..1869aec88
--- /dev/null
+++ b/data/hfopenllm_v2/T145/KRONOS-8B-V2/a35b06bc-d759-421a-94cf-f408a98e9273.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/T145_KRONOS-8B-V2/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "KRONOS-8B-V2",
+    "id": "T145/KRONOS-8B-V2",
+    "developer": "T145",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.518
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5133
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2266
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2987
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3829
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3738
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/T145/KRONOS-8B-V2/ff4c64ec-f44b-4bec-9534-bafa632a0e3f.json b/data/hfopenllm_v2/T145/KRONOS-8B-V2/ff4c64ec-f44b-4bec-9534-bafa632a0e3f.json
deleted file mode 100644
index 9e5e59e0a..000000000
--- a/data/hfopenllm_v2/T145/KRONOS-8B-V2/ff4c64ec-f44b-4bec-9534-bafa632a0e3f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/T145_KRONOS-8B-V2/1762652579.897814",
-  "retrieved_timestamp": "1762652579.897815",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "T145/KRONOS-8B-V2",
-    "developer": "T145",
-    "inference_platform": "unknown",
-    "id": "T145/KRONOS-8B-V2",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5180243974875552
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.513268555595521
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.22658610271903323
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2986577181208054
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.38286458333333334
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3737533244680851
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/T145/KRONOS-8B-V3/bbac659c-7cf8-41d4-98d4-ded4c471bd98.json b/data/hfopenllm_v2/T145/KRONOS-8B-V3/bbac659c-7cf8-41d4-98d4-ded4c471bd98.json
new file mode 100644
index 000000000..86f598a6c
--- /dev/null
+++ b/data/hfopenllm_v2/T145/KRONOS-8B-V3/bbac659c-7cf8-41d4-98d4-ded4c471bd98.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/T145_KRONOS-8B-V3/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "KRONOS-8B-V3",
+    "id": "T145/KRONOS-8B-V3",
+    "developer": "T145",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5475
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5119
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2598
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2886
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3922
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3738
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/T145/KRONOS-8B-V3/fc5613f1-09bc-4b82-89f4-4ee671cad5bf.json b/data/hfopenllm_v2/T145/KRONOS-8B-V3/fc5613f1-09bc-4b82-89f4-4ee671cad5bf.json
deleted file mode 100644
index 65280ca28..000000000
--- a/data/hfopenllm_v2/T145/KRONOS-8B-V3/fc5613f1-09bc-4b82-89f4-4ee671cad5bf.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/T145_KRONOS-8B-V3/1762652579.8980181",
-  "retrieved_timestamp": "1762652579.898019",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "T145/KRONOS-8B-V3",
-    "developer": "T145",
-    "inference_platform": "unknown",
-    "id": "T145/KRONOS-8B-V3",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5474751437297483
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.511865544689898
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2598187311178248
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.28859060402684567
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3922291666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3738364361702128
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/T145/KRONOS-8B-V4/0c73f3a0-0a92-4b1c-abfa-6eb77138dacd.json b/data/hfopenllm_v2/T145/KRONOS-8B-V4/0c73f3a0-0a92-4b1c-abfa-6eb77138dacd.json
new file mode 100644
index 000000000..b0d2848fc
--- /dev/null
+++ b/data/hfopenllm_v2/T145/KRONOS-8B-V4/0c73f3a0-0a92-4b1c-abfa-6eb77138dacd.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/T145_KRONOS-8B-V4/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "KRONOS-8B-V4",
+    "id": "T145/KRONOS-8B-V4",
+    "developer": "T145",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7889
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5092
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1949
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2894
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.383
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3786
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/T145/KRONOS-8B-V4/af8665b4-d9be-4243-9c8d-0b43e7abd540.json b/data/hfopenllm_v2/T145/KRONOS-8B-V4/af8665b4-d9be-4243-9c8d-0b43e7abd540.json
deleted file mode 100644
index b3189d380..000000000
--- a/data/hfopenllm_v2/T145/KRONOS-8B-V4/af8665b4-d9be-4243-9c8d-0b43e7abd540.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/T145_KRONOS-8B-V4/1762652579.898447",
-  "retrieved_timestamp": "1762652579.898448",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "T145/KRONOS-8B-V4",
-    "developer": "T145",
-    "inference_platform": "unknown",
-    "id": "T145/KRONOS-8B-V4",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7889499860370484
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5092470034846742
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.19486404833836857
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.28942953020134227
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.38295833333333335
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37857380319148937
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/T145/KRONOS-8B-V5/290206b5-0e46-4f92-a2bd-f2c53ef3d147.json b/data/hfopenllm_v2/T145/KRONOS-8B-V5/290206b5-0e46-4f92-a2bd-f2c53ef3d147.json
deleted file mode 100644
index 82863ca38..000000000
--- a/data/hfopenllm_v2/T145/KRONOS-8B-V5/290206b5-0e46-4f92-a2bd-f2c53ef3d147.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/T145_KRONOS-8B-V5/1762652579.8986921",
-  "retrieved_timestamp": "1762652579.898693",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "T145/KRONOS-8B-V5",
-    "developer": "T145",
-    "inference_platform": "unknown",
-    "id": "T145/KRONOS-8B-V5",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5405058577906621
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5088651598969166
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
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-        "score_type": "continuous",
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-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2688821752265861
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
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-        "score_type": "continuous",
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-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
-        "score": 0.40546875
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-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37591422872340424
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/T145/KRONOS-8B-V5/a7ab6f16-717f-4567-8057-a4a18e1a1e77.json b/data/hfopenllm_v2/T145/KRONOS-8B-V5/a7ab6f16-717f-4567-8057-a4a18e1a1e77.json
new file mode 100644
index 000000000..fb35a1d47
--- /dev/null
+++ b/data/hfopenllm_v2/T145/KRONOS-8B-V5/a7ab6f16-717f-4567-8057-a4a18e1a1e77.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/T145_KRONOS-8B-V5/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "KRONOS-8B-V5",
+    "id": "T145/KRONOS-8B-V5",
+    "developer": "T145",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5405
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5089
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2689
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+        "score": 0.2903
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4055
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3759
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/T145/KRONOS-8B-V6/2abe2c9d-032d-469e-852b-114eca5e84f8.json b/data/hfopenllm_v2/T145/KRONOS-8B-V6/2abe2c9d-032d-469e-852b-114eca5e84f8.json
new file mode 100644
index 000000000..55fd3a74f
--- /dev/null
+++ b/data/hfopenllm_v2/T145/KRONOS-8B-V6/2abe2c9d-032d-469e-852b-114eca5e84f8.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/T145_KRONOS-8B-V6/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "KRONOS-8B-V6",
+    "id": "T145/KRONOS-8B-V6",
+    "developer": "T145",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7022
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5034
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2598
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2794
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4121
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3501
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/T145/KRONOS-8B-V6/78813c35-3eaa-4ae6-9099-bf79efb8b0df.json b/data/hfopenllm_v2/T145/KRONOS-8B-V6/78813c35-3eaa-4ae6-9099-bf79efb8b0df.json
deleted file mode 100644
index 43b109060..000000000
--- a/data/hfopenllm_v2/T145/KRONOS-8B-V6/78813c35-3eaa-4ae6-9099-bf79efb8b0df.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/T145_KRONOS-8B-V6/1762652579.898935",
-  "retrieved_timestamp": "1762652579.898936",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "T145/KRONOS-8B-V6",
-    "developer": "T145",
-    "inference_platform": "unknown",
-    "id": "T145/KRONOS-8B-V6",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-      "evaluation_name": "BBH",
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
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-      "score_details": {
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-    },
-    {
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-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41210416666666666
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3501496010638298
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/T145/KRONOS-8B-V7/1358fee5-3874-4997-b1f0-6e93c6c5e9c0.json b/data/hfopenllm_v2/T145/KRONOS-8B-V7/1358fee5-3874-4997-b1f0-6e93c6c5e9c0.json
deleted file mode 100644
index 720ae39af..000000000
--- a/data/hfopenllm_v2/T145/KRONOS-8B-V7/1358fee5-3874-4997-b1f0-6e93c6c5e9c0.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/T145_KRONOS-8B-V7/1762652579.899169",
-  "retrieved_timestamp": "1762652579.8991702",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "T145/KRONOS-8B-V7",
-    "developer": "T145",
-    "inference_platform": "unknown",
-    "id": "T145/KRONOS-8B-V7",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 4.015
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
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-    },
-    {
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-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
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-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
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-        "score": 0.11102719033232629
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.26677852348993286
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.36711458333333336
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2696974734042553
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/T145/KRONOS-8B-V7/2e8a83dc-c760-4f42-a361-e02cf3a65427.json b/data/hfopenllm_v2/T145/KRONOS-8B-V7/2e8a83dc-c760-4f42-a361-e02cf3a65427.json
new file mode 100644
index 000000000..5846cc83c
--- /dev/null
+++ b/data/hfopenllm_v2/T145/KRONOS-8B-V7/2e8a83dc-c760-4f42-a361-e02cf3a65427.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/T145_KRONOS-8B-V7/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "KRONOS-8B-V7",
+    "id": "T145/KRONOS-8B-V7",
+    "developer": "T145",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 4.015
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3529
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4526
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.111
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2668
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3671
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2697
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/T145/KRONOS-8B-V8/57a4ddc6-0447-4840-94bc-5bb136025aab.json b/data/hfopenllm_v2/T145/KRONOS-8B-V8/57a4ddc6-0447-4840-94bc-5bb136025aab.json
deleted file mode 100644
index 770efc127..000000000
--- a/data/hfopenllm_v2/T145/KRONOS-8B-V8/57a4ddc6-0447-4840-94bc-5bb136025aab.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/T145_KRONOS-8B-V8/1762652579.899387",
-  "retrieved_timestamp": "1762652579.8993878",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "T145/KRONOS-8B-V8",
-    "developer": "T145",
-    "inference_platform": "unknown",
-    "id": "T145/KRONOS-8B-V8",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
-        "score": 0.7770349339751859
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-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-    {
-      "evaluation_name": "GPQA",
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-        "evaluation_description": "Accuracy on GPQA",
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-        "score_type": "continuous",
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-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.28942953020134227
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-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
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-        "score_type": "continuous",
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-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-      "score_details": {
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diff --git a/data/hfopenllm_v2/T145/KRONOS-8B-V8/743dfe64-e7cd-493e-817d-8d5fcdc2ea24.json b/data/hfopenllm_v2/T145/KRONOS-8B-V8/743dfe64-e7cd-493e-817d-8d5fcdc2ea24.json
new file mode 100644
index 000000000..d7f05654d
--- /dev/null
+++ b/data/hfopenllm_v2/T145/KRONOS-8B-V8/743dfe64-e7cd-493e-817d-8d5fcdc2ea24.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/T145_KRONOS-8B-V8/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "KRONOS-8B-V8",
+    "id": "T145/KRONOS-8B-V8",
+    "developer": "T145",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.777
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5094
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2047
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2894
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3869
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3782
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/T145/KRONOS-8B-V9/4e37c90b-65a8-4b71-bfc2-d63541fb8962.json b/data/hfopenllm_v2/T145/KRONOS-8B-V9/4e37c90b-65a8-4b71-bfc2-d63541fb8962.json
new file mode 100644
index 000000000..405395324
--- /dev/null
+++ b/data/hfopenllm_v2/T145/KRONOS-8B-V9/4e37c90b-65a8-4b71-bfc2-d63541fb8962.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/T145_KRONOS-8B-V9/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "KRONOS-8B-V9",
+    "id": "T145/KRONOS-8B-V9",
+    "developer": "T145",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7856
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5099
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1986
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2961
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3868
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3752
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/T145/KRONOS-8B-V9/6fbb6156-196d-4523-900e-35316100d3b9.json b/data/hfopenllm_v2/T145/KRONOS-8B-V9/6fbb6156-196d-4523-900e-35316100d3b9.json
deleted file mode 100644
index 05ef96ba4..000000000
--- a/data/hfopenllm_v2/T145/KRONOS-8B-V9/6fbb6156-196d-4523-900e-35316100d3b9.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/T145_KRONOS-8B-V9/1762652579.8996658",
-  "retrieved_timestamp": "1762652579.899667",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "T145/KRONOS-8B-V9",
-    "developer": "T145",
-    "inference_platform": "unknown",
-    "id": "T145/KRONOS-8B-V9",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7855778224001206
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5099211908307056
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1986404833836858
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2961409395973154
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3868020833333334
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3751662234042553
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/T145/Llama-3.1-8B-Instruct-Zeus/2e34d74e-1b69-4daf-8bee-77e5357fd439.json b/data/hfopenllm_v2/T145/Llama-3.1-8B-Instruct-Zeus/2e34d74e-1b69-4daf-8bee-77e5357fd439.json
new file mode 100644
index 000000000..41ff9323c
--- /dev/null
+++ b/data/hfopenllm_v2/T145/Llama-3.1-8B-Instruct-Zeus/2e34d74e-1b69-4daf-8bee-77e5357fd439.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/T145_Llama-3.1-8B-Instruct-Zeus/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-3.1-8B-Instruct-Zeus",
+    "id": "T145/Llama-3.1-8B-Instruct-Zeus",
+    "developer": "T145",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7941
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5174
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1956
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3012
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3976
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3893
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/T145/Llama-3.1-8B-Instruct-Zeus/38e620aa-c577-4b14-bebd-e98ebcbe48b2.json b/data/hfopenllm_v2/T145/Llama-3.1-8B-Instruct-Zeus/38e620aa-c577-4b14-bebd-e98ebcbe48b2.json
deleted file mode 100644
index 47f0070e8..000000000
--- a/data/hfopenllm_v2/T145/Llama-3.1-8B-Instruct-Zeus/38e620aa-c577-4b14-bebd-e98ebcbe48b2.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/T145_Llama-3.1-8B-Instruct-Zeus/1762652579.899903",
-  "retrieved_timestamp": "1762652579.899904",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "T145/Llama-3.1-8B-Instruct-Zeus",
-    "developer": "T145",
-    "inference_platform": "unknown",
-    "id": "T145/Llama-3.1-8B-Instruct-Zeus",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7941207108250552
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5173982439996302
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.19561933534743203
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3011744966442953
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.39762499999999995
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.38929521276595747
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/T145/Llama-3.1-8B-Zeus/0646e2f7-d2e6-42d3-8f09-f8daee302709.json b/data/hfopenllm_v2/T145/Llama-3.1-8B-Zeus/0646e2f7-d2e6-42d3-8f09-f8daee302709.json
new file mode 100644
index 000000000..0756465ea
--- /dev/null
+++ b/data/hfopenllm_v2/T145/Llama-3.1-8B-Zeus/0646e2f7-d2e6-42d3-8f09-f8daee302709.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/T145_Llama-3.1-8B-Zeus/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-3.1-8B-Zeus",
+    "id": "T145/Llama-3.1-8B-Zeus",
+    "developer": "T145",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3518
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3671
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0144
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2651
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3316
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1332
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/T145/Meta-Llama-3.1-8B-Instruct-TIES/15b92d44-3d68-4c6a-bddd-5676ebda2e10.json b/data/hfopenllm_v2/T145/Meta-Llama-3.1-8B-Instruct-TIES/15b92d44-3d68-4c6a-bddd-5676ebda2e10.json
deleted file mode 100644
index bce57e5a8..000000000
--- a/data/hfopenllm_v2/T145/Meta-Llama-3.1-8B-Instruct-TIES/15b92d44-3d68-4c6a-bddd-5676ebda2e10.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/T145_Meta-Llama-3.1-8B-Instruct-TIES/1762652579.900369",
-  "retrieved_timestamp": "1762652579.900369",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "T145/Meta-Llama-3.1-8B-Instruct-TIES",
-    "developer": "T145",
-    "inference_platform": "unknown",
-    "id": "T145/Meta-Llama-3.1-8B-Instruct-TIES",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5423542866261519
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5070111385564763
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.20996978851963746
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.29446308724832215
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3842916666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37799202127659576
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/T145/Meta-Llama-3.1-8B-Instruct-TIES/c66b1ff8-9c04-4f9c-b83e-088f31f79590.json b/data/hfopenllm_v2/T145/Meta-Llama-3.1-8B-Instruct-TIES/c66b1ff8-9c04-4f9c-b83e-088f31f79590.json
new file mode 100644
index 000000000..d2e2124a8
--- /dev/null
+++ b/data/hfopenllm_v2/T145/Meta-Llama-3.1-8B-Instruct-TIES/c66b1ff8-9c04-4f9c-b83e-088f31f79590.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/T145_Meta-Llama-3.1-8B-Instruct-TIES/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Meta-Llama-3.1-8B-Instruct-TIES",
+    "id": "T145/Meta-Llama-3.1-8B-Instruct-TIES",
+    "developer": "T145",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5424
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.507
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.21
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2945
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3843
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.378
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/T145/ZEUS-8B-V10/1bd2affc-9970-4149-b52b-51549b1f0029.json b/data/hfopenllm_v2/T145/ZEUS-8B-V10/1bd2affc-9970-4149-b52b-51549b1f0029.json
new file mode 100644
index 000000000..0c3eeb4e0
--- /dev/null
+++ b/data/hfopenllm_v2/T145/ZEUS-8B-V10/1bd2affc-9970-4149-b52b-51549b1f0029.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/T145_ZEUS-8B-V10/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "ZEUS-8B-V10",
+    "id": "T145/ZEUS-8B-V10",
+    "developer": "T145",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7707
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.527
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2115
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3247
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3898
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3904
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/T145/ZEUS-8B-V10/464bae3d-bd06-4264-a939-59ab8e562ca6.json b/data/hfopenllm_v2/T145/ZEUS-8B-V10/464bae3d-bd06-4264-a939-59ab8e562ca6.json
deleted file mode 100644
index f71146fd4..000000000
--- a/data/hfopenllm_v2/T145/ZEUS-8B-V10/464bae3d-bd06-4264-a939-59ab8e562ca6.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/T145_ZEUS-8B-V10/1762652579.900583",
-  "retrieved_timestamp": "1762652579.900584",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "T145/ZEUS-8B-V10",
-    "developer": "T145",
-    "inference_platform": "unknown",
-    "id": "T145/ZEUS-8B-V10",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7706651684197928
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5269758270442659
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.21148036253776434
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.32466442953020136
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.38978124999999997
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.390375664893617
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/T145/ZEUS-8B-V11/a6eedf29-9ec8-4b03-a8f5-c9c4e2bda688.json b/data/hfopenllm_v2/T145/ZEUS-8B-V11/a6eedf29-9ec8-4b03-a8f5-c9c4e2bda688.json
deleted file mode 100644
index 854b6bede..000000000
--- a/data/hfopenllm_v2/T145/ZEUS-8B-V11/a6eedf29-9ec8-4b03-a8f5-c9c4e2bda688.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/T145_ZEUS-8B-V11/1762652579.900793",
-  "retrieved_timestamp": "1762652579.900793",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "T145/ZEUS-8B-V11",
-    "developer": "T145",
-    "inference_platform": "unknown",
-    "id": "T145/ZEUS-8B-V11",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
-        "score": 0.8099575792231279
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5161982586505715
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3145973154362416
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.38066666666666665
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.38838098404255317
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/T145/ZEUS-8B-V11/f0479d74-4684-4b41-a63b-16d7fe0e3290.json b/data/hfopenllm_v2/T145/ZEUS-8B-V11/f0479d74-4684-4b41-a63b-16d7fe0e3290.json
new file mode 100644
index 000000000..65e7ba095
--- /dev/null
+++ b/data/hfopenllm_v2/T145/ZEUS-8B-V11/f0479d74-4684-4b41-a63b-16d7fe0e3290.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/T145_ZEUS-8B-V11/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "ZEUS-8B-V11",
+    "id": "T145/ZEUS-8B-V11",
+    "developer": "T145",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.81
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5162
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1964
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3146
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3807
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3884
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/T145/ZEUS-8B-V12/1ab70352-9bda-47c8-8bdf-90860934cfc7.json b/data/hfopenllm_v2/T145/ZEUS-8B-V12/1ab70352-9bda-47c8-8bdf-90860934cfc7.json
deleted file mode 100644
index f4730f67d..000000000
--- a/data/hfopenllm_v2/T145/ZEUS-8B-V12/1ab70352-9bda-47c8-8bdf-90860934cfc7.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/T145_ZEUS-8B-V12/1762652579.901004",
-  "retrieved_timestamp": "1762652579.901004",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "T145/ZEUS-8B-V12",
-    "developer": "T145",
-    "inference_platform": "unknown",
-    "id": "T145/ZEUS-8B-V12",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.781556270695089
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5253912026310238
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.21148036253776434
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.32046979865771813
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.38584375
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3912067819148936
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/T145/ZEUS-8B-V12/95deb890-a15d-4c71-8151-ed45c3dfb87f.json b/data/hfopenllm_v2/T145/ZEUS-8B-V12/95deb890-a15d-4c71-8151-ed45c3dfb87f.json
new file mode 100644
index 000000000..2173c77bb
--- /dev/null
+++ b/data/hfopenllm_v2/T145/ZEUS-8B-V12/95deb890-a15d-4c71-8151-ed45c3dfb87f.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/T145_ZEUS-8B-V12/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "ZEUS-8B-V12",
+    "id": "T145/ZEUS-8B-V12",
+    "developer": "T145",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7816
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5254
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2115
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3205
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3858
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3912
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/T145/ZEUS-8B-V13-abliterated/1c07fc4c-a773-4e03-bb14-7144e7815c01.json b/data/hfopenllm_v2/T145/ZEUS-8B-V13-abliterated/1c07fc4c-a773-4e03-bb14-7144e7815c01.json
new file mode 100644
index 000000000..4f8852135
--- /dev/null
+++ b/data/hfopenllm_v2/T145/ZEUS-8B-V13-abliterated/1c07fc4c-a773-4e03-bb14-7144e7815c01.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/T145_ZEUS-8B-V13-abliterated/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "ZEUS-8B-V13-abliterated",
+    "id": "T145/ZEUS-8B-V13-abliterated",
+    "developer": "T145",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7878
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5198
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.179
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3112
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3871
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3872
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/T145/ZEUS-8B-V13-abliterated/7c39d06a-dafe-40a7-b5a1-dca14dcadff2.json b/data/hfopenllm_v2/T145/ZEUS-8B-V13-abliterated/7c39d06a-dafe-40a7-b5a1-dca14dcadff2.json
deleted file mode 100644
index e70a6cf0b..000000000
--- a/data/hfopenllm_v2/T145/ZEUS-8B-V13-abliterated/7c39d06a-dafe-40a7-b5a1-dca14dcadff2.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/T145_ZEUS-8B-V13-abliterated/1762652579.901429",
-  "retrieved_timestamp": "1762652579.9014301",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "T145/ZEUS-8B-V13-abliterated",
-    "developer": "T145",
-    "inference_platform": "unknown",
-    "id": "T145/ZEUS-8B-V13-abliterated",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7877509452696623
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5197597316957202
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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diff --git a/data/hfopenllm_v2/T145/ZEUS-8B-V13/10823e50-9478-4a8a-83cf-5169a0bc1f1f.json b/data/hfopenllm_v2/T145/ZEUS-8B-V13/10823e50-9478-4a8a-83cf-5169a0bc1f1f.json
deleted file mode 100644
index 49650d1a4..000000000
--- a/data/hfopenllm_v2/T145/ZEUS-8B-V13/10823e50-9478-4a8a-83cf-5169a0bc1f1f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/T145_ZEUS-8B-V13/1762652579.90121",
-  "retrieved_timestamp": "1762652579.9012108",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "T145/ZEUS-8B-V13",
-    "developer": "T145",
-    "inference_platform": "unknown",
-    "id": "T145/ZEUS-8B-V13",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7904238531540756
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-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
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-        "lower_is_better": false,
-        "score_type": "continuous",
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-        "max_score": 1
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-      "score_details": {
-        "score": 0.3238255033557047
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-    {
-      "evaluation_name": "MUSR",
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-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
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-        "max_score": 1
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-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
-        "score": 0.39112367021276595
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/T145/ZEUS-8B-V13/e7e8388e-db3c-4881-b67c-5177c60562b9.json b/data/hfopenllm_v2/T145/ZEUS-8B-V13/e7e8388e-db3c-4881-b67c-5177c60562b9.json
new file mode 100644
index 000000000..f1a974e92
--- /dev/null
+++ b/data/hfopenllm_v2/T145/ZEUS-8B-V13/e7e8388e-db3c-4881-b67c-5177c60562b9.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/T145_ZEUS-8B-V13/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "ZEUS-8B-V13",
+    "id": "T145/ZEUS-8B-V13",
+    "developer": "T145",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7904
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5277
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2137
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3238
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3845
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3911
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/T145/ZEUS-8B-V14/2b0eb3f5-d35e-41ea-ba69-18c0b8a3e1e1.json b/data/hfopenllm_v2/T145/ZEUS-8B-V14/2b0eb3f5-d35e-41ea-ba69-18c0b8a3e1e1.json
deleted file mode 100644
index 401a09c60..000000000
--- a/data/hfopenllm_v2/T145/ZEUS-8B-V14/2b0eb3f5-d35e-41ea-ba69-18c0b8a3e1e1.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "retrieved_timestamp": "1762652579.901653",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "T145/ZEUS-8B-V14",
-    "developer": "T145",
-    "inference_platform": "unknown",
-    "id": "T145/ZEUS-8B-V14",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
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-    {
-      "evaluation_name": "BBH",
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-      "score_details": {
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-    {
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-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.32046979865771813
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3844479166666666
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3913730053191489
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/T145/ZEUS-8B-V14/c4923208-2a47-45f2-a74a-4483e4b99bee.json b/data/hfopenllm_v2/T145/ZEUS-8B-V14/c4923208-2a47-45f2-a74a-4483e4b99bee.json
new file mode 100644
index 000000000..0b3a25678
--- /dev/null
+++ b/data/hfopenllm_v2/T145/ZEUS-8B-V14/c4923208-2a47-45f2-a74a-4483e4b99bee.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/T145_ZEUS-8B-V14/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "ZEUS-8B-V14",
+    "id": "T145/ZEUS-8B-V14",
+    "developer": "T145",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7709
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5275
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.213
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3205
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3844
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3914
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/T145/ZEUS-8B-V15/3e1be4f3-478f-4061-9856-f1beb0a749de.json b/data/hfopenllm_v2/T145/ZEUS-8B-V15/3e1be4f3-478f-4061-9856-f1beb0a749de.json
deleted file mode 100644
index 86a6c0004..000000000
--- a/data/hfopenllm_v2/T145/ZEUS-8B-V15/3e1be4f3-478f-4061-9856-f1beb0a749de.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/T145_ZEUS-8B-V15/1762652579.901858",
-  "retrieved_timestamp": "1762652579.901859",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "T145/ZEUS-8B-V15",
-    "developer": "T145",
-    "inference_platform": "unknown",
-    "id": "T145/ZEUS-8B-V15",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 4.015
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.701272623306161
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5537552380544757
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.23036253776435045
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.276006711409396
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.40199999999999997
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.40591755319148937
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/T145/ZEUS-8B-V15/b5f06a78-5b57-45a5-93be-4f3c1b36f208.json b/data/hfopenllm_v2/T145/ZEUS-8B-V15/b5f06a78-5b57-45a5-93be-4f3c1b36f208.json
new file mode 100644
index 000000000..b2f90345b
--- /dev/null
+++ b/data/hfopenllm_v2/T145/ZEUS-8B-V15/b5f06a78-5b57-45a5-93be-4f3c1b36f208.json
@@ -0,0 +1,132 @@
+{
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+  "evaluation_id": "hfopenllm_v2/T145_ZEUS-8B-V15/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
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+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "ZEUS-8B-V15",
+    "id": "T145/ZEUS-8B-V15",
+    "developer": "T145",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 4.015
+    }
+  },
+  "evaluation_results": [
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5538
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+    },
+    {
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+        "hf_repo": "Idavidrein/gpqa"
+      },
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+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.276
+      }
+    },
+    {
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+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+    },
+    {
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+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4059
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/T145/ZEUS-8B-V16/7beef3ca-6423-4a81-836d-0e4cdc4af973.json b/data/hfopenllm_v2/T145/ZEUS-8B-V16/7beef3ca-6423-4a81-836d-0e4cdc4af973.json
deleted file mode 100644
index 6a2c42ded..000000000
--- a/data/hfopenllm_v2/T145/ZEUS-8B-V16/7beef3ca-6423-4a81-836d-0e4cdc4af973.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
-    "name": "T145/ZEUS-8B-V16",
-    "developer": "T145",
-    "inference_platform": "unknown",
-    "id": "T145/ZEUS-8B-V16",
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-      "precision": "bfloat16",
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-        "lower_is_better": false,
-        "score_type": "continuous",
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-        "lower_is_better": false,
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-        "max_score": 1
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-    },
-    {
-      "evaluation_name": "MUSR",
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-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-    {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-}
diff --git a/data/hfopenllm_v2/T145/ZEUS-8B-V16/835f19d3-515c-4bc4-ab96-5cb5bece45dc.json b/data/hfopenllm_v2/T145/ZEUS-8B-V16/835f19d3-515c-4bc4-ab96-5cb5bece45dc.json
new file mode 100644
index 000000000..5181ab5f4
--- /dev/null
+++ b/data/hfopenllm_v2/T145/ZEUS-8B-V16/835f19d3-515c-4bc4-ab96-5cb5bece45dc.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/T145_ZEUS-8B-V16/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "ZEUS-8B-V16",
+    "id": "T145/ZEUS-8B-V16",
+    "developer": "T145",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7925
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5266
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2205
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.307
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3951
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3926
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/T145/ZEUS-8B-V17-abliterated-V2/3344d19c-c79b-48b3-be5b-f5f27d6920ce.json b/data/hfopenllm_v2/T145/ZEUS-8B-V17-abliterated-V2/3344d19c-c79b-48b3-be5b-f5f27d6920ce.json
deleted file mode 100644
index 930c705fe..000000000
--- a/data/hfopenllm_v2/T145/ZEUS-8B-V17-abliterated-V2/3344d19c-c79b-48b3-be5b-f5f27d6920ce.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "source_data": [
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-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "T145/ZEUS-8B-V17-abliterated-V2",
-    "developer": "T145",
-    "inference_platform": "unknown",
-    "id": "T145/ZEUS-8B-V17-abliterated-V2",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
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-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
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-        "lower_is_better": false,
-        "score_type": "continuous",
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-        "max_score": 1
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-    {
-      "evaluation_name": "MATH Level 5",
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-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-    },
-    {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.27348993288590606
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3407291666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.34017619680851063
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/T145/ZEUS-8B-V17-abliterated-V2/7dd96382-6fc1-4a39-924b-d9034b5b0839.json b/data/hfopenllm_v2/T145/ZEUS-8B-V17-abliterated-V2/7dd96382-6fc1-4a39-924b-d9034b5b0839.json
new file mode 100644
index 000000000..978451253
--- /dev/null
+++ b/data/hfopenllm_v2/T145/ZEUS-8B-V17-abliterated-V2/7dd96382-6fc1-4a39-924b-d9034b5b0839.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/T145_ZEUS-8B-V17-abliterated-V2/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "ZEUS-8B-V17-abliterated-V2",
+    "id": "T145/ZEUS-8B-V17-abliterated-V2",
+    "developer": "T145",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6532
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4928
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1118
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2735
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3407
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3402
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/T145/ZEUS-8B-V17-abliterated-V4/77a666a2-a9b2-43cc-8e64-67172f4ab6c8.json b/data/hfopenllm_v2/T145/ZEUS-8B-V17-abliterated-V4/77a666a2-a9b2-43cc-8e64-67172f4ab6c8.json
new file mode 100644
index 000000000..cee81252f
--- /dev/null
+++ b/data/hfopenllm_v2/T145/ZEUS-8B-V17-abliterated-V4/77a666a2-a9b2-43cc-8e64-67172f4ab6c8.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/T145_ZEUS-8B-V17-abliterated-V4/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "ZEUS-8B-V17-abliterated-V4",
+    "id": "T145/ZEUS-8B-V17-abliterated-V4",
+    "developer": "T145",
+    "inference_platform": "unknown",
+    "additional_details": {
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+      "params_billions": 8.03
+    }
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+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
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+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7228
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5169
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0937
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2836
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4187
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/T145/ZEUS-8B-V17-abliterated-V4/bf9c0bfa-98e5-45b2-8819-0911af81d78f.json b/data/hfopenllm_v2/T145/ZEUS-8B-V17-abliterated-V4/bf9c0bfa-98e5-45b2-8819-0911af81d78f.json
deleted file mode 100644
index 959765d83..000000000
--- a/data/hfopenllm_v2/T145/ZEUS-8B-V17-abliterated-V4/bf9c0bfa-98e5-45b2-8819-0911af81d78f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/T145_ZEUS-8B-V17-abliterated-V4/1762652579.902891",
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-    "source_type": "documentation"
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-  "model_info": {
-    "name": "T145/ZEUS-8B-V17-abliterated-V4",
-    "developer": "T145",
-    "inference_platform": "unknown",
-    "id": "T145/ZEUS-8B-V17-abliterated-V4",
-    "additional_details": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
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-        "max_score": 1
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-}
diff --git a/data/hfopenllm_v2/T145/ZEUS-8B-V17-abliterated/35f89ab6-c6c9-41cd-9296-af4921490c3f.json b/data/hfopenllm_v2/T145/ZEUS-8B-V17-abliterated/35f89ab6-c6c9-41cd-9296-af4921490c3f.json
deleted file mode 100644
index 60f1096b7..000000000
--- a/data/hfopenllm_v2/T145/ZEUS-8B-V17-abliterated/35f89ab6-c6c9-41cd-9296-af4921490c3f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
-    "name": "T145/ZEUS-8B-V17-abliterated",
-    "developer": "T145",
-    "inference_platform": "unknown",
-    "id": "T145/ZEUS-8B-V17-abliterated",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
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-    },
-    {
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-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-    }
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-}
diff --git a/data/hfopenllm_v2/T145/ZEUS-8B-V17-abliterated/e3eae267-46ab-4433-a8f3-2a2f8448299b.json b/data/hfopenllm_v2/T145/ZEUS-8B-V17-abliterated/e3eae267-46ab-4433-a8f3-2a2f8448299b.json
new file mode 100644
index 000000000..f3ac720d6
--- /dev/null
+++ b/data/hfopenllm_v2/T145/ZEUS-8B-V17-abliterated/e3eae267-46ab-4433-a8f3-2a2f8448299b.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/T145_ZEUS-8B-V17-abliterated/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "ZEUS-8B-V17-abliterated",
+    "id": "T145/ZEUS-8B-V17-abliterated",
+    "developer": "T145",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 7.594
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7576
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.52
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3037
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4269
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3622
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/T145/ZEUS-8B-V17/0368a3ba-e461-45d1-a037-3b9160a8efbb.json b/data/hfopenllm_v2/T145/ZEUS-8B-V17/0368a3ba-e461-45d1-a037-3b9160a8efbb.json
deleted file mode 100644
index ac5bb11fe..000000000
--- a/data/hfopenllm_v2/T145/ZEUS-8B-V17/0368a3ba-e461-45d1-a037-3b9160a8efbb.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
-    "name": "T145/ZEUS-8B-V17",
-    "developer": "T145",
-    "inference_platform": "unknown",
-    "id": "T145/ZEUS-8B-V17",
-    "additional_details": {
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-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
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diff --git a/data/hfopenllm_v2/T145/ZEUS-8B-V17/e31308c4-8eb2-4a72-8127-18049d58b814.json b/data/hfopenllm_v2/T145/ZEUS-8B-V17/e31308c4-8eb2-4a72-8127-18049d58b814.json
new file mode 100644
index 000000000..7b6a3680c
--- /dev/null
+++ b/data/hfopenllm_v2/T145/ZEUS-8B-V17/e31308c4-8eb2-4a72-8127-18049d58b814.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/T145_ZEUS-8B-V17/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "ZEUS-8B-V17",
+    "id": "T145/ZEUS-8B-V17",
+    "developer": "T145",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7941
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+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5251
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+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
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+        "evaluation_description": "Exact Match on MATH Level 5",
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+        "score_type": "continuous",
+        "min_score": 0.0,
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
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+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
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+      }
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/T145/ZEUS-8B-V18/c7098a7a-e865-4ecd-b511-abeb2c0872bd.json b/data/hfopenllm_v2/T145/ZEUS-8B-V18/c7098a7a-e865-4ecd-b511-abeb2c0872bd.json
new file mode 100644
index 000000000..4f93f40a0
--- /dev/null
+++ b/data/hfopenllm_v2/T145/ZEUS-8B-V18/c7098a7a-e865-4ecd-b511-abeb2c0872bd.json
@@ -0,0 +1,132 @@
+{
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+  "evaluation_id": "hfopenllm_v2/T145_ZEUS-8B-V18/1770682486.623709",
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+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "ZEUS-8B-V18",
+    "id": "T145/ZEUS-8B-V18",
+    "developer": "T145",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
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+  "evaluation_results": [
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+        "source_type": "hf_dataset",
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+      },
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+        "score_type": "continuous",
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
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+    {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+      },
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+    },
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4043
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+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "max_score": 1.0
+      },
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+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/T145/ZEUS-8B-V18/e5d250e7-8d0a-48b5-aaad-3d1da02eab00.json b/data/hfopenllm_v2/T145/ZEUS-8B-V18/e5d250e7-8d0a-48b5-aaad-3d1da02eab00.json
deleted file mode 100644
index 25c5138e2..000000000
--- a/data/hfopenllm_v2/T145/ZEUS-8B-V18/e5d250e7-8d0a-48b5-aaad-3d1da02eab00.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "retrieved_timestamp": "1762652579.903115",
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
-    "name": "T145/ZEUS-8B-V18",
-    "developer": "T145",
-    "inference_platform": "unknown",
-    "id": "T145/ZEUS-8B-V18",
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-        "lower_is_better": false,
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-        "lower_is_better": false,
-        "score_type": "continuous",
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-    }
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diff --git a/data/hfopenllm_v2/T145/ZEUS-8B-V19/0392cccb-0a1c-486e-876a-1404f14a1080.json b/data/hfopenllm_v2/T145/ZEUS-8B-V19/0392cccb-0a1c-486e-876a-1404f14a1080.json
deleted file mode 100644
index b2b47a3aa..000000000
--- a/data/hfopenllm_v2/T145/ZEUS-8B-V19/0392cccb-0a1c-486e-876a-1404f14a1080.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-}
diff --git a/data/hfopenllm_v2/T145/ZEUS-8B-V19/b3a8c734-e63a-47f7-af2c-a3b6518802fa.json b/data/hfopenllm_v2/T145/ZEUS-8B-V19/b3a8c734-e63a-47f7-af2c-a3b6518802fa.json
new file mode 100644
index 000000000..893297bba
--- /dev/null
+++ b/data/hfopenllm_v2/T145/ZEUS-8B-V19/b3a8c734-e63a-47f7-af2c-a3b6518802fa.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/T145_ZEUS-8B-V19/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "ZEUS-8B-V19",
+    "id": "T145/ZEUS-8B-V19",
+    "developer": "T145",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5276
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+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
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+        "min_score": 0.0,
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+    },
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+        "hf_repo": "Idavidrein/gpqa"
+      },
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+        "evaluation_description": "Accuracy on GPQA",
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+      },
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+    },
+    {
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+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
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+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
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+        "score_type": "continuous",
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+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3934
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+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/T145/ZEUS-8B-V2-ORPO/35937965-2791-4f75-8954-5a2280381c91.json b/data/hfopenllm_v2/T145/ZEUS-8B-V2-ORPO/35937965-2791-4f75-8954-5a2280381c91.json
new file mode 100644
index 000000000..970e9dcd6
--- /dev/null
+++ b/data/hfopenllm_v2/T145/ZEUS-8B-V2-ORPO/35937965-2791-4f75-8954-5a2280381c91.json
@@ -0,0 +1,132 @@
+{
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+  "evaluation_id": "hfopenllm_v2/T145_ZEUS-8B-V2-ORPO/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
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+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
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+  "model_info": {
+    "name": "ZEUS-8B-V2-ORPO",
+    "id": "T145/ZEUS-8B-V2-ORPO",
+    "developer": "T145",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 4.015
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+  },
+  "evaluation_results": [
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
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+    },
+    {
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+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
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+        "max_score": 1.0
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+      "score_details": {
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+    },
+    {
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+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "hf_repo": "Idavidrein/gpqa"
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+        "score": 0.3104
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3935
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3678
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/T145/ZEUS-8B-V2-ORPO/588b0fce-37cd-41f1-8eaa-50383cdc0f00.json b/data/hfopenllm_v2/T145/ZEUS-8B-V2-ORPO/588b0fce-37cd-41f1-8eaa-50383cdc0f00.json
deleted file mode 100644
index b252a7a53..000000000
--- a/data/hfopenllm_v2/T145/ZEUS-8B-V2-ORPO/588b0fce-37cd-41f1-8eaa-50383cdc0f00.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/T145_ZEUS-8B-V2-ORPO/1762652579.903775",
-  "retrieved_timestamp": "1762652579.903776",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "T145/ZEUS-8B-V2-ORPO",
-    "developer": "T145",
-    "inference_platform": "unknown",
-    "id": "T145/ZEUS-8B-V2-ORPO",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 4.015
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7186830941900824
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5075246906772
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.18277945619335348
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3104026845637584
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.39349999999999996
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3677692819148936
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/T145/ZEUS-8B-V2-abliterated/4ab806fe-738d-4f5b-89e4-004134d2f7fe.json b/data/hfopenllm_v2/T145/ZEUS-8B-V2-abliterated/4ab806fe-738d-4f5b-89e4-004134d2f7fe.json
new file mode 100644
index 000000000..1e938c379
--- /dev/null
+++ b/data/hfopenllm_v2/T145/ZEUS-8B-V2-abliterated/4ab806fe-738d-4f5b-89e4-004134d2f7fe.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/T145_ZEUS-8B-V2-abliterated/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "ZEUS-8B-V2-abliterated",
+    "id": "T145/ZEUS-8B-V2-abliterated",
+    "developer": "T145",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7895
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5129
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2115
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3129
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3911
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3825
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/T145/ZEUS-8B-V2-abliterated/926fb6ed-0750-4d04-8e3c-da470e236db2.json b/data/hfopenllm_v2/T145/ZEUS-8B-V2-abliterated/926fb6ed-0750-4d04-8e3c-da470e236db2.json
deleted file mode 100644
index f280ae158..000000000
--- a/data/hfopenllm_v2/T145/ZEUS-8B-V2-abliterated/926fb6ed-0750-4d04-8e3c-da470e236db2.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/T145_ZEUS-8B-V2-abliterated/1762652579.9039848",
-  "retrieved_timestamp": "1762652579.903986",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "T145/ZEUS-8B-V2-abliterated",
-    "developer": "T145",
-    "inference_platform": "unknown",
-    "id": "T145/ZEUS-8B-V2-abliterated",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7895495064207414
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5128868622210663
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.21148036253776434
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.31291946308724833
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3910833333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.38248005319148937
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/T145/ZEUS-8B-V2/a937e27e-b757-4de7-b679-01ac29d8bb22.json b/data/hfopenllm_v2/T145/ZEUS-8B-V2/a937e27e-b757-4de7-b679-01ac29d8bb22.json
new file mode 100644
index 000000000..d403098af
--- /dev/null
+++ b/data/hfopenllm_v2/T145/ZEUS-8B-V2/a937e27e-b757-4de7-b679-01ac29d8bb22.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/T145_ZEUS-8B-V2/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "ZEUS-8B-V2",
+    "id": "T145/ZEUS-8B-V2",
+    "developer": "T145",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.8029
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5194
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.216
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.302
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.391
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3896
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/T145/ZEUS-8B-V2/e64503c5-d9ce-4544-8caf-0fec97a2b592.json b/data/hfopenllm_v2/T145/ZEUS-8B-V2/e64503c5-d9ce-4544-8caf-0fec97a2b592.json
deleted file mode 100644
index b8908b54b..000000000
--- a/data/hfopenllm_v2/T145/ZEUS-8B-V2/e64503c5-d9ce-4544-8caf-0fec97a2b592.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/T145_ZEUS-8B-V2/1762652579.9035678",
-  "retrieved_timestamp": "1762652579.903569",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "T145/ZEUS-8B-V2",
-    "developer": "T145",
-    "inference_platform": "unknown",
-    "id": "T145/ZEUS-8B-V2",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.8029384255996312
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5194405455747161
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.21601208459214502
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30201342281879195
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3910208333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3896276595744681
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/T145/ZEUS-8B-V20/0ba8bca5-3a61-499a-8e2d-ca84f52ef654.json b/data/hfopenllm_v2/T145/ZEUS-8B-V20/0ba8bca5-3a61-499a-8e2d-ca84f52ef654.json
deleted file mode 100644
index 5bcad29bc..000000000
--- a/data/hfopenllm_v2/T145/ZEUS-8B-V20/0ba8bca5-3a61-499a-8e2d-ca84f52ef654.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "retrieved_timestamp": "1762652579.904203",
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-    "source_name": "HF Open LLM v2",
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-    "developer": "T145",
-    "inference_platform": "unknown",
-    "id": "T145/ZEUS-8B-V20",
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-      "architecture": "LlamaForCausalLM",
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-        "score_type": "continuous",
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-        "max_score": 1
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-    {
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-      "metric_config": {
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-        "lower_is_better": false,
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-        "max_score": 1
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-}
diff --git a/data/hfopenllm_v2/T145/ZEUS-8B-V20/1d906aab-33a6-4ffe-8a63-694482d83d09.json b/data/hfopenllm_v2/T145/ZEUS-8B-V20/1d906aab-33a6-4ffe-8a63-694482d83d09.json
new file mode 100644
index 000000000..269fa1ea5
--- /dev/null
+++ b/data/hfopenllm_v2/T145/ZEUS-8B-V20/1d906aab-33a6-4ffe-8a63-694482d83d09.json
@@ -0,0 +1,132 @@
+{
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+  "evaluation_id": "hfopenllm_v2/T145_ZEUS-8B-V20/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "ZEUS-8B-V20",
+    "id": "T145/ZEUS-8B-V20",
+    "developer": "T145",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7956
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+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5244
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+    {
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+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.323
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4043
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+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.393
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/T145/ZEUS-8B-V21/380a44ec-387a-4f34-92c2-18fc7a8d5ce0.json b/data/hfopenllm_v2/T145/ZEUS-8B-V21/380a44ec-387a-4f34-92c2-18fc7a8d5ce0.json
deleted file mode 100644
index cc6c997ba..000000000
--- a/data/hfopenllm_v2/T145/ZEUS-8B-V21/380a44ec-387a-4f34-92c2-18fc7a8d5ce0.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
-    "name": "T145/ZEUS-8B-V21",
-    "developer": "T145",
-    "inference_platform": "unknown",
-    "id": "T145/ZEUS-8B-V21",
-    "additional_details": {
-      "precision": "bfloat16",
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-        "min_score": 0,
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-        "score": 0.26426174496644295
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-    },
-    {
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-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.32615625
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-}
diff --git a/data/hfopenllm_v2/T145/ZEUS-8B-V21/9e101298-6482-4ae8-83e4-b948ba8fa550.json b/data/hfopenllm_v2/T145/ZEUS-8B-V21/9e101298-6482-4ae8-83e4-b948ba8fa550.json
new file mode 100644
index 000000000..55ec61818
--- /dev/null
+++ b/data/hfopenllm_v2/T145/ZEUS-8B-V21/9e101298-6482-4ae8-83e4-b948ba8fa550.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/T145_ZEUS-8B-V21/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "ZEUS-8B-V21",
+    "id": "T145/ZEUS-8B-V21",
+    "developer": "T145",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3785
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3398
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1594
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2643
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3262
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1714
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/T145/ZEUS-8B-V22/3818710d-80a9-4e7d-90e3-f06afffb71ac.json b/data/hfopenllm_v2/T145/ZEUS-8B-V22/3818710d-80a9-4e7d-90e3-f06afffb71ac.json
new file mode 100644
index 000000000..35e2f1e24
--- /dev/null
+++ b/data/hfopenllm_v2/T145/ZEUS-8B-V22/3818710d-80a9-4e7d-90e3-f06afffb71ac.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/T145_ZEUS-8B-V22/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "ZEUS-8B-V22",
+    "id": "T145/ZEUS-8B-V22",
+    "developer": "T145",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7995
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5245
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2228
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.328
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.399
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3938
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/T145/ZEUS-8B-V22/3f44a1c0-b70a-4712-a0c1-bdf3318b270c.json b/data/hfopenllm_v2/T145/ZEUS-8B-V22/3f44a1c0-b70a-4712-a0c1-bdf3318b270c.json
deleted file mode 100644
index 30b92ad7e..000000000
--- a/data/hfopenllm_v2/T145/ZEUS-8B-V22/3f44a1c0-b70a-4712-a0c1-bdf3318b270c.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/T145_ZEUS-8B-V22/1762652579.9047282",
-  "retrieved_timestamp": "1762652579.9047291",
-  "source_data": [
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-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "T145/ZEUS-8B-V22",
-    "developer": "T145",
-    "inference_platform": "unknown",
-    "id": "T145/ZEUS-8B-V22",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/T145/ZEUS-8B-V23/a18ec0c4-6f3f-4904-b69c-e40770df169e.json b/data/hfopenllm_v2/T145/ZEUS-8B-V23/a18ec0c4-6f3f-4904-b69c-e40770df169e.json
new file mode 100644
index 000000000..9423e9265
--- /dev/null
+++ b/data/hfopenllm_v2/T145/ZEUS-8B-V23/a18ec0c4-6f3f-4904-b69c-e40770df169e.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/T145_ZEUS-8B-V23/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "ZEUS-8B-V23",
+    "id": "T145/ZEUS-8B-V23",
+    "developer": "T145",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7621
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+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5195
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.182
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3096
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3922
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3666
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/T145/ZEUS-8B-V23/f83b7584-0e52-4658-ae15-f295064b9111.json b/data/hfopenllm_v2/T145/ZEUS-8B-V23/f83b7584-0e52-4658-ae15-f295064b9111.json
deleted file mode 100644
index 0b22e53e3..000000000
--- a/data/hfopenllm_v2/T145/ZEUS-8B-V23/f83b7584-0e52-4658-ae15-f295064b9111.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/T145_ZEUS-8B-V23/1762652579.904932",
-  "retrieved_timestamp": "1762652579.9049332",
-  "source_data": [
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-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "T145/ZEUS-8B-V23",
-    "developer": "T145",
-    "inference_platform": "unknown",
-    "id": "T145/ZEUS-8B-V23",
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-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
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-      "evaluation_name": "IFEval",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-      },
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-        "lower_is_better": false,
-        "score_type": "continuous",
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-        "lower_is_better": false,
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-        "lower_is_better": false,
-        "score_type": "continuous",
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-        "max_score": 1
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-      "score_details": {
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-    {
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-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/T145/ZEUS-8B-V24/51368b21-1b48-4c07-9b09-8cae0786200b.json b/data/hfopenllm_v2/T145/ZEUS-8B-V24/51368b21-1b48-4c07-9b09-8cae0786200b.json
deleted file mode 100644
index 236344287..000000000
--- a/data/hfopenllm_v2/T145/ZEUS-8B-V24/51368b21-1b48-4c07-9b09-8cae0786200b.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/T145_ZEUS-8B-V24/1762652579.905136",
-  "retrieved_timestamp": "1762652579.9051368",
-  "source_data": [
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-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "T145/ZEUS-8B-V24",
-    "developer": "T145",
-    "inference_platform": "unknown",
-    "id": "T145/ZEUS-8B-V24",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
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-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-        "score_type": "continuous",
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-        "max_score": 1
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-    },
-    {
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-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/T145/ZEUS-8B-V24/529c2bd4-6b8e-4e3c-8737-c0b794444d13.json b/data/hfopenllm_v2/T145/ZEUS-8B-V24/529c2bd4-6b8e-4e3c-8737-c0b794444d13.json
new file mode 100644
index 000000000..cebba5e48
--- /dev/null
+++ b/data/hfopenllm_v2/T145/ZEUS-8B-V24/529c2bd4-6b8e-4e3c-8737-c0b794444d13.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/T145_ZEUS-8B-V24/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "ZEUS-8B-V24",
+    "id": "T145/ZEUS-8B-V24",
+    "developer": "T145",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4778
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1458
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2617
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3729
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3285
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/T145/ZEUS-8B-V25/52b41117-c308-4e8c-9c61-ce8e4faf778f.json b/data/hfopenllm_v2/T145/ZEUS-8B-V25/52b41117-c308-4e8c-9c61-ce8e4faf778f.json
deleted file mode 100644
index 9d3bbe405..000000000
--- a/data/hfopenllm_v2/T145/ZEUS-8B-V25/52b41117-c308-4e8c-9c61-ce8e4faf778f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/T145_ZEUS-8B-V25/1762652579.905337",
-  "retrieved_timestamp": "1762652579.905338",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
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-  "source_metadata": {
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "T145/ZEUS-8B-V25",
-    "developer": "T145",
-    "inference_platform": "unknown",
-    "id": "T145/ZEUS-8B-V25",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
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-      "evaluation_name": "IFEval",
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-        "score_type": "continuous",
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-      "score_details": {
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-        "score": 0.2039274924471299
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-    {
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-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.26426174496644295
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
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-        "score_type": "continuous",
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-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
-        "score": 0.2884807180851064
-      }
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-  ]
-}
diff --git a/data/hfopenllm_v2/T145/ZEUS-8B-V25/9e994362-a1d1-48f7-9db1-dd9d532b9f35.json b/data/hfopenllm_v2/T145/ZEUS-8B-V25/9e994362-a1d1-48f7-9db1-dd9d532b9f35.json
new file mode 100644
index 000000000..7c03079a9
--- /dev/null
+++ b/data/hfopenllm_v2/T145/ZEUS-8B-V25/9e994362-a1d1-48f7-9db1-dd9d532b9f35.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/T145_ZEUS-8B-V25/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "ZEUS-8B-V25",
+    "id": "T145/ZEUS-8B-V25",
+    "developer": "T145",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.332
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4547
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2039
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2643
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3488
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2885
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/T145/ZEUS-8B-V26/8ae81cea-b179-4025-916a-9bc73755de82.json b/data/hfopenllm_v2/T145/ZEUS-8B-V26/8ae81cea-b179-4025-916a-9bc73755de82.json
deleted file mode 100644
index d758279e0..000000000
--- a/data/hfopenllm_v2/T145/ZEUS-8B-V26/8ae81cea-b179-4025-916a-9bc73755de82.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/T145_ZEUS-8B-V26/1762652579.905539",
-  "retrieved_timestamp": "1762652579.905539",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "T145/ZEUS-8B-V26",
-    "developer": "T145",
-    "inference_platform": "unknown",
-    "id": "T145/ZEUS-8B-V26",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6707979272774018
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5231548583920674
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.12462235649546828
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2953020134228188
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.40162499999999995
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.39070811170212766
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/T145/ZEUS-8B-V26/cf35b7db-f675-4362-8916-36b0582b64f4.json b/data/hfopenllm_v2/T145/ZEUS-8B-V26/cf35b7db-f675-4362-8916-36b0582b64f4.json
new file mode 100644
index 000000000..1c35fccff
--- /dev/null
+++ b/data/hfopenllm_v2/T145/ZEUS-8B-V26/cf35b7db-f675-4362-8916-36b0582b64f4.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/T145_ZEUS-8B-V26/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "ZEUS-8B-V26",
+    "id": "T145/ZEUS-8B-V26",
+    "developer": "T145",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6708
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5232
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1246
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2953
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4016
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3907
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/T145/ZEUS-8B-V27/79ee7e34-36cd-4024-8978-86c1b059ae5f.json b/data/hfopenllm_v2/T145/ZEUS-8B-V27/79ee7e34-36cd-4024-8978-86c1b059ae5f.json
new file mode 100644
index 000000000..6b17c7f6a
--- /dev/null
+++ b/data/hfopenllm_v2/T145/ZEUS-8B-V27/79ee7e34-36cd-4024-8978-86c1b059ae5f.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/T145_ZEUS-8B-V27/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "ZEUS-8B-V27",
+    "id": "T145/ZEUS-8B-V27",
+    "developer": "T145",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6544
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.523
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1344
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3079
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3977
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3902
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/T145/ZEUS-8B-V27/bf31323b-bfb5-464a-b343-0605dafb5a60.json b/data/hfopenllm_v2/T145/ZEUS-8B-V27/bf31323b-bfb5-464a-b343-0605dafb5a60.json
deleted file mode 100644
index 10214a5c5..000000000
--- a/data/hfopenllm_v2/T145/ZEUS-8B-V27/bf31323b-bfb5-464a-b343-0605dafb5a60.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/T145_ZEUS-8B-V27/1762652579.9057322",
-  "retrieved_timestamp": "1762652579.905733",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "T145/ZEUS-8B-V27",
-    "developer": "T145",
-    "inference_platform": "unknown",
-    "id": "T145/ZEUS-8B-V27",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.654361538495636
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.52303129292911
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.13444108761329304
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30788590604026844
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.39768749999999997
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3902094414893617
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/T145/ZEUS-8B-V28/9ec4fb99-ed4d-416e-9342-0c036aadd35d.json b/data/hfopenllm_v2/T145/ZEUS-8B-V28/9ec4fb99-ed4d-416e-9342-0c036aadd35d.json
new file mode 100644
index 000000000..1ebb0754d
--- /dev/null
+++ b/data/hfopenllm_v2/T145/ZEUS-8B-V28/9ec4fb99-ed4d-416e-9342-0c036aadd35d.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
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+    "source_type": "documentation",
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+  },
+  "model_info": {
+    "name": "ZEUS-8B-V28",
+    "id": "T145/ZEUS-8B-V28",
+    "developer": "T145",
+    "inference_platform": "unknown",
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+        "source_type": "hf_dataset",
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+        "lower_is_better": false,
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+        "max_score": 1.0
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+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5254
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+      "score_details": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
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+        "evaluation_description": "Accuracy on GPQA",
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+        "score_type": "continuous",
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+        "max_score": 1.0
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+      "score_details": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
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+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "max_score": 1.0
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+      "score_details": {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3902
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/T145/ZEUS-8B-V28/e31561ff-779a-4ebe-b6fe-686b2895c53b.json b/data/hfopenllm_v2/T145/ZEUS-8B-V28/e31561ff-779a-4ebe-b6fe-686b2895c53b.json
deleted file mode 100644
index b67c86ead..000000000
--- a/data/hfopenllm_v2/T145/ZEUS-8B-V28/e31561ff-779a-4ebe-b6fe-686b2895c53b.json
+++ /dev/null
@@ -1,105 +0,0 @@
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-    "source_name": "HF Open LLM v2",
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-    "id": "T145/ZEUS-8B-V28",
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-        "lower_is_better": false,
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diff --git a/data/hfopenllm_v2/T145/ZEUS-8B-V29/8788e4fa-04c5-4f7c-bb4e-523287901f71.json b/data/hfopenllm_v2/T145/ZEUS-8B-V29/8788e4fa-04c5-4f7c-bb4e-523287901f71.json
new file mode 100644
index 000000000..a0483b34c
--- /dev/null
+++ b/data/hfopenllm_v2/T145/ZEUS-8B-V29/8788e4fa-04c5-4f7c-bb4e-523287901f71.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/T145_ZEUS-8B-V29/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "ZEUS-8B-V29",
+    "id": "T145/ZEUS-8B-V29",
+    "developer": "T145",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7418
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+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5253
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+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+      "score_details": {
+        "score": 0.1601
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+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3263
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4003
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+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.392
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+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/T145/ZEUS-8B-V29/c383684a-2f70-46e9-ab55-4d68903613b3.json b/data/hfopenllm_v2/T145/ZEUS-8B-V29/c383684a-2f70-46e9-ab55-4d68903613b3.json
deleted file mode 100644
index 69f6ff82a..000000000
--- a/data/hfopenllm_v2/T145/ZEUS-8B-V29/c383684a-2f70-46e9-ab55-4d68903613b3.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "T145/ZEUS-8B-V29",
-    "developer": "T145",
-    "inference_platform": "unknown",
-    "id": "T145/ZEUS-8B-V29",
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-        "score_type": "continuous",
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-        "max_score": 1
-      },
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-        "min_score": 0,
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-      "score_details": {
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-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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diff --git a/data/hfopenllm_v2/T145/ZEUS-8B-V2L1/015f91ef-9318-44d6-acb2-17628000c273.json b/data/hfopenllm_v2/T145/ZEUS-8B-V2L1/015f91ef-9318-44d6-acb2-17628000c273.json
deleted file mode 100644
index b87bc7475..000000000
--- a/data/hfopenllm_v2/T145/ZEUS-8B-V2L1/015f91ef-9318-44d6-acb2-17628000c273.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "retrieved_timestamp": "1762652579.906317",
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-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
-    "name": "T145/ZEUS-8B-V2L1",
-    "developer": "T145",
-    "inference_platform": "unknown",
-    "id": "T145/ZEUS-8B-V2L1",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
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-  "evaluation_results": [
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diff --git a/data/hfopenllm_v2/T145/ZEUS-8B-V2L1/18097bf4-5149-40e9-9850-558c3f143ed8.json b/data/hfopenllm_v2/T145/ZEUS-8B-V2L1/18097bf4-5149-40e9-9850-558c3f143ed8.json
new file mode 100644
index 000000000..e6c750d51
--- /dev/null
+++ b/data/hfopenllm_v2/T145/ZEUS-8B-V2L1/18097bf4-5149-40e9-9850-558c3f143ed8.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/T145_ZEUS-8B-V2L1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "ZEUS-8B-V2L1",
+    "id": "T145/ZEUS-8B-V2L1",
+    "developer": "T145",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
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+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
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+        "score_type": "continuous",
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+        "max_score": 1.0
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+        "score": 0.3192
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+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
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+        "score_type": "continuous",
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+      "score_details": {
+        "score": 0.5013
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+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1239
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3129
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3882
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3638
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/T145/ZEUS-8B-V2L2/8e7be46e-af57-4e88-9df5-3161110dfa66.json b/data/hfopenllm_v2/T145/ZEUS-8B-V2L2/8e7be46e-af57-4e88-9df5-3161110dfa66.json
deleted file mode 100644
index 866cf80e8..000000000
--- a/data/hfopenllm_v2/T145/ZEUS-8B-V2L2/8e7be46e-af57-4e88-9df5-3161110dfa66.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/T145_ZEUS-8B-V2L2/1762652579.9065118",
-  "retrieved_timestamp": "1762652579.906513",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "T145/ZEUS-8B-V2L2",
-    "developer": "T145",
-    "inference_platform": "unknown",
-    "id": "T145/ZEUS-8B-V2L2",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.8020640788662969
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5202843665402132
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-      },
-      "score_details": {
-        "score": 0.20166163141993956
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.29949664429530204
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.39746875000000004
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.38838098404255317
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/T145/ZEUS-8B-V2L2/b5942721-5c30-4c49-a6e1-fb5419539652.json b/data/hfopenllm_v2/T145/ZEUS-8B-V2L2/b5942721-5c30-4c49-a6e1-fb5419539652.json
new file mode 100644
index 000000000..d9184ab9f
--- /dev/null
+++ b/data/hfopenllm_v2/T145/ZEUS-8B-V2L2/b5942721-5c30-4c49-a6e1-fb5419539652.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/T145_ZEUS-8B-V2L2/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "ZEUS-8B-V2L2",
+    "id": "T145/ZEUS-8B-V2L2",
+    "developer": "T145",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.8021
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5203
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2017
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2995
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3975
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3884
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/T145/ZEUS-8B-V3/6b8fca40-f44b-45a0-bd5b-04b2fa2067a2.json b/data/hfopenllm_v2/T145/ZEUS-8B-V3/6b8fca40-f44b-45a0-bd5b-04b2fa2067a2.json
deleted file mode 100644
index 38af1697f..000000000
--- a/data/hfopenllm_v2/T145/ZEUS-8B-V3/6b8fca40-f44b-45a0-bd5b-04b2fa2067a2.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/T145_ZEUS-8B-V3/1762652579.906709",
-  "retrieved_timestamp": "1762652579.90671",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "T145/ZEUS-8B-V3",
-    "developer": "T145",
-    "inference_platform": "unknown",
-    "id": "T145/ZEUS-8B-V3",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7886751596874072
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5265064133535374
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.16767371601208458
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3221476510067114
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4016875
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.38040226063829785
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/T145/ZEUS-8B-V3/76d27de3-0309-4e4b-8d0d-0e402bde0a31.json b/data/hfopenllm_v2/T145/ZEUS-8B-V3/76d27de3-0309-4e4b-8d0d-0e402bde0a31.json
new file mode 100644
index 000000000..5781ec510
--- /dev/null
+++ b/data/hfopenllm_v2/T145/ZEUS-8B-V3/76d27de3-0309-4e4b-8d0d-0e402bde0a31.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/T145_ZEUS-8B-V3/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "ZEUS-8B-V3",
+    "id": "T145/ZEUS-8B-V3",
+    "developer": "T145",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7887
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5265
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1677
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3221
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4017
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3804
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/T145/ZEUS-8B-V30/5c0553ff-4910-45a9-aa8d-3a76af098403.json b/data/hfopenllm_v2/T145/ZEUS-8B-V30/5c0553ff-4910-45a9-aa8d-3a76af098403.json
new file mode 100644
index 000000000..cf4cd7678
--- /dev/null
+++ b/data/hfopenllm_v2/T145/ZEUS-8B-V30/5c0553ff-4910-45a9-aa8d-3a76af098403.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/T145_ZEUS-8B-V30/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "ZEUS-8B-V30",
+    "id": "T145/ZEUS-8B-V30",
+    "developer": "T145",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7436
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5243
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1586
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3205
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4029
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3944
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/T145/ZEUS-8B-V30/839ff423-8c5c-4fab-aecf-b535ee06af36.json b/data/hfopenllm_v2/T145/ZEUS-8B-V30/839ff423-8c5c-4fab-aecf-b535ee06af36.json
deleted file mode 100644
index 65ebdaf89..000000000
--- a/data/hfopenllm_v2/T145/ZEUS-8B-V30/839ff423-8c5c-4fab-aecf-b535ee06af36.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/T145_ZEUS-8B-V30/1762652579.907134",
-  "retrieved_timestamp": "1762652579.907138",
-  "source_data": [
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-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "T145/ZEUS-8B-V30",
-    "developer": "T145",
-    "inference_platform": "unknown",
-    "id": "T145/ZEUS-8B-V30",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-      },
-      "score_details": {
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-    {
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-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-    {
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-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
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-        "max_score": 1
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-      "score_details": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
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-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3943650265957447
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/T145/ZEUS-8B-V4/9330c290-ee47-4a7d-9b8f-62903402e0e3.json b/data/hfopenllm_v2/T145/ZEUS-8B-V4/9330c290-ee47-4a7d-9b8f-62903402e0e3.json
deleted file mode 100644
index 9694845b9..000000000
--- a/data/hfopenllm_v2/T145/ZEUS-8B-V4/9330c290-ee47-4a7d-9b8f-62903402e0e3.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/T145_ZEUS-8B-V4/1762652579.9075332",
-  "retrieved_timestamp": "1762652579.907535",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "T145/ZEUS-8B-V4",
-    "developer": "T145",
-    "inference_platform": "unknown",
-    "id": "T145/ZEUS-8B-V4",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
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-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-    {
-      "evaluation_name": "BBH",
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-    {
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-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4028958333333333
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37882313829787234
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/T145/ZEUS-8B-V4/fd97d1d9-a1b5-429d-b73d-1ea92ae1d61c.json b/data/hfopenllm_v2/T145/ZEUS-8B-V4/fd97d1d9-a1b5-429d-b73d-1ea92ae1d61c.json
new file mode 100644
index 000000000..b4583aa87
--- /dev/null
+++ b/data/hfopenllm_v2/T145/ZEUS-8B-V4/fd97d1d9-a1b5-429d-b73d-1ea92ae1d61c.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/T145_ZEUS-8B-V4/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "ZEUS-8B-V4",
+    "id": "T145/ZEUS-8B-V4",
+    "developer": "T145",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7807
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5246
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1926
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.307
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4029
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3788
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/T145/ZEUS-8B-V6/09670c05-9463-479f-89e3-5029fd5d7ee7.json b/data/hfopenllm_v2/T145/ZEUS-8B-V6/09670c05-9463-479f-89e3-5029fd5d7ee7.json
deleted file mode 100644
index 0767225a2..000000000
--- a/data/hfopenllm_v2/T145/ZEUS-8B-V6/09670c05-9463-479f-89e3-5029fd5d7ee7.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/T145_ZEUS-8B-V6/1762652579.9077919",
-  "retrieved_timestamp": "1762652579.9077928",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "T145/ZEUS-8B-V6",
-    "developer": "T145",
-    "inference_platform": "unknown",
-    "id": "T145/ZEUS-8B-V6",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7837792612490415
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5239561762634447
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.20241691842900303
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30453020134228187
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4068020833333333
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37591422872340424
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/T145/ZEUS-8B-V6/f77aa103-5a09-409c-ad72-7992b6049f94.json b/data/hfopenllm_v2/T145/ZEUS-8B-V6/f77aa103-5a09-409c-ad72-7992b6049f94.json
new file mode 100644
index 000000000..0d6b104c5
--- /dev/null
+++ b/data/hfopenllm_v2/T145/ZEUS-8B-V6/f77aa103-5a09-409c-ad72-7992b6049f94.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/T145_ZEUS-8B-V6/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "ZEUS-8B-V6",
+    "id": "T145/ZEUS-8B-V6",
+    "developer": "T145",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7838
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.524
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2024
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3045
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4068
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3759
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/T145/ZEUS-8B-V7/0afdaa1d-c1e7-4283-a2b3-f459c09df4a9.json b/data/hfopenllm_v2/T145/ZEUS-8B-V7/0afdaa1d-c1e7-4283-a2b3-f459c09df4a9.json
new file mode 100644
index 000000000..4c23b2855
--- /dev/null
+++ b/data/hfopenllm_v2/T145/ZEUS-8B-V7/0afdaa1d-c1e7-4283-a2b3-f459c09df4a9.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/T145_ZEUS-8B-V7/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "ZEUS-8B-V7",
+    "id": "T145/ZEUS-8B-V7",
+    "developer": "T145",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7786
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.507
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.148
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.297
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4162
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3812
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/T145/ZEUS-8B-V7/c6a9173a-bacc-40bd-9572-239f9901e065.json b/data/hfopenllm_v2/T145/ZEUS-8B-V7/c6a9173a-bacc-40bd-9572-239f9901e065.json
deleted file mode 100644
index 5ccdfac25..000000000
--- a/data/hfopenllm_v2/T145/ZEUS-8B-V7/c6a9173a-bacc-40bd-9572-239f9901e065.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/T145_ZEUS-8B-V7/1762652579.908076",
-  "retrieved_timestamp": "1762652579.908077",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "T145/ZEUS-8B-V7",
-    "developer": "T145",
-    "inference_platform": "unknown",
-    "id": "T145/ZEUS-8B-V7",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7786085364610345
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5070394117180643
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.14803625377643503
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.29697986577181207
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41616666666666663
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3812333776595745
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/T145/ZEUS-8B-V8/044ed79b-0c54-4a7a-94ba-a3f999adeb0d.json b/data/hfopenllm_v2/T145/ZEUS-8B-V8/044ed79b-0c54-4a7a-94ba-a3f999adeb0d.json
new file mode 100644
index 000000000..dac50a4bc
--- /dev/null
+++ b/data/hfopenllm_v2/T145/ZEUS-8B-V8/044ed79b-0c54-4a7a-94ba-a3f999adeb0d.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/T145_ZEUS-8B-V8/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "ZEUS-8B-V8",
+    "id": "T145/ZEUS-8B-V8",
+    "developer": "T145",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7914
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5065
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1329
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2878
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4214
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3761
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/T145/ZEUS-8B-V8/c0035841-a312-493e-9c44-a75133e894d1.json b/data/hfopenllm_v2/T145/ZEUS-8B-V8/c0035841-a312-493e-9c44-a75133e894d1.json
deleted file mode 100644
index 377ff03f1..000000000
--- a/data/hfopenllm_v2/T145/ZEUS-8B-V8/c0035841-a312-493e-9c44-a75133e894d1.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/T145_ZEUS-8B-V8/1762652579.908298",
-  "retrieved_timestamp": "1762652579.908299",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "T145/ZEUS-8B-V8",
-    "developer": "T145",
-    "inference_platform": "unknown",
-    "id": "T145/ZEUS-8B-V8",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7913979352562313
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5064510419864701
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.13293051359516617
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.287751677852349
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.421375
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37608045212765956
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/T145/ZEUS-8B-V9/ac6b884d-62ea-4ff5-8eee-cfce08869030.json b/data/hfopenllm_v2/T145/ZEUS-8B-V9/ac6b884d-62ea-4ff5-8eee-cfce08869030.json
new file mode 100644
index 000000000..73c3bb0b4
--- /dev/null
+++ b/data/hfopenllm_v2/T145/ZEUS-8B-V9/ac6b884d-62ea-4ff5-8eee-cfce08869030.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/T145_ZEUS-8B-V9/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "ZEUS-8B-V9",
+    "id": "T145/ZEUS-8B-V9",
+    "developer": "T145",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5551
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5207
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2137
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2911
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3949
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3901
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/T145/ZEUS-8B-V9/f5876dc1-b769-431f-84fe-365d2457902e.json b/data/hfopenllm_v2/T145/ZEUS-8B-V9/f5876dc1-b769-431f-84fe-365d2457902e.json
deleted file mode 100644
index 041a23980..000000000
--- a/data/hfopenllm_v2/T145/ZEUS-8B-V9/f5876dc1-b769-431f-84fe-365d2457902e.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/T145_ZEUS-8B-V9/1762652579.908509",
-  "retrieved_timestamp": "1762652579.90851",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "T145/ZEUS-8B-V9",
-    "developer": "T145",
-    "inference_platform": "unknown",
-    "id": "T145/ZEUS-8B-V9",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5551436854213487
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5207256346477752
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.21374622356495468
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2911073825503356
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3949270833333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.39012632978723405
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/T145/qwen-2.5-3B-merge-test/8ffa696e-adef-4808-ba0e-bb04921a433d.json b/data/hfopenllm_v2/T145/qwen-2.5-3B-merge-test/8ffa696e-adef-4808-ba0e-bb04921a433d.json
new file mode 100644
index 000000000..2f5ff3f18
--- /dev/null
+++ b/data/hfopenllm_v2/T145/qwen-2.5-3B-merge-test/8ffa696e-adef-4808-ba0e-bb04921a433d.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/T145_qwen-2.5-3B-merge-test/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "qwen-2.5-3B-merge-test",
+    "id": "T145/qwen-2.5-3B-merge-test",
+    "developer": "T145",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 3.397
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5751
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4842
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3202
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2852
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4007
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.329
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/THUDM/glm-4-9b-chat-1m-hf/077f7956-8c9b-47ef-8c4d-40455bbb0027.json b/data/hfopenllm_v2/THUDM/glm-4-9b-chat-1m-hf/077f7956-8c9b-47ef-8c4d-40455bbb0027.json
deleted file mode 100644
index e3f1ac599..000000000
--- a/data/hfopenllm_v2/THUDM/glm-4-9b-chat-1m-hf/077f7956-8c9b-47ef-8c4d-40455bbb0027.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/THUDM_glm-4-9b-chat-1m-hf/1762652579.9096901",
-  "retrieved_timestamp": "1762652579.9096909",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "THUDM/glm-4-9b-chat-1m-hf",
-    "developer": "THUDM",
-    "inference_platform": "unknown",
-    "id": "THUDM/glm-4-9b-chat-1m-hf",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "GlmForCausalLM",
-      "params_billions": 9.484
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5341106043076814
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3900953106836365
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.04833836858006042
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.29194630872483224
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.36888541666666663
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.18143284574468085
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/THUDM/glm-4-9b-chat-1m-hf/8a2cfa62-5f13-447e-8d0f-2503e4962ac5.json b/data/hfopenllm_v2/THUDM/glm-4-9b-chat-1m-hf/8a2cfa62-5f13-447e-8d0f-2503e4962ac5.json
new file mode 100644
index 000000000..2a4ac4794
--- /dev/null
+++ b/data/hfopenllm_v2/THUDM/glm-4-9b-chat-1m-hf/8a2cfa62-5f13-447e-8d0f-2503e4962ac5.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/THUDM_glm-4-9b-chat-1m-hf/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "glm-4-9b-chat-1m-hf",
+    "id": "THUDM/glm-4-9b-chat-1m-hf",
+    "developer": "THUDM",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "GlmForCausalLM",
+      "params_billions": 9.484
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5341
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3901
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0483
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2919
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3689
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1814
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/THUDM/glm-4-9b-chat-1m/4f24fc46-3686-41fa-bf25-a0e39b252cc9.json b/data/hfopenllm_v2/THUDM/glm-4-9b-chat-1m/4f24fc46-3686-41fa-bf25-a0e39b252cc9.json
new file mode 100644
index 000000000..cbe32d26e
--- /dev/null
+++ b/data/hfopenllm_v2/THUDM/glm-4-9b-chat-1m/4f24fc46-3686-41fa-bf25-a0e39b252cc9.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/THUDM_glm-4-9b-chat-1m/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "glm-4-9b-chat-1m",
+    "id": "THUDM/glm-4-9b-chat-1m",
+    "developer": "THUDM",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "ChatGLMModel",
+      "params_billions": 9.484
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.418
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3037
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3795
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3163
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/THUDM/glm-4-9b-chat-1m/f0c306f0-683e-4582-81b7-f0a2c372060f.json b/data/hfopenllm_v2/THUDM/glm-4-9b-chat-1m/f0c306f0-683e-4582-81b7-f0a2c372060f.json
deleted file mode 100644
index eeaef7c4c..000000000
--- a/data/hfopenllm_v2/THUDM/glm-4-9b-chat-1m/f0c306f0-683e-4582-81b7-f0a2c372060f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/THUDM_glm-4-9b-chat-1m/1762652579.909478",
-  "retrieved_timestamp": "1762652579.909479",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "THUDM/glm-4-9b-chat-1m",
-    "developer": "THUDM",
-    "inference_platform": "unknown",
-    "id": "THUDM/glm-4-9b-chat-1m",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "ChatGLMModel",
-      "params_billions": 9.484
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.0
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41800578218330303
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
-        "score": 0.3036912751677852
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-      "score_details": {
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-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
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-        "min_score": 0,
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-      "score_details": {
-        "score": 0.31632313829787234
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-}
diff --git a/data/hfopenllm_v2/THUDM/glm-4-9b-chat-hf/0af9353e-10d5-42e3-8bc9-4c736720ff30.json b/data/hfopenllm_v2/THUDM/glm-4-9b-chat-hf/0af9353e-10d5-42e3-8bc9-4c736720ff30.json
deleted file mode 100644
index c8f948390..000000000
--- a/data/hfopenllm_v2/THUDM/glm-4-9b-chat-hf/0af9353e-10d5-42e3-8bc9-4c736720ff30.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/THUDM_glm-4-9b-chat-hf/1762652579.909895",
-  "retrieved_timestamp": "1762652579.909896",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "THUDM/glm-4-9b-chat-hf",
-    "developer": "THUDM",
-    "inference_platform": "unknown",
-    "id": "THUDM/glm-4-9b-chat-hf",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "GlmForCausalLM",
-      "params_billions": 9.4
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6513140688927601
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4432308604245425
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.08459214501510574
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3028523489932886
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.35930208333333336
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.27742686170212766
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/THUDM/glm-4-9b-chat-hf/b1375cb4-b0d5-4cb4-ad43-394ebd1a481f.json b/data/hfopenllm_v2/THUDM/glm-4-9b-chat-hf/b1375cb4-b0d5-4cb4-ad43-394ebd1a481f.json
new file mode 100644
index 000000000..f54072bac
--- /dev/null
+++ b/data/hfopenllm_v2/THUDM/glm-4-9b-chat-hf/b1375cb4-b0d5-4cb4-ad43-394ebd1a481f.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/THUDM_glm-4-9b-chat-hf/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "glm-4-9b-chat-hf",
+    "id": "THUDM/glm-4-9b-chat-hf",
+    "developer": "THUDM",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "GlmForCausalLM",
+      "params_billions": 9.4
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6513
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4432
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0846
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3029
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3593
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2774
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/THUDM/glm-4-9b-chat/4ce062da-acfc-4684-95c2-679cbe5a697b.json b/data/hfopenllm_v2/THUDM/glm-4-9b-chat/4ce062da-acfc-4684-95c2-679cbe5a697b.json
new file mode 100644
index 000000000..01dceb960
--- /dev/null
+++ b/data/hfopenllm_v2/THUDM/glm-4-9b-chat/4ce062da-acfc-4684-95c2-679cbe5a697b.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/THUDM_glm-4-9b-chat/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "glm-4-9b-chat",
+    "id": "THUDM/glm-4-9b-chat",
+    "developer": "THUDM",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "ChatGLMModelM",
+      "params_billions": 9.0
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4736
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3138
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3994
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3167
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/THUDM/glm-4-9b-chat/e7c5d8ef-d480-4ab9-b698-409e5ea76cf8.json b/data/hfopenllm_v2/THUDM/glm-4-9b-chat/e7c5d8ef-d480-4ab9-b698-409e5ea76cf8.json
deleted file mode 100644
index 4866525c0..000000000
--- a/data/hfopenllm_v2/THUDM/glm-4-9b-chat/e7c5d8ef-d480-4ab9-b698-409e5ea76cf8.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/THUDM_glm-4-9b-chat/1762652579.909267",
-  "retrieved_timestamp": "1762652579.909267",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "THUDM/glm-4-9b-chat",
-    "developer": "THUDM",
-    "inference_platform": "unknown",
-    "id": "THUDM/glm-4-9b-chat",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "ChatGLMModelM",
-      "params_billions": 9.0
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.0
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.47363884291035735
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.0
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.313758389261745
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3994270833333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.316655585106383
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/THUDM/glm-4-9b/3d785765-befa-4e53-8672-769f7bb87dcd.json b/data/hfopenllm_v2/THUDM/glm-4-9b/3d785765-befa-4e53-8672-769f7bb87dcd.json
new file mode 100644
index 000000000..f7c95a078
--- /dev/null
+++ b/data/hfopenllm_v2/THUDM/glm-4-9b/3d785765-befa-4e53-8672-769f7bb87dcd.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/THUDM_glm-4-9b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "glm-4-9b",
+    "id": "THUDM/glm-4-9b",
+    "developer": "THUDM",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "ChatGLMModelM",
+      "params_billions": 9.0
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1426
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5528
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3163
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4386
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4145
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/THUDM/glm-4-9b/bd038a6c-1241-401d-962d-e033434ba735.json b/data/hfopenllm_v2/THUDM/glm-4-9b/bd038a6c-1241-401d-962d-e033434ba735.json
deleted file mode 100644
index 10ff460f0..000000000
--- a/data/hfopenllm_v2/THUDM/glm-4-9b/bd038a6c-1241-401d-962d-e033434ba735.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/THUDM_glm-4-9b/1762652579.9090161",
-  "retrieved_timestamp": "1762652579.9090161",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "THUDM/glm-4-9b",
-    "developer": "THUDM",
-    "inference_platform": "unknown",
-    "id": "THUDM/glm-4-9b",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "ChatGLMModelM",
-      "params_billions": 9.0
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1426082793654171
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5528368141665274
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.0
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3162751677852349
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4385833333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4144780585106383
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/TIGER-Lab/AceCodeRM-7B/ab0d3a24-19db-4d00-892e-bcb7c0f2f30f.json b/data/hfopenllm_v2/TIGER-Lab/AceCodeRM-7B/ab0d3a24-19db-4d00-892e-bcb7c0f2f30f.json
new file mode 100644
index 000000000..a74035d6b
--- /dev/null
+++ b/data/hfopenllm_v2/TIGER-Lab/AceCodeRM-7B/ab0d3a24-19db-4d00-892e-bcb7c0f2f30f.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/TIGER-Lab_AceCodeRM-7B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "AceCodeRM-7B",
+    "id": "TIGER-Lab/AceCodeRM-7B",
+    "developer": "TIGER-Lab",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalRM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5855
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4773
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3467
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3045
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4192
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3361
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/TIGER-Lab/AceCodeRM-7B/eb1d6ce5-3b0c-477d-9ca6-2f3ff8bc4e30.json b/data/hfopenllm_v2/TIGER-Lab/AceCodeRM-7B/eb1d6ce5-3b0c-477d-9ca6-2f3ff8bc4e30.json
deleted file mode 100644
index 6ff2b07a1..000000000
--- a/data/hfopenllm_v2/TIGER-Lab/AceCodeRM-7B/eb1d6ce5-3b0c-477d-9ca6-2f3ff8bc4e30.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/TIGER-Lab_AceCodeRM-7B/1762652579.9101062",
-  "retrieved_timestamp": "1762652579.910107",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "TIGER-Lab/AceCodeRM-7B",
-    "developer": "TIGER-Lab",
-    "inference_platform": "unknown",
-    "id": "TIGER-Lab/AceCodeRM-7B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalRM",
-      "params_billions": 7.616
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5854931581536988
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4773230085351336
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3466767371601209
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30453020134228187
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41920833333333335
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3361037234042553
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/TIGER-Lab/AceCoder-Qwen2.5-7B-Ins-Rule/31f0b186-1805-42ff-86cf-d8455a66d538.json b/data/hfopenllm_v2/TIGER-Lab/AceCoder-Qwen2.5-7B-Ins-Rule/31f0b186-1805-42ff-86cf-d8455a66d538.json
new file mode 100644
index 000000000..0ea92826f
--- /dev/null
+++ b/data/hfopenllm_v2/TIGER-Lab/AceCoder-Qwen2.5-7B-Ins-Rule/31f0b186-1805-42ff-86cf-d8455a66d538.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/TIGER-Lab_AceCoder-Qwen2.5-7B-Ins-Rule/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "AceCoder-Qwen2.5-7B-Ins-Rule",
+    "id": "TIGER-Lab/AceCoder-Qwen2.5-7B-Ins-Rule",
+    "developer": "TIGER-Lab",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7424
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5404
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4992
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3012
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.398
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4322
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/TIGER-Lab/AceCoder-Qwen2.5-Coder-7B-Base-Rule/ed6b3e7e-d294-420d-b9b9-460a52cd0239.json b/data/hfopenllm_v2/TIGER-Lab/AceCoder-Qwen2.5-Coder-7B-Base-Rule/ed6b3e7e-d294-420d-b9b9-460a52cd0239.json
new file mode 100644
index 000000000..60cf1a5b7
--- /dev/null
+++ b/data/hfopenllm_v2/TIGER-Lab/AceCoder-Qwen2.5-Coder-7B-Base-Rule/ed6b3e7e-d294-420d-b9b9-460a52cd0239.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/TIGER-Lab_AceCoder-Qwen2.5-Coder-7B-Base-Rule/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "AceCoder-Qwen2.5-Coder-7B-Base-Rule",
+    "id": "TIGER-Lab/AceCoder-Qwen2.5-Coder-7B-Base-Rule",
+    "developer": "TIGER-Lab",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4408
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4902
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2017
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2718
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3449
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
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+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/TIGER-Lab/AceCoder-Qwen2.5-Coder-7B-Ins-Rule/91dec0c0-9854-4790-a0a5-e17d19636f17.json b/data/hfopenllm_v2/TIGER-Lab/AceCoder-Qwen2.5-Coder-7B-Ins-Rule/91dec0c0-9854-4790-a0a5-e17d19636f17.json
new file mode 100644
index 000000000..e2e2f2697
--- /dev/null
+++ b/data/hfopenllm_v2/TIGER-Lab/AceCoder-Qwen2.5-Coder-7B-Ins-Rule/91dec0c0-9854-4790-a0a5-e17d19636f17.json
@@ -0,0 +1,132 @@
+{
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+  "evaluation_id": "hfopenllm_v2/TIGER-Lab_AceCoder-Qwen2.5-Coder-7B-Ins-Rule/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "AceCoder-Qwen2.5-Coder-7B-Ins-Rule",
+    "id": "TIGER-Lab/AceCoder-Qwen2.5-Coder-7B-Ins-Rule",
+    "developer": "TIGER-Lab",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
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+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5089
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
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+      },
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+    {
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+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/TIGER-Lab/MAmmoTH2-7B-Plus/599616fb-26c1-47e3-a98b-9ad922a95c08.json b/data/hfopenllm_v2/TIGER-Lab/MAmmoTH2-7B-Plus/599616fb-26c1-47e3-a98b-9ad922a95c08.json
new file mode 100644
index 000000000..0a1e9887a
--- /dev/null
+++ b/data/hfopenllm_v2/TIGER-Lab/MAmmoTH2-7B-Plus/599616fb-26c1-47e3-a98b-9ad922a95c08.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/TIGER-Lab_MAmmoTH2-7B-Plus/1770682486.623709",
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+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "MAmmoTH2-7B-Plus",
+    "id": "TIGER-Lab/MAmmoTH2-7B-Plus",
+    "developer": "TIGER-Lab",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/TIGER-Lab/MAmmoTH2-7B-Plus/93503cc0-80aa-44b5-9155-c81cd44a9ac9.json b/data/hfopenllm_v2/TIGER-Lab/MAmmoTH2-7B-Plus/93503cc0-80aa-44b5-9155-c81cd44a9ac9.json
deleted file mode 100644
index b8fdebe05..000000000
--- a/data/hfopenllm_v2/TIGER-Lab/MAmmoTH2-7B-Plus/93503cc0-80aa-44b5-9155-c81cd44a9ac9.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
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-    "developer": "TIGER-Lab",
-    "inference_platform": "unknown",
-    "id": "TIGER-Lab/MAmmoTH2-7B-Plus",
-    "additional_details": {
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-    }
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diff --git a/data/hfopenllm_v2/TIGER-Lab/Qwen2.5-Math-7B-CFT/aeee4365-c34d-46b9-8c98-29976010bb62.json b/data/hfopenllm_v2/TIGER-Lab/Qwen2.5-Math-7B-CFT/aeee4365-c34d-46b9-8c98-29976010bb62.json
new file mode 100644
index 000000000..92ab6326a
--- /dev/null
+++ b/data/hfopenllm_v2/TIGER-Lab/Qwen2.5-Math-7B-CFT/aeee4365-c34d-46b9-8c98-29976010bb62.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/TIGER-Lab_Qwen2.5-Math-7B-CFT/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-Math-7B-CFT",
+    "id": "TIGER-Lab/Qwen2.5-Math-7B-CFT",
+    "developer": "TIGER-Lab",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
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+      },
+      "score_details": {
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+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4637
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
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+        "max_score": 1.0
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+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2861
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
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+      },
+      "score_details": {
+        "score": 0.3887
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+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2945
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/TTTXXX01/Mistral-7B-Base-SimPO2-5e-7/1ec68708-94c9-4561-bb99-7f211d7a9950.json b/data/hfopenllm_v2/TTTXXX01/Mistral-7B-Base-SimPO2-5e-7/1ec68708-94c9-4561-bb99-7f211d7a9950.json
new file mode 100644
index 000000000..f4ed2d887
--- /dev/null
+++ b/data/hfopenllm_v2/TTTXXX01/Mistral-7B-Base-SimPO2-5e-7/1ec68708-94c9-4561-bb99-7f211d7a9950.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/TTTXXX01_Mistral-7B-Base-SimPO2-5e-7/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Mistral-7B-Base-SimPO2-5e-7",
+    "id": "TTTXXX01/Mistral-7B-Base-SimPO2-5e-7",
+    "developer": "TTTXXX01",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
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+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
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+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4392
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.432
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+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
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+        "source_type": "hf_dataset",
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Tarek07/Progenitor-V1.1-LLaMa-70B/0b53e7b4-0e91-40a2-911b-cd0d415e9fad.json b/data/hfopenllm_v2/Tarek07/Progenitor-V1.1-LLaMa-70B/0b53e7b4-0e91-40a2-911b-cd0d415e9fad.json
new file mode 100644
index 000000000..80dd34f48
--- /dev/null
+++ b/data/hfopenllm_v2/Tarek07/Progenitor-V1.1-LLaMa-70B/0b53e7b4-0e91-40a2-911b-cd0d415e9fad.json
@@ -0,0 +1,132 @@
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+  "source_metadata": {
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+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
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+  "model_info": {
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+    "id": "Tarek07/Progenitor-V1.1-LLaMa-70B",
+    "developer": "Tarek07",
+    "inference_platform": "unknown",
+    "additional_details": {
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+      "architecture": "LlamaForCausalLM",
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+    }
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
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+      },
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+        "evaluation_description": "Exact Match on MATH Level 5",
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+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "max_score": 1.0
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/Tarek07/Thalassic-Alpha-LLaMa-70B/91bcd646-fe3d-458b-a426-a6a8863d69a0.json b/data/hfopenllm_v2/Tarek07/Thalassic-Alpha-LLaMa-70B/91bcd646-fe3d-458b-a426-a6a8863d69a0.json
new file mode 100644
index 000000000..f5ea7f4d8
--- /dev/null
+++ b/data/hfopenllm_v2/Tarek07/Thalassic-Alpha-LLaMa-70B/91bcd646-fe3d-458b-a426-a6a8863d69a0.json
@@ -0,0 +1,132 @@
+{
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+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
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+  },
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+    "id": "Tarek07/Thalassic-Alpha-LLaMa-70B",
+    "developer": "Tarek07",
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+      "architecture": "LlamaForCausalLM",
+      "params_billions": 70.554
+    }
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
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+      "metric_config": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
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+        "hf_repo": "TAUR-Lab/MuSR"
+      },
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+        "evaluation_description": "Accuracy on MUSR",
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/TeeZee/DoubleBagel-57B-v1.0/1315f2ad-2e39-4cab-b09a-c74d0779f895.json b/data/hfopenllm_v2/TeeZee/DoubleBagel-57B-v1.0/1315f2ad-2e39-4cab-b09a-c74d0779f895.json
deleted file mode 100644
index 9dec4e787..000000000
--- a/data/hfopenllm_v2/TeeZee/DoubleBagel-57B-v1.0/1315f2ad-2e39-4cab-b09a-c74d0779f895.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "model_info": {
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-    "id": "TeeZee/DoubleBagel-57B-v1.0",
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-    }
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-}
diff --git a/data/hfopenllm_v2/TeeZee/DoubleBagel-57B-v1.0/2e0458cc-e092-4770-bd80-00dff169d754.json b/data/hfopenllm_v2/TeeZee/DoubleBagel-57B-v1.0/2e0458cc-e092-4770-bd80-00dff169d754.json
new file mode 100644
index 000000000..b1e13e640
--- /dev/null
+++ b/data/hfopenllm_v2/TeeZee/DoubleBagel-57B-v1.0/2e0458cc-e092-4770-bd80-00dff169d754.json
@@ -0,0 +1,132 @@
+{
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+  "evaluation_id": "hfopenllm_v2/TeeZee_DoubleBagel-57B-v1.0/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
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+    "id": "TeeZee/DoubleBagel-57B-v1.0",
+    "developer": "TeeZee",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 56.703
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
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+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+      }
+    },
+    {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
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+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.276
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
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+      "score_details": {
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+    {
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+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
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+        "score_type": "continuous",
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+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1478
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Telugu-LLM-Labs/Indic-gemma-2b-finetuned-sft-Navarasa-2.0/d56ef415-0edf-4fde-8277-ae44b4bb4ed2.json b/data/hfopenllm_v2/Telugu-LLM-Labs/Indic-gemma-2b-finetuned-sft-Navarasa-2.0/d56ef415-0edf-4fde-8277-ae44b4bb4ed2.json
new file mode 100644
index 000000000..2039e5d97
--- /dev/null
+++ b/data/hfopenllm_v2/Telugu-LLM-Labs/Indic-gemma-2b-finetuned-sft-Navarasa-2.0/d56ef415-0edf-4fde-8277-ae44b4bb4ed2.json
@@ -0,0 +1,132 @@
+{
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+  "evaluation_id": "hfopenllm_v2/Telugu-LLM-Labs_Indic-gemma-2b-finetuned-sft-Navarasa-2.0/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Indic-gemma-2b-finetuned-sft-Navarasa-2.0",
+    "id": "Telugu-LLM-Labs/Indic-gemma-2b-finetuned-sft-Navarasa-2.0",
+    "developer": "Telugu-LLM-Labs",
+    "inference_platform": "unknown",
+    "additional_details": {
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+      "architecture": "GemmaForCausalLM",
+      "params_billions": 2.506
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+  },
+  "evaluation_results": [
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+        "source_type": "hf_dataset",
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+      },
+      "metric_config": {
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+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+      "score_details": {
+        "score": 0.3241
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+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2433
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3899
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1279
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Telugu-LLM-Labs/Indic-gemma-2b-finetuned-sft-Navarasa-2.0/ec8a8e25-f985-40a8-80ff-0c7d7595029d.json b/data/hfopenllm_v2/Telugu-LLM-Labs/Indic-gemma-2b-finetuned-sft-Navarasa-2.0/ec8a8e25-f985-40a8-80ff-0c7d7595029d.json
deleted file mode 100644
index 067ca004b..000000000
--- a/data/hfopenllm_v2/Telugu-LLM-Labs/Indic-gemma-2b-finetuned-sft-Navarasa-2.0/ec8a8e25-f985-40a8-80ff-0c7d7595029d.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Telugu-LLM-Labs_Indic-gemma-2b-finetuned-sft-Navarasa-2.0/1762652579.912417",
-  "retrieved_timestamp": "1762652579.912417",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Telugu-LLM-Labs/Indic-gemma-2b-finetuned-sft-Navarasa-2.0",
-    "developer": "Telugu-LLM-Labs",
-    "inference_platform": "unknown",
-    "id": "Telugu-LLM-Labs/Indic-gemma-2b-finetuned-sft-Navarasa-2.0",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "GemmaForCausalLM",
-      "params_billions": 2.506
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.21030310686755588
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3240881373468133
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.027190332326283987
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.24328859060402686
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3899375
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.12790890957446807
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Telugu-LLM-Labs/Indic-gemma-7b-finetuned-sft-Navarasa-2.0/89d117f3-7a67-4e30-82b2-b42efaf44024.json b/data/hfopenllm_v2/Telugu-LLM-Labs/Indic-gemma-7b-finetuned-sft-Navarasa-2.0/89d117f3-7a67-4e30-82b2-b42efaf44024.json
deleted file mode 100644
index 3b1ad6bf1..000000000
--- a/data/hfopenllm_v2/Telugu-LLM-Labs/Indic-gemma-7b-finetuned-sft-Navarasa-2.0/89d117f3-7a67-4e30-82b2-b42efaf44024.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Telugu-LLM-Labs_Indic-gemma-7b-finetuned-sft-Navarasa-2.0/1762652579.912673",
-  "retrieved_timestamp": "1762652579.912673",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Telugu-LLM-Labs/Indic-gemma-7b-finetuned-sft-Navarasa-2.0",
-    "developer": "Telugu-LLM-Labs",
-    "inference_platform": "unknown",
-    "id": "Telugu-LLM-Labs/Indic-gemma-7b-finetuned-sft-Navarasa-2.0",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "GemmaForCausalLM",
-      "params_billions": 8.538
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.32368449048524583
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.40229948924733394
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.0256797583081571
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2701342281879195
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.40832291666666665
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.23503989361702127
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Telugu-LLM-Labs/Indic-gemma-7b-finetuned-sft-Navarasa-2.0/a0a1beb8-ee9a-4e88-b939-6e0104ed76a7.json b/data/hfopenllm_v2/Telugu-LLM-Labs/Indic-gemma-7b-finetuned-sft-Navarasa-2.0/a0a1beb8-ee9a-4e88-b939-6e0104ed76a7.json
new file mode 100644
index 000000000..a9a9aa606
--- /dev/null
+++ b/data/hfopenllm_v2/Telugu-LLM-Labs/Indic-gemma-7b-finetuned-sft-Navarasa-2.0/a0a1beb8-ee9a-4e88-b939-6e0104ed76a7.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Telugu-LLM-Labs_Indic-gemma-7b-finetuned-sft-Navarasa-2.0/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Indic-gemma-7b-finetuned-sft-Navarasa-2.0",
+    "id": "Telugu-LLM-Labs/Indic-gemma-7b-finetuned-sft-Navarasa-2.0",
+    "developer": "Telugu-LLM-Labs",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "GemmaForCausalLM",
+      "params_billions": 8.538
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3237
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4023
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0257
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2701
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4083
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.235
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/TencentARC/LLaMA-Pro-8B-Instruct/98ea850e-7019-4728-a558-8b1819ec47c2.json b/data/hfopenllm_v2/TencentARC/LLaMA-Pro-8B-Instruct/98ea850e-7019-4728-a558-8b1819ec47c2.json
deleted file mode 100644
index 0cf475fc4..000000000
--- a/data/hfopenllm_v2/TencentARC/LLaMA-Pro-8B-Instruct/98ea850e-7019-4728-a558-8b1819ec47c2.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/TencentARC_LLaMA-Pro-8B-Instruct/1762652579.9131231",
-  "retrieved_timestamp": "1762652579.913124",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "TencentARC/LLaMA-Pro-8B-Instruct",
-    "developer": "TencentARC",
-    "inference_platform": "unknown",
-    "id": "TencentARC/LLaMA-Pro-8B-Instruct",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.357
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4486063644463357
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4224205282459997
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.024924471299093656
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.27432885906040266
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41902083333333334
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.19456449468085107
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/TencentARC/LLaMA-Pro-8B-Instruct/f9b7c3ee-ea8b-42f0-a55a-6171d4e3d0ea.json b/data/hfopenllm_v2/TencentARC/LLaMA-Pro-8B-Instruct/f9b7c3ee-ea8b-42f0-a55a-6171d4e3d0ea.json
new file mode 100644
index 000000000..2c3b0edf0
--- /dev/null
+++ b/data/hfopenllm_v2/TencentARC/LLaMA-Pro-8B-Instruct/f9b7c3ee-ea8b-42f0-a55a-6171d4e3d0ea.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/TencentARC_LLaMA-Pro-8B-Instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "LLaMA-Pro-8B-Instruct",
+    "id": "TencentARC/LLaMA-Pro-8B-Instruct",
+    "developer": "TencentARC",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.357
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4486
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4224
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0249
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2743
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/TencentARC/LLaMA-Pro-8B/2c8c6c6a-ce95-4d11-a33a-d547859fee11.json b/data/hfopenllm_v2/TencentARC/LLaMA-Pro-8B/2c8c6c6a-ce95-4d11-a33a-d547859fee11.json
new file mode 100644
index 000000000..5af85f4e1
--- /dev/null
+++ b/data/hfopenllm_v2/TencentARC/LLaMA-Pro-8B/2c8c6c6a-ce95-4d11-a33a-d547859fee11.json
@@ -0,0 +1,132 @@
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/TencentARC/MetaMath-Mistral-Pro/47858744-3378-4ed4-9101-8acbc3a53cda.json b/data/hfopenllm_v2/TencentARC/MetaMath-Mistral-Pro/47858744-3378-4ed4-9101-8acbc3a53cda.json
new file mode 100644
index 000000000..666b6ee5b
--- /dev/null
+++ b/data/hfopenllm_v2/TencentARC/MetaMath-Mistral-Pro/47858744-3378-4ed4-9101-8acbc3a53cda.json
@@ -0,0 +1,132 @@
+{
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+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
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+        "hf_repo": "TAUR-Lab/MuSR"
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+        "hf_repo": "TIGER-Lab/MMLU-Pro"
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+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/TencentARC/Mistral_Pro_8B_v0.1/2aaeaaa7-89ed-4666-b0a5-8c1320ec4ec5.json b/data/hfopenllm_v2/TencentARC/Mistral_Pro_8B_v0.1/2aaeaaa7-89ed-4666-b0a5-8c1320ec4ec5.json
new file mode 100644
index 000000000..4307e8288
--- /dev/null
+++ b/data/hfopenllm_v2/TencentARC/Mistral_Pro_8B_v0.1/2aaeaaa7-89ed-4666-b0a5-8c1320ec4ec5.json
@@ -0,0 +1,132 @@
+{
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+  "source_metadata": {
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+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
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+  },
+  "model_info": {
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+    "id": "TencentARC/Mistral_Pro_8B_v0.1",
+    "developer": "TencentARC",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 8.987
+    }
+  },
+  "evaluation_results": [
+    {
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+        "hf_repo": "google/IFEval"
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+    },
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
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+        "score_type": "continuous",
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+        "max_score": 1.0
+      },
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+    },
+    {
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+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
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+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/TheDrummer/Cydonia-22B-v1.2/23ae6a72-5a1f-4961-8662-feb4d8ad8a26.json b/data/hfopenllm_v2/TheDrummer/Cydonia-22B-v1.2/23ae6a72-5a1f-4961-8662-feb4d8ad8a26.json
new file mode 100644
index 000000000..66b44eb6d
--- /dev/null
+++ b/data/hfopenllm_v2/TheDrummer/Cydonia-22B-v1.2/23ae6a72-5a1f-4961-8662-feb4d8ad8a26.json
@@ -0,0 +1,132 @@
+{
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+  "source_metadata": {
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+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Cydonia-22B-v1.2",
+    "id": "TheDrummer/Cydonia-22B-v1.2",
+    "developer": "TheDrummer",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 22.247
+    }
+  },
+  "evaluation_results": [
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+        "max_score": 1.0
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5809
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
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+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
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+        "score_type": "continuous",
+        "min_score": 0.0,
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+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
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+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/TheDrummer/Cydonia-22B-v1.2/4a3e8df4-8e21-4c7c-aec8-afe353831c3d.json b/data/hfopenllm_v2/TheDrummer/Cydonia-22B-v1.2/4a3e8df4-8e21-4c7c-aec8-afe353831c3d.json
deleted file mode 100644
index c2cde1a09..000000000
--- a/data/hfopenllm_v2/TheDrummer/Cydonia-22B-v1.2/4a3e8df4-8e21-4c7c-aec8-afe353831c3d.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "source_data": [
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-  "source_metadata": {
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-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "TheDrummer/Cydonia-22B-v1.2",
-    "developer": "TheDrummer",
-    "inference_platform": "unknown",
-    "id": "TheDrummer/Cydonia-22B-v1.2",
-    "additional_details": {
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-      "architecture": "MistralForCausalLM",
-      "params_billions": 22.247
-    }
-  },
-  "evaluation_results": [
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-      }
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-    {
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-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
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diff --git a/data/hfopenllm_v2/TheDrummer/Gemmasutra-9B-v1/312ec315-6175-4f99-8741-97d97eb26b47.json b/data/hfopenllm_v2/TheDrummer/Gemmasutra-9B-v1/312ec315-6175-4f99-8741-97d97eb26b47.json
new file mode 100644
index 000000000..d22fd945e
--- /dev/null
+++ b/data/hfopenllm_v2/TheDrummer/Gemmasutra-9B-v1/312ec315-6175-4f99-8741-97d97eb26b47.json
@@ -0,0 +1,132 @@
+{
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/TheDrummer/Gemmasutra-Mini-2B-v1/7869bbe3-fd17-4e6d-9546-94d3df5e83ef.json b/data/hfopenllm_v2/TheDrummer/Gemmasutra-Mini-2B-v1/7869bbe3-fd17-4e6d-9546-94d3df5e83ef.json
new file mode 100644
index 000000000..ebce47bf5
--- /dev/null
+++ b/data/hfopenllm_v2/TheDrummer/Gemmasutra-Mini-2B-v1/7869bbe3-fd17-4e6d-9546-94d3df5e83ef.json
@@ -0,0 +1,132 @@
+{
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+  "source_metadata": {
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+    "source_type": "documentation",
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+    "evaluator_relationship": "third_party"
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+  "model_info": {
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+    "id": "TheDrummer/Gemmasutra-Mini-2B-v1",
+    "developer": "TheDrummer",
+    "inference_platform": "unknown",
+    "additional_details": {
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+      "architecture": "Gemma2ForCausalLM",
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+  },
+  "evaluation_results": [
+    {
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+        "score_type": "continuous",
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/TheDrummer/Llama-3SOME-8B-v2/68c9fb85-f90e-442f-aa96-458dabe30b39.json b/data/hfopenllm_v2/TheDrummer/Llama-3SOME-8B-v2/68c9fb85-f90e-442f-aa96-458dabe30b39.json
new file mode 100644
index 000000000..4ed973176
--- /dev/null
+++ b/data/hfopenllm_v2/TheDrummer/Llama-3SOME-8B-v2/68c9fb85-f90e-442f-aa96-458dabe30b39.json
@@ -0,0 +1,132 @@
+{
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+    "source_type": "documentation",
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+    "developer": "TheDrummer",
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+        "score_type": "continuous",
+        "min_score": 0.0,
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+    },
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+      "source_data": {
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+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
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+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/TheDrummer/Ministrations-8B-v1/21d5973e-d827-4bd6-b050-346da350a0aa.json b/data/hfopenllm_v2/TheDrummer/Ministrations-8B-v1/21d5973e-d827-4bd6-b050-346da350a0aa.json
deleted file mode 100644
index 732cbdcd5..000000000
--- a/data/hfopenllm_v2/TheDrummer/Ministrations-8B-v1/21d5973e-d827-4bd6-b050-346da350a0aa.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "source_data": [
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-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "TheDrummer/Ministrations-8B-v1",
-    "developer": "TheDrummer",
-    "inference_platform": "unknown",
-    "id": "TheDrummer/Ministrations-8B-v1",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
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-    }
-  },
-  "evaluation_results": [
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-    {
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-        "lower_is_better": false,
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-        "score_type": "continuous",
-        "min_score": 0,
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-      "score_details": {
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-    },
-    {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-}
diff --git a/data/hfopenllm_v2/TheDrummer/Ministrations-8B-v1/6891d1dd-0e1a-42e8-9206-64a4c71854f9.json b/data/hfopenllm_v2/TheDrummer/Ministrations-8B-v1/6891d1dd-0e1a-42e8-9206-64a4c71854f9.json
new file mode 100644
index 000000000..f103c0ed1
--- /dev/null
+++ b/data/hfopenllm_v2/TheDrummer/Ministrations-8B-v1/6891d1dd-0e1a-42e8-9206-64a4c71854f9.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/TheDrummer_Ministrations-8B-v1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Ministrations-8B-v1",
+    "id": "TheDrummer/Ministrations-8B-v1",
+    "developer": "TheDrummer",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 8.02
+    }
+  },
+  "evaluation_results": [
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
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+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
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+        "evaluation_description": "Accuracy on BBH",
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+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
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+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/TheDrummer/Rocinante-12B-v1/c62eb6b3-2a3d-45bd-acdf-bad717e51766.json b/data/hfopenllm_v2/TheDrummer/Rocinante-12B-v1/c62eb6b3-2a3d-45bd-acdf-bad717e51766.json
new file mode 100644
index 000000000..f5272f067
--- /dev/null
+++ b/data/hfopenllm_v2/TheDrummer/Rocinante-12B-v1/c62eb6b3-2a3d-45bd-acdf-bad717e51766.json
@@ -0,0 +1,132 @@
+{
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+    "evaluator_relationship": "third_party"
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+    "developer": "TheDrummer",
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+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
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+        "hf_repo": "Idavidrein/gpqa"
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+        "hf_repo": "TAUR-Lab/MuSR"
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+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
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+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/TheDrummer/Rocinante-12B-v1/f21e98c1-5535-4cb4-a9f0-541e49aff795.json b/data/hfopenllm_v2/TheDrummer/Rocinante-12B-v1/f21e98c1-5535-4cb4-a9f0-541e49aff795.json
deleted file mode 100644
index 453172fb4..000000000
--- a/data/hfopenllm_v2/TheDrummer/Rocinante-12B-v1/f21e98c1-5535-4cb4-a9f0-541e49aff795.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/TheDrummer/Tiger-Gemma-9B-v1/55d4a6ae-44e5-4a1b-9509-299fbc6c3a36.json b/data/hfopenllm_v2/TheDrummer/Tiger-Gemma-9B-v1/55d4a6ae-44e5-4a1b-9509-299fbc6c3a36.json
new file mode 100644
index 000000000..d5d96478e
--- /dev/null
+++ b/data/hfopenllm_v2/TheDrummer/Tiger-Gemma-9B-v1/55d4a6ae-44e5-4a1b-9509-299fbc6c3a36.json
@@ -0,0 +1,132 @@
+{
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+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
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+  "model_info": {
+    "name": "Tiger-Gemma-9B-v1",
+    "id": "TheDrummer/Tiger-Gemma-9B-v1",
+    "developer": "TheDrummer",
+    "inference_platform": "unknown",
+    "additional_details": {
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+      "params_billions": 9.242
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+      "source_data": {
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+        "source_type": "hf_dataset",
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+        "hf_repo": "SaylorTwift/bbh"
+      },
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+    },
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
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+        "min_score": 0.0,
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+      }
+    },
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
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+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
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+    },
+    {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
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+        "lower_is_better": false,
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+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/TheDrummer/Tiger-Gemma-9B-v2/227e3e19-29d6-414f-b538-9f6f89d47677.json b/data/hfopenllm_v2/TheDrummer/Tiger-Gemma-9B-v2/227e3e19-29d6-414f-b538-9f6f89d47677.json
new file mode 100644
index 000000000..8fccf8d00
--- /dev/null
+++ b/data/hfopenllm_v2/TheDrummer/Tiger-Gemma-9B-v2/227e3e19-29d6-414f-b538-9f6f89d47677.json
@@ -0,0 +1,132 @@
+{
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+  "evaluation_id": "hfopenllm_v2/TheDrummer_Tiger-Gemma-9B-v2/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
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+  "model_info": {
+    "name": "Tiger-Gemma-9B-v2",
+    "id": "TheDrummer/Tiger-Gemma-9B-v2",
+    "developer": "TheDrummer",
+    "inference_platform": "unknown",
+    "additional_details": {
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+      "architecture": "Gemma2ForCausalLM",
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
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+        "max_score": 1.0
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
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+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
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+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/TheDrummer/Tiger-Gemma-9B-v3/e922ac2c-e8d0-48f2-99fc-da70c925136c.json b/data/hfopenllm_v2/TheDrummer/Tiger-Gemma-9B-v3/e922ac2c-e8d0-48f2-99fc-da70c925136c.json
new file mode 100644
index 000000000..4a7777424
--- /dev/null
+++ b/data/hfopenllm_v2/TheDrummer/Tiger-Gemma-9B-v3/e922ac2c-e8d0-48f2-99fc-da70c925136c.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/TheDrummer_Tiger-Gemma-9B-v3/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
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+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
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+  "model_info": {
+    "name": "Tiger-Gemma-9B-v3",
+    "id": "TheDrummer/Tiger-Gemma-9B-v3",
+    "developer": "TheDrummer",
+    "inference_platform": "unknown",
+    "additional_details": {
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+      "architecture": "Gemma2ForCausalLM",
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+  "evaluation_results": [
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+        "source_type": "hf_dataset",
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+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+    },
+    {
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+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1624
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3389
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4004
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4059
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/TheDrunkenSnail/Daughter-of-Rhodia-12B/0f1c48a7-2a20-40c8-88e8-bdfdc3cdad40.json b/data/hfopenllm_v2/TheDrunkenSnail/Daughter-of-Rhodia-12B/0f1c48a7-2a20-40c8-88e8-bdfdc3cdad40.json
deleted file mode 100644
index 3839d3efc..000000000
--- a/data/hfopenllm_v2/TheDrunkenSnail/Daughter-of-Rhodia-12B/0f1c48a7-2a20-40c8-88e8-bdfdc3cdad40.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/TheDrunkenSnail_Daughter-of-Rhodia-12B/1762652579.91594",
-  "retrieved_timestamp": "1762652579.9159412",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "TheDrunkenSnail/Daughter-of-Rhodia-12B",
-    "developer": "TheDrunkenSnail",
-    "inference_platform": "unknown",
-    "id": "TheDrunkenSnail/Daughter-of-Rhodia-12B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 12.248
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6903815210308648
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5179174184876773
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.12235649546827794
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.31711409395973156
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.43477083333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3641123670212766
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/TheDrunkenSnail/Daughter-of-Rhodia-12B/59f93c1c-3712-4ee2-a3d2-999e5acc2ee5.json b/data/hfopenllm_v2/TheDrunkenSnail/Daughter-of-Rhodia-12B/59f93c1c-3712-4ee2-a3d2-999e5acc2ee5.json
new file mode 100644
index 000000000..c592a549e
--- /dev/null
+++ b/data/hfopenllm_v2/TheDrunkenSnail/Daughter-of-Rhodia-12B/59f93c1c-3712-4ee2-a3d2-999e5acc2ee5.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/TheDrunkenSnail_Daughter-of-Rhodia-12B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Daughter-of-Rhodia-12B",
+    "id": "TheDrunkenSnail/Daughter-of-Rhodia-12B",
+    "developer": "TheDrunkenSnail",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 12.248
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6904
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5179
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1224
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3171
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4348
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3641
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/TheDrunkenSnail/Mother-of-Rhodia-12B/2178eb24-2558-44db-aff1-7903c2e0f657.json b/data/hfopenllm_v2/TheDrunkenSnail/Mother-of-Rhodia-12B/2178eb24-2558-44db-aff1-7903c2e0f657.json
deleted file mode 100644
index 4023e628e..000000000
--- a/data/hfopenllm_v2/TheDrunkenSnail/Mother-of-Rhodia-12B/2178eb24-2558-44db-aff1-7903c2e0f657.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/TheDrunkenSnail_Mother-of-Rhodia-12B/1762652579.9161909",
-  "retrieved_timestamp": "1762652579.9161909",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "TheDrunkenSnail/Mother-of-Rhodia-12B",
-    "developer": "TheDrunkenSnail",
-    "inference_platform": "unknown",
-    "id": "TheDrunkenSnail/Mother-of-Rhodia-12B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 12.248
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6504895898438365
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.49479138664574934
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.12235649546827794
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2986577181208054
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41241666666666665
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.35513630319148937
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/TheDrunkenSnail/Mother-of-Rhodia-12B/a98dcf1e-6abb-402b-9e0c-da7c23b74bde.json b/data/hfopenllm_v2/TheDrunkenSnail/Mother-of-Rhodia-12B/a98dcf1e-6abb-402b-9e0c-da7c23b74bde.json
new file mode 100644
index 000000000..e5301b44e
--- /dev/null
+++ b/data/hfopenllm_v2/TheDrunkenSnail/Mother-of-Rhodia-12B/a98dcf1e-6abb-402b-9e0c-da7c23b74bde.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/TheDrunkenSnail_Mother-of-Rhodia-12B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Mother-of-Rhodia-12B",
+    "id": "TheDrunkenSnail/Mother-of-Rhodia-12B",
+    "developer": "TheDrunkenSnail",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 12.248
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6505
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4948
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1224
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2987
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4124
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3551
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/TheDrunkenSnail/Son-of-Rhodia/22c87268-7e49-42b4-9bbb-16a4b305c595.json b/data/hfopenllm_v2/TheDrunkenSnail/Son-of-Rhodia/22c87268-7e49-42b4-9bbb-16a4b305c595.json
deleted file mode 100644
index 41fc22c15..000000000
--- a/data/hfopenllm_v2/TheDrunkenSnail/Son-of-Rhodia/22c87268-7e49-42b4-9bbb-16a4b305c595.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/TheDrunkenSnail_Son-of-Rhodia/1762652579.916397",
-  "retrieved_timestamp": "1762652579.916397",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "TheDrunkenSnail/Son-of-Rhodia",
-    "developer": "TheDrunkenSnail",
-    "inference_platform": "unknown",
-    "id": "TheDrunkenSnail/Son-of-Rhodia",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 12.248
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7046447869430887
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5097327647725524
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.13141993957703926
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.31291946308724833
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4202916666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3607878989361702
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/TheDrunkenSnail/Son-of-Rhodia/a889f561-0d8a-4345-9131-0a897ec215ac.json b/data/hfopenllm_v2/TheDrunkenSnail/Son-of-Rhodia/a889f561-0d8a-4345-9131-0a897ec215ac.json
new file mode 100644
index 000000000..b5fd619fc
--- /dev/null
+++ b/data/hfopenllm_v2/TheDrunkenSnail/Son-of-Rhodia/a889f561-0d8a-4345-9131-0a897ec215ac.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/TheDrunkenSnail_Son-of-Rhodia/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Son-of-Rhodia",
+    "id": "TheDrunkenSnail/Son-of-Rhodia",
+    "developer": "TheDrunkenSnail",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 12.248
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7046
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5097
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1314
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3129
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4203
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3608
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/TheHierophant/Underground-Cognitive-V0.3-test/6402facc-6258-43a4-a0fd-78e21765c504.json b/data/hfopenllm_v2/TheHierophant/Underground-Cognitive-V0.3-test/6402facc-6258-43a4-a0fd-78e21765c504.json
new file mode 100644
index 000000000..53650d960
--- /dev/null
+++ b/data/hfopenllm_v2/TheHierophant/Underground-Cognitive-V0.3-test/6402facc-6258-43a4-a0fd-78e21765c504.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/TheHierophant_Underground-Cognitive-V0.3-test/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Underground-Cognitive-V0.3-test",
+    "id": "TheHierophant/Underground-Cognitive-V0.3-test",
+    "developer": "TheHierophant",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 10.732
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4808
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.529
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0589
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2987
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4351
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3318
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/TheHierophant/Underground-Cognitive-V0.3-test/872cc338-765c-4291-8b50-77b4bce719fd.json b/data/hfopenllm_v2/TheHierophant/Underground-Cognitive-V0.3-test/872cc338-765c-4291-8b50-77b4bce719fd.json
deleted file mode 100644
index 2f0f5f167..000000000
--- a/data/hfopenllm_v2/TheHierophant/Underground-Cognitive-V0.3-test/872cc338-765c-4291-8b50-77b4bce719fd.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/TheHierophant_Underground-Cognitive-V0.3-test/1762652579.916598",
-  "retrieved_timestamp": "1762652579.916598",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "TheHierophant/Underground-Cognitive-V0.3-test",
-    "developer": "TheHierophant",
-    "inference_platform": "unknown",
-    "id": "TheHierophant/Underground-Cognitive-V0.3-test",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 10.732
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4808297539417634
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5290131900998047
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.05891238670694864
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2986577181208054
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.43511458333333336
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.331781914893617
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/TheTsar1209/nemo-carpmuscle-v0.1/29fbd2e0-e08a-48f4-905e-d2aa54886915.json b/data/hfopenllm_v2/TheTsar1209/nemo-carpmuscle-v0.1/29fbd2e0-e08a-48f4-905e-d2aa54886915.json
new file mode 100644
index 000000000..2f11b0d16
--- /dev/null
+++ b/data/hfopenllm_v2/TheTsar1209/nemo-carpmuscle-v0.1/29fbd2e0-e08a-48f4-905e-d2aa54886915.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/TheTsar1209_nemo-carpmuscle-v0.1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "nemo-carpmuscle-v0.1",
+    "id": "TheTsar1209/nemo-carpmuscle-v0.1",
+    "developer": "TheTsar1209",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 12.248
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2276
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5084
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0476
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.297
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4135
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3406
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/TheTsar1209/nemo-carpmuscle-v0.1/8e834483-df6f-4d58-8257-f0cd1d8e3aa1.json b/data/hfopenllm_v2/TheTsar1209/nemo-carpmuscle-v0.1/8e834483-df6f-4d58-8257-f0cd1d8e3aa1.json
deleted file mode 100644
index df7d65e2d..000000000
--- a/data/hfopenllm_v2/TheTsar1209/nemo-carpmuscle-v0.1/8e834483-df6f-4d58-8257-f0cd1d8e3aa1.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/TheTsar1209_nemo-carpmuscle-v0.1/1762652579.9168499",
-  "retrieved_timestamp": "1762652579.916851",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "TheTsar1209/nemo-carpmuscle-v0.1",
-    "developer": "TheTsar1209",
-    "inference_platform": "unknown",
-    "id": "TheTsar1209/nemo-carpmuscle-v0.1",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 12.248
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2275639746982451
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5083529697101391
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.04758308157099698
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.29697986577181207
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4135
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
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new file mode 100644
index 000000000..cd556b29c
--- /dev/null
+++ b/data/hfopenllm_v2/TheTsar1209/qwen-carpmuscle-r-v0.3/313e0379-d3ea-4f5a-8e06-4b0a94317487.json
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/TheTsar1209/qwen-carpmuscle-v0.1/f326fbd0-5f92-4324-a587-1f08cf7da208.json b/data/hfopenllm_v2/TheTsar1209/qwen-carpmuscle-v0.1/f326fbd0-5f92-4324-a587-1f08cf7da208.json
new file mode 100644
index 000000000..ee6712ad0
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/TheTsar1209/qwen-carpmuscle-v0.2/d61310e9-5267-4a87-8e24-ae25172cd64e.json b/data/hfopenllm_v2/TheTsar1209/qwen-carpmuscle-v0.2/d61310e9-5267-4a87-8e24-ae25172cd64e.json
new file mode 100644
index 000000000..13326c754
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+++ b/data/hfopenllm_v2/TheTsar1209/qwen-carpmuscle-v0.2/d61310e9-5267-4a87-8e24-ae25172cd64e.json
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/TheTsar1209/qwen-carpmuscle-v0.3/60953e5e-523d-43c0-ad00-f746308030b1.json b/data/hfopenllm_v2/TheTsar1209/qwen-carpmuscle-v0.3/60953e5e-523d-43c0-ad00-f746308030b1.json
new file mode 100644
index 000000000..246e41951
--- /dev/null
+++ b/data/hfopenllm_v2/TheTsar1209/qwen-carpmuscle-v0.3/60953e5e-523d-43c0-ad00-f746308030b1.json
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/TheTsar1209/qwen-carpmuscle-v0.4.1/5afd8861-d7cb-45cd-af1b-6db966cb56e0.json b/data/hfopenllm_v2/TheTsar1209/qwen-carpmuscle-v0.4.1/5afd8861-d7cb-45cd-af1b-6db966cb56e0.json
new file mode 100644
index 000000000..255cd662b
--- /dev/null
+++ b/data/hfopenllm_v2/TheTsar1209/qwen-carpmuscle-v0.4.1/5afd8861-d7cb-45cd-af1b-6db966cb56e0.json
@@ -0,0 +1,132 @@
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+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3456
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4489
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5191
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/TheTsar1209/qwen-carpmuscle-v0.4/c3972df1-4414-4c71-b473-fb9459cf085b.json b/data/hfopenllm_v2/TheTsar1209/qwen-carpmuscle-v0.4/c3972df1-4414-4c71-b473-fb9459cf085b.json
new file mode 100644
index 000000000..9edb7f769
--- /dev/null
+++ b/data/hfopenllm_v2/TheTsar1209/qwen-carpmuscle-v0.4/c3972df1-4414-4c71-b473-fb9459cf085b.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/TheTsar1209_qwen-carpmuscle-v0.4/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "qwen-carpmuscle-v0.4",
+    "id": "TheTsar1209/qwen-carpmuscle-v0.4",
+    "developer": "TheTsar1209",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.77
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7202
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6454
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2772
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3523
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4516
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5144
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Tijmen2/cosmosage-v3/b89d54b7-2329-4608-b9f6-07017e63f1cd.json b/data/hfopenllm_v2/Tijmen2/cosmosage-v3/b89d54b7-2329-4608-b9f6-07017e63f1cd.json
new file mode 100644
index 000000000..39d760183
--- /dev/null
+++ b/data/hfopenllm_v2/Tijmen2/cosmosage-v3/b89d54b7-2329-4608-b9f6-07017e63f1cd.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Tijmen2_cosmosage-v3/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "cosmosage-v3",
+    "id": "Tijmen2/cosmosage-v3",
+    "developer": "Tijmen2",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4482
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4551
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0506
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2827
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4199
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2486
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Tijmen2/cosmosage-v3/f1eed2d5-89ca-4757-a5f9-9a90e811f075.json b/data/hfopenllm_v2/Tijmen2/cosmosage-v3/f1eed2d5-89ca-4757-a5f9-9a90e811f075.json
deleted file mode 100644
index 2951e232e..000000000
--- a/data/hfopenllm_v2/Tijmen2/cosmosage-v3/f1eed2d5-89ca-4757-a5f9-9a90e811f075.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Tijmen2_cosmosage-v3/1762652579.918411",
-  "retrieved_timestamp": "1762652579.918412",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Tijmen2/cosmosage-v3",
-    "developer": "Tijmen2",
-    "inference_platform": "unknown",
-    "id": "Tijmen2/cosmosage-v3",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.44823180272787316
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4550637900339029
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.05060422960725076
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2827181208053691
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4198854166666666
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.24858710106382978
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/TinyLlama/TinyLlama-1.1B-Chat-v0.1/50389350-af23-41ba-af46-5ffe338ff9d2.json b/data/hfopenllm_v2/TinyLlama/TinyLlama-1.1B-Chat-v0.1/50389350-af23-41ba-af46-5ffe338ff9d2.json
new file mode 100644
index 000000000..a2c39dd23
--- /dev/null
+++ b/data/hfopenllm_v2/TinyLlama/TinyLlama-1.1B-Chat-v0.1/50389350-af23-41ba-af46-5ffe338ff9d2.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/TinyLlama_TinyLlama-1.1B-Chat-v0.1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "TinyLlama-1.1B-Chat-v0.1",
+    "id": "TinyLlama/TinyLlama-1.1B-Chat-v0.1",
+    "developer": "TinyLlama",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 1.1
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1479
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3084
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.006
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.229
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3592
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1098
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/TinyLlama/TinyLlama-1.1B-Chat-v0.1/818cb0a4-7458-4cee-aca8-7cc72db341f8.json b/data/hfopenllm_v2/TinyLlama/TinyLlama-1.1B-Chat-v0.1/818cb0a4-7458-4cee-aca8-7cc72db341f8.json
deleted file mode 100644
index 0d7300f66..000000000
--- a/data/hfopenllm_v2/TinyLlama/TinyLlama-1.1B-Chat-v0.1/818cb0a4-7458-4cee-aca8-7cc72db341f8.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/TinyLlama_TinyLlama-1.1B-Chat-v0.1/1762652579.918663",
-  "retrieved_timestamp": "1762652579.918664",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "TinyLlama/TinyLlama-1.1B-Chat-v0.1",
-    "developer": "TinyLlama",
-    "inference_platform": "unknown",
-    "id": "TinyLlama/TinyLlama-1.1B-Chat-v0.1",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 1.1
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1478543597654224
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30835294748680114
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.006042296072507553
-      }
-    },
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-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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diff --git a/data/hfopenllm_v2/TinyLlama/TinyLlama-1.1B-Chat-v0.5/96454d40-4535-4439-87be-0ea7b55cd88a.json b/data/hfopenllm_v2/TinyLlama/TinyLlama-1.1B-Chat-v0.5/96454d40-4535-4439-87be-0ea7b55cd88a.json
deleted file mode 100644
index 76f801993..000000000
--- a/data/hfopenllm_v2/TinyLlama/TinyLlama-1.1B-Chat-v0.5/96454d40-4535-4439-87be-0ea7b55cd88a.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/TinyLlama_TinyLlama-1.1B-Chat-v0.5/1762652579.918914",
-  "retrieved_timestamp": "1762652579.918914",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "TinyLlama/TinyLlama-1.1B-Chat-v0.5",
-    "developer": "TinyLlama",
-    "inference_platform": "unknown",
-    "id": "TinyLlama/TinyLlama-1.1B-Chat-v0.5",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 1.1
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3105046915935697
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.0037764350453172208
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2483221476510067
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.36612500000000003
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.10962433510638298
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/TinyLlama/TinyLlama-1.1B-Chat-v0.5/b8f8f045-2306-43ad-8fa0-6a8bdb494db6.json b/data/hfopenllm_v2/TinyLlama/TinyLlama-1.1B-Chat-v0.5/b8f8f045-2306-43ad-8fa0-6a8bdb494db6.json
new file mode 100644
index 000000000..f0a1f9188
--- /dev/null
+++ b/data/hfopenllm_v2/TinyLlama/TinyLlama-1.1B-Chat-v0.5/b8f8f045-2306-43ad-8fa0-6a8bdb494db6.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/TinyLlama_TinyLlama-1.1B-Chat-v0.5/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "TinyLlama-1.1B-Chat-v0.5",
+    "id": "TinyLlama/TinyLlama-1.1B-Chat-v0.5",
+    "developer": "TinyLlama",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 1.1
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1634
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3105
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0038
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2483
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3661
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1096
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/TinyLlama/TinyLlama-1.1B-Chat-v0.6/7cd59011-75d7-4497-956c-322d5d609c5f.json b/data/hfopenllm_v2/TinyLlama/TinyLlama-1.1B-Chat-v0.6/7cd59011-75d7-4497-956c-322d5d609c5f.json
new file mode 100644
index 000000000..07b269a48
--- /dev/null
+++ b/data/hfopenllm_v2/TinyLlama/TinyLlama-1.1B-Chat-v0.6/7cd59011-75d7-4497-956c-322d5d609c5f.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/TinyLlama_TinyLlama-1.1B-Chat-v0.6/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "TinyLlama-1.1B-Chat-v0.6",
+    "id": "TinyLlama/TinyLlama-1.1B-Chat-v0.6",
+    "developer": "TinyLlama",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 1.1
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1574
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3067
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0159
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2584
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3422
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1149
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/TinyLlama/TinyLlama-1.1B-Chat-v0.6/be032e7e-39b5-4153-81b9-c29115b231b4.json b/data/hfopenllm_v2/TinyLlama/TinyLlama-1.1B-Chat-v0.6/be032e7e-39b5-4153-81b9-c29115b231b4.json
deleted file mode 100644
index ea3b18a09..000000000
--- a/data/hfopenllm_v2/TinyLlama/TinyLlama-1.1B-Chat-v0.6/be032e7e-39b5-4153-81b9-c29115b231b4.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/TinyLlama_TinyLlama-1.1B-Chat-v0.6/1762652579.919127",
-  "retrieved_timestamp": "1762652579.919127",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "TinyLlama/TinyLlama-1.1B-Chat-v0.6",
-    "developer": "TinyLlama",
-    "inference_platform": "unknown",
-    "id": "TinyLlama/TinyLlama-1.1B-Chat-v0.6",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 1.1
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.15742119797692344
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3066976656166826
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.015861027190332326
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.25838926174496646
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.34221875
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11486037234042554
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/TinyLlama/TinyLlama-1.1B-Chat-v1.0/0a24d7b1-44eb-4f5b-ae2f-ddee372facd5.json b/data/hfopenllm_v2/TinyLlama/TinyLlama-1.1B-Chat-v1.0/0a24d7b1-44eb-4f5b-ae2f-ddee372facd5.json
deleted file mode 100644
index e5b7f9e90..000000000
--- a/data/hfopenllm_v2/TinyLlama/TinyLlama-1.1B-Chat-v1.0/0a24d7b1-44eb-4f5b-ae2f-ddee372facd5.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/TinyLlama_TinyLlama-1.1B-Chat-v1.0/1762652579.9193401",
-  "retrieved_timestamp": "1762652579.919341",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "TinyLlama/TinyLlama-1.1B-Chat-v1.0",
-    "developer": "TinyLlama",
-    "inference_platform": "unknown",
-    "id": "TinyLlama/TinyLlama-1.1B-Chat-v1.0",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 1.1
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.0595763684800773
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3103562867491015
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.015105740181268883
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.25
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.35152083333333334
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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diff --git a/data/hfopenllm_v2/TinyLlama/TinyLlama-1.1B-Chat-v1.0/1313d865-9c5b-45d2-ad64-629c65f07f2c.json b/data/hfopenllm_v2/TinyLlama/TinyLlama-1.1B-Chat-v1.0/1313d865-9c5b-45d2-ad64-629c65f07f2c.json
new file mode 100644
index 000000000..03ae524fb
--- /dev/null
+++ b/data/hfopenllm_v2/TinyLlama/TinyLlama-1.1B-Chat-v1.0/1313d865-9c5b-45d2-ad64-629c65f07f2c.json
@@ -0,0 +1,132 @@
+{
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+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
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+    "source_type": "documentation",
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+  "model_info": {
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+    "id": "TinyLlama/TinyLlama-1.1B-Chat-v1.0",
+    "developer": "TinyLlama",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 1.1
+    }
+  },
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+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "max_score": 1.0
+      },
+      "score_details": {
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+    {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
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+      },
+      "metric_config": {
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+        "hf_repo": "TAUR-Lab/MuSR"
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+        "evaluation_description": "Accuracy on MUSR",
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+        "hf_repo": "TIGER-Lab/MMLU-Pro"
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+      "metric_config": {
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+        "lower_is_better": false,
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+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T/0efc2583-bf21-4b60-96cc-716928768eb1.json b/data/hfopenllm_v2/TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T/0efc2583-bf21-4b60-96cc-716928768eb1.json
new file mode 100644
index 000000000..36550ed25
--- /dev/null
+++ b/data/hfopenllm_v2/TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T/0efc2583-bf21-4b60-96cc-716928768eb1.json
@@ -0,0 +1,132 @@
+{
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+  "evaluation_id": "hfopenllm_v2/TinyLlama_TinyLlama-1.1B-intermediate-step-1431k-3T/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "TinyLlama-1.1B-intermediate-step-1431k-3T",
+    "id": "TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T",
+    "developer": "TinyLlama",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 1.1
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2277
+      }
+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
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+      },
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+    },
+    {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
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+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
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+        "lower_is_better": false,
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+    },
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+    },
+    {
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+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
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+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/TinyLlama/TinyLlama_v1.1/be0a2737-19a0-4401-998a-a03663467133.json b/data/hfopenllm_v2/TinyLlama/TinyLlama_v1.1/be0a2737-19a0-4401-998a-a03663467133.json
new file mode 100644
index 000000000..0ccc783b3
--- /dev/null
+++ b/data/hfopenllm_v2/TinyLlama/TinyLlama_v1.1/be0a2737-19a0-4401-998a-a03663467133.json
@@ -0,0 +1,132 @@
+{
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+  "evaluation_id": "hfopenllm_v2/TinyLlama_TinyLlama_v1.1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "TinyLlama_v1.1",
+    "id": "TinyLlama/TinyLlama_v1.1",
+    "developer": "TinyLlama",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 1.1
+    }
+  },
+  "evaluation_results": [
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
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+      },
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+        "lower_is_better": false,
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
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+        "hf_repo": "Idavidrein/gpqa"
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+      },
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+    {
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+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
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+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/ToastyPigeon/Sto-vo-kor-12B/1c795b39-a382-4315-8b6b-626423b9ccfe.json b/data/hfopenllm_v2/ToastyPigeon/Sto-vo-kor-12B/1c795b39-a382-4315-8b6b-626423b9ccfe.json
deleted file mode 100644
index 273614d76..000000000
--- a/data/hfopenllm_v2/ToastyPigeon/Sto-vo-kor-12B/1c795b39-a382-4315-8b6b-626423b9ccfe.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "ToastyPigeon/Sto-vo-kor-12B",
-    "developer": "ToastyPigeon",
-    "inference_platform": "unknown",
-    "id": "ToastyPigeon/Sto-vo-kor-12B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 12.248
-    }
-  },
-  "evaluation_results": [
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-      "evaluation_name": "IFEval",
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-        "min_score": 0,
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-    {
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-        "score_type": "continuous",
-        "min_score": 0,
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-  ]
-}
diff --git a/data/hfopenllm_v2/ToastyPigeon/Sto-vo-kor-12B/71720e07-2de0-4402-bdfd-102150c61765.json b/data/hfopenllm_v2/ToastyPigeon/Sto-vo-kor-12B/71720e07-2de0-4402-bdfd-102150c61765.json
new file mode 100644
index 000000000..65bce7ce5
--- /dev/null
+++ b/data/hfopenllm_v2/ToastyPigeon/Sto-vo-kor-12B/71720e07-2de0-4402-bdfd-102150c61765.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/ToastyPigeon_Sto-vo-kor-12B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Sto-vo-kor-12B",
+    "id": "ToastyPigeon/Sto-vo-kor-12B",
+    "developer": "ToastyPigeon",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 12.248
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+        "score": 0.5501
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+    },
+    {
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+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
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+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+    {
+      "evaluation_name": "MATH Level 5",
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
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+        "score_type": "continuous",
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3054
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+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3938
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+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3398
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Trappu/Magnum-Picaro-0.7-v2-12b/38c84c69-5cdb-4f24-820d-4b39c5b118ff.json b/data/hfopenllm_v2/Trappu/Magnum-Picaro-0.7-v2-12b/38c84c69-5cdb-4f24-820d-4b39c5b118ff.json
new file mode 100644
index 000000000..c9c3a7878
--- /dev/null
+++ b/data/hfopenllm_v2/Trappu/Magnum-Picaro-0.7-v2-12b/38c84c69-5cdb-4f24-820d-4b39c5b118ff.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Trappu_Magnum-Picaro-0.7-v2-12b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Magnum-Picaro-0.7-v2-12b",
+    "id": "Trappu/Magnum-Picaro-0.7-v2-12b",
+    "developer": "Trappu",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 12.248
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3003
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5507
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0665
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.323
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4727
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.358
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Trappu/Magnum-Picaro-0.7-v2-12b/77871404-f2e3-46f9-8c48-808fb89442cc.json b/data/hfopenllm_v2/Trappu/Magnum-Picaro-0.7-v2-12b/77871404-f2e3-46f9-8c48-808fb89442cc.json
deleted file mode 100644
index 75682cd68..000000000
--- a/data/hfopenllm_v2/Trappu/Magnum-Picaro-0.7-v2-12b/77871404-f2e3-46f9-8c48-808fb89442cc.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Trappu_Magnum-Picaro-0.7-v2-12b/1762652579.920383",
-  "retrieved_timestamp": "1762652579.920383",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Trappu/Magnum-Picaro-0.7-v2-12b",
-    "developer": "Trappu",
-    "inference_platform": "unknown",
-    "id": "Trappu/Magnum-Picaro-0.7-v2-12b",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 12.248
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.300278815764394
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5506661918828847
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.06646525679758308
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.32298657718120805
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.47271875
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.35804521276595747
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Trappu/Nemo-Picaro-12B/37534f85-e1ae-482b-89d0-480c4bbc50e7.json b/data/hfopenllm_v2/Trappu/Nemo-Picaro-12B/37534f85-e1ae-482b-89d0-480c4bbc50e7.json
deleted file mode 100644
index 07f353511..000000000
--- a/data/hfopenllm_v2/Trappu/Nemo-Picaro-12B/37534f85-e1ae-482b-89d0-480c4bbc50e7.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Trappu_Nemo-Picaro-12B/1762652579.92064",
-  "retrieved_timestamp": "1762652579.92064",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Trappu/Nemo-Picaro-12B",
-    "developer": "Trappu",
-    "inference_platform": "unknown",
-    "id": "Trappu/Nemo-Picaro-12B",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 12.248
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2577139766929525
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5489586125997546
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.08459214501510574
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3271812080536913
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.47259375
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.36045545212765956
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Trappu/Nemo-Picaro-12B/de9d274d-f213-4037-9711-3e9d3dbbcc96.json b/data/hfopenllm_v2/Trappu/Nemo-Picaro-12B/de9d274d-f213-4037-9711-3e9d3dbbcc96.json
new file mode 100644
index 000000000..0162cd45d
--- /dev/null
+++ b/data/hfopenllm_v2/Trappu/Nemo-Picaro-12B/de9d274d-f213-4037-9711-3e9d3dbbcc96.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Trappu_Nemo-Picaro-12B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Nemo-Picaro-12B",
+    "id": "Trappu/Nemo-Picaro-12B",
+    "developer": "Trappu",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 12.248
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2577
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.549
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0846
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3272
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4726
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3605
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Tremontaine/L3-12B-Lunaris-v1/51e5f1f2-a43a-4ade-9207-1b15d172ba08.json b/data/hfopenllm_v2/Tremontaine/L3-12B-Lunaris-v1/51e5f1f2-a43a-4ade-9207-1b15d172ba08.json
deleted file mode 100644
index 2e0b694f3..000000000
--- a/data/hfopenllm_v2/Tremontaine/L3-12B-Lunaris-v1/51e5f1f2-a43a-4ade-9207-1b15d172ba08.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Tremontaine_L3-12B-Lunaris-v1/1762652579.920848",
-  "retrieved_timestamp": "1762652579.920848",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Tremontaine/L3-12B-Lunaris-v1",
-    "developer": "Tremontaine",
-    "inference_platform": "unknown",
-    "id": "Tremontaine/L3-12B-Lunaris-v1",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 11.52
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6909311737301471
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5230217237244009
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.08761329305135952
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30956375838926176
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3673645833333334
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3774933510638298
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Tremontaine/L3-12B-Lunaris-v1/92381da4-b9d1-43c4-a5c9-59f375017e11.json b/data/hfopenllm_v2/Tremontaine/L3-12B-Lunaris-v1/92381da4-b9d1-43c4-a5c9-59f375017e11.json
new file mode 100644
index 000000000..8a5408f5a
--- /dev/null
+++ b/data/hfopenllm_v2/Tremontaine/L3-12B-Lunaris-v1/92381da4-b9d1-43c4-a5c9-59f375017e11.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Tremontaine_L3-12B-Lunaris-v1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "L3-12B-Lunaris-v1",
+    "id": "Tremontaine/L3-12B-Lunaris-v1",
+    "developer": "Tremontaine",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 11.52
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6909
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.523
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0876
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3096
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3674
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3775
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Triangle104/Annunaki-12b/28f9e91f-b32f-4b8f-ae18-126c7bbe6e7d.json b/data/hfopenllm_v2/Triangle104/Annunaki-12b/28f9e91f-b32f-4b8f-ae18-126c7bbe6e7d.json
deleted file mode 100644
index bb228b199..000000000
--- a/data/hfopenllm_v2/Triangle104/Annunaki-12b/28f9e91f-b32f-4b8f-ae18-126c7bbe6e7d.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Triangle104_Annunaki-12b/1762652579.921084",
-  "retrieved_timestamp": "1762652579.921084",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Triangle104/Annunaki-12b",
-    "developer": "Triangle104",
-    "inference_platform": "unknown",
-    "id": "Triangle104/Annunaki-12b",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 12.248
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3872070550583563
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5498969437971782
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1216012084592145
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3213087248322148
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.44087499999999996
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3720910904255319
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Triangle104/Annunaki-12b/44ab6a50-027d-47df-a518-5aa944eb2a61.json b/data/hfopenllm_v2/Triangle104/Annunaki-12b/44ab6a50-027d-47df-a518-5aa944eb2a61.json
new file mode 100644
index 000000000..d0a2060be
--- /dev/null
+++ b/data/hfopenllm_v2/Triangle104/Annunaki-12b/44ab6a50-027d-47df-a518-5aa944eb2a61.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Triangle104_Annunaki-12b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Annunaki-12b",
+    "id": "Triangle104/Annunaki-12b",
+    "developer": "Triangle104",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 12.248
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3872
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5499
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1216
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3213
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4409
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3721
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Triangle104/BigTalker-Lite-8B/2a1947d7-74e0-43d0-931d-b2862348e90a.json b/data/hfopenllm_v2/Triangle104/BigTalker-Lite-8B/2a1947d7-74e0-43d0-931d-b2862348e90a.json
new file mode 100644
index 000000000..c521e8873
--- /dev/null
+++ b/data/hfopenllm_v2/Triangle104/BigTalker-Lite-8B/2a1947d7-74e0-43d0-931d-b2862348e90a.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Triangle104_BigTalker-Lite-8B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "BigTalker-Lite-8B",
+    "id": "Triangle104/BigTalker-Lite-8B",
+    "developer": "Triangle104",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3689
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5308
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.102
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3104
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4208
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3431
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Triangle104/BigTalker-Lite-8B/befea823-7dc5-4e69-81e3-e75c4ff117ac.json b/data/hfopenllm_v2/Triangle104/BigTalker-Lite-8B/befea823-7dc5-4e69-81e3-e75c4ff117ac.json
deleted file mode 100644
index f44ef3cdb..000000000
--- a/data/hfopenllm_v2/Triangle104/BigTalker-Lite-8B/befea823-7dc5-4e69-81e3-e75c4ff117ac.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Triangle104_BigTalker-Lite-8B/1762652579.92133",
-  "retrieved_timestamp": "1762652579.921331",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Triangle104/BigTalker-Lite-8B",
-    "developer": "Triangle104",
-    "inference_platform": "unknown",
-    "id": "Triangle104/BigTalker-Lite-8B",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3689222374411007
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5308138241234059
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.10196374622356495
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3104026845637584
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42084375
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.34308510638297873
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Triangle104/Chatty-Harry_V2.0/3677b71c-387d-4182-b15d-c3525bc7bc36.json b/data/hfopenllm_v2/Triangle104/Chatty-Harry_V2.0/3677b71c-387d-4182-b15d-c3525bc7bc36.json
new file mode 100644
index 000000000..2703e6bd2
--- /dev/null
+++ b/data/hfopenllm_v2/Triangle104/Chatty-Harry_V2.0/3677b71c-387d-4182-b15d-c3525bc7bc36.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Triangle104_Chatty-Harry_V2.0/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Chatty-Harry_V2.0",
+    "id": "Triangle104/Chatty-Harry_V2.0",
+    "developer": "Triangle104",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 12.248
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3326
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5319
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.139
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.323
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4078
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3683
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Triangle104/Chatty-Harry_V2.0/f2dcc214-e25c-4c73-97f0-4e47304df09b.json b/data/hfopenllm_v2/Triangle104/Chatty-Harry_V2.0/f2dcc214-e25c-4c73-97f0-4e47304df09b.json
deleted file mode 100644
index a51ecc36c..000000000
--- a/data/hfopenllm_v2/Triangle104/Chatty-Harry_V2.0/f2dcc214-e25c-4c73-97f0-4e47304df09b.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Triangle104_Chatty-Harry_V2.0/1762652579.921529",
-  "retrieved_timestamp": "1762652579.92153",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Triangle104/Chatty-Harry_V2.0",
-    "developer": "Triangle104",
-    "inference_platform": "unknown",
-    "id": "Triangle104/Chatty-Harry_V2.0",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 12.248
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3325520729442324
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5318928049062546
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.13897280966767372
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.32298657718120805
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.40782291666666665
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.36826795212765956
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Triangle104/Chatty-Harry_V3.0/6b125a8e-5b53-48ca-8875-926249879f39.json b/data/hfopenllm_v2/Triangle104/Chatty-Harry_V3.0/6b125a8e-5b53-48ca-8875-926249879f39.json
new file mode 100644
index 000000000..58fe5380d
--- /dev/null
+++ b/data/hfopenllm_v2/Triangle104/Chatty-Harry_V3.0/6b125a8e-5b53-48ca-8875-926249879f39.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Triangle104_Chatty-Harry_V3.0/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Chatty-Harry_V3.0",
+    "id": "Triangle104/Chatty-Harry_V3.0",
+    "developer": "Triangle104",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 12.248
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3675
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5526
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1125
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.323
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4408
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3702
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Triangle104/Chatty-Harry_V3.0/b9b23a78-beea-4c4b-8bb8-d5a18a05ffce.json b/data/hfopenllm_v2/Triangle104/Chatty-Harry_V3.0/b9b23a78-beea-4c4b-8bb8-d5a18a05ffce.json
deleted file mode 100644
index f342b9c49..000000000
--- a/data/hfopenllm_v2/Triangle104/Chatty-Harry_V3.0/b9b23a78-beea-4c4b-8bb8-d5a18a05ffce.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Triangle104_Chatty-Harry_V3.0/1762652579.9217439",
-  "retrieved_timestamp": "1762652579.9217439",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Triangle104/Chatty-Harry_V3.0",
-    "developer": "Triangle104",
-    "inference_platform": "unknown",
-    "id": "Triangle104/Chatty-Harry_V3.0",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 12.248
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.36749823800848413
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5526193453608234
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11253776435045318
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.32298657718120805
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.44084375
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37017952127659576
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Triangle104/Chronos-Prism_V1.0/13bb7db2-9d89-4dce-950a-14ccfb3492aa.json b/data/hfopenllm_v2/Triangle104/Chronos-Prism_V1.0/13bb7db2-9d89-4dce-950a-14ccfb3492aa.json
deleted file mode 100644
index 13f6d54b7..000000000
--- a/data/hfopenllm_v2/Triangle104/Chronos-Prism_V1.0/13bb7db2-9d89-4dce-950a-14ccfb3492aa.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Triangle104_Chronos-Prism_V1.0/1762652579.921948",
-  "retrieved_timestamp": "1762652579.921948",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Triangle104/Chronos-Prism_V1.0",
-    "developer": "Triangle104",
-    "inference_platform": "unknown",
-    "id": "Triangle104/Chronos-Prism_V1.0",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 12.248
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3259329689667859
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5554188807010064
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.12009063444108761
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30956375838926176
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4262708333333333
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.36727061170212766
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Triangle104/Chronos-Prism_V1.0/af851d4b-69d4-49a9-a160-a180146c3963.json b/data/hfopenllm_v2/Triangle104/Chronos-Prism_V1.0/af851d4b-69d4-49a9-a160-a180146c3963.json
new file mode 100644
index 000000000..a35b89646
--- /dev/null
+++ b/data/hfopenllm_v2/Triangle104/Chronos-Prism_V1.0/af851d4b-69d4-49a9-a160-a180146c3963.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Triangle104_Chronos-Prism_V1.0/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Chronos-Prism_V1.0",
+    "id": "Triangle104/Chronos-Prism_V1.0",
+    "developer": "Triangle104",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 12.248
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3259
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5554
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1201
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
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+        "max_score": 1.0
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Triangle104/DS-Distilled-Hermes-Llama-3.1/7aa6ce37-c0e4-48ce-b9db-f158ac47d366.json b/data/hfopenllm_v2/Triangle104/DS-Distilled-Hermes-Llama-3.1/7aa6ce37-c0e4-48ce-b9db-f158ac47d366.json
new file mode 100644
index 000000000..bb6dc9f21
--- /dev/null
+++ b/data/hfopenllm_v2/Triangle104/DS-Distilled-Hermes-Llama-3.1/7aa6ce37-c0e4-48ce-b9db-f158ac47d366.json
@@ -0,0 +1,132 @@
+{
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+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
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+  "model_info": {
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+    "id": "Triangle104/DS-Distilled-Hermes-Llama-3.1",
+    "developer": "Triangle104",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
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+  "evaluation_results": [
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+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5117
+      }
+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "max_score": 1.0
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+      }
+    },
+    {
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+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4039
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+        "score": 0.311
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Triangle104/DS-Distilled-Hermes-Llama-3.1_TIES/1bce093e-27c0-41ad-aad6-b656f6773ed5.json b/data/hfopenllm_v2/Triangle104/DS-Distilled-Hermes-Llama-3.1_TIES/1bce093e-27c0-41ad-aad6-b656f6773ed5.json
new file mode 100644
index 000000000..5e892b1b2
--- /dev/null
+++ b/data/hfopenllm_v2/Triangle104/DS-Distilled-Hermes-Llama-3.1_TIES/1bce093e-27c0-41ad-aad6-b656f6773ed5.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Triangle104_DS-Distilled-Hermes-Llama-3.1_TIES/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "DS-Distilled-Hermes-Llama-3.1_TIES",
+    "id": "Triangle104/DS-Distilled-Hermes-Llama-3.1_TIES",
+    "developer": "Triangle104",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1364
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2928
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0091
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.245
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3621
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1104
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Triangle104/DS-R1-Distill-Q2.5-10B-Harmony/5c6cffab-ef72-4e12-808c-c26ee8ec6999.json b/data/hfopenllm_v2/Triangle104/DS-R1-Distill-Q2.5-10B-Harmony/5c6cffab-ef72-4e12-808c-c26ee8ec6999.json
new file mode 100644
index 000000000..8e46d73b5
--- /dev/null
+++ b/data/hfopenllm_v2/Triangle104/DS-R1-Distill-Q2.5-10B-Harmony/5c6cffab-ef72-4e12-808c-c26ee8ec6999.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Triangle104_DS-R1-Distill-Q2.5-10B-Harmony/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "DS-R1-Distill-Q2.5-10B-Harmony",
+    "id": "Triangle104/DS-R1-Distill-Q2.5-10B-Harmony",
+    "developer": "Triangle104",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 10.366
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1751
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2643
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2106
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3128
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1173
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Triangle104/DS-R1-Distill-Q2.5-10B-Harmony/ff136a9d-7e29-4a44-86be-c69bc115102e.json b/data/hfopenllm_v2/Triangle104/DS-R1-Distill-Q2.5-10B-Harmony/ff136a9d-7e29-4a44-86be-c69bc115102e.json
deleted file mode 100644
index a8994a7cd..000000000
--- a/data/hfopenllm_v2/Triangle104/DS-R1-Distill-Q2.5-10B-Harmony/ff136a9d-7e29-4a44-86be-c69bc115102e.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "source_data": [
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-    "name": "Triangle104/DS-R1-Distill-Q2.5-10B-Harmony",
-    "developer": "Triangle104",
-    "inference_platform": "unknown",
-    "id": "Triangle104/DS-R1-Distill-Q2.5-10B-Harmony",
-    "additional_details": {
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-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 10.366
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-      "evaluation_name": "IFEval",
-      "metric_config": {
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-        "lower_is_better": false,
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-        "min_score": 0,
-        "max_score": 1
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
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-        "lower_is_better": false,
-        "score_type": "continuous",
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-    {
-      "evaluation_name": "GPQA",
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-    {
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.31276041666666665
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-  ]
-}
diff --git a/data/hfopenllm_v2/Triangle104/DS-R1-Distill-Q2.5-14B-Harmony_V0.1/63bc0215-741c-48ab-8ce3-d4c036c74a42.json b/data/hfopenllm_v2/Triangle104/DS-R1-Distill-Q2.5-14B-Harmony_V0.1/63bc0215-741c-48ab-8ce3-d4c036c74a42.json
deleted file mode 100644
index 074c973e2..000000000
--- a/data/hfopenllm_v2/Triangle104/DS-R1-Distill-Q2.5-14B-Harmony_V0.1/63bc0215-741c-48ab-8ce3-d4c036c74a42.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/Triangle104_DS-R1-Distill-Q2.5-14B-Harmony_V0.1/1762652579.9228039",
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-  "source_data": [
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Triangle104/DS-R1-Distill-Q2.5-14B-Harmony_V0.1",
-    "developer": "Triangle104",
-    "inference_platform": "unknown",
-    "id": "Triangle104/DS-R1-Distill-Q2.5-14B-Harmony_V0.1",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 14.77
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-  "evaluation_results": [
-    {
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-    {
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-        "max_score": 1
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-    {
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-      "metric_config": {
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diff --git a/data/hfopenllm_v2/Triangle104/DS-R1-Distill-Q2.5-14B-Harmony_V0.1/e288a874-f750-4a90-be07-616094c220cf.json b/data/hfopenllm_v2/Triangle104/DS-R1-Distill-Q2.5-14B-Harmony_V0.1/e288a874-f750-4a90-be07-616094c220cf.json
new file mode 100644
index 000000000..350f712ec
--- /dev/null
+++ b/data/hfopenllm_v2/Triangle104/DS-R1-Distill-Q2.5-14B-Harmony_V0.1/e288a874-f750-4a90-be07-616094c220cf.json
@@ -0,0 +1,132 @@
+{
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+  "source_metadata": {
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+    "id": "Triangle104/DS-R1-Distill-Q2.5-14B-Harmony_V0.1",
+    "developer": "Triangle104",
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
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+        "hf_repo": "TIGER-Lab/MMLU-Pro"
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Triangle104/DS-R1-Distill-Q2.5-7B-RP/0607da8d-3f4e-468a-91a6-b975261a87c0.json b/data/hfopenllm_v2/Triangle104/DS-R1-Distill-Q2.5-7B-RP/0607da8d-3f4e-468a-91a6-b975261a87c0.json
new file mode 100644
index 000000000..0817ae888
--- /dev/null
+++ b/data/hfopenllm_v2/Triangle104/DS-R1-Distill-Q2.5-7B-RP/0607da8d-3f4e-468a-91a6-b975261a87c0.json
@@ -0,0 +1,132 @@
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+  "source_metadata": {
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+    "source_type": "documentation",
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+    "id": "Triangle104/DS-R1-Distill-Q2.5-7B-RP",
+    "developer": "Triangle104",
+    "inference_platform": "unknown",
+    "additional_details": {
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+        "hf_repo": "SaylorTwift/bbh"
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+        "lower_is_better": false,
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
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+        "hf_repo": "Idavidrein/gpqa"
+      },
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
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+        "hf_repo": "TIGER-Lab/MMLU-Pro"
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+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Triangle104/DS-R1-Distill-Q2.5-7B-RP/5515e597-5f9f-46eb-8d3f-0482bdd69715.json b/data/hfopenllm_v2/Triangle104/DS-R1-Distill-Q2.5-7B-RP/5515e597-5f9f-46eb-8d3f-0482bdd69715.json
deleted file mode 100644
index e16dfa9e1..000000000
--- a/data/hfopenllm_v2/Triangle104/DS-R1-Distill-Q2.5-7B-RP/5515e597-5f9f-46eb-8d3f-0482bdd69715.json
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diff --git a/data/hfopenllm_v2/Triangle104/DS-R1-Llama-8B-Harmony/be2cc2fd-c8e7-4421-b8c8-d3b937272d0d.json b/data/hfopenllm_v2/Triangle104/DS-R1-Llama-8B-Harmony/be2cc2fd-c8e7-4421-b8c8-d3b937272d0d.json
new file mode 100644
index 000000000..c407ea12b
--- /dev/null
+++ b/data/hfopenllm_v2/Triangle104/DS-R1-Llama-8B-Harmony/be2cc2fd-c8e7-4421-b8c8-d3b937272d0d.json
@@ -0,0 +1,132 @@
+{
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+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
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+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "DS-R1-Llama-8B-Harmony",
+    "id": "Triangle104/DS-R1-Llama-8B-Harmony",
+    "developer": "Triangle104",
+    "inference_platform": "unknown",
+    "additional_details": {
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+      "architecture": "LlamaForCausalLM",
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
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+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "max_score": 1.0
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+    },
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
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+    },
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+      }
+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
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+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+    },
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Triangle104/DSR1-Distill-Llama-Lit-8B/15ffe64e-72fd-4e65-8632-babf137a386d.json b/data/hfopenllm_v2/Triangle104/DSR1-Distill-Llama-Lit-8B/15ffe64e-72fd-4e65-8632-babf137a386d.json
new file mode 100644
index 000000000..db0609b3f
--- /dev/null
+++ b/data/hfopenllm_v2/Triangle104/DSR1-Distill-Llama-Lit-8B/15ffe64e-72fd-4e65-8632-babf137a386d.json
@@ -0,0 +1,132 @@
+{
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+  "evaluation_id": "hfopenllm_v2/Triangle104_DSR1-Distill-Llama-Lit-8B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "DSR1-Distill-Llama-Lit-8B",
+    "id": "Triangle104/DSR1-Distill-Llama-Lit-8B",
+    "developer": "Triangle104",
+    "inference_platform": "unknown",
+    "additional_details": {
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+      "architecture": "LlamaForCausalLM",
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+  "evaluation_results": [
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
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+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1885
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+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4284
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.352
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3029
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3535
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2798
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Triangle104/DSR1-Distill-Qwen-7B-RP/ce1c0d4f-f5a3-49e7-ab77-65ff51bbd0ca.json b/data/hfopenllm_v2/Triangle104/DSR1-Distill-Qwen-7B-RP/ce1c0d4f-f5a3-49e7-ab77-65ff51bbd0ca.json
new file mode 100644
index 000000000..78fbf1df3
--- /dev/null
+++ b/data/hfopenllm_v2/Triangle104/DSR1-Distill-Qwen-7B-RP/ce1c0d4f-f5a3-49e7-ab77-65ff51bbd0ca.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Triangle104_DSR1-Distill-Qwen-7B-RP/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "DSR1-Distill-Qwen-7B-RP",
+    "id": "Triangle104/DSR1-Distill-Qwen-7B-RP",
+    "developer": "Triangle104",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.613
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3609
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4326
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4804
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3196
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4045
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3028
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Triangle104/Dark-Chivalry_V1.0/b5afab38-13ba-4abd-9d04-a433c41061c5.json b/data/hfopenllm_v2/Triangle104/Dark-Chivalry_V1.0/b5afab38-13ba-4abd-9d04-a433c41061c5.json
new file mode 100644
index 000000000..48178e07b
--- /dev/null
+++ b/data/hfopenllm_v2/Triangle104/Dark-Chivalry_V1.0/b5afab38-13ba-4abd-9d04-a433c41061c5.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Triangle104_Dark-Chivalry_V1.0/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Dark-Chivalry_V1.0",
+    "id": "Triangle104/Dark-Chivalry_V1.0",
+    "developer": "Triangle104",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4326
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4974
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1314
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2936
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4182
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3444
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Triangle104/Dark-Chivalry_V1.0/ed3b441b-272c-4bc4-8839-aa6055a6ccbc.json b/data/hfopenllm_v2/Triangle104/Dark-Chivalry_V1.0/ed3b441b-272c-4bc4-8839-aa6055a6ccbc.json
deleted file mode 100644
index 8c4d724a2..000000000
--- a/data/hfopenllm_v2/Triangle104/Dark-Chivalry_V1.0/ed3b441b-272c-4bc4-8839-aa6055a6ccbc.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Triangle104_Dark-Chivalry_V1.0/1762652579.923868",
-  "retrieved_timestamp": "1762652579.923869",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Triangle104/Dark-Chivalry_V1.0",
-    "developer": "Triangle104",
-    "inference_platform": "unknown",
-    "id": "Triangle104/Dark-Chivalry_V1.0",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4325700253106203
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4974207759950637
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.13141993957703926
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2936241610738255
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4181770833333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.34441489361702127
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Triangle104/Distilled-DarkPlanet-Allades-8B/2d57a30c-8a0e-4f18-bb2d-6bf4536bbc86.json b/data/hfopenllm_v2/Triangle104/Distilled-DarkPlanet-Allades-8B/2d57a30c-8a0e-4f18-bb2d-6bf4536bbc86.json
deleted file mode 100644
index db75da80b..000000000
--- a/data/hfopenllm_v2/Triangle104/Distilled-DarkPlanet-Allades-8B/2d57a30c-8a0e-4f18-bb2d-6bf4536bbc86.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Triangle104_Distilled-DarkPlanet-Allades-8B/1762652579.9240808",
-  "retrieved_timestamp": "1762652579.9240808",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Triangle104/Distilled-DarkPlanet-Allades-8B",
-    "developer": "Triangle104",
-    "inference_platform": "unknown",
-    "id": "Triangle104/Distilled-DarkPlanet-Allades-8B",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3460163477351206
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4633948672868899
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
-        "score": 0.4003021148036254
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3053691275167785
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.35375
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.29014295212765956
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Triangle104/Distilled-DarkPlanet-Allades-8B/a862c2a5-f66b-4d09-ac57-6cbe565f9f35.json b/data/hfopenllm_v2/Triangle104/Distilled-DarkPlanet-Allades-8B/a862c2a5-f66b-4d09-ac57-6cbe565f9f35.json
new file mode 100644
index 000000000..b8c909e09
--- /dev/null
+++ b/data/hfopenllm_v2/Triangle104/Distilled-DarkPlanet-Allades-8B/a862c2a5-f66b-4d09-ac57-6cbe565f9f35.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Triangle104_Distilled-DarkPlanet-Allades-8B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Distilled-DarkPlanet-Allades-8B",
+    "id": "Triangle104/Distilled-DarkPlanet-Allades-8B",
+    "developer": "Triangle104",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.346
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4634
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4003
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3054
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3538
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2901
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Triangle104/Distilled-DarkPlanet-Allades-8B_TIES/9bff68b3-82a4-49b5-90a7-3c0038ddc35a.json b/data/hfopenllm_v2/Triangle104/Distilled-DarkPlanet-Allades-8B_TIES/9bff68b3-82a4-49b5-90a7-3c0038ddc35a.json
deleted file mode 100644
index cf70b5e7b..000000000
--- a/data/hfopenllm_v2/Triangle104/Distilled-DarkPlanet-Allades-8B_TIES/9bff68b3-82a4-49b5-90a7-3c0038ddc35a.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Triangle104_Distilled-DarkPlanet-Allades-8B_TIES/1762652579.924282",
-  "retrieved_timestamp": "1762652579.924282",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
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-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Triangle104/Distilled-DarkPlanet-Allades-8B_TIES",
-    "developer": "Triangle104",
-    "inference_platform": "unknown",
-    "id": "Triangle104/Distilled-DarkPlanet-Allades-8B_TIES",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
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-  "evaluation_results": [
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-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-    {
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-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
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-        "max_score": 1
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-      "score_details": {
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-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3868020833333334
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.340093085106383
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Triangle104/Distilled-DarkPlanet-Allades-8B_TIES/d8254f6c-8110-44d3-800e-101fc731d779.json b/data/hfopenllm_v2/Triangle104/Distilled-DarkPlanet-Allades-8B_TIES/d8254f6c-8110-44d3-800e-101fc731d779.json
new file mode 100644
index 000000000..ab8e49bea
--- /dev/null
+++ b/data/hfopenllm_v2/Triangle104/Distilled-DarkPlanet-Allades-8B_TIES/d8254f6c-8110-44d3-800e-101fc731d779.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Triangle104_Distilled-DarkPlanet-Allades-8B_TIES/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Distilled-DarkPlanet-Allades-8B_TIES",
+    "id": "Triangle104/Distilled-DarkPlanet-Allades-8B_TIES",
+    "developer": "Triangle104",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3892
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5042
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0906
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3146
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3868
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3401
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Triangle104/Distilled-Whiskey-8b/ccbcd5a7-2b98-4d90-ace1-3ad5971a5f18.json b/data/hfopenllm_v2/Triangle104/Distilled-Whiskey-8b/ccbcd5a7-2b98-4d90-ace1-3ad5971a5f18.json
new file mode 100644
index 000000000..56ce9bac6
--- /dev/null
+++ b/data/hfopenllm_v2/Triangle104/Distilled-Whiskey-8b/ccbcd5a7-2b98-4d90-ace1-3ad5971a5f18.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Triangle104_Distilled-Whiskey-8b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Distilled-Whiskey-8b",
+    "id": "Triangle104/Distilled-Whiskey-8b",
+    "developer": "Triangle104",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3448
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5028
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2545
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3314
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4172
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3367
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Triangle104/Distilled-Whiskey-8b/cf34d222-197f-4d3d-9786-fb5c019f2552.json b/data/hfopenllm_v2/Triangle104/Distilled-Whiskey-8b/cf34d222-197f-4d3d-9786-fb5c019f2552.json
deleted file mode 100644
index 022fa0f23..000000000
--- a/data/hfopenllm_v2/Triangle104/Distilled-Whiskey-8b/cf34d222-197f-4d3d-9786-fb5c019f2552.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Triangle104_Distilled-Whiskey-8b/1762652579.924494",
-  "retrieved_timestamp": "1762652579.9244952",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Triangle104/Distilled-Whiskey-8b",
-    "developer": "Triangle104",
-    "inference_platform": "unknown",
-    "id": "Triangle104/Distilled-Whiskey-8b",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.34476743928332376
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-    },
-    {
-      "evaluation_name": "BBH",
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-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "GPQA",
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3313758389261745
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41721874999999997
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3366855053191489
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Triangle104/Dolphin3-Llama3.2-Smart/c208b19b-4ecf-4fad-b931-54f65d4b711b.json b/data/hfopenllm_v2/Triangle104/Dolphin3-Llama3.2-Smart/c208b19b-4ecf-4fad-b931-54f65d4b711b.json
new file mode 100644
index 000000000..b54a4d6b2
--- /dev/null
+++ b/data/hfopenllm_v2/Triangle104/Dolphin3-Llama3.2-Smart/c208b19b-4ecf-4fad-b931-54f65d4b711b.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Triangle104_Dolphin3-Llama3.2-Smart/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Dolphin3-Llama3.2-Smart",
+    "id": "Triangle104/Dolphin3-Llama3.2-Smart",
+    "developer": "Triangle104",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 3.213
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4137
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3975
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0438
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2693
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/Triangle104/Gemmadevi-Stock-10B/debaf4a0-c734-47ea-bea0-2ddc65dc397d.json b/data/hfopenllm_v2/Triangle104/Gemmadevi-Stock-10B/debaf4a0-c734-47ea-bea0-2ddc65dc397d.json
new file mode 100644
index 000000000..edaf3ab86
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+++ b/data/hfopenllm_v2/Triangle104/Gemmadevi-Stock-10B/debaf4a0-c734-47ea-bea0-2ddc65dc397d.json
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/Triangle104/Hermes-Llama-3.2-CoT-Summary/0eeb5962-ccc0-407b-92e6-7cf17c00941f.json b/data/hfopenllm_v2/Triangle104/Hermes-Llama-3.2-CoT-Summary/0eeb5962-ccc0-407b-92e6-7cf17c00941f.json
new file mode 100644
index 000000000..2948054fa
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/Triangle104/Hermes-Llama-3.2-CoT/4b60e863-482c-4f91-8cd1-6c993d3c5988.json b/data/hfopenllm_v2/Triangle104/Hermes-Llama-3.2-CoT/4b60e863-482c-4f91-8cd1-6c993d3c5988.json
new file mode 100644
index 000000000..156711b1f
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/Triangle104/Hermes3-L3.1-DirtyHarry-8B/a8086735-c7a7-48b5-9219-829e288040f5.json b/data/hfopenllm_v2/Triangle104/Hermes3-L3.1-DirtyHarry-8B/a8086735-c7a7-48b5-9219-829e288040f5.json
deleted file mode 100644
index cf54c7c8f..000000000
--- a/data/hfopenllm_v2/Triangle104/Hermes3-L3.1-DirtyHarry-8B/a8086735-c7a7-48b5-9219-829e288040f5.json
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diff --git a/data/hfopenllm_v2/Triangle104/Hermes3-L3.1-DirtyHarry-8B/f5f0bc72-427d-4703-aab1-1bb1bea73895.json b/data/hfopenllm_v2/Triangle104/Hermes3-L3.1-DirtyHarry-8B/f5f0bc72-427d-4703-aab1-1bb1bea73895.json
new file mode 100644
index 000000000..92f5b47d3
--- /dev/null
+++ b/data/hfopenllm_v2/Triangle104/Hermes3-L3.1-DirtyHarry-8B/f5f0bc72-427d-4703-aab1-1bb1bea73895.json
@@ -0,0 +1,132 @@
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+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.302
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4069
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3339
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Triangle104/Herodotos-14B/271dbfc3-d9cf-4cb7-b1c0-175f016ed32b.json b/data/hfopenllm_v2/Triangle104/Herodotos-14B/271dbfc3-d9cf-4cb7-b1c0-175f016ed32b.json
deleted file mode 100644
index 345e75f00..000000000
--- a/data/hfopenllm_v2/Triangle104/Herodotos-14B/271dbfc3-d9cf-4cb7-b1c0-175f016ed32b.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Triangle104_Herodotos-14B/1762652579.925863",
-  "retrieved_timestamp": "1762652579.925863",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Triangle104/Herodotos-14B",
-    "developer": "Triangle104",
-    "inference_platform": "unknown",
-    "id": "Triangle104/Herodotos-14B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 14.77
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4667415790103592
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6435044367110887
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5045317220543807
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3733221476510067
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4795416666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5290059840425532
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Triangle104/Herodotos-14B/aae7f543-7b5b-435f-a506-e3ab901a8c5a.json b/data/hfopenllm_v2/Triangle104/Herodotos-14B/aae7f543-7b5b-435f-a506-e3ab901a8c5a.json
new file mode 100644
index 000000000..1a742c4be
--- /dev/null
+++ b/data/hfopenllm_v2/Triangle104/Herodotos-14B/aae7f543-7b5b-435f-a506-e3ab901a8c5a.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Triangle104_Herodotos-14B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Herodotos-14B",
+    "id": "Triangle104/Herodotos-14B",
+    "developer": "Triangle104",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.77
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4667
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6435
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5045
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3733
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4795
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.529
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Triangle104/Herodotos-14B_V0.1/3c6d1b1b-465a-4b97-83ed-d2ebd27a905e.json b/data/hfopenllm_v2/Triangle104/Herodotos-14B_V0.1/3c6d1b1b-465a-4b97-83ed-d2ebd27a905e.json
deleted file mode 100644
index f24a974dc..000000000
--- a/data/hfopenllm_v2/Triangle104/Herodotos-14B_V0.1/3c6d1b1b-465a-4b97-83ed-d2ebd27a905e.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Triangle104_Herodotos-14B_V0.1/1762652579.9261289",
-  "retrieved_timestamp": "1762652579.926136",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Triangle104/Herodotos-14B_V0.1",
-    "developer": "Triangle104",
-    "inference_platform": "unknown",
-    "id": "Triangle104/Herodotos-14B_V0.1",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 14.77
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1878715142488597
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30172239497895226
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.0
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.22399328859060402
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3683854166666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11643949468085106
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Triangle104/Herodotos-14B_V0.1/6e6ff4c3-3cfd-4790-80c4-544d9cbe47e2.json b/data/hfopenllm_v2/Triangle104/Herodotos-14B_V0.1/6e6ff4c3-3cfd-4790-80c4-544d9cbe47e2.json
new file mode 100644
index 000000000..cc2ae0230
--- /dev/null
+++ b/data/hfopenllm_v2/Triangle104/Herodotos-14B_V0.1/6e6ff4c3-3cfd-4790-80c4-544d9cbe47e2.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Triangle104_Herodotos-14B_V0.1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Herodotos-14B_V0.1",
+    "id": "Triangle104/Herodotos-14B_V0.1",
+    "developer": "Triangle104",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.77
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1879
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3017
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.224
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3684
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1164
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Triangle104/L3.1-8B-Dusky-Ink/3ee76278-89d4-44fb-a449-717534b00161.json b/data/hfopenllm_v2/Triangle104/L3.1-8B-Dusky-Ink/3ee76278-89d4-44fb-a449-717534b00161.json
new file mode 100644
index 000000000..c76643578
--- /dev/null
+++ b/data/hfopenllm_v2/Triangle104/L3.1-8B-Dusky-Ink/3ee76278-89d4-44fb-a449-717534b00161.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Triangle104_L3.1-8B-Dusky-Ink/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "L3.1-8B-Dusky-Ink",
+    "id": "Triangle104/L3.1-8B-Dusky-Ink",
+    "developer": "Triangle104",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.453
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5098
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1231
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2894
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4224
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3683
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Triangle104/L3.1-8B-Dusky-Ink/4eed8b1b-591d-403b-96f4-c6db11e8b234.json b/data/hfopenllm_v2/Triangle104/L3.1-8B-Dusky-Ink/4eed8b1b-591d-403b-96f4-c6db11e8b234.json
deleted file mode 100644
index 28e9f075e..000000000
--- a/data/hfopenllm_v2/Triangle104/L3.1-8B-Dusky-Ink/4eed8b1b-591d-403b-96f4-c6db11e8b234.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Triangle104_L3.1-8B-Dusky-Ink/1762652579.926589",
-  "retrieved_timestamp": "1762652579.92659",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Triangle104/L3.1-8B-Dusky-Ink",
-    "developer": "Triangle104",
-    "inference_platform": "unknown",
-    "id": "Triangle104/L3.1-8B-Dusky-Ink",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4529780981130068
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5097902234872148
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.12311178247734139
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.28942953020134227
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4223958333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.36826795212765956
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Triangle104/L3.1-8B-Dusky-Ink_v0.r1/a43e1d8d-8a9e-445b-9023-fc6d4a41fcfc.json b/data/hfopenllm_v2/Triangle104/L3.1-8B-Dusky-Ink_v0.r1/a43e1d8d-8a9e-445b-9023-fc6d4a41fcfc.json
deleted file mode 100644
index 2fe190b97..000000000
--- a/data/hfopenllm_v2/Triangle104/L3.1-8B-Dusky-Ink_v0.r1/a43e1d8d-8a9e-445b-9023-fc6d4a41fcfc.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Triangle104_L3.1-8B-Dusky-Ink_v0.r1/1762652579.926839",
-  "retrieved_timestamp": "1762652579.92684",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Triangle104/L3.1-8B-Dusky-Ink_v0.r1",
-    "developer": "Triangle104",
-    "inference_platform": "unknown",
-    "id": "Triangle104/L3.1-8B-Dusky-Ink_v0.r1",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.19848779017451473
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.43372778578458115
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.04305135951661632
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3036912751677852
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3988333333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.320561835106383
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Triangle104/L3.1-8B-Dusky-Ink_v0.r1/fa2854d3-9e2f-4f79-ac8c-e1cb5a638745.json b/data/hfopenllm_v2/Triangle104/L3.1-8B-Dusky-Ink_v0.r1/fa2854d3-9e2f-4f79-ac8c-e1cb5a638745.json
new file mode 100644
index 000000000..021c2c4e6
--- /dev/null
+++ b/data/hfopenllm_v2/Triangle104/L3.1-8B-Dusky-Ink_v0.r1/fa2854d3-9e2f-4f79-ac8c-e1cb5a638745.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Triangle104_L3.1-8B-Dusky-Ink_v0.r1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "L3.1-8B-Dusky-Ink_v0.r1",
+    "id": "Triangle104/L3.1-8B-Dusky-Ink_v0.r1",
+    "developer": "Triangle104",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1985
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4337
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0431
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3037
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3988
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3206
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Triangle104/LThreePointOne-8B-HermesBlackroot/9ddaa721-bf3a-416a-9be8-291188793cc9.json b/data/hfopenllm_v2/Triangle104/LThreePointOne-8B-HermesBlackroot/9ddaa721-bf3a-416a-9be8-291188793cc9.json
new file mode 100644
index 000000000..e187b6fe9
--- /dev/null
+++ b/data/hfopenllm_v2/Triangle104/LThreePointOne-8B-HermesBlackroot/9ddaa721-bf3a-416a-9be8-291188793cc9.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Triangle104_LThreePointOne-8B-HermesBlackroot/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "LThreePointOne-8B-HermesBlackroot",
+    "id": "Triangle104/LThreePointOne-8B-HermesBlackroot",
+    "developer": "Triangle104",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1792
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4998
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0196
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.307
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3586
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3285
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Triangle104/LThreePointOne-8B-HermesBlackroot/d1c3467e-6189-4d6f-bedb-8c51fa8bfde6.json b/data/hfopenllm_v2/Triangle104/LThreePointOne-8B-HermesBlackroot/d1c3467e-6189-4d6f-bedb-8c51fa8bfde6.json
deleted file mode 100644
index e4f3e7af6..000000000
--- a/data/hfopenllm_v2/Triangle104/LThreePointOne-8B-HermesBlackroot/d1c3467e-6189-4d6f-bedb-8c51fa8bfde6.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Triangle104_LThreePointOne-8B-HermesBlackroot/1762652579.927087",
-  "retrieved_timestamp": "1762652579.927088",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Triangle104/LThreePointOne-8B-HermesBlackroot",
-    "developer": "Triangle104",
-    "inference_platform": "unknown",
-    "id": "Triangle104/LThreePointOne-8B-HermesBlackroot",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.17920340252751588
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4998333246909241
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.019637462235649546
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3070469798657718
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3585520833333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.32845744680851063
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Triangle104/LThreePointOne-8B-HermesInk/1bb3c61f-2f72-4486-87ef-1e6d5ce58478.json b/data/hfopenllm_v2/Triangle104/LThreePointOne-8B-HermesInk/1bb3c61f-2f72-4486-87ef-1e6d5ce58478.json
deleted file mode 100644
index b0b8b7364..000000000
--- a/data/hfopenllm_v2/Triangle104/LThreePointOne-8B-HermesInk/1bb3c61f-2f72-4486-87ef-1e6d5ce58478.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Triangle104_LThreePointOne-8B-HermesInk/1762652579.927316",
-  "retrieved_timestamp": "1762652579.927316",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Triangle104/LThreePointOne-8B-HermesInk",
-    "developer": "Triangle104",
-    "inference_platform": "unknown",
-    "id": "Triangle104/LThreePointOne-8B-HermesInk",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4031192790684273
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5222765555856439
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.17220543806646527
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.32298657718120805
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4129375
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.34674202127659576
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Triangle104/LThreePointOne-8B-HermesInk/d659077d-7261-4c69-862c-d61be21662a2.json b/data/hfopenllm_v2/Triangle104/LThreePointOne-8B-HermesInk/d659077d-7261-4c69-862c-d61be21662a2.json
new file mode 100644
index 000000000..d949801cc
--- /dev/null
+++ b/data/hfopenllm_v2/Triangle104/LThreePointOne-8B-HermesInk/d659077d-7261-4c69-862c-d61be21662a2.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Triangle104_LThreePointOne-8B-HermesInk/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "LThreePointOne-8B-HermesInk",
+    "id": "Triangle104/LThreePointOne-8B-HermesInk",
+    "developer": "Triangle104",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4031
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5223
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1722
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.323
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4129
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3467
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Triangle104/Llama3.1-Allades-Lit-8b/e87ba227-c55e-4666-949d-b45913f8336b.json b/data/hfopenllm_v2/Triangle104/Llama3.1-Allades-Lit-8b/e87ba227-c55e-4666-949d-b45913f8336b.json
new file mode 100644
index 000000000..8839950e8
--- /dev/null
+++ b/data/hfopenllm_v2/Triangle104/Llama3.1-Allades-Lit-8b/e87ba227-c55e-4666-949d-b45913f8336b.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Triangle104_Llama3.1-Allades-Lit-8b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama3.1-Allades-Lit-8b",
+    "id": "Triangle104/Llama3.1-Allades-Lit-8b",
+    "developer": "Triangle104",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2461
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4183
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0023
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2844
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3708
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2724
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Triangle104/Llama3.1-cc-Lit-8b/077f683a-af6f-4a71-b599-b9b269546b7c.json b/data/hfopenllm_v2/Triangle104/Llama3.1-cc-Lit-8b/077f683a-af6f-4a71-b599-b9b269546b7c.json
new file mode 100644
index 000000000..1c20850c6
--- /dev/null
+++ b/data/hfopenllm_v2/Triangle104/Llama3.1-cc-Lit-8b/077f683a-af6f-4a71-b599-b9b269546b7c.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Triangle104_Llama3.1-cc-Lit-8b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama3.1-cc-Lit-8b",
+    "id": "Triangle104/Llama3.1-cc-Lit-8b",
+    "developer": "Triangle104",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2993
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3848
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.003
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2777
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3854
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3004
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Triangle104/Minerva-1.5b/26810cc0-541f-4ca5-b76e-f1a63baa61f6.json b/data/hfopenllm_v2/Triangle104/Minerva-1.5b/26810cc0-541f-4ca5-b76e-f1a63baa61f6.json
deleted file mode 100644
index 479c53ccc..000000000
--- a/data/hfopenllm_v2/Triangle104/Minerva-1.5b/26810cc0-541f-4ca5-b76e-f1a63baa61f6.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Triangle104_Minerva-1.5b/1762652579.9280179",
-  "retrieved_timestamp": "1762652579.9280179",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Triangle104/Minerva-1.5b",
-    "developer": "Triangle104",
-    "inference_platform": "unknown",
-    "id": "Triangle104/Minerva-1.5b",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 1.777
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2694295580171722
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4025709779119226
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1027190332326284
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3104026845637584
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3655
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.269780585106383
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Triangle104/Minerva-1.5b/54808b08-d10d-4a06-ab60-8d99039311b8.json b/data/hfopenllm_v2/Triangle104/Minerva-1.5b/54808b08-d10d-4a06-ab60-8d99039311b8.json
new file mode 100644
index 000000000..fc5d9a10e
--- /dev/null
+++ b/data/hfopenllm_v2/Triangle104/Minerva-1.5b/54808b08-d10d-4a06-ab60-8d99039311b8.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Triangle104_Minerva-1.5b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Minerva-1.5b",
+    "id": "Triangle104/Minerva-1.5b",
+    "developer": "Triangle104",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 1.777
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2694
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4026
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1027
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3104
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3655
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2698
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Triangle104/Minerva-1.5b_V0.2/138e6fdb-7092-4ee6-be82-7bb86c1fc759.json b/data/hfopenllm_v2/Triangle104/Minerva-1.5b_V0.2/138e6fdb-7092-4ee6-be82-7bb86c1fc759.json
new file mode 100644
index 000000000..5d8751a69
--- /dev/null
+++ b/data/hfopenllm_v2/Triangle104/Minerva-1.5b_V0.2/138e6fdb-7092-4ee6-be82-7bb86c1fc759.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Triangle104_Minerva-1.5b_V0.2/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Minerva-1.5b_V0.2",
+    "id": "Triangle104/Minerva-1.5b_V0.2",
+    "developer": "Triangle104",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 1.777
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3083
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3989
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.114
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2852
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.396
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2911
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Triangle104/Minerva-1.5b_V0.2/fc5be34b-0fad-4fce-9df1-851e4fd3119d.json b/data/hfopenllm_v2/Triangle104/Minerva-1.5b_V0.2/fc5be34b-0fad-4fce-9df1-851e4fd3119d.json
deleted file mode 100644
index 395a0240f..000000000
--- a/data/hfopenllm_v2/Triangle104/Minerva-1.5b_V0.2/fc5be34b-0fad-4fce-9df1-851e4fd3119d.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Triangle104_Minerva-1.5b_V0.2/1762652579.928302",
-  "retrieved_timestamp": "1762652579.928303",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Triangle104/Minerva-1.5b_V0.2",
-    "developer": "Triangle104",
-    "inference_platform": "unknown",
-    "id": "Triangle104/Minerva-1.5b_V0.2",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 1.777
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3083474071020448
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3989042137094949
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11404833836858005
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.28523489932885904
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3960104166666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.29105718085106386
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Triangle104/Minerva-10b/1b27423f-62cc-4189-a293-5af84ef1f2c8.json b/data/hfopenllm_v2/Triangle104/Minerva-10b/1b27423f-62cc-4189-a293-5af84ef1f2c8.json
new file mode 100644
index 000000000..90b1e2629
--- /dev/null
+++ b/data/hfopenllm_v2/Triangle104/Minerva-10b/1b27423f-62cc-4189-a293-5af84ef1f2c8.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Triangle104_Minerva-10b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Minerva-10b",
+    "id": "Triangle104/Minerva-10b",
+    "developer": "Triangle104",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 10.067
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1879
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4462
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.281
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3627
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2318
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Triangle104/Minerva-10b/848ac6f9-2bb5-48fe-821a-83f28da91f92.json b/data/hfopenllm_v2/Triangle104/Minerva-10b/848ac6f9-2bb5-48fe-821a-83f28da91f92.json
deleted file mode 100644
index 162f26fbd..000000000
--- a/data/hfopenllm_v2/Triangle104/Minerva-10b/848ac6f9-2bb5-48fe-821a-83f28da91f92.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Triangle104_Minerva-10b/1762652579.928542",
-  "retrieved_timestamp": "1762652579.928543",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Triangle104/Minerva-10b",
-    "developer": "Triangle104",
-    "inference_platform": "unknown",
-    "id": "Triangle104/Minerva-10b",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 10.067
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1878715142488597
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4462036157096501
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.0
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.28104026845637586
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.36270833333333335
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.23179853723404256
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Triangle104/Minerva-14b-V0.1/f5468512-d2c7-4486-9d31-bef61225af52.json b/data/hfopenllm_v2/Triangle104/Minerva-14b-V0.1/f5468512-d2c7-4486-9d31-bef61225af52.json
new file mode 100644
index 000000000..4c579dddf
--- /dev/null
+++ b/data/hfopenllm_v2/Triangle104/Minerva-14b-V0.1/f5468512-d2c7-4486-9d31-bef61225af52.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Triangle104_Minerva-14b-V0.1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Minerva-14b-V0.1",
+    "id": "Triangle104/Minerva-14b-V0.1",
+    "developer": "Triangle104",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.77
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0861
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.609
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3051
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3658
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.47
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5118
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Triangle104/Minerva-14b-V0.1/fc4971f4-983d-40f9-810a-16ed998c1dad.json b/data/hfopenllm_v2/Triangle104/Minerva-14b-V0.1/fc4971f4-983d-40f9-810a-16ed998c1dad.json
deleted file mode 100644
index 5f6b032a4..000000000
--- a/data/hfopenllm_v2/Triangle104/Minerva-14b-V0.1/fc4971f4-983d-40f9-810a-16ed998c1dad.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Triangle104_Minerva-14b-V0.1/1762652579.92906",
-  "retrieved_timestamp": "1762652579.9290612",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Triangle104/Minerva-14b-V0.1",
-    "developer": "Triangle104",
-    "inference_platform": "unknown",
-    "id": "Triangle104/Minerva-14b-V0.1",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 14.77
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.0861292481726264
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6089792638423274
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30513595166163143
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.36577181208053694
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.47002083333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5118018617021277
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Triangle104/Minerva-14b/0e0ec1a9-76aa-4d7e-9c0e-946d6b000a6a.json b/data/hfopenllm_v2/Triangle104/Minerva-14b/0e0ec1a9-76aa-4d7e-9c0e-946d6b000a6a.json
new file mode 100644
index 000000000..814ca6f10
--- /dev/null
+++ b/data/hfopenllm_v2/Triangle104/Minerva-14b/0e0ec1a9-76aa-4d7e-9c0e-946d6b000a6a.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Triangle104_Minerva-14b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Minerva-14b",
+    "id": "Triangle104/Minerva-14b",
+    "developer": "Triangle104",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.77
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3468
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6301
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3051
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3742
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4766
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5194
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Triangle104/Minerva-14b/54093f2d-15c3-465e-b876-5e4027deeb19.json b/data/hfopenllm_v2/Triangle104/Minerva-14b/54093f2d-15c3-465e-b876-5e4027deeb19.json
deleted file mode 100644
index 587fa9c42..000000000
--- a/data/hfopenllm_v2/Triangle104/Minerva-14b/54093f2d-15c3-465e-b876-5e4027deeb19.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Triangle104_Minerva-14b/1762652579.928819",
-  "retrieved_timestamp": "1762652579.928819",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Triangle104/Minerva-14b",
-    "developer": "Triangle104",
-    "inference_platform": "unknown",
-    "id": "Triangle104/Minerva-14b",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 14.77
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3467898509288687
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6300829439447851
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30513595166163143
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37416107382550334
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.476625
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5193650265957447
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Triangle104/Minerva-7b/07b87b98-0d61-4479-937f-7447565b4631.json b/data/hfopenllm_v2/Triangle104/Minerva-7b/07b87b98-0d61-4479-937f-7447565b4631.json
new file mode 100644
index 000000000..6e62d362b
--- /dev/null
+++ b/data/hfopenllm_v2/Triangle104/Minerva-7b/07b87b98-0d61-4479-937f-7447565b4631.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Triangle104_Minerva-7b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Minerva-7b",
+    "id": "Triangle104/Minerva-7b",
+    "developer": "Triangle104",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3724
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5498
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.284
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.323
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4143
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4444
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Triangle104/Minerva-7b/aad7ed5c-d51d-46d7-af15-9c0447a02036.json b/data/hfopenllm_v2/Triangle104/Minerva-7b/aad7ed5c-d51d-46d7-af15-9c0447a02036.json
deleted file mode 100644
index 86beb4585..000000000
--- a/data/hfopenllm_v2/Triangle104/Minerva-7b/aad7ed5c-d51d-46d7-af15-9c0447a02036.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Triangle104_Minerva-7b/1762652579.929375",
-  "retrieved_timestamp": "1762652579.929377",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Triangle104/Minerva-7b",
-    "developer": "Triangle104",
-    "inference_platform": "unknown",
-    "id": "Triangle104/Minerva-7b",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.616
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3724196243744376
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5498400501314606
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.283987915407855
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.32298657718120805
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4143333333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.44439827127659576
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Triangle104/Minerva-8b/08cc58ae-b1dc-489c-ba25-338bb11db2ee.json b/data/hfopenllm_v2/Triangle104/Minerva-8b/08cc58ae-b1dc-489c-ba25-338bb11db2ee.json
deleted file mode 100644
index 7f0632d25..000000000
--- a/data/hfopenllm_v2/Triangle104/Minerva-8b/08cc58ae-b1dc-489c-ba25-338bb11db2ee.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Triangle104_Minerva-8b/1762652579.9296892",
-  "retrieved_timestamp": "1762652579.9296901",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Triangle104/Minerva-8b",
-    "developer": "Triangle104",
-    "inference_platform": "unknown",
-    "id": "Triangle104/Minerva-8b",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.248
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.17208451353519771
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.46686093526780637
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.004531722054380665
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.31208053691275167
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4272916666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30892619680851063
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Triangle104/Minerva-8b/85b11b91-d686-49e9-8db0-971dd7cafb75.json b/data/hfopenllm_v2/Triangle104/Minerva-8b/85b11b91-d686-49e9-8db0-971dd7cafb75.json
new file mode 100644
index 000000000..fa931f160
--- /dev/null
+++ b/data/hfopenllm_v2/Triangle104/Minerva-8b/85b11b91-d686-49e9-8db0-971dd7cafb75.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Triangle104_Minerva-8b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Minerva-8b",
+    "id": "Triangle104/Minerva-8b",
+    "developer": "Triangle104",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.248
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1721
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4669
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0045
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3121
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4273
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3089
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Triangle104/Mistral-Redemption-Arc/21bac032-a092-4afa-8d29-ebdefb3a0650.json b/data/hfopenllm_v2/Triangle104/Mistral-Redemption-Arc/21bac032-a092-4afa-8d29-ebdefb3a0650.json
new file mode 100644
index 000000000..5d71ad3d3
--- /dev/null
+++ b/data/hfopenllm_v2/Triangle104/Mistral-Redemption-Arc/21bac032-a092-4afa-8d29-ebdefb3a0650.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Triangle104_Mistral-Redemption-Arc/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Mistral-Redemption-Arc",
+    "id": "Triangle104/Mistral-Redemption-Arc",
+    "developer": "Triangle104",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 23.572
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4029
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6255
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4101
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3473
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4595
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.451
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Triangle104/Mistral-Small-24b-Harmony/29e3a687-429f-4f33-ae5f-48db85127364.json b/data/hfopenllm_v2/Triangle104/Mistral-Small-24b-Harmony/29e3a687-429f-4f33-ae5f-48db85127364.json
new file mode 100644
index 000000000..9760eb31d
--- /dev/null
+++ b/data/hfopenllm_v2/Triangle104/Mistral-Small-24b-Harmony/29e3a687-429f-4f33-ae5f-48db85127364.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Triangle104_Mistral-Small-24b-Harmony/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Mistral-Small-24b-Harmony",
+    "id": "Triangle104/Mistral-Small-24b-Harmony",
+    "developer": "Triangle104",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 23.572
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1687
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6434
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1911
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3842
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4276
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5431
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Triangle104/Pans_Gutenbergum_V0.1/2a6af60c-eb46-46ae-8140-d050b48069ae.json b/data/hfopenllm_v2/Triangle104/Pans_Gutenbergum_V0.1/2a6af60c-eb46-46ae-8140-d050b48069ae.json
deleted file mode 100644
index 0fb2b5fdf..000000000
--- a/data/hfopenllm_v2/Triangle104/Pans_Gutenbergum_V0.1/2a6af60c-eb46-46ae-8140-d050b48069ae.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Triangle104_Pans_Gutenbergum_V0.1/1762652579.9304042",
-  "retrieved_timestamp": "1762652579.9304051",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Triangle104/Pans_Gutenbergum_V0.1",
-    "developer": "Triangle104",
-    "inference_platform": "unknown",
-    "id": "Triangle104/Pans_Gutenbergum_V0.1",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 12.248
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.309696050922663
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5541091780465247
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.10574018126888217
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.32298657718120805
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4528125
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3696808510638298
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Triangle104/Pans_Gutenbergum_V0.1/d98493a6-f237-4565-8508-9e4cc3188d2d.json b/data/hfopenllm_v2/Triangle104/Pans_Gutenbergum_V0.1/d98493a6-f237-4565-8508-9e4cc3188d2d.json
new file mode 100644
index 000000000..6cd483d58
--- /dev/null
+++ b/data/hfopenllm_v2/Triangle104/Pans_Gutenbergum_V0.1/d98493a6-f237-4565-8508-9e4cc3188d2d.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Triangle104_Pans_Gutenbergum_V0.1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Pans_Gutenbergum_V0.1",
+    "id": "Triangle104/Pans_Gutenbergum_V0.1",
+    "developer": "Triangle104",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 12.248
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3097
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5541
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1057
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.323
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4528
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3697
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Triangle104/Pans_Gutenbergum_V0.2/2def6fbd-7488-4e9f-a822-2405d4f7a315.json b/data/hfopenllm_v2/Triangle104/Pans_Gutenbergum_V0.2/2def6fbd-7488-4e9f-a822-2405d4f7a315.json
new file mode 100644
index 000000000..9dd3b30ff
--- /dev/null
+++ b/data/hfopenllm_v2/Triangle104/Pans_Gutenbergum_V0.2/2def6fbd-7488-4e9f-a822-2405d4f7a315.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Triangle104_Pans_Gutenbergum_V0.2/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Pans_Gutenbergum_V0.2",
+    "id": "Triangle104/Pans_Gutenbergum_V0.2",
+    "developer": "Triangle104",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 12.248
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3215
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5526
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0687
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3121
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4673
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3585
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Triangle104/Pans_Gutenbergum_V0.2/f9eef8a7-1f23-46f1-b57a-062ffd1b81a1.json b/data/hfopenllm_v2/Triangle104/Pans_Gutenbergum_V0.2/f9eef8a7-1f23-46f1-b57a-062ffd1b81a1.json
deleted file mode 100644
index 74aedd79d..000000000
--- a/data/hfopenllm_v2/Triangle104/Pans_Gutenbergum_V0.2/f9eef8a7-1f23-46f1-b57a-062ffd1b81a1.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Triangle104_Pans_Gutenbergum_V0.2/1762652579.93062",
-  "retrieved_timestamp": "1762652579.930621",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Triangle104/Pans_Gutenbergum_V0.2",
-    "developer": "Triangle104",
-    "inference_platform": "unknown",
-    "id": "Triangle104/Pans_Gutenbergum_V0.2",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 12.248
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3215113676157041
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.55257930562769
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.06873111782477341
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.31208053691275167
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.46732291666666664
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3585438829787234
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Triangle104/Pantheon_ChatWaifu_V0.2/819143d4-9538-48b9-b7af-128bc15c518a.json b/data/hfopenllm_v2/Triangle104/Pantheon_ChatWaifu_V0.2/819143d4-9538-48b9-b7af-128bc15c518a.json
new file mode 100644
index 000000000..643b17008
--- /dev/null
+++ b/data/hfopenllm_v2/Triangle104/Pantheon_ChatWaifu_V0.2/819143d4-9538-48b9-b7af-128bc15c518a.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Triangle104_Pantheon_ChatWaifu_V0.2/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Pantheon_ChatWaifu_V0.2",
+    "id": "Triangle104/Pantheon_ChatWaifu_V0.2",
+    "developer": "Triangle104",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 12.248
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2683
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5532
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0566
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.318
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4755
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3442
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Triangle104/Pantheon_ChatWaifu_V0.2/b57a86fa-8994-4004-a79d-d6da64e64b4d.json b/data/hfopenllm_v2/Triangle104/Pantheon_ChatWaifu_V0.2/b57a86fa-8994-4004-a79d-d6da64e64b4d.json
deleted file mode 100644
index 6812998bc..000000000
--- a/data/hfopenllm_v2/Triangle104/Pantheon_ChatWaifu_V0.2/b57a86fa-8994-4004-a79d-d6da64e64b4d.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Triangle104_Pantheon_ChatWaifu_V0.2/1762652579.930828",
-  "retrieved_timestamp": "1762652579.930829",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Triangle104/Pantheon_ChatWaifu_V0.2",
-    "developer": "Triangle104",
-    "inference_platform": "unknown",
-    "id": "Triangle104/Pantheon_ChatWaifu_V0.2",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 12.248
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2682803849341968
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5531574435698693
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.05664652567975831
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3179530201342282
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.47551041666666666
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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diff --git a/data/hfopenllm_v2/Triangle104/Phi-4-AbliteratedRP/c29d47af-a9de-4edb-acac-6763c0d44ca3.json b/data/hfopenllm_v2/Triangle104/Phi-4-AbliteratedRP/c29d47af-a9de-4edb-acac-6763c0d44ca3.json
new file mode 100644
index 000000000..b786d9979
--- /dev/null
+++ b/data/hfopenllm_v2/Triangle104/Phi-4-AbliteratedRP/c29d47af-a9de-4edb-acac-6763c0d44ca3.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Triangle104_Phi-4-AbliteratedRP/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Phi-4-AbliteratedRP",
+    "id": "Triangle104/Phi-4-AbliteratedRP",
+    "developer": "Triangle104",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Phi3ForCausalLM",
+      "params_billions": 14.66
+    }
+  },
+  "evaluation_results": [
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+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+      }
+    },
+    {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+        "hf_repo": "Idavidrein/gpqa"
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
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+        "min_score": 0.0,
+        "max_score": 1.0
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+        "score": 0.5308
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Triangle104/Phi4-RP-o1-Ablit/22bf3fb7-9235-4a57-b8fd-c85b12047b0e.json b/data/hfopenllm_v2/Triangle104/Phi4-RP-o1-Ablit/22bf3fb7-9235-4a57-b8fd-c85b12047b0e.json
new file mode 100644
index 000000000..82381bf4b
--- /dev/null
+++ b/data/hfopenllm_v2/Triangle104/Phi4-RP-o1-Ablit/22bf3fb7-9235-4a57-b8fd-c85b12047b0e.json
@@ -0,0 +1,132 @@
+{
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+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Phi4-RP-o1-Ablit",
+    "id": "Triangle104/Phi4-RP-o1-Ablit",
+    "developer": "Triangle104",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 14.66
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.663
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4754
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5105
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Triangle104/Phi4-RP-o1/2bea7014-460d-470b-918f-468b58d70fd6.json b/data/hfopenllm_v2/Triangle104/Phi4-RP-o1/2bea7014-460d-470b-918f-468b58d70fd6.json
new file mode 100644
index 000000000..49827c7aa
--- /dev/null
+++ b/data/hfopenllm_v2/Triangle104/Phi4-RP-o1/2bea7014-460d-470b-918f-468b58d70fd6.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Triangle104_Phi4-RP-o1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Phi4-RP-o1",
+    "id": "Triangle104/Phi4-RP-o1",
+    "developer": "Triangle104",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 14.66
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.022
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6653
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3776
+      }
+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3733
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4756
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Triangle104/Porpoise-R1-Llama3.2-3b/3927a5dd-002b-441a-b769-ba68547cd5f3.json b/data/hfopenllm_v2/Triangle104/Porpoise-R1-Llama3.2-3b/3927a5dd-002b-441a-b769-ba68547cd5f3.json
new file mode 100644
index 000000000..341da9ea4
--- /dev/null
+++ b/data/hfopenllm_v2/Triangle104/Porpoise-R1-Llama3.2-3b/3927a5dd-002b-441a-b769-ba68547cd5f3.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Triangle104_Porpoise-R1-Llama3.2-3b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Porpoise-R1-Llama3.2-3b",
+    "id": "Triangle104/Porpoise-R1-Llama3.2-3b",
+    "developer": "Triangle104",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 3.213
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4352
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3824
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0423
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2668
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3576
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2117
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Triangle104/Q2.5-14B-Instruct-1M-Harmony/1cf0506b-dbdd-4f7e-abf5-d812763a722e.json b/data/hfopenllm_v2/Triangle104/Q2.5-14B-Instruct-1M-Harmony/1cf0506b-dbdd-4f7e-abf5-d812763a722e.json
deleted file mode 100644
index d8249e1a7..000000000
--- a/data/hfopenllm_v2/Triangle104/Q2.5-14B-Instruct-1M-Harmony/1cf0506b-dbdd-4f7e-abf5-d812763a722e.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/Triangle104_Q2.5-14B-Instruct-1M-Harmony/1762652579.93199",
-  "retrieved_timestamp": "1762652579.931991",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Triangle104/Q2.5-14B-Instruct-1M-Harmony",
-    "developer": "Triangle104",
-    "inference_platform": "unknown",
-    "id": "Triangle104/Q2.5-14B-Instruct-1M-Harmony",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 14.77
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5986327389105351
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6338808682301471
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3768882175226586
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.375
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4795416666666667
-      }
-    },
-    {
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-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-      "score_details": {
-        "score": 0.5074800531914894
-      }
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diff --git a/data/hfopenllm_v2/Triangle104/Q2.5-14B-Instruct-1M-Harmony/476fc734-dedd-4192-aa59-eb2f9dabf16b.json b/data/hfopenllm_v2/Triangle104/Q2.5-14B-Instruct-1M-Harmony/476fc734-dedd-4192-aa59-eb2f9dabf16b.json
new file mode 100644
index 000000000..b32ca4aa3
--- /dev/null
+++ b/data/hfopenllm_v2/Triangle104/Q2.5-14B-Instruct-1M-Harmony/476fc734-dedd-4192-aa59-eb2f9dabf16b.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Triangle104_Q2.5-14B-Instruct-1M-Harmony/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Q2.5-14B-Instruct-1M-Harmony",
+    "id": "Triangle104/Q2.5-14B-Instruct-1M-Harmony",
+    "developer": "Triangle104",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.77
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5986
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6339
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3769
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.375
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4795
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5075
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Triangle104/Q2.5-AthensCOT/54a29a68-c69a-4b49-a87a-cb93c459146a.json b/data/hfopenllm_v2/Triangle104/Q2.5-AthensCOT/54a29a68-c69a-4b49-a87a-cb93c459146a.json
deleted file mode 100644
index 389cdfa34..000000000
--- a/data/hfopenllm_v2/Triangle104/Q2.5-AthensCOT/54a29a68-c69a-4b49-a87a-cb93c459146a.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Triangle104_Q2.5-AthensCOT/1762652579.9322",
-  "retrieved_timestamp": "1762652579.932201",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Triangle104/Q2.5-AthensCOT",
-    "developer": "Triangle104",
-    "inference_platform": "unknown",
-    "id": "Triangle104/Q2.5-AthensCOT",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.616
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.45727447616767947
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5541692533534606
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.29154078549848944
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30033557046979864
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4578333333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4379155585106383
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Triangle104/Q2.5-AthensCOT/817e2fbe-0866-489f-b987-391228a68c53.json b/data/hfopenllm_v2/Triangle104/Q2.5-AthensCOT/817e2fbe-0866-489f-b987-391228a68c53.json
new file mode 100644
index 000000000..46f11cded
--- /dev/null
+++ b/data/hfopenllm_v2/Triangle104/Q2.5-AthensCOT/817e2fbe-0866-489f-b987-391228a68c53.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Triangle104_Q2.5-AthensCOT/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Q2.5-AthensCOT",
+    "id": "Triangle104/Q2.5-AthensCOT",
+    "developer": "Triangle104",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4573
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5542
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2915
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3003
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4578
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4379
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Triangle104/Q2.5-CodeR1-3B/74342d21-8eac-494c-95b9-4df1e828473b.json b/data/hfopenllm_v2/Triangle104/Q2.5-CodeR1-3B/74342d21-8eac-494c-95b9-4df1e828473b.json
deleted file mode 100644
index f1df0ea9e..000000000
--- a/data/hfopenllm_v2/Triangle104/Q2.5-CodeR1-3B/74342d21-8eac-494c-95b9-4df1e828473b.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Triangle104_Q2.5-CodeR1-3B/1762652579.932402",
-  "retrieved_timestamp": "1762652579.9324028",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Triangle104/Q2.5-CodeR1-3B",
-    "developer": "Triangle104",
-    "inference_platform": "unknown",
-    "id": "Triangle104/Q2.5-CodeR1-3B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 3.085
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.35875587884590665
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4660844324968853
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.16389728096676737
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3036912751677852
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.43154166666666666
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2978723404255319
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Triangle104/Q2.5-CodeR1-3B/f25f5eb1-ff22-4be3-a639-a9d25207078f.json b/data/hfopenllm_v2/Triangle104/Q2.5-CodeR1-3B/f25f5eb1-ff22-4be3-a639-a9d25207078f.json
new file mode 100644
index 000000000..61a0bc9d8
--- /dev/null
+++ b/data/hfopenllm_v2/Triangle104/Q2.5-CodeR1-3B/f25f5eb1-ff22-4be3-a639-a9d25207078f.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Triangle104_Q2.5-CodeR1-3B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Q2.5-CodeR1-3B",
+    "id": "Triangle104/Q2.5-CodeR1-3B",
+    "developer": "Triangle104",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 3.085
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3588
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4661
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1639
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3037
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4315
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2979
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Triangle104/Q2.5-EVACOT-7b/972dfbcf-a5d0-4f9f-a39c-089c30ac91ab.json b/data/hfopenllm_v2/Triangle104/Q2.5-EVACOT-7b/972dfbcf-a5d0-4f9f-a39c-089c30ac91ab.json
deleted file mode 100644
index 039597fe6..000000000
--- a/data/hfopenllm_v2/Triangle104/Q2.5-EVACOT-7b/972dfbcf-a5d0-4f9f-a39c-089c30ac91ab.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Triangle104_Q2.5-EVACOT-7b/1762652579.9326148",
-  "retrieved_timestamp": "1762652579.932616",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Triangle104/Q2.5-EVACOT-7b",
-    "developer": "Triangle104",
-    "inference_platform": "unknown",
-    "id": "Triangle104/Q2.5-EVACOT-7b",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.616
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5784241368457914
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5505524946794311
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2824773413897281
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3179530201342282
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4498645833333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.43309507978723405
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Triangle104/Q2.5-EVACOT-7b/f71d1c31-184b-46be-a288-bdc92f0ebe09.json b/data/hfopenllm_v2/Triangle104/Q2.5-EVACOT-7b/f71d1c31-184b-46be-a288-bdc92f0ebe09.json
new file mode 100644
index 000000000..2603a2922
--- /dev/null
+++ b/data/hfopenllm_v2/Triangle104/Q2.5-EVACOT-7b/f71d1c31-184b-46be-a288-bdc92f0ebe09.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Triangle104_Q2.5-EVACOT-7b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Q2.5-EVACOT-7b",
+    "id": "Triangle104/Q2.5-EVACOT-7b",
+    "developer": "Triangle104",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5784
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5506
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2825
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.318
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4499
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4331
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Triangle104/Q2.5-EvaHumane-RP/0d9547b3-7bef-4815-9c44-7d714fe81bbb.json b/data/hfopenllm_v2/Triangle104/Q2.5-EvaHumane-RP/0d9547b3-7bef-4815-9c44-7d714fe81bbb.json
new file mode 100644
index 000000000..356d6f7ee
--- /dev/null
+++ b/data/hfopenllm_v2/Triangle104/Q2.5-EvaHumane-RP/0d9547b3-7bef-4815-9c44-7d714fe81bbb.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Triangle104_Q2.5-EvaHumane-RP/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Q2.5-EvaHumane-RP",
+    "id": "Triangle104/Q2.5-EvaHumane-RP",
+    "developer": "Triangle104",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3676
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5328
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2923
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3188
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4276
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4412
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Triangle104/Q2.5-EvaHumane-RP/5146b3c9-9fdb-4a4e-a687-4bcf44b92309.json b/data/hfopenllm_v2/Triangle104/Q2.5-EvaHumane-RP/5146b3c9-9fdb-4a4e-a687-4bcf44b92309.json
deleted file mode 100644
index 20f5ae820..000000000
--- a/data/hfopenllm_v2/Triangle104/Q2.5-EvaHumane-RP/5146b3c9-9fdb-4a4e-a687-4bcf44b92309.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Triangle104_Q2.5-EvaHumane-RP/1762652579.932837",
-  "retrieved_timestamp": "1762652579.932837",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Triangle104/Q2.5-EvaHumane-RP",
-    "developer": "Triangle104",
-    "inference_platform": "unknown",
-    "id": "Triangle104/Q2.5-EvaHumane-RP",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.616
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3676234613048932
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5328196297646768
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.29229607250755285
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3187919463087248
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42763541666666666
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4412400265957447
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Triangle104/Q2.5-Humane-RP/22dbc5a2-0ff6-4566-9bfd-e5ce314be597.json b/data/hfopenllm_v2/Triangle104/Q2.5-Humane-RP/22dbc5a2-0ff6-4566-9bfd-e5ce314be597.json
new file mode 100644
index 000000000..99a18a092
--- /dev/null
+++ b/data/hfopenllm_v2/Triangle104/Q2.5-Humane-RP/22dbc5a2-0ff6-4566-9bfd-e5ce314be597.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Triangle104_Q2.5-Humane-RP/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Q2.5-Humane-RP",
+    "id": "Triangle104/Q2.5-Humane-RP",
+    "developer": "Triangle104",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4412
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5649
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3391
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3188
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4528
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4492
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Triangle104/Q2.5-Humane-RP/697ad115-9040-42e4-b94b-529ab27011ee.json b/data/hfopenllm_v2/Triangle104/Q2.5-Humane-RP/697ad115-9040-42e4-b94b-529ab27011ee.json
deleted file mode 100644
index dcefd80c8..000000000
--- a/data/hfopenllm_v2/Triangle104/Q2.5-Humane-RP/697ad115-9040-42e4-b94b-529ab27011ee.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Triangle104_Q2.5-Humane-RP/1762652579.933056",
-  "retrieved_timestamp": "1762652579.933057",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Triangle104/Q2.5-Humane-RP",
-    "developer": "Triangle104",
-    "inference_platform": "unknown",
-    "id": "Triangle104/Q2.5-Humane-RP",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.616
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4411627814199657
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5649289292164736
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3391238670694864
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3187919463087248
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4528125
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.44921875
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Triangle104/Q2.5-Instruct-1M_Harmony/afedb249-f1a5-42d6-b6c0-54b2cc303f64.json b/data/hfopenllm_v2/Triangle104/Q2.5-Instruct-1M_Harmony/afedb249-f1a5-42d6-b6c0-54b2cc303f64.json
new file mode 100644
index 000000000..cd9816ee7
--- /dev/null
+++ b/data/hfopenllm_v2/Triangle104/Q2.5-Instruct-1M_Harmony/afedb249-f1a5-42d6-b6c0-54b2cc303f64.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Triangle104_Q2.5-Instruct-1M_Harmony/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Q2.5-Instruct-1M_Harmony",
+    "id": "Triangle104/Q2.5-Instruct-1M_Harmony",
+    "developer": "Triangle104",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6038
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5373
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3323
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.323
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4688
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4366
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Triangle104/Q2.5-Instruct-1M_Harmony/f4cbe998-8c9f-47c1-a267-5831a40e4cf2.json b/data/hfopenllm_v2/Triangle104/Q2.5-Instruct-1M_Harmony/f4cbe998-8c9f-47c1-a267-5831a40e4cf2.json
deleted file mode 100644
index b65ac22cd..000000000
--- a/data/hfopenllm_v2/Triangle104/Q2.5-Instruct-1M_Harmony/f4cbe998-8c9f-47c1-a267-5831a40e4cf2.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Triangle104_Q2.5-Instruct-1M_Harmony/1762652579.933266",
-  "retrieved_timestamp": "1762652579.9332669",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Triangle104/Q2.5-Instruct-1M_Harmony",
-    "developer": "Triangle104",
-    "inference_platform": "unknown",
-    "id": "Triangle104/Q2.5-Instruct-1M_Harmony",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.616
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6038034636985421
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5373243549676157
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3323262839879154
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.32298657718120805
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.46878125
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.43658577127659576
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Triangle104/Q2.5-R1-3B/61b1bf5e-6aa4-4e90-af2c-dcf5fc9903f2.json b/data/hfopenllm_v2/Triangle104/Q2.5-R1-3B/61b1bf5e-6aa4-4e90-af2c-dcf5fc9903f2.json
new file mode 100644
index 000000000..7e4fafbbe
--- /dev/null
+++ b/data/hfopenllm_v2/Triangle104/Q2.5-R1-3B/61b1bf5e-6aa4-4e90-af2c-dcf5fc9903f2.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Triangle104_Q2.5-R1-3B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Q2.5-R1-3B",
+    "id": "Triangle104/Q2.5-R1-3B",
+    "developer": "Triangle104",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 3.085
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4214
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4812
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2674
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3096
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.432
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3813
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Triangle104/Q2.5-R1-3B/a4e4a936-5203-4a9d-a698-417cc9da866f.json b/data/hfopenllm_v2/Triangle104/Q2.5-R1-3B/a4e4a936-5203-4a9d-a698-417cc9da866f.json
deleted file mode 100644
index 547e08d43..000000000
--- a/data/hfopenllm_v2/Triangle104/Q2.5-R1-3B/a4e4a936-5203-4a9d-a698-417cc9da866f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Triangle104_Q2.5-R1-3B/1762652579.933473",
-  "retrieved_timestamp": "1762652579.933474",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Triangle104/Q2.5-R1-3B",
-    "developer": "Triangle104",
-    "inference_platform": "unknown",
-    "id": "Triangle104/Q2.5-R1-3B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 3.085
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4213542290012722
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.48124304786769817
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2673716012084592
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30956375838926176
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.43197916666666664
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.38131648936170215
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Triangle104/Q2.5-R1-7B/302fa968-5d2d-4750-a1e6-c87534c1eafa.json b/data/hfopenllm_v2/Triangle104/Q2.5-R1-7B/302fa968-5d2d-4750-a1e6-c87534c1eafa.json
deleted file mode 100644
index 2bc4e69de..000000000
--- a/data/hfopenllm_v2/Triangle104/Q2.5-R1-7B/302fa968-5d2d-4750-a1e6-c87534c1eafa.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Triangle104_Q2.5-R1-7B/1762652579.933674",
-  "retrieved_timestamp": "1762652579.933675",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Triangle104/Q2.5-R1-7B",
-    "developer": "Triangle104",
-    "inference_platform": "unknown",
-    "id": "Triangle104/Q2.5-R1-7B",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.613
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1346150436397647
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30065625818799685
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.01661631419939577
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2525167785234899
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3607291666666666
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1180186170212766
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Triangle104/Q2.5-R1-7B/c0adc04c-1e02-4891-a5a1-1fab0ddf18ca.json b/data/hfopenllm_v2/Triangle104/Q2.5-R1-7B/c0adc04c-1e02-4891-a5a1-1fab0ddf18ca.json
new file mode 100644
index 000000000..7d190bdde
--- /dev/null
+++ b/data/hfopenllm_v2/Triangle104/Q2.5-R1-7B/c0adc04c-1e02-4891-a5a1-1fab0ddf18ca.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Triangle104_Q2.5-R1-7B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Q2.5-R1-7B",
+    "id": "Triangle104/Q2.5-R1-7B",
+    "developer": "Triangle104",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.613
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1346
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3007
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0166
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2525
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3607
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.118
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Triangle104/Robo-Gutenberg_V1.0/cc57e6f0-ab55-4ab9-983c-63d74632d016.json b/data/hfopenllm_v2/Triangle104/Robo-Gutenberg_V1.0/cc57e6f0-ab55-4ab9-983c-63d74632d016.json
new file mode 100644
index 000000000..96cf9ac6e
--- /dev/null
+++ b/data/hfopenllm_v2/Triangle104/Robo-Gutenberg_V1.0/cc57e6f0-ab55-4ab9-983c-63d74632d016.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Triangle104_Robo-Gutenberg_V1.0/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Robo-Gutenberg_V1.0",
+    "id": "Triangle104/Robo-Gutenberg_V1.0",
+    "developer": "Triangle104",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.77
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6008
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6537
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4562
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3859
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4744
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5391
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Triangle104/Robo-Gutenberg_V1.0/d891d79a-1ec2-44e3-83cd-c28739aecd6e.json b/data/hfopenllm_v2/Triangle104/Robo-Gutenberg_V1.0/d891d79a-1ec2-44e3-83cd-c28739aecd6e.json
deleted file mode 100644
index 11b18fd1c..000000000
--- a/data/hfopenllm_v2/Triangle104/Robo-Gutenberg_V1.0/d891d79a-1ec2-44e3-83cd-c28739aecd6e.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Triangle104_Robo-Gutenberg_V1.0/1762652579.9338748",
-  "retrieved_timestamp": "1762652579.933876",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Triangle104/Robo-Gutenberg_V1.0",
-    "developer": "Triangle104",
-    "inference_platform": "unknown",
-    "id": "Triangle104/Robo-Gutenberg_V1.0",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 14.77
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6007559940956662
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.653716560941194
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4561933534743202
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3859060402684564
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.47436458333333337
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5391456117021277
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Triangle104/Rocinante-Prism_V2.0/0d3c5fdb-c4a5-4436-b9d4-f0f42cb4db96.json b/data/hfopenllm_v2/Triangle104/Rocinante-Prism_V2.0/0d3c5fdb-c4a5-4436-b9d4-f0f42cb4db96.json
new file mode 100644
index 000000000..670f07b44
--- /dev/null
+++ b/data/hfopenllm_v2/Triangle104/Rocinante-Prism_V2.0/0d3c5fdb-c4a5-4436-b9d4-f0f42cb4db96.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Triangle104_Rocinante-Prism_V2.0/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Rocinante-Prism_V2.0",
+    "id": "Triangle104/Rocinante-Prism_V2.0",
+    "developer": "Triangle104",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 12.248
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2616
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5361
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.111
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3205
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.445
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.364
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Triangle104/Rocinante-Prism_V2.0/9f32b229-a2d5-409b-98d2-65681616aff4.json b/data/hfopenllm_v2/Triangle104/Rocinante-Prism_V2.0/9f32b229-a2d5-409b-98d2-65681616aff4.json
deleted file mode 100644
index 4c6885ebc..000000000
--- a/data/hfopenllm_v2/Triangle104/Rocinante-Prism_V2.0/9f32b229-a2d5-409b-98d2-65681616aff4.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Triangle104_Rocinante-Prism_V2.0/1762652579.9340868",
-  "retrieved_timestamp": "1762652579.9340868",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Triangle104/Rocinante-Prism_V2.0",
-    "developer": "Triangle104",
-    "inference_platform": "unknown",
-    "id": "Triangle104/Rocinante-Prism_V2.0",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 12.248
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2616103051015749
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5361246041982355
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11102719033232629
-      }
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-      "evaluation_name": "GPQA",
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-      "score_details": {
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-      "evaluation_name": "MUSR",
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "evaluation_name": "MMLU-PRO",
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-        "lower_is_better": false,
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-        "max_score": 1
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-}
diff --git a/data/hfopenllm_v2/Triangle104/Rocinante-Prism_V2.1/7a93ddc1-8694-4b16-8183-1b7f46dfba92.json b/data/hfopenllm_v2/Triangle104/Rocinante-Prism_V2.1/7a93ddc1-8694-4b16-8183-1b7f46dfba92.json
deleted file mode 100644
index a87d3c9d5..000000000
--- a/data/hfopenllm_v2/Triangle104/Rocinante-Prism_V2.1/7a93ddc1-8694-4b16-8183-1b7f46dfba92.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Triangle104_Rocinante-Prism_V2.1/1762652579.934289",
-  "retrieved_timestamp": "1762652579.93429",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Triangle104/Rocinante-Prism_V2.1",
-    "developer": "Triangle104",
-    "inference_platform": "unknown",
-    "id": "Triangle104/Rocinante-Prism_V2.1",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 12.248
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.25584005992987496
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5332676401860506
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11253776435045318
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3196308724832215
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.44896874999999997
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3651097074468085
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Triangle104/Rocinante-Prism_V2.1/a6ec2934-e9fd-481d-8f00-932603bc6e0a.json b/data/hfopenllm_v2/Triangle104/Rocinante-Prism_V2.1/a6ec2934-e9fd-481d-8f00-932603bc6e0a.json
new file mode 100644
index 000000000..5d588967a
--- /dev/null
+++ b/data/hfopenllm_v2/Triangle104/Rocinante-Prism_V2.1/a6ec2934-e9fd-481d-8f00-932603bc6e0a.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Triangle104_Rocinante-Prism_V2.1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Rocinante-Prism_V2.1",
+    "id": "Triangle104/Rocinante-Prism_V2.1",
+    "developer": "Triangle104",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 12.248
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2558
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5333
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1125
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3196
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.449
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3651
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Triangle104/RomboHermes3-R1-Llama3.2-3b/e2553c93-60df-4126-9e64-ecd4a5003389.json b/data/hfopenllm_v2/Triangle104/RomboHermes3-R1-Llama3.2-3b/e2553c93-60df-4126-9e64-ecd4a5003389.json
new file mode 100644
index 000000000..1d3c45558
--- /dev/null
+++ b/data/hfopenllm_v2/Triangle104/RomboHermes3-R1-Llama3.2-3b/e2553c93-60df-4126-9e64-ecd4a5003389.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Triangle104_RomboHermes3-R1-Llama3.2-3b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "RomboHermes3-R1-Llama3.2-3b",
+    "id": "Triangle104/RomboHermes3-R1-Llama3.2-3b",
+    "developer": "Triangle104",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 3.213
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3007
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4264
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0816
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2836
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3657
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2957
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Triangle104/Rombos-Novasky-7B_V1c/a06dc6ef-5d16-402a-a855-b7feec423aa5.json b/data/hfopenllm_v2/Triangle104/Rombos-Novasky-7B_V1c/a06dc6ef-5d16-402a-a855-b7feec423aa5.json
deleted file mode 100644
index 46e55d331..000000000
--- a/data/hfopenllm_v2/Triangle104/Rombos-Novasky-7B_V1c/a06dc6ef-5d16-402a-a855-b7feec423aa5.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Triangle104_Rombos-Novasky-7B_V1c/1762652579.934721",
-  "retrieved_timestamp": "1762652579.934722",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Triangle104/Rombos-Novasky-7B_V1c",
-    "developer": "Triangle104",
-    "inference_platform": "unknown",
-    "id": "Triangle104/Rombos-Novasky-7B_V1c",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.616
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.40801517750679306
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4349247829177707
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.08534743202416918
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2961409395973154
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.44645833333333335
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.27376994680851063
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Triangle104/Rombos-Novasky-7B_V1c/e7c2fb42-e82a-4dac-9cc3-a9f41ab54e0f.json b/data/hfopenllm_v2/Triangle104/Rombos-Novasky-7B_V1c/e7c2fb42-e82a-4dac-9cc3-a9f41ab54e0f.json
new file mode 100644
index 000000000..d45631435
--- /dev/null
+++ b/data/hfopenllm_v2/Triangle104/Rombos-Novasky-7B_V1c/e7c2fb42-e82a-4dac-9cc3-a9f41ab54e0f.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Triangle104_Rombos-Novasky-7B_V1c/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Rombos-Novasky-7B_V1c",
+    "id": "Triangle104/Rombos-Novasky-7B_V1c",
+    "developer": "Triangle104",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.408
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4349
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0853
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2961
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4465
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2738
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Triangle104/Set-70b/a807ee8c-509e-4b6d-a414-df24444d8a0a.json b/data/hfopenllm_v2/Triangle104/Set-70b/a807ee8c-509e-4b6d-a414-df24444d8a0a.json
new file mode 100644
index 000000000..c29b4d9d5
--- /dev/null
+++ b/data/hfopenllm_v2/Triangle104/Set-70b/a807ee8c-509e-4b6d-a414-df24444d8a0a.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Triangle104_Set-70b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Set-70b",
+    "id": "Triangle104/Set-70b",
+    "developer": "Triangle104",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 70.554
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7643
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7014
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.364
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4463
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4696
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5442
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Triangle104/Set-70b/e25fa684-c237-4bce-8498-7bdfaac970a9.json b/data/hfopenllm_v2/Triangle104/Set-70b/e25fa684-c237-4bce-8498-7bdfaac970a9.json
deleted file mode 100644
index 85e56e470..000000000
--- a/data/hfopenllm_v2/Triangle104/Set-70b/e25fa684-c237-4bce-8498-7bdfaac970a9.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Triangle104_Set-70b/1762652579.934931",
-  "retrieved_timestamp": "1762652579.934931",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Triangle104/Set-70b",
-    "developer": "Triangle104",
-    "inference_platform": "unknown",
-    "id": "Triangle104/Set-70b",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 70.554
-    }
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-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7642954028643998
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-    },
-    {
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-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.70142939330013
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-    },
-    {
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-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4463087248322148
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.46956250000000005
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5442154255319149
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Tsunami-th/Tsunami-0.5-7B-Instruct/2199024b-7944-4950-8335-32a536efad02.json b/data/hfopenllm_v2/Tsunami-th/Tsunami-0.5-7B-Instruct/2199024b-7944-4950-8335-32a536efad02.json
new file mode 100644
index 000000000..8d21eff8a
--- /dev/null
+++ b/data/hfopenllm_v2/Tsunami-th/Tsunami-0.5-7B-Instruct/2199024b-7944-4950-8335-32a536efad02.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Tsunami-th_Tsunami-0.5-7B-Instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Tsunami-0.5-7B-Instruct",
+    "id": "Tsunami-th/Tsunami-0.5-7B-Instruct",
+    "developer": "Tsunami-th",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.74
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5524
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5045
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3087
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4257
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4413
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Tsunami-th/Tsunami-0.5-7B-Instruct/df3de449-9abc-4f0a-ba6e-caa48720893a.json b/data/hfopenllm_v2/Tsunami-th/Tsunami-0.5-7B-Instruct/df3de449-9abc-4f0a-ba6e-caa48720893a.json
deleted file mode 100644
index 0f39cdbd3..000000000
--- a/data/hfopenllm_v2/Tsunami-th/Tsunami-0.5-7B-Instruct/df3de449-9abc-4f0a-ba6e-caa48720893a.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Tsunami-th_Tsunami-0.5-7B-Instruct/1762652579.935141",
-  "retrieved_timestamp": "1762652579.9351418",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Tsunami-th/Tsunami-0.5-7B-Instruct",
-    "developer": "Tsunami-th",
-    "inference_platform": "unknown",
-    "id": "Tsunami-th/Tsunami-0.5-7B-Instruct",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.616
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7400153814102137
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.552369427738073
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3087248322147651
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42571875
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.44132313829787234
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Tsunami-th/Tsunami-0.5x-7B-Instruct/97919c86-6161-4548-95b9-d44263a29f8a.json b/data/hfopenllm_v2/Tsunami-th/Tsunami-0.5x-7B-Instruct/97919c86-6161-4548-95b9-d44263a29f8a.json
new file mode 100644
index 000000000..2f1a0d0d7
--- /dev/null
+++ b/data/hfopenllm_v2/Tsunami-th/Tsunami-0.5x-7B-Instruct/97919c86-6161-4548-95b9-d44263a29f8a.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Tsunami-th_Tsunami-0.5x-7B-Instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Tsunami-0.5x-7B-Instruct",
+    "id": "Tsunami-th/Tsunami-0.5x-7B-Instruct",
+    "developer": "Tsunami-th",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7099
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5593
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4207
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3146
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4667
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4458
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Tsunami-th/Tsunami-0.5x-7B-Instruct/fec678b9-c51b-4945-8d4f-f06af6528227.json b/data/hfopenllm_v2/Tsunami-th/Tsunami-0.5x-7B-Instruct/fec678b9-c51b-4945-8d4f-f06af6528227.json
deleted file mode 100644
index 2b4539a22..000000000
--- a/data/hfopenllm_v2/Tsunami-th/Tsunami-0.5x-7B-Instruct/fec678b9-c51b-4945-8d4f-f06af6528227.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Tsunami-th_Tsunami-0.5x-7B-Instruct/1762652579.9353971",
-  "retrieved_timestamp": "1762652579.9353979",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Tsunami-th/Tsunami-0.5x-7B-Instruct",
-    "developer": "Tsunami-th",
-    "inference_platform": "unknown",
-    "id": "Tsunami-th/Tsunami-0.5x-7B-Instruct",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.616
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.709915247099917
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5592865858560252
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4206948640483384
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.46667708333333335
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.44581117021276595
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Tsunami-th/Tsunami-1.0-14B-Instruct/11262698-480b-425b-b013-f362fae2f254.json b/data/hfopenllm_v2/Tsunami-th/Tsunami-1.0-14B-Instruct/11262698-480b-425b-b013-f362fae2f254.json
deleted file mode 100644
index 557f84f3e..000000000
--- a/data/hfopenllm_v2/Tsunami-th/Tsunami-1.0-14B-Instruct/11262698-480b-425b-b013-f362fae2f254.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Tsunami-th_Tsunami-1.0-14B-Instruct/1762652579.935597",
-  "retrieved_timestamp": "1762652579.935597",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
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-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Tsunami-th/Tsunami-1.0-14B-Instruct",
-    "developer": "Tsunami-th",
-    "inference_platform": "unknown",
-    "id": "Tsunami-th/Tsunami-1.0-14B-Instruct",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 14.77
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-    {
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-        "lower_is_better": false,
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-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-    },
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-      "evaluation_name": "MATH Level 5",
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-      "score_details": {
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-    },
-    {
-      "evaluation_name": "GPQA",
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3565436241610738
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.44593750000000004
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5248503989361702
-      }
-    }
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-}
diff --git a/data/hfopenllm_v2/Tsunami-th/Tsunami-1.0-14B-Instruct/c40c1a46-2e30-4cf1-bcf3-a316a793fbcd.json b/data/hfopenllm_v2/Tsunami-th/Tsunami-1.0-14B-Instruct/c40c1a46-2e30-4cf1-bcf3-a316a793fbcd.json
new file mode 100644
index 000000000..640901714
--- /dev/null
+++ b/data/hfopenllm_v2/Tsunami-th/Tsunami-1.0-14B-Instruct/c40c1a46-2e30-4cf1-bcf3-a316a793fbcd.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Tsunami-th_Tsunami-1.0-14B-Instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Tsunami-1.0-14B-Instruct",
+    "id": "Tsunami-th/Tsunami-1.0-14B-Instruct",
+    "developer": "Tsunami-th",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.77
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7829
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6439
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4585
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3565
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4459
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5249
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Tsunami-th/Tsunami-1.0-7B-Instruct/c1294268-b5f5-4d64-b91a-147f58a21a47.json b/data/hfopenllm_v2/Tsunami-th/Tsunami-1.0-7B-Instruct/c1294268-b5f5-4d64-b91a-147f58a21a47.json
new file mode 100644
index 000000000..25c1c6f74
--- /dev/null
+++ b/data/hfopenllm_v2/Tsunami-th/Tsunami-1.0-7B-Instruct/c1294268-b5f5-4d64-b91a-147f58a21a47.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Tsunami-th_Tsunami-1.0-7B-Instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Tsunami-1.0-7B-Instruct",
+    "id": "Tsunami-th/Tsunami-1.0-7B-Instruct",
+    "developer": "Tsunami-th",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7309
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5491
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4335
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3129
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4493
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4424
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Tsunami-th/Tsunami-1.0-7B-Instruct/ccffe03b-c166-48de-8516-8253b2c2f96e.json b/data/hfopenllm_v2/Tsunami-th/Tsunami-1.0-7B-Instruct/ccffe03b-c166-48de-8516-8253b2c2f96e.json
deleted file mode 100644
index 580c109ce..000000000
--- a/data/hfopenllm_v2/Tsunami-th/Tsunami-1.0-7B-Instruct/ccffe03b-c166-48de-8516-8253b2c2f96e.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Tsunami-th_Tsunami-1.0-7B-Instruct/1762652579.9358132",
-  "retrieved_timestamp": "1762652579.9358132",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Tsunami-th/Tsunami-1.0-7B-Instruct",
-    "developer": "Tsunami-th",
-    "inference_platform": "unknown",
-    "id": "Tsunami-th/Tsunami-1.0-7B-Instruct",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.616
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.730872972601586
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.549071195618326
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4335347432024169
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.31291946308724833
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.44928125
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4424035904255319
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/UCLA-AGI/Gemma-2-9B-It-SPPO-Iter1/2b029e6d-a0b8-4b6c-b62d-144b8dc4f739.json b/data/hfopenllm_v2/UCLA-AGI/Gemma-2-9B-It-SPPO-Iter1/2b029e6d-a0b8-4b6c-b62d-144b8dc4f739.json
new file mode 100644
index 000000000..b9787022d
--- /dev/null
+++ b/data/hfopenllm_v2/UCLA-AGI/Gemma-2-9B-It-SPPO-Iter1/2b029e6d-a0b8-4b6c-b62d-144b8dc4f739.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/UCLA-AGI_Gemma-2-9B-It-SPPO-Iter1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Gemma-2-9B-It-SPPO-Iter1",
+    "id": "UCLA-AGI/Gemma-2-9B-It-SPPO-Iter1",
+    "developer": "UCLA-AGI",
+    "inference_platform": "unknown",
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+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
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+        "hf_repo": "TIGER-Lab/MMLU-Pro"
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+      }
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+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/UCLA-AGI/Gemma-2-9B-It-SPPO-Iter2/b926ca6c-60c9-4353-9671-0453b46d0222.json b/data/hfopenllm_v2/UCLA-AGI/Gemma-2-9B-It-SPPO-Iter2/b926ca6c-60c9-4353-9671-0453b46d0222.json
new file mode 100644
index 000000000..51f77c00b
--- /dev/null
+++ b/data/hfopenllm_v2/UCLA-AGI/Gemma-2-9B-It-SPPO-Iter2/b926ca6c-60c9-4353-9671-0453b46d0222.json
@@ -0,0 +1,132 @@
+{
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+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
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+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Gemma-2-9B-It-SPPO-Iter2",
+    "id": "UCLA-AGI/Gemma-2-9B-It-SPPO-Iter2",
+    "developer": "UCLA-AGI",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Gemma2ForCausalLM",
+      "params_billions": 9.242
+    }
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+  "evaluation_results": [
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
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+        "score_type": "continuous",
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+    {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
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+        "score_type": "continuous",
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+        "max_score": 1.0
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+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
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+        "evaluation_description": "Exact Match on MATH Level 5",
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+        "hf_repo": "TAUR-Lab/MuSR"
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+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "max_score": 1.0
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+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
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+        "max_score": 1.0
+      },
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+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/UCLA-AGI/Gemma-2-9B-It-SPPO-Iter3/44db30b4-2010-4f96-a39e-9ccc8568374f.json b/data/hfopenllm_v2/UCLA-AGI/Gemma-2-9B-It-SPPO-Iter3/44db30b4-2010-4f96-a39e-9ccc8568374f.json
new file mode 100644
index 000000000..6ac45353a
--- /dev/null
+++ b/data/hfopenllm_v2/UCLA-AGI/Gemma-2-9B-It-SPPO-Iter3/44db30b4-2010-4f96-a39e-9ccc8568374f.json
@@ -0,0 +1,132 @@
+{
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+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
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+  "model_info": {
+    "name": "Gemma-2-9B-It-SPPO-Iter3",
+    "id": "UCLA-AGI/Gemma-2-9B-It-SPPO-Iter3",
+    "developer": "UCLA-AGI",
+    "inference_platform": "unknown",
+    "additional_details": {
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+    }
+  },
+  "evaluation_results": [
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
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+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+      }
+    },
+    {
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+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6007
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
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+        "min_score": 0.0,
+        "max_score": 1.0
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+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
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+        "min_score": 0.0,
+        "max_score": 1.0
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+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+    },
+    {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
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+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/UCLA-AGI/Llama-3-Instruct-8B-SPPO-Iter1/07af3512-a045-435e-a965-8daa0836905d.json b/data/hfopenllm_v2/UCLA-AGI/Llama-3-Instruct-8B-SPPO-Iter1/07af3512-a045-435e-a965-8daa0836905d.json
deleted file mode 100644
index 7d36a98e7..000000000
--- a/data/hfopenllm_v2/UCLA-AGI/Llama-3-Instruct-8B-SPPO-Iter1/07af3512-a045-435e-a965-8daa0836905d.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "source_data": [
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "UCLA-AGI/Llama-3-Instruct-8B-SPPO-Iter1",
-    "developer": "UCLA-AGI",
-    "inference_platform": "unknown",
-    "id": "UCLA-AGI/Llama-3-Instruct-8B-SPPO-Iter1",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
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-    },
-    {
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-        "max_score": 1
-      },
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
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-    },
-    {
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-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3567916666666666
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/UCLA-AGI/Llama-3-Instruct-8B-SPPO-Iter1/2210d673-d417-46be-aeca-de48cd846e01.json b/data/hfopenllm_v2/UCLA-AGI/Llama-3-Instruct-8B-SPPO-Iter1/2210d673-d417-46be-aeca-de48cd846e01.json
new file mode 100644
index 000000000..336128396
--- /dev/null
+++ b/data/hfopenllm_v2/UCLA-AGI/Llama-3-Instruct-8B-SPPO-Iter1/2210d673-d417-46be-aeca-de48cd846e01.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/UCLA-AGI_Llama-3-Instruct-8B-SPPO-Iter1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-3-Instruct-8B-SPPO-Iter1",
+    "id": "UCLA-AGI/Llama-3-Instruct-8B-SPPO-Iter1",
+    "developer": "UCLA-AGI",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7299
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5058
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1148
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2676
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3568
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3711
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/UCLA-AGI/Llama-3-Instruct-8B-SPPO-Iter2/0c5c315f-63c4-427e-a307-1422a197895c.json b/data/hfopenllm_v2/UCLA-AGI/Llama-3-Instruct-8B-SPPO-Iter2/0c5c315f-63c4-427e-a307-1422a197895c.json
deleted file mode 100644
index 22737028d..000000000
--- a/data/hfopenllm_v2/UCLA-AGI/Llama-3-Instruct-8B-SPPO-Iter2/0c5c315f-63c4-427e-a307-1422a197895c.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/UCLA-AGI_Llama-3-Instruct-8B-SPPO-Iter2/1762652579.93697",
-  "retrieved_timestamp": "1762652579.936971",
-  "source_data": [
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-  ],
-  "source_metadata": {
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "UCLA-AGI/Llama-3-Instruct-8B-SPPO-Iter2",
-    "developer": "UCLA-AGI",
-    "inference_platform": "unknown",
-    "id": "UCLA-AGI/Llama-3-Instruct-8B-SPPO-Iter2",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.0
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    {
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-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-      "score_details": {
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-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
-        "score": 0.36918218085106386
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/UCLA-AGI/Llama-3-Instruct-8B-SPPO-Iter2/892d27cc-dfb3-40c7-ae0f-a7cd06784808.json b/data/hfopenllm_v2/UCLA-AGI/Llama-3-Instruct-8B-SPPO-Iter2/892d27cc-dfb3-40c7-ae0f-a7cd06784808.json
new file mode 100644
index 000000000..22ac5bc50
--- /dev/null
+++ b/data/hfopenllm_v2/UCLA-AGI/Llama-3-Instruct-8B-SPPO-Iter2/892d27cc-dfb3-40c7-ae0f-a7cd06784808.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/UCLA-AGI_Llama-3-Instruct-8B-SPPO-Iter2/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-3-Instruct-8B-SPPO-Iter2",
+    "id": "UCLA-AGI/Llama-3-Instruct-8B-SPPO-Iter2",
+    "developer": "UCLA-AGI",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.0
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6989
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5089
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1035
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2668
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3594
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3692
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/UCLA-AGI/Llama-3-Instruct-8B-SPPO-Iter3/49b3f293-721d-4d44-9748-88d1ce275050.json b/data/hfopenllm_v2/UCLA-AGI/Llama-3-Instruct-8B-SPPO-Iter3/49b3f293-721d-4d44-9748-88d1ce275050.json
new file mode 100644
index 000000000..973c80332
--- /dev/null
+++ b/data/hfopenllm_v2/UCLA-AGI/Llama-3-Instruct-8B-SPPO-Iter3/49b3f293-721d-4d44-9748-88d1ce275050.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/UCLA-AGI_Llama-3-Instruct-8B-SPPO-Iter3/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-3-Instruct-8B-SPPO-Iter3",
+    "id": "UCLA-AGI/Llama-3-Instruct-8B-SPPO-Iter3",
+    "developer": "UCLA-AGI",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6834
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.508
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0959
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2651
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3661
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3644
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/UCLA-AGI/Llama-3-Instruct-8B-SPPO-Iter3/49e095af-ed90-4e64-b476-4fc62d6e6997.json b/data/hfopenllm_v2/UCLA-AGI/Llama-3-Instruct-8B-SPPO-Iter3/49e095af-ed90-4e64-b476-4fc62d6e6997.json
deleted file mode 100644
index af6bfb43f..000000000
--- a/data/hfopenllm_v2/UCLA-AGI/Llama-3-Instruct-8B-SPPO-Iter3/49e095af-ed90-4e64-b476-4fc62d6e6997.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/UCLA-AGI_Llama-3-Instruct-8B-SPPO-Iter3/1762652579.937367",
-  "retrieved_timestamp": "1762652579.9373682",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "UCLA-AGI/Llama-3-Instruct-8B-SPPO-Iter3",
-    "developer": "UCLA-AGI",
-    "inference_platform": "unknown",
-    "id": "UCLA-AGI/Llama-3-Instruct-8B-SPPO-Iter3",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.67029814226253
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5076407742830437
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.07175226586102719
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2651006711409396
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3647291666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3657746010638298
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/UCLA-AGI/Llama-3-Instruct-8B-SPPO-Iter3/70fb41fe-46af-49e3-8270-5882e12f710f.json b/data/hfopenllm_v2/UCLA-AGI/Llama-3-Instruct-8B-SPPO-Iter3/70fb41fe-46af-49e3-8270-5882e12f710f.json
new file mode 100644
index 000000000..9aab7af07
--- /dev/null
+++ b/data/hfopenllm_v2/UCLA-AGI/Llama-3-Instruct-8B-SPPO-Iter3/70fb41fe-46af-49e3-8270-5882e12f710f.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/UCLA-AGI_Llama-3-Instruct-8B-SPPO-Iter3/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-3-Instruct-8B-SPPO-Iter3",
+    "id": "UCLA-AGI/Llama-3-Instruct-8B-SPPO-Iter3",
+    "developer": "UCLA-AGI",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6703
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5076
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0718
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2651
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3647
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3658
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/UCLA-AGI/Llama-3-Instruct-8B-SPPO-Iter3/d8d05a10-8889-40aa-b56f-365e0a12052c.json b/data/hfopenllm_v2/UCLA-AGI/Llama-3-Instruct-8B-SPPO-Iter3/d8d05a10-8889-40aa-b56f-365e0a12052c.json
deleted file mode 100644
index 28f8f31b6..000000000
--- a/data/hfopenllm_v2/UCLA-AGI/Llama-3-Instruct-8B-SPPO-Iter3/d8d05a10-8889-40aa-b56f-365e0a12052c.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/UCLA-AGI/Mistral7B-PairRM-SPPO-Iter1/13e2489f-9d96-4f68-8e22-c937604c2145.json b/data/hfopenllm_v2/UCLA-AGI/Mistral7B-PairRM-SPPO-Iter1/13e2489f-9d96-4f68-8e22-c937604c2145.json
new file mode 100644
index 000000000..44afb2750
--- /dev/null
+++ b/data/hfopenllm_v2/UCLA-AGI/Mistral7B-PairRM-SPPO-Iter1/13e2489f-9d96-4f68-8e22-c937604c2145.json
@@ -0,0 +1,132 @@
+{
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+  "source_metadata": {
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+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
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+  "model_info": {
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+    "id": "UCLA-AGI/Mistral7B-PairRM-SPPO-Iter1",
+    "developer": "UCLA-AGI",
+    "inference_platform": "unknown",
+    "additional_details": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
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+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
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+    },
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+        "hf_repo": "TAUR-Lab/MuSR"
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/UCLA-AGI/Mistral7B-PairRM-SPPO-Iter2/0c386ea0-4706-4a6f-994c-b6ee21dbce92.json b/data/hfopenllm_v2/UCLA-AGI/Mistral7B-PairRM-SPPO-Iter2/0c386ea0-4706-4a6f-994c-b6ee21dbce92.json
new file mode 100644
index 000000000..b7fd6fe39
--- /dev/null
+++ b/data/hfopenllm_v2/UCLA-AGI/Mistral7B-PairRM-SPPO-Iter2/0c386ea0-4706-4a6f-994c-b6ee21dbce92.json
@@ -0,0 +1,132 @@
+{
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+  "source_metadata": {
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+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
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+    "id": "UCLA-AGI/Mistral7B-PairRM-SPPO-Iter2",
+    "developer": "UCLA-AGI",
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+        "hf_repo": "SaylorTwift/bbh"
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+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
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+        "evaluation_description": "Exact Match on MATH Level 5",
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+        "hf_repo": "TAUR-Lab/MuSR"
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/UCLA-AGI/Mistral7B-PairRM-SPPO-Iter3/a8d5a193-6c87-4b5b-8ea3-b3ab78e73104.json b/data/hfopenllm_v2/UCLA-AGI/Mistral7B-PairRM-SPPO-Iter3/a8d5a193-6c87-4b5b-8ea3-b3ab78e73104.json
new file mode 100644
index 000000000..34544a27f
--- /dev/null
+++ b/data/hfopenllm_v2/UCLA-AGI/Mistral7B-PairRM-SPPO-Iter3/a8d5a193-6c87-4b5b-8ea3-b3ab78e73104.json
@@ -0,0 +1,132 @@
+{
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+    "source_type": "documentation",
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+    "id": "UCLA-AGI/Mistral7B-PairRM-SPPO-Iter3",
+    "developer": "UCLA-AGI",
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+        "hf_repo": "TIGER-Lab/MMLU-Pro"
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/UCLA-AGI/Mistral7B-PairRM-SPPO/4018f4bd-492a-4814-9a7a-1f0c376f2d2e.json b/data/hfopenllm_v2/UCLA-AGI/Mistral7B-PairRM-SPPO/4018f4bd-492a-4814-9a7a-1f0c376f2d2e.json
new file mode 100644
index 000000000..d29d93827
--- /dev/null
+++ b/data/hfopenllm_v2/UCLA-AGI/Mistral7B-PairRM-SPPO/4018f4bd-492a-4814-9a7a-1f0c376f2d2e.json
@@ -0,0 +1,132 @@
+{
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+  "source_metadata": {
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+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
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+    "developer": "UCLA-AGI",
+    "inference_platform": "unknown",
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+        "max_score": 1.0
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+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
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+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
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+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
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+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "max_score": 1.0
+      },
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+    },
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
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+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/UKzExecution/LlamaExecutor-8B-3.0.5/568072cb-118d-41af-bfe8-fa14cb4c7348.json b/data/hfopenllm_v2/UKzExecution/LlamaExecutor-8B-3.0.5/568072cb-118d-41af-bfe8-fa14cb4c7348.json
new file mode 100644
index 000000000..d992c32d0
--- /dev/null
+++ b/data/hfopenllm_v2/UKzExecution/LlamaExecutor-8B-3.0.5/568072cb-118d-41af-bfe8-fa14cb4c7348.json
@@ -0,0 +1,132 @@
+{
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+    "developer": "UKzExecution",
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+    }
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
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+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
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+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+        "hf_repo": "TAUR-Lab/MuSR"
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+        "score_type": "continuous",
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+        "max_score": 1.0
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3625
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Unbabel/TowerInstruct-Mistral-7B-v0.2/a6d08766-8c36-41bf-8bbc-acdfdc3f8e23.json b/data/hfopenllm_v2/Unbabel/TowerInstruct-Mistral-7B-v0.2/a6d08766-8c36-41bf-8bbc-acdfdc3f8e23.json
new file mode 100644
index 000000000..21f0ff869
--- /dev/null
+++ b/data/hfopenllm_v2/Unbabel/TowerInstruct-Mistral-7B-v0.2/a6d08766-8c36-41bf-8bbc-acdfdc3f8e23.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Unbabel_TowerInstruct-Mistral-7B-v0.2/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "TowerInstruct-Mistral-7B-v0.2",
+    "id": "Unbabel/TowerInstruct-Mistral-7B-v0.2",
+    "developer": "Unbabel",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2843
+      }
+    },
+    {
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+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+      },
+      "metric_config": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
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+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Undi95/MG-FinalMix-72B/2504fed5-c8a1-4ffc-8ce5-9559aa8c4325.json b/data/hfopenllm_v2/Undi95/MG-FinalMix-72B/2504fed5-c8a1-4ffc-8ce5-9559aa8c4325.json
new file mode 100644
index 000000000..c0dc3e377
--- /dev/null
+++ b/data/hfopenllm_v2/Undi95/MG-FinalMix-72B/2504fed5-c8a1-4ffc-8ce5-9559aa8c4325.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Undi95_MG-FinalMix-72B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "MG-FinalMix-72B",
+    "id": "Undi95/MG-FinalMix-72B",
+    "developer": "Undi95",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 72.706
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
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+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
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+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6973
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+    },
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+        "hf_repo": "Idavidrein/gpqa"
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+        "score_type": "continuous",
+        "min_score": 0.0,
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+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
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+        "evaluation_description": "Accuracy on MUSR",
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+        "score_type": "continuous",
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+    },
+    {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "max_score": 1.0
+      },
+      "score_details": {
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+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Undi95/MG-FinalMix-72B/3d3598fa-4b23-4ec6-a010-fb20232a5121.json b/data/hfopenllm_v2/Undi95/MG-FinalMix-72B/3d3598fa-4b23-4ec6-a010-fb20232a5121.json
deleted file mode 100644
index c0c0d53f4..000000000
--- a/data/hfopenllm_v2/Undi95/MG-FinalMix-72B/3d3598fa-4b23-4ec6-a010-fb20232a5121.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "source_metadata": {
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Undi95/MG-FinalMix-72B",
-    "developer": "Undi95",
-    "inference_platform": "unknown",
-    "id": "Undi95/MG-FinalMix-72B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 72.706
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
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-      },
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-        "score": 0.8013648231137825
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-    {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
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-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
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-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.48227083333333337
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.542719414893617
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Undi95/Phi4-abliterated/359dde31-d9dc-4c22-b829-77df652dcc73.json b/data/hfopenllm_v2/Undi95/Phi4-abliterated/359dde31-d9dc-4c22-b829-77df652dcc73.json
new file mode 100644
index 000000000..8b09b9cab
--- /dev/null
+++ b/data/hfopenllm_v2/Undi95/Phi4-abliterated/359dde31-d9dc-4c22-b829-77df652dcc73.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Undi95_Phi4-abliterated/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Phi4-abliterated",
+    "id": "Undi95/Phi4-abliterated",
+    "developer": "Undi95",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Phi3ForCausalLM",
+      "params_billions": 14.66
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6618
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+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
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+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6809
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+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
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+      "score_details": {
+        "score": 0.3701
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+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3305
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+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4034
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
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+        "score_type": "continuous",
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+      }
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/V3N0M/Jenna-Tiny-2.0/34a79823-b993-402a-89a7-538e126ee02a.json b/data/hfopenllm_v2/V3N0M/Jenna-Tiny-2.0/34a79823-b993-402a-89a7-538e126ee02a.json
new file mode 100644
index 000000000..05681b21a
--- /dev/null
+++ b/data/hfopenllm_v2/V3N0M/Jenna-Tiny-2.0/34a79823-b993-402a-89a7-538e126ee02a.json
@@ -0,0 +1,132 @@
+{
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+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Jenna-Tiny-2.0",
+    "id": "V3N0M/Jenna-Tiny-2.0",
+    "developer": "V3N0M",
+    "inference_platform": "unknown",
+    "additional_details": {
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+      "architecture": "LlamaForCausalLM",
+      "params_billions": 0.631
+    }
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+      },
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
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+      },
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+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
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+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
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+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+    {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
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+        "max_score": 1.0
+      },
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+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/V3N0M/Jenna-Tiny-2.0/d9785857-b164-4d38-8d03-0e03e2d0fbf5.json b/data/hfopenllm_v2/V3N0M/Jenna-Tiny-2.0/d9785857-b164-4d38-8d03-0e03e2d0fbf5.json
deleted file mode 100644
index 7e0d7d5bd..000000000
--- a/data/hfopenllm_v2/V3N0M/Jenna-Tiny-2.0/d9785857-b164-4d38-8d03-0e03e2d0fbf5.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/V3N0M_Jenna-Tiny-2.0/1762652579.9394162",
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-    "source_name": "HF Open LLM v2",
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-    "name": "V3N0M/Jenna-Tiny-2.0",
-    "developer": "V3N0M",
-    "inference_platform": "unknown",
-    "id": "V3N0M/Jenna-Tiny-2.0",
-    "additional_details": {
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-      "evaluation_name": "IFEval",
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-        "lower_is_better": false,
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-        "lower_is_better": false,
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-        "lower_is_better": false,
-        "score_type": "continuous",
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-        "score": 0.25
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-    {
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diff --git a/data/hfopenllm_v2/VAGOsolutions/Llama-3-SauerkrautLM-70b-Instruct/eb8adbdf-2cfb-4e9e-8f75-ce2734907725.json b/data/hfopenllm_v2/VAGOsolutions/Llama-3-SauerkrautLM-70b-Instruct/eb8adbdf-2cfb-4e9e-8f75-ce2734907725.json
deleted file mode 100644
index 85d3d4b54..000000000
--- a/data/hfopenllm_v2/VAGOsolutions/Llama-3-SauerkrautLM-70b-Instruct/eb8adbdf-2cfb-4e9e-8f75-ce2734907725.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
-    "name": "VAGOsolutions/Llama-3-SauerkrautLM-70b-Instruct",
-    "developer": "VAGOsolutions",
-    "inference_platform": "unknown",
-    "id": "VAGOsolutions/Llama-3-SauerkrautLM-70b-Instruct",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 70.554
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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diff --git a/data/hfopenllm_v2/VAGOsolutions/Llama-3-SauerkrautLM-70b-Instruct/f392c5c3-9bee-4111-9a22-6a1b706fd2ad.json b/data/hfopenllm_v2/VAGOsolutions/Llama-3-SauerkrautLM-70b-Instruct/f392c5c3-9bee-4111-9a22-6a1b706fd2ad.json
new file mode 100644
index 000000000..a2a4784dd
--- /dev/null
+++ b/data/hfopenllm_v2/VAGOsolutions/Llama-3-SauerkrautLM-70b-Instruct/f392c5c3-9bee-4111-9a22-6a1b706fd2ad.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/VAGOsolutions_Llama-3-SauerkrautLM-70b-Instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-3-SauerkrautLM-70b-Instruct",
+    "id": "VAGOsolutions/Llama-3-SauerkrautLM-70b-Instruct",
+    "developer": "VAGOsolutions",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 70.554
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.8045
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+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6663
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2281
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+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.328
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4339
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5392
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/VAGOsolutions/Llama-3-SauerkrautLM-8b-Instruct/73bbdd22-4e5f-496b-b39f-290d8e0d2aa4.json b/data/hfopenllm_v2/VAGOsolutions/Llama-3-SauerkrautLM-8b-Instruct/73bbdd22-4e5f-496b-b39f-290d8e0d2aa4.json
new file mode 100644
index 000000000..af84212e1
--- /dev/null
+++ b/data/hfopenllm_v2/VAGOsolutions/Llama-3-SauerkrautLM-8b-Instruct/73bbdd22-4e5f-496b-b39f-290d8e0d2aa4.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/VAGOsolutions_Llama-3-SauerkrautLM-8b-Instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-3-SauerkrautLM-8b-Instruct",
+    "id": "VAGOsolutions/Llama-3-SauerkrautLM-8b-Instruct",
+    "developer": "VAGOsolutions",
+    "inference_platform": "unknown",
+    "additional_details": {
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+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
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+  },
+  "evaluation_results": [
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
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+        "score_type": "continuous",
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+        "max_score": 1.0
+      },
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+    },
+    {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4943
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+    },
+    {
+      "evaluation_name": "MATH Level 5",
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
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+      "metric_config": {
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+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
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+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+    },
+    {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3857
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/VAGOsolutions/Llama-3-SauerkrautLM-8b-Instruct/ad99531d-4d52-4175-8ebd-cb172b4577de.json b/data/hfopenllm_v2/VAGOsolutions/Llama-3-SauerkrautLM-8b-Instruct/ad99531d-4d52-4175-8ebd-cb172b4577de.json
deleted file mode 100644
index de18c9058..000000000
--- a/data/hfopenllm_v2/VAGOsolutions/Llama-3-SauerkrautLM-8b-Instruct/ad99531d-4d52-4175-8ebd-cb172b4577de.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/VAGOsolutions_Llama-3-SauerkrautLM-8b-Instruct/1762652579.93995",
-  "retrieved_timestamp": "1762652579.9399512",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "VAGOsolutions/Llama-3-SauerkrautLM-8b-Instruct",
-    "developer": "VAGOsolutions",
-    "inference_platform": "unknown",
-    "id": "VAGOsolutions/Llama-3-SauerkrautLM-8b-Instruct",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.744536718130117
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.494337579362695
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.06646525679758308
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3087248322147651
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42410416666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3857214095744681
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/VAGOsolutions/Llama-3.1-SauerkrautLM-70b-Instruct/2e3eca4b-4c15-4b3b-8c44-3a23312a0797.json b/data/hfopenllm_v2/VAGOsolutions/Llama-3.1-SauerkrautLM-70b-Instruct/2e3eca4b-4c15-4b3b-8c44-3a23312a0797.json
deleted file mode 100644
index aef1a0cae..000000000
--- a/data/hfopenllm_v2/VAGOsolutions/Llama-3.1-SauerkrautLM-70b-Instruct/2e3eca4b-4c15-4b3b-8c44-3a23312a0797.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/VAGOsolutions_Llama-3.1-SauerkrautLM-70b-Instruct/1762652579.940237",
-  "retrieved_timestamp": "1762652579.940238",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "VAGOsolutions/Llama-3.1-SauerkrautLM-70b-Instruct",
-    "developer": "VAGOsolutions",
-    "inference_platform": "unknown",
-    "id": "VAGOsolutions/Llama-3.1-SauerkrautLM-70b-Instruct",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 70.554
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.8656365111238181
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7006249194404001
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3693353474320242
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3414429530201342
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4710833333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5334940159574468
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/VAGOsolutions/Llama-3.1-SauerkrautLM-70b-Instruct/72a66eae-9c94-40e3-b3c9-211303e5cba8.json b/data/hfopenllm_v2/VAGOsolutions/Llama-3.1-SauerkrautLM-70b-Instruct/72a66eae-9c94-40e3-b3c9-211303e5cba8.json
new file mode 100644
index 000000000..c22f37f6c
--- /dev/null
+++ b/data/hfopenllm_v2/VAGOsolutions/Llama-3.1-SauerkrautLM-70b-Instruct/72a66eae-9c94-40e3-b3c9-211303e5cba8.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/VAGOsolutions_Llama-3.1-SauerkrautLM-70b-Instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-3.1-SauerkrautLM-70b-Instruct",
+    "id": "VAGOsolutions/Llama-3.1-SauerkrautLM-70b-Instruct",
+    "developer": "VAGOsolutions",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 70.554
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.8656
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7006
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3693
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3414
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4711
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5335
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/VAGOsolutions/Llama-3.1-SauerkrautLM-8b-Instruct/aa425d3e-e363-46bf-a5fb-cbf524657e85.json b/data/hfopenllm_v2/VAGOsolutions/Llama-3.1-SauerkrautLM-8b-Instruct/aa425d3e-e363-46bf-a5fb-cbf524657e85.json
deleted file mode 100644
index f4cc59918..000000000
--- a/data/hfopenllm_v2/VAGOsolutions/Llama-3.1-SauerkrautLM-8b-Instruct/aa425d3e-e363-46bf-a5fb-cbf524657e85.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/VAGOsolutions_Llama-3.1-SauerkrautLM-8b-Instruct/1762652579.9404852",
-  "retrieved_timestamp": "1762652579.940486",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "VAGOsolutions/Llama-3.1-SauerkrautLM-8b-Instruct",
-    "developer": "VAGOsolutions",
-    "inference_platform": "unknown",
-    "id": "VAGOsolutions/Llama-3.1-SauerkrautLM-8b-Instruct",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.8017393848322452
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5114932190011187
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.19410876132930513
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2902684563758389
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4148020833333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3890458776595745
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/VAGOsolutions/Llama-3.1-SauerkrautLM-8b-Instruct/ef7390b5-599b-4354-805b-9486e4ce34fa.json b/data/hfopenllm_v2/VAGOsolutions/Llama-3.1-SauerkrautLM-8b-Instruct/ef7390b5-599b-4354-805b-9486e4ce34fa.json
new file mode 100644
index 000000000..c83915153
--- /dev/null
+++ b/data/hfopenllm_v2/VAGOsolutions/Llama-3.1-SauerkrautLM-8b-Instruct/ef7390b5-599b-4354-805b-9486e4ce34fa.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/VAGOsolutions_Llama-3.1-SauerkrautLM-8b-Instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-3.1-SauerkrautLM-8b-Instruct",
+    "id": "VAGOsolutions/Llama-3.1-SauerkrautLM-8b-Instruct",
+    "developer": "VAGOsolutions",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.8017
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5115
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1941
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2903
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4148
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.389
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/VAGOsolutions/SauerkrautLM-1.5b/22ae39ae-883c-43a7-abbe-3213b9035b58.json b/data/hfopenllm_v2/VAGOsolutions/SauerkrautLM-1.5b/22ae39ae-883c-43a7-abbe-3213b9035b58.json
deleted file mode 100644
index f2136daca..000000000
--- a/data/hfopenllm_v2/VAGOsolutions/SauerkrautLM-1.5b/22ae39ae-883c-43a7-abbe-3213b9035b58.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
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-}
diff --git a/data/hfopenllm_v2/VAGOsolutions/SauerkrautLM-1.5b/57f964c3-0504-4b60-9539-ce0e369816ea.json b/data/hfopenllm_v2/VAGOsolutions/SauerkrautLM-1.5b/57f964c3-0504-4b60-9539-ce0e369816ea.json
new file mode 100644
index 000000000..f33769597
--- /dev/null
+++ b/data/hfopenllm_v2/VAGOsolutions/SauerkrautLM-1.5b/57f964c3-0504-4b60-9539-ce0e369816ea.json
@@ -0,0 +1,132 @@
+{
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+  "evaluation_id": "hfopenllm_v2/VAGOsolutions_SauerkrautLM-1.5b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "SauerkrautLM-1.5b",
+    "id": "VAGOsolutions/SauerkrautLM-1.5b",
+    "developer": "VAGOsolutions",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 1.544
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2404
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3704
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+    },
+    {
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+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.271
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3739
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2151
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/VAGOsolutions/SauerkrautLM-7b-HerO/4e6c0336-5d94-4417-a194-92a4d6f38481.json b/data/hfopenllm_v2/VAGOsolutions/SauerkrautLM-7b-HerO/4e6c0336-5d94-4417-a194-92a4d6f38481.json
new file mode 100644
index 000000000..dde4ae4ac
--- /dev/null
+++ b/data/hfopenllm_v2/VAGOsolutions/SauerkrautLM-7b-HerO/4e6c0336-5d94-4417-a194-92a4d6f38481.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/VAGOsolutions_SauerkrautLM-7b-HerO/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "SauerkrautLM-7b-HerO",
+    "id": "VAGOsolutions/SauerkrautLM-7b-HerO",
+    "developer": "VAGOsolutions",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5346
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4904
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0393
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2727
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3924
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3046
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/VAGOsolutions/SauerkrautLM-7b-HerO/be74b2d6-28b9-4227-b0ec-fbad4b7dada6.json b/data/hfopenllm_v2/VAGOsolutions/SauerkrautLM-7b-HerO/be74b2d6-28b9-4227-b0ec-fbad4b7dada6.json
deleted file mode 100644
index fa55d6a09..000000000
--- a/data/hfopenllm_v2/VAGOsolutions/SauerkrautLM-7b-HerO/be74b2d6-28b9-4227-b0ec-fbad4b7dada6.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/VAGOsolutions_SauerkrautLM-7b-HerO/1762652579.940931",
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-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
-    "name": "VAGOsolutions/SauerkrautLM-7b-HerO",
-    "developer": "VAGOsolutions",
-    "inference_platform": "unknown",
-    "id": "VAGOsolutions/SauerkrautLM-7b-HerO",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
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-      "score_details": {
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-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.39238541666666665
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30460438829787234
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/VAGOsolutions/SauerkrautLM-7b-LaserChat/35512aeb-611a-46a8-849e-442fc3fcc23a.json b/data/hfopenllm_v2/VAGOsolutions/SauerkrautLM-7b-LaserChat/35512aeb-611a-46a8-849e-442fc3fcc23a.json
deleted file mode 100644
index 3845b6897..000000000
--- a/data/hfopenllm_v2/VAGOsolutions/SauerkrautLM-7b-LaserChat/35512aeb-611a-46a8-849e-442fc3fcc23a.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/VAGOsolutions_SauerkrautLM-7b-LaserChat/1762652579.941142",
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-  "source_data": [
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
-    "name": "VAGOsolutions/SauerkrautLM-7b-LaserChat",
-    "developer": "VAGOsolutions",
-    "inference_platform": "unknown",
-    "id": "VAGOsolutions/SauerkrautLM-7b-LaserChat",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
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-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
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-    {
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-        "max_score": 1
-      },
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-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
-        "score": 0.07779456193353475
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30033557046979864
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4148020833333333
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3304521276595745
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-  ]
-}
diff --git a/data/hfopenllm_v2/VAGOsolutions/SauerkrautLM-7b-LaserChat/fe38dea8-92f4-4fb2-afdf-c5932d7c9e27.json b/data/hfopenllm_v2/VAGOsolutions/SauerkrautLM-7b-LaserChat/fe38dea8-92f4-4fb2-afdf-c5932d7c9e27.json
new file mode 100644
index 000000000..e0f9d6aca
--- /dev/null
+++ b/data/hfopenllm_v2/VAGOsolutions/SauerkrautLM-7b-LaserChat/fe38dea8-92f4-4fb2-afdf-c5932d7c9e27.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/VAGOsolutions_SauerkrautLM-7b-LaserChat/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "SauerkrautLM-7b-LaserChat",
+    "id": "VAGOsolutions/SauerkrautLM-7b-LaserChat",
+    "developer": "VAGOsolutions",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+        "hf_repo": "TIGER-Lab/MMLU-Pro"
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/VAGOsolutions/SauerkrautLM-Gemma-2b/5ced7497-5a05-40d2-80cb-cae63ca62022.json b/data/hfopenllm_v2/VAGOsolutions/SauerkrautLM-Gemma-2b/5ced7497-5a05-40d2-80cb-cae63ca62022.json
new file mode 100644
index 000000000..66467bc2c
--- /dev/null
+++ b/data/hfopenllm_v2/VAGOsolutions/SauerkrautLM-Gemma-2b/5ced7497-5a05-40d2-80cb-cae63ca62022.json
@@ -0,0 +1,132 @@
+{
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+  "source_metadata": {
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+    "additional_details": {
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+      "architecture": "GemmaForCausalLM",
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+    }
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+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
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+        "score_type": "continuous",
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+        "max_score": 1.0
+      },
+      "score_details": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
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+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
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+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/VAGOsolutions/SauerkrautLM-Gemma-7b/52a66aaa-193a-48ca-b693-4dcab811eaa3.json b/data/hfopenllm_v2/VAGOsolutions/SauerkrautLM-Gemma-7b/52a66aaa-193a-48ca-b693-4dcab811eaa3.json
new file mode 100644
index 000000000..f14465432
--- /dev/null
+++ b/data/hfopenllm_v2/VAGOsolutions/SauerkrautLM-Gemma-7b/52a66aaa-193a-48ca-b693-4dcab811eaa3.json
@@ -0,0 +1,132 @@
+{
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+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "SauerkrautLM-Gemma-7b",
+    "id": "VAGOsolutions/SauerkrautLM-Gemma-7b",
+    "developer": "VAGOsolutions",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "GemmaForCausalLM",
+      "params_billions": 8.538
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3407
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
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+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
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+    },
+    {
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+        "hf_repo": "TAUR-Lab/MuSR"
+      },
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+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+      }
+    },
+    {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
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+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/VAGOsolutions/SauerkrautLM-Mixtral-8x7B-Instruct/e0e4bcef-cb73-436b-9353-b18ade293e8b.json b/data/hfopenllm_v2/VAGOsolutions/SauerkrautLM-Mixtral-8x7B-Instruct/e0e4bcef-cb73-436b-9353-b18ade293e8b.json
new file mode 100644
index 000000000..56dde9357
--- /dev/null
+++ b/data/hfopenllm_v2/VAGOsolutions/SauerkrautLM-Mixtral-8x7B-Instruct/e0e4bcef-cb73-436b-9353-b18ade293e8b.json
@@ -0,0 +1,132 @@
+{
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+  "evaluation_id": "hfopenllm_v2/VAGOsolutions_SauerkrautLM-Mixtral-8x7B-Instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
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+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "SauerkrautLM-Mixtral-8x7B-Instruct",
+    "id": "VAGOsolutions/SauerkrautLM-Mixtral-8x7B-Instruct",
+    "developer": "VAGOsolutions",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MixtralForCausalLM",
+      "params_billions": 46.703
+    }
+  },
+  "evaluation_results": [
+    {
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+        "source_type": "hf_dataset",
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+      },
+      "metric_config": {
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+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
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+      },
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+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5277
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+    },
+    {
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+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
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+      },
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+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/VAGOsolutions/SauerkrautLM-Mixtral-8x7B-Instruct/f105fe57-632a-4e3b-bbcb-f063f2e10874.json b/data/hfopenllm_v2/VAGOsolutions/SauerkrautLM-Mixtral-8x7B-Instruct/f105fe57-632a-4e3b-bbcb-f063f2e10874.json
deleted file mode 100644
index 2504233e1..000000000
--- a/data/hfopenllm_v2/VAGOsolutions/SauerkrautLM-Mixtral-8x7B-Instruct/f105fe57-632a-4e3b-bbcb-f063f2e10874.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
-    "name": "VAGOsolutions/SauerkrautLM-Mixtral-8x7B-Instruct",
-    "developer": "VAGOsolutions",
-    "inference_platform": "unknown",
-    "id": "VAGOsolutions/SauerkrautLM-Mixtral-8x7B-Instruct",
-    "additional_details": {
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-      "architecture": "MixtralForCausalLM",
-      "params_billions": 46.703
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
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-        "max_score": 1
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-    },
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
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-        "max_score": 1
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-        "max_score": 1
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-      "score_details": {
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-    },
-    {
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-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42041666666666666
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-  ]
-}
diff --git a/data/hfopenllm_v2/VAGOsolutions/SauerkrautLM-Nemo-12b-Instruct/1ae45791-7e47-4083-bd72-4530fa26893c.json b/data/hfopenllm_v2/VAGOsolutions/SauerkrautLM-Nemo-12b-Instruct/1ae45791-7e47-4083-bd72-4530fa26893c.json
new file mode 100644
index 000000000..fa2eb1b02
--- /dev/null
+++ b/data/hfopenllm_v2/VAGOsolutions/SauerkrautLM-Nemo-12b-Instruct/1ae45791-7e47-4083-bd72-4530fa26893c.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/VAGOsolutions_SauerkrautLM-Nemo-12b-Instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "SauerkrautLM-Nemo-12b-Instruct",
+    "id": "VAGOsolutions/SauerkrautLM-Nemo-12b-Instruct",
+    "developer": "VAGOsolutions",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 12.248
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6113
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5214
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1224
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3096
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4469
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3385
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/VAGOsolutions/SauerkrautLM-Nemo-12b-Instruct/b5db7846-f777-4fa8-86e9-f09fdee1dfee.json b/data/hfopenllm_v2/VAGOsolutions/SauerkrautLM-Nemo-12b-Instruct/b5db7846-f777-4fa8-86e9-f09fdee1dfee.json
deleted file mode 100644
index 072ade7cd..000000000
--- a/data/hfopenllm_v2/VAGOsolutions/SauerkrautLM-Nemo-12b-Instruct/b5db7846-f777-4fa8-86e9-f09fdee1dfee.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/VAGOsolutions_SauerkrautLM-Nemo-12b-Instruct/1762652579.942016",
-  "retrieved_timestamp": "1762652579.942017",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "VAGOsolutions/SauerkrautLM-Nemo-12b-Instruct",
-    "developer": "VAGOsolutions",
-    "inference_platform": "unknown",
-    "id": "VAGOsolutions/SauerkrautLM-Nemo-12b-Instruct",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 12.248
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6112969144093228
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5214128647611115
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.12235649546827794
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30956375838926176
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4468958333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.33851396276595747
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/VAGOsolutions/SauerkrautLM-Phi-3-medium/b2731f04-a9bd-4e36-a545-85be5b66f5a7.json b/data/hfopenllm_v2/VAGOsolutions/SauerkrautLM-Phi-3-medium/b2731f04-a9bd-4e36-a545-85be5b66f5a7.json
new file mode 100644
index 000000000..b7b0c2153
--- /dev/null
+++ b/data/hfopenllm_v2/VAGOsolutions/SauerkrautLM-Phi-3-medium/b2731f04-a9bd-4e36-a545-85be5b66f5a7.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/VAGOsolutions_SauerkrautLM-Phi-3-medium/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "SauerkrautLM-Phi-3-medium",
+    "id": "VAGOsolutions/SauerkrautLM-Phi-3-medium",
+    "developer": "VAGOsolutions",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 13.96
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4409
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6433
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1601
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3347
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4845
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4665
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/VAGOsolutions/SauerkrautLM-SOLAR-Instruct/24fbb409-3b1a-4ed2-8866-547a7f02c5dc.json b/data/hfopenllm_v2/VAGOsolutions/SauerkrautLM-SOLAR-Instruct/24fbb409-3b1a-4ed2-8866-547a7f02c5dc.json
deleted file mode 100644
index 1c1bf403e..000000000
--- a/data/hfopenllm_v2/VAGOsolutions/SauerkrautLM-SOLAR-Instruct/24fbb409-3b1a-4ed2-8866-547a7f02c5dc.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/VAGOsolutions_SauerkrautLM-SOLAR-Instruct/1762652579.942544",
-  "retrieved_timestamp": "1762652579.942544",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "VAGOsolutions/SauerkrautLM-SOLAR-Instruct",
-    "developer": "VAGOsolutions",
-    "inference_platform": "unknown",
-    "id": "VAGOsolutions/SauerkrautLM-SOLAR-Instruct",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 10.732
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.49172085621705963
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5169447300097646
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.0634441087613293
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3053691275167785
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3965416666666666
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.31831781914893614
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/VAGOsolutions/SauerkrautLM-SOLAR-Instruct/ed6de552-d04b-4d51-8456-610e2cb41d85.json b/data/hfopenllm_v2/VAGOsolutions/SauerkrautLM-SOLAR-Instruct/ed6de552-d04b-4d51-8456-610e2cb41d85.json
new file mode 100644
index 000000000..feb5d2dda
--- /dev/null
+++ b/data/hfopenllm_v2/VAGOsolutions/SauerkrautLM-SOLAR-Instruct/ed6de552-d04b-4d51-8456-610e2cb41d85.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/VAGOsolutions_SauerkrautLM-SOLAR-Instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "SauerkrautLM-SOLAR-Instruct",
+    "id": "VAGOsolutions/SauerkrautLM-SOLAR-Instruct",
+    "developer": "VAGOsolutions",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 10.732
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4917
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5169
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0634
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3054
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3965
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3183
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/VAGOsolutions/SauerkrautLM-gemma-2-2b-it/3e08a589-d2b3-487b-900e-85725522a2e4.json b/data/hfopenllm_v2/VAGOsolutions/SauerkrautLM-gemma-2-2b-it/3e08a589-d2b3-487b-900e-85725522a2e4.json
new file mode 100644
index 000000000..49079f005
--- /dev/null
+++ b/data/hfopenllm_v2/VAGOsolutions/SauerkrautLM-gemma-2-2b-it/3e08a589-d2b3-487b-900e-85725522a2e4.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/VAGOsolutions_SauerkrautLM-gemma-2-2b-it/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "SauerkrautLM-gemma-2-2b-it",
+    "id": "VAGOsolutions/SauerkrautLM-gemma-2-2b-it",
+    "developer": "VAGOsolutions",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Gemma2ForCausalLM",
+      "params_billions": 2.614
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1321
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4241
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0219
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2727
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3995
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2693
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/VAGOsolutions/SauerkrautLM-gemma-2-9b-it/b2717503-d081-40ee-b1ed-fcadaf239049.json b/data/hfopenllm_v2/VAGOsolutions/SauerkrautLM-gemma-2-9b-it/b2717503-d081-40ee-b1ed-fcadaf239049.json
new file mode 100644
index 000000000..e6e7502ff
--- /dev/null
+++ b/data/hfopenllm_v2/VAGOsolutions/SauerkrautLM-gemma-2-9b-it/b2717503-d081-40ee-b1ed-fcadaf239049.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/VAGOsolutions_SauerkrautLM-gemma-2-9b-it/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "SauerkrautLM-gemma-2-9b-it",
+    "id": "VAGOsolutions/SauerkrautLM-gemma-2-9b-it",
+    "developer": "VAGOsolutions",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Gemma2ForCausalLM",
+      "params_billions": 9.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3024
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6073
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0838
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3272
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4318
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4091
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/VAGOsolutions/SauerkrautLM-v2-14b-DPO/9915eb01-5c45-42b6-82a3-ad782411642f.json b/data/hfopenllm_v2/VAGOsolutions/SauerkrautLM-v2-14b-DPO/9915eb01-5c45-42b6-82a3-ad782411642f.json
new file mode 100644
index 000000000..7d69802d9
--- /dev/null
+++ b/data/hfopenllm_v2/VAGOsolutions/SauerkrautLM-v2-14b-DPO/9915eb01-5c45-42b6-82a3-ad782411642f.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/VAGOsolutions_SauerkrautLM-v2-14b-DPO/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "SauerkrautLM-v2-14b-DPO",
+    "id": "VAGOsolutions/SauerkrautLM-v2-14b-DPO",
+    "developer": "VAGOsolutions",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.77
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7412
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.656
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3165
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3196
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4375
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5117
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/VAGOsolutions/SauerkrautLM-v2-14b-DPO/e4b13fb1-11c0-4696-856f-de393fe2f8b2.json b/data/hfopenllm_v2/VAGOsolutions/SauerkrautLM-v2-14b-DPO/e4b13fb1-11c0-4696-856f-de393fe2f8b2.json
deleted file mode 100644
index 0cd06c2b4..000000000
--- a/data/hfopenllm_v2/VAGOsolutions/SauerkrautLM-v2-14b-DPO/e4b13fb1-11c0-4696-856f-de393fe2f8b2.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/VAGOsolutions_SauerkrautLM-v2-14b-DPO/1762652579.943197",
-  "retrieved_timestamp": "1762652579.943197",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "VAGOsolutions/SauerkrautLM-v2-14b-DPO",
-    "developer": "VAGOsolutions",
-    "inference_platform": "unknown",
-    "id": "VAGOsolutions/SauerkrautLM-v2-14b-DPO",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 14.77
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7411645544931892
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6560374350756156
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3164652567975831
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3196308724832215
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.43746875
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.51171875
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/VAGOsolutions/SauerkrautLM-v2-14b-SFT/190eb7ca-46db-4e1d-8b71-9bb20af74ede.json b/data/hfopenllm_v2/VAGOsolutions/SauerkrautLM-v2-14b-SFT/190eb7ca-46db-4e1d-8b71-9bb20af74ede.json
new file mode 100644
index 000000000..ac7db90ff
--- /dev/null
+++ b/data/hfopenllm_v2/VAGOsolutions/SauerkrautLM-v2-14b-SFT/190eb7ca-46db-4e1d-8b71-9bb20af74ede.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/VAGOsolutions_SauerkrautLM-v2-14b-SFT/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "SauerkrautLM-v2-14b-SFT",
+    "id": "VAGOsolutions/SauerkrautLM-v2-14b-SFT",
+    "developer": "VAGOsolutions",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.77
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6949
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.621
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3285
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3356
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4179
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5205
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/VAGOsolutions/SauerkrautLM-v2-14b-SFT/d1b47391-f36e-4819-8093-5aff774dff94.json b/data/hfopenllm_v2/VAGOsolutions/SauerkrautLM-v2-14b-SFT/d1b47391-f36e-4819-8093-5aff774dff94.json
deleted file mode 100644
index 798f27b0e..000000000
--- a/data/hfopenllm_v2/VAGOsolutions/SauerkrautLM-v2-14b-SFT/d1b47391-f36e-4819-8093-5aff774dff94.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/VAGOsolutions_SauerkrautLM-v2-14b-SFT/1762652579.94341",
-  "retrieved_timestamp": "1762652579.9434109",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
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new file mode 100644
index 000000000..40a4383a3
--- /dev/null
+++ b/data/hfopenllm_v2/VIRNECT/llama-3-Korean-8B-r-v-0.1/86b9077d-9ec3-411d-84c5-326ba97742c1.json
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diff --git a/data/hfopenllm_v2/VIRNECT/llama-3-Korean-8B/18bfa50c-20be-4027-8ee7-f6cd1411c882.json b/data/hfopenllm_v2/VIRNECT/llama-3-Korean-8B/18bfa50c-20be-4027-8ee7-f6cd1411c882.json
new file mode 100644
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diff --git a/data/hfopenllm_v2/VIRNECT/llama-3-Korean-8B/eb1a099a-48c7-412b-b62f-143537c41f06.json b/data/hfopenllm_v2/VIRNECT/llama-3-Korean-8B/eb1a099a-48c7-412b-b62f-143537c41f06.json
new file mode 100644
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diff --git a/data/hfopenllm_v2/ValiantLabs/Llama3-70B-Fireplace/e530a4b7-c2f6-4bad-bab5-2895e950ed63.json b/data/hfopenllm_v2/ValiantLabs/Llama3-70B-Fireplace/e530a4b7-c2f6-4bad-bab5-2895e950ed63.json
new file mode 100644
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diff --git a/data/hfopenllm_v2/ValiantLabs/Llama3-70B-ShiningValiant2/52ad7152-feea-46a6-b2d8-20e1a70514ce.json b/data/hfopenllm_v2/ValiantLabs/Llama3-70B-ShiningValiant2/52ad7152-feea-46a6-b2d8-20e1a70514ce.json
new file mode 100644
index 000000000..7ec6b966f
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diff --git a/data/hfopenllm_v2/ValiantLabs/Llama3.1-70B-ShiningValiant2/a61162a6-ef3e-46f4-8aa2-241547fadea2.json b/data/hfopenllm_v2/ValiantLabs/Llama3.1-70B-ShiningValiant2/a61162a6-ef3e-46f4-8aa2-241547fadea2.json
new file mode 100644
index 000000000..3438ef88c
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diff --git a/data/hfopenllm_v2/ValiantLabs/Llama3.1-8B-Cobalt/9f208aef-8544-47c8-bb1f-a3841aff208b.json b/data/hfopenllm_v2/ValiantLabs/Llama3.1-8B-Cobalt/9f208aef-8544-47c8-bb1f-a3841aff208b.json
new file mode 100644
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diff --git a/data/hfopenllm_v2/ValiantLabs/Llama3.1-8B-Cobalt/da237ab6-df39-460f-9efc-e1649e1ac202.json b/data/hfopenllm_v2/ValiantLabs/Llama3.1-8B-Cobalt/da237ab6-df39-460f-9efc-e1649e1ac202.json
new file mode 100644
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diff --git a/data/hfopenllm_v2/ValiantLabs/Llama3.1-8B-Enigma/c81b3193-9d01-4590-8b72-da97aa3c9dc4.json b/data/hfopenllm_v2/ValiantLabs/Llama3.1-8B-Enigma/c81b3193-9d01-4590-8b72-da97aa3c9dc4.json
new file mode 100644
index 000000000..c8bdca2cb
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+++ b/data/hfopenllm_v2/ValiantLabs/Llama3.1-8B-Enigma/c81b3193-9d01-4590-8b72-da97aa3c9dc4.json
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diff --git a/data/hfopenllm_v2/ValiantLabs/Llama3.1-8B-Esper2/1a9ffe50-69ae-48bc-b636-89431391eb37.json b/data/hfopenllm_v2/ValiantLabs/Llama3.1-8B-Esper2/1a9ffe50-69ae-48bc-b636-89431391eb37.json
new file mode 100644
index 000000000..ba7ad45fc
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+++ b/data/hfopenllm_v2/ValiantLabs/Llama3.1-8B-Esper2/1a9ffe50-69ae-48bc-b636-89431391eb37.json
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diff --git a/data/hfopenllm_v2/ValiantLabs/Llama3.1-8B-Fireplace2/b0c67359-1da0-4f55-aa1c-f54f88038bd7.json b/data/hfopenllm_v2/ValiantLabs/Llama3.1-8B-Fireplace2/b0c67359-1da0-4f55-aa1c-f54f88038bd7.json
new file mode 100644
index 000000000..2f2d8e167
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diff --git a/data/hfopenllm_v2/ValiantLabs/Llama3.1-8B-Fireplace2/c700798b-583a-41be-94dd-382669bb495f.json b/data/hfopenllm_v2/ValiantLabs/Llama3.1-8B-Fireplace2/c700798b-583a-41be-94dd-382669bb495f.json
new file mode 100644
index 000000000..fca031505
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+++ b/data/hfopenllm_v2/ValiantLabs/Llama3.1-8B-Fireplace2/c700798b-583a-41be-94dd-382669bb495f.json
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diff --git a/data/hfopenllm_v2/ValiantLabs/Llama3.1-8B-ShiningValiant2/3c0b9735-2ef1-4f27-b94a-f246eb57b73c.json b/data/hfopenllm_v2/ValiantLabs/Llama3.1-8B-ShiningValiant2/3c0b9735-2ef1-4f27-b94a-f246eb57b73c.json
new file mode 100644
index 000000000..2c1716490
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/ValiantLabs/Llama3.1-8B-ShiningValiant2/e8c9501b-c985-4b78-a902-a1a030c72e60.json b/data/hfopenllm_v2/ValiantLabs/Llama3.1-8B-ShiningValiant2/e8c9501b-c985-4b78-a902-a1a030c72e60.json
new file mode 100644
index 000000000..b45bd8cf9
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+++ b/data/hfopenllm_v2/ValiantLabs/Llama3.1-8B-ShiningValiant2/e8c9501b-c985-4b78-a902-a1a030c72e60.json
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/ValiantLabs/Llama3.2-3B-Enigma/df978fce-3373-4073-8c44-d6a83df1d9d1.json b/data/hfopenllm_v2/ValiantLabs/Llama3.2-3B-Enigma/df978fce-3373-4073-8c44-d6a83df1d9d1.json
new file mode 100644
index 000000000..be7b22dec
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+++ b/data/hfopenllm_v2/ValiantLabs/Llama3.2-3B-Enigma/df978fce-3373-4073-8c44-d6a83df1d9d1.json
@@ -0,0 +1,132 @@
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/ValiantLabs/Llama3.2-3B-Esper2/e46ee8d9-81af-4259-8fef-3d3113fb6168.json b/data/hfopenllm_v2/ValiantLabs/Llama3.2-3B-Esper2/e46ee8d9-81af-4259-8fef-3d3113fb6168.json
new file mode 100644
index 000000000..40bf9a025
--- /dev/null
+++ b/data/hfopenllm_v2/ValiantLabs/Llama3.2-3B-Esper2/e46ee8d9-81af-4259-8fef-3d3113fb6168.json
@@ -0,0 +1,132 @@
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/ValiantLabs/Llama3.2-3B-ShiningValiant2/aa6ab404-89ef-4336-b811-7c8064e26107.json b/data/hfopenllm_v2/ValiantLabs/Llama3.2-3B-ShiningValiant2/aa6ab404-89ef-4336-b811-7c8064e26107.json
new file mode 100644
index 000000000..aad1ebcc3
--- /dev/null
+++ b/data/hfopenllm_v2/ValiantLabs/Llama3.2-3B-ShiningValiant2/aa6ab404-89ef-4336-b811-7c8064e26107.json
@@ -0,0 +1,132 @@
+{
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+  "source_metadata": {
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+    "developer": "ValiantLabs",
+    "inference_platform": "unknown",
+    "additional_details": {
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+      "architecture": "LlamaForCausalLM",
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
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+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
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+      },
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+        "hf_repo": "TAUR-Lab/MuSR"
+      },
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+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
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+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Vikhrmodels/Vikhr-Llama3.1-8B-Instruct-R-21-09-24/a14e6c79-4a78-4c02-a7ca-35e783f32be1.json b/data/hfopenllm_v2/Vikhrmodels/Vikhr-Llama3.1-8B-Instruct-R-21-09-24/a14e6c79-4a78-4c02-a7ca-35e783f32be1.json
new file mode 100644
index 000000000..3f2934658
--- /dev/null
+++ b/data/hfopenllm_v2/Vikhrmodels/Vikhr-Llama3.1-8B-Instruct-R-21-09-24/a14e6c79-4a78-4c02-a7ca-35e783f32be1.json
@@ -0,0 +1,132 @@
+{
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+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Vikhr-Llama3.1-8B-Instruct-R-21-09-24",
+    "id": "Vikhrmodels/Vikhr-Llama3.1-8B-Instruct-R-21-09-24",
+    "developer": "Vikhrmodels",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
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+        "source_type": "hf_dataset",
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+      },
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+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5272
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+    },
+    {
+      "evaluation_name": "GPQA",
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.245
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
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+        "score_type": "continuous",
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+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Vikhrmodels/Vikhr-Llama3.1-8B-Instruct-R-21-09-24/b0332107-4b84-4c0a-b488-187fb3d534ae.json b/data/hfopenllm_v2/Vikhrmodels/Vikhr-Llama3.1-8B-Instruct-R-21-09-24/b0332107-4b84-4c0a-b488-187fb3d534ae.json
deleted file mode 100644
index e23b2840e..000000000
--- a/data/hfopenllm_v2/Vikhrmodels/Vikhr-Llama3.1-8B-Instruct-R-21-09-24/b0332107-4b84-4c0a-b488-187fb3d534ae.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "source_data": [
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-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
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diff --git a/data/hfopenllm_v2/Vikhrmodels/Vikhr-Nemo-12B-Instruct-R-21-09-24/787cc582-61da-4afd-bfac-431377809fd9.json b/data/hfopenllm_v2/Vikhrmodels/Vikhr-Nemo-12B-Instruct-R-21-09-24/787cc582-61da-4afd-bfac-431377809fd9.json
deleted file mode 100644
index 2cd044ba8..000000000
--- a/data/hfopenllm_v2/Vikhrmodels/Vikhr-Nemo-12B-Instruct-R-21-09-24/787cc582-61da-4afd-bfac-431377809fd9.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/Vikhrmodels_Vikhr-Nemo-12B-Instruct-R-21-09-24/1762652579.947979",
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-  "source_data": [
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Vikhrmodels/Vikhr-Nemo-12B-Instruct-R-21-09-24",
-    "developer": "Vikhrmodels",
-    "inference_platform": "unknown",
-    "id": "Vikhrmodels/Vikhr-Nemo-12B-Instruct-R-21-09-24",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "MistralForCausalLM",
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-  "evaluation_results": [
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-        "max_score": 1
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-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-      "metric_config": {
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-        "score_type": "continuous",
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-        "max_score": 1
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-        "min_score": 0,
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-      "score_details": {
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-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
-        "score": 0.33976063829787234
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-}
diff --git a/data/hfopenllm_v2/Vikhrmodels/Vikhr-Nemo-12B-Instruct-R-21-09-24/ba1fb85b-bbc0-46ac-95d7-e61b91f65c2b.json b/data/hfopenllm_v2/Vikhrmodels/Vikhr-Nemo-12B-Instruct-R-21-09-24/ba1fb85b-bbc0-46ac-95d7-e61b91f65c2b.json
new file mode 100644
index 000000000..5191b77e3
--- /dev/null
+++ b/data/hfopenllm_v2/Vikhrmodels/Vikhr-Nemo-12B-Instruct-R-21-09-24/ba1fb85b-bbc0-46ac-95d7-e61b91f65c2b.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Vikhrmodels_Vikhr-Nemo-12B-Instruct-R-21-09-24/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Vikhr-Nemo-12B-Instruct-R-21-09-24",
+    "id": "Vikhrmodels/Vikhr-Nemo-12B-Instruct-R-21-09-24",
+    "developer": "Vikhrmodels",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 12.248
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5999
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5212
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1715
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2911
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4073
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3398
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Weyaxi/Bagel-Hermes-2x34B/5b614673-6566-4b82-bf7c-13268ebb1577.json b/data/hfopenllm_v2/Weyaxi/Bagel-Hermes-2x34B/5b614673-6566-4b82-bf7c-13268ebb1577.json
deleted file mode 100644
index 0182fe223..000000000
--- a/data/hfopenllm_v2/Weyaxi/Bagel-Hermes-2x34B/5b614673-6566-4b82-bf7c-13268ebb1577.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/Weyaxi_Bagel-Hermes-2x34B/1762652579.948213",
-  "retrieved_timestamp": "1762652579.948214",
-  "source_data": [
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-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Weyaxi/Bagel-Hermes-2x34B",
-    "developer": "Weyaxi",
-    "inference_platform": "unknown",
-    "id": "Weyaxi/Bagel-Hermes-2x34B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MixtralForCausalLM",
-      "params_billions": 60.814
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
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-        "lower_is_better": false,
-        "score_type": "continuous",
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-      },
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-        "lower_is_better": false,
-        "score_type": "continuous",
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-        "max_score": 1
-      },
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-    },
-    {
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-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.32802013422818793
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.45166666666666666
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4588597074468085
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Weyaxi/Bagel-Hermes-2x34B/f6312fc7-c7a8-45dc-a57c-91f56b4ca28a.json b/data/hfopenllm_v2/Weyaxi/Bagel-Hermes-2x34B/f6312fc7-c7a8-45dc-a57c-91f56b4ca28a.json
new file mode 100644
index 000000000..a15c3dfdc
--- /dev/null
+++ b/data/hfopenllm_v2/Weyaxi/Bagel-Hermes-2x34B/f6312fc7-c7a8-45dc-a57c-91f56b4ca28a.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Weyaxi_Bagel-Hermes-2x34B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Bagel-Hermes-2x34B",
+    "id": "Weyaxi/Bagel-Hermes-2x34B",
+    "developer": "Weyaxi",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MixtralForCausalLM",
+      "params_billions": 60.814
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5432
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4917
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0604
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.328
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4517
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4589
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Weyaxi/Bagel-Hermes-34B-Slerp/28439ab5-0e5f-4dae-a98a-e0c1b743a8b0.json b/data/hfopenllm_v2/Weyaxi/Bagel-Hermes-34B-Slerp/28439ab5-0e5f-4dae-a98a-e0c1b743a8b0.json
deleted file mode 100644
index bb00e8e6d..000000000
--- a/data/hfopenllm_v2/Weyaxi/Bagel-Hermes-34B-Slerp/28439ab5-0e5f-4dae-a98a-e0c1b743a8b0.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Weyaxi_Bagel-Hermes-34B-Slerp/1762652579.948482",
-  "retrieved_timestamp": "1762652579.948482",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Weyaxi/Bagel-Hermes-34B-Slerp",
-    "developer": "Weyaxi",
-    "inference_platform": "unknown",
-    "id": "Weyaxi/Bagel-Hermes-34B-Slerp",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 34.389
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4602720780861448
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
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diff --git a/data/hfopenllm_v2/Weyaxi/Bagel-Hermes-34B-Slerp/335f5c32-f3f0-4a16-8c9d-8f07b2aae54a.json b/data/hfopenllm_v2/Weyaxi/Bagel-Hermes-34B-Slerp/335f5c32-f3f0-4a16-8c9d-8f07b2aae54a.json
new file mode 100644
index 000000000..b2da0af11
--- /dev/null
+++ b/data/hfopenllm_v2/Weyaxi/Bagel-Hermes-34B-Slerp/335f5c32-f3f0-4a16-8c9d-8f07b2aae54a.json
@@ -0,0 +1,132 @@
+{
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+  "evaluation_id": "hfopenllm_v2/Weyaxi_Bagel-Hermes-34B-Slerp/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Bagel-Hermes-34B-Slerp",
+    "id": "Weyaxi/Bagel-Hermes-34B-Slerp",
+    "developer": "Weyaxi",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 34.389
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+    },
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+      }
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
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+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Weyaxi/Einstein-v4-7B/035c5e35-0ebe-4e91-a598-8d01688462a3.json b/data/hfopenllm_v2/Weyaxi/Einstein-v4-7B/035c5e35-0ebe-4e91-a598-8d01688462a3.json
deleted file mode 100644
index 2870e9ffd..000000000
--- a/data/hfopenllm_v2/Weyaxi/Einstein-v4-7B/035c5e35-0ebe-4e91-a598-8d01688462a3.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Weyaxi/Einstein-v4-7B",
-    "developer": "Weyaxi",
-    "inference_platform": "unknown",
-    "id": "Weyaxi/Einstein-v4-7B",
-    "additional_details": {
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-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
-    }
-  },
-  "evaluation_results": [
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-        "lower_is_better": false,
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-      "score_details": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
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-}
diff --git a/data/hfopenllm_v2/Weyaxi/Einstein-v4-7B/b7c7a907-7ecc-4d5b-bc6f-8b8d82954b21.json b/data/hfopenllm_v2/Weyaxi/Einstein-v4-7B/b7c7a907-7ecc-4d5b-bc6f-8b8d82954b21.json
new file mode 100644
index 000000000..42818be4e
--- /dev/null
+++ b/data/hfopenllm_v2/Weyaxi/Einstein-v4-7B/b7c7a907-7ecc-4d5b-bc6f-8b8d82954b21.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Weyaxi_Einstein-v4-7B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Einstein-v4-7B",
+    "id": "Weyaxi/Einstein-v4-7B",
+    "developer": "Weyaxi",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4708
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3849
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2819
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4682
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2259
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Weyaxi/Einstein-v6.1-Llama3-8B/112f01a2-f0fb-4257-86bf-61c9a184eb92.json b/data/hfopenllm_v2/Weyaxi/Einstein-v6.1-Llama3-8B/112f01a2-f0fb-4257-86bf-61c9a184eb92.json
new file mode 100644
index 000000000..f43785b03
--- /dev/null
+++ b/data/hfopenllm_v2/Weyaxi/Einstein-v6.1-Llama3-8B/112f01a2-f0fb-4257-86bf-61c9a184eb92.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Weyaxi_Einstein-v6.1-Llama3-8B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Einstein-v6.1-Llama3-8B",
+    "id": "Weyaxi/Einstein-v6.1-Llama3-8B",
+    "developer": "Weyaxi",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4568
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5008
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.068
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2819
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4213
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3131
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Weyaxi/Einstein-v6.1-developed-by-Weyaxi-Llama3-8B/2d9410d6-7162-4811-bf7d-9de2c2b48fd2.json b/data/hfopenllm_v2/Weyaxi/Einstein-v6.1-developed-by-Weyaxi-Llama3-8B/2d9410d6-7162-4811-bf7d-9de2c2b48fd2.json
new file mode 100644
index 000000000..4375030ce
--- /dev/null
+++ b/data/hfopenllm_v2/Weyaxi/Einstein-v6.1-developed-by-Weyaxi-Llama3-8B/2d9410d6-7162-4811-bf7d-9de2c2b48fd2.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Weyaxi_Einstein-v6.1-developed-by-Weyaxi-Llama3-8B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Einstein-v6.1-developed-by-Weyaxi-Llama3-8B",
+    "id": "Weyaxi/Einstein-v6.1-developed-by-Weyaxi-Llama3-8B",
+    "developer": "Weyaxi",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3927
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+        "score_type": "continuous",
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+        "max_score": 1.0
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
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+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Weyaxi/Einstein-v7-Qwen2-7B/16ff8fa3-4676-473c-99ad-908ddb59d8ed.json b/data/hfopenllm_v2/Weyaxi/Einstein-v7-Qwen2-7B/16ff8fa3-4676-473c-99ad-908ddb59d8ed.json
new file mode 100644
index 000000000..3fd32bab2
--- /dev/null
+++ b/data/hfopenllm_v2/Weyaxi/Einstein-v7-Qwen2-7B/16ff8fa3-4676-473c-99ad-908ddb59d8ed.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Weyaxi_Einstein-v7-Qwen2-7B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Einstein-v7-Qwen2-7B",
+    "id": "Weyaxi/Einstein-v7-Qwen2-7B",
+    "developer": "Weyaxi",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+        "score": 0.41
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5161
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+    },
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+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+    },
+    {
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+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+    },
+    {
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+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Weyaxi/Einstein-v8-Llama3.2-1B/9b153ac9-f95b-419b-b7f9-beccd769ddad.json b/data/hfopenllm_v2/Weyaxi/Einstein-v8-Llama3.2-1B/9b153ac9-f95b-419b-b7f9-beccd769ddad.json
new file mode 100644
index 000000000..96e3825ec
--- /dev/null
+++ b/data/hfopenllm_v2/Weyaxi/Einstein-v8-Llama3.2-1B/9b153ac9-f95b-419b-b7f9-beccd769ddad.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Weyaxi_Einstein-v8-Llama3.2-1B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Einstein-v8-Llama3.2-1B",
+    "id": "Weyaxi/Einstein-v8-Llama3.2-1B",
+    "developer": "Weyaxi",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 1.236
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1862
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+      }
+    },
+    {
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+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
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+      },
+      "score_details": {
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+      }
+    },
+    {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Weyaxi/SauerkrautLM-UNA-SOLAR-Instruct/8a5df3c2-eb71-4e12-b013-fb43685f2916.json b/data/hfopenllm_v2/Weyaxi/SauerkrautLM-UNA-SOLAR-Instruct/8a5df3c2-eb71-4e12-b013-fb43685f2916.json
new file mode 100644
index 000000000..e6c896811
--- /dev/null
+++ b/data/hfopenllm_v2/Weyaxi/SauerkrautLM-UNA-SOLAR-Instruct/8a5df3c2-eb71-4e12-b013-fb43685f2916.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Weyaxi_SauerkrautLM-UNA-SOLAR-Instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "SauerkrautLM-UNA-SOLAR-Instruct",
+    "id": "Weyaxi/SauerkrautLM-UNA-SOLAR-Instruct",
+    "developer": "Weyaxi",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 10.732
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+        "score": 0.4573
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5166
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3153
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Weyaxi/SauerkrautLM-UNA-SOLAR-Instruct/8ddec5bb-ab90-4c98-8482-a412e7735246.json b/data/hfopenllm_v2/Weyaxi/SauerkrautLM-UNA-SOLAR-Instruct/8ddec5bb-ab90-4c98-8482-a412e7735246.json
deleted file mode 100644
index b349c721b..000000000
--- a/data/hfopenllm_v2/Weyaxi/SauerkrautLM-UNA-SOLAR-Instruct/8ddec5bb-ab90-4c98-8482-a412e7735246.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/Weyaxi_SauerkrautLM-UNA-SOLAR-Instruct/1762652579.950165",
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-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Weyaxi/SauerkrautLM-UNA-SOLAR-Instruct",
-    "developer": "Weyaxi",
-    "inference_platform": "unknown",
-    "id": "Weyaxi/SauerkrautLM-UNA-SOLAR-Instruct",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 10.732
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5166357112030591
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.04607250755287009
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.311241610738255
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.397875
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.31532579787234044
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/WizardLMTeam/WizardLM-13B-V1.0/35fa3213-5c08-4b19-ae76-237fdd25444e.json b/data/hfopenllm_v2/WizardLMTeam/WizardLM-13B-V1.0/35fa3213-5c08-4b19-ae76-237fdd25444e.json
new file mode 100644
index 000000000..ea8afc65e
--- /dev/null
+++ b/data/hfopenllm_v2/WizardLMTeam/WizardLM-13B-V1.0/35fa3213-5c08-4b19-ae76-237fdd25444e.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/WizardLMTeam_WizardLM-13B-V1.0/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "WizardLM-13B-V1.0",
+    "id": "WizardLMTeam/WizardLM-13B-V1.0",
+    "developer": "WizardLMTeam",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 13.0
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.185
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+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2913
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2592
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3497
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1166
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/WizardLMTeam/WizardLM-13B-V1.0/ab4f785b-779f-423b-9905-31a3b66dfeff.json b/data/hfopenllm_v2/WizardLMTeam/WizardLM-13B-V1.0/ab4f785b-779f-423b-9905-31a3b66dfeff.json
deleted file mode 100644
index 9abe0fe42..000000000
--- a/data/hfopenllm_v2/WizardLMTeam/WizardLM-13B-V1.0/ab4f785b-779f-423b-9905-31a3b66dfeff.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/WizardLMTeam_WizardLM-13B-V1.0/1762652579.9503958",
-  "retrieved_timestamp": "1762652579.950397",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "WizardLMTeam/WizardLM-13B-V1.0",
-    "developer": "WizardLMTeam",
-    "inference_platform": "unknown",
-    "id": "WizardLMTeam/WizardLM-13B-V1.0",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 13.0
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.18504900331121424
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.29134447696551025
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.0
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.25922818791946306
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.34971875
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11660571808510638
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/WizardLMTeam/WizardLM-13B-V1.2/242ce55f-1471-435e-bcd7-d28b5fc87fc4.json b/data/hfopenllm_v2/WizardLMTeam/WizardLM-13B-V1.2/242ce55f-1471-435e-bcd7-d28b5fc87fc4.json
new file mode 100644
index 000000000..9777bbd90
--- /dev/null
+++ b/data/hfopenllm_v2/WizardLMTeam/WizardLM-13B-V1.2/242ce55f-1471-435e-bcd7-d28b5fc87fc4.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/WizardLMTeam_WizardLM-13B-V1.2/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "WizardLM-13B-V1.2",
+    "id": "WizardLMTeam/WizardLM-13B-V1.2",
+    "developer": "WizardLMTeam",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 13.0
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3392
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4462
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0189
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2609
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4378
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2519
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/WizardLMTeam/WizardLM-13B-V1.2/f9d2286c-ed89-4c23-b6a2-c623373331cd.json b/data/hfopenllm_v2/WizardLMTeam/WizardLM-13B-V1.2/f9d2286c-ed89-4c23-b6a2-c623373331cd.json
deleted file mode 100644
index d06e8aa1c..000000000
--- a/data/hfopenllm_v2/WizardLMTeam/WizardLM-13B-V1.2/f9d2286c-ed89-4c23-b6a2-c623373331cd.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/WizardLMTeam_WizardLM-13B-V1.2/1762652579.950676",
-  "retrieved_timestamp": "1762652579.950676",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "WizardLMTeam/WizardLM-13B-V1.2",
-    "developer": "WizardLMTeam",
-    "inference_platform": "unknown",
-    "id": "WizardLMTeam/WizardLM-13B-V1.2",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 13.0
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3392465325336773
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.44619994364600474
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.0188821752265861
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2609060402684564
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.43784375000000003
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.25191156914893614
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/WizardLMTeam/WizardLM-70B-V1.0/8c4ff628-41b6-4769-a33e-b1dbffa913cf.json b/data/hfopenllm_v2/WizardLMTeam/WizardLM-70B-V1.0/8c4ff628-41b6-4769-a33e-b1dbffa913cf.json
deleted file mode 100644
index 9b62f64b2..000000000
--- a/data/hfopenllm_v2/WizardLMTeam/WizardLM-70B-V1.0/8c4ff628-41b6-4769-a33e-b1dbffa913cf.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/WizardLMTeam_WizardLM-70B-V1.0/1762652579.950908",
-  "retrieved_timestamp": "1762652579.950909",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "WizardLMTeam/WizardLM-70B-V1.0",
-    "developer": "WizardLMTeam",
-    "inference_platform": "unknown",
-    "id": "WizardLMTeam/WizardLM-70B-V1.0",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 70.0
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.49514288753839814
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5590366047184262
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.03927492447129909
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.26593959731543626
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.43911458333333336
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.34466422872340424
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/WizardLMTeam/WizardLM-70B-V1.0/95f509f2-5e67-404a-968d-f7488d684e32.json b/data/hfopenllm_v2/WizardLMTeam/WizardLM-70B-V1.0/95f509f2-5e67-404a-968d-f7488d684e32.json
new file mode 100644
index 000000000..8f43a920a
--- /dev/null
+++ b/data/hfopenllm_v2/WizardLMTeam/WizardLM-70B-V1.0/95f509f2-5e67-404a-968d-f7488d684e32.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/WizardLMTeam_WizardLM-70B-V1.0/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "WizardLM-70B-V1.0",
+    "id": "WizardLMTeam/WizardLM-70B-V1.0",
+    "developer": "WizardLMTeam",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 70.0
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4951
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.559
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0393
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2659
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4391
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3447
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Wladastic/Mini-Think-Base-1B/5f9a01b0-632a-4ee4-aedc-279002c7496c.json b/data/hfopenllm_v2/Wladastic/Mini-Think-Base-1B/5f9a01b0-632a-4ee4-aedc-279002c7496c.json
deleted file mode 100644
index 95492bf5a..000000000
--- a/data/hfopenllm_v2/Wladastic/Mini-Think-Base-1B/5f9a01b0-632a-4ee4-aedc-279002c7496c.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Wladastic_Mini-Think-Base-1B/1762652579.951128",
-  "retrieved_timestamp": "1762652579.9511292",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Wladastic/Mini-Think-Base-1B",
-    "developer": "Wladastic",
-    "inference_platform": "unknown",
-    "id": "Wladastic/Mini-Think-Base-1B",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 1.236
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5588405430923283
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.35741728048349203
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.07326283987915408
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2634228187919463
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.32748958333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.17719414893617022
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Wladastic/Mini-Think-Base-1B/bcbcdfe9-0663-417c-9a29-60906e63db8f.json b/data/hfopenllm_v2/Wladastic/Mini-Think-Base-1B/bcbcdfe9-0663-417c-9a29-60906e63db8f.json
new file mode 100644
index 000000000..ab878d450
--- /dev/null
+++ b/data/hfopenllm_v2/Wladastic/Mini-Think-Base-1B/bcbcdfe9-0663-417c-9a29-60906e63db8f.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Wladastic_Mini-Think-Base-1B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Mini-Think-Base-1B",
+    "id": "Wladastic/Mini-Think-Base-1B",
+    "developer": "Wladastic",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 1.236
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5588
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3574
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0733
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2634
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3275
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1772
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Xclbr7/Arcanum-12b/2d0a414f-1cf2-4ae3-951b-ed69d1ef883f.json b/data/hfopenllm_v2/Xclbr7/Arcanum-12b/2d0a414f-1cf2-4ae3-951b-ed69d1ef883f.json
deleted file mode 100644
index 80170b5be..000000000
--- a/data/hfopenllm_v2/Xclbr7/Arcanum-12b/2d0a414f-1cf2-4ae3-951b-ed69d1ef883f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Xclbr7_Arcanum-12b/1762652579.9514",
-  "retrieved_timestamp": "1762652579.951401",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Xclbr7/Arcanum-12b",
-    "developer": "Xclbr7",
-    "inference_platform": "unknown",
-    "id": "Xclbr7/Arcanum-12b",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 12.248
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2906864896253053
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5265359354118465
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11933534743202417
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.32046979865771813
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41703124999999996
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3586269946808511
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Xclbr7/Arcanum-12b/d95a7493-2f99-4c10-8067-711c7388af7d.json b/data/hfopenllm_v2/Xclbr7/Arcanum-12b/d95a7493-2f99-4c10-8067-711c7388af7d.json
new file mode 100644
index 000000000..7bafc055c
--- /dev/null
+++ b/data/hfopenllm_v2/Xclbr7/Arcanum-12b/d95a7493-2f99-4c10-8067-711c7388af7d.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Xclbr7_Arcanum-12b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Arcanum-12b",
+    "id": "Xclbr7/Arcanum-12b",
+    "developer": "Xclbr7",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 12.248
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2907
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5265
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1193
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3205
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.417
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3586
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Xclbr7/Hyena-12b/06eb233f-5182-4b9e-be3f-21c928eef397.json b/data/hfopenllm_v2/Xclbr7/Hyena-12b/06eb233f-5182-4b9e-be3f-21c928eef397.json
deleted file mode 100644
index ef022db6a..000000000
--- a/data/hfopenllm_v2/Xclbr7/Hyena-12b/06eb233f-5182-4b9e-be3f-21c928eef397.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Xclbr7_Hyena-12b/1762652579.9516642",
-  "retrieved_timestamp": "1762652579.951665",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Xclbr7/Hyena-12b",
-    "developer": "Xclbr7",
-    "inference_platform": "unknown",
-    "id": "Xclbr7/Hyena-12b",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 12.248
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3404455733010634
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5457182415468321
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11329305135951662
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2978187919463087
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.39842708333333327
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3439162234042553
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Xclbr7/Hyena-12b/789848a0-6d8a-4583-93c3-a72df74d0071.json b/data/hfopenllm_v2/Xclbr7/Hyena-12b/789848a0-6d8a-4583-93c3-a72df74d0071.json
new file mode 100644
index 000000000..eff456eeb
--- /dev/null
+++ b/data/hfopenllm_v2/Xclbr7/Hyena-12b/789848a0-6d8a-4583-93c3-a72df74d0071.json
@@ -0,0 +1,132 @@
+{
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+  "evaluation_id": "hfopenllm_v2/Xclbr7_Hyena-12b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Hyena-12b",
+    "id": "Xclbr7/Hyena-12b",
+    "developer": "Xclbr7",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 12.248
+    }
+  },
+  "evaluation_results": [
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3404
+      }
+    },
+    {
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+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5457
+      }
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+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
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+      }
+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+        "score": 0.3984
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+    },
+    {
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+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Xclbr7/caliburn-12b/14af87df-0fc5-46e1-9d0b-c25c8b6a7ce7.json b/data/hfopenllm_v2/Xclbr7/caliburn-12b/14af87df-0fc5-46e1-9d0b-c25c8b6a7ce7.json
new file mode 100644
index 000000000..48b753f2c
--- /dev/null
+++ b/data/hfopenllm_v2/Xclbr7/caliburn-12b/14af87df-0fc5-46e1-9d0b-c25c8b6a7ce7.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Xclbr7_caliburn-12b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "caliburn-12b",
+    "id": "Xclbr7/caliburn-12b",
+    "developer": "Xclbr7",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 12.248
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3576
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5519
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1125
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3364
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4292
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3675
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Xclbr7/caliburn-12b/e897d1fc-2c71-4c61-971b-eeddfae1b75c.json b/data/hfopenllm_v2/Xclbr7/caliburn-12b/e897d1fc-2c71-4c61-971b-eeddfae1b75c.json
deleted file mode 100644
index 1e46a7a2e..000000000
--- a/data/hfopenllm_v2/Xclbr7/caliburn-12b/e897d1fc-2c71-4c61-971b-eeddfae1b75c.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/Xclbr7_caliburn-12b/1762652579.951879",
-  "retrieved_timestamp": "1762652579.95188",
-  "source_data": [
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-  ],
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-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Xclbr7/caliburn-12b",
-    "developer": "Xclbr7",
-    "inference_platform": "unknown",
-    "id": "Xclbr7/caliburn-12b",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 12.248
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
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-        "min_score": 0,
-        "max_score": 1
-      },
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-      "evaluation_name": "BBH",
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-        "score_type": "continuous",
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-        "max_score": 1
-      },
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-        "lower_is_better": false,
-        "score_type": "continuous",
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-      "score_details": {
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-    },
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Xclbr7/caliburn-v2-12b/18a12670-8785-44ef-a365-78ce797b8ba5.json b/data/hfopenllm_v2/Xclbr7/caliburn-v2-12b/18a12670-8785-44ef-a365-78ce797b8ba5.json
deleted file mode 100644
index 09fd6079e..000000000
--- a/data/hfopenllm_v2/Xclbr7/caliburn-v2-12b/18a12670-8785-44ef-a365-78ce797b8ba5.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Xclbr7_caliburn-v2-12b/1762652579.952102",
-  "retrieved_timestamp": "1762652579.952102",
-  "source_data": [
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
-    "name": "Xclbr7/caliburn-v2-12b",
-    "developer": "Xclbr7",
-    "inference_platform": "unknown",
-    "id": "Xclbr7/caliburn-v2-12b",
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-    },
-    {
-      "evaluation_name": "GPQA",
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-        "score_type": "continuous",
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.43703125
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37840757978723405
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Xclbr7/caliburn-v2-12b/379f559f-9bfa-444f-b477-562c25b4c299.json b/data/hfopenllm_v2/Xclbr7/caliburn-v2-12b/379f559f-9bfa-444f-b477-562c25b4c299.json
new file mode 100644
index 000000000..475721de8
--- /dev/null
+++ b/data/hfopenllm_v2/Xclbr7/caliburn-v2-12b/379f559f-9bfa-444f-b477-562c25b4c299.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Xclbr7_caliburn-v2-12b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "caliburn-v2-12b",
+    "id": "Xclbr7/caliburn-v2-12b",
+    "developer": "Xclbr7",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 12.248
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2967
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5141
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.105
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3263
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.437
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3784
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+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Xiaojian9992024/Llama3.2-1B-THREADRIPPER-v0.2/effb6a3d-c98f-4c3a-be77-902c61cda21b.json b/data/hfopenllm_v2/Xiaojian9992024/Llama3.2-1B-THREADRIPPER-v0.2/effb6a3d-c98f-4c3a-be77-902c61cda21b.json
new file mode 100644
index 000000000..b05dd8d93
--- /dev/null
+++ b/data/hfopenllm_v2/Xiaojian9992024/Llama3.2-1B-THREADRIPPER-v0.2/effb6a3d-c98f-4c3a-be77-902c61cda21b.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Xiaojian9992024_Llama3.2-1B-THREADRIPPER-v0.2/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
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diff --git a/data/hfopenllm_v2/Xiaojian9992024/Llama3.2-1B-THREADRIPPER/6c1c1405-afa4-412d-ba1f-49dc1cac4509.json b/data/hfopenllm_v2/Xiaojian9992024/Llama3.2-1B-THREADRIPPER/6c1c1405-afa4-412d-ba1f-49dc1cac4509.json
new file mode 100644
index 000000000..cd6966cd3
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diff --git a/data/hfopenllm_v2/Xiaojian9992024/Phi-4-Megatron-Empathetic/6f4ed7c2-c775-4fd2-8600-4cea523f53e4.json b/data/hfopenllm_v2/Xiaojian9992024/Phi-4-Megatron-Empathetic/6f4ed7c2-c775-4fd2-8600-4cea523f53e4.json
new file mode 100644
index 000000000..b61bf3793
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diff --git a/data/hfopenllm_v2/Xiaojian9992024/Phi-4-mini-UNOFFICAL/5fd5206b-186a-43b9-a4f4-07e75aa0293a.json b/data/hfopenllm_v2/Xiaojian9992024/Phi-4-mini-UNOFFICAL/5fd5206b-186a-43b9-a4f4-07e75aa0293a.json
new file mode 100644
index 000000000..76e78b910
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diff --git a/data/hfopenllm_v2/Xiaojian9992024/Qwen2.5-7B-MS-Destroyer/b707ecbf-0658-4226-803d-53456d16d54b.json b/data/hfopenllm_v2/Xiaojian9992024/Qwen2.5-7B-MS-Destroyer/b707ecbf-0658-4226-803d-53456d16d54b.json
new file mode 100644
index 000000000..ddb71d89b
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diff --git a/data/hfopenllm_v2/Xiaojian9992024/Qwen2.5-Dyanka-7B-Preview-v0.2/dca1ee57-5e86-4532-a2f3-ac6a619ca576.json b/data/hfopenllm_v2/Xiaojian9992024/Qwen2.5-Dyanka-7B-Preview-v0.2/dca1ee57-5e86-4532-a2f3-ac6a619ca576.json
new file mode 100644
index 000000000..cb19a6f74
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new file mode 100644
index 000000000..61a8f0cb6
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diff --git a/data/hfopenllm_v2/Xiaojian9992024/Qwen2.5-THREADRIPPER-Medium-Censored/5c4bdeca-5ef8-4002-8f82-67d49b5ff722.json b/data/hfopenllm_v2/Xiaojian9992024/Qwen2.5-THREADRIPPER-Medium-Censored/5c4bdeca-5ef8-4002-8f82-67d49b5ff722.json
new file mode 100644
index 000000000..6183b3899
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diff --git a/data/hfopenllm_v2/Xiaojian9992024/Qwen2.5-THREADRIPPER-Small-AnniversaryEdition/18f5fd6c-2b79-4d48-b7e9-18845db16271.json b/data/hfopenllm_v2/Xiaojian9992024/Qwen2.5-THREADRIPPER-Small-AnniversaryEdition/18f5fd6c-2b79-4d48-b7e9-18845db16271.json
new file mode 100644
index 000000000..889a250b8
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/Xiaojian9992024/Qwen2.5-THREADRIPPER-Small/a9039374-fa5a-4b8b-800f-5f4651cf812d.json b/data/hfopenllm_v2/Xiaojian9992024/Qwen2.5-THREADRIPPER-Small/a9039374-fa5a-4b8b-800f-5f4651cf812d.json
new file mode 100644
index 000000000..5724e01ef
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+        "hf_repo": "TIGER-Lab/MMLU-Pro"
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Xiaojian9992024/Qwen2.5-Ultra-1.5B-25.02-Exp/3f9704b4-bf25-40da-b6dc-b927c3569f40.json b/data/hfopenllm_v2/Xiaojian9992024/Qwen2.5-Ultra-1.5B-25.02-Exp/3f9704b4-bf25-40da-b6dc-b927c3569f40.json
new file mode 100644
index 000000000..35e891112
--- /dev/null
+++ b/data/hfopenllm_v2/Xiaojian9992024/Qwen2.5-Ultra-1.5B-25.02-Exp/3f9704b4-bf25-40da-b6dc-b927c3569f40.json
@@ -0,0 +1,132 @@
+{
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+  "evaluation_id": "hfopenllm_v2/Xiaojian9992024_Qwen2.5-Ultra-1.5B-25.02-Exp/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
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+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-Ultra-1.5B-25.02-Exp",
+    "id": "Xiaojian9992024/Qwen2.5-Ultra-1.5B-25.02-Exp",
+    "developer": "Xiaojian9992024",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 1.544
+    }
+  },
+  "evaluation_results": [
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
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+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+    },
+    {
+      "evaluation_name": "MATH Level 5",
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+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
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+        "hf_repo": "Idavidrein/gpqa"
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+        "hf_repo": "TAUR-Lab/MuSR"
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+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
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+        "max_score": 1.0
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+      }
+    }
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Xiaojian9992024/Reflection-L3.2-JametMiniMix-3B/a8f858d8-a792-409f-b79d-948a19e2aa87.json b/data/hfopenllm_v2/Xiaojian9992024/Reflection-L3.2-JametMiniMix-3B/a8f858d8-a792-409f-b79d-948a19e2aa87.json
new file mode 100644
index 000000000..163b699a4
--- /dev/null
+++ b/data/hfopenllm_v2/Xiaojian9992024/Reflection-L3.2-JametMiniMix-3B/a8f858d8-a792-409f-b79d-948a19e2aa87.json
@@ -0,0 +1,132 @@
+{
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+  "source_metadata": {
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+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
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+    "id": "Xiaojian9992024/Reflection-L3.2-JametMiniMix-3B",
+    "developer": "Xiaojian9992024",
+    "inference_platform": "unknown",
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+    }
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+  "evaluation_results": [
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+      },
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+        "hf_repo": "SaylorTwift/bbh"
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+        "max_score": 1.0
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
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+        "hf_repo": "Idavidrein/gpqa"
+      },
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+        "hf_repo": "TAUR-Lab/MuSR"
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+      }
+    }
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Xiaojian9992024/Reflection-L3.2-JametMiniMix-3B/e582afbb-99f3-4b43-8ee7-b786680124a9.json b/data/hfopenllm_v2/Xiaojian9992024/Reflection-L3.2-JametMiniMix-3B/e582afbb-99f3-4b43-8ee7-b786680124a9.json
deleted file mode 100644
index 643a0eb03..000000000
--- a/data/hfopenllm_v2/Xiaojian9992024/Reflection-L3.2-JametMiniMix-3B/e582afbb-99f3-4b43-8ee7-b786680124a9.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/Xkev/Llama-3.2V-11B-cot/5c34a168-b8cf-436b-a3b7-a2d1feadffb9.json b/data/hfopenllm_v2/Xkev/Llama-3.2V-11B-cot/5c34a168-b8cf-436b-a3b7-a2d1feadffb9.json
new file mode 100644
index 000000000..2b105fc64
--- /dev/null
+++ b/data/hfopenllm_v2/Xkev/Llama-3.2V-11B-cot/5c34a168-b8cf-436b-a3b7-a2d1feadffb9.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Xkev_Llama-3.2V-11B-cot/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-3.2V-11B-cot",
+    "id": "Xkev/Llama-3.2V-11B-cot",
+    "developer": "Xkev",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "MllamaForConditionalGeneration",
+      "params_billions": 10.67
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
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+        "score_type": "continuous",
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "max_score": 1.0
+      },
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+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
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+        "evaluation_description": "Exact Match on MATH Level 5",
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+        "max_score": 1.0
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+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2953
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4159
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+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3587
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+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/YOYO-AI/Qwen2.5-14B-1M-YOYO-V3/77092cfe-9820-45e8-94c5-31d27f1daa7c.json b/data/hfopenllm_v2/YOYO-AI/Qwen2.5-14B-1M-YOYO-V3/77092cfe-9820-45e8-94c5-31d27f1daa7c.json
new file mode 100644
index 000000000..750d1c03c
--- /dev/null
+++ b/data/hfopenllm_v2/YOYO-AI/Qwen2.5-14B-1M-YOYO-V3/77092cfe-9820-45e8-94c5-31d27f1daa7c.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/YOYO-AI_Qwen2.5-14B-1M-YOYO-V3/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-14B-1M-YOYO-V3",
+    "id": "YOYO-AI/Qwen2.5-14B-1M-YOYO-V3",
+    "developer": "YOYO-AI",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
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diff --git a/data/hfopenllm_v2/YOYO-AI/Qwen2.5-14B-YOYO-0505/cab8fed8-de68-4fa5-b4fc-d9483fc56571.json b/data/hfopenllm_v2/YOYO-AI/Qwen2.5-14B-YOYO-0505/cab8fed8-de68-4fa5-b4fc-d9483fc56571.json
new file mode 100644
index 000000000..7845c81e9
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new file mode 100644
index 000000000..7d6288961
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diff --git a/data/hfopenllm_v2/YOYO-AI/Qwen2.5-14B-YOYO-0805/e849c03c-c569-4059-8fc5-6a98cf391342.json b/data/hfopenllm_v2/YOYO-AI/Qwen2.5-14B-YOYO-0805/e849c03c-c569-4059-8fc5-6a98cf391342.json
new file mode 100644
index 000000000..60cbcc72d
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/YOYO-AI/Qwen2.5-14B-YOYO-1005-v2/f1d8bffa-61fc-47d5-85cf-48cebcb31af5.json b/data/hfopenllm_v2/YOYO-AI/Qwen2.5-14B-YOYO-1005-v2/f1d8bffa-61fc-47d5-85cf-48cebcb31af5.json
new file mode 100644
index 000000000..62d6d9013
--- /dev/null
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diff --git a/data/hfopenllm_v2/YOYO-AI/Qwen2.5-14B-YOYO-1005/97bdb352-2e9d-4cc5-8b70-55348ef3a217.json b/data/hfopenllm_v2/YOYO-AI/Qwen2.5-14B-YOYO-1005/97bdb352-2e9d-4cc5-8b70-55348ef3a217.json
new file mode 100644
index 000000000..0d6a7c3b6
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new file mode 100644
index 000000000..ba66678f4
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new file mode 100644
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diff --git a/data/hfopenllm_v2/YOYO-AI/Qwen2.5-14B-YOYO-1010/97f26b20-db66-4a30-ba2a-c18a31081271.json b/data/hfopenllm_v2/YOYO-AI/Qwen2.5-14B-YOYO-1010/97f26b20-db66-4a30-ba2a-c18a31081271.json
new file mode 100644
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/YOYO-AI/Qwen2.5-14B-YOYO-SCE/85f9ccda-8c47-4fa1-9d47-e9da4730b077.json b/data/hfopenllm_v2/YOYO-AI/Qwen2.5-14B-YOYO-SCE/85f9ccda-8c47-4fa1-9d47-e9da4730b077.json
new file mode 100644
index 000000000..b49788cb1
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diff --git a/data/hfopenllm_v2/YOYO-AI/Qwen2.5-14B-YOYO-V4-p1/2a57d6f4-643b-4b30-8d67-03032d454887.json b/data/hfopenllm_v2/YOYO-AI/Qwen2.5-14B-YOYO-V4-p1/2a57d6f4-643b-4b30-8d67-03032d454887.json
new file mode 100644
index 000000000..84039bdda
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new file mode 100644
index 000000000..54ba3e37e
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diff --git a/data/hfopenllm_v2/YOYO-AI/Qwen2.5-14B-YOYO-V4/37a41261-a7b0-44b2-916f-770cdfa0ad39.json b/data/hfopenllm_v2/YOYO-AI/Qwen2.5-14B-YOYO-V4/37a41261-a7b0-44b2-916f-770cdfa0ad39.json
new file mode 100644
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diff --git a/data/hfopenllm_v2/YOYO-AI/Qwen2.5-14B-YOYO-latest-V2/c46cd6cc-b56d-44c5-a03c-b49381ba3462.json b/data/hfopenllm_v2/YOYO-AI/Qwen2.5-14B-YOYO-latest-V2/c46cd6cc-b56d-44c5-a03c-b49381ba3462.json
new file mode 100644
index 000000000..285272c1d
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/YOYO-AI/Qwen2.5-14B-YOYO-latest/612b6226-c25d-42e0-bcd7-be7faa844530.json b/data/hfopenllm_v2/YOYO-AI/Qwen2.5-14B-YOYO-latest/612b6226-c25d-42e0-bcd7-be7faa844530.json
new file mode 100644
index 000000000..045738a4d
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diff --git a/data/hfopenllm_v2/YOYO-AI/Qwen2.5-14B-it-restore/2fc7a4d6-88e0-4f11-9110-dc53942870a4.json b/data/hfopenllm_v2/YOYO-AI/Qwen2.5-14B-it-restore/2fc7a4d6-88e0-4f11-9110-dc53942870a4.json
new file mode 100644
index 000000000..69cc906a3
--- /dev/null
+++ b/data/hfopenllm_v2/YOYO-AI/Qwen2.5-14B-it-restore/2fc7a4d6-88e0-4f11-9110-dc53942870a4.json
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diff --git a/data/hfopenllm_v2/YOYO-AI/Qwen2.5-7B-it-restore/34665752-58d8-48ee-81a6-f1a068c23026.json b/data/hfopenllm_v2/YOYO-AI/Qwen2.5-7B-it-restore/34665752-58d8-48ee-81a6-f1a068c23026.json
new file mode 100644
index 000000000..8d8fd9130
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/YOYO-AI/Qwen2.5-Coder-14B-YOYO-1010/cc0767b5-4aaa-4418-8f68-72a721323e9c.json b/data/hfopenllm_v2/YOYO-AI/Qwen2.5-Coder-14B-YOYO-1010/cc0767b5-4aaa-4418-8f68-72a721323e9c.json
new file mode 100644
index 000000000..72afbd4ba
--- /dev/null
+++ b/data/hfopenllm_v2/YOYO-AI/Qwen2.5-Coder-14B-YOYO-1010/cc0767b5-4aaa-4418-8f68-72a721323e9c.json
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/YOYO-AI/ZYH-LLM-Qwen2.5-14B-V2/ea507a41-1654-4515-94cc-ce2e38800c61.json b/data/hfopenllm_v2/YOYO-AI/ZYH-LLM-Qwen2.5-14B-V2/ea507a41-1654-4515-94cc-ce2e38800c61.json
new file mode 100644
index 000000000..6a8e45bb1
--- /dev/null
+++ b/data/hfopenllm_v2/YOYO-AI/ZYH-LLM-Qwen2.5-14B-V2/ea507a41-1654-4515-94cc-ce2e38800c61.json
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/YOYO-AI/ZYH-LLM-Qwen2.5-14B-V3/c44e773f-4cca-4780-bdd4-f486e65c18e0.json b/data/hfopenllm_v2/YOYO-AI/ZYH-LLM-Qwen2.5-14B-V3/c44e773f-4cca-4780-bdd4-f486e65c18e0.json
new file mode 100644
index 000000000..e0448d4a8
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+++ b/data/hfopenllm_v2/YOYO-AI/ZYH-LLM-Qwen2.5-14B-V3/c44e773f-4cca-4780-bdd4-f486e65c18e0.json
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/YOYO-AI/ZYH-LLM-Qwen2.5-14B-V4/f8a46bda-d53b-484e-8832-7939f7d0762d.json b/data/hfopenllm_v2/YOYO-AI/ZYH-LLM-Qwen2.5-14B-V4/f8a46bda-d53b-484e-8832-7939f7d0762d.json
new file mode 100644
index 000000000..4f4bd31c8
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/YOYO-AI/ZYH-LLM-Qwen2.5-14B/c3968a2d-4a9a-4f62-8bea-a3b4b6dcd378.json b/data/hfopenllm_v2/YOYO-AI/ZYH-LLM-Qwen2.5-14B/c3968a2d-4a9a-4f62-8bea-a3b4b6dcd378.json
new file mode 100644
index 000000000..7cecb6db8
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Yash21/TinyYi-7B-Test/d6a9abee-29ee-44e0-802c-c3e4354ebbac.json b/data/hfopenllm_v2/Yash21/TinyYi-7B-Test/d6a9abee-29ee-44e0-802c-c3e4354ebbac.json
deleted file mode 100644
index 0084419b6..000000000
--- a/data/hfopenllm_v2/Yash21/TinyYi-7B-Test/d6a9abee-29ee-44e0-802c-c3e4354ebbac.json
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diff --git a/data/hfopenllm_v2/Yash21/TinyYi-7B-Test/da18242c-d6bb-4a0a-a2f9-2e42099f4e8a.json b/data/hfopenllm_v2/Yash21/TinyYi-7B-Test/da18242c-d6bb-4a0a-a2f9-2e42099f4e8a.json
new file mode 100644
index 000000000..f956d0abc
--- /dev/null
+++ b/data/hfopenllm_v2/Yash21/TinyYi-7B-Test/da18242c-d6bb-4a0a-a2f9-2e42099f4e8a.json
@@ -0,0 +1,132 @@
+{
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+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3364
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1091
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Youlln/1PARAMMYL-8B-ModelStock/87231cbd-d911-434d-991b-1eb373cdde4f.json b/data/hfopenllm_v2/Youlln/1PARAMMYL-8B-ModelStock/87231cbd-d911-434d-991b-1eb373cdde4f.json
deleted file mode 100644
index 3d1298e79..000000000
--- a/data/hfopenllm_v2/Youlln/1PARAMMYL-8B-ModelStock/87231cbd-d911-434d-991b-1eb373cdde4f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Youlln_1PARAMMYL-8B-ModelStock/1762652579.9604638",
-  "retrieved_timestamp": "1762652579.960465",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Youlln/1PARAMMYL-8B-ModelStock",
-    "developer": "Youlln",
-    "inference_platform": "unknown",
-    "id": "Youlln/1PARAMMYL-8B-ModelStock",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5371336941537344
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5215839663555125
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1487915407854985
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3238255033557047
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4409375
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4000166223404255
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Youlln/1PARAMMYL-8B-ModelStock/ac078124-85d9-4715-bf7c-1428b1063732.json b/data/hfopenllm_v2/Youlln/1PARAMMYL-8B-ModelStock/ac078124-85d9-4715-bf7c-1428b1063732.json
new file mode 100644
index 000000000..0dfc3106e
--- /dev/null
+++ b/data/hfopenllm_v2/Youlln/1PARAMMYL-8B-ModelStock/ac078124-85d9-4715-bf7c-1428b1063732.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Youlln_1PARAMMYL-8B-ModelStock/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "1PARAMMYL-8B-ModelStock",
+    "id": "Youlln/1PARAMMYL-8B-ModelStock",
+    "developer": "Youlln",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5371
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5216
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1488
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3238
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4409
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Youlln/2PRYMMAL-Yi1.5-6B-SLERP/9c1dcd75-8491-4890-ac6f-000868099a3e.json b/data/hfopenllm_v2/Youlln/2PRYMMAL-Yi1.5-6B-SLERP/9c1dcd75-8491-4890-ac6f-000868099a3e.json
new file mode 100644
index 000000000..9c066ab38
--- /dev/null
+++ b/data/hfopenllm_v2/Youlln/2PRYMMAL-Yi1.5-6B-SLERP/9c1dcd75-8491-4890-ac6f-000868099a3e.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Youlln_2PRYMMAL-Yi1.5-6B-SLERP/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "2PRYMMAL-Yi1.5-6B-SLERP",
+    "id": "Youlln/2PRYMMAL-Yi1.5-6B-SLERP",
+    "developer": "Youlln",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 6.061
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2826
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4665
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1133
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.307
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4756
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.317
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Youlln/2PRYMMAL-Yi1.5-6B-SLERP/e80773ef-5ca2-43de-ba99-a7a997aab7f0.json b/data/hfopenllm_v2/Youlln/2PRYMMAL-Yi1.5-6B-SLERP/e80773ef-5ca2-43de-ba99-a7a997aab7f0.json
deleted file mode 100644
index 672aad52d..000000000
--- a/data/hfopenllm_v2/Youlln/2PRYMMAL-Yi1.5-6B-SLERP/e80773ef-5ca2-43de-ba99-a7a997aab7f0.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Youlln_2PRYMMAL-Yi1.5-6B-SLERP/1762652579.9607239",
-  "retrieved_timestamp": "1762652579.960725",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Youlln/2PRYMMAL-Yi1.5-6B-SLERP",
-    "developer": "Youlln",
-    "inference_platform": "unknown",
-    "id": "Youlln/2PRYMMAL-Yi1.5-6B-SLERP",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 6.061
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.28259351853083153
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.46647504291710673
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11329305135951662
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3070469798657718
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.47560416666666666
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3169880319148936
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Youlln/3PRYMMAL-PHI3-3B-SLERP/7850fc57-49c7-4124-b7c6-e1e7bb2bc726.json b/data/hfopenllm_v2/Youlln/3PRYMMAL-PHI3-3B-SLERP/7850fc57-49c7-4124-b7c6-e1e7bb2bc726.json
new file mode 100644
index 000000000..d99b33828
--- /dev/null
+++ b/data/hfopenllm_v2/Youlln/3PRYMMAL-PHI3-3B-SLERP/7850fc57-49c7-4124-b7c6-e1e7bb2bc726.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Youlln_3PRYMMAL-PHI3-3B-SLERP/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "3PRYMMAL-PHI3-3B-SLERP",
+    "id": "Youlln/3PRYMMAL-PHI3-3B-SLERP",
+    "developer": "Youlln",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Phi3ForCausalLM",
+      "params_billions": 3.0
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3656
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5422
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1715
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+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3263
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4648
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4002
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Youlln/4PRYMMAL-GEMMA2-9B-SLERP/8f38374e-f373-4639-9278-24441ebd0325.json b/data/hfopenllm_v2/Youlln/4PRYMMAL-GEMMA2-9B-SLERP/8f38374e-f373-4639-9278-24441ebd0325.json
new file mode 100644
index 000000000..676bdf378
--- /dev/null
+++ b/data/hfopenllm_v2/Youlln/4PRYMMAL-GEMMA2-9B-SLERP/8f38374e-f373-4639-9278-24441ebd0325.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Youlln_4PRYMMAL-GEMMA2-9B-SLERP/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "4PRYMMAL-GEMMA2-9B-SLERP",
+    "id": "Youlln/4PRYMMAL-GEMMA2-9B-SLERP",
+    "developer": "Youlln",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Gemma2ForCausalLM",
+      "params_billions": 9.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2714
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5923
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0906
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3305
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4672
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.421
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Youlln/ECE-MIRAGE-1-12B/c007938e-3427-4896-8493-1500abdfbd2b.json b/data/hfopenllm_v2/Youlln/ECE-MIRAGE-1-12B/c007938e-3427-4896-8493-1500abdfbd2b.json
new file mode 100644
index 000000000..7f4f92c00
--- /dev/null
+++ b/data/hfopenllm_v2/Youlln/ECE-MIRAGE-1-12B/c007938e-3427-4896-8493-1500abdfbd2b.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Youlln_ECE-MIRAGE-1-12B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "ECE-MIRAGE-1-12B",
+    "id": "Youlln/ECE-MIRAGE-1-12B",
+    "developer": "Youlln",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 15.21
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.207
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3011
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2634
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3219
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.111
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Youlln/ECE-MIRAGE-1-12B/f3f55015-88c7-41ae-b588-9a1eedd56fc2.json b/data/hfopenllm_v2/Youlln/ECE-MIRAGE-1-12B/f3f55015-88c7-41ae-b588-9a1eedd56fc2.json
deleted file mode 100644
index 4e2c865d1..000000000
--- a/data/hfopenllm_v2/Youlln/ECE-MIRAGE-1-12B/f3f55015-88c7-41ae-b588-9a1eedd56fc2.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Youlln_ECE-MIRAGE-1-12B/1762652579.96142",
-  "retrieved_timestamp": "1762652579.96142",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Youlln/ECE-MIRAGE-1-12B",
-    "developer": "Youlln",
-    "inference_platform": "unknown",
-    "id": "Youlln/ECE-MIRAGE-1-12B",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 15.21
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.20698081091503875
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30107140221306034
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.0
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2634228187919463
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3219375
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11095412234042554
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Youlln/ECE-MIRAGE-1-15B/df81dc0d-6c72-49e9-862b-02e9b6642cb6.json b/data/hfopenllm_v2/Youlln/ECE-MIRAGE-1-15B/df81dc0d-6c72-49e9-862b-02e9b6642cb6.json
new file mode 100644
index 000000000..331e6d3a6
--- /dev/null
+++ b/data/hfopenllm_v2/Youlln/ECE-MIRAGE-1-15B/df81dc0d-6c72-49e9-862b-02e9b6642cb6.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Youlln_ECE-MIRAGE-1-15B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "ECE-MIRAGE-1-15B",
+    "id": "Youlln/ECE-MIRAGE-1-15B",
+    "developer": "Youlln",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 15.21
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.207
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3011
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2634
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3219
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.111
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Youlln/ECE-MIRAGE-1-15B/f904e587-76ac-4583-9235-fcdd20d9a626.json b/data/hfopenllm_v2/Youlln/ECE-MIRAGE-1-15B/f904e587-76ac-4583-9235-fcdd20d9a626.json
deleted file mode 100644
index c5e7ab98a..000000000
--- a/data/hfopenllm_v2/Youlln/ECE-MIRAGE-1-15B/f904e587-76ac-4583-9235-fcdd20d9a626.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Youlln_ECE-MIRAGE-1-15B/1762652579.961622",
-  "retrieved_timestamp": "1762652579.961622",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Youlln/ECE-MIRAGE-1-15B",
-    "developer": "Youlln",
-    "inference_platform": "unknown",
-    "id": "Youlln/ECE-MIRAGE-1-15B",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 15.21
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.20698081091503875
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30107140221306034
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.0
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2634228187919463
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3219375
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11095412234042554
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Youlln/ECE-PRYMMAL-0.5B-FT-V3-MUSR/46c96d8e-568c-48f8-a74b-9dd4b4195037.json b/data/hfopenllm_v2/Youlln/ECE-PRYMMAL-0.5B-FT-V3-MUSR/46c96d8e-568c-48f8-a74b-9dd4b4195037.json
new file mode 100644
index 000000000..89fe56fd5
--- /dev/null
+++ b/data/hfopenllm_v2/Youlln/ECE-PRYMMAL-0.5B-FT-V3-MUSR/46c96d8e-568c-48f8-a74b-9dd4b4195037.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Youlln_ECE-PRYMMAL-0.5B-FT-V3-MUSR/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "ECE-PRYMMAL-0.5B-FT-V3-MUSR",
+    "id": "Youlln/ECE-PRYMMAL-0.5B-FT-V3-MUSR",
+    "developer": "Youlln",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 0.494
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1533
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3041
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0242
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2492
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.366
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1645
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Youlln/ECE-PRYMMAL-0.5B-FT-V3-MUSR/de30a84d-c8cc-4f3c-9eb4-3f58754dc46b.json b/data/hfopenllm_v2/Youlln/ECE-PRYMMAL-0.5B-FT-V3-MUSR/de30a84d-c8cc-4f3c-9eb4-3f58754dc46b.json
deleted file mode 100644
index 340a69389..000000000
--- a/data/hfopenllm_v2/Youlln/ECE-PRYMMAL-0.5B-FT-V3-MUSR/de30a84d-c8cc-4f3c-9eb4-3f58754dc46b.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Youlln_ECE-PRYMMAL-0.5B-FT-V3-MUSR/1762652579.962029",
-  "retrieved_timestamp": "1762652579.962029",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Youlln/ECE-PRYMMAL-0.5B-FT-V3-MUSR",
-    "developer": "Youlln",
-    "inference_platform": "unknown",
-    "id": "Youlln/ECE-PRYMMAL-0.5B-FT-V3-MUSR",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 0.494
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.15334977858748122
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3041148294962408
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.02416918429003021
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.24916107382550334
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.36603125000000003
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1644780585106383
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Youlln/ECE-PRYMMAL-0.5B-FT-V3/1f4f7181-8a81-49f4-9e81-925d5d69a37c.json b/data/hfopenllm_v2/Youlln/ECE-PRYMMAL-0.5B-FT-V3/1f4f7181-8a81-49f4-9e81-925d5d69a37c.json
new file mode 100644
index 000000000..19716554b
--- /dev/null
+++ b/data/hfopenllm_v2/Youlln/ECE-PRYMMAL-0.5B-FT-V3/1f4f7181-8a81-49f4-9e81-925d5d69a37c.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Youlln_ECE-PRYMMAL-0.5B-FT-V3/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "ECE-PRYMMAL-0.5B-FT-V3",
+    "id": "Youlln/ECE-PRYMMAL-0.5B-FT-V3",
+    "developer": "Youlln",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 0.494
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1642
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3093
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.003
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2576
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3644
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1161
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Youlln/ECE-PRYMMAL-0.5B-FT-V3/45c46c5d-cf81-42d4-bf9e-61aca49b2959.json b/data/hfopenllm_v2/Youlln/ECE-PRYMMAL-0.5B-FT-V3/45c46c5d-cf81-42d4-bf9e-61aca49b2959.json
deleted file mode 100644
index 61e31eac4..000000000
--- a/data/hfopenllm_v2/Youlln/ECE-PRYMMAL-0.5B-FT-V3/45c46c5d-cf81-42d4-bf9e-61aca49b2959.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Youlln_ECE-PRYMMAL-0.5B-FT-V3/1762652579.9618208",
-  "retrieved_timestamp": "1762652579.9618208",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Youlln/ECE-PRYMMAL-0.5B-FT-V3",
-    "developer": "Youlln",
-    "inference_platform": "unknown",
-    "id": "Youlln/ECE-PRYMMAL-0.5B-FT-V3",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 0.494
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.16419101317836673
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30931341134548046
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.0030211480362537764
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2575503355704698
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3644479166666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11610704787234043
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Youlln/ECE-PRYMMAL-0.5B-FT-V4-MUSR/3ea343b6-93f6-4c61-a164-3db95d13cbdf.json b/data/hfopenllm_v2/Youlln/ECE-PRYMMAL-0.5B-FT-V4-MUSR/3ea343b6-93f6-4c61-a164-3db95d13cbdf.json
new file mode 100644
index 000000000..8d60c846e
--- /dev/null
+++ b/data/hfopenllm_v2/Youlln/ECE-PRYMMAL-0.5B-FT-V4-MUSR/3ea343b6-93f6-4c61-a164-3db95d13cbdf.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Youlln_ECE-PRYMMAL-0.5B-FT-V4-MUSR/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "ECE-PRYMMAL-0.5B-FT-V4-MUSR",
+    "id": "Youlln/ECE-PRYMMAL-0.5B-FT-V4-MUSR",
+    "developer": "Youlln",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 0.494
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1138
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3038
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0121
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+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2701
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3529
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1321
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Youlln/ECE-PRYMMAL-0.5B-FT-V4-MUSR/68382b86-8a68-428e-8338-144a76b8c293.json b/data/hfopenllm_v2/Youlln/ECE-PRYMMAL-0.5B-FT-V4-MUSR/68382b86-8a68-428e-8338-144a76b8c293.json
deleted file mode 100644
index a0b3cfc63..000000000
--- a/data/hfopenllm_v2/Youlln/ECE-PRYMMAL-0.5B-FT-V4-MUSR/68382b86-8a68-428e-8338-144a76b8c293.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Youlln_ECE-PRYMMAL-0.5B-FT-V4-MUSR/1762652579.9622452",
-  "retrieved_timestamp": "1762652579.962246",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Youlln/ECE-PRYMMAL-0.5B-FT-V4-MUSR",
-    "developer": "Youlln",
-    "inference_platform": "unknown",
-    "id": "Youlln/ECE-PRYMMAL-0.5B-FT-V4-MUSR",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 0.494
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1137570535069172
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3038362724383693
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.012084592145015106
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2701342281879195
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3528854166666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.13214760638297873
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Youlln/ECE-PRYMMAL-0.5B-SLERP-V2/a9ea8bb5-05fc-4da3-8e00-f53ab8ea6af5.json b/data/hfopenllm_v2/Youlln/ECE-PRYMMAL-0.5B-SLERP-V2/a9ea8bb5-05fc-4da3-8e00-f53ab8ea6af5.json
new file mode 100644
index 000000000..76582f768
--- /dev/null
+++ b/data/hfopenllm_v2/Youlln/ECE-PRYMMAL-0.5B-SLERP-V2/a9ea8bb5-05fc-4da3-8e00-f53ab8ea6af5.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Youlln_ECE-PRYMMAL-0.5B-SLERP-V2/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "ECE-PRYMMAL-0.5B-SLERP-V2",
+    "id": "Youlln/ECE-PRYMMAL-0.5B-SLERP-V2",
+    "developer": "Youlln",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 0.494
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1612
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2935
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0008
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2743
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3831
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1095
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Youlln/ECE-PRYMMAL-0.5B-SLERP-V2/c0fe65df-7e51-48ad-bf40-fd163804cad1.json b/data/hfopenllm_v2/Youlln/ECE-PRYMMAL-0.5B-SLERP-V2/c0fe65df-7e51-48ad-bf40-fd163804cad1.json
deleted file mode 100644
index c0d56a777..000000000
--- a/data/hfopenllm_v2/Youlln/ECE-PRYMMAL-0.5B-SLERP-V2/c0fe65df-7e51-48ad-bf40-fd163804cad1.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Youlln_ECE-PRYMMAL-0.5B-SLERP-V2/1762652579.962454",
-  "retrieved_timestamp": "1762652579.962455",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Youlln/ECE-PRYMMAL-0.5B-SLERP-V2",
-    "developer": "Youlln",
-    "inference_platform": "unknown",
-    "id": "Youlln/ECE-PRYMMAL-0.5B-SLERP-V2",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 0.494
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1611934112599015
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2934774313772131
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.0007552870090634441
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.27432885906040266
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3831145833333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.10945811170212766
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Youlln/ECE-PRYMMAL-0.5B-SLERP-V3/0ea74ce5-43c9-43eb-92bc-3d928062d9e0.json b/data/hfopenllm_v2/Youlln/ECE-PRYMMAL-0.5B-SLERP-V3/0ea74ce5-43c9-43eb-92bc-3d928062d9e0.json
new file mode 100644
index 000000000..cf85a25de
--- /dev/null
+++ b/data/hfopenllm_v2/Youlln/ECE-PRYMMAL-0.5B-SLERP-V3/0ea74ce5-43c9-43eb-92bc-3d928062d9e0.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Youlln_ECE-PRYMMAL-0.5B-SLERP-V3/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "ECE-PRYMMAL-0.5B-SLERP-V3",
+    "id": "Youlln/ECE-PRYMMAL-0.5B-SLERP-V3",
+    "developer": "Youlln",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 0.494
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.167
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2938
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2517
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3541
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1087
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Youlln/ECE-PRYMMAL-0.5B-SLERP-V3/d67c4d9a-d5cc-4b26-a439-44c87a299ee8.json b/data/hfopenllm_v2/Youlln/ECE-PRYMMAL-0.5B-SLERP-V3/d67c4d9a-d5cc-4b26-a439-44c87a299ee8.json
deleted file mode 100644
index 3359ccf0d..000000000
--- a/data/hfopenllm_v2/Youlln/ECE-PRYMMAL-0.5B-SLERP-V3/d67c4d9a-d5cc-4b26-a439-44c87a299ee8.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Youlln_ECE-PRYMMAL-0.5B-SLERP-V3/1762652579.9626722",
-  "retrieved_timestamp": "1762652579.9626722",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Youlln/ECE-PRYMMAL-0.5B-SLERP-V3",
-    "developer": "Youlln",
-    "inference_platform": "unknown",
-    "id": "Youlln/ECE-PRYMMAL-0.5B-SLERP-V3",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 0.494
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.16701352411601217
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.29383772587210827
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.0
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2516778523489933
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.354125
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.10871010638297872
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Youlln/ECE-PRYMMAL-YL-1B-SLERP-V1/6896faa7-7204-4091-8f4e-9cc0b53d673a.json b/data/hfopenllm_v2/Youlln/ECE-PRYMMAL-YL-1B-SLERP-V1/6896faa7-7204-4091-8f4e-9cc0b53d673a.json
new file mode 100644
index 000000000..af72a7152
--- /dev/null
+++ b/data/hfopenllm_v2/Youlln/ECE-PRYMMAL-YL-1B-SLERP-V1/6896faa7-7204-4091-8f4e-9cc0b53d673a.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Youlln_ECE-PRYMMAL-YL-1B-SLERP-V1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "ECE-PRYMMAL-YL-1B-SLERP-V1",
+    "id": "Youlln/ECE-PRYMMAL-YL-1B-SLERP-V1",
+    "developer": "Youlln",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 1.544
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3251
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4209
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1073
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2911
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4266
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2936
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Youlln/ECE-PRYMMAL-YL-1B-SLERP-V1/70577ab1-a0ef-41f3-8d6a-00b0b873ee39.json b/data/hfopenllm_v2/Youlln/ECE-PRYMMAL-YL-1B-SLERP-V1/70577ab1-a0ef-41f3-8d6a-00b0b873ee39.json
deleted file mode 100644
index 9b4a8b47c..000000000
--- a/data/hfopenllm_v2/Youlln/ECE-PRYMMAL-YL-1B-SLERP-V1/70577ab1-a0ef-41f3-8d6a-00b0b873ee39.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Youlln_ECE-PRYMMAL-YL-1B-SLERP-V1/1762652579.962892",
-  "retrieved_timestamp": "1762652579.962893",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Youlln/ECE-PRYMMAL-YL-1B-SLERP-V1",
-    "developer": "Youlln",
-    "inference_platform": "unknown",
-    "id": "Youlln/ECE-PRYMMAL-YL-1B-SLERP-V1",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 1.544
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.32510848991786234
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4208506248736219
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.10725075528700906
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2911073825503356
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4265833333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2935505319148936
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Youlln/ECE-PRYMMAL-YL-1B-SLERP-V2/6021f954-951a-47e1-980d-ce729f9f39b4.json b/data/hfopenllm_v2/Youlln/ECE-PRYMMAL-YL-1B-SLERP-V2/6021f954-951a-47e1-980d-ce729f9f39b4.json
deleted file mode 100644
index 86f751909..000000000
--- a/data/hfopenllm_v2/Youlln/ECE-PRYMMAL-YL-1B-SLERP-V2/6021f954-951a-47e1-980d-ce729f9f39b4.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Youlln_ECE-PRYMMAL-YL-1B-SLERP-V2/1762652579.963118",
-  "retrieved_timestamp": "1762652579.963118",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Youlln/ECE-PRYMMAL-YL-1B-SLERP-V2",
-    "developer": "Youlln",
-    "inference_platform": "unknown",
-    "id": "Youlln/ECE-PRYMMAL-YL-1B-SLERP-V2",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 1.544
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.32510848991786234
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4208506248736219
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.10725075528700906
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2911073825503356
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4265833333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2935505319148936
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Youlln/ECE-PRYMMAL-YL-1B-SLERP-V2/88064453-fd8c-4bd9-adf1-39f43972bec1.json b/data/hfopenllm_v2/Youlln/ECE-PRYMMAL-YL-1B-SLERP-V2/88064453-fd8c-4bd9-adf1-39f43972bec1.json
new file mode 100644
index 000000000..b5b27cb03
--- /dev/null
+++ b/data/hfopenllm_v2/Youlln/ECE-PRYMMAL-YL-1B-SLERP-V2/88064453-fd8c-4bd9-adf1-39f43972bec1.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Youlln_ECE-PRYMMAL-YL-1B-SLERP-V2/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "ECE-PRYMMAL-YL-1B-SLERP-V2",
+    "id": "Youlln/ECE-PRYMMAL-YL-1B-SLERP-V2",
+    "developer": "Youlln",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 1.544
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3251
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4209
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1073
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2911
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4266
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2936
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Youlln/ECE-PRYMMAL-YL-7B-SLERP-V4/a18ade45-acba-4059-b969-445e529a82e2.json b/data/hfopenllm_v2/Youlln/ECE-PRYMMAL-YL-7B-SLERP-V4/a18ade45-acba-4059-b969-445e529a82e2.json
new file mode 100644
index 000000000..b630ec36d
--- /dev/null
+++ b/data/hfopenllm_v2/Youlln/ECE-PRYMMAL-YL-7B-SLERP-V4/a18ade45-acba-4059-b969-445e529a82e2.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Youlln_ECE-PRYMMAL-YL-7B-SLERP-V4/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "ECE-PRYMMAL-YL-7B-SLERP-V4",
+    "id": "Youlln/ECE-PRYMMAL-YL-7B-SLERP-V4",
+    "developer": "Youlln",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.251
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.377
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0536
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2651
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3745
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2132
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Youlln/ECE-PRYMMAL-YL-7B-SLERP-V4/e027a39b-1213-42aa-b66f-b1853c644532.json b/data/hfopenllm_v2/Youlln/ECE-PRYMMAL-YL-7B-SLERP-V4/e027a39b-1213-42aa-b66f-b1853c644532.json
deleted file mode 100644
index 7b8b26c0b..000000000
--- a/data/hfopenllm_v2/Youlln/ECE-PRYMMAL-YL-7B-SLERP-V4/e027a39b-1213-42aa-b66f-b1853c644532.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-    "developer": "Youlln",
-    "inference_platform": "unknown",
-    "id": "Youlln/ECE-PRYMMAL-YL-7B-SLERP-V4",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.616
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-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    }
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-}
diff --git a/data/hfopenllm_v2/Youlln/ECE-PRYMMAL0.5-FT/4264c0fc-9f40-4c27-b877-63a751678a1c.json b/data/hfopenllm_v2/Youlln/ECE-PRYMMAL0.5-FT/4264c0fc-9f40-4c27-b877-63a751678a1c.json
deleted file mode 100644
index d0534277a..000000000
--- a/data/hfopenllm_v2/Youlln/ECE-PRYMMAL0.5-FT/4264c0fc-9f40-4c27-b877-63a751678a1c.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/Youlln_ECE-PRYMMAL0.5-FT/1762652579.963541",
-  "retrieved_timestamp": "1762652579.963541",
-  "source_data": [
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-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Youlln/ECE-PRYMMAL0.5-FT",
-    "developer": "Youlln",
-    "inference_platform": "unknown",
-    "id": "Youlln/ECE-PRYMMAL0.5-FT",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 0.494
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.18507338306803725
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.31320911187036277
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-      "score_details": {
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-    },
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
-        "score": 0.2558724832214765
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.330125
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.14768949468085107
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Youlln/ECE-PRYMMAL0.5-FT/6c0e4132-71e7-44af-95fc-83b0a6be2a82.json b/data/hfopenllm_v2/Youlln/ECE-PRYMMAL0.5-FT/6c0e4132-71e7-44af-95fc-83b0a6be2a82.json
new file mode 100644
index 000000000..67a332158
--- /dev/null
+++ b/data/hfopenllm_v2/Youlln/ECE-PRYMMAL0.5-FT/6c0e4132-71e7-44af-95fc-83b0a6be2a82.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Youlln_ECE-PRYMMAL0.5-FT/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "ECE-PRYMMAL0.5-FT",
+    "id": "Youlln/ECE-PRYMMAL0.5-FT",
+    "developer": "Youlln",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 0.494
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1851
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3132
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0234
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2559
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3301
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1477
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Youlln/ECE-PRYMMAL0.5B-Youri/46564b0a-1489-4c98-9e7b-20daf58c2f87.json b/data/hfopenllm_v2/Youlln/ECE-PRYMMAL0.5B-Youri/46564b0a-1489-4c98-9e7b-20daf58c2f87.json
deleted file mode 100644
index dfbb89e3e..000000000
--- a/data/hfopenllm_v2/Youlln/ECE-PRYMMAL0.5B-Youri/46564b0a-1489-4c98-9e7b-20daf58c2f87.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/Youlln_ECE-PRYMMAL0.5B-Youri/1762652579.963748",
-  "retrieved_timestamp": "1762652579.9637492",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Youlln/ECE-PRYMMAL0.5B-Youri",
-    "developer": "Youlln",
-    "inference_platform": "unknown",
-    "id": "Youlln/ECE-PRYMMAL0.5B-Youri",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 0.63
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1446317991817267
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.28173574256265815
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.0
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.24328859060402686
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.36965625
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.10954122340425532
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Youlln/ECE-PRYMMAL0.5B-Youri/5d9ab422-4f4f-460d-bd39-51266b43d7e5.json b/data/hfopenllm_v2/Youlln/ECE-PRYMMAL0.5B-Youri/5d9ab422-4f4f-460d-bd39-51266b43d7e5.json
new file mode 100644
index 000000000..21bba30b8
--- /dev/null
+++ b/data/hfopenllm_v2/Youlln/ECE-PRYMMAL0.5B-Youri/5d9ab422-4f4f-460d-bd39-51266b43d7e5.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Youlln_ECE-PRYMMAL0.5B-Youri/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "ECE-PRYMMAL0.5B-Youri",
+    "id": "Youlln/ECE-PRYMMAL0.5B-Youri",
+    "developer": "Youlln",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 0.63
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1446
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2817
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2433
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3697
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1095
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Youlln/ECE-PRYMMAL1B-FT-V1/c3a0b587-b379-4013-a5ce-26fdc9dcc44d.json b/data/hfopenllm_v2/Youlln/ECE-PRYMMAL1B-FT-V1/c3a0b587-b379-4013-a5ce-26fdc9dcc44d.json
deleted file mode 100644
index b47573d37..000000000
--- a/data/hfopenllm_v2/Youlln/ECE-PRYMMAL1B-FT-V1/c3a0b587-b379-4013-a5ce-26fdc9dcc44d.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Youlln_ECE-PRYMMAL1B-FT-V1/1762652579.963949",
-  "retrieved_timestamp": "1762652579.9639502",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Youlln/ECE-PRYMMAL1B-FT-V1",
-    "developer": "Youlln",
-    "inference_platform": "unknown",
-    "id": "Youlln/ECE-PRYMMAL1B-FT-V1",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 1.544
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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diff --git a/data/hfopenllm_v2/Youlln/ECE-PRYMMAL1B-FT-V1/cda03c45-0782-40cc-a17d-67d808657b83.json b/data/hfopenllm_v2/Youlln/ECE-PRYMMAL1B-FT-V1/cda03c45-0782-40cc-a17d-67d808657b83.json
new file mode 100644
index 000000000..1633dc538
--- /dev/null
+++ b/data/hfopenllm_v2/Youlln/ECE-PRYMMAL1B-FT-V1/cda03c45-0782-40cc-a17d-67d808657b83.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Youlln_ECE-PRYMMAL1B-FT-V1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "ECE-PRYMMAL1B-FT-V1",
+    "id": "Youlln/ECE-PRYMMAL1B-FT-V1",
+    "developer": "Youlln",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 1.544
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2144
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4033
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0642
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2785
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3417
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2743
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Youlln/ECE-Qwen0.5B-FT-V2/50f5451b-41c4-4ba5-8bee-ee8a2deb7e79.json b/data/hfopenllm_v2/Youlln/ECE-Qwen0.5B-FT-V2/50f5451b-41c4-4ba5-8bee-ee8a2deb7e79.json
new file mode 100644
index 000000000..01985d185
--- /dev/null
+++ b/data/hfopenllm_v2/Youlln/ECE-Qwen0.5B-FT-V2/50f5451b-41c4-4ba5-8bee-ee8a2deb7e79.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Youlln_ECE-Qwen0.5B-FT-V2/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "ECE-Qwen0.5B-FT-V2",
+    "id": "Youlln/ECE-Qwen0.5B-FT-V2",
+    "developer": "Youlln",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 0.494
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2526
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.329
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0204
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2668
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3063
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1666
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Youlln/ECE-Qwen0.5B-FT-V2/ee8952db-9f0a-4892-bff9-4d2ca1b66364.json b/data/hfopenllm_v2/Youlln/ECE-Qwen0.5B-FT-V2/ee8952db-9f0a-4892-bff9-4d2ca1b66364.json
deleted file mode 100644
index 9b8d0d372..000000000
--- a/data/hfopenllm_v2/Youlln/ECE-Qwen0.5B-FT-V2/ee8952db-9f0a-4892-bff9-4d2ca1b66364.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Youlln_ECE-Qwen0.5B-FT-V2/1762652579.9641678",
-  "retrieved_timestamp": "1762652579.964169",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Youlln/ECE-Qwen0.5B-FT-V2",
-    "developer": "Youlln",
-    "inference_platform": "unknown",
-    "id": "Youlln/ECE-Qwen0.5B-FT-V2",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 0.494
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
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-    },
-    {
-      "evaluation_name": "BBH",
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-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-      "score_details": {
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-    },
-    {
-      "evaluation_name": "GPQA",
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30628125
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.16655585106382978
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Youlln/ECE.EIFFEIL.ia-0.5B-SLERP/7a5fdffa-146b-43fd-a979-728c37ae599f.json b/data/hfopenllm_v2/Youlln/ECE.EIFFEIL.ia-0.5B-SLERP/7a5fdffa-146b-43fd-a979-728c37ae599f.json
deleted file mode 100644
index b3e1a1f36..000000000
--- a/data/hfopenllm_v2/Youlln/ECE.EIFFEIL.ia-0.5B-SLERP/7a5fdffa-146b-43fd-a979-728c37ae599f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Youlln_ECE.EIFFEIL.ia-0.5B-SLERP/1762652579.964375",
-  "retrieved_timestamp": "1762652579.964375",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Youlln/ECE.EIFFEIL.ia-0.5B-SLERP",
-    "developer": "Youlln",
-    "inference_platform": "unknown",
-    "id": "Youlln/ECE.EIFFEIL.ia-0.5B-SLERP",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 0.63
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.33056720460862643
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.05966767371601209
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2651006711409396
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.31021875
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1903257978723404
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/Youlln/ECE.EIFFEIL.ia-0.5B-SLERP/cf758994-6e94-434d-bf68-74cca188b5e8.json b/data/hfopenllm_v2/Youlln/ECE.EIFFEIL.ia-0.5B-SLERP/cf758994-6e94-434d-bf68-74cca188b5e8.json
new file mode 100644
index 000000000..69c6a2377
--- /dev/null
+++ b/data/hfopenllm_v2/Youlln/ECE.EIFFEIL.ia-0.5B-SLERP/cf758994-6e94-434d-bf68-74cca188b5e8.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Youlln_ECE.EIFFEIL.ia-0.5B-SLERP/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "ECE.EIFFEIL.ia-0.5B-SLERP",
+    "id": "Youlln/ECE.EIFFEIL.ia-0.5B-SLERP",
+    "developer": "Youlln",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 0.63
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2561
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3306
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0597
+      }
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/YoungPanda/qwenqwen/611f9549-0788-44e9-8125-18df06cd80d6.json b/data/hfopenllm_v2/YoungPanda/qwenqwen/611f9549-0788-44e9-8125-18df06cd80d6.json
new file mode 100644
index 000000000..92e685942
--- /dev/null
+++ b/data/hfopenllm_v2/YoungPanda/qwenqwen/611f9549-0788-44e9-8125-18df06cd80d6.json
@@ -0,0 +1,132 @@
+{
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+  "source_metadata": {
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+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
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+  "model_info": {
+    "name": "qwenqwen",
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+    "developer": "YoungPanda",
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+    "additional_details": {
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+      "params_billions": 14.316
+    }
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+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Yuma42/KangalKhan-RawRuby-7B/4ad4a260-770a-4cce-9ba7-546cfa4cde58.json b/data/hfopenllm_v2/Yuma42/KangalKhan-RawRuby-7B/4ad4a260-770a-4cce-9ba7-546cfa4cde58.json
deleted file mode 100644
index feb023541..000000000
--- a/data/hfopenllm_v2/Yuma42/KangalKhan-RawRuby-7B/4ad4a260-770a-4cce-9ba7-546cfa4cde58.json
+++ /dev/null
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-    "id": "Yuma42/KangalKhan-RawRuby-7B",
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-}
diff --git a/data/hfopenllm_v2/Yuma42/KangalKhan-RawRuby-7B/59cf23ba-027d-4bac-a0e1-526376396b4d.json b/data/hfopenllm_v2/Yuma42/KangalKhan-RawRuby-7B/59cf23ba-027d-4bac-a0e1-526376396b4d.json
new file mode 100644
index 000000000..2c57a54ac
--- /dev/null
+++ b/data/hfopenllm_v2/Yuma42/KangalKhan-RawRuby-7B/59cf23ba-027d-4bac-a0e1-526376396b4d.json
@@ -0,0 +1,132 @@
+{
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+  "source_metadata": {
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+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
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+    "id": "Yuma42/KangalKhan-RawRuby-7B",
+    "developer": "Yuma42",
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+        "hf_repo": "SaylorTwift/bbh"
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+      },
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+        "hf_repo": "TAUR-Lab/MuSR"
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
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+        "evaluation_description": "Accuracy on MMLU-PRO",
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Yuma42/Llama3.1-IgneousIguana-8B/1f02bbd3-ddaf-4db6-b7f8-31bad8ffac66.json b/data/hfopenllm_v2/Yuma42/Llama3.1-IgneousIguana-8B/1f02bbd3-ddaf-4db6-b7f8-31bad8ffac66.json
new file mode 100644
index 000000000..168e27964
--- /dev/null
+++ b/data/hfopenllm_v2/Yuma42/Llama3.1-IgneousIguana-8B/1f02bbd3-ddaf-4db6-b7f8-31bad8ffac66.json
@@ -0,0 +1,132 @@
+{
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+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
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+  "model_info": {
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+    "id": "Yuma42/Llama3.1-IgneousIguana-8B",
+    "developer": "Yuma42",
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+        "hf_repo": "SaylorTwift/bbh"
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+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
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+        "hf_repo": "TAUR-Lab/MuSR"
+      },
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+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Yuma42/Llama3.1-SuperHawk-8B/1e737e28-d926-43e8-9e4c-e39fa91d7977.json b/data/hfopenllm_v2/Yuma42/Llama3.1-SuperHawk-8B/1e737e28-d926-43e8-9e4c-e39fa91d7977.json
new file mode 100644
index 000000000..75ea95504
--- /dev/null
+++ b/data/hfopenllm_v2/Yuma42/Llama3.1-SuperHawk-8B/1e737e28-d926-43e8-9e4c-e39fa91d7977.json
@@ -0,0 +1,132 @@
+{
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+  "source_metadata": {
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+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
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+  "model_info": {
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+    "developer": "Yuma42",
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+        "hf_repo": "SaylorTwift/bbh"
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+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "max_score": 1.0
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+      "score_details": {
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+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
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+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2349
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4084
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3945
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Z1-Coder/Z1-Coder-7B/43ef8eee-5d8a-47e7-ac71-1a898421370a.json b/data/hfopenllm_v2/Z1-Coder/Z1-Coder-7B/43ef8eee-5d8a-47e7-ac71-1a898421370a.json
new file mode 100644
index 000000000..49916e11f
--- /dev/null
+++ b/data/hfopenllm_v2/Z1-Coder/Z1-Coder-7B/43ef8eee-5d8a-47e7-ac71-1a898421370a.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/Z1-Coder_Z1-Coder-7B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Z1-Coder-7B",
+    "id": "Z1-Coder/Z1-Coder-7B",
+    "developer": "Z1-Coder",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.613
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3215
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4842
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3248
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2727
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3622
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3759
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/Z1-Coder/Z1-Coder-7B/750b35ad-fdf6-4243-91e7-aee90f84fa5b.json b/data/hfopenllm_v2/Z1-Coder/Z1-Coder-7B/750b35ad-fdf6-4243-91e7-aee90f84fa5b.json
deleted file mode 100644
index 3cbd50580..000000000
--- a/data/hfopenllm_v2/Z1-Coder/Z1-Coder-7B/750b35ad-fdf6-4243-91e7-aee90f84fa5b.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Z1-Coder_Z1-Coder-7B/1762652579.9655669",
-  "retrieved_timestamp": "1762652579.965568",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Z1-Coder/Z1-Coder-7B",
-    "developer": "Z1-Coder",
-    "inference_platform": "unknown",
-    "id": "Z1-Coder/Z1-Coder-7B",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.613
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3215113676157041
-      }
-    },
-    {
-      "evaluation_name": "BBH",
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-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.48418251218099567
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
-        "score": 0.324773413897281
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2726510067114094
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.36215625
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37591422872340424
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/ZHLiu627/zephyr-7b-gemma-dpo-avg/856a1f50-7ffb-4eb1-be4a-8aaa3cd6ee66.json b/data/hfopenllm_v2/ZHLiu627/zephyr-7b-gemma-dpo-avg/856a1f50-7ffb-4eb1-be4a-8aaa3cd6ee66.json
deleted file mode 100644
index 9eb63a815..000000000
--- a/data/hfopenllm_v2/ZHLiu627/zephyr-7b-gemma-dpo-avg/856a1f50-7ffb-4eb1-be4a-8aaa3cd6ee66.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/ZHLiu627_zephyr-7b-gemma-dpo-avg/1762652579.9658082",
-  "retrieved_timestamp": "1762652579.9658089",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "ZHLiu627/zephyr-7b-gemma-dpo-avg",
-    "developer": "ZHLiu627",
-    "inference_platform": "unknown",
-    "id": "ZHLiu627/zephyr-7b-gemma-dpo-avg",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "GemmaForCausalLM",
-      "params_billions": 8.538
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-    },
-    {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2785234899328859
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4107083333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.28507313829787234
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/ZHLiu627/zephyr-7b-gemma-dpo-avg/d8d03c71-942f-4aff-8a5e-5c265c639b44.json b/data/hfopenllm_v2/ZHLiu627/zephyr-7b-gemma-dpo-avg/d8d03c71-942f-4aff-8a5e-5c265c639b44.json
new file mode 100644
index 000000000..8775cade5
--- /dev/null
+++ b/data/hfopenllm_v2/ZHLiu627/zephyr-7b-gemma-dpo-avg/d8d03c71-942f-4aff-8a5e-5c265c639b44.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/ZHLiu627_zephyr-7b-gemma-dpo-avg/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "zephyr-7b-gemma-dpo-avg",
+    "id": "ZHLiu627/zephyr-7b-gemma-dpo-avg",
+    "developer": "ZHLiu627",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "GemmaForCausalLM",
+      "params_billions": 8.538
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.309
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4149
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0453
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2785
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4107
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2851
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/ZHLiu627/zephyr-7b-gemma-rpo-avg/96262938-1146-4993-92a1-a2ddb2519f8a.json b/data/hfopenllm_v2/ZHLiu627/zephyr-7b-gemma-rpo-avg/96262938-1146-4993-92a1-a2ddb2519f8a.json
new file mode 100644
index 000000000..399559c0f
--- /dev/null
+++ b/data/hfopenllm_v2/ZHLiu627/zephyr-7b-gemma-rpo-avg/96262938-1146-4993-92a1-a2ddb2519f8a.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/ZHLiu627_zephyr-7b-gemma-rpo-avg/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "zephyr-7b-gemma-rpo-avg",
+    "id": "ZHLiu627/zephyr-7b-gemma-rpo-avg",
+    "developer": "ZHLiu627",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "GemmaForCausalLM",
+      "params_billions": 8.538
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3006
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4183
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
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+        "hf_repo": "TIGER-Lab/MMLU-Pro"
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/ZeroXClem/L3-Aspire-Heart-Matrix-8B/292d7cfb-3e3c-47d8-8cca-33507f9ff081.json b/data/hfopenllm_v2/ZeroXClem/L3-Aspire-Heart-Matrix-8B/292d7cfb-3e3c-47d8-8cca-33507f9ff081.json
new file mode 100644
index 000000000..8a789283c
--- /dev/null
+++ b/data/hfopenllm_v2/ZeroXClem/L3-Aspire-Heart-Matrix-8B/292d7cfb-3e3c-47d8-8cca-33507f9ff081.json
@@ -0,0 +1,132 @@
+{
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+    "id": "ZeroXClem/L3-Aspire-Heart-Matrix-8B",
+    "developer": "ZeroXClem",
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+        "hf_repo": "SaylorTwift/bbh"
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+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
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+        "evaluation_description": "Exact Match on MATH Level 5",
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+        "hf_repo": "TAUR-Lab/MuSR"
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+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
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+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/ZeroXClem/L3-Aspire-Heart-Matrix-8B/e6d8d952-5a3d-4a97-860c-8275b10c6516.json b/data/hfopenllm_v2/ZeroXClem/L3-Aspire-Heart-Matrix-8B/e6d8d952-5a3d-4a97-860c-8275b10c6516.json
deleted file mode 100644
index ef9fa6b92..000000000
--- a/data/hfopenllm_v2/ZeroXClem/L3-Aspire-Heart-Matrix-8B/e6d8d952-5a3d-4a97-860c-8275b10c6516.json
+++ /dev/null
@@ -1,105 +0,0 @@
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-    "developer": "ZeroXClem",
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diff --git a/data/hfopenllm_v2/ZeroXClem/Llama-3.1-8B-AthenaSky-MegaMix/3f29c10f-57ef-435b-85df-2cae30ae72fa.json b/data/hfopenllm_v2/ZeroXClem/Llama-3.1-8B-AthenaSky-MegaMix/3f29c10f-57ef-435b-85df-2cae30ae72fa.json
new file mode 100644
index 000000000..a87472533
--- /dev/null
+++ b/data/hfopenllm_v2/ZeroXClem/Llama-3.1-8B-AthenaSky-MegaMix/3f29c10f-57ef-435b-85df-2cae30ae72fa.json
@@ -0,0 +1,132 @@
+{
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+  "evaluation_id": "hfopenllm_v2/ZeroXClem_Llama-3.1-8B-AthenaSky-MegaMix/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-3.1-8B-AthenaSky-MegaMix",
+    "id": "ZeroXClem/Llama-3.1-8B-AthenaSky-MegaMix",
+    "developer": "ZeroXClem",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
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+    }
+  },
+  "evaluation_results": [
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
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+      },
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+    },
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
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+        "score_type": "continuous",
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+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
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+        "evaluation_description": "Exact Match on MATH Level 5",
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+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
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+        "lower_is_better": false,
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+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
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+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+    },
+    {
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+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/ZeroXClem/Llama-3.1-8B-RainbowLight-EtherealMix/d7f022fe-86cb-4e4e-a672-62c2dc8cffd3.json b/data/hfopenllm_v2/ZeroXClem/Llama-3.1-8B-RainbowLight-EtherealMix/d7f022fe-86cb-4e4e-a672-62c2dc8cffd3.json
new file mode 100644
index 000000000..eb07cdad6
--- /dev/null
+++ b/data/hfopenllm_v2/ZeroXClem/Llama-3.1-8B-RainbowLight-EtherealMix/d7f022fe-86cb-4e4e-a672-62c2dc8cffd3.json
@@ -0,0 +1,132 @@
+{
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+  "evaluation_id": "hfopenllm_v2/ZeroXClem_Llama-3.1-8B-RainbowLight-EtherealMix/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-3.1-8B-RainbowLight-EtherealMix",
+    "id": "ZeroXClem/Llama-3.1-8B-RainbowLight-EtherealMix",
+    "developer": "ZeroXClem",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
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+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5155
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+    },
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+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
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+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
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+        "evaluation_description": "Accuracy on MMLU-PRO",
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+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.363
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/ZeroXClem/Llama-3.1-8B-SpecialTitanFusion/baa35c90-c494-4dff-af28-cb549e40bed8.json b/data/hfopenllm_v2/ZeroXClem/Llama-3.1-8B-SpecialTitanFusion/baa35c90-c494-4dff-af28-cb549e40bed8.json
new file mode 100644
index 000000000..4a6a4d956
--- /dev/null
+++ b/data/hfopenllm_v2/ZeroXClem/Llama-3.1-8B-SpecialTitanFusion/baa35c90-c494-4dff-af28-cb549e40bed8.json
@@ -0,0 +1,132 @@
+{
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+  "evaluation_id": "hfopenllm_v2/ZeroXClem_Llama-3.1-8B-SpecialTitanFusion/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-3.1-8B-SpecialTitanFusion",
+    "id": "ZeroXClem/Llama-3.1-8B-SpecialTitanFusion",
+    "developer": "ZeroXClem",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
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+        "score_type": "continuous",
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+        "max_score": 1.0
+      },
+      "score_details": {
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+    },
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+      "evaluation_name": "BBH",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+    },
+    {
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/ZeroXClem/Llama-3.1-8B-SuperNova-EtherealHermes/2fdc3186-6791-4550-ac4f-a1a5a5a1d514.json b/data/hfopenllm_v2/ZeroXClem/Llama-3.1-8B-SuperNova-EtherealHermes/2fdc3186-6791-4550-ac4f-a1a5a5a1d514.json
new file mode 100644
index 000000000..554e92142
--- /dev/null
+++ b/data/hfopenllm_v2/ZeroXClem/Llama-3.1-8B-SuperNova-EtherealHermes/2fdc3186-6791-4550-ac4f-a1a5a5a1d514.json
@@ -0,0 +1,132 @@
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diff --git a/data/hfopenllm_v2/ZeroXClem/Llama-3.1-8B-SuperTulu-LexiNova/f687df8b-42b5-4d94-b741-1b516d9221b2.json b/data/hfopenllm_v2/ZeroXClem/Llama-3.1-8B-SuperTulu-LexiNova/f687df8b-42b5-4d94-b741-1b516d9221b2.json
new file mode 100644
index 000000000..561402998
--- /dev/null
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/ZeroXClem/Qwen-2.5-Aether-SlerpFusion-7B/c3a8a952-6869-4eee-a59f-4ae33ac72986.json b/data/hfopenllm_v2/ZeroXClem/Qwen-2.5-Aether-SlerpFusion-7B/c3a8a952-6869-4eee-a59f-4ae33ac72986.json
new file mode 100644
index 000000000..352964db5
--- /dev/null
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@@ -0,0 +1,132 @@
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/ZeroXClem/Qwen2.5-7B-CelestialHarmony-1M/a7a74117-71e4-49b2-bd65-add82c9165d8.json b/data/hfopenllm_v2/ZeroXClem/Qwen2.5-7B-CelestialHarmony-1M/a7a74117-71e4-49b2-bd65-add82c9165d8.json
new file mode 100644
index 000000000..1324b28ff
--- /dev/null
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@@ -0,0 +1,132 @@
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/ZeroXClem/Qwen2.5-7B-HomerAnvita-NerdMix/04ee694c-0c89-4f25-b10f-315a24743ba2.json b/data/hfopenllm_v2/ZeroXClem/Qwen2.5-7B-HomerAnvita-NerdMix/04ee694c-0c89-4f25-b10f-315a24743ba2.json
new file mode 100644
index 000000000..444e35d1b
--- /dev/null
+++ b/data/hfopenllm_v2/ZeroXClem/Qwen2.5-7B-HomerAnvita-NerdMix/04ee694c-0c89-4f25-b10f-315a24743ba2.json
@@ -0,0 +1,132 @@
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/ZeroXClem/Qwen2.5-7B-HomerCreative-Mix/47fd4acb-acc3-4f12-8af5-c425d3754c38.json b/data/hfopenllm_v2/ZeroXClem/Qwen2.5-7B-HomerCreative-Mix/47fd4acb-acc3-4f12-8af5-c425d3754c38.json
new file mode 100644
index 000000000..3f9b0472a
--- /dev/null
+++ b/data/hfopenllm_v2/ZeroXClem/Qwen2.5-7B-HomerCreative-Mix/47fd4acb-acc3-4f12-8af5-c425d3754c38.json
@@ -0,0 +1,132 @@
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/ZeroXClem/Qwen2.5-7B-Qandora-CySec/e19577f5-d1ba-45ad-8500-d18ae2b14440.json b/data/hfopenllm_v2/ZeroXClem/Qwen2.5-7B-Qandora-CySec/e19577f5-d1ba-45ad-8500-d18ae2b14440.json
new file mode 100644
index 000000000..b81b82415
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+++ b/data/hfopenllm_v2/ZeroXClem/Qwen2.5-7B-Qandora-CySec/e19577f5-d1ba-45ad-8500-d18ae2b14440.json
@@ -0,0 +1,132 @@
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/ZeusLabs/L3-Aethora-15B-V2/0e9ed58c-1a3e-49b4-8013-994642a95920.json b/data/hfopenllm_v2/ZeusLabs/L3-Aethora-15B-V2/0e9ed58c-1a3e-49b4-8013-994642a95920.json
deleted file mode 100644
index c030d9840..000000000
--- a/data/hfopenllm_v2/ZeusLabs/L3-Aethora-15B-V2/0e9ed58c-1a3e-49b4-8013-994642a95920.json
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diff --git a/data/hfopenllm_v2/ZeusLabs/L3-Aethora-15B-V2/e86443cd-453b-4ca0-8e7e-054764fe4bb9.json b/data/hfopenllm_v2/ZeusLabs/L3-Aethora-15B-V2/e86443cd-453b-4ca0-8e7e-054764fe4bb9.json
new file mode 100644
index 000000000..575ec1a14
--- /dev/null
+++ b/data/hfopenllm_v2/ZeusLabs/L3-Aethora-15B-V2/e86443cd-453b-4ca0-8e7e-054764fe4bb9.json
@@ -0,0 +1,132 @@
+{
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/ZhangShenao/SELM-Llama-3-8B-Instruct-iter-3/24cd9977-f3fb-4619-aea1-59e1a36b2a5e.json b/data/hfopenllm_v2/ZhangShenao/SELM-Llama-3-8B-Instruct-iter-3/24cd9977-f3fb-4619-aea1-59e1a36b2a5e.json
new file mode 100644
index 000000000..63d3d967e
--- /dev/null
+++ b/data/hfopenllm_v2/ZhangShenao/SELM-Llama-3-8B-Instruct-iter-3/24cd9977-f3fb-4619-aea1-59e1a36b2a5e.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/ZhangShenao_SELM-Llama-3-8B-Instruct-iter-3/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "SELM-Llama-3-8B-Instruct-iter-3",
+    "id": "ZhangShenao/SELM-Llama-3-8B-Instruct-iter-3",
+    "developer": "ZhangShenao",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6903
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5046
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0861
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2584
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3845
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3783
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/ZhangShenao/SELM-Llama-3-8B-Instruct-iter-3/6bf4063b-44aa-4809-a400-5406abe5eb2e.json b/data/hfopenllm_v2/ZhangShenao/SELM-Llama-3-8B-Instruct-iter-3/6bf4063b-44aa-4809-a400-5406abe5eb2e.json
deleted file mode 100644
index e9f11dddf..000000000
--- a/data/hfopenllm_v2/ZhangShenao/SELM-Llama-3-8B-Instruct-iter-3/6bf4063b-44aa-4809-a400-5406abe5eb2e.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/ZhangShenao_SELM-Llama-3-8B-Instruct-iter-3/1762652579.9690418",
-  "retrieved_timestamp": "1762652579.969043",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "ZhangShenao/SELM-Llama-3-8B-Instruct-iter-3",
-    "developer": "ZhangShenao",
-    "inference_platform": "unknown",
-    "id": "ZhangShenao/SELM-Llama-3-8B-Instruct-iter-3",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6902817856620433
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5046089390770511
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.08610271903323263
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.25838926174496646
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.38451041666666663
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3783244680851064
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/aaditya/Llama3-OpenBioLLM-70B/1401f0d9-6f4c-41d2-819f-eb9487c5c1e6.json b/data/hfopenllm_v2/aaditya/Llama3-OpenBioLLM-70B/1401f0d9-6f4c-41d2-819f-eb9487c5c1e6.json
new file mode 100644
index 000000000..82061858d
--- /dev/null
+++ b/data/hfopenllm_v2/aaditya/Llama3-OpenBioLLM-70B/1401f0d9-6f4c-41d2-819f-eb9487c5c1e6.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/aaditya_Llama3-OpenBioLLM-70B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama3-OpenBioLLM-70B",
+    "id": "aaditya/Llama3-OpenBioLLM-70B",
+    "developer": "aaditya",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 70.0
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7597
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6399
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1971
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.323
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4417
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4867
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/abacusai/Dracarys-72B-Instruct/2f1e6f4e-86e6-47a4-96e6-3bc2b330cd3a.json b/data/hfopenllm_v2/abacusai/Dracarys-72B-Instruct/2f1e6f4e-86e6-47a4-96e6-3bc2b330cd3a.json
deleted file mode 100644
index 7b20d91ec..000000000
--- a/data/hfopenllm_v2/abacusai/Dracarys-72B-Instruct/2f1e6f4e-86e6-47a4-96e6-3bc2b330cd3a.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/abacusai_Dracarys-72B-Instruct/1762652579.969532",
-  "retrieved_timestamp": "1762652579.969532",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "abacusai/Dracarys-72B-Instruct",
-    "developer": "abacusai",
-    "inference_platform": "unknown",
-    "id": "abacusai/Dracarys-72B-Instruct",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 72.706
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7855778224001206
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6944066392084981
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.39652567975830816
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.39093959731543626
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4558229166666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5456283244680851
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/abacusai/Dracarys-72B-Instruct/4b1f2aab-ef92-4231-9bdd-96918b26914c.json b/data/hfopenllm_v2/abacusai/Dracarys-72B-Instruct/4b1f2aab-ef92-4231-9bdd-96918b26914c.json
new file mode 100644
index 000000000..46a1a26ce
--- /dev/null
+++ b/data/hfopenllm_v2/abacusai/Dracarys-72B-Instruct/4b1f2aab-ef92-4231-9bdd-96918b26914c.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/abacusai_Dracarys-72B-Instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Dracarys-72B-Instruct",
+    "id": "abacusai/Dracarys-72B-Instruct",
+    "developer": "abacusai",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 72.706
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7856
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6944
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3965
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3909
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4558
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5456
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/abacusai/Liberated-Qwen1.5-14B/4956e127-14a1-405e-a0e0-76fe94ea727b.json b/data/hfopenllm_v2/abacusai/Liberated-Qwen1.5-14B/4956e127-14a1-405e-a0e0-76fe94ea727b.json
new file mode 100644
index 000000000..afc41b73e
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+++ b/data/hfopenllm_v2/abacusai/Liberated-Qwen1.5-14B/4956e127-14a1-405e-a0e0-76fe94ea727b.json
@@ -0,0 +1,132 @@
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/abacusai/Llama-3-Smaug-8B/90fb6e40-88f7-4ce2-ae99-308d87e69718.json b/data/hfopenllm_v2/abacusai/Llama-3-Smaug-8B/90fb6e40-88f7-4ce2-ae99-308d87e69718.json
new file mode 100644
index 000000000..aee6436ea
--- /dev/null
+++ b/data/hfopenllm_v2/abacusai/Llama-3-Smaug-8B/90fb6e40-88f7-4ce2-ae99-308d87e69718.json
@@ -0,0 +1,132 @@
+{
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/abacusai/Smaug-34B-v0.1/cdad0f08-1c60-4493-bed0-9733894b367a.json b/data/hfopenllm_v2/abacusai/Smaug-34B-v0.1/cdad0f08-1c60-4493-bed0-9733894b367a.json
new file mode 100644
index 000000000..a0a920244
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+++ b/data/hfopenllm_v2/abacusai/Smaug-34B-v0.1/cdad0f08-1c60-4493-bed0-9733894b367a.json
@@ -0,0 +1,132 @@
+{
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/abacusai/Smaug-34B-v0.1/e0b9044d-1b87-44f7-b59b-88d790f429e5.json b/data/hfopenllm_v2/abacusai/Smaug-34B-v0.1/e0b9044d-1b87-44f7-b59b-88d790f429e5.json
deleted file mode 100644
index 2f4b5b08b..000000000
--- a/data/hfopenllm_v2/abacusai/Smaug-34B-v0.1/e0b9044d-1b87-44f7-b59b-88d790f429e5.json
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diff --git a/data/hfopenllm_v2/abacusai/Smaug-72B-v0.1/8e83b4f7-736f-4e03-8256-2a1fc421b04f.json b/data/hfopenllm_v2/abacusai/Smaug-72B-v0.1/8e83b4f7-736f-4e03-8256-2a1fc421b04f.json
new file mode 100644
index 000000000..d0562870a
--- /dev/null
+++ b/data/hfopenllm_v2/abacusai/Smaug-72B-v0.1/8e83b4f7-736f-4e03-8256-2a1fc421b04f.json
@@ -0,0 +1,132 @@
+{
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+    "id": "abacusai/Smaug-72B-v0.1",
+    "developer": "abacusai",
+    "inference_platform": "unknown",
+    "additional_details": {
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+        "hf_repo": "Idavidrein/gpqa"
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+        "hf_repo": "TIGER-Lab/MMLU-Pro"
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+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4624
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/abacusai/Smaug-72B-v0.1/a3b08cd3-6ead-4db0-92ed-212c6b0e45ee.json b/data/hfopenllm_v2/abacusai/Smaug-72B-v0.1/a3b08cd3-6ead-4db0-92ed-212c6b0e45ee.json
deleted file mode 100644
index 822b9eee5..000000000
--- a/data/hfopenllm_v2/abacusai/Smaug-72B-v0.1/a3b08cd3-6ead-4db0-92ed-212c6b0e45ee.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/abacusai_Smaug-72B-v0.1/1762652579.970887",
-  "retrieved_timestamp": "1762652579.9708889",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "abacusai/Smaug-72B-v0.1",
-    "developer": "abacusai",
-    "inference_platform": "unknown",
-    "id": "abacusai/Smaug-72B-v0.1",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 72.289
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5167001334237601
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.19108761329305135
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3238255033557047
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4473229166666666
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4623503989361702
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/abacusai/Smaug-Llama-3-70B-Instruct-32K/962b4977-63f0-4a87-a36e-f3e592b74761.json b/data/hfopenllm_v2/abacusai/Smaug-Llama-3-70B-Instruct-32K/962b4977-63f0-4a87-a36e-f3e592b74761.json
deleted file mode 100644
index c57655f29..000000000
--- a/data/hfopenllm_v2/abacusai/Smaug-Llama-3-70B-Instruct-32K/962b4977-63f0-4a87-a36e-f3e592b74761.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/abacusai_Smaug-Llama-3-70B-Instruct-32K/1762652579.971162",
-  "retrieved_timestamp": "1762652579.9711628",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "abacusai/Smaug-Llama-3-70B-Instruct-32K",
-    "developer": "abacusai",
-    "inference_platform": "unknown",
-    "id": "abacusai/Smaug-Llama-3-70B-Instruct-32K",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 70.554
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7761107195574409
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6493108088828602
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.27492447129909364
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2961409395973154
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4207916666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.47647938829787234
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/abacusai/Smaug-Llama-3-70B-Instruct-32K/f0d6639d-8485-4bcd-b069-046a747dfbfa.json b/data/hfopenllm_v2/abacusai/Smaug-Llama-3-70B-Instruct-32K/f0d6639d-8485-4bcd-b069-046a747dfbfa.json
new file mode 100644
index 000000000..cb2b7cd68
--- /dev/null
+++ b/data/hfopenllm_v2/abacusai/Smaug-Llama-3-70B-Instruct-32K/f0d6639d-8485-4bcd-b069-046a747dfbfa.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/abacusai_Smaug-Llama-3-70B-Instruct-32K/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Smaug-Llama-3-70B-Instruct-32K",
+    "id": "abacusai/Smaug-Llama-3-70B-Instruct-32K",
+    "developer": "abacusai",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 70.554
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7761
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6493
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2749
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2961
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4208
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4765
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/abacusai/Smaug-Mixtral-v0.1/ba0fe822-7a57-4ccb-a97e-e852a59d9ae1.json b/data/hfopenllm_v2/abacusai/Smaug-Mixtral-v0.1/ba0fe822-7a57-4ccb-a97e-e852a59d9ae1.json
deleted file mode 100644
index 9a2a5acba..000000000
--- a/data/hfopenllm_v2/abacusai/Smaug-Mixtral-v0.1/ba0fe822-7a57-4ccb-a97e-e852a59d9ae1.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/abacusai_Smaug-Mixtral-v0.1/1762652579.971408",
-  "retrieved_timestamp": "1762652579.9714088",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "abacusai/Smaug-Mixtral-v0.1",
-    "developer": "abacusai",
-    "inference_platform": "unknown",
-    "id": "abacusai/Smaug-Mixtral-v0.1",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MixtralForCausalLM",
-      "params_billions": 46.703
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5554428915278129
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5162245602454115
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.09516616314199396
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3011744966442953
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4298125
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3351894946808511
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/abacusai/Smaug-Mixtral-v0.1/d1fe36ba-04f8-4110-8c39-81d393c4cbfc.json b/data/hfopenllm_v2/abacusai/Smaug-Mixtral-v0.1/d1fe36ba-04f8-4110-8c39-81d393c4cbfc.json
new file mode 100644
index 000000000..e773b34ab
--- /dev/null
+++ b/data/hfopenllm_v2/abacusai/Smaug-Mixtral-v0.1/d1fe36ba-04f8-4110-8c39-81d393c4cbfc.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/abacusai_Smaug-Mixtral-v0.1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Smaug-Mixtral-v0.1",
+    "id": "abacusai/Smaug-Mixtral-v0.1",
+    "developer": "abacusai",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MixtralForCausalLM",
+      "params_billions": 46.703
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5554
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5162
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0952
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3012
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4298
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3352
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/abacusai/Smaug-Qwen2-72B-Instruct/5a8ab5fb-ec1e-490c-b643-e3b9d49f5d34.json b/data/hfopenllm_v2/abacusai/Smaug-Qwen2-72B-Instruct/5a8ab5fb-ec1e-490c-b643-e3b9d49f5d34.json
new file mode 100644
index 000000000..064650e3a
--- /dev/null
+++ b/data/hfopenllm_v2/abacusai/Smaug-Qwen2-72B-Instruct/5a8ab5fb-ec1e-490c-b643-e3b9d49f5d34.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/abacusai_Smaug-Qwen2-72B-Instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Smaug-Qwen2-72B-Instruct",
+    "id": "abacusai/Smaug-Qwen2-72B-Instruct",
+    "developer": "abacusai",
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+    }
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+        "source_type": "hf_dataset",
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+        "score_type": "continuous",
+        "min_score": 0.0,
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+      },
+      "score_details": {
+        "score": 0.7825
+      }
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+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.691
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4131
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/abacusai/Smaug-Qwen2-72B-Instruct/84695a6b-dc11-448c-bbeb-b3cc05cde7ba.json b/data/hfopenllm_v2/abacusai/Smaug-Qwen2-72B-Instruct/84695a6b-dc11-448c-bbeb-b3cc05cde7ba.json
deleted file mode 100644
index ec778a995..000000000
--- a/data/hfopenllm_v2/abacusai/Smaug-Qwen2-72B-Instruct/84695a6b-dc11-448c-bbeb-b3cc05cde7ba.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/abacusai_Smaug-Qwen2-72B-Instruct/1762652579.9716392",
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-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
-    "name": "abacusai/Smaug-Qwen2-72B-Instruct",
-    "developer": "abacusai",
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-    "id": "abacusai/Smaug-Qwen2-72B-Instruct",
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-        "lower_is_better": false,
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diff --git a/data/hfopenllm_v2/abacusai/bigstral-12b-32k/aed1ac03-5364-477e-ab8f-68b599170128.json b/data/hfopenllm_v2/abacusai/bigstral-12b-32k/aed1ac03-5364-477e-ab8f-68b599170128.json
deleted file mode 100644
index 039a1db45..000000000
--- a/data/hfopenllm_v2/abacusai/bigstral-12b-32k/aed1ac03-5364-477e-ab8f-68b599170128.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-    "name": "abacusai/bigstral-12b-32k",
-    "developer": "abacusai",
-    "inference_platform": "unknown",
-    "id": "abacusai/bigstral-12b-32k",
-    "additional_details": {
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-  "evaluation_results": [
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-      },
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-    },
-    {
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-        "min_score": 0,
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diff --git a/data/hfopenllm_v2/abacusai/bigstral-12b-32k/de944f89-d2d4-4b01-b4b5-e7cbd1d8d1ae.json b/data/hfopenllm_v2/abacusai/bigstral-12b-32k/de944f89-d2d4-4b01-b4b5-e7cbd1d8d1ae.json
new file mode 100644
index 000000000..0c72ea1cb
--- /dev/null
+++ b/data/hfopenllm_v2/abacusai/bigstral-12b-32k/de944f89-d2d4-4b01-b4b5-e7cbd1d8d1ae.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/abacusai_bigstral-12b-32k/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "bigstral-12b-32k",
+    "id": "abacusai/bigstral-12b-32k",
+    "developer": "abacusai",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 12.476
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4194
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+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.47
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0151
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2928
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.456
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+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2641
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/abacusai/bigyi-15b/19b4d65c-39c7-4b81-bb71-f166ab4f9490.json b/data/hfopenllm_v2/abacusai/bigyi-15b/19b4d65c-39c7-4b81-bb71-f166ab4f9490.json
deleted file mode 100644
index 0f77ab967..000000000
--- a/data/hfopenllm_v2/abacusai/bigyi-15b/19b4d65c-39c7-4b81-bb71-f166ab4f9490.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-    "developer": "abacusai",
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-    "id": "abacusai/bigyi-15b",
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diff --git a/data/hfopenllm_v2/abacusai/bigyi-15b/db96601a-2f7f-438f-915b-55fee0e0d1d1.json b/data/hfopenllm_v2/abacusai/bigyi-15b/db96601a-2f7f-438f-915b-55fee0e0d1d1.json
new file mode 100644
index 000000000..78bf1bb7e
--- /dev/null
+++ b/data/hfopenllm_v2/abacusai/bigyi-15b/db96601a-2f7f-438f-915b-55fee0e0d1d1.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/abacusai_bigyi-15b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
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+  "model_info": {
+    "name": "bigyi-15b",
+    "id": "abacusai/bigyi-15b",
+    "developer": "abacusai",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 15.058
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4345
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0295
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3096
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3538
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3003
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/abhishek/autotrain-0tmgq-5tpbg/27912f7d-7033-4b7c-b93a-af1673ce4a9b.json b/data/hfopenllm_v2/abhishek/autotrain-0tmgq-5tpbg/27912f7d-7033-4b7c-b93a-af1673ce4a9b.json
new file mode 100644
index 000000000..7ebb312b2
--- /dev/null
+++ b/data/hfopenllm_v2/abhishek/autotrain-0tmgq-5tpbg/27912f7d-7033-4b7c-b93a-af1673ce4a9b.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/abhishek_autotrain-0tmgq-5tpbg/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "autotrain-0tmgq-5tpbg",
+    "id": "abhishek/autotrain-0tmgq-5tpbg",
+    "developer": "abhishek",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 0.135
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1957
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3135
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2517
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.365
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1151
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/abhishek/autotrain-0tmgq-5tpbg/b5707c22-a2a2-4787-a902-b72945ebccd9.json b/data/hfopenllm_v2/abhishek/autotrain-0tmgq-5tpbg/b5707c22-a2a2-4787-a902-b72945ebccd9.json
deleted file mode 100644
index 55056498d..000000000
--- a/data/hfopenllm_v2/abhishek/autotrain-0tmgq-5tpbg/b5707c22-a2a2-4787-a902-b72945ebccd9.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/abhishek_autotrain-0tmgq-5tpbg/1762652579.972783",
-  "retrieved_timestamp": "1762652579.972784",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "abhishek/autotrain-0tmgq-5tpbg",
-    "developer": "abhishek",
-    "inference_platform": "unknown",
-    "id": "abhishek/autotrain-0tmgq-5tpbg",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 0.135
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.19516549422199764
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3127326480314375
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.01283987915407855
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.25922818791946306
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.35837499999999994
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11436170212765957
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/abhishek/autotrain-0tmgq-5tpbg/da58a484-4a45-4a70-a651-031ada8023d5.json b/data/hfopenllm_v2/abhishek/autotrain-0tmgq-5tpbg/da58a484-4a45-4a70-a651-031ada8023d5.json
new file mode 100644
index 000000000..f682d2d9d
--- /dev/null
+++ b/data/hfopenllm_v2/abhishek/autotrain-0tmgq-5tpbg/da58a484-4a45-4a70-a651-031ada8023d5.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/abhishek_autotrain-0tmgq-5tpbg/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "autotrain-0tmgq-5tpbg",
+    "id": "abhishek/autotrain-0tmgq-5tpbg",
+    "developer": "abhishek",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 0.135
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1952
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3127
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0128
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2592
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3584
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1144
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/abhishek/autotrain-0tmgq-5tpbg/ddd32642-ed7a-41b8-974a-f85b7f04d0db.json b/data/hfopenllm_v2/abhishek/autotrain-0tmgq-5tpbg/ddd32642-ed7a-41b8-974a-f85b7f04d0db.json
deleted file mode 100644
index 8c024f5a1..000000000
--- a/data/hfopenllm_v2/abhishek/autotrain-0tmgq-5tpbg/ddd32642-ed7a-41b8-974a-f85b7f04d0db.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/abhishek_autotrain-0tmgq-5tpbg/1762652579.972393",
-  "retrieved_timestamp": "1762652579.972395",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "abhishek/autotrain-0tmgq-5tpbg",
-    "developer": "abhishek",
-    "inference_platform": "unknown",
-    "id": "abhishek/autotrain-0tmgq-5tpbg",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 0.135
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.19571514692127998
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3134513987945074
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.0
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2516778523489933
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.36504166666666665
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11510970744680851
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/abhishek/autotrain-llama3-70b-orpo-v1/e8bd221d-8a89-4e3c-8815-0bff27574053.json b/data/hfopenllm_v2/abhishek/autotrain-llama3-70b-orpo-v1/e8bd221d-8a89-4e3c-8815-0bff27574053.json
new file mode 100644
index 000000000..3051b9372
--- /dev/null
+++ b/data/hfopenllm_v2/abhishek/autotrain-llama3-70b-orpo-v1/e8bd221d-8a89-4e3c-8815-0bff27574053.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/abhishek_autotrain-llama3-70b-orpo-v1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "autotrain-llama3-70b-orpo-v1",
+    "id": "abhishek/autotrain-llama3-70b-orpo-v1",
+    "developer": "abhishek",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 70.554
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4233
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5998
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/abhishek/autotrain-llama3-70b-orpo-v2/ffc21c2a-59fb-4ad8-88a4-930879b6eba0.json b/data/hfopenllm_v2/abhishek/autotrain-llama3-70b-orpo-v2/ffc21c2a-59fb-4ad8-88a4-930879b6eba0.json
new file mode 100644
index 000000000..cfef2a069
--- /dev/null
+++ b/data/hfopenllm_v2/abhishek/autotrain-llama3-70b-orpo-v2/ffc21c2a-59fb-4ad8-88a4-930879b6eba0.json
@@ -0,0 +1,132 @@
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+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/abhishek/autotrain-llama3-orpo-v2/1e506afa-0d08-45d6-9242-b06104aa67e8.json b/data/hfopenllm_v2/abhishek/autotrain-llama3-orpo-v2/1e506afa-0d08-45d6-9242-b06104aa67e8.json
new file mode 100644
index 000000000..6b46e2ceb
--- /dev/null
+++ b/data/hfopenllm_v2/abhishek/autotrain-llama3-orpo-v2/1e506afa-0d08-45d6-9242-b06104aa67e8.json
@@ -0,0 +1,132 @@
+{
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+  "source_metadata": {
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+    "id": "abhishek/autotrain-llama3-orpo-v2",
+    "developer": "abhishek",
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+    "additional_details": {
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+    },
+    {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
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+        "hf_repo": "TIGER-Lab/MMLU-Pro"
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/abhishek/autotrain-vr4a1-e5mms/7d66bb93-cb2f-4be6-b133-1f0325be58e1.json b/data/hfopenllm_v2/abhishek/autotrain-vr4a1-e5mms/7d66bb93-cb2f-4be6-b133-1f0325be58e1.json
new file mode 100644
index 000000000..c2368e06c
--- /dev/null
+++ b/data/hfopenllm_v2/abhishek/autotrain-vr4a1-e5mms/7d66bb93-cb2f-4be6-b133-1f0325be58e1.json
@@ -0,0 +1,132 @@
+{
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+    "source_type": "documentation",
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+    "developer": "abhishek",
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+      "architecture": "?",
+      "params_billions": 16.061
+    }
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+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+    {
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+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
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+        "hf_repo": "TAUR-Lab/MuSR"
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+        "evaluation_description": "Accuracy on MUSR",
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+        "hf_repo": "TIGER-Lab/MMLU-Pro"
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+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/abhishek/autotrain-vr4a1-e5mms/e1462a5a-d120-4c0f-ba13-fbecb18619a0.json b/data/hfopenllm_v2/abhishek/autotrain-vr4a1-e5mms/e1462a5a-d120-4c0f-ba13-fbecb18619a0.json
deleted file mode 100644
index 1cbb18a63..000000000
--- a/data/hfopenllm_v2/abhishek/autotrain-vr4a1-e5mms/e1462a5a-d120-4c0f-ba13-fbecb18619a0.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
-    "name": "abhishek/autotrain-vr4a1-e5mms",
-    "developer": "abhishek",
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-    "id": "abhishek/autotrain-vr4a1-e5mms",
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-      "params_billions": 16.061
-    }
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-        "min_score": 0,
-        "max_score": 1
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-      }
-    },
-    {
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-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
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-}
diff --git a/data/hfopenllm_v2/abideen/MedPhi-4-14B-v1/936f3c5f-7817-4118-96c8-e4061d4560fb.json b/data/hfopenllm_v2/abideen/MedPhi-4-14B-v1/936f3c5f-7817-4118-96c8-e4061d4560fb.json
new file mode 100644
index 000000000..73811a080
--- /dev/null
+++ b/data/hfopenllm_v2/abideen/MedPhi-4-14B-v1/936f3c5f-7817-4118-96c8-e4061d4560fb.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/abideen_MedPhi-4-14B-v1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "MedPhi-4-14B-v1",
+    "id": "abideen/MedPhi-4-14B-v1",
+    "developer": "abideen",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Phi3ForCausalLM",
+      "params_billions": 14.66
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+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
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+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+      "score_details": {
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+    {
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+      "source_data": {
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+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+        "score": 0.6897
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+        "score": 0.2931
+      }
+    },
+    {
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+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4155
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5338
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/adamo1139/Yi-34B-200K-AEZAKMI-v2/7d36ceed-2a1b-4b20-88ae-0a609cc161e9.json b/data/hfopenllm_v2/adamo1139/Yi-34B-200K-AEZAKMI-v2/7d36ceed-2a1b-4b20-88ae-0a609cc161e9.json
new file mode 100644
index 000000000..a4e2aa16d
--- /dev/null
+++ b/data/hfopenllm_v2/adamo1139/Yi-34B-200K-AEZAKMI-v2/7d36ceed-2a1b-4b20-88ae-0a609cc161e9.json
@@ -0,0 +1,132 @@
+{
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+  "evaluation_id": "hfopenllm_v2/adamo1139_Yi-34B-200K-AEZAKMI-v2/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Yi-34B-200K-AEZAKMI-v2",
+    "id": "adamo1139/Yi-34B-200K-AEZAKMI-v2",
+    "developer": "adamo1139",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 34.389
+    }
+  },
+  "evaluation_results": [
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
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+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
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+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5384
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3322
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3886
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4513
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/adamo1139/Yi-34B-200K-AEZAKMI-v2/a28de361-e90d-44f7-b609-e4d64ae1be6f.json b/data/hfopenllm_v2/adamo1139/Yi-34B-200K-AEZAKMI-v2/a28de361-e90d-44f7-b609-e4d64ae1be6f.json
deleted file mode 100644
index ee6d31751..000000000
--- a/data/hfopenllm_v2/adamo1139/Yi-34B-200K-AEZAKMI-v2/a28de361-e90d-44f7-b609-e4d64ae1be6f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/adamo1139_Yi-34B-200K-AEZAKMI-v2/1762652579.974368",
-  "retrieved_timestamp": "1762652579.974369",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "adamo1139/Yi-34B-200K-AEZAKMI-v2",
-    "developer": "adamo1139",
-    "inference_platform": "unknown",
-    "id": "adamo1139/Yi-34B-200K-AEZAKMI-v2",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 34.389
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-        "lower_is_better": false,
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-      },
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
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-    },
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-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.38860416666666664
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-        "score": 0.4512965425531915
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/adriszmar/QAIMath-Qwen2.5-7B-TIES/77cace56-503f-4531-a4eb-0178a68cc283.json b/data/hfopenllm_v2/adriszmar/QAIMath-Qwen2.5-7B-TIES/77cace56-503f-4531-a4eb-0178a68cc283.json
new file mode 100644
index 000000000..e2903971c
--- /dev/null
+++ b/data/hfopenllm_v2/adriszmar/QAIMath-Qwen2.5-7B-TIES/77cace56-503f-4531-a4eb-0178a68cc283.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/adriszmar_QAIMath-Qwen2.5-7B-TIES/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "QAIMath-Qwen2.5-7B-TIES",
+    "id": "adriszmar/QAIMath-Qwen2.5-7B-TIES",
+    "developer": "adriszmar",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1685
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3124
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0015
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2492
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3963
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1066
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/adriszmar/QAIMath-Qwen2.5-7B-TIES/9e49b710-2413-42f3-8943-bc9dbf68cb3c.json b/data/hfopenllm_v2/adriszmar/QAIMath-Qwen2.5-7B-TIES/9e49b710-2413-42f3-8943-bc9dbf68cb3c.json
new file mode 100644
index 000000000..dbd70e39f
--- /dev/null
+++ b/data/hfopenllm_v2/adriszmar/QAIMath-Qwen2.5-7B-TIES/9e49b710-2413-42f3-8943-bc9dbf68cb3c.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/adriszmar_QAIMath-Qwen2.5-7B-TIES/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "QAIMath-Qwen2.5-7B-TIES",
+    "id": "adriszmar/QAIMath-Qwen2.5-7B-TIES",
+    "developer": "adriszmar",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1746
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3126
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.245
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4096
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1087
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/aevalone/distill_qw_test/108ead60-3cee-43e7-925a-619bace5b65f.json b/data/hfopenllm_v2/aevalone/distill_qw_test/108ead60-3cee-43e7-925a-619bace5b65f.json
deleted file mode 100644
index 198a1b435..000000000
--- a/data/hfopenllm_v2/aevalone/distill_qw_test/108ead60-3cee-43e7-925a-619bace5b65f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/aevalone_distill_qw_test/1762652579.975426",
-  "retrieved_timestamp": "1762652579.9754272",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "aevalone/distill_qw_test",
-    "developer": "aevalone",
-    "inference_platform": "unknown",
-    "id": "aevalone/distill_qw_test",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.616
-    }
-  },
-  "evaluation_results": [
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diff --git a/data/hfopenllm_v2/aevalone/distill_qw_test/9a5b3564-97df-4661-a171-37322386ac4d.json b/data/hfopenllm_v2/aevalone/distill_qw_test/9a5b3564-97df-4661-a171-37322386ac4d.json
new file mode 100644
index 000000000..4e684cee1
--- /dev/null
+++ b/data/hfopenllm_v2/aevalone/distill_qw_test/9a5b3564-97df-4661-a171-37322386ac4d.json
@@ -0,0 +1,132 @@
+{
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+    "id": "aevalone/distill_qw_test",
+    "developer": "aevalone",
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+        "hf_repo": "SaylorTwift/bbh"
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+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
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+        "hf_repo": "TAUR-Lab/MuSR"
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+        "hf_repo": "TIGER-Lab/MMLU-Pro"
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+        "evaluation_description": "Accuracy on MMLU-PRO",
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/agentlans/Gemma2-9B-AdvancedFuse/0fc0450d-cdf1-44b5-a809-202d1dd6b5e3.json b/data/hfopenllm_v2/agentlans/Gemma2-9B-AdvancedFuse/0fc0450d-cdf1-44b5-a809-202d1dd6b5e3.json
new file mode 100644
index 000000000..65f6c605e
--- /dev/null
+++ b/data/hfopenllm_v2/agentlans/Gemma2-9B-AdvancedFuse/0fc0450d-cdf1-44b5-a809-202d1dd6b5e3.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
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+  "source_metadata": {
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+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
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+  },
+  "model_info": {
+    "name": "Gemma2-9B-AdvancedFuse",
+    "id": "agentlans/Gemma2-9B-AdvancedFuse",
+    "developer": "agentlans",
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+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Gemma2ForCausalLM",
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+    }
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+    {
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+        "source_type": "hf_dataset",
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
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+        "max_score": 1.0
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+    {
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+      },
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+        "hf_repo": "TAUR-Lab/MuSR"
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+        "evaluation_description": "Accuracy on MUSR",
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
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+        "evaluation_description": "Accuracy on MMLU-PRO",
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+    }
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/agentlans/Llama-3.2-1B-Instruct-CrashCourse12K/7f06c78c-f95e-4e50-aa57-da0579adcdae.json b/data/hfopenllm_v2/agentlans/Llama-3.2-1B-Instruct-CrashCourse12K/7f06c78c-f95e-4e50-aa57-da0579adcdae.json
new file mode 100644
index 000000000..9800d3c2e
--- /dev/null
+++ b/data/hfopenllm_v2/agentlans/Llama-3.2-1B-Instruct-CrashCourse12K/7f06c78c-f95e-4e50-aa57-da0579adcdae.json
@@ -0,0 +1,132 @@
+{
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+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
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+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
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+  "model_info": {
+    "name": "Llama-3.2-1B-Instruct-CrashCourse12K",
+    "id": "agentlans/Llama-3.2-1B-Instruct-CrashCourse12K",
+    "developer": "agentlans",
+    "inference_platform": "unknown",
+    "additional_details": {
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+      "params_billions": 1.236
+    }
+  },
+  "evaluation_results": [
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+      "score_details": {
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+    },
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
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+        "hf_repo": "TAUR-Lab/MuSR"
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+        "hf_repo": "TIGER-Lab/MMLU-Pro"
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+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/agentlans/Llama-3.2-1B-Instruct-CrashCourse12K/fbedd898-b839-49c1-bd6d-3a8744d4138a.json b/data/hfopenllm_v2/agentlans/Llama-3.2-1B-Instruct-CrashCourse12K/fbedd898-b839-49c1-bd6d-3a8744d4138a.json
deleted file mode 100644
index 57aa09d03..000000000
--- a/data/hfopenllm_v2/agentlans/Llama-3.2-1B-Instruct-CrashCourse12K/fbedd898-b839-49c1-bd6d-3a8744d4138a.json
+++ /dev/null
@@ -1,105 +0,0 @@
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-    "id": "agentlans/Llama-3.2-1B-Instruct-CrashCourse12K",
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-}
diff --git a/data/hfopenllm_v2/agentlans/Llama3.1-8B-drill/06e55e47-9995-4fa2-877a-c728e9f9f1a1.json b/data/hfopenllm_v2/agentlans/Llama3.1-8B-drill/06e55e47-9995-4fa2-877a-c728e9f9f1a1.json
new file mode 100644
index 000000000..3dd94e869
--- /dev/null
+++ b/data/hfopenllm_v2/agentlans/Llama3.1-8B-drill/06e55e47-9995-4fa2-877a-c728e9f9f1a1.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/agentlans_Llama3.1-8B-drill/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama3.1-8B-drill",
+    "id": "agentlans/Llama3.1-8B-drill",
+    "developer": "agentlans",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
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+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
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+        "max_score": 1.0
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+    {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/agentlans/Llama3.1-Daredevilish-Instruct/39af1e0a-d1e3-4372-bc18-d07f3dff09f0.json b/data/hfopenllm_v2/agentlans/Llama3.1-Daredevilish-Instruct/39af1e0a-d1e3-4372-bc18-d07f3dff09f0.json
new file mode 100644
index 000000000..8cbe2b1db
--- /dev/null
+++ b/data/hfopenllm_v2/agentlans/Llama3.1-Daredevilish-Instruct/39af1e0a-d1e3-4372-bc18-d07f3dff09f0.json
@@ -0,0 +1,132 @@
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+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/agentlans/Llama3.1-Daredevilish-Instruct/7a6d7a66-5772-4793-9597-ef0225b63f30.json b/data/hfopenllm_v2/agentlans/Llama3.1-Daredevilish-Instruct/7a6d7a66-5772-4793-9597-ef0225b63f30.json
deleted file mode 100644
index 777534e26..000000000
--- a/data/hfopenllm_v2/agentlans/Llama3.1-Daredevilish-Instruct/7a6d7a66-5772-4793-9597-ef0225b63f30.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/agentlans/Llama3.1-Daredevilish/f32d59d6-8ab9-4b7d-ad9d-f62ce6d559bd.json b/data/hfopenllm_v2/agentlans/Llama3.1-Daredevilish/f32d59d6-8ab9-4b7d-ad9d-f62ce6d559bd.json
new file mode 100644
index 000000000..8fc5cbbdf
--- /dev/null
+++ b/data/hfopenllm_v2/agentlans/Llama3.1-Daredevilish/f32d59d6-8ab9-4b7d-ad9d-f62ce6d559bd.json
@@ -0,0 +1,132 @@
+{
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+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
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+  "model_info": {
+    "name": "Llama3.1-Daredevilish",
+    "id": "agentlans/Llama3.1-Daredevilish",
+    "developer": "agentlans",
+    "inference_platform": "unknown",
+    "additional_details": {
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+      "architecture": "LlamaForCausalLM",
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+    }
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+      "source_data": {
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+        "source_type": "hf_dataset",
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+      },
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
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+        "hf_repo": "Idavidrein/gpqa"
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+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
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+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4091
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+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/agentlans/Llama3.1-LexiHermes-SuperStorm/7ddc3aef-c6c5-4d04-8473-3b3bba219d7f.json b/data/hfopenllm_v2/agentlans/Llama3.1-LexiHermes-SuperStorm/7ddc3aef-c6c5-4d04-8473-3b3bba219d7f.json
new file mode 100644
index 000000000..1c22faf44
--- /dev/null
+++ b/data/hfopenllm_v2/agentlans/Llama3.1-LexiHermes-SuperStorm/7ddc3aef-c6c5-4d04-8473-3b3bba219d7f.json
@@ -0,0 +1,132 @@
+{
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+  "evaluation_id": "hfopenllm_v2/agentlans_Llama3.1-LexiHermes-SuperStorm/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama3.1-LexiHermes-SuperStorm",
+    "id": "agentlans/Llama3.1-LexiHermes-SuperStorm",
+    "developer": "agentlans",
+    "inference_platform": "unknown",
+    "additional_details": {
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+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
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+  },
+  "evaluation_results": [
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
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+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+      "score_details": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5266
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+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
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+    {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
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+      },
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+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/agentlans/Llama3.1-SuperDeepFuse-CrashCourse12K/ce80ac07-22d2-4883-ac6c-40b080e00b81.json b/data/hfopenllm_v2/agentlans/Llama3.1-SuperDeepFuse-CrashCourse12K/ce80ac07-22d2-4883-ac6c-40b080e00b81.json
new file mode 100644
index 000000000..806df32bb
--- /dev/null
+++ b/data/hfopenllm_v2/agentlans/Llama3.1-SuperDeepFuse-CrashCourse12K/ce80ac07-22d2-4883-ac6c-40b080e00b81.json
@@ -0,0 +1,132 @@
+{
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+  "evaluation_id": "hfopenllm_v2/agentlans_Llama3.1-SuperDeepFuse-CrashCourse12K/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama3.1-SuperDeepFuse-CrashCourse12K",
+    "id": "agentlans/Llama3.1-SuperDeepFuse-CrashCourse12K",
+    "developer": "agentlans",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
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+  },
+  "evaluation_results": [
+    {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
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+        "score_type": "continuous",
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+        "max_score": 1.0
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+      }
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
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+        "hf_repo": "TAUR-Lab/MuSR"
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+        "evaluation_description": "Accuracy on MUSR",
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+        "max_score": 1.0
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+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
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+        "evaluation_description": "Accuracy on MMLU-PRO",
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/agentlans/Llama3.1-SuperDeepFuse/cbece170-f872-485f-a6c2-5db17ced73bc.json b/data/hfopenllm_v2/agentlans/Llama3.1-SuperDeepFuse/cbece170-f872-485f-a6c2-5db17ced73bc.json
new file mode 100644
index 000000000..0f8c139a6
--- /dev/null
+++ b/data/hfopenllm_v2/agentlans/Llama3.1-SuperDeepFuse/cbece170-f872-485f-a6c2-5db17ced73bc.json
@@ -0,0 +1,132 @@
+{
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+  "evaluation_id": "hfopenllm_v2/agentlans_Llama3.1-SuperDeepFuse/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
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+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
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+    "id": "agentlans/Llama3.1-SuperDeepFuse",
+    "developer": "agentlans",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
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+      "params_billions": 8.03
+    }
+  },
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
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+        "lower_is_better": false,
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
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+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+      "score_details": {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
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+        "lower_is_better": false,
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+    },
+    {
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+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+    {
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+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
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+        "max_score": 1.0
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+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/agentlans/Qwen2.5-0.5B-Instruct-CrashCourse-dropout/ad130d6f-6a5e-447a-a1ee-bfa2d93e5336.json b/data/hfopenllm_v2/agentlans/Qwen2.5-0.5B-Instruct-CrashCourse-dropout/ad130d6f-6a5e-447a-a1ee-bfa2d93e5336.json
deleted file mode 100644
index 20cdb8703..000000000
--- a/data/hfopenllm_v2/agentlans/Qwen2.5-0.5B-Instruct-CrashCourse-dropout/ad130d6f-6a5e-447a-a1ee-bfa2d93e5336.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/agentlans_Qwen2.5-0.5B-Instruct-CrashCourse-dropout/1762652579.9778361",
-  "retrieved_timestamp": "1762652579.977837",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
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-    "developer": "agentlans",
-    "inference_platform": "unknown",
-    "id": "agentlans/Qwen2.5-0.5B-Instruct-CrashCourse-dropout",
-    "additional_details": {
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diff --git a/data/hfopenllm_v2/agentlans/Qwen2.5-0.5B-Instruct-CrashCourse-dropout/c1fd751b-c6c3-4350-9618-f4b4840e1b69.json b/data/hfopenllm_v2/agentlans/Qwen2.5-0.5B-Instruct-CrashCourse-dropout/c1fd751b-c6c3-4350-9618-f4b4840e1b69.json
new file mode 100644
index 000000000..8da33be6f
--- /dev/null
+++ b/data/hfopenllm_v2/agentlans/Qwen2.5-0.5B-Instruct-CrashCourse-dropout/c1fd751b-c6c3-4350-9618-f4b4840e1b69.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/agentlans_Qwen2.5-0.5B-Instruct-CrashCourse-dropout/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-0.5B-Instruct-CrashCourse-dropout",
+    "id": "agentlans/Qwen2.5-0.5B-Instruct-CrashCourse-dropout",
+    "developer": "agentlans",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 0.494
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2949
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3312
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0423
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2634
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3342
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1608
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/ahmeda335/13_outOf_32_pruned_layers_llama3.1-8b/bfd28b91-3a72-4417-b52b-804d2cbae12f.json b/data/hfopenllm_v2/ahmeda335/13_outOf_32_pruned_layers_llama3.1-8b/bfd28b91-3a72-4417-b52b-804d2cbae12f.json
new file mode 100644
index 000000000..d883b1cb1
--- /dev/null
+++ b/data/hfopenllm_v2/ahmeda335/13_outOf_32_pruned_layers_llama3.1-8b/bfd28b91-3a72-4417-b52b-804d2cbae12f.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/ahmeda335_13_outOf_32_pruned_layers_llama3.1-8b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "13_outOf_32_pruned_layers_llama3.1-8b",
+    "id": "ahmeda335/13_outOf_32_pruned_layers_llama3.1-8b",
+    "developer": "ahmeda335",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 5.195
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1748
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2883
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "max_score": 1.0
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+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2592
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3803
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1129
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/ai21labs/Jamba-v0.1/32c26cbc-3697-47a6-bd12-18187df9dda9.json b/data/hfopenllm_v2/ai21labs/Jamba-v0.1/32c26cbc-3697-47a6-bd12-18187df9dda9.json
new file mode 100644
index 000000000..61193fc54
--- /dev/null
+++ b/data/hfopenllm_v2/ai21labs/Jamba-v0.1/32c26cbc-3697-47a6-bd12-18187df9dda9.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/ai21labs_Jamba-v0.1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Jamba-v0.1",
+    "id": "ai21labs/Jamba-v0.1",
+    "developer": "ai21labs",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "JambaForCausalLM",
+      "params_billions": 51.57
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2026
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3602
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0159
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2685
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.359
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2492
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/ai21labs/Jamba-v0.1/e9546f28-0f6b-449e-a2b3-c6ab262103cc.json b/data/hfopenllm_v2/ai21labs/Jamba-v0.1/e9546f28-0f6b-449e-a2b3-c6ab262103cc.json
deleted file mode 100644
index 4d5bd55ad..000000000
--- a/data/hfopenllm_v2/ai21labs/Jamba-v0.1/e9546f28-0f6b-449e-a2b3-c6ab262103cc.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/ai21labs_Jamba-v0.1/1762652579.978585",
-  "retrieved_timestamp": "1762652579.978585",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "ai21labs/Jamba-v0.1",
-    "developer": "ai21labs",
-    "inference_platform": "unknown",
-    "id": "ai21labs/Jamba-v0.1",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "JambaForCausalLM",
-      "params_billions": 51.57
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.20255920956395698
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.36022602451645724
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.015861027190332326
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2684563758389262
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.35902083333333334
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.24916888297872342
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/ai4bharat/Airavata/02280b9f-bc01-4e44-9d09-1e4ae8c0438b.json b/data/hfopenllm_v2/ai4bharat/Airavata/02280b9f-bc01-4e44-9d09-1e4ae8c0438b.json
new file mode 100644
index 000000000..0badacdc8
--- /dev/null
+++ b/data/hfopenllm_v2/ai4bharat/Airavata/02280b9f-bc01-4e44-9d09-1e4ae8c0438b.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/ai4bharat_Airavata/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Airavata",
+    "id": "ai4bharat/Airavata",
+    "developer": "ai4bharat",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 6.87
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0559
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3628
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0181
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2743
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3763
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1635
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/ai4bharat/Airavata/350b0559-6331-4b8b-82e2-0463baea9d8a.json b/data/hfopenllm_v2/ai4bharat/Airavata/350b0559-6331-4b8b-82e2-0463baea9d8a.json
deleted file mode 100644
index 4dd73544c..000000000
--- a/data/hfopenllm_v2/ai4bharat/Airavata/350b0559-6331-4b8b-82e2-0463baea9d8a.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/ai4bharat_Airavata/1762652579.978861",
-  "retrieved_timestamp": "1762652579.978862",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "ai4bharat/Airavata",
-    "developer": "ai4bharat",
-    "inference_platform": "unknown",
-    "id": "ai4bharat/Airavata",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 6.87
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.05585402288150995
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.36276862514633795
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.01812688821752266
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.27432885906040266
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3762916666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1634807180851064
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/aixonlab/Aether-12b/831b6f81-1552-4a7b-acac-eb927001e440.json b/data/hfopenllm_v2/aixonlab/Aether-12b/831b6f81-1552-4a7b-acac-eb927001e440.json
deleted file mode 100644
index 58751a63e..000000000
--- a/data/hfopenllm_v2/aixonlab/Aether-12b/831b6f81-1552-4a7b-acac-eb927001e440.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/aixonlab_Aether-12b/1762652579.979132",
-  "retrieved_timestamp": "1762652579.979133",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "aixonlab/Aether-12b",
-    "developer": "aixonlab",
-    "inference_platform": "unknown",
-    "id": "aixonlab/Aether-12b",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 12.248
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.23468286369056326
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5179400750435481
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
-        "score": 0.3162751677852349
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.38286458333333334
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3410073138297872
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/aixonlab/Aether-12b/a57d2d49-5ccf-48f5-8035-b1d480c80f40.json b/data/hfopenllm_v2/aixonlab/Aether-12b/a57d2d49-5ccf-48f5-8035-b1d480c80f40.json
new file mode 100644
index 000000000..0edbd3648
--- /dev/null
+++ b/data/hfopenllm_v2/aixonlab/Aether-12b/a57d2d49-5ccf-48f5-8035-b1d480c80f40.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/aixonlab_Aether-12b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Aether-12b",
+    "id": "aixonlab/Aether-12b",
+    "developer": "aixonlab",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 12.248
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2347
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5179
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1065
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3163
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3829
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.341
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/aixonlab/Grey-12b/2c4626c7-3016-4641-9862-0ba4f7f7936c.json b/data/hfopenllm_v2/aixonlab/Grey-12b/2c4626c7-3016-4641-9862-0ba4f7f7936c.json
deleted file mode 100644
index 496e76b19..000000000
--- a/data/hfopenllm_v2/aixonlab/Grey-12b/2c4626c7-3016-4641-9862-0ba4f7f7936c.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/aixonlab_Grey-12b/1762652579.979384",
-  "retrieved_timestamp": "1762652579.9793851",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "aixonlab/Grey-12b",
-    "developer": "aixonlab",
-    "inference_platform": "unknown",
-    "id": "aixonlab/Grey-12b",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 12.248
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.39679938119744496
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5698957505959833
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.09818731117824774
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30033557046979864
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4516354166666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3779089095744681
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/aixonlab/Grey-12b/6b5a3c69-f8dd-4952-96fc-b6e4dec1ed9d.json b/data/hfopenllm_v2/aixonlab/Grey-12b/6b5a3c69-f8dd-4952-96fc-b6e4dec1ed9d.json
new file mode 100644
index 000000000..ae2b8e520
--- /dev/null
+++ b/data/hfopenllm_v2/aixonlab/Grey-12b/6b5a3c69-f8dd-4952-96fc-b6e4dec1ed9d.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/aixonlab_Grey-12b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Grey-12b",
+    "id": "aixonlab/Grey-12b",
+    "developer": "aixonlab",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 12.248
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3968
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5699
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0982
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3003
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4516
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3779
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/aixonlab/Zara-14b-v1.2/a4c3ddcb-482c-47fb-9290-3c0678b38fb4.json b/data/hfopenllm_v2/aixonlab/Zara-14b-v1.2/a4c3ddcb-482c-47fb-9290-3c0678b38fb4.json
deleted file mode 100644
index a191873ad..000000000
--- a/data/hfopenllm_v2/aixonlab/Zara-14b-v1.2/a4c3ddcb-482c-47fb-9290-3c0678b38fb4.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/aixonlab_Zara-14b-v1.2/1762652579.979647",
-  "retrieved_timestamp": "1762652579.979647",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "aixonlab/Zara-14b-v1.2",
-    "developer": "aixonlab",
-    "inference_platform": "unknown",
-    "id": "aixonlab/Zara-14b-v1.2",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 14.766
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6197400674654362
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6405368457456163
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.35347432024169184
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.38171140939597314
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.46747916666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5263464095744681
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/aixonlab/Zara-14b-v1.2/fe0665dd-b976-4d90-b16b-6c2acfef15ff.json b/data/hfopenllm_v2/aixonlab/Zara-14b-v1.2/fe0665dd-b976-4d90-b16b-6c2acfef15ff.json
new file mode 100644
index 000000000..fff6f1b78
--- /dev/null
+++ b/data/hfopenllm_v2/aixonlab/Zara-14b-v1.2/fe0665dd-b976-4d90-b16b-6c2acfef15ff.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/aixonlab_Zara-14b-v1.2/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Zara-14b-v1.2",
+    "id": "aixonlab/Zara-14b-v1.2",
+    "developer": "aixonlab",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.766
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6197
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6405
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3535
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3817
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4675
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5263
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/akhadangi/Llama3.2.1B.0.01-First/8c6bdc44-fd29-45e7-b161-2c8e07ef2935.json b/data/hfopenllm_v2/akhadangi/Llama3.2.1B.0.01-First/8c6bdc44-fd29-45e7-b161-2c8e07ef2935.json
new file mode 100644
index 000000000..d89f7563d
--- /dev/null
+++ b/data/hfopenllm_v2/akhadangi/Llama3.2.1B.0.01-First/8c6bdc44-fd29-45e7-b161-2c8e07ef2935.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/akhadangi_Llama3.2.1B.0.01-First/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama3.2.1B.0.01-First",
+    "id": "akhadangi/Llama3.2.1B.0.01-First",
+    "developer": "akhadangi",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 1.236
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0814
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3189
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0181
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2483
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/akhadangi/Llama3.2.1B.0.01-Last/e7c70ff9-59ad-4d09-8af0-ef9cf16d1dfa.json b/data/hfopenllm_v2/akhadangi/Llama3.2.1B.0.01-Last/e7c70ff9-59ad-4d09-8af0-ef9cf16d1dfa.json
new file mode 100644
index 000000000..c7af9c6fd
--- /dev/null
+++ b/data/hfopenllm_v2/akhadangi/Llama3.2.1B.0.01-Last/e7c70ff9-59ad-4d09-8af0-ef9cf16d1dfa.json
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/akhadangi/Llama3.2.1B.0.1-First/26c4c993-ae49-42a0-be0a-f157be9f7d58.json b/data/hfopenllm_v2/akhadangi/Llama3.2.1B.0.1-First/26c4c993-ae49-42a0-be0a-f157be9f7d58.json
new file mode 100644
index 000000000..79629d7c0
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+++ b/data/hfopenllm_v2/akhadangi/Llama3.2.1B.0.1-First/26c4c993-ae49-42a0-be0a-f157be9f7d58.json
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/akhadangi/Llama3.2.1B.0.1-Last/19adf124-c120-4e97-80cf-49c40a66eb81.json b/data/hfopenllm_v2/akhadangi/Llama3.2.1B.0.1-Last/19adf124-c120-4e97-80cf-49c40a66eb81.json
new file mode 100644
index 000000000..75815fcac
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+++ b/data/hfopenllm_v2/akhadangi/Llama3.2.1B.0.1-Last/19adf124-c120-4e97-80cf-49c40a66eb81.json
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/akhadangi/Llama3.2.1B.BaseFiT/66bc5d38-8d25-4934-bce8-41ce4ea0e385.json b/data/hfopenllm_v2/akhadangi/Llama3.2.1B.BaseFiT/66bc5d38-8d25-4934-bce8-41ce4ea0e385.json
new file mode 100644
index 000000000..37dbf8a34
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+++ b/data/hfopenllm_v2/akhadangi/Llama3.2.1B.BaseFiT/66bc5d38-8d25-4934-bce8-41ce4ea0e385.json
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/akjindal53244/Llama-3.1-Storm-8B/541eafe5-807e-44b0-b652-a0752210fc71.json b/data/hfopenllm_v2/akjindal53244/Llama-3.1-Storm-8B/541eafe5-807e-44b0-b652-a0752210fc71.json
new file mode 100644
index 000000000..a6b87b5af
--- /dev/null
+++ b/data/hfopenllm_v2/akjindal53244/Llama-3.1-Storm-8B/541eafe5-807e-44b0-b652-a0752210fc71.json
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+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5189
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1722
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3263
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4028
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3803
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/akjindal53244/Llama-3.1-Storm-8B/845a2484-9f17-4c0e-b06b-6250992298bc.json b/data/hfopenllm_v2/akjindal53244/Llama-3.1-Storm-8B/845a2484-9f17-4c0e-b06b-6250992298bc.json
new file mode 100644
index 000000000..8d84dffa8
--- /dev/null
+++ b/data/hfopenllm_v2/akjindal53244/Llama-3.1-Storm-8B/845a2484-9f17-4c0e-b06b-6250992298bc.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/akjindal53244_Llama-3.1-Storm-8B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-3.1-Storm-8B",
+    "id": "akjindal53244/Llama-3.1-Storm-8B",
+    "developer": "akjindal53244",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.8033
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5196
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1624
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3096
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4028
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3812
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/alcholjung/llama3_medical_tuned/e62b6b26-5f3c-42c9-9541-bb8b23caee66.json b/data/hfopenllm_v2/alcholjung/llama3_medical_tuned/e62b6b26-5f3c-42c9-9541-bb8b23caee66.json
new file mode 100644
index 000000000..e59f216fd
--- /dev/null
+++ b/data/hfopenllm_v2/alcholjung/llama3_medical_tuned/e62b6b26-5f3c-42c9-9541-bb8b23caee66.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/alcholjung_llama3_medical_tuned/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "llama3_medical_tuned",
+    "id": "alcholjung/llama3_medical_tuned",
+    "developer": "alcholjung",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "?",
+      "params_billions": 16.061
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0106
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4513
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0468
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2861
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.466
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2946
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/alibaba/1-800-LLMs/Qwen-2.5-14B-Hindi/21ba6052-9614-454e-999d-ef4f0f693c6c.json b/data/hfopenllm_v2/alibaba/1-800-LLMs/Qwen-2.5-14B-Hindi/21ba6052-9614-454e-999d-ef4f0f693c6c.json
deleted file mode 100644
index 23ffec9ab..000000000
--- a/data/hfopenllm_v2/alibaba/1-800-LLMs/Qwen-2.5-14B-Hindi/21ba6052-9614-454e-999d-ef4f0f693c6c.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/1-800-LLMs_Qwen-2.5-14B-Hindi/1762652579.467683",
-  "retrieved_timestamp": "1762652579.4676852",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "1-800-LLMs/Qwen-2.5-14B-Hindi",
-    "developer": "alibaba",
-    "inference_platform": "unknown",
-    "id": "1-800-LLMs/Qwen-2.5-14B-Hindi",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 14.77
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.582570911847232
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6523901531956199
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3330815709969788
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3624161073825503
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4489375
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5262632978723404
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/alibaba/1024m/QWEN-14B-B100/745bd077-3a0f-4c06-8d19-d7c160512446.json b/data/hfopenllm_v2/alibaba/1024m/QWEN-14B-B100/745bd077-3a0f-4c06-8d19-d7c160512446.json
deleted file mode 100644
index 5df2638f0..000000000
--- a/data/hfopenllm_v2/alibaba/1024m/QWEN-14B-B100/745bd077-3a0f-4c06-8d19-d7c160512446.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/1024m_QWEN-14B-B100/1762652579.468843",
-  "retrieved_timestamp": "1762652579.4688451",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "1024m/QWEN-14B-B100",
-    "developer": "alibaba",
-    "inference_platform": "unknown",
-    "id": "1024m/QWEN-14B-B100",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 14.77
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7762104549262623
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
-        "score": 0.35067114093959734
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-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5178690159574468
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-  ]
-}
diff --git a/data/hfopenllm_v2/alibaba/Aashraf995/Qwen-Evo-7B/705ae322-fed9-4a98-a79e-e0b289065ba9.json b/data/hfopenllm_v2/alibaba/Aashraf995/Qwen-Evo-7B/705ae322-fed9-4a98-a79e-e0b289065ba9.json
deleted file mode 100644
index e7020dcb3..000000000
--- a/data/hfopenllm_v2/alibaba/Aashraf995/Qwen-Evo-7B/705ae322-fed9-4a98-a79e-e0b289065ba9.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Aashraf995_Qwen-Evo-7B/1762652579.4765608",
-  "retrieved_timestamp": "1762652579.476562",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Aashraf995/Qwen-Evo-7B",
-    "developer": "alibaba",
-    "inference_platform": "unknown",
-    "id": "Aashraf995/Qwen-Evo-7B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.616
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4757343847657549
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-        "score": 0.5709361538590277
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-        "score": 0.31419939577039274
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-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
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diff --git a/data/hfopenllm_v2/alibaba/Aashraf995/QwenStock-14B/7888b813-8ef1-4367-8168-edd1bd3c7888.json b/data/hfopenllm_v2/alibaba/Aashraf995/QwenStock-14B/7888b813-8ef1-4367-8168-edd1bd3c7888.json
deleted file mode 100644
index dac7bdee2..000000000
--- a/data/hfopenllm_v2/alibaba/Aashraf995/QwenStock-14B/7888b813-8ef1-4367-8168-edd1bd3c7888.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/Alsebay/Qwen2.5-7B-test-novelist/19ff3120-2171-48b3-8db6-1c76bb57cf47.json b/data/hfopenllm_v2/alibaba/Alsebay/Qwen2.5-7B-test-novelist/19ff3120-2171-48b3-8db6-1c76bb57cf47.json
deleted file mode 100644
index 3db7b16d7..000000000
--- a/data/hfopenllm_v2/alibaba/Alsebay/Qwen2.5-7B-test-novelist/19ff3120-2171-48b3-8db6-1c76bb57cf47.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/Aryanne/QwentileSwap/ee2c5dd9-09db-45fa-8e67-961993d30672.json b/data/hfopenllm_v2/alibaba/Aryanne/QwentileSwap/ee2c5dd9-09db-45fa-8e67-961993d30672.json
deleted file mode 100644
index 1368fcd77..000000000
--- a/data/hfopenllm_v2/alibaba/Aryanne/QwentileSwap/ee2c5dd9-09db-45fa-8e67-961993d30672.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/AtAndDev/Qwen2.5-1.5B-continuous-learnt/1a2d8396-4ff1-4386-a76b-d4863c7736c5.json b/data/hfopenllm_v2/alibaba/AtAndDev/Qwen2.5-1.5B-continuous-learnt/1a2d8396-4ff1-4386-a76b-d4863c7736c5.json
deleted file mode 100644
index 4fae83f76..000000000
--- a/data/hfopenllm_v2/alibaba/AtAndDev/Qwen2.5-1.5B-continuous-learnt/1a2d8396-4ff1-4386-a76b-d4863c7736c5.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/AtAndDev/Qwen2.5-1.5B-continuous-learnt/4f7f368f-0646-4c16-80de-69d9c5e28193.json b/data/hfopenllm_v2/alibaba/AtAndDev/Qwen2.5-1.5B-continuous-learnt/4f7f368f-0646-4c16-80de-69d9c5e28193.json
deleted file mode 100644
index 89011b946..000000000
--- a/data/hfopenllm_v2/alibaba/AtAndDev/Qwen2.5-1.5B-continuous-learnt/4f7f368f-0646-4c16-80de-69d9c5e28193.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/CombinHorizon/Josiefied-abliteratedV4-Qwen2.5-14B-Inst-BaseMerge-TIES/dcd14b21-f2fd-4c10-bf83-b6bb946f2789.json b/data/hfopenllm_v2/alibaba/CombinHorizon/Josiefied-abliteratedV4-Qwen2.5-14B-Inst-BaseMerge-TIES/dcd14b21-f2fd-4c10-bf83-b6bb946f2789.json
deleted file mode 100644
index c6d3ef409..000000000
--- a/data/hfopenllm_v2/alibaba/CombinHorizon/Josiefied-abliteratedV4-Qwen2.5-14B-Inst-BaseMerge-TIES/dcd14b21-f2fd-4c10-bf83-b6bb946f2789.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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deleted file mode 100644
index bc96be506..000000000
--- a/data/hfopenllm_v2/alibaba/CombinHorizon/Rombos-Qwen2.5-7B-Inst-BaseMerge-TIES/3171e54f-4c6f-40cf-ba6c-ef23b803ca33.json
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deleted file mode 100644
index 131b56cd5..000000000
--- a/data/hfopenllm_v2/alibaba/CombinHorizon/huihui-ai-abliterated-Qwen2.5-32B-Inst-BaseMerge-TIES/62faed28-8f0f-4ff8-894f-b4b5b754b4cf.json
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diff --git a/data/hfopenllm_v2/alibaba/CombinHorizon/huihui-ai-abliteratedV2-Qwen2.5-14B-Inst-BaseMerge-TIES/62b4c918-b33b-40cf-888b-42b116a9e04d.json b/data/hfopenllm_v2/alibaba/CombinHorizon/huihui-ai-abliteratedV2-Qwen2.5-14B-Inst-BaseMerge-TIES/62b4c918-b33b-40cf-888b-42b116a9e04d.json
deleted file mode 100644
index d1d8b204a..000000000
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diff --git a/data/hfopenllm_v2/alibaba/CombinHorizon/zetasepic-abliteratedV2-Qwen2.5-32B-Inst-BaseMerge-TIES/3bf71784-e6f1-405b-ad23-e74a91df7051.json b/data/hfopenllm_v2/alibaba/CombinHorizon/zetasepic-abliteratedV2-Qwen2.5-32B-Inst-BaseMerge-TIES/3bf71784-e6f1-405b-ad23-e74a91df7051.json
deleted file mode 100644
index c42fd78fe..000000000
--- a/data/hfopenllm_v2/alibaba/CombinHorizon/zetasepic-abliteratedV2-Qwen2.5-32B-Inst-BaseMerge-TIES/3bf71784-e6f1-405b-ad23-e74a91df7051.json
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diff --git a/data/hfopenllm_v2/alibaba/CoolSpring/Qwen2-0.5B-Abyme-merge2/2121d736-eec6-4a86-bae0-cd032f9eb603.json b/data/hfopenllm_v2/alibaba/CoolSpring/Qwen2-0.5B-Abyme-merge2/2121d736-eec6-4a86-bae0-cd032f9eb603.json
deleted file mode 100644
index 4f2170640..000000000
--- a/data/hfopenllm_v2/alibaba/CoolSpring/Qwen2-0.5B-Abyme-merge2/2121d736-eec6-4a86-bae0-cd032f9eb603.json
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diff --git a/data/hfopenllm_v2/alibaba/CoolSpring/Qwen2-0.5B-Abyme-merge3/2a633e8b-b35a-4a26-83bb-b471bab18ed2.json b/data/hfopenllm_v2/alibaba/CoolSpring/Qwen2-0.5B-Abyme-merge3/2a633e8b-b35a-4a26-83bb-b471bab18ed2.json
deleted file mode 100644
index 68840d7ba..000000000
--- a/data/hfopenllm_v2/alibaba/CoolSpring/Qwen2-0.5B-Abyme-merge3/2a633e8b-b35a-4a26-83bb-b471bab18ed2.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/CoolSpring/Qwen2-0.5B-Abyme/46d2afd2-b620-4474-ac6c-4f6bdef93d1c.json b/data/hfopenllm_v2/alibaba/CoolSpring/Qwen2-0.5B-Abyme/46d2afd2-b620-4474-ac6c-4f6bdef93d1c.json
deleted file mode 100644
index e84e49427..000000000
--- a/data/hfopenllm_v2/alibaba/CoolSpring/Qwen2-0.5B-Abyme/46d2afd2-b620-4474-ac6c-4f6bdef93d1c.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/CultriX/Qwen2.5-14B-Broca/4429613e-2db7-4061-931f-eaa70d202b71.json b/data/hfopenllm_v2/alibaba/CultriX/Qwen2.5-14B-Broca/4429613e-2db7-4061-931f-eaa70d202b71.json
deleted file mode 100644
index e0fc51422..000000000
--- a/data/hfopenllm_v2/alibaba/CultriX/Qwen2.5-14B-Broca/4429613e-2db7-4061-931f-eaa70d202b71.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/CultriX/Qwen2.5-14B-BrocaV9/782219f0-25f7-465b-9f86-5e48c9d4703e.json b/data/hfopenllm_v2/alibaba/CultriX/Qwen2.5-14B-BrocaV9/782219f0-25f7-465b-9f86-5e48c9d4703e.json
deleted file mode 100644
index 4f5f96433..000000000
--- a/data/hfopenllm_v2/alibaba/CultriX/Qwen2.5-14B-BrocaV9/782219f0-25f7-465b-9f86-5e48c9d4703e.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/CultriX/Qwen2.5-14B-Brocav3/7abe4912-4e21-4774-8011-482603f7bcc0.json b/data/hfopenllm_v2/alibaba/CultriX/Qwen2.5-14B-Brocav3/7abe4912-4e21-4774-8011-482603f7bcc0.json
deleted file mode 100644
index 71abf688a..000000000
--- a/data/hfopenllm_v2/alibaba/CultriX/Qwen2.5-14B-Brocav3/7abe4912-4e21-4774-8011-482603f7bcc0.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/CultriX/Qwen2.5-14B-Brocav6/63a1000f-1de8-42ef-a905-70b78bf46417.json b/data/hfopenllm_v2/alibaba/CultriX/Qwen2.5-14B-Brocav6/63a1000f-1de8-42ef-a905-70b78bf46417.json
deleted file mode 100644
index 43f8ed16b..000000000
--- a/data/hfopenllm_v2/alibaba/CultriX/Qwen2.5-14B-Brocav6/63a1000f-1de8-42ef-a905-70b78bf46417.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/CultriX/Qwen2.5-14B-Brocav7/6966d397-d336-455a-a156-c2e6430c813f.json b/data/hfopenllm_v2/alibaba/CultriX/Qwen2.5-14B-Brocav7/6966d397-d336-455a-a156-c2e6430c813f.json
deleted file mode 100644
index 1fa61be78..000000000
--- a/data/hfopenllm_v2/alibaba/CultriX/Qwen2.5-14B-Brocav7/6966d397-d336-455a-a156-c2e6430c813f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/CultriX/Qwen2.5-14B-Emerged/15af5216-fc3d-4102-bbed-eb5b7d0ecf48.json b/data/hfopenllm_v2/alibaba/CultriX/Qwen2.5-14B-Emerged/15af5216-fc3d-4102-bbed-eb5b7d0ecf48.json
deleted file mode 100644
index d3c2ecd2f..000000000
--- a/data/hfopenllm_v2/alibaba/CultriX/Qwen2.5-14B-Emerged/15af5216-fc3d-4102-bbed-eb5b7d0ecf48.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/CultriX/Qwen2.5-14B-Emergedv3/7b125482-fd80-4f71-b398-9421333ee736.json b/data/hfopenllm_v2/alibaba/CultriX/Qwen2.5-14B-Emergedv3/7b125482-fd80-4f71-b398-9421333ee736.json
deleted file mode 100644
index b44a07599..000000000
--- a/data/hfopenllm_v2/alibaba/CultriX/Qwen2.5-14B-Emergedv3/7b125482-fd80-4f71-b398-9421333ee736.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/CultriX/Qwen2.5-14B-FinalMerge/36ebe0b7-51ae-4ea5-ba42-c9fd0d717259.json b/data/hfopenllm_v2/alibaba/CultriX/Qwen2.5-14B-FinalMerge/36ebe0b7-51ae-4ea5-ba42-c9fd0d717259.json
deleted file mode 100644
index df0d25108..000000000
--- a/data/hfopenllm_v2/alibaba/CultriX/Qwen2.5-14B-FinalMerge/36ebe0b7-51ae-4ea5-ba42-c9fd0d717259.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/CultriX/Qwen2.5-14B-Hyper/8412921a-ad8c-4106-a3a1-9259d2ddb074.json b/data/hfopenllm_v2/alibaba/CultriX/Qwen2.5-14B-Hyper/8412921a-ad8c-4106-a3a1-9259d2ddb074.json
deleted file mode 100644
index a2eab7bb9..000000000
--- a/data/hfopenllm_v2/alibaba/CultriX/Qwen2.5-14B-Hyper/8412921a-ad8c-4106-a3a1-9259d2ddb074.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/CultriX/Qwen2.5-14B-HyperMarck-dl/5b6ef372-86e5-4fc1-85ba-5a76517bb10f.json b/data/hfopenllm_v2/alibaba/CultriX/Qwen2.5-14B-HyperMarck-dl/5b6ef372-86e5-4fc1-85ba-5a76517bb10f.json
deleted file mode 100644
index a977c3d75..000000000
--- a/data/hfopenllm_v2/alibaba/CultriX/Qwen2.5-14B-HyperMarck-dl/5b6ef372-86e5-4fc1-85ba-5a76517bb10f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/CultriX/Qwen2.5-14B-Hyperionv3/d6700ad3-d858-4420-96b1-d690984ebcaa.json b/data/hfopenllm_v2/alibaba/CultriX/Qwen2.5-14B-Hyperionv3/d6700ad3-d858-4420-96b1-d690984ebcaa.json
deleted file mode 100644
index c7c21a1e1..000000000
--- a/data/hfopenllm_v2/alibaba/CultriX/Qwen2.5-14B-Hyperionv3/d6700ad3-d858-4420-96b1-d690984ebcaa.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/CultriX/Qwen2.5-14B-Hyperionv4/7c4a43f8-be43-44d7-a514-f02b70ec367c.json b/data/hfopenllm_v2/alibaba/CultriX/Qwen2.5-14B-Hyperionv4/7c4a43f8-be43-44d7-a514-f02b70ec367c.json
deleted file mode 100644
index 7ff2f807c..000000000
--- a/data/hfopenllm_v2/alibaba/CultriX/Qwen2.5-14B-Hyperionv4/7c4a43f8-be43-44d7-a514-f02b70ec367c.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/CultriX/Qwen2.5-14B-Hyperionv5/5b1e2a5e-cd92-4ad4-b12d-0540461f9f5e.json b/data/hfopenllm_v2/alibaba/CultriX/Qwen2.5-14B-Hyperionv5/5b1e2a5e-cd92-4ad4-b12d-0540461f9f5e.json
deleted file mode 100644
index 2e3b90063..000000000
--- a/data/hfopenllm_v2/alibaba/CultriX/Qwen2.5-14B-Hyperionv5/5b1e2a5e-cd92-4ad4-b12d-0540461f9f5e.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/CultriX/Qwen2.5-14B-MegaMerge-pt2/f269bb45-d627-49b9-953b-5c8591433aa7.json b/data/hfopenllm_v2/alibaba/CultriX/Qwen2.5-14B-MegaMerge-pt2/f269bb45-d627-49b9-953b-5c8591433aa7.json
deleted file mode 100644
index 388670ec4..000000000
--- a/data/hfopenllm_v2/alibaba/CultriX/Qwen2.5-14B-MegaMerge-pt2/f269bb45-d627-49b9-953b-5c8591433aa7.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/CultriX/Qwen2.5-14B-MergeStock/c1db0f86-a3d9-4aa4-9fe3-0442fc63ad25.json b/data/hfopenllm_v2/alibaba/CultriX/Qwen2.5-14B-MergeStock/c1db0f86-a3d9-4aa4-9fe3-0442fc63ad25.json
deleted file mode 100644
index ca4a38b6e..000000000
--- a/data/hfopenllm_v2/alibaba/CultriX/Qwen2.5-14B-MergeStock/c1db0f86-a3d9-4aa4-9fe3-0442fc63ad25.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/alibaba/CultriX/Qwen2.5-14B-ReasoningMerge/df6199fa-3797-4b88-b5fc-e429f513932b.json b/data/hfopenllm_v2/alibaba/CultriX/Qwen2.5-14B-ReasoningMerge/df6199fa-3797-4b88-b5fc-e429f513932b.json
deleted file mode 100644
index bced68a94..000000000
--- a/data/hfopenllm_v2/alibaba/CultriX/Qwen2.5-14B-ReasoningMerge/df6199fa-3797-4b88-b5fc-e429f513932b.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/CultriX/Qwen2.5-14B-Ultimav2/b76ac8f6-7355-4bbf-ad8f-d8fc967120a1.json b/data/hfopenllm_v2/alibaba/CultriX/Qwen2.5-14B-Ultimav2/b76ac8f6-7355-4bbf-ad8f-d8fc967120a1.json
deleted file mode 100644
index c80229807..000000000
--- a/data/hfopenllm_v2/alibaba/CultriX/Qwen2.5-14B-Ultimav2/b76ac8f6-7355-4bbf-ad8f-d8fc967120a1.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/CultriX/Qwen2.5-14B-Unity/efd5d269-fc83-43f0-9054-dc3bdf40f180.json b/data/hfopenllm_v2/alibaba/CultriX/Qwen2.5-14B-Unity/efd5d269-fc83-43f0-9054-dc3bdf40f180.json
deleted file mode 100644
index 4d0e64b42..000000000
--- a/data/hfopenllm_v2/alibaba/CultriX/Qwen2.5-14B-Unity/efd5d269-fc83-43f0-9054-dc3bdf40f180.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/CultriX/Qwen2.5-14B-Wernicke-SLERP/8359ce66-d904-4092-92be-5e2dbb372677.json b/data/hfopenllm_v2/alibaba/CultriX/Qwen2.5-14B-Wernicke-SLERP/8359ce66-d904-4092-92be-5e2dbb372677.json
deleted file mode 100644
index ecc4a209f..000000000
--- a/data/hfopenllm_v2/alibaba/CultriX/Qwen2.5-14B-Wernicke-SLERP/8359ce66-d904-4092-92be-5e2dbb372677.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/CultriX/Qwen2.5-14B-Wernicke/6c2287bb-69b0-4b23-ba15-ff4a600e4aa7.json b/data/hfopenllm_v2/alibaba/CultriX/Qwen2.5-14B-Wernicke/6c2287bb-69b0-4b23-ba15-ff4a600e4aa7.json
deleted file mode 100644
index 79361cc0d..000000000
--- a/data/hfopenllm_v2/alibaba/CultriX/Qwen2.5-14B-Wernicke/6c2287bb-69b0-4b23-ba15-ff4a600e4aa7.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/CultriX/Qwen2.5-14B-Wernickev3/a4f5037a-381b-4726-b90d-ba559058772c.json b/data/hfopenllm_v2/alibaba/CultriX/Qwen2.5-14B-Wernickev3/a4f5037a-381b-4726-b90d-ba559058772c.json
deleted file mode 100644
index 0c2a9cde6..000000000
--- a/data/hfopenllm_v2/alibaba/CultriX/Qwen2.5-14B-Wernickev3/a4f5037a-381b-4726-b90d-ba559058772c.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/CultriX/Qwen2.5-14B-partialmergept1/852ffa19-285b-4037-ac60-63f24cafcecb.json b/data/hfopenllm_v2/alibaba/CultriX/Qwen2.5-14B-partialmergept1/852ffa19-285b-4037-ac60-63f24cafcecb.json
deleted file mode 100644
index b05d00b30..000000000
--- a/data/hfopenllm_v2/alibaba/CultriX/Qwen2.5-14B-partialmergept1/852ffa19-285b-4037-ac60-63f24cafcecb.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/CultriX/Qwenfinity-2.5-14B/4fba9290-886e-490d-aaeb-068f8c679006.json b/data/hfopenllm_v2/alibaba/CultriX/Qwenfinity-2.5-14B/4fba9290-886e-490d-aaeb-068f8c679006.json
deleted file mode 100644
index e728ae563..000000000
--- a/data/hfopenllm_v2/alibaba/CultriX/Qwenfinity-2.5-14B/4fba9290-886e-490d-aaeb-068f8c679006.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/CultriX/SeQwence-14B-EvolMerge/44823eb6-717b-4508-a745-7821545dd3c2.json b/data/hfopenllm_v2/alibaba/CultriX/SeQwence-14B-EvolMerge/44823eb6-717b-4508-a745-7821545dd3c2.json
deleted file mode 100644
index 8966c0e92..000000000
--- a/data/hfopenllm_v2/alibaba/CultriX/SeQwence-14B-EvolMerge/44823eb6-717b-4508-a745-7821545dd3c2.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/CultriX/SeQwence-14B-EvolMergev1/e2621a1f-af39-48fe-a56b-18e9b396a476.json b/data/hfopenllm_v2/alibaba/CultriX/SeQwence-14B-EvolMergev1/e2621a1f-af39-48fe-a56b-18e9b396a476.json
deleted file mode 100644
index 01ac2db9f..000000000
--- a/data/hfopenllm_v2/alibaba/CultriX/SeQwence-14B-EvolMergev1/e2621a1f-af39-48fe-a56b-18e9b396a476.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/CultriX/SeQwence-14B-v5/6a7ae44e-93f6-4371-b3a6-585a099aa7c7.json b/data/hfopenllm_v2/alibaba/CultriX/SeQwence-14B-v5/6a7ae44e-93f6-4371-b3a6-585a099aa7c7.json
deleted file mode 100644
index 59a6202a1..000000000
--- a/data/hfopenllm_v2/alibaba/CultriX/SeQwence-14B-v5/6a7ae44e-93f6-4371-b3a6-585a099aa7c7.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/CultriX/SeQwence-14B/b9f3e9d1-e1f9-44cd-9067-c949adfbe553.json b/data/hfopenllm_v2/alibaba/CultriX/SeQwence-14B/b9f3e9d1-e1f9-44cd-9067-c949adfbe553.json
deleted file mode 100644
index c4e1c3a60..000000000
--- a/data/hfopenllm_v2/alibaba/CultriX/SeQwence-14B/b9f3e9d1-e1f9-44cd-9067-c949adfbe553.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/CultriX/SeQwence-14Bv1/f4505219-fc0d-4f7b-ad71-3c9fef064c28.json b/data/hfopenllm_v2/alibaba/CultriX/SeQwence-14Bv1/f4505219-fc0d-4f7b-ad71-3c9fef064c28.json
deleted file mode 100644
index fa26a6559..000000000
--- a/data/hfopenllm_v2/alibaba/CultriX/SeQwence-14Bv1/f4505219-fc0d-4f7b-ad71-3c9fef064c28.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/CultriX/SeQwence-14Bv2/49eccc70-6321-451b-87e9-29907cfb53a0.json b/data/hfopenllm_v2/alibaba/CultriX/SeQwence-14Bv2/49eccc70-6321-451b-87e9-29907cfb53a0.json
deleted file mode 100644
index 55b7ceeb6..000000000
--- a/data/hfopenllm_v2/alibaba/CultriX/SeQwence-14Bv2/49eccc70-6321-451b-87e9-29907cfb53a0.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/CultriX/SeQwence-14Bv3/4857c00b-e4fb-417a-8b63-a5b7e9298b40.json b/data/hfopenllm_v2/alibaba/CultriX/SeQwence-14Bv3/4857c00b-e4fb-417a-8b63-a5b7e9298b40.json
deleted file mode 100644
index 483fbd40d..000000000
--- a/data/hfopenllm_v2/alibaba/CultriX/SeQwence-14Bv3/4857c00b-e4fb-417a-8b63-a5b7e9298b40.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/Danielbrdz/Barcenas-R1-Qwen-1.5b/c5330fb2-e914-4170-81f8-77a317ba557c.json b/data/hfopenllm_v2/alibaba/Danielbrdz/Barcenas-R1-Qwen-1.5b/c5330fb2-e914-4170-81f8-77a317ba557c.json
deleted file mode 100644
index b8a39be91..000000000
--- a/data/hfopenllm_v2/alibaba/Danielbrdz/Barcenas-R1-Qwen-1.5b/c5330fb2-e914-4170-81f8-77a317ba557c.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/DavidAU/DeepSeek-R1-Distill-Qwen-25.5B-Brainstorm/4b7dd9db-5e94-4885-96f8-189af8d97c09.json b/data/hfopenllm_v2/alibaba/DavidAU/DeepSeek-R1-Distill-Qwen-25.5B-Brainstorm/4b7dd9db-5e94-4885-96f8-189af8d97c09.json
deleted file mode 100644
index d4e8fb0f5..000000000
--- a/data/hfopenllm_v2/alibaba/DavidAU/DeepSeek-R1-Distill-Qwen-25.5B-Brainstorm/4b7dd9db-5e94-4885-96f8-189af8d97c09.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/DavidAU/Qwen2.5-MOE-2X1.5B-DeepSeek-Uncensored-Censored-4B/78e7f7ee-3677-499a-aa36-2e8bf0902bf0.json b/data/hfopenllm_v2/alibaba/DavidAU/Qwen2.5-MOE-2X1.5B-DeepSeek-Uncensored-Censored-4B/78e7f7ee-3677-499a-aa36-2e8bf0902bf0.json
deleted file mode 100644
index f9576ead9..000000000
--- a/data/hfopenllm_v2/alibaba/DavidAU/Qwen2.5-MOE-2X1.5B-DeepSeek-Uncensored-Censored-4B/78e7f7ee-3677-499a-aa36-2e8bf0902bf0.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/DavidAU/Qwen2.5-MOE-2X7B-DeepSeek-Abliterated-Censored-19B/d65793ba-f363-4665-9ff5-1ac08e819d55.json b/data/hfopenllm_v2/alibaba/DavidAU/Qwen2.5-MOE-2X7B-DeepSeek-Abliterated-Censored-19B/d65793ba-f363-4665-9ff5-1ac08e819d55.json
deleted file mode 100644
index 60addf5ed..000000000
--- a/data/hfopenllm_v2/alibaba/DavidAU/Qwen2.5-MOE-2X7B-DeepSeek-Abliterated-Censored-19B/d65793ba-f363-4665-9ff5-1ac08e819d55.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "model_info": {
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-    "developer": "alibaba",
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diff --git a/data/hfopenllm_v2/alibaba/DavidAU/Qwen2.5-MOE-6x1.5B-DeepSeek-Reasoning-e32/c142222c-836d-493f-a9f8-857426e0573c.json b/data/hfopenllm_v2/alibaba/DavidAU/Qwen2.5-MOE-6x1.5B-DeepSeek-Reasoning-e32/c142222c-836d-493f-a9f8-857426e0573c.json
deleted file mode 100644
index ae4fc4f1a..000000000
--- a/data/hfopenllm_v2/alibaba/DavidAU/Qwen2.5-MOE-6x1.5B-DeepSeek-Reasoning-e32/c142222c-836d-493f-a9f8-857426e0573c.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-    "id": "DavidAU/Qwen2.5-MOE-6x1.5B-DeepSeek-Reasoning-e32",
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diff --git a/data/hfopenllm_v2/alibaba/DeepMount00/Qwen2-1.5B-Ita/6669c8b8-91d6-4f14-8cfb-a6422352850d.json b/data/hfopenllm_v2/alibaba/DeepMount00/Qwen2-1.5B-Ita/6669c8b8-91d6-4f14-8cfb-a6422352850d.json
deleted file mode 100644
index 03ea7766f..000000000
--- a/data/hfopenllm_v2/alibaba/DeepMount00/Qwen2-1.5B-Ita/6669c8b8-91d6-4f14-8cfb-a6422352850d.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/DeepMount00/Qwen2-1.5B-Ita_v2/78ec8596-ee15-4e94-8bc8-77c6bdffc541.json b/data/hfopenllm_v2/alibaba/DeepMount00/Qwen2-1.5B-Ita_v2/78ec8596-ee15-4e94-8bc8-77c6bdffc541.json
deleted file mode 100644
index 3ebdf930d..000000000
--- a/data/hfopenllm_v2/alibaba/DeepMount00/Qwen2-1.5B-Ita_v2/78ec8596-ee15-4e94-8bc8-77c6bdffc541.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/DeepMount00/Qwen2-1.5B-Ita_v3/f9cac378-3bdb-4c66-8193-502773c5c5eb.json b/data/hfopenllm_v2/alibaba/DeepMount00/Qwen2-1.5B-Ita_v3/f9cac378-3bdb-4c66-8193-502773c5c5eb.json
deleted file mode 100644
index fccc6afcc..000000000
--- a/data/hfopenllm_v2/alibaba/DeepMount00/Qwen2-1.5B-Ita_v3/f9cac378-3bdb-4c66-8193-502773c5c5eb.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-    "developer": "alibaba",
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diff --git a/data/hfopenllm_v2/alibaba/DeepMount00/Qwen2-1.5B-Ita_v5/04f0529b-474c-42d2-99a8-e3bdd5c18eaf.json b/data/hfopenllm_v2/alibaba/DeepMount00/Qwen2-1.5B-Ita_v5/04f0529b-474c-42d2-99a8-e3bdd5c18eaf.json
deleted file mode 100644
index 0bb26cecd..000000000
--- a/data/hfopenllm_v2/alibaba/DeepMount00/Qwen2-1.5B-Ita_v5/04f0529b-474c-42d2-99a8-e3bdd5c18eaf.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/DeepMount00/Qwen2-1.5B-Ita_v6/041f6e95-b7d1-44c6-a995-0c8257e188aa.json b/data/hfopenllm_v2/alibaba/DeepMount00/Qwen2-1.5B-Ita_v6/041f6e95-b7d1-44c6-a995-0c8257e188aa.json
deleted file mode 100644
index fe88dda9b..000000000
--- a/data/hfopenllm_v2/alibaba/DeepMount00/Qwen2-1.5B-Ita_v6/041f6e95-b7d1-44c6-a995-0c8257e188aa.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/Dongwei/DeepSeek-R1-Distill-Qwen-7B-GRPO/b36b915f-3c4a-40e8-ab78-8442dbe116e1.json b/data/hfopenllm_v2/alibaba/Dongwei/DeepSeek-R1-Distill-Qwen-7B-GRPO/b36b915f-3c4a-40e8-ab78-8442dbe116e1.json
deleted file mode 100644
index 1579a4c04..000000000
--- a/data/hfopenllm_v2/alibaba/Dongwei/DeepSeek-R1-Distill-Qwen-7B-GRPO/b36b915f-3c4a-40e8-ab78-8442dbe116e1.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/EVA-UNIT-01/EVA-Qwen2.5-14B-v0.2/3ba36700-5019-4525-bf5e-6a87cce7ecc5.json b/data/hfopenllm_v2/alibaba/EVA-UNIT-01/EVA-Qwen2.5-14B-v0.2/3ba36700-5019-4525-bf5e-6a87cce7ecc5.json
deleted file mode 100644
index 7ad7408b4..000000000
--- a/data/hfopenllm_v2/alibaba/EVA-UNIT-01/EVA-Qwen2.5-14B-v0.2/3ba36700-5019-4525-bf5e-6a87cce7ecc5.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/EVA-UNIT-01/EVA-Qwen2.5-72B-v0.2/9e315ba7-3eea-4934-822e-461e64bf8551.json b/data/hfopenllm_v2/alibaba/EVA-UNIT-01/EVA-Qwen2.5-72B-v0.2/9e315ba7-3eea-4934-822e-461e64bf8551.json
deleted file mode 100644
index 1d3e68188..000000000
--- a/data/hfopenllm_v2/alibaba/EVA-UNIT-01/EVA-Qwen2.5-72B-v0.2/9e315ba7-3eea-4934-822e-461e64bf8551.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/Etherll/Qwen2.5-7B-della-test/777b5587-70b2-472f-a6e4-820d653669cd.json b/data/hfopenllm_v2/alibaba/Etherll/Qwen2.5-7B-della-test/777b5587-70b2-472f-a6e4-820d653669cd.json
deleted file mode 100644
index 009786479..000000000
--- a/data/hfopenllm_v2/alibaba/Etherll/Qwen2.5-7B-della-test/777b5587-70b2-472f-a6e4-820d653669cd.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/HPAI-BSC/Qwen2.5-Aloe-Beta-7B/a99dbb21-4f7d-4ac0-b403-2f8bf7aa92b1.json b/data/hfopenllm_v2/alibaba/HPAI-BSC/Qwen2.5-Aloe-Beta-7B/a99dbb21-4f7d-4ac0-b403-2f8bf7aa92b1.json
deleted file mode 100644
index 346ab1b63..000000000
--- a/data/hfopenllm_v2/alibaba/HPAI-BSC/Qwen2.5-Aloe-Beta-7B/a99dbb21-4f7d-4ac0-b403-2f8bf7aa92b1.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/HeraiHench/DeepSeek-R1-Qwen-Coder-8B/a0730f18-1058-44b4-b6b6-0881ae2e6338.json b/data/hfopenllm_v2/alibaba/HeraiHench/DeepSeek-R1-Qwen-Coder-8B/a0730f18-1058-44b4-b6b6-0881ae2e6338.json
deleted file mode 100644
index e717210b8..000000000
--- a/data/hfopenllm_v2/alibaba/HeraiHench/DeepSeek-R1-Qwen-Coder-8B/a0730f18-1058-44b4-b6b6-0881ae2e6338.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/HeraiHench/Double-Down-Qwen-Math-7B/6e852e78-e666-413e-ac29-ad374bbc74f2.json b/data/hfopenllm_v2/alibaba/HeraiHench/Double-Down-Qwen-Math-7B/6e852e78-e666-413e-ac29-ad374bbc74f2.json
deleted file mode 100644
index 534c6704e..000000000
--- a/data/hfopenllm_v2/alibaba/HeraiHench/Double-Down-Qwen-Math-7B/6e852e78-e666-413e-ac29-ad374bbc74f2.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/HeraiHench/Marge-Qwen-Math-7B/07f4a9dc-16d7-4b75-922f-09f8e9ebed7d.json b/data/hfopenllm_v2/alibaba/HeraiHench/Marge-Qwen-Math-7B/07f4a9dc-16d7-4b75-922f-09f8e9ebed7d.json
deleted file mode 100644
index ddc2f30ce..000000000
--- a/data/hfopenllm_v2/alibaba/HeraiHench/Marge-Qwen-Math-7B/07f4a9dc-16d7-4b75-922f-09f8e9ebed7d.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/JayHyeon/Qwen-0.5B-IRPO-1epoch/0cbb4771-926d-4cf6-a78b-a5f4ac4d5902.json b/data/hfopenllm_v2/alibaba/JayHyeon/Qwen-0.5B-IRPO-1epoch/0cbb4771-926d-4cf6-a78b-a5f4ac4d5902.json
deleted file mode 100644
index 2f8524c9b..000000000
--- a/data/hfopenllm_v2/alibaba/JayHyeon/Qwen-0.5B-IRPO-1epoch/0cbb4771-926d-4cf6-a78b-a5f4ac4d5902.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/JayHyeon/Qwen-0.5B-IRPO-5epoch/301f71c8-fc1f-42e8-9029-f9d03574872b.json b/data/hfopenllm_v2/alibaba/JayHyeon/Qwen-0.5B-IRPO-5epoch/301f71c8-fc1f-42e8-9029-f9d03574872b.json
deleted file mode 100644
index c966cc8e3..000000000
--- a/data/hfopenllm_v2/alibaba/JayHyeon/Qwen-0.5B-IRPO-5epoch/301f71c8-fc1f-42e8-9029-f9d03574872b.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/JayHyeon/Qwen-0.5B-eDPO-1epoch/65e2f2b2-cb5b-40f3-b23a-8c0d185de219.json b/data/hfopenllm_v2/alibaba/JayHyeon/Qwen-0.5B-eDPO-1epoch/65e2f2b2-cb5b-40f3-b23a-8c0d185de219.json
deleted file mode 100644
index dea67fbe4..000000000
--- a/data/hfopenllm_v2/alibaba/JayHyeon/Qwen-0.5B-eDPO-1epoch/65e2f2b2-cb5b-40f3-b23a-8c0d185de219.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/JayHyeon/Qwen-0.5B-eDPO-5epoch/062a1dcd-2553-4657-8f89-a481ff62a193.json b/data/hfopenllm_v2/alibaba/JayHyeon/Qwen-0.5B-eDPO-5epoch/062a1dcd-2553-4657-8f89-a481ff62a193.json
deleted file mode 100644
index 40da6cda0..000000000
--- a/data/hfopenllm_v2/alibaba/JayHyeon/Qwen-0.5B-eDPO-5epoch/062a1dcd-2553-4657-8f89-a481ff62a193.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/JayHyeon/Qwen_0.5-IPO_5e-7-1ep_0alp_0lam/82b47608-08b5-4368-bead-aa117736c06d.json b/data/hfopenllm_v2/alibaba/JayHyeon/Qwen_0.5-IPO_5e-7-1ep_0alp_0lam/82b47608-08b5-4368-bead-aa117736c06d.json
deleted file mode 100644
index 62d64c45b..000000000
--- a/data/hfopenllm_v2/alibaba/JayHyeon/Qwen_0.5-IPO_5e-7-1ep_0alp_0lam/82b47608-08b5-4368-bead-aa117736c06d.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/JayHyeon/Qwen_0.5-IPO_5e-7-3ep_0alp_0lam/747310d0-7c30-4261-b2e8-a783d8753e9a.json b/data/hfopenllm_v2/alibaba/JayHyeon/Qwen_0.5-IPO_5e-7-3ep_0alp_0lam/747310d0-7c30-4261-b2e8-a783d8753e9a.json
deleted file mode 100644
index b740c1b59..000000000
--- a/data/hfopenllm_v2/alibaba/JayHyeon/Qwen_0.5-IPO_5e-7-3ep_0alp_0lam/747310d0-7c30-4261-b2e8-a783d8753e9a.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/JayHyeon/Qwen_0.5-IRPO_1e-6-3ep_1alp_0lam/a7b6a07a-70fc-4d34-9a92-265b848d22d7.json b/data/hfopenllm_v2/alibaba/JayHyeon/Qwen_0.5-IRPO_1e-6-3ep_1alp_0lam/a7b6a07a-70fc-4d34-9a92-265b848d22d7.json
deleted file mode 100644
index c42092b23..000000000
--- a/data/hfopenllm_v2/alibaba/JayHyeon/Qwen_0.5-IRPO_1e-6-3ep_1alp_0lam/a7b6a07a-70fc-4d34-9a92-265b848d22d7.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/JayHyeon/Qwen_0.5-IRPO_1e-7-3ep_1alp_0lam/99139c71-a4f2-45d7-95b8-a8b7720681aa.json b/data/hfopenllm_v2/alibaba/JayHyeon/Qwen_0.5-IRPO_1e-7-3ep_1alp_0lam/99139c71-a4f2-45d7-95b8-a8b7720681aa.json
deleted file mode 100644
index ec96d0746..000000000
--- a/data/hfopenllm_v2/alibaba/JayHyeon/Qwen_0.5-IRPO_1e-7-3ep_1alp_0lam/99139c71-a4f2-45d7-95b8-a8b7720681aa.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/JayHyeon/Qwen_0.5-IRPO_3e-6-1ep_1alp_0lam/6407040d-023d-476a-ac79-ef85e104eace.json b/data/hfopenllm_v2/alibaba/JayHyeon/Qwen_0.5-IRPO_3e-6-1ep_1alp_0lam/6407040d-023d-476a-ac79-ef85e104eace.json
deleted file mode 100644
index 451095eb1..000000000
--- a/data/hfopenllm_v2/alibaba/JayHyeon/Qwen_0.5-IRPO_3e-6-1ep_1alp_0lam/6407040d-023d-476a-ac79-ef85e104eace.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/JayHyeon/Qwen_0.5-IRPO_3e-6-2ep_1alp_0lam/64f71756-0a54-4a42-a96a-7056071c7dd0.json b/data/hfopenllm_v2/alibaba/JayHyeon/Qwen_0.5-IRPO_3e-6-2ep_1alp_0lam/64f71756-0a54-4a42-a96a-7056071c7dd0.json
deleted file mode 100644
index d673129e6..000000000
--- a/data/hfopenllm_v2/alibaba/JayHyeon/Qwen_0.5-IRPO_3e-6-2ep_1alp_0lam/64f71756-0a54-4a42-a96a-7056071c7dd0.json
+++ /dev/null
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diff --git a/data/hfopenllm_v2/alibaba/JayHyeon/Qwen_0.5-IRPO_3e-6-3ep_1alp_0lam/8c18d418-a0a4-435a-b31f-7d879c793b4c.json b/data/hfopenllm_v2/alibaba/JayHyeon/Qwen_0.5-IRPO_3e-6-3ep_1alp_0lam/8c18d418-a0a4-435a-b31f-7d879c793b4c.json
deleted file mode 100644
index ef61c84a2..000000000
--- a/data/hfopenllm_v2/alibaba/JayHyeon/Qwen_0.5-IRPO_3e-6-3ep_1alp_0lam/8c18d418-a0a4-435a-b31f-7d879c793b4c.json
+++ /dev/null
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diff --git a/data/hfopenllm_v2/alibaba/JayHyeon/Qwen_0.5-IRPO_3e-7-1ep_1alp_0lam/75e153a7-d699-4822-90b6-9d7da259e124.json b/data/hfopenllm_v2/alibaba/JayHyeon/Qwen_0.5-IRPO_3e-7-1ep_1alp_0lam/75e153a7-d699-4822-90b6-9d7da259e124.json
deleted file mode 100644
index 502ee00e0..000000000
--- a/data/hfopenllm_v2/alibaba/JayHyeon/Qwen_0.5-IRPO_3e-7-1ep_1alp_0lam/75e153a7-d699-4822-90b6-9d7da259e124.json
+++ /dev/null
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diff --git a/data/hfopenllm_v2/alibaba/JayHyeon/Qwen_0.5-IRPO_3e-7-3ep_1alp_0lam/836cc2ab-edbc-45fa-af8c-034d0239635b.json b/data/hfopenllm_v2/alibaba/JayHyeon/Qwen_0.5-IRPO_3e-7-3ep_1alp_0lam/836cc2ab-edbc-45fa-af8c-034d0239635b.json
deleted file mode 100644
index 2786c53ab..000000000
--- a/data/hfopenllm_v2/alibaba/JayHyeon/Qwen_0.5-IRPO_3e-7-3ep_1alp_0lam/836cc2ab-edbc-45fa-af8c-034d0239635b.json
+++ /dev/null
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diff --git a/data/hfopenllm_v2/alibaba/JayHyeon/Qwen_0.5-IRPO_5e-7-1ep_1alp_0lam/f270e1bd-7e75-4c6c-a701-9def96275025.json b/data/hfopenllm_v2/alibaba/JayHyeon/Qwen_0.5-IRPO_5e-7-1ep_1alp_0lam/f270e1bd-7e75-4c6c-a701-9def96275025.json
deleted file mode 100644
index 34d3090f0..000000000
--- a/data/hfopenllm_v2/alibaba/JayHyeon/Qwen_0.5-IRPO_5e-7-1ep_1alp_0lam/f270e1bd-7e75-4c6c-a701-9def96275025.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/JayHyeon/Qwen_0.5-IRPO_5e-7-2ep_1alp_0lam/02ec1b4f-f1e0-4c46-bff2-1475e95cff80.json b/data/hfopenllm_v2/alibaba/JayHyeon/Qwen_0.5-IRPO_5e-7-2ep_1alp_0lam/02ec1b4f-f1e0-4c46-bff2-1475e95cff80.json
deleted file mode 100644
index 12cfbe86a..000000000
--- a/data/hfopenllm_v2/alibaba/JayHyeon/Qwen_0.5-IRPO_5e-7-2ep_1alp_0lam/02ec1b4f-f1e0-4c46-bff2-1475e95cff80.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/JayHyeon/Qwen_0.5-IRPO_5e-7-3ep_1alp_0lam/9da4a976-09a2-4f1c-a15e-d498a2adfdd4.json b/data/hfopenllm_v2/alibaba/JayHyeon/Qwen_0.5-IRPO_5e-7-3ep_1alp_0lam/9da4a976-09a2-4f1c-a15e-d498a2adfdd4.json
deleted file mode 100644
index 5d2aea629..000000000
--- a/data/hfopenllm_v2/alibaba/JayHyeon/Qwen_0.5-IRPO_5e-7-3ep_1alp_0lam/9da4a976-09a2-4f1c-a15e-d498a2adfdd4.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/JayHyeon/Qwen_0.5-MDPO_0.1_3e-6-3ep_0alp_0lam/c3a945da-be07-4132-b558-f20202530b4d.json b/data/hfopenllm_v2/alibaba/JayHyeon/Qwen_0.5-MDPO_0.1_3e-6-3ep_0alp_0lam/c3a945da-be07-4132-b558-f20202530b4d.json
deleted file mode 100644
index e8e1f51c0..000000000
--- a/data/hfopenllm_v2/alibaba/JayHyeon/Qwen_0.5-MDPO_0.1_3e-6-3ep_0alp_0lam/c3a945da-be07-4132-b558-f20202530b4d.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/JayHyeon/Qwen_0.5-MDPO_0.1_5e-7-3ep_0alp_0lam/723afa16-d986-421c-a6ec-d1b00cb9d765.json b/data/hfopenllm_v2/alibaba/JayHyeon/Qwen_0.5-MDPO_0.1_5e-7-3ep_0alp_0lam/723afa16-d986-421c-a6ec-d1b00cb9d765.json
deleted file mode 100644
index 78e654eae..000000000
--- a/data/hfopenllm_v2/alibaba/JayHyeon/Qwen_0.5-MDPO_0.1_5e-7-3ep_0alp_0lam/723afa16-d986-421c-a6ec-d1b00cb9d765.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/JayHyeon/Qwen_0.5-MDPO_0.3_3e-6-3ep_0alp_0lam/03e5cd5c-adc0-49d8-9e51-3e315d0bffd6.json b/data/hfopenllm_v2/alibaba/JayHyeon/Qwen_0.5-MDPO_0.3_3e-6-3ep_0alp_0lam/03e5cd5c-adc0-49d8-9e51-3e315d0bffd6.json
deleted file mode 100644
index ebac49c54..000000000
--- a/data/hfopenllm_v2/alibaba/JayHyeon/Qwen_0.5-MDPO_0.3_3e-6-3ep_0alp_0lam/03e5cd5c-adc0-49d8-9e51-3e315d0bffd6.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/JayHyeon/Qwen_0.5-MDPO_0.3_5e-7-3ep_0alp_0lam/6992c085-939e-48b0-8c8f-53d6ca9737de.json b/data/hfopenllm_v2/alibaba/JayHyeon/Qwen_0.5-MDPO_0.3_5e-7-3ep_0alp_0lam/6992c085-939e-48b0-8c8f-53d6ca9737de.json
deleted file mode 100644
index b5bfb9e93..000000000
--- a/data/hfopenllm_v2/alibaba/JayHyeon/Qwen_0.5-MDPO_0.3_5e-7-3ep_0alp_0lam/6992c085-939e-48b0-8c8f-53d6ca9737de.json
+++ /dev/null
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diff --git a/data/hfopenllm_v2/alibaba/JayHyeon/Qwen_0.5-MDPO_0.5_1e-5-3ep_0alp_0lam/59e7ed2b-8385-4c83-b357-6dfa52e429cc.json b/data/hfopenllm_v2/alibaba/JayHyeon/Qwen_0.5-MDPO_0.5_1e-5-3ep_0alp_0lam/59e7ed2b-8385-4c83-b357-6dfa52e429cc.json
deleted file mode 100644
index 25f3e5020..000000000
--- a/data/hfopenllm_v2/alibaba/JayHyeon/Qwen_0.5-MDPO_0.5_1e-5-3ep_0alp_0lam/59e7ed2b-8385-4c83-b357-6dfa52e429cc.json
+++ /dev/null
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diff --git a/data/hfopenllm_v2/alibaba/JayHyeon/Qwen_0.5-MDPO_0.5_3e-7-1ep_0alp_0lam/495ed31f-9cbc-4f6f-b4be-2b9ee8f5011c.json b/data/hfopenllm_v2/alibaba/JayHyeon/Qwen_0.5-MDPO_0.5_3e-7-1ep_0alp_0lam/495ed31f-9cbc-4f6f-b4be-2b9ee8f5011c.json
deleted file mode 100644
index 042f3a5e6..000000000
--- a/data/hfopenllm_v2/alibaba/JayHyeon/Qwen_0.5-MDPO_0.5_3e-7-1ep_0alp_0lam/495ed31f-9cbc-4f6f-b4be-2b9ee8f5011c.json
+++ /dev/null
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diff --git a/data/hfopenllm_v2/alibaba/JayHyeon/Qwen_0.5-MDPO_0.5_3e-7-2ep_0alp_0lam/6c5809dc-67b3-4567-8d1f-4a8104a11507.json b/data/hfopenllm_v2/alibaba/JayHyeon/Qwen_0.5-MDPO_0.5_3e-7-2ep_0alp_0lam/6c5809dc-67b3-4567-8d1f-4a8104a11507.json
deleted file mode 100644
index 576729981..000000000
--- a/data/hfopenllm_v2/alibaba/JayHyeon/Qwen_0.5-MDPO_0.5_3e-7-2ep_0alp_0lam/6c5809dc-67b3-4567-8d1f-4a8104a11507.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/alibaba/JayHyeon/Qwen_0.5-MDPO_0.5_3e-7-3ep_0alp_0lam/44c78761-2672-49c4-85f4-9b0d575dd914.json b/data/hfopenllm_v2/alibaba/JayHyeon/Qwen_0.5-MDPO_0.5_3e-7-3ep_0alp_0lam/44c78761-2672-49c4-85f4-9b0d575dd914.json
deleted file mode 100644
index b52b60835..000000000
--- a/data/hfopenllm_v2/alibaba/JayHyeon/Qwen_0.5-MDPO_0.5_3e-7-3ep_0alp_0lam/44c78761-2672-49c4-85f4-9b0d575dd914.json
+++ /dev/null
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diff --git a/data/hfopenllm_v2/alibaba/JayHyeon/Qwen_0.5-MDPO_0.5_4e-6-3ep_0alp_0lam/b33d4765-4633-4c2b-a118-1ed82b0c842b.json b/data/hfopenllm_v2/alibaba/JayHyeon/Qwen_0.5-MDPO_0.5_4e-6-3ep_0alp_0lam/b33d4765-4633-4c2b-a118-1ed82b0c842b.json
deleted file mode 100644
index 6d312b43f..000000000
--- a/data/hfopenllm_v2/alibaba/JayHyeon/Qwen_0.5-MDPO_0.5_4e-6-3ep_0alp_0lam/b33d4765-4633-4c2b-a118-1ed82b0c842b.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/JayHyeon/Qwen_0.5-MDPO_0.5_6e-6-3ep_0alp_0lam/8d200434-ef84-403e-9fb6-86c15c4ccfed.json b/data/hfopenllm_v2/alibaba/JayHyeon/Qwen_0.5-MDPO_0.5_6e-6-3ep_0alp_0lam/8d200434-ef84-403e-9fb6-86c15c4ccfed.json
deleted file mode 100644
index 85b7c1d83..000000000
--- a/data/hfopenllm_v2/alibaba/JayHyeon/Qwen_0.5-MDPO_0.5_6e-6-3ep_0alp_0lam/8d200434-ef84-403e-9fb6-86c15c4ccfed.json
+++ /dev/null
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diff --git a/data/hfopenllm_v2/alibaba/JayHyeon/Qwen_0.5-MDPO_0.5_7e-6-3ep_0alp_0lam/3a666f3f-f2ea-4fed-b2fe-750b759eae7a.json b/data/hfopenllm_v2/alibaba/JayHyeon/Qwen_0.5-MDPO_0.5_7e-6-3ep_0alp_0lam/3a666f3f-f2ea-4fed-b2fe-750b759eae7a.json
deleted file mode 100644
index 14cc0e915..000000000
--- a/data/hfopenllm_v2/alibaba/JayHyeon/Qwen_0.5-MDPO_0.5_7e-6-3ep_0alp_0lam/3a666f3f-f2ea-4fed-b2fe-750b759eae7a.json
+++ /dev/null
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diff --git a/data/hfopenllm_v2/alibaba/JayHyeon/Qwen_0.5-MDPO_0.5_7e-7-3ep_0alp_0lam/7fbad2de-a9da-4962-ae18-47298811ba5b.json b/data/hfopenllm_v2/alibaba/JayHyeon/Qwen_0.5-MDPO_0.5_7e-7-3ep_0alp_0lam/7fbad2de-a9da-4962-ae18-47298811ba5b.json
deleted file mode 100644
index f29623d7d..000000000
--- a/data/hfopenllm_v2/alibaba/JayHyeon/Qwen_0.5-MDPO_0.5_7e-7-3ep_0alp_0lam/7fbad2de-a9da-4962-ae18-47298811ba5b.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/JayHyeon/Qwen_0.5-MDPO_0.7_3e-6-3ep_0alp_0lam/1fad00cf-e472-42dc-8b87-a0501cb051ab.json b/data/hfopenllm_v2/alibaba/JayHyeon/Qwen_0.5-MDPO_0.7_3e-6-3ep_0alp_0lam/1fad00cf-e472-42dc-8b87-a0501cb051ab.json
deleted file mode 100644
index 2fb905204..000000000
--- a/data/hfopenllm_v2/alibaba/JayHyeon/Qwen_0.5-MDPO_0.7_3e-6-3ep_0alp_0lam/1fad00cf-e472-42dc-8b87-a0501cb051ab.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/alibaba/JayHyeon/Qwen_0.5-MDPO_0.7_5e-7-3ep_0alp_0lam/c68fad94-ce6a-4053-b991-2c1e660fe7d9.json b/data/hfopenllm_v2/alibaba/JayHyeon/Qwen_0.5-MDPO_0.7_5e-7-3ep_0alp_0lam/c68fad94-ce6a-4053-b991-2c1e660fe7d9.json
deleted file mode 100644
index 0f4776134..000000000
--- a/data/hfopenllm_v2/alibaba/JayHyeon/Qwen_0.5-MDPO_0.7_5e-7-3ep_0alp_0lam/c68fad94-ce6a-4053-b991-2c1e660fe7d9.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/JayHyeon/Qwen_0.5-MDPO_0.9_5e-7-3ep_0alp_0lam/a6a3ee79-a93b-4220-ac09-1c5d2f70cdf8.json b/data/hfopenllm_v2/alibaba/JayHyeon/Qwen_0.5-MDPO_0.9_5e-7-3ep_0alp_0lam/a6a3ee79-a93b-4220-ac09-1c5d2f70cdf8.json
deleted file mode 100644
index 66bbc80db..000000000
--- a/data/hfopenllm_v2/alibaba/JayHyeon/Qwen_0.5-MDPO_0.9_5e-7-3ep_0alp_0lam/a6a3ee79-a93b-4220-ac09-1c5d2f70cdf8.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/JayHyeon/Qwen_0.5-VDPO_3e-6-1ep_3vpo_const/e3471a51-fad2-44cf-bd0c-ad1250d22f83.json b/data/hfopenllm_v2/alibaba/JayHyeon/Qwen_0.5-VDPO_3e-6-1ep_3vpo_const/e3471a51-fad2-44cf-bd0c-ad1250d22f83.json
deleted file mode 100644
index d25bd46b2..000000000
--- a/data/hfopenllm_v2/alibaba/JayHyeon/Qwen_0.5-VDPO_3e-6-1ep_3vpo_const/e3471a51-fad2-44cf-bd0c-ad1250d22f83.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/JayHyeon/Qwen_0.5-VDPO_5e-7-1ep_0alp_0lam/5a3a76e9-f93d-435c-898c-b76bc5dc0cda.json b/data/hfopenllm_v2/alibaba/JayHyeon/Qwen_0.5-VDPO_5e-7-1ep_0alp_0lam/5a3a76e9-f93d-435c-898c-b76bc5dc0cda.json
deleted file mode 100644
index 492e85d76..000000000
--- a/data/hfopenllm_v2/alibaba/JayHyeon/Qwen_0.5-VDPO_5e-7-1ep_0alp_0lam/5a3a76e9-f93d-435c-898c-b76bc5dc0cda.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/JayHyeon/Qwen_0.5-VDPO_5e-7-1ep_10vpo_const/fc83f198-e606-4c3d-aede-cb646b080b3b.json b/data/hfopenllm_v2/alibaba/JayHyeon/Qwen_0.5-VDPO_5e-7-1ep_10vpo_const/fc83f198-e606-4c3d-aede-cb646b080b3b.json
deleted file mode 100644
index 7f37da2dc..000000000
--- a/data/hfopenllm_v2/alibaba/JayHyeon/Qwen_0.5-VDPO_5e-7-1ep_10vpo_const/fc83f198-e606-4c3d-aede-cb646b080b3b.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/JayHyeon/Qwen_0.5-VDPO_5e-7-1ep_1vpo_const/e0452e02-8cf3-4da6-83f6-844f1de6fac2.json b/data/hfopenllm_v2/alibaba/JayHyeon/Qwen_0.5-VDPO_5e-7-1ep_1vpo_const/e0452e02-8cf3-4da6-83f6-844f1de6fac2.json
deleted file mode 100644
index ba04d6dc2..000000000
--- a/data/hfopenllm_v2/alibaba/JayHyeon/Qwen_0.5-VDPO_5e-7-1ep_1vpo_const/e0452e02-8cf3-4da6-83f6-844f1de6fac2.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/JayHyeon/Qwen_0.5-VDPO_5e-7-1ep_3vpo_const/0792bedd-3891-4622-983b-886c126ace68.json b/data/hfopenllm_v2/alibaba/JayHyeon/Qwen_0.5-VDPO_5e-7-1ep_3vpo_const/0792bedd-3891-4622-983b-886c126ace68.json
deleted file mode 100644
index c87a057c8..000000000
--- a/data/hfopenllm_v2/alibaba/JayHyeon/Qwen_0.5-VDPO_5e-7-1ep_3vpo_const/0792bedd-3891-4622-983b-886c126ace68.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/JayHyeon/Qwen_0.5-VDPO_5e-7-3ep_0alp_0lam/31e52020-32b2-4271-89b5-31dfde730404.json b/data/hfopenllm_v2/alibaba/JayHyeon/Qwen_0.5-VDPO_5e-7-3ep_0alp_0lam/31e52020-32b2-4271-89b5-31dfde730404.json
deleted file mode 100644
index 0afee0fdd..000000000
--- a/data/hfopenllm_v2/alibaba/JayHyeon/Qwen_0.5-VDPO_5e-7-3ep_0alp_0lam/31e52020-32b2-4271-89b5-31dfde730404.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/JayHyeon/Qwen_0.5-VDPO_5e-7-3ep_1vpo_const/06074d49-defe-4303-9899-18f074a06935.json b/data/hfopenllm_v2/alibaba/JayHyeon/Qwen_0.5-VDPO_5e-7-3ep_1vpo_const/06074d49-defe-4303-9899-18f074a06935.json
deleted file mode 100644
index db89bcc08..000000000
--- a/data/hfopenllm_v2/alibaba/JayHyeon/Qwen_0.5-VDPO_5e-7-3ep_1vpo_const/06074d49-defe-4303-9899-18f074a06935.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/JayHyeon/Qwen_0.5-VDPO_5e-7-3ep_3vpo_const/1ef0a501-863d-49dc-9bda-5151fb161b41.json b/data/hfopenllm_v2/alibaba/JayHyeon/Qwen_0.5-VDPO_5e-7-3ep_3vpo_const/1ef0a501-863d-49dc-9bda-5151fb161b41.json
deleted file mode 100644
index 23f31df69..000000000
--- a/data/hfopenllm_v2/alibaba/JayHyeon/Qwen_0.5-VDPO_5e-7-3ep_3vpo_const/1ef0a501-863d-49dc-9bda-5151fb161b41.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/JayHyeon/Qwen_0.5-VIPO_5e-7-1ep_0alp_0lam/15177605-2eea-4d8a-8462-7b64f7d29071.json b/data/hfopenllm_v2/alibaba/JayHyeon/Qwen_0.5-VIPO_5e-7-1ep_0alp_0lam/15177605-2eea-4d8a-8462-7b64f7d29071.json
deleted file mode 100644
index eda3831df..000000000
--- a/data/hfopenllm_v2/alibaba/JayHyeon/Qwen_0.5-VIPO_5e-7-1ep_0alp_0lam/15177605-2eea-4d8a-8462-7b64f7d29071.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/JayHyeon/Qwen_0.5-VIPO_5e-7-1ep_10vpo_const/09996570-4086-46c5-900e-887c3d5d5826.json b/data/hfopenllm_v2/alibaba/JayHyeon/Qwen_0.5-VIPO_5e-7-1ep_10vpo_const/09996570-4086-46c5-900e-887c3d5d5826.json
deleted file mode 100644
index 7b0ecc39d..000000000
--- a/data/hfopenllm_v2/alibaba/JayHyeon/Qwen_0.5-VIPO_5e-7-1ep_10vpo_const/09996570-4086-46c5-900e-887c3d5d5826.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-    "name": "JayHyeon/Qwen_0.5-VIPO_5e-7-1ep_10vpo_const",
-    "developer": "alibaba",
-    "inference_platform": "unknown",
-    "id": "JayHyeon/Qwen_0.5-VIPO_5e-7-1ep_10vpo_const",
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diff --git a/data/hfopenllm_v2/alibaba/JayHyeon/Qwen_0.5-VIPO_5e-7-1ep_1vpo_const/8a24b990-24f1-46f6-a4f9-4ecaa39b4ec7.json b/data/hfopenllm_v2/alibaba/JayHyeon/Qwen_0.5-VIPO_5e-7-1ep_1vpo_const/8a24b990-24f1-46f6-a4f9-4ecaa39b4ec7.json
deleted file mode 100644
index f89b91b3d..000000000
--- a/data/hfopenllm_v2/alibaba/JayHyeon/Qwen_0.5-VIPO_5e-7-1ep_1vpo_const/8a24b990-24f1-46f6-a4f9-4ecaa39b4ec7.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-    "source_name": "HF Open LLM v2",
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-    "developer": "alibaba",
-    "inference_platform": "unknown",
-    "id": "JayHyeon/Qwen_0.5-VIPO_5e-7-1ep_1vpo_const",
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diff --git a/data/hfopenllm_v2/alibaba/JayHyeon/Qwen_0.5-VIPO_5e-7-1ep_30vpo_const/ac310031-4080-4124-a858-e1293532b222.json b/data/hfopenllm_v2/alibaba/JayHyeon/Qwen_0.5-VIPO_5e-7-1ep_30vpo_const/ac310031-4080-4124-a858-e1293532b222.json
deleted file mode 100644
index 35a4d8065..000000000
--- a/data/hfopenllm_v2/alibaba/JayHyeon/Qwen_0.5-VIPO_5e-7-1ep_30vpo_const/ac310031-4080-4124-a858-e1293532b222.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-    "developer": "alibaba",
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-    "id": "JayHyeon/Qwen_0.5-VIPO_5e-7-1ep_30vpo_const",
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diff --git a/data/hfopenllm_v2/alibaba/JayHyeon/Qwen_0.5-VIPO_5e-7-1ep_3vpo_const/75a8a0dd-e64d-4462-b8be-8006f6710653.json b/data/hfopenllm_v2/alibaba/JayHyeon/Qwen_0.5-VIPO_5e-7-1ep_3vpo_const/75a8a0dd-e64d-4462-b8be-8006f6710653.json
deleted file mode 100644
index 7668b8099..000000000
--- a/data/hfopenllm_v2/alibaba/JayHyeon/Qwen_0.5-VIPO_5e-7-1ep_3vpo_const/75a8a0dd-e64d-4462-b8be-8006f6710653.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/JayHyeon/Qwen_0.5-VIPO_5e-7-3ep_0alp_0lam/8469a871-39e1-4b21-bb7c-fa21026a01ba.json b/data/hfopenllm_v2/alibaba/JayHyeon/Qwen_0.5-VIPO_5e-7-3ep_0alp_0lam/8469a871-39e1-4b21-bb7c-fa21026a01ba.json
deleted file mode 100644
index 293555691..000000000
--- a/data/hfopenllm_v2/alibaba/JayHyeon/Qwen_0.5-VIPO_5e-7-3ep_0alp_0lam/8469a871-39e1-4b21-bb7c-fa21026a01ba.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/JayHyeon/Qwen_0.5-VIPO_5e-7-3ep_10vpo_const/046380aa-08bf-4d95-a4cc-bbfaf30eb56b.json b/data/hfopenllm_v2/alibaba/JayHyeon/Qwen_0.5-VIPO_5e-7-3ep_10vpo_const/046380aa-08bf-4d95-a4cc-bbfaf30eb56b.json
deleted file mode 100644
index a9bf04467..000000000
--- a/data/hfopenllm_v2/alibaba/JayHyeon/Qwen_0.5-VIPO_5e-7-3ep_10vpo_const/046380aa-08bf-4d95-a4cc-bbfaf30eb56b.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/JayHyeon/Qwen_0.5-VIPO_5e-7-3ep_1vpo_const/fa8ee240-a7ac-4edc-9ac7-beabf38af0fa.json b/data/hfopenllm_v2/alibaba/JayHyeon/Qwen_0.5-VIPO_5e-7-3ep_1vpo_const/fa8ee240-a7ac-4edc-9ac7-beabf38af0fa.json
deleted file mode 100644
index a67ceabc5..000000000
--- a/data/hfopenllm_v2/alibaba/JayHyeon/Qwen_0.5-VIPO_5e-7-3ep_1vpo_const/fa8ee240-a7ac-4edc-9ac7-beabf38af0fa.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/JayHyeon/Qwen_0.5-VIPO_5e-7-3ep_30vpo_const/6d30ee72-d0ea-496d-8375-892968c8602e.json b/data/hfopenllm_v2/alibaba/JayHyeon/Qwen_0.5-VIPO_5e-7-3ep_30vpo_const/6d30ee72-d0ea-496d-8375-892968c8602e.json
deleted file mode 100644
index 1fa327b1d..000000000
--- a/data/hfopenllm_v2/alibaba/JayHyeon/Qwen_0.5-VIPO_5e-7-3ep_30vpo_const/6d30ee72-d0ea-496d-8375-892968c8602e.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-    "id": "JayHyeon/Qwen_0.5-VIPO_5e-7-3ep_30vpo_const",
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diff --git a/data/hfopenllm_v2/alibaba/JayHyeon/Qwen_0.5-VIPO_5e-7-3ep_3vpo_const/903b0e99-e50a-4afa-8085-1fd01872c048.json b/data/hfopenllm_v2/alibaba/JayHyeon/Qwen_0.5-VIPO_5e-7-3ep_3vpo_const/903b0e99-e50a-4afa-8085-1fd01872c048.json
deleted file mode 100644
index e7e3e40b0..000000000
--- a/data/hfopenllm_v2/alibaba/JayHyeon/Qwen_0.5-VIPO_5e-7-3ep_3vpo_const/903b0e99-e50a-4afa-8085-1fd01872c048.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/JayHyeon/Qwen_0.5-cDPO_5e-7-3ep_0vpo_const_0.1/225277d4-e1b9-4992-8e2d-678ac6157b06.json b/data/hfopenllm_v2/alibaba/JayHyeon/Qwen_0.5-cDPO_5e-7-3ep_0vpo_const_0.1/225277d4-e1b9-4992-8e2d-678ac6157b06.json
deleted file mode 100644
index 2b0ab710d..000000000
--- a/data/hfopenllm_v2/alibaba/JayHyeon/Qwen_0.5-cDPO_5e-7-3ep_0vpo_const_0.1/225277d4-e1b9-4992-8e2d-678ac6157b06.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/JayHyeon/Qwen_0.5-cDPO_5e-7-3ep_0vpo_const_0.3/4991436d-59fd-4f66-b588-9103beeeba5f.json b/data/hfopenllm_v2/alibaba/JayHyeon/Qwen_0.5-cDPO_5e-7-3ep_0vpo_const_0.3/4991436d-59fd-4f66-b588-9103beeeba5f.json
deleted file mode 100644
index 49cd89594..000000000
--- a/data/hfopenllm_v2/alibaba/JayHyeon/Qwen_0.5-cDPO_5e-7-3ep_0vpo_const_0.3/4991436d-59fd-4f66-b588-9103beeeba5f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/JayHyeon/Qwen_0.5-rDPO_3e-6-1ep_0vpo_const_0.1/6118242a-de0a-4734-979d-86f2cc6fc65c.json b/data/hfopenllm_v2/alibaba/JayHyeon/Qwen_0.5-rDPO_3e-6-1ep_0vpo_const_0.1/6118242a-de0a-4734-979d-86f2cc6fc65c.json
deleted file mode 100644
index 1d77d57b9..000000000
--- a/data/hfopenllm_v2/alibaba/JayHyeon/Qwen_0.5-rDPO_3e-6-1ep_0vpo_const_0.1/6118242a-de0a-4734-979d-86f2cc6fc65c.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-    "developer": "alibaba",
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-    "id": "JayHyeon/Qwen_0.5-rDPO_3e-6-1ep_0vpo_const_0.1",
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diff --git a/data/hfopenllm_v2/alibaba/JayHyeon/Qwen_0.5-rDPO_5e-7-3ep_0vpo_const_0.1/a6b71abf-7ee1-438b-8218-98803bca8de8.json b/data/hfopenllm_v2/alibaba/JayHyeon/Qwen_0.5-rDPO_5e-7-3ep_0vpo_const_0.1/a6b71abf-7ee1-438b-8218-98803bca8de8.json
deleted file mode 100644
index b12f06607..000000000
--- a/data/hfopenllm_v2/alibaba/JayHyeon/Qwen_0.5-rDPO_5e-7-3ep_0vpo_const_0.1/a6b71abf-7ee1-438b-8218-98803bca8de8.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-    "id": "JayHyeon/Qwen_0.5-rDPO_5e-7-3ep_0vpo_const_0.1",
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diff --git a/data/hfopenllm_v2/alibaba/JayHyeon/Qwen_0.5-rDPO_5e-7-3ep_0vpo_const_0.3/f7fb8d6b-9773-42e7-a426-a35a401f689a.json b/data/hfopenllm_v2/alibaba/JayHyeon/Qwen_0.5-rDPO_5e-7-3ep_0vpo_const_0.3/f7fb8d6b-9773-42e7-a426-a35a401f689a.json
deleted file mode 100644
index 703ad92b5..000000000
--- a/data/hfopenllm_v2/alibaba/JayHyeon/Qwen_0.5-rDPO_5e-7-3ep_0vpo_const_0.3/f7fb8d6b-9773-42e7-a426-a35a401f689a.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/JungZoona/T3Q-qwen2.5-14b-v1.0-e3/eb7694ce-6fe4-4bb0-bcab-266ccc71f78a.json b/data/hfopenllm_v2/alibaba/JungZoona/T3Q-qwen2.5-14b-v1.0-e3/eb7694ce-6fe4-4bb0-bcab-266ccc71f78a.json
deleted file mode 100644
index 921b09306..000000000
--- a/data/hfopenllm_v2/alibaba/JungZoona/T3Q-qwen2.5-14b-v1.0-e3/eb7694ce-6fe4-4bb0-bcab-266ccc71f78a.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/Junhoee/Qwen-Megumin/0f231e27-deec-4b10-a995-d493ecf8400f.json b/data/hfopenllm_v2/alibaba/Junhoee/Qwen-Megumin/0f231e27-deec-4b10-a995-d493ecf8400f.json
deleted file mode 100644
index 36e6bd8f3..000000000
--- a/data/hfopenllm_v2/alibaba/Junhoee/Qwen-Megumin/0f231e27-deec-4b10-a995-d493ecf8400f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-    "id": "Junhoee/Qwen-Megumin",
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diff --git a/data/hfopenllm_v2/alibaba/KingNish/Qwen2.5-0.5b-Test-ft/5a28540f-3a94-478c-84c0-5be8db86328a.json b/data/hfopenllm_v2/alibaba/KingNish/Qwen2.5-0.5b-Test-ft/5a28540f-3a94-478c-84c0-5be8db86328a.json
deleted file mode 100644
index 8e5c48a34..000000000
--- a/data/hfopenllm_v2/alibaba/KingNish/Qwen2.5-0.5b-Test-ft/5a28540f-3a94-478c-84c0-5be8db86328a.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/KingNish/qwen-1b-continued-v2.1/f12c6b15-107a-41ed-98fa-40b0af5be42e.json b/data/hfopenllm_v2/alibaba/KingNish/qwen-1b-continued-v2.1/f12c6b15-107a-41ed-98fa-40b0af5be42e.json
deleted file mode 100644
index 7bd912c3c..000000000
--- a/data/hfopenllm_v2/alibaba/KingNish/qwen-1b-continued-v2.1/f12c6b15-107a-41ed-98fa-40b0af5be42e.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/KingNish/qwen-1b-continued-v2.2/cf6aeb1a-4814-41ad-96f5-b59caafb902f.json b/data/hfopenllm_v2/alibaba/KingNish/qwen-1b-continued-v2.2/cf6aeb1a-4814-41ad-96f5-b59caafb902f.json
deleted file mode 100644
index 889f5238f..000000000
--- a/data/hfopenllm_v2/alibaba/KingNish/qwen-1b-continued-v2.2/cf6aeb1a-4814-41ad-96f5-b59caafb902f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/KingNish/qwen-1b-continued-v2/479d9f2a-82f6-42de-b8d6-92405f60638c.json b/data/hfopenllm_v2/alibaba/KingNish/qwen-1b-continued-v2/479d9f2a-82f6-42de-b8d6-92405f60638c.json
deleted file mode 100644
index 1eea19633..000000000
--- a/data/hfopenllm_v2/alibaba/KingNish/qwen-1b-continued-v2/479d9f2a-82f6-42de-b8d6-92405f60638c.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/KingNish/qwen-1b-continued/a4063b77-fc24-4c9d-bf08-cb28fc6e8259.json b/data/hfopenllm_v2/alibaba/KingNish/qwen-1b-continued/a4063b77-fc24-4c9d-bf08-cb28fc6e8259.json
deleted file mode 100644
index 8dfeb8dd4..000000000
--- a/data/hfopenllm_v2/alibaba/KingNish/qwen-1b-continued/a4063b77-fc24-4c9d-bf08-cb28fc6e8259.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/Kukedlc/Qwen-2.5-7b-Spanish-o1-CoT/c9a159fb-9e6b-49b3-8f2b-a2d2d3ca8f19.json b/data/hfopenllm_v2/alibaba/Kukedlc/Qwen-2.5-7b-Spanish-o1-CoT/c9a159fb-9e6b-49b3-8f2b-a2d2d3ca8f19.json
deleted file mode 100644
index 1cb4d254c..000000000
--- a/data/hfopenllm_v2/alibaba/Kukedlc/Qwen-2.5-7b-Spanish-o1-CoT/c9a159fb-9e6b-49b3-8f2b-a2d2d3ca8f19.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/Lambent/qwen2.5-reinstruct-alternate-lumen-14B/974e902e-0959-42d0-98f8-288e1a6ce887.json b/data/hfopenllm_v2/alibaba/Lambent/qwen2.5-reinstruct-alternate-lumen-14B/974e902e-0959-42d0-98f8-288e1a6ce887.json
deleted file mode 100644
index fc7f387e6..000000000
--- a/data/hfopenllm_v2/alibaba/Lambent/qwen2.5-reinstruct-alternate-lumen-14B/974e902e-0959-42d0-98f8-288e1a6ce887.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/LenguajeNaturalAI/leniachat-qwen2-1.5B-v0/eb6e6d30-b349-447c-83d3-fe7760e83037.json b/data/hfopenllm_v2/alibaba/LenguajeNaturalAI/leniachat-qwen2-1.5B-v0/eb6e6d30-b349-447c-83d3-fe7760e83037.json
deleted file mode 100644
index 6e2045ff0..000000000
--- a/data/hfopenllm_v2/alibaba/LenguajeNaturalAI/leniachat-qwen2-1.5B-v0/eb6e6d30-b349-447c-83d3-fe7760e83037.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/alibaba/Lunzima/NQLSG-Qwen2.5-14B-MegaFusion-v3/eb958d5c-aa2e-4640-bef7-c8b10a892847.json b/data/hfopenllm_v2/alibaba/Lunzima/NQLSG-Qwen2.5-14B-MegaFusion-v3/eb958d5c-aa2e-4640-bef7-c8b10a892847.json
deleted file mode 100644
index 309314989..000000000
--- a/data/hfopenllm_v2/alibaba/Lunzima/NQLSG-Qwen2.5-14B-MegaFusion-v3/eb958d5c-aa2e-4640-bef7-c8b10a892847.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/Lunzima/NQLSG-Qwen2.5-14B-MegaFusion-v4/17c5c728-e03d-45e9-aaae-816c4e90b14f.json b/data/hfopenllm_v2/alibaba/Lunzima/NQLSG-Qwen2.5-14B-MegaFusion-v4/17c5c728-e03d-45e9-aaae-816c4e90b14f.json
deleted file mode 100644
index 6b26695a2..000000000
--- a/data/hfopenllm_v2/alibaba/Lunzima/NQLSG-Qwen2.5-14B-MegaFusion-v4/17c5c728-e03d-45e9-aaae-816c4e90b14f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/Lunzima/NQLSG-Qwen2.5-14B-MegaFusion-v5/79d3d942-8d5f-4aca-8759-8d70b8cfc5f3.json b/data/hfopenllm_v2/alibaba/Lunzima/NQLSG-Qwen2.5-14B-MegaFusion-v5/79d3d942-8d5f-4aca-8759-8d70b8cfc5f3.json
deleted file mode 100644
index 698686a72..000000000
--- a/data/hfopenllm_v2/alibaba/Lunzima/NQLSG-Qwen2.5-14B-MegaFusion-v5/79d3d942-8d5f-4aca-8759-8d70b8cfc5f3.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/Lunzima/NQLSG-Qwen2.5-14B-MegaFusion-v6-cpt/92bff089-baed-4f1f-852b-f274a7920a1a.json b/data/hfopenllm_v2/alibaba/Lunzima/NQLSG-Qwen2.5-14B-MegaFusion-v6-cpt/92bff089-baed-4f1f-852b-f274a7920a1a.json
deleted file mode 100644
index cd408f90f..000000000
--- a/data/hfopenllm_v2/alibaba/Lunzima/NQLSG-Qwen2.5-14B-MegaFusion-v6-cpt/92bff089-baed-4f1f-852b-f274a7920a1a.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/alibaba/Lunzima/NQLSG-Qwen2.5-14B-MegaFusion-v6/c4b27a1b-28dd-4a79-839c-ad8673034937.json b/data/hfopenllm_v2/alibaba/Lunzima/NQLSG-Qwen2.5-14B-MegaFusion-v6/c4b27a1b-28dd-4a79-839c-ad8673034937.json
deleted file mode 100644
index 3a5e522e9..000000000
--- a/data/hfopenllm_v2/alibaba/Lunzima/NQLSG-Qwen2.5-14B-MegaFusion-v6/c4b27a1b-28dd-4a79-839c-ad8673034937.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/Lunzima/NQLSG-Qwen2.5-14B-MegaFusion-v7-rebase/46a21741-1860-4498-8284-c94fccad1ed0.json b/data/hfopenllm_v2/alibaba/Lunzima/NQLSG-Qwen2.5-14B-MegaFusion-v7-rebase/46a21741-1860-4498-8284-c94fccad1ed0.json
deleted file mode 100644
index 860d0c1c5..000000000
--- a/data/hfopenllm_v2/alibaba/Lunzima/NQLSG-Qwen2.5-14B-MegaFusion-v7-rebase/46a21741-1860-4498-8284-c94fccad1ed0.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/Lunzima/NQLSG-Qwen2.5-14B-MegaFusion-v7/d540acde-9601-4119-8ae2-f7cdf82f43f7.json b/data/hfopenllm_v2/alibaba/Lunzima/NQLSG-Qwen2.5-14B-MegaFusion-v7/d540acde-9601-4119-8ae2-f7cdf82f43f7.json
deleted file mode 100644
index f0243b775..000000000
--- a/data/hfopenllm_v2/alibaba/Lunzima/NQLSG-Qwen2.5-14B-MegaFusion-v7/d540acde-9601-4119-8ae2-f7cdf82f43f7.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/Lunzima/NQLSG-Qwen2.5-14B-MegaFusion-v8.5/c723fc6f-2656-4084-81d0-4cbaf0587049.json b/data/hfopenllm_v2/alibaba/Lunzima/NQLSG-Qwen2.5-14B-MegaFusion-v8.5/c723fc6f-2656-4084-81d0-4cbaf0587049.json
deleted file mode 100644
index d67d73793..000000000
--- a/data/hfopenllm_v2/alibaba/Lunzima/NQLSG-Qwen2.5-14B-MegaFusion-v8.5/c723fc6f-2656-4084-81d0-4cbaf0587049.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/Lunzima/NQLSG-Qwen2.5-14B-MegaFusion-v8.6/526f6468-b7a8-47a7-9ed4-c2aa7cc63ca1.json b/data/hfopenllm_v2/alibaba/Lunzima/NQLSG-Qwen2.5-14B-MegaFusion-v8.6/526f6468-b7a8-47a7-9ed4-c2aa7cc63ca1.json
deleted file mode 100644
index 0096e15bb..000000000
--- a/data/hfopenllm_v2/alibaba/Lunzima/NQLSG-Qwen2.5-14B-MegaFusion-v8.6/526f6468-b7a8-47a7-9ed4-c2aa7cc63ca1.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/Lunzima/NQLSG-Qwen2.5-14B-MegaFusion-v8.7/56232cf6-7ee7-45ed-b139-ea20e148b5fa.json b/data/hfopenllm_v2/alibaba/Lunzima/NQLSG-Qwen2.5-14B-MegaFusion-v8.7/56232cf6-7ee7-45ed-b139-ea20e148b5fa.json
deleted file mode 100644
index 9459fd127..000000000
--- a/data/hfopenllm_v2/alibaba/Lunzima/NQLSG-Qwen2.5-14B-MegaFusion-v8.7/56232cf6-7ee7-45ed-b139-ea20e148b5fa.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/Lunzima/NQLSG-Qwen2.5-14B-MegaFusion-v8.8/51ff4f00-1d21-4f98-b5a3-7a72c4b2a5b1.json b/data/hfopenllm_v2/alibaba/Lunzima/NQLSG-Qwen2.5-14B-MegaFusion-v8.8/51ff4f00-1d21-4f98-b5a3-7a72c4b2a5b1.json
deleted file mode 100644
index 74ce22608..000000000
--- a/data/hfopenllm_v2/alibaba/Lunzima/NQLSG-Qwen2.5-14B-MegaFusion-v8.8/51ff4f00-1d21-4f98-b5a3-7a72c4b2a5b1.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/Lunzima/NQLSG-Qwen2.5-14B-MegaFusion-v8.9/eee0ebda-6ff8-45bd-ac4e-15aeb724d0d1.json b/data/hfopenllm_v2/alibaba/Lunzima/NQLSG-Qwen2.5-14B-MegaFusion-v8.9/eee0ebda-6ff8-45bd-ac4e-15aeb724d0d1.json
deleted file mode 100644
index da720a04e..000000000
--- a/data/hfopenllm_v2/alibaba/Lunzima/NQLSG-Qwen2.5-14B-MegaFusion-v8.9/eee0ebda-6ff8-45bd-ac4e-15aeb724d0d1.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/Lunzima/NQLSG-Qwen2.5-14B-MegaFusion-v8/b3e7af18-231e-4839-809c-bc5bfe7b4182.json b/data/hfopenllm_v2/alibaba/Lunzima/NQLSG-Qwen2.5-14B-MegaFusion-v8/b3e7af18-231e-4839-809c-bc5bfe7b4182.json
deleted file mode 100644
index 665e47b1b..000000000
--- a/data/hfopenllm_v2/alibaba/Lunzima/NQLSG-Qwen2.5-14B-MegaFusion-v8/b3e7af18-231e-4839-809c-bc5bfe7b4182.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/Lunzima/NQLSG-Qwen2.5-14B-MegaFusion-v9-stock/757269fe-8662-4eaa-8e76-5c2f88d8fbb0.json b/data/hfopenllm_v2/alibaba/Lunzima/NQLSG-Qwen2.5-14B-MegaFusion-v9-stock/757269fe-8662-4eaa-8e76-5c2f88d8fbb0.json
deleted file mode 100644
index 1da4f0abe..000000000
--- a/data/hfopenllm_v2/alibaba/Lunzima/NQLSG-Qwen2.5-14B-MegaFusion-v9-stock/757269fe-8662-4eaa-8e76-5c2f88d8fbb0.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/Lunzima/NQLSG-Qwen2.5-14B-MegaFusion-v9.1/dffd1a4a-a056-43c2-bda3-0cfa21406656.json b/data/hfopenllm_v2/alibaba/Lunzima/NQLSG-Qwen2.5-14B-MegaFusion-v9.1/dffd1a4a-a056-43c2-bda3-0cfa21406656.json
deleted file mode 100644
index 985d59088..000000000
--- a/data/hfopenllm_v2/alibaba/Lunzima/NQLSG-Qwen2.5-14B-MegaFusion-v9.1/dffd1a4a-a056-43c2-bda3-0cfa21406656.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/Lunzima/NQLSG-Qwen2.5-14B-MegaFusion-v9.2/b5ecb480-16e6-4dfb-be77-ad8ef4e90aa3.json b/data/hfopenllm_v2/alibaba/Lunzima/NQLSG-Qwen2.5-14B-MegaFusion-v9.2/b5ecb480-16e6-4dfb-be77-ad8ef4e90aa3.json
deleted file mode 100644
index 03df1820a..000000000
--- a/data/hfopenllm_v2/alibaba/Lunzima/NQLSG-Qwen2.5-14B-MegaFusion-v9.2/b5ecb480-16e6-4dfb-be77-ad8ef4e90aa3.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/Lunzima/NQLSG-Qwen2.5-14B-MegaFusion-v9/682a38c6-2fb8-4c42-b6ad-69fbe65be484.json b/data/hfopenllm_v2/alibaba/Lunzima/NQLSG-Qwen2.5-14B-MegaFusion-v9/682a38c6-2fb8-4c42-b6ad-69fbe65be484.json
deleted file mode 100644
index 72889ec55..000000000
--- a/data/hfopenllm_v2/alibaba/Lunzima/NQLSG-Qwen2.5-14B-MegaFusion-v9/682a38c6-2fb8-4c42-b6ad-69fbe65be484.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/Lunzima/NQLSG-Qwen2.5-14B-OriginalFusion/cf14f098-cd46-4ca0-acec-02012eb78ea3.json b/data/hfopenllm_v2/alibaba/Lunzima/NQLSG-Qwen2.5-14B-OriginalFusion/cf14f098-cd46-4ca0-acec-02012eb78ea3.json
deleted file mode 100644
index db23d77fc..000000000
--- a/data/hfopenllm_v2/alibaba/Lunzima/NQLSG-Qwen2.5-14B-OriginalFusion/cf14f098-cd46-4ca0-acec-02012eb78ea3.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/Marsouuu/MiniQwenMathExpert-ECE-PRYMMAL-Martial/f1b6c510-02fe-4ffd-96da-4cfcfb04eb8c.json b/data/hfopenllm_v2/alibaba/Marsouuu/MiniQwenMathExpert-ECE-PRYMMAL-Martial/f1b6c510-02fe-4ffd-96da-4cfcfb04eb8c.json
deleted file mode 100644
index 1b661e71b..000000000
--- a/data/hfopenllm_v2/alibaba/Marsouuu/MiniQwenMathExpert-ECE-PRYMMAL-Martial/f1b6c510-02fe-4ffd-96da-4cfcfb04eb8c.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/MaziyarPanahi/Qwen1.5-MoE-A2.7B-Wikihow/ee23e137-57d2-49aa-b267-27bd48457d46.json b/data/hfopenllm_v2/alibaba/MaziyarPanahi/Qwen1.5-MoE-A2.7B-Wikihow/ee23e137-57d2-49aa-b267-27bd48457d46.json
deleted file mode 100644
index 42c9cc814..000000000
--- a/data/hfopenllm_v2/alibaba/MaziyarPanahi/Qwen1.5-MoE-A2.7B-Wikihow/ee23e137-57d2-49aa-b267-27bd48457d46.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/MaziyarPanahi/calme-2.1-qwen2-72b/ae68a60d-a2df-45f1-b446-1400901cb6ff.json b/data/hfopenllm_v2/alibaba/MaziyarPanahi/calme-2.1-qwen2-72b/ae68a60d-a2df-45f1-b446-1400901cb6ff.json
deleted file mode 100644
index dd8ae645b..000000000
--- a/data/hfopenllm_v2/alibaba/MaziyarPanahi/calme-2.1-qwen2-72b/ae68a60d-a2df-45f1-b446-1400901cb6ff.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/MaziyarPanahi/calme-2.1-qwen2-7b/6c31df3b-e408-4a6c-b475-78f174630cad.json b/data/hfopenllm_v2/alibaba/MaziyarPanahi/calme-2.1-qwen2-7b/6c31df3b-e408-4a6c-b475-78f174630cad.json
deleted file mode 100644
index b59d9ed18..000000000
--- a/data/hfopenllm_v2/alibaba/MaziyarPanahi/calme-2.1-qwen2-7b/6c31df3b-e408-4a6c-b475-78f174630cad.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/MaziyarPanahi/calme-2.1-qwen2.5-72b/2b841a46-6210-4092-875f-ca3ae36f3d25.json b/data/hfopenllm_v2/alibaba/MaziyarPanahi/calme-2.1-qwen2.5-72b/2b841a46-6210-4092-875f-ca3ae36f3d25.json
deleted file mode 100644
index 4b3d7188b..000000000
--- a/data/hfopenllm_v2/alibaba/MaziyarPanahi/calme-2.1-qwen2.5-72b/2b841a46-6210-4092-875f-ca3ae36f3d25.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/MaziyarPanahi/calme-2.2-qwen2-72b/250897a9-7d48-4323-813d-fa48befe2cbe.json b/data/hfopenllm_v2/alibaba/MaziyarPanahi/calme-2.2-qwen2-72b/250897a9-7d48-4323-813d-fa48befe2cbe.json
deleted file mode 100644
index 6cc1ea07b..000000000
--- a/data/hfopenllm_v2/alibaba/MaziyarPanahi/calme-2.2-qwen2-72b/250897a9-7d48-4323-813d-fa48befe2cbe.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/MaziyarPanahi/calme-2.2-qwen2-7b/154b7a41-e1bf-4827-a6a7-279ea170ab7e.json b/data/hfopenllm_v2/alibaba/MaziyarPanahi/calme-2.2-qwen2-7b/154b7a41-e1bf-4827-a6a7-279ea170ab7e.json
deleted file mode 100644
index ba7776e50..000000000
--- a/data/hfopenllm_v2/alibaba/MaziyarPanahi/calme-2.2-qwen2-7b/154b7a41-e1bf-4827-a6a7-279ea170ab7e.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/MaziyarPanahi/calme-2.2-qwen2.5-72b/1fa2ab02-9a1c-4e7e-95b8-27e78af0ba73.json b/data/hfopenllm_v2/alibaba/MaziyarPanahi/calme-2.2-qwen2.5-72b/1fa2ab02-9a1c-4e7e-95b8-27e78af0ba73.json
deleted file mode 100644
index dd1257934..000000000
--- a/data/hfopenllm_v2/alibaba/MaziyarPanahi/calme-2.2-qwen2.5-72b/1fa2ab02-9a1c-4e7e-95b8-27e78af0ba73.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/MaziyarPanahi/calme-2.3-qwen2-72b/8b769df2-18f5-4712-a02b-962d3e2bb7c7.json b/data/hfopenllm_v2/alibaba/MaziyarPanahi/calme-2.3-qwen2-72b/8b769df2-18f5-4712-a02b-962d3e2bb7c7.json
deleted file mode 100644
index 9e183d9c9..000000000
--- a/data/hfopenllm_v2/alibaba/MaziyarPanahi/calme-2.3-qwen2-72b/8b769df2-18f5-4712-a02b-962d3e2bb7c7.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/MaziyarPanahi/calme-2.3-qwen2-7b/3272e904-21d5-4116-abde-0e74fe48b9d5.json b/data/hfopenllm_v2/alibaba/MaziyarPanahi/calme-2.3-qwen2-7b/3272e904-21d5-4116-abde-0e74fe48b9d5.json
deleted file mode 100644
index adabce859..000000000
--- a/data/hfopenllm_v2/alibaba/MaziyarPanahi/calme-2.3-qwen2-7b/3272e904-21d5-4116-abde-0e74fe48b9d5.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/MaziyarPanahi/calme-2.4-qwen2-7b/5f54ee4a-42e8-4dd0-88bc-915d2f1971a0.json b/data/hfopenllm_v2/alibaba/MaziyarPanahi/calme-2.4-qwen2-7b/5f54ee4a-42e8-4dd0-88bc-915d2f1971a0.json
deleted file mode 100644
index 5970fd4fe..000000000
--- a/data/hfopenllm_v2/alibaba/MaziyarPanahi/calme-2.4-qwen2-7b/5f54ee4a-42e8-4dd0-88bc-915d2f1971a0.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/MaziyarPanahi/calme-2.5-qwen2-7b/762f6ff3-4823-4de8-8351-045e1d1d383b.json b/data/hfopenllm_v2/alibaba/MaziyarPanahi/calme-2.5-qwen2-7b/762f6ff3-4823-4de8-8351-045e1d1d383b.json
deleted file mode 100644
index 81f282977..000000000
--- a/data/hfopenllm_v2/alibaba/MaziyarPanahi/calme-2.5-qwen2-7b/762f6ff3-4823-4de8-8351-045e1d1d383b.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/MaziyarPanahi/calme-2.6-qwen2-7b/65f44cf9-f619-4f43-a03f-09e22386d319.json b/data/hfopenllm_v2/alibaba/MaziyarPanahi/calme-2.6-qwen2-7b/65f44cf9-f619-4f43-a03f-09e22386d319.json
deleted file mode 100644
index bdedd7304..000000000
--- a/data/hfopenllm_v2/alibaba/MaziyarPanahi/calme-2.6-qwen2-7b/65f44cf9-f619-4f43-a03f-09e22386d319.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/MaziyarPanahi/calme-2.7-qwen2-7b/f592bc27-c97c-4b14-abcf-30782d8c0056.json b/data/hfopenllm_v2/alibaba/MaziyarPanahi/calme-2.7-qwen2-7b/f592bc27-c97c-4b14-abcf-30782d8c0056.json
deleted file mode 100644
index c11a7842e..000000000
--- a/data/hfopenllm_v2/alibaba/MaziyarPanahi/calme-2.7-qwen2-7b/f592bc27-c97c-4b14-abcf-30782d8c0056.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/Minami-su/Amara-o1-7B-Qwen/6910eff9-74bc-46b0-8f8c-20642bef4a12.json b/data/hfopenllm_v2/alibaba/Minami-su/Amara-o1-7B-Qwen/6910eff9-74bc-46b0-8f8c-20642bef4a12.json
deleted file mode 100644
index d3f49f1e1..000000000
--- a/data/hfopenllm_v2/alibaba/Minami-su/Amara-o1-7B-Qwen/6910eff9-74bc-46b0-8f8c-20642bef4a12.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/Minami-su/Amara-o2-7B-Qwen/ebd5da9f-60d5-492e-916b-5e123442316c.json b/data/hfopenllm_v2/alibaba/Minami-su/Amara-o2-7B-Qwen/ebd5da9f-60d5-492e-916b-5e123442316c.json
deleted file mode 100644
index 41efa1984..000000000
--- a/data/hfopenllm_v2/alibaba/Minami-su/Amara-o2-7B-Qwen/ebd5da9f-60d5-492e-916b-5e123442316c.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/Nexesenex/Qwen_2.5_3b_Smarteaz_0.01a/eaf601d2-f285-4b0c-b3ab-5d029b8fe20f.json b/data/hfopenllm_v2/alibaba/Nexesenex/Qwen_2.5_3b_Smarteaz_0.01a/eaf601d2-f285-4b0c-b3ab-5d029b8fe20f.json
deleted file mode 100644
index 12596ef0c..000000000
--- a/data/hfopenllm_v2/alibaba/Nexesenex/Qwen_2.5_3b_Smarteaz_0.01a/eaf601d2-f285-4b0c-b3ab-5d029b8fe20f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/NikolaSigmoid/DeepSeek-R1-Distill-Qwen-1.5B-500/c0182d01-454b-4194-be7a-81b9a9672d07.json b/data/hfopenllm_v2/alibaba/NikolaSigmoid/DeepSeek-R1-Distill-Qwen-1.5B-500/c0182d01-454b-4194-be7a-81b9a9672d07.json
deleted file mode 100644
index 8fe8546ba..000000000
--- a/data/hfopenllm_v2/alibaba/NikolaSigmoid/DeepSeek-R1-Distill-Qwen-1.5B-500/c0182d01-454b-4194-be7a-81b9a9672d07.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/PJMixers-Dev/Qwen2.5-RomboTiesTest-7B/a954be32-0c84-4ffe-9c4f-7f895c77e197.json b/data/hfopenllm_v2/alibaba/PJMixers-Dev/Qwen2.5-RomboTiesTest-7B/a954be32-0c84-4ffe-9c4f-7f895c77e197.json
deleted file mode 100644
index 47dbcf698..000000000
--- a/data/hfopenllm_v2/alibaba/PJMixers-Dev/Qwen2.5-RomboTiesTest-7B/a954be32-0c84-4ffe-9c4f-7f895c77e197.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/Pinkstack/PARM-V1.5-base-QwQ-Qwen-2.5-o1-3B/7b8f75d1-ef18-4fb4-abbb-efd6147fe74c.json b/data/hfopenllm_v2/alibaba/Pinkstack/PARM-V1.5-base-QwQ-Qwen-2.5-o1-3B/7b8f75d1-ef18-4fb4-abbb-efd6147fe74c.json
deleted file mode 100644
index 8370443d0..000000000
--- a/data/hfopenllm_v2/alibaba/Pinkstack/PARM-V1.5-base-QwQ-Qwen-2.5-o1-3B/7b8f75d1-ef18-4fb4-abbb-efd6147fe74c.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/Qwen/QwQ-32B-Preview/1326f0c0-9355-47ff-813b-0729370e1487.json b/data/hfopenllm_v2/alibaba/Qwen/QwQ-32B-Preview/1326f0c0-9355-47ff-813b-0729370e1487.json
deleted file mode 100644
index f1ca85f4f..000000000
--- a/data/hfopenllm_v2/alibaba/Qwen/QwQ-32B-Preview/1326f0c0-9355-47ff-813b-0729370e1487.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/Qwen/QwQ-32B/788241ad-d975-498e-80ef-b0d04bd8db85.json b/data/hfopenllm_v2/alibaba/Qwen/QwQ-32B/788241ad-d975-498e-80ef-b0d04bd8db85.json
deleted file mode 100644
index bbaddf5e1..000000000
--- a/data/hfopenllm_v2/alibaba/Qwen/QwQ-32B/788241ad-d975-498e-80ef-b0d04bd8db85.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/Qwen/Qwen1.5-0.5B/e0115d6b-3b2c-4047-b64c-1e7afb5edd55.json b/data/hfopenllm_v2/alibaba/Qwen/Qwen1.5-0.5B/e0115d6b-3b2c-4047-b64c-1e7afb5edd55.json
deleted file mode 100644
index 3fc1adc4a..000000000
--- a/data/hfopenllm_v2/alibaba/Qwen/Qwen1.5-0.5B/e0115d6b-3b2c-4047-b64c-1e7afb5edd55.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/Qwen/Qwen1.5-1.8B/7c828833-fd36-4a84-8530-d3c1769ca822.json b/data/hfopenllm_v2/alibaba/Qwen/Qwen1.5-1.8B/7c828833-fd36-4a84-8530-d3c1769ca822.json
deleted file mode 100644
index 3b3df7170..000000000
--- a/data/hfopenllm_v2/alibaba/Qwen/Qwen1.5-1.8B/7c828833-fd36-4a84-8530-d3c1769ca822.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/Qwen/Qwen1.5-110B/29389e2b-7898-4f9f-ba8c-8fe4dad80295.json b/data/hfopenllm_v2/alibaba/Qwen/Qwen1.5-110B/29389e2b-7898-4f9f-ba8c-8fe4dad80295.json
deleted file mode 100644
index 534551c1d..000000000
--- a/data/hfopenllm_v2/alibaba/Qwen/Qwen1.5-110B/29389e2b-7898-4f9f-ba8c-8fe4dad80295.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/Qwen/Qwen1.5-14B/9afcb068-65e2-4d4c-b7ee-071eb4dbac73.json b/data/hfopenllm_v2/alibaba/Qwen/Qwen1.5-14B/9afcb068-65e2-4d4c-b7ee-071eb4dbac73.json
deleted file mode 100644
index 42e8c5afd..000000000
--- a/data/hfopenllm_v2/alibaba/Qwen/Qwen1.5-14B/9afcb068-65e2-4d4c-b7ee-071eb4dbac73.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/Qwen/Qwen1.5-32B/b8cd9221-dd4e-4f49-b03e-f11bdd5773e4.json b/data/hfopenllm_v2/alibaba/Qwen/Qwen1.5-32B/b8cd9221-dd4e-4f49-b03e-f11bdd5773e4.json
deleted file mode 100644
index b91fd2e9b..000000000
--- a/data/hfopenllm_v2/alibaba/Qwen/Qwen1.5-32B/b8cd9221-dd4e-4f49-b03e-f11bdd5773e4.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/Qwen/Qwen1.5-4B/1e3f60f2-814a-4979-87bd-f5f94d5b09cc.json b/data/hfopenllm_v2/alibaba/Qwen/Qwen1.5-4B/1e3f60f2-814a-4979-87bd-f5f94d5b09cc.json
deleted file mode 100644
index 75c8125e6..000000000
--- a/data/hfopenllm_v2/alibaba/Qwen/Qwen1.5-4B/1e3f60f2-814a-4979-87bd-f5f94d5b09cc.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/Qwen/Qwen1.5-7B/102378fc-7b98-4088-a6f5-3039e7b638d5.json b/data/hfopenllm_v2/alibaba/Qwen/Qwen1.5-7B/102378fc-7b98-4088-a6f5-3039e7b638d5.json
deleted file mode 100644
index fb1db2ae7..000000000
--- a/data/hfopenllm_v2/alibaba/Qwen/Qwen1.5-7B/102378fc-7b98-4088-a6f5-3039e7b638d5.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/Qwen/Qwen1.5-MoE-A2.7B/c6aa0ed8-3b79-4d73-8587-762e9469f4ce.json b/data/hfopenllm_v2/alibaba/Qwen/Qwen1.5-MoE-A2.7B/c6aa0ed8-3b79-4d73-8587-762e9469f4ce.json
deleted file mode 100644
index c89c22dfd..000000000
--- a/data/hfopenllm_v2/alibaba/Qwen/Qwen1.5-MoE-A2.7B/c6aa0ed8-3b79-4d73-8587-762e9469f4ce.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/Qwen/Qwen2-0.5B/cdf3b683-29d9-45b4-b6a6-1f67927ef953.json b/data/hfopenllm_v2/alibaba/Qwen/Qwen2-0.5B/cdf3b683-29d9-45b4-b6a6-1f67927ef953.json
deleted file mode 100644
index bfe89233e..000000000
--- a/data/hfopenllm_v2/alibaba/Qwen/Qwen2-0.5B/cdf3b683-29d9-45b4-b6a6-1f67927ef953.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/Qwen/Qwen2-1.5B/6eb76673-0633-440b-8849-8fcf8cf00954.json b/data/hfopenllm_v2/alibaba/Qwen/Qwen2-1.5B/6eb76673-0633-440b-8849-8fcf8cf00954.json
deleted file mode 100644
index ff1e12fd4..000000000
--- a/data/hfopenllm_v2/alibaba/Qwen/Qwen2-1.5B/6eb76673-0633-440b-8849-8fcf8cf00954.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/Qwen/Qwen2-57B-A14B/aafb84cd-5950-4b93-98d1-9e50fd294b65.json b/data/hfopenllm_v2/alibaba/Qwen/Qwen2-57B-A14B/aafb84cd-5950-4b93-98d1-9e50fd294b65.json
deleted file mode 100644
index 00d84e48f..000000000
--- a/data/hfopenllm_v2/alibaba/Qwen/Qwen2-57B-A14B/aafb84cd-5950-4b93-98d1-9e50fd294b65.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/Qwen/Qwen2-72B/fc683e1a-327f-4a69-bd51-9022c587159b.json b/data/hfopenllm_v2/alibaba/Qwen/Qwen2-72B/fc683e1a-327f-4a69-bd51-9022c587159b.json
deleted file mode 100644
index 0dd10ce28..000000000
--- a/data/hfopenllm_v2/alibaba/Qwen/Qwen2-72B/fc683e1a-327f-4a69-bd51-9022c587159b.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/Qwen/Qwen2-7B/196e965c-4570-43aa-ba0d-13972796bda9.json b/data/hfopenllm_v2/alibaba/Qwen/Qwen2-7B/196e965c-4570-43aa-ba0d-13972796bda9.json
deleted file mode 100644
index b254194f9..000000000
--- a/data/hfopenllm_v2/alibaba/Qwen/Qwen2-7B/196e965c-4570-43aa-ba0d-13972796bda9.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/Qwen/Qwen2-Math-7B/fe474496-4efa-4ef7-844d-32b17abda7c8.json b/data/hfopenllm_v2/alibaba/Qwen/Qwen2-Math-7B/fe474496-4efa-4ef7-844d-32b17abda7c8.json
deleted file mode 100644
index 076a20171..000000000
--- a/data/hfopenllm_v2/alibaba/Qwen/Qwen2-Math-7B/fe474496-4efa-4ef7-844d-32b17abda7c8.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/Qwen/Qwen2.5-0.5B/c8110747-f2dd-46d0-b2b3-706d70e1d714.json b/data/hfopenllm_v2/alibaba/Qwen/Qwen2.5-0.5B/c8110747-f2dd-46d0-b2b3-706d70e1d714.json
deleted file mode 100644
index 3041dd71c..000000000
--- a/data/hfopenllm_v2/alibaba/Qwen/Qwen2.5-0.5B/c8110747-f2dd-46d0-b2b3-706d70e1d714.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/Qwen/Qwen2.5-1.5B/9982c576-75fd-47f6-8fe9-52b56fc58d3f.json b/data/hfopenllm_v2/alibaba/Qwen/Qwen2.5-1.5B/9982c576-75fd-47f6-8fe9-52b56fc58d3f.json
deleted file mode 100644
index f1e033440..000000000
--- a/data/hfopenllm_v2/alibaba/Qwen/Qwen2.5-1.5B/9982c576-75fd-47f6-8fe9-52b56fc58d3f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/Qwen/Qwen2.5-14B/b02dabaf-2aac-468d-b0cc-c7194c2094fd.json b/data/hfopenllm_v2/alibaba/Qwen/Qwen2.5-14B/b02dabaf-2aac-468d-b0cc-c7194c2094fd.json
deleted file mode 100644
index a19763b24..000000000
--- a/data/hfopenllm_v2/alibaba/Qwen/Qwen2.5-14B/b02dabaf-2aac-468d-b0cc-c7194c2094fd.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/Qwen/Qwen2.5-32B/9dd61039-27d0-42f3-9b03-65b0a59465d4.json b/data/hfopenllm_v2/alibaba/Qwen/Qwen2.5-32B/9dd61039-27d0-42f3-9b03-65b0a59465d4.json
deleted file mode 100644
index d06797d7f..000000000
--- a/data/hfopenllm_v2/alibaba/Qwen/Qwen2.5-32B/9dd61039-27d0-42f3-9b03-65b0a59465d4.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/Qwen/Qwen2.5-3B/43062e28-5532-4e31-ac49-fbd794c7f664.json b/data/hfopenllm_v2/alibaba/Qwen/Qwen2.5-3B/43062e28-5532-4e31-ac49-fbd794c7f664.json
deleted file mode 100644
index 77943e095..000000000
--- a/data/hfopenllm_v2/alibaba/Qwen/Qwen2.5-3B/43062e28-5532-4e31-ac49-fbd794c7f664.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/Qwen/Qwen2.5-72B/89ce1911-289d-40bb-be48-f9a4d8d73ac2.json b/data/hfopenllm_v2/alibaba/Qwen/Qwen2.5-72B/89ce1911-289d-40bb-be48-f9a4d8d73ac2.json
deleted file mode 100644
index 1dff570d2..000000000
--- a/data/hfopenllm_v2/alibaba/Qwen/Qwen2.5-72B/89ce1911-289d-40bb-be48-f9a4d8d73ac2.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/Qwen/Qwen2.5-7B/bed92e1c-8f11-4f70-826e-569aa55baa09.json b/data/hfopenllm_v2/alibaba/Qwen/Qwen2.5-7B/bed92e1c-8f11-4f70-826e-569aa55baa09.json
deleted file mode 100644
index 9f5c460bb..000000000
--- a/data/hfopenllm_v2/alibaba/Qwen/Qwen2.5-7B/bed92e1c-8f11-4f70-826e-569aa55baa09.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/Qwen/Qwen2.5-Coder-14B/d0ae041c-8b56-4ce1-841b-96622a724894.json b/data/hfopenllm_v2/alibaba/Qwen/Qwen2.5-Coder-14B/d0ae041c-8b56-4ce1-841b-96622a724894.json
deleted file mode 100644
index 2dde0a204..000000000
--- a/data/hfopenllm_v2/alibaba/Qwen/Qwen2.5-Coder-14B/d0ae041c-8b56-4ce1-841b-96622a724894.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/Qwen/Qwen2.5-Coder-32B/743c517a-ad0f-495d-b9d0-cdca01335933.json b/data/hfopenllm_v2/alibaba/Qwen/Qwen2.5-Coder-32B/743c517a-ad0f-495d-b9d0-cdca01335933.json
deleted file mode 100644
index 689ea4d2e..000000000
--- a/data/hfopenllm_v2/alibaba/Qwen/Qwen2.5-Coder-32B/743c517a-ad0f-495d-b9d0-cdca01335933.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/Qwen/Qwen2.5-Coder-7B/5e82cb32-8291-497b-ac56-16b50947d1bf.json b/data/hfopenllm_v2/alibaba/Qwen/Qwen2.5-Coder-7B/5e82cb32-8291-497b-ac56-16b50947d1bf.json
deleted file mode 100644
index 1741c8019..000000000
--- a/data/hfopenllm_v2/alibaba/Qwen/Qwen2.5-Coder-7B/5e82cb32-8291-497b-ac56-16b50947d1bf.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/Qwen/Qwen2.5-Math-7B/8fddcebe-58d2-4d40-8147-f02feabc0d9c.json b/data/hfopenllm_v2/alibaba/Qwen/Qwen2.5-Math-7B/8fddcebe-58d2-4d40-8147-f02feabc0d9c.json
deleted file mode 100644
index 426f486af..000000000
--- a/data/hfopenllm_v2/alibaba/Qwen/Qwen2.5-Math-7B/8fddcebe-58d2-4d40-8147-f02feabc0d9c.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/RESMPDEV/EVA-Qwen2.5-1.5B-FRFR/648e69e2-54de-43c4-93ac-f8422fa4b9c1.json b/data/hfopenllm_v2/alibaba/RESMPDEV/EVA-Qwen2.5-1.5B-FRFR/648e69e2-54de-43c4-93ac-f8422fa4b9c1.json
deleted file mode 100644
index a83847bb6..000000000
--- a/data/hfopenllm_v2/alibaba/RESMPDEV/EVA-Qwen2.5-1.5B-FRFR/648e69e2-54de-43c4-93ac-f8422fa4b9c1.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/RESMPDEV/Qwen2-Wukong-0.5B/72a11594-1d83-4e12-b82f-137b6749f5ab.json b/data/hfopenllm_v2/alibaba/RESMPDEV/Qwen2-Wukong-0.5B/72a11594-1d83-4e12-b82f-137b6749f5ab.json
deleted file mode 100644
index c337fca2a..000000000
--- a/data/hfopenllm_v2/alibaba/RESMPDEV/Qwen2-Wukong-0.5B/72a11594-1d83-4e12-b82f-137b6749f5ab.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/Replete-AI/Replete-Coder-Qwen2-1.5b/1ff6b76b-7241-4f06-9db5-4594d3ff7a3f.json b/data/hfopenllm_v2/alibaba/Replete-AI/Replete-Coder-Qwen2-1.5b/1ff6b76b-7241-4f06-9db5-4594d3ff7a3f.json
deleted file mode 100644
index 76388e275..000000000
--- a/data/hfopenllm_v2/alibaba/Replete-AI/Replete-Coder-Qwen2-1.5b/1ff6b76b-7241-4f06-9db5-4594d3ff7a3f.json
+++ /dev/null
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-{
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diff --git a/data/hfopenllm_v2/alibaba/Replete-AI/Replete-LLM-Qwen2-7b/20a6e090-2c78-4eb9-870e-9abbcbada6f9.json b/data/hfopenllm_v2/alibaba/Replete-AI/Replete-LLM-Qwen2-7b/20a6e090-2c78-4eb9-870e-9abbcbada6f9.json
deleted file mode 100644
index aa3782fff..000000000
--- a/data/hfopenllm_v2/alibaba/Replete-AI/Replete-LLM-Qwen2-7b/20a6e090-2c78-4eb9-870e-9abbcbada6f9.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/Replete-AI/Replete-LLM-Qwen2-7b/a846978d-de78-48e8-a738-54c732e50c28.json b/data/hfopenllm_v2/alibaba/Replete-AI/Replete-LLM-Qwen2-7b/a846978d-de78-48e8-a738-54c732e50c28.json
deleted file mode 100644
index 26660a83c..000000000
--- a/data/hfopenllm_v2/alibaba/Replete-AI/Replete-LLM-Qwen2-7b/a846978d-de78-48e8-a738-54c732e50c28.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/Replete-AI/Replete-LLM-Qwen2-7b_Beta-Preview/4977e0d5-1446-41ba-b00b-e8236c896d2e.json b/data/hfopenllm_v2/alibaba/Replete-AI/Replete-LLM-Qwen2-7b_Beta-Preview/4977e0d5-1446-41ba-b00b-e8236c896d2e.json
deleted file mode 100644
index a78854937..000000000
--- a/data/hfopenllm_v2/alibaba/Replete-AI/Replete-LLM-Qwen2-7b_Beta-Preview/4977e0d5-1446-41ba-b00b-e8236c896d2e.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/Rombo-Org/Rombo-LLM-V2.5-Qwen-7b/8713e6fb-8843-43f2-af3b-57a59d326670.json b/data/hfopenllm_v2/alibaba/Rombo-Org/Rombo-LLM-V2.5-Qwen-7b/8713e6fb-8843-43f2-af3b-57a59d326670.json
deleted file mode 100644
index cc233eedc..000000000
--- a/data/hfopenllm_v2/alibaba/Rombo-Org/Rombo-LLM-V2.5-Qwen-7b/8713e6fb-8843-43f2-af3b-57a59d326670.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/Sakalti/QwenTest-7/2d99163e-9ebd-49d9-ad13-ee1f780d277c.json b/data/hfopenllm_v2/alibaba/Sakalti/QwenTest-7/2d99163e-9ebd-49d9-ad13-ee1f780d277c.json
deleted file mode 100644
index c93c794ec..000000000
--- a/data/hfopenllm_v2/alibaba/Sakalti/QwenTest-7/2d99163e-9ebd-49d9-ad13-ee1f780d277c.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/Sakalti/qwen2.5-2.3B/6dc5b101-c681-4010-941a-3983cb9eff53.json b/data/hfopenllm_v2/alibaba/Sakalti/qwen2.5-2.3B/6dc5b101-c681-4010-941a-3983cb9eff53.json
deleted file mode 100644
index 4a987acc2..000000000
--- a/data/hfopenllm_v2/alibaba/Sakalti/qwen2.5-2.3B/6dc5b101-c681-4010-941a-3983cb9eff53.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-    "developer": "alibaba",
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diff --git a/data/hfopenllm_v2/alibaba/SicariusSicariiStuff/Impish_QWEN_14B-1M/a059e151-6f32-48ff-900b-4e232aef3cc0.json b/data/hfopenllm_v2/alibaba/SicariusSicariiStuff/Impish_QWEN_14B-1M/a059e151-6f32-48ff-900b-4e232aef3cc0.json
deleted file mode 100644
index 13c7e37e3..000000000
--- a/data/hfopenllm_v2/alibaba/SicariusSicariiStuff/Impish_QWEN_14B-1M/a059e151-6f32-48ff-900b-4e232aef3cc0.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "model_info": {
-    "name": "SicariusSicariiStuff/Impish_QWEN_14B-1M",
-    "developer": "alibaba",
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diff --git a/data/hfopenllm_v2/alibaba/SicariusSicariiStuff/Impish_QWEN_7B-1M/64c02fd8-386d-4b4c-bc00-d243cfcae7f1.json b/data/hfopenllm_v2/alibaba/SicariusSicariiStuff/Impish_QWEN_7B-1M/64c02fd8-386d-4b4c-bc00-d243cfcae7f1.json
deleted file mode 100644
index f81f6f773..000000000
--- a/data/hfopenllm_v2/alibaba/SicariusSicariiStuff/Impish_QWEN_7B-1M/64c02fd8-386d-4b4c-bc00-d243cfcae7f1.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/SicariusSicariiStuff/Qwen2.5-14B_Uncencored/7c6f4fa2-6847-4f57-8a8f-31673bd8b1e7.json b/data/hfopenllm_v2/alibaba/SicariusSicariiStuff/Qwen2.5-14B_Uncencored/7c6f4fa2-6847-4f57-8a8f-31673bd8b1e7.json
deleted file mode 100644
index 992da5136..000000000
--- a/data/hfopenllm_v2/alibaba/SicariusSicariiStuff/Qwen2.5-14B_Uncencored/7c6f4fa2-6847-4f57-8a8f-31673bd8b1e7.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/SicariusSicariiStuff/Qwen2.5-14B_Uncensored/ea18a046-87bb-42d9-a1b2-d01fe875c970.json b/data/hfopenllm_v2/alibaba/SicariusSicariiStuff/Qwen2.5-14B_Uncensored/ea18a046-87bb-42d9-a1b2-d01fe875c970.json
deleted file mode 100644
index 0b0deea59..000000000
--- a/data/hfopenllm_v2/alibaba/SicariusSicariiStuff/Qwen2.5-14B_Uncensored/ea18a046-87bb-42d9-a1b2-d01fe875c970.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/SicariusSicariiStuff/Qwen2.5-14B_Uncensored_Instruct/8012de5a-8cb0-4039-895f-70c20e9237ee.json b/data/hfopenllm_v2/alibaba/SicariusSicariiStuff/Qwen2.5-14B_Uncensored_Instruct/8012de5a-8cb0-4039-895f-70c20e9237ee.json
deleted file mode 100644
index 77564c1a6..000000000
--- a/data/hfopenllm_v2/alibaba/SicariusSicariiStuff/Qwen2.5-14B_Uncensored_Instruct/8012de5a-8cb0-4039-895f-70c20e9237ee.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/StelleX/Qwen2.5_Math_7B_Cot/a0802c61-1314-4a46-9b61-7a89246bac42.json b/data/hfopenllm_v2/alibaba/StelleX/Qwen2.5_Math_7B_Cot/a0802c61-1314-4a46-9b61-7a89246bac42.json
deleted file mode 100644
index eb5d4493f..000000000
--- a/data/hfopenllm_v2/alibaba/StelleX/Qwen2.5_Math_7B_Cot/a0802c61-1314-4a46-9b61-7a89246bac42.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/T145/qwen-2.5-3B-merge-test/071d7565-90e5-43e8-a158-ab333beacdcf.json b/data/hfopenllm_v2/alibaba/T145/qwen-2.5-3B-merge-test/071d7565-90e5-43e8-a158-ab333beacdcf.json
deleted file mode 100644
index ea894cf55..000000000
--- a/data/hfopenllm_v2/alibaba/T145/qwen-2.5-3B-merge-test/071d7565-90e5-43e8-a158-ab333beacdcf.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/TIGER-Lab/AceCoder-Qwen2.5-7B-Ins-Rule/7621e05b-1b5e-43e5-a65c-322334575e68.json b/data/hfopenllm_v2/alibaba/TIGER-Lab/AceCoder-Qwen2.5-7B-Ins-Rule/7621e05b-1b5e-43e5-a65c-322334575e68.json
deleted file mode 100644
index 0bd972828..000000000
--- a/data/hfopenllm_v2/alibaba/TIGER-Lab/AceCoder-Qwen2.5-7B-Ins-Rule/7621e05b-1b5e-43e5-a65c-322334575e68.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/TIGER-Lab/AceCoder-Qwen2.5-Coder-7B-Base-Rule/f6223009-028e-4063-90ce-e008a3b5b284.json b/data/hfopenllm_v2/alibaba/TIGER-Lab/AceCoder-Qwen2.5-Coder-7B-Base-Rule/f6223009-028e-4063-90ce-e008a3b5b284.json
deleted file mode 100644
index a1fd818de..000000000
--- a/data/hfopenllm_v2/alibaba/TIGER-Lab/AceCoder-Qwen2.5-Coder-7B-Base-Rule/f6223009-028e-4063-90ce-e008a3b5b284.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/TIGER-Lab/AceCoder-Qwen2.5-Coder-7B-Ins-Rule/f75e2bca-e300-4b3c-a5aa-f6aae03e7330.json b/data/hfopenllm_v2/alibaba/TIGER-Lab/AceCoder-Qwen2.5-Coder-7B-Ins-Rule/f75e2bca-e300-4b3c-a5aa-f6aae03e7330.json
deleted file mode 100644
index 8a9c37318..000000000
--- a/data/hfopenllm_v2/alibaba/TIGER-Lab/AceCoder-Qwen2.5-Coder-7B-Ins-Rule/f75e2bca-e300-4b3c-a5aa-f6aae03e7330.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/TIGER-Lab/Qwen2.5-Math-7B-CFT/07e72fc4-9c37-4a81-a788-8619035c66d3.json b/data/hfopenllm_v2/alibaba/TIGER-Lab/Qwen2.5-Math-7B-CFT/07e72fc4-9c37-4a81-a788-8619035c66d3.json
deleted file mode 100644
index eb2846c87..000000000
--- a/data/hfopenllm_v2/alibaba/TIGER-Lab/Qwen2.5-Math-7B-CFT/07e72fc4-9c37-4a81-a788-8619035c66d3.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/TheTsar1209/qwen-carpmuscle-r-v0.3/43b106fe-ff02-4cfe-956f-cfc9e272de78.json b/data/hfopenllm_v2/alibaba/TheTsar1209/qwen-carpmuscle-r-v0.3/43b106fe-ff02-4cfe-956f-cfc9e272de78.json
deleted file mode 100644
index 47fa425a1..000000000
--- a/data/hfopenllm_v2/alibaba/TheTsar1209/qwen-carpmuscle-r-v0.3/43b106fe-ff02-4cfe-956f-cfc9e272de78.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/alibaba/TheTsar1209/qwen-carpmuscle-v0.1/ce9658b7-b457-4fb3-8fce-4173b5d93f2d.json b/data/hfopenllm_v2/alibaba/TheTsar1209/qwen-carpmuscle-v0.1/ce9658b7-b457-4fb3-8fce-4173b5d93f2d.json
deleted file mode 100644
index 2f52b9e9b..000000000
--- a/data/hfopenllm_v2/alibaba/TheTsar1209/qwen-carpmuscle-v0.1/ce9658b7-b457-4fb3-8fce-4173b5d93f2d.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/TheTsar1209/qwen-carpmuscle-v0.2/eed9909e-db3e-4d6a-8caa-3f208ace941d.json b/data/hfopenllm_v2/alibaba/TheTsar1209/qwen-carpmuscle-v0.2/eed9909e-db3e-4d6a-8caa-3f208ace941d.json
deleted file mode 100644
index b007094a2..000000000
--- a/data/hfopenllm_v2/alibaba/TheTsar1209/qwen-carpmuscle-v0.2/eed9909e-db3e-4d6a-8caa-3f208ace941d.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/TheTsar1209/qwen-carpmuscle-v0.3/f8aa8470-6803-458e-8207-b217969dd6f3.json b/data/hfopenllm_v2/alibaba/TheTsar1209/qwen-carpmuscle-v0.3/f8aa8470-6803-458e-8207-b217969dd6f3.json
deleted file mode 100644
index 13dc60565..000000000
--- a/data/hfopenllm_v2/alibaba/TheTsar1209/qwen-carpmuscle-v0.3/f8aa8470-6803-458e-8207-b217969dd6f3.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/TheTsar1209/qwen-carpmuscle-v0.4.1/c464e6b4-aa76-4b42-ab9b-71f193ec2a57.json b/data/hfopenllm_v2/alibaba/TheTsar1209/qwen-carpmuscle-v0.4.1/c464e6b4-aa76-4b42-ab9b-71f193ec2a57.json
deleted file mode 100644
index 1ed012fe3..000000000
--- a/data/hfopenllm_v2/alibaba/TheTsar1209/qwen-carpmuscle-v0.4.1/c464e6b4-aa76-4b42-ab9b-71f193ec2a57.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/alibaba/TheTsar1209/qwen-carpmuscle-v0.4/90fe60dc-76dd-4e90-99b4-c16d026afcb5.json b/data/hfopenllm_v2/alibaba/TheTsar1209/qwen-carpmuscle-v0.4/90fe60dc-76dd-4e90-99b4-c16d026afcb5.json
deleted file mode 100644
index 6c932f2d8..000000000
--- a/data/hfopenllm_v2/alibaba/TheTsar1209/qwen-carpmuscle-v0.4/90fe60dc-76dd-4e90-99b4-c16d026afcb5.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/Triangle104/DSR1-Distill-Qwen-7B-RP/856c2575-700c-4b00-8883-bcde8841e262.json b/data/hfopenllm_v2/alibaba/Triangle104/DSR1-Distill-Qwen-7B-RP/856c2575-700c-4b00-8883-bcde8841e262.json
deleted file mode 100644
index 5e710499b..000000000
--- a/data/hfopenllm_v2/alibaba/Triangle104/DSR1-Distill-Qwen-7B-RP/856c2575-700c-4b00-8883-bcde8841e262.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/Weyaxi/Einstein-v7-Qwen2-7B/b20c1304-d782-4d41-9c15-0091f9c914e4.json b/data/hfopenllm_v2/alibaba/Weyaxi/Einstein-v7-Qwen2-7B/b20c1304-d782-4d41-9c15-0091f9c914e4.json
deleted file mode 100644
index f4720e82e..000000000
--- a/data/hfopenllm_v2/alibaba/Weyaxi/Einstein-v7-Qwen2-7B/b20c1304-d782-4d41-9c15-0091f9c914e4.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/Xiaojian9992024/Qwen2.5-7B-MS-Destroyer/c5d4bbfe-68a9-4808-ab2e-e92dd88ba06a.json b/data/hfopenllm_v2/alibaba/Xiaojian9992024/Qwen2.5-7B-MS-Destroyer/c5d4bbfe-68a9-4808-ab2e-e92dd88ba06a.json
deleted file mode 100644
index 79d60db25..000000000
--- a/data/hfopenllm_v2/alibaba/Xiaojian9992024/Qwen2.5-7B-MS-Destroyer/c5d4bbfe-68a9-4808-ab2e-e92dd88ba06a.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/Xiaojian9992024/Qwen2.5-Dyanka-7B-Preview-v0.2/5cf588ed-fde6-4ee1-833e-a6743cc1834c.json b/data/hfopenllm_v2/alibaba/Xiaojian9992024/Qwen2.5-Dyanka-7B-Preview-v0.2/5cf588ed-fde6-4ee1-833e-a6743cc1834c.json
deleted file mode 100644
index 43eb48d88..000000000
--- a/data/hfopenllm_v2/alibaba/Xiaojian9992024/Qwen2.5-Dyanka-7B-Preview-v0.2/5cf588ed-fde6-4ee1-833e-a6743cc1834c.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/Xiaojian9992024/Qwen2.5-Dyanka-7B-Preview/97a591f9-2052-43b3-851d-ac73c793a000.json b/data/hfopenllm_v2/alibaba/Xiaojian9992024/Qwen2.5-Dyanka-7B-Preview/97a591f9-2052-43b3-851d-ac73c793a000.json
deleted file mode 100644
index e5ca03aca..000000000
--- a/data/hfopenllm_v2/alibaba/Xiaojian9992024/Qwen2.5-Dyanka-7B-Preview/97a591f9-2052-43b3-851d-ac73c793a000.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/Xiaojian9992024/Qwen2.5-THREADRIPPER-Medium-Censored/89ca3fb4-eb53-422c-a4dd-029bd1fc7c37.json b/data/hfopenllm_v2/alibaba/Xiaojian9992024/Qwen2.5-THREADRIPPER-Medium-Censored/89ca3fb4-eb53-422c-a4dd-029bd1fc7c37.json
deleted file mode 100644
index 6a4960460..000000000
--- a/data/hfopenllm_v2/alibaba/Xiaojian9992024/Qwen2.5-THREADRIPPER-Medium-Censored/89ca3fb4-eb53-422c-a4dd-029bd1fc7c37.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/Xiaojian9992024/Qwen2.5-THREADRIPPER-Small-AnniversaryEdition/4fcdfdff-87be-47b0-93bb-b4bc0bb2499d.json b/data/hfopenllm_v2/alibaba/Xiaojian9992024/Qwen2.5-THREADRIPPER-Small-AnniversaryEdition/4fcdfdff-87be-47b0-93bb-b4bc0bb2499d.json
deleted file mode 100644
index 294c494a7..000000000
--- a/data/hfopenllm_v2/alibaba/Xiaojian9992024/Qwen2.5-THREADRIPPER-Small-AnniversaryEdition/4fcdfdff-87be-47b0-93bb-b4bc0bb2499d.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/Xiaojian9992024/Qwen2.5-THREADRIPPER-Small/a55039b6-922f-4732-9feb-fa757f627ebd.json b/data/hfopenllm_v2/alibaba/Xiaojian9992024/Qwen2.5-THREADRIPPER-Small/a55039b6-922f-4732-9feb-fa757f627ebd.json
deleted file mode 100644
index 894f870cd..000000000
--- a/data/hfopenllm_v2/alibaba/Xiaojian9992024/Qwen2.5-THREADRIPPER-Small/a55039b6-922f-4732-9feb-fa757f627ebd.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/Xiaojian9992024/Qwen2.5-Ultra-1.5B-25.02-Exp/ddfae432-5d3c-4c7e-bc7f-087cddea014f.json b/data/hfopenllm_v2/alibaba/Xiaojian9992024/Qwen2.5-Ultra-1.5B-25.02-Exp/ddfae432-5d3c-4c7e-bc7f-087cddea014f.json
deleted file mode 100644
index 386dbd20b..000000000
--- a/data/hfopenllm_v2/alibaba/Xiaojian9992024/Qwen2.5-Ultra-1.5B-25.02-Exp/ddfae432-5d3c-4c7e-bc7f-087cddea014f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/YOYO-AI/Qwen2.5-14B-1M-YOYO-V3/fdc183ed-50d6-40c3-8e7b-02a37fc42a00.json b/data/hfopenllm_v2/alibaba/YOYO-AI/Qwen2.5-14B-1M-YOYO-V3/fdc183ed-50d6-40c3-8e7b-02a37fc42a00.json
deleted file mode 100644
index b0c7a5a22..000000000
--- a/data/hfopenllm_v2/alibaba/YOYO-AI/Qwen2.5-14B-1M-YOYO-V3/fdc183ed-50d6-40c3-8e7b-02a37fc42a00.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/YOYO-AI/Qwen2.5-14B-YOYO-0505/1835078d-7897-4517-9d7b-86a2285dfa27.json b/data/hfopenllm_v2/alibaba/YOYO-AI/Qwen2.5-14B-YOYO-0505/1835078d-7897-4517-9d7b-86a2285dfa27.json
deleted file mode 100644
index 01c85071c..000000000
--- a/data/hfopenllm_v2/alibaba/YOYO-AI/Qwen2.5-14B-YOYO-0505/1835078d-7897-4517-9d7b-86a2285dfa27.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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deleted file mode 100644
index a40fa4413..000000000
--- a/data/hfopenllm_v2/alibaba/YOYO-AI/Qwen2.5-14B-YOYO-0510-v2/ad6edd05-e83f-4da3-b200-c1d972548e8b.json
+++ /dev/null
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deleted file mode 100644
index 3e15e60d6..000000000
--- a/data/hfopenllm_v2/alibaba/YOYO-AI/Qwen2.5-14B-YOYO-0805/6d4ac88f-7a02-4f78-9990-6736972f43f7.json
+++ /dev/null
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diff --git a/data/hfopenllm_v2/alibaba/YOYO-AI/Qwen2.5-14B-YOYO-1005-v2/ed12a458-8c3b-4e08-a218-e94b4fdd89d8.json b/data/hfopenllm_v2/alibaba/YOYO-AI/Qwen2.5-14B-YOYO-1005-v2/ed12a458-8c3b-4e08-a218-e94b4fdd89d8.json
deleted file mode 100644
index f34faf0c8..000000000
--- a/data/hfopenllm_v2/alibaba/YOYO-AI/Qwen2.5-14B-YOYO-1005-v2/ed12a458-8c3b-4e08-a218-e94b4fdd89d8.json
+++ /dev/null
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deleted file mode 100644
index 1fbcc6a48..000000000
--- a/data/hfopenllm_v2/alibaba/YOYO-AI/Qwen2.5-14B-YOYO-1005/29058700-6465-476d-b1c9-2bb89d70c52b.json
+++ /dev/null
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deleted file mode 100644
index a035007ed..000000000
--- a/data/hfopenllm_v2/alibaba/YOYO-AI/Qwen2.5-14B-YOYO-1010-v2/2047ae80-fdc6-4e94-90e6-b3cac52d8c45.json
+++ /dev/null
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deleted file mode 100644
index 0d00d88f9..000000000
--- a/data/hfopenllm_v2/alibaba/YOYO-AI/Qwen2.5-14B-YOYO-1010/1de35d6f-c62f-48fd-b921-41e85b55434a.json
+++ /dev/null
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deleted file mode 100644
index c21362a5e..000000000
--- a/data/hfopenllm_v2/alibaba/YOYO-AI/Qwen2.5-14B-YOYO-1010/6a676239-eed6-44dc-b395-1b2453d5b0ba.json
+++ /dev/null
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diff --git a/data/hfopenllm_v2/alibaba/YOYO-AI/Qwen2.5-14B-YOYO-SCE/e0545222-4bd1-490a-a315-5b9ce9742310.json b/data/hfopenllm_v2/alibaba/YOYO-AI/Qwen2.5-14B-YOYO-SCE/e0545222-4bd1-490a-a315-5b9ce9742310.json
deleted file mode 100644
index 1f1ac93b2..000000000
--- a/data/hfopenllm_v2/alibaba/YOYO-AI/Qwen2.5-14B-YOYO-SCE/e0545222-4bd1-490a-a315-5b9ce9742310.json
+++ /dev/null
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diff --git a/data/hfopenllm_v2/alibaba/YOYO-AI/Qwen2.5-14B-YOYO-V4-p1/441375d9-0375-4a15-9d50-267395d3ab13.json b/data/hfopenllm_v2/alibaba/YOYO-AI/Qwen2.5-14B-YOYO-V4-p1/441375d9-0375-4a15-9d50-267395d3ab13.json
deleted file mode 100644
index 6635821de..000000000
--- a/data/hfopenllm_v2/alibaba/YOYO-AI/Qwen2.5-14B-YOYO-V4-p1/441375d9-0375-4a15-9d50-267395d3ab13.json
+++ /dev/null
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diff --git a/data/hfopenllm_v2/alibaba/YOYO-AI/Qwen2.5-14B-YOYO-V4-p2/9ecdd8a3-247b-46b2-ae3b-5798685329ef.json b/data/hfopenllm_v2/alibaba/YOYO-AI/Qwen2.5-14B-YOYO-V4-p2/9ecdd8a3-247b-46b2-ae3b-5798685329ef.json
deleted file mode 100644
index b70815b7d..000000000
--- a/data/hfopenllm_v2/alibaba/YOYO-AI/Qwen2.5-14B-YOYO-V4-p2/9ecdd8a3-247b-46b2-ae3b-5798685329ef.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/alibaba/YOYO-AI/Qwen2.5-14B-YOYO-V4/c76d318b-eba5-4407-be86-a92051791f00.json b/data/hfopenllm_v2/alibaba/YOYO-AI/Qwen2.5-14B-YOYO-V4/c76d318b-eba5-4407-be86-a92051791f00.json
deleted file mode 100644
index afbcdf358..000000000
--- a/data/hfopenllm_v2/alibaba/YOYO-AI/Qwen2.5-14B-YOYO-V4/c76d318b-eba5-4407-be86-a92051791f00.json
+++ /dev/null
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diff --git a/data/hfopenllm_v2/alibaba/YOYO-AI/Qwen2.5-14B-YOYO-latest-V2/b97b327c-1730-4bfe-b5fe-00dbfcd0d372.json b/data/hfopenllm_v2/alibaba/YOYO-AI/Qwen2.5-14B-YOYO-latest-V2/b97b327c-1730-4bfe-b5fe-00dbfcd0d372.json
deleted file mode 100644
index 8d13692fd..000000000
--- a/data/hfopenllm_v2/alibaba/YOYO-AI/Qwen2.5-14B-YOYO-latest-V2/b97b327c-1730-4bfe-b5fe-00dbfcd0d372.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/YOYO-AI/Qwen2.5-14B-YOYO-latest/d5487f61-9be7-4ffc-af6d-be9f925dd4ba.json b/data/hfopenllm_v2/alibaba/YOYO-AI/Qwen2.5-14B-YOYO-latest/d5487f61-9be7-4ffc-af6d-be9f925dd4ba.json
deleted file mode 100644
index 6e7eea1ca..000000000
--- a/data/hfopenllm_v2/alibaba/YOYO-AI/Qwen2.5-14B-YOYO-latest/d5487f61-9be7-4ffc-af6d-be9f925dd4ba.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/YOYO-AI/Qwen2.5-14B-it-restore/ab78a98d-0cad-4215-8f37-f3093066a98d.json b/data/hfopenllm_v2/alibaba/YOYO-AI/Qwen2.5-14B-it-restore/ab78a98d-0cad-4215-8f37-f3093066a98d.json
deleted file mode 100644
index 5f18d598b..000000000
--- a/data/hfopenllm_v2/alibaba/YOYO-AI/Qwen2.5-14B-it-restore/ab78a98d-0cad-4215-8f37-f3093066a98d.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/YOYO-AI/Qwen2.5-7B-it-restore/2f2577b8-28e3-4fa1-8e65-66e59499b9cd.json b/data/hfopenllm_v2/alibaba/YOYO-AI/Qwen2.5-7B-it-restore/2f2577b8-28e3-4fa1-8e65-66e59499b9cd.json
deleted file mode 100644
index 029967deb..000000000
--- a/data/hfopenllm_v2/alibaba/YOYO-AI/Qwen2.5-7B-it-restore/2f2577b8-28e3-4fa1-8e65-66e59499b9cd.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/YOYO-AI/Qwen2.5-Coder-14B-YOYO-1010/4f6bda51-89d3-4005-9133-db6d871ae87d.json b/data/hfopenllm_v2/alibaba/YOYO-AI/Qwen2.5-Coder-14B-YOYO-1010/4f6bda51-89d3-4005-9133-db6d871ae87d.json
deleted file mode 100644
index be49f68da..000000000
--- a/data/hfopenllm_v2/alibaba/YOYO-AI/Qwen2.5-Coder-14B-YOYO-1010/4f6bda51-89d3-4005-9133-db6d871ae87d.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/YOYO-AI/ZYH-LLM-Qwen2.5-14B-V2/0c7e0639-a082-47f1-bf32-0c45ce573f0a.json b/data/hfopenllm_v2/alibaba/YOYO-AI/ZYH-LLM-Qwen2.5-14B-V2/0c7e0639-a082-47f1-bf32-0c45ce573f0a.json
deleted file mode 100644
index 3840b6c02..000000000
--- a/data/hfopenllm_v2/alibaba/YOYO-AI/ZYH-LLM-Qwen2.5-14B-V2/0c7e0639-a082-47f1-bf32-0c45ce573f0a.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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deleted file mode 100644
index 9fbcf852f..000000000
--- a/data/hfopenllm_v2/alibaba/YOYO-AI/ZYH-LLM-Qwen2.5-14B-V3/4f85534a-0b12-42c4-a0d3-06d4d8337e0c.json
+++ /dev/null
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diff --git a/data/hfopenllm_v2/alibaba/YOYO-AI/ZYH-LLM-Qwen2.5-14B-V4/f5b253b5-4c42-49f8-9f3f-d85a5b2502c0.json b/data/hfopenllm_v2/alibaba/YOYO-AI/ZYH-LLM-Qwen2.5-14B-V4/f5b253b5-4c42-49f8-9f3f-d85a5b2502c0.json
deleted file mode 100644
index 03dfae71a..000000000
--- a/data/hfopenllm_v2/alibaba/YOYO-AI/ZYH-LLM-Qwen2.5-14B-V4/f5b253b5-4c42-49f8-9f3f-d85a5b2502c0.json
+++ /dev/null
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diff --git a/data/hfopenllm_v2/alibaba/YOYO-AI/ZYH-LLM-Qwen2.5-14B/2dd14fef-53f5-491d-a5e1-7e19f6043049.json b/data/hfopenllm_v2/alibaba/YOYO-AI/ZYH-LLM-Qwen2.5-14B/2dd14fef-53f5-491d-a5e1-7e19f6043049.json
deleted file mode 100644
index 7ccf05708..000000000
--- a/data/hfopenllm_v2/alibaba/YOYO-AI/ZYH-LLM-Qwen2.5-14B/2dd14fef-53f5-491d-a5e1-7e19f6043049.json
+++ /dev/null
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diff --git a/data/hfopenllm_v2/alibaba/YoungPanda/qwenqwen/7e4c528f-bb42-40e7-b849-86732d2f2a18.json b/data/hfopenllm_v2/alibaba/YoungPanda/qwenqwen/7e4c528f-bb42-40e7-b849-86732d2f2a18.json
deleted file mode 100644
index 53a59e2e0..000000000
--- a/data/hfopenllm_v2/alibaba/YoungPanda/qwenqwen/7e4c528f-bb42-40e7-b849-86732d2f2a18.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/alibaba/ZeroXClem/Qwen-2.5-Aether-SlerpFusion-7B/8b61e7aa-3ba3-4e25-b1bf-9718970a111a.json b/data/hfopenllm_v2/alibaba/ZeroXClem/Qwen-2.5-Aether-SlerpFusion-7B/8b61e7aa-3ba3-4e25-b1bf-9718970a111a.json
deleted file mode 100644
index 84c1560c9..000000000
--- a/data/hfopenllm_v2/alibaba/ZeroXClem/Qwen-2.5-Aether-SlerpFusion-7B/8b61e7aa-3ba3-4e25-b1bf-9718970a111a.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/alibaba/ZeroXClem/Qwen2.5-7B-CelestialHarmony-1M/d912a685-7187-4b56-a7a8-881ed678ae2f.json b/data/hfopenllm_v2/alibaba/ZeroXClem/Qwen2.5-7B-CelestialHarmony-1M/d912a685-7187-4b56-a7a8-881ed678ae2f.json
deleted file mode 100644
index 769841aec..000000000
--- a/data/hfopenllm_v2/alibaba/ZeroXClem/Qwen2.5-7B-CelestialHarmony-1M/d912a685-7187-4b56-a7a8-881ed678ae2f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/ZeroXClem/Qwen2.5-7B-HomerAnvita-NerdMix/500a7a12-9c94-4ed8-b2b4-33473141c3c7.json b/data/hfopenllm_v2/alibaba/ZeroXClem/Qwen2.5-7B-HomerAnvita-NerdMix/500a7a12-9c94-4ed8-b2b4-33473141c3c7.json
deleted file mode 100644
index 13ef5e1e8..000000000
--- a/data/hfopenllm_v2/alibaba/ZeroXClem/Qwen2.5-7B-HomerAnvita-NerdMix/500a7a12-9c94-4ed8-b2b4-33473141c3c7.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/ZeroXClem/Qwen2.5-7B-HomerCreative-Mix/336aaa71-3f35-48f3-bede-cb9ab3324cfc.json b/data/hfopenllm_v2/alibaba/ZeroXClem/Qwen2.5-7B-HomerCreative-Mix/336aaa71-3f35-48f3-bede-cb9ab3324cfc.json
deleted file mode 100644
index 6852acf30..000000000
--- a/data/hfopenllm_v2/alibaba/ZeroXClem/Qwen2.5-7B-HomerCreative-Mix/336aaa71-3f35-48f3-bede-cb9ab3324cfc.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/ZeroXClem/Qwen2.5-7B-Qandora-CySec/7a495a80-f712-477b-bd5c-0cf7a07e8ef2.json b/data/hfopenllm_v2/alibaba/ZeroXClem/Qwen2.5-7B-Qandora-CySec/7a495a80-f712-477b-bd5c-0cf7a07e8ef2.json
deleted file mode 100644
index 6f16ae527..000000000
--- a/data/hfopenllm_v2/alibaba/ZeroXClem/Qwen2.5-7B-Qandora-CySec/7a495a80-f712-477b-bd5c-0cf7a07e8ef2.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/abacusai/Liberated-Qwen1.5-14B/614f3e27-e150-4edb-9438-06d0b0f38ca3.json b/data/hfopenllm_v2/alibaba/abacusai/Liberated-Qwen1.5-14B/614f3e27-e150-4edb-9438-06d0b0f38ca3.json
deleted file mode 100644
index 4701b37eb..000000000
--- a/data/hfopenllm_v2/alibaba/abacusai/Liberated-Qwen1.5-14B/614f3e27-e150-4edb-9438-06d0b0f38ca3.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/adriszmar/QAIMath-Qwen2.5-7B-TIES/457f0bc3-68e1-4ecb-a983-5f504b1246cd.json b/data/hfopenllm_v2/alibaba/adriszmar/QAIMath-Qwen2.5-7B-TIES/457f0bc3-68e1-4ecb-a983-5f504b1246cd.json
deleted file mode 100644
index 69ac14bd9..000000000
--- a/data/hfopenllm_v2/alibaba/adriszmar/QAIMath-Qwen2.5-7B-TIES/457f0bc3-68e1-4ecb-a983-5f504b1246cd.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/adriszmar/QAIMath-Qwen2.5-7B-TIES/78544e05-7eed-465d-9199-35b25e1bebfe.json b/data/hfopenllm_v2/alibaba/adriszmar/QAIMath-Qwen2.5-7B-TIES/78544e05-7eed-465d-9199-35b25e1bebfe.json
deleted file mode 100644
index 4f5ee3d32..000000000
--- a/data/hfopenllm_v2/alibaba/adriszmar/QAIMath-Qwen2.5-7B-TIES/78544e05-7eed-465d-9199-35b25e1bebfe.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/allknowingroger/Qwen2.5-42B-AGI/de6fe2ab-47de-4616-a0b9-b2cb6f44b16b.json b/data/hfopenllm_v2/alibaba/allknowingroger/Qwen2.5-42B-AGI/de6fe2ab-47de-4616-a0b9-b2cb6f44b16b.json
deleted file mode 100644
index fadc02814..000000000
--- a/data/hfopenllm_v2/alibaba/allknowingroger/Qwen2.5-42B-AGI/de6fe2ab-47de-4616-a0b9-b2cb6f44b16b.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/allknowingroger/Qwen2.5-7B-task2/3518e992-9548-4025-a641-99a2cf3833e4.json b/data/hfopenllm_v2/alibaba/allknowingroger/Qwen2.5-7B-task2/3518e992-9548-4025-a641-99a2cf3833e4.json
deleted file mode 100644
index 86d6028e9..000000000
--- a/data/hfopenllm_v2/alibaba/allknowingroger/Qwen2.5-7B-task2/3518e992-9548-4025-a641-99a2cf3833e4.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/allknowingroger/Qwen2.5-7B-task3/0c556e08-bb71-406c-88b8-d45fc4cc43f0.json b/data/hfopenllm_v2/alibaba/allknowingroger/Qwen2.5-7B-task3/0c556e08-bb71-406c-88b8-d45fc4cc43f0.json
deleted file mode 100644
index e1a5cff11..000000000
--- a/data/hfopenllm_v2/alibaba/allknowingroger/Qwen2.5-7B-task3/0c556e08-bb71-406c-88b8-d45fc4cc43f0.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/allknowingroger/Qwen2.5-7B-task4/a200d34f-8ed0-4f1d-93e2-cff38b1811f9.json b/data/hfopenllm_v2/alibaba/allknowingroger/Qwen2.5-7B-task4/a200d34f-8ed0-4f1d-93e2-cff38b1811f9.json
deleted file mode 100644
index 43ba462a5..000000000
--- a/data/hfopenllm_v2/alibaba/allknowingroger/Qwen2.5-7B-task4/a200d34f-8ed0-4f1d-93e2-cff38b1811f9.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/allknowingroger/Qwen2.5-7B-task7/b5b02465-0d3f-4ccc-a104-174fcf53dc9a.json b/data/hfopenllm_v2/alibaba/allknowingroger/Qwen2.5-7B-task7/b5b02465-0d3f-4ccc-a104-174fcf53dc9a.json
deleted file mode 100644
index 2dc2d6cf7..000000000
--- a/data/hfopenllm_v2/alibaba/allknowingroger/Qwen2.5-7B-task7/b5b02465-0d3f-4ccc-a104-174fcf53dc9a.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/alibaba/allknowingroger/Qwen2.5-7B-task8/956640e9-97a3-4641-9ed0-a63831a8ee58.json b/data/hfopenllm_v2/alibaba/allknowingroger/Qwen2.5-7B-task8/956640e9-97a3-4641-9ed0-a63831a8ee58.json
deleted file mode 100644
index 99783d09c..000000000
--- a/data/hfopenllm_v2/alibaba/allknowingroger/Qwen2.5-7B-task8/956640e9-97a3-4641-9ed0-a63831a8ee58.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/allknowingroger/Qwen2.5-slerp-14B/ba80d36c-7688-40e8-8182-251c6b9e6b19.json b/data/hfopenllm_v2/alibaba/allknowingroger/Qwen2.5-slerp-14B/ba80d36c-7688-40e8-8182-251c6b9e6b19.json
deleted file mode 100644
index 378ed6179..000000000
--- a/data/hfopenllm_v2/alibaba/allknowingroger/Qwen2.5-slerp-14B/ba80d36c-7688-40e8-8182-251c6b9e6b19.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/allknowingroger/QwenSlerp12-7B/18c67de4-1518-44b6-b92f-b490e9d55877.json b/data/hfopenllm_v2/alibaba/allknowingroger/QwenSlerp12-7B/18c67de4-1518-44b6-b92f-b490e9d55877.json
deleted file mode 100644
index d8a1f9209..000000000
--- a/data/hfopenllm_v2/alibaba/allknowingroger/QwenSlerp12-7B/18c67de4-1518-44b6-b92f-b490e9d55877.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/allknowingroger/QwenSlerp4-14B/1393cab1-31aa-470c-bca1-53f99d7ea1e8.json b/data/hfopenllm_v2/alibaba/allknowingroger/QwenSlerp4-14B/1393cab1-31aa-470c-bca1-53f99d7ea1e8.json
deleted file mode 100644
index ec14e7356..000000000
--- a/data/hfopenllm_v2/alibaba/allknowingroger/QwenSlerp4-14B/1393cab1-31aa-470c-bca1-53f99d7ea1e8.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/allknowingroger/QwenSlerp5-14B/da7928ec-55b8-4d4b-9b9e-b40c5de7136b.json b/data/hfopenllm_v2/alibaba/allknowingroger/QwenSlerp5-14B/da7928ec-55b8-4d4b-9b9e-b40c5de7136b.json
deleted file mode 100644
index b92fc6656..000000000
--- a/data/hfopenllm_v2/alibaba/allknowingroger/QwenSlerp5-14B/da7928ec-55b8-4d4b-9b9e-b40c5de7136b.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/allknowingroger/QwenSlerp6-14B/5135513f-f255-412b-ab16-f0d613e4525e.json b/data/hfopenllm_v2/alibaba/allknowingroger/QwenSlerp6-14B/5135513f-f255-412b-ab16-f0d613e4525e.json
deleted file mode 100644
index 94bd11fdd..000000000
--- a/data/hfopenllm_v2/alibaba/allknowingroger/QwenSlerp6-14B/5135513f-f255-412b-ab16-f0d613e4525e.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/allknowingroger/QwenStock1-14B/95c86ae6-dcb7-4ed7-a82d-ce0b374cca0e.json b/data/hfopenllm_v2/alibaba/allknowingroger/QwenStock1-14B/95c86ae6-dcb7-4ed7-a82d-ce0b374cca0e.json
deleted file mode 100644
index 4d736833d..000000000
--- a/data/hfopenllm_v2/alibaba/allknowingroger/QwenStock1-14B/95c86ae6-dcb7-4ed7-a82d-ce0b374cca0e.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/allknowingroger/QwenStock2-14B/4a4c258b-2b03-4fad-a5e0-b623a25fb735.json b/data/hfopenllm_v2/alibaba/allknowingroger/QwenStock2-14B/4a4c258b-2b03-4fad-a5e0-b623a25fb735.json
deleted file mode 100644
index 76c3a8808..000000000
--- a/data/hfopenllm_v2/alibaba/allknowingroger/QwenStock2-14B/4a4c258b-2b03-4fad-a5e0-b623a25fb735.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/allknowingroger/QwenStock3-14B/2b3928ad-ab69-4e63-aa3c-e64dea7b5e6c.json b/data/hfopenllm_v2/alibaba/allknowingroger/QwenStock3-14B/2b3928ad-ab69-4e63-aa3c-e64dea7b5e6c.json
deleted file mode 100644
index f00811a90..000000000
--- a/data/hfopenllm_v2/alibaba/allknowingroger/QwenStock3-14B/2b3928ad-ab69-4e63-aa3c-e64dea7b5e6c.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/allknowingroger/Qwenslerp2-14B/636ed71e-3d86-4d5d-8b8d-3019f26261fc.json b/data/hfopenllm_v2/alibaba/allknowingroger/Qwenslerp2-14B/636ed71e-3d86-4d5d-8b8d-3019f26261fc.json
deleted file mode 100644
index 7414a937f..000000000
--- a/data/hfopenllm_v2/alibaba/allknowingroger/Qwenslerp2-14B/636ed71e-3d86-4d5d-8b8d-3019f26261fc.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/allknowingroger/Qwenslerp2-7B/a1e6f539-f5d7-4f57-b0da-4df7e5a86240.json b/data/hfopenllm_v2/alibaba/allknowingroger/Qwenslerp2-7B/a1e6f539-f5d7-4f57-b0da-4df7e5a86240.json
deleted file mode 100644
index e39d285a5..000000000
--- a/data/hfopenllm_v2/alibaba/allknowingroger/Qwenslerp2-7B/a1e6f539-f5d7-4f57-b0da-4df7e5a86240.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/alibaba/allknowingroger/Qwenslerp3-14B/06a2a807-3dbc-42c4-adec-4d6caa01cf74.json b/data/hfopenllm_v2/alibaba/allknowingroger/Qwenslerp3-14B/06a2a807-3dbc-42c4-adec-4d6caa01cf74.json
deleted file mode 100644
index 5871a2a14..000000000
--- a/data/hfopenllm_v2/alibaba/allknowingroger/Qwenslerp3-14B/06a2a807-3dbc-42c4-adec-4d6caa01cf74.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/allknowingroger/Qwenslerp3-7B/88727af1-7672-4ab5-9cc4-f56d286f3967.json b/data/hfopenllm_v2/alibaba/allknowingroger/Qwenslerp3-7B/88727af1-7672-4ab5-9cc4-f56d286f3967.json
deleted file mode 100644
index 32c433504..000000000
--- a/data/hfopenllm_v2/alibaba/allknowingroger/Qwenslerp3-7B/88727af1-7672-4ab5-9cc4-f56d286f3967.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/allknowingroger/Rombos-LLM-V2.5-Qwen-42b/619fde94-d095-4f5c-b36d-19a38b6a8109.json b/data/hfopenllm_v2/alibaba/allknowingroger/Rombos-LLM-V2.5-Qwen-42b/619fde94-d095-4f5c-b36d-19a38b6a8109.json
deleted file mode 100644
index 7b0db4d17..000000000
--- a/data/hfopenllm_v2/alibaba/allknowingroger/Rombos-LLM-V2.5-Qwen-42b/619fde94-d095-4f5c-b36d-19a38b6a8109.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/braindao/DeepSeek-R1-Distill-Qwen-1.5B-Blunt/d75b9105-a60d-49d9-8606-7b23ff5d3d1a.json b/data/hfopenllm_v2/alibaba/braindao/DeepSeek-R1-Distill-Qwen-1.5B-Blunt/d75b9105-a60d-49d9-8606-7b23ff5d3d1a.json
deleted file mode 100644
index d990c22a4..000000000
--- a/data/hfopenllm_v2/alibaba/braindao/DeepSeek-R1-Distill-Qwen-1.5B-Blunt/d75b9105-a60d-49d9-8606-7b23ff5d3d1a.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/braindao/DeepSeek-R1-Distill-Qwen-1.5B-Reflective/40933520-61e0-4cbe-b6b2-b4d19063a1b9.json b/data/hfopenllm_v2/alibaba/braindao/DeepSeek-R1-Distill-Qwen-1.5B-Reflective/40933520-61e0-4cbe-b6b2-b4d19063a1b9.json
deleted file mode 100644
index afeba1e5f..000000000
--- a/data/hfopenllm_v2/alibaba/braindao/DeepSeek-R1-Distill-Qwen-1.5B-Reflective/40933520-61e0-4cbe-b6b2-b4d19063a1b9.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/braindao/DeepSeek-R1-Distill-Qwen-14B-ABUB-ST/46a36382-df06-4dc1-93ae-6ae61343a969.json b/data/hfopenllm_v2/alibaba/braindao/DeepSeek-R1-Distill-Qwen-14B-ABUB-ST/46a36382-df06-4dc1-93ae-6ae61343a969.json
deleted file mode 100644
index b75803e23..000000000
--- a/data/hfopenllm_v2/alibaba/braindao/DeepSeek-R1-Distill-Qwen-14B-ABUB-ST/46a36382-df06-4dc1-93ae-6ae61343a969.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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deleted file mode 100644
index 2c412e9c9..000000000
--- a/data/hfopenllm_v2/alibaba/braindao/DeepSeek-R1-Distill-Qwen-14B-Blunt-Uncensored-Blunt-Reflective/269f307e-3af1-47a2-92ec-00a59b4725ac.json
+++ /dev/null
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diff --git a/data/hfopenllm_v2/alibaba/braindao/DeepSeek-R1-Distill-Qwen-14B-Blunt-Uncensored-Blunt/244417b6-88a2-483f-adba-c1d944c9cc29.json b/data/hfopenllm_v2/alibaba/braindao/DeepSeek-R1-Distill-Qwen-14B-Blunt-Uncensored-Blunt/244417b6-88a2-483f-adba-c1d944c9cc29.json
deleted file mode 100644
index e9e8e4dcd..000000000
--- a/data/hfopenllm_v2/alibaba/braindao/DeepSeek-R1-Distill-Qwen-14B-Blunt-Uncensored-Blunt/244417b6-88a2-483f-adba-c1d944c9cc29.json
+++ /dev/null
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diff --git a/data/hfopenllm_v2/alibaba/braindao/DeepSeek-R1-Distill-Qwen-14B-Blunt-Uncensored-Reflective/1bf5eb2a-c0e2-4bfc-9ae1-ec5737974cbe.json b/data/hfopenllm_v2/alibaba/braindao/DeepSeek-R1-Distill-Qwen-14B-Blunt-Uncensored-Reflective/1bf5eb2a-c0e2-4bfc-9ae1-ec5737974cbe.json
deleted file mode 100644
index c51c3b998..000000000
--- a/data/hfopenllm_v2/alibaba/braindao/DeepSeek-R1-Distill-Qwen-14B-Blunt-Uncensored-Reflective/1bf5eb2a-c0e2-4bfc-9ae1-ec5737974cbe.json
+++ /dev/null
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diff --git a/data/hfopenllm_v2/alibaba/braindao/DeepSeek-R1-Distill-Qwen-14B-Blunt-Uncensored/41186ba2-77da-496c-afd0-c0f11ea05c9b.json b/data/hfopenllm_v2/alibaba/braindao/DeepSeek-R1-Distill-Qwen-14B-Blunt-Uncensored/41186ba2-77da-496c-afd0-c0f11ea05c9b.json
deleted file mode 100644
index eaeefee0b..000000000
--- a/data/hfopenllm_v2/alibaba/braindao/DeepSeek-R1-Distill-Qwen-14B-Blunt-Uncensored/41186ba2-77da-496c-afd0-c0f11ea05c9b.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/braindao/DeepSeek-R1-Distill-Qwen-14B-Blunt/407adfd5-6a1f-420a-a5de-2e37740d7025.json b/data/hfopenllm_v2/alibaba/braindao/DeepSeek-R1-Distill-Qwen-14B-Blunt/407adfd5-6a1f-420a-a5de-2e37740d7025.json
deleted file mode 100644
index faf1cf1be..000000000
--- a/data/hfopenllm_v2/alibaba/braindao/DeepSeek-R1-Distill-Qwen-14B-Blunt/407adfd5-6a1f-420a-a5de-2e37740d7025.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/braindao/DeepSeek-R1-Distill-Qwen-14B-Reflective/744cef52-b155-4bb0-9411-2eb47938b5d6.json b/data/hfopenllm_v2/alibaba/braindao/DeepSeek-R1-Distill-Qwen-14B-Reflective/744cef52-b155-4bb0-9411-2eb47938b5d6.json
deleted file mode 100644
index 7e51598ce..000000000
--- a/data/hfopenllm_v2/alibaba/braindao/DeepSeek-R1-Distill-Qwen-14B-Reflective/744cef52-b155-4bb0-9411-2eb47938b5d6.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/braindao/DeepSeek-R1-Distill-Qwen-14B/f269f0cb-4f9b-4f29-84c2-a4f31ff08290.json b/data/hfopenllm_v2/alibaba/braindao/DeepSeek-R1-Distill-Qwen-14B/f269f0cb-4f9b-4f29-84c2-a4f31ff08290.json
deleted file mode 100644
index f79976d6e..000000000
--- a/data/hfopenllm_v2/alibaba/braindao/DeepSeek-R1-Distill-Qwen-14B/f269f0cb-4f9b-4f29-84c2-a4f31ff08290.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/alibaba/braindao/DeepSeek-R1-Distill-Qwen-7B-Blunt/678a08d8-3089-4d97-879d-c5485344de05.json b/data/hfopenllm_v2/alibaba/braindao/DeepSeek-R1-Distill-Qwen-7B-Blunt/678a08d8-3089-4d97-879d-c5485344de05.json
deleted file mode 100644
index 2aef3e2d0..000000000
--- a/data/hfopenllm_v2/alibaba/braindao/DeepSeek-R1-Distill-Qwen-7B-Blunt/678a08d8-3089-4d97-879d-c5485344de05.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/alibaba/braindao/DeepSeek-R1-Distill-Qwen-7B-ORPO-Uncensored/9c8db160-fc92-473f-a766-fb00fc099f6e.json b/data/hfopenllm_v2/alibaba/braindao/DeepSeek-R1-Distill-Qwen-7B-ORPO-Uncensored/9c8db160-fc92-473f-a766-fb00fc099f6e.json
deleted file mode 100644
index 91830006f..000000000
--- a/data/hfopenllm_v2/alibaba/braindao/DeepSeek-R1-Distill-Qwen-7B-ORPO-Uncensored/9c8db160-fc92-473f-a766-fb00fc099f6e.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/braindao/DeepSeek-R1-Distill-Qwen-7B-Reflective/fd05a73b-5b6a-460e-85d5-547710ab6bac.json b/data/hfopenllm_v2/alibaba/braindao/DeepSeek-R1-Distill-Qwen-7B-Reflective/fd05a73b-5b6a-460e-85d5-547710ab6bac.json
deleted file mode 100644
index 77b673acb..000000000
--- a/data/hfopenllm_v2/alibaba/braindao/DeepSeek-R1-Distill-Qwen-7B-Reflective/fd05a73b-5b6a-460e-85d5-547710ab6bac.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/braindao/DeepSeek-R1-Distill-Qwen-7B/b4c9ec76-b126-4715-b3cf-c0d8a8a61d44.json b/data/hfopenllm_v2/alibaba/braindao/DeepSeek-R1-Distill-Qwen-7B/b4c9ec76-b126-4715-b3cf-c0d8a8a61d44.json
deleted file mode 100644
index ea9b15819..000000000
--- a/data/hfopenllm_v2/alibaba/braindao/DeepSeek-R1-Distill-Qwen-7B/b4c9ec76-b126-4715-b3cf-c0d8a8a61d44.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/alibaba/braindao/Qwen2.5-14B/7be8016c-2454-4228-b10d-badba12e845b.json b/data/hfopenllm_v2/alibaba/braindao/Qwen2.5-14B/7be8016c-2454-4228-b10d-badba12e845b.json
deleted file mode 100644
index 8d921d66f..000000000
--- a/data/hfopenllm_v2/alibaba/braindao/Qwen2.5-14B/7be8016c-2454-4228-b10d-badba12e845b.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/bunnycore/CyberCore-Qwen-2.1-7B/131132b7-5b2a-421f-aa02-360ef9b7f206.json b/data/hfopenllm_v2/alibaba/bunnycore/CyberCore-Qwen-2.1-7B/131132b7-5b2a-421f-aa02-360ef9b7f206.json
deleted file mode 100644
index d9e6b0e41..000000000
--- a/data/hfopenllm_v2/alibaba/bunnycore/CyberCore-Qwen-2.1-7B/131132b7-5b2a-421f-aa02-360ef9b7f206.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/bunnycore/DeepQwen-3B-LCoT-SCE/49243e70-a24d-4e0c-b4c6-4275be1db944.json b/data/hfopenllm_v2/alibaba/bunnycore/DeepQwen-3B-LCoT-SCE/49243e70-a24d-4e0c-b4c6-4275be1db944.json
deleted file mode 100644
index 99f99d0e3..000000000
--- a/data/hfopenllm_v2/alibaba/bunnycore/DeepQwen-3B-LCoT-SCE/49243e70-a24d-4e0c-b4c6-4275be1db944.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/bunnycore/DeepSeek-R1-Distill-Qwen-7B-RRP-Ex/7e6a55fb-da39-4b16-a59b-70635e636c02.json b/data/hfopenllm_v2/alibaba/bunnycore/DeepSeek-R1-Distill-Qwen-7B-RRP-Ex/7e6a55fb-da39-4b16-a59b-70635e636c02.json
deleted file mode 100644
index d5a01b9ac..000000000
--- a/data/hfopenllm_v2/alibaba/bunnycore/DeepSeek-R1-Distill-Qwen-7B-RRP-Ex/7e6a55fb-da39-4b16-a59b-70635e636c02.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/bunnycore/FwF-Qwen-7B-0.1/bfaeefb1-93c9-470b-9376-9c67a1d20862.json b/data/hfopenllm_v2/alibaba/bunnycore/FwF-Qwen-7B-0.1/bfaeefb1-93c9-470b-9376-9c67a1d20862.json
deleted file mode 100644
index 1547e170d..000000000
--- a/data/hfopenllm_v2/alibaba/bunnycore/FwF-Qwen-7B-0.1/bfaeefb1-93c9-470b-9376-9c67a1d20862.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/bunnycore/FwF-Qwen-7B-0.2/ee7b9254-5e4a-46a0-a8b3-2ecc1708e6ab.json b/data/hfopenllm_v2/alibaba/bunnycore/FwF-Qwen-7B-0.2/ee7b9254-5e4a-46a0-a8b3-2ecc1708e6ab.json
deleted file mode 100644
index 7007e2419..000000000
--- a/data/hfopenllm_v2/alibaba/bunnycore/FwF-Qwen-7B-0.2/ee7b9254-5e4a-46a0-a8b3-2ecc1708e6ab.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/alibaba/bunnycore/Qwen-2.5-7B-Deep-Sky-T1/33cc8f90-d019-49d9-8220-d66260659435.json b/data/hfopenllm_v2/alibaba/bunnycore/Qwen-2.5-7B-Deep-Sky-T1/33cc8f90-d019-49d9-8220-d66260659435.json
deleted file mode 100644
index 46401827a..000000000
--- a/data/hfopenllm_v2/alibaba/bunnycore/Qwen-2.5-7B-Deep-Sky-T1/33cc8f90-d019-49d9-8220-d66260659435.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/bunnycore/Qwen-2.5-7B-Deep-Stock-v1/a9fe98a7-e143-4100-99cd-adea90917c4c.json b/data/hfopenllm_v2/alibaba/bunnycore/Qwen-2.5-7B-Deep-Stock-v1/a9fe98a7-e143-4100-99cd-adea90917c4c.json
deleted file mode 100644
index 706fe0124..000000000
--- a/data/hfopenllm_v2/alibaba/bunnycore/Qwen-2.5-7B-Deep-Stock-v1/a9fe98a7-e143-4100-99cd-adea90917c4c.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/bunnycore/Qwen-2.5-7B-Deep-Stock-v4/56ae78dc-3cae-43b0-afc9-e6fac3c6556a.json b/data/hfopenllm_v2/alibaba/bunnycore/Qwen-2.5-7B-Deep-Stock-v4/56ae78dc-3cae-43b0-afc9-e6fac3c6556a.json
deleted file mode 100644
index b3885b5e0..000000000
--- a/data/hfopenllm_v2/alibaba/bunnycore/Qwen-2.5-7B-Deep-Stock-v4/56ae78dc-3cae-43b0-afc9-e6fac3c6556a.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/bunnycore/Qwen-2.5-7B-Deep-Stock-v5/39ce157b-e374-4963-8b40-6393835574f5.json b/data/hfopenllm_v2/alibaba/bunnycore/Qwen-2.5-7B-Deep-Stock-v5/39ce157b-e374-4963-8b40-6393835574f5.json
deleted file mode 100644
index edf2f9356..000000000
--- a/data/hfopenllm_v2/alibaba/bunnycore/Qwen-2.5-7B-Deep-Stock-v5/39ce157b-e374-4963-8b40-6393835574f5.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/bunnycore/Qwen-2.5-7B-Exp-Sce/c57286a9-ee0c-48e7-814e-8f2aa8e9688a.json b/data/hfopenllm_v2/alibaba/bunnycore/Qwen-2.5-7B-Exp-Sce/c57286a9-ee0c-48e7-814e-8f2aa8e9688a.json
deleted file mode 100644
index f6ae8087c..000000000
--- a/data/hfopenllm_v2/alibaba/bunnycore/Qwen-2.5-7B-Exp-Sce/c57286a9-ee0c-48e7-814e-8f2aa8e9688a.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/bunnycore/Qwen-2.5-7B-R1-Stock/672e66ed-80e2-4b45-b52c-d9265f8efac8.json b/data/hfopenllm_v2/alibaba/bunnycore/Qwen-2.5-7B-R1-Stock/672e66ed-80e2-4b45-b52c-d9265f8efac8.json
deleted file mode 100644
index e085cc7bd..000000000
--- a/data/hfopenllm_v2/alibaba/bunnycore/Qwen-2.5-7B-R1-Stock/672e66ed-80e2-4b45-b52c-d9265f8efac8.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/bunnycore/Qwen-2.5-7B-Stock-Deep-Bespoke/af89079b-b84e-48f1-876a-ebf2d933d91e.json b/data/hfopenllm_v2/alibaba/bunnycore/Qwen-2.5-7B-Stock-Deep-Bespoke/af89079b-b84e-48f1-876a-ebf2d933d91e.json
deleted file mode 100644
index 4ee229033..000000000
--- a/data/hfopenllm_v2/alibaba/bunnycore/Qwen-2.5-7B-Stock-Deep-Bespoke/af89079b-b84e-48f1-876a-ebf2d933d91e.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/bunnycore/Qwen-2.5-7b-S1k/e7394d5d-4253-4a53-8a0a-73b0a41e62a4.json b/data/hfopenllm_v2/alibaba/bunnycore/Qwen-2.5-7b-S1k/e7394d5d-4253-4a53-8a0a-73b0a41e62a4.json
deleted file mode 100644
index adfc840c7..000000000
--- a/data/hfopenllm_v2/alibaba/bunnycore/Qwen-2.5-7b-S1k/e7394d5d-4253-4a53-8a0a-73b0a41e62a4.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/bunnycore/Qwen2.5-1.5B-Model-Stock/865ffa1b-af08-416e-8de0-a16091d4ec79.json b/data/hfopenllm_v2/alibaba/bunnycore/Qwen2.5-1.5B-Model-Stock/865ffa1b-af08-416e-8de0-a16091d4ec79.json
deleted file mode 100644
index 75b2b1a58..000000000
--- a/data/hfopenllm_v2/alibaba/bunnycore/Qwen2.5-1.5B-Model-Stock/865ffa1b-af08-416e-8de0-a16091d4ec79.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/bunnycore/Qwen2.5-3B-Model-Stock-v2/e949a47b-85f9-4072-8302-8bfef92579d9.json b/data/hfopenllm_v2/alibaba/bunnycore/Qwen2.5-3B-Model-Stock-v2/e949a47b-85f9-4072-8302-8bfef92579d9.json
deleted file mode 100644
index efd52718b..000000000
--- a/data/hfopenllm_v2/alibaba/bunnycore/Qwen2.5-3B-Model-Stock-v2/e949a47b-85f9-4072-8302-8bfef92579d9.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/bunnycore/Qwen2.5-3B-Model-Stock-v3.1/744d1978-7aa3-44b6-91a0-664383a66f8b.json b/data/hfopenllm_v2/alibaba/bunnycore/Qwen2.5-3B-Model-Stock-v3.1/744d1978-7aa3-44b6-91a0-664383a66f8b.json
deleted file mode 100644
index 7ad15c8ad..000000000
--- a/data/hfopenllm_v2/alibaba/bunnycore/Qwen2.5-3B-Model-Stock-v3.1/744d1978-7aa3-44b6-91a0-664383a66f8b.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/bunnycore/Qwen2.5-3B-Model-Stock-v3.2/139f2e38-0b98-4bfe-82b0-99a6e6b51e7f.json b/data/hfopenllm_v2/alibaba/bunnycore/Qwen2.5-3B-Model-Stock-v3.2/139f2e38-0b98-4bfe-82b0-99a6e6b51e7f.json
deleted file mode 100644
index f6639ff1a..000000000
--- a/data/hfopenllm_v2/alibaba/bunnycore/Qwen2.5-3B-Model-Stock-v3.2/139f2e38-0b98-4bfe-82b0-99a6e6b51e7f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/bunnycore/Qwen2.5-3B-Model-Stock-v4.1/8348f83b-0739-411f-8b87-bd9d5e871ab3.json b/data/hfopenllm_v2/alibaba/bunnycore/Qwen2.5-3B-Model-Stock-v4.1/8348f83b-0739-411f-8b87-bd9d5e871ab3.json
deleted file mode 100644
index 33bcd9adb..000000000
--- a/data/hfopenllm_v2/alibaba/bunnycore/Qwen2.5-3B-Model-Stock-v4.1/8348f83b-0739-411f-8b87-bd9d5e871ab3.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/alibaba/bunnycore/Qwen2.5-3B-Model-Stock/4dcf1412-4182-40bd-bd1a-2246e29f18e9.json b/data/hfopenllm_v2/alibaba/bunnycore/Qwen2.5-3B-Model-Stock/4dcf1412-4182-40bd-bd1a-2246e29f18e9.json
deleted file mode 100644
index 301d48883..000000000
--- a/data/hfopenllm_v2/alibaba/bunnycore/Qwen2.5-3B-Model-Stock/4dcf1412-4182-40bd-bd1a-2246e29f18e9.json
+++ /dev/null
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deleted file mode 100644
index 2984490a2..000000000
--- a/data/hfopenllm_v2/alibaba/bunnycore/Qwen2.5-3B-RP-Mix/f43b9387-56a9-4c21-850c-5cfda84fc8b5.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/alibaba/bunnycore/Qwen2.5-3B-RP-Thinker-V2/497c8c15-1b77-4468-b33d-efa190c28e78.json b/data/hfopenllm_v2/alibaba/bunnycore/Qwen2.5-3B-RP-Thinker-V2/497c8c15-1b77-4468-b33d-efa190c28e78.json
deleted file mode 100644
index c13735c51..000000000
--- a/data/hfopenllm_v2/alibaba/bunnycore/Qwen2.5-3B-RP-Thinker-V2/497c8c15-1b77-4468-b33d-efa190c28e78.json
+++ /dev/null
@@ -1,105 +0,0 @@
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deleted file mode 100644
index 4e3b25323..000000000
--- a/data/hfopenllm_v2/alibaba/bunnycore/Qwen2.5-3B-RP-Thinker/80cadd5b-ebbd-4f2f-912b-5d944650e2b1.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/alibaba/bunnycore/Qwen2.5-7B-CyberRombos/1dc11c68-ce65-4a5b-9f75-4cdf1775bfc6.json b/data/hfopenllm_v2/alibaba/bunnycore/Qwen2.5-7B-CyberRombos/1dc11c68-ce65-4a5b-9f75-4cdf1775bfc6.json
deleted file mode 100644
index 8460e3f13..000000000
--- a/data/hfopenllm_v2/alibaba/bunnycore/Qwen2.5-7B-CyberRombos/1dc11c68-ce65-4a5b-9f75-4cdf1775bfc6.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/bunnycore/Qwen2.5-7B-Fuse-Exp/f435a5b0-cc12-4603-b7b0-4625dc547ed2.json b/data/hfopenllm_v2/alibaba/bunnycore/Qwen2.5-7B-Fuse-Exp/f435a5b0-cc12-4603-b7b0-4625dc547ed2.json
deleted file mode 100644
index 5621353e6..000000000
--- a/data/hfopenllm_v2/alibaba/bunnycore/Qwen2.5-7B-Fuse-Exp/f435a5b0-cc12-4603-b7b0-4625dc547ed2.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/bunnycore/Qwen2.5-7B-MixStock-Sce-V0.3/daf38e27-1149-44a8-84f2-93f842f4740a.json b/data/hfopenllm_v2/alibaba/bunnycore/Qwen2.5-7B-MixStock-Sce-V0.3/daf38e27-1149-44a8-84f2-93f842f4740a.json
deleted file mode 100644
index 53b193db4..000000000
--- a/data/hfopenllm_v2/alibaba/bunnycore/Qwen2.5-7B-MixStock-Sce-V0.3/daf38e27-1149-44a8-84f2-93f842f4740a.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/bunnycore/Qwen2.5-7B-MixStock-V0.1/4a5bb50c-017d-421d-8ea1-21a8316db0f4.json b/data/hfopenllm_v2/alibaba/bunnycore/Qwen2.5-7B-MixStock-V0.1/4a5bb50c-017d-421d-8ea1-21a8316db0f4.json
deleted file mode 100644
index 57bb4884b..000000000
--- a/data/hfopenllm_v2/alibaba/bunnycore/Qwen2.5-7B-MixStock-V0.1/4a5bb50c-017d-421d-8ea1-21a8316db0f4.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/bunnycore/Qwen2.5-7B-R1-Bespoke-Stock/20de3a0f-fad0-4832-863e-2b2049037c4f.json b/data/hfopenllm_v2/alibaba/bunnycore/Qwen2.5-7B-R1-Bespoke-Stock/20de3a0f-fad0-4832-863e-2b2049037c4f.json
deleted file mode 100644
index 77a4c8d57..000000000
--- a/data/hfopenllm_v2/alibaba/bunnycore/Qwen2.5-7B-R1-Bespoke-Stock/20de3a0f-fad0-4832-863e-2b2049037c4f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/bunnycore/Qwen2.5-7B-R1-Bespoke-Task/0f460b31-7249-4e2d-a614-d1230e95f3cf.json b/data/hfopenllm_v2/alibaba/bunnycore/Qwen2.5-7B-R1-Bespoke-Task/0f460b31-7249-4e2d-a614-d1230e95f3cf.json
deleted file mode 100644
index 4b890188d..000000000
--- a/data/hfopenllm_v2/alibaba/bunnycore/Qwen2.5-7B-R1-Bespoke-Task/0f460b31-7249-4e2d-a614-d1230e95f3cf.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/bunnycore/Qwen2.5-7B-RRP-1M-Thinker/1879a765-f4ab-4bad-9525-47f428b43220.json b/data/hfopenllm_v2/alibaba/bunnycore/Qwen2.5-7B-RRP-1M-Thinker/1879a765-f4ab-4bad-9525-47f428b43220.json
deleted file mode 100644
index b439867ff..000000000
--- a/data/hfopenllm_v2/alibaba/bunnycore/Qwen2.5-7B-RRP-1M-Thinker/1879a765-f4ab-4bad-9525-47f428b43220.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/bunnycore/Qwen2.5-7B-RRP-1M/9ec2ac0c-21e8-4c9c-ba5f-69ad284400bb.json b/data/hfopenllm_v2/alibaba/bunnycore/Qwen2.5-7B-RRP-1M/9ec2ac0c-21e8-4c9c-ba5f-69ad284400bb.json
deleted file mode 100644
index afa81e203..000000000
--- a/data/hfopenllm_v2/alibaba/bunnycore/Qwen2.5-7B-RRP-1M/9ec2ac0c-21e8-4c9c-ba5f-69ad284400bb.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/bunnycore/Qwen2.5-7B-RRP-ID/85b10038-d136-4be7-8e04-7298ddb4f7d2.json b/data/hfopenllm_v2/alibaba/bunnycore/Qwen2.5-7B-RRP-ID/85b10038-d136-4be7-8e04-7298ddb4f7d2.json
deleted file mode 100644
index 740f1196a..000000000
--- a/data/hfopenllm_v2/alibaba/bunnycore/Qwen2.5-7B-RRP-ID/85b10038-d136-4be7-8e04-7298ddb4f7d2.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/bunnycore/Qwen2.5-7B-Sky-R1-Mini/c1f39d51-d7a2-4fee-ba35-ef4e0d429b29.json b/data/hfopenllm_v2/alibaba/bunnycore/Qwen2.5-7B-Sky-R1-Mini/c1f39d51-d7a2-4fee-ba35-ef4e0d429b29.json
deleted file mode 100644
index d4a828c46..000000000
--- a/data/hfopenllm_v2/alibaba/bunnycore/Qwen2.5-7B-Sky-R1-Mini/c1f39d51-d7a2-4fee-ba35-ef4e0d429b29.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/bunnycore/QwenMosaic-7B/4fcee29d-6351-4875-995d-81834fd878c3.json b/data/hfopenllm_v2/alibaba/bunnycore/QwenMosaic-7B/4fcee29d-6351-4875-995d-81834fd878c3.json
deleted file mode 100644
index bc7bdf0a5..000000000
--- a/data/hfopenllm_v2/alibaba/bunnycore/QwenMosaic-7B/4fcee29d-6351-4875-995d-81834fd878c3.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/cognitivecomputations/Dolphin3.0-Qwen2.5-0.5B/4b0c69d9-1801-4a54-9554-d8dcff88f9a3.json b/data/hfopenllm_v2/alibaba/cognitivecomputations/Dolphin3.0-Qwen2.5-0.5B/4b0c69d9-1801-4a54-9554-d8dcff88f9a3.json
deleted file mode 100644
index 086a94353..000000000
--- a/data/hfopenllm_v2/alibaba/cognitivecomputations/Dolphin3.0-Qwen2.5-0.5B/4b0c69d9-1801-4a54-9554-d8dcff88f9a3.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/cognitivecomputations/dolphin-2.9.2-qwen2-72b/5d3c9637-0558-4a2e-9950-8e7017d013f8.json b/data/hfopenllm_v2/alibaba/cognitivecomputations/dolphin-2.9.2-qwen2-72b/5d3c9637-0558-4a2e-9950-8e7017d013f8.json
deleted file mode 100644
index b4319ddbe..000000000
--- a/data/hfopenllm_v2/alibaba/cognitivecomputations/dolphin-2.9.2-qwen2-72b/5d3c9637-0558-4a2e-9950-8e7017d013f8.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/cognitivecomputations/dolphin-2.9.2-qwen2-7b/c04e8c21-3ae1-457a-9609-682341323a88.json b/data/hfopenllm_v2/alibaba/cognitivecomputations/dolphin-2.9.2-qwen2-7b/c04e8c21-3ae1-457a-9609-682341323a88.json
deleted file mode 100644
index 17c662f57..000000000
--- a/data/hfopenllm_v2/alibaba/cognitivecomputations/dolphin-2.9.2-qwen2-7b/c04e8c21-3ae1-457a-9609-682341323a88.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/alibaba/deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B/d38f0e3a-e89e-4af6-95b2-8230b6a84ec3.json b/data/hfopenllm_v2/alibaba/deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B/d38f0e3a-e89e-4af6-95b2-8230b6a84ec3.json
deleted file mode 100644
index 0a295793b..000000000
--- a/data/hfopenllm_v2/alibaba/deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B/d38f0e3a-e89e-4af6-95b2-8230b6a84ec3.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/deepseek-ai/DeepSeek-R1-Distill-Qwen-14B/77e70ef3-fef2-4b75-9221-b165ec29f31e.json b/data/hfopenllm_v2/alibaba/deepseek-ai/DeepSeek-R1-Distill-Qwen-14B/77e70ef3-fef2-4b75-9221-b165ec29f31e.json
deleted file mode 100644
index 522c1bdb2..000000000
--- a/data/hfopenllm_v2/alibaba/deepseek-ai/DeepSeek-R1-Distill-Qwen-14B/77e70ef3-fef2-4b75-9221-b165ec29f31e.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/deepseek-ai/DeepSeek-R1-Distill-Qwen-32B/6731c6b8-0b23-4fc2-b284-01025ce30887.json b/data/hfopenllm_v2/alibaba/deepseek-ai/DeepSeek-R1-Distill-Qwen-32B/6731c6b8-0b23-4fc2-b284-01025ce30887.json
deleted file mode 100644
index ae0e4f509..000000000
--- a/data/hfopenllm_v2/alibaba/deepseek-ai/DeepSeek-R1-Distill-Qwen-32B/6731c6b8-0b23-4fc2-b284-01025ce30887.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/alibaba/deepseek-ai/DeepSeek-R1-Distill-Qwen-7B/4cb8eae2-bc55-4adb-a4eb-1fc9eb29d891.json b/data/hfopenllm_v2/alibaba/deepseek-ai/DeepSeek-R1-Distill-Qwen-7B/4cb8eae2-bc55-4adb-a4eb-1fc9eb29d891.json
deleted file mode 100644
index 498e6f5ff..000000000
--- a/data/hfopenllm_v2/alibaba/deepseek-ai/DeepSeek-R1-Distill-Qwen-7B/4cb8eae2-bc55-4adb-a4eb-1fc9eb29d891.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/dfurman/Qwen2-72B-Orpo-v0.1/b197728d-b390-45a8-8adc-ed8567b628da.json b/data/hfopenllm_v2/alibaba/dfurman/Qwen2-72B-Orpo-v0.1/b197728d-b390-45a8-8adc-ed8567b628da.json
deleted file mode 100644
index 6b58fac3e..000000000
--- a/data/hfopenllm_v2/alibaba/dfurman/Qwen2-72B-Orpo-v0.1/b197728d-b390-45a8-8adc-ed8567b628da.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/ehristoforu/QwenQwen2.5-7B-IT-Dare/09deb823-536f-4afc-95bf-ebb0a8eb2e00.json b/data/hfopenllm_v2/alibaba/ehristoforu/QwenQwen2.5-7B-IT-Dare/09deb823-536f-4afc-95bf-ebb0a8eb2e00.json
deleted file mode 100644
index 061fc0654..000000000
--- a/data/hfopenllm_v2/alibaba/ehristoforu/QwenQwen2.5-7B-IT-Dare/09deb823-536f-4afc-95bf-ebb0a8eb2e00.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/ehristoforu/QwenQwen2.5-7B-IT/30f8faa5-777f-47bc-b128-f31b950079a3.json b/data/hfopenllm_v2/alibaba/ehristoforu/QwenQwen2.5-7B-IT/30f8faa5-777f-47bc-b128-f31b950079a3.json
deleted file mode 100644
index 4469194b5..000000000
--- a/data/hfopenllm_v2/alibaba/ehristoforu/QwenQwen2.5-7B-IT/30f8faa5-777f-47bc-b128-f31b950079a3.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/ehristoforu/RQwen-v0.1/93187c79-f1a4-45f9-9d95-a254a185f7a4.json b/data/hfopenllm_v2/alibaba/ehristoforu/RQwen-v0.1/93187c79-f1a4-45f9-9d95-a254a185f7a4.json
deleted file mode 100644
index c56411932..000000000
--- a/data/hfopenllm_v2/alibaba/ehristoforu/RQwen-v0.1/93187c79-f1a4-45f9-9d95-a254a185f7a4.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/ehristoforu/RQwen-v0.2/69318100-73ee-47f4-96b2-6e7b310fbcd1.json b/data/hfopenllm_v2/alibaba/ehristoforu/RQwen-v0.2/69318100-73ee-47f4-96b2-6e7b310fbcd1.json
deleted file mode 100644
index a00a9f577..000000000
--- a/data/hfopenllm_v2/alibaba/ehristoforu/RQwen-v0.2/69318100-73ee-47f4-96b2-6e7b310fbcd1.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/ehristoforu/coolqwen-3b-it/5aab957b-f25b-4208-9bf8-2d16887245bc.json b/data/hfopenllm_v2/alibaba/ehristoforu/coolqwen-3b-it/5aab957b-f25b-4208-9bf8-2d16887245bc.json
deleted file mode 100644
index b60580a84..000000000
--- a/data/hfopenllm_v2/alibaba/ehristoforu/coolqwen-3b-it/5aab957b-f25b-4208-9bf8-2d16887245bc.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/ehristoforu_coolqwen-3b-it/1762652580.140961",
-  "retrieved_timestamp": "1762652580.1409621",
-  "source_data": [
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-    "developer": "alibaba",
-    "inference_platform": "unknown",
-    "id": "ehristoforu/coolqwen-3b-it",
-    "additional_details": {
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diff --git a/data/hfopenllm_v2/alibaba/ehristoforu/frqwen2.5-from7b-duable4layers-it/b2c0f0f2-3c1d-4b2a-a82d-24001cbfd3d7.json b/data/hfopenllm_v2/alibaba/ehristoforu/frqwen2.5-from7b-duable4layers-it/b2c0f0f2-3c1d-4b2a-a82d-24001cbfd3d7.json
deleted file mode 100644
index 34da75dbe..000000000
--- a/data/hfopenllm_v2/alibaba/ehristoforu/frqwen2.5-from7b-duable4layers-it/b2c0f0f2-3c1d-4b2a-a82d-24001cbfd3d7.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
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-  "retrieved_timestamp": "1762652580.1428769",
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-    "source_name": "HF Open LLM v2",
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-  "model_info": {
-    "name": "ehristoforu/frqwen2.5-from7b-duable4layers-it",
-    "developer": "alibaba",
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diff --git a/data/hfopenllm_v2/alibaba/ehristoforu/frqwen2.5-from7b-it/26034d5d-5d52-40d8-aa9b-e90dbd255903.json b/data/hfopenllm_v2/alibaba/ehristoforu/frqwen2.5-from7b-it/26034d5d-5d52-40d8-aa9b-e90dbd255903.json
deleted file mode 100644
index 62597e788..000000000
--- a/data/hfopenllm_v2/alibaba/ehristoforu/frqwen2.5-from7b-it/26034d5d-5d52-40d8-aa9b-e90dbd255903.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-    "developer": "alibaba",
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diff --git a/data/hfopenllm_v2/alibaba/ehristoforu/qwen2.5-test-32b-it/606d699f-c7ac-4e5b-b5a3-5bd43f0a3ff6.json b/data/hfopenllm_v2/alibaba/ehristoforu/qwen2.5-test-32b-it/606d699f-c7ac-4e5b-b5a3-5bd43f0a3ff6.json
deleted file mode 100644
index 309f403d6..000000000
--- a/data/hfopenllm_v2/alibaba/ehristoforu/qwen2.5-test-32b-it/606d699f-c7ac-4e5b-b5a3-5bd43f0a3ff6.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/ehristoforu/qwen2.5-with-lora-think-3b-it/6c40f966-753b-4301-8c9b-f7b4905c0b68.json b/data/hfopenllm_v2/alibaba/ehristoforu/qwen2.5-with-lora-think-3b-it/6c40f966-753b-4301-8c9b-f7b4905c0b68.json
deleted file mode 100644
index 058c5f97b..000000000
--- a/data/hfopenllm_v2/alibaba/ehristoforu/qwen2.5-with-lora-think-3b-it/6c40f966-753b-4301-8c9b-f7b4905c0b68.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-    "name": "ehristoforu/qwen2.5-with-lora-think-3b-it",
-    "developer": "alibaba",
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-    "id": "ehristoforu/qwen2.5-with-lora-think-3b-it",
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diff --git a/data/hfopenllm_v2/alibaba/freewheelin/free-evo-qwen72b-v0.8-re/cfb071af-7283-4155-8ce1-40f751dd46ec.json b/data/hfopenllm_v2/alibaba/freewheelin/free-evo-qwen72b-v0.8-re/cfb071af-7283-4155-8ce1-40f751dd46ec.json
deleted file mode 100644
index 540b7d147..000000000
--- a/data/hfopenllm_v2/alibaba/freewheelin/free-evo-qwen72b-v0.8-re/cfb071af-7283-4155-8ce1-40f751dd46ec.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
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-    "developer": "alibaba",
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diff --git a/data/hfopenllm_v2/alibaba/godlikehhd/ifd_2500_qwen/84ad6756-cb9d-4303-8e7a-395c1dc7c222.json b/data/hfopenllm_v2/alibaba/godlikehhd/ifd_2500_qwen/84ad6756-cb9d-4303-8e7a-395c1dc7c222.json
deleted file mode 100644
index 567bcc6cf..000000000
--- a/data/hfopenllm_v2/alibaba/godlikehhd/ifd_2500_qwen/84ad6756-cb9d-4303-8e7a-395c1dc7c222.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/godlikehhd/ifd_new_correct_all_sample_2500_qwen/b481d1bd-e678-4b78-aecb-d43a561dd969.json b/data/hfopenllm_v2/alibaba/godlikehhd/ifd_new_correct_all_sample_2500_qwen/b481d1bd-e678-4b78-aecb-d43a561dd969.json
deleted file mode 100644
index 19ff62fe7..000000000
--- a/data/hfopenllm_v2/alibaba/godlikehhd/ifd_new_correct_all_sample_2500_qwen/b481d1bd-e678-4b78-aecb-d43a561dd969.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/godlikehhd/ifd_new_correct_sample_2500_qwen/c42196be-c20b-413d-8870-f10759058098.json b/data/hfopenllm_v2/alibaba/godlikehhd/ifd_new_correct_sample_2500_qwen/c42196be-c20b-413d-8870-f10759058098.json
deleted file mode 100644
index c578732d3..000000000
--- a/data/hfopenllm_v2/alibaba/godlikehhd/ifd_new_correct_sample_2500_qwen/c42196be-c20b-413d-8870-f10759058098.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/godlikehhd/ifd_new_qwen_2500/8d8663a1-12f6-4e88-af3d-784ff86e8c59.json b/data/hfopenllm_v2/alibaba/godlikehhd/ifd_new_qwen_2500/8d8663a1-12f6-4e88-af3d-784ff86e8c59.json
deleted file mode 100644
index 428e5e9d5..000000000
--- a/data/hfopenllm_v2/alibaba/godlikehhd/ifd_new_qwen_2500/8d8663a1-12f6-4e88-af3d-784ff86e8c59.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/godlikehhd/qwen-2.5-1.5b-cherry/a0621e6d-4178-49c9-aa2b-f56930884b82.json b/data/hfopenllm_v2/alibaba/godlikehhd/qwen-2.5-1.5b-cherry/a0621e6d-4178-49c9-aa2b-f56930884b82.json
deleted file mode 100644
index 4af000851..000000000
--- a/data/hfopenllm_v2/alibaba/godlikehhd/qwen-2.5-1.5b-cherry/a0621e6d-4178-49c9-aa2b-f56930884b82.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/godlikehhd/qwen_2.5-1.5b-cherry_new/dd0260dd-59f7-4b3d-8f9c-60b297c07a1b.json b/data/hfopenllm_v2/alibaba/godlikehhd/qwen_2.5-1.5b-cherry_new/dd0260dd-59f7-4b3d-8f9c-60b297c07a1b.json
deleted file mode 100644
index 8a912a415..000000000
--- a/data/hfopenllm_v2/alibaba/godlikehhd/qwen_2.5-1.5b-cherry_new/dd0260dd-59f7-4b3d-8f9c-60b297c07a1b.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/godlikehhd/qwen_full_data_alpaca/746630a6-de1d-4976-9168-d8ff06980904.json b/data/hfopenllm_v2/alibaba/godlikehhd/qwen_full_data_alpaca/746630a6-de1d-4976-9168-d8ff06980904.json
deleted file mode 100644
index a3c8e0d35..000000000
--- a/data/hfopenllm_v2/alibaba/godlikehhd/qwen_full_data_alpaca/746630a6-de1d-4976-9168-d8ff06980904.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/godlikehhd/qwen_ins_ans_2500/7f577380-2691-4906-af13-8ca3011e6316.json b/data/hfopenllm_v2/alibaba/godlikehhd/qwen_ins_ans_2500/7f577380-2691-4906-af13-8ca3011e6316.json
deleted file mode 100644
index 099d5a3f3..000000000
--- a/data/hfopenllm_v2/alibaba/godlikehhd/qwen_ins_ans_2500/7f577380-2691-4906-af13-8ca3011e6316.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/gz987/qwen2.5-7b-cabs-v0.1/9b6c775b-ef08-4e57-8441-52d7887615b1.json b/data/hfopenllm_v2/alibaba/gz987/qwen2.5-7b-cabs-v0.1/9b6c775b-ef08-4e57-8441-52d7887615b1.json
deleted file mode 100644
index 3ae5ab83e..000000000
--- a/data/hfopenllm_v2/alibaba/gz987/qwen2.5-7b-cabs-v0.1/9b6c775b-ef08-4e57-8441-52d7887615b1.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/gz987/qwen2.5-7b-cabs-v0.2/7288fa97-efd7-45d5-8769-e0071e9b5488.json b/data/hfopenllm_v2/alibaba/gz987/qwen2.5-7b-cabs-v0.2/7288fa97-efd7-45d5-8769-e0071e9b5488.json
deleted file mode 100644
index 032872686..000000000
--- a/data/hfopenllm_v2/alibaba/gz987/qwen2.5-7b-cabs-v0.2/7288fa97-efd7-45d5-8769-e0071e9b5488.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/gz987/qwen2.5-7b-cabs-v0.3/b664e033-1424-431e-af8d-09a11b449286.json b/data/hfopenllm_v2/alibaba/gz987/qwen2.5-7b-cabs-v0.3/b664e033-1424-431e-af8d-09a11b449286.json
deleted file mode 100644
index 69c13d74f..000000000
--- a/data/hfopenllm_v2/alibaba/gz987/qwen2.5-7b-cabs-v0.3/b664e033-1424-431e-af8d-09a11b449286.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/gz987/qwen2.5-7b-cabs-v0.4/8fb7a2aa-3f43-4aaf-b2c0-1770704fcf81.json b/data/hfopenllm_v2/alibaba/gz987/qwen2.5-7b-cabs-v0.4/8fb7a2aa-3f43-4aaf-b2c0-1770704fcf81.json
deleted file mode 100644
index 95481b239..000000000
--- a/data/hfopenllm_v2/alibaba/gz987/qwen2.5-7b-cabs-v0.4/8fb7a2aa-3f43-4aaf-b2c0-1770704fcf81.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/alibaba/hotmailuser/Deepseek-qwen-modelstock-2B/15a4291f-4918-43a6-b242-90db88fe4a3d.json b/data/hfopenllm_v2/alibaba/hotmailuser/Deepseek-qwen-modelstock-2B/15a4291f-4918-43a6-b242-90db88fe4a3d.json
deleted file mode 100644
index 04c4a62fb..000000000
--- a/data/hfopenllm_v2/alibaba/hotmailuser/Deepseek-qwen-modelstock-2B/15a4291f-4918-43a6-b242-90db88fe4a3d.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/hotmailuser/Qwen2.5-HomerSlerp-7B/9c7dab43-b26d-4cb4-a73c-95bb1e01ffe8.json b/data/hfopenllm_v2/alibaba/hotmailuser/Qwen2.5-HomerSlerp-7B/9c7dab43-b26d-4cb4-a73c-95bb1e01ffe8.json
deleted file mode 100644
index 5a5ec2a2a..000000000
--- a/data/hfopenllm_v2/alibaba/hotmailuser/Qwen2.5-HomerSlerp-7B/9c7dab43-b26d-4cb4-a73c-95bb1e01ffe8.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/hotmailuser/QwenModelStock-1.8B/661b1590-f312-447b-a494-1d37ffd93cae.json b/data/hfopenllm_v2/alibaba/hotmailuser/QwenModelStock-1.8B/661b1590-f312-447b-a494-1d37ffd93cae.json
deleted file mode 100644
index 802db60e4..000000000
--- a/data/hfopenllm_v2/alibaba/hotmailuser/QwenModelStock-1.8B/661b1590-f312-447b-a494-1d37ffd93cae.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/hotmailuser/QwenSlerp-14B/83387977-a8cd-4cdd-abc7-301006380458.json b/data/hfopenllm_v2/alibaba/hotmailuser/QwenSlerp-14B/83387977-a8cd-4cdd-abc7-301006380458.json
deleted file mode 100644
index 02d042d59..000000000
--- a/data/hfopenllm_v2/alibaba/hotmailuser/QwenSlerp-14B/83387977-a8cd-4cdd-abc7-301006380458.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/hotmailuser/QwenSlerp-3B/7f53fb66-2c19-434a-acec-7cdcf9fce04d.json b/data/hfopenllm_v2/alibaba/hotmailuser/QwenSlerp-3B/7f53fb66-2c19-434a-acec-7cdcf9fce04d.json
deleted file mode 100644
index 2718b1923..000000000
--- a/data/hfopenllm_v2/alibaba/hotmailuser/QwenSlerp-3B/7f53fb66-2c19-434a-acec-7cdcf9fce04d.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/alibaba/hotmailuser/QwenSlerp-7B/4f8db3ee-409a-4bac-ab0a-ee3493d1e842.json b/data/hfopenllm_v2/alibaba/hotmailuser/QwenSlerp-7B/4f8db3ee-409a-4bac-ab0a-ee3493d1e842.json
deleted file mode 100644
index 1e1db8931..000000000
--- a/data/hfopenllm_v2/alibaba/hotmailuser/QwenSlerp-7B/4f8db3ee-409a-4bac-ab0a-ee3493d1e842.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
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-    "developer": "alibaba",
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-    "id": "hotmailuser/QwenSlerp-7B",
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diff --git a/data/hfopenllm_v2/alibaba/hotmailuser/QwenSlerp2-14B/6732a278-0613-40fd-bdbc-88a586631279.json b/data/hfopenllm_v2/alibaba/hotmailuser/QwenSlerp2-14B/6732a278-0613-40fd-bdbc-88a586631279.json
deleted file mode 100644
index 47ee12950..000000000
--- a/data/hfopenllm_v2/alibaba/hotmailuser/QwenSlerp2-14B/6732a278-0613-40fd-bdbc-88a586631279.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
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diff --git a/data/hfopenllm_v2/alibaba/hotmailuser/QwenSlerp2-3B/cc53c4f9-3c1b-4b21-9aac-ea22dced76c3.json b/data/hfopenllm_v2/alibaba/hotmailuser/QwenSlerp2-3B/cc53c4f9-3c1b-4b21-9aac-ea22dced76c3.json
deleted file mode 100644
index b4d048936..000000000
--- a/data/hfopenllm_v2/alibaba/hotmailuser/QwenSlerp2-3B/cc53c4f9-3c1b-4b21-9aac-ea22dced76c3.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-    "developer": "alibaba",
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-    "id": "hotmailuser/QwenSlerp2-3B",
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diff --git a/data/hfopenllm_v2/alibaba/hotmailuser/QwenSlerp3-14B/7d2c1ffb-d1e7-4c88-af08-74642ddd8741.json b/data/hfopenllm_v2/alibaba/hotmailuser/QwenSlerp3-14B/7d2c1ffb-d1e7-4c88-af08-74642ddd8741.json
deleted file mode 100644
index 152be2f06..000000000
--- a/data/hfopenllm_v2/alibaba/hotmailuser/QwenSlerp3-14B/7d2c1ffb-d1e7-4c88-af08-74642ddd8741.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/hotmailuser/QwenSparse-7B/96bbc2c8-bb74-408d-8625-e6bf66b63cd0.json b/data/hfopenllm_v2/alibaba/hotmailuser/QwenSparse-7B/96bbc2c8-bb74-408d-8625-e6bf66b63cd0.json
deleted file mode 100644
index e585f6140..000000000
--- a/data/hfopenllm_v2/alibaba/hotmailuser/QwenSparse-7B/96bbc2c8-bb74-408d-8625-e6bf66b63cd0.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/hotmailuser/QwenStock-0.5B/72853b4d-cc12-478f-b6f4-977b8fbabfa0.json b/data/hfopenllm_v2/alibaba/hotmailuser/QwenStock-0.5B/72853b4d-cc12-478f-b6f4-977b8fbabfa0.json
deleted file mode 100644
index 7faf44574..000000000
--- a/data/hfopenllm_v2/alibaba/hotmailuser/QwenStock-0.5B/72853b4d-cc12-478f-b6f4-977b8fbabfa0.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/hotmailuser/QwenStock-1.7B/25674b98-92b5-4e2d-97ab-084eabb13db2.json b/data/hfopenllm_v2/alibaba/hotmailuser/QwenStock-1.7B/25674b98-92b5-4e2d-97ab-084eabb13db2.json
deleted file mode 100644
index 551818457..000000000
--- a/data/hfopenllm_v2/alibaba/hotmailuser/QwenStock-1.7B/25674b98-92b5-4e2d-97ab-084eabb13db2.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/hotmailuser/QwenStock1-14B/67fd0572-cf55-412d-8ec6-0cb168d3ed08.json b/data/hfopenllm_v2/alibaba/hotmailuser/QwenStock1-14B/67fd0572-cf55-412d-8ec6-0cb168d3ed08.json
deleted file mode 100644
index ac55dcb8a..000000000
--- a/data/hfopenllm_v2/alibaba/hotmailuser/QwenStock1-14B/67fd0572-cf55-412d-8ec6-0cb168d3ed08.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/huihui-ai/DeepSeek-R1-Distill-Qwen-14B-abliterated-v2/69d04754-3779-4408-9aa9-68c9ba65de7a.json b/data/hfopenllm_v2/alibaba/huihui-ai/DeepSeek-R1-Distill-Qwen-14B-abliterated-v2/69d04754-3779-4408-9aa9-68c9ba65de7a.json
deleted file mode 100644
index cb66a53b8..000000000
--- a/data/hfopenllm_v2/alibaba/huihui-ai/DeepSeek-R1-Distill-Qwen-14B-abliterated-v2/69d04754-3779-4408-9aa9-68c9ba65de7a.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/jayasuryajsk/Qwen2.5-3B-reasoner/91c0e116-7dc0-4931-ac61-b98bac2af3e0.json b/data/hfopenllm_v2/alibaba/jayasuryajsk/Qwen2.5-3B-reasoner/91c0e116-7dc0-4931-ac61-b98bac2af3e0.json
deleted file mode 100644
index aafd7883d..000000000
--- a/data/hfopenllm_v2/alibaba/jayasuryajsk/Qwen2.5-3B-reasoner/91c0e116-7dc0-4931-ac61-b98bac2af3e0.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/jeanmichela/o-distil-qwen/172e7bfa-b430-4e14-a15a-a54ec5c9133e.json b/data/hfopenllm_v2/alibaba/jeanmichela/o-distil-qwen/172e7bfa-b430-4e14-a15a-a54ec5c9133e.json
deleted file mode 100644
index 775883769..000000000
--- a/data/hfopenllm_v2/alibaba/jeanmichela/o-distil-qwen/172e7bfa-b430-4e14-a15a-a54ec5c9133e.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/jebish7/qwen2.5-0.5B-IHA-Hin/5849d742-02eb-4370-8c97-efc5eec4f1ed.json b/data/hfopenllm_v2/alibaba/jebish7/qwen2.5-0.5B-IHA-Hin/5849d742-02eb-4370-8c97-efc5eec4f1ed.json
deleted file mode 100644
index 4a562eadf..000000000
--- a/data/hfopenllm_v2/alibaba/jebish7/qwen2.5-0.5B-IHA-Hin/5849d742-02eb-4370-8c97-efc5eec4f1ed.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/jeffmeloy/Qwen-7B-nerd-uncensored-v1.0/1812829e-2c91-410e-9e2e-cc758b652e9b.json b/data/hfopenllm_v2/alibaba/jeffmeloy/Qwen-7B-nerd-uncensored-v1.0/1812829e-2c91-410e-9e2e-cc758b652e9b.json
deleted file mode 100644
index 1f0427b1a..000000000
--- a/data/hfopenllm_v2/alibaba/jeffmeloy/Qwen-7B-nerd-uncensored-v1.0/1812829e-2c91-410e-9e2e-cc758b652e9b.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "retrieved_timestamp": "1762652580.2832158",
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-    "source_name": "HF Open LLM v2",
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-  "model_info": {
-    "name": "jeffmeloy/Qwen-7B-nerd-uncensored-v1.0",
-    "developer": "alibaba",
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-    "id": "jeffmeloy/Qwen-7B-nerd-uncensored-v1.0",
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diff --git a/data/hfopenllm_v2/alibaba/jeffmeloy/Qwen2.5-7B-minperplexity-2/593d3d30-f2e8-4ad3-b0ab-4bfed63a0ab5.json b/data/hfopenllm_v2/alibaba/jeffmeloy/Qwen2.5-7B-minperplexity-2/593d3d30-f2e8-4ad3-b0ab-4bfed63a0ab5.json
deleted file mode 100644
index 8768aa559..000000000
--- a/data/hfopenllm_v2/alibaba/jeffmeloy/Qwen2.5-7B-minperplexity-2/593d3d30-f2e8-4ad3-b0ab-4bfed63a0ab5.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "source_data": [
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-  "model_info": {
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-    "developer": "alibaba",
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-      "architecture": "Qwen2ForCausalLM",
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diff --git a/data/hfopenllm_v2/alibaba/jeffmeloy/Qwen2.5-7B-nerd-uncensored-v0.9/45a72c39-9cdb-4fb6-aaf0-d50cc89dfd70.json b/data/hfopenllm_v2/alibaba/jeffmeloy/Qwen2.5-7B-nerd-uncensored-v0.9/45a72c39-9cdb-4fb6-aaf0-d50cc89dfd70.json
deleted file mode 100644
index f964ba3a7..000000000
--- a/data/hfopenllm_v2/alibaba/jeffmeloy/Qwen2.5-7B-nerd-uncensored-v0.9/45a72c39-9cdb-4fb6-aaf0-d50cc89dfd70.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-    "id": "jeffmeloy/Qwen2.5-7B-nerd-uncensored-v0.9",
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diff --git a/data/hfopenllm_v2/alibaba/jeffmeloy/Qwen2.5-7B-nerd-uncensored-v1.0/ee2b789c-951d-426e-87e3-232c07d65ade.json b/data/hfopenllm_v2/alibaba/jeffmeloy/Qwen2.5-7B-nerd-uncensored-v1.0/ee2b789c-951d-426e-87e3-232c07d65ade.json
deleted file mode 100644
index 869e76bdf..000000000
--- a/data/hfopenllm_v2/alibaba/jeffmeloy/Qwen2.5-7B-nerd-uncensored-v1.0/ee2b789c-951d-426e-87e3-232c07d65ade.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/jeffmeloy/Qwen2.5-7B-nerd-uncensored-v1.1/2316b408-c94b-471e-b64b-c1f8f345868e.json b/data/hfopenllm_v2/alibaba/jeffmeloy/Qwen2.5-7B-nerd-uncensored-v1.1/2316b408-c94b-471e-b64b-c1f8f345868e.json
deleted file mode 100644
index 57316d4b1..000000000
--- a/data/hfopenllm_v2/alibaba/jeffmeloy/Qwen2.5-7B-nerd-uncensored-v1.1/2316b408-c94b-471e-b64b-c1f8f345868e.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-    "developer": "alibaba",
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diff --git a/data/hfopenllm_v2/alibaba/jeffmeloy/Qwen2.5-7B-nerd-uncensored-v1.2/49d47f6d-0d11-4b07-b42e-b94310c97d3e.json b/data/hfopenllm_v2/alibaba/jeffmeloy/Qwen2.5-7B-nerd-uncensored-v1.2/49d47f6d-0d11-4b07-b42e-b94310c97d3e.json
deleted file mode 100644
index 0f1dc5fff..000000000
--- a/data/hfopenllm_v2/alibaba/jeffmeloy/Qwen2.5-7B-nerd-uncensored-v1.2/49d47f6d-0d11-4b07-b42e-b94310c97d3e.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/jeffmeloy/Qwen2.5-7B-nerd-uncensored-v1.3/0ec990b0-b908-44f5-9fb7-5ee603737bc7.json b/data/hfopenllm_v2/alibaba/jeffmeloy/Qwen2.5-7B-nerd-uncensored-v1.3/0ec990b0-b908-44f5-9fb7-5ee603737bc7.json
deleted file mode 100644
index f6fef58d7..000000000
--- a/data/hfopenllm_v2/alibaba/jeffmeloy/Qwen2.5-7B-nerd-uncensored-v1.3/0ec990b0-b908-44f5-9fb7-5ee603737bc7.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-    "source_name": "HF Open LLM v2",
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diff --git a/data/hfopenllm_v2/alibaba/jeffmeloy/Qwen2.5-7B-nerd-uncensored-v1.4/34c33a97-ae07-42e9-8025-9076e2bce3bb.json b/data/hfopenllm_v2/alibaba/jeffmeloy/Qwen2.5-7B-nerd-uncensored-v1.4/34c33a97-ae07-42e9-8025-9076e2bce3bb.json
deleted file mode 100644
index 31a65db37..000000000
--- a/data/hfopenllm_v2/alibaba/jeffmeloy/Qwen2.5-7B-nerd-uncensored-v1.4/34c33a97-ae07-42e9-8025-9076e2bce3bb.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/jeffmeloy/Qwen2.5-7B-nerd-uncensored-v1.5/bd4ff159-0bf9-4fe1-8cc8-9f3d7bb47bbc.json b/data/hfopenllm_v2/alibaba/jeffmeloy/Qwen2.5-7B-nerd-uncensored-v1.5/bd4ff159-0bf9-4fe1-8cc8-9f3d7bb47bbc.json
deleted file mode 100644
index 6be6ab956..000000000
--- a/data/hfopenllm_v2/alibaba/jeffmeloy/Qwen2.5-7B-nerd-uncensored-v1.5/bd4ff159-0bf9-4fe1-8cc8-9f3d7bb47bbc.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/jeffmeloy/Qwen2.5-7B-nerd-uncensored-v1.7/4aa966fc-ee99-430c-8688-99565f5e6fcc.json b/data/hfopenllm_v2/alibaba/jeffmeloy/Qwen2.5-7B-nerd-uncensored-v1.7/4aa966fc-ee99-430c-8688-99565f5e6fcc.json
deleted file mode 100644
index b4957da4a..000000000
--- a/data/hfopenllm_v2/alibaba/jeffmeloy/Qwen2.5-7B-nerd-uncensored-v1.7/4aa966fc-ee99-430c-8688-99565f5e6fcc.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/jeffmeloy/Qwen2.5-7B-nerd-uncensored-v1.8/e908901d-c122-4458-9d4e-9a7d1242211c.json b/data/hfopenllm_v2/alibaba/jeffmeloy/Qwen2.5-7B-nerd-uncensored-v1.8/e908901d-c122-4458-9d4e-9a7d1242211c.json
deleted file mode 100644
index 6bc99d9aa..000000000
--- a/data/hfopenllm_v2/alibaba/jeffmeloy/Qwen2.5-7B-nerd-uncensored-v1.8/e908901d-c122-4458-9d4e-9a7d1242211c.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/jeffmeloy/Qwen2.5-7B-olm-v1.0/e9350de5-cae6-46bc-a83f-0e6e65eae4e3.json b/data/hfopenllm_v2/alibaba/jeffmeloy/Qwen2.5-7B-olm-v1.0/e9350de5-cae6-46bc-a83f-0e6e65eae4e3.json
deleted file mode 100644
index 186f04343..000000000
--- a/data/hfopenllm_v2/alibaba/jeffmeloy/Qwen2.5-7B-olm-v1.0/e9350de5-cae6-46bc-a83f-0e6e65eae4e3.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-    "developer": "alibaba",
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-    "id": "jeffmeloy/Qwen2.5-7B-olm-v1.0",
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diff --git a/data/hfopenllm_v2/alibaba/jeffmeloy/Qwen2.5-7B-olm-v1.1/769eabf2-4c12-4a48-8ec2-7dacf50a28f0.json b/data/hfopenllm_v2/alibaba/jeffmeloy/Qwen2.5-7B-olm-v1.1/769eabf2-4c12-4a48-8ec2-7dacf50a28f0.json
deleted file mode 100644
index 99e2857fc..000000000
--- a/data/hfopenllm_v2/alibaba/jeffmeloy/Qwen2.5-7B-olm-v1.1/769eabf2-4c12-4a48-8ec2-7dacf50a28f0.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/jeffmeloy/Qwen2.5-7B-olm-v1.2/8c4531a4-4418-4090-9c82-f60bcf8d9935.json b/data/hfopenllm_v2/alibaba/jeffmeloy/Qwen2.5-7B-olm-v1.2/8c4531a4-4418-4090-9c82-f60bcf8d9935.json
deleted file mode 100644
index 90cc39e6a..000000000
--- a/data/hfopenllm_v2/alibaba/jeffmeloy/Qwen2.5-7B-olm-v1.2/8c4531a4-4418-4090-9c82-f60bcf8d9935.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-    "id": "jeffmeloy/Qwen2.5-7B-olm-v1.2",
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diff --git a/data/hfopenllm_v2/alibaba/jeffmeloy/Qwen2.5-7B-olm-v1.3/a5c9246f-a7b5-4183-9a64-93151b536945.json b/data/hfopenllm_v2/alibaba/jeffmeloy/Qwen2.5-7B-olm-v1.3/a5c9246f-a7b5-4183-9a64-93151b536945.json
deleted file mode 100644
index 7489e2cfc..000000000
--- a/data/hfopenllm_v2/alibaba/jeffmeloy/Qwen2.5-7B-olm-v1.3/a5c9246f-a7b5-4183-9a64-93151b536945.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/jeffmeloy/Qwen2.5-7B-olm-v1.4/1faf58ba-28e7-45a1-bc2c-d0aa707a49aa.json b/data/hfopenllm_v2/alibaba/jeffmeloy/Qwen2.5-7B-olm-v1.4/1faf58ba-28e7-45a1-bc2c-d0aa707a49aa.json
deleted file mode 100644
index 52a27ca6b..000000000
--- a/data/hfopenllm_v2/alibaba/jeffmeloy/Qwen2.5-7B-olm-v1.4/1faf58ba-28e7-45a1-bc2c-d0aa707a49aa.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/jeffmeloy/Qwen2.5-7B-olm-v1.5/b347eea5-e676-478e-b0ee-d53abf2c8697.json b/data/hfopenllm_v2/alibaba/jeffmeloy/Qwen2.5-7B-olm-v1.5/b347eea5-e676-478e-b0ee-d53abf2c8697.json
deleted file mode 100644
index 9211efe46..000000000
--- a/data/hfopenllm_v2/alibaba/jeffmeloy/Qwen2.5-7B-olm-v1.5/b347eea5-e676-478e-b0ee-d53abf2c8697.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/jeffmeloy/jeffmeloy_Qwen2.5-7B-minperplexity-1/ba005ac7-761f-4cd7-91ed-34b88028240f.json b/data/hfopenllm_v2/alibaba/jeffmeloy/jeffmeloy_Qwen2.5-7B-minperplexity-1/ba005ac7-761f-4cd7-91ed-34b88028240f.json
deleted file mode 100644
index 8ec5699cf..000000000
--- a/data/hfopenllm_v2/alibaba/jeffmeloy/jeffmeloy_Qwen2.5-7B-minperplexity-1/ba005ac7-761f-4cd7-91ed-34b88028240f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/kayfour/T3Q-Qwen2.5-7B-it-KOR-Safe/35e56ec7-deae-4674-abfc-3c45f5dec040.json b/data/hfopenllm_v2/alibaba/kayfour/T3Q-Qwen2.5-7B-it-KOR-Safe/35e56ec7-deae-4674-abfc-3c45f5dec040.json
deleted file mode 100644
index 082dacc34..000000000
--- a/data/hfopenllm_v2/alibaba/kayfour/T3Q-Qwen2.5-7B-it-KOR-Safe/35e56ec7-deae-4674-abfc-3c45f5dec040.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/kms7530/chemeng_qwen-math-7b_24_1_100_1/af7f201f-3af3-4ffb-9416-c83235851cb6.json b/data/hfopenllm_v2/alibaba/kms7530/chemeng_qwen-math-7b_24_1_100_1/af7f201f-3af3-4ffb-9416-c83235851cb6.json
deleted file mode 100644
index ca7357302..000000000
--- a/data/hfopenllm_v2/alibaba/kms7530/chemeng_qwen-math-7b_24_1_100_1/af7f201f-3af3-4ffb-9416-c83235851cb6.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/kms7530/chemeng_qwen-math-7b_24_1_100_1_nonmath/8ae7c857-be7e-463e-86c2-6b165920a45c.json b/data/hfopenllm_v2/alibaba/kms7530/chemeng_qwen-math-7b_24_1_100_1_nonmath/8ae7c857-be7e-463e-86c2-6b165920a45c.json
deleted file mode 100644
index 88ac5d62b..000000000
--- a/data/hfopenllm_v2/alibaba/kms7530/chemeng_qwen-math-7b_24_1_100_1_nonmath/8ae7c857-be7e-463e-86c2-6b165920a45c.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/alibaba/lkoenig/BBAI_212_QwenLawLo/c4f888d2-c08c-43c4-a1f9-79edf519c893.json b/data/hfopenllm_v2/alibaba/lkoenig/BBAI_212_QwenLawLo/c4f888d2-c08c-43c4-a1f9-79edf519c893.json
deleted file mode 100644
index 6b6fc8e79..000000000
--- a/data/hfopenllm_v2/alibaba/lkoenig/BBAI_212_QwenLawLo/c4f888d2-c08c-43c4-a1f9-79edf519c893.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/alibaba/lkoenig/BBAI_212_Qwencore/d42a520c-15dd-4497-a26a-b6f77b3257e6.json b/data/hfopenllm_v2/alibaba/lkoenig/BBAI_212_Qwencore/d42a520c-15dd-4497-a26a-b6f77b3257e6.json
deleted file mode 100644
index 3dedfc52b..000000000
--- a/data/hfopenllm_v2/alibaba/lkoenig/BBAI_212_Qwencore/d42a520c-15dd-4497-a26a-b6f77b3257e6.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/alibaba/lkoenig/BBAI_230_Xiaqwen/c9393ea7-3269-435f-9159-95638b9c691e.json b/data/hfopenllm_v2/alibaba/lkoenig/BBAI_230_Xiaqwen/c9393ea7-3269-435f-9159-95638b9c691e.json
deleted file mode 100644
index 834b1a576..000000000
--- a/data/hfopenllm_v2/alibaba/lkoenig/BBAI_230_Xiaqwen/c9393ea7-3269-435f-9159-95638b9c691e.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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deleted file mode 100644
index 76005ee28..000000000
--- a/data/hfopenllm_v2/alibaba/lkoenig/BBAI_375_QwenDyancabs/08e49740-3cdd-47b2-9b95-b96d8a13dd79.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/lkoenig/BBAI_456_QwenKoen/249b0b65-5c71-4c5d-9802-28df0ead0cdf.json b/data/hfopenllm_v2/alibaba/lkoenig/BBAI_456_QwenKoen/249b0b65-5c71-4c5d-9802-28df0ead0cdf.json
deleted file mode 100644
index 2f2b0ad3e..000000000
--- a/data/hfopenllm_v2/alibaba/lkoenig/BBAI_456_QwenKoen/249b0b65-5c71-4c5d-9802-28df0ead0cdf.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/lkoenig/BBAI_7B_KoenQwenDyan/fe084d09-ee80-4c7f-93a7-3ee0f9081177.json b/data/hfopenllm_v2/alibaba/lkoenig/BBAI_7B_KoenQwenDyan/fe084d09-ee80-4c7f-93a7-3ee0f9081177.json
deleted file mode 100644
index 3a274764c..000000000
--- a/data/hfopenllm_v2/alibaba/lkoenig/BBAI_7B_KoenQwenDyan/fe084d09-ee80-4c7f-93a7-3ee0f9081177.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/lkoenig/BBAI_7B_Qwen2.5koen/078cedea-7b3a-4c77-b932-3d42f0c841fe.json b/data/hfopenllm_v2/alibaba/lkoenig/BBAI_7B_Qwen2.5koen/078cedea-7b3a-4c77-b932-3d42f0c841fe.json
deleted file mode 100644
index 9f258e430..000000000
--- a/data/hfopenllm_v2/alibaba/lkoenig/BBAI_7B_Qwen2.5koen/078cedea-7b3a-4c77-b932-3d42f0c841fe.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/alibaba/lkoenig/BBAI_7B_QwenDyanKoenLo/dedc34ed-fd8f-4b29-b898-3c9830993247.json b/data/hfopenllm_v2/alibaba/lkoenig/BBAI_7B_QwenDyanKoenLo/dedc34ed-fd8f-4b29-b898-3c9830993247.json
deleted file mode 100644
index 51a9e46af..000000000
--- a/data/hfopenllm_v2/alibaba/lkoenig/BBAI_7B_QwenDyanKoenLo/dedc34ed-fd8f-4b29-b898-3c9830993247.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/lkoenig/BBAI_7B_QwenDyancabsLAW/05f391f3-68ac-422a-b7e8-01eba1729a0b.json b/data/hfopenllm_v2/alibaba/lkoenig/BBAI_7B_QwenDyancabsLAW/05f391f3-68ac-422a-b7e8-01eba1729a0b.json
deleted file mode 100644
index 3d615245b..000000000
--- a/data/hfopenllm_v2/alibaba/lkoenig/BBAI_7B_QwenDyancabsLAW/05f391f3-68ac-422a-b7e8-01eba1729a0b.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/macadeliccc/Samantha-Qwen-2-7B/c443492e-3b5f-4394-9fbb-761dba338638.json b/data/hfopenllm_v2/alibaba/macadeliccc/Samantha-Qwen-2-7B/c443492e-3b5f-4394-9fbb-761dba338638.json
deleted file mode 100644
index de6f98ec0..000000000
--- a/data/hfopenllm_v2/alibaba/macadeliccc/Samantha-Qwen-2-7B/c443492e-3b5f-4394-9fbb-761dba338638.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/marcuscedricridia/Hush-Qwen2.5-7B-MST-v1.1/19b72caf-a841-4928-98c3-c505694724c3.json b/data/hfopenllm_v2/alibaba/marcuscedricridia/Hush-Qwen2.5-7B-MST-v1.1/19b72caf-a841-4928-98c3-c505694724c3.json
deleted file mode 100644
index 5edd92f08..000000000
--- a/data/hfopenllm_v2/alibaba/marcuscedricridia/Hush-Qwen2.5-7B-MST-v1.1/19b72caf-a841-4928-98c3-c505694724c3.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/marcuscedricridia/Hush-Qwen2.5-7B-MST-v1.3/36b2821f-5fa6-4384-9ddc-6cbc5b52321c.json b/data/hfopenllm_v2/alibaba/marcuscedricridia/Hush-Qwen2.5-7B-MST-v1.3/36b2821f-5fa6-4384-9ddc-6cbc5b52321c.json
deleted file mode 100644
index 7c9770dff..000000000
--- a/data/hfopenllm_v2/alibaba/marcuscedricridia/Hush-Qwen2.5-7B-MST-v1.3/36b2821f-5fa6-4384-9ddc-6cbc5b52321c.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/marcuscedricridia/Hush-Qwen2.5-7B-MST/80d3a785-dde1-44fa-b6e1-93722849fdb1.json b/data/hfopenllm_v2/alibaba/marcuscedricridia/Hush-Qwen2.5-7B-MST/80d3a785-dde1-44fa-b6e1-93722849fdb1.json
deleted file mode 100644
index aadd9636c..000000000
--- a/data/hfopenllm_v2/alibaba/marcuscedricridia/Hush-Qwen2.5-7B-MST/80d3a785-dde1-44fa-b6e1-93722849fdb1.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/marcuscedricridia/Hush-Qwen2.5-7B-Preview/6bfc8cf9-e615-4447-bc6e-ff96752dc5fb.json b/data/hfopenllm_v2/alibaba/marcuscedricridia/Hush-Qwen2.5-7B-Preview/6bfc8cf9-e615-4447-bc6e-ff96752dc5fb.json
deleted file mode 100644
index c7234e470..000000000
--- a/data/hfopenllm_v2/alibaba/marcuscedricridia/Hush-Qwen2.5-7B-Preview/6bfc8cf9-e615-4447-bc6e-ff96752dc5fb.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/marcuscedricridia/Hush-Qwen2.5-7B-RP-v1.4-1M/feefc068-9257-4d0f-ac55-acd08ededeca.json b/data/hfopenllm_v2/alibaba/marcuscedricridia/Hush-Qwen2.5-7B-RP-v1.4-1M/feefc068-9257-4d0f-ac55-acd08ededeca.json
deleted file mode 100644
index 3a746167c..000000000
--- a/data/hfopenllm_v2/alibaba/marcuscedricridia/Hush-Qwen2.5-7B-RP-v1.4-1M/feefc068-9257-4d0f-ac55-acd08ededeca.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/marcuscedricridia/Hush-Qwen2.5-7B-v1.1/25d6c4bd-6540-43cb-a682-77d4fa4eb64e.json b/data/hfopenllm_v2/alibaba/marcuscedricridia/Hush-Qwen2.5-7B-v1.1/25d6c4bd-6540-43cb-a682-77d4fa4eb64e.json
deleted file mode 100644
index 23994bc47..000000000
--- a/data/hfopenllm_v2/alibaba/marcuscedricridia/Hush-Qwen2.5-7B-v1.1/25d6c4bd-6540-43cb-a682-77d4fa4eb64e.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/marcuscedricridia/Hush-Qwen2.5-7B-v1.2/6e342711-8d2d-42ed-a019-11be429e10d8.json b/data/hfopenllm_v2/alibaba/marcuscedricridia/Hush-Qwen2.5-7B-v1.2/6e342711-8d2d-42ed-a019-11be429e10d8.json
deleted file mode 100644
index 00ee2578d..000000000
--- a/data/hfopenllm_v2/alibaba/marcuscedricridia/Hush-Qwen2.5-7B-v1.2/6e342711-8d2d-42ed-a019-11be429e10d8.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/marcuscedricridia/Hush-Qwen2.5-7B-v1.3/1af605c0-ec58-4651-a57a-2fd7d0cd5a67.json b/data/hfopenllm_v2/alibaba/marcuscedricridia/Hush-Qwen2.5-7B-v1.3/1af605c0-ec58-4651-a57a-2fd7d0cd5a67.json
deleted file mode 100644
index cbe4c64b9..000000000
--- a/data/hfopenllm_v2/alibaba/marcuscedricridia/Hush-Qwen2.5-7B-v1.3/1af605c0-ec58-4651-a57a-2fd7d0cd5a67.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/marcuscedricridia/Hush-Qwen2.5-7B-v1.4/fd65e319-bc38-457b-9913-9a2214e69823.json b/data/hfopenllm_v2/alibaba/marcuscedricridia/Hush-Qwen2.5-7B-v1.4/fd65e319-bc38-457b-9913-9a2214e69823.json
deleted file mode 100644
index 8c39081b6..000000000
--- a/data/hfopenllm_v2/alibaba/marcuscedricridia/Hush-Qwen2.5-7B-v1.4/fd65e319-bc38-457b-9913-9a2214e69823.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/marcuscedricridia/Qwen2.5-7B-Preview/56032f8a-b733-4b1f-acbc-78d0d1ddf2a5.json b/data/hfopenllm_v2/alibaba/marcuscedricridia/Qwen2.5-7B-Preview/56032f8a-b733-4b1f-acbc-78d0d1ddf2a5.json
deleted file mode 100644
index 3ae24ed11..000000000
--- a/data/hfopenllm_v2/alibaba/marcuscedricridia/Qwen2.5-7B-Preview/56032f8a-b733-4b1f-acbc-78d0d1ddf2a5.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/marcuscedricridia/Yell-Qwen2.5-7B-Preview-v1.1/be0058b1-23b2-40b7-b336-ab40bf82c997.json b/data/hfopenllm_v2/alibaba/marcuscedricridia/Yell-Qwen2.5-7B-Preview-v1.1/be0058b1-23b2-40b7-b336-ab40bf82c997.json
deleted file mode 100644
index 5d3d116f4..000000000
--- a/data/hfopenllm_v2/alibaba/marcuscedricridia/Yell-Qwen2.5-7B-Preview-v1.1/be0058b1-23b2-40b7-b336-ab40bf82c997.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/marcuscedricridia/Yell-Qwen2.5-7B-Preview/f47334f2-f0ab-48f5-814e-f3ede36802d9.json b/data/hfopenllm_v2/alibaba/marcuscedricridia/Yell-Qwen2.5-7B-Preview/f47334f2-f0ab-48f5-814e-f3ede36802d9.json
deleted file mode 100644
index 511c8b430..000000000
--- a/data/hfopenllm_v2/alibaba/marcuscedricridia/Yell-Qwen2.5-7B-Preview/f47334f2-f0ab-48f5-814e-f3ede36802d9.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/maywell/Qwen2-7B-Multilingual-RP/fd91f8aa-a521-4e9b-824a-aa21adade569.json b/data/hfopenllm_v2/alibaba/maywell/Qwen2-7B-Multilingual-RP/fd91f8aa-a521-4e9b-824a-aa21adade569.json
deleted file mode 100644
index 6aca7e9e6..000000000
--- a/data/hfopenllm_v2/alibaba/maywell/Qwen2-7B-Multilingual-RP/fd91f8aa-a521-4e9b-824a-aa21adade569.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/mergekit-community/SuperQwen-2.5-1.5B/95d33475-a71b-41d6-a08d-3da30e631897.json b/data/hfopenllm_v2/alibaba/mergekit-community/SuperQwen-2.5-1.5B/95d33475-a71b-41d6-a08d-3da30e631897.json
deleted file mode 100644
index 9801092b7..000000000
--- a/data/hfopenllm_v2/alibaba/mergekit-community/SuperQwen-2.5-1.5B/95d33475-a71b-41d6-a08d-3da30e631897.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/mhl1/Qwen2.5-0.5B-cinstruct-stage1/bf9d8219-66b9-4c77-8c6d-2983e60dc2cb.json b/data/hfopenllm_v2/alibaba/mhl1/Qwen2.5-0.5B-cinstruct-stage1/bf9d8219-66b9-4c77-8c6d-2983e60dc2cb.json
deleted file mode 100644
index a6fbb35d1..000000000
--- a/data/hfopenllm_v2/alibaba/mhl1/Qwen2.5-0.5B-cinstruct-stage1/bf9d8219-66b9-4c77-8c6d-2983e60dc2cb.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/migtissera/Tess-v2.5.2-Qwen2-72B/34b9dd9e-dc03-4354-b016-3b1463a902f9.json b/data/hfopenllm_v2/alibaba/migtissera/Tess-v2.5.2-Qwen2-72B/34b9dd9e-dc03-4354-b016-3b1463a902f9.json
deleted file mode 100644
index d4b528bf5..000000000
--- a/data/hfopenllm_v2/alibaba/migtissera/Tess-v2.5.2-Qwen2-72B/34b9dd9e-dc03-4354-b016-3b1463a902f9.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/minghaowu/Qwen1.5-1.8B-OpenHermes-2.5/cf3f376a-92ec-4678-a57a-cee2e40032a5.json b/data/hfopenllm_v2/alibaba/minghaowu/Qwen1.5-1.8B-OpenHermes-2.5/cf3f376a-92ec-4678-a57a-cee2e40032a5.json
deleted file mode 100644
index 07b0aa08a..000000000
--- a/data/hfopenllm_v2/alibaba/minghaowu/Qwen1.5-1.8B-OpenHermes-2.5/cf3f376a-92ec-4678-a57a-cee2e40032a5.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
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diff --git a/data/hfopenllm_v2/alibaba/mobiuslabsgmbh/DeepSeek-R1-ReDistill-Qwen-7B-v1.1/99d27765-a9c5-4f50-8bd1-c3ce67683621.json b/data/hfopenllm_v2/alibaba/mobiuslabsgmbh/DeepSeek-R1-ReDistill-Qwen-7B-v1.1/99d27765-a9c5-4f50-8bd1-c3ce67683621.json
deleted file mode 100644
index 652503bcb..000000000
--- a/data/hfopenllm_v2/alibaba/mobiuslabsgmbh/DeepSeek-R1-ReDistill-Qwen-7B-v1.1/99d27765-a9c5-4f50-8bd1-c3ce67683621.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/nbeerbower/Dumpling-Qwen2.5-1.5B/f2eaeee8-a75b-4d0f-9dcd-2a11c3de926b.json b/data/hfopenllm_v2/alibaba/nbeerbower/Dumpling-Qwen2.5-1.5B/f2eaeee8-a75b-4d0f-9dcd-2a11c3de926b.json
deleted file mode 100644
index 215f2051a..000000000
--- a/data/hfopenllm_v2/alibaba/nbeerbower/Dumpling-Qwen2.5-1.5B/f2eaeee8-a75b-4d0f-9dcd-2a11c3de926b.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/nbeerbower/Dumpling-Qwen2.5-14B/0a70cdb4-5ccc-40e2-bf99-3af619b8b7f6.json b/data/hfopenllm_v2/alibaba/nbeerbower/Dumpling-Qwen2.5-14B/0a70cdb4-5ccc-40e2-bf99-3af619b8b7f6.json
deleted file mode 100644
index 2de4c65f3..000000000
--- a/data/hfopenllm_v2/alibaba/nbeerbower/Dumpling-Qwen2.5-14B/0a70cdb4-5ccc-40e2-bf99-3af619b8b7f6.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/nbeerbower/Dumpling-Qwen2.5-7B-1k-r16/76e3f2a5-7545-4270-800d-6413e39608ad.json b/data/hfopenllm_v2/alibaba/nbeerbower/Dumpling-Qwen2.5-7B-1k-r16/76e3f2a5-7545-4270-800d-6413e39608ad.json
deleted file mode 100644
index e1e3c86ac..000000000
--- a/data/hfopenllm_v2/alibaba/nbeerbower/Dumpling-Qwen2.5-7B-1k-r16/76e3f2a5-7545-4270-800d-6413e39608ad.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/nbeerbower/Dumpling-Qwen2.5-7B-1k-r64-2e-5/2e6c1c46-01af-493a-a2ce-266d13b53000.json b/data/hfopenllm_v2/alibaba/nbeerbower/Dumpling-Qwen2.5-7B-1k-r64-2e-5/2e6c1c46-01af-493a-a2ce-266d13b53000.json
deleted file mode 100644
index 19b9474fc..000000000
--- a/data/hfopenllm_v2/alibaba/nbeerbower/Dumpling-Qwen2.5-7B-1k-r64-2e-5/2e6c1c46-01af-493a-a2ce-266d13b53000.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/nbeerbower/EVA-abliterated-TIES-Qwen2.5-1.5B/dea423e8-cdbd-4895-80af-f53dbb5caa1c.json b/data/hfopenllm_v2/alibaba/nbeerbower/EVA-abliterated-TIES-Qwen2.5-1.5B/dea423e8-cdbd-4895-80af-f53dbb5caa1c.json
deleted file mode 100644
index 809576539..000000000
--- a/data/hfopenllm_v2/alibaba/nbeerbower/EVA-abliterated-TIES-Qwen2.5-1.5B/dea423e8-cdbd-4895-80af-f53dbb5caa1c.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/nbeerbower/EVA-abliterated-TIES-Qwen2.5-14B/997fc8c5-fc91-4e9e-a2b7-bdda77e4f4a7.json b/data/hfopenllm_v2/alibaba/nbeerbower/EVA-abliterated-TIES-Qwen2.5-14B/997fc8c5-fc91-4e9e-a2b7-bdda77e4f4a7.json
deleted file mode 100644
index a955a2a72..000000000
--- a/data/hfopenllm_v2/alibaba/nbeerbower/EVA-abliterated-TIES-Qwen2.5-14B/997fc8c5-fc91-4e9e-a2b7-bdda77e4f4a7.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/nbeerbower/Qwen2.5-Gutenberg-Doppel-14B/649483fb-4b54-4824-82eb-e78e55e53912.json b/data/hfopenllm_v2/alibaba/nbeerbower/Qwen2.5-Gutenberg-Doppel-14B/649483fb-4b54-4824-82eb-e78e55e53912.json
deleted file mode 100644
index ac3b99e14..000000000
--- a/data/hfopenllm_v2/alibaba/nbeerbower/Qwen2.5-Gutenberg-Doppel-14B/649483fb-4b54-4824-82eb-e78e55e53912.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/netcat420/DeepSeek-R1-Distill-Qwen-MFANN-Slerp-7b/0d99e863-596f-43b7-932e-a4a27435e63d.json b/data/hfopenllm_v2/alibaba/netcat420/DeepSeek-R1-Distill-Qwen-MFANN-Slerp-7b/0d99e863-596f-43b7-932e-a4a27435e63d.json
deleted file mode 100644
index 47ec99a45..000000000
--- a/data/hfopenllm_v2/alibaba/netcat420/DeepSeek-R1-Distill-Qwen-MFANN-Slerp-7b/0d99e863-596f-43b7-932e-a4a27435e63d.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/netcat420/Qwen2.5-7B-nerd-uncensored-v0.9-MFANN/399b43e8-3c07-4f3d-8b3e-50b8acd96e78.json b/data/hfopenllm_v2/alibaba/netcat420/Qwen2.5-7B-nerd-uncensored-v0.9-MFANN/399b43e8-3c07-4f3d-8b3e-50b8acd96e78.json
deleted file mode 100644
index c815a3c6a..000000000
--- a/data/hfopenllm_v2/alibaba/netcat420/Qwen2.5-7B-nerd-uncensored-v0.9-MFANN/399b43e8-3c07-4f3d-8b3e-50b8acd96e78.json
+++ /dev/null
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-{
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diff --git a/data/hfopenllm_v2/alibaba/netcat420/Qwen2.5-7b-MFANN-slerp/d621c163-5ca6-4e54-8913-d931e4a2c6b9.json b/data/hfopenllm_v2/alibaba/netcat420/Qwen2.5-7b-MFANN-slerp/d621c163-5ca6-4e54-8913-d931e4a2c6b9.json
deleted file mode 100644
index fc24f1e23..000000000
--- a/data/hfopenllm_v2/alibaba/netcat420/Qwen2.5-7b-MFANN-slerp/d621c163-5ca6-4e54-8913-d931e4a2c6b9.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/netcat420/Qwen2.5-7b-nerd-uncensored-MFANN-slerp/170aa8c2-6b80-44d3-9d22-c1a5f7fa2ad4.json b/data/hfopenllm_v2/alibaba/netcat420/Qwen2.5-7b-nerd-uncensored-MFANN-slerp/170aa8c2-6b80-44d3-9d22-c1a5f7fa2ad4.json
deleted file mode 100644
index b8a135424..000000000
--- a/data/hfopenllm_v2/alibaba/netcat420/Qwen2.5-7b-nerd-uncensored-MFANN-slerp/170aa8c2-6b80-44d3-9d22-c1a5f7fa2ad4.json
+++ /dev/null
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-{
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diff --git a/data/hfopenllm_v2/alibaba/netcat420/Qwen2.5-Coder-Scholar-7B-Abliterated-MFANN-Slerp-Unretrained/2f89ceb3-8bc1-48f0-a4cb-3dc1b8acad87.json b/data/hfopenllm_v2/alibaba/netcat420/Qwen2.5-Coder-Scholar-7B-Abliterated-MFANN-Slerp-Unretrained/2f89ceb3-8bc1-48f0-a4cb-3dc1b8acad87.json
deleted file mode 100644
index 00c0a120d..000000000
--- a/data/hfopenllm_v2/alibaba/netcat420/Qwen2.5-Coder-Scholar-7B-Abliterated-MFANN-Slerp-Unretrained/2f89ceb3-8bc1-48f0-a4cb-3dc1b8acad87.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/netcat420/Qwen2.5-Coder-Scholar-7B-Abliterated-MFANN/bbd39707-6062-461a-8e09-c8b8bc3451f7.json b/data/hfopenllm_v2/alibaba/netcat420/Qwen2.5-Coder-Scholar-7B-Abliterated-MFANN/bbd39707-6062-461a-8e09-c8b8bc3451f7.json
deleted file mode 100644
index 901b5bcf9..000000000
--- a/data/hfopenllm_v2/alibaba/netcat420/Qwen2.5-Coder-Scholar-7B-Abliterated-MFANN/bbd39707-6062-461a-8e09-c8b8bc3451f7.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/alibaba/netcat420/Qwen2.5-DeepSeek-R1-MFANN-Slerp-7b/9b2011ae-9d22-42be-a10b-6ce6e8ff1be4.json b/data/hfopenllm_v2/alibaba/netcat420/Qwen2.5-DeepSeek-R1-MFANN-Slerp-7b/9b2011ae-9d22-42be-a10b-6ce6e8ff1be4.json
deleted file mode 100644
index cece7eaa8..000000000
--- a/data/hfopenllm_v2/alibaba/netcat420/Qwen2.5-DeepSeek-R1-MFANN-Slerp-7b/9b2011ae-9d22-42be-a10b-6ce6e8ff1be4.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/netcat420/Qwen2.5-MFANN-7b/b6578885-9721-4349-ad55-5a80fd054c85.json b/data/hfopenllm_v2/alibaba/netcat420/Qwen2.5-MFANN-7b/b6578885-9721-4349-ad55-5a80fd054c85.json
deleted file mode 100644
index 720e56b3f..000000000
--- a/data/hfopenllm_v2/alibaba/netcat420/Qwen2.5-MFANN-7b/b6578885-9721-4349-ad55-5a80fd054c85.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/netcat420/qwen2.5-MFANN-7b-SLERP-V1.2/dfacdde9-fd5d-496f-8038-aa0439c0c991.json b/data/hfopenllm_v2/alibaba/netcat420/qwen2.5-MFANN-7b-SLERP-V1.2/dfacdde9-fd5d-496f-8038-aa0439c0c991.json
deleted file mode 100644
index 3b328746a..000000000
--- a/data/hfopenllm_v2/alibaba/netcat420/qwen2.5-MFANN-7b-SLERP-V1.2/dfacdde9-fd5d-496f-8038-aa0439c0c991.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/netcat420/qwen2.5-MFANN-7b-SLERPv1.1/0e66b7a6-bd6f-48f7-95e2-c117e0ea468f.json b/data/hfopenllm_v2/alibaba/netcat420/qwen2.5-MFANN-7b-SLERPv1.1/0e66b7a6-bd6f-48f7-95e2-c117e0ea468f.json
deleted file mode 100644
index ad747da7c..000000000
--- a/data/hfopenllm_v2/alibaba/netcat420/qwen2.5-MFANN-7b-SLERPv1.1/0e66b7a6-bd6f-48f7-95e2-c117e0ea468f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/netcat420/qwen2.5-MFANN-7b-v1.1/845f96b7-62dc-4ebc-aa62-fcc6263e437f.json b/data/hfopenllm_v2/alibaba/netcat420/qwen2.5-MFANN-7b-v1.1/845f96b7-62dc-4ebc-aa62-fcc6263e437f.json
deleted file mode 100644
index 9127b17b0..000000000
--- a/data/hfopenllm_v2/alibaba/netcat420/qwen2.5-MFANN-7b-v1.1/845f96b7-62dc-4ebc-aa62-fcc6263e437f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/newsbang/Homer-v0.3-Qwen2.5-7B/0bc5145c-90d0-4a8b-89c6-0b03aa9d0ee1.json b/data/hfopenllm_v2/alibaba/newsbang/Homer-v0.3-Qwen2.5-7B/0bc5145c-90d0-4a8b-89c6-0b03aa9d0ee1.json
deleted file mode 100644
index f34deebe9..000000000
--- a/data/hfopenllm_v2/alibaba/newsbang/Homer-v0.3-Qwen2.5-7B/0bc5145c-90d0-4a8b-89c6-0b03aa9d0ee1.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/newsbang/Homer-v0.4-Qwen2.5-7B/9a022bdc-d1b8-4f2e-a1af-6cd3bad6bded.json b/data/hfopenllm_v2/alibaba/newsbang/Homer-v0.4-Qwen2.5-7B/9a022bdc-d1b8-4f2e-a1af-6cd3bad6bded.json
deleted file mode 100644
index 42a60ce4d..000000000
--- a/data/hfopenllm_v2/alibaba/newsbang/Homer-v0.4-Qwen2.5-7B/9a022bdc-d1b8-4f2e-a1af-6cd3bad6bded.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/newsbang/Homer-v0.5-Qwen2.5-7B/dc22ad83-0752-4f5e-97ac-733ef6c6cf53.json b/data/hfopenllm_v2/alibaba/newsbang/Homer-v0.5-Qwen2.5-7B/dc22ad83-0752-4f5e-97ac-733ef6c6cf53.json
deleted file mode 100644
index d60b2f9ab..000000000
--- a/data/hfopenllm_v2/alibaba/newsbang/Homer-v0.5-Qwen2.5-7B/dc22ad83-0752-4f5e-97ac-733ef6c6cf53.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/newsbang/Homer-v1.0-Qwen2.5-72B/3ebdda73-1c41-4a98-b3cf-ac5d482c8b5c.json b/data/hfopenllm_v2/alibaba/newsbang/Homer-v1.0-Qwen2.5-72B/3ebdda73-1c41-4a98-b3cf-ac5d482c8b5c.json
deleted file mode 100644
index f4970242c..000000000
--- a/data/hfopenllm_v2/alibaba/newsbang/Homer-v1.0-Qwen2.5-72B/3ebdda73-1c41-4a98-b3cf-ac5d482c8b5c.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/newsbang/Homer-v1.0-Qwen2.5-7B/1fe21571-0375-43c3-8071-1aaaf0223baa.json b/data/hfopenllm_v2/alibaba/newsbang/Homer-v1.0-Qwen2.5-7B/1fe21571-0375-43c3-8071-1aaaf0223baa.json
deleted file mode 100644
index 71976b142..000000000
--- a/data/hfopenllm_v2/alibaba/newsbang/Homer-v1.0-Qwen2.5-7B/1fe21571-0375-43c3-8071-1aaaf0223baa.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/nguyentd/FinancialAdvice-Qwen2.5-7B/0ced7574-bfc4-4958-a6f5-0944f9ac411a.json b/data/hfopenllm_v2/alibaba/nguyentd/FinancialAdvice-Qwen2.5-7B/0ced7574-bfc4-4958-a6f5-0944f9ac411a.json
deleted file mode 100644
index 9c76b3e67..000000000
--- a/data/hfopenllm_v2/alibaba/nguyentd/FinancialAdvice-Qwen2.5-7B/0ced7574-bfc4-4958-a6f5-0944f9ac411a.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/nisten/franqwenstein-35b/3e3344d2-6911-4d5f-85d6-6593cbed3b49.json b/data/hfopenllm_v2/alibaba/nisten/franqwenstein-35b/3e3344d2-6911-4d5f-85d6-6593cbed3b49.json
deleted file mode 100644
index 2f591631e..000000000
--- a/data/hfopenllm_v2/alibaba/nisten/franqwenstein-35b/3e3344d2-6911-4d5f-85d6-6593cbed3b49.json
+++ /dev/null
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diff --git a/data/hfopenllm_v2/alibaba/nisten/franqwenstein-35b/ff90ed4a-6dcf-4b9b-9d3a-19f933e2c0c8.json b/data/hfopenllm_v2/alibaba/nisten/franqwenstein-35b/ff90ed4a-6dcf-4b9b-9d3a-19f933e2c0c8.json
deleted file mode 100644
index e08845c0e..000000000
--- a/data/hfopenllm_v2/alibaba/nisten/franqwenstein-35b/ff90ed4a-6dcf-4b9b-9d3a-19f933e2c0c8.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/alibaba/nisten/tqwendo-36b/3a5b1794-12f1-4004-bdb2-309cc950c757.json b/data/hfopenllm_v2/alibaba/nisten/tqwendo-36b/3a5b1794-12f1-4004-bdb2-309cc950c757.json
deleted file mode 100644
index 45668cb40..000000000
--- a/data/hfopenllm_v2/alibaba/nisten/tqwendo-36b/3a5b1794-12f1-4004-bdb2-309cc950c757.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/prithivMLmods/Galactic-Qwen-14B-Exp1/26aea3e6-571c-4751-8b0f-40a86a144973.json b/data/hfopenllm_v2/alibaba/prithivMLmods/Galactic-Qwen-14B-Exp1/26aea3e6-571c-4751-8b0f-40a86a144973.json
deleted file mode 100644
index e9cf25704..000000000
--- a/data/hfopenllm_v2/alibaba/prithivMLmods/Galactic-Qwen-14B-Exp1/26aea3e6-571c-4751-8b0f-40a86a144973.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/prithivMLmods/Galactic-Qwen-14B-Exp2/2fcdb8f8-5ec6-494a-b690-fa96febdb02a.json b/data/hfopenllm_v2/alibaba/prithivMLmods/Galactic-Qwen-14B-Exp2/2fcdb8f8-5ec6-494a-b690-fa96febdb02a.json
deleted file mode 100644
index 2511ea111..000000000
--- a/data/hfopenllm_v2/alibaba/prithivMLmods/Galactic-Qwen-14B-Exp2/2fcdb8f8-5ec6-494a-b690-fa96febdb02a.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/alibaba/prithivMLmods/Magellanic-Qwen-25B-R999/08bfcf7b-e051-4c64-b1ee-0044cfa166f0.json b/data/hfopenllm_v2/alibaba/prithivMLmods/Magellanic-Qwen-25B-R999/08bfcf7b-e051-4c64-b1ee-0044cfa166f0.json
deleted file mode 100644
index 436755f0e..000000000
--- a/data/hfopenllm_v2/alibaba/prithivMLmods/Magellanic-Qwen-25B-R999/08bfcf7b-e051-4c64-b1ee-0044cfa166f0.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/alibaba/prithivMLmods/Qwen-7B-Distill-Reasoner/7afe076b-7f6a-42c1-9c43-652ea3ca94a9.json b/data/hfopenllm_v2/alibaba/prithivMLmods/Qwen-7B-Distill-Reasoner/7afe076b-7f6a-42c1-9c43-652ea3ca94a9.json
deleted file mode 100644
index e5b1098e4..000000000
--- a/data/hfopenllm_v2/alibaba/prithivMLmods/Qwen-7B-Distill-Reasoner/7afe076b-7f6a-42c1-9c43-652ea3ca94a9.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-    "developer": "alibaba",
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diff --git a/data/hfopenllm_v2/alibaba/prithivMLmods/Qwen2.5-14B-DeepSeek-R1-1M/eacd8987-9631-4199-97ef-2cdc41879e8b.json b/data/hfopenllm_v2/alibaba/prithivMLmods/Qwen2.5-14B-DeepSeek-R1-1M/eacd8987-9631-4199-97ef-2cdc41879e8b.json
deleted file mode 100644
index 649397dd7..000000000
--- a/data/hfopenllm_v2/alibaba/prithivMLmods/Qwen2.5-14B-DeepSeek-R1-1M/eacd8987-9631-4199-97ef-2cdc41879e8b.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/prithivMLmods/Qwen2.5-7B-DeepSeek-R1-1M/4edb337d-b56c-4009-9199-22223d4ff9f8.json b/data/hfopenllm_v2/alibaba/prithivMLmods/Qwen2.5-7B-DeepSeek-R1-1M/4edb337d-b56c-4009-9199-22223d4ff9f8.json
deleted file mode 100644
index 584476867..000000000
--- a/data/hfopenllm_v2/alibaba/prithivMLmods/Qwen2.5-7B-DeepSeek-R1-1M/4edb337d-b56c-4009-9199-22223d4ff9f8.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/qingy2024/Qwen2.5-4B/c332cc18-e556-4b23-a45d-df26c250faa2.json b/data/hfopenllm_v2/alibaba/qingy2024/Qwen2.5-4B/c332cc18-e556-4b23-a45d-df26c250faa2.json
deleted file mode 100644
index 899f4d38f..000000000
--- a/data/hfopenllm_v2/alibaba/qingy2024/Qwen2.5-4B/c332cc18-e556-4b23-a45d-df26c250faa2.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/rombodawg/Rombos-Coder-V2.5-Qwen-14b/4f7b356a-1484-458c-8bc1-2640e039ab70.json b/data/hfopenllm_v2/alibaba/rombodawg/Rombos-Coder-V2.5-Qwen-14b/4f7b356a-1484-458c-8bc1-2640e039ab70.json
deleted file mode 100644
index 0acbe2cda..000000000
--- a/data/hfopenllm_v2/alibaba/rombodawg/Rombos-Coder-V2.5-Qwen-14b/4f7b356a-1484-458c-8bc1-2640e039ab70.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/rombodawg/Rombos-Coder-V2.5-Qwen-7b/ca077d1a-a122-4040-b7d9-924773ce67ca.json b/data/hfopenllm_v2/alibaba/rombodawg/Rombos-Coder-V2.5-Qwen-7b/ca077d1a-a122-4040-b7d9-924773ce67ca.json
deleted file mode 100644
index d596efc7e..000000000
--- a/data/hfopenllm_v2/alibaba/rombodawg/Rombos-Coder-V2.5-Qwen-7b/ca077d1a-a122-4040-b7d9-924773ce67ca.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/rombodawg/Rombos-LLM-V2.5-Qwen-0.5b/796ed438-2be4-45e6-9de9-c98ddd51f3d4.json b/data/hfopenllm_v2/alibaba/rombodawg/Rombos-LLM-V2.5-Qwen-0.5b/796ed438-2be4-45e6-9de9-c98ddd51f3d4.json
deleted file mode 100644
index 154eb23a9..000000000
--- a/data/hfopenllm_v2/alibaba/rombodawg/Rombos-LLM-V2.5-Qwen-0.5b/796ed438-2be4-45e6-9de9-c98ddd51f3d4.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/rombodawg/Rombos-LLM-V2.5-Qwen-1.5b/51f579c0-b5b4-4e01-9c19-b68fb6a21210.json b/data/hfopenllm_v2/alibaba/rombodawg/Rombos-LLM-V2.5-Qwen-1.5b/51f579c0-b5b4-4e01-9c19-b68fb6a21210.json
deleted file mode 100644
index fc410964b..000000000
--- a/data/hfopenllm_v2/alibaba/rombodawg/Rombos-LLM-V2.5-Qwen-1.5b/51f579c0-b5b4-4e01-9c19-b68fb6a21210.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/rombodawg/Rombos-LLM-V2.5-Qwen-14b/91ec838e-699a-4c68-aa42-a9f0b3b6b0c2.json b/data/hfopenllm_v2/alibaba/rombodawg/Rombos-LLM-V2.5-Qwen-14b/91ec838e-699a-4c68-aa42-a9f0b3b6b0c2.json
deleted file mode 100644
index 82dbaefa2..000000000
--- a/data/hfopenllm_v2/alibaba/rombodawg/Rombos-LLM-V2.5-Qwen-14b/91ec838e-699a-4c68-aa42-a9f0b3b6b0c2.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/rombodawg/Rombos-LLM-V2.5-Qwen-32b/07e926c9-d8bb-41da-b41e-8fddc9fb99d8.json b/data/hfopenllm_v2/alibaba/rombodawg/Rombos-LLM-V2.5-Qwen-32b/07e926c9-d8bb-41da-b41e-8fddc9fb99d8.json
deleted file mode 100644
index 5d0f683f6..000000000
--- a/data/hfopenllm_v2/alibaba/rombodawg/Rombos-LLM-V2.5-Qwen-32b/07e926c9-d8bb-41da-b41e-8fddc9fb99d8.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/rombodawg/Rombos-LLM-V2.5-Qwen-3b/976e132a-8352-43fd-abdf-0fc4a04e9429.json b/data/hfopenllm_v2/alibaba/rombodawg/Rombos-LLM-V2.5-Qwen-3b/976e132a-8352-43fd-abdf-0fc4a04e9429.json
deleted file mode 100644
index c1091d904..000000000
--- a/data/hfopenllm_v2/alibaba/rombodawg/Rombos-LLM-V2.5-Qwen-3b/976e132a-8352-43fd-abdf-0fc4a04e9429.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/rombodawg/Rombos-LLM-V2.5-Qwen-72b/1ae05e9f-d432-4e7f-a662-4b4a118333d9.json b/data/hfopenllm_v2/alibaba/rombodawg/Rombos-LLM-V2.5-Qwen-72b/1ae05e9f-d432-4e7f-a662-4b4a118333d9.json
deleted file mode 100644
index 6e7d96615..000000000
--- a/data/hfopenllm_v2/alibaba/rombodawg/Rombos-LLM-V2.5-Qwen-72b/1ae05e9f-d432-4e7f-a662-4b4a118333d9.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/rombodawg/Rombos-LLM-V2.5-Qwen-7b/23ec1efe-a9a1-41cb-9695-4be0ceb3c199.json b/data/hfopenllm_v2/alibaba/rombodawg/Rombos-LLM-V2.5-Qwen-7b/23ec1efe-a9a1-41cb-9695-4be0ceb3c199.json
deleted file mode 100644
index 0701bdd2f..000000000
--- a/data/hfopenllm_v2/alibaba/rombodawg/Rombos-LLM-V2.5-Qwen-7b/23ec1efe-a9a1-41cb-9695-4be0ceb3c199.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/rombodawg/Rombos-LLM-V2.5.1-Qwen-3b/3f1ffcf0-10bb-46b2-ae30-3eb958e943a1.json b/data/hfopenllm_v2/alibaba/rombodawg/Rombos-LLM-V2.5.1-Qwen-3b/3f1ffcf0-10bb-46b2-ae30-3eb958e943a1.json
deleted file mode 100644
index bc4b4c985..000000000
--- a/data/hfopenllm_v2/alibaba/rombodawg/Rombos-LLM-V2.5.1-Qwen-3b/3f1ffcf0-10bb-46b2-ae30-3eb958e943a1.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/rombodawg/Rombos-LLM-V2.5.1-Qwen-3b/91240596-5842-4441-b976-01ed7545bd1f.json b/data/hfopenllm_v2/alibaba/rombodawg/Rombos-LLM-V2.5.1-Qwen-3b/91240596-5842-4441-b976-01ed7545bd1f.json
deleted file mode 100644
index fc217fb78..000000000
--- a/data/hfopenllm_v2/alibaba/rombodawg/Rombos-LLM-V2.5.1-Qwen-3b/91240596-5842-4441-b976-01ed7545bd1f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/rombodawg/Rombos-LLM-V2.6-Qwen-14b/5842364a-2721-4882-90f3-97eba7c3b93a.json b/data/hfopenllm_v2/alibaba/rombodawg/Rombos-LLM-V2.6-Qwen-14b/5842364a-2721-4882-90f3-97eba7c3b93a.json
deleted file mode 100644
index 98028f876..000000000
--- a/data/hfopenllm_v2/alibaba/rombodawg/Rombos-LLM-V2.6-Qwen-14b/5842364a-2721-4882-90f3-97eba7c3b93a.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/securin/Securin-LLM-V2.5-Qwen-1.5B/cbd0163f-fbea-4f40-a26b-a0508ec02061.json b/data/hfopenllm_v2/alibaba/securin/Securin-LLM-V2.5-Qwen-1.5B/cbd0163f-fbea-4f40-a26b-a0508ec02061.json
deleted file mode 100644
index 053ed930b..000000000
--- a/data/hfopenllm_v2/alibaba/securin/Securin-LLM-V2.5-Qwen-1.5B/cbd0163f-fbea-4f40-a26b-a0508ec02061.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/sethuiyer/Qwen2.5-7B-Anvita/f2571e64-be03-4482-b5b4-d120444b0586.json b/data/hfopenllm_v2/alibaba/sethuiyer/Qwen2.5-7B-Anvita/f2571e64-be03-4482-b5b4-d120444b0586.json
deleted file mode 100644
index b17542c4f..000000000
--- a/data/hfopenllm_v2/alibaba/sethuiyer/Qwen2.5-7B-Anvita/f2571e64-be03-4482-b5b4-d120444b0586.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
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diff --git a/data/hfopenllm_v2/alibaba/someon98/qwen-CoMa-0.5b/be4ee67a-59d7-4098-992e-5f75cd53cdbc.json b/data/hfopenllm_v2/alibaba/someon98/qwen-CoMa-0.5b/be4ee67a-59d7-4098-992e-5f75cd53cdbc.json
deleted file mode 100644
index 3214fb779..000000000
--- a/data/hfopenllm_v2/alibaba/someon98/qwen-CoMa-0.5b/be4ee67a-59d7-4098-992e-5f75cd53cdbc.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/sometimesanotion/Lamarck-14B-v0.4-Qwenvergence/41393c10-c1e5-4ccd-bcb1-df5392cb8ec6.json b/data/hfopenllm_v2/alibaba/sometimesanotion/Lamarck-14B-v0.4-Qwenvergence/41393c10-c1e5-4ccd-bcb1-df5392cb8ec6.json
deleted file mode 100644
index 6dc75df01..000000000
--- a/data/hfopenllm_v2/alibaba/sometimesanotion/Lamarck-14B-v0.4-Qwenvergence/41393c10-c1e5-4ccd-bcb1-df5392cb8ec6.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-    "developer": "alibaba",
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diff --git a/data/hfopenllm_v2/alibaba/sometimesanotion/Qwen-14B-ProseStock-v4/e68bc90b-1274-4e28-b280-65e6ceba53f8.json b/data/hfopenllm_v2/alibaba/sometimesanotion/Qwen-14B-ProseStock-v4/e68bc90b-1274-4e28-b280-65e6ceba53f8.json
deleted file mode 100644
index 4dbab09a5..000000000
--- a/data/hfopenllm_v2/alibaba/sometimesanotion/Qwen-14B-ProseStock-v4/e68bc90b-1274-4e28-b280-65e6ceba53f8.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/sometimesanotion/Qwen-2.5-14B-Virmarckeoso/dc7af75a-f45a-449a-b6ba-cc033d7de79f.json b/data/hfopenllm_v2/alibaba/sometimesanotion/Qwen-2.5-14B-Virmarckeoso/dc7af75a-f45a-449a-b6ba-cc033d7de79f.json
deleted file mode 100644
index 2fe96134a..000000000
--- a/data/hfopenllm_v2/alibaba/sometimesanotion/Qwen-2.5-14B-Virmarckeoso/dc7af75a-f45a-449a-b6ba-cc033d7de79f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/sometimesanotion/Qwen2.5-14B-Vimarckoso-v2/5242491e-deb4-41ae-8d70-5b0d8ffb7bc7.json b/data/hfopenllm_v2/alibaba/sometimesanotion/Qwen2.5-14B-Vimarckoso-v2/5242491e-deb4-41ae-8d70-5b0d8ffb7bc7.json
deleted file mode 100644
index ffb303cc8..000000000
--- a/data/hfopenllm_v2/alibaba/sometimesanotion/Qwen2.5-14B-Vimarckoso-v2/5242491e-deb4-41ae-8d70-5b0d8ffb7bc7.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/sometimesanotion/Qwen2.5-14B-Vimarckoso-v3-IF-Variant/9df5ab5a-16cf-478f-87f0-1b8717e1e330.json b/data/hfopenllm_v2/alibaba/sometimesanotion/Qwen2.5-14B-Vimarckoso-v3-IF-Variant/9df5ab5a-16cf-478f-87f0-1b8717e1e330.json
deleted file mode 100644
index 620f7f622..000000000
--- a/data/hfopenllm_v2/alibaba/sometimesanotion/Qwen2.5-14B-Vimarckoso-v3-IF-Variant/9df5ab5a-16cf-478f-87f0-1b8717e1e330.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/sometimesanotion/Qwen2.5-14B-Vimarckoso-v3-Prose01/dd84656a-3b61-4241-a2eb-a5f52ff58ed2.json b/data/hfopenllm_v2/alibaba/sometimesanotion/Qwen2.5-14B-Vimarckoso-v3-Prose01/dd84656a-3b61-4241-a2eb-a5f52ff58ed2.json
deleted file mode 100644
index c35592591..000000000
--- a/data/hfopenllm_v2/alibaba/sometimesanotion/Qwen2.5-14B-Vimarckoso-v3-Prose01/dd84656a-3b61-4241-a2eb-a5f52ff58ed2.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/sometimesanotion/Qwen2.5-14B-Vimarckoso-v3-model_stock/ba7b8cb4-608a-4bf0-b107-51e721f88dee.json b/data/hfopenllm_v2/alibaba/sometimesanotion/Qwen2.5-14B-Vimarckoso-v3-model_stock/ba7b8cb4-608a-4bf0-b107-51e721f88dee.json
deleted file mode 100644
index 7777073af..000000000
--- a/data/hfopenllm_v2/alibaba/sometimesanotion/Qwen2.5-14B-Vimarckoso-v3-model_stock/ba7b8cb4-608a-4bf0-b107-51e721f88dee.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/sometimesanotion/Qwen2.5-14B-Vimarckoso-v3/9e453ef2-bae1-4a06-8778-d9c0dfae33e8.json b/data/hfopenllm_v2/alibaba/sometimesanotion/Qwen2.5-14B-Vimarckoso-v3/9e453ef2-bae1-4a06-8778-d9c0dfae33e8.json
deleted file mode 100644
index 8ac8c5618..000000000
--- a/data/hfopenllm_v2/alibaba/sometimesanotion/Qwen2.5-14B-Vimarckoso-v3/9e453ef2-bae1-4a06-8778-d9c0dfae33e8.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/sometimesanotion/Qwen2.5-14B-Vimarckoso/b3b73406-3b25-4a23-9e13-53fafdd66552.json b/data/hfopenllm_v2/alibaba/sometimesanotion/Qwen2.5-14B-Vimarckoso/b3b73406-3b25-4a23-9e13-53fafdd66552.json
deleted file mode 100644
index cd643dbea..000000000
--- a/data/hfopenllm_v2/alibaba/sometimesanotion/Qwen2.5-14B-Vimarckoso/b3b73406-3b25-4a23-9e13-53fafdd66552.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/sometimesanotion/Qwen2.5-7B-Gordion-v0.1-Prose/dceb35c6-30bb-483c-aa62-8273b409311b.json b/data/hfopenllm_v2/alibaba/sometimesanotion/Qwen2.5-7B-Gordion-v0.1-Prose/dceb35c6-30bb-483c-aa62-8273b409311b.json
deleted file mode 100644
index 8a6e72084..000000000
--- a/data/hfopenllm_v2/alibaba/sometimesanotion/Qwen2.5-7B-Gordion-v0.1-Prose/dceb35c6-30bb-483c-aa62-8273b409311b.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/sometimesanotion/Qwen2.5-7B-Gordion-v0.1-Reason/100a253a-3409-4145-8a9d-0bf821e3ce91.json b/data/hfopenllm_v2/alibaba/sometimesanotion/Qwen2.5-7B-Gordion-v0.1-Reason/100a253a-3409-4145-8a9d-0bf821e3ce91.json
deleted file mode 100644
index fc693d552..000000000
--- a/data/hfopenllm_v2/alibaba/sometimesanotion/Qwen2.5-7B-Gordion-v0.1-Reason/100a253a-3409-4145-8a9d-0bf821e3ce91.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/sometimesanotion/Qwen2.5-7B-Gordion-v0.1/174b2a17-c4fa-4021-868b-9c23a99603c9.json b/data/hfopenllm_v2/alibaba/sometimesanotion/Qwen2.5-7B-Gordion-v0.1/174b2a17-c4fa-4021-868b-9c23a99603c9.json
deleted file mode 100644
index 6fdbb4db9..000000000
--- a/data/hfopenllm_v2/alibaba/sometimesanotion/Qwen2.5-7B-Gordion-v0.1/174b2a17-c4fa-4021-868b-9c23a99603c9.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/sometimesanotion/Qwentessential-14B-v1/3cce1e77-5dfc-44d2-b0c2-f7220d989e9d.json b/data/hfopenllm_v2/alibaba/sometimesanotion/Qwentessential-14B-v1/3cce1e77-5dfc-44d2-b0c2-f7220d989e9d.json
deleted file mode 100644
index 68e900d25..000000000
--- a/data/hfopenllm_v2/alibaba/sometimesanotion/Qwentessential-14B-v1/3cce1e77-5dfc-44d2-b0c2-f7220d989e9d.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/sometimesanotion/Qwentinuum-14B-v013/8127e367-fbd2-475d-a4f0-b8895dec6741.json b/data/hfopenllm_v2/alibaba/sometimesanotion/Qwentinuum-14B-v013/8127e367-fbd2-475d-a4f0-b8895dec6741.json
deleted file mode 100644
index 06f0b7182..000000000
--- a/data/hfopenllm_v2/alibaba/sometimesanotion/Qwentinuum-14B-v013/8127e367-fbd2-475d-a4f0-b8895dec6741.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/sometimesanotion/Qwentinuum-14B-v1/c68a024d-fa21-4584-bde5-42121e919af7.json b/data/hfopenllm_v2/alibaba/sometimesanotion/Qwentinuum-14B-v1/c68a024d-fa21-4584-bde5-42121e919af7.json
deleted file mode 100644
index 41529ca3b..000000000
--- a/data/hfopenllm_v2/alibaba/sometimesanotion/Qwentinuum-14B-v1/c68a024d-fa21-4584-bde5-42121e919af7.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/sometimesanotion/Qwentinuum-14B-v2/ce1feb87-4f78-4ff1-a548-b3409591166f.json b/data/hfopenllm_v2/alibaba/sometimesanotion/Qwentinuum-14B-v2/ce1feb87-4f78-4ff1-a548-b3409591166f.json
deleted file mode 100644
index 6d8b63216..000000000
--- a/data/hfopenllm_v2/alibaba/sometimesanotion/Qwentinuum-14B-v2/ce1feb87-4f78-4ff1-a548-b3409591166f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/sometimesanotion/Qwentinuum-14B-v3/96b75db5-4e23-4179-bbf7-801f35d31af7.json b/data/hfopenllm_v2/alibaba/sometimesanotion/Qwentinuum-14B-v3/96b75db5-4e23-4179-bbf7-801f35d31af7.json
deleted file mode 100644
index 70f93df52..000000000
--- a/data/hfopenllm_v2/alibaba/sometimesanotion/Qwentinuum-14B-v3/96b75db5-4e23-4179-bbf7-801f35d31af7.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/sometimesanotion/Qwentinuum-14B-v5/16e0de9b-9717-4451-babc-8df8748c4efe.json b/data/hfopenllm_v2/alibaba/sometimesanotion/Qwentinuum-14B-v5/16e0de9b-9717-4451-babc-8df8748c4efe.json
deleted file mode 100644
index bc3f7eebe..000000000
--- a/data/hfopenllm_v2/alibaba/sometimesanotion/Qwentinuum-14B-v5/16e0de9b-9717-4451-babc-8df8748c4efe.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/sometimesanotion/Qwentinuum-14B-v6-Prose/8eecc1a5-d42e-423c-9155-daf66a414361.json b/data/hfopenllm_v2/alibaba/sometimesanotion/Qwentinuum-14B-v6-Prose/8eecc1a5-d42e-423c-9155-daf66a414361.json
deleted file mode 100644
index 583aabb03..000000000
--- a/data/hfopenllm_v2/alibaba/sometimesanotion/Qwentinuum-14B-v6-Prose/8eecc1a5-d42e-423c-9155-daf66a414361.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/sometimesanotion/Qwentinuum-14B-v6/93e0bcb6-be72-4e9c-adbc-c8fce3240b0d.json b/data/hfopenllm_v2/alibaba/sometimesanotion/Qwentinuum-14B-v6/93e0bcb6-be72-4e9c-adbc-c8fce3240b0d.json
deleted file mode 100644
index 2ba474c5e..000000000
--- a/data/hfopenllm_v2/alibaba/sometimesanotion/Qwentinuum-14B-v6/93e0bcb6-be72-4e9c-adbc-c8fce3240b0d.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/sometimesanotion/Qwentinuum-14B-v7/6aaa1633-f780-42d4-b43e-5a4d31cf7aae.json b/data/hfopenllm_v2/alibaba/sometimesanotion/Qwentinuum-14B-v7/6aaa1633-f780-42d4-b43e-5a4d31cf7aae.json
deleted file mode 100644
index b07ba418e..000000000
--- a/data/hfopenllm_v2/alibaba/sometimesanotion/Qwentinuum-14B-v7/6aaa1633-f780-42d4-b43e-5a4d31cf7aae.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/sometimesanotion/Qwentinuum-14B-v8/6be09829-08e5-4d45-a091-5451f6c74d51.json b/data/hfopenllm_v2/alibaba/sometimesanotion/Qwentinuum-14B-v8/6be09829-08e5-4d45-a091-5451f6c74d51.json
deleted file mode 100644
index 34d79c59e..000000000
--- a/data/hfopenllm_v2/alibaba/sometimesanotion/Qwentinuum-14B-v8/6be09829-08e5-4d45-a091-5451f6c74d51.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/sometimesanotion/Qwentinuum-14B-v9/cea3e14d-a43d-4e32-b8fc-d8ae995190d8.json b/data/hfopenllm_v2/alibaba/sometimesanotion/Qwentinuum-14B-v9/cea3e14d-a43d-4e32-b8fc-d8ae995190d8.json
deleted file mode 100644
index eb20ffe34..000000000
--- a/data/hfopenllm_v2/alibaba/sometimesanotion/Qwentinuum-14B-v9/cea3e14d-a43d-4e32-b8fc-d8ae995190d8.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/sometimesanotion/Qwenvergence-14B-qv256/f06fc349-e84e-4ec7-a9c9-8819896c2beb.json b/data/hfopenllm_v2/alibaba/sometimesanotion/Qwenvergence-14B-qv256/f06fc349-e84e-4ec7-a9c9-8819896c2beb.json
deleted file mode 100644
index 56305e394..000000000
--- a/data/hfopenllm_v2/alibaba/sometimesanotion/Qwenvergence-14B-qv256/f06fc349-e84e-4ec7-a9c9-8819896c2beb.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/sometimesanotion/Qwenvergence-14B-v0.6-004-model_stock/86591e86-5bfb-4e8e-b910-bf6b5011562c.json b/data/hfopenllm_v2/alibaba/sometimesanotion/Qwenvergence-14B-v0.6-004-model_stock/86591e86-5bfb-4e8e-b910-bf6b5011562c.json
deleted file mode 100644
index 8af547819..000000000
--- a/data/hfopenllm_v2/alibaba/sometimesanotion/Qwenvergence-14B-v0.6-004-model_stock/86591e86-5bfb-4e8e-b910-bf6b5011562c.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/sometimesanotion/Qwenvergence-14B-v10/f2b35397-f539-4129-8e1f-f9dae9c9431b.json b/data/hfopenllm_v2/alibaba/sometimesanotion/Qwenvergence-14B-v10/f2b35397-f539-4129-8e1f-f9dae9c9431b.json
deleted file mode 100644
index 0f8a3a07b..000000000
--- a/data/hfopenllm_v2/alibaba/sometimesanotion/Qwenvergence-14B-v10/f2b35397-f539-4129-8e1f-f9dae9c9431b.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/sometimesanotion/Qwenvergence-14B-v11/50ae9dc0-efcc-43cb-8704-6dfb9270656a.json b/data/hfopenllm_v2/alibaba/sometimesanotion/Qwenvergence-14B-v11/50ae9dc0-efcc-43cb-8704-6dfb9270656a.json
deleted file mode 100644
index a8c34830d..000000000
--- a/data/hfopenllm_v2/alibaba/sometimesanotion/Qwenvergence-14B-v11/50ae9dc0-efcc-43cb-8704-6dfb9270656a.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/sometimesanotion/Qwenvergence-14B-v12-Prose-DS/a6c5b80d-e685-405a-8444-1be1ed763d2e.json b/data/hfopenllm_v2/alibaba/sometimesanotion/Qwenvergence-14B-v12-Prose-DS/a6c5b80d-e685-405a-8444-1be1ed763d2e.json
deleted file mode 100644
index cfe882809..000000000
--- a/data/hfopenllm_v2/alibaba/sometimesanotion/Qwenvergence-14B-v12-Prose-DS/a6c5b80d-e685-405a-8444-1be1ed763d2e.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/sometimesanotion/Qwenvergence-14B-v12-Prose/052e63b2-028b-4a4a-ae2b-51514e982239.json b/data/hfopenllm_v2/alibaba/sometimesanotion/Qwenvergence-14B-v12-Prose/052e63b2-028b-4a4a-ae2b-51514e982239.json
deleted file mode 100644
index b6478763b..000000000
--- a/data/hfopenllm_v2/alibaba/sometimesanotion/Qwenvergence-14B-v12-Prose/052e63b2-028b-4a4a-ae2b-51514e982239.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/sometimesanotion/Qwenvergence-14B-v13-Prose-DS/f205507c-48ef-4a40-a0e8-39f5f7bf2cdb.json b/data/hfopenllm_v2/alibaba/sometimesanotion/Qwenvergence-14B-v13-Prose-DS/f205507c-48ef-4a40-a0e8-39f5f7bf2cdb.json
deleted file mode 100644
index c4bee270a..000000000
--- a/data/hfopenllm_v2/alibaba/sometimesanotion/Qwenvergence-14B-v13-Prose-DS/f205507c-48ef-4a40-a0e8-39f5f7bf2cdb.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/sometimesanotion/Qwenvergence-14B-v15-Prose-MS/a9434630-a7cd-4dc1-b542-e76402344166.json b/data/hfopenllm_v2/alibaba/sometimesanotion/Qwenvergence-14B-v15-Prose-MS/a9434630-a7cd-4dc1-b542-e76402344166.json
deleted file mode 100644
index 53934b9b9..000000000
--- a/data/hfopenllm_v2/alibaba/sometimesanotion/Qwenvergence-14B-v15-Prose-MS/a9434630-a7cd-4dc1-b542-e76402344166.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/sometimesanotion/Qwenvergence-14B-v2-Prose/f639d7e3-ffb9-4dc5-ab20-993522afa5b4.json b/data/hfopenllm_v2/alibaba/sometimesanotion/Qwenvergence-14B-v2-Prose/f639d7e3-ffb9-4dc5-ab20-993522afa5b4.json
deleted file mode 100644
index a28fddcd6..000000000
--- a/data/hfopenllm_v2/alibaba/sometimesanotion/Qwenvergence-14B-v2-Prose/f639d7e3-ffb9-4dc5-ab20-993522afa5b4.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/sometimesanotion/Qwenvergence-14B-v3-Prose/37c4d6b3-9964-45d3-a6ed-8b84229ed304.json b/data/hfopenllm_v2/alibaba/sometimesanotion/Qwenvergence-14B-v3-Prose/37c4d6b3-9964-45d3-a6ed-8b84229ed304.json
deleted file mode 100644
index 242f3b1e6..000000000
--- a/data/hfopenllm_v2/alibaba/sometimesanotion/Qwenvergence-14B-v3-Prose/37c4d6b3-9964-45d3-a6ed-8b84229ed304.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/alibaba/sometimesanotion/Qwenvergence-14B-v3-Reason/50c37538-a425-4b30-a9e0-9a60f6b2492f.json b/data/hfopenllm_v2/alibaba/sometimesanotion/Qwenvergence-14B-v3-Reason/50c37538-a425-4b30-a9e0-9a60f6b2492f.json
deleted file mode 100644
index fb6aee67b..000000000
--- a/data/hfopenllm_v2/alibaba/sometimesanotion/Qwenvergence-14B-v3-Reason/50c37538-a425-4b30-a9e0-9a60f6b2492f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/sometimesanotion/Qwenvergence-14B-v3-Reason/58ac7b57-e498-4de0-95aa-475c9c56aaf6.json b/data/hfopenllm_v2/alibaba/sometimesanotion/Qwenvergence-14B-v3-Reason/58ac7b57-e498-4de0-95aa-475c9c56aaf6.json
deleted file mode 100644
index a858c6f77..000000000
--- a/data/hfopenllm_v2/alibaba/sometimesanotion/Qwenvergence-14B-v3-Reason/58ac7b57-e498-4de0-95aa-475c9c56aaf6.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/sometimesanotion/Qwenvergence-14B-v3/6cefa467-dae0-4b8b-bd5c-3343f1bfe111.json b/data/hfopenllm_v2/alibaba/sometimesanotion/Qwenvergence-14B-v3/6cefa467-dae0-4b8b-bd5c-3343f1bfe111.json
deleted file mode 100644
index f13d2be28..000000000
--- a/data/hfopenllm_v2/alibaba/sometimesanotion/Qwenvergence-14B-v3/6cefa467-dae0-4b8b-bd5c-3343f1bfe111.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/sometimesanotion/Qwenvergence-14B-v6-Prose-model_stock/7f57b41f-d8e8-46a0-ad1f-2638e287bce7.json b/data/hfopenllm_v2/alibaba/sometimesanotion/Qwenvergence-14B-v6-Prose-model_stock/7f57b41f-d8e8-46a0-ad1f-2638e287bce7.json
deleted file mode 100644
index 7a161fe9b..000000000
--- a/data/hfopenllm_v2/alibaba/sometimesanotion/Qwenvergence-14B-v6-Prose-model_stock/7f57b41f-d8e8-46a0-ad1f-2638e287bce7.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/sometimesanotion/Qwenvergence-14B-v6-Prose/fa88bc37-eb6b-4d69-8983-7a489ab09665.json b/data/hfopenllm_v2/alibaba/sometimesanotion/Qwenvergence-14B-v6-Prose/fa88bc37-eb6b-4d69-8983-7a489ab09665.json
deleted file mode 100644
index 5119e2e75..000000000
--- a/data/hfopenllm_v2/alibaba/sometimesanotion/Qwenvergence-14B-v6-Prose/fa88bc37-eb6b-4d69-8983-7a489ab09665.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/sometimesanotion/Qwenvergence-14B-v8/9332e745-f594-40a9-af22-98709efc179d.json b/data/hfopenllm_v2/alibaba/sometimesanotion/Qwenvergence-14B-v8/9332e745-f594-40a9-af22-98709efc179d.json
deleted file mode 100644
index a0b3ed862..000000000
--- a/data/hfopenllm_v2/alibaba/sometimesanotion/Qwenvergence-14B-v8/9332e745-f594-40a9-af22-98709efc179d.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/sometimesanotion/Qwenvergence-14B-v9/65c35557-ec37-49c3-b7f6-11ce837500f0.json b/data/hfopenllm_v2/alibaba/sometimesanotion/Qwenvergence-14B-v9/65c35557-ec37-49c3-b7f6-11ce837500f0.json
deleted file mode 100644
index 16aec66b3..000000000
--- a/data/hfopenllm_v2/alibaba/sometimesanotion/Qwenvergence-14B-v9/65c35557-ec37-49c3-b7f6-11ce837500f0.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/sumink/Qwenftmodel/aece90fe-f0eb-4c34-afd0-7a4fc36dc385.json b/data/hfopenllm_v2/alibaba/sumink/Qwenftmodel/aece90fe-f0eb-4c34-afd0-7a4fc36dc385.json
deleted file mode 100644
index aa3fb0cc5..000000000
--- a/data/hfopenllm_v2/alibaba/sumink/Qwenftmodel/aece90fe-f0eb-4c34-afd0-7a4fc36dc385.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/sumink/Qwenmplus/fc41cf78-6547-4fe6-83aa-ef5edd99a392.json b/data/hfopenllm_v2/alibaba/sumink/Qwenmplus/fc41cf78-6547-4fe6-83aa-ef5edd99a392.json
deleted file mode 100644
index 1975f0658..000000000
--- a/data/hfopenllm_v2/alibaba/sumink/Qwenmplus/fc41cf78-6547-4fe6-83aa-ef5edd99a392.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/sumink/Qwensci/57a9ff0c-795f-45c4-b0c7-ad0c7400c88d.json b/data/hfopenllm_v2/alibaba/sumink/Qwensci/57a9ff0c-795f-45c4-b0c7-ad0c7400c88d.json
deleted file mode 100644
index c7e15bfb2..000000000
--- a/data/hfopenllm_v2/alibaba/sumink/Qwensci/57a9ff0c-795f-45c4-b0c7-ad0c7400c88d.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/sumink/bbhqwen/7c73720a-03d8-4d90-9557-cd579c7c3e86.json b/data/hfopenllm_v2/alibaba/sumink/bbhqwen/7c73720a-03d8-4d90-9557-cd579c7c3e86.json
deleted file mode 100644
index f7ba2e9ea..000000000
--- a/data/hfopenllm_v2/alibaba/sumink/bbhqwen/7c73720a-03d8-4d90-9557-cd579c7c3e86.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/sumink/bbhqwen2/b4dbcb3f-11dd-4bce-9d45-869ae7c8f9b1.json b/data/hfopenllm_v2/alibaba/sumink/bbhqwen2/b4dbcb3f-11dd-4bce-9d45-869ae7c8f9b1.json
deleted file mode 100644
index 1156a6a4f..000000000
--- a/data/hfopenllm_v2/alibaba/sumink/bbhqwen2/b4dbcb3f-11dd-4bce-9d45-869ae7c8f9b1.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/sumink/bbhqwen3/b9dae1c0-8088-4ffb-9e91-0f6579b3147e.json b/data/hfopenllm_v2/alibaba/sumink/bbhqwen3/b9dae1c0-8088-4ffb-9e91-0f6579b3147e.json
deleted file mode 100644
index 1a1e075d1..000000000
--- a/data/hfopenllm_v2/alibaba/sumink/bbhqwen3/b9dae1c0-8088-4ffb-9e91-0f6579b3147e.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/sumink/bbhqwen4/336dbfac-133a-46c8-87c9-40f1ad12a714.json b/data/hfopenllm_v2/alibaba/sumink/bbhqwen4/336dbfac-133a-46c8-87c9-40f1ad12a714.json
deleted file mode 100644
index 4d9cc1f63..000000000
--- a/data/hfopenllm_v2/alibaba/sumink/bbhqwen4/336dbfac-133a-46c8-87c9-40f1ad12a714.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/sumink/bbhqwen5/4b528bc8-e94a-4437-8c1c-bcd823bf5f45.json b/data/hfopenllm_v2/alibaba/sumink/bbhqwen5/4b528bc8-e94a-4437-8c1c-bcd823bf5f45.json
deleted file mode 100644
index 2b38e3e31..000000000
--- a/data/hfopenllm_v2/alibaba/sumink/bbhqwen5/4b528bc8-e94a-4437-8c1c-bcd823bf5f45.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/sumink/bbhqwen6/f585e5fe-c3b5-4134-97ed-67b57d74adb8.json b/data/hfopenllm_v2/alibaba/sumink/bbhqwen6/f585e5fe-c3b5-4134-97ed-67b57d74adb8.json
deleted file mode 100644
index 0eeeb5ea2..000000000
--- a/data/hfopenllm_v2/alibaba/sumink/bbhqwen6/f585e5fe-c3b5-4134-97ed-67b57d74adb8.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/synergetic/FrankenQwen2.5-14B/5f69b85b-d66c-400b-8d40-58b96233ec3c.json b/data/hfopenllm_v2/alibaba/synergetic/FrankenQwen2.5-14B/5f69b85b-d66c-400b-8d40-58b96233ec3c.json
deleted file mode 100644
index dbf2d553e..000000000
--- a/data/hfopenllm_v2/alibaba/synergetic/FrankenQwen2.5-14B/5f69b85b-d66c-400b-8d40-58b96233ec3c.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/tensopolis/qwen2.5-14b-tensopolis-v1/a3ff3d30-5dec-4ec3-87b9-004d570b005a.json b/data/hfopenllm_v2/alibaba/tensopolis/qwen2.5-14b-tensopolis-v1/a3ff3d30-5dec-4ec3-87b9-004d570b005a.json
deleted file mode 100644
index bb60c06d2..000000000
--- a/data/hfopenllm_v2/alibaba/tensopolis/qwen2.5-14b-tensopolis-v1/a3ff3d30-5dec-4ec3-87b9-004d570b005a.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/tensopolis/qwen2.5-3b-or1-tensopolis/b79e1f6d-698d-4bde-b35f-3f31e09c9d6a.json b/data/hfopenllm_v2/alibaba/tensopolis/qwen2.5-3b-or1-tensopolis/b79e1f6d-698d-4bde-b35f-3f31e09c9d6a.json
deleted file mode 100644
index 58696be07..000000000
--- a/data/hfopenllm_v2/alibaba/tensopolis/qwen2.5-3b-or1-tensopolis/b79e1f6d-698d-4bde-b35f-3f31e09c9d6a.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/tensopolis/qwen2.5-7b-tensopolis-v1/20854e9f-ba11-492c-8d81-08e13ca1ec35.json b/data/hfopenllm_v2/alibaba/tensopolis/qwen2.5-7b-tensopolis-v1/20854e9f-ba11-492c-8d81-08e13ca1ec35.json
deleted file mode 100644
index 2fcaf7ff8..000000000
--- a/data/hfopenllm_v2/alibaba/tensopolis/qwen2.5-7b-tensopolis-v1/20854e9f-ba11-492c-8d81-08e13ca1ec35.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/tensopolis/qwen2.5-7b-tensopolis-v2/e7862d19-b3d4-47f6-b174-b53015229a42.json b/data/hfopenllm_v2/alibaba/tensopolis/qwen2.5-7b-tensopolis-v2/e7862d19-b3d4-47f6-b174-b53015229a42.json
deleted file mode 100644
index 473cd4a92..000000000
--- a/data/hfopenllm_v2/alibaba/tensopolis/qwen2.5-7b-tensopolis-v2/e7862d19-b3d4-47f6-b174-b53015229a42.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/theprint/ReWiz-Qwen-2.5-14B/9a4e6a55-e39e-4da6-b4bb-670cbd75d5c6.json b/data/hfopenllm_v2/alibaba/theprint/ReWiz-Qwen-2.5-14B/9a4e6a55-e39e-4da6-b4bb-670cbd75d5c6.json
deleted file mode 100644
index 5de02a18a..000000000
--- a/data/hfopenllm_v2/alibaba/theprint/ReWiz-Qwen-2.5-14B/9a4e6a55-e39e-4da6-b4bb-670cbd75d5c6.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/thomas-yanxin/XinYuan-Qwen2-1_5B/626a924c-618b-4047-bed3-9ff67b6e47ae.json b/data/hfopenllm_v2/alibaba/thomas-yanxin/XinYuan-Qwen2-1_5B/626a924c-618b-4047-bed3-9ff67b6e47ae.json
deleted file mode 100644
index bffd8f769..000000000
--- a/data/hfopenllm_v2/alibaba/thomas-yanxin/XinYuan-Qwen2-1_5B/626a924c-618b-4047-bed3-9ff67b6e47ae.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/alibaba/thomas-yanxin/XinYuan-Qwen2-7B-0917/0fac57c3-7bea-48fc-bb38-b679ab835d91.json b/data/hfopenllm_v2/alibaba/thomas-yanxin/XinYuan-Qwen2-7B-0917/0fac57c3-7bea-48fc-bb38-b679ab835d91.json
deleted file mode 100644
index 4503f46de..000000000
--- a/data/hfopenllm_v2/alibaba/thomas-yanxin/XinYuan-Qwen2-7B-0917/0fac57c3-7bea-48fc-bb38-b679ab835d91.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/thomas-yanxin/XinYuan-Qwen2-7B/5e0690cd-21e6-4778-8af9-7d9f623f5f52.json b/data/hfopenllm_v2/alibaba/thomas-yanxin/XinYuan-Qwen2-7B/5e0690cd-21e6-4778-8af9-7d9f623f5f52.json
deleted file mode 100644
index d65b92346..000000000
--- a/data/hfopenllm_v2/alibaba/thomas-yanxin/XinYuan-Qwen2-7B/5e0690cd-21e6-4778-8af9-7d9f623f5f52.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/thomas-yanxin/XinYuan-Qwen2.5-7B-0917/6dc1a4e7-6ce6-4337-a242-420fe4139538.json b/data/hfopenllm_v2/alibaba/thomas-yanxin/XinYuan-Qwen2.5-7B-0917/6dc1a4e7-6ce6-4337-a242-420fe4139538.json
deleted file mode 100644
index 50446fd0f..000000000
--- a/data/hfopenllm_v2/alibaba/thomas-yanxin/XinYuan-Qwen2.5-7B-0917/6dc1a4e7-6ce6-4337-a242-420fe4139538.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/v000000/Qwen2.5-14B-Gutenberg-1e-Delta/676745af-1929-4875-9a78-d57354883d75.json b/data/hfopenllm_v2/alibaba/v000000/Qwen2.5-14B-Gutenberg-1e-Delta/676745af-1929-4875-9a78-d57354883d75.json
deleted file mode 100644
index 93a67e13d..000000000
--- a/data/hfopenllm_v2/alibaba/v000000/Qwen2.5-14B-Gutenberg-1e-Delta/676745af-1929-4875-9a78-d57354883d75.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/v000000/Qwen2.5-Lumen-14B/7b134cb3-7794-4984-9240-b889e2a3b6b4.json b/data/hfopenllm_v2/alibaba/v000000/Qwen2.5-Lumen-14B/7b134cb3-7794-4984-9240-b889e2a3b6b4.json
deleted file mode 100644
index 270b3aedd..000000000
--- a/data/hfopenllm_v2/alibaba/v000000/Qwen2.5-Lumen-14B/7b134cb3-7794-4984-9240-b889e2a3b6b4.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/vonjack/Qwen2.5-Coder-0.5B-Merged/76b52fe1-c232-47d9-8052-077a945364cd.json b/data/hfopenllm_v2/alibaba/vonjack/Qwen2.5-Coder-0.5B-Merged/76b52fe1-c232-47d9-8052-077a945364cd.json
deleted file mode 100644
index 835bc912a..000000000
--- a/data/hfopenllm_v2/alibaba/vonjack/Qwen2.5-Coder-0.5B-Merged/76b52fe1-c232-47d9-8052-077a945364cd.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/wave-on-discord/qwent-7b/1dc524b8-18d6-4bc0-9146-713ef8abd983.json b/data/hfopenllm_v2/alibaba/wave-on-discord/qwent-7b/1dc524b8-18d6-4bc0-9146-713ef8abd983.json
deleted file mode 100644
index 0e3bb6800..000000000
--- a/data/hfopenllm_v2/alibaba/wave-on-discord/qwent-7b/1dc524b8-18d6-4bc0-9146-713ef8abd983.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/win10/EVA-Norns-Qwen2.5-v0.1/5b8044df-ce6a-4a5e-9aed-d657188fa114.json b/data/hfopenllm_v2/alibaba/win10/EVA-Norns-Qwen2.5-v0.1/5b8044df-ce6a-4a5e-9aed-d657188fa114.json
deleted file mode 100644
index 3e39285e5..000000000
--- a/data/hfopenllm_v2/alibaba/win10/EVA-Norns-Qwen2.5-v0.1/5b8044df-ce6a-4a5e-9aed-d657188fa114.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/win10/Norns-Qwen2.5-12B/4ff2e991-ee62-467e-9fec-cdf334ca7fca.json b/data/hfopenllm_v2/alibaba/win10/Norns-Qwen2.5-12B/4ff2e991-ee62-467e-9fec-cdf334ca7fca.json
deleted file mode 100644
index 07a6b838a..000000000
--- a/data/hfopenllm_v2/alibaba/win10/Norns-Qwen2.5-12B/4ff2e991-ee62-467e-9fec-cdf334ca7fca.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/win10/Norns-Qwen2.5-7B/2451252e-2cf6-4394-9009-544630696c75.json b/data/hfopenllm_v2/alibaba/win10/Norns-Qwen2.5-7B/2451252e-2cf6-4394-9009-544630696c75.json
deleted file mode 100644
index 276548f8e..000000000
--- a/data/hfopenllm_v2/alibaba/win10/Norns-Qwen2.5-7B/2451252e-2cf6-4394-9009-544630696c75.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/alibaba/x0000001/Deepseek-Lumen-R1-Qwen2.5-14B/9d6eb7bc-965e-4de8-bccf-0590ad55ce6d.json b/data/hfopenllm_v2/alibaba/x0000001/Deepseek-Lumen-R1-Qwen2.5-14B/9d6eb7bc-965e-4de8-bccf-0590ad55ce6d.json
deleted file mode 100644
index fdc5e8e36..000000000
--- a/data/hfopenllm_v2/alibaba/x0000001/Deepseek-Lumen-R1-Qwen2.5-14B/9d6eb7bc-965e-4de8-bccf-0590ad55ce6d.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/allenai/Llama-3.1-Tulu-3-70B-DPO/b790e9c5-2412-4aa0-a975-37b8662a82cf.json b/data/hfopenllm_v2/allenai/Llama-3.1-Tulu-3-70B-DPO/b790e9c5-2412-4aa0-a975-37b8662a82cf.json
deleted file mode 100644
index bc7489985..000000000
--- a/data/hfopenllm_v2/allenai/Llama-3.1-Tulu-3-70B-DPO/b790e9c5-2412-4aa0-a975-37b8662a82cf.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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new file mode 100644
index 000000000..a5182fb56
--- /dev/null
+++ b/data/hfopenllm_v2/allenai/Llama-3.1-Tulu-3-70B-DPO/ec773b66-24fd-4b6f-ac9c-ebcd355e4be7.json
@@ -0,0 +1,132 @@
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+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
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+    }
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/allenai/Llama-3.1-Tulu-3-70B-SFT/6921281e-5756-4f0d-a37c-3b05ff6b2703.json b/data/hfopenllm_v2/allenai/Llama-3.1-Tulu-3-70B-SFT/6921281e-5756-4f0d-a37c-3b05ff6b2703.json
deleted file mode 100644
index da71cb74d..000000000
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diff --git a/data/hfopenllm_v2/allenai/Llama-3.1-Tulu-3-70B-SFT/a70b8356-94ce-4f0d-b44a-2215076eed5e.json b/data/hfopenllm_v2/allenai/Llama-3.1-Tulu-3-70B-SFT/a70b8356-94ce-4f0d-b44a-2215076eed5e.json
new file mode 100644
index 000000000..1684989ec
--- /dev/null
+++ b/data/hfopenllm_v2/allenai/Llama-3.1-Tulu-3-70B-SFT/a70b8356-94ce-4f0d-b44a-2215076eed5e.json
@@ -0,0 +1,132 @@
+{
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+    "source_type": "documentation",
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+        "hf_repo": "SaylorTwift/bbh"
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/allenai/Llama-3.1-Tulu-3-70B/b182807d-587e-4702-bf30-dab11983b8db.json b/data/hfopenllm_v2/allenai/Llama-3.1-Tulu-3-70B/b182807d-587e-4702-bf30-dab11983b8db.json
new file mode 100644
index 000000000..80ba532bf
--- /dev/null
+++ b/data/hfopenllm_v2/allenai/Llama-3.1-Tulu-3-70B/b182807d-587e-4702-bf30-dab11983b8db.json
@@ -0,0 +1,132 @@
+{
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
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+        "score_type": "continuous",
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+        "max_score": 1.0
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+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
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+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
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+    {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
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+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
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+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/allenai/Llama-3.1-Tulu-3-70B/c1f0944a-c44c-42e9-90ba-a847509cbd66.json b/data/hfopenllm_v2/allenai/Llama-3.1-Tulu-3-70B/c1f0944a-c44c-42e9-90ba-a847509cbd66.json
new file mode 100644
index 000000000..2e028f4fd
--- /dev/null
+++ b/data/hfopenllm_v2/allenai/Llama-3.1-Tulu-3-70B/c1f0944a-c44c-42e9-90ba-a847509cbd66.json
@@ -0,0 +1,132 @@
+{
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+  "source_metadata": {
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+    "source_type": "documentation",
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+    "id": "allenai/Llama-3.1-Tulu-3-70B",
+    "developer": "allenai",
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+    "additional_details": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6157
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3829
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3733
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4988
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4656
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/allenai/Llama-3.1-Tulu-3-8B-DPO/64bb8530-7071-402e-ba9b-1d15ecbe275c.json b/data/hfopenllm_v2/allenai/Llama-3.1-Tulu-3-8B-DPO/64bb8530-7071-402e-ba9b-1d15ecbe275c.json
new file mode 100644
index 000000000..012b3e9c5
--- /dev/null
+++ b/data/hfopenllm_v2/allenai/Llama-3.1-Tulu-3-8B-DPO/64bb8530-7071-402e-ba9b-1d15ecbe275c.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/allenai_Llama-3.1-Tulu-3-8B-DPO/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-3.1-Tulu-3-8B-DPO",
+    "id": "allenai/Llama-3.1-Tulu-3-8B-DPO",
+    "developer": "allenai",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.0
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.8029
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4079
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2364
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2936
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4161
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2898
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/allenai/Llama-3.1-Tulu-3-8B-DPO/81bd1edf-be5b-4ae6-a2cc-723aaa040eb9.json b/data/hfopenllm_v2/allenai/Llama-3.1-Tulu-3-8B-DPO/81bd1edf-be5b-4ae6-a2cc-723aaa040eb9.json
deleted file mode 100644
index 14f0639ce..000000000
--- a/data/hfopenllm_v2/allenai/Llama-3.1-Tulu-3-8B-DPO/81bd1edf-be5b-4ae6-a2cc-723aaa040eb9.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/allenai_Llama-3.1-Tulu-3-8B-DPO/1762652579.9829278",
-  "retrieved_timestamp": "1762652579.982929",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "allenai/Llama-3.1-Tulu-3-8B-DPO",
-    "developer": "allenai",
-    "inference_platform": "unknown",
-    "id": "allenai/Llama-3.1-Tulu-3-8B-DPO",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.0
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.8029384255996312
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4079428557044153
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.236404833836858
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2936241610738255
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41613541666666665
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2898105053191489
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/allenai/Llama-3.1-Tulu-3-8B-RM/4f1fc265-f8b7-47e6-a9e6-cfa61b89ad4a.json b/data/hfopenllm_v2/allenai/Llama-3.1-Tulu-3-8B-RM/4f1fc265-f8b7-47e6-a9e6-cfa61b89ad4a.json
new file mode 100644
index 000000000..9397e2c60
--- /dev/null
+++ b/data/hfopenllm_v2/allenai/Llama-3.1-Tulu-3-8B-RM/4f1fc265-f8b7-47e6-a9e6-cfa61b89ad4a.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/allenai_Llama-3.1-Tulu-3-8B-RM/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-3.1-Tulu-3-8B-RM",
+    "id": "allenai/Llama-3.1-Tulu-3-8B-RM",
+    "developer": "allenai",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForSequenceClassification",
+      "params_billions": 8.0
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.167
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.295
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2567
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3764
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1082
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/allenai/Llama-3.1-Tulu-3-8B-SFT/1420df5c-690e-4b01-b99c-c21c793689ae.json b/data/hfopenllm_v2/allenai/Llama-3.1-Tulu-3-8B-SFT/1420df5c-690e-4b01-b99c-c21c793689ae.json
new file mode 100644
index 000000000..f10b3e75a
--- /dev/null
+++ b/data/hfopenllm_v2/allenai/Llama-3.1-Tulu-3-8B-SFT/1420df5c-690e-4b01-b99c-c21c793689ae.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/allenai_Llama-3.1-Tulu-3-8B-SFT/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-3.1-Tulu-3-8B-SFT",
+    "id": "allenai/Llama-3.1-Tulu-3-8B-SFT",
+    "developer": "allenai",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7403
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3872
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1178
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2777
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4268
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2812
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/allenai/Llama-3.1-Tulu-3-8B-SFT/35674acb-a68c-4ac1-9aac-ac9cb44801e6.json b/data/hfopenllm_v2/allenai/Llama-3.1-Tulu-3-8B-SFT/35674acb-a68c-4ac1-9aac-ac9cb44801e6.json
deleted file mode 100644
index c6286a231..000000000
--- a/data/hfopenllm_v2/allenai/Llama-3.1-Tulu-3-8B-SFT/35674acb-a68c-4ac1-9aac-ac9cb44801e6.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/allenai_Llama-3.1-Tulu-3-8B-SFT/1762652579.983397",
-  "retrieved_timestamp": "1762652579.983398",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "allenai/Llama-3.1-Tulu-3-8B-SFT",
-    "developer": "allenai",
-    "inference_platform": "unknown",
-    "id": "allenai/Llama-3.1-Tulu-3-8B-SFT",
-    "additional_details": {
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diff --git a/data/hfopenllm_v2/allenai/Llama-3.1-Tulu-3-8B/aa9d0b0e-cb3f-452e-bc85-f7cf172d2b8b.json b/data/hfopenllm_v2/allenai/Llama-3.1-Tulu-3-8B/aa9d0b0e-cb3f-452e-bc85-f7cf172d2b8b.json
new file mode 100644
index 000000000..32b0d8b0b
--- /dev/null
+++ b/data/hfopenllm_v2/allenai/Llama-3.1-Tulu-3-8B/aa9d0b0e-cb3f-452e-bc85-f7cf172d2b8b.json
@@ -0,0 +1,132 @@
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/allenai/Llama-3.1-Tulu-3-8B/dfabd777-8620-40e3-b19c-a9227f57b638.json b/data/hfopenllm_v2/allenai/Llama-3.1-Tulu-3-8B/dfabd777-8620-40e3-b19c-a9227f57b638.json
new file mode 100644
index 000000000..fe1b7eb80
--- /dev/null
+++ b/data/hfopenllm_v2/allenai/Llama-3.1-Tulu-3-8B/dfabd777-8620-40e3-b19c-a9227f57b638.json
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+        "hf_repo": "TIGER-Lab/MMLU-Pro"
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/allenai/OLMo-1.7-7B-hf/08fe3877-ab04-426a-9e27-72ec4ff8ffc3.json b/data/hfopenllm_v2/allenai/OLMo-1.7-7B-hf/08fe3877-ab04-426a-9e27-72ec4ff8ffc3.json
new file mode 100644
index 000000000..6810a21ef
--- /dev/null
+++ b/data/hfopenllm_v2/allenai/OLMo-1.7-7B-hf/08fe3877-ab04-426a-9e27-72ec4ff8ffc3.json
@@ -0,0 +1,132 @@
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+    "developer": "allenai",
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/allenai/OLMo-1.7-7B-hf/5d7caae7-0242-4a5d-b3be-c677b958d130.json b/data/hfopenllm_v2/allenai/OLMo-1.7-7B-hf/5d7caae7-0242-4a5d-b3be-c677b958d130.json
deleted file mode 100644
index a1e7abb19..000000000
--- a/data/hfopenllm_v2/allenai/OLMo-1.7-7B-hf/5d7caae7-0242-4a5d-b3be-c677b958d130.json
+++ /dev/null
@@ -1,105 +0,0 @@
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-    "id": "allenai/OLMo-1.7-7B-hf",
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-        "lower_is_better": false,
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diff --git a/data/hfopenllm_v2/allenai/OLMo-1B-hf/4b264bb0-bd7e-4b15-9591-50b5a521f100.json b/data/hfopenllm_v2/allenai/OLMo-1B-hf/4b264bb0-bd7e-4b15-9591-50b5a521f100.json
new file mode 100644
index 000000000..667c017f1
--- /dev/null
+++ b/data/hfopenllm_v2/allenai/OLMo-1B-hf/4b264bb0-bd7e-4b15-9591-50b5a521f100.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/allenai_OLMo-1B-hf/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
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+  "model_info": {
+    "name": "OLMo-1B-hf",
+    "id": "allenai/OLMo-1B-hf",
+    "developer": "allenai",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "OlmoForCausalLM",
+      "params_billions": 1.177
+    }
+  },
+  "evaluation_results": [
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
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+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+    {
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+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3052
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0174
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2617
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4098
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1174
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/allenai/OLMo-1B-hf/d13f5416-1d95-431b-8f01-b969066ec960.json b/data/hfopenllm_v2/allenai/OLMo-1B-hf/d13f5416-1d95-431b-8f01-b969066ec960.json
deleted file mode 100644
index eb14b3edf..000000000
--- a/data/hfopenllm_v2/allenai/OLMo-1B-hf/d13f5416-1d95-431b-8f01-b969066ec960.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/allenai_OLMo-1B-hf/1762652579.983823",
-  "retrieved_timestamp": "1762652579.983823",
-  "source_data": [
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-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "allenai/OLMo-1B-hf",
-    "developer": "allenai",
-    "inference_platform": "unknown",
-    "id": "allenai/OLMo-1B-hf",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "OlmoForCausalLM",
-      "params_billions": 1.177
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30519468988429327
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-    },
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-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.40978125
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11735372340425532
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/allenai/OLMo-2-1124-7B-Instruct/17df660f-6a91-476f-a7e8-7169eef1c24d.json b/data/hfopenllm_v2/allenai/OLMo-2-1124-7B-Instruct/17df660f-6a91-476f-a7e8-7169eef1c24d.json
deleted file mode 100644
index 2c7f01014..000000000
--- a/data/hfopenllm_v2/allenai/OLMo-2-1124-7B-Instruct/17df660f-6a91-476f-a7e8-7169eef1c24d.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/allenai_OLMo-2-1124-7B-Instruct/1762652579.9840362",
-  "retrieved_timestamp": "1762652579.9840372",
-  "source_data": [
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-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "allenai/OLMo-2-1124-7B-Instruct",
-    "developer": "allenai",
-    "inference_platform": "unknown",
-    "id": "allenai/OLMo-2-1124-7B-Instruct",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Olmo2ForCausalLM",
-      "params_billions": 7.299
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-        "lower_is_better": false,
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-    {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-    },
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-        "lower_is_better": false,
-        "score_type": "continuous",
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-        "max_score": 1
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-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.35083333333333333
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2672041223404255
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/allenai/OLMo-2-1124-7B-Instruct/a8cfe336-0c3e-401c-a1e9-d951e64918ec.json b/data/hfopenllm_v2/allenai/OLMo-2-1124-7B-Instruct/a8cfe336-0c3e-401c-a1e9-d951e64918ec.json
new file mode 100644
index 000000000..a7c81df8a
--- /dev/null
+++ b/data/hfopenllm_v2/allenai/OLMo-2-1124-7B-Instruct/a8cfe336-0c3e-401c-a1e9-d951e64918ec.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/allenai_OLMo-2-1124-7B-Instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "OLMo-2-1124-7B-Instruct",
+    "id": "allenai/OLMo-2-1124-7B-Instruct",
+    "developer": "allenai",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Olmo2ForCausalLM",
+      "params_billions": 7.299
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7244
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4022
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1488
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2785
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3508
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2672
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/allenai/OLMo-7B-Instruct-hf/5e66c653-41b1-46de-b677-ffd8426ba5ec.json b/data/hfopenllm_v2/allenai/OLMo-7B-Instruct-hf/5e66c653-41b1-46de-b677-ffd8426ba5ec.json
new file mode 100644
index 000000000..d0864d416
--- /dev/null
+++ b/data/hfopenllm_v2/allenai/OLMo-7B-Instruct-hf/5e66c653-41b1-46de-b677-ffd8426ba5ec.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/allenai_OLMo-7B-Instruct-hf/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "OLMo-7B-Instruct-hf",
+    "id": "allenai/OLMo-7B-Instruct-hf",
+    "developer": "allenai",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "OlmoForCausalLM",
+      "params_billions": 7.0
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3473
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3706
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0136
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.271
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3765
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1785
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/allenai/OLMo-7B-Instruct-hf/7ff78ffd-c934-4a17-b30d-2d8267f3e25a.json b/data/hfopenllm_v2/allenai/OLMo-7B-Instruct-hf/7ff78ffd-c934-4a17-b30d-2d8267f3e25a.json
deleted file mode 100644
index 73a1d2bbd..000000000
--- a/data/hfopenllm_v2/allenai/OLMo-7B-Instruct-hf/7ff78ffd-c934-4a17-b30d-2d8267f3e25a.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/allenai_OLMo-7B-Instruct-hf/1762652579.98445",
-  "retrieved_timestamp": "1762652579.984452",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "allenai/OLMo-7B-Instruct-hf",
-    "developer": "allenai",
-    "inference_platform": "unknown",
-    "id": "allenai/OLMo-7B-Instruct-hf",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "OlmoForCausalLM",
-      "params_billions": 7.0
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3472652561869174
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-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3706469866662716
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
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-        "score_type": "continuous",
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-        "lower_is_better": false,
-        "score_type": "continuous",
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-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
-        "score": 0.17852393617021275
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/allenai/OLMo-7B-hf/6308f97d-aecd-467a-91f0-5a1650ccc22a.json b/data/hfopenllm_v2/allenai/OLMo-7B-hf/6308f97d-aecd-467a-91f0-5a1650ccc22a.json
deleted file mode 100644
index 3337862b9..000000000
--- a/data/hfopenllm_v2/allenai/OLMo-7B-hf/6308f97d-aecd-467a-91f0-5a1650ccc22a.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/allenai_OLMo-7B-hf/1762652579.984753",
-  "retrieved_timestamp": "1762652579.984753",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "allenai/OLMo-7B-hf",
-    "developer": "allenai",
-    "inference_platform": "unknown",
-    "id": "allenai/OLMo-7B-hf",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "OlmoForCausalLM",
-      "params_billions": 6.888
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2719273749207658
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.32791316587362274
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.012084592145015106
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2726510067114094
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3486666666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11727061170212766
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/allenai/OLMo-7B-hf/9f0f0914-1f7a-468e-8a2e-7ae122fd064d.json b/data/hfopenllm_v2/allenai/OLMo-7B-hf/9f0f0914-1f7a-468e-8a2e-7ae122fd064d.json
new file mode 100644
index 000000000..f93b86dbe
--- /dev/null
+++ b/data/hfopenllm_v2/allenai/OLMo-7B-hf/9f0f0914-1f7a-468e-8a2e-7ae122fd064d.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/allenai_OLMo-7B-hf/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "OLMo-7B-hf",
+    "id": "allenai/OLMo-7B-hf",
+    "developer": "allenai",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "OlmoForCausalLM",
+      "params_billions": 6.888
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2719
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3279
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0121
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2727
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3487
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1173
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/allenai/OLMoE-1B-7B-0125-Instruct/af176c4c-b06f-44ac-bcba-1331d9148958.json b/data/hfopenllm_v2/allenai/OLMoE-1B-7B-0125-Instruct/af176c4c-b06f-44ac-bcba-1331d9148958.json
deleted file mode 100644
index 930095640..000000000
--- a/data/hfopenllm_v2/allenai/OLMoE-1B-7B-0125-Instruct/af176c4c-b06f-44ac-bcba-1331d9148958.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/allenai_OLMoE-1B-7B-0125-Instruct/1762652579.984983",
-  "retrieved_timestamp": "1762652579.984983",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "allenai/OLMoE-1B-7B-0125-Instruct",
-    "developer": "allenai",
-    "inference_platform": "unknown",
-    "id": "allenai/OLMoE-1B-7B-0125-Instruct",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "OlmoeForCausalLM",
-      "params_billions": 6.919
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6757436934001781
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.38245348916008676
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.08987915407854985
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2600671140939597
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3635833333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.19148936170212766
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/allenai/OLMoE-1B-7B-0125-Instruct/cc64a143-4f1e-42ee-ade1-fafc4b316336.json b/data/hfopenllm_v2/allenai/OLMoE-1B-7B-0125-Instruct/cc64a143-4f1e-42ee-ade1-fafc4b316336.json
new file mode 100644
index 000000000..d3d1048ff
--- /dev/null
+++ b/data/hfopenllm_v2/allenai/OLMoE-1B-7B-0125-Instruct/cc64a143-4f1e-42ee-ade1-fafc4b316336.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/allenai_OLMoE-1B-7B-0125-Instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "OLMoE-1B-7B-0125-Instruct",
+    "id": "allenai/OLMoE-1B-7B-0125-Instruct",
+    "developer": "allenai",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "OlmoeForCausalLM",
+      "params_billions": 6.919
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6757
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3825
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0899
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2601
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3636
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1915
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/allenai/OLMoE-1B-7B-0924-Instruct/a580b690-0829-43b9-8d52-6dd226208901.json b/data/hfopenllm_v2/allenai/OLMoE-1B-7B-0924-Instruct/a580b690-0829-43b9-8d52-6dd226208901.json
deleted file mode 100644
index d78fe56cc..000000000
--- a/data/hfopenllm_v2/allenai/OLMoE-1B-7B-0924-Instruct/a580b690-0829-43b9-8d52-6dd226208901.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/allenai_OLMoE-1B-7B-0924-Instruct/1762652579.98542",
-  "retrieved_timestamp": "1762652579.98542",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "allenai/OLMoE-1B-7B-0924-Instruct",
-    "developer": "allenai",
-    "inference_platform": "unknown",
-    "id": "allenai/OLMoE-1B-7B-0924-Instruct",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "OlmoeForCausalLM",
-      "params_billions": 6.919
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4667415790103592
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3901610626816106
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.027945619335347432
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2676174496644295
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3848229166666666
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.18758311170212766
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/allenai/OLMoE-1B-7B-0924-Instruct/cf322e64-2682-4a9a-a48f-c4ec47b852f2.json b/data/hfopenllm_v2/allenai/OLMoE-1B-7B-0924-Instruct/cf322e64-2682-4a9a-a48f-c4ec47b852f2.json
new file mode 100644
index 000000000..9edb56ae9
--- /dev/null
+++ b/data/hfopenllm_v2/allenai/OLMoE-1B-7B-0924-Instruct/cf322e64-2682-4a9a-a48f-c4ec47b852f2.json
@@ -0,0 +1,132 @@
+{
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+  "evaluation_id": "hfopenllm_v2/allenai_OLMoE-1B-7B-0924-Instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "OLMoE-1B-7B-0924-Instruct",
+    "id": "allenai/OLMoE-1B-7B-0924-Instruct",
+    "developer": "allenai",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "OlmoeForCausalLM",
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+    }
+  },
+  "evaluation_results": [
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4667
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3902
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+      }
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+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3848
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/allenai/OLMoE-1B-7B-0924/30b32261-b24a-49e3-ba57-172dc1d03ba0.json b/data/hfopenllm_v2/allenai/OLMoE-1B-7B-0924/30b32261-b24a-49e3-ba57-172dc1d03ba0.json
new file mode 100644
index 000000000..9a8c2b352
--- /dev/null
+++ b/data/hfopenllm_v2/allenai/OLMoE-1B-7B-0924/30b32261-b24a-49e3-ba57-172dc1d03ba0.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/allenai_OLMoE-1B-7B-0924/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "OLMoE-1B-7B-0924",
+    "id": "allenai/OLMoE-1B-7B-0924",
+    "developer": "allenai",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "OlmoeForCausalLM",
+      "params_billions": 6.919
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2185
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3393
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0166
+      }
+    },
+    {
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+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2475
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3488
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.174
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/allenai/OLMoE-1B-7B-0924/af1bb542-77cb-47e2-89f1-16cc91e89452.json b/data/hfopenllm_v2/allenai/OLMoE-1B-7B-0924/af1bb542-77cb-47e2-89f1-16cc91e89452.json
deleted file mode 100644
index 1cdd2d164..000000000
--- a/data/hfopenllm_v2/allenai/OLMoE-1B-7B-0924/af1bb542-77cb-47e2-89f1-16cc91e89452.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/allenai_OLMoE-1B-7B-0924/1762652579.985209",
-  "retrieved_timestamp": "1762652579.9852102",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "allenai/OLMoE-1B-7B-0924",
-    "developer": "allenai",
-    "inference_platform": "unknown",
-    "id": "allenai/OLMoE-1B-7B-0924",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "OlmoeForCausalLM",
-      "params_billions": 6.919
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.21847143357402804
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3393437931177341
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.24748322147651006
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.34879166666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1739527925531915
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/allknowingroger/Chocolatine-24B/0681c01d-23f3-4b8b-9516-a5cc41761fc4.json b/data/hfopenllm_v2/allknowingroger/Chocolatine-24B/0681c01d-23f3-4b8b-9516-a5cc41761fc4.json
new file mode 100644
index 000000000..159a92fad
--- /dev/null
+++ b/data/hfopenllm_v2/allknowingroger/Chocolatine-24B/0681c01d-23f3-4b8b-9516-a5cc41761fc4.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/allknowingroger_Chocolatine-24B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Chocolatine-24B",
+    "id": "allknowingroger/Chocolatine-24B",
+    "developer": "allknowingroger",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Phi3ForCausalLM",
+      "params_billions": 24.184
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1958
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6191
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0008
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3255
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4323
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4566
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/allknowingroger/Chocolatine-24B/9d3d89f9-e792-4b33-91d1-41f84ca1cc68.json b/data/hfopenllm_v2/allknowingroger/Chocolatine-24B/9d3d89f9-e792-4b33-91d1-41f84ca1cc68.json
deleted file mode 100644
index b503f7835..000000000
--- a/data/hfopenllm_v2/allknowingroger/Chocolatine-24B/9d3d89f9-e792-4b33-91d1-41f84ca1cc68.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/allknowingroger_Chocolatine-24B/1762652579.9856288",
-  "retrieved_timestamp": "1762652579.98563",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "allknowingroger/Chocolatine-24B",
-    "developer": "allknowingroger",
-    "inference_platform": "unknown",
-    "id": "allknowingroger/Chocolatine-24B",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Phi3ForCausalLM",
-      "params_billions": 24.184
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.19581488229010136
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6191260063262436
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.0007552870090634441
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.32550335570469796
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.43232291666666667
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4566156914893617
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/allknowingroger/Gemma2Slerp1-2.6B/7693ed8a-f76d-482b-92c1-f11810e522ca.json b/data/hfopenllm_v2/allknowingroger/Gemma2Slerp1-2.6B/7693ed8a-f76d-482b-92c1-f11810e522ca.json
new file mode 100644
index 000000000..7d68b1a32
--- /dev/null
+++ b/data/hfopenllm_v2/allknowingroger/Gemma2Slerp1-2.6B/7693ed8a-f76d-482b-92c1-f11810e522ca.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/allknowingroger_Gemma2Slerp1-2.6B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
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diff --git a/data/hfopenllm_v2/allknowingroger/Gemma2Slerp1-27B/f8dc0128-c606-490a-b965-59d5377dd778.json b/data/hfopenllm_v2/allknowingroger/Gemma2Slerp1-27B/f8dc0128-c606-490a-b965-59d5377dd778.json
new file mode 100644
index 000000000..8516f0711
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diff --git a/data/hfopenllm_v2/allknowingroger/Gemma2Slerp2-2.6B/844547f7-658f-41dd-ab4c-dc0569030e59.json b/data/hfopenllm_v2/allknowingroger/Gemma2Slerp2-2.6B/844547f7-658f-41dd-ab4c-dc0569030e59.json
new file mode 100644
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diff --git a/data/hfopenllm_v2/allknowingroger/Gemma2Slerp2-27B/75c291b5-6d60-4bde-8621-f865196a6ecc.json b/data/hfopenllm_v2/allknowingroger/Gemma2Slerp2-27B/75c291b5-6d60-4bde-8621-f865196a6ecc.json
new file mode 100644
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diff --git a/data/hfopenllm_v2/allknowingroger/Gemma2Slerp3-27B/36d54b12-594f-47fe-9637-a9b740416c5c.json b/data/hfopenllm_v2/allknowingroger/Gemma2Slerp3-27B/36d54b12-594f-47fe-9637-a9b740416c5c.json
new file mode 100644
index 000000000..59baa2f21
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diff --git a/data/hfopenllm_v2/allknowingroger/Gemma2Slerp4-27B/57733383-9573-463d-a467-068d2685014c.json b/data/hfopenllm_v2/allknowingroger/Gemma2Slerp4-27B/57733383-9573-463d-a467-068d2685014c.json
new file mode 100644
index 000000000..5c534391b
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diff --git a/data/hfopenllm_v2/allknowingroger/GemmaSlerp-9B/eda1ac9a-98e1-496f-bdeb-1e256b52c14a.json b/data/hfopenllm_v2/allknowingroger/GemmaSlerp-9B/eda1ac9a-98e1-496f-bdeb-1e256b52c14a.json
new file mode 100644
index 000000000..edc562705
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diff --git a/data/hfopenllm_v2/allknowingroger/GemmaSlerp2-9B/00b8bfda-c6b1-4e1f-b68c-bff7335e2dff.json b/data/hfopenllm_v2/allknowingroger/GemmaSlerp2-9B/00b8bfda-c6b1-4e1f-b68c-bff7335e2dff.json
new file mode 100644
index 000000000..126811a1c
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diff --git a/data/hfopenllm_v2/allknowingroger/GemmaSlerp4-10B/0a3b9ad6-b853-471d-a292-413b30273034.json b/data/hfopenllm_v2/allknowingroger/GemmaSlerp4-10B/0a3b9ad6-b853-471d-a292-413b30273034.json
new file mode 100644
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/allknowingroger/GemmaSlerp5-10B/d61c3ace-e353-4c0b-9472-c9a1928809cc.json b/data/hfopenllm_v2/allknowingroger/GemmaSlerp5-10B/d61c3ace-e353-4c0b-9472-c9a1928809cc.json
new file mode 100644
index 000000000..16732735f
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+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3523
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4608
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4328
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/allknowingroger/GemmaStock1-27B/2293a19a-b650-436d-9448-1b641e63d407.json b/data/hfopenllm_v2/allknowingroger/GemmaStock1-27B/2293a19a-b650-436d-9448-1b641e63d407.json
new file mode 100644
index 000000000..c77b2f811
--- /dev/null
+++ b/data/hfopenllm_v2/allknowingroger/GemmaStock1-27B/2293a19a-b650-436d-9448-1b641e63d407.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/allknowingroger_GemmaStock1-27B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "GemmaStock1-27B",
+    "id": "allknowingroger/GemmaStock1-27B",
+    "developer": "allknowingroger",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Gemma2ForCausalLM",
+      "params_billions": 27.227
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7509
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6566
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2636
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3641
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4527
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.473
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/allknowingroger/HomerSlerp1-7B/340dfc7b-9af0-4545-9d7b-6950ea69bd57.json b/data/hfopenllm_v2/allknowingroger/HomerSlerp1-7B/340dfc7b-9af0-4545-9d7b-6950ea69bd57.json
deleted file mode 100644
index ce35c5d7f..000000000
--- a/data/hfopenllm_v2/allknowingroger/HomerSlerp1-7B/340dfc7b-9af0-4545-9d7b-6950ea69bd57.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/allknowingroger_HomerSlerp1-7B/1762652579.988248",
-  "retrieved_timestamp": "1762652579.988249",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "allknowingroger/HomerSlerp1-7B",
-    "developer": "allknowingroger",
-    "inference_platform": "unknown",
-    "id": "allknowingroger/HomerSlerp1-7B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.616
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.551818027489446
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2719033232628399
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3179530201342282
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.43585416666666665
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4503823138297872
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/allknowingroger/HomerSlerp1-7B/c15b977c-c781-4b17-ac9f-25c77602c875.json b/data/hfopenllm_v2/allknowingroger/HomerSlerp1-7B/c15b977c-c781-4b17-ac9f-25c77602c875.json
new file mode 100644
index 000000000..a693fa309
--- /dev/null
+++ b/data/hfopenllm_v2/allknowingroger/HomerSlerp1-7B/c15b977c-c781-4b17-ac9f-25c77602c875.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/allknowingroger_HomerSlerp1-7B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "HomerSlerp1-7B",
+    "id": "allknowingroger/HomerSlerp1-7B",
+    "developer": "allknowingroger",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4621
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5518
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2719
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.318
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4359
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4504
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/allknowingroger/HomerSlerp2-7B/42c191be-c0ae-4170-8b6f-565053ae7d9c.json b/data/hfopenllm_v2/allknowingroger/HomerSlerp2-7B/42c191be-c0ae-4170-8b6f-565053ae7d9c.json
new file mode 100644
index 000000000..a4cdc4f0b
--- /dev/null
+++ b/data/hfopenllm_v2/allknowingroger/HomerSlerp2-7B/42c191be-c0ae-4170-8b6f-565053ae7d9c.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/allknowingroger_HomerSlerp2-7B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "HomerSlerp2-7B",
+    "id": "allknowingroger/HomerSlerp2-7B",
+    "developer": "allknowingroger",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4487
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5649
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2968
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3196
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4356
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4515
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/allknowingroger/HomerSlerp2-7B/ea9cc238-75d0-45e7-b10e-e214516ca36e.json b/data/hfopenllm_v2/allknowingroger/HomerSlerp2-7B/ea9cc238-75d0-45e7-b10e-e214516ca36e.json
deleted file mode 100644
index d5e017f71..000000000
--- a/data/hfopenllm_v2/allknowingroger/HomerSlerp2-7B/ea9cc238-75d0-45e7-b10e-e214516ca36e.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/allknowingroger_HomerSlerp2-7B/1762652579.988459",
-  "retrieved_timestamp": "1762652579.98846",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "allknowingroger/HomerSlerp2-7B",
-    "developer": "allknowingroger",
-    "inference_platform": "unknown",
-    "id": "allknowingroger/HomerSlerp2-7B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.616
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.44868172005833407
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5648943315947
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.29682779456193353
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
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-        "score_type": "continuous",
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diff --git a/data/hfopenllm_v2/allknowingroger/HomerSlerp3-7B/a8a69b0c-02c9-437d-975d-69f1ddc6959a.json b/data/hfopenllm_v2/allknowingroger/HomerSlerp3-7B/a8a69b0c-02c9-437d-975d-69f1ddc6959a.json
deleted file mode 100644
index cc5162020..000000000
--- a/data/hfopenllm_v2/allknowingroger/HomerSlerp3-7B/a8a69b0c-02c9-437d-975d-69f1ddc6959a.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/allknowingroger_HomerSlerp3-7B/1762652579.988729",
-  "retrieved_timestamp": "1762652579.9887302",
-  "source_data": [
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-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "allknowingroger/HomerSlerp3-7B",
-    "developer": "allknowingroger",
-    "inference_platform": "unknown",
-    "id": "allknowingroger/HomerSlerp3-7B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.616
-    }
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-  "evaluation_results": [
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-        "score_type": "continuous",
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-        "max_score": 1
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-        "score_type": "continuous",
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-        "max_score": 1
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-        "score": 0.31711409395973156
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-    },
-    {
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-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-    },
-    {
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-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.45345744680851063
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/allknowingroger/HomerSlerp3-7B/f5cb910d-6e5b-404a-a751-d5cb90668150.json b/data/hfopenllm_v2/allknowingroger/HomerSlerp3-7B/f5cb910d-6e5b-404a-a751-d5cb90668150.json
new file mode 100644
index 000000000..776bb888f
--- /dev/null
+++ b/data/hfopenllm_v2/allknowingroger/HomerSlerp3-7B/f5cb910d-6e5b-404a-a751-d5cb90668150.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/allknowingroger_HomerSlerp3-7B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "HomerSlerp3-7B",
+    "id": "allknowingroger/HomerSlerp3-7B",
+    "developer": "allknowingroger",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4363
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5598
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3171
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4462
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4535
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/allknowingroger/HomerSlerp4-7B/988da677-c00d-4e7c-847e-6ca553e0124b.json b/data/hfopenllm_v2/allknowingroger/HomerSlerp4-7B/988da677-c00d-4e7c-847e-6ca553e0124b.json
deleted file mode 100644
index 3d15272a0..000000000
--- a/data/hfopenllm_v2/allknowingroger/HomerSlerp4-7B/988da677-c00d-4e7c-847e-6ca553e0124b.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "retrieved_timestamp": "1762652579.988937",
-  "source_data": [
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-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "allknowingroger/HomerSlerp4-7B",
-    "developer": "allknowingroger",
-    "inference_platform": "unknown",
-    "id": "allknowingroger/HomerSlerp4-7B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.616
-    }
-  },
-  "evaluation_results": [
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-      "evaluation_name": "IFEval",
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-        "lower_is_better": false,
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-        "min_score": 0,
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-        "lower_is_better": false,
-        "score_type": "continuous",
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-    {
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-        "lower_is_better": false,
-        "score_type": "continuous",
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-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.44084375
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-      },
-      "score_details": {
-        "score": 0.44722406914893614
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/allknowingroger/HomerSlerp4-7B/de806e4c-dbf8-48cc-a0d8-033a61dfc777.json b/data/hfopenllm_v2/allknowingroger/HomerSlerp4-7B/de806e4c-dbf8-48cc-a0d8-033a61dfc777.json
new file mode 100644
index 000000000..304635237
--- /dev/null
+++ b/data/hfopenllm_v2/allknowingroger/HomerSlerp4-7B/de806e4c-dbf8-48cc-a0d8-033a61dfc777.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/allknowingroger_HomerSlerp4-7B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "HomerSlerp4-7B",
+    "id": "allknowingroger/HomerSlerp4-7B",
+    "developer": "allknowingroger",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4374
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5571
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.327
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3196
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4408
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4472
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/allknowingroger/LimyQstar-7B-slerp/59150b73-b05a-451e-ba3f-696d04effe05.json b/data/hfopenllm_v2/allknowingroger/LimyQstar-7B-slerp/59150b73-b05a-451e-ba3f-696d04effe05.json
new file mode 100644
index 000000000..992931ce3
--- /dev/null
+++ b/data/hfopenllm_v2/allknowingroger/LimyQstar-7B-slerp/59150b73-b05a-451e-ba3f-696d04effe05.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/allknowingroger_LimyQstar-7B-slerp/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "LimyQstar-7B-slerp",
+    "id": "allknowingroger/LimyQstar-7B-slerp",
+    "developer": "allknowingroger",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3491
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5024
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0687
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2987
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4146
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3103
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/allknowingroger/LimyQstar-7B-slerp/ac45b8ec-454f-4a91-9418-a3dc70535119.json b/data/hfopenllm_v2/allknowingroger/LimyQstar-7B-slerp/ac45b8ec-454f-4a91-9418-a3dc70535119.json
deleted file mode 100644
index 6d5e3c149..000000000
--- a/data/hfopenllm_v2/allknowingroger/LimyQstar-7B-slerp/ac45b8ec-454f-4a91-9418-a3dc70535119.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/allknowingroger_LimyQstar-7B-slerp/1762652579.98914",
-  "retrieved_timestamp": "1762652579.989141",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "allknowingroger/LimyQstar-7B-slerp",
-    "developer": "allknowingroger",
-    "inference_platform": "unknown",
-    "id": "allknowingroger/LimyQstar-7B-slerp",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.34911368502240725
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5023559424245442
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.06873111782477341
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2986577181208054
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4146458333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3103390957446808
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/allknowingroger/Llama3.1-60B/84926b81-360a-480c-b240-f154ec7fe0ba.json b/data/hfopenllm_v2/allknowingroger/Llama3.1-60B/84926b81-360a-480c-b240-f154ec7fe0ba.json
new file mode 100644
index 000000000..37c1e779c
--- /dev/null
+++ b/data/hfopenllm_v2/allknowingroger/Llama3.1-60B/84926b81-360a-480c-b240-f154ec7fe0ba.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/allknowingroger_Llama3.1-60B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama3.1-60B",
+    "id": "allknowingroger/Llama3.1-60B",
+    "developer": "allknowingroger",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 61.997
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1815
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3242
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2945
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3596
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.331
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/allknowingroger/Marco-01-slerp1-7B/1b8abf32-6b66-4e9b-9b82-e1978d07a483.json b/data/hfopenllm_v2/allknowingroger/Marco-01-slerp1-7B/1b8abf32-6b66-4e9b-9b82-e1978d07a483.json
deleted file mode 100644
index e18c6bb59..000000000
--- a/data/hfopenllm_v2/allknowingroger/Marco-01-slerp1-7B/1b8abf32-6b66-4e9b-9b82-e1978d07a483.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/allknowingroger_Marco-01-slerp1-7B/1762652579.989768",
-  "retrieved_timestamp": "1762652579.98977",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "allknowingroger/Marco-01-slerp1-7B",
-    "developer": "allknowingroger",
-    "inference_platform": "unknown",
-    "id": "allknowingroger/Marco-01-slerp1-7B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.616
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.46811571075856506
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5540943469864194
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3157099697885196
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.31711409395973156
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4451875
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.44830452127659576
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/allknowingroger/Marco-01-slerp1-7B/8e6edb04-302b-4dfc-b38f-94b437c921a8.json b/data/hfopenllm_v2/allknowingroger/Marco-01-slerp1-7B/8e6edb04-302b-4dfc-b38f-94b437c921a8.json
new file mode 100644
index 000000000..d13ebcc1a
--- /dev/null
+++ b/data/hfopenllm_v2/allknowingroger/Marco-01-slerp1-7B/8e6edb04-302b-4dfc-b38f-94b437c921a8.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/allknowingroger_Marco-01-slerp1-7B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Marco-01-slerp1-7B",
+    "id": "allknowingroger/Marco-01-slerp1-7B",
+    "developer": "allknowingroger",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4681
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5541
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3157
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3171
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4452
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4483
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/allknowingroger/Meme-7B-slerp/8eaa7d3f-0217-4ed3-9367-9e0f9c0926fe.json b/data/hfopenllm_v2/allknowingroger/Meme-7B-slerp/8eaa7d3f-0217-4ed3-9367-9e0f9c0926fe.json
deleted file mode 100644
index 27e2ceb97..000000000
--- a/data/hfopenllm_v2/allknowingroger/Meme-7B-slerp/8eaa7d3f-0217-4ed3-9367-9e0f9c0926fe.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/allknowingroger_Meme-7B-slerp/1762652579.9900281",
-  "retrieved_timestamp": "1762652579.990029",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "allknowingroger/Meme-7B-slerp",
-    "developer": "allknowingroger",
-    "inference_platform": "unknown",
-    "id": "allknowingroger/Meme-7B-slerp",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5163754393897082
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4660944195552204
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.04380664652567976
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2860738255033557
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4223020833333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.281000664893617
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/allknowingroger/Meme-7B-slerp/db92c564-1cf9-43db-9e25-1f450c7b1e7f.json b/data/hfopenllm_v2/allknowingroger/Meme-7B-slerp/db92c564-1cf9-43db-9e25-1f450c7b1e7f.json
new file mode 100644
index 000000000..2747ba0f5
--- /dev/null
+++ b/data/hfopenllm_v2/allknowingroger/Meme-7B-slerp/db92c564-1cf9-43db-9e25-1f450c7b1e7f.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/allknowingroger_Meme-7B-slerp/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/allknowingroger/Ministral-8B-slerp/e3796243-cbba-4ec2-ad7c-89547ad24342.json b/data/hfopenllm_v2/allknowingroger/Ministral-8B-slerp/e3796243-cbba-4ec2-ad7c-89547ad24342.json
new file mode 100644
index 000000000..ae54b512b
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+++ b/data/hfopenllm_v2/allknowingroger/Ministral-8B-slerp/e3796243-cbba-4ec2-ad7c-89547ad24342.json
@@ -0,0 +1,132 @@
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/allknowingroger/Ministral-8B-slerp/effba194-3b2a-4847-9708-e3cb62a7c964.json b/data/hfopenllm_v2/allknowingroger/Ministral-8B-slerp/effba194-3b2a-4847-9708-e3cb62a7c964.json
deleted file mode 100644
index 7becb70f9..000000000
--- a/data/hfopenllm_v2/allknowingroger/Ministral-8B-slerp/effba194-3b2a-4847-9708-e3cb62a7c964.json
+++ /dev/null
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diff --git a/data/hfopenllm_v2/allknowingroger/MistralPhi3-11B/1479be90-df8f-4e1d-b9db-03e84000187a.json b/data/hfopenllm_v2/allknowingroger/MistralPhi3-11B/1479be90-df8f-4e1d-b9db-03e84000187a.json
new file mode 100644
index 000000000..97d6fd6ec
--- /dev/null
+++ b/data/hfopenllm_v2/allknowingroger/MistralPhi3-11B/1479be90-df8f-4e1d-b9db-03e84000187a.json
@@ -0,0 +1,132 @@
+{
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+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
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+  "model_info": {
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+    "id": "allknowingroger/MistralPhi3-11B",
+    "developer": "allknowingroger",
+    "inference_platform": "unknown",
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+        "hf_repo": "SaylorTwift/bbh"
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+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
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+    },
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+        "hf_repo": "TAUR-Lab/MuSR"
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
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+      },
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+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/allknowingroger/Mistralmash1-7B-s/d2e6c48c-1c18-45a6-ba1a-b335325c980c.json b/data/hfopenllm_v2/allknowingroger/Mistralmash1-7B-s/d2e6c48c-1c18-45a6-ba1a-b335325c980c.json
new file mode 100644
index 000000000..c3b192913
--- /dev/null
+++ b/data/hfopenllm_v2/allknowingroger/Mistralmash1-7B-s/d2e6c48c-1c18-45a6-ba1a-b335325c980c.json
@@ -0,0 +1,132 @@
+{
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+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
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+    "developer": "allknowingroger",
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+        "lower_is_better": false,
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+        "min_score": 0.0,
+        "max_score": 1.0
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+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
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+        "hf_repo": "TAUR-Lab/MuSR"
+      },
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+        "lower_is_better": false,
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/allknowingroger/Mistralmash2-7B-s/f843e45a-f66b-4091-a964-75583c2d7fc5.json b/data/hfopenllm_v2/allknowingroger/Mistralmash2-7B-s/f843e45a-f66b-4091-a964-75583c2d7fc5.json
new file mode 100644
index 000000000..5d5a5cc33
--- /dev/null
+++ b/data/hfopenllm_v2/allknowingroger/Mistralmash2-7B-s/f843e45a-f66b-4091-a964-75583c2d7fc5.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/allknowingroger_Mistralmash2-7B-s/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Mistralmash2-7B-s",
+    "id": "allknowingroger/Mistralmash2-7B-s",
+    "developer": "allknowingroger",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4102
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5305
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0793
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2978
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4372
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3345
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/allknowingroger/MixTAO-19B-pass/275fb96e-4779-479b-937b-f5db6aa530ea.json b/data/hfopenllm_v2/allknowingroger/MixTAO-19B-pass/275fb96e-4779-479b-937b-f5db6aa530ea.json
deleted file mode 100644
index f94f6ce65..000000000
--- a/data/hfopenllm_v2/allknowingroger/MixTAO-19B-pass/275fb96e-4779-479b-937b-f5db6aa530ea.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/allknowingroger_MixTAO-19B-pass/1762652579.991234",
-  "retrieved_timestamp": "1762652579.991235",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "allknowingroger/MixTAO-19B-pass",
-    "developer": "allknowingroger",
-    "inference_platform": "unknown",
-    "id": "allknowingroger/MixTAO-19B-pass",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MixtralForCausalLM",
-      "params_billions": 19.188
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3814368098866563
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5128248798224987
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.06117824773413897
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.28439597315436244
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.47827083333333337
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.31050531914893614
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/allknowingroger/MixTAO-19B-pass/cbc3cd41-e187-4c4f-b207-37bceab423a4.json b/data/hfopenllm_v2/allknowingroger/MixTAO-19B-pass/cbc3cd41-e187-4c4f-b207-37bceab423a4.json
new file mode 100644
index 000000000..860bc85e9
--- /dev/null
+++ b/data/hfopenllm_v2/allknowingroger/MixTAO-19B-pass/cbc3cd41-e187-4c4f-b207-37bceab423a4.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/allknowingroger_MixTAO-19B-pass/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "MixTAO-19B-pass",
+    "id": "allknowingroger/MixTAO-19B-pass",
+    "developer": "allknowingroger",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MixtralForCausalLM",
+      "params_billions": 19.188
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3814
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5128
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0612
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2844
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4783
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3105
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/allknowingroger/MixTaoTruthful-13B-slerp/003c05a1-abb7-41d3-a264-efc6923b64ef.json b/data/hfopenllm_v2/allknowingroger/MixTaoTruthful-13B-slerp/003c05a1-abb7-41d3-a264-efc6923b64ef.json
deleted file mode 100644
index 699bfc1a7..000000000
--- a/data/hfopenllm_v2/allknowingroger/MixTaoTruthful-13B-slerp/003c05a1-abb7-41d3-a264-efc6923b64ef.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/allknowingroger_MixTaoTruthful-13B-slerp/1762652579.991453",
-  "retrieved_timestamp": "1762652579.991454",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "allknowingroger/MixTaoTruthful-13B-slerp",
-    "developer": "allknowingroger",
-    "inference_platform": "unknown",
-    "id": "allknowingroger/MixTaoTruthful-13B-slerp",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MixtralForCausalLM",
-      "params_billions": 12.879
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41388515804731446
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5207335343585151
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.06646525679758308
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.28439597315436244
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42924999999999996
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3100066489361702
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/allknowingroger/MixTaoTruthful-13B-slerp/0f124566-5e94-4233-9a3f-5ff9cfdf160c.json b/data/hfopenllm_v2/allknowingroger/MixTaoTruthful-13B-slerp/0f124566-5e94-4233-9a3f-5ff9cfdf160c.json
new file mode 100644
index 000000000..68ee45cec
--- /dev/null
+++ b/data/hfopenllm_v2/allknowingroger/MixTaoTruthful-13B-slerp/0f124566-5e94-4233-9a3f-5ff9cfdf160c.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/allknowingroger_MixTaoTruthful-13B-slerp/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "MixTaoTruthful-13B-slerp",
+    "id": "allknowingroger/MixTaoTruthful-13B-slerp",
+    "developer": "allknowingroger",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MixtralForCausalLM",
+      "params_billions": 12.879
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4139
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5207
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0665
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2844
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4292
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.31
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/allknowingroger/MultiCalm-7B-slerp/36176ae9-e852-4604-9961-b7f02e4c3e55.json b/data/hfopenllm_v2/allknowingroger/MultiCalm-7B-slerp/36176ae9-e852-4604-9961-b7f02e4c3e55.json
deleted file mode 100644
index 2a2d62ce4..000000000
--- a/data/hfopenllm_v2/allknowingroger/MultiCalm-7B-slerp/36176ae9-e852-4604-9961-b7f02e4c3e55.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/allknowingroger_MultiCalm-7B-slerp/1762652579.991671",
-  "retrieved_timestamp": "1762652579.991672",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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diff --git a/data/hfopenllm_v2/allknowingroger/MultiCalm-7B-slerp/98fabba8-7d70-4a1f-b03c-37e1a9ac94e8.json b/data/hfopenllm_v2/allknowingroger/MultiCalm-7B-slerp/98fabba8-7d70-4a1f-b03c-37e1a9ac94e8.json
new file mode 100644
index 000000000..717e85ceb
--- /dev/null
+++ b/data/hfopenllm_v2/allknowingroger/MultiCalm-7B-slerp/98fabba8-7d70-4a1f-b03c-37e1a9ac94e8.json
@@ -0,0 +1,132 @@
+{
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+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
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+  "model_info": {
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+    "id": "allknowingroger/MultiCalm-7B-slerp",
+    "developer": "allknowingroger",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
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+        "score_type": "continuous",
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+      },
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+        "source_type": "hf_dataset",
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+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "max_score": 1.0
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
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+        "hf_repo": "TAUR-Lab/MuSR"
+      },
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+    {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
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+      }
+    }
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/allknowingroger/MultiMash-12B-slerp/91522dad-529b-477c-8372-793f631e14b7.json b/data/hfopenllm_v2/allknowingroger/MultiMash-12B-slerp/91522dad-529b-477c-8372-793f631e14b7.json
new file mode 100644
index 000000000..7be2befa5
--- /dev/null
+++ b/data/hfopenllm_v2/allknowingroger/MultiMash-12B-slerp/91522dad-529b-477c-8372-793f631e14b7.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/allknowingroger_MultiMash-12B-slerp/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "MultiMash-12B-slerp",
+    "id": "allknowingroger/MultiMash-12B-slerp",
+    "developer": "allknowingroger",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MixtralForCausalLM",
+      "params_billions": 12.879
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
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+      },
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+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
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+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
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+        "max_score": 1.0
+      },
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+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
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+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/allknowingroger/MultiMash-12B-slerp/ed27cd90-e73f-4432-aed9-dd36f29cba1a.json b/data/hfopenllm_v2/allknowingroger/MultiMash-12B-slerp/ed27cd90-e73f-4432-aed9-dd36f29cba1a.json
deleted file mode 100644
index fc50a0bd0..000000000
--- a/data/hfopenllm_v2/allknowingroger/MultiMash-12B-slerp/ed27cd90-e73f-4432-aed9-dd36f29cba1a.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/allknowingroger/MultiMash10-13B-slerp/7e4b1f44-73f9-4a6d-9d66-91c60e69e3d2.json b/data/hfopenllm_v2/allknowingroger/MultiMash10-13B-slerp/7e4b1f44-73f9-4a6d-9d66-91c60e69e3d2.json
deleted file mode 100644
index a337ae164..000000000
--- a/data/hfopenllm_v2/allknowingroger/MultiMash10-13B-slerp/7e4b1f44-73f9-4a6d-9d66-91c60e69e3d2.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
-    "name": "allknowingroger/MultiMash10-13B-slerp",
-    "developer": "allknowingroger",
-    "inference_platform": "unknown",
-    "id": "allknowingroger/MultiMash10-13B-slerp",
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-      "architecture": "MixtralForCausalLM",
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-    {
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-        "max_score": 1
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-      "evaluation_name": "MMLU-PRO",
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-        "score_type": "continuous",
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-        "max_score": 1
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diff --git a/data/hfopenllm_v2/allknowingroger/MultiMash10-13B-slerp/cec22734-493c-4d11-ba86-6c7ae2005124.json b/data/hfopenllm_v2/allknowingroger/MultiMash10-13B-slerp/cec22734-493c-4d11-ba86-6c7ae2005124.json
new file mode 100644
index 000000000..400c2095d
--- /dev/null
+++ b/data/hfopenllm_v2/allknowingroger/MultiMash10-13B-slerp/cec22734-493c-4d11-ba86-6c7ae2005124.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/allknowingroger_MultiMash10-13B-slerp/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "MultiMash10-13B-slerp",
+    "id": "allknowingroger/MultiMash10-13B-slerp",
+    "developer": "allknowingroger",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MixtralForCausalLM",
+      "params_billions": 12.879
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+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
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+        "score": 0.4163
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+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
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+        "max_score": 1.0
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+      "score_details": {
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+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0718
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2861
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4318
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3117
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/allknowingroger/MultiMash11-13B-slerp/1b3bfb2a-8290-4af0-bdac-24397a5b6f86.json b/data/hfopenllm_v2/allknowingroger/MultiMash11-13B-slerp/1b3bfb2a-8290-4af0-bdac-24397a5b6f86.json
deleted file mode 100644
index 501367384..000000000
--- a/data/hfopenllm_v2/allknowingroger/MultiMash11-13B-slerp/1b3bfb2a-8290-4af0-bdac-24397a5b6f86.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/allknowingroger_MultiMash11-13B-slerp/1762652579.992343",
-  "retrieved_timestamp": "1762652579.9923441",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "allknowingroger/MultiMash11-13B-slerp",
-    "developer": "allknowingroger",
-    "inference_platform": "unknown",
-    "id": "allknowingroger/MultiMash11-13B-slerp",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MixtralForCausalLM",
-      "params_billions": 12.879
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4251009543566625
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5193864686484946
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.0702416918429003
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2827181208053691
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.43728125
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30851063829787234
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/allknowingroger/MultiMash11-13B-slerp/704a6e19-0d86-42a5-b8f5-05a5856e9c29.json b/data/hfopenllm_v2/allknowingroger/MultiMash11-13B-slerp/704a6e19-0d86-42a5-b8f5-05a5856e9c29.json
new file mode 100644
index 000000000..d47ffa3a1
--- /dev/null
+++ b/data/hfopenllm_v2/allknowingroger/MultiMash11-13B-slerp/704a6e19-0d86-42a5-b8f5-05a5856e9c29.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/allknowingroger_MultiMash11-13B-slerp/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "MultiMash11-13B-slerp",
+    "id": "allknowingroger/MultiMash11-13B-slerp",
+    "developer": "allknowingroger",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MixtralForCausalLM",
+      "params_billions": 12.879
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4251
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5194
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0702
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2827
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4373
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3085
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/allknowingroger/MultiMash2-12B-slerp/af52a422-e959-4662-98e8-c94fa83bee3e.json b/data/hfopenllm_v2/allknowingroger/MultiMash2-12B-slerp/af52a422-e959-4662-98e8-c94fa83bee3e.json
deleted file mode 100644
index 3826780df..000000000
--- a/data/hfopenllm_v2/allknowingroger/MultiMash2-12B-slerp/af52a422-e959-4662-98e8-c94fa83bee3e.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/allknowingroger_MultiMash2-12B-slerp/1762652579.992556",
-  "retrieved_timestamp": "1762652579.992556",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "allknowingroger/MultiMash2-12B-slerp",
-    "developer": "allknowingroger",
-    "inference_platform": "unknown",
-    "id": "allknowingroger/MultiMash2-12B-slerp",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MixtralForCausalLM",
-      "params_billions": 12.879
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42607503645881817
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5133973498532299
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.06419939577039276
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.27936241610738255
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4228020833333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3042719414893617
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/allknowingroger/MultiMash2-12B-slerp/bc54349d-59e0-4ae4-94f9-3f5ae98261f4.json b/data/hfopenllm_v2/allknowingroger/MultiMash2-12B-slerp/bc54349d-59e0-4ae4-94f9-3f5ae98261f4.json
new file mode 100644
index 000000000..ee50b15c0
--- /dev/null
+++ b/data/hfopenllm_v2/allknowingroger/MultiMash2-12B-slerp/bc54349d-59e0-4ae4-94f9-3f5ae98261f4.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/allknowingroger_MultiMash2-12B-slerp/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "MultiMash2-12B-slerp",
+    "id": "allknowingroger/MultiMash2-12B-slerp",
+    "developer": "allknowingroger",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MixtralForCausalLM",
+      "params_billions": 12.879
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4261
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5134
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0642
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2794
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4228
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3043
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/allknowingroger/MultiMash5-12B-slerp/d20d533a-758b-477c-b4eb-073adaed640e.json b/data/hfopenllm_v2/allknowingroger/MultiMash5-12B-slerp/d20d533a-758b-477c-b4eb-073adaed640e.json
new file mode 100644
index 000000000..195752d1b
--- /dev/null
+++ b/data/hfopenllm_v2/allknowingroger/MultiMash5-12B-slerp/d20d533a-758b-477c-b4eb-073adaed640e.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/allknowingroger_MultiMash5-12B-slerp/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "MultiMash5-12B-slerp",
+    "id": "allknowingroger/MultiMash5-12B-slerp",
+    "developer": "allknowingroger",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MixtralForCausalLM",
+      "params_billions": 12.879
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4142
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5145
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0634
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2777
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4203
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3028
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/allknowingroger/MultiMash5-12B-slerp/df7621bc-5af2-45c5-b8e4-ebc158dad966.json b/data/hfopenllm_v2/allknowingroger/MultiMash5-12B-slerp/df7621bc-5af2-45c5-b8e4-ebc158dad966.json
deleted file mode 100644
index 3efca05cd..000000000
--- a/data/hfopenllm_v2/allknowingroger/MultiMash5-12B-slerp/df7621bc-5af2-45c5-b8e4-ebc158dad966.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/allknowingroger_MultiMash5-12B-slerp/1762652579.992772",
-  "retrieved_timestamp": "1762652579.992772",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "allknowingroger/MultiMash5-12B-slerp",
-    "developer": "allknowingroger",
-    "inference_platform": "unknown",
-    "id": "allknowingroger/MultiMash5-12B-slerp",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MixtralForCausalLM",
-      "params_billions": 12.879
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41415998439695567
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5144534995858502
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.0634441087613293
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.27768456375838924
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4202916666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30277593085106386
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/allknowingroger/MultiMash6-12B-slerp/195b1c31-c766-479c-a445-39a6150404fc.json b/data/hfopenllm_v2/allknowingroger/MultiMash6-12B-slerp/195b1c31-c766-479c-a445-39a6150404fc.json
deleted file mode 100644
index e638877e1..000000000
--- a/data/hfopenllm_v2/allknowingroger/MultiMash6-12B-slerp/195b1c31-c766-479c-a445-39a6150404fc.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/allknowingroger_MultiMash6-12B-slerp/1762652579.992992",
-  "retrieved_timestamp": "1762652579.992993",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "allknowingroger/MultiMash6-12B-slerp",
-    "developer": "allknowingroger",
-    "inference_platform": "unknown",
-    "id": "allknowingroger/MultiMash6-12B-slerp",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MixtralForCausalLM",
-      "params_billions": 12.879
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.43004672047943904
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5195916915718951
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-    },
-    {
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-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
-        "score": 0.07250755287009064
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.27432885906040266
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4305833333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30909242021276595
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/allknowingroger/MultiMash6-12B-slerp/f7c9ad0d-3fea-4bec-8ac3-46f01a3449fb.json b/data/hfopenllm_v2/allknowingroger/MultiMash6-12B-slerp/f7c9ad0d-3fea-4bec-8ac3-46f01a3449fb.json
new file mode 100644
index 000000000..a7902f000
--- /dev/null
+++ b/data/hfopenllm_v2/allknowingroger/MultiMash6-12B-slerp/f7c9ad0d-3fea-4bec-8ac3-46f01a3449fb.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/allknowingroger_MultiMash6-12B-slerp/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "MultiMash6-12B-slerp",
+    "id": "allknowingroger/MultiMash6-12B-slerp",
+    "developer": "allknowingroger",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MixtralForCausalLM",
+      "params_billions": 12.879
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.43
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5196
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0725
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2743
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4306
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3091
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/allknowingroger/MultiMash7-12B-slerp/141507b5-67df-4c38-9eeb-b9d3cf98b08f.json b/data/hfopenllm_v2/allknowingroger/MultiMash7-12B-slerp/141507b5-67df-4c38-9eeb-b9d3cf98b08f.json
deleted file mode 100644
index 194f9e3f1..000000000
--- a/data/hfopenllm_v2/allknowingroger/MultiMash7-12B-slerp/141507b5-67df-4c38-9eeb-b9d3cf98b08f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/allknowingroger_MultiMash7-12B-slerp/1762652579.993205",
-  "retrieved_timestamp": "1762652579.993206",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "allknowingroger/MultiMash7-12B-slerp",
-    "developer": "allknowingroger",
-    "inference_platform": "unknown",
-    "id": "allknowingroger/MultiMash7-12B-slerp",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MixtralForCausalLM",
-      "params_billions": 12.879
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42127887338927383
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5111135397195524
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.06948640483383686
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2785234899328859
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-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42794791666666665
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-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3029421542553192
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/allknowingroger/MultiMash7-12B-slerp/9db1f823-e068-4a39-a5cc-b9c588099427.json b/data/hfopenllm_v2/allknowingroger/MultiMash7-12B-slerp/9db1f823-e068-4a39-a5cc-b9c588099427.json
new file mode 100644
index 000000000..7142478be
--- /dev/null
+++ b/data/hfopenllm_v2/allknowingroger/MultiMash7-12B-slerp/9db1f823-e068-4a39-a5cc-b9c588099427.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/allknowingroger_MultiMash7-12B-slerp/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "MultiMash7-12B-slerp",
+    "id": "allknowingroger/MultiMash7-12B-slerp",
+    "developer": "allknowingroger",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MixtralForCausalLM",
+      "params_billions": 12.879
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4213
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5111
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0695
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+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2785
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4279
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+        "score": 0.3029
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/allknowingroger/MultiMash8-13B-slerp/23818b45-bf5f-48a2-982f-1e2a0d35aac8.json b/data/hfopenllm_v2/allknowingroger/MultiMash8-13B-slerp/23818b45-bf5f-48a2-982f-1e2a0d35aac8.json
new file mode 100644
index 000000000..55e001fb8
--- /dev/null
+++ b/data/hfopenllm_v2/allknowingroger/MultiMash8-13B-slerp/23818b45-bf5f-48a2-982f-1e2a0d35aac8.json
@@ -0,0 +1,132 @@
+{
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+  "evaluation_id": "hfopenllm_v2/allknowingroger_MultiMash8-13B-slerp/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "MultiMash8-13B-slerp",
+    "id": "allknowingroger/MultiMash8-13B-slerp",
+    "developer": "allknowingroger",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MixtralForCausalLM",
+      "params_billions": 12.879
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
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+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4321
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5178
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2886
+      }
+    },
+    {
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+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4424
+      }
+    },
+    {
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+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3126
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/allknowingroger/MultiMash8-13B-slerp/54a836bc-8048-4c2b-a65a-937acc2fa414.json b/data/hfopenllm_v2/allknowingroger/MultiMash8-13B-slerp/54a836bc-8048-4c2b-a65a-937acc2fa414.json
deleted file mode 100644
index 1d29c9eb8..000000000
--- a/data/hfopenllm_v2/allknowingroger/MultiMash8-13B-slerp/54a836bc-8048-4c2b-a65a-937acc2fa414.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/allknowingroger_MultiMash8-13B-slerp/1762652579.9938078",
-  "retrieved_timestamp": "1762652579.99381",
-  "source_data": [
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-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "allknowingroger/MultiMash8-13B-slerp",
-    "developer": "allknowingroger",
-    "inference_platform": "unknown",
-    "id": "allknowingroger/MultiMash8-13B-slerp",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MixtralForCausalLM",
-      "params_billions": 12.879
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
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-        "max_score": 1
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-      "score_details": {
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-        "lower_is_better": false,
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-      "score_details": {
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-    },
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-      "metric_config": {
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-        "lower_is_better": false,
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-        "lower_is_better": false,
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-        "score_type": "continuous",
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-        "max_score": 1
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-    {
-      "evaluation_name": "MMLU-PRO",
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-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    }
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-}
diff --git a/data/hfopenllm_v2/allknowingroger/MultiMash9-13B-slerp/6a0f5973-6377-4707-a0e3-414ca1f22b32.json b/data/hfopenllm_v2/allknowingroger/MultiMash9-13B-slerp/6a0f5973-6377-4707-a0e3-414ca1f22b32.json
deleted file mode 100644
index 9143f17a6..000000000
--- a/data/hfopenllm_v2/allknowingroger/MultiMash9-13B-slerp/6a0f5973-6377-4707-a0e3-414ca1f22b32.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "source_data": [
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-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "allknowingroger/MultiMash9-13B-slerp",
-    "developer": "allknowingroger",
-    "inference_platform": "unknown",
-    "id": "allknowingroger/MultiMash9-13B-slerp",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MixtralForCausalLM",
-      "params_billions": 12.879
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-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
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-        "lower_is_better": false,
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-        "max_score": 1
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-    {
-      "evaluation_name": "MUSR",
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-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
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-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-}
diff --git a/data/hfopenllm_v2/allknowingroger/MultiMash9-13B-slerp/de6eda66-b8f5-4b23-89e1-44bbac600953.json b/data/hfopenllm_v2/allknowingroger/MultiMash9-13B-slerp/de6eda66-b8f5-4b23-89e1-44bbac600953.json
new file mode 100644
index 000000000..b3fb05f58
--- /dev/null
+++ b/data/hfopenllm_v2/allknowingroger/MultiMash9-13B-slerp/de6eda66-b8f5-4b23-89e1-44bbac600953.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/allknowingroger_MultiMash9-13B-slerp/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "MultiMash9-13B-slerp",
+    "id": "allknowingroger/MultiMash9-13B-slerp",
+    "developer": "allknowingroger",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MixtralForCausalLM",
+      "params_billions": 12.879
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4188
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+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5194
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+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+    },
+    {
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+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2802
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4398
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.31
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/allknowingroger/MultiMerge-7B-slerp/632974c2-57e2-41f9-8c00-671e07e7594b.json b/data/hfopenllm_v2/allknowingroger/MultiMerge-7B-slerp/632974c2-57e2-41f9-8c00-671e07e7594b.json
new file mode 100644
index 000000000..a78094980
--- /dev/null
+++ b/data/hfopenllm_v2/allknowingroger/MultiMerge-7B-slerp/632974c2-57e2-41f9-8c00-671e07e7594b.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/allknowingroger_MultiMerge-7B-slerp/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "MultiMerge-7B-slerp",
+    "id": "allknowingroger/MultiMerge-7B-slerp",
+    "developer": "allknowingroger",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
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+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3948
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.514
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+    },
+    {
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+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2827
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.428
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+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3037
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/allknowingroger/MultiMerge-7B-slerp/f0aae363-f838-48c8-bf9e-b8e9f0e84a24.json b/data/hfopenllm_v2/allknowingroger/MultiMerge-7B-slerp/f0aae363-f838-48c8-bf9e-b8e9f0e84a24.json
deleted file mode 100644
index e7a488b59..000000000
--- a/data/hfopenllm_v2/allknowingroger/MultiMerge-7B-slerp/f0aae363-f838-48c8-bf9e-b8e9f0e84a24.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/allknowingroger_MultiMerge-7B-slerp/1762652579.994297",
-  "retrieved_timestamp": "1762652579.994299",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "allknowingroger/MultiMerge-7B-slerp",
-    "developer": "allknowingroger",
-    "inference_platform": "unknown",
-    "id": "allknowingroger/MultiMerge-7B-slerp",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3947758613811354
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5140224933103638
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.06646525679758308
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2827181208053691
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42797916666666663
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3036901595744681
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/allknowingroger/Multimash3-12B-slerp/80aa0629-7ea1-4f69-b302-c0502abcbbab.json b/data/hfopenllm_v2/allknowingroger/Multimash3-12B-slerp/80aa0629-7ea1-4f69-b302-c0502abcbbab.json
deleted file mode 100644
index 65eef6d4c..000000000
--- a/data/hfopenllm_v2/allknowingroger/Multimash3-12B-slerp/80aa0629-7ea1-4f69-b302-c0502abcbbab.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/allknowingroger_Multimash3-12B-slerp/1762652579.994557",
-  "retrieved_timestamp": "1762652579.994557",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "allknowingroger/Multimash3-12B-slerp",
-    "developer": "allknowingroger",
-    "inference_platform": "unknown",
-    "id": "allknowingroger/Multimash3-12B-slerp",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MixtralForCausalLM",
-      "params_billions": 12.879
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.44371046600796993
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5176624678276028
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.06268882175226587
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2802013422818792
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4343958333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3067652925531915
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/allknowingroger/Multimash3-12B-slerp/e86dcf4f-6282-4aa6-b645-00f93a2e9077.json b/data/hfopenllm_v2/allknowingroger/Multimash3-12B-slerp/e86dcf4f-6282-4aa6-b645-00f93a2e9077.json
new file mode 100644
index 000000000..67777cbfb
--- /dev/null
+++ b/data/hfopenllm_v2/allknowingroger/Multimash3-12B-slerp/e86dcf4f-6282-4aa6-b645-00f93a2e9077.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/allknowingroger_Multimash3-12B-slerp/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Multimash3-12B-slerp",
+    "id": "allknowingroger/Multimash3-12B-slerp",
+    "developer": "allknowingroger",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MixtralForCausalLM",
+      "params_billions": 12.879
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4437
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5177
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0627
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2802
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4344
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3068
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/allknowingroger/Multimerge-19B-pass/818e21b8-da78-4649-a71a-ba71c89d1fe7.json b/data/hfopenllm_v2/allknowingroger/Multimerge-19B-pass/818e21b8-da78-4649-a71a-ba71c89d1fe7.json
deleted file mode 100644
index f429285ea..000000000
--- a/data/hfopenllm_v2/allknowingroger/Multimerge-19B-pass/818e21b8-da78-4649-a71a-ba71c89d1fe7.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/allknowingroger_Multimerge-19B-pass/1762652579.9948218",
-  "retrieved_timestamp": "1762652579.994823",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "allknowingroger/Multimerge-19B-pass",
-    "developer": "allknowingroger",
-    "inference_platform": "unknown",
-    "id": "allknowingroger/Multimerge-19B-pass",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MixtralForCausalLM",
-      "params_billions": 19.188
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.17730510600761534
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2891778102988436
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.0
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.25922818791946306
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3429583333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11685505319148937
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/allknowingroger/Multimerge-19B-pass/b20be5c9-9720-4076-b587-728549dd19af.json b/data/hfopenllm_v2/allknowingroger/Multimerge-19B-pass/b20be5c9-9720-4076-b587-728549dd19af.json
new file mode 100644
index 000000000..1204ac4a5
--- /dev/null
+++ b/data/hfopenllm_v2/allknowingroger/Multimerge-19B-pass/b20be5c9-9720-4076-b587-728549dd19af.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/allknowingroger_Multimerge-19B-pass/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Multimerge-19B-pass",
+    "id": "allknowingroger/Multimerge-19B-pass",
+    "developer": "allknowingroger",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MixtralForCausalLM",
+      "params_billions": 19.188
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1773
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2892
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2592
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.343
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1169
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/allknowingroger/MultiverseEx26-7B-slerp/30b74d3f-7247-4c93-9c94-dc8beba14b70.json b/data/hfopenllm_v2/allknowingroger/MultiverseEx26-7B-slerp/30b74d3f-7247-4c93-9c94-dc8beba14b70.json
deleted file mode 100644
index 4057ffb44..000000000
--- a/data/hfopenllm_v2/allknowingroger/MultiverseEx26-7B-slerp/30b74d3f-7247-4c93-9c94-dc8beba14b70.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/allknowingroger_MultiverseEx26-7B-slerp/1762652579.995038",
-  "retrieved_timestamp": "1762652579.995039",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "allknowingroger/MultiverseEx26-7B-slerp",
-    "developer": "allknowingroger",
-    "inference_platform": "unknown",
-    "id": "allknowingroger/MultiverseEx26-7B-slerp",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
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-        "max_score": 1
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-        "score_type": "continuous",
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-}
diff --git a/data/hfopenllm_v2/allknowingroger/MultiverseEx26-7B-slerp/5e193803-39d1-4f12-8726-ebbe5f71563c.json b/data/hfopenllm_v2/allknowingroger/MultiverseEx26-7B-slerp/5e193803-39d1-4f12-8726-ebbe5f71563c.json
new file mode 100644
index 000000000..b5df1f90d
--- /dev/null
+++ b/data/hfopenllm_v2/allknowingroger/MultiverseEx26-7B-slerp/5e193803-39d1-4f12-8726-ebbe5f71563c.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/allknowingroger_MultiverseEx26-7B-slerp/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "MultiverseEx26-7B-slerp",
+    "id": "allknowingroger/MultiverseEx26-7B-slerp",
+    "developer": "allknowingroger",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3939
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5134
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0755
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2827
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4293
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3035
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/allknowingroger/NeuralWestSeverus-7B-slerp/61131a6c-f412-42bf-814b-7d711a840d44.json b/data/hfopenllm_v2/allknowingroger/NeuralWestSeverus-7B-slerp/61131a6c-f412-42bf-814b-7d711a840d44.json
new file mode 100644
index 000000000..b88992a9a
--- /dev/null
+++ b/data/hfopenllm_v2/allknowingroger/NeuralWestSeverus-7B-slerp/61131a6c-f412-42bf-814b-7d711a840d44.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/allknowingroger_NeuralWestSeverus-7B-slerp/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "NeuralWestSeverus-7B-slerp",
+    "id": "allknowingroger/NeuralWestSeverus-7B-slerp",
+    "developer": "allknowingroger",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4136
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5244
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0733
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.271
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4529
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3137
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/allknowingroger/NeuralWestSeverus-7B-slerp/fc6d4451-0a9c-4d53-8d22-179ff7059d61.json b/data/hfopenllm_v2/allknowingroger/NeuralWestSeverus-7B-slerp/fc6d4451-0a9c-4d53-8d22-179ff7059d61.json
deleted file mode 100644
index c9cbf050b..000000000
--- a/data/hfopenllm_v2/allknowingroger/NeuralWestSeverus-7B-slerp/fc6d4451-0a9c-4d53-8d22-179ff7059d61.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/allknowingroger_NeuralWestSeverus-7B-slerp/1762652579.995253",
-  "retrieved_timestamp": "1762652579.995254",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "allknowingroger/NeuralWestSeverus-7B-slerp",
-    "developer": "allknowingroger",
-    "inference_platform": "unknown",
-    "id": "allknowingroger/NeuralWestSeverus-7B-slerp",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5244283854305991
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.07326283987915408
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-    },
-    {
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-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2709731543624161
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.45287499999999997
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3137466755319149
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/allknowingroger/Neuralcoven-7B-slerp/535e72b1-17e0-40e3-9d66-d31f8ec70413.json b/data/hfopenllm_v2/allknowingroger/Neuralcoven-7B-slerp/535e72b1-17e0-40e3-9d66-d31f8ec70413.json
new file mode 100644
index 000000000..035e133f8
--- /dev/null
+++ b/data/hfopenllm_v2/allknowingroger/Neuralcoven-7B-slerp/535e72b1-17e0-40e3-9d66-d31f8ec70413.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/allknowingroger_Neuralcoven-7B-slerp/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Neuralcoven-7B-slerp",
+    "id": "allknowingroger/Neuralcoven-7B-slerp",
+    "developer": "allknowingroger",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3859
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5303
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0785
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2852
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.429
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3294
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/allknowingroger/Neuralcoven-7B-slerp/ba46f82b-2129-43db-ae21-09e6576dc4e6.json b/data/hfopenllm_v2/allknowingroger/Neuralcoven-7B-slerp/ba46f82b-2129-43db-ae21-09e6576dc4e6.json
deleted file mode 100644
index dd5c955ac..000000000
--- a/data/hfopenllm_v2/allknowingroger/Neuralcoven-7B-slerp/ba46f82b-2129-43db-ae21-09e6576dc4e6.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/allknowingroger_Neuralcoven-7B-slerp/1762652579.995681",
-  "retrieved_timestamp": "1762652579.995682",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "allknowingroger/Neuralcoven-7B-slerp",
-    "developer": "allknowingroger",
-    "inference_platform": "unknown",
-    "id": "allknowingroger/Neuralcoven-7B-slerp",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-      "evaluation_name": "MATH Level 5",
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-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
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-        "lower_is_better": false,
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diff --git a/data/hfopenllm_v2/allknowingroger/Neuralmultiverse-7B-slerp/b98b76ea-b068-46ec-b929-4ca1037eaf99.json b/data/hfopenllm_v2/allknowingroger/Neuralmultiverse-7B-slerp/b98b76ea-b068-46ec-b929-4ca1037eaf99.json
deleted file mode 100644
index 79752d18c..000000000
--- a/data/hfopenllm_v2/allknowingroger/Neuralmultiverse-7B-slerp/b98b76ea-b068-46ec-b929-4ca1037eaf99.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/allknowingroger_Neuralmultiverse-7B-slerp/1762652579.995954",
-  "retrieved_timestamp": "1762652579.995955",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "allknowingroger/Neuralmultiverse-7B-slerp",
-    "developer": "allknowingroger",
-    "inference_platform": "unknown",
-    "id": "allknowingroger/Neuralmultiverse-7B-slerp",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.0649546827794562
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.28439597315436244
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42804166666666665
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30418882978723405
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/allknowingroger/Neuralmultiverse-7B-slerp/ea15479e-24a8-4924-a754-a8567c511e61.json b/data/hfopenllm_v2/allknowingroger/Neuralmultiverse-7B-slerp/ea15479e-24a8-4924-a754-a8567c511e61.json
new file mode 100644
index 000000000..534b2a6eb
--- /dev/null
+++ b/data/hfopenllm_v2/allknowingroger/Neuralmultiverse-7B-slerp/ea15479e-24a8-4924-a754-a8567c511e61.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/allknowingroger_Neuralmultiverse-7B-slerp/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Neuralmultiverse-7B-slerp",
+    "id": "allknowingroger/Neuralmultiverse-7B-slerp",
+    "developer": "allknowingroger",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3769
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5166
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.065
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2844
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.428
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3042
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/allknowingroger/Ph3della5-14B/5799f285-c61f-43a8-a6a6-053808cf4e8f.json b/data/hfopenllm_v2/allknowingroger/Ph3della5-14B/5799f285-c61f-43a8-a6a6-053808cf4e8f.json
new file mode 100644
index 000000000..0a78188b8
--- /dev/null
+++ b/data/hfopenllm_v2/allknowingroger/Ph3della5-14B/5799f285-c61f-43a8-a6a6-053808cf4e8f.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/allknowingroger_Ph3della5-14B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Ph3della5-14B",
+    "id": "allknowingroger/Ph3della5-14B",
+    "developer": "allknowingroger",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Phi3ForCausalLM",
+      "params_billions": 13.96
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4799
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6332
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1767
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3423
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4386
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4787
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/allknowingroger/Ph3della5-14B/d5a47313-b2f5-4833-9539-b8f56e4a5fda.json b/data/hfopenllm_v2/allknowingroger/Ph3della5-14B/d5a47313-b2f5-4833-9539-b8f56e4a5fda.json
deleted file mode 100644
index f667672ce..000000000
--- a/data/hfopenllm_v2/allknowingroger/Ph3della5-14B/d5a47313-b2f5-4833-9539-b8f56e4a5fda.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/allknowingroger_Ph3della5-14B/1762652579.9961941",
-  "retrieved_timestamp": "1762652579.996195",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "allknowingroger/Ph3della5-14B",
-    "developer": "allknowingroger",
-    "inference_platform": "unknown",
-    "id": "allknowingroger/Ph3della5-14B",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Phi3ForCausalLM",
-      "params_billions": 13.96
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.47985567183960776
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6331746353794991
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.17673716012084592
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3422818791946309
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4386145833333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4787234042553192
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/allknowingroger/Ph3merge-14B/36feef44-3d3b-4102-8606-ee6420bddcff.json b/data/hfopenllm_v2/allknowingroger/Ph3merge-14B/36feef44-3d3b-4102-8606-ee6420bddcff.json
new file mode 100644
index 000000000..9d397a68f
--- /dev/null
+++ b/data/hfopenllm_v2/allknowingroger/Ph3merge-14B/36feef44-3d3b-4102-8606-ee6420bddcff.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/allknowingroger_Ph3merge-14B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Ph3merge-14B",
+    "id": "allknowingroger/Ph3merge-14B",
+    "developer": "allknowingroger",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Phi3ForCausalLM",
+      "params_billions": 13.619
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2701
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6381
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0106
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3381
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4334
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4611
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/allknowingroger/Ph3merge-14B/95228f47-8fb1-443c-8ad4-0021504e34e0.json b/data/hfopenllm_v2/allknowingroger/Ph3merge-14B/95228f47-8fb1-443c-8ad4-0021504e34e0.json
deleted file mode 100644
index 45a0815c9..000000000
--- a/data/hfopenllm_v2/allknowingroger/Ph3merge-14B/95228f47-8fb1-443c-8ad4-0021504e34e0.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/allknowingroger_Ph3merge-14B/1762652579.996419",
-  "retrieved_timestamp": "1762652579.9964201",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "allknowingroger/Ph3merge-14B",
-    "developer": "allknowingroger",
-    "inference_platform": "unknown",
-    "id": "allknowingroger/Ph3merge-14B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Phi3ForCausalLM",
-      "params_billions": 13.619
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.27012881376968667
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.638087568868341
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-      },
-      "score_details": {
-        "score": 0.33808724832214765
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4611037234042553
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/allknowingroger/Ph3merge2-14B/b5790fec-6c12-42a3-853c-488658bf949d.json b/data/hfopenllm_v2/allknowingroger/Ph3merge2-14B/b5790fec-6c12-42a3-853c-488658bf949d.json
deleted file mode 100644
index bf8210d18..000000000
--- a/data/hfopenllm_v2/allknowingroger/Ph3merge2-14B/b5790fec-6c12-42a3-853c-488658bf949d.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/allknowingroger_Ph3merge2-14B/1762652579.996639",
-  "retrieved_timestamp": "1762652579.99664",
-  "source_data": [
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-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "allknowingroger/Ph3merge2-14B",
-    "developer": "allknowingroger",
-    "inference_platform": "unknown",
-    "id": "allknowingroger/Ph3merge2-14B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Phi3ForCausalLM",
-      "params_billions": 13.619
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "evaluation_name": "BBH",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-      },
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.0
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
-        "score": 0.2911073825503356
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3910833333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1722905585106383
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/allknowingroger/Ph3merge2-14B/fd55f19a-2c22-4f29-82e0-15b02f25b9a9.json b/data/hfopenllm_v2/allknowingroger/Ph3merge2-14B/fd55f19a-2c22-4f29-82e0-15b02f25b9a9.json
new file mode 100644
index 000000000..3229ae0a1
--- /dev/null
+++ b/data/hfopenllm_v2/allknowingroger/Ph3merge2-14B/fd55f19a-2c22-4f29-82e0-15b02f25b9a9.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/allknowingroger_Ph3merge2-14B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Ph3merge2-14B",
+    "id": "allknowingroger/Ph3merge2-14B",
+    "developer": "allknowingroger",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Phi3ForCausalLM",
+      "params_billions": 13.619
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1706
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3607
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2911
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3911
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1723
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/allknowingroger/Ph3merge3-14B/18e5decd-c95e-43d2-9ba2-007ba32e216f.json b/data/hfopenllm_v2/allknowingroger/Ph3merge3-14B/18e5decd-c95e-43d2-9ba2-007ba32e216f.json
new file mode 100644
index 000000000..56d85e1a4
--- /dev/null
+++ b/data/hfopenllm_v2/allknowingroger/Ph3merge3-14B/18e5decd-c95e-43d2-9ba2-007ba32e216f.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/allknowingroger_Ph3merge3-14B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Ph3merge3-14B",
+    "id": "allknowingroger/Ph3merge3-14B",
+    "developer": "allknowingroger",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Phi3ForCausalLM",
+      "params_billions": 13.619
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1645
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3597
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2852
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4082
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1647
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/allknowingroger/Ph3merge3-14B/e5d9bded-a8e4-4133-84b9-6eac517a4226.json b/data/hfopenllm_v2/allknowingroger/Ph3merge3-14B/e5d9bded-a8e4-4133-84b9-6eac517a4226.json
deleted file mode 100644
index 8374d16f8..000000000
--- a/data/hfopenllm_v2/allknowingroger/Ph3merge3-14B/e5d9bded-a8e4-4133-84b9-6eac517a4226.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/allknowingroger_Ph3merge3-14B/1762652579.99685",
-  "retrieved_timestamp": "1762652579.996851",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "allknowingroger/Ph3merge3-14B",
-    "developer": "allknowingroger",
-    "inference_platform": "unknown",
-    "id": "allknowingroger/Ph3merge3-14B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Phi3ForCausalLM",
-      "params_billions": 13.619
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1645157072124186
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3597431731140411
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.0
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.28523489932885904
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.40819791666666666
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.16472739361702127
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/allknowingroger/Ph3task1-14B/718ef6de-5926-4a4c-bade-9a162ce8e730.json b/data/hfopenllm_v2/allknowingroger/Ph3task1-14B/718ef6de-5926-4a4c-bade-9a162ce8e730.json
deleted file mode 100644
index 7388751df..000000000
--- a/data/hfopenllm_v2/allknowingroger/Ph3task1-14B/718ef6de-5926-4a4c-bade-9a162ce8e730.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
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-    "developer": "allknowingroger",
-    "inference_platform": "unknown",
-    "id": "allknowingroger/Ph3task1-14B",
-    "additional_details": {
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-      "architecture": "Phi3ForCausalLM",
-      "params_billions": 13.96
-    }
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-  "evaluation_results": [
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-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-        "score_type": "continuous",
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
-        "score": 0.35067114093959734
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-    },
-    {
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-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4734042553191489
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/allknowingroger/Ph3task1-14B/85a4996e-8c44-4e4f-9478-19a8c5513617.json b/data/hfopenllm_v2/allknowingroger/Ph3task1-14B/85a4996e-8c44-4e4f-9478-19a8c5513617.json
new file mode 100644
index 000000000..7b39272a0
--- /dev/null
+++ b/data/hfopenllm_v2/allknowingroger/Ph3task1-14B/85a4996e-8c44-4e4f-9478-19a8c5513617.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/allknowingroger_Ph3task1-14B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Ph3task1-14B",
+    "id": "allknowingroger/Ph3task1-14B",
+    "developer": "allknowingroger",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Phi3ForCausalLM",
+      "params_billions": 13.96
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4695
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6318
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3507
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4508
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4734
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/allknowingroger/Ph3task2-14B/5d818d86-2caf-4b29-9c15-8fa27217de22.json b/data/hfopenllm_v2/allknowingroger/Ph3task2-14B/5d818d86-2caf-4b29-9c15-8fa27217de22.json
deleted file mode 100644
index ee90bdacb..000000000
--- a/data/hfopenllm_v2/allknowingroger/Ph3task2-14B/5d818d86-2caf-4b29-9c15-8fa27217de22.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "allknowingroger/Ph3task2-14B",
-    "developer": "allknowingroger",
-    "inference_platform": "unknown",
-    "id": "allknowingroger/Ph3task2-14B",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Phi3ForCausalLM",
-      "params_billions": 13.96
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-    {
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-        "score_type": "continuous",
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-    {
-      "evaluation_name": "MATH Level 5",
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-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
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-    {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4535
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-}
diff --git a/data/hfopenllm_v2/allknowingroger/Ph3task2-14B/db6d57c8-df0b-407e-b937-67c55b513a5f.json b/data/hfopenllm_v2/allknowingroger/Ph3task2-14B/db6d57c8-df0b-407e-b937-67c55b513a5f.json
new file mode 100644
index 000000000..32356567b
--- /dev/null
+++ b/data/hfopenllm_v2/allknowingroger/Ph3task2-14B/db6d57c8-df0b-407e-b937-67c55b513a5f.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/allknowingroger_Ph3task2-14B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Ph3task2-14B",
+    "id": "allknowingroger/Ph3task2-14B",
+    "developer": "allknowingroger",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Phi3ForCausalLM",
+      "params_billions": 13.96
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4713
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6098
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3305
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4535
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.446
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/allknowingroger/Ph3task3-14B/89ac933d-0a7c-40e6-8fa7-35bb6205e44b.json b/data/hfopenllm_v2/allknowingroger/Ph3task3-14B/89ac933d-0a7c-40e6-8fa7-35bb6205e44b.json
new file mode 100644
index 000000000..817fe3f3d
--- /dev/null
+++ b/data/hfopenllm_v2/allknowingroger/Ph3task3-14B/89ac933d-0a7c-40e6-8fa7-35bb6205e44b.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/allknowingroger_Ph3task3-14B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Ph3task3-14B",
+    "id": "allknowingroger/Ph3task3-14B",
+    "developer": "allknowingroger",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Phi3ForCausalLM",
+      "params_billions": 13.96
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4962
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6298
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.176
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3414
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4426
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4771
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/allknowingroger/Ph3task3-14B/a935c0d1-6623-45c6-a100-96c8b5a3a2fb.json b/data/hfopenllm_v2/allknowingroger/Ph3task3-14B/a935c0d1-6623-45c6-a100-96c8b5a3a2fb.json
deleted file mode 100644
index 420fd88b6..000000000
--- a/data/hfopenllm_v2/allknowingroger/Ph3task3-14B/a935c0d1-6623-45c6-a100-96c8b5a3a2fb.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/allknowingroger_Ph3task3-14B/1762652579.997498",
-  "retrieved_timestamp": "1762652579.997499",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "allknowingroger/Ph3task3-14B",
-    "developer": "allknowingroger",
-    "inference_platform": "unknown",
-    "id": "allknowingroger/Ph3task3-14B",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Phi3ForCausalLM",
-      "params_billions": 13.96
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4962421929369628
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-    },
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-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6297915743094921
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.17598187311178248
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-      },
-      "score_details": {
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-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.44255208333333335
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.47706117021276595
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/allknowingroger/Ph3unsloth-3B-slerp/0a9be33a-792e-413c-b60d-3e97a060fa78.json b/data/hfopenllm_v2/allknowingroger/Ph3unsloth-3B-slerp/0a9be33a-792e-413c-b60d-3e97a060fa78.json
deleted file mode 100644
index 7e96754c1..000000000
--- a/data/hfopenllm_v2/allknowingroger/Ph3unsloth-3B-slerp/0a9be33a-792e-413c-b60d-3e97a060fa78.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/allknowingroger_Ph3unsloth-3B-slerp/1762652579.99772",
-  "retrieved_timestamp": "1762652579.99772",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "allknowingroger/Ph3unsloth-3B-slerp",
-    "developer": "allknowingroger",
-    "inference_platform": "unknown",
-    "id": "allknowingroger/Ph3unsloth-3B-slerp",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 3.821
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.18944511673470835
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5468077356147099
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.10120845921450151
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.32466442953020136
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.45278124999999997
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3700964095744681
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/allknowingroger/Ph3unsloth-3B-slerp/c79e690f-3e09-4fac-9412-937a3b7ef352.json b/data/hfopenllm_v2/allknowingroger/Ph3unsloth-3B-slerp/c79e690f-3e09-4fac-9412-937a3b7ef352.json
new file mode 100644
index 000000000..ba7ad3c78
--- /dev/null
+++ b/data/hfopenllm_v2/allknowingroger/Ph3unsloth-3B-slerp/c79e690f-3e09-4fac-9412-937a3b7ef352.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/allknowingroger_Ph3unsloth-3B-slerp/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Ph3unsloth-3B-slerp",
+    "id": "allknowingroger/Ph3unsloth-3B-slerp",
+    "developer": "allknowingroger",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 3.821
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1894
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5468
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1012
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3247
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4528
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3701
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/allknowingroger/Phi3mash1-17B-pass/ce74b7e3-8505-4c79-a7de-12d1e6b47155.json b/data/hfopenllm_v2/allknowingroger/Phi3mash1-17B-pass/ce74b7e3-8505-4c79-a7de-12d1e6b47155.json
new file mode 100644
index 000000000..fb008b871
--- /dev/null
+++ b/data/hfopenllm_v2/allknowingroger/Phi3mash1-17B-pass/ce74b7e3-8505-4c79-a7de-12d1e6b47155.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/allknowingroger_Phi3mash1-17B-pass/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Phi3mash1-17B-pass",
+    "id": "allknowingroger/Phi3mash1-17B-pass",
+    "developer": "allknowingroger",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 16.687
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1884
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6129
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3196
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4451
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4589
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/allknowingroger/Quen2-65B/3c562d8a-2df9-4d3f-9699-bfaee4a1ce2b.json b/data/hfopenllm_v2/allknowingroger/Quen2-65B/3c562d8a-2df9-4d3f-9699-bfaee4a1ce2b.json
new file mode 100644
index 000000000..bd16b28e4
--- /dev/null
+++ b/data/hfopenllm_v2/allknowingroger/Quen2-65B/3c562d8a-2df9-4d3f-9699-bfaee4a1ce2b.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/allknowingroger_Quen2-65B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Quen2-65B",
+    "id": "allknowingroger/Quen2-65B",
+    "developer": "allknowingroger",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 63.923
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1758
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2757
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2357
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3209
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1114
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/allknowingroger/Quen2-65B/4bc3f55b-0638-4fc2-b1d9-04780707acef.json b/data/hfopenllm_v2/allknowingroger/Quen2-65B/4bc3f55b-0638-4fc2-b1d9-04780707acef.json
deleted file mode 100644
index 179f9d5f9..000000000
--- a/data/hfopenllm_v2/allknowingroger/Quen2-65B/4bc3f55b-0638-4fc2-b1d9-04780707acef.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/allknowingroger_Quen2-65B/1762652579.9981499",
-  "retrieved_timestamp": "1762652579.9981499",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "allknowingroger/Quen2-65B",
-    "developer": "allknowingroger",
-    "inference_platform": "unknown",
-    "id": "allknowingroger/Quen2-65B",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 63.923
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
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new file mode 100644
index 000000000..a56e8fc53
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+++ b/data/hfopenllm_v2/allknowingroger/Qwen2.5-42B-AGI/152b0cbe-e27b-4438-8326-e67f4e70e600.json
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diff --git a/data/hfopenllm_v2/allknowingroger/Qwen2.5-7B-task2/c733c91f-79a9-49e5-9398-3a424ee1940a.json b/data/hfopenllm_v2/allknowingroger/Qwen2.5-7B-task2/c733c91f-79a9-49e5-9398-3a424ee1940a.json
new file mode 100644
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diff --git a/data/hfopenllm_v2/allknowingroger/Qwen2.5-7B-task3/32d7b6c6-de5c-4864-a446-97dccce378c5.json b/data/hfopenllm_v2/allknowingroger/Qwen2.5-7B-task3/32d7b6c6-de5c-4864-a446-97dccce378c5.json
new file mode 100644
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diff --git a/data/hfopenllm_v2/allknowingroger/Qwen2.5-7B-task4/7b22d02b-5bfd-4243-9ad9-c858d0af55a6.json b/data/hfopenllm_v2/allknowingroger/Qwen2.5-7B-task4/7b22d02b-5bfd-4243-9ad9-c858d0af55a6.json
new file mode 100644
index 000000000..fcd61a787
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diff --git a/data/hfopenllm_v2/allknowingroger/Qwen2.5-7B-task7/99650529-55d9-42b0-b812-761a30277e5e.json b/data/hfopenllm_v2/allknowingroger/Qwen2.5-7B-task7/99650529-55d9-42b0-b812-761a30277e5e.json
new file mode 100644
index 000000000..3af393c86
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diff --git a/data/hfopenllm_v2/allknowingroger/Qwen2.5-7B-task8/81abbc2a-791b-4a39-bb46-97edfa14b9c0.json b/data/hfopenllm_v2/allknowingroger/Qwen2.5-7B-task8/81abbc2a-791b-4a39-bb46-97edfa14b9c0.json
new file mode 100644
index 000000000..fcd83a7a4
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+++ b/data/hfopenllm_v2/allknowingroger/Qwen2.5-7B-task8/81abbc2a-791b-4a39-bb46-97edfa14b9c0.json
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diff --git a/data/hfopenllm_v2/allknowingroger/Qwen2.5-slerp-14B/c658e535-7098-40fc-bea0-f5734d8f4ca9.json b/data/hfopenllm_v2/allknowingroger/Qwen2.5-slerp-14B/c658e535-7098-40fc-bea0-f5734d8f4ca9.json
new file mode 100644
index 000000000..9b625885c
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diff --git a/data/hfopenllm_v2/allknowingroger/QwenSlerp12-7B/9e0656e9-9b82-4f6d-b00a-c09cf9cbc105.json b/data/hfopenllm_v2/allknowingroger/QwenSlerp12-7B/9e0656e9-9b82-4f6d-b00a-c09cf9cbc105.json
new file mode 100644
index 000000000..e6896f1a4
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/allknowingroger/QwenSlerp4-14B/07c36058-e0e8-48ea-85f3-0a2cb2fe3443.json b/data/hfopenllm_v2/allknowingroger/QwenSlerp4-14B/07c36058-e0e8-48ea-85f3-0a2cb2fe3443.json
new file mode 100644
index 000000000..38cf85407
--- /dev/null
+++ b/data/hfopenllm_v2/allknowingroger/QwenSlerp4-14B/07c36058-e0e8-48ea-85f3-0a2cb2fe3443.json
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diff --git a/data/hfopenllm_v2/allknowingroger/QwenSlerp5-14B/c41d8925-b56b-458e-b1a9-27dbbcaee149.json b/data/hfopenllm_v2/allknowingroger/QwenSlerp5-14B/c41d8925-b56b-458e-b1a9-27dbbcaee149.json
new file mode 100644
index 000000000..615bfa0a9
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new file mode 100644
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diff --git a/data/hfopenllm_v2/allknowingroger/QwenStock1-14B/c395ef02-9a50-4696-aad2-bcb32ba05f67.json b/data/hfopenllm_v2/allknowingroger/QwenStock1-14B/c395ef02-9a50-4696-aad2-bcb32ba05f67.json
new file mode 100644
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diff --git a/data/hfopenllm_v2/allknowingroger/QwenStock2-14B/93f47969-556a-4fd4-b7bb-4d1c861a8d71.json b/data/hfopenllm_v2/allknowingroger/QwenStock2-14B/93f47969-556a-4fd4-b7bb-4d1c861a8d71.json
new file mode 100644
index 000000000..83694e0b6
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diff --git a/data/hfopenllm_v2/allknowingroger/QwenStock3-14B/349ae559-6c1f-4b2f-954c-e83cba1e603a.json b/data/hfopenllm_v2/allknowingroger/QwenStock3-14B/349ae559-6c1f-4b2f-954c-e83cba1e603a.json
new file mode 100644
index 000000000..5d15474d8
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diff --git a/data/hfopenllm_v2/allknowingroger/Qwenslerp2-14B/3e43c3f6-645b-4ab3-b684-b23eb67bc5d9.json b/data/hfopenllm_v2/allknowingroger/Qwenslerp2-14B/3e43c3f6-645b-4ab3-b684-b23eb67bc5d9.json
new file mode 100644
index 000000000..74527b77f
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new file mode 100644
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diff --git a/data/hfopenllm_v2/allknowingroger/Qwenslerp3-14B/340a3ebb-bc06-404f-84e7-aeccc016fd32.json b/data/hfopenllm_v2/allknowingroger/Qwenslerp3-14B/340a3ebb-bc06-404f-84e7-aeccc016fd32.json
new file mode 100644
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diff --git a/data/hfopenllm_v2/allknowingroger/Qwenslerp3-7B/a6426f88-d7cc-4e6a-a2b5-76e59a52a6de.json b/data/hfopenllm_v2/allknowingroger/Qwenslerp3-7B/a6426f88-d7cc-4e6a-a2b5-76e59a52a6de.json
new file mode 100644
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/allknowingroger/ROGERphi-7B-slerp/bdd05c8f-b895-4c91-9a9f-a608a4259cbd.json b/data/hfopenllm_v2/allknowingroger/ROGERphi-7B-slerp/bdd05c8f-b895-4c91-9a9f-a608a4259cbd.json
new file mode 100644
index 000000000..0ef272faf
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+++ b/data/hfopenllm_v2/allknowingroger/ROGERphi-7B-slerp/bdd05c8f-b895-4c91-9a9f-a608a4259cbd.json
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+      "score_details": {
+        "score": 0.5196
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0733
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2886
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4685
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3053
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/allknowingroger/RogerMerge-7B-slerp/0e1e45d4-2747-480d-9b1f-2b200e250271.json b/data/hfopenllm_v2/allknowingroger/RogerMerge-7B-slerp/0e1e45d4-2747-480d-9b1f-2b200e250271.json
new file mode 100644
index 000000000..e44fe42b8
--- /dev/null
+++ b/data/hfopenllm_v2/allknowingroger/RogerMerge-7B-slerp/0e1e45d4-2747-480d-9b1f-2b200e250271.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/allknowingroger_RogerMerge-7B-slerp/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "RogerMerge-7B-slerp",
+    "id": "allknowingroger/RogerMerge-7B-slerp",
+    "developer": "allknowingroger",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3933
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.516
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0687
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2802
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.432
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.303
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/allknowingroger/RogerMerge-7B-slerp/50289a8b-4522-4dca-b6dc-aa42193deefa.json b/data/hfopenllm_v2/allknowingroger/RogerMerge-7B-slerp/50289a8b-4522-4dca-b6dc-aa42193deefa.json
deleted file mode 100644
index 1c35cbca1..000000000
--- a/data/hfopenllm_v2/allknowingroger/RogerMerge-7B-slerp/50289a8b-4522-4dca-b6dc-aa42193deefa.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/allknowingroger_RogerMerge-7B-slerp/1762652580.002474",
-  "retrieved_timestamp": "1762652580.002475",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "allknowingroger/RogerMerge-7B-slerp",
-    "developer": "allknowingroger",
-    "inference_platform": "unknown",
-    "id": "allknowingroger/RogerMerge-7B-slerp",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.39330199426410817
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5160176493085935
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.06873111782477341
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2802013422818792
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.43197916666666664
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30302526595744683
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/allknowingroger/Rombos-LLM-V2.5-Qwen-42b/00f3f9ca-ae7d-4e62-9e7e-6bd202dbed59.json b/data/hfopenllm_v2/allknowingroger/Rombos-LLM-V2.5-Qwen-42b/00f3f9ca-ae7d-4e62-9e7e-6bd202dbed59.json
new file mode 100644
index 000000000..213c2250c
--- /dev/null
+++ b/data/hfopenllm_v2/allknowingroger/Rombos-LLM-V2.5-Qwen-42b/00f3f9ca-ae7d-4e62-9e7e-6bd202dbed59.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/allknowingroger_Rombos-LLM-V2.5-Qwen-42b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Rombos-LLM-V2.5-Qwen-42b",
+    "id": "allknowingroger/Rombos-LLM-V2.5-Qwen-42b",
+    "developer": "allknowingroger",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 42.516
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1879
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2969
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2626
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3633
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1168
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/allknowingroger/Strangecoven-7B-slerp/c9e57ab2-c2a4-4935-b976-4bf24647b777.json b/data/hfopenllm_v2/allknowingroger/Strangecoven-7B-slerp/c9e57ab2-c2a4-4935-b976-4bf24647b777.json
new file mode 100644
index 000000000..a4348c83f
--- /dev/null
+++ b/data/hfopenllm_v2/allknowingroger/Strangecoven-7B-slerp/c9e57ab2-c2a4-4935-b976-4bf24647b777.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/allknowingroger_Strangecoven-7B-slerp/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Strangecoven-7B-slerp",
+    "id": "allknowingroger/Strangecoven-7B-slerp",
+    "developer": "allknowingroger",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3746
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5368
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0763
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2894
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4199
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3364
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/allknowingroger/Strangecoven-7B-slerp/f125c8d1-57f3-4b79-ace4-2104b008a507.json b/data/hfopenllm_v2/allknowingroger/Strangecoven-7B-slerp/f125c8d1-57f3-4b79-ace4-2104b008a507.json
deleted file mode 100644
index 81fee9104..000000000
--- a/data/hfopenllm_v2/allknowingroger/Strangecoven-7B-slerp/f125c8d1-57f3-4b79-ace4-2104b008a507.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/allknowingroger_Strangecoven-7B-slerp/1762652580.002888",
-  "retrieved_timestamp": "1762652580.002889",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "allknowingroger/Strangecoven-7B-slerp",
-    "developer": "allknowingroger",
-    "inference_platform": "unknown",
-    "id": "allknowingroger/Strangecoven-7B-slerp",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37464261492839
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diff --git a/data/hfopenllm_v2/allknowingroger/Weirdslerp2-25B/61e517f7-e2db-48bd-8f4e-f62b5859b62e.json b/data/hfopenllm_v2/allknowingroger/Weirdslerp2-25B/61e517f7-e2db-48bd-8f4e-f62b5859b62e.json
deleted file mode 100644
index ce85ee09d..000000000
--- a/data/hfopenllm_v2/allknowingroger/Weirdslerp2-25B/61e517f7-e2db-48bd-8f4e-f62b5859b62e.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/allknowingroger_Weirdslerp2-25B/1762652580.00309",
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
-    "name": "allknowingroger/Weirdslerp2-25B",
-    "developer": "allknowingroger",
-    "inference_platform": "unknown",
-    "id": "allknowingroger/Weirdslerp2-25B",
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-        "score_type": "continuous",
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-      "score_details": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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diff --git a/data/hfopenllm_v2/allknowingroger/Weirdslerp2-25B/c22436a2-ec60-4220-82b3-123618165eb2.json b/data/hfopenllm_v2/allknowingroger/Weirdslerp2-25B/c22436a2-ec60-4220-82b3-123618165eb2.json
new file mode 100644
index 000000000..a8975282d
--- /dev/null
+++ b/data/hfopenllm_v2/allknowingroger/Weirdslerp2-25B/c22436a2-ec60-4220-82b3-123618165eb2.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/allknowingroger_Weirdslerp2-25B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Weirdslerp2-25B",
+    "id": "allknowingroger/Weirdslerp2-25B",
+    "developer": "allknowingroger",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 25.204
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1754
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2874
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+      }
+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2492
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3524
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1128
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/allknowingroger/WestlakeMaziyar-7B-slerp/1f990438-dd84-44d2-99f9-a10035ecd652.json b/data/hfopenllm_v2/allknowingroger/WestlakeMaziyar-7B-slerp/1f990438-dd84-44d2-99f9-a10035ecd652.json
new file mode 100644
index 000000000..75ae48ca3
--- /dev/null
+++ b/data/hfopenllm_v2/allknowingroger/WestlakeMaziyar-7B-slerp/1f990438-dd84-44d2-99f9-a10035ecd652.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/allknowingroger_WestlakeMaziyar-7B-slerp/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "WestlakeMaziyar-7B-slerp",
+    "id": "allknowingroger/WestlakeMaziyar-7B-slerp",
+    "developer": "allknowingroger",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4838
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5245
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0665
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3037
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4474
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3078
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/allknowingroger/WestlakeMaziyar-7B-slerp/2db948db-a9e5-41cf-9567-2f9198d80900.json b/data/hfopenllm_v2/allknowingroger/WestlakeMaziyar-7B-slerp/2db948db-a9e5-41cf-9567-2f9198d80900.json
deleted file mode 100644
index 8dd4614f8..000000000
--- a/data/hfopenllm_v2/allknowingroger/WestlakeMaziyar-7B-slerp/2db948db-a9e5-41cf-9567-2f9198d80900.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/allknowingroger_WestlakeMaziyar-7B-slerp/1762652580.003291",
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-  "source_data": [
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-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
-    "name": "allknowingroger/WestlakeMaziyar-7B-slerp",
-    "developer": "allknowingroger",
-    "inference_platform": "unknown",
-    "id": "allknowingroger/WestlakeMaziyar-7B-slerp",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
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-  "evaluation_results": [
-    {
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3077626329787234
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/allknowingroger/YamMaths-7B-slerp/52ab1e94-4e6f-4876-932b-a45a033dec1b.json b/data/hfopenllm_v2/allknowingroger/YamMaths-7B-slerp/52ab1e94-4e6f-4876-932b-a45a033dec1b.json
deleted file mode 100644
index 1a168c29f..000000000
--- a/data/hfopenllm_v2/allknowingroger/YamMaths-7B-slerp/52ab1e94-4e6f-4876-932b-a45a033dec1b.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/allknowingroger_YamMaths-7B-slerp/1762652580.003488",
-  "retrieved_timestamp": "1762652580.003489",
-  "source_data": [
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-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
-    "name": "allknowingroger/YamMaths-7B-slerp",
-    "developer": "allknowingroger",
-    "inference_platform": "unknown",
-    "id": "allknowingroger/YamMaths-7B-slerp",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
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-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
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-        "score_type": "continuous",
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-        "max_score": 1
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-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-}
diff --git a/data/hfopenllm_v2/allknowingroger/YamMaths-7B-slerp/f4564f5e-3595-466e-8201-0e2a4c50ff0d.json b/data/hfopenllm_v2/allknowingroger/YamMaths-7B-slerp/f4564f5e-3595-466e-8201-0e2a4c50ff0d.json
new file mode 100644
index 000000000..ab0338d1d
--- /dev/null
+++ b/data/hfopenllm_v2/allknowingroger/YamMaths-7B-slerp/f4564f5e-3595-466e-8201-0e2a4c50ff0d.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/allknowingroger_YamMaths-7B-slerp/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "YamMaths-7B-slerp",
+    "id": "allknowingroger/YamMaths-7B-slerp",
+    "developer": "allknowingroger",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4148
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5156
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0853
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2802
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4384
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3131
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/allknowingroger/Yi-1.5-34B/040def3a-702d-4868-b429-39697ca36207.json b/data/hfopenllm_v2/allknowingroger/Yi-1.5-34B/040def3a-702d-4868-b429-39697ca36207.json
new file mode 100644
index 000000000..73e379495
--- /dev/null
+++ b/data/hfopenllm_v2/allknowingroger/Yi-1.5-34B/040def3a-702d-4868-b429-39697ca36207.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/allknowingroger_Yi-1.5-34B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Yi-1.5-34B",
+    "id": "allknowingroger/Yi-1.5-34B",
+    "developer": "allknowingroger",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 34.389
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1639
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2827
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2584
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3857
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1095
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/allknowingroger/Yi-1.5-34B/98455065-72e1-4dad-bce1-1c3ceddf5433.json b/data/hfopenllm_v2/allknowingroger/Yi-1.5-34B/98455065-72e1-4dad-bce1-1c3ceddf5433.json
deleted file mode 100644
index acb89e6c7..000000000
--- a/data/hfopenllm_v2/allknowingroger/Yi-1.5-34B/98455065-72e1-4dad-bce1-1c3ceddf5433.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/allknowingroger_Yi-1.5-34B/1762652580.0036852",
-  "retrieved_timestamp": "1762652580.003686",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "allknowingroger/Yi-1.5-34B",
-    "developer": "allknowingroger",
-    "inference_platform": "unknown",
-    "id": "allknowingroger/Yi-1.5-34B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 34.389
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
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-      }
-    },
-    {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-      }
-    },
-    {
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-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.25838926174496646
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.38565625
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.10954122340425532
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/allknowingroger/Yi-blossom-40B/9e24fd65-56ec-4160-b299-b34d702a3231.json b/data/hfopenllm_v2/allknowingroger/Yi-blossom-40B/9e24fd65-56ec-4160-b299-b34d702a3231.json
new file mode 100644
index 000000000..6517b6a6e
--- /dev/null
+++ b/data/hfopenllm_v2/allknowingroger/Yi-blossom-40B/9e24fd65-56ec-4160-b299-b34d702a3231.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/allknowingroger_Yi-blossom-40B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Yi-blossom-40B",
+    "id": "allknowingroger/Yi-blossom-40B",
+    "developer": "allknowingroger",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 18.769
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2009
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3215
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2743
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3843
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.108
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/allknowingroger/Yi-blossom-40B/b35eaca2-0f77-4171-bbcf-23a191b055f2.json b/data/hfopenllm_v2/allknowingroger/Yi-blossom-40B/b35eaca2-0f77-4171-bbcf-23a191b055f2.json
deleted file mode 100644
index 336baf1f5..000000000
--- a/data/hfopenllm_v2/allknowingroger/Yi-blossom-40B/b35eaca2-0f77-4171-bbcf-23a191b055f2.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/allknowingroger_Yi-blossom-40B/1762652580.004046",
-  "retrieved_timestamp": "1762652580.0040479",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "allknowingroger/Yi-blossom-40B",
-    "developer": "allknowingroger",
-    "inference_platform": "unknown",
-    "id": "allknowingroger/Yi-blossom-40B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 18.769
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.20088587170928693
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.32150442258143547
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.0
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.27432885906040266
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3842604166666666
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.10804521276595745
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/allknowingroger/Yibuddy-35B/216bf9f8-9521-4311-a40b-8a847271265c.json b/data/hfopenllm_v2/allknowingroger/Yibuddy-35B/216bf9f8-9521-4311-a40b-8a847271265c.json
new file mode 100644
index 000000000..a8d56323b
--- /dev/null
+++ b/data/hfopenllm_v2/allknowingroger/Yibuddy-35B/216bf9f8-9521-4311-a40b-8a847271265c.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/allknowingroger_Yibuddy-35B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Yibuddy-35B",
+    "id": "allknowingroger/Yibuddy-35B",
+    "developer": "allknowingroger",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 34.389
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4235
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5916
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1571
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3557
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4505
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4489
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/allknowingroger/Yibuddy-35B/dc2688b9-9dff-4a2e-b3d8-3bdc82634d20.json b/data/hfopenllm_v2/allknowingroger/Yibuddy-35B/dc2688b9-9dff-4a2e-b3d8-3bdc82634d20.json
deleted file mode 100644
index 7faa4ec0b..000000000
--- a/data/hfopenllm_v2/allknowingroger/Yibuddy-35B/dc2688b9-9dff-4a2e-b3d8-3bdc82634d20.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/allknowingroger_Yibuddy-35B/1762652580.004411",
-  "retrieved_timestamp": "1762652580.004412",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "allknowingroger/Yibuddy-35B",
-    "developer": "allknowingroger",
-    "inference_platform": "unknown",
-    "id": "allknowingroger/Yibuddy-35B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 34.389
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4234774841864032
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5916185369526096
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.15709969788519637
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.35570469798657717
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.45045833333333335
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.44888630319148937
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/allknowingroger/Yillama-40B/45f8c4fb-3591-44df-a4f0-57093b9bae23.json b/data/hfopenllm_v2/allknowingroger/Yillama-40B/45f8c4fb-3591-44df-a4f0-57093b9bae23.json
new file mode 100644
index 000000000..925316eac
--- /dev/null
+++ b/data/hfopenllm_v2/allknowingroger/Yillama-40B/45f8c4fb-3591-44df-a4f0-57093b9bae23.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/allknowingroger_Yillama-40B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Yillama-40B",
+    "id": "allknowingroger/Yillama-40B",
+    "developer": "allknowingroger",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 34.389
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1697
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4063
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2827
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3501
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1981
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/allknowingroger/Yislerp-34B/723d2f60-f12a-4abb-9061-807fd38e7d51.json b/data/hfopenllm_v2/allknowingroger/Yislerp-34B/723d2f60-f12a-4abb-9061-807fd38e7d51.json
deleted file mode 100644
index a8d92c2d1..000000000
--- a/data/hfopenllm_v2/allknowingroger/Yislerp-34B/723d2f60-f12a-4abb-9061-807fd38e7d51.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/allknowingroger_Yislerp-34B/1762652580.0049741",
-  "retrieved_timestamp": "1762652580.004975",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "allknowingroger/Yislerp-34B",
-    "developer": "allknowingroger",
-    "inference_platform": "unknown",
-    "id": "allknowingroger/Yislerp-34B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 34.389
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3691970637907419
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6158722731484186
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.21601208459214502
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.35822147651006714
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.456625
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4751496010638298
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/allknowingroger/Yislerp-34B/d17275ef-8a32-4fcb-94f4-fb24299ba50e.json b/data/hfopenllm_v2/allknowingroger/Yislerp-34B/d17275ef-8a32-4fcb-94f4-fb24299ba50e.json
new file mode 100644
index 000000000..8c5bc4734
--- /dev/null
+++ b/data/hfopenllm_v2/allknowingroger/Yislerp-34B/d17275ef-8a32-4fcb-94f4-fb24299ba50e.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/allknowingroger_Yislerp-34B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Yislerp-34B",
+    "id": "allknowingroger/Yislerp-34B",
+    "developer": "allknowingroger",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 34.389
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3692
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6159
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.216
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3582
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4566
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4751
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/allknowingroger/Yislerp2-34B/61b79e7d-0f50-4cfe-825c-ed5b23d943f3.json b/data/hfopenllm_v2/allknowingroger/Yislerp2-34B/61b79e7d-0f50-4cfe-825c-ed5b23d943f3.json
new file mode 100644
index 000000000..15c44b31d
--- /dev/null
+++ b/data/hfopenllm_v2/allknowingroger/Yislerp2-34B/61b79e7d-0f50-4cfe-825c-ed5b23d943f3.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/allknowingroger_Yislerp2-34B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Yislerp2-34B",
+    "id": "allknowingroger/Yislerp2-34B",
+    "developer": "allknowingroger",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 34.389
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3999
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6246
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2296
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3641
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.453
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4724
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/allknowingroger/Yislerp2-34B/ce55aca1-80bd-4711-ad05-d812d206bd14.json b/data/hfopenllm_v2/allknowingroger/Yislerp2-34B/ce55aca1-80bd-4711-ad05-d812d206bd14.json
deleted file mode 100644
index 52fe82cdf..000000000
--- a/data/hfopenllm_v2/allknowingroger/Yislerp2-34B/ce55aca1-80bd-4711-ad05-d812d206bd14.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/allknowingroger_Yislerp2-34B/1762652580.005196",
-  "retrieved_timestamp": "1762652580.005197",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "allknowingroger/Yislerp2-34B",
-    "developer": "allknowingroger",
-    "inference_platform": "unknown",
-    "id": "allknowingroger/Yislerp2-34B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 34.389
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.39994658616914236
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-    {
-      "evaluation_name": "BBH",
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-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-    {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3640939597315436
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.45296875
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/allknowingroger/Yunconglong-13B-slerp/113c3507-b738-4b06-ada8-da93b19c6ae2.json b/data/hfopenllm_v2/allknowingroger/Yunconglong-13B-slerp/113c3507-b738-4b06-ada8-da93b19c6ae2.json
new file mode 100644
index 000000000..ca824d478
--- /dev/null
+++ b/data/hfopenllm_v2/allknowingroger/Yunconglong-13B-slerp/113c3507-b738-4b06-ada8-da93b19c6ae2.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/allknowingroger_Yunconglong-13B-slerp/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Yunconglong-13B-slerp",
+    "id": "allknowingroger/Yunconglong-13B-slerp",
+    "developer": "allknowingroger",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MixtralForCausalLM",
+      "params_billions": 12.879
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4242
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5166
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0544
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.281
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4161
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3036
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/allknowingroger/Yunconglong-13B-slerp/8ae47af1-5ae6-4cb9-ac94-8d70fda5126d.json b/data/hfopenllm_v2/allknowingroger/Yunconglong-13B-slerp/8ae47af1-5ae6-4cb9-ac94-8d70fda5126d.json
deleted file mode 100644
index 887c9ad0d..000000000
--- a/data/hfopenllm_v2/allknowingroger/Yunconglong-13B-slerp/8ae47af1-5ae6-4cb9-ac94-8d70fda5126d.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/allknowingroger_Yunconglong-13B-slerp/1762652580.005601",
-  "retrieved_timestamp": "1762652580.005603",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "allknowingroger/Yunconglong-13B-slerp",
-    "developer": "allknowingroger",
-    "inference_platform": "unknown",
-    "id": "allknowingroger/Yunconglong-13B-slerp",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MixtralForCausalLM",
-      "params_billions": 12.879
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42417673993891764
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5165807158493828
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
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-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.28104026845637586
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4160729166666666
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30360704787234044
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/allknowingroger/limyClown-7B-slerp/420f8334-c420-4b8f-8853-fea8f4f5ac6d.json b/data/hfopenllm_v2/allknowingroger/limyClown-7B-slerp/420f8334-c420-4b8f-8853-fea8f4f5ac6d.json
deleted file mode 100644
index f97417a00..000000000
--- a/data/hfopenllm_v2/allknowingroger/limyClown-7B-slerp/420f8334-c420-4b8f-8853-fea8f4f5ac6d.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/allknowingroger_limyClown-7B-slerp/1762652580.005876",
-  "retrieved_timestamp": "1762652580.005877",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "allknowingroger/limyClown-7B-slerp",
-    "developer": "allknowingroger",
-    "inference_platform": "unknown",
-    "id": "allknowingroger/limyClown-7B-slerp",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
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-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4017451473202215
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-    },
-    {
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-        "evaluation_description": "Accuracy on BBH",
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-        "score_type": "continuous",
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-        "max_score": 1
-      },
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-        "score_type": "continuous",
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-        "score_type": "continuous",
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-      "score_details": {
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-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
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-        "score_type": "continuous",
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-        "max_score": 1
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-      "score_details": {
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-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
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-      "score_details": {
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diff --git a/data/hfopenllm_v2/allknowingroger/limyClown-7B-slerp/8835d5c1-8350-4d42-a753-82b94dffda3b.json b/data/hfopenllm_v2/allknowingroger/limyClown-7B-slerp/8835d5c1-8350-4d42-a753-82b94dffda3b.json
new file mode 100644
index 000000000..b54682c35
--- /dev/null
+++ b/data/hfopenllm_v2/allknowingroger/limyClown-7B-slerp/8835d5c1-8350-4d42-a753-82b94dffda3b.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/allknowingroger_limyClown-7B-slerp/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "limyClown-7B-slerp",
+    "id": "allknowingroger/limyClown-7B-slerp",
+    "developer": "allknowingroger",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4017
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
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+        "evaluation_description": "Accuracy on BBH",
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/allknowingroger/llama3-Jallabi-40B-s/dc3bbda7-5007-44c7-b1ba-af0c82d100ee.json b/data/hfopenllm_v2/allknowingroger/llama3-Jallabi-40B-s/dc3bbda7-5007-44c7-b1ba-af0c82d100ee.json
new file mode 100644
index 000000000..3d7d9aa70
--- /dev/null
+++ b/data/hfopenllm_v2/allknowingroger/llama3-Jallabi-40B-s/dc3bbda7-5007-44c7-b1ba-af0c82d100ee.json
@@ -0,0 +1,132 @@
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/allknowingroger/llama3AnFeng-40B/0d24ee06-a6b4-4be7-b3ef-c4f53b4fc414.json b/data/hfopenllm_v2/allknowingroger/llama3AnFeng-40B/0d24ee06-a6b4-4be7-b3ef-c4f53b4fc414.json
new file mode 100644
index 000000000..ec77ddbf3
--- /dev/null
+++ b/data/hfopenllm_v2/allknowingroger/llama3AnFeng-40B/0d24ee06-a6b4-4be7-b3ef-c4f53b4fc414.json
@@ -0,0 +1,132 @@
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/allura-org/L3.1-8b-RP-Ink/cb8c45ae-1be6-4ab0-9317-cfbfc8850dc4.json b/data/hfopenllm_v2/allura-org/L3.1-8b-RP-Ink/cb8c45ae-1be6-4ab0-9317-cfbfc8850dc4.json
deleted file mode 100644
index d4c8f5ab3..000000000
--- a/data/hfopenllm_v2/allura-org/L3.1-8b-RP-Ink/cb8c45ae-1be6-4ab0-9317-cfbfc8850dc4.json
+++ /dev/null
@@ -1,105 +0,0 @@
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-}
diff --git a/data/hfopenllm_v2/allura-org/L3.1-8b-RP-Ink/f2415b7a-2cd7-4a05-834b-7da992e1da1a.json b/data/hfopenllm_v2/allura-org/L3.1-8b-RP-Ink/f2415b7a-2cd7-4a05-834b-7da992e1da1a.json
new file mode 100644
index 000000000..acab59baa
--- /dev/null
+++ b/data/hfopenllm_v2/allura-org/L3.1-8b-RP-Ink/f2415b7a-2cd7-4a05-834b-7da992e1da1a.json
@@ -0,0 +1,132 @@
+{
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+  "evaluation_id": "hfopenllm_v2/allura-org_L3.1-8b-RP-Ink/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
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+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
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+  "model_info": {
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+    "id": "allura-org/L3.1-8b-RP-Ink",
+    "developer": "allura-org",
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+        "source_type": "hf_dataset",
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
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+        "score_type": "continuous",
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+        "max_score": 1.0
+      },
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
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+      },
+      "score_details": {
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+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3428
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/allura-org/MN-12b-RP-Ink/01af237f-40d8-4841-a90d-13dce6db8634.json b/data/hfopenllm_v2/allura-org/MN-12b-RP-Ink/01af237f-40d8-4841-a90d-13dce6db8634.json
new file mode 100644
index 000000000..36c98b87c
--- /dev/null
+++ b/data/hfopenllm_v2/allura-org/MN-12b-RP-Ink/01af237f-40d8-4841-a90d-13dce6db8634.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/allura-org_MN-12b-RP-Ink/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "MN-12b-RP-Ink",
+    "id": "allura-org/MN-12b-RP-Ink",
+    "developer": "allura-org",
+    "inference_platform": "unknown",
+    "additional_details": {
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+  "evaluation_results": [
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+        "score_type": "continuous",
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+        "hf_repo": "SaylorTwift/bbh"
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
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+        "score_type": "continuous",
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+        "max_score": 1.0
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
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+    {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
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+        "evaluation_description": "Accuracy on MMLU-PRO",
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+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/allura-org/MN-12b-RP-Ink/3dc6cdf9-e75d-4f9f-9b91-9592e70566f8.json b/data/hfopenllm_v2/allura-org/MN-12b-RP-Ink/3dc6cdf9-e75d-4f9f-9b91-9592e70566f8.json
deleted file mode 100644
index 093693258..000000000
--- a/data/hfopenllm_v2/allura-org/MN-12b-RP-Ink/3dc6cdf9-e75d-4f9f-9b91-9592e70566f8.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/allura-org_MN-12b-RP-Ink/1762652580.006974",
-  "retrieved_timestamp": "1762652580.006975",
-  "source_data": [
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-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "allura-org/MN-12b-RP-Ink",
-    "developer": "allura-org",
-    "inference_platform": "unknown",
-    "id": "allura-org/MN-12b-RP-Ink",
-    "additional_details": {
-      "precision": "bfloat16",
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-      "params_billions": 12.248
-    }
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-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
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-        "lower_is_better": false,
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diff --git a/data/hfopenllm_v2/allura-org/MS-Meadowlark-22B/7ea2cf22-114f-449c-a9cf-c4f379646cd3.json b/data/hfopenllm_v2/allura-org/MS-Meadowlark-22B/7ea2cf22-114f-449c-a9cf-c4f379646cd3.json
deleted file mode 100644
index dc0b92289..000000000
--- a/data/hfopenllm_v2/allura-org/MS-Meadowlark-22B/7ea2cf22-114f-449c-a9cf-c4f379646cd3.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-    "name": "allura-org/MS-Meadowlark-22B",
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-    "id": "allura-org/MS-Meadowlark-22B",
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-        "score_type": "continuous",
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-      "evaluation_name": "MMLU-PRO",
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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diff --git a/data/hfopenllm_v2/allura-org/MS-Meadowlark-22B/d69bb392-fd38-4f57-b567-24566896167b.json b/data/hfopenllm_v2/allura-org/MS-Meadowlark-22B/d69bb392-fd38-4f57-b567-24566896167b.json
new file mode 100644
index 000000000..242f13b4f
--- /dev/null
+++ b/data/hfopenllm_v2/allura-org/MS-Meadowlark-22B/d69bb392-fd38-4f57-b567-24566896167b.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/allura-org_MS-Meadowlark-22B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "MS-Meadowlark-22B",
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+    "developer": "allura-org",
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+      "params_billions": 22.247
+    }
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
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+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
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+        "hf_repo": "Idavidrein/gpqa"
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+        "evaluation_description": "Accuracy on GPQA",
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+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3843
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+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3823
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/allura-org/Mistral-Small-24b-Sertraline-0304/63503943-1c1e-4dac-9c41-4933fbb44b70.json b/data/hfopenllm_v2/allura-org/Mistral-Small-24b-Sertraline-0304/63503943-1c1e-4dac-9c41-4933fbb44b70.json
new file mode 100644
index 000000000..a1e249c7d
--- /dev/null
+++ b/data/hfopenllm_v2/allura-org/Mistral-Small-24b-Sertraline-0304/63503943-1c1e-4dac-9c41-4933fbb44b70.json
@@ -0,0 +1,132 @@
+{
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+  "evaluation_id": "hfopenllm_v2/allura-org_Mistral-Small-24b-Sertraline-0304/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Mistral-Small-24b-Sertraline-0304",
+    "id": "allura-org/Mistral-Small-24b-Sertraline-0304",
+    "developer": "allura-org",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 23.572
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+  "evaluation_results": [
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+        "source_type": "hf_dataset",
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+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.68
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+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6525
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+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4395
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+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5106
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/allura-org/Mistral-Small-Sisyphus-24b-2503/80c5d343-41e6-45d7-8921-62586a3cd270.json b/data/hfopenllm_v2/allura-org/Mistral-Small-Sisyphus-24b-2503/80c5d343-41e6-45d7-8921-62586a3cd270.json
new file mode 100644
index 000000000..7a4d2fa7f
--- /dev/null
+++ b/data/hfopenllm_v2/allura-org/Mistral-Small-Sisyphus-24b-2503/80c5d343-41e6-45d7-8921-62586a3cd270.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/allura-org_Mistral-Small-Sisyphus-24b-2503/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Mistral-Small-Sisyphus-24b-2503",
+    "id": "allura-org/Mistral-Small-Sisyphus-24b-2503",
+    "developer": "allura-org",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 23.572
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+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6848
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+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.627
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3977
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/allura-org/MoE-Girl-1BA-7BT/2c27d7f6-60fd-49f3-8666-784f2a16031b.json b/data/hfopenllm_v2/allura-org/MoE-Girl-1BA-7BT/2c27d7f6-60fd-49f3-8666-784f2a16031b.json
new file mode 100644
index 000000000..93ee2f96c
--- /dev/null
+++ b/data/hfopenllm_v2/allura-org/MoE-Girl-1BA-7BT/2c27d7f6-60fd-49f3-8666-784f2a16031b.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/allura-org_MoE-Girl-1BA-7BT/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "MoE-Girl-1BA-7BT",
+    "id": "allura-org/MoE-Girl-1BA-7BT",
+    "developer": "allura-org",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "OlmoeForCausalLM",
+      "params_billions": 6.919
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2705
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3139
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0151
+      }
+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2584
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3436
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1218
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/allura-org/MoE-Girl-1BA-7BT/5b3176a0-7ded-409a-bc54-70e0ecf9b325.json b/data/hfopenllm_v2/allura-org/MoE-Girl-1BA-7BT/5b3176a0-7ded-409a-bc54-70e0ecf9b325.json
deleted file mode 100644
index 042ea8501..000000000
--- a/data/hfopenllm_v2/allura-org/MoE-Girl-1BA-7BT/5b3176a0-7ded-409a-bc54-70e0ecf9b325.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/allura-org_MoE-Girl-1BA-7BT/1762652580.0080209",
-  "retrieved_timestamp": "1762652580.008022",
-  "source_data": [
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-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "allura-org/MoE-Girl-1BA-7BT",
-    "developer": "allura-org",
-    "inference_platform": "unknown",
-    "id": "allura-org/MoE-Girl-1BA-7BT",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "OlmoeForCausalLM",
-      "params_billions": 6.919
-    }
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-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-      }
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-    {
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-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-    },
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-        "score_type": "continuous",
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-        "score": 0.25838926174496646
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-    },
-    {
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-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/allura-org/TQ2.5-14B-Aletheia-v1/b46bef60-b37b-4510-a92a-fb4c0cabb357.json b/data/hfopenllm_v2/allura-org/TQ2.5-14B-Aletheia-v1/b46bef60-b37b-4510-a92a-fb4c0cabb357.json
deleted file mode 100644
index 8c54b6efe..000000000
--- a/data/hfopenllm_v2/allura-org/TQ2.5-14B-Aletheia-v1/b46bef60-b37b-4510-a92a-fb4c0cabb357.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/allura-org_TQ2.5-14B-Aletheia-v1/1762652580.008265",
-  "retrieved_timestamp": "1762652580.008276",
-  "source_data": [
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-  "source_metadata": {
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "allura-org/TQ2.5-14B-Aletheia-v1",
-    "developer": "allura-org",
-    "inference_platform": "unknown",
-    "id": "allura-org/TQ2.5-14B-Aletheia-v1",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 14.77
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-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
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-        "lower_is_better": false,
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-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.44515625
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/allura-org/TQ2.5-14B-Aletheia-v1/cbcc1e64-8455-4382-8999-654d1757bbd6.json b/data/hfopenllm_v2/allura-org/TQ2.5-14B-Aletheia-v1/cbcc1e64-8455-4382-8999-654d1757bbd6.json
new file mode 100644
index 000000000..200aa0dee
--- /dev/null
+++ b/data/hfopenllm_v2/allura-org/TQ2.5-14B-Aletheia-v1/cbcc1e64-8455-4382-8999-654d1757bbd6.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/allura-org_TQ2.5-14B-Aletheia-v1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "TQ2.5-14B-Aletheia-v1",
+    "id": "allura-org/TQ2.5-14B-Aletheia-v1",
+    "developer": "allura-org",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.77
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.753
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+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6585
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3399
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3624
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4452
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5241
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/allura-org/TQ2.5-14B-Neon-v1/1bea4f6b-7a41-4907-baca-430c7ea179e9.json b/data/hfopenllm_v2/allura-org/TQ2.5-14B-Neon-v1/1bea4f6b-7a41-4907-baca-430c7ea179e9.json
new file mode 100644
index 000000000..42bdffdcf
--- /dev/null
+++ b/data/hfopenllm_v2/allura-org/TQ2.5-14B-Neon-v1/1bea4f6b-7a41-4907-baca-430c7ea179e9.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/allura-org_TQ2.5-14B-Neon-v1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "TQ2.5-14B-Neon-v1",
+    "id": "allura-org/TQ2.5-14B-Neon-v1",
+    "developer": "allura-org",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.77
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6754
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6553
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+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3603
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3716
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.461
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5253
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/allura-org/TQ2.5-14B-Neon-v1/68bdab24-8324-4190-abd2-ad3ad5a7a853.json b/data/hfopenllm_v2/allura-org/TQ2.5-14B-Neon-v1/68bdab24-8324-4190-abd2-ad3ad5a7a853.json
deleted file mode 100644
index 300f7fa33..000000000
--- a/data/hfopenllm_v2/allura-org/TQ2.5-14B-Neon-v1/68bdab24-8324-4190-abd2-ad3ad5a7a853.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/allura-org_TQ2.5-14B-Neon-v1/1762652580.0085812",
-  "retrieved_timestamp": "1762652580.0085819",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "allura-org/TQ2.5-14B-Neon-v1",
-    "developer": "allura-org",
-    "inference_platform": "unknown",
-    "id": "allura-org/TQ2.5-14B-Neon-v1",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 14.77
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6754189993661264
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.655304131044165
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.36027190332326287
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3716442953020134
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.461
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5252659574468085
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/allura-org/Teleut-7b/298ce89b-966c-4f4e-9da5-3803a395188f.json b/data/hfopenllm_v2/allura-org/Teleut-7b/298ce89b-966c-4f4e-9da5-3803a395188f.json
new file mode 100644
index 000000000..9486047d3
--- /dev/null
+++ b/data/hfopenllm_v2/allura-org/Teleut-7b/298ce89b-966c-4f4e-9da5-3803a395188f.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/allura-org_Teleut-7b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Teleut-7b",
+    "id": "allura-org/Teleut-7b",
+    "developer": "allura-org",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6379
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5141
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2409
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3263
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.464
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4131
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/allura-org/Teleut-7b/85ceb275-787a-4dbc-981a-513fd16606ea.json b/data/hfopenllm_v2/allura-org/Teleut-7b/85ceb275-787a-4dbc-981a-513fd16606ea.json
deleted file mode 100644
index f2ec4ee02..000000000
--- a/data/hfopenllm_v2/allura-org/Teleut-7b/85ceb275-787a-4dbc-981a-513fd16606ea.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/allura-org_Teleut-7b/1762652580.008814",
-  "retrieved_timestamp": "1762652580.008814",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "allura-org/Teleut-7b",
-    "developer": "allura-org",
-    "inference_platform": "unknown",
-    "id": "allura-org/Teleut-7b",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.616
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6378752820294595
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5141277814496585
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.24093655589123866
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3263422818791946
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4640416666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4130651595744681
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/aloobun/Meta-Llama-3-7B-28Layers/ea27a4d6-8c32-4b36-873d-1046ae6240e5.json b/data/hfopenllm_v2/aloobun/Meta-Llama-3-7B-28Layers/ea27a4d6-8c32-4b36-873d-1046ae6240e5.json
new file mode 100644
index 000000000..1550e1cda
--- /dev/null
+++ b/data/hfopenllm_v2/aloobun/Meta-Llama-3-7B-28Layers/ea27a4d6-8c32-4b36-873d-1046ae6240e5.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/aloobun_Meta-Llama-3-7B-28Layers/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Meta-Llama-3-7B-28Layers",
+    "id": "aloobun/Meta-Llama-3-7B-28Layers",
+    "developer": "aloobun",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 7.158
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1964
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4437
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0279
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2945
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3589
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.316
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/aloobun/d-SmolLM2-360M/1ad7b4c4-8074-482e-9010-ce1552325e15.json b/data/hfopenllm_v2/aloobun/d-SmolLM2-360M/1ad7b4c4-8074-482e-9010-ce1552325e15.json
deleted file mode 100644
index e4119c074..000000000
--- a/data/hfopenllm_v2/aloobun/d-SmolLM2-360M/1ad7b4c4-8074-482e-9010-ce1552325e15.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/aloobun_d-SmolLM2-360M/1762652580.0092921",
-  "retrieved_timestamp": "1762652580.009293",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "aloobun/d-SmolLM2-360M",
-    "developer": "aloobun",
-    "inference_platform": "unknown",
-    "id": "aloobun/d-SmolLM2-360M",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 0.362
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.20970358648386284
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3195784405636826
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.01283987915407855
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2533557046979866
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3980625
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-      "score_details": {
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-    }
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-}
diff --git a/data/hfopenllm_v2/aloobun/d-SmolLM2-360M/73d5905d-7825-43ba-8051-7e1f5639b857.json b/data/hfopenllm_v2/aloobun/d-SmolLM2-360M/73d5905d-7825-43ba-8051-7e1f5639b857.json
new file mode 100644
index 000000000..9ae14979c
--- /dev/null
+++ b/data/hfopenllm_v2/aloobun/d-SmolLM2-360M/73d5905d-7825-43ba-8051-7e1f5639b857.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/aloobun_d-SmolLM2-360M/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "d-SmolLM2-360M",
+    "id": "aloobun/d-SmolLM2-360M",
+    "developer": "aloobun",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 0.362
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2097
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3196
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0128
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2534
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3981
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1169
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/alpindale/WizardLM-2-8x22B/956b8589-a048-43be-9cfd-05658d3c57ca.json b/data/hfopenllm_v2/alpindale/WizardLM-2-8x22B/956b8589-a048-43be-9cfd-05658d3c57ca.json
new file mode 100644
index 000000000..11db1c919
--- /dev/null
+++ b/data/hfopenllm_v2/alpindale/WizardLM-2-8x22B/956b8589-a048-43be-9cfd-05658d3c57ca.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/alpindale_WizardLM-2-8x22B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "WizardLM-2-8x22B",
+    "id": "alpindale/WizardLM-2-8x22B",
+    "developer": "alpindale",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MixtralForCausalLM",
+      "params_billions": 140.621
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5272
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6377
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.25
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3817
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4387
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4596
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/alpindale/WizardLM-2-8x22B/c2899c4e-5bc9-4b0b-8938-b9848b86fe37.json b/data/hfopenllm_v2/alpindale/WizardLM-2-8x22B/c2899c4e-5bc9-4b0b-8938-b9848b86fe37.json
deleted file mode 100644
index 99043c9c7..000000000
--- a/data/hfopenllm_v2/alpindale/WizardLM-2-8x22B/c2899c4e-5bc9-4b0b-8938-b9848b86fe37.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/alpindale_WizardLM-2-8x22B/1762652580.009551",
-  "retrieved_timestamp": "1762652580.0095518",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "alpindale/WizardLM-2-8x22B",
-    "developer": "alpindale",
-    "inference_platform": "unknown",
-    "id": "alpindale/WizardLM-2-8x22B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MixtralForCausalLM",
-      "params_billions": 140.621
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5272166739805937
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6377307938917097
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.25
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.38171140939597314
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4387083333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.45960771276595747
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/alpindale/magnum-72b-v1/186687f8-ed25-44c9-b634-36db1c734844.json b/data/hfopenllm_v2/alpindale/magnum-72b-v1/186687f8-ed25-44c9-b634-36db1c734844.json
deleted file mode 100644
index 862cd7fda..000000000
--- a/data/hfopenllm_v2/alpindale/magnum-72b-v1/186687f8-ed25-44c9-b634-36db1c734844.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/alpindale_magnum-72b-v1/1762652580.0098088",
-  "retrieved_timestamp": "1762652580.00981",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "alpindale/magnum-72b-v1",
-    "developer": "alpindale",
-    "inference_platform": "unknown",
-    "id": "alpindale/magnum-72b-v1",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 72.706
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7606484128778308
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6982215794373214
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.39803625377643503
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.39093959731543626
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4489375
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5467918882978723
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/alpindale/magnum-72b-v1/36f597b4-8f53-4b40-9c0e-c9284743e456.json b/data/hfopenllm_v2/alpindale/magnum-72b-v1/36f597b4-8f53-4b40-9c0e-c9284743e456.json
new file mode 100644
index 000000000..6b8bdd31e
--- /dev/null
+++ b/data/hfopenllm_v2/alpindale/magnum-72b-v1/36f597b4-8f53-4b40-9c0e-c9284743e456.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/alpindale_magnum-72b-v1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "magnum-72b-v1",
+    "id": "alpindale/magnum-72b-v1",
+    "developer": "alpindale",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 72.706
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7606
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6982
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.398
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3909
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4489
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5468
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/altomek/YiSM-34B-0rn/7b67e526-7588-4c62-9293-55e77851c4c7.json b/data/hfopenllm_v2/altomek/YiSM-34B-0rn/7b67e526-7588-4c62-9293-55e77851c4c7.json
new file mode 100644
index 000000000..f2755bff5
--- /dev/null
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new file mode 100644
index 000000000..6587a17ee
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\ No newline at end of file
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new file mode 100644
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\ No newline at end of file
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new file mode 100644
index 000000000..ac33d4f61
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\ No newline at end of file
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new file mode 100644
index 000000000..83e2b1b5b
--- /dev/null
+++ b/data/hfopenllm_v2/anakin87/gemma-2b-orpo/b105b62a-ce77-4387-b679-1adf2782b2f4.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/anakin87_gemma-2b-orpo/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "gemma-2b-orpo",
+    "id": "anakin87/gemma-2b-orpo",
+    "developer": "anakin87",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "GemmaForCausalLM",
+      "params_billions": 2.506
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3426
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2617
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1306
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/anthracite-org/magnum-v1-72b/6d98f0fa-25c9-409b-b82e-b3c128bf47b6.json b/data/hfopenllm_v2/anthracite-org/magnum-v1-72b/6d98f0fa-25c9-409b-b82e-b3c128bf47b6.json
deleted file mode 100644
index 2925e434c..000000000
--- a/data/hfopenllm_v2/anthracite-org/magnum-v1-72b/6d98f0fa-25c9-409b-b82e-b3c128bf47b6.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/anthracite-org_magnum-v1-72b/1762652580.0112262",
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-  "source_data": [
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-  "source_metadata": {
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "anthracite-org/magnum-v1-72b",
-    "developer": "anthracite-org",
-    "inference_platform": "unknown",
-    "id": "anthracite-org/magnum-v1-72b",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 72.706
-    }
-  },
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-      "evaluation_name": "MATH Level 5",
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-        "lower_is_better": false,
-        "score_type": "continuous",
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-        "lower_is_better": false,
-        "score_type": "continuous",
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-        "max_score": 1
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-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-}
diff --git a/data/hfopenllm_v2/anthracite-org/magnum-v1-72b/72180fd7-bf34-4758-b02f-7d11859700c7.json b/data/hfopenllm_v2/anthracite-org/magnum-v1-72b/72180fd7-bf34-4758-b02f-7d11859700c7.json
new file mode 100644
index 000000000..18b204986
--- /dev/null
+++ b/data/hfopenllm_v2/anthracite-org/magnum-v1-72b/72180fd7-bf34-4758-b02f-7d11859700c7.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/anthracite-org_magnum-v1-72b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "magnum-v1-72b",
+    "id": "anthracite-org/magnum-v1-72b",
+    "developer": "anthracite-org",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 72.706
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7606
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6982
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.398
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3909
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4489
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5486
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/anthracite-org/magnum-v2-12b/72821a7d-cc27-4557-82d4-7e30286ea126.json b/data/hfopenllm_v2/anthracite-org/magnum-v2-12b/72821a7d-cc27-4557-82d4-7e30286ea126.json
deleted file mode 100644
index df841f420..000000000
--- a/data/hfopenllm_v2/anthracite-org/magnum-v2-12b/72821a7d-cc27-4557-82d4-7e30286ea126.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/anthracite-org_magnum-v2-12b/1762652580.011473",
-  "retrieved_timestamp": "1762652580.011474",
-  "source_data": [
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-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "anthracite-org/magnum-v2-12b",
-    "developer": "anthracite-org",
-    "inference_platform": "unknown",
-    "id": "anthracite-org/magnum-v2-12b",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 12.248
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-      },
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
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-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-    },
-    {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2911073825503356
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41790625
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.31673869680851063
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/anthracite-org/magnum-v2-12b/ac5aaa9c-79ab-4082-b8c5-084fba3e122a.json b/data/hfopenllm_v2/anthracite-org/magnum-v2-12b/ac5aaa9c-79ab-4082-b8c5-084fba3e122a.json
new file mode 100644
index 000000000..26fb22a26
--- /dev/null
+++ b/data/hfopenllm_v2/anthracite-org/magnum-v2-12b/ac5aaa9c-79ab-4082-b8c5-084fba3e122a.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/anthracite-org_magnum-v2-12b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "magnum-v2-12b",
+    "id": "anthracite-org/magnum-v2-12b",
+    "developer": "anthracite-org",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 12.248
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3762
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5021
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0544
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2911
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4179
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3167
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/anthracite-org/magnum-v2-72b/2d266d7f-8edd-40fd-adfc-597a7742167b.json b/data/hfopenllm_v2/anthracite-org/magnum-v2-72b/2d266d7f-8edd-40fd-adfc-597a7742167b.json
new file mode 100644
index 000000000..ea532bb60
--- /dev/null
+++ b/data/hfopenllm_v2/anthracite-org/magnum-v2-72b/2d266d7f-8edd-40fd-adfc-597a7742167b.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/anthracite-org_magnum-v2-72b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "magnum-v2-72b",
+    "id": "anthracite-org/magnum-v2-72b",
+    "developer": "anthracite-org",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 72.706
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.756
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7005
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3542
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3859
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4372
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5456
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/anthracite-org/magnum-v2-72b/31d80ab1-348f-4b5a-963e-f027adf32101.json b/data/hfopenllm_v2/anthracite-org/magnum-v2-72b/31d80ab1-348f-4b5a-963e-f027adf32101.json
deleted file mode 100644
index c3d22857c..000000000
--- a/data/hfopenllm_v2/anthracite-org/magnum-v2-72b/31d80ab1-348f-4b5a-963e-f027adf32101.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/anthracite-org_magnum-v2-72b/1762652580.01168",
-  "retrieved_timestamp": "1762652580.01168",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "anthracite-org/magnum-v2-72b",
-    "developer": "anthracite-org",
-    "inference_platform": "unknown",
-    "id": "anthracite-org/magnum-v2-72b",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 72.706
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7560273407891063
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7005076514129516
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3542296072507553
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3859060402684564
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4371875
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5456283244680851
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/anthracite-org/magnum-v2.5-12b-kto/484ccbf2-87e2-423f-9de4-a4bd54291b54.json b/data/hfopenllm_v2/anthracite-org/magnum-v2.5-12b-kto/484ccbf2-87e2-423f-9de4-a4bd54291b54.json
new file mode 100644
index 000000000..d05197a33
--- /dev/null
+++ b/data/hfopenllm_v2/anthracite-org/magnum-v2.5-12b-kto/484ccbf2-87e2-423f-9de4-a4bd54291b54.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/anthracite-org_magnum-v2.5-12b-kto/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "magnum-v2.5-12b-kto",
+    "id": "anthracite-org/magnum-v2.5-12b-kto",
+    "developer": "anthracite-org",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 12.248
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3866
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5077
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0521
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2936
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4086
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3215
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/anthracite-org/magnum-v2.5-12b-kto/74e67572-01d9-4890-9c5a-27b5559cf752.json b/data/hfopenllm_v2/anthracite-org/magnum-v2.5-12b-kto/74e67572-01d9-4890-9c5a-27b5559cf752.json
deleted file mode 100644
index 0f281d8ad..000000000
--- a/data/hfopenllm_v2/anthracite-org/magnum-v2.5-12b-kto/74e67572-01d9-4890-9c5a-27b5559cf752.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/anthracite-org_magnum-v2.5-12b-kto/1762652580.011887",
-  "retrieved_timestamp": "1762652580.011888",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "anthracite-org/magnum-v2.5-12b-kto",
-    "developer": "anthracite-org",
-    "inference_platform": "unknown",
-    "id": "anthracite-org/magnum-v2.5-12b-kto",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 12.248
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3865576669902525
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5076961186254344
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.05211480362537765
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2936241610738255
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.40863541666666664
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3214760638297872
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/anthracite-org/magnum-v3-27b-kto/4de79504-f9e8-4235-9aad-d38f0799e081.json b/data/hfopenllm_v2/anthracite-org/magnum-v3-27b-kto/4de79504-f9e8-4235-9aad-d38f0799e081.json
new file mode 100644
index 000000000..81b95e27b
--- /dev/null
+++ b/data/hfopenllm_v2/anthracite-org/magnum-v3-27b-kto/4de79504-f9e8-4235-9aad-d38f0799e081.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/anthracite-org_magnum-v3-27b-kto/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "magnum-v3-27b-kto",
+    "id": "anthracite-org/magnum-v3-27b-kto",
+    "developer": "anthracite-org",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Gemma2ForCausalLM",
+      "params_billions": 27.227
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5675
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.586
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1813
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3557
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3855
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4238
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/anthracite-org/magnum-v3-27b-kto/9a74a1f1-0322-4f96-8e52-76bbde948fa9.json b/data/hfopenllm_v2/anthracite-org/magnum-v3-27b-kto/9a74a1f1-0322-4f96-8e52-76bbde948fa9.json
deleted file mode 100644
index fa5d9c2f0..000000000
--- a/data/hfopenllm_v2/anthracite-org/magnum-v3-27b-kto/9a74a1f1-0322-4f96-8e52-76bbde948fa9.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/anthracite-org_magnum-v3-27b-kto/1762652580.012144",
-  "retrieved_timestamp": "1762652580.0121448",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "anthracite-org/magnum-v3-27b-kto",
-    "developer": "anthracite-org",
-    "inference_platform": "unknown",
-    "id": "anthracite-org/magnum-v3-27b-kto",
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diff --git a/data/hfopenllm_v2/anthracite-org/magnum-v3-34b/8ace78d5-5390-49ec-935d-2c7faf7569ca.json b/data/hfopenllm_v2/anthracite-org/magnum-v3-34b/8ace78d5-5390-49ec-935d-2c7faf7569ca.json
deleted file mode 100644
index cd9158563..000000000
--- a/data/hfopenllm_v2/anthracite-org/magnum-v3-34b/8ace78d5-5390-49ec-935d-2c7faf7569ca.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/anthracite-org_magnum-v3-34b/1762652580.012352",
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-  "source_data": [
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
-    "name": "anthracite-org/magnum-v3-34b",
-    "developer": "anthracite-org",
-    "inference_platform": "unknown",
-    "id": "anthracite-org/magnum-v3-34b",
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-        "max_score": 1
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-      "score_details": {
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-      "evaluation_name": "MUSR",
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-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-}
diff --git a/data/hfopenllm_v2/anthracite-org/magnum-v3-34b/b4bde9d8-f50c-448c-ada4-5bc05f302c04.json b/data/hfopenllm_v2/anthracite-org/magnum-v3-34b/b4bde9d8-f50c-448c-ada4-5bc05f302c04.json
new file mode 100644
index 000000000..84369bf89
--- /dev/null
+++ b/data/hfopenllm_v2/anthracite-org/magnum-v3-34b/b4bde9d8-f50c-448c-ada4-5bc05f302c04.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/anthracite-org_magnum-v3-34b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "magnum-v3-34b",
+    "id": "anthracite-org/magnum-v3-34b",
+    "developer": "anthracite-org",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 34.389
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5115
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6088
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1949
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+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3607
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3872
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4752
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/anthracite-org/magnum-v3-9b-chatml/42df1809-0021-4968-a18b-86cefc0125d7.json b/data/hfopenllm_v2/anthracite-org/magnum-v3-9b-chatml/42df1809-0021-4968-a18b-86cefc0125d7.json
deleted file mode 100644
index d619c5af5..000000000
--- a/data/hfopenllm_v2/anthracite-org/magnum-v3-9b-chatml/42df1809-0021-4968-a18b-86cefc0125d7.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
-    "name": "anthracite-org/magnum-v3-9b-chatml",
-    "developer": "anthracite-org",
-    "inference_platform": "unknown",
-    "id": "anthracite-org/magnum-v3-9b-chatml",
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-      "architecture": "Gemma2ForCausalLM",
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-  "evaluation_results": [
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-        "score_type": "continuous",
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-      "score_details": {
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-    },
-    {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4432291666666666
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
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-        "score_type": "continuous",
-        "min_score": 0,
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-      "score_details": {
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-}
diff --git a/data/hfopenllm_v2/anthracite-org/magnum-v3-9b-chatml/5da3240b-b5e3-4333-ba61-925343b56043.json b/data/hfopenllm_v2/anthracite-org/magnum-v3-9b-chatml/5da3240b-b5e3-4333-ba61-925343b56043.json
new file mode 100644
index 000000000..48d20512c
--- /dev/null
+++ b/data/hfopenllm_v2/anthracite-org/magnum-v3-9b-chatml/5da3240b-b5e3-4333-ba61-925343b56043.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/anthracite-org_magnum-v3-9b-chatml/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "magnum-v3-9b-chatml",
+    "id": "anthracite-org/magnum-v3-9b-chatml",
+    "developer": "anthracite-org",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Gemma2ForCausalLM",
+      "params_billions": 9.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1275
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5428
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0695
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+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3456
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4432
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4242
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/anthracite-org/magnum-v3-9b-customgemma2/d6727b7d-cdf3-48d5-8e30-484e86ad60b6.json b/data/hfopenllm_v2/anthracite-org/magnum-v3-9b-customgemma2/d6727b7d-cdf3-48d5-8e30-484e86ad60b6.json
new file mode 100644
index 000000000..08eeb4ea5
--- /dev/null
+++ b/data/hfopenllm_v2/anthracite-org/magnum-v3-9b-customgemma2/d6727b7d-cdf3-48d5-8e30-484e86ad60b6.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/anthracite-org_magnum-v3-9b-customgemma2/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "magnum-v3-9b-customgemma2",
+    "id": "anthracite-org/magnum-v3-9b-customgemma2",
+    "developer": "anthracite-org",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Gemma2ForCausalLM",
+      "params_billions": 9.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1273
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.534
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+    },
+    {
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+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+        "score": 0.4205
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/anthracite-org/magnum-v4-12b/15b86bbf-8d3b-474b-98f0-abb3972a7271.json b/data/hfopenllm_v2/anthracite-org/magnum-v4-12b/15b86bbf-8d3b-474b-98f0-abb3972a7271.json
new file mode 100644
index 000000000..98e18e6b7
--- /dev/null
+++ b/data/hfopenllm_v2/anthracite-org/magnum-v4-12b/15b86bbf-8d3b-474b-98f0-abb3972a7271.json
@@ -0,0 +1,132 @@
+{
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+  "evaluation_id": "hfopenllm_v2/anthracite-org_magnum-v4-12b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "magnum-v4-12b",
+    "id": "anthracite-org/magnum-v4-12b",
+    "developer": "anthracite-org",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 12.248
+    }
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+      "evaluation_name": "IFEval",
+      "source_data": {
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+        "source_type": "hf_dataset",
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+      },
+      "metric_config": {
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+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+        "hf_repo": "Idavidrein/gpqa"
+      },
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+      },
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
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+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+    },
+    {
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+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "max_score": 1.0
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+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/anthracite-org/magnum-v4-12b/c7ba8947-fd38-4ba1-9169-6c9164123273.json b/data/hfopenllm_v2/anthracite-org/magnum-v4-12b/c7ba8947-fd38-4ba1-9169-6c9164123273.json
deleted file mode 100644
index c17e4245e..000000000
--- a/data/hfopenllm_v2/anthracite-org/magnum-v4-12b/c7ba8947-fd38-4ba1-9169-6c9164123273.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/anthracite-org_magnum-v4-12b/1762652580.013016",
-  "retrieved_timestamp": "1762652580.013016",
-  "source_data": [
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-    "source_type": "documentation"
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-    "developer": "anthracite-org",
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-    "id": "anthracite-org/magnum-v4-12b",
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-        "max_score": 1
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-      "metric_config": {
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-        "lower_is_better": false,
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-        "min_score": 0,
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diff --git a/data/hfopenllm_v2/anthracite-org/magnum-v4-22b/5e3f808c-964d-492d-a003-37594dd36f89.json b/data/hfopenllm_v2/anthracite-org/magnum-v4-22b/5e3f808c-964d-492d-a003-37594dd36f89.json
deleted file mode 100644
index 209deb7a6..000000000
--- a/data/hfopenllm_v2/anthracite-org/magnum-v4-22b/5e3f808c-964d-492d-a003-37594dd36f89.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "source_data": [
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-  "source_metadata": {
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
-    "name": "anthracite-org/magnum-v4-22b",
-    "developer": "anthracite-org",
-    "inference_platform": "unknown",
-    "id": "anthracite-org/magnum-v4-22b",
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-      "architecture": "MistralForCausalLM",
-      "params_billions": 22.247
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-      },
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.44078124999999996
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/anthracite-org/magnum-v4-22b/c0b339f6-4a46-46eb-b2d0-945176afe676.json b/data/hfopenllm_v2/anthracite-org/magnum-v4-22b/c0b339f6-4a46-46eb-b2d0-945176afe676.json
new file mode 100644
index 000000000..8cce65095
--- /dev/null
+++ b/data/hfopenllm_v2/anthracite-org/magnum-v4-22b/c0b339f6-4a46-46eb-b2d0-945176afe676.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/anthracite-org_magnum-v4-22b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "magnum-v4-22b",
+    "id": "anthracite-org/magnum-v4-22b",
+    "developer": "anthracite-org",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 22.247
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5629
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+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5486
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2002
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.328
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4408
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.383
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/anthracite-org/magnum-v4-27b/113ce0c6-c292-4924-adca-afdbcdd4c381.json b/data/hfopenllm_v2/anthracite-org/magnum-v4-27b/113ce0c6-c292-4924-adca-afdbcdd4c381.json
deleted file mode 100644
index fd1461939..000000000
--- a/data/hfopenllm_v2/anthracite-org/magnum-v4-27b/113ce0c6-c292-4924-adca-afdbcdd4c381.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
-    "name": "anthracite-org/magnum-v4-27b",
-    "developer": "anthracite-org",
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-    "id": "anthracite-org/magnum-v4-27b",
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-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-}
diff --git a/data/hfopenllm_v2/anthracite-org/magnum-v4-27b/79367289-6245-4bf0-99e9-42bc3ff7649c.json b/data/hfopenllm_v2/anthracite-org/magnum-v4-27b/79367289-6245-4bf0-99e9-42bc3ff7649c.json
new file mode 100644
index 000000000..fd3218df0
--- /dev/null
+++ b/data/hfopenllm_v2/anthracite-org/magnum-v4-27b/79367289-6245-4bf0-99e9-42bc3ff7649c.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/anthracite-org_magnum-v4-27b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "magnum-v4-27b",
+    "id": "anthracite-org/magnum-v4-27b",
+    "developer": "anthracite-org",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Gemma2ForCausalLM",
+      "params_billions": 27.227
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3454
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5867
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1798
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.37
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.438
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4376
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/anthracite-org/magnum-v4-9b/55401aa6-ad61-42d6-9163-5d105a9091bf.json b/data/hfopenllm_v2/anthracite-org/magnum-v4-9b/55401aa6-ad61-42d6-9163-5d105a9091bf.json
deleted file mode 100644
index b4927c7d2..000000000
--- a/data/hfopenllm_v2/anthracite-org/magnum-v4-9b/55401aa6-ad61-42d6-9163-5d105a9091bf.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/anthracite-org_magnum-v4-9b/1762652580.013639",
-  "retrieved_timestamp": "1762652580.013639",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "anthracite-org/magnum-v4-9b",
-    "developer": "anthracite-org",
-    "inference_platform": "unknown",
-    "id": "anthracite-org/magnum-v4-9b",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Gemma2ForCausalLM",
-      "params_billions": 9.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3502628581053826
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
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-        "lower_is_better": false,
-        "score_type": "continuous",
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-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.34731543624161076
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.45157291666666666
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3952792553191489
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/anthracite-org/magnum-v4-9b/c3ec5505-1086-446a-9739-523810e93d13.json b/data/hfopenllm_v2/anthracite-org/magnum-v4-9b/c3ec5505-1086-446a-9739-523810e93d13.json
new file mode 100644
index 000000000..d1166e7fe
--- /dev/null
+++ b/data/hfopenllm_v2/anthracite-org/magnum-v4-9b/c3ec5505-1086-446a-9739-523810e93d13.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/anthracite-org_magnum-v4-9b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "magnum-v4-9b",
+    "id": "anthracite-org/magnum-v4-9b",
+    "developer": "anthracite-org",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Gemma2ForCausalLM",
+      "params_billions": 9.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3503
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5336
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1307
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3473
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4516
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3953
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/anthropic/xxx777xxxASD/L3.1-ClaudeMaid-4x8B/ae6d070b-71de-40c3-8f69-944ce2e33abb.json b/data/hfopenllm_v2/anthropic/xxx777xxxASD/L3.1-ClaudeMaid-4x8B/ae6d070b-71de-40c3-8f69-944ce2e33abb.json
deleted file mode 100644
index d8aa36a7a..000000000
--- a/data/hfopenllm_v2/anthropic/xxx777xxxASD/L3.1-ClaudeMaid-4x8B/ae6d070b-71de-40c3-8f69-944ce2e33abb.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/xxx777xxxASD_L3.1-ClaudeMaid-4x8B/1762652580.602767",
-  "retrieved_timestamp": "1762652580.602768",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "xxx777xxxASD/L3.1-ClaudeMaid-4x8B",
-    "developer": "anthropic",
-    "inference_platform": "unknown",
-    "id": "xxx777xxxASD/L3.1-ClaudeMaid-4x8B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MixtralForCausalLM",
-      "params_billions": 24.942
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
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-      "metric_config": {
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5070848048063867
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.14123867069486404
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2911073825503356
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42893749999999997
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.35804521276595747
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/apple/DCLM-7B/3891ad0a-0acf-4d3e-a9e8-533633d9557a.json b/data/hfopenllm_v2/apple/DCLM-7B/3891ad0a-0acf-4d3e-a9e8-533633d9557a.json
deleted file mode 100644
index 28fd15f2b..000000000
--- a/data/hfopenllm_v2/apple/DCLM-7B/3891ad0a-0acf-4d3e-a9e8-533633d9557a.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/apple_DCLM-7B/1762652580.0138528",
-  "retrieved_timestamp": "1762652580.013854",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "apple/DCLM-7B",
-    "developer": "apple",
-    "inference_platform": "unknown",
-    "id": "apple/DCLM-7B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "OpenLMModel",
-      "params_billions": 7.0
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-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.21727239280664196
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    {
-      "evaluation_name": "MATH Level 5",
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-        "score_type": "continuous",
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-      "score_details": {
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
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-        "score_type": "continuous",
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-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-      "score_details": {
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diff --git a/data/hfopenllm_v2/apple/DCLM-7B/c6c5e462-d373-4536-afc3-b740fb7e300f.json b/data/hfopenllm_v2/apple/DCLM-7B/c6c5e462-d373-4536-afc3-b740fb7e300f.json
new file mode 100644
index 000000000..92760e54b
--- /dev/null
+++ b/data/hfopenllm_v2/apple/DCLM-7B/c6c5e462-d373-4536-afc3-b740fb7e300f.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/apple_DCLM-7B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "DCLM-7B",
+    "id": "apple/DCLM-7B",
+    "developer": "apple",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "OpenLMModel",
+      "params_billions": 7.0
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2173
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4232
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.037
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3154
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3921
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3111
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/appvoid/arco-2-instruct/95d1d5d9-b613-46b4-b0de-540641d8d81a.json b/data/hfopenllm_v2/appvoid/arco-2-instruct/95d1d5d9-b613-46b4-b0de-540641d8d81a.json
deleted file mode 100644
index d8ae34162..000000000
--- a/data/hfopenllm_v2/appvoid/arco-2-instruct/95d1d5d9-b613-46b4-b0de-540641d8d81a.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/appvoid_arco-2-instruct/1762652580.014716",
-  "retrieved_timestamp": "1762652580.0147169",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "appvoid/arco-2-instruct",
-    "developer": "appvoid",
-    "inference_platform": "unknown",
-    "id": "appvoid/arco-2-instruct",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 0.514
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2164479137577184
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.31330470624451107
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.01283987915407855
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.23825503355704697
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.34959375
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11128656914893617
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/appvoid/arco-2-instruct/b7537abe-8177-4206-999f-5bb7e95c72c8.json b/data/hfopenllm_v2/appvoid/arco-2-instruct/b7537abe-8177-4206-999f-5bb7e95c72c8.json
new file mode 100644
index 000000000..c53efb7dc
--- /dev/null
+++ b/data/hfopenllm_v2/appvoid/arco-2-instruct/b7537abe-8177-4206-999f-5bb7e95c72c8.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/appvoid_arco-2-instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "arco-2-instruct",
+    "id": "appvoid/arco-2-instruct",
+    "developer": "appvoid",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 0.514
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2164
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3133
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0128
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2383
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3496
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1113
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/appvoid/arco-2/a037593c-0f98-4b23-a139-12cfc435de3c.json b/data/hfopenllm_v2/appvoid/arco-2/a037593c-0f98-4b23-a139-12cfc435de3c.json
deleted file mode 100644
index 9417c66e8..000000000
--- a/data/hfopenllm_v2/appvoid/arco-2/a037593c-0f98-4b23-a139-12cfc435de3c.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/appvoid_arco-2/1762652580.014345",
-  "retrieved_timestamp": "1762652580.014347",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "appvoid/arco-2",
-    "developer": "appvoid",
-    "inference_platform": "unknown",
-    "id": "appvoid/arco-2",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 0.514
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.19913717824261848
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.31456676274830814
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.013595166163141994
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.23909395973154363
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.35359375
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1116190159574468
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/appvoid/arco-2/eb2f6159-e37e-46db-9419-6a66cb7e539e.json b/data/hfopenllm_v2/appvoid/arco-2/eb2f6159-e37e-46db-9419-6a66cb7e539e.json
new file mode 100644
index 000000000..a19063325
--- /dev/null
+++ b/data/hfopenllm_v2/appvoid/arco-2/eb2f6159-e37e-46db-9419-6a66cb7e539e.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/appvoid_arco-2/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "arco-2",
+    "id": "appvoid/arco-2",
+    "developer": "appvoid",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 0.514
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1991
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3146
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0136
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2391
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3536
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1116
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/arcee-ai/Arcee-Blitz/01e8e033-1aa9-42e2-85d8-b7974d0c9e23.json b/data/hfopenllm_v2/arcee-ai/Arcee-Blitz/01e8e033-1aa9-42e2-85d8-b7974d0c9e23.json
deleted file mode 100644
index 7b8f16246..000000000
--- a/data/hfopenllm_v2/arcee-ai/Arcee-Blitz/01e8e033-1aa9-42e2-85d8-b7974d0c9e23.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/arcee-ai_Arcee-Blitz/1762652580.0149639",
-  "retrieved_timestamp": "1762652580.014965",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "arcee-ai/Arcee-Blitz",
-    "developer": "arcee-ai",
-    "inference_platform": "unknown",
-    "id": "arcee-ai/Arcee-Blitz",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 23.572
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5543435861292482
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6606628431550884
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.34818731117824775
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.50471875
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6153590425531915
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/arcee-ai/Arcee-Blitz/0b2d0a06-2907-4258-be33-1591e18ac6a2.json b/data/hfopenllm_v2/arcee-ai/Arcee-Blitz/0b2d0a06-2907-4258-be33-1591e18ac6a2.json
new file mode 100644
index 000000000..8851d8d7b
--- /dev/null
+++ b/data/hfopenllm_v2/arcee-ai/Arcee-Blitz/0b2d0a06-2907-4258-be33-1591e18ac6a2.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/arcee-ai_Arcee-Blitz/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Arcee-Blitz",
+    "id": "arcee-ai/Arcee-Blitz",
+    "developer": "arcee-ai",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 23.572
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5543
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6607
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3482
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3851
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5047
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6154
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/arcee-ai/Arcee-Maestro-7B-Preview/0284d867-45c4-4fe4-883c-8e3ea169d66c.json b/data/hfopenllm_v2/arcee-ai/Arcee-Maestro-7B-Preview/0284d867-45c4-4fe4-883c-8e3ea169d66c.json
new file mode 100644
index 000000000..9080738a7
--- /dev/null
+++ b/data/hfopenllm_v2/arcee-ai/Arcee-Maestro-7B-Preview/0284d867-45c4-4fe4-883c-8e3ea169d66c.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/arcee-ai_Arcee-Maestro-7B-Preview/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Arcee-Maestro-7B-Preview",
+    "id": "arcee-ai/Arcee-Maestro-7B-Preview",
+    "developer": "arcee-ai",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.613
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.275
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4648
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4992
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3322
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3885
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3039
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/arcee-ai/Arcee-Maestro-7B-Preview/126f5eda-1529-450f-8557-dcd6a33b7bd4.json b/data/hfopenllm_v2/arcee-ai/Arcee-Maestro-7B-Preview/126f5eda-1529-450f-8557-dcd6a33b7bd4.json
deleted file mode 100644
index f2da56219..000000000
--- a/data/hfopenllm_v2/arcee-ai/Arcee-Maestro-7B-Preview/126f5eda-1529-450f-8557-dcd6a33b7bd4.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/arcee-ai_Arcee-Maestro-7B-Preview/1762652580.015253",
-  "retrieved_timestamp": "1762652580.015254",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "arcee-ai/Arcee-Maestro-7B-Preview",
-    "developer": "arcee-ai",
-    "inference_platform": "unknown",
-    "id": "arcee-ai/Arcee-Maestro-7B-Preview",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.613
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2750247122080524
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4648373015709704
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.49924471299093653
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.33221476510067116
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3885416666666666
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3039394946808511
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/arcee-ai/Arcee-Nova/1a2da513-104e-4074-b3b7-601ab11bf6d8.json b/data/hfopenllm_v2/arcee-ai/Arcee-Nova/1a2da513-104e-4074-b3b7-601ab11bf6d8.json
new file mode 100644
index 000000000..ec647a01e
--- /dev/null
+++ b/data/hfopenllm_v2/arcee-ai/Arcee-Nova/1a2da513-104e-4074-b3b7-601ab11bf6d8.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/arcee-ai_Arcee-Nova/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Arcee-Nova",
+    "id": "arcee-ai/Arcee-Nova",
+    "developer": "arcee-ai",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 72.706
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7907
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6942
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4381
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3851
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4562
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5452
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/arcee-ai/Arcee-Nova/9063608f-8d32-4e98-ad05-621f6239d0ba.json b/data/hfopenllm_v2/arcee-ai/Arcee-Nova/9063608f-8d32-4e98-ad05-621f6239d0ba.json
deleted file mode 100644
index c460373cf..000000000
--- a/data/hfopenllm_v2/arcee-ai/Arcee-Nova/9063608f-8d32-4e98-ad05-621f6239d0ba.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/arcee-ai_Arcee-Nova/1762652580.0154781",
-  "retrieved_timestamp": "1762652580.015479",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "arcee-ai/Arcee-Nova",
-    "developer": "arcee-ai",
-    "inference_platform": "unknown",
-    "id": "arcee-ai/Arcee-Nova",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 72.706
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7907485471881275
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.694196965855899
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4380664652567976
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3850671140939597
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.45616666666666666
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5452127659574468
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/arcee-ai/Arcee-Spark/189db16b-5e78-439f-9f79-6eec979c3a79.json b/data/hfopenllm_v2/arcee-ai/Arcee-Spark/189db16b-5e78-439f-9f79-6eec979c3a79.json
new file mode 100644
index 000000000..38ed0acf4
--- /dev/null
+++ b/data/hfopenllm_v2/arcee-ai/Arcee-Spark/189db16b-5e78-439f-9f79-6eec979c3a79.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/arcee-ai_Arcee-Spark/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Arcee-Spark",
+    "id": "arcee-ai/Arcee-Spark",
+    "developer": "arcee-ai",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5621
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5489
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2953
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.307
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4021
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3822
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/arcee-ai/Arcee-Spark/1dde2278-39aa-43cf-8d94-5d4a0bb514ca.json b/data/hfopenllm_v2/arcee-ai/Arcee-Spark/1dde2278-39aa-43cf-8d94-5d4a0bb514ca.json
deleted file mode 100644
index ab7628d38..000000000
--- a/data/hfopenllm_v2/arcee-ai/Arcee-Spark/1dde2278-39aa-43cf-8d94-5d4a0bb514ca.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/arcee-ai_Arcee-Spark/1762652580.0159192",
-  "retrieved_timestamp": "1762652580.0159202",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "arcee-ai/Arcee-Spark",
-    "developer": "arcee-ai",
-    "inference_platform": "unknown",
-    "id": "arcee-ai/Arcee-Spark",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.616
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.571829412625168
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5480864114714127
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11404833836858004
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3062080536912752
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4007604166666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.38131648936170215
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/arcee-ai/Arcee-Spark/84a51879-cd67-449b-ace0-f87cccd6ea8c.json b/data/hfopenllm_v2/arcee-ai/Arcee-Spark/84a51879-cd67-449b-ace0-f87cccd6ea8c.json
deleted file mode 100644
index a9e328f6a..000000000
--- a/data/hfopenllm_v2/arcee-ai/Arcee-Spark/84a51879-cd67-449b-ace0-f87cccd6ea8c.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/arcee-ai_Arcee-Spark/1762652580.015698",
-  "retrieved_timestamp": "1762652580.015699",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "arcee-ai/Arcee-Spark",
-    "developer": "arcee-ai",
-    "inference_platform": "unknown",
-    "id": "arcee-ai/Arcee-Spark",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.616
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5620874834328471
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5489474198567446
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.29531722054380666
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3070469798657718
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.40209374999999997
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3822307180851064
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/arcee-ai/Arcee-Spark/d751f1c5-5505-4c12-8d51-091538b49949.json b/data/hfopenllm_v2/arcee-ai/Arcee-Spark/d751f1c5-5505-4c12-8d51-091538b49949.json
new file mode 100644
index 000000000..f4c610574
--- /dev/null
+++ b/data/hfopenllm_v2/arcee-ai/Arcee-Spark/d751f1c5-5505-4c12-8d51-091538b49949.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/arcee-ai_Arcee-Spark/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Arcee-Spark",
+    "id": "arcee-ai/Arcee-Spark",
+    "developer": "arcee-ai",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5718
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5481
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.114
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3062
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4008
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3813
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/arcee-ai/Llama-3.1-SuperNova-Lite/b6f9144f-57a0-4c18-9e52-ffccf2d8ca9c.json b/data/hfopenllm_v2/arcee-ai/Llama-3.1-SuperNova-Lite/b6f9144f-57a0-4c18-9e52-ffccf2d8ca9c.json
new file mode 100644
index 000000000..894a616bf
--- /dev/null
+++ b/data/hfopenllm_v2/arcee-ai/Llama-3.1-SuperNova-Lite/b6f9144f-57a0-4c18-9e52-ffccf2d8ca9c.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/arcee-ai_Llama-3.1-SuperNova-Lite/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-3.1-SuperNova-Lite",
+    "id": "arcee-ai/Llama-3.1-SuperNova-Lite",
+    "developer": "arcee-ai",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.8017
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5152
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1828
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3062
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4163
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3877
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/arcee-ai/Llama-Spark/67dc7fb2-1455-4f60-9dcb-59a8197741d7.json b/data/hfopenllm_v2/arcee-ai/Llama-Spark/67dc7fb2-1455-4f60-9dcb-59a8197741d7.json
new file mode 100644
index 000000000..ffa60c546
--- /dev/null
+++ b/data/hfopenllm_v2/arcee-ai/Llama-Spark/67dc7fb2-1455-4f60-9dcb-59a8197741d7.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/arcee-ai_Llama-Spark/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-Spark",
+    "id": "arcee-ai/Llama-Spark",
+    "developer": "arcee-ai",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7911
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5054
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.139
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2995
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3593
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3721
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/arcee-ai/SuperNova-Medius/7e0e8ab9-a90b-4f0e-8e0a-eeceac12a4a1.json b/data/hfopenllm_v2/arcee-ai/SuperNova-Medius/7e0e8ab9-a90b-4f0e-8e0a-eeceac12a4a1.json
deleted file mode 100644
index 277bb81e0..000000000
--- a/data/hfopenllm_v2/arcee-ai/SuperNova-Medius/7e0e8ab9-a90b-4f0e-8e0a-eeceac12a4a1.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/arcee-ai_SuperNova-Medius/1762652580.016611",
-  "retrieved_timestamp": "1762652580.016612",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "arcee-ai/SuperNova-Medius",
-    "developer": "arcee-ai",
-    "inference_platform": "unknown",
-    "id": "arcee-ai/SuperNova-Medius",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 14.77
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7183584001560305
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6377284463115707
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4690332326283988
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.33305369127516776
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4232708333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5034906914893617
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/arcee-ai/SuperNova-Medius/7f4ab590-29fa-473a-b617-00135dd1d6ee.json b/data/hfopenllm_v2/arcee-ai/SuperNova-Medius/7f4ab590-29fa-473a-b617-00135dd1d6ee.json
new file mode 100644
index 000000000..4067be61a
--- /dev/null
+++ b/data/hfopenllm_v2/arcee-ai/SuperNova-Medius/7f4ab590-29fa-473a-b617-00135dd1d6ee.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/arcee-ai_SuperNova-Medius/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "SuperNova-Medius",
+    "id": "arcee-ai/SuperNova-Medius",
+    "developer": "arcee-ai",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.77
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7184
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6377
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.469
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3331
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4233
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5035
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/arcee-ai/Virtuoso-Lite/62afba84-9929-4882-843e-3f7db7b030a3.json b/data/hfopenllm_v2/arcee-ai/Virtuoso-Lite/62afba84-9929-4882-843e-3f7db7b030a3.json
deleted file mode 100644
index c1b9feb05..000000000
--- a/data/hfopenllm_v2/arcee-ai/Virtuoso-Lite/62afba84-9929-4882-843e-3f7db7b030a3.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/arcee-ai_Virtuoso-Lite/1762652580.0168262",
-  "retrieved_timestamp": "1762652580.0168269",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "arcee-ai/Virtuoso-Lite",
-    "developer": "arcee-ai",
-    "inference_platform": "unknown",
-    "id": "arcee-ai/Virtuoso-Lite",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 10.306
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.8099575792231279
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6098520975127147
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.25302114803625375
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.34395973154362414
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4595416666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4440658244680851
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/arcee-ai/Virtuoso-Lite/d67db62e-e21d-43c8-8b4c-bfa353e47636.json b/data/hfopenllm_v2/arcee-ai/Virtuoso-Lite/d67db62e-e21d-43c8-8b4c-bfa353e47636.json
new file mode 100644
index 000000000..e33d0d23e
--- /dev/null
+++ b/data/hfopenllm_v2/arcee-ai/Virtuoso-Lite/d67db62e-e21d-43c8-8b4c-bfa353e47636.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/arcee-ai_Virtuoso-Lite/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Virtuoso-Lite",
+    "id": "arcee-ai/Virtuoso-Lite",
+    "developer": "arcee-ai",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 10.306
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.81
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6099
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.253
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.344
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4595
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4441
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/arcee-ai/Virtuoso-Small-v2/325cf0a5-6a72-466a-8e1e-531f03db6083.json b/data/hfopenllm_v2/arcee-ai/Virtuoso-Small-v2/325cf0a5-6a72-466a-8e1e-531f03db6083.json
deleted file mode 100644
index 7e34da7fa..000000000
--- a/data/hfopenllm_v2/arcee-ai/Virtuoso-Small-v2/325cf0a5-6a72-466a-8e1e-531f03db6083.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/arcee-ai_Virtuoso-Small-v2/1762652580.0172758",
-  "retrieved_timestamp": "1762652580.017277",
-  "source_data": [
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-        "min_score": 0,
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-    },
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-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      }
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-}
diff --git a/data/hfopenllm_v2/arcee-ai/Virtuoso-Small-v2/85abff46-8ae5-4a75-9522-721793224363.json b/data/hfopenllm_v2/arcee-ai/Virtuoso-Small-v2/85abff46-8ae5-4a75-9522-721793224363.json
new file mode 100644
index 000000000..5a503f2da
--- /dev/null
+++ b/data/hfopenllm_v2/arcee-ai/Virtuoso-Small-v2/85abff46-8ae5-4a75-9522-721793224363.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/arcee-ai_Virtuoso-Small-v2/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Virtuoso-Small-v2",
+    "id": "arcee-ai/Virtuoso-Small-v2",
+    "developer": "arcee-ai",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.766
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.8273
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6554
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.466
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3532
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4313
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5188
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/arcee-ai/Virtuoso-Small/1736bbd8-4457-4d55-8c0b-0ae6e001ee62.json b/data/hfopenllm_v2/arcee-ai/Virtuoso-Small/1736bbd8-4457-4d55-8c0b-0ae6e001ee62.json
new file mode 100644
index 000000000..4e3877887
--- /dev/null
+++ b/data/hfopenllm_v2/arcee-ai/Virtuoso-Small/1736bbd8-4457-4d55-8c0b-0ae6e001ee62.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/arcee-ai_Virtuoso-Small/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Virtuoso-Small",
+    "id": "arcee-ai/Virtuoso-Small",
+    "developer": "arcee-ai",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.77
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7935
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6518
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4094
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3364
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4339
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5191
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/arcee-ai/Virtuoso-Small/cc51c0e0-4e5d-496c-bf02-8b5d8f474cd3.json b/data/hfopenllm_v2/arcee-ai/Virtuoso-Small/cc51c0e0-4e5d-496c-bf02-8b5d8f474cd3.json
deleted file mode 100644
index 131f83780..000000000
--- a/data/hfopenllm_v2/arcee-ai/Virtuoso-Small/cc51c0e0-4e5d-496c-bf02-8b5d8f474cd3.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/arcee-ai_Virtuoso-Small/1762652580.017056",
-  "retrieved_timestamp": "1762652580.017057",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "arcee-ai/Virtuoso-Small",
-    "developer": "arcee-ai",
-    "inference_platform": "unknown",
-    "id": "arcee-ai/Virtuoso-Small",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 14.77
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7935211904413622
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6517633129454784
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4093655589123867
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.33640939597315433
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.43390625
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5191156914893617
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/arcee-ai/raspberry-3B/4777e427-8d17-4e06-8cbf-0883c95bbfd8.json b/data/hfopenllm_v2/arcee-ai/raspberry-3B/4777e427-8d17-4e06-8cbf-0883c95bbfd8.json
new file mode 100644
index 000000000..e1c6d4dab
--- /dev/null
+++ b/data/hfopenllm_v2/arcee-ai/raspberry-3B/4777e427-8d17-4e06-8cbf-0883c95bbfd8.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/arcee-ai_raspberry-3B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "raspberry-3B",
+    "id": "arcee-ai/raspberry-3B",
+    "developer": "arcee-ai",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 3.086
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3154
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4269
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1035
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2777
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4123
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2854
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/arcee-ai/raspberry-3B/cef8c893-a903-4e30-b7e1-5f2fe8f2ac82.json b/data/hfopenllm_v2/arcee-ai/raspberry-3B/cef8c893-a903-4e30-b7e1-5f2fe8f2ac82.json
deleted file mode 100644
index 932afe5a4..000000000
--- a/data/hfopenllm_v2/arcee-ai/raspberry-3B/cef8c893-a903-4e30-b7e1-5f2fe8f2ac82.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/arcee-ai_raspberry-3B/1762652580.017479",
-  "retrieved_timestamp": "1762652580.017479",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "arcee-ai/raspberry-3B",
-    "developer": "arcee-ai",
-    "inference_platform": "unknown",
-    "id": "arcee-ai/raspberry-3B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 3.086
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.31541642840995227
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42689280188827033
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.10347432024169184
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.27768456375838924
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41232291666666665
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
-        "score": 0.285405585106383
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/argilla-warehouse/Llama-3.1-8B-MagPie-Ultra/4df0b890-d4c5-408e-8994-88f7383e9235.json b/data/hfopenllm_v2/argilla-warehouse/Llama-3.1-8B-MagPie-Ultra/4df0b890-d4c5-408e-8994-88f7383e9235.json
new file mode 100644
index 000000000..c9896a281
--- /dev/null
+++ b/data/hfopenllm_v2/argilla-warehouse/Llama-3.1-8B-MagPie-Ultra/4df0b890-d4c5-408e-8994-88f7383e9235.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/argilla-warehouse_Llama-3.1-8B-MagPie-Ultra/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-3.1-8B-MagPie-Ultra",
+    "id": "argilla-warehouse/Llama-3.1-8B-MagPie-Ultra",
+    "developer": "argilla-warehouse",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5757
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.462
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.077
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2668
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3543
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3144
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/argilla/notus-7b-v1/76a5a59d-f5fd-4fb0-849e-7db7772b555a.json b/data/hfopenllm_v2/argilla/notus-7b-v1/76a5a59d-f5fd-4fb0-849e-7db7772b555a.json
new file mode 100644
index 000000000..d4480efe6
--- /dev/null
+++ b/data/hfopenllm_v2/argilla/notus-7b-v1/76a5a59d-f5fd-4fb0-849e-7db7772b555a.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/argilla_notus-7b-v1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "notus-7b-v1",
+    "id": "argilla/notus-7b-v1",
+    "developer": "argilla",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5082
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4512
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0317
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2894
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3364
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3004
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/argilla/notus-7b-v1/c06f66ea-d9e3-4902-b3fd-188110f9c1e4.json b/data/hfopenllm_v2/argilla/notus-7b-v1/c06f66ea-d9e3-4902-b3fd-188110f9c1e4.json
deleted file mode 100644
index 8d4cf80f2..000000000
--- a/data/hfopenllm_v2/argilla/notus-7b-v1/c06f66ea-d9e3-4902-b3fd-188110f9c1e4.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/argilla_notus-7b-v1/1762652580.017684",
-  "retrieved_timestamp": "1762652580.017685",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "argilla/notus-7b-v1",
-    "developer": "argilla",
-    "inference_platform": "unknown",
-    "id": "argilla/notus-7b-v1",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.508207112683236
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4511857407381495
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.03172205438066465
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.28942953020134227
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.33641666666666664
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3003656914893617
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/argilla/notux-8x7b-v1/60185907-11c2-454c-bfbc-3c5741651ab7.json b/data/hfopenllm_v2/argilla/notux-8x7b-v1/60185907-11c2-454c-bfbc-3c5741651ab7.json
deleted file mode 100644
index f3a28d9df..000000000
--- a/data/hfopenllm_v2/argilla/notux-8x7b-v1/60185907-11c2-454c-bfbc-3c5741651ab7.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/argilla_notux-8x7b-v1/1762652580.017979",
-  "retrieved_timestamp": "1762652580.0179799",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "argilla/notux-8x7b-v1",
-    "developer": "argilla",
-    "inference_platform": "unknown",
-    "id": "argilla/notux-8x7b-v1",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MixtralForCausalLM",
-      "params_billions": 46.703
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5422290633297429
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5363304164516353
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.09969788519637462
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3087248322147651
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41759375
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3660239361702128
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/argilla/notux-8x7b-v1/6c8399d0-01ce-45cb-a20f-a49e4e760a1e.json b/data/hfopenllm_v2/argilla/notux-8x7b-v1/6c8399d0-01ce-45cb-a20f-a49e4e760a1e.json
new file mode 100644
index 000000000..8c4516521
--- /dev/null
+++ b/data/hfopenllm_v2/argilla/notux-8x7b-v1/6c8399d0-01ce-45cb-a20f-a49e4e760a1e.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/argilla_notux-8x7b-v1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "notux-8x7b-v1",
+    "id": "argilla/notux-8x7b-v1",
+    "developer": "argilla",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MixtralForCausalLM",
+      "params_billions": 46.703
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5422
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5363
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0997
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
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+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+    {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/arisin/orca-platypus-13B-slerp/92c2c5ee-dfa2-4db3-8401-887d02cc21dd.json b/data/hfopenllm_v2/arisin/orca-platypus-13B-slerp/92c2c5ee-dfa2-4db3-8401-887d02cc21dd.json
new file mode 100644
index 000000000..593200335
--- /dev/null
+++ b/data/hfopenllm_v2/arisin/orca-platypus-13B-slerp/92c2c5ee-dfa2-4db3-8401-887d02cc21dd.json
@@ -0,0 +1,132 @@
+{
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+  "evaluation_id": "hfopenllm_v2/arisin_orca-platypus-13B-slerp/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "orca-platypus-13B-slerp",
+    "id": "arisin/orca-platypus-13B-slerp",
+    "developer": "arisin",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 13.016
+    }
+  },
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
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+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2672
+      }
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
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+    {
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+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2987
+      }
+    },
+    {
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+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4253
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+    },
+    {
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+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2592
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/arisin/orca-platypus-13B-slerp/ecd45b21-21f7-49e2-b314-c7b678bdc8c1.json b/data/hfopenllm_v2/arisin/orca-platypus-13B-slerp/ecd45b21-21f7-49e2-b314-c7b678bdc8c1.json
deleted file mode 100644
index a7c0f33c3..000000000
--- a/data/hfopenllm_v2/arisin/orca-platypus-13B-slerp/ecd45b21-21f7-49e2-b314-c7b678bdc8c1.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/arisin_orca-platypus-13B-slerp/1762652580.018446",
-  "retrieved_timestamp": "1762652580.018446",
-  "source_data": [
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
-    "name": "arisin/orca-platypus-13B-slerp",
-    "developer": "arisin",
-    "inference_platform": "unknown",
-    "id": "arisin/orca-platypus-13B-slerp",
-    "additional_details": {
-      "precision": "float16",
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-      "params_billions": 13.016
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
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-        "lower_is_better": false,
-        "score_type": "continuous",
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-        "lower_is_better": false,
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-        "max_score": 1
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-}
diff --git a/data/hfopenllm_v2/arshiaafshani/Arsh-V1/6f40503d-59ee-4cdc-a697-ef405d9644a7.json b/data/hfopenllm_v2/arshiaafshani/Arsh-V1/6f40503d-59ee-4cdc-a697-ef405d9644a7.json
deleted file mode 100644
index 2870ee145..000000000
--- a/data/hfopenllm_v2/arshiaafshani/Arsh-V1/6f40503d-59ee-4cdc-a697-ef405d9644a7.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/arshiaafshani_Arsh-V1/1762652580.0186949",
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-  "source_data": [
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
-    "name": "arshiaafshani/Arsh-V1",
-    "developer": "arshiaafshani",
-    "inference_platform": "unknown",
-    "id": "arshiaafshani/Arsh-V1",
-    "additional_details": {
-      "precision": "float16",
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-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
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-    },
-    {
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-        "lower_is_better": false,
-        "score_type": "continuous",
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-        "max_score": 1
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-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/arshiaafshani/Arsh-V1/b40ef568-f277-4d5c-87cd-53feaa71598b.json b/data/hfopenllm_v2/arshiaafshani/Arsh-V1/b40ef568-f277-4d5c-87cd-53feaa71598b.json
new file mode 100644
index 000000000..9bb389c7b
--- /dev/null
+++ b/data/hfopenllm_v2/arshiaafshani/Arsh-V1/b40ef568-f277-4d5c-87cd-53feaa71598b.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/arshiaafshani_Arsh-V1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Arsh-V1",
+    "id": "arshiaafshani/Arsh-V1",
+    "developer": "arshiaafshani",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 13.96
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6043
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+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.674
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2621
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3733
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4899
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+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5257
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/asharsha30/LLAMA_Harsha_8_B_ORDP_10k/893d5149-c535-41c7-8a1a-26bb6b33e407.json b/data/hfopenllm_v2/asharsha30/LLAMA_Harsha_8_B_ORDP_10k/893d5149-c535-41c7-8a1a-26bb6b33e407.json
new file mode 100644
index 000000000..1530afe24
--- /dev/null
+++ b/data/hfopenllm_v2/asharsha30/LLAMA_Harsha_8_B_ORDP_10k/893d5149-c535-41c7-8a1a-26bb6b33e407.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/asharsha30_LLAMA_Harsha_8_B_ORDP_10k/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "LLAMA_Harsha_8_B_ORDP_10k",
+    "id": "asharsha30/LLAMA_Harsha_8_B_ORDP_10k",
+    "developer": "asharsha30",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
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+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
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+      "metric_config": {
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+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+        "score": 0.3464
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+    },
+    {
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+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4669
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+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+    {
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+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+        "score": 0.2735
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+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
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+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
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+      }
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/ashercn97/a1-v0.0.1/0b649ed5-5af4-4910-b853-2408e3b58f1f.json b/data/hfopenllm_v2/ashercn97/a1-v0.0.1/0b649ed5-5af4-4910-b853-2408e3b58f1f.json
new file mode 100644
index 000000000..d679dcf37
--- /dev/null
+++ b/data/hfopenllm_v2/ashercn97/a1-v0.0.1/0b649ed5-5af4-4910-b853-2408e3b58f1f.json
@@ -0,0 +1,132 @@
+{
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+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
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+    "evaluator_relationship": "third_party"
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+    "id": "ashercn97/a1-v0.0.1",
+    "developer": "ashercn97",
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+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
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+        "source_type": "hf_dataset",
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+        "score_type": "continuous",
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
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+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
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+        "score_type": "continuous",
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+      },
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "max_score": 1.0
+      },
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+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
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+        "max_score": 1.0
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+      "score_details": {
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+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/ashercn97/a1-v0.0.1/a9e3fe74-400c-444c-9b28-6f49c6671f96.json b/data/hfopenllm_v2/ashercn97/a1-v0.0.1/a9e3fe74-400c-444c-9b28-6f49c6671f96.json
deleted file mode 100644
index 5ec97df56..000000000
--- a/data/hfopenllm_v2/ashercn97/a1-v0.0.1/a9e3fe74-400c-444c-9b28-6f49c6671f96.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "model_info": {
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-    "developer": "ashercn97",
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diff --git a/data/hfopenllm_v2/ashercn97/a1-v002/509c2895-70ae-4381-94ef-f6cdf9ee07ef.json b/data/hfopenllm_v2/ashercn97/a1-v002/509c2895-70ae-4381-94ef-f6cdf9ee07ef.json
deleted file mode 100644
index 570d79b52..000000000
--- a/data/hfopenllm_v2/ashercn97/a1-v002/509c2895-70ae-4381-94ef-f6cdf9ee07ef.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-}
diff --git a/data/hfopenllm_v2/ashercn97/a1-v002/5c8edeba-5c65-4168-b67e-02143acbcafb.json b/data/hfopenllm_v2/ashercn97/a1-v002/5c8edeba-5c65-4168-b67e-02143acbcafb.json
new file mode 100644
index 000000000..ae1d8850d
--- /dev/null
+++ b/data/hfopenllm_v2/ashercn97/a1-v002/5c8edeba-5c65-4168-b67e-02143acbcafb.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/ashercn97_a1-v002/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "a1-v002",
+    "id": "ashercn97/a1-v002",
+    "developer": "ashercn97",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
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+  },
+  "evaluation_results": [
+    {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
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+        "hf_repo": "SaylorTwift/bbh"
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+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
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+        "max_score": 1.0
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+    },
+    {
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+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
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+        "hf_repo": "Idavidrein/gpqa"
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+        "score_type": "continuous",
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+      },
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+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
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+      "score_details": {
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+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
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+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/assskelad/smollm2-360M-sft_SmallThoughts/67e657ef-d602-4f58-b898-874a22f4a009.json b/data/hfopenllm_v2/assskelad/smollm2-360M-sft_SmallThoughts/67e657ef-d602-4f58-b898-874a22f4a009.json
new file mode 100644
index 000000000..72305cf3d
--- /dev/null
+++ b/data/hfopenllm_v2/assskelad/smollm2-360M-sft_SmallThoughts/67e657ef-d602-4f58-b898-874a22f4a009.json
@@ -0,0 +1,132 @@
+{
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+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
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+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
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+  "model_info": {
+    "name": "smollm2-360M-sft_SmallThoughts",
+    "id": "assskelad/smollm2-360M-sft_SmallThoughts",
+    "developer": "assskelad",
+    "inference_platform": "unknown",
+    "additional_details": {
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+      "architecture": "LlamaForCausalLM",
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+        "hf_repo": "SaylorTwift/bbh"
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+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
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+      "metric_config": {
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+        "evaluation_description": "Accuracy on MUSR",
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+    {
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+        "hf_repo": "TIGER-Lab/MMLU-Pro"
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+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/assskelad/smollm2-360M-sft_SmallThoughts/ce2f5cc8-a187-454d-ba99-4446d29aab7c.json b/data/hfopenllm_v2/assskelad/smollm2-360M-sft_SmallThoughts/ce2f5cc8-a187-454d-ba99-4446d29aab7c.json
deleted file mode 100644
index f193d151a..000000000
--- a/data/hfopenllm_v2/assskelad/smollm2-360M-sft_SmallThoughts/ce2f5cc8-a187-454d-ba99-4446d29aab7c.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/assskelad_smollm2-360M-sft_SmallThoughts/1762652580.019667",
-  "retrieved_timestamp": "1762652580.0196679",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "assskelad/smollm2-360M-sft_SmallThoughts",
-    "developer": "assskelad",
-    "inference_platform": "unknown",
-    "id": "assskelad/smollm2-360M-sft_SmallThoughts",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 0.362
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.20071078072846715
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3149572469619188
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.01661631419939577
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.25922818791946306
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3395208333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11818484042553191
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/athirdpath/Llama-3.1-Instruct_NSFW-pretrained_e1-plus_reddit/53d2bf07-689a-4e69-a534-b288313c8481.json b/data/hfopenllm_v2/athirdpath/Llama-3.1-Instruct_NSFW-pretrained_e1-plus_reddit/53d2bf07-689a-4e69-a534-b288313c8481.json
new file mode 100644
index 000000000..f4805d33d
--- /dev/null
+++ b/data/hfopenllm_v2/athirdpath/Llama-3.1-Instruct_NSFW-pretrained_e1-plus_reddit/53d2bf07-689a-4e69-a534-b288313c8481.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/athirdpath_Llama-3.1-Instruct_NSFW-pretrained_e1-plus_reddit/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-3.1-Instruct_NSFW-pretrained_e1-plus_reddit",
+    "id": "athirdpath/Llama-3.1-Instruct_NSFW-pretrained_e1-plus_reddit",
+    "developer": "athirdpath",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4521
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4939
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.102
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2919
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3864
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3565
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/athirdpath/Llama-3.1-Instruct_NSFW-pretrained_e1-plus_reddit/9255090f-6862-4ff1-ac91-fe0cd7613445.json b/data/hfopenllm_v2/athirdpath/Llama-3.1-Instruct_NSFW-pretrained_e1-plus_reddit/9255090f-6862-4ff1-ac91-fe0cd7613445.json
deleted file mode 100644
index c623fad87..000000000
--- a/data/hfopenllm_v2/athirdpath/Llama-3.1-Instruct_NSFW-pretrained_e1-plus_reddit/9255090f-6862-4ff1-ac91-fe0cd7613445.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/athirdpath_Llama-3.1-Instruct_NSFW-pretrained_e1-plus_reddit/1762652580.019914",
-  "retrieved_timestamp": "1762652580.019914",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "athirdpath/Llama-3.1-Instruct_NSFW-pretrained_e1-plus_reddit",
-    "developer": "athirdpath",
-    "inference_platform": "unknown",
-    "id": "athirdpath/Llama-3.1-Instruct_NSFW-pretrained_e1-plus_reddit",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4521037513796726
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4939066588253951
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.10196374622356495
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.29194630872483224
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3863958333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3564660904255319
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/automerger/YamshadowExperiment28-7B/1fa5dee9-c360-40d9-8e67-9b415cd36616.json b/data/hfopenllm_v2/automerger/YamshadowExperiment28-7B/1fa5dee9-c360-40d9-8e67-9b415cd36616.json
deleted file mode 100644
index 1d64ca3c6..000000000
--- a/data/hfopenllm_v2/automerger/YamshadowExperiment28-7B/1fa5dee9-c360-40d9-8e67-9b415cd36616.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/automerger_YamshadowExperiment28-7B/1762652580.020166",
-  "retrieved_timestamp": "1762652580.0201669",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "automerger/YamshadowExperiment28-7B",
-    "developer": "automerger",
-    "inference_platform": "unknown",
-    "id": "automerger/YamshadowExperiment28-7B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4070156074770498
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5150030227855061
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-    {
-      "evaluation_name": "MATH Level 5",
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.06117824773413897
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.28691275167785235
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4306145833333333
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30601728723404253
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/automerger/YamshadowExperiment28-7B/34d6a184-d4d5-4609-8305-c0e2ee1c585b.json b/data/hfopenllm_v2/automerger/YamshadowExperiment28-7B/34d6a184-d4d5-4609-8305-c0e2ee1c585b.json
new file mode 100644
index 000000000..2b426dfef
--- /dev/null
+++ b/data/hfopenllm_v2/automerger/YamshadowExperiment28-7B/34d6a184-d4d5-4609-8305-c0e2ee1c585b.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/automerger_YamshadowExperiment28-7B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "YamshadowExperiment28-7B",
+    "id": "automerger/YamshadowExperiment28-7B",
+    "developer": "automerger",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.407
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.515
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0612
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2869
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4306
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.306
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/avemio/GRAG-NEMO-12B-ORPO-HESSIAN-AI/39b627ab-3e64-42f7-a88d-abe5764fcf4d.json b/data/hfopenllm_v2/avemio/GRAG-NEMO-12B-ORPO-HESSIAN-AI/39b627ab-3e64-42f7-a88d-abe5764fcf4d.json
new file mode 100644
index 000000000..a782f820f
--- /dev/null
+++ b/data/hfopenllm_v2/avemio/GRAG-NEMO-12B-ORPO-HESSIAN-AI/39b627ab-3e64-42f7-a88d-abe5764fcf4d.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/avemio_GRAG-NEMO-12B-ORPO-HESSIAN-AI/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
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+    }
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/avemio/GRAG-NEMO-12B-ORPO-HESSIAN-AI/45cc7b31-3f75-42f7-9b07-3cf704fd2b55.json b/data/hfopenllm_v2/avemio/GRAG-NEMO-12B-ORPO-HESSIAN-AI/45cc7b31-3f75-42f7-9b07-3cf704fd2b55.json
deleted file mode 100644
index 5691e54fb..000000000
--- a/data/hfopenllm_v2/avemio/GRAG-NEMO-12B-ORPO-HESSIAN-AI/45cc7b31-3f75-42f7-9b07-3cf704fd2b55.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/awnr/Mistral-7B-v0.1-signtensors-1-over-2/d8467b15-8a03-4cde-9fc5-5c08bdabb6c6.json b/data/hfopenllm_v2/awnr/Mistral-7B-v0.1-signtensors-1-over-2/d8467b15-8a03-4cde-9fc5-5c08bdabb6c6.json
new file mode 100644
index 000000000..edcb076d2
--- /dev/null
+++ b/data/hfopenllm_v2/awnr/Mistral-7B-v0.1-signtensors-1-over-2/d8467b15-8a03-4cde-9fc5-5c08bdabb6c6.json
@@ -0,0 +1,132 @@
+{
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+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
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+    "id": "awnr/Mistral-7B-v0.1-signtensors-1-over-2",
+    "developer": "awnr",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
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+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
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+      "source_data": {
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+        "hf_repo": "SaylorTwift/bbh"
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+        "hf_repo": "Idavidrein/gpqa"
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+    },
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+        "hf_repo": "TAUR-Lab/MuSR"
+      },
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+        "max_score": 1.0
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+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
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+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
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+        "max_score": 1.0
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+    }
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/awnr/Mistral-7B-v0.1-signtensors-1-over-4/85bc5976-0d40-4416-bbf8-9b1dbf372343.json b/data/hfopenllm_v2/awnr/Mistral-7B-v0.1-signtensors-1-over-4/85bc5976-0d40-4416-bbf8-9b1dbf372343.json
new file mode 100644
index 000000000..cddb44dc5
--- /dev/null
+++ b/data/hfopenllm_v2/awnr/Mistral-7B-v0.1-signtensors-1-over-4/85bc5976-0d40-4416-bbf8-9b1dbf372343.json
@@ -0,0 +1,132 @@
+{
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+  "source_metadata": {
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+    "id": "awnr/Mistral-7B-v0.1-signtensors-1-over-4",
+    "developer": "awnr",
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+        "score_type": "continuous",
+        "min_score": 0.0,
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+      },
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+      }
+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
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+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "max_score": 1.0
+      },
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+    },
+    {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "max_score": 1.0
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+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
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+        "max_score": 1.0
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+      }
+    },
+    {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
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+    {
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+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/awnr/Mistral-7B-v0.1-signtensors-3-over-8/8c7e8e64-672e-4c7e-a808-a49f1792d3a8.json b/data/hfopenllm_v2/awnr/Mistral-7B-v0.1-signtensors-3-over-8/8c7e8e64-672e-4c7e-a808-a49f1792d3a8.json
new file mode 100644
index 000000000..d4c3cdd30
--- /dev/null
+++ b/data/hfopenllm_v2/awnr/Mistral-7B-v0.1-signtensors-3-over-8/8c7e8e64-672e-4c7e-a808-a49f1792d3a8.json
@@ -0,0 +1,132 @@
+{
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+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
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+    "name": "Mistral-7B-v0.1-signtensors-3-over-8",
+    "id": "awnr/Mistral-7B-v0.1-signtensors-3-over-8",
+    "developer": "awnr",
+    "inference_platform": "unknown",
+    "additional_details": {
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+      "architecture": "MistralForCausalLM",
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+    }
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+  "evaluation_results": [
+    {
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+        "hf_repo": "SaylorTwift/bbh"
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+      "metric_config": {
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+    }
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/awnr/Mistral-7B-v0.1-signtensors-5-over-16/de8651eb-16d1-46ee-a1df-b8c72caaf205.json b/data/hfopenllm_v2/awnr/Mistral-7B-v0.1-signtensors-5-over-16/de8651eb-16d1-46ee-a1df-b8c72caaf205.json
new file mode 100644
index 000000000..cde7a7057
--- /dev/null
+++ b/data/hfopenllm_v2/awnr/Mistral-7B-v0.1-signtensors-5-over-16/de8651eb-16d1-46ee-a1df-b8c72caaf205.json
@@ -0,0 +1,132 @@
+{
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+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Mistral-7B-v0.1-signtensors-5-over-16",
+    "id": "awnr/Mistral-7B-v0.1-signtensors-5-over-16",
+    "developer": "awnr",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
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+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+      }
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+    {
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+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4124
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
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+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.281
+      }
+    },
+    {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2958
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/awnr/Mistral-7B-v0.1-signtensors-7-over-16/6a744db8-814f-4e8e-b6e5-0d096267dfa5.json b/data/hfopenllm_v2/awnr/Mistral-7B-v0.1-signtensors-7-over-16/6a744db8-814f-4e8e-b6e5-0d096267dfa5.json
new file mode 100644
index 000000000..7819c9d49
--- /dev/null
+++ b/data/hfopenllm_v2/awnr/Mistral-7B-v0.1-signtensors-7-over-16/6a744db8-814f-4e8e-b6e5-0d096267dfa5.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/awnr_Mistral-7B-v0.1-signtensors-7-over-16/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Mistral-7B-v0.1-signtensors-7-over-16",
+    "id": "awnr/Mistral-7B-v0.1-signtensors-7-over-16",
+    "developer": "awnr",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2294
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4316
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.303
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/aws-prototyping/MegaBeam-Mistral-7B-512k/028b7c37-770e-4356-a7c6-0cc74650d5fd.json b/data/hfopenllm_v2/aws-prototyping/MegaBeam-Mistral-7B-512k/028b7c37-770e-4356-a7c6-0cc74650d5fd.json
new file mode 100644
index 000000000..8bff123e1
--- /dev/null
+++ b/data/hfopenllm_v2/aws-prototyping/MegaBeam-Mistral-7B-512k/028b7c37-770e-4356-a7c6-0cc74650d5fd.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/aws-prototyping_MegaBeam-Mistral-7B-512k/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "MegaBeam-Mistral-7B-512k",
+    "id": "aws-prototyping/MegaBeam-Mistral-7B-512k",
+    "developer": "aws-prototyping",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5973
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3662
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0287
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2827
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3994
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2589
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/axolotl-ai-co/romulus-mistral-nemo-12b-simpo/3b399c64-922a-48ba-9a25-862102749647.json b/data/hfopenllm_v2/axolotl-ai-co/romulus-mistral-nemo-12b-simpo/3b399c64-922a-48ba-9a25-862102749647.json
new file mode 100644
index 000000000..fa7e408a7
--- /dev/null
+++ b/data/hfopenllm_v2/axolotl-ai-co/romulus-mistral-nemo-12b-simpo/3b399c64-922a-48ba-9a25-862102749647.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/axolotl-ai-co_romulus-mistral-nemo-12b-simpo/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "romulus-mistral-nemo-12b-simpo",
+    "id": "axolotl-ai-co/romulus-mistral-nemo-12b-simpo",
+    "developer": "axolotl-ai-co",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 12.248
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6079
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5395
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.114
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2785
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4233
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3469
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/baconnier/Napoleon_24B_V0.0/88fb101e-35dd-40af-922f-9b66a2711249.json b/data/hfopenllm_v2/baconnier/Napoleon_24B_V0.0/88fb101e-35dd-40af-922f-9b66a2711249.json
deleted file mode 100644
index be7c1ae28..000000000
--- a/data/hfopenllm_v2/baconnier/Napoleon_24B_V0.0/88fb101e-35dd-40af-922f-9b66a2711249.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/baconnier_Napoleon_24B_V0.0/1762652580.0222468",
-  "retrieved_timestamp": "1762652580.022248",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "baconnier/Napoleon_24B_V0.0",
-    "developer": "baconnier",
-    "inference_platform": "unknown",
-    "id": "baconnier/Napoleon_24B_V0.0",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 23.572
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1801021290176731
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6367110843973786
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.22734138972809667
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37919463087248323
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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diff --git a/data/hfopenllm_v2/baconnier/Napoleon_24B_V0.0/d5e46a11-3e81-457d-9d26-9fd17f96f076.json b/data/hfopenllm_v2/baconnier/Napoleon_24B_V0.0/d5e46a11-3e81-457d-9d26-9fd17f96f076.json
new file mode 100644
index 000000000..e7ee5d6e9
--- /dev/null
+++ b/data/hfopenllm_v2/baconnier/Napoleon_24B_V0.0/d5e46a11-3e81-457d-9d26-9fd17f96f076.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/baconnier_Napoleon_24B_V0.0/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Napoleon_24B_V0.0",
+    "id": "baconnier/Napoleon_24B_V0.0",
+    "developer": "baconnier",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 23.572
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1801
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6367
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2273
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3792
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.442
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.504
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/baconnier/Napoleon_24B_V0.2/4857d2d0-1a4b-4544-8b1e-fb4b01618a3b.json b/data/hfopenllm_v2/baconnier/Napoleon_24B_V0.2/4857d2d0-1a4b-4544-8b1e-fb4b01618a3b.json
deleted file mode 100644
index 059a68d24..000000000
--- a/data/hfopenllm_v2/baconnier/Napoleon_24B_V0.2/4857d2d0-1a4b-4544-8b1e-fb4b01618a3b.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/baconnier_Napoleon_24B_V0.2/1762652580.022489",
-  "retrieved_timestamp": "1762652580.022489",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "baconnier/Napoleon_24B_V0.2",
-    "developer": "baconnier",
-    "inference_platform": "unknown",
-    "id": "baconnier/Napoleon_24B_V0.2",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 23.572
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2527172347150006
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5910621269874454
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-      }
-    },
-    {
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-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.33808724832214765
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4459583333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4356715425531915
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/baconnier/Napoleon_24B_V0.2/b3abfbc1-911a-43b7-a338-efb25f746f9d.json b/data/hfopenllm_v2/baconnier/Napoleon_24B_V0.2/b3abfbc1-911a-43b7-a338-efb25f746f9d.json
new file mode 100644
index 000000000..d0b53963a
--- /dev/null
+++ b/data/hfopenllm_v2/baconnier/Napoleon_24B_V0.2/b3abfbc1-911a-43b7-a338-efb25f746f9d.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/baconnier_Napoleon_24B_V0.2/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Napoleon_24B_V0.2",
+    "id": "baconnier/Napoleon_24B_V0.2",
+    "developer": "baconnier",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 23.572
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2527
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5911
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1435
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3381
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.446
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4357
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/baebee/7B-Cetacea/5985fed7-9c54-458d-8f64-533e248a38da.json b/data/hfopenllm_v2/baebee/7B-Cetacea/5985fed7-9c54-458d-8f64-533e248a38da.json
deleted file mode 100644
index 4de8d2d80..000000000
--- a/data/hfopenllm_v2/baebee/7B-Cetacea/5985fed7-9c54-458d-8f64-533e248a38da.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/baebee_7B-Cetacea/1762652580.022699",
-  "retrieved_timestamp": "1762652580.022699",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "baebee/7B-Cetacea",
-    "developer": "baebee",
-    "inference_platform": "unknown",
-    "id": "baebee/7B-Cetacea",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5278660620486975
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4757171853895546
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.04682779456193353
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2860738255033557
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41362499999999996
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2954621010638298
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/baebee/7B-Cetacea/6b471ee0-9444-45ff-92cf-da624aa59bf6.json b/data/hfopenllm_v2/baebee/7B-Cetacea/6b471ee0-9444-45ff-92cf-da624aa59bf6.json
new file mode 100644
index 000000000..a0e865f81
--- /dev/null
+++ b/data/hfopenllm_v2/baebee/7B-Cetacea/6b471ee0-9444-45ff-92cf-da624aa59bf6.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/baebee_7B-Cetacea/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "7B-Cetacea",
+    "id": "baebee/7B-Cetacea",
+    "developer": "baebee",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5279
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4757
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0468
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2861
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4136
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2955
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/baebee/mergekit-model_stock-nzjnheg/b56bd924-0a63-4ca2-8f2f-97b581e47a36.json b/data/hfopenllm_v2/baebee/mergekit-model_stock-nzjnheg/b56bd924-0a63-4ca2-8f2f-97b581e47a36.json
new file mode 100644
index 000000000..bee951289
--- /dev/null
+++ b/data/hfopenllm_v2/baebee/mergekit-model_stock-nzjnheg/b56bd924-0a63-4ca2-8f2f-97b581e47a36.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/baebee_mergekit-model_stock-nzjnheg/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "mergekit-model_stock-nzjnheg",
+    "id": "baebee/mergekit-model_stock-nzjnheg",
+    "developer": "baebee",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4844
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5287
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1677
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2802
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3847
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3699
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/baebee/mergekit-model_stock-nzjnheg/e847afb0-c8ac-4cce-b0f9-1667c9fbef3c.json b/data/hfopenllm_v2/baebee/mergekit-model_stock-nzjnheg/e847afb0-c8ac-4cce-b0f9-1667c9fbef3c.json
deleted file mode 100644
index 2f1148826..000000000
--- a/data/hfopenllm_v2/baebee/mergekit-model_stock-nzjnheg/e847afb0-c8ac-4cce-b0f9-1667c9fbef3c.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/baebee_mergekit-model_stock-nzjnheg/1762652580.022936",
-  "retrieved_timestamp": "1762652580.022937",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "baebee/mergekit-model_stock-nzjnheg",
-    "developer": "baebee",
-    "inference_platform": "unknown",
-    "id": "baebee/mergekit-model_stock-nzjnheg",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.616
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5287391310729729
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-    },
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
-        "score": 0.2802013422818792
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-    },
-    {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.38466666666666666
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3699301861702128
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/baebee/mergekit-ties-fnjenli/21b3d7d0-301d-431d-9cfc-a0ad1e326f03.json b/data/hfopenllm_v2/baebee/mergekit-ties-fnjenli/21b3d7d0-301d-431d-9cfc-a0ad1e326f03.json
deleted file mode 100644
index a2d6ddb5b..000000000
--- a/data/hfopenllm_v2/baebee/mergekit-ties-fnjenli/21b3d7d0-301d-431d-9cfc-a0ad1e326f03.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/baebee_mergekit-ties-fnjenli/1762652580.0231512",
-  "retrieved_timestamp": "1762652580.023152",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "baebee/mergekit-ties-fnjenli",
-    "developer": "baebee",
-    "inference_platform": "unknown",
-    "id": "baebee/mergekit-ties-fnjenli",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.616
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
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-    {
-      "evaluation_name": "BBH",
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-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.24496644295302014
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4019375
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11286569148936171
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/baebee/mergekit-ties-fnjenli/bfe9098d-7207-4f8c-9a3f-549a29303b5f.json b/data/hfopenllm_v2/baebee/mergekit-ties-fnjenli/bfe9098d-7207-4f8c-9a3f-549a29303b5f.json
new file mode 100644
index 000000000..73adf9632
--- /dev/null
+++ b/data/hfopenllm_v2/baebee/mergekit-ties-fnjenli/bfe9098d-7207-4f8c-9a3f-549a29303b5f.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/baebee_mergekit-ties-fnjenli/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "mergekit-ties-fnjenli",
+    "id": "baebee/mergekit-ties-fnjenli",
+    "developer": "baebee",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1988
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3024
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0023
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.245
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4019
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1129
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/bamec66557/MISCHIEVOUS-12B-Mix_0.1v/7856172d-ec3e-4e71-befe-54952478e330.json b/data/hfopenllm_v2/bamec66557/MISCHIEVOUS-12B-Mix_0.1v/7856172d-ec3e-4e71-befe-54952478e330.json
new file mode 100644
index 000000000..8956821d3
--- /dev/null
+++ b/data/hfopenllm_v2/bamec66557/MISCHIEVOUS-12B-Mix_0.1v/7856172d-ec3e-4e71-befe-54952478e330.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/bamec66557_MISCHIEVOUS-12B-Mix_0.1v/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "MISCHIEVOUS-12B-Mix_0.1v",
+    "id": "bamec66557/MISCHIEVOUS-12B-Mix_0.1v",
+    "developer": "bamec66557",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 12.248
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3636
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5436
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1329
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.328
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4132
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3674
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/bamec66557/MISCHIEVOUS-12B-Mix_0.1v/ae256440-486f-43cf-b4a3-8d5c0ff196c9.json b/data/hfopenllm_v2/bamec66557/MISCHIEVOUS-12B-Mix_0.1v/ae256440-486f-43cf-b4a3-8d5c0ff196c9.json
deleted file mode 100644
index a2c6ce817..000000000
--- a/data/hfopenllm_v2/bamec66557/MISCHIEVOUS-12B-Mix_0.1v/ae256440-486f-43cf-b4a3-8d5c0ff196c9.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/bamec66557_MISCHIEVOUS-12B-Mix_0.1v/1762652580.023659",
-  "retrieved_timestamp": "1762652580.023659",
-  "source_data": [
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-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "bamec66557/MISCHIEVOUS-12B-Mix_0.1v",
-    "developer": "bamec66557",
-    "inference_platform": "unknown",
-    "id": "bamec66557/MISCHIEVOUS-12B-Mix_0.1v",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 12.248
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.36362628935668473
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-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41315624999999995
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
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-      }
-    }
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-}
diff --git a/data/hfopenllm_v2/bamec66557/MISCHIEVOUS-12B-Mix_0.2v/a68aada5-61bd-4a4c-a8e1-b9a2ace349df.json b/data/hfopenllm_v2/bamec66557/MISCHIEVOUS-12B-Mix_0.2v/a68aada5-61bd-4a4c-a8e1-b9a2ace349df.json
new file mode 100644
index 000000000..4b040ddba
--- /dev/null
+++ b/data/hfopenllm_v2/bamec66557/MISCHIEVOUS-12B-Mix_0.2v/a68aada5-61bd-4a4c-a8e1-b9a2ace349df.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/bamec66557_MISCHIEVOUS-12B-Mix_0.2v/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "MISCHIEVOUS-12B-Mix_0.2v",
+    "id": "bamec66557/MISCHIEVOUS-12B-Mix_0.2v",
+    "developer": "bamec66557",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 12.248
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3624
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5434
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1261
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3255
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4158
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3663
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/bamec66557/MISCHIEVOUS-12B-Mix_0.2v/d509b0d3-a043-4057-bf80-37ec5ceedeed.json b/data/hfopenllm_v2/bamec66557/MISCHIEVOUS-12B-Mix_0.2v/d509b0d3-a043-4057-bf80-37ec5ceedeed.json
deleted file mode 100644
index 7e5bf547c..000000000
--- a/data/hfopenllm_v2/bamec66557/MISCHIEVOUS-12B-Mix_0.2v/d509b0d3-a043-4057-bf80-37ec5ceedeed.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/bamec66557_MISCHIEVOUS-12B-Mix_0.2v/1762652580.023869",
-  "retrieved_timestamp": "1762652580.02387",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
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-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "bamec66557/MISCHIEVOUS-12B-Mix_0.2v",
-    "developer": "bamec66557",
-    "inference_platform": "unknown",
-    "id": "bamec66557/MISCHIEVOUS-12B-Mix_0.2v",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 12.248
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5434355857920987
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-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.12613293051359517
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.32550335570469796
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.36627327127659576
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/bamec66557/MISCHIEVOUS-12B-Mix_0.3v/8e2e1f2f-4715-4b8b-b641-d5e552500408.json b/data/hfopenllm_v2/bamec66557/MISCHIEVOUS-12B-Mix_0.3v/8e2e1f2f-4715-4b8b-b641-d5e552500408.json
deleted file mode 100644
index 4d5d92b71..000000000
--- a/data/hfopenllm_v2/bamec66557/MISCHIEVOUS-12B-Mix_0.3v/8e2e1f2f-4715-4b8b-b641-d5e552500408.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/bamec66557_MISCHIEVOUS-12B-Mix_0.3v/1762652580.02432",
-  "retrieved_timestamp": "1762652580.024322",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "bamec66557/MISCHIEVOUS-12B-Mix_0.3v",
-    "developer": "bamec66557",
-    "inference_platform": "unknown",
-    "id": "bamec66557/MISCHIEVOUS-12B-Mix_0.3v",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 12.248
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
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-    },
-    {
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-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
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-    {
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-        "lower_is_better": false,
-        "score_type": "continuous",
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-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41312499999999996
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3663563829787234
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/bamec66557/MISCHIEVOUS-12B-Mix_0.3v/9d19c44f-4912-4c95-ab3f-2dddb055d932.json b/data/hfopenllm_v2/bamec66557/MISCHIEVOUS-12B-Mix_0.3v/9d19c44f-4912-4c95-ab3f-2dddb055d932.json
new file mode 100644
index 000000000..f38472040
--- /dev/null
+++ b/data/hfopenllm_v2/bamec66557/MISCHIEVOUS-12B-Mix_0.3v/9d19c44f-4912-4c95-ab3f-2dddb055d932.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/bamec66557_MISCHIEVOUS-12B-Mix_0.3v/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "MISCHIEVOUS-12B-Mix_0.3v",
+    "id": "bamec66557/MISCHIEVOUS-12B-Mix_0.3v",
+    "developer": "bamec66557",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 12.248
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.387
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5431
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1337
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3196
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4131
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3664
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/bamec66557/MISCHIEVOUS-12B-Mix_0.4v/4072cc72-b6b4-4a5d-8f01-f9f8437ea569.json b/data/hfopenllm_v2/bamec66557/MISCHIEVOUS-12B-Mix_0.4v/4072cc72-b6b4-4a5d-8f01-f9f8437ea569.json
deleted file mode 100644
index fdc51cec9..000000000
--- a/data/hfopenllm_v2/bamec66557/MISCHIEVOUS-12B-Mix_0.4v/4072cc72-b6b4-4a5d-8f01-f9f8437ea569.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/bamec66557_MISCHIEVOUS-12B-Mix_0.4v/1762652580.024673",
-  "retrieved_timestamp": "1762652580.024674",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "bamec66557/MISCHIEVOUS-12B-Mix_0.4v",
-    "developer": "bamec66557",
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-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
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-        "max_score": 1
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-}
diff --git a/data/hfopenllm_v2/bamec66557/MISCHIEVOUS-12B-Mix_0.4v/6cef3550-27d7-4073-b4bb-0f19a2c5f553.json b/data/hfopenllm_v2/bamec66557/MISCHIEVOUS-12B-Mix_0.4v/6cef3550-27d7-4073-b4bb-0f19a2c5f553.json
new file mode 100644
index 000000000..ac3a04ead
--- /dev/null
+++ b/data/hfopenllm_v2/bamec66557/MISCHIEVOUS-12B-Mix_0.4v/6cef3550-27d7-4073-b4bb-0f19a2c5f553.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/bamec66557_MISCHIEVOUS-12B-Mix_0.4v/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "MISCHIEVOUS-12B-Mix_0.4v",
+    "id": "bamec66557/MISCHIEVOUS-12B-Mix_0.4v",
+    "developer": "bamec66557",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 12.248
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6508
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5094
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1352
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3171
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4176
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3683
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/bamec66557/MISCHIEVOUS-12B-Mix_0.5v/08ab8f6a-9aaf-4ab4-ada3-eb4a75f46995.json b/data/hfopenllm_v2/bamec66557/MISCHIEVOUS-12B-Mix_0.5v/08ab8f6a-9aaf-4ab4-ada3-eb4a75f46995.json
new file mode 100644
index 000000000..95a75b4b9
--- /dev/null
+++ b/data/hfopenllm_v2/bamec66557/MISCHIEVOUS-12B-Mix_0.5v/08ab8f6a-9aaf-4ab4-ada3-eb4a75f46995.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/bamec66557_MISCHIEVOUS-12B-Mix_0.5v/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "MISCHIEVOUS-12B-Mix_0.5v",
+    "id": "bamec66557/MISCHIEVOUS-12B-Mix_0.5v",
+    "developer": "bamec66557",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 12.248
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3746
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5422
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1367
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3205
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4132
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3661
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/bamec66557/MISCHIEVOUS-12B-Mix_0.5v/fa2e9cff-4a7b-4efd-98ca-b8fd2cb33928.json b/data/hfopenllm_v2/bamec66557/MISCHIEVOUS-12B-Mix_0.5v/fa2e9cff-4a7b-4efd-98ca-b8fd2cb33928.json
deleted file mode 100644
index 7a34fb116..000000000
--- a/data/hfopenllm_v2/bamec66557/MISCHIEVOUS-12B-Mix_0.5v/fa2e9cff-4a7b-4efd-98ca-b8fd2cb33928.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/bamec66557_MISCHIEVOUS-12B-Mix_0.5v/1762652580.0249128",
-  "retrieved_timestamp": "1762652580.024914",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "bamec66557/MISCHIEVOUS-12B-Mix_0.5v",
-    "developer": "bamec66557",
-    "inference_platform": "unknown",
-    "id": "bamec66557/MISCHIEVOUS-12B-Mix_0.5v",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 12.248
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3745672593163916
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5421932988679541
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.13670694864048338
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.32046979865771813
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41315624999999995
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.36610704787234044
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/bamec66557/MISCHIEVOUS-12B-Mix_0.6v/622f9379-6a30-43ba-a7a8-fbd08c484fa5.json b/data/hfopenllm_v2/bamec66557/MISCHIEVOUS-12B-Mix_0.6v/622f9379-6a30-43ba-a7a8-fbd08c484fa5.json
new file mode 100644
index 000000000..a048d396f
--- /dev/null
+++ b/data/hfopenllm_v2/bamec66557/MISCHIEVOUS-12B-Mix_0.6v/622f9379-6a30-43ba-a7a8-fbd08c484fa5.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/bamec66557_MISCHIEVOUS-12B-Mix_0.6v/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "MISCHIEVOUS-12B-Mix_0.6v",
+    "id": "bamec66557/MISCHIEVOUS-12B-Mix_0.6v",
+    "developer": "bamec66557",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 12.248
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4366
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5449
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1254
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.328
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4185
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3662
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/bamec66557/MISCHIEVOUS-12B-Mix_0.6v/a58c4863-e5a9-425d-ad3e-5924d6146718.json b/data/hfopenllm_v2/bamec66557/MISCHIEVOUS-12B-Mix_0.6v/a58c4863-e5a9-425d-ad3e-5924d6146718.json
deleted file mode 100644
index 2930035dd..000000000
--- a/data/hfopenllm_v2/bamec66557/MISCHIEVOUS-12B-Mix_0.6v/a58c4863-e5a9-425d-ad3e-5924d6146718.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/bamec66557_MISCHIEVOUS-12B-Mix_0.6v/1762652580.025138",
-  "retrieved_timestamp": "1762652580.0251389",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
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-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-}
diff --git a/data/hfopenllm_v2/bamec66557/MISCHIEVOUS-12B-Mix_III_IV_V/24f728e6-de5e-44cc-8b6d-51e0065c1475.json b/data/hfopenllm_v2/bamec66557/MISCHIEVOUS-12B-Mix_III_IV_V/24f728e6-de5e-44cc-8b6d-51e0065c1475.json
new file mode 100644
index 000000000..5db8c43d5
--- /dev/null
+++ b/data/hfopenllm_v2/bamec66557/MISCHIEVOUS-12B-Mix_III_IV_V/24f728e6-de5e-44cc-8b6d-51e0065c1475.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/bamec66557_MISCHIEVOUS-12B-Mix_III_IV_V/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "MISCHIEVOUS-12B-Mix_III_IV_V",
+    "id": "bamec66557/MISCHIEVOUS-12B-Mix_III_IV_V",
+    "developer": "bamec66557",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 12.248
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4031
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5465
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1292
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3205
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4198
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3664
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/bamec66557/MISCHIEVOUS-12B-Mix_III_IV_V/c2e334b3-e82d-40bb-a6ed-9a941bf2352a.json b/data/hfopenllm_v2/bamec66557/MISCHIEVOUS-12B-Mix_III_IV_V/c2e334b3-e82d-40bb-a6ed-9a941bf2352a.json
deleted file mode 100644
index e38a97a8a..000000000
--- a/data/hfopenllm_v2/bamec66557/MISCHIEVOUS-12B-Mix_III_IV_V/c2e334b3-e82d-40bb-a6ed-9a941bf2352a.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/bamec66557_MISCHIEVOUS-12B-Mix_III_IV_V/1762652580.0253649",
-  "retrieved_timestamp": "1762652580.025366",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
-    "name": "bamec66557/MISCHIEVOUS-12B-Mix_III_IV_V",
-    "developer": "bamec66557",
-    "inference_platform": "unknown",
-    "id": "bamec66557/MISCHIEVOUS-12B-Mix_III_IV_V",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 12.248
-    }
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-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
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-        "lower_is_better": false,
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-        "max_score": 1
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-        "lower_is_better": false,
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-        "lower_is_better": false,
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-        "max_score": 1
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-      "evaluation_name": "MUSR",
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-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/bamec66557/MISCHIEVOUS-12B-Mix_III_ex_V/6f31292a-b09f-4e2c-ae3c-b093c5ba06c6.json b/data/hfopenllm_v2/bamec66557/MISCHIEVOUS-12B-Mix_III_ex_V/6f31292a-b09f-4e2c-ae3c-b093c5ba06c6.json
deleted file mode 100644
index 42330d3f9..000000000
--- a/data/hfopenllm_v2/bamec66557/MISCHIEVOUS-12B-Mix_III_ex_V/6f31292a-b09f-4e2c-ae3c-b093c5ba06c6.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/bamec66557_MISCHIEVOUS-12B-Mix_III_ex_V/1762652580.025593",
-  "retrieved_timestamp": "1762652580.025593",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "bamec66557/MISCHIEVOUS-12B-Mix_III_ex_V",
-    "developer": "bamec66557",
-    "inference_platform": "unknown",
-    "id": "bamec66557/MISCHIEVOUS-12B-Mix_III_ex_V",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 12.248
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-        "lower_is_better": false,
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-        "max_score": 1
-      },
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-    },
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-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
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-    },
-    {
-      "evaluation_name": "GPQA",
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-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.32046979865771813
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4197916666666666
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3648603723404255
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/bamec66557/MISCHIEVOUS-12B-Mix_III_ex_V/c3b2bf18-d355-40fc-a862-376c1b988305.json b/data/hfopenllm_v2/bamec66557/MISCHIEVOUS-12B-Mix_III_ex_V/c3b2bf18-d355-40fc-a862-376c1b988305.json
new file mode 100644
index 000000000..33f7812de
--- /dev/null
+++ b/data/hfopenllm_v2/bamec66557/MISCHIEVOUS-12B-Mix_III_ex_V/c3b2bf18-d355-40fc-a862-376c1b988305.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/bamec66557_MISCHIEVOUS-12B-Mix_III_ex_V/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "MISCHIEVOUS-12B-Mix_III_ex_V",
+    "id": "bamec66557/MISCHIEVOUS-12B-Mix_III_ex_V",
+    "developer": "bamec66557",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 12.248
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4316
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5449
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1322
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3205
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4198
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3649
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/bamec66557/MISCHIEVOUS-12B-Mix_Neo/089a5215-70a4-4255-ac01-1b70d4e8a494.json b/data/hfopenllm_v2/bamec66557/MISCHIEVOUS-12B-Mix_Neo/089a5215-70a4-4255-ac01-1b70d4e8a494.json
deleted file mode 100644
index bc9d41009..000000000
--- a/data/hfopenllm_v2/bamec66557/MISCHIEVOUS-12B-Mix_Neo/089a5215-70a4-4255-ac01-1b70d4e8a494.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/bamec66557_MISCHIEVOUS-12B-Mix_Neo/1762652580.0258071",
-  "retrieved_timestamp": "1762652580.0258079",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "bamec66557/MISCHIEVOUS-12B-Mix_Neo",
-    "developer": "bamec66557",
-    "inference_platform": "unknown",
-    "id": "bamec66557/MISCHIEVOUS-12B-Mix_Neo",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 12.248
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
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diff --git a/data/hfopenllm_v2/bamec66557/MISCHIEVOUS-12B-Mix_Neo/79474be5-2587-4087-a2cc-1337e3b696dd.json b/data/hfopenllm_v2/bamec66557/MISCHIEVOUS-12B-Mix_Neo/79474be5-2587-4087-a2cc-1337e3b696dd.json
new file mode 100644
index 000000000..ab7a30fec
--- /dev/null
+++ b/data/hfopenllm_v2/bamec66557/MISCHIEVOUS-12B-Mix_Neo/79474be5-2587-4087-a2cc-1337e3b696dd.json
@@ -0,0 +1,132 @@
+{
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/bamec66557/MISCHIEVOUS-12B/22ff2700-70c0-459e-96a2-0ce1710947bc.json b/data/hfopenllm_v2/bamec66557/MISCHIEVOUS-12B/22ff2700-70c0-459e-96a2-0ce1710947bc.json
new file mode 100644
index 000000000..2f6482099
--- /dev/null
+++ b/data/hfopenllm_v2/bamec66557/MISCHIEVOUS-12B/22ff2700-70c0-459e-96a2-0ce1710947bc.json
@@ -0,0 +1,132 @@
+{
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/bamec66557/MISCHIEVOUS-12B/49ec948c-c06d-4c01-be83-9f74ed15ea17.json b/data/hfopenllm_v2/bamec66557/MISCHIEVOUS-12B/49ec948c-c06d-4c01-be83-9f74ed15ea17.json
deleted file mode 100644
index e567c456a..000000000
--- a/data/hfopenllm_v2/bamec66557/MISCHIEVOUS-12B/49ec948c-c06d-4c01-be83-9f74ed15ea17.json
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diff --git a/data/hfopenllm_v2/bamec66557/Mistral-Nemo-VICIOUS_MESH-12B-2407/7d3a47a3-83d3-4f51-ab72-6a2fa5b5ef80.json b/data/hfopenllm_v2/bamec66557/Mistral-Nemo-VICIOUS_MESH-12B-2407/7d3a47a3-83d3-4f51-ab72-6a2fa5b5ef80.json
new file mode 100644
index 000000000..d39a7d3db
--- /dev/null
+++ b/data/hfopenllm_v2/bamec66557/Mistral-Nemo-VICIOUS_MESH-12B-2407/7d3a47a3-83d3-4f51-ab72-6a2fa5b5ef80.json
@@ -0,0 +1,132 @@
+{
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+  "evaluation_id": "hfopenllm_v2/bamec66557_Mistral-Nemo-VICIOUS_MESH-12B-2407/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Mistral-Nemo-VICIOUS_MESH-12B-2407",
+    "id": "bamec66557/Mistral-Nemo-VICIOUS_MESH-12B-2407",
+    "developer": "bamec66557",
+    "inference_platform": "unknown",
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+        "hf_repo": "Idavidrein/gpqa"
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
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+        "evaluation_description": "Accuracy on MMLU-PRO",
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+        "max_score": 1.0
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/bamec66557/NameLess-12B-prob/69dc0f8e-16d7-4907-9741-484eafa62b8c.json b/data/hfopenllm_v2/bamec66557/NameLess-12B-prob/69dc0f8e-16d7-4907-9741-484eafa62b8c.json
new file mode 100644
index 000000000..e2704ecca
--- /dev/null
+++ b/data/hfopenllm_v2/bamec66557/NameLess-12B-prob/69dc0f8e-16d7-4907-9741-484eafa62b8c.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/bamec66557_NameLess-12B-prob/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
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+    "name": "NameLess-12B-prob",
+    "id": "bamec66557/NameLess-12B-prob",
+    "developer": "bamec66557",
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
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+        "score_type": "continuous",
+        "min_score": 0.0,
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+      },
+      "score_details": {
+        "score": 0.5158
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1261
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3146
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4336
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3684
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/bamec66557/NameLess-12B-prob/81670e41-16d6-43a6-9af9-6924a52a8300.json b/data/hfopenllm_v2/bamec66557/NameLess-12B-prob/81670e41-16d6-43a6-9af9-6924a52a8300.json
deleted file mode 100644
index 759931c01..000000000
--- a/data/hfopenllm_v2/bamec66557/NameLess-12B-prob/81670e41-16d6-43a6-9af9-6924a52a8300.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/bamec66557_NameLess-12B-prob/1762652580.026292",
-  "retrieved_timestamp": "1762652580.026293",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
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-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "bamec66557/NameLess-12B-prob",
-    "developer": "bamec66557",
-    "inference_platform": "unknown",
-    "id": "bamec66557/NameLess-12B-prob",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 12.248
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5158141019151304
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
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-        "score": 0.12613293051359517
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3145973154362416
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-    },
-    {
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-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.433625
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3684341755319149
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/bamec66557/VICIOUS_MESH-12B-0.1v/2d468a71-7364-40eb-8a98-1dbac956b3cf.json b/data/hfopenllm_v2/bamec66557/VICIOUS_MESH-12B-0.1v/2d468a71-7364-40eb-8a98-1dbac956b3cf.json
deleted file mode 100644
index 328e35f98..000000000
--- a/data/hfopenllm_v2/bamec66557/VICIOUS_MESH-12B-0.1v/2d468a71-7364-40eb-8a98-1dbac956b3cf.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/bamec66557_VICIOUS_MESH-12B-0.1v/1762652580.026718",
-  "retrieved_timestamp": "1762652580.026719",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "bamec66557/VICIOUS_MESH-12B-0.1v",
-    "developer": "bamec66557",
-    "inference_platform": "unknown",
-    "id": "bamec66557/VICIOUS_MESH-12B-0.1v",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 6.124
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.36574954454181574
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-    },
-    {
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-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-      "score_details": {
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-    },
-    {
-      "evaluation_name": "GPQA",
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.32466442953020136
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41582291666666665
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.36826795212765956
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/bamec66557/VICIOUS_MESH-12B-0.1v/e516abc1-9c3c-4921-a385-e2533d45fed3.json b/data/hfopenllm_v2/bamec66557/VICIOUS_MESH-12B-0.1v/e516abc1-9c3c-4921-a385-e2533d45fed3.json
new file mode 100644
index 000000000..6ba84e23e
--- /dev/null
+++ b/data/hfopenllm_v2/bamec66557/VICIOUS_MESH-12B-0.1v/e516abc1-9c3c-4921-a385-e2533d45fed3.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/bamec66557_VICIOUS_MESH-12B-0.1v/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "VICIOUS_MESH-12B-0.1v",
+    "id": "bamec66557/VICIOUS_MESH-12B-0.1v",
+    "developer": "bamec66557",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 6.124
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3657
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5412
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1322
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3247
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4158
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3683
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/bamec66557/VICIOUS_MESH-12B-0.X.ver/8baa5832-cc07-4a31-a815-0e8151426ea6.json b/data/hfopenllm_v2/bamec66557/VICIOUS_MESH-12B-0.X.ver/8baa5832-cc07-4a31-a815-0e8151426ea6.json
new file mode 100644
index 000000000..cd846c308
--- /dev/null
+++ b/data/hfopenllm_v2/bamec66557/VICIOUS_MESH-12B-0.X.ver/8baa5832-cc07-4a31-a815-0e8151426ea6.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/bamec66557_VICIOUS_MESH-12B-0.X.ver/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "VICIOUS_MESH-12B-0.X.ver",
+    "id": "bamec66557/VICIOUS_MESH-12B-0.X.ver",
+    "developer": "bamec66557",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 6.124
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3776
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5416
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1201
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3213
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4198
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3671
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/bamec66557/VICIOUS_MESH-12B-0.X.ver/d0c92f20-72d0-431c-b8ba-881b3a6ae158.json b/data/hfopenllm_v2/bamec66557/VICIOUS_MESH-12B-0.X.ver/d0c92f20-72d0-431c-b8ba-881b3a6ae158.json
deleted file mode 100644
index f919d6ab3..000000000
--- a/data/hfopenllm_v2/bamec66557/VICIOUS_MESH-12B-0.X.ver/d0c92f20-72d0-431c-b8ba-881b3a6ae158.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/bamec66557_VICIOUS_MESH-12B-0.X.ver/1762652580.0269299",
-  "retrieved_timestamp": "1762652580.0269299",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "bamec66557/VICIOUS_MESH-12B-0.X.ver",
-    "developer": "bamec66557",
-    "inference_platform": "unknown",
-    "id": "bamec66557/VICIOUS_MESH-12B-0.X.ver",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 6.124
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37756486123485683
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.541624689936422
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.12009063444108761
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diff --git a/data/hfopenllm_v2/bamec66557/VICIOUS_MESH-12B-ALPHA/0053cf6a-0e1e-49c5-8d0a-b3d7254e22f3.json b/data/hfopenllm_v2/bamec66557/VICIOUS_MESH-12B-ALPHA/0053cf6a-0e1e-49c5-8d0a-b3d7254e22f3.json
deleted file mode 100644
index 024c98055..000000000
--- a/data/hfopenllm_v2/bamec66557/VICIOUS_MESH-12B-ALPHA/0053cf6a-0e1e-49c5-8d0a-b3d7254e22f3.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "source_data": [
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
-    "name": "bamec66557/VICIOUS_MESH-12B-ALPHA",
-    "developer": "bamec66557",
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-    "id": "bamec66557/VICIOUS_MESH-12B-ALPHA",
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-    },
-    {
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-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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diff --git a/data/hfopenllm_v2/bamec66557/VICIOUS_MESH-12B-ALPHA/509fbca4-f405-4c27-85a9-1eea59025070.json b/data/hfopenllm_v2/bamec66557/VICIOUS_MESH-12B-ALPHA/509fbca4-f405-4c27-85a9-1eea59025070.json
new file mode 100644
index 000000000..98b8dfc2e
--- /dev/null
+++ b/data/hfopenllm_v2/bamec66557/VICIOUS_MESH-12B-ALPHA/509fbca4-f405-4c27-85a9-1eea59025070.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/bamec66557_VICIOUS_MESH-12B-ALPHA/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "VICIOUS_MESH-12B-ALPHA",
+    "id": "bamec66557/VICIOUS_MESH-12B-ALPHA",
+    "developer": "bamec66557",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 12.248
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6365
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5094
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
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+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3138
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4203
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3697
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/bamec66557/VICIOUS_MESH-12B-BETA/2f023511-2446-48f8-83e5-47225f15e905.json b/data/hfopenllm_v2/bamec66557/VICIOUS_MESH-12B-BETA/2f023511-2446-48f8-83e5-47225f15e905.json
deleted file mode 100644
index ce5b0bb48..000000000
--- a/data/hfopenllm_v2/bamec66557/VICIOUS_MESH-12B-BETA/2f023511-2446-48f8-83e5-47225f15e905.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "source_data": [
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-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
-    "name": "bamec66557/VICIOUS_MESH-12B-BETA",
-    "developer": "bamec66557",
-    "inference_platform": "unknown",
-    "id": "bamec66557/VICIOUS_MESH-12B-BETA",
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-        "score_type": "continuous",
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    }
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diff --git a/data/hfopenllm_v2/bamec66557/VICIOUS_MESH-12B-BETA/6f45ed56-6bec-4439-9adb-e79fcd74667c.json b/data/hfopenllm_v2/bamec66557/VICIOUS_MESH-12B-BETA/6f45ed56-6bec-4439-9adb-e79fcd74667c.json
new file mode 100644
index 000000000..5e63ad14b
--- /dev/null
+++ b/data/hfopenllm_v2/bamec66557/VICIOUS_MESH-12B-BETA/6f45ed56-6bec-4439-9adb-e79fcd74667c.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/bamec66557_VICIOUS_MESH-12B-BETA/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "VICIOUS_MESH-12B-BETA",
+    "id": "bamec66557/VICIOUS_MESH-12B-BETA",
+    "developer": "bamec66557",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 12.248
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6721
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5156
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1329
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3163
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.431
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3679
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/bamec66557/VICIOUS_MESH-12B-DELTA/512ff924-c1d3-4d75-a468-2bcdcda25cf6.json b/data/hfopenllm_v2/bamec66557/VICIOUS_MESH-12B-DELTA/512ff924-c1d3-4d75-a468-2bcdcda25cf6.json
new file mode 100644
index 000000000..d55e617b1
--- /dev/null
+++ b/data/hfopenllm_v2/bamec66557/VICIOUS_MESH-12B-DELTA/512ff924-c1d3-4d75-a468-2bcdcda25cf6.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/bamec66557_VICIOUS_MESH-12B-DELTA/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "VICIOUS_MESH-12B-DELTA",
+    "id": "bamec66557/VICIOUS_MESH-12B-DELTA",
+    "developer": "bamec66557",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 6.124
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6469
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5055
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1375
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3121
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4057
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3651
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/bamec66557/VICIOUS_MESH-12B-DELTA/fcaf0de1-f4f5-4bfb-8276-29b3b1f5b5be.json b/data/hfopenllm_v2/bamec66557/VICIOUS_MESH-12B-DELTA/fcaf0de1-f4f5-4bfb-8276-29b3b1f5b5be.json
deleted file mode 100644
index 85735df3c..000000000
--- a/data/hfopenllm_v2/bamec66557/VICIOUS_MESH-12B-DELTA/fcaf0de1-f4f5-4bfb-8276-29b3b1f5b5be.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/bamec66557_VICIOUS_MESH-12B-DELTA/1762652580.027563",
-  "retrieved_timestamp": "1762652580.027563",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "bamec66557/VICIOUS_MESH-12B-DELTA",
-    "developer": "bamec66557",
-    "inference_platform": "unknown",
-    "id": "bamec66557/VICIOUS_MESH-12B-DELTA",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 6.124
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6468924675416783
-      }
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-    {
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-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5055418480543742
-      }
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-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-      },
-      "score_details": {
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-    },
-    {
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-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.31208053691275167
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.40565625
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3651097074468085
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/bamec66557/VICIOUS_MESH-12B-DIGAMMA/67e74757-9950-499e-9258-7ccd20b29835.json b/data/hfopenllm_v2/bamec66557/VICIOUS_MESH-12B-DIGAMMA/67e74757-9950-499e-9258-7ccd20b29835.json
deleted file mode 100644
index 90ed5f93c..000000000
--- a/data/hfopenllm_v2/bamec66557/VICIOUS_MESH-12B-DIGAMMA/67e74757-9950-499e-9258-7ccd20b29835.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/bamec66557_VICIOUS_MESH-12B-DIGAMMA/1762652580.027769",
-  "retrieved_timestamp": "1762652580.02777",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "bamec66557/VICIOUS_MESH-12B-DIGAMMA",
-    "developer": "bamec66557",
-    "inference_platform": "unknown",
-    "id": "bamec66557/VICIOUS_MESH-12B-DIGAMMA",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 6.124
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6429207835210575
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.506116784464076
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1336858006042296
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.31291946308724833
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.40965625
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.36585771276595747
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/bamec66557/VICIOUS_MESH-12B-DIGAMMA/86b561ae-c4d3-4293-a884-bcab26df026d.json b/data/hfopenllm_v2/bamec66557/VICIOUS_MESH-12B-DIGAMMA/86b561ae-c4d3-4293-a884-bcab26df026d.json
new file mode 100644
index 000000000..33dd088e9
--- /dev/null
+++ b/data/hfopenllm_v2/bamec66557/VICIOUS_MESH-12B-DIGAMMA/86b561ae-c4d3-4293-a884-bcab26df026d.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/bamec66557_VICIOUS_MESH-12B-DIGAMMA/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "VICIOUS_MESH-12B-DIGAMMA",
+    "id": "bamec66557/VICIOUS_MESH-12B-DIGAMMA",
+    "developer": "bamec66557",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 6.124
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6429
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5061
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1337
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3129
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4097
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3659
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/bamec66557/VICIOUS_MESH-12B-EPSILON/38864e75-9bb0-4eaa-ba87-c631838a9ad1.json b/data/hfopenllm_v2/bamec66557/VICIOUS_MESH-12B-EPSILON/38864e75-9bb0-4eaa-ba87-c631838a9ad1.json
deleted file mode 100644
index 2f8d48c45..000000000
--- a/data/hfopenllm_v2/bamec66557/VICIOUS_MESH-12B-EPSILON/38864e75-9bb0-4eaa-ba87-c631838a9ad1.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/bamec66557_VICIOUS_MESH-12B-EPSILON/1762652580.0279832",
-  "retrieved_timestamp": "1762652580.0279832",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "bamec66557/VICIOUS_MESH-12B-EPSILON",
-    "developer": "bamec66557",
-    "inference_platform": "unknown",
-    "id": "bamec66557/VICIOUS_MESH-12B-EPSILON",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 6.124
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6304560787599126
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5037995611302296
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.12613293051359517
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3145973154362416
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4069895833333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.36477726063829785
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/bamec66557/VICIOUS_MESH-12B-EPSILON/516d1972-9731-4234-a4b3-b96423ebba5c.json b/data/hfopenllm_v2/bamec66557/VICIOUS_MESH-12B-EPSILON/516d1972-9731-4234-a4b3-b96423ebba5c.json
new file mode 100644
index 000000000..e7811c1a1
--- /dev/null
+++ b/data/hfopenllm_v2/bamec66557/VICIOUS_MESH-12B-EPSILON/516d1972-9731-4234-a4b3-b96423ebba5c.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/bamec66557_VICIOUS_MESH-12B-EPSILON/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "VICIOUS_MESH-12B-EPSILON",
+    "id": "bamec66557/VICIOUS_MESH-12B-EPSILON",
+    "developer": "bamec66557",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 6.124
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6305
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5038
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1261
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3146
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.407
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3648
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/bamec66557/VICIOUS_MESH-12B-GAMMA/274f6e02-c81f-4f2e-9747-e5de5cee1933.json b/data/hfopenllm_v2/bamec66557/VICIOUS_MESH-12B-GAMMA/274f6e02-c81f-4f2e-9747-e5de5cee1933.json
new file mode 100644
index 000000000..1e3744cbe
--- /dev/null
+++ b/data/hfopenllm_v2/bamec66557/VICIOUS_MESH-12B-GAMMA/274f6e02-c81f-4f2e-9747-e5de5cee1933.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/bamec66557_VICIOUS_MESH-12B-GAMMA/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "VICIOUS_MESH-12B-GAMMA",
+    "id": "bamec66557/VICIOUS_MESH-12B-GAMMA",
+    "developer": "bamec66557",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 12.248
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6362
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5182
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1307
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3138
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4363
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3666
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/bamec66557/VICIOUS_MESH-12B-GAMMA/4507a6c1-bfff-4e8d-92c6-7e923f74c4dc.json b/data/hfopenllm_v2/bamec66557/VICIOUS_MESH-12B-GAMMA/4507a6c1-bfff-4e8d-92c6-7e923f74c4dc.json
deleted file mode 100644
index d5782039e..000000000
--- a/data/hfopenllm_v2/bamec66557/VICIOUS_MESH-12B-GAMMA/4507a6c1-bfff-4e8d-92c6-7e923f74c4dc.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/bamec66557_VICIOUS_MESH-12B-GAMMA/1762652580.028181",
-  "retrieved_timestamp": "1762652580.028182",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "bamec66557/VICIOUS_MESH-12B-GAMMA",
-    "developer": "bamec66557",
-    "inference_platform": "unknown",
-    "id": "bamec66557/VICIOUS_MESH-12B-GAMMA",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 12.248
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6361764562472019
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5181908355069679
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.13066465256797583
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.313758389261745
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.43632291666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3666057180851064
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/bamec66557/VICIOUS_MESH-12B-NEMO/61638b55-296b-40fd-a39f-cc2276d9f94a.json b/data/hfopenllm_v2/bamec66557/VICIOUS_MESH-12B-NEMO/61638b55-296b-40fd-a39f-cc2276d9f94a.json
new file mode 100644
index 000000000..07670d514
--- /dev/null
+++ b/data/hfopenllm_v2/bamec66557/VICIOUS_MESH-12B-NEMO/61638b55-296b-40fd-a39f-cc2276d9f94a.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/bamec66557_VICIOUS_MESH-12B-NEMO/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "VICIOUS_MESH-12B-NEMO",
+    "id": "bamec66557/VICIOUS_MESH-12B-NEMO",
+    "developer": "bamec66557",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 12.248
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4022
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5442
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1269
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3238
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4251
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3716
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/bamec66557/VICIOUS_MESH-12B-NEMO/6a9c649c-fbcd-489a-bc01-083014932a45.json b/data/hfopenllm_v2/bamec66557/VICIOUS_MESH-12B-NEMO/6a9c649c-fbcd-489a-bc01-083014932a45.json
deleted file mode 100644
index 0600e8193..000000000
--- a/data/hfopenllm_v2/bamec66557/VICIOUS_MESH-12B-NEMO/6a9c649c-fbcd-489a-bc01-083014932a45.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/bamec66557_VICIOUS_MESH-12B-NEMO/1762652580.028384",
-  "retrieved_timestamp": "1762652580.028385",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "bamec66557/VICIOUS_MESH-12B-NEMO",
-    "developer": "bamec66557",
-    "inference_platform": "unknown",
-    "id": "bamec66557/VICIOUS_MESH-12B-NEMO",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 12.248
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.40221944440750546
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5441680901949261
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1268882175226586
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3238255033557047
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42506249999999995
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37159242021276595
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/bamec66557/VICIOUS_MESH-12B-OMEGA/11c1b6fe-4815-415b-a4a8-d14073df6ee1.json b/data/hfopenllm_v2/bamec66557/VICIOUS_MESH-12B-OMEGA/11c1b6fe-4815-415b-a4a8-d14073df6ee1.json
new file mode 100644
index 000000000..6ef877a1b
--- /dev/null
+++ b/data/hfopenllm_v2/bamec66557/VICIOUS_MESH-12B-OMEGA/11c1b6fe-4815-415b-a4a8-d14073df6ee1.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/bamec66557_VICIOUS_MESH-12B-OMEGA/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "VICIOUS_MESH-12B-OMEGA",
+    "id": "bamec66557/VICIOUS_MESH-12B-OMEGA",
+    "developer": "bamec66557",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 12.248
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.67
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5166
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1344
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3154
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4323
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3677
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/bamec66557/VICIOUS_MESH-12B-OMEGA/a630e843-ec9c-432b-986a-2b181c789507.json b/data/hfopenllm_v2/bamec66557/VICIOUS_MESH-12B-OMEGA/a630e843-ec9c-432b-986a-2b181c789507.json
deleted file mode 100644
index ce1decaec..000000000
--- a/data/hfopenllm_v2/bamec66557/VICIOUS_MESH-12B-OMEGA/a630e843-ec9c-432b-986a-2b181c789507.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/bamec66557_VICIOUS_MESH-12B-OMEGA/1762652580.028594",
-  "retrieved_timestamp": "1762652580.028594",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
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-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
-    "name": "bamec66557/VICIOUS_MESH-12B-OMEGA",
-    "developer": "bamec66557",
-    "inference_platform": "unknown",
-    "id": "bamec66557/VICIOUS_MESH-12B-OMEGA",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 12.248
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6699734482284783
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.516644373777888
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.13444108761329304
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.31543624161073824
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.36768617021276595
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/bamec66557/VICIOUS_MESH-12B-UNION/20d0e946-e7cf-48a6-a81e-f73d774e0e2b.json b/data/hfopenllm_v2/bamec66557/VICIOUS_MESH-12B-UNION/20d0e946-e7cf-48a6-a81e-f73d774e0e2b.json
deleted file mode 100644
index 204fcf307..000000000
--- a/data/hfopenllm_v2/bamec66557/VICIOUS_MESH-12B-UNION/20d0e946-e7cf-48a6-a81e-f73d774e0e2b.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/bamec66557_VICIOUS_MESH-12B-UNION/1762652580.028806",
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-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
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-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "bamec66557/VICIOUS_MESH-12B-UNION",
-    "developer": "bamec66557",
-    "inference_platform": "unknown",
-    "id": "bamec66557/VICIOUS_MESH-12B-UNION",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 6.124
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6428709158366468
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-    },
-    {
-      "evaluation_name": "BBH",
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5106643448765741
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.13897280966767372
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.31208053691275167
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4256875
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3671875
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/bamec66557/VICIOUS_MESH-12B-UNION/88e2cb24-288e-4f37-8753-f0daa825051c.json b/data/hfopenllm_v2/bamec66557/VICIOUS_MESH-12B-UNION/88e2cb24-288e-4f37-8753-f0daa825051c.json
new file mode 100644
index 000000000..149e4a3b1
--- /dev/null
+++ b/data/hfopenllm_v2/bamec66557/VICIOUS_MESH-12B-UNION/88e2cb24-288e-4f37-8753-f0daa825051c.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/bamec66557_VICIOUS_MESH-12B-UNION/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "VICIOUS_MESH-12B-UNION",
+    "id": "bamec66557/VICIOUS_MESH-12B-UNION",
+    "developer": "bamec66557",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 6.124
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6429
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5107
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.139
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3121
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4257
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3672
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/bamec66557/VICIOUS_MESH-12B/8a1a6c44-17fd-402e-a22e-e795a1f612e3.json b/data/hfopenllm_v2/bamec66557/VICIOUS_MESH-12B/8a1a6c44-17fd-402e-a22e-e795a1f612e3.json
new file mode 100644
index 000000000..d0b02080e
--- /dev/null
+++ b/data/hfopenllm_v2/bamec66557/VICIOUS_MESH-12B/8a1a6c44-17fd-402e-a22e-e795a1f612e3.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/bamec66557_VICIOUS_MESH-12B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "VICIOUS_MESH-12B",
+    "id": "bamec66557/VICIOUS_MESH-12B",
+    "developer": "bamec66557",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 6.124
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3716
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5436
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1344
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.328
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4105
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3679
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/bamec66557/VICIOUS_MESH-12B/f2ef86c9-e968-42e0-a0d0-1cf79f9c249b.json b/data/hfopenllm_v2/bamec66557/VICIOUS_MESH-12B/f2ef86c9-e968-42e0-a0d0-1cf79f9c249b.json
deleted file mode 100644
index 3bc9f9400..000000000
--- a/data/hfopenllm_v2/bamec66557/VICIOUS_MESH-12B/f2ef86c9-e968-42e0-a0d0-1cf79f9c249b.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/bamec66557_VICIOUS_MESH-12B/1762652580.026504",
-  "retrieved_timestamp": "1762652580.026504",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "bamec66557/VICIOUS_MESH-12B",
-    "developer": "bamec66557",
-    "inference_platform": "unknown",
-    "id": "bamec66557/VICIOUS_MESH-12B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 6.124
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37156965739792636
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5436022524587655
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.13444108761329304
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.32802013422818793
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4104895833333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.36785239361702127
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/bamec66557/VICIOUS_MESH-12B_Razor/1121af0b-61fe-424a-bc66-3164bcb1d833.json b/data/hfopenllm_v2/bamec66557/VICIOUS_MESH-12B_Razor/1121af0b-61fe-424a-bc66-3164bcb1d833.json
new file mode 100644
index 000000000..c043f1c67
--- /dev/null
+++ b/data/hfopenllm_v2/bamec66557/VICIOUS_MESH-12B_Razor/1121af0b-61fe-424a-bc66-3164bcb1d833.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/bamec66557_VICIOUS_MESH-12B_Razor/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "VICIOUS_MESH-12B_Razor",
+    "id": "bamec66557/VICIOUS_MESH-12B_Razor",
+    "developer": "bamec66557",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 6.124
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3736
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5447
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1299
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.323
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4092
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3669
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/bamec66557/VICIOUS_MESH-12B_Razor/950f6bff-e0ec-4556-85b7-81444008d1d4.json b/data/hfopenllm_v2/bamec66557/VICIOUS_MESH-12B_Razor/950f6bff-e0ec-4556-85b7-81444008d1d4.json
deleted file mode 100644
index 50722d1b7..000000000
--- a/data/hfopenllm_v2/bamec66557/VICIOUS_MESH-12B_Razor/950f6bff-e0ec-4556-85b7-81444008d1d4.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/bamec66557_VICIOUS_MESH-12B_Razor/1762652580.029016",
-  "retrieved_timestamp": "1762652580.029016",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "bamec66557/VICIOUS_MESH-12B_Razor",
-    "developer": "bamec66557",
-    "inference_platform": "unknown",
-    "id": "bamec66557/VICIOUS_MESH-12B_Razor",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 6.124
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37364304489864675
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5447127693928118
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1299093655589124
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.32298657718120805
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.40915624999999994
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.36685505319148937
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/bamec66557/mergekit-model_stock-zdaysvi/35300d67-7ee1-4874-b351-87f46267cec9.json b/data/hfopenllm_v2/bamec66557/mergekit-model_stock-zdaysvi/35300d67-7ee1-4874-b351-87f46267cec9.json
new file mode 100644
index 000000000..ddc69cf5a
--- /dev/null
+++ b/data/hfopenllm_v2/bamec66557/mergekit-model_stock-zdaysvi/35300d67-7ee1-4874-b351-87f46267cec9.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/bamec66557_mergekit-model_stock-zdaysvi/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "mergekit-model_stock-zdaysvi",
+    "id": "bamec66557/mergekit-model_stock-zdaysvi",
+    "developer": "bamec66557",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 6.124
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6426
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5063
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1352
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3138
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4124
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3688
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/bamec66557/mergekit-model_stock-zdaysvi/8932da66-d29a-4453-9b61-bee48f1a28f1.json b/data/hfopenllm_v2/bamec66557/mergekit-model_stock-zdaysvi/8932da66-d29a-4453-9b61-bee48f1a28f1.json
deleted file mode 100644
index fa58397d8..000000000
--- a/data/hfopenllm_v2/bamec66557/mergekit-model_stock-zdaysvi/8932da66-d29a-4453-9b61-bee48f1a28f1.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/bamec66557_mergekit-model_stock-zdaysvi/1762652580.029272",
-  "retrieved_timestamp": "1762652580.029272",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "bamec66557/mergekit-model_stock-zdaysvi",
-    "developer": "bamec66557",
-    "inference_platform": "unknown",
-    "id": "bamec66557/mergekit-model_stock-zdaysvi",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 6.124
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6425960894870055
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5062803896601668
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1351963746223565
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.313758389261745
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41238541666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.36884973404255317
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/bamec66557/mergekit-ties-sinbkow/6180b7b3-4b21-42aa-a62d-084a91568b43.json b/data/hfopenllm_v2/bamec66557/mergekit-ties-sinbkow/6180b7b3-4b21-42aa-a62d-084a91568b43.json
new file mode 100644
index 000000000..f59ec5045
--- /dev/null
+++ b/data/hfopenllm_v2/bamec66557/mergekit-ties-sinbkow/6180b7b3-4b21-42aa-a62d-084a91568b43.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/bamec66557_mergekit-ties-sinbkow/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "mergekit-ties-sinbkow",
+    "id": "bamec66557/mergekit-ties-sinbkow",
+    "developer": "bamec66557",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 6.124
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6432
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5092
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.145
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3196
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4045
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3603
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/bamec66557/mergekit-ties-sinbkow/b8c00b3b-c35a-4511-965b-6096e9b116de.json b/data/hfopenllm_v2/bamec66557/mergekit-ties-sinbkow/b8c00b3b-c35a-4511-965b-6096e9b116de.json
deleted file mode 100644
index 43b45d83a..000000000
--- a/data/hfopenllm_v2/bamec66557/mergekit-ties-sinbkow/b8c00b3b-c35a-4511-965b-6096e9b116de.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/bamec66557_mergekit-ties-sinbkow/1762652580.029482",
-  "retrieved_timestamp": "1762652580.029482",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "bamec66557/mergekit-ties-sinbkow",
-    "developer": "bamec66557",
-    "inference_platform": "unknown",
-    "id": "bamec66557/mergekit-ties-sinbkow",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 6.124
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
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-        "min_score": 0,
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-}
diff --git a/data/hfopenllm_v2/belztjti/dffghgjh/7414d344-0e67-424a-9e16-00de0487ce02.json b/data/hfopenllm_v2/belztjti/dffghgjh/7414d344-0e67-424a-9e16-00de0487ce02.json
new file mode 100644
index 000000000..007ff11a3
--- /dev/null
+++ b/data/hfopenllm_v2/belztjti/dffghgjh/7414d344-0e67-424a-9e16-00de0487ce02.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/belztjti_dffghgjh/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "dffghgjh",
+    "id": "belztjti/dffghgjh",
+    "developer": "belztjti",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "GlmForCausalLM",
+      "params_billions": 9.543
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5784
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3582
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0234
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2634
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3475
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3422
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/belztjti/dffghgjh/82b3c9ac-16bb-4fd0-8bed-af1ac598a424.json b/data/hfopenllm_v2/belztjti/dffghgjh/82b3c9ac-16bb-4fd0-8bed-af1ac598a424.json
deleted file mode 100644
index afd242bf2..000000000
--- a/data/hfopenllm_v2/belztjti/dffghgjh/82b3c9ac-16bb-4fd0-8bed-af1ac598a424.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/belztjti_dffghgjh/1762652580.0296938",
-  "retrieved_timestamp": "1762652580.029695",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
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-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "belztjti/dffghgjh",
-    "developer": "belztjti",
-    "inference_platform": "unknown",
-    "id": "belztjti/dffghgjh",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "GlmForCausalLM",
-      "params_billions": 9.543
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-        "score_type": "continuous",
-        "min_score": 0,
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-      },
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-    },
-    {
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-        "lower_is_better": false,
-        "score_type": "continuous",
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-        "lower_is_better": false,
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-    },
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3421708776595745
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/belztjti/dtfgv/655ea5ea-d94a-43eb-a4bf-182fd021d65a.json b/data/hfopenllm_v2/belztjti/dtfgv/655ea5ea-d94a-43eb-a4bf-182fd021d65a.json
deleted file mode 100644
index 2ee88fd49..000000000
--- a/data/hfopenllm_v2/belztjti/dtfgv/655ea5ea-d94a-43eb-a4bf-182fd021d65a.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/belztjti_dtfgv/1762652580.029931",
-  "retrieved_timestamp": "1762652580.029932",
-  "source_data": [
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-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "belztjti/dtfgv",
-    "developer": "belztjti",
-    "inference_platform": "unknown",
-    "id": "belztjti/dtfgv",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 9.543
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
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-        "max_score": 1
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-        "lower_is_better": false,
-        "score_type": "continuous",
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-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/belztjti/dtfgv/f5fcd407-080c-4cb7-a299-7a7f919c734d.json b/data/hfopenllm_v2/belztjti/dtfgv/f5fcd407-080c-4cb7-a299-7a7f919c734d.json
new file mode 100644
index 000000000..05d2c4ee6
--- /dev/null
+++ b/data/hfopenllm_v2/belztjti/dtfgv/f5fcd407-080c-4cb7-a299-7a7f919c734d.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/belztjti_dtfgv/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "dtfgv",
+    "id": "belztjti/dtfgv",
+    "developer": "belztjti",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 9.543
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3345
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+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3282
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0181
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2693
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3794
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+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1504
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/benhaotang/phi4-qwq-sky-t1/efe03731-6021-4dcf-b7fe-24cbf2d60fac.json b/data/hfopenllm_v2/benhaotang/phi4-qwq-sky-t1/efe03731-6021-4dcf-b7fe-24cbf2d60fac.json
new file mode 100644
index 000000000..4a2fac32d
--- /dev/null
+++ b/data/hfopenllm_v2/benhaotang/phi4-qwq-sky-t1/efe03731-6021-4dcf-b7fe-24cbf2d60fac.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/benhaotang_phi4-qwq-sky-t1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "phi4-qwq-sky-t1",
+    "id": "benhaotang/phi4-qwq-sky-t1",
+    "developer": "benhaotang",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 14.66
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.046
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+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6711
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4101
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+    },
+    {
+      "evaluation_name": "GPQA",
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3951
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.49
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5244
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/beomi/gemma-mling-7b/6ffed624-cc22-4b62-a447-3c02b0e43ded.json b/data/hfopenllm_v2/beomi/gemma-mling-7b/6ffed624-cc22-4b62-a447-3c02b0e43ded.json
new file mode 100644
index 000000000..dda19f01b
--- /dev/null
+++ b/data/hfopenllm_v2/beomi/gemma-mling-7b/6ffed624-cc22-4b62-a447-3c02b0e43ded.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/beomi_gemma-mling-7b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "gemma-mling-7b",
+    "id": "beomi/gemma-mling-7b",
+    "developer": "beomi",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "GemmaForCausalLM",
+      "params_billions": 8.538
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2029
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4068
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0544
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.25
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3759
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2633
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/beowolx/CodeNinja-1.0-OpenChat-7B/ed867fa8-be8a-49b0-8c94-38085808b58b.json b/data/hfopenllm_v2/beowolx/CodeNinja-1.0-OpenChat-7B/ed867fa8-be8a-49b0-8c94-38085808b58b.json
new file mode 100644
index 000000000..4c755301d
--- /dev/null
+++ b/data/hfopenllm_v2/beowolx/CodeNinja-1.0-OpenChat-7B/ed867fa8-be8a-49b0-8c94-38085808b58b.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/beowolx_CodeNinja-1.0-OpenChat-7B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "CodeNinja-1.0-OpenChat-7B",
+    "id": "beowolx/CodeNinja-1.0-OpenChat-7B",
+    "developer": "beowolx",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5447
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4441
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0672
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2945
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4243
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3015
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/beowolx/CodeNinja-1.0-OpenChat-7B/fbe7d86c-8d1e-474a-bf85-35a139bdb08f.json b/data/hfopenllm_v2/beowolx/CodeNinja-1.0-OpenChat-7B/fbe7d86c-8d1e-474a-bf85-35a139bdb08f.json
deleted file mode 100644
index 52408be9c..000000000
--- a/data/hfopenllm_v2/beowolx/CodeNinja-1.0-OpenChat-7B/fbe7d86c-8d1e-474a-bf85-35a139bdb08f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/beowolx_CodeNinja-1.0-OpenChat-7B/1762652580.030703",
-  "retrieved_timestamp": "1762652580.030704",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "beowolx/CodeNinja-1.0-OpenChat-7B",
-    "developer": "beowolx",
-    "inference_platform": "unknown",
-    "id": "beowolx/CodeNinja-1.0-OpenChat-7B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5446770125489258
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4441338669403703
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.06722054380664652
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.29446308724832215
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42432291666666666
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3015292553191489
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/berkeley-nest/Starling-LM-7B-alpha/c8b9a56b-0933-4085-8d5f-a1d8294699db.json b/data/hfopenllm_v2/berkeley-nest/Starling-LM-7B-alpha/c8b9a56b-0933-4085-8d5f-a1d8294699db.json
new file mode 100644
index 000000000..59ff6b3cf
--- /dev/null
+++ b/data/hfopenllm_v2/berkeley-nest/Starling-LM-7B-alpha/c8b9a56b-0933-4085-8d5f-a1d8294699db.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/berkeley-nest_Starling-LM-7B-alpha/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Starling-LM-7B-alpha",
+    "id": "berkeley-nest/Starling-LM-7B-alpha",
+    "developer": "berkeley-nest",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.548
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.444
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0838
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.297
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.412
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3172
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/berkeley-nest/Starling-LM-7B-alpha/ddc116b6-5b9a-409f-a0ab-09e5630d1289.json b/data/hfopenllm_v2/berkeley-nest/Starling-LM-7B-alpha/ddc116b6-5b9a-409f-a0ab-09e5630d1289.json
deleted file mode 100644
index bb3950e98..000000000
--- a/data/hfopenllm_v2/berkeley-nest/Starling-LM-7B-alpha/ddc116b6-5b9a-409f-a0ab-09e5630d1289.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/berkeley-nest_Starling-LM-7B-alpha/1762652580.030957",
-  "retrieved_timestamp": "1762652580.0309582",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "berkeley-nest/Starling-LM-7B-alpha",
-    "developer": "berkeley-nest",
-    "inference_platform": "unknown",
-    "id": "berkeley-nest/Starling-LM-7B-alpha",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5480491761858536
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4440065261164004
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.08383685800604229
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.29697986577181207
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41201041666666666
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3171542553191489
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/bfuzzy1/Gunny/9b178661-ed9a-427d-b93c-b905b8089ad8.json b/data/hfopenllm_v2/bfuzzy1/Gunny/9b178661-ed9a-427d-b93c-b905b8089ad8.json
new file mode 100644
index 000000000..c2995af50
--- /dev/null
+++ b/data/hfopenllm_v2/bfuzzy1/Gunny/9b178661-ed9a-427d-b93c-b905b8089ad8.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/bfuzzy1_Gunny/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Gunny",
+    "id": "bfuzzy1/Gunny",
+    "developer": "bfuzzy1",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 3.213
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7129
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4546
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.173
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2785
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3583
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3039
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/bfuzzy1/Gunny/e7d0c3d5-d962-49b5-a4b7-3cb7ac12735c.json b/data/hfopenllm_v2/bfuzzy1/Gunny/e7d0c3d5-d962-49b5-a4b7-3cb7ac12735c.json
deleted file mode 100644
index 2b7d1c92c..000000000
--- a/data/hfopenllm_v2/bfuzzy1/Gunny/e7d0c3d5-d962-49b5-a4b7-3cb7ac12735c.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/bfuzzy1_Gunny/1762652580.031208",
-  "retrieved_timestamp": "1762652580.031209",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "bfuzzy1/Gunny",
-    "developer": "bfuzzy1",
-    "inference_platform": "unknown",
-    "id": "bfuzzy1/Gunny",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 3.213
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7128629813339716
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.45459857092962414
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1729607250755287
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2785234899328859
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.35828124999999994
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3038563829787234
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/bfuzzy1/acheron-c/69588e07-7559-49c2-9423-19fd143e42f7.json b/data/hfopenllm_v2/bfuzzy1/acheron-c/69588e07-7559-49c2-9423-19fd143e42f7.json
new file mode 100644
index 000000000..ca1f71360
--- /dev/null
+++ b/data/hfopenllm_v2/bfuzzy1/acheron-c/69588e07-7559-49c2-9423-19fd143e42f7.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/bfuzzy1_acheron-c/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "acheron-c",
+    "id": "bfuzzy1/acheron-c",
+    "developer": "bfuzzy1",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 0.514
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1929
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3026
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.003
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2475
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3382
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1172
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/bfuzzy1/acheron-c/71268c77-565a-401b-a51d-122060ed5945.json b/data/hfopenllm_v2/bfuzzy1/acheron-c/71268c77-565a-401b-a51d-122060ed5945.json
deleted file mode 100644
index bbc823413..000000000
--- a/data/hfopenllm_v2/bfuzzy1/acheron-c/71268c77-565a-401b-a51d-122060ed5945.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/bfuzzy1_acheron-c/1762652580.031654",
-  "retrieved_timestamp": "1762652580.0316548",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "bfuzzy1/acheron-c",
-    "developer": "bfuzzy1",
-    "inference_platform": "unknown",
-    "id": "bfuzzy1/acheron-c",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 0.514
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.19286714805604685
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30260703404313577
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.0030211480362537764
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.24748322147651006
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.33821875
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1171875
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/bfuzzy1/acheron-d/1c9ba45f-1f3b-42ad-a603-ea7039fee22e.json b/data/hfopenllm_v2/bfuzzy1/acheron-d/1c9ba45f-1f3b-42ad-a603-ea7039fee22e.json
deleted file mode 100644
index 9e087ae36..000000000
--- a/data/hfopenllm_v2/bfuzzy1/acheron-d/1c9ba45f-1f3b-42ad-a603-ea7039fee22e.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/bfuzzy1_acheron-d/1762652580.031856",
-  "retrieved_timestamp": "1762652580.031857",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "bfuzzy1/acheron-d",
-    "developer": "bfuzzy1",
-    "inference_platform": "unknown",
-    "id": "bfuzzy1/acheron-d",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 0.514
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.192542454021995
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3139959864926003
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.015105740181268883
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.23657718120805368
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.34971875
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11344747340425532
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/bfuzzy1/acheron-d/317589da-d673-4f90-93e9-59983f2ef54b.json b/data/hfopenllm_v2/bfuzzy1/acheron-d/317589da-d673-4f90-93e9-59983f2ef54b.json
new file mode 100644
index 000000000..e74d10763
--- /dev/null
+++ b/data/hfopenllm_v2/bfuzzy1/acheron-d/317589da-d673-4f90-93e9-59983f2ef54b.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/bfuzzy1_acheron-d/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "acheron-d",
+    "id": "bfuzzy1/acheron-d",
+    "developer": "bfuzzy1",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 0.514
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1925
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.314
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0151
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2366
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3497
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1134
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/bfuzzy1/acheron-m/efab322e-ea15-4fe7-9bfc-15246003e59c.json b/data/hfopenllm_v2/bfuzzy1/acheron-m/efab322e-ea15-4fe7-9bfc-15246003e59c.json
new file mode 100644
index 000000000..21c3ead2f
--- /dev/null
+++ b/data/hfopenllm_v2/bfuzzy1/acheron-m/efab322e-ea15-4fe7-9bfc-15246003e59c.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/bfuzzy1_acheron-m/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "acheron-m",
+    "id": "bfuzzy1/acheron-m",
+    "developer": "bfuzzy1",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 0.514
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1758
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2928
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0091
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2601
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3487
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1113
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/bfuzzy1/acheron-m/fdd707f8-df0b-4384-bc77-35f3fa8ec0a0.json b/data/hfopenllm_v2/bfuzzy1/acheron-m/fdd707f8-df0b-4384-bc77-35f3fa8ec0a0.json
deleted file mode 100644
index 6ab1a43f2..000000000
--- a/data/hfopenllm_v2/bfuzzy1/acheron-m/fdd707f8-df0b-4384-bc77-35f3fa8ec0a0.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/bfuzzy1_acheron-m/1762652580.032056",
-  "retrieved_timestamp": "1762652580.032057",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "bfuzzy1/acheron-m",
-    "developer": "bfuzzy1",
-    "inference_platform": "unknown",
-    "id": "bfuzzy1/acheron-m",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 0.514
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.17583123889058808
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.29284447696551025
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.00906344410876133
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2600671140939597
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3486666666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11128656914893617
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/bfuzzy1/acheron-m1a-llama/b1eac68e-b292-414b-9594-c921f8e10818.json b/data/hfopenllm_v2/bfuzzy1/acheron-m1a-llama/b1eac68e-b292-414b-9594-c921f8e10818.json
new file mode 100644
index 000000000..a0d0cda28
--- /dev/null
+++ b/data/hfopenllm_v2/bfuzzy1/acheron-m1a-llama/b1eac68e-b292-414b-9594-c921f8e10818.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/bfuzzy1_acheron-m1a-llama/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "acheron-m1a-llama",
+    "id": "bfuzzy1/acheron-m1a-llama",
+    "developer": "bfuzzy1",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 0.514
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1125
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2956
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0076
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2601
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3633
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1146
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/bfuzzy1/acheron/2b74949a-c0a3-4061-8cf4-4330850af288.json b/data/hfopenllm_v2/bfuzzy1/acheron/2b74949a-c0a3-4061-8cf4-4330850af288.json
deleted file mode 100644
index 5fa882098..000000000
--- a/data/hfopenllm_v2/bfuzzy1/acheron/2b74949a-c0a3-4061-8cf4-4330850af288.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/bfuzzy1_acheron/1762652580.031447",
-  "retrieved_timestamp": "1762652580.031447",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "bfuzzy1/acheron",
-    "developer": "bfuzzy1",
-    "inference_platform": "unknown",
-    "id": "bfuzzy1/acheron",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 0.514
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.19831269919369493
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3107918622526179
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.01661631419939577
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.23909395973154363
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3510520833333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.10962433510638298
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/bfuzzy1/acheron/b7d08c65-8219-4067-9504-99e438a86038.json b/data/hfopenllm_v2/bfuzzy1/acheron/b7d08c65-8219-4067-9504-99e438a86038.json
new file mode 100644
index 000000000..599c0add4
--- /dev/null
+++ b/data/hfopenllm_v2/bfuzzy1/acheron/b7d08c65-8219-4067-9504-99e438a86038.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/bfuzzy1_acheron/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "acheron",
+    "id": "bfuzzy1/acheron",
+    "developer": "bfuzzy1",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 0.514
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1983
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3108
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0166
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2391
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3511
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1096
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/bfuzzy1/llambses-1/3f04797b-fe6d-4cd5-a49e-b898a8db26a6.json b/data/hfopenllm_v2/bfuzzy1/llambses-1/3f04797b-fe6d-4cd5-a49e-b898a8db26a6.json
deleted file mode 100644
index b4bdfb79f..000000000
--- a/data/hfopenllm_v2/bfuzzy1/llambses-1/3f04797b-fe6d-4cd5-a49e-b898a8db26a6.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/bfuzzy1_llambses-1/1762652580.032492",
-  "retrieved_timestamp": "1762652580.032493",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "bfuzzy1/llambses-1",
-    "developer": "bfuzzy1",
-    "inference_platform": "unknown",
-    "id": "bfuzzy1/llambses-1",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3553837152089788
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5046977405175623
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.06873111782477341
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2978187919463087
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.45290625
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.31399601063829785
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/bfuzzy1/llambses-1/e9c5b479-0dce-4de3-84d6-90c7515337f1.json b/data/hfopenllm_v2/bfuzzy1/llambses-1/e9c5b479-0dce-4de3-84d6-90c7515337f1.json
new file mode 100644
index 000000000..f8f06d954
--- /dev/null
+++ b/data/hfopenllm_v2/bfuzzy1/llambses-1/e9c5b479-0dce-4de3-84d6-90c7515337f1.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/bfuzzy1_llambses-1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "llambses-1",
+    "id": "bfuzzy1/llambses-1",
+    "developer": "bfuzzy1",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3554
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5047
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0687
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2978
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4529
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.314
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/bhuvneshsaini/merged_model/3c766465-29db-4b3d-b42f-a3222b38a096.json b/data/hfopenllm_v2/bhuvneshsaini/merged_model/3c766465-29db-4b3d-b42f-a3222b38a096.json
new file mode 100644
index 000000000..477afd11a
--- /dev/null
+++ b/data/hfopenllm_v2/bhuvneshsaini/merged_model/3c766465-29db-4b3d-b42f-a3222b38a096.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/bhuvneshsaini_merged_model/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "merged_model",
+    "id": "bhuvneshsaini/merged_model",
+    "developer": "bhuvneshsaini",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 4.715
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1813
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.336
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.25
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3497
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1445
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/bhuvneshsaini/merged_model/44e6cddd-4ecc-499f-a6b7-d8ee0640c2f9.json b/data/hfopenllm_v2/bhuvneshsaini/merged_model/44e6cddd-4ecc-499f-a6b7-d8ee0640c2f9.json
deleted file mode 100644
index fa51f7bcc..000000000
--- a/data/hfopenllm_v2/bhuvneshsaini/merged_model/44e6cddd-4ecc-499f-a6b7-d8ee0640c2f9.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/bhuvneshsaini_merged_model/1762652580.032705",
-  "retrieved_timestamp": "1762652580.032706",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "bhuvneshsaini/merged_model",
-    "developer": "bhuvneshsaini",
-    "inference_platform": "unknown",
-    "id": "bhuvneshsaini/merged_model",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 4.715
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1812767900282362
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3359777949071243
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.0
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.25
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.34971875
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.14453125
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/bigcode/starcoder2-15b/09aa04cf-9369-453f-952a-2f6c74e4707a.json b/data/hfopenllm_v2/bigcode/starcoder2-15b/09aa04cf-9369-453f-952a-2f6c74e4707a.json
deleted file mode 100644
index 1a8d5448b..000000000
--- a/data/hfopenllm_v2/bigcode/starcoder2-15b/09aa04cf-9369-453f-952a-2f6c74e4707a.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/bigcode_starcoder2-15b/1762652580.032956",
-  "retrieved_timestamp": "1762652580.0329568",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "bigcode/starcoder2-15b",
-    "developer": "bigcode",
-    "inference_platform": "unknown",
-    "id": "bigcode/starcoder2-15b",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Starcoder2ForCausalLM",
-      "params_billions": 15.958
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2780223141265177
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4447957841230437
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.05966767371601209
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.27348993288590606
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.35009375000000004
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.23528922872340424
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/bigcode/starcoder2-15b/e6c85677-61ed-475b-85a5-48b91ec76bcf.json b/data/hfopenllm_v2/bigcode/starcoder2-15b/e6c85677-61ed-475b-85a5-48b91ec76bcf.json
new file mode 100644
index 000000000..9a0162bcf
--- /dev/null
+++ b/data/hfopenllm_v2/bigcode/starcoder2-15b/e6c85677-61ed-475b-85a5-48b91ec76bcf.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/bigcode_starcoder2-15b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "starcoder2-15b",
+    "id": "bigcode/starcoder2-15b",
+    "developer": "bigcode",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Starcoder2ForCausalLM",
+      "params_billions": 15.958
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.278
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4448
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0597
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2735
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3501
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2353
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/bigcode/starcoder2-3b/7385c595-5b4f-4491-8e71-ece57ffffbd2.json b/data/hfopenllm_v2/bigcode/starcoder2-3b/7385c595-5b4f-4491-8e71-ece57ffffbd2.json
deleted file mode 100644
index 690c3f5b4..000000000
--- a/data/hfopenllm_v2/bigcode/starcoder2-3b/7385c595-5b4f-4491-8e71-ece57ffffbd2.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/bigcode_starcoder2-3b/1762652580.0331972",
-  "retrieved_timestamp": "1762652580.0331972",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "bigcode/starcoder2-3b",
-    "developer": "bigcode",
-    "inference_platform": "unknown",
-    "id": "bigcode/starcoder2-3b",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Starcoder2ForCausalLM",
-      "params_billions": 3.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.20370838264693236
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.35087141384601755
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.015105740181268883
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.24412751677852348
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.34345833333333337
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1636469414893617
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/bigcode/starcoder2-3b/7b68fa5e-dbbf-4542-8767-6874aabf8f40.json b/data/hfopenllm_v2/bigcode/starcoder2-3b/7b68fa5e-dbbf-4542-8767-6874aabf8f40.json
new file mode 100644
index 000000000..4f9f33d8f
--- /dev/null
+++ b/data/hfopenllm_v2/bigcode/starcoder2-3b/7b68fa5e-dbbf-4542-8767-6874aabf8f40.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/bigcode_starcoder2-3b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "starcoder2-3b",
+    "id": "bigcode/starcoder2-3b",
+    "developer": "bigcode",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Starcoder2ForCausalLM",
+      "params_billions": 3.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2037
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3509
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0151
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2441
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3435
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1636
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/bigcode/starcoder2-7b/53eac61a-064e-4786-bc94-962382d88f77.json b/data/hfopenllm_v2/bigcode/starcoder2-7b/53eac61a-064e-4786-bc94-962382d88f77.json
deleted file mode 100644
index 45ace56c1..000000000
--- a/data/hfopenllm_v2/bigcode/starcoder2-7b/53eac61a-064e-4786-bc94-962382d88f77.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/bigcode_starcoder2-7b/1762652580.0333922",
-  "retrieved_timestamp": "1762652580.0333922",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "bigcode/starcoder2-7b",
-    "developer": "bigcode",
-    "inference_platform": "unknown",
-    "id": "bigcode/starcoder2-7b",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Starcoder2ForCausalLM",
-      "params_billions": 7.174
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.22091938279321088
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.36609857669123036
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.030966767371601207
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2516778523489933
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3793333333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.16422872340425532
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/bigcode/starcoder2-7b/c103b7f4-a432-42d6-86ef-cb369e0c16ff.json b/data/hfopenllm_v2/bigcode/starcoder2-7b/c103b7f4-a432-42d6-86ef-cb369e0c16ff.json
new file mode 100644
index 000000000..ba7f43161
--- /dev/null
+++ b/data/hfopenllm_v2/bigcode/starcoder2-7b/c103b7f4-a432-42d6-86ef-cb369e0c16ff.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/bigcode_starcoder2-7b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "starcoder2-7b",
+    "id": "bigcode/starcoder2-7b",
+    "developer": "bigcode",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Starcoder2ForCausalLM",
+      "params_billions": 7.174
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2209
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3661
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.031
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2517
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3793
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1642
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/bigscience/bloom-1b1/284ba4fb-cae4-46ac-a5dd-a36fb145da55.json b/data/hfopenllm_v2/bigscience/bloom-1b1/284ba4fb-cae4-46ac-a5dd-a36fb145da55.json
deleted file mode 100644
index 9b2d5ef10..000000000
--- a/data/hfopenllm_v2/bigscience/bloom-1b1/284ba4fb-cae4-46ac-a5dd-a36fb145da55.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/bigscience_bloom-1b1/1762652580.033589",
-  "retrieved_timestamp": "1762652580.033589",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "bigscience/bloom-1b1",
-    "developer": "bigscience",
-    "inference_platform": "unknown",
-    "id": "bigscience/bloom-1b1",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "BloomForCausalLM",
-      "params_billions": 1.065
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.13733781920858879
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-    },
-    {
-      "evaluation_name": "BBH",
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-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.31072762377370394
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.005287009063444109
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.25922818791946306
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.36999999999999994
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1107878989361702
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/bigscience/bloom-1b1/643dda41-37d0-4c1e-b856-58b774612886.json b/data/hfopenllm_v2/bigscience/bloom-1b1/643dda41-37d0-4c1e-b856-58b774612886.json
new file mode 100644
index 000000000..02b4a4909
--- /dev/null
+++ b/data/hfopenllm_v2/bigscience/bloom-1b1/643dda41-37d0-4c1e-b856-58b774612886.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/bigscience_bloom-1b1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "bloom-1b1",
+    "id": "bigscience/bloom-1b1",
+    "developer": "bigscience",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "BloomForCausalLM",
+      "params_billions": 1.065
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1373
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3107
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0053
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2592
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.37
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1108
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/bigscience/bloom-1b7/8adb8bb9-d057-45df-827a-cd8f014b4ff6.json b/data/hfopenllm_v2/bigscience/bloom-1b7/8adb8bb9-d057-45df-827a-cd8f014b4ff6.json
deleted file mode 100644
index 8f38960eb..000000000
--- a/data/hfopenllm_v2/bigscience/bloom-1b7/8adb8bb9-d057-45df-827a-cd8f014b4ff6.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/bigscience_bloom-1b7/1762652580.033839",
-  "retrieved_timestamp": "1762652580.033839",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "bigscience/bloom-1b7",
-    "developer": "bigscience",
-    "inference_platform": "unknown",
-    "id": "bigscience/bloom-1b7",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "BloomForCausalLM",
-      "params_billions": 1.722
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.10438968603305895
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.314054919904072
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.005287009063444109
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.25838926174496646
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.38857291666666666
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.10862699468085106
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/bigscience/bloom-1b7/ba2f284b-d7c6-4748-a8dc-4f80caa30c6c.json b/data/hfopenllm_v2/bigscience/bloom-1b7/ba2f284b-d7c6-4748-a8dc-4f80caa30c6c.json
new file mode 100644
index 000000000..e53021d83
--- /dev/null
+++ b/data/hfopenllm_v2/bigscience/bloom-1b7/ba2f284b-d7c6-4748-a8dc-4f80caa30c6c.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/bigscience_bloom-1b7/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "bloom-1b7",
+    "id": "bigscience/bloom-1b7",
+    "developer": "bigscience",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "BloomForCausalLM",
+      "params_billions": 1.722
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1044
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3141
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0053
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2584
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3886
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1086
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/bigscience/bloom-3b/16e30aa0-736a-4ef8-8ba6-78285b84546f.json b/data/hfopenllm_v2/bigscience/bloom-3b/16e30aa0-736a-4ef8-8ba6-78285b84546f.json
new file mode 100644
index 000000000..0929bf77c
--- /dev/null
+++ b/data/hfopenllm_v2/bigscience/bloom-3b/16e30aa0-736a-4ef8-8ba6-78285b84546f.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/bigscience_bloom-3b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "bloom-3b",
+    "id": "bigscience/bloom-3b",
+    "developer": "bigscience",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "BloomForCausalLM",
+      "params_billions": 3.003
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1271
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3063
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0083
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2399
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3981
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1133
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/bigscience/bloom-3b/88f90805-7410-4ec1-ad19-8e8a146f1ba3.json b/data/hfopenllm_v2/bigscience/bloom-3b/88f90805-7410-4ec1-ad19-8e8a146f1ba3.json
deleted file mode 100644
index d61e94fbd..000000000
--- a/data/hfopenllm_v2/bigscience/bloom-3b/88f90805-7410-4ec1-ad19-8e8a146f1ba3.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/bigscience_bloom-3b/1762652580.034177",
-  "retrieved_timestamp": "1762652580.034179",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "bigscience/bloom-3b",
-    "developer": "bigscience",
-    "inference_platform": "unknown",
-    "id": "bigscience/bloom-3b",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "BloomForCausalLM",
-      "params_billions": 3.003
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1270961050013963
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3062918592346337
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.008308157099697885
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
-        "score": 0.23993288590604026
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-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
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-        "max_score": 1
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-      "score_details": {
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-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      }
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-}
diff --git a/data/hfopenllm_v2/bigscience/bloom-560m/73eb729d-adfd-4dee-9bde-04a31f5528f6.json b/data/hfopenllm_v2/bigscience/bloom-560m/73eb729d-adfd-4dee-9bde-04a31f5528f6.json
new file mode 100644
index 000000000..2294ec54f
--- /dev/null
+++ b/data/hfopenllm_v2/bigscience/bloom-560m/73eb729d-adfd-4dee-9bde-04a31f5528f6.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/bigscience_bloom-560m/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "bloom-560m",
+    "id": "bigscience/bloom-560m",
+    "developer": "bigscience",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "BloomForCausalLM",
+      "params_billions": 0.559
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.062
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3026
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0038
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2617
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4031
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1164
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/bigscience/bloom-560m/82454b92-cca1-4ac8-a620-e1a8487a5b8e.json b/data/hfopenllm_v2/bigscience/bloom-560m/82454b92-cca1-4ac8-a620-e1a8487a5b8e.json
deleted file mode 100644
index 614921465..000000000
--- a/data/hfopenllm_v2/bigscience/bloom-560m/82454b92-cca1-4ac8-a620-e1a8487a5b8e.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/bigscience_bloom-560m/1762652580.034546",
-  "retrieved_timestamp": "1762652580.034548",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "bigscience/bloom-560m",
-    "developer": "bigscience",
-    "inference_platform": "unknown",
-    "id": "bigscience/bloom-560m",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "BloomForCausalLM",
-      "params_billions": 0.559
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.06202431769926019
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3025950541549823
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.0037764350453172208
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.26174496644295303
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4030833333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11643949468085106
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/bigscience/bloom-7b1/0daad2ae-92d0-4522-a067-20332f72c96f.json b/data/hfopenllm_v2/bigscience/bloom-7b1/0daad2ae-92d0-4522-a067-20332f72c96f.json
new file mode 100644
index 000000000..2cfad20ec
--- /dev/null
+++ b/data/hfopenllm_v2/bigscience/bloom-7b1/0daad2ae-92d0-4522-a067-20332f72c96f.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/bigscience_bloom-7b1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "bloom-7b1",
+    "id": "bigscience/bloom-7b1",
+    "developer": "bigscience",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "BloomForCausalLM",
+      "params_billions": 7.069
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1322
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3114
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0053
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2643
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3487
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1105
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/bigscience/bloom-7b1/d5fe1452-b6ee-4f1d-9eca-713b49a6a941.json b/data/hfopenllm_v2/bigscience/bloom-7b1/d5fe1452-b6ee-4f1d-9eca-713b49a6a941.json
deleted file mode 100644
index 911215713..000000000
--- a/data/hfopenllm_v2/bigscience/bloom-7b1/d5fe1452-b6ee-4f1d-9eca-713b49a6a941.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/bigscience_bloom-7b1/1762652580.0348449",
-  "retrieved_timestamp": "1762652580.034846",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "bigscience/bloom-7b1",
-    "developer": "bigscience",
-    "inference_platform": "unknown",
-    "id": "bigscience/bloom-7b1",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "BloomForCausalLM",
-      "params_billions": 7.069
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.13221696210499254
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3113718529627139
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.005287009063444109
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.26426174496644295
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.34869791666666666
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11045545212765957
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/bluuwhale/L3-SthenoMaid-8B-V1/44dd13bc-56f0-4dd1-90d0-bb411239109a.json b/data/hfopenllm_v2/bluuwhale/L3-SthenoMaid-8B-V1/44dd13bc-56f0-4dd1-90d0-bb411239109a.json
deleted file mode 100644
index 7c1cc4853..000000000
--- a/data/hfopenllm_v2/bluuwhale/L3-SthenoMaid-8B-V1/44dd13bc-56f0-4dd1-90d0-bb411239109a.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/bluuwhale_L3-SthenoMaid-8B-V1/1762652580.035146",
-  "retrieved_timestamp": "1762652580.035147",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "bluuwhale/L3-SthenoMaid-8B-V1",
-    "developer": "bluuwhale",
-    "inference_platform": "unknown",
-    "id": "bluuwhale/L3-SthenoMaid-8B-V1",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
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-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7344700949037443
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5218759253208048
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
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-        "score_type": "continuous",
-        "min_score": 0,
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-      },
-      "score_details": {
-        "score": 0.10800604229607251
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
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-        "score_type": "continuous",
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-        "max_score": 1
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-      "score_details": {
-        "score": 0.3686979166666667
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-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3656083776595745
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-  ]
-}
diff --git a/data/hfopenllm_v2/bluuwhale/L3-SthenoMaid-8B-V1/a3e3849f-a289-4132-b4a8-f67d67ad46a1.json b/data/hfopenllm_v2/bluuwhale/L3-SthenoMaid-8B-V1/a3e3849f-a289-4132-b4a8-f67d67ad46a1.json
new file mode 100644
index 000000000..bc1d74cae
--- /dev/null
+++ b/data/hfopenllm_v2/bluuwhale/L3-SthenoMaid-8B-V1/a3e3849f-a289-4132-b4a8-f67d67ad46a1.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/bluuwhale_L3-SthenoMaid-8B-V1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
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+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "L3-SthenoMaid-8B-V1",
+    "id": "bluuwhale/L3-SthenoMaid-8B-V1",
+    "developer": "bluuwhale",
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+    "additional_details": {
+      "precision": "bfloat16",
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+    }
+  },
+  "evaluation_results": [
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
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+        "lower_is_better": false,
+        "score_type": "continuous",
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+    },
+    {
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+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
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+    },
+    {
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+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3656
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/bond005/meno-tiny-0.1/109acb38-3026-4573-b082-8277b9501f09.json b/data/hfopenllm_v2/bond005/meno-tiny-0.1/109acb38-3026-4573-b082-8277b9501f09.json
deleted file mode 100644
index ee409f30c..000000000
--- a/data/hfopenllm_v2/bond005/meno-tiny-0.1/109acb38-3026-4573-b082-8277b9501f09.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/bond005_meno-tiny-0.1/1762652580.035417",
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-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
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-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
-    "name": "bond005/meno-tiny-0.1",
-    "developer": "bond005",
-    "inference_platform": "unknown",
-    "id": "bond005/meno-tiny-0.1",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 1.544
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-    },
-    {
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-      "metric_config": {
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-        "lower_is_better": false,
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-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-    {
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-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/bond005/meno-tiny-0.1/59a9ed26-a67a-4e76-8858-520400c90766.json b/data/hfopenllm_v2/bond005/meno-tiny-0.1/59a9ed26-a67a-4e76-8858-520400c90766.json
new file mode 100644
index 000000000..f9ab2bb8c
--- /dev/null
+++ b/data/hfopenllm_v2/bond005/meno-tiny-0.1/59a9ed26-a67a-4e76-8858-520400c90766.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/bond005_meno-tiny-0.1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "meno-tiny-0.1",
+    "id": "bond005/meno-tiny-0.1",
+    "developer": "bond005",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 1.544
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.455
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4263
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2819
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4185
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2786
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/bosonai/Higgs-Llama-3-70B/6c5c61b4-8037-4b28-8616-1aefa7963eb8.json b/data/hfopenllm_v2/bosonai/Higgs-Llama-3-70B/6c5c61b4-8037-4b28-8616-1aefa7963eb8.json
new file mode 100644
index 000000000..7f13e2ca9
--- /dev/null
+++ b/data/hfopenllm_v2/bosonai/Higgs-Llama-3-70B/6c5c61b4-8037-4b28-8616-1aefa7963eb8.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/bosonai_Higgs-Llama-3-70B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Higgs-Llama-3-70B",
+    "id": "bosonai/Higgs-Llama-3-70B",
+    "developer": "bosonai",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 70.554
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5561
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6258
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2523
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3666
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4471
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4902
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/braindao/DeepSeek-R1-Distill-Qwen-1.5B-Blunt/e9f9b836-fbdf-4996-9b35-2c8145a7f01b.json b/data/hfopenllm_v2/braindao/DeepSeek-R1-Distill-Qwen-1.5B-Blunt/e9f9b836-fbdf-4996-9b35-2c8145a7f01b.json
new file mode 100644
index 000000000..4c23d4552
--- /dev/null
+++ b/data/hfopenllm_v2/braindao/DeepSeek-R1-Distill-Qwen-1.5B-Blunt/e9f9b836-fbdf-4996-9b35-2c8145a7f01b.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/braindao_DeepSeek-R1-Distill-Qwen-1.5B-Blunt/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "DeepSeek-R1-Distill-Qwen-1.5B-Blunt",
+    "id": "braindao/DeepSeek-R1-Distill-Qwen-1.5B-Blunt",
+    "developer": "braindao",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 1.777
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2611
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2774
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2475
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3595
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1184
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/braindao/DeepSeek-R1-Distill-Qwen-1.5B-Reflective/5b3dae43-5d5c-4d19-bd47-5c0f68ecbb81.json b/data/hfopenllm_v2/braindao/DeepSeek-R1-Distill-Qwen-1.5B-Reflective/5b3dae43-5d5c-4d19-bd47-5c0f68ecbb81.json
new file mode 100644
index 000000000..7fd796153
--- /dev/null
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/braindao/DeepSeek-R1-Distill-Qwen-14B-ABUB-ST/d5b31b1f-ace0-457f-bf8a-9041398b8344.json b/data/hfopenllm_v2/braindao/DeepSeek-R1-Distill-Qwen-14B-ABUB-ST/d5b31b1f-ace0-457f-bf8a-9041398b8344.json
new file mode 100644
index 000000000..71e6c0585
--- /dev/null
+++ b/data/hfopenllm_v2/braindao/DeepSeek-R1-Distill-Qwen-14B-ABUB-ST/d5b31b1f-ace0-457f-bf8a-9041398b8344.json
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/braindao/DeepSeek-R1-Distill-Qwen-14B-Blunt-Uncensored-Blunt-Reflective/b34702cf-ffb8-4e75-9c9b-f5c52623d4c8.json b/data/hfopenllm_v2/braindao/DeepSeek-R1-Distill-Qwen-14B-Blunt-Uncensored-Blunt-Reflective/b34702cf-ffb8-4e75-9c9b-f5c52623d4c8.json
new file mode 100644
index 000000000..ce916802a
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/braindao/DeepSeek-R1-Distill-Qwen-14B-Blunt-Uncensored-Blunt/c701f1fd-166d-416b-8f78-edf17f2fecd4.json b/data/hfopenllm_v2/braindao/DeepSeek-R1-Distill-Qwen-14B-Blunt-Uncensored-Blunt/c701f1fd-166d-416b-8f78-edf17f2fecd4.json
new file mode 100644
index 000000000..d0206075b
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/braindao/DeepSeek-R1-Distill-Qwen-14B-Blunt-Uncensored-Reflective/4217b403-e924-4f67-9b0e-ad1d4ed293a1.json b/data/hfopenllm_v2/braindao/DeepSeek-R1-Distill-Qwen-14B-Blunt-Uncensored-Reflective/4217b403-e924-4f67-9b0e-ad1d4ed293a1.json
new file mode 100644
index 000000000..7a63e7232
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@@ -0,0 +1,132 @@
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diff --git a/data/hfopenllm_v2/braindao/DeepSeek-R1-Distill-Qwen-14B-Blunt-Uncensored/03816e41-5fb8-4815-ab9c-4108ab19a3bc.json b/data/hfopenllm_v2/braindao/DeepSeek-R1-Distill-Qwen-14B-Blunt-Uncensored/03816e41-5fb8-4815-ab9c-4108ab19a3bc.json
new file mode 100644
index 000000000..93ba8529b
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diff --git a/data/hfopenllm_v2/braindao/DeepSeek-R1-Distill-Qwen-14B-Blunt/a763b10e-350a-4342-ade3-b782437ca3e2.json b/data/hfopenllm_v2/braindao/DeepSeek-R1-Distill-Qwen-14B-Blunt/a763b10e-350a-4342-ade3-b782437ca3e2.json
new file mode 100644
index 000000000..511ffb178
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diff --git a/data/hfopenllm_v2/braindao/DeepSeek-R1-Distill-Qwen-14B-Reflective/9e806fd2-edbf-40e2-a008-834cee537bb6.json b/data/hfopenllm_v2/braindao/DeepSeek-R1-Distill-Qwen-14B-Reflective/9e806fd2-edbf-40e2-a008-834cee537bb6.json
new file mode 100644
index 000000000..c56a5b418
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/braindao/DeepSeek-R1-Distill-Qwen-14B/fbcf861c-62db-4079-bba6-becd4e231216.json b/data/hfopenllm_v2/braindao/DeepSeek-R1-Distill-Qwen-14B/fbcf861c-62db-4079-bba6-becd4e231216.json
new file mode 100644
index 000000000..cd51e1d40
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/braindao/DeepSeek-R1-Distill-Qwen-7B-Blunt/22b591c0-3386-4bd5-860c-20c0c6001986.json b/data/hfopenllm_v2/braindao/DeepSeek-R1-Distill-Qwen-7B-Blunt/22b591c0-3386-4bd5-860c-20c0c6001986.json
new file mode 100644
index 000000000..e9582887e
--- /dev/null
+++ b/data/hfopenllm_v2/braindao/DeepSeek-R1-Distill-Qwen-7B-Blunt/22b591c0-3386-4bd5-860c-20c0c6001986.json
@@ -0,0 +1,132 @@
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new file mode 100644
index 000000000..b9fd0837f
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new file mode 100644
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diff --git a/data/hfopenllm_v2/braindao/DeepSeek-R1-Distill-Qwen-7B/e53cbc94-fc9f-4d53-ae28-26bc8c2caef8.json b/data/hfopenllm_v2/braindao/DeepSeek-R1-Distill-Qwen-7B/e53cbc94-fc9f-4d53-ae28-26bc8c2caef8.json
new file mode 100644
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diff --git a/data/hfopenllm_v2/braindao/Qwen2.5-14B-Instruct/2165e69a-c50c-419a-932e-909f53b73b71.json b/data/hfopenllm_v2/braindao/Qwen2.5-14B-Instruct/2165e69a-c50c-419a-932e-909f53b73b71.json
new file mode 100644
index 000000000..5a58485ba
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+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.414
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4889
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/braindao/Qwen2.5-14B-Instruct/cb442f90-a0e1-4588-900c-548b994a764d.json b/data/hfopenllm_v2/braindao/Qwen2.5-14B-Instruct/cb442f90-a0e1-4588-900c-548b994a764d.json
deleted file mode 100644
index 557b2d8ae..000000000
--- a/data/hfopenllm_v2/braindao/Qwen2.5-14B-Instruct/cb442f90-a0e1-4588-900c-548b994a764d.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/braindao_Qwen2.5-14B-Instruct/1762652580.040103",
-  "retrieved_timestamp": "1762652580.040104",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "braindao/Qwen2.5-14B-Instruct",
-    "developer": "braindao",
-    "inference_platform": "unknown",
-    "id": "braindao/Qwen2.5-14B-Instruct",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 14.77
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.8142539572778007
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6403640774008682
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.552870090634441
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3288590604026846
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.414
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.48894614361702127
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/braindao/Qwen2.5-14B/46430a07-15c8-4727-9102-2f471d4f1d3c.json b/data/hfopenllm_v2/braindao/Qwen2.5-14B/46430a07-15c8-4727-9102-2f471d4f1d3c.json
new file mode 100644
index 000000000..fd68ca929
--- /dev/null
+++ b/data/hfopenllm_v2/braindao/Qwen2.5-14B/46430a07-15c8-4727-9102-2f471d4f1d3c.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/braindao_Qwen2.5-14B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-14B",
+    "id": "braindao/Qwen2.5-14B",
+    "developer": "braindao",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.77
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5409
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5853
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2923
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3733
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4124
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4884
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/braindao/iq-code-evmind-0.5b/3c7f540a-c850-4e20-ad93-60e021d17133.json b/data/hfopenllm_v2/braindao/iq-code-evmind-0.5b/3c7f540a-c850-4e20-ad93-60e021d17133.json
new file mode 100644
index 000000000..7ebae94fb
--- /dev/null
+++ b/data/hfopenllm_v2/braindao/iq-code-evmind-0.5b/3c7f540a-c850-4e20-ad93-60e021d17133.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/braindao_iq-code-evmind-0.5b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "iq-code-evmind-0.5b",
+    "id": "braindao/iq-code-evmind-0.5b",
+    "developer": "braindao",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 0.494
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3216
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3164
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0242
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2416
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3304
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1189
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/braindao/iq-code-evmind-0.5b/58f1b3d7-74a6-4ed0-b927-afaedfdda25f.json b/data/hfopenllm_v2/braindao/iq-code-evmind-0.5b/58f1b3d7-74a6-4ed0-b927-afaedfdda25f.json
deleted file mode 100644
index 85f7d9c15..000000000
--- a/data/hfopenllm_v2/braindao/iq-code-evmind-0.5b/58f1b3d7-74a6-4ed0-b927-afaedfdda25f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/braindao_iq-code-evmind-0.5b/1762652580.0403671",
-  "retrieved_timestamp": "1762652580.040368",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "braindao/iq-code-evmind-0.5b",
-    "developer": "braindao",
-    "inference_platform": "unknown",
-    "id": "braindao/iq-code-evmind-0.5b",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 0.494
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3215612353001148
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.31637440507987097
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.02416918429003021
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.24161073825503357
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.33037500000000003
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11893284574468085
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/brgx53/3Bgeneral-ECE-PRYMMAL-Martial/06d2ac1d-d70c-4cda-997d-9d4d1ef50c5a.json b/data/hfopenllm_v2/brgx53/3Bgeneral-ECE-PRYMMAL-Martial/06d2ac1d-d70c-4cda-997d-9d4d1ef50c5a.json
deleted file mode 100644
index 1d649409e..000000000
--- a/data/hfopenllm_v2/brgx53/3Bgeneral-ECE-PRYMMAL-Martial/06d2ac1d-d70c-4cda-997d-9d4d1ef50c5a.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/brgx53_3Bgeneral-ECE-PRYMMAL-Martial/1762652580.040573",
-  "retrieved_timestamp": "1762652580.0405738",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "brgx53/3Bgeneral-ECE-PRYMMAL-Martial",
-    "developer": "brgx53",
-    "inference_platform": "unknown",
-    "id": "brgx53/3Bgeneral-ECE-PRYMMAL-Martial",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Phi3ForCausalLM",
-      "params_billions": 3.821
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.32893057088525113
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5458008312900208
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.13141993957703926
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.32466442953020136
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.43728125
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3933676861702128
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/brgx53/3Bgeneral-ECE-PRYMMAL-Martial/c3ab4f38-6f7b-4589-ae4f-21ace05b8c44.json b/data/hfopenllm_v2/brgx53/3Bgeneral-ECE-PRYMMAL-Martial/c3ab4f38-6f7b-4589-ae4f-21ace05b8c44.json
new file mode 100644
index 000000000..e96867233
--- /dev/null
+++ b/data/hfopenllm_v2/brgx53/3Bgeneral-ECE-PRYMMAL-Martial/c3ab4f38-6f7b-4589-ae4f-21ace05b8c44.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/brgx53_3Bgeneral-ECE-PRYMMAL-Martial/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "3Bgeneral-ECE-PRYMMAL-Martial",
+    "id": "brgx53/3Bgeneral-ECE-PRYMMAL-Martial",
+    "developer": "brgx53",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Phi3ForCausalLM",
+      "params_billions": 3.821
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3289
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5458
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1314
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3247
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4373
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3934
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/brgx53/3Bgeneralv2-ECE-PRYMMAL-Martial/2708c0d6-03e7-4a17-b6b9-e16f3ddcf5bb.json b/data/hfopenllm_v2/brgx53/3Bgeneralv2-ECE-PRYMMAL-Martial/2708c0d6-03e7-4a17-b6b9-e16f3ddcf5bb.json
new file mode 100644
index 000000000..bebdea7ac
--- /dev/null
+++ b/data/hfopenllm_v2/brgx53/3Bgeneralv2-ECE-PRYMMAL-Martial/2708c0d6-03e7-4a17-b6b9-e16f3ddcf5bb.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/brgx53_3Bgeneralv2-ECE-PRYMMAL-Martial/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "3Bgeneralv2-ECE-PRYMMAL-Martial",
+    "id": "brgx53/3Bgeneralv2-ECE-PRYMMAL-Martial",
+    "developer": "brgx53",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 3.0
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5677
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5607
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3497
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3112
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4356
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4505
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/brgx53/3Bgeneralv2-ECE-PRYMMAL-Martial/c7f6603c-dcca-49b9-94bd-0a1fbf707dd9.json b/data/hfopenllm_v2/brgx53/3Bgeneralv2-ECE-PRYMMAL-Martial/c7f6603c-dcca-49b9-94bd-0a1fbf707dd9.json
deleted file mode 100644
index c25eb0787..000000000
--- a/data/hfopenllm_v2/brgx53/3Bgeneralv2-ECE-PRYMMAL-Martial/c7f6603c-dcca-49b9-94bd-0a1fbf707dd9.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/brgx53_3Bgeneralv2-ECE-PRYMMAL-Martial/1762652580.040823",
-  "retrieved_timestamp": "1762652580.0408242",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "brgx53/3Bgeneralv2-ECE-PRYMMAL-Martial",
-    "developer": "brgx53",
-    "inference_platform": "unknown",
-    "id": "brgx53/3Bgeneralv2-ECE-PRYMMAL-Martial",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 3.0
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.567708125551315
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5607195549186694
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3496978851963746
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.311241610738255
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.43563541666666666
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.45054853723404253
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/brgx53/3Blareneg-ECE-PRYMMAL-Martial/6427a5ef-8508-430d-970d-054fc485e754.json b/data/hfopenllm_v2/brgx53/3Blareneg-ECE-PRYMMAL-Martial/6427a5ef-8508-430d-970d-054fc485e754.json
new file mode 100644
index 000000000..27aa2a2d2
--- /dev/null
+++ b/data/hfopenllm_v2/brgx53/3Blareneg-ECE-PRYMMAL-Martial/6427a5ef-8508-430d-970d-054fc485e754.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/brgx53_3Blareneg-ECE-PRYMMAL-Martial/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "3Blareneg-ECE-PRYMMAL-Martial",
+    "id": "brgx53/3Blareneg-ECE-PRYMMAL-Martial",
+    "developer": "brgx53",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Phi3ForCausalLM",
+      "params_billions": 3.821
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2876
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5358
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1208
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3347
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4429
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4016
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/brgx53/3Blareneg-ECE-PRYMMAL-Martial/6fea29aa-174f-4e3f-be91-c79842126c2c.json b/data/hfopenllm_v2/brgx53/3Blareneg-ECE-PRYMMAL-Martial/6fea29aa-174f-4e3f-be91-c79842126c2c.json
deleted file mode 100644
index 00b4210a5..000000000
--- a/data/hfopenllm_v2/brgx53/3Blareneg-ECE-PRYMMAL-Martial/6fea29aa-174f-4e3f-be91-c79842126c2c.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/brgx53_3Blareneg-ECE-PRYMMAL-Martial/1762652580.041033",
-  "retrieved_timestamp": "1762652580.041034",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "brgx53/3Blareneg-ECE-PRYMMAL-Martial",
-    "developer": "brgx53",
-    "inference_platform": "unknown",
-    "id": "brgx53/3Blareneg-ECE-PRYMMAL-Martial",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Phi3ForCausalLM",
-      "params_billions": 3.821
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.28763902002242936
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.535846215598753
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.12084592145015106
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3347315436241611
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4428958333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4015957446808511
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/brgx53/3Blarenegv2-ECE-PRYMMAL-Martial/08984ad9-1e9b-4916-b214-af26dadfcc0b.json b/data/hfopenllm_v2/brgx53/3Blarenegv2-ECE-PRYMMAL-Martial/08984ad9-1e9b-4916-b214-af26dadfcc0b.json
new file mode 100644
index 000000000..3114b7908
--- /dev/null
+++ b/data/hfopenllm_v2/brgx53/3Blarenegv2-ECE-PRYMMAL-Martial/08984ad9-1e9b-4916-b214-af26dadfcc0b.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/brgx53_3Blarenegv2-ECE-PRYMMAL-Martial/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "3Blarenegv2-ECE-PRYMMAL-Martial",
+    "id": "brgx53/3Blarenegv2-ECE-PRYMMAL-Martial",
+    "developer": "brgx53",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5662
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5607
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3497
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3112
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4356
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4505
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/brgx53/3Blarenegv2-ECE-PRYMMAL-Martial/64e92286-72ea-4318-aaea-4e0be87a0067.json b/data/hfopenllm_v2/brgx53/3Blarenegv2-ECE-PRYMMAL-Martial/64e92286-72ea-4318-aaea-4e0be87a0067.json
deleted file mode 100644
index 4dabec33f..000000000
--- a/data/hfopenllm_v2/brgx53/3Blarenegv2-ECE-PRYMMAL-Martial/64e92286-72ea-4318-aaea-4e0be87a0067.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/brgx53_3Blarenegv2-ECE-PRYMMAL-Martial/1762652580.04124",
-  "retrieved_timestamp": "1762652580.04124",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "brgx53/3Blarenegv2-ECE-PRYMMAL-Martial",
-    "developer": "brgx53",
-    "inference_platform": "unknown",
-    "id": "brgx53/3Blarenegv2-ECE-PRYMMAL-Martial",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.616
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5661843907498769
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5607195549186694
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3496978851963746
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.311241610738255
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.43563541666666666
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.45054853723404253
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/brgx53/Barracuda-PRYMMAL-ECE-TW3/1dbb5d03-fdfa-4059-9d50-d037ada6b1ac.json b/data/hfopenllm_v2/brgx53/Barracuda-PRYMMAL-ECE-TW3/1dbb5d03-fdfa-4059-9d50-d037ada6b1ac.json
new file mode 100644
index 000000000..ee39d8a64
--- /dev/null
+++ b/data/hfopenllm_v2/brgx53/Barracuda-PRYMMAL-ECE-TW3/1dbb5d03-fdfa-4059-9d50-d037ada6b1ac.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/brgx53_Barracuda-PRYMMAL-ECE-TW3/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Barracuda-PRYMMAL-ECE-TW3",
+    "id": "brgx53/Barracuda-PRYMMAL-ECE-TW3",
+    "developer": "brgx53",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 1.544
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.164
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3002
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0023
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2534
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3609
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1093
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/brgx53/Barracuda-PRYMMAL-ECE-TW3/70a11b76-f8e4-4cfb-8ab6-791c7e9ba113.json b/data/hfopenllm_v2/brgx53/Barracuda-PRYMMAL-ECE-TW3/70a11b76-f8e4-4cfb-8ab6-791c7e9ba113.json
deleted file mode 100644
index db2c17e79..000000000
--- a/data/hfopenllm_v2/brgx53/Barracuda-PRYMMAL-ECE-TW3/70a11b76-f8e4-4cfb-8ab6-791c7e9ba113.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/brgx53_Barracuda-PRYMMAL-ECE-TW3/1762652580.041505",
-  "retrieved_timestamp": "1762652580.041506",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "brgx53/Barracuda-PRYMMAL-ECE-TW3",
-    "developer": "brgx53",
-    "inference_platform": "unknown",
-    "id": "brgx53/Barracuda-PRYMMAL-ECE-TW3",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 1.544
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.16401592219754696
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30024599561514337
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.0022658610271903325
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2533557046979866
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.36085416666666664
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.10929188829787234
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/brgx53/LaConfiance-PRYMMAL-ECE-TW3/6bf42faa-c3e9-4069-bf93-ffd626062f0f.json b/data/hfopenllm_v2/brgx53/LaConfiance-PRYMMAL-ECE-TW3/6bf42faa-c3e9-4069-bf93-ffd626062f0f.json
new file mode 100644
index 000000000..f4004b73f
--- /dev/null
+++ b/data/hfopenllm_v2/brgx53/LaConfiance-PRYMMAL-ECE-TW3/6bf42faa-c3e9-4069-bf93-ffd626062f0f.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/brgx53_LaConfiance-PRYMMAL-ECE-TW3/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "LaConfiance-PRYMMAL-ECE-TW3",
+    "id": "brgx53/LaConfiance-PRYMMAL-ECE-TW3",
+    "developer": "brgx53",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 1.777
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1579
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2962
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2517
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3846
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1146
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/brgx53/LaConfiance-PRYMMAL-ECE-TW3/f4766bd8-0130-4ed1-ae1c-8177a65d94a9.json b/data/hfopenllm_v2/brgx53/LaConfiance-PRYMMAL-ECE-TW3/f4766bd8-0130-4ed1-ae1c-8177a65d94a9.json
deleted file mode 100644
index cc2649023..000000000
--- a/data/hfopenllm_v2/brgx53/LaConfiance-PRYMMAL-ECE-TW3/f4766bd8-0130-4ed1-ae1c-8177a65d94a9.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/brgx53_LaConfiance-PRYMMAL-ECE-TW3/1762652580.041717",
-  "retrieved_timestamp": "1762652580.041717",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "brgx53/LaConfiance-PRYMMAL-ECE-TW3",
-    "developer": "brgx53",
-    "inference_platform": "unknown",
-    "id": "brgx53/LaConfiance-PRYMMAL-ECE-TW3",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 1.777
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1579209829917951
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
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-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2516778523489933
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.38457291666666665
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11461103723404255
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/bunnycore/Best-Mix-Llama-3.1-8B/9feccbdc-18eb-4077-b50b-986db0047fc8.json b/data/hfopenllm_v2/bunnycore/Best-Mix-Llama-3.1-8B/9feccbdc-18eb-4077-b50b-986db0047fc8.json
new file mode 100644
index 000000000..b5b81fbcc
--- /dev/null
+++ b/data/hfopenllm_v2/bunnycore/Best-Mix-Llama-3.1-8B/9feccbdc-18eb-4077-b50b-986db0047fc8.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/bunnycore_Best-Mix-Llama-3.1-8B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Best-Mix-Llama-3.1-8B",
+    "id": "bunnycore/Best-Mix-Llama-3.1-8B",
+    "developer": "bunnycore",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2067
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3432
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2054
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2651
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2929
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1565
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/bunnycore/Blabbertron-1.0/195957fa-9d4e-49ec-afd9-17125ebcf62d.json b/data/hfopenllm_v2/bunnycore/Blabbertron-1.0/195957fa-9d4e-49ec-afd9-17125ebcf62d.json
deleted file mode 100644
index 96708413b..000000000
--- a/data/hfopenllm_v2/bunnycore/Blabbertron-1.0/195957fa-9d4e-49ec-afd9-17125ebcf62d.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/bunnycore_Blabbertron-1.0/1762652580.0421708",
-  "retrieved_timestamp": "1762652580.042172",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "bunnycore/Blabbertron-1.0",
-    "developer": "bunnycore",
-    "inference_platform": "unknown",
-    "id": "bunnycore/Blabbertron-1.0",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.613
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7433376773627309
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5496552006589083
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.49244712990936557
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30201342281879195
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4336875
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4354222074468085
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/bunnycore/Blabbertron-1.0/a074c33f-782a-409c-987b-7dd62c65ccc7.json b/data/hfopenllm_v2/bunnycore/Blabbertron-1.0/a074c33f-782a-409c-987b-7dd62c65ccc7.json
new file mode 100644
index 000000000..313ecbf7a
--- /dev/null
+++ b/data/hfopenllm_v2/bunnycore/Blabbertron-1.0/a074c33f-782a-409c-987b-7dd62c65ccc7.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/bunnycore_Blabbertron-1.0/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Blabbertron-1.0",
+    "id": "bunnycore/Blabbertron-1.0",
+    "developer": "bunnycore",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.613
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7433
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5497
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4924
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.302
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4337
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4354
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/bunnycore/Blabbertron-1.1/2f2c0dea-dcd4-4e54-9f40-9fda4b91bd40.json b/data/hfopenllm_v2/bunnycore/Blabbertron-1.1/2f2c0dea-dcd4-4e54-9f40-9fda4b91bd40.json
new file mode 100644
index 000000000..47f457e44
--- /dev/null
+++ b/data/hfopenllm_v2/bunnycore/Blabbertron-1.1/2f2c0dea-dcd4-4e54-9f40-9fda4b91bd40.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/bunnycore_Blabbertron-1.1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Blabbertron-1.1",
+    "id": "bunnycore/Blabbertron-1.1",
+    "developer": "bunnycore",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.613
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7265
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5534
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4804
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3029
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4416
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4431
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/bunnycore/Blabbertron-1.1/9fbe416c-de18-4f83-812c-f48071a49917.json b/data/hfopenllm_v2/bunnycore/Blabbertron-1.1/9fbe416c-de18-4f83-812c-f48071a49917.json
deleted file mode 100644
index 7eed76238..000000000
--- a/data/hfopenllm_v2/bunnycore/Blabbertron-1.1/9fbe416c-de18-4f83-812c-f48071a49917.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/bunnycore_Blabbertron-1.1/1762652580.0424142",
-  "retrieved_timestamp": "1762652580.0424151",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "bunnycore/Blabbertron-1.1",
-    "developer": "bunnycore",
-    "inference_platform": "unknown",
-    "id": "bunnycore/Blabbertron-1.1",
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new file mode 100644
index 000000000..a37c47c92
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+++ b/data/hfopenllm_v2/bunnycore/CyberCore-Qwen-2.1-7B/84481fee-3727-427b-912a-30e2744df28a.json
@@ -0,0 +1,132 @@
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/bunnycore/DeepQwen-3B-LCoT-SCE/aaa801dc-1a47-4009-9ad4-7129a8d4e651.json b/data/hfopenllm_v2/bunnycore/DeepQwen-3B-LCoT-SCE/aaa801dc-1a47-4009-9ad4-7129a8d4e651.json
new file mode 100644
index 000000000..ee38b50d8
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+++ b/data/hfopenllm_v2/bunnycore/DeepQwen-3B-LCoT-SCE/aaa801dc-1a47-4009-9ad4-7129a8d4e651.json
@@ -0,0 +1,132 @@
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/bunnycore/DeepSeek-R1-Distill-Qwen-7B-RRP-Ex/3ac92cbf-c85b-4e00-9ef9-4322f961591a.json b/data/hfopenllm_v2/bunnycore/DeepSeek-R1-Distill-Qwen-7B-RRP-Ex/3ac92cbf-c85b-4e00-9ef9-4322f961591a.json
new file mode 100644
index 000000000..b208debb8
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+++ b/data/hfopenllm_v2/bunnycore/DeepSeek-R1-Distill-Qwen-7B-RRP-Ex/3ac92cbf-c85b-4e00-9ef9-4322f961591a.json
@@ -0,0 +1,132 @@
+{
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+  "source_metadata": {
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+    "source_type": "documentation",
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+  "model_info": {
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+    "id": "bunnycore/DeepSeek-R1-Distill-Qwen-7B-RRP-Ex",
+    "developer": "bunnycore",
+    "inference_platform": "unknown",
+    "additional_details": {
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+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/bunnycore/DeepThinker-7B-Sce-v1/162b511b-4684-4595-9261-a33f3a4117f9.json b/data/hfopenllm_v2/bunnycore/DeepThinker-7B-Sce-v1/162b511b-4684-4595-9261-a33f3a4117f9.json
new file mode 100644
index 000000000..e66755432
--- /dev/null
+++ b/data/hfopenllm_v2/bunnycore/DeepThinker-7B-Sce-v1/162b511b-4684-4595-9261-a33f3a4117f9.json
@@ -0,0 +1,132 @@
+{
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+  },
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+    "id": "bunnycore/DeepThinker-7B-Sce-v1",
+    "developer": "bunnycore",
+    "inference_platform": "unknown",
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+    }
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+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
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+        "score_type": "continuous",
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+        "max_score": 1.0
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+      }
+    },
+    {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
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+        "hf_repo": "TAUR-Lab/MuSR"
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
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+        "evaluation_description": "Accuracy on MMLU-PRO",
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/bunnycore/DeepThinker-7B-Sce-v1/814129ce-9101-4d9b-9e53-9161a010743f.json b/data/hfopenllm_v2/bunnycore/DeepThinker-7B-Sce-v1/814129ce-9101-4d9b-9e53-9161a010743f.json
deleted file mode 100644
index 507c8d6c3..000000000
--- a/data/hfopenllm_v2/bunnycore/DeepThinker-7B-Sce-v1/814129ce-9101-4d9b-9e53-9161a010743f.json
+++ /dev/null
@@ -1,105 +0,0 @@
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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diff --git a/data/hfopenllm_v2/bunnycore/DeepThinker-7B-Sce-v2/20d5d59a-028d-4e34-9414-d9edaf2e59b8.json b/data/hfopenllm_v2/bunnycore/DeepThinker-7B-Sce-v2/20d5d59a-028d-4e34-9414-d9edaf2e59b8.json
new file mode 100644
index 000000000..36edeced3
--- /dev/null
+++ b/data/hfopenllm_v2/bunnycore/DeepThinker-7B-Sce-v2/20d5d59a-028d-4e34-9414-d9edaf2e59b8.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/bunnycore_DeepThinker-7B-Sce-v2/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "DeepThinker-7B-Sce-v2",
+    "id": "bunnycore/DeepThinker-7B-Sce-v2",
+    "developer": "bunnycore",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.613
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1631
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3057
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
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+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2584
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4101
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1146
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/bunnycore/DeepThinker-7B-Sce-v2/82cc30d2-9bb6-499f-b522-c66688e07c00.json b/data/hfopenllm_v2/bunnycore/DeepThinker-7B-Sce-v2/82cc30d2-9bb6-499f-b522-c66688e07c00.json
deleted file mode 100644
index ce68b9f5b..000000000
--- a/data/hfopenllm_v2/bunnycore/DeepThinker-7B-Sce-v2/82cc30d2-9bb6-499f-b522-c66688e07c00.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/bunnycore_DeepThinker-7B-Sce-v2/1762652580.0435221",
-  "retrieved_timestamp": "1762652580.043523",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
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-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "bunnycore/DeepThinker-7B-Sce-v2",
-    "developer": "bunnycore",
-    "inference_platform": "unknown",
-    "id": "bunnycore/DeepThinker-7B-Sce-v2",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.613
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-      "score_details": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
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-    {
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-        "lower_is_better": false,
-        "score_type": "continuous",
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-    },
-    {
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-        "lower_is_better": false,
-        "score_type": "continuous",
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-        "max_score": 1
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-      "score_details": {
-        "score": 0.25838926174496646
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4100625
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/bunnycore/FuseCyberMix-Qwen-2.5-7B-Instruct/a21b53fb-783b-440b-9f3d-d8ada3bd18ea.json b/data/hfopenllm_v2/bunnycore/FuseCyberMix-Qwen-2.5-7B-Instruct/a21b53fb-783b-440b-9f3d-d8ada3bd18ea.json
new file mode 100644
index 000000000..ae646dc09
--- /dev/null
+++ b/data/hfopenllm_v2/bunnycore/FuseCyberMix-Qwen-2.5-7B-Instruct/a21b53fb-783b-440b-9f3d-d8ada3bd18ea.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/bunnycore_FuseCyberMix-Qwen-2.5-7B-Instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "FuseCyberMix-Qwen-2.5-7B-Instruct",
+    "id": "bunnycore/FuseCyberMix-Qwen-2.5-7B-Instruct",
+    "developer": "bunnycore",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7019
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5518
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4841
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.297
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.402
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4337
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/bunnycore/FuseCyberMix-Qwen-2.5-7B-Instruct/d851bc0d-5f11-40f6-982c-39809dffe946.json b/data/hfopenllm_v2/bunnycore/FuseCyberMix-Qwen-2.5-7B-Instruct/d851bc0d-5f11-40f6-982c-39809dffe946.json
deleted file mode 100644
index af43d6a7d..000000000
--- a/data/hfopenllm_v2/bunnycore/FuseCyberMix-Qwen-2.5-7B-Instruct/d851bc0d-5f11-40f6-982c-39809dffe946.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/bunnycore_FuseCyberMix-Qwen-2.5-7B-Instruct/1762652580.043724",
-  "retrieved_timestamp": "1762652580.043725",
-  "source_data": [
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-  ],
-  "source_metadata": {
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "bunnycore/FuseCyberMix-Qwen-2.5-7B-Instruct",
-    "developer": "bunnycore",
-    "inference_platform": "unknown",
-    "id": "bunnycore/FuseCyberMix-Qwen-2.5-7B-Instruct",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.616
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5517973725429837
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.48413897280966767
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.29697986577181207
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-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.40203125
-      }
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-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.43367686170212766
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-}
diff --git a/data/hfopenllm_v2/bunnycore/FuseQwQen-7B/06b6f8e3-f3c7-43a6-bb69-e1eb3bd10b7a.json b/data/hfopenllm_v2/bunnycore/FuseQwQen-7B/06b6f8e3-f3c7-43a6-bb69-e1eb3bd10b7a.json
deleted file mode 100644
index 785ddb7cb..000000000
--- a/data/hfopenllm_v2/bunnycore/FuseQwQen-7B/06b6f8e3-f3c7-43a6-bb69-e1eb3bd10b7a.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/bunnycore_FuseQwQen-7B/1762652580.0439281",
-  "retrieved_timestamp": "1762652580.043929",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "bunnycore/FuseQwQen-7B",
-    "developer": "bunnycore",
-    "inference_platform": "unknown",
-    "id": "bunnycore/FuseQwQen-7B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.616
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-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
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-        "score_type": "continuous",
-        "min_score": 0,
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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new file mode 100644
index 000000000..066c75efc
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diff --git a/data/hfopenllm_v2/bunnycore/FwF-Qwen-7B-0.1/6b4a37c8-c7e6-4156-9d6d-8cba51b74d82.json b/data/hfopenllm_v2/bunnycore/FwF-Qwen-7B-0.1/6b4a37c8-c7e6-4156-9d6d-8cba51b74d82.json
new file mode 100644
index 000000000..13a373a0b
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diff --git a/data/hfopenllm_v2/bunnycore/FwF-Qwen-7B-0.2/78582fec-2f69-4b37-8497-12ceb097b44b.json b/data/hfopenllm_v2/bunnycore/FwF-Qwen-7B-0.2/78582fec-2f69-4b37-8497-12ceb097b44b.json
new file mode 100644
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diff --git a/data/hfopenllm_v2/bunnycore/Gemma-2-2B-Smart/949bf65e-c2ae-4701-82f0-39d0c62a0e87.json b/data/hfopenllm_v2/bunnycore/Gemma-2-2B-Smart/949bf65e-c2ae-4701-82f0-39d0c62a0e87.json
new file mode 100644
index 000000000..7d739968f
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/bunnycore/Gemma2-9B-TitanFusion/8812151c-4301-4131-a414-d64d025e476e.json b/data/hfopenllm_v2/bunnycore/Gemma2-9B-TitanFusion/8812151c-4301-4131-a414-d64d025e476e.json
new file mode 100644
index 000000000..7da88954d
--- /dev/null
+++ b/data/hfopenllm_v2/bunnycore/Gemma2-9B-TitanFusion/8812151c-4301-4131-a414-d64d025e476e.json
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/bunnycore/HyperLlama-3.1-8B/2db1542f-a8da-4fb8-91a5-6dd1a942b55e.json b/data/hfopenllm_v2/bunnycore/HyperLlama-3.1-8B/2db1542f-a8da-4fb8-91a5-6dd1a942b55e.json
new file mode 100644
index 000000000..0347a413c
--- /dev/null
+++ b/data/hfopenllm_v2/bunnycore/HyperLlama-3.1-8B/2db1542f-a8da-4fb8-91a5-6dd1a942b55e.json
@@ -0,0 +1,132 @@
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/bunnycore/Llama-3.1-8B-TitanFusion-Mix/9feeffb2-3763-4e43-933e-89100b76f7fa.json b/data/hfopenllm_v2/bunnycore/Llama-3.1-8B-TitanFusion-Mix/9feeffb2-3763-4e43-933e-89100b76f7fa.json
new file mode 100644
index 000000000..0258259b7
--- /dev/null
+++ b/data/hfopenllm_v2/bunnycore/Llama-3.1-8B-TitanFusion-Mix/9feeffb2-3763-4e43-933e-89100b76f7fa.json
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/bunnycore/Llama-3.1-8B-TitanFusion-v3/721102b5-ed5e-4631-8600-a6adfff0c784.json b/data/hfopenllm_v2/bunnycore/Llama-3.1-8B-TitanFusion-v3/721102b5-ed5e-4631-8600-a6adfff0c784.json
new file mode 100644
index 000000000..9e1223273
--- /dev/null
+++ b/data/hfopenllm_v2/bunnycore/Llama-3.1-8B-TitanFusion-v3/721102b5-ed5e-4631-8600-a6adfff0c784.json
@@ -0,0 +1,132 @@
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/bunnycore/Llama-3.2-3B-All-Mix/18c185f7-5ca4-46ff-81c2-6c538f096409.json b/data/hfopenllm_v2/bunnycore/Llama-3.2-3B-All-Mix/18c185f7-5ca4-46ff-81c2-6c538f096409.json
new file mode 100644
index 000000000..e63ada024
--- /dev/null
+++ b/data/hfopenllm_v2/bunnycore/Llama-3.2-3B-All-Mix/18c185f7-5ca4-46ff-81c2-6c538f096409.json
@@ -0,0 +1,132 @@
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/bunnycore/Llama-3.2-3B-Bespoke-Thought/7ab5911c-e229-43e5-a798-095287d0a597.json b/data/hfopenllm_v2/bunnycore/Llama-3.2-3B-Bespoke-Thought/7ab5911c-e229-43e5-a798-095287d0a597.json
new file mode 100644
index 000000000..8d51fa17b
--- /dev/null
+++ b/data/hfopenllm_v2/bunnycore/Llama-3.2-3B-Bespoke-Thought/7ab5911c-e229-43e5-a798-095287d0a597.json
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diff --git a/data/hfopenllm_v2/bunnycore/Llama-3.2-3B-Booval/f800c4e5-e918-45bb-8a12-3ca2a64c6b23.json b/data/hfopenllm_v2/bunnycore/Llama-3.2-3B-Booval/f800c4e5-e918-45bb-8a12-3ca2a64c6b23.json
new file mode 100644
index 000000000..596f8d2f9
--- /dev/null
+++ b/data/hfopenllm_v2/bunnycore/Llama-3.2-3B-Booval/f800c4e5-e918-45bb-8a12-3ca2a64c6b23.json
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diff --git a/data/hfopenllm_v2/bunnycore/Llama-3.2-3B-Deep-Test/5fcf41bc-30dc-46a7-9cf2-4ce2c7a5850c.json b/data/hfopenllm_v2/bunnycore/Llama-3.2-3B-Deep-Test/5fcf41bc-30dc-46a7-9cf2-4ce2c7a5850c.json
new file mode 100644
index 000000000..cce4b4015
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+++ b/data/hfopenllm_v2/bunnycore/Llama-3.2-3B-Deep-Test/5fcf41bc-30dc-46a7-9cf2-4ce2c7a5850c.json
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diff --git a/data/hfopenllm_v2/bunnycore/Llama-3.2-3B-Deep-Test/d4b20ef4-734e-40a7-818e-f77e170d7437.json b/data/hfopenllm_v2/bunnycore/Llama-3.2-3B-Deep-Test/d4b20ef4-734e-40a7-818e-f77e170d7437.json
new file mode 100644
index 000000000..89f5cb978
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/bunnycore/Llama-3.2-3B-Della/e0996c96-c9e5-4d39-8e6d-1455ef1f9544.json b/data/hfopenllm_v2/bunnycore/Llama-3.2-3B-Della/e0996c96-c9e5-4d39-8e6d-1455ef1f9544.json
new file mode 100644
index 000000000..10dca8528
--- /dev/null
+++ b/data/hfopenllm_v2/bunnycore/Llama-3.2-3B-Della/e0996c96-c9e5-4d39-8e6d-1455ef1f9544.json
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diff --git a/data/hfopenllm_v2/bunnycore/Llama-3.2-3B-Long-Think/3ad2b31e-ce2a-4cb4-9b85-79cdebd5d364.json b/data/hfopenllm_v2/bunnycore/Llama-3.2-3B-Long-Think/3ad2b31e-ce2a-4cb4-9b85-79cdebd5d364.json
new file mode 100644
index 000000000..a4a40c69d
--- /dev/null
+++ b/data/hfopenllm_v2/bunnycore/Llama-3.2-3B-Long-Think/3ad2b31e-ce2a-4cb4-9b85-79cdebd5d364.json
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diff --git a/data/hfopenllm_v2/bunnycore/Llama-3.2-3B-Mix-Skill/9aff874c-1953-4b97-9bff-9e6120b0bfa7.json b/data/hfopenllm_v2/bunnycore/Llama-3.2-3B-Mix-Skill/9aff874c-1953-4b97-9bff-9e6120b0bfa7.json
new file mode 100644
index 000000000..80946bb54
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+++ b/data/hfopenllm_v2/bunnycore/Llama-3.2-3B-Mix-Skill/9aff874c-1953-4b97-9bff-9e6120b0bfa7.json
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diff --git a/data/hfopenllm_v2/bunnycore/Llama-3.2-3B-ProdigyPlus/45ae7f45-8c36-46c6-989d-bc672cdf8eff.json b/data/hfopenllm_v2/bunnycore/Llama-3.2-3B-ProdigyPlus/45ae7f45-8c36-46c6-989d-bc672cdf8eff.json
new file mode 100644
index 000000000..dfe4a54af
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+++ b/data/hfopenllm_v2/bunnycore/Llama-3.2-3B-ProdigyPlus/45ae7f45-8c36-46c6-989d-bc672cdf8eff.json
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/bunnycore/Llama-3.2-3B-ProdigyPlusPlus/7d36e44e-a329-4b96-a891-365ad900f718.json b/data/hfopenllm_v2/bunnycore/Llama-3.2-3B-ProdigyPlusPlus/7d36e44e-a329-4b96-a891-365ad900f718.json
new file mode 100644
index 000000000..29f6d9a02
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+++ b/data/hfopenllm_v2/bunnycore/Llama-3.2-3B-ProdigyPlusPlus/7d36e44e-a329-4b96-a891-365ad900f718.json
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/bunnycore/Llama-3.2-3B-RP-DeepThink/a8c26325-1eec-43a6-a8ad-3bcb2e378924.json b/data/hfopenllm_v2/bunnycore/Llama-3.2-3B-RP-DeepThink/a8c26325-1eec-43a6-a8ad-3bcb2e378924.json
new file mode 100644
index 000000000..467586c96
--- /dev/null
+++ b/data/hfopenllm_v2/bunnycore/Llama-3.2-3B-RP-DeepThink/a8c26325-1eec-43a6-a8ad-3bcb2e378924.json
@@ -0,0 +1,132 @@
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/bunnycore/Llama-3.2-3B-RRStock/bde1a879-6852-42ce-9217-f427af85a46a.json b/data/hfopenllm_v2/bunnycore/Llama-3.2-3B-RRStock/bde1a879-6852-42ce-9217-f427af85a46a.json
new file mode 100644
index 000000000..aa68c7658
--- /dev/null
+++ b/data/hfopenllm_v2/bunnycore/Llama-3.2-3B-RRStock/bde1a879-6852-42ce-9217-f427af85a46a.json
@@ -0,0 +1,132 @@
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/bunnycore/Llama-3.2-3B-ToxicKod/dd7a0377-f4d6-4390-b9f2-bf50b05ec0f7.json b/data/hfopenllm_v2/bunnycore/Llama-3.2-3B-ToxicKod/dd7a0377-f4d6-4390-b9f2-bf50b05ec0f7.json
new file mode 100644
index 000000000..69e6b8e9a
--- /dev/null
+++ b/data/hfopenllm_v2/bunnycore/Llama-3.2-3B-ToxicKod/dd7a0377-f4d6-4390-b9f2-bf50b05ec0f7.json
@@ -0,0 +1,132 @@
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/bunnycore/Llama-3.2-3b-RP-Toxic-Fuse/12cbf241-d6d4-4d25-ad3d-13a42d7adc74.json b/data/hfopenllm_v2/bunnycore/Llama-3.2-3b-RP-Toxic-Fuse/12cbf241-d6d4-4d25-ad3d-13a42d7adc74.json
new file mode 100644
index 000000000..3cdd73e74
--- /dev/null
+++ b/data/hfopenllm_v2/bunnycore/Llama-3.2-3b-RP-Toxic-Fuse/12cbf241-d6d4-4d25-ad3d-13a42d7adc74.json
@@ -0,0 +1,132 @@
+{
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+  "source_metadata": {
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+    "id": "bunnycore/Llama-3.2-3b-RP-Toxic-Fuse",
+    "developer": "bunnycore",
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+      },
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+    {
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+      },
+      "metric_config": {
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/bunnycore/Maestro-S1k-7B-Sce/1f66fd7c-40ee-4249-8963-5c7bb93a3eaf.json b/data/hfopenllm_v2/bunnycore/Maestro-S1k-7B-Sce/1f66fd7c-40ee-4249-8963-5c7bb93a3eaf.json
new file mode 100644
index 000000000..56e2b2c00
--- /dev/null
+++ b/data/hfopenllm_v2/bunnycore/Maestro-S1k-7B-Sce/1f66fd7c-40ee-4249-8963-5c7bb93a3eaf.json
@@ -0,0 +1,132 @@
+{
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+  "source_metadata": {
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+    "source_type": "documentation",
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+    "name": "Maestro-S1k-7B-Sce",
+    "id": "bunnycore/Maestro-S1k-7B-Sce",
+    "developer": "bunnycore",
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+    }
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
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+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
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+    },
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+        "hf_repo": "TAUR-Lab/MuSR"
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+        "evaluation_description": "Accuracy on MUSR",
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+        "hf_repo": "TIGER-Lab/MMLU-Pro"
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/bunnycore/Maestro-S1k-7B-Sce/cc0c2de6-5a8d-4229-bd92-a1ad0b95a6b0.json b/data/hfopenllm_v2/bunnycore/Maestro-S1k-7B-Sce/cc0c2de6-5a8d-4229-bd92-a1ad0b95a6b0.json
deleted file mode 100644
index 5906dd05a..000000000
--- a/data/hfopenllm_v2/bunnycore/Maestro-S1k-7B-Sce/cc0c2de6-5a8d-4229-bd92-a1ad0b95a6b0.json
+++ /dev/null
@@ -1,105 +0,0 @@
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-  "source_data": [
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new file mode 100644
index 000000000..700136bdc
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diff --git a/data/hfopenllm_v2/bunnycore/Phi-4-Model-Stock-v2/96c3fd80-a601-4629-a1ab-bf7f366a909a.json b/data/hfopenllm_v2/bunnycore/Phi-4-Model-Stock-v2/96c3fd80-a601-4629-a1ab-bf7f366a909a.json
new file mode 100644
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diff --git a/data/hfopenllm_v2/bunnycore/Phi-4-Model-Stock-v3/1302c9a5-d35c-400c-b9f3-d990243e5d59.json b/data/hfopenllm_v2/bunnycore/Phi-4-Model-Stock-v3/1302c9a5-d35c-400c-b9f3-d990243e5d59.json
new file mode 100644
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diff --git a/data/hfopenllm_v2/bunnycore/Phi-4-Model-Stock-v4/c7f48bbf-6583-4ddd-ae4d-671c43218dae.json b/data/hfopenllm_v2/bunnycore/Phi-4-Model-Stock-v4/c7f48bbf-6583-4ddd-ae4d-671c43218dae.json
new file mode 100644
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/bunnycore/Phi-4-Model-Stock/5f07e092-2eb0-44c2-b2ce-5f1b31a9ea99.json b/data/hfopenllm_v2/bunnycore/Phi-4-Model-Stock/5f07e092-2eb0-44c2-b2ce-5f1b31a9ea99.json
new file mode 100644
index 000000000..fd4a9988a
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diff --git a/data/hfopenllm_v2/bunnycore/Phi-4-RP-v0/15701682-97ce-46cf-8010-a6bdeaf8c7aa.json b/data/hfopenllm_v2/bunnycore/Phi-4-RP-v0/15701682-97ce-46cf-8010-a6bdeaf8c7aa.json
new file mode 100644
index 000000000..695b852da
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diff --git a/data/hfopenllm_v2/bunnycore/Phi-4-RR-Shoup/c6eecf0b-fa16-484a-8eeb-d196203b3c3e.json b/data/hfopenllm_v2/bunnycore/Phi-4-RR-Shoup/c6eecf0b-fa16-484a-8eeb-d196203b3c3e.json
new file mode 100644
index 000000000..a4fe6d434
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diff --git a/data/hfopenllm_v2/bunnycore/Phi-4-RStock-v0.1/4337b1c1-cc00-4a15-8148-e8d0739561b9.json b/data/hfopenllm_v2/bunnycore/Phi-4-RStock-v0.1/4337b1c1-cc00-4a15-8148-e8d0739561b9.json
new file mode 100644
index 000000000..476936c1d
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+++ b/data/hfopenllm_v2/bunnycore/Phi-4-RStock-v0.1/4337b1c1-cc00-4a15-8148-e8d0739561b9.json
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diff --git a/data/hfopenllm_v2/bunnycore/Phi-4-ReasoningRP/1151ee14-8fe9-4f97-808d-8103b353c2ec.json b/data/hfopenllm_v2/bunnycore/Phi-4-ReasoningRP/1151ee14-8fe9-4f97-808d-8103b353c2ec.json
new file mode 100644
index 000000000..c71d4c31e
--- /dev/null
+++ b/data/hfopenllm_v2/bunnycore/Phi-4-ReasoningRP/1151ee14-8fe9-4f97-808d-8103b353c2ec.json
@@ -0,0 +1,132 @@
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diff --git a/data/hfopenllm_v2/bunnycore/Phi-4-Sce-exp-v0.1/a2c18179-aca3-422c-b9f5-8345109cea13.json b/data/hfopenllm_v2/bunnycore/Phi-4-Sce-exp-v0.1/a2c18179-aca3-422c-b9f5-8345109cea13.json
new file mode 100644
index 000000000..ca8ff9b68
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+++ b/data/hfopenllm_v2/bunnycore/Phi-4-Sce-exp-v0.1/a2c18179-aca3-422c-b9f5-8345109cea13.json
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new file mode 100644
index 000000000..d7f7a2004
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diff --git a/data/hfopenllm_v2/bunnycore/Phi-4-Stock-RP/567baf6d-99f9-46a5-8c40-c6899986f1ff.json b/data/hfopenllm_v2/bunnycore/Phi-4-Stock-RP/567baf6d-99f9-46a5-8c40-c6899986f1ff.json
new file mode 100644
index 000000000..bfb812571
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diff --git a/data/hfopenllm_v2/bunnycore/Phi-4-Trim-Exp1/a337df3a-28ff-46c9-adae-4bc029937101.json b/data/hfopenllm_v2/bunnycore/Phi-4-Trim-Exp1/a337df3a-28ff-46c9-adae-4bc029937101.json
new file mode 100644
index 000000000..803b9c23e
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diff --git a/data/hfopenllm_v2/bunnycore/Phi-Seek-4-Sce-V1/b201a849-44e9-4598-918b-ffa27c894ee9.json b/data/hfopenllm_v2/bunnycore/Phi-Seek-4-Sce-V1/b201a849-44e9-4598-918b-ffa27c894ee9.json
new file mode 100644
index 000000000..b2a61d834
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+++ b/data/hfopenllm_v2/bunnycore/Phi-Seek-4-Sce-V1/b201a849-44e9-4598-918b-ffa27c894ee9.json
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+      },
+      "score_details": {
+        "score": 0.276
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3982
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5123
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/bunnycore/Qandora-2.5-7B-Creative/acd82774-f29a-4b19-b08c-693706bb4603.json b/data/hfopenllm_v2/bunnycore/Qandora-2.5-7B-Creative/acd82774-f29a-4b19-b08c-693706bb4603.json
deleted file mode 100644
index 0c0ff5166..000000000
--- a/data/hfopenllm_v2/bunnycore/Qandora-2.5-7B-Creative/acd82774-f29a-4b19-b08c-693706bb4603.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/bunnycore_Qandora-2.5-7B-Creative/1762652580.0529459",
-  "retrieved_timestamp": "1762652580.052947",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "bunnycore/Qandora-2.5-7B-Creative",
-    "developer": "bunnycore",
-    "inference_platform": "unknown",
-    "id": "bunnycore/Qandora-2.5-7B-Creative",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.616
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6803148978044922
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5541763892398439
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30589123867069484
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3104026845637584
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4211875
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4479720744680851
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/bunnycore/Qandora-2.5-7B-Creative/dd87ebf3-3088-43b1-851c-a97d12a68ea8.json b/data/hfopenllm_v2/bunnycore/Qandora-2.5-7B-Creative/dd87ebf3-3088-43b1-851c-a97d12a68ea8.json
new file mode 100644
index 000000000..3f60d9d68
--- /dev/null
+++ b/data/hfopenllm_v2/bunnycore/Qandora-2.5-7B-Creative/dd87ebf3-3088-43b1-851c-a97d12a68ea8.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/bunnycore_Qandora-2.5-7B-Creative/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qandora-2.5-7B-Creative",
+    "id": "bunnycore/Qandora-2.5-7B-Creative",
+    "developer": "bunnycore",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6803
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5542
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3059
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3104
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4212
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.448
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/bunnycore/QandoraExp-7B-Persona/1b3ef805-8b0c-44bf-b048-773a0dd94d0d.json b/data/hfopenllm_v2/bunnycore/QandoraExp-7B-Persona/1b3ef805-8b0c-44bf-b048-773a0dd94d0d.json
new file mode 100644
index 000000000..3676e6214
--- /dev/null
+++ b/data/hfopenllm_v2/bunnycore/QandoraExp-7B-Persona/1b3ef805-8b0c-44bf-b048-773a0dd94d0d.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/bunnycore_QandoraExp-7B-Persona/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "QandoraExp-7B-Persona",
+    "id": "bunnycore/QandoraExp-7B-Persona",
+    "developer": "bunnycore",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6247
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5558
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3104
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3146
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4372
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4407
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/bunnycore/QandoraExp-7B-Persona/4e9dc7ca-f4f2-4c1f-b532-628a8d9d515b.json b/data/hfopenllm_v2/bunnycore/QandoraExp-7B-Persona/4e9dc7ca-f4f2-4c1f-b532-628a8d9d515b.json
deleted file mode 100644
index bcb3129c6..000000000
--- a/data/hfopenllm_v2/bunnycore/QandoraExp-7B-Persona/4e9dc7ca-f4f2-4c1f-b532-628a8d9d515b.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/bunnycore_QandoraExp-7B-Persona/1762652580.0533981",
-  "retrieved_timestamp": "1762652580.053399",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "bunnycore/QandoraExp-7B-Persona",
-    "developer": "bunnycore",
-    "inference_platform": "unknown",
-    "id": "bunnycore/QandoraExp-7B-Persona",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.616
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6246858335882126
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5558337526959515
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3104229607250755
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3145973154362416
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.43715624999999997
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.44074135638297873
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/bunnycore/QandoraExp-7B-v2/220cb478-58c0-4028-b51a-ec5fe1050746.json b/data/hfopenllm_v2/bunnycore/QandoraExp-7B-v2/220cb478-58c0-4028-b51a-ec5fe1050746.json
new file mode 100644
index 000000000..69de747fd
--- /dev/null
+++ b/data/hfopenllm_v2/bunnycore/QandoraExp-7B-v2/220cb478-58c0-4028-b51a-ec5fe1050746.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/bunnycore_QandoraExp-7B-v2/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "QandoraExp-7B-v2",
+    "id": "bunnycore/QandoraExp-7B-v2",
+    "developer": "bunnycore",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5607
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5445
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4713
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3029
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4045
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3909
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/bunnycore/QandoraExp-7B-v2/85bc0517-382e-4a4c-ac31-ee6de74d2c8f.json b/data/hfopenllm_v2/bunnycore/QandoraExp-7B-v2/85bc0517-382e-4a4c-ac31-ee6de74d2c8f.json
deleted file mode 100644
index 0e629df4f..000000000
--- a/data/hfopenllm_v2/bunnycore/QandoraExp-7B-v2/85bc0517-382e-4a4c-ac31-ee6de74d2c8f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/bunnycore_QandoraExp-7B-v2/1762652580.053621",
-  "retrieved_timestamp": "1762652580.053621",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "bunnycore/QandoraExp-7B-v2",
-    "developer": "bunnycore",
-    "inference_platform": "unknown",
-    "id": "bunnycore/QandoraExp-7B-v2",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.616
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5606889719278182
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5444864824489132
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.47129909365558914
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3028523489932886
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.40454166666666663
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.390874335106383
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/bunnycore/QandoraExp-7B/17cb8ab1-e7ba-4daf-95d4-2cdbd2777434.json b/data/hfopenllm_v2/bunnycore/QandoraExp-7B/17cb8ab1-e7ba-4daf-95d4-2cdbd2777434.json
new file mode 100644
index 000000000..7fc71a8b5
--- /dev/null
+++ b/data/hfopenllm_v2/bunnycore/QandoraExp-7B/17cb8ab1-e7ba-4daf-95d4-2cdbd2777434.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/bunnycore_QandoraExp-7B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "QandoraExp-7B",
+    "id": "bunnycore/QandoraExp-7B",
+    "developer": "bunnycore",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7509
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5478
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4743
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3104
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4312
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.441
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/bunnycore/QandoraExp-7B/744f9f56-fbb4-450f-9427-35e6e49ca014.json b/data/hfopenllm_v2/bunnycore/QandoraExp-7B/744f9f56-fbb4-450f-9427-35e6e49ca014.json
deleted file mode 100644
index 8cc5e2af3..000000000
--- a/data/hfopenllm_v2/bunnycore/QandoraExp-7B/744f9f56-fbb4-450f-9427-35e6e49ca014.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/bunnycore_QandoraExp-7B/1762652580.0531762",
-  "retrieved_timestamp": "1762652580.0531762",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "bunnycore/QandoraExp-7B",
-    "developer": "bunnycore",
-    "inference_platform": "unknown",
-    "id": "bunnycore/QandoraExp-7B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.616
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7509064836855099
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5477959748047708
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4743202416918429
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3104026845637584
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.43120833333333336
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4409906914893617
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/bunnycore/QwQen-3B-LCoT-R1/2b55023b-b8bc-42a2-aca8-dcaf39890232.json b/data/hfopenllm_v2/bunnycore/QwQen-3B-LCoT-R1/2b55023b-b8bc-42a2-aca8-dcaf39890232.json
new file mode 100644
index 000000000..cfea94b78
--- /dev/null
+++ b/data/hfopenllm_v2/bunnycore/QwQen-3B-LCoT-R1/2b55023b-b8bc-42a2-aca8-dcaf39890232.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/bunnycore_QwQen-3B-LCoT-R1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "QwQen-3B-LCoT-R1",
+    "id": "bunnycore/QwQen-3B-LCoT-R1",
+    "developer": "bunnycore",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 3.085
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5342
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4799
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3353
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2617
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4138
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3723
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/bunnycore/QwQen-3B-LCoT-R1/636c4294-b3d0-42fc-b437-e4a80f70b4d9.json b/data/hfopenllm_v2/bunnycore/QwQen-3B-LCoT-R1/636c4294-b3d0-42fc-b437-e4a80f70b4d9.json
deleted file mode 100644
index f2251277f..000000000
--- a/data/hfopenllm_v2/bunnycore/QwQen-3B-LCoT-R1/636c4294-b3d0-42fc-b437-e4a80f70b4d9.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/bunnycore_QwQen-3B-LCoT-R1/1762652580.05408",
-  "retrieved_timestamp": "1762652580.054081",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "bunnycore/QwQen-3B-LCoT-R1",
-    "developer": "bunnycore",
-    "inference_platform": "unknown",
-    "id": "bunnycore/QwQen-3B-LCoT-R1",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 3.085
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.534160471992092
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4798600168403517
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.33534743202416917
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.26174496644295303
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41384375
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3723404255319149
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/bunnycore/QwQen-3B-LCoT/31736569-5992-4b1d-9d66-27a6c1620506.json b/data/hfopenllm_v2/bunnycore/QwQen-3B-LCoT/31736569-5992-4b1d-9d66-27a6c1620506.json
new file mode 100644
index 000000000..c7d4b48fe
--- /dev/null
+++ b/data/hfopenllm_v2/bunnycore/QwQen-3B-LCoT/31736569-5992-4b1d-9d66-27a6c1620506.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/bunnycore_QwQen-3B-LCoT/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
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+    "developer": "bunnycore",
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
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+        "score_type": "continuous",
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+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4899
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
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+        "score_type": "continuous",
+        "min_score": 0.0,
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
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+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3699
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/bunnycore/QwQen-3B-LCoT/bff23021-087b-4118-ba4d-219a97a1dedc.json b/data/hfopenllm_v2/bunnycore/QwQen-3B-LCoT/bff23021-087b-4118-ba4d-219a97a1dedc.json
deleted file mode 100644
index 92875a1f1..000000000
--- a/data/hfopenllm_v2/bunnycore/QwQen-3B-LCoT/bff23021-087b-4118-ba4d-219a97a1dedc.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/bunnycore_QwQen-3B-LCoT/1762652580.05384",
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
-    "name": "bunnycore/QwQen-3B-LCoT",
-    "developer": "bunnycore",
-    "inference_platform": "unknown",
-    "id": "bunnycore/QwQen-3B-LCoT",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 3.397
-    }
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-  "evaluation_results": [
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-      "evaluation_name": "IFEval",
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-        "score_type": "continuous",
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-        "max_score": 1
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-      "score_details": {
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-    {
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-        "lower_is_better": false,
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-}
diff --git a/data/hfopenllm_v2/bunnycore/Qwen-2.5-7B-Deep-Sky-T1/630b37b5-351c-403c-ac76-ccb68ffc5d53.json b/data/hfopenllm_v2/bunnycore/Qwen-2.5-7B-Deep-Sky-T1/630b37b5-351c-403c-ac76-ccb68ffc5d53.json
new file mode 100644
index 000000000..e8e23a052
--- /dev/null
+++ b/data/hfopenllm_v2/bunnycore/Qwen-2.5-7B-Deep-Sky-T1/630b37b5-351c-403c-ac76-ccb68ffc5d53.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/bunnycore_Qwen-2.5-7B-Deep-Sky-T1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen-2.5-7B-Deep-Sky-T1",
+    "id": "bunnycore/Qwen-2.5-7B-Deep-Sky-T1",
+    "developer": "bunnycore",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.613
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
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+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.414
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "max_score": 1.0
+      },
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+    },
+    {
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+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.281
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4018
+      }
+    },
+    {
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+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2104
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/bunnycore/Qwen-2.5-7B-Deep-Stock-v1/69cdef01-30dc-4f75-97fa-9daeebcec72f.json b/data/hfopenllm_v2/bunnycore/Qwen-2.5-7B-Deep-Stock-v1/69cdef01-30dc-4f75-97fa-9daeebcec72f.json
new file mode 100644
index 000000000..949efbe5f
--- /dev/null
+++ b/data/hfopenllm_v2/bunnycore/Qwen-2.5-7B-Deep-Stock-v1/69cdef01-30dc-4f75-97fa-9daeebcec72f.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/bunnycore_Qwen-2.5-7B-Deep-Stock-v1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen-2.5-7B-Deep-Stock-v1",
+    "id": "bunnycore/Qwen-2.5-7B-Deep-Stock-v1",
+    "developer": "bunnycore",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.613
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5695
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5361
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4109
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4066
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/bunnycore/Qwen-2.5-7B-Deep-Stock-v4/9aa1acb0-c791-4dea-aa1e-c912cea69466.json b/data/hfopenllm_v2/bunnycore/Qwen-2.5-7B-Deep-Stock-v4/9aa1acb0-c791-4dea-aa1e-c912cea69466.json
new file mode 100644
index 000000000..39d26d113
--- /dev/null
+++ b/data/hfopenllm_v2/bunnycore/Qwen-2.5-7B-Deep-Stock-v4/9aa1acb0-c791-4dea-aa1e-c912cea69466.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/bunnycore_Qwen-2.5-7B-Deep-Stock-v4/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen-2.5-7B-Deep-Stock-v4",
+    "id": "bunnycore/Qwen-2.5-7B-Deep-Stock-v4",
+    "developer": "bunnycore",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.613
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5453
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "max_score": 1.0
+      },
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+    {
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+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4342
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/bunnycore/Qwen-2.5-7B-Deep-Stock-v5/0c1d66f3-8fd7-47f2-8538-a1aa8985aebf.json b/data/hfopenllm_v2/bunnycore/Qwen-2.5-7B-Deep-Stock-v5/0c1d66f3-8fd7-47f2-8538-a1aa8985aebf.json
new file mode 100644
index 000000000..7ef80c9ec
--- /dev/null
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diff --git a/data/hfopenllm_v2/bunnycore/Qwen-2.5-7B-Exp-Sce/2872dcd9-421b-4346-812c-b27bb32c6e86.json b/data/hfopenllm_v2/bunnycore/Qwen-2.5-7B-Exp-Sce/2872dcd9-421b-4346-812c-b27bb32c6e86.json
new file mode 100644
index 000000000..e05a367ea
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diff --git a/data/hfopenllm_v2/bunnycore/Qwen-2.5-7B-R1-Stock/2f3e2fc0-f1e0-43cb-8a8c-6aadcc538646.json b/data/hfopenllm_v2/bunnycore/Qwen-2.5-7B-R1-Stock/2f3e2fc0-f1e0-43cb-8a8c-6aadcc538646.json
new file mode 100644
index 000000000..126635626
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diff --git a/data/hfopenllm_v2/bunnycore/Qwen-2.5-7B-Stock-Deep-Bespoke/d0a76497-84b0-45b9-b748-04ffe9bc13a3.json b/data/hfopenllm_v2/bunnycore/Qwen-2.5-7B-Stock-Deep-Bespoke/d0a76497-84b0-45b9-b748-04ffe9bc13a3.json
new file mode 100644
index 000000000..4940eaf52
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/bunnycore/Qwen-2.5-7b-S1k/185b6560-6790-417f-aeba-f7405fee808a.json b/data/hfopenllm_v2/bunnycore/Qwen-2.5-7b-S1k/185b6560-6790-417f-aeba-f7405fee808a.json
new file mode 100644
index 000000000..4b2686474
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/bunnycore/Qwen2.5-1.5B-Model-Stock/30a8074e-df03-4866-9b8d-a5a7eece3c71.json b/data/hfopenllm_v2/bunnycore/Qwen2.5-1.5B-Model-Stock/30a8074e-df03-4866-9b8d-a5a7eece3c71.json
new file mode 100644
index 000000000..3a805a02c
--- /dev/null
+++ b/data/hfopenllm_v2/bunnycore/Qwen2.5-1.5B-Model-Stock/30a8074e-df03-4866-9b8d-a5a7eece3c71.json
@@ -0,0 +1,132 @@
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/bunnycore/Qwen2.5-3B-Model-Stock-v2/ac8874ae-d6d6-45d3-aabc-06a3852f68d0.json b/data/hfopenllm_v2/bunnycore/Qwen2.5-3B-Model-Stock-v2/ac8874ae-d6d6-45d3-aabc-06a3852f68d0.json
new file mode 100644
index 000000000..edae05519
--- /dev/null
+++ b/data/hfopenllm_v2/bunnycore/Qwen2.5-3B-Model-Stock-v2/ac8874ae-d6d6-45d3-aabc-06a3852f68d0.json
@@ -0,0 +1,132 @@
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/bunnycore/Qwen2.5-3B-Model-Stock-v3.1/bc98b048-18d4-438e-80c4-0cd851798da5.json b/data/hfopenllm_v2/bunnycore/Qwen2.5-3B-Model-Stock-v3.1/bc98b048-18d4-438e-80c4-0cd851798da5.json
new file mode 100644
index 000000000..eae5a80e4
--- /dev/null
+++ b/data/hfopenllm_v2/bunnycore/Qwen2.5-3B-Model-Stock-v3.1/bc98b048-18d4-438e-80c4-0cd851798da5.json
@@ -0,0 +1,132 @@
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/bunnycore/Qwen2.5-3B-Model-Stock-v3.2/c88c011f-0a24-4e78-a104-035d25af2430.json b/data/hfopenllm_v2/bunnycore/Qwen2.5-3B-Model-Stock-v3.2/c88c011f-0a24-4e78-a104-035d25af2430.json
new file mode 100644
index 000000000..6dedfe6ac
--- /dev/null
+++ b/data/hfopenllm_v2/bunnycore/Qwen2.5-3B-Model-Stock-v3.2/c88c011f-0a24-4e78-a104-035d25af2430.json
@@ -0,0 +1,132 @@
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/bunnycore/Qwen2.5-3B-Model-Stock-v4.1/f9e3c31c-02c0-4f5e-ad4f-3be0801a0f41.json b/data/hfopenllm_v2/bunnycore/Qwen2.5-3B-Model-Stock-v4.1/f9e3c31c-02c0-4f5e-ad4f-3be0801a0f41.json
new file mode 100644
index 000000000..e50f85cd0
--- /dev/null
+++ b/data/hfopenllm_v2/bunnycore/Qwen2.5-3B-Model-Stock-v4.1/f9e3c31c-02c0-4f5e-ad4f-3be0801a0f41.json
@@ -0,0 +1,132 @@
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+    {
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/bunnycore/Qwen2.5-3B-Model-Stock/5484405a-2ec8-4515-af75-76a5dd348d3d.json b/data/hfopenllm_v2/bunnycore/Qwen2.5-3B-Model-Stock/5484405a-2ec8-4515-af75-76a5dd348d3d.json
new file mode 100644
index 000000000..1e65375e1
--- /dev/null
+++ b/data/hfopenllm_v2/bunnycore/Qwen2.5-3B-Model-Stock/5484405a-2ec8-4515-af75-76a5dd348d3d.json
@@ -0,0 +1,132 @@
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/bunnycore/Qwen2.5-3B-RP-Mix/7dc117b9-c2a2-44c1-8471-f3bc8a116e3e.json b/data/hfopenllm_v2/bunnycore/Qwen2.5-3B-RP-Mix/7dc117b9-c2a2-44c1-8471-f3bc8a116e3e.json
new file mode 100644
index 000000000..3bc4e4b91
--- /dev/null
+++ b/data/hfopenllm_v2/bunnycore/Qwen2.5-3B-RP-Mix/7dc117b9-c2a2-44c1-8471-f3bc8a116e3e.json
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/bunnycore/Qwen2.5-3B-RP-Thinker-V2/e2d314dd-b5b3-49b5-8e64-1e3464f4b963.json b/data/hfopenllm_v2/bunnycore/Qwen2.5-3B-RP-Thinker-V2/e2d314dd-b5b3-49b5-8e64-1e3464f4b963.json
new file mode 100644
index 000000000..8be20f53d
--- /dev/null
+++ b/data/hfopenllm_v2/bunnycore/Qwen2.5-3B-RP-Thinker-V2/e2d314dd-b5b3-49b5-8e64-1e3464f4b963.json
@@ -0,0 +1,132 @@
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/bunnycore/Qwen2.5-3B-RP-Thinker/7ecb453b-1ba7-44ec-abfd-1f8be4c817fd.json b/data/hfopenllm_v2/bunnycore/Qwen2.5-3B-RP-Thinker/7ecb453b-1ba7-44ec-abfd-1f8be4c817fd.json
new file mode 100644
index 000000000..aa4332eb8
--- /dev/null
+++ b/data/hfopenllm_v2/bunnycore/Qwen2.5-3B-RP-Thinker/7ecb453b-1ba7-44ec-abfd-1f8be4c817fd.json
@@ -0,0 +1,132 @@
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/bunnycore/Qwen2.5-7B-CyberRombos/d0a70e95-fc72-41c6-ac42-09b8f379b566.json b/data/hfopenllm_v2/bunnycore/Qwen2.5-7B-CyberRombos/d0a70e95-fc72-41c6-ac42-09b8f379b566.json
new file mode 100644
index 000000000..d0560f8b6
--- /dev/null
+++ b/data/hfopenllm_v2/bunnycore/Qwen2.5-7B-CyberRombos/d0a70e95-fc72-41c6-ac42-09b8f379b566.json
@@ -0,0 +1,132 @@
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/bunnycore/Qwen2.5-7B-Fuse-Exp/e2ef8ea6-b464-445e-81df-ef0779c1d0d4.json b/data/hfopenllm_v2/bunnycore/Qwen2.5-7B-Fuse-Exp/e2ef8ea6-b464-445e-81df-ef0779c1d0d4.json
new file mode 100644
index 000000000..3450ede55
--- /dev/null
+++ b/data/hfopenllm_v2/bunnycore/Qwen2.5-7B-Fuse-Exp/e2ef8ea6-b464-445e-81df-ef0779c1d0d4.json
@@ -0,0 +1,132 @@
+{
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+  "source_metadata": {
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+    "source_type": "documentation",
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+    "developer": "bunnycore",
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+    "additional_details": {
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+    }
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+  "evaluation_results": [
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+      },
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+        "max_score": 1.0
+      },
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+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
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+        "hf_repo": "TAUR-Lab/MuSR"
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+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
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+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/bunnycore/Qwen2.5-7B-Instruct-Fusion/6d88de9c-062d-4858-95ef-a05f6a29b6c3.json b/data/hfopenllm_v2/bunnycore/Qwen2.5-7B-Instruct-Fusion/6d88de9c-062d-4858-95ef-a05f6a29b6c3.json
deleted file mode 100644
index 97f3bf64e..000000000
--- a/data/hfopenllm_v2/bunnycore/Qwen2.5-7B-Instruct-Fusion/6d88de9c-062d-4858-95ef-a05f6a29b6c3.json
+++ /dev/null
@@ -1,105 +0,0 @@
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-}
diff --git a/data/hfopenllm_v2/bunnycore/Qwen2.5-7B-Instruct-Fusion/f3d7cca2-141c-4b84-abc4-396ad2d59e3c.json b/data/hfopenllm_v2/bunnycore/Qwen2.5-7B-Instruct-Fusion/f3d7cca2-141c-4b84-abc4-396ad2d59e3c.json
new file mode 100644
index 000000000..96f112f7d
--- /dev/null
+++ b/data/hfopenllm_v2/bunnycore/Qwen2.5-7B-Instruct-Fusion/f3d7cca2-141c-4b84-abc4-396ad2d59e3c.json
@@ -0,0 +1,132 @@
+{
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+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
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+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-7B-Instruct-Fusion",
+    "id": "bunnycore/Qwen2.5-7B-Instruct-Fusion",
+    "developer": "bunnycore",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
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+    }
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+        "hf_repo": "SaylorTwift/bbh"
+      },
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+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+    },
+    {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
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+        "evaluation_description": "Exact Match on MATH Level 5",
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+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
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+      }
+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
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+      "score_details": {
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+    },
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
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+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/bunnycore/Qwen2.5-7B-Instruct-Merge-Stock-v0.1/e3f48d7a-c8a3-4e75-99d6-7f2946696b12.json b/data/hfopenllm_v2/bunnycore/Qwen2.5-7B-Instruct-Merge-Stock-v0.1/e3f48d7a-c8a3-4e75-99d6-7f2946696b12.json
new file mode 100644
index 000000000..192a551c4
--- /dev/null
+++ b/data/hfopenllm_v2/bunnycore/Qwen2.5-7B-Instruct-Merge-Stock-v0.1/e3f48d7a-c8a3-4e75-99d6-7f2946696b12.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/bunnycore_Qwen2.5-7B-Instruct-Merge-Stock-v0.1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-7B-Instruct-Merge-Stock-v0.1",
+    "id": "bunnycore/Qwen2.5-7B-Instruct-Merge-Stock-v0.1",
+    "developer": "bunnycore",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.613
+    }
+  },
+  "evaluation_results": [
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
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+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7509
+      }
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+    {
+      "evaluation_name": "BBH",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5529
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
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+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+        "score": 0.3037
+      }
+    },
+    {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
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+        "hf_repo": "TIGER-Lab/MMLU-Pro"
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+      },
+      "score_details": {
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+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/bunnycore/Qwen2.5-7B-Instruct-Merge-Stock-v0.1/fe31c10e-8231-49f4-afb3-e2588396c032.json b/data/hfopenllm_v2/bunnycore/Qwen2.5-7B-Instruct-Merge-Stock-v0.1/fe31c10e-8231-49f4-afb3-e2588396c032.json
deleted file mode 100644
index 985f591cb..000000000
--- a/data/hfopenllm_v2/bunnycore/Qwen2.5-7B-Instruct-Merge-Stock-v0.1/fe31c10e-8231-49f4-afb3-e2588396c032.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/bunnycore_Qwen2.5-7B-Instruct-Merge-Stock-v0.1/1762652580.0587678",
-  "retrieved_timestamp": "1762652580.058769",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "bunnycore/Qwen2.5-7B-Instruct-Merge-Stock-v0.1",
-    "developer": "bunnycore",
-    "inference_platform": "unknown",
-    "id": "bunnycore/Qwen2.5-7B-Instruct-Merge-Stock-v0.1",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.613
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
-        "score": 0.7509064836855099
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-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
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-        "max_score": 1
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-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-    {
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-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
-        "score": 0.3036912751677852
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-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42311458333333335
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4383311170212766
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/bunnycore/Qwen2.5-7B-MixStock-Sce-V0.3/3feb9449-49a2-427f-a317-c21e6d1ca66c.json b/data/hfopenllm_v2/bunnycore/Qwen2.5-7B-MixStock-Sce-V0.3/3feb9449-49a2-427f-a317-c21e6d1ca66c.json
new file mode 100644
index 000000000..ce27f83f1
--- /dev/null
+++ b/data/hfopenllm_v2/bunnycore/Qwen2.5-7B-MixStock-Sce-V0.3/3feb9449-49a2-427f-a317-c21e6d1ca66c.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/bunnycore_Qwen2.5-7B-MixStock-Sce-V0.3/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-7B-MixStock-Sce-V0.3",
+    "id": "bunnycore/Qwen2.5-7B-MixStock-Sce-V0.3",
+    "developer": "bunnycore",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.613
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.212
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3479
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2576
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2576
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3714
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1779
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/bunnycore/Qwen2.5-7B-MixStock-V0.1/6359e37e-0405-436b-903c-8f0e740dd6c7.json b/data/hfopenllm_v2/bunnycore/Qwen2.5-7B-MixStock-V0.1/6359e37e-0405-436b-903c-8f0e740dd6c7.json
new file mode 100644
index 000000000..cda1c1002
--- /dev/null
+++ b/data/hfopenllm_v2/bunnycore/Qwen2.5-7B-MixStock-V0.1/6359e37e-0405-436b-903c-8f0e740dd6c7.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/bunnycore_Qwen2.5-7B-MixStock-V0.1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-7B-MixStock-V0.1",
+    "id": "bunnycore/Qwen2.5-7B-MixStock-V0.1",
+    "developer": "bunnycore",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.613
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7673
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5479
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3172
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3003
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4416
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4256
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/bunnycore/Qwen2.5-7B-R1-Bespoke-Stock/f5daed76-f6e5-4a7d-84d7-80537a046b83.json b/data/hfopenllm_v2/bunnycore/Qwen2.5-7B-R1-Bespoke-Stock/f5daed76-f6e5-4a7d-84d7-80537a046b83.json
new file mode 100644
index 000000000..7a2c17b90
--- /dev/null
+++ b/data/hfopenllm_v2/bunnycore/Qwen2.5-7B-R1-Bespoke-Stock/f5daed76-f6e5-4a7d-84d7-80537a046b83.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/bunnycore_Qwen2.5-7B-R1-Bespoke-Stock/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-7B-R1-Bespoke-Stock",
+    "id": "bunnycore/Qwen2.5-7B-R1-Bespoke-Stock",
+    "developer": "bunnycore",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.613
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3726
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4822
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2047
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2785
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3926
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3472
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/bunnycore/Qwen2.5-7B-R1-Bespoke-Task/03af2b1d-989f-4afc-ab13-8793093b9c50.json b/data/hfopenllm_v2/bunnycore/Qwen2.5-7B-R1-Bespoke-Task/03af2b1d-989f-4afc-ab13-8793093b9c50.json
new file mode 100644
index 000000000..c62431a02
--- /dev/null
+++ b/data/hfopenllm_v2/bunnycore/Qwen2.5-7B-R1-Bespoke-Task/03af2b1d-989f-4afc-ab13-8793093b9c50.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/bunnycore_Qwen2.5-7B-R1-Bespoke-Task/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-7B-R1-Bespoke-Task",
+    "id": "bunnycore/Qwen2.5-7B-R1-Bespoke-Task",
+    "developer": "bunnycore",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.613
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3787
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.415
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1782
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2534
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/bunnycore/Qwen2.5-7B-RRP-1M-Thinker/5db7ec54-7feb-4c11-b2e0-042226ba1f94.json b/data/hfopenllm_v2/bunnycore/Qwen2.5-7B-RRP-1M-Thinker/5db7ec54-7feb-4c11-b2e0-042226ba1f94.json
new file mode 100644
index 000000000..8ddd86827
--- /dev/null
+++ b/data/hfopenllm_v2/bunnycore/Qwen2.5-7B-RRP-1M-Thinker/5db7ec54-7feb-4c11-b2e0-042226ba1f94.json
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/bunnycore/Qwen2.5-7B-RRP-1M/f1f5615d-8a78-43c9-b5c6-edc180252381.json b/data/hfopenllm_v2/bunnycore/Qwen2.5-7B-RRP-1M/f1f5615d-8a78-43c9-b5c6-edc180252381.json
new file mode 100644
index 000000000..80b3d9332
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+++ b/data/hfopenllm_v2/bunnycore/Qwen2.5-7B-RRP-1M/f1f5615d-8a78-43c9-b5c6-edc180252381.json
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/bunnycore/Qwen2.5-7B-RRP-ID/9c89bf8f-4b8a-4c01-8685-fafc687c673e.json b/data/hfopenllm_v2/bunnycore/Qwen2.5-7B-RRP-ID/9c89bf8f-4b8a-4c01-8685-fafc687c673e.json
new file mode 100644
index 000000000..ebca5e44d
--- /dev/null
+++ b/data/hfopenllm_v2/bunnycore/Qwen2.5-7B-RRP-ID/9c89bf8f-4b8a-4c01-8685-fafc687c673e.json
@@ -0,0 +1,132 @@
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/bunnycore/Qwen2.5-7B-Sky-R1-Mini/58b69c0f-826d-414f-915e-dd0b78d9298c.json b/data/hfopenllm_v2/bunnycore/Qwen2.5-7B-Sky-R1-Mini/58b69c0f-826d-414f-915e-dd0b78d9298c.json
new file mode 100644
index 000000000..592f70f7e
--- /dev/null
+++ b/data/hfopenllm_v2/bunnycore/Qwen2.5-7B-Sky-R1-Mini/58b69c0f-826d-414f-915e-dd0b78d9298c.json
@@ -0,0 +1,132 @@
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/bunnycore/QwenMosaic-7B/101ea548-2ffe-4f47-b3b5-5fbe9a3854b4.json b/data/hfopenllm_v2/bunnycore/QwenMosaic-7B/101ea548-2ffe-4f47-b3b5-5fbe9a3854b4.json
new file mode 100644
index 000000000..c1f5056f6
--- /dev/null
+++ b/data/hfopenllm_v2/bunnycore/QwenMosaic-7B/101ea548-2ffe-4f47-b3b5-5fbe9a3854b4.json
@@ -0,0 +1,132 @@
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+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4441
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2609
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4164
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.431
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/bunnycore/Smol-Llama-3.2-3B/259c4798-ff03-4f58-8fb4-59150710212b.json b/data/hfopenllm_v2/bunnycore/Smol-Llama-3.2-3B/259c4798-ff03-4f58-8fb4-59150710212b.json
new file mode 100644
index 000000000..3ffc953ab
--- /dev/null
+++ b/data/hfopenllm_v2/bunnycore/Smol-Llama-3.2-3B/259c4798-ff03-4f58-8fb4-59150710212b.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/bunnycore_Smol-Llama-3.2-3B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Smol-Llama-3.2-3B",
+    "id": "bunnycore/Smol-Llama-3.2-3B",
+    "developer": "bunnycore",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 3.607
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6679
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4539
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1382
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2768
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.346
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3228
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/bunnycore/SmolLM2-1.7-Persona/5249691a-3672-4ccd-98dd-d9b937bca750.json b/data/hfopenllm_v2/bunnycore/SmolLM2-1.7-Persona/5249691a-3672-4ccd-98dd-d9b937bca750.json
deleted file mode 100644
index 012e0c9bc..000000000
--- a/data/hfopenllm_v2/bunnycore/SmolLM2-1.7-Persona/5249691a-3672-4ccd-98dd-d9b937bca750.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/bunnycore_SmolLM2-1.7-Persona/1762652580.062155",
-  "retrieved_timestamp": "1762652580.062156",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "bunnycore/SmolLM2-1.7-Persona",
-    "developer": "bunnycore",
-    "inference_platform": "unknown",
-    "id": "bunnycore/SmolLM2-1.7-Persona",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 1.711
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5465254413844156
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3623213930905173
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.05664652567975831
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2634228187919463
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.334125
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1973902925531915
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/bunnycore/SmolLM2-1.7-Persona/f731caa1-f777-494a-8490-da0c815f0708.json b/data/hfopenllm_v2/bunnycore/SmolLM2-1.7-Persona/f731caa1-f777-494a-8490-da0c815f0708.json
new file mode 100644
index 000000000..1cde2b7fa
--- /dev/null
+++ b/data/hfopenllm_v2/bunnycore/SmolLM2-1.7-Persona/f731caa1-f777-494a-8490-da0c815f0708.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/bunnycore_SmolLM2-1.7-Persona/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "SmolLM2-1.7-Persona",
+    "id": "bunnycore/SmolLM2-1.7-Persona",
+    "developer": "bunnycore",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 1.711
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5465
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3623
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0566
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2634
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3341
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1974
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/bunnycore/SmolLM2-1.7B-roleplay-lora/ae109e51-8631-4e09-8839-8e9ed74da4c7.json b/data/hfopenllm_v2/bunnycore/SmolLM2-1.7B-roleplay-lora/ae109e51-8631-4e09-8839-8e9ed74da4c7.json
deleted file mode 100644
index 8f76bc1a4..000000000
--- a/data/hfopenllm_v2/bunnycore/SmolLM2-1.7B-roleplay-lora/ae109e51-8631-4e09-8839-8e9ed74da4c7.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/bunnycore_SmolLM2-1.7B-roleplay-lora/1762652580.062429",
-  "retrieved_timestamp": "1762652580.06243",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "bunnycore/SmolLM2-1.7B-roleplay-lora",
-    "developer": "bunnycore",
-    "inference_platform": "unknown",
-    "id": "bunnycore/SmolLM2-1.7B-roleplay-lora",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "?",
-      "params_billions": 3.423
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5382075116247114
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3610343412303005
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.052870090634441085
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2751677852348993
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.33945833333333336
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.19664228723404256
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/bunnycore/SmolLM2-1.7B-roleplay-lora/d4d25d38-b21a-490e-9ca9-556504ec00ea.json b/data/hfopenllm_v2/bunnycore/SmolLM2-1.7B-roleplay-lora/d4d25d38-b21a-490e-9ca9-556504ec00ea.json
new file mode 100644
index 000000000..fc1b7c8b5
--- /dev/null
+++ b/data/hfopenllm_v2/bunnycore/SmolLM2-1.7B-roleplay-lora/d4d25d38-b21a-490e-9ca9-556504ec00ea.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/bunnycore_SmolLM2-1.7B-roleplay-lora/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "SmolLM2-1.7B-roleplay-lora",
+    "id": "bunnycore/SmolLM2-1.7B-roleplay-lora",
+    "developer": "bunnycore",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "?",
+      "params_billions": 3.423
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5382
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.361
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0529
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2752
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3395
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1966
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/bunnycore/Tulu-3.1-8B-SuperNova/75bb85a3-40bb-4630-95a0-50e40b008412.json b/data/hfopenllm_v2/bunnycore/Tulu-3.1-8B-SuperNova/75bb85a3-40bb-4630-95a0-50e40b008412.json
new file mode 100644
index 000000000..c128cbf2c
--- /dev/null
+++ b/data/hfopenllm_v2/bunnycore/Tulu-3.1-8B-SuperNova/75bb85a3-40bb-4630-95a0-50e40b008412.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/bunnycore_Tulu-3.1-8B-SuperNova/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Tulu-3.1-8B-SuperNova",
+    "id": "bunnycore/Tulu-3.1-8B-SuperNova",
+    "developer": "bunnycore",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.8194
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5254
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2462
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.302
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3935
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3814
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/bunnycore/Tulu-3.1-8B-SuperNova/cd979586-e334-4964-b06c-f33c66f09c0e.json b/data/hfopenllm_v2/bunnycore/Tulu-3.1-8B-SuperNova/cd979586-e334-4964-b06c-f33c66f09c0e.json
deleted file mode 100644
index 13cb438c9..000000000
--- a/data/hfopenllm_v2/bunnycore/Tulu-3.1-8B-SuperNova/cd979586-e334-4964-b06c-f33c66f09c0e.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/bunnycore_Tulu-3.1-8B-SuperNova/1762652580.062763",
-  "retrieved_timestamp": "1762652580.0627651",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "bunnycore/Tulu-3.1-8B-SuperNova",
-    "developer": "bunnycore",
-    "inference_platform": "unknown",
-    "id": "bunnycore/Tulu-3.1-8B-SuperNova",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.8193748143813969
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5254122754311122
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.24622356495468278
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30201342281879195
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3935
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3813996010638298
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/byroneverson/Mistral-Small-Instruct-2409-abliterated/bb44f3ef-eefa-48ef-a257-2eb345c89a00.json b/data/hfopenllm_v2/byroneverson/Mistral-Small-Instruct-2409-abliterated/bb44f3ef-eefa-48ef-a257-2eb345c89a00.json
new file mode 100644
index 000000000..096e9bd79
--- /dev/null
+++ b/data/hfopenllm_v2/byroneverson/Mistral-Small-Instruct-2409-abliterated/bb44f3ef-eefa-48ef-a257-2eb345c89a00.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/byroneverson_Mistral-Small-Instruct-2409-abliterated/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Mistral-Small-Instruct-2409-abliterated",
+    "id": "byroneverson/Mistral-Small-Instruct-2409-abliterated",
+    "developer": "byroneverson",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 22.247
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6971
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5238
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2477
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3331
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3697
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3923
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/byroneverson/Mistral-Small-Instruct-2409-abliterated/ff0c627b-72b9-45d4-a385-49c8b0ae6b6e.json b/data/hfopenllm_v2/byroneverson/Mistral-Small-Instruct-2409-abliterated/ff0c627b-72b9-45d4-a385-49c8b0ae6b6e.json
deleted file mode 100644
index c1515e163..000000000
--- a/data/hfopenllm_v2/byroneverson/Mistral-Small-Instruct-2409-abliterated/ff0c627b-72b9-45d4-a385-49c8b0ae6b6e.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/byroneverson_Mistral-Small-Instruct-2409-abliterated/1762652580.063036",
-  "retrieved_timestamp": "1762652580.063037",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "byroneverson/Mistral-Small-Instruct-2409-abliterated",
-    "developer": "byroneverson",
-    "inference_platform": "unknown",
-    "id": "byroneverson/Mistral-Small-Instruct-2409-abliterated",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 22.247
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6970759806203096
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5237864400325174
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.24773413897280966
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.33305369127516776
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.36971875000000004
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.39228723404255317
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/byroneverson/Yi-1.5-9B-Chat-16K-abliterated/2dcf1771-3dbe-43ad-974c-54e2e2860bcc.json b/data/hfopenllm_v2/byroneverson/Yi-1.5-9B-Chat-16K-abliterated/2dcf1771-3dbe-43ad-974c-54e2e2860bcc.json
new file mode 100644
index 000000000..7084716cd
--- /dev/null
+++ b/data/hfopenllm_v2/byroneverson/Yi-1.5-9B-Chat-16K-abliterated/2dcf1771-3dbe-43ad-974c-54e2e2860bcc.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/byroneverson_Yi-1.5-9B-Chat-16K-abliterated/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Yi-1.5-9B-Chat-16K-abliterated",
+    "id": "byroneverson/Yi-1.5-9B-Chat-16K-abliterated",
+    "developer": "byroneverson",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.829
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5528
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5282
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1412
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3129
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4734
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3823
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/byroneverson/Yi-1.5-9B-Chat-16K-abliterated/dc783bb0-c784-4cf4-888b-36a3bfa37a84.json b/data/hfopenllm_v2/byroneverson/Yi-1.5-9B-Chat-16K-abliterated/dc783bb0-c784-4cf4-888b-36a3bfa37a84.json
deleted file mode 100644
index 6e12f3571..000000000
--- a/data/hfopenllm_v2/byroneverson/Yi-1.5-9B-Chat-16K-abliterated/dc783bb0-c784-4cf4-888b-36a3bfa37a84.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/byroneverson_Yi-1.5-9B-Chat-16K-abliterated/1762652580.068388",
-  "retrieved_timestamp": "1762652580.068392",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "byroneverson/Yi-1.5-9B-Chat-16K-abliterated",
-    "developer": "byroneverson",
-    "inference_platform": "unknown",
-    "id": "byroneverson/Yi-1.5-9B-Chat-16K-abliterated",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.829
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5528453392553979
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5282050829986801
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.14123867069486404
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.31291946308724833
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4734375
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.38231382978723405
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/byroneverson/Yi-1.5-9B-Chat-abliterated/345560e2-c981-4aca-9388-4f3a5e95ace8.json b/data/hfopenllm_v2/byroneverson/Yi-1.5-9B-Chat-abliterated/345560e2-c981-4aca-9388-4f3a5e95ace8.json
deleted file mode 100644
index 93b901e70..000000000
--- a/data/hfopenllm_v2/byroneverson/Yi-1.5-9B-Chat-abliterated/345560e2-c981-4aca-9388-4f3a5e95ace8.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/byroneverson_Yi-1.5-9B-Chat-abliterated/1762652580.070213",
-  "retrieved_timestamp": "1762652580.070215",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "byroneverson/Yi-1.5-9B-Chat-abliterated",
-    "developer": "byroneverson",
-    "inference_platform": "unknown",
-    "id": "byroneverson/Yi-1.5-9B-Chat-abliterated",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.829
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5723291976400395
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5401219363002313
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1661631419939577
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.29194630872483224
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.43886458333333334
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3715093085106383
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/byroneverson/Yi-1.5-9B-Chat-abliterated/caa0c8df-5488-4bf9-a5b8-0fff831e6732.json b/data/hfopenllm_v2/byroneverson/Yi-1.5-9B-Chat-abliterated/caa0c8df-5488-4bf9-a5b8-0fff831e6732.json
new file mode 100644
index 000000000..0098a2f51
--- /dev/null
+++ b/data/hfopenllm_v2/byroneverson/Yi-1.5-9B-Chat-abliterated/caa0c8df-5488-4bf9-a5b8-0fff831e6732.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/byroneverson_Yi-1.5-9B-Chat-abliterated/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Yi-1.5-9B-Chat-abliterated",
+    "id": "byroneverson/Yi-1.5-9B-Chat-abliterated",
+    "developer": "byroneverson",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.829
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5723
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5401
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1662
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2919
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4389
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3715
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/c10x/Q-Pluse/2093ba5f-d2f8-45d2-bcf7-ff48810c47af.json b/data/hfopenllm_v2/c10x/Q-Pluse/2093ba5f-d2f8-45d2-bcf7-ff48810c47af.json
deleted file mode 100644
index 23a4cc7af..000000000
--- a/data/hfopenllm_v2/c10x/Q-Pluse/2093ba5f-d2f8-45d2-bcf7-ff48810c47af.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/c10x_Q-Pluse/1762652580.070795",
-  "retrieved_timestamp": "1762652580.070796",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "c10x/Q-Pluse",
-    "developer": "c10x",
-    "inference_platform": "unknown",
-    "id": "c10x/Q-Pluse",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.616
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11228318638988993
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2875111436321769
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.0
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.24664429530201343
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.39381249999999995
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11353058510638298
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/c10x/Q-Pluse/c6f8e581-e849-4e28-b3a6-1838ee522770.json b/data/hfopenllm_v2/c10x/Q-Pluse/c6f8e581-e849-4e28-b3a6-1838ee522770.json
new file mode 100644
index 000000000..10eb44f61
--- /dev/null
+++ b/data/hfopenllm_v2/c10x/Q-Pluse/c6f8e581-e849-4e28-b3a6-1838ee522770.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/c10x_Q-Pluse/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Q-Pluse",
+    "id": "c10x/Q-Pluse",
+    "developer": "c10x",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1123
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2875
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2466
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3938
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1135
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/c10x/longthinker/f0c361a1-a3ac-4415-ab5d-069bdf27e7a3.json b/data/hfopenllm_v2/c10x/longthinker/f0c361a1-a3ac-4415-ab5d-069bdf27e7a3.json
new file mode 100644
index 000000000..c9bd5fd8a
--- /dev/null
+++ b/data/hfopenllm_v2/c10x/longthinker/f0c361a1-a3ac-4415-ab5d-069bdf27e7a3.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/c10x_longthinker/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "longthinker",
+    "id": "c10x/longthinker",
+    "developer": "c10x",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3609
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4927
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2319
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2643
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.391
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3527
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/c10x/longthinker/fe7bd3bb-71a4-46dd-a86d-b5a24b685fa5.json b/data/hfopenllm_v2/c10x/longthinker/fe7bd3bb-71a4-46dd-a86d-b5a24b685fa5.json
deleted file mode 100644
index 8d04b272c..000000000
--- a/data/hfopenllm_v2/c10x/longthinker/fe7bd3bb-71a4-46dd-a86d-b5a24b685fa5.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/c10x_longthinker/1762652580.078971",
-  "retrieved_timestamp": "1762652580.078974",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "c10x/longthinker",
-    "developer": "c10x",
-    "inference_platform": "unknown",
-    "id": "c10x/longthinker",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.36087913403103766
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.49274888053364546
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.23187311178247735
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.26426174496644295
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3909583333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3527260638297872
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/carsenk/flippa-v6/44129be7-f73d-4580-8375-e8ef324e73a8.json b/data/hfopenllm_v2/carsenk/flippa-v6/44129be7-f73d-4580-8375-e8ef324e73a8.json
new file mode 100644
index 000000000..5fe1e9b7d
--- /dev/null
+++ b/data/hfopenllm_v2/carsenk/flippa-v6/44129be7-f73d-4580-8375-e8ef324e73a8.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/carsenk_flippa-v6/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "flippa-v6",
+    "id": "carsenk/flippa-v6",
+    "developer": "carsenk",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "?",
+      "params_billions": 16.061
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3439
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5047
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1405
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2928
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4089
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3668
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/carsenk/flippa-v6/a4bcc6f3-b745-48f7-a394-90cd42363aae.json b/data/hfopenllm_v2/carsenk/flippa-v6/a4bcc6f3-b745-48f7-a394-90cd42363aae.json
deleted file mode 100644
index 166e6bed6..000000000
--- a/data/hfopenllm_v2/carsenk/flippa-v6/a4bcc6f3-b745-48f7-a394-90cd42363aae.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/carsenk_flippa-v6/1762652580.079394",
-  "retrieved_timestamp": "1762652580.079395",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "carsenk/flippa-v6",
-    "developer": "carsenk",
-    "inference_platform": "unknown",
-    "id": "carsenk/flippa-v6",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "?",
-      "params_billions": 16.061
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3439429602344003
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5046972457053399
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1404833836858006
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.29278523489932884
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.40887500000000004
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3667719414893617
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/carsenk/phi3.5_mini_exp_825_uncensored/2925ecde-a9a5-4369-b391-d23a8605d35c.json b/data/hfopenllm_v2/carsenk/phi3.5_mini_exp_825_uncensored/2925ecde-a9a5-4369-b391-d23a8605d35c.json
new file mode 100644
index 000000000..e36d77eec
--- /dev/null
+++ b/data/hfopenllm_v2/carsenk/phi3.5_mini_exp_825_uncensored/2925ecde-a9a5-4369-b391-d23a8605d35c.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/carsenk_phi3.5_mini_exp_825_uncensored/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "phi3.5_mini_exp_825_uncensored",
+    "id": "carsenk/phi3.5_mini_exp_825_uncensored",
+    "developer": "carsenk",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 3.821
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1364
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2965
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0106
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2492
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3644
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1175
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/cat-searcher/gemma-2-9b-it-sppo-iter-1-evol-1/8409e464-fd16-4b41-b533-2f6cae4fe894.json b/data/hfopenllm_v2/cat-searcher/gemma-2-9b-it-sppo-iter-1-evol-1/8409e464-fd16-4b41-b533-2f6cae4fe894.json
new file mode 100644
index 000000000..0abe1f2fd
--- /dev/null
+++ b/data/hfopenllm_v2/cat-searcher/gemma-2-9b-it-sppo-iter-1-evol-1/8409e464-fd16-4b41-b533-2f6cae4fe894.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/cat-searcher_gemma-2-9b-it-sppo-iter-1-evol-1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/cat-searcher/gemma-2-9b-it-sppo-iter-1/86f6c6eb-8b08-4e6c-a1bc-0d941a00f10b.json b/data/hfopenllm_v2/cat-searcher/gemma-2-9b-it-sppo-iter-1/86f6c6eb-8b08-4e6c-a1bc-0d941a00f10b.json
new file mode 100644
index 000000000..a688e85bd
--- /dev/null
+++ b/data/hfopenllm_v2/cat-searcher/gemma-2-9b-it-sppo-iter-1/86f6c6eb-8b08-4e6c-a1bc-0d941a00f10b.json
@@ -0,0 +1,132 @@
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+      },
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/cckm/tinymistral_950m/aa2e6df7-a0b0-42f7-8057-e2763fc34834.json b/data/hfopenllm_v2/cckm/tinymistral_950m/aa2e6df7-a0b0-42f7-8057-e2763fc34834.json
new file mode 100644
index 000000000..c5f1e1fe2
--- /dev/null
+++ b/data/hfopenllm_v2/cckm/tinymistral_950m/aa2e6df7-a0b0-42f7-8057-e2763fc34834.json
@@ -0,0 +1,132 @@
+{
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+  "evaluation_id": "hfopenllm_v2/cckm_tinymistral_950m/1770682486.623709",
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+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "tinymistral_950m",
+    "id": "cckm/tinymistral_950m",
+    "developer": "cckm",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 0.955
+    }
+  },
+  "evaluation_results": [
+    {
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+      "source_data": {
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+        "hf_repo": "google/IFEval"
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+        "score_type": "continuous",
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+        "max_score": 1.0
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+      }
+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
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+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
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+        "hf_repo": "TIGER-Lab/MMLU-Pro"
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+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/cgato/TheSalt-L3-8b-v0.3.2/2bf9a06e-f3bf-4b55-804b-e553a722e0de.json b/data/hfopenllm_v2/cgato/TheSalt-L3-8b-v0.3.2/2bf9a06e-f3bf-4b55-804b-e553a722e0de.json
new file mode 100644
index 000000000..56d6c2c5f
--- /dev/null
+++ b/data/hfopenllm_v2/cgato/TheSalt-L3-8b-v0.3.2/2bf9a06e-f3bf-4b55-804b-e553a722e0de.json
@@ -0,0 +1,132 @@
+{
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+  "source_metadata": {
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+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
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+  "model_info": {
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+    "developer": "cgato",
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+    "additional_details": {
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+        "hf_repo": "SaylorTwift/bbh"
+      },
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+        "evaluation_description": "Accuracy on BBH",
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+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+      }
+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
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+    },
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
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+        "score_type": "continuous",
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
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+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/cgato/TheSalt-L3-8b-v0.3.2/aa805bcc-3847-40b5-86eb-397982106d18.json b/data/hfopenllm_v2/cgato/TheSalt-L3-8b-v0.3.2/aa805bcc-3847-40b5-86eb-397982106d18.json
deleted file mode 100644
index 1db536fc9..000000000
--- a/data/hfopenllm_v2/cgato/TheSalt-L3-8b-v0.3.2/aa805bcc-3847-40b5-86eb-397982106d18.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
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-    "developer": "cgato",
-    "inference_platform": "unknown",
-    "id": "cgato/TheSalt-L3-8b-v0.3.2",
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-        "max_score": 1
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-        "max_score": 1
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-        "score_type": "continuous",
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-}
diff --git a/data/hfopenllm_v2/chargoddard/prometheus-2-llama-3-8b/b380a675-39ea-4950-ad0a-d9771f09ddde.json b/data/hfopenllm_v2/chargoddard/prometheus-2-llama-3-8b/b380a675-39ea-4950-ad0a-d9771f09ddde.json
new file mode 100644
index 000000000..fbec5b2fc
--- /dev/null
+++ b/data/hfopenllm_v2/chargoddard/prometheus-2-llama-3-8b/b380a675-39ea-4950-ad0a-d9771f09ddde.json
@@ -0,0 +1,132 @@
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
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+        "hf_repo": "TIGER-Lab/MMLU-Pro"
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/chujiezheng/Llama-3-Instruct-8B-SimPO-ExPO/482358eb-7d3b-4de0-b5d9-451308f104e2.json b/data/hfopenllm_v2/chujiezheng/Llama-3-Instruct-8B-SimPO-ExPO/482358eb-7d3b-4de0-b5d9-451308f104e2.json
new file mode 100644
index 000000000..122ad0855
--- /dev/null
+++ b/data/hfopenllm_v2/chujiezheng/Llama-3-Instruct-8B-SimPO-ExPO/482358eb-7d3b-4de0-b5d9-451308f104e2.json
@@ -0,0 +1,132 @@
+{
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+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
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+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
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+  "model_info": {
+    "name": "Llama-3-Instruct-8B-SimPO-ExPO",
+    "id": "chujiezheng/Llama-3-Instruct-8B-SimPO-ExPO",
+    "developer": "chujiezheng",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
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+        "source_type": "hf_dataset",
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+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "hf_repo": "SaylorTwift/bbh"
+      },
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+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "max_score": 1.0
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
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+        "hf_repo": "TAUR-Lab/MuSR"
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+        "hf_repo": "TIGER-Lab/MMLU-Pro"
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+    }
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/chujiezheng/Llama-3-Instruct-8B-SimPO-ExPO/bdf85c5c-6eaa-4df6-a393-66b71aa28952.json b/data/hfopenllm_v2/chujiezheng/Llama-3-Instruct-8B-SimPO-ExPO/bdf85c5c-6eaa-4df6-a393-66b71aa28952.json
deleted file mode 100644
index 6470e538f..000000000
--- a/data/hfopenllm_v2/chujiezheng/Llama-3-Instruct-8B-SimPO-ExPO/bdf85c5c-6eaa-4df6-a393-66b71aa28952.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/chujiezheng/Mistral7B-PairRM-SPPO-ExPO/ef04a83d-7b89-43ec-ba33-30e1006422dc.json b/data/hfopenllm_v2/chujiezheng/Mistral7B-PairRM-SPPO-ExPO/ef04a83d-7b89-43ec-ba33-30e1006422dc.json
new file mode 100644
index 000000000..c2d924a8a
--- /dev/null
+++ b/data/hfopenllm_v2/chujiezheng/Mistral7B-PairRM-SPPO-ExPO/ef04a83d-7b89-43ec-ba33-30e1006422dc.json
@@ -0,0 +1,132 @@
+{
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+  "evaluation_id": "hfopenllm_v2/chujiezheng_Mistral7B-PairRM-SPPO-ExPO/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Mistral7B-PairRM-SPPO-ExPO",
+    "id": "chujiezheng/Mistral7B-PairRM-SPPO-ExPO",
+    "developer": "chujiezheng",
+    "inference_platform": "unknown",
+    "additional_details": {
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+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
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+        "source_type": "hf_dataset",
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+      },
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+        "score_type": "continuous",
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+      },
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+    },
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
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+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
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+        "evaluation_description": "Exact Match on MATH Level 5",
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+    },
+    {
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2768
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4055
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+    },
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+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2552
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/cjvt/GaMS-1B/7b64cf2e-c7c6-4b48-8e51-ea2aa0914145.json b/data/hfopenllm_v2/cjvt/GaMS-1B/7b64cf2e-c7c6-4b48-8e51-ea2aa0914145.json
new file mode 100644
index 000000000..9129e2209
--- /dev/null
+++ b/data/hfopenllm_v2/cjvt/GaMS-1B/7b64cf2e-c7c6-4b48-8e51-ea2aa0914145.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/cjvt_GaMS-1B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "GaMS-1B",
+    "id": "cjvt/GaMS-1B",
+    "developer": "cjvt",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "OPTForCausalLM",
+      "params_billions": 1.54
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+  },
+  "evaluation_results": [
+    {
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+        "source_type": "hf_dataset",
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+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
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+      },
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+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
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+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
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+      "source_data": {
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+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+    {
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+        "hf_repo": "Idavidrein/gpqa"
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+        "score_type": "continuous",
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+        "max_score": 1.0
+      },
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+    {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3684
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+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
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+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
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+        "min_score": 0.0,
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+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/cjvt/GaMS-1B/e9acbb25-2b96-4a2a-92ff-d2b68c0e49f8.json b/data/hfopenllm_v2/cjvt/GaMS-1B/e9acbb25-2b96-4a2a-92ff-d2b68c0e49f8.json
deleted file mode 100644
index 87085d670..000000000
--- a/data/hfopenllm_v2/cjvt/GaMS-1B/e9acbb25-2b96-4a2a-92ff-d2b68c0e49f8.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/cjvt_GaMS-1B/1762652580.101496",
-  "retrieved_timestamp": "1762652580.1014972",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "cjvt/GaMS-1B",
-    "developer": "cjvt",
-    "inference_platform": "unknown",
-    "id": "cjvt/GaMS-1B",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "OPTForCausalLM",
-      "params_billions": 1.54
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.163541625110263
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3074752552734472
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.013595166163141994
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.25838926174496646
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.36841666666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11486037234042554
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/cloudyu/Llama-3-70Bx2-MOE/52c8e3f4-1063-4d9c-80d9-fdd0a72fc98e.json b/data/hfopenllm_v2/cloudyu/Llama-3-70Bx2-MOE/52c8e3f4-1063-4d9c-80d9-fdd0a72fc98e.json
new file mode 100644
index 000000000..91fc09dc7
--- /dev/null
+++ b/data/hfopenllm_v2/cloudyu/Llama-3-70Bx2-MOE/52c8e3f4-1063-4d9c-80d9-fdd0a72fc98e.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/cloudyu_Llama-3-70Bx2-MOE/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-3-70Bx2-MOE",
+    "id": "cloudyu/Llama-3-70Bx2-MOE",
+    "developer": "cloudyu",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MixtralForCausalLM",
+      "params_billions": 126.926
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5482
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6636
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2175
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3935
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4812
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5142
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/cloudyu/Llama-3.2-3Bx4/1f4a827d-31cd-42e6-871d-7c0cad010f58.json b/data/hfopenllm_v2/cloudyu/Llama-3.2-3Bx4/1f4a827d-31cd-42e6-871d-7c0cad010f58.json
new file mode 100644
index 000000000..2d3c69d77
--- /dev/null
+++ b/data/hfopenllm_v2/cloudyu/Llama-3.2-3Bx4/1f4a827d-31cd-42e6-871d-7c0cad010f58.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/cloudyu_Llama-3.2-3Bx4/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-3.2-3Bx4",
+    "id": "cloudyu/Llama-3.2-3Bx4",
+    "developer": "cloudyu",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "MixtralForCausalLM",
+      "params_billions": 9.949
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5069
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4332
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1073
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2777
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3496
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2985
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/cloudyu/Mixtral_11Bx2_MoE_19B/56d6d99c-fba1-42e7-aad4-631370b44da3.json b/data/hfopenllm_v2/cloudyu/Mixtral_11Bx2_MoE_19B/56d6d99c-fba1-42e7-aad4-631370b44da3.json
new file mode 100644
index 000000000..1913318a3
--- /dev/null
+++ b/data/hfopenllm_v2/cloudyu/Mixtral_11Bx2_MoE_19B/56d6d99c-fba1-42e7-aad4-631370b44da3.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/cloudyu_Mixtral_11Bx2_MoE_19B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Mixtral_11Bx2_MoE_19B",
+    "id": "cloudyu/Mixtral_11Bx2_MoE_19B",
+    "developer": "cloudyu",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "MixtralForCausalLM",
+      "params_billions": 19.188
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3851
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5209
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0672
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2903
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4297
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3311
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/cloudyu/Mixtral_11Bx2_MoE_19B/9be76c82-0f70-4b76-8476-7707d4da85bb.json b/data/hfopenllm_v2/cloudyu/Mixtral_11Bx2_MoE_19B/9be76c82-0f70-4b76-8476-7707d4da85bb.json
deleted file mode 100644
index f7fee6290..000000000
--- a/data/hfopenllm_v2/cloudyu/Mixtral_11Bx2_MoE_19B/9be76c82-0f70-4b76-8476-7707d4da85bb.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/cloudyu_Mixtral_11Bx2_MoE_19B/1762652580.102268",
-  "retrieved_timestamp": "1762652580.102269",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "cloudyu/Mixtral_11Bx2_MoE_19B",
-    "developer": "cloudyu",
-    "inference_platform": "unknown",
-    "id": "cloudyu/Mixtral_11Bx2_MoE_19B",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "MixtralForCausalLM",
-      "params_billions": 19.188
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3850837998732253
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5208516020145867
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.06722054380664652
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2902684563758389
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4296875
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.33111702127659576
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/cloudyu/Mixtral_34Bx2_MoE_60B/006a0ac7-d6c3-42c1-b0cc-6a0bfe74f884.json b/data/hfopenllm_v2/cloudyu/Mixtral_34Bx2_MoE_60B/006a0ac7-d6c3-42c1-b0cc-6a0bfe74f884.json
new file mode 100644
index 000000000..10f736b8c
--- /dev/null
+++ b/data/hfopenllm_v2/cloudyu/Mixtral_34Bx2_MoE_60B/006a0ac7-d6c3-42c1-b0cc-6a0bfe74f884.json
@@ -0,0 +1,132 @@
+{
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+  "evaluation_id": "hfopenllm_v2/cloudyu_Mixtral_34Bx2_MoE_60B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Mixtral_34Bx2_MoE_60B",
+    "id": "cloudyu/Mixtral_34Bx2_MoE_60B",
+    "developer": "cloudyu",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MixtralForCausalLM",
+      "params_billions": 60.814
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.587
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+    },
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+      }
+    },
+    {
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+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4766
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/cloudyu/Mixtral_34Bx2_MoE_60B/fdbef33b-dffb-4146-bc83-f8b03c842b2e.json b/data/hfopenllm_v2/cloudyu/Mixtral_34Bx2_MoE_60B/fdbef33b-dffb-4146-bc83-f8b03c842b2e.json
deleted file mode 100644
index 7de46c7e2..000000000
--- a/data/hfopenllm_v2/cloudyu/Mixtral_34Bx2_MoE_60B/fdbef33b-dffb-4146-bc83-f8b03c842b2e.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
-    "name": "cloudyu/Mixtral_34Bx2_MoE_60B",
-    "developer": "cloudyu",
-    "inference_platform": "unknown",
-    "id": "cloudyu/Mixtral_34Bx2_MoE_60B",
-    "additional_details": {
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-      "architecture": "MixtralForCausalLM",
-      "params_billions": 60.814
-    }
-  },
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-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
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-        "max_score": 1
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-        "lower_is_better": false,
-        "score_type": "continuous",
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-        "max_score": 1
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-        "lower_is_better": false,
-        "score_type": "continuous",
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-}
diff --git a/data/hfopenllm_v2/cloudyu/Mixtral_7Bx2_MoE/33a82686-6202-4a4d-ba34-bd4537105e5f.json b/data/hfopenllm_v2/cloudyu/Mixtral_7Bx2_MoE/33a82686-6202-4a4d-ba34-bd4537105e5f.json
new file mode 100644
index 000000000..3cdeaa925
--- /dev/null
+++ b/data/hfopenllm_v2/cloudyu/Mixtral_7Bx2_MoE/33a82686-6202-4a4d-ba34-bd4537105e5f.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/cloudyu_Mixtral_7Bx2_MoE/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Mixtral_7Bx2_MoE",
+    "id": "cloudyu/Mixtral_7Bx2_MoE",
+    "developer": "cloudyu",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MixtralForCausalLM",
+      "params_billions": 12.879
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.448
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.516
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0687
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3054
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4473
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3044
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/cloudyu/Mixtral_7Bx2_MoE/b6c048f5-b01e-4e51-8a6c-c068dfd199ef.json b/data/hfopenllm_v2/cloudyu/Mixtral_7Bx2_MoE/b6c048f5-b01e-4e51-8a6c-c068dfd199ef.json
deleted file mode 100644
index ea990b1ed..000000000
--- a/data/hfopenllm_v2/cloudyu/Mixtral_7Bx2_MoE/b6c048f5-b01e-4e51-8a6c-c068dfd199ef.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "retrieved_timestamp": "1762652580.102767",
-  "source_data": [
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-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "cloudyu/Mixtral_7Bx2_MoE",
-    "developer": "cloudyu",
-    "inference_platform": "unknown",
-    "id": "cloudyu/Mixtral_7Bx2_MoE",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MixtralForCausalLM",
-      "params_billions": 12.879
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-  },
-  "evaluation_results": [
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-      "evaluation_name": "IFEval",
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-        "score_type": "continuous",
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-        "lower_is_better": false,
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-    },
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-        "score_type": "continuous",
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-      },
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-    },
-    {
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-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.44729166666666664
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30435505319148937
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/cloudyu/S1-Llama-3.2-3Bx4-MoE/38d45554-44bd-4b40-b7c9-c0b7ba44b862.json b/data/hfopenllm_v2/cloudyu/S1-Llama-3.2-3Bx4-MoE/38d45554-44bd-4b40-b7c9-c0b7ba44b862.json
new file mode 100644
index 000000000..7127e4c67
--- /dev/null
+++ b/data/hfopenllm_v2/cloudyu/S1-Llama-3.2-3Bx4-MoE/38d45554-44bd-4b40-b7c9-c0b7ba44b862.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/cloudyu_S1-Llama-3.2-3Bx4-MoE/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "S1-Llama-3.2-3Bx4-MoE",
+    "id": "cloudyu/S1-Llama-3.2-3Bx4-MoE",
+    "developer": "cloudyu",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "MixtralForCausalLM",
+      "params_billions": 9.555
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5302
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4358
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1201
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2936
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3456
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3044
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/cloudyu/Yi-34Bx2-MoE-60B-DPO/37d7e3ab-db9c-4ad7-81d1-933c030a6250.json b/data/hfopenllm_v2/cloudyu/Yi-34Bx2-MoE-60B-DPO/37d7e3ab-db9c-4ad7-81d1-933c030a6250.json
new file mode 100644
index 000000000..44ea55fed
--- /dev/null
+++ b/data/hfopenllm_v2/cloudyu/Yi-34Bx2-MoE-60B-DPO/37d7e3ab-db9c-4ad7-81d1-933c030a6250.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/cloudyu_Yi-34Bx2-MoE-60B-DPO/1770682486.623709",
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+  "source_metadata": {
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/cloudyu/Yi-34Bx2-MoE-60B-DPO/542d450b-8108-4abe-a2ae-5b9a577558d6.json b/data/hfopenllm_v2/cloudyu/Yi-34Bx2-MoE-60B-DPO/542d450b-8108-4abe-a2ae-5b9a577558d6.json
deleted file mode 100644
index 9f6995bc5..000000000
--- a/data/hfopenllm_v2/cloudyu/Yi-34Bx2-MoE-60B-DPO/542d450b-8108-4abe-a2ae-5b9a577558d6.json
+++ /dev/null
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diff --git a/data/hfopenllm_v2/cluebbers/Llama-3.1-8B-paraphrase-type-generation-apty-ipo/9cc49b3c-4e51-4f67-92ea-4ac8a3cbed43.json b/data/hfopenllm_v2/cluebbers/Llama-3.1-8B-paraphrase-type-generation-apty-ipo/9cc49b3c-4e51-4f67-92ea-4ac8a3cbed43.json
new file mode 100644
index 000000000..3ef6239d5
--- /dev/null
+++ b/data/hfopenllm_v2/cluebbers/Llama-3.1-8B-paraphrase-type-generation-apty-ipo/9cc49b3c-4e51-4f67-92ea-4ac8a3cbed43.json
@@ -0,0 +1,132 @@
+{
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+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-3.1-8B-paraphrase-type-generation-apty-ipo",
+    "id": "cluebbers/Llama-3.1-8B-paraphrase-type-generation-apty-ipo",
+    "developer": "cluebbers",
+    "inference_platform": "unknown",
+    "additional_details": {
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+      "architecture": "LlamaForCausalLM",
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+    }
+  },
+  "evaluation_results": [
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+        "source_type": "hf_dataset",
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+        "hf_repo": "SaylorTwift/bbh"
+      },
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/cluebbers/Llama-3.1-8B-paraphrase-type-generation-apty-sigmoid/b6bd8515-4c95-40ce-b2d5-af8873d261ab.json b/data/hfopenllm_v2/cluebbers/Llama-3.1-8B-paraphrase-type-generation-apty-sigmoid/b6bd8515-4c95-40ce-b2d5-af8873d261ab.json
new file mode 100644
index 000000000..d349e2332
--- /dev/null
+++ b/data/hfopenllm_v2/cluebbers/Llama-3.1-8B-paraphrase-type-generation-apty-sigmoid/b6bd8515-4c95-40ce-b2d5-af8873d261ab.json
@@ -0,0 +1,132 @@
+{
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+  "retrieved_timestamp": "1770682486.623709",
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+    "source_type": "documentation",
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+    "id": "cluebbers/Llama-3.1-8B-paraphrase-type-generation-apty-sigmoid",
+    "developer": "cluebbers",
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+      "architecture": "LlamaForCausalLM",
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+    }
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+        "score_type": "continuous",
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+      },
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
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+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
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+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+    },
+    {
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+        "hf_repo": "TAUR-Lab/MuSR"
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+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+      }
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+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/cluebbers/Llama-3.1-8B-paraphrase-type-generation-etpc/d102e75d-3e20-482b-a243-bae3ec44e2bb.json b/data/hfopenllm_v2/cluebbers/Llama-3.1-8B-paraphrase-type-generation-etpc/d102e75d-3e20-482b-a243-bae3ec44e2bb.json
new file mode 100644
index 000000000..8314442a4
--- /dev/null
+++ b/data/hfopenllm_v2/cluebbers/Llama-3.1-8B-paraphrase-type-generation-etpc/d102e75d-3e20-482b-a243-bae3ec44e2bb.json
@@ -0,0 +1,132 @@
+{
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+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
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+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
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+  "model_info": {
+    "name": "Llama-3.1-8B-paraphrase-type-generation-etpc",
+    "id": "cluebbers/Llama-3.1-8B-paraphrase-type-generation-etpc",
+    "developer": "cluebbers",
+    "inference_platform": "unknown",
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+        "hf_repo": "TIGER-Lab/MMLU-Pro"
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diff --git a/data/hfopenllm_v2/cognitivecomputations/Dolphin3.0-Llama3.1-8B/68920da1-af71-4ccd-88b9-554e3c72c4dc.json b/data/hfopenllm_v2/cognitivecomputations/Dolphin3.0-Llama3.1-8B/68920da1-af71-4ccd-88b9-554e3c72c4dc.json
new file mode 100644
index 000000000..e9c8f9f33
--- /dev/null
+++ b/data/hfopenllm_v2/cognitivecomputations/Dolphin3.0-Llama3.1-8B/68920da1-af71-4ccd-88b9-554e3c72c4dc.json
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diff --git a/data/hfopenllm_v2/cognitivecomputations/Dolphin3.0-Llama3.2-1B/c0eb144f-c726-4a80-bce9-384fb7a641a7.json b/data/hfopenllm_v2/cognitivecomputations/Dolphin3.0-Llama3.2-1B/c0eb144f-c726-4a80-bce9-384fb7a641a7.json
new file mode 100644
index 000000000..feeca651a
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diff --git a/data/hfopenllm_v2/cognitivecomputations/Dolphin3.0-Qwen2.5-0.5B/0b26f82d-36f6-4fd0-a0fd-05e4a1368a6e.json b/data/hfopenllm_v2/cognitivecomputations/Dolphin3.0-Qwen2.5-0.5B/0b26f82d-36f6-4fd0-a0fd-05e4a1368a6e.json
new file mode 100644
index 000000000..cf6e079cd
--- /dev/null
+++ b/data/hfopenllm_v2/cognitivecomputations/Dolphin3.0-Qwen2.5-0.5B/0b26f82d-36f6-4fd0-a0fd-05e4a1368a6e.json
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/cognitivecomputations/Dolphin3.0-R1-Mistral-24B/8fe4360a-0924-4386-b4cd-89069f7ff55f.json b/data/hfopenllm_v2/cognitivecomputations/Dolphin3.0-R1-Mistral-24B/8fe4360a-0924-4386-b4cd-89069f7ff55f.json
new file mode 100644
index 000000000..5e1bed350
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+++ b/data/hfopenllm_v2/cognitivecomputations/Dolphin3.0-R1-Mistral-24B/8fe4360a-0924-4386-b4cd-89069f7ff55f.json
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/cognitivecomputations/dolphin-2.9-llama3-8b/eeeb082b-7112-4a08-a87a-b2c9ae37efff.json b/data/hfopenllm_v2/cognitivecomputations/dolphin-2.9-llama3-8b/eeeb082b-7112-4a08-a87a-b2c9ae37efff.json
new file mode 100644
index 000000000..e996e7392
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+++ b/data/hfopenllm_v2/cognitivecomputations/dolphin-2.9-llama3-8b/eeeb082b-7112-4a08-a87a-b2c9ae37efff.json
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diff --git a/data/hfopenllm_v2/cognitivecomputations/dolphin-2.9.1-llama-3-70b/b8f933e9-867f-4934-9648-371d1e632116.json b/data/hfopenllm_v2/cognitivecomputations/dolphin-2.9.1-llama-3-70b/b8f933e9-867f-4934-9648-371d1e632116.json
new file mode 100644
index 000000000..96525d9b7
--- /dev/null
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diff --git a/data/hfopenllm_v2/cognitivecomputations/dolphin-2.9.1-yi-1.5-34b/8d225023-4b7e-48cd-ae67-6d00b541f17d.json b/data/hfopenllm_v2/cognitivecomputations/dolphin-2.9.1-yi-1.5-34b/8d225023-4b7e-48cd-ae67-6d00b541f17d.json
new file mode 100644
index 000000000..e70bb20f7
--- /dev/null
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diff --git a/data/hfopenllm_v2/cognitivecomputations/dolphin-2.9.1-yi-1.5-9b/ee3b45e7-a5d6-4fa8-8abd-f6a77d5a6d5b.json b/data/hfopenllm_v2/cognitivecomputations/dolphin-2.9.1-yi-1.5-9b/ee3b45e7-a5d6-4fa8-8abd-f6a77d5a6d5b.json
new file mode 100644
index 000000000..d916c8a8c
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diff --git a/data/hfopenllm_v2/cognitivecomputations/dolphin-2.9.2-Phi-3-Medium-abliterated/177ef040-da5c-4a65-adac-efdc555bd110.json b/data/hfopenllm_v2/cognitivecomputations/dolphin-2.9.2-Phi-3-Medium-abliterated/177ef040-da5c-4a65-adac-efdc555bd110.json
new file mode 100644
index 000000000..2947eef38
--- /dev/null
+++ b/data/hfopenllm_v2/cognitivecomputations/dolphin-2.9.2-Phi-3-Medium-abliterated/177ef040-da5c-4a65-adac-efdc555bd110.json
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/cognitivecomputations/dolphin-2.9.2-Phi-3-Medium-abliterated/e9dc8337-eb35-4eb9-bca7-30ec1cd44092.json b/data/hfopenllm_v2/cognitivecomputations/dolphin-2.9.2-Phi-3-Medium-abliterated/e9dc8337-eb35-4eb9-bca7-30ec1cd44092.json
new file mode 100644
index 000000000..118e42ec5
--- /dev/null
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@@ -0,0 +1,132 @@
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/cognitivecomputations/dolphin-2.9.2-Phi-3-Medium/f4549a39-0b28-4e06-998a-774f5f02cfba.json b/data/hfopenllm_v2/cognitivecomputations/dolphin-2.9.2-Phi-3-Medium/f4549a39-0b28-4e06-998a-774f5f02cfba.json
new file mode 100644
index 000000000..a8dbae20b
--- /dev/null
+++ b/data/hfopenllm_v2/cognitivecomputations/dolphin-2.9.2-Phi-3-Medium/f4549a39-0b28-4e06-998a-774f5f02cfba.json
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diff --git a/data/hfopenllm_v2/cognitivecomputations/dolphin-2.9.2-qwen2-72b/a79af78a-adab-406f-995a-adb3893e1510.json b/data/hfopenllm_v2/cognitivecomputations/dolphin-2.9.2-qwen2-72b/a79af78a-adab-406f-995a-adb3893e1510.json
new file mode 100644
index 000000000..027fcc0d4
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+++ b/data/hfopenllm_v2/cognitivecomputations/dolphin-2.9.2-qwen2-72b/a79af78a-adab-406f-995a-adb3893e1510.json
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/cognitivecomputations/dolphin-2.9.2-qwen2-7b/4e8e457a-85eb-4afb-a9fe-8f8ce6eaf4d7.json b/data/hfopenllm_v2/cognitivecomputations/dolphin-2.9.2-qwen2-7b/4e8e457a-85eb-4afb-a9fe-8f8ce6eaf4d7.json
new file mode 100644
index 000000000..e8d10e1e5
--- /dev/null
+++ b/data/hfopenllm_v2/cognitivecomputations/dolphin-2.9.2-qwen2-7b/4e8e457a-85eb-4afb-a9fe-8f8ce6eaf4d7.json
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/cognitivecomputations/dolphin-2.9.3-Yi-1.5-34B-32k/eeb3a10a-d584-414a-90de-e018c47615c2.json b/data/hfopenllm_v2/cognitivecomputations/dolphin-2.9.3-Yi-1.5-34B-32k/eeb3a10a-d584-414a-90de-e018c47615c2.json
new file mode 100644
index 000000000..a64db73d8
--- /dev/null
+++ b/data/hfopenllm_v2/cognitivecomputations/dolphin-2.9.3-Yi-1.5-34B-32k/eeb3a10a-d584-414a-90de-e018c47615c2.json
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diff --git a/data/hfopenllm_v2/cognitivecomputations/dolphin-2.9.3-mistral-7B-32k/e83dadb0-5092-48b8-b408-e6bb1ac8a0ba.json b/data/hfopenllm_v2/cognitivecomputations/dolphin-2.9.3-mistral-7B-32k/e83dadb0-5092-48b8-b408-e6bb1ac8a0ba.json
new file mode 100644
index 000000000..88711de67
--- /dev/null
+++ b/data/hfopenllm_v2/cognitivecomputations/dolphin-2.9.3-mistral-7B-32k/e83dadb0-5092-48b8-b408-e6bb1ac8a0ba.json
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diff --git a/data/hfopenllm_v2/cognitivecomputations/dolphin-2.9.3-mistral-nemo-12b/cebc7767-fbc9-45a2-808b-51e1a4f0f35c.json b/data/hfopenllm_v2/cognitivecomputations/dolphin-2.9.3-mistral-nemo-12b/cebc7767-fbc9-45a2-808b-51e1a4f0f35c.json
new file mode 100644
index 000000000..470ec6033
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diff --git a/data/hfopenllm_v2/cognitivecomputations/dolphin-2.9.4-gemma2-2b/b64b6416-b18b-47cc-a516-c613cd670b37.json b/data/hfopenllm_v2/cognitivecomputations/dolphin-2.9.4-gemma2-2b/b64b6416-b18b-47cc-a516-c613cd670b37.json
new file mode 100644
index 000000000..859c42976
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diff --git a/data/hfopenllm_v2/cognitivecomputations/dolphin-2.9.4-llama3.1-8b/64e96d56-72a9-413f-8903-45821b98f71e.json b/data/hfopenllm_v2/cognitivecomputations/dolphin-2.9.4-llama3.1-8b/64e96d56-72a9-413f-8903-45821b98f71e.json
new file mode 100644
index 000000000..f6d9ab604
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/collaiborateorg/Collaiborator-MEDLLM-Llama-3-8B-v2/a3f44cfd-d1fc-4a3c-aa5b-a0f37fc4a192.json b/data/hfopenllm_v2/collaiborateorg/Collaiborator-MEDLLM-Llama-3-8B-v2/a3f44cfd-d1fc-4a3c-aa5b-a0f37fc4a192.json
new file mode 100644
index 000000000..faa327cca
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+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0566
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3331
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3434
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3481
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/cpayne1303/cp2024-instruct/247e1c1e-ce27-4645-a2ae-4177f08ea4a5.json b/data/hfopenllm_v2/cpayne1303/cp2024-instruct/247e1c1e-ce27-4645-a2ae-4177f08ea4a5.json
deleted file mode 100644
index ed768616e..000000000
--- a/data/hfopenllm_v2/cpayne1303/cp2024-instruct/247e1c1e-ce27-4645-a2ae-4177f08ea4a5.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/cpayne1303_cp2024-instruct/1762652580.116854",
-  "retrieved_timestamp": "1762652580.116854",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "cpayne1303/cp2024-instruct",
-    "developer": "cpayne1303",
-    "inference_platform": "unknown",
-    "id": "cpayne1303/cp2024-instruct",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 0.031
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.17061064641817045
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2946778102988436
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.0
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2600671140939597
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3686354166666666
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11668882978723404
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/cpayne1303/cp2024-instruct/79314f48-d92b-4992-b3c6-d31278c0867a.json b/data/hfopenllm_v2/cpayne1303/cp2024-instruct/79314f48-d92b-4992-b3c6-d31278c0867a.json
new file mode 100644
index 000000000..0a74e80db
--- /dev/null
+++ b/data/hfopenllm_v2/cpayne1303/cp2024-instruct/79314f48-d92b-4992-b3c6-d31278c0867a.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/cpayne1303_cp2024-instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "cp2024-instruct",
+    "id": "cpayne1303/cp2024-instruct",
+    "developer": "cpayne1303",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 0.031
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1706
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2947
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2601
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3686
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1167
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/cpayne1303/cp2024/2bfb7bea-a344-4249-8bdc-e6c483518df5.json b/data/hfopenllm_v2/cpayne1303/cp2024/2bfb7bea-a344-4249-8bdc-e6c483518df5.json
deleted file mode 100644
index 897a77769..000000000
--- a/data/hfopenllm_v2/cpayne1303/cp2024/2bfb7bea-a344-4249-8bdc-e6c483518df5.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/cpayne1303_cp2024/1762652580.116582",
-  "retrieved_timestamp": "1762652580.1165829",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "cpayne1303/cp2024",
-    "developer": "cpayne1303",
-    "inference_platform": "unknown",
-    "id": "cpayne1303/cp2024",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 0.031
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.16581448334862608
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.29853854089245085
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.005287009063444109
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2558724832214765
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3383125
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11012300531914894
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/cpayne1303/cp2024/5a007612-c8e7-4f6b-baa9-a21af7e908c6.json b/data/hfopenllm_v2/cpayne1303/cp2024/5a007612-c8e7-4f6b-baa9-a21af7e908c6.json
new file mode 100644
index 000000000..5ffe334d2
--- /dev/null
+++ b/data/hfopenllm_v2/cpayne1303/cp2024/5a007612-c8e7-4f6b-baa9-a21af7e908c6.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/cpayne1303_cp2024/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "cp2024",
+    "id": "cpayne1303/cp2024",
+    "developer": "cpayne1303",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 0.031
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1658
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2985
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0053
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2559
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3383
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1101
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/cpayne1303/llama-43m-beta/fdefdd3e-2d83-4430-bd95-e16a1935dff1.json b/data/hfopenllm_v2/cpayne1303/llama-43m-beta/fdefdd3e-2d83-4430-bd95-e16a1935dff1.json
new file mode 100644
index 000000000..d8c1991cd
--- /dev/null
+++ b/data/hfopenllm_v2/cpayne1303/llama-43m-beta/fdefdd3e-2d83-4430-bd95-e16a1935dff1.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/cpayne1303_llama-43m-beta/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "llama-43m-beta",
+    "id": "cpayne1303/llama-43m-beta",
+    "developer": "cpayne1303",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 0.043
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1949
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2965
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0045
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2685
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3885
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1111
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/cpayne1303/llama-43m-beta/ffdd45bf-3409-4b92-909a-25a32ba27f82.json b/data/hfopenllm_v2/cpayne1303/llama-43m-beta/ffdd45bf-3409-4b92-909a-25a32ba27f82.json
new file mode 100644
index 000000000..979e3c2d6
--- /dev/null
+++ b/data/hfopenllm_v2/cpayne1303/llama-43m-beta/ffdd45bf-3409-4b92-909a-25a32ba27f82.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/cpayne1303_llama-43m-beta/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "llama-43m-beta",
+    "id": "cpayne1303/llama-43m-beta",
+    "developer": "cpayne1303",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 0.043
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1916
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2977
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
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+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2685
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3872
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1132
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/cpayne1303/smallcp2024/a78ab8ac-2c2e-405a-95ee-0d1d27cf533b.json b/data/hfopenllm_v2/cpayne1303/smallcp2024/a78ab8ac-2c2e-405a-95ee-0d1d27cf533b.json
new file mode 100644
index 000000000..fba1477ee
--- /dev/null
+++ b/data/hfopenllm_v2/cpayne1303/smallcp2024/a78ab8ac-2c2e-405a-95ee-0d1d27cf533b.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/cpayne1303_smallcp2024/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "smallcp2024",
+    "id": "cpayne1303/smallcp2024",
+    "developer": "cpayne1303",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 0.002
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1582
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3027
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0053
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2307
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3425
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1114
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/cpayne1303/smallcp2024/fcbede38-3a5b-4cd7-b144-cbf26cc05df9.json b/data/hfopenllm_v2/cpayne1303/smallcp2024/fcbede38-3a5b-4cd7-b144-cbf26cc05df9.json
deleted file mode 100644
index fda02a6fb..000000000
--- a/data/hfopenllm_v2/cpayne1303/smallcp2024/fcbede38-3a5b-4cd7-b144-cbf26cc05df9.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/cpayne1303_smallcp2024/1762652580.117528",
-  "retrieved_timestamp": "1762652580.117528",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "cpayne1303/smallcp2024",
-    "developer": "cpayne1303",
-    "inference_platform": "unknown",
-    "id": "cpayne1303/smallcp2024",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 0.002
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1581958093414363
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3027047714604053
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.005287009063444109
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.23070469798657717
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.34246874999999993
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11136968085106383
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/crestf411/MN-Slush/b32a7808-7a64-41a8-aad4-030efc512906.json b/data/hfopenllm_v2/crestf411/MN-Slush/b32a7808-7a64-41a8-aad4-030efc512906.json
deleted file mode 100644
index 8263ff0e1..000000000
--- a/data/hfopenllm_v2/crestf411/MN-Slush/b32a7808-7a64-41a8-aad4-030efc512906.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/crestf411_MN-Slush/1762652580.117737",
-  "retrieved_timestamp": "1762652580.117738",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "crestf411/MN-Slush",
-    "developer": "crestf411",
-    "inference_platform": "unknown",
-    "id": "crestf411/MN-Slush",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 12.248
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4077148632295642
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-    },
-    {
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-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5340014235282594
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
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-        "score_type": "continuous",
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-    },
-    {
-      "evaluation_name": "GPQA",
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-        "evaluation_description": "Accuracy on GPQA",
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-        "score_type": "continuous",
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.39328125
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3508144946808511
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-  ]
-}
diff --git a/data/hfopenllm_v2/crestf411/MN-Slush/d9d49bf7-f6f0-4c25-9182-d815454940e3.json b/data/hfopenllm_v2/crestf411/MN-Slush/d9d49bf7-f6f0-4c25-9182-d815454940e3.json
new file mode 100644
index 000000000..5057d4ade
--- /dev/null
+++ b/data/hfopenllm_v2/crestf411/MN-Slush/d9d49bf7-f6f0-4c25-9182-d815454940e3.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/crestf411_MN-Slush/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "MN-Slush",
+    "id": "crestf411/MN-Slush",
+    "developer": "crestf411",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 12.248
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4077
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+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.534
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+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+        "score": 0.1269
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+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3238
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3933
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+      "score_details": {
+        "score": 0.3508
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/cstr/llama3.1-8b-spaetzle-v90/deb48e93-0378-482f-8a5d-7ec350497e0b.json b/data/hfopenllm_v2/cstr/llama3.1-8b-spaetzle-v90/deb48e93-0378-482f-8a5d-7ec350497e0b.json
new file mode 100644
index 000000000..cf3237c07
--- /dev/null
+++ b/data/hfopenllm_v2/cstr/llama3.1-8b-spaetzle-v90/deb48e93-0378-482f-8a5d-7ec350497e0b.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/cstr_llama3.1-8b-spaetzle-v90/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "llama3.1-8b-spaetzle-v90",
+    "id": "cstr/llama3.1-8b-spaetzle-v90",
+    "developer": "cstr",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7356
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5303
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1495
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2827
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4134
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3731
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/cyberagent/calm3-22b-chat/302a9a47-8603-42d9-85fb-64c60e7c6f44.json b/data/hfopenllm_v2/cyberagent/calm3-22b-chat/302a9a47-8603-42d9-85fb-64c60e7c6f44.json
new file mode 100644
index 000000000..f7b5122d0
--- /dev/null
+++ b/data/hfopenllm_v2/cyberagent/calm3-22b-chat/302a9a47-8603-42d9-85fb-64c60e7c6f44.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/cyberagent_calm3-22b-chat/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "calm3-22b-chat",
+    "id": "cyberagent/calm3-22b-chat",
+    "developer": "cyberagent",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 22.543
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5091
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4992
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0695
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2768
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4553
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.295
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/cyberagent/calm3-22b-chat/b7ce290d-d082-4586-ac4b-516e8130ddc2.json b/data/hfopenllm_v2/cyberagent/calm3-22b-chat/b7ce290d-d082-4586-ac4b-516e8130ddc2.json
deleted file mode 100644
index cfb8e25b8..000000000
--- a/data/hfopenllm_v2/cyberagent/calm3-22b-chat/b7ce290d-d082-4586-ac4b-516e8130ddc2.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/cyberagent_calm3-22b-chat/1762652580.118237",
-  "retrieved_timestamp": "1762652580.118238",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "cyberagent/calm3-22b-chat",
-    "developer": "cyberagent",
-    "inference_platform": "unknown",
-    "id": "cyberagent/calm3-22b-chat",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 22.543
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.509131327100981
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4991683247746046
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.06948640483383686
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.27684563758389263
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.45532291666666663
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.29496343085106386
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/darkc0de/BuddyGlassNeverSleeps/28d52801-3998-421f-a37a-2b7b677d0eaa.json b/data/hfopenllm_v2/darkc0de/BuddyGlassNeverSleeps/28d52801-3998-421f-a37a-2b7b677d0eaa.json
new file mode 100644
index 000000000..8fd65a779
--- /dev/null
+++ b/data/hfopenllm_v2/darkc0de/BuddyGlassNeverSleeps/28d52801-3998-421f-a37a-2b7b677d0eaa.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/darkc0de_BuddyGlassNeverSleeps/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "BuddyGlassNeverSleeps",
+    "id": "darkc0de/BuddyGlassNeverSleeps",
+    "developer": "darkc0de",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4239
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4977
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0627
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2945
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3993
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3452
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/darkc0de/BuddyGlassNeverSleeps/675f6dfe-c623-4694-94cb-8705aab5521f.json b/data/hfopenllm_v2/darkc0de/BuddyGlassNeverSleeps/675f6dfe-c623-4694-94cb-8705aab5521f.json
deleted file mode 100644
index 0b902c80b..000000000
--- a/data/hfopenllm_v2/darkc0de/BuddyGlassNeverSleeps/675f6dfe-c623-4694-94cb-8705aab5521f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/darkc0de_BuddyGlassNeverSleeps/1762652580.1184928",
-  "retrieved_timestamp": "1762652580.118494",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "darkc0de/BuddyGlassNeverSleeps",
-    "developer": "darkc0de",
-    "inference_platform": "unknown",
-    "id": "darkc0de/BuddyGlassNeverSleeps",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4239019135892764
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.49772281653646816
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.06268882175226587
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.29446308724832215
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3992708333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.34524601063829785
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/darkc0de/BuddyGlassUncensored2025.2/32b4e23b-9430-45a8-bfa2-eea2e89792c4.json b/data/hfopenllm_v2/darkc0de/BuddyGlassUncensored2025.2/32b4e23b-9430-45a8-bfa2-eea2e89792c4.json
new file mode 100644
index 000000000..0e633e15d
--- /dev/null
+++ b/data/hfopenllm_v2/darkc0de/BuddyGlassUncensored2025.2/32b4e23b-9430-45a8-bfa2-eea2e89792c4.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/darkc0de_BuddyGlassUncensored2025.2/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "BuddyGlassUncensored2025.2",
+    "id": "darkc0de/BuddyGlassUncensored2025.2",
+    "developer": "darkc0de",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 10.306
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7731
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6095
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2402
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.328
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4071
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4336
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/darkc0de/BuddyGlassUncensored2025.2/ea8dfb5f-750d-4573-a2bb-dadafc3a73b7.json b/data/hfopenllm_v2/darkc0de/BuddyGlassUncensored2025.2/ea8dfb5f-750d-4573-a2bb-dadafc3a73b7.json
deleted file mode 100644
index 44074acb1..000000000
--- a/data/hfopenllm_v2/darkc0de/BuddyGlassUncensored2025.2/ea8dfb5f-750d-4573-a2bb-dadafc3a73b7.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/darkc0de_BuddyGlassUncensored2025.2/1762652580.118735",
-  "retrieved_timestamp": "1762652580.1187358",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "darkc0de/BuddyGlassUncensored2025.2",
-    "developer": "darkc0de",
-    "inference_platform": "unknown",
-    "id": "darkc0de/BuddyGlassUncensored2025.2",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 10.306
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7731131176389756
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6095411371819216
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.24018126888217523
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.32802013422818793
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4070833333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.43359375
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/darkc0de/BuddyGlass_v0.3_Xortron7MethedUpSwitchedUp/0336e168-e313-44cb-a030-42e6d20e92df.json b/data/hfopenllm_v2/darkc0de/BuddyGlass_v0.3_Xortron7MethedUpSwitchedUp/0336e168-e313-44cb-a030-42e6d20e92df.json
new file mode 100644
index 000000000..d8470fccf
--- /dev/null
+++ b/data/hfopenllm_v2/darkc0de/BuddyGlass_v0.3_Xortron7MethedUpSwitchedUp/0336e168-e313-44cb-a030-42e6d20e92df.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/darkc0de_BuddyGlass_v0.3_Xortron7MethedUpSwitchedUp/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "BuddyGlass_v0.3_Xortron7MethedUpSwitchedUp",
+    "id": "darkc0de/BuddyGlass_v0.3_Xortron7MethedUpSwitchedUp",
+    "developer": "darkc0de",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 0.007
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4358
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5243
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1284
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2987
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4143
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3673
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/darkc0de/BuddyGlass_v0.3_Xortron7MethedUpSwitchedUp/adf85459-eba0-48a8-ad54-1e17d1ea5b31.json b/data/hfopenllm_v2/darkc0de/BuddyGlass_v0.3_Xortron7MethedUpSwitchedUp/adf85459-eba0-48a8-ad54-1e17d1ea5b31.json
deleted file mode 100644
index b8e0cc30f..000000000
--- a/data/hfopenllm_v2/darkc0de/BuddyGlass_v0.3_Xortron7MethedUpSwitchedUp/adf85459-eba0-48a8-ad54-1e17d1ea5b31.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/darkc0de_BuddyGlass_v0.3_Xortron7MethedUpSwitchedUp/1762652580.1189609",
-  "retrieved_timestamp": "1762652580.1189609",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "darkc0de/BuddyGlass_v0.3_Xortron7MethedUpSwitchedUp",
-    "developer": "darkc0de",
-    "inference_platform": "unknown",
-    "id": "darkc0de/BuddyGlass_v0.3_Xortron7MethedUpSwitchedUp",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 0.007
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.43584245357872664
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5243087998656722
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1283987915407855
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2986577181208054
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4143333333333334
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.36727061170212766
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/databricks/dbrx-base/11bd8b5b-2ea4-4ec5-8fe6-654aedb40fc9.json b/data/hfopenllm_v2/databricks/dbrx-base/11bd8b5b-2ea4-4ec5-8fe6-654aedb40fc9.json
new file mode 100644
index 000000000..e2da8eba9
--- /dev/null
+++ b/data/hfopenllm_v2/databricks/dbrx-base/11bd8b5b-2ea4-4ec5-8fe6-654aedb40fc9.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/databricks_dbrx-base/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "dbrx-base",
+    "id": "databricks/dbrx-base",
+    "developer": "databricks",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Unknown",
+      "params_billions": 0.0
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0821
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5196
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3267
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4067
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.35
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/databricks/dbrx-base/17febb53-0735-4983-8049-85319818ab84.json b/data/hfopenllm_v2/databricks/dbrx-base/17febb53-0735-4983-8049-85319818ab84.json
deleted file mode 100644
index 7622bd600..000000000
--- a/data/hfopenllm_v2/databricks/dbrx-base/17febb53-0735-4983-8049-85319818ab84.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/databricks_dbrx-base/1762652580.1191711",
-  "retrieved_timestamp": "1762652580.1191711",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "databricks/dbrx-base",
-    "developer": "databricks",
-    "inference_platform": "unknown",
-    "id": "databricks/dbrx-base",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Unknown",
-      "params_billions": 0.0
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.08214723926380368
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5195833333333334
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.32666666666666666
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4066666666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.35
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/databricks/dbrx-instruct/639e4921-9fa8-446d-b539-f03a7589b142.json b/data/hfopenllm_v2/databricks/dbrx-instruct/639e4921-9fa8-446d-b539-f03a7589b142.json
deleted file mode 100644
index c823e6b83..000000000
--- a/data/hfopenllm_v2/databricks/dbrx-instruct/639e4921-9fa8-446d-b539-f03a7589b142.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/databricks_dbrx-instruct/1762652580.119466",
-  "retrieved_timestamp": "1762652580.119467",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "databricks/dbrx-instruct",
-    "developer": "databricks",
-    "inference_platform": "unknown",
-    "id": "databricks/dbrx-instruct",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "DbrxForCausalLM",
-      "params_billions": 131.597
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5415796752616391
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5428960796934387
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.06873111782477341
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3414429530201342
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42692708333333335
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.36826795212765956
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/databricks/dbrx-instruct/6d97749c-3bfa-4c32-b581-a5e2b73303f3.json b/data/hfopenllm_v2/databricks/dbrx-instruct/6d97749c-3bfa-4c32-b581-a5e2b73303f3.json
new file mode 100644
index 000000000..3b824e9c7
--- /dev/null
+++ b/data/hfopenllm_v2/databricks/dbrx-instruct/6d97749c-3bfa-4c32-b581-a5e2b73303f3.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/databricks_dbrx-instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "dbrx-instruct",
+    "id": "databricks/dbrx-instruct",
+    "developer": "databricks",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "DbrxForCausalLM",
+      "params_billions": 131.597
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5416
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5429
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0687
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3414
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4269
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3683
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/databricks/dolly-v1-6b/62299ec1-dd42-4751-a224-3bdda71d3cdf.json b/data/hfopenllm_v2/databricks/dolly-v1-6b/62299ec1-dd42-4751-a224-3bdda71d3cdf.json
deleted file mode 100644
index 312d60628..000000000
--- a/data/hfopenllm_v2/databricks/dolly-v1-6b/62299ec1-dd42-4751-a224-3bdda71d3cdf.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/databricks_dolly-v1-6b/1762652580.1196742",
-  "retrieved_timestamp": "1762652580.119675",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "databricks/dolly-v1-6b",
-    "developer": "databricks",
-    "inference_platform": "unknown",
-    "id": "databricks/dolly-v1-6b",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "GPTJForCausalLM",
-      "params_billions": 6.0
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.22244311759464885
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3172089528774696
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.0188821752265861
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.26426174496644295
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.40041666666666664
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.12657912234042554
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/databricks/dolly-v1-6b/ec58907d-b67c-467e-a3dd-b9f9c10138f0.json b/data/hfopenllm_v2/databricks/dolly-v1-6b/ec58907d-b67c-467e-a3dd-b9f9c10138f0.json
new file mode 100644
index 000000000..ad7981890
--- /dev/null
+++ b/data/hfopenllm_v2/databricks/dolly-v1-6b/ec58907d-b67c-467e-a3dd-b9f9c10138f0.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/databricks_dolly-v1-6b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "dolly-v1-6b",
+    "id": "databricks/dolly-v1-6b",
+    "developer": "databricks",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "GPTJForCausalLM",
+      "params_billions": 6.0
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2224
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3172
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0189
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2643
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4004
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1266
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/databricks/dolly-v2-12b/a7f09a3d-025c-48fa-9358-863b9ae382b1.json b/data/hfopenllm_v2/databricks/dolly-v2-12b/a7f09a3d-025c-48fa-9358-863b9ae382b1.json
new file mode 100644
index 000000000..68d7dcd5a
--- /dev/null
+++ b/data/hfopenllm_v2/databricks/dolly-v2-12b/a7f09a3d-025c-48fa-9358-863b9ae382b1.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/databricks_dolly-v2-12b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "dolly-v2-12b",
+    "id": "databricks/dolly-v2-12b",
+    "developer": "databricks",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "GPTNeoXForCausalLM",
+      "params_billions": 12.0
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2355
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.332
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0136
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2408
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3739
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1129
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/databricks/dolly-v2-12b/c83e2bf0-5d4e-45c4-aff2-27aea2bc0fb6.json b/data/hfopenllm_v2/databricks/dolly-v2-12b/c83e2bf0-5d4e-45c4-aff2-27aea2bc0fb6.json
deleted file mode 100644
index b5c304908..000000000
--- a/data/hfopenllm_v2/databricks/dolly-v2-12b/c83e2bf0-5d4e-45c4-aff2-27aea2bc0fb6.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/databricks_dolly-v2-12b/1762652580.1198819",
-  "retrieved_timestamp": "1762652580.119883",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "databricks/dolly-v2-12b",
-    "developer": "databricks",
-    "inference_platform": "unknown",
-    "id": "databricks/dolly-v2-12b",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "GPTNeoXForCausalLM",
-      "params_billions": 12.0
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.23550734273948679
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.33199731673771277
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.013595166163141994
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2407718120805369
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37390625000000005
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11286569148936171
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/databricks/dolly-v2-3b/a8838707-f188-440e-801f-e780e0dd362a.json b/data/hfopenllm_v2/databricks/dolly-v2-3b/a8838707-f188-440e-801f-e780e0dd362a.json
deleted file mode 100644
index 89019da12..000000000
--- a/data/hfopenllm_v2/databricks/dolly-v2-3b/a8838707-f188-440e-801f-e780e0dd362a.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/databricks_dolly-v2-3b/1762652580.1200871",
-  "retrieved_timestamp": "1762652580.1200871",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "databricks/dolly-v2-3b",
-    "developer": "databricks",
-    "inference_platform": "unknown",
-    "id": "databricks/dolly-v2-3b",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "GPTNeoXForCausalLM",
-      "params_billions": 3.0
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.22471597583301195
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30792785961544844
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.015105740181268883
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2609060402684564
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.33378125
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11452792553191489
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/databricks/dolly-v2-3b/bf2be2d5-58de-4550-b733-a5910bded48d.json b/data/hfopenllm_v2/databricks/dolly-v2-3b/bf2be2d5-58de-4550-b733-a5910bded48d.json
new file mode 100644
index 000000000..0f29fbdd0
--- /dev/null
+++ b/data/hfopenllm_v2/databricks/dolly-v2-3b/bf2be2d5-58de-4550-b733-a5910bded48d.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/databricks_dolly-v2-3b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "dolly-v2-3b",
+    "id": "databricks/dolly-v2-3b",
+    "developer": "databricks",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "GPTNeoXForCausalLM",
+      "params_billions": 3.0
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2247
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3079
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0151
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2609
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3338
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1145
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/databricks/dolly-v2-7b/52b32c1f-6189-4850-b3f4-de442eb2ccb5.json b/data/hfopenllm_v2/databricks/dolly-v2-7b/52b32c1f-6189-4850-b3f4-de442eb2ccb5.json
new file mode 100644
index 000000000..99647f517
--- /dev/null
+++ b/data/hfopenllm_v2/databricks/dolly-v2-7b/52b32c1f-6189-4850-b3f4-de442eb2ccb5.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/databricks_dolly-v2-7b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "dolly-v2-7b",
+    "id": "databricks/dolly-v2-7b",
+    "developer": "databricks",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "GPTNeoXForCausalLM",
+      "params_billions": 7.0
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.201
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3173
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0144
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2685
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3553
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1149
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/databricks/dolly-v2-7b/68f999d7-2dc2-4b3c-ab02-6140387893c0.json b/data/hfopenllm_v2/databricks/dolly-v2-7b/68f999d7-2dc2-4b3c-ab02-6140387893c0.json
deleted file mode 100644
index 62444ae17..000000000
--- a/data/hfopenllm_v2/databricks/dolly-v2-7b/68f999d7-2dc2-4b3c-ab02-6140387893c0.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/databricks_dolly-v2-7b/1762652580.120286",
-  "retrieved_timestamp": "1762652580.120287",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "databricks/dolly-v2-7b",
-    "developer": "databricks",
-    "inference_platform": "unknown",
-    "id": "databricks/dolly-v2-7b",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "GPTNeoXForCausalLM",
-      "params_billions": 7.0
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2009856070781083
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.31730628122070326
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.014350453172205438
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2684563758389262
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.35530208333333335
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1149434840425532
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/davidkim205/Rhea-72b-v0.5/106de4e2-a8d3-40d3-bdbc-0b95930e9ba6.json b/data/hfopenllm_v2/davidkim205/Rhea-72b-v0.5/106de4e2-a8d3-40d3-bdbc-0b95930e9ba6.json
deleted file mode 100644
index 03f75df43..000000000
--- a/data/hfopenllm_v2/davidkim205/Rhea-72b-v0.5/106de4e2-a8d3-40d3-bdbc-0b95930e9ba6.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
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-    "developer": "davidkim205",
-    "inference_platform": "unknown",
-    "id": "davidkim205/Rhea-72b-v0.5",
-    "additional_details": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
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-        "lower_is_better": false,
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-        "min_score": 0,
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
-        "score": 0.42413541666666665
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-}
diff --git a/data/hfopenllm_v2/davidkim205/Rhea-72b-v0.5/87b44160-c3dd-452d-8c15-c4f758f8db7b.json b/data/hfopenllm_v2/davidkim205/Rhea-72b-v0.5/87b44160-c3dd-452d-8c15-c4f758f8db7b.json
new file mode 100644
index 000000000..6a35282cd
--- /dev/null
+++ b/data/hfopenllm_v2/davidkim205/Rhea-72b-v0.5/87b44160-c3dd-452d-8c15-c4f758f8db7b.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/davidkim205_Rhea-72b-v0.5/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Rhea-72b-v0.5",
+    "id": "davidkim205/Rhea-72b-v0.5",
+    "developer": "davidkim205",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 72.0
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0145
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3078
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1737
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2525
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4241
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1166
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/davidkim205/nox-solar-10.7b-v4/3e6814d3-54ea-493f-a9fc-85ae9eed1b05.json b/data/hfopenllm_v2/davidkim205/nox-solar-10.7b-v4/3e6814d3-54ea-493f-a9fc-85ae9eed1b05.json
new file mode 100644
index 000000000..0227496f4
--- /dev/null
+++ b/data/hfopenllm_v2/davidkim205/nox-solar-10.7b-v4/3e6814d3-54ea-493f-a9fc-85ae9eed1b05.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/davidkim205_nox-solar-10.7b-v4/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "nox-solar-10.7b-v4",
+    "id": "davidkim205/nox-solar-10.7b-v4",
+    "developer": "davidkim205",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 10.732
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3753
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4814
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0083
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.307
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4298
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3333
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/davidkim205/nox-solar-10.7b-v4/fcc755d0-6269-49e6-890b-4a14417601a1.json b/data/hfopenllm_v2/davidkim205/nox-solar-10.7b-v4/fcc755d0-6269-49e6-890b-4a14417601a1.json
deleted file mode 100644
index e65953e5e..000000000
--- a/data/hfopenllm_v2/davidkim205/nox-solar-10.7b-v4/fcc755d0-6269-49e6-890b-4a14417601a1.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/davidkim205_nox-solar-10.7b-v4/1762652580.1212",
-  "retrieved_timestamp": "1762652580.1212008",
-  "source_data": [
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-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "davidkim205/nox-solar-10.7b-v4",
-    "developer": "davidkim205",
-    "inference_platform": "unknown",
-    "id": "davidkim205/nox-solar-10.7b-v4",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 10.732
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-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-        "lower_is_better": false,
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-    {
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-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42984375
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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diff --git a/data/hfopenllm_v2/deepseek-ai/DeepSeek-R1-Distill-Llama-70B/35b7ff42-3825-4240-97bf-f8af7e8c23ff.json b/data/hfopenllm_v2/deepseek-ai/DeepSeek-R1-Distill-Llama-70B/35b7ff42-3825-4240-97bf-f8af7e8c23ff.json
new file mode 100644
index 000000000..d4fcf871a
--- /dev/null
+++ b/data/hfopenllm_v2/deepseek-ai/DeepSeek-R1-Distill-Llama-70B/35b7ff42-3825-4240-97bf-f8af7e8c23ff.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/deepseek-ai_DeepSeek-R1-Distill-Llama-70B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "DeepSeek-R1-Distill-Llama-70B",
+    "id": "deepseek-ai/DeepSeek-R1-Distill-Llama-70B",
+    "developer": "deepseek-ai",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 70.554
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4336
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5635
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3074
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2651
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4342
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4748
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/deepseek-ai/DeepSeek-R1-Distill-Llama-8B/c108173e-1582-4c99-9291-46986d7ba1cf.json b/data/hfopenllm_v2/deepseek-ai/DeepSeek-R1-Distill-Llama-8B/c108173e-1582-4c99-9291-46986d7ba1cf.json
new file mode 100644
index 000000000..50037a506
--- /dev/null
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diff --git a/data/hfopenllm_v2/deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B/6feb08b0-1c67-4fe2-a001-0b3b84529687.json b/data/hfopenllm_v2/deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B/6feb08b0-1c67-4fe2-a001-0b3b84529687.json
new file mode 100644
index 000000000..642a4c84c
--- /dev/null
+++ b/data/hfopenllm_v2/deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B/6feb08b0-1c67-4fe2-a001-0b3b84529687.json
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/deepseek-ai/DeepSeek-R1-Distill-Qwen-14B/d4ab3df2-109a-4eec-9742-dc3bb79d5a58.json b/data/hfopenllm_v2/deepseek-ai/DeepSeek-R1-Distill-Qwen-14B/d4ab3df2-109a-4eec-9742-dc3bb79d5a58.json
new file mode 100644
index 000000000..6772800d9
--- /dev/null
+++ b/data/hfopenllm_v2/deepseek-ai/DeepSeek-R1-Distill-Qwen-14B/d4ab3df2-109a-4eec-9742-dc3bb79d5a58.json
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/deepseek-ai/DeepSeek-R1-Distill-Qwen-32B/53ec995e-bcfd-4a72-bd9a-45d14da3f219.json b/data/hfopenllm_v2/deepseek-ai/DeepSeek-R1-Distill-Qwen-32B/53ec995e-bcfd-4a72-bd9a-45d14da3f219.json
new file mode 100644
index 000000000..69ee0e546
--- /dev/null
+++ b/data/hfopenllm_v2/deepseek-ai/DeepSeek-R1-Distill-Qwen-32B/53ec995e-bcfd-4a72-bd9a-45d14da3f219.json
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/deepseek-ai/DeepSeek-R1-Distill-Qwen-7B/299a0397-89c7-4329-9599-9fc29a52db87.json b/data/hfopenllm_v2/deepseek-ai/DeepSeek-R1-Distill-Qwen-7B/299a0397-89c7-4329-9599-9fc29a52db87.json
new file mode 100644
index 000000000..8f7f946ab
--- /dev/null
+++ b/data/hfopenllm_v2/deepseek-ai/DeepSeek-R1-Distill-Qwen-7B/299a0397-89c7-4329-9599-9fc29a52db87.json
@@ -0,0 +1,132 @@
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+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3663
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2321
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/deepseek-ai/deepseek-llm-67b-chat/41adbc32-6cdf-49ba-980c-6eb6f722b40b.json b/data/hfopenllm_v2/deepseek-ai/deepseek-llm-67b-chat/41adbc32-6cdf-49ba-980c-6eb6f722b40b.json
new file mode 100644
index 000000000..e02fd22ba
--- /dev/null
+++ b/data/hfopenllm_v2/deepseek-ai/deepseek-llm-67b-chat/41adbc32-6cdf-49ba-980c-6eb6f722b40b.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/deepseek-ai_deepseek-llm-67b-chat/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "deepseek-llm-67b-chat",
+    "id": "deepseek-ai/deepseek-llm-67b-chat",
+    "developer": "deepseek-ai",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 67.0
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5587
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5243
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0929
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3163
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5059
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3944
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/deepseek-ai/deepseek-llm-67b-chat/eeea1c5c-bf81-4533-aace-ccb85153320f.json b/data/hfopenllm_v2/deepseek-ai/deepseek-llm-67b-chat/eeea1c5c-bf81-4533-aace-ccb85153320f.json
deleted file mode 100644
index cb52cbea5..000000000
--- a/data/hfopenllm_v2/deepseek-ai/deepseek-llm-67b-chat/eeea1c5c-bf81-4533-aace-ccb85153320f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/deepseek-ai_deepseek-llm-67b-chat/1762652580.1230679",
-  "retrieved_timestamp": "1762652580.1230688",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "deepseek-ai/deepseek-llm-67b-chat",
-    "developer": "deepseek-ai",
-    "inference_platform": "unknown",
-    "id": "deepseek-ai/deepseek-llm-67b-chat",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 67.0
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5587153197959193
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5243416179742358
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
-        "score": 0.09290030211480363
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-    },
-    {
-      "evaluation_name": "GPQA",
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-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3162751677852349
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5058645833333334
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3943650265957447
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/deepseek-ai/deepseek-llm-7b-base/4236ece5-f2b2-44e7-9503-9731bff20155.json b/data/hfopenllm_v2/deepseek-ai/deepseek-llm-7b-base/4236ece5-f2b2-44e7-9503-9731bff20155.json
new file mode 100644
index 000000000..fa4327008
--- /dev/null
+++ b/data/hfopenllm_v2/deepseek-ai/deepseek-llm-7b-base/4236ece5-f2b2-44e7-9503-9731bff20155.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/deepseek-ai_deepseek-llm-7b-base/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "deepseek-llm-7b-base",
+    "id": "deepseek-ai/deepseek-llm-7b-base",
+    "developer": "deepseek-ai",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 7.0
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2179
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3503
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0196
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2735
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3738
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1806
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/deepseek-ai/deepseek-llm-7b-base/e11d46c2-c121-4c74-94ae-e6ec9a5898af.json b/data/hfopenllm_v2/deepseek-ai/deepseek-llm-7b-base/e11d46c2-c121-4c74-94ae-e6ec9a5898af.json
deleted file mode 100644
index c06e87638..000000000
--- a/data/hfopenllm_v2/deepseek-ai/deepseek-llm-7b-base/e11d46c2-c121-4c74-94ae-e6ec9a5898af.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/deepseek-ai_deepseek-llm-7b-base/1762652580.1234062",
-  "retrieved_timestamp": "1762652580.1234071",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "deepseek-ai/deepseek-llm-7b-base",
-    "developer": "deepseek-ai",
-    "inference_platform": "unknown",
-    "id": "deepseek-ai/deepseek-llm-7b-base",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 7.0
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.217871913190335
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.35030315829299524
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.019637462235649546
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.27348993288590606
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37378124999999995
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.18060172872340424
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/deepseek-ai/deepseek-llm-7b-chat/b33d672c-4a96-4093-bc13-25c42303b918.json b/data/hfopenllm_v2/deepseek-ai/deepseek-llm-7b-chat/b33d672c-4a96-4093-bc13-25c42303b918.json
new file mode 100644
index 000000000..cd8ef9eab
--- /dev/null
+++ b/data/hfopenllm_v2/deepseek-ai/deepseek-llm-7b-chat/b33d672c-4a96-4093-bc13-25c42303b918.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/deepseek-ai_deepseek-llm-7b-chat/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "deepseek-llm-7b-chat",
+    "id": "deepseek-ai/deepseek-llm-7b-chat",
+    "developer": "deepseek-ai",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 7.0
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4171
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3632
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+    },
+    {
+      "evaluation_name": "GPQA",
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+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2659
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+      "score_details": {
+        "score": 0.4668
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2133
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/deepseek-ai/deepseek-llm-7b-chat/b9dd96f5-6ab0-4df4-9ee2-bd34c4c9fb05.json b/data/hfopenllm_v2/deepseek-ai/deepseek-llm-7b-chat/b9dd96f5-6ab0-4df4-9ee2-bd34c4c9fb05.json
deleted file mode 100644
index e648625cd..000000000
--- a/data/hfopenllm_v2/deepseek-ai/deepseek-llm-7b-chat/b9dd96f5-6ab0-4df4-9ee2-bd34c4c9fb05.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/deepseek-ai_deepseek-llm-7b-chat/1762652580.123629",
-  "retrieved_timestamp": "1762652580.12363",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "deepseek-ai/deepseek-llm-7b-chat",
-    "developer": "deepseek-ai",
-    "inference_platform": "unknown",
-    "id": "deepseek-ai/deepseek-llm-7b-chat",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 7.0
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4170822307034225
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3632079760108669
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.02039274924471299
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.26593959731543626
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.46677083333333336
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.21334773936170212
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/deepseek-ai/deepseek-moe-16b-base/2b4f42fc-8b25-481c-98f7-911c52fdd242.json b/data/hfopenllm_v2/deepseek-ai/deepseek-moe-16b-base/2b4f42fc-8b25-481c-98f7-911c52fdd242.json
new file mode 100644
index 000000000..a987a5874
--- /dev/null
+++ b/data/hfopenllm_v2/deepseek-ai/deepseek-moe-16b-base/2b4f42fc-8b25-481c-98f7-911c52fdd242.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/deepseek-ai_deepseek-moe-16b-base/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "deepseek-moe-16b-base",
+    "id": "deepseek-ai/deepseek-moe-16b-base",
+    "developer": "deepseek-ai",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "DeepseekForCausalLM",
+      "params_billions": 16.376
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.245
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3409
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0242
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2542
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3658
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1505
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/deepseek-ai/deepseek-moe-16b-base/32767af1-f01b-42ca-a8e2-6fecc5af4bfc.json b/data/hfopenllm_v2/deepseek-ai/deepseek-moe-16b-base/32767af1-f01b-42ca-a8e2-6fecc5af4bfc.json
deleted file mode 100644
index 6bc519ad0..000000000
--- a/data/hfopenllm_v2/deepseek-ai/deepseek-moe-16b-base/32767af1-f01b-42ca-a8e2-6fecc5af4bfc.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/deepseek-ai_deepseek-moe-16b-base/1762652580.123848",
-  "retrieved_timestamp": "1762652580.123849",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "deepseek-ai/deepseek-moe-16b-base",
-    "developer": "deepseek-ai",
-    "inference_platform": "unknown",
-    "id": "deepseek-ai/deepseek-moe-16b-base",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "DeepseekForCausalLM",
-      "params_billions": 16.376
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2449744455821664
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3409461055246395
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.02416918429003021
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.25419463087248323
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.36578125
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1505152925531915
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/deepseek-ai/deepseek-moe-16b-chat/634b7a64-2bd3-48b8-b2f4-a93189801850.json b/data/hfopenllm_v2/deepseek-ai/deepseek-moe-16b-chat/634b7a64-2bd3-48b8-b2f4-a93189801850.json
new file mode 100644
index 000000000..92b956141
--- /dev/null
+++ b/data/hfopenllm_v2/deepseek-ai/deepseek-moe-16b-chat/634b7a64-2bd3-48b8-b2f4-a93189801850.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/deepseek-ai_deepseek-moe-16b-chat/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "deepseek-moe-16b-chat",
+    "id": "deepseek-ai/deepseek-moe-16b-chat",
+    "developer": "deepseek-ai",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "DeepseekForCausalLM",
+      "params_billions": 16.376
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3663
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3275
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0257
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2248
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3808
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1964
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/deepseek-ai/deepseek-moe-16b-chat/81c514f2-5a06-4d50-8c00-dc8b97529f46.json b/data/hfopenllm_v2/deepseek-ai/deepseek-moe-16b-chat/81c514f2-5a06-4d50-8c00-dc8b97529f46.json
deleted file mode 100644
index 0702fa36d..000000000
--- a/data/hfopenllm_v2/deepseek-ai/deepseek-moe-16b-chat/81c514f2-5a06-4d50-8c00-dc8b97529f46.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/deepseek-ai_deepseek-moe-16b-chat/1762652580.1240609",
-  "retrieved_timestamp": "1762652580.124062",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "deepseek-ai/deepseek-moe-16b-chat",
-    "developer": "deepseek-ai",
-    "inference_platform": "unknown",
-    "id": "deepseek-ai/deepseek-moe-16b-chat",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "DeepseekForCausalLM",
-      "params_billions": 16.376
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.36629919724109805
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3274953026448241
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.0256797583081571
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.22483221476510068
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.38076041666666666
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1963929521276596
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/dfurman/CalmeRys-78B-Orpo-v0.1/31d8cf18-7b35-438e-8dc6-cdba0f593348.json b/data/hfopenllm_v2/dfurman/CalmeRys-78B-Orpo-v0.1/31d8cf18-7b35-438e-8dc6-cdba0f593348.json
deleted file mode 100644
index b4ce17cd6..000000000
--- a/data/hfopenllm_v2/dfurman/CalmeRys-78B-Orpo-v0.1/31d8cf18-7b35-438e-8dc6-cdba0f593348.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/dfurman_CalmeRys-78B-Orpo-v0.1/1762652580.124436",
-  "retrieved_timestamp": "1762652580.124437",
-  "source_data": [
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new file mode 100644
index 000000000..152bc2222
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new file mode 100644
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new file mode 100644
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new file mode 100644
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/dfurman/Qwen2-72B-Orpo-v0.1/2d99af7a-f67c-4e74-9ba2-f1401dfdf9fb.json b/data/hfopenllm_v2/dfurman/Qwen2-72B-Orpo-v0.1/2d99af7a-f67c-4e74-9ba2-f1401dfdf9fb.json
new file mode 100644
index 000000000..561c35bcc
--- /dev/null
+++ b/data/hfopenllm_v2/dfurman/Qwen2-72B-Orpo-v0.1/2d99af7a-f67c-4e74-9ba2-f1401dfdf9fb.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/dfurman_Qwen2-72B-Orpo-v0.1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2-72B-Orpo-v0.1",
+    "id": "dfurman/Qwen2-72B-Orpo-v0.1",
+    "developer": "dfurman",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 72.699
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.788
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6969
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4056
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3842
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4784
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5455
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/dicta-il/dictalm2.0-instruct/315fa815-fab0-47c9-8185-00bc597c0176.json b/data/hfopenllm_v2/dicta-il/dictalm2.0-instruct/315fa815-fab0-47c9-8185-00bc597c0176.json
new file mode 100644
index 000000000..66466a5b8
--- /dev/null
+++ b/data/hfopenllm_v2/dicta-il/dictalm2.0-instruct/315fa815-fab0-47c9-8185-00bc597c0176.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/dicta-il_dictalm2.0-instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "dictalm2.0-instruct",
+    "id": "dicta-il/dictalm2.0-instruct",
+    "developer": "dicta-il",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.251
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4412
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4256
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0227
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3029
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3946
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2605
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/dicta-il/dictalm2.0-instruct/4fc01471-7a04-4f46-a973-42f5a3fd67be.json b/data/hfopenllm_v2/dicta-il/dictalm2.0-instruct/4fc01471-7a04-4f46-a973-42f5a3fd67be.json
deleted file mode 100644
index 53cacf646..000000000
--- a/data/hfopenllm_v2/dicta-il/dictalm2.0-instruct/4fc01471-7a04-4f46-a973-42f5a3fd67be.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/dicta-il_dictalm2.0-instruct/1762652580.126274",
-  "retrieved_timestamp": "1762652580.126276",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "dicta-il/dictalm2.0-instruct",
-    "developer": "dicta-il",
-    "inference_platform": "unknown",
-    "id": "dicta-il/dictalm2.0-instruct",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.251
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.44121264910437635
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42560784985912875
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.022658610271903322
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3028523489932886
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.39458333333333334
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2604720744680851
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/dicta-il/dictalm2.0/0c1686db-b396-4ecf-86f1-e4e092491acd.json b/data/hfopenllm_v2/dicta-il/dictalm2.0/0c1686db-b396-4ecf-86f1-e4e092491acd.json
new file mode 100644
index 000000000..d0fee0d39
--- /dev/null
+++ b/data/hfopenllm_v2/dicta-il/dictalm2.0/0c1686db-b396-4ecf-86f1-e4e092491acd.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/dicta-il_dictalm2.0/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "dictalm2.0",
+    "id": "dicta-il/dictalm2.0",
+    "developer": "dicta-il",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.251
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2413
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4018
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0181
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2919
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.382
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2605
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/dicta-il/dictalm2.0/613c1922-270a-4e8b-ae9d-20fa25573258.json b/data/hfopenllm_v2/dicta-il/dictalm2.0/613c1922-270a-4e8b-ae9d-20fa25573258.json
deleted file mode 100644
index a3a1bba25..000000000
--- a/data/hfopenllm_v2/dicta-il/dictalm2.0/613c1922-270a-4e8b-ae9d-20fa25573258.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/dicta-il_dictalm2.0/1762652580.125907",
-  "retrieved_timestamp": "1762652580.125909",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "dicta-il/dictalm2.0",
-    "developer": "dicta-il",
-    "inference_platform": "unknown",
-    "id": "dicta-il/dictalm2.0",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.251
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.24132745559559746
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4017869112495909
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.01812688821752266
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.29194630872483224
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.38196874999999997
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2604720744680851
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/distilbert/distilgpt2/57455fbc-b5a9-4a3b-9a30-7da0593fd778.json b/data/hfopenllm_v2/distilbert/distilgpt2/57455fbc-b5a9-4a3b-9a30-7da0593fd778.json
new file mode 100644
index 000000000..4f626e3c3
--- /dev/null
+++ b/data/hfopenllm_v2/distilbert/distilgpt2/57455fbc-b5a9-4a3b-9a30-7da0593fd778.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/distilbert_distilgpt2/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "distilgpt2",
+    "id": "distilbert/distilgpt2",
+    "developer": "distilbert",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "GPT2LMHeadModel",
+      "params_billions": 0.088
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0611
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3038
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.006
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2592
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4207
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1187
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/divyanshukunwar/SASTRI_1_9B/a8f9d0e6-5a1a-4d09-ac78-47fd586384df.json b/data/hfopenllm_v2/divyanshukunwar/SASTRI_1_9B/a8f9d0e6-5a1a-4d09-ac78-47fd586384df.json
new file mode 100644
index 000000000..419e211aa
--- /dev/null
+++ b/data/hfopenllm_v2/divyanshukunwar/SASTRI_1_9B/a8f9d0e6-5a1a-4d09-ac78-47fd586384df.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/divyanshukunwar_SASTRI_1_9B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "SASTRI_1_9B",
+    "id": "divyanshukunwar/SASTRI_1_9B",
+    "developer": "divyanshukunwar",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Gemma2ForCausalLM",
+      "params_billions": 5.211
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4207
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.468
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1156
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3213
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3831
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3187
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/divyanshukunwar/SASTRI_1_9B/f0ccf0c5-269f-46e1-a13e-b54f2903779b.json b/data/hfopenllm_v2/divyanshukunwar/SASTRI_1_9B/f0ccf0c5-269f-46e1-a13e-b54f2903779b.json
deleted file mode 100644
index b0de15a80..000000000
--- a/data/hfopenllm_v2/divyanshukunwar/SASTRI_1_9B/f0ccf0c5-269f-46e1-a13e-b54f2903779b.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/divyanshukunwar_SASTRI_1_9B/1762652580.1269271",
-  "retrieved_timestamp": "1762652580.1269279",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "divyanshukunwar/SASTRI_1_9B",
-    "developer": "divyanshukunwar",
-    "inference_platform": "unknown",
-    "id": "divyanshukunwar/SASTRI_1_9B",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Gemma2ForCausalLM",
-      "params_billions": 5.211
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4207292206899914
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4680499051118341
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11555891238670694
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3213087248322148
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3831145833333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3187333776595745
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/djuna-test-lab/TEST-L3.2-ReWish-3B-ties-w-base/9d0d4eee-0b87-485c-843f-e32d08aa601b.json b/data/hfopenllm_v2/djuna-test-lab/TEST-L3.2-ReWish-3B-ties-w-base/9d0d4eee-0b87-485c-843f-e32d08aa601b.json
new file mode 100644
index 000000000..fd16ac893
--- /dev/null
+++ b/data/hfopenllm_v2/djuna-test-lab/TEST-L3.2-ReWish-3B-ties-w-base/9d0d4eee-0b87-485c-843f-e32d08aa601b.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/djuna-test-lab_TEST-L3.2-ReWish-3B-ties-w-base/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "TEST-L3.2-ReWish-3B-ties-w-base",
+    "id": "djuna-test-lab/TEST-L3.2-ReWish-3B-ties-w-base",
+    "developer": "djuna-test-lab",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 3.213
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6353
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4495
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1367
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2836
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3777
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3126
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/djuna-test-lab/TEST-L3.2-ReWish-3B-ties-w-base/f64d7325-38eb-4cd4-80b3-bd63d4acb72f.json b/data/hfopenllm_v2/djuna-test-lab/TEST-L3.2-ReWish-3B-ties-w-base/f64d7325-38eb-4cd4-80b3-bd63d4acb72f.json
deleted file mode 100644
index da13f9dcc..000000000
--- a/data/hfopenllm_v2/djuna-test-lab/TEST-L3.2-ReWish-3B-ties-w-base/f64d7325-38eb-4cd4-80b3-bd63d4acb72f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/djuna-test-lab_TEST-L3.2-ReWish-3B-ties-w-base/1762652580.131253",
-  "retrieved_timestamp": "1762652580.131254",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "djuna-test-lab/TEST-L3.2-ReWish-3B-ties-w-base",
-    "developer": "djuna-test-lab",
-    "inference_platform": "unknown",
-    "id": "djuna-test-lab/TEST-L3.2-ReWish-3B-ties-w-base",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 3.213
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.635252241829457
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.449540552927623
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.13670694864048338
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2835570469798658
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37775
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.31258311170212766
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/djuna-test-lab/TEST-L3.2-ReWish-3B/6d57a63e-0fa7-442b-9156-5a8985e04762.json b/data/hfopenllm_v2/djuna-test-lab/TEST-L3.2-ReWish-3B/6d57a63e-0fa7-442b-9156-5a8985e04762.json
deleted file mode 100644
index 7cf6b2aea..000000000
--- a/data/hfopenllm_v2/djuna-test-lab/TEST-L3.2-ReWish-3B/6d57a63e-0fa7-442b-9156-5a8985e04762.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/djuna-test-lab_TEST-L3.2-ReWish-3B/1762652580.131",
-  "retrieved_timestamp": "1762652580.131001",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
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-  "model_info": {
-    "name": "djuna-test-lab/TEST-L3.2-ReWish-3B",
-    "developer": "djuna-test-lab",
-    "inference_platform": "unknown",
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-      "architecture": "LlamaForCausalLM",
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-      "evaluation_name": "IFEval",
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-        "lower_is_better": false,
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-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37775
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.31258311170212766
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/djuna-test-lab/TEST-L3.2-ReWish-3B/e47c83ff-9a16-488b-8ccf-4a2fad2b14fc.json b/data/hfopenllm_v2/djuna-test-lab/TEST-L3.2-ReWish-3B/e47c83ff-9a16-488b-8ccf-4a2fad2b14fc.json
new file mode 100644
index 000000000..0a5268a87
--- /dev/null
+++ b/data/hfopenllm_v2/djuna-test-lab/TEST-L3.2-ReWish-3B/e47c83ff-9a16-488b-8ccf-4a2fad2b14fc.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/djuna-test-lab_TEST-L3.2-ReWish-3B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "TEST-L3.2-ReWish-3B",
+    "id": "djuna-test-lab/TEST-L3.2-ReWish-3B",
+    "developer": "djuna-test-lab",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 3.213
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6368
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4495
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1367
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2836
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3777
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3126
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/djuna/G2-BigGSHT-27B-2/69cc67cc-52f9-464a-ab04-b00bb3d8c459.json b/data/hfopenllm_v2/djuna/G2-BigGSHT-27B-2/69cc67cc-52f9-464a-ab04-b00bb3d8c459.json
deleted file mode 100644
index b2b8e59a8..000000000
--- a/data/hfopenllm_v2/djuna/G2-BigGSHT-27B-2/69cc67cc-52f9-464a-ab04-b00bb3d8c459.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/djuna_G2-BigGSHT-27B-2/1762652580.1272058",
-  "retrieved_timestamp": "1762652580.1272068",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "djuna/G2-BigGSHT-27B-2",
-    "developer": "djuna",
-    "inference_platform": "unknown",
-    "id": "djuna/G2-BigGSHT-27B-2",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Gemma2ForCausalLM",
-      "params_billions": 27.227
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7974430067775724
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.641474454273013
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2348942598187311
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.36325503355704697
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.40720833333333334
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.45279255319148937
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/djuna/G2-BigGSHT-27B-2/8c7e25df-884d-4940-8185-4c1b82fac8c5.json b/data/hfopenllm_v2/djuna/G2-BigGSHT-27B-2/8c7e25df-884d-4940-8185-4c1b82fac8c5.json
new file mode 100644
index 000000000..294e1f1ce
--- /dev/null
+++ b/data/hfopenllm_v2/djuna/G2-BigGSHT-27B-2/8c7e25df-884d-4940-8185-4c1b82fac8c5.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/djuna_G2-BigGSHT-27B-2/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "G2-BigGSHT-27B-2",
+    "id": "djuna/G2-BigGSHT-27B-2",
+    "developer": "djuna",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Gemma2ForCausalLM",
+      "params_billions": 27.227
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7974
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6415
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2349
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3633
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4072
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4528
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/djuna/G2-GSHT/83611d50-01d0-4642-a104-daf77f1a0fe8.json b/data/hfopenllm_v2/djuna/G2-GSHT/83611d50-01d0-4642-a104-daf77f1a0fe8.json
new file mode 100644
index 000000000..efbf1c971
--- /dev/null
+++ b/data/hfopenllm_v2/djuna/G2-GSHT/83611d50-01d0-4642-a104-daf77f1a0fe8.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/djuna_G2-GSHT/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "G2-GSHT",
+    "id": "djuna/G2-GSHT",
+    "developer": "djuna",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Gemma2ForCausalLM",
+      "params_billions": 10.159
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.563
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.527
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1926
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3255
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4006
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.307
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/djuna/G2-GSHT/b012b4a9-52d9-4b75-b80d-819579572f05.json b/data/hfopenllm_v2/djuna/G2-GSHT/b012b4a9-52d9-4b75-b80d-819579572f05.json
deleted file mode 100644
index fe7a1fcf8..000000000
--- a/data/hfopenllm_v2/djuna/G2-GSHT/b012b4a9-52d9-4b75-b80d-819579572f05.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/djuna_G2-GSHT/1762652580.127527",
-  "retrieved_timestamp": "1762652580.127528",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "djuna/G2-GSHT",
-    "developer": "djuna",
-    "inference_platform": "unknown",
-    "id": "djuna/G2-GSHT",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Gemma2ForCausalLM",
-      "params_billions": 10.159
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5630116978505919
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5269730491270207
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.19259818731117825
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.32550335570469796
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.40057291666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3070146276595745
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/djuna/Gemma-2-gemmama-9b/5cbdafba-6071-4da1-8b19-3de612e9ff18.json b/data/hfopenllm_v2/djuna/Gemma-2-gemmama-9b/5cbdafba-6071-4da1-8b19-3de612e9ff18.json
new file mode 100644
index 000000000..2777bf875
--- /dev/null
+++ b/data/hfopenllm_v2/djuna/Gemma-2-gemmama-9b/5cbdafba-6071-4da1-8b19-3de612e9ff18.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/djuna_Gemma-2-gemmama-9b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Gemma-2-gemmama-9b",
+    "id": "djuna/Gemma-2-gemmama-9b",
+    "developer": "djuna",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Gemma2ForCausalLM",
+      "params_billions": 10.159
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7703
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.542
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1926
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3356
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4031
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3109
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/djuna/L3.1-ForStHS/1c934cba-c94a-4aad-9645-84658e0b5588.json b/data/hfopenllm_v2/djuna/L3.1-ForStHS/1c934cba-c94a-4aad-9645-84658e0b5588.json
new file mode 100644
index 000000000..be9ca7b2a
--- /dev/null
+++ b/data/hfopenllm_v2/djuna/L3.1-ForStHS/1c934cba-c94a-4aad-9645-84658e0b5588.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/djuna_L3.1-ForStHS/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "L3.1-ForStHS",
+    "id": "djuna/L3.1-ForStHS",
+    "developer": "djuna",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7813
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5203
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1503
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2911
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4026
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3735
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/djuna/L3.1-ForStHS/2d9e083d-2c5e-4f42-ab27-6f0c150ee4db.json b/data/hfopenllm_v2/djuna/L3.1-ForStHS/2d9e083d-2c5e-4f42-ab27-6f0c150ee4db.json
deleted file mode 100644
index 3dbc921b9..000000000
--- a/data/hfopenllm_v2/djuna/L3.1-ForStHS/2d9e083d-2c5e-4f42-ab27-6f0c150ee4db.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/djuna_L3.1-ForStHS/1762652580.128124",
-  "retrieved_timestamp": "1762652580.128125",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "djuna/L3.1-ForStHS",
-    "developer": "djuna",
-    "inference_platform": "unknown",
-    "id": "djuna/L3.1-ForStHS",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7813313120298586
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5202703381267152
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.15030211480362538
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2911073825503356
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.40264583333333337
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37350398936170215
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/djuna/L3.1-Promissum_Mane-8B-Della-1.5-calc/7aad3f6b-89d9-4c9e-9339-cf4111fc37c6.json b/data/hfopenllm_v2/djuna/L3.1-Promissum_Mane-8B-Della-1.5-calc/7aad3f6b-89d9-4c9e-9339-cf4111fc37c6.json
new file mode 100644
index 000000000..5e6b32a51
--- /dev/null
+++ b/data/hfopenllm_v2/djuna/L3.1-Promissum_Mane-8B-Della-1.5-calc/7aad3f6b-89d9-4c9e-9339-cf4111fc37c6.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/djuna_L3.1-Promissum_Mane-8B-Della-1.5-calc/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "L3.1-Promissum_Mane-8B-Della-1.5-calc",
+    "id": "djuna/L3.1-Promissum_Mane-8B-Della-1.5-calc",
+    "developer": "djuna",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7235
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5433
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1639
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3146
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4253
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3904
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/djuna/L3.1-Promissum_Mane-8B-Della-1.5-calc/f738c507-0826-4d7a-a999-8a01274d8697.json b/data/hfopenllm_v2/djuna/L3.1-Promissum_Mane-8B-Della-1.5-calc/f738c507-0826-4d7a-a999-8a01274d8697.json
deleted file mode 100644
index 75bdb9880..000000000
--- a/data/hfopenllm_v2/djuna/L3.1-Promissum_Mane-8B-Della-1.5-calc/f738c507-0826-4d7a-a999-8a01274d8697.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/djuna_L3.1-Promissum_Mane-8B-Della-1.5-calc/1762652580.1283488",
-  "retrieved_timestamp": "1762652580.12835",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "djuna/L3.1-Promissum_Mane-8B-Della-1.5-calc",
-    "developer": "djuna",
-    "inference_platform": "unknown",
-    "id": "djuna/L3.1-Promissum_Mane-8B-Della-1.5-calc",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7235291249440374
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5432920704935255
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.16389728096676737
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3145973154362416
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42528125
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.390375664893617
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/djuna/L3.1-Promissum_Mane-8B-Della-calc/38d4a8ca-4273-4e6a-8a39-3b5ff20ec461.json b/data/hfopenllm_v2/djuna/L3.1-Promissum_Mane-8B-Della-calc/38d4a8ca-4273-4e6a-8a39-3b5ff20ec461.json
new file mode 100644
index 000000000..2ab5da35c
--- /dev/null
+++ b/data/hfopenllm_v2/djuna/L3.1-Promissum_Mane-8B-Della-calc/38d4a8ca-4273-4e6a-8a39-3b5ff20ec461.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/djuna_L3.1-Promissum_Mane-8B-Della-calc/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "L3.1-Promissum_Mane-8B-Della-calc",
+    "id": "djuna/L3.1-Promissum_Mane-8B-Della-calc",
+    "developer": "djuna",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5442
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5486
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1843
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2995
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.423
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3802
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/djuna/L3.1-Promissum_Mane-8B-Della-calc/54d2c316-3c41-4d13-879d-a23c071a6885.json b/data/hfopenllm_v2/djuna/L3.1-Promissum_Mane-8B-Della-calc/54d2c316-3c41-4d13-879d-a23c071a6885.json
deleted file mode 100644
index 8bbc6b280..000000000
--- a/data/hfopenllm_v2/djuna/L3.1-Promissum_Mane-8B-Della-calc/54d2c316-3c41-4d13-879d-a23c071a6885.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/djuna_L3.1-Promissum_Mane-8B-Della-calc/1762652580.128573",
-  "retrieved_timestamp": "1762652580.128574",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "djuna/L3.1-Promissum_Mane-8B-Della-calc",
-    "developer": "djuna",
-    "inference_platform": "unknown",
-    "id": "djuna/L3.1-Promissum_Mane-8B-Della-calc",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.544152847777231
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.548587625935678
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.18429003021148035
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.29949664429530204
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4229895833333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3801529255319149
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/djuna/L3.1-Purosani-2-8B/3d65fbc2-bf91-479c-a687-e9ef702794fb.json b/data/hfopenllm_v2/djuna/L3.1-Purosani-2-8B/3d65fbc2-bf91-479c-a687-e9ef702794fb.json
new file mode 100644
index 000000000..14e62740c
--- /dev/null
+++ b/data/hfopenllm_v2/djuna/L3.1-Purosani-2-8B/3d65fbc2-bf91-479c-a687-e9ef702794fb.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/djuna_L3.1-Purosani-2-8B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "L3.1-Purosani-2-8B",
+    "id": "djuna/L3.1-Purosani-2-8B",
+    "developer": "djuna",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4988
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5182
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1171
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3012
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3816
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3752
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/djuna/L3.1-Purosani-2-8B/f1cc7f8d-72da-40ef-8cb1-f069cd0c052e.json b/data/hfopenllm_v2/djuna/L3.1-Purosani-2-8B/f1cc7f8d-72da-40ef-8cb1-f069cd0c052e.json
deleted file mode 100644
index 3896e881f..000000000
--- a/data/hfopenllm_v2/djuna/L3.1-Purosani-2-8B/f1cc7f8d-72da-40ef-8cb1-f069cd0c052e.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/djuna_L3.1-Purosani-2-8B/1762652580.128782",
-  "retrieved_timestamp": "1762652580.128783",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "djuna/L3.1-Purosani-2-8B",
-    "developer": "djuna",
-    "inference_platform": "unknown",
-    "id": "djuna/L3.1-Purosani-2-8B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4988153654525548
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5182122256069372
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11706948640483383
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3011744966442953
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.38162499999999994
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3751662234042553
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/djuna/L3.1-Suze-Vume-calc/3a48a9ec-61a5-45fd-903a-de2ef90ef13e.json b/data/hfopenllm_v2/djuna/L3.1-Suze-Vume-calc/3a48a9ec-61a5-45fd-903a-de2ef90ef13e.json
deleted file mode 100644
index 99000568c..000000000
--- a/data/hfopenllm_v2/djuna/L3.1-Suze-Vume-calc/3a48a9ec-61a5-45fd-903a-de2ef90ef13e.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/djuna_L3.1-Suze-Vume-calc/1762652580.128992",
-  "retrieved_timestamp": "1762652580.128992",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "djuna/L3.1-Suze-Vume-calc",
-    "developer": "djuna",
-    "inference_platform": "unknown",
-    "id": "djuna/L3.1-Suze-Vume-calc",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7296739318341999
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.516421105092519
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11404833836858005
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.28187919463087246
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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diff --git a/data/hfopenllm_v2/djuna/L3.1-Suze-Vume-calc/650cdbbb-e066-4581-8d61-77aa6a4c402c.json b/data/hfopenllm_v2/djuna/L3.1-Suze-Vume-calc/650cdbbb-e066-4581-8d61-77aa6a4c402c.json
new file mode 100644
index 000000000..7bf4c3862
--- /dev/null
+++ b/data/hfopenllm_v2/djuna/L3.1-Suze-Vume-calc/650cdbbb-e066-4581-8d61-77aa6a4c402c.json
@@ -0,0 +1,132 @@
+{
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+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
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+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
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+  "model_info": {
+    "name": "L3.1-Suze-Vume-calc",
+    "id": "djuna/L3.1-Suze-Vume-calc",
+    "developer": "djuna",
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+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+      "source_data": {
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+        "hf_repo": "SaylorTwift/bbh"
+      },
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+        "evaluation_description": "Accuracy on BBH",
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+        "score_type": "continuous",
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+        "max_score": 1.0
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+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
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+        "max_score": 1.0
+      },
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+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
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+    }
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/djuna/MN-Chinofun-12B-2/05d566c5-1810-483c-8ce0-84635b9457dc.json b/data/hfopenllm_v2/djuna/MN-Chinofun-12B-2/05d566c5-1810-483c-8ce0-84635b9457dc.json
new file mode 100644
index 000000000..5e17b60d7
--- /dev/null
+++ b/data/hfopenllm_v2/djuna/MN-Chinofun-12B-2/05d566c5-1810-483c-8ce0-84635b9457dc.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/djuna_MN-Chinofun-12B-2/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "MN-Chinofun-12B-2",
+    "id": "djuna/MN-Chinofun-12B-2",
+    "developer": "djuna",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 12.248
+    }
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+  "evaluation_results": [
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
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+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
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+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+      "score_details": {
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+      }
+    },
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
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+    {
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+        "hf_repo": "Idavidrein/gpqa"
+      },
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+      },
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+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
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+        "max_score": 1.0
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+      "score_details": {
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+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/djuna/MN-Chinofun-12B-2/7b384a2a-50c5-4c04-a9dd-5a9acefbd81f.json b/data/hfopenllm_v2/djuna/MN-Chinofun-12B-2/7b384a2a-50c5-4c04-a9dd-5a9acefbd81f.json
deleted file mode 100644
index 003f6e9a0..000000000
--- a/data/hfopenllm_v2/djuna/MN-Chinofun-12B-2/7b384a2a-50c5-4c04-a9dd-5a9acefbd81f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-    "developer": "djuna",
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diff --git a/data/hfopenllm_v2/djuna/MN-Chinofun-12B-3/32a4d80a-9d28-47f4-b68f-36e95a400bf2.json b/data/hfopenllm_v2/djuna/MN-Chinofun-12B-3/32a4d80a-9d28-47f4-b68f-36e95a400bf2.json
deleted file mode 100644
index 0df09d666..000000000
--- a/data/hfopenllm_v2/djuna/MN-Chinofun-12B-3/32a4d80a-9d28-47f4-b68f-36e95a400bf2.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/djuna_MN-Chinofun-12B-3/1762652580.129836",
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-    "name": "djuna/MN-Chinofun-12B-3",
-    "developer": "djuna",
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-    "id": "djuna/MN-Chinofun-12B-3",
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-        "score_type": "continuous",
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-}
diff --git a/data/hfopenllm_v2/djuna/MN-Chinofun-12B-3/37e3456a-92ff-4122-a697-ffbdc1c79555.json b/data/hfopenllm_v2/djuna/MN-Chinofun-12B-3/37e3456a-92ff-4122-a697-ffbdc1c79555.json
new file mode 100644
index 000000000..d1f440712
--- /dev/null
+++ b/data/hfopenllm_v2/djuna/MN-Chinofun-12B-3/37e3456a-92ff-4122-a697-ffbdc1c79555.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/djuna_MN-Chinofun-12B-3/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "MN-Chinofun-12B-3",
+    "id": "djuna/MN-Chinofun-12B-3",
+    "developer": "djuna",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 12.248
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3053
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+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1005
+      }
+    },
+    {
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2659
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4198
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+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3026
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/djuna/MN-Chinofun-12B-4/4f09e60c-e68a-426c-ac7e-f5e6755e14be.json b/data/hfopenllm_v2/djuna/MN-Chinofun-12B-4/4f09e60c-e68a-426c-ac7e-f5e6755e14be.json
deleted file mode 100644
index 976c4b9a6..000000000
--- a/data/hfopenllm_v2/djuna/MN-Chinofun-12B-4/4f09e60c-e68a-426c-ac7e-f5e6755e14be.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/djuna_MN-Chinofun-12B-4/1762652580.13009",
-  "retrieved_timestamp": "1762652580.130091",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "djuna/MN-Chinofun-12B-4",
-    "developer": "djuna",
-    "inference_platform": "unknown",
-    "id": "djuna/MN-Chinofun-12B-4",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 12.248
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5404305021786637
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5347693369790583
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11178247734138973
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2953020134228188
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4306770833333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3497340425531915
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/djuna/MN-Chinofun-12B-4/70c908d4-f1bf-4553-9bf7-95eb593b4853.json b/data/hfopenllm_v2/djuna/MN-Chinofun-12B-4/70c908d4-f1bf-4553-9bf7-95eb593b4853.json
new file mode 100644
index 000000000..c46c8ff73
--- /dev/null
+++ b/data/hfopenllm_v2/djuna/MN-Chinofun-12B-4/70c908d4-f1bf-4553-9bf7-95eb593b4853.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/djuna_MN-Chinofun-12B-4/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "MN-Chinofun-12B-4",
+    "id": "djuna/MN-Chinofun-12B-4",
+    "developer": "djuna",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 12.248
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5404
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5348
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1118
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2953
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4307
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3497
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/djuna/MN-Chinofun/023756a1-66cc-423a-803b-0d8b0f368bd2.json b/data/hfopenllm_v2/djuna/MN-Chinofun/023756a1-66cc-423a-803b-0d8b0f368bd2.json
deleted file mode 100644
index 45612d459..000000000
--- a/data/hfopenllm_v2/djuna/MN-Chinofun/023756a1-66cc-423a-803b-0d8b0f368bd2.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/djuna_MN-Chinofun/1762652580.1291971",
-  "retrieved_timestamp": "1762652580.1291971",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "djuna/MN-Chinofun",
-    "developer": "djuna",
-    "inference_platform": "unknown",
-    "id": "djuna/MN-Chinofun",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 12.248
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6110220880596817
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.49527033812671534
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.13066465256797583
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2961409395973154
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.40835416666666663
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.36028922872340424
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/djuna/MN-Chinofun/2ccc9c20-5414-4286-abcd-ad2b20f8652d.json b/data/hfopenllm_v2/djuna/MN-Chinofun/2ccc9c20-5414-4286-abcd-ad2b20f8652d.json
new file mode 100644
index 000000000..3bb80844d
--- /dev/null
+++ b/data/hfopenllm_v2/djuna/MN-Chinofun/2ccc9c20-5414-4286-abcd-ad2b20f8652d.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/djuna_MN-Chinofun/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "MN-Chinofun",
+    "id": "djuna/MN-Chinofun",
+    "developer": "djuna",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 12.248
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.611
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4953
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1307
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2961
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4084
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3603
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/djuna/Q2.5-Partron-7B/50f4560a-e172-42b9-b552-437aff158a38.json b/data/hfopenllm_v2/djuna/Q2.5-Partron-7B/50f4560a-e172-42b9-b552-437aff158a38.json
new file mode 100644
index 000000000..0893e6c11
--- /dev/null
+++ b/data/hfopenllm_v2/djuna/Q2.5-Partron-7B/50f4560a-e172-42b9-b552-437aff158a38.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/djuna_Q2.5-Partron-7B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Q2.5-Partron-7B",
+    "id": "djuna/Q2.5-Partron-7B",
+    "developer": "djuna",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.613
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7321
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5418
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4826
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2978
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4165
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4283
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/djuna/Q2.5-Partron-7B/b045b20a-cdbf-4495-89ae-b235ada2e9e0.json b/data/hfopenllm_v2/djuna/Q2.5-Partron-7B/b045b20a-cdbf-4495-89ae-b235ada2e9e0.json
deleted file mode 100644
index b2919e3dd..000000000
--- a/data/hfopenllm_v2/djuna/Q2.5-Partron-7B/b045b20a-cdbf-4495-89ae-b235ada2e9e0.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/djuna_Q2.5-Partron-7B/1762652580.130363",
-  "retrieved_timestamp": "1762652580.130364",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
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-  "source_metadata": {
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diff --git a/data/hfopenllm_v2/djuna/Q2.5-Veltha-14B-0.5/258520cb-360a-4629-be8e-e4ffca8a81b2.json b/data/hfopenllm_v2/djuna/Q2.5-Veltha-14B-0.5/258520cb-360a-4629-be8e-e4ffca8a81b2.json
deleted file mode 100644
index 4e3ada639..000000000
--- a/data/hfopenllm_v2/djuna/Q2.5-Veltha-14B-0.5/258520cb-360a-4629-be8e-e4ffca8a81b2.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/djuna_Q2.5-Veltha-14B-0.5/1762652580.13079",
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-  "source_data": [
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-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
-    "name": "djuna/Q2.5-Veltha-14B-0.5",
-    "developer": "djuna",
-    "inference_platform": "unknown",
-    "id": "djuna/Q2.5-Veltha-14B-0.5",
-    "additional_details": {
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-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 14.766
-    }
-  },
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-      "evaluation_name": "IFEval",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-      "evaluation_name": "BBH",
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-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-    },
-    {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
-        "score": 0.36828859060402686
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.43390625
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5295046542553191
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-    }
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-}
diff --git a/data/hfopenllm_v2/djuna/Q2.5-Veltha-14B-0.5/c6a3abac-8a34-4725-915b-c27c3d0bc484.json b/data/hfopenllm_v2/djuna/Q2.5-Veltha-14B-0.5/c6a3abac-8a34-4725-915b-c27c3d0bc484.json
new file mode 100644
index 000000000..8d30205b4
--- /dev/null
+++ b/data/hfopenllm_v2/djuna/Q2.5-Veltha-14B-0.5/c6a3abac-8a34-4725-915b-c27c3d0bc484.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/djuna_Q2.5-Veltha-14B-0.5/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Q2.5-Veltha-14B-0.5",
+    "id": "djuna/Q2.5-Veltha-14B-0.5",
+    "developer": "djuna",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.766
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7796
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6523
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4373
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3683
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4339
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5295
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/djuna/Q2.5-Veltha-14B/0a9560cd-d3e2-4d41-b83c-f321bcfc9c3c.json b/data/hfopenllm_v2/djuna/Q2.5-Veltha-14B/0a9560cd-d3e2-4d41-b83c-f321bcfc9c3c.json
deleted file mode 100644
index ec6b10907..000000000
--- a/data/hfopenllm_v2/djuna/Q2.5-Veltha-14B/0a9560cd-d3e2-4d41-b83c-f321bcfc9c3c.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/djuna_Q2.5-Veltha-14B/1762652580.130576",
-  "retrieved_timestamp": "1762652580.1305768",
-  "source_data": [
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-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "djuna/Q2.5-Veltha-14B",
-    "developer": "djuna",
-    "inference_platform": "unknown",
-    "id": "djuna/Q2.5-Veltha-14B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 14.766
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.35906040268456374
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41942708333333334
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5298371010638298
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/djuna/Q2.5-Veltha-14B/a8ed68ea-6463-4ff9-9dcd-034080272dec.json b/data/hfopenllm_v2/djuna/Q2.5-Veltha-14B/a8ed68ea-6463-4ff9-9dcd-034080272dec.json
new file mode 100644
index 000000000..b3a521555
--- /dev/null
+++ b/data/hfopenllm_v2/djuna/Q2.5-Veltha-14B/a8ed68ea-6463-4ff9-9dcd-034080272dec.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/djuna_Q2.5-Veltha-14B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Q2.5-Veltha-14B",
+    "id": "djuna/Q2.5-Veltha-14B",
+    "developer": "djuna",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.766
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.8292
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6484
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4789
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3591
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4194
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5298
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/dnhkng/RYS-Llama-3-8B-Instruct/5799ce8b-c00d-49f6-96dc-f7dd057a268c.json b/data/hfopenllm_v2/dnhkng/RYS-Llama-3-8B-Instruct/5799ce8b-c00d-49f6-96dc-f7dd057a268c.json
new file mode 100644
index 000000000..9ecc384c0
--- /dev/null
+++ b/data/hfopenllm_v2/dnhkng/RYS-Llama-3-8B-Instruct/5799ce8b-c00d-49f6-96dc-f7dd057a268c.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/dnhkng_RYS-Llama-3-8B-Instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "RYS-Llama-3-8B-Instruct",
+    "id": "dnhkng/RYS-Llama-3-8B-Instruct",
+    "developer": "dnhkng",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.248
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6958
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4809
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0687
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2576
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3383
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3557
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/dnhkng/RYS-Llama-3-8B-Instruct/85472ae2-d5f0-4896-811b-d4217241bcef.json b/data/hfopenllm_v2/dnhkng/RYS-Llama-3-8B-Instruct/85472ae2-d5f0-4896-811b-d4217241bcef.json
deleted file mode 100644
index 55bdf9359..000000000
--- a/data/hfopenllm_v2/dnhkng/RYS-Llama-3-8B-Instruct/85472ae2-d5f0-4896-811b-d4217241bcef.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/dnhkng_RYS-Llama-3-8B-Instruct/1762652580.131744",
-  "retrieved_timestamp": "1762652580.131744",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "dnhkng/RYS-Llama-3-8B-Instruct",
-    "developer": "dnhkng",
-    "inference_platform": "unknown",
-    "id": "dnhkng/RYS-Llama-3-8B-Instruct",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.248
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6957772044841022
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4808708123069005
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.06873111782477341
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2575503355704698
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.33834375
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.355718085106383
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/dnhkng/RYS-Llama-3-Huge-Instruct/0d261023-3e35-4160-98ca-241bbaee927e.json b/data/hfopenllm_v2/dnhkng/RYS-Llama-3-Huge-Instruct/0d261023-3e35-4160-98ca-241bbaee927e.json
new file mode 100644
index 000000000..f9db9541c
--- /dev/null
+++ b/data/hfopenllm_v2/dnhkng/RYS-Llama-3-Huge-Instruct/0d261023-3e35-4160-98ca-241bbaee927e.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/dnhkng_RYS-Llama-3-Huge-Instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "RYS-Llama-3-Huge-Instruct",
+    "id": "dnhkng/RYS-Llama-3-Huge-Instruct",
+    "developer": "dnhkng",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 99.646
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7686
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6481
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2289
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2609
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4208
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.511
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/dnhkng/RYS-Llama-3-Huge-Instruct/0e8dfce1-b0d3-4ba5-a3be-ba6f52421841.json b/data/hfopenllm_v2/dnhkng/RYS-Llama-3-Huge-Instruct/0e8dfce1-b0d3-4ba5-a3be-ba6f52421841.json
deleted file mode 100644
index 62980471b..000000000
--- a/data/hfopenllm_v2/dnhkng/RYS-Llama-3-Huge-Instruct/0e8dfce1-b0d3-4ba5-a3be-ba6f52421841.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/dnhkng_RYS-Llama-3-Huge-Instruct/1762652580.1319628",
-  "retrieved_timestamp": "1762652580.131964",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "dnhkng/RYS-Llama-3-Huge-Instruct",
-    "developer": "dnhkng",
-    "inference_platform": "unknown",
-    "id": "dnhkng/RYS-Llama-3-Huge-Instruct",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 99.646
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7685917809190725
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6480872171360044
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.22885196374622357
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2609060402684564
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4207604166666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.510970744680851
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/dnhkng/RYS-Llama-3-Large-Instruct/f0454d3b-18b4-488a-94dd-fb24729996c7.json b/data/hfopenllm_v2/dnhkng/RYS-Llama-3-Large-Instruct/f0454d3b-18b4-488a-94dd-fb24729996c7.json
new file mode 100644
index 000000000..b5b981469
--- /dev/null
+++ b/data/hfopenllm_v2/dnhkng/RYS-Llama-3-Large-Instruct/f0454d3b-18b4-488a-94dd-fb24729996c7.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/dnhkng_RYS-Llama-3-Large-Instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "RYS-Llama-3-Large-Instruct",
+    "id": "dnhkng/RYS-Llama-3-Large-Instruct",
+    "developer": "dnhkng",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 73.976
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.8051
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6525
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2304
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2894
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.418
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5137
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/dnhkng/RYS-Llama-3-Large-Instruct/f9485436-6935-422f-9eb1-ee7faeb231d1.json b/data/hfopenllm_v2/dnhkng/RYS-Llama-3-Large-Instruct/f9485436-6935-422f-9eb1-ee7faeb231d1.json
deleted file mode 100644
index cf6a11c91..000000000
--- a/data/hfopenllm_v2/dnhkng/RYS-Llama-3-Large-Instruct/f9485436-6935-422f-9eb1-ee7faeb231d1.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/dnhkng_RYS-Llama-3-Large-Instruct/1762652580.132239",
-  "retrieved_timestamp": "1762652580.132241",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "dnhkng/RYS-Llama-3-Large-Instruct",
-    "developer": "dnhkng",
-    "inference_platform": "unknown",
-    "id": "dnhkng/RYS-Llama-3-Large-Instruct",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 73.976
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.8050616807847621
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.65252690724939
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.23036253776435045
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.28942953020134227
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-    },
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-        "score_type": "continuous",
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-        "max_score": 1
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      }
-    }
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-}
diff --git a/data/hfopenllm_v2/dnhkng/RYS-Llama-3.1-8B-Instruct/62dab9bd-df83-4a0b-be94-0ddd981da6e4.json b/data/hfopenllm_v2/dnhkng/RYS-Llama-3.1-8B-Instruct/62dab9bd-df83-4a0b-be94-0ddd981da6e4.json
deleted file mode 100644
index a1f66c17e..000000000
--- a/data/hfopenllm_v2/dnhkng/RYS-Llama-3.1-8B-Instruct/62dab9bd-df83-4a0b-be94-0ddd981da6e4.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/dnhkng_RYS-Llama-3.1-8B-Instruct/1762652580.132753",
-  "retrieved_timestamp": "1762652580.1327538",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
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-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "dnhkng/RYS-Llama-3.1-8B-Instruct",
-    "developer": "dnhkng",
-    "inference_platform": "unknown",
-    "id": "dnhkng/RYS-Llama-3.1-8B-Instruct",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "?",
-      "params_billions": 8.685
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7684920455502511
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
-        "score": 0.13293051359516617
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2676174496644295
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3681041666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.36394614361702127
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/dnhkng/RYS-Llama-3.1-8B-Instruct/6bafa7a7-3a2a-4141-9564-a762d1cdb1d0.json b/data/hfopenllm_v2/dnhkng/RYS-Llama-3.1-8B-Instruct/6bafa7a7-3a2a-4141-9564-a762d1cdb1d0.json
new file mode 100644
index 000000000..8a33c3dbf
--- /dev/null
+++ b/data/hfopenllm_v2/dnhkng/RYS-Llama-3.1-8B-Instruct/6bafa7a7-3a2a-4141-9564-a762d1cdb1d0.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/dnhkng_RYS-Llama-3.1-8B-Instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "RYS-Llama-3.1-8B-Instruct",
+    "id": "dnhkng/RYS-Llama-3.1-8B-Instruct",
+    "developer": "dnhkng",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "?",
+      "params_billions": 8.685
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7685
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5164
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1329
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2676
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3681
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3639
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/dnhkng/RYS-Llama3.1-Large/37f20f86-40ba-4f63-b29d-efff6cb0e09b.json b/data/hfopenllm_v2/dnhkng/RYS-Llama3.1-Large/37f20f86-40ba-4f63-b29d-efff6cb0e09b.json
new file mode 100644
index 000000000..bd2270331
--- /dev/null
+++ b/data/hfopenllm_v2/dnhkng/RYS-Llama3.1-Large/37f20f86-40ba-4f63-b29d-efff6cb0e09b.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/dnhkng_RYS-Llama3.1-Large/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "RYS-Llama3.1-Large",
+    "id": "dnhkng/RYS-Llama3.1-Large",
+    "developer": "dnhkng",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 81.677
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.8492
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6899
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3505
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3742
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4554
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5249
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/dnhkng/RYS-Medium/bf0e7ce4-09e9-4879-993a-eb50b2a421d7.json b/data/hfopenllm_v2/dnhkng/RYS-Medium/bf0e7ce4-09e9-4879-993a-eb50b2a421d7.json
new file mode 100644
index 000000000..f208cf7e5
--- /dev/null
+++ b/data/hfopenllm_v2/dnhkng/RYS-Medium/bf0e7ce4-09e9-4879-993a-eb50b2a421d7.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/dnhkng_RYS-Medium/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "RYS-Medium",
+    "id": "dnhkng/RYS-Medium",
+    "developer": "dnhkng",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Phi3ForCausalLM",
+      "params_billions": 18.731
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4406
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6285
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.108
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.328
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4069
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4326
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/dnhkng/RYS-Medium/ca1e127b-ded1-4015-85b9-be134c26644d.json b/data/hfopenllm_v2/dnhkng/RYS-Medium/ca1e127b-ded1-4015-85b9-be134c26644d.json
deleted file mode 100644
index d001e1e19..000000000
--- a/data/hfopenllm_v2/dnhkng/RYS-Medium/ca1e127b-ded1-4015-85b9-be134c26644d.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/dnhkng_RYS-Medium/1762652580.131469",
-  "retrieved_timestamp": "1762652580.13147",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "dnhkng/RYS-Medium",
-    "developer": "dnhkng",
-    "inference_platform": "unknown",
-    "id": "dnhkng/RYS-Medium",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Phi3ForCausalLM",
-      "params_billions": 18.731
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4406131287206833
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6284726872432828
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.10800604229607251
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.32802013422818793
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.40692708333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4325964095744681
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/dnhkng/RYS-Phi-3-medium-4k-instruct/94f92919-36fb-4aed-8c0c-2bee0cd1d301.json b/data/hfopenllm_v2/dnhkng/RYS-Phi-3-medium-4k-instruct/94f92919-36fb-4aed-8c0c-2bee0cd1d301.json
deleted file mode 100644
index e7b6885d5..000000000
--- a/data/hfopenllm_v2/dnhkng/RYS-Phi-3-medium-4k-instruct/94f92919-36fb-4aed-8c0c-2bee0cd1d301.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/dnhkng_RYS-Phi-3-medium-4k-instruct/1762652580.133586",
-  "retrieved_timestamp": "1762652580.133587",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "dnhkng/RYS-Phi-3-medium-4k-instruct",
-    "developer": "dnhkng",
-    "inference_platform": "unknown",
-    "id": "dnhkng/RYS-Phi-3-medium-4k-instruct",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Phi3ForCausalLM",
-      "params_billions": 17.709
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4391392616036561
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6226313539198264
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1608761329305136
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3548657718120805
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42528125
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.484624335106383
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/dnhkng/RYS-Phi-3-medium-4k-instruct/bcbc29f7-ea03-4dbe-a83e-d4940b2c6bea.json b/data/hfopenllm_v2/dnhkng/RYS-Phi-3-medium-4k-instruct/bcbc29f7-ea03-4dbe-a83e-d4940b2c6bea.json
new file mode 100644
index 000000000..e893c8a74
--- /dev/null
+++ b/data/hfopenllm_v2/dnhkng/RYS-Phi-3-medium-4k-instruct/bcbc29f7-ea03-4dbe-a83e-d4940b2c6bea.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/dnhkng_RYS-Phi-3-medium-4k-instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "RYS-Phi-3-medium-4k-instruct",
+    "id": "dnhkng/RYS-Phi-3-medium-4k-instruct",
+    "developer": "dnhkng",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Phi3ForCausalLM",
+      "params_billions": 17.709
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4391
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6226
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1609
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3549
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4253
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4846
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/dnhkng/RYS-XLarge-base/1b0bb4ca-9553-4ddd-bf35-cab66685668d.json b/data/hfopenllm_v2/dnhkng/RYS-XLarge-base/1b0bb4ca-9553-4ddd-bf35-cab66685668d.json
deleted file mode 100644
index 2f3c02f41..000000000
--- a/data/hfopenllm_v2/dnhkng/RYS-XLarge-base/1b0bb4ca-9553-4ddd-bf35-cab66685668d.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/dnhkng_RYS-XLarge-base/1762652580.134071",
-  "retrieved_timestamp": "1762652580.134072",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "dnhkng/RYS-XLarge-base",
-    "developer": "dnhkng",
-    "inference_platform": "unknown",
-    "id": "dnhkng/RYS-XLarge-base",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 77.972
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7910233735377686
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7047291858548728
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37915407854984895
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37919463087248323
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4902708333333334
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5430518617021277
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/dnhkng/RYS-XLarge-base/cbea8d66-0370-4998-8e3a-06fef0a60f0c.json b/data/hfopenllm_v2/dnhkng/RYS-XLarge-base/cbea8d66-0370-4998-8e3a-06fef0a60f0c.json
new file mode 100644
index 000000000..7bb7b0a97
--- /dev/null
+++ b/data/hfopenllm_v2/dnhkng/RYS-XLarge-base/cbea8d66-0370-4998-8e3a-06fef0a60f0c.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/dnhkng_RYS-XLarge-base/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "RYS-XLarge-base",
+    "id": "dnhkng/RYS-XLarge-base",
+    "developer": "dnhkng",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 77.972
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.791
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7047
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3792
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3792
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4903
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5431
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/dnhkng/RYS-XLarge/a2a90b7e-f6db-408a-b5df-284d0b4a6353.json b/data/hfopenllm_v2/dnhkng/RYS-XLarge/a2a90b7e-f6db-408a-b5df-284d0b4a6353.json
deleted file mode 100644
index f4f44d473..000000000
--- a/data/hfopenllm_v2/dnhkng/RYS-XLarge/a2a90b7e-f6db-408a-b5df-284d0b4a6353.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/dnhkng_RYS-XLarge/1762652580.1338398",
-  "retrieved_timestamp": "1762652580.1338408",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "dnhkng/RYS-XLarge",
-    "developer": "dnhkng",
-    "inference_platform": "unknown",
-    "id": "dnhkng/RYS-XLarge",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 77.965
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7995662619627034
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7050033079850099
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.425226586102719
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.38422818791946306
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.49696875
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5428025265957447
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/dnhkng/RYS-XLarge/ca48b670-b82e-46cc-beb9-2fd0f11d3585.json b/data/hfopenllm_v2/dnhkng/RYS-XLarge/ca48b670-b82e-46cc-beb9-2fd0f11d3585.json
new file mode 100644
index 000000000..8542415fb
--- /dev/null
+++ b/data/hfopenllm_v2/dnhkng/RYS-XLarge/ca48b670-b82e-46cc-beb9-2fd0f11d3585.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/dnhkng_RYS-XLarge/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "RYS-XLarge",
+    "id": "dnhkng/RYS-XLarge",
+    "developer": "dnhkng",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 77.965
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7996
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.705
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4252
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3842
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.497
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5428
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/dnhkng/RYS-XLarge2/6f344c50-fdf3-477e-9a76-558ed61fd509.json b/data/hfopenllm_v2/dnhkng/RYS-XLarge2/6f344c50-fdf3-477e-9a76-558ed61fd509.json
deleted file mode 100644
index 9d8d85d68..000000000
--- a/data/hfopenllm_v2/dnhkng/RYS-XLarge2/6f344c50-fdf3-477e-9a76-558ed61fd509.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/dnhkng_RYS-XLarge2/1762652580.1343",
-  "retrieved_timestamp": "1762652580.134301",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "dnhkng/RYS-XLarge2",
-    "developer": "dnhkng",
-    "inference_platform": "unknown",
-    "id": "dnhkng/RYS-XLarge2",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 77.965
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.49019712141562166
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6573947106260754
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.27492447129909364
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37416107382550334
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4508020833333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5378158244680851
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/dnhkng/RYS-XLarge2/d37f99f7-f9c3-48b6-84d3-7da5d77f5030.json b/data/hfopenllm_v2/dnhkng/RYS-XLarge2/d37f99f7-f9c3-48b6-84d3-7da5d77f5030.json
new file mode 100644
index 000000000..c6ee9080f
--- /dev/null
+++ b/data/hfopenllm_v2/dnhkng/RYS-XLarge2/d37f99f7-f9c3-48b6-84d3-7da5d77f5030.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/dnhkng_RYS-XLarge2/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "RYS-XLarge2",
+    "id": "dnhkng/RYS-XLarge2",
+    "developer": "dnhkng",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 77.965
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4902
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6574
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2749
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3742
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4508
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5378
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/dreamgen/WizardLM-2-7B/503c8a24-4ced-4dca-b9df-5733ce89c2ca.json b/data/hfopenllm_v2/dreamgen/WizardLM-2-7B/503c8a24-4ced-4dca-b9df-5733ce89c2ca.json
new file mode 100644
index 000000000..ea7995a74
--- /dev/null
+++ b/data/hfopenllm_v2/dreamgen/WizardLM-2-7B/503c8a24-4ced-4dca-b9df-5733ce89c2ca.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/dreamgen_WizardLM-2-7B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "WizardLM-2-7B",
+    "id": "dreamgen/WizardLM-2-7B",
+    "developer": "dreamgen",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4583
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3487
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0332
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2869
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3941
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.266
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/dreamgen/WizardLM-2-7B/5ed2650d-d76f-49d6-915b-ac551129913e.json b/data/hfopenllm_v2/dreamgen/WizardLM-2-7B/5ed2650d-d76f-49d6-915b-ac551129913e.json
deleted file mode 100644
index 0fef12d96..000000000
--- a/data/hfopenllm_v2/dreamgen/WizardLM-2-7B/5ed2650d-d76f-49d6-915b-ac551129913e.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/dreamgen_WizardLM-2-7B/1762652580.1345458",
-  "retrieved_timestamp": "1762652580.134547",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "dreamgen/WizardLM-2-7B",
-    "developer": "dreamgen",
-    "inference_platform": "unknown",
-    "id": "dreamgen/WizardLM-2-7B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.45829842595424586
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.34867856163972016
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.03323262839879154
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.28691275167785235
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.39409374999999996
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2660405585106383
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/dustinwloring1988/Reflexis-8b-chat-v1/5c5283a0-819f-4112-bb90-5277423d9c00.json b/data/hfopenllm_v2/dustinwloring1988/Reflexis-8b-chat-v1/5c5283a0-819f-4112-bb90-5277423d9c00.json
new file mode 100644
index 000000000..c68eb92a9
--- /dev/null
+++ b/data/hfopenllm_v2/dustinwloring1988/Reflexis-8b-chat-v1/5c5283a0-819f-4112-bb90-5277423d9c00.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/dustinwloring1988_Reflexis-8b-chat-v1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Reflexis-8b-chat-v1",
+    "id": "dustinwloring1988/Reflexis-8b-chat-v1",
+    "developer": "dustinwloring1988",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3658
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4664
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1156
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2542
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3754
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3384
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/dustinwloring1988/Reflexis-8b-chat-v1/c402fb6f-6e91-4e33-b847-87371373a6eb.json b/data/hfopenllm_v2/dustinwloring1988/Reflexis-8b-chat-v1/c402fb6f-6e91-4e33-b847-87371373a6eb.json
deleted file mode 100644
index 22c471656..000000000
--- a/data/hfopenllm_v2/dustinwloring1988/Reflexis-8b-chat-v1/c402fb6f-6e91-4e33-b847-87371373a6eb.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/dustinwloring1988_Reflexis-8b-chat-v1/1762652580.134872",
-  "retrieved_timestamp": "1762652580.134874",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "dustinwloring1988/Reflexis-8b-chat-v1",
-    "developer": "dustinwloring1988",
-    "inference_platform": "unknown",
-    "id": "dustinwloring1988/Reflexis-8b-chat-v1",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3657750324694034
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4663596290293861
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11555891238670694
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.25419463087248323
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3753958333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3384308510638298
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/dustinwloring1988/Reflexis-8b-chat-v2/6475a1f1-0c12-4ab3-89fc-cc5aa1d8145e.json b/data/hfopenllm_v2/dustinwloring1988/Reflexis-8b-chat-v2/6475a1f1-0c12-4ab3-89fc-cc5aa1d8145e.json
deleted file mode 100644
index 6f6f7293d..000000000
--- a/data/hfopenllm_v2/dustinwloring1988/Reflexis-8b-chat-v2/6475a1f1-0c12-4ab3-89fc-cc5aa1d8145e.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/dustinwloring1988_Reflexis-8b-chat-v2/1762652580.135156",
-  "retrieved_timestamp": "1762652580.135157",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "dustinwloring1988/Reflexis-8b-chat-v2",
-    "developer": "dustinwloring1988",
-    "inference_platform": "unknown",
-    "id": "dustinwloring1988/Reflexis-8b-chat-v2",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3912042270065648
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.47238018945807153
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1163141993957704
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2701342281879195
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3526354166666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3377659574468085
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/dustinwloring1988/Reflexis-8b-chat-v2/b636bc82-1625-49b1-beec-cadaf4e1b1a9.json b/data/hfopenllm_v2/dustinwloring1988/Reflexis-8b-chat-v2/b636bc82-1625-49b1-beec-cadaf4e1b1a9.json
new file mode 100644
index 000000000..9bbf76e4e
--- /dev/null
+++ b/data/hfopenllm_v2/dustinwloring1988/Reflexis-8b-chat-v2/b636bc82-1625-49b1-beec-cadaf4e1b1a9.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/dustinwloring1988_Reflexis-8b-chat-v2/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Reflexis-8b-chat-v2",
+    "id": "dustinwloring1988/Reflexis-8b-chat-v2",
+    "developer": "dustinwloring1988",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3912
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4724
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1163
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2701
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3526
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3378
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/dustinwloring1988/Reflexis-8b-chat-v3/00f481c1-0ef0-40bd-bd95-81dc9443a62c.json b/data/hfopenllm_v2/dustinwloring1988/Reflexis-8b-chat-v3/00f481c1-0ef0-40bd-bd95-81dc9443a62c.json
new file mode 100644
index 000000000..4ff73b25c
--- /dev/null
+++ b/data/hfopenllm_v2/dustinwloring1988/Reflexis-8b-chat-v3/00f481c1-0ef0-40bd-bd95-81dc9443a62c.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/dustinwloring1988_Reflexis-8b-chat-v3/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Reflexis-8b-chat-v3",
+    "id": "dustinwloring1988/Reflexis-8b-chat-v3",
+    "developer": "dustinwloring1988",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5367
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4658
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1224
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2424
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3512
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3548
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/dustinwloring1988/Reflexis-8b-chat-v3/5767ea0d-318c-4c65-9c96-890d27973302.json b/data/hfopenllm_v2/dustinwloring1988/Reflexis-8b-chat-v3/5767ea0d-318c-4c65-9c96-890d27973302.json
deleted file mode 100644
index e793c88c9..000000000
--- a/data/hfopenllm_v2/dustinwloring1988/Reflexis-8b-chat-v3/5767ea0d-318c-4c65-9c96-890d27973302.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/dustinwloring1988_Reflexis-8b-chat-v3/1762652580.1353788",
-  "retrieved_timestamp": "1762652580.1353788",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "dustinwloring1988/Reflexis-8b-chat-v3",
-    "developer": "dustinwloring1988",
-    "inference_platform": "unknown",
-    "id": "dustinwloring1988/Reflexis-8b-chat-v3",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.536733644507684
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4658310598309874
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.12235649546827794
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
-        "score": 0.2424496644295302
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.35117708333333336
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-      }
-    }
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-}
diff --git a/data/hfopenllm_v2/dustinwloring1988/Reflexis-8b-chat-v4/7ea22fef-2d79-49ae-bf72-9153a4e239c5.json b/data/hfopenllm_v2/dustinwloring1988/Reflexis-8b-chat-v4/7ea22fef-2d79-49ae-bf72-9153a4e239c5.json
new file mode 100644
index 000000000..6e5776566
--- /dev/null
+++ b/data/hfopenllm_v2/dustinwloring1988/Reflexis-8b-chat-v4/7ea22fef-2d79-49ae-bf72-9153a4e239c5.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/dustinwloring1988_Reflexis-8b-chat-v4/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Reflexis-8b-chat-v4",
+    "id": "dustinwloring1988/Reflexis-8b-chat-v4",
+    "developer": "dustinwloring1988",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4698
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4686
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1027
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2341
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3393
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.339
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/dustinwloring1988/Reflexis-8b-chat-v4/ad9e0902-3542-4994-ae42-4f3ef9f88ab1.json b/data/hfopenllm_v2/dustinwloring1988/Reflexis-8b-chat-v4/ad9e0902-3542-4994-ae42-4f3ef9f88ab1.json
deleted file mode 100644
index 27ce8d90a..000000000
--- a/data/hfopenllm_v2/dustinwloring1988/Reflexis-8b-chat-v4/ad9e0902-3542-4994-ae42-4f3ef9f88ab1.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/dustinwloring1988_Reflexis-8b-chat-v4/1762652580.135605",
-  "retrieved_timestamp": "1762652580.135605",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "dustinwloring1988/Reflexis-8b-chat-v4",
-    "developer": "dustinwloring1988",
-    "inference_platform": "unknown",
-    "id": "dustinwloring1988/Reflexis-8b-chat-v4",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4697890486132351
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.46860140660011185
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1027190332326284
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.23406040268456377
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.33930208333333334
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3390126329787234
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/dustinwloring1988/Reflexis-8b-chat-v5/01c33f76-994a-4a1c-951d-88b34e471498.json b/data/hfopenllm_v2/dustinwloring1988/Reflexis-8b-chat-v5/01c33f76-994a-4a1c-951d-88b34e471498.json
deleted file mode 100644
index 15514b7a9..000000000
--- a/data/hfopenllm_v2/dustinwloring1988/Reflexis-8b-chat-v5/01c33f76-994a-4a1c-951d-88b34e471498.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/dustinwloring1988_Reflexis-8b-chat-v5/1762652580.135817",
-  "retrieved_timestamp": "1762652580.135818",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "dustinwloring1988/Reflexis-8b-chat-v5",
-    "developer": "dustinwloring1988",
-    "inference_platform": "unknown",
-    "id": "dustinwloring1988/Reflexis-8b-chat-v5",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42375231053604434
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4781685533183147
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1216012084592145
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2709731543624161
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.33536458333333335
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3217253989361702
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/dustinwloring1988/Reflexis-8b-chat-v5/64f441df-1781-4d01-b73b-2156413ad403.json b/data/hfopenllm_v2/dustinwloring1988/Reflexis-8b-chat-v5/64f441df-1781-4d01-b73b-2156413ad403.json
new file mode 100644
index 000000000..6d8fa5edd
--- /dev/null
+++ b/data/hfopenllm_v2/dustinwloring1988/Reflexis-8b-chat-v5/64f441df-1781-4d01-b73b-2156413ad403.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/dustinwloring1988_Reflexis-8b-chat-v5/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Reflexis-8b-chat-v5",
+    "id": "dustinwloring1988/Reflexis-8b-chat-v5",
+    "developer": "dustinwloring1988",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4238
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4782
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1216
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.271
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3354
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3217
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/dustinwloring1988/Reflexis-8b-chat-v6/4e3676eb-8607-416e-986a-7098bc192820.json b/data/hfopenllm_v2/dustinwloring1988/Reflexis-8b-chat-v6/4e3676eb-8607-416e-986a-7098bc192820.json
new file mode 100644
index 000000000..be5afc0ca
--- /dev/null
+++ b/data/hfopenllm_v2/dustinwloring1988/Reflexis-8b-chat-v6/4e3676eb-8607-416e-986a-7098bc192820.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/dustinwloring1988_Reflexis-8b-chat-v6/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Reflexis-8b-chat-v6",
+    "id": "dustinwloring1988/Reflexis-8b-chat-v6",
+    "developer": "dustinwloring1988",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4939
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.481
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1299
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2626
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3753
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3479
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/dustinwloring1988/Reflexis-8b-chat-v6/65ce9e6f-cab9-4ccc-af89-de9be928529e.json b/data/hfopenllm_v2/dustinwloring1988/Reflexis-8b-chat-v6/65ce9e6f-cab9-4ccc-af89-de9be928529e.json
deleted file mode 100644
index 4ff64fbab..000000000
--- a/data/hfopenllm_v2/dustinwloring1988/Reflexis-8b-chat-v6/65ce9e6f-cab9-4ccc-af89-de9be928529e.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/dustinwloring1988_Reflexis-8b-chat-v6/1762652580.136029",
-  "retrieved_timestamp": "1762652580.13603",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "dustinwloring1988/Reflexis-8b-chat-v6",
-    "developer": "dustinwloring1988",
-    "inference_platform": "unknown",
-    "id": "dustinwloring1988/Reflexis-8b-chat-v6",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4938939790866014
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4809537068664902
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1299093655589124
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2625838926174497
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3753333333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.347905585106383
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/dustinwloring1988/Reflexis-8b-chat-v7/2101369c-5042-48f3-a8f2-f9f56e7b6ae7.json b/data/hfopenllm_v2/dustinwloring1988/Reflexis-8b-chat-v7/2101369c-5042-48f3-a8f2-f9f56e7b6ae7.json
new file mode 100644
index 000000000..601437128
--- /dev/null
+++ b/data/hfopenllm_v2/dustinwloring1988/Reflexis-8b-chat-v7/2101369c-5042-48f3-a8f2-f9f56e7b6ae7.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/dustinwloring1988_Reflexis-8b-chat-v7/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Reflexis-8b-chat-v7",
+    "id": "dustinwloring1988/Reflexis-8b-chat-v7",
+    "developer": "dustinwloring1988",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.0
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.398
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.481
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1631
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2617
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3222
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3643
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/dustinwloring1988/Reflexis-8b-chat-v7/abadd81a-bd45-4eba-ae77-25190c751085.json b/data/hfopenllm_v2/dustinwloring1988/Reflexis-8b-chat-v7/abadd81a-bd45-4eba-ae77-25190c751085.json
deleted file mode 100644
index 4ff9cbb07..000000000
--- a/data/hfopenllm_v2/dustinwloring1988/Reflexis-8b-chat-v7/abadd81a-bd45-4eba-ae77-25190c751085.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/dustinwloring1988_Reflexis-8b-chat-v7/1762652580.1362429",
-  "retrieved_timestamp": "1762652580.136244",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "dustinwloring1988/Reflexis-8b-chat-v7",
-    "developer": "dustinwloring1988",
-    "inference_platform": "unknown",
-    "id": "dustinwloring1988/Reflexis-8b-chat-v7",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.0
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.39804828964924177
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4809830787114964
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.16314199395770393
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.26174496644295303
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.32215625
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3642785904255319
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/duyhv1411/Llama-3.2-1B-en-vi/c4b86264-3725-4742-91f0-3e01f8d965a4.json b/data/hfopenllm_v2/duyhv1411/Llama-3.2-1B-en-vi/c4b86264-3725-4742-91f0-3e01f8d965a4.json
new file mode 100644
index 000000000..f91722bb5
--- /dev/null
+++ b/data/hfopenllm_v2/duyhv1411/Llama-3.2-1B-en-vi/c4b86264-3725-4742-91f0-3e01f8d965a4.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/duyhv1411_Llama-3.2-1B-en-vi/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-3.2-1B-en-vi",
+    "id": "duyhv1411/Llama-3.2-1B-en-vi",
+    "developer": "duyhv1411",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 1.236
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4788
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3291
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0287
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2768
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3197
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1341
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/duyhv1411/Llama-3.2-3B-en-vi/0308147c-dabb-46bb-8add-d332fcd5a800.json b/data/hfopenllm_v2/duyhv1411/Llama-3.2-3B-en-vi/0308147c-dabb-46bb-8add-d332fcd5a800.json
new file mode 100644
index 000000000..7c38df979
--- /dev/null
+++ b/data/hfopenllm_v2/duyhv1411/Llama-3.2-3B-en-vi/0308147c-dabb-46bb-8add-d332fcd5a800.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/duyhv1411_Llama-3.2-3B-en-vi/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-3.2-3B-en-vi",
+    "id": "duyhv1411/Llama-3.2-3B-en-vi",
+    "developer": "duyhv1411",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 1.236
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4852
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3272
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0227
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2752
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.321
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1359
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/dwikitheduck/gemma-2-2b-id-inst/a9977a0d-e199-488a-a26e-6269806fdb2b.json b/data/hfopenllm_v2/dwikitheduck/gemma-2-2b-id-inst/a9977a0d-e199-488a-a26e-6269806fdb2b.json
new file mode 100644
index 000000000..ebf7ac8d4
--- /dev/null
+++ b/data/hfopenllm_v2/dwikitheduck/gemma-2-2b-id-inst/a9977a0d-e199-488a-a26e-6269806fdb2b.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/dwikitheduck_gemma-2-2b-id-inst/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "gemma-2-2b-id-inst",
+    "id": "dwikitheduck/gemma-2-2b-id-inst",
+    "developer": "dwikitheduck",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Gemma2ForCausalLM",
+      "params_billions": 2.0
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3879
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3962
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0453
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2995
+      }
+    },
+    {
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+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4154
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2173
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/dwikitheduck/gemma-2-2b-id-instruct/56b89ec8-90c5-4e1e-a458-1bb8b5b92be8.json b/data/hfopenllm_v2/dwikitheduck/gemma-2-2b-id-instruct/56b89ec8-90c5-4e1e-a458-1bb8b5b92be8.json
new file mode 100644
index 000000000..83e3a462d
--- /dev/null
+++ b/data/hfopenllm_v2/dwikitheduck/gemma-2-2b-id-instruct/56b89ec8-90c5-4e1e-a458-1bb8b5b92be8.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/dwikitheduck_gemma-2-2b-id-instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "gemma-2-2b-id-instruct",
+    "id": "dwikitheduck/gemma-2-2b-id-instruct",
+    "developer": "dwikitheduck",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Gemma2ForCausalLM",
+      "params_billions": 2.0
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3879
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3962
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0453
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2995
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4154
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2173
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/dwikitheduck/gemma-2-2b-id-instruct/73418e8c-ce10-4ea4-97f6-6f87c2be05a2.json b/data/hfopenllm_v2/dwikitheduck/gemma-2-2b-id-instruct/73418e8c-ce10-4ea4-97f6-6f87c2be05a2.json
deleted file mode 100644
index 625fd53c9..000000000
--- a/data/hfopenllm_v2/dwikitheduck/gemma-2-2b-id-instruct/73418e8c-ce10-4ea4-97f6-6f87c2be05a2.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/dwikitheduck_gemma-2-2b-id-instruct/1762652580.137409",
-  "retrieved_timestamp": "1762652580.1374102",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "dwikitheduck/gemma-2-2b-id-instruct",
-    "developer": "dwikitheduck",
-    "inference_platform": "unknown",
-    "id": "dwikitheduck/gemma-2-2b-id-instruct",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Gemma2ForCausalLM",
-      "params_billions": 2.0
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
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-        "max_score": 1
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-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
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-        "lower_is_better": false,
-        "score_type": "continuous",
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-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.29949664429530204
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-    },
-    {
-      "evaluation_name": "MUSR",
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-        "lower_is_better": false,
-        "score_type": "continuous",
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-        "max_score": 1
-      },
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/dwikitheduck/gemma-2-2b-id/4185c376-91c6-435d-ae3b-47cd85151049.json b/data/hfopenllm_v2/dwikitheduck/gemma-2-2b-id/4185c376-91c6-435d-ae3b-47cd85151049.json
new file mode 100644
index 000000000..f7fe9743d
--- /dev/null
+++ b/data/hfopenllm_v2/dwikitheduck/gemma-2-2b-id/4185c376-91c6-435d-ae3b-47cd85151049.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/dwikitheduck_gemma-2-2b-id/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "gemma-2-2b-id",
+    "id": "dwikitheduck/gemma-2-2b-id",
+    "developer": "dwikitheduck",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Gemma2ForCausalLM",
+      "params_billions": 2.0
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3879
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3962
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0453
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2995
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4154
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2173
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/dwikitheduck/gen-inst-1/26e45f5d-1e3d-425f-ba4d-b444dcda7f74.json b/data/hfopenllm_v2/dwikitheduck/gen-inst-1/26e45f5d-1e3d-425f-ba4d-b444dcda7f74.json
new file mode 100644
index 000000000..0250810c2
--- /dev/null
+++ b/data/hfopenllm_v2/dwikitheduck/gen-inst-1/26e45f5d-1e3d-425f-ba4d-b444dcda7f74.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/dwikitheduck_gen-inst-1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "gen-inst-1",
+    "id": "dwikitheduck/gen-inst-1",
+    "developer": "dwikitheduck",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.77
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.775
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.642
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4554
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3716
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4205
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5089
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/dwikitheduck/gen-inst-1/5117b75d-3060-4434-a40d-01c471563685.json b/data/hfopenllm_v2/dwikitheduck/gen-inst-1/5117b75d-3060-4434-a40d-01c471563685.json
deleted file mode 100644
index 890786109..000000000
--- a/data/hfopenllm_v2/dwikitheduck/gen-inst-1/5117b75d-3060-4434-a40d-01c471563685.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/dwikitheduck_gen-inst-1/1762652580.1376698",
-  "retrieved_timestamp": "1762652580.137671",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "dwikitheduck/gen-inst-1",
-    "developer": "dwikitheduck",
-    "inference_platform": "unknown",
-    "id": "dwikitheduck/gen-inst-1",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 14.77
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7750114141588762
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6419926671215591
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4554380664652568
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3716442953020134
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42054166666666665
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5088929521276596
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/dwikitheduck/gen-try1-notemp/09be48ce-61f8-4ba9-b082-b9c475fa714d.json b/data/hfopenllm_v2/dwikitheduck/gen-try1-notemp/09be48ce-61f8-4ba9-b082-b9c475fa714d.json
new file mode 100644
index 000000000..ce2a46bd9
--- /dev/null
+++ b/data/hfopenllm_v2/dwikitheduck/gen-try1-notemp/09be48ce-61f8-4ba9-b082-b9c475fa714d.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/dwikitheduck_gen-try1-notemp/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "gen-try1-notemp",
+    "id": "dwikitheduck/gen-try1-notemp",
+    "developer": "dwikitheduck",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.77
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2627
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6263
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.318
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.354
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4714
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.521
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/dwikitheduck/gen-try1-notemp/5bd29754-7f93-42fb-ba9b-7b3a4315bd17.json b/data/hfopenllm_v2/dwikitheduck/gen-try1-notemp/5bd29754-7f93-42fb-ba9b-7b3a4315bd17.json
deleted file mode 100644
index 2c52bd9b2..000000000
--- a/data/hfopenllm_v2/dwikitheduck/gen-try1-notemp/5bd29754-7f93-42fb-ba9b-7b3a4315bd17.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/dwikitheduck_gen-try1-notemp/1762652580.13809",
-  "retrieved_timestamp": "1762652580.138091",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "dwikitheduck/gen-try1-notemp",
-    "developer": "dwikitheduck",
-    "inference_platform": "unknown",
-    "id": "dwikitheduck/gen-try1-notemp",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 14.77
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.26270961050013963
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.626267088306491
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.31797583081570996
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3540268456375839
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.47141666666666665
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5210272606382979
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/dwikitheduck/gen-try1/27417bcb-fb2f-41d2-9dfa-9865a36f38d5.json b/data/hfopenllm_v2/dwikitheduck/gen-try1/27417bcb-fb2f-41d2-9dfa-9865a36f38d5.json
new file mode 100644
index 000000000..e7929b7e4
--- /dev/null
+++ b/data/hfopenllm_v2/dwikitheduck/gen-try1/27417bcb-fb2f-41d2-9dfa-9865a36f38d5.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/dwikitheduck_gen-try1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "gen-try1",
+    "id": "dwikitheduck/gen-try1",
+    "developer": "dwikitheduck",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.77
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7522
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6359
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4101
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3414
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4416
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5111
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/dwikitheduck/gen-try1/8f00112d-767f-4ac5-ae1c-e37781cf7eec.json b/data/hfopenllm_v2/dwikitheduck/gen-try1/8f00112d-767f-4ac5-ae1c-e37781cf7eec.json
deleted file mode 100644
index 8095c8b87..000000000
--- a/data/hfopenllm_v2/dwikitheduck/gen-try1/8f00112d-767f-4ac5-ae1c-e37781cf7eec.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/dwikitheduck_gen-try1/1762652580.137886",
-  "retrieved_timestamp": "1762652580.137887",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "dwikitheduck/gen-try1",
-    "developer": "dwikitheduck",
-    "inference_platform": "unknown",
-    "id": "dwikitheduck/gen-try1",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 14.77
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7522052598217175
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6358510933470735
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41012084592145015
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3414429530201342
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4415625
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5110538563829787
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/dzakwan/dzakwan-MoE-4x7b-Beta/7b6fc3c2-a67d-450e-858c-fa87be122376.json b/data/hfopenllm_v2/dzakwan/dzakwan-MoE-4x7b-Beta/7b6fc3c2-a67d-450e-858c-fa87be122376.json
new file mode 100644
index 000000000..1562aefaf
--- /dev/null
+++ b/data/hfopenllm_v2/dzakwan/dzakwan-MoE-4x7b-Beta/7b6fc3c2-a67d-450e-858c-fa87be122376.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/dzakwan_dzakwan-MoE-4x7b-Beta/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "dzakwan-MoE-4x7b-Beta",
+    "id": "dzakwan/dzakwan-MoE-4x7b-Beta",
+    "developer": "dzakwan",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "MixtralForCausalLM",
+      "params_billions": 24.154
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4443
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.514
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0778
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2861
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4267
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3108
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/dzakwan/dzakwan-MoE-4x7b-Beta/f4ceacae-0b81-44ac-8b9d-31d81e145bab.json b/data/hfopenllm_v2/dzakwan/dzakwan-MoE-4x7b-Beta/f4ceacae-0b81-44ac-8b9d-31d81e145bab.json
deleted file mode 100644
index c63d60171..000000000
--- a/data/hfopenllm_v2/dzakwan/dzakwan-MoE-4x7b-Beta/f4ceacae-0b81-44ac-8b9d-31d81e145bab.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/dzakwan_dzakwan-MoE-4x7b-Beta/1762652580.138297",
-  "retrieved_timestamp": "1762652580.138298",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "dzakwan/dzakwan-MoE-4x7b-Beta",
-    "developer": "dzakwan",
-    "inference_platform": "unknown",
-    "id": "dzakwan/dzakwan-MoE-4x7b-Beta",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "MixtralForCausalLM",
-      "params_billions": 24.154
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.44426011870725235
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.514044131159397
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.07779456193353475
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2860738255033557
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42673958333333334
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3107546542553192
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/ehristoforu/Falcon3-8B-Franken-Basestruct/1653400c-137e-4745-8676-eeaf39bbcc13.json b/data/hfopenllm_v2/ehristoforu/Falcon3-8B-Franken-Basestruct/1653400c-137e-4745-8676-eeaf39bbcc13.json
deleted file mode 100644
index 606c3c740..000000000
--- a/data/hfopenllm_v2/ehristoforu/Falcon3-8B-Franken-Basestruct/1653400c-137e-4745-8676-eeaf39bbcc13.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/ehristoforu_Falcon3-8B-Franken-Basestruct/1762652580.138562",
-  "retrieved_timestamp": "1762652580.1385632",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "ehristoforu/Falcon3-8B-Franken-Basestruct",
-    "developer": "ehristoforu",
-    "inference_platform": "unknown",
-    "id": "ehristoforu/Falcon3-8B-Franken-Basestruct",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.406
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.17148499315150467
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5462828074770284
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.0
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.34060402684563756
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3554895833333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3946974734042553
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/ehristoforu/Falcon3-8B-Franken-Basestruct/76b86418-5450-48c6-ae56-58a19016d055.json b/data/hfopenllm_v2/ehristoforu/Falcon3-8B-Franken-Basestruct/76b86418-5450-48c6-ae56-58a19016d055.json
new file mode 100644
index 000000000..8426beecc
--- /dev/null
+++ b/data/hfopenllm_v2/ehristoforu/Falcon3-8B-Franken-Basestruct/76b86418-5450-48c6-ae56-58a19016d055.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/ehristoforu_Falcon3-8B-Franken-Basestruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Falcon3-8B-Franken-Basestruct",
+    "id": "ehristoforu/Falcon3-8B-Franken-Basestruct",
+    "developer": "ehristoforu",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.406
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1715
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5463
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3406
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3555
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3947
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/ehristoforu/Falcon3-MoE-2x7B-Insruct/6b208d1e-96f1-4b72-8d31-6c6e43c42111.json b/data/hfopenllm_v2/ehristoforu/Falcon3-MoE-2x7B-Insruct/6b208d1e-96f1-4b72-8d31-6c6e43c42111.json
deleted file mode 100644
index 75e3c1f0e..000000000
--- a/data/hfopenllm_v2/ehristoforu/Falcon3-MoE-2x7B-Insruct/6b208d1e-96f1-4b72-8d31-6c6e43c42111.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/ehristoforu_Falcon3-MoE-2x7B-Insruct/1762652580.1388721",
-  "retrieved_timestamp": "1762652580.138873",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "ehristoforu/Falcon3-MoE-2x7B-Insruct",
-    "developer": "ehristoforu",
-    "inference_platform": "unknown",
-    "id": "ehristoforu/Falcon3-MoE-2x7B-Insruct",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MixtralForCausalLM",
-      "params_billions": 13.401
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7642954028643998
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.564789641564995
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4123867069486405
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.31208053691275167
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4840416666666667
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.40949135638297873
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/ehristoforu/Falcon3-MoE-2x7B-Insruct/e06594e4-899a-4285-b130-f7b605e5a6b9.json b/data/hfopenllm_v2/ehristoforu/Falcon3-MoE-2x7B-Insruct/e06594e4-899a-4285-b130-f7b605e5a6b9.json
new file mode 100644
index 000000000..02842cc41
--- /dev/null
+++ b/data/hfopenllm_v2/ehristoforu/Falcon3-MoE-2x7B-Insruct/e06594e4-899a-4285-b130-f7b605e5a6b9.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/ehristoforu_Falcon3-MoE-2x7B-Insruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Falcon3-MoE-2x7B-Insruct",
+    "id": "ehristoforu/Falcon3-MoE-2x7B-Insruct",
+    "developer": "ehristoforu",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MixtralForCausalLM",
+      "params_billions": 13.401
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7643
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/ehristoforu/Gemma2-9B-it-psy10k-mental_health/9efdc773-a5c7-4709-88c8-96a67d84a742.json b/data/hfopenllm_v2/ehristoforu/Gemma2-9B-it-psy10k-mental_health/9efdc773-a5c7-4709-88c8-96a67d84a742.json
new file mode 100644
index 000000000..4328adf7f
--- /dev/null
+++ b/data/hfopenllm_v2/ehristoforu/Gemma2-9B-it-psy10k-mental_health/9efdc773-a5c7-4709-88c8-96a67d84a742.json
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diff --git a/data/hfopenllm_v2/ehristoforu/Gemma2-9b-it-train6/1fcc2f96-afc9-403f-b82e-8e1804506582.json b/data/hfopenllm_v2/ehristoforu/Gemma2-9b-it-train6/1fcc2f96-afc9-403f-b82e-8e1804506582.json
new file mode 100644
index 000000000..b1b1e648f
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+++ b/data/hfopenllm_v2/ehristoforu/Gemma2-9b-it-train6/1fcc2f96-afc9-403f-b82e-8e1804506582.json
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/ehristoforu/HappyLlama1/bee1e134-9a43-441a-b977-522c510dd1ce.json b/data/hfopenllm_v2/ehristoforu/HappyLlama1/bee1e134-9a43-441a-b977-522c510dd1ce.json
new file mode 100644
index 000000000..ee8741019
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+++ b/data/hfopenllm_v2/ehristoforu/HappyLlama1/bee1e134-9a43-441a-b977-522c510dd1ce.json
@@ -0,0 +1,132 @@
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/ehristoforu/QwenQwen2.5-7B-IT-Dare/b70e1089-d136-4b2f-a253-f361bcf8cdcc.json b/data/hfopenllm_v2/ehristoforu/QwenQwen2.5-7B-IT-Dare/b70e1089-d136-4b2f-a253-f361bcf8cdcc.json
new file mode 100644
index 000000000..db80ae6ad
--- /dev/null
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/ehristoforu/QwenQwen2.5-7B-IT/8b7e9c34-a982-4f4d-b5dc-66a12578601f.json b/data/hfopenllm_v2/ehristoforu/QwenQwen2.5-7B-IT/8b7e9c34-a982-4f4d-b5dc-66a12578601f.json
new file mode 100644
index 000000000..a51f16a50
--- /dev/null
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@@ -0,0 +1,132 @@
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+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
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+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/ehristoforu/RQwen-v0.1/0ccc36d0-f546-46d1-91d3-15a40c7bf6c1.json b/data/hfopenllm_v2/ehristoforu/RQwen-v0.1/0ccc36d0-f546-46d1-91d3-15a40c7bf6c1.json
new file mode 100644
index 000000000..552e8c521
--- /dev/null
+++ b/data/hfopenllm_v2/ehristoforu/RQwen-v0.1/0ccc36d0-f546-46d1-91d3-15a40c7bf6c1.json
@@ -0,0 +1,132 @@
+{
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+    "source_type": "documentation",
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+    "developer": "ehristoforu",
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+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.77
+    }
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+  "evaluation_results": [
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+        "hf_repo": "SaylorTwift/bbh"
+      },
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+        "evaluation_description": "Accuracy on BBH",
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+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+    },
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+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
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+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
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+    {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+      }
+    }
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/ehristoforu/RQwen-v0.2/066abe97-2c6c-4f3b-9e5e-e144f130258a.json b/data/hfopenllm_v2/ehristoforu/RQwen-v0.2/066abe97-2c6c-4f3b-9e5e-e144f130258a.json
new file mode 100644
index 000000000..9ac5c419c
--- /dev/null
+++ b/data/hfopenllm_v2/ehristoforu/RQwen-v0.2/066abe97-2c6c-4f3b-9e5e-e144f130258a.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/ehristoforu_RQwen-v0.2/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "RQwen-v0.2",
+    "id": "ehristoforu/RQwen-v0.2",
+    "developer": "ehristoforu",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.77
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7504
+      }
+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6427
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+      }
+    },
+    {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/ehristoforu/SoRu-0009/a3af8f77-d915-4482-a2b6-c99744aada4b.json b/data/hfopenllm_v2/ehristoforu/SoRu-0009/a3af8f77-d915-4482-a2b6-c99744aada4b.json
new file mode 100644
index 000000000..1af53918b
--- /dev/null
+++ b/data/hfopenllm_v2/ehristoforu/SoRu-0009/a3af8f77-d915-4482-a2b6-c99744aada4b.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/ehristoforu_SoRu-0009/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "SoRu-0009",
+    "id": "ehristoforu/SoRu-0009",
+    "developer": "ehristoforu",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 0.494
+    }
+  },
+  "evaluation_results": [
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.315
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+    },
+    {
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/ehristoforu/SoRu-0009/d45e7b32-f09d-4185-ac78-d0eb7a4d3823.json b/data/hfopenllm_v2/ehristoforu/SoRu-0009/d45e7b32-f09d-4185-ac78-d0eb7a4d3823.json
deleted file mode 100644
index 2312307c8..000000000
--- a/data/hfopenllm_v2/ehristoforu/SoRu-0009/d45e7b32-f09d-4185-ac78-d0eb7a4d3823.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/ehristoforu_SoRu-0009/1762652580.1407459",
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-  "source_data": [
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-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "ehristoforu/SoRu-0009",
-    "developer": "ehristoforu",
-    "inference_platform": "unknown",
-    "id": "ehristoforu/SoRu-0009",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 0.494
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.25818827378023645
-      }
-    },
-    {
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-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.021148036253776436
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2609060402684564
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3369479166666667
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.12391954787234043
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/ehristoforu/coolqwen-3b-it/82cc8b37-e242-441e-ac74-1662bcc0a0e2.json b/data/hfopenllm_v2/ehristoforu/coolqwen-3b-it/82cc8b37-e242-441e-ac74-1662bcc0a0e2.json
new file mode 100644
index 000000000..fcf5a776a
--- /dev/null
+++ b/data/hfopenllm_v2/ehristoforu/coolqwen-3b-it/82cc8b37-e242-441e-ac74-1662bcc0a0e2.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/ehristoforu_coolqwen-3b-it/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "coolqwen-3b-it",
+    "id": "ehristoforu/coolqwen-3b-it",
+    "developer": "ehristoforu",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 3.085
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6473
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4851
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3671
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2827
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4125
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3601
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/ehristoforu/della-70b-test-v1/1527c8bc-c1ec-45f4-9663-4cffbb808f94.json b/data/hfopenllm_v2/ehristoforu/della-70b-test-v1/1527c8bc-c1ec-45f4-9663-4cffbb808f94.json
new file mode 100644
index 000000000..367d47be6
--- /dev/null
+++ b/data/hfopenllm_v2/ehristoforu/della-70b-test-v1/1527c8bc-c1ec-45f4-9663-4cffbb808f94.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/ehristoforu_della-70b-test-v1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "della-70b-test-v1",
+    "id": "ehristoforu/della-70b-test-v1",
+    "developer": "ehristoforu",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 70.554
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4979
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3029
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0098
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2525
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4555
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1575
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/ehristoforu/della-70b-test-v1/d9f6c1e9-84be-4666-b64f-5da37cf98202.json b/data/hfopenllm_v2/ehristoforu/della-70b-test-v1/d9f6c1e9-84be-4666-b64f-5da37cf98202.json
deleted file mode 100644
index 2f7405385..000000000
--- a/data/hfopenllm_v2/ehristoforu/della-70b-test-v1/d9f6c1e9-84be-4666-b64f-5da37cf98202.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/ehristoforu_della-70b-test-v1/1762652580.141174",
-  "retrieved_timestamp": "1762652580.141175",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "ehristoforu/della-70b-test-v1",
-    "developer": "ehristoforu",
-    "inference_platform": "unknown",
-    "id": "ehristoforu/della-70b-test-v1",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 70.554
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.49786566310722213
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3029452113782393
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.009818731117824773
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2525167785234899
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.45545833333333335
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1574966755319149
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/ehristoforu/falcon3-ultraset/337b8ce8-d697-47f6-94ac-7a420dd7d91b.json b/data/hfopenllm_v2/ehristoforu/falcon3-ultraset/337b8ce8-d697-47f6-94ac-7a420dd7d91b.json
new file mode 100644
index 000000000..e2151cd4e
--- /dev/null
+++ b/data/hfopenllm_v2/ehristoforu/falcon3-ultraset/337b8ce8-d697-47f6-94ac-7a420dd7d91b.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/ehristoforu_falcon3-ultraset/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "falcon3-ultraset",
+    "id": "ehristoforu/falcon3-ultraset",
+    "developer": "ehristoforu",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 7.456
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7135
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5584
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2122
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3322
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4853
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3982
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/ehristoforu/falcon3-ultraset/e2291d7c-7627-484e-a0c1-1857c642be2b.json b/data/hfopenllm_v2/ehristoforu/falcon3-ultraset/e2291d7c-7627-484e-a0c1-1857c642be2b.json
deleted file mode 100644
index 39d207875..000000000
--- a/data/hfopenllm_v2/ehristoforu/falcon3-ultraset/e2291d7c-7627-484e-a0c1-1857c642be2b.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/ehristoforu_falcon3-ultraset/1762652580.1413918",
-  "retrieved_timestamp": "1762652580.141393",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "ehristoforu/falcon3-ultraset",
-    "developer": "ehristoforu",
-    "inference_platform": "unknown",
-    "id": "ehristoforu/falcon3-ultraset",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 7.456
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7135123694020753
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5583684420918801
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2122356495468278
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.33221476510067116
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.48531250000000004
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.398188164893617
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/ehristoforu/fd-lora-merged-16x32/3d6ed2bb-5be7-4838-abb7-49754f9c3bfe.json b/data/hfopenllm_v2/ehristoforu/fd-lora-merged-16x32/3d6ed2bb-5be7-4838-abb7-49754f9c3bfe.json
new file mode 100644
index 000000000..af627d759
--- /dev/null
+++ b/data/hfopenllm_v2/ehristoforu/fd-lora-merged-16x32/3d6ed2bb-5be7-4838-abb7-49754f9c3bfe.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/ehristoforu_fd-lora-merged-16x32/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "fd-lora-merged-16x32",
+    "id": "ehristoforu/fd-lora-merged-16x32",
+    "developer": "ehristoforu",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 1.776
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3481
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3308
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1707
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2534
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3514
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1205
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/ehristoforu/fd-lora-merged-16x32/4d00474d-97e6-4384-82f7-956b2e7268e9.json b/data/hfopenllm_v2/ehristoforu/fd-lora-merged-16x32/4d00474d-97e6-4384-82f7-956b2e7268e9.json
deleted file mode 100644
index afccc1fd1..000000000
--- a/data/hfopenllm_v2/ehristoforu/fd-lora-merged-16x32/4d00474d-97e6-4384-82f7-956b2e7268e9.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/ehristoforu_fd-lora-merged-16x32/1762652580.141611",
-  "retrieved_timestamp": "1762652580.141612",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "ehristoforu/fd-lora-merged-16x32",
-    "developer": "ehristoforu",
-    "inference_platform": "unknown",
-    "id": "ehristoforu/fd-lora-merged-16x32",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 1.776
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3480897352358409
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3307564619842368
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.17069486404833836
-      }
-    },
-    {
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-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2533557046979866
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.35142708333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.12051196808510638
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/ehristoforu/fd-lora-merged-64x128/0a6c7056-1bce-479e-84b0-f4eeea0bd3cc.json b/data/hfopenllm_v2/ehristoforu/fd-lora-merged-64x128/0a6c7056-1bce-479e-84b0-f4eeea0bd3cc.json
new file mode 100644
index 000000000..185158297
--- /dev/null
+++ b/data/hfopenllm_v2/ehristoforu/fd-lora-merged-64x128/0a6c7056-1bce-479e-84b0-f4eeea0bd3cc.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/ehristoforu_fd-lora-merged-64x128/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "fd-lora-merged-64x128",
+    "id": "ehristoforu/fd-lora-merged-64x128",
+    "developer": "ehristoforu",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 1.777
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3281
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3345
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1873
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.255
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3368
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1537
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/ehristoforu/fd-lora-merged-64x128/6474672b-7728-4ab5-8fdf-749e996272a2.json b/data/hfopenllm_v2/ehristoforu/fd-lora-merged-64x128/6474672b-7728-4ab5-8fdf-749e996272a2.json
deleted file mode 100644
index 829850cd5..000000000
--- a/data/hfopenllm_v2/ehristoforu/fd-lora-merged-64x128/6474672b-7728-4ab5-8fdf-749e996272a2.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/ehristoforu_fd-lora-merged-64x128/1762652580.14183",
-  "retrieved_timestamp": "1762652580.141831",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "ehristoforu/fd-lora-merged-64x128",
-    "developer": "ehristoforu",
-    "inference_platform": "unknown",
-    "id": "ehristoforu/fd-lora-merged-64x128",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 1.777
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3281060918363276
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.33447107385638297
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.18731117824773413
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2550335570469799
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3368229166666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.15367353723404256
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/ehristoforu/fp4-14b-it-v1/31618256-7ca8-4a3c-bfbf-4397bf2cf339.json b/data/hfopenllm_v2/ehristoforu/fp4-14b-it-v1/31618256-7ca8-4a3c-bfbf-4397bf2cf339.json
deleted file mode 100644
index 0b09b0bd8..000000000
--- a/data/hfopenllm_v2/ehristoforu/fp4-14b-it-v1/31618256-7ca8-4a3c-bfbf-4397bf2cf339.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/ehristoforu_fp4-14b-it-v1/1762652580.1420429",
-  "retrieved_timestamp": "1762652580.1420438",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "ehristoforu/fp4-14b-it-v1",
-    "developer": "ehristoforu",
-    "inference_platform": "unknown",
-    "id": "ehristoforu/fp4-14b-it-v1",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 14.66
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.25346746632269046
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
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-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "GPQA",
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-        "max_score": 1
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-      "score_details": {
-        "score": 0.2953020134228188
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-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
-        "score": 0.35948958333333336
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-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-}
diff --git a/data/hfopenllm_v2/ehristoforu/fp4-14b-it-v1/3e236ad8-3828-407f-9076-743b465b8d15.json b/data/hfopenllm_v2/ehristoforu/fp4-14b-it-v1/3e236ad8-3828-407f-9076-743b465b8d15.json
new file mode 100644
index 000000000..cd4c75104
--- /dev/null
+++ b/data/hfopenllm_v2/ehristoforu/fp4-14b-it-v1/3e236ad8-3828-407f-9076-743b465b8d15.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/ehristoforu_fp4-14b-it-v1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "fp4-14b-it-v1",
+    "id": "ehristoforu/fp4-14b-it-v1",
+    "developer": "ehristoforu",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 14.66
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2535
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.574
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0408
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2953
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3595
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4205
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/ehristoforu/fp4-14b-v1-fix/37d01a2d-f8ca-46a3-a4b7-3fa725b4023b.json b/data/hfopenllm_v2/ehristoforu/fp4-14b-v1-fix/37d01a2d-f8ca-46a3-a4b7-3fa725b4023b.json
deleted file mode 100644
index 6bf4a05c1..000000000
--- a/data/hfopenllm_v2/ehristoforu/fp4-14b-v1-fix/37d01a2d-f8ca-46a3-a4b7-3fa725b4023b.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/ehristoforu_fp4-14b-v1-fix/1762652580.142252",
-  "retrieved_timestamp": "1762652580.1422532",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "ehristoforu/fp4-14b-v1-fix",
-    "developer": "ehristoforu",
-    "inference_platform": "unknown",
-    "id": "ehristoforu/fp4-14b-v1-fix",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 14.66
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6741700909143296
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6817274121032688
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4206948640483384
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3540268456375839
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4531875
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5353224734042553
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/ehristoforu/fp4-14b-v1-fix/9e90dcdf-ce2a-4a7c-8b89-6af8b7c2bcfe.json b/data/hfopenllm_v2/ehristoforu/fp4-14b-v1-fix/9e90dcdf-ce2a-4a7c-8b89-6af8b7c2bcfe.json
new file mode 100644
index 000000000..ba50dee2a
--- /dev/null
+++ b/data/hfopenllm_v2/ehristoforu/fp4-14b-v1-fix/9e90dcdf-ce2a-4a7c-8b89-6af8b7c2bcfe.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/ehristoforu_fp4-14b-v1-fix/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "fp4-14b-v1-fix",
+    "id": "ehristoforu/fp4-14b-v1-fix",
+    "developer": "ehristoforu",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 14.66
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6742
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6817
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4207
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.354
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4532
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5353
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/ehristoforu/fq2.5-7b-it-normalize_false/940d88e9-085b-4065-b8c8-92ebe685deb0.json b/data/hfopenllm_v2/ehristoforu/fq2.5-7b-it-normalize_false/940d88e9-085b-4065-b8c8-92ebe685deb0.json
new file mode 100644
index 000000000..06d2d501b
--- /dev/null
+++ b/data/hfopenllm_v2/ehristoforu/fq2.5-7b-it-normalize_false/940d88e9-085b-4065-b8c8-92ebe685deb0.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/ehristoforu_fq2.5-7b-it-normalize_false/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "fq2.5-7b-it-normalize_false",
+    "id": "ehristoforu/fq2.5-7b-it-normalize_false",
+    "developer": "ehristoforu",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7399
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.552
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4622
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.302
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4612
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4413
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/ehristoforu/fq2.5-7b-it-normalize_false/a5004f95-0854-40d2-8a71-004875544499.json b/data/hfopenllm_v2/ehristoforu/fq2.5-7b-it-normalize_false/a5004f95-0854-40d2-8a71-004875544499.json
deleted file mode 100644
index 8c3cbeab6..000000000
--- a/data/hfopenllm_v2/ehristoforu/fq2.5-7b-it-normalize_false/a5004f95-0854-40d2-8a71-004875544499.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/ehristoforu_fq2.5-7b-it-normalize_false/1762652580.142459",
-  "retrieved_timestamp": "1762652580.1424599",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "ehristoforu/fq2.5-7b-it-normalize_false",
-    "developer": "ehristoforu",
-    "inference_platform": "unknown",
-    "id": "ehristoforu/fq2.5-7b-it-normalize_false",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.616
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7399156460413925
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.551986272150289
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4622356495468278
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30201342281879195
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.46115625
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.44132313829787234
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/ehristoforu/fq2.5-7b-it-normalize_true/7fdcd616-2c72-4c44-9646-9c32344bfa0b.json b/data/hfopenllm_v2/ehristoforu/fq2.5-7b-it-normalize_true/7fdcd616-2c72-4c44-9646-9c32344bfa0b.json
new file mode 100644
index 000000000..0dfb08d8b
--- /dev/null
+++ b/data/hfopenllm_v2/ehristoforu/fq2.5-7b-it-normalize_true/7fdcd616-2c72-4c44-9646-9c32344bfa0b.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/ehristoforu_fq2.5-7b-it-normalize_true/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "fq2.5-7b-it-normalize_true",
+    "id": "ehristoforu/fq2.5-7b-it-normalize_true",
+    "developer": "ehristoforu",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7399
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.552
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4622
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.302
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4612
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4413
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/ehristoforu/fq2.5-7b-it-normalize_true/d0d8274c-7d05-4166-a510-487cb294135e.json b/data/hfopenllm_v2/ehristoforu/fq2.5-7b-it-normalize_true/d0d8274c-7d05-4166-a510-487cb294135e.json
deleted file mode 100644
index 2818c3f0d..000000000
--- a/data/hfopenllm_v2/ehristoforu/fq2.5-7b-it-normalize_true/d0d8274c-7d05-4166-a510-487cb294135e.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/ehristoforu_fq2.5-7b-it-normalize_true/1762652580.1426702",
-  "retrieved_timestamp": "1762652580.142671",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "ehristoforu/fq2.5-7b-it-normalize_true",
-    "developer": "ehristoforu",
-    "inference_platform": "unknown",
-    "id": "ehristoforu/fq2.5-7b-it-normalize_true",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.616
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7399156460413925
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.551986272150289
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4622356495468278
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30201342281879195
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.46115625
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.44132313829787234
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/ehristoforu/frqwen2.5-from7b-duable4layers-it/9d358f55-810c-4ac1-adc7-83f95bd74c11.json b/data/hfopenllm_v2/ehristoforu/frqwen2.5-from7b-duable4layers-it/9d358f55-810c-4ac1-adc7-83f95bd74c11.json
new file mode 100644
index 000000000..073ffd258
--- /dev/null
+++ b/data/hfopenllm_v2/ehristoforu/frqwen2.5-from7b-duable4layers-it/9d358f55-810c-4ac1-adc7-83f95bd74c11.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/ehristoforu_frqwen2.5-from7b-duable4layers-it/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "frqwen2.5-from7b-duable4layers-it",
+    "id": "ehristoforu/frqwen2.5-from7b-duable4layers-it",
+    "developer": "ehristoforu",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 8.545
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7729
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5264
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4509
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2953
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4166
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4126
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/ehristoforu/frqwen2.5-from7b-it/9ba3fe31-772a-4cf7-aa13-3680b6ad51ba.json b/data/hfopenllm_v2/ehristoforu/frqwen2.5-from7b-it/9ba3fe31-772a-4cf7-aa13-3680b6ad51ba.json
new file mode 100644
index 000000000..61c9293ae
--- /dev/null
+++ b/data/hfopenllm_v2/ehristoforu/frqwen2.5-from7b-it/9ba3fe31-772a-4cf7-aa13-3680b6ad51ba.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/ehristoforu_frqwen2.5-from7b-it/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "frqwen2.5-from7b-it",
+    "id": "ehristoforu/frqwen2.5-from7b-it",
+    "developer": "ehristoforu",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 13.206
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6532
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5143
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2923
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2903
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4086
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3977
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/ehristoforu/mllama-3.1-8b-instruct/40016b83-0730-4e67-b7e9-3b1d29d9d1be.json b/data/hfopenllm_v2/ehristoforu/mllama-3.1-8b-instruct/40016b83-0730-4e67-b7e9-3b1d29d9d1be.json
deleted file mode 100644
index f1367e5ac..000000000
--- a/data/hfopenllm_v2/ehristoforu/mllama-3.1-8b-instruct/40016b83-0730-4e67-b7e9-3b1d29d9d1be.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/ehristoforu_mllama-3.1-8b-instruct/1762652580.143588",
-  "retrieved_timestamp": "1762652580.143589",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "ehristoforu/mllama-3.1-8b-instruct",
-    "developer": "ehristoforu",
-    "inference_platform": "unknown",
-    "id": "ehristoforu/mllama-3.1-8b-instruct",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3457913890698901
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.47176616480333583
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3776435045317221
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2701342281879195
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.338
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2533244680851064
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/ehristoforu/mllama-3.1-8b-instruct/651a32b1-77fb-4acf-89bf-2d45b684944d.json b/data/hfopenllm_v2/ehristoforu/mllama-3.1-8b-instruct/651a32b1-77fb-4acf-89bf-2d45b684944d.json
new file mode 100644
index 000000000..364558711
--- /dev/null
+++ b/data/hfopenllm_v2/ehristoforu/mllama-3.1-8b-instruct/651a32b1-77fb-4acf-89bf-2d45b684944d.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/ehristoforu_mllama-3.1-8b-instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "mllama-3.1-8b-instruct",
+    "id": "ehristoforu/mllama-3.1-8b-instruct",
+    "developer": "ehristoforu",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3458
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4718
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3776
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2701
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.338
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2533
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/ehristoforu/mllama-3.1-8b-it/192c4037-753a-4790-80d0-33c4d277102d.json b/data/hfopenllm_v2/ehristoforu/mllama-3.1-8b-it/192c4037-753a-4790-80d0-33c4d277102d.json
new file mode 100644
index 000000000..601171444
--- /dev/null
+++ b/data/hfopenllm_v2/ehristoforu/mllama-3.1-8b-it/192c4037-753a-4790-80d0-33c4d277102d.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/ehristoforu_mllama-3.1-8b-it/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "mllama-3.1-8b-it",
+    "id": "ehristoforu/mllama-3.1-8b-it",
+    "developer": "ehristoforu",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3879
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4868
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3799
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2768
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3349
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2622
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/ehristoforu/moremerge-upscaled/5c465aeb-c6be-4a22-9cf0-3d9c2558ba39.json b/data/hfopenllm_v2/ehristoforu/moremerge-upscaled/5c465aeb-c6be-4a22-9cf0-3d9c2558ba39.json
deleted file mode 100644
index 86b7ca4e1..000000000
--- a/data/hfopenllm_v2/ehristoforu/moremerge-upscaled/5c465aeb-c6be-4a22-9cf0-3d9c2558ba39.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/ehristoforu_moremerge-upscaled/1762652580.144358",
-  "retrieved_timestamp": "1762652580.1443589",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "ehristoforu/moremerge-upscaled",
-    "developer": "ehristoforu",
-    "inference_platform": "unknown",
-    "id": "ehristoforu/moremerge-upscaled",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 8.545
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1978882697908217
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.26977370070980244
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.0
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.24664429530201343
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.35930208333333336
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.10413896276595745
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/ehristoforu/moremerge-upscaled/679d66bf-244e-4080-9a42-0a0c6cfdc965.json b/data/hfopenllm_v2/ehristoforu/moremerge-upscaled/679d66bf-244e-4080-9a42-0a0c6cfdc965.json
new file mode 100644
index 000000000..62db8ac19
--- /dev/null
+++ b/data/hfopenllm_v2/ehristoforu/moremerge-upscaled/679d66bf-244e-4080-9a42-0a0c6cfdc965.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/ehristoforu_moremerge-upscaled/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "moremerge-upscaled",
+    "id": "ehristoforu/moremerge-upscaled",
+    "developer": "ehristoforu",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 8.545
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1979
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2698
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2466
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3593
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1041
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/ehristoforu/moremerge/38cf2a56-ed33-4f7e-94aa-bf4f15a5a53c.json b/data/hfopenllm_v2/ehristoforu/moremerge/38cf2a56-ed33-4f7e-94aa-bf4f15a5a53c.json
deleted file mode 100644
index 72d2d5b31..000000000
--- a/data/hfopenllm_v2/ehristoforu/moremerge/38cf2a56-ed33-4f7e-94aa-bf4f15a5a53c.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/ehristoforu_moremerge/1762652580.1440692",
-  "retrieved_timestamp": "1762652580.14407",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "ehristoforu/moremerge",
-    "developer": "ehristoforu",
-    "inference_platform": "unknown",
-    "id": "ehristoforu/moremerge",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.613
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.20190982149585324
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.28684447696551024
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.0
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2600671140939597
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.35657291666666663
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.10654920212765957
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/ehristoforu/moremerge/73b0ca8a-fb16-43eb-a9af-a01219cf6196.json b/data/hfopenllm_v2/ehristoforu/moremerge/73b0ca8a-fb16-43eb-a9af-a01219cf6196.json
new file mode 100644
index 000000000..f1591edbb
--- /dev/null
+++ b/data/hfopenllm_v2/ehristoforu/moremerge/73b0ca8a-fb16-43eb-a9af-a01219cf6196.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/ehristoforu_moremerge/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "moremerge",
+    "id": "ehristoforu/moremerge",
+    "developer": "ehristoforu",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.613
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2019
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2868
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2601
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3566
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1065
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/ehristoforu/phi-4-25b/7f00ecbc-fcc8-43ae-867b-cb160e63a80c.json b/data/hfopenllm_v2/ehristoforu/phi-4-25b/7f00ecbc-fcc8-43ae-867b-cb160e63a80c.json
new file mode 100644
index 000000000..524b66617
--- /dev/null
+++ b/data/hfopenllm_v2/ehristoforu/phi-4-25b/7f00ecbc-fcc8-43ae-867b-cb160e63a80c.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/ehristoforu_phi-4-25b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "phi-4-25b",
+    "id": "ehristoforu/phi-4-25b",
+    "developer": "ehristoforu",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Phi3ForCausalLM",
+      "params_billions": 24.883
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6484
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6908
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4524
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3188
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4208
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5351
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/ehristoforu/qwen2.5-test-32b-it/a8238bd4-3982-4e45-92e4-bab77e528e29.json b/data/hfopenllm_v2/ehristoforu/qwen2.5-test-32b-it/a8238bd4-3982-4e45-92e4-bab77e528e29.json
new file mode 100644
index 000000000..e044dab4c
--- /dev/null
+++ b/data/hfopenllm_v2/ehristoforu/qwen2.5-test-32b-it/a8238bd4-3982-4e45-92e4-bab77e528e29.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/ehristoforu_qwen2.5-test-32b-it/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "qwen2.5-test-32b-it",
+    "id": "ehristoforu/qwen2.5-test-32b-it",
+    "developer": "ehristoforu",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 32.764
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7889
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7081
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5974
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3641
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4578
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5765
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/ehristoforu/qwen2.5-with-lora-think-3b-it/f87f9f08-e989-4e99-a254-a3650e7ab1b6.json b/data/hfopenllm_v2/ehristoforu/qwen2.5-with-lora-think-3b-it/f87f9f08-e989-4e99-a254-a3650e7ab1b6.json
new file mode 100644
index 000000000..c5897513d
--- /dev/null
+++ b/data/hfopenllm_v2/ehristoforu/qwen2.5-with-lora-think-3b-it/f87f9f08-e989-4e99-a254-a3650e7ab1b6.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/ehristoforu_qwen2.5-with-lora-think-3b-it/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "qwen2.5-with-lora-think-3b-it",
+    "id": "ehristoforu/qwen2.5-with-lora-think-3b-it",
+    "developer": "ehristoforu",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 3.086
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5319
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4687
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2364
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2802
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.431
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3403
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/ehristoforu/rmoe-v1/e58aecba-3254-426d-aac2-05a32c3cbdab.json b/data/hfopenllm_v2/ehristoforu/rmoe-v1/e58aecba-3254-426d-aac2-05a32c3cbdab.json
deleted file mode 100644
index da5a04464..000000000
--- a/data/hfopenllm_v2/ehristoforu/rmoe-v1/e58aecba-3254-426d-aac2-05a32c3cbdab.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/ehristoforu_rmoe-v1/1762652580.1453388",
-  "retrieved_timestamp": "1762652580.14534",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "ehristoforu/rmoe-v1",
-    "developer": "ehristoforu",
-    "inference_platform": "unknown",
-    "id": "ehristoforu/rmoe-v1",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2MoeForCausalLM",
-      "params_billions": 11.026
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.26500795666609045
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.29292907133609175
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.0015105740181268882
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.25838926174496646
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.36634374999999997
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1124501329787234
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/ehristoforu/rmoe-v1/f40496a9-fb14-4b2d-8070-84f55e6417f6.json b/data/hfopenllm_v2/ehristoforu/rmoe-v1/f40496a9-fb14-4b2d-8070-84f55e6417f6.json
new file mode 100644
index 000000000..622169295
--- /dev/null
+++ b/data/hfopenllm_v2/ehristoforu/rmoe-v1/f40496a9-fb14-4b2d-8070-84f55e6417f6.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/ehristoforu_rmoe-v1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "rmoe-v1",
+    "id": "ehristoforu/rmoe-v1",
+    "developer": "ehristoforu",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2MoeForCausalLM",
+      "params_billions": 11.026
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.265
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2929
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0015
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2584
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3663
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1125
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/ehristoforu/rufalcon3-3b-it/8f4336f8-1fdb-4a3d-8b9a-2e7c5e156f07.json b/data/hfopenllm_v2/ehristoforu/rufalcon3-3b-it/8f4336f8-1fdb-4a3d-8b9a-2e7c5e156f07.json
deleted file mode 100644
index 3a584b6c7..000000000
--- a/data/hfopenllm_v2/ehristoforu/rufalcon3-3b-it/8f4336f8-1fdb-4a3d-8b9a-2e7c5e156f07.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/ehristoforu_rufalcon3-3b-it/1762652580.14555",
-  "retrieved_timestamp": "1762652580.14555",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "ehristoforu/rufalcon3-3b-it",
-    "developer": "ehristoforu",
-    "inference_platform": "unknown",
-    "id": "ehristoforu/rufalcon3-3b-it",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 3.228
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5942111375594533
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41554222543957625
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1782477341389728
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2726510067114094
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.38953124999999994
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2347905585106383
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/ehristoforu/rufalcon3-3b-it/cc52f59d-5669-44b0-b1af-e6fd0836e284.json b/data/hfopenllm_v2/ehristoforu/rufalcon3-3b-it/cc52f59d-5669-44b0-b1af-e6fd0836e284.json
new file mode 100644
index 000000000..17d1c2ff2
--- /dev/null
+++ b/data/hfopenllm_v2/ehristoforu/rufalcon3-3b-it/cc52f59d-5669-44b0-b1af-e6fd0836e284.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/ehristoforu_rufalcon3-3b-it/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "rufalcon3-3b-it",
+    "id": "ehristoforu/rufalcon3-3b-it",
+    "developer": "ehristoforu",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 3.228
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5942
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4155
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1782
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2727
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3895
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2348
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/ehristoforu/ruphi-4b/67525a37-f658-40e8-89a1-de8bf6275a00.json b/data/hfopenllm_v2/ehristoforu/ruphi-4b/67525a37-f658-40e8-89a1-de8bf6275a00.json
new file mode 100644
index 000000000..9d1d684fd
--- /dev/null
+++ b/data/hfopenllm_v2/ehristoforu/ruphi-4b/67525a37-f658-40e8-89a1-de8bf6275a00.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/ehristoforu_ruphi-4b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "ruphi-4b",
+    "id": "ehristoforu/ruphi-4b",
+    "developer": "ehristoforu",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Phi3ForCausalLM",
+      "params_billions": 3.821
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1752
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2906
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2399
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3512
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1126
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/ehristoforu/testq-32b/3cb34886-7a93-42b9-a8fa-fab5f4bd8624.json b/data/hfopenllm_v2/ehristoforu/testq-32b/3cb34886-7a93-42b9-a8fa-fab5f4bd8624.json
new file mode 100644
index 000000000..50e07975c
--- /dev/null
+++ b/data/hfopenllm_v2/ehristoforu/testq-32b/3cb34886-7a93-42b9-a8fa-fab5f4bd8624.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/ehristoforu_testq-32b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "testq-32b",
+    "id": "ehristoforu/testq-32b",
+    "developer": "ehristoforu",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 56.165
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1876
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2877
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.003
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2542
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3715
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1166
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/ehristoforu/testq-32b/d5acc9ed-9fd1-411f-a85c-e790521e7fe4.json b/data/hfopenllm_v2/ehristoforu/testq-32b/d5acc9ed-9fd1-411f-a85c-e790521e7fe4.json
deleted file mode 100644
index a3be1b99e..000000000
--- a/data/hfopenllm_v2/ehristoforu/testq-32b/d5acc9ed-9fd1-411f-a85c-e790521e7fe4.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/ehristoforu_testq-32b/1762652580.145958",
-  "retrieved_timestamp": "1762652580.145958",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "ehristoforu/testq-32b",
-    "developer": "ehristoforu",
-    "inference_platform": "unknown",
-    "id": "ehristoforu/testq-32b",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 56.165
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.18759668789921852
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2876549792486152
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.0030211480362537764
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.25419463087248323
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3714583333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11660571808510638
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/ehristoforu/tmoe-v2/0a84406f-a970-4a03-8d2f-c82a8bbd3872.json b/data/hfopenllm_v2/ehristoforu/tmoe-v2/0a84406f-a970-4a03-8d2f-c82a8bbd3872.json
deleted file mode 100644
index e30721f32..000000000
--- a/data/hfopenllm_v2/ehristoforu/tmoe-v2/0a84406f-a970-4a03-8d2f-c82a8bbd3872.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/ehristoforu_tmoe-v2/1762652580.146366",
-  "retrieved_timestamp": "1762652580.146367",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "ehristoforu/tmoe-v2",
-    "developer": "ehristoforu",
-    "inference_platform": "unknown",
-    "id": "ehristoforu/tmoe-v2",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2MoeForCausalLM",
-      "params_billions": 11.026
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.19026959578363187
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2896740649804915
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.0022658610271903325
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2634228187919463
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4150833333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11003989361702128
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/ehristoforu/tmoe-v2/0dd1f9fc-cf54-47ff-8ccd-148b45f3c921.json b/data/hfopenllm_v2/ehristoforu/tmoe-v2/0dd1f9fc-cf54-47ff-8ccd-148b45f3c921.json
new file mode 100644
index 000000000..ed11e623d
--- /dev/null
+++ b/data/hfopenllm_v2/ehristoforu/tmoe-v2/0dd1f9fc-cf54-47ff-8ccd-148b45f3c921.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/ehristoforu_tmoe-v2/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "tmoe-v2",
+    "id": "ehristoforu/tmoe-v2",
+    "developer": "ehristoforu",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2MoeForCausalLM",
+      "params_billions": 11.026
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1903
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2897
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0023
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2634
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4151
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.11
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/ehristoforu/tmoe/0a160c2d-06ed-43c0-8705-bd76e47c093a.json b/data/hfopenllm_v2/ehristoforu/tmoe/0a160c2d-06ed-43c0-8705-bd76e47c093a.json
deleted file mode 100644
index aa09c37be..000000000
--- a/data/hfopenllm_v2/ehristoforu/tmoe/0a160c2d-06ed-43c0-8705-bd76e47c093a.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/ehristoforu_tmoe/1762652580.1461592",
-  "retrieved_timestamp": "1762652580.1461592",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "ehristoforu/tmoe",
-    "developer": "ehristoforu",
-    "inference_platform": "unknown",
-    "id": "ehristoforu/tmoe",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2MoeForCausalLM",
-      "params_billions": 11.026
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11930234001338672
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30728601408520645
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.0075528700906344415
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2231543624161074
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.36990624999999994
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11909906914893617
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/ehristoforu/tmoe/7a05616e-7335-419a-914d-00fb287fe663.json b/data/hfopenllm_v2/ehristoforu/tmoe/7a05616e-7335-419a-914d-00fb287fe663.json
new file mode 100644
index 000000000..d62cd4fdb
--- /dev/null
+++ b/data/hfopenllm_v2/ehristoforu/tmoe/7a05616e-7335-419a-914d-00fb287fe663.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/ehristoforu_tmoe/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "tmoe",
+    "id": "ehristoforu/tmoe",
+    "developer": "ehristoforu",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2MoeForCausalLM",
+      "params_billions": 11.026
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1193
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3073
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0076
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2232
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3699
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1191
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/ehristoforu/trd-7b-it/070a21b5-4cd3-41b7-9653-0d2d2e4f273d.json b/data/hfopenllm_v2/ehristoforu/trd-7b-it/070a21b5-4cd3-41b7-9653-0d2d2e4f273d.json
new file mode 100644
index 000000000..bf0489323
--- /dev/null
+++ b/data/hfopenllm_v2/ehristoforu/trd-7b-it/070a21b5-4cd3-41b7-9653-0d2d2e4f273d.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/ehristoforu_trd-7b-it/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "trd-7b-it",
+    "id": "ehristoforu/trd-7b-it",
+    "developer": "ehristoforu",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.613
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2185
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.299
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0317
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2701
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3794
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1179
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/ehristoforu/trd-7b-it/3bd7f3c1-772a-45fa-9d71-a6e3dff3b54f.json b/data/hfopenllm_v2/ehristoforu/trd-7b-it/3bd7f3c1-772a-45fa-9d71-a6e3dff3b54f.json
deleted file mode 100644
index 607b1a0d5..000000000
--- a/data/hfopenllm_v2/ehristoforu/trd-7b-it/3bd7f3c1-772a-45fa-9d71-a6e3dff3b54f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/ehristoforu_trd-7b-it/1762652580.146566",
-  "retrieved_timestamp": "1762652580.1465669",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
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diff --git a/data/hfopenllm_v2/ehristoforu/ud-14b/5afc044a-3138-443f-89cf-74f1272cc632.json b/data/hfopenllm_v2/ehristoforu/ud-14b/5afc044a-3138-443f-89cf-74f1272cc632.json
new file mode 100644
index 000000000..5bff4a74e
--- /dev/null
+++ b/data/hfopenllm_v2/ehristoforu/ud-14b/5afc044a-3138-443f-89cf-74f1272cc632.json
@@ -0,0 +1,132 @@
+{
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+  "evaluation_id": "hfopenllm_v2/ehristoforu_ud-14b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "ud-14b",
+    "id": "ehristoforu/ud-14b",
+    "developer": "ehristoforu",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.766
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4235
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+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3324
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1903
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2374
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4394
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2415
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/ehristoforu/ud-14b/7e7ffbef-c8d4-47ff-9ae6-7f0701e9e192.json b/data/hfopenllm_v2/ehristoforu/ud-14b/7e7ffbef-c8d4-47ff-9ae6-7f0701e9e192.json
deleted file mode 100644
index 311e63a18..000000000
--- a/data/hfopenllm_v2/ehristoforu/ud-14b/7e7ffbef-c8d4-47ff-9ae6-7f0701e9e192.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/ehristoforu_ud-14b/1762652580.146786",
-  "retrieved_timestamp": "1762652580.146786",
-  "source_data": [
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-  ],
-  "source_metadata": {
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "ehristoforu/ud-14b",
-    "developer": "ehristoforu",
-    "inference_platform": "unknown",
-    "id": "ehristoforu/ud-14b",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 14.766
-    }
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-      "evaluation_name": "IFEval",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
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-        "score_type": "continuous",
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-    {
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-        "score_type": "continuous",
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-        "lower_is_better": false,
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-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.24152260638297873
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/elinas/Chronos-Gold-12B-1.0/4705d82c-514c-48a1-8f87-4d2b8f9aff6b.json b/data/hfopenllm_v2/elinas/Chronos-Gold-12B-1.0/4705d82c-514c-48a1-8f87-4d2b8f9aff6b.json
deleted file mode 100644
index 218a48cd1..000000000
--- a/data/hfopenllm_v2/elinas/Chronos-Gold-12B-1.0/4705d82c-514c-48a1-8f87-4d2b8f9aff6b.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/elinas_Chronos-Gold-12B-1.0/1762652580.1470149",
-  "retrieved_timestamp": "1762652580.147016",
-  "source_data": [
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-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "elinas/Chronos-Gold-12B-1.0",
-    "developer": "elinas",
-    "inference_platform": "unknown",
-    "id": "elinas/Chronos-Gold-12B-1.0",
-    "additional_details": {
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-      "architecture": "MistralForCausalLM",
-      "params_billions": 12.248
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-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
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-        "score_type": "continuous",
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-        "max_score": 1
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    }
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-}
diff --git a/data/hfopenllm_v2/elinas/Chronos-Gold-12B-1.0/a6c1d914-647c-46b7-b0e1-712b8d506780.json b/data/hfopenllm_v2/elinas/Chronos-Gold-12B-1.0/a6c1d914-647c-46b7-b0e1-712b8d506780.json
new file mode 100644
index 000000000..1bd60921e
--- /dev/null
+++ b/data/hfopenllm_v2/elinas/Chronos-Gold-12B-1.0/a6c1d914-647c-46b7-b0e1-712b8d506780.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/elinas_Chronos-Gold-12B-1.0/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Chronos-Gold-12B-1.0",
+    "id": "elinas/Chronos-Gold-12B-1.0",
+    "developer": "elinas",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 12.248
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3166
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+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5515
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0695
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.318
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.474
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3518
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/ell44ot/gemma-2b-def/43f35eac-0946-42f9-a128-eb8011c29588.json b/data/hfopenllm_v2/ell44ot/gemma-2b-def/43f35eac-0946-42f9-a128-eb8011c29588.json
new file mode 100644
index 000000000..07020d3eb
--- /dev/null
+++ b/data/hfopenllm_v2/ell44ot/gemma-2b-def/43f35eac-0946-42f9-a128-eb8011c29588.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/ell44ot_gemma-2b-def/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "gemma-2b-def",
+    "id": "ell44ot/gemma-2b-def",
+    "developer": "ell44ot",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "GemmaModel",
+      "params_billions": 1.546
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2693
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+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3159
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0242
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2735
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.367
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1572
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/euclaise/ReMask-3B/04c22be7-2cf4-4774-b479-863199c7c3a4.json b/data/hfopenllm_v2/euclaise/ReMask-3B/04c22be7-2cf4-4774-b479-863199c7c3a4.json
new file mode 100644
index 000000000..f550f9a02
--- /dev/null
+++ b/data/hfopenllm_v2/euclaise/ReMask-3B/04c22be7-2cf4-4774-b479-863199c7c3a4.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/euclaise_ReMask-3B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "ReMask-3B",
+    "id": "euclaise/ReMask-3B",
+    "developer": "euclaise",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "StableLmForCausalLM",
+      "params_billions": 2.795
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2419
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3517
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0196
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2668
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3341
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1357
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/euclaise/ReMask-3B/a905005d-85fa-44c9-848b-286f9100bab7.json b/data/hfopenllm_v2/euclaise/ReMask-3B/a905005d-85fa-44c9-848b-286f9100bab7.json
deleted file mode 100644
index 390b62f9b..000000000
--- a/data/hfopenllm_v2/euclaise/ReMask-3B/a905005d-85fa-44c9-848b-286f9100bab7.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/euclaise_ReMask-3B/1762652580.14753",
-  "retrieved_timestamp": "1762652580.147531",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "euclaise/ReMask-3B",
-    "developer": "euclaise",
-    "inference_platform": "unknown",
-    "id": "euclaise/ReMask-3B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "StableLmForCausalLM",
-      "params_billions": 2.795
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2419269759792905
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3516779692917367
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.019637462235649546
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.26677852348993286
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.33409375
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.13572140957446807
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/eworojoshua/vas-01/f02ca364-4bf8-4f00-aecc-492ac1f0817a.json b/data/hfopenllm_v2/eworojoshua/vas-01/f02ca364-4bf8-4f00-aecc-492ac1f0817a.json
deleted file mode 100644
index 0e77fb418..000000000
--- a/data/hfopenllm_v2/eworojoshua/vas-01/f02ca364-4bf8-4f00-aecc-492ac1f0817a.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/eworojoshua_vas-01/1762652580.1477718",
-  "retrieved_timestamp": "1762652580.147773",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "eworojoshua/vas-01",
-    "developer": "eworojoshua",
-    "inference_platform": "unknown",
-    "id": "eworojoshua/vas-01",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.616
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7612479332615238
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5417819433732887
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4735649546827795
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30956375838926176
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.44323958333333335
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4347573138297872
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/eworojoshua/vas-01/fc3d436b-ec61-4458-a3c6-1df41057ea70.json b/data/hfopenllm_v2/eworojoshua/vas-01/fc3d436b-ec61-4458-a3c6-1df41057ea70.json
new file mode 100644
index 000000000..d331211d6
--- /dev/null
+++ b/data/hfopenllm_v2/eworojoshua/vas-01/fc3d436b-ec61-4458-a3c6-1df41057ea70.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/eworojoshua_vas-01/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "vas-01",
+    "id": "eworojoshua/vas-01",
+    "developer": "eworojoshua",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7612
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5418
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4736
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3096
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4432
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4348
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/ewre324/Thinker-Llama-3.2-3B-Instruct-Reasoning/8bdc63c5-2ed3-4738-8a5c-6b90ba969f99.json b/data/hfopenllm_v2/ewre324/Thinker-Llama-3.2-3B-Instruct-Reasoning/8bdc63c5-2ed3-4738-8a5c-6b90ba969f99.json
deleted file mode 100644
index 963f99318..000000000
--- a/data/hfopenllm_v2/ewre324/Thinker-Llama-3.2-3B-Instruct-Reasoning/8bdc63c5-2ed3-4738-8a5c-6b90ba969f99.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/ewre324_Thinker-Llama-3.2-3B-Instruct-Reasoning/1762652580.148031",
-  "retrieved_timestamp": "1762652580.148032",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "ewre324/Thinker-Llama-3.2-3B-Instruct-Reasoning",
-    "developer": "ewre324",
-    "inference_platform": "unknown",
-    "id": "ewre324/Thinker-Llama-3.2-3B-Instruct-Reasoning",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 3.213
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.44388555698878973
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4273125047156003
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
-        "score": 0.08459214501510574
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
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-        "min_score": 0,
-        "max_score": 1
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-        "score": 0.27684563758389263
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.36553125000000003
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
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diff --git a/data/hfopenllm_v2/ewre324/Thinker-Llama-3.2-3B-Instruct-Reasoning/e3ed157f-f306-40fb-b3a1-d3434236759e.json b/data/hfopenllm_v2/ewre324/Thinker-Llama-3.2-3B-Instruct-Reasoning/e3ed157f-f306-40fb-b3a1-d3434236759e.json
new file mode 100644
index 000000000..99fd3f7c5
--- /dev/null
+++ b/data/hfopenllm_v2/ewre324/Thinker-Llama-3.2-3B-Instruct-Reasoning/e3ed157f-f306-40fb-b3a1-d3434236759e.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/ewre324_Thinker-Llama-3.2-3B-Instruct-Reasoning/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Thinker-Llama-3.2-3B-Instruct-Reasoning",
+    "id": "ewre324/Thinker-Llama-3.2-3B-Instruct-Reasoning",
+    "developer": "ewre324",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 3.213
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4439
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4273
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0846
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2768
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3655
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2886
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/ewre324/Thinker-Qwen2.5-0.5B-Instruct-Reasoning/8793b3e3-f409-499a-81f8-c250c8092841.json b/data/hfopenllm_v2/ewre324/Thinker-Qwen2.5-0.5B-Instruct-Reasoning/8793b3e3-f409-499a-81f8-c250c8092841.json
new file mode 100644
index 000000000..eba4ef4a3
--- /dev/null
+++ b/data/hfopenllm_v2/ewre324/Thinker-Qwen2.5-0.5B-Instruct-Reasoning/8793b3e3-f409-499a-81f8-c250c8092841.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/ewre324_Thinker-Qwen2.5-0.5B-Instruct-Reasoning/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Thinker-Qwen2.5-0.5B-Instruct-Reasoning",
+    "id": "ewre324/Thinker-Qwen2.5-0.5B-Instruct-Reasoning",
+    "developer": "ewre324",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 0.494
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2476
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3292
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0287
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2852
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3382
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1647
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/ewre324/Thinker-Qwen2.5-0.5B-Instruct-Reasoning/fe29c3e7-463b-45a1-8377-97e7c7f21874.json b/data/hfopenllm_v2/ewre324/Thinker-Qwen2.5-0.5B-Instruct-Reasoning/fe29c3e7-463b-45a1-8377-97e7c7f21874.json
deleted file mode 100644
index 32d20856c..000000000
--- a/data/hfopenllm_v2/ewre324/Thinker-Qwen2.5-0.5B-Instruct-Reasoning/fe29c3e7-463b-45a1-8377-97e7c7f21874.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/ewre324_Thinker-Qwen2.5-0.5B-Instruct-Reasoning/1762652580.148299",
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-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "ewre324/Thinker-Qwen2.5-0.5B-Instruct-Reasoning",
-    "developer": "ewre324",
-    "inference_platform": "unknown",
-    "id": "ewre324/Thinker-Qwen2.5-0.5B-Instruct-Reasoning",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 0.494
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-    },
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
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-        "score": 0.3292122979013761
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
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-        "lower_is_better": false,
-        "score_type": "continuous",
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-      }
-    },
-    {
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-        "lower_is_better": false,
-        "score_type": "continuous",
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-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.28523489932885904
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.33821875
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.16472739361702127
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/ewre324/Thinker-SmolLM2-135M-Instruct-Reasoning/33572f63-15ba-4fbc-b1cf-56b978384d02.json b/data/hfopenllm_v2/ewre324/Thinker-SmolLM2-135M-Instruct-Reasoning/33572f63-15ba-4fbc-b1cf-56b978384d02.json
new file mode 100644
index 000000000..3408e328d
--- /dev/null
+++ b/data/hfopenllm_v2/ewre324/Thinker-SmolLM2-135M-Instruct-Reasoning/33572f63-15ba-4fbc-b1cf-56b978384d02.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/ewre324_Thinker-SmolLM2-135M-Instruct-Reasoning/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Thinker-SmolLM2-135M-Instruct-Reasoning",
+    "id": "ewre324/Thinker-SmolLM2-135M-Instruct-Reasoning",
+    "developer": "ewre324",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 0.135
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2584
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3071
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0091
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2525
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3661
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1094
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/ewre324/Thinker-SmolLM2-135M-Instruct-Reasoning/5a03703c-6934-437c-aaca-2acfdd4ca629.json b/data/hfopenllm_v2/ewre324/Thinker-SmolLM2-135M-Instruct-Reasoning/5a03703c-6934-437c-aaca-2acfdd4ca629.json
deleted file mode 100644
index 7acb0a3ec..000000000
--- a/data/hfopenllm_v2/ewre324/Thinker-SmolLM2-135M-Instruct-Reasoning/5a03703c-6934-437c-aaca-2acfdd4ca629.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/ewre324_Thinker-SmolLM2-135M-Instruct-Reasoning/1762652580.148509",
-  "retrieved_timestamp": "1762652580.14851",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "ewre324/Thinker-SmolLM2-135M-Instruct-Reasoning",
-    "developer": "ewre324",
-    "inference_platform": "unknown",
-    "id": "ewre324/Thinker-SmolLM2-135M-Instruct-Reasoning",
-    "additional_details": {
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-      "architecture": "LlamaForCausalLM",
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-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
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-        "min_score": 0,
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-      },
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.00906344410876133
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2525167785234899
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.366125
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.109375
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/ewre324/ewre324-R1-SmolLM2-135M-Distill/44c636ba-8303-4d75-bcb5-46e3c07a991a.json b/data/hfopenllm_v2/ewre324/ewre324-R1-SmolLM2-135M-Distill/44c636ba-8303-4d75-bcb5-46e3c07a991a.json
new file mode 100644
index 000000000..5cd36efa3
--- /dev/null
+++ b/data/hfopenllm_v2/ewre324/ewre324-R1-SmolLM2-135M-Distill/44c636ba-8303-4d75-bcb5-46e3c07a991a.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/ewre324_ewre324-R1-SmolLM2-135M-Distill/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "ewre324-R1-SmolLM2-135M-Distill",
+    "id": "ewre324/ewre324-R1-SmolLM2-135M-Distill",
+    "developer": "ewre324",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 0.135
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1649
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3042
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0128
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2617
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3409
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1134
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/ewre324/ewre324-R1-SmolLM2-135M-Distill/6429c440-4d89-4d31-919c-63cde25ba99f.json b/data/hfopenllm_v2/ewre324/ewre324-R1-SmolLM2-135M-Distill/6429c440-4d89-4d31-919c-63cde25ba99f.json
deleted file mode 100644
index 17af7d665..000000000
--- a/data/hfopenllm_v2/ewre324/ewre324-R1-SmolLM2-135M-Distill/6429c440-4d89-4d31-919c-63cde25ba99f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/ewre324_ewre324-R1-SmolLM2-135M-Distill/1762652580.148724",
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-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "ewre324/ewre324-R1-SmolLM2-135M-Distill",
-    "developer": "ewre324",
-    "inference_platform": "unknown",
-    "id": "ewre324/ewre324-R1-SmolLM2-135M-Distill",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 0.135
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3041695757290421
-      }
-    },
-    {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
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-        "score": 0.26174496644295303
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-    },
-    {
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-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
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-        "score": 0.11336436170212766
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/experiment-llm/exp-3-q-r/0a002444-3e5a-4fc8-acc6-72210a4181a9.json b/data/hfopenllm_v2/experiment-llm/exp-3-q-r/0a002444-3e5a-4fc8-acc6-72210a4181a9.json
new file mode 100644
index 000000000..3553a3e14
--- /dev/null
+++ b/data/hfopenllm_v2/experiment-llm/exp-3-q-r/0a002444-3e5a-4fc8-acc6-72210a4181a9.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/experiment-llm_exp-3-q-r/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "exp-3-q-r",
+    "id": "experiment-llm/exp-3-q-r",
+    "developer": "experiment-llm",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6036
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5397
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2787
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2936
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4315
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4316
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/experiment-llm/exp-3-q-r/7d72dcb1-bc5d-41bf-b333-c21e67b0acd2.json b/data/hfopenllm_v2/experiment-llm/exp-3-q-r/7d72dcb1-bc5d-41bf-b333-c21e67b0acd2.json
deleted file mode 100644
index c128cd8e9..000000000
--- a/data/hfopenllm_v2/experiment-llm/exp-3-q-r/7d72dcb1-bc5d-41bf-b333-c21e67b0acd2.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/experiment-llm_exp-3-q-r/1762652580.148931",
-  "retrieved_timestamp": "1762652580.148932",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "experiment-llm/exp-3-q-r",
-    "developer": "experiment-llm",
-    "inference_platform": "unknown",
-    "id": "experiment-llm/exp-3-q-r",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.616
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6035785050333116
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5397159253811645
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.27870090634441086
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2936241610738255
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.43154166666666666
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.43159906914893614
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/facebook/opt-1.3b/8675526d-af0b-4bf2-b143-123249371076.json b/data/hfopenllm_v2/facebook/opt-1.3b/8675526d-af0b-4bf2-b143-123249371076.json
deleted file mode 100644
index 97fe15dd4..000000000
--- a/data/hfopenllm_v2/facebook/opt-1.3b/8675526d-af0b-4bf2-b143-123249371076.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/facebook_opt-1.3b/1762652580.14919",
-  "retrieved_timestamp": "1762652580.14919",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "facebook/opt-1.3b",
-    "developer": "facebook",
-    "inference_platform": "unknown",
-    "id": "facebook/opt-1.3b",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "OPTForCausalLM",
-      "params_billions": 1.3
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.23832985367713222
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-    },
-    {
-      "evaluation_name": "BBH",
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-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
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-        "evaluation_description": "Exact Match on MATH Level 5",
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-    {
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-        "score_type": "continuous",
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-    {
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-        "score_type": "continuous",
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-        "max_score": 1
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-      "score_details": {
-        "score": 0.342
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
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-      "score_details": {
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diff --git a/data/hfopenllm_v2/facebook/opt-1.3b/bbf936a5-3594-4d0a-b5af-7a01740d0c81.json b/data/hfopenllm_v2/facebook/opt-1.3b/bbf936a5-3594-4d0a-b5af-7a01740d0c81.json
new file mode 100644
index 000000000..fc192890e
--- /dev/null
+++ b/data/hfopenllm_v2/facebook/opt-1.3b/bbf936a5-3594-4d0a-b5af-7a01740d0c81.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/facebook_opt-1.3b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "opt-1.3b",
+    "id": "facebook/opt-1.3b",
+    "developer": "facebook",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "OPTForCausalLM",
+      "params_billions": 1.3
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2383
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3094
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0091
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2424
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.342
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1107
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/facebook/opt-30b/1164abea-4cc2-46a7-a44b-f024a2ce40b4.json b/data/hfopenllm_v2/facebook/opt-30b/1164abea-4cc2-46a7-a44b-f024a2ce40b4.json
new file mode 100644
index 000000000..d05075cf6
--- /dev/null
+++ b/data/hfopenllm_v2/facebook/opt-30b/1164abea-4cc2-46a7-a44b-f024a2ce40b4.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/facebook_opt-30b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "opt-30b",
+    "id": "facebook/opt-30b",
+    "developer": "facebook",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "OPTForCausalLM",
+      "params_billions": 30.0
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2453
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.307
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0106
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2693
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3604
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1164
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/facebook/opt-30b/1883ddb6-e4cc-4935-81ba-af30af1537e9.json b/data/hfopenllm_v2/facebook/opt-30b/1883ddb6-e4cc-4935-81ba-af30af1537e9.json
deleted file mode 100644
index 39f17b883..000000000
--- a/data/hfopenllm_v2/facebook/opt-30b/1883ddb6-e4cc-4935-81ba-af30af1537e9.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/facebook_opt-30b/1762652580.14943",
-  "retrieved_timestamp": "1762652580.149431",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "facebook/opt-30b",
-    "developer": "facebook",
-    "inference_platform": "unknown",
-    "id": "facebook/opt-30b",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "OPTForCausalLM",
-      "params_billions": 30.0
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2452991396162183
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30703447525623373
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.010574018126888218
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.26929530201342283
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.36041666666666666
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1163563829787234
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/failspy/Llama-3-8B-Instruct-MopeyMule/bfd88bec-fcc2-4580-a5c7-4792a0300a5b.json b/data/hfopenllm_v2/failspy/Llama-3-8B-Instruct-MopeyMule/bfd88bec-fcc2-4580-a5c7-4792a0300a5b.json
new file mode 100644
index 000000000..c959c146e
--- /dev/null
+++ b/data/hfopenllm_v2/failspy/Llama-3-8B-Instruct-MopeyMule/bfd88bec-fcc2-4580-a5c7-4792a0300a5b.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/failspy_Llama-3-8B-Instruct-MopeyMule/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-3-8B-Instruct-MopeyMule",
+    "id": "failspy/Llama-3-8B-Instruct-MopeyMule",
+    "developer": "failspy",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.675
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3839
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0196
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2391
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3513
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1764
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/failspy/Llama-3-8B-Instruct-MopeyMule/f5bfa461-15bf-4e32-8471-74f456c62fd9.json b/data/hfopenllm_v2/failspy/Llama-3-8B-Instruct-MopeyMule/f5bfa461-15bf-4e32-8471-74f456c62fd9.json
deleted file mode 100644
index 79a240c30..000000000
--- a/data/hfopenllm_v2/failspy/Llama-3-8B-Instruct-MopeyMule/f5bfa461-15bf-4e32-8471-74f456c62fd9.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/failspy_Llama-3-8B-Instruct-MopeyMule/1762652580.1496441",
-  "retrieved_timestamp": "1762652580.1496441",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "failspy/Llama-3-8B-Instruct-MopeyMule",
-    "developer": "failspy",
-    "inference_platform": "unknown",
-    "id": "failspy/Llama-3-8B-Instruct-MopeyMule",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6750444376476638
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.383874490132152
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.019637462235649546
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.23909395973154363
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.35130208333333335
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.17644614361702127
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/failspy/Llama-3-8B-Instruct-abliterated/7f49e582-a01f-481f-8345-1c384fc8b567.json b/data/hfopenllm_v2/failspy/Llama-3-8B-Instruct-abliterated/7f49e582-a01f-481f-8345-1c384fc8b567.json
new file mode 100644
index 000000000..b05984172
--- /dev/null
+++ b/data/hfopenllm_v2/failspy/Llama-3-8B-Instruct-abliterated/7f49e582-a01f-481f-8345-1c384fc8b567.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/failspy_Llama-3-8B-Instruct-abliterated/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-3-8B-Instruct-abliterated",
+    "id": "failspy/Llama-3-8B-Instruct-abliterated",
+    "developer": "failspy",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5909
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4354
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0385
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.276
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4116
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2742
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/failspy/Llama-3-8B-Instruct-abliterated/8aa6c90e-a6ee-4dfe-8bf4-b5d256be9cd6.json b/data/hfopenllm_v2/failspy/Llama-3-8B-Instruct-abliterated/8aa6c90e-a6ee-4dfe-8bf4-b5d256be9cd6.json
deleted file mode 100644
index 47fd05b71..000000000
--- a/data/hfopenllm_v2/failspy/Llama-3-8B-Instruct-abliterated/8aa6c90e-a6ee-4dfe-8bf4-b5d256be9cd6.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/failspy_Llama-3-8B-Instruct-abliterated/1762652580.1499012",
-  "retrieved_timestamp": "1762652580.149902",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "failspy/Llama-3-8B-Instruct-abliterated",
-    "developer": "failspy",
-    "inference_platform": "unknown",
-    "id": "failspy/Llama-3-8B-Instruct-abliterated",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5908888416069362
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4353752684977051
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.03851963746223565
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.276006711409396
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41158333333333336
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2741855053191489
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/failspy/Meta-Llama-3-70B-Instruct-abliterated-v3.5/10937ed1-56e2-4aad-b717-5125bc8ac72a.json b/data/hfopenllm_v2/failspy/Meta-Llama-3-70B-Instruct-abliterated-v3.5/10937ed1-56e2-4aad-b717-5125bc8ac72a.json
new file mode 100644
index 000000000..794c2e176
--- /dev/null
+++ b/data/hfopenllm_v2/failspy/Meta-Llama-3-70B-Instruct-abliterated-v3.5/10937ed1-56e2-4aad-b717-5125bc8ac72a.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/failspy_Meta-Llama-3-70B-Instruct-abliterated-v3.5/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Meta-Llama-3-70B-Instruct-abliterated-v3.5",
+    "id": "failspy/Meta-Llama-3-70B-Instruct-abliterated-v3.5",
+    "developer": "failspy",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 70.554
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7747
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5747
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1284
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.297
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3982
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4452
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/failspy/Meta-Llama-3-70B-Instruct-abliterated-v3.5/e0329607-d832-4252-ad71-81e8a8c4bb31.json b/data/hfopenllm_v2/failspy/Meta-Llama-3-70B-Instruct-abliterated-v3.5/e0329607-d832-4252-ad71-81e8a8c4bb31.json
deleted file mode 100644
index 1aa3bbcc8..000000000
--- a/data/hfopenllm_v2/failspy/Meta-Llama-3-70B-Instruct-abliterated-v3.5/e0329607-d832-4252-ad71-81e8a8c4bb31.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/failspy_Meta-Llama-3-70B-Instruct-abliterated-v3.5/1762652580.1501682",
-  "retrieved_timestamp": "1762652580.1501691",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "failspy/Meta-Llama-3-70B-Instruct-abliterated-v3.5",
-    "developer": "failspy",
-    "inference_platform": "unknown",
-    "id": "failspy/Meta-Llama-3-70B-Instruct-abliterated-v3.5",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 70.554
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7746867201248244
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.574710022890038
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1283987915407855
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.29697986577181207
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.39818749999999997
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.44522938829787234
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/failspy/Meta-Llama-3-8B-Instruct-abliterated-v3/c598dbff-4ab5-4405-b75d-13571ae3d862.json b/data/hfopenllm_v2/failspy/Meta-Llama-3-8B-Instruct-abliterated-v3/c598dbff-4ab5-4405-b75d-13571ae3d862.json
deleted file mode 100644
index 37ff4b0ad..000000000
--- a/data/hfopenllm_v2/failspy/Meta-Llama-3-8B-Instruct-abliterated-v3/c598dbff-4ab5-4405-b75d-13571ae3d862.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/failspy_Meta-Llama-3-8B-Instruct-abliterated-v3/1762652580.150389",
-  "retrieved_timestamp": "1762652580.15039",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "failspy/Meta-Llama-3-8B-Instruct-abliterated-v3",
-    "developer": "failspy",
-    "inference_platform": "unknown",
-    "id": "failspy/Meta-Llama-3-8B-Instruct-abliterated-v3",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7244533393617822
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4924562150856957
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
-        "score": 0.09592145015105741
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.26426174496644295
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.36218749999999994
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3653590425531915
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/failspy/Meta-Llama-3-8B-Instruct-abliterated-v3/f4622539-c0ac-4e9f-86d4-00e3c826d03b.json b/data/hfopenllm_v2/failspy/Meta-Llama-3-8B-Instruct-abliterated-v3/f4622539-c0ac-4e9f-86d4-00e3c826d03b.json
new file mode 100644
index 000000000..eb2bf7ad8
--- /dev/null
+++ b/data/hfopenllm_v2/failspy/Meta-Llama-3-8B-Instruct-abliterated-v3/f4622539-c0ac-4e9f-86d4-00e3c826d03b.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/failspy_Meta-Llama-3-8B-Instruct-abliterated-v3/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Meta-Llama-3-8B-Instruct-abliterated-v3",
+    "id": "failspy/Meta-Llama-3-8B-Instruct-abliterated-v3",
+    "developer": "failspy",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7245
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4925
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0959
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2643
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3622
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3654
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/failspy/Phi-3-medium-4k-instruct-abliterated-v3/264bc4a6-f0ad-4eef-a519-6d97f8f6ab91.json b/data/hfopenllm_v2/failspy/Phi-3-medium-4k-instruct-abliterated-v3/264bc4a6-f0ad-4eef-a519-6d97f8f6ab91.json
deleted file mode 100644
index 7cb1aa910..000000000
--- a/data/hfopenllm_v2/failspy/Phi-3-medium-4k-instruct-abliterated-v3/264bc4a6-f0ad-4eef-a519-6d97f8f6ab91.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/failspy_Phi-3-medium-4k-instruct-abliterated-v3/1762652580.1505978",
-  "retrieved_timestamp": "1762652580.150599",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "failspy/Phi-3-medium-4k-instruct-abliterated-v3",
-    "developer": "failspy",
-    "inference_platform": "unknown",
-    "id": "failspy/Phi-3-medium-4k-instruct-abliterated-v3",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Phi3ForCausalLM",
-      "params_billions": 13.96
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6319299458769398
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6304799176474429
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1593655589123867
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.31711409395973156
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4604166666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4399933510638298
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/failspy/Phi-3-medium-4k-instruct-abliterated-v3/6b13b2b1-68cd-4aae-8f2b-2400f40760d7.json b/data/hfopenllm_v2/failspy/Phi-3-medium-4k-instruct-abliterated-v3/6b13b2b1-68cd-4aae-8f2b-2400f40760d7.json
new file mode 100644
index 000000000..8fbcaddc2
--- /dev/null
+++ b/data/hfopenllm_v2/failspy/Phi-3-medium-4k-instruct-abliterated-v3/6b13b2b1-68cd-4aae-8f2b-2400f40760d7.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/failspy_Phi-3-medium-4k-instruct-abliterated-v3/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Phi-3-medium-4k-instruct-abliterated-v3",
+    "id": "failspy/Phi-3-medium-4k-instruct-abliterated-v3",
+    "developer": "failspy",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Phi3ForCausalLM",
+      "params_billions": 13.96
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6319
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6305
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1594
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3171
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4604
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.44
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/failspy/llama-3-70B-Instruct-abliterated/5b02726c-ba3f-482b-9f10-87b8d69ffeb4.json b/data/hfopenllm_v2/failspy/llama-3-70B-Instruct-abliterated/5b02726c-ba3f-482b-9f10-87b8d69ffeb4.json
new file mode 100644
index 000000000..c9da5b3a7
--- /dev/null
+++ b/data/hfopenllm_v2/failspy/llama-3-70B-Instruct-abliterated/5b02726c-ba3f-482b-9f10-87b8d69ffeb4.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/failspy_llama-3-70B-Instruct-abliterated/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "llama-3-70B-Instruct-abliterated",
+    "id": "failspy/llama-3-70B-Instruct-abliterated",
+    "developer": "failspy",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 70.554
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.8023
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6465
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2432
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2894
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4128
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5145
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/failspy/llama-3-70B-Instruct-abliterated/f31f7ad3-9018-4891-be05-12787728904c.json b/data/hfopenllm_v2/failspy/llama-3-70B-Instruct-abliterated/f31f7ad3-9018-4891-be05-12787728904c.json
deleted file mode 100644
index be42389fb..000000000
--- a/data/hfopenllm_v2/failspy/llama-3-70B-Instruct-abliterated/f31f7ad3-9018-4891-be05-12787728904c.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/failspy_llama-3-70B-Instruct-abliterated/1762652580.1508029",
-  "retrieved_timestamp": "1762652580.150804",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "failspy/llama-3-70B-Instruct-abliterated",
-    "developer": "failspy",
-    "inference_platform": "unknown",
-    "id": "failspy/llama-3-70B-Instruct-abliterated",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 70.554
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.8023389052159382
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6464853840398571
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.243202416918429
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.28942953020134227
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4127604166666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5145445478723404
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/fblgit/TheBeagle-v2beta-32B-MGS/21d6f2dd-7bd6-42a9-b14e-c25777497890.json b/data/hfopenllm_v2/fblgit/TheBeagle-v2beta-32B-MGS/21d6f2dd-7bd6-42a9-b14e-c25777497890.json
new file mode 100644
index 000000000..bfc6fcad1
--- /dev/null
+++ b/data/hfopenllm_v2/fblgit/TheBeagle-v2beta-32B-MGS/21d6f2dd-7bd6-42a9-b14e-c25777497890.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/fblgit_TheBeagle-v2beta-32B-MGS/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "TheBeagle-v2beta-32B-MGS",
+    "id": "fblgit/TheBeagle-v2beta-32B-MGS",
+    "developer": "fblgit",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 32.764
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5181
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7033
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4947
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3826
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5008
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5915
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/fblgit/TheBeagle-v2beta-32B-MGS/63bdc7e2-6518-4da4-81f4-74aab25f7a5e.json b/data/hfopenllm_v2/fblgit/TheBeagle-v2beta-32B-MGS/63bdc7e2-6518-4da4-81f4-74aab25f7a5e.json
deleted file mode 100644
index fbecba788..000000000
--- a/data/hfopenllm_v2/fblgit/TheBeagle-v2beta-32B-MGS/63bdc7e2-6518-4da4-81f4-74aab25f7a5e.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/fblgit_TheBeagle-v2beta-32B-MGS/1762652580.1510022",
-  "retrieved_timestamp": "1762652580.151003",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "fblgit/TheBeagle-v2beta-32B-MGS",
-    "developer": "fblgit",
-    "inference_platform": "unknown",
-    "id": "fblgit/TheBeagle-v2beta-32B-MGS",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 32.764
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.518074265171966
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7032634749563558
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4947129909365559
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3825503355704698
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.50075
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5915059840425532
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/fblgit/TheBeagle-v2beta-32B-MGS/8338dd8a-88c2-42f8-9d67-13b852e3c0ea.json b/data/hfopenllm_v2/fblgit/TheBeagle-v2beta-32B-MGS/8338dd8a-88c2-42f8-9d67-13b852e3c0ea.json
deleted file mode 100644
index fe4a5d838..000000000
--- a/data/hfopenllm_v2/fblgit/TheBeagle-v2beta-32B-MGS/8338dd8a-88c2-42f8-9d67-13b852e3c0ea.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/fblgit_TheBeagle-v2beta-32B-MGS/1762652580.151249",
-  "retrieved_timestamp": "1762652580.151249",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "fblgit/TheBeagle-v2beta-32B-MGS",
-    "developer": "fblgit",
-    "inference_platform": "unknown",
-    "id": "fblgit/TheBeagle-v2beta-32B-MGS",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 32.764
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4503051902285935
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.703542441088263
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3942598187311178
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.401006711409396
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5021145833333334
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5910904255319149
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/fblgit/TheBeagle-v2beta-32B-MGS/d0bc11cb-56ff-4c77-9446-e76e550e0919.json b/data/hfopenllm_v2/fblgit/TheBeagle-v2beta-32B-MGS/d0bc11cb-56ff-4c77-9446-e76e550e0919.json
new file mode 100644
index 000000000..6080ab1e6
--- /dev/null
+++ b/data/hfopenllm_v2/fblgit/TheBeagle-v2beta-32B-MGS/d0bc11cb-56ff-4c77-9446-e76e550e0919.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/fblgit_TheBeagle-v2beta-32B-MGS/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "TheBeagle-v2beta-32B-MGS",
+    "id": "fblgit/TheBeagle-v2beta-32B-MGS",
+    "developer": "fblgit",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 32.764
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4503
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7035
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3943
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.401
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5021
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5911
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/fblgit/UNA-SimpleSmaug-34b-v1beta/f98b051e-0984-423d-89c0-352368168d75.json b/data/hfopenllm_v2/fblgit/UNA-SimpleSmaug-34b-v1beta/f98b051e-0984-423d-89c0-352368168d75.json
deleted file mode 100644
index 1998fffe3..000000000
--- a/data/hfopenllm_v2/fblgit/UNA-SimpleSmaug-34b-v1beta/f98b051e-0984-423d-89c0-352368168d75.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/fblgit_UNA-SimpleSmaug-34b-v1beta/1762652580.151433",
-  "retrieved_timestamp": "1762652580.151433",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "fblgit/UNA-SimpleSmaug-34b-v1beta",
-    "developer": "fblgit",
-    "inference_platform": "unknown",
-    "id": "fblgit/UNA-SimpleSmaug-34b-v1beta",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 34.389
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.45562551806983254
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5286654104993475
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.07175226586102719
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.31711409395973156
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4255625
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4539561170212766
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/fblgit/UNA-SimpleSmaug-34b-v1beta/ff78dc97-e9cf-4215-a607-3e80892af82c.json b/data/hfopenllm_v2/fblgit/UNA-SimpleSmaug-34b-v1beta/ff78dc97-e9cf-4215-a607-3e80892af82c.json
new file mode 100644
index 000000000..a5cda2338
--- /dev/null
+++ b/data/hfopenllm_v2/fblgit/UNA-SimpleSmaug-34b-v1beta/ff78dc97-e9cf-4215-a607-3e80892af82c.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/fblgit_UNA-SimpleSmaug-34b-v1beta/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "UNA-SimpleSmaug-34b-v1beta",
+    "id": "fblgit/UNA-SimpleSmaug-34b-v1beta",
+    "developer": "fblgit",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 34.389
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4556
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5287
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0718
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3171
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4256
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.454
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/fblgit/UNA-TheBeagle-7b-v1/0ff1c6ff-5404-4d61-b6c6-f6ef7ae9ca8b.json b/data/hfopenllm_v2/fblgit/UNA-TheBeagle-7b-v1/0ff1c6ff-5404-4d61-b6c6-f6ef7ae9ca8b.json
new file mode 100644
index 000000000..4d873390f
--- /dev/null
+++ b/data/hfopenllm_v2/fblgit/UNA-TheBeagle-7b-v1/0ff1c6ff-5404-4d61-b6c6-f6ef7ae9ca8b.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/fblgit_UNA-TheBeagle-7b-v1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "UNA-TheBeagle-7b-v1",
+    "id": "fblgit/UNA-TheBeagle-7b-v1",
+    "developer": "fblgit",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3689
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5029
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.077
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2844
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4564
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3019
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/fblgit/UNA-TheBeagle-7b-v1/454be483-8a45-4bea-a370-5f5a74a924ea.json b/data/hfopenllm_v2/fblgit/UNA-TheBeagle-7b-v1/454be483-8a45-4bea-a370-5f5a74a924ea.json
deleted file mode 100644
index 29b21cf10..000000000
--- a/data/hfopenllm_v2/fblgit/UNA-TheBeagle-7b-v1/454be483-8a45-4bea-a370-5f5a74a924ea.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/fblgit_UNA-TheBeagle-7b-v1/1762652580.151644",
-  "retrieved_timestamp": "1762652580.151645",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "fblgit/UNA-TheBeagle-7b-v1",
-    "developer": "fblgit",
-    "inference_platform": "unknown",
-    "id": "fblgit/UNA-TheBeagle-7b-v1",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.36887236975669
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5028691097522866
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.0770392749244713
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.28439597315436244
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4564375
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3019448138297872
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/fblgit/UNA-ThePitbull-21.4B-v2/48837141-2556-4658-87e0-bb88cfcd562a.json b/data/hfopenllm_v2/fblgit/UNA-ThePitbull-21.4B-v2/48837141-2556-4658-87e0-bb88cfcd562a.json
new file mode 100644
index 000000000..a60c55895
--- /dev/null
+++ b/data/hfopenllm_v2/fblgit/UNA-ThePitbull-21.4B-v2/48837141-2556-4658-87e0-bb88cfcd562a.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/fblgit_UNA-ThePitbull-21.4B-v2/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "UNA-ThePitbull-21.4B-v2",
+    "id": "fblgit/UNA-ThePitbull-21.4B-v2",
+    "developer": "fblgit",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 21.421
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.379
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.635
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1216
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.302
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3922
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3516
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/fblgit/UNA-ThePitbull-21.4B-v2/afdf8e40-d87a-4a9c-93a7-a65fe2ae732a.json b/data/hfopenllm_v2/fblgit/UNA-ThePitbull-21.4B-v2/afdf8e40-d87a-4a9c-93a7-a65fe2ae732a.json
deleted file mode 100644
index d6e5b27a3..000000000
--- a/data/hfopenllm_v2/fblgit/UNA-ThePitbull-21.4B-v2/afdf8e40-d87a-4a9c-93a7-a65fe2ae732a.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/fblgit_UNA-ThePitbull-21.4B-v2/1762652580.151847",
-  "retrieved_timestamp": "1762652580.151847",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "fblgit/UNA-ThePitbull-21.4B-v2",
-    "developer": "fblgit",
-    "inference_platform": "unknown",
-    "id": "fblgit/UNA-ThePitbull-21.4B-v2",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 21.421
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3790387283518841
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.635038821016254
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1216012084592145
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30201342281879195
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3921666666666666
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3515625
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/fblgit/cybertron-v4-qw7B-MGS/60ac5509-346d-4717-a729-0413fce4b203.json b/data/hfopenllm_v2/fblgit/cybertron-v4-qw7B-MGS/60ac5509-346d-4717-a729-0413fce4b203.json
deleted file mode 100644
index b01451412..000000000
--- a/data/hfopenllm_v2/fblgit/cybertron-v4-qw7B-MGS/60ac5509-346d-4717-a729-0413fce4b203.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/fblgit_cybertron-v4-qw7B-MGS/1762652580.15205",
-  "retrieved_timestamp": "1762652580.152051",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "fblgit/cybertron-v4-qw7B-MGS",
-    "developer": "fblgit",
-    "inference_platform": "unknown",
-    "id": "fblgit/cybertron-v4-qw7B-MGS",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.616
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6263846593704703
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5591772533435835
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.34894259818731116
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3104026845637584
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.43709375
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.44730718085106386
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-}
diff --git a/data/hfopenllm_v2/fblgit/cybertron-v4-qw7B-MGS/f2d6da5d-3685-43de-8ceb-5b798f88e24c.json b/data/hfopenllm_v2/fblgit/cybertron-v4-qw7B-MGS/f2d6da5d-3685-43de-8ceb-5b798f88e24c.json
new file mode 100644
index 000000000..8b3f04151
--- /dev/null
+++ b/data/hfopenllm_v2/fblgit/cybertron-v4-qw7B-MGS/f2d6da5d-3685-43de-8ceb-5b798f88e24c.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/fblgit_cybertron-v4-qw7B-MGS/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "cybertron-v4-qw7B-MGS",
+    "id": "fblgit/cybertron-v4-qw7B-MGS",
+    "developer": "fblgit",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6264
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5592
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3489
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3104
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4371
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4473
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/fblgit/cybertron-v4-qw7B-UNAMGS/8c73c2a6-b2e9-419d-8c00-8a983790ba9b.json b/data/hfopenllm_v2/fblgit/cybertron-v4-qw7B-UNAMGS/8c73c2a6-b2e9-419d-8c00-8a983790ba9b.json
deleted file mode 100644
index b1dd920e8..000000000
--- a/data/hfopenllm_v2/fblgit/cybertron-v4-qw7B-UNAMGS/8c73c2a6-b2e9-419d-8c00-8a983790ba9b.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/fblgit_cybertron-v4-qw7B-UNAMGS/1762652580.1522481",
-  "retrieved_timestamp": "1762652580.152249",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "fblgit/cybertron-v4-qw7B-UNAMGS",
-    "developer": "fblgit",
-    "inference_platform": "unknown",
-    "id": "fblgit/cybertron-v4-qw7B-UNAMGS",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.616
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6090240561709597
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5642509108139038
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3731117824773414
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3313758389261745
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4343333333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4500498670212766
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/fblgit/cybertron-v4-qw7B-UNAMGS/9ec02ccd-329a-4d62-9f04-87de6fda5011.json b/data/hfopenllm_v2/fblgit/cybertron-v4-qw7B-UNAMGS/9ec02ccd-329a-4d62-9f04-87de6fda5011.json
new file mode 100644
index 000000000..4e95a568a
--- /dev/null
+++ b/data/hfopenllm_v2/fblgit/cybertron-v4-qw7B-UNAMGS/9ec02ccd-329a-4d62-9f04-87de6fda5011.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/fblgit_cybertron-v4-qw7B-UNAMGS/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "cybertron-v4-qw7B-UNAMGS",
+    "id": "fblgit/cybertron-v4-qw7B-UNAMGS",
+    "developer": "fblgit",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.609
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5643
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3731
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3314
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4343
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.45
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/fblgit/juanako-7b-UNA/781d0332-e332-4ff7-8585-9c2d8395a147.json b/data/hfopenllm_v2/fblgit/juanako-7b-UNA/781d0332-e332-4ff7-8585-9c2d8395a147.json
new file mode 100644
index 000000000..0a2dc5709
--- /dev/null
+++ b/data/hfopenllm_v2/fblgit/juanako-7b-UNA/781d0332-e332-4ff7-8585-9c2d8395a147.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/fblgit_juanako-7b-UNA/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "juanako-7b-UNA",
+    "id": "fblgit/juanako-7b-UNA",
+    "developer": "fblgit",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4837
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.507
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.034
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2961
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4645
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2771
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/fblgit/juanako-7b-UNA/f61e534a-06b4-4558-8ee6-227ad1e97699.json b/data/hfopenllm_v2/fblgit/juanako-7b-UNA/f61e534a-06b4-4558-8ee6-227ad1e97699.json
deleted file mode 100644
index 562ee91b8..000000000
--- a/data/hfopenllm_v2/fblgit/juanako-7b-UNA/f61e534a-06b4-4558-8ee6-227ad1e97699.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/fblgit_juanako-7b-UNA/1762652580.1524491",
-  "retrieved_timestamp": "1762652580.15245",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "fblgit/juanako-7b-UNA",
-    "developer": "fblgit",
-    "inference_platform": "unknown",
-    "id": "fblgit/juanako-7b-UNA",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4837276204914073
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.507001145736535
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.033987915407854986
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2961409395973154
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.46449999999999997
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.277094414893617
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/fblgit/miniclaus-qw1.5B-UNAMGS-GRPO/a1d14150-3b2e-489f-8d18-8894862e9ab0.json b/data/hfopenllm_v2/fblgit/miniclaus-qw1.5B-UNAMGS-GRPO/a1d14150-3b2e-489f-8d18-8894862e9ab0.json
deleted file mode 100644
index 4400694d3..000000000
--- a/data/hfopenllm_v2/fblgit/miniclaus-qw1.5B-UNAMGS-GRPO/a1d14150-3b2e-489f-8d18-8894862e9ab0.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/fblgit_miniclaus-qw1.5B-UNAMGS-GRPO/1762652580.153163",
-  "retrieved_timestamp": "1762652580.1531641",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "fblgit/miniclaus-qw1.5B-UNAMGS-GRPO",
-    "developer": "fblgit",
-    "inference_platform": "unknown",
-    "id": "fblgit/miniclaus-qw1.5B-UNAMGS-GRPO",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 1.544
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3518364605912313
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.423443453814005
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11027190332326284
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2978187919463087
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42543749999999997
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2945478723404255
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/fblgit/miniclaus-qw1.5B-UNAMGS-GRPO/d6dd460e-c352-4d31-8941-183c6eabd0a7.json b/data/hfopenllm_v2/fblgit/miniclaus-qw1.5B-UNAMGS-GRPO/d6dd460e-c352-4d31-8941-183c6eabd0a7.json
new file mode 100644
index 000000000..5152ad99c
--- /dev/null
+++ b/data/hfopenllm_v2/fblgit/miniclaus-qw1.5B-UNAMGS-GRPO/d6dd460e-c352-4d31-8941-183c6eabd0a7.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/fblgit_miniclaus-qw1.5B-UNAMGS-GRPO/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "miniclaus-qw1.5B-UNAMGS-GRPO",
+    "id": "fblgit/miniclaus-qw1.5B-UNAMGS-GRPO",
+    "developer": "fblgit",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 1.544
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3518
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4234
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1103
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2978
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4254
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2945
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/fblgit/miniclaus-qw1.5B-UNAMGS/4b337805-4bd3-4106-bcde-adb7a6fbec23.json b/data/hfopenllm_v2/fblgit/miniclaus-qw1.5B-UNAMGS/4b337805-4bd3-4106-bcde-adb7a6fbec23.json
deleted file mode 100644
index 3150b30a1..000000000
--- a/data/hfopenllm_v2/fblgit/miniclaus-qw1.5B-UNAMGS/4b337805-4bd3-4106-bcde-adb7a6fbec23.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/fblgit_miniclaus-qw1.5B-UNAMGS/1762652580.152649",
-  "retrieved_timestamp": "1762652580.152649",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "fblgit/miniclaus-qw1.5B-UNAMGS",
-    "developer": "fblgit",
-    "inference_platform": "unknown",
-    "id": "fblgit/miniclaus-qw1.5B-UNAMGS",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 1.777
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3348005514257725
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4238588294007628
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.10876132930513595
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.29194630872483224
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42934374999999997
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2937167553191489
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/fblgit/miniclaus-qw1.5B-UNAMGS/66bf6442-04ea-437b-88c4-e61afc6f7139.json b/data/hfopenllm_v2/fblgit/miniclaus-qw1.5B-UNAMGS/66bf6442-04ea-437b-88c4-e61afc6f7139.json
new file mode 100644
index 000000000..5d5d165d7
--- /dev/null
+++ b/data/hfopenllm_v2/fblgit/miniclaus-qw1.5B-UNAMGS/66bf6442-04ea-437b-88c4-e61afc6f7139.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/fblgit_miniclaus-qw1.5B-UNAMGS/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "miniclaus-qw1.5B-UNAMGS",
+    "id": "fblgit/miniclaus-qw1.5B-UNAMGS",
+    "developer": "fblgit",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 1.777
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3348
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4239
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1088
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2919
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4293
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2937
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/fblgit/pancho-v1-qw25-3B-UNAMGS/0d1911f5-a2e7-4511-a8d8-098cbf9207df.json b/data/hfopenllm_v2/fblgit/pancho-v1-qw25-3B-UNAMGS/0d1911f5-a2e7-4511-a8d8-098cbf9207df.json
new file mode 100644
index 000000000..2dcb46652
--- /dev/null
+++ b/data/hfopenllm_v2/fblgit/pancho-v1-qw25-3B-UNAMGS/0d1911f5-a2e7-4511-a8d8-098cbf9207df.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/fblgit_pancho-v1-qw25-3B-UNAMGS/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "pancho-v1-qw25-3B-UNAMGS",
+    "id": "fblgit/pancho-v1-qw25-3B-UNAMGS",
+    "developer": "fblgit",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 3.397
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5361
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4926
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1571
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.297
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4027
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3766
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/fblgit/pancho-v1-qw25-3B-UNAMGS/701cb3af-8916-47ab-b118-1cd778a23e66.json b/data/hfopenllm_v2/fblgit/pancho-v1-qw25-3B-UNAMGS/701cb3af-8916-47ab-b118-1cd778a23e66.json
deleted file mode 100644
index 971442ff0..000000000
--- a/data/hfopenllm_v2/fblgit/pancho-v1-qw25-3B-UNAMGS/701cb3af-8916-47ab-b118-1cd778a23e66.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/fblgit_pancho-v1-qw25-3B-UNAMGS/1762652580.153452",
-  "retrieved_timestamp": "1762652580.153453",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "fblgit/pancho-v1-qw25-3B-UNAMGS",
-    "developer": "fblgit",
-    "inference_platform": "unknown",
-    "id": "fblgit/pancho-v1-qw25-3B-UNAMGS",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 3.397
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.536134124123991
-      }
-    },
-    {
-      "evaluation_name": "BBH",
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diff --git a/data/hfopenllm_v2/fblgit/una-cybertron-7b-v2-bf16/8fc3e145-958b-4f25-bfab-4364bcdfeeb1.json b/data/hfopenllm_v2/fblgit/una-cybertron-7b-v2-bf16/8fc3e145-958b-4f25-bfab-4364bcdfeeb1.json
deleted file mode 100644
index d9c32c4ca..000000000
--- a/data/hfopenllm_v2/fblgit/una-cybertron-7b-v2-bf16/8fc3e145-958b-4f25-bfab-4364bcdfeeb1.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/fblgit_una-cybertron-7b-v2-bf16/1762652580.153698",
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-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
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-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "fblgit/una-cybertron-7b-v2-bf16",
-    "developer": "fblgit",
-    "inference_platform": "unknown",
-    "id": "fblgit/una-cybertron-7b-v2-bf16",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
-    }
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-  "evaluation_results": [
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-        "score_type": "continuous",
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-      "score_details": {
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-        "score_type": "continuous",
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-      "score_details": {
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-    {
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-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/fblgit/una-cybertron-7b-v2-bf16/abc18648-ef96-4695-94d5-fa14be277431.json b/data/hfopenllm_v2/fblgit/una-cybertron-7b-v2-bf16/abc18648-ef96-4695-94d5-fa14be277431.json
new file mode 100644
index 000000000..56fbad07e
--- /dev/null
+++ b/data/hfopenllm_v2/fblgit/una-cybertron-7b-v2-bf16/abc18648-ef96-4695-94d5-fa14be277431.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/fblgit_una-cybertron-7b-v2-bf16/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "una-cybertron-7b-v2-bf16",
+    "id": "fblgit/una-cybertron-7b-v2-bf16",
+    "developer": "fblgit",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4737
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3973
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0408
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2978
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4473
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2443
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/fhai50032/RolePlayLake-7B/af85e87f-1308-4968-850a-27382f36a63a.json b/data/hfopenllm_v2/fhai50032/RolePlayLake-7B/af85e87f-1308-4968-850a-27382f36a63a.json
deleted file mode 100644
index edb3c667d..000000000
--- a/data/hfopenllm_v2/fhai50032/RolePlayLake-7B/af85e87f-1308-4968-850a-27382f36a63a.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "retrieved_timestamp": "1762652580.153995",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
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-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "fhai50032/RolePlayLake-7B",
-    "developer": "fhai50032",
-    "inference_platform": "unknown",
-    "id": "fhai50032/RolePlayLake-7B",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
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-  },
-  "evaluation_results": [
-    {
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-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
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-    {
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3036912751677852
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4459270833333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3159906914893617
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/fhai50032/RolePlayLake-7B/ff1e7aaa-3f29-4192-a0e0-80fcd11ba055.json b/data/hfopenllm_v2/fhai50032/RolePlayLake-7B/ff1e7aaa-3f29-4192-a0e0-80fcd11ba055.json
new file mode 100644
index 000000000..5c8be692e
--- /dev/null
+++ b/data/hfopenllm_v2/fhai50032/RolePlayLake-7B/ff1e7aaa-3f29-4192-a0e0-80fcd11ba055.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/fhai50032_RolePlayLake-7B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "RolePlayLake-7B",
+    "id": "fhai50032/RolePlayLake-7B",
+    "developer": "fhai50032",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5057
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5252
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0725
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3037
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4459
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.316
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/fhai50032/Unaligned-Thinker-PHI-4/cc8ef5bd-957f-4308-9539-00a696182056.json b/data/hfopenllm_v2/fhai50032/Unaligned-Thinker-PHI-4/cc8ef5bd-957f-4308-9539-00a696182056.json
new file mode 100644
index 000000000..97e284a57
--- /dev/null
+++ b/data/hfopenllm_v2/fhai50032/Unaligned-Thinker-PHI-4/cc8ef5bd-957f-4308-9539-00a696182056.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/fhai50032_Unaligned-Thinker-PHI-4/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Unaligned-Thinker-PHI-4",
+    "id": "fhai50032/Unaligned-Thinker-PHI-4",
+    "developer": "fhai50032",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 14.66
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0563
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6643
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3353
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3809
+      }
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diff --git a/data/hfopenllm_v2/flammenai/Llama3.1-Flammades-70B/abc7652f-b88e-40ba-847c-c99dce9f2719.json b/data/hfopenllm_v2/flammenai/Llama3.1-Flammades-70B/abc7652f-b88e-40ba-847c-c99dce9f2719.json
new file mode 100644
index 000000000..791c615fd
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diff --git a/data/hfopenllm_v2/flammenai/Mahou-1.2a-llama3-8B/56e36294-e616-45a1-8dc9-2c14cf3ee8d0.json b/data/hfopenllm_v2/flammenai/Mahou-1.2a-llama3-8B/56e36294-e616-45a1-8dc9-2c14cf3ee8d0.json
new file mode 100644
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diff --git a/data/hfopenllm_v2/flammenai/Mahou-1.2a-mistral-7B/4b81caad-92ed-4bd5-98bd-58582854b5d8.json b/data/hfopenllm_v2/flammenai/Mahou-1.2a-mistral-7B/4b81caad-92ed-4bd5-98bd-58582854b5d8.json
new file mode 100644
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/flammenai/Mahou-1.5-llama3.1-70B/2cef0040-6d4c-4c38-be40-5477911f3063.json b/data/hfopenllm_v2/flammenai/Mahou-1.5-llama3.1-70B/2cef0040-6d4c-4c38-be40-5477911f3063.json
new file mode 100644
index 000000000..5ef38b931
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/flammenai/Mahou-1.5-mistral-nemo-12B/4aeef94f-823e-4be5-b4f1-37463e052748.json b/data/hfopenllm_v2/flammenai/Mahou-1.5-mistral-nemo-12B/4aeef94f-823e-4be5-b4f1-37463e052748.json
new file mode 100644
index 000000000..818a33929
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+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5522
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0869
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.276
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.452
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3602
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/flammenai/flammen15-gutenberg-DPO-v1-7B/1244b8d9-e832-4f2b-8ae5-52449f6ac38c.json b/data/hfopenllm_v2/flammenai/flammen15-gutenberg-DPO-v1-7B/1244b8d9-e832-4f2b-8ae5-52449f6ac38c.json
deleted file mode 100644
index b76160886..000000000
--- a/data/hfopenllm_v2/flammenai/flammen15-gutenberg-DPO-v1-7B/1244b8d9-e832-4f2b-8ae5-52449f6ac38c.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/flammenai_flammen15-gutenberg-DPO-v1-7B/1762652580.155953",
-  "retrieved_timestamp": "1762652580.155954",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "flammenai/flammen15-gutenberg-DPO-v1-7B",
-    "developer": "flammenai",
-    "inference_platform": "unknown",
-    "id": "flammenai/flammen15-gutenberg-DPO-v1-7B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.47980580415519714
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5202983979716951
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.07628398791540786
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.28439597315436244
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4293125
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3185671542553192
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/flammenai/flammen15-gutenberg-DPO-v1-7B/3d367147-373f-4543-be19-55a6429558a2.json b/data/hfopenllm_v2/flammenai/flammen15-gutenberg-DPO-v1-7B/3d367147-373f-4543-be19-55a6429558a2.json
new file mode 100644
index 000000000..fd18593b8
--- /dev/null
+++ b/data/hfopenllm_v2/flammenai/flammen15-gutenberg-DPO-v1-7B/3d367147-373f-4543-be19-55a6429558a2.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/flammenai_flammen15-gutenberg-DPO-v1-7B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "flammen15-gutenberg-DPO-v1-7B",
+    "id": "flammenai/flammen15-gutenberg-DPO-v1-7B",
+    "developer": "flammenai",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4798
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5203
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0763
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2844
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4293
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3186
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/fluently-lm/FluentlyLM-Prinum/950d2518-7245-4ed4-9b16-91f944aa8f15.json b/data/hfopenllm_v2/fluently-lm/FluentlyLM-Prinum/950d2518-7245-4ed4-9b16-91f944aa8f15.json
deleted file mode 100644
index 0d1c625bb..000000000
--- a/data/hfopenllm_v2/fluently-lm/FluentlyLM-Prinum/950d2518-7245-4ed4-9b16-91f944aa8f15.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/fluently-lm_FluentlyLM-Prinum/1762652580.156252",
-  "retrieved_timestamp": "1762652580.1562529",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "fluently-lm/FluentlyLM-Prinum",
-    "developer": "fluently-lm",
-    "inference_platform": "unknown",
-    "id": "fluently-lm/FluentlyLM-Prinum",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 32.764
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.809033364805383
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7143813967889198
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5400302114803626
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.38674496644295303
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.44714583333333335
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5807845744680851
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/fluently-lm/FluentlyLM-Prinum/cb93091a-6c46-438a-b111-cbf7e2fac420.json b/data/hfopenllm_v2/fluently-lm/FluentlyLM-Prinum/cb93091a-6c46-438a-b111-cbf7e2fac420.json
new file mode 100644
index 000000000..921cf029a
--- /dev/null
+++ b/data/hfopenllm_v2/fluently-lm/FluentlyLM-Prinum/cb93091a-6c46-438a-b111-cbf7e2fac420.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/fluently-lm_FluentlyLM-Prinum/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "FluentlyLM-Prinum",
+    "id": "fluently-lm/FluentlyLM-Prinum",
+    "developer": "fluently-lm",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 32.764
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.809
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7144
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.54
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3867
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4471
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5808
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/fluently-lm/Llama-TI-8B-Instruct/47960f3f-b39c-4641-8a94-fb70f9a6a53f.json b/data/hfopenllm_v2/fluently-lm/Llama-TI-8B-Instruct/47960f3f-b39c-4641-8a94-fb70f9a6a53f.json
deleted file mode 100644
index 552b1a0db..000000000
--- a/data/hfopenllm_v2/fluently-lm/Llama-TI-8B-Instruct/47960f3f-b39c-4641-8a94-fb70f9a6a53f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/fluently-lm_Llama-TI-8B-Instruct/1762652580.156872",
-  "retrieved_timestamp": "1762652580.156876",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "fluently-lm/Llama-TI-8B-Instruct",
-    "developer": "fluently-lm",
-    "inference_platform": "unknown",
-    "id": "fluently-lm/Llama-TI-8B-Instruct",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7716392505219485
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5252143041749421
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.23036253776435045
-      }
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diff --git a/data/hfopenllm_v2/fluently-lm/Llama-TI-8B-Instruct/ea6048f1-8be4-4ec8-a5d5-35ff1523d74a.json b/data/hfopenllm_v2/fluently-lm/Llama-TI-8B-Instruct/ea6048f1-8be4-4ec8-a5d5-35ff1523d74a.json
new file mode 100644
index 000000000..9c0f198a8
--- /dev/null
+++ b/data/hfopenllm_v2/fluently-lm/Llama-TI-8B-Instruct/ea6048f1-8be4-4ec8-a5d5-35ff1523d74a.json
@@ -0,0 +1,132 @@
+{
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+    "source_type": "documentation",
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+  },
+  "model_info": {
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+    "id": "fluently-lm/Llama-TI-8B-Instruct",
+    "developer": "fluently-lm",
+    "inference_platform": "unknown",
+    "additional_details": {
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+      "architecture": "LlamaForCausalLM",
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+        "min_score": 0.0,
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+      },
+      "metric_config": {
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+        "evaluation_description": "Accuracy on MUSR",
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+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
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+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/fluently-lm/Llama-TI-8B/f4dc1659-800f-49d2-a290-48e9d4b15581.json b/data/hfopenllm_v2/fluently-lm/Llama-TI-8B/f4dc1659-800f-49d2-a290-48e9d4b15581.json
new file mode 100644
index 000000000..bacff0c4e
--- /dev/null
+++ b/data/hfopenllm_v2/fluently-lm/Llama-TI-8B/f4dc1659-800f-49d2-a290-48e9d4b15581.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/fluently-lm_Llama-TI-8B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-TI-8B",
+    "id": "fluently-lm/Llama-TI-8B",
+    "developer": "fluently-lm",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5201
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+      },
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+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/fluently-sets/FalconThink3-10B-IT/9329922e-7594-497d-bfab-9c8a18300dc9.json b/data/hfopenllm_v2/fluently-sets/FalconThink3-10B-IT/9329922e-7594-497d-bfab-9c8a18300dc9.json
deleted file mode 100644
index 1efa1b09a..000000000
--- a/data/hfopenllm_v2/fluently-sets/FalconThink3-10B-IT/9329922e-7594-497d-bfab-9c8a18300dc9.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "model_info": {
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-    "developer": "fluently-sets",
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-}
diff --git a/data/hfopenllm_v2/fluently-sets/FalconThink3-10B-IT/d4d8a784-5bd5-4437-8e0d-75dcb967ae33.json b/data/hfopenllm_v2/fluently-sets/FalconThink3-10B-IT/d4d8a784-5bd5-4437-8e0d-75dcb967ae33.json
new file mode 100644
index 000000000..9c1acfca1
--- /dev/null
+++ b/data/hfopenllm_v2/fluently-sets/FalconThink3-10B-IT/d4d8a784-5bd5-4437-8e0d-75dcb967ae33.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/fluently-sets_FalconThink3-10B-IT/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "FalconThink3-10B-IT",
+    "id": "fluently-sets/FalconThink3-10B-IT",
+    "developer": "fluently-sets",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 10.306
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
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+      },
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+    },
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
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+    },
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3347
+      }
+    },
+    {
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+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4479
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+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4435
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/fluently-sets/reasoning-1-1k-demo/91017e73-f33a-49f5-ac87-f6e6a178d885.json b/data/hfopenllm_v2/fluently-sets/reasoning-1-1k-demo/91017e73-f33a-49f5-ac87-f6e6a178d885.json
new file mode 100644
index 000000000..3cfba9c12
--- /dev/null
+++ b/data/hfopenllm_v2/fluently-sets/reasoning-1-1k-demo/91017e73-f33a-49f5-ac87-f6e6a178d885.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/fluently-sets_reasoning-1-1k-demo/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "reasoning-1-1k-demo",
+    "id": "fluently-sets/reasoning-1-1k-demo",
+    "developer": "fluently-sets",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.77
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+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
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+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7525
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6397
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4282
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+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3356
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4061
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4774
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/fluently-sets/reasoning-1-1k-demo/c63fc7e4-87ae-4516-ad3d-df95693133d5.json b/data/hfopenllm_v2/fluently-sets/reasoning-1-1k-demo/c63fc7e4-87ae-4516-ad3d-df95693133d5.json
deleted file mode 100644
index 06eba7f85..000000000
--- a/data/hfopenllm_v2/fluently-sets/reasoning-1-1k-demo/c63fc7e4-87ae-4516-ad3d-df95693133d5.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/fluently-sets_reasoning-1-1k-demo/1762652580.157624",
-  "retrieved_timestamp": "1762652580.1576252",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "fluently-sets/reasoning-1-1k-demo",
-    "developer": "fluently-sets",
-    "inference_platform": "unknown",
-    "id": "fluently-sets/reasoning-1-1k-demo",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 14.77
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7524800861713586
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6396692351083745
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4282477341389728
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.33557046979865773
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4060625
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4773936170212766
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/formulae/mita-elite-sce-gen1.1-v1-7b-2-26-2025-exp/936751f5-4483-4986-9a8c-cb002feb8858.json b/data/hfopenllm_v2/formulae/mita-elite-sce-gen1.1-v1-7b-2-26-2025-exp/936751f5-4483-4986-9a8c-cb002feb8858.json
deleted file mode 100644
index 9e650aed0..000000000
--- a/data/hfopenllm_v2/formulae/mita-elite-sce-gen1.1-v1-7b-2-26-2025-exp/936751f5-4483-4986-9a8c-cb002feb8858.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/formulae_mita-elite-sce-gen1.1-v1-7b-2-26-2025-exp/1762652580.1578538",
-  "retrieved_timestamp": "1762652580.157855",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "formulae/mita-elite-sce-gen1.1-v1-7b-2-26-2025-exp",
-    "developer": "formulae",
-    "inference_platform": "unknown",
-    "id": "formulae/mita-elite-sce-gen1.1-v1-7b-2-26-2025-exp",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.616
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.16139288199754429
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.29763925404210967
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.0015105740181268882
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2533557046979866
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4219375
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11735372340425532
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/formulae/mita-elite-sce-gen1.1-v1-7b-2-26-2025-exp/b7a75bca-6afe-448a-8e5c-53ebd577c964.json b/data/hfopenllm_v2/formulae/mita-elite-sce-gen1.1-v1-7b-2-26-2025-exp/b7a75bca-6afe-448a-8e5c-53ebd577c964.json
new file mode 100644
index 000000000..dc662457b
--- /dev/null
+++ b/data/hfopenllm_v2/formulae/mita-elite-sce-gen1.1-v1-7b-2-26-2025-exp/b7a75bca-6afe-448a-8e5c-53ebd577c964.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/formulae_mita-elite-sce-gen1.1-v1-7b-2-26-2025-exp/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "mita-elite-sce-gen1.1-v1-7b-2-26-2025-exp",
+    "id": "formulae/mita-elite-sce-gen1.1-v1-7b-2-26-2025-exp",
+    "developer": "formulae",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1614
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2976
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0015
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2534
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4219
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1174
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/formulae/mita-elite-v1.1-7b-2-25-2025/7352f47c-8b57-477f-8190-b08b5b23dfb5.json b/data/hfopenllm_v2/formulae/mita-elite-v1.1-7b-2-25-2025/7352f47c-8b57-477f-8190-b08b5b23dfb5.json
deleted file mode 100644
index e726f2d9f..000000000
--- a/data/hfopenllm_v2/formulae/mita-elite-v1.1-7b-2-25-2025/7352f47c-8b57-477f-8190-b08b5b23dfb5.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/formulae_mita-elite-v1.1-7b-2-25-2025/1762652580.158112",
-  "retrieved_timestamp": "1762652580.158113",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "formulae/mita-elite-v1.1-7b-2-25-2025",
-    "developer": "formulae",
-    "inference_platform": "unknown",
-    "id": "formulae/mita-elite-v1.1-7b-2-25-2025",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.616
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1249728498162653
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.28673660666639783
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.0
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2483221476510067
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3487291666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.10979055851063829
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/formulae/mita-elite-v1.1-7b-2-25-2025/8cdced5c-23bc-4426-a0c9-b9bf82913683.json b/data/hfopenllm_v2/formulae/mita-elite-v1.1-7b-2-25-2025/8cdced5c-23bc-4426-a0c9-b9bf82913683.json
new file mode 100644
index 000000000..735daf408
--- /dev/null
+++ b/data/hfopenllm_v2/formulae/mita-elite-v1.1-7b-2-25-2025/8cdced5c-23bc-4426-a0c9-b9bf82913683.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/formulae_mita-elite-v1.1-7b-2-25-2025/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "mita-elite-v1.1-7b-2-25-2025",
+    "id": "formulae/mita-elite-v1.1-7b-2-25-2025",
+    "developer": "formulae",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.125
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2867
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2483
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3487
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1098
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/formulae/mita-elite-v1.1-gen2-7b-2-25-2025/106c33d2-84fb-4ea3-b2d3-78981834fdb0.json b/data/hfopenllm_v2/formulae/mita-elite-v1.1-gen2-7b-2-25-2025/106c33d2-84fb-4ea3-b2d3-78981834fdb0.json
deleted file mode 100644
index eced4eb1e..000000000
--- a/data/hfopenllm_v2/formulae/mita-elite-v1.1-gen2-7b-2-25-2025/106c33d2-84fb-4ea3-b2d3-78981834fdb0.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/formulae_mita-elite-v1.1-gen2-7b-2-25-2025/1762652580.158336",
-  "retrieved_timestamp": "1762652580.158336",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "formulae/mita-elite-v1.1-gen2-7b-2-25-2025",
-    "developer": "formulae",
-    "inference_platform": "unknown",
-    "id": "formulae/mita-elite-v1.1-gen2-7b-2-25-2025",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.616
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.14108454456397912
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.292375183445424
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.0
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2525167785234899
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.35409375000000004
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11012300531914894
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/formulae/mita-elite-v1.1-gen2-7b-2-25-2025/368784c8-6fc2-4340-8277-a6a9a9800a99.json b/data/hfopenllm_v2/formulae/mita-elite-v1.1-gen2-7b-2-25-2025/368784c8-6fc2-4340-8277-a6a9a9800a99.json
new file mode 100644
index 000000000..c6044805f
--- /dev/null
+++ b/data/hfopenllm_v2/formulae/mita-elite-v1.1-gen2-7b-2-25-2025/368784c8-6fc2-4340-8277-a6a9a9800a99.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/formulae_mita-elite-v1.1-gen2-7b-2-25-2025/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "mita-elite-v1.1-gen2-7b-2-25-2025",
+    "id": "formulae/mita-elite-v1.1-gen2-7b-2-25-2025",
+    "developer": "formulae",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1411
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2924
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2525
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3541
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1101
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/formulae/mita-elite-v1.2-7b-2-26-2025/761560dc-3a0b-481f-8ec2-4d1ea97cfa6f.json b/data/hfopenllm_v2/formulae/mita-elite-v1.2-7b-2-26-2025/761560dc-3a0b-481f-8ec2-4d1ea97cfa6f.json
deleted file mode 100644
index c0b55f915..000000000
--- a/data/hfopenllm_v2/formulae/mita-elite-v1.2-7b-2-26-2025/761560dc-3a0b-481f-8ec2-4d1ea97cfa6f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/formulae_mita-elite-v1.2-7b-2-26-2025/1762652580.158752",
-  "retrieved_timestamp": "1762652580.158756",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "formulae/mita-elite-v1.2-7b-2-26-2025",
-    "developer": "formulae",
-    "inference_platform": "unknown",
-    "id": "formulae/mita-elite-v1.2-7b-2-26-2025",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.616
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.14800396281865452
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.29300480737441686
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.0022658610271903325
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.27432885906040266
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4286666666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1186003989361702
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/formulae/mita-elite-v1.2-7b-2-26-2025/f7ddf26b-4b4c-404b-b9d3-6ceaf78d39aa.json b/data/hfopenllm_v2/formulae/mita-elite-v1.2-7b-2-26-2025/f7ddf26b-4b4c-404b-b9d3-6ceaf78d39aa.json
new file mode 100644
index 000000000..218786c8e
--- /dev/null
+++ b/data/hfopenllm_v2/formulae/mita-elite-v1.2-7b-2-26-2025/f7ddf26b-4b4c-404b-b9d3-6ceaf78d39aa.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/formulae_mita-elite-v1.2-7b-2-26-2025/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "mita-elite-v1.2-7b-2-26-2025",
+    "id": "formulae/mita-elite-v1.2-7b-2-26-2025",
+    "developer": "formulae",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.148
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.293
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0023
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2743
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4287
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1186
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/formulae/mita-gen3-7b-2-26-2025/0aa40e02-762d-4a80-932f-f967057c4f50.json b/data/hfopenllm_v2/formulae/mita-gen3-7b-2-26-2025/0aa40e02-762d-4a80-932f-f967057c4f50.json
deleted file mode 100644
index d7079584f..000000000
--- a/data/hfopenllm_v2/formulae/mita-gen3-7b-2-26-2025/0aa40e02-762d-4a80-932f-f967057c4f50.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/formulae_mita-gen3-7b-2-26-2025/1762652580.159164",
-  "retrieved_timestamp": "1762652580.159165",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "formulae/mita-gen3-7b-2-26-2025",
-    "developer": "formulae",
-    "inference_platform": "unknown",
-    "id": "formulae/mita-gen3-7b-2-26-2025",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.616
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1964144026737944
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2915705776174771
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.0022658610271903325
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2651006711409396
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3912083333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11236702127659574
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/formulae/mita-gen3-7b-2-26-2025/f423b0d1-3536-4865-9615-f89b9d15b14c.json b/data/hfopenllm_v2/formulae/mita-gen3-7b-2-26-2025/f423b0d1-3536-4865-9615-f89b9d15b14c.json
new file mode 100644
index 000000000..45585cf79
--- /dev/null
+++ b/data/hfopenllm_v2/formulae/mita-gen3-7b-2-26-2025/f423b0d1-3536-4865-9615-f89b9d15b14c.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/formulae_mita-gen3-7b-2-26-2025/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "mita-gen3-7b-2-26-2025",
+    "id": "formulae/mita-gen3-7b-2-26-2025",
+    "developer": "formulae",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1964
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2916
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0023
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2651
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3912
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1124
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/formulae/mita-gen3-v1.2-7b-2-26-2025/a28f8779-d2df-4371-b946-472b335f3ca3.json b/data/hfopenllm_v2/formulae/mita-gen3-v1.2-7b-2-26-2025/a28f8779-d2df-4371-b946-472b335f3ca3.json
deleted file mode 100644
index 1a5064d15..000000000
--- a/data/hfopenllm_v2/formulae/mita-gen3-v1.2-7b-2-26-2025/a28f8779-d2df-4371-b946-472b335f3ca3.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/formulae_mita-gen3-v1.2-7b-2-26-2025/1762652580.15945",
-  "retrieved_timestamp": "1762652580.1594508",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "formulae/mita-gen3-v1.2-7b-2-26-2025",
-    "developer": "formulae",
-    "inference_platform": "unknown",
-    "id": "formulae/mita-gen3-v1.2-7b-2-26-2025",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.616
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2043577707150361
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30577476935056
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.0022658610271903325
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.25922818791946306
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.38999999999999996
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11278257978723404
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/formulae/mita-gen3-v1.2-7b-2-26-2025/c7e8333d-1d79-4cfa-9833-fa42f9fcbb4b.json b/data/hfopenllm_v2/formulae/mita-gen3-v1.2-7b-2-26-2025/c7e8333d-1d79-4cfa-9833-fa42f9fcbb4b.json
new file mode 100644
index 000000000..edcc1062c
--- /dev/null
+++ b/data/hfopenllm_v2/formulae/mita-gen3-v1.2-7b-2-26-2025/c7e8333d-1d79-4cfa-9833-fa42f9fcbb4b.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/formulae_mita-gen3-v1.2-7b-2-26-2025/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "mita-gen3-v1.2-7b-2-26-2025",
+    "id": "formulae/mita-gen3-v1.2-7b-2-26-2025",
+    "developer": "formulae",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2044
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3058
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0023
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2592
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.39
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1128
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/formulae/mita-math-v2.3-2-25-2025/b6149d15-3e0f-43d2-ae90-eca290a94edb.json b/data/hfopenllm_v2/formulae/mita-math-v2.3-2-25-2025/b6149d15-3e0f-43d2-ae90-eca290a94edb.json
new file mode 100644
index 000000000..e68dfb118
--- /dev/null
+++ b/data/hfopenllm_v2/formulae/mita-math-v2.3-2-25-2025/b6149d15-3e0f-43d2-ae90-eca290a94edb.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/formulae_mita-math-v2.3-2-25-2025/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "mita-math-v2.3-2-25-2025",
+    "id": "formulae/mita-math-v2.3-2-25-2025",
+    "developer": "formulae",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1373
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2949
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2508
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3698
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1118
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/formulae/mita-math-v2.3-2-25-2025/fa005333-c7b5-4494-a8cb-4edb1f7d00b9.json b/data/hfopenllm_v2/formulae/mita-math-v2.3-2-25-2025/fa005333-c7b5-4494-a8cb-4edb1f7d00b9.json
deleted file mode 100644
index 3173171e7..000000000
--- a/data/hfopenllm_v2/formulae/mita-math-v2.3-2-25-2025/fa005333-c7b5-4494-a8cb-4edb1f7d00b9.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/formulae_mita-math-v2.3-2-25-2025/1762652580.159737",
-  "retrieved_timestamp": "1762652580.159738",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "formulae/mita-math-v2.3-2-25-2025",
-    "developer": "formulae",
-    "inference_platform": "unknown",
-    "id": "formulae/mita-math-v2.3-2-25-2025",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.616
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.13733781920858879
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2949403673764691
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.0
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.25083892617449666
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.36975
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11178523936170212
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/formulae/mita-v1-7b/9c629542-6fd0-4cd1-90c7-7f1e95a7a25e.json b/data/hfopenllm_v2/formulae/mita-v1-7b/9c629542-6fd0-4cd1-90c7-7f1e95a7a25e.json
deleted file mode 100644
index c333ba4ea..000000000
--- a/data/hfopenllm_v2/formulae/mita-v1-7b/9c629542-6fd0-4cd1-90c7-7f1e95a7a25e.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/formulae_mita-v1-7b/1762652580.160087",
-  "retrieved_timestamp": "1762652580.160088",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "formulae/mita-v1-7b",
-    "developer": "formulae",
-    "inference_platform": "unknown",
-    "id": "formulae/mita-v1-7b",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.616
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.19723888172271792
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3003216459152819
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.002265861027190332
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.25
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41520833333333335
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1146941489361702
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/formulae/mita-v1-7b/e21f5d83-6b71-488d-ad55-d23268fbd611.json b/data/hfopenllm_v2/formulae/mita-v1-7b/e21f5d83-6b71-488d-ad55-d23268fbd611.json
new file mode 100644
index 000000000..fd92b7206
--- /dev/null
+++ b/data/hfopenllm_v2/formulae/mita-v1-7b/e21f5d83-6b71-488d-ad55-d23268fbd611.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/formulae_mita-v1-7b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "mita-v1-7b",
+    "id": "formulae/mita-v1-7b",
+    "developer": "formulae",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1972
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3003
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0023
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.25
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4152
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1147
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/formulae/mita-v1.1-7b-2-24-2025/332cbdd8-96b7-40d5-87c6-3610dcbcdc54.json b/data/hfopenllm_v2/formulae/mita-v1.1-7b-2-24-2025/332cbdd8-96b7-40d5-87c6-3610dcbcdc54.json
deleted file mode 100644
index 8dace8363..000000000
--- a/data/hfopenllm_v2/formulae/mita-v1.1-7b-2-24-2025/332cbdd8-96b7-40d5-87c6-3610dcbcdc54.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/formulae_mita-v1.1-7b-2-24-2025/1762652580.1604211",
-  "retrieved_timestamp": "1762652580.1604218",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "formulae/mita-v1.1-7b-2-24-2025",
-    "developer": "formulae",
-    "inference_platform": "unknown",
-    "id": "formulae/mita-v1.1-7b-2-24-2025",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.616
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.34122018466557624
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5442430910797442
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4350453172205438
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3145973154362416
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.45569791666666665
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4523769946808511
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/formulae/mita-v1.1-7b-2-24-2025/68e1a42e-4318-4b5a-a45b-2607b7c2fe05.json b/data/hfopenllm_v2/formulae/mita-v1.1-7b-2-24-2025/68e1a42e-4318-4b5a-a45b-2607b7c2fe05.json
new file mode 100644
index 000000000..354c32cae
--- /dev/null
+++ b/data/hfopenllm_v2/formulae/mita-v1.1-7b-2-24-2025/68e1a42e-4318-4b5a-a45b-2607b7c2fe05.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/formulae_mita-v1.1-7b-2-24-2025/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "mita-v1.1-7b-2-24-2025",
+    "id": "formulae/mita-v1.1-7b-2-24-2025",
+    "developer": "formulae",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3412
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5442
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.435
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3146
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4557
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4524
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/formulae/mita-v1.2-7b-2-24-2025/12a03ffb-d66b-4d00-a43b-fd5be80e1b07.json b/data/hfopenllm_v2/formulae/mita-v1.2-7b-2-24-2025/12a03ffb-d66b-4d00-a43b-fd5be80e1b07.json
new file mode 100644
index 000000000..514af2af5
--- /dev/null
+++ b/data/hfopenllm_v2/formulae/mita-v1.2-7b-2-24-2025/12a03ffb-d66b-4d00-a43b-fd5be80e1b07.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/formulae_mita-v1.2-7b-2-24-2025/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "mita-v1.2-7b-2-24-2025",
+    "id": "formulae/mita-v1.2-7b-2-24-2025",
+    "developer": "formulae",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2564
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4919
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4879
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3062
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4344
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3359
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/formulae/mita-v1.2-7b-2-24-2025/a07149d4-66e5-4a0d-b4ae-b696027e821c.json b/data/hfopenllm_v2/formulae/mita-v1.2-7b-2-24-2025/a07149d4-66e5-4a0d-b4ae-b696027e821c.json
deleted file mode 100644
index f8c72597f..000000000
--- a/data/hfopenllm_v2/formulae/mita-v1.2-7b-2-24-2025/a07149d4-66e5-4a0d-b4ae-b696027e821c.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/formulae_mita-v1.2-7b-2-24-2025/1762652580.160727",
-  "retrieved_timestamp": "1762652580.160728",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "formulae/mita-v1.2-7b-2-24-2025",
-    "developer": "formulae",
-    "inference_platform": "unknown",
-    "id": "formulae/mita-v1.2-7b-2-24-2025",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.616
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.256415200556745
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4919464940215105
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4879154078549849
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3062080536912752
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4343958333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.33585438829787234
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/frameai/Loxa-4B/adbad8dc-7d13-44cc-a5c6-e8da1de27c37.json b/data/hfopenllm_v2/frameai/Loxa-4B/adbad8dc-7d13-44cc-a5c6-e8da1de27c37.json
new file mode 100644
index 000000000..3d74cbfc7
--- /dev/null
+++ b/data/hfopenllm_v2/frameai/Loxa-4B/adbad8dc-7d13-44cc-a5c6-e8da1de27c37.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/frameai_Loxa-4B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Loxa-4B",
+    "id": "frameai/Loxa-4B",
+    "developer": "frameai",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 4.018
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4765
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4217
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1095
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2836
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3377
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2802
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/frameai/Loxa-4B/b8ac82ef-a231-43ee-aaf2-23b0830cfbc3.json b/data/hfopenllm_v2/frameai/Loxa-4B/b8ac82ef-a231-43ee-aaf2-23b0830cfbc3.json
deleted file mode 100644
index 35d79e6ae..000000000
--- a/data/hfopenllm_v2/frameai/Loxa-4B/b8ac82ef-a231-43ee-aaf2-23b0830cfbc3.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/frameai_Loxa-4B/1762652580.160984",
-  "retrieved_timestamp": "1762652580.160984",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "frameai/Loxa-4B",
-    "developer": "frameai",
-    "inference_platform": "unknown",
-    "id": "frameai/Loxa-4B",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 4.018
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.47648350820268
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42171373309002896
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1095166163141994
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2835570469798658
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.33765625
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.28016954787234044
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/freewheelin/free-evo-qwen72b-v0.8-re/7fb595e5-abbc-43ff-8135-c4bb4a2ea593.json b/data/hfopenllm_v2/freewheelin/free-evo-qwen72b-v0.8-re/7fb595e5-abbc-43ff-8135-c4bb4a2ea593.json
new file mode 100644
index 000000000..86d886da9
--- /dev/null
+++ b/data/hfopenllm_v2/freewheelin/free-evo-qwen72b-v0.8-re/7fb595e5-abbc-43ff-8135-c4bb4a2ea593.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/freewheelin_free-evo-qwen72b-v0.8-re/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "free-evo-qwen72b-v0.8-re",
+    "id": "freewheelin/free-evo-qwen72b-v0.8-re",
+    "developer": "freewheelin",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 72.288
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5331
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6127
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1805
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3565
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4872
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.487
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/freewheelin/free-solar-evo-v0.1/1bb09da7-1675-4e57-b46a-9791c888ce6f.json b/data/hfopenllm_v2/freewheelin/free-solar-evo-v0.1/1bb09da7-1675-4e57-b46a-9791c888ce6f.json
new file mode 100644
index 000000000..d246d43e9
--- /dev/null
+++ b/data/hfopenllm_v2/freewheelin/free-solar-evo-v0.1/1bb09da7-1675-4e57-b46a-9791c888ce6f.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/freewheelin_free-solar-evo-v0.1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "free-solar-evo-v0.1",
+    "id": "freewheelin/free-solar-evo-v0.1",
+    "developer": "freewheelin",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 10.732
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.205
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4502
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0083
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2911
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4946
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3414
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/freewheelin/free-solar-evo-v0.1/c2438204-5b2b-41ce-aa95-27afad6f61a9.json b/data/hfopenllm_v2/freewheelin/free-solar-evo-v0.1/c2438204-5b2b-41ce-aa95-27afad6f61a9.json
deleted file mode 100644
index 5ddab5ca2..000000000
--- a/data/hfopenllm_v2/freewheelin/free-solar-evo-v0.1/c2438204-5b2b-41ce-aa95-27afad6f61a9.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/freewheelin_free-solar-evo-v0.1/1762652580.16175",
-  "retrieved_timestamp": "1762652580.161752",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-    "name": "freewheelin/free-solar-evo-v0.1",
-    "developer": "freewheelin",
-    "inference_platform": "unknown",
-    "id": "freewheelin/free-solar-evo-v0.1",
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-  "evaluation_results": [
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-      "metric_config": {
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-        "score_type": "continuous",
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-      "score_details": {
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-      "evaluation_name": "MATH Level 5",
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-      "evaluation_name": "GPQA",
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-      "score_details": {
-        "score": 0.2911073825503356
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-    }
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-}
diff --git a/data/hfopenllm_v2/freewheelin/free-solar-evo-v0.11/3ed7dd5a-e431-480a-91a7-5ccd915057e4.json b/data/hfopenllm_v2/freewheelin/free-solar-evo-v0.11/3ed7dd5a-e431-480a-91a7-5ccd915057e4.json
new file mode 100644
index 000000000..75ddbaee6
--- /dev/null
+++ b/data/hfopenllm_v2/freewheelin/free-solar-evo-v0.11/3ed7dd5a-e431-480a-91a7-5ccd915057e4.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/freewheelin_free-solar-evo-v0.11/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "free-solar-evo-v0.11",
+    "id": "freewheelin/free-solar-evo-v0.11",
+    "developer": "freewheelin",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 10.732
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2027
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4545
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0083
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2852
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5052
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3467
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/freewheelin/free-solar-evo-v0.11/d2180e09-02da-48d2-adf6-1710299b272e.json b/data/hfopenllm_v2/freewheelin/free-solar-evo-v0.11/d2180e09-02da-48d2-adf6-1710299b272e.json
deleted file mode 100644
index 0a2cdd3a3..000000000
--- a/data/hfopenllm_v2/freewheelin/free-solar-evo-v0.11/d2180e09-02da-48d2-adf6-1710299b272e.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/freewheelin_free-solar-evo-v0.11/1762652580.1621969",
-  "retrieved_timestamp": "1762652580.162198",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "freewheelin/free-solar-evo-v0.11",
-    "developer": "freewheelin",
-    "inference_platform": "unknown",
-    "id": "freewheelin/free-solar-evo-v0.11",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 10.732
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.20265894493277836
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4545155032474882
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.008308157099697885
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.28523489932885904
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5052187499999999
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.34674202127659576
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/freewheelin/free-solar-evo-v0.13/6f6887bf-961c-4b6b-a285-a78459a46488.json b/data/hfopenllm_v2/freewheelin/free-solar-evo-v0.13/6f6887bf-961c-4b6b-a285-a78459a46488.json
deleted file mode 100644
index d850bdfb9..000000000
--- a/data/hfopenllm_v2/freewheelin/free-solar-evo-v0.13/6f6887bf-961c-4b6b-a285-a78459a46488.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/freewheelin_free-solar-evo-v0.13/1762652580.1624699",
-  "retrieved_timestamp": "1762652580.1624708",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "freewheelin/free-solar-evo-v0.13",
-    "developer": "freewheelin",
-    "inference_platform": "unknown",
-    "id": "freewheelin/free-solar-evo-v0.13",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 10.732
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2320598234905606
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4554839670962904
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.012084592145015106
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.28859060402684567
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.50515625
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.34699135638297873
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/freewheelin/free-solar-evo-v0.13/9cab35b6-d6a7-475e-b715-e4493d07cd92.json b/data/hfopenllm_v2/freewheelin/free-solar-evo-v0.13/9cab35b6-d6a7-475e-b715-e4493d07cd92.json
new file mode 100644
index 000000000..e1d46c7d8
--- /dev/null
+++ b/data/hfopenllm_v2/freewheelin/free-solar-evo-v0.13/9cab35b6-d6a7-475e-b715-e4493d07cd92.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/freewheelin_free-solar-evo-v0.13/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "free-solar-evo-v0.13",
+    "id": "freewheelin/free-solar-evo-v0.13",
+    "developer": "freewheelin",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 10.732
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2321
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4555
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0121
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2886
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5052
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.347
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/fulim/FineLlama-3.1-8B/ef7149ae-8d50-4890-89ae-fb561a86d130.json b/data/hfopenllm_v2/fulim/FineLlama-3.1-8B/ef7149ae-8d50-4890-89ae-fb561a86d130.json
new file mode 100644
index 000000000..9613a08ac
--- /dev/null
+++ b/data/hfopenllm_v2/fulim/FineLlama-3.1-8B/ef7149ae-8d50-4890-89ae-fb561a86d130.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/fulim_FineLlama-3.1-8B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "FineLlama-3.1-8B",
+    "id": "fulim/FineLlama-3.1-8B",
+    "developer": "fulim",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.0
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1439
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4569
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0476
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2928
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3867
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3167
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/gabrielmbmb/SmolLM-1.7B-Instruct-IFEval/3fa14e1f-82a5-4c04-9c76-2a3f6d56aa81.json b/data/hfopenllm_v2/gabrielmbmb/SmolLM-1.7B-Instruct-IFEval/3fa14e1f-82a5-4c04-9c76-2a3f6d56aa81.json
new file mode 100644
index 000000000..690658385
--- /dev/null
+++ b/data/hfopenllm_v2/gabrielmbmb/SmolLM-1.7B-Instruct-IFEval/3fa14e1f-82a5-4c04-9c76-2a3f6d56aa81.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/gabrielmbmb_SmolLM-1.7B-Instruct-IFEval/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "SmolLM-1.7B-Instruct-IFEval",
+    "id": "gabrielmbmb/SmolLM-1.7B-Instruct-IFEval",
+    "developer": "gabrielmbmb",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 1.711
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2306
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3138
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0106
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2534
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3328
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1156
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/gabrielmbmb/SmolLM-1.7B-Instruct-IFEval/6e3decae-f2a9-4f71-9511-76d28a675cc2.json b/data/hfopenllm_v2/gabrielmbmb/SmolLM-1.7B-Instruct-IFEval/6e3decae-f2a9-4f71-9511-76d28a675cc2.json
deleted file mode 100644
index 10a27cadd..000000000
--- a/data/hfopenllm_v2/gabrielmbmb/SmolLM-1.7B-Instruct-IFEval/6e3decae-f2a9-4f71-9511-76d28a675cc2.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/gabrielmbmb_SmolLM-1.7B-Instruct-IFEval/1762652580.162997",
-  "retrieved_timestamp": "1762652580.162998",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "gabrielmbmb/SmolLM-1.7B-Instruct-IFEval",
-    "developer": "gabrielmbmb",
-    "inference_platform": "unknown",
-    "id": "gabrielmbmb/SmolLM-1.7B-Instruct-IFEval",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 1.711
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.23058595637353335
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.313843378282092
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.010574018126888218
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2533557046979866
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.33276041666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11560837765957446
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/gaverfraxz/Meta-Llama-3.1-8B-Instruct-HalfAbliterated-DELLA/3666aa17-279d-4f0b-a6c2-2c8198729df9.json b/data/hfopenllm_v2/gaverfraxz/Meta-Llama-3.1-8B-Instruct-HalfAbliterated-DELLA/3666aa17-279d-4f0b-a6c2-2c8198729df9.json
deleted file mode 100644
index 4147e1a0b..000000000
--- a/data/hfopenllm_v2/gaverfraxz/Meta-Llama-3.1-8B-Instruct-HalfAbliterated-DELLA/3666aa17-279d-4f0b-a6c2-2c8198729df9.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/gaverfraxz_Meta-Llama-3.1-8B-Instruct-HalfAbliterated-DELLA/1762652580.163272",
-  "retrieved_timestamp": "1762652580.1632729",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "gaverfraxz/Meta-Llama-3.1-8B-Instruct-HalfAbliterated-DELLA",
-    "developer": "gaverfraxz",
-    "inference_platform": "unknown",
-    "id": "gaverfraxz/Meta-Llama-3.1-8B-Instruct-HalfAbliterated-DELLA",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.40094615619888563
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3984844272016949
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.019637462235649546
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.28439597315436244
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.36504166666666665
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.16539228723404256
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/gaverfraxz/Meta-Llama-3.1-8B-Instruct-HalfAbliterated-DELLA/4418c7d1-72da-4ed3-9d5c-9d8520f6641c.json b/data/hfopenllm_v2/gaverfraxz/Meta-Llama-3.1-8B-Instruct-HalfAbliterated-DELLA/4418c7d1-72da-4ed3-9d5c-9d8520f6641c.json
new file mode 100644
index 000000000..f193f5a9b
--- /dev/null
+++ b/data/hfopenllm_v2/gaverfraxz/Meta-Llama-3.1-8B-Instruct-HalfAbliterated-DELLA/4418c7d1-72da-4ed3-9d5c-9d8520f6641c.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/gaverfraxz_Meta-Llama-3.1-8B-Instruct-HalfAbliterated-DELLA/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Meta-Llama-3.1-8B-Instruct-HalfAbliterated-DELLA",
+    "id": "gaverfraxz/Meta-Llama-3.1-8B-Instruct-HalfAbliterated-DELLA",
+    "developer": "gaverfraxz",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4009
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3985
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0196
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2844
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.365
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1654
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/gaverfraxz/Meta-Llama-3.1-8B-Instruct-HalfAbliterated-TIES/83a638be-6f3d-4d5b-b1de-6515634aebbd.json b/data/hfopenllm_v2/gaverfraxz/Meta-Llama-3.1-8B-Instruct-HalfAbliterated-TIES/83a638be-6f3d-4d5b-b1de-6515634aebbd.json
deleted file mode 100644
index c5db313db..000000000
--- a/data/hfopenllm_v2/gaverfraxz/Meta-Llama-3.1-8B-Instruct-HalfAbliterated-TIES/83a638be-6f3d-4d5b-b1de-6515634aebbd.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/gaverfraxz_Meta-Llama-3.1-8B-Instruct-HalfAbliterated-TIES/1762652580.163549",
-  "retrieved_timestamp": "1762652580.16355",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "gaverfraxz/Meta-Llama-3.1-8B-Instruct-HalfAbliterated-TIES",
-    "developer": "gaverfraxz",
-    "inference_platform": "unknown",
-    "id": "gaverfraxz/Meta-Llama-3.1-8B-Instruct-HalfAbliterated-TIES",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.45505148561372716
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5043660783243713
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diff --git a/data/hfopenllm_v2/gaverfraxz/Meta-Llama-3.1-8B-Instruct-HalfAbliterated-TIES/8fe13380-a045-4d63-96f8-ec977540478c.json b/data/hfopenllm_v2/gaverfraxz/Meta-Llama-3.1-8B-Instruct-HalfAbliterated-TIES/8fe13380-a045-4d63-96f8-ec977540478c.json
new file mode 100644
index 000000000..280b09aa0
--- /dev/null
+++ b/data/hfopenllm_v2/gaverfraxz/Meta-Llama-3.1-8B-Instruct-HalfAbliterated-TIES/8fe13380-a045-4d63-96f8-ec977540478c.json
@@ -0,0 +1,132 @@
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+    "source_type": "documentation",
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+    "evaluator_relationship": "third_party"
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+  "model_info": {
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/gbueno86/Brinebreath-Llama-3.1-70B/6da42427-c7de-4830-b368-ca7757ee1d51.json b/data/hfopenllm_v2/gbueno86/Brinebreath-Llama-3.1-70B/6da42427-c7de-4830-b368-ca7757ee1d51.json
new file mode 100644
index 000000000..700b6cf24
--- /dev/null
+++ b/data/hfopenllm_v2/gbueno86/Brinebreath-Llama-3.1-70B/6da42427-c7de-4830-b368-ca7757ee1d51.json
@@ -0,0 +1,132 @@
+{
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+      },
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+        "evaluation_description": "Exact Match on MATH Level 5",
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+        "hf_repo": "TIGER-Lab/MMLU-Pro"
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/gbueno86/Meta-LLama-3-Cat-Smaug-LLama-70b/5faf24b3-38af-4f3f-8377-bba70d75f8df.json b/data/hfopenllm_v2/gbueno86/Meta-LLama-3-Cat-Smaug-LLama-70b/5faf24b3-38af-4f3f-8377-bba70d75f8df.json
new file mode 100644
index 000000000..8becc522b
--- /dev/null
+++ b/data/hfopenllm_v2/gbueno86/Meta-LLama-3-Cat-Smaug-LLama-70b/5faf24b3-38af-4f3f-8377-bba70d75f8df.json
@@ -0,0 +1,132 @@
+{
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+  "evaluation_id": "hfopenllm_v2/gbueno86_Meta-LLama-3-Cat-Smaug-LLama-70b/1770682486.623709",
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+  "source_metadata": {
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+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Meta-LLama-3-Cat-Smaug-LLama-70b",
+    "id": "gbueno86/Meta-LLama-3-Cat-Smaug-LLama-70b",
+    "developer": "gbueno86",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
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+    }
+  },
+  "evaluation_results": [
+    {
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+        "lower_is_better": false,
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
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+        "evaluation_description": "Accuracy on BBH",
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+        "max_score": 1.0
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+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
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+        "hf_repo": "TAUR-Lab/MuSR"
+      },
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+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
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+      }
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+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/ghost-x/ghost-8b-beta-1608/9a26214c-2601-49be-b1b1-03796b704059.json b/data/hfopenllm_v2/ghost-x/ghost-8b-beta-1608/9a26214c-2601-49be-b1b1-03796b704059.json
new file mode 100644
index 000000000..e2d293c3a
--- /dev/null
+++ b/data/hfopenllm_v2/ghost-x/ghost-8b-beta-1608/9a26214c-2601-49be-b1b1-03796b704059.json
@@ -0,0 +1,132 @@
+{
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+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "ghost-8b-beta-1608",
+    "id": "ghost-x/ghost-8b-beta-1608",
+    "developer": "ghost-x",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
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+        "source_type": "hf_dataset",
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+        "score_type": "continuous",
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4517
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+    {
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+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
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+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2584
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/ghost-x/ghost-8b-beta-1608/b5fba89f-ec8f-4e71-ad19-32c7d85698fb.json b/data/hfopenllm_v2/ghost-x/ghost-8b-beta-1608/b5fba89f-ec8f-4e71-ad19-32c7d85698fb.json
deleted file mode 100644
index 5320e2cab..000000000
--- a/data/hfopenllm_v2/ghost-x/ghost-8b-beta-1608/b5fba89f-ec8f-4e71-ad19-32c7d85698fb.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "source_data": [
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-  "source_metadata": {
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
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-    "developer": "ghost-x",
-    "inference_platform": "unknown",
-    "id": "ghost-x/ghost-8b-beta-1608",
-    "additional_details": {
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-    }
-  },
-  "evaluation_results": [
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-      "evaluation_name": "IFEval",
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diff --git a/data/hfopenllm_v2/glaiveai/Reflection-Llama-3.1-70B/fa71ed09-45d4-4a5b-bfb1-a61a359a8f0c.json b/data/hfopenllm_v2/glaiveai/Reflection-Llama-3.1-70B/fa71ed09-45d4-4a5b-bfb1-a61a359a8f0c.json
new file mode 100644
index 000000000..3344ef2b5
--- /dev/null
+++ b/data/hfopenllm_v2/glaiveai/Reflection-Llama-3.1-70B/fa71ed09-45d4-4a5b-bfb1-a61a359a8f0c.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/glaiveai_Reflection-Llama-3.1-70B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Reflection-Llama-3.1-70B",
+    "id": "glaiveai/Reflection-Llama-3.1-70B",
+    "developer": "glaiveai",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 69.5
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5991
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5681
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2757
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3146
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.438
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6341
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/gmonsoon/SahabatAI-Llama-11B-Test/25c5b304-46d3-4df3-9ac3-75ffa972849a.json b/data/hfopenllm_v2/gmonsoon/SahabatAI-Llama-11B-Test/25c5b304-46d3-4df3-9ac3-75ffa972849a.json
new file mode 100644
index 000000000..579c66afe
--- /dev/null
+++ b/data/hfopenllm_v2/gmonsoon/SahabatAI-Llama-11B-Test/25c5b304-46d3-4df3-9ac3-75ffa972849a.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/gmonsoon_SahabatAI-Llama-11B-Test/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "SahabatAI-Llama-11B-Test",
+    "id": "gmonsoon/SahabatAI-Llama-11B-Test",
+    "developer": "gmonsoon",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 11.52
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3376
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4728
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.031
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2819
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4001
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3182
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/gmonsoon/SahabatAI-MediChatIndo-8B-v1/61543864-320f-41ef-889d-7c0e95a229bd.json b/data/hfopenllm_v2/gmonsoon/SahabatAI-MediChatIndo-8B-v1/61543864-320f-41ef-889d-7c0e95a229bd.json
deleted file mode 100644
index 63e97605c..000000000
--- a/data/hfopenllm_v2/gmonsoon/SahabatAI-MediChatIndo-8B-v1/61543864-320f-41ef-889d-7c0e95a229bd.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/gmonsoon_SahabatAI-MediChatIndo-8B-v1/1762652580.165248",
-  "retrieved_timestamp": "1762652580.165249",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "gmonsoon/SahabatAI-MediChatIndo-8B-v1",
-    "developer": "gmonsoon",
-    "inference_platform": "unknown",
-    "id": "gmonsoon/SahabatAI-MediChatIndo-8B-v1",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-    },
-    {
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-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4508834027881236
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
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-    },
-    {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2827181208053691
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3753958333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3107546542553192
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/gmonsoon/SahabatAI-MediChatIndo-8B-v1/88ed0272-39f8-4676-970a-525aee058991.json b/data/hfopenllm_v2/gmonsoon/SahabatAI-MediChatIndo-8B-v1/88ed0272-39f8-4676-970a-525aee058991.json
new file mode 100644
index 000000000..4c3ee6998
--- /dev/null
+++ b/data/hfopenllm_v2/gmonsoon/SahabatAI-MediChatIndo-8B-v1/88ed0272-39f8-4676-970a-525aee058991.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/gmonsoon_SahabatAI-MediChatIndo-8B-v1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "SahabatAI-MediChatIndo-8B-v1",
+    "id": "gmonsoon/SahabatAI-MediChatIndo-8B-v1",
+    "developer": "gmonsoon",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4163
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4509
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0619
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2827
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3754
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3108
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/gmonsoon/SahabatAI-Rebase-8B-Test/a7daa424-7b22-4320-bddd-be350d54b08d.json b/data/hfopenllm_v2/gmonsoon/SahabatAI-Rebase-8B-Test/a7daa424-7b22-4320-bddd-be350d54b08d.json
deleted file mode 100644
index 218ea1332..000000000
--- a/data/hfopenllm_v2/gmonsoon/SahabatAI-Rebase-8B-Test/a7daa424-7b22-4320-bddd-be350d54b08d.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/gmonsoon_SahabatAI-Rebase-8B-Test/1762652580.165493",
-  "retrieved_timestamp": "1762652580.165493",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "gmonsoon/SahabatAI-Rebase-8B-Test",
-    "developer": "gmonsoon",
-    "inference_platform": "unknown",
-    "id": "gmonsoon/SahabatAI-Rebase-8B-Test",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5156263159527831
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.522960549734047
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1148036253776435
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.287751677852349
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41328125
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
-        "score": 0.3663563829787234
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-    }
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-}
diff --git a/data/hfopenllm_v2/gmonsoon/SahabatAI-Rebase-8B-Test/d8eff5d0-061b-4b83-b96a-04f9ba47ea6c.json b/data/hfopenllm_v2/gmonsoon/SahabatAI-Rebase-8B-Test/d8eff5d0-061b-4b83-b96a-04f9ba47ea6c.json
new file mode 100644
index 000000000..58ed22e54
--- /dev/null
+++ b/data/hfopenllm_v2/gmonsoon/SahabatAI-Rebase-8B-Test/d8eff5d0-061b-4b83-b96a-04f9ba47ea6c.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/gmonsoon_SahabatAI-Rebase-8B-Test/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "SahabatAI-Rebase-8B-Test",
+    "id": "gmonsoon/SahabatAI-Rebase-8B-Test",
+    "developer": "gmonsoon",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5156
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.523
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1148
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2878
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4133
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3664
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/gmonsoon/StockSeaLLMs-7B-v1/ac53d663-0e5c-4a7e-8d9d-efcd70d39b10.json b/data/hfopenllm_v2/gmonsoon/StockSeaLLMs-7B-v1/ac53d663-0e5c-4a7e-8d9d-efcd70d39b10.json
deleted file mode 100644
index 0ab71dfaa..000000000
--- a/data/hfopenllm_v2/gmonsoon/StockSeaLLMs-7B-v1/ac53d663-0e5c-4a7e-8d9d-efcd70d39b10.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/gmonsoon_StockSeaLLMs-7B-v1/1762652580.165695",
-  "retrieved_timestamp": "1762652580.165696",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "gmonsoon/StockSeaLLMs-7B-v1",
-    "developer": "gmonsoon",
-    "inference_platform": "unknown",
-    "id": "gmonsoon/StockSeaLLMs-7B-v1",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.616
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4599218961245052
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5271087932535433
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.19637462235649547
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3028523489932886
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.421375
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.39519614361702127
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/gmonsoon/StockSeaLLMs-7B-v1/dcb90e75-8709-4729-8c00-e756e6a9a49d.json b/data/hfopenllm_v2/gmonsoon/StockSeaLLMs-7B-v1/dcb90e75-8709-4729-8c00-e756e6a9a49d.json
new file mode 100644
index 000000000..0e6375ecc
--- /dev/null
+++ b/data/hfopenllm_v2/gmonsoon/StockSeaLLMs-7B-v1/dcb90e75-8709-4729-8c00-e756e6a9a49d.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/gmonsoon_StockSeaLLMs-7B-v1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "StockSeaLLMs-7B-v1",
+    "id": "gmonsoon/StockSeaLLMs-7B-v1",
+    "developer": "gmonsoon",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4599
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5271
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1964
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3029
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4214
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3952
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/gmonsoon/gemma2-9b-sahabatai-v1-instruct-BaseTIES/6d500e75-5605-4268-88a1-dc4abc7c5a7f.json b/data/hfopenllm_v2/gmonsoon/gemma2-9b-sahabatai-v1-instruct-BaseTIES/6d500e75-5605-4268-88a1-dc4abc7c5a7f.json
deleted file mode 100644
index daf52cc6a..000000000
--- a/data/hfopenllm_v2/gmonsoon/gemma2-9b-sahabatai-v1-instruct-BaseTIES/6d500e75-5605-4268-88a1-dc4abc7c5a7f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/gmonsoon_gemma2-9b-sahabatai-v1-instruct-BaseTIES/1762652580.165903",
-  "retrieved_timestamp": "1762652580.1659038",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "gmonsoon/gemma2-9b-sahabatai-v1-instruct-BaseTIES",
-    "developer": "gmonsoon",
-    "inference_platform": "unknown",
-    "id": "gmonsoon/gemma2-9b-sahabatai-v1-instruct-BaseTIES",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Gemma2ForCausalLM",
-      "params_billions": 9.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7377923908562614
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6077244532441547
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.19939577039274925
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.32046979865771813
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.47780208333333335
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.43467420212765956
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/gmonsoon/gemma2-9b-sahabatai-v1-instruct-BaseTIES/81dcf3ca-f5c2-40a1-8871-b0188d5e9ceb.json b/data/hfopenllm_v2/gmonsoon/gemma2-9b-sahabatai-v1-instruct-BaseTIES/81dcf3ca-f5c2-40a1-8871-b0188d5e9ceb.json
new file mode 100644
index 000000000..61f640923
--- /dev/null
+++ b/data/hfopenllm_v2/gmonsoon/gemma2-9b-sahabatai-v1-instruct-BaseTIES/81dcf3ca-f5c2-40a1-8871-b0188d5e9ceb.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/gmonsoon_gemma2-9b-sahabatai-v1-instruct-BaseTIES/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "gemma2-9b-sahabatai-v1-instruct-BaseTIES",
+    "id": "gmonsoon/gemma2-9b-sahabatai-v1-instruct-BaseTIES",
+    "developer": "gmonsoon",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Gemma2ForCausalLM",
+      "params_billions": 9.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7378
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6077
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1994
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3205
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4778
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4347
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/godlikehhd/alpaca_data_full_2/0a0a4d32-c7a9-49c9-bba4-dae6b464a5b6.json b/data/hfopenllm_v2/godlikehhd/alpaca_data_full_2/0a0a4d32-c7a9-49c9-bba4-dae6b464a5b6.json
new file mode 100644
index 000000000..cf37f2ef2
--- /dev/null
+++ b/data/hfopenllm_v2/godlikehhd/alpaca_data_full_2/0a0a4d32-c7a9-49c9-bba4-dae6b464a5b6.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/godlikehhd_alpaca_data_full_2/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "alpaca_data_full_2",
+    "id": "godlikehhd/alpaca_data_full_2",
+    "developer": "godlikehhd",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 1.544
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3178
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4217
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0929
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2978
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4052
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2854
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/godlikehhd/alpaca_data_full_2/3c550631-c27c-4743-98f3-3ab65c5fa906.json b/data/hfopenllm_v2/godlikehhd/alpaca_data_full_2/3c550631-c27c-4743-98f3-3ab65c5fa906.json
deleted file mode 100644
index ba2f754c2..000000000
--- a/data/hfopenllm_v2/godlikehhd/alpaca_data_full_2/3c550631-c27c-4743-98f3-3ab65c5fa906.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/godlikehhd_alpaca_data_full_2/1762652580.166118",
-  "retrieved_timestamp": "1762652580.166118",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "godlikehhd/alpaca_data_full_2",
-    "developer": "godlikehhd",
-    "inference_platform": "unknown",
-    "id": "godlikehhd/alpaca_data_full_2",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 1.544
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.31781450994472443
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4216953430035033
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.09290030211480363
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2978187919463087
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.40515625000000005
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.285405585106383
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/godlikehhd/alpaca_data_full_3B/82a3a8ef-7e5f-48d0-a48e-41ea2c5b6452.json b/data/hfopenllm_v2/godlikehhd/alpaca_data_full_3B/82a3a8ef-7e5f-48d0-a48e-41ea2c5b6452.json
new file mode 100644
index 000000000..4c1cc5329
--- /dev/null
+++ b/data/hfopenllm_v2/godlikehhd/alpaca_data_full_3B/82a3a8ef-7e5f-48d0-a48e-41ea2c5b6452.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/godlikehhd_alpaca_data_full_3B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "alpaca_data_full_3B",
+    "id": "godlikehhd/alpaca_data_full_3B",
+    "developer": "godlikehhd",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 3.086
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3696
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4684
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1337
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2777
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4955
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3357
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/godlikehhd/alpaca_data_full_3B/d7d6baf0-00d3-4960-970c-949bb9919ac9.json b/data/hfopenllm_v2/godlikehhd/alpaca_data_full_3B/d7d6baf0-00d3-4960-970c-949bb9919ac9.json
deleted file mode 100644
index 789c9bc8c..000000000
--- a/data/hfopenllm_v2/godlikehhd/alpaca_data_full_3B/d7d6baf0-00d3-4960-970c-949bb9919ac9.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/godlikehhd_alpaca_data_full_3B/1762652580.166356",
-  "retrieved_timestamp": "1762652580.166357",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "godlikehhd/alpaca_data_full_3B",
-    "developer": "godlikehhd",
-    "inference_platform": "unknown",
-    "id": "godlikehhd/alpaca_data_full_3B",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 3.086
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.36957162550920447
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.46841893776834337
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1336858006042296
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.27768456375838924
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4954791666666667
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.335688164893617
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/godlikehhd/alpaca_data_ifd_max_2600/017ca821-f6ea-43bc-bac1-28dd30c2341d.json b/data/hfopenllm_v2/godlikehhd/alpaca_data_ifd_max_2600/017ca821-f6ea-43bc-bac1-28dd30c2341d.json
deleted file mode 100644
index 27e8cb189..000000000
--- a/data/hfopenllm_v2/godlikehhd/alpaca_data_ifd_max_2600/017ca821-f6ea-43bc-bac1-28dd30c2341d.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/godlikehhd_alpaca_data_ifd_max_2600/1762652580.16661",
-  "retrieved_timestamp": "1762652580.166613",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "godlikehhd/alpaca_data_ifd_max_2600",
-    "developer": "godlikehhd",
-    "inference_platform": "unknown",
-    "id": "godlikehhd/alpaca_data_ifd_max_2600",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 1.544
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3042504997850149
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.40285133876405865
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
-        "score": 0.09894259818731117
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-    },
-    {
-      "evaluation_name": "GPQA",
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-        "evaluation_description": "Accuracy on GPQA",
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-        "max_score": 1
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-      "score_details": {
-        "score": 0.3028523489932886
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-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
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-        "score_type": "continuous",
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-        "max_score": 1
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-      "score_details": {
-        "score": 0.3508645833333333
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-    {
-      "evaluation_name": "MMLU-PRO",
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-        "evaluation_description": "Accuracy on MMLU-PRO",
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-}
diff --git a/data/hfopenllm_v2/godlikehhd/alpaca_data_ifd_max_2600/e635e798-fa85-4430-bf1e-9d5ad7fe9f22.json b/data/hfopenllm_v2/godlikehhd/alpaca_data_ifd_max_2600/e635e798-fa85-4430-bf1e-9d5ad7fe9f22.json
new file mode 100644
index 000000000..dae6a5835
--- /dev/null
+++ b/data/hfopenllm_v2/godlikehhd/alpaca_data_ifd_max_2600/e635e798-fa85-4430-bf1e-9d5ad7fe9f22.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/godlikehhd_alpaca_data_ifd_max_2600/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "alpaca_data_ifd_max_2600",
+    "id": "godlikehhd/alpaca_data_ifd_max_2600",
+    "developer": "godlikehhd",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 1.544
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3043
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4029
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0989
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3029
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3509
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2916
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/godlikehhd/alpaca_data_ifd_max_2600_3B/41d72b83-3c55-460f-9d21-88866eed6b9a.json b/data/hfopenllm_v2/godlikehhd/alpaca_data_ifd_max_2600_3B/41d72b83-3c55-460f-9d21-88866eed6b9a.json
deleted file mode 100644
index 45f78e257..000000000
--- a/data/hfopenllm_v2/godlikehhd/alpaca_data_ifd_max_2600_3B/41d72b83-3c55-460f-9d21-88866eed6b9a.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/godlikehhd_alpaca_data_ifd_max_2600_3B/1762652580.1669528",
-  "retrieved_timestamp": "1762652580.166954",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "godlikehhd/alpaca_data_ifd_max_2600_3B",
-    "developer": "godlikehhd",
-    "inference_platform": "unknown",
-    "id": "godlikehhd/alpaca_data_ifd_max_2600_3B",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 3.086
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.298155560579263
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4626377955326701
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-        "score": 0.1593655589123867
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-    },
-    {
-      "evaluation_name": "GPQA",
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-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2726510067114094
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-    },
-    {
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-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.43455208333333334
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.32878989361702127
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/godlikehhd/alpaca_data_ifd_max_2600_3B/7ccaa29a-4f73-4794-83a2-b925d755d91e.json b/data/hfopenllm_v2/godlikehhd/alpaca_data_ifd_max_2600_3B/7ccaa29a-4f73-4794-83a2-b925d755d91e.json
new file mode 100644
index 000000000..3e8447d76
--- /dev/null
+++ b/data/hfopenllm_v2/godlikehhd/alpaca_data_ifd_max_2600_3B/7ccaa29a-4f73-4794-83a2-b925d755d91e.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/godlikehhd_alpaca_data_ifd_max_2600_3B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "alpaca_data_ifd_max_2600_3B",
+    "id": "godlikehhd/alpaca_data_ifd_max_2600_3B",
+    "developer": "godlikehhd",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 3.086
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2982
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4626
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1594
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2727
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4346
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3288
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/godlikehhd/alpaca_data_ifd_me_max_5200/ba8de8f6-c118-4bc3-ae8d-851e964684ed.json b/data/hfopenllm_v2/godlikehhd/alpaca_data_ifd_me_max_5200/ba8de8f6-c118-4bc3-ae8d-851e964684ed.json
new file mode 100644
index 000000000..6e4a08360
--- /dev/null
+++ b/data/hfopenllm_v2/godlikehhd/alpaca_data_ifd_me_max_5200/ba8de8f6-c118-4bc3-ae8d-851e964684ed.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/godlikehhd_alpaca_data_ifd_me_max_5200/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "alpaca_data_ifd_me_max_5200",
+    "id": "godlikehhd/alpaca_data_ifd_me_max_5200",
+    "developer": "godlikehhd",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 1.544
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3683
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4153
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0974
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2911
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3483
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2982
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/godlikehhd/alpaca_data_ifd_me_max_5200/e2f13357-053c-42e5-8149-465b4f16d334.json b/data/hfopenllm_v2/godlikehhd/alpaca_data_ifd_me_max_5200/e2f13357-053c-42e5-8149-465b4f16d334.json
deleted file mode 100644
index 4187047bc..000000000
--- a/data/hfopenllm_v2/godlikehhd/alpaca_data_ifd_me_max_5200/e2f13357-053c-42e5-8149-465b4f16d334.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/godlikehhd_alpaca_data_ifd_me_max_5200/1762652580.167201",
-  "retrieved_timestamp": "1762652580.167202",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "godlikehhd/alpaca_data_ifd_me_max_5200",
-    "developer": "godlikehhd",
-    "inference_platform": "unknown",
-    "id": "godlikehhd/alpaca_data_ifd_me_max_5200",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 1.544
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.36832271705740766
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4153453015610935
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.09743202416918428
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2911073825503356
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3482604166666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.29820478723404253
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/godlikehhd/alpaca_data_ifd_min_2600/4011975a-e2a0-466a-9b34-923e1b4f8733.json b/data/hfopenllm_v2/godlikehhd/alpaca_data_ifd_min_2600/4011975a-e2a0-466a-9b34-923e1b4f8733.json
new file mode 100644
index 000000000..bc8f77337
--- /dev/null
+++ b/data/hfopenllm_v2/godlikehhd/alpaca_data_ifd_min_2600/4011975a-e2a0-466a-9b34-923e1b4f8733.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/godlikehhd_alpaca_data_ifd_min_2600/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "alpaca_data_ifd_min_2600",
+    "id": "godlikehhd/alpaca_data_ifd_min_2600",
+    "developer": "godlikehhd",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 1.544
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.375
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4219
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0967
+      }
+    },
+    {
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+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2919
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3656
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2893
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/godlikehhd/alpaca_data_ifd_min_2600/5561b7bd-bd90-445c-b969-8d400e99e629.json b/data/hfopenllm_v2/godlikehhd/alpaca_data_ifd_min_2600/5561b7bd-bd90-445c-b969-8d400e99e629.json
deleted file mode 100644
index affc4c2ae..000000000
--- a/data/hfopenllm_v2/godlikehhd/alpaca_data_ifd_min_2600/5561b7bd-bd90-445c-b969-8d400e99e629.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/godlikehhd_alpaca_data_ifd_min_2600/1762652580.167441",
-  "retrieved_timestamp": "1762652580.167443",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "godlikehhd/alpaca_data_ifd_min_2600",
-    "developer": "godlikehhd",
-    "inference_platform": "unknown",
-    "id": "godlikehhd/alpaca_data_ifd_min_2600",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 1.544
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3749673089624419
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4219047173013076
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.09667673716012085
-      }
-    },
-    {
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-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.29194630872483224
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.36562500000000003
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.289311835106383
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/godlikehhd/alpaca_data_ins_ans_max_5200/8a172205-39c6-4dd1-86b2-11b234b37e3c.json b/data/hfopenllm_v2/godlikehhd/alpaca_data_ins_ans_max_5200/8a172205-39c6-4dd1-86b2-11b234b37e3c.json
new file mode 100644
index 000000000..8ecd5019c
--- /dev/null
+++ b/data/hfopenllm_v2/godlikehhd/alpaca_data_ins_ans_max_5200/8a172205-39c6-4dd1-86b2-11b234b37e3c.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/godlikehhd_alpaca_data_ins_ans_max_5200/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "alpaca_data_ins_ans_max_5200",
+    "id": "godlikehhd/alpaca_data_ins_ans_max_5200",
+    "developer": "godlikehhd",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 1.544
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3479
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4098
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1027
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2911
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3602
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2901
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/godlikehhd/alpaca_data_ins_ans_max_5200/9c2cee8b-3f35-4a49-814e-ad316fcede7f.json b/data/hfopenllm_v2/godlikehhd/alpaca_data_ins_ans_max_5200/9c2cee8b-3f35-4a49-814e-ad316fcede7f.json
deleted file mode 100644
index 75c08bce1..000000000
--- a/data/hfopenllm_v2/godlikehhd/alpaca_data_ins_ans_max_5200/9c2cee8b-3f35-4a49-814e-ad316fcede7f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/godlikehhd_alpaca_data_ins_ans_max_5200/1762652580.167691",
-  "retrieved_timestamp": "1762652580.1676931",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "godlikehhd/alpaca_data_ins_ans_max_5200",
-    "developer": "godlikehhd",
-    "inference_platform": "unknown",
-    "id": "godlikehhd/alpaca_data_ins_ans_max_5200",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 1.544
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.34786477657061043
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.40982060224148426
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1027190332326284
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2911073825503356
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3601666666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2900598404255319
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/godlikehhd/alpaca_data_ins_max_5200/495b2e8e-e2d8-4158-bc6e-7568604d44e9.json b/data/hfopenllm_v2/godlikehhd/alpaca_data_ins_max_5200/495b2e8e-e2d8-4158-bc6e-7568604d44e9.json
new file mode 100644
index 000000000..b1a0ba707
--- /dev/null
+++ b/data/hfopenllm_v2/godlikehhd/alpaca_data_ins_max_5200/495b2e8e-e2d8-4158-bc6e-7568604d44e9.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/godlikehhd_alpaca_data_ins_max_5200/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "alpaca_data_ins_max_5200",
+    "id": "godlikehhd/alpaca_data_ins_max_5200",
+    "developer": "godlikehhd",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 1.544
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3275
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4155
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0997
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2961
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3614
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2916
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/godlikehhd/alpaca_data_ins_max_5200/cdd1de41-4e85-4872-be9f-e3af4e9221a9.json b/data/hfopenllm_v2/godlikehhd/alpaca_data_ins_max_5200/cdd1de41-4e85-4872-be9f-e3af4e9221a9.json
deleted file mode 100644
index c238dc158..000000000
--- a/data/hfopenllm_v2/godlikehhd/alpaca_data_ins_max_5200/cdd1de41-4e85-4872-be9f-e3af4e9221a9.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/godlikehhd_alpaca_data_ins_max_5200/1762652580.1679769",
-  "retrieved_timestamp": "1762652580.167978",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "godlikehhd/alpaca_data_ins_max_5200",
-    "developer": "godlikehhd",
-    "inference_platform": "unknown",
-    "id": "godlikehhd/alpaca_data_ins_max_5200",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 1.544
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.32750657145263457
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41550742328078477
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.09969788519637462
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2961409395973154
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.361375
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2915558510638298
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/godlikehhd/alpaca_data_ins_min_2600/121f28df-65d6-4a48-aa77-4ee794034032.json b/data/hfopenllm_v2/godlikehhd/alpaca_data_ins_min_2600/121f28df-65d6-4a48-aa77-4ee794034032.json
deleted file mode 100644
index 02fdfd6d6..000000000
--- a/data/hfopenllm_v2/godlikehhd/alpaca_data_ins_min_2600/121f28df-65d6-4a48-aa77-4ee794034032.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/godlikehhd_alpaca_data_ins_min_2600/1762652580.1682088",
-  "retrieved_timestamp": "1762652580.16821",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "godlikehhd/alpaca_data_ins_min_2600",
-    "developer": "godlikehhd",
-    "inference_platform": "unknown",
-    "id": "godlikehhd/alpaca_data_ins_min_2600",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 1.544
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.33300199027469335
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41873469888886056
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11102719033232629
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2978187919463087
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.38534375000000004
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.28798204787234044
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/godlikehhd/alpaca_data_ins_min_2600/e6a97d0d-9dc3-43a5-a69f-8132e19f9c77.json b/data/hfopenllm_v2/godlikehhd/alpaca_data_ins_min_2600/e6a97d0d-9dc3-43a5-a69f-8132e19f9c77.json
new file mode 100644
index 000000000..31d6adcd2
--- /dev/null
+++ b/data/hfopenllm_v2/godlikehhd/alpaca_data_ins_min_2600/e6a97d0d-9dc3-43a5-a69f-8132e19f9c77.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/godlikehhd_alpaca_data_ins_min_2600/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "alpaca_data_ins_min_2600",
+    "id": "godlikehhd/alpaca_data_ins_min_2600",
+    "developer": "godlikehhd",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 1.544
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.333
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4187
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.111
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2978
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3853
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.288
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/godlikehhd/alpaca_data_ins_min_5200/4aecfd45-f47b-4f02-a0ed-288cbef46a6f.json b/data/hfopenllm_v2/godlikehhd/alpaca_data_ins_min_5200/4aecfd45-f47b-4f02-a0ed-288cbef46a6f.json
new file mode 100644
index 000000000..b84f600b2
--- /dev/null
+++ b/data/hfopenllm_v2/godlikehhd/alpaca_data_ins_min_5200/4aecfd45-f47b-4f02-a0ed-288cbef46a6f.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/godlikehhd_alpaca_data_ins_min_5200/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "alpaca_data_ins_min_5200",
+    "id": "godlikehhd/alpaca_data_ins_min_5200",
+    "developer": "godlikehhd",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 1.544
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.336
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4289
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1035
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2869
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3906
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2949
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/godlikehhd/alpaca_data_ins_min_5200/d976888b-5e17-4e5c-b557-0b48bf36d4f7.json b/data/hfopenllm_v2/godlikehhd/alpaca_data_ins_min_5200/d976888b-5e17-4e5c-b557-0b48bf36d4f7.json
deleted file mode 100644
index b449903b2..000000000
--- a/data/hfopenllm_v2/godlikehhd/alpaca_data_ins_min_5200/d976888b-5e17-4e5c-b557-0b48bf36d4f7.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/godlikehhd_alpaca_data_ins_min_5200/1762652580.1684108",
-  "retrieved_timestamp": "1762652580.1684108",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "godlikehhd/alpaca_data_ins_min_5200",
-    "developer": "godlikehhd",
-    "inference_platform": "unknown",
-    "id": "godlikehhd/alpaca_data_ins_min_5200",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 1.544
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3359995921931586
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4289279419241076
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.10347432024169184
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.28691275167785235
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.39055208333333336
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.29488031914893614
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/godlikehhd/alpaca_data_sampled_ifd_5200/a6f7bc45-c2b5-47d8-a062-60f20c3d7ea4.json b/data/hfopenllm_v2/godlikehhd/alpaca_data_sampled_ifd_5200/a6f7bc45-c2b5-47d8-a062-60f20c3d7ea4.json
new file mode 100644
index 000000000..64a2916b2
--- /dev/null
+++ b/data/hfopenllm_v2/godlikehhd/alpaca_data_sampled_ifd_5200/a6f7bc45-c2b5-47d8-a062-60f20c3d7ea4.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/godlikehhd_alpaca_data_sampled_ifd_5200/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "alpaca_data_sampled_ifd_5200",
+    "id": "godlikehhd/alpaca_data_sampled_ifd_5200",
+    "developer": "godlikehhd",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 1.544
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2924
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4033
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1254
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3087
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3521
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2896
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/godlikehhd/alpaca_data_sampled_ifd_5200/e7ca66f4-852b-4b5b-8781-d6272a43c559.json b/data/hfopenllm_v2/godlikehhd/alpaca_data_sampled_ifd_5200/e7ca66f4-852b-4b5b-8781-d6272a43c559.json
deleted file mode 100644
index fac4fc396..000000000
--- a/data/hfopenllm_v2/godlikehhd/alpaca_data_sampled_ifd_5200/e7ca66f4-852b-4b5b-8781-d6272a43c559.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/godlikehhd_alpaca_data_sampled_ifd_5200/1762652580.1686149",
-  "retrieved_timestamp": "1762652580.1686149",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "godlikehhd/alpaca_data_sampled_ifd_5200",
-    "developer": "godlikehhd",
-    "inference_platform": "unknown",
-    "id": "godlikehhd/alpaca_data_sampled_ifd_5200",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 1.544
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2923853154075631
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4032969715626326
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.12537764350453173
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3087248322147651
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3520729166666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2896442819148936
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/godlikehhd/alpaca_data_sampled_ifd_new_5200/906db90c-7ea4-4878-aa01-06fd1ad0d18a.json b/data/hfopenllm_v2/godlikehhd/alpaca_data_sampled_ifd_new_5200/906db90c-7ea4-4878-aa01-06fd1ad0d18a.json
deleted file mode 100644
index f5b20da00..000000000
--- a/data/hfopenllm_v2/godlikehhd/alpaca_data_sampled_ifd_new_5200/906db90c-7ea4-4878-aa01-06fd1ad0d18a.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/godlikehhd_alpaca_data_sampled_ifd_new_5200/1762652580.1688168",
-  "retrieved_timestamp": "1762652580.168818",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "godlikehhd/alpaca_data_sampled_ifd_new_5200",
-    "developer": "godlikehhd",
-    "inference_platform": "unknown",
-    "id": "godlikehhd/alpaca_data_sampled_ifd_new_5200",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 1.544
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.36632468516868577
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4177831234050982
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.09441087613293052
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2936241610738255
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.36125
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.29247007978723405
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/godlikehhd/alpaca_data_sampled_ifd_new_5200/c85c79d6-28e0-4deb-ad84-901b725aeca8.json b/data/hfopenllm_v2/godlikehhd/alpaca_data_sampled_ifd_new_5200/c85c79d6-28e0-4deb-ad84-901b725aeca8.json
new file mode 100644
index 000000000..081b3f249
--- /dev/null
+++ b/data/hfopenllm_v2/godlikehhd/alpaca_data_sampled_ifd_new_5200/c85c79d6-28e0-4deb-ad84-901b725aeca8.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/godlikehhd_alpaca_data_sampled_ifd_new_5200/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "alpaca_data_sampled_ifd_new_5200",
+    "id": "godlikehhd/alpaca_data_sampled_ifd_new_5200",
+    "developer": "godlikehhd",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 1.544
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3663
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4178
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0944
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2936
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3613
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2925
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/godlikehhd/alpaca_data_score_max_0.1_2600/08195b61-5fe5-4cce-8da4-34b731289278.json b/data/hfopenllm_v2/godlikehhd/alpaca_data_score_max_0.1_2600/08195b61-5fe5-4cce-8da4-34b731289278.json
deleted file mode 100644
index 26ada3498..000000000
--- a/data/hfopenllm_v2/godlikehhd/alpaca_data_score_max_0.1_2600/08195b61-5fe5-4cce-8da4-34b731289278.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/godlikehhd_alpaca_data_score_max_0.1_2600/1762652580.1691651",
-  "retrieved_timestamp": "1762652580.169167",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "godlikehhd/alpaca_data_score_max_0.1_2600",
-    "developer": "godlikehhd",
-    "inference_platform": "unknown",
-    "id": "godlikehhd/alpaca_data_score_max_0.1_2600",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 1.544
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3287554799044313
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42522607952607777
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-      "score_details": {
-        "score": 0.09894259818731117
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-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
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-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2911073825503356
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-    },
-    {
-      "evaluation_name": "MUSR",
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-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37064583333333334
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-    },
-    {
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-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.29230385638297873
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/godlikehhd/alpaca_data_score_max_0.1_2600/73271472-d06f-405b-af9d-2da7c17e1eb0.json b/data/hfopenllm_v2/godlikehhd/alpaca_data_score_max_0.1_2600/73271472-d06f-405b-af9d-2da7c17e1eb0.json
new file mode 100644
index 000000000..3d3313dd2
--- /dev/null
+++ b/data/hfopenllm_v2/godlikehhd/alpaca_data_score_max_0.1_2600/73271472-d06f-405b-af9d-2da7c17e1eb0.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/godlikehhd_alpaca_data_score_max_0.1_2600/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "alpaca_data_score_max_0.1_2600",
+    "id": "godlikehhd/alpaca_data_score_max_0.1_2600",
+    "developer": "godlikehhd",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 1.544
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3288
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4252
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0989
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2911
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3706
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2923
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/godlikehhd/alpaca_data_score_max_0.3_2600/40e4c93e-7a54-49c2-b513-33edd87f59b0.json b/data/hfopenllm_v2/godlikehhd/alpaca_data_score_max_0.3_2600/40e4c93e-7a54-49c2-b513-33edd87f59b0.json
deleted file mode 100644
index 87e63f4dd..000000000
--- a/data/hfopenllm_v2/godlikehhd/alpaca_data_score_max_0.3_2600/40e4c93e-7a54-49c2-b513-33edd87f59b0.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/godlikehhd_alpaca_data_score_max_0.3_2600/1762652580.1694138",
-  "retrieved_timestamp": "1762652580.169415",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "godlikehhd/alpaca_data_score_max_0.3_2600",
-    "developer": "godlikehhd",
-    "inference_platform": "unknown",
-    "id": "godlikehhd/alpaca_data_score_max_0.3_2600",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 1.544
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.33752332699459653
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4151448369012765
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.10347432024169184
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.28942953020134227
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37594791666666666
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.29130651595744683
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/godlikehhd/alpaca_data_score_max_0.3_2600/4e40bb43-c33d-4324-aa02-5bb7f88a5d1f.json b/data/hfopenllm_v2/godlikehhd/alpaca_data_score_max_0.3_2600/4e40bb43-c33d-4324-aa02-5bb7f88a5d1f.json
new file mode 100644
index 000000000..90908a71a
--- /dev/null
+++ b/data/hfopenllm_v2/godlikehhd/alpaca_data_score_max_0.3_2600/4e40bb43-c33d-4324-aa02-5bb7f88a5d1f.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/godlikehhd_alpaca_data_score_max_0.3_2600/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "alpaca_data_score_max_0.3_2600",
+    "id": "godlikehhd/alpaca_data_score_max_0.3_2600",
+    "developer": "godlikehhd",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 1.544
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3375
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4151
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1035
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2894
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3759
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2913
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/godlikehhd/alpaca_data_score_max_0.7_2600/988c6ec3-e967-4cec-993b-e060a5a18e97.json b/data/hfopenllm_v2/godlikehhd/alpaca_data_score_max_0.7_2600/988c6ec3-e967-4cec-993b-e060a5a18e97.json
deleted file mode 100644
index b9f1aae73..000000000
--- a/data/hfopenllm_v2/godlikehhd/alpaca_data_score_max_0.7_2600/988c6ec3-e967-4cec-993b-e060a5a18e97.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/godlikehhd_alpaca_data_score_max_0.7_2600/1762652580.169624",
-  "retrieved_timestamp": "1762652580.169625",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "godlikehhd/alpaca_data_score_max_0.7_2600",
-    "developer": "godlikehhd",
-    "inference_platform": "unknown",
-    "id": "godlikehhd/alpaca_data_score_max_0.7_2600",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 1.544
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3639764713183243
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41845266250678703
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.10725075528700906
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3036912751677852
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3468645833333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2982878989361702
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/godlikehhd/alpaca_data_score_max_0.7_2600/9b36e4c0-0d13-4988-8145-b9254da2e76e.json b/data/hfopenllm_v2/godlikehhd/alpaca_data_score_max_0.7_2600/9b36e4c0-0d13-4988-8145-b9254da2e76e.json
new file mode 100644
index 000000000..97a5ad3b9
--- /dev/null
+++ b/data/hfopenllm_v2/godlikehhd/alpaca_data_score_max_0.7_2600/9b36e4c0-0d13-4988-8145-b9254da2e76e.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/godlikehhd_alpaca_data_score_max_0.7_2600/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "alpaca_data_score_max_0.7_2600",
+    "id": "godlikehhd/alpaca_data_score_max_0.7_2600",
+    "developer": "godlikehhd",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 1.544
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.364
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4185
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1073
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3037
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3469
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2983
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/godlikehhd/alpaca_data_score_max_2500/6a464798-0111-4c71-b156-72a5aba1da63.json b/data/hfopenllm_v2/godlikehhd/alpaca_data_score_max_2500/6a464798-0111-4c71-b156-72a5aba1da63.json
new file mode 100644
index 000000000..5e21ebf38
--- /dev/null
+++ b/data/hfopenllm_v2/godlikehhd/alpaca_data_score_max_2500/6a464798-0111-4c71-b156-72a5aba1da63.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/godlikehhd_alpaca_data_score_max_2500/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "alpaca_data_score_max_2500",
+    "id": "godlikehhd/alpaca_data_score_max_2500",
+    "developer": "godlikehhd",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 1.544
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3564
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.418
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0952
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2953
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3627
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.294
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/godlikehhd/alpaca_data_score_max_2500/b6fd288d-36d5-4499-bf2d-da1fdd1120c5.json b/data/hfopenllm_v2/godlikehhd/alpaca_data_score_max_2500/b6fd288d-36d5-4499-bf2d-da1fdd1120c5.json
deleted file mode 100644
index 1b4f1526b..000000000
--- a/data/hfopenllm_v2/godlikehhd/alpaca_data_score_max_2500/b6fd288d-36d5-4499-bf2d-da1fdd1120c5.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/godlikehhd_alpaca_data_score_max_2500/1762652580.1698968",
-  "retrieved_timestamp": "1762652580.169898",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "godlikehhd/alpaca_data_score_max_2500",
-    "developer": "godlikehhd",
-    "inference_platform": "unknown",
-    "id": "godlikehhd/alpaca_data_score_max_2500",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 1.544
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3563577973111345
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41801375075895447
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.09516616314199396
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2953020134228188
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.36270833333333335
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2939660904255319
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/godlikehhd/alpaca_data_score_max_2600_3B/78252135-f15b-427d-86de-c32cd3dbcd0f.json b/data/hfopenllm_v2/godlikehhd/alpaca_data_score_max_2600_3B/78252135-f15b-427d-86de-c32cd3dbcd0f.json
new file mode 100644
index 000000000..6e58fff0e
--- /dev/null
+++ b/data/hfopenllm_v2/godlikehhd/alpaca_data_score_max_2600_3B/78252135-f15b-427d-86de-c32cd3dbcd0f.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/godlikehhd_alpaca_data_score_max_2600_3B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "alpaca_data_score_max_2600_3B",
+    "id": "godlikehhd/alpaca_data_score_max_2600_3B",
+    "developer": "godlikehhd",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 3.086
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3358
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4716
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1548
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2651
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4474
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3342
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/godlikehhd/alpaca_data_score_max_2600_3B/92dc5ec0-5aea-45f5-9237-32b5a65e095b.json b/data/hfopenllm_v2/godlikehhd/alpaca_data_score_max_2600_3B/92dc5ec0-5aea-45f5-9237-32b5a65e095b.json
deleted file mode 100644
index abe4842c5..000000000
--- a/data/hfopenllm_v2/godlikehhd/alpaca_data_score_max_2600_3B/92dc5ec0-5aea-45f5-9237-32b5a65e095b.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/godlikehhd_alpaca_data_score_max_2600_3B/1762652580.170121",
-  "retrieved_timestamp": "1762652580.170122",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "godlikehhd/alpaca_data_score_max_2600_3B",
-    "developer": "godlikehhd",
-    "inference_platform": "unknown",
-    "id": "godlikehhd/alpaca_data_score_max_2600_3B",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 3.086
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.33577463352792813
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4716306839273412
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.15483383685800603
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2651006711409396
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.44744791666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3341921542553192
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/godlikehhd/alpaca_data_score_max_5200/c3b7bd57-9bc3-4d83-aad9-7d6315748c0a.json b/data/hfopenllm_v2/godlikehhd/alpaca_data_score_max_5200/c3b7bd57-9bc3-4d83-aad9-7d6315748c0a.json
new file mode 100644
index 000000000..25483eeb0
--- /dev/null
+++ b/data/hfopenllm_v2/godlikehhd/alpaca_data_score_max_5200/c3b7bd57-9bc3-4d83-aad9-7d6315748c0a.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/godlikehhd_alpaca_data_score_max_5200/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "alpaca_data_score_max_5200",
+    "id": "godlikehhd/alpaca_data_score_max_5200",
+    "developer": "godlikehhd",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 1.544
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3445
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4242
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0974
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2978
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3878
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2945
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/godlikehhd/alpaca_data_score_max_5200/d877dbd4-b3da-44b5-974a-1267db396435.json b/data/hfopenllm_v2/godlikehhd/alpaca_data_score_max_5200/d877dbd4-b3da-44b5-974a-1267db396435.json
deleted file mode 100644
index 703d5ae12..000000000
--- a/data/hfopenllm_v2/godlikehhd/alpaca_data_score_max_5200/d877dbd4-b3da-44b5-974a-1267db396435.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/godlikehhd_alpaca_data_score_max_5200/1762652580.170327",
-  "retrieved_timestamp": "1762652580.170327",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "godlikehhd/alpaca_data_score_max_5200",
-    "developer": "godlikehhd",
-    "inference_platform": "unknown",
-    "id": "godlikehhd/alpaca_data_score_max_5200",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 1.544
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.34454248061809334
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42417102847687554
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.09743202416918428
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
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new file mode 100644
index 000000000..3d6fa2b02
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+++ b/data/hfopenllm_v2/godlikehhd/ifd_2500_qwen/bce17582-e807-4b91-b0e7-0a890bf5eb24.json
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diff --git a/data/hfopenllm_v2/godlikehhd/ifd_new_correct_all_sample_2500_qwen/f8371e81-f6d4-4441-bc6c-5d4a18da7d08.json b/data/hfopenllm_v2/godlikehhd/ifd_new_correct_all_sample_2500_qwen/f8371e81-f6d4-4441-bc6c-5d4a18da7d08.json
new file mode 100644
index 000000000..9f6d40e63
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diff --git a/data/hfopenllm_v2/godlikehhd/ifd_new_correct_sample_2500_qwen/78407b2e-1f44-46f0-bc21-76bdc68f8d9c.json b/data/hfopenllm_v2/godlikehhd/ifd_new_correct_sample_2500_qwen/78407b2e-1f44-46f0-bc21-76bdc68f8d9c.json
new file mode 100644
index 000000000..72f6ab1df
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diff --git a/data/hfopenllm_v2/godlikehhd/ifd_new_qwen_2500/bdb9e2d2-8d09-4994-a320-2f968bcb4898.json b/data/hfopenllm_v2/godlikehhd/ifd_new_qwen_2500/bdb9e2d2-8d09-4994-a320-2f968bcb4898.json
new file mode 100644
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diff --git a/data/hfopenllm_v2/godlikehhd/qwen-2.5-1.5b-cherry/c57d15c8-9581-4bb5-89e4-2fea1e3c584e.json b/data/hfopenllm_v2/godlikehhd/qwen-2.5-1.5b-cherry/c57d15c8-9581-4bb5-89e4-2fea1e3c584e.json
new file mode 100644
index 000000000..0eae1c7ae
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/godlikehhd/qwen_2.5-1.5b-cherry_new/550d5665-7a8a-437e-b318-000690dd250f.json b/data/hfopenllm_v2/godlikehhd/qwen_2.5-1.5b-cherry_new/550d5665-7a8a-437e-b318-000690dd250f.json
new file mode 100644
index 000000000..8676d2e1f
--- /dev/null
+++ b/data/hfopenllm_v2/godlikehhd/qwen_2.5-1.5b-cherry_new/550d5665-7a8a-437e-b318-000690dd250f.json
@@ -0,0 +1,132 @@
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+    "source_type": "documentation",
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+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
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+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/godlikehhd/qwen_full_data_alpaca/a1922f33-32f5-4f99-8df6-e2080808d292.json b/data/hfopenllm_v2/godlikehhd/qwen_full_data_alpaca/a1922f33-32f5-4f99-8df6-e2080808d292.json
new file mode 100644
index 000000000..0a3408038
--- /dev/null
+++ b/data/hfopenllm_v2/godlikehhd/qwen_full_data_alpaca/a1922f33-32f5-4f99-8df6-e2080808d292.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/godlikehhd_qwen_full_data_alpaca/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "qwen_full_data_alpaca",
+    "id": "godlikehhd/qwen_full_data_alpaca",
+    "developer": "godlikehhd",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 1.544
+    }
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+    {
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+      "source_data": {
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+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
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+        "evaluation_description": "Accuracy on BBH",
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+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
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+    {
+      "evaluation_name": "MATH Level 5",
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
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+        "evaluation_description": "Exact Match on MATH Level 5",
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+        "evaluation_description": "Accuracy on GPQA",
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+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
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+      },
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+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/godlikehhd/qwen_ins_ans_2500/6ccc376b-24a4-42cc-8ea0-823ef14336db.json b/data/hfopenllm_v2/godlikehhd/qwen_ins_ans_2500/6ccc376b-24a4-42cc-8ea0-823ef14336db.json
new file mode 100644
index 000000000..79114530d
--- /dev/null
+++ b/data/hfopenllm_v2/godlikehhd/qwen_ins_ans_2500/6ccc376b-24a4-42cc-8ea0-823ef14336db.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/godlikehhd_qwen_ins_ans_2500/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "qwen_ins_ans_2500",
+    "id": "godlikehhd/qwen_ins_ans_2500",
+    "developer": "godlikehhd",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 1.544
+    }
+  },
+  "evaluation_results": [
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
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+        "lower_is_better": false,
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+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+      },
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+    },
+    {
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3589
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+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
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+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/google/AALF/gemma-2-27b-it-SimPO-37K-100steps/214ebe7f-357a-435c-9bf5-451bdea1ca9a.json b/data/hfopenllm_v2/google/AALF/gemma-2-27b-it-SimPO-37K-100steps/214ebe7f-357a-435c-9bf5-451bdea1ca9a.json
deleted file mode 100644
index 09a6bb34e..000000000
--- a/data/hfopenllm_v2/google/AALF/gemma-2-27b-it-SimPO-37K-100steps/214ebe7f-357a-435c-9bf5-451bdea1ca9a.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-    "developer": "google",
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-    "id": "AALF/gemma-2-27b-it-SimPO-37K-100steps",
-    "additional_details": {
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-}
diff --git a/data/hfopenllm_v2/google/AALF/gemma-2-27b-it-SimPO-37K/878ec84b-a365-4887-b7fd-1dc738f6eda8.json b/data/hfopenllm_v2/google/AALF/gemma-2-27b-it-SimPO-37K/878ec84b-a365-4887-b7fd-1dc738f6eda8.json
deleted file mode 100644
index 54d6ba781..000000000
--- a/data/hfopenllm_v2/google/AALF/gemma-2-27b-it-SimPO-37K/878ec84b-a365-4887-b7fd-1dc738f6eda8.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-    "source_type": "documentation"
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deleted file mode 100644
index c16cdeda6..000000000
--- a/data/hfopenllm_v2/google/AELLM/gemma-2-aeria-infinity-9b/93d08946-76b5-4547-8bf0-966c5cccd8c1.json
+++ /dev/null
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deleted file mode 100644
index 97ddd4d06..000000000
--- a/data/hfopenllm_v2/google/AELLM/gemma-2-lyco-infinity-9b/fa16a47e-4009-487b-8252-1fef155ce6b4.json
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deleted file mode 100644
index 2abf2b8a0..000000000
--- a/data/hfopenllm_v2/google/Aashraf995/Gemma-Evo-10B/15b910c7-6c36-4af8-af78-d48278dbc4db.json
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deleted file mode 100644
index d8888da78..000000000
--- a/data/hfopenllm_v2/google/BAAI/Gemma2-9B-IT-Simpo-Infinity-Preference/0f948238-5ed2-41ee-a815-3ff20728de89.json
+++ /dev/null
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deleted file mode 100644
index b58d6b4b8..000000000
--- a/data/hfopenllm_v2/google/BlackBeenie/Neos-Gemma-2-9b/ea9ebbaa-fb04-491d-adc2-0389cb5d1ef6.json
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diff --git a/data/hfopenllm_v2/google/Columbia-NLP/LION-Gemma-2b-odpo-v1.0/25418041-6fe1-4cd8-88cb-79456a65210c.json b/data/hfopenllm_v2/google/Columbia-NLP/LION-Gemma-2b-odpo-v1.0/25418041-6fe1-4cd8-88cb-79456a65210c.json
deleted file mode 100644
index 327cb7890..000000000
--- a/data/hfopenllm_v2/google/Columbia-NLP/LION-Gemma-2b-odpo-v1.0/25418041-6fe1-4cd8-88cb-79456a65210c.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/google/DavidAU/Gemma-The-Writer-9B/a639bba5-4d0e-4d0b-826a-3eb4d0ccebab.json b/data/hfopenllm_v2/google/DavidAU/Gemma-The-Writer-9B/a639bba5-4d0e-4d0b-826a-3eb4d0ccebab.json
deleted file mode 100644
index 19e6a75a5..000000000
--- a/data/hfopenllm_v2/google/DavidAU/Gemma-The-Writer-9B/a639bba5-4d0e-4d0b-826a-3eb4d0ccebab.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/google/DavidAU/Gemma-The-Writer-DEADLINE-10B/66d2e2a4-a75c-4fb9-af6a-3181f17281af.json b/data/hfopenllm_v2/google/DavidAU/Gemma-The-Writer-DEADLINE-10B/66d2e2a4-a75c-4fb9-af6a-3181f17281af.json
deleted file mode 100644
index 167fee840..000000000
--- a/data/hfopenllm_v2/google/DavidAU/Gemma-The-Writer-DEADLINE-10B/66d2e2a4-a75c-4fb9-af6a-3181f17281af.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/google/DavidAU/Gemma-The-Writer-J.GutenBerg-10B/3d1cef14-ea09-45ca-a92c-a1fe7a05ce8b.json b/data/hfopenllm_v2/google/DavidAU/Gemma-The-Writer-J.GutenBerg-10B/3d1cef14-ea09-45ca-a92c-a1fe7a05ce8b.json
deleted file mode 100644
index 29aa16845..000000000
--- a/data/hfopenllm_v2/google/DavidAU/Gemma-The-Writer-J.GutenBerg-10B/3d1cef14-ea09-45ca-a92c-a1fe7a05ce8b.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/google/DavidAU/Gemma-The-Writer-Mighty-Sword-9B/a403d91c-4f30-4d05-9f00-24ce97cc91ac.json b/data/hfopenllm_v2/google/DavidAU/Gemma-The-Writer-Mighty-Sword-9B/a403d91c-4f30-4d05-9f00-24ce97cc91ac.json
deleted file mode 100644
index 4df7e3189..000000000
--- a/data/hfopenllm_v2/google/DavidAU/Gemma-The-Writer-Mighty-Sword-9B/a403d91c-4f30-4d05-9f00-24ce97cc91ac.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/google/DavidAU/Gemma-The-Writer-N-Restless-Quill-10B-Uncensored/b708a2a6-d738-48a9-9c20-0838bdb19646.json b/data/hfopenllm_v2/google/DavidAU/Gemma-The-Writer-N-Restless-Quill-10B-Uncensored/b708a2a6-d738-48a9-9c20-0838bdb19646.json
deleted file mode 100644
index 759dae739..000000000
--- a/data/hfopenllm_v2/google/DavidAU/Gemma-The-Writer-N-Restless-Quill-10B-Uncensored/b708a2a6-d738-48a9-9c20-0838bdb19646.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/google/EpistemeAI/Athena-gemma-2-2b-it-Philos/21096485-ff49-4481-a530-48746334fceb.json b/data/hfopenllm_v2/google/EpistemeAI/Athena-gemma-2-2b-it-Philos/21096485-ff49-4481-a530-48746334fceb.json
deleted file mode 100644
index 305ef00ee..000000000
--- a/data/hfopenllm_v2/google/EpistemeAI/Athena-gemma-2-2b-it-Philos/21096485-ff49-4481-a530-48746334fceb.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/google/EpistemeAI/Athena-gemma-2-2b-it/a0ca047c-97c2-4ba1-84a7-ba0b00ba6d25.json b/data/hfopenllm_v2/google/EpistemeAI/Athena-gemma-2-2b-it/a0ca047c-97c2-4ba1-84a7-ba0b00ba6d25.json
deleted file mode 100644
index 1a5e93422..000000000
--- a/data/hfopenllm_v2/google/EpistemeAI/Athena-gemma-2-2b-it/a0ca047c-97c2-4ba1-84a7-ba0b00ba6d25.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/google/EpistemeAI/Athene-codegemma-2-7b-it-alpaca-v1.3/c05e106e-203a-49e7-b656-22809ac16037.json b/data/hfopenllm_v2/google/EpistemeAI/Athene-codegemma-2-7b-it-alpaca-v1.3/c05e106e-203a-49e7-b656-22809ac16037.json
deleted file mode 100644
index 8a8869591..000000000
--- a/data/hfopenllm_v2/google/EpistemeAI/Athene-codegemma-2-7b-it-alpaca-v1.3/c05e106e-203a-49e7-b656-22809ac16037.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/google/EpistemeAI2/Athene-codegemma-2-7b-it-alpaca-v1.2/ea4bffba-6e14-4380-a060-2b4deb6d94c0.json b/data/hfopenllm_v2/google/EpistemeAI2/Athene-codegemma-2-7b-it-alpaca-v1.2/ea4bffba-6e14-4380-a060-2b4deb6d94c0.json
deleted file mode 100644
index d4e5f9e06..000000000
--- a/data/hfopenllm_v2/google/EpistemeAI2/Athene-codegemma-2-7b-it-alpaca-v1.2/ea4bffba-6e14-4380-a060-2b4deb6d94c0.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/google/GenVRadmin/AryaBhatta-GemmaOrca-2-Merged/d4bb122a-87b4-482e-8050-7c1716a4ed5b.json b/data/hfopenllm_v2/google/GenVRadmin/AryaBhatta-GemmaOrca-2-Merged/d4bb122a-87b4-482e-8050-7c1716a4ed5b.json
deleted file mode 100644
index 97249e8ad..000000000
--- a/data/hfopenllm_v2/google/GenVRadmin/AryaBhatta-GemmaOrca-2-Merged/d4bb122a-87b4-482e-8050-7c1716a4ed5b.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/google/GenVRadmin/AryaBhatta-GemmaOrca-Merged/179d4baf-7da1-4a56-82e7-35ea45204e13.json b/data/hfopenllm_v2/google/GenVRadmin/AryaBhatta-GemmaOrca-Merged/179d4baf-7da1-4a56-82e7-35ea45204e13.json
deleted file mode 100644
index f2fcc0a8e..000000000
--- a/data/hfopenllm_v2/google/GenVRadmin/AryaBhatta-GemmaOrca-Merged/179d4baf-7da1-4a56-82e7-35ea45204e13.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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deleted file mode 100644
index 823cb0ce9..000000000
--- a/data/hfopenllm_v2/google/GenVRadmin/AryaBhatta-GemmaUltra-Merged/4aca90c3-b0c0-4ec6-ba6b-0d5b09ef63fe.json
+++ /dev/null
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deleted file mode 100644
index fa0f8d10b..000000000
--- a/data/hfopenllm_v2/google/Gunulhona/Gemma-Ko-Merge-PEFT/7891a95c-8d95-4181-96e8-cdc2f6ab538b.json
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deleted file mode 100644
index bf66b914e..000000000
--- a/data/hfopenllm_v2/google/Gunulhona/Gemma-Ko-Merge-PEFT/f9fb4008-db4e-4a84-b12b-050bdf35084f.json
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deleted file mode 100644
index 442840a3c..000000000
--- a/data/hfopenllm_v2/google/Gunulhona/Gemma-Ko-Merge/dccf426d-63bb-4298-958f-d1f4776f03b2.json
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deleted file mode 100644
index a27977aaa..000000000
--- a/data/hfopenllm_v2/google/HuggingFaceH4/zephyr-7b-gemma-v0.1/dcf4d2bb-ee8f-4083-baf6-8870731515fa.json
+++ /dev/null
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diff --git a/data/hfopenllm_v2/google/INSAIT-Institute/BgGPT-Gemma-2-27B-IT-v1.0/51d4db96-4c38-464a-9e7f-0ade67699c8d.json b/data/hfopenllm_v2/google/INSAIT-Institute/BgGPT-Gemma-2-27B-IT-v1.0/51d4db96-4c38-464a-9e7f-0ade67699c8d.json
deleted file mode 100644
index 26d153096..000000000
--- a/data/hfopenllm_v2/google/INSAIT-Institute/BgGPT-Gemma-2-27B-IT-v1.0/51d4db96-4c38-464a-9e7f-0ade67699c8d.json
+++ /dev/null
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diff --git a/data/hfopenllm_v2/google/IlyaGusev/gemma-2-2b-it-abliterated/e3ee4f00-1037-4da7-96e2-934b5ccefd15.json b/data/hfopenllm_v2/google/IlyaGusev/gemma-2-2b-it-abliterated/e3ee4f00-1037-4da7-96e2-934b5ccefd15.json
deleted file mode 100644
index 27b41052d..000000000
--- a/data/hfopenllm_v2/google/IlyaGusev/gemma-2-2b-it-abliterated/e3ee4f00-1037-4da7-96e2-934b5ccefd15.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/google/IlyaGusev/gemma-2-9b-it-abliterated/8a81c9e6-1c72-46f6-98c6-0d3b28ba5633.json b/data/hfopenllm_v2/google/IlyaGusev/gemma-2-9b-it-abliterated/8a81c9e6-1c72-46f6-98c6-0d3b28ba5633.json
deleted file mode 100644
index 2fa34ac9b..000000000
--- a/data/hfopenllm_v2/google/IlyaGusev/gemma-2-9b-it-abliterated/8a81c9e6-1c72-46f6-98c6-0d3b28ba5633.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/google/LenguajeNaturalAI/leniachat-gemma-2b-v0/af954640-6806-4e4c-9c0b-b81215eadfc8.json b/data/hfopenllm_v2/google/LenguajeNaturalAI/leniachat-gemma-2b-v0/af954640-6806-4e4c-9c0b-b81215eadfc8.json
deleted file mode 100644
index c45754e81..000000000
--- a/data/hfopenllm_v2/google/LenguajeNaturalAI/leniachat-gemma-2b-v0/af954640-6806-4e4c-9c0b-b81215eadfc8.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/google/ModelSpace/GemmaX2-28-9B-v0.1/6cb560eb-08f5-4430-8797-1116f1d2f56c.json b/data/hfopenllm_v2/google/ModelSpace/GemmaX2-28-9B-v0.1/6cb560eb-08f5-4430-8797-1116f1d2f56c.json
deleted file mode 100644
index 775c9e77a..000000000
--- a/data/hfopenllm_v2/google/ModelSpace/GemmaX2-28-9B-v0.1/6cb560eb-08f5-4430-8797-1116f1d2f56c.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/google/NAPS-ai/naps-gemma-2-27b-v-0.1.0/8768f068-452f-4a54-bddb-9f6cffaf5a19.json b/data/hfopenllm_v2/google/NAPS-ai/naps-gemma-2-27b-v-0.1.0/8768f068-452f-4a54-bddb-9f6cffaf5a19.json
deleted file mode 100644
index b37a8818c..000000000
--- a/data/hfopenllm_v2/google/NAPS-ai/naps-gemma-2-27b-v-0.1.0/8768f068-452f-4a54-bddb-9f6cffaf5a19.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/google/NAPS-ai/naps-gemma-2-27b-v0.1.0/b004d154-392d-4f31-afbb-547b058996bd.json b/data/hfopenllm_v2/google/NAPS-ai/naps-gemma-2-27b-v0.1.0/b004d154-392d-4f31-afbb-547b058996bd.json
deleted file mode 100644
index 90bce0632..000000000
--- a/data/hfopenllm_v2/google/NAPS-ai/naps-gemma-2-27b-v0.1.0/b004d154-392d-4f31-afbb-547b058996bd.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/google/SaisExperiments/Gemma-2-2B-Stheno-Filtered/16070acb-e8bb-476a-b5aa-863a85cb0aee.json b/data/hfopenllm_v2/google/SaisExperiments/Gemma-2-2B-Stheno-Filtered/16070acb-e8bb-476a-b5aa-863a85cb0aee.json
deleted file mode 100644
index 56ad7f1d6..000000000
--- a/data/hfopenllm_v2/google/SaisExperiments/Gemma-2-2B-Stheno-Filtered/16070acb-e8bb-476a-b5aa-863a85cb0aee.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/google/Skywork/Skywork-Reward-Gemma-2-27B-v0.2/140b0661-2961-46f3-8c75-cb75147e0acc.json b/data/hfopenllm_v2/google/Skywork/Skywork-Reward-Gemma-2-27B-v0.2/140b0661-2961-46f3-8c75-cb75147e0acc.json
deleted file mode 100644
index 8e875bc02..000000000
--- a/data/hfopenllm_v2/google/Skywork/Skywork-Reward-Gemma-2-27B-v0.2/140b0661-2961-46f3-8c75-cb75147e0acc.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/google/Sorawiz/Gemma-9B-Base/246e4c1f-016c-411e-870e-9ade63713daa.json b/data/hfopenllm_v2/google/Sorawiz/Gemma-9B-Base/246e4c1f-016c-411e-870e-9ade63713daa.json
deleted file mode 100644
index f56da30f9..000000000
--- a/data/hfopenllm_v2/google/Sorawiz/Gemma-9B-Base/246e4c1f-016c-411e-870e-9ade63713daa.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/google/Sorawiz/Gemma-Creative-9B-Base/26229a4f-9f53-453f-9899-77808040f8cb.json b/data/hfopenllm_v2/google/Sorawiz/Gemma-Creative-9B-Base/26229a4f-9f53-453f-9899-77808040f8cb.json
deleted file mode 100644
index 77d97ed0d..000000000
--- a/data/hfopenllm_v2/google/Sorawiz/Gemma-Creative-9B-Base/26229a4f-9f53-453f-9899-77808040f8cb.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/google/Supichi/BBAI_135_Gemma/64cd00af-6782-431b-aac1-445e39d56717.json b/data/hfopenllm_v2/google/Supichi/BBAI_135_Gemma/64cd00af-6782-431b-aac1-445e39d56717.json
deleted file mode 100644
index eba73fc24..000000000
--- a/data/hfopenllm_v2/google/Supichi/BBAI_135_Gemma/64cd00af-6782-431b-aac1-445e39d56717.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/google/TheDrummer/Gemmasutra-9B-v1/3f7a68f4-e456-4ecf-8a5f-1f3698822a89.json b/data/hfopenllm_v2/google/TheDrummer/Gemmasutra-9B-v1/3f7a68f4-e456-4ecf-8a5f-1f3698822a89.json
deleted file mode 100644
index d138614ac..000000000
--- a/data/hfopenllm_v2/google/TheDrummer/Gemmasutra-9B-v1/3f7a68f4-e456-4ecf-8a5f-1f3698822a89.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-    "id": "TheDrummer/Gemmasutra-9B-v1",
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diff --git a/data/hfopenllm_v2/google/TheDrummer/Gemmasutra-Mini-2B-v1/3c066bd3-ec6c-412d-86a1-759c228610b9.json b/data/hfopenllm_v2/google/TheDrummer/Gemmasutra-Mini-2B-v1/3c066bd3-ec6c-412d-86a1-759c228610b9.json
deleted file mode 100644
index b4894fff0..000000000
--- a/data/hfopenllm_v2/google/TheDrummer/Gemmasutra-Mini-2B-v1/3c066bd3-ec6c-412d-86a1-759c228610b9.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/google/TheDrummer/Tiger-Gemma-9B-v1/7b093f59-7a4e-4e72-b9a6-7d10870917ea.json b/data/hfopenllm_v2/google/TheDrummer/Tiger-Gemma-9B-v1/7b093f59-7a4e-4e72-b9a6-7d10870917ea.json
deleted file mode 100644
index 5ea02cf9d..000000000
--- a/data/hfopenllm_v2/google/TheDrummer/Tiger-Gemma-9B-v1/7b093f59-7a4e-4e72-b9a6-7d10870917ea.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/google/TheDrummer/Tiger-Gemma-9B-v2/962205b9-009a-4201-b382-5143c80e78ce.json b/data/hfopenllm_v2/google/TheDrummer/Tiger-Gemma-9B-v2/962205b9-009a-4201-b382-5143c80e78ce.json
deleted file mode 100644
index 273890750..000000000
--- a/data/hfopenllm_v2/google/TheDrummer/Tiger-Gemma-9B-v2/962205b9-009a-4201-b382-5143c80e78ce.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/google/TheDrummer/Tiger-Gemma-9B-v3/6fbfd3ba-e28a-4e9d-be12-e04b6d50b9ee.json b/data/hfopenllm_v2/google/TheDrummer/Tiger-Gemma-9B-v3/6fbfd3ba-e28a-4e9d-be12-e04b6d50b9ee.json
deleted file mode 100644
index edbaa9603..000000000
--- a/data/hfopenllm_v2/google/TheDrummer/Tiger-Gemma-9B-v3/6fbfd3ba-e28a-4e9d-be12-e04b6d50b9ee.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/google/Triangle104/Gemmadevi-Stock-10B/153fd43a-fe54-4a99-98dd-5420f2bf8b66.json b/data/hfopenllm_v2/google/Triangle104/Gemmadevi-Stock-10B/153fd43a-fe54-4a99-98dd-5420f2bf8b66.json
deleted file mode 100644
index bd0367ef4..000000000
--- a/data/hfopenllm_v2/google/Triangle104/Gemmadevi-Stock-10B/153fd43a-fe54-4a99-98dd-5420f2bf8b66.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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deleted file mode 100644
index 7fe911c20..000000000
--- a/data/hfopenllm_v2/google/UCLA-AGI/Gemma-2-9B-It-SPPO-Iter1/687769ed-44e9-4f3d-aee6-2dc4e98dd7ee.json
+++ /dev/null
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deleted file mode 100644
index d9958a31d..000000000
--- a/data/hfopenllm_v2/google/UCLA-AGI/Gemma-2-9B-It-SPPO-Iter2/fa584f01-69eb-4ecc-9f0d-049b6bfb05c8.json
+++ /dev/null
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diff --git a/data/hfopenllm_v2/google/UCLA-AGI/Gemma-2-9B-It-SPPO-Iter3/f318d457-d295-4447-9222-0b0d92708b5d.json b/data/hfopenllm_v2/google/UCLA-AGI/Gemma-2-9B-It-SPPO-Iter3/f318d457-d295-4447-9222-0b0d92708b5d.json
deleted file mode 100644
index 7118be0b9..000000000
--- a/data/hfopenllm_v2/google/UCLA-AGI/Gemma-2-9B-It-SPPO-Iter3/f318d457-d295-4447-9222-0b0d92708b5d.json
+++ /dev/null
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diff --git a/data/hfopenllm_v2/google/VAGOsolutions/SauerkrautLM-Gemma-2b/b002a274-9b4f-40ad-b0c7-e4efabbe431f.json b/data/hfopenllm_v2/google/VAGOsolutions/SauerkrautLM-Gemma-2b/b002a274-9b4f-40ad-b0c7-e4efabbe431f.json
deleted file mode 100644
index cfb7b42f6..000000000
--- a/data/hfopenllm_v2/google/VAGOsolutions/SauerkrautLM-Gemma-2b/b002a274-9b4f-40ad-b0c7-e4efabbe431f.json
+++ /dev/null
@@ -1,105 +0,0 @@
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deleted file mode 100644
index 09155e563..000000000
--- a/data/hfopenllm_v2/google/VAGOsolutions/SauerkrautLM-Gemma-7b/e66f4326-2585-4581-b45f-d9a81fb1576c.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/google/VAGOsolutions/SauerkrautLM-gemma-2-2b-it/b010858c-edb5-4e49-b5b6-72b06943ab2c.json b/data/hfopenllm_v2/google/VAGOsolutions/SauerkrautLM-gemma-2-2b-it/b010858c-edb5-4e49-b5b6-72b06943ab2c.json
deleted file mode 100644
index 23a75486b..000000000
--- a/data/hfopenllm_v2/google/VAGOsolutions/SauerkrautLM-gemma-2-2b-it/b010858c-edb5-4e49-b5b6-72b06943ab2c.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/google/VAGOsolutions/SauerkrautLM-gemma-2-9b-it/5395cbac-afe0-4936-b4eb-f554fcb5be75.json b/data/hfopenllm_v2/google/VAGOsolutions/SauerkrautLM-gemma-2-9b-it/5395cbac-afe0-4936-b4eb-f554fcb5be75.json
deleted file mode 100644
index 2623d45f1..000000000
--- a/data/hfopenllm_v2/google/VAGOsolutions/SauerkrautLM-gemma-2-9b-it/5395cbac-afe0-4936-b4eb-f554fcb5be75.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/google/Youlln/4PRYMMAL-GEMMA2-9B-SLERP/06b75d54-4d17-4116-a4d5-0917eedb2dc4.json b/data/hfopenllm_v2/google/Youlln/4PRYMMAL-GEMMA2-9B-SLERP/06b75d54-4d17-4116-a4d5-0917eedb2dc4.json
deleted file mode 100644
index 19842195b..000000000
--- a/data/hfopenllm_v2/google/Youlln/4PRYMMAL-GEMMA2-9B-SLERP/06b75d54-4d17-4116-a4d5-0917eedb2dc4.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/google/ZHLiu627/zephyr-7b-gemma-rpo-avg/6333359d-1cf7-4905-9a48-f8a8f7b46ed2.json b/data/hfopenllm_v2/google/ZHLiu627/zephyr-7b-gemma-rpo-avg/6333359d-1cf7-4905-9a48-f8a8f7b46ed2.json
deleted file mode 100644
index bedcf6cf1..000000000
--- a/data/hfopenllm_v2/google/ZHLiu627/zephyr-7b-gemma-rpo-avg/6333359d-1cf7-4905-9a48-f8a8f7b46ed2.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/google/agentlans/Gemma2-9B-AdvancedFuse/3bcdf1ca-ad29-45cf-ac97-6bc508981545.json b/data/hfopenllm_v2/google/agentlans/Gemma2-9B-AdvancedFuse/3bcdf1ca-ad29-45cf-ac97-6bc508981545.json
deleted file mode 100644
index 3e2037bc2..000000000
--- a/data/hfopenllm_v2/google/agentlans/Gemma2-9B-AdvancedFuse/3bcdf1ca-ad29-45cf-ac97-6bc508981545.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/google/allknowingroger/Gemma2Slerp1-2.6B/e52ac657-26a3-499a-949f-bf2a0b620d8e.json b/data/hfopenllm_v2/google/allknowingroger/Gemma2Slerp1-2.6B/e52ac657-26a3-499a-949f-bf2a0b620d8e.json
deleted file mode 100644
index dbf9c6435..000000000
--- a/data/hfopenllm_v2/google/allknowingroger/Gemma2Slerp1-2.6B/e52ac657-26a3-499a-949f-bf2a0b620d8e.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/google/allknowingroger/Gemma2Slerp1-27B/42d79295-bdb0-411d-b1b0-5cff954e925c.json b/data/hfopenllm_v2/google/allknowingroger/Gemma2Slerp1-27B/42d79295-bdb0-411d-b1b0-5cff954e925c.json
deleted file mode 100644
index 9b90cef6d..000000000
--- a/data/hfopenllm_v2/google/allknowingroger/Gemma2Slerp1-27B/42d79295-bdb0-411d-b1b0-5cff954e925c.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/google/allknowingroger/Gemma2Slerp2-2.6B/eeb46285-0c8d-43b7-9b6d-e86c24064fde.json b/data/hfopenllm_v2/google/allknowingroger/Gemma2Slerp2-2.6B/eeb46285-0c8d-43b7-9b6d-e86c24064fde.json
deleted file mode 100644
index 1c468574e..000000000
--- a/data/hfopenllm_v2/google/allknowingroger/Gemma2Slerp2-2.6B/eeb46285-0c8d-43b7-9b6d-e86c24064fde.json
+++ /dev/null
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diff --git a/data/hfopenllm_v2/google/allknowingroger/Gemma2Slerp2-27B/1f2c33e8-2d7b-4bd5-81e8-1c9bcae0ae8f.json b/data/hfopenllm_v2/google/allknowingroger/Gemma2Slerp2-27B/1f2c33e8-2d7b-4bd5-81e8-1c9bcae0ae8f.json
deleted file mode 100644
index 1e4d94bc9..000000000
--- a/data/hfopenllm_v2/google/allknowingroger/Gemma2Slerp2-27B/1f2c33e8-2d7b-4bd5-81e8-1c9bcae0ae8f.json
+++ /dev/null
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diff --git a/data/hfopenllm_v2/google/allknowingroger/Gemma2Slerp3-27B/648810d4-4dd5-48c7-a4d7-b3d9d2f3f3f2.json b/data/hfopenllm_v2/google/allknowingroger/Gemma2Slerp3-27B/648810d4-4dd5-48c7-a4d7-b3d9d2f3f3f2.json
deleted file mode 100644
index 723c89cdb..000000000
--- a/data/hfopenllm_v2/google/allknowingroger/Gemma2Slerp3-27B/648810d4-4dd5-48c7-a4d7-b3d9d2f3f3f2.json
+++ /dev/null
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deleted file mode 100644
index 397c2a094..000000000
--- a/data/hfopenllm_v2/google/allknowingroger/Gemma2Slerp4-27B/f94f3bf1-cf85-4673-a5cf-368f250233e4.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/google/allknowingroger/GemmaSlerp-9B/3aed9fd2-45bd-4568-8885-7fc2370bb26d.json b/data/hfopenllm_v2/google/allknowingroger/GemmaSlerp-9B/3aed9fd2-45bd-4568-8885-7fc2370bb26d.json
deleted file mode 100644
index 1e24494a1..000000000
--- a/data/hfopenllm_v2/google/allknowingroger/GemmaSlerp-9B/3aed9fd2-45bd-4568-8885-7fc2370bb26d.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/google/allknowingroger/GemmaSlerp2-9B/99333370-c7d5-4763-b3a4-14adde0fab9e.json b/data/hfopenllm_v2/google/allknowingroger/GemmaSlerp2-9B/99333370-c7d5-4763-b3a4-14adde0fab9e.json
deleted file mode 100644
index 5a2c26ea6..000000000
--- a/data/hfopenllm_v2/google/allknowingroger/GemmaSlerp2-9B/99333370-c7d5-4763-b3a4-14adde0fab9e.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/google/allknowingroger/GemmaSlerp4-10B/32e38c82-d412-4888-9d9d-f89aef0989fd.json b/data/hfopenllm_v2/google/allknowingroger/GemmaSlerp4-10B/32e38c82-d412-4888-9d9d-f89aef0989fd.json
deleted file mode 100644
index ddacaa254..000000000
--- a/data/hfopenllm_v2/google/allknowingroger/GemmaSlerp4-10B/32e38c82-d412-4888-9d9d-f89aef0989fd.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/google/allknowingroger/GemmaSlerp5-10B/e325b56f-4306-4e37-adc5-c09b300a8c30.json b/data/hfopenllm_v2/google/allknowingroger/GemmaSlerp5-10B/e325b56f-4306-4e37-adc5-c09b300a8c30.json
deleted file mode 100644
index f7ebc56d5..000000000
--- a/data/hfopenllm_v2/google/allknowingroger/GemmaSlerp5-10B/e325b56f-4306-4e37-adc5-c09b300a8c30.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/google/allknowingroger/GemmaStock1-27B/0b19d8bb-1952-4515-8d29-e55e1106e92b.json b/data/hfopenllm_v2/google/allknowingroger/GemmaStock1-27B/0b19d8bb-1952-4515-8d29-e55e1106e92b.json
deleted file mode 100644
index fc6a1b13f..000000000
--- a/data/hfopenllm_v2/google/allknowingroger/GemmaStock1-27B/0b19d8bb-1952-4515-8d29-e55e1106e92b.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/google/anakin87/gemma-2b-orpo/80531a18-00d3-4264-bf84-cd1d4d90df08.json b/data/hfopenllm_v2/google/anakin87/gemma-2b-orpo/80531a18-00d3-4264-bf84-cd1d4d90df08.json
deleted file mode 100644
index 5a9f4cbb4..000000000
--- a/data/hfopenllm_v2/google/anakin87/gemma-2b-orpo/80531a18-00d3-4264-bf84-cd1d4d90df08.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/google/anthracite-org/magnum-v3-9b-customgemma2/865b86aa-7b8d-4619-aa57-3c57cc4c7b51.json b/data/hfopenllm_v2/google/anthracite-org/magnum-v3-9b-customgemma2/865b86aa-7b8d-4619-aa57-3c57cc4c7b51.json
deleted file mode 100644
index aaf7ad005..000000000
--- a/data/hfopenllm_v2/google/anthracite-org/magnum-v3-9b-customgemma2/865b86aa-7b8d-4619-aa57-3c57cc4c7b51.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/google/beomi/gemma-mling-7b/2568a2b7-e95c-4224-9850-5816466b50f2.json b/data/hfopenllm_v2/google/beomi/gemma-mling-7b/2568a2b7-e95c-4224-9850-5816466b50f2.json
deleted file mode 100644
index c57192acc..000000000
--- a/data/hfopenllm_v2/google/beomi/gemma-mling-7b/2568a2b7-e95c-4224-9850-5816466b50f2.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/google/bunnycore/Gemma-2-2B-Smart/ebada07f-e700-4f38-aec0-f801959969e6.json b/data/hfopenllm_v2/google/bunnycore/Gemma-2-2B-Smart/ebada07f-e700-4f38-aec0-f801959969e6.json
deleted file mode 100644
index b5b203959..000000000
--- a/data/hfopenllm_v2/google/bunnycore/Gemma-2-2B-Smart/ebada07f-e700-4f38-aec0-f801959969e6.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/google/bunnycore/Gemma2-9B-TitanFusion/95a2d032-e2a4-46df-84d2-6b7529d5bb01.json b/data/hfopenllm_v2/google/bunnycore/Gemma2-9B-TitanFusion/95a2d032-e2a4-46df-84d2-6b7529d5bb01.json
deleted file mode 100644
index c9937f1da..000000000
--- a/data/hfopenllm_v2/google/bunnycore/Gemma2-9B-TitanFusion/95a2d032-e2a4-46df-84d2-6b7529d5bb01.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/google/cat-searcher/gemma-2-9b-it-sppo-iter-1-evol-1/af7a7129-1b6a-4ff5-952f-075ae4f7c137.json b/data/hfopenllm_v2/google/cat-searcher/gemma-2-9b-it-sppo-iter-1-evol-1/af7a7129-1b6a-4ff5-952f-075ae4f7c137.json
deleted file mode 100644
index 4d729583e..000000000
--- a/data/hfopenllm_v2/google/cat-searcher/gemma-2-9b-it-sppo-iter-1-evol-1/af7a7129-1b6a-4ff5-952f-075ae4f7c137.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/google/cat-searcher/gemma-2-9b-it-sppo-iter-1/3c33f6b0-dc40-4a61-bbbe-063b9d8d30e3.json b/data/hfopenllm_v2/google/cat-searcher/gemma-2-9b-it-sppo-iter-1/3c33f6b0-dc40-4a61-bbbe-063b9d8d30e3.json
deleted file mode 100644
index 74dccf2fa..000000000
--- a/data/hfopenllm_v2/google/cat-searcher/gemma-2-9b-it-sppo-iter-1/3c33f6b0-dc40-4a61-bbbe-063b9d8d30e3.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/google/codegemma-1.1-2b/6547b6f3-63dd-4516-b294-62c4246c3dc7.json b/data/hfopenllm_v2/google/codegemma-1.1-2b/6547b6f3-63dd-4516-b294-62c4246c3dc7.json
new file mode 100644
index 000000000..262dce559
--- /dev/null
+++ b/data/hfopenllm_v2/google/codegemma-1.1-2b/6547b6f3-63dd-4516-b294-62c4246c3dc7.json
@@ -0,0 +1,132 @@
+{
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+      },
+      "score_details": {
+        "score": 0.3353
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0128
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2651
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3871
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1278
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/google/cognitivecomputations/dolphin-2.9.4-gemma2-2b/29a10f53-dd38-437b-a7f3-9756035df640.json b/data/hfopenllm_v2/google/cognitivecomputations/dolphin-2.9.4-gemma2-2b/29a10f53-dd38-437b-a7f3-9756035df640.json
deleted file mode 100644
index 0662cbd01..000000000
--- a/data/hfopenllm_v2/google/cognitivecomputations/dolphin-2.9.4-gemma2-2b/29a10f53-dd38-437b-a7f3-9756035df640.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/cognitivecomputations_dolphin-2.9.4-gemma2-2b/1762652580.115823",
-  "retrieved_timestamp": "1762652580.115823",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "cognitivecomputations/dolphin-2.9.4-gemma2-2b",
-    "developer": "google",
-    "inference_platform": "unknown",
-    "id": "cognitivecomputations/dolphin-2.9.4-gemma2-2b",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Gemma2ForCausalLM",
-      "params_billions": 2.614
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-      }
-    },
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.40813187411055213
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.04909365558912387
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-    },
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-      "evaluation_name": "GPQA",
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-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.28439597315436244
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-    },
-    {
-      "evaluation_name": "MUSR",
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-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41796875
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2105219414893617
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/google/djuna/Gemma-2-gemmama-9b/b2f24392-29aa-4a24-b489-87ea9b85daea.json b/data/hfopenllm_v2/google/djuna/Gemma-2-gemmama-9b/b2f24392-29aa-4a24-b489-87ea9b85daea.json
deleted file mode 100644
index 89719ac15..000000000
--- a/data/hfopenllm_v2/google/djuna/Gemma-2-gemmama-9b/b2f24392-29aa-4a24-b489-87ea9b85daea.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/djuna_Gemma-2-gemmama-9b/1762652580.12782",
-  "retrieved_timestamp": "1762652580.127821",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "djuna/Gemma-2-gemmama-9b",
-    "developer": "google",
-    "inference_platform": "unknown",
-    "id": "djuna/Gemma-2-gemmama-9b",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Gemma2ForCausalLM",
-      "params_billions": 10.159
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7703404743857409
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5420037856495951
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
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-        "score": 0.19259818731117825
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-    },
-    {
-      "evaluation_name": "GPQA",
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.33557046979865773
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4031458333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3109208776595745
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/google/dwikitheduck/gemma-2-2b-id-inst/6d66b056-c83d-49b8-ac84-04396c0d97df.json b/data/hfopenllm_v2/google/dwikitheduck/gemma-2-2b-id-inst/6d66b056-c83d-49b8-ac84-04396c0d97df.json
deleted file mode 100644
index 44798c8c1..000000000
--- a/data/hfopenllm_v2/google/dwikitheduck/gemma-2-2b-id-inst/6d66b056-c83d-49b8-ac84-04396c0d97df.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/dwikitheduck_gemma-2-2b-id-inst/1762652580.137194",
-  "retrieved_timestamp": "1762652580.137195",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "dwikitheduck/gemma-2-2b-id-inst",
-    "developer": "google",
-    "inference_platform": "unknown",
-    "id": "dwikitheduck/gemma-2-2b-id-inst",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Gemma2ForCausalLM",
-      "params_billions": 2.0
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.38785644312646006
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.39621721241423097
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-    },
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-        "score_type": "continuous",
-        "min_score": 0,
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-      },
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.21733710106382978
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/google/dwikitheduck/gemma-2-2b-id/000b7f0b-9e2f-499a-9bab-b08767efb8ca.json b/data/hfopenllm_v2/google/dwikitheduck/gemma-2-2b-id/000b7f0b-9e2f-499a-9bab-b08767efb8ca.json
deleted file mode 100644
index 6d6aa1261..000000000
--- a/data/hfopenllm_v2/google/dwikitheduck/gemma-2-2b-id/000b7f0b-9e2f-499a-9bab-b08767efb8ca.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/dwikitheduck_gemma-2-2b-id/1762652580.136933",
-  "retrieved_timestamp": "1762652580.136933",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "dwikitheduck/gemma-2-2b-id",
-    "developer": "google",
-    "inference_platform": "unknown",
-    "id": "dwikitheduck/gemma-2-2b-id",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Gemma2ForCausalLM",
-      "params_billions": 2.0
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
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-        "evaluation_description": "Accuracy on IFEval",
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-        "min_score": 0,
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    {
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-    {
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-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-  ]
-}
diff --git a/data/hfopenllm_v2/google/ehristoforu/Gemma2-9B-it-psy10k-mental_health/25c93024-ce65-49d5-96da-00107bb37f77.json b/data/hfopenllm_v2/google/ehristoforu/Gemma2-9B-it-psy10k-mental_health/25c93024-ce65-49d5-96da-00107bb37f77.json
deleted file mode 100644
index 7dd4b281a..000000000
--- a/data/hfopenllm_v2/google/ehristoforu/Gemma2-9B-it-psy10k-mental_health/25c93024-ce65-49d5-96da-00107bb37f77.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/ehristoforu_Gemma2-9B-it-psy10k-mental_health/1762652580.139083",
-  "retrieved_timestamp": "1762652580.139084",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "ehristoforu/Gemma2-9B-it-psy10k-mental_health",
-    "developer": "google",
-    "inference_platform": "unknown",
-    "id": "ehristoforu/Gemma2-9B-it-psy10k-mental_health",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Gemma2ForCausalLM",
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-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
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-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
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-        "score_type": "continuous",
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-      },
-      "score_details": {
-        "score": 0.5539376944027642
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-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
-        "score": 0.337248322147651
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.40860416666666666
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-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
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-      },
-      "score_details": {
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-}
diff --git a/data/hfopenllm_v2/google/ehristoforu/Gemma2-9b-it-train6/e289e629-17dd-440e-8839-d5dcbe535fd6.json b/data/hfopenllm_v2/google/ehristoforu/Gemma2-9b-it-train6/e289e629-17dd-440e-8839-d5dcbe535fd6.json
deleted file mode 100644
index 79f72dc7a..000000000
--- a/data/hfopenllm_v2/google/ehristoforu/Gemma2-9b-it-train6/e289e629-17dd-440e-8839-d5dcbe535fd6.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-    "source_name": "HF Open LLM v2",
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-    "developer": "google",
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-    "id": "ehristoforu/Gemma2-9b-it-train6",
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-      "score_details": {
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/google/ell44ot/gemma-2b-def/9ba31c7b-13df-46f2-a164-1729563707e1.json b/data/hfopenllm_v2/google/ell44ot/gemma-2b-def/9ba31c7b-13df-46f2-a164-1729563707e1.json
deleted file mode 100644
index b48fe8c4c..000000000
--- a/data/hfopenllm_v2/google/ell44ot/gemma-2b-def/9ba31c7b-13df-46f2-a164-1729563707e1.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/ell44ot_gemma-2b-def/1762652580.147274",
-  "retrieved_timestamp": "1762652580.147275",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
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-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "ell44ot/gemma-2b-def",
-    "developer": "google",
-    "inference_platform": "unknown",
-    "id": "ell44ot/gemma-2b-def",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "GemmaModel",
-      "params_billions": 1.546
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.26930433472076315
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.31586532094752634
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MUSR",
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-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.36702083333333335
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.15724734042553193
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-    }
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-}
diff --git a/data/hfopenllm_v2/google/flan-t5-base/69eb63bf-72dd-4995-a8ec-49fd304a8ee7.json b/data/hfopenllm_v2/google/flan-t5-base/69eb63bf-72dd-4995-a8ec-49fd304a8ee7.json
deleted file mode 100644
index e5838932c..000000000
--- a/data/hfopenllm_v2/google/flan-t5-base/69eb63bf-72dd-4995-a8ec-49fd304a8ee7.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/google_flan-t5-base/1762652580.172907",
-  "retrieved_timestamp": "1762652580.172908",
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
-    "name": "google/flan-t5-base",
-    "developer": "google",
-    "inference_platform": "unknown",
-    "id": "google/flan-t5-base",
-    "additional_details": {
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-      "architecture": "T5ForConditionalGeneration",
-      "params_billions": 0.248
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-        "score_type": "continuous",
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-      "score_details": {
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-    {
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
-        "score": 0.36711458333333336
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.13572140957446807
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/google/flan-t5-base/a58bf2d3-d209-41b8-a795-ba7a16e4a28f.json b/data/hfopenllm_v2/google/flan-t5-base/a58bf2d3-d209-41b8-a795-ba7a16e4a28f.json
new file mode 100644
index 000000000..42df32f4d
--- /dev/null
+++ b/data/hfopenllm_v2/google/flan-t5-base/a58bf2d3-d209-41b8-a795-ba7a16e4a28f.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/google_flan-t5-base/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "flan-t5-base",
+    "id": "google/flan-t5-base",
+    "developer": "google",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "T5ForConditionalGeneration",
+      "params_billions": 0.248
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1891
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3526
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0106
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2383
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3671
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1357
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/google/flan-t5-large/b15ad3b5-7ef2-439e-9acd-a85eab520d31.json b/data/hfopenllm_v2/google/flan-t5-large/b15ad3b5-7ef2-439e-9acd-a85eab520d31.json
new file mode 100644
index 000000000..12a83a4b2
--- /dev/null
+++ b/data/hfopenllm_v2/google/flan-t5-large/b15ad3b5-7ef2-439e-9acd-a85eab520d31.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/google_flan-t5-large/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "flan-t5-large",
+    "id": "google/flan-t5-large",
+    "developer": "google",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "T5ForConditionalGeneration",
+      "params_billions": 0.783
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2201
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4153
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0144
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2508
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4083
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1709
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/google/flan-t5-large/eb2e1202-9292-4f5e-a366-abc84897c66d.json b/data/hfopenllm_v2/google/flan-t5-large/eb2e1202-9292-4f5e-a366-abc84897c66d.json
deleted file mode 100644
index 79a0186fa..000000000
--- a/data/hfopenllm_v2/google/flan-t5-large/eb2e1202-9292-4f5e-a366-abc84897c66d.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/google_flan-t5-large/1762652580.173132",
-  "retrieved_timestamp": "1762652580.1731331",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "google/flan-t5-large",
-    "developer": "google",
-    "inference_platform": "unknown",
-    "id": "google/flan-t5-large",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "T5ForConditionalGeneration",
-      "params_billions": 0.783
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.22009490374428736
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41531150356794316
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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diff --git a/data/hfopenllm_v2/google/flan-t5-small/368a36c5-8211-4240-ac88-3fd5e5414310.json b/data/hfopenllm_v2/google/flan-t5-small/368a36c5-8211-4240-ac88-3fd5e5414310.json
deleted file mode 100644
index 2d8eb105a..000000000
--- a/data/hfopenllm_v2/google/flan-t5-small/368a36c5-8211-4240-ac88-3fd5e5414310.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/google_flan-t5-small/1762652580.173366",
-  "retrieved_timestamp": "1762652580.173366",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "google/flan-t5-small",
-    "developer": "google",
-    "inference_platform": "unknown",
-    "id": "google/flan-t5-small",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "T5ForConditionalGeneration",
-      "params_billions": 0.077
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1524255641697363
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
-        "score": 0.3282901097640842
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-    {
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-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "evaluation_name": "GPQA",
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-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
-        "score": 0.2609060402684564
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-    },
-    {
-      "evaluation_name": "MUSR",
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-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
-        "score": 0.41229166666666667
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    }
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-}
diff --git a/data/hfopenllm_v2/google/flan-t5-small/64da2654-9fdb-4a08-ad16-cf8793a30ed8.json b/data/hfopenllm_v2/google/flan-t5-small/64da2654-9fdb-4a08-ad16-cf8793a30ed8.json
new file mode 100644
index 000000000..736e0e185
--- /dev/null
+++ b/data/hfopenllm_v2/google/flan-t5-small/64da2654-9fdb-4a08-ad16-cf8793a30ed8.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/google_flan-t5-small/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "flan-t5-small",
+    "id": "google/flan-t5-small",
+    "developer": "google",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "T5ForConditionalGeneration",
+      "params_billions": 0.077
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1524
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3283
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0076
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2609
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4123
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1233
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/google/flan-t5-xl/37080215-ee30-4e59-a407-b14695ac2a38.json b/data/hfopenllm_v2/google/flan-t5-xl/37080215-ee30-4e59-a407-b14695ac2a38.json
new file mode 100644
index 000000000..5eaa5962e
--- /dev/null
+++ b/data/hfopenllm_v2/google/flan-t5-xl/37080215-ee30-4e59-a407-b14695ac2a38.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/google_flan-t5-xl/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "flan-t5-xl",
+    "id": "google/flan-t5-xl",
+    "developer": "google",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "T5ForConditionalGeneration",
+      "params_billions": 2.85
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2237
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4531
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0076
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2525
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4181
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2147
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/google/flan-t5-xl/98a6a294-7b5d-4279-8aa6-6ed16248ce0b.json b/data/hfopenllm_v2/google/flan-t5-xl/98a6a294-7b5d-4279-8aa6-6ed16248ce0b.json
deleted file mode 100644
index 58ea882b2..000000000
--- a/data/hfopenllm_v2/google/flan-t5-xl/98a6a294-7b5d-4279-8aa6-6ed16248ce0b.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/google_flan-t5-xl/1762652580.1738272",
-  "retrieved_timestamp": "1762652580.1738281",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "google/flan-t5-xl",
-    "developer": "google",
-    "inference_platform": "unknown",
-    "id": "google/flan-t5-xl",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "T5ForConditionalGeneration",
-      "params_billions": 2.85
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2206944241279804
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.45372172155693963
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.0007552870090634442
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.24580536912751677
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42203125
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.21417885638297873
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/google/flan-t5-xl/ab0ac321-1c2b-4523-b48c-de47ff06e7a3.json b/data/hfopenllm_v2/google/flan-t5-xl/ab0ac321-1c2b-4523-b48c-de47ff06e7a3.json
deleted file mode 100644
index f899cbfae..000000000
--- a/data/hfopenllm_v2/google/flan-t5-xl/ab0ac321-1c2b-4523-b48c-de47ff06e7a3.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/google_flan-t5-xl/1762652580.173602",
-  "retrieved_timestamp": "1762652580.173603",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "google/flan-t5-xl",
-    "developer": "google",
-    "inference_platform": "unknown",
-    "id": "google/flan-t5-xl",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "T5ForConditionalGeneration",
-      "params_billions": 2.85
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.22374189373085634
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.45310636062112314
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.0075528700906344415
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2525167785234899
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41809375
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.21467752659574468
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/google/flan-t5-xl/b83a0ce7-bf13-4a98-81f3-04e5a44105f7.json b/data/hfopenllm_v2/google/flan-t5-xl/b83a0ce7-bf13-4a98-81f3-04e5a44105f7.json
new file mode 100644
index 000000000..e4219b2cd
--- /dev/null
+++ b/data/hfopenllm_v2/google/flan-t5-xl/b83a0ce7-bf13-4a98-81f3-04e5a44105f7.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/google_flan-t5-xl/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "flan-t5-xl",
+    "id": "google/flan-t5-xl",
+    "developer": "google",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "T5ForConditionalGeneration",
+      "params_billions": 2.85
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2207
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4537
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0008
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2458
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.422
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2142
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/google/flan-t5-xxl/bb7bea21-5bc6-460d-98ff-b3ed02d5b215.json b/data/hfopenllm_v2/google/flan-t5-xxl/bb7bea21-5bc6-460d-98ff-b3ed02d5b215.json
new file mode 100644
index 000000000..e29cc1652
--- /dev/null
+++ b/data/hfopenllm_v2/google/flan-t5-xxl/bb7bea21-5bc6-460d-98ff-b3ed02d5b215.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/google_flan-t5-xxl/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "flan-t5-xxl",
+    "id": "google/flan-t5-xxl",
+    "developer": "google",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "T5ForConditionalGeneration",
+      "params_billions": 11.267
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.22
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5066
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0106
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2701
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4218
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2343
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/google/flan-t5-xxl/e15f4783-510e-4b92-a999-072caa425d4c.json b/data/hfopenllm_v2/google/flan-t5-xxl/e15f4783-510e-4b92-a999-072caa425d4c.json
deleted file mode 100644
index 37661faa3..000000000
--- a/data/hfopenllm_v2/google/flan-t5-xxl/e15f4783-510e-4b92-a999-072caa425d4c.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/google_flan-t5-xxl/1762652580.174026",
-  "retrieved_timestamp": "1762652580.174026",
-  "source_data": [
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-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "google/flan-t5-xxl",
-    "developer": "google",
-    "inference_platform": "unknown",
-    "id": "google/flan-t5-xxl",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "T5ForConditionalGeneration",
-      "params_billions": 11.267
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5065888015776924
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.010574018126888218
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42175
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.23429188829787234
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/google/flan-ul2/99941572-3e23-467c-97df-dfe1a2aa9805.json b/data/hfopenllm_v2/google/flan-ul2/99941572-3e23-467c-97df-dfe1a2aa9805.json
deleted file mode 100644
index f6a6f92d5..000000000
--- a/data/hfopenllm_v2/google/flan-ul2/99941572-3e23-467c-97df-dfe1a2aa9805.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/google_flan-ul2/1762652580.174251",
-  "retrieved_timestamp": "1762652580.174251",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "google/flan-ul2",
-    "developer": "google",
-    "inference_platform": "unknown",
-    "id": "google/flan-ul2",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "T5ForConditionalGeneration",
-      "params_billions": 19.46
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
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-        "score_type": "continuous",
-        "min_score": 0,
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-      },
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.287751677852349
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3843541666666666
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.24933510638297873
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/google/flan-ul2/da9ddecc-43cf-4055-a19e-795b1ee98826.json b/data/hfopenllm_v2/google/flan-ul2/da9ddecc-43cf-4055-a19e-795b1ee98826.json
new file mode 100644
index 000000000..efa59a78c
--- /dev/null
+++ b/data/hfopenllm_v2/google/flan-ul2/da9ddecc-43cf-4055-a19e-795b1ee98826.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/google_flan-ul2/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "flan-ul2",
+    "id": "google/flan-ul2",
+    "developer": "google",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "T5ForConditionalGeneration",
+      "params_billions": 19.46
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2393
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5054
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0091
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2878
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3844
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2493
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/google/gemma-1.1-2b-it/a93ccb3f-f2d9-415d-8397-0c7fb765fada.json b/data/hfopenllm_v2/google/gemma-1.1-2b-it/a93ccb3f-f2d9-415d-8397-0c7fb765fada.json
new file mode 100644
index 000000000..f13cf1295
--- /dev/null
+++ b/data/hfopenllm_v2/google/gemma-1.1-2b-it/a93ccb3f-f2d9-415d-8397-0c7fb765fada.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/google_gemma-1.1-2b-it/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "gemma-1.1-2b-it",
+    "id": "google/gemma-1.1-2b-it",
+    "developer": "google",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "GemmaForCausalLM",
+      "params_billions": 2.506
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3067
+      }
+    },
+    {
+      "evaluation_name": "BBH",
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diff --git a/data/hfopenllm_v2/google/gemma-1.1-7b-it/d0f86765-bdb4-4367-986b-28303bbe1844.json b/data/hfopenllm_v2/google/gemma-1.1-7b-it/d0f86765-bdb4-4367-986b-28303bbe1844.json
new file mode 100644
index 000000000..53d0c2f3f
--- /dev/null
+++ b/data/hfopenllm_v2/google/gemma-1.1-7b-it/d0f86765-bdb4-4367-986b-28303bbe1844.json
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new file mode 100644
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diff --git a/data/hfopenllm_v2/google/gemma-2-27b/7b2c0b72-6421-4f33-8593-a4bbfd0c6d6b.json b/data/hfopenllm_v2/google/gemma-2-27b/7b2c0b72-6421-4f33-8593-a4bbfd0c6d6b.json
new file mode 100644
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diff --git a/data/hfopenllm_v2/google/gemma-2-2b-it/c4ee822f-fc8b-4523-95b6-7c3f12a334b3.json b/data/hfopenllm_v2/google/gemma-2-2b-it/c4ee822f-fc8b-4523-95b6-7c3f12a334b3.json
new file mode 100644
index 000000000..9103c1efd
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+++ b/data/hfopenllm_v2/google/gemma-2-2b-it/c4ee822f-fc8b-4523-95b6-7c3f12a334b3.json
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diff --git a/data/hfopenllm_v2/google/gemma-2-2b-jpn-it/1810033a-185b-4c91-91d3-43b8f6c61443.json b/data/hfopenllm_v2/google/gemma-2-2b-jpn-it/1810033a-185b-4c91-91d3-43b8f6c61443.json
new file mode 100644
index 000000000..4fde83e45
--- /dev/null
+++ b/data/hfopenllm_v2/google/gemma-2-2b-jpn-it/1810033a-185b-4c91-91d3-43b8f6c61443.json
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diff --git a/data/hfopenllm_v2/google/gemma-2-2b-jpn-it/beb721ae-a35c-4f6b-a80f-aac4835d5f8d.json b/data/hfopenllm_v2/google/gemma-2-2b-jpn-it/beb721ae-a35c-4f6b-a80f-aac4835d5f8d.json
new file mode 100644
index 000000000..1442b3bca
--- /dev/null
+++ b/data/hfopenllm_v2/google/gemma-2-2b-jpn-it/beb721ae-a35c-4f6b-a80f-aac4835d5f8d.json
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diff --git a/data/hfopenllm_v2/google/gemma-2-2b/cf20e77a-340f-4d8d-b593-9645bdfc5877.json b/data/hfopenllm_v2/google/gemma-2-2b/cf20e77a-340f-4d8d-b593-9645bdfc5877.json
new file mode 100644
index 000000000..c8343d88b
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diff --git a/data/hfopenllm_v2/google/gemma-2-2b/eec73e49-ac2b-42ed-a115-76e45007cd5d.json b/data/hfopenllm_v2/google/gemma-2-2b/eec73e49-ac2b-42ed-a115-76e45007cd5d.json
new file mode 100644
index 000000000..96086b370
--- /dev/null
+++ b/data/hfopenllm_v2/google/gemma-2-2b/eec73e49-ac2b-42ed-a115-76e45007cd5d.json
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/google/gemma-2-9b-it/aa06d058-87f9-4fde-ad53-139b29a71448.json b/data/hfopenllm_v2/google/gemma-2-9b-it/aa06d058-87f9-4fde-ad53-139b29a71448.json
new file mode 100644
index 000000000..8f9ad5f6e
--- /dev/null
+++ b/data/hfopenllm_v2/google/gemma-2-9b-it/aa06d058-87f9-4fde-ad53-139b29a71448.json
@@ -0,0 +1,132 @@
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/google/gemma-2-9b/3f1d571a-fc42-411b-88ab-4700d5861367.json b/data/hfopenllm_v2/google/gemma-2-9b/3f1d571a-fc42-411b-88ab-4700d5861367.json
new file mode 100644
index 000000000..c496a90c9
--- /dev/null
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new file mode 100644
index 000000000..e1752b69f
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diff --git a/data/hfopenllm_v2/google/gemma-2b/2eb433ba-5c93-4355-99dd-edcb65721603.json b/data/hfopenllm_v2/google/gemma-2b/2eb433ba-5c93-4355-99dd-edcb65721603.json
new file mode 100644
index 000000000..3c6b79553
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diff --git a/data/hfopenllm_v2/google/gemma-7b-it/826fc3ab-6ff8-44fa-a745-a0b80bcb2db4.json b/data/hfopenllm_v2/google/gemma-7b-it/826fc3ab-6ff8-44fa-a745-a0b80bcb2db4.json
new file mode 100644
index 000000000..47f028978
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+++ b/data/hfopenllm_v2/google/gemma-7b-it/826fc3ab-6ff8-44fa-a745-a0b80bcb2db4.json
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/google/gemma-7b/6da54964-e3b5-4567-8ce4-7e0f279af84f.json b/data/hfopenllm_v2/google/gemma-7b/6da54964-e3b5-4567-8ce4-7e0f279af84f.json
new file mode 100644
index 000000000..0bb149bf8
--- /dev/null
+++ b/data/hfopenllm_v2/google/gemma-7b/6da54964-e3b5-4567-8ce4-7e0f279af84f.json
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2948
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/google/google/codegemma-1.1-2b/9d92e421-c458-4ad3-b9bf-45c0ca1b90cf.json b/data/hfopenllm_v2/google/google/codegemma-1.1-2b/9d92e421-c458-4ad3-b9bf-45c0ca1b90cf.json
deleted file mode 100644
index bc697fa88..000000000
--- a/data/hfopenllm_v2/google/google/codegemma-1.1-2b/9d92e421-c458-4ad3-b9bf-45c0ca1b90cf.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "retrieved_timestamp": "1762652580.172608",
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diff --git a/data/hfopenllm_v2/google/google/gemma-1.1-2b-it/5ed676b6-4aff-4d71-a91a-6d5d9feeb28f.json b/data/hfopenllm_v2/google/google/gemma-1.1-2b-it/5ed676b6-4aff-4d71-a91a-6d5d9feeb28f.json
deleted file mode 100644
index cc746f34f..000000000
--- a/data/hfopenllm_v2/google/google/gemma-1.1-2b-it/5ed676b6-4aff-4d71-a91a-6d5d9feeb28f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/google/google/gemma-1.1-7b-it/6929c338-76a5-4386-9fa8-68e35a989a86.json b/data/hfopenllm_v2/google/google/gemma-1.1-7b-it/6929c338-76a5-4386-9fa8-68e35a989a86.json
deleted file mode 100644
index bc1e7a49b..000000000
--- a/data/hfopenllm_v2/google/google/gemma-1.1-7b-it/6929c338-76a5-4386-9fa8-68e35a989a86.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/google/google/gemma-2-27b-it/5bcf96ce-efd1-4f90-91a1-edd548de71ad.json b/data/hfopenllm_v2/google/google/gemma-2-27b-it/5bcf96ce-efd1-4f90-91a1-edd548de71ad.json
deleted file mode 100644
index c80663738..000000000
--- a/data/hfopenllm_v2/google/google/gemma-2-27b-it/5bcf96ce-efd1-4f90-91a1-edd548de71ad.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/google/google/gemma-2-27b/12f7d5a6-3f8b-49d8-9ca8-38774dbcca92.json b/data/hfopenllm_v2/google/google/gemma-2-27b/12f7d5a6-3f8b-49d8-9ca8-38774dbcca92.json
deleted file mode 100644
index e01cd730a..000000000
--- a/data/hfopenllm_v2/google/google/gemma-2-27b/12f7d5a6-3f8b-49d8-9ca8-38774dbcca92.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/google/google/gemma-2-2b-it/64daa9ea-cf1e-4787-90cf-ed72c5e23afd.json b/data/hfopenllm_v2/google/google/gemma-2-2b-it/64daa9ea-cf1e-4787-90cf-ed72c5e23afd.json
deleted file mode 100644
index 9cd5ae017..000000000
--- a/data/hfopenllm_v2/google/google/gemma-2-2b-it/64daa9ea-cf1e-4787-90cf-ed72c5e23afd.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/google/google/gemma-2-2b-jpn-it/251b93fa-6f12-41bc-85c8-ded52e1a0d2d.json b/data/hfopenllm_v2/google/google/gemma-2-2b-jpn-it/251b93fa-6f12-41bc-85c8-ded52e1a0d2d.json
deleted file mode 100644
index 8d4aaab7d..000000000
--- a/data/hfopenllm_v2/google/google/gemma-2-2b-jpn-it/251b93fa-6f12-41bc-85c8-ded52e1a0d2d.json
+++ /dev/null
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diff --git a/data/hfopenllm_v2/google/google/gemma-2-2b-jpn-it/a09fdbce-489c-4d14-a05f-7663121bece7.json b/data/hfopenllm_v2/google/google/gemma-2-2b-jpn-it/a09fdbce-489c-4d14-a05f-7663121bece7.json
deleted file mode 100644
index e6a7a2434..000000000
--- a/data/hfopenllm_v2/google/google/gemma-2-2b-jpn-it/a09fdbce-489c-4d14-a05f-7663121bece7.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/google/google/gemma-2-2b/07e74f27-e0c3-448f-9a8c-a07ff8a73178.json b/data/hfopenllm_v2/google/google/gemma-2-2b/07e74f27-e0c3-448f-9a8c-a07ff8a73178.json
deleted file mode 100644
index 8de032749..000000000
--- a/data/hfopenllm_v2/google/google/gemma-2-2b/07e74f27-e0c3-448f-9a8c-a07ff8a73178.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/google/google/gemma-2-2b/53fb75b1-2d9f-4af3-a358-18bf5d4a9032.json b/data/hfopenllm_v2/google/google/gemma-2-2b/53fb75b1-2d9f-4af3-a358-18bf5d4a9032.json
deleted file mode 100644
index e93f23829..000000000
--- a/data/hfopenllm_v2/google/google/gemma-2-2b/53fb75b1-2d9f-4af3-a358-18bf5d4a9032.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/google/google/gemma-2-9b-it/e8cef406-d6cc-48bd-872f-3d5b74bcf092.json b/data/hfopenllm_v2/google/google/gemma-2-9b-it/e8cef406-d6cc-48bd-872f-3d5b74bcf092.json
deleted file mode 100644
index f1a643b09..000000000
--- a/data/hfopenllm_v2/google/google/gemma-2-9b-it/e8cef406-d6cc-48bd-872f-3d5b74bcf092.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/google/google/gemma-2-9b/2ac50111-a850-4bd2-8136-c373990742a5.json b/data/hfopenllm_v2/google/google/gemma-2-9b/2ac50111-a850-4bd2-8136-c373990742a5.json
deleted file mode 100644
index 3e92d5b08..000000000
--- a/data/hfopenllm_v2/google/google/gemma-2-9b/2ac50111-a850-4bd2-8136-c373990742a5.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/google/google/gemma-2b-it/50dffd1a-ddf5-40fd-a2c8-e5dd140af617.json b/data/hfopenllm_v2/google/google/gemma-2b-it/50dffd1a-ddf5-40fd-a2c8-e5dd140af617.json
deleted file mode 100644
index 949c358fb..000000000
--- a/data/hfopenllm_v2/google/google/gemma-2b-it/50dffd1a-ddf5-40fd-a2c8-e5dd140af617.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/google/google/gemma-2b/2dd86ebc-0253-4801-ac99-2bb3494ad29b.json b/data/hfopenllm_v2/google/google/gemma-2b/2dd86ebc-0253-4801-ac99-2bb3494ad29b.json
deleted file mode 100644
index 0d9409e46..000000000
--- a/data/hfopenllm_v2/google/google/gemma-2b/2dd86ebc-0253-4801-ac99-2bb3494ad29b.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/google/google/gemma-7b-it/30146048-ee0f-431d-b3e7-8c066c820740.json b/data/hfopenllm_v2/google/google/gemma-7b-it/30146048-ee0f-431d-b3e7-8c066c820740.json
deleted file mode 100644
index b47a1e6dc..000000000
--- a/data/hfopenllm_v2/google/google/gemma-7b-it/30146048-ee0f-431d-b3e7-8c066c820740.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/google/google/gemma-7b/630e3cc0-fccc-41b3-b439-85a875dae401.json b/data/hfopenllm_v2/google/google/gemma-7b/630e3cc0-fccc-41b3-b439-85a875dae401.json
deleted file mode 100644
index e2eb0d05e..000000000
--- a/data/hfopenllm_v2/google/google/gemma-7b/630e3cc0-fccc-41b3-b439-85a875dae401.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/google/google/recurrentgemma-2b-it/a219b160-3dbd-4dcd-b39d-d12c6f9b1145.json b/data/hfopenllm_v2/google/google/recurrentgemma-2b-it/a219b160-3dbd-4dcd-b39d-d12c6f9b1145.json
deleted file mode 100644
index 2df98c020..000000000
--- a/data/hfopenllm_v2/google/google/recurrentgemma-2b-it/a219b160-3dbd-4dcd-b39d-d12c6f9b1145.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/google/google/recurrentgemma-2b/218a5d0f-5242-43c4-8166-81f5c09626bb.json b/data/hfopenllm_v2/google/google/recurrentgemma-2b/218a5d0f-5242-43c4-8166-81f5c09626bb.json
deleted file mode 100644
index 80bf1decf..000000000
--- a/data/hfopenllm_v2/google/google/recurrentgemma-2b/218a5d0f-5242-43c4-8166-81f5c09626bb.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/google/google/recurrentgemma-9b-it/c7095b76-2d50-467b-a8d9-d7a277f1f14c.json b/data/hfopenllm_v2/google/google/recurrentgemma-9b-it/c7095b76-2d50-467b-a8d9-d7a277f1f14c.json
deleted file mode 100644
index 46738231a..000000000
--- a/data/hfopenllm_v2/google/google/recurrentgemma-9b-it/c7095b76-2d50-467b-a8d9-d7a277f1f14c.json
+++ /dev/null
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diff --git a/data/hfopenllm_v2/google/google/recurrentgemma-9b/1ff3ab95-3007-4cbf-a146-5e8e4ae65404.json b/data/hfopenllm_v2/google/google/recurrentgemma-9b/1ff3ab95-3007-4cbf-a146-5e8e4ae65404.json
deleted file mode 100644
index 27edffbc5..000000000
--- a/data/hfopenllm_v2/google/google/recurrentgemma-9b/1ff3ab95-3007-4cbf-a146-5e8e4ae65404.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/google/grimjim/Gigantes-v1-gemma2-9b-it/57072a5e-1f64-4ae2-9e2c-caecc1dc05f4.json b/data/hfopenllm_v2/google/grimjim/Gigantes-v1-gemma2-9b-it/57072a5e-1f64-4ae2-9e2c-caecc1dc05f4.json
deleted file mode 100644
index 07724e435..000000000
--- a/data/hfopenllm_v2/google/grimjim/Gigantes-v1-gemma2-9b-it/57072a5e-1f64-4ae2-9e2c-caecc1dc05f4.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/google/grimjim/Gigantes-v2-gemma2-9b-it/47486923-2194-4b8e-930c-ca14bd5f8a26.json b/data/hfopenllm_v2/google/grimjim/Gigantes-v2-gemma2-9b-it/47486923-2194-4b8e-930c-ca14bd5f8a26.json
deleted file mode 100644
index 3df799b6c..000000000
--- a/data/hfopenllm_v2/google/grimjim/Gigantes-v2-gemma2-9b-it/47486923-2194-4b8e-930c-ca14bd5f8a26.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/google/grimjim/Gigantes-v3-gemma2-9b-it/bb063d7a-65fa-416b-88e9-7bacdef1da3e.json b/data/hfopenllm_v2/google/grimjim/Gigantes-v3-gemma2-9b-it/bb063d7a-65fa-416b-88e9-7bacdef1da3e.json
deleted file mode 100644
index 425cd3a3e..000000000
--- a/data/hfopenllm_v2/google/grimjim/Gigantes-v3-gemma2-9b-it/bb063d7a-65fa-416b-88e9-7bacdef1da3e.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/google/grimjim/Magnolia-v1-Gemma2-8k-9B/2cf17692-b105-41df-9783-6c7728ab778f.json b/data/hfopenllm_v2/google/grimjim/Magnolia-v1-Gemma2-8k-9B/2cf17692-b105-41df-9783-6c7728ab778f.json
deleted file mode 100644
index 4c3691c26..000000000
--- a/data/hfopenllm_v2/google/grimjim/Magnolia-v1-Gemma2-8k-9B/2cf17692-b105-41df-9783-6c7728ab778f.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/google/grimjim/Magnolia-v2-Gemma2-8k-9B/4d0574f4-4d91-4395-afff-133216eee509.json b/data/hfopenllm_v2/google/grimjim/Magnolia-v2-Gemma2-8k-9B/4d0574f4-4d91-4395-afff-133216eee509.json
deleted file mode 100644
index 3953c274d..000000000
--- a/data/hfopenllm_v2/google/grimjim/Magnolia-v2-Gemma2-8k-9B/4d0574f4-4d91-4395-afff-133216eee509.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-    "developer": "google",
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-    "id": "grimjim/Magnolia-v2-Gemma2-8k-9B",
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diff --git a/data/hfopenllm_v2/google/grimjim/Magnolia-v3-Gemma2-8k-9B/8fff2cec-a733-4505-bce9-8b605044181a.json b/data/hfopenllm_v2/google/grimjim/Magnolia-v3-Gemma2-8k-9B/8fff2cec-a733-4505-bce9-8b605044181a.json
deleted file mode 100644
index 4961b205d..000000000
--- a/data/hfopenllm_v2/google/grimjim/Magnolia-v3-Gemma2-8k-9B/8fff2cec-a733-4505-bce9-8b605044181a.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-    "developer": "google",
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diff --git a/data/hfopenllm_v2/google/grimjim/Magot-v1-Gemma2-8k-9B/9e63ff64-f862-40ad-b594-31063ec0d31e.json b/data/hfopenllm_v2/google/grimjim/Magot-v1-Gemma2-8k-9B/9e63ff64-f862-40ad-b594-31063ec0d31e.json
deleted file mode 100644
index cf26ff3a2..000000000
--- a/data/hfopenllm_v2/google/grimjim/Magot-v1-Gemma2-8k-9B/9e63ff64-f862-40ad-b594-31063ec0d31e.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/google/grimjim/Magot-v2-Gemma2-8k-9B/2d250aa8-f3c5-4f9f-9e5c-dde8f720db53.json b/data/hfopenllm_v2/google/grimjim/Magot-v2-Gemma2-8k-9B/2d250aa8-f3c5-4f9f-9e5c-dde8f720db53.json
deleted file mode 100644
index 26774abe2..000000000
--- a/data/hfopenllm_v2/google/grimjim/Magot-v2-Gemma2-8k-9B/2d250aa8-f3c5-4f9f-9e5c-dde8f720db53.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/google/hotmailuser/Gemma2Crono-27B/501e2a2c-e32c-455e-8e5f-f8bde053fddc.json b/data/hfopenllm_v2/google/hotmailuser/Gemma2Crono-27B/501e2a2c-e32c-455e-8e5f-f8bde053fddc.json
deleted file mode 100644
index 25f98ed1b..000000000
--- a/data/hfopenllm_v2/google/hotmailuser/Gemma2Crono-27B/501e2a2c-e32c-455e-8e5f-f8bde053fddc.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/google/hotmailuser/Gemma2SimPO-27B/433a8abf-8ff7-40bb-a4d0-654efdb6bf86.json b/data/hfopenllm_v2/google/hotmailuser/Gemma2SimPO-27B/433a8abf-8ff7-40bb-a4d0-654efdb6bf86.json
deleted file mode 100644
index 10902b631..000000000
--- a/data/hfopenllm_v2/google/hotmailuser/Gemma2SimPO-27B/433a8abf-8ff7-40bb-a4d0-654efdb6bf86.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/google/hotmailuser/Gemma2atlas-27B/c9020f27-9175-4f12-a108-6cbff1c0cb22.json b/data/hfopenllm_v2/google/hotmailuser/Gemma2atlas-27B/c9020f27-9175-4f12-a108-6cbff1c0cb22.json
deleted file mode 100644
index 2d4c9982a..000000000
--- a/data/hfopenllm_v2/google/hotmailuser/Gemma2atlas-27B/c9020f27-9175-4f12-a108-6cbff1c0cb22.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/google/hotmailuser/Gemma2magnum-27b/0ad192a1-b33f-4362-a21d-ccc590986c5c.json b/data/hfopenllm_v2/google/hotmailuser/Gemma2magnum-27b/0ad192a1-b33f-4362-a21d-ccc590986c5c.json
deleted file mode 100644
index 5faf800db..000000000
--- a/data/hfopenllm_v2/google/hotmailuser/Gemma2magnum-27b/0ad192a1-b33f-4362-a21d-ccc590986c5c.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/google/ifable/gemma-2-Ifable-9B/42b3b64b-0e15-4a49-b542-da27ab7e2143.json b/data/hfopenllm_v2/google/ifable/gemma-2-Ifable-9B/42b3b64b-0e15-4a49-b542-da27ab7e2143.json
deleted file mode 100644
index 9db7abddd..000000000
--- a/data/hfopenllm_v2/google/ifable/gemma-2-Ifable-9B/42b3b64b-0e15-4a49-b542-da27ab7e2143.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/google/jebish7/gemma-2-2b-it/86206a02-3ab9-4a86-a00c-2900e8cd2e18.json b/data/hfopenllm_v2/google/jebish7/gemma-2-2b-it/86206a02-3ab9-4a86-a00c-2900e8cd2e18.json
deleted file mode 100644
index 0921a29de..000000000
--- a/data/hfopenllm_v2/google/jebish7/gemma-2-2b-it/86206a02-3ab9-4a86-a00c-2900e8cd2e18.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/google/jebish7/gemma-2-9b-it/80a35d79-893b-439f-b100-a538a3c86974.json b/data/hfopenllm_v2/google/jebish7/gemma-2-9b-it/80a35d79-893b-439f-b100-a538a3c86974.json
deleted file mode 100644
index 20a89a939..000000000
--- a/data/hfopenllm_v2/google/jebish7/gemma-2-9b-it/80a35d79-893b-439f-b100-a538a3c86974.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/google/lemon07r/Gemma-2-Ataraxy-9B/9ba72d50-4321-4383-8be9-286a56607624.json b/data/hfopenllm_v2/google/lemon07r/Gemma-2-Ataraxy-9B/9ba72d50-4321-4383-8be9-286a56607624.json
deleted file mode 100644
index 753a24093..000000000
--- a/data/hfopenllm_v2/google/lemon07r/Gemma-2-Ataraxy-9B/9ba72d50-4321-4383-8be9-286a56607624.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/google/lemon07r/Gemma-2-Ataraxy-Advanced-9B/7806d1aa-b9e2-45bc-b89d-76e6c48dd3a0.json b/data/hfopenllm_v2/google/lemon07r/Gemma-2-Ataraxy-Advanced-9B/7806d1aa-b9e2-45bc-b89d-76e6c48dd3a0.json
deleted file mode 100644
index dfa81bb92..000000000
--- a/data/hfopenllm_v2/google/lemon07r/Gemma-2-Ataraxy-Advanced-9B/7806d1aa-b9e2-45bc-b89d-76e6c48dd3a0.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/google/lemon07r/Gemma-2-Ataraxy-Remix-9B/29dfbb00-8760-46d8-bef8-d036870fb0c0.json b/data/hfopenllm_v2/google/lemon07r/Gemma-2-Ataraxy-Remix-9B/29dfbb00-8760-46d8-bef8-d036870fb0c0.json
deleted file mode 100644
index 2987cb417..000000000
--- a/data/hfopenllm_v2/google/lemon07r/Gemma-2-Ataraxy-Remix-9B/29dfbb00-8760-46d8-bef8-d036870fb0c0.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/google/lemon07r/Gemma-2-Ataraxy-v2-9B/ca1b9625-0112-4ebf-b1c3-d2dd217d50b2.json b/data/hfopenllm_v2/google/lemon07r/Gemma-2-Ataraxy-v2-9B/ca1b9625-0112-4ebf-b1c3-d2dd217d50b2.json
deleted file mode 100644
index 43f6656b0..000000000
--- a/data/hfopenllm_v2/google/lemon07r/Gemma-2-Ataraxy-v2-9B/ca1b9625-0112-4ebf-b1c3-d2dd217d50b2.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/google/lemon07r/Gemma-2-Ataraxy-v2a-9B/4fa1e172-f570-4a96-b53a-8ecf31854191.json b/data/hfopenllm_v2/google/lemon07r/Gemma-2-Ataraxy-v2a-9B/4fa1e172-f570-4a96-b53a-8ecf31854191.json
deleted file mode 100644
index 1c1f91267..000000000
--- a/data/hfopenllm_v2/google/lemon07r/Gemma-2-Ataraxy-v2a-9B/4fa1e172-f570-4a96-b53a-8ecf31854191.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/google/lemon07r/Gemma-2-Ataraxy-v2f-9B/fd59fb1c-3681-44d2-9172-b10891ae9c55.json b/data/hfopenllm_v2/google/lemon07r/Gemma-2-Ataraxy-v2f-9B/fd59fb1c-3681-44d2-9172-b10891ae9c55.json
deleted file mode 100644
index d3e11ff53..000000000
--- a/data/hfopenllm_v2/google/lemon07r/Gemma-2-Ataraxy-v2f-9B/fd59fb1c-3681-44d2-9172-b10891ae9c55.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/google/lemon07r/Gemma-2-Ataraxy-v3-Advanced-9B/778a10b0-c537-4592-9dbb-2b0de07ced4c.json b/data/hfopenllm_v2/google/lemon07r/Gemma-2-Ataraxy-v3-Advanced-9B/778a10b0-c537-4592-9dbb-2b0de07ced4c.json
deleted file mode 100644
index bf2c9cb49..000000000
--- a/data/hfopenllm_v2/google/lemon07r/Gemma-2-Ataraxy-v3-Advanced-9B/778a10b0-c537-4592-9dbb-2b0de07ced4c.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/google/lemon07r/Gemma-2-Ataraxy-v3b-9B/d048e6ad-cc57-4ebe-8376-262564e86f0c.json b/data/hfopenllm_v2/google/lemon07r/Gemma-2-Ataraxy-v3b-9B/d048e6ad-cc57-4ebe-8376-262564e86f0c.json
deleted file mode 100644
index 3ad3c7306..000000000
--- a/data/hfopenllm_v2/google/lemon07r/Gemma-2-Ataraxy-v3b-9B/d048e6ad-cc57-4ebe-8376-262564e86f0c.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/google/lemon07r/Gemma-2-Ataraxy-v3i-9B/53602c70-73d9-461b-b27a-24c6a1a538e5.json b/data/hfopenllm_v2/google/lemon07r/Gemma-2-Ataraxy-v3i-9B/53602c70-73d9-461b-b27a-24c6a1a538e5.json
deleted file mode 100644
index a14a3232c..000000000
--- a/data/hfopenllm_v2/google/lemon07r/Gemma-2-Ataraxy-v3i-9B/53602c70-73d9-461b-b27a-24c6a1a538e5.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/google/lemon07r/Gemma-2-Ataraxy-v3j-9B/d435bd27-1c26-429d-8ac5-8fd8c591a9aa.json b/data/hfopenllm_v2/google/lemon07r/Gemma-2-Ataraxy-v3j-9B/d435bd27-1c26-429d-8ac5-8fd8c591a9aa.json
deleted file mode 100644
index a3b034576..000000000
--- a/data/hfopenllm_v2/google/lemon07r/Gemma-2-Ataraxy-v3j-9B/d435bd27-1c26-429d-8ac5-8fd8c591a9aa.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/google/lemon07r/Gemma-2-Ataraxy-v4-Advanced-9B/c0e95e3f-37a4-4b2f-a37b-37854546c241.json b/data/hfopenllm_v2/google/lemon07r/Gemma-2-Ataraxy-v4-Advanced-9B/c0e95e3f-37a4-4b2f-a37b-37854546c241.json
deleted file mode 100644
index e34b39613..000000000
--- a/data/hfopenllm_v2/google/lemon07r/Gemma-2-Ataraxy-v4-Advanced-9B/c0e95e3f-37a4-4b2f-a37b-37854546c241.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/google/lemon07r/Gemma-2-Ataraxy-v4a-Advanced-9B/b84aedba-7b87-445d-87c2-b029cb0038c3.json b/data/hfopenllm_v2/google/lemon07r/Gemma-2-Ataraxy-v4a-Advanced-9B/b84aedba-7b87-445d-87c2-b029cb0038c3.json
deleted file mode 100644
index 352189aec..000000000
--- a/data/hfopenllm_v2/google/lemon07r/Gemma-2-Ataraxy-v4a-Advanced-9B/b84aedba-7b87-445d-87c2-b029cb0038c3.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/google/lemon07r/Gemma-2-Ataraxy-v4b-9B/41f04f45-2f1d-42fd-87de-cc5e484cada2.json b/data/hfopenllm_v2/google/lemon07r/Gemma-2-Ataraxy-v4b-9B/41f04f45-2f1d-42fd-87de-cc5e484cada2.json
deleted file mode 100644
index 861ec17c1..000000000
--- a/data/hfopenllm_v2/google/lemon07r/Gemma-2-Ataraxy-v4b-9B/41f04f45-2f1d-42fd-87de-cc5e484cada2.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/google/lemon07r/Gemma-2-Ataraxy-v4c-9B/9499ec24-5be2-478c-b13e-3102d1555668.json b/data/hfopenllm_v2/google/lemon07r/Gemma-2-Ataraxy-v4c-9B/9499ec24-5be2-478c-b13e-3102d1555668.json
deleted file mode 100644
index b112af8f5..000000000
--- a/data/hfopenllm_v2/google/lemon07r/Gemma-2-Ataraxy-v4c-9B/9499ec24-5be2-478c-b13e-3102d1555668.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/google/lemon07r/Gemma-2-Ataraxy-v4d-9B/7e6685d8-af21-4810-a9cc-edb296f4b937.json b/data/hfopenllm_v2/google/lemon07r/Gemma-2-Ataraxy-v4d-9B/7e6685d8-af21-4810-a9cc-edb296f4b937.json
deleted file mode 100644
index d24d7631d..000000000
--- a/data/hfopenllm_v2/google/lemon07r/Gemma-2-Ataraxy-v4d-9B/7e6685d8-af21-4810-a9cc-edb296f4b937.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/google/lkoenig/BBAI_200_Gemma/b71c5ede-010d-4ce4-9f12-552388e2d9eb.json b/data/hfopenllm_v2/google/lkoenig/BBAI_200_Gemma/b71c5ede-010d-4ce4-9f12-552388e2d9eb.json
deleted file mode 100644
index 1ecec60e6..000000000
--- a/data/hfopenllm_v2/google/lkoenig/BBAI_200_Gemma/b71c5ede-010d-4ce4-9f12-552388e2d9eb.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/google/monsterapi/gemma-2-2b-LoRA-MonsterInstruct/f5395aa2-334b-410c-a2ee-4d7381f1c9bc.json b/data/hfopenllm_v2/google/monsterapi/gemma-2-2b-LoRA-MonsterInstruct/f5395aa2-334b-410c-a2ee-4d7381f1c9bc.json
deleted file mode 100644
index 428d9464c..000000000
--- a/data/hfopenllm_v2/google/monsterapi/gemma-2-2b-LoRA-MonsterInstruct/f5395aa2-334b-410c-a2ee-4d7381f1c9bc.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/google/mt5-base/621fb00c-90a0-4295-9bd6-f5e102bc0bab.json b/data/hfopenllm_v2/google/mt5-base/621fb00c-90a0-4295-9bd6-f5e102bc0bab.json
deleted file mode 100644
index c6add2894..000000000
--- a/data/hfopenllm_v2/google/mt5-base/621fb00c-90a0-4295-9bd6-f5e102bc0bab.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-      "architecture": "MT5ForConditionalGeneration",
-      "params_billions": 0.39
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1645157072124186
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.28831600228488835
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.00906344410876133
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.23909395973154363
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.36720833333333336
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.10696476063829788
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/google/mt5-base/a7dde688-a0ae-4731-909f-0bef0c6eeba9.json b/data/hfopenllm_v2/google/mt5-base/a7dde688-a0ae-4731-909f-0bef0c6eeba9.json
new file mode 100644
index 000000000..3221afa06
--- /dev/null
+++ b/data/hfopenllm_v2/google/mt5-base/a7dde688-a0ae-4731-909f-0bef0c6eeba9.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/google_mt5-base/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "mt5-base",
+    "id": "google/mt5-base",
+    "developer": "google",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "MT5ForConditionalGeneration",
+      "params_billions": 0.39
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1645
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2883
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0091
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2391
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3672
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.107
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/google/mt5-small/0d958c7c-5cd9-459f-a0e9-235b5d41ae53.json b/data/hfopenllm_v2/google/mt5-small/0d958c7c-5cd9-459f-a0e9-235b5d41ae53.json
deleted file mode 100644
index 69e1be77b..000000000
--- a/data/hfopenllm_v2/google/mt5-small/0d958c7c-5cd9-459f-a0e9-235b5d41ae53.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/google_mt5-small/1762652580.1787279",
-  "retrieved_timestamp": "1762652580.178729",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "google/mt5-small",
-    "developer": "google",
-    "inference_platform": "unknown",
-    "id": "google/mt5-small",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "MT5ForConditionalGeneration",
-      "params_billions": 0.17
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.17180968718555653
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2765842029929075
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.0
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2424496644295302
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.38575
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11228390957446809
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/google/mt5-small/eb2a8a60-2240-4b08-9dc3-be0215aa7bfc.json b/data/hfopenllm_v2/google/mt5-small/eb2a8a60-2240-4b08-9dc3-be0215aa7bfc.json
new file mode 100644
index 000000000..f462ca442
--- /dev/null
+++ b/data/hfopenllm_v2/google/mt5-small/eb2a8a60-2240-4b08-9dc3-be0215aa7bfc.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/google_mt5-small/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "mt5-small",
+    "id": "google/mt5-small",
+    "developer": "google",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "MT5ForConditionalGeneration",
+      "params_billions": 0.17
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1718
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2766
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2424
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3857
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1123
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/google/mt5-xl/5abb3ce9-6ad4-4dfa-8bca-81ec6cb84426.json b/data/hfopenllm_v2/google/mt5-xl/5abb3ce9-6ad4-4dfa-8bca-81ec6cb84426.json
deleted file mode 100644
index 54ee50d77..000000000
--- a/data/hfopenllm_v2/google/mt5-xl/5abb3ce9-6ad4-4dfa-8bca-81ec6cb84426.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/google_mt5-xl/1762652580.17897",
-  "retrieved_timestamp": "1762652580.1789708",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "google/mt5-xl",
-    "developer": "google",
-    "inference_platform": "unknown",
-    "id": "google/mt5-xl",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "MT5ForConditionalGeneration",
-      "params_billions": 3.23
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.19596448534333347
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.304735837080435
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.0
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.26426174496644295
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3795208333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11195146276595745
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/google/mt5-xl/9b05919f-d7c1-4e04-9dd8-9ae70e0005e6.json b/data/hfopenllm_v2/google/mt5-xl/9b05919f-d7c1-4e04-9dd8-9ae70e0005e6.json
new file mode 100644
index 000000000..53e4e6095
--- /dev/null
+++ b/data/hfopenllm_v2/google/mt5-xl/9b05919f-d7c1-4e04-9dd8-9ae70e0005e6.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/google_mt5-xl/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "mt5-xl",
+    "id": "google/mt5-xl",
+    "developer": "google",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "MT5ForConditionalGeneration",
+      "params_billions": 3.23
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.196
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3047
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2643
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3795
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.112
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/google/mt5-xxl/38520cce-b3b6-4f22-a6a8-313f6181f5ea.json b/data/hfopenllm_v2/google/mt5-xxl/38520cce-b3b6-4f22-a6a8-313f6181f5ea.json
deleted file mode 100644
index 797916be3..000000000
--- a/data/hfopenllm_v2/google/mt5-xxl/38520cce-b3b6-4f22-a6a8-313f6181f5ea.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/google_mt5-xxl/1762652580.1791801",
-  "retrieved_timestamp": "1762652580.1791801",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "google/mt5-xxl",
-    "developer": "google",
-    "inference_platform": "unknown",
-    "id": "google/mt5-xxl",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "T5ForConditionalGeneration",
-      "params_billions": 11.9
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.23575668116154028
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.24161073825503357
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.36894791666666665
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.10887632978723404
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/google/mt5-xxl/6cd98538-74b6-4ac6-a3ac-9a311cfe47f6.json b/data/hfopenllm_v2/google/mt5-xxl/6cd98538-74b6-4ac6-a3ac-9a311cfe47f6.json
new file mode 100644
index 000000000..151ffbc18
--- /dev/null
+++ b/data/hfopenllm_v2/google/mt5-xxl/6cd98538-74b6-4ac6-a3ac-9a311cfe47f6.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/google_mt5-xxl/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "mt5-xxl",
+    "id": "google/mt5-xxl",
+    "developer": "google",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "T5ForConditionalGeneration",
+      "params_billions": 11.9
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2358
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2959
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2416
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3689
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1089
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/google/nbeerbower/Gemma2-Gutenberg-Doppel-9B/b6514bef-f106-45e0-8571-da3507b0e95b.json b/data/hfopenllm_v2/google/nbeerbower/Gemma2-Gutenberg-Doppel-9B/b6514bef-f106-45e0-8571-da3507b0e95b.json
deleted file mode 100644
index 22b5ca481..000000000
--- a/data/hfopenllm_v2/google/nbeerbower/Gemma2-Gutenberg-Doppel-9B/b6514bef-f106-45e0-8571-da3507b0e95b.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/nbeerbower_Gemma2-Gutenberg-Doppel-9B/1762652580.378716",
-  "retrieved_timestamp": "1762652580.378717",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
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-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "nbeerbower/Gemma2-Gutenberg-Doppel-9B",
-    "developer": "google",
-    "inference_platform": "unknown",
-    "id": "nbeerbower/Gemma2-Gutenberg-Doppel-9B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Gemma2ForCausalLM",
-      "params_billions": 9.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5870114193661848
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3296979865771812
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.46078125
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41273271276595747
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/google/nbeerbower/gemma2-gutenberg-27B/b0a9fb09-2637-4b4c-9d78-7dc8d9c6aad2.json b/data/hfopenllm_v2/google/nbeerbower/gemma2-gutenberg-27B/b0a9fb09-2637-4b4c-9d78-7dc8d9c6aad2.json
deleted file mode 100644
index 078cae3f0..000000000
--- a/data/hfopenllm_v2/google/nbeerbower/gemma2-gutenberg-27B/b0a9fb09-2637-4b4c-9d78-7dc8d9c6aad2.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/nbeerbower_gemma2-gutenberg-27B/1762652580.384448",
-  "retrieved_timestamp": "1762652580.3844512",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "nbeerbower/gemma2-gutenberg-27B",
-    "developer": "google",
-    "inference_platform": "unknown",
-    "id": "nbeerbower/gemma2-gutenberg-27B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Gemma2ForCausalLM",
-      "params_billions": 27.227
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-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
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-    },
-    {
-      "evaluation_name": "BBH",
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-        "evaluation_description": "Accuracy on BBH",
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37965683503451614
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-    {
-      "evaluation_name": "MATH Level 5",
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-        "score_type": "continuous",
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-    {
-      "evaluation_name": "GPQA",
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-        "evaluation_description": "Accuracy on GPQA",
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
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-        "score_type": "continuous",
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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diff --git a/data/hfopenllm_v2/google/nbeerbower/gemma2-gutenberg-9B/14dc56ff-7f3b-430e-a4b3-6e4c9961fea3.json b/data/hfopenllm_v2/google/nbeerbower/gemma2-gutenberg-9B/14dc56ff-7f3b-430e-a4b3-6e4c9961fea3.json
deleted file mode 100644
index 539f7c022..000000000
--- a/data/hfopenllm_v2/google/nbeerbower/gemma2-gutenberg-9B/14dc56ff-7f3b-430e-a4b3-6e4c9961fea3.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/nbeerbower_gemma2-gutenberg-9B/1762652580.384712",
-  "retrieved_timestamp": "1762652580.384713",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
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-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "nbeerbower/gemma2-gutenberg-9B",
-    "developer": "google",
-    "inference_platform": "unknown",
-    "id": "nbeerbower/gemma2-gutenberg-9B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Gemma2ForCausalLM",
-      "params_billions": 9.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
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-      "score_details": {
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
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-        "score_type": "continuous",
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-        "max_score": 1
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-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
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-      "score_details": {
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-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
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-        "score_type": "continuous",
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-        "max_score": 1
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-      "score_details": {
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-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4192154255319149
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-  ]
-}
diff --git a/data/hfopenllm_v2/google/nhyha/N3N_gemma-2-9b-it_20241029_1532/cb85dee2-acee-48f8-85aa-1d5664179fd5.json b/data/hfopenllm_v2/google/nhyha/N3N_gemma-2-9b-it_20241029_1532/cb85dee2-acee-48f8-85aa-1d5664179fd5.json
deleted file mode 100644
index cc2783d8d..000000000
--- a/data/hfopenllm_v2/google/nhyha/N3N_gemma-2-9b-it_20241029_1532/cb85dee2-acee-48f8-85aa-1d5664179fd5.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/nhyha_N3N_gemma-2-9b-it_20241029_1532/1762652580.4059799",
-  "retrieved_timestamp": "1762652580.4059808",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "nhyha/N3N_gemma-2-9b-it_20241029_1532",
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diff --git a/data/hfopenllm_v2/google/nhyha/N3N_gemma-2-9b-it_20241110_2026/4c450b48-8477-45cb-9cfa-814c21dd39d7.json b/data/hfopenllm_v2/google/nhyha/N3N_gemma-2-9b-it_20241110_2026/4c450b48-8477-45cb-9cfa-814c21dd39d7.json
deleted file mode 100644
index c5b964c55..000000000
--- a/data/hfopenllm_v2/google/nhyha/N3N_gemma-2-9b-it_20241110_2026/4c450b48-8477-45cb-9cfa-814c21dd39d7.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/google/nidum/Nidum-Limitless-Gemma-2B/49e352c1-2319-4bc5-aa3f-1697739a05b8.json b/data/hfopenllm_v2/google/nidum/Nidum-Limitless-Gemma-2B/49e352c1-2319-4bc5-aa3f-1697739a05b8.json
deleted file mode 100644
index b9df3656e..000000000
--- a/data/hfopenllm_v2/google/nidum/Nidum-Limitless-Gemma-2B/49e352c1-2319-4bc5-aa3f-1697739a05b8.json
+++ /dev/null
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diff --git a/data/hfopenllm_v2/google/noname0202/gemma-2-2b-it-ties/42bed40b-ac71-42c8-b56b-47d1f930c736.json b/data/hfopenllm_v2/google/noname0202/gemma-2-2b-it-ties/42bed40b-ac71-42c8-b56b-47d1f930c736.json
deleted file mode 100644
index 7b04d5f8c..000000000
--- a/data/hfopenllm_v2/google/noname0202/gemma-2-2b-it-ties/42bed40b-ac71-42c8-b56b-47d1f930c736.json
+++ /dev/null
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deleted file mode 100644
index ac8fd1db4..000000000
--- a/data/hfopenllm_v2/google/princeton-nlp/gemma-2-9b-it-SimPO/4285b38c-aba8-444b-9b0b-b265c7b1fef1.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/google/qq8933/OpenLongCoT-Base-Gemma2-2B/c945b9b5-7b46-4300-adcc-2d6c94df0ac1.json b/data/hfopenllm_v2/google/qq8933/OpenLongCoT-Base-Gemma2-2B/c945b9b5-7b46-4300-adcc-2d6c94df0ac1.json
deleted file mode 100644
index 7f6868e10..000000000
--- a/data/hfopenllm_v2/google/qq8933/OpenLongCoT-Base-Gemma2-2B/c945b9b5-7b46-4300-adcc-2d6c94df0ac1.json
+++ /dev/null
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diff --git a/data/hfopenllm_v2/google/recoilme/Gemma-2-Ataraxy-Gemmasutra-9B-slerp/054a662a-e425-448c-9556-6998833e51ff.json b/data/hfopenllm_v2/google/recoilme/Gemma-2-Ataraxy-Gemmasutra-9B-slerp/054a662a-e425-448c-9556-6998833e51ff.json
deleted file mode 100644
index 627ff2913..000000000
--- a/data/hfopenllm_v2/google/recoilme/Gemma-2-Ataraxy-Gemmasutra-9B-slerp/054a662a-e425-448c-9556-6998833e51ff.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/google/recoilme/Gemma-2-Ataraxy-Gemmasutra-9B-slerp/0a685d8f-38c7-4521-9613-7b36ad1cac73.json b/data/hfopenllm_v2/google/recoilme/Gemma-2-Ataraxy-Gemmasutra-9B-slerp/0a685d8f-38c7-4521-9613-7b36ad1cac73.json
deleted file mode 100644
index 872c6fdeb..000000000
--- a/data/hfopenllm_v2/google/recoilme/Gemma-2-Ataraxy-Gemmasutra-9B-slerp/0a685d8f-38c7-4521-9613-7b36ad1cac73.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/google/recoilme/recoilme-gemma-2-9B-v0.1/d31a41b0-6500-4e1b-8435-b9d3e9725c02.json b/data/hfopenllm_v2/google/recoilme/recoilme-gemma-2-9B-v0.1/d31a41b0-6500-4e1b-8435-b9d3e9725c02.json
deleted file mode 100644
index 9b0e583c6..000000000
--- a/data/hfopenllm_v2/google/recoilme/recoilme-gemma-2-9B-v0.1/d31a41b0-6500-4e1b-8435-b9d3e9725c02.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/google/recoilme/recoilme-gemma-2-9B-v0.2/5826c93f-3642-44cf-b385-4a5ab5103086.json b/data/hfopenllm_v2/google/recoilme/recoilme-gemma-2-9B-v0.2/5826c93f-3642-44cf-b385-4a5ab5103086.json
deleted file mode 100644
index 73045fd81..000000000
--- a/data/hfopenllm_v2/google/recoilme/recoilme-gemma-2-9B-v0.2/5826c93f-3642-44cf-b385-4a5ab5103086.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/google/recoilme/recoilme-gemma-2-9B-v0.2/6a15378c-36cc-4f5e-b184-5a19a6fbb192.json b/data/hfopenllm_v2/google/recoilme/recoilme-gemma-2-9B-v0.2/6a15378c-36cc-4f5e-b184-5a19a6fbb192.json
deleted file mode 100644
index f07fed1bd..000000000
--- a/data/hfopenllm_v2/google/recoilme/recoilme-gemma-2-9B-v0.2/6a15378c-36cc-4f5e-b184-5a19a6fbb192.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/google/recoilme/recoilme-gemma-2-9B-v0.3/47cfe707-ba31-4c9b-aa15-9ab8b566e206.json b/data/hfopenllm_v2/google/recoilme/recoilme-gemma-2-9B-v0.3/47cfe707-ba31-4c9b-aa15-9ab8b566e206.json
deleted file mode 100644
index 735f3e0ea..000000000
--- a/data/hfopenllm_v2/google/recoilme/recoilme-gemma-2-9B-v0.3/47cfe707-ba31-4c9b-aa15-9ab8b566e206.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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deleted file mode 100644
index ccacf273a..000000000
--- a/data/hfopenllm_v2/google/recoilme/recoilme-gemma-2-9B-v0.3/8d3bd687-89f5-4d62-af46-93646aea4341.json
+++ /dev/null
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deleted file mode 100644
index 43bc30f29..000000000
--- a/data/hfopenllm_v2/google/recoilme/recoilme-gemma-2-9B-v0.4/28eef1b7-a83e-49c9-8f11-ef9e4ae7e1ce.json
+++ /dev/null
@@ -1,105 +0,0 @@
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deleted file mode 100644
index c939a9334..000000000
--- a/data/hfopenllm_v2/google/recoilme/recoilme-gemma-2-9B-v0.5/8fe5a1e8-1491-4e64-8aed-32e73f2dae6e.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/google/recurrentgemma-2b-it/b0ca2dec-387f-4b27-9adb-772af1899832.json b/data/hfopenllm_v2/google/recurrentgemma-2b-it/b0ca2dec-387f-4b27-9adb-772af1899832.json
new file mode 100644
index 000000000..a93defb31
--- /dev/null
+++ b/data/hfopenllm_v2/google/recurrentgemma-2b-it/b0ca2dec-387f-4b27-9adb-772af1899832.json
@@ -0,0 +1,132 @@
+{
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+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
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+    "name": "recurrentgemma-2b-it",
+    "id": "google/recurrentgemma-2b-it",
+    "developer": "google",
+    "inference_platform": "unknown",
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+        "hf_repo": "SaylorTwift/bbh"
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+    },
+    {
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+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
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+        "hf_repo": "TAUR-Lab/MuSR"
+      },
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+    },
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+        "hf_repo": "TIGER-Lab/MMLU-Pro"
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+      },
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+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/google/recurrentgemma-2b/53c4b397-b78e-4699-a01e-3535aa072225.json b/data/hfopenllm_v2/google/recurrentgemma-2b/53c4b397-b78e-4699-a01e-3535aa072225.json
new file mode 100644
index 000000000..ea66c049b
--- /dev/null
+++ b/data/hfopenllm_v2/google/recurrentgemma-2b/53c4b397-b78e-4699-a01e-3535aa072225.json
@@ -0,0 +1,132 @@
+{
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+  "source_metadata": {
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+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "recurrentgemma-2b",
+    "id": "google/recurrentgemma-2b",
+    "developer": "google",
+    "inference_platform": "unknown",
+    "additional_details": {
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+      "architecture": "RecurrentGemmaForCausalLM",
+      "params_billions": 2.683
+    }
+  },
+  "evaluation_results": [
+    {
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+      },
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+    },
+    {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
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+    {
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+        "max_score": 1.0
+      },
+      "score_details": {
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+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3446
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+      "score_details": {
+        "score": 0.1176
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/google/recurrentgemma-9b-it/f5b251f0-741c-4ad5-ab04-19c5202854ea.json b/data/hfopenllm_v2/google/recurrentgemma-9b-it/f5b251f0-741c-4ad5-ab04-19c5202854ea.json
new file mode 100644
index 000000000..001b78f3b
--- /dev/null
+++ b/data/hfopenllm_v2/google/recurrentgemma-9b-it/f5b251f0-741c-4ad5-ab04-19c5202854ea.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/google_recurrentgemma-9b-it/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "recurrentgemma-9b-it",
+    "id": "google/recurrentgemma-9b-it",
+    "developer": "google",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "RecurrentGemmaForCausalLM",
+      "params_billions": 9.0
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.501
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4367
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0665
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2701
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4379
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2843
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/google/recurrentgemma-9b/7b2ba13a-e01d-4442-9abe-d16df1a1668a.json b/data/hfopenllm_v2/google/recurrentgemma-9b/7b2ba13a-e01d-4442-9abe-d16df1a1668a.json
new file mode 100644
index 000000000..549f07884
--- /dev/null
+++ b/data/hfopenllm_v2/google/recurrentgemma-9b/7b2ba13a-e01d-4442-9abe-d16df1a1668a.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/google_recurrentgemma-9b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "recurrentgemma-9b",
+    "id": "google/recurrentgemma-9b",
+    "developer": "google",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "RecurrentGemmaForCausalLM",
+      "params_billions": 9.0
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3116
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3956
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0665
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2852
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3803
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2605
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/google/sequelbox/gemma-2-9B-MOTH/4bdefb85-2413-43b7-8938-869ad0cff58f.json b/data/hfopenllm_v2/google/sequelbox/gemma-2-9B-MOTH/4bdefb85-2413-43b7-8938-869ad0cff58f.json
deleted file mode 100644
index 04a64eacd..000000000
--- a/data/hfopenllm_v2/google/sequelbox/gemma-2-9B-MOTH/4bdefb85-2413-43b7-8938-869ad0cff58f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/sequelbox_gemma-2-9B-MOTH/1762652580.5126731",
-  "retrieved_timestamp": "1762652580.512674",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "sequelbox/gemma-2-9B-MOTH",
-    "developer": "google",
-    "inference_platform": "unknown",
-    "id": "sequelbox/gemma-2-9B-MOTH",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Gemma2ForCausalLM",
-      "params_billions": 9.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.20588150551647405
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30797000521562534
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.010574018126888218
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2600671140939597
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3409479166666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11402925531914894
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/google/switch-base-8/43e22ce0-cdd7-424f-8a01-f9fea8b2a010.json b/data/hfopenllm_v2/google/switch-base-8/43e22ce0-cdd7-424f-8a01-f9fea8b2a010.json
deleted file mode 100644
index e25989ae0..000000000
--- a/data/hfopenllm_v2/google/switch-base-8/43e22ce0-cdd7-424f-8a01-f9fea8b2a010.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/google_switch-base-8/1762652580.180255",
-  "retrieved_timestamp": "1762652580.180256",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "google/switch-base-8",
-    "developer": "google",
-    "inference_platform": "unknown",
-    "id": "google/switch-base-8",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "SwitchTransformersForConditionalGeneration",
-      "params_billions": 0.62
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
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-      "evaluation_name": "BBH",
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-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.28763132730669333
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.0
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.25
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.35173958333333327
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.10979055851063829
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/google/switch-base-8/bf79f87c-3f14-49e8-acba-725e709d5f11.json b/data/hfopenllm_v2/google/switch-base-8/bf79f87c-3f14-49e8-acba-725e709d5f11.json
new file mode 100644
index 000000000..1bc6517df
--- /dev/null
+++ b/data/hfopenllm_v2/google/switch-base-8/bf79f87c-3f14-49e8-acba-725e709d5f11.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/google_switch-base-8/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "switch-base-8",
+    "id": "google/switch-base-8",
+    "developer": "google",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "SwitchTransformersForConditionalGeneration",
+      "params_billions": 0.62
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1585
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2876
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.25
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3517
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1098
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/google/umt5-base/3fbac7d4-cbbb-4b77-9db4-fd7e122cc90e.json b/data/hfopenllm_v2/google/umt5-base/3fbac7d4-cbbb-4b77-9db4-fd7e122cc90e.json
new file mode 100644
index 000000000..ee9655c66
--- /dev/null
+++ b/data/hfopenllm_v2/google/umt5-base/3fbac7d4-cbbb-4b77-9db4-fd7e122cc90e.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/google_umt5-base/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
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+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
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+        "hf_repo": "TAUR-Lab/MuSR"
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+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
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+      },
+      "score_details": {
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+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/google/umt5-base/659053b0-7694-41e7-916d-28406b3ed572.json b/data/hfopenllm_v2/google/umt5-base/659053b0-7694-41e7-916d-28406b3ed572.json
deleted file mode 100644
index 4d08697c4..000000000
--- a/data/hfopenllm_v2/google/umt5-base/659053b0-7694-41e7-916d-28406b3ed572.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/google/wzhouad/gemma-2-9b-it-WPO-HB/70fe199f-6c81-4d99-a595-208b7abc321f.json b/data/hfopenllm_v2/google/wzhouad/gemma-2-9b-it-WPO-HB/70fe199f-6c81-4d99-a595-208b7abc321f.json
deleted file mode 100644
index 36c4c761d..000000000
--- a/data/hfopenllm_v2/google/wzhouad/gemma-2-9b-it-WPO-HB/70fe199f-6c81-4d99-a595-208b7abc321f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-    "id": "wzhouad/gemma-2-9b-it-WPO-HB",
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diff --git a/data/hfopenllm_v2/google/ymcki/gemma-2-2b-ORPO-jpn-it-abliterated-18-merge/9c7a213f-e5f8-4cc2-9cbe-d61db2cf2bbe.json b/data/hfopenllm_v2/google/ymcki/gemma-2-2b-ORPO-jpn-it-abliterated-18-merge/9c7a213f-e5f8-4cc2-9cbe-d61db2cf2bbe.json
deleted file mode 100644
index bffbf304b..000000000
--- a/data/hfopenllm_v2/google/ymcki/gemma-2-2b-ORPO-jpn-it-abliterated-18-merge/9c7a213f-e5f8-4cc2-9cbe-d61db2cf2bbe.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/google/ymcki/gemma-2-2b-ORPO-jpn-it-abliterated-18/23800723-b5bd-4fc6-9d07-ca937c8680c6.json b/data/hfopenllm_v2/google/ymcki/gemma-2-2b-ORPO-jpn-it-abliterated-18/23800723-b5bd-4fc6-9d07-ca937c8680c6.json
deleted file mode 100644
index cc035870e..000000000
--- a/data/hfopenllm_v2/google/ymcki/gemma-2-2b-ORPO-jpn-it-abliterated-18/23800723-b5bd-4fc6-9d07-ca937c8680c6.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/google/ymcki/gemma-2-2b-jpn-it-abliterated-17-18-24/7321bd04-6f20-427a-8219-0ff2e299cb01.json b/data/hfopenllm_v2/google/ymcki/gemma-2-2b-jpn-it-abliterated-17-18-24/7321bd04-6f20-427a-8219-0ff2e299cb01.json
deleted file mode 100644
index 326fd12f9..000000000
--- a/data/hfopenllm_v2/google/ymcki/gemma-2-2b-jpn-it-abliterated-17-18-24/7321bd04-6f20-427a-8219-0ff2e299cb01.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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deleted file mode 100644
index 6e24e7599..000000000
--- a/data/hfopenllm_v2/google/ymcki/gemma-2-2b-jpn-it-abliterated-17-ORPO-alpaca/3cc8621a-b38c-4735-af09-027989774289.json
+++ /dev/null
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deleted file mode 100644
index d8ac068a2..000000000
--- a/data/hfopenllm_v2/google/ymcki/gemma-2-2b-jpn-it-abliterated-17-ORPO/44b47789-f529-4bae-9e87-196abc325efc.json
+++ /dev/null
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diff --git a/data/hfopenllm_v2/google/ymcki/gemma-2-2b-jpn-it-abliterated-17/5958a61d-bf39-4de4-bfe1-6a6db2f37f55.json b/data/hfopenllm_v2/google/ymcki/gemma-2-2b-jpn-it-abliterated-17/5958a61d-bf39-4de4-bfe1-6a6db2f37f55.json
deleted file mode 100644
index 62d33fd73..000000000
--- a/data/hfopenllm_v2/google/ymcki/gemma-2-2b-jpn-it-abliterated-17/5958a61d-bf39-4de4-bfe1-6a6db2f37f55.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/google/ymcki/gemma-2-2b-jpn-it-abliterated-18-ORPO/c91ab7d1-b36e-45ca-8f1e-ad9ef0c38100.json b/data/hfopenllm_v2/google/ymcki/gemma-2-2b-jpn-it-abliterated-18-ORPO/c91ab7d1-b36e-45ca-8f1e-ad9ef0c38100.json
deleted file mode 100644
index 51cc6e8b2..000000000
--- a/data/hfopenllm_v2/google/ymcki/gemma-2-2b-jpn-it-abliterated-18-ORPO/c91ab7d1-b36e-45ca-8f1e-ad9ef0c38100.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/google/ymcki/gemma-2-2b-jpn-it-abliterated-18/78f235b0-fa98-48e2-bb03-9f7e9f986004.json b/data/hfopenllm_v2/google/ymcki/gemma-2-2b-jpn-it-abliterated-18/78f235b0-fa98-48e2-bb03-9f7e9f986004.json
deleted file mode 100644
index 463bef961..000000000
--- a/data/hfopenllm_v2/google/ymcki/gemma-2-2b-jpn-it-abliterated-18/78f235b0-fa98-48e2-bb03-9f7e9f986004.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/google/ymcki/gemma-2-2b-jpn-it-abliterated-24/4f0262d9-2a01-4127-bb40-1bbf437bbc07.json b/data/hfopenllm_v2/google/ymcki/gemma-2-2b-jpn-it-abliterated-24/4f0262d9-2a01-4127-bb40-1bbf437bbc07.json
deleted file mode 100644
index 48ea972ec..000000000
--- a/data/hfopenllm_v2/google/ymcki/gemma-2-2b-jpn-it-abliterated-24/4f0262d9-2a01-4127-bb40-1bbf437bbc07.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/google/zake7749/gemma-2-9b-it-chinese-kyara/827af354-0efb-4a44-b62a-c8562fd0065b.json b/data/hfopenllm_v2/google/zake7749/gemma-2-9b-it-chinese-kyara/827af354-0efb-4a44-b62a-c8562fd0065b.json
deleted file mode 100644
index ea788f4f8..000000000
--- a/data/hfopenllm_v2/google/zake7749/gemma-2-9b-it-chinese-kyara/827af354-0efb-4a44-b62a-c8562fd0065b.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/google/zelk12/Gemma-2-TM-9B/4d3c877e-3dea-44af-8133-d555355971f8.json b/data/hfopenllm_v2/google/zelk12/Gemma-2-TM-9B/4d3c877e-3dea-44af-8133-d555355971f8.json
deleted file mode 100644
index bafa6fca6..000000000
--- a/data/hfopenllm_v2/google/zelk12/Gemma-2-TM-9B/4d3c877e-3dea-44af-8133-d555355971f8.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/google/zelk12/MT-Gen1-gemma-2-9B/119f453d-714d-4324-aac5-8448bab91771.json b/data/hfopenllm_v2/google/zelk12/MT-Gen1-gemma-2-9B/119f453d-714d-4324-aac5-8448bab91771.json
deleted file mode 100644
index f778b27c8..000000000
--- a/data/hfopenllm_v2/google/zelk12/MT-Gen1-gemma-2-9B/119f453d-714d-4324-aac5-8448bab91771.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/google/zelk12/MT-Gen2-GI-gemma-2-9B/0cf7e394-67e2-4ca3-ab2e-00cd4165eaf8.json b/data/hfopenllm_v2/google/zelk12/MT-Gen2-GI-gemma-2-9B/0cf7e394-67e2-4ca3-ab2e-00cd4165eaf8.json
deleted file mode 100644
index a9e136f62..000000000
--- a/data/hfopenllm_v2/google/zelk12/MT-Gen2-GI-gemma-2-9B/0cf7e394-67e2-4ca3-ab2e-00cd4165eaf8.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/google/zelk12/MT-Gen2-gemma-2-9B/6f5cbf98-67b4-4651-acee-160fe2e36f59.json b/data/hfopenllm_v2/google/zelk12/MT-Gen2-gemma-2-9B/6f5cbf98-67b4-4651-acee-160fe2e36f59.json
deleted file mode 100644
index 64cdb676f..000000000
--- a/data/hfopenllm_v2/google/zelk12/MT-Gen2-gemma-2-9B/6f5cbf98-67b4-4651-acee-160fe2e36f59.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/google/zelk12/MT-Gen3-gemma-2-9B/79319862-c5eb-40a1-9424-ecc3835c1c9e.json b/data/hfopenllm_v2/google/zelk12/MT-Gen3-gemma-2-9B/79319862-c5eb-40a1-9424-ecc3835c1c9e.json
deleted file mode 100644
index ea25bb621..000000000
--- a/data/hfopenllm_v2/google/zelk12/MT-Gen3-gemma-2-9B/79319862-c5eb-40a1-9424-ecc3835c1c9e.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/google/zelk12/MT-Gen4-gemma-2-9B/7442a4c1-e225-4cea-b107-2d975460e214.json b/data/hfopenllm_v2/google/zelk12/MT-Gen4-gemma-2-9B/7442a4c1-e225-4cea-b107-2d975460e214.json
deleted file mode 100644
index 75667b592..000000000
--- a/data/hfopenllm_v2/google/zelk12/MT-Gen4-gemma-2-9B/7442a4c1-e225-4cea-b107-2d975460e214.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/google/zelk12/MT-Gen5-gemma-2-9B/4431b126-a8b8-4776-8dd5-448ec4fb0caf.json b/data/hfopenllm_v2/google/zelk12/MT-Gen5-gemma-2-9B/4431b126-a8b8-4776-8dd5-448ec4fb0caf.json
deleted file mode 100644
index df4945fa3..000000000
--- a/data/hfopenllm_v2/google/zelk12/MT-Gen5-gemma-2-9B/4431b126-a8b8-4776-8dd5-448ec4fb0caf.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/google/zelk12/MT-Gen6-gemma-2-9B/2dc22f82-e2fb-4690-b8e6-8c77b9bc9c45.json b/data/hfopenllm_v2/google/zelk12/MT-Gen6-gemma-2-9B/2dc22f82-e2fb-4690-b8e6-8c77b9bc9c45.json
deleted file mode 100644
index 207b7c42f..000000000
--- a/data/hfopenllm_v2/google/zelk12/MT-Gen6-gemma-2-9B/2dc22f82-e2fb-4690-b8e6-8c77b9bc9c45.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/google/zelk12/MT-Gen6fix-gemma-2-9B/0c2ec793-573d-4fb5-abc3-4aef4a8e2e72.json b/data/hfopenllm_v2/google/zelk12/MT-Gen6fix-gemma-2-9B/0c2ec793-573d-4fb5-abc3-4aef4a8e2e72.json
deleted file mode 100644
index 723260a35..000000000
--- a/data/hfopenllm_v2/google/zelk12/MT-Gen6fix-gemma-2-9B/0c2ec793-573d-4fb5-abc3-4aef4a8e2e72.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/google/zelk12/MT-Gen7-gemma-2-9B/29e65163-3e59-4bfe-a950-60092cb3171f.json b/data/hfopenllm_v2/google/zelk12/MT-Gen7-gemma-2-9B/29e65163-3e59-4bfe-a950-60092cb3171f.json
deleted file mode 100644
index 9b53cc64d..000000000
--- a/data/hfopenllm_v2/google/zelk12/MT-Gen7-gemma-2-9B/29e65163-3e59-4bfe-a950-60092cb3171f.json
+++ /dev/null
@@ -1,105 +0,0 @@
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deleted file mode 100644
index d96652666..000000000
--- a/data/hfopenllm_v2/google/zelk12/MT-Max-Merge_02012025163610-gemma-2-9B/bfeb5972-e865-4892-b01b-0c92fdab79e9.json
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deleted file mode 100644
index 76dc89c60..000000000
--- a/data/hfopenllm_v2/google/zelk12/MT-Merge-gemma-2-9B/8025c7ed-3553-489f-8858-091d1ff81a15.json
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deleted file mode 100644
index 523459c64..000000000
--- a/data/hfopenllm_v2/google/zelk12/MT-Merge1-gemma-2-9B/0e6d9dcd-e9b7-4638-ac0a-d0600fbb27d8.json
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deleted file mode 100644
index f122bcd94..000000000
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deleted file mode 100644
index bcc78f67b..000000000
--- a/data/hfopenllm_v2/google/zelk12/MT-Merge2-gemma-2-9B/75c81dae-2bb9-4d60-94e2-61141c31ccbd.json
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deleted file mode 100644
index 7e7a917de..000000000
--- a/data/hfopenllm_v2/google/zelk12/MT-Merge3-gemma-2-9B/c2bad77e-c0d0-4a43-8853-9363cc618603.json
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diff --git a/data/hfopenllm_v2/google/zelk12/MT-Merge4-gemma-2-9B/7b515db9-e76c-495f-b4f8-a65b913f40e9.json b/data/hfopenllm_v2/google/zelk12/MT-Merge4-gemma-2-9B/7b515db9-e76c-495f-b4f8-a65b913f40e9.json
deleted file mode 100644
index 7c3721bc3..000000000
--- a/data/hfopenllm_v2/google/zelk12/MT-Merge4-gemma-2-9B/7b515db9-e76c-495f-b4f8-a65b913f40e9.json
+++ /dev/null
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diff --git a/data/hfopenllm_v2/google/zelk12/MT-Merge5-gemma-2-9B/f9e1d208-d1ab-4518-9b1b-1470af8bef12.json b/data/hfopenllm_v2/google/zelk12/MT-Merge5-gemma-2-9B/f9e1d208-d1ab-4518-9b1b-1470af8bef12.json
deleted file mode 100644
index 7e66d2a8f..000000000
--- a/data/hfopenllm_v2/google/zelk12/MT-Merge5-gemma-2-9B/f9e1d208-d1ab-4518-9b1b-1470af8bef12.json
+++ /dev/null
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diff --git a/data/hfopenllm_v2/google/zelk12/MT-Merge6-gemma-2-9B/3c796c74-d79c-4c9f-a5ab-dee6c237bde1.json b/data/hfopenllm_v2/google/zelk12/MT-Merge6-gemma-2-9B/3c796c74-d79c-4c9f-a5ab-dee6c237bde1.json
deleted file mode 100644
index d4e00a85a..000000000
--- a/data/hfopenllm_v2/google/zelk12/MT-Merge6-gemma-2-9B/3c796c74-d79c-4c9f-a5ab-dee6c237bde1.json
+++ /dev/null
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diff --git a/data/hfopenllm_v2/google/zelk12/MT-gemma-2-9B/061fc038-b3fd-4d5b-8ab7-7f3713ad9e55.json b/data/hfopenllm_v2/google/zelk12/MT-gemma-2-9B/061fc038-b3fd-4d5b-8ab7-7f3713ad9e55.json
deleted file mode 100644
index 395c1a04a..000000000
--- a/data/hfopenllm_v2/google/zelk12/MT-gemma-2-9B/061fc038-b3fd-4d5b-8ab7-7f3713ad9e55.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/google/zelk12/MT1-Gen1-gemma-2-9B/b869eab0-f736-48ef-8870-b98636cc4da1.json b/data/hfopenllm_v2/google/zelk12/MT1-Gen1-gemma-2-9B/b869eab0-f736-48ef-8870-b98636cc4da1.json
deleted file mode 100644
index 675035b27..000000000
--- a/data/hfopenllm_v2/google/zelk12/MT1-Gen1-gemma-2-9B/b869eab0-f736-48ef-8870-b98636cc4da1.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/google/zelk12/MT1-Gen2-gemma-2-9B/2871c1f6-4010-48e4-8020-1c5024474934.json b/data/hfopenllm_v2/google/zelk12/MT1-Gen2-gemma-2-9B/2871c1f6-4010-48e4-8020-1c5024474934.json
deleted file mode 100644
index c51d3e402..000000000
--- a/data/hfopenllm_v2/google/zelk12/MT1-Gen2-gemma-2-9B/2871c1f6-4010-48e4-8020-1c5024474934.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/google/zelk12/MT1-Gen3-gemma-2-9B/69b008dd-f8ad-49ce-9bca-fff2e2ce6b72.json b/data/hfopenllm_v2/google/zelk12/MT1-Gen3-gemma-2-9B/69b008dd-f8ad-49ce-9bca-fff2e2ce6b72.json
deleted file mode 100644
index 6df5ae028..000000000
--- a/data/hfopenllm_v2/google/zelk12/MT1-Gen3-gemma-2-9B/69b008dd-f8ad-49ce-9bca-fff2e2ce6b72.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/google/zelk12/MT1-Gen4-gemma-2-9B/e10f8a93-7131-446d-b792-d179f522a262.json b/data/hfopenllm_v2/google/zelk12/MT1-Gen4-gemma-2-9B/e10f8a93-7131-446d-b792-d179f522a262.json
deleted file mode 100644
index fd608d2fc..000000000
--- a/data/hfopenllm_v2/google/zelk12/MT1-Gen4-gemma-2-9B/e10f8a93-7131-446d-b792-d179f522a262.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/google/zelk12/MT1-Gen5-IF-gemma-2-S2DMv1-9B/182a7558-c9f7-43a6-a928-d5d97e082a91.json b/data/hfopenllm_v2/google/zelk12/MT1-Gen5-IF-gemma-2-S2DMv1-9B/182a7558-c9f7-43a6-a928-d5d97e082a91.json
deleted file mode 100644
index bb84e0c95..000000000
--- a/data/hfopenllm_v2/google/zelk12/MT1-Gen5-IF-gemma-2-S2DMv1-9B/182a7558-c9f7-43a6-a928-d5d97e082a91.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/google/zelk12/MT1-Gen5-gemma-2-9B/46f2caf1-29e8-4173-b2b2-e54e905e71d9.json b/data/hfopenllm_v2/google/zelk12/MT1-Gen5-gemma-2-9B/46f2caf1-29e8-4173-b2b2-e54e905e71d9.json
deleted file mode 100644
index 4c7b7a223..000000000
--- a/data/hfopenllm_v2/google/zelk12/MT1-Gen5-gemma-2-9B/46f2caf1-29e8-4173-b2b2-e54e905e71d9.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/google/zelk12/MT1-Gen6-gemma-2-9B/fcf4087e-9d89-4e8a-a817-6c9092445208.json b/data/hfopenllm_v2/google/zelk12/MT1-Gen6-gemma-2-9B/fcf4087e-9d89-4e8a-a817-6c9092445208.json
deleted file mode 100644
index 55d51f2a9..000000000
--- a/data/hfopenllm_v2/google/zelk12/MT1-Gen6-gemma-2-9B/fcf4087e-9d89-4e8a-a817-6c9092445208.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/google/zelk12/MT1-Gen7-gemma-2-9B/5b8bdeea-19cf-41c0-890a-55ae1b740e75.json b/data/hfopenllm_v2/google/zelk12/MT1-Gen7-gemma-2-9B/5b8bdeea-19cf-41c0-890a-55ae1b740e75.json
deleted file mode 100644
index 95410eb5a..000000000
--- a/data/hfopenllm_v2/google/zelk12/MT1-Gen7-gemma-2-9B/5b8bdeea-19cf-41c0-890a-55ae1b740e75.json
+++ /dev/null
@@ -1,105 +0,0 @@
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deleted file mode 100644
index 02b7cc373..000000000
--- a/data/hfopenllm_v2/google/zelk12/MT1-Max-Merge_02012025163610-gemma-2-9B/01fcc284-cedc-48b7-bc21-b8ec6dd53d3c.json
+++ /dev/null
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deleted file mode 100644
index 29ff10a58..000000000
--- a/data/hfopenllm_v2/google/zelk12/MT1-gemma-2-9B/17cda965-9f4b-411c-977f-1fe3238f527f.json
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deleted file mode 100644
index eb86159b9..000000000
--- a/data/hfopenllm_v2/google/zelk12/MT2-Gen1-gemma-2-9B/e6c0f96c-6189-4ed1-bf68-e762249170e7.json
+++ /dev/null
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deleted file mode 100644
index aed53bb3a..000000000
--- a/data/hfopenllm_v2/google/zelk12/MT2-Gen2-gemma-2-9B/556a83e2-9b7c-432e-99d5-804da880dfc6.json
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deleted file mode 100644
index 2afc82b82..000000000
--- a/data/hfopenllm_v2/google/zelk12/MT2-Gen3-gemma-2-9B/1aa85069-5409-4c32-91d5-1f417be4e465.json
+++ /dev/null
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diff --git a/data/hfopenllm_v2/google/zelk12/MT2-Gen4-gemma-2-9B/eb55e4d5-dde4-4349-b8aa-9297604cedf0.json b/data/hfopenllm_v2/google/zelk12/MT2-Gen4-gemma-2-9B/eb55e4d5-dde4-4349-b8aa-9297604cedf0.json
deleted file mode 100644
index 903b15061..000000000
--- a/data/hfopenllm_v2/google/zelk12/MT2-Gen4-gemma-2-9B/eb55e4d5-dde4-4349-b8aa-9297604cedf0.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/google/zelk12/MT2-Gen5-gemma-2-9B/3f7eb2b4-8dfb-4bf5-a462-0c11ccbae935.json b/data/hfopenllm_v2/google/zelk12/MT2-Gen5-gemma-2-9B/3f7eb2b4-8dfb-4bf5-a462-0c11ccbae935.json
deleted file mode 100644
index e09277745..000000000
--- a/data/hfopenllm_v2/google/zelk12/MT2-Gen5-gemma-2-9B/3f7eb2b4-8dfb-4bf5-a462-0c11ccbae935.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/google/zelk12/MT2-Gen6-gemma-2-9B/35e1f76a-96d6-42af-a51b-b1b453536723.json b/data/hfopenllm_v2/google/zelk12/MT2-Gen6-gemma-2-9B/35e1f76a-96d6-42af-a51b-b1b453536723.json
deleted file mode 100644
index 76d7b77c8..000000000
--- a/data/hfopenllm_v2/google/zelk12/MT2-Gen6-gemma-2-9B/35e1f76a-96d6-42af-a51b-b1b453536723.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/google/zelk12/MT2-Gen7-gemma-2-9B/4b9e66cf-0ddb-4878-8800-2bc05dec750a.json b/data/hfopenllm_v2/google/zelk12/MT2-Gen7-gemma-2-9B/4b9e66cf-0ddb-4878-8800-2bc05dec750a.json
deleted file mode 100644
index d4123874a..000000000
--- a/data/hfopenllm_v2/google/zelk12/MT2-Gen7-gemma-2-9B/4b9e66cf-0ddb-4878-8800-2bc05dec750a.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/google/zelk12/MT2-Max-Merge_02012025163610-gemma-2-9B/2144960d-f674-45bd-9509-3cf711dc697b.json b/data/hfopenllm_v2/google/zelk12/MT2-Max-Merge_02012025163610-gemma-2-9B/2144960d-f674-45bd-9509-3cf711dc697b.json
deleted file mode 100644
index bf6ca6dd0..000000000
--- a/data/hfopenllm_v2/google/zelk12/MT2-Max-Merge_02012025163610-gemma-2-9B/2144960d-f674-45bd-9509-3cf711dc697b.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/google/zelk12/MT2-gemma-2-9B/0644b140-506f-4c7a-ba59-50ab48fad799.json b/data/hfopenllm_v2/google/zelk12/MT2-gemma-2-9B/0644b140-506f-4c7a-ba59-50ab48fad799.json
deleted file mode 100644
index ab20bb74b..000000000
--- a/data/hfopenllm_v2/google/zelk12/MT2-gemma-2-9B/0644b140-506f-4c7a-ba59-50ab48fad799.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/google/zelk12/MT3-Gen1-gemma-2-9B/1964f25a-d5b2-467a-a30d-9338082bdcfb.json b/data/hfopenllm_v2/google/zelk12/MT3-Gen1-gemma-2-9B/1964f25a-d5b2-467a-a30d-9338082bdcfb.json
deleted file mode 100644
index daa9612e6..000000000
--- a/data/hfopenllm_v2/google/zelk12/MT3-Gen1-gemma-2-9B/1964f25a-d5b2-467a-a30d-9338082bdcfb.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/google/zelk12/MT3-Gen2-gemma-2-9B/55315256-9b4d-4dbd-bc53-7ec384e0fdca.json b/data/hfopenllm_v2/google/zelk12/MT3-Gen2-gemma-2-9B/55315256-9b4d-4dbd-bc53-7ec384e0fdca.json
deleted file mode 100644
index c6ea66b4d..000000000
--- a/data/hfopenllm_v2/google/zelk12/MT3-Gen2-gemma-2-9B/55315256-9b4d-4dbd-bc53-7ec384e0fdca.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/google/zelk12/MT3-Gen3-gemma-2-9B/71710546-99cb-4180-9454-1e77696fccf3.json b/data/hfopenllm_v2/google/zelk12/MT3-Gen3-gemma-2-9B/71710546-99cb-4180-9454-1e77696fccf3.json
deleted file mode 100644
index a2cc6a597..000000000
--- a/data/hfopenllm_v2/google/zelk12/MT3-Gen3-gemma-2-9B/71710546-99cb-4180-9454-1e77696fccf3.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/google/zelk12/MT3-Gen4-gemma-2-9B/96b38b17-8c70-4ecf-beb5-8e6ed84942ac.json b/data/hfopenllm_v2/google/zelk12/MT3-Gen4-gemma-2-9B/96b38b17-8c70-4ecf-beb5-8e6ed84942ac.json
deleted file mode 100644
index b7b4d4638..000000000
--- a/data/hfopenllm_v2/google/zelk12/MT3-Gen4-gemma-2-9B/96b38b17-8c70-4ecf-beb5-8e6ed84942ac.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/google/zelk12/MT3-Gen5-gemma-2-9B/53dc50c8-fa89-4d31-92d6-f8b02543e272.json b/data/hfopenllm_v2/google/zelk12/MT3-Gen5-gemma-2-9B/53dc50c8-fa89-4d31-92d6-f8b02543e272.json
deleted file mode 100644
index 8b59e7ede..000000000
--- a/data/hfopenllm_v2/google/zelk12/MT3-Gen5-gemma-2-9B/53dc50c8-fa89-4d31-92d6-f8b02543e272.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/google/zelk12/MT3-Gen5-gemma-2-9B_v1/95fe9cce-c93d-47e3-a053-defe922abefa.json b/data/hfopenllm_v2/google/zelk12/MT3-Gen5-gemma-2-9B_v1/95fe9cce-c93d-47e3-a053-defe922abefa.json
deleted file mode 100644
index 66cbf675b..000000000
--- a/data/hfopenllm_v2/google/zelk12/MT3-Gen5-gemma-2-9B_v1/95fe9cce-c93d-47e3-a053-defe922abefa.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/google/zelk12/MT3-Gen6-gemma-2-9B/9f093c1a-eabc-4ee3-9e43-9ac0bc3afa08.json b/data/hfopenllm_v2/google/zelk12/MT3-Gen6-gemma-2-9B/9f093c1a-eabc-4ee3-9e43-9ac0bc3afa08.json
deleted file mode 100644
index 41d861084..000000000
--- a/data/hfopenllm_v2/google/zelk12/MT3-Gen6-gemma-2-9B/9f093c1a-eabc-4ee3-9e43-9ac0bc3afa08.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/google/zelk12/MT3-Max-Merge_02012025163610-gemma-2-9B/42e21a24-7c3c-4e65-ad6e-0b18f6c048eb.json b/data/hfopenllm_v2/google/zelk12/MT3-Max-Merge_02012025163610-gemma-2-9B/42e21a24-7c3c-4e65-ad6e-0b18f6c048eb.json
deleted file mode 100644
index 20ca5fba4..000000000
--- a/data/hfopenllm_v2/google/zelk12/MT3-Max-Merge_02012025163610-gemma-2-9B/42e21a24-7c3c-4e65-ad6e-0b18f6c048eb.json
+++ /dev/null
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diff --git a/data/hfopenllm_v2/google/zelk12/MT3-gemma-2-9B/0b8f178b-9980-4250-bc82-66facb367eb8.json b/data/hfopenllm_v2/google/zelk12/MT3-gemma-2-9B/0b8f178b-9980-4250-bc82-66facb367eb8.json
deleted file mode 100644
index 6b84acf83..000000000
--- a/data/hfopenllm_v2/google/zelk12/MT3-gemma-2-9B/0b8f178b-9980-4250-bc82-66facb367eb8.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/google/zelk12/MT4-Gen1-gemma-2-9B/6e5b6be6-cc1d-4a03-8e5e-eeede4ee4298.json b/data/hfopenllm_v2/google/zelk12/MT4-Gen1-gemma-2-9B/6e5b6be6-cc1d-4a03-8e5e-eeede4ee4298.json
deleted file mode 100644
index d0dd878ee..000000000
--- a/data/hfopenllm_v2/google/zelk12/MT4-Gen1-gemma-2-9B/6e5b6be6-cc1d-4a03-8e5e-eeede4ee4298.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/google/zelk12/MT4-Gen2-gemma-2-9B/e7f0b28a-32c6-4faf-9cb4-c2ee4a075135.json b/data/hfopenllm_v2/google/zelk12/MT4-Gen2-gemma-2-9B/e7f0b28a-32c6-4faf-9cb4-c2ee4a075135.json
deleted file mode 100644
index 3210237e8..000000000
--- a/data/hfopenllm_v2/google/zelk12/MT4-Gen2-gemma-2-9B/e7f0b28a-32c6-4faf-9cb4-c2ee4a075135.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/google/zelk12/MT4-Gen3-gemma-2-9B/b84ca7e1-4746-449a-841f-fcfd71774104.json b/data/hfopenllm_v2/google/zelk12/MT4-Gen3-gemma-2-9B/b84ca7e1-4746-449a-841f-fcfd71774104.json
deleted file mode 100644
index ced7a16df..000000000
--- a/data/hfopenllm_v2/google/zelk12/MT4-Gen3-gemma-2-9B/b84ca7e1-4746-449a-841f-fcfd71774104.json
+++ /dev/null
@@ -1,105 +0,0 @@
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deleted file mode 100644
index 78ed13256..000000000
--- a/data/hfopenllm_v2/google/zelk12/MT4-Gen4-gemma-2-9B/b38dc953-12fb-41aa-a887-d9a30ff1799a.json
+++ /dev/null
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deleted file mode 100644
index 5640d7375..000000000
--- a/data/hfopenllm_v2/google/zelk12/MT4-Gen5-gemma-2-9B/4a35f213-f9b7-40c5-b164-722f6b4ee933.json
+++ /dev/null
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diff --git a/data/hfopenllm_v2/google/zelk12/MT4-Max-Merge_02012025163610-gemma-2-9B/ae4224f6-36e8-48e2-a0bf-a79299c365ad.json b/data/hfopenllm_v2/google/zelk12/MT4-Max-Merge_02012025163610-gemma-2-9B/ae4224f6-36e8-48e2-a0bf-a79299c365ad.json
deleted file mode 100644
index b5aba8355..000000000
--- a/data/hfopenllm_v2/google/zelk12/MT4-Max-Merge_02012025163610-gemma-2-9B/ae4224f6-36e8-48e2-a0bf-a79299c365ad.json
+++ /dev/null
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diff --git a/data/hfopenllm_v2/google/zelk12/MT4-gemma-2-9B/a312ee46-fd2f-4a0d-a778-7e235910a147.json b/data/hfopenllm_v2/google/zelk12/MT4-gemma-2-9B/a312ee46-fd2f-4a0d-a778-7e235910a147.json
deleted file mode 100644
index 5f6c239c0..000000000
--- a/data/hfopenllm_v2/google/zelk12/MT4-gemma-2-9B/a312ee46-fd2f-4a0d-a778-7e235910a147.json
+++ /dev/null
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diff --git a/data/hfopenllm_v2/google/zelk12/MT5-Gen1-gemma-2-9B/b311d3f4-6eda-4053-91d2-416c4d796c6d.json b/data/hfopenllm_v2/google/zelk12/MT5-Gen1-gemma-2-9B/b311d3f4-6eda-4053-91d2-416c4d796c6d.json
deleted file mode 100644
index 1f9f0ae73..000000000
--- a/data/hfopenllm_v2/google/zelk12/MT5-Gen1-gemma-2-9B/b311d3f4-6eda-4053-91d2-416c4d796c6d.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/google/zelk12/MT5-Gen2-gemma-2-9B/d59d00da-e88f-4d1a-9c47-538020ae0114.json b/data/hfopenllm_v2/google/zelk12/MT5-Gen2-gemma-2-9B/d59d00da-e88f-4d1a-9c47-538020ae0114.json
deleted file mode 100644
index 7f1b1e6a6..000000000
--- a/data/hfopenllm_v2/google/zelk12/MT5-Gen2-gemma-2-9B/d59d00da-e88f-4d1a-9c47-538020ae0114.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/google/zelk12/MT5-Gen3-gemma-2-9B/1ff959c7-3477-40e5-8460-971337adc788.json b/data/hfopenllm_v2/google/zelk12/MT5-Gen3-gemma-2-9B/1ff959c7-3477-40e5-8460-971337adc788.json
deleted file mode 100644
index 2fcce744c..000000000
--- a/data/hfopenllm_v2/google/zelk12/MT5-Gen3-gemma-2-9B/1ff959c7-3477-40e5-8460-971337adc788.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/google/zelk12/MT5-Gen4-gemma-2-9B/6cbd7c31-df0a-4920-9c23-be53f107698e.json b/data/hfopenllm_v2/google/zelk12/MT5-Gen4-gemma-2-9B/6cbd7c31-df0a-4920-9c23-be53f107698e.json
deleted file mode 100644
index 34c801cb6..000000000
--- a/data/hfopenllm_v2/google/zelk12/MT5-Gen4-gemma-2-9B/6cbd7c31-df0a-4920-9c23-be53f107698e.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/google/zelk12/MT5-Gen5-gemma-2-9B/b4ca4df6-2631-4ba3-bb55-8eadec5dd348.json b/data/hfopenllm_v2/google/zelk12/MT5-Gen5-gemma-2-9B/b4ca4df6-2631-4ba3-bb55-8eadec5dd348.json
deleted file mode 100644
index ee82549d7..000000000
--- a/data/hfopenllm_v2/google/zelk12/MT5-Gen5-gemma-2-9B/b4ca4df6-2631-4ba3-bb55-8eadec5dd348.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/google/zelk12/MT5-Max-Merge_02012025163610-gemma-2-9B/6737b327-bd1c-4eee-a461-af685edcd7b5.json b/data/hfopenllm_v2/google/zelk12/MT5-Max-Merge_02012025163610-gemma-2-9B/6737b327-bd1c-4eee-a461-af685edcd7b5.json
deleted file mode 100644
index 84ff8ab38..000000000
--- a/data/hfopenllm_v2/google/zelk12/MT5-Max-Merge_02012025163610-gemma-2-9B/6737b327-bd1c-4eee-a461-af685edcd7b5.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/google/zelk12/MT5-gemma-2-9B/dd306da8-60aa-4022-8d04-1942fd19bc0b.json b/data/hfopenllm_v2/google/zelk12/MT5-gemma-2-9B/dd306da8-60aa-4022-8d04-1942fd19bc0b.json
deleted file mode 100644
index eb92a008e..000000000
--- a/data/hfopenllm_v2/google/zelk12/MT5-gemma-2-9B/dd306da8-60aa-4022-8d04-1942fd19bc0b.json
+++ /dev/null
@@ -1,105 +0,0 @@
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deleted file mode 100644
index e8f3218ac..000000000
--- a/data/hfopenllm_v2/google/zelk12/MTM-Merge-gemma-2-9B/e0354dac-3ad8-4342-92a9-be0182051cac.json
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deleted file mode 100644
index 1d8c462ce..000000000
--- a/data/hfopenllm_v2/google/zelk12/MTMaMe-Merge_02012025163610-gemma-2-9B/b1a8ede3-2f27-4825-a413-e1772743b7c6.json
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deleted file mode 100644
index 913dae30c..000000000
--- a/data/hfopenllm_v2/google/zelk12/Rv0.4DMv1t0.25-gemma-2-9B/522e1145-3f25-4b5d-9b6a-7ad0047b2da5.json
+++ /dev/null
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deleted file mode 100644
index 9c710ddfc..000000000
--- a/data/hfopenllm_v2/google/zelk12/Rv0.4DMv1t0.25Tt0.25-gemma-2-9B/64790745-5edc-49d9-8111-822d54518b58.json
+++ /dev/null
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diff --git a/data/hfopenllm_v2/google/zelk12/Rv0.4MT4g2-gemma-2-9B/7e232332-cf13-4127-be18-1311921931e6.json b/data/hfopenllm_v2/google/zelk12/Rv0.4MT4g2-gemma-2-9B/7e232332-cf13-4127-be18-1311921931e6.json
deleted file mode 100644
index d861a6c40..000000000
--- a/data/hfopenllm_v2/google/zelk12/Rv0.4MT4g2-gemma-2-9B/7e232332-cf13-4127-be18-1311921931e6.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/google/zelk12/T31122024203920-gemma-2-9B/f1312aef-339c-487a-b0fa-1bf4a77f0910.json b/data/hfopenllm_v2/google/zelk12/T31122024203920-gemma-2-9B/f1312aef-339c-487a-b0fa-1bf4a77f0910.json
deleted file mode 100644
index fb37dcb9c..000000000
--- a/data/hfopenllm_v2/google/zelk12/T31122024203920-gemma-2-9B/f1312aef-339c-487a-b0fa-1bf4a77f0910.json
+++ /dev/null
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diff --git a/data/hfopenllm_v2/google/zelk12/Test01012025155054t0.5_gemma-2/73f07833-1d35-484f-8fe3-57f4c27e1277.json b/data/hfopenllm_v2/google/zelk12/Test01012025155054t0.5_gemma-2/73f07833-1d35-484f-8fe3-57f4c27e1277.json
deleted file mode 100644
index e223a7417..000000000
--- a/data/hfopenllm_v2/google/zelk12/Test01012025155054t0.5_gemma-2/73f07833-1d35-484f-8fe3-57f4c27e1277.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/google/zelk12/gemma-2-S2MTM-9B/e0eb1bbf-923b-4bee-8390-288c21607e0e.json b/data/hfopenllm_v2/google/zelk12/gemma-2-S2MTM-9B/e0eb1bbf-923b-4bee-8390-288c21607e0e.json
deleted file mode 100644
index 25fe01838..000000000
--- a/data/hfopenllm_v2/google/zelk12/gemma-2-S2MTM-9B/e0eb1bbf-923b-4bee-8390-288c21607e0e.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/google/zelk12/recoilme-gemma-2-Ataraxy-9B-v0.1-t0.25/b9ce6ed3-132a-44ed-9efc-dbfcc83d6799.json b/data/hfopenllm_v2/google/zelk12/recoilme-gemma-2-Ataraxy-9B-v0.1-t0.25/b9ce6ed3-132a-44ed-9efc-dbfcc83d6799.json
deleted file mode 100644
index 4d9db37e6..000000000
--- a/data/hfopenllm_v2/google/zelk12/recoilme-gemma-2-Ataraxy-9B-v0.1-t0.25/b9ce6ed3-132a-44ed-9efc-dbfcc83d6799.json
+++ /dev/null
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diff --git a/data/hfopenllm_v2/google/zelk12/recoilme-gemma-2-Ataraxy-9B-v0.1-t0.75/a2b9a953-31e2-4a6f-8005-993e1133246e.json b/data/hfopenllm_v2/google/zelk12/recoilme-gemma-2-Ataraxy-9B-v0.1-t0.75/a2b9a953-31e2-4a6f-8005-993e1133246e.json
deleted file mode 100644
index 8d92108fe..000000000
--- a/data/hfopenllm_v2/google/zelk12/recoilme-gemma-2-Ataraxy-9B-v0.1-t0.75/a2b9a953-31e2-4a6f-8005-993e1133246e.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/google/zelk12/recoilme-gemma-2-Ataraxy-9B-v0.1/6850eb56-9f2c-4d4f-a82a-29e24b81b8b3.json b/data/hfopenllm_v2/google/zelk12/recoilme-gemma-2-Ataraxy-9B-v0.1/6850eb56-9f2c-4d4f-a82a-29e24b81b8b3.json
deleted file mode 100644
index a4456481f..000000000
--- a/data/hfopenllm_v2/google/zelk12/recoilme-gemma-2-Ataraxy-9B-v0.1/6850eb56-9f2c-4d4f-a82a-29e24b81b8b3.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/google/zelk12/recoilme-gemma-2-Ataraxy-9B-v0.2/7f429355-b60b-4298-8eb0-a072a80898d7.json b/data/hfopenllm_v2/google/zelk12/recoilme-gemma-2-Ataraxy-9B-v0.2/7f429355-b60b-4298-8eb0-a072a80898d7.json
deleted file mode 100644
index d65491692..000000000
--- a/data/hfopenllm_v2/google/zelk12/recoilme-gemma-2-Ataraxy-9B-v0.2/7f429355-b60b-4298-8eb0-a072a80898d7.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/zelk12_recoilme-gemma-2-Ataraxy-9B-v0.2/1762652580.6306539",
-  "retrieved_timestamp": "1762652580.6306539",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
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-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "zelk12/recoilme-gemma-2-Ataraxy-9B-v0.2",
-    "developer": "google",
-    "inference_platform": "unknown",
-    "id": "zelk12/recoilme-gemma-2-Ataraxy-9B-v0.2",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Gemma2ForCausalLM",
-      "params_billions": 10.159
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-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
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-        "score_type": "continuous",
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-      "score_details": {
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-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    {
-      "evaluation_name": "GPQA",
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-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
-        "score": 0.34815436241610737
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
-        "score": 0.4109583333333333
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.43226396276595747
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/google/zelk12/recoilme-gemma-2-Gutenberg-Doppel-9B-v0.1/774a3b0c-acae-4ad2-a2a6-42c30e1db7c0.json b/data/hfopenllm_v2/google/zelk12/recoilme-gemma-2-Gutenberg-Doppel-9B-v0.1/774a3b0c-acae-4ad2-a2a6-42c30e1db7c0.json
deleted file mode 100644
index 1a9ec9576..000000000
--- a/data/hfopenllm_v2/google/zelk12/recoilme-gemma-2-Gutenberg-Doppel-9B-v0.1/774a3b0c-acae-4ad2-a2a6-42c30e1db7c0.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/zelk12_recoilme-gemma-2-Gutenberg-Doppel-9B-v0.1/1762652580.630864",
-  "retrieved_timestamp": "1762652580.6308649",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "zelk12/recoilme-gemma-2-Gutenberg-Doppel-9B-v0.1",
-    "developer": "google",
-    "inference_platform": "unknown",
-    "id": "zelk12/recoilme-gemma-2-Gutenberg-Doppel-9B-v0.1",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Gemma2ForCausalLM",
-      "params_billions": 10.159
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7615227596111651
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6098779556010631
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.20996978851963746
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3414429530201342
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.43102083333333335
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4315159574468085
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/google/zelk12/recoilme-gemma-2-Ifable-9B-v0.1/e8502d8d-87bd-444c-b41b-7f8d4eb15b29.json b/data/hfopenllm_v2/google/zelk12/recoilme-gemma-2-Ifable-9B-v0.1/e8502d8d-87bd-444c-b41b-7f8d4eb15b29.json
deleted file mode 100644
index 45762f3bc..000000000
--- a/data/hfopenllm_v2/google/zelk12/recoilme-gemma-2-Ifable-9B-v0.1/e8502d8d-87bd-444c-b41b-7f8d4eb15b29.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/zelk12_recoilme-gemma-2-Ifable-9B-v0.1/1762652580.6310751",
-  "retrieved_timestamp": "1762652580.631076",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "zelk12/recoilme-gemma-2-Ifable-9B-v0.1",
-    "developer": "google",
-    "inference_platform": "unknown",
-    "id": "zelk12/recoilme-gemma-2-Ifable-9B-v0.1",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Gemma2ForCausalLM",
-      "params_billions": 10.159
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7943955371746965
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6064399292200404
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.35151006711409394
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42022916666666665
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4323470744680851
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/google/zelk12/recoilme-gemma-2-psy10k-mental_healt-9B-v0.1/735bed66-1e83-4647-b730-14f0d571d597.json b/data/hfopenllm_v2/google/zelk12/recoilme-gemma-2-psy10k-mental_healt-9B-v0.1/735bed66-1e83-4647-b730-14f0d571d597.json
deleted file mode 100644
index 413e927e1..000000000
--- a/data/hfopenllm_v2/google/zelk12/recoilme-gemma-2-psy10k-mental_healt-9B-v0.1/735bed66-1e83-4647-b730-14f0d571d597.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/zelk12_recoilme-gemma-2-psy10k-mental_healt-9B-v0.1/1762652580.631496",
-  "retrieved_timestamp": "1762652580.631499",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "zelk12/recoilme-gemma-2-psy10k-mental_healt-9B-v0.1",
-    "developer": "google",
-    "inference_platform": "unknown",
-    "id": "zelk12/recoilme-gemma-2-psy10k-mental_healt-9B-v0.1",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Gemma2ForCausalLM",
-      "params_billions": 10.159
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.744536718130117
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.597759349920723
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.18882175226586104
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42946875
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41805186170212766
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/goulue5/merging_LLM/6efd0dbd-b8c1-4c66-bdf7-19055c16ca22.json b/data/hfopenllm_v2/goulue5/merging_LLM/6efd0dbd-b8c1-4c66-bdf7-19055c16ca22.json
new file mode 100644
index 000000000..384e12c7d
--- /dev/null
+++ b/data/hfopenllm_v2/goulue5/merging_LLM/6efd0dbd-b8c1-4c66-bdf7-19055c16ca22.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/goulue5_merging_LLM/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "merging_LLM",
+    "id": "goulue5/merging_LLM",
+    "developer": "goulue5",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 1.544
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3233
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4216
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0967
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2911
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4333
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2958
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/goulue5/merging_LLM/a7fb7d77-93c3-41c8-a85a-692953dcd2c6.json b/data/hfopenllm_v2/goulue5/merging_LLM/a7fb7d77-93c3-41c8-a85a-692953dcd2c6.json
deleted file mode 100644
index b5db5ffef..000000000
--- a/data/hfopenllm_v2/goulue5/merging_LLM/a7fb7d77-93c3-41c8-a85a-692953dcd2c6.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/goulue5_merging_LLM/1762652580.1806688",
-  "retrieved_timestamp": "1762652580.18067",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "goulue5/merging_LLM",
-    "developer": "goulue5",
-    "inference_platform": "unknown",
-    "id": "goulue5/merging_LLM",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 1.544
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
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diff --git a/data/hfopenllm_v2/gradientai/Llama-3-8B-Instruct-Gradient-1048k/1388b8d4-c711-480c-8a06-a8b7bd8aa79c.json b/data/hfopenllm_v2/gradientai/Llama-3-8B-Instruct-Gradient-1048k/1388b8d4-c711-480c-8a06-a8b7bd8aa79c.json
new file mode 100644
index 000000000..62b5a87b9
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/gradientai/Llama-3-8B-Instruct-Gradient-1048k/79d366fc-e21c-4e5e-bb94-8d221d9df715.json b/data/hfopenllm_v2/gradientai/Llama-3-8B-Instruct-Gradient-1048k/79d366fc-e21c-4e5e-bb94-8d221d9df715.json
deleted file mode 100644
index 4aee94ca5..000000000
--- a/data/hfopenllm_v2/gradientai/Llama-3-8B-Instruct-Gradient-1048k/79d366fc-e21c-4e5e-bb94-8d221d9df715.json
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diff --git a/data/hfopenllm_v2/grimjim/DeepSauerHuatuoSkywork-R1-o1-Llama-3.1-8B/03393ffd-1923-4767-ba14-d0e3e6751842.json b/data/hfopenllm_v2/grimjim/DeepSauerHuatuoSkywork-R1-o1-Llama-3.1-8B/03393ffd-1923-4767-ba14-d0e3e6751842.json
new file mode 100644
index 000000000..ff2605288
--- /dev/null
+++ b/data/hfopenllm_v2/grimjim/DeepSauerHuatuoSkywork-R1-o1-Llama-3.1-8B/03393ffd-1923-4767-ba14-d0e3e6751842.json
@@ -0,0 +1,132 @@
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+    "id": "grimjim/DeepSauerHuatuoSkywork-R1-o1-Llama-3.1-8B",
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/grimjim/Gigantes-v1-gemma2-9b-it/b7d049dc-127d-4075-8067-22adac9a58c3.json b/data/hfopenllm_v2/grimjim/Gigantes-v1-gemma2-9b-it/b7d049dc-127d-4075-8067-22adac9a58c3.json
new file mode 100644
index 000000000..fac07281a
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+++ b/data/hfopenllm_v2/grimjim/Gigantes-v1-gemma2-9b-it/b7d049dc-127d-4075-8067-22adac9a58c3.json
@@ -0,0 +1,132 @@
+{
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+        "hf_repo": "TAUR-Lab/MuSR"
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/grimjim/Gigantes-v2-gemma2-9b-it/89d79024-f4b8-4165-bd88-47f2b0010800.json b/data/hfopenllm_v2/grimjim/Gigantes-v2-gemma2-9b-it/89d79024-f4b8-4165-bd88-47f2b0010800.json
new file mode 100644
index 000000000..b451c7250
--- /dev/null
+++ b/data/hfopenllm_v2/grimjim/Gigantes-v2-gemma2-9b-it/89d79024-f4b8-4165-bd88-47f2b0010800.json
@@ -0,0 +1,132 @@
+{
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+  "source_metadata": {
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+    "source_type": "documentation",
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/grimjim/Gigantes-v3-gemma2-9b-it/d2c0fb0d-6c0c-464a-b09f-6382a57b6afb.json b/data/hfopenllm_v2/grimjim/Gigantes-v3-gemma2-9b-it/d2c0fb0d-6c0c-464a-b09f-6382a57b6afb.json
new file mode 100644
index 000000000..918da3c13
--- /dev/null
+++ b/data/hfopenllm_v2/grimjim/Gigantes-v3-gemma2-9b-it/d2c0fb0d-6c0c-464a-b09f-6382a57b6afb.json
@@ -0,0 +1,132 @@
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/grimjim/HuatuoSkywork-o1-Llama-3.1-8B/a891b28a-2dcc-4b8e-ad20-1f23d663b44b.json b/data/hfopenllm_v2/grimjim/HuatuoSkywork-o1-Llama-3.1-8B/a891b28a-2dcc-4b8e-ad20-1f23d663b44b.json
new file mode 100644
index 000000000..6204ca20a
--- /dev/null
+++ b/data/hfopenllm_v2/grimjim/HuatuoSkywork-o1-Llama-3.1-8B/a891b28a-2dcc-4b8e-ad20-1f23d663b44b.json
@@ -0,0 +1,132 @@
+{
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+  "evaluation_id": "hfopenllm_v2/grimjim_HuatuoSkywork-o1-Llama-3.1-8B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "HuatuoSkywork-o1-Llama-3.1-8B",
+    "id": "grimjim/HuatuoSkywork-o1-Llama-3.1-8B",
+    "developer": "grimjim",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
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+      "source_data": {
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+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
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+        "score_type": "continuous",
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+    {
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+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
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+      },
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+    },
+    {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
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+    {
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+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
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+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/grimjim/Llama-3-Instruct-8B-SPPO-Iter3-SimPO-merge/55e274bb-1e2c-4402-b7ae-09ff7b1f9738.json b/data/hfopenllm_v2/grimjim/Llama-3-Instruct-8B-SPPO-Iter3-SimPO-merge/55e274bb-1e2c-4402-b7ae-09ff7b1f9738.json
new file mode 100644
index 000000000..bd55b41d5
--- /dev/null
+++ b/data/hfopenllm_v2/grimjim/Llama-3-Instruct-8B-SPPO-Iter3-SimPO-merge/55e274bb-1e2c-4402-b7ae-09ff7b1f9738.json
@@ -0,0 +1,132 @@
+{
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+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-3-Instruct-8B-SPPO-Iter3-SimPO-merge",
+    "id": "grimjim/Llama-3-Instruct-8B-SPPO-Iter3-SimPO-merge",
+    "developer": "grimjim",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
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+    }
+  },
+  "evaluation_results": [
+    {
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+        "source_type": "hf_dataset",
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+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
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+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
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+      }
+    },
+    {
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+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
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+        "min_score": 0.0,
+        "max_score": 1.0
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
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+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/grimjim/Llama-3-Instruct-8B-SPPO-Iter3-SimPO-merge/6b615d1d-7dab-4414-88a2-72fff1b5fce7.json b/data/hfopenllm_v2/grimjim/Llama-3-Instruct-8B-SPPO-Iter3-SimPO-merge/6b615d1d-7dab-4414-88a2-72fff1b5fce7.json
deleted file mode 100644
index 25fc18d08..000000000
--- a/data/hfopenllm_v2/grimjim/Llama-3-Instruct-8B-SPPO-Iter3-SimPO-merge/6b615d1d-7dab-4414-88a2-72fff1b5fce7.json
+++ /dev/null
@@ -1,105 +0,0 @@
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-    "developer": "grimjim",
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-    {
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diff --git a/data/hfopenllm_v2/grimjim/Llama-3-Instruct-8B-SimPO-SPPO-Iter3-merge/251c7560-4672-44a6-82df-2b8ce9a99a5e.json b/data/hfopenllm_v2/grimjim/Llama-3-Instruct-8B-SimPO-SPPO-Iter3-merge/251c7560-4672-44a6-82df-2b8ce9a99a5e.json
deleted file mode 100644
index af0750ae5..000000000
--- a/data/hfopenllm_v2/grimjim/Llama-3-Instruct-8B-SimPO-SPPO-Iter3-merge/251c7560-4672-44a6-82df-2b8ce9a99a5e.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
-    "name": "grimjim/Llama-3-Instruct-8B-SimPO-SPPO-Iter3-merge",
-    "developer": "grimjim",
-    "inference_platform": "unknown",
-    "id": "grimjim/Llama-3-Instruct-8B-SimPO-SPPO-Iter3-merge",
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-      "architecture": "LlamaForCausalLM",
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-    }
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-  "evaluation_results": [
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-      "evaluation_name": "IFEval",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-        "score": 0.5021734091176594
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-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
-        "score": 0.0891238670694864
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2625838926174497
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.38851041666666664
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3684341755319149
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/grimjim/Llama-3-Instruct-8B-SimPO-SPPO-Iter3-merge/fe7a6940-fc4c-4345-84be-609c8155be57.json b/data/hfopenllm_v2/grimjim/Llama-3-Instruct-8B-SimPO-SPPO-Iter3-merge/fe7a6940-fc4c-4345-84be-609c8155be57.json
new file mode 100644
index 000000000..c0a6840ce
--- /dev/null
+++ b/data/hfopenllm_v2/grimjim/Llama-3-Instruct-8B-SimPO-SPPO-Iter3-merge/fe7a6940-fc4c-4345-84be-609c8155be57.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/grimjim_Llama-3-Instruct-8B-SimPO-SPPO-Iter3-merge/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-3-Instruct-8B-SimPO-SPPO-Iter3-merge",
+    "id": "grimjim/Llama-3-Instruct-8B-SimPO-SPPO-Iter3-merge",
+    "developer": "grimjim",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.0
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6806
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5022
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0891
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2626
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3885
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3684
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/grimjim/Llama-3.1-8B-Instruct-abliterated_via_adapter/377105ce-c655-47fe-a565-71a4de8c3683.json b/data/hfopenllm_v2/grimjim/Llama-3.1-8B-Instruct-abliterated_via_adapter/377105ce-c655-47fe-a565-71a4de8c3683.json
deleted file mode 100644
index 65b4f4396..000000000
--- a/data/hfopenllm_v2/grimjim/Llama-3.1-8B-Instruct-abliterated_via_adapter/377105ce-c655-47fe-a565-71a4de8c3683.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/grimjim_Llama-3.1-8B-Instruct-abliterated_via_adapter/1762652580.183267",
-  "retrieved_timestamp": "1762652580.183268",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "grimjim/Llama-3.1-8B-Instruct-abliterated_via_adapter",
-    "developer": "grimjim",
-    "inference_platform": "unknown",
-    "id": "grimjim/Llama-3.1-8B-Instruct-abliterated_via_adapter",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.48695018107510296
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.510526564708187
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.13972809667673716
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.313758389261745
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.40103125
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3651097074468085
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/grimjim/Llama-3.1-8B-Instruct-abliterated_via_adapter/77eb2b0f-e3e3-474c-bb02-dabde2998ef0.json b/data/hfopenllm_v2/grimjim/Llama-3.1-8B-Instruct-abliterated_via_adapter/77eb2b0f-e3e3-474c-bb02-dabde2998ef0.json
new file mode 100644
index 000000000..b33246650
--- /dev/null
+++ b/data/hfopenllm_v2/grimjim/Llama-3.1-8B-Instruct-abliterated_via_adapter/77eb2b0f-e3e3-474c-bb02-dabde2998ef0.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/grimjim_Llama-3.1-8B-Instruct-abliterated_via_adapter/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-3.1-8B-Instruct-abliterated_via_adapter",
+    "id": "grimjim/Llama-3.1-8B-Instruct-abliterated_via_adapter",
+    "developer": "grimjim",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.487
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5105
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1397
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3138
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.401
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3651
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/grimjim/Llama-3.1-Bonsaikraft-8B-Instruct/5f15d683-bae4-4888-8d1c-352aac802fbe.json b/data/hfopenllm_v2/grimjim/Llama-3.1-Bonsaikraft-8B-Instruct/5f15d683-bae4-4888-8d1c-352aac802fbe.json
deleted file mode 100644
index 2fc15968c..000000000
--- a/data/hfopenllm_v2/grimjim/Llama-3.1-Bonsaikraft-8B-Instruct/5f15d683-bae4-4888-8d1c-352aac802fbe.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/grimjim_Llama-3.1-Bonsaikraft-8B-Instruct/1762652580.1834722",
-  "retrieved_timestamp": "1762652580.1834729",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "grimjim/Llama-3.1-Bonsaikraft-8B-Instruct",
-    "developer": "grimjim",
-    "inference_platform": "unknown",
-    "id": "grimjim/Llama-3.1-Bonsaikraft-8B-Instruct",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42500121898784116
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5286855891530357
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.13141993957703926
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3036912751677852
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4235104166666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3764128989361702
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/grimjim/Llama-3.1-Bonsaikraft-8B-Instruct/94d744be-5d28-490a-ba9a-8440cb97dce9.json b/data/hfopenllm_v2/grimjim/Llama-3.1-Bonsaikraft-8B-Instruct/94d744be-5d28-490a-ba9a-8440cb97dce9.json
new file mode 100644
index 000000000..3c3c836ca
--- /dev/null
+++ b/data/hfopenllm_v2/grimjim/Llama-3.1-Bonsaikraft-8B-Instruct/94d744be-5d28-490a-ba9a-8440cb97dce9.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/grimjim_Llama-3.1-Bonsaikraft-8B-Instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-3.1-Bonsaikraft-8B-Instruct",
+    "id": "grimjim/Llama-3.1-Bonsaikraft-8B-Instruct",
+    "developer": "grimjim",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
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diff --git a/data/hfopenllm_v2/grimjim/Llama-Nephilim-Metamorphosis-v2-8B/2765061e-7506-4eb6-b63f-312f6290665a.json b/data/hfopenllm_v2/grimjim/Llama-Nephilim-Metamorphosis-v2-8B/2765061e-7506-4eb6-b63f-312f6290665a.json
new file mode 100644
index 000000000..ee870fb1c
--- /dev/null
+++ b/data/hfopenllm_v2/grimjim/Llama-Nephilim-Metamorphosis-v2-8B/2765061e-7506-4eb6-b63f-312f6290665a.json
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diff --git a/data/hfopenllm_v2/grimjim/Llama3.1-SuperNovaLite-HuatuoSkywork-o1-8B/167c937c-66c7-45a8-bbd9-97d98531bf7d.json b/data/hfopenllm_v2/grimjim/Llama3.1-SuperNovaLite-HuatuoSkywork-o1-8B/167c937c-66c7-45a8-bbd9-97d98531bf7d.json
new file mode 100644
index 000000000..7a0c41480
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/grimjim/Magnolia-v1-Gemma2-8k-9B/9587c35c-1def-46e7-8642-7acb0340be5e.json b/data/hfopenllm_v2/grimjim/Magnolia-v1-Gemma2-8k-9B/9587c35c-1def-46e7-8642-7acb0340be5e.json
new file mode 100644
index 000000000..51f562ec4
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+++ b/data/hfopenllm_v2/grimjim/Magnolia-v1-Gemma2-8k-9B/9587c35c-1def-46e7-8642-7acb0340be5e.json
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/grimjim/Magnolia-v2-12B/1c9594fe-03d6-4ec1-9da5-99960da0dcd4.json b/data/hfopenllm_v2/grimjim/Magnolia-v2-12B/1c9594fe-03d6-4ec1-9da5-99960da0dcd4.json
new file mode 100644
index 000000000..4765d94c9
--- /dev/null
+++ b/data/hfopenllm_v2/grimjim/Magnolia-v2-12B/1c9594fe-03d6-4ec1-9da5-99960da0dcd4.json
@@ -0,0 +1,132 @@
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/grimjim/Magnolia-v2-12B/2cf86f7c-a9a8-48d0-bc10-e8a1f654092c.json b/data/hfopenllm_v2/grimjim/Magnolia-v2-12B/2cf86f7c-a9a8-48d0-bc10-e8a1f654092c.json
deleted file mode 100644
index 3532b594d..000000000
--- a/data/hfopenllm_v2/grimjim/Magnolia-v2-12B/2cf86f7c-a9a8-48d0-bc10-e8a1f654092c.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/grimjim_Magnolia-v2-12B/1762652580.184318",
-  "retrieved_timestamp": "1762652580.184319",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "grimjim/Magnolia-v2-12B",
-    "developer": "grimjim",
-    "inference_platform": "unknown",
-    "id": "grimjim/Magnolia-v2-12B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 12.248
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3506119318962575
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5290279354217235
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.12915407854984895
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3187919463087248
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41712499999999997
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3601230053191489
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/grimjim/Magnolia-v2-Gemma2-8k-9B/8ed2c4eb-bc72-4dde-a559-1afd1698d37d.json b/data/hfopenllm_v2/grimjim/Magnolia-v2-Gemma2-8k-9B/8ed2c4eb-bc72-4dde-a559-1afd1698d37d.json
new file mode 100644
index 000000000..3274bce78
--- /dev/null
+++ b/data/hfopenllm_v2/grimjim/Magnolia-v2-Gemma2-8k-9B/8ed2c4eb-bc72-4dde-a559-1afd1698d37d.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/grimjim_Magnolia-v2-Gemma2-8k-9B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Magnolia-v2-Gemma2-8k-9B",
+    "id": "grimjim/Magnolia-v2-Gemma2-8k-9B",
+    "developer": "grimjim",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Gemma2ForCausalLM",
+      "params_billions": 9.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7384
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6016
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2281
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3574
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4488
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4332
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/grimjim/Magnolia-v3-12B/68faa5a3-82ae-462d-adad-505134024710.json b/data/hfopenllm_v2/grimjim/Magnolia-v3-12B/68faa5a3-82ae-462d-adad-505134024710.json
deleted file mode 100644
index 31dbaec6e..000000000
--- a/data/hfopenllm_v2/grimjim/Magnolia-v3-12B/68faa5a3-82ae-462d-adad-505134024710.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/grimjim_Magnolia-v3-12B/1762652580.184813",
-  "retrieved_timestamp": "1762652580.184814",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "grimjim/Magnolia-v3-12B",
-    "developer": "grimjim",
-    "inference_platform": "unknown",
-    "id": "grimjim/Magnolia-v3-12B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 12.248
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.39649906692021614
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5326669270363916
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1351963746223565
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.32550335570469796
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4183958333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3615359042553192
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/grimjim/Magnolia-v3-12B/a2f9536a-9266-4aee-be90-d04f4dcbe53c.json b/data/hfopenllm_v2/grimjim/Magnolia-v3-12B/a2f9536a-9266-4aee-be90-d04f4dcbe53c.json
new file mode 100644
index 000000000..0565ceb88
--- /dev/null
+++ b/data/hfopenllm_v2/grimjim/Magnolia-v3-12B/a2f9536a-9266-4aee-be90-d04f4dcbe53c.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/grimjim_Magnolia-v3-12B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Magnolia-v3-12B",
+    "id": "grimjim/Magnolia-v3-12B",
+    "developer": "grimjim",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 12.248
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3965
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5327
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1352
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3255
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4184
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3615
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/grimjim/Magnolia-v3-Gemma2-8k-9B/7f116aaa-3880-4e53-948a-4b06e0d26cff.json b/data/hfopenllm_v2/grimjim/Magnolia-v3-Gemma2-8k-9B/7f116aaa-3880-4e53-948a-4b06e0d26cff.json
new file mode 100644
index 000000000..5518b4113
--- /dev/null
+++ b/data/hfopenllm_v2/grimjim/Magnolia-v3-Gemma2-8k-9B/7f116aaa-3880-4e53-948a-4b06e0d26cff.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/grimjim_Magnolia-v3-Gemma2-8k-9B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Magnolia-v3-Gemma2-8k-9B",
+    "id": "grimjim/Magnolia-v3-Gemma2-8k-9B",
+    "developer": "grimjim",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Gemma2ForCausalLM",
+      "params_billions": 9.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7378
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6015
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2319
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3565
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4488
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4337
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/grimjim/Magnolia-v4-12B/7cbe4516-2be2-421b-95f4-c9500ad64ca5.json b/data/hfopenllm_v2/grimjim/Magnolia-v4-12B/7cbe4516-2be2-421b-95f4-c9500ad64ca5.json
new file mode 100644
index 000000000..53c5ccbfc
--- /dev/null
+++ b/data/hfopenllm_v2/grimjim/Magnolia-v4-12B/7cbe4516-2be2-421b-95f4-c9500ad64ca5.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/grimjim_Magnolia-v4-12B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Magnolia-v4-12B",
+    "id": "grimjim/Magnolia-v4-12B",
+    "developer": "grimjim",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 12.248
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3418
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5431
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1314
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.328
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4211
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3672
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/grimjim/Magnolia-v4-12B/a48116ed-d4bf-4f06-94aa-2ef8364bd8d2.json b/data/hfopenllm_v2/grimjim/Magnolia-v4-12B/a48116ed-d4bf-4f06-94aa-2ef8364bd8d2.json
deleted file mode 100644
index baa4dc02c..000000000
--- a/data/hfopenllm_v2/grimjim/Magnolia-v4-12B/a48116ed-d4bf-4f06-94aa-2ef8364bd8d2.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/grimjim_Magnolia-v4-12B/1762652580.18525",
-  "retrieved_timestamp": "1762652580.185251",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "grimjim/Magnolia-v4-12B",
-    "developer": "grimjim",
-    "inference_platform": "unknown",
-    "id": "grimjim/Magnolia-v4-12B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 12.248
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.34179421712168156
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5430894084668724
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.13141993957703926
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.32802013422818793
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42112499999999997
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3671875
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/grimjim/Magnolia-v5a-12B/07df565a-bc30-4a9d-b472-7a85f35938be.json b/data/hfopenllm_v2/grimjim/Magnolia-v5a-12B/07df565a-bc30-4a9d-b472-7a85f35938be.json
new file mode 100644
index 000000000..edba3c4ff
--- /dev/null
+++ b/data/hfopenllm_v2/grimjim/Magnolia-v5a-12B/07df565a-bc30-4a9d-b472-7a85f35938be.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/grimjim_Magnolia-v5a-12B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Magnolia-v5a-12B",
+    "id": "grimjim/Magnolia-v5a-12B",
+    "developer": "grimjim",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 12.248
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4114
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5312
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1375
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3221
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4145
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3601
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/grimjim/Magnolia-v5a-12B/ff64dcc7-9646-4c53-8b1e-68b62a025574.json b/data/hfopenllm_v2/grimjim/Magnolia-v5a-12B/ff64dcc7-9646-4c53-8b1e-68b62a025574.json
deleted file mode 100644
index e3b149b70..000000000
--- a/data/hfopenllm_v2/grimjim/Magnolia-v5a-12B/ff64dcc7-9646-4c53-8b1e-68b62a025574.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/grimjim_Magnolia-v5a-12B/1762652580.185457",
-  "retrieved_timestamp": "1762652580.185458",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "grimjim/Magnolia-v5a-12B",
-    "developer": "grimjim",
-    "inference_platform": "unknown",
-    "id": "grimjim/Magnolia-v5a-12B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 12.248
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41136185321613317
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5311764105029141
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.13746223564954682
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3221476510067114
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4144895833333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3601230053191489
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/grimjim/Magot-v1-Gemma2-8k-9B/7545f7db-10bb-4d97-9b3f-4346f4f26bad.json b/data/hfopenllm_v2/grimjim/Magot-v1-Gemma2-8k-9B/7545f7db-10bb-4d97-9b3f-4346f4f26bad.json
new file mode 100644
index 000000000..e97c90ea3
--- /dev/null
+++ b/data/hfopenllm_v2/grimjim/Magot-v1-Gemma2-8k-9B/7545f7db-10bb-4d97-9b3f-4346f4f26bad.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/grimjim_Magot-v1-Gemma2-8k-9B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Magot-v1-Gemma2-8k-9B",
+    "id": "grimjim/Magot-v1-Gemma2-8k-9B",
+    "developer": "grimjim",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Gemma2ForCausalLM",
+      "params_billions": 9.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2997
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6019
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0989
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3465
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4488
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4337
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/grimjim/Magot-v2-Gemma2-8k-9B/47384f10-ac6a-4629-92db-86f01a441f7f.json b/data/hfopenllm_v2/grimjim/Magot-v2-Gemma2-8k-9B/47384f10-ac6a-4629-92db-86f01a441f7f.json
new file mode 100644
index 000000000..f21dbc7f0
--- /dev/null
+++ b/data/hfopenllm_v2/grimjim/Magot-v2-Gemma2-8k-9B/47384f10-ac6a-4629-92db-86f01a441f7f.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/grimjim_Magot-v2-Gemma2-8k-9B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
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diff --git a/data/hfopenllm_v2/grimjim/SauerHuatuoSkywork-o1-Llama-3.1-8B/3c9f022f-3e2b-48d6-acb9-07f066cfceb6.json b/data/hfopenllm_v2/grimjim/SauerHuatuoSkywork-o1-Llama-3.1-8B/3c9f022f-3e2b-48d6-acb9-07f066cfceb6.json
new file mode 100644
index 000000000..8620f2a75
--- /dev/null
+++ b/data/hfopenllm_v2/grimjim/SauerHuatuoSkywork-o1-Llama-3.1-8B/3c9f022f-3e2b-48d6-acb9-07f066cfceb6.json
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diff --git a/data/hfopenllm_v2/grimjim/llama-3-Nephilim-v1-8B/1d851cfb-8624-4516-8204-85569c60dc67.json b/data/hfopenllm_v2/grimjim/llama-3-Nephilim-v1-8B/1d851cfb-8624-4516-8204-85569c60dc67.json
new file mode 100644
index 000000000..a154af168
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/grimjim/llama-3-Nephilim-v2-8B/a7990990-7498-4b74-a0aa-9c266910698e.json b/data/hfopenllm_v2/grimjim/llama-3-Nephilim-v2-8B/a7990990-7498-4b74-a0aa-9c266910698e.json
new file mode 100644
index 000000000..961e8d5ae
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/grimjim/llama-3-Nephilim-v2.1-8B/0b41d37e-0728-4575-9662-c150e2e29bd0.json b/data/hfopenllm_v2/grimjim/llama-3-Nephilim-v2.1-8B/0b41d37e-0728-4575-9662-c150e2e29bd0.json
new file mode 100644
index 000000000..2e431db78
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+        "source_type": "hf_dataset",
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/grimjim/llama-3-Nephilim-v3-8B/c565a7e9-bd1b-41a5-bff3-3a349553f4e8.json b/data/hfopenllm_v2/grimjim/llama-3-Nephilim-v3-8B/c565a7e9-bd1b-41a5-bff3-3a349553f4e8.json
new file mode 100644
index 000000000..123748d61
--- /dev/null
+++ b/data/hfopenllm_v2/grimjim/llama-3-Nephilim-v3-8B/c565a7e9-bd1b-41a5-bff3-3a349553f4e8.json
@@ -0,0 +1,132 @@
+{
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+  "source_metadata": {
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+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "llama-3-Nephilim-v3-8B",
+    "id": "grimjim/llama-3-Nephilim-v3-8B",
+    "developer": "grimjim",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
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+      },
+      "metric_config": {
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+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+      }
+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
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+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
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+        "evaluation_description": "Accuracy on MMLU-PRO",
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+        "max_score": 1.0
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+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/gupta-tanish/llama-7b-dpo-baseline/1b962cb9-8754-40ab-b41a-b7cdf1fa3de1.json b/data/hfopenllm_v2/gupta-tanish/llama-7b-dpo-baseline/1b962cb9-8754-40ab-b41a-b7cdf1fa3de1.json
deleted file mode 100644
index cd7bf69b3..000000000
--- a/data/hfopenllm_v2/gupta-tanish/llama-7b-dpo-baseline/1b962cb9-8754-40ab-b41a-b7cdf1fa3de1.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "gupta-tanish/llama-7b-dpo-baseline",
-    "developer": "gupta-tanish",
-    "inference_platform": "unknown",
-    "id": "gupta-tanish/llama-7b-dpo-baseline",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 6.738
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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diff --git a/data/hfopenllm_v2/gupta-tanish/llama-7b-dpo-baseline/680a4507-755e-4014-877b-6032f0220270.json b/data/hfopenllm_v2/gupta-tanish/llama-7b-dpo-baseline/680a4507-755e-4014-877b-6032f0220270.json
new file mode 100644
index 000000000..888dfc69c
--- /dev/null
+++ b/data/hfopenllm_v2/gupta-tanish/llama-7b-dpo-baseline/680a4507-755e-4014-877b-6032f0220270.json
@@ -0,0 +1,132 @@
+{
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+  "evaluation_id": "hfopenllm_v2/gupta-tanish_llama-7b-dpo-baseline/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "llama-7b-dpo-baseline",
+    "id": "gupta-tanish/llama-7b-dpo-baseline",
+    "developer": "gupta-tanish",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 6.738
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
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+        "source_type": "hf_dataset",
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+      },
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+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+      }
+    },
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+      }
+    },
+    {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
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+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+      "score_details": {
+        "score": 0.4456
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+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2028
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/gz987/qwen2.5-7b-cabs-v0.1/5ace8dc6-e348-4267-bb4a-f71a335d074e.json b/data/hfopenllm_v2/gz987/qwen2.5-7b-cabs-v0.1/5ace8dc6-e348-4267-bb4a-f71a335d074e.json
new file mode 100644
index 000000000..711f9349b
--- /dev/null
+++ b/data/hfopenllm_v2/gz987/qwen2.5-7b-cabs-v0.1/5ace8dc6-e348-4267-bb4a-f71a335d074e.json
@@ -0,0 +1,132 @@
+{
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+  "evaluation_id": "hfopenllm_v2/gz987_qwen2.5-7b-cabs-v0.1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "qwen2.5-7b-cabs-v0.1",
+    "id": "gz987/qwen2.5-7b-cabs-v0.1",
+    "developer": "gz987",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
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+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
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+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7506
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5482
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+    },
+    {
+      "evaluation_name": "GPQA",
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+    },
+    {
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+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
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+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/gz987/qwen2.5-7b-cabs-v0.2/07549821-db51-4b77-980a-056131b5dd29.json b/data/hfopenllm_v2/gz987/qwen2.5-7b-cabs-v0.2/07549821-db51-4b77-980a-056131b5dd29.json
new file mode 100644
index 000000000..3ae09bf09
--- /dev/null
+++ b/data/hfopenllm_v2/gz987/qwen2.5-7b-cabs-v0.2/07549821-db51-4b77-980a-056131b5dd29.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/gz987_qwen2.5-7b-cabs-v0.2/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "qwen2.5-7b-cabs-v0.2",
+    "id": "gz987/qwen2.5-7b-cabs-v0.2",
+    "developer": "gz987",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7418
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5516
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "max_score": 1.0
+      },
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+    {
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4429
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/gz987/qwen2.5-7b-cabs-v0.3/ff12a0a1-a913-441b-955c-bcbd50056acf.json b/data/hfopenllm_v2/gz987/qwen2.5-7b-cabs-v0.3/ff12a0a1-a913-441b-955c-bcbd50056acf.json
new file mode 100644
index 000000000..9b5948568
--- /dev/null
+++ b/data/hfopenllm_v2/gz987/qwen2.5-7b-cabs-v0.3/ff12a0a1-a913-441b-955c-bcbd50056acf.json
@@ -0,0 +1,132 @@
+{
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+  "evaluation_id": "hfopenllm_v2/gz987_qwen2.5-7b-cabs-v0.3/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "qwen2.5-7b-cabs-v0.3",
+    "id": "gz987/qwen2.5-7b-cabs-v0.3",
+    "developer": "gz987",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.757
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5494
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "max_score": 1.0
+      },
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+      }
+    },
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.443
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4402
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/gz987/qwen2.5-7b-cabs-v0.4/947cfc2b-b73c-40eb-9e57-be5278776711.json b/data/hfopenllm_v2/gz987/qwen2.5-7b-cabs-v0.4/947cfc2b-b73c-40eb-9e57-be5278776711.json
new file mode 100644
index 000000000..bc502245a
--- /dev/null
+++ b/data/hfopenllm_v2/gz987/qwen2.5-7b-cabs-v0.4/947cfc2b-b73c-40eb-9e57-be5278776711.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/gz987_qwen2.5-7b-cabs-v0.4/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "qwen2.5-7b-cabs-v0.4",
+    "id": "gz987/qwen2.5-7b-cabs-v0.4",
+    "developer": "gz987",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7583
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5524
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3079
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.443
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4396
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/h2oai/h2o-danube-1.8b-chat/53639078-c50a-4147-bab0-16993f1790b6.json b/data/hfopenllm_v2/h2oai/h2o-danube-1.8b-chat/53639078-c50a-4147-bab0-16993f1790b6.json
new file mode 100644
index 000000000..47446d221
--- /dev/null
+++ b/data/hfopenllm_v2/h2oai/h2o-danube-1.8b-chat/53639078-c50a-4147-bab0-16993f1790b6.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/h2oai_h2o-danube-1.8b-chat/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "h2o-danube-1.8b-chat",
+    "id": "h2oai/h2o-danube-1.8b-chat",
+    "developer": "h2oai",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 1.831
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2199
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.322
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0136
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2542
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3989
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1314
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/h2oai/h2o-danube-1.8b-chat/ac8f78b5-a9e1-4e17-a1e7-8a7b8dc22a8d.json b/data/hfopenllm_v2/h2oai/h2o-danube-1.8b-chat/ac8f78b5-a9e1-4e17-a1e7-8a7b8dc22a8d.json
deleted file mode 100644
index d6f513855..000000000
--- a/data/hfopenllm_v2/h2oai/h2o-danube-1.8b-chat/ac8f78b5-a9e1-4e17-a1e7-8a7b8dc22a8d.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/h2oai_h2o-danube-1.8b-chat/1762652580.188648",
-  "retrieved_timestamp": "1762652580.188649",
-  "source_data": [
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-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "h2oai/h2o-danube-1.8b-chat",
-    "developer": "h2oai",
-    "inference_platform": "unknown",
-    "id": "h2oai/h2o-danube-1.8b-chat",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 1.831
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-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-    {
-      "evaluation_name": "BBH",
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-        "evaluation_description": "Accuracy on BBH",
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-        "score_type": "continuous",
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-        "max_score": 1
-      },
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-    {
-      "evaluation_name": "MATH Level 5",
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-        "score_type": "continuous",
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-      },
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-    {
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-      "metric_config": {
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-        "max_score": 1
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-      "score_details": {
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-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-}
diff --git a/data/hfopenllm_v2/h2oai/h2o-danube3-4b-base/3878bb0d-753f-465a-a8c1-8408f8f5bfcf.json b/data/hfopenllm_v2/h2oai/h2o-danube3-4b-base/3878bb0d-753f-465a-a8c1-8408f8f5bfcf.json
deleted file mode 100644
index 1d6d5206b..000000000
--- a/data/hfopenllm_v2/h2oai/h2o-danube3-4b-base/3878bb0d-753f-465a-a8c1-8408f8f5bfcf.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/h2oai_h2o-danube3-4b-base/1762652580.18891",
-  "retrieved_timestamp": "1762652580.1889112",
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-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
-    "name": "h2oai/h2o-danube3-4b-base",
-    "developer": "h2oai",
-    "inference_platform": "unknown",
-    "id": "h2oai/h2o-danube3-4b-base",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 3.962
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-  "evaluation_results": [
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-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37781250000000005
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2109375
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/h2oai/h2o-danube3-4b-base/b2cf96e0-382e-4200-a4a4-d66e8a188878.json b/data/hfopenllm_v2/h2oai/h2o-danube3-4b-base/b2cf96e0-382e-4200-a4a4-d66e8a188878.json
new file mode 100644
index 000000000..0acd0b4f9
--- /dev/null
+++ b/data/hfopenllm_v2/h2oai/h2o-danube3-4b-base/b2cf96e0-382e-4200-a4a4-d66e8a188878.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/h2oai_h2o-danube3-4b-base/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "h2o-danube3-4b-base",
+    "id": "h2oai/h2o-danube3-4b-base",
+    "developer": "h2oai",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 3.962
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2338
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3599
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0227
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2911
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3778
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2109
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/h2oai/h2o-danube3-4b-chat/d3df3cb7-5e79-49e5-9ed1-1e2771318915.json b/data/hfopenllm_v2/h2oai/h2o-danube3-4b-chat/d3df3cb7-5e79-49e5-9ed1-1e2771318915.json
deleted file mode 100644
index 1f7c2cc73..000000000
--- a/data/hfopenllm_v2/h2oai/h2o-danube3-4b-chat/d3df3cb7-5e79-49e5-9ed1-1e2771318915.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/h2oai_h2o-danube3-4b-chat/1762652580.1891232",
-  "retrieved_timestamp": "1762652580.189124",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "h2oai/h2o-danube3-4b-chat",
-    "developer": "h2oai",
-    "inference_platform": "unknown",
-    "id": "h2oai/h2o-danube3-4b-chat",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 3.962
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3628771659197596
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3466170643135169
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.04078549848942598
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2600671140939597
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.378125
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.22282247340425532
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/h2oai/h2o-danube3-4b-chat/d4ed3eb6-f569-4d4b-8da5-50eaaf824128.json b/data/hfopenllm_v2/h2oai/h2o-danube3-4b-chat/d4ed3eb6-f569-4d4b-8da5-50eaaf824128.json
new file mode 100644
index 000000000..c17f6d915
--- /dev/null
+++ b/data/hfopenllm_v2/h2oai/h2o-danube3-4b-chat/d4ed3eb6-f569-4d4b-8da5-50eaaf824128.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/h2oai_h2o-danube3-4b-chat/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "h2o-danube3-4b-chat",
+    "id": "h2oai/h2o-danube3-4b-chat",
+    "developer": "h2oai",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 3.962
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3629
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3466
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0408
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2601
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3781
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2228
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/h2oai/h2o-danube3-500m-chat/210f7063-e0d9-424d-94f4-3645e4e1b401.json b/data/hfopenllm_v2/h2oai/h2o-danube3-500m-chat/210f7063-e0d9-424d-94f4-3645e4e1b401.json
new file mode 100644
index 000000000..fd3e0551c
--- /dev/null
+++ b/data/hfopenllm_v2/h2oai/h2o-danube3-500m-chat/210f7063-e0d9-424d-94f4-3645e4e1b401.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/h2oai_h2o-danube3-500m-chat/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "h2o-danube3-500m-chat",
+    "id": "h2oai/h2o-danube3-500m-chat",
+    "developer": "h2oai",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 0.514
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2208
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3035
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0166
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2307
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3434
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1144
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/h2oai/h2o-danube3-500m-chat/c917765b-a4b4-4e5d-9c11-eed791349daf.json b/data/hfopenllm_v2/h2oai/h2o-danube3-500m-chat/c917765b-a4b4-4e5d-9c11-eed791349daf.json
deleted file mode 100644
index 2934d5ad5..000000000
--- a/data/hfopenllm_v2/h2oai/h2o-danube3-500m-chat/c917765b-a4b4-4e5d-9c11-eed791349daf.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/h2oai_h2o-danube3-500m-chat/1762652580.1893299",
-  "retrieved_timestamp": "1762652580.1893299",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "h2oai/h2o-danube3-500m-chat",
-    "developer": "h2oai",
-    "inference_platform": "unknown",
-    "id": "h2oai/h2o-danube3-500m-chat",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 0.514
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2207941594968018
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3034691168308313
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.01661631419939577
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.23070469798657717
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.34339583333333334
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11436170212765957
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/h2oai/h2o-danube3.1-4b-chat/4ecd26d8-8416-4dba-8d53-96f4013cfef0.json b/data/hfopenllm_v2/h2oai/h2o-danube3.1-4b-chat/4ecd26d8-8416-4dba-8d53-96f4013cfef0.json
new file mode 100644
index 000000000..6f2847856
--- /dev/null
+++ b/data/hfopenllm_v2/h2oai/h2o-danube3.1-4b-chat/4ecd26d8-8416-4dba-8d53-96f4013cfef0.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/h2oai_h2o-danube3.1-4b-chat/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "h2o-danube3.1-4b-chat",
+    "id": "h2oai/h2o-danube3.1-4b-chat",
+    "developer": "h2oai",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 3.962
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5021
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3608
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0332
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2852
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4102
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2719
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/h2oai/h2o-danube3.1-4b-chat/5f5d83bd-91e9-416b-b40d-506f3861ed3f.json b/data/hfopenllm_v2/h2oai/h2o-danube3.1-4b-chat/5f5d83bd-91e9-416b-b40d-506f3861ed3f.json
deleted file mode 100644
index c7b795bb8..000000000
--- a/data/hfopenllm_v2/h2oai/h2o-danube3.1-4b-chat/5f5d83bd-91e9-416b-b40d-506f3861ed3f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/h2oai_h2o-danube3.1-4b-chat/1762652580.189556",
-  "retrieved_timestamp": "1762652580.189557",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "h2oai/h2o-danube3.1-4b-chat",
-    "developer": "h2oai",
-    "inference_platform": "unknown",
-    "id": "h2oai/h2o-danube3.1-4b-chat",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 3.962
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5021121734774842
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3608421638178268
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.03323262839879154
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.28523489932885904
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41015625
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2718583776595745
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/haoranxu/ALMA-13B-R/15712b7d-e69f-4a4f-b13c-4e79ce859399.json b/data/hfopenllm_v2/haoranxu/ALMA-13B-R/15712b7d-e69f-4a4f-b13c-4e79ce859399.json
new file mode 100644
index 000000000..b4507647e
--- /dev/null
+++ b/data/hfopenllm_v2/haoranxu/ALMA-13B-R/15712b7d-e69f-4a4f-b13c-4e79ce859399.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/haoranxu_ALMA-13B-R/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "ALMA-13B-R",
+    "id": "haoranxu/ALMA-13B-R",
+    "developer": "haoranxu",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "?",
+      "params_billions": 13.0
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0039
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3457
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0174
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2576
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3528
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1817
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/haoranxu/ALMA-13B-R/9446f216-e3d6-4fca-ae00-937b4a76e5bf.json b/data/hfopenllm_v2/haoranxu/ALMA-13B-R/9446f216-e3d6-4fca-ae00-937b4a76e5bf.json
deleted file mode 100644
index 6f047d61d..000000000
--- a/data/hfopenllm_v2/haoranxu/ALMA-13B-R/9446f216-e3d6-4fca-ae00-937b4a76e5bf.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/haoranxu_ALMA-13B-R/1762652580.189782",
-  "retrieved_timestamp": "1762652580.189783",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "haoranxu/ALMA-13B-R",
-    "developer": "haoranxu",
-    "inference_platform": "unknown",
-    "id": "haoranxu/ALMA-13B-R",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "?",
-      "params_billions": 13.0
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.003921816336210145
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.345656261205981
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.017371601208459216
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2575503355704698
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.35279166666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.18168218085106383
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/haoranxu/Llama-3-Instruct-8B-CPO-SimPO/9148c375-7c08-4c1c-82ed-5f935b2a4f04.json b/data/hfopenllm_v2/haoranxu/Llama-3-Instruct-8B-CPO-SimPO/9148c375-7c08-4c1c-82ed-5f935b2a4f04.json
new file mode 100644
index 000000000..e8754a2a8
--- /dev/null
+++ b/data/hfopenllm_v2/haoranxu/Llama-3-Instruct-8B-CPO-SimPO/9148c375-7c08-4c1c-82ed-5f935b2a4f04.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/haoranxu_Llama-3-Instruct-8B-CPO-SimPO/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-3-Instruct-8B-CPO-SimPO",
+    "id": "haoranxu/Llama-3-Instruct-8B-CPO-SimPO",
+    "developer": "haoranxu",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7046
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5048
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1027
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2928
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3567
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3686
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/haoranxu/Llama-3-Instruct-8B-CPO-SimPO/aa67ad0b-e469-4b49-a797-4542370a2e94.json b/data/hfopenllm_v2/haoranxu/Llama-3-Instruct-8B-CPO-SimPO/aa67ad0b-e469-4b49-a797-4542370a2e94.json
deleted file mode 100644
index 1f5faddc7..000000000
--- a/data/hfopenllm_v2/haoranxu/Llama-3-Instruct-8B-CPO-SimPO/aa67ad0b-e469-4b49-a797-4542370a2e94.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/haoranxu_Llama-3-Instruct-8B-CPO-SimPO/1762652580.190052",
-  "retrieved_timestamp": "1762652580.190052",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "haoranxu/Llama-3-Instruct-8B-CPO-SimPO",
-    "developer": "haoranxu",
-    "inference_platform": "unknown",
-    "id": "haoranxu/Llama-3-Instruct-8B-CPO-SimPO",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7046447869430887
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5048301774821616
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1027190332326284
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.29278523489932884
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3566666666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3686003989361702
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/haoranxu/Llama-3-Instruct-8B-SimPO/39aa4e41-376f-4ee6-8925-8bf746a871a0.json b/data/hfopenllm_v2/haoranxu/Llama-3-Instruct-8B-SimPO/39aa4e41-376f-4ee6-8925-8bf746a871a0.json
deleted file mode 100644
index 4ad4247e0..000000000
--- a/data/hfopenllm_v2/haoranxu/Llama-3-Instruct-8B-SimPO/39aa4e41-376f-4ee6-8925-8bf746a871a0.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/haoranxu_Llama-3-Instruct-8B-SimPO/1762652580.190277",
-  "retrieved_timestamp": "1762652580.1902778",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "haoranxu/Llama-3-Instruct-8B-SimPO",
-    "developer": "haoranxu",
-    "inference_platform": "unknown",
-    "id": "haoranxu/Llama-3-Instruct-8B-SimPO",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7347449212533854
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.49792360151415016
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.08761329305135952
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2902684563758389
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.35660416666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37333776595744683
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/haoranxu/Llama-3-Instruct-8B-SimPO/fb93274b-b7d8-483a-a95d-96340535febc.json b/data/hfopenllm_v2/haoranxu/Llama-3-Instruct-8B-SimPO/fb93274b-b7d8-483a-a95d-96340535febc.json
new file mode 100644
index 000000000..e99c8aeb7
--- /dev/null
+++ b/data/hfopenllm_v2/haoranxu/Llama-3-Instruct-8B-SimPO/fb93274b-b7d8-483a-a95d-96340535febc.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/haoranxu_Llama-3-Instruct-8B-SimPO/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-3-Instruct-8B-SimPO",
+    "id": "haoranxu/Llama-3-Instruct-8B-SimPO",
+    "developer": "haoranxu",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7347
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4979
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0876
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2903
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3566
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3733
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/hatemmahmoud/qwen2.5-1.5b-sft-raft-grpo-hra-doc/0818b755-ec49-457c-8635-73f01816f30b.json b/data/hfopenllm_v2/hatemmahmoud/qwen2.5-1.5b-sft-raft-grpo-hra-doc/0818b755-ec49-457c-8635-73f01816f30b.json
new file mode 100644
index 000000000..86fc861f4
--- /dev/null
+++ b/data/hfopenllm_v2/hatemmahmoud/qwen2.5-1.5b-sft-raft-grpo-hra-doc/0818b755-ec49-457c-8635-73f01816f30b.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/hatemmahmoud_qwen2.5-1.5b-sft-raft-grpo-hra-doc/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "qwen2.5-1.5b-sft-raft-grpo-hra-doc",
+    "id": "hatemmahmoud/qwen2.5-1.5b-sft-raft-grpo-hra-doc",
+    "developer": "hatemmahmoud",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 1.544
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4196
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.427
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2175
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2676
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.361
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2776
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/hatemmahmoud/qwen2.5-1.5b-sft-raft-grpo-hra-doc/7d3c185f-4b4f-4bdd-bac9-f4ba2410f40c.json b/data/hfopenllm_v2/hatemmahmoud/qwen2.5-1.5b-sft-raft-grpo-hra-doc/7d3c185f-4b4f-4bdd-bac9-f4ba2410f40c.json
deleted file mode 100644
index 40de2d7db..000000000
--- a/data/hfopenllm_v2/hatemmahmoud/qwen2.5-1.5b-sft-raft-grpo-hra-doc/7d3c185f-4b4f-4bdd-bac9-f4ba2410f40c.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/hatemmahmoud_qwen2.5-1.5b-sft-raft-grpo-hra-doc/1762652580.190489",
-  "retrieved_timestamp": "1762652580.190489",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "hatemmahmoud/qwen2.5-1.5b-sft-raft-grpo-hra-doc",
-    "developer": "hatemmahmoud",
-    "inference_platform": "unknown",
-    "id": "hatemmahmoud/qwen2.5-1.5b-sft-raft-grpo-hra-doc",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 1.544
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41958004760701606
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4269926809768501
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2175226586102719
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2676174496644295
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.36097916666666663
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.277593085106383
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/hon9kon9ize/CantoneseLLMChat-v0.5/6e87be06-ca0e-48a4-ae28-4a5794600117.json b/data/hfopenllm_v2/hon9kon9ize/CantoneseLLMChat-v0.5/6e87be06-ca0e-48a4-ae28-4a5794600117.json
deleted file mode 100644
index acd185f5b..000000000
--- a/data/hfopenllm_v2/hon9kon9ize/CantoneseLLMChat-v0.5/6e87be06-ca0e-48a4-ae28-4a5794600117.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/hon9kon9ize_CantoneseLLMChat-v0.5/1762652580.190754",
-  "retrieved_timestamp": "1762652580.1907551",
-  "source_data": [
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-        "lower_is_better": false,
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-        "max_score": 1
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-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-        "score": 0.2504155585106383
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/hon9kon9ize/CantoneseLLMChat-v0.5/77962326-0160-49bd-9ef1-59b403b2bfce.json b/data/hfopenllm_v2/hon9kon9ize/CantoneseLLMChat-v0.5/77962326-0160-49bd-9ef1-59b403b2bfce.json
new file mode 100644
index 000000000..4312be247
--- /dev/null
+++ b/data/hfopenllm_v2/hon9kon9ize/CantoneseLLMChat-v0.5/77962326-0160-49bd-9ef1-59b403b2bfce.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/hon9kon9ize_CantoneseLLMChat-v0.5/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "CantoneseLLMChat-v0.5",
+    "id": "hon9kon9ize/CantoneseLLMChat-v0.5",
+    "developer": "hon9kon9ize",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 6.069
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3231
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4345
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0415
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2777
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4706
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2504
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/hon9kon9ize/CantoneseLLMChat-v1.0-7B/272abbe5-8b61-442f-9860-d7411e7fec99.json b/data/hfopenllm_v2/hon9kon9ize/CantoneseLLMChat-v1.0-7B/272abbe5-8b61-442f-9860-d7411e7fec99.json
new file mode 100644
index 000000000..265d4e3f0
--- /dev/null
+++ b/data/hfopenllm_v2/hon9kon9ize/CantoneseLLMChat-v1.0-7B/272abbe5-8b61-442f-9860-d7411e7fec99.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/hon9kon9ize_CantoneseLLMChat-v1.0-7B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "CantoneseLLMChat-v1.0-7B",
+    "id": "hon9kon9ize/CantoneseLLMChat-v1.0-7B",
+    "developer": "hon9kon9ize",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4455
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4866
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2107
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3221
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3883
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3785
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/hon9kon9ize/CantoneseLLMChat-v1.0-7B/cccf983e-e1b8-4f0f-b147-abccdea65548.json b/data/hfopenllm_v2/hon9kon9ize/CantoneseLLMChat-v1.0-7B/cccf983e-e1b8-4f0f-b147-abccdea65548.json
deleted file mode 100644
index 76e02c1ee..000000000
--- a/data/hfopenllm_v2/hon9kon9ize/CantoneseLLMChat-v1.0-7B/cccf983e-e1b8-4f0f-b147-abccdea65548.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/hon9kon9ize_CantoneseLLMChat-v1.0-7B/1762652580.191013",
-  "retrieved_timestamp": "1762652580.191013",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "hon9kon9ize/CantoneseLLMChat-v1.0-7B",
-    "developer": "hon9kon9ize",
-    "inference_platform": "unknown",
-    "id": "hon9kon9ize/CantoneseLLMChat-v1.0-7B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.616
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.44548353923146145
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4865734655539633
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2107250755287009
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3221476510067114
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3882916666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3784906914893617
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/hongbai12/li-0.4-pre/14d617a8-18c6-40a7-a4ba-19cf5fc5f4e3.json b/data/hfopenllm_v2/hongbai12/li-0.4-pre/14d617a8-18c6-40a7-a4ba-19cf5fc5f4e3.json
new file mode 100644
index 000000000..c385d6d79
--- /dev/null
+++ b/data/hfopenllm_v2/hongbai12/li-0.4-pre/14d617a8-18c6-40a7-a4ba-19cf5fc5f4e3.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/hongbai12_li-0.4-pre/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "li-0.4-pre",
+    "id": "hongbai12/li-0.4-pre",
+    "developer": "hongbai12",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.77
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.52
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6298
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4924
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.323
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4513
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5015
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/hongbai12/li-0.4-pre/ab7dcb4c-3884-428f-b342-38034dd51b56.json b/data/hfopenllm_v2/hongbai12/li-0.4-pre/ab7dcb4c-3884-428f-b342-38034dd51b56.json
deleted file mode 100644
index 5045977f5..000000000
--- a/data/hfopenllm_v2/hongbai12/li-0.4-pre/ab7dcb4c-3884-428f-b342-38034dd51b56.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/hongbai12_li-0.4-pre/1762652580.191224",
-  "retrieved_timestamp": "1762652580.191225",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "hongbai12/li-0.4-pre",
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-        "score_type": "continuous",
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-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5014960106382979
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/hotmailuser/Deepseek-qwen-modelstock-2B/ef7b5e6d-b5b7-4c7b-9781-6f90eb1ff5dd.json b/data/hfopenllm_v2/hotmailuser/Deepseek-qwen-modelstock-2B/ef7b5e6d-b5b7-4c7b-9781-6f90eb1ff5dd.json
new file mode 100644
index 000000000..2ecbdfd24
--- /dev/null
+++ b/data/hfopenllm_v2/hotmailuser/Deepseek-qwen-modelstock-2B/ef7b5e6d-b5b7-4c7b-9781-6f90eb1ff5dd.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/hotmailuser_Deepseek-qwen-modelstock-2B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Deepseek-qwen-modelstock-2B",
+    "id": "hotmailuser/Deepseek-qwen-modelstock-2B",
+    "developer": "hotmailuser",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 1.777
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2149
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3549
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3399
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2802
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3475
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1911
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/hotmailuser/Falcon3Slerp1-10B/1970e257-7c93-4342-9ff4-a96af21acc67.json b/data/hfopenllm_v2/hotmailuser/Falcon3Slerp1-10B/1970e257-7c93-4342-9ff4-a96af21acc67.json
new file mode 100644
index 000000000..5c04c6bd5
--- /dev/null
+++ b/data/hfopenllm_v2/hotmailuser/Falcon3Slerp1-10B/1970e257-7c93-4342-9ff4-a96af21acc67.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/hotmailuser_Falcon3Slerp1-10B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Falcon3Slerp1-10B",
+    "id": "hotmailuser/Falcon3Slerp1-10B",
+    "developer": "hotmailuser",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 10.306
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5694
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.617
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2598
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.344
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4318
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4402
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/hotmailuser/Falcon3Slerp1-10B/376d342c-669b-4c76-9e7b-d49566ac441d.json b/data/hfopenllm_v2/hotmailuser/Falcon3Slerp1-10B/376d342c-669b-4c76-9e7b-d49566ac441d.json
deleted file mode 100644
index 1d3e91bae..000000000
--- a/data/hfopenllm_v2/hotmailuser/Falcon3Slerp1-10B/376d342c-669b-4c76-9e7b-d49566ac441d.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/hotmailuser_Falcon3Slerp1-10B/1762652580.19171",
-  "retrieved_timestamp": "1762652580.191711",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "hotmailuser/Falcon3Slerp1-10B",
-    "developer": "hotmailuser",
-    "inference_platform": "unknown",
-    "id": "hotmailuser/Falcon3Slerp1-10B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 10.306
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5694069513335727
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.616984966186231
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2598187311178248
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.34395973154362414
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.43176041666666665
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4401595744680851
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/hotmailuser/Falcon3Slerp2-10B/15d71696-4b21-41ff-a4c6-0aea92fb844a.json b/data/hfopenllm_v2/hotmailuser/Falcon3Slerp2-10B/15d71696-4b21-41ff-a4c6-0aea92fb844a.json
new file mode 100644
index 000000000..7fc89171e
--- /dev/null
+++ b/data/hfopenllm_v2/hotmailuser/Falcon3Slerp2-10B/15d71696-4b21-41ff-a4c6-0aea92fb844a.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/hotmailuser_Falcon3Slerp2-10B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Falcon3Slerp2-10B",
+    "id": "hotmailuser/Falcon3Slerp2-10B",
+    "developer": "hotmailuser",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 10.306
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6118
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6164
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2319
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3381
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4096
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4369
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/hotmailuser/Falcon3Slerp2-10B/bae0b772-8ae6-4fed-ae78-d6d83e560a95.json b/data/hfopenllm_v2/hotmailuser/Falcon3Slerp2-10B/bae0b772-8ae6-4fed-ae78-d6d83e560a95.json
deleted file mode 100644
index 4552162d2..000000000
--- a/data/hfopenllm_v2/hotmailuser/Falcon3Slerp2-10B/bae0b772-8ae6-4fed-ae78-d6d83e560a95.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/hotmailuser_Falcon3Slerp2-10B/1762652580.191951",
-  "retrieved_timestamp": "1762652580.191952",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "hotmailuser/Falcon3Slerp2-10B",
-    "developer": "hotmailuser",
-    "inference_platform": "unknown",
-    "id": "hotmailuser/Falcon3Slerp2-10B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 10.306
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-        "score_type": "continuous",
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-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      }
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-}
diff --git a/data/hfopenllm_v2/hotmailuser/Falcon3Slerp4-10B/ccb85394-5252-48d4-8980-8b3a6c67ab1a.json b/data/hfopenllm_v2/hotmailuser/Falcon3Slerp4-10B/ccb85394-5252-48d4-8980-8b3a6c67ab1a.json
new file mode 100644
index 000000000..ad19a7974
--- /dev/null
+++ b/data/hfopenllm_v2/hotmailuser/Falcon3Slerp4-10B/ccb85394-5252-48d4-8980-8b3a6c67ab1a.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/hotmailuser_Falcon3Slerp4-10B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Falcon3Slerp4-10B",
+    "id": "hotmailuser/Falcon3Slerp4-10B",
+    "developer": "hotmailuser",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 10.306
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6072
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6114
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
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+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3289
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4017
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4387
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/hotmailuser/Falcon3Slerp4-10B/d5466af4-2bef-4ce8-a659-9e05a5e674b6.json b/data/hfopenllm_v2/hotmailuser/Falcon3Slerp4-10B/d5466af4-2bef-4ce8-a659-9e05a5e674b6.json
deleted file mode 100644
index dcfaf689b..000000000
--- a/data/hfopenllm_v2/hotmailuser/Falcon3Slerp4-10B/d5466af4-2bef-4ce8-a659-9e05a5e674b6.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/hotmailuser_Falcon3Slerp4-10B/1762652580.19215",
-  "retrieved_timestamp": "1762652580.192151",
-  "source_data": [
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-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
-    "name": "hotmailuser/Falcon3Slerp4-10B",
-    "developer": "hotmailuser",
-    "inference_platform": "unknown",
-    "id": "hotmailuser/Falcon3Slerp4-10B",
-    "additional_details": {
-      "precision": "bfloat16",
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-      "params_billions": 10.306
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
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-        "lower_is_better": false,
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-        "lower_is_better": false,
-        "score_type": "continuous",
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-        "max_score": 1
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-      "score_details": {
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-      }
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-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-    }
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-}
diff --git a/data/hfopenllm_v2/hotmailuser/FalconSlerp-3B/2db7aa3c-4969-40c0-b8c6-1ff5c953ba23.json b/data/hfopenllm_v2/hotmailuser/FalconSlerp-3B/2db7aa3c-4969-40c0-b8c6-1ff5c953ba23.json
deleted file mode 100644
index 2561e1949..000000000
--- a/data/hfopenllm_v2/hotmailuser/FalconSlerp-3B/2db7aa3c-4969-40c0-b8c6-1ff5c953ba23.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/hotmailuser_FalconSlerp-3B/1762652580.19236",
-  "retrieved_timestamp": "1762652580.1923609",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
-    "name": "hotmailuser/FalconSlerp-3B",
-    "developer": "hotmailuser",
-    "inference_platform": "unknown",
-    "id": "hotmailuser/FalconSlerp-3B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 3.228
-    }
-  },
-  "evaluation_results": [
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-      "evaluation_name": "IFEval",
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-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
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-        "score_type": "continuous",
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-      },
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.29679188829787234
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/hotmailuser/FalconSlerp-3B/ea9837ff-f4c7-4bb0-b2af-7ae26371baf0.json b/data/hfopenllm_v2/hotmailuser/FalconSlerp-3B/ea9837ff-f4c7-4bb0-b2af-7ae26371baf0.json
new file mode 100644
index 000000000..e5f0a213e
--- /dev/null
+++ b/data/hfopenllm_v2/hotmailuser/FalconSlerp-3B/ea9837ff-f4c7-4bb0-b2af-7ae26371baf0.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/hotmailuser_FalconSlerp-3B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "FalconSlerp-3B",
+    "id": "hotmailuser/FalconSlerp-3B",
+    "developer": "hotmailuser",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 3.228
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5695
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4624
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.176
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2878
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3989
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2968
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/hotmailuser/FalconSlerp1-7B/5d01fa6d-4280-4926-b166-e98892ee60f4.json b/data/hfopenllm_v2/hotmailuser/FalconSlerp1-7B/5d01fa6d-4280-4926-b166-e98892ee60f4.json
deleted file mode 100644
index c5ffcae72..000000000
--- a/data/hfopenllm_v2/hotmailuser/FalconSlerp1-7B/5d01fa6d-4280-4926-b166-e98892ee60f4.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/hotmailuser_FalconSlerp1-7B/1762652580.1925812",
-  "retrieved_timestamp": "1762652580.192582",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "hotmailuser/FalconSlerp1-7B",
-    "developer": "hotmailuser",
-    "inference_platform": "unknown",
-    "id": "hotmailuser/FalconSlerp1-7B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 7.456
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5394564200765082
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5354677787663963
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3196308724832215
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.44525
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4128989361702128
-      }
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-}
diff --git a/data/hfopenllm_v2/hotmailuser/FalconSlerp1-7B/fe9012a7-d07f-48d4-b460-eca256078d8b.json b/data/hfopenllm_v2/hotmailuser/FalconSlerp1-7B/fe9012a7-d07f-48d4-b460-eca256078d8b.json
new file mode 100644
index 000000000..500ef8052
--- /dev/null
+++ b/data/hfopenllm_v2/hotmailuser/FalconSlerp1-7B/fe9012a7-d07f-48d4-b460-eca256078d8b.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/hotmailuser_FalconSlerp1-7B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "FalconSlerp1-7B",
+    "id": "hotmailuser/FalconSlerp1-7B",
+    "developer": "hotmailuser",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 7.456
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5395
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5355
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2379
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4452
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4129
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/hotmailuser/FalconSlerp2-7B/8e8d2071-8e7d-4dad-8536-4698b2d00316.json b/data/hfopenllm_v2/hotmailuser/FalconSlerp2-7B/8e8d2071-8e7d-4dad-8536-4698b2d00316.json
new file mode 100644
index 000000000..8e8a72c09
--- /dev/null
+++ b/data/hfopenllm_v2/hotmailuser/FalconSlerp2-7B/8e8d2071-8e7d-4dad-8536-4698b2d00316.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/hotmailuser_FalconSlerp2-7B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "FalconSlerp2-7B",
+    "id": "hotmailuser/FalconSlerp2-7B",
+    "developer": "hotmailuser",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 7.456
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.616
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5538
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2983
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3196
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4479
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4141
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/hotmailuser/FalconSlerp2-7B/fc8605ad-f7b9-4a73-afd3-85b996fc2549.json b/data/hfopenllm_v2/hotmailuser/FalconSlerp2-7B/fc8605ad-f7b9-4a73-afd3-85b996fc2549.json
deleted file mode 100644
index dfbb71373..000000000
--- a/data/hfopenllm_v2/hotmailuser/FalconSlerp2-7B/fc8605ad-f7b9-4a73-afd3-85b996fc2549.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/hotmailuser_FalconSlerp2-7B/1762652580.1928341",
-  "retrieved_timestamp": "1762652580.192835",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "hotmailuser/FalconSlerp2-7B",
-    "developer": "hotmailuser",
-    "inference_platform": "unknown",
-    "id": "hotmailuser/FalconSlerp2-7B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 7.456
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6160432097944565
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5537805428914538
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2983383685800604
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3196308724832215
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.44788541666666665
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4140625
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/hotmailuser/FalconSlerp3-10B/dbcb41be-9ed6-4244-ada8-77f363c3487e.json b/data/hfopenllm_v2/hotmailuser/FalconSlerp3-10B/dbcb41be-9ed6-4244-ada8-77f363c3487e.json
new file mode 100644
index 000000000..3031ed1a6
--- /dev/null
+++ b/data/hfopenllm_v2/hotmailuser/FalconSlerp3-10B/dbcb41be-9ed6-4244-ada8-77f363c3487e.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/hotmailuser_FalconSlerp3-10B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "FalconSlerp3-10B",
+    "id": "hotmailuser/FalconSlerp3-10B",
+    "developer": "hotmailuser",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 10.306
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6002
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.606
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2273
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3356
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4031
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4323
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/hotmailuser/FalconSlerp3-10B/f933fbc2-370e-4231-94a9-c833c2aa793d.json b/data/hfopenllm_v2/hotmailuser/FalconSlerp3-10B/f933fbc2-370e-4231-94a9-c833c2aa793d.json
deleted file mode 100644
index feedb41a3..000000000
--- a/data/hfopenllm_v2/hotmailuser/FalconSlerp3-10B/f933fbc2-370e-4231-94a9-c833c2aa793d.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/hotmailuser_FalconSlerp3-10B/1762652580.1930392",
-  "retrieved_timestamp": "1762652580.19304",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "hotmailuser/FalconSlerp3-10B",
-    "developer": "hotmailuser",
-    "inference_platform": "unknown",
-    "id": "hotmailuser/FalconSlerp3-10B",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 10.306
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6001564737119731
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6060288025434474
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.22734138972809667
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.33557046979865773
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4030833333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4323470744680851
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/hotmailuser/FalconSlerp3-7B/017a681e-1bbb-4890-bfcc-f276954678e1.json b/data/hfopenllm_v2/hotmailuser/FalconSlerp3-7B/017a681e-1bbb-4890-bfcc-f276954678e1.json
deleted file mode 100644
index 83a5a8f1f..000000000
--- a/data/hfopenllm_v2/hotmailuser/FalconSlerp3-7B/017a681e-1bbb-4890-bfcc-f276954678e1.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/hotmailuser_FalconSlerp3-7B/1762652580.193249",
-  "retrieved_timestamp": "1762652580.19325",
-  "source_data": [
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-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "hotmailuser/FalconSlerp3-7B",
-    "developer": "hotmailuser",
-    "inference_platform": "unknown",
-    "id": "hotmailuser/FalconSlerp3-7B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 7.456
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6096235765546527
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-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5532966528909408
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-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
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-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3187919463087248
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-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.45067708333333334
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-    }
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-}
diff --git a/data/hfopenllm_v2/hotmailuser/FalconSlerp3-7B/e48e2d7e-6c14-4bb1-bd12-74d93a145ca3.json b/data/hfopenllm_v2/hotmailuser/FalconSlerp3-7B/e48e2d7e-6c14-4bb1-bd12-74d93a145ca3.json
new file mode 100644
index 000000000..5165cca5b
--- /dev/null
+++ b/data/hfopenllm_v2/hotmailuser/FalconSlerp3-7B/e48e2d7e-6c14-4bb1-bd12-74d93a145ca3.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/hotmailuser_FalconSlerp3-7B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "FalconSlerp3-7B",
+    "id": "hotmailuser/FalconSlerp3-7B",
+    "developer": "hotmailuser",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 7.456
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6096
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5533
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3157
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3188
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4507
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4127
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/hotmailuser/FalconSlerp4-7B/30c2d908-3eaf-408a-a2b5-301e0cd9e052.json b/data/hfopenllm_v2/hotmailuser/FalconSlerp4-7B/30c2d908-3eaf-408a-a2b5-301e0cd9e052.json
new file mode 100644
index 000000000..7cb786f59
--- /dev/null
+++ b/data/hfopenllm_v2/hotmailuser/FalconSlerp4-7B/30c2d908-3eaf-408a-a2b5-301e0cd9e052.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/hotmailuser_FalconSlerp4-7B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "FalconSlerp4-7B",
+    "id": "hotmailuser/FalconSlerp4-7B",
+    "developer": "hotmailuser",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 7.456
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6285
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5524
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2213
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3322
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4585
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4032
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/hotmailuser/FalconSlerp4-7B/d6ac7c9f-212e-4000-b89e-d977122d2e2b.json b/data/hfopenllm_v2/hotmailuser/FalconSlerp4-7B/d6ac7c9f-212e-4000-b89e-d977122d2e2b.json
deleted file mode 100644
index 356475a32..000000000
--- a/data/hfopenllm_v2/hotmailuser/FalconSlerp4-7B/d6ac7c9f-212e-4000-b89e-d977122d2e2b.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/hotmailuser_FalconSlerp4-7B/1762652580.193457",
-  "retrieved_timestamp": "1762652580.1934578",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "hotmailuser/FalconSlerp4-7B",
-    "developer": "hotmailuser",
-    "inference_platform": "unknown",
-    "id": "hotmailuser/FalconSlerp4-7B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 7.456
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6284580468711907
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-    },
-    {
-      "evaluation_name": "BBH",
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5523506352993854
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.33221476510067116
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4585208333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4031748670212766
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/hotmailuser/FalconSlerp6-7B/88a4587f-d3d4-4b08-b800-13a2daf4a660.json b/data/hfopenllm_v2/hotmailuser/FalconSlerp6-7B/88a4587f-d3d4-4b08-b800-13a2daf4a660.json
deleted file mode 100644
index 779560b9e..000000000
--- a/data/hfopenllm_v2/hotmailuser/FalconSlerp6-7B/88a4587f-d3d4-4b08-b800-13a2daf4a660.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/hotmailuser_FalconSlerp6-7B/1762652580.193665",
-  "retrieved_timestamp": "1762652580.193666",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "hotmailuser/FalconSlerp6-7B",
-    "developer": "hotmailuser",
-    "inference_platform": "unknown",
-    "id": "hotmailuser/FalconSlerp6-7B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 7.456
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6026542906155667
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5383801786207648
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.20468277945619334
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3179530201342282
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.44921875
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.39951795212765956
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/hotmailuser/FalconSlerp6-7B/f7624d04-66d1-4c05-8c01-d015ecf8412c.json b/data/hfopenllm_v2/hotmailuser/FalconSlerp6-7B/f7624d04-66d1-4c05-8c01-d015ecf8412c.json
new file mode 100644
index 000000000..df78b9118
--- /dev/null
+++ b/data/hfopenllm_v2/hotmailuser/FalconSlerp6-7B/f7624d04-66d1-4c05-8c01-d015ecf8412c.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/hotmailuser_FalconSlerp6-7B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "FalconSlerp6-7B",
+    "id": "hotmailuser/FalconSlerp6-7B",
+    "developer": "hotmailuser",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 7.456
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6027
+      }
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new file mode 100644
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new file mode 100644
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diff --git a/data/hfopenllm_v2/hotmailuser/Gemma2atlas-27B/6a6dfcb4-192b-44ff-a34f-76b31bbf5ad3.json b/data/hfopenllm_v2/hotmailuser/Gemma2atlas-27B/6a6dfcb4-192b-44ff-a34f-76b31bbf5ad3.json
new file mode 100644
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diff --git a/data/hfopenllm_v2/hotmailuser/Gemma2magnum-27b/e0dbec0b-a154-448a-be23-ef9b764469ea.json b/data/hfopenllm_v2/hotmailuser/Gemma2magnum-27b/e0dbec0b-a154-448a-be23-ef9b764469ea.json
new file mode 100644
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diff --git a/data/hfopenllm_v2/hotmailuser/Llama-Hermes-slerp-8B/ecd91300-b0cf-48ce-9e5c-253a7991f90e.json b/data/hfopenllm_v2/hotmailuser/Llama-Hermes-slerp-8B/ecd91300-b0cf-48ce-9e5c-253a7991f90e.json
new file mode 100644
index 000000000..2af872ca1
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diff --git a/data/hfopenllm_v2/hotmailuser/Llama-Hermes-slerp2-8B/e3df71f1-63e1-40f1-918d-07cb3ec939cf.json b/data/hfopenllm_v2/hotmailuser/Llama-Hermes-slerp2-8B/e3df71f1-63e1-40f1-918d-07cb3ec939cf.json
new file mode 100644
index 000000000..c653551a2
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new file mode 100644
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diff --git a/data/hfopenllm_v2/hotmailuser/Mistral-modelstock-24B/91f15ba3-a062-4b01-8a61-6e51fdf5f8d4.json b/data/hfopenllm_v2/hotmailuser/Mistral-modelstock-24B/91f15ba3-a062-4b01-8a61-6e51fdf5f8d4.json
new file mode 100644
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new file mode 100644
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diff --git a/data/hfopenllm_v2/hotmailuser/Phi4-Slerp4-14B/e5c8f97d-1873-4c9d-8bed-50dc592543db.json b/data/hfopenllm_v2/hotmailuser/Phi4-Slerp4-14B/e5c8f97d-1873-4c9d-8bed-50dc592543db.json
new file mode 100644
index 000000000..4377cee38
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+++ b/data/hfopenllm_v2/hotmailuser/Phi4-Slerp4-14B/e5c8f97d-1873-4c9d-8bed-50dc592543db.json
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diff --git a/data/hfopenllm_v2/hotmailuser/Qwen2.5-HomerSlerp-7B/7ee2803c-b8f8-4156-8472-bab4baab8863.json b/data/hfopenllm_v2/hotmailuser/Qwen2.5-HomerSlerp-7B/7ee2803c-b8f8-4156-8472-bab4baab8863.json
new file mode 100644
index 000000000..1e3e4c4b1
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diff --git a/data/hfopenllm_v2/hotmailuser/QwenModelStock-1.8B/78573f63-3073-4be4-93a7-0ea00b1383fd.json b/data/hfopenllm_v2/hotmailuser/QwenModelStock-1.8B/78573f63-3073-4be4-93a7-0ea00b1383fd.json
new file mode 100644
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diff --git a/data/hfopenllm_v2/hotmailuser/QwenSlerp-14B/42da7295-d78d-49a4-9279-8406063240c4.json b/data/hfopenllm_v2/hotmailuser/QwenSlerp-14B/42da7295-d78d-49a4-9279-8406063240c4.json
new file mode 100644
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diff --git a/data/hfopenllm_v2/hotmailuser/QwenSlerp-3B/b61c5735-53ca-4dda-a223-79921eee7f3e.json b/data/hfopenllm_v2/hotmailuser/QwenSlerp-3B/b61c5735-53ca-4dda-a223-79921eee7f3e.json
new file mode 100644
index 000000000..ab9d3d420
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new file mode 100644
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new file mode 100644
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new file mode 100644
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diff --git a/data/hfopenllm_v2/hotmailuser/QwenSlerp3-14B/da365c7b-74d0-4a9f-a8fd-cf4049ec4de6.json b/data/hfopenllm_v2/hotmailuser/QwenSlerp3-14B/da365c7b-74d0-4a9f-a8fd-cf4049ec4de6.json
new file mode 100644
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new file mode 100644
index 000000000..8f33a3dbf
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/hotmailuser/QwenStock-0.5B/543f45e0-a158-4fdb-bbb1-8deb38f4515b.json b/data/hfopenllm_v2/hotmailuser/QwenStock-0.5B/543f45e0-a158-4fdb-bbb1-8deb38f4515b.json
new file mode 100644
index 000000000..be59d9fa4
--- /dev/null
+++ b/data/hfopenllm_v2/hotmailuser/QwenStock-0.5B/543f45e0-a158-4fdb-bbb1-8deb38f4515b.json
@@ -0,0 +1,132 @@
+{
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+    "source_type": "documentation",
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/hotmailuser/QwenStock-1.7B/b96a20e0-d044-4a66-8909-437aeaef569c.json b/data/hfopenllm_v2/hotmailuser/QwenStock-1.7B/b96a20e0-d044-4a66-8909-437aeaef569c.json
new file mode 100644
index 000000000..efbdd247d
--- /dev/null
+++ b/data/hfopenllm_v2/hotmailuser/QwenStock-1.7B/b96a20e0-d044-4a66-8909-437aeaef569c.json
@@ -0,0 +1,132 @@
+{
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+        "hf_repo": "SaylorTwift/bbh"
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+        "score_type": "continuous",
+        "min_score": 0.0,
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+      },
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+    },
+    {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
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+        "hf_repo": "TIGER-Lab/MMLU-Pro"
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+        "evaluation_description": "Accuracy on MMLU-PRO",
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/hotmailuser/QwenStock1-14B/408742ff-4b21-46dc-b4d6-4c78d652d228.json b/data/hfopenllm_v2/hotmailuser/QwenStock1-14B/408742ff-4b21-46dc-b4d6-4c78d652d228.json
new file mode 100644
index 000000000..2d5a4767d
--- /dev/null
+++ b/data/hfopenllm_v2/hotmailuser/QwenStock1-14B/408742ff-4b21-46dc-b4d6-4c78d652d228.json
@@ -0,0 +1,132 @@
+{
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+  "evaluation_id": "hfopenllm_v2/hotmailuser_QwenStock1-14B/1770682486.623709",
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+  "source_metadata": {
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+    "source_type": "documentation",
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+    "evaluator_relationship": "third_party"
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+      "params_billions": 14.766
+    }
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+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6502
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+    },
+    {
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+        "hf_repo": "Idavidrein/gpqa"
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+        "evaluation_description": "Accuracy on GPQA",
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+        "score_type": "continuous",
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+        "max_score": 1.0
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
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+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "max_score": 1.0
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+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/hotmailuser/RombosBeagle-v2beta-MGS-32B/496a9fbe-376c-4546-bd90-b42f583924ce.json b/data/hfopenllm_v2/hotmailuser/RombosBeagle-v2beta-MGS-32B/496a9fbe-376c-4546-bd90-b42f583924ce.json
new file mode 100644
index 000000000..3e888318d
--- /dev/null
+++ b/data/hfopenllm_v2/hotmailuser/RombosBeagle-v2beta-MGS-32B/496a9fbe-376c-4546-bd90-b42f583924ce.json
@@ -0,0 +1,132 @@
+{
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+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "RombosBeagle-v2beta-MGS-32B",
+    "id": "hotmailuser/RombosBeagle-v2beta-MGS-32B",
+    "developer": "hotmailuser",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 32.764
+    }
+  },
+  "evaluation_results": [
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+      "evaluation_name": "IFEval",
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+        "source_type": "hf_dataset",
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+        "evaluation_description": "Accuracy on IFEval",
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+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+    },
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+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7037
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5021
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5908
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/hotmailuser/RombosBeagle-v2beta-MGS-32B/c507c0ac-759a-4013-8dd0-7ab5a959ca65.json b/data/hfopenllm_v2/hotmailuser/RombosBeagle-v2beta-MGS-32B/c507c0ac-759a-4013-8dd0-7ab5a959ca65.json
deleted file mode 100644
index 9ae073b42..000000000
--- a/data/hfopenllm_v2/hotmailuser/RombosBeagle-v2beta-MGS-32B/c507c0ac-759a-4013-8dd0-7ab5a959ca65.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/hotmailuser_RombosBeagle-v2beta-MGS-32B/1762652580.199307",
-  "retrieved_timestamp": "1762652580.199308",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "hotmailuser/RombosBeagle-v2beta-MGS-32B",
-    "developer": "hotmailuser",
-    "inference_platform": "unknown",
-    "id": "hotmailuser/RombosBeagle-v2beta-MGS-32B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 32.764
-    }
-  },
-  "evaluation_results": [
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new file mode 100644
index 000000000..a7410ce47
--- /dev/null
+++ b/data/hfopenllm_v2/huggyllama/llama-13b/f32c07b4-21a8-4cd2-91f8-f0f26d0b1b38.json
@@ -0,0 +1,132 @@
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/huggyllama/llama-65b/cc36cc37-0f41-42aa-8051-54cc135820ef.json b/data/hfopenllm_v2/huggyllama/llama-65b/cc36cc37-0f41-42aa-8051-54cc135820ef.json
new file mode 100644
index 000000000..89a0f62be
--- /dev/null
+++ b/data/hfopenllm_v2/huggyllama/llama-65b/cc36cc37-0f41-42aa-8051-54cc135820ef.json
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/huggyllama/llama-7b/20d3dac4-9f8c-431c-b20f-364dd860e37f.json b/data/hfopenllm_v2/huggyllama/llama-7b/20d3dac4-9f8c-431c-b20f-364dd860e37f.json
new file mode 100644
index 000000000..18ff58949
--- /dev/null
+++ b/data/hfopenllm_v2/huggyllama/llama-7b/20d3dac4-9f8c-431c-b20f-364dd860e37f.json
@@ -0,0 +1,132 @@
+{
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/huihui-ai/DeepSeek-R1-Distill-Qwen-14B-abliterated-v2/89022ea8-2a5b-4eba-8d7a-320ba13d30a4.json b/data/hfopenllm_v2/huihui-ai/DeepSeek-R1-Distill-Qwen-14B-abliterated-v2/89022ea8-2a5b-4eba-8d7a-320ba13d30a4.json
new file mode 100644
index 000000000..3494d0b6e
--- /dev/null
+++ b/data/hfopenllm_v2/huihui-ai/DeepSeek-R1-Distill-Qwen-14B-abliterated-v2/89022ea8-2a5b-4eba-8d7a-320ba13d30a4.json
@@ -0,0 +1,132 @@
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+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
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+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
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+  "model_info": {
+    "name": "DeepSeek-R1-Distill-Qwen-14B-abliterated-v2",
+    "id": "huihui-ai/DeepSeek-R1-Distill-Qwen-14B-abliterated-v2",
+    "developer": "huihui-ai",
+    "inference_platform": "unknown",
+    "additional_details": {
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+      "params_billions": 14.77
+    }
+  },
+  "evaluation_results": [
+    {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
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+    },
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
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+        "hf_repo": "TIGER-Lab/MMLU-Pro"
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+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/huihui-ai/QwQ-32B-Coder-Fusion-7030/5fb3b31d-8c2c-4d76-8532-1bff0f793f4b.json b/data/hfopenllm_v2/huihui-ai/QwQ-32B-Coder-Fusion-7030/5fb3b31d-8c2c-4d76-8532-1bff0f793f4b.json
deleted file mode 100644
index 07ec3473d..000000000
--- a/data/hfopenllm_v2/huihui-ai/QwQ-32B-Coder-Fusion-7030/5fb3b31d-8c2c-4d76-8532-1bff0f793f4b.json
+++ /dev/null
@@ -1,105 +0,0 @@
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-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
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-    "developer": "huihui-ai",
-    "inference_platform": "unknown",
-    "id": "huihui-ai/QwQ-32B-Coder-Fusion-7030",
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-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
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-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6177864730931621
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-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-    {
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-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.28439597315436244
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.39222916666666663
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
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-      }
-    }
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-}
diff --git a/data/hfopenllm_v2/huihui-ai/QwQ-32B-Coder-Fusion-7030/97bfd152-79c6-4c96-8d3e-588275339e41.json b/data/hfopenllm_v2/huihui-ai/QwQ-32B-Coder-Fusion-7030/97bfd152-79c6-4c96-8d3e-588275339e41.json
new file mode 100644
index 000000000..20f0742c2
--- /dev/null
+++ b/data/hfopenllm_v2/huihui-ai/QwQ-32B-Coder-Fusion-7030/97bfd152-79c6-4c96-8d3e-588275339e41.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/huihui-ai_QwQ-32B-Coder-Fusion-7030/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "QwQ-32B-Coder-Fusion-7030",
+    "id": "huihui-ai/QwQ-32B-Coder-Fusion-7030",
+    "developer": "huihui-ai",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 32.764
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3865
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6178
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2795
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2844
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3922
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4368
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/huihui-ai/QwQ-32B-Coder-Fusion-8020/461ee093-b573-4ce9-9168-c9852dc9745b.json b/data/hfopenllm_v2/huihui-ai/QwQ-32B-Coder-Fusion-8020/461ee093-b573-4ce9-9168-c9852dc9745b.json
deleted file mode 100644
index 16ec30da0..000000000
--- a/data/hfopenllm_v2/huihui-ai/QwQ-32B-Coder-Fusion-8020/461ee093-b573-4ce9-9168-c9852dc9745b.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/huihui-ai_QwQ-32B-Coder-Fusion-8020/1762652580.200916",
-  "retrieved_timestamp": "1762652580.200917",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "huihui-ai/QwQ-32B-Coder-Fusion-8020",
-    "developer": "huihui-ai",
-    "inference_platform": "unknown",
-    "id": "huihui-ai/QwQ-32B-Coder-Fusion-8020",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 32.764
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6020547702318737
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6664531829718748
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
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-        "score": 0.459214501510574
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
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-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3548657718120805
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42934374999999997
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5367353723404256
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/huihui-ai/QwQ-32B-Coder-Fusion-8020/93061947-2bcf-482e-ab22-38ef8ee33bcf.json b/data/hfopenllm_v2/huihui-ai/QwQ-32B-Coder-Fusion-8020/93061947-2bcf-482e-ab22-38ef8ee33bcf.json
new file mode 100644
index 000000000..10b206b42
--- /dev/null
+++ b/data/hfopenllm_v2/huihui-ai/QwQ-32B-Coder-Fusion-8020/93061947-2bcf-482e-ab22-38ef8ee33bcf.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/huihui-ai_QwQ-32B-Coder-Fusion-8020/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "QwQ-32B-Coder-Fusion-8020",
+    "id": "huihui-ai/QwQ-32B-Coder-Fusion-8020",
+    "developer": "huihui-ai",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 32.764
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6021
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6665
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4592
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3549
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4293
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5367
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/huihui-ai/QwQ-32B-Coder-Fusion-9010/41d5fb44-855b-4ff1-8f5d-95b8a9f9a9af.json b/data/hfopenllm_v2/huihui-ai/QwQ-32B-Coder-Fusion-9010/41d5fb44-855b-4ff1-8f5d-95b8a9f9a9af.json
deleted file mode 100644
index c26247c36..000000000
--- a/data/hfopenllm_v2/huihui-ai/QwQ-32B-Coder-Fusion-9010/41d5fb44-855b-4ff1-8f5d-95b8a9f9a9af.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/huihui-ai_QwQ-32B-Coder-Fusion-9010/1762652580.201131",
-  "retrieved_timestamp": "1762652580.201132",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "huihui-ai/QwQ-32B-Coder-Fusion-9010",
-    "developer": "huihui-ai",
-    "inference_platform": "unknown",
-    "id": "huihui-ai/QwQ-32B-Coder-Fusion-9010",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 32.764
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5778246164620984
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6727405551499568
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5317220543806647
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3615771812080537
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4681979166666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5600066489361702
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/huihui-ai/QwQ-32B-Coder-Fusion-9010/8f65748b-1251-49f8-bfed-d1e4a937d5ba.json b/data/hfopenllm_v2/huihui-ai/QwQ-32B-Coder-Fusion-9010/8f65748b-1251-49f8-bfed-d1e4a937d5ba.json
new file mode 100644
index 000000000..9d7bf036a
--- /dev/null
+++ b/data/hfopenllm_v2/huihui-ai/QwQ-32B-Coder-Fusion-9010/8f65748b-1251-49f8-bfed-d1e4a937d5ba.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/huihui-ai_QwQ-32B-Coder-Fusion-9010/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "QwQ-32B-Coder-Fusion-9010",
+    "id": "huihui-ai/QwQ-32B-Coder-Fusion-9010",
+    "developer": "huihui-ai",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 32.764
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5778
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6727
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5317
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3616
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4682
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.56
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/huihui-ai/Qwen2.5-14B-Instruct-abliterated-v2/4f278881-69d3-42b5-b72c-ff8627a6ef44.json b/data/hfopenllm_v2/huihui-ai/Qwen2.5-14B-Instruct-abliterated-v2/4f278881-69d3-42b5-b72c-ff8627a6ef44.json
new file mode 100644
index 000000000..ca8850291
--- /dev/null
+++ b/data/hfopenllm_v2/huihui-ai/Qwen2.5-14B-Instruct-abliterated-v2/4f278881-69d3-42b5-b72c-ff8627a6ef44.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/huihui-ai_Qwen2.5-14B-Instruct-abliterated-v2/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-14B-Instruct-abliterated-v2",
+    "id": "huihui-ai/Qwen2.5-14B-Instruct-abliterated-v2",
+    "developer": "huihui-ai",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.77
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.8328
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6324
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5302
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3339
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.422
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4962
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/huihui-ai/Qwen2.5-14B-Instruct-abliterated-v2/92cad41b-64b5-48db-b865-77d0ea2ef834.json b/data/hfopenllm_v2/huihui-ai/Qwen2.5-14B-Instruct-abliterated-v2/92cad41b-64b5-48db-b865-77d0ea2ef834.json
deleted file mode 100644
index 9d493d83f..000000000
--- a/data/hfopenllm_v2/huihui-ai/Qwen2.5-14B-Instruct-abliterated-v2/92cad41b-64b5-48db-b865-77d0ea2ef834.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/huihui-ai_Qwen2.5-14B-Instruct-abliterated-v2/1762652580.201351",
-  "retrieved_timestamp": "1762652580.201352",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "huihui-ai/Qwen2.5-14B-Instruct-abliterated-v2",
-    "developer": "huihui-ai",
-    "inference_platform": "unknown",
-    "id": "huihui-ai/Qwen2.5-14B-Instruct-abliterated-v2",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 14.77
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.8327637335602867
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6323822447052897
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5302114803625377
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3338926174496644
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42196875
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.49617686170212766
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/huihui-ai/Qwen2.5-72B-Instruct-abliterated/b892c2f3-4aa6-4b19-80e5-1b0f5e0eda25.json b/data/hfopenllm_v2/huihui-ai/Qwen2.5-72B-Instruct-abliterated/b892c2f3-4aa6-4b19-80e5-1b0f5e0eda25.json
deleted file mode 100644
index 96e9232ea..000000000
--- a/data/hfopenllm_v2/huihui-ai/Qwen2.5-72B-Instruct-abliterated/b892c2f3-4aa6-4b19-80e5-1b0f5e0eda25.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/huihui-ai_Qwen2.5-72B-Instruct-abliterated/1762652580.2015731",
-  "retrieved_timestamp": "1762652580.2015731",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "huihui-ai/Qwen2.5-72B-Instruct-abliterated",
-    "developer": "huihui-ai",
-    "inference_platform": "unknown",
-    "id": "huihui-ai/Qwen2.5-72B-Instruct-abliterated",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 72.706
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.8592667455684251
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7189881596250237
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6012084592145015
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3951342281879195
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4232708333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5536901595744681
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/huihui-ai/Qwen2.5-72B-Instruct-abliterated/d88e85c5-73df-46cc-9234-f0556592ad5a.json b/data/hfopenllm_v2/huihui-ai/Qwen2.5-72B-Instruct-abliterated/d88e85c5-73df-46cc-9234-f0556592ad5a.json
new file mode 100644
index 000000000..716aaba17
--- /dev/null
+++ b/data/hfopenllm_v2/huihui-ai/Qwen2.5-72B-Instruct-abliterated/d88e85c5-73df-46cc-9234-f0556592ad5a.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/huihui-ai_Qwen2.5-72B-Instruct-abliterated/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-72B-Instruct-abliterated",
+    "id": "huihui-ai/Qwen2.5-72B-Instruct-abliterated",
+    "developer": "huihui-ai",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 72.706
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.8593
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.719
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6012
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3951
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4233
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5537
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/huihui-ai/Qwen2.5-7B-Instruct-abliterated-v2/15c4b42b-ee8f-4f0d-8d54-7d827133fe7f.json b/data/hfopenllm_v2/huihui-ai/Qwen2.5-7B-Instruct-abliterated-v2/15c4b42b-ee8f-4f0d-8d54-7d827133fe7f.json
deleted file mode 100644
index a05beae58..000000000
--- a/data/hfopenllm_v2/huihui-ai/Qwen2.5-7B-Instruct-abliterated-v2/15c4b42b-ee8f-4f0d-8d54-7d827133fe7f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/huihui-ai_Qwen2.5-7B-Instruct-abliterated-v2/1762652580.201998",
-  "retrieved_timestamp": "1762652580.201998",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "huihui-ai/Qwen2.5-7B-Instruct-abliterated-v2",
-    "developer": "huihui-ai",
-    "inference_platform": "unknown",
-    "id": "huihui-ai/Qwen2.5-7B-Instruct-abliterated-v2",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.616
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5376688442794247
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4637462235649547
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3087248322147651
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3980625
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42079454787234044
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/huihui-ai/Qwen2.5-7B-Instruct-abliterated-v2/44d2a20d-e867-4fa5-af3d-087f9c1b4067.json b/data/hfopenllm_v2/huihui-ai/Qwen2.5-7B-Instruct-abliterated-v2/44d2a20d-e867-4fa5-af3d-087f9c1b4067.json
new file mode 100644
index 000000000..da59c59b9
--- /dev/null
+++ b/data/hfopenllm_v2/huihui-ai/Qwen2.5-7B-Instruct-abliterated-v2/44d2a20d-e867-4fa5-af3d-087f9c1b4067.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/huihui-ai_Qwen2.5-7B-Instruct-abliterated-v2/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-7B-Instruct-abliterated-v2",
+    "id": "huihui-ai/Qwen2.5-7B-Instruct-abliterated-v2",
+    "developer": "huihui-ai",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7606
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5377
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4637
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3087
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3981
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4208
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/huihui-ai/Qwen2.5-7B-Instruct-abliterated/625501d4-5d1e-48e0-8690-e301c51f652d.json b/data/hfopenllm_v2/huihui-ai/Qwen2.5-7B-Instruct-abliterated/625501d4-5d1e-48e0-8690-e301c51f652d.json
deleted file mode 100644
index 27d26d6e7..000000000
--- a/data/hfopenllm_v2/huihui-ai/Qwen2.5-7B-Instruct-abliterated/625501d4-5d1e-48e0-8690-e301c51f652d.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/huihui-ai_Qwen2.5-7B-Instruct-abliterated/1762652580.201783",
-  "retrieved_timestamp": "1762652580.2017841",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "huihui-ai/Qwen2.5-7B-Instruct-abliterated",
-    "developer": "huihui-ai",
-    "inference_platform": "unknown",
-    "id": "huihui-ai/Qwen2.5-7B-Instruct-abliterated",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.616
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7546033413564897
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5261589972829911
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.45770392749244715
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.31543624161073824
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.39666666666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41796875
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/huihui-ai/Qwen2.5-7B-Instruct-abliterated/e83b3e7e-dc34-4b06-bcfe-95b3ba28aab4.json b/data/hfopenllm_v2/huihui-ai/Qwen2.5-7B-Instruct-abliterated/e83b3e7e-dc34-4b06-bcfe-95b3ba28aab4.json
new file mode 100644
index 000000000..092cf89ac
--- /dev/null
+++ b/data/hfopenllm_v2/huihui-ai/Qwen2.5-7B-Instruct-abliterated/e83b3e7e-dc34-4b06-bcfe-95b3ba28aab4.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/huihui-ai_Qwen2.5-7B-Instruct-abliterated/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-7B-Instruct-abliterated",
+    "id": "huihui-ai/Qwen2.5-7B-Instruct-abliterated",
+    "developer": "huihui-ai",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7546
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5262
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4577
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3154
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3967
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.418
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/huu-ontocord/wide_3b_orpo_stage1.1-ss1-orpo3/44f2948c-4564-44cc-98d8-4f82a30e1f09.json b/data/hfopenllm_v2/huu-ontocord/wide_3b_orpo_stage1.1-ss1-orpo3/44f2948c-4564-44cc-98d8-4f82a30e1f09.json
new file mode 100644
index 000000000..a707ad657
--- /dev/null
+++ b/data/hfopenllm_v2/huu-ontocord/wide_3b_orpo_stage1.1-ss1-orpo3/44f2948c-4564-44cc-98d8-4f82a30e1f09.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/huu-ontocord_wide_3b_orpo_stage1.1-ss1-orpo3/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "wide_3b_orpo_stage1.1-ss1-orpo3",
+    "id": "huu-ontocord/wide_3b_orpo_stage1.1-ss1-orpo3",
+    "developer": "huu-ontocord",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 3.759
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1505
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2937
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0098
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2584
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3618
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1164
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/huu-ontocord/wide_3b_orpo_stage1.1-ss1-orpo3/50854a36-b87e-421d-b8d5-7a46054ecc59.json b/data/hfopenllm_v2/huu-ontocord/wide_3b_orpo_stage1.1-ss1-orpo3/50854a36-b87e-421d-b8d5-7a46054ecc59.json
deleted file mode 100644
index ea6af20b7..000000000
--- a/data/hfopenllm_v2/huu-ontocord/wide_3b_orpo_stage1.1-ss1-orpo3/50854a36-b87e-421d-b8d5-7a46054ecc59.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/huu-ontocord_wide_3b_orpo_stage1.1-ss1-orpo3/1762652580.202209",
-  "retrieved_timestamp": "1762652580.20221",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "huu-ontocord/wide_3b_orpo_stage1.1-ss1-orpo3",
-    "developer": "huu-ontocord",
-    "inference_platform": "unknown",
-    "id": "huu-ontocord/wide_3b_orpo_stage1.1-ss1-orpo3",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 3.759
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.15052726764983576
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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new file mode 100644
index 000000000..099d88b45
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new file mode 100644
index 000000000..b84be7a8b
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/iFaz/llama32_3B_en_emo_5000_stp/63b887a1-a0b9-46db-a563-b9bd67a0805a.json b/data/hfopenllm_v2/iFaz/llama32_3B_en_emo_5000_stp/63b887a1-a0b9-46db-a563-b9bd67a0805a.json
new file mode 100644
index 000000000..2c79dd41d
--- /dev/null
+++ b/data/hfopenllm_v2/iFaz/llama32_3B_en_emo_5000_stp/63b887a1-a0b9-46db-a563-b9bd67a0805a.json
@@ -0,0 +1,132 @@
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+        "hf_repo": "TIGER-Lab/MMLU-Pro"
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+      }
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/iFaz/llama32_3B_en_emo_v2/92d122f7-f29d-49e3-99da-bf20edf377a2.json b/data/hfopenllm_v2/iFaz/llama32_3B_en_emo_v2/92d122f7-f29d-49e3-99da-bf20edf377a2.json
new file mode 100644
index 000000000..bc0aeebe3
--- /dev/null
+++ b/data/hfopenllm_v2/iFaz/llama32_3B_en_emo_v2/92d122f7-f29d-49e3-99da-bf20edf377a2.json
@@ -0,0 +1,132 @@
+{
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+  "source_metadata": {
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+    "source_type": "documentation",
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+    "developer": "iFaz",
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+        "hf_repo": "TIGER-Lab/MMLU-Pro"
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/iFaz/llama32_3B_en_emo_v3/a0b71344-f3a8-4ad0-87c5-6393148488b1.json b/data/hfopenllm_v2/iFaz/llama32_3B_en_emo_v3/a0b71344-f3a8-4ad0-87c5-6393148488b1.json
new file mode 100644
index 000000000..6e61f1e41
--- /dev/null
+++ b/data/hfopenllm_v2/iFaz/llama32_3B_en_emo_v3/a0b71344-f3a8-4ad0-87c5-6393148488b1.json
@@ -0,0 +1,132 @@
+{
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+  "source_metadata": {
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+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+    },
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
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+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
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+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
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+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
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+        "max_score": 1.0
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+      "score_details": {
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+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/iRyanBell/ARC1-II/19afc23f-5849-4147-b240-9bb7ddea4d58.json b/data/hfopenllm_v2/iRyanBell/ARC1-II/19afc23f-5849-4147-b240-9bb7ddea4d58.json
deleted file mode 100644
index cc9c1b492..000000000
--- a/data/hfopenllm_v2/iRyanBell/ARC1-II/19afc23f-5849-4147-b240-9bb7ddea4d58.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "iRyanBell/ARC1-II",
-    "developer": "iRyanBell",
-    "inference_platform": "unknown",
-    "id": "iRyanBell/ARC1-II",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.17083560508340093
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.33817781029884353
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-    },
-    {
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-        "score_type": "continuous",
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-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.27181208053691275
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4912916666666667
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-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/iRyanBell/ARC1-II/821ff784-c48a-4623-9fb5-b77b7114b625.json b/data/hfopenllm_v2/iRyanBell/ARC1-II/821ff784-c48a-4623-9fb5-b77b7114b625.json
new file mode 100644
index 000000000..2ccabcdfe
--- /dev/null
+++ b/data/hfopenllm_v2/iRyanBell/ARC1-II/821ff784-c48a-4623-9fb5-b77b7114b625.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/iRyanBell_ARC1-II/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "ARC1-II",
+    "id": "iRyanBell/ARC1-II",
+    "developer": "iRyanBell",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1708
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3382
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0219
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2718
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4913
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1686
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/iRyanBell/ARC1/62f9b47d-2860-44b3-8abb-3d441f4bdeb4.json b/data/hfopenllm_v2/iRyanBell/ARC1/62f9b47d-2860-44b3-8abb-3d441f4bdeb4.json
deleted file mode 100644
index dd5dcc528..000000000
--- a/data/hfopenllm_v2/iRyanBell/ARC1/62f9b47d-2860-44b3-8abb-3d441f4bdeb4.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/iRyanBell_ARC1/1762652580.204204",
-  "retrieved_timestamp": "1762652580.204204",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "iRyanBell/ARC1",
-    "developer": "iRyanBell",
-    "inference_platform": "unknown",
-    "id": "iRyanBell/ARC1",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.441112913735555
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4902999658144703
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-    {
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-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.29446308724832215
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3990520833333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3371010638297872
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/iRyanBell/ARC1/ed251513-4807-4e31-bc8e-3ab0217ae4f3.json b/data/hfopenllm_v2/iRyanBell/ARC1/ed251513-4807-4e31-bc8e-3ab0217ae4f3.json
new file mode 100644
index 000000000..0ff922243
--- /dev/null
+++ b/data/hfopenllm_v2/iRyanBell/ARC1/ed251513-4807-4e31-bc8e-3ab0217ae4f3.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/iRyanBell_ARC1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "ARC1",
+    "id": "iRyanBell/ARC1",
+    "developer": "iRyanBell",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4411
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4903
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0687
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2945
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3991
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3371
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/ibivibiv/colossus_120b/e7fa3baa-07b4-4f10-aa9c-8424d8fea303.json b/data/hfopenllm_v2/ibivibiv/colossus_120b/e7fa3baa-07b4-4f10-aa9c-8424d8fea303.json
new file mode 100644
index 000000000..7022b74fb
--- /dev/null
+++ b/data/hfopenllm_v2/ibivibiv/colossus_120b/e7fa3baa-07b4-4f10-aa9c-8424d8fea303.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/ibivibiv_colossus_120b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "colossus_120b",
+    "id": "ibivibiv/colossus_120b",
+    "developer": "ibivibiv",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 117.749
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4276
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6061
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0566
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3087
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4733
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3961
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/ibivibiv/colossus_120b/f0bcf710-b1a8-4736-9fd3-6b0ea241155e.json b/data/hfopenllm_v2/ibivibiv/colossus_120b/f0bcf710-b1a8-4736-9fd3-6b0ea241155e.json
deleted file mode 100644
index 7a673cdd1..000000000
--- a/data/hfopenllm_v2/ibivibiv/colossus_120b/f0bcf710-b1a8-4736-9fd3-6b0ea241155e.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/ibivibiv_colossus_120b/1762652580.2048829",
-  "retrieved_timestamp": "1762652580.204884",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "ibivibiv/colossus_120b",
-    "developer": "ibivibiv",
-    "inference_platform": "unknown",
-    "id": "ibivibiv/colossus_120b",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 117.749
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42759877126025614
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6061408586494191
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.05664652567975831
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3087248322147651
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4733125
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3961103723404255
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/ibivibiv/multimaster-7b-v6/11dfd131-00bf-4561-a913-f1c0cb15bf9c.json b/data/hfopenllm_v2/ibivibiv/multimaster-7b-v6/11dfd131-00bf-4561-a913-f1c0cb15bf9c.json
new file mode 100644
index 000000000..6b86a8133
--- /dev/null
+++ b/data/hfopenllm_v2/ibivibiv/multimaster-7b-v6/11dfd131-00bf-4561-a913-f1c0cb15bf9c.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/ibivibiv_multimaster-7b-v6/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "multimaster-7b-v6",
+    "id": "ibivibiv/multimaster-7b-v6",
+    "developer": "ibivibiv",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "MixtralForCausalLM",
+      "params_billions": 35.428
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4473
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5194
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0559
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3037
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4396
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3095
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/ibivibiv/multimaster-7b-v6/7044a4d4-1c07-40ef-917c-d242b61d7877.json b/data/hfopenllm_v2/ibivibiv/multimaster-7b-v6/7044a4d4-1c07-40ef-917c-d242b61d7877.json
deleted file mode 100644
index 0121a7c6b..000000000
--- a/data/hfopenllm_v2/ibivibiv/multimaster-7b-v6/7044a4d4-1c07-40ef-917c-d242b61d7877.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/ibivibiv_multimaster-7b-v6/1762652580.205187",
-  "retrieved_timestamp": "1762652580.205188",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "ibivibiv/multimaster-7b-v6",
-    "developer": "ibivibiv",
-    "inference_platform": "unknown",
-    "id": "ibivibiv/multimaster-7b-v6",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "MixtralForCausalLM",
-      "params_billions": 35.428
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4473075883101283
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.519351871026721
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.055891238670694864
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3036912751677852
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.43957291666666665
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30950797872340424
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/ibm-granite/granite-3.0-1b-a400m-base/3ba34f38-2340-407f-a7b5-82749f8a0ee6.json b/data/hfopenllm_v2/ibm-granite/granite-3.0-1b-a400m-base/3ba34f38-2340-407f-a7b5-82749f8a0ee6.json
new file mode 100644
index 000000000..f51a2ca74
--- /dev/null
+++ b/data/hfopenllm_v2/ibm-granite/granite-3.0-1b-a400m-base/3ba34f38-2340-407f-a7b5-82749f8a0ee6.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/ibm-granite_granite-3.0-1b-a400m-base/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "granite-3.0-1b-a400m-base",
+    "id": "ibm-granite/granite-3.0-1b-a400m-base",
+    "developer": "ibm-granite",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "GraniteForCausalLM",
+      "params_billions": 1.335
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2404
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3221
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0264
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2475
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3367
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1152
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/ibm-granite/granite-3.0-1b-a400m-base/52e253ba-0291-4e78-b292-806cabe74697.json b/data/hfopenllm_v2/ibm-granite/granite-3.0-1b-a400m-base/52e253ba-0291-4e78-b292-806cabe74697.json
deleted file mode 100644
index 1f9dc06b0..000000000
--- a/data/hfopenllm_v2/ibm-granite/granite-3.0-1b-a400m-base/52e253ba-0291-4e78-b292-806cabe74697.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/ibm-granite_granite-3.0-1b-a400m-base/1762652580.205958",
-  "retrieved_timestamp": "1762652580.20596",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "ibm-granite/granite-3.0-1b-a400m-base",
-    "developer": "ibm-granite",
-    "inference_platform": "unknown",
-    "id": "ibm-granite/granite-3.0-1b-a400m-base",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "GraniteForCausalLM",
-      "params_billions": 1.335
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.24040324117785256
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3221205531032148
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.026435045317220542
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.24748322147651006
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3367291666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11519281914893617
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/ibm-granite/granite-3.0-1b-a400m-instruct/91b9649b-bdf6-4b15-a038-47edc2e79ef6.json b/data/hfopenllm_v2/ibm-granite/granite-3.0-1b-a400m-instruct/91b9649b-bdf6-4b15-a038-47edc2e79ef6.json
new file mode 100644
index 000000000..d041957dc
--- /dev/null
+++ b/data/hfopenllm_v2/ibm-granite/granite-3.0-1b-a400m-instruct/91b9649b-bdf6-4b15-a038-47edc2e79ef6.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/ibm-granite_granite-3.0-1b-a400m-instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "granite-3.0-1b-a400m-instruct",
+    "id": "ibm-granite/granite-3.0-1b-a400m-instruct",
+    "developer": "ibm-granite",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "GraniteForCausalLM",
+      "params_billions": 1.335
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3332
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3224
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0279
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2609
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3623
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1244
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/ibm-granite/granite-3.0-1b-a400m-instruct/afc49838-c7fc-40ed-841f-74b0bc3dd36e.json b/data/hfopenllm_v2/ibm-granite/granite-3.0-1b-a400m-instruct/afc49838-c7fc-40ed-841f-74b0bc3dd36e.json
deleted file mode 100644
index d0bb91ce9..000000000
--- a/data/hfopenllm_v2/ibm-granite/granite-3.0-1b-a400m-instruct/afc49838-c7fc-40ed-841f-74b0bc3dd36e.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/ibm-granite_granite-3.0-1b-a400m-instruct/1762652580.206321",
-  "retrieved_timestamp": "1762652580.206322",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "ibm-granite/granite-3.0-1b-a400m-instruct",
-    "developer": "ibm-granite",
-    "inference_platform": "unknown",
-    "id": "ibm-granite/granite-3.0-1b-a400m-instruct",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "GraniteForCausalLM",
-      "params_billions": 1.335
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.33315159332792543
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3223950988485842
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.027945619335347432
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
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diff --git a/data/hfopenllm_v2/ibm-granite/granite-3.0-2b-base/184f8ef6-7cb7-45f2-b983-70dc4503a968.json b/data/hfopenllm_v2/ibm-granite/granite-3.0-2b-base/184f8ef6-7cb7-45f2-b983-70dc4503a968.json
deleted file mode 100644
index 0b204f4c2..000000000
--- a/data/hfopenllm_v2/ibm-granite/granite-3.0-2b-base/184f8ef6-7cb7-45f2-b983-70dc4503a968.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/ibm-granite_granite-3.0-2b-base/1762652580.206552",
-  "retrieved_timestamp": "1762652580.206552",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
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-  "source_metadata": {
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
-    "name": "ibm-granite/granite-3.0-2b-base",
-    "developer": "ibm-granite",
-    "inference_platform": "unknown",
-    "id": "ibm-granite/granite-3.0-2b-base",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "GraniteForCausalLM",
-      "params_billions": 2.634
-    }
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-  "evaluation_results": [
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-      "evaluation_name": "IFEval",
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-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-        "max_score": 1
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-      "score_details": {
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-    {
-      "evaluation_name": "MATH Level 5",
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-        "lower_is_better": false,
-        "score_type": "continuous",
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-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3434270833333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/ibm-granite/granite-3.0-2b-base/24670e63-32e1-4c5d-82fe-0d0c45a4e165.json b/data/hfopenllm_v2/ibm-granite/granite-3.0-2b-base/24670e63-32e1-4c5d-82fe-0d0c45a4e165.json
new file mode 100644
index 000000000..875fbc380
--- /dev/null
+++ b/data/hfopenllm_v2/ibm-granite/granite-3.0-2b-base/24670e63-32e1-4c5d-82fe-0d0c45a4e165.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/ibm-granite_granite-3.0-2b-base/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "granite-3.0-2b-base",
+    "id": "ibm-granite/granite-3.0-2b-base",
+    "developer": "ibm-granite",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "GraniteForCausalLM",
+      "params_billions": 2.634
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3874
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4047
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0544
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2802
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3434
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2381
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/ibm-granite/granite-3.0-2b-instruct/198d1441-1d13-468a-a998-c8cf9f1e7a57.json b/data/hfopenllm_v2/ibm-granite/granite-3.0-2b-instruct/198d1441-1d13-468a-a998-c8cf9f1e7a57.json
new file mode 100644
index 000000000..3d240c282
--- /dev/null
+++ b/data/hfopenllm_v2/ibm-granite/granite-3.0-2b-instruct/198d1441-1d13-468a-a998-c8cf9f1e7a57.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/ibm-granite_granite-3.0-2b-instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "granite-3.0-2b-instruct",
+    "id": "ibm-granite/granite-3.0-2b-instruct",
+    "developer": "ibm-granite",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "GraniteForCausalLM",
+      "params_billions": 2.634
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.514
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4412
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0921
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2995
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3515
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2814
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/ibm-granite/granite-3.0-2b-instruct/ec853cc1-7c48-4334-9ff6-d9669750570b.json b/data/hfopenllm_v2/ibm-granite/granite-3.0-2b-instruct/ec853cc1-7c48-4334-9ff6-d9669750570b.json
deleted file mode 100644
index 9486af183..000000000
--- a/data/hfopenllm_v2/ibm-granite/granite-3.0-2b-instruct/ec853cc1-7c48-4334-9ff6-d9669750570b.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/ibm-granite_granite-3.0-2b-instruct/1762652580.206777",
-  "retrieved_timestamp": "1762652580.206777",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "ibm-granite/granite-3.0-2b-instruct",
-    "developer": "ibm-granite",
-    "inference_platform": "unknown",
-    "id": "ibm-granite/granite-3.0-2b-instruct",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "GraniteForCausalLM",
-      "params_billions": 2.634
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    {
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-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.29949664429530204
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.35148958333333336
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2814162234042553
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/ibm-granite/granite-3.0-3b-a800m-base/e9eb1499-835c-4a70-b531-4be5a9718c34.json b/data/hfopenllm_v2/ibm-granite/granite-3.0-3b-a800m-base/e9eb1499-835c-4a70-b531-4be5a9718c34.json
new file mode 100644
index 000000000..226473a3b
--- /dev/null
+++ b/data/hfopenllm_v2/ibm-granite/granite-3.0-3b-a800m-base/e9eb1499-835c-4a70-b531-4be5a9718c34.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/ibm-granite_granite-3.0-3b-a800m-base/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "granite-3.0-3b-a800m-base",
+    "id": "ibm-granite/granite-3.0-3b-a800m-base",
+    "developer": "ibm-granite",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "GraniteForCausalLM",
+      "params_billions": 3.374
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2732
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3667
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0483
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2517
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.342
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1891
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/ibm-granite/granite-3.0-3b-a800m-base/f917bdff-4be5-440b-8e62-bb9f7b0dd0f5.json b/data/hfopenllm_v2/ibm-granite/granite-3.0-3b-a800m-base/f917bdff-4be5-440b-8e62-bb9f7b0dd0f5.json
deleted file mode 100644
index e1fe1a20c..000000000
--- a/data/hfopenllm_v2/ibm-granite/granite-3.0-3b-a800m-base/f917bdff-4be5-440b-8e62-bb9f7b0dd0f5.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/ibm-granite_granite-3.0-3b-a800m-base/1762652580.20698",
-  "retrieved_timestamp": "1762652580.20698",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "ibm-granite/granite-3.0-3b-a800m-base",
-    "developer": "ibm-granite",
-    "inference_platform": "unknown",
-    "id": "ibm-granite/granite-3.0-3b-a800m-base",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "GraniteForCausalLM",
-      "params_billions": 3.374
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2732261510569733
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.36674974971308566
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.04833836858006042
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2516778523489933
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.34196875
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.18907912234042554
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/ibm-granite/granite-3.0-3b-a800m-instruct/7c92caf5-df83-4c8e-ab85-f99c7ac43f63.json b/data/hfopenllm_v2/ibm-granite/granite-3.0-3b-a800m-instruct/7c92caf5-df83-4c8e-ab85-f99c7ac43f63.json
deleted file mode 100644
index 806fb5851..000000000
--- a/data/hfopenllm_v2/ibm-granite/granite-3.0-3b-a800m-instruct/7c92caf5-df83-4c8e-ab85-f99c7ac43f63.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/ibm-granite_granite-3.0-3b-a800m-instruct/1762652580.2071838",
-  "retrieved_timestamp": "1762652580.2071848",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "ibm-granite/granite-3.0-3b-a800m-instruct",
-    "developer": "ibm-granite",
-    "inference_platform": "unknown",
-    "id": "ibm-granite/granite-3.0-3b-a800m-instruct",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "GraniteForCausalLM",
-      "params_billions": 3.374
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4298217618142085
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37527805291733446
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.0702416918429003
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.28104026845637586
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3486666666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.21517619680851063
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/ibm-granite/granite-3.0-3b-a800m-instruct/b1fd95ad-767d-4c13-a936-00b08c74ca3d.json b/data/hfopenllm_v2/ibm-granite/granite-3.0-3b-a800m-instruct/b1fd95ad-767d-4c13-a936-00b08c74ca3d.json
new file mode 100644
index 000000000..b7c39baf2
--- /dev/null
+++ b/data/hfopenllm_v2/ibm-granite/granite-3.0-3b-a800m-instruct/b1fd95ad-767d-4c13-a936-00b08c74ca3d.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/ibm-granite_granite-3.0-3b-a800m-instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "granite-3.0-3b-a800m-instruct",
+    "id": "ibm-granite/granite-3.0-3b-a800m-instruct",
+    "developer": "ibm-granite",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "GraniteForCausalLM",
+      "params_billions": 3.374
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4298
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3753
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0702
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.281
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3487
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2152
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/ibm-granite/granite-3.0-8b-base/b7b71327-323b-4b7c-92a1-426911bed479.json b/data/hfopenllm_v2/ibm-granite/granite-3.0-8b-base/b7b71327-323b-4b7c-92a1-426911bed479.json
deleted file mode 100644
index 0e7c7389f..000000000
--- a/data/hfopenllm_v2/ibm-granite/granite-3.0-8b-base/b7b71327-323b-4b7c-92a1-426911bed479.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/ibm-granite_granite-3.0-8b-base/1762652580.207386",
-  "retrieved_timestamp": "1762652580.207386",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "ibm-granite/granite-3.0-8b-base",
-    "developer": "ibm-granite",
-    "inference_platform": "unknown",
-    "id": "ibm-granite/granite-3.0-8b-base",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "GraniteForCausalLM",
-      "params_billions": 8.171
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4583482936386566
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4943760637365333
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.10120845921450151
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.32550335570469796
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.40813541666666664
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3312832446808511
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/ibm-granite/granite-3.0-8b-base/f87bd357-535e-4450-b01d-b41e1b7571e0.json b/data/hfopenllm_v2/ibm-granite/granite-3.0-8b-base/f87bd357-535e-4450-b01d-b41e1b7571e0.json
new file mode 100644
index 000000000..fba09f2d6
--- /dev/null
+++ b/data/hfopenllm_v2/ibm-granite/granite-3.0-8b-base/f87bd357-535e-4450-b01d-b41e1b7571e0.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/ibm-granite_granite-3.0-8b-base/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "granite-3.0-8b-base",
+    "id": "ibm-granite/granite-3.0-8b-base",
+    "developer": "ibm-granite",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "GraniteForCausalLM",
+      "params_billions": 8.171
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4583
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4944
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1012
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3255
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4081
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3313
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/ibm-granite/granite-3.0-8b-instruct/300fd27e-4dce-441f-91da-f38bd14ffe5e.json b/data/hfopenllm_v2/ibm-granite/granite-3.0-8b-instruct/300fd27e-4dce-441f-91da-f38bd14ffe5e.json
new file mode 100644
index 000000000..b5c6943a0
--- /dev/null
+++ b/data/hfopenllm_v2/ibm-granite/granite-3.0-8b-instruct/300fd27e-4dce-441f-91da-f38bd14ffe5e.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/ibm-granite_granite-3.0-8b-instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "granite-3.0-8b-instruct",
+    "id": "ibm-granite/granite-3.0-8b-instruct",
+    "developer": "ibm-granite",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "GraniteForCausalLM",
+      "params_billions": 8.171
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.531
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5192
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.142
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3322
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3901
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3457
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/ibm-granite/granite-3.0-8b-instruct/d4dc4d78-33a3-428c-9490-382dd0c19c08.json b/data/hfopenllm_v2/ibm-granite/granite-3.0-8b-instruct/d4dc4d78-33a3-428c-9490-382dd0c19c08.json
deleted file mode 100644
index f3ef5212a..000000000
--- a/data/hfopenllm_v2/ibm-granite/granite-3.0-8b-instruct/d4dc4d78-33a3-428c-9490-382dd0c19c08.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/ibm-granite_granite-3.0-8b-instruct/1762652580.207594",
-  "retrieved_timestamp": "1762652580.207595",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "ibm-granite/granite-3.0-8b-instruct",
-    "developer": "ibm-granite",
-    "inference_platform": "unknown",
-    "id": "ibm-granite/granite-3.0-8b-instruct",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "GraniteForCausalLM",
-      "params_billions": 8.171
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5309633993359841
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5191874631840226
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1419939577039275
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.33221476510067116
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3900625
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.34566156914893614
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/ibm-granite/granite-3.1-1b-a400m-base/17192714-a653-428d-a7c7-06dd41db77fa.json b/data/hfopenllm_v2/ibm-granite/granite-3.1-1b-a400m-base/17192714-a653-428d-a7c7-06dd41db77fa.json
deleted file mode 100644
index 83cc7b873..000000000
--- a/data/hfopenllm_v2/ibm-granite/granite-3.1-1b-a400m-base/17192714-a653-428d-a7c7-06dd41db77fa.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/ibm-granite_granite-3.1-1b-a400m-base/1762652580.207968",
-  "retrieved_timestamp": "1762652580.2079701",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "ibm-granite/granite-3.1-1b-a400m-base",
-    "developer": "ibm-granite",
-    "inference_platform": "unknown",
-    "id": "ibm-granite/granite-3.1-1b-a400m-base",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "GraniteMoeForCausalLM",
-      "params_billions": 1.335
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2519437315212525
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3298699546506724
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.027190332326283987
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2516778523489933
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3500625
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11394614361702128
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/ibm-granite/granite-3.1-1b-a400m-base/1fd9a2e5-856f-4303-8ac1-611311f3e7b5.json b/data/hfopenllm_v2/ibm-granite/granite-3.1-1b-a400m-base/1fd9a2e5-856f-4303-8ac1-611311f3e7b5.json
new file mode 100644
index 000000000..81e9a2dd8
--- /dev/null
+++ b/data/hfopenllm_v2/ibm-granite/granite-3.1-1b-a400m-base/1fd9a2e5-856f-4303-8ac1-611311f3e7b5.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/ibm-granite_granite-3.1-1b-a400m-base/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "granite-3.1-1b-a400m-base",
+    "id": "ibm-granite/granite-3.1-1b-a400m-base",
+    "developer": "ibm-granite",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "GraniteMoeForCausalLM",
+      "params_billions": 1.335
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2519
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3299
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0272
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2517
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3501
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1139
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/ibm-granite/granite-3.1-1b-a400m-instruct/4c34d5c6-af1b-4519-8d08-67bd837e9b97.json b/data/hfopenllm_v2/ibm-granite/granite-3.1-1b-a400m-instruct/4c34d5c6-af1b-4519-8d08-67bd837e9b97.json
new file mode 100644
index 000000000..18f994f0f
--- /dev/null
+++ b/data/hfopenllm_v2/ibm-granite/granite-3.1-1b-a400m-instruct/4c34d5c6-af1b-4519-8d08-67bd837e9b97.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/ibm-granite_granite-3.1-1b-a400m-instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "granite-3.1-1b-a400m-instruct",
+    "id": "ibm-granite/granite-3.1-1b-a400m-instruct",
+    "developer": "ibm-granite",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "GraniteMoeForCausalLM",
+      "params_billions": 1.335
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4686
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.328
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0453
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2399
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3302
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1217
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/ibm-granite/granite-3.1-1b-a400m-instruct/8167695b-db96-4687-91b8-0af55e67a606.json b/data/hfopenllm_v2/ibm-granite/granite-3.1-1b-a400m-instruct/8167695b-db96-4687-91b8-0af55e67a606.json
deleted file mode 100644
index d4008fc1d..000000000
--- a/data/hfopenllm_v2/ibm-granite/granite-3.1-1b-a400m-instruct/8167695b-db96-4687-91b8-0af55e67a606.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/ibm-granite_granite-3.1-1b-a400m-instruct/1762652580.208256",
-  "retrieved_timestamp": "1762652580.208257",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "ibm-granite/granite-3.1-1b-a400m-instruct",
-    "developer": "ibm-granite",
-    "inference_platform": "unknown",
-    "id": "ibm-granite/granite-3.1-1b-a400m-instruct",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "GraniteMoeForCausalLM",
-      "params_billions": 1.335
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.46863987553025976
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3279834385375178
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.045317220543806644
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-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
-        "score": 0.23993288590604026
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-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.12167553191489362
-      }
-    }
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-}
diff --git a/data/hfopenllm_v2/ibm-granite/granite-3.1-2b-base/971e6eba-61ff-42e6-9740-1895080ff94f.json b/data/hfopenllm_v2/ibm-granite/granite-3.1-2b-base/971e6eba-61ff-42e6-9740-1895080ff94f.json
deleted file mode 100644
index 00b447842..000000000
--- a/data/hfopenllm_v2/ibm-granite/granite-3.1-2b-base/971e6eba-61ff-42e6-9740-1895080ff94f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/ibm-granite_granite-3.1-2b-base/1762652580.208491",
-  "retrieved_timestamp": "1762652580.208492",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "ibm-granite/granite-3.1-2b-base",
-    "developer": "ibm-granite",
-    "inference_platform": "unknown",
-    "id": "ibm-granite/granite-3.1-2b-base",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "GraniteForCausalLM",
-      "params_billions": 2.534
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.35216115462528313
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4047188028918873
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.05664652567975831
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.27768456375838924
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3485729166666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.22506648936170212
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/ibm-granite/granite-3.1-2b-base/ddc27df7-1c4c-4563-92b2-5a39380423a8.json b/data/hfopenllm_v2/ibm-granite/granite-3.1-2b-base/ddc27df7-1c4c-4563-92b2-5a39380423a8.json
new file mode 100644
index 000000000..d36351d16
--- /dev/null
+++ b/data/hfopenllm_v2/ibm-granite/granite-3.1-2b-base/ddc27df7-1c4c-4563-92b2-5a39380423a8.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/ibm-granite_granite-3.1-2b-base/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "granite-3.1-2b-base",
+    "id": "ibm-granite/granite-3.1-2b-base",
+    "developer": "ibm-granite",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "GraniteForCausalLM",
+      "params_billions": 2.534
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3522
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4047
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0566
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2777
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3486
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2251
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/ibm-granite/granite-3.1-2b-instruct/3e606ef8-9caa-43d4-81d6-8eae9936ab4c.json b/data/hfopenllm_v2/ibm-granite/granite-3.1-2b-instruct/3e606ef8-9caa-43d4-81d6-8eae9936ab4c.json
new file mode 100644
index 000000000..8f8fd088d
--- /dev/null
+++ b/data/hfopenllm_v2/ibm-granite/granite-3.1-2b-instruct/3e606ef8-9caa-43d4-81d6-8eae9936ab4c.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/ibm-granite_granite-3.1-2b-instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "granite-3.1-2b-instruct",
+    "id": "ibm-granite/granite-3.1-2b-instruct",
+    "developer": "ibm-granite",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "GraniteForCausalLM",
+      "params_billions": 2.534
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6286
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4409
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1526
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2894
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3605
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2819
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/ibm-granite/granite-3.1-2b-instruct/fcdf14a1-900f-4856-aac6-8ed47910f882.json b/data/hfopenllm_v2/ibm-granite/granite-3.1-2b-instruct/fcdf14a1-900f-4856-aac6-8ed47910f882.json
deleted file mode 100644
index fc17e9519..000000000
--- a/data/hfopenllm_v2/ibm-granite/granite-3.1-2b-instruct/fcdf14a1-900f-4856-aac6-8ed47910f882.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/ibm-granite_granite-3.1-2b-instruct/1762652580.2087219",
-  "retrieved_timestamp": "1762652580.2087228",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "ibm-granite/granite-3.1-2b-instruct",
-    "developer": "ibm-granite",
-    "inference_platform": "unknown",
-    "id": "ibm-granite/granite-3.1-2b-instruct",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "GraniteForCausalLM",
-      "params_billions": 2.534
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.628557782240012
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.44089858558056544
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.15256797583081572
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.28942953020134227
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3605416666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.28191489361702127
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/ibm-granite/granite-3.1-3b-a800m-base/8930e3f9-e0b8-4fb7-91e2-ee34b17cf1eb.json b/data/hfopenllm_v2/ibm-granite/granite-3.1-3b-a800m-base/8930e3f9-e0b8-4fb7-91e2-ee34b17cf1eb.json
deleted file mode 100644
index bc40f0874..000000000
--- a/data/hfopenllm_v2/ibm-granite/granite-3.1-3b-a800m-base/8930e3f9-e0b8-4fb7-91e2-ee34b17cf1eb.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/ibm-granite_granite-3.1-3b-a800m-base/1762652580.20895",
-  "retrieved_timestamp": "1762652580.208951",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "ibm-granite/granite-3.1-3b-a800m-base",
-    "developer": "ibm-granite",
-    "inference_platform": "unknown",
-    "id": "ibm-granite/granite-3.1-3b-a800m-base",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "GraniteMoeForCausalLM",
-      "params_billions": 3.299
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2996294276962903
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.362822992347764
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.045317220543806644
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.27768456375838924
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3275208333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1792719414893617
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/ibm-granite/granite-3.1-3b-a800m-base/b9053559-3b90-4de0-981a-dbb49db38eb5.json b/data/hfopenllm_v2/ibm-granite/granite-3.1-3b-a800m-base/b9053559-3b90-4de0-981a-dbb49db38eb5.json
new file mode 100644
index 000000000..d42475062
--- /dev/null
+++ b/data/hfopenllm_v2/ibm-granite/granite-3.1-3b-a800m-base/b9053559-3b90-4de0-981a-dbb49db38eb5.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/ibm-granite_granite-3.1-3b-a800m-base/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "granite-3.1-3b-a800m-base",
+    "id": "ibm-granite/granite-3.1-3b-a800m-base",
+    "developer": "ibm-granite",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "GraniteMoeForCausalLM",
+      "params_billions": 3.299
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2996
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3628
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0453
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2777
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3275
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1793
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/ibm-granite/granite-3.1-3b-a800m-instruct/1e0c27fc-8111-4325-8e61-c24c2f8124f7.json b/data/hfopenllm_v2/ibm-granite/granite-3.1-3b-a800m-instruct/1e0c27fc-8111-4325-8e61-c24c2f8124f7.json
deleted file mode 100644
index de0d59eab..000000000
--- a/data/hfopenllm_v2/ibm-granite/granite-3.1-3b-a800m-instruct/1e0c27fc-8111-4325-8e61-c24c2f8124f7.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/ibm-granite_granite-3.1-3b-a800m-instruct/1762652580.2092001",
-  "retrieved_timestamp": "1762652580.2092009",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "ibm-granite/granite-3.1-3b-a800m-instruct",
-    "developer": "ibm-granite",
-    "inference_platform": "unknown",
-    "id": "ibm-granite/granite-3.1-3b-a800m-instruct",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "GraniteMoeForCausalLM",
-      "params_billions": 3.299
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5516462984880118
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4009494521947192
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11404833836858005
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.28859060402684567
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3486354166666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.21476063829787234
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/ibm-granite/granite-3.1-3b-a800m-instruct/cea89bc6-b1a1-4b67-a136-45e097563a5b.json b/data/hfopenllm_v2/ibm-granite/granite-3.1-3b-a800m-instruct/cea89bc6-b1a1-4b67-a136-45e097563a5b.json
new file mode 100644
index 000000000..cd1998b51
--- /dev/null
+++ b/data/hfopenllm_v2/ibm-granite/granite-3.1-3b-a800m-instruct/cea89bc6-b1a1-4b67-a136-45e097563a5b.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/ibm-granite_granite-3.1-3b-a800m-instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "granite-3.1-3b-a800m-instruct",
+    "id": "ibm-granite/granite-3.1-3b-a800m-instruct",
+    "developer": "ibm-granite",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "GraniteMoeForCausalLM",
+      "params_billions": 3.299
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5516
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4009
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.114
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2886
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3486
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2148
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/ibm-granite/granite-3.1-8b-base/10cbee10-0344-4da0-a26a-4298fd8f4d11.json b/data/hfopenllm_v2/ibm-granite/granite-3.1-8b-base/10cbee10-0344-4da0-a26a-4298fd8f4d11.json
deleted file mode 100644
index 854452e59..000000000
--- a/data/hfopenllm_v2/ibm-granite/granite-3.1-8b-base/10cbee10-0344-4da0-a26a-4298fd8f4d11.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/ibm-granite_granite-3.1-8b-base/1762652580.209538",
-  "retrieved_timestamp": "1762652580.2095392",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "ibm-granite/granite-3.1-8b-base",
-    "developer": "ibm-granite",
-    "inference_platform": "unknown",
-    "id": "ibm-granite/granite-3.1-8b-base",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "GraniteForCausalLM",
-      "params_billions": 8.171
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4221033524381973
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4776956677111636
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.09441087613293052
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3213087248322148
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3922291666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3232214095744681
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/ibm-granite/granite-3.1-8b-base/5eb16113-7d0d-47a0-91d8-ec7dab35efdd.json b/data/hfopenllm_v2/ibm-granite/granite-3.1-8b-base/5eb16113-7d0d-47a0-91d8-ec7dab35efdd.json
new file mode 100644
index 000000000..0a47fdba2
--- /dev/null
+++ b/data/hfopenllm_v2/ibm-granite/granite-3.1-8b-base/5eb16113-7d0d-47a0-91d8-ec7dab35efdd.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/ibm-granite_granite-3.1-8b-base/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "granite-3.1-8b-base",
+    "id": "ibm-granite/granite-3.1-8b-base",
+    "developer": "ibm-granite",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "GraniteForCausalLM",
+      "params_billions": 8.171
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4221
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4777
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0944
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3213
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3922
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3232
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/ibm-granite/granite-3.1-8b-instruct/45aa6545-d20a-4dfb-a8a6-01f2fd34c9f5.json b/data/hfopenllm_v2/ibm-granite/granite-3.1-8b-instruct/45aa6545-d20a-4dfb-a8a6-01f2fd34c9f5.json
new file mode 100644
index 000000000..5014bf7fd
--- /dev/null
+++ b/data/hfopenllm_v2/ibm-granite/granite-3.1-8b-instruct/45aa6545-d20a-4dfb-a8a6-01f2fd34c9f5.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/ibm-granite_granite-3.1-8b-instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "granite-3.1-8b-instruct",
+    "id": "ibm-granite/granite-3.1-8b-instruct",
+    "developer": "ibm-granite",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "GraniteForCausalLM",
+      "params_billions": 8.171
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7208
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5364
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2198
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3121
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4707
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3537
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/ibm-granite/granite-3.1-8b-instruct/6d6b2e81-8b90-4703-aafb-40de92b3ede3.json b/data/hfopenllm_v2/ibm-granite/granite-3.1-8b-instruct/6d6b2e81-8b90-4703-aafb-40de92b3ede3.json
deleted file mode 100644
index fea1f257a..000000000
--- a/data/hfopenllm_v2/ibm-granite/granite-3.1-8b-instruct/6d6b2e81-8b90-4703-aafb-40de92b3ede3.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/ibm-granite_granite-3.1-8b-instruct/1762652580.2098079",
-  "retrieved_timestamp": "1762652580.2098088",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "ibm-granite/granite-3.1-8b-instruct",
-    "developer": "ibm-granite",
-    "inference_platform": "unknown",
-    "id": "ibm-granite/granite-3.1-8b-instruct",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "GraniteForCausalLM",
-      "params_billions": 8.171
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7207564816908026
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5364460433816018
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.21978851963746224
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.31208053691275167
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.47070833333333334
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3537234042553192
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/ibm-granite/granite-3.2-2b-instruct/39fd9dc4-88e4-4b52-8527-c1ea692d8ca1.json b/data/hfopenllm_v2/ibm-granite/granite-3.2-2b-instruct/39fd9dc4-88e4-4b52-8527-c1ea692d8ca1.json
deleted file mode 100644
index 5b221cd2a..000000000
--- a/data/hfopenllm_v2/ibm-granite/granite-3.2-2b-instruct/39fd9dc4-88e4-4b52-8527-c1ea692d8ca1.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/ibm-granite_granite-3.2-2b-instruct/1762652580.2100549",
-  "retrieved_timestamp": "1762652580.2100558",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "ibm-granite/granite-3.2-2b-instruct",
-    "developer": "ibm-granite",
-    "inference_platform": "unknown",
-    "id": "ibm-granite/granite-3.2-2b-instruct",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "GraniteForCausalLM",
-      "params_billions": 2.534
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6151688630611223
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.43872707491212865
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.14425981873111782
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2902684563758389
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3645729166666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2783410904255319
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/ibm-granite/granite-3.2-2b-instruct/c94079d1-d8b1-4198-8129-8c5a11c310ca.json b/data/hfopenllm_v2/ibm-granite/granite-3.2-2b-instruct/c94079d1-d8b1-4198-8129-8c5a11c310ca.json
new file mode 100644
index 000000000..b97bdbfbb
--- /dev/null
+++ b/data/hfopenllm_v2/ibm-granite/granite-3.2-2b-instruct/c94079d1-d8b1-4198-8129-8c5a11c310ca.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/ibm-granite_granite-3.2-2b-instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "granite-3.2-2b-instruct",
+    "id": "ibm-granite/granite-3.2-2b-instruct",
+    "developer": "ibm-granite",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "GraniteForCausalLM",
+      "params_billions": 2.534
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6152
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4387
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1443
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2903
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3646
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2783
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/ibm-granite/granite-3.2-8b-instruct/982accb5-ea5c-45bc-8cdd-08edf5e543a1.json b/data/hfopenllm_v2/ibm-granite/granite-3.2-8b-instruct/982accb5-ea5c-45bc-8cdd-08edf5e543a1.json
deleted file mode 100644
index db3c6057b..000000000
--- a/data/hfopenllm_v2/ibm-granite/granite-3.2-8b-instruct/982accb5-ea5c-45bc-8cdd-08edf5e543a1.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/ibm-granite_granite-3.2-8b-instruct/1762652580.210291",
-  "retrieved_timestamp": "1762652580.2102919",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "ibm-granite/granite-3.2-8b-instruct",
-    "developer": "ibm-granite",
-    "inference_platform": "unknown",
-    "id": "ibm-granite/granite-3.2-8b-instruct",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "GraniteForCausalLM",
-      "params_billions": 8.171
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7274509412802475
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5401759656246116
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.23791540785498488
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-        "score": 0.31543624161073824
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4561979166666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.35123005319148937
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/ibm-granite/granite-3.2-8b-instruct/cb45306a-096c-4ed5-a028-6d720b26afe9.json b/data/hfopenllm_v2/ibm-granite/granite-3.2-8b-instruct/cb45306a-096c-4ed5-a028-6d720b26afe9.json
new file mode 100644
index 000000000..15fc669a2
--- /dev/null
+++ b/data/hfopenllm_v2/ibm-granite/granite-3.2-8b-instruct/cb45306a-096c-4ed5-a028-6d720b26afe9.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/ibm-granite_granite-3.2-8b-instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "granite-3.2-8b-instruct",
+    "id": "ibm-granite/granite-3.2-8b-instruct",
+    "developer": "ibm-granite",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "GraniteForCausalLM",
+      "params_billions": 8.171
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7275
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5402
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2379
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3154
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4562
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3512
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/ibm-granite/granite-7b-base/2d21a773-8f72-4b7d-ba94-80867127c54a.json b/data/hfopenllm_v2/ibm-granite/granite-7b-base/2d21a773-8f72-4b7d-ba94-80867127c54a.json
deleted file mode 100644
index 2ab0c37cc..000000000
--- a/data/hfopenllm_v2/ibm-granite/granite-7b-base/2d21a773-8f72-4b7d-ba94-80867127c54a.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/ibm-granite_granite-7b-base/1762652580.2106082",
-  "retrieved_timestamp": "1762652580.210609",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "ibm-granite/granite-7b-base",
-    "developer": "ibm-granite",
-    "inference_platform": "unknown",
-    "id": "ibm-granite/granite-7b-base",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 6.738
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.24142719096441884
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.34804372716106186
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.015861027190332326
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.24580536912751677
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.35548958333333336
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.18342752659574468
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/ibm-granite/granite-7b-base/f301908e-474b-4ba2-a873-610ca1b6c2bd.json b/data/hfopenllm_v2/ibm-granite/granite-7b-base/f301908e-474b-4ba2-a873-610ca1b6c2bd.json
new file mode 100644
index 000000000..678678ab3
--- /dev/null
+++ b/data/hfopenllm_v2/ibm-granite/granite-7b-base/f301908e-474b-4ba2-a873-610ca1b6c2bd.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/ibm-granite_granite-7b-base/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "granite-7b-base",
+    "id": "ibm-granite/granite-7b-base",
+    "developer": "ibm-granite",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 6.738
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2414
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.348
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0159
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2458
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3555
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1834
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/ibm-granite/granite-7b-instruct/06f5865d-a62a-48da-b33f-486fe29e3685.json b/data/hfopenllm_v2/ibm-granite/granite-7b-instruct/06f5865d-a62a-48da-b33f-486fe29e3685.json
new file mode 100644
index 000000000..d82e7bb12
--- /dev/null
+++ b/data/hfopenllm_v2/ibm-granite/granite-7b-instruct/06f5865d-a62a-48da-b33f-486fe29e3685.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/ibm-granite_granite-7b-instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "granite-7b-instruct",
+    "id": "ibm-granite/granite-7b-instruct",
+    "developer": "ibm-granite",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 6.738
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2972
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3723
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0204
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2852
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.402
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2286
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/ibm-granite/granite-7b-instruct/509f5b3a-6110-4757-a313-80181ecd3228.json b/data/hfopenllm_v2/ibm-granite/granite-7b-instruct/509f5b3a-6110-4757-a313-80181ecd3228.json
deleted file mode 100644
index c2ab15bb4..000000000
--- a/data/hfopenllm_v2/ibm-granite/granite-7b-instruct/509f5b3a-6110-4757-a313-80181ecd3228.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/ibm-granite_granite-7b-instruct/1762652580.2108219",
-  "retrieved_timestamp": "1762652580.2108219",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "ibm-granite/granite-7b-instruct",
-    "developer": "ibm-granite",
-    "inference_platform": "unknown",
-    "id": "ibm-granite/granite-7b-instruct",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 6.738
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2972313461615181
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37229529603269523
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.02039274924471299
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.28523489932885904
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.40199999999999997
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2286402925531915
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/ibm/PowerLM-3b/4f952c51-91dc-446e-bda1-43ed66e1ca3e.json b/data/hfopenllm_v2/ibm/PowerLM-3b/4f952c51-91dc-446e-bda1-43ed66e1ca3e.json
new file mode 100644
index 000000000..fb5d9a315
--- /dev/null
+++ b/data/hfopenllm_v2/ibm/PowerLM-3b/4f952c51-91dc-446e-bda1-43ed66e1ca3e.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/ibm_PowerLM-3b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "PowerLM-3b",
+    "id": "ibm/PowerLM-3b",
+    "developer": "ibm",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "GraniteForCausalLM",
+      "params_billions": 3.512
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3321
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3679
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0363
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2752
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3563
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2016
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/ibm/PowerLM-3b/f1eb3ba0-225e-49d5-9509-422702927c9f.json b/data/hfopenllm_v2/ibm/PowerLM-3b/f1eb3ba0-225e-49d5-9509-422702927c9f.json
deleted file mode 100644
index ae64b452c..000000000
--- a/data/hfopenllm_v2/ibm/PowerLM-3b/f1eb3ba0-225e-49d5-9509-422702927c9f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/ibm_PowerLM-3b/1762652580.205445",
-  "retrieved_timestamp": "1762652580.205446",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "ibm/PowerLM-3b",
-    "developer": "ibm",
-    "inference_platform": "unknown",
-    "id": "ibm/PowerLM-3b",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "GraniteForCausalLM",
-      "params_billions": 3.512
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.33212764354135915
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3679456724439114
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.03625377643504532
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2751677852348993
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3562916666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.20162898936170212
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/ibm/merlinite-7b/7fdbc273-200d-4085-8a03-8f56cde4f2fc.json b/data/hfopenllm_v2/ibm/merlinite-7b/7fdbc273-200d-4085-8a03-8f56cde4f2fc.json
deleted file mode 100644
index c864a9a7f..000000000
--- a/data/hfopenllm_v2/ibm/merlinite-7b/7fdbc273-200d-4085-8a03-8f56cde4f2fc.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/ibm_merlinite-7b/1762652580.2057128",
-  "retrieved_timestamp": "1762652580.205714",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "ibm/merlinite-7b",
-    "developer": "ibm",
-    "inference_platform": "unknown",
-    "id": "ibm/merlinite-7b",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2498703440205322
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.50071326118705
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.02416918429003021
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.29697986577181207
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.44115624999999997
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3068484042553192
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/ibm/merlinite-7b/dcba3a6f-8f4f-49f6-af74-541de16be435.json b/data/hfopenllm_v2/ibm/merlinite-7b/dcba3a6f-8f4f-49f6-af74-541de16be435.json
new file mode 100644
index 000000000..240a78e34
--- /dev/null
+++ b/data/hfopenllm_v2/ibm/merlinite-7b/dcba3a6f-8f4f-49f6-af74-541de16be435.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/ibm_merlinite-7b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "merlinite-7b",
+    "id": "ibm/merlinite-7b",
+    "developer": "ibm",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2499
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5007
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0242
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.297
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4412
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3068
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/icefog72/Ice0.15-02.10-RP/20c0d1f9-24b8-4993-82f1-d9889c18c56a.json b/data/hfopenllm_v2/icefog72/Ice0.15-02.10-RP/20c0d1f9-24b8-4993-82f1-d9889c18c56a.json
deleted file mode 100644
index 2aa0fa851..000000000
--- a/data/hfopenllm_v2/icefog72/Ice0.15-02.10-RP/20c0d1f9-24b8-4993-82f1-d9889c18c56a.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/icefog72_Ice0.15-02.10-RP/1762652580.211034",
-  "retrieved_timestamp": "1762652580.211034",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "icefog72/Ice0.15-02.10-RP",
-    "developer": "icefog72",
-    "inference_platform": "unknown",
-    "id": "icefog72/Ice0.15-02.10-RP",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5343355629729118
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4976384736188401
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.05740181268882175
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.27768456375838924
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.43197916666666664
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30659906914893614
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/icefog72/Ice0.15-02.10-RP/b5d39bcb-dab4-4880-9cb1-68dbd20a3ce5.json b/data/hfopenllm_v2/icefog72/Ice0.15-02.10-RP/b5d39bcb-dab4-4880-9cb1-68dbd20a3ce5.json
new file mode 100644
index 000000000..920868959
--- /dev/null
+++ b/data/hfopenllm_v2/icefog72/Ice0.15-02.10-RP/b5d39bcb-dab4-4880-9cb1-68dbd20a3ce5.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/icefog72_Ice0.15-02.10-RP/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Ice0.15-02.10-RP",
+    "id": "icefog72/Ice0.15-02.10-RP",
+    "developer": "icefog72",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5343
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4976
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0574
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2777
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.432
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3066
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/icefog72/Ice0.16-02.10-RP/1e597e9b-4e75-4981-842b-dad6f1c15ed7.json b/data/hfopenllm_v2/icefog72/Ice0.16-02.10-RP/1e597e9b-4e75-4981-842b-dad6f1c15ed7.json
new file mode 100644
index 000000000..6d89ee60d
--- /dev/null
+++ b/data/hfopenllm_v2/icefog72/Ice0.16-02.10-RP/1e597e9b-4e75-4981-842b-dad6f1c15ed7.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/icefog72_Ice0.16-02.10-RP/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Ice0.16-02.10-RP",
+    "id": "icefog72/Ice0.16-02.10-RP",
+    "developer": "icefog72",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5069
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4946
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0589
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2794
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4334
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3068
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/icefog72/Ice0.16-02.10-RP/824cb85d-e7a0-421a-994b-c0b178ab8e56.json b/data/hfopenllm_v2/icefog72/Ice0.16-02.10-RP/824cb85d-e7a0-421a-994b-c0b178ab8e56.json
deleted file mode 100644
index 2b60f1a81..000000000
--- a/data/hfopenllm_v2/icefog72/Ice0.16-02.10-RP/824cb85d-e7a0-421a-994b-c0b178ab8e56.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/icefog72_Ice0.16-02.10-RP/1762652580.211284",
-  "retrieved_timestamp": "1762652580.211284",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "icefog72/Ice0.16-02.10-RP",
-    "developer": "icefog72",
-    "inference_platform": "unknown",
-    "id": "icefog72/Ice0.16-02.10-RP",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5069083365470286
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4945564313654156
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.05891238670694864
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.27936241610738255
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.433375
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3067652925531915
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/icefog72/Ice0.17-03.10-RP/18752dc4-76d1-40dc-9f43-62b8087b7a88.json b/data/hfopenllm_v2/icefog72/Ice0.17-03.10-RP/18752dc4-76d1-40dc-9f43-62b8087b7a88.json
new file mode 100644
index 000000000..1e5cdb6bc
--- /dev/null
+++ b/data/hfopenllm_v2/icefog72/Ice0.17-03.10-RP/18752dc4-76d1-40dc-9f43-62b8087b7a88.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/icefog72_Ice0.17-03.10-RP/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Ice0.17-03.10-RP",
+    "id": "icefog72/Ice0.17-03.10-RP",
+    "developer": "icefog72",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5124
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5007
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0612
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2819
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4334
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3085
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/icefog72/Ice0.17-03.10-RP/2faf039c-9c8e-46db-8472-6b741c451bf1.json b/data/hfopenllm_v2/icefog72/Ice0.17-03.10-RP/2faf039c-9c8e-46db-8472-6b741c451bf1.json
deleted file mode 100644
index e3a176c4a..000000000
--- a/data/hfopenllm_v2/icefog72/Ice0.17-03.10-RP/2faf039c-9c8e-46db-8472-6b741c451bf1.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/icefog72_Ice0.17-03.10-RP/1762652580.211494",
-  "retrieved_timestamp": "1762652580.211495",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "icefog72/Ice0.17-03.10-RP",
-    "developer": "icefog72",
-    "inference_platform": "unknown",
-    "id": "icefog72/Ice0.17-03.10-RP",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5123538876846767
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5006815748225494
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.06117824773413897
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.28187919463087246
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.433375
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30851063829787234
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/icefog72/Ice0.27-06.11-RP/314c9c7e-0c13-4f6b-be25-d2a2cbc25e9b.json b/data/hfopenllm_v2/icefog72/Ice0.27-06.11-RP/314c9c7e-0c13-4f6b-be25-d2a2cbc25e9b.json
deleted file mode 100644
index 7976cc135..000000000
--- a/data/hfopenllm_v2/icefog72/Ice0.27-06.11-RP/314c9c7e-0c13-4f6b-be25-d2a2cbc25e9b.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/icefog72_Ice0.27-06.11-RP/1762652580.211702",
-  "retrieved_timestamp": "1762652580.211702",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "icefog72/Ice0.27-06.11-RP",
-    "developer": "icefog72",
-    "inference_platform": "unknown",
-    "id": "icefog72/Ice0.27-06.11-RP",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.49182059158588104
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5111654648230625
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-        "score_type": "continuous",
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-        "evaluation_description": "Accuracy on MUSR",
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-        "score_type": "continuous",
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-        "score_type": "continuous",
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diff --git a/data/hfopenllm_v2/icefog72/Ice0.27-06.11-RP/fa30c36e-20f1-41ee-a59d-0044f2b76dfb.json b/data/hfopenllm_v2/icefog72/Ice0.27-06.11-RP/fa30c36e-20f1-41ee-a59d-0044f2b76dfb.json
new file mode 100644
index 000000000..ce00faedd
--- /dev/null
+++ b/data/hfopenllm_v2/icefog72/Ice0.27-06.11-RP/fa30c36e-20f1-41ee-a59d-0044f2b76dfb.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/icefog72_Ice0.27-06.11-RP/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Ice0.27-06.11-RP",
+    "id": "icefog72/Ice0.27-06.11-RP",
+    "developer": "icefog72",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4918
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5112
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3121
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4328
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3154
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/icefog72/Ice0.29-06.11-RP/5391ae8f-41b0-41cb-9365-b5cb7649c8b7.json b/data/hfopenllm_v2/icefog72/Ice0.29-06.11-RP/5391ae8f-41b0-41cb-9365-b5cb7649c8b7.json
new file mode 100644
index 000000000..8a1fccbff
--- /dev/null
+++ b/data/hfopenllm_v2/icefog72/Ice0.29-06.11-RP/5391ae8f-41b0-41cb-9365-b5cb7649c8b7.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/icefog72_Ice0.29-06.11-RP/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Ice0.29-06.11-RP",
+    "id": "icefog72/Ice0.29-06.11-RP",
+    "developer": "icefog72",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4861
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5088
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0566
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3029
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4459
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3093
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/icefog72/Ice0.29-06.11-RP/b07e3d05-409f-498a-a324-82c4a592d4dc.json b/data/hfopenllm_v2/icefog72/Ice0.29-06.11-RP/b07e3d05-409f-498a-a324-82c4a592d4dc.json
deleted file mode 100644
index c038d90ce..000000000
--- a/data/hfopenllm_v2/icefog72/Ice0.29-06.11-RP/b07e3d05-409f-498a-a324-82c4a592d4dc.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/icefog72_Ice0.29-06.11-RP/1762652580.2119",
-  "retrieved_timestamp": "1762652580.211901",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "icefog72/Ice0.29-06.11-RP",
-    "developer": "icefog72",
-    "inference_platform": "unknown",
-    "id": "icefog72/Ice0.29-06.11-RP",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
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-        "score": 0.486050346414181
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-    {
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-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
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-        "max_score": 1
-      },
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
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-        "score_type": "continuous",
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-      },
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-    },
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30925864361702127
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/icefog72/Ice0.31-08.11-RP/1fc072c6-ad31-4151-8420-7402b565510d.json b/data/hfopenllm_v2/icefog72/Ice0.31-08.11-RP/1fc072c6-ad31-4151-8420-7402b565510d.json
deleted file mode 100644
index fecbf0e55..000000000
--- a/data/hfopenllm_v2/icefog72/Ice0.31-08.11-RP/1fc072c6-ad31-4151-8420-7402b565510d.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/icefog72_Ice0.31-08.11-RP/1762652580.212094",
-  "retrieved_timestamp": "1762652580.212095",
-  "source_data": [
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-  "source_metadata": {
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "icefog72/Ice0.31-08.11-RP",
-    "developer": "icefog72",
-    "inference_platform": "unknown",
-    "id": "icefog72/Ice0.31-08.11-RP",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
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-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-    {
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-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5032134100285419
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-    {
-      "evaluation_name": "MATH Level 5",
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-    },
-    {
-      "evaluation_name": "GPQA",
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30788590604026844
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42766666666666664
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3130817819148936
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-  ]
-}
diff --git a/data/hfopenllm_v2/icefog72/Ice0.31-08.11-RP/a95ab4cf-456f-4b3d-9bab-2b755649758d.json b/data/hfopenllm_v2/icefog72/Ice0.31-08.11-RP/a95ab4cf-456f-4b3d-9bab-2b755649758d.json
new file mode 100644
index 000000000..b2b7ce69b
--- /dev/null
+++ b/data/hfopenllm_v2/icefog72/Ice0.31-08.11-RP/a95ab4cf-456f-4b3d-9bab-2b755649758d.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/icefog72_Ice0.31-08.11-RP/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Ice0.31-08.11-RP",
+    "id": "icefog72/Ice0.31-08.11-RP",
+    "developer": "icefog72",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5146
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5032
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0612
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3079
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4277
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3131
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/icefog72/Ice0.32-10.11-RP/68e99fe4-634e-4462-b1db-d2d40814ff0b.json b/data/hfopenllm_v2/icefog72/Ice0.32-10.11-RP/68e99fe4-634e-4462-b1db-d2d40814ff0b.json
deleted file mode 100644
index 75d9dbd57..000000000
--- a/data/hfopenllm_v2/icefog72/Ice0.32-10.11-RP/68e99fe4-634e-4462-b1db-d2d40814ff0b.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/icefog72_Ice0.32-10.11-RP/1762652580.2122939",
-  "retrieved_timestamp": "1762652580.2122948",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "icefog72/Ice0.32-10.11-RP",
-    "developer": "icefog72",
-    "inference_platform": "unknown",
-    "id": "icefog72/Ice0.32-10.11-RP",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.49154576523623983
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5047695597611622
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.0513595166163142
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.31208053691275167
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4382083333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3100066489361702
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/icefog72/Ice0.32-10.11-RP/9840baa9-2ddf-4dd9-b3b0-3ec3075089bc.json b/data/hfopenllm_v2/icefog72/Ice0.32-10.11-RP/9840baa9-2ddf-4dd9-b3b0-3ec3075089bc.json
new file mode 100644
index 000000000..c07a2e5fe
--- /dev/null
+++ b/data/hfopenllm_v2/icefog72/Ice0.32-10.11-RP/9840baa9-2ddf-4dd9-b3b0-3ec3075089bc.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/icefog72_Ice0.32-10.11-RP/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Ice0.32-10.11-RP",
+    "id": "icefog72/Ice0.32-10.11-RP",
+    "developer": "icefog72",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4915
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5048
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0514
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3121
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4382
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.31
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/icefog72/Ice0.34b-14.11-RP/26ff113c-95ca-4716-83f7-4792b46be246.json b/data/hfopenllm_v2/icefog72/Ice0.34b-14.11-RP/26ff113c-95ca-4716-83f7-4792b46be246.json
new file mode 100644
index 000000000..e450135ff
--- /dev/null
+++ b/data/hfopenllm_v2/icefog72/Ice0.34b-14.11-RP/26ff113c-95ca-4716-83f7-4792b46be246.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/icefog72_Ice0.34b-14.11-RP/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Ice0.34b-14.11-RP",
+    "id": "icefog72/Ice0.34b-14.11-RP",
+    "developer": "icefog72",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4762
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5067
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.065
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3096
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.442
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3125
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/icefog72/Ice0.34b-14.11-RP/ed2a47c3-06c7-451b-94cd-8cd42be2ca9c.json b/data/hfopenllm_v2/icefog72/Ice0.34b-14.11-RP/ed2a47c3-06c7-451b-94cd-8cd42be2ca9c.json
deleted file mode 100644
index 26bfba41c..000000000
--- a/data/hfopenllm_v2/icefog72/Ice0.34b-14.11-RP/ed2a47c3-06c7-451b-94cd-8cd42be2ca9c.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/icefog72_Ice0.34b-14.11-RP/1762652580.2124958",
-  "retrieved_timestamp": "1762652580.212497",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "icefog72/Ice0.34b-14.11-RP",
-    "developer": "icefog72",
-    "inference_platform": "unknown",
-    "id": "icefog72/Ice0.34b-14.11-RP",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.47620868185303883
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5067195329696937
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.0649546827794562
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30956375838926176
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4419895833333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3125
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/icefog72/Ice0.34n-14.11-RP/285e1d08-15a0-4d8b-a844-e4cad923ea9b.json b/data/hfopenllm_v2/icefog72/Ice0.34n-14.11-RP/285e1d08-15a0-4d8b-a844-e4cad923ea9b.json
new file mode 100644
index 000000000..8fc9467cf
--- /dev/null
+++ b/data/hfopenllm_v2/icefog72/Ice0.34n-14.11-RP/285e1d08-15a0-4d8b-a844-e4cad923ea9b.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/icefog72_Ice0.34n-14.11-RP/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Ice0.34n-14.11-RP",
+    "id": "icefog72/Ice0.34n-14.11-RP",
+    "developer": "icefog72",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4787
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5091
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0725
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3138
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.438
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3124
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/icefog72/Ice0.34n-14.11-RP/8c6aae5b-6a9b-47fb-908b-6b51159cc9b2.json b/data/hfopenllm_v2/icefog72/Ice0.34n-14.11-RP/8c6aae5b-6a9b-47fb-908b-6b51159cc9b2.json
deleted file mode 100644
index fd1e89765..000000000
--- a/data/hfopenllm_v2/icefog72/Ice0.34n-14.11-RP/8c6aae5b-6a9b-47fb-908b-6b51159cc9b2.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/icefog72_Ice0.34n-14.11-RP/1762652580.2127092",
-  "retrieved_timestamp": "1762652580.21271",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "icefog72/Ice0.34n-14.11-RP",
-    "developer": "icefog72",
-    "inference_platform": "unknown",
-    "id": "icefog72/Ice0.34n-14.11-RP",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.47865663107222167
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5091090160356474
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.07250755287009064
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.313758389261745
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4379583333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.31241688829787234
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/icefog72/Ice0.37-18.11-RP/0462269d-94a3-4991-9af5-e55592f344e5.json b/data/hfopenllm_v2/icefog72/Ice0.37-18.11-RP/0462269d-94a3-4991-9af5-e55592f344e5.json
new file mode 100644
index 000000000..11c77c634
--- /dev/null
+++ b/data/hfopenllm_v2/icefog72/Ice0.37-18.11-RP/0462269d-94a3-4991-9af5-e55592f344e5.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/icefog72_Ice0.37-18.11-RP/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Ice0.37-18.11-RP",
+    "id": "icefog72/Ice0.37-18.11-RP",
+    "developer": "icefog72",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4972
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5084
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0642
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3121
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4339
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3143
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/icefog72/Ice0.37-18.11-RP/774c0461-5e81-436a-9347-7a4cc15ca019.json b/data/hfopenllm_v2/icefog72/Ice0.37-18.11-RP/774c0461-5e81-436a-9347-7a4cc15ca019.json
deleted file mode 100644
index 7ae8045fb..000000000
--- a/data/hfopenllm_v2/icefog72/Ice0.37-18.11-RP/774c0461-5e81-436a-9347-7a4cc15ca019.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/icefog72_Ice0.37-18.11-RP/1762652580.212915",
-  "retrieved_timestamp": "1762652580.212916",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "icefog72/Ice0.37-18.11-RP",
-    "developer": "icefog72",
-    "inference_platform": "unknown",
-    "id": "icefog72/Ice0.37-18.11-RP",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4972162750391184
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5084310833712639
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.06419939577039276
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.31208053691275167
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.43392708333333335
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3143284574468085
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/icefog72/Ice0.38-19.11-RP/4d13aaf7-a18d-4bad-ab22-8e08c3f2e16a.json b/data/hfopenllm_v2/icefog72/Ice0.38-19.11-RP/4d13aaf7-a18d-4bad-ab22-8e08c3f2e16a.json
deleted file mode 100644
index 4f94974a3..000000000
--- a/data/hfopenllm_v2/icefog72/Ice0.38-19.11-RP/4d13aaf7-a18d-4bad-ab22-8e08c3f2e16a.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/icefog72_Ice0.38-19.11-RP/1762652580.213116",
-  "retrieved_timestamp": "1762652580.213117",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "icefog72/Ice0.38-19.11-RP",
-    "developer": "icefog72",
-    "inference_platform": "unknown",
-    "id": "icefog72/Ice0.38-19.11-RP",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.44033830237104216
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.510108216407024
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.05513595166163142
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30453020134228187
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.43671875
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.31399601063829785
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/icefog72/Ice0.38-19.11-RP/c47c4cd6-90b6-42df-a3b9-4fc8f1b3c980.json b/data/hfopenllm_v2/icefog72/Ice0.38-19.11-RP/c47c4cd6-90b6-42df-a3b9-4fc8f1b3c980.json
new file mode 100644
index 000000000..d940d4450
--- /dev/null
+++ b/data/hfopenllm_v2/icefog72/Ice0.38-19.11-RP/c47c4cd6-90b6-42df-a3b9-4fc8f1b3c980.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/icefog72_Ice0.38-19.11-RP/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Ice0.38-19.11-RP",
+    "id": "icefog72/Ice0.38-19.11-RP",
+    "developer": "icefog72",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4403
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5101
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0551
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3045
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4367
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.314
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/icefog72/Ice0.39-19.11-RP/0fecafe4-f8f0-4f97-ab2d-589a3856e1af.json b/data/hfopenllm_v2/icefog72/Ice0.39-19.11-RP/0fecafe4-f8f0-4f97-ab2d-589a3856e1af.json
new file mode 100644
index 000000000..07a2c60d3
--- /dev/null
+++ b/data/hfopenllm_v2/icefog72/Ice0.39-19.11-RP/0fecafe4-f8f0-4f97-ab2d-589a3856e1af.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/icefog72_Ice0.39-19.11-RP/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Ice0.39-19.11-RP",
+    "id": "icefog72/Ice0.39-19.11-RP",
+    "developer": "icefog72",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4757
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5093
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0498
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3104
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4341
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3127
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/icefog72/Ice0.39-19.11-RP/780c711f-774b-499e-881e-25dba76273a1.json b/data/hfopenllm_v2/icefog72/Ice0.39-19.11-RP/780c711f-774b-499e-881e-25dba76273a1.json
deleted file mode 100644
index 9d995223b..000000000
--- a/data/hfopenllm_v2/icefog72/Ice0.39-19.11-RP/780c711f-774b-499e-881e-25dba76273a1.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/icefog72_Ice0.39-19.11-RP/1762652580.2133162",
-  "retrieved_timestamp": "1762652580.2133162",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "icefog72/Ice0.39-19.11-RP",
-    "developer": "icefog72",
-    "inference_platform": "unknown",
-    "id": "icefog72/Ice0.39-19.11-RP",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.47565902915375646
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5092985137525424
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3104026845637584
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4341458333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3126662234042553
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/icefog72/Ice0.40-20.11-RP/4b5529b9-0800-4cd6-b720-a905ab5e6c9a.json b/data/hfopenllm_v2/icefog72/Ice0.40-20.11-RP/4b5529b9-0800-4cd6-b720-a905ab5e6c9a.json
new file mode 100644
index 000000000..ef805d1b3
--- /dev/null
+++ b/data/hfopenllm_v2/icefog72/Ice0.40-20.11-RP/4b5529b9-0800-4cd6-b720-a905ab5e6c9a.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/icefog72_Ice0.40-20.11-RP/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Ice0.40-20.11-RP",
+    "id": "icefog72/Ice0.40-20.11-RP",
+    "developer": "icefog72",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4763
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5093
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0642
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.307
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4446
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3099
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/icefog72/Ice0.40-20.11-RP/5220bee5-74d3-4730-9fee-4ca488e1a37e.json b/data/hfopenllm_v2/icefog72/Ice0.40-20.11-RP/5220bee5-74d3-4730-9fee-4ca488e1a37e.json
deleted file mode 100644
index 49d0a5601..000000000
--- a/data/hfopenllm_v2/icefog72/Ice0.40-20.11-RP/5220bee5-74d3-4730-9fee-4ca488e1a37e.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/icefog72_Ice0.40-20.11-RP/1762652580.2136111",
-  "retrieved_timestamp": "1762652580.213614",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "icefog72/Ice0.40-20.11-RP",
-    "developer": "icefog72",
-    "inference_platform": "unknown",
-    "id": "icefog72/Ice0.40-20.11-RP",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4762585495374495
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.509308586549064
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.06419939577039276
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3070469798657718
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.44459374999999995
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30992353723404253
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/icefog72/Ice0.41-22.11-RP/43a30cf0-ccb5-46ce-b520-55ee110002c9.json b/data/hfopenllm_v2/icefog72/Ice0.41-22.11-RP/43a30cf0-ccb5-46ce-b520-55ee110002c9.json
deleted file mode 100644
index 206293861..000000000
--- a/data/hfopenllm_v2/icefog72/Ice0.41-22.11-RP/43a30cf0-ccb5-46ce-b520-55ee110002c9.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/icefog72_Ice0.41-22.11-RP/1762652580.213999",
-  "retrieved_timestamp": "1762652580.2140002",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "icefog72/Ice0.41-22.11-RP",
-    "developer": "icefog72",
-    "inference_platform": "unknown",
-    "id": "icefog72/Ice0.41-22.11-RP",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4620451513096362
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4723318624775949
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
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-        "score_type": "continuous",
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
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-      "score_details": {
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-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
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-        "score_type": "continuous",
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-        "max_score": 1
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-      "score_details": {
-        "score": 0.45597916666666666
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.26180186170212766
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diff --git a/data/hfopenllm_v2/icefog72/Ice0.41-22.11-RP/84783e4d-5eed-474d-9463-a01a0890850e.json b/data/hfopenllm_v2/icefog72/Ice0.41-22.11-RP/84783e4d-5eed-474d-9463-a01a0890850e.json
new file mode 100644
index 000000000..baa053681
--- /dev/null
+++ b/data/hfopenllm_v2/icefog72/Ice0.41-22.11-RP/84783e4d-5eed-474d-9463-a01a0890850e.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/icefog72_Ice0.41-22.11-RP/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Ice0.41-22.11-RP",
+    "id": "icefog72/Ice0.41-22.11-RP",
+    "developer": "icefog72",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.462
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4723
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.031
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2869
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.456
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2618
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/icefog72/Ice0.50-16.01-RP/37602e25-bd23-462a-8566-38f3b0fee63d.json b/data/hfopenllm_v2/icefog72/Ice0.50-16.01-RP/37602e25-bd23-462a-8566-38f3b0fee63d.json
deleted file mode 100644
index 1032ae0de..000000000
--- a/data/hfopenllm_v2/icefog72/Ice0.50-16.01-RP/37602e25-bd23-462a-8566-38f3b0fee63d.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/icefog72_Ice0.50-16.01-RP/1762652580.214273",
-  "retrieved_timestamp": "1762652580.214274",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "icefog72/Ice0.50-16.01-RP",
-    "developer": "icefog72",
-    "inference_platform": "unknown",
-    "id": "icefog72/Ice0.50-16.01-RP",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.43848987353555235
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.49804682910006176
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.04682779456193353
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.29949664429530204
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4380520833333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30693151595744683
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/icefog72/Ice0.50-16.01-RP/d9fe39c5-24a5-4240-bfc9-59860fcb3911.json b/data/hfopenllm_v2/icefog72/Ice0.50-16.01-RP/d9fe39c5-24a5-4240-bfc9-59860fcb3911.json
new file mode 100644
index 000000000..eb81cb8cd
--- /dev/null
+++ b/data/hfopenllm_v2/icefog72/Ice0.50-16.01-RP/d9fe39c5-24a5-4240-bfc9-59860fcb3911.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/icefog72_Ice0.50-16.01-RP/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Ice0.50-16.01-RP",
+    "id": "icefog72/Ice0.50-16.01-RP",
+    "developer": "icefog72",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4385
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.498
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0468
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2995
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4381
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3069
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/icefog72/Ice0.50.1-16.01-RP/2ddf850e-36dc-41b2-92da-e2b45d1544c6.json b/data/hfopenllm_v2/icefog72/Ice0.50.1-16.01-RP/2ddf850e-36dc-41b2-92da-e2b45d1544c6.json
new file mode 100644
index 000000000..bcbafb408
--- /dev/null
+++ b/data/hfopenllm_v2/icefog72/Ice0.50.1-16.01-RP/2ddf850e-36dc-41b2-92da-e2b45d1544c6.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/icefog72_Ice0.50.1-16.01-RP/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Ice0.50.1-16.01-RP",
+    "id": "icefog72/Ice0.50.1-16.01-RP",
+    "developer": "icefog72",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4829
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5107
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0612
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3096
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4327
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3132
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/icefog72/Ice0.50.1-16.01-RP/fde6323e-0bfe-4ec9-aa86-4371bbd1645a.json b/data/hfopenllm_v2/icefog72/Ice0.50.1-16.01-RP/fde6323e-0bfe-4ec9-aa86-4371bbd1645a.json
deleted file mode 100644
index 9342e7623..000000000
--- a/data/hfopenllm_v2/icefog72/Ice0.50.1-16.01-RP/fde6323e-0bfe-4ec9-aa86-4371bbd1645a.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/icefog72_Ice0.50.1-16.01-RP/1762652580.214615",
-  "retrieved_timestamp": "1762652580.214617",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "icefog72/Ice0.50.1-16.01-RP",
-    "developer": "icefog72",
-    "inference_platform": "unknown",
-    "id": "icefog72/Ice0.50.1-16.01-RP",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4829031414424837
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5107472937598788
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.06117824773413897
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-    },
-    {
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-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30956375838926176
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.43274999999999997
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3132480053191489
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/icefog72/Ice0.51-16.01-RP/7a137ac4-8445-4c1a-9203-abc5f4131213.json b/data/hfopenllm_v2/icefog72/Ice0.51-16.01-RP/7a137ac4-8445-4c1a-9203-abc5f4131213.json
deleted file mode 100644
index 7e96a8361..000000000
--- a/data/hfopenllm_v2/icefog72/Ice0.51-16.01-RP/7a137ac4-8445-4c1a-9203-abc5f4131213.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/icefog72_Ice0.51-16.01-RP/1762652580.214901",
-  "retrieved_timestamp": "1762652580.214902",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "icefog72/Ice0.51-16.01-RP",
-    "developer": "icefog72",
-    "inference_platform": "unknown",
-    "id": "icefog72/Ice0.51-16.01-RP",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4430610779398662
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5044464794803141
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.0513595166163142
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30453020134228187
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.44366666666666665
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30601728723404253
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/icefog72/Ice0.51-16.01-RP/b10a9284-fa5e-4a4e-8240-edc98cea6d9c.json b/data/hfopenllm_v2/icefog72/Ice0.51-16.01-RP/b10a9284-fa5e-4a4e-8240-edc98cea6d9c.json
new file mode 100644
index 000000000..a158fdd3f
--- /dev/null
+++ b/data/hfopenllm_v2/icefog72/Ice0.51-16.01-RP/b10a9284-fa5e-4a4e-8240-edc98cea6d9c.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/icefog72_Ice0.51-16.01-RP/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Ice0.51-16.01-RP",
+    "id": "icefog72/Ice0.51-16.01-RP",
+    "developer": "icefog72",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4431
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5044
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0514
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3045
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4437
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.306
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/icefog72/Ice0.51.1-16.01-RP/2c51bd1d-ebe8-4de9-9749-5f42f7ba3d5a.json b/data/hfopenllm_v2/icefog72/Ice0.51.1-16.01-RP/2c51bd1d-ebe8-4de9-9749-5f42f7ba3d5a.json
new file mode 100644
index 000000000..1cd3c840d
--- /dev/null
+++ b/data/hfopenllm_v2/icefog72/Ice0.51.1-16.01-RP/2c51bd1d-ebe8-4de9-9749-5f42f7ba3d5a.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/icefog72_Ice0.51.1-16.01-RP/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Ice0.51.1-16.01-RP",
+    "id": "icefog72/Ice0.51.1-16.01-RP",
+    "developer": "icefog72",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4573
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5121
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0642
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3062
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4394
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3104
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/icefog72/Ice0.51.1-16.01-RP/859a9706-f73b-4426-9c5a-052625d62f5b.json b/data/hfopenllm_v2/icefog72/Ice0.51.1-16.01-RP/859a9706-f73b-4426-9c5a-052625d62f5b.json
deleted file mode 100644
index 8e896753c..000000000
--- a/data/hfopenllm_v2/icefog72/Ice0.51.1-16.01-RP/859a9706-f73b-4426-9c5a-052625d62f5b.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/icefog72_Ice0.51.1-16.01-RP/1762652580.215148",
-  "retrieved_timestamp": "1762652580.2151492",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "icefog72/Ice0.51.1-16.01-RP",
-    "developer": "icefog72",
-    "inference_platform": "unknown",
-    "id": "icefog72/Ice0.51.1-16.01-RP",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4573243438520902
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5121083021452105
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.06419939577039276
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3062080536912752
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.43938541666666664
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3104222074468085
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/icefog72/Ice0.52-16.01-RP/425e6f1e-50dd-444f-b0da-5a0c47d5bf06.json b/data/hfopenllm_v2/icefog72/Ice0.52-16.01-RP/425e6f1e-50dd-444f-b0da-5a0c47d5bf06.json
new file mode 100644
index 000000000..10d868dab
--- /dev/null
+++ b/data/hfopenllm_v2/icefog72/Ice0.52-16.01-RP/425e6f1e-50dd-444f-b0da-5a0c47d5bf06.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/icefog72_Ice0.52-16.01-RP/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Ice0.52-16.01-RP",
+    "id": "icefog72/Ice0.52-16.01-RP",
+    "developer": "icefog72",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4503
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5047
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0506
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3087
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4396
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.308
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/icefog72/Ice0.52-16.01-RP/72412b78-cc3e-4652-9034-32c72aee5796.json b/data/hfopenllm_v2/icefog72/Ice0.52-16.01-RP/72412b78-cc3e-4652-9034-32c72aee5796.json
deleted file mode 100644
index 6efbe282f..000000000
--- a/data/hfopenllm_v2/icefog72/Ice0.52-16.01-RP/72412b78-cc3e-4652-9034-32c72aee5796.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/icefog72_Ice0.52-16.01-RP/1762652580.21541",
-  "retrieved_timestamp": "1762652580.215412",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "icefog72/Ice0.52-16.01-RP",
-    "developer": "icefog72",
-    "inference_platform": "unknown",
-    "id": "icefog72/Ice0.52-16.01-RP",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4503051902285935
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.504677500406742
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.05060422960725076
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3087248322147651
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.43960416666666663
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
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-}
diff --git a/data/hfopenllm_v2/icefog72/Ice0.52.1-16.01-RP/6bfbd9d6-b376-4169-8e6a-2c3210040e97.json b/data/hfopenllm_v2/icefog72/Ice0.52.1-16.01-RP/6bfbd9d6-b376-4169-8e6a-2c3210040e97.json
deleted file mode 100644
index 7d9de670a..000000000
--- a/data/hfopenllm_v2/icefog72/Ice0.52.1-16.01-RP/6bfbd9d6-b376-4169-8e6a-2c3210040e97.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/icefog72_Ice0.52.1-16.01-RP/1762652580.21567",
-  "retrieved_timestamp": "1762652580.215671",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "icefog72/Ice0.52.1-16.01-RP",
-    "developer": "icefog72",
-    "inference_platform": "unknown",
-    "id": "icefog72/Ice0.52.1-16.01-RP",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.45492626231731803
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.510648341878344
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.06268882175226587
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3036912751677852
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.43938541666666664
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.31050531914893614
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/icefog72/Ice0.52.1-16.01-RP/7e1fcf4e-9f64-4112-934c-4808f07d32b2.json b/data/hfopenllm_v2/icefog72/Ice0.52.1-16.01-RP/7e1fcf4e-9f64-4112-934c-4808f07d32b2.json
new file mode 100644
index 000000000..51094c005
--- /dev/null
+++ b/data/hfopenllm_v2/icefog72/Ice0.52.1-16.01-RP/7e1fcf4e-9f64-4112-934c-4808f07d32b2.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/icefog72_Ice0.52.1-16.01-RP/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Ice0.52.1-16.01-RP",
+    "id": "icefog72/Ice0.52.1-16.01-RP",
+    "developer": "icefog72",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4549
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5106
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0627
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3037
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4394
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3105
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/icefog72/Ice0.53-16.01-RP/6415adfc-35a9-480c-a740-dac02725c8f0.json b/data/hfopenllm_v2/icefog72/Ice0.53-16.01-RP/6415adfc-35a9-480c-a740-dac02725c8f0.json
deleted file mode 100644
index b5c35e294..000000000
--- a/data/hfopenllm_v2/icefog72/Ice0.53-16.01-RP/6415adfc-35a9-480c-a740-dac02725c8f0.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/icefog72_Ice0.53-16.01-RP/1762652580.215963",
-  "retrieved_timestamp": "1762652580.2159638",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "icefog72/Ice0.53-16.01-RP",
-    "developer": "icefog72",
-    "inference_platform": "unknown",
-    "id": "icefog72/Ice0.53-16.01-RP",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4741352943523185
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5101675133484068
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.0634441087613293
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3087248322147651
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.43274999999999997
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.31299867021276595
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/icefog72/Ice0.53-16.01-RP/d3666566-09dc-4d53-9996-2301c6fb2721.json b/data/hfopenllm_v2/icefog72/Ice0.53-16.01-RP/d3666566-09dc-4d53-9996-2301c6fb2721.json
new file mode 100644
index 000000000..2b83a20cc
--- /dev/null
+++ b/data/hfopenllm_v2/icefog72/Ice0.53-16.01-RP/d3666566-09dc-4d53-9996-2301c6fb2721.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/icefog72_Ice0.53-16.01-RP/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Ice0.53-16.01-RP",
+    "id": "icefog72/Ice0.53-16.01-RP",
+    "developer": "icefog72",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4741
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5102
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0634
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3087
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4327
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.313
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/icefog72/Ice0.54-17.01-RP/36e5efb9-e3f0-4903-a9f1-3d51453bfdc4.json b/data/hfopenllm_v2/icefog72/Ice0.54-17.01-RP/36e5efb9-e3f0-4903-a9f1-3d51453bfdc4.json
new file mode 100644
index 000000000..aac00db76
--- /dev/null
+++ b/data/hfopenllm_v2/icefog72/Ice0.54-17.01-RP/36e5efb9-e3f0-4903-a9f1-3d51453bfdc4.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/icefog72_Ice0.54-17.01-RP/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Ice0.54-17.01-RP",
+    "id": "icefog72/Ice0.54-17.01-RP",
+    "developer": "icefog72",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4379
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4853
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0408
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3096
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4874
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2326
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/icefog72/Ice0.54-17.01-RP/94d01e56-d7d5-4680-b577-ebcc0198ca0c.json b/data/hfopenllm_v2/icefog72/Ice0.54-17.01-RP/94d01e56-d7d5-4680-b577-ebcc0198ca0c.json
deleted file mode 100644
index 52940b2df..000000000
--- a/data/hfopenllm_v2/icefog72/Ice0.54-17.01-RP/94d01e56-d7d5-4680-b577-ebcc0198ca0c.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/icefog72_Ice0.54-17.01-RP/1762652580.2162719",
-  "retrieved_timestamp": "1762652580.2162728",
-  "source_data": [
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
-    "name": "icefog72/Ice0.54-17.01-RP",
-    "developer": "icefog72",
-    "inference_platform": "unknown",
-    "id": "icefog72/Ice0.54-17.01-RP",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
-    }
-  },
-  "evaluation_results": [
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-      "evaluation_name": "IFEval",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-        "lower_is_better": false,
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-        "min_score": 0,
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-        "lower_is_better": false,
-        "score_type": "continuous",
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-        "min_score": 0,
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-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    }
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-}
diff --git a/data/hfopenllm_v2/icefog72/Ice0.55-17.01-RP/a2de66f0-bbd1-40b9-95d3-74e0335b853b.json b/data/hfopenllm_v2/icefog72/Ice0.55-17.01-RP/a2de66f0-bbd1-40b9-95d3-74e0335b853b.json
deleted file mode 100644
index 77936a744..000000000
--- a/data/hfopenllm_v2/icefog72/Ice0.55-17.01-RP/a2de66f0-bbd1-40b9-95d3-74e0335b853b.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/icefog72_Ice0.55-17.01-RP/1762652580.2165911",
-  "retrieved_timestamp": "1762652580.2165918",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "icefog72/Ice0.55-17.01-RP",
-    "developer": "icefog72",
-    "inference_platform": "unknown",
-    "id": "icefog72/Ice0.55-17.01-RP",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.496067101956143
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-    },
-    {
-      "evaluation_name": "BBH",
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-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5076567509425027
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-    },
-    {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.28691275167785235
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4725
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2657912234042553
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/icefog72/Ice0.55-17.01-RP/a6dba337-81d2-40c6-89c2-aee6de82282e.json b/data/hfopenllm_v2/icefog72/Ice0.55-17.01-RP/a6dba337-81d2-40c6-89c2-aee6de82282e.json
new file mode 100644
index 000000000..d93982f8a
--- /dev/null
+++ b/data/hfopenllm_v2/icefog72/Ice0.55-17.01-RP/a6dba337-81d2-40c6-89c2-aee6de82282e.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/icefog72_Ice0.55-17.01-RP/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Ice0.55-17.01-RP",
+    "id": "icefog72/Ice0.55-17.01-RP",
+    "developer": "icefog72",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4961
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5077
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0604
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2869
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4725
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2658
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/icefog72/Ice0.57-17.01-RP/8d99bf0e-7db0-46f5-96a0-7f977b8cf5f2.json b/data/hfopenllm_v2/icefog72/Ice0.57-17.01-RP/8d99bf0e-7db0-46f5-96a0-7f977b8cf5f2.json
deleted file mode 100644
index 7eff12087..000000000
--- a/data/hfopenllm_v2/icefog72/Ice0.57-17.01-RP/8d99bf0e-7db0-46f5-96a0-7f977b8cf5f2.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/icefog72_Ice0.57-17.01-RP/1762652580.216822",
-  "retrieved_timestamp": "1762652580.216822",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "icefog72/Ice0.57-17.01-RP",
-    "developer": "icefog72",
-    "inference_platform": "unknown",
-    "id": "icefog72/Ice0.57-17.01-RP",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5151763986223221
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5064080420224116
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.0513595166163142
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.29697986577181207
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.46859375
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.26512632978723405
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/icefog72/Ice0.57-17.01-RP/e44b8d9a-f270-45c8-b126-6a8911c35436.json b/data/hfopenllm_v2/icefog72/Ice0.57-17.01-RP/e44b8d9a-f270-45c8-b126-6a8911c35436.json
new file mode 100644
index 000000000..100730827
--- /dev/null
+++ b/data/hfopenllm_v2/icefog72/Ice0.57-17.01-RP/e44b8d9a-f270-45c8-b126-6a8911c35436.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/icefog72_Ice0.57-17.01-RP/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Ice0.57-17.01-RP",
+    "id": "icefog72/Ice0.57-17.01-RP",
+    "developer": "icefog72",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5152
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5064
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0514
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.297
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4686
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2651
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/icefog72/Ice0.60-18.01-RP/44d5e1ac-45d5-42aa-b9fa-f18112cf6676.json b/data/hfopenllm_v2/icefog72/Ice0.60-18.01-RP/44d5e1ac-45d5-42aa-b9fa-f18112cf6676.json
new file mode 100644
index 000000000..79e0d8058
--- /dev/null
+++ b/data/hfopenllm_v2/icefog72/Ice0.60-18.01-RP/44d5e1ac-45d5-42aa-b9fa-f18112cf6676.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/icefog72_Ice0.60-18.01-RP/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Ice0.60-18.01-RP",
+    "id": "icefog72/Ice0.60-18.01-RP",
+    "developer": "icefog72",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5374
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5094
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0536
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3045
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.467
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2837
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/icefog72/Ice0.60-18.01-RP/b5c42995-f1fe-4a7e-90c1-d8fb00cba116.json b/data/hfopenllm_v2/icefog72/Ice0.60-18.01-RP/b5c42995-f1fe-4a7e-90c1-d8fb00cba116.json
deleted file mode 100644
index 7a9ed0303..000000000
--- a/data/hfopenllm_v2/icefog72/Ice0.60-18.01-RP/b5c42995-f1fe-4a7e-90c1-d8fb00cba116.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/icefog72_Ice0.60-18.01-RP/1762652580.217043",
-  "retrieved_timestamp": "1762652580.2170439",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "icefog72/Ice0.60-18.01-RP",
-    "developer": "icefog72",
-    "inference_platform": "unknown",
-    "id": "icefog72/Ice0.60-18.01-RP",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5374329002601985
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5093724614980669
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.05362537764350453
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30453020134228187
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.46704166666666663
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.28366023936170215
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/icefog72/Ice0.60.1-18.01-RP/4246401d-9049-4c83-83d4-e2d9efa4dded.json b/data/hfopenllm_v2/icefog72/Ice0.60.1-18.01-RP/4246401d-9049-4c83-83d4-e2d9efa4dded.json
new file mode 100644
index 000000000..a75134cde
--- /dev/null
+++ b/data/hfopenllm_v2/icefog72/Ice0.60.1-18.01-RP/4246401d-9049-4c83-83d4-e2d9efa4dded.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/icefog72_Ice0.60.1-18.01-RP/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Ice0.60.1-18.01-RP",
+    "id": "icefog72/Ice0.60.1-18.01-RP",
+    "developer": "icefog72",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5188
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.512
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0461
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.302
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4498
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2914
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/icefog72/Ice0.60.1-18.01-RP/8a14ed64-1408-469e-ab8d-05c897904d20.json b/data/hfopenllm_v2/icefog72/Ice0.60.1-18.01-RP/8a14ed64-1408-469e-ab8d-05c897904d20.json
deleted file mode 100644
index da23cb0d8..000000000
--- a/data/hfopenllm_v2/icefog72/Ice0.60.1-18.01-RP/8a14ed64-1408-469e-ab8d-05c897904d20.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/icefog72_Ice0.60.1-18.01-RP/1762652580.217258",
-  "retrieved_timestamp": "1762652580.217259",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "icefog72/Ice0.60.1-18.01-RP",
-    "developer": "icefog72",
-    "inference_platform": "unknown",
-    "id": "icefog72/Ice0.60.1-18.01-RP",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5187735209244804
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5119675522804026
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.04607250755287009
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30201342281879195
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4497708333333333
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2913896276595745
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/icefog72/Ice0.61-18.01-RP/1c166a10-c176-42c7-9421-750e170f5706.json b/data/hfopenllm_v2/icefog72/Ice0.61-18.01-RP/1c166a10-c176-42c7-9421-750e170f5706.json
deleted file mode 100644
index 8a4506f0d..000000000
--- a/data/hfopenllm_v2/icefog72/Ice0.61-18.01-RP/1c166a10-c176-42c7-9421-750e170f5706.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/icefog72_Ice0.61-18.01-RP/1762652580.2174668",
-  "retrieved_timestamp": "1762652580.2174678",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "icefog72/Ice0.61-18.01-RP",
-    "developer": "icefog72",
-    "inference_platform": "unknown",
-    "id": "icefog72/Ice0.61-18.01-RP",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5441273598496433
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5104839613346842
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
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-        "score_type": "continuous",
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-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "GPQA",
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-        "evaluation_description": "Accuracy on GPQA",
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-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
-        "score": 0.2986577181208054
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
-        "score": 0.4697395833333333
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.27086103723404253
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-    }
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-}
diff --git a/data/hfopenllm_v2/icefog72/Ice0.61-18.01-RP/26c4785a-0caf-4b01-be5d-1e421bfeb698.json b/data/hfopenllm_v2/icefog72/Ice0.61-18.01-RP/26c4785a-0caf-4b01-be5d-1e421bfeb698.json
new file mode 100644
index 000000000..de443599c
--- /dev/null
+++ b/data/hfopenllm_v2/icefog72/Ice0.61-18.01-RP/26c4785a-0caf-4b01-be5d-1e421bfeb698.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/icefog72_Ice0.61-18.01-RP/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Ice0.61-18.01-RP",
+    "id": "icefog72/Ice0.61-18.01-RP",
+    "developer": "icefog72",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5441
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5105
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0468
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2987
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4697
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2709
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/icefog72/Ice0.62-18.01-RP/0c5bb530-f59b-4097-8a79-9e4f524385a2.json b/data/hfopenllm_v2/icefog72/Ice0.62-18.01-RP/0c5bb530-f59b-4097-8a79-9e4f524385a2.json
deleted file mode 100644
index edd4b5335..000000000
--- a/data/hfopenllm_v2/icefog72/Ice0.62-18.01-RP/0c5bb530-f59b-4097-8a79-9e4f524385a2.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/icefog72_Ice0.62-18.01-RP/1762652580.21767",
-  "retrieved_timestamp": "1762652580.217671",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "icefog72/Ice0.62-18.01-RP",
-    "developer": "icefog72",
-    "inference_platform": "unknown",
-    "id": "icefog72/Ice0.62-18.01-RP",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.536733644507684
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5103327208197285
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.05740181268882175
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2978187919463087
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4537708333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.28773271276595747
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/icefog72/Ice0.62-18.01-RP/cc9b9a25-18f9-4cc3-a756-3975a3a3be7d.json b/data/hfopenllm_v2/icefog72/Ice0.62-18.01-RP/cc9b9a25-18f9-4cc3-a756-3975a3a3be7d.json
new file mode 100644
index 000000000..1c76bab97
--- /dev/null
+++ b/data/hfopenllm_v2/icefog72/Ice0.62-18.01-RP/cc9b9a25-18f9-4cc3-a756-3975a3a3be7d.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/icefog72_Ice0.62-18.01-RP/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Ice0.62-18.01-RP",
+    "id": "icefog72/Ice0.62-18.01-RP",
+    "developer": "icefog72",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5367
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5103
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0574
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2978
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4538
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2877
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/icefog72/Ice0.62.1-24.01-RP/26ba869e-ae3b-44ef-a215-f94e4e4cb1fc.json b/data/hfopenllm_v2/icefog72/Ice0.62.1-24.01-RP/26ba869e-ae3b-44ef-a215-f94e4e4cb1fc.json
deleted file mode 100644
index b83e89481..000000000
--- a/data/hfopenllm_v2/icefog72/Ice0.62.1-24.01-RP/26ba869e-ae3b-44ef-a215-f94e4e4cb1fc.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/icefog72_Ice0.62.1-24.01-RP/1762652580.2178729",
-  "retrieved_timestamp": "1762652580.2178729",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "icefog72/Ice0.62.1-24.01-RP",
-    "developer": "icefog72",
-    "inference_platform": "unknown",
-    "id": "icefog72/Ice0.62.1-24.01-RP",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5181740005407873
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5108967760246949
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.055891238670694864
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30033557046979864
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.45510416666666664
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.28706781914893614
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/icefog72/Ice0.62.1-24.01-RP/b4edb7f5-a675-4627-af96-7ed0909da1e5.json b/data/hfopenllm_v2/icefog72/Ice0.62.1-24.01-RP/b4edb7f5-a675-4627-af96-7ed0909da1e5.json
new file mode 100644
index 000000000..da0bcab1f
--- /dev/null
+++ b/data/hfopenllm_v2/icefog72/Ice0.62.1-24.01-RP/b4edb7f5-a675-4627-af96-7ed0909da1e5.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/icefog72_Ice0.62.1-24.01-RP/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Ice0.62.1-24.01-RP",
+    "id": "icefog72/Ice0.62.1-24.01-RP",
+    "developer": "icefog72",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5182
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5109
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0559
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3003
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4551
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2871
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/icefog72/Ice0.64-24.01-RP/461b6f40-6f19-48b1-857e-f0fb37f929f9.json b/data/hfopenllm_v2/icefog72/Ice0.64-24.01-RP/461b6f40-6f19-48b1-857e-f0fb37f929f9.json
new file mode 100644
index 000000000..3cff42e22
--- /dev/null
+++ b/data/hfopenllm_v2/icefog72/Ice0.64-24.01-RP/461b6f40-6f19-48b1-857e-f0fb37f929f9.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/icefog72_Ice0.64-24.01-RP/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Ice0.64-24.01-RP",
+    "id": "icefog72/Ice0.64-24.01-RP",
+    "developer": "icefog72",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5441
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.506
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0627
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3037
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.462
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2933
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/icefog72/Ice0.64-24.01-RP/d7313786-f553-454e-b2c8-62a0162c9339.json b/data/hfopenllm_v2/icefog72/Ice0.64-24.01-RP/d7313786-f553-454e-b2c8-62a0162c9339.json
deleted file mode 100644
index 8b32e9405..000000000
--- a/data/hfopenllm_v2/icefog72/Ice0.64-24.01-RP/d7313786-f553-454e-b2c8-62a0162c9339.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/icefog72_Ice0.64-24.01-RP/1762652580.218076",
-  "retrieved_timestamp": "1762652580.218076",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "icefog72/Ice0.64-24.01-RP",
-    "developer": "icefog72",
-    "inference_platform": "unknown",
-    "id": "icefog72/Ice0.64-24.01-RP",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5440774921652327
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5059610114856247
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.06268882175226587
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3036912751677852
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4620208333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.29330119680851063
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/icefog72/Ice0.64.1-24.01-RP/359daeb1-3546-473f-801b-c9942fd010aa.json b/data/hfopenllm_v2/icefog72/Ice0.64.1-24.01-RP/359daeb1-3546-473f-801b-c9942fd010aa.json
deleted file mode 100644
index 245275abe..000000000
--- a/data/hfopenllm_v2/icefog72/Ice0.64.1-24.01-RP/359daeb1-3546-473f-801b-c9942fd010aa.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/icefog72_Ice0.64.1-24.01-RP/1762652580.218272",
-  "retrieved_timestamp": "1762652580.218272",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "icefog72/Ice0.64.1-24.01-RP",
-    "developer": "icefog72",
-    "inference_platform": "unknown",
-    "id": "icefog72/Ice0.64.1-24.01-RP",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5446770125489258
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5059610114856247
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.06268882175226587
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3036912751677852
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4620208333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.29330119680851063
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/icefog72/Ice0.64.1-24.01-RP/e924270d-a655-4093-91b2-f73b7f12eefd.json b/data/hfopenllm_v2/icefog72/Ice0.64.1-24.01-RP/e924270d-a655-4093-91b2-f73b7f12eefd.json
new file mode 100644
index 000000000..63500c106
--- /dev/null
+++ b/data/hfopenllm_v2/icefog72/Ice0.64.1-24.01-RP/e924270d-a655-4093-91b2-f73b7f12eefd.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/icefog72_Ice0.64.1-24.01-RP/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Ice0.64.1-24.01-RP",
+    "id": "icefog72/Ice0.64.1-24.01-RP",
+    "developer": "icefog72",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5447
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.506
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0627
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3037
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.462
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2933
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/icefog72/Ice0.65-25.01-RP/af8905e0-e969-45bd-8e09-e7316fff0914.json b/data/hfopenllm_v2/icefog72/Ice0.65-25.01-RP/af8905e0-e969-45bd-8e09-e7316fff0914.json
new file mode 100644
index 000000000..6575a19cf
--- /dev/null
+++ b/data/hfopenllm_v2/icefog72/Ice0.65-25.01-RP/af8905e0-e969-45bd-8e09-e7316fff0914.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/icefog72_Ice0.65-25.01-RP/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Ice0.65-25.01-RP",
+    "id": "icefog72/Ice0.65-25.01-RP",
+    "developer": "icefog72",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5029
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5096
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.065
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3045
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.434
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2997
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/icefog72/Ice0.65-25.01-RP/fa5d2148-c45b-4266-a6a0-11b471273f75.json b/data/hfopenllm_v2/icefog72/Ice0.65-25.01-RP/fa5d2148-c45b-4266-a6a0-11b471273f75.json
deleted file mode 100644
index 12d8dd287..000000000
--- a/data/hfopenllm_v2/icefog72/Ice0.65-25.01-RP/fa5d2148-c45b-4266-a6a0-11b471273f75.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/icefog72_Ice0.65-25.01-RP/1762652580.2184708",
-  "retrieved_timestamp": "1762652580.218472",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "icefog72/Ice0.65-25.01-RP",
-    "developer": "icefog72",
-    "inference_platform": "unknown",
-    "id": "icefog72/Ice0.65-25.01-RP",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5029366525264077
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5095976254774931
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.0649546827794562
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30453020134228187
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4339583333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.29970079787234044
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/icefog72/Ice0.66-25.01-RP/b619dad2-fcb2-45ab-b603-ae1da3916eb7.json b/data/hfopenllm_v2/icefog72/Ice0.66-25.01-RP/b619dad2-fcb2-45ab-b603-ae1da3916eb7.json
deleted file mode 100644
index 61983c8d9..000000000
--- a/data/hfopenllm_v2/icefog72/Ice0.66-25.01-RP/b619dad2-fcb2-45ab-b603-ae1da3916eb7.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
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-  "source_data": [
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-    "developer": "icefog72",
-    "inference_platform": "unknown",
-    "id": "icefog72/Ice0.66-25.01-RP",
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-        "lower_is_better": false,
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/icefog72/Ice0.66-25.01-RP/e92a6d31-2277-4093-8fae-b3dfaa2d47dd.json b/data/hfopenllm_v2/icefog72/Ice0.66-25.01-RP/e92a6d31-2277-4093-8fae-b3dfaa2d47dd.json
new file mode 100644
index 000000000..f0e31f665
--- /dev/null
+++ b/data/hfopenllm_v2/icefog72/Ice0.66-25.01-RP/e92a6d31-2277-4093-8fae-b3dfaa2d47dd.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/icefog72_Ice0.66-25.01-RP/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Ice0.66-25.01-RP",
+    "id": "icefog72/Ice0.66-25.01-RP",
+    "developer": "icefog72",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5325
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5129
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+    },
+    {
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+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.307
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4434
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3039
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/icefog72/Ice0.67-25.01-RP/47472cd9-36d3-4074-83d4-af53b9c23758.json b/data/hfopenllm_v2/icefog72/Ice0.67-25.01-RP/47472cd9-36d3-4074-83d4-af53b9c23758.json
new file mode 100644
index 000000000..46ca836b5
--- /dev/null
+++ b/data/hfopenllm_v2/icefog72/Ice0.67-25.01-RP/47472cd9-36d3-4074-83d4-af53b9c23758.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/icefog72_Ice0.67-25.01-RP/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Ice0.67-25.01-RP",
+    "id": "icefog72/Ice0.67-25.01-RP",
+    "developer": "icefog72",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5361
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5113
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0748
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2852
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4279
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3097
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/icefog72/Ice0.67-25.01-RP/cf0a4a2d-a104-43cf-ac01-66250e880ff0.json b/data/hfopenllm_v2/icefog72/Ice0.67-25.01-RP/cf0a4a2d-a104-43cf-ac01-66250e880ff0.json
deleted file mode 100644
index 069c11ba5..000000000
--- a/data/hfopenllm_v2/icefog72/Ice0.67-25.01-RP/cf0a4a2d-a104-43cf-ac01-66250e880ff0.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/icefog72_Ice0.67-25.01-RP/1762652580.21887",
-  "retrieved_timestamp": "1762652580.218871",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "icefog72/Ice0.67-25.01-RP",
-    "developer": "icefog72",
-    "inference_platform": "unknown",
-    "id": "icefog72/Ice0.67-25.01-RP",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.536134124123991
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5112894150790012
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.07477341389728097
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.28523489932885904
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42788541666666663
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30967420212765956
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/icefog72/Ice0.68-25.01-RP/b922f4e1-1fd9-4a32-94ce-4784430cef51.json b/data/hfopenllm_v2/icefog72/Ice0.68-25.01-RP/b922f4e1-1fd9-4a32-94ce-4784430cef51.json
new file mode 100644
index 000000000..02b0eca7c
--- /dev/null
+++ b/data/hfopenllm_v2/icefog72/Ice0.68-25.01-RP/b922f4e1-1fd9-4a32-94ce-4784430cef51.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/icefog72_Ice0.68-25.01-RP/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Ice0.68-25.01-RP",
+    "id": "icefog72/Ice0.68-25.01-RP",
+    "developer": "icefog72",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5514
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.513
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0725
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3104
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4446
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3012
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/icefog72/Ice0.68-25.01-RP/dd7cb16f-0752-4639-aa99-90b9be448295.json b/data/hfopenllm_v2/icefog72/Ice0.68-25.01-RP/dd7cb16f-0752-4639-aa99-90b9be448295.json
deleted file mode 100644
index 9938ddd88..000000000
--- a/data/hfopenllm_v2/icefog72/Ice0.68-25.01-RP/dd7cb16f-0752-4639-aa99-90b9be448295.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/icefog72_Ice0.68-25.01-RP/1762652580.2190669",
-  "retrieved_timestamp": "1762652580.2190678",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "icefog72/Ice0.68-25.01-RP",
-    "developer": "icefog72",
-    "inference_platform": "unknown",
-    "id": "icefog72/Ice0.68-25.01-RP",
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5513714721383707
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3104026845637584
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.44456249999999997
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
-        "score": 0.3011968085106383
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-    }
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-}
diff --git a/data/hfopenllm_v2/icefog72/Ice0.69-25.01-RP/5bb2e77f-7709-4eb8-bd08-3c8da4a56310.json b/data/hfopenllm_v2/icefog72/Ice0.69-25.01-RP/5bb2e77f-7709-4eb8-bd08-3c8da4a56310.json
new file mode 100644
index 000000000..87263c5f0
--- /dev/null
+++ b/data/hfopenllm_v2/icefog72/Ice0.69-25.01-RP/5bb2e77f-7709-4eb8-bd08-3c8da4a56310.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/icefog72_Ice0.69-25.01-RP/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Ice0.69-25.01-RP",
+    "id": "icefog72/Ice0.69-25.01-RP",
+    "developer": "icefog72",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5438
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5098
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0566
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3129
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4486
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2965
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/icefog72/Ice0.69-25.01-RP/643da0d0-176a-40dd-b096-5aac8de827e9.json b/data/hfopenllm_v2/icefog72/Ice0.69-25.01-RP/643da0d0-176a-40dd-b096-5aac8de827e9.json
deleted file mode 100644
index 8735bb0bf..000000000
--- a/data/hfopenllm_v2/icefog72/Ice0.69-25.01-RP/643da0d0-176a-40dd-b096-5aac8de827e9.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/icefog72_Ice0.69-25.01-RP/1762652580.219263",
-  "retrieved_timestamp": "1762652580.219264",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "icefog72/Ice0.69-25.01-RP",
-    "developer": "icefog72",
-    "inference_platform": "unknown",
-    "id": "icefog72/Ice0.69-25.01-RP",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5437527981311808
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5097683665599672
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.31291946308724833
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4485625
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.29654255319148937
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/icefog72/Ice0.7-29.09-RP/35937213-bb16-4935-9d92-9fa8fd61aac3.json b/data/hfopenllm_v2/icefog72/Ice0.7-29.09-RP/35937213-bb16-4935-9d92-9fa8fd61aac3.json
new file mode 100644
index 000000000..88704a4a5
--- /dev/null
+++ b/data/hfopenllm_v2/icefog72/Ice0.7-29.09-RP/35937213-bb16-4935-9d92-9fa8fd61aac3.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/icefog72_Ice0.7-29.09-RP/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Ice0.7-29.09-RP",
+    "id": "icefog72/Ice0.7-29.09-RP",
+    "developer": "icefog72",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5176
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5048
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0665
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2878
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4238
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3127
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/icefog72/Ice0.7-29.09-RP/9c6cf7a1-1a17-4070-9ce3-633461334f42.json b/data/hfopenllm_v2/icefog72/Ice0.7-29.09-RP/9c6cf7a1-1a17-4070-9ce3-633461334f42.json
deleted file mode 100644
index 04253b009..000000000
--- a/data/hfopenllm_v2/icefog72/Ice0.7-29.09-RP/9c6cf7a1-1a17-4070-9ce3-633461334f42.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/icefog72_Ice0.7-29.09-RP/1762652580.2194638",
-  "retrieved_timestamp": "1762652580.219465",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "icefog72/Ice0.7-29.09-RP",
-    "developer": "icefog72",
-    "inference_platform": "unknown",
-    "id": "icefog72/Ice0.7-29.09-RP",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5175744801570943
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5047661992357916
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.06646525679758308
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.287751677852349
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4237916666666666
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3126662234042553
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/icefog72/Ice0.70-25.01-RP/04122d1b-929d-439c-bb8d-f08508f7a00e.json b/data/hfopenllm_v2/icefog72/Ice0.70-25.01-RP/04122d1b-929d-439c-bb8d-f08508f7a00e.json
new file mode 100644
index 000000000..57317f5c1
--- /dev/null
+++ b/data/hfopenllm_v2/icefog72/Ice0.70-25.01-RP/04122d1b-929d-439c-bb8d-f08508f7a00e.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/icefog72_Ice0.70-25.01-RP/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Ice0.70-25.01-RP",
+    "id": "icefog72/Ice0.70-25.01-RP",
+    "developer": "icefog72",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5498
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5136
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0597
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3079
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4512
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2996
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/icefog72/Ice0.70-25.01-RP/e109acd0-c7e3-4a9f-8e06-c428b95acc83.json b/data/hfopenllm_v2/icefog72/Ice0.70-25.01-RP/e109acd0-c7e3-4a9f-8e06-c428b95acc83.json
deleted file mode 100644
index 1d447e3ab..000000000
--- a/data/hfopenllm_v2/icefog72/Ice0.70-25.01-RP/e109acd0-c7e3-4a9f-8e06-c428b95acc83.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/icefog72_Ice0.70-25.01-RP/1762652580.2196732",
-  "retrieved_timestamp": "1762652580.219674",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "icefog72/Ice0.70-25.01-RP",
-    "developer": "icefog72",
-    "inference_platform": "unknown",
-    "id": "icefog72/Ice0.70-25.01-RP",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.549797869652522
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.513632436415875
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.05966767371601209
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30788590604026844
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.45119791666666664
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2996176861702128
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/icefog72/Ice0.70.1-01.02-RP/03beb242-2628-4ea0-a2f3-c3ec43d379de.json b/data/hfopenllm_v2/icefog72/Ice0.70.1-01.02-RP/03beb242-2628-4ea0-a2f3-c3ec43d379de.json
new file mode 100644
index 000000000..72031f33b
--- /dev/null
+++ b/data/hfopenllm_v2/icefog72/Ice0.70.1-01.02-RP/03beb242-2628-4ea0-a2f3-c3ec43d379de.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/icefog72_Ice0.70.1-01.02-RP/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Ice0.70.1-01.02-RP",
+    "id": "icefog72/Ice0.70.1-01.02-RP",
+    "developer": "icefog72",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.507
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.506
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.034
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2978
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4599
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2749
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/icefog72/Ice0.70.1-01.02-RP/ee088f70-5734-4951-8bc0-e0579a053fd2.json b/data/hfopenllm_v2/icefog72/Ice0.70.1-01.02-RP/ee088f70-5734-4951-8bc0-e0579a053fd2.json
deleted file mode 100644
index 8881b0c9c..000000000
--- a/data/hfopenllm_v2/icefog72/Ice0.70.1-01.02-RP/ee088f70-5734-4951-8bc0-e0579a053fd2.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/icefog72_Ice0.70.1-01.02-RP/1762652580.219877",
-  "retrieved_timestamp": "1762652580.219877",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "icefog72/Ice0.70.1-01.02-RP",
-    "developer": "icefog72",
-    "inference_platform": "unknown",
-    "id": "icefog72/Ice0.70.1-01.02-RP",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5069582042314393
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5059798926804829
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.033987915407854986
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2978187919463087
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4599166666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2748503989361702
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/icefog72/Ice0.73-01.02-RP/46d55b7b-1972-4cb0-97ca-e04d306282a7.json b/data/hfopenllm_v2/icefog72/Ice0.73-01.02-RP/46d55b7b-1972-4cb0-97ca-e04d306282a7.json
new file mode 100644
index 000000000..6f985e2ba
--- /dev/null
+++ b/data/hfopenllm_v2/icefog72/Ice0.73-01.02-RP/46d55b7b-1972-4cb0-97ca-e04d306282a7.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/icefog72_Ice0.73-01.02-RP/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Ice0.73-01.02-RP",
+    "id": "icefog72/Ice0.73-01.02-RP",
+    "developer": "icefog72",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5292
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5103
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0385
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2911
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4664
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2702
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/icefog72/Ice0.73-01.02-RP/ba7bf09f-b7a1-4fd4-b262-4929a81da34a.json b/data/hfopenllm_v2/icefog72/Ice0.73-01.02-RP/ba7bf09f-b7a1-4fd4-b262-4929a81da34a.json
deleted file mode 100644
index d044a764d..000000000
--- a/data/hfopenllm_v2/icefog72/Ice0.73-01.02-RP/ba7bf09f-b7a1-4fd4-b262-4929a81da34a.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/icefog72_Ice0.73-01.02-RP/1762652580.220075",
-  "retrieved_timestamp": "1762652580.220076",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "icefog72/Ice0.73-01.02-RP",
-    "developer": "icefog72",
-    "inference_platform": "unknown",
-    "id": "icefog72/Ice0.73-01.02-RP",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.529164838184905
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5103425890792322
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.03851963746223565
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2911073825503356
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
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-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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diff --git a/data/hfopenllm_v2/icefog72/Ice0.74-02.02-RP/32730d82-cfac-481f-9a22-9cbe40646218.json b/data/hfopenllm_v2/icefog72/Ice0.74-02.02-RP/32730d82-cfac-481f-9a22-9cbe40646218.json
new file mode 100644
index 000000000..db1bba27d
--- /dev/null
+++ b/data/hfopenllm_v2/icefog72/Ice0.74-02.02-RP/32730d82-cfac-481f-9a22-9cbe40646218.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/icefog72_Ice0.74-02.02-RP/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Ice0.74-02.02-RP",
+    "id": "icefog72/Ice0.74-02.02-RP",
+    "developer": "icefog72",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2935
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4646
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0015
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2961
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.428
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2143
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/icefog72/Ice0.74-02.02-RP/7470c7d4-80fe-4e88-a695-c628f9ed3682.json b/data/hfopenllm_v2/icefog72/Ice0.74-02.02-RP/7470c7d4-80fe-4e88-a695-c628f9ed3682.json
deleted file mode 100644
index 2f7afa0bd..000000000
--- a/data/hfopenllm_v2/icefog72/Ice0.74-02.02-RP/7470c7d4-80fe-4e88-a695-c628f9ed3682.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/icefog72_Ice0.74-02.02-RP/1762652580.220269",
-  "retrieved_timestamp": "1762652580.2202702",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "icefog72/Ice0.74-02.02-RP",
-    "developer": "icefog72",
-    "inference_platform": "unknown",
-    "id": "icefog72/Ice0.74-02.02-RP",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2935344884905384
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4646134965075064
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.0015105740181268882
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2961409395973154
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42804166666666665
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.21434507978723405
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/icefog72/Ice0.76-02.02-RP/701743bb-1ddf-4810-824a-38959d4a0e02.json b/data/hfopenllm_v2/icefog72/Ice0.76-02.02-RP/701743bb-1ddf-4810-824a-38959d4a0e02.json
deleted file mode 100644
index 3106131ee..000000000
--- a/data/hfopenllm_v2/icefog72/Ice0.76-02.02-RP/701743bb-1ddf-4810-824a-38959d4a0e02.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/icefog72_Ice0.76-02.02-RP/1762652580.220735",
-  "retrieved_timestamp": "1762652580.220737",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "icefog72/Ice0.76-02.02-RP",
-    "developer": "icefog72",
-    "inference_platform": "unknown",
-    "id": "icefog72/Ice0.76-02.02-RP",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.45290274250100837
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5085610407875073
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
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-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.28691275167785235
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.43616666666666665
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2652094414893617
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/icefog72/Ice0.76-02.02-RP/a290a75f-753b-489d-87a2-ce0637c09f41.json b/data/hfopenllm_v2/icefog72/Ice0.76-02.02-RP/a290a75f-753b-489d-87a2-ce0637c09f41.json
new file mode 100644
index 000000000..9c170c9cd
--- /dev/null
+++ b/data/hfopenllm_v2/icefog72/Ice0.76-02.02-RP/a290a75f-753b-489d-87a2-ce0637c09f41.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/icefog72_Ice0.76-02.02-RP/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Ice0.76-02.02-RP",
+    "id": "icefog72/Ice0.76-02.02-RP",
+    "developer": "icefog72",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4529
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5086
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0144
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2869
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4362
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2652
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/icefog72/Ice0.77-02.02-RP/0eebefc6-138f-4af5-a8b6-a35c798a38cb.json b/data/hfopenllm_v2/icefog72/Ice0.77-02.02-RP/0eebefc6-138f-4af5-a8b6-a35c798a38cb.json
deleted file mode 100644
index 612ed641a..000000000
--- a/data/hfopenllm_v2/icefog72/Ice0.77-02.02-RP/0eebefc6-138f-4af5-a8b6-a35c798a38cb.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/icefog72_Ice0.77-02.02-RP/1762652580.221007",
-  "retrieved_timestamp": "1762652580.2210078",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "icefog72/Ice0.77-02.02-RP",
-    "developer": "icefog72",
-    "inference_platform": "unknown",
-    "id": "icefog72/Ice0.77-02.02-RP",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5309633993359841
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5109257300160749
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.03927492447129909
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.28523489932885904
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4765
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.29986702127659576
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/icefog72/Ice0.77-02.02-RP/54032eb0-c4cd-4c76-be2e-f0c81bd26365.json b/data/hfopenllm_v2/icefog72/Ice0.77-02.02-RP/54032eb0-c4cd-4c76-be2e-f0c81bd26365.json
new file mode 100644
index 000000000..d50d5a736
--- /dev/null
+++ b/data/hfopenllm_v2/icefog72/Ice0.77-02.02-RP/54032eb0-c4cd-4c76-be2e-f0c81bd26365.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/icefog72_Ice0.77-02.02-RP/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Ice0.77-02.02-RP",
+    "id": "icefog72/Ice0.77-02.02-RP",
+    "developer": "icefog72",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.531
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5109
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0393
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2852
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4765
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2999
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/icefog72/Ice0.78-02.02-RP/73b59506-cc1d-413c-a28b-d25e0e6bf413.json b/data/hfopenllm_v2/icefog72/Ice0.78-02.02-RP/73b59506-cc1d-413c-a28b-d25e0e6bf413.json
new file mode 100644
index 000000000..cbf1db27b
--- /dev/null
+++ b/data/hfopenllm_v2/icefog72/Ice0.78-02.02-RP/73b59506-cc1d-413c-a28b-d25e0e6bf413.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/icefog72_Ice0.78-02.02-RP/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Ice0.78-02.02-RP",
+    "id": "icefog72/Ice0.78-02.02-RP",
+    "developer": "icefog72",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4053
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5002
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0438
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2936
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4686
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2955
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/icefog72/Ice0.78-02.02-RP/ec943fa1-b138-46e8-b1ae-c9a476c73ed1.json b/data/hfopenllm_v2/icefog72/Ice0.78-02.02-RP/ec943fa1-b138-46e8-b1ae-c9a476c73ed1.json
deleted file mode 100644
index 7963da79b..000000000
--- a/data/hfopenllm_v2/icefog72/Ice0.78-02.02-RP/ec943fa1-b138-46e8-b1ae-c9a476c73ed1.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/icefog72_Ice0.78-02.02-RP/1762652580.221266",
-  "retrieved_timestamp": "1762652580.221267",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "icefog72/Ice0.78-02.02-RP",
-    "developer": "icefog72",
-    "inference_platform": "unknown",
-    "id": "icefog72/Ice0.78-02.02-RP",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.405292401937969
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5002126961381052
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.04380664652567976
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2936241610738255
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.468625
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2954621010638298
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/icefog72/Ice0.80-03.02-RP/847b4e14-a07c-45ed-b2eb-ecea0f80147b.json b/data/hfopenllm_v2/icefog72/Ice0.80-03.02-RP/847b4e14-a07c-45ed-b2eb-ecea0f80147b.json
deleted file mode 100644
index cf628629d..000000000
--- a/data/hfopenllm_v2/icefog72/Ice0.80-03.02-RP/847b4e14-a07c-45ed-b2eb-ecea0f80147b.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/icefog72_Ice0.80-03.02-RP/1762652580.2214909",
-  "retrieved_timestamp": "1762652580.221492",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "icefog72/Ice0.80-03.02-RP",
-    "developer": "icefog72",
-    "inference_platform": "unknown",
-    "id": "icefog72/Ice0.80-03.02-RP",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5516462984880118
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5097962218679292
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.055891238670694864
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2785234899328859
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4923125
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2912234042553192
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/icefog72/Ice0.80-03.02-RP/bea2dcd6-4772-4aac-bcbc-4802cfb33495.json b/data/hfopenllm_v2/icefog72/Ice0.80-03.02-RP/bea2dcd6-4772-4aac-bcbc-4802cfb33495.json
new file mode 100644
index 000000000..1c2303ea6
--- /dev/null
+++ b/data/hfopenllm_v2/icefog72/Ice0.80-03.02-RP/bea2dcd6-4772-4aac-bcbc-4802cfb33495.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/icefog72_Ice0.80-03.02-RP/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Ice0.80-03.02-RP",
+    "id": "icefog72/Ice0.80-03.02-RP",
+    "developer": "icefog72",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5516
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5098
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0559
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2785
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4923
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2912
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/icefog72/IceCocoaRP-7b/5427828d-b53d-4e44-82ed-df6a9c0f9a47.json b/data/hfopenllm_v2/icefog72/IceCocoaRP-7b/5427828d-b53d-4e44-82ed-df6a9c0f9a47.json
deleted file mode 100644
index 505829224..000000000
--- a/data/hfopenllm_v2/icefog72/IceCocoaRP-7b/5427828d-b53d-4e44-82ed-df6a9c0f9a47.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/icefog72_IceCocoaRP-7b/1762652580.2217228",
-  "retrieved_timestamp": "1762652580.2217238",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "icefog72/IceCocoaRP-7b",
-    "developer": "icefog72",
-    "inference_platform": "unknown",
-    "id": "icefog72/IceCocoaRP-7b",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
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-        "score_type": "continuous",
-        "min_score": 0,
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-      "score_details": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-}
diff --git a/data/hfopenllm_v2/icefog72/IceCocoaRP-7b/66275215-28e6-42bc-bc22-5d152682ce53.json b/data/hfopenllm_v2/icefog72/IceCocoaRP-7b/66275215-28e6-42bc-bc22-5d152682ce53.json
new file mode 100644
index 000000000..481d7723a
--- /dev/null
+++ b/data/hfopenllm_v2/icefog72/IceCocoaRP-7b/66275215-28e6-42bc-bc22-5d152682ce53.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/icefog72_IceCocoaRP-7b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "IceCocoaRP-7b",
+    "id": "icefog72/IceCocoaRP-7b",
+    "developer": "icefog72",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4962
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4938
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0574
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2953
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4198
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3098
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/icefog72/IceCoffeeRP-7b/9015365c-400b-4fa3-85f2-a1033b030cf7.json b/data/hfopenllm_v2/icefog72/IceCoffeeRP-7b/9015365c-400b-4fa3-85f2-a1033b030cf7.json
new file mode 100644
index 000000000..dd02fc052
--- /dev/null
+++ b/data/hfopenllm_v2/icefog72/IceCoffeeRP-7b/9015365c-400b-4fa3-85f2-a1033b030cf7.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/icefog72_IceCoffeeRP-7b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "IceCoffeeRP-7b",
+    "id": "icefog72/IceCoffeeRP-7b",
+    "developer": "icefog72",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4959
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4889
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0544
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2852
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.416
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2975
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/icefog72/IceCoffeeRP-7b/bf5e2b11-79ce-49ed-947b-fb34110a3802.json b/data/hfopenllm_v2/icefog72/IceCoffeeRP-7b/bf5e2b11-79ce-49ed-947b-fb34110a3802.json
deleted file mode 100644
index 187ee6f4c..000000000
--- a/data/hfopenllm_v2/icefog72/IceCoffeeRP-7b/bf5e2b11-79ce-49ed-947b-fb34110a3802.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/icefog72_IceCoffeeRP-7b/1762652580.2220101",
-  "retrieved_timestamp": "1762652580.2220109",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "icefog72/IceCoffeeRP-7b",
-    "developer": "icefog72",
-    "inference_platform": "unknown",
-    "id": "icefog72/IceCoffeeRP-7b",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4959174989029109
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.48887216244327214
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.054380664652567974
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.28523489932885904
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4159791666666666
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2974567819148936
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/icefog72/IceDrinkByFrankensteinV3RP/39325b65-ad12-44ef-a1bf-ffe9e870ced8.json b/data/hfopenllm_v2/icefog72/IceDrinkByFrankensteinV3RP/39325b65-ad12-44ef-a1bf-ffe9e870ced8.json
deleted file mode 100644
index b9c880773..000000000
--- a/data/hfopenllm_v2/icefog72/IceDrinkByFrankensteinV3RP/39325b65-ad12-44ef-a1bf-ffe9e870ced8.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/icefog72_IceDrinkByFrankensteinV3RP/1762652580.222236",
-  "retrieved_timestamp": "1762652580.222236",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "icefog72/IceDrinkByFrankensteinV3RP",
-    "developer": "icefog72",
-    "inference_platform": "unknown",
-    "id": "icefog72/IceDrinkByFrankensteinV3RP",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4974911013887596
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4832523723413275
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.05060422960725076
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.26174496644295303
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4253125
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.292719414893617
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/icefog72/IceDrinkByFrankensteinV3RP/55d52914-0904-4e6e-8b37-c22b06f5f2bf.json b/data/hfopenllm_v2/icefog72/IceDrinkByFrankensteinV3RP/55d52914-0904-4e6e-8b37-c22b06f5f2bf.json
new file mode 100644
index 000000000..ccf1b184c
--- /dev/null
+++ b/data/hfopenllm_v2/icefog72/IceDrinkByFrankensteinV3RP/55d52914-0904-4e6e-8b37-c22b06f5f2bf.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/icefog72_IceDrinkByFrankensteinV3RP/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "IceDrinkByFrankensteinV3RP",
+    "id": "icefog72/IceDrinkByFrankensteinV3RP",
+    "developer": "icefog72",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4975
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4833
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0506
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+      }
+    },
+    {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4253
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+      }
+    }
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/icefog72/IceDrinkNameGoesHereRP-7b-Model_Stock/3677260a-2fd5-41bf-9010-f1b31cedacbc.json b/data/hfopenllm_v2/icefog72/IceDrinkNameGoesHereRP-7b-Model_Stock/3677260a-2fd5-41bf-9010-f1b31cedacbc.json
new file mode 100644
index 000000000..24025b247
--- /dev/null
+++ b/data/hfopenllm_v2/icefog72/IceDrinkNameGoesHereRP-7b-Model_Stock/3677260a-2fd5-41bf-9010-f1b31cedacbc.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/icefog72_IceDrinkNameGoesHereRP-7b-Model_Stock/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "IceDrinkNameGoesHereRP-7b-Model_Stock",
+    "id": "icefog72/IceDrinkNameGoesHereRP-7b-Model_Stock",
+    "developer": "icefog72",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
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+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
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+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4658
+      }
+    },
+    {
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+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4067
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2817
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/icefog72/IceDrinkNameGoesHereRP-7b-Model_Stock/b0aaf6e9-ffe3-4de9-b3f5-c33d52b59ed2.json b/data/hfopenllm_v2/icefog72/IceDrinkNameGoesHereRP-7b-Model_Stock/b0aaf6e9-ffe3-4de9-b3f5-c33d52b59ed2.json
deleted file mode 100644
index ed7d156d7..000000000
--- a/data/hfopenllm_v2/icefog72/IceDrinkNameGoesHereRP-7b-Model_Stock/b0aaf6e9-ffe3-4de9-b3f5-c33d52b59ed2.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/icefog72_IceDrinkNameGoesHereRP-7b-Model_Stock/1762652580.2224698",
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-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
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-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
-    "name": "icefog72/IceDrinkNameGoesHereRP-7b-Model_Stock",
-    "developer": "icefog72",
-    "inference_platform": "unknown",
-    "id": "icefog72/IceDrinkNameGoesHereRP-7b-Model_Stock",
-    "additional_details": {
-      "precision": "bfloat16",
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-    {
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-        "score_type": "continuous",
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-        "lower_is_better": false,
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-        "lower_is_better": false,
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-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2816655585106383
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/icefog72/IceDrinkNameNotFoundRP-7b-Model_Stock/f0e6fa5e-20c2-407d-8301-70d86cb1a51f.json b/data/hfopenllm_v2/icefog72/IceDrinkNameNotFoundRP-7b-Model_Stock/f0e6fa5e-20c2-407d-8301-70d86cb1a51f.json
deleted file mode 100644
index 5f0226fc9..000000000
--- a/data/hfopenllm_v2/icefog72/IceDrinkNameNotFoundRP-7b-Model_Stock/f0e6fa5e-20c2-407d-8301-70d86cb1a51f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/icefog72_IceDrinkNameNotFoundRP-7b-Model_Stock/1762652580.2227032",
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-  "source_data": [
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-  "source_metadata": {
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
-    "name": "icefog72/IceDrinkNameNotFoundRP-7b-Model_Stock",
-    "developer": "icefog72",
-    "inference_platform": "unknown",
-    "id": "icefog72/IceDrinkNameNotFoundRP-7b-Model_Stock",
-    "additional_details": {
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-      "architecture": "MistralForCausalLM",
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-    {
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-        "score_type": "continuous",
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-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-}
diff --git a/data/hfopenllm_v2/icefog72/IceDrinkNameNotFoundRP-7b-Model_Stock/fc54f87a-2e4a-4f3f-b407-e268c4487d16.json b/data/hfopenllm_v2/icefog72/IceDrinkNameNotFoundRP-7b-Model_Stock/fc54f87a-2e4a-4f3f-b407-e268c4487d16.json
new file mode 100644
index 000000000..2746a283f
--- /dev/null
+++ b/data/hfopenllm_v2/icefog72/IceDrinkNameNotFoundRP-7b-Model_Stock/fc54f87a-2e4a-4f3f-b407-e268c4487d16.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/icefog72_IceDrinkNameNotFoundRP-7b-Model_Stock/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "IceDrinkNameNotFoundRP-7b-Model_Stock",
+    "id": "icefog72/IceDrinkNameNotFoundRP-7b-Model_Stock",
+    "developer": "icefog72",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.513
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+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5026
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0604
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+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2777
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4372
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+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3064
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/icefog72/IceDrunkCherryRP-7b/8d893736-1707-4c0b-860d-16c62ec26d78.json b/data/hfopenllm_v2/icefog72/IceDrunkCherryRP-7b/8d893736-1707-4c0b-860d-16c62ec26d78.json
new file mode 100644
index 000000000..fdf69bdb5
--- /dev/null
+++ b/data/hfopenllm_v2/icefog72/IceDrunkCherryRP-7b/8d893736-1707-4c0b-860d-16c62ec26d78.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/icefog72_IceDrunkCherryRP-7b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "IceDrunkCherryRP-7b",
+    "id": "icefog72/IceDrunkCherryRP-7b",
+    "developer": "icefog72",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4898
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4847
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+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0612
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+    },
+    {
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+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
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+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2768
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+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4292
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3009
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/icefog72/IceDrunkCherryRP-7b/c0e3f4ee-52dc-45c3-844a-8cc4e4520f24.json b/data/hfopenllm_v2/icefog72/IceDrunkCherryRP-7b/c0e3f4ee-52dc-45c3-844a-8cc4e4520f24.json
deleted file mode 100644
index 30d18f2b2..000000000
--- a/data/hfopenllm_v2/icefog72/IceDrunkCherryRP-7b/c0e3f4ee-52dc-45c3-844a-8cc4e4520f24.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/icefog72_IceDrunkCherryRP-7b/1762652580.222923",
-  "retrieved_timestamp": "1762652580.222924",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "icefog72/IceDrunkCherryRP-7b",
-    "developer": "icefog72",
-    "inference_platform": "unknown",
-    "id": "icefog72/IceDrunkCherryRP-7b",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.48982255969715904
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4846629039263151
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.06117824773413897
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.27684563758389263
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4291875
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3009474734042553
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/icefog72/IceDrunkenCherryRP-7b/9d1e6b55-aa7c-4fea-8a77-92795c0ee60a.json b/data/hfopenllm_v2/icefog72/IceDrunkenCherryRP-7b/9d1e6b55-aa7c-4fea-8a77-92795c0ee60a.json
deleted file mode 100644
index cf1259e5a..000000000
--- a/data/hfopenllm_v2/icefog72/IceDrunkenCherryRP-7b/9d1e6b55-aa7c-4fea-8a77-92795c0ee60a.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/icefog72_IceDrunkenCherryRP-7b/1762652580.223197",
-  "retrieved_timestamp": "1762652580.223207",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "icefog72/IceDrunkenCherryRP-7b",
-    "developer": "icefog72",
-    "inference_platform": "unknown",
-    "id": "icefog72/IceDrunkenCherryRP-7b",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4762585495374495
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.509308586549064
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.06419939577039276
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3070469798657718
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.44459374999999995
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30992353723404253
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/icefog72/IceDrunkenCherryRP-7b/d3d2728f-74bf-4196-a909-43797d8b628a.json b/data/hfopenllm_v2/icefog72/IceDrunkenCherryRP-7b/d3d2728f-74bf-4196-a909-43797d8b628a.json
new file mode 100644
index 000000000..2dca8d588
--- /dev/null
+++ b/data/hfopenllm_v2/icefog72/IceDrunkenCherryRP-7b/d3d2728f-74bf-4196-a909-43797d8b628a.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/icefog72_IceDrunkenCherryRP-7b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "IceDrunkenCherryRP-7b",
+    "id": "icefog72/IceDrunkenCherryRP-7b",
+    "developer": "icefog72",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4763
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5093
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0642
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.307
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4446
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3099
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/icefog72/IceEspressoRPv2-7b/ade14c35-442b-4a0a-8345-99b7b58dc194.json b/data/hfopenllm_v2/icefog72/IceEspressoRPv2-7b/ade14c35-442b-4a0a-8345-99b7b58dc194.json
deleted file mode 100644
index 08a05dc9b..000000000
--- a/data/hfopenllm_v2/icefog72/IceEspressoRPv2-7b/ade14c35-442b-4a0a-8345-99b7b58dc194.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/icefog72_IceEspressoRPv2-7b/1762652580.223459",
-  "retrieved_timestamp": "1762652580.2234602",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "icefog72/IceEspressoRPv2-7b",
-    "developer": "icefog72",
-    "inference_platform": "unknown",
-    "id": "icefog72/IceEspressoRPv2-7b",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4977160600539901
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5054890156350785
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.061933534743202415
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.28942953020134227
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.43306249999999996
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3061003989361702
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/icefog72/IceEspressoRPv2-7b/ed241e67-8718-48be-a6e8-19e295a2b5cd.json b/data/hfopenllm_v2/icefog72/IceEspressoRPv2-7b/ed241e67-8718-48be-a6e8-19e295a2b5cd.json
new file mode 100644
index 000000000..1ca2a66f9
--- /dev/null
+++ b/data/hfopenllm_v2/icefog72/IceEspressoRPv2-7b/ed241e67-8718-48be-a6e8-19e295a2b5cd.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/icefog72_IceEspressoRPv2-7b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "IceEspressoRPv2-7b",
+    "id": "icefog72/IceEspressoRPv2-7b",
+    "developer": "icefog72",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4977
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5055
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0619
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2894
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4331
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3061
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/icefog72/IceLemonTeaRP-32k-7b/05aafad3-e07a-453b-a70b-f18fbd4eb218.json b/data/hfopenllm_v2/icefog72/IceLemonTeaRP-32k-7b/05aafad3-e07a-453b-a70b-f18fbd4eb218.json
new file mode 100644
index 000000000..751ec205c
--- /dev/null
+++ b/data/hfopenllm_v2/icefog72/IceLemonTeaRP-32k-7b/05aafad3-e07a-453b-a70b-f18fbd4eb218.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/icefog72_IceLemonTeaRP-32k-7b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "IceLemonTeaRP-32k-7b",
+    "id": "icefog72/IceLemonTeaRP-32k-7b",
+    "developer": "icefog72",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5212
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4997
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0544
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2903
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.429
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3068
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/icefog72/IceLemonTeaRP-32k-7b/fd90b65b-7b6f-4ca2-93e3-59486c0ee070.json b/data/hfopenllm_v2/icefog72/IceLemonTeaRP-32k-7b/fd90b65b-7b6f-4ca2-93e3-59486c0ee070.json
deleted file mode 100644
index 27b3dcd30..000000000
--- a/data/hfopenllm_v2/icefog72/IceLemonTeaRP-32k-7b/fd90b65b-7b6f-4ca2-93e3-59486c0ee070.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/icefog72_IceLemonTeaRP-32k-7b/1762652580.2236779",
-  "retrieved_timestamp": "1762652580.223679",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "icefog72/IceLemonTeaRP-32k-7b",
-    "developer": "icefog72",
-    "inference_platform": "unknown",
-    "id": "icefog72/IceLemonTeaRP-32k-7b",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5212214701436633
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.49973852418379305
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.054380664652567974
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2902684563758389
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42903125
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3067652925531915
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/icefog72/IceMartiniRP-7b/210bea5c-35de-4bd6-93db-871704add0d6.json b/data/hfopenllm_v2/icefog72/IceMartiniRP-7b/210bea5c-35de-4bd6-93db-871704add0d6.json
deleted file mode 100644
index 787a38b2b..000000000
--- a/data/hfopenllm_v2/icefog72/IceMartiniRP-7b/210bea5c-35de-4bd6-93db-871704add0d6.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/icefog72_IceMartiniRP-7b/1762652580.223922",
-  "retrieved_timestamp": "1762652580.223923",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "icefog72/IceMartiniRP-7b",
-    "developer": "icefog72",
-    "inference_platform": "unknown",
-    "id": "icefog72/IceMartiniRP-7b",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5044603873278457
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4972421837639585
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.06646525679758308
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.27936241610738255
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4344895833333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3073470744680851
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/icefog72/IceMartiniRP-7b/f79ac32e-ab83-40c3-9c18-35623f5ae1d4.json b/data/hfopenllm_v2/icefog72/IceMartiniRP-7b/f79ac32e-ab83-40c3-9c18-35623f5ae1d4.json
new file mode 100644
index 000000000..e94d36e4e
--- /dev/null
+++ b/data/hfopenllm_v2/icefog72/IceMartiniRP-7b/f79ac32e-ab83-40c3-9c18-35623f5ae1d4.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/icefog72_IceMartiniRP-7b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "IceMartiniRP-7b",
+    "id": "icefog72/IceMartiniRP-7b",
+    "developer": "icefog72",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5045
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4972
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0665
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2794
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4345
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3073
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/icefog72/IceNalyvkaRP-7b/95dd235d-6930-48fd-8594-5acb0110be29.json b/data/hfopenllm_v2/icefog72/IceNalyvkaRP-7b/95dd235d-6930-48fd-8594-5acb0110be29.json
deleted file mode 100644
index 7f3356be0..000000000
--- a/data/hfopenllm_v2/icefog72/IceNalyvkaRP-7b/95dd235d-6930-48fd-8594-5acb0110be29.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/icefog72_IceNalyvkaRP-7b/1762652580.224114",
-  "retrieved_timestamp": "1762652580.224115",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "icefog72/IceNalyvkaRP-7b",
-    "developer": "icefog72",
-    "inference_platform": "unknown",
-    "id": "icefog72/IceNalyvkaRP-7b",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.549797869652522
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.513632436415875
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.05966767371601209
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30788590604026844
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.45119791666666664
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2996176861702128
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/icefog72/IceNalyvkaRP-7b/cec76b15-1069-4d37-b8bc-74dde28101f6.json b/data/hfopenllm_v2/icefog72/IceNalyvkaRP-7b/cec76b15-1069-4d37-b8bc-74dde28101f6.json
new file mode 100644
index 000000000..f70b98ac1
--- /dev/null
+++ b/data/hfopenllm_v2/icefog72/IceNalyvkaRP-7b/cec76b15-1069-4d37-b8bc-74dde28101f6.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/icefog72_IceNalyvkaRP-7b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "IceNalyvkaRP-7b",
+    "id": "icefog72/IceNalyvkaRP-7b",
+    "developer": "icefog72",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5498
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5136
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0597
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3079
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4512
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2996
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/icefog72/IceSakeRP-7b/67e351c8-6cca-4982-86e9-e774786c6862.json b/data/hfopenllm_v2/icefog72/IceSakeRP-7b/67e351c8-6cca-4982-86e9-e774786c6862.json
deleted file mode 100644
index 342c661e7..000000000
--- a/data/hfopenllm_v2/icefog72/IceSakeRP-7b/67e351c8-6cca-4982-86e9-e774786c6862.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/icefog72_IceSakeRP-7b/1762652580.2243059",
-  "retrieved_timestamp": "1762652580.224307",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "icefog72/IceSakeRP-7b",
-    "developer": "icefog72",
-    "inference_platform": "unknown",
-    "id": "icefog72/IceSakeRP-7b",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5227950726295119
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5119287057484642
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.0634441087613293
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.28523489932885904
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41300000000000003
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3176529255319149
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/icefog72/IceSakeRP-7b/e4ac0d0c-65ea-4b43-bb4b-7371c6cd5d61.json b/data/hfopenllm_v2/icefog72/IceSakeRP-7b/e4ac0d0c-65ea-4b43-bb4b-7371c6cd5d61.json
new file mode 100644
index 000000000..70a43f1aa
--- /dev/null
+++ b/data/hfopenllm_v2/icefog72/IceSakeRP-7b/e4ac0d0c-65ea-4b43-bb4b-7371c6cd5d61.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/icefog72_IceSakeRP-7b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "IceSakeRP-7b",
+    "id": "icefog72/IceSakeRP-7b",
+    "developer": "icefog72",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5228
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5119
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0634
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2852
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.413
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3177
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/icefog72/IceSakeV4RP-7b/93b5850f-74d0-45cd-977e-5bf6e4dc5d8d.json b/data/hfopenllm_v2/icefog72/IceSakeV4RP-7b/93b5850f-74d0-45cd-977e-5bf6e4dc5d8d.json
deleted file mode 100644
index 8f1ad1b71..000000000
--- a/data/hfopenllm_v2/icefog72/IceSakeV4RP-7b/93b5850f-74d0-45cd-977e-5bf6e4dc5d8d.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/icefog72_IceSakeV4RP-7b/1762652580.224551",
-  "retrieved_timestamp": "1762652580.224552",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "icefog72/IceSakeV4RP-7b",
-    "developer": "icefog72",
-    "inference_platform": "unknown",
-    "id": "icefog72/IceSakeV4RP-7b",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4634192830578421
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4929557826908731
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.055891238670694864
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.29446308724832215
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.40819791666666666
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.31025598404255317
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/icefog72/IceSakeV4RP-7b/f8d629bf-df0b-4c6a-8c18-17dda002b089.json b/data/hfopenllm_v2/icefog72/IceSakeV4RP-7b/f8d629bf-df0b-4c6a-8c18-17dda002b089.json
new file mode 100644
index 000000000..620f3fe56
--- /dev/null
+++ b/data/hfopenllm_v2/icefog72/IceSakeV4RP-7b/f8d629bf-df0b-4c6a-8c18-17dda002b089.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/icefog72_IceSakeV4RP-7b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "IceSakeV4RP-7b",
+    "id": "icefog72/IceSakeV4RP-7b",
+    "developer": "icefog72",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4634
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.493
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0559
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2945
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4082
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3103
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/icefog72/IceSakeV6RP-7b/6739d8e3-f4bd-4fd5-98f3-887f5ed3f9c0.json b/data/hfopenllm_v2/icefog72/IceSakeV6RP-7b/6739d8e3-f4bd-4fd5-98f3-887f5ed3f9c0.json
new file mode 100644
index 000000000..477e0dbce
--- /dev/null
+++ b/data/hfopenllm_v2/icefog72/IceSakeV6RP-7b/6739d8e3-f4bd-4fd5-98f3-887f5ed3f9c0.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/icefog72_IceSakeV6RP-7b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "IceSakeV6RP-7b",
+    "id": "icefog72/IceSakeV6RP-7b",
+    "developer": "icefog72",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5033
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4976
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0619
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2911
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.42
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3093
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/icefog72/IceSakeV6RP-7b/e9ebbcbf-81d5-494b-95a1-4e79feb42c40.json b/data/hfopenllm_v2/icefog72/IceSakeV6RP-7b/e9ebbcbf-81d5-494b-95a1-4e79feb42c40.json
deleted file mode 100644
index 317a9a0c1..000000000
--- a/data/hfopenllm_v2/icefog72/IceSakeV6RP-7b/e9ebbcbf-81d5-494b-95a1-4e79feb42c40.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/icefog72_IceSakeV6RP-7b/1762652580.224776",
-  "retrieved_timestamp": "1762652580.224777",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "icefog72/IceSakeV6RP-7b",
-    "developer": "icefog72",
-    "inference_platform": "unknown",
-    "id": "icefog72/IceSakeV6RP-7b",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5032613465604596
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.49760336362566354
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.061933534743202415
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2911073825503356
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42001041666666666
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3093417553191489
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/icefog72/IceSakeV8RP-7b/a51722f4-29f4-47a5-acba-4c8b5355551b.json b/data/hfopenllm_v2/icefog72/IceSakeV8RP-7b/a51722f4-29f4-47a5-acba-4c8b5355551b.json
new file mode 100644
index 000000000..7a5af5dc8
--- /dev/null
+++ b/data/hfopenllm_v2/icefog72/IceSakeV8RP-7b/a51722f4-29f4-47a5-acba-4c8b5355551b.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/icefog72_IceSakeV8RP-7b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "IceSakeV8RP-7b",
+    "id": "icefog72/IceSakeV8RP-7b",
+    "developer": "icefog72",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6086
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4885
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0597
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.276
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3993
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.301
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/icefog72/IceSakeV8RP-7b/dbeb9a8a-53c5-472b-a4b1-1aa0582f8486.json b/data/hfopenllm_v2/icefog72/IceSakeV8RP-7b/dbeb9a8a-53c5-472b-a4b1-1aa0582f8486.json
deleted file mode 100644
index 5b6f3efb8..000000000
--- a/data/hfopenllm_v2/icefog72/IceSakeV8RP-7b/dbeb9a8a-53c5-472b-a4b1-1aa0582f8486.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/icefog72_IceSakeV8RP-7b/1762652580.2249868",
-  "retrieved_timestamp": "1762652580.224988",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "icefog72/IceSakeV8RP-7b",
-    "developer": "icefog72",
-    "inference_platform": "unknown",
-    "id": "icefog72/IceSakeV8RP-7b",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6085741388404988
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.48847141337960176
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.05966767371601209
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.276006711409396
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3992708333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.301030585106383
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/icefog72/IceTea21EnergyDrinkRPV13-DPOv3.5/06d0a21f-f6e4-4ca9-a679-8c4502aaaad1.json b/data/hfopenllm_v2/icefog72/IceTea21EnergyDrinkRPV13-DPOv3.5/06d0a21f-f6e4-4ca9-a679-8c4502aaaad1.json
new file mode 100644
index 000000000..bf984e1a4
--- /dev/null
+++ b/data/hfopenllm_v2/icefog72/IceTea21EnergyDrinkRPV13-DPOv3.5/06d0a21f-f6e4-4ca9-a679-8c4502aaaad1.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/icefog72_IceTea21EnergyDrinkRPV13-DPOv3.5/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "IceTea21EnergyDrinkRPV13-DPOv3.5",
+    "id": "icefog72/IceTea21EnergyDrinkRPV13-DPOv3.5",
+    "developer": "icefog72",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4871
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.44
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0363
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2844
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3964
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2498
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/icefog72/IceTea21EnergyDrinkRPV13-DPOv3.5/f4d3a112-d529-48f8-a99e-85e9eb02e0c1.json b/data/hfopenllm_v2/icefog72/IceTea21EnergyDrinkRPV13-DPOv3.5/f4d3a112-d529-48f8-a99e-85e9eb02e0c1.json
deleted file mode 100644
index 7f19401d4..000000000
--- a/data/hfopenllm_v2/icefog72/IceTea21EnergyDrinkRPV13-DPOv3.5/f4d3a112-d529-48f8-a99e-85e9eb02e0c1.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/icefog72_IceTea21EnergyDrinkRPV13-DPOv3.5/1762652580.2254012",
-  "retrieved_timestamp": "1762652580.225402",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "icefog72/IceTea21EnergyDrinkRPV13-DPOv3.5",
-    "developer": "icefog72",
-    "inference_platform": "unknown",
-    "id": "icefog72/IceTea21EnergyDrinkRPV13-DPOv3.5",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.48709978412833504
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4399660013109026
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.03625377643504532
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.28439597315436244
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.24983377659574468
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/icefog72/IceTea21EnergyDrinkRPV13-DPOv3/04a4dcc9-3784-4aea-9faf-9db49c2e4c43.json b/data/hfopenllm_v2/icefog72/IceTea21EnergyDrinkRPV13-DPOv3/04a4dcc9-3784-4aea-9faf-9db49c2e4c43.json
new file mode 100644
index 000000000..87ff25f1f
--- /dev/null
+++ b/data/hfopenllm_v2/icefog72/IceTea21EnergyDrinkRPV13-DPOv3/04a4dcc9-3784-4aea-9faf-9db49c2e4c43.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/icefog72_IceTea21EnergyDrinkRPV13-DPOv3/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "IceTea21EnergyDrinkRPV13-DPOv3",
+    "id": "icefog72/IceTea21EnergyDrinkRPV13-DPOv3",
+    "developer": "icefog72",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5263
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.502
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0582
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2836
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4372
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3056
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/icefog72/IceTea21EnergyDrinkRPV13-DPOv3/4b4a9630-c942-445e-b396-4a988d489aa7.json b/data/hfopenllm_v2/icefog72/IceTea21EnergyDrinkRPV13-DPOv3/4b4a9630-c942-445e-b396-4a988d489aa7.json
deleted file mode 100644
index ddb6c82b8..000000000
--- a/data/hfopenllm_v2/icefog72/IceTea21EnergyDrinkRPV13-DPOv3/4b4a9630-c942-445e-b396-4a988d489aa7.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/icefog72_IceTea21EnergyDrinkRPV13-DPOv3/1762652580.225198",
-  "retrieved_timestamp": "1762652580.2251992",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "icefog72/IceTea21EnergyDrinkRPV13-DPOv3",
-    "developer": "icefog72",
-    "inference_platform": "unknown",
-    "id": "icefog72/IceTea21EnergyDrinkRPV13-DPOv3",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-        "min_score": 0,
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-    },
-    {
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-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4371875
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30560172872340424
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/ifable/gemma-2-Ifable-9B/e4668365-d3dd-4996-9bb1-5b4e6f510264.json b/data/hfopenllm_v2/ifable/gemma-2-Ifable-9B/e4668365-d3dd-4996-9bb1-5b4e6f510264.json
new file mode 100644
index 000000000..186f9833c
--- /dev/null
+++ b/data/hfopenllm_v2/ifable/gemma-2-Ifable-9B/e4668365-d3dd-4996-9bb1-5b4e6f510264.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/ifable_gemma-2-Ifable-9B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "gemma-2-Ifable-9B",
+    "id": "ifable/gemma-2-Ifable-9B",
+    "developer": "ifable",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Gemma2ForCausalLM",
+      "params_billions": 9.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2984
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5866
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1397
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3414
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4053
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4226
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/ilsp/Llama-Krikri-8B-Instruct/4d743678-e14d-4866-b1bf-0d660787847b.json b/data/hfopenllm_v2/ilsp/Llama-Krikri-8B-Instruct/4d743678-e14d-4866-b1bf-0d660787847b.json
new file mode 100644
index 000000000..4ae435b53
--- /dev/null
+++ b/data/hfopenllm_v2/ilsp/Llama-Krikri-8B-Instruct/4d743678-e14d-4866-b1bf-0d660787847b.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/ilsp_Llama-Krikri-8B-Instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-Krikri-8B-Instruct",
+    "id": "ilsp/Llama-Krikri-8B-Instruct",
+    "developer": "ilsp",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.202
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6079
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5047
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1178
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3029
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.408
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3313
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/ilsp/Llama-Krikri-8B-Instruct/592bd629-d0bf-48b0-83c6-abfa3731fd14.json b/data/hfopenllm_v2/ilsp/Llama-Krikri-8B-Instruct/592bd629-d0bf-48b0-83c6-abfa3731fd14.json
deleted file mode 100644
index 7e1f65583..000000000
--- a/data/hfopenllm_v2/ilsp/Llama-Krikri-8B-Instruct/592bd629-d0bf-48b0-83c6-abfa3731fd14.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/ilsp_Llama-Krikri-8B-Instruct/1762652580.225861",
-  "retrieved_timestamp": "1762652580.225861",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "ilsp/Llama-Krikri-8B-Instruct",
-    "developer": "ilsp",
-    "inference_platform": "unknown",
-    "id": "ilsp/Llama-Krikri-8B-Instruct",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.202
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-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6078748830879843
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-    },
-    {
-      "evaluation_name": "BBH",
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
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-    {
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-        "score_type": "continuous",
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-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3028523489932886
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4079791666666666
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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diff --git a/data/hfopenllm_v2/inflatebot/MN-12B-Mag-Mell-R1/43f7613d-bd9f-480d-a2ed-dcabf3169944.json b/data/hfopenllm_v2/inflatebot/MN-12B-Mag-Mell-R1/43f7613d-bd9f-480d-a2ed-dcabf3169944.json
deleted file mode 100644
index 66746c1f3..000000000
--- a/data/hfopenllm_v2/inflatebot/MN-12B-Mag-Mell-R1/43f7613d-bd9f-480d-a2ed-dcabf3169944.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/inflatebot_MN-12B-Mag-Mell-R1/1762652580.2261078",
-  "retrieved_timestamp": "1762652580.226109",
-  "source_data": [
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-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "inflatebot/MN-12B-Mag-Mell-R1",
-    "developer": "inflatebot",
-    "inference_platform": "unknown",
-    "id": "inflatebot/MN-12B-Mag-Mell-R1",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 12.248
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-    {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-    },
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-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-      "score_details": {
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-        "lower_is_better": false,
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-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
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-        "max_score": 1
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-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
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-        "max_score": 1
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diff --git a/data/hfopenllm_v2/inflatebot/MN-12B-Mag-Mell-R1/720b1476-876c-47d1-bf46-d037389b4b2f.json b/data/hfopenllm_v2/inflatebot/MN-12B-Mag-Mell-R1/720b1476-876c-47d1-bf46-d037389b4b2f.json
new file mode 100644
index 000000000..848ed7790
--- /dev/null
+++ b/data/hfopenllm_v2/inflatebot/MN-12B-Mag-Mell-R1/720b1476-876c-47d1-bf46-d037389b4b2f.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/inflatebot_MN-12B-Mag-Mell-R1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "MN-12B-Mag-Mell-R1",
+    "id": "inflatebot/MN-12B-Mag-Mell-R1",
+    "developer": "inflatebot",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 12.248
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4613
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5304
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1299
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3163
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4002
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3438
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/informatiker/Qwen2-7B-Instruct-abliterated/4e4f3b2d-5b17-486a-a2ab-c2e89194c765.json b/data/hfopenllm_v2/informatiker/Qwen2-7B-Instruct-abliterated/4e4f3b2d-5b17-486a-a2ab-c2e89194c765.json
new file mode 100644
index 000000000..69b688c62
--- /dev/null
+++ b/data/hfopenllm_v2/informatiker/Qwen2-7B-Instruct-abliterated/4e4f3b2d-5b17-486a-a2ab-c2e89194c765.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/informatiker_Qwen2-7B-Instruct-abliterated/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2-7B-Instruct-abliterated",
+    "id": "informatiker/Qwen2-7B-Instruct-abliterated",
+    "developer": "informatiker",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5822
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5534
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2636
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3012
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3888
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3873
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/informatiker/Qwen2-7B-Instruct-abliterated/be1ab009-3aa6-43da-8b8e-11e5287a0370.json b/data/hfopenllm_v2/informatiker/Qwen2-7B-Instruct-abliterated/be1ab009-3aa6-43da-8b8e-11e5287a0370.json
deleted file mode 100644
index 3774a2e2e..000000000
--- a/data/hfopenllm_v2/informatiker/Qwen2-7B-Instruct-abliterated/be1ab009-3aa6-43da-8b8e-11e5287a0370.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/informatiker_Qwen2-7B-Instruct-abliterated/1762652580.2263439",
-  "retrieved_timestamp": "1762652580.226345",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "informatiker/Qwen2-7B-Instruct-abliterated",
-    "developer": "informatiker",
-    "inference_platform": "unknown",
-    "id": "informatiker/Qwen2-7B-Instruct-abliterated",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.616
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5821708622011817
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5534265515936739
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3011744966442953
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.38879166666666665
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3873005319148936
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/insightfactory/Llama-3.2-3B-Instruct-unsloth-bnb-4bitlora_model/3986b43c-2752-4a8f-b1e1-c3657734f84b.json b/data/hfopenllm_v2/insightfactory/Llama-3.2-3B-Instruct-unsloth-bnb-4bitlora_model/3986b43c-2752-4a8f-b1e1-c3657734f84b.json
deleted file mode 100644
index 07951d559..000000000
--- a/data/hfopenllm_v2/insightfactory/Llama-3.2-3B-Instruct-unsloth-bnb-4bitlora_model/3986b43c-2752-4a8f-b1e1-c3657734f84b.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/insightfactory_Llama-3.2-3B-Instruct-unsloth-bnb-4bitlora_model/1762652580.226581",
-  "retrieved_timestamp": "1762652580.226582",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "insightfactory/Llama-3.2-3B-Instruct-unsloth-bnb-4bitlora_model",
-    "developer": "insightfactory",
-    "inference_platform": "unknown",
-    "id": "insightfactory/Llama-3.2-3B-Instruct-unsloth-bnb-4bitlora_model",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "",
-      "params_billions": 1.933
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.45884807865352817
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4146016381618061
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.10498489425981873
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.27181208053691275
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.349875
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2960438829787234
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/insightfactory/Llama-3.2-3B-Instruct-unsloth-bnb-4bitlora_model/b738668e-3ac1-4a36-ad71-ad7d2a5256ae.json b/data/hfopenllm_v2/insightfactory/Llama-3.2-3B-Instruct-unsloth-bnb-4bitlora_model/b738668e-3ac1-4a36-ad71-ad7d2a5256ae.json
new file mode 100644
index 000000000..35ea90e61
--- /dev/null
+++ b/data/hfopenllm_v2/insightfactory/Llama-3.2-3B-Instruct-unsloth-bnb-4bitlora_model/b738668e-3ac1-4a36-ad71-ad7d2a5256ae.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/insightfactory_Llama-3.2-3B-Instruct-unsloth-bnb-4bitlora_model/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-3.2-3B-Instruct-unsloth-bnb-4bitlora_model",
+    "id": "insightfactory/Llama-3.2-3B-Instruct-unsloth-bnb-4bitlora_model",
+    "developer": "insightfactory",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "",
+      "params_billions": 1.933
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4588
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4146
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.105
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2718
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3499
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.296
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/instruction-pretrain/InstructLM-500M/38ba0438-f5ed-434e-af2e-fed71988f7b9.json b/data/hfopenllm_v2/instruction-pretrain/InstructLM-500M/38ba0438-f5ed-434e-af2e-fed71988f7b9.json
deleted file mode 100644
index 069ab9f06..000000000
--- a/data/hfopenllm_v2/instruction-pretrain/InstructLM-500M/38ba0438-f5ed-434e-af2e-fed71988f7b9.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/instruction-pretrain_InstructLM-500M/1762652580.226826",
-  "retrieved_timestamp": "1762652580.226826",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "instruction-pretrain/InstructLM-500M",
-    "developer": "instruction-pretrain",
-    "inference_platform": "unknown",
-    "id": "instruction-pretrain/InstructLM-500M",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 0.5
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-    {
-      "evaluation_name": "MATH Level 5",
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-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.25671140939597314
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3528229166666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1141123670212766
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/instruction-pretrain/InstructLM-500M/623f1b73-1505-4527-b41c-dcb2b711226d.json b/data/hfopenllm_v2/instruction-pretrain/InstructLM-500M/623f1b73-1505-4527-b41c-dcb2b711226d.json
new file mode 100644
index 000000000..250a5012f
--- /dev/null
+++ b/data/hfopenllm_v2/instruction-pretrain/InstructLM-500M/623f1b73-1505-4527-b41c-dcb2b711226d.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/instruction-pretrain_InstructLM-500M/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "InstructLM-500M",
+    "id": "instruction-pretrain/InstructLM-500M",
+    "developer": "instruction-pretrain",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 0.5
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1028
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2941
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2567
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3528
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1141
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/internlm/internlm2-1_8b/53f03454-9587-4208-bc01-21de62f59195.json b/data/hfopenllm_v2/internlm/internlm2-1_8b/53f03454-9587-4208-bc01-21de62f59195.json
new file mode 100644
index 000000000..112c6e318
--- /dev/null
+++ b/data/hfopenllm_v2/internlm/internlm2-1_8b/53f03454-9587-4208-bc01-21de62f59195.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/internlm_internlm2-1_8b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "internlm2-1_8b",
+    "id": "internlm/internlm2-1_8b",
+    "developer": "internlm",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "InternLM2ForCausalLM",
+      "params_billions": 8.0
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2198
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.388
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0211
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2483
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3813
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1588
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/internlm/internlm2-1_8b/fc23ef4f-2ef1-4a3e-b029-9d646145e135.json b/data/hfopenllm_v2/internlm/internlm2-1_8b/fc23ef4f-2ef1-4a3e-b029-9d646145e135.json
deleted file mode 100644
index f1b14cd1a..000000000
--- a/data/hfopenllm_v2/internlm/internlm2-1_8b/fc23ef4f-2ef1-4a3e-b029-9d646145e135.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/internlm_internlm2-1_8b/1762652580.227062",
-  "retrieved_timestamp": "1762652580.227063",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "internlm/internlm2-1_8b",
-    "developer": "internlm",
-    "inference_platform": "unknown",
-    "id": "internlm/internlm2-1_8b",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "InternLM2ForCausalLM",
-      "params_billions": 8.0
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3879732800028095
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-    },
-    {
-      "evaluation_name": "GPQA",
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-        "score_type": "continuous",
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-        "max_score": 1
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-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.38128125
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.15882646276595744
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/internlm/internlm2-7b/d4bba57d-2a3c-4945-ae47-7830840d0259.json b/data/hfopenllm_v2/internlm/internlm2-7b/d4bba57d-2a3c-4945-ae47-7830840d0259.json
deleted file mode 100644
index 710d70ed6..000000000
--- a/data/hfopenllm_v2/internlm/internlm2-7b/d4bba57d-2a3c-4945-ae47-7830840d0259.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/internlm_internlm2-7b/1762652580.2273018",
-  "retrieved_timestamp": "1762652580.227303",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "internlm/internlm2-7b",
-    "developer": "internlm",
-    "inference_platform": "unknown",
-    "id": "internlm/internlm2-7b",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Unknown",
-      "params_billions": 0.0
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.22803680981595092
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-    {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-      "metric_config": {
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-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.33666666666666667
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.43999999999999995
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.19
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/internlm/internlm2-7b/fb38d8b4-6320-4b8d-bf3d-e3d22bb0ed83.json b/data/hfopenllm_v2/internlm/internlm2-7b/fb38d8b4-6320-4b8d-bf3d-e3d22bb0ed83.json
new file mode 100644
index 000000000..0954fe225
--- /dev/null
+++ b/data/hfopenllm_v2/internlm/internlm2-7b/fb38d8b4-6320-4b8d-bf3d-e3d22bb0ed83.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/internlm_internlm2-7b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "internlm2-7b",
+    "id": "internlm/internlm2-7b",
+    "developer": "internlm",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Unknown",
+      "params_billions": 0.0
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.228
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5825
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0857
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3367
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.44
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.19
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/internlm/internlm2-chat-1_8b/767b5c7e-6319-487f-906c-2abca794f884.json b/data/hfopenllm_v2/internlm/internlm2-chat-1_8b/767b5c7e-6319-487f-906c-2abca794f884.json
deleted file mode 100644
index dcf38f345..000000000
--- a/data/hfopenllm_v2/internlm/internlm2-chat-1_8b/767b5c7e-6319-487f-906c-2abca794f884.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/internlm_internlm2-chat-1_8b/1762652580.227562",
-  "retrieved_timestamp": "1762652580.227563",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "internlm/internlm2-chat-1_8b",
-    "developer": "internlm",
-    "inference_platform": "unknown",
-    "id": "internlm/internlm2-chat-1_8b",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "InternLM2ForCausalLM",
-      "params_billions": 1.889
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2386545477111841
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4452271664119214
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.0324773413897281
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.26593959731543626
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.36305208333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.18392619680851063
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/internlm/internlm2-chat-1_8b/b127a923-3bf2-4cad-9225-d738efe800e3.json b/data/hfopenllm_v2/internlm/internlm2-chat-1_8b/b127a923-3bf2-4cad-9225-d738efe800e3.json
new file mode 100644
index 000000000..0ea7fed94
--- /dev/null
+++ b/data/hfopenllm_v2/internlm/internlm2-chat-1_8b/b127a923-3bf2-4cad-9225-d738efe800e3.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/internlm_internlm2-chat-1_8b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "internlm2-chat-1_8b",
+    "id": "internlm/internlm2-chat-1_8b",
+    "developer": "internlm",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "InternLM2ForCausalLM",
+      "params_billions": 1.889
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2387
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4452
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0325
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2659
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3631
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1839
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/internlm/internlm2_5-1_8b-chat/a94ae52a-7936-4750-83f5-4740f23adf15.json b/data/hfopenllm_v2/internlm/internlm2_5-1_8b-chat/a94ae52a-7936-4750-83f5-4740f23adf15.json
new file mode 100644
index 000000000..89f784e4a
--- /dev/null
+++ b/data/hfopenllm_v2/internlm/internlm2_5-1_8b-chat/a94ae52a-7936-4750-83f5-4740f23adf15.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/internlm_internlm2_5-1_8b-chat/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "internlm2_5-1_8b-chat",
+    "id": "internlm/internlm2_5-1_8b-chat",
+    "developer": "internlm",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "InternLM2ForCausalLM",
+      "params_billions": 1.89
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3849
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4489
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1586
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2903
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3594
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1299
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/internlm/internlm2_5-1_8b-chat/d37e87e2-53c3-42fa-b78d-04d2819b14d3.json b/data/hfopenllm_v2/internlm/internlm2_5-1_8b-chat/d37e87e2-53c3-42fa-b78d-04d2819b14d3.json
deleted file mode 100644
index 8bf8e3243..000000000
--- a/data/hfopenllm_v2/internlm/internlm2_5-1_8b-chat/d37e87e2-53c3-42fa-b78d-04d2819b14d3.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/internlm_internlm2_5-1_8b-chat/1762652580.227762",
-  "retrieved_timestamp": "1762652580.227763",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "internlm/internlm2_5-1_8b-chat",
-    "developer": "internlm",
-    "inference_platform": "unknown",
-    "id": "internlm/internlm2_5-1_8b-chat",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "InternLM2ForCausalLM",
-      "params_billions": 1.89
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.38490870889240547
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4488926786996439
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.15861027190332327
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
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diff --git a/data/hfopenllm_v2/internlm/internlm2_5-20b-chat/95e689c6-cd19-4114-b3b5-1672ab849214.json b/data/hfopenllm_v2/internlm/internlm2_5-20b-chat/95e689c6-cd19-4114-b3b5-1672ab849214.json
new file mode 100644
index 000000000..c3237ef07
--- /dev/null
+++ b/data/hfopenllm_v2/internlm/internlm2_5-20b-chat/95e689c6-cd19-4114-b3b5-1672ab849214.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/internlm_internlm2_5-20b-chat/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "internlm2_5-20b-chat",
+    "id": "internlm/internlm2_5-20b-chat",
+    "developer": "internlm",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "InternLM2ForCausalLM",
+      "params_billions": 19.86
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7474
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+        "hf_repo": "Idavidrein/gpqa"
+      },
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+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4558
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3998
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/internlm/internlm2_5-20b-chat/a651c814-41e2-4951-bb8f-df799cc6e470.json b/data/hfopenllm_v2/internlm/internlm2_5-20b-chat/a651c814-41e2-4951-bb8f-df799cc6e470.json
deleted file mode 100644
index 6a1ba8252..000000000
--- a/data/hfopenllm_v2/internlm/internlm2_5-20b-chat/a651c814-41e2-4951-bb8f-df799cc6e470.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/internlm_internlm2_5-20b-chat/1762652580.2279649",
-  "retrieved_timestamp": "1762652580.227966",
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-  "source_metadata": {
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "internlm/internlm2_5-20b-chat",
-    "developer": "internlm",
-    "inference_platform": "unknown",
-    "id": "internlm/internlm2_5-20b-chat",
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-    }
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-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
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-        "lower_is_better": false,
-        "score_type": "continuous",
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-    }
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-}
diff --git a/data/hfopenllm_v2/internlm/internlm2_5-7b-chat/28245528-26e8-48a8-9cc8-68d7a6389bde.json b/data/hfopenllm_v2/internlm/internlm2_5-7b-chat/28245528-26e8-48a8-9cc8-68d7a6389bde.json
deleted file mode 100644
index 652378a71..000000000
--- a/data/hfopenllm_v2/internlm/internlm2_5-7b-chat/28245528-26e8-48a8-9cc8-68d7a6389bde.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/internlm_internlm2_5-7b-chat/1762652580.2281651",
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-    "name": "internlm/internlm2_5-7b-chat",
-    "developer": "internlm",
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-    "id": "internlm/internlm2_5-7b-chat",
-    "additional_details": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
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diff --git a/data/hfopenllm_v2/internlm/internlm2_5-7b-chat/890a8414-bccf-4a66-8013-6c270d017965.json b/data/hfopenllm_v2/internlm/internlm2_5-7b-chat/890a8414-bccf-4a66-8013-6c270d017965.json
new file mode 100644
index 000000000..39a2746e0
--- /dev/null
+++ b/data/hfopenllm_v2/internlm/internlm2_5-7b-chat/890a8414-bccf-4a66-8013-6c270d017965.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/internlm_internlm2_5-7b-chat/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "internlm2_5-7b-chat",
+    "id": "internlm/internlm2_5-7b-chat",
+    "developer": "internlm",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "InternLM2ForCausalLM",
+      "params_billions": 7.738
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5539
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+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7073
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+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.253
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4594
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3777
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/intervitens/mini-magnum-12b-v1.1/0f8ce410-cf3b-4f78-81b9-a0a1fe91b963.json b/data/hfopenllm_v2/intervitens/mini-magnum-12b-v1.1/0f8ce410-cf3b-4f78-81b9-a0a1fe91b963.json
new file mode 100644
index 000000000..37988d1da
--- /dev/null
+++ b/data/hfopenllm_v2/intervitens/mini-magnum-12b-v1.1/0f8ce410-cf3b-4f78-81b9-a0a1fe91b963.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/intervitens_mini-magnum-12b-v1.1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "mini-magnum-12b-v1.1",
+    "id": "intervitens/mini-magnum-12b-v1.1",
+    "developer": "intervitens",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 12.248
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+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5156
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+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5062
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+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+        "score": 0.0619
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+    },
+    {
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+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
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+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+        "score": 0.2886
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+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4004
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+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3291
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/intervitens/mini-magnum-12b-v1.1/8ad974e6-8d4c-45bf-86d0-f701cfc323d5.json b/data/hfopenllm_v2/intervitens/mini-magnum-12b-v1.1/8ad974e6-8d4c-45bf-86d0-f701cfc323d5.json
deleted file mode 100644
index 04e62a92c..000000000
--- a/data/hfopenllm_v2/intervitens/mini-magnum-12b-v1.1/8ad974e6-8d4c-45bf-86d0-f701cfc323d5.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/intervitens_mini-magnum-12b-v1.1/1762652580.228364",
-  "retrieved_timestamp": "1762652580.228365",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "intervitens/mini-magnum-12b-v1.1",
-    "developer": "intervitens",
-    "inference_platform": "unknown",
-    "id": "intervitens/mini-magnum-12b-v1.1",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 12.248
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5155509603407846
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.506180035650624
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.061933534743202415
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.28859060402684567
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4004479166666666
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3291223404255319
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/inumulaisk/eval_model/121096cf-356b-4069-a0a3-8cf6aad52b81.json b/data/hfopenllm_v2/inumulaisk/eval_model/121096cf-356b-4069-a0a3-8cf6aad52b81.json
new file mode 100644
index 000000000..fd8c4c747
--- /dev/null
+++ b/data/hfopenllm_v2/inumulaisk/eval_model/121096cf-356b-4069-a0a3-8cf6aad52b81.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/inumulaisk_eval_model/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "eval_model",
+    "id": "inumulaisk/eval_model",
+    "developer": "inumulaisk",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 1.777
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1931
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3512
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2976
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2794
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.358
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1664
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/inumulaisk/eval_model/e3e4a9b3-ce68-4999-966e-2ef2baf99266.json b/data/hfopenllm_v2/inumulaisk/eval_model/e3e4a9b3-ce68-4999-966e-2ef2baf99266.json
deleted file mode 100644
index b127c4e0a..000000000
--- a/data/hfopenllm_v2/inumulaisk/eval_model/e3e4a9b3-ce68-4999-966e-2ef2baf99266.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/inumulaisk_eval_model/1762652580.228598",
-  "retrieved_timestamp": "1762652580.228599",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "inumulaisk/eval_model",
-    "developer": "inumulaisk",
-    "inference_platform": "unknown",
-    "id": "inumulaisk/eval_model",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 1.777
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.19314197440568803
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.35118774303346373
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.297583081570997
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.27936241610738255
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.35796875
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.16638962765957446
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/invalid-coder/Sakura-SOLAR-Instruct-CarbonVillain-en-10.7B-v2-slerp/cdb8a900-75f3-4e6b-9d35-5a6791e8acd1.json b/data/hfopenllm_v2/invalid-coder/Sakura-SOLAR-Instruct-CarbonVillain-en-10.7B-v2-slerp/cdb8a900-75f3-4e6b-9d35-5a6791e8acd1.json
deleted file mode 100644
index fc0a9920f..000000000
--- a/data/hfopenllm_v2/invalid-coder/Sakura-SOLAR-Instruct-CarbonVillain-en-10.7B-v2-slerp/cdb8a900-75f3-4e6b-9d35-5a6791e8acd1.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/invalid-coder_Sakura-SOLAR-Instruct-CarbonVillain-en-10.7B-v2-slerp/1762652580.229043",
-  "retrieved_timestamp": "1762652580.229047",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "invalid-coder/Sakura-SOLAR-Instruct-CarbonVillain-en-10.7B-v2-slerp",
-    "developer": "invalid-coder",
-    "inference_platform": "unknown",
-    "id": "invalid-coder/Sakura-SOLAR-Instruct-CarbonVillain-en-10.7B-v2-slerp",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 10.732
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.45547591501660034
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5158439010792586
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.04909365558912387
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3053691275167785
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3992395833333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3145777925531915
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/invalid-coder/Sakura-SOLAR-Instruct-CarbonVillain-en-10.7B-v2-slerp/fb0bcadf-32a0-4320-909f-2c38ba7d9372.json b/data/hfopenllm_v2/invalid-coder/Sakura-SOLAR-Instruct-CarbonVillain-en-10.7B-v2-slerp/fb0bcadf-32a0-4320-909f-2c38ba7d9372.json
new file mode 100644
index 000000000..8bfc59d66
--- /dev/null
+++ b/data/hfopenllm_v2/invalid-coder/Sakura-SOLAR-Instruct-CarbonVillain-en-10.7B-v2-slerp/fb0bcadf-32a0-4320-909f-2c38ba7d9372.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/invalid-coder_Sakura-SOLAR-Instruct-CarbonVillain-en-10.7B-v2-slerp/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Sakura-SOLAR-Instruct-CarbonVillain-en-10.7B-v2-slerp",
+    "id": "invalid-coder/Sakura-SOLAR-Instruct-CarbonVillain-en-10.7B-v2-slerp",
+    "developer": "invalid-coder",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 10.732
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4555
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5158
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0491
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3054
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3992
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3146
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/invisietch/EtherealRainbow-v0.2-8B/ab941c52-cf33-4b8e-87af-4a73930cf72a.json b/data/hfopenllm_v2/invisietch/EtherealRainbow-v0.2-8B/ab941c52-cf33-4b8e-87af-4a73930cf72a.json
new file mode 100644
index 000000000..a6bf367ef
--- /dev/null
+++ b/data/hfopenllm_v2/invisietch/EtherealRainbow-v0.2-8B/ab941c52-cf33-4b8e-87af-4a73930cf72a.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/invisietch_EtherealRainbow-v0.2-8B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "EtherealRainbow-v0.2-8B",
+    "id": "invisietch/EtherealRainbow-v0.2-8B",
+    "developer": "invisietch",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3903
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5102
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0823
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3029
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3827
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3653
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/invisietch/EtherealRainbow-v0.2-8B/c60869f0-7009-48c9-be41-339335e5ee4e.json b/data/hfopenllm_v2/invisietch/EtherealRainbow-v0.2-8B/c60869f0-7009-48c9-be41-339335e5ee4e.json
deleted file mode 100644
index 55b8d48f2..000000000
--- a/data/hfopenllm_v2/invisietch/EtherealRainbow-v0.2-8B/c60869f0-7009-48c9-be41-339335e5ee4e.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/invisietch_EtherealRainbow-v0.2-8B/1762652580.229454",
-  "retrieved_timestamp": "1762652580.229455",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "invisietch/EtherealRainbow-v0.2-8B",
-    "developer": "invisietch",
-    "inference_platform": "unknown",
-    "id": "invisietch/EtherealRainbow-v0.2-8B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.39032988027323057
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5102035205059678
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.0823262839879154
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3028523489932886
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.38267708333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.36527593085106386
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/invisietch/EtherealRainbow-v0.3-8B/08c242fd-0258-4817-970a-668584ed9385.json b/data/hfopenllm_v2/invisietch/EtherealRainbow-v0.3-8B/08c242fd-0258-4817-970a-668584ed9385.json
new file mode 100644
index 000000000..d5ccbfe08
--- /dev/null
+++ b/data/hfopenllm_v2/invisietch/EtherealRainbow-v0.3-8B/08c242fd-0258-4817-970a-668584ed9385.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/invisietch_EtherealRainbow-v0.3-8B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "EtherealRainbow-v0.3-8B",
+    "id": "invisietch/EtherealRainbow-v0.3-8B",
+    "developer": "invisietch",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3682
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5097
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0763
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3045
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3904
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3626
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/invisietch/EtherealRainbow-v0.3-8B/cc85ba7f-bbc0-43e7-a678-949fd5be8498.json b/data/hfopenllm_v2/invisietch/EtherealRainbow-v0.3-8B/cc85ba7f-bbc0-43e7-a678-949fd5be8498.json
deleted file mode 100644
index 4f169c11b..000000000
--- a/data/hfopenllm_v2/invisietch/EtherealRainbow-v0.3-8B/cc85ba7f-bbc0-43e7-a678-949fd5be8498.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/invisietch_EtherealRainbow-v0.3-8B/1762652580.229776",
-  "retrieved_timestamp": "1762652580.2297769",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "invisietch/EtherealRainbow-v0.3-8B",
-    "developer": "invisietch",
-    "inference_platform": "unknown",
-    "id": "invisietch/EtherealRainbow-v0.3-8B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.36822298168858625
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5096758454539693
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.07628398791540786
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30453020134228187
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.39039583333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.36261635638297873
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/invisietch/MiS-Firefly-v0.2-22B/2171af9a-be5e-4daf-8e67-a5239ccec7bd.json b/data/hfopenllm_v2/invisietch/MiS-Firefly-v0.2-22B/2171af9a-be5e-4daf-8e67-a5239ccec7bd.json
new file mode 100644
index 000000000..501989bf4
--- /dev/null
+++ b/data/hfopenllm_v2/invisietch/MiS-Firefly-v0.2-22B/2171af9a-be5e-4daf-8e67-a5239ccec7bd.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/invisietch_MiS-Firefly-v0.2-22B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "MiS-Firefly-v0.2-22B",
+    "id": "invisietch/MiS-Firefly-v0.2-22B",
+    "developer": "invisietch",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 22.247
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5371
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5514
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1654
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3045
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4694
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.362
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/invisietch/MiS-Firefly-v0.2-22B/6df8e489-865f-4692-a673-6abbf2159d1d.json b/data/hfopenllm_v2/invisietch/MiS-Firefly-v0.2-22B/6df8e489-865f-4692-a673-6abbf2159d1d.json
deleted file mode 100644
index cb275feb8..000000000
--- a/data/hfopenllm_v2/invisietch/MiS-Firefly-v0.2-22B/6df8e489-865f-4692-a673-6abbf2159d1d.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/invisietch_MiS-Firefly-v0.2-22B/1762652580.2300959",
-  "retrieved_timestamp": "1762652580.2300968",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
-    "name": "invisietch/MiS-Firefly-v0.2-22B",
-    "developer": "invisietch",
-    "inference_platform": "unknown",
-    "id": "invisietch/MiS-Firefly-v0.2-22B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 22.247
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-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
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-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-}
diff --git a/data/hfopenllm_v2/invisietch/Nimbus-Miqu-v0.1-70B/706f75a1-2f6b-47dd-809e-a830e739b574.json b/data/hfopenllm_v2/invisietch/Nimbus-Miqu-v0.1-70B/706f75a1-2f6b-47dd-809e-a830e739b574.json
new file mode 100644
index 000000000..4802b7933
--- /dev/null
+++ b/data/hfopenllm_v2/invisietch/Nimbus-Miqu-v0.1-70B/706f75a1-2f6b-47dd-809e-a830e739b574.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/invisietch_Nimbus-Miqu-v0.1-70B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Nimbus-Miqu-v0.1-70B",
+    "id": "invisietch/Nimbus-Miqu-v0.1-70B",
+    "developer": "invisietch",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 68.977
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4647
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.601
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3389
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4133
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3853
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/invisietch/Nimbus-Miqu-v0.1-70B/c36d07f4-b263-4849-86f9-d3fea355c068.json b/data/hfopenllm_v2/invisietch/Nimbus-Miqu-v0.1-70B/c36d07f4-b263-4849-86f9-d3fea355c068.json
deleted file mode 100644
index 803554fdf..000000000
--- a/data/hfopenllm_v2/invisietch/Nimbus-Miqu-v0.1-70B/c36d07f4-b263-4849-86f9-d3fea355c068.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/invisietch_Nimbus-Miqu-v0.1-70B/1762652580.230321",
-  "retrieved_timestamp": "1762652580.230322",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "invisietch/Nimbus-Miqu-v0.1-70B",
-    "developer": "invisietch",
-    "inference_platform": "unknown",
-    "id": "invisietch/Nimbus-Miqu-v0.1-70B",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 68.977
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.46466819150963884
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.601030667794844
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.06042296072507553
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3389261744966443
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41331249999999997
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3853058510638298
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/irahulpandey/mistralai-7B-slerp-v0.1/a9cd0399-4670-4f5c-8c64-c82dac97cd8c.json b/data/hfopenllm_v2/irahulpandey/mistralai-7B-slerp-v0.1/a9cd0399-4670-4f5c-8c64-c82dac97cd8c.json
new file mode 100644
index 000000000..42cef2a10
--- /dev/null
+++ b/data/hfopenllm_v2/irahulpandey/mistralai-7B-slerp-v0.1/a9cd0399-4670-4f5c-8c64-c82dac97cd8c.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/irahulpandey_mistralai-7B-slerp-v0.1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "mistralai-7B-slerp-v0.1",
+    "id": "irahulpandey/mistralai-7B-slerp-v0.1",
+    "developer": "irahulpandey",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4966
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5011
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0514
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3037
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.455
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2951
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaredjoss/pythia-410m-roberta-lr_8e7-kl_01-steps_12000-rlhf-model/67cfd12d-0551-406d-bd1d-8ced75c69478.json b/data/hfopenllm_v2/jaredjoss/pythia-410m-roberta-lr_8e7-kl_01-steps_12000-rlhf-model/67cfd12d-0551-406d-bd1d-8ced75c69478.json
new file mode 100644
index 000000000..6cad09ae3
--- /dev/null
+++ b/data/hfopenllm_v2/jaredjoss/pythia-410m-roberta-lr_8e7-kl_01-steps_12000-rlhf-model/67cfd12d-0551-406d-bd1d-8ced75c69478.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaredjoss_pythia-410m-roberta-lr_8e7-kl_01-steps_12000-rlhf-model/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "pythia-410m-roberta-lr_8e7-kl_01-steps_12000-rlhf-model",
+    "id": "jaredjoss/pythia-410m-roberta-lr_8e7-kl_01-steps_12000-rlhf-model",
+    "developer": "jaredjoss",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "GPTNeoXForCausalLM",
+      "params_billions": 0.407
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1572
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2863
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2592
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3607
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1169
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaredjoss/pythia-410m-roberta-lr_8e7-kl_01-steps_12000-rlhf-model/cf6b0824-45c4-4b47-bf23-e5df5673b74e.json b/data/hfopenllm_v2/jaredjoss/pythia-410m-roberta-lr_8e7-kl_01-steps_12000-rlhf-model/cf6b0824-45c4-4b47-bf23-e5df5673b74e.json
deleted file mode 100644
index 69b623db6..000000000
--- a/data/hfopenllm_v2/jaredjoss/pythia-410m-roberta-lr_8e7-kl_01-steps_12000-rlhf-model/cf6b0824-45c4-4b47-bf23-e5df5673b74e.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaredjoss_pythia-410m-roberta-lr_8e7-kl_01-steps_12000-rlhf-model/1762652580.230787",
-  "retrieved_timestamp": "1762652580.230787",
-  "source_data": [
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-    "name": "jaredjoss/pythia-410m-roberta-lr_8e7-kl_01-steps_12000-rlhf-model",
-    "developer": "jaredjoss",
-    "inference_platform": "unknown",
-    "id": "jaredjoss/pythia-410m-roberta-lr_8e7-kl_01-steps_12000-rlhf-model",
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-      "evaluation_name": "IFEval",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      }
-    }
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-}
diff --git a/data/hfopenllm_v2/jaspionjader/Auro-Kosmos-EVAA-v2-8B/0064f2f6-672e-478c-9184-e7fd32ad06b8.json b/data/hfopenllm_v2/jaspionjader/Auro-Kosmos-EVAA-v2-8B/0064f2f6-672e-478c-9184-e7fd32ad06b8.json
deleted file mode 100644
index e350b4996..000000000
--- a/data/hfopenllm_v2/jaspionjader/Auro-Kosmos-EVAA-v2-8B/0064f2f6-672e-478c-9184-e7fd32ad06b8.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/jaspionjader_Auro-Kosmos-EVAA-v2-8B/1762652580.231028",
-  "retrieved_timestamp": "1762652580.231029",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/Auro-Kosmos-EVAA-v2-8B",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/Auro-Kosmos-EVAA-v2-8B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4778077722664752
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5447163557182707
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.14123867069486404
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.31543624161073824
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.425
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.38580452127659576
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/Auro-Kosmos-EVAA-v2-8B/0a31d2f0-196b-4508-861a-1ba7bd28ea23.json b/data/hfopenllm_v2/jaspionjader/Auro-Kosmos-EVAA-v2-8B/0a31d2f0-196b-4508-861a-1ba7bd28ea23.json
new file mode 100644
index 000000000..8ebe97770
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/Auro-Kosmos-EVAA-v2-8B/0a31d2f0-196b-4508-861a-1ba7bd28ea23.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_Auro-Kosmos-EVAA-v2-8B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Auro-Kosmos-EVAA-v2-8B",
+    "id": "jaspionjader/Auro-Kosmos-EVAA-v2-8B",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4778
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5447
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1412
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3154
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.425
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3858
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/Auro-Kosmos-EVAA-v2.1-8B/4381d7ab-d19f-4fa0-a69a-978af28df8fa.json b/data/hfopenllm_v2/jaspionjader/Auro-Kosmos-EVAA-v2.1-8B/4381d7ab-d19f-4fa0-a69a-978af28df8fa.json
deleted file mode 100644
index 650b38940..000000000
--- a/data/hfopenllm_v2/jaspionjader/Auro-Kosmos-EVAA-v2.1-8B/4381d7ab-d19f-4fa0-a69a-978af28df8fa.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_Auro-Kosmos-EVAA-v2.1-8B/1762652580.231263",
-  "retrieved_timestamp": "1762652580.231264",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/Auro-Kosmos-EVAA-v2.1-8B",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/Auro-Kosmos-EVAA-v2.1-8B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-      }
-    },
-    {
-      "evaluation_name": "BBH",
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-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5444200006474947
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.14577039274924472
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3087248322147651
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4316979166666666
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.382563164893617
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/Auro-Kosmos-EVAA-v2.1-8B/57576999-2749-441a-91d6-5a976e83a658.json b/data/hfopenllm_v2/jaspionjader/Auro-Kosmos-EVAA-v2.1-8B/57576999-2749-441a-91d6-5a976e83a658.json
new file mode 100644
index 000000000..315886d52
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/Auro-Kosmos-EVAA-v2.1-8B/57576999-2749-441a-91d6-5a976e83a658.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_Auro-Kosmos-EVAA-v2.1-8B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Auro-Kosmos-EVAA-v2.1-8B",
+    "id": "jaspionjader/Auro-Kosmos-EVAA-v2.1-8B",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4666
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5444
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1458
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3087
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4317
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3826
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/Auro-Kosmos-EVAA-v2.2-8B/4e616fc6-8baa-4c9a-9098-b8d108911ad2.json b/data/hfopenllm_v2/jaspionjader/Auro-Kosmos-EVAA-v2.2-8B/4e616fc6-8baa-4c9a-9098-b8d108911ad2.json
deleted file mode 100644
index c09e29fa8..000000000
--- a/data/hfopenllm_v2/jaspionjader/Auro-Kosmos-EVAA-v2.2-8B/4e616fc6-8baa-4c9a-9098-b8d108911ad2.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_Auro-Kosmos-EVAA-v2.2-8B/1762652580.231466",
-  "retrieved_timestamp": "1762652580.231467",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/Auro-Kosmos-EVAA-v2.2-8B",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/Auro-Kosmos-EVAA-v2.2-8B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
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-        "score_type": "continuous",
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-        "max_score": 1
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-        "lower_is_better": false,
-        "score_type": "continuous",
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diff --git a/data/hfopenllm_v2/jaspionjader/Auro-Kosmos-EVAA-v2.2-8B/e44792e6-0329-4784-832b-3043478e70a4.json b/data/hfopenllm_v2/jaspionjader/Auro-Kosmos-EVAA-v2.2-8B/e44792e6-0329-4784-832b-3043478e70a4.json
new file mode 100644
index 000000000..3152352b6
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/Auro-Kosmos-EVAA-v2.2-8B/e44792e6-0329-4784-832b-3043478e70a4.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_Auro-Kosmos-EVAA-v2.2-8B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Auro-Kosmos-EVAA-v2.2-8B",
+    "id": "jaspionjader/Auro-Kosmos-EVAA-v2.2-8B",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4268
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5431
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1412
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3104
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4251
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3798
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/Auro-Kosmos-EVAA-v2.3-8B/8b3789d6-51be-472a-95d3-2ae7c34ad140.json b/data/hfopenllm_v2/jaspionjader/Auro-Kosmos-EVAA-v2.3-8B/8b3789d6-51be-472a-95d3-2ae7c34ad140.json
new file mode 100644
index 000000000..f7a617f03
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/Auro-Kosmos-EVAA-v2.3-8B/8b3789d6-51be-472a-95d3-2ae7c34ad140.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_Auro-Kosmos-EVAA-v2.3-8B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Auro-Kosmos-EVAA-v2.3-8B",
+    "id": "jaspionjader/Auro-Kosmos-EVAA-v2.3-8B",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4271
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5441
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1344
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3121
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4278
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3784
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/Auro-Kosmos-EVAA-v2.3-8B/9c7ee100-754e-4665-8527-452021a2243b.json b/data/hfopenllm_v2/jaspionjader/Auro-Kosmos-EVAA-v2.3-8B/9c7ee100-754e-4665-8527-452021a2243b.json
deleted file mode 100644
index 73105f0e0..000000000
--- a/data/hfopenllm_v2/jaspionjader/Auro-Kosmos-EVAA-v2.3-8B/9c7ee100-754e-4665-8527-452021a2243b.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/jaspionjader_Auro-Kosmos-EVAA-v2.3-8B/1762652580.231667",
-  "retrieved_timestamp": "1762652580.231667",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
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-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
-    "name": "jaspionjader/Auro-Kosmos-EVAA-v2.3-8B",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/Auro-Kosmos-EVAA-v2.3-8B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42712447417297217
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5440818233123913
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
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-      "score_details": {
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.31208053691275167
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4277916666666666
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37840757978723405
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/Kosmos-Aurora_faustus-8B/0563ee22-d981-45cb-83f8-7dbdb2734d10.json b/data/hfopenllm_v2/jaspionjader/Kosmos-Aurora_faustus-8B/0563ee22-d981-45cb-83f8-7dbdb2734d10.json
deleted file mode 100644
index 6e85759b9..000000000
--- a/data/hfopenllm_v2/jaspionjader/Kosmos-Aurora_faustus-8B/0563ee22-d981-45cb-83f8-7dbdb2734d10.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_Kosmos-Aurora_faustus-8B/1762652580.231864",
-  "retrieved_timestamp": "1762652580.2318652",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/Kosmos-Aurora_faustus-8B",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/Kosmos-Aurora_faustus-8B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.443236168920686
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5260325661068855
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11253776435045318
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2953020134228188
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4116979166666666
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.38131648936170215
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/Kosmos-Aurora_faustus-8B/3f4765f2-551b-485f-9020-0cf17a36a887.json b/data/hfopenllm_v2/jaspionjader/Kosmos-Aurora_faustus-8B/3f4765f2-551b-485f-9020-0cf17a36a887.json
new file mode 100644
index 000000000..0ae45d0a4
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/Kosmos-Aurora_faustus-8B/3f4765f2-551b-485f-9020-0cf17a36a887.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_Kosmos-Aurora_faustus-8B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Kosmos-Aurora_faustus-8B",
+    "id": "jaspionjader/Kosmos-Aurora_faustus-8B",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4432
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.526
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1125
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2953
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4117
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3813
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-8B/6375a845-5d86-4dcf-bfd2-e836daa4ca11.json b/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-8B/6375a845-5d86-4dcf-bfd2-e836daa4ca11.json
new file mode 100644
index 000000000..f9aae6a67
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-8B/6375a845-5d86-4dcf-bfd2-e836daa4ca11.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_Kosmos-EVAA-8B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Kosmos-EVAA-8B",
+    "id": "jaspionjader/Kosmos-EVAA-8B",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4405
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5312
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1178
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2995
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4237
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3818
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-8B/746ffa2c-cc95-4d69-9e46-0e8f4febd440.json b/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-8B/746ffa2c-cc95-4d69-9e46-0e8f4febd440.json
deleted file mode 100644
index 3ed2aa2bc..000000000
--- a/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-8B/746ffa2c-cc95-4d69-9e46-0e8f4febd440.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_Kosmos-EVAA-8B/1762652580.232065",
-  "retrieved_timestamp": "1762652580.232065",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/Kosmos-EVAA-8B",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/Kosmos-EVAA-8B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4404635256674513
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5311831227740652
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11782477341389729
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.29949664429530204
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4236666666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3818151595744681
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-Franken-Immersive-v39-8B/65a74446-6964-4f5f-8ea6-aeb1b09595ae.json b/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-Franken-Immersive-v39-8B/65a74446-6964-4f5f-8ea6-aeb1b09595ae.json
new file mode 100644
index 000000000..79154e34e
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-Franken-Immersive-v39-8B/65a74446-6964-4f5f-8ea6-aeb1b09595ae.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_Kosmos-EVAA-Franken-Immersive-v39-8B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Kosmos-EVAA-Franken-Immersive-v39-8B",
+    "id": "jaspionjader/Kosmos-EVAA-Franken-Immersive-v39-8B",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4378
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.519
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1292
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3154
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4236
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.39
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-Franken-Immersive-v39-8B/f9e1901a-854d-4437-8d49-a6c47799f687.json b/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-Franken-Immersive-v39-8B/f9e1901a-854d-4437-8d49-a6c47799f687.json
deleted file mode 100644
index 605c9e2a3..000000000
--- a/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-Franken-Immersive-v39-8B/f9e1901a-854d-4437-8d49-a6c47799f687.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_Kosmos-EVAA-Franken-Immersive-v39-8B/1762652580.232267",
-  "retrieved_timestamp": "1762652580.232268",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/Kosmos-EVAA-Franken-Immersive-v39-8B",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/Kosmos-EVAA-Franken-Immersive-v39-8B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.43779061778303796
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5189720817259138
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.12915407854984895
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.31543624161073824
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4236354166666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3900432180851064
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-Franken-v38-8B/8919b3ad-529c-4391-bec3-65b81dad97c3.json b/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-Franken-v38-8B/8919b3ad-529c-4391-bec3-65b81dad97c3.json
deleted file mode 100644
index fbb553285..000000000
--- a/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-Franken-v38-8B/8919b3ad-529c-4391-bec3-65b81dad97c3.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_Kosmos-EVAA-Franken-v38-8B/1762652580.2324722",
-  "retrieved_timestamp": "1762652580.2324731",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/Kosmos-EVAA-Franken-v38-8B",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/Kosmos-EVAA-Franken-v38-8B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4355676272290855
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5229513322616746
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.12915407854984895
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3087248322147651
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42115624999999995
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3890458776595745
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-Franken-v38-8B/dcba5998-3b84-4753-a4fa-2558ffe3e69b.json b/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-Franken-v38-8B/dcba5998-3b84-4753-a4fa-2558ffe3e69b.json
new file mode 100644
index 000000000..394557379
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-Franken-v38-8B/dcba5998-3b84-4753-a4fa-2558ffe3e69b.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_Kosmos-EVAA-Franken-v38-8B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Kosmos-EVAA-Franken-v38-8B",
+    "id": "jaspionjader/Kosmos-EVAA-Franken-v38-8B",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4356
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.523
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1292
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3087
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4212
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.389
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-Fusion-8B/0af6b3c0-6638-4bd8-bdd9-349e2b9ca71c.json b/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-Fusion-8B/0af6b3c0-6638-4bd8-bdd9-349e2b9ca71c.json
new file mode 100644
index 000000000..d05e11595
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-Fusion-8B/0af6b3c0-6638-4bd8-bdd9-349e2b9ca71c.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_Kosmos-EVAA-Fusion-8B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Kosmos-EVAA-Fusion-8B",
+    "id": "jaspionjader/Kosmos-EVAA-Fusion-8B",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4345
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5419
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1292
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3087
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4277
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3854
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-Fusion-8B/3030519e-f137-4091-9394-26a0779f0ad9.json b/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-Fusion-8B/3030519e-f137-4091-9394-26a0779f0ad9.json
deleted file mode 100644
index b3753ec3b..000000000
--- a/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-Fusion-8B/3030519e-f137-4091-9394-26a0779f0ad9.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_Kosmos-EVAA-Fusion-8B/1762652580.2328691",
-  "retrieved_timestamp": "1762652580.2328691",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/Kosmos-EVAA-Fusion-8B",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/Kosmos-EVAA-Fusion-8B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.43446832183052075
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5419028777027763
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.12915407854984895
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3087248322147651
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42766666666666664
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.38538896276595747
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-Fusion-8B/4e332594-d0b9-4913-9950-208abe4faab7.json b/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-Fusion-8B/4e332594-d0b9-4913-9950-208abe4faab7.json
new file mode 100644
index 000000000..eb9755b5c
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-Fusion-8B/4e332594-d0b9-4913-9950-208abe4faab7.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_Kosmos-EVAA-Fusion-8B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Kosmos-EVAA-Fusion-8B",
+    "id": "jaspionjader/Kosmos-EVAA-Fusion-8B",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4418
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5406
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1352
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3062
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4277
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.386
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-Fusion-8B/ac41e588-0664-44f5-9fa9-eafd6508078b.json b/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-Fusion-8B/ac41e588-0664-44f5-9fa9-eafd6508078b.json
deleted file mode 100644
index 9a461f39c..000000000
--- a/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-Fusion-8B/ac41e588-0664-44f5-9fa9-eafd6508078b.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_Kosmos-EVAA-Fusion-8B/1762652580.23267",
-  "retrieved_timestamp": "1762652580.232671",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/Kosmos-EVAA-Fusion-8B",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/Kosmos-EVAA-Fusion-8B",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4417623018036587
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5405890148943007
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1351963746223565
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3062080536912752
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42766666666666664
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3859707446808511
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-PRP-8B/5ad2ad73-47ed-465d-b4c0-b358e6b6435f.json b/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-PRP-8B/5ad2ad73-47ed-465d-b4c0-b358e6b6435f.json
new file mode 100644
index 000000000..b95e94419
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-PRP-8B/5ad2ad73-47ed-465d-b4c0-b358e6b6435f.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_Kosmos-EVAA-PRP-8B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Kosmos-EVAA-PRP-8B",
+    "id": "jaspionjader/Kosmos-EVAA-PRP-8B",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3405
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5196
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0884
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3129
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4301
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3647
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-PRP-8B/eb68e0e3-1e39-4779-bc99-4e1825d9c602.json b/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-PRP-8B/eb68e0e3-1e39-4779-bc99-4e1825d9c602.json
deleted file mode 100644
index 56f8097e7..000000000
--- a/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-PRP-8B/eb68e0e3-1e39-4779-bc99-4e1825d9c602.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_Kosmos-EVAA-PRP-8B/1762652580.233048",
-  "retrieved_timestamp": "1762652580.2330492",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/Kosmos-EVAA-PRP-8B",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/Kosmos-EVAA-PRP-8B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.34052092891306174
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5195634214282913
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.08836858006042296
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.31291946308724833
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4301145833333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3646941489361702
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-PRP-light-8B/0d2e1c3f-8ee6-44b0-912a-452e2a5a6da7.json b/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-PRP-light-8B/0d2e1c3f-8ee6-44b0-912a-452e2a5a6da7.json
deleted file mode 100644
index bf4eef76d..000000000
--- a/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-PRP-light-8B/0d2e1c3f-8ee6-44b0-912a-452e2a5a6da7.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_Kosmos-EVAA-PRP-light-8B/1762652580.233289",
-  "retrieved_timestamp": "1762652580.23329",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/Kosmos-EVAA-PRP-light-8B",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/Kosmos-EVAA-PRP-light-8B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.38238651223198894
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5271029575696119
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11027190332326284
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.31208053691275167
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42490625
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3781582446808511
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-PRP-light-8B/c9f716ef-0aa6-445f-8fc9-b102f3a0ea2a.json b/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-PRP-light-8B/c9f716ef-0aa6-445f-8fc9-b102f3a0ea2a.json
new file mode 100644
index 000000000..8874fb70f
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-PRP-light-8B/c9f716ef-0aa6-445f-8fc9-b102f3a0ea2a.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_Kosmos-EVAA-PRP-light-8B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Kosmos-EVAA-PRP-light-8B",
+    "id": "jaspionjader/Kosmos-EVAA-PRP-light-8B",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3824
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5271
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1103
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3121
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4249
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3782
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-PRP-v23-8B/5d5ae047-72d1-4083-8e28-dcce7337ed25.json b/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-PRP-v23-8B/5d5ae047-72d1-4083-8e28-dcce7337ed25.json
deleted file mode 100644
index 9f393e179..000000000
--- a/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-PRP-v23-8B/5d5ae047-72d1-4083-8e28-dcce7337ed25.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_Kosmos-EVAA-PRP-v23-8B/1762652580.233495",
-  "retrieved_timestamp": "1762652580.233495",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/Kosmos-EVAA-PRP-v23-8B",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/Kosmos-EVAA-PRP-v23-8B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4040933611705829
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5289840558524612
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11555891238670694
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3087248322147651
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.43684375
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37059507978723405
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-PRP-v23-8B/a2e32a77-867c-4921-ada4-c7b169efbebe.json b/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-PRP-v23-8B/a2e32a77-867c-4921-ada4-c7b169efbebe.json
new file mode 100644
index 000000000..3407edf36
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-PRP-v23-8B/a2e32a77-867c-4921-ada4-c7b169efbebe.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_Kosmos-EVAA-PRP-v23-8B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Kosmos-EVAA-PRP-v23-8B",
+    "id": "jaspionjader/Kosmos-EVAA-PRP-v23-8B",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4041
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.529
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1156
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3087
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4368
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3706
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-PRP-v24-8B/e6b62da0-ad6d-431c-8a0e-185c6eddf3da.json b/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-PRP-v24-8B/e6b62da0-ad6d-431c-8a0e-185c6eddf3da.json
deleted file mode 100644
index 914747dca..000000000
--- a/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-PRP-v24-8B/e6b62da0-ad6d-431c-8a0e-185c6eddf3da.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_Kosmos-EVAA-PRP-v24-8B/1762652580.233697",
-  "retrieved_timestamp": "1762652580.2336981",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/Kosmos-EVAA-PRP-v24-8B",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/Kosmos-EVAA-PRP-v24-8B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42587556572117535
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5276140433113651
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11027190332326284
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3104026845637584
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42903125
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3779089095744681
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-PRP-v24-8B/f76f759f-d05d-4eb6-a2b9-3b1dfbe840f0.json b/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-PRP-v24-8B/f76f759f-d05d-4eb6-a2b9-3b1dfbe840f0.json
new file mode 100644
index 000000000..269ec5b3a
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-PRP-v24-8B/f76f759f-d05d-4eb6-a2b9-3b1dfbe840f0.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_Kosmos-EVAA-PRP-v24-8B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Kosmos-EVAA-PRP-v24-8B",
+    "id": "jaspionjader/Kosmos-EVAA-PRP-v24-8B",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4259
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5276
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1103
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3104
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.429
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3779
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-PRP-v25-8B/81c8704c-7124-42d1-b320-77e31e35898b.json b/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-PRP-v25-8B/81c8704c-7124-42d1-b320-77e31e35898b.json
deleted file mode 100644
index 4ba657080..000000000
--- a/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-PRP-v25-8B/81c8704c-7124-42d1-b320-77e31e35898b.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_Kosmos-EVAA-PRP-v25-8B/1762652580.23391",
-  "retrieved_timestamp": "1762652580.23391",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/Kosmos-EVAA-PRP-v25-8B",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/Kosmos-EVAA-PRP-v25-8B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4420869958377106
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5290702582598797
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11858006042296072
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3179530201342282
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4303333333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37159242021276595
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-PRP-v25-8B/ece0bd6b-4eec-485c-942b-e23f3295c2f8.json b/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-PRP-v25-8B/ece0bd6b-4eec-485c-942b-e23f3295c2f8.json
new file mode 100644
index 000000000..c4a81c92e
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-PRP-v25-8B/ece0bd6b-4eec-485c-942b-e23f3295c2f8.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_Kosmos-EVAA-PRP-v25-8B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Kosmos-EVAA-PRP-v25-8B",
+    "id": "jaspionjader/Kosmos-EVAA-PRP-v25-8B",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4421
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5291
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1186
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.318
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4303
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3716
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-PRP-v26-8B/6705072a-5a46-49ae-925f-1cf7da1ea288.json b/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-PRP-v26-8B/6705072a-5a46-49ae-925f-1cf7da1ea288.json
deleted file mode 100644
index 2a4812623..000000000
--- a/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-PRP-v26-8B/6705072a-5a46-49ae-925f-1cf7da1ea288.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_Kosmos-EVAA-PRP-v26-8B/1762652580.234126",
-  "retrieved_timestamp": "1762652580.234127",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/Kosmos-EVAA-PRP-v26-8B",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/Kosmos-EVAA-PRP-v26-8B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4413877400851962
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5271171047819411
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11329305135951662
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30453020134228187
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4263645833333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3793218085106383
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-PRP-v26-8B/ada110bb-0988-4c19-9798-74577dde5ce9.json b/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-PRP-v26-8B/ada110bb-0988-4c19-9798-74577dde5ce9.json
new file mode 100644
index 000000000..fb137b1ab
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-PRP-v26-8B/ada110bb-0988-4c19-9798-74577dde5ce9.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_Kosmos-EVAA-PRP-v26-8B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Kosmos-EVAA-PRP-v26-8B",
+    "id": "jaspionjader/Kosmos-EVAA-PRP-v26-8B",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4414
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5271
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1133
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3045
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4264
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3793
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-PRP-v27-8B/d3dcd3f0-2f43-4b82-ba29-77a69a9b3e8f.json b/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-PRP-v27-8B/d3dcd3f0-2f43-4b82-ba29-77a69a9b3e8f.json
deleted file mode 100644
index 0c722e835..000000000
--- a/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-PRP-v27-8B/d3dcd3f0-2f43-4b82-ba29-77a69a9b3e8f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_Kosmos-EVAA-PRP-v27-8B/1762652580.2343428",
-  "retrieved_timestamp": "1762652580.234344",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/Kosmos-EVAA-PRP-v27-8B",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/Kosmos-EVAA-PRP-v27-8B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4378404854674486
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5290320010579407
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11933534743202417
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3087248322147651
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4343333333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37549867021276595
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-PRP-v27-8B/ed4f994d-d196-40bd-8f8f-f6a7f07c3c90.json b/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-PRP-v27-8B/ed4f994d-d196-40bd-8f8f-f6a7f07c3c90.json
new file mode 100644
index 000000000..3a868b97e
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-PRP-v27-8B/ed4f994d-d196-40bd-8f8f-f6a7f07c3c90.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_Kosmos-EVAA-PRP-v27-8B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Kosmos-EVAA-PRP-v27-8B",
+    "id": "jaspionjader/Kosmos-EVAA-PRP-v27-8B",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4378
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.529
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1193
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3087
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4343
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3755
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-PRP-v28-8B/57395f9a-0534-453e-80fc-96e9dc5cd9c3.json b/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-PRP-v28-8B/57395f9a-0534-453e-80fc-96e9dc5cd9c3.json
new file mode 100644
index 000000000..9e9f72bfb
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-PRP-v28-8B/57395f9a-0534-453e-80fc-96e9dc5cd9c3.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_Kosmos-EVAA-PRP-v28-8B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Kosmos-EVAA-PRP-v28-8B",
+    "id": "jaspionjader/Kosmos-EVAA-PRP-v28-8B",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4366
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5295
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1171
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.307
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.433
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.375
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-PRP-v28-8B/e2aa230d-452e-42f0-a780-af255c62120e.json b/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-PRP-v28-8B/e2aa230d-452e-42f0-a780-af255c62120e.json
deleted file mode 100644
index 54b4e5f2a..000000000
--- a/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-PRP-v28-8B/e2aa230d-452e-42f0-a780-af255c62120e.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_Kosmos-EVAA-PRP-v28-8B/1762652580.234553",
-  "retrieved_timestamp": "1762652580.234553",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/Kosmos-EVAA-PRP-v28-8B",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/Kosmos-EVAA-PRP-v28-8B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.43659157701565177
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5294743678489208
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11706948640483383
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3070469798657718
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.43296874999999996
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.375
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-PRP-v29-8B/86e94a19-e497-4539-802b-597ce0e0ced0.json b/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-PRP-v29-8B/86e94a19-e497-4539-802b-597ce0e0ced0.json
deleted file mode 100644
index c45e4c32f..000000000
--- a/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-PRP-v29-8B/86e94a19-e497-4539-802b-597ce0e0ced0.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_Kosmos-EVAA-PRP-v29-8B/1762652580.234771",
-  "retrieved_timestamp": "1762652580.234771",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/Kosmos-EVAA-PRP-v29-8B",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/Kosmos-EVAA-PRP-v29-8B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4487315877427448
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5275189525290296
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.12009063444108761
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3104026845637584
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42366666666666664
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37649601063829785
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-PRP-v29-8B/f8f70702-9ab4-4e1a-a11d-090627d58f02.json b/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-PRP-v29-8B/f8f70702-9ab4-4e1a-a11d-090627d58f02.json
new file mode 100644
index 000000000..444db8839
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-PRP-v29-8B/f8f70702-9ab4-4e1a-a11d-090627d58f02.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_Kosmos-EVAA-PRP-v29-8B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Kosmos-EVAA-PRP-v29-8B",
+    "id": "jaspionjader/Kosmos-EVAA-PRP-v29-8B",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4487
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5275
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1201
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3104
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4237
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3765
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-PRP-v30-8B/320c581d-f667-4dab-a32c-bb9f2621e84d.json b/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-PRP-v30-8B/320c581d-f667-4dab-a32c-bb9f2621e84d.json
deleted file mode 100644
index 3423dce6e..000000000
--- a/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-PRP-v30-8B/320c581d-f667-4dab-a32c-bb9f2621e84d.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_Kosmos-EVAA-PRP-v30-8B/1762652580.2349901",
-  "retrieved_timestamp": "1762652580.234991",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/Kosmos-EVAA-PRP-v30-8B",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/Kosmos-EVAA-PRP-v30-8B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42947268802333366
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5327819889174134
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11782477341389729
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30453020134228187
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4263333333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3937832446808511
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-PRP-v30-8B/3cab8bda-bdf6-4345-b89e-18d34a8f6361.json b/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-PRP-v30-8B/3cab8bda-bdf6-4345-b89e-18d34a8f6361.json
new file mode 100644
index 000000000..325f0d8d0
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-PRP-v30-8B/3cab8bda-bdf6-4345-b89e-18d34a8f6361.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_Kosmos-EVAA-PRP-v30-8B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Kosmos-EVAA-PRP-v30-8B",
+    "id": "jaspionjader/Kosmos-EVAA-PRP-v30-8B",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4295
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5328
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1178
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3045
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4263
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3938
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-PRP-v31-8B/0757cecd-bc5f-4095-90ee-25920ae6670c.json b/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-PRP-v31-8B/0757cecd-bc5f-4095-90ee-25920ae6670c.json
deleted file mode 100644
index 8c7601bde..000000000
--- a/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-PRP-v31-8B/0757cecd-bc5f-4095-90ee-25920ae6670c.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_Kosmos-EVAA-PRP-v31-8B/1762652580.235214",
-  "retrieved_timestamp": "1762652580.235214",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/Kosmos-EVAA-PRP-v31-8B",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
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diff --git a/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-PRP-v31-8B/0955fc17-8878-401a-9ec3-149528ee51e1.json b/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-PRP-v31-8B/0955fc17-8878-401a-9ec3-149528ee51e1.json
new file mode 100644
index 000000000..4cfc98e57
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-PRP-v31-8B/0955fc17-8878-401a-9ec3-149528ee51e1.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_Kosmos-EVAA-PRP-v31-8B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Kosmos-EVAA-PRP-v31-8B",
+    "id": "jaspionjader/Kosmos-EVAA-PRP-v31-8B",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4399
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5315
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3138
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4251
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3935
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-PRP-v32-8B/c63bf49a-e7d4-4853-8684-9cc03eaa7840.json b/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-PRP-v32-8B/c63bf49a-e7d4-4853-8684-9cc03eaa7840.json
new file mode 100644
index 000000000..ddd83d684
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-PRP-v32-8B/c63bf49a-e7d4-4853-8684-9cc03eaa7840.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_Kosmos-EVAA-PRP-v32-8B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Kosmos-EVAA-PRP-v32-8B",
+    "id": "jaspionjader/Kosmos-EVAA-PRP-v32-8B",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4487
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5293
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1148
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3163
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4211
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3777
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-PRP-v32-8B/f58f0ecc-a059-448d-a2f9-e36b601e2154.json b/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-PRP-v32-8B/f58f0ecc-a059-448d-a2f9-e36b601e2154.json
deleted file mode 100644
index e1b5114b3..000000000
--- a/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-PRP-v32-8B/f58f0ecc-a059-448d-a2f9-e36b601e2154.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/jaspionjader_Kosmos-EVAA-PRP-v32-8B/1762652580.235436",
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-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/Kosmos-EVAA-PRP-v32-8B",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/Kosmos-EVAA-PRP-v32-8B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
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-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5292530349260334
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-      "score_details": {
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-    },
-    {
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-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3162751677852349
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42106249999999995
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3776595744680851
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-PRP-v33-8B/2436838e-2b6a-4c1e-b8c2-ec505d9a4c34.json b/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-PRP-v33-8B/2436838e-2b6a-4c1e-b8c2-ec505d9a4c34.json
deleted file mode 100644
index 81591a0b4..000000000
--- a/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-PRP-v33-8B/2436838e-2b6a-4c1e-b8c2-ec505d9a4c34.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_Kosmos-EVAA-PRP-v33-8B/1762652580.23565",
-  "retrieved_timestamp": "1762652580.235651",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/Kosmos-EVAA-PRP-v33-8B",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/Kosmos-EVAA-PRP-v33-8B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
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-    },
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-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5321153222507468
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.31291946308724833
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41839583333333336
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.390874335106383
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-PRP-v33-8B/65e6a3b6-4291-4591-bc0b-576930061c68.json b/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-PRP-v33-8B/65e6a3b6-4291-4591-bc0b-576930061c68.json
new file mode 100644
index 000000000..48e58506f
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-PRP-v33-8B/65e6a3b6-4291-4591-bc0b-576930061c68.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_Kosmos-EVAA-PRP-v33-8B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Kosmos-EVAA-PRP-v33-8B",
+    "id": "jaspionjader/Kosmos-EVAA-PRP-v33-8B",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4302
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5321
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1178
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3129
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4184
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3909
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-PRP-v34-8B/11486e0e-a9e3-43b0-b26e-299a86555d16.json b/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-PRP-v34-8B/11486e0e-a9e3-43b0-b26e-299a86555d16.json
deleted file mode 100644
index b4184d617..000000000
--- a/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-PRP-v34-8B/11486e0e-a9e3-43b0-b26e-299a86555d16.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_Kosmos-EVAA-PRP-v34-8B/1762652580.235871",
-  "retrieved_timestamp": "1762652580.235871",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/Kosmos-EVAA-PRP-v34-8B",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/Kosmos-EVAA-PRP-v34-8B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.45625052638111324
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.533301459442271
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11253776435045318
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.311241610738255
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42372916666666666
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3927027925531915
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-PRP-v34-8B/1ddf9e02-4066-440e-a777-fcd3f96bc4b3.json b/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-PRP-v34-8B/1ddf9e02-4066-440e-a777-fcd3f96bc4b3.json
new file mode 100644
index 000000000..89f19eb09
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-PRP-v34-8B/1ddf9e02-4066-440e-a777-fcd3f96bc4b3.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_Kosmos-EVAA-PRP-v34-8B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Kosmos-EVAA-PRP-v34-8B",
+    "id": "jaspionjader/Kosmos-EVAA-PRP-v34-8B",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4563
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5333
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1125
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3112
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4237
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3927
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-TSN-8B/75037d12-da94-4c55-8de5-a7cef098d4b0.json b/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-TSN-8B/75037d12-da94-4c55-8de5-a7cef098d4b0.json
deleted file mode 100644
index 6b3941007..000000000
--- a/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-TSN-8B/75037d12-da94-4c55-8de5-a7cef098d4b0.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_Kosmos-EVAA-TSN-8B/1762652580.236081",
-  "retrieved_timestamp": "1762652580.2360818",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/Kosmos-EVAA-TSN-8B",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/Kosmos-EVAA-TSN-8B",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.47213726246359655
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5176546480934434
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.13444108761329304
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3028523489932886
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.43290625
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3816489361702128
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-TSN-8B/f9f96bb2-edbc-4112-97aa-a7420dea32a1.json b/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-TSN-8B/f9f96bb2-edbc-4112-97aa-a7420dea32a1.json
new file mode 100644
index 000000000..f496d05c5
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-TSN-8B/f9f96bb2-edbc-4112-97aa-a7420dea32a1.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_Kosmos-EVAA-TSN-8B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Kosmos-EVAA-TSN-8B",
+    "id": "jaspionjader/Kosmos-EVAA-TSN-8B",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4721
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5177
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1344
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3029
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4329
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3816
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-TSN-light-8B/3a24b30f-7698-4ecb-ac26-3537a0b38616.json b/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-TSN-light-8B/3a24b30f-7698-4ecb-ac26-3537a0b38616.json
new file mode 100644
index 000000000..6959b532b
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-TSN-light-8B/3a24b30f-7698-4ecb-ac26-3537a0b38616.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_Kosmos-EVAA-TSN-light-8B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Kosmos-EVAA-TSN-light-8B",
+    "id": "jaspionjader/Kosmos-EVAA-TSN-light-8B",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4685
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5235
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1216
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3045
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4289
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3806
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-TSN-light-8B/9f0aa20f-8687-4c21-b222-39a322f90842.json b/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-TSN-light-8B/9f0aa20f-8687-4c21-b222-39a322f90842.json
deleted file mode 100644
index 2dac0863d..000000000
--- a/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-TSN-light-8B/9f0aa20f-8687-4c21-b222-39a322f90842.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_Kosmos-EVAA-TSN-light-8B/1762652580.236298",
-  "retrieved_timestamp": "1762652580.236299",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/Kosmos-EVAA-TSN-light-8B",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/Kosmos-EVAA-TSN-light-8B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.46849027247702757
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5235021286391058
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1216012084592145
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30453020134228187
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42893749999999997
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.38056848404255317
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-TSN-v19-8B/91c2897a-3ae3-402b-aadf-26d0b8d746c5.json b/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-TSN-v19-8B/91c2897a-3ae3-402b-aadf-26d0b8d746c5.json
deleted file mode 100644
index e92897c14..000000000
--- a/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-TSN-v19-8B/91c2897a-3ae3-402b-aadf-26d0b8d746c5.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_Kosmos-EVAA-TSN-v19-8B/1762652580.236516",
-  "retrieved_timestamp": "1762652580.2365172",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/Kosmos-EVAA-TSN-v19-8B",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/Kosmos-EVAA-TSN-v19-8B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4563502617499346
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5316458785173577
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11555891238670694
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3053691275167785
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4276979166666666
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37898936170212766
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-TSN-v19-8B/d4030df6-2be6-4f46-9c9b-ce3037b9a004.json b/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-TSN-v19-8B/d4030df6-2be6-4f46-9c9b-ce3037b9a004.json
new file mode 100644
index 000000000..e3426247a
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-TSN-v19-8B/d4030df6-2be6-4f46-9c9b-ce3037b9a004.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_Kosmos-EVAA-TSN-v19-8B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Kosmos-EVAA-TSN-v19-8B",
+    "id": "jaspionjader/Kosmos-EVAA-TSN-v19-8B",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4564
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5316
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1156
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3054
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4277
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.379
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-TSN-v20-8B/4a60fea6-e0e8-497e-9b29-439e7641e77b.json b/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-TSN-v20-8B/4a60fea6-e0e8-497e-9b29-439e7641e77b.json
deleted file mode 100644
index 3f68136a6..000000000
--- a/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-TSN-v20-8B/4a60fea6-e0e8-497e-9b29-439e7641e77b.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_Kosmos-EVAA-TSN-v20-8B/1762652580.236737",
-  "retrieved_timestamp": "1762652580.236737",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/Kosmos-EVAA-TSN-v20-8B",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/Kosmos-EVAA-TSN-v20-8B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4423119545029411
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5250468078369915
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.12462235649546828
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.313758389261745
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42103124999999997
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.39361702127659576
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-TSN-v20-8B/ec234403-f43d-46a0-84a4-ab47673226b3.json b/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-TSN-v20-8B/ec234403-f43d-46a0-84a4-ab47673226b3.json
new file mode 100644
index 000000000..3081940fd
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-TSN-v20-8B/ec234403-f43d-46a0-84a4-ab47673226b3.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_Kosmos-EVAA-TSN-v20-8B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Kosmos-EVAA-TSN-v20-8B",
+    "id": "jaspionjader/Kosmos-EVAA-TSN-v20-8B",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4423
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.525
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1246
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3138
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.421
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3936
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-TSN-v21-8B/805379f4-784f-4602-92e8-180df4da9fc3.json b/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-TSN-v21-8B/805379f4-784f-4602-92e8-180df4da9fc3.json
new file mode 100644
index 000000000..3d18c5f8b
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-TSN-v21-8B/805379f4-784f-4602-92e8-180df4da9fc3.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_Kosmos-EVAA-TSN-v21-8B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Kosmos-EVAA-TSN-v21-8B",
+    "id": "jaspionjader/Kosmos-EVAA-TSN-v21-8B",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.467
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5248
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1193
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3121
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4343
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3816
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-TSN-v21-8B/d9c819c2-a3f6-481e-bd71-47912aef9847.json b/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-TSN-v21-8B/d9c819c2-a3f6-481e-bd71-47912aef9847.json
deleted file mode 100644
index e46fd2105..000000000
--- a/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-TSN-v21-8B/d9c819c2-a3f6-481e-bd71-47912aef9847.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_Kosmos-EVAA-TSN-v21-8B/1762652580.2369542",
-  "retrieved_timestamp": "1762652580.236955",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/Kosmos-EVAA-TSN-v21-8B",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/Kosmos-EVAA-TSN-v21-8B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.46701640536000033
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.524796520922724
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11933534743202417
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.31208053691275167
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.43427083333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3816489361702128
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-TSN-v22-8B/6e20f902-8752-466c-b8d4-34787fb90fce.json b/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-TSN-v22-8B/6e20f902-8752-466c-b8d4-34787fb90fce.json
deleted file mode 100644
index e2b6425a1..000000000
--- a/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-TSN-v22-8B/6e20f902-8752-466c-b8d4-34787fb90fce.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_Kosmos-EVAA-TSN-v22-8B/1762652580.2371762",
-  "retrieved_timestamp": "1762652580.2371771",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/Kosmos-EVAA-TSN-v22-8B",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/Kosmos-EVAA-TSN-v22-8B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4673410993940522
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5245863682593667
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
-        "score": 0.11329305135951662
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3070469798657718
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4303333333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.38115026595744683
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-TSN-v22-8B/9f3920aa-9400-46f1-bcfa-969f69b3335c.json b/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-TSN-v22-8B/9f3920aa-9400-46f1-bcfa-969f69b3335c.json
new file mode 100644
index 000000000..c54dd019f
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-TSN-v22-8B/9f3920aa-9400-46f1-bcfa-969f69b3335c.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_Kosmos-EVAA-TSN-v22-8B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Kosmos-EVAA-TSN-v22-8B",
+    "id": "jaspionjader/Kosmos-EVAA-TSN-v22-8B",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4673
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5246
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1133
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.307
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4303
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3812
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-gamma-8B/26cbf444-ab93-409a-b85d-e2bd267eae5e.json b/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-gamma-8B/26cbf444-ab93-409a-b85d-e2bd267eae5e.json
new file mode 100644
index 000000000..92fa310e3
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-gamma-8B/26cbf444-ab93-409a-b85d-e2bd267eae5e.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_Kosmos-EVAA-gamma-8B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Kosmos-EVAA-gamma-8B",
+    "id": "jaspionjader/Kosmos-EVAA-gamma-8B",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4572
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5322
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.105
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3188
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4306
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3901
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-gamma-8B/d25510e4-6549-4f64-8ec4-37ac8671050c.json b/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-gamma-8B/d25510e4-6549-4f64-8ec4-37ac8671050c.json
deleted file mode 100644
index fa34e54cf..000000000
--- a/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-gamma-8B/d25510e4-6549-4f64-8ec4-37ac8671050c.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_Kosmos-EVAA-gamma-8B/1762652580.237391",
-  "retrieved_timestamp": "1762652580.237392",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/Kosmos-EVAA-gamma-8B",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/Kosmos-EVAA-gamma-8B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.45722460848326885
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5321936191858193
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.10498489425981873
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3187919463087248
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4305833333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.39012632978723405
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-gamma-alt-8B/58e279d4-da0f-4e2c-a74d-c51caeaad884.json b/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-gamma-alt-8B/58e279d4-da0f-4e2c-a74d-c51caeaad884.json
deleted file mode 100644
index 6f115c4de..000000000
--- a/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-gamma-alt-8B/58e279d4-da0f-4e2c-a74d-c51caeaad884.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_Kosmos-EVAA-gamma-alt-8B/1762652580.23761",
-  "retrieved_timestamp": "1762652580.23761",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/Kosmos-EVAA-gamma-alt-8B",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/Kosmos-EVAA-gamma-alt-8B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4542270065648036
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5297928701221488
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1095166163141994
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.32466442953020136
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42921875
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3896276595744681
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-gamma-alt-8B/7c2b17a8-1de2-4441-a281-fe3fd043f831.json b/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-gamma-alt-8B/7c2b17a8-1de2-4441-a281-fe3fd043f831.json
new file mode 100644
index 000000000..90cb19b6b
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-gamma-alt-8B/7c2b17a8-1de2-4441-a281-fe3fd043f831.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_Kosmos-EVAA-gamma-alt-8B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Kosmos-EVAA-gamma-alt-8B",
+    "id": "jaspionjader/Kosmos-EVAA-gamma-alt-8B",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4542
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5298
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1095
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3247
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4292
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3896
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-gamma-light-8B/64c07a98-4f3f-49f7-99de-9963dcfedeba.json b/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-gamma-light-8B/64c07a98-4f3f-49f7-99de-9963dcfedeba.json
deleted file mode 100644
index 65df2f3fb..000000000
--- a/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-gamma-light-8B/64c07a98-4f3f-49f7-99de-9963dcfedeba.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_Kosmos-EVAA-gamma-light-8B/1762652580.237838",
-  "retrieved_timestamp": "1762652580.2378392",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/Kosmos-EVAA-gamma-light-8B",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/Kosmos-EVAA-gamma-light-8B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.45809895521660304
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5376138387743472
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11027190332326284
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3162751677852349
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42909375
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.394281914893617
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-gamma-light-8B/94c5756c-cbde-46e2-90d2-207678373061.json b/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-gamma-light-8B/94c5756c-cbde-46e2-90d2-207678373061.json
new file mode 100644
index 000000000..980ba2f9f
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-gamma-light-8B/94c5756c-cbde-46e2-90d2-207678373061.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_Kosmos-EVAA-gamma-light-8B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Kosmos-EVAA-gamma-light-8B",
+    "id": "jaspionjader/Kosmos-EVAA-gamma-light-8B",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4581
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5376
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1103
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3163
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4291
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3943
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-gamma-light-alt-8B/abebffbf-48b5-4452-8c7a-bb1175a7e979.json b/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-gamma-light-alt-8B/abebffbf-48b5-4452-8c7a-bb1175a7e979.json
deleted file mode 100644
index cbff58353..000000000
--- a/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-gamma-light-alt-8B/abebffbf-48b5-4452-8c7a-bb1175a7e979.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_Kosmos-EVAA-gamma-light-alt-8B/1762652580.238084",
-  "retrieved_timestamp": "1762652580.238085",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/Kosmos-EVAA-gamma-light-alt-8B",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/Kosmos-EVAA-gamma-light-alt-8B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.44535942410581697
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5327145731870764
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11329305135951662
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.313758389261745
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.43045833333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.39228723404255317
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-gamma-light-alt-8B/e0048124-89bf-4327-88a8-00aa51ee29af.json b/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-gamma-light-alt-8B/e0048124-89bf-4327-88a8-00aa51ee29af.json
new file mode 100644
index 000000000..e1956821f
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-gamma-light-alt-8B/e0048124-89bf-4327-88a8-00aa51ee29af.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_Kosmos-EVAA-gamma-light-alt-8B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Kosmos-EVAA-gamma-light-alt-8B",
+    "id": "jaspionjader/Kosmos-EVAA-gamma-light-alt-8B",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4454
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5327
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1133
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3138
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4305
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3923
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-gamma-ultra-light-8B/1810feae-7a27-4c17-8174-3cd8a143b21f.json b/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-gamma-ultra-light-8B/1810feae-7a27-4c17-8174-3cd8a143b21f.json
deleted file mode 100644
index 3e890e58c..000000000
--- a/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-gamma-ultra-light-8B/1810feae-7a27-4c17-8174-3cd8a143b21f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_Kosmos-EVAA-gamma-ultra-light-8B/1762652580.238316",
-  "retrieved_timestamp": "1762652580.238317",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/Kosmos-EVAA-gamma-ultra-light-8B",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/Kosmos-EVAA-gamma-ultra-light-8B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4563003940655239
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5316344937208096
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11782477341389729
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3162751677852349
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4196979166666666
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3914561170212766
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-gamma-ultra-light-8B/9d776307-43af-43bb-ab64-52fb7f331cfe.json b/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-gamma-ultra-light-8B/9d776307-43af-43bb-ab64-52fb7f331cfe.json
new file mode 100644
index 000000000..2646a813c
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-gamma-ultra-light-8B/9d776307-43af-43bb-ab64-52fb7f331cfe.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_Kosmos-EVAA-gamma-ultra-light-8B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Kosmos-EVAA-gamma-ultra-light-8B",
+    "id": "jaspionjader/Kosmos-EVAA-gamma-ultra-light-8B",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4563
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5316
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1178
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3163
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4197
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3915
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-gamma-v13-8B/1fc6ca13-157c-4502-8724-be153afb6347.json b/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-gamma-v13-8B/1fc6ca13-157c-4502-8724-be153afb6347.json
deleted file mode 100644
index 06ffdd3fe..000000000
--- a/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-gamma-v13-8B/1fc6ca13-157c-4502-8724-be153afb6347.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_Kosmos-EVAA-gamma-v13-8B/1762652580.238605",
-  "retrieved_timestamp": "1762652580.238605",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/Kosmos-EVAA-gamma-v13-8B",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/Kosmos-EVAA-gamma-v13-8B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.44286160720222345
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5359422335881335
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11178247734138973
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.313758389261745
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42776041666666664
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3929521276595745
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-gamma-v13-8B/d8d41981-a7c8-48e9-a63c-86520a0f23d5.json b/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-gamma-v13-8B/d8d41981-a7c8-48e9-a63c-86520a0f23d5.json
new file mode 100644
index 000000000..d1b28b8b8
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-gamma-v13-8B/d8d41981-a7c8-48e9-a63c-86520a0f23d5.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_Kosmos-EVAA-gamma-v13-8B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Kosmos-EVAA-gamma-v13-8B",
+    "id": "jaspionjader/Kosmos-EVAA-gamma-v13-8B",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4429
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5359
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1118
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3138
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4278
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.393
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-gamma-v14-8B/1355985c-fbcb-4eac-8435-417d6034f2f0.json b/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-gamma-v14-8B/1355985c-fbcb-4eac-8435-417d6034f2f0.json
new file mode 100644
index 000000000..8087ad74c
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-gamma-v14-8B/1355985c-fbcb-4eac-8435-417d6034f2f0.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_Kosmos-EVAA-gamma-v14-8B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Kosmos-EVAA-gamma-v14-8B",
+    "id": "jaspionjader/Kosmos-EVAA-gamma-v14-8B",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.438
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5363
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1103
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3129
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4277
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3931
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-gamma-v14-8B/c20f5702-24fc-443a-875e-495401776eeb.json b/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-gamma-v14-8B/c20f5702-24fc-443a-875e-495401776eeb.json
deleted file mode 100644
index 606ab571f..000000000
--- a/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-gamma-v14-8B/c20f5702-24fc-443a-875e-495401776eeb.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_Kosmos-EVAA-gamma-v14-8B/1762652580.23884",
-  "retrieved_timestamp": "1762652580.23884",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/Kosmos-EVAA-gamma-v14-8B",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/Kosmos-EVAA-gamma-v14-8B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4380155764482684
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5363063034440413
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11027190332326284
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.31291946308724833
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42772916666666666
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3931183510638298
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-gamma-v15-8B/24e11e0c-fb61-46c1-a05e-c533eb392195.json b/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-gamma-v15-8B/24e11e0c-fb61-46c1-a05e-c533eb392195.json
deleted file mode 100644
index 6f681e140..000000000
--- a/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-gamma-v15-8B/24e11e0c-fb61-46c1-a05e-c533eb392195.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_Kosmos-EVAA-gamma-v15-8B/1762652580.239064",
-  "retrieved_timestamp": "1762652580.2390652",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/Kosmos-EVAA-gamma-v15-8B",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/Kosmos-EVAA-gamma-v15-8B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4654428028741517
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.534326872652317
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11102719033232629
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.311241610738255
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42772916666666666
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3941156914893617
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-gamma-v15-8B/44486b02-7bdd-4f59-8d4e-5c8deeb1fd60.json b/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-gamma-v15-8B/44486b02-7bdd-4f59-8d4e-5c8deeb1fd60.json
new file mode 100644
index 000000000..a02407d4d
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-gamma-v15-8B/44486b02-7bdd-4f59-8d4e-5c8deeb1fd60.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_Kosmos-EVAA-gamma-v15-8B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Kosmos-EVAA-gamma-v15-8B",
+    "id": "jaspionjader/Kosmos-EVAA-gamma-v15-8B",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4654
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5343
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.111
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3112
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4277
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3941
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-gamma-v16-8B/15deaa33-87a2-442e-9618-13f5ab6c299e.json b/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-gamma-v16-8B/15deaa33-87a2-442e-9618-13f5ab6c299e.json
deleted file mode 100644
index 74aaceb93..000000000
--- a/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-gamma-v16-8B/15deaa33-87a2-442e-9618-13f5ab6c299e.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_Kosmos-EVAA-gamma-v16-8B/1762652580.2392871",
-  "retrieved_timestamp": "1762652580.239288",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/Kosmos-EVAA-gamma-v16-8B",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/Kosmos-EVAA-gamma-v16-8B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
-        "score": 0.4556510059974202
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
-        "score": 0.11706948640483383
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.31543624161073824
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4264270833333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.39170545212765956
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-gamma-v16-8B/45ae3dc3-6dc0-4d10-99cb-a7f330110906.json b/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-gamma-v16-8B/45ae3dc3-6dc0-4d10-99cb-a7f330110906.json
new file mode 100644
index 000000000..703c586b6
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-gamma-v16-8B/45ae3dc3-6dc0-4d10-99cb-a7f330110906.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_Kosmos-EVAA-gamma-v16-8B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Kosmos-EVAA-gamma-v16-8B",
+    "id": "jaspionjader/Kosmos-EVAA-gamma-v16-8B",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4557
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5344
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1171
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3154
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4264
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3917
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-gamma-v17-8B/6b54763a-6329-47fb-bf50-296604251b47.json b/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-gamma-v17-8B/6b54763a-6329-47fb-bf50-296604251b47.json
new file mode 100644
index 000000000..d04ea2204
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-gamma-v17-8B/6b54763a-6329-47fb-bf50-296604251b47.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_Kosmos-EVAA-gamma-v17-8B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Kosmos-EVAA-gamma-v17-8B",
+    "id": "jaspionjader/Kosmos-EVAA-gamma-v17-8B",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4462
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5347
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.111
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3112
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4291
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3923
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-gamma-v17-8B/bd4cc259-d535-437a-afc5-d74a60154b07.json b/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-gamma-v17-8B/bd4cc259-d535-437a-afc5-d74a60154b07.json
deleted file mode 100644
index da41d1e0b..000000000
--- a/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-gamma-v17-8B/bd4cc259-d535-437a-afc5-d74a60154b07.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_Kosmos-EVAA-gamma-v17-8B/1762652580.239734",
-  "retrieved_timestamp": "1762652580.239739",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/Kosmos-EVAA-gamma-v17-8B",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/Kosmos-EVAA-gamma-v17-8B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4462337708391512
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5346666279815969
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11102719033232629
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.311241610738255
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42906249999999996
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.39228723404255317
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-gamma-v18-8B/96a26bf3-b4b2-465f-8ce6-a2ef943c001a.json b/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-gamma-v18-8B/96a26bf3-b4b2-465f-8ce6-a2ef943c001a.json
new file mode 100644
index 000000000..c9226fc57
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-gamma-v18-8B/96a26bf3-b4b2-465f-8ce6-a2ef943c001a.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_Kosmos-EVAA-gamma-v18-8B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Kosmos-EVAA-gamma-v18-8B",
+    "id": "jaspionjader/Kosmos-EVAA-gamma-v18-8B",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4341
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5339
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.111
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3112
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4317
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3905
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-gamma-v18-8B/aadb6262-4f31-4681-983c-0d19e8bbc5cd.json b/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-gamma-v18-8B/aadb6262-4f31-4681-983c-0d19e8bbc5cd.json
deleted file mode 100644
index 1acda0304..000000000
--- a/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-gamma-v18-8B/aadb6262-4f31-4681-983c-0d19e8bbc5cd.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_Kosmos-EVAA-gamma-v18-8B/1762652580.240138",
-  "retrieved_timestamp": "1762652580.240139",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/Kosmos-EVAA-gamma-v18-8B",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/Kosmos-EVAA-gamma-v18-8B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5339179190615058
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-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-    },
-    {
-      "evaluation_name": "GPQA",
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-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4316979166666666
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3904587765957447
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-immersive-sof-v44-8B/41e3ecda-8988-456c-b413-19770e2f05c7.json b/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-immersive-sof-v44-8B/41e3ecda-8988-456c-b413-19770e2f05c7.json
deleted file mode 100644
index 16b3598e9..000000000
--- a/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-immersive-sof-v44-8B/41e3ecda-8988-456c-b413-19770e2f05c7.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_Kosmos-EVAA-immersive-sof-v44-8B/1762652580.2404292",
-  "retrieved_timestamp": "1762652580.24043",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/Kosmos-EVAA-immersive-sof-v44-8B",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/Kosmos-EVAA-immersive-sof-v44-8B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.44078821970150317
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5214884907801955
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11858006042296072
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30956375838926176
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4143958333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3887965425531915
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-immersive-sof-v44-8B/655b047f-c3a8-4c9c-b864-81d318b2f506.json b/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-immersive-sof-v44-8B/655b047f-c3a8-4c9c-b864-81d318b2f506.json
new file mode 100644
index 000000000..53ac1daaf
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-immersive-sof-v44-8B/655b047f-c3a8-4c9c-b864-81d318b2f506.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_Kosmos-EVAA-immersive-sof-v44-8B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Kosmos-EVAA-immersive-sof-v44-8B",
+    "id": "jaspionjader/Kosmos-EVAA-immersive-sof-v44-8B",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4408
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5215
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1186
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3096
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4144
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3888
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-v10-8B/c57d95da-1b6f-4ce7-8c42-f1129fc1e55e.json b/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-v10-8B/c57d95da-1b6f-4ce7-8c42-f1129fc1e55e.json
deleted file mode 100644
index 7639f2738..000000000
--- a/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-v10-8B/c57d95da-1b6f-4ce7-8c42-f1129fc1e55e.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_Kosmos-EVAA-v10-8B/1762652580.2406652",
-  "retrieved_timestamp": "1762652580.2406662",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/Kosmos-EVAA-v10-8B",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/Kosmos-EVAA-v10-8B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4261503920708165
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5375875314179012
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.12462235649546828
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.29949664429530204
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4223645833333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.38314494680851063
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-v10-8B/f62fed77-e166-422d-b5ce-c50b7bccbf4c.json b/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-v10-8B/f62fed77-e166-422d-b5ce-c50b7bccbf4c.json
new file mode 100644
index 000000000..5c80d82d6
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-v10-8B/f62fed77-e166-422d-b5ce-c50b7bccbf4c.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_Kosmos-EVAA-v10-8B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Kosmos-EVAA-v10-8B",
+    "id": "jaspionjader/Kosmos-EVAA-v10-8B",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4262
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5376
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1246
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2995
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4224
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3831
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-v11-8B/7ffdabf3-0a8e-4316-b6bd-85b10a81db53.json b/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-v11-8B/7ffdabf3-0a8e-4316-b6bd-85b10a81db53.json
new file mode 100644
index 000000000..ce89b68ef
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-v11-8B/7ffdabf3-0a8e-4316-b6bd-85b10a81db53.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_Kosmos-EVAA-v11-8B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Kosmos-EVAA-v11-8B",
+    "id": "jaspionjader/Kosmos-EVAA-v11-8B",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4426
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5359
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1322
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3154
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4184
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3836
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-v11-8B/9a6b85d5-bb26-4832-915e-8b1ac90b0793.json b/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-v11-8B/9a6b85d5-bb26-4832-915e-8b1ac90b0793.json
deleted file mode 100644
index b6d9a34f9..000000000
--- a/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-v11-8B/9a6b85d5-bb26-4832-915e-8b1ac90b0793.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_Kosmos-EVAA-v11-8B/1762652580.240909",
-  "retrieved_timestamp": "1762652580.24091",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/Kosmos-EVAA-v11-8B",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/Kosmos-EVAA-v11-8B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.44263664853699297
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5359208647512345
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.13217522658610273
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.31543624161073824
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4184270833333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3835605053191489
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-v12-8B/2c93c987-b32d-4a02-8df4-949cc45b8eb2.json b/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-v12-8B/2c93c987-b32d-4a02-8df4-949cc45b8eb2.json
new file mode 100644
index 000000000..cc567f9c9
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-v12-8B/2c93c987-b32d-4a02-8df4-949cc45b8eb2.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_Kosmos-EVAA-v12-8B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Kosmos-EVAA-v12-8B",
+    "id": "jaspionjader/Kosmos-EVAA-v12-8B",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4378
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5349
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1367
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3096
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4211
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3836
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-v12-8B/4bcdbab0-7220-40bb-832f-01003f59da0f.json b/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-v12-8B/4bcdbab0-7220-40bb-832f-01003f59da0f.json
deleted file mode 100644
index d7cb6739c..000000000
--- a/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-v12-8B/4bcdbab0-7220-40bb-832f-01003f59da0f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_Kosmos-EVAA-v12-8B/1762652580.2411451",
-  "retrieved_timestamp": "1762652580.241146",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/Kosmos-EVAA-v12-8B",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/Kosmos-EVAA-v12-8B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.43779061778303796
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5348808250181011
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.13670694864048338
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30956375838926176
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42106249999999995
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3835605053191489
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-v2-8B/02e7c1d6-9db1-4de8-b13e-afd752b3669a.json b/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-v2-8B/02e7c1d6-9db1-4de8-b13e-afd752b3669a.json
new file mode 100644
index 000000000..308d1927e
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-v2-8B/02e7c1d6-9db1-4de8-b13e-afd752b3669a.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_Kosmos-EVAA-v2-8B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Kosmos-EVAA-v2-8B",
+    "id": "jaspionjader/Kosmos-EVAA-v2-8B",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4396
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5341
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1322
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2978
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4211
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3826
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-v2-8B/8f16aed2-8b31-48cc-b874-8d437f26f3db.json b/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-v2-8B/8f16aed2-8b31-48cc-b874-8d437f26f3db.json
deleted file mode 100644
index 50ef13386..000000000
--- a/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-v2-8B/8f16aed2-8b31-48cc-b874-8d437f26f3db.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_Kosmos-EVAA-v2-8B/1762652580.241379",
-  "retrieved_timestamp": "1762652580.2413802",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/Kosmos-EVAA-v2-8B",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/Kosmos-EVAA-v2-8B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4395891789341171
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5341160060985229
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.13217522658610273
-      }
-    },
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-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
-        "score": 0.3826462765957447
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-v3-8B/262a66ee-04e4-49d5-8bb2-efe0a93801ad.json b/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-v3-8B/262a66ee-04e4-49d5-8bb2-efe0a93801ad.json
deleted file mode 100644
index 3c8bf88f5..000000000
--- a/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-v3-8B/262a66ee-04e4-49d5-8bb2-efe0a93801ad.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_Kosmos-EVAA-v3-8B/1762652580.241601",
-  "retrieved_timestamp": "1762652580.241602",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/Kosmos-EVAA-v3-8B",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/Kosmos-EVAA-v3-8B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4410630460511443
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5330987974156178
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.13293051359516617
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3053691275167785
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4223958333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.38214760638297873
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-v3-8B/580a3045-338a-47b2-8ed7-54c993d5aa90.json b/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-v3-8B/580a3045-338a-47b2-8ed7-54c993d5aa90.json
new file mode 100644
index 000000000..f03f0b4c8
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-v3-8B/580a3045-338a-47b2-8ed7-54c993d5aa90.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_Kosmos-EVAA-v3-8B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Kosmos-EVAA-v3-8B",
+    "id": "jaspionjader/Kosmos-EVAA-v3-8B",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4411
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5331
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1329
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3054
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4224
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3821
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-v4-8B/e71d3be5-ea9d-4426-aa58-5806b7541aa6.json b/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-v4-8B/e71d3be5-ea9d-4426-aa58-5806b7541aa6.json
new file mode 100644
index 000000000..c7bfce252
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-v4-8B/e71d3be5-ea9d-4426-aa58-5806b7541aa6.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_Kosmos-EVAA-v4-8B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Kosmos-EVAA-v4-8B",
+    "id": "jaspionjader/Kosmos-EVAA-v4-8B",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4289
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5337
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1254
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3003
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4197
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3817
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-v4-8B/fd2a2a9c-639f-4348-9861-00271ed070b2.json b/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-v4-8B/fd2a2a9c-639f-4348-9861-00271ed070b2.json
deleted file mode 100644
index c99b4246b..000000000
--- a/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-v4-8B/fd2a2a9c-639f-4348-9861-00271ed070b2.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_Kosmos-EVAA-v4-8B/1762652580.241815",
-  "retrieved_timestamp": "1762652580.241816",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/Kosmos-EVAA-v4-8B",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/Kosmos-EVAA-v4-8B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4289230353240513
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5336560458316563
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.12537764350453173
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30033557046979864
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41972916666666665
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.38173204787234044
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-v5-8B/1174683a-9488-4c6b-be6b-e5a96328a96f.json b/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-v5-8B/1174683a-9488-4c6b-be6b-e5a96328a96f.json
new file mode 100644
index 000000000..d9d42b842
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-v5-8B/1174683a-9488-4c6b-be6b-e5a96328a96f.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_Kosmos-EVAA-v5-8B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Kosmos-EVAA-v5-8B",
+    "id": "jaspionjader/Kosmos-EVAA-v5-8B",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.446
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5345
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1261
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3037
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4224
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3821
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-v5-8B/53c89eb1-49ab-4e5f-b1ad-d8e80045a292.json b/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-v5-8B/53c89eb1-49ab-4e5f-b1ad-d8e80045a292.json
deleted file mode 100644
index 45a12156e..000000000
--- a/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-v5-8B/53c89eb1-49ab-4e5f-b1ad-d8e80045a292.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_Kosmos-EVAA-v5-8B/1762652580.2420359",
-  "retrieved_timestamp": "1762652580.2420359",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/Kosmos-EVAA-v5-8B",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/Kosmos-EVAA-v5-8B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.44595894448951
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5344958011609363
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.12613293051359517
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3036912751677852
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4223958333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3820644946808511
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-v6-8B/3789b37f-daf0-4c21-82b8-309cbf00312e.json b/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-v6-8B/3789b37f-daf0-4c21-82b8-309cbf00312e.json
new file mode 100644
index 000000000..e333bd78c
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-v6-8B/3789b37f-daf0-4c21-82b8-309cbf00312e.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_Kosmos-EVAA-v6-8B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Kosmos-EVAA-v6-8B",
+    "id": "jaspionjader/Kosmos-EVAA-v6-8B",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4396
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.538
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1292
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.302
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4184
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3821
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-v6-8B/c0cc1ad5-9e53-45ac-becb-f8ce3e5ac631.json b/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-v6-8B/c0cc1ad5-9e53-45ac-becb-f8ce3e5ac631.json
deleted file mode 100644
index 03de17067..000000000
--- a/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-v6-8B/c0cc1ad5-9e53-45ac-becb-f8ce3e5ac631.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_Kosmos-EVAA-v6-8B/1762652580.242274",
-  "retrieved_timestamp": "1762652580.242275",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/Kosmos-EVAA-v6-8B",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/Kosmos-EVAA-v6-8B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4395891789341171
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5379609044843678
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.12915407854984895
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30201342281879195
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4184270833333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3820644946808511
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-v7-8B/798c2f08-e10b-4115-bdd5-0d6053d03b60.json b/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-v7-8B/798c2f08-e10b-4115-bdd5-0d6053d03b60.json
deleted file mode 100644
index 845a51859..000000000
--- a/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-v7-8B/798c2f08-e10b-4115-bdd5-0d6053d03b60.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_Kosmos-EVAA-v7-8B/1762652580.242492",
-  "retrieved_timestamp": "1762652580.242493",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/Kosmos-EVAA-v7-8B",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/Kosmos-EVAA-v7-8B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4276741268722545
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5334882804815716
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1336858006042296
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3053691275167785
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41709375
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3835605053191489
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-v7-8B/8586cdc1-dd4e-4112-a59c-f6bc2766701b.json b/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-v7-8B/8586cdc1-dd4e-4112-a59c-f6bc2766701b.json
new file mode 100644
index 000000000..7a7e506dc
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-v7-8B/8586cdc1-dd4e-4112-a59c-f6bc2766701b.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_Kosmos-EVAA-v7-8B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Kosmos-EVAA-v7-8B",
+    "id": "jaspionjader/Kosmos-EVAA-v7-8B",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4277
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5335
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1337
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3054
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4171
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3836
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-v8-8B/388ef85a-db27-4851-9e6e-2002a75bc6c7.json b/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-v8-8B/388ef85a-db27-4851-9e6e-2002a75bc6c7.json
deleted file mode 100644
index 06443f816..000000000
--- a/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-v8-8B/388ef85a-db27-4851-9e6e-2002a75bc6c7.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_Kosmos-EVAA-v8-8B/1762652580.242712",
-  "retrieved_timestamp": "1762652580.242713",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/Kosmos-EVAA-v8-8B",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/Kosmos-EVAA-v8-8B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.43834027048232027
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5359208647512345
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.13066465256797583
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3036912751677852
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42103124999999997
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.38272938829787234
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-v8-8B/946a7b16-dfa6-42ad-97c1-955bf8a40dae.json b/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-v8-8B/946a7b16-dfa6-42ad-97c1-955bf8a40dae.json
new file mode 100644
index 000000000..5b504be25
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-v8-8B/946a7b16-dfa6-42ad-97c1-955bf8a40dae.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_Kosmos-EVAA-v8-8B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Kosmos-EVAA-v8-8B",
+    "id": "jaspionjader/Kosmos-EVAA-v8-8B",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4383
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5359
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1307
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3037
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.421
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3827
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-v9-8B/cd0c4096-93ee-4a04-83b0-44063770e81b.json b/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-v9-8B/cd0c4096-93ee-4a04-83b0-44063770e81b.json
deleted file mode 100644
index 337821f99..000000000
--- a/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-v9-8B/cd0c4096-93ee-4a04-83b0-44063770e81b.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_Kosmos-EVAA-v9-8B/1762652580.242934",
-  "retrieved_timestamp": "1762652580.242935",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/Kosmos-EVAA-v9-8B",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/Kosmos-EVAA-v9-8B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.43686640336529303
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5360680608930435
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.12764350453172205
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3062080536912752
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4183958333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3819813829787234
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-v9-8B/d9a6cc31-57c4-4480-a019-25a34b31fcc8.json b/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-v9-8B/d9a6cc31-57c4-4480-a019-25a34b31fcc8.json
new file mode 100644
index 000000000..8db1d146b
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-v9-8B/d9a6cc31-57c4-4480-a019-25a34b31fcc8.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_Kosmos-EVAA-v9-8B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Kosmos-EVAA-v9-8B",
+    "id": "jaspionjader/Kosmos-EVAA-v9-8B",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4369
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5361
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1276
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3062
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4184
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.382
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-v9-TitanFusion-Mix-8B/279bd5fa-0ab1-411b-871b-bd9ff23853f6.json b/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-v9-TitanFusion-Mix-8B/279bd5fa-0ab1-411b-871b-bd9ff23853f6.json
new file mode 100644
index 000000000..9e70660a3
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-v9-TitanFusion-Mix-8B/279bd5fa-0ab1-411b-871b-bd9ff23853f6.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_Kosmos-EVAA-v9-TitanFusion-Mix-8B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Kosmos-EVAA-v9-TitanFusion-Mix-8B",
+    "id": "jaspionjader/Kosmos-EVAA-v9-TitanFusion-Mix-8B",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4284
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.554
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1148
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2878
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4354
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3836
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-v9-TitanFusion-Mix-8B/69f3e2b2-8918-41a8-abc6-c84c3d674f94.json b/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-v9-TitanFusion-Mix-8B/69f3e2b2-8918-41a8-abc6-c84c3d674f94.json
deleted file mode 100644
index 0dbf12555..000000000
--- a/data/hfopenllm_v2/jaspionjader/Kosmos-EVAA-v9-TitanFusion-Mix-8B/69f3e2b2-8918-41a8-abc6-c84c3d674f94.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/jaspionjader_Kosmos-EVAA-v9-TitanFusion-Mix-8B/1762652580.243146",
-  "retrieved_timestamp": "1762652580.243147",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
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-  "source_metadata": {
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
-    "name": "jaspionjader/Kosmos-EVAA-v9-TitanFusion-Mix-8B",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/Kosmos-EVAA-v9-TitanFusion-Mix-8B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.428373382624769
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5539931244833417
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-    {
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-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-    }
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-}
diff --git a/data/hfopenllm_v2/jaspionjader/Kosmos-Elusive-8b/60d775f1-47a9-45ae-9b2f-75b95c9d96cd.json b/data/hfopenllm_v2/jaspionjader/Kosmos-Elusive-8b/60d775f1-47a9-45ae-9b2f-75b95c9d96cd.json
deleted file mode 100644
index 8f0387227..000000000
--- a/data/hfopenllm_v2/jaspionjader/Kosmos-Elusive-8b/60d775f1-47a9-45ae-9b2f-75b95c9d96cd.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_Kosmos-Elusive-8b/1762652580.243371",
-  "retrieved_timestamp": "1762652580.243371",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/Kosmos-Elusive-8b",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/Kosmos-Elusive-8b",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-    {
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-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-    {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
-        "score": 0.30788590604026844
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4077916666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3759973404255319
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/Kosmos-Elusive-8b/c26fae10-e65a-49ac-a2da-2dbf024fd10d.json b/data/hfopenllm_v2/jaspionjader/Kosmos-Elusive-8b/c26fae10-e65a-49ac-a2da-2dbf024fd10d.json
new file mode 100644
index 000000000..ab43cc04d
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/Kosmos-Elusive-8b/c26fae10-e65a-49ac-a2da-2dbf024fd10d.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_Kosmos-Elusive-8b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Kosmos-Elusive-8b",
+    "id": "jaspionjader/Kosmos-Elusive-8b",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4169
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5339
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1261
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3079
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4078
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.376
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/Kosmos-Elusive-VENN-8B/6d37b2b4-630e-4471-b7a8-50f8a58902fe.json b/data/hfopenllm_v2/jaspionjader/Kosmos-Elusive-VENN-8B/6d37b2b4-630e-4471-b7a8-50f8a58902fe.json
new file mode 100644
index 000000000..47b464069
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/Kosmos-Elusive-VENN-8B/6d37b2b4-630e-4471-b7a8-50f8a58902fe.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_Kosmos-Elusive-VENN-8B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Kosmos-Elusive-VENN-8B",
+    "id": "jaspionjader/Kosmos-Elusive-VENN-8B",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4233
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5356
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1246
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2995
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4157
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3797
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/Kosmos-Elusive-VENN-8B/d3af54be-9d9a-4a4a-b03e-3468a801795e.json b/data/hfopenllm_v2/jaspionjader/Kosmos-Elusive-VENN-8B/d3af54be-9d9a-4a4a-b03e-3468a801795e.json
deleted file mode 100644
index be451f295..000000000
--- a/data/hfopenllm_v2/jaspionjader/Kosmos-Elusive-VENN-8B/d3af54be-9d9a-4a4a-b03e-3468a801795e.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_Kosmos-Elusive-VENN-8B/1762652580.243592",
-  "retrieved_timestamp": "1762652580.243593",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/Kosmos-Elusive-VENN-8B",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/Kosmos-Elusive-VENN-8B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4232525255211727
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5355598563659026
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.12462235649546828
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.29949664429530204
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4156979166666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3797373670212766
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/Kosmos-Elusive-VENN-Asymmetric-8B/de687865-4297-4130-bcfe-0c5116c9b0d1.json b/data/hfopenllm_v2/jaspionjader/Kosmos-Elusive-VENN-Asymmetric-8B/de687865-4297-4130-bcfe-0c5116c9b0d1.json
new file mode 100644
index 000000000..c8e3d1871
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/Kosmos-Elusive-VENN-Asymmetric-8B/de687865-4297-4130-bcfe-0c5116c9b0d1.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_Kosmos-Elusive-VENN-Asymmetric-8B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Kosmos-Elusive-VENN-Asymmetric-8B",
+    "id": "jaspionjader/Kosmos-Elusive-VENN-Asymmetric-8B",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4542
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5313
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1344
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2945
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4251
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3842
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/Kosmos-Elusive-VENN-Asymmetric-8B/e7cf15b2-0347-48a8-bf84-08e27b3688fd.json b/data/hfopenllm_v2/jaspionjader/Kosmos-Elusive-VENN-Asymmetric-8B/e7cf15b2-0347-48a8-bf84-08e27b3688fd.json
deleted file mode 100644
index 4ab5c5f73..000000000
--- a/data/hfopenllm_v2/jaspionjader/Kosmos-Elusive-VENN-Asymmetric-8B/e7cf15b2-0347-48a8-bf84-08e27b3688fd.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_Kosmos-Elusive-VENN-Asymmetric-8B/1762652580.243807",
-  "retrieved_timestamp": "1762652580.243807",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/Kosmos-Elusive-VENN-Asymmetric-8B",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/Kosmos-Elusive-VENN-Asymmetric-8B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4541771388803929
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5312976840812583
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.13444108761329304
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.29446308724832215
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42506249999999995
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3842253989361702
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/Kosmos-Elusive-VENN-Aurora_faustus-8B/8befbe9f-3ab2-4bc8-bd16-5badd2291d5d.json b/data/hfopenllm_v2/jaspionjader/Kosmos-Elusive-VENN-Aurora_faustus-8B/8befbe9f-3ab2-4bc8-bd16-5badd2291d5d.json
deleted file mode 100644
index 4827a8b74..000000000
--- a/data/hfopenllm_v2/jaspionjader/Kosmos-Elusive-VENN-Aurora_faustus-8B/8befbe9f-3ab2-4bc8-bd16-5badd2291d5d.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_Kosmos-Elusive-VENN-Aurora_faustus-8B/1762652580.244045",
-  "retrieved_timestamp": "1762652580.244046",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/Kosmos-Elusive-VENN-Aurora_faustus-8B",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/Kosmos-Elusive-VENN-Aurora_faustus-8B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4335441074127758
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5303980337010061
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11253776435045318
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2953020134228188
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.417
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3794880319148936
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/Kosmos-Elusive-VENN-Aurora_faustus-8B/ee1acad1-5dc4-4d8b-8aca-544af5dc2392.json b/data/hfopenllm_v2/jaspionjader/Kosmos-Elusive-VENN-Aurora_faustus-8B/ee1acad1-5dc4-4d8b-8aca-544af5dc2392.json
new file mode 100644
index 000000000..c80a27e40
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/Kosmos-Elusive-VENN-Aurora_faustus-8B/ee1acad1-5dc4-4d8b-8aca-544af5dc2392.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_Kosmos-Elusive-VENN-Aurora_faustus-8B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Kosmos-Elusive-VENN-Aurora_faustus-8B",
+    "id": "jaspionjader/Kosmos-Elusive-VENN-Aurora_faustus-8B",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4335
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5304
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1125
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2953
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.417
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3795
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/Kosmos-VENN-8B/52e3f1b1-5a1c-4cca-a36f-9f60284e1883.json b/data/hfopenllm_v2/jaspionjader/Kosmos-VENN-8B/52e3f1b1-5a1c-4cca-a36f-9f60284e1883.json
new file mode 100644
index 000000000..4060c65ec
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/Kosmos-VENN-8B/52e3f1b1-5a1c-4cca-a36f-9f60284e1883.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_Kosmos-VENN-8B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Kosmos-VENN-8B",
+    "id": "jaspionjader/Kosmos-VENN-8B",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4332
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5318
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1412
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2928
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4211
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3801
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/Kosmos-VENN-8B/e14cedfb-79a9-446a-ba16-64f378a47b4a.json b/data/hfopenllm_v2/jaspionjader/Kosmos-VENN-8B/e14cedfb-79a9-446a-ba16-64f378a47b4a.json
deleted file mode 100644
index de925d6da..000000000
--- a/data/hfopenllm_v2/jaspionjader/Kosmos-VENN-8B/e14cedfb-79a9-446a-ba16-64f378a47b4a.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_Kosmos-VENN-8B/1762652580.24428",
-  "retrieved_timestamp": "1762652580.244281",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/Kosmos-VENN-8B",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/Kosmos-VENN-8B",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.433219413378724
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5317923607687299
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.14123867069486404
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.29278523489932884
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42109375
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3800698138297872
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/PRP-Kosmos-EVAA-8B/2d54c67e-fad5-4a61-b3ae-0393f16dc1ba.json b/data/hfopenllm_v2/jaspionjader/PRP-Kosmos-EVAA-8B/2d54c67e-fad5-4a61-b3ae-0393f16dc1ba.json
new file mode 100644
index 000000000..331d553d5
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/PRP-Kosmos-EVAA-8B/2d54c67e-fad5-4a61-b3ae-0393f16dc1ba.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_PRP-Kosmos-EVAA-8B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "PRP-Kosmos-EVAA-8B",
+    "id": "jaspionjader/PRP-Kosmos-EVAA-8B",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3633
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5237
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0959
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3096
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.425
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3766
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/PRP-Kosmos-EVAA-8B/84a37d06-2668-4143-8e2f-5a08651f2dfb.json b/data/hfopenllm_v2/jaspionjader/PRP-Kosmos-EVAA-8B/84a37d06-2668-4143-8e2f-5a08651f2dfb.json
deleted file mode 100644
index b8fd7e751..000000000
--- a/data/hfopenllm_v2/jaspionjader/PRP-Kosmos-EVAA-8B/84a37d06-2668-4143-8e2f-5a08651f2dfb.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_PRP-Kosmos-EVAA-8B/1762652580.244709",
-  "retrieved_timestamp": "1762652580.24471",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/PRP-Kosmos-EVAA-8B",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/PRP-Kosmos-EVAA-8B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.36327721556580983
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5237421324582278
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.09592145015105741
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30956375838926176
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.425
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3765791223404255
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/PRP-Kosmos-EVAA-light-8B/5120e433-f5c7-45fa-be56-566101556271.json b/data/hfopenllm_v2/jaspionjader/PRP-Kosmos-EVAA-light-8B/5120e433-f5c7-45fa-be56-566101556271.json
new file mode 100644
index 000000000..a17b8d20f
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/PRP-Kosmos-EVAA-light-8B/5120e433-f5c7-45fa-be56-566101556271.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_PRP-Kosmos-EVAA-light-8B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "PRP-Kosmos-EVAA-light-8B",
+    "id": "jaspionjader/PRP-Kosmos-EVAA-light-8B",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4321
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5275
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1103
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3221
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4235
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3631
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/PRP-Kosmos-EVAA-light-8B/72c9dcd4-ab00-4f36-a1e6-43e241c8b967.json b/data/hfopenllm_v2/jaspionjader/PRP-Kosmos-EVAA-light-8B/72c9dcd4-ab00-4f36-a1e6-43e241c8b967.json
deleted file mode 100644
index f01a52001..000000000
--- a/data/hfopenllm_v2/jaspionjader/PRP-Kosmos-EVAA-light-8B/72c9dcd4-ab00-4f36-a1e6-43e241c8b967.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_PRP-Kosmos-EVAA-light-8B/1762652580.2449658",
-  "retrieved_timestamp": "1762652580.244967",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/PRP-Kosmos-EVAA-light-8B",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/PRP-Kosmos-EVAA-light-8B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4321201079801593
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5274582578494339
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11027190332326284
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3221476510067114
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4235416666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3631150265957447
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/TSN-Kosmos-EVAA-8B/7f4b4668-c3a0-4575-957d-ba321d55f420.json b/data/hfopenllm_v2/jaspionjader/TSN-Kosmos-EVAA-8B/7f4b4668-c3a0-4575-957d-ba321d55f420.json
new file mode 100644
index 000000000..c4d0d61b7
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/TSN-Kosmos-EVAA-8B/7f4b4668-c3a0-4575-957d-ba321d55f420.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_TSN-Kosmos-EVAA-8B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "TSN-Kosmos-EVAA-8B",
+    "id": "jaspionjader/TSN-Kosmos-EVAA-8B",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4903
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5347
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.145
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3205
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4173
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3831
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/TSN-Kosmos-EVAA-8B/9819f2bd-8108-4fc5-9208-ce295d860435.json b/data/hfopenllm_v2/jaspionjader/TSN-Kosmos-EVAA-8B/9819f2bd-8108-4fc5-9208-ce295d860435.json
deleted file mode 100644
index b8c15025e..000000000
--- a/data/hfopenllm_v2/jaspionjader/TSN-Kosmos-EVAA-8B/9819f2bd-8108-4fc5-9208-ce295d860435.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_TSN-Kosmos-EVAA-8B/1762652580.2451851",
-  "retrieved_timestamp": "1762652580.245186",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/TSN-Kosmos-EVAA-8B",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/TSN-Kosmos-EVAA-8B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.49032234471203073
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5347376087743225
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.14501510574018128
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.32046979865771813
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4173125
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.383061835106383
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/TSN-Kosmos-EVAA-v2-8B/2ce2b8e4-0cd4-4001-8790-ad5e26e3e45c.json b/data/hfopenllm_v2/jaspionjader/TSN-Kosmos-EVAA-v2-8B/2ce2b8e4-0cd4-4001-8790-ad5e26e3e45c.json
deleted file mode 100644
index 69fd1b845..000000000
--- a/data/hfopenllm_v2/jaspionjader/TSN-Kosmos-EVAA-v2-8B/2ce2b8e4-0cd4-4001-8790-ad5e26e3e45c.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_TSN-Kosmos-EVAA-v2-8B/1762652580.2454138",
-  "retrieved_timestamp": "1762652580.245415",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/TSN-Kosmos-EVAA-v2-8B",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/TSN-Kosmos-EVAA-v2-8B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.46669171132594844
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.534342097284994
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.10800604229607251
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3221476510067114
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41864583333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3762466755319149
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/TSN-Kosmos-EVAA-v2-8B/9245b74d-4b9d-4158-a402-0c3742097eba.json b/data/hfopenllm_v2/jaspionjader/TSN-Kosmos-EVAA-v2-8B/9245b74d-4b9d-4158-a402-0c3742097eba.json
new file mode 100644
index 000000000..7eb53a06b
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/TSN-Kosmos-EVAA-v2-8B/9245b74d-4b9d-4158-a402-0c3742097eba.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_TSN-Kosmos-EVAA-v2-8B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "TSN-Kosmos-EVAA-v2-8B",
+    "id": "jaspionjader/TSN-Kosmos-EVAA-v2-8B",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4667
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5343
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.108
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3221
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4186
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3762
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/bbb-1/29a5fcd3-9c22-424c-ab17-70cfe187aea1.json b/data/hfopenllm_v2/jaspionjader/bbb-1/29a5fcd3-9c22-424c-ab17-70cfe187aea1.json
new file mode 100644
index 000000000..3ef1955b2
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/bbb-1/29a5fcd3-9c22-424c-ab17-70cfe187aea1.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_bbb-1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "bbb-1",
+    "id": "jaspionjader/bbb-1",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4864
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5376
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1367
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3138
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4171
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3897
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/bbb-1/b6ca35e1-8680-49e8-a6dd-963214be7411.json b/data/hfopenllm_v2/jaspionjader/bbb-1/b6ca35e1-8680-49e8-a6dd-963214be7411.json
deleted file mode 100644
index 53bc99d38..000000000
--- a/data/hfopenllm_v2/jaspionjader/bbb-1/b6ca35e1-8680-49e8-a6dd-963214be7411.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_bbb-1/1762652580.2456498",
-  "retrieved_timestamp": "1762652580.245653",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/bbb-1",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/bbb-1",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4864005283758206
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5375556962119087
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.13670694864048338
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.313758389261745
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41706250000000006
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.38971077127659576
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/bbb-2/155b7412-cc16-45c3-9261-acc9322a0dcc.json b/data/hfopenllm_v2/jaspionjader/bbb-2/155b7412-cc16-45c3-9261-acc9322a0dcc.json
deleted file mode 100644
index f13780cdb..000000000
--- a/data/hfopenllm_v2/jaspionjader/bbb-2/155b7412-cc16-45c3-9261-acc9322a0dcc.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_bbb-2/1762652580.2460952",
-  "retrieved_timestamp": "1762652580.2460968",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/bbb-2",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/bbb-2",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4077403511571519
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5066789926627318
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11253776435045318
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30201342281879195
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4144583333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.363530585106383
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/bbb-2/af71bfa0-1077-4c96-a4c1-0aa28dc789bf.json b/data/hfopenllm_v2/jaspionjader/bbb-2/af71bfa0-1077-4c96-a4c1-0aa28dc789bf.json
new file mode 100644
index 000000000..6b4a860f0
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/bbb-2/af71bfa0-1077-4c96-a4c1-0aa28dc789bf.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_bbb-2/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "bbb-2",
+    "id": "jaspionjader/bbb-2",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4077
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5067
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1125
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.302
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4145
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3635
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/bbb-3/258ebe6d-191d-4804-b5e1-5cd6ce93ba88.json b/data/hfopenllm_v2/jaspionjader/bbb-3/258ebe6d-191d-4804-b5e1-5cd6ce93ba88.json
new file mode 100644
index 000000000..2f10bb3d8
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/bbb-3/258ebe6d-191d-4804-b5e1-5cd6ce93ba88.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_bbb-3/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "bbb-3",
+    "id": "jaspionjader/bbb-3",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4168
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5158
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1405
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3112
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4265
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3856
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/bbb-3/94668ddb-d2fb-44e2-8ed7-10179d145366.json b/data/hfopenllm_v2/jaspionjader/bbb-3/94668ddb-d2fb-44e2-8ed7-10179d145366.json
deleted file mode 100644
index 5553b6d41..000000000
--- a/data/hfopenllm_v2/jaspionjader/bbb-3/94668ddb-d2fb-44e2-8ed7-10179d145366.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_bbb-3/1762652580.24635",
-  "retrieved_timestamp": "1762652580.246351",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/bbb-3",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/bbb-3",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.416832892281369
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5157831821186084
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1404833836858006
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.311241610738255
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4264895833333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.38563829787234044
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/bbb-4/4765f197-82ed-44b3-9a7c-7cbabc6ecd8e.json b/data/hfopenllm_v2/jaspionjader/bbb-4/4765f197-82ed-44b3-9a7c-7cbabc6ecd8e.json
new file mode 100644
index 000000000..2e270c373
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/bbb-4/4765f197-82ed-44b3-9a7c-7cbabc6ecd8e.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_bbb-4/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "bbb-4",
+    "id": "jaspionjader/bbb-4",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4768
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5212
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1276
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2978
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4092
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3773
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/bbb-4/828a6bd0-a205-4327-bc77-2e8a84c0b69e.json b/data/hfopenllm_v2/jaspionjader/bbb-4/828a6bd0-a205-4327-bc77-2e8a84c0b69e.json
deleted file mode 100644
index db9c748db..000000000
--- a/data/hfopenllm_v2/jaspionjader/bbb-4/828a6bd0-a205-4327-bc77-2e8a84c0b69e.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_bbb-4/1762652580.2465842",
-  "retrieved_timestamp": "1762652580.2465851",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/bbb-4",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/bbb-4",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.47675833455232114
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.52115051798211
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.12764350453172205
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-      }
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-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3773271276595745
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/bbb-5/8c0a66fb-c87d-489d-b071-b4a599562ead.json b/data/hfopenllm_v2/jaspionjader/bbb-5/8c0a66fb-c87d-489d-b071-b4a599562ead.json
deleted file mode 100644
index 27bd5325d..000000000
--- a/data/hfopenllm_v2/jaspionjader/bbb-5/8c0a66fb-c87d-489d-b071-b4a599562ead.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_bbb-5/1762652580.2468202",
-  "retrieved_timestamp": "1762652580.2468212",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/bbb-5",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/bbb-5",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4702888336281067
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5206902586604485
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.13972809667673716
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30453020134228187
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3998229166666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3833942819148936
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/bbb-5/a5d66f97-1f4b-43da-a83a-4a262e297fd9.json b/data/hfopenllm_v2/jaspionjader/bbb-5/a5d66f97-1f4b-43da-a83a-4a262e297fd9.json
new file mode 100644
index 000000000..e596a11bf
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/bbb-5/a5d66f97-1f4b-43da-a83a-4a262e297fd9.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_bbb-5/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "bbb-5",
+    "id": "jaspionjader/bbb-5",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4703
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5207
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1397
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3045
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3998
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3834
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/bbb-6/5d29cf73-65d6-4965-a504-4caf07108cc8.json b/data/hfopenllm_v2/jaspionjader/bbb-6/5d29cf73-65d6-4965-a504-4caf07108cc8.json
new file mode 100644
index 000000000..33980d484
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/bbb-6/5d29cf73-65d6-4965-a504-4caf07108cc8.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_bbb-6/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "bbb-6",
+    "id": "jaspionjader/bbb-6",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.488
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5211
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.139
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3104
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4052
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3871
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/bbb-6/ef8025de-fe9f-4a79-97f6-c26c18ab049a.json b/data/hfopenllm_v2/jaspionjader/bbb-6/ef8025de-fe9f-4a79-97f6-c26c18ab049a.json
deleted file mode 100644
index d6e0584c5..000000000
--- a/data/hfopenllm_v2/jaspionjader/bbb-6/ef8025de-fe9f-4a79-97f6-c26c18ab049a.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_bbb-6/1762652580.247051",
-  "retrieved_timestamp": "1762652580.247051",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/bbb-6",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/bbb-6",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.48797413086166924
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5211453749255449
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.13897280966767372
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3104026845637584
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.40515625000000005
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3871343085106383
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/bbb-7/15ec04ae-30d3-4ffb-9b0c-54ba63410e3d.json b/data/hfopenllm_v2/jaspionjader/bbb-7/15ec04ae-30d3-4ffb-9b0c-54ba63410e3d.json
new file mode 100644
index 000000000..36795088a
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/bbb-7/15ec04ae-30d3-4ffb-9b0c-54ba63410e3d.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_bbb-7/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "bbb-7",
+    "id": "jaspionjader/bbb-7",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4828
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5211
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1367
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3104
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4038
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.386
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/bbb-7/a31fbd82-2e21-40e7-a73a-c6351c80bae7.json b/data/hfopenllm_v2/jaspionjader/bbb-7/a31fbd82-2e21-40e7-a73a-c6351c80bae7.json
deleted file mode 100644
index 7cede2aa2..000000000
--- a/data/hfopenllm_v2/jaspionjader/bbb-7/a31fbd82-2e21-40e7-a73a-c6351c80bae7.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_bbb-7/1762652580.2473001",
-  "retrieved_timestamp": "1762652580.247304",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/bbb-7",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/bbb-7",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.48280340607366234
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5211089947725771
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.13670694864048338
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3104026845637584
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4038229166666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3859707446808511
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/bh-1/15ec7997-1333-43c6-869a-ce4589af56d1.json b/data/hfopenllm_v2/jaspionjader/bh-1/15ec7997-1333-43c6-869a-ce4589af56d1.json
deleted file mode 100644
index f99f1a82a..000000000
--- a/data/hfopenllm_v2/jaspionjader/bh-1/15ec7997-1333-43c6-869a-ce4589af56d1.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_bh-1/1762652580.2475939",
-  "retrieved_timestamp": "1762652580.247595",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/bh-1",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/bh-1",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42842325030917966
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5890155164168736
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.05362537764350453
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.29446308724832215
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4441041666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3449135638297872
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/bh-1/2ed96c70-390b-44de-aa08-9883a2f33ff3.json b/data/hfopenllm_v2/jaspionjader/bh-1/2ed96c70-390b-44de-aa08-9883a2f33ff3.json
new file mode 100644
index 000000000..a17534661
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/bh-1/2ed96c70-390b-44de-aa08-9883a2f33ff3.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_bh-1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "bh-1",
+    "id": "jaspionjader/bh-1",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4284
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.589
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0536
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2945
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4441
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3449
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/bh-10/67c95889-8a67-40fd-99e2-62e767c16416.json b/data/hfopenllm_v2/jaspionjader/bh-10/67c95889-8a67-40fd-99e2-62e767c16416.json
new file mode 100644
index 000000000..bef06887f
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/bh-10/67c95889-8a67-40fd-99e2-62e767c16416.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_bh-10/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "bh-10",
+    "id": "jaspionjader/bh-10",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4618
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5856
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1103
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3003
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4199
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3708
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/bh-10/86411dbb-e28b-4e9d-856e-fcc001252fbe.json b/data/hfopenllm_v2/jaspionjader/bh-10/86411dbb-e28b-4e9d-856e-fcc001252fbe.json
deleted file mode 100644
index 14ce33ba1..000000000
--- a/data/hfopenllm_v2/jaspionjader/bh-10/86411dbb-e28b-4e9d-856e-fcc001252fbe.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_bh-10/1762652580.247846",
-  "retrieved_timestamp": "1762652580.2478468",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/bh-10",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/bh-10",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.46184568057199343
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5856025427339699
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11027190332326284
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30033557046979864
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41985416666666664
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37076130319148937
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/bh-11/804f4be8-a8a9-473f-a898-d71b742a62eb.json b/data/hfopenllm_v2/jaspionjader/bh-11/804f4be8-a8a9-473f-a898-d71b742a62eb.json
deleted file mode 100644
index 40218e076..000000000
--- a/data/hfopenllm_v2/jaspionjader/bh-11/804f4be8-a8a9-473f-a898-d71b742a62eb.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_bh-11/1762652580.2481",
-  "retrieved_timestamp": "1762652580.2481012",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/bh-11",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/bh-11",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.45754930251732073
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5851155912628809
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11782477341389729
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3070469798657718
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4145520833333334
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3738364361702128
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/bh-11/a518f39d-e073-493d-9a4f-9af53fc71abf.json b/data/hfopenllm_v2/jaspionjader/bh-11/a518f39d-e073-493d-9a4f-9af53fc71abf.json
new file mode 100644
index 000000000..517e4b745
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/bh-11/a518f39d-e073-493d-9a4f-9af53fc71abf.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_bh-11/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "bh-11",
+    "id": "jaspionjader/bh-11",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4575
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5851
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1178
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.307
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4146
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3738
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/bh-12/24f0d9bc-d743-4f46-b5a6-e855e39a1daf.json b/data/hfopenllm_v2/jaspionjader/bh-12/24f0d9bc-d743-4f46-b5a6-e855e39a1daf.json
new file mode 100644
index 000000000..1eb93e6a6
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/bh-12/24f0d9bc-d743-4f46-b5a6-e855e39a1daf.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_bh-12/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "bh-12",
+    "id": "jaspionjader/bh-12",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4734
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5802
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1186
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3003
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4145
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3737
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/bh-12/736ee66e-bd19-4275-afaf-73c2112c2fbd.json b/data/hfopenllm_v2/jaspionjader/bh-12/736ee66e-bd19-4275-afaf-73c2112c2fbd.json
deleted file mode 100644
index 9e1ecff30..000000000
--- a/data/hfopenllm_v2/jaspionjader/bh-12/736ee66e-bd19-4275-afaf-73c2112c2fbd.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_bh-12/1762652580.248367",
-  "retrieved_timestamp": "1762652580.248368",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/bh-12",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/bh-12",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.47338617091539337
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5802489392471556
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11858006042296072
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30033557046979864
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4144895833333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37367021276595747
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/bh-13/3d27f6d9-05a0-44bd-a225-6e6a0bf4a35b.json b/data/hfopenllm_v2/jaspionjader/bh-13/3d27f6d9-05a0-44bd-a225-6e6a0bf4a35b.json
new file mode 100644
index 000000000..932f2640d
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/bh-13/3d27f6d9-05a0-44bd-a225-6e6a0bf4a35b.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_bh-13/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "bh-13",
+    "id": "jaspionjader/bh-13",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4698
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5778
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1125
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.307
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4159
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.373
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/bh-13/da5a3c32-371f-44e5-89a7-c9ba6e98664e.json b/data/hfopenllm_v2/jaspionjader/bh-13/da5a3c32-371f-44e5-89a7-c9ba6e98664e.json
deleted file mode 100644
index a193f2b5b..000000000
--- a/data/hfopenllm_v2/jaspionjader/bh-13/da5a3c32-371f-44e5-89a7-c9ba6e98664e.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_bh-13/1762652580.248588",
-  "retrieved_timestamp": "1762652580.248588",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/bh-13",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/bh-13",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
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-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4697890486132351
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-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5777886799254942
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-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
-        "score": 0.3070469798657718
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41585416666666664
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37300531914893614
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/bh-15/ad28e7b8-69e6-4fb9-bec4-62c67fae6d58.json b/data/hfopenllm_v2/jaspionjader/bh-15/ad28e7b8-69e6-4fb9-bec4-62c67fae6d58.json
new file mode 100644
index 000000000..87663e79d
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/bh-15/ad28e7b8-69e6-4fb9-bec4-62c67fae6d58.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_bh-15/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "bh-15",
+    "id": "jaspionjader/bh-15",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4745
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5819
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1246
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2987
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4105
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3767
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/bh-15/af3bd92d-45f5-4a48-89aa-b8c956209d5a.json b/data/hfopenllm_v2/jaspionjader/bh-15/af3bd92d-45f5-4a48-89aa-b8c956209d5a.json
deleted file mode 100644
index a4aa4857c..000000000
--- a/data/hfopenllm_v2/jaspionjader/bh-15/af3bd92d-45f5-4a48-89aa-b8c956209d5a.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_bh-15/1762652580.248791",
-  "retrieved_timestamp": "1762652580.2487922",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/bh-15",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/bh-15",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.47453534399836883
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5818643001829722
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.12462235649546828
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2986577181208054
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4105208333333334
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37666223404255317
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/bh-16/0da639d4-181c-4ee1-808c-3de8003c2471.json b/data/hfopenllm_v2/jaspionjader/bh-16/0da639d4-181c-4ee1-808c-3de8003c2471.json
new file mode 100644
index 000000000..5973a4f9d
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/bh-16/0da639d4-181c-4ee1-808c-3de8003c2471.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_bh-16/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "bh-16",
+    "id": "jaspionjader/bh-16",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4731
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5783
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1193
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3029
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4159
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3776
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/bh-16/c98928d3-0d7f-429c-927c-bf8fa432101a.json b/data/hfopenllm_v2/jaspionjader/bh-16/c98928d3-0d7f-429c-927c-bf8fa432101a.json
deleted file mode 100644
index 1eee1aa4d..000000000
--- a/data/hfopenllm_v2/jaspionjader/bh-16/c98928d3-0d7f-429c-927c-bf8fa432101a.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_bh-16/1762652580.2489972",
-  "retrieved_timestamp": "1762652580.248998",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/bh-16",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/bh-16",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4730614768813415
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5783335636603978
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11933534743202417
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3028523489932886
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4158541666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37757646276595747
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/bh-17/480bd62c-bc67-4379-bce0-b28a5d6bdf4f.json b/data/hfopenllm_v2/jaspionjader/bh-17/480bd62c-bc67-4379-bce0-b28a5d6bdf4f.json
new file mode 100644
index 000000000..cd717325d
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/bh-17/480bd62c-bc67-4379-bce0-b28a5d6bdf4f.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_bh-17/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "bh-17",
+    "id": "jaspionjader/bh-17",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4722
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5776
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1133
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2978
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4158
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3757
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/bh-17/787d8040-25c8-4893-b140-cf041260d767.json b/data/hfopenllm_v2/jaspionjader/bh-17/787d8040-25c8-4893-b140-cf041260d767.json
deleted file mode 100644
index 9f9f97dba..000000000
--- a/data/hfopenllm_v2/jaspionjader/bh-17/787d8040-25c8-4893-b140-cf041260d767.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_bh-17/1762652580.249204",
-  "retrieved_timestamp": "1762652580.2492049",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/bh-17",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/bh-17",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4721871301480073
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5776302177859685
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11329305135951662
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2978187919463087
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41582291666666665
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37566489361702127
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/bh-18/6aad7ade-7bd0-4515-b4ac-2299c58da098.json b/data/hfopenllm_v2/jaspionjader/bh-18/6aad7ade-7bd0-4515-b4ac-2299c58da098.json
deleted file mode 100644
index 25420b0d8..000000000
--- a/data/hfopenllm_v2/jaspionjader/bh-18/6aad7ade-7bd0-4515-b4ac-2299c58da098.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_bh-18/1762652580.249514",
-  "retrieved_timestamp": "1762652580.249515",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/bh-18",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/bh-18",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.47246195649764844
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5823837707078298
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11858006042296072
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30033557046979864
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4184895833333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37566489361702127
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/bh-18/dd94c18e-b2c3-4135-aa2d-5eb0248315d0.json b/data/hfopenllm_v2/jaspionjader/bh-18/dd94c18e-b2c3-4135-aa2d-5eb0248315d0.json
new file mode 100644
index 000000000..0e961f484
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/bh-18/dd94c18e-b2c3-4135-aa2d-5eb0248315d0.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_bh-18/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "bh-18",
+    "id": "jaspionjader/bh-18",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4725
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5824
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1186
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3003
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4185
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3757
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/bh-19/81914fd7-1410-4b80-9be9-6ebfbb664613.json b/data/hfopenllm_v2/jaspionjader/bh-19/81914fd7-1410-4b80-9be9-6ebfbb664613.json
deleted file mode 100644
index f74187dff..000000000
--- a/data/hfopenllm_v2/jaspionjader/bh-19/81914fd7-1410-4b80-9be9-6ebfbb664613.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_bh-19/1762652580.249828",
-  "retrieved_timestamp": "1762652580.249829",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/bh-19",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/bh-19",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.45842364925065493
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5765774285787187
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11933534743202417
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.29697986577181207
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.417125
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3774933510638298
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/bh-19/a2ae2953-e341-49be-8469-32bd41d780d7.json b/data/hfopenllm_v2/jaspionjader/bh-19/a2ae2953-e341-49be-8469-32bd41d780d7.json
new file mode 100644
index 000000000..4406baf52
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/bh-19/a2ae2953-e341-49be-8469-32bd41d780d7.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_bh-19/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "bh-19",
+    "id": "jaspionjader/bh-19",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4584
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5766
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1193
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.297
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4171
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3775
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/bh-2/23bdd694-f250-46dd-9b8b-526fda47bc9e.json b/data/hfopenllm_v2/jaspionjader/bh-2/23bdd694-f250-46dd-9b8b-526fda47bc9e.json
new file mode 100644
index 000000000..504f5d126
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/bh-2/23bdd694-f250-46dd-9b8b-526fda47bc9e.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_bh-2/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "bh-2",
+    "id": "jaspionjader/bh-2",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4579
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5937
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1027
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3012
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4186
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3695
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/bh-2/3e4b8dcc-9270-4b14-952f-c6b96ee8ce57.json b/data/hfopenllm_v2/jaspionjader/bh-2/3e4b8dcc-9270-4b14-952f-c6b96ee8ce57.json
deleted file mode 100644
index 9378e0e5a..000000000
--- a/data/hfopenllm_v2/jaspionjader/bh-2/3e4b8dcc-9270-4b14-952f-c6b96ee8ce57.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_bh-2/1762652580.250077",
-  "retrieved_timestamp": "1762652580.250078",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/bh-2",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/bh-2",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.45792386423578324
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5937358907182445
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1027190332326284
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3011744966442953
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41864583333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3695146276595745
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/bh-20/cfe4ab09-c772-4617-88b6-77e49553605b.json b/data/hfopenllm_v2/jaspionjader/bh-20/cfe4ab09-c772-4617-88b6-77e49553605b.json
deleted file mode 100644
index fb98017a6..000000000
--- a/data/hfopenllm_v2/jaspionjader/bh-20/cfe4ab09-c772-4617-88b6-77e49553605b.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_bh-20/1762652580.2503",
-  "retrieved_timestamp": "1762652580.2503",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/bh-20",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/bh-20",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4727367828472896
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.574973333640619
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.12009063444108761
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.287751677852349
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4105208333333334
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3768284574468085
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/bh-20/d600a69d-1952-4e30-abe8-1769ab63ac29.json b/data/hfopenllm_v2/jaspionjader/bh-20/d600a69d-1952-4e30-abe8-1769ab63ac29.json
new file mode 100644
index 000000000..47f8d0aaa
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/bh-20/d600a69d-1952-4e30-abe8-1769ab63ac29.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_bh-20/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "bh-20",
+    "id": "jaspionjader/bh-20",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4727
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.575
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1201
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2878
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4105
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3768
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/bh-21/a369ff4f-7fe9-4764-be74-83563dbaf635.json b/data/hfopenllm_v2/jaspionjader/bh-21/a369ff4f-7fe9-4764-be74-83563dbaf635.json
deleted file mode 100644
index 397bccf37..000000000
--- a/data/hfopenllm_v2/jaspionjader/bh-21/a369ff4f-7fe9-4764-be74-83563dbaf635.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_bh-21/1762652580.25052",
-  "retrieved_timestamp": "1762652580.2505212",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/bh-21",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/bh-21",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.47001400727846554
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5738369241857685
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
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-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2978187919463087
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4157916666666667
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-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37757646276595747
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-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/bh-21/afc031d4-852e-4ead-9098-6ce30112b459.json b/data/hfopenllm_v2/jaspionjader/bh-21/afc031d4-852e-4ead-9098-6ce30112b459.json
new file mode 100644
index 000000000..00f6374fa
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/bh-21/afc031d4-852e-4ead-9098-6ce30112b459.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_bh-21/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "bh-21",
+    "id": "jaspionjader/bh-21",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.47
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5738
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+        "score": 0.1216
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2978
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4158
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3776
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/bh-22/cb33e29f-e5e1-4bf5-9e20-86d9c3486d2d.json b/data/hfopenllm_v2/jaspionjader/bh-22/cb33e29f-e5e1-4bf5-9e20-86d9c3486d2d.json
new file mode 100644
index 000000000..1e2ca8954
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/bh-22/cb33e29f-e5e1-4bf5-9e20-86d9c3486d2d.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_bh-22/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "bh-22",
+    "id": "jaspionjader/bh-22",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.46
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5793
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1186
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2961
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4172
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3764
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/bh-22/f3815ff9-c1bd-4706-a770-4c0b0e8c5d13.json b/data/hfopenllm_v2/jaspionjader/bh-22/f3815ff9-c1bd-4706-a770-4c0b0e8c5d13.json
deleted file mode 100644
index 226dbe7d7..000000000
--- a/data/hfopenllm_v2/jaspionjader/bh-22/f3815ff9-c1bd-4706-a770-4c0b0e8c5d13.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_bh-22/1762652580.250869",
-  "retrieved_timestamp": "1762652580.25087",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/bh-22",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/bh-22",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "evaluation_name": "BBH",
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-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.579296884452635
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
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-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2961409395973154
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41715625000000006
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3764128989361702
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/bh-23/a4b93124-1151-4f69-8a5e-6b916e8cf11f.json b/data/hfopenllm_v2/jaspionjader/bh-23/a4b93124-1151-4f69-8a5e-6b916e8cf11f.json
new file mode 100644
index 000000000..532376bf1
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/bh-23/a4b93124-1151-4f69-8a5e-6b916e8cf11f.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_bh-23/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "bh-23",
+    "id": "jaspionjader/bh-23",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4658
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.57
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1201
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2945
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4197
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3796
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/bh-23/f4db95ae-8e3d-45ed-9c53-3b30fde0cb3e.json b/data/hfopenllm_v2/jaspionjader/bh-23/f4db95ae-8e3d-45ed-9c53-3b30fde0cb3e.json
deleted file mode 100644
index 1636fb8fa..000000000
--- a/data/hfopenllm_v2/jaspionjader/bh-23/f4db95ae-8e3d-45ed-9c53-3b30fde0cb3e.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/jaspionjader_bh-23/1762652580.2511601",
-  "retrieved_timestamp": "1762652580.251161",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/bh-23",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/bh-23",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.46576749690820357
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-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
-        "score": 0.12009063444108761
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-    },
-    {
-      "evaluation_name": "GPQA",
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-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
-        "score": 0.29446308724832215
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4197291666666667
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37957114361702127
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/bh-24/0b27b829-6588-4f7b-80fe-6e6767287a38.json b/data/hfopenllm_v2/jaspionjader/bh-24/0b27b829-6588-4f7b-80fe-6e6767287a38.json
deleted file mode 100644
index 550d7b6af..000000000
--- a/data/hfopenllm_v2/jaspionjader/bh-24/0b27b829-6588-4f7b-80fe-6e6767287a38.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_bh-24/1762652580.251392",
-  "retrieved_timestamp": "1762652580.251392",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/bh-24",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/bh-24",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
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-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    {
-      "evaluation_name": "BBH",
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    {
-      "evaluation_name": "MATH Level 5",
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-      "evaluation_name": "MMLU-PRO",
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-}
diff --git a/data/hfopenllm_v2/jaspionjader/bh-24/efe11d8f-65e6-4ba6-8148-fdd43c9346be.json b/data/hfopenllm_v2/jaspionjader/bh-24/efe11d8f-65e6-4ba6-8148-fdd43c9346be.json
new file mode 100644
index 000000000..22202dd5f
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/bh-24/efe11d8f-65e6-4ba6-8148-fdd43c9346be.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_bh-24/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "bh-24",
+    "id": "jaspionjader/bh-24",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4715
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5717
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1269
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2961
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4158
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3809
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/bh-25/923da7be-2ec8-46b2-8187-fe08eb86d5a0.json b/data/hfopenllm_v2/jaspionjader/bh-25/923da7be-2ec8-46b2-8187-fe08eb86d5a0.json
new file mode 100644
index 000000000..ae523eebf
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/bh-25/923da7be-2ec8-46b2-8187-fe08eb86d5a0.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_bh-25/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "bh-25",
+    "id": "jaspionjader/bh-25",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4752
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5706
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1133
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2911
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4118
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3782
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/bh-25/a0c16d3d-e3f2-4c50-975a-70b69824b3d5.json b/data/hfopenllm_v2/jaspionjader/bh-25/a0c16d3d-e3f2-4c50-975a-70b69824b3d5.json
deleted file mode 100644
index 91466e670..000000000
--- a/data/hfopenllm_v2/jaspionjader/bh-25/a0c16d3d-e3f2-4c50-975a-70b69824b3d5.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_bh-25/1762652580.251633",
-  "retrieved_timestamp": "1762652580.251633",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/bh-25",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/bh-25",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.47518473206647255
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5705628020556314
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11329305135951662
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2911073825503356
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4117916666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37824135638297873
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/bh-26/0218b7de-bbd7-4196-8fec-3f6fb790a3c1.json b/data/hfopenllm_v2/jaspionjader/bh-26/0218b7de-bbd7-4196-8fec-3f6fb790a3c1.json
deleted file mode 100644
index bb10be634..000000000
--- a/data/hfopenllm_v2/jaspionjader/bh-26/0218b7de-bbd7-4196-8fec-3f6fb790a3c1.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_bh-26/1762652580.251851",
-  "retrieved_timestamp": "1762652580.251852",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/bh-26",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/bh-26",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4690897928607206
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5734958656360526
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1163141993957704
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.29949664429530204
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4276979166666666
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3771609042553192
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/bh-26/1652b9fe-640a-48f9-b7a5-20ae28fb5985.json b/data/hfopenllm_v2/jaspionjader/bh-26/1652b9fe-640a-48f9-b7a5-20ae28fb5985.json
new file mode 100644
index 000000000..4a003c489
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/bh-26/1652b9fe-640a-48f9-b7a5-20ae28fb5985.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_bh-26/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "bh-26",
+    "id": "jaspionjader/bh-26",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4691
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5735
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1163
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2995
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4277
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3772
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/bh-27/572463ed-f6b9-460d-9c38-0e0ee5327511.json b/data/hfopenllm_v2/jaspionjader/bh-27/572463ed-f6b9-460d-9c38-0e0ee5327511.json
new file mode 100644
index 000000000..041f63301
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/bh-27/572463ed-f6b9-460d-9c38-0e0ee5327511.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_bh-27/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "bh-27",
+    "id": "jaspionjader/bh-27",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4819
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5714
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1276
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2961
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4091
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3799
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/bh-27/68435a43-944b-4c66-979b-eb48f7a8e77a.json b/data/hfopenllm_v2/jaspionjader/bh-27/68435a43-944b-4c66-979b-eb48f7a8e77a.json
deleted file mode 100644
index ea91466ed..000000000
--- a/data/hfopenllm_v2/jaspionjader/bh-27/68435a43-944b-4c66-979b-eb48f7a8e77a.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_bh-27/1762652580.2520802",
-  "retrieved_timestamp": "1762652580.252081",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/bh-27",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/bh-27",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4818791916559174
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.571405917910282
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.12764350453172205
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2961409395973154
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.409125
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3799035904255319
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/bh-28/0dc95982-e5b0-4011-9e5b-48af7e3048f0.json b/data/hfopenllm_v2/jaspionjader/bh-28/0dc95982-e5b0-4011-9e5b-48af7e3048f0.json
deleted file mode 100644
index 6dbc1fbe0..000000000
--- a/data/hfopenllm_v2/jaspionjader/bh-28/0dc95982-e5b0-4011-9e5b-48af7e3048f0.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_bh-28/1762652580.252297",
-  "retrieved_timestamp": "1762652580.2522979",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/bh-28",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/bh-28",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4785070280189896
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5702617832390487
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.12311178247734139
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2986577181208054
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.413125
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3812333776595745
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/bh-28/5f6bbbfd-16a8-4ea8-b9d9-b436a882700a.json b/data/hfopenllm_v2/jaspionjader/bh-28/5f6bbbfd-16a8-4ea8-b9d9-b436a882700a.json
new file mode 100644
index 000000000..9d000a51b
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/bh-28/5f6bbbfd-16a8-4ea8-b9d9-b436a882700a.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_bh-28/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "bh-28",
+    "id": "jaspionjader/bh-28",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4785
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5703
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1231
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2987
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4131
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3812
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/bh-29/012eeeed-c556-460d-82f6-34bdc31da5cf.json b/data/hfopenllm_v2/jaspionjader/bh-29/012eeeed-c556-460d-82f6-34bdc31da5cf.json
deleted file mode 100644
index 0a8ab3328..000000000
--- a/data/hfopenllm_v2/jaspionjader/bh-29/012eeeed-c556-460d-82f6-34bdc31da5cf.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/jaspionjader_bh-29/1762652580.252519",
-  "retrieved_timestamp": "1762652580.2525198",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/bh-29",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/bh-29",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.46881496651107946
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5670161357895335
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
-        "score": 0.12084592145015106
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2953020134228188
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4236979166666666
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-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.38189827127659576
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-}
diff --git a/data/hfopenllm_v2/jaspionjader/bh-29/32322361-f18d-480d-9475-cd11a45bc4bc.json b/data/hfopenllm_v2/jaspionjader/bh-29/32322361-f18d-480d-9475-cd11a45bc4bc.json
new file mode 100644
index 000000000..015e4ce5c
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/bh-29/32322361-f18d-480d-9475-cd11a45bc4bc.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_bh-29/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "bh-29",
+    "id": "jaspionjader/bh-29",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4688
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.567
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1208
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2953
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4237
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3819
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/bh-3/37e59290-b4ea-4a44-bfb0-cdbe781c4d7f.json b/data/hfopenllm_v2/jaspionjader/bh-3/37e59290-b4ea-4a44-bfb0-cdbe781c4d7f.json
deleted file mode 100644
index 6f653b5ca..000000000
--- a/data/hfopenllm_v2/jaspionjader/bh-3/37e59290-b4ea-4a44-bfb0-cdbe781c4d7f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_bh-3/1762652580.2527301",
-  "retrieved_timestamp": "1762652580.2527308",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/bh-3",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/bh-3",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4663670172918966
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5890722855221537
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1148036253776435
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30201342281879195
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41728125
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37017952127659576
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/bh-3/f62d1aee-2d9e-466e-85e2-002fae5d2504.json b/data/hfopenllm_v2/jaspionjader/bh-3/f62d1aee-2d9e-466e-85e2-002fae5d2504.json
new file mode 100644
index 000000000..7c0e9e2c4
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/bh-3/f62d1aee-2d9e-466e-85e2-002fae5d2504.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_bh-3/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "bh-3",
+    "id": "jaspionjader/bh-3",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4664
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5891
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1148
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.302
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4173
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3702
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/bh-30/6d3a64df-5ebb-4cd8-bd6c-de799d185fe1.json b/data/hfopenllm_v2/jaspionjader/bh-30/6d3a64df-5ebb-4cd8-bd6c-de799d185fe1.json
deleted file mode 100644
index bba3db4c9..000000000
--- a/data/hfopenllm_v2/jaspionjader/bh-30/6d3a64df-5ebb-4cd8-bd6c-de799d185fe1.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_bh-30/1762652580.252943",
-  "retrieved_timestamp": "1762652580.2529438",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/bh-30",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/bh-30",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.46664184364153777
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5705838505746653
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.12311178247734139
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.29278523489932884
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4144270833333334
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3781582446808511
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/bh-30/af389bf1-da63-49a9-9e49-32613d8d05b8.json b/data/hfopenllm_v2/jaspionjader/bh-30/af389bf1-da63-49a9-9e49-32613d8d05b8.json
new file mode 100644
index 000000000..8e6b682db
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/bh-30/af389bf1-da63-49a9-9e49-32613d8d05b8.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_bh-30/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "bh-30",
+    "id": "jaspionjader/bh-30",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4666
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5706
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1231
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2928
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4144
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3782
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/bh-31/a637936e-646b-4c21-964a-61e253fd3705.json b/data/hfopenllm_v2/jaspionjader/bh-31/a637936e-646b-4c21-964a-61e253fd3705.json
deleted file mode 100644
index 4d2f8f274..000000000
--- a/data/hfopenllm_v2/jaspionjader/bh-31/a637936e-646b-4c21-964a-61e253fd3705.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_bh-31/1762652580.253162",
-  "retrieved_timestamp": "1762652580.253163",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/bh-31",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/bh-31",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4727367828472896
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5665082303171874
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1283987915407855
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2936241610738255
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4104270833333334
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3819813829787234
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/bh-31/ea13ae62-d050-4cc4-9cbe-99eedfc206e2.json b/data/hfopenllm_v2/jaspionjader/bh-31/ea13ae62-d050-4cc4-9cbe-99eedfc206e2.json
new file mode 100644
index 000000000..da3e5651c
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/bh-31/ea13ae62-d050-4cc4-9cbe-99eedfc206e2.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_bh-31/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "bh-31",
+    "id": "jaspionjader/bh-31",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4727
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5665
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1284
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2936
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4104
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.382
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/bh-32/1e697620-36a7-459c-b88c-405febb57c3a.json b/data/hfopenllm_v2/jaspionjader/bh-32/1e697620-36a7-459c-b88c-405febb57c3a.json
new file mode 100644
index 000000000..ab338397a
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/bh-32/1e697620-36a7-459c-b88c-405febb57c3a.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_bh-32/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "bh-32",
+    "id": "jaspionjader/bh-32",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4636
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5662
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1246
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.297
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4157
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3812
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/bh-32/a56c62cc-c318-4de4-b6c7-0fa10229a127.json b/data/hfopenllm_v2/jaspionjader/bh-32/a56c62cc-c318-4de4-b6c7-0fa10229a127.json
deleted file mode 100644
index 20159a56e..000000000
--- a/data/hfopenllm_v2/jaspionjader/bh-32/a56c62cc-c318-4de4-b6c7-0fa10229a127.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_bh-32/1762652580.253373",
-  "retrieved_timestamp": "1762652580.2533739",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/bh-32",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/bh-32",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4635943740386619
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5662056335064284
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.12462235649546828
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.29697986577181207
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4157291666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3812333776595745
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/bh-33/532723e8-a9b7-4f72-a015-c2bd9363b5d8.json b/data/hfopenllm_v2/jaspionjader/bh-33/532723e8-a9b7-4f72-a015-c2bd9363b5d8.json
new file mode 100644
index 000000000..cb0a494fb
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/bh-33/532723e8-a9b7-4f72-a015-c2bd9363b5d8.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_bh-33/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "bh-33",
+    "id": "jaspionjader/bh-33",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4685
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5653
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1178
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2961
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4157
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3808
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/bh-33/bcab8546-ea69-4207-b69b-ab982b603e55.json b/data/hfopenllm_v2/jaspionjader/bh-33/bcab8546-ea69-4207-b69b-ab982b603e55.json
deleted file mode 100644
index 645e7d069..000000000
--- a/data/hfopenllm_v2/jaspionjader/bh-33/bcab8546-ea69-4207-b69b-ab982b603e55.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_bh-33/1762652580.25359",
-  "retrieved_timestamp": "1762652580.253591",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/bh-33",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/bh-33",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4685401401614383
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5652966799156172
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11782477341389729
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2961409395973154
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4156979166666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.38081781914893614
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/bh-34/6097086b-8c8b-493e-af1a-71146a2ed566.json b/data/hfopenllm_v2/jaspionjader/bh-34/6097086b-8c8b-493e-af1a-71146a2ed566.json
deleted file mode 100644
index 4185aa3b1..000000000
--- a/data/hfopenllm_v2/jaspionjader/bh-34/6097086b-8c8b-493e-af1a-71146a2ed566.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_bh-34/1762652580.253809",
-  "retrieved_timestamp": "1762652580.25381",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/bh-34",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/bh-34",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4623953332712758
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-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5681235912530039
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-    {
-      "evaluation_name": "GPQA",
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-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
-        "score": 0.29194630872483224
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4184583333333333
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.38040226063829785
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/bh-34/be096a57-7d81-4999-919a-ed8a243012b2.json b/data/hfopenllm_v2/jaspionjader/bh-34/be096a57-7d81-4999-919a-ed8a243012b2.json
new file mode 100644
index 000000000..e3c52f212
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/bh-34/be096a57-7d81-4999-919a-ed8a243012b2.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_bh-34/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "bh-34",
+    "id": "jaspionjader/bh-34",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4624
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5681
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1208
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2919
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4185
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3804
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/bh-35/7166192e-42b0-4990-8218-88bb38fd1bdb.json b/data/hfopenllm_v2/jaspionjader/bh-35/7166192e-42b0-4990-8218-88bb38fd1bdb.json
deleted file mode 100644
index 3c8ea1800..000000000
--- a/data/hfopenllm_v2/jaspionjader/bh-35/7166192e-42b0-4990-8218-88bb38fd1bdb.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_bh-35/1762652580.2540212",
-  "retrieved_timestamp": "1762652580.254022",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/bh-35",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/bh-35",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.47213726246359655
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5639648300586834
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.12462235649546828
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2953020134228188
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41830208333333335
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3829787234042553
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/bh-35/cadeb016-e158-4a49-921c-efe0e4eb0cb2.json b/data/hfopenllm_v2/jaspionjader/bh-35/cadeb016-e158-4a49-921c-efe0e4eb0cb2.json
new file mode 100644
index 000000000..3cf6f3543
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/bh-35/cadeb016-e158-4a49-921c-efe0e4eb0cb2.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_bh-35/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "bh-35",
+    "id": "jaspionjader/bh-35",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4721
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.564
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1246
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2953
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4183
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.383
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/bh-36/3a4f8c97-9f30-44b8-8f79-7f19f90a08d1.json b/data/hfopenllm_v2/jaspionjader/bh-36/3a4f8c97-9f30-44b8-8f79-7f19f90a08d1.json
deleted file mode 100644
index da0f0f8f3..000000000
--- a/data/hfopenllm_v2/jaspionjader/bh-36/3a4f8c97-9f30-44b8-8f79-7f19f90a08d1.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_bh-36/1762652580.2542279",
-  "retrieved_timestamp": "1762652580.254229",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/bh-36",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/bh-36",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4665919759571271
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5664445599052024
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.12386706948640483
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30201342281879195
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4196354166666667
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.383061835106383
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/bh-36/c606d7b9-3ea3-49d4-9ecc-9610ed4b4eac.json b/data/hfopenllm_v2/jaspionjader/bh-36/c606d7b9-3ea3-49d4-9ecc-9610ed4b4eac.json
new file mode 100644
index 000000000..c44481774
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/bh-36/c606d7b9-3ea3-49d4-9ecc-9610ed4b4eac.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_bh-36/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "bh-36",
+    "id": "jaspionjader/bh-36",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4666
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5664
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1239
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.302
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4196
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3831
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/bh-37/04a5eed3-7eea-4d9f-acc6-5a96ec987e2b.json b/data/hfopenllm_v2/jaspionjader/bh-37/04a5eed3-7eea-4d9f-acc6-5a96ec987e2b.json
new file mode 100644
index 000000000..00efc0c32
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/bh-37/04a5eed3-7eea-4d9f-acc6-5a96ec987e2b.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_bh-37/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "bh-37",
+    "id": "jaspionjader/bh-37",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.488
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5625
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1216
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2945
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4156
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3828
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/bh-37/19490f78-486d-4325-b31e-af8555c32ea9.json b/data/hfopenllm_v2/jaspionjader/bh-37/19490f78-486d-4325-b31e-af8555c32ea9.json
deleted file mode 100644
index a53a80e6e..000000000
--- a/data/hfopenllm_v2/jaspionjader/bh-37/19490f78-486d-4325-b31e-af8555c32ea9.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_bh-37/1762652580.2544441",
-  "retrieved_timestamp": "1762652580.254445",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/bh-37",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/bh-37",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.48797413086166924
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.562488460737535
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1216012084592145
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.29446308724832215
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4156354166666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3828125
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/bh-38/61e7c49e-abb9-4e38-ba3f-1018db104d83.json b/data/hfopenllm_v2/jaspionjader/bh-38/61e7c49e-abb9-4e38-ba3f-1018db104d83.json
deleted file mode 100644
index f9cbdd06c..000000000
--- a/data/hfopenllm_v2/jaspionjader/bh-38/61e7c49e-abb9-4e38-ba3f-1018db104d83.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_bh-38/1762652580.2548852",
-  "retrieved_timestamp": "1762652580.2548869",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/bh-38",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/bh-38",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.46179581288758276
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5658176339168742
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.12386706948640483
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2978187919463087
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4117291666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3810671542553192
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/bh-38/a1c60d74-dabe-423d-9e40-3dd8112d7d8e.json b/data/hfopenllm_v2/jaspionjader/bh-38/a1c60d74-dabe-423d-9e40-3dd8112d7d8e.json
new file mode 100644
index 000000000..8a76bd6cd
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/bh-38/a1c60d74-dabe-423d-9e40-3dd8112d7d8e.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_bh-38/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "bh-38",
+    "id": "jaspionjader/bh-38",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4618
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5658
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1239
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2978
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4117
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3811
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/bh-39/243e6b7b-a34f-44cd-b027-176f877ff8e7.json b/data/hfopenllm_v2/jaspionjader/bh-39/243e6b7b-a34f-44cd-b027-176f877ff8e7.json
deleted file mode 100644
index 84af5c76f..000000000
--- a/data/hfopenllm_v2/jaspionjader/bh-39/243e6b7b-a34f-44cd-b027-176f877ff8e7.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_bh-39/1762652580.2552152",
-  "retrieved_timestamp": "1762652580.2552161",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/bh-39",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/bh-39",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.45759917020173135
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5633012248625926
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.12537764350453173
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30033557046979864
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4262395833333334
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.38314494680851063
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/bh-39/29c7bc9b-6833-497b-a553-2941026efea5.json b/data/hfopenllm_v2/jaspionjader/bh-39/29c7bc9b-6833-497b-a553-2941026efea5.json
new file mode 100644
index 000000000..8f546e7ae
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/bh-39/29c7bc9b-6833-497b-a553-2941026efea5.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_bh-39/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "bh-39",
+    "id": "jaspionjader/bh-39",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4576
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5633
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1254
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3003
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4262
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3831
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/bh-4/09a60955-978e-4136-bdde-d5459e37ad2c.json b/data/hfopenllm_v2/jaspionjader/bh-4/09a60955-978e-4136-bdde-d5459e37ad2c.json
new file mode 100644
index 000000000..76f667723
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/bh-4/09a60955-978e-4136-bdde-d5459e37ad2c.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_bh-4/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "bh-4",
+    "id": "jaspionjader/bh-4",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4673
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5892
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1095
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2961
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4173
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3705
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/bh-4/85ba493b-05f1-4853-a0ff-44570a7c2a82.json b/data/hfopenllm_v2/jaspionjader/bh-4/85ba493b-05f1-4853-a0ff-44570a7c2a82.json
deleted file mode 100644
index 3c4c952af..000000000
--- a/data/hfopenllm_v2/jaspionjader/bh-4/85ba493b-05f1-4853-a0ff-44570a7c2a82.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_bh-4/1762652580.2554429",
-  "retrieved_timestamp": "1762652580.255444",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/bh-4",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/bh-4",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4672912317096415
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5892000111391051
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1095166163141994
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2961409395973154
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41728125
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3705119680851064
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/bh-40/501744a2-070a-4378-9232-f7ccd9b2a67e.json b/data/hfopenllm_v2/jaspionjader/bh-40/501744a2-070a-4378-9232-f7ccd9b2a67e.json
new file mode 100644
index 000000000..e827aaca1
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/bh-40/501744a2-070a-4378-9232-f7ccd9b2a67e.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_bh-40/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "bh-40",
+    "id": "jaspionjader/bh-40",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4536
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5634
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1246
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2987
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4236
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3835
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/bh-40/56837896-11a6-458b-a17e-9540ab5ae66a.json b/data/hfopenllm_v2/jaspionjader/bh-40/56837896-11a6-458b-a17e-9540ab5ae66a.json
deleted file mode 100644
index dbd7332d7..000000000
--- a/data/hfopenllm_v2/jaspionjader/bh-40/56837896-11a6-458b-a17e-9540ab5ae66a.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_bh-40/1762652580.2556531",
-  "retrieved_timestamp": "1762652580.2556539",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/bh-40",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/bh-40",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.45357761849669986
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5633956317971519
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.12462235649546828
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2986577181208054
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4236041666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.38347739361702127
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/bh-41/369efdc6-6529-477c-b5f0-d229c8102491.json b/data/hfopenllm_v2/jaspionjader/bh-41/369efdc6-6529-477c-b5f0-d229c8102491.json
new file mode 100644
index 000000000..559005960
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/bh-41/369efdc6-6529-477c-b5f0-d229c8102491.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_bh-41/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "bh-41",
+    "id": "jaspionjader/bh-41",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.474
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5614
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1254
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2928
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4183
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3825
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/bh-41/db0c4182-7391-40e7-ad6e-5374c8eb28e1.json b/data/hfopenllm_v2/jaspionjader/bh-41/db0c4182-7391-40e7-ad6e-5374c8eb28e1.json
deleted file mode 100644
index 88a67d2bc..000000000
--- a/data/hfopenllm_v2/jaspionjader/bh-41/db0c4182-7391-40e7-ad6e-5374c8eb28e1.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_bh-41/1762652580.2558541",
-  "retrieved_timestamp": "1762652580.2558541",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/bh-41",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/bh-41",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4739856912990864
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.56138466485423
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.12537764350453173
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.29278523489932884
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41827083333333337
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.38248005319148937
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/bh-42/265e3cbb-484f-4cf7-8994-050f414ecf37.json b/data/hfopenllm_v2/jaspionjader/bh-42/265e3cbb-484f-4cf7-8994-050f414ecf37.json
deleted file mode 100644
index 9823d1fca..000000000
--- a/data/hfopenllm_v2/jaspionjader/bh-42/265e3cbb-484f-4cf7-8994-050f414ecf37.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_bh-42/1762652580.25606",
-  "retrieved_timestamp": "1762652580.2560608",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/bh-42",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/bh-42",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4660423232578447
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5645607204696422
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1268882175226586
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2961409395973154
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42100000000000004
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3812333776595745
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/bh-42/906645f3-2041-4380-8118-ac26b92297ba.json b/data/hfopenllm_v2/jaspionjader/bh-42/906645f3-2041-4380-8118-ac26b92297ba.json
new file mode 100644
index 000000000..8e371ce85
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/bh-42/906645f3-2041-4380-8118-ac26b92297ba.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_bh-42/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "bh-42",
+    "id": "jaspionjader/bh-42",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.466
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5646
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1269
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2961
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.421
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3812
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/bh-43/472b725a-2bd5-440a-9768-ba8db6fe6b34.json b/data/hfopenllm_v2/jaspionjader/bh-43/472b725a-2bd5-440a-9768-ba8db6fe6b34.json
deleted file mode 100644
index e4553e8ca..000000000
--- a/data/hfopenllm_v2/jaspionjader/bh-43/472b725a-2bd5-440a-9768-ba8db6fe6b34.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_bh-43/1762652580.2562718",
-  "retrieved_timestamp": "1762652580.2562718",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/bh-43",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/bh-43",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.45999725173650363
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5635240412618795
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.12386706948640483
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.29446308724832215
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4156041666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3819813829787234
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/bh-43/57fe8deb-02dc-43a8-8a92-14bdaf61dd67.json b/data/hfopenllm_v2/jaspionjader/bh-43/57fe8deb-02dc-43a8-8a92-14bdaf61dd67.json
new file mode 100644
index 000000000..2479e939a
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/bh-43/57fe8deb-02dc-43a8-8a92-14bdaf61dd67.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_bh-43/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "bh-43",
+    "id": "jaspionjader/bh-43",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.46
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5635
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1239
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2945
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4156
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.382
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/bh-44/60c18178-ff40-4e9d-9683-077cc2fa254e.json b/data/hfopenllm_v2/jaspionjader/bh-44/60c18178-ff40-4e9d-9683-077cc2fa254e.json
deleted file mode 100644
index 49ce2c817..000000000
--- a/data/hfopenllm_v2/jaspionjader/bh-44/60c18178-ff40-4e9d-9683-077cc2fa254e.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_bh-44/1762652580.2565289",
-  "retrieved_timestamp": "1762652580.2565298",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/bh-44",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/bh-44",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4706135276621586
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5642775941837409
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1216012084592145
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2961409395973154
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42487500000000006
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3833942819148936
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/bh-44/95f2fa22-3da9-4876-ace3-50763f2b2453.json b/data/hfopenllm_v2/jaspionjader/bh-44/95f2fa22-3da9-4876-ace3-50763f2b2453.json
new file mode 100644
index 000000000..e04123e5c
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/bh-44/95f2fa22-3da9-4876-ace3-50763f2b2453.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_bh-44/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "bh-44",
+    "id": "jaspionjader/bh-44",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4706
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5643
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1216
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2961
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4249
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3834
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/bh-46/6b3c3872-cd4d-4827-8651-6baa9d2423e7.json b/data/hfopenllm_v2/jaspionjader/bh-46/6b3c3872-cd4d-4827-8651-6baa9d2423e7.json
deleted file mode 100644
index 924082e77..000000000
--- a/data/hfopenllm_v2/jaspionjader/bh-46/6b3c3872-cd4d-4827-8651-6baa9d2423e7.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_bh-46/1762652580.2567308",
-  "retrieved_timestamp": "1762652580.256732",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/bh-46",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/bh-46",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4727367828472896
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5631697539272891
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.12764350453172205
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2961409395973154
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4262395833333334
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3822307180851064
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/bh-46/b2f9e38f-c2a1-4e5f-a7ce-4e33a05b503b.json b/data/hfopenllm_v2/jaspionjader/bh-46/b2f9e38f-c2a1-4e5f-a7ce-4e33a05b503b.json
new file mode 100644
index 000000000..b0fd30662
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/bh-46/b2f9e38f-c2a1-4e5f-a7ce-4e33a05b503b.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_bh-46/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "bh-46",
+    "id": "jaspionjader/bh-46",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4727
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5632
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1276
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2961
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4262
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3822
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/bh-47/9f30c4d4-4a3c-459e-8444-e143ef75f84e.json b/data/hfopenllm_v2/jaspionjader/bh-47/9f30c4d4-4a3c-459e-8444-e143ef75f84e.json
deleted file mode 100644
index 21ce79fa6..000000000
--- a/data/hfopenllm_v2/jaspionjader/bh-47/9f30c4d4-4a3c-459e-8444-e143ef75f84e.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_bh-47/1762652580.256935",
-  "retrieved_timestamp": "1762652580.2569358",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/bh-47",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/bh-47",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.46516797652451053
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5545716016743777
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.12764350453172205
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.29446308724832215
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4156041666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3854720744680851
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/bh-47/b3173a2a-8309-498d-961b-0167d5d5dea6.json b/data/hfopenllm_v2/jaspionjader/bh-47/b3173a2a-8309-498d-961b-0167d5d5dea6.json
new file mode 100644
index 000000000..12bf1bc95
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/bh-47/b3173a2a-8309-498d-961b-0167d5d5dea6.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_bh-47/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "bh-47",
+    "id": "jaspionjader/bh-47",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4652
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5546
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1276
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2945
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4156
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3855
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/bh-48/0d59dd75-c999-4a7e-919a-fd084202fc9c.json b/data/hfopenllm_v2/jaspionjader/bh-48/0d59dd75-c999-4a7e-919a-fd084202fc9c.json
new file mode 100644
index 000000000..0b617599c
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/bh-48/0d59dd75-c999-4a7e-919a-fd084202fc9c.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_bh-48/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "bh-48",
+    "id": "jaspionjader/bh-48",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4688
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5541
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1254
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2945
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4209
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.386
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/bh-48/80bbd567-b13e-4ed4-ba85-9098639a3642.json b/data/hfopenllm_v2/jaspionjader/bh-48/80bbd567-b13e-4ed4-ba85-9098639a3642.json
deleted file mode 100644
index 47f4212c1..000000000
--- a/data/hfopenllm_v2/jaspionjader/bh-48/80bbd567-b13e-4ed4-ba85-9098639a3642.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_bh-48/1762652580.257132",
-  "retrieved_timestamp": "1762652580.257133",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/bh-48",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/bh-48",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.46881496651107946
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5541308128775738
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.12537764350453173
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.29446308724832215
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4209375
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3859707446808511
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/bh-49/639e91d9-ebbf-4ba2-bce3-6953e7c91e32.json b/data/hfopenllm_v2/jaspionjader/bh-49/639e91d9-ebbf-4ba2-bce3-6953e7c91e32.json
new file mode 100644
index 000000000..be5e9a125
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/bh-49/639e91d9-ebbf-4ba2-bce3-6953e7c91e32.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_bh-49/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "bh-49",
+    "id": "jaspionjader/bh-49",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4725
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.554
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1201
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2945
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4129
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3808
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/bh-49/e574e35a-56cb-471d-b4f1-df0858f5ce66.json b/data/hfopenllm_v2/jaspionjader/bh-49/e574e35a-56cb-471d-b4f1-df0858f5ce66.json
deleted file mode 100644
index 2219021af..000000000
--- a/data/hfopenllm_v2/jaspionjader/bh-49/e574e35a-56cb-471d-b4f1-df0858f5ce66.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_bh-49/1762652580.257362",
-  "retrieved_timestamp": "1762652580.257366",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/bh-49",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/bh-49",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.47246195649764844
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5540285004706683
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.12009063444108761
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.29446308724832215
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41290625000000003
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.38081781914893614
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/bh-5/56a5fb9b-a4b7-4290-9ec9-6864b3efaa82.json b/data/hfopenllm_v2/jaspionjader/bh-5/56a5fb9b-a4b7-4290-9ec9-6864b3efaa82.json
new file mode 100644
index 000000000..f712b9f05
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/bh-5/56a5fb9b-a4b7-4290-9ec9-6864b3efaa82.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_bh-5/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "bh-5",
+    "id": "jaspionjader/bh-5",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4652
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5882
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1057
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2995
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4186
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3702
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/bh-5/ec314c97-9bc0-4e14-9d57-d6204e699428.json b/data/hfopenllm_v2/jaspionjader/bh-5/ec314c97-9bc0-4e14-9d57-d6204e699428.json
deleted file mode 100644
index 4a5c55eda..000000000
--- a/data/hfopenllm_v2/jaspionjader/bh-5/ec314c97-9bc0-4e14-9d57-d6204e699428.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_bh-5/1762652580.2577002",
-  "retrieved_timestamp": "1762652580.2577012",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/bh-5",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/bh-5",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.46516797652451053
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5881569099353959
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.10574018126888217
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.29949664429530204
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4186145833333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37017952127659576
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/bh-50/980887dd-2948-4e5f-b22c-3cc03057f493.json b/data/hfopenllm_v2/jaspionjader/bh-50/980887dd-2948-4e5f-b22c-3cc03057f493.json
deleted file mode 100644
index 40e545815..000000000
--- a/data/hfopenllm_v2/jaspionjader/bh-50/980887dd-2948-4e5f-b22c-3cc03057f493.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_bh-50/1762652580.257925",
-  "retrieved_timestamp": "1762652580.257926",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/bh-50",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/bh-50",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.47246195649764844
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.555294802866646
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.12084592145015106
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2936241610738255
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41687500000000005
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3842253989361702
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/bh-50/d03fb481-be0b-4dfb-bb4d-54067e058e99.json b/data/hfopenllm_v2/jaspionjader/bh-50/d03fb481-be0b-4dfb-bb4d-54067e058e99.json
new file mode 100644
index 000000000..fab8832f6
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/bh-50/d03fb481-be0b-4dfb-bb4d-54067e058e99.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_bh-50/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "bh-50",
+    "id": "jaspionjader/bh-50",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4725
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5553
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1208
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2936
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4169
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3842
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/bh-51/6d544c96-53c9-43d1-9cb1-6077d7235fff.json b/data/hfopenllm_v2/jaspionjader/bh-51/6d544c96-53c9-43d1-9cb1-6077d7235fff.json
deleted file mode 100644
index 9934c1eaf..000000000
--- a/data/hfopenllm_v2/jaspionjader/bh-51/6d544c96-53c9-43d1-9cb1-6077d7235fff.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_bh-51/1762652580.2581341",
-  "retrieved_timestamp": "1762652580.258135",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/bh-51",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/bh-51",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4630447213393795
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5557101784534039
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.12386706948640483
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.29278523489932884
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41681250000000003
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.38314494680851063
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/bh-51/d8fc3475-83e9-4790-a472-72b442087562.json b/data/hfopenllm_v2/jaspionjader/bh-51/d8fc3475-83e9-4790-a472-72b442087562.json
new file mode 100644
index 000000000..82a672fc1
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/bh-51/d8fc3475-83e9-4790-a472-72b442087562.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_bh-51/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "bh-51",
+    "id": "jaspionjader/bh-51",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.463
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5557
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1239
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2928
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4168
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3831
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/bh-52/57efd335-4873-4e01-bfc3-0d704b3d482a.json b/data/hfopenllm_v2/jaspionjader/bh-52/57efd335-4873-4e01-bfc3-0d704b3d482a.json
new file mode 100644
index 000000000..5d9a2c2b6
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/bh-52/57efd335-4873-4e01-bfc3-0d704b3d482a.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_bh-52/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "bh-52",
+    "id": "jaspionjader/bh-52",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4536
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5444
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1201
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2919
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4169
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3843
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/bh-52/fd3c9666-09bf-4562-b49d-eea905469761.json b/data/hfopenllm_v2/jaspionjader/bh-52/fd3c9666-09bf-4562-b49d-eea905469761.json
deleted file mode 100644
index 33dd91d26..000000000
--- a/data/hfopenllm_v2/jaspionjader/bh-52/fd3c9666-09bf-4562-b49d-eea905469761.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_bh-52/1762652580.258348",
-  "retrieved_timestamp": "1762652580.258349",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/bh-52",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/bh-52",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.45362748618111054
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.544409095161705
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.12009063444108761
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.29194630872483224
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41690625000000003
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.38430851063829785
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/bh-53/25fdcc8a-0e7d-4148-8508-2631ea6deb05.json b/data/hfopenllm_v2/jaspionjader/bh-53/25fdcc8a-0e7d-4148-8508-2631ea6deb05.json
new file mode 100644
index 000000000..c656925be
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/bh-53/25fdcc8a-0e7d-4148-8508-2631ea6deb05.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_bh-53/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "bh-53",
+    "id": "jaspionjader/bh-53",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.478
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5494
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1269
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2987
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4196
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3858
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/bh-53/978d4a27-17c7-4f87-b3e5-27b00ffa4d80.json b/data/hfopenllm_v2/jaspionjader/bh-53/978d4a27-17c7-4f87-b3e5-27b00ffa4d80.json
deleted file mode 100644
index f15554275..000000000
--- a/data/hfopenllm_v2/jaspionjader/bh-53/978d4a27-17c7-4f87-b3e5-27b00ffa4d80.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_bh-53/1762652580.25855",
-  "retrieved_timestamp": "1762652580.2585511",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/bh-53",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/bh-53",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4779573753197073
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5494367702137035
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1268882175226586
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.29865771812080544
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4196041666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.38580452127659576
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/bh-54/9a2d7235-84cf-43f6-8855-68d0bf85e6e3.json b/data/hfopenllm_v2/jaspionjader/bh-54/9a2d7235-84cf-43f6-8855-68d0bf85e6e3.json
deleted file mode 100644
index 34a7c12b3..000000000
--- a/data/hfopenllm_v2/jaspionjader/bh-54/9a2d7235-84cf-43f6-8855-68d0bf85e6e3.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_bh-54/1762652580.258788",
-  "retrieved_timestamp": "1762652580.258792",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/bh-54",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/bh-54",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.48405231452545916
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-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5547738488653888
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
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-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
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-        "score_type": "continuous",
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-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
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-      "score_details": {
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-    }
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-}
diff --git a/data/hfopenllm_v2/jaspionjader/bh-54/f5f63d06-7e51-4b91-8814-ecbda604fe6b.json b/data/hfopenllm_v2/jaspionjader/bh-54/f5f63d06-7e51-4b91-8814-ecbda604fe6b.json
new file mode 100644
index 000000000..b9fb7dee3
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/bh-54/f5f63d06-7e51-4b91-8814-ecbda604fe6b.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_bh-54/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "bh-54",
+    "id": "jaspionjader/bh-54",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4841
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5548
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1292
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2945
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4155
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3825
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/bh-55/5326c33b-6b8a-472a-9058-a9e9fe83b599.json b/data/hfopenllm_v2/jaspionjader/bh-55/5326c33b-6b8a-472a-9058-a9e9fe83b599.json
new file mode 100644
index 000000000..f9f52d25d
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/bh-55/5326c33b-6b8a-472a-9058-a9e9fe83b599.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_bh-55/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "bh-55",
+    "id": "jaspionjader/bh-55",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4709
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.555
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1284
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3062
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4222
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3846
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/bh-55/7c388cc5-fb2f-48ba-967c-a931fcb25a42.json b/data/hfopenllm_v2/jaspionjader/bh-55/7c388cc5-fb2f-48ba-967c-a931fcb25a42.json
deleted file mode 100644
index 11aa42c62..000000000
--- a/data/hfopenllm_v2/jaspionjader/bh-55/7c388cc5-fb2f-48ba-967c-a931fcb25a42.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_bh-55/1762652580.259115",
-  "retrieved_timestamp": "1762652580.259116",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/bh-55",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/bh-55",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.47093822169621047
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5549641462109072
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1283987915407855
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3062080536912752
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42220833333333335
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3846409574468085
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/bh-56/28674053-e1b6-4f0a-a90e-5dd5082ec164.json b/data/hfopenllm_v2/jaspionjader/bh-56/28674053-e1b6-4f0a-a90e-5dd5082ec164.json
new file mode 100644
index 000000000..4876a15a1
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/bh-56/28674053-e1b6-4f0a-a90e-5dd5082ec164.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_bh-56/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "bh-56",
+    "id": "jaspionjader/bh-56",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.46
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5447
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1231
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3003
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4116
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3844
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/bh-56/348c8f2b-807f-464b-832e-0049f8329b86.json b/data/hfopenllm_v2/jaspionjader/bh-56/348c8f2b-807f-464b-832e-0049f8329b86.json
deleted file mode 100644
index 386a8242e..000000000
--- a/data/hfopenllm_v2/jaspionjader/bh-56/348c8f2b-807f-464b-832e-0049f8329b86.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_bh-56/1762652580.2593641",
-  "retrieved_timestamp": "1762652580.259365",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/bh-56",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/bh-56",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.45999725173650363
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5446903231355648
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.12311178247734139
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
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-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30033557046979864
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4116041666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3843916223404255
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/bh-57/fab7388c-87ed-4108-ba4d-e1621925f264.json b/data/hfopenllm_v2/jaspionjader/bh-57/fab7388c-87ed-4108-ba4d-e1621925f264.json
deleted file mode 100644
index 235faa278..000000000
--- a/data/hfopenllm_v2/jaspionjader/bh-57/fab7388c-87ed-4108-ba4d-e1621925f264.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_bh-57/1762652580.259624",
-  "retrieved_timestamp": "1762652580.259625",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/bh-57",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/bh-57",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.44051339335186196
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
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-        "score_type": "continuous",
-        "min_score": 0,
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-      "score_details": {
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-    {
-      "evaluation_name": "MUSR",
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-        "evaluation_description": "Accuracy on MUSR",
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-      "metric_config": {
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-        "lower_is_better": false,
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diff --git a/data/hfopenllm_v2/jaspionjader/bh-57/fd27bfa7-11b3-46d3-915c-373ddf5a9865.json b/data/hfopenllm_v2/jaspionjader/bh-57/fd27bfa7-11b3-46d3-915c-373ddf5a9865.json
new file mode 100644
index 000000000..f2fb7ade4
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/bh-57/fd27bfa7-11b3-46d3-915c-373ddf5a9865.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_bh-57/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "bh-57",
+    "id": "jaspionjader/bh-57",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4405
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5425
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1261
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3037
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.421
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3896
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/bh-58/91f190ba-39c8-47af-8351-73d1f382dd99.json b/data/hfopenllm_v2/jaspionjader/bh-58/91f190ba-39c8-47af-8351-73d1f382dd99.json
new file mode 100644
index 000000000..3b78d4b75
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/bh-58/91f190ba-39c8-47af-8351-73d1f382dd99.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_bh-58/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "bh-58",
+    "id": "jaspionjader/bh-58",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.463
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5446
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1322
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3062
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4183
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3896
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/bh-58/a9c1b649-8850-43d1-b5db-feefd0b8d0b4.json b/data/hfopenllm_v2/jaspionjader/bh-58/a9c1b649-8850-43d1-b5db-feefd0b8d0b4.json
deleted file mode 100644
index 58141bfff..000000000
--- a/data/hfopenllm_v2/jaspionjader/bh-58/a9c1b649-8850-43d1-b5db-feefd0b8d0b4.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_bh-58/1762652580.259867",
-  "retrieved_timestamp": "1762652580.259868",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/bh-58",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/bh-58",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4630447213393795
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5446322106157867
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
-        "score": 0.13217522658610273
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-    },
-    {
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-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3062080536912752
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4183333333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3896276595744681
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/bh-59/974b1542-8716-4ea3-b097-f9893c9c9656.json b/data/hfopenllm_v2/jaspionjader/bh-59/974b1542-8716-4ea3-b097-f9893c9c9656.json
deleted file mode 100644
index 551babc66..000000000
--- a/data/hfopenllm_v2/jaspionjader/bh-59/974b1542-8716-4ea3-b097-f9893c9c9656.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_bh-59/1762652580.260088",
-  "retrieved_timestamp": "1762652580.2600892",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/bh-59",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/bh-59",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5511531646170439
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1540785498489426
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.31543624161073824
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41700000000000004
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3838098404255319
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/bh-59/b637b55c-dd05-4060-bf33-e63e9de7fac9.json b/data/hfopenllm_v2/jaspionjader/bh-59/b637b55c-dd05-4060-bf33-e63e9de7fac9.json
new file mode 100644
index 000000000..40582b054
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/bh-59/b637b55c-dd05-4060-bf33-e63e9de7fac9.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_bh-59/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "bh-59",
+    "id": "jaspionjader/bh-59",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4341
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5512
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1541
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3154
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.417
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3838
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/bh-6/bcacef79-d7c0-46e7-9194-43541c2f01fc.json b/data/hfopenllm_v2/jaspionjader/bh-6/bcacef79-d7c0-46e7-9194-43541c2f01fc.json
new file mode 100644
index 000000000..66016308e
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/bh-6/bcacef79-d7c0-46e7-9194-43541c2f01fc.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_bh-6/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "bh-6",
+    "id": "jaspionjader/bh-6",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4621
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5891
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1088
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2995
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4199
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3698
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/bh-6/e8dfd77c-e2c8-42ef-b341-5476411d038d.json b/data/hfopenllm_v2/jaspionjader/bh-6/e8dfd77c-e2c8-42ef-b341-5476411d038d.json
deleted file mode 100644
index d57c4e728..000000000
--- a/data/hfopenllm_v2/jaspionjader/bh-6/e8dfd77c-e2c8-42ef-b341-5476411d038d.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_bh-6/1762652580.260308",
-  "retrieved_timestamp": "1762652580.260309",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/bh-6",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/bh-6",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4620706392372239
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5890658635262072
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.10876132930513595
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.29949664429530204
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41991666666666666
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.36976396276595747
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/bh-60/16d14b95-fe8b-4e1f-94e1-65d966ba24d6.json b/data/hfopenllm_v2/jaspionjader/bh-60/16d14b95-fe8b-4e1f-94e1-65d966ba24d6.json
deleted file mode 100644
index d3d543ca6..000000000
--- a/data/hfopenllm_v2/jaspionjader/bh-60/16d14b95-fe8b-4e1f-94e1-65d966ba24d6.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_bh-60/1762652580.2605288",
-  "retrieved_timestamp": "1762652580.2605288",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/bh-60",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/bh-60",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42070484093316846
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5368509826419269
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1578549848942598
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.32550335570469796
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42890625
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3689328457446808
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/bh-60/77a358c7-59fa-4b22-a190-dfca86c5166b.json b/data/hfopenllm_v2/jaspionjader/bh-60/77a358c7-59fa-4b22-a190-dfca86c5166b.json
new file mode 100644
index 000000000..60b6bf47a
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/bh-60/77a358c7-59fa-4b22-a190-dfca86c5166b.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_bh-60/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "bh-60",
+    "id": "jaspionjader/bh-60",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4207
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5369
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1579
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3255
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4289
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3689
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/bh-61/00b1b367-c4eb-4048-b80d-a8253e7c2048.json b/data/hfopenllm_v2/jaspionjader/bh-61/00b1b367-c4eb-4048-b80d-a8253e7c2048.json
deleted file mode 100644
index d2765827c..000000000
--- a/data/hfopenllm_v2/jaspionjader/bh-61/00b1b367-c4eb-4048-b80d-a8253e7c2048.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_bh-61/1762652580.260743",
-  "retrieved_timestamp": "1762652580.260743",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/bh-61",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/bh-61",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42467652495378927
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5271029876122725
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.17069486404833836
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3187919463087248
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4355729166666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3679355053191489
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/bh-61/ad4c8922-7079-4383-8f42-d3de6326a1e1.json b/data/hfopenllm_v2/jaspionjader/bh-61/ad4c8922-7079-4383-8f42-d3de6326a1e1.json
new file mode 100644
index 000000000..1e6b5f4bd
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/bh-61/ad4c8922-7079-4383-8f42-d3de6326a1e1.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_bh-61/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "bh-61",
+    "id": "jaspionjader/bh-61",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4247
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5271
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1707
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3188
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4356
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3679
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/bh-62/7f89eded-e5fc-4b3b-9afd-dcd71b7b44d5.json b/data/hfopenllm_v2/jaspionjader/bh-62/7f89eded-e5fc-4b3b-9afd-dcd71b7b44d5.json
new file mode 100644
index 000000000..ba9efa108
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/bh-62/7f89eded-e5fc-4b3b-9afd-dcd71b7b44d5.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_bh-62/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "bh-62",
+    "id": "jaspionjader/bh-62",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.415
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5379
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1624
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3205
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4289
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3719
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/bh-62/85bd08bf-bdc3-42fb-b8f9-3d83e32921bc.json b/data/hfopenllm_v2/jaspionjader/bh-62/85bd08bf-bdc3-42fb-b8f9-3d83e32921bc.json
deleted file mode 100644
index 6c440cbfe..000000000
--- a/data/hfopenllm_v2/jaspionjader/bh-62/85bd08bf-bdc3-42fb-b8f9-3d83e32921bc.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_bh-62/1762652580.260948",
-  "retrieved_timestamp": "1762652580.260949",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/bh-62",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/bh-62",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41498446344587914
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5379352222621877
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1623867069486405
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.32046979865771813
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42890625
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3719248670212766
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/bh-63/07cb94ab-0aea-4ce2-89b0-4378cb892c7e.json b/data/hfopenllm_v2/jaspionjader/bh-63/07cb94ab-0aea-4ce2-89b0-4378cb892c7e.json
new file mode 100644
index 000000000..61c277886
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/bh-63/07cb94ab-0aea-4ce2-89b0-4378cb892c7e.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_bh-63/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "bh-63",
+    "id": "jaspionjader/bh-63",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4308
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4917
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.111
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3029
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4313
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3248
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/bh-63/c9df2e30-5e2d-42cc-8597-dc354602350a.json b/data/hfopenllm_v2/jaspionjader/bh-63/c9df2e30-5e2d-42cc-8597-dc354602350a.json
deleted file mode 100644
index 78334e918..000000000
--- a/data/hfopenllm_v2/jaspionjader/bh-63/c9df2e30-5e2d-42cc-8597-dc354602350a.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_bh-63/1762652580.261157",
-  "retrieved_timestamp": "1762652580.261157",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/bh-63",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/bh-63",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.43077146415954115
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.49171126396743653
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11102719033232629
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3028523489932886
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4312604166666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3248005319148936
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/bh-64/5fb04756-c7bb-4772-b209-0d9a300bbf7d.json b/data/hfopenllm_v2/jaspionjader/bh-64/5fb04756-c7bb-4772-b209-0d9a300bbf7d.json
new file mode 100644
index 000000000..4fa30fb6a
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/bh-64/5fb04756-c7bb-4772-b209-0d9a300bbf7d.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_bh-64/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "bh-64",
+    "id": "jaspionjader/bh-64",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.414
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.536
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1548
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3213
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4355
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3693
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/bh-64/90830134-43d5-4d0c-9a93-4be2c1c7dba8.json b/data/hfopenllm_v2/jaspionjader/bh-64/90830134-43d5-4d0c-9a93-4be2c1c7dba8.json
deleted file mode 100644
index 13309975d..000000000
--- a/data/hfopenllm_v2/jaspionjader/bh-64/90830134-43d5-4d0c-9a93-4be2c1c7dba8.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_bh-64/1762652580.261374",
-  "retrieved_timestamp": "1762652580.261375",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/bh-64",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/bh-64",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41401038134372353
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5359944334653838
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.15483383685800603
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3213087248322148
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4355416666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3692652925531915
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/bh-7/0c02d1b6-2d31-4c54-b881-588cbfb0c686.json b/data/hfopenllm_v2/jaspionjader/bh-7/0c02d1b6-2d31-4c54-b881-588cbfb0c686.json
new file mode 100644
index 000000000..898316818
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/bh-7/0c02d1b6-2d31-4c54-b881-588cbfb0c686.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_bh-7/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "bh-7",
+    "id": "jaspionjader/bh-7",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4624
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5861
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.114
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3037
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4119
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3715
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/bh-7/b63d1462-f84b-4d20-86d6-1a54cf4eb81f.json b/data/hfopenllm_v2/jaspionjader/bh-7/b63d1462-f84b-4d20-86d6-1a54cf4eb81f.json
deleted file mode 100644
index 2155806af..000000000
--- a/data/hfopenllm_v2/jaspionjader/bh-7/b63d1462-f84b-4d20-86d6-1a54cf4eb81f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_bh-7/1762652580.261788",
-  "retrieved_timestamp": "1762652580.261791",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/bh-7",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/bh-7",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4623953332712758
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5860594415302606
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11404833836858005
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3036912751677852
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41191666666666665
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3715093085106383
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/bh-8/a32e4d22-8096-4537-a68a-98ff9171ac8c.json b/data/hfopenllm_v2/jaspionjader/bh-8/a32e4d22-8096-4537-a68a-98ff9171ac8c.json
new file mode 100644
index 000000000..2f29f8cdb
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/bh-8/a32e4d22-8096-4537-a68a-98ff9171ac8c.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_bh-8/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "bh-8",
+    "id": "jaspionjader/bh-8",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4597
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.59
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1178
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3012
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4265
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.372
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/bh-8/f6dced28-f64c-4995-88b1-ac9a82903de2.json b/data/hfopenllm_v2/jaspionjader/bh-8/f6dced28-f64c-4995-88b1-ac9a82903de2.json
deleted file mode 100644
index 7843ef4f6..000000000
--- a/data/hfopenllm_v2/jaspionjader/bh-8/f6dced28-f64c-4995-88b1-ac9a82903de2.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_bh-8/1762652580.262149",
-  "retrieved_timestamp": "1762652580.262152",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/bh-8",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/bh-8",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.45967255770245175
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5899505025903907
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11782477341389729
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3011744966442953
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4265208333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37200797872340424
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/bh-9/4e45b666-fa7e-4a38-8b6b-65846876c8d9.json b/data/hfopenllm_v2/jaspionjader/bh-9/4e45b666-fa7e-4a38-8b6b-65846876c8d9.json
new file mode 100644
index 000000000..038a2b90e
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/bh-9/4e45b666-fa7e-4a38-8b6b-65846876c8d9.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_bh-9/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "bh-9",
+    "id": "jaspionjader/bh-9",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4509
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.585
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1156
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.302
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4146
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3703
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/bh-9/956d92e9-51fb-4770-8687-6003f9594345.json b/data/hfopenllm_v2/jaspionjader/bh-9/956d92e9-51fb-4770-8687-6003f9594345.json
deleted file mode 100644
index 361e5c45c..000000000
--- a/data/hfopenllm_v2/jaspionjader/bh-9/956d92e9-51fb-4770-8687-6003f9594345.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_bh-9/1762652580.262652",
-  "retrieved_timestamp": "1762652580.2626529",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/bh-9",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/bh-9",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4508548429278758
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5850048697918168
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11555891238670694
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30201342281879195
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4145833333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3702626329787234
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/dp-6-8b/5c61d4f5-25a0-4ffe-a9d2-2a33d8bbd717.json b/data/hfopenllm_v2/jaspionjader/dp-6-8b/5c61d4f5-25a0-4ffe-a9d2-2a33d8bbd717.json
deleted file mode 100644
index bdf9cbbe6..000000000
--- a/data/hfopenllm_v2/jaspionjader/dp-6-8b/5c61d4f5-25a0-4ffe-a9d2-2a33d8bbd717.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_dp-6-8b/1762652580.263117",
-  "retrieved_timestamp": "1762652580.2631192",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/dp-6-8b",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/dp-6-8b",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4805804155197099
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5299697041031141
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.13293051359516617
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30788590604026844
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.44338541666666664
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.38971077127659576
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/dp-6-8b/d9cb1d13-2af5-4385-aa78-5c053e00e6c6.json b/data/hfopenllm_v2/jaspionjader/dp-6-8b/d9cb1d13-2af5-4385-aa78-5c053e00e6c6.json
new file mode 100644
index 000000000..d490d1352
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/dp-6-8b/d9cb1d13-2af5-4385-aa78-5c053e00e6c6.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_dp-6-8b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "dp-6-8b",
+    "id": "jaspionjader/dp-6-8b",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4806
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.53
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1329
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3079
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4434
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3897
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/dp-7-8b/44d85302-1af8-48ef-aebe-a9512c5bc387.json b/data/hfopenllm_v2/jaspionjader/dp-7-8b/44d85302-1af8-48ef-aebe-a9512c5bc387.json
deleted file mode 100644
index 20df60aa7..000000000
--- a/data/hfopenllm_v2/jaspionjader/dp-7-8b/44d85302-1af8-48ef-aebe-a9512c5bc387.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_dp-7-8b/1762652580.2634509",
-  "retrieved_timestamp": "1762652580.2634518",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/dp-7-8b",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/dp-7-8b",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.44983089314130953
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5290850650389306
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.12613293051359517
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3062080536912752
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.44075
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3933676861702128
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-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/dp-7-8b/6afaec07-ebb8-4f3f-af48-c679f38f4917.json b/data/hfopenllm_v2/jaspionjader/dp-7-8b/6afaec07-ebb8-4f3f-af48-c679f38f4917.json
new file mode 100644
index 000000000..2aba7ace1
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/dp-7-8b/6afaec07-ebb8-4f3f-af48-c679f38f4917.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_dp-7-8b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "dp-7-8b",
+    "id": "jaspionjader/dp-7-8b",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4498
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5291
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1261
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3062
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4407
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3934
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/ek-6/a05ce252-928c-4482-95f7-f4c0fc2c7c10.json b/data/hfopenllm_v2/jaspionjader/ek-6/a05ce252-928c-4482-95f7-f4c0fc2c7c10.json
deleted file mode 100644
index ce046561a..000000000
--- a/data/hfopenllm_v2/jaspionjader/ek-6/a05ce252-928c-4482-95f7-f4c0fc2c7c10.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_ek-6/1762652580.2637498",
-  "retrieved_timestamp": "1762652580.263751",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/ek-6",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/ek-6",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4642437621067656
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5219292795769993
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.13217522658610273
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3087248322147651
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4143645833333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3861369680851064
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/ek-6/bf8370c9-baed-4034-ac38-c6f796baca15.json b/data/hfopenllm_v2/jaspionjader/ek-6/bf8370c9-baed-4034-ac38-c6f796baca15.json
new file mode 100644
index 000000000..3351de25f
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/ek-6/bf8370c9-baed-4034-ac38-c6f796baca15.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_ek-6/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "ek-6",
+    "id": "jaspionjader/ek-6",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4642
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5219
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1322
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3087
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4144
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3861
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/ek-7/23127691-ff90-433f-97d2-322e1191d821.json b/data/hfopenllm_v2/jaspionjader/ek-7/23127691-ff90-433f-97d2-322e1191d821.json
deleted file mode 100644
index 05e15cc6f..000000000
--- a/data/hfopenllm_v2/jaspionjader/ek-7/23127691-ff90-433f-97d2-322e1191d821.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_ek-7/1762652580.264135",
-  "retrieved_timestamp": "1762652580.2641358",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/ek-7",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/ek-7",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.47670846686791046
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5194098090521417
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.13293051359516617
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3162751677852349
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41706249999999995
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.38871343085106386
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/ek-7/d397c078-6fe3-44a8-859c-a0f7c551dc3a.json b/data/hfopenllm_v2/jaspionjader/ek-7/d397c078-6fe3-44a8-859c-a0f7c551dc3a.json
new file mode 100644
index 000000000..7e3d311e0
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/ek-7/d397c078-6fe3-44a8-859c-a0f7c551dc3a.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_ek-7/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "ek-7",
+    "id": "jaspionjader/ek-7",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4767
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5194
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1329
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3163
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4171
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3887
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/f-1-8b/91d65b2a-a96a-467b-9e5c-9efa28d7fd96.json b/data/hfopenllm_v2/jaspionjader/f-1-8b/91d65b2a-a96a-467b-9e5c-9efa28d7fd96.json
deleted file mode 100644
index 76c623ada..000000000
--- a/data/hfopenllm_v2/jaspionjader/f-1-8b/91d65b2a-a96a-467b-9e5c-9efa28d7fd96.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_f-1-8b/1762652580.264415",
-  "retrieved_timestamp": "1762652580.264416",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/f-1-8b",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/f-1-8b",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.49826571275327247
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5140825686172996
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1283987915407855
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3087248322147651
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.45268749999999996
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.39070811170212766
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/f-1-8b/ed61cd6a-bbf0-45f2-9536-a7a262d5d6fb.json b/data/hfopenllm_v2/jaspionjader/f-1-8b/ed61cd6a-bbf0-45f2-9536-a7a262d5d6fb.json
new file mode 100644
index 000000000..1d3bd64ed
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/f-1-8b/ed61cd6a-bbf0-45f2-9536-a7a262d5d6fb.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_f-1-8b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "f-1-8b",
+    "id": "jaspionjader/f-1-8b",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4983
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5141
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1284
+      }
+    },
+    {
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+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3087
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4527
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3907
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/f-2-8b/6be795f4-0784-44bf-8926-e3060ec37dcf.json b/data/hfopenllm_v2/jaspionjader/f-2-8b/6be795f4-0784-44bf-8926-e3060ec37dcf.json
new file mode 100644
index 000000000..cdc2207e8
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/f-2-8b/6be795f4-0784-44bf-8926-e3060ec37dcf.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_f-2-8b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "f-2-8b",
+    "id": "jaspionjader/f-2-8b",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4824
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5294
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1171
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2995
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4501
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3962
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/f-2-8b/c63fc798-cf74-4767-ba95-6353b6761bcc.json b/data/hfopenllm_v2/jaspionjader/f-2-8b/c63fc798-cf74-4767-ba95-6353b6761bcc.json
deleted file mode 100644
index fb319c709..000000000
--- a/data/hfopenllm_v2/jaspionjader/f-2-8b/c63fc798-cf74-4767-ba95-6353b6761bcc.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_f-2-8b/1762652580.264705",
-  "retrieved_timestamp": "1762652580.2647061",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/f-2-8b",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/f-2-8b",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.48237897667078905
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5294150378468933
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11706948640483383
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.29949664429530204
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4500520833333334
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.39619348404255317
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/f-3-8b/5ba1e4d3-29d4-4337-bd10-9e1a5df29af4.json b/data/hfopenllm_v2/jaspionjader/f-3-8b/5ba1e4d3-29d4-4337-bd10-9e1a5df29af4.json
deleted file mode 100644
index 055856925..000000000
--- a/data/hfopenllm_v2/jaspionjader/f-3-8b/5ba1e4d3-29d4-4337-bd10-9e1a5df29af4.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_f-3-8b/1762652580.264997",
-  "retrieved_timestamp": "1762652580.264998",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/f-3-8b",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/f-3-8b",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
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-    },
-    {
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-        "score_type": "continuous",
-        "min_score": 0,
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-      },
-      "score_details": {
-        "score": 0.1216012084592145
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.313758389261745
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.44208333333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.39544547872340424
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/f-3-8b/d4d808f5-3b79-43b5-8076-d3f785083789.json b/data/hfopenllm_v2/jaspionjader/f-3-8b/d4d808f5-3b79-43b5-8076-d3f785083789.json
new file mode 100644
index 000000000..9a8bac39d
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/f-3-8b/d4d808f5-3b79-43b5-8076-d3f785083789.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_f-3-8b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "f-3-8b",
+    "id": "jaspionjader/f-3-8b",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4803
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5275
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+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1216
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3138
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4421
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3954
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/f-4-8b/370f5923-91d7-40d2-bd06-bf2b657b8ef2.json b/data/hfopenllm_v2/jaspionjader/f-4-8b/370f5923-91d7-40d2-bd06-bf2b657b8ef2.json
new file mode 100644
index 000000000..85c9a3a2a
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/f-4-8b/370f5923-91d7-40d2-bd06-bf2b657b8ef2.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_f-4-8b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "f-4-8b",
+    "id": "jaspionjader/f-4-8b",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4797
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5289
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1148
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3087
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4514
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3956
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/f-4-8b/a98ec95c-4af0-4b55-adbc-06e5ceecd00f.json b/data/hfopenllm_v2/jaspionjader/f-4-8b/a98ec95c-4af0-4b55-adbc-06e5ceecd00f.json
deleted file mode 100644
index d875a458b..000000000
--- a/data/hfopenllm_v2/jaspionjader/f-4-8b/a98ec95c-4af0-4b55-adbc-06e5ceecd00f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_f-4-8b/1762652580.265391",
-  "retrieved_timestamp": "1762652580.2653928",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/f-4-8b",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/f-4-8b",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1148036253776435
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
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-      "score_details": {
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-    },
-    {
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-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.45141666666666663
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.39561170212765956
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/f-5-8b/4dd614dc-b68b-456c-ac55-f2221a479caa.json b/data/hfopenllm_v2/jaspionjader/f-5-8b/4dd614dc-b68b-456c-ac55-f2221a479caa.json
deleted file mode 100644
index 07939b996..000000000
--- a/data/hfopenllm_v2/jaspionjader/f-5-8b/4dd614dc-b68b-456c-ac55-f2221a479caa.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_f-5-8b/1762652580.265783",
-  "retrieved_timestamp": "1762652580.265785",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/f-5-8b",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/f-5-8b",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    {
-      "evaluation_name": "BBH",
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-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.12386706948640483
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3087248322147651
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4460520833333334
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.39486369680851063
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/f-5-8b/5334e5e4-d243-4c20-912c-d0ded74d6ea5.json b/data/hfopenllm_v2/jaspionjader/f-5-8b/5334e5e4-d243-4c20-912c-d0ded74d6ea5.json
new file mode 100644
index 000000000..dff79aa05
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/f-5-8b/5334e5e4-d243-4c20-912c-d0ded74d6ea5.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_f-5-8b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "f-5-8b",
+    "id": "jaspionjader/f-5-8b",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5044
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5313
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1239
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3087
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4461
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3949
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/f-6-8b/2a71c7d7-8ae6-45e7-ab7f-54f7d31dd131.json b/data/hfopenllm_v2/jaspionjader/f-6-8b/2a71c7d7-8ae6-45e7-ab7f-54f7d31dd131.json
deleted file mode 100644
index 85668769f..000000000
--- a/data/hfopenllm_v2/jaspionjader/f-6-8b/2a71c7d7-8ae6-45e7-ab7f-54f7d31dd131.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/jaspionjader_f-6-8b/1762652580.2661529",
-  "retrieved_timestamp": "1762652580.266155",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/f-6-8b",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/f-6-8b",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.48460196722474147
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.524094753042471
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
-        "score": 0.11933534743202417
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
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-        "score_type": "continuous",
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-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30788590604026844
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
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-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.44735416666666666
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-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3939494680851064
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-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/f-6-8b/7306f2cd-4fd2-4dd4-b06b-8c9aa558388b.json b/data/hfopenllm_v2/jaspionjader/f-6-8b/7306f2cd-4fd2-4dd4-b06b-8c9aa558388b.json
new file mode 100644
index 000000000..64a06c461
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/f-6-8b/7306f2cd-4fd2-4dd4-b06b-8c9aa558388b.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_f-6-8b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "f-6-8b",
+    "id": "jaspionjader/f-6-8b",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4846
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5241
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1193
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3079
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4474
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3939
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/f-7-8b/68cc19eb-423b-4d6d-a3bf-eac6f666bc4b.json b/data/hfopenllm_v2/jaspionjader/f-7-8b/68cc19eb-423b-4d6d-a3bf-eac6f666bc4b.json
new file mode 100644
index 000000000..e277f31b0
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/f-7-8b/68cc19eb-423b-4d6d-a3bf-eac6f666bc4b.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_f-7-8b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "f-7-8b",
+    "id": "jaspionjader/f-7-8b",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4462
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5277
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3129
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4315
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3936
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/f-7-8b/e8c5d934-c9b6-460c-bd45-c4a3e2d26bed.json b/data/hfopenllm_v2/jaspionjader/f-7-8b/e8c5d934-c9b6-460c-bd45-c4a3e2d26bed.json
deleted file mode 100644
index 09eb08f39..000000000
--- a/data/hfopenllm_v2/jaspionjader/f-7-8b/e8c5d934-c9b6-460c-bd45-c4a3e2d26bed.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_f-7-8b/1762652580.2664478",
-  "retrieved_timestamp": "1762652580.266449",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/f-7-8b",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/f-7-8b",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
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-    {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5277022085059414
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.12386706948640483
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.31291946308724833
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4315104166666666
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.39361702127659576
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/f-8-8b/59aa26a8-93b3-43fc-8c38-ef67cd8efd80.json b/data/hfopenllm_v2/jaspionjader/f-8-8b/59aa26a8-93b3-43fc-8c38-ef67cd8efd80.json
new file mode 100644
index 000000000..5cbc566d2
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/f-8-8b/59aa26a8-93b3-43fc-8c38-ef67cd8efd80.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_f-8-8b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "f-8-8b",
+    "id": "jaspionjader/f-8-8b",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4739
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5259
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1224
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3096
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4354
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.394
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/f-8-8b/dad898e1-ee18-4864-b432-462d17ac8006.json b/data/hfopenllm_v2/jaspionjader/f-8-8b/dad898e1-ee18-4864-b432-462d17ac8006.json
deleted file mode 100644
index 0cc1cacf3..000000000
--- a/data/hfopenllm_v2/jaspionjader/f-8-8b/dad898e1-ee18-4864-b432-462d17ac8006.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "retrieved_timestamp": "1762652580.266932",
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-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/f-8-8b",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/f-8-8b",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
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-    {
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-        "score_type": "continuous",
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-        "max_score": 1
-      },
-      "score_details": {
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-    {
-      "evaluation_name": "MATH Level 5",
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-    },
-    {
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-        "score_type": "continuous",
-        "min_score": 0,
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-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.43544791666666666
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-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.39403257978723405
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diff --git a/data/hfopenllm_v2/jaspionjader/f-9-8b/1373c279-13b7-46d3-94a4-7b47c9319f88.json b/data/hfopenllm_v2/jaspionjader/f-9-8b/1373c279-13b7-46d3-94a4-7b47c9319f88.json
deleted file mode 100644
index 89b2b1902..000000000
--- a/data/hfopenllm_v2/jaspionjader/f-9-8b/1373c279-13b7-46d3-94a4-7b47c9319f88.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_f-9-8b/1762652580.267217",
-  "retrieved_timestamp": "1762652580.2672179",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/f-9-8b",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/f-9-8b",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
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-  },
-  "evaluation_results": [
-    {
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
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-    {
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-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
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-}
diff --git a/data/hfopenllm_v2/jaspionjader/f-9-8b/220cd306-0613-4c8f-9848-4af812a1d37f.json b/data/hfopenllm_v2/jaspionjader/f-9-8b/220cd306-0613-4c8f-9848-4af812a1d37f.json
new file mode 100644
index 000000000..e31f7fa11
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/f-9-8b/220cd306-0613-4c8f-9848-4af812a1d37f.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_f-9-8b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "f-9-8b",
+    "id": "jaspionjader/f-9-8b",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4602
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5292
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1299
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3062
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4461
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3944
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/fct-14-8b/22c3022f-d538-4a4d-8d4b-05e915506451.json b/data/hfopenllm_v2/jaspionjader/fct-14-8b/22c3022f-d538-4a4d-8d4b-05e915506451.json
deleted file mode 100644
index 605b21673..000000000
--- a/data/hfopenllm_v2/jaspionjader/fct-14-8b/22c3022f-d538-4a4d-8d4b-05e915506451.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_fct-14-8b/1762652580.2674618",
-  "retrieved_timestamp": "1762652580.267463",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/fct-14-8b",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/fct-14-8b",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
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-      "metric_config": {
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-        "lower_is_better": false,
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-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5206018889288543
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.12009063444108761
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3162751677852349
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4185520833333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3875498670212766
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/fct-14-8b/39a6a40c-3fa0-41ba-9d13-da9381263d4a.json b/data/hfopenllm_v2/jaspionjader/fct-14-8b/39a6a40c-3fa0-41ba-9d13-da9381263d4a.json
new file mode 100644
index 000000000..4829d4d11
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/fct-14-8b/39a6a40c-3fa0-41ba-9d13-da9381263d4a.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_fct-14-8b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "fct-14-8b",
+    "id": "jaspionjader/fct-14-8b",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4129
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5206
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1201
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3163
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4186
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3875
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/fct-9-8b/4d037b71-5d03-41a1-bf23-c0aea0cdcbbb.json b/data/hfopenllm_v2/jaspionjader/fct-9-8b/4d037b71-5d03-41a1-bf23-c0aea0cdcbbb.json
new file mode 100644
index 000000000..6ed9866d8
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/fct-9-8b/4d037b71-5d03-41a1-bf23-c0aea0cdcbbb.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_fct-9-8b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "fct-9-8b",
+    "id": "jaspionjader/fct-9-8b",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4354
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5205
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1193
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3079
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4291
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3932
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/fct-9-8b/4d1ddf64-4626-4877-a0fa-84e06f6cf977.json b/data/hfopenllm_v2/jaspionjader/fct-9-8b/4d1ddf64-4626-4877-a0fa-84e06f6cf977.json
deleted file mode 100644
index 769ed2531..000000000
--- a/data/hfopenllm_v2/jaspionjader/fct-9-8b/4d1ddf64-4626-4877-a0fa-84e06f6cf977.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_fct-9-8b/1762652580.267691",
-  "retrieved_timestamp": "1762652580.267692",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/fct-9-8b",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/fct-9-8b",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4353925362482657
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.520510244410076
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11933534743202417
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30788590604026844
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42906249999999996
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.39320146276595747
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-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/fr-1-8b/16baf620-7dcc-49f3-a787-b431e11ad4f6.json b/data/hfopenllm_v2/jaspionjader/fr-1-8b/16baf620-7dcc-49f3-a787-b431e11ad4f6.json
new file mode 100644
index 000000000..e4d8bb492
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/fr-1-8b/16baf620-7dcc-49f3-a787-b431e11ad4f6.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_fr-1-8b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "fr-1-8b",
+    "id": "jaspionjader/fr-1-8b",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4211
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5142
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1118
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3054
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4277
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.361
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/fr-1-8b/2014c198-5e12-41ef-8f65-7321d0423573.json b/data/hfopenllm_v2/jaspionjader/fr-1-8b/2014c198-5e12-41ef-8f65-7321d0423573.json
deleted file mode 100644
index e6415b486..000000000
--- a/data/hfopenllm_v2/jaspionjader/fr-1-8b/2014c198-5e12-41ef-8f65-7321d0423573.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_fr-1-8b/1762652580.267912",
-  "retrieved_timestamp": "1762652580.2679129",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/fr-1-8b",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/fr-1-8b",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.421079402651631
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-        "score": 0.11178247734138973
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-    },
-    {
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-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3053691275167785
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4276979166666666
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.36103723404255317
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/fr-10-8b/4745add2-7bcb-4c05-8b12-6bd30856890b.json b/data/hfopenllm_v2/jaspionjader/fr-10-8b/4745add2-7bcb-4c05-8b12-6bd30856890b.json
new file mode 100644
index 000000000..9d8f40937
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/fr-10-8b/4745add2-7bcb-4c05-8b12-6bd30856890b.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_fr-10-8b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "fr-10-8b",
+    "id": "jaspionjader/fr-10-8b",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4402
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5207
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1224
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3171
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4119
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3863
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/fr-10-8b/725e5a72-548f-46d0-b268-12209e5cb085.json b/data/hfopenllm_v2/jaspionjader/fr-10-8b/725e5a72-548f-46d0-b268-12209e5cb085.json
deleted file mode 100644
index 5d36e323e..000000000
--- a/data/hfopenllm_v2/jaspionjader/fr-10-8b/725e5a72-548f-46d0-b268-12209e5cb085.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/jaspionjader_fr-10-8b/1762652580.268136",
-  "retrieved_timestamp": "1762652580.268136",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/fr-10-8b",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/fr-10-8b",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.12235649546827794
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.31711409395973156
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4118541666666667
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3863031914893617
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/fr-3-8b/8bdd1aba-81e4-44d1-acfd-6efeaf391ac8.json b/data/hfopenllm_v2/jaspionjader/fr-3-8b/8bdd1aba-81e4-44d1-acfd-6efeaf391ac8.json
deleted file mode 100644
index 738bb0c78..000000000
--- a/data/hfopenllm_v2/jaspionjader/fr-3-8b/8bdd1aba-81e4-44d1-acfd-6efeaf391ac8.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_fr-3-8b/1762652580.268359",
-  "retrieved_timestamp": "1762652580.26836",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/fr-3-8b",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/fr-3-8b",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
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-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    {
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-        "evaluation_description": "Accuracy on BBH",
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    {
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-    {
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-    {
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-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
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-        "score_type": "continuous",
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-        "max_score": 1
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-      "score_details": {
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-}
diff --git a/data/hfopenllm_v2/jaspionjader/fr-3-8b/f68b122d-4dec-4d5c-ac22-198da3d3e96b.json b/data/hfopenllm_v2/jaspionjader/fr-3-8b/f68b122d-4dec-4d5c-ac22-198da3d3e96b.json
new file mode 100644
index 000000000..4ae5f5614
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/fr-3-8b/f68b122d-4dec-4d5c-ac22-198da3d3e96b.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_fr-3-8b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "fr-3-8b",
+    "id": "jaspionjader/fr-3-8b",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4326
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5255
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1133
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3054
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4198
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3863
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/gamma-Kosmos-EVAA-8B/2e20f780-ceab-4d1d-a1ab-35f4f0ac44aa.json b/data/hfopenllm_v2/jaspionjader/gamma-Kosmos-EVAA-8B/2e20f780-ceab-4d1d-a1ab-35f4f0ac44aa.json
new file mode 100644
index 000000000..84a9fa596
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/gamma-Kosmos-EVAA-8B/2e20f780-ceab-4d1d-a1ab-35f4f0ac44aa.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_gamma-Kosmos-EVAA-8B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "gamma-Kosmos-EVAA-8B",
+    "id": "jaspionjader/gamma-Kosmos-EVAA-8B",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.425
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5253
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0899
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3138
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4412
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3776
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/gamma-Kosmos-EVAA-8B/6e5584a8-5b8e-48ce-8b80-2d39a74a9b0d.json b/data/hfopenllm_v2/jaspionjader/gamma-Kosmos-EVAA-8B/6e5584a8-5b8e-48ce-8b80-2d39a74a9b0d.json
deleted file mode 100644
index 5c80e1137..000000000
--- a/data/hfopenllm_v2/jaspionjader/gamma-Kosmos-EVAA-8B/6e5584a8-5b8e-48ce-8b80-2d39a74a9b0d.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_gamma-Kosmos-EVAA-8B/1762652580.268576",
-  "retrieved_timestamp": "1762652580.268577",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/gamma-Kosmos-EVAA-8B",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/gamma-Kosmos-EVAA-8B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42500121898784116
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5252624326543692
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.08987915407854985
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
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-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.313758389261745
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.44115624999999997
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37757646276595747
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/gamma-Kosmos-EVAA-v2-8B/67f972e1-4ebd-4b78-b740-fdc03ac88aac.json b/data/hfopenllm_v2/jaspionjader/gamma-Kosmos-EVAA-v2-8B/67f972e1-4ebd-4b78-b740-fdc03ac88aac.json
deleted file mode 100644
index a0a91ae30..000000000
--- a/data/hfopenllm_v2/jaspionjader/gamma-Kosmos-EVAA-v2-8B/67f972e1-4ebd-4b78-b740-fdc03ac88aac.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_gamma-Kosmos-EVAA-v2-8B/1762652580.268805",
-  "retrieved_timestamp": "1762652580.268806",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/gamma-Kosmos-EVAA-v2-8B",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/gamma-Kosmos-EVAA-v2-8B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5262464083930688
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.10574018126888217
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.32046979865771813
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4343958333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3755817819148936
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/gamma-Kosmos-EVAA-v2-8B/f21bcd75-fc9f-4266-8976-3227b18b6b32.json b/data/hfopenllm_v2/jaspionjader/gamma-Kosmos-EVAA-v2-8B/f21bcd75-fc9f-4266-8976-3227b18b6b32.json
new file mode 100644
index 000000000..fdf1ccc99
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/gamma-Kosmos-EVAA-v2-8B/f21bcd75-fc9f-4266-8976-3227b18b6b32.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_gamma-Kosmos-EVAA-v2-8B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "gamma-Kosmos-EVAA-v2-8B",
+    "id": "jaspionjader/gamma-Kosmos-EVAA-v2-8B",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4233
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5262
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1057
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3205
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4344
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3756
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/gamma-Kosmos-EVAA-v3-8B/7c1a81ec-1cb7-4858-8f1f-23b3ee49b73f.json b/data/hfopenllm_v2/jaspionjader/gamma-Kosmos-EVAA-v3-8B/7c1a81ec-1cb7-4858-8f1f-23b3ee49b73f.json
new file mode 100644
index 000000000..9aa3757ce
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/gamma-Kosmos-EVAA-v3-8B/7c1a81ec-1cb7-4858-8f1f-23b3ee49b73f.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_gamma-Kosmos-EVAA-v3-8B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "gamma-Kosmos-EVAA-v3-8B",
+    "id": "jaspionjader/gamma-Kosmos-EVAA-v3-8B",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4333
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5278
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.111
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3129
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4263
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3898
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/gamma-Kosmos-EVAA-v3-8B/d461545f-ebcb-49e2-94ce-a6591e31a94a.json b/data/hfopenllm_v2/jaspionjader/gamma-Kosmos-EVAA-v3-8B/d461545f-ebcb-49e2-94ce-a6591e31a94a.json
deleted file mode 100644
index 968f92f0f..000000000
--- a/data/hfopenllm_v2/jaspionjader/gamma-Kosmos-EVAA-v3-8B/d461545f-ebcb-49e2-94ce-a6591e31a94a.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_gamma-Kosmos-EVAA-v3-8B/1762652580.269119",
-  "retrieved_timestamp": "1762652580.26912",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/gamma-Kosmos-EVAA-v3-8B",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/gamma-Kosmos-EVAA-v3-8B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.43326928106313467
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.527793553969925
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11102719033232629
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.31291946308724833
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4263020833333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3897938829787234
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/knf-2-8b/1cbfd1ad-237d-4cd3-8b5d-3135c194fcc0.json b/data/hfopenllm_v2/jaspionjader/knf-2-8b/1cbfd1ad-237d-4cd3-8b5d-3135c194fcc0.json
new file mode 100644
index 000000000..f0dcdddf2
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/knf-2-8b/1cbfd1ad-237d-4cd3-8b5d-3135c194fcc0.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_knf-2-8b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "knf-2-8b",
+    "id": "jaspionjader/knf-2-8b",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.425
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5207
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1201
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3104
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4185
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3875
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/knf-2-8b/267e641c-7fbd-40d3-a9b7-eb3621240b2a.json b/data/hfopenllm_v2/jaspionjader/knf-2-8b/267e641c-7fbd-40d3-a9b7-eb3621240b2a.json
deleted file mode 100644
index 752ef4d2c..000000000
--- a/data/hfopenllm_v2/jaspionjader/knf-2-8b/267e641c-7fbd-40d3-a9b7-eb3621240b2a.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_knf-2-8b/1762652580.269415",
-  "retrieved_timestamp": "1762652580.2694159",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/knf-2-8b",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/knf-2-8b",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42500121898784116
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5206718655559387
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.12009063444108761
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3104026845637584
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4185208333333333
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3874667553191489
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/knfp-2-8b/0bd6a333-afc0-43a4-9d14-fa44c2364184.json b/data/hfopenllm_v2/jaspionjader/knfp-2-8b/0bd6a333-afc0-43a4-9d14-fa44c2364184.json
deleted file mode 100644
index 467bbd85c..000000000
--- a/data/hfopenllm_v2/jaspionjader/knfp-2-8b/0bd6a333-afc0-43a4-9d14-fa44c2364184.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_knfp-2-8b/1762652580.2696629",
-  "retrieved_timestamp": "1762652580.269664",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/knfp-2-8b",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/knfp-2-8b",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5327120928026525
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5304878011708133
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
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-        "evaluation_description": "Exact Match on MATH Level 5",
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-        "score_type": "continuous",
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-        "score": 0.14274924471299094
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-    {
-      "evaluation_name": "GPQA",
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-        "evaluation_description": "Accuracy on GPQA",
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-    },
-    {
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-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
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-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-}
diff --git a/data/hfopenllm_v2/jaspionjader/knfp-2-8b/ef5c1813-a74d-4b3d-9911-c27a46c1c84e.json b/data/hfopenllm_v2/jaspionjader/knfp-2-8b/ef5c1813-a74d-4b3d-9911-c27a46c1c84e.json
new file mode 100644
index 000000000..2ee41f38d
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/knfp-2-8b/ef5c1813-a74d-4b3d-9911-c27a46c1c84e.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_knfp-2-8b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "knfp-2-8b",
+    "id": "jaspionjader/knfp-2-8b",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5327
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5305
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1427
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+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2928
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4185
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3726
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/knfp-3-8b/38a5c599-a098-42f4-a7cb-acee487e382a.json b/data/hfopenllm_v2/jaspionjader/knfp-3-8b/38a5c599-a098-42f4-a7cb-acee487e382a.json
deleted file mode 100644
index d345b2110..000000000
--- a/data/hfopenllm_v2/jaspionjader/knfp-3-8b/38a5c599-a098-42f4-a7cb-acee487e382a.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_knfp-3-8b/1762652580.2700531",
-  "retrieved_timestamp": "1762652580.2700539",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/knfp-3-8b",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/knfp-3-8b",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.49456885508229276
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5199790073136731
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.12235649546827794
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3070469798657718
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41712499999999997
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3881316489361702
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/knfp-3-8b/df50857d-c90e-4ec8-a9b6-96a6d2f894b1.json b/data/hfopenllm_v2/jaspionjader/knfp-3-8b/df50857d-c90e-4ec8-a9b6-96a6d2f894b1.json
new file mode 100644
index 000000000..3ed3a2d85
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/knfp-3-8b/df50857d-c90e-4ec8-a9b6-96a6d2f894b1.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_knfp-3-8b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "knfp-3-8b",
+    "id": "jaspionjader/knfp-3-8b",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4946
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.52
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1224
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.307
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4171
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3881
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/kstc-1-8b/774d54fb-a445-4ed9-b79a-9c1346537e98.json b/data/hfopenllm_v2/jaspionjader/kstc-1-8b/774d54fb-a445-4ed9-b79a-9c1346537e98.json
new file mode 100644
index 000000000..3c1fc3df6
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/kstc-1-8b/774d54fb-a445-4ed9-b79a-9c1346537e98.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_kstc-1-8b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "kstc-1-8b",
+    "id": "jaspionjader/kstc-1-8b",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4643
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5209
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1171
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3171
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4158
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3892
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/kstc-1-8b/cd7e14cb-b1f1-47d8-81a9-960da8ac4e05.json b/data/hfopenllm_v2/jaspionjader/kstc-1-8b/cd7e14cb-b1f1-47d8-81a9-960da8ac4e05.json
deleted file mode 100644
index d22dd27de..000000000
--- a/data/hfopenllm_v2/jaspionjader/kstc-1-8b/cd7e14cb-b1f1-47d8-81a9-960da8ac4e05.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_kstc-1-8b/1762652580.2702851",
-  "retrieved_timestamp": "1762652580.270286",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/kstc-1-8b",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/kstc-1-8b",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4642936297911763
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5209048705325947
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11706948640483383
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.31711409395973156
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4157916666666666
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3892121010638298
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/kstc-11-8b/41b46842-dffa-4791-8225-99d676f563c9.json b/data/hfopenllm_v2/jaspionjader/kstc-11-8b/41b46842-dffa-4791-8225-99d676f563c9.json
deleted file mode 100644
index 733ddea75..000000000
--- a/data/hfopenllm_v2/jaspionjader/kstc-11-8b/41b46842-dffa-4791-8225-99d676f563c9.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_kstc-11-8b/1762652580.270522",
-  "retrieved_timestamp": "1762652580.270522",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/kstc-11-8b",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/kstc-11-8b",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4757343847657549
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5189389675805397
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.12009063444108761
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3028523489932886
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4117604166666667
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3878823138297872
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/kstc-11-8b/420b8be3-3560-48e8-8ab3-bb55338a9069.json b/data/hfopenllm_v2/jaspionjader/kstc-11-8b/420b8be3-3560-48e8-8ab3-bb55338a9069.json
new file mode 100644
index 000000000..cbbf1f3a0
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/kstc-11-8b/420b8be3-3560-48e8-8ab3-bb55338a9069.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_kstc-11-8b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "kstc-11-8b",
+    "id": "jaspionjader/kstc-11-8b",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4757
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5189
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1201
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3029
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4118
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3879
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/kstc-4-8b/6b63598f-4891-4b71-99ca-bc56b780d829.json b/data/hfopenllm_v2/jaspionjader/kstc-4-8b/6b63598f-4891-4b71-99ca-bc56b780d829.json
deleted file mode 100644
index a6d3d4635..000000000
--- a/data/hfopenllm_v2/jaspionjader/kstc-4-8b/6b63598f-4891-4b71-99ca-bc56b780d829.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_kstc-4-8b/1762652580.270735",
-  "retrieved_timestamp": "1762652580.270736",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/kstc-4-8b",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/kstc-4-8b",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4769832932175517
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5216059333020012
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.12386706948640483
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3036912751677852
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4117916666666666
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3868849734042553
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/kstc-4-8b/c118b75c-597f-48a7-a4eb-675af72c9930.json b/data/hfopenllm_v2/jaspionjader/kstc-4-8b/c118b75c-597f-48a7-a4eb-675af72c9930.json
new file mode 100644
index 000000000..3b5882807
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/kstc-4-8b/c118b75c-597f-48a7-a4eb-675af72c9930.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_kstc-4-8b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "kstc-4-8b",
+    "id": "jaspionjader/kstc-4-8b",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.477
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5216
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1239
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3037
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4118
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3869
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/kstc-5-8b/e75534d3-b994-4e88-9274-7b62f61916cf.json b/data/hfopenllm_v2/jaspionjader/kstc-5-8b/e75534d3-b994-4e88-9274-7b62f61916cf.json
new file mode 100644
index 000000000..4dec5cab3
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/kstc-5-8b/e75534d3-b994-4e88-9274-7b62f61916cf.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_kstc-5-8b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "kstc-5-8b",
+    "id": "jaspionjader/kstc-5-8b",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4721
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5211
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1299
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3154
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4224
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3892
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/kstc-5-8b/ea79ca75-c55b-457a-b952-528a22567dbb.json b/data/hfopenllm_v2/jaspionjader/kstc-5-8b/ea79ca75-c55b-457a-b952-528a22567dbb.json
deleted file mode 100644
index 75c072de0..000000000
--- a/data/hfopenllm_v2/jaspionjader/kstc-5-8b/ea79ca75-c55b-457a-b952-528a22567dbb.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_kstc-5-8b/1762652580.270952",
-  "retrieved_timestamp": "1762652580.270953",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/kstc-5-8b",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/kstc-5-8b",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.47208739477918593
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5211438914491455
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1299093655589124
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.31543624161073824
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4223958333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3892121010638298
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/kstc-6-8b/770a1ff1-057f-49a7-9402-c6dd881ac03d.json b/data/hfopenllm_v2/jaspionjader/kstc-6-8b/770a1ff1-057f-49a7-9402-c6dd881ac03d.json
new file mode 100644
index 000000000..2000e4ffd
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/kstc-6-8b/770a1ff1-057f-49a7-9402-c6dd881ac03d.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_kstc-6-8b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "kstc-6-8b",
+    "id": "jaspionjader/kstc-6-8b",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4944
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5231
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1246
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2995
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4105
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3857
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/kstc-6-8b/f7d63a4b-070d-4581-acce-cd356a3dea47.json b/data/hfopenllm_v2/jaspionjader/kstc-6-8b/f7d63a4b-070d-4581-acce-cd356a3dea47.json
deleted file mode 100644
index 3e2e31647..000000000
--- a/data/hfopenllm_v2/jaspionjader/kstc-6-8b/f7d63a4b-070d-4581-acce-cd356a3dea47.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_kstc-6-8b/1762652580.2711701",
-  "retrieved_timestamp": "1762652580.2711701",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/kstc-6-8b",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/kstc-6-8b",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.49439376410147295
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5230977287748603
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.12462235649546828
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.29949664429530204
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4104895833333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3857214095744681
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/kstc-8-8b/6cc9790d-9b02-437e-8ac7-be4152f5b17d.json b/data/hfopenllm_v2/jaspionjader/kstc-8-8b/6cc9790d-9b02-437e-8ac7-be4152f5b17d.json
new file mode 100644
index 000000000..3637c9325
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/kstc-8-8b/6cc9790d-9b02-437e-8ac7-be4152f5b17d.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_kstc-8-8b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "kstc-8-8b",
+    "id": "jaspionjader/kstc-8-8b",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.491
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5239
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1307
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3054
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4211
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3889
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/kstc-8-8b/85502cb7-db11-43ce-a3cf-f9329ecec2e1.json b/data/hfopenllm_v2/jaspionjader/kstc-8-8b/85502cb7-db11-43ce-a3cf-f9329ecec2e1.json
deleted file mode 100644
index d7df2b02b..000000000
--- a/data/hfopenllm_v2/jaspionjader/kstc-8-8b/85502cb7-db11-43ce-a3cf-f9329ecec2e1.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_kstc-8-8b/1762652580.271383",
-  "retrieved_timestamp": "1762652580.271384",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/kstc-8-8b",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/kstc-8-8b",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.49097173278013445
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5238910223750602
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.13066465256797583
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3053691275167785
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42112499999999997
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3888796542553192
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/kstc-9-8b/264f5b42-a3ac-4af1-8145-c5763b8e7fa6.json b/data/hfopenllm_v2/jaspionjader/kstc-9-8b/264f5b42-a3ac-4af1-8145-c5763b8e7fa6.json
new file mode 100644
index 000000000..23d708f9b
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/kstc-9-8b/264f5b42-a3ac-4af1-8145-c5763b8e7fa6.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_kstc-9-8b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "kstc-9-8b",
+    "id": "jaspionjader/kstc-9-8b",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4861
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5238
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.136
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3012
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4118
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3872
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/kstc-9-8b/5f36e182-fa70-41d9-9cc6-12367035fc76.json b/data/hfopenllm_v2/jaspionjader/kstc-9-8b/5f36e182-fa70-41d9-9cc6-12367035fc76.json
deleted file mode 100644
index 17e354ab1..000000000
--- a/data/hfopenllm_v2/jaspionjader/kstc-9-8b/5f36e182-fa70-41d9-9cc6-12367035fc76.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_kstc-9-8b/1762652580.27159",
-  "retrieved_timestamp": "1762652580.27159",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/kstc-9-8b",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/kstc-9-8b",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4860758343417687
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5238366551736342
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.13595166163141995
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3011744966442953
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4117916666666666
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.38721742021276595
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/slu-10/549db368-437a-4982-ba5b-5c4d7bf203ae.json b/data/hfopenllm_v2/jaspionjader/slu-10/549db368-437a-4982-ba5b-5c4d7bf203ae.json
new file mode 100644
index 000000000..bde42f6e8
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/slu-10/549db368-437a-4982-ba5b-5c4d7bf203ae.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_slu-10/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "slu-10",
+    "id": "jaspionjader/slu-10",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.436
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5096
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0974
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3138
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.392
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3664
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/slu-10/79c255e5-8a6b-4afd-a03e-e35cbcbcc712.json b/data/hfopenllm_v2/jaspionjader/slu-10/79c255e5-8a6b-4afd-a03e-e35cbcbcc712.json
deleted file mode 100644
index 148b8c2ca..000000000
--- a/data/hfopenllm_v2/jaspionjader/slu-10/79c255e5-8a6b-4afd-a03e-e35cbcbcc712.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_slu-10/1762652580.271806",
-  "retrieved_timestamp": "1762652580.271807",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/slu-10",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/slu-10",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4359920566319587
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5096469529197213
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.09743202416918428
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.313758389261745
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3920104166666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3663563829787234
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/slu-11/0091eabc-3888-4e1a-a29d-8c4e98b599f2.json b/data/hfopenllm_v2/jaspionjader/slu-11/0091eabc-3888-4e1a-a29d-8c4e98b599f2.json
deleted file mode 100644
index b5cf2fe9a..000000000
--- a/data/hfopenllm_v2/jaspionjader/slu-11/0091eabc-3888-4e1a-a29d-8c4e98b599f2.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_slu-11/1762652580.272018",
-  "retrieved_timestamp": "1762652580.272018",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/slu-11",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/slu-11",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.372519359743259
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4890236865115587
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.055891238670694864
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3036912751677852
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3919479166666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.33818151595744683
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/slu-11/0d098a19-7e8f-4a52-8466-729be91388d8.json b/data/hfopenllm_v2/jaspionjader/slu-11/0d098a19-7e8f-4a52-8466-729be91388d8.json
new file mode 100644
index 000000000..00f33a8c5
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/slu-11/0d098a19-7e8f-4a52-8466-729be91388d8.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_slu-11/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "slu-11",
+    "id": "jaspionjader/slu-11",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3725
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.489
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0559
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3037
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3919
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3382
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/slu-13/1a1eaa84-9926-4c4b-b254-96cd667c25ac.json b/data/hfopenllm_v2/jaspionjader/slu-13/1a1eaa84-9926-4c4b-b254-96cd667c25ac.json
deleted file mode 100644
index d28a89793..000000000
--- a/data/hfopenllm_v2/jaspionjader/slu-13/1a1eaa84-9926-4c4b-b254-96cd667c25ac.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_slu-13/1762652580.272234",
-  "retrieved_timestamp": "1762652580.272237",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/slu-13",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/slu-13",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4378404854674486
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5097334543819346
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.08081570996978851
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30788590604026844
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.38140625
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.35804521276595747
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/slu-13/83335f65-25a4-4bec-a901-587567ed0e99.json b/data/hfopenllm_v2/jaspionjader/slu-13/83335f65-25a4-4bec-a901-587567ed0e99.json
new file mode 100644
index 000000000..7dba81194
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/slu-13/83335f65-25a4-4bec-a901-587567ed0e99.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_slu-13/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "slu-13",
+    "id": "jaspionjader/slu-13",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4378
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5097
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0808
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3079
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3814
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.358
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/slu-14/02fb24c3-927f-4c21-bd47-b883521162a3.json b/data/hfopenllm_v2/jaspionjader/slu-14/02fb24c3-927f-4c21-bd47-b883521162a3.json
new file mode 100644
index 000000000..ff8e6a9e1
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/slu-14/02fb24c3-927f-4c21-bd47-b883521162a3.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_slu-14/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "slu-14",
+    "id": "jaspionjader/slu-14",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4107
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5089
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0974
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3079
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.396
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3627
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/slu-14/59703023-61e1-4df0-8542-703d5a318756.json b/data/hfopenllm_v2/jaspionjader/slu-14/59703023-61e1-4df0-8542-703d5a318756.json
deleted file mode 100644
index 4a15f7f4a..000000000
--- a/data/hfopenllm_v2/jaspionjader/slu-14/59703023-61e1-4df0-8542-703d5a318756.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_slu-14/1762652580.27245",
-  "retrieved_timestamp": "1762652580.2724512",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/slu-14",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/slu-14",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4106880853912065
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5088505978489455
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.09743202416918428
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30788590604026844
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3960416666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3626994680851064
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/slu-17/2a6507c7-44c1-4416-9ff1-36abd6af3b73.json b/data/hfopenllm_v2/jaspionjader/slu-17/2a6507c7-44c1-4416-9ff1-36abd6af3b73.json
new file mode 100644
index 000000000..5214d57f6
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/slu-17/2a6507c7-44c1-4416-9ff1-36abd6af3b73.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_slu-17/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "slu-17",
+    "id": "jaspionjader/slu-17",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4217
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5071
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0853
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3087
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3761
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3619
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/slu-17/fea528ae-4015-4adf-bce0-f9775554cc5f.json b/data/hfopenllm_v2/jaspionjader/slu-17/fea528ae-4015-4adf-bce0-f9775554cc5f.json
deleted file mode 100644
index 154de249b..000000000
--- a/data/hfopenllm_v2/jaspionjader/slu-17/fea528ae-4015-4adf-bce0-f9775554cc5f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_slu-17/1762652580.272654",
-  "retrieved_timestamp": "1762652580.272655",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/slu-17",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/slu-17",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42167892303532406
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5070562055653275
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.08534743202416918
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3087248322147651
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3761041666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3618683510638298
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/slu-2/1950fba0-3a1b-4cbe-8fa5-9947ed8e4bad.json b/data/hfopenllm_v2/jaspionjader/slu-2/1950fba0-3a1b-4cbe-8fa5-9947ed8e4bad.json
deleted file mode 100644
index b36760b3a..000000000
--- a/data/hfopenllm_v2/jaspionjader/slu-2/1950fba0-3a1b-4cbe-8fa5-9947ed8e4bad.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_slu-2/1762652580.2728698",
-  "retrieved_timestamp": "1762652580.272871",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/slu-2",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/slu-2",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.40159554426698935
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5008068127974601
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.0634441087613293
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2986577181208054
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3958854166666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.35064827127659576
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/slu-2/327a146a-8cfd-4480-8342-46afde530677.json b/data/hfopenllm_v2/jaspionjader/slu-2/327a146a-8cfd-4480-8342-46afde530677.json
new file mode 100644
index 000000000..746324375
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/slu-2/327a146a-8cfd-4480-8342-46afde530677.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_slu-2/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "slu-2",
+    "id": "jaspionjader/slu-2",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4016
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5008
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0634
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2987
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3959
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3506
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/slu-20/0700fb7a-e722-432f-a64d-c040bba4deee.json b/data/hfopenllm_v2/jaspionjader/slu-20/0700fb7a-e722-432f-a64d-c040bba4deee.json
new file mode 100644
index 000000000..b57d6ab6a
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/slu-20/0700fb7a-e722-432f-a64d-c040bba4deee.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_slu-20/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "slu-20",
+    "id": "jaspionjader/slu-20",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4393
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5061
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0869
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3087
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3933
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3665
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/slu-20/1430e550-80ca-4f84-952f-b5b10fbca711.json b/data/hfopenllm_v2/jaspionjader/slu-20/1430e550-80ca-4f84-952f-b5b10fbca711.json
deleted file mode 100644
index 7e04d1209..000000000
--- a/data/hfopenllm_v2/jaspionjader/slu-20/1430e550-80ca-4f84-952f-b5b10fbca711.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_slu-20/1762652580.273083",
-  "retrieved_timestamp": "1762652580.273084",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/slu-20",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/slu-20",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4393143525844759
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5061273966566772
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.08685800604229606
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3087248322147651
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.39334375000000005
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.36652260638297873
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/slu-22/131d3a7e-43dd-4189-8466-6562703b3bdd.json b/data/hfopenllm_v2/jaspionjader/slu-22/131d3a7e-43dd-4189-8466-6562703b3bdd.json
new file mode 100644
index 000000000..3b02267ec
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/slu-22/131d3a7e-43dd-4189-8466-6562703b3bdd.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_slu-22/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "slu-22",
+    "id": "jaspionjader/slu-22",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4321
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5082
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0793
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3163
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3893
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.365
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/slu-22/c0898ca4-21a7-4d83-ad2e-1aa61bd370fa.json b/data/hfopenllm_v2/jaspionjader/slu-22/c0898ca4-21a7-4d83-ad2e-1aa61bd370fa.json
deleted file mode 100644
index cbf03d260..000000000
--- a/data/hfopenllm_v2/jaspionjader/slu-22/c0898ca4-21a7-4d83-ad2e-1aa61bd370fa.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_slu-22/1762652580.2733881",
-  "retrieved_timestamp": "1762652580.273391",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/slu-22",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/slu-22",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4321201079801593
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5081790871805086
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.07930513595166164
-      }
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-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3162751677852349
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-      }
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-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-      "score_details": {
-        "score": 0.3650265957446808
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/slu-23/8f6d7008-b8de-4a76-94aa-bbecc93ef3f7.json b/data/hfopenllm_v2/jaspionjader/slu-23/8f6d7008-b8de-4a76-94aa-bbecc93ef3f7.json
new file mode 100644
index 000000000..12d59c50d
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/slu-23/8f6d7008-b8de-4a76-94aa-bbecc93ef3f7.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_slu-23/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "slu-23",
+    "id": "jaspionjader/slu-23",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4478
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5132
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0944
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3045
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4092
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3725
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/slu-23/f4b76351-e472-47a9-8011-6bf2e7e33a71.json b/data/hfopenllm_v2/jaspionjader/slu-23/f4b76351-e472-47a9-8011-6bf2e7e33a71.json
deleted file mode 100644
index a6f397181..000000000
--- a/data/hfopenllm_v2/jaspionjader/slu-23/f4b76351-e472-47a9-8011-6bf2e7e33a71.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_slu-23/1762652580.27371",
-  "retrieved_timestamp": "1762652580.2737112",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/slu-23",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/slu-23",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.44780737332499987
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5131603005034272
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.09441087613293052
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30453020134228187
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.40924999999999995
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3725066489361702
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/slu-25/03c03447-1bf3-4721-8f9e-5ef041ab5d7d.json b/data/hfopenllm_v2/jaspionjader/slu-25/03c03447-1bf3-4721-8f9e-5ef041ab5d7d.json
deleted file mode 100644
index 53324f918..000000000
--- a/data/hfopenllm_v2/jaspionjader/slu-25/03c03447-1bf3-4721-8f9e-5ef041ab5d7d.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_slu-25/1762652580.27394",
-  "retrieved_timestamp": "1762652580.273941",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/slu-25",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/slu-25",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4500303638789523
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5094887898349904
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.08383685800604229
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3087248322147651
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3946145833333334
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3684341755319149
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/slu-25/aadb0ce5-a1aa-4b0d-bec4-8bb0e8e54a1d.json b/data/hfopenllm_v2/jaspionjader/slu-25/aadb0ce5-a1aa-4b0d-bec4-8bb0e8e54a1d.json
new file mode 100644
index 000000000..f8a9592be
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/slu-25/aadb0ce5-a1aa-4b0d-bec4-8bb0e8e54a1d.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_slu-25/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "slu-25",
+    "id": "jaspionjader/slu-25",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.45
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5095
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0838
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3087
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3946
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3684
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/slu-29/a73250f1-399a-4afa-bf83-4036dce78ef3.json b/data/hfopenllm_v2/jaspionjader/slu-29/a73250f1-399a-4afa-bf83-4036dce78ef3.json
new file mode 100644
index 000000000..56321b0e4
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/slu-29/a73250f1-399a-4afa-bf83-4036dce78ef3.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_slu-29/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "slu-29",
+    "id": "jaspionjader/slu-29",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4431
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5096
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0869
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.307
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3933
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3669
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/slu-29/fe231e36-6cc2-412c-b86e-0ba6ba9cc430.json b/data/hfopenllm_v2/jaspionjader/slu-29/fe231e36-6cc2-412c-b86e-0ba6ba9cc430.json
deleted file mode 100644
index 0931fe3c9..000000000
--- a/data/hfopenllm_v2/jaspionjader/slu-29/fe231e36-6cc2-412c-b86e-0ba6ba9cc430.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_slu-29/1762652580.274164",
-  "retrieved_timestamp": "1762652580.274165",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/slu-29",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/slu-29",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4430610779398662
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5096472519745161
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.08685800604229606
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3070469798657718
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3933125
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.366938164893617
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/slu-32/1095577f-7b50-4854-9c7c-5beb59206e60.json b/data/hfopenllm_v2/jaspionjader/slu-32/1095577f-7b50-4854-9c7c-5beb59206e60.json
deleted file mode 100644
index fa6cce8be..000000000
--- a/data/hfopenllm_v2/jaspionjader/slu-32/1095577f-7b50-4854-9c7c-5beb59206e60.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_slu-32/1762652580.274382",
-  "retrieved_timestamp": "1762652580.274383",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/slu-32",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/slu-32",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.45155409868039026
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5167277162337642
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.10725075528700906
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30201342281879195
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4039166666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3765791223404255
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/slu-32/f68bf680-9626-4952-b95e-12a18fd60820.json b/data/hfopenllm_v2/jaspionjader/slu-32/f68bf680-9626-4952-b95e-12a18fd60820.json
new file mode 100644
index 000000000..3e62ecf10
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/slu-32/f68bf680-9626-4952-b95e-12a18fd60820.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_slu-32/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "slu-32",
+    "id": "jaspionjader/slu-32",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4516
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5167
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1073
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.302
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4039
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3766
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/slu-33/2597a3df-0f30-43d1-b1b3-7a0baac07675.json b/data/hfopenllm_v2/jaspionjader/slu-33/2597a3df-0f30-43d1-b1b3-7a0baac07675.json
deleted file mode 100644
index 0c6ca635a..000000000
--- a/data/hfopenllm_v2/jaspionjader/slu-33/2597a3df-0f30-43d1-b1b3-7a0baac07675.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_slu-33/1762652580.274691",
-  "retrieved_timestamp": "1762652580.274692",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/slu-33",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/slu-33",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4457339858242796
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5081308429202344
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.09969788519637462
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.31208053691275167
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.38667708333333334
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3679355053191489
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/slu-33/d6a78a5c-4a2e-4370-88f2-d8627a94f1ea.json b/data/hfopenllm_v2/jaspionjader/slu-33/d6a78a5c-4a2e-4370-88f2-d8627a94f1ea.json
new file mode 100644
index 000000000..c25031e6e
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/slu-33/d6a78a5c-4a2e-4370-88f2-d8627a94f1ea.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_slu-33/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "slu-33",
+    "id": "jaspionjader/slu-33",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4457
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5081
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0997
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3121
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3867
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3679
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/slu-34/050afa51-be7c-4cad-ae8b-bd63384df297.json b/data/hfopenllm_v2/jaspionjader/slu-34/050afa51-be7c-4cad-ae8b-bd63384df297.json
deleted file mode 100644
index 8875b7acb..000000000
--- a/data/hfopenllm_v2/jaspionjader/slu-34/050afa51-be7c-4cad-ae8b-bd63384df297.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_slu-34/1762652580.2749598",
-  "retrieved_timestamp": "1762652580.274961",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/slu-34",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/slu-34",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4350678422142138
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5077400809148992
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.09969788519637462
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30788590604026844
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3880416666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37200797872340424
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/slu-34/7b5eab2e-fba3-47d5-9839-02249c2568c5.json b/data/hfopenllm_v2/jaspionjader/slu-34/7b5eab2e-fba3-47d5-9839-02249c2568c5.json
new file mode 100644
index 000000000..53e4bfd25
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/slu-34/7b5eab2e-fba3-47d5-9839-02249c2568c5.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_slu-34/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "slu-34",
+    "id": "jaspionjader/slu-34",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4351
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5077
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0997
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3079
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.388
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.372
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/slu-35/0d7698b6-de52-4781-831f-a3ca8b23dd72.json b/data/hfopenllm_v2/jaspionjader/slu-35/0d7698b6-de52-4781-831f-a3ca8b23dd72.json
deleted file mode 100644
index e36dfec35..000000000
--- a/data/hfopenllm_v2/jaspionjader/slu-35/0d7698b6-de52-4781-831f-a3ca8b23dd72.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_slu-35/1762652580.275198",
-  "retrieved_timestamp": "1762652580.2752",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/slu-35",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/slu-35",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42417673993891764
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5103079759559944
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.10120845921450151
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.31208053691275167
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.39464583333333336
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3676030585106383
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/slu-35/2acee2c3-4322-4152-8151-c1d571475b7c.json b/data/hfopenllm_v2/jaspionjader/slu-35/2acee2c3-4322-4152-8151-c1d571475b7c.json
new file mode 100644
index 000000000..3720fab6c
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/slu-35/2acee2c3-4322-4152-8151-c1d571475b7c.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_slu-35/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "slu-35",
+    "id": "jaspionjader/slu-35",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4242
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5103
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1012
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3121
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3946
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3676
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/slu-36/67ffb2de-0410-44a2-aad7-4a32e2c49c7d.json b/data/hfopenllm_v2/jaspionjader/slu-36/67ffb2de-0410-44a2-aad7-4a32e2c49c7d.json
new file mode 100644
index 000000000..54b88f06a
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/slu-36/67ffb2de-0410-44a2-aad7-4a32e2c49c7d.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_slu-36/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "slu-36",
+    "id": "jaspionjader/slu-36",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4518
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5087
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0906
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3121
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3933
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3711
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/slu-36/cf85253f-0ecd-4943-a508-eab1e562a497.json b/data/hfopenllm_v2/jaspionjader/slu-36/cf85253f-0ecd-4943-a508-eab1e562a497.json
deleted file mode 100644
index aa2652b4e..000000000
--- a/data/hfopenllm_v2/jaspionjader/slu-36/cf85253f-0ecd-4943-a508-eab1e562a497.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_slu-36/1762652580.275441",
-  "retrieved_timestamp": "1762652580.275442",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/slu-36",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/slu-36",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4518289250300314
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5087352369131289
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.09063444108761329
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.31208053691275167
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3933125
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37109375
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/slu-37/2923aeb3-982f-400d-9588-707583c75a1d.json b/data/hfopenllm_v2/jaspionjader/slu-37/2923aeb3-982f-400d-9588-707583c75a1d.json
new file mode 100644
index 000000000..c1501c97b
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/slu-37/2923aeb3-982f-400d-9588-707583c75a1d.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_slu-37/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "slu-37",
+    "id": "jaspionjader/slu-37",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4534
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.51
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0974
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.307
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3946
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3695
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/slu-37/e64e5fe0-c726-4b9d-9d7b-952e7c7508ab.json b/data/hfopenllm_v2/jaspionjader/slu-37/e64e5fe0-c726-4b9d-9d7b-952e7c7508ab.json
deleted file mode 100644
index 6af7b9e08..000000000
--- a/data/hfopenllm_v2/jaspionjader/slu-37/e64e5fe0-c726-4b9d-9d7b-952e7c7508ab.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_slu-37/1762652580.2757561",
-  "retrieved_timestamp": "1762652580.275757",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/slu-37",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/slu-37",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4533526598314694
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5099854293096197
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.09743202416918428
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3070469798657718
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.39464583333333336
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3695146276595745
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/slu-6/0e1cd676-f95b-4562-8c5d-e932f148dc23.json b/data/hfopenllm_v2/jaspionjader/slu-6/0e1cd676-f95b-4562-8c5d-e932f148dc23.json
deleted file mode 100644
index 0ca141f1c..000000000
--- a/data/hfopenllm_v2/jaspionjader/slu-6/0e1cd676-f95b-4562-8c5d-e932f148dc23.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_slu-6/1762652580.276035",
-  "retrieved_timestamp": "1762652580.276036",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/slu-6",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/slu-6",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41166216749336204
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5098719666858446
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.09441087613293052
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3028523489932886
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4066458333333334
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3611203457446808
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/slu-6/b6a622da-5ce8-4ea5-a82a-f3a2a299ddf2.json b/data/hfopenllm_v2/jaspionjader/slu-6/b6a622da-5ce8-4ea5-a82a-f3a2a299ddf2.json
new file mode 100644
index 000000000..bdbe422b6
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/slu-6/b6a622da-5ce8-4ea5-a82a-f3a2a299ddf2.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_slu-6/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "slu-6",
+    "id": "jaspionjader/slu-6",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4117
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5099
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0944
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3029
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4066
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3611
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/slu-mix-1/3a8a175f-5173-491b-9acf-87fe781f16df.json b/data/hfopenllm_v2/jaspionjader/slu-mix-1/3a8a175f-5173-491b-9acf-87fe781f16df.json
deleted file mode 100644
index a75f885dc..000000000
--- a/data/hfopenllm_v2/jaspionjader/slu-mix-1/3a8a175f-5173-491b-9acf-87fe781f16df.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_slu-mix-1/1762652580.276264",
-  "retrieved_timestamp": "1762652580.276264",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/slu-mix-1",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/slu-mix-1",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.45689991444921696
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5240269525191525
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11178247734138973
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30033557046979864
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42766666666666664
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.39303523936170215
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/slu-mix-1/7b06ac17-bfc6-43d5-99e6-d2b7a31290fb.json b/data/hfopenllm_v2/jaspionjader/slu-mix-1/7b06ac17-bfc6-43d5-99e6-d2b7a31290fb.json
new file mode 100644
index 000000000..d2cd73f98
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/slu-mix-1/7b06ac17-bfc6-43d5-99e6-d2b7a31290fb.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_slu-mix-1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "slu-mix-1",
+    "id": "jaspionjader/slu-mix-1",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4569
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.524
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1118
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3003
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4277
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.393
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/sof-1/b1f4196a-0050-4107-a97b-4e1bd6ece17b.json b/data/hfopenllm_v2/jaspionjader/sof-1/b1f4196a-0050-4107-a97b-4e1bd6ece17b.json
deleted file mode 100644
index edade6aec..000000000
--- a/data/hfopenllm_v2/jaspionjader/sof-1/b1f4196a-0050-4107-a97b-4e1bd6ece17b.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_sof-1/1762652580.276484",
-  "retrieved_timestamp": "1762652580.2764852",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/sof-1",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/sof-1",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4313709845432342
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5009822733212669
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11404833836858005
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3028523489932886
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.40819791666666666
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.367436835106383
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/sof-1/fd481b93-55b2-4831-9be9-1b1b2886fda3.json b/data/hfopenllm_v2/jaspionjader/sof-1/fd481b93-55b2-4831-9be9-1b1b2886fda3.json
new file mode 100644
index 000000000..23e9adbfe
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/sof-1/fd481b93-55b2-4831-9be9-1b1b2886fda3.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_sof-1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "sof-1",
+    "id": "jaspionjader/sof-1",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4314
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.501
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.114
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3029
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4082
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3674
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/sof-10/03761253-711d-428d-a3bd-89974a50b490.json b/data/hfopenllm_v2/jaspionjader/sof-10/03761253-711d-428d-a3bd-89974a50b490.json
deleted file mode 100644
index 30815cdd1..000000000
--- a/data/hfopenllm_v2/jaspionjader/sof-10/03761253-711d-428d-a3bd-89974a50b490.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_sof-10/1762652580.276895",
-  "retrieved_timestamp": "1762652580.276897",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/sof-10",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/sof-10",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.46484328249045864
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5197177291754291
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.12386706948640483
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3062080536912752
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.40906250000000005
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.38738364361702127
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/sof-10/f159748f-234e-4962-b582-cd5805448f33.json b/data/hfopenllm_v2/jaspionjader/sof-10/f159748f-234e-4962-b582-cd5805448f33.json
new file mode 100644
index 000000000..a665ef820
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/sof-10/f159748f-234e-4962-b582-cd5805448f33.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_sof-10/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "sof-10",
+    "id": "jaspionjader/sof-10",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4648
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5197
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1239
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3062
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4091
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3874
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/sof-3/044d53dd-d134-4959-a70c-46f11cc0b300.json b/data/hfopenllm_v2/jaspionjader/sof-3/044d53dd-d134-4959-a70c-46f11cc0b300.json
new file mode 100644
index 000000000..02de1aae3
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/sof-3/044d53dd-d134-4959-a70c-46f11cc0b300.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_sof-3/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "sof-3",
+    "id": "jaspionjader/sof-3",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4637
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5206
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1276
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.297
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4131
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3812
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/sof-3/e5cd6a8b-88ed-4a0d-8584-889a4fde72a7.json b/data/hfopenllm_v2/jaspionjader/sof-3/e5cd6a8b-88ed-4a0d-8584-889a4fde72a7.json
deleted file mode 100644
index 957764216..000000000
--- a/data/hfopenllm_v2/jaspionjader/sof-3/e5cd6a8b-88ed-4a0d-8584-889a4fde72a7.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_sof-3/1762652580.277219",
-  "retrieved_timestamp": "1762652580.27722",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/sof-3",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/sof-3",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.46369410940748323
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5206072122413828
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.12764350453172205
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.29697986577181207
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41312499999999996
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3812333776595745
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/sof-6/0755b7f9-bdd7-4e2a-92da-6650934db265.json b/data/hfopenllm_v2/jaspionjader/sof-6/0755b7f9-bdd7-4e2a-92da-6650934db265.json
deleted file mode 100644
index d1ea7021c..000000000
--- a/data/hfopenllm_v2/jaspionjader/sof-6/0755b7f9-bdd7-4e2a-92da-6650934db265.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_sof-6/1762652580.277473",
-  "retrieved_timestamp": "1762652580.2774742",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/sof-6",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/sof-6",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4353925362482657
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5209098090521417
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1299093655589124
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.29949664429530204
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41706250000000006
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3843916223404255
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/sof-6/f05501fd-7c06-46d5-bc20-a9d0cc5c2e0f.json b/data/hfopenllm_v2/jaspionjader/sof-6/f05501fd-7c06-46d5-bc20-a9d0cc5c2e0f.json
new file mode 100644
index 000000000..f3a8226cf
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/sof-6/f05501fd-7c06-46d5-bc20-a9d0cc5c2e0f.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_sof-6/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "sof-6",
+    "id": "jaspionjader/sof-6",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4354
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5209
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1299
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2995
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4171
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3844
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/test-10/2bcc7f9a-9c36-487e-8522-bfbe1910b857.json b/data/hfopenllm_v2/jaspionjader/test-10/2bcc7f9a-9c36-487e-8522-bfbe1910b857.json
deleted file mode 100644
index 23da2c3fb..000000000
--- a/data/hfopenllm_v2/jaspionjader/test-10/2bcc7f9a-9c36-487e-8522-bfbe1910b857.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_test-10/1762652580.2777631",
-  "retrieved_timestamp": "1762652580.277764",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/test-10",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/test-10",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 4.015
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4578241288669619
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5316217442466934
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11404833836858005
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3196308724832215
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42509375
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.39361702127659576
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/test-10/5c44a2f2-23e3-4c9f-9b7c-9012ca8b15e9.json b/data/hfopenllm_v2/jaspionjader/test-10/5c44a2f2-23e3-4c9f-9b7c-9012ca8b15e9.json
new file mode 100644
index 000000000..6d72f6368
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/test-10/5c44a2f2-23e3-4c9f-9b7c-9012ca8b15e9.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_test-10/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "test-10",
+    "id": "jaspionjader/test-10",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 4.015
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4578
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5316
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.114
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3196
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4251
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3936
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/test-11/80e5134b-0733-41cc-8b4f-ef32fbe57066.json b/data/hfopenllm_v2/jaspionjader/test-11/80e5134b-0733-41cc-8b4f-ef32fbe57066.json
new file mode 100644
index 000000000..91ee0a934
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/test-11/80e5134b-0733-41cc-8b4f-ef32fbe57066.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_test-11/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "test-11",
+    "id": "jaspionjader/test-11",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 4.015
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4541
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.535
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1201
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3238
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.429
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3939
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/test-11/98f97092-7c95-46dd-94c7-4030f153d197.json b/data/hfopenllm_v2/jaspionjader/test-11/98f97092-7c95-46dd-94c7-4030f153d197.json
deleted file mode 100644
index 470e531b7..000000000
--- a/data/hfopenllm_v2/jaspionjader/test-11/98f97092-7c95-46dd-94c7-4030f153d197.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_test-11/1762652580.2779882",
-  "retrieved_timestamp": "1762652580.2779891",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/test-11",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/test-11",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 4.015
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.45412727119598223
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5350048053167004
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.12009063444108761
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3238255033557047
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.429
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3939494680851064
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/test-12/61123e41-7b2a-40da-9f7f-b830c27d7f12.json b/data/hfopenllm_v2/jaspionjader/test-12/61123e41-7b2a-40da-9f7f-b830c27d7f12.json
new file mode 100644
index 000000000..f704e5a09
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/test-12/61123e41-7b2a-40da-9f7f-b830c27d7f12.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_test-12/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "test-12",
+    "id": "jaspionjader/test-12",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 4.015
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4368
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5347
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.108
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3188
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.425
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3935
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/test-12/e49c9cc8-96ff-4a3c-b7b4-ea5562f41449.json b/data/hfopenllm_v2/jaspionjader/test-12/e49c9cc8-96ff-4a3c-b7b4-ea5562f41449.json
deleted file mode 100644
index f058fc473..000000000
--- a/data/hfopenllm_v2/jaspionjader/test-12/e49c9cc8-96ff-4a3c-b7b4-ea5562f41449.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_test-12/1762652580.278201",
-  "retrieved_timestamp": "1762652580.278202",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/test-12",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/test-12",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 4.015
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5347063686599355
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.10800604229607251
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3187919463087248
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42503124999999997
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3935339095744681
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/test-13/98772920-a700-4fda-88fd-53c16ac4b1a1.json b/data/hfopenllm_v2/jaspionjader/test-13/98772920-a700-4fda-88fd-53c16ac4b1a1.json
deleted file mode 100644
index 66fec61ae..000000000
--- a/data/hfopenllm_v2/jaspionjader/test-13/98772920-a700-4fda-88fd-53c16ac4b1a1.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_test-13/1762652580.278408",
-  "retrieved_timestamp": "1762652580.278409",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/test-13",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/test-13",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 4.015
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.531808681066841
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
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-        "score_type": "continuous",
-        "min_score": 0,
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-    {
-      "evaluation_name": "GPQA",
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-        "evaluation_description": "Accuracy on GPQA",
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-    {
-      "evaluation_name": "MUSR",
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-        "evaluation_description": "Accuracy on MUSR",
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-      "score_details": {
-        "score": 0.4263958333333333
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-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
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-      "score_details": {
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/test-13/b93c31d7-54c3-47b9-a267-3f8fdb796805.json b/data/hfopenllm_v2/jaspionjader/test-13/b93c31d7-54c3-47b9-a267-3f8fdb796805.json
new file mode 100644
index 000000000..d5aea42d0
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/test-13/b93c31d7-54c3-47b9-a267-3f8fdb796805.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_test-13/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "test-13",
+    "id": "jaspionjader/test-13",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 4.015
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4581
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5318
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1057
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3163
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4264
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3935
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/test-14/b3eaa4c5-7abc-4e2d-9c11-c70ecb8a843b.json b/data/hfopenllm_v2/jaspionjader/test-14/b3eaa4c5-7abc-4e2d-9c11-c70ecb8a843b.json
new file mode 100644
index 000000000..d1c730295
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/test-14/b3eaa4c5-7abc-4e2d-9c11-c70ecb8a843b.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_test-14/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "test-14",
+    "id": "jaspionjader/test-14",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 4.015
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4444
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5323
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1103
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3146
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4317
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.393
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/test-14/d647b482-3d3b-4ed4-b8b5-d57eedf87db9.json b/data/hfopenllm_v2/jaspionjader/test-14/d647b482-3d3b-4ed4-b8b5-d57eedf87db9.json
deleted file mode 100644
index 66c797ab8..000000000
--- a/data/hfopenllm_v2/jaspionjader/test-14/d647b482-3d3b-4ed4-b8b5-d57eedf87db9.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_test-14/1762652580.2787268",
-  "retrieved_timestamp": "1762652580.278728",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/test-14",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/test-14",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 4.015
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4443853420036614
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5322932549151301
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11027190332326284
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3145973154362416
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4316979166666666
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3929521276595745
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/test-15/3b06f75e-3d22-4428-8d4f-2e704b96961e.json b/data/hfopenllm_v2/jaspionjader/test-15/3b06f75e-3d22-4428-8d4f-2e704b96961e.json
new file mode 100644
index 000000000..1f7a65dff
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/test-15/3b06f75e-3d22-4428-8d4f-2e704b96961e.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_test-15/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "test-15",
+    "id": "jaspionjader/test-15",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 4.015
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4365
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5328
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1118
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3121
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4264
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.393
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/test-15/f197c7ce-c30a-49ad-bd6c-9571d3b25637.json b/data/hfopenllm_v2/jaspionjader/test-15/f197c7ce-c30a-49ad-bd6c-9571d3b25637.json
deleted file mode 100644
index b9b074c40..000000000
--- a/data/hfopenllm_v2/jaspionjader/test-15/f197c7ce-c30a-49ad-bd6c-9571d3b25637.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_test-15/1762652580.278964",
-  "retrieved_timestamp": "1762652580.278965",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/test-15",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/test-15",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 4.015
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    {
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-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.53278841091336
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11178247734138973
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-    },
-    {
-      "evaluation_name": "GPQA",
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-        "min_score": 0,
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4264270833333333
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3929521276595745
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/test-16/80c756a7-9d47-4b49-bf42-bbada0909163.json b/data/hfopenllm_v2/jaspionjader/test-16/80c756a7-9d47-4b49-bf42-bbada0909163.json
deleted file mode 100644
index 3f7eadfe3..000000000
--- a/data/hfopenllm_v2/jaspionjader/test-16/80c756a7-9d47-4b49-bf42-bbada0909163.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_test-16/1762652580.279189",
-  "retrieved_timestamp": "1762652580.27919",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/test-16",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/test-16",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 4.015
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-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
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diff --git a/data/hfopenllm_v2/jaspionjader/test-16/dfda4aab-f8d4-49ee-b141-78539b69007c.json b/data/hfopenllm_v2/jaspionjader/test-16/dfda4aab-f8d4-49ee-b141-78539b69007c.json
new file mode 100644
index 000000000..e35aa96fb
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/test-16/dfda4aab-f8d4-49ee-b141-78539b69007c.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_test-16/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "test-16",
+    "id": "jaspionjader/test-16",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 4.015
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4599
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.533
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1095
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3138
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4225
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.393
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/test-17/690f3c19-c148-458d-b4c5-87761d72b851.json b/data/hfopenllm_v2/jaspionjader/test-17/690f3c19-c148-458d-b4c5-87761d72b851.json
new file mode 100644
index 000000000..ecdd22a51
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/test-17/690f3c19-c148-458d-b4c5-87761d72b851.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_test-17/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "test-17",
+    "id": "jaspionjader/test-17",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 4.015
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4267
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5329
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1103
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3129
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.429
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3929
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/test-17/c9933c3d-98ab-4486-bd42-7c90f5ed3bd2.json b/data/hfopenllm_v2/jaspionjader/test-17/c9933c3d-98ab-4486-bd42-7c90f5ed3bd2.json
deleted file mode 100644
index 804ab2ff4..000000000
--- a/data/hfopenllm_v2/jaspionjader/test-17/c9933c3d-98ab-4486-bd42-7c90f5ed3bd2.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_test-17/1762652580.279401",
-  "retrieved_timestamp": "1762652580.279402",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/test-17",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/test-17",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 4.015
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
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-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5329373895863633
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
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-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.429
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.39286901595744683
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/test-18/3f3eeca1-d401-436e-b7e6-5fa82c099270.json b/data/hfopenllm_v2/jaspionjader/test-18/3f3eeca1-d401-436e-b7e6-5fa82c099270.json
deleted file mode 100644
index 1e5b475a3..000000000
--- a/data/hfopenllm_v2/jaspionjader/test-18/3f3eeca1-d401-436e-b7e6-5fa82c099270.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_test-18/1762652580.2796118",
-  "retrieved_timestamp": "1762652580.279613",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/test-18",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/test-18",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
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-        "max_score": 1
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.31208053691275167
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42506249999999995
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.39303523936170215
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/test-18/b6a18246-776d-463f-80d5-140df74e9704.json b/data/hfopenllm_v2/jaspionjader/test-18/b6a18246-776d-463f-80d5-140df74e9704.json
new file mode 100644
index 000000000..ae471a895
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/test-18/b6a18246-776d-463f-80d5-140df74e9704.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_test-18/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "test-18",
+    "id": "jaspionjader/test-18",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4392
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5317
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1148
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3121
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4251
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.393
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/test-19/9831abdc-ad08-48c0-8384-86240e7350b5.json b/data/hfopenllm_v2/jaspionjader/test-19/9831abdc-ad08-48c0-8384-86240e7350b5.json
new file mode 100644
index 000000000..acc7c5b32
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/test-19/9831abdc-ad08-48c0-8384-86240e7350b5.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_test-19/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "test-19",
+    "id": "jaspionjader/test-19",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4401
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+    },
+    {
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+      "source_data": {
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+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3096
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4264
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3929
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jaspionjader/test-19/ab7e0f6c-bca9-4f83-a4a0-5014c46e0512.json b/data/hfopenllm_v2/jaspionjader/test-19/ab7e0f6c-bca9-4f83-a4a0-5014c46e0512.json
deleted file mode 100644
index da634f6d0..000000000
--- a/data/hfopenllm_v2/jaspionjader/test-19/ab7e0f6c-bca9-4f83-a4a0-5014c46e0512.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_test-19/1762652580.279826",
-  "retrieved_timestamp": "1762652580.2798269",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jaspionjader/test-19",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/test-19",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    {
-      "evaluation_name": "BBH",
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-        "lower_is_better": false,
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-        "min_score": 0,
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-    },
-    {
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-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4263958333333333
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.39286901595744683
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/test-20/6391f921-4de7-4e83-8bb2-8d0ef0b58d8f.json b/data/hfopenllm_v2/jaspionjader/test-20/6391f921-4de7-4e83-8bb2-8d0ef0b58d8f.json
deleted file mode 100644
index 63005b07f..000000000
--- a/data/hfopenllm_v2/jaspionjader/test-20/6391f921-4de7-4e83-8bb2-8d0ef0b58d8f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jaspionjader_test-20/1762652580.2800388",
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-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
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-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
-    "name": "jaspionjader/test-20",
-    "developer": "jaspionjader",
-    "inference_platform": "unknown",
-    "id": "jaspionjader/test-20",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
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-    },
-    {
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-        "lower_is_better": false,
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-    },
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-    },
-    {
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-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42506249999999995
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.39195478723404253
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jaspionjader/test-20/96a572e5-4751-46ce-9202-deb223ef4dfe.json b/data/hfopenllm_v2/jaspionjader/test-20/96a572e5-4751-46ce-9202-deb223ef4dfe.json
new file mode 100644
index 000000000..98974db50
--- /dev/null
+++ b/data/hfopenllm_v2/jaspionjader/test-20/96a572e5-4751-46ce-9202-deb223ef4dfe.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jaspionjader_test-20/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "test-20",
+    "id": "jaspionjader/test-20",
+    "developer": "jaspionjader",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4529
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+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5327
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+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1118
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3138
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4251
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.392
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jayasuryajsk/Qwen2.5-3B-reasoner/f4320b1e-ea4f-4aea-8dab-cdb221ce53e5.json b/data/hfopenllm_v2/jayasuryajsk/Qwen2.5-3B-reasoner/f4320b1e-ea4f-4aea-8dab-cdb221ce53e5.json
new file mode 100644
index 000000000..b9587c6d6
--- /dev/null
+++ b/data/hfopenllm_v2/jayasuryajsk/Qwen2.5-3B-reasoner/f4320b1e-ea4f-4aea-8dab-cdb221ce53e5.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jayasuryajsk_Qwen2.5-3B-reasoner/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-3B-reasoner",
+    "id": "jayasuryajsk/Qwen2.5-3B-reasoner",
+    "developer": "jayasuryajsk",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 3.086
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.416
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4651
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2085
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.302
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4123
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3482
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jeanmichela/o-distil-qwen/8376c0bf-f9c3-4529-b13c-c57106182d15.json b/data/hfopenllm_v2/jeanmichela/o-distil-qwen/8376c0bf-f9c3-4529-b13c-c57106182d15.json
new file mode 100644
index 000000000..214d189b4
--- /dev/null
+++ b/data/hfopenllm_v2/jeanmichela/o-distil-qwen/8376c0bf-f9c3-4529-b13c-c57106182d15.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jeanmichela_o-distil-qwen/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "o-distil-qwen",
+    "id": "jeanmichela/o-distil-qwen",
+    "developer": "jeanmichela",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.77
+    }
+  },
+  "evaluation_results": [
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4482
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.59
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.565
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3935
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.534
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4658
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jebcarter/psyonic-cetacean-20B/97a80145-e621-4603-8ff8-2cc4bd74190a.json b/data/hfopenllm_v2/jebcarter/psyonic-cetacean-20B/97a80145-e621-4603-8ff8-2cc4bd74190a.json
new file mode 100644
index 000000000..bb13bcad2
--- /dev/null
+++ b/data/hfopenllm_v2/jebcarter/psyonic-cetacean-20B/97a80145-e621-4603-8ff8-2cc4bd74190a.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jebcarter_psyonic-cetacean-20B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "psyonic-cetacean-20B",
+    "id": "jebcarter/psyonic-cetacean-20B",
+    "developer": "jebcarter",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 19.994
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
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+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2544
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4907
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+    },
+    {
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+      "source_data": {
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+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2735
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4661
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2886
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jebcarter/psyonic-cetacean-20B/f8461982-37ad-4975-8445-996bdc9e59ce.json b/data/hfopenllm_v2/jebcarter/psyonic-cetacean-20B/f8461982-37ad-4975-8445-996bdc9e59ce.json
deleted file mode 100644
index 877f82758..000000000
--- a/data/hfopenllm_v2/jebcarter/psyonic-cetacean-20B/f8461982-37ad-4975-8445-996bdc9e59ce.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jebcarter_psyonic-cetacean-20B/1762652580.2807941",
-  "retrieved_timestamp": "1762652580.2807949",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jebcarter/psyonic-cetacean-20B",
-    "developer": "jebcarter",
-    "inference_platform": "unknown",
-    "id": "jebcarter/psyonic-cetacean-20B",
-    "additional_details": {
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-      "architecture": "LlamaForCausalLM",
-      "params_billions": 19.994
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-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
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-    },
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-      },
-      "score_details": {
-        "score": 0.4907386156835858
-      }
-    },
-    {
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-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-      "score_details": {
-        "score": 0.01812688821752266
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-    },
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-        "lower_is_better": false,
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-        "min_score": 0,
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-      },
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-    },
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.46611458333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.28856382978723405
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jebish7/Llama-3-Nanda-10B-Chat/739c83a9-8ff7-48df-af0c-494891df487b.json b/data/hfopenllm_v2/jebish7/Llama-3-Nanda-10B-Chat/739c83a9-8ff7-48df-af0c-494891df487b.json
deleted file mode 100644
index 6c70823e5..000000000
--- a/data/hfopenllm_v2/jebish7/Llama-3-Nanda-10B-Chat/739c83a9-8ff7-48df-af0c-494891df487b.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jebish7_Llama-3-Nanda-10B-Chat/1762652580.28106",
-  "retrieved_timestamp": "1762652580.2810612",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jebish7/Llama-3-Nanda-10B-Chat",
-    "developer": "jebish7",
-    "inference_platform": "unknown",
-    "id": "jebish7/Llama-3-Nanda-10B-Chat",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 9.985
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
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-        "score_type": "continuous",
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-        "max_score": 1
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-    {
-      "evaluation_name": "MATH Level 5",
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-        "score_type": "continuous",
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-    },
-    {
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-        "score_type": "continuous",
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-        "max_score": 1
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-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4356041666666666
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3156582446808511
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jebish7/Llama-3-Nanda-10B-Chat/99a7881c-cca0-43d6-96f5-ce5292ed60a0.json b/data/hfopenllm_v2/jebish7/Llama-3-Nanda-10B-Chat/99a7881c-cca0-43d6-96f5-ce5292ed60a0.json
new file mode 100644
index 000000000..f63ea2032
--- /dev/null
+++ b/data/hfopenllm_v2/jebish7/Llama-3-Nanda-10B-Chat/99a7881c-cca0-43d6-96f5-ce5292ed60a0.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jebish7_Llama-3-Nanda-10B-Chat/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-3-Nanda-10B-Chat",
+    "id": "jebish7/Llama-3-Nanda-10B-Chat",
+    "developer": "jebish7",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 9.985
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2953
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+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4959
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0559
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3012
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4356
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+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3157
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jebish7/Llama-3.1-8B-Instruct/60ca8f7e-1c20-4adb-bb84-892bad3c0d63.json b/data/hfopenllm_v2/jebish7/Llama-3.1-8B-Instruct/60ca8f7e-1c20-4adb-bb84-892bad3c0d63.json
new file mode 100644
index 000000000..d88b01af6
--- /dev/null
+++ b/data/hfopenllm_v2/jebish7/Llama-3.1-8B-Instruct/60ca8f7e-1c20-4adb-bb84-892bad3c0d63.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jebish7_Llama-3.1-8B-Instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-3.1-8B-Instruct",
+    "id": "jebish7/Llama-3.1-8B-Instruct",
+    "developer": "jebish7",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
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+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5058
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5088
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1548
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3213
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3998
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3777
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jebish7/Llama-3.1-8B-Instruct/cc65b968-d766-4825-85cd-c36872eb1986.json b/data/hfopenllm_v2/jebish7/Llama-3.1-8B-Instruct/cc65b968-d766-4825-85cd-c36872eb1986.json
deleted file mode 100644
index e48974a50..000000000
--- a/data/hfopenllm_v2/jebish7/Llama-3.1-8B-Instruct/cc65b968-d766-4825-85cd-c36872eb1986.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jebish7_Llama-3.1-8B-Instruct/1762652580.281322",
-  "retrieved_timestamp": "1762652580.281322",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jebish7/Llama-3.1-8B-Instruct",
-    "developer": "jebish7",
-    "inference_platform": "unknown",
-    "id": "jebish7/Llama-3.1-8B-Instruct",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5058345190760515
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5088388495224864
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.15483383685800603
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3213087248322148
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3997916666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3777426861702128
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jebish7/Nemotron-4-Mini-Hindi-4B-Base/4a0f8dc7-9446-4dda-bf49-8cca4851746c.json b/data/hfopenllm_v2/jebish7/Nemotron-4-Mini-Hindi-4B-Base/4a0f8dc7-9446-4dda-bf49-8cca4851746c.json
new file mode 100644
index 000000000..9ffd03cf9
--- /dev/null
+++ b/data/hfopenllm_v2/jebish7/Nemotron-4-Mini-Hindi-4B-Base/4a0f8dc7-9446-4dda-bf49-8cca4851746c.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jebish7_Nemotron-4-Mini-Hindi-4B-Base/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Nemotron-4-Mini-Hindi-4B-Base",
+    "id": "jebish7/Nemotron-4-Mini-Hindi-4B-Base",
+    "developer": "jebish7",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "NemotronForCausalLM",
+      "params_billions": 4.191
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2285
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3924
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0272
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2836
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4249
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2503
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jebish7/Nemotron-4-Mini-Hindi-4B-Base/70097d1f-8c48-49ab-b285-eebe2c85628e.json b/data/hfopenllm_v2/jebish7/Nemotron-4-Mini-Hindi-4B-Base/70097d1f-8c48-49ab-b285-eebe2c85628e.json
deleted file mode 100644
index 165b9f5c6..000000000
--- a/data/hfopenllm_v2/jebish7/Nemotron-4-Mini-Hindi-4B-Base/70097d1f-8c48-49ab-b285-eebe2c85628e.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jebish7_Nemotron-4-Mini-Hindi-4B-Base/1762652580.2815292",
-  "retrieved_timestamp": "1762652580.2815301",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jebish7/Nemotron-4-Mini-Hindi-4B-Base",
-    "developer": "jebish7",
-    "inference_platform": "unknown",
-    "id": "jebish7/Nemotron-4-Mini-Hindi-4B-Base",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "NemotronForCausalLM",
-      "params_billions": 4.191
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.22848818911599
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3923566745600671
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.027190332326283987
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2835570469798658
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42490625
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.25033244680851063
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jebish7/Nemotron-4-Mini-Hindi-4B-Instruct/6eb3a040-8234-4d31-8274-6987b0e4e3b4.json b/data/hfopenllm_v2/jebish7/Nemotron-4-Mini-Hindi-4B-Instruct/6eb3a040-8234-4d31-8274-6987b0e4e3b4.json
new file mode 100644
index 000000000..bd15b91c4
--- /dev/null
+++ b/data/hfopenllm_v2/jebish7/Nemotron-4-Mini-Hindi-4B-Instruct/6eb3a040-8234-4d31-8274-6987b0e4e3b4.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jebish7_Nemotron-4-Mini-Hindi-4B-Instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Nemotron-4-Mini-Hindi-4B-Instruct",
+    "id": "jebish7/Nemotron-4-Mini-Hindi-4B-Instruct",
+    "developer": "jebish7",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "NemotronForCausalLM",
+      "params_billions": 4.191
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3345
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4041
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0287
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3087
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4153
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2595
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jebish7/Nemotron-4-Mini-Hindi-4B-Instruct/e108df0b-a1ce-4c07-b683-6d3b33fd3988.json b/data/hfopenllm_v2/jebish7/Nemotron-4-Mini-Hindi-4B-Instruct/e108df0b-a1ce-4c07-b683-6d3b33fd3988.json
deleted file mode 100644
index e3dba69dd..000000000
--- a/data/hfopenllm_v2/jebish7/Nemotron-4-Mini-Hindi-4B-Instruct/e108df0b-a1ce-4c07-b683-6d3b33fd3988.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jebish7_Nemotron-4-Mini-Hindi-4B-Instruct/1762652580.2817988",
-  "retrieved_timestamp": "1762652580.2818",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jebish7/Nemotron-4-Mini-Hindi-4B-Instruct",
-    "developer": "jebish7",
-    "inference_platform": "unknown",
-    "id": "jebish7/Nemotron-4-Mini-Hindi-4B-Instruct",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "NemotronForCausalLM",
-      "params_billions": 4.191
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3345257250761313
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4040596055988545
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.028700906344410877
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3087248322147651
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41529166666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      }
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-}
diff --git a/data/hfopenllm_v2/jebish7/Nemotron-Mini-4B-Instruct/16053077-38fd-4136-81a5-fea0d4cd927a.json b/data/hfopenllm_v2/jebish7/Nemotron-Mini-4B-Instruct/16053077-38fd-4136-81a5-fea0d4cd927a.json
new file mode 100644
index 000000000..b0a9fe425
--- /dev/null
+++ b/data/hfopenllm_v2/jebish7/Nemotron-Mini-4B-Instruct/16053077-38fd-4136-81a5-fea0d4cd927a.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jebish7_Nemotron-Mini-4B-Instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Nemotron-Mini-4B-Instruct",
+    "id": "jebish7/Nemotron-Mini-4B-Instruct",
+    "developer": "jebish7",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "NemotronForCausalLM",
+      "params_billions": 4.191
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3709
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4244
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0325
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.276
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4727
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2783
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jebish7/Nemotron-Mini-4B-Instruct/77bd2442-4004-48cb-ba45-eeb1ffec2a39.json b/data/hfopenllm_v2/jebish7/Nemotron-Mini-4B-Instruct/77bd2442-4004-48cb-ba45-eeb1ffec2a39.json
deleted file mode 100644
index 7dbe660ff..000000000
--- a/data/hfopenllm_v2/jebish7/Nemotron-Mini-4B-Instruct/77bd2442-4004-48cb-ba45-eeb1ffec2a39.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jebish7_Nemotron-Mini-4B-Instruct/1762652580.282024",
-  "retrieved_timestamp": "1762652580.282024",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jebish7/Nemotron-Mini-4B-Instruct",
-    "developer": "jebish7",
-    "inference_platform": "unknown",
-    "id": "jebish7/Nemotron-Mini-4B-Instruct",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "NemotronForCausalLM",
-      "params_billions": 4.191
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37092026932982264
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4244475437312765
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.0324773413897281
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.276006711409396
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.47271875
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.27825797872340424
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jebish7/aya-expanse-8b/25abb99f-536e-4638-8611-a1db5dee931d.json b/data/hfopenllm_v2/jebish7/aya-expanse-8b/25abb99f-536e-4638-8611-a1db5dee931d.json
new file mode 100644
index 000000000..d66b00bb7
--- /dev/null
+++ b/data/hfopenllm_v2/jebish7/aya-expanse-8b/25abb99f-536e-4638-8611-a1db5dee931d.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jebish7_aya-expanse-8b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "aya-expanse-8b",
+    "id": "jebish7/aya-expanse-8b",
+    "developer": "jebish7",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "CohereForCausalLM",
+      "params_billions": 8.028
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3791
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4969
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0816
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2836
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3869
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3103
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jebish7/aya-expanse-8b/70f2cb5c-feb3-44ac-9346-7ff60137e1c7.json b/data/hfopenllm_v2/jebish7/aya-expanse-8b/70f2cb5c-feb3-44ac-9346-7ff60137e1c7.json
deleted file mode 100644
index e4cce7e5b..000000000
--- a/data/hfopenllm_v2/jebish7/aya-expanse-8b/70f2cb5c-feb3-44ac-9346-7ff60137e1c7.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jebish7_aya-expanse-8b/1762652580.282242",
-  "retrieved_timestamp": "1762652580.282243",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jebish7/aya-expanse-8b",
-    "developer": "jebish7",
-    "inference_platform": "unknown",
-    "id": "jebish7/aya-expanse-8b",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "CohereForCausalLM",
-      "params_billions": 8.028
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37911408396388246
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.496904421264497
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.08157099697885196
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2835570469798658
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3868958333333334
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.31025598404255317
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jebish7/gemma-2-2b-it/aaf0e5bd-b033-455e-bb23-b12b6f7c4520.json b/data/hfopenllm_v2/jebish7/gemma-2-2b-it/aaf0e5bd-b033-455e-bb23-b12b6f7c4520.json
new file mode 100644
index 000000000..d43d0aaca
--- /dev/null
+++ b/data/hfopenllm_v2/jebish7/gemma-2-2b-it/aaf0e5bd-b033-455e-bb23-b12b6f7c4520.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jebish7_gemma-2-2b-it/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "gemma-2-2b-it",
+    "id": "jebish7/gemma-2-2b-it",
+    "developer": "jebish7",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Gemma2ForCausalLM",
+      "params_billions": 2.614
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1272
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4395
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.034
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
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diff --git a/data/hfopenllm_v2/jebish7/gemma-2-9b-it/b3a46478-c5f4-4c74-9bf0-d1ba616ae24c.json b/data/hfopenllm_v2/jebish7/gemma-2-9b-it/b3a46478-c5f4-4c74-9bf0-d1ba616ae24c.json
new file mode 100644
index 000000000..2343609a8
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+++ b/data/hfopenllm_v2/jebish7/gemma-2-9b-it/b3a46478-c5f4-4c74-9bf0-d1ba616ae24c.json
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diff --git a/data/hfopenllm_v2/jebish7/qwen2.5-0.5B-IHA-Hin/169fb05f-5201-47b8-a06e-7d01e574c689.json b/data/hfopenllm_v2/jebish7/qwen2.5-0.5B-IHA-Hin/169fb05f-5201-47b8-a06e-7d01e574c689.json
new file mode 100644
index 000000000..8d24c633c
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+++ b/data/hfopenllm_v2/jebish7/qwen2.5-0.5B-IHA-Hin/169fb05f-5201-47b8-a06e-7d01e574c689.json
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/jeffmeloy/Qwen-7B-nerd-uncensored-v1.0/db076309-32e5-4d46-9786-ff14f8daf5d2.json b/data/hfopenllm_v2/jeffmeloy/Qwen-7B-nerd-uncensored-v1.0/db076309-32e5-4d46-9786-ff14f8daf5d2.json
new file mode 100644
index 000000000..88151c7d8
--- /dev/null
+++ b/data/hfopenllm_v2/jeffmeloy/Qwen-7B-nerd-uncensored-v1.0/db076309-32e5-4d46-9786-ff14f8daf5d2.json
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/jeffmeloy/Qwen2.5-7B-minperplexity-2/cde914dc-7d57-425f-9787-e4b8d36d61cf.json b/data/hfopenllm_v2/jeffmeloy/Qwen2.5-7B-minperplexity-2/cde914dc-7d57-425f-9787-e4b8d36d61cf.json
new file mode 100644
index 000000000..470df5e03
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@@ -0,0 +1,132 @@
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jeffmeloy/Qwen2.5-7B-nerd-uncensored-v0.9/5d793ce3-a7fd-4ee3-b32c-c9da63ec0566.json b/data/hfopenllm_v2/jeffmeloy/Qwen2.5-7B-nerd-uncensored-v0.9/5d793ce3-a7fd-4ee3-b32c-c9da63ec0566.json
new file mode 100644
index 000000000..b70182eb1
--- /dev/null
+++ b/data/hfopenllm_v2/jeffmeloy/Qwen2.5-7B-nerd-uncensored-v0.9/5d793ce3-a7fd-4ee3-b32c-c9da63ec0566.json
@@ -0,0 +1,132 @@
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diff --git a/data/hfopenllm_v2/jeffmeloy/Qwen2.5-7B-nerd-uncensored-v1.0/8c645c9f-02f6-44a5-b295-d6364ed49464.json b/data/hfopenllm_v2/jeffmeloy/Qwen2.5-7B-nerd-uncensored-v1.0/8c645c9f-02f6-44a5-b295-d6364ed49464.json
new file mode 100644
index 000000000..5f5c44741
--- /dev/null
+++ b/data/hfopenllm_v2/jeffmeloy/Qwen2.5-7B-nerd-uncensored-v1.0/8c645c9f-02f6-44a5-b295-d6364ed49464.json
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diff --git a/data/hfopenllm_v2/jeffmeloy/Qwen2.5-7B-nerd-uncensored-v1.1/97bb5519-e2d3-44d5-abf4-b5263c2b3245.json b/data/hfopenllm_v2/jeffmeloy/Qwen2.5-7B-nerd-uncensored-v1.1/97bb5519-e2d3-44d5-abf4-b5263c2b3245.json
new file mode 100644
index 000000000..87afc83a8
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/jeffmeloy/Qwen2.5-7B-nerd-uncensored-v1.2/bd3d78d3-3ff1-4a92-a316-e4e30787a331.json b/data/hfopenllm_v2/jeffmeloy/Qwen2.5-7B-nerd-uncensored-v1.2/bd3d78d3-3ff1-4a92-a316-e4e30787a331.json
new file mode 100644
index 000000000..edab0f5d7
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/jeffmeloy/Qwen2.5-7B-nerd-uncensored-v1.3/d8951ed7-f4ef-49ce-891e-8d8509e9cf93.json b/data/hfopenllm_v2/jeffmeloy/Qwen2.5-7B-nerd-uncensored-v1.3/d8951ed7-f4ef-49ce-891e-8d8509e9cf93.json
new file mode 100644
index 000000000..ae6f30f79
--- /dev/null
+++ b/data/hfopenllm_v2/jeffmeloy/Qwen2.5-7B-nerd-uncensored-v1.3/d8951ed7-f4ef-49ce-891e-8d8509e9cf93.json
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diff --git a/data/hfopenllm_v2/jeffmeloy/Qwen2.5-7B-nerd-uncensored-v1.4/e1772d6c-fd26-43a7-82b3-7997d8a6809f.json b/data/hfopenllm_v2/jeffmeloy/Qwen2.5-7B-nerd-uncensored-v1.4/e1772d6c-fd26-43a7-82b3-7997d8a6809f.json
new file mode 100644
index 000000000..130b5f1a1
--- /dev/null
+++ b/data/hfopenllm_v2/jeffmeloy/Qwen2.5-7B-nerd-uncensored-v1.4/e1772d6c-fd26-43a7-82b3-7997d8a6809f.json
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diff --git a/data/hfopenllm_v2/jeffmeloy/Qwen2.5-7B-nerd-uncensored-v1.5/febaf893-6aaf-4c87-89fc-cc865ebf2859.json b/data/hfopenllm_v2/jeffmeloy/Qwen2.5-7B-nerd-uncensored-v1.5/febaf893-6aaf-4c87-89fc-cc865ebf2859.json
new file mode 100644
index 000000000..41e373c25
--- /dev/null
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/jeffmeloy/Qwen2.5-7B-nerd-uncensored-v1.7/0ad591f4-c846-4fd1-8536-a169e0a7e4ab.json b/data/hfopenllm_v2/jeffmeloy/Qwen2.5-7B-nerd-uncensored-v1.7/0ad591f4-c846-4fd1-8536-a169e0a7e4ab.json
new file mode 100644
index 000000000..adea07aff
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+++ b/data/hfopenllm_v2/jeffmeloy/Qwen2.5-7B-nerd-uncensored-v1.7/0ad591f4-c846-4fd1-8536-a169e0a7e4ab.json
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/jeffmeloy/Qwen2.5-7B-nerd-uncensored-v1.8/0a318ebd-7bbb-456b-a6e4-9b480a858b5e.json b/data/hfopenllm_v2/jeffmeloy/Qwen2.5-7B-nerd-uncensored-v1.8/0a318ebd-7bbb-456b-a6e4-9b480a858b5e.json
new file mode 100644
index 000000000..b0715c0fe
--- /dev/null
+++ b/data/hfopenllm_v2/jeffmeloy/Qwen2.5-7B-nerd-uncensored-v1.8/0a318ebd-7bbb-456b-a6e4-9b480a858b5e.json
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jeffmeloy/Qwen2.5-7B-olm-v1.0/e1cfdc32-3c5e-4f4b-a205-f416c96cf5e6.json b/data/hfopenllm_v2/jeffmeloy/Qwen2.5-7B-olm-v1.0/e1cfdc32-3c5e-4f4b-a205-f416c96cf5e6.json
new file mode 100644
index 000000000..ff3474fac
--- /dev/null
+++ b/data/hfopenllm_v2/jeffmeloy/Qwen2.5-7B-olm-v1.0/e1cfdc32-3c5e-4f4b-a205-f416c96cf5e6.json
@@ -0,0 +1,132 @@
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/jeffmeloy/Qwen2.5-7B-olm-v1.1/85426280-8138-46d0-a111-b59b0d7c86c8.json b/data/hfopenllm_v2/jeffmeloy/Qwen2.5-7B-olm-v1.1/85426280-8138-46d0-a111-b59b0d7c86c8.json
new file mode 100644
index 000000000..9cbcd9f74
--- /dev/null
+++ b/data/hfopenllm_v2/jeffmeloy/Qwen2.5-7B-olm-v1.1/85426280-8138-46d0-a111-b59b0d7c86c8.json
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/jeffmeloy/Qwen2.5-7B-olm-v1.2/32bbd26e-05e7-4a0f-a491-8f54cea9f3d3.json b/data/hfopenllm_v2/jeffmeloy/Qwen2.5-7B-olm-v1.2/32bbd26e-05e7-4a0f-a491-8f54cea9f3d3.json
new file mode 100644
index 000000000..ed920c47e
--- /dev/null
+++ b/data/hfopenllm_v2/jeffmeloy/Qwen2.5-7B-olm-v1.2/32bbd26e-05e7-4a0f-a491-8f54cea9f3d3.json
@@ -0,0 +1,132 @@
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/jeffmeloy/Qwen2.5-7B-olm-v1.3/86ed6833-ae85-4a8e-b840-b0c9540083ce.json b/data/hfopenllm_v2/jeffmeloy/Qwen2.5-7B-olm-v1.3/86ed6833-ae85-4a8e-b840-b0c9540083ce.json
new file mode 100644
index 000000000..c0cbb0d3b
--- /dev/null
+++ b/data/hfopenllm_v2/jeffmeloy/Qwen2.5-7B-olm-v1.3/86ed6833-ae85-4a8e-b840-b0c9540083ce.json
@@ -0,0 +1,132 @@
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jeffmeloy/Qwen2.5-7B-olm-v1.4/2f751ac3-5ca5-4d0d-9ad4-48155e51468a.json b/data/hfopenllm_v2/jeffmeloy/Qwen2.5-7B-olm-v1.4/2f751ac3-5ca5-4d0d-9ad4-48155e51468a.json
new file mode 100644
index 000000000..120c4b77c
--- /dev/null
+++ b/data/hfopenllm_v2/jeffmeloy/Qwen2.5-7B-olm-v1.4/2f751ac3-5ca5-4d0d-9ad4-48155e51468a.json
@@ -0,0 +1,132 @@
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jeffmeloy/Qwen2.5-7B-olm-v1.5/9677e68d-afda-4917-825c-83318219ff59.json b/data/hfopenllm_v2/jeffmeloy/Qwen2.5-7B-olm-v1.5/9677e68d-afda-4917-825c-83318219ff59.json
new file mode 100644
index 000000000..c40b034ac
--- /dev/null
+++ b/data/hfopenllm_v2/jeffmeloy/Qwen2.5-7B-olm-v1.5/9677e68d-afda-4917-825c-83318219ff59.json
@@ -0,0 +1,132 @@
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+  "source_metadata": {
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+    "source_type": "documentation",
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+        "hf_repo": "SaylorTwift/bbh"
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+        "hf_repo": "TIGER-Lab/MMLU-Pro"
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+      }
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jeffmeloy/jeffmeloy_Qwen2.5-7B-minperplexity-1/23cd57c2-bf7f-440a-ab3e-edfdede5e8cd.json b/data/hfopenllm_v2/jeffmeloy/jeffmeloy_Qwen2.5-7B-minperplexity-1/23cd57c2-bf7f-440a-ab3e-edfdede5e8cd.json
new file mode 100644
index 000000000..a05b1551c
--- /dev/null
+++ b/data/hfopenllm_v2/jeffmeloy/jeffmeloy_Qwen2.5-7B-minperplexity-1/23cd57c2-bf7f-440a-ab3e-edfdede5e8cd.json
@@ -0,0 +1,132 @@
+{
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+  "evaluation_id": "hfopenllm_v2/jeffmeloy_jeffmeloy_Qwen2.5-7B-minperplexity-1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "jeffmeloy_Qwen2.5-7B-minperplexity-1",
+    "id": "jeffmeloy/jeffmeloy_Qwen2.5-7B-minperplexity-1",
+    "developer": "jeffmeloy",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
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+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
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+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
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+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
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+        "hf_repo": "Idavidrein/gpqa"
+      },
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+        "lower_is_better": false,
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+    },
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
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+        "lower_is_better": false,
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+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jeonsworld/CarbonVillain-en-10.7B-v4/bd67084e-d9ca-43c4-ab6e-3fbe8a1fb782.json b/data/hfopenllm_v2/jeonsworld/CarbonVillain-en-10.7B-v4/bd67084e-d9ca-43c4-ab6e-3fbe8a1fb782.json
deleted file mode 100644
index bf98bb8b5..000000000
--- a/data/hfopenllm_v2/jeonsworld/CarbonVillain-en-10.7B-v4/bd67084e-d9ca-43c4-ab6e-3fbe8a1fb782.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
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-  "model_info": {
-    "name": "jeonsworld/CarbonVillain-en-10.7B-v4",
-    "developer": "jeonsworld",
-    "inference_platform": "unknown",
-    "id": "jeonsworld/CarbonVillain-en-10.7B-v4",
-    "additional_details": {
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-    }
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-}
diff --git a/data/hfopenllm_v2/jeonsworld/CarbonVillain-en-10.7B-v4/bec23315-f98a-4211-81a0-c49f395e66c9.json b/data/hfopenllm_v2/jeonsworld/CarbonVillain-en-10.7B-v4/bec23315-f98a-4211-81a0-c49f395e66c9.json
new file mode 100644
index 000000000..186c8ce3d
--- /dev/null
+++ b/data/hfopenllm_v2/jeonsworld/CarbonVillain-en-10.7B-v4/bec23315-f98a-4211-81a0-c49f395e66c9.json
@@ -0,0 +1,132 @@
+{
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+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "CarbonVillain-en-10.7B-v4",
+    "id": "jeonsworld/CarbonVillain-en-10.7B-v4",
+    "developer": "jeonsworld",
+    "inference_platform": "unknown",
+    "additional_details": {
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+      "architecture": "LlamaForCausalLM",
+      "params_billions": 10.732
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+      "source_data": {
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+        "hf_repo": "google/IFEval"
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+      "score_details": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
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+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
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+        "hf_repo": "Idavidrein/gpqa"
+      },
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+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
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+      "score_details": {
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+      }
+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
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+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3965
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+    {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
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+      "score_details": {
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+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jiangxinyang-shanda/Homer-LLama3-8B/1ac5faef-7fa0-4b58-a6ba-0c444a2023a8.json b/data/hfopenllm_v2/jiangxinyang-shanda/Homer-LLama3-8B/1ac5faef-7fa0-4b58-a6ba-0c444a2023a8.json
new file mode 100644
index 000000000..122a2bdfb
--- /dev/null
+++ b/data/hfopenllm_v2/jiangxinyang-shanda/Homer-LLama3-8B/1ac5faef-7fa0-4b58-a6ba-0c444a2023a8.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jiangxinyang-shanda_Homer-LLama3-8B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Homer-LLama3-8B",
+    "id": "jiangxinyang-shanda/Homer-LLama3-8B",
+    "developer": "jiangxinyang-shanda",
+    "inference_platform": "unknown",
+    "additional_details": {
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+      "architecture": "LlamaForCausalLM",
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+  "evaluation_results": [
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+        "min_score": 0.0,
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+      "score_details": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5173
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+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
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+        "max_score": 1.0
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+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
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+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
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+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jieliu/Storm-7B/39327803-11e7-4b28-8750-81feb027e8f3.json b/data/hfopenllm_v2/jieliu/Storm-7B/39327803-11e7-4b28-8750-81feb027e8f3.json
new file mode 100644
index 000000000..eaad1d2e4
--- /dev/null
+++ b/data/hfopenllm_v2/jieliu/Storm-7B/39327803-11e7-4b28-8750-81feb027e8f3.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jieliu_Storm-7B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Storm-7B",
+    "id": "jieliu/Storm-7B",
+    "developer": "jieliu",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3424
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5187
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0612
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3079
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4429
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3119
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jieliu/Storm-7B/f521cb33-487e-4636-9039-fe1af3e090f2.json b/data/hfopenllm_v2/jieliu/Storm-7B/f521cb33-487e-4636-9039-fe1af3e090f2.json
deleted file mode 100644
index 1fa52234b..000000000
--- a/data/hfopenllm_v2/jieliu/Storm-7B/f521cb33-487e-4636-9039-fe1af3e090f2.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jieliu_Storm-7B/1762652580.288308",
-  "retrieved_timestamp": "1762652580.288309",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jieliu/Storm-7B",
-    "developer": "jieliu",
-    "inference_platform": "unknown",
-    "id": "jieliu/Storm-7B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3424192254329623
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5187285371254579
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.06117824773413897
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30788590604026844
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4428958333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3119182180851064
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jiviai/medX_v2/386bc585-73ed-443e-b8ce-8723c533e41b.json b/data/hfopenllm_v2/jiviai/medX_v2/386bc585-73ed-443e-b8ce-8723c533e41b.json
deleted file mode 100644
index d4c8ea785..000000000
--- a/data/hfopenllm_v2/jiviai/medX_v2/386bc585-73ed-443e-b8ce-8723c533e41b.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jiviai_medX_v2/1762652580.288615",
-  "retrieved_timestamp": "1762652580.288616",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jiviai/medX_v2",
-    "developer": "jiviai",
-    "inference_platform": "unknown",
-    "id": "jiviai/medX_v2",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37431792089433813
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4508721125093523
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.054380664652567974
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.32298657718120805
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.34984375
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.34283577127659576
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jiviai/medX_v2/ce2b6874-0fc8-4364-a526-7b25b101e1e3.json b/data/hfopenllm_v2/jiviai/medX_v2/ce2b6874-0fc8-4364-a526-7b25b101e1e3.json
new file mode 100644
index 000000000..57f4909ab
--- /dev/null
+++ b/data/hfopenllm_v2/jiviai/medX_v2/ce2b6874-0fc8-4364-a526-7b25b101e1e3.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jiviai_medX_v2/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "medX_v2",
+    "id": "jiviai/medX_v2",
+    "developer": "jiviai",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3743
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4509
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0544
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.323
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3498
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3428
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jlzhou/Qwen2.5-3B-Infinity-Instruct-0625/09585af5-dd80-4418-8f58-c6ae718a1eee.json b/data/hfopenllm_v2/jlzhou/Qwen2.5-3B-Infinity-Instruct-0625/09585af5-dd80-4418-8f58-c6ae718a1eee.json
deleted file mode 100644
index 4c1f3dc21..000000000
--- a/data/hfopenllm_v2/jlzhou/Qwen2.5-3B-Infinity-Instruct-0625/09585af5-dd80-4418-8f58-c6ae718a1eee.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jlzhou_Qwen2.5-3B-Infinity-Instruct-0625/1762652580.288917",
-  "retrieved_timestamp": "1762652580.288918",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jlzhou/Qwen2.5-3B-Infinity-Instruct-0625",
-    "developer": "jlzhou",
-    "inference_platform": "unknown",
-    "id": "jlzhou/Qwen2.5-3B-Infinity-Instruct-0625",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 3.086
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.35575827692744144
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4773774601029352
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.13670694864048338
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.26929530201342283
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.39809374999999997
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3198969414893617
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jlzhou/Qwen2.5-3B-Infinity-Instruct-0625/9f9ebc90-31f9-45c1-b9c2-07b727b12f3d.json b/data/hfopenllm_v2/jlzhou/Qwen2.5-3B-Infinity-Instruct-0625/9f9ebc90-31f9-45c1-b9c2-07b727b12f3d.json
new file mode 100644
index 000000000..bacdbbca7
--- /dev/null
+++ b/data/hfopenllm_v2/jlzhou/Qwen2.5-3B-Infinity-Instruct-0625/9f9ebc90-31f9-45c1-b9c2-07b727b12f3d.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jlzhou_Qwen2.5-3B-Infinity-Instruct-0625/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-3B-Infinity-Instruct-0625",
+    "id": "jlzhou/Qwen2.5-3B-Infinity-Instruct-0625",
+    "developer": "jlzhou",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 3.086
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3558
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4774
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1367
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2693
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3981
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3199
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_breadcrumbs-density-0.1-gamma-0.01/d189a2fc-71f5-4bc9-a0b1-7e744a19921f.json b/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_breadcrumbs-density-0.1-gamma-0.01/d189a2fc-71f5-4bc9-a0b1-7e744a19921f.json
new file mode 100644
index 000000000..c7139a751
--- /dev/null
+++ b/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_breadcrumbs-density-0.1-gamma-0.01/d189a2fc-71f5-4bc9-a0b1-7e744a19921f.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/johnsutor_Llama-3-8B-Instruct_breadcrumbs-density-0.1-gamma-0.01/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-3-8B-Instruct_breadcrumbs-density-0.1-gamma-0.01",
+    "id": "johnsutor/Llama-3-8B-Instruct_breadcrumbs-density-0.1-gamma-0.01",
+    "developer": "johnsutor",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4271
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5036
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0453
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3221
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4638
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3739
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_breadcrumbs-density-0.1-gamma-0.01/f7207c82-5fc7-447a-b532-42bdb77ecfb4.json b/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_breadcrumbs-density-0.1-gamma-0.01/f7207c82-5fc7-447a-b532-42bdb77ecfb4.json
deleted file mode 100644
index eb20af00c..000000000
--- a/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_breadcrumbs-density-0.1-gamma-0.01/f7207c82-5fc7-447a-b532-42bdb77ecfb4.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/johnsutor_Llama-3-8B-Instruct_breadcrumbs-density-0.1-gamma-0.01/1762652580.289233",
-  "retrieved_timestamp": "1762652580.289234",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "johnsutor/Llama-3-8B-Instruct_breadcrumbs-density-0.1-gamma-0.01",
-    "developer": "johnsutor",
-    "inference_platform": "unknown",
-    "id": "johnsutor/Llama-3-8B-Instruct_breadcrumbs-density-0.1-gamma-0.01",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42712447417297217
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5035519809362171
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.045317220543806644
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3221476510067114
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4637604166666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37391954787234044
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_breadcrumbs-density-0.1-gamma-0.1/1eb697fe-9dd4-4a41-aa47-33456df39e2d.json b/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_breadcrumbs-density-0.1-gamma-0.1/1eb697fe-9dd4-4a41-aa47-33456df39e2d.json
new file mode 100644
index 000000000..a10daf5d6
--- /dev/null
+++ b/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_breadcrumbs-density-0.1-gamma-0.1/1eb697fe-9dd4-4a41-aa47-33456df39e2d.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/johnsutor_Llama-3-8B-Instruct_breadcrumbs-density-0.1-gamma-0.1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-3-8B-Instruct_breadcrumbs-density-0.1-gamma-0.1",
+    "id": "johnsutor/Llama-3-8B-Instruct_breadcrumbs-density-0.1-gamma-0.1",
+    "developer": "johnsutor",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4253
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5019
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0967
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3012
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.415
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3724
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_breadcrumbs-density-0.1-gamma-0.1/592dcd83-1adb-4193-add2-fb0ae66ea7ee.json b/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_breadcrumbs-density-0.1-gamma-0.1/592dcd83-1adb-4193-add2-fb0ae66ea7ee.json
deleted file mode 100644
index 8c568bc6a..000000000
--- a/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_breadcrumbs-density-0.1-gamma-0.1/592dcd83-1adb-4193-add2-fb0ae66ea7ee.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/johnsutor_Llama-3-8B-Instruct_breadcrumbs-density-0.1-gamma-0.1/1762652580.289527",
-  "retrieved_timestamp": "1762652580.2895281",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "johnsutor/Llama-3-8B-Instruct_breadcrumbs-density-0.1-gamma-0.1",
-    "developer": "johnsutor",
-    "inference_platform": "unknown",
-    "id": "johnsutor/Llama-3-8B-Instruct_breadcrumbs-density-0.1-gamma-0.1",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42532591302189304
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5018845446835877
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.09667673716012085
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3011744966442953
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41502083333333334
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37242353723404253
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_breadcrumbs-density-0.3-gamma-0.01/2c82f973-c6cb-4aa2-9121-51bb0343aae4.json b/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_breadcrumbs-density-0.3-gamma-0.01/2c82f973-c6cb-4aa2-9121-51bb0343aae4.json
deleted file mode 100644
index 6252efa6c..000000000
--- a/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_breadcrumbs-density-0.3-gamma-0.01/2c82f973-c6cb-4aa2-9121-51bb0343aae4.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/johnsutor_Llama-3-8B-Instruct_breadcrumbs-density-0.3-gamma-0.01/1762652580.2897432",
-  "retrieved_timestamp": "1762652580.289744",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "johnsutor/Llama-3-8B-Instruct_breadcrumbs-density-0.3-gamma-0.01",
-    "developer": "johnsutor",
-    "inference_platform": "unknown",
-    "id": "johnsutor/Llama-3-8B-Instruct_breadcrumbs-density-0.3-gamma-0.01",
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-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
-        "score": 0.5017708333333334
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-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
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diff --git a/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_breadcrumbs-density-0.3-gamma-0.01/5f10df7b-cd2c-44ca-b13a-2852483c71f8.json b/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_breadcrumbs-density-0.3-gamma-0.01/5f10df7b-cd2c-44ca-b13a-2852483c71f8.json
new file mode 100644
index 000000000..c3e92c793
--- /dev/null
+++ b/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_breadcrumbs-density-0.3-gamma-0.01/5f10df7b-cd2c-44ca-b13a-2852483c71f8.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/johnsutor_Llama-3-8B-Instruct_breadcrumbs-density-0.3-gamma-0.01/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-3-8B-Instruct_breadcrumbs-density-0.3-gamma-0.01",
+    "id": "johnsutor/Llama-3-8B-Instruct_breadcrumbs-density-0.3-gamma-0.01",
+    "developer": "johnsutor",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3377
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4917
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3121
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5018
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3533
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_breadcrumbs-density-0.3-gamma-0.1/3abbb4b6-8050-44fd-b066-0f061ce2f4d7.json b/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_breadcrumbs-density-0.3-gamma-0.1/3abbb4b6-8050-44fd-b066-0f061ce2f4d7.json
new file mode 100644
index 000000000..8e8a04411
--- /dev/null
+++ b/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_breadcrumbs-density-0.3-gamma-0.1/3abbb4b6-8050-44fd-b066-0f061ce2f4d7.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/johnsutor_Llama-3-8B-Instruct_breadcrumbs-density-0.3-gamma-0.1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-3-8B-Instruct_breadcrumbs-density-0.3-gamma-0.1",
+    "id": "johnsutor/Llama-3-8B-Instruct_breadcrumbs-density-0.3-gamma-0.1",
+    "developer": "johnsutor",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4274
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5126
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0808
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3087
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4226
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3739
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_breadcrumbs-density-0.3-gamma-0.1/42b63cfd-3b06-4363-bf78-40c40da10299.json b/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_breadcrumbs-density-0.3-gamma-0.1/42b63cfd-3b06-4363-bf78-40c40da10299.json
deleted file mode 100644
index 3426d2506..000000000
--- a/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_breadcrumbs-density-0.3-gamma-0.1/42b63cfd-3b06-4363-bf78-40c40da10299.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/johnsutor_Llama-3-8B-Instruct_breadcrumbs-density-0.3-gamma-0.1/1762652580.289967",
-  "retrieved_timestamp": "1762652580.289967",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "johnsutor/Llama-3-8B-Instruct_breadcrumbs-density-0.3-gamma-0.1",
-    "developer": "johnsutor",
-    "inference_platform": "unknown",
-    "id": "johnsutor/Llama-3-8B-Instruct_breadcrumbs-density-0.3-gamma-0.1",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4273993005226133
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5125777877188348
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.08081570996978851
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3087248322147651
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42264583333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37391954787234044
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_breadcrumbs-density-0.5-gamma-0.01/5f47e65d-293f-469e-a18f-5627ca1adf44.json b/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_breadcrumbs-density-0.5-gamma-0.01/5f47e65d-293f-469e-a18f-5627ca1adf44.json
new file mode 100644
index 000000000..f7941ba70
--- /dev/null
+++ b/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_breadcrumbs-density-0.5-gamma-0.01/5f47e65d-293f-469e-a18f-5627ca1adf44.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/johnsutor_Llama-3-8B-Instruct_breadcrumbs-density-0.5-gamma-0.01/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-3-8B-Instruct_breadcrumbs-density-0.5-gamma-0.01",
+    "id": "johnsutor/Llama-3-8B-Instruct_breadcrumbs-density-0.5-gamma-0.01",
+    "developer": "johnsutor",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3204
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4884
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0038
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.302
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5098
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3344
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_breadcrumbs-density-0.5-gamma-0.01/cd4acb74-9433-435c-b0e9-9750fa52e3c0.json b/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_breadcrumbs-density-0.5-gamma-0.01/cd4acb74-9433-435c-b0e9-9750fa52e3c0.json
deleted file mode 100644
index f3d58880e..000000000
--- a/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_breadcrumbs-density-0.5-gamma-0.01/cd4acb74-9433-435c-b0e9-9750fa52e3c0.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/johnsutor_Llama-3-8B-Instruct_breadcrumbs-density-0.5-gamma-0.01/1762652580.2902021",
-  "retrieved_timestamp": "1762652580.2902029",
-  "source_data": [
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-    "developer": "johnsutor",
-    "inference_platform": "unknown",
-    "id": "johnsutor/Llama-3-8B-Instruct_breadcrumbs-density-0.5-gamma-0.01",
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-        "lower_is_better": false,
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-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
-        "score": 0.5097708333333334
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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diff --git a/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_breadcrumbs-density-0.5-gamma-0.1/b753c1aa-8a0c-4600-99ec-8eb51ab50da7.json b/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_breadcrumbs-density-0.5-gamma-0.1/b753c1aa-8a0c-4600-99ec-8eb51ab50da7.json
new file mode 100644
index 000000000..9fd6df7ed
--- /dev/null
+++ b/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_breadcrumbs-density-0.5-gamma-0.1/b753c1aa-8a0c-4600-99ec-8eb51ab50da7.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/johnsutor_Llama-3-8B-Instruct_breadcrumbs-density-0.5-gamma-0.1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-3-8B-Instruct_breadcrumbs-density-0.5-gamma-0.1",
+    "id": "johnsutor/Llama-3-8B-Instruct_breadcrumbs-density-0.5-gamma-0.1",
+    "developer": "johnsutor",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4396
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.514
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.307
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4398
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3696
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_breadcrumbs-density-0.5-gamma-0.1/e9a9ec78-4ada-4ce4-ad92-c27332279f84.json b/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_breadcrumbs-density-0.5-gamma-0.1/e9a9ec78-4ada-4ce4-ad92-c27332279f84.json
deleted file mode 100644
index 2402d1dc6..000000000
--- a/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_breadcrumbs-density-0.5-gamma-0.1/e9a9ec78-4ada-4ce4-ad92-c27332279f84.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/johnsutor_Llama-3-8B-Instruct_breadcrumbs-density-0.5-gamma-0.1/1762652580.290431",
-  "retrieved_timestamp": "1762652580.290432",
-  "source_data": [
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
-    "name": "johnsutor/Llama-3-8B-Instruct_breadcrumbs-density-0.5-gamma-0.1",
-    "developer": "johnsutor",
-    "inference_platform": "unknown",
-    "id": "johnsutor/Llama-3-8B-Instruct_breadcrumbs-density-0.5-gamma-0.1",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
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-        "score_type": "continuous",
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-        "score_type": "continuous",
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-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.43979166666666664
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
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diff --git a/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_breadcrumbs-density-0.7-gamma-0.01/15c21655-9af8-4bee-9884-b047683e9adf.json b/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_breadcrumbs-density-0.7-gamma-0.01/15c21655-9af8-4bee-9884-b047683e9adf.json
new file mode 100644
index 000000000..2d9d72344
--- /dev/null
+++ b/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_breadcrumbs-density-0.7-gamma-0.01/15c21655-9af8-4bee-9884-b047683e9adf.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/johnsutor_Llama-3-8B-Instruct_breadcrumbs-density-0.7-gamma-0.01/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-3-8B-Instruct_breadcrumbs-density-0.7-gamma-0.01",
+    "id": "johnsutor/Llama-3-8B-Instruct_breadcrumbs-density-0.7-gamma-0.01",
+    "developer": "johnsutor",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2814
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4854
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0023
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2903
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5163
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3295
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_breadcrumbs-density-0.7-gamma-0.01/b4e42076-bbff-4179-897d-b45a0e959020.json b/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_breadcrumbs-density-0.7-gamma-0.01/b4e42076-bbff-4179-897d-b45a0e959020.json
deleted file mode 100644
index da08100a5..000000000
--- a/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_breadcrumbs-density-0.7-gamma-0.01/b4e42076-bbff-4179-897d-b45a0e959020.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/johnsutor_Llama-3-8B-Instruct_breadcrumbs-density-0.7-gamma-0.01/1762652580.290661",
-  "retrieved_timestamp": "1762652580.2906618",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
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-  "source_metadata": {
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "johnsutor/Llama-3-8B-Instruct_breadcrumbs-density-0.7-gamma-0.01",
-    "developer": "johnsutor",
-    "inference_platform": "unknown",
-    "id": "johnsutor/Llama-3-8B-Instruct_breadcrumbs-density-0.7-gamma-0.01",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
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-      "metric_config": {
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-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4854325756272537
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.0022658610271903325
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2902684563758389
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5163125000000001
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-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3295378989361702
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-}
diff --git a/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_breadcrumbs-density-0.7-gamma-0.1/4017ff46-f389-4024-be9c-4360b0b6e64c.json b/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_breadcrumbs-density-0.7-gamma-0.1/4017ff46-f389-4024-be9c-4360b0b6e64c.json
deleted file mode 100644
index 1628f20d7..000000000
--- a/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_breadcrumbs-density-0.7-gamma-0.1/4017ff46-f389-4024-be9c-4360b0b6e64c.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/johnsutor_Llama-3-8B-Instruct_breadcrumbs-density-0.7-gamma-0.1/1762652580.2908769",
-  "retrieved_timestamp": "1762652580.290878",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
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-  "source_metadata": {
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diff --git a/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_breadcrumbs-density-0.7-gamma-0.1/f642de95-218a-4db0-807f-1bb97618b4f6.json b/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_breadcrumbs-density-0.7-gamma-0.1/f642de95-218a-4db0-807f-1bb97618b4f6.json
new file mode 100644
index 000000000..0a6e5d576
--- /dev/null
+++ b/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_breadcrumbs-density-0.7-gamma-0.1/f642de95-218a-4db0-807f-1bb97618b4f6.json
@@ -0,0 +1,132 @@
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+  "source_metadata": {
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+    "id": "johnsutor/Llama-3-8B-Instruct_breadcrumbs-density-0.7-gamma-0.1",
+    "developer": "johnsutor",
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_breadcrumbs-density-0.9-gamma-0.01/01443b06-9ad3-41f5-ae0d-bc84086e0a0d.json b/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_breadcrumbs-density-0.9-gamma-0.01/01443b06-9ad3-41f5-ae0d-bc84086e0a0d.json
new file mode 100644
index 000000000..960cb299c
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@@ -0,0 +1,132 @@
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_breadcrumbs-density-0.9-gamma-0.01/6bef1092-ece2-4aeb-8dbe-0e1a02c95f2f.json b/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_breadcrumbs-density-0.9-gamma-0.01/6bef1092-ece2-4aeb-8dbe-0e1a02c95f2f.json
deleted file mode 100644
index ffd0ba1ee..000000000
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+++ /dev/null
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diff --git a/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_breadcrumbs-density-0.9-gamma-0.1/1ee8c377-2236-4225-942f-ef8ce5770741.json b/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_breadcrumbs-density-0.9-gamma-0.1/1ee8c377-2236-4225-942f-ef8ce5770741.json
new file mode 100644
index 000000000..25f0a4caa
--- /dev/null
+++ b/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_breadcrumbs-density-0.9-gamma-0.1/1ee8c377-2236-4225-942f-ef8ce5770741.json
@@ -0,0 +1,132 @@
+{
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+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
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+    "evaluator_relationship": "third_party"
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+  "model_info": {
+    "name": "Llama-3-8B-Instruct_breadcrumbs-density-0.9-gamma-0.1",
+    "id": "johnsutor/Llama-3-8B-Instruct_breadcrumbs-density-0.9-gamma-0.1",
+    "developer": "johnsutor",
+    "inference_platform": "unknown",
+    "additional_details": {
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+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
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+      },
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
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+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+      "score_details": {
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+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+      "score_details": {
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+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
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+      },
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+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_breadcrumbs-density-0.9-gamma-0.1/872cddea-7a06-4b80-9243-423bf49c222c.json b/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_breadcrumbs-density-0.9-gamma-0.1/872cddea-7a06-4b80-9243-423bf49c222c.json
deleted file mode 100644
index 6c6dbfa71..000000000
--- a/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_breadcrumbs-density-0.9-gamma-0.1/872cddea-7a06-4b80-9243-423bf49c222c.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/johnsutor_Llama-3-8B-Instruct_breadcrumbs-density-0.9-gamma-0.1/1762652580.291321",
-  "retrieved_timestamp": "1762652580.291322",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "johnsutor/Llama-3-8B-Instruct_breadcrumbs-density-0.9-gamma-0.1",
-    "developer": "johnsutor",
-    "inference_platform": "unknown",
-    "id": "johnsutor/Llama-3-8B-Instruct_breadcrumbs-density-0.9-gamma-0.1",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4222784434190171
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5153764046315631
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.07401812688821752
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30788590604026844
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4384270833333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3650265957446808
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_breadcrumbs_ties-density-0.1-gamma-0.01/4ee9aa78-d9eb-4a1c-91c4-f29f093b95d3.json b/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_breadcrumbs_ties-density-0.1-gamma-0.01/4ee9aa78-d9eb-4a1c-91c4-f29f093b95d3.json
new file mode 100644
index 000000000..9cbebea51
--- /dev/null
+++ b/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_breadcrumbs_ties-density-0.1-gamma-0.01/4ee9aa78-d9eb-4a1c-91c4-f29f093b95d3.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/johnsutor_Llama-3-8B-Instruct_breadcrumbs_ties-density-0.1-gamma-0.01/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-3-8B-Instruct_breadcrumbs_ties-density-0.1-gamma-0.01",
+    "id": "johnsutor/Llama-3-8B-Instruct_breadcrumbs_ties-density-0.1-gamma-0.01",
+    "developer": "johnsutor",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4359
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5041
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0483
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3104
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4532
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3762
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_breadcrumbs_ties-density-0.1-gamma-0.01/9dfd4a1b-fa18-4d54-a7bd-a519f87b532b.json b/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_breadcrumbs_ties-density-0.1-gamma-0.01/9dfd4a1b-fa18-4d54-a7bd-a519f87b532b.json
deleted file mode 100644
index 8ea1073e0..000000000
--- a/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_breadcrumbs_ties-density-0.1-gamma-0.01/9dfd4a1b-fa18-4d54-a7bd-a519f87b532b.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/johnsutor_Llama-3-8B-Instruct_breadcrumbs_ties-density-0.1-gamma-0.01/1762652580.291548",
-  "retrieved_timestamp": "1762652580.291548",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "johnsutor/Llama-3-8B-Instruct_breadcrumbs_ties-density-0.1-gamma-0.01",
-    "developer": "johnsutor",
-    "inference_platform": "unknown",
-    "id": "johnsutor/Llama-3-8B-Instruct_breadcrumbs_ties-density-0.1-gamma-0.01",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4358923212631374
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5040935986635269
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.04833836858006042
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3104026845637584
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.45315625
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3762466755319149
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_breadcrumbs_ties-density-0.1-gamma-0.1/184a8906-d998-4e03-bf6f-f66ca904a7b7.json b/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_breadcrumbs_ties-density-0.1-gamma-0.1/184a8906-d998-4e03-bf6f-f66ca904a7b7.json
deleted file mode 100644
index 1dece87f1..000000000
--- a/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_breadcrumbs_ties-density-0.1-gamma-0.1/184a8906-d998-4e03-bf6f-f66ca904a7b7.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/johnsutor_Llama-3-8B-Instruct_breadcrumbs_ties-density-0.1-gamma-0.1/1762652580.291779",
-  "retrieved_timestamp": "1762652580.29178",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "johnsutor/Llama-3-8B-Instruct_breadcrumbs_ties-density-0.1-gamma-0.1",
-    "developer": "johnsutor",
-    "inference_platform": "unknown",
-    "id": "johnsutor/Llama-3-8B-Instruct_breadcrumbs_ties-density-0.1-gamma-0.1",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4201551882338861
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.501124270710985
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.09818731117824774
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30033557046979864
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41502083333333334
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3699301861702128
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_breadcrumbs_ties-density-0.1-gamma-0.1/419c6631-805f-43ba-9db8-5296f8d221ec.json b/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_breadcrumbs_ties-density-0.1-gamma-0.1/419c6631-805f-43ba-9db8-5296f8d221ec.json
new file mode 100644
index 000000000..bd49fe5af
--- /dev/null
+++ b/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_breadcrumbs_ties-density-0.1-gamma-0.1/419c6631-805f-43ba-9db8-5296f8d221ec.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/johnsutor_Llama-3-8B-Instruct_breadcrumbs_ties-density-0.1-gamma-0.1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-3-8B-Instruct_breadcrumbs_ties-density-0.1-gamma-0.1",
+    "id": "johnsutor/Llama-3-8B-Instruct_breadcrumbs_ties-density-0.1-gamma-0.1",
+    "developer": "johnsutor",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4202
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5011
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0982
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3003
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.415
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3699
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_breadcrumbs_ties-density-0.3-gamma-0.01/11f14586-5f0c-4e0b-b41e-f3e0f298b781.json b/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_breadcrumbs_ties-density-0.3-gamma-0.01/11f14586-5f0c-4e0b-b41e-f3e0f298b781.json
deleted file mode 100644
index 4eda5ded3..000000000
--- a/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_breadcrumbs_ties-density-0.3-gamma-0.01/11f14586-5f0c-4e0b-b41e-f3e0f298b781.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/johnsutor_Llama-3-8B-Instruct_breadcrumbs_ties-density-0.3-gamma-0.01/1762652580.292005",
-  "retrieved_timestamp": "1762652580.2920058",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "johnsutor/Llama-3-8B-Instruct_breadcrumbs_ties-density-0.3-gamma-0.01",
-    "developer": "johnsutor",
-    "inference_platform": "unknown",
-    "id": "johnsutor/Llama-3-8B-Instruct_breadcrumbs_ties-density-0.3-gamma-0.01",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.35178659290682057
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.49985217584312186
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.023413897280966767
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3062080536912752
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.48710416666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3611203457446808
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_breadcrumbs_ties-density-0.3-gamma-0.01/3fc1822f-4a43-4a3b-90d7-fc163491c90a.json b/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_breadcrumbs_ties-density-0.3-gamma-0.01/3fc1822f-4a43-4a3b-90d7-fc163491c90a.json
new file mode 100644
index 000000000..e230b5938
--- /dev/null
+++ b/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_breadcrumbs_ties-density-0.3-gamma-0.01/3fc1822f-4a43-4a3b-90d7-fc163491c90a.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/johnsutor_Llama-3-8B-Instruct_breadcrumbs_ties-density-0.3-gamma-0.01/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-3-8B-Instruct_breadcrumbs_ties-density-0.3-gamma-0.01",
+    "id": "johnsutor/Llama-3-8B-Instruct_breadcrumbs_ties-density-0.3-gamma-0.01",
+    "developer": "johnsutor",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3518
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4999
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0234
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3062
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4871
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3611
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_breadcrumbs_ties-density-0.3-gamma-0.1/3b9966ca-8157-4f32-b276-9d36dd1045e1.json b/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_breadcrumbs_ties-density-0.3-gamma-0.1/3b9966ca-8157-4f32-b276-9d36dd1045e1.json
deleted file mode 100644
index 8edf0f661..000000000
--- a/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_breadcrumbs_ties-density-0.3-gamma-0.1/3b9966ca-8157-4f32-b276-9d36dd1045e1.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/johnsutor_Llama-3-8B-Instruct_breadcrumbs_ties-density-0.3-gamma-0.1/1762652580.2922251",
-  "retrieved_timestamp": "1762652580.292226",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "johnsutor/Llama-3-8B-Instruct_breadcrumbs_ties-density-0.3-gamma-0.1",
-    "developer": "johnsutor",
-    "inference_platform": "unknown",
-    "id": "johnsutor/Llama-3-8B-Instruct_breadcrumbs_ties-density-0.3-gamma-0.1",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42038014689911657
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5107301269172088
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.08761329305135952
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30453020134228187
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42785416666666665
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37101063829787234
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_breadcrumbs_ties-density-0.3-gamma-0.1/76b4037b-c5d0-435f-966a-bd88b1665dad.json b/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_breadcrumbs_ties-density-0.3-gamma-0.1/76b4037b-c5d0-435f-966a-bd88b1665dad.json
new file mode 100644
index 000000000..449e51cc0
--- /dev/null
+++ b/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_breadcrumbs_ties-density-0.3-gamma-0.1/76b4037b-c5d0-435f-966a-bd88b1665dad.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/johnsutor_Llama-3-8B-Instruct_breadcrumbs_ties-density-0.3-gamma-0.1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-3-8B-Instruct_breadcrumbs_ties-density-0.3-gamma-0.1",
+    "id": "johnsutor/Llama-3-8B-Instruct_breadcrumbs_ties-density-0.3-gamma-0.1",
+    "developer": "johnsutor",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4204
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5107
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0876
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3045
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4279
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.371
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_breadcrumbs_ties-density-0.5-gamma-0.01/414c1eec-86bc-4d86-a014-2ea586eebfb1.json b/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_breadcrumbs_ties-density-0.5-gamma-0.01/414c1eec-86bc-4d86-a014-2ea586eebfb1.json
deleted file mode 100644
index ceeec7cc2..000000000
--- a/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_breadcrumbs_ties-density-0.5-gamma-0.01/414c1eec-86bc-4d86-a014-2ea586eebfb1.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/johnsutor_Llama-3-8B-Instruct_breadcrumbs_ties-density-0.5-gamma-0.01/1762652580.292447",
-  "retrieved_timestamp": "1762652580.292447",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "johnsutor/Llama-3-8B-Instruct_breadcrumbs_ties-density-0.5-gamma-0.01",
-    "developer": "johnsutor",
-    "inference_platform": "unknown",
-    "id": "johnsutor/Llama-3-8B-Instruct_breadcrumbs_ties-density-0.5-gamma-0.01",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.34541682735142754
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4983827321097329
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.02190332326283988
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.29697986577181207
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.49113541666666666
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3531416223404255
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_breadcrumbs_ties-density-0.5-gamma-0.01/757b85e7-84c8-429f-aeb4-870852fa8959.json b/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_breadcrumbs_ties-density-0.5-gamma-0.01/757b85e7-84c8-429f-aeb4-870852fa8959.json
new file mode 100644
index 000000000..3c0a95ced
--- /dev/null
+++ b/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_breadcrumbs_ties-density-0.5-gamma-0.01/757b85e7-84c8-429f-aeb4-870852fa8959.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/johnsutor_Llama-3-8B-Instruct_breadcrumbs_ties-density-0.5-gamma-0.01/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-3-8B-Instruct_breadcrumbs_ties-density-0.5-gamma-0.01",
+    "id": "johnsutor/Llama-3-8B-Instruct_breadcrumbs_ties-density-0.5-gamma-0.01",
+    "developer": "johnsutor",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3454
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4984
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0219
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.297
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4911
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3531
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_breadcrumbs_ties-density-0.5-gamma-0.1/acab4982-1205-4362-803e-306b1e2371bf.json b/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_breadcrumbs_ties-density-0.5-gamma-0.1/acab4982-1205-4362-803e-306b1e2371bf.json
new file mode 100644
index 000000000..07aaad644
--- /dev/null
+++ b/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_breadcrumbs_ties-density-0.5-gamma-0.1/acab4982-1205-4362-803e-306b1e2371bf.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/johnsutor_Llama-3-8B-Instruct_breadcrumbs_ties-density-0.5-gamma-0.1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-3-8B-Instruct_breadcrumbs_ties-density-0.5-gamma-0.1",
+    "id": "johnsutor/Llama-3-8B-Instruct_breadcrumbs_ties-density-0.5-gamma-0.1",
+    "developer": "johnsutor",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4092
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5137
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0808
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2953
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4357
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3669
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_breadcrumbs_ties-density-0.5-gamma-0.1/c9e8c1d4-c031-4f90-a14b-30633e75f2c3.json b/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_breadcrumbs_ties-density-0.5-gamma-0.1/c9e8c1d4-c031-4f90-a14b-30633e75f2c3.json
deleted file mode 100644
index 1ccaf66a3..000000000
--- a/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_breadcrumbs_ties-density-0.5-gamma-0.1/c9e8c1d4-c031-4f90-a14b-30633e75f2c3.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/johnsutor_Llama-3-8B-Instruct_breadcrumbs_ties-density-0.5-gamma-0.1/1762652580.292675",
-  "retrieved_timestamp": "1762652580.2926762",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "johnsutor/Llama-3-8B-Instruct_breadcrumbs_ties-density-0.5-gamma-0.1",
-    "developer": "johnsutor",
-    "inference_platform": "unknown",
-    "id": "johnsutor/Llama-3-8B-Instruct_breadcrumbs_ties-density-0.5-gamma-0.1",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.40916435058976847
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.513665952913411
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2953020134228188
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.43569791666666663
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.366938164893617
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_breadcrumbs_ties-density-0.7-gamma-0.01/0e549b5d-c1d9-443d-9a80-8dd34dadd22e.json b/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_breadcrumbs_ties-density-0.7-gamma-0.01/0e549b5d-c1d9-443d-9a80-8dd34dadd22e.json
new file mode 100644
index 000000000..a9858ea11
--- /dev/null
+++ b/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_breadcrumbs_ties-density-0.7-gamma-0.01/0e549b5d-c1d9-443d-9a80-8dd34dadd22e.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/johnsutor_Llama-3-8B-Instruct_breadcrumbs_ties-density-0.7-gamma-0.01/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-3-8B-Instruct_breadcrumbs_ties-density-0.7-gamma-0.01",
+    "id": "johnsutor/Llama-3-8B-Instruct_breadcrumbs_ties-density-0.7-gamma-0.01",
+    "developer": "johnsutor",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2904
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4967
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0144
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2995
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4991
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.349
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_breadcrumbs_ties-density-0.7-gamma-0.01/4532b233-abbc-4fbd-ba77-801eb1398361.json b/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_breadcrumbs_ties-density-0.7-gamma-0.01/4532b233-abbc-4fbd-ba77-801eb1398361.json
deleted file mode 100644
index 26a2a2d63..000000000
--- a/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_breadcrumbs_ties-density-0.7-gamma-0.01/4532b233-abbc-4fbd-ba77-801eb1398361.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/johnsutor_Llama-3-8B-Instruct_breadcrumbs_ties-density-0.7-gamma-0.01/1762652580.292904",
-  "retrieved_timestamp": "1762652580.2929049",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "johnsutor/Llama-3-8B-Instruct_breadcrumbs_ties-density-0.7-gamma-0.01",
-    "developer": "johnsutor",
-    "inference_platform": "unknown",
-    "id": "johnsutor/Llama-3-8B-Instruct_breadcrumbs_ties-density-0.7-gamma-0.01",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.29038728351884113
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4967337534367295
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.014350453172205438
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.29949664429530204
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4990729166666667
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.34898603723404253
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-}
diff --git a/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_breadcrumbs_ties-density-0.7-gamma-0.1/d3d4eccc-8792-40e5-91cf-22885f4cbaf5.json b/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_breadcrumbs_ties-density-0.7-gamma-0.1/d3d4eccc-8792-40e5-91cf-22885f4cbaf5.json
new file mode 100644
index 000000000..0de836a5f
--- /dev/null
+++ b/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_breadcrumbs_ties-density-0.7-gamma-0.1/d3d4eccc-8792-40e5-91cf-22885f4cbaf5.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/johnsutor_Llama-3-8B-Instruct_breadcrumbs_ties-density-0.7-gamma-0.1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-3-8B-Instruct_breadcrumbs_ties-density-0.7-gamma-0.1",
+    "id": "johnsutor/Llama-3-8B-Instruct_breadcrumbs_ties-density-0.7-gamma-0.1",
+    "developer": "johnsutor",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4199
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5147
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0808
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2987
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4358
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3615
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_breadcrumbs_ties-density-0.7-gamma-0.1/d5916658-91c3-418f-9cd6-c49dcc8927a3.json b/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_breadcrumbs_ties-density-0.7-gamma-0.1/d5916658-91c3-418f-9cd6-c49dcc8927a3.json
deleted file mode 100644
index 6b29b5e89..000000000
--- a/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_breadcrumbs_ties-density-0.7-gamma-0.1/d5916658-91c3-418f-9cd6-c49dcc8927a3.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/johnsutor_Llama-3-8B-Instruct_breadcrumbs_ties-density-0.7-gamma-0.1/1762652580.2931998",
-  "retrieved_timestamp": "1762652580.293205",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "johnsutor/Llama-3-8B-Instruct_breadcrumbs_ties-density-0.7-gamma-0.1",
-    "developer": "johnsutor",
-    "inference_platform": "unknown",
-    "id": "johnsutor/Llama-3-8B-Instruct_breadcrumbs_ties-density-0.7-gamma-0.1",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    {
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-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2986577181208054
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.43576041666666665
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3615359042553192
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_breadcrumbs_ties-density-0.9-gamma-0.01/708aded5-6252-44e3-bf0d-08bf3e7f32e0.json b/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_breadcrumbs_ties-density-0.9-gamma-0.01/708aded5-6252-44e3-bf0d-08bf3e7f32e0.json
new file mode 100644
index 000000000..987fd3b28
--- /dev/null
+++ b/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_breadcrumbs_ties-density-0.9-gamma-0.01/708aded5-6252-44e3-bf0d-08bf3e7f32e0.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/johnsutor_Llama-3-8B-Instruct_breadcrumbs_ties-density-0.9-gamma-0.01/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-3-8B-Instruct_breadcrumbs_ties-density-0.9-gamma-0.01",
+    "id": "johnsutor/Llama-3-8B-Instruct_breadcrumbs_ties-density-0.9-gamma-0.01",
+    "developer": "johnsutor",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2913
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4918
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0106
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3003
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4977
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3454
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_breadcrumbs_ties-density-0.9-gamma-0.01/a29cab83-e937-4a2a-a9fd-986fd1c67e03.json b/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_breadcrumbs_ties-density-0.9-gamma-0.01/a29cab83-e937-4a2a-a9fd-986fd1c67e03.json
deleted file mode 100644
index f85a722d4..000000000
--- a/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_breadcrumbs_ties-density-0.9-gamma-0.01/a29cab83-e937-4a2a-a9fd-986fd1c67e03.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/johnsutor_Llama-3-8B-Instruct_breadcrumbs_ties-density-0.9-gamma-0.01/1762652580.293625",
-  "retrieved_timestamp": "1762652580.293626",
-  "source_data": [
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-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "johnsutor/Llama-3-8B-Instruct_breadcrumbs_ties-density-0.9-gamma-0.01",
-    "developer": "johnsutor",
-    "inference_platform": "unknown",
-    "id": "johnsutor/Llama-3-8B-Instruct_breadcrumbs_ties-density-0.9-gamma-0.01",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
-        "score": 0.010574018126888218
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30033557046979864
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.34541223404255317
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-  ]
-}
diff --git a/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_breadcrumbs_ties-density-0.9-gamma-0.1/2aae97a9-6d0a-438d-9f74-e7a30e85face.json b/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_breadcrumbs_ties-density-0.9-gamma-0.1/2aae97a9-6d0a-438d-9f74-e7a30e85face.json
deleted file mode 100644
index f2bfa2092..000000000
--- a/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_breadcrumbs_ties-density-0.9-gamma-0.1/2aae97a9-6d0a-438d-9f74-e7a30e85face.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/johnsutor_Llama-3-8B-Instruct_breadcrumbs_ties-density-0.9-gamma-0.1/1762652580.293948",
-  "retrieved_timestamp": "1762652580.293949",
-  "source_data": [
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "johnsutor/Llama-3-8B-Instruct_breadcrumbs_ties-density-0.9-gamma-0.1",
-    "developer": "johnsutor",
-    "inference_platform": "unknown",
-    "id": "johnsutor/Llama-3-8B-Instruct_breadcrumbs_ties-density-0.9-gamma-0.1",
-    "additional_details": {
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-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
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-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
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-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
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-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-        "score": 0.3624501329787234
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diff --git a/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_breadcrumbs_ties-density-0.9-gamma-0.1/ce6d31f2-f38e-4af3-85a3-d2f6c80f71f1.json b/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_breadcrumbs_ties-density-0.9-gamma-0.1/ce6d31f2-f38e-4af3-85a3-d2f6c80f71f1.json
new file mode 100644
index 000000000..50c1000ff
--- /dev/null
+++ b/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_breadcrumbs_ties-density-0.9-gamma-0.1/ce6d31f2-f38e-4af3-85a3-d2f6c80f71f1.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/johnsutor_Llama-3-8B-Instruct_breadcrumbs_ties-density-0.9-gamma-0.1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-3-8B-Instruct_breadcrumbs_ties-density-0.9-gamma-0.1",
+    "id": "johnsutor/Llama-3-8B-Instruct_breadcrumbs_ties-density-0.9-gamma-0.1",
+    "developer": "johnsutor",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4162
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5139
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0778
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.297
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4317
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3625
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_dare_linear/060fe548-f690-4492-9c0f-ada0210b0386.json b/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_dare_linear/060fe548-f690-4492-9c0f-ada0210b0386.json
deleted file mode 100644
index 16ffa4816..000000000
--- a/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_dare_linear/060fe548-f690-4492-9c0f-ada0210b0386.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/johnsutor_Llama-3-8B-Instruct_dare_linear/1762652580.294196",
-  "retrieved_timestamp": "1762652580.294197",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "johnsutor/Llama-3-8B-Instruct_dare_linear",
-    "developer": "johnsutor",
-    "inference_platform": "unknown",
-    "id": "johnsutor/Llama-3-8B-Instruct_dare_linear",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.21454961723781787
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4282807940700452
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.0
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2961409395973154
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.49792708333333335
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.24143949468085107
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_dare_linear/5efcc291-ca9a-4ca9-b2ed-dab37dce5f5a.json b/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_dare_linear/5efcc291-ca9a-4ca9-b2ed-dab37dce5f5a.json
new file mode 100644
index 000000000..4cb808ae2
--- /dev/null
+++ b/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_dare_linear/5efcc291-ca9a-4ca9-b2ed-dab37dce5f5a.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/johnsutor_Llama-3-8B-Instruct_dare_linear/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-3-8B-Instruct_dare_linear",
+    "id": "johnsutor/Llama-3-8B-Instruct_dare_linear",
+    "developer": "johnsutor",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2145
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4283
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2961
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4979
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2414
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_dare_ties-density-0.1/47320824-8064-40d4-a08c-810faafbba77.json b/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_dare_ties-density-0.1/47320824-8064-40d4-a08c-810faafbba77.json
new file mode 100644
index 000000000..2aa16cb5b
--- /dev/null
+++ b/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_dare_ties-density-0.1/47320824-8064-40d4-a08c-810faafbba77.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/johnsutor_Llama-3-8B-Instruct_dare_ties-density-0.1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-3-8B-Instruct_dare_ties-density-0.1",
+    "id": "johnsutor/Llama-3-8B-Instruct_dare_ties-density-0.1",
+    "developer": "johnsutor",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1891
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4119
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0008
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2718
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4658
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2265
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_dare_ties-density-0.1/7d709f22-c4e8-4903-b924-a86728dcf26b.json b/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_dare_ties-density-0.1/7d709f22-c4e8-4903-b924-a86728dcf26b.json
deleted file mode 100644
index 533f3cf52..000000000
--- a/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_dare_ties-density-0.1/7d709f22-c4e8-4903-b924-a86728dcf26b.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/johnsutor_Llama-3-8B-Instruct_dare_ties-density-0.1/1762652580.2944481",
-  "retrieved_timestamp": "1762652580.2944489",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "johnsutor/Llama-3-8B-Instruct_dare_ties-density-0.1",
-    "developer": "johnsutor",
-    "inference_platform": "unknown",
-    "id": "johnsutor/Llama-3-8B-Instruct_dare_ties-density-0.1",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.18907055501624578
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41187360174735804
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.0007552870090634441
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.27181208053691275
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.46580208333333334
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-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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diff --git a/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_dare_ties-density-0.3/8baeef58-0ba6-4723-8f23-7a4c386f2cad.json b/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_dare_ties-density-0.3/8baeef58-0ba6-4723-8f23-7a4c386f2cad.json
new file mode 100644
index 000000000..0f28a208f
--- /dev/null
+++ b/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_dare_ties-density-0.3/8baeef58-0ba6-4723-8f23-7a4c386f2cad.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/johnsutor_Llama-3-8B-Instruct_dare_ties-density-0.3/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-3-8B-Instruct_dare_ties-density-0.3",
+    "id": "johnsutor/Llama-3-8B-Instruct_dare_ties-density-0.3",
+    "developer": "johnsutor",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2113
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4559
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0015
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.297
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5069
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.304
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_dare_ties-density-0.3/c45c03dd-efbe-4c86-a07d-e7831210e017.json b/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_dare_ties-density-0.3/c45c03dd-efbe-4c86-a07d-e7831210e017.json
deleted file mode 100644
index db7356fdf..000000000
--- a/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_dare_ties-density-0.3/c45c03dd-efbe-4c86-a07d-e7831210e017.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/johnsutor_Llama-3-8B-Instruct_dare_ties-density-0.3/1762652580.294691",
-  "retrieved_timestamp": "1762652580.294692",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
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-  "source_metadata": {
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "johnsutor/Llama-3-8B-Instruct_dare_ties-density-0.3",
-    "developer": "johnsutor",
-    "inference_platform": "unknown",
-    "id": "johnsutor/Llama-3-8B-Instruct_dare_ties-density-0.3",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-    {
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-        "lower_is_better": false,
-        "score_type": "continuous",
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-        "max_score": 1
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-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5069479166666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30402260638297873
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_dare_ties-density-0.7/0387ca63-1e31-4eaa-ac7c-35d417548c54.json b/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_dare_ties-density-0.7/0387ca63-1e31-4eaa-ac7c-35d417548c54.json
new file mode 100644
index 000000000..d8989fbe5
--- /dev/null
+++ b/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_dare_ties-density-0.7/0387ca63-1e31-4eaa-ac7c-35d417548c54.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/johnsutor_Llama-3-8B-Instruct_dare_ties-density-0.7/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-3-8B-Instruct_dare_ties-density-0.7",
+    "id": "johnsutor/Llama-3-8B-Instruct_dare_ties-density-0.7",
+    "developer": "johnsutor",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2034
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4723
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.003
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3037
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.511
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3148
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_dare_ties-density-0.7/3b51b346-a23c-4add-9623-86c9591eddd0.json b/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_dare_ties-density-0.7/3b51b346-a23c-4add-9623-86c9591eddd0.json
deleted file mode 100644
index fe5b91997..000000000
--- a/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_dare_ties-density-0.7/3b51b346-a23c-4add-9623-86c9591eddd0.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/johnsutor_Llama-3-8B-Instruct_dare_ties-density-0.7/1762652580.2949278",
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-  "source_data": [
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
-    "name": "johnsutor/Llama-3-8B-Instruct_dare_ties-density-0.7",
-    "developer": "johnsutor",
-    "inference_platform": "unknown",
-    "id": "johnsutor/Llama-3-8B-Instruct_dare_ties-density-0.7",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
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-  "evaluation_results": [
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-      "evaluation_name": "IFEval",
-      "metric_config": {
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-        "score_type": "continuous",
-        "min_score": 0,
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-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "BBH",
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-    {
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-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
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-        "score_type": "continuous",
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-        "max_score": 1
-      },
-      "score_details": {
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-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5110104166666667
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3148271276595745
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-}
diff --git a/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_dare_ties-density-0.9/35557106-88b1-4f6a-bf33-17ea6744f208.json b/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_dare_ties-density-0.9/35557106-88b1-4f6a-bf33-17ea6744f208.json
deleted file mode 100644
index ff762735e..000000000
--- a/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_dare_ties-density-0.9/35557106-88b1-4f6a-bf33-17ea6744f208.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/johnsutor_Llama-3-8B-Instruct_dare_ties-density-0.9/1762652580.29516",
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
-    "name": "johnsutor/Llama-3-8B-Instruct_dare_ties-density-0.9",
-    "developer": "johnsutor",
-    "inference_platform": "unknown",
-    "id": "johnsutor/Llama-3-8B-Instruct_dare_ties-density-0.9",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
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-}
diff --git a/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_dare_ties-density-0.9/733983fe-4b9c-47e6-963d-c57829b6f1af.json b/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_dare_ties-density-0.9/733983fe-4b9c-47e6-963d-c57829b6f1af.json
new file mode 100644
index 000000000..ad8724889
--- /dev/null
+++ b/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_dare_ties-density-0.9/733983fe-4b9c-47e6-963d-c57829b6f1af.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/johnsutor_Llama-3-8B-Instruct_dare_ties-density-0.9/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-3-8B-Instruct_dare_ties-density-0.9",
+    "id": "johnsutor/Llama-3-8B-Instruct_dare_ties-density-0.9",
+    "developer": "johnsutor",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2161
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4664
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0015
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3079
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.523
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3143
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_linear/80c4859d-8016-4650-939f-100ba2e6d808.json b/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_linear/80c4859d-8016-4650-939f-100ba2e6d808.json
new file mode 100644
index 000000000..011100dc4
--- /dev/null
+++ b/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_linear/80c4859d-8016-4650-939f-100ba2e6d808.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/johnsutor_Llama-3-8B-Instruct_linear/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-3-8B-Instruct_linear",
+    "id": "johnsutor/Llama-3-8B-Instruct_linear",
+    "developer": "johnsutor",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4308
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5031
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1005
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2953
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4097
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3712
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_linear/89b55a5a-8f83-4a87-906a-32c1e84b8220.json b/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_linear/89b55a5a-8f83-4a87-906a-32c1e84b8220.json
deleted file mode 100644
index d6b9a2a3b..000000000
--- a/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_linear/89b55a5a-8f83-4a87-906a-32c1e84b8220.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/johnsutor_Llama-3-8B-Instruct_linear/1762652580.295396",
-  "retrieved_timestamp": "1762652580.295396",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "johnsutor/Llama-3-8B-Instruct_linear",
-    "developer": "johnsutor",
-    "inference_platform": "unknown",
-    "id": "johnsutor/Llama-3-8B-Instruct_linear",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4308213318439518
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5031496839210309
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.10045317220543806
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2953020134228188
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.40971874999999996
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37117686170212766
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_ties-density-0.1/21724d3a-cc6c-43eb-9d69-46d8d91c97f8.json b/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_ties-density-0.1/21724d3a-cc6c-43eb-9d69-46d8d91c97f8.json
new file mode 100644
index 000000000..9778173ee
--- /dev/null
+++ b/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_ties-density-0.1/21724d3a-cc6c-43eb-9d69-46d8d91c97f8.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/johnsutor_Llama-3-8B-Instruct_ties-density-0.1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-3-8B-Instruct_ties-density-0.1",
+    "id": "johnsutor/Llama-3-8B-Instruct_ties-density-0.1",
+    "developer": "johnsutor",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4116
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5021
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0793
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2886
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4174
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.36
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_ties-density-0.1/ec8e412e-96e8-43ae-98e1-f605228f3f6d.json b/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_ties-density-0.1/ec8e412e-96e8-43ae-98e1-f605228f3f6d.json
deleted file mode 100644
index e317aadf8..000000000
--- a/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_ties-density-0.1/ec8e412e-96e8-43ae-98e1-f605228f3f6d.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/johnsutor_Llama-3-8B-Instruct_ties-density-0.1/1762652580.295634",
-  "retrieved_timestamp": "1762652580.295635",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "johnsutor/Llama-3-8B-Instruct_ties-density-0.1",
-    "developer": "johnsutor",
-    "inference_platform": "unknown",
-    "id": "johnsutor/Llama-3-8B-Instruct_ties-density-0.1",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41161229980895137
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5021445196013956
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.07930513595166164
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.28859060402684567
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.417375
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.36003989361702127
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_ties-density-0.3/29b19ca6-ec5f-4ef1-9721-cb2199661873.json b/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_ties-density-0.3/29b19ca6-ec5f-4ef1-9721-cb2199661873.json
deleted file mode 100644
index 532c261b2..000000000
--- a/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_ties-density-0.3/29b19ca6-ec5f-4ef1-9721-cb2199661873.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/johnsutor_Llama-3-8B-Instruct_ties-density-0.3/1762652580.29586",
-  "retrieved_timestamp": "1762652580.295861",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "johnsutor/Llama-3-8B-Instruct_ties-density-0.3",
-    "developer": "johnsutor",
-    "inference_platform": "unknown",
-    "id": "johnsutor/Llama-3-8B-Instruct_ties-density-0.3",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3626278274977061
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.49061122520005807
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.06722054380664652
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2961409395973154
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.40248958333333335
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.33211436170212766
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_ties-density-0.3/d781945e-e9df-4136-90cd-632f0bed6246.json b/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_ties-density-0.3/d781945e-e9df-4136-90cd-632f0bed6246.json
new file mode 100644
index 000000000..386af3f39
--- /dev/null
+++ b/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_ties-density-0.3/d781945e-e9df-4136-90cd-632f0bed6246.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/johnsutor_Llama-3-8B-Instruct_ties-density-0.3/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-3-8B-Instruct_ties-density-0.3",
+    "id": "johnsutor/Llama-3-8B-Instruct_ties-density-0.3",
+    "developer": "johnsutor",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3626
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4906
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0672
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2961
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4025
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3321
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_ties-density-0.5/12f38eb7-57be-45c6-a53a-9d4859413e94.json b/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_ties-density-0.5/12f38eb7-57be-45c6-a53a-9d4859413e94.json
deleted file mode 100644
index d8b1aa6ef..000000000
--- a/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_ties-density-0.5/12f38eb7-57be-45c6-a53a-9d4859413e94.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/johnsutor_Llama-3-8B-Instruct_ties-density-0.5/1762652580.2960892",
-  "retrieved_timestamp": "1762652580.2960901",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "johnsutor/Llama-3-8B-Instruct_ties-density-0.5",
-    "developer": "johnsutor",
-    "inference_platform": "unknown",
-    "id": "johnsutor/Llama-3-8B-Instruct_ties-density-0.5",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37966373666316483
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.47931248948849836
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.06117824773413897
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30453020134228187
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3879791666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.31748670212765956
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_ties-density-0.5/8f146bb5-dd4d-49ce-ac60-76f66321feb8.json b/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_ties-density-0.5/8f146bb5-dd4d-49ce-ac60-76f66321feb8.json
new file mode 100644
index 000000000..dfb672445
--- /dev/null
+++ b/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_ties-density-0.5/8f146bb5-dd4d-49ce-ac60-76f66321feb8.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/johnsutor_Llama-3-8B-Instruct_ties-density-0.5/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-3-8B-Instruct_ties-density-0.5",
+    "id": "johnsutor/Llama-3-8B-Instruct_ties-density-0.5",
+    "developer": "johnsutor",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3797
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4793
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0612
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3045
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.388
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3175
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_ties-density-0.7/22ae576f-6bec-450f-812f-4315779be0a1.json b/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_ties-density-0.7/22ae576f-6bec-450f-812f-4315779be0a1.json
deleted file mode 100644
index 6517b84bb..000000000
--- a/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_ties-density-0.7/22ae576f-6bec-450f-812f-4315779be0a1.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/johnsutor_Llama-3-8B-Instruct_ties-density-0.7/1762652580.296313",
-  "retrieved_timestamp": "1762652580.296314",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "johnsutor/Llama-3-8B-Instruct_ties-density-0.7",
-    "developer": "johnsutor",
-    "inference_platform": "unknown",
-    "id": "johnsutor/Llama-3-8B-Instruct_ties-density-0.7",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3681232463197649
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4738186124296502
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.06722054380664652
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30956375838926176
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3880729166666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3152426861702128
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_ties-density-0.7/89bfba6d-c622-445e-b0b9-512aadcea7cf.json b/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_ties-density-0.7/89bfba6d-c622-445e-b0b9-512aadcea7cf.json
new file mode 100644
index 000000000..5246939f3
--- /dev/null
+++ b/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_ties-density-0.7/89bfba6d-c622-445e-b0b9-512aadcea7cf.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/johnsutor_Llama-3-8B-Instruct_ties-density-0.7/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-3-8B-Instruct_ties-density-0.7",
+    "id": "johnsutor/Llama-3-8B-Instruct_ties-density-0.7",
+    "developer": "johnsutor",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3681
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4738
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0672
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3096
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3881
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3152
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_ties-density-0.9/76c364c1-1e67-4536-8f23-85f84f0cd554.json b/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_ties-density-0.9/76c364c1-1e67-4536-8f23-85f84f0cd554.json
deleted file mode 100644
index 47aed9064..000000000
--- a/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_ties-density-0.9/76c364c1-1e67-4536-8f23-85f84f0cd554.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/johnsutor_Llama-3-8B-Instruct_ties-density-0.9/1762652580.296535",
-  "retrieved_timestamp": "1762652580.296536",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "johnsutor/Llama-3-8B-Instruct_ties-density-0.9",
-    "developer": "johnsutor",
-    "inference_platform": "unknown",
-    "id": "johnsutor/Llama-3-8B-Instruct_ties-density-0.9",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3858085435533274
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.47354321136013144
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.061933534743202415
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.29949664429530204
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3880416666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3181515957446808
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_ties-density-0.9/9c27f2e6-ebbe-4fac-bc51-74455d3a6512.json b/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_ties-density-0.9/9c27f2e6-ebbe-4fac-bc51-74455d3a6512.json
new file mode 100644
index 000000000..248669cbb
--- /dev/null
+++ b/data/hfopenllm_v2/johnsutor/Llama-3-8B-Instruct_ties-density-0.9/9c27f2e6-ebbe-4fac-bc51-74455d3a6512.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/johnsutor_Llama-3-8B-Instruct_ties-density-0.9/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-3-8B-Instruct_ties-density-0.9",
+    "id": "johnsutor/Llama-3-8B-Instruct_ties-density-0.9",
+    "developer": "johnsutor",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3858
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4735
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0619
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2995
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.388
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3182
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jpacifico/Chocolatine-14B-Instruct-4k-DPO/455ef1e0-bdf2-49bf-a53d-2c9e3d00d5f3.json b/data/hfopenllm_v2/jpacifico/Chocolatine-14B-Instruct-4k-DPO/455ef1e0-bdf2-49bf-a53d-2c9e3d00d5f3.json
new file mode 100644
index 000000000..300e25443
--- /dev/null
+++ b/data/hfopenllm_v2/jpacifico/Chocolatine-14B-Instruct-4k-DPO/455ef1e0-bdf2-49bf-a53d-2c9e3d00d5f3.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jpacifico_Chocolatine-14B-Instruct-4k-DPO/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Chocolatine-14B-Instruct-4k-DPO",
+    "id": "jpacifico/Chocolatine-14B-Instruct-4k-DPO",
+    "developer": "jpacifico",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Phi3ForCausalLM",
+      "params_billions": 13.96
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4689
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.63
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1782
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3414
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4439
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4764
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jpacifico/Chocolatine-14B-Instruct-4k-DPO/fe0cfe19-b019-459e-a71d-46d55612a95e.json b/data/hfopenllm_v2/jpacifico/Chocolatine-14B-Instruct-4k-DPO/fe0cfe19-b019-459e-a71d-46d55612a95e.json
deleted file mode 100644
index 3bc4db22a..000000000
--- a/data/hfopenllm_v2/jpacifico/Chocolatine-14B-Instruct-4k-DPO/fe0cfe19-b019-459e-a71d-46d55612a95e.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jpacifico_Chocolatine-14B-Instruct-4k-DPO/1762652580.296761",
-  "retrieved_timestamp": "1762652580.2967622",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jpacifico/Chocolatine-14B-Instruct-4k-DPO",
-    "developer": "jpacifico",
-    "inference_platform": "unknown",
-    "id": "jpacifico/Chocolatine-14B-Instruct-4k-DPO",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Phi3ForCausalLM",
-      "params_billions": 13.96
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4688648341954902
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3414429530201342
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.44388541666666664
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4763962765957447
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jpacifico/Chocolatine-14B-Instruct-DPO-v1.2/aae9e150-7992-4241-91af-0c55d03d709f.json b/data/hfopenllm_v2/jpacifico/Chocolatine-14B-Instruct-DPO-v1.2/aae9e150-7992-4241-91af-0c55d03d709f.json
deleted file mode 100644
index 0d43d76b8..000000000
--- a/data/hfopenllm_v2/jpacifico/Chocolatine-14B-Instruct-DPO-v1.2/aae9e150-7992-4241-91af-0c55d03d709f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jpacifico_Chocolatine-14B-Instruct-DPO-v1.2/1762652580.297051",
-  "retrieved_timestamp": "1762652580.297052",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jpacifico/Chocolatine-14B-Instruct-DPO-v1.2",
-    "developer": "jpacifico",
-    "inference_platform": "unknown",
-    "id": "jpacifico/Chocolatine-14B-Instruct-DPO-v1.2",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Phi3ForCausalLM",
-      "params_billions": 13.96
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6852107962428579
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6438408959901142
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.20921450151057402
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.32550335570469796
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4267708333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.46966422872340424
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jpacifico/Chocolatine-14B-Instruct-DPO-v1.2/e04a76a6-ac22-43b2-bbf9-196a08de2949.json b/data/hfopenllm_v2/jpacifico/Chocolatine-14B-Instruct-DPO-v1.2/e04a76a6-ac22-43b2-bbf9-196a08de2949.json
new file mode 100644
index 000000000..ec8836b29
--- /dev/null
+++ b/data/hfopenllm_v2/jpacifico/Chocolatine-14B-Instruct-DPO-v1.2/e04a76a6-ac22-43b2-bbf9-196a08de2949.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jpacifico_Chocolatine-14B-Instruct-DPO-v1.2/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Chocolatine-14B-Instruct-DPO-v1.2",
+    "id": "jpacifico/Chocolatine-14B-Instruct-DPO-v1.2",
+    "developer": "jpacifico",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Phi3ForCausalLM",
+      "params_billions": 13.96
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6852
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6438
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2092
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3255
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4268
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4697
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jpacifico/Chocolatine-14B-Instruct-DPO-v1.3/2fcb74f0-add1-4d46-8a0f-8578a616dbed.json b/data/hfopenllm_v2/jpacifico/Chocolatine-14B-Instruct-DPO-v1.3/2fcb74f0-add1-4d46-8a0f-8578a616dbed.json
new file mode 100644
index 000000000..e3fa490e4
--- /dev/null
+++ b/data/hfopenllm_v2/jpacifico/Chocolatine-14B-Instruct-DPO-v1.3/2fcb74f0-add1-4d46-8a0f-8578a616dbed.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jpacifico_Chocolatine-14B-Instruct-DPO-v1.3/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Chocolatine-14B-Instruct-DPO-v1.3",
+    "id": "jpacifico/Chocolatine-14B-Instruct-DPO-v1.3",
+    "developer": "jpacifico",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Phi3ForCausalLM",
+      "params_billions": 14.66
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.704
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6846
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5619
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3414
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4234
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5374
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jpacifico/Chocolatine-14B-Instruct-DPO-v1.3/b56c681a-592f-491a-aa0a-030848356563.json b/data/hfopenllm_v2/jpacifico/Chocolatine-14B-Instruct-DPO-v1.3/b56c681a-592f-491a-aa0a-030848356563.json
deleted file mode 100644
index 99c81539a..000000000
--- a/data/hfopenllm_v2/jpacifico/Chocolatine-14B-Instruct-DPO-v1.3/b56c681a-592f-491a-aa0a-030848356563.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jpacifico_Chocolatine-14B-Instruct-DPO-v1.3/1762652580.2973812",
-  "retrieved_timestamp": "1762652580.297384",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jpacifico/Chocolatine-14B-Instruct-DPO-v1.3",
-    "developer": "jpacifico",
-    "inference_platform": "unknown",
-    "id": "jpacifico/Chocolatine-14B-Instruct-DPO-v1.3",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Phi3ForCausalLM",
-      "params_billions": 14.66
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.703995398874985
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6846125547592651
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5619335347432024
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3414429530201342
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42339583333333336
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5374002659574468
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jpacifico/Chocolatine-2-14B-Instruct-DPO-v2.0b1/51530638-ef76-43ce-9396-8a0d07988712.json b/data/hfopenllm_v2/jpacifico/Chocolatine-2-14B-Instruct-DPO-v2.0b1/51530638-ef76-43ce-9396-8a0d07988712.json
new file mode 100644
index 000000000..a7ff62b04
--- /dev/null
+++ b/data/hfopenllm_v2/jpacifico/Chocolatine-2-14B-Instruct-DPO-v2.0b1/51530638-ef76-43ce-9396-8a0d07988712.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jpacifico_Chocolatine-2-14B-Instruct-DPO-v2.0b1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Chocolatine-2-14B-Instruct-DPO-v2.0b1",
+    "id": "jpacifico/Chocolatine-2-14B-Instruct-DPO-v2.0b1",
+    "developer": "jpacifico",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 14.66
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1033
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6696
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2757
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3758
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4467
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5124
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jpacifico/Chocolatine-2-14B-Instruct-DPO-v2.0b1/9ae740a8-6d7c-438c-942f-11ac0f6cbe79.json b/data/hfopenllm_v2/jpacifico/Chocolatine-2-14B-Instruct-DPO-v2.0b1/9ae740a8-6d7c-438c-942f-11ac0f6cbe79.json
deleted file mode 100644
index 404500275..000000000
--- a/data/hfopenllm_v2/jpacifico/Chocolatine-2-14B-Instruct-DPO-v2.0b1/9ae740a8-6d7c-438c-942f-11ac0f6cbe79.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jpacifico_Chocolatine-2-14B-Instruct-DPO-v2.0b1/1762652580.2977622",
-  "retrieved_timestamp": "1762652580.297763",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jpacifico/Chocolatine-2-14B-Instruct-DPO-v2.0b1",
-    "developer": "jpacifico",
-    "inference_platform": "unknown",
-    "id": "jpacifico/Chocolatine-2-14B-Instruct-DPO-v2.0b1",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 14.66
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.10334024831890495
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.669567432054888
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2756797583081571
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37583892617449666
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.44673958333333336
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5123836436170213
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jpacifico/Chocolatine-2-14B-Instruct-v2.0.1/74d99e4d-0e6f-4804-aa52-0dc76d37fac3.json b/data/hfopenllm_v2/jpacifico/Chocolatine-2-14B-Instruct-v2.0.1/74d99e4d-0e6f-4804-aa52-0dc76d37fac3.json
new file mode 100644
index 000000000..1b5b639c2
--- /dev/null
+++ b/data/hfopenllm_v2/jpacifico/Chocolatine-2-14B-Instruct-v2.0.1/74d99e4d-0e6f-4804-aa52-0dc76d37fac3.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jpacifico_Chocolatine-2-14B-Instruct-v2.0.1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Chocolatine-2-14B-Instruct-v2.0.1",
+    "id": "jpacifico/Chocolatine-2-14B-Instruct-v2.0.1",
+    "developer": "jpacifico",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 14.66
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0742
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6736
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4796
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3918
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5008
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5299
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jpacifico/Chocolatine-2-14B-Instruct-v2.0.1/c68ca8a7-07d8-4295-a535-a573fc3893b7.json b/data/hfopenllm_v2/jpacifico/Chocolatine-2-14B-Instruct-v2.0.1/c68ca8a7-07d8-4295-a535-a573fc3893b7.json
deleted file mode 100644
index 2733a88fe..000000000
--- a/data/hfopenllm_v2/jpacifico/Chocolatine-2-14B-Instruct-v2.0.1/c68ca8a7-07d8-4295-a535-a573fc3893b7.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jpacifico_Chocolatine-2-14B-Instruct-v2.0.1/1762652580.298285",
-  "retrieved_timestamp": "1762652580.2982872",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jpacifico/Chocolatine-2-14B-Instruct-v2.0.1",
-    "developer": "jpacifico",
-    "inference_platform": "unknown",
-    "id": "jpacifico/Chocolatine-2-14B-Instruct-v2.0.1",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 14.66
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.07421419611076388
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6736278064166185
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.479607250755287
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.39177852348993286
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.50075
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5299202127659575
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jpacifico/Chocolatine-2-14B-Instruct-v2.0.3/80e8b9f0-b507-4927-9d24-1c793e3783cc.json b/data/hfopenllm_v2/jpacifico/Chocolatine-2-14B-Instruct-v2.0.3/80e8b9f0-b507-4927-9d24-1c793e3783cc.json
new file mode 100644
index 000000000..a34d92883
--- /dev/null
+++ b/data/hfopenllm_v2/jpacifico/Chocolatine-2-14B-Instruct-v2.0.3/80e8b9f0-b507-4927-9d24-1c793e3783cc.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jpacifico_Chocolatine-2-14B-Instruct-v2.0.3/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Chocolatine-2-14B-Instruct-v2.0.3",
+    "id": "jpacifico/Chocolatine-2-14B-Instruct-v2.0.3",
+    "developer": "jpacifico",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.766
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7037
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6548
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4207
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3792
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4768
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5374
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jpacifico/Chocolatine-2-14B-Instruct-v2.0.3/ccf2d437-d3e3-4a53-9249-e6df2fd04f49.json b/data/hfopenllm_v2/jpacifico/Chocolatine-2-14B-Instruct-v2.0.3/ccf2d437-d3e3-4a53-9249-e6df2fd04f49.json
deleted file mode 100644
index b4ec98edb..000000000
--- a/data/hfopenllm_v2/jpacifico/Chocolatine-2-14B-Instruct-v2.0.3/ccf2d437-d3e3-4a53-9249-e6df2fd04f49.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jpacifico_Chocolatine-2-14B-Instruct-v2.0.3/1762652580.298579",
-  "retrieved_timestamp": "1762652580.29858",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jpacifico/Chocolatine-2-14B-Instruct-v2.0.3",
-    "developer": "jpacifico",
-    "inference_platform": "unknown",
-    "id": "jpacifico/Chocolatine-2-14B-Instruct-v2.0.3",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 14.766
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7037205725253439
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6548026688308357
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4206948640483384
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37919463087248323
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.47681250000000003
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5374002659574468
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jpacifico/Chocolatine-2-14B-Instruct-v2.0/7b037520-a5e9-4b58-80f3-f0ecc5957c67.json b/data/hfopenllm_v2/jpacifico/Chocolatine-2-14B-Instruct-v2.0/7b037520-a5e9-4b58-80f3-f0ecc5957c67.json
new file mode 100644
index 000000000..157f2eb32
--- /dev/null
+++ b/data/hfopenllm_v2/jpacifico/Chocolatine-2-14B-Instruct-v2.0/7b037520-a5e9-4b58-80f3-f0ecc5957c67.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jpacifico_Chocolatine-2-14B-Instruct-v2.0/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Chocolatine-2-14B-Instruct-v2.0",
+    "id": "jpacifico/Chocolatine-2-14B-Instruct-v2.0",
+    "developer": "jpacifico",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 14.66
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0885
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.677
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4804
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3876
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5021
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5302
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jpacifico/Chocolatine-2-14B-Instruct-v2.0/85b8aede-7eb3-4997-9529-2f7d4603fb9e.json b/data/hfopenllm_v2/jpacifico/Chocolatine-2-14B-Instruct-v2.0/85b8aede-7eb3-4997-9529-2f7d4603fb9e.json
deleted file mode 100644
index 34973b279..000000000
--- a/data/hfopenllm_v2/jpacifico/Chocolatine-2-14B-Instruct-v2.0/85b8aede-7eb3-4997-9529-2f7d4603fb9e.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jpacifico_Chocolatine-2-14B-Instruct-v2.0/1762652580.2980192",
-  "retrieved_timestamp": "1762652580.2980192",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jpacifico/Chocolatine-2-14B-Instruct-v2.0",
-    "developer": "jpacifico",
-    "inference_platform": "unknown",
-    "id": "jpacifico/Chocolatine-2-14B-Instruct-v2.0",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 14.66
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.0885273297073986
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6769929749559443
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.48036253776435045
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3875838926174497
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5021145833333334
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5301695478723404
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jpacifico/Chocolatine-2-14B-Instruct-v2.0b2/10b88d05-62d2-4603-9d04-b0854e39ed40.json b/data/hfopenllm_v2/jpacifico/Chocolatine-2-14B-Instruct-v2.0b2/10b88d05-62d2-4603-9d04-b0854e39ed40.json
new file mode 100644
index 000000000..eb93d587d
--- /dev/null
+++ b/data/hfopenllm_v2/jpacifico/Chocolatine-2-14B-Instruct-v2.0b2/10b88d05-62d2-4603-9d04-b0854e39ed40.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jpacifico_Chocolatine-2-14B-Instruct-v2.0b2/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Chocolatine-2-14B-Instruct-v2.0b2",
+    "id": "jpacifico/Chocolatine-2-14B-Instruct-v2.0b2",
+    "developer": "jpacifico",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.766
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7241
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6476
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.395
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3834
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4808
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5369
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jpacifico/Chocolatine-2-14B-Instruct-v2.0b2/6837502d-0f08-48d8-b85e-70f3e07a2531.json b/data/hfopenllm_v2/jpacifico/Chocolatine-2-14B-Instruct-v2.0b2/6837502d-0f08-48d8-b85e-70f3e07a2531.json
deleted file mode 100644
index 5595dfdd7..000000000
--- a/data/hfopenllm_v2/jpacifico/Chocolatine-2-14B-Instruct-v2.0b2/6837502d-0f08-48d8-b85e-70f3e07a2531.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jpacifico_Chocolatine-2-14B-Instruct-v2.0b2/1762652580.298837",
-  "retrieved_timestamp": "1762652580.298838",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jpacifico/Chocolatine-2-14B-Instruct-v2.0b2",
-    "developer": "jpacifico",
-    "inference_platform": "unknown",
-    "id": "jpacifico/Chocolatine-2-14B-Instruct-v2.0b2",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 14.766
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7240787776433197
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6475822300543483
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3950151057401813
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.38338926174496646
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.48075
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5369015957446809
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jpacifico/Chocolatine-2-14B-Instruct-v2.0b3/4b693f41-d811-4b64-892c-d840eee5ace4.json b/data/hfopenllm_v2/jpacifico/Chocolatine-2-14B-Instruct-v2.0b3/4b693f41-d811-4b64-892c-d840eee5ace4.json
new file mode 100644
index 000000000..d9d2d02b9
--- /dev/null
+++ b/data/hfopenllm_v2/jpacifico/Chocolatine-2-14B-Instruct-v2.0b3/4b693f41-d811-4b64-892c-d840eee5ace4.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jpacifico_Chocolatine-2-14B-Instruct-v2.0b3/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Chocolatine-2-14B-Instruct-v2.0b3",
+    "id": "jpacifico/Chocolatine-2-14B-Instruct-v2.0b3",
+    "developer": "jpacifico",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.766
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7323
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6469
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4109
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3792
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4781
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5337
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jpacifico/Chocolatine-2-14B-Instruct-v2.0b3/f345f9cb-7233-4f4e-8e8b-a0b607502d1d.json b/data/hfopenllm_v2/jpacifico/Chocolatine-2-14B-Instruct-v2.0b3/f345f9cb-7233-4f4e-8e8b-a0b607502d1d.json
deleted file mode 100644
index c6f333e23..000000000
--- a/data/hfopenllm_v2/jpacifico/Chocolatine-2-14B-Instruct-v2.0b3/f345f9cb-7233-4f4e-8e8b-a0b607502d1d.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jpacifico_Chocolatine-2-14B-Instruct-v2.0b3/1762652580.2990808",
-  "retrieved_timestamp": "1762652580.299082",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jpacifico/Chocolatine-2-14B-Instruct-v2.0b3",
-    "developer": "jpacifico",
-    "inference_platform": "unknown",
-    "id": "jpacifico/Chocolatine-2-14B-Instruct-v2.0b3",
-    "additional_details": {
-      "precision": "float16",
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-        "lower_is_better": false,
-        "score_type": "continuous",
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-}
diff --git a/data/hfopenllm_v2/jpacifico/Chocolatine-3B-Instruct-DPO-Revised/08a646ba-9b4a-483e-8adf-f4e203a9be5d.json b/data/hfopenllm_v2/jpacifico/Chocolatine-3B-Instruct-DPO-Revised/08a646ba-9b4a-483e-8adf-f4e203a9be5d.json
deleted file mode 100644
index a313c90ad..000000000
--- a/data/hfopenllm_v2/jpacifico/Chocolatine-3B-Instruct-DPO-Revised/08a646ba-9b4a-483e-8adf-f4e203a9be5d.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jpacifico_Chocolatine-3B-Instruct-DPO-Revised/1762652580.299312",
-  "retrieved_timestamp": "1762652580.299314",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jpacifico/Chocolatine-3B-Instruct-DPO-Revised",
-    "developer": "jpacifico",
-    "inference_platform": "unknown",
-    "id": "jpacifico/Chocolatine-3B-Instruct-DPO-Revised",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Phi3ForCausalLM",
-      "params_billions": 3.821
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5622625744136669
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5539982344792619
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.18051359516616314
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3221476510067114
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.44534375
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3988530585106383
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jpacifico/Chocolatine-3B-Instruct-DPO-Revised/90d86c8c-3aa6-42ba-a94f-75c961e65c41.json b/data/hfopenllm_v2/jpacifico/Chocolatine-3B-Instruct-DPO-Revised/90d86c8c-3aa6-42ba-a94f-75c961e65c41.json
new file mode 100644
index 000000000..5f96bd801
--- /dev/null
+++ b/data/hfopenllm_v2/jpacifico/Chocolatine-3B-Instruct-DPO-Revised/90d86c8c-3aa6-42ba-a94f-75c961e65c41.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jpacifico_Chocolatine-3B-Instruct-DPO-Revised/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Chocolatine-3B-Instruct-DPO-Revised",
+    "id": "jpacifico/Chocolatine-3B-Instruct-DPO-Revised",
+    "developer": "jpacifico",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Phi3ForCausalLM",
+      "params_billions": 3.821
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5623
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.554
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1805
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3221
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4453
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3989
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jpacifico/Chocolatine-3B-Instruct-DPO-v1.0/7f969b69-cb14-4291-a15f-60f2b56e23ad.json b/data/hfopenllm_v2/jpacifico/Chocolatine-3B-Instruct-DPO-v1.0/7f969b69-cb14-4291-a15f-60f2b56e23ad.json
deleted file mode 100644
index ccf2f125d..000000000
--- a/data/hfopenllm_v2/jpacifico/Chocolatine-3B-Instruct-DPO-v1.0/7f969b69-cb14-4291-a15f-60f2b56e23ad.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/jpacifico_Chocolatine-3B-Instruct-DPO-v1.0/1762652580.29967",
-  "retrieved_timestamp": "1762652580.299671",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jpacifico/Chocolatine-3B-Instruct-DPO-v1.0",
-    "developer": "jpacifico",
-    "inference_platform": "unknown",
-    "id": "jpacifico/Chocolatine-3B-Instruct-DPO-v1.0",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Phi3ForCausalLM",
-      "params_billions": 3.821
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3737184005106451
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5471398082537478
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1782477341389728
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.31543624161073824
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4754791666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3937001329787234
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jpacifico/Chocolatine-3B-Instruct-DPO-v1.0/8318ae52-6ae3-45ce-82db-73f8cb5ad7c7.json b/data/hfopenllm_v2/jpacifico/Chocolatine-3B-Instruct-DPO-v1.0/8318ae52-6ae3-45ce-82db-73f8cb5ad7c7.json
new file mode 100644
index 000000000..8e9903c3a
--- /dev/null
+++ b/data/hfopenllm_v2/jpacifico/Chocolatine-3B-Instruct-DPO-v1.0/8318ae52-6ae3-45ce-82db-73f8cb5ad7c7.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jpacifico_Chocolatine-3B-Instruct-DPO-v1.0/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Chocolatine-3B-Instruct-DPO-v1.0",
+    "id": "jpacifico/Chocolatine-3B-Instruct-DPO-v1.0",
+    "developer": "jpacifico",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Phi3ForCausalLM",
+      "params_billions": 3.821
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3737
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5471
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1782
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3154
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4755
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3937
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jpacifico/Chocolatine-3B-Instruct-DPO-v1.2/b20a1d13-2f14-42e4-bdde-49f053cef325.json b/data/hfopenllm_v2/jpacifico/Chocolatine-3B-Instruct-DPO-v1.2/b20a1d13-2f14-42e4-bdde-49f053cef325.json
new file mode 100644
index 000000000..ae3e1be3f
--- /dev/null
+++ b/data/hfopenllm_v2/jpacifico/Chocolatine-3B-Instruct-DPO-v1.2/b20a1d13-2f14-42e4-bdde-49f053cef325.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jpacifico_Chocolatine-3B-Instruct-DPO-v1.2/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Chocolatine-3B-Instruct-DPO-v1.2",
+    "id": "jpacifico/Chocolatine-3B-Instruct-DPO-v1.2",
+    "developer": "jpacifico",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Phi3ForCausalLM",
+      "params_billions": 3.821
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5455
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5487
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2047
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3389
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4154
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3877
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jpacifico/Chocolatine-3B-Instruct-DPO-v1.2/f34988e6-20f5-4d77-9233-70d5bc6193fb.json b/data/hfopenllm_v2/jpacifico/Chocolatine-3B-Instruct-DPO-v1.2/f34988e6-20f5-4d77-9233-70d5bc6193fb.json
deleted file mode 100644
index 8aec695ed..000000000
--- a/data/hfopenllm_v2/jpacifico/Chocolatine-3B-Instruct-DPO-v1.2/f34988e6-20f5-4d77-9233-70d5bc6193fb.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jpacifico_Chocolatine-3B-Instruct-DPO-v1.2/1762652580.300061",
-  "retrieved_timestamp": "1762652580.300063",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jpacifico/Chocolatine-3B-Instruct-DPO-v1.2",
-    "developer": "jpacifico",
-    "inference_platform": "unknown",
-    "id": "jpacifico/Chocolatine-3B-Instruct-DPO-v1.2",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Phi3ForCausalLM",
-      "params_billions": 3.821
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5455014915978493
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5487182027245813
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.20468277945619334
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3389261744966443
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41542708333333334
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3877160904255319
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jpacifico/Distilucie-7B-Math-Instruct-DPO-v0.1/51521dfb-d4b5-45df-ac2a-54190aed0b9f.json b/data/hfopenllm_v2/jpacifico/Distilucie-7B-Math-Instruct-DPO-v0.1/51521dfb-d4b5-45df-ac2a-54190aed0b9f.json
new file mode 100644
index 000000000..e3a74e372
--- /dev/null
+++ b/data/hfopenllm_v2/jpacifico/Distilucie-7B-Math-Instruct-DPO-v0.1/51521dfb-d4b5-45df-ac2a-54190aed0b9f.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jpacifico_Distilucie-7B-Math-Instruct-DPO-v0.1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Distilucie-7B-Math-Instruct-DPO-v0.1",
+    "id": "jpacifico/Distilucie-7B-Math-Instruct-DPO-v0.1",
+    "developer": "jpacifico",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 6.707
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3048
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3835
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0257
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2995
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3644
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1809
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jpacifico/Distilucie-7B-Math-Instruct-DPO-v0.1/8ea866ce-c4a8-4981-b221-ee7b2dc898cd.json b/data/hfopenllm_v2/jpacifico/Distilucie-7B-Math-Instruct-DPO-v0.1/8ea866ce-c4a8-4981-b221-ee7b2dc898cd.json
deleted file mode 100644
index ba22ed627..000000000
--- a/data/hfopenllm_v2/jpacifico/Distilucie-7B-Math-Instruct-DPO-v0.1/8ea866ce-c4a8-4981-b221-ee7b2dc898cd.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jpacifico_Distilucie-7B-Math-Instruct-DPO-v0.1/1762652580.300392",
-  "retrieved_timestamp": "1762652580.3003929",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jpacifico/Distilucie-7B-Math-Instruct-DPO-v0.1",
-    "developer": "jpacifico",
-    "inference_platform": "unknown",
-    "id": "jpacifico/Distilucie-7B-Math-Instruct-DPO-v0.1",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 6.707
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30475028479988653
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.38346961466103785
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.0256797583081571
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.29949664429530204
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3644479166666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1809341755319149
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jpacifico/Lucie-7B-Instruct-DPO-v1.1.3/643a510c-b9f4-4222-a1b0-09d7d5434de8.json b/data/hfopenllm_v2/jpacifico/Lucie-7B-Instruct-DPO-v1.1.3/643a510c-b9f4-4222-a1b0-09d7d5434de8.json
deleted file mode 100644
index ecaefae4f..000000000
--- a/data/hfopenllm_v2/jpacifico/Lucie-7B-Instruct-DPO-v1.1.3/643a510c-b9f4-4222-a1b0-09d7d5434de8.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jpacifico_Lucie-7B-Instruct-DPO-v1.1.3/1762652580.3010209",
-  "retrieved_timestamp": "1762652580.301022",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jpacifico/Lucie-7B-Instruct-DPO-v1.1.3",
-    "developer": "jpacifico",
-    "inference_platform": "unknown",
-    "id": "jpacifico/Lucie-7B-Instruct-DPO-v1.1.3",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 6.707
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3044754584502453
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.381900181819828
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.02416918429003021
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2860738255033557
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.38178124999999996
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1763630319148936
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jpacifico/Lucie-7B-Instruct-DPO-v1.1.3/997a1ceb-185a-4e6c-8383-eb5a6f976771.json b/data/hfopenllm_v2/jpacifico/Lucie-7B-Instruct-DPO-v1.1.3/997a1ceb-185a-4e6c-8383-eb5a6f976771.json
new file mode 100644
index 000000000..524704add
--- /dev/null
+++ b/data/hfopenllm_v2/jpacifico/Lucie-7B-Instruct-DPO-v1.1.3/997a1ceb-185a-4e6c-8383-eb5a6f976771.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jpacifico_Lucie-7B-Instruct-DPO-v1.1.3/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Lucie-7B-Instruct-DPO-v1.1.3",
+    "id": "jpacifico/Lucie-7B-Instruct-DPO-v1.1.3",
+    "developer": "jpacifico",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 6.707
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3045
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3819
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0242
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2861
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3818
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1764
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jpacifico/Lucie-7B-Instruct-DPO-v1.1/22101998-c3d3-414f-9ed1-99330cdbe3b2.json b/data/hfopenllm_v2/jpacifico/Lucie-7B-Instruct-DPO-v1.1/22101998-c3d3-414f-9ed1-99330cdbe3b2.json
new file mode 100644
index 000000000..da8506358
--- /dev/null
+++ b/data/hfopenllm_v2/jpacifico/Lucie-7B-Instruct-DPO-v1.1/22101998-c3d3-414f-9ed1-99330cdbe3b2.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jpacifico_Lucie-7B-Instruct-DPO-v1.1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Lucie-7B-Instruct-DPO-v1.1",
+    "id": "jpacifico/Lucie-7B-Instruct-DPO-v1.1",
+    "developer": "jpacifico",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 6.707
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3121
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3781
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0234
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2878
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4016
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1838
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jpacifico/Lucie-7B-Instruct-DPO-v1.1/ad0aa0da-dac4-42a9-ae62-ebe03aa40643.json b/data/hfopenllm_v2/jpacifico/Lucie-7B-Instruct-DPO-v1.1/ad0aa0da-dac4-42a9-ae62-ebe03aa40643.json
deleted file mode 100644
index c8c5dd15d..000000000
--- a/data/hfopenllm_v2/jpacifico/Lucie-7B-Instruct-DPO-v1.1/ad0aa0da-dac4-42a9-ae62-ebe03aa40643.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jpacifico_Lucie-7B-Instruct-DPO-v1.1/1762652580.300676",
-  "retrieved_timestamp": "1762652580.300677",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jpacifico/Lucie-7B-Instruct-DPO-v1.1",
-    "developer": "jpacifico",
-    "inference_platform": "unknown",
-    "id": "jpacifico/Lucie-7B-Instruct-DPO-v1.1",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 6.707
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.31209413245743517
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37810118011411814
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.023413897280966767
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.287751677852349
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.40159374999999997
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.18375997340425532
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jpacifico/Lucie-7B-Instruct-Merged-Model_Stock-v1.0/a2408953-a7eb-449c-b80c-3620915d44d0.json b/data/hfopenllm_v2/jpacifico/Lucie-7B-Instruct-Merged-Model_Stock-v1.0/a2408953-a7eb-449c-b80c-3620915d44d0.json
new file mode 100644
index 000000000..95eaddbfc
--- /dev/null
+++ b/data/hfopenllm_v2/jpacifico/Lucie-7B-Instruct-Merged-Model_Stock-v1.0/a2408953-a7eb-449c-b80c-3620915d44d0.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jpacifico_Lucie-7B-Instruct-Merged-Model_Stock-v1.0/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Lucie-7B-Instruct-Merged-Model_Stock-v1.0",
+    "id": "jpacifico/Lucie-7B-Instruct-Merged-Model_Stock-v1.0",
+    "developer": "jpacifico",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 6.707
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3234
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3802
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0242
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2886
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3844
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1871
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jpacifico/Lucie-7B-Instruct-Merged-Model_Stock-v1.0/f28fc4d7-d3eb-4915-967a-db97667e85bc.json b/data/hfopenllm_v2/jpacifico/Lucie-7B-Instruct-Merged-Model_Stock-v1.0/f28fc4d7-d3eb-4915-967a-db97667e85bc.json
deleted file mode 100644
index 659c89e26..000000000
--- a/data/hfopenllm_v2/jpacifico/Lucie-7B-Instruct-Merged-Model_Stock-v1.0/f28fc4d7-d3eb-4915-967a-db97667e85bc.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jpacifico_Lucie-7B-Instruct-Merged-Model_Stock-v1.0/1762652580.3014882",
-  "retrieved_timestamp": "1762652580.3014889",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jpacifico/Lucie-7B-Instruct-Merged-Model_Stock-v1.0",
-    "developer": "jpacifico",
-    "inference_platform": "unknown",
-    "id": "jpacifico/Lucie-7B-Instruct-Merged-Model_Stock-v1.0",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 6.707
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.32335979645119395
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3802022135816421
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.02416918429003021
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.28859060402684567
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.38438541666666665
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1870844414893617
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jpacifico/Lucie-7B-Instruct-Merged-Model_Stock-v1.1/03e7b19a-c31a-4bd4-8560-3b8ac4c7c80c.json b/data/hfopenllm_v2/jpacifico/Lucie-7B-Instruct-Merged-Model_Stock-v1.1/03e7b19a-c31a-4bd4-8560-3b8ac4c7c80c.json
deleted file mode 100644
index caa2d08c8..000000000
--- a/data/hfopenllm_v2/jpacifico/Lucie-7B-Instruct-Merged-Model_Stock-v1.1/03e7b19a-c31a-4bd4-8560-3b8ac4c7c80c.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jpacifico_Lucie-7B-Instruct-Merged-Model_Stock-v1.1/1762652580.301858",
-  "retrieved_timestamp": "1762652580.3018591",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jpacifico/Lucie-7B-Instruct-Merged-Model_Stock-v1.1",
-    "developer": "jpacifico",
-    "inference_platform": "unknown",
-    "id": "jpacifico/Lucie-7B-Instruct-Merged-Model_Stock-v1.1",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 6.707
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-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-    {
-      "evaluation_name": "BBH",
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-      "evaluation_name": "MATH Level 5",
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-        "score_type": "continuous",
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-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37502083333333336
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
-        "score": 0.18617021276595744
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jpacifico/Lucie-7B-Instruct-Merged-Model_Stock-v1.1/d65e5b08-7d3c-4c0d-85fa-496db65a235c.json b/data/hfopenllm_v2/jpacifico/Lucie-7B-Instruct-Merged-Model_Stock-v1.1/d65e5b08-7d3c-4c0d-85fa-496db65a235c.json
new file mode 100644
index 000000000..6a31392cf
--- /dev/null
+++ b/data/hfopenllm_v2/jpacifico/Lucie-7B-Instruct-Merged-Model_Stock-v1.1/d65e5b08-7d3c-4c0d-85fa-496db65a235c.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jpacifico_Lucie-7B-Instruct-Merged-Model_Stock-v1.1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Lucie-7B-Instruct-Merged-Model_Stock-v1.1",
+    "id": "jpacifico/Lucie-7B-Instruct-Merged-Model_Stock-v1.1",
+    "developer": "jpacifico",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 6.707
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3014
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3808
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0279
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2827
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.375
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1862
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jpacifico/Lucie-Boosted-7B-Instruct/4c7575d2-d538-4767-8d7e-d905b11f84f9.json b/data/hfopenllm_v2/jpacifico/Lucie-Boosted-7B-Instruct/4c7575d2-d538-4767-8d7e-d905b11f84f9.json
deleted file mode 100644
index e91f779e2..000000000
--- a/data/hfopenllm_v2/jpacifico/Lucie-Boosted-7B-Instruct/4c7575d2-d538-4767-8d7e-d905b11f84f9.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jpacifico_Lucie-Boosted-7B-Instruct/1762652580.302166",
-  "retrieved_timestamp": "1762652580.3021681",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jpacifico/Lucie-Boosted-7B-Instruct",
-    "developer": "jpacifico",
-    "inference_platform": "unknown",
-    "id": "jpacifico/Lucie-Boosted-7B-Instruct",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 6.707
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.25661467129438775
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.34654827210803724
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.01283987915407855
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.26677852348993286
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.369875
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1629820478723404
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jpacifico/Lucie-Boosted-7B-Instruct/ce2c9614-46d2-481d-ac25-3cc71a93bd5e.json b/data/hfopenllm_v2/jpacifico/Lucie-Boosted-7B-Instruct/ce2c9614-46d2-481d-ac25-3cc71a93bd5e.json
new file mode 100644
index 000000000..b3296bdfe
--- /dev/null
+++ b/data/hfopenllm_v2/jpacifico/Lucie-Boosted-7B-Instruct/ce2c9614-46d2-481d-ac25-3cc71a93bd5e.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jpacifico_Lucie-Boosted-7B-Instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Lucie-Boosted-7B-Instruct",
+    "id": "jpacifico/Lucie-Boosted-7B-Instruct",
+    "developer": "jpacifico",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 6.707
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2566
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3465
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0128
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2668
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3699
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.163
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jsfs11/L3-8B-Stheno-slerp/4148a653-5fda-41c2-bf7e-1c03d385b7a1.json b/data/hfopenllm_v2/jsfs11/L3-8B-Stheno-slerp/4148a653-5fda-41c2-bf7e-1c03d385b7a1.json
deleted file mode 100644
index 6c5b0adef..000000000
--- a/data/hfopenllm_v2/jsfs11/L3-8B-Stheno-slerp/4148a653-5fda-41c2-bf7e-1c03d385b7a1.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jsfs11_L3-8B-Stheno-slerp/1762652580.302513",
-  "retrieved_timestamp": "1762652580.302515",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jsfs11/L3-8B-Stheno-slerp",
-    "developer": "jsfs11",
-    "inference_platform": "unknown",
-    "id": "jsfs11/L3-8B-Stheno-slerp",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6751940407008958
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5325675903618755
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.09894259818731117
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.28523489932885904
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3725416666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.36494348404255317
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jsfs11/L3-8B-Stheno-slerp/e9ba998d-8147-4046-afae-9ee7d544e98d.json b/data/hfopenllm_v2/jsfs11/L3-8B-Stheno-slerp/e9ba998d-8147-4046-afae-9ee7d544e98d.json
new file mode 100644
index 000000000..09c46c3d4
--- /dev/null
+++ b/data/hfopenllm_v2/jsfs11/L3-8B-Stheno-slerp/e9ba998d-8147-4046-afae-9ee7d544e98d.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jsfs11_L3-8B-Stheno-slerp/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "L3-8B-Stheno-slerp",
+    "id": "jsfs11/L3-8B-Stheno-slerp",
+    "developer": "jsfs11",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6752
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5326
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0989
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2852
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3725
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3649
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jsfs11/MixtureofMerges-MoE-4x7b-v4/8143abf5-bd1d-4cdd-b555-5135f04945c3.json b/data/hfopenllm_v2/jsfs11/MixtureofMerges-MoE-4x7b-v4/8143abf5-bd1d-4cdd-b555-5135f04945c3.json
deleted file mode 100644
index ec8c0d0a0..000000000
--- a/data/hfopenllm_v2/jsfs11/MixtureofMerges-MoE-4x7b-v4/8143abf5-bd1d-4cdd-b555-5135f04945c3.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jsfs11_MixtureofMerges-MoE-4x7b-v4/1762652580.302909",
-  "retrieved_timestamp": "1762652580.3029099",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jsfs11/MixtureofMerges-MoE-4x7b-v4",
-    "developer": "jsfs11",
-    "inference_platform": "unknown",
-    "id": "jsfs11/MixtureofMerges-MoE-4x7b-v4",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MixtralForCausalLM",
-      "params_billions": 24.154
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.40299405577201824
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5169007103786006
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.0634441087613293
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2860738255033557
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.43855208333333334
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30319148936170215
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/jsfs11/MixtureofMerges-MoE-4x7b-v4/c44f1012-1123-42c8-b110-5735dc756fd5.json b/data/hfopenllm_v2/jsfs11/MixtureofMerges-MoE-4x7b-v4/c44f1012-1123-42c8-b110-5735dc756fd5.json
new file mode 100644
index 000000000..b881157bf
--- /dev/null
+++ b/data/hfopenllm_v2/jsfs11/MixtureofMerges-MoE-4x7b-v4/c44f1012-1123-42c8-b110-5735dc756fd5.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jsfs11_MixtureofMerges-MoE-4x7b-v4/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "MixtureofMerges-MoE-4x7b-v4",
+    "id": "jsfs11/MixtureofMerges-MoE-4x7b-v4",
+    "developer": "jsfs11",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MixtralForCausalLM",
+      "params_billions": 24.154
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.403
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5169
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0634
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2861
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4386
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3032
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jsfs11/MixtureofMerges-MoE-4x7b-v5/5088f6a6-2acf-4d10-8b78-0d5bd4126ab5.json b/data/hfopenllm_v2/jsfs11/MixtureofMerges-MoE-4x7b-v5/5088f6a6-2acf-4d10-8b78-0d5bd4126ab5.json
new file mode 100644
index 000000000..fe751bdd0
--- /dev/null
+++ b/data/hfopenllm_v2/jsfs11/MixtureofMerges-MoE-4x7b-v5/5088f6a6-2acf-4d10-8b78-0d5bd4126ab5.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/jsfs11_MixtureofMerges-MoE-4x7b-v5/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "MixtureofMerges-MoE-4x7b-v5",
+    "id": "jsfs11/MixtureofMerges-MoE-4x7b-v5",
+    "developer": "jsfs11",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MixtralForCausalLM",
+      "params_billions": 24.154
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4199
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5198
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0755
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2844
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4305
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3098
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/jsfs11/MixtureofMerges-MoE-4x7b-v5/a452af19-e167-45ca-99d2-5def2e4ad774.json b/data/hfopenllm_v2/jsfs11/MixtureofMerges-MoE-4x7b-v5/a452af19-e167-45ca-99d2-5def2e4ad774.json
deleted file mode 100644
index 0834847ac..000000000
--- a/data/hfopenllm_v2/jsfs11/MixtureofMerges-MoE-4x7b-v5/a452af19-e167-45ca-99d2-5def2e4ad774.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/jsfs11_MixtureofMerges-MoE-4x7b-v5/1762652580.30316",
-  "retrieved_timestamp": "1762652580.30316",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "jsfs11/MixtureofMerges-MoE-4x7b-v5",
-    "developer": "jsfs11",
-    "inference_platform": "unknown",
-    "id": "jsfs11/MixtureofMerges-MoE-4x7b-v5",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MixtralForCausalLM",
-      "params_billions": 24.154
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41993022956865567
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5198481257083689
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.0755287009063444
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.28439597315436244
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4304895833333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3097573138297872
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/kaist-ai/janus-7b/3ab8b78b-a9f9-428c-9469-afaa4158a0a6.json b/data/hfopenllm_v2/kaist-ai/janus-7b/3ab8b78b-a9f9-428c-9469-afaa4158a0a6.json
deleted file mode 100644
index 4cb9644d6..000000000
--- a/data/hfopenllm_v2/kaist-ai/janus-7b/3ab8b78b-a9f9-428c-9469-afaa4158a0a6.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/kaist-ai_janus-7b/1762652580.303385",
-  "retrieved_timestamp": "1762652580.3033862",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "kaist-ai/janus-7b",
-    "developer": "kaist-ai",
-    "inference_platform": "unknown",
-    "id": "kaist-ai/janus-7b",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37751499355044615
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4693667591541633
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.04078549848942598
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2726510067114094
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4401041666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.28740026595744683
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/kaist-ai/janus-7b/b4d96088-5cc0-4ebc-8b8b-8c7e9f90420b.json b/data/hfopenllm_v2/kaist-ai/janus-7b/b4d96088-5cc0-4ebc-8b8b-8c7e9f90420b.json
new file mode 100644
index 000000000..7009871f9
--- /dev/null
+++ b/data/hfopenllm_v2/kaist-ai/janus-7b/b4d96088-5cc0-4ebc-8b8b-8c7e9f90420b.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/kaist-ai_janus-7b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "janus-7b",
+    "id": "kaist-ai/janus-7b",
+    "developer": "kaist-ai",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3775
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4694
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0408
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2727
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4401
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2874
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/kaist-ai/janus-dpo-7b/2a78f22b-d898-4f92-a2a5-c2930c16916c.json b/data/hfopenllm_v2/kaist-ai/janus-dpo-7b/2a78f22b-d898-4f92-a2a5-c2930c16916c.json
deleted file mode 100644
index e1c972159..000000000
--- a/data/hfopenllm_v2/kaist-ai/janus-dpo-7b/2a78f22b-d898-4f92-a2a5-c2930c16916c.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/kaist-ai_janus-dpo-7b/1762652580.303661",
-  "retrieved_timestamp": "1762652580.303662",
-  "source_data": [
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-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "kaist-ai/janus-dpo-7b",
-    "developer": "kaist-ai",
-    "inference_platform": "unknown",
-    "id": "kaist-ai/janus-dpo-7b",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4002712802031942
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4772581104894978
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.04154078549848943
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.28187919463087246
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.43873958333333335
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2976230053191489
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/kaist-ai/janus-dpo-7b/529dba11-53af-4045-ae46-04e1b9838d4a.json b/data/hfopenllm_v2/kaist-ai/janus-dpo-7b/529dba11-53af-4045-ae46-04e1b9838d4a.json
new file mode 100644
index 000000000..c70f9f282
--- /dev/null
+++ b/data/hfopenllm_v2/kaist-ai/janus-dpo-7b/529dba11-53af-4045-ae46-04e1b9838d4a.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/kaist-ai_janus-dpo-7b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "janus-dpo-7b",
+    "id": "kaist-ai/janus-dpo-7b",
+    "developer": "kaist-ai",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4003
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4773
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0415
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2819
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4387
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2976
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/kaist-ai/janus-rm-7b/391f6d6c-418f-44be-910a-fb90b5712649.json b/data/hfopenllm_v2/kaist-ai/janus-rm-7b/391f6d6c-418f-44be-910a-fb90b5712649.json
new file mode 100644
index 000000000..979e94c2a
--- /dev/null
+++ b/data/hfopenllm_v2/kaist-ai/janus-rm-7b/391f6d6c-418f-44be-910a-fb90b5712649.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/kaist-ai_janus-rm-7b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "janus-rm-7b",
+    "id": "kaist-ai/janus-rm-7b",
+    "developer": "kaist-ai",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LLMForSequenceRegression",
+      "params_billions": 7.111
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1778
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3056
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2517
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3883
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1126
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/kaist-ai/janus-rm-7b/46f57920-759b-4d1a-b2f5-fe66aa740170.json b/data/hfopenllm_v2/kaist-ai/janus-rm-7b/46f57920-759b-4d1a-b2f5-fe66aa740170.json
deleted file mode 100644
index be35a881d..000000000
--- a/data/hfopenllm_v2/kaist-ai/janus-rm-7b/46f57920-759b-4d1a-b2f5-fe66aa740170.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/kaist-ai_janus-rm-7b/1762652580.303882",
-  "retrieved_timestamp": "1762652580.303883",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "kaist-ai/janus-rm-7b",
-    "developer": "kaist-ai",
-    "inference_platform": "unknown",
-    "id": "kaist-ai/janus-rm-7b",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LLMForSequenceRegression",
-      "params_billions": 7.111
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.177804891022487
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3056467446788138
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.0
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2516778523489933
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.38829166666666665
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11261635638297872
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/kaist-ai/mistral-orpo-capybara-7k/2ccccb4b-7260-4a1a-9426-117e359c7c5c.json b/data/hfopenllm_v2/kaist-ai/mistral-orpo-capybara-7k/2ccccb4b-7260-4a1a-9426-117e359c7c5c.json
new file mode 100644
index 000000000..41fa69358
--- /dev/null
+++ b/data/hfopenllm_v2/kaist-ai/mistral-orpo-capybara-7k/2ccccb4b-7260-4a1a-9426-117e359c7c5c.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/kaist-ai_mistral-orpo-capybara-7k/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "mistral-orpo-capybara-7k",
+    "id": "kaist-ai/mistral-orpo-capybara-7k",
+    "developer": "kaist-ai",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
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+      },
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
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+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "max_score": 1.0
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
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+        "score_type": "continuous",
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+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
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+        "evaluation_description": "Accuracy on MMLU-PRO",
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+    }
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/kavonalds/BunderMaxx-0710/10be7d08-18a9-43a6-80ea-81d704600eab.json b/data/hfopenllm_v2/kavonalds/BunderMaxx-0710/10be7d08-18a9-43a6-80ea-81d704600eab.json
deleted file mode 100644
index afbe19bd5..000000000
--- a/data/hfopenllm_v2/kavonalds/BunderMaxx-0710/10be7d08-18a9-43a6-80ea-81d704600eab.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
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-    "developer": "kavonalds",
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-    "id": "kavonalds/BunderMaxx-0710",
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diff --git a/data/hfopenllm_v2/kavonalds/BunderMaxx-0710/63d646bf-14d2-4cc7-ab82-efd1645cc1ba.json b/data/hfopenllm_v2/kavonalds/BunderMaxx-0710/63d646bf-14d2-4cc7-ab82-efd1645cc1ba.json
deleted file mode 100644
index 12b520b58..000000000
--- a/data/hfopenllm_v2/kavonalds/BunderMaxx-0710/63d646bf-14d2-4cc7-ab82-efd1645cc1ba.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-    "source_name": "HF Open LLM v2",
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-    "developer": "kavonalds",
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-    "id": "kavonalds/BunderMaxx-0710",
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-}
diff --git a/data/hfopenllm_v2/kavonalds/BunderMaxx-0710/84afecec-453d-491c-9f5a-de31d8fba43e.json b/data/hfopenllm_v2/kavonalds/BunderMaxx-0710/84afecec-453d-491c-9f5a-de31d8fba43e.json
new file mode 100644
index 000000000..7d5fbcff2
--- /dev/null
+++ b/data/hfopenllm_v2/kavonalds/BunderMaxx-0710/84afecec-453d-491c-9f5a-de31d8fba43e.json
@@ -0,0 +1,132 @@
+{
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+  "evaluation_id": "hfopenllm_v2/kavonalds_BunderMaxx-0710/1770682486.623709",
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+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
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+    "id": "kavonalds/BunderMaxx-0710",
+    "developer": "kavonalds",
+    "inference_platform": "unknown",
+    "additional_details": {
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+      "params_billions": 1.236
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
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+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "max_score": 1.0
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+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "max_score": 1.0
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+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
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+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
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+        "max_score": 1.0
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+    },
+    {
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+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1314
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/kavonalds/BunderMaxx-0710/dba3a3a4-cd23-44c9-823f-0bd88cf6465b.json b/data/hfopenllm_v2/kavonalds/BunderMaxx-0710/dba3a3a4-cd23-44c9-823f-0bd88cf6465b.json
new file mode 100644
index 000000000..a38c701e1
--- /dev/null
+++ b/data/hfopenllm_v2/kavonalds/BunderMaxx-0710/dba3a3a4-cd23-44c9-823f-0bd88cf6465b.json
@@ -0,0 +1,132 @@
+{
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+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
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+    "name": "BunderMaxx-0710",
+    "id": "kavonalds/BunderMaxx-0710",
+    "developer": "kavonalds",
+    "inference_platform": "unknown",
+    "additional_details": {
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+      "params_billions": 1.236
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
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+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
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+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5566
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+    },
+    {
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3682
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+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1449
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/kavonalds/BunderMaxx-1010/1179bcce-558e-40ad-8537-c74c59557975.json b/data/hfopenllm_v2/kavonalds/BunderMaxx-1010/1179bcce-558e-40ad-8537-c74c59557975.json
new file mode 100644
index 000000000..a63fbd6f4
--- /dev/null
+++ b/data/hfopenllm_v2/kavonalds/BunderMaxx-1010/1179bcce-558e-40ad-8537-c74c59557975.json
@@ -0,0 +1,132 @@
+{
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+  "evaluation_id": "hfopenllm_v2/kavonalds_BunderMaxx-1010/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "BunderMaxx-1010",
+    "id": "kavonalds/BunderMaxx-1010",
+    "developer": "kavonalds",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 1.236
+    }
+  },
+  "evaluation_results": [
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2981
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+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.702
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.105
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2609
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3484
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1224
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/kavonalds/BunderMaxx-1010/6b0275ea-f2eb-4a37-922c-d1f734c1a6d3.json b/data/hfopenllm_v2/kavonalds/BunderMaxx-1010/6b0275ea-f2eb-4a37-922c-d1f734c1a6d3.json
deleted file mode 100644
index ce20d567f..000000000
--- a/data/hfopenllm_v2/kavonalds/BunderMaxx-1010/6b0275ea-f2eb-4a37-922c-d1f734c1a6d3.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/kavonalds_BunderMaxx-1010/1762652580.305197",
-  "retrieved_timestamp": "1762652580.3051982",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "kavonalds/BunderMaxx-1010",
-    "developer": "kavonalds",
-    "inference_platform": "unknown",
-    "id": "kavonalds/BunderMaxx-1010",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 1.236
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2980558252104416
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7019840419971701
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.10498489425981873
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2609060402684564
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3484479166666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.12242353723404255
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/kavonalds/Lancer-1-1b-Instruct/ae2afa83-4607-43ea-be11-86cc57f3b848.json b/data/hfopenllm_v2/kavonalds/Lancer-1-1b-Instruct/ae2afa83-4607-43ea-be11-86cc57f3b848.json
deleted file mode 100644
index 3036d09c7..000000000
--- a/data/hfopenllm_v2/kavonalds/Lancer-1-1b-Instruct/ae2afa83-4607-43ea-be11-86cc57f3b848.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/kavonalds_Lancer-1-1b-Instruct/1762652580.305463",
-  "retrieved_timestamp": "1762652580.305465",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "kavonalds/Lancer-1-1b-Instruct",
-    "developer": "kavonalds",
-    "inference_platform": "unknown",
-    "id": "kavonalds/Lancer-1-1b-Instruct",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 1.236
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.03927492447129909
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.26174496644295303
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3144375
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1568317819148936
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/kavonalds/Lancer-1-1b-Instruct/fe0a5c17-6c8d-4f06-a58e-47648ef9ecec.json b/data/hfopenllm_v2/kavonalds/Lancer-1-1b-Instruct/fe0a5c17-6c8d-4f06-a58e-47648ef9ecec.json
new file mode 100644
index 000000000..13c6651be
--- /dev/null
+++ b/data/hfopenllm_v2/kavonalds/Lancer-1-1b-Instruct/fe0a5c17-6c8d-4f06-a58e-47648ef9ecec.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/kavonalds_Lancer-1-1b-Instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Lancer-1-1b-Instruct",
+    "id": "kavonalds/Lancer-1-1b-Instruct",
+    "developer": "kavonalds",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 1.236
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5546
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3253
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0393
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2617
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3144
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1568
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/kayfour/T3Q-Qwen2.5-7B-it-KOR-Safe/81cf8cbd-33bc-44ab-930a-65242e1ae7b2.json b/data/hfopenllm_v2/kayfour/T3Q-Qwen2.5-7B-it-KOR-Safe/81cf8cbd-33bc-44ab-930a-65242e1ae7b2.json
new file mode 100644
index 000000000..773475a94
--- /dev/null
+++ b/data/hfopenllm_v2/kayfour/T3Q-Qwen2.5-7B-it-KOR-Safe/81cf8cbd-33bc-44ab-930a-65242e1ae7b2.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/kayfour_T3Q-Qwen2.5-7B-it-KOR-Safe/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "T3Q-Qwen2.5-7B-it-KOR-Safe",
+    "id": "kayfour/T3Q-Qwen2.5-7B-it-KOR-Safe",
+    "developer": "kayfour",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6081
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.555
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3761
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3213
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4277
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4464
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/keeeeenw/MicroLlama/173bb053-e817-4551-b169-c3f71163650a.json b/data/hfopenllm_v2/keeeeenw/MicroLlama/173bb053-e817-4551-b169-c3f71163650a.json
new file mode 100644
index 000000000..50d40f2d1
--- /dev/null
+++ b/data/hfopenllm_v2/keeeeenw/MicroLlama/173bb053-e817-4551-b169-c3f71163650a.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/keeeeenw_MicroLlama/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "MicroLlama",
+    "id": "keeeeenw/MicroLlama",
+    "developer": "keeeeenw",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 0.305
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1985
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3007
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0113
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2609
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3698
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1138
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/kekmodel/StopCarbon-10.7B-v5/25b7d35b-8b5f-44ac-afae-e0f71ba8a0ff.json b/data/hfopenllm_v2/kekmodel/StopCarbon-10.7B-v5/25b7d35b-8b5f-44ac-afae-e0f71ba8a0ff.json
deleted file mode 100644
index 48497fdf0..000000000
--- a/data/hfopenllm_v2/kekmodel/StopCarbon-10.7B-v5/25b7d35b-8b5f-44ac-afae-e0f71ba8a0ff.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/kekmodel_StopCarbon-10.7B-v5/1762652580.306321",
-  "retrieved_timestamp": "1762652580.3063219",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "kekmodel/StopCarbon-10.7B-v5",
-    "developer": "kekmodel",
-    "inference_platform": "unknown",
-    "id": "kekmodel/StopCarbon-10.7B-v5",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 10.732
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.47283651821611106
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5177716413471513
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.055891238670694864
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3062080536912752
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4019375
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3156582446808511
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/kekmodel/StopCarbon-10.7B-v5/b7e6a86f-340c-48ed-a828-2e80a13aa515.json b/data/hfopenllm_v2/kekmodel/StopCarbon-10.7B-v5/b7e6a86f-340c-48ed-a828-2e80a13aa515.json
new file mode 100644
index 000000000..087787728
--- /dev/null
+++ b/data/hfopenllm_v2/kekmodel/StopCarbon-10.7B-v5/b7e6a86f-340c-48ed-a828-2e80a13aa515.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/kekmodel_StopCarbon-10.7B-v5/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "StopCarbon-10.7B-v5",
+    "id": "kekmodel/StopCarbon-10.7B-v5",
+    "developer": "kekmodel",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 10.732
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4728
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5178
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0559
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3062
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4019
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3157
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/kevin009/llamaRAGdrama/bd221eee-7aa8-4d6f-a6be-89ee5568e729.json b/data/hfopenllm_v2/kevin009/llamaRAGdrama/bd221eee-7aa8-4d6f-a6be-89ee5568e729.json
new file mode 100644
index 000000000..9b012321f
--- /dev/null
+++ b/data/hfopenllm_v2/kevin009/llamaRAGdrama/bd221eee-7aa8-4d6f-a6be-89ee5568e729.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/kevin009_llamaRAGdrama/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "llamaRAGdrama",
+    "id": "kevin009/llamaRAGdrama",
+    "developer": "kevin009",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2598
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4007
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0431
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2643
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4316
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2724
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/khoantap/cheap-moe-merge/8727a325-a515-4456-ba34-65c30f84644a.json b/data/hfopenllm_v2/khoantap/cheap-moe-merge/8727a325-a515-4456-ba34-65c30f84644a.json
new file mode 100644
index 000000000..20cf2da74
--- /dev/null
+++ b/data/hfopenllm_v2/khoantap/cheap-moe-merge/8727a325-a515-4456-ba34-65c30f84644a.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/khoantap_cheap-moe-merge/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "cheap-moe-merge",
+    "id": "khoantap/cheap-moe-merge",
+    "developer": "khoantap",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2MoeForCausalLM",
+      "params_billions": 19.305
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4557
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5131
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0921
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2953
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4103
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3339
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/khoantap/cheap-moe-merge/9ef977af-b10c-4434-bf4c-9783903e75a9.json b/data/hfopenllm_v2/khoantap/cheap-moe-merge/9ef977af-b10c-4434-bf4c-9783903e75a9.json
deleted file mode 100644
index ba5f4c2b7..000000000
--- a/data/hfopenllm_v2/khoantap/cheap-moe-merge/9ef977af-b10c-4434-bf4c-9783903e75a9.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/khoantap_cheap-moe-merge/1762652580.3070369",
-  "retrieved_timestamp": "1762652580.307038",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "khoantap/cheap-moe-merge",
-    "developer": "khoantap",
-    "inference_platform": "unknown",
-    "id": "khoantap/cheap-moe-merge",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2MoeForCausalLM",
-      "params_billions": 19.305
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4557008736818309
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.513116897226939
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.09214501510574018
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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new file mode 100644
index 000000000..df818dab9
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+++ b/data/hfopenllm_v2/khoantap/llama-3-8b-stock-merge/3e4011fa-d480-4c16-9371-2025bc834358.json
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diff --git a/data/hfopenllm_v2/khoantap/llama-breadcrumbs-ties-merge/867499a7-589b-4564-b04d-a004b7c0abb4.json b/data/hfopenllm_v2/khoantap/llama-breadcrumbs-ties-merge/867499a7-589b-4564-b04d-a004b7c0abb4.json
new file mode 100644
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diff --git a/data/hfopenllm_v2/khoantap/llama-evolve-ties-best-merge/52f1fb51-fc7e-4cc2-918a-7c7226ae2ce5.json b/data/hfopenllm_v2/khoantap/llama-evolve-ties-best-merge/52f1fb51-fc7e-4cc2-918a-7c7226ae2ce5.json
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diff --git a/data/hfopenllm_v2/khoantap/llama-linear-0.5-0.5-1-merge/5f4a8fb6-b22d-4eb2-aaef-da05ca45fbeb.json b/data/hfopenllm_v2/khoantap/llama-linear-0.5-0.5-1-merge/5f4a8fb6-b22d-4eb2-aaef-da05ca45fbeb.json
new file mode 100644
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diff --git a/data/hfopenllm_v2/khoantap/llama-linear-0.5-1-0.5-merge/3278855d-7bd1-4e7e-b27b-b1393006e7e7.json b/data/hfopenllm_v2/khoantap/llama-linear-0.5-1-0.5-merge/3278855d-7bd1-4e7e-b27b-b1393006e7e7.json
new file mode 100644
index 000000000..28ab86f9c
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/khoantap/llama-linear-1-0.5-0.5-merge/5193ab4d-1627-43b5-bfb7-89e08ea1f810.json b/data/hfopenllm_v2/khoantap/llama-linear-1-0.5-0.5-merge/5193ab4d-1627-43b5-bfb7-89e08ea1f810.json
new file mode 100644
index 000000000..e1f8e572b
--- /dev/null
+++ b/data/hfopenllm_v2/khoantap/llama-linear-1-0.5-0.5-merge/5193ab4d-1627-43b5-bfb7-89e08ea1f810.json
@@ -0,0 +1,132 @@
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+    "developer": "khoantap",
+    "inference_platform": "unknown",
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+        "hf_repo": "TIGER-Lab/MMLU-Pro"
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/khoantap/llama-slerp-merge/598faeda-48fb-43a8-aaa9-849d5dfcea79.json b/data/hfopenllm_v2/khoantap/llama-slerp-merge/598faeda-48fb-43a8-aaa9-849d5dfcea79.json
new file mode 100644
index 000000000..b429d2b76
--- /dev/null
+++ b/data/hfopenllm_v2/khoantap/llama-slerp-merge/598faeda-48fb-43a8-aaa9-849d5dfcea79.json
@@ -0,0 +1,132 @@
+{
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+    "source_type": "documentation",
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+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
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+        "evaluation_description": "Exact Match on MATH Level 5",
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/khoantap/moe-out-merge/326fc05a-78e9-4e36-933c-aa0219661e0d.json b/data/hfopenllm_v2/khoantap/moe-out-merge/326fc05a-78e9-4e36-933c-aa0219661e0d.json
deleted file mode 100644
index cc34abcd7..000000000
--- a/data/hfopenllm_v2/khoantap/moe-out-merge/326fc05a-78e9-4e36-933c-aa0219661e0d.json
+++ /dev/null
@@ -1,105 +0,0 @@
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-    "developer": "khoantap",
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-}
diff --git a/data/hfopenllm_v2/khoantap/moe-out-merge/d1afa2fb-1256-4dd3-b13b-802917bf481b.json b/data/hfopenllm_v2/khoantap/moe-out-merge/d1afa2fb-1256-4dd3-b13b-802917bf481b.json
new file mode 100644
index 000000000..7471ab85d
--- /dev/null
+++ b/data/hfopenllm_v2/khoantap/moe-out-merge/d1afa2fb-1256-4dd3-b13b-802917bf481b.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/khoantap_moe-out-merge/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "moe-out-merge",
+    "id": "khoantap/moe-out-merge",
+    "developer": "khoantap",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2MoeForCausalLM",
+      "params_billions": 19.305
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
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+        "source_type": "hf_dataset",
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+      },
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
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+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+    },
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
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+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4063
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+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
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+        "score_type": "continuous",
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+        "max_score": 1.0
+      },
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+        "score": 0.3348
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+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/khulaifi95/Llama-3.1-8B-Reason-Blend-888k/397c9bc3-0af5-453c-9b68-5360783dfbf7.json b/data/hfopenllm_v2/khulaifi95/Llama-3.1-8B-Reason-Blend-888k/397c9bc3-0af5-453c-9b68-5360783dfbf7.json
new file mode 100644
index 000000000..b28191893
--- /dev/null
+++ b/data/hfopenllm_v2/khulaifi95/Llama-3.1-8B-Reason-Blend-888k/397c9bc3-0af5-453c-9b68-5360783dfbf7.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/khulaifi95_Llama-3.1-8B-Reason-Blend-888k/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-3.1-8B-Reason-Blend-888k",
+    "id": "khulaifi95/Llama-3.1-8B-Reason-Blend-888k",
+    "developer": "khulaifi95",
+    "inference_platform": "unknown",
+    "additional_details": {
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+    {
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+      "metric_config": {
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+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+      "score_details": {
+        "score": 0.5832
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+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.479
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1156
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2794
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3379
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.31
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/kms7530/chemeng_llama-3-8b-Instruct-bnb-4bit_24_1_100_1/6cb03909-9850-4519-9e67-f2d875652e02.json b/data/hfopenllm_v2/kms7530/chemeng_llama-3-8b-Instruct-bnb-4bit_24_1_100_1/6cb03909-9850-4519-9e67-f2d875652e02.json
deleted file mode 100644
index f31a49ee6..000000000
--- a/data/hfopenllm_v2/kms7530/chemeng_llama-3-8b-Instruct-bnb-4bit_24_1_100_1/6cb03909-9850-4519-9e67-f2d875652e02.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/kms7530_chemeng_llama-3-8b-Instruct-bnb-4bit_24_1_100_1/1762652580.309702",
-  "retrieved_timestamp": "1762652580.3097029",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "kms7530/chemeng_llama-3-8b-Instruct-bnb-4bit_24_1_100_1",
-    "developer": "kms7530",
-    "inference_platform": "unknown",
-    "id": "kms7530/chemeng_llama-3-8b-Instruct-bnb-4bit_24_1_100_1",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "?",
-      "params_billions": 9.3
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    {
-      "evaluation_name": "MATH Level 5",
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-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-      "score_details": {
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2701342281879195
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.38206249999999997
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2798371010638298
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/kms7530/chemeng_llama-3-8b-Instruct-bnb-4bit_24_1_100_1/9bb39652-c79a-42bf-b6d8-c4ed6174a4c7.json b/data/hfopenllm_v2/kms7530/chemeng_llama-3-8b-Instruct-bnb-4bit_24_1_100_1/9bb39652-c79a-42bf-b6d8-c4ed6174a4c7.json
new file mode 100644
index 000000000..06712c0c5
--- /dev/null
+++ b/data/hfopenllm_v2/kms7530/chemeng_llama-3-8b-Instruct-bnb-4bit_24_1_100_1/9bb39652-c79a-42bf-b6d8-c4ed6174a4c7.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/kms7530_chemeng_llama-3-8b-Instruct-bnb-4bit_24_1_100_1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "chemeng_llama-3-8b-Instruct-bnb-4bit_24_1_100_1",
+    "id": "kms7530/chemeng_llama-3-8b-Instruct-bnb-4bit_24_1_100_1",
+    "developer": "kms7530",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "?",
+      "params_billions": 9.3
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5455
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4289
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2701
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3821
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2798
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/kms7530/chemeng_phi-3-mini-4k-instruct-bnb-4bit_16_4_100_1_nonmath/51a11592-e099-4059-9e97-f8924e1c2437.json b/data/hfopenllm_v2/kms7530/chemeng_phi-3-mini-4k-instruct-bnb-4bit_16_4_100_1_nonmath/51a11592-e099-4059-9e97-f8924e1c2437.json
deleted file mode 100644
index 6094660c1..000000000
--- a/data/hfopenllm_v2/kms7530/chemeng_phi-3-mini-4k-instruct-bnb-4bit_16_4_100_1_nonmath/51a11592-e099-4059-9e97-f8924e1c2437.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/kms7530_chemeng_phi-3-mini-4k-instruct-bnb-4bit_16_4_100_1_nonmath/1762652580.309973",
-  "retrieved_timestamp": "1762652580.309974",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "kms7530/chemeng_phi-3-mini-4k-instruct-bnb-4bit_16_4_100_1_nonmath",
-    "developer": "kms7530",
-    "inference_platform": "unknown",
-    "id": "kms7530/chemeng_phi-3-mini-4k-instruct-bnb-4bit_16_4_100_1_nonmath",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "?",
-      "params_billions": 4.132
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.49871846432893613
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-      },
-      "score_details": {
-        "score": 0.10800604229607251
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3104026845637584
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.39828125
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3480718085106383
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/kms7530/chemeng_phi-3-mini-4k-instruct-bnb-4bit_16_4_100_1_nonmath/7e793244-b746-4aa4-a401-dcf5884f61a4.json b/data/hfopenllm_v2/kms7530/chemeng_phi-3-mini-4k-instruct-bnb-4bit_16_4_100_1_nonmath/7e793244-b746-4aa4-a401-dcf5884f61a4.json
new file mode 100644
index 000000000..a2ee08c81
--- /dev/null
+++ b/data/hfopenllm_v2/kms7530/chemeng_phi-3-mini-4k-instruct-bnb-4bit_16_4_100_1_nonmath/7e793244-b746-4aa4-a401-dcf5884f61a4.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/kms7530_chemeng_phi-3-mini-4k-instruct-bnb-4bit_16_4_100_1_nonmath/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "chemeng_phi-3-mini-4k-instruct-bnb-4bit_16_4_100_1_nonmath",
+    "id": "kms7530/chemeng_phi-3-mini-4k-instruct-bnb-4bit_16_4_100_1_nonmath",
+    "developer": "kms7530",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "?",
+      "params_billions": 4.132
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4863
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4987
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.108
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3104
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3983
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3481
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/kms7530/chemeng_qwen-math-7b_24_1_100_1/26a8da03-debd-41e3-8ee1-2827d76b26ca.json b/data/hfopenllm_v2/kms7530/chemeng_qwen-math-7b_24_1_100_1/26a8da03-debd-41e3-8ee1-2827d76b26ca.json
new file mode 100644
index 000000000..969ace9a0
--- /dev/null
+++ b/data/hfopenllm_v2/kms7530/chemeng_qwen-math-7b_24_1_100_1/26a8da03-debd-41e3-8ee1-2827d76b26ca.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/kms7530_chemeng_qwen-math-7b_24_1_100_1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "chemeng_qwen-math-7b_24_1_100_1",
+    "id": "kms7530/chemeng_qwen-math-7b_24_1_100_1",
+    "developer": "kms7530",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "?",
+      "params_billions": 8.911
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2111
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3578
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2243
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2441
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3687
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2158
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/kms7530/chemeng_qwen-math-7b_24_1_100_1_nonmath/e214c326-dd84-4915-bba1-faaafbb026b2.json b/data/hfopenllm_v2/kms7530/chemeng_qwen-math-7b_24_1_100_1_nonmath/e214c326-dd84-4915-bba1-faaafbb026b2.json
new file mode 100644
index 000000000..ce14e36aa
--- /dev/null
+++ b/data/hfopenllm_v2/kms7530/chemeng_qwen-math-7b_24_1_100_1_nonmath/e214c326-dd84-4915-bba1-faaafbb026b2.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/kms7530_chemeng_qwen-math-7b_24_1_100_1_nonmath/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "chemeng_qwen-math-7b_24_1_100_1_nonmath",
+    "id": "kms7530/chemeng_qwen-math-7b_24_1_100_1_nonmath",
+    "developer": "kms7530",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "?",
+      "params_billions": 15.231
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2584
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3893
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3097
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2903
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4087
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2452
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/kno10/ende-chat-0.0.5/98a5ea0a-6e45-48f8-8219-32099b9fa9d0.json b/data/hfopenllm_v2/kno10/ende-chat-0.0.5/98a5ea0a-6e45-48f8-8219-32099b9fa9d0.json
new file mode 100644
index 000000000..dfb3a0c4e
--- /dev/null
+++ b/data/hfopenllm_v2/kno10/ende-chat-0.0.5/98a5ea0a-6e45-48f8-8219-32099b9fa9d0.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/kno10_ende-chat-0.0.5/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "ende-chat-0.0.5",
+    "id": "kno10/ende-chat-0.0.5",
+    "developer": "kno10",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.891
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3404
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3604
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0204
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2651
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3938
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.179
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/kno10/ende-chat-0.0.5/af2f11cf-8efa-4c71-a0b2-74f953b8e61b.json b/data/hfopenllm_v2/kno10/ende-chat-0.0.5/af2f11cf-8efa-4c71-a0b2-74f953b8e61b.json
deleted file mode 100644
index c649f93b0..000000000
--- a/data/hfopenllm_v2/kno10/ende-chat-0.0.5/af2f11cf-8efa-4c71-a0b2-74f953b8e61b.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/kno10_ende-chat-0.0.5/1762652580.310679",
-  "retrieved_timestamp": "1762652580.3106802",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "kno10/ende-chat-0.0.5",
-    "developer": "kno10",
-    "inference_platform": "unknown",
-    "id": "kno10/ende-chat-0.0.5",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.891
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3404455733010634
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3604365707523862
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.02039274924471299
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2651006711409396
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.39384375
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.17902260638297873
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/kno10/ende-chat-0.0.7/40d7d17d-2d41-4d23-83c1-ab5f3320e36e.json b/data/hfopenllm_v2/kno10/ende-chat-0.0.7/40d7d17d-2d41-4d23-83c1-ab5f3320e36e.json
new file mode 100644
index 000000000..eb7bd3e9e
--- /dev/null
+++ b/data/hfopenllm_v2/kno10/ende-chat-0.0.7/40d7d17d-2d41-4d23-83c1-ab5f3320e36e.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/kno10_ende-chat-0.0.7/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "ende-chat-0.0.7",
+    "id": "kno10/ende-chat-0.0.7",
+    "developer": "kno10",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.891
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4401
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3792
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0174
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.281
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3861
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1966
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/kno10/ende-chat-0.0.7/6619dec7-71cf-4be6-90e2-815e8dd4e56f.json b/data/hfopenllm_v2/kno10/ende-chat-0.0.7/6619dec7-71cf-4be6-90e2-815e8dd4e56f.json
deleted file mode 100644
index 2076d5e3a..000000000
--- a/data/hfopenllm_v2/kno10/ende-chat-0.0.7/6619dec7-71cf-4be6-90e2-815e8dd4e56f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/kno10_ende-chat-0.0.7/1762652580.310943",
-  "retrieved_timestamp": "1762652580.310944",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "kno10/ende-chat-0.0.7",
-    "developer": "kno10",
-    "inference_platform": "unknown",
-    "id": "kno10/ende-chat-0.0.7",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.891
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.440063476021401
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37918745577624335
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.017371601208459216
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.28104026845637586
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.386125
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.19664228723404256
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/kyutai/helium-1-preview-2b/ce4ddb86-646e-4c59-8a03-3687dbb77021.json b/data/hfopenllm_v2/kyutai/helium-1-preview-2b/ce4ddb86-646e-4c59-8a03-3687dbb77021.json
deleted file mode 100644
index dfc1c550c..000000000
--- a/data/hfopenllm_v2/kyutai/helium-1-preview-2b/ce4ddb86-646e-4c59-8a03-3687dbb77021.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/kyutai_helium-1-preview-2b/1762652580.3111548",
-  "retrieved_timestamp": "1762652580.3111548",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "kyutai/helium-1-preview-2b",
-    "developer": "kyutai",
-    "inference_platform": "unknown",
-    "id": "kyutai/helium-1-preview-2b",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "HeliumForCausalLM",
-      "params_billions": 2.173
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.26136096667952147
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3638164815956466
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.013595166163141994
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2785234899328859
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3549583333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.18725066489361702
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/kyutai/helium-1-preview-2b/d881a83a-9ba8-4919-8b89-45f5a7220621.json b/data/hfopenllm_v2/kyutai/helium-1-preview-2b/d881a83a-9ba8-4919-8b89-45f5a7220621.json
new file mode 100644
index 000000000..9db17dbd8
--- /dev/null
+++ b/data/hfopenllm_v2/kyutai/helium-1-preview-2b/d881a83a-9ba8-4919-8b89-45f5a7220621.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/kyutai_helium-1-preview-2b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "helium-1-preview-2b",
+    "id": "kyutai/helium-1-preview-2b",
+    "developer": "kyutai",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "HeliumForCausalLM",
+      "params_billions": 2.173
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2614
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3638
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0136
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2785
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.355
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1873
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/kz919/QwQ-0.5B-Distilled-SFT/08efd69e-6ff6-48a1-b260-ddbb4a942d12.json b/data/hfopenllm_v2/kz919/QwQ-0.5B-Distilled-SFT/08efd69e-6ff6-48a1-b260-ddbb4a942d12.json
deleted file mode 100644
index 6051f1433..000000000
--- a/data/hfopenllm_v2/kz919/QwQ-0.5B-Distilled-SFT/08efd69e-6ff6-48a1-b260-ddbb4a942d12.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/kz919_QwQ-0.5B-Distilled-SFT/1762652580.311408",
-  "retrieved_timestamp": "1762652580.311409",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "kz919/QwQ-0.5B-Distilled-SFT",
-    "developer": "kz919",
-    "inference_platform": "unknown",
-    "id": "kz919/QwQ-0.5B-Distilled-SFT",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 0.494
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3076725311063534
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3256291569645335
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.07401812688821752
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2609060402684564
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3408541666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.15874335106382978
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/kz919/QwQ-0.5B-Distilled-SFT/d6c966a1-7927-424a-9886-b98688d27e6f.json b/data/hfopenllm_v2/kz919/QwQ-0.5B-Distilled-SFT/d6c966a1-7927-424a-9886-b98688d27e6f.json
new file mode 100644
index 000000000..34900ada9
--- /dev/null
+++ b/data/hfopenllm_v2/kz919/QwQ-0.5B-Distilled-SFT/d6c966a1-7927-424a-9886-b98688d27e6f.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/kz919_QwQ-0.5B-Distilled-SFT/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "QwQ-0.5B-Distilled-SFT",
+    "id": "kz919/QwQ-0.5B-Distilled-SFT",
+    "developer": "kz919",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 0.494
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3077
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3256
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.074
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2609
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3409
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1587
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/ladydaina/ECE-FDF/737cda34-7dea-4c68-b6a3-5b10066f9241.json b/data/hfopenllm_v2/ladydaina/ECE-FDF/737cda34-7dea-4c68-b6a3-5b10066f9241.json
deleted file mode 100644
index 7fc96237c..000000000
--- a/data/hfopenllm_v2/ladydaina/ECE-FDF/737cda34-7dea-4c68-b6a3-5b10066f9241.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/ladydaina_ECE-FDF/1762652580.311657",
-  "retrieved_timestamp": "1762652580.311657",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "ladydaina/ECE-FDF",
-    "developer": "ladydaina",
-    "inference_platform": "unknown",
-    "id": "ladydaina/ECE-FDF",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3728440537773109
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5150177593278346
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.08157099697885196
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2827181208053691
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.45039583333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30069813829787234
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/ladydaina/ECE-FDF/c09fe163-a7f7-4b6b-b407-ee8d698b2ee8.json b/data/hfopenllm_v2/ladydaina/ECE-FDF/c09fe163-a7f7-4b6b-b407-ee8d698b2ee8.json
new file mode 100644
index 000000000..298900d6a
--- /dev/null
+++ b/data/hfopenllm_v2/ladydaina/ECE-FDF/c09fe163-a7f7-4b6b-b407-ee8d698b2ee8.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/ladydaina_ECE-FDF/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "ECE-FDF",
+    "id": "ladydaina/ECE-FDF",
+    "developer": "ladydaina",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3728
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.515
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0816
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2827
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4504
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3007
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/laislemke/LLaMA-2-vicuna-7b-slerp/b3979c7f-0596-4a24-b264-73a17ba19821.json b/data/hfopenllm_v2/laislemke/LLaMA-2-vicuna-7b-slerp/b3979c7f-0596-4a24-b264-73a17ba19821.json
new file mode 100644
index 000000000..d0f53a22e
--- /dev/null
+++ b/data/hfopenllm_v2/laislemke/LLaMA-2-vicuna-7b-slerp/b3979c7f-0596-4a24-b264-73a17ba19821.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/laislemke_LLaMA-2-vicuna-7b-slerp/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "LLaMA-2-vicuna-7b-slerp",
+    "id": "laislemke/LLaMA-2-vicuna-7b-slerp",
+    "developer": "laislemke",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 6.738
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2932
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2986
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0113
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2735
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3833
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1342
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/lalainy/ECE-PRYMMAL-0.5B-FT-V5-MUSR/012fb237-8082-40d9-882e-0dd7bc9c74cb.json b/data/hfopenllm_v2/lalainy/ECE-PRYMMAL-0.5B-FT-V5-MUSR/012fb237-8082-40d9-882e-0dd7bc9c74cb.json
deleted file mode 100644
index 4dd67cd85..000000000
--- a/data/hfopenllm_v2/lalainy/ECE-PRYMMAL-0.5B-FT-V5-MUSR/012fb237-8082-40d9-882e-0dd7bc9c74cb.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/lalainy_ECE-PRYMMAL-0.5B-FT-V5-MUSR/1762652580.312166",
-  "retrieved_timestamp": "1762652580.312166",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "lalainy/ECE-PRYMMAL-0.5B-FT-V5-MUSR",
-    "developer": "lalainy",
-    "inference_platform": "unknown",
-    "id": "lalainy/ECE-PRYMMAL-0.5B-FT-V5-MUSR",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 0.494
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.21377500587330506
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.32694393820046386
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.045317220543806644
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.27432885906040266
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.32625
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.15334109042553193
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/lalainy/ECE-PRYMMAL-0.5B-FT-V5-MUSR/f6156893-92e7-4c4f-bff4-8b6d774ecbd8.json b/data/hfopenllm_v2/lalainy/ECE-PRYMMAL-0.5B-FT-V5-MUSR/f6156893-92e7-4c4f-bff4-8b6d774ecbd8.json
new file mode 100644
index 000000000..d16b8f1ef
--- /dev/null
+++ b/data/hfopenllm_v2/lalainy/ECE-PRYMMAL-0.5B-FT-V5-MUSR/f6156893-92e7-4c4f-bff4-8b6d774ecbd8.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/lalainy_ECE-PRYMMAL-0.5B-FT-V5-MUSR/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "ECE-PRYMMAL-0.5B-FT-V5-MUSR",
+    "id": "lalainy/ECE-PRYMMAL-0.5B-FT-V5-MUSR",
+    "developer": "lalainy",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 0.494
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2138
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3269
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0453
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2743
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3262
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1533
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/lalainy/ECE-PRYMMAL-0.5B-SLERP-V4/869daca0-a700-464d-a551-290ed454421e.json b/data/hfopenllm_v2/lalainy/ECE-PRYMMAL-0.5B-SLERP-V4/869daca0-a700-464d-a551-290ed454421e.json
deleted file mode 100644
index 496a7f6f3..000000000
--- a/data/hfopenllm_v2/lalainy/ECE-PRYMMAL-0.5B-SLERP-V4/869daca0-a700-464d-a551-290ed454421e.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/lalainy_ECE-PRYMMAL-0.5B-SLERP-V4/1762652580.312417",
-  "retrieved_timestamp": "1762652580.312417",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "lalainy/ECE-PRYMMAL-0.5B-SLERP-V4",
-    "developer": "lalainy",
-    "inference_platform": "unknown",
-    "id": "lalainy/ECE-PRYMMAL-0.5B-SLERP-V4",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 0.494
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.15639724819035714
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2894308596288922
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.0
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-        "lower_is_better": false,
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-        "max_score": 1
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-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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diff --git a/data/hfopenllm_v2/lalainy/ECE-PRYMMAL-0.5B-SLERP-V4/8b1c19e0-8b47-46ae-8bf3-f84c7d3a9c0e.json b/data/hfopenllm_v2/lalainy/ECE-PRYMMAL-0.5B-SLERP-V4/8b1c19e0-8b47-46ae-8bf3-f84c7d3a9c0e.json
new file mode 100644
index 000000000..bf518c502
--- /dev/null
+++ b/data/hfopenllm_v2/lalainy/ECE-PRYMMAL-0.5B-SLERP-V4/8b1c19e0-8b47-46ae-8bf3-f84c7d3a9c0e.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/lalainy_ECE-PRYMMAL-0.5B-SLERP-V4/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "ECE-PRYMMAL-0.5B-SLERP-V4",
+    "id": "lalainy/ECE-PRYMMAL-0.5B-SLERP-V4",
+    "developer": "lalainy",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 0.494
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1564
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2894
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2626
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3789
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1169
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/lalainy/ECE-PRYMMAL-YL-0.5B-SLERP-BIS-V1/6221102e-4e8c-46dd-8c03-fa9e92b7e4ea.json b/data/hfopenllm_v2/lalainy/ECE-PRYMMAL-YL-0.5B-SLERP-BIS-V1/6221102e-4e8c-46dd-8c03-fa9e92b7e4ea.json
new file mode 100644
index 000000000..e44f2c10f
--- /dev/null
+++ b/data/hfopenllm_v2/lalainy/ECE-PRYMMAL-YL-0.5B-SLERP-BIS-V1/6221102e-4e8c-46dd-8c03-fa9e92b7e4ea.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/lalainy_ECE-PRYMMAL-YL-0.5B-SLERP-BIS-V1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "ECE-PRYMMAL-YL-0.5B-SLERP-BIS-V1",
+    "id": "lalainy/ECE-PRYMMAL-YL-0.5B-SLERP-BIS-V1",
+    "developer": "lalainy",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 0.494
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1437
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3032
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0008
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2349
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3646
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1121
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/lalainy/ECE-PRYMMAL-YL-0.5B-SLERP-BIS-V1/8822f27f-90ec-41a8-b71a-611f7c5ad590.json b/data/hfopenllm_v2/lalainy/ECE-PRYMMAL-YL-0.5B-SLERP-BIS-V1/8822f27f-90ec-41a8-b71a-611f7c5ad590.json
deleted file mode 100644
index 4a4609bc8..000000000
--- a/data/hfopenllm_v2/lalainy/ECE-PRYMMAL-YL-0.5B-SLERP-BIS-V1/8822f27f-90ec-41a8-b71a-611f7c5ad590.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/lalainy_ECE-PRYMMAL-YL-0.5B-SLERP-BIS-V1/1762652580.31263",
-  "retrieved_timestamp": "1762652580.31263",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "lalainy/ECE-PRYMMAL-YL-0.5B-SLERP-BIS-V1",
-    "developer": "lalainy",
-    "inference_platform": "unknown",
-    "id": "lalainy/ECE-PRYMMAL-YL-0.5B-SLERP-BIS-V1",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 0.494
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1437075847639818
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3031946898842932
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.0007552870090634441
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2348993288590604
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3646041666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11211768617021277
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/lalainy/ECE-PRYMMAL-YL-1B-SLERP-V3/329e5e91-10ba-4795-ae86-dda95e698b4f.json b/data/hfopenllm_v2/lalainy/ECE-PRYMMAL-YL-1B-SLERP-V3/329e5e91-10ba-4795-ae86-dda95e698b4f.json
new file mode 100644
index 000000000..97784607c
--- /dev/null
+++ b/data/hfopenllm_v2/lalainy/ECE-PRYMMAL-YL-1B-SLERP-V3/329e5e91-10ba-4795-ae86-dda95e698b4f.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/lalainy_ECE-PRYMMAL-YL-1B-SLERP-V3/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "ECE-PRYMMAL-YL-1B-SLERP-V3",
+    "id": "lalainy/ECE-PRYMMAL-YL-1B-SLERP-V3",
+    "developer": "lalainy",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 1.544
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.325
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4225
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0974
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2945
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4213
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2931
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/lalainy/ECE-PRYMMAL-YL-1B-SLERP-V3/fa3c7a13-b37e-40b3-b814-b1ae421081ba.json b/data/hfopenllm_v2/lalainy/ECE-PRYMMAL-YL-1B-SLERP-V3/fa3c7a13-b37e-40b3-b814-b1ae421081ba.json
deleted file mode 100644
index 89511009f..000000000
--- a/data/hfopenllm_v2/lalainy/ECE-PRYMMAL-YL-1B-SLERP-V3/fa3c7a13-b37e-40b3-b814-b1ae421081ba.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/lalainy_ECE-PRYMMAL-YL-1B-SLERP-V3/1762652580.31284",
-  "retrieved_timestamp": "1762652580.312841",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "lalainy/ECE-PRYMMAL-YL-1B-SLERP-V3",
-    "developer": "lalainy",
-    "inference_platform": "unknown",
-    "id": "lalainy/ECE-PRYMMAL-YL-1B-SLERP-V3",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 1.544
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.325008754549041
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42245501886651654
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-      },
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diff --git a/data/hfopenllm_v2/lalainy/ECE-PRYMMAL-YL-1B-SLERP-V4/2ede8e21-33e9-45ac-9c60-9a4bd7e8e3cb.json b/data/hfopenllm_v2/lalainy/ECE-PRYMMAL-YL-1B-SLERP-V4/2ede8e21-33e9-45ac-9c60-9a4bd7e8e3cb.json
deleted file mode 100644
index 5842324bc..000000000
--- a/data/hfopenllm_v2/lalainy/ECE-PRYMMAL-YL-1B-SLERP-V4/2ede8e21-33e9-45ac-9c60-9a4bd7e8e3cb.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/lalainy_ECE-PRYMMAL-YL-1B-SLERP-V4/1762652580.3130481",
-  "retrieved_timestamp": "1762652580.313049",
-  "source_data": [
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
-    "name": "lalainy/ECE-PRYMMAL-YL-1B-SLERP-V4",
-    "developer": "lalainy",
-    "inference_platform": "unknown",
-    "id": "lalainy/ECE-PRYMMAL-YL-1B-SLERP-V4",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 1.544
-    }
-  },
-  "evaluation_results": [
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-        "lower_is_better": false,
-        "score_type": "continuous",
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-        "lower_is_better": false,
-        "score_type": "continuous",
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-        "score_type": "continuous",
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-}
diff --git a/data/hfopenllm_v2/lalainy/ECE-PRYMMAL-YL-1B-SLERP-V4/3fe89b13-135d-4790-871d-74e7a28ea2e9.json b/data/hfopenllm_v2/lalainy/ECE-PRYMMAL-YL-1B-SLERP-V4/3fe89b13-135d-4790-871d-74e7a28ea2e9.json
new file mode 100644
index 000000000..e1cc670e9
--- /dev/null
+++ b/data/hfopenllm_v2/lalainy/ECE-PRYMMAL-YL-1B-SLERP-V4/3fe89b13-135d-4790-871d-74e7a28ea2e9.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/lalainy_ECE-PRYMMAL-YL-1B-SLERP-V4/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "ECE-PRYMMAL-YL-1B-SLERP-V4",
+    "id": "lalainy/ECE-PRYMMAL-YL-1B-SLERP-V4",
+    "developer": "lalainy",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 1.544
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3324
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4171
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1005
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2861
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4306
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2893
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/lalainy/ECE-PRYMMAL-YL-6B-SLERP-V1/4b807741-f1b9-4964-9bc9-bb93f9b34217.json b/data/hfopenllm_v2/lalainy/ECE-PRYMMAL-YL-6B-SLERP-V1/4b807741-f1b9-4964-9bc9-bb93f9b34217.json
new file mode 100644
index 000000000..fb7527528
--- /dev/null
+++ b/data/hfopenllm_v2/lalainy/ECE-PRYMMAL-YL-6B-SLERP-V1/4b807741-f1b9-4964-9bc9-bb93f9b34217.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/lalainy_ECE-PRYMMAL-YL-6B-SLERP-V1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "ECE-PRYMMAL-YL-6B-SLERP-V1",
+    "id": "lalainy/ECE-PRYMMAL-YL-6B-SLERP-V1",
+    "developer": "lalainy",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 6.061
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3264
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4629
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1269
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2886
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4864
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3214
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/lalainy/ECE-PRYMMAL-YL-6B-SLERP-V1/85ac95fd-cb36-4158-818d-69c45f83dae9.json b/data/hfopenllm_v2/lalainy/ECE-PRYMMAL-YL-6B-SLERP-V1/85ac95fd-cb36-4158-818d-69c45f83dae9.json
deleted file mode 100644
index 7d524086f..000000000
--- a/data/hfopenllm_v2/lalainy/ECE-PRYMMAL-YL-6B-SLERP-V1/85ac95fd-cb36-4158-818d-69c45f83dae9.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/lalainy_ECE-PRYMMAL-YL-6B-SLERP-V1/1762652580.31332",
-  "retrieved_timestamp": "1762652580.3133209",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "lalainy/ECE-PRYMMAL-YL-6B-SLERP-V1",
-    "developer": "lalainy",
-    "inference_platform": "unknown",
-    "id": "lalainy/ECE-PRYMMAL-YL-6B-SLERP-V1",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 6.061
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-  "evaluation_results": [
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-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
-        "score": 0.3264072660540699
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.46293726502592586
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1268882175226586
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.28859060402684567
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.48639583333333336
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.32139295212765956
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/lalainy/ECE-PRYMMAL-YL-6B-SLERP-V2/c52a8a4d-be91-4a0d-8cd5-8473a42f0978.json b/data/hfopenllm_v2/lalainy/ECE-PRYMMAL-YL-6B-SLERP-V2/c52a8a4d-be91-4a0d-8cd5-8473a42f0978.json
new file mode 100644
index 000000000..c4e7de98b
--- /dev/null
+++ b/data/hfopenllm_v2/lalainy/ECE-PRYMMAL-YL-6B-SLERP-V2/c52a8a4d-be91-4a0d-8cd5-8473a42f0978.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/lalainy_ECE-PRYMMAL-YL-6B-SLERP-V2/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "ECE-PRYMMAL-YL-6B-SLERP-V2",
+    "id": "lalainy/ECE-PRYMMAL-YL-6B-SLERP-V2",
+    "developer": "lalainy",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 6.061
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3249
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4629
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1269
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
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+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
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+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3214
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/lalainy/ECE-PRYMMAL-YL-6B-SLERP-V2/fd2e3c0b-8b35-463c-a001-444ed6e6dd9a.json b/data/hfopenllm_v2/lalainy/ECE-PRYMMAL-YL-6B-SLERP-V2/fd2e3c0b-8b35-463c-a001-444ed6e6dd9a.json
deleted file mode 100644
index e5787e714..000000000
--- a/data/hfopenllm_v2/lalainy/ECE-PRYMMAL-YL-6B-SLERP-V2/fd2e3c0b-8b35-463c-a001-444ed6e6dd9a.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/lalainy_ECE-PRYMMAL-YL-6B-SLERP-V2/1762652580.3135412",
-  "retrieved_timestamp": "1762652580.3135412",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
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-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "lalainy/ECE-PRYMMAL-YL-6B-SLERP-V2",
-    "developer": "lalainy",
-    "inference_platform": "unknown",
-    "id": "lalainy/ECE-PRYMMAL-YL-6B-SLERP-V2",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 6.061
-    }
-  },
-  "evaluation_results": [
-    {
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-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-        "score_type": "continuous",
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-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.46293726502592586
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-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.28859060402684567
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.48639583333333336
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.32139295212765956
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/langgptai/Qwen-las-v0.1/f6e157c4-0ce9-41c9-b885-9222d894ff0c.json b/data/hfopenllm_v2/langgptai/Qwen-las-v0.1/f6e157c4-0ce9-41c9-b885-9222d894ff0c.json
new file mode 100644
index 000000000..0046e64f5
--- /dev/null
+++ b/data/hfopenllm_v2/langgptai/Qwen-las-v0.1/f6e157c4-0ce9-41c9-b885-9222d894ff0c.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/langgptai_Qwen-las-v0.1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen-las-v0.1",
+    "id": "langgptai/Qwen-las-v0.1",
+    "developer": "langgptai",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "?",
+      "params_billions": 7.901
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3301
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3893
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.037
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2466
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3701
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2325
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/langgptai/qwen1.5-7b-chat-sa-v0.1/36137543-78a7-42a6-ad41-a4121797eec4.json b/data/hfopenllm_v2/langgptai/qwen1.5-7b-chat-sa-v0.1/36137543-78a7-42a6-ad41-a4121797eec4.json
deleted file mode 100644
index 21d17a31f..000000000
--- a/data/hfopenllm_v2/langgptai/qwen1.5-7b-chat-sa-v0.1/36137543-78a7-42a6-ad41-a4121797eec4.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/langgptai_qwen1.5-7b-chat-sa-v0.1/1762652580.314067",
-  "retrieved_timestamp": "1762652580.314068",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "langgptai/qwen1.5-7b-chat-sa-v0.1",
-    "developer": "langgptai",
-    "inference_platform": "unknown",
-    "id": "langgptai/qwen1.5-7b-chat-sa-v0.1",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "?",
-      "params_billions": 15.443
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42677429221133256
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4325267992878656
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.030211480362537766
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.31208053691275167
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3551458333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.29928523936170215
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/langgptai/qwen1.5-7b-chat-sa-v0.1/fe52a94a-5324-4b59-accc-dfd1f9d4aead.json b/data/hfopenllm_v2/langgptai/qwen1.5-7b-chat-sa-v0.1/fe52a94a-5324-4b59-accc-dfd1f9d4aead.json
new file mode 100644
index 000000000..17240757f
--- /dev/null
+++ b/data/hfopenllm_v2/langgptai/qwen1.5-7b-chat-sa-v0.1/fe52a94a-5324-4b59-accc-dfd1f9d4aead.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/langgptai_qwen1.5-7b-chat-sa-v0.1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "qwen1.5-7b-chat-sa-v0.1",
+    "id": "langgptai/qwen1.5-7b-chat-sa-v0.1",
+    "developer": "langgptai",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "?",
+      "params_billions": 15.443
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4268
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4325
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0302
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3121
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3551
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2993
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/lars1234/Mistral-Small-24B-Instruct-2501-writer/1241f5e3-54eb-429e-b109-a5e163e39eda.json b/data/hfopenllm_v2/lars1234/Mistral-Small-24B-Instruct-2501-writer/1241f5e3-54eb-429e-b109-a5e163e39eda.json
new file mode 100644
index 000000000..92337f309
--- /dev/null
+++ b/data/hfopenllm_v2/lars1234/Mistral-Small-24B-Instruct-2501-writer/1241f5e3-54eb-429e-b109-a5e163e39eda.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/lars1234_Mistral-Small-24B-Instruct-2501-writer/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Mistral-Small-24B-Instruct-2501-writer",
+    "id": "lars1234/Mistral-Small-24B-Instruct-2501-writer",
+    "developer": "lars1234",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 23.572
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6565
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6733
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3557
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3893
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4645
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5448
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/lars1234/Mistral-Small-24B-Instruct-2501-writer/89742249-c51e-48e9-8bf1-7aad55e222c1.json b/data/hfopenllm_v2/lars1234/Mistral-Small-24B-Instruct-2501-writer/89742249-c51e-48e9-8bf1-7aad55e222c1.json
deleted file mode 100644
index 97f333e9f..000000000
--- a/data/hfopenllm_v2/lars1234/Mistral-Small-24B-Instruct-2501-writer/89742249-c51e-48e9-8bf1-7aad55e222c1.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/lars1234_Mistral-Small-24B-Instruct-2501-writer/1762652580.314311",
-  "retrieved_timestamp": "1762652580.314312",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "lars1234/Mistral-Small-24B-Instruct-2501-writer",
-    "developer": "lars1234",
-    "inference_platform": "unknown",
-    "id": "lars1234/Mistral-Small-24B-Instruct-2501-writer",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 23.572
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6565346613651777
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6733164099871131
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3557401812688822
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.38926174496644295
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.46453125
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5447972074468085
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/leafspark/Llama-3.1-8B-MultiReflection-Instruct/8ccc7c8c-1d14-45bb-9a6b-f8f69e506139.json b/data/hfopenllm_v2/leafspark/Llama-3.1-8B-MultiReflection-Instruct/8ccc7c8c-1d14-45bb-9a6b-f8f69e506139.json
new file mode 100644
index 000000000..b9d1ba6c5
--- /dev/null
+++ b/data/hfopenllm_v2/leafspark/Llama-3.1-8B-MultiReflection-Instruct/8ccc7c8c-1d14-45bb-9a6b-f8f69e506139.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/leafspark_Llama-3.1-8B-MultiReflection-Instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-3.1-8B-MultiReflection-Instruct",
+    "id": "leafspark/Llama-3.1-8B-MultiReflection-Instruct",
+    "developer": "leafspark",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7125
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5009
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1707
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2928
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3682
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3724
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/leafspark/Llama-3.1-8B-MultiReflection-Instruct/c8a287fc-db9e-4088-aafe-0562aa305011.json b/data/hfopenllm_v2/leafspark/Llama-3.1-8B-MultiReflection-Instruct/c8a287fc-db9e-4088-aafe-0562aa305011.json
deleted file mode 100644
index d43d7ba3a..000000000
--- a/data/hfopenllm_v2/leafspark/Llama-3.1-8B-MultiReflection-Instruct/c8a287fc-db9e-4088-aafe-0562aa305011.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/leafspark_Llama-3.1-8B-MultiReflection-Instruct/1762652580.3145778",
-  "retrieved_timestamp": "1762652580.3145778",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "leafspark/Llama-3.1-8B-MultiReflection-Instruct",
-    "developer": "leafspark",
-    "inference_platform": "unknown",
-    "id": "leafspark/Llama-3.1-8B-MultiReflection-Instruct",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7125382872999197
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5009088261495708
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.17069486404833836
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.29278523489932884
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3681979166666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37242353723404253
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/lemon07r/Gemma-2-Ataraxy-9B/5531b59e-24c0-41af-ab6b-d6a5e38b0a98.json b/data/hfopenllm_v2/lemon07r/Gemma-2-Ataraxy-9B/5531b59e-24c0-41af-ab6b-d6a5e38b0a98.json
new file mode 100644
index 000000000..1a22b28f0
--- /dev/null
+++ b/data/hfopenllm_v2/lemon07r/Gemma-2-Ataraxy-9B/5531b59e-24c0-41af-ab6b-d6a5e38b0a98.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/lemon07r_Gemma-2-Ataraxy-9B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Gemma-2-Ataraxy-9B",
+    "id": "lemon07r/Gemma-2-Ataraxy-9B",
+    "developer": "lemon07r",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Gemma2ForCausalLM",
+      "params_billions": 10.159
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3009
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5931
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0853
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3347
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4424
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4226
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/lemon07r/Gemma-2-Ataraxy-Advanced-9B/63e82cb3-2f6f-4617-abb7-ae093bc27830.json b/data/hfopenllm_v2/lemon07r/Gemma-2-Ataraxy-Advanced-9B/63e82cb3-2f6f-4617-abb7-ae093bc27830.json
new file mode 100644
index 000000000..d0d68741f
--- /dev/null
+++ b/data/hfopenllm_v2/lemon07r/Gemma-2-Ataraxy-Advanced-9B/63e82cb3-2f6f-4617-abb7-ae093bc27830.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/lemon07r_Gemma-2-Ataraxy-Advanced-9B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Gemma-2-Ataraxy-Advanced-9B",
+    "id": "lemon07r/Gemma-2-Ataraxy-Advanced-9B",
+    "developer": "lemon07r",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Gemma2ForCausalLM",
+      "params_billions": 10.159
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5516
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5889
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1979
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3356
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
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diff --git a/data/hfopenllm_v2/lemon07r/Gemma-2-Ataraxy-Remix-9B/0feb74e6-40d4-472d-9233-27faa2d3f802.json b/data/hfopenllm_v2/lemon07r/Gemma-2-Ataraxy-Remix-9B/0feb74e6-40d4-472d-9233-27faa2d3f802.json
new file mode 100644
index 000000000..3e6258067
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new file mode 100644
index 000000000..48d6b6abd
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diff --git a/data/hfopenllm_v2/lemon07r/Gemma-2-Ataraxy-v2a-9B/d094bf6f-9952-45c7-995e-d7eda07f4668.json b/data/hfopenllm_v2/lemon07r/Gemma-2-Ataraxy-v2a-9B/d094bf6f-9952-45c7-995e-d7eda07f4668.json
new file mode 100644
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diff --git a/data/hfopenllm_v2/lemon07r/Gemma-2-Ataraxy-v2f-9B/0e5f3393-8a6a-4f2f-948a-a37ae4d8fdeb.json b/data/hfopenllm_v2/lemon07r/Gemma-2-Ataraxy-v2f-9B/0e5f3393-8a6a-4f2f-948a-a37ae4d8fdeb.json
new file mode 100644
index 000000000..a5ae93322
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diff --git a/data/hfopenllm_v2/lemon07r/Gemma-2-Ataraxy-v3-Advanced-9B/f91982ac-0cab-415a-8503-e090d195bd05.json b/data/hfopenllm_v2/lemon07r/Gemma-2-Ataraxy-v3-Advanced-9B/f91982ac-0cab-415a-8503-e090d195bd05.json
new file mode 100644
index 000000000..c793e8539
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new file mode 100644
index 000000000..5ef333acb
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new file mode 100644
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diff --git a/data/hfopenllm_v2/lemon07r/Gemma-2-Ataraxy-v3j-9B/bbc812dd-9a9c-4f99-b813-50361025eea3.json b/data/hfopenllm_v2/lemon07r/Gemma-2-Ataraxy-v3j-9B/bbc812dd-9a9c-4f99-b813-50361025eea3.json
new file mode 100644
index 000000000..627159167
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diff --git a/data/hfopenllm_v2/lemon07r/Gemma-2-Ataraxy-v4-Advanced-9B/fc818799-49d5-4fca-b131-ebe8d5d831f1.json b/data/hfopenllm_v2/lemon07r/Gemma-2-Ataraxy-v4-Advanced-9B/fc818799-49d5-4fca-b131-ebe8d5d831f1.json
new file mode 100644
index 000000000..5762b4771
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diff --git a/data/hfopenllm_v2/lemon07r/Gemma-2-Ataraxy-v4a-Advanced-9B/33349989-8573-4d71-ae0f-99691fdaffc3.json b/data/hfopenllm_v2/lemon07r/Gemma-2-Ataraxy-v4a-Advanced-9B/33349989-8573-4d71-ae0f-99691fdaffc3.json
new file mode 100644
index 000000000..f1c4a9342
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diff --git a/data/hfopenllm_v2/lemon07r/Gemma-2-Ataraxy-v4b-9B/91551de5-d8ac-4c0d-b9b4-3627db947f0e.json b/data/hfopenllm_v2/lemon07r/Gemma-2-Ataraxy-v4b-9B/91551de5-d8ac-4c0d-b9b4-3627db947f0e.json
new file mode 100644
index 000000000..de6307f19
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new file mode 100644
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new file mode 100644
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diff --git a/data/hfopenllm_v2/lemon07r/Llama-3-RedMagic4-8B/e402d129-f4f1-4b95-b079-4f30936119aa.json b/data/hfopenllm_v2/lemon07r/Llama-3-RedMagic4-8B/e402d129-f4f1-4b95-b079-4f30936119aa.json
new file mode 100644
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+        "hf_repo": "TAUR-Lab/MuSR"
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+        "hf_repo": "TIGER-Lab/MMLU-Pro"
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/lemon07r/llama-3-NeuralMahou-8b/814e1ea7-a639-4b05-9208-0bf537ea5479.json b/data/hfopenllm_v2/lemon07r/llama-3-NeuralMahou-8b/814e1ea7-a639-4b05-9208-0bf537ea5479.json
new file mode 100644
index 000000000..27784d919
--- /dev/null
+++ b/data/hfopenllm_v2/lemon07r/llama-3-NeuralMahou-8b/814e1ea7-a639-4b05-9208-0bf537ea5479.json
@@ -0,0 +1,132 @@
+{
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+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "llama-3-NeuralMahou-8b",
+    "id": "lemon07r/llama-3-NeuralMahou-8b",
+    "developer": "lemon07r",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
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+      "source_data": {
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+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
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+    {
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+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
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+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
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+        "hf_repo": "TAUR-Lab/MuSR"
+      },
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+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3873
+      }
+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
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+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/lesubra/ECE-EIFFEL-3B/35a50d36-31d0-454b-a13c-80ca26945f94.json b/data/hfopenllm_v2/lesubra/ECE-EIFFEL-3B/35a50d36-31d0-454b-a13c-80ca26945f94.json
new file mode 100644
index 000000000..83e427178
--- /dev/null
+++ b/data/hfopenllm_v2/lesubra/ECE-EIFFEL-3B/35a50d36-31d0-454b-a13c-80ca26945f94.json
@@ -0,0 +1,132 @@
+{
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+  "evaluation_id": "hfopenllm_v2/lesubra_ECE-EIFFEL-3B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "ECE-EIFFEL-3B",
+    "id": "lesubra/ECE-EIFFEL-3B",
+    "developer": "lesubra",
+    "inference_platform": "unknown",
+    "additional_details": {
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+      "architecture": "Phi3ForCausalLM",
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+        "source_type": "hf_dataset",
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+        "min_score": 0.0,
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
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+        "evaluation_description": "Accuracy on BBH",
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+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+    },
+    {
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+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
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+        "hf_repo": "Idavidrein/gpqa"
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+      },
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+    },
+    {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "max_score": 1.0
+      },
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+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
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+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/lesubra/ECE-EIFFEL-3B/b32f3852-47ce-4ca5-98a0-5e2f166a11e9.json b/data/hfopenllm_v2/lesubra/ECE-EIFFEL-3B/b32f3852-47ce-4ca5-98a0-5e2f166a11e9.json
deleted file mode 100644
index d13ebcfd0..000000000
--- a/data/hfopenllm_v2/lesubra/ECE-EIFFEL-3B/b32f3852-47ce-4ca5-98a0-5e2f166a11e9.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/lesubra/ECE-EIFFEL-3Bv2/7e511f3b-7d8e-44c4-ad3f-7f6e66231109.json b/data/hfopenllm_v2/lesubra/ECE-EIFFEL-3Bv2/7e511f3b-7d8e-44c4-ad3f-7f6e66231109.json
deleted file mode 100644
index 695a131ff..000000000
--- a/data/hfopenllm_v2/lesubra/ECE-EIFFEL-3Bv2/7e511f3b-7d8e-44c4-ad3f-7f6e66231109.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/lesubra/ECE-EIFFEL-3Bv2/87347017-4ff1-4bd3-a1d7-8f3999061209.json b/data/hfopenllm_v2/lesubra/ECE-EIFFEL-3Bv2/87347017-4ff1-4bd3-a1d7-8f3999061209.json
new file mode 100644
index 000000000..3d51d39fa
--- /dev/null
+++ b/data/hfopenllm_v2/lesubra/ECE-EIFFEL-3Bv2/87347017-4ff1-4bd3-a1d7-8f3999061209.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/lesubra_ECE-EIFFEL-3Bv2/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "ECE-EIFFEL-3Bv2",
+    "id": "lesubra/ECE-EIFFEL-3Bv2",
+    "developer": "lesubra",
+    "inference_platform": "unknown",
+    "additional_details": {
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+      "architecture": "Phi3ForCausalLM",
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
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+      "metric_config": {
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+        "hf_repo": "SaylorTwift/bbh"
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+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
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+      "metric_config": {
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+        "hf_repo": "TAUR-Lab/MuSR"
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+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
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+    {
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+        "hf_repo": "TIGER-Lab/MMLU-Pro"
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+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3999
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/lesubra/ECE-EIFFEL-3Bv3/317a27cd-9458-4157-a304-0c1e3739d0fb.json b/data/hfopenllm_v2/lesubra/ECE-EIFFEL-3Bv3/317a27cd-9458-4157-a304-0c1e3739d0fb.json
deleted file mode 100644
index 17bd1e742..000000000
--- a/data/hfopenllm_v2/lesubra/ECE-EIFFEL-3Bv3/317a27cd-9458-4157-a304-0c1e3739d0fb.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/lesubra_ECE-EIFFEL-3Bv3/1762652580.319853",
-  "retrieved_timestamp": "1762652580.319854",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "lesubra/ECE-EIFFEL-3Bv3",
-    "developer": "lesubra",
-    "inference_platform": "unknown",
-    "id": "lesubra/ECE-EIFFEL-3Bv3",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Phi3ForCausalLM",
-      "params_billions": 3.821
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3786142989490109
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5469446669064592
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.16691842900302115
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3296979865771812
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.46751041666666665
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.39752327127659576
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/lesubra/ECE-EIFFEL-3Bv3/976184ed-c4ed-4898-83c7-521a8a8309ac.json b/data/hfopenllm_v2/lesubra/ECE-EIFFEL-3Bv3/976184ed-c4ed-4898-83c7-521a8a8309ac.json
new file mode 100644
index 000000000..33d7b6db8
--- /dev/null
+++ b/data/hfopenllm_v2/lesubra/ECE-EIFFEL-3Bv3/976184ed-c4ed-4898-83c7-521a8a8309ac.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/lesubra_ECE-EIFFEL-3Bv3/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "ECE-EIFFEL-3Bv3",
+    "id": "lesubra/ECE-EIFFEL-3Bv3",
+    "developer": "lesubra",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Phi3ForCausalLM",
+      "params_billions": 3.821
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3786
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5469
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1669
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3297
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4675
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3975
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/lesubra/ECE-PRYMMAL-3B-SLERP-V1/6fb1242d-bf20-43e6-acfe-77a88c020eee.json b/data/hfopenllm_v2/lesubra/ECE-PRYMMAL-3B-SLERP-V1/6fb1242d-bf20-43e6-acfe-77a88c020eee.json
deleted file mode 100644
index 1e86dfb18..000000000
--- a/data/hfopenllm_v2/lesubra/ECE-PRYMMAL-3B-SLERP-V1/6fb1242d-bf20-43e6-acfe-77a88c020eee.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/lesubra_ECE-PRYMMAL-3B-SLERP-V1/1762652580.320159",
-  "retrieved_timestamp": "1762652580.32016",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "lesubra/ECE-PRYMMAL-3B-SLERP-V1",
-    "developer": "lesubra",
-    "inference_platform": "unknown",
-    "id": "lesubra/ECE-PRYMMAL-3B-SLERP-V1",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Phi3ForCausalLM",
-      "params_billions": 3.821
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2932840418977203
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5340594627933309
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1661631419939577
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.31711409395973156
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.45951041666666664
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3900432180851064
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/lesubra/ECE-PRYMMAL-3B-SLERP-V1/fa52f072-7725-4a4e-b728-042e5897a1bd.json b/data/hfopenllm_v2/lesubra/ECE-PRYMMAL-3B-SLERP-V1/fa52f072-7725-4a4e-b728-042e5897a1bd.json
new file mode 100644
index 000000000..692fe6956
--- /dev/null
+++ b/data/hfopenllm_v2/lesubra/ECE-PRYMMAL-3B-SLERP-V1/fa52f072-7725-4a4e-b728-042e5897a1bd.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/lesubra_ECE-PRYMMAL-3B-SLERP-V1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "ECE-PRYMMAL-3B-SLERP-V1",
+    "id": "lesubra/ECE-PRYMMAL-3B-SLERP-V1",
+    "developer": "lesubra",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Phi3ForCausalLM",
+      "params_billions": 3.821
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2933
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5341
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1662
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3171
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4595
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.39
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/lesubra/ECE-PRYMMAL-3B-SLERP-V2/6374dcee-301c-4f28-9316-82ed8e693089.json b/data/hfopenllm_v2/lesubra/ECE-PRYMMAL-3B-SLERP-V2/6374dcee-301c-4f28-9316-82ed8e693089.json
new file mode 100644
index 000000000..91ea20f99
--- /dev/null
+++ b/data/hfopenllm_v2/lesubra/ECE-PRYMMAL-3B-SLERP-V2/6374dcee-301c-4f28-9316-82ed8e693089.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/lesubra_ECE-PRYMMAL-3B-SLERP-V2/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "ECE-PRYMMAL-3B-SLERP-V2",
+    "id": "lesubra/ECE-PRYMMAL-3B-SLERP-V2",
+    "developer": "lesubra",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Phi3ForCausalLM",
+      "params_billions": 3.821
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2933
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5341
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1662
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3171
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4595
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.39
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/lesubra/ECE-PRYMMAL-3B-SLERP-V2/cb14b942-7c2f-489f-bede-d25279ea39ac.json b/data/hfopenllm_v2/lesubra/ECE-PRYMMAL-3B-SLERP-V2/cb14b942-7c2f-489f-bede-d25279ea39ac.json
deleted file mode 100644
index 6d78ac84c..000000000
--- a/data/hfopenllm_v2/lesubra/ECE-PRYMMAL-3B-SLERP-V2/cb14b942-7c2f-489f-bede-d25279ea39ac.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/lesubra_ECE-PRYMMAL-3B-SLERP-V2/1762652580.320386",
-  "retrieved_timestamp": "1762652580.3203871",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "lesubra/ECE-PRYMMAL-3B-SLERP-V2",
-    "developer": "lesubra",
-    "inference_platform": "unknown",
-    "id": "lesubra/ECE-PRYMMAL-3B-SLERP-V2",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Phi3ForCausalLM",
-      "params_billions": 3.821
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2932840418977203
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5340594627933309
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1661631419939577
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.31711409395973156
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.45951041666666664
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3900432180851064
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/lesubra/ECE-PRYMMAL-3B-SLERP_2-V1/b7c95cb4-f32f-466e-a28c-32afd9ec5578.json b/data/hfopenllm_v2/lesubra/ECE-PRYMMAL-3B-SLERP_2-V1/b7c95cb4-f32f-466e-a28c-32afd9ec5578.json
new file mode 100644
index 000000000..7c02e49b7
--- /dev/null
+++ b/data/hfopenllm_v2/lesubra/ECE-PRYMMAL-3B-SLERP_2-V1/b7c95cb4-f32f-466e-a28c-32afd9ec5578.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/lesubra_ECE-PRYMMAL-3B-SLERP_2-V1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "ECE-PRYMMAL-3B-SLERP_2-V1",
+    "id": "lesubra/ECE-PRYMMAL-3B-SLERP_2-V1",
+    "developer": "lesubra",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Phi3ForCausalLM",
+      "params_billions": 3.821
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3649
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5411
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1677
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3213
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4661
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.399
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/lesubra/ECE-PRYMMAL-3B-SLERP_2-V1/c6b7d02d-4d2d-43fa-95a8-aa188f38120a.json b/data/hfopenllm_v2/lesubra/ECE-PRYMMAL-3B-SLERP_2-V1/c6b7d02d-4d2d-43fa-95a8-aa188f38120a.json
deleted file mode 100644
index 113831d3f..000000000
--- a/data/hfopenllm_v2/lesubra/ECE-PRYMMAL-3B-SLERP_2-V1/c6b7d02d-4d2d-43fa-95a8-aa188f38120a.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/lesubra_ECE-PRYMMAL-3B-SLERP_2-V1/1762652580.320611",
-  "retrieved_timestamp": "1762652580.3206122",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "lesubra/ECE-PRYMMAL-3B-SLERP_2-V1",
-    "developer": "lesubra",
-    "inference_platform": "unknown",
-    "id": "lesubra/ECE-PRYMMAL-3B-SLERP_2-V1",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Phi3ForCausalLM",
-      "params_billions": 3.821
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3649006857360692
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5411447467732948
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.16767371601208458
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3213087248322148
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4661458333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3990192819148936
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/lesubra/ECE-PRYMMAL-3B-SLERP_2-V2/653cb458-4616-4325-b377-a79ee4a5d9c6.json b/data/hfopenllm_v2/lesubra/ECE-PRYMMAL-3B-SLERP_2-V2/653cb458-4616-4325-b377-a79ee4a5d9c6.json
deleted file mode 100644
index 09c4eac50..000000000
--- a/data/hfopenllm_v2/lesubra/ECE-PRYMMAL-3B-SLERP_2-V2/653cb458-4616-4325-b377-a79ee4a5d9c6.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/lesubra_ECE-PRYMMAL-3B-SLERP_2-V2/1762652580.320825",
-  "retrieved_timestamp": "1762652580.320826",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "lesubra/ECE-PRYMMAL-3B-SLERP_2-V2",
-    "developer": "lesubra",
-    "inference_platform": "unknown",
-    "id": "lesubra/ECE-PRYMMAL-3B-SLERP_2-V2",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Phi3ForCausalLM",
-      "params_billions": 3.821
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3664244205375071
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5411447467732948
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.16767371601208458
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3213087248322148
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4661458333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3990192819148936
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/lesubra/ECE-PRYMMAL-3B-SLERP_2-V2/bddd742b-f7c9-44aa-ad2f-83f51a4625be.json b/data/hfopenllm_v2/lesubra/ECE-PRYMMAL-3B-SLERP_2-V2/bddd742b-f7c9-44aa-ad2f-83f51a4625be.json
new file mode 100644
index 000000000..7ac9d72fd
--- /dev/null
+++ b/data/hfopenllm_v2/lesubra/ECE-PRYMMAL-3B-SLERP_2-V2/bddd742b-f7c9-44aa-ad2f-83f51a4625be.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/lesubra_ECE-PRYMMAL-3B-SLERP_2-V2/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "ECE-PRYMMAL-3B-SLERP_2-V2",
+    "id": "lesubra/ECE-PRYMMAL-3B-SLERP_2-V2",
+    "developer": "lesubra",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Phi3ForCausalLM",
+      "params_billions": 3.821
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3664
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5411
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1677
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3213
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4661
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.399
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/lesubra/merge-test/099af0ee-c06b-4435-8f97-27681f3eddff.json b/data/hfopenllm_v2/lesubra/merge-test/099af0ee-c06b-4435-8f97-27681f3eddff.json
new file mode 100644
index 000000000..0105f3bb4
--- /dev/null
+++ b/data/hfopenllm_v2/lesubra/merge-test/099af0ee-c06b-4435-8f97-27681f3eddff.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/lesubra_merge-test/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
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+        "hf_repo": "TIGER-Lab/MMLU-Pro"
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+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/lesubra/merge-test/6f16b360-346a-4299-8f60-fafc0bb8ebcd.json b/data/hfopenllm_v2/lesubra/merge-test/6f16b360-346a-4299-8f60-fafc0bb8ebcd.json
deleted file mode 100644
index 9cc74e152..000000000
--- a/data/hfopenllm_v2/lesubra/merge-test/6f16b360-346a-4299-8f60-fafc0bb8ebcd.json
+++ /dev/null
@@ -1,105 +0,0 @@
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-    "inference_platform": "unknown",
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diff --git a/data/hfopenllm_v2/lightblue/suzume-llama-3-8B-multilingual-orpo-borda-full/fa826f3a-8688-4518-8d44-68189abb47ba.json b/data/hfopenllm_v2/lightblue/suzume-llama-3-8B-multilingual-orpo-borda-full/fa826f3a-8688-4518-8d44-68189abb47ba.json
new file mode 100644
index 000000000..122789813
--- /dev/null
+++ b/data/hfopenllm_v2/lightblue/suzume-llama-3-8B-multilingual-orpo-borda-full/fa826f3a-8688-4518-8d44-68189abb47ba.json
@@ -0,0 +1,132 @@
+{
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+  "evaluation_id": "hfopenllm_v2/lightblue_suzume-llama-3-8B-multilingual-orpo-borda-full/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "suzume-llama-3-8B-multilingual-orpo-borda-full",
+    "id": "lightblue/suzume-llama-3-8B-multilingual-orpo-borda-full",
+    "developer": "lightblue",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
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+      },
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+        "lower_is_better": false,
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+        "min_score": 0.0,
+        "max_score": 1.0
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
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+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
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+        "hf_repo": "Idavidrein/gpqa"
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+    },
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
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+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
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+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
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+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/lightblue/suzume-llama-3-8B-multilingual-orpo-borda-half/10d29dc0-3486-40df-9933-1ce8f0fabaa2.json b/data/hfopenllm_v2/lightblue/suzume-llama-3-8B-multilingual-orpo-borda-half/10d29dc0-3486-40df-9933-1ce8f0fabaa2.json
new file mode 100644
index 000000000..b4ab0a93e
--- /dev/null
+++ b/data/hfopenllm_v2/lightblue/suzume-llama-3-8B-multilingual-orpo-borda-half/10d29dc0-3486-40df-9933-1ce8f0fabaa2.json
@@ -0,0 +1,132 @@
+{
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+  "evaluation_id": "hfopenllm_v2/lightblue_suzume-llama-3-8B-multilingual-orpo-borda-half/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
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+    "name": "suzume-llama-3-8B-multilingual-orpo-borda-half",
+    "id": "lightblue/suzume-llama-3-8B-multilingual-orpo-borda-half",
+    "developer": "lightblue",
+    "inference_platform": "unknown",
+    "additional_details": {
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+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
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+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+    {
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+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
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+      },
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+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/lightblue/suzume-llama-3-8B-multilingual-orpo-borda-top25/741ff375-3392-461e-a9b0-e0dab4e6e9f8.json b/data/hfopenllm_v2/lightblue/suzume-llama-3-8B-multilingual-orpo-borda-top25/741ff375-3392-461e-a9b0-e0dab4e6e9f8.json
new file mode 100644
index 000000000..9a8eccba8
--- /dev/null
+++ b/data/hfopenllm_v2/lightblue/suzume-llama-3-8B-multilingual-orpo-borda-top25/741ff375-3392-461e-a9b0-e0dab4e6e9f8.json
@@ -0,0 +1,132 @@
+{
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+  "evaluation_id": "hfopenllm_v2/lightblue_suzume-llama-3-8B-multilingual-orpo-borda-top25/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "suzume-llama-3-8B-multilingual-orpo-borda-top25",
+    "id": "lightblue/suzume-llama-3-8B-multilingual-orpo-borda-top25",
+    "developer": "lightblue",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
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+        "score_type": "continuous",
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+        "max_score": 1.0
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
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+        "score_type": "continuous",
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+        "hf_repo": "Idavidrein/gpqa"
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+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
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+      },
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+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
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+        "max_score": 1.0
+      },
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+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/lightblue/suzume-llama-3-8B-multilingual-orpo-borda-top75/c3d709de-118d-40c2-ab89-040efedd7fdb.json b/data/hfopenllm_v2/lightblue/suzume-llama-3-8B-multilingual-orpo-borda-top75/c3d709de-118d-40c2-ab89-040efedd7fdb.json
new file mode 100644
index 000000000..669b89390
--- /dev/null
+++ b/data/hfopenllm_v2/lightblue/suzume-llama-3-8B-multilingual-orpo-borda-top75/c3d709de-118d-40c2-ab89-040efedd7fdb.json
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/lightblue/suzume-llama-3-8B-multilingual/9be3dd27-93fa-49e9-a628-5a77a8a3bb9a.json b/data/hfopenllm_v2/lightblue/suzume-llama-3-8B-multilingual/9be3dd27-93fa-49e9-a628-5a77a8a3bb9a.json
new file mode 100644
index 000000000..919b41cbc
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+++ b/data/hfopenllm_v2/lightblue/suzume-llama-3-8B-multilingual/9be3dd27-93fa-49e9-a628-5a77a8a3bb9a.json
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/lkoenig/BBAI_145_/0f29b1ac-1943-463a-8a79-a4c0ace371cb.json b/data/hfopenllm_v2/lkoenig/BBAI_145_/0f29b1ac-1943-463a-8a79-a4c0ace371cb.json
deleted file mode 100644
index b17ff2072..000000000
--- a/data/hfopenllm_v2/lkoenig/BBAI_145_/0f29b1ac-1943-463a-8a79-a4c0ace371cb.json
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new file mode 100644
index 000000000..302154c6b
--- /dev/null
+++ b/data/hfopenllm_v2/lkoenig/BBAI_145_/be850d1b-bf75-4c34-830f-8881792ac842.json
@@ -0,0 +1,132 @@
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/lkoenig/BBAI_200_Gemma/6b644b97-4fc3-4826-9ea9-68be1dc8e947.json b/data/hfopenllm_v2/lkoenig/BBAI_200_Gemma/6b644b97-4fc3-4826-9ea9-68be1dc8e947.json
new file mode 100644
index 000000000..7865c5bfc
--- /dev/null
+++ b/data/hfopenllm_v2/lkoenig/BBAI_200_Gemma/6b644b97-4fc3-4826-9ea9-68be1dc8e947.json
@@ -0,0 +1,132 @@
+{
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/lkoenig/BBAI_212_QwenLawLo/861d41f1-6d33-4e07-96ea-2c39a36c4b63.json b/data/hfopenllm_v2/lkoenig/BBAI_212_QwenLawLo/861d41f1-6d33-4e07-96ea-2c39a36c4b63.json
new file mode 100644
index 000000000..2d76a0d19
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new file mode 100644
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diff --git a/data/hfopenllm_v2/lkoenig/BBAI_230_Xiaqwen/db48206d-700b-45f3-b597-8752110113b5.json b/data/hfopenllm_v2/lkoenig/BBAI_230_Xiaqwen/db48206d-700b-45f3-b597-8752110113b5.json
new file mode 100644
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diff --git a/data/hfopenllm_v2/lkoenig/BBAI_375_QwenDyancabs/b52b76e4-9dec-4336-88b1-d98b95b95d2a.json b/data/hfopenllm_v2/lkoenig/BBAI_375_QwenDyancabs/b52b76e4-9dec-4336-88b1-d98b95b95d2a.json
new file mode 100644
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diff --git a/data/hfopenllm_v2/lkoenig/BBAI_456_QwenKoen/ba9ec2ea-2bce-4999-9e48-e1d0795b31d0.json b/data/hfopenllm_v2/lkoenig/BBAI_456_QwenKoen/ba9ec2ea-2bce-4999-9e48-e1d0795b31d0.json
new file mode 100644
index 000000000..b1a7b3d3e
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diff --git a/data/hfopenllm_v2/lkoenig/BBAI_7B_KoenQwenDyan/724221ce-d7b2-43cb-8e16-72ac529a7b60.json b/data/hfopenllm_v2/lkoenig/BBAI_7B_KoenQwenDyan/724221ce-d7b2-43cb-8e16-72ac529a7b60.json
new file mode 100644
index 000000000..41f147ae3
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new file mode 100644
index 000000000..b762f6c72
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diff --git a/data/hfopenllm_v2/lkoenig/BBAI_7B_QwenDyanKoenLo/d3819133-bae8-493d-9a86-aee67da5d115.json b/data/hfopenllm_v2/lkoenig/BBAI_7B_QwenDyanKoenLo/d3819133-bae8-493d-9a86-aee67da5d115.json
new file mode 100644
index 000000000..536de7261
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diff --git a/data/hfopenllm_v2/lkoenig/BBAI_7B_QwenDyancabsLAW/5c3a022f-7221-4b4f-ab67-d5b69c558434.json b/data/hfopenllm_v2/lkoenig/BBAI_7B_QwenDyancabsLAW/5c3a022f-7221-4b4f-ab67-d5b69c558434.json
new file mode 100644
index 000000000..9a62f605c
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/llmat/Mistral-v0.3-7B-ORPO/c161b868-746f-4d88-9f41-eb8283a7b87a.json b/data/hfopenllm_v2/llmat/Mistral-v0.3-7B-ORPO/c161b868-746f-4d88-9f41-eb8283a7b87a.json
new file mode 100644
index 000000000..240e3a159
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+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3978
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0242
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2668
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3555
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2278
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/llmat/Mistral-v0.3-7B-ORPO/f79a76fc-09ff-48c8-b0e7-5f18e0750e6d.json b/data/hfopenllm_v2/llmat/Mistral-v0.3-7B-ORPO/f79a76fc-09ff-48c8-b0e7-5f18e0750e6d.json
new file mode 100644
index 000000000..ffd455c9c
--- /dev/null
+++ b/data/hfopenllm_v2/llmat/Mistral-v0.3-7B-ORPO/f79a76fc-09ff-48c8-b0e7-5f18e0750e6d.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/llmat_Mistral-v0.3-7B-ORPO/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Mistral-v0.3-7B-ORPO",
+    "id": "llmat/Mistral-v0.3-7B-ORPO",
+    "developer": "llmat",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.248
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.364
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4005
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0015
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2693
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3529
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2301
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/llnYou/ECE-PRYMMAL-YL-1B-SLERP-V5/334bc38a-becd-405b-8982-dfaf5de35c4b.json b/data/hfopenllm_v2/llnYou/ECE-PRYMMAL-YL-1B-SLERP-V5/334bc38a-becd-405b-8982-dfaf5de35c4b.json
deleted file mode 100644
index 5ecfaad90..000000000
--- a/data/hfopenllm_v2/llnYou/ECE-PRYMMAL-YL-1B-SLERP-V5/334bc38a-becd-405b-8982-dfaf5de35c4b.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/llnYou_ECE-PRYMMAL-YL-1B-SLERP-V5/1762652580.3253949",
-  "retrieved_timestamp": "1762652580.325396",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "llnYou/ECE-PRYMMAL-YL-1B-SLERP-V5",
-    "developer": "llnYou",
-    "inference_platform": "unknown",
-    "id": "llnYou/ECE-PRYMMAL-YL-1B-SLERP-V5",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 1.544
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.33125329680802496
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42329545804357255
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11102719033232629
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2860738255033557
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3868020833333334
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.29305186170212766
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/llnYou/ECE-PRYMMAL-YL-1B-SLERP-V5/39f4d1ab-fd42-4746-b949-9666ce32f9d1.json b/data/hfopenllm_v2/llnYou/ECE-PRYMMAL-YL-1B-SLERP-V5/39f4d1ab-fd42-4746-b949-9666ce32f9d1.json
new file mode 100644
index 000000000..cc9cfb3e3
--- /dev/null
+++ b/data/hfopenllm_v2/llnYou/ECE-PRYMMAL-YL-1B-SLERP-V5/39f4d1ab-fd42-4746-b949-9666ce32f9d1.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/llnYou_ECE-PRYMMAL-YL-1B-SLERP-V5/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "ECE-PRYMMAL-YL-1B-SLERP-V5",
+    "id": "llnYou/ECE-PRYMMAL-YL-1B-SLERP-V5",
+    "developer": "llnYou",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 1.544
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3313
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4233
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.111
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2861
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3868
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2931
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/llnYou/ECE-PRYMMAL-YL-1B-SLERP-V6/8348f316-9109-4229-9fee-edc02431befa.json b/data/hfopenllm_v2/llnYou/ECE-PRYMMAL-YL-1B-SLERP-V6/8348f316-9109-4229-9fee-edc02431befa.json
new file mode 100644
index 000000000..48d4a3877
--- /dev/null
+++ b/data/hfopenllm_v2/llnYou/ECE-PRYMMAL-YL-1B-SLERP-V6/8348f316-9109-4229-9fee-edc02431befa.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/llnYou_ECE-PRYMMAL-YL-1B-SLERP-V6/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "ECE-PRYMMAL-YL-1B-SLERP-V6",
+    "id": "llnYou/ECE-PRYMMAL-YL-1B-SLERP-V6",
+    "developer": "llnYou",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 1.357
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1388
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3944
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0023
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2903
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3928
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.235
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/llnYou/ECE-PRYMMAL-YL-1B-SLERP-V6/eaa1adca-5379-4aab-bf39-8641df58a530.json b/data/hfopenllm_v2/llnYou/ECE-PRYMMAL-YL-1B-SLERP-V6/eaa1adca-5379-4aab-bf39-8641df58a530.json
deleted file mode 100644
index 9565d0d92..000000000
--- a/data/hfopenllm_v2/llnYou/ECE-PRYMMAL-YL-1B-SLERP-V6/eaa1adca-5379-4aab-bf39-8641df58a530.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/llnYou_ECE-PRYMMAL-YL-1B-SLERP-V6/1762652580.325702",
-  "retrieved_timestamp": "1762652580.325703",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "llnYou/ECE-PRYMMAL-YL-1B-SLERP-V6",
-    "developer": "llnYou",
-    "inference_platform": "unknown",
-    "id": "llnYou/ECE-PRYMMAL-YL-1B-SLERP-V6",
-    "additional_details": {
-      "precision": "bfloat16",
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-        "min_score": 0,
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-        "lower_is_better": false,
-        "score_type": "continuous",
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diff --git a/data/hfopenllm_v2/llnYou/ECE-PRYMMAL-YL-3B-SLERP-V1/6b2346c6-5fbf-4195-b3bb-66bbd446ca53.json b/data/hfopenllm_v2/llnYou/ECE-PRYMMAL-YL-3B-SLERP-V1/6b2346c6-5fbf-4195-b3bb-66bbd446ca53.json
new file mode 100644
index 000000000..914529969
--- /dev/null
+++ b/data/hfopenllm_v2/llnYou/ECE-PRYMMAL-YL-3B-SLERP-V1/6b2346c6-5fbf-4195-b3bb-66bbd446ca53.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/llnYou_ECE-PRYMMAL-YL-3B-SLERP-V1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "ECE-PRYMMAL-YL-3B-SLERP-V1",
+    "id": "llnYou/ECE-PRYMMAL-YL-3B-SLERP-V1",
+    "developer": "llnYou",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 2.81
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2346
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4018
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0091
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2936
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3364
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.285
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/llnYou/ECE-PRYMMAL-YL-3B-SLERP-V1/844c959f-6859-4220-bdd8-99e6af53808b.json b/data/hfopenllm_v2/llnYou/ECE-PRYMMAL-YL-3B-SLERP-V1/844c959f-6859-4220-bdd8-99e6af53808b.json
deleted file mode 100644
index 1517d28cb..000000000
--- a/data/hfopenllm_v2/llnYou/ECE-PRYMMAL-YL-3B-SLERP-V1/844c959f-6859-4220-bdd8-99e6af53808b.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/llnYou_ECE-PRYMMAL-YL-3B-SLERP-V1/1762652580.325917",
-  "retrieved_timestamp": "1762652580.325917",
-  "source_data": [
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-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
-    "name": "llnYou/ECE-PRYMMAL-YL-3B-SLERP-V1",
-    "developer": "llnYou",
-    "inference_platform": "unknown",
-    "id": "llnYou/ECE-PRYMMAL-YL-3B-SLERP-V1",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 2.81
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
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-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3364479166666667
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2849900265957447
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/llnYou/ECE-PRYMMAL-YL-3B-SLERP-V2/2bb16fd8-516f-42d6-91e1-2f3f4024f0d4.json b/data/hfopenllm_v2/llnYou/ECE-PRYMMAL-YL-3B-SLERP-V2/2bb16fd8-516f-42d6-91e1-2f3f4024f0d4.json
deleted file mode 100644
index d250c850c..000000000
--- a/data/hfopenllm_v2/llnYou/ECE-PRYMMAL-YL-3B-SLERP-V2/2bb16fd8-516f-42d6-91e1-2f3f4024f0d4.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/llnYou_ECE-PRYMMAL-YL-3B-SLERP-V2/1762652580.326129",
-  "retrieved_timestamp": "1762652580.326129",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "llnYou/ECE-PRYMMAL-YL-3B-SLERP-V2",
-    "developer": "llnYou",
-    "inference_platform": "unknown",
-    "id": "llnYou/ECE-PRYMMAL-YL-3B-SLERP-V2",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 2.81
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-        "score_type": "continuous",
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-      },
-      "score_details": {
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-    {
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-        "score_type": "continuous",
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-        "score_type": "continuous",
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-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3587708333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/llnYou/ECE-PRYMMAL-YL-3B-SLERP-V2/8645ffc1-6487-4205-b8b0-e980e094ac6c.json b/data/hfopenllm_v2/llnYou/ECE-PRYMMAL-YL-3B-SLERP-V2/8645ffc1-6487-4205-b8b0-e980e094ac6c.json
new file mode 100644
index 000000000..dd572deaa
--- /dev/null
+++ b/data/hfopenllm_v2/llnYou/ECE-PRYMMAL-YL-3B-SLERP-V2/8645ffc1-6487-4205-b8b0-e980e094ac6c.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/llnYou_ECE-PRYMMAL-YL-3B-SLERP-V2/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "ECE-PRYMMAL-YL-3B-SLERP-V2",
+    "id": "llnYou/ECE-PRYMMAL-YL-3B-SLERP-V2",
+    "developer": "llnYou",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 2.81
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2309
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.399
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0128
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2768
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3588
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.29
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/llnYou/ECE-PRYMMAL-YL-3B-SLERP-V3/183cd87c-2415-4428-9ad1-9d41c0dcdc41.json b/data/hfopenllm_v2/llnYou/ECE-PRYMMAL-YL-3B-SLERP-V3/183cd87c-2415-4428-9ad1-9d41c0dcdc41.json
deleted file mode 100644
index b684bb6e7..000000000
--- a/data/hfopenllm_v2/llnYou/ECE-PRYMMAL-YL-3B-SLERP-V3/183cd87c-2415-4428-9ad1-9d41c0dcdc41.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/llnYou_ECE-PRYMMAL-YL-3B-SLERP-V3/1762652580.326333",
-  "retrieved_timestamp": "1762652580.326334",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "llnYou/ECE-PRYMMAL-YL-3B-SLERP-V3",
-    "developer": "llnYou",
-    "inference_platform": "unknown",
-    "id": "llnYou/ECE-PRYMMAL-YL-3B-SLERP-V3",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Phi3ForCausalLM",
-      "params_billions": 3.821
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-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
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-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
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-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1299093655589124
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30453020134228187
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.43613541666666666
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.40433843085106386
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/llnYou/ECE-PRYMMAL-YL-3B-SLERP-V3/2c6d1e57-7673-4a86-808e-6ff6a7146a11.json b/data/hfopenllm_v2/llnYou/ECE-PRYMMAL-YL-3B-SLERP-V3/2c6d1e57-7673-4a86-808e-6ff6a7146a11.json
new file mode 100644
index 000000000..b5bc635f3
--- /dev/null
+++ b/data/hfopenllm_v2/llnYou/ECE-PRYMMAL-YL-3B-SLERP-V3/2c6d1e57-7673-4a86-808e-6ff6a7146a11.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/llnYou_ECE-PRYMMAL-YL-3B-SLERP-V3/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "ECE-PRYMMAL-YL-3B-SLERP-V3",
+    "id": "llnYou/ECE-PRYMMAL-YL-3B-SLERP-V3",
+    "developer": "llnYou",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Phi3ForCausalLM",
+      "params_billions": 3.821
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3581
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5473
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1299
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3045
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4361
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4043
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/lmsys/vicuna-13b-v1.3/5b0377fc-5df1-4ed0-bad4-ab13bc42677c.json b/data/hfopenllm_v2/lmsys/vicuna-13b-v1.3/5b0377fc-5df1-4ed0-bad4-ab13bc42677c.json
deleted file mode 100644
index 46c6f7c4a..000000000
--- a/data/hfopenllm_v2/lmsys/vicuna-13b-v1.3/5b0377fc-5df1-4ed0-bad4-ab13bc42677c.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/lmsys_vicuna-13b-v1.3/1762652580.3265438",
-  "retrieved_timestamp": "1762652580.326545",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "lmsys/vicuna-13b-v1.3",
-    "developer": "lmsys",
-    "inference_platform": "unknown",
-    "id": "lmsys/vicuna-13b-v1.3",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 13.0
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3343506340953115
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3384399312777569
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.014350453172205438
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2676174496644295
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3727291666666666
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2243184840425532
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/lmsys/vicuna-13b-v1.3/64ab8b1a-62be-4561-8f0c-e42f1fe37178.json b/data/hfopenllm_v2/lmsys/vicuna-13b-v1.3/64ab8b1a-62be-4561-8f0c-e42f1fe37178.json
new file mode 100644
index 000000000..51fcf6393
--- /dev/null
+++ b/data/hfopenllm_v2/lmsys/vicuna-13b-v1.3/64ab8b1a-62be-4561-8f0c-e42f1fe37178.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/lmsys_vicuna-13b-v1.3/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "vicuna-13b-v1.3",
+    "id": "lmsys/vicuna-13b-v1.3",
+    "developer": "lmsys",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 13.0
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3344
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3384
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0144
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2676
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3727
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2243
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/lmsys/vicuna-7b-v1.3/3eb22885-eb7c-4c85-b79f-cd47ffacd551.json b/data/hfopenllm_v2/lmsys/vicuna-7b-v1.3/3eb22885-eb7c-4c85-b79f-cd47ffacd551.json
new file mode 100644
index 000000000..adbfd12b9
--- /dev/null
+++ b/data/hfopenllm_v2/lmsys/vicuna-7b-v1.3/3eb22885-eb7c-4c85-b79f-cd47ffacd551.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/lmsys_vicuna-7b-v1.3/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "vicuna-7b-v1.3",
+    "id": "lmsys/vicuna-7b-v1.3",
+    "developer": "lmsys",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 7.0
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2909
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3298
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0128
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2424
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3793
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1838
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/lmsys/vicuna-7b-v1.3/b8e50988-f2c5-4508-a5c5-2813d94f7ebd.json b/data/hfopenllm_v2/lmsys/vicuna-7b-v1.3/b8e50988-f2c5-4508-a5c5-2813d94f7ebd.json
deleted file mode 100644
index 137720dac..000000000
--- a/data/hfopenllm_v2/lmsys/vicuna-7b-v1.3/b8e50988-f2c5-4508-a5c5-2813d94f7ebd.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/lmsys_vicuna-7b-v1.3/1762652580.326798",
-  "retrieved_timestamp": "1762652580.3267992",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "lmsys/vicuna-7b-v1.3",
-    "developer": "lmsys",
-    "inference_platform": "unknown",
-    "id": "lmsys/vicuna-7b-v1.3",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 7.0
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.29086158060612505
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3298410006592924
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.01283987915407855
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-}
diff --git a/data/hfopenllm_v2/lmsys/vicuna-7b-v1.5/26c5c07e-8482-44b4-8f11-a602e79fb730.json b/data/hfopenllm_v2/lmsys/vicuna-7b-v1.5/26c5c07e-8482-44b4-8f11-a602e79fb730.json
deleted file mode 100644
index a6b5160bb..000000000
--- a/data/hfopenllm_v2/lmsys/vicuna-7b-v1.5/26c5c07e-8482-44b4-8f11-a602e79fb730.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/lmsys_vicuna-7b-v1.5/1762652580.327009",
-  "retrieved_timestamp": "1762652580.3270102",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "lmsys/vicuna-7b-v1.5",
-    "developer": "lmsys",
-    "inference_platform": "unknown",
-    "id": "lmsys/vicuna-7b-v1.5",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 7.0
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.23515716077784724
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.39470436842233775
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.013595166163141994
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.25838926174496646
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42311458333333335
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.21467752659574468
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/lmsys/vicuna-7b-v1.5/8956d608-c627-469b-943d-bfad6c7382af.json b/data/hfopenllm_v2/lmsys/vicuna-7b-v1.5/8956d608-c627-469b-943d-bfad6c7382af.json
new file mode 100644
index 000000000..54b24d075
--- /dev/null
+++ b/data/hfopenllm_v2/lmsys/vicuna-7b-v1.5/8956d608-c627-469b-943d-bfad6c7382af.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/lmsys_vicuna-7b-v1.5/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "vicuna-7b-v1.5",
+    "id": "lmsys/vicuna-7b-v1.5",
+    "developer": "lmsys",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 7.0
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2352
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3947
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0136
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2584
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4231
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2147
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/lodrick-the-lafted/llama-3.1-8b-instruct-ortho-v7/81d006e2-3be1-4941-bf85-74f1b313c7d7.json b/data/hfopenllm_v2/lodrick-the-lafted/llama-3.1-8b-instruct-ortho-v7/81d006e2-3be1-4941-bf85-74f1b313c7d7.json
deleted file mode 100644
index fccdb803e..000000000
--- a/data/hfopenllm_v2/lodrick-the-lafted/llama-3.1-8b-instruct-ortho-v7/81d006e2-3be1-4941-bf85-74f1b313c7d7.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/lodrick-the-lafted_llama-3.1-8b-instruct-ortho-v7/1762652580.327225",
-  "retrieved_timestamp": "1762652580.3272262",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "lodrick-the-lafted/llama-3.1-8b-instruct-ortho-v7",
-    "developer": "lodrick-the-lafted",
-    "inference_platform": "unknown",
-    "id": "lodrick-the-lafted/llama-3.1-8b-instruct-ortho-v7",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3514618988727687
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.39069140261362917
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.027190332326283987
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2726510067114094
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.36159375
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1973902925531915
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/lodrick-the-lafted/llama-3.1-8b-instruct-ortho-v7/9ff060c8-d4fa-4880-a0cd-9581f5c2f574.json b/data/hfopenllm_v2/lodrick-the-lafted/llama-3.1-8b-instruct-ortho-v7/9ff060c8-d4fa-4880-a0cd-9581f5c2f574.json
new file mode 100644
index 000000000..2ad864b95
--- /dev/null
+++ b/data/hfopenllm_v2/lodrick-the-lafted/llama-3.1-8b-instruct-ortho-v7/9ff060c8-d4fa-4880-a0cd-9581f5c2f574.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/lodrick-the-lafted_llama-3.1-8b-instruct-ortho-v7/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "llama-3.1-8b-instruct-ortho-v7",
+    "id": "lodrick-the-lafted/llama-3.1-8b-instruct-ortho-v7",
+    "developer": "lodrick-the-lafted",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3515
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3907
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0272
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2727
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3616
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1974
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/lordjia/Llama-3-Cantonese-8B-Instruct/e3d6b3d7-a231-40c1-bac9-0b7fcb478bca.json b/data/hfopenllm_v2/lordjia/Llama-3-Cantonese-8B-Instruct/e3d6b3d7-a231-40c1-bac9-0b7fcb478bca.json
new file mode 100644
index 000000000..eef3e165a
--- /dev/null
+++ b/data/hfopenllm_v2/lordjia/Llama-3-Cantonese-8B-Instruct/e3d6b3d7-a231-40c1-bac9-0b7fcb478bca.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/lordjia_Llama-3-Cantonese-8B-Instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-3-Cantonese-8B-Instruct",
+    "id": "lordjia/Llama-3-Cantonese-8B-Instruct",
+    "developer": "lordjia",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6669
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4814
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0891
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2936
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4046
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3515
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/lordjia/Llama-3-Cantonese-8B-Instruct/f453cb41-346c-48b4-a660-64f13ec69fe4.json b/data/hfopenllm_v2/lordjia/Llama-3-Cantonese-8B-Instruct/f453cb41-346c-48b4-a660-64f13ec69fe4.json
deleted file mode 100644
index 80ebe35d7..000000000
--- a/data/hfopenllm_v2/lordjia/Llama-3-Cantonese-8B-Instruct/f453cb41-346c-48b4-a660-64f13ec69fe4.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/lordjia_Llama-3-Cantonese-8B-Instruct/1762652580.3274932",
-  "retrieved_timestamp": "1762652580.3274932",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "lordjia/Llama-3-Cantonese-8B-Instruct",
-    "developer": "lordjia",
-    "inference_platform": "unknown",
-    "id": "lordjia/Llama-3-Cantonese-8B-Instruct",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6669259786256023
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4814148018954038
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.0891238670694864
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2936241610738255
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.40460416666666665
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.35147938829787234
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/lordjia/Qwen2-Cantonese-7B-Instruct/20acb302-3a74-4425-af4c-a1d719b90a88.json b/data/hfopenllm_v2/lordjia/Qwen2-Cantonese-7B-Instruct/20acb302-3a74-4425-af4c-a1d719b90a88.json
new file mode 100644
index 000000000..95ef13bda
--- /dev/null
+++ b/data/hfopenllm_v2/lordjia/Qwen2-Cantonese-7B-Instruct/20acb302-3a74-4425-af4c-a1d719b90a88.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/lordjia_Qwen2-Cantonese-7B-Instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2-Cantonese-7B-Instruct",
+    "id": "lordjia/Qwen2-Cantonese-7B-Instruct",
+    "developer": "lordjia",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5435
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5215
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.256
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2953
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4004
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3843
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/lordjia/Qwen2-Cantonese-7B-Instruct/869339ec-939c-4222-b178-533c3ca5b0d1.json b/data/hfopenllm_v2/lordjia/Qwen2-Cantonese-7B-Instruct/869339ec-939c-4222-b178-533c3ca5b0d1.json
deleted file mode 100644
index 662dceb8e..000000000
--- a/data/hfopenllm_v2/lordjia/Qwen2-Cantonese-7B-Instruct/869339ec-939c-4222-b178-533c3ca5b0d1.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/lordjia_Qwen2-Cantonese-7B-Instruct/1762652580.3277462",
-  "retrieved_timestamp": "1762652580.3277462",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "lordjia/Qwen2-Cantonese-7B-Instruct",
-    "developer": "lordjia",
-    "inference_platform": "unknown",
-    "id": "lordjia/Qwen2-Cantonese-7B-Instruct",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.616
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5435278394659503
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5215311346221223
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.25604229607250756
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2953020134228188
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.40038541666666666
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.38430851063829785
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/lt-asset/nova-1.3b/4c3005e9-fffd-491b-8ce1-58204986b787.json b/data/hfopenllm_v2/lt-asset/nova-1.3b/4c3005e9-fffd-491b-8ce1-58204986b787.json
deleted file mode 100644
index 1beeb6bd2..000000000
--- a/data/hfopenllm_v2/lt-asset/nova-1.3b/4c3005e9-fffd-491b-8ce1-58204986b787.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/lt-asset_nova-1.3b/1762652580.3279538",
-  "retrieved_timestamp": "1762652580.327955",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "lt-asset/nova-1.3b",
-    "developer": "lt-asset",
-    "inference_platform": "unknown",
-    "id": "lt-asset/nova-1.3b",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "NovaForCausalLM",
-      "params_billions": 1.347
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1214255951985177
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.31700122104895806
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.012084592145015106
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.24916107382550334
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.36978125
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11419547872340426
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/lt-asset/nova-1.3b/a8613588-687d-4291-ae5a-57688501cffd.json b/data/hfopenllm_v2/lt-asset/nova-1.3b/a8613588-687d-4291-ae5a-57688501cffd.json
new file mode 100644
index 000000000..80085f690
--- /dev/null
+++ b/data/hfopenllm_v2/lt-asset/nova-1.3b/a8613588-687d-4291-ae5a-57688501cffd.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/lt-asset_nova-1.3b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "nova-1.3b",
+    "id": "lt-asset/nova-1.3b",
+    "developer": "lt-asset",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "NovaForCausalLM",
+      "params_billions": 1.347
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1214
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.317
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0121
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2492
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3698
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1142
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/lunahr/thea-3b-50r-u1/83dd67cb-5508-4aa5-9435-d5585b7f3d52.json b/data/hfopenllm_v2/lunahr/thea-3b-50r-u1/83dd67cb-5508-4aa5-9435-d5585b7f3d52.json
new file mode 100644
index 000000000..00e74d58e
--- /dev/null
+++ b/data/hfopenllm_v2/lunahr/thea-3b-50r-u1/83dd67cb-5508-4aa5-9435-d5585b7f3d52.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/lunahr_thea-3b-50r-u1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
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+        "hf_repo": "TAUR-Lab/MuSR"
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+        "hf_repo": "TIGER-Lab/MMLU-Pro"
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/lunahr/thea-3b-50r-u1/977449d7-d8f0-4e32-b56c-8950006a09a4.json b/data/hfopenllm_v2/lunahr/thea-3b-50r-u1/977449d7-d8f0-4e32-b56c-8950006a09a4.json
deleted file mode 100644
index 1435f4218..000000000
--- a/data/hfopenllm_v2/lunahr/thea-3b-50r-u1/977449d7-d8f0-4e32-b56c-8950006a09a4.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-    "id": "lunahr/thea-3b-50r-u1",
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diff --git a/data/hfopenllm_v2/lunahr/thea-v2-3b-50r/03d675d8-ee8d-47de-8bf3-ef386bd8a88f.json b/data/hfopenllm_v2/lunahr/thea-v2-3b-50r/03d675d8-ee8d-47de-8bf3-ef386bd8a88f.json
deleted file mode 100644
index dc4346f8b..000000000
--- a/data/hfopenllm_v2/lunahr/thea-v2-3b-50r/03d675d8-ee8d-47de-8bf3-ef386bd8a88f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/lunahr/thea-v2-3b-50r/26d981bb-f2e5-4195-8d6f-594bb0b26f4a.json b/data/hfopenllm_v2/lunahr/thea-v2-3b-50r/26d981bb-f2e5-4195-8d6f-594bb0b26f4a.json
new file mode 100644
index 000000000..bc6aaf04b
--- /dev/null
+++ b/data/hfopenllm_v2/lunahr/thea-v2-3b-50r/26d981bb-f2e5-4195-8d6f-594bb0b26f4a.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/lunahr_thea-v2-3b-50r/1770682486.623709",
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+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
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+    "name": "thea-v2-3b-50r",
+    "id": "lunahr/thea-v2-3b-50r",
+    "developer": "lunahr",
+    "inference_platform": "unknown",
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+      "params_billions": 3.213
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
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+        "evaluation_description": "Accuracy on BBH",
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+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
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+        "evaluation_description": "Accuracy on MUSR",
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+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
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+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2409
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/m42-health/Llama3-Med42-70B/df06c977-b54c-4668-837f-eb583ef24d29.json b/data/hfopenllm_v2/m42-health/Llama3-Med42-70B/df06c977-b54c-4668-837f-eb583ef24d29.json
new file mode 100644
index 000000000..8b02603c5
--- /dev/null
+++ b/data/hfopenllm_v2/m42-health/Llama3-Med42-70B/df06c977-b54c-4668-837f-eb583ef24d29.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/m42-health_Llama3-Med42-70B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama3-Med42-70B",
+    "id": "m42-health/Llama3-Med42-70B",
+    "developer": "m42-health",
+    "inference_platform": "unknown",
+    "additional_details": {
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+      "architecture": "LlamaForCausalLM",
+      "params_billions": 70.554
+    }
+  },
+  "evaluation_results": [
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+    },
+    {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
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+        "hf_repo": "Idavidrein/gpqa"
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+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "max_score": 1.0
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+    },
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "max_score": 1.0
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+      "score_details": {
+        "score": 0.4963
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/macadeliccc/Samantha-Qwen-2-7B/31a8ac03-f58b-46e3-9f17-53311b1fd506.json b/data/hfopenllm_v2/macadeliccc/Samantha-Qwen-2-7B/31a8ac03-f58b-46e3-9f17-53311b1fd506.json
new file mode 100644
index 000000000..c21abe404
--- /dev/null
+++ b/data/hfopenllm_v2/macadeliccc/Samantha-Qwen-2-7B/31a8ac03-f58b-46e3-9f17-53311b1fd506.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/macadeliccc_Samantha-Qwen-2-7B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Samantha-Qwen-2-7B",
+    "id": "macadeliccc/Samantha-Qwen-2-7B",
+    "developer": "macadeliccc",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4377
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5082
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2115
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2727
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4799
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3779
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/macadeliccc/magistrate-3.2-3b-base/3e4a7141-7a82-421a-a107-bbac3cbafc9b.json b/data/hfopenllm_v2/macadeliccc/magistrate-3.2-3b-base/3e4a7141-7a82-421a-a107-bbac3cbafc9b.json
new file mode 100644
index 000000000..552af16da
--- /dev/null
+++ b/data/hfopenllm_v2/macadeliccc/magistrate-3.2-3b-base/3e4a7141-7a82-421a-a107-bbac3cbafc9b.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/macadeliccc_magistrate-3.2-3b-base/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "magistrate-3.2-3b-base",
+    "id": "macadeliccc/magistrate-3.2-3b-base",
+    "developer": "macadeliccc",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 3.213
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1159
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3343
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0113
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2609
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3976
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1689
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/macadeliccc/magistrate-3.2-3b-base/e0f596ba-89ee-4fa7-b5dc-698c2a5fda95.json b/data/hfopenllm_v2/macadeliccc/magistrate-3.2-3b-base/e0f596ba-89ee-4fa7-b5dc-698c2a5fda95.json
deleted file mode 100644
index 0ee69042e..000000000
--- a/data/hfopenllm_v2/macadeliccc/magistrate-3.2-3b-base/e0f596ba-89ee-4fa7-b5dc-698c2a5fda95.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/macadeliccc_magistrate-3.2-3b-base/1762652580.32929",
-  "retrieved_timestamp": "1762652580.329291",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "macadeliccc/magistrate-3.2-3b-base",
-    "developer": "macadeliccc",
-    "inference_platform": "unknown",
-    "id": "macadeliccc/magistrate-3.2-3b-base",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 3.213
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1159301763764589
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3342701056047533
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.011329305135951661
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2609060402684564
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.39759374999999997
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.16888297872340424
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/macadeliccc/magistrate-3.2-3b-it/9a3069f2-81ed-484a-b6e6-a45a259e9a43.json b/data/hfopenllm_v2/macadeliccc/magistrate-3.2-3b-it/9a3069f2-81ed-484a-b6e6-a45a259e9a43.json
new file mode 100644
index 000000000..55e0d15e4
--- /dev/null
+++ b/data/hfopenllm_v2/macadeliccc/magistrate-3.2-3b-it/9a3069f2-81ed-484a-b6e6-a45a259e9a43.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/macadeliccc_magistrate-3.2-3b-it/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "magistrate-3.2-3b-it",
+    "id": "macadeliccc/magistrate-3.2-3b-it",
+    "developer": "macadeliccc",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 3.213
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2292
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3257
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0196
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2475
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3763
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1592
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/macadeliccc/magistrate-3.2-3b-it/df26db97-8e5e-409e-937d-45951c81a8cd.json b/data/hfopenllm_v2/macadeliccc/magistrate-3.2-3b-it/df26db97-8e5e-409e-937d-45951c81a8cd.json
deleted file mode 100644
index 4e6d4ed8a..000000000
--- a/data/hfopenllm_v2/macadeliccc/magistrate-3.2-3b-it/df26db97-8e5e-409e-937d-45951c81a8cd.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/macadeliccc_magistrate-3.2-3b-it/1762652580.329552",
-  "retrieved_timestamp": "1762652580.329552",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "macadeliccc/magistrate-3.2-3b-it",
-    "developer": "macadeliccc",
-    "inference_platform": "unknown",
-    "id": "macadeliccc/magistrate-3.2-3b-it",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 3.213
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.22918744486850445
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3256506790327196
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.019637462235649546
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.24748322147651006
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3763229166666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.15924202127659576
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/magnifi/Phi3_intent_v56_3_w_unknown_5_lr_0.002/c0a3d0c3-c541-4606-a925-4100b062284f.json b/data/hfopenllm_v2/magnifi/Phi3_intent_v56_3_w_unknown_5_lr_0.002/c0a3d0c3-c541-4606-a925-4100b062284f.json
new file mode 100644
index 000000000..0f570e9e4
--- /dev/null
+++ b/data/hfopenllm_v2/magnifi/Phi3_intent_v56_3_w_unknown_5_lr_0.002/c0a3d0c3-c541-4606-a925-4100b062284f.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/magnifi_Phi3_intent_v56_3_w_unknown_5_lr_0.002/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Phi3_intent_v56_3_w_unknown_5_lr_0.002",
+    "id": "magnifi/Phi3_intent_v56_3_w_unknown_5_lr_0.002",
+    "developer": "magnifi",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 3.821
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+      "score_details": {
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+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4123
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/maldv/Awqward2.5-32B-Instruct/20685a4b-686f-4cd4-b49d-3067a005256d.json b/data/hfopenllm_v2/maldv/Awqward2.5-32B-Instruct/20685a4b-686f-4cd4-b49d-3067a005256d.json
new file mode 100644
index 000000000..3a60298fd
--- /dev/null
+++ b/data/hfopenllm_v2/maldv/Awqward2.5-32B-Instruct/20685a4b-686f-4cd4-b49d-3067a005256d.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/maldv_Awqward2.5-32B-Instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Awqward2.5-32B-Instruct",
+    "id": "maldv/Awqward2.5-32B-Instruct",
+    "developer": "maldv",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 32.764
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.8255
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6974
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+      }
+    },
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
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+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
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+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5723
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/maldv/Awqward2.5-32B-Instruct/8b330a87-7689-45ae-a005-0349e09f07ac.json b/data/hfopenllm_v2/maldv/Awqward2.5-32B-Instruct/8b330a87-7689-45ae-a005-0349e09f07ac.json
deleted file mode 100644
index 651ee10a8..000000000
--- a/data/hfopenllm_v2/maldv/Awqward2.5-32B-Instruct/8b330a87-7689-45ae-a005-0349e09f07ac.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/maldv_Awqward2.5-32B-Instruct/1762652580.3302772",
-  "retrieved_timestamp": "1762652580.330278",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
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-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "maldv/Awqward2.5-32B-Instruct",
-    "developer": "maldv",
-    "inference_platform": "unknown",
-    "id": "maldv/Awqward2.5-32B-Instruct",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 32.764
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    {
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-        "lower_is_better": false,
-        "score_type": "continuous",
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-        "max_score": 1
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-      "score_details": {
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-    },
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-      "evaluation_name": "MATH Level 5",
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-        "lower_is_better": false,
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-        "min_score": 0,
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-        "lower_is_better": false,
-        "score_type": "continuous",
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-      "score_details": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5723071808510638
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-    }
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-}
diff --git a/data/hfopenllm_v2/maldv/Lytta2.5-32B-Instruct/27575e22-2e66-4177-aa8f-ab4ebd4743ea.json b/data/hfopenllm_v2/maldv/Lytta2.5-32B-Instruct/27575e22-2e66-4177-aa8f-ab4ebd4743ea.json
deleted file mode 100644
index c6f2fa72c..000000000
--- a/data/hfopenllm_v2/maldv/Lytta2.5-32B-Instruct/27575e22-2e66-4177-aa8f-ab4ebd4743ea.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/maldv_Lytta2.5-32B-Instruct/1762652580.3306072",
-  "retrieved_timestamp": "1762652580.3306088",
-  "source_data": [
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-  ],
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-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "maldv/Lytta2.5-32B-Instruct",
-    "developer": "maldv",
-    "inference_platform": "unknown",
-    "id": "maldv/Lytta2.5-32B-Instruct",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 32.764
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
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-    },
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37685416666666666
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/maldv/Lytta2.5-32B-Instruct/85a91293-cd51-4f79-8b98-2f4bc67d78c1.json b/data/hfopenllm_v2/maldv/Lytta2.5-32B-Instruct/85a91293-cd51-4f79-8b98-2f4bc67d78c1.json
new file mode 100644
index 000000000..4697190aa
--- /dev/null
+++ b/data/hfopenllm_v2/maldv/Lytta2.5-32B-Instruct/85a91293-cd51-4f79-8b98-2f4bc67d78c1.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/maldv_Lytta2.5-32B-Instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Lytta2.5-32B-Instruct",
+    "id": "maldv/Lytta2.5-32B-Instruct",
+    "developer": "maldv",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 32.764
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2508
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+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.56
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3444
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2668
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3769
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5048
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/maldv/Qwentile2.5-32B-Instruct/d2e3a6c2-4e67-4150-b9a8-fec979fb1658.json b/data/hfopenllm_v2/maldv/Qwentile2.5-32B-Instruct/d2e3a6c2-4e67-4150-b9a8-fec979fb1658.json
new file mode 100644
index 000000000..345ca800e
--- /dev/null
+++ b/data/hfopenllm_v2/maldv/Qwentile2.5-32B-Instruct/d2e3a6c2-4e67-4150-b9a8-fec979fb1658.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/maldv_Qwentile2.5-32B-Instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwentile2.5-32B-Instruct",
+    "id": "maldv/Qwentile2.5-32B-Instruct",
+    "developer": "maldv",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 32.764
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7393
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+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6963
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5219
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3842
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5879
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/maldv/Qwentile2.5-32B-Instruct/f4fde074-8a05-42ec-884c-447b4bfaba39.json b/data/hfopenllm_v2/maldv/Qwentile2.5-32B-Instruct/f4fde074-8a05-42ec-884c-447b4bfaba39.json
deleted file mode 100644
index 2b9d88fa8..000000000
--- a/data/hfopenllm_v2/maldv/Qwentile2.5-32B-Instruct/f4fde074-8a05-42ec-884c-447b4bfaba39.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/maldv_Qwentile2.5-32B-Instruct/1762652580.3309162",
-  "retrieved_timestamp": "1762652580.3309171",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "maldv/Qwentile2.5-32B-Instruct",
-    "developer": "maldv",
-    "inference_platform": "unknown",
-    "id": "maldv/Qwentile2.5-32B-Instruct",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 32.764
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7393161256576994
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-    },
-    {
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-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.38422818791946306
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4682291666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5879321808510638
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/maldv/badger-kappa-llama-3-8b/c4d686f2-2af1-4271-9556-09380f07ba5f.json b/data/hfopenllm_v2/maldv/badger-kappa-llama-3-8b/c4d686f2-2af1-4271-9556-09380f07ba5f.json
new file mode 100644
index 000000000..65f56c77f
--- /dev/null
+++ b/data/hfopenllm_v2/maldv/badger-kappa-llama-3-8b/c4d686f2-2af1-4271-9556-09380f07ba5f.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/maldv_badger-kappa-llama-3-8b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "badger-kappa-llama-3-8b",
+    "id": "maldv/badger-kappa-llama-3-8b",
+    "developer": "maldv",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4695
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5085
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0861
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3029
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3765
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3695
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/maldv/badger-lambda-llama-3-8b/93167303-b38e-43f0-a552-72c26ccb4339.json b/data/hfopenllm_v2/maldv/badger-lambda-llama-3-8b/93167303-b38e-43f0-a552-72c26ccb4339.json
new file mode 100644
index 000000000..84491b944
--- /dev/null
+++ b/data/hfopenllm_v2/maldv/badger-lambda-llama-3-8b/93167303-b38e-43f0-a552-72c26ccb4339.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/maldv_badger-lambda-llama-3-8b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "badger-lambda-llama-3-8b",
+    "id": "maldv/badger-lambda-llama-3-8b",
+    "developer": "maldv",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4861
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4963
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0944
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2819
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3754
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3767
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/maldv/badger-mu-llama-3-8b/b52a176f-f369-4791-a7e3-88a72709c868.json b/data/hfopenllm_v2/maldv/badger-mu-llama-3-8b/b52a176f-f369-4791-a7e3-88a72709c868.json
new file mode 100644
index 000000000..006838490
--- /dev/null
+++ b/data/hfopenllm_v2/maldv/badger-mu-llama-3-8b/b52a176f-f369-4791-a7e3-88a72709c868.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/maldv_badger-mu-llama-3-8b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "badger-mu-llama-3-8b",
+    "id": "maldv/badger-mu-llama-3-8b",
+    "developer": "maldv",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4919
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5143
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0559
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2592
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3555
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3674
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/maldv/badger-writer-llama-3-8b/b6310012-17f1-4ee0-abd0-0079a9299350.json b/data/hfopenllm_v2/maldv/badger-writer-llama-3-8b/b6310012-17f1-4ee0-abd0-0079a9299350.json
new file mode 100644
index 000000000..08b482ae6
--- /dev/null
+++ b/data/hfopenllm_v2/maldv/badger-writer-llama-3-8b/b6310012-17f1-4ee0-abd0-0079a9299350.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/maldv_badger-writer-llama-3-8b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "badger-writer-llama-3-8b",
+    "id": "maldv/badger-writer-llama-3-8b",
+    "developer": "maldv",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5303
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4864
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0755
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2894
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3581
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.376
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/marcuscedricridia/Cheng-1/7aa1c718-9ac6-426b-be50-5c7f37849b90.json b/data/hfopenllm_v2/marcuscedricridia/Cheng-1/7aa1c718-9ac6-426b-be50-5c7f37849b90.json
deleted file mode 100644
index cf24bfab7..000000000
--- a/data/hfopenllm_v2/marcuscedricridia/Cheng-1/7aa1c718-9ac6-426b-be50-5c7f37849b90.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/marcuscedricridia_Cheng-1/1762652580.332221",
-  "retrieved_timestamp": "1762652580.332222",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "marcuscedricridia/Cheng-1",
-    "developer": "marcuscedricridia",
-    "inference_platform": "unknown",
-    "id": "marcuscedricridia/Cheng-1",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.613
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-    {
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-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.48942598187311176
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2961409395973154
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4073333333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.43492353723404253
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/marcuscedricridia/Cheng-1/f581e832-0f77-496e-bcd3-6cfec51ef594.json b/data/hfopenllm_v2/marcuscedricridia/Cheng-1/f581e832-0f77-496e-bcd3-6cfec51ef594.json
new file mode 100644
index 000000000..db31c8ed3
--- /dev/null
+++ b/data/hfopenllm_v2/marcuscedricridia/Cheng-1/f581e832-0f77-496e-bcd3-6cfec51ef594.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/marcuscedricridia_Cheng-1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Cheng-1",
+    "id": "marcuscedricridia/Cheng-1",
+    "developer": "marcuscedricridia",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.613
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7789
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5525
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4894
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2961
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4073
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4349
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/marcuscedricridia/Cheng-2-v1.1/47b47c89-b13b-4099-98b2-854feae05f63.json b/data/hfopenllm_v2/marcuscedricridia/Cheng-2-v1.1/47b47c89-b13b-4099-98b2-854feae05f63.json
new file mode 100644
index 000000000..a97a44973
--- /dev/null
+++ b/data/hfopenllm_v2/marcuscedricridia/Cheng-2-v1.1/47b47c89-b13b-4099-98b2-854feae05f63.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/marcuscedricridia_Cheng-2-v1.1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Cheng-2-v1.1",
+    "id": "marcuscedricridia/Cheng-2-v1.1",
+    "developer": "marcuscedricridia",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.766
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.827
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.651
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5393
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3431
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4167
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5076
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/marcuscedricridia/Cheng-2-v1.1/a720e9bc-e8dd-4b7a-8d22-7b9f4b42ebe0.json b/data/hfopenllm_v2/marcuscedricridia/Cheng-2-v1.1/a720e9bc-e8dd-4b7a-8d22-7b9f4b42ebe0.json
deleted file mode 100644
index fa087c3bc..000000000
--- a/data/hfopenllm_v2/marcuscedricridia/Cheng-2-v1.1/a720e9bc-e8dd-4b7a-8d22-7b9f4b42ebe0.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/marcuscedricridia_Cheng-2-v1.1/1762652580.332704",
-  "retrieved_timestamp": "1762652580.332705",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "marcuscedricridia/Cheng-2-v1.1",
-    "developer": "marcuscedricridia",
-    "inference_platform": "unknown",
-    "id": "marcuscedricridia/Cheng-2-v1.1",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 14.766
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.8269934883885868
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6510142192324059
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5392749244712991
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.34312080536912754
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41672916666666665
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5076462765957447
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/marcuscedricridia/Cheng-2/8d51ae58-7b20-4fa4-b234-2abb9cdeaad4.json b/data/hfopenllm_v2/marcuscedricridia/Cheng-2/8d51ae58-7b20-4fa4-b234-2abb9cdeaad4.json
new file mode 100644
index 000000000..d2b1be907
--- /dev/null
+++ b/data/hfopenllm_v2/marcuscedricridia/Cheng-2/8d51ae58-7b20-4fa4-b234-2abb9cdeaad4.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/marcuscedricridia_Cheng-2/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Cheng-2",
+    "id": "marcuscedricridia/Cheng-2",
+    "developer": "marcuscedricridia",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.766
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.8337
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6499
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5438
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3456
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4193
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5013
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/marcuscedricridia/Cheng-2/dbadece3-665b-423b-b2d9-e74d7c676133.json b/data/hfopenllm_v2/marcuscedricridia/Cheng-2/dbadece3-665b-423b-b2d9-e74d7c676133.json
deleted file mode 100644
index d9f1516e6..000000000
--- a/data/hfopenllm_v2/marcuscedricridia/Cheng-2/dbadece3-665b-423b-b2d9-e74d7c676133.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/marcuscedricridia_Cheng-2/1762652580.332486",
-  "retrieved_timestamp": "1762652580.3324869",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "marcuscedricridia/Cheng-2",
-    "developer": "marcuscedricridia",
-    "inference_platform": "unknown",
-    "id": "marcuscedricridia/Cheng-2",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 14.766
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.8337378156624423
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
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-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
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-        "score": 0.5438066465256798
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.34563758389261745
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41933333333333334
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5013297872340425
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/marcuscedricridia/Hush-Qwen2.5-7B-MST-v1.1/4d4d5679-8ec6-49b8-a5d7-2a76497b44b7.json b/data/hfopenllm_v2/marcuscedricridia/Hush-Qwen2.5-7B-MST-v1.1/4d4d5679-8ec6-49b8-a5d7-2a76497b44b7.json
new file mode 100644
index 000000000..2a3ec93a3
--- /dev/null
+++ b/data/hfopenllm_v2/marcuscedricridia/Hush-Qwen2.5-7B-MST-v1.1/4d4d5679-8ec6-49b8-a5d7-2a76497b44b7.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/marcuscedricridia_Hush-Qwen2.5-7B-MST-v1.1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Hush-Qwen2.5-7B-MST-v1.1",
+    "id": "marcuscedricridia/Hush-Qwen2.5-7B-MST-v1.1",
+    "developer": "marcuscedricridia",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.613
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7445
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5559
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4653
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3062
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4073
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4299
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/marcuscedricridia/Hush-Qwen2.5-7B-MST-v1.3/0bdb6574-69e2-4858-b7aa-a90a5fadf741.json b/data/hfopenllm_v2/marcuscedricridia/Hush-Qwen2.5-7B-MST-v1.3/0bdb6574-69e2-4858-b7aa-a90a5fadf741.json
new file mode 100644
index 000000000..5208a426c
--- /dev/null
+++ b/data/hfopenllm_v2/marcuscedricridia/Hush-Qwen2.5-7B-MST-v1.3/0bdb6574-69e2-4858-b7aa-a90a5fadf741.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/marcuscedricridia_Hush-Qwen2.5-7B-MST-v1.3/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Hush-Qwen2.5-7B-MST-v1.3",
+    "id": "marcuscedricridia/Hush-Qwen2.5-7B-MST-v1.3",
+    "developer": "marcuscedricridia",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.613
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7043
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5516
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4758
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3146
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4311
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.444
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/marcuscedricridia/Hush-Qwen2.5-7B-MST/fa1a92bb-ad25-4be2-a35f-7fdebbeeeba8.json b/data/hfopenllm_v2/marcuscedricridia/Hush-Qwen2.5-7B-MST/fa1a92bb-ad25-4be2-a35f-7fdebbeeeba8.json
new file mode 100644
index 000000000..637b7439c
--- /dev/null
+++ b/data/hfopenllm_v2/marcuscedricridia/Hush-Qwen2.5-7B-MST/fa1a92bb-ad25-4be2-a35f-7fdebbeeeba8.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/marcuscedricridia_Hush-Qwen2.5-7B-MST/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Hush-Qwen2.5-7B-MST",
+    "id": "marcuscedricridia/Hush-Qwen2.5-7B-MST",
+    "developer": "marcuscedricridia",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.613
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7488
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5458
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4245
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3037
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3914
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4163
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/marcuscedricridia/Hush-Qwen2.5-7B-Preview/d62ea0a1-cc9d-41b7-8d60-479b8e2262b5.json b/data/hfopenllm_v2/marcuscedricridia/Hush-Qwen2.5-7B-Preview/d62ea0a1-cc9d-41b7-8d60-479b8e2262b5.json
new file mode 100644
index 000000000..af57fa32c
--- /dev/null
+++ b/data/hfopenllm_v2/marcuscedricridia/Hush-Qwen2.5-7B-Preview/d62ea0a1-cc9d-41b7-8d60-479b8e2262b5.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/marcuscedricridia_Hush-Qwen2.5-7B-Preview/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Hush-Qwen2.5-7B-Preview",
+    "id": "marcuscedricridia/Hush-Qwen2.5-7B-Preview",
+    "developer": "marcuscedricridia",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.613
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/marcuscedricridia/Hush-Qwen2.5-7B-RP-v1.4-1M/912446e3-efdf-4ed0-80bd-261c6c87a3d0.json b/data/hfopenllm_v2/marcuscedricridia/Hush-Qwen2.5-7B-RP-v1.4-1M/912446e3-efdf-4ed0-80bd-261c6c87a3d0.json
new file mode 100644
index 000000000..50261cfbe
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/marcuscedricridia/Hush-Qwen2.5-7B-v1.1/5e86dc31-ae3e-4ef7-858e-41e29b3a8031.json b/data/hfopenllm_v2/marcuscedricridia/Hush-Qwen2.5-7B-v1.1/5e86dc31-ae3e-4ef7-858e-41e29b3a8031.json
new file mode 100644
index 000000000..91ec9fbad
--- /dev/null
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/marcuscedricridia/Hush-Qwen2.5-7B-v1.2/80680e5e-ab83-4a59-aeec-9d4166509c47.json b/data/hfopenllm_v2/marcuscedricridia/Hush-Qwen2.5-7B-v1.2/80680e5e-ab83-4a59-aeec-9d4166509c47.json
new file mode 100644
index 000000000..db41151dd
--- /dev/null
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/marcuscedricridia/Hush-Qwen2.5-7B-v1.3/c5bc9c92-8469-4174-aafd-67bb61aaccf2.json b/data/hfopenllm_v2/marcuscedricridia/Hush-Qwen2.5-7B-v1.3/c5bc9c92-8469-4174-aafd-67bb61aaccf2.json
new file mode 100644
index 000000000..b018cf076
--- /dev/null
+++ b/data/hfopenllm_v2/marcuscedricridia/Hush-Qwen2.5-7B-v1.3/c5bc9c92-8469-4174-aafd-67bb61aaccf2.json
@@ -0,0 +1,132 @@
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/marcuscedricridia/Hush-Qwen2.5-7B-v1.4/1d67b792-178b-4baa-a108-2362f658bd4e.json b/data/hfopenllm_v2/marcuscedricridia/Hush-Qwen2.5-7B-v1.4/1d67b792-178b-4baa-a108-2362f658bd4e.json
new file mode 100644
index 000000000..142cdd945
--- /dev/null
+++ b/data/hfopenllm_v2/marcuscedricridia/Hush-Qwen2.5-7B-v1.4/1d67b792-178b-4baa-a108-2362f658bd4e.json
@@ -0,0 +1,132 @@
+{
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+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Hush-Qwen2.5-7B-v1.4",
+    "id": "marcuscedricridia/Hush-Qwen2.5-7B-v1.4",
+    "developer": "marcuscedricridia",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
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+    }
+  },
+  "evaluation_results": [
+    {
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+        "min_score": 0.0,
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
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+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
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+        "hf_repo": "Idavidrein/gpqa"
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+        "min_score": 0.0,
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+        "hf_repo": "TIGER-Lab/MMLU-Pro"
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+        "evaluation_description": "Accuracy on MMLU-PRO",
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+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4195
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/marcuscedricridia/Qwen2.5-7B-Preview/eb0c87b0-4795-4029-82c1-57ce37ba8259.json b/data/hfopenllm_v2/marcuscedricridia/Qwen2.5-7B-Preview/eb0c87b0-4795-4029-82c1-57ce37ba8259.json
new file mode 100644
index 000000000..9e2e24bb9
--- /dev/null
+++ b/data/hfopenllm_v2/marcuscedricridia/Qwen2.5-7B-Preview/eb0c87b0-4795-4029-82c1-57ce37ba8259.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/marcuscedricridia_Qwen2.5-7B-Preview/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
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+  "model_info": {
+    "name": "Qwen2.5-7B-Preview",
+    "id": "marcuscedricridia/Qwen2.5-7B-Preview",
+    "developer": "marcuscedricridia",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.613
+    }
+  },
+  "evaluation_results": [
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
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+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.536
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "max_score": 1.0
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+      },
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+      },
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/marcuscedricridia/Yell-Qwen2.5-7B-Preview-v1.1/dc9b2300-7ab0-4e92-9d23-15fe9ca52994.json b/data/hfopenllm_v2/marcuscedricridia/Yell-Qwen2.5-7B-Preview-v1.1/dc9b2300-7ab0-4e92-9d23-15fe9ca52994.json
new file mode 100644
index 000000000..f754c4b96
--- /dev/null
+++ b/data/hfopenllm_v2/marcuscedricridia/Yell-Qwen2.5-7B-Preview-v1.1/dc9b2300-7ab0-4e92-9d23-15fe9ca52994.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/marcuscedricridia_Yell-Qwen2.5-7B-Preview-v1.1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Yell-Qwen2.5-7B-Preview-v1.1",
+    "id": "marcuscedricridia/Yell-Qwen2.5-7B-Preview-v1.1",
+    "developer": "marcuscedricridia",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.613
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5757
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5348
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+      }
+    },
+    {
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+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
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+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
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+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/marcuscedricridia/Yell-Qwen2.5-7B-Preview/e005624d-c822-4be1-9477-873642aae228.json b/data/hfopenllm_v2/marcuscedricridia/Yell-Qwen2.5-7B-Preview/e005624d-c822-4be1-9477-873642aae228.json
new file mode 100644
index 000000000..0967ce44f
--- /dev/null
+++ b/data/hfopenllm_v2/marcuscedricridia/Yell-Qwen2.5-7B-Preview/e005624d-c822-4be1-9477-873642aae228.json
@@ -0,0 +1,132 @@
+{
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+  "evaluation_id": "hfopenllm_v2/marcuscedricridia_Yell-Qwen2.5-7B-Preview/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Yell-Qwen2.5-7B-Preview",
+    "id": "marcuscedricridia/Yell-Qwen2.5-7B-Preview",
+    "developer": "marcuscedricridia",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.613
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5371
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+        "score": 0.1926
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.281
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3798
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/marcuscedricridia/absolute-o1-7b/4e9eef3d-b851-41de-a3b2-88950f1d426f.json b/data/hfopenllm_v2/marcuscedricridia/absolute-o1-7b/4e9eef3d-b851-41de-a3b2-88950f1d426f.json
deleted file mode 100644
index 1d67ab32a..000000000
--- a/data/hfopenllm_v2/marcuscedricridia/absolute-o1-7b/4e9eef3d-b851-41de-a3b2-88950f1d426f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/marcuscedricridia_absolute-o1-7b/1762652580.335638",
-  "retrieved_timestamp": "1762652580.335639",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "marcuscedricridia/absolute-o1-7b",
-    "developer": "marcuscedricridia",
-    "inference_platform": "unknown",
-    "id": "marcuscedricridia/absolute-o1-7b",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.613
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7515558717536137
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5469413884153854
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5083081570996979
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-        "lower_is_better": false,
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diff --git a/data/hfopenllm_v2/marcuscedricridia/absolute-o1-7b/e9756d91-b9e2-4dd0-bf08-c6154c7d1f2e.json b/data/hfopenllm_v2/marcuscedricridia/absolute-o1-7b/e9756d91-b9e2-4dd0-bf08-c6154c7d1f2e.json
new file mode 100644
index 000000000..6b56c9588
--- /dev/null
+++ b/data/hfopenllm_v2/marcuscedricridia/absolute-o1-7b/e9756d91-b9e2-4dd0-bf08-c6154c7d1f2e.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/marcuscedricridia_absolute-o1-7b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "absolute-o1-7b",
+    "id": "marcuscedricridia/absolute-o1-7b",
+    "developer": "marcuscedricridia",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.613
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7516
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5469
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3196
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4114
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4413
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/marcuscedricridia/cursa-o1-7b-2-28-2025/2a0bcf8c-cf70-4d13-a713-67054bc98412.json b/data/hfopenllm_v2/marcuscedricridia/cursa-o1-7b-2-28-2025/2a0bcf8c-cf70-4d13-a713-67054bc98412.json
deleted file mode 100644
index 5944869b7..000000000
--- a/data/hfopenllm_v2/marcuscedricridia/cursa-o1-7b-2-28-2025/2a0bcf8c-cf70-4d13-a713-67054bc98412.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/marcuscedricridia_cursa-o1-7b-2-28-2025/1762652580.3360791",
-  "retrieved_timestamp": "1762652580.3360798",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
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-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "marcuscedricridia/cursa-o1-7b-2-28-2025",
-    "developer": "marcuscedricridia",
-    "inference_platform": "unknown",
-    "id": "marcuscedricridia/cursa-o1-7b-2-28-2025",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.613
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-    {
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-        "lower_is_better": false,
-        "score_type": "continuous",
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-    {
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42733333333333334
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4365026595744681
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/marcuscedricridia/cursa-o1-7b-2-28-2025/704598c3-c5d6-4ce0-bab3-0fa98118e16a.json b/data/hfopenllm_v2/marcuscedricridia/cursa-o1-7b-2-28-2025/704598c3-c5d6-4ce0-bab3-0fa98118e16a.json
new file mode 100644
index 000000000..f7db34598
--- /dev/null
+++ b/data/hfopenllm_v2/marcuscedricridia/cursa-o1-7b-2-28-2025/704598c3-c5d6-4ce0-bab3-0fa98118e16a.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/marcuscedricridia_cursa-o1-7b-2-28-2025/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "cursa-o1-7b-2-28-2025",
+    "id": "marcuscedricridia/cursa-o1-7b-2-28-2025",
+    "developer": "marcuscedricridia",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.613
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7467
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5384
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4811
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.307
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4273
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4365
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/marcuscedricridia/cursa-o1-7b-v1.1/f24a1f02-da21-49f0-91b9-65df4fd770db.json b/data/hfopenllm_v2/marcuscedricridia/cursa-o1-7b-v1.1/f24a1f02-da21-49f0-91b9-65df4fd770db.json
deleted file mode 100644
index 966234ad1..000000000
--- a/data/hfopenllm_v2/marcuscedricridia/cursa-o1-7b-v1.1/f24a1f02-da21-49f0-91b9-65df4fd770db.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/marcuscedricridia_cursa-o1-7b-v1.1/1762652580.336299",
-  "retrieved_timestamp": "1762652580.3363001",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "marcuscedricridia/cursa-o1-7b-v1.1",
-    "developer": "marcuscedricridia",
-    "inference_platform": "unknown",
-    "id": "marcuscedricridia/cursa-o1-7b-v1.1",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.613
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7527549125209998
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5492557305346194
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4984894259818731
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3070469798657718
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.425875
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.43916223404255317
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/marcuscedricridia/cursa-o1-7b-v1.1/fafc9463-d725-4827-8bc1-5cd9e83814b6.json b/data/hfopenllm_v2/marcuscedricridia/cursa-o1-7b-v1.1/fafc9463-d725-4827-8bc1-5cd9e83814b6.json
new file mode 100644
index 000000000..542f287db
--- /dev/null
+++ b/data/hfopenllm_v2/marcuscedricridia/cursa-o1-7b-v1.1/fafc9463-d725-4827-8bc1-5cd9e83814b6.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/marcuscedricridia_cursa-o1-7b-v1.1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "cursa-o1-7b-v1.1",
+    "id": "marcuscedricridia/cursa-o1-7b-v1.1",
+    "developer": "marcuscedricridia",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.613
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7528
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5493
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+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4985
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+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.307
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
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+        "evaluation_description": "Accuracy on MMLU-PRO",
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+        "max_score": 1.0
+      },
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+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/marcuscedricridia/cursa-o1-7b-v1.2-normalize-false/109820e0-ee00-449c-9ae5-58a7bf1da5f8.json b/data/hfopenllm_v2/marcuscedricridia/cursa-o1-7b-v1.2-normalize-false/109820e0-ee00-449c-9ae5-58a7bf1da5f8.json
new file mode 100644
index 000000000..37f93dd1f
--- /dev/null
+++ b/data/hfopenllm_v2/marcuscedricridia/cursa-o1-7b-v1.2-normalize-false/109820e0-ee00-449c-9ae5-58a7bf1da5f8.json
@@ -0,0 +1,132 @@
+{
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+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "cursa-o1-7b-v1.2-normalize-false",
+    "id": "marcuscedricridia/cursa-o1-7b-v1.2-normalize-false",
+    "developer": "marcuscedricridia",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.613
+    }
+  },
+  "evaluation_results": [
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
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+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
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+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.307
+      }
+    },
+    {
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+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4273
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+    },
+    {
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+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4436
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/marcuscedricridia/cursa-o1-7b-v1.2-normalize-false/2632f42e-cbe3-4c55-b434-f4a239aeffa4.json b/data/hfopenllm_v2/marcuscedricridia/cursa-o1-7b-v1.2-normalize-false/2632f42e-cbe3-4c55-b434-f4a239aeffa4.json
deleted file mode 100644
index d9be8bc3d..000000000
--- a/data/hfopenllm_v2/marcuscedricridia/cursa-o1-7b-v1.2-normalize-false/2632f42e-cbe3-4c55-b434-f4a239aeffa4.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "source_data": [
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-    "evaluator_relationship": "third_party",
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-    "name": "marcuscedricridia/cursa-o1-7b-v1.2-normalize-false",
-    "developer": "marcuscedricridia",
-    "inference_platform": "unknown",
-    "id": "marcuscedricridia/cursa-o1-7b-v1.2-normalize-false",
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-        "lower_is_better": false,
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-        "max_score": 1
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-}
diff --git a/data/hfopenllm_v2/marcuscedricridia/cursa-o1-7b/0f7f339a-5523-4551-ba77-4fe34779d017.json b/data/hfopenllm_v2/marcuscedricridia/cursa-o1-7b/0f7f339a-5523-4551-ba77-4fe34779d017.json
deleted file mode 100644
index 36e4c452c..000000000
--- a/data/hfopenllm_v2/marcuscedricridia/cursa-o1-7b/0f7f339a-5523-4551-ba77-4fe34779d017.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
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-    "developer": "marcuscedricridia",
-    "inference_platform": "unknown",
-    "id": "marcuscedricridia/cursa-o1-7b",
-    "additional_details": {
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-        "max_score": 1
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
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-}
diff --git a/data/hfopenllm_v2/marcuscedricridia/cursa-o1-7b/37f29d5b-d803-4195-9ce0-75e45e32c160.json b/data/hfopenllm_v2/marcuscedricridia/cursa-o1-7b/37f29d5b-d803-4195-9ce0-75e45e32c160.json
new file mode 100644
index 000000000..ad5a42f1a
--- /dev/null
+++ b/data/hfopenllm_v2/marcuscedricridia/cursa-o1-7b/37f29d5b-d803-4195-9ce0-75e45e32c160.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/marcuscedricridia_cursa-o1-7b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "cursa-o1-7b",
+    "id": "marcuscedricridia/cursa-o1-7b",
+    "developer": "marcuscedricridia",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.613
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7628
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+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5466
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "max_score": 1.0
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+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.307
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4301
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4392
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/marcuscedricridia/cursor-o1-7b/43546f48-8c46-4481-b1e5-f4b1ad2535be.json b/data/hfopenllm_v2/marcuscedricridia/cursor-o1-7b/43546f48-8c46-4481-b1e5-f4b1ad2535be.json
new file mode 100644
index 000000000..69bdd676a
--- /dev/null
+++ b/data/hfopenllm_v2/marcuscedricridia/cursor-o1-7b/43546f48-8c46-4481-b1e5-f4b1ad2535be.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/marcuscedricridia_cursor-o1-7b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "cursor-o1-7b",
+    "id": "marcuscedricridia/cursor-o1-7b",
+    "developer": "marcuscedricridia",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
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+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4107
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+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5007
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
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+        "score_type": "continuous",
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+      },
+      "score_details": {
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+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4101
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+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3251
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/marcuscedricridia/cursor-o1-7b/764c4dcb-caea-418c-b206-ee401ea0d979.json b/data/hfopenllm_v2/marcuscedricridia/cursor-o1-7b/764c4dcb-caea-418c-b206-ee401ea0d979.json
deleted file mode 100644
index 0e9e760b9..000000000
--- a/data/hfopenllm_v2/marcuscedricridia/cursor-o1-7b/764c4dcb-caea-418c-b206-ee401ea0d979.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/marcuscedricridia_cursor-o1-7b/1762652580.3367229",
-  "retrieved_timestamp": "1762652580.336724",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "marcuscedricridia/cursor-o1-7b",
-    "developer": "marcuscedricridia",
-    "inference_platform": "unknown",
-    "id": "marcuscedricridia/cursor-o1-7b",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.616
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4106880853912065
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5007453242508472
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.14123867069486404
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.28104026845637586
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41009375
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.32513297872340424
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/marcuscedricridia/cursorr-o1.2-7b/51cd189c-82a8-4475-8df5-9a855394274a.json b/data/hfopenllm_v2/marcuscedricridia/cursorr-o1.2-7b/51cd189c-82a8-4475-8df5-9a855394274a.json
deleted file mode 100644
index 77a11099c..000000000
--- a/data/hfopenllm_v2/marcuscedricridia/cursorr-o1.2-7b/51cd189c-82a8-4475-8df5-9a855394274a.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/marcuscedricridia_cursorr-o1.2-7b/1762652580.336929",
-  "retrieved_timestamp": "1762652580.336929",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "marcuscedricridia/cursorr-o1.2-7b",
-    "developer": "marcuscedricridia",
-    "inference_platform": "unknown",
-    "id": "marcuscedricridia/cursorr-o1.2-7b",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.616
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1659895743294459
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3068134113454804
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.0
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.25419463087248323
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.35384375
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.10804521276595745
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/marcuscedricridia/cursorr-o1.2-7b/ec81e0ff-9cb4-4d43-9f78-1d5f4edc9103.json b/data/hfopenllm_v2/marcuscedricridia/cursorr-o1.2-7b/ec81e0ff-9cb4-4d43-9f78-1d5f4edc9103.json
new file mode 100644
index 000000000..ebc368fd4
--- /dev/null
+++ b/data/hfopenllm_v2/marcuscedricridia/cursorr-o1.2-7b/ec81e0ff-9cb4-4d43-9f78-1d5f4edc9103.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/marcuscedricridia_cursorr-o1.2-7b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "cursorr-o1.2-7b",
+    "id": "marcuscedricridia/cursorr-o1.2-7b",
+    "developer": "marcuscedricridia",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.166
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3068
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2542
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3538
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.108
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/marcuscedricridia/etr1o-explicit-v1.1/02fe0385-223e-4578-b3fb-d6819f783861.json b/data/hfopenllm_v2/marcuscedricridia/etr1o-explicit-v1.1/02fe0385-223e-4578-b3fb-d6819f783861.json
deleted file mode 100644
index 54d30ea84..000000000
--- a/data/hfopenllm_v2/marcuscedricridia/etr1o-explicit-v1.1/02fe0385-223e-4578-b3fb-d6819f783861.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/marcuscedricridia_etr1o-explicit-v1.1/1762652580.337136",
-  "retrieved_timestamp": "1762652580.337137",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "marcuscedricridia/etr1o-explicit-v1.1",
-    "developer": "marcuscedricridia",
-    "inference_platform": "unknown",
-    "id": "marcuscedricridia/etr1o-explicit-v1.1",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.613
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.28803906966847964
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.31316553135589525
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.004531722054380665
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.27768456375838924
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4110520833333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11951462765957446
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/marcuscedricridia/etr1o-explicit-v1.1/9290c86f-40b0-4520-b8aa-3460de62c396.json b/data/hfopenllm_v2/marcuscedricridia/etr1o-explicit-v1.1/9290c86f-40b0-4520-b8aa-3460de62c396.json
new file mode 100644
index 000000000..3d23d32e5
--- /dev/null
+++ b/data/hfopenllm_v2/marcuscedricridia/etr1o-explicit-v1.1/9290c86f-40b0-4520-b8aa-3460de62c396.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/marcuscedricridia_etr1o-explicit-v1.1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "etr1o-explicit-v1.1",
+    "id": "marcuscedricridia/etr1o-explicit-v1.1",
+    "developer": "marcuscedricridia",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.613
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.288
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3132
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0045
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2777
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4111
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1195
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/marcuscedricridia/etr1o-explicit-v1.2/3ec5106d-86be-48a8-bb3d-6574b6971641.json b/data/hfopenllm_v2/marcuscedricridia/etr1o-explicit-v1.2/3ec5106d-86be-48a8-bb3d-6574b6971641.json
deleted file mode 100644
index d290dd40a..000000000
--- a/data/hfopenllm_v2/marcuscedricridia/etr1o-explicit-v1.2/3ec5106d-86be-48a8-bb3d-6574b6971641.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/marcuscedricridia_etr1o-explicit-v1.2/1762652580.337388",
-  "retrieved_timestamp": "1762652580.337389",
-  "source_data": [
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diff --git a/data/hfopenllm_v2/marcuscedricridia/etr1o-explicit-v1.2/a4bf576e-9556-4956-8dcb-4d8906d45db0.json b/data/hfopenllm_v2/marcuscedricridia/etr1o-explicit-v1.2/a4bf576e-9556-4956-8dcb-4d8906d45db0.json
new file mode 100644
index 000000000..22ae724ac
--- /dev/null
+++ b/data/hfopenllm_v2/marcuscedricridia/etr1o-explicit-v1.2/a4bf576e-9556-4956-8dcb-4d8906d45db0.json
@@ -0,0 +1,132 @@
+{
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+  "evaluation_id": "hfopenllm_v2/marcuscedricridia_etr1o-explicit-v1.2/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
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+    "id": "marcuscedricridia/etr1o-explicit-v1.2",
+    "developer": "marcuscedricridia",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.613
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
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+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.295
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+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "max_score": 1.0
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+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+    },
+    {
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+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4031
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+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1126
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/marcuscedricridia/etr1o-v1.1/320a5c00-3307-4bc3-9f47-9befb88e461c.json b/data/hfopenllm_v2/marcuscedricridia/etr1o-v1.1/320a5c00-3307-4bc3-9f47-9befb88e461c.json
new file mode 100644
index 000000000..a0ab10b5b
--- /dev/null
+++ b/data/hfopenllm_v2/marcuscedricridia/etr1o-v1.1/320a5c00-3307-4bc3-9f47-9befb88e461c.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/marcuscedricridia_etr1o-v1.1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "etr1o-v1.1",
+    "id": "marcuscedricridia/etr1o-v1.1",
+    "developer": "marcuscedricridia",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.613
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1597
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2567
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4017
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+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1157
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/marcuscedricridia/etr1o-v1.1/cd68d6d9-a5c7-4f32-b372-0e954af830ad.json b/data/hfopenllm_v2/marcuscedricridia/etr1o-v1.1/cd68d6d9-a5c7-4f32-b372-0e954af830ad.json
deleted file mode 100644
index eae191525..000000000
--- a/data/hfopenllm_v2/marcuscedricridia/etr1o-v1.1/cd68d6d9-a5c7-4f32-b372-0e954af830ad.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
-    "name": "marcuscedricridia/etr1o-v1.1",
-    "developer": "marcuscedricridia",
-    "inference_platform": "unknown",
-    "id": "marcuscedricridia/etr1o-v1.1",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.613
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-        "score_type": "continuous",
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-    {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-      },
-      "score_details": {
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/marcuscedricridia/etr1o-v1.2/81b5a281-9dc6-4ae5-8079-d0e308a20c8e.json b/data/hfopenllm_v2/marcuscedricridia/etr1o-v1.2/81b5a281-9dc6-4ae5-8079-d0e308a20c8e.json
deleted file mode 100644
index e3f05edd5..000000000
--- a/data/hfopenllm_v2/marcuscedricridia/etr1o-v1.2/81b5a281-9dc6-4ae5-8079-d0e308a20c8e.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/marcuscedricridia_etr1o-v1.2/1762652580.337824",
-  "retrieved_timestamp": "1762652580.337825",
-  "source_data": [
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
-    "name": "marcuscedricridia/etr1o-v1.2",
-    "developer": "marcuscedricridia",
-    "inference_platform": "unknown",
-    "id": "marcuscedricridia/etr1o-v1.2",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 14.766
-    }
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-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
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-        "min_score": 0,
-        "max_score": 1
-      },
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-    {
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-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-    },
-    {
-      "evaluation_name": "GPQA",
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37583892617449666
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4714479166666667
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5315824468085106
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/marcuscedricridia/etr1o-v1.2/844d1556-6bc6-467e-a145-f92646770727.json b/data/hfopenllm_v2/marcuscedricridia/etr1o-v1.2/844d1556-6bc6-467e-a145-f92646770727.json
new file mode 100644
index 000000000..c2db8d268
--- /dev/null
+++ b/data/hfopenllm_v2/marcuscedricridia/etr1o-v1.2/844d1556-6bc6-467e-a145-f92646770727.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/marcuscedricridia_etr1o-v1.2/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "etr1o-v1.2",
+    "id": "marcuscedricridia/etr1o-v1.2",
+    "developer": "marcuscedricridia",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.766
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7287
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
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+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6349
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+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3588
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+    {
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+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4714
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5316
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/marcuscedricridia/fan-o1-7b/78923f4b-c2e7-4472-8398-10a0a8453ec5.json b/data/hfopenllm_v2/marcuscedricridia/fan-o1-7b/78923f4b-c2e7-4472-8398-10a0a8453ec5.json
new file mode 100644
index 000000000..63b85c22d
--- /dev/null
+++ b/data/hfopenllm_v2/marcuscedricridia/fan-o1-7b/78923f4b-c2e7-4472-8398-10a0a8453ec5.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/marcuscedricridia_fan-o1-7b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "fan-o1-7b",
+    "id": "marcuscedricridia/fan-o1-7b",
+    "developer": "marcuscedricridia",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.613
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4456
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4849
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
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+      },
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+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
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+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3834
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3274
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/marcuscedricridia/fan-o1-7b/9693b68f-ac5c-4111-804c-0505ec8bf06d.json b/data/hfopenllm_v2/marcuscedricridia/fan-o1-7b/9693b68f-ac5c-4111-804c-0505ec8bf06d.json
deleted file mode 100644
index 9bda3591c..000000000
--- a/data/hfopenllm_v2/marcuscedricridia/fan-o1-7b/9693b68f-ac5c-4111-804c-0505ec8bf06d.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/marcuscedricridia_fan-o1-7b/1762652580.338023",
-  "retrieved_timestamp": "1762652580.338024",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
-    "name": "marcuscedricridia/fan-o1-7b",
-    "developer": "marcuscedricridia",
-    "inference_platform": "unknown",
-    "id": "marcuscedricridia/fan-o1-7b",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.613
-    }
-  },
-  "evaluation_results": [
-    {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-    {
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-        "score_type": "continuous",
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-        "max_score": 1
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
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-      },
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-    },
-    {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.28439597315436244
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3833645833333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/marcuscedricridia/olmner-7b/17abe1bf-2e97-409e-88e3-4f661861a195.json b/data/hfopenllm_v2/marcuscedricridia/olmner-7b/17abe1bf-2e97-409e-88e3-4f661861a195.json
new file mode 100644
index 000000000..116baa15b
--- /dev/null
+++ b/data/hfopenllm_v2/marcuscedricridia/olmner-7b/17abe1bf-2e97-409e-88e3-4f661861a195.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/marcuscedricridia_olmner-7b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "olmner-7b",
+    "id": "marcuscedricridia/olmner-7b",
+    "developer": "marcuscedricridia",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7254
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+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5472
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.463
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3079
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.438
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4309
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/marcuscedricridia/olmner-7b/5064ebea-3ec3-4344-867f-e33f8937d096.json b/data/hfopenllm_v2/marcuscedricridia/olmner-7b/5064ebea-3ec3-4344-867f-e33f8937d096.json
deleted file mode 100644
index b29f528bd..000000000
--- a/data/hfopenllm_v2/marcuscedricridia/olmner-7b/5064ebea-3ec3-4344-867f-e33f8937d096.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/marcuscedricridia_olmner-7b/1762652580.338225",
-  "retrieved_timestamp": "1762652580.338225",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "marcuscedricridia/olmner-7b",
-    "developer": "marcuscedricridia",
-    "inference_platform": "unknown",
-    "id": "marcuscedricridia/olmner-7b",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.616
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
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-        "score": 0.7253775537795273
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-    },
-    {
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5471591805569388
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-    },
-    {
-      "evaluation_name": "GPQA",
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-        "max_score": 1
-      },
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-    },
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-      "evaluation_name": "MUSR",
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-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.43796875
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
-        "score": 0.4309341755319149
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-  ]
-}
diff --git a/data/hfopenllm_v2/marcuscedricridia/olmner-della-7b/062e407e-7820-459f-83da-b670f8adff9d.json b/data/hfopenllm_v2/marcuscedricridia/olmner-della-7b/062e407e-7820-459f-83da-b670f8adff9d.json
deleted file mode 100644
index 3ccbd009a..000000000
--- a/data/hfopenllm_v2/marcuscedricridia/olmner-della-7b/062e407e-7820-459f-83da-b670f8adff9d.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/marcuscedricridia_olmner-della-7b/1762652580.338445",
-  "retrieved_timestamp": "1762652580.3384461",
-  "source_data": [
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-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "marcuscedricridia/olmner-della-7b",
-    "developer": "marcuscedricridia",
-    "inference_platform": "unknown",
-    "id": "marcuscedricridia/olmner-della-7b",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.616
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-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
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-        "score_type": "continuous",
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-      "score_details": {
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-  ]
-}
diff --git a/data/hfopenllm_v2/marcuscedricridia/olmner-della-7b/756978e5-1dfe-433e-ba88-339004a50ea7.json b/data/hfopenllm_v2/marcuscedricridia/olmner-della-7b/756978e5-1dfe-433e-ba88-339004a50ea7.json
new file mode 100644
index 000000000..41cca1ed9
--- /dev/null
+++ b/data/hfopenllm_v2/marcuscedricridia/olmner-della-7b/756978e5-1dfe-433e-ba88-339004a50ea7.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/marcuscedricridia_olmner-della-7b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "olmner-della-7b",
+    "id": "marcuscedricridia/olmner-della-7b",
+    "developer": "marcuscedricridia",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7637
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5491
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4962
+      }
+    },
+    {
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+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3012
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4208
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4386
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/marcuscedricridia/olmner-o1-7b/a889ae3a-5d86-4454-bfb9-332c4b61b836.json b/data/hfopenllm_v2/marcuscedricridia/olmner-o1-7b/a889ae3a-5d86-4454-bfb9-332c4b61b836.json
new file mode 100644
index 000000000..963ff040a
--- /dev/null
+++ b/data/hfopenllm_v2/marcuscedricridia/olmner-o1-7b/a889ae3a-5d86-4454-bfb9-332c4b61b836.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/marcuscedricridia_olmner-o1-7b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "olmner-o1-7b",
+    "id": "marcuscedricridia/olmner-o1-7b",
+    "developer": "marcuscedricridia",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.613
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7528
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5481
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4924
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3012
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4299
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4386
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/marcuscedricridia/olmner-o1-7b/b1669ad9-450f-4a93-8094-26f427beb49f.json b/data/hfopenllm_v2/marcuscedricridia/olmner-o1-7b/b1669ad9-450f-4a93-8094-26f427beb49f.json
deleted file mode 100644
index 7181dc4d9..000000000
--- a/data/hfopenllm_v2/marcuscedricridia/olmner-o1-7b/b1669ad9-450f-4a93-8094-26f427beb49f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/marcuscedricridia_olmner-o1-7b/1762652580.338658",
-  "retrieved_timestamp": "1762652580.338659",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "marcuscedricridia/olmner-o1-7b",
-    "developer": "marcuscedricridia",
-    "inference_platform": "unknown",
-    "id": "marcuscedricridia/olmner-o1-7b",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.613
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5480873056178129
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.49244712990936557
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-    },
-    {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3011744966442953
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42990625
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.43858045212765956
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/marcuscedricridia/olmner-sbr-7b/2c5e1086-03b7-4cdd-801e-03fb26183076.json b/data/hfopenllm_v2/marcuscedricridia/olmner-sbr-7b/2c5e1086-03b7-4cdd-801e-03fb26183076.json
new file mode 100644
index 000000000..634719136
--- /dev/null
+++ b/data/hfopenllm_v2/marcuscedricridia/olmner-sbr-7b/2c5e1086-03b7-4cdd-801e-03fb26183076.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/marcuscedricridia_olmner-sbr-7b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "olmner-sbr-7b",
+    "id": "marcuscedricridia/olmner-sbr-7b",
+    "developer": "marcuscedricridia",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.613
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.76
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5462
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4947
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3087
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4154
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4412
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/marcuscedricridia/olmner-sbr-7b/afb014ed-a2e6-46b9-9ee9-a6a1f52e43cf.json b/data/hfopenllm_v2/marcuscedricridia/olmner-sbr-7b/afb014ed-a2e6-46b9-9ee9-a6a1f52e43cf.json
deleted file mode 100644
index 1e05c66c0..000000000
--- a/data/hfopenllm_v2/marcuscedricridia/olmner-sbr-7b/afb014ed-a2e6-46b9-9ee9-a6a1f52e43cf.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/marcuscedricridia_olmner-sbr-7b/1762652580.338864",
-  "retrieved_timestamp": "1762652580.3388648",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "marcuscedricridia/olmner-sbr-7b",
-    "developer": "marcuscedricridia",
-    "inference_platform": "unknown",
-    "id": "marcuscedricridia/olmner-sbr-7b",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.613
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7600488924941378
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5461642048146724
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4947129909365559
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3087248322147651
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
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-        "score_type": "continuous",
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diff --git a/data/hfopenllm_v2/marcuscedricridia/post-cursa-o1/c9632855-db4e-40bb-b140-2ff524d31fd2.json b/data/hfopenllm_v2/marcuscedricridia/post-cursa-o1/c9632855-db4e-40bb-b140-2ff524d31fd2.json
deleted file mode 100644
index 563ae6c8e..000000000
--- a/data/hfopenllm_v2/marcuscedricridia/post-cursa-o1/c9632855-db4e-40bb-b140-2ff524d31fd2.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/marcuscedricridia_post-cursa-o1/1762652580.3390641",
-  "retrieved_timestamp": "1762652580.339065",
-  "source_data": [
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-  "source_metadata": {
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
-    "name": "marcuscedricridia/post-cursa-o1",
-    "developer": "marcuscedricridia",
-    "inference_platform": "unknown",
-    "id": "marcuscedricridia/post-cursa-o1",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.613
-    }
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-      "evaluation_name": "IFEval",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-        "max_score": 1
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-      "score_details": {
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-      "evaluation_name": "MATH Level 5",
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-        "lower_is_better": false,
-        "score_type": "continuous",
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-      "score_details": {
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-      "evaluation_name": "MUSR",
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-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.43514583333333334
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4360871010638298
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/marcuscedricridia/post-cursa-o1/d9578847-b732-4c75-b246-9cdf03674fe0.json b/data/hfopenllm_v2/marcuscedricridia/post-cursa-o1/d9578847-b732-4c75-b246-9cdf03674fe0.json
new file mode 100644
index 000000000..2d244c450
--- /dev/null
+++ b/data/hfopenllm_v2/marcuscedricridia/post-cursa-o1/d9578847-b732-4c75-b246-9cdf03674fe0.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/marcuscedricridia_post-cursa-o1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "post-cursa-o1",
+    "id": "marcuscedricridia/post-cursa-o1",
+    "developer": "marcuscedricridia",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.613
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7628
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.548
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4872
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3096
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4351
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4361
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/marcuscedricridia/pre-cursa-o1-v1.2/4c6f83fe-7896-4cf3-9434-b5f8d499f5ba.json b/data/hfopenllm_v2/marcuscedricridia/pre-cursa-o1-v1.2/4c6f83fe-7896-4cf3-9434-b5f8d499f5ba.json
new file mode 100644
index 000000000..57d91dea9
--- /dev/null
+++ b/data/hfopenllm_v2/marcuscedricridia/pre-cursa-o1-v1.2/4c6f83fe-7896-4cf3-9434-b5f8d499f5ba.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/marcuscedricridia_pre-cursa-o1-v1.2/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "pre-cursa-o1-v1.2",
+    "id": "marcuscedricridia/pre-cursa-o1-v1.2",
+    "developer": "marcuscedricridia",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.613
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7549
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5487
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5068
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3129
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4272
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4402
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/marcuscedricridia/pre-cursa-o1-v1.2/9db3b6b0-7cc8-48b6-85f5-1662cad07fae.json b/data/hfopenllm_v2/marcuscedricridia/pre-cursa-o1-v1.2/9db3b6b0-7cc8-48b6-85f5-1662cad07fae.json
deleted file mode 100644
index 089e170c2..000000000
--- a/data/hfopenllm_v2/marcuscedricridia/pre-cursa-o1-v1.2/9db3b6b0-7cc8-48b6-85f5-1662cad07fae.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/marcuscedricridia_pre-cursa-o1-v1.2/1762652580.339467",
-  "retrieved_timestamp": "1762652580.339468",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "marcuscedricridia/pre-cursa-o1-v1.2",
-    "developer": "marcuscedricridia",
-    "inference_platform": "unknown",
-    "id": "marcuscedricridia/pre-cursa-o1-v1.2",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.613
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-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7548781677061308
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5486788313377599
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
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-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.31291946308724833
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42723958333333334
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4402426861702128
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/marcuscedricridia/pre-cursa-o1-v1.3/619037af-d528-4579-b7e3-58628468d8fb.json b/data/hfopenllm_v2/marcuscedricridia/pre-cursa-o1-v1.3/619037af-d528-4579-b7e3-58628468d8fb.json
new file mode 100644
index 000000000..ba339407b
--- /dev/null
+++ b/data/hfopenllm_v2/marcuscedricridia/pre-cursa-o1-v1.3/619037af-d528-4579-b7e3-58628468d8fb.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/marcuscedricridia_pre-cursa-o1-v1.3/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "pre-cursa-o1-v1.3",
+    "id": "marcuscedricridia/pre-cursa-o1-v1.3",
+    "developer": "marcuscedricridia",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.613
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7507
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5455
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5076
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3129
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4271
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.442
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/marcuscedricridia/pre-cursa-o1-v1.3/f86cf126-4fb3-4419-82bf-e5c0168e25cb.json b/data/hfopenllm_v2/marcuscedricridia/pre-cursa-o1-v1.3/f86cf126-4fb3-4419-82bf-e5c0168e25cb.json
deleted file mode 100644
index 9db82ce43..000000000
--- a/data/hfopenllm_v2/marcuscedricridia/pre-cursa-o1-v1.3/f86cf126-4fb3-4419-82bf-e5c0168e25cb.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/marcuscedricridia_pre-cursa-o1-v1.3/1762652580.339683",
-  "retrieved_timestamp": "1762652580.339684",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "marcuscedricridia/pre-cursa-o1-v1.3",
-    "developer": "marcuscedricridia",
-    "inference_platform": "unknown",
-    "id": "marcuscedricridia/pre-cursa-o1-v1.3",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.613
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7506815250202795
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5454519705653261
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5075528700906344
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.31291946308724833
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42714583333333334
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4419880319148936
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/marcuscedricridia/pre-cursa-o1-v1.4/4ed1f68a-6bc9-4621-beb1-3d274247cdb6.json b/data/hfopenllm_v2/marcuscedricridia/pre-cursa-o1-v1.4/4ed1f68a-6bc9-4621-beb1-3d274247cdb6.json
deleted file mode 100644
index 80bc2daf7..000000000
--- a/data/hfopenllm_v2/marcuscedricridia/pre-cursa-o1-v1.4/4ed1f68a-6bc9-4621-beb1-3d274247cdb6.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/marcuscedricridia_pre-cursa-o1-v1.4/1762652580.3398788",
-  "retrieved_timestamp": "1762652580.33988",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "marcuscedricridia/pre-cursa-o1-v1.4",
-    "developer": "marcuscedricridia",
-    "inference_platform": "unknown",
-    "id": "marcuscedricridia/pre-cursa-o1-v1.4",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.613
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.748783228500379
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5493014138981462
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.48338368580060426
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3053691275167785
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42851041666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4435671542553192
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/marcuscedricridia/pre-cursa-o1-v1.4/5113b737-8d9f-4321-9a67-91f1aabb40a1.json b/data/hfopenllm_v2/marcuscedricridia/pre-cursa-o1-v1.4/5113b737-8d9f-4321-9a67-91f1aabb40a1.json
new file mode 100644
index 000000000..4cb1c2ce4
--- /dev/null
+++ b/data/hfopenllm_v2/marcuscedricridia/pre-cursa-o1-v1.4/5113b737-8d9f-4321-9a67-91f1aabb40a1.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/marcuscedricridia_pre-cursa-o1-v1.4/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "pre-cursa-o1-v1.4",
+    "id": "marcuscedricridia/pre-cursa-o1-v1.4",
+    "developer": "marcuscedricridia",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.613
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7488
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5493
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4834
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3054
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4285
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4436
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/marcuscedricridia/pre-cursa-o1-v1.6/50627b31-a8d4-401a-8449-5f33cfb17893.json b/data/hfopenllm_v2/marcuscedricridia/pre-cursa-o1-v1.6/50627b31-a8d4-401a-8449-5f33cfb17893.json
deleted file mode 100644
index b2cb168cf..000000000
--- a/data/hfopenllm_v2/marcuscedricridia/pre-cursa-o1-v1.6/50627b31-a8d4-401a-8449-5f33cfb17893.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/marcuscedricridia_pre-cursa-o1-v1.6/1762652580.340074",
-  "retrieved_timestamp": "1762652580.340075",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "marcuscedricridia/pre-cursa-o1-v1.6",
-    "developer": "marcuscedricridia",
-    "inference_platform": "unknown",
-    "id": "marcuscedricridia/pre-cursa-o1-v1.6",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.613
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7527549125209998
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5473342320067097
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.32046979865771813
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4233645833333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.44132313829787234
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/marcuscedricridia/pre-cursa-o1-v1.6/641ac372-2e5a-4b44-b22e-a17600a6a868.json b/data/hfopenllm_v2/marcuscedricridia/pre-cursa-o1-v1.6/641ac372-2e5a-4b44-b22e-a17600a6a868.json
new file mode 100644
index 000000000..f3a0dee4d
--- /dev/null
+++ b/data/hfopenllm_v2/marcuscedricridia/pre-cursa-o1-v1.6/641ac372-2e5a-4b44-b22e-a17600a6a868.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/marcuscedricridia_pre-cursa-o1-v1.6/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "pre-cursa-o1-v1.6",
+    "id": "marcuscedricridia/pre-cursa-o1-v1.6",
+    "developer": "marcuscedricridia",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.613
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7528
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5473
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3205
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4234
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4413
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/marcuscedricridia/pre-cursa-o1/51fc3a16-67c2-448b-9854-07ab8adc4dea.json b/data/hfopenllm_v2/marcuscedricridia/pre-cursa-o1/51fc3a16-67c2-448b-9854-07ab8adc4dea.json
deleted file mode 100644
index 3583c9ee4..000000000
--- a/data/hfopenllm_v2/marcuscedricridia/pre-cursa-o1/51fc3a16-67c2-448b-9854-07ab8adc4dea.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/marcuscedricridia_pre-cursa-o1/1762652580.3392608",
-  "retrieved_timestamp": "1762652580.339262",
-  "source_data": [
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diff --git a/data/hfopenllm_v2/marcuscedricridia/pre-cursa-o1/7cbb0b08-871d-48fc-bf3e-86267f5ef19d.json b/data/hfopenllm_v2/marcuscedricridia/pre-cursa-o1/7cbb0b08-871d-48fc-bf3e-86267f5ef19d.json
new file mode 100644
index 000000000..2cf7d9f19
--- /dev/null
+++ b/data/hfopenllm_v2/marcuscedricridia/pre-cursa-o1/7cbb0b08-871d-48fc-bf3e-86267f5ef19d.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/marcuscedricridia_pre-cursa-o1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "pre-cursa-o1",
+    "id": "marcuscedricridia/pre-cursa-o1",
+    "developer": "marcuscedricridia",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.613
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
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+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5462
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3096
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.426
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+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4424
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/marcuscedricridia/r1o-et/84de36db-b427-40c4-80f6-2114c8ad4e4f.json b/data/hfopenllm_v2/marcuscedricridia/r1o-et/84de36db-b427-40c4-80f6-2114c8ad4e4f.json
deleted file mode 100644
index f76d66179..000000000
--- a/data/hfopenllm_v2/marcuscedricridia/r1o-et/84de36db-b427-40c4-80f6-2114c8ad4e4f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-    },
-    {
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-        "lower_is_better": false,
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-        "min_score": 0,
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-        "lower_is_better": false,
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-    }
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-}
diff --git a/data/hfopenllm_v2/marcuscedricridia/r1o-et/c82e887c-c8ab-4221-aa0b-e8b7a86e7c46.json b/data/hfopenllm_v2/marcuscedricridia/r1o-et/c82e887c-c8ab-4221-aa0b-e8b7a86e7c46.json
new file mode 100644
index 000000000..57d5458d0
--- /dev/null
+++ b/data/hfopenllm_v2/marcuscedricridia/r1o-et/c82e887c-c8ab-4221-aa0b-e8b7a86e7c46.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/marcuscedricridia_r1o-et/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "r1o-et",
+    "id": "marcuscedricridia/r1o-et",
+    "developer": "marcuscedricridia",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.613
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3597
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4209
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0793
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2727
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3579
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.258
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/marcuscedricridia/sbr-o1-7b/05666c00-3b8c-48f3-9e36-bc9a116bb0c6.json b/data/hfopenllm_v2/marcuscedricridia/sbr-o1-7b/05666c00-3b8c-48f3-9e36-bc9a116bb0c6.json
deleted file mode 100644
index 09403a9c8..000000000
--- a/data/hfopenllm_v2/marcuscedricridia/sbr-o1-7b/05666c00-3b8c-48f3-9e36-bc9a116bb0c6.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "retrieved_timestamp": "1762652580.340478",
-  "source_data": [
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-  ],
-  "source_metadata": {
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
-    "name": "marcuscedricridia/sbr-o1-7b",
-    "developer": "marcuscedricridia",
-    "inference_platform": "unknown",
-    "id": "marcuscedricridia/sbr-o1-7b",
-    "additional_details": {
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-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.613
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-  },
-  "evaluation_results": [
-    {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-    {
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-        "max_score": 1
-      },
-      "score_details": {
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-    {
-      "evaluation_name": "MATH Level 5",
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-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
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-        "max_score": 1
-      },
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-    },
-    {
-      "evaluation_name": "GPQA",
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3104026845637584
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4404166666666667
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.43550531914893614
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/marcuscedricridia/sbr-o1-7b/50c65a83-9d08-4155-ad2c-5a2f8ffc8743.json b/data/hfopenllm_v2/marcuscedricridia/sbr-o1-7b/50c65a83-9d08-4155-ad2c-5a2f8ffc8743.json
new file mode 100644
index 000000000..dab48a238
--- /dev/null
+++ b/data/hfopenllm_v2/marcuscedricridia/sbr-o1-7b/50c65a83-9d08-4155-ad2c-5a2f8ffc8743.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/marcuscedricridia_sbr-o1-7b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "sbr-o1-7b",
+    "id": "marcuscedricridia/sbr-o1-7b",
+    "developer": "marcuscedricridia",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.613
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7455
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5479
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4985
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3104
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4404
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4355
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/marcuscedricridia/stray-r1o-et/99d97aef-bb6b-471b-8ed7-f6f92f75842c.json b/data/hfopenllm_v2/marcuscedricridia/stray-r1o-et/99d97aef-bb6b-471b-8ed7-f6f92f75842c.json
new file mode 100644
index 000000000..b8ff455f6
--- /dev/null
+++ b/data/hfopenllm_v2/marcuscedricridia/stray-r1o-et/99d97aef-bb6b-471b-8ed7-f6f92f75842c.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/marcuscedricridia_stray-r1o-et/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "stray-r1o-et",
+    "id": "marcuscedricridia/stray-r1o-et",
+    "developer": "marcuscedricridia",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.613
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1562
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2967
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0045
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2617
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4086
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1094
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/marcuscedricridia/stray-r1o-et/cbf68d01-b993-4bcd-b174-23e3b6e28d3a.json b/data/hfopenllm_v2/marcuscedricridia/stray-r1o-et/cbf68d01-b993-4bcd-b174-23e3b6e28d3a.json
deleted file mode 100644
index c81631690..000000000
--- a/data/hfopenllm_v2/marcuscedricridia/stray-r1o-et/cbf68d01-b993-4bcd-b174-23e3b6e28d3a.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/marcuscedricridia_stray-r1o-et/1762652580.340682",
-  "retrieved_timestamp": "1762652580.340683",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "marcuscedricridia/stray-r1o-et",
-    "developer": "marcuscedricridia",
-    "inference_platform": "unknown",
-    "id": "marcuscedricridia/stray-r1o-et",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.613
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.15622215720953736
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2967459956151434
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.004531722054380665
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.26174496644295303
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4085729166666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.109375
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/matouLeLoup/ECE-PRYMMAL-0.5B-FT-EnhancedMUSREnsembleV3/4800a6d0-8458-405a-95ca-6d0690a8f769.json b/data/hfopenllm_v2/matouLeLoup/ECE-PRYMMAL-0.5B-FT-EnhancedMUSREnsembleV3/4800a6d0-8458-405a-95ca-6d0690a8f769.json
deleted file mode 100644
index 970b8eaa0..000000000
--- a/data/hfopenllm_v2/matouLeLoup/ECE-PRYMMAL-0.5B-FT-EnhancedMUSREnsembleV3/4800a6d0-8458-405a-95ca-6d0690a8f769.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/matouLeLoup_ECE-PRYMMAL-0.5B-FT-EnhancedMUSREnsembleV3/1762652580.340896",
-  "retrieved_timestamp": "1762652580.340897",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "matouLeLoup/ECE-PRYMMAL-0.5B-FT-EnhancedMUSREnsembleV3",
-    "developer": "matouLeLoup",
-    "inference_platform": "unknown",
-    "id": "matouLeLoup/ECE-PRYMMAL-0.5B-FT-EnhancedMUSREnsembleV3",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 0.494
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
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-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
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-        "max_score": 1
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2609060402684564
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37520833333333337
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.17195811170212766
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/matouLeLoup/ECE-PRYMMAL-0.5B-FT-EnhancedMUSREnsembleV3/b98504a0-f1d6-4872-b748-2ca8199c5328.json b/data/hfopenllm_v2/matouLeLoup/ECE-PRYMMAL-0.5B-FT-EnhancedMUSREnsembleV3/b98504a0-f1d6-4872-b748-2ca8199c5328.json
new file mode 100644
index 000000000..524853f69
--- /dev/null
+++ b/data/hfopenllm_v2/matouLeLoup/ECE-PRYMMAL-0.5B-FT-EnhancedMUSREnsembleV3/b98504a0-f1d6-4872-b748-2ca8199c5328.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/matouLeLoup_ECE-PRYMMAL-0.5B-FT-EnhancedMUSREnsembleV3/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "ECE-PRYMMAL-0.5B-FT-EnhancedMUSREnsembleV3",
+    "id": "matouLeLoup/ECE-PRYMMAL-0.5B-FT-EnhancedMUSREnsembleV3",
+    "developer": "matouLeLoup",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 0.494
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1873
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3239
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0264
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2609
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3752
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.172
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/matouLeLoup/ECE-PRYMMAL-0.5B-FT-MUSR-ENSEMBLE-V2Mathis/5a159667-7460-4a97-884e-6a96df59873b.json b/data/hfopenllm_v2/matouLeLoup/ECE-PRYMMAL-0.5B-FT-MUSR-ENSEMBLE-V2Mathis/5a159667-7460-4a97-884e-6a96df59873b.json
new file mode 100644
index 000000000..9c8242ed9
--- /dev/null
+++ b/data/hfopenllm_v2/matouLeLoup/ECE-PRYMMAL-0.5B-FT-MUSR-ENSEMBLE-V2Mathis/5a159667-7460-4a97-884e-6a96df59873b.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/matouLeLoup_ECE-PRYMMAL-0.5B-FT-MUSR-ENSEMBLE-V2Mathis/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "ECE-PRYMMAL-0.5B-FT-MUSR-ENSEMBLE-V2Mathis",
+    "id": "matouLeLoup/ECE-PRYMMAL-0.5B-FT-MUSR-ENSEMBLE-V2Mathis",
+    "developer": "matouLeLoup",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 0.494
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1873
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3239
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0264
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2609
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3752
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.172
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/matouLeLoup/ECE-PRYMMAL-0.5B-FT-MUSR-ENSEMBLE-V2Mathis/95c9ef47-8194-4c00-bbea-a65a7715f9f3.json b/data/hfopenllm_v2/matouLeLoup/ECE-PRYMMAL-0.5B-FT-MUSR-ENSEMBLE-V2Mathis/95c9ef47-8194-4c00-bbea-a65a7715f9f3.json
deleted file mode 100644
index 7213db15f..000000000
--- a/data/hfopenllm_v2/matouLeLoup/ECE-PRYMMAL-0.5B-FT-MUSR-ENSEMBLE-V2Mathis/95c9ef47-8194-4c00-bbea-a65a7715f9f3.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/matouLeLoup_ECE-PRYMMAL-0.5B-FT-MUSR-ENSEMBLE-V2Mathis/1762652580.3411388",
-  "retrieved_timestamp": "1762652580.34114",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "matouLeLoup/ECE-PRYMMAL-0.5B-FT-MUSR-ENSEMBLE-V2Mathis",
-    "developer": "matouLeLoup",
-    "inference_platform": "unknown",
-    "id": "matouLeLoup/ECE-PRYMMAL-0.5B-FT-MUSR-ENSEMBLE-V2Mathis",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 0.494
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.18732186154957736
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3239117424825444
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.026435045317220542
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2609060402684564
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37520833333333337
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.17195811170212766
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/matouLeLoup/ECE-PRYMMAL-0.5B-FT-V4-MUSR-ENSEMBLE-Mathis/16a2eceb-073d-4dc3-87a7-a15c641c5ebb.json b/data/hfopenllm_v2/matouLeLoup/ECE-PRYMMAL-0.5B-FT-V4-MUSR-ENSEMBLE-Mathis/16a2eceb-073d-4dc3-87a7-a15c641c5ebb.json
new file mode 100644
index 000000000..4054a3100
--- /dev/null
+++ b/data/hfopenllm_v2/matouLeLoup/ECE-PRYMMAL-0.5B-FT-V4-MUSR-ENSEMBLE-Mathis/16a2eceb-073d-4dc3-87a7-a15c641c5ebb.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/matouLeLoup_ECE-PRYMMAL-0.5B-FT-V4-MUSR-ENSEMBLE-Mathis/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "ECE-PRYMMAL-0.5B-FT-V4-MUSR-ENSEMBLE-Mathis",
+    "id": "matouLeLoup/ECE-PRYMMAL-0.5B-FT-V4-MUSR-ENSEMBLE-Mathis",
+    "developer": "matouLeLoup",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 0.494
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1873
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3239
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0264
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2609
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3752
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.172
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/matouLeLoup/ECE-PRYMMAL-0.5B-FT-V4-MUSR-ENSEMBLE-Mathis/b88d6df2-5642-4837-bf04-4d804a4ba3c4.json b/data/hfopenllm_v2/matouLeLoup/ECE-PRYMMAL-0.5B-FT-V4-MUSR-ENSEMBLE-Mathis/b88d6df2-5642-4837-bf04-4d804a4ba3c4.json
deleted file mode 100644
index 2fc9fe856..000000000
--- a/data/hfopenllm_v2/matouLeLoup/ECE-PRYMMAL-0.5B-FT-V4-MUSR-ENSEMBLE-Mathis/b88d6df2-5642-4837-bf04-4d804a4ba3c4.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/matouLeLoup_ECE-PRYMMAL-0.5B-FT-V4-MUSR-ENSEMBLE-Mathis/1762652580.341354",
-  "retrieved_timestamp": "1762652580.341354",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "matouLeLoup/ECE-PRYMMAL-0.5B-FT-V4-MUSR-ENSEMBLE-Mathis",
-    "developer": "matouLeLoup",
-    "inference_platform": "unknown",
-    "id": "matouLeLoup/ECE-PRYMMAL-0.5B-FT-V4-MUSR-ENSEMBLE-Mathis",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 0.494
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.18732186154957736
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3239117424825444
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.026435045317220542
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2609060402684564
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37520833333333337
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.17195811170212766
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/matouLeLoup/ECE-PRYMMAL-0.5B-FT-V4-MUSR-Mathis/679f1499-572e-4f60-9b2d-4c8199d71107.json b/data/hfopenllm_v2/matouLeLoup/ECE-PRYMMAL-0.5B-FT-V4-MUSR-Mathis/679f1499-572e-4f60-9b2d-4c8199d71107.json
deleted file mode 100644
index c7cec62a1..000000000
--- a/data/hfopenllm_v2/matouLeLoup/ECE-PRYMMAL-0.5B-FT-V4-MUSR-Mathis/679f1499-572e-4f60-9b2d-4c8199d71107.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/matouLeLoup_ECE-PRYMMAL-0.5B-FT-V4-MUSR-Mathis/1762652580.341564",
-  "retrieved_timestamp": "1762652580.341565",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "matouLeLoup/ECE-PRYMMAL-0.5B-FT-V4-MUSR-Mathis",
-    "developer": "matouLeLoup",
-    "inference_platform": "unknown",
-    "id": "matouLeLoup/ECE-PRYMMAL-0.5B-FT-V4-MUSR-Mathis",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 0.494
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
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-        "score_type": "continuous",
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-        "max_score": 1
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-      "score_details": {
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-    {
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-      "score_details": {
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
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-        "max_score": 1
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-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3684791666666667
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.17204122340425532
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/matouLeLoup/ECE-PRYMMAL-0.5B-FT-V4-MUSR-Mathis/e8e2d04b-21db-43dc-8b8f-7fa3bba87abc.json b/data/hfopenllm_v2/matouLeLoup/ECE-PRYMMAL-0.5B-FT-V4-MUSR-Mathis/e8e2d04b-21db-43dc-8b8f-7fa3bba87abc.json
new file mode 100644
index 000000000..a118652bb
--- /dev/null
+++ b/data/hfopenllm_v2/matouLeLoup/ECE-PRYMMAL-0.5B-FT-V4-MUSR-Mathis/e8e2d04b-21db-43dc-8b8f-7fa3bba87abc.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/matouLeLoup_ECE-PRYMMAL-0.5B-FT-V4-MUSR-Mathis/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "ECE-PRYMMAL-0.5B-FT-V4-MUSR-Mathis",
+    "id": "matouLeLoup/ECE-PRYMMAL-0.5B-FT-V4-MUSR-Mathis",
+    "developer": "matouLeLoup",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 0.494
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1882
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3233
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0272
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2634
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3685
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.172
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/matouLeLoup/ECE-PRYMMAL-0.5B-FT-V5-MUSR-Mathis/8da1b04b-c3a8-4554-bcb5-0e08dcfd7483.json b/data/hfopenllm_v2/matouLeLoup/ECE-PRYMMAL-0.5B-FT-V5-MUSR-Mathis/8da1b04b-c3a8-4554-bcb5-0e08dcfd7483.json
deleted file mode 100644
index 324d6685f..000000000
--- a/data/hfopenllm_v2/matouLeLoup/ECE-PRYMMAL-0.5B-FT-V5-MUSR-Mathis/8da1b04b-c3a8-4554-bcb5-0e08dcfd7483.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/matouLeLoup_ECE-PRYMMAL-0.5B-FT-V5-MUSR-Mathis/1762652580.3417778",
-  "retrieved_timestamp": "1762652580.341779",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "matouLeLoup/ECE-PRYMMAL-0.5B-FT-V5-MUSR-Mathis",
-    "developer": "matouLeLoup",
-    "inference_platform": "unknown",
-    "id": "matouLeLoup/ECE-PRYMMAL-0.5B-FT-V5-MUSR-Mathis",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "?",
-      "params_billions": 0.63
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.16521496296493304
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30237295164613204
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.0188821752265861
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.25671140939597314
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42730208333333336
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1116190159574468
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/matouLeLoup/ECE-PRYMMAL-0.5B-FT-V5-MUSR-Mathis/acbb93b3-f8fc-479d-9610-392efd7d4ecc.json b/data/hfopenllm_v2/matouLeLoup/ECE-PRYMMAL-0.5B-FT-V5-MUSR-Mathis/acbb93b3-f8fc-479d-9610-392efd7d4ecc.json
new file mode 100644
index 000000000..e00a6160a
--- /dev/null
+++ b/data/hfopenllm_v2/matouLeLoup/ECE-PRYMMAL-0.5B-FT-V5-MUSR-Mathis/acbb93b3-f8fc-479d-9610-392efd7d4ecc.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/matouLeLoup_ECE-PRYMMAL-0.5B-FT-V5-MUSR-Mathis/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "ECE-PRYMMAL-0.5B-FT-V5-MUSR-Mathis",
+    "id": "matouLeLoup/ECE-PRYMMAL-0.5B-FT-V5-MUSR-Mathis",
+    "developer": "matouLeLoup",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "?",
+      "params_billions": 0.63
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1652
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3024
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0189
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2567
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4273
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1116
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/mattshumer/Reflection-Llama-3.1-70B/6d0589bd-1f05-44ee-afa5-3657b960d7c9.json b/data/hfopenllm_v2/mattshumer/Reflection-Llama-3.1-70B/6d0589bd-1f05-44ee-afa5-3657b960d7c9.json
new file mode 100644
index 000000000..e8d1ce9f3
--- /dev/null
+++ b/data/hfopenllm_v2/mattshumer/Reflection-Llama-3.1-70B/6d0589bd-1f05-44ee-afa5-3657b960d7c9.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/mattshumer_Reflection-Llama-3.1-70B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Reflection-Llama-3.1-70B",
+    "id": "mattshumer/Reflection-Llama-3.1-70B",
+    "developer": "mattshumer",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 70.554
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0045
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.645
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2145
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3633
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4577
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4955
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/mattshumer/ref_70_e3/134663d8-05a8-4336-90e2-68e7cba5f1df.json b/data/hfopenllm_v2/mattshumer/ref_70_e3/134663d8-05a8-4336-90e2-68e7cba5f1df.json
new file mode 100644
index 000000000..d4167a969
--- /dev/null
+++ b/data/hfopenllm_v2/mattshumer/ref_70_e3/134663d8-05a8-4336-90e2-68e7cba5f1df.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/mattshumer_ref_70_e3/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "ref_70_e3",
+    "id": "mattshumer/ref_70_e3",
+    "developer": "mattshumer",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 70.554
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6294
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6501
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2795
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3356
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4328
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5303
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/mattshumer/ref_70_e3/8ab597da-85ec-45d5-b5e2-f51ca8a2f3c9.json b/data/hfopenllm_v2/mattshumer/ref_70_e3/8ab597da-85ec-45d5-b5e2-f51ca8a2f3c9.json
deleted file mode 100644
index 6593c0097..000000000
--- a/data/hfopenllm_v2/mattshumer/ref_70_e3/8ab597da-85ec-45d5-b5e2-f51ca8a2f3c9.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/mattshumer_ref_70_e3/1762652580.342239",
-  "retrieved_timestamp": "1762652580.34224",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "mattshumer/ref_70_e3",
-    "developer": "mattshumer",
-    "inference_platform": "unknown",
-    "id": "mattshumer/ref_70_e3",
-    "additional_details": {
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diff --git a/data/hfopenllm_v2/maywell/Qwen2-7B-Multilingual-RP/3bfced28-b06e-46ab-a6aa-171b0c424337.json b/data/hfopenllm_v2/maywell/Qwen2-7B-Multilingual-RP/3bfced28-b06e-46ab-a6aa-171b0c424337.json
new file mode 100644
index 000000000..4a43aa1ea
--- /dev/null
+++ b/data/hfopenllm_v2/maywell/Qwen2-7B-Multilingual-RP/3bfced28-b06e-46ab-a6aa-171b0c424337.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/maywell_Qwen2-7B-Multilingual-RP/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2-7B-Multilingual-RP",
+    "id": "maywell/Qwen2-7B-Multilingual-RP",
+    "developer": "maywell",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
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+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+    },
+    {
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+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+      },
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+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/meditsolutions/Llama-3.1-MedIT-SUN-8B/b6a83b82-6b05-4437-a076-e2a3982f6169.json b/data/hfopenllm_v2/meditsolutions/Llama-3.1-MedIT-SUN-8B/b6a83b82-6b05-4437-a076-e2a3982f6169.json
new file mode 100644
index 000000000..a6245e049
--- /dev/null
+++ b/data/hfopenllm_v2/meditsolutions/Llama-3.1-MedIT-SUN-8B/b6a83b82-6b05-4437-a076-e2a3982f6169.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/meditsolutions_Llama-3.1-MedIT-SUN-8B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-3.1-MedIT-SUN-8B",
+    "id": "meditsolutions/Llama-3.1-MedIT-SUN-8B",
+    "developer": "meditsolutions",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7837
+      }
+    },
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5187
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+    },
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+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/meditsolutions/Llama-3.2-SUN-1B-Instruct/f4c341cb-6489-49a1-9532-6b78c2238b2a.json b/data/hfopenllm_v2/meditsolutions/Llama-3.2-SUN-1B-Instruct/f4c341cb-6489-49a1-9532-6b78c2238b2a.json
deleted file mode 100644
index 2658cd4a4..000000000
--- a/data/hfopenllm_v2/meditsolutions/Llama-3.2-SUN-1B-Instruct/f4c341cb-6489-49a1-9532-6b78c2238b2a.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
-    "name": "meditsolutions/Llama-3.2-SUN-1B-Instruct",
-    "developer": "meditsolutions",
-    "inference_platform": "unknown",
-    "id": "meditsolutions/Llama-3.2-SUN-1B-Instruct",
-    "additional_details": {
-      "precision": "bfloat16",
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-    }
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-        "lower_is_better": false,
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-}
diff --git a/data/hfopenllm_v2/meditsolutions/Llama-3.2-SUN-1B-Instruct/f621201b-f571-4487-9f1e-b767675c659d.json b/data/hfopenllm_v2/meditsolutions/Llama-3.2-SUN-1B-Instruct/f621201b-f571-4487-9f1e-b767675c659d.json
new file mode 100644
index 000000000..c6b47ea7c
--- /dev/null
+++ b/data/hfopenllm_v2/meditsolutions/Llama-3.2-SUN-1B-Instruct/f621201b-f571-4487-9f1e-b767675c659d.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/meditsolutions_Llama-3.2-SUN-1B-Instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-3.2-SUN-1B-Instruct",
+    "id": "meditsolutions/Llama-3.2-SUN-1B-Instruct",
+    "developer": "meditsolutions",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaMedITForCausalLM",
+      "params_billions": 1.498
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3474
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.071
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2424
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3514
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1781
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/meditsolutions/Llama-3.2-SUN-1B-chat/710fdb79-fba4-42da-8e26-45b4caf75207.json b/data/hfopenllm_v2/meditsolutions/Llama-3.2-SUN-1B-chat/710fdb79-fba4-42da-8e26-45b4caf75207.json
new file mode 100644
index 000000000..0f33814a2
--- /dev/null
+++ b/data/hfopenllm_v2/meditsolutions/Llama-3.2-SUN-1B-chat/710fdb79-fba4-42da-8e26-45b4caf75207.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/meditsolutions_Llama-3.2-SUN-1B-chat/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-3.2-SUN-1B-chat",
+    "id": "meditsolutions/Llama-3.2-SUN-1B-chat",
+    "developer": "meditsolutions",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 1.498
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5482
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3514
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0642
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2617
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3249
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1838
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/meditsolutions/Llama-3.2-SUN-1B-chat/7e72df4d-7a54-4e11-b4a2-44224db285ec.json b/data/hfopenllm_v2/meditsolutions/Llama-3.2-SUN-1B-chat/7e72df4d-7a54-4e11-b4a2-44224db285ec.json
deleted file mode 100644
index 86a472474..000000000
--- a/data/hfopenllm_v2/meditsolutions/Llama-3.2-SUN-1B-chat/7e72df4d-7a54-4e11-b4a2-44224db285ec.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/meditsolutions_Llama-3.2-SUN-1B-chat/1762652580.343276",
-  "retrieved_timestamp": "1762652580.343277",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "meditsolutions/Llama-3.2-SUN-1B-chat",
-    "developer": "meditsolutions",
-    "inference_platform": "unknown",
-    "id": "meditsolutions/Llama-3.2-SUN-1B-chat",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 1.498
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5481743994822625
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.35144575516411386
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.06419939577039276
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.26174496644295303
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3249166666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.18375997340425532
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/meditsolutions/Llama-3.2-SUN-2.4B-checkpoint-26000/35fa7a5e-8866-4ce3-9899-8737e908f34f.json b/data/hfopenllm_v2/meditsolutions/Llama-3.2-SUN-2.4B-checkpoint-26000/35fa7a5e-8866-4ce3-9899-8737e908f34f.json
new file mode 100644
index 000000000..b58b7f561
--- /dev/null
+++ b/data/hfopenllm_v2/meditsolutions/Llama-3.2-SUN-2.4B-checkpoint-26000/35fa7a5e-8866-4ce3-9899-8737e908f34f.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/meditsolutions_Llama-3.2-SUN-2.4B-checkpoint-26000/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-3.2-SUN-2.4B-checkpoint-26000",
+    "id": "meditsolutions/Llama-3.2-SUN-2.4B-checkpoint-26000",
+    "developer": "meditsolutions",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 2.209
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2814
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3018
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0181
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2777
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4103
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1345
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/meditsolutions/Llama-3.2-SUN-2.4B-checkpoint-34800/2b24b69b-15dc-4666-83f3-c77db545bdbd.json b/data/hfopenllm_v2/meditsolutions/Llama-3.2-SUN-2.4B-checkpoint-34800/2b24b69b-15dc-4666-83f3-c77db545bdbd.json
new file mode 100644
index 000000000..3c289add0
--- /dev/null
+++ b/data/hfopenllm_v2/meditsolutions/Llama-3.2-SUN-2.4B-checkpoint-34800/2b24b69b-15dc-4666-83f3-c77db545bdbd.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/meditsolutions_Llama-3.2-SUN-2.4B-checkpoint-34800/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-3.2-SUN-2.4B-checkpoint-34800",
+    "id": "meditsolutions/Llama-3.2-SUN-2.4B-checkpoint-34800",
+    "developer": "meditsolutions",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 2.209
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2501
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3161
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0106
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2861
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4022
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1357
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/meditsolutions/Llama-3.2-SUN-2.4B-v1.0.0/0d00d849-2147-4fc1-9e5f-d42a95be6ca5.json b/data/hfopenllm_v2/meditsolutions/Llama-3.2-SUN-2.4B-v1.0.0/0d00d849-2147-4fc1-9e5f-d42a95be6ca5.json
new file mode 100644
index 000000000..92bc18771
--- /dev/null
+++ b/data/hfopenllm_v2/meditsolutions/Llama-3.2-SUN-2.4B-v1.0.0/0d00d849-2147-4fc1-9e5f-d42a95be6ca5.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/meditsolutions_Llama-3.2-SUN-2.4B-v1.0.0/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-3.2-SUN-2.4B-v1.0.0",
+    "id": "meditsolutions/Llama-3.2-SUN-2.4B-v1.0.0",
+    "developer": "meditsolutions",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 2.472
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5637
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3391
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0627
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2576
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3209
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1543
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/meditsolutions/Llama-3.2-SUN-2.5B-chat/7385392b-79e9-4764-9326-d7bc1586b918.json b/data/hfopenllm_v2/meditsolutions/Llama-3.2-SUN-2.5B-chat/7385392b-79e9-4764-9326-d7bc1586b918.json
deleted file mode 100644
index 01c800742..000000000
--- a/data/hfopenllm_v2/meditsolutions/Llama-3.2-SUN-2.5B-chat/7385392b-79e9-4764-9326-d7bc1586b918.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/meditsolutions_Llama-3.2-SUN-2.5B-chat/1762652580.344106",
-  "retrieved_timestamp": "1762652580.344107",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
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-    "source_name": "HF Open LLM v2",
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-    "id": "meditsolutions/Llama-3.2-SUN-2.5B-chat",
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-        "score_type": "continuous",
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-        "min_score": 0,
-        "max_score": 1
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-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-}
diff --git a/data/hfopenllm_v2/meditsolutions/Llama-3.2-SUN-2.5B-chat/f45135b0-3c26-44b5-9922-a6c0817a172d.json b/data/hfopenllm_v2/meditsolutions/Llama-3.2-SUN-2.5B-chat/f45135b0-3c26-44b5-9922-a6c0817a172d.json
new file mode 100644
index 000000000..03c4a4de9
--- /dev/null
+++ b/data/hfopenllm_v2/meditsolutions/Llama-3.2-SUN-2.5B-chat/f45135b0-3c26-44b5-9922-a6c0817a172d.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/meditsolutions_Llama-3.2-SUN-2.5B-chat/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-3.2-SUN-2.5B-chat",
+    "id": "meditsolutions/Llama-3.2-SUN-2.5B-chat",
+    "developer": "meditsolutions",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 2.472
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5604
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3575
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.071
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2592
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3155
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1813
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/meditsolutions/Llama-3.2-SUN-HDIC-1B-Instruct/67eb0d6c-9086-4c80-8506-c3e1489f2673.json b/data/hfopenllm_v2/meditsolutions/Llama-3.2-SUN-HDIC-1B-Instruct/67eb0d6c-9086-4c80-8506-c3e1489f2673.json
new file mode 100644
index 000000000..9ccd525a8
--- /dev/null
+++ b/data/hfopenllm_v2/meditsolutions/Llama-3.2-SUN-HDIC-1B-Instruct/67eb0d6c-9086-4c80-8506-c3e1489f2673.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/meditsolutions_Llama-3.2-SUN-HDIC-1B-Instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-3.2-SUN-HDIC-1B-Instruct",
+    "id": "meditsolutions/Llama-3.2-SUN-HDIC-1B-Instruct",
+    "developer": "meditsolutions",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 1.498
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6827
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3508
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0619
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2366
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3594
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1687
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/meditsolutions/Llama-3.2-SUN-HDIC-1B-Instruct/ac6f2c5a-32b7-4553-acaa-e329f1916c85.json b/data/hfopenllm_v2/meditsolutions/Llama-3.2-SUN-HDIC-1B-Instruct/ac6f2c5a-32b7-4553-acaa-e329f1916c85.json
deleted file mode 100644
index 606c88e40..000000000
--- a/data/hfopenllm_v2/meditsolutions/Llama-3.2-SUN-HDIC-1B-Instruct/ac6f2c5a-32b7-4553-acaa-e329f1916c85.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/meditsolutions_Llama-3.2-SUN-HDIC-1B-Instruct/1762652580.344357",
-  "retrieved_timestamp": "1762652580.344363",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "meditsolutions/Llama-3.2-SUN-HDIC-1B-Instruct",
-    "developer": "meditsolutions",
-    "inference_platform": "unknown",
-    "id": "meditsolutions/Llama-3.2-SUN-HDIC-1B-Instruct",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 1.498
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6826631116548536
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3507731670753292
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.061933534743202415
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.23657718120805368
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3593645833333334
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.16871675531914893
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/meditsolutions/MSH-Lite-7B-v1-Bielik-v2.3-Instruct-Llama-Prune/79d3dc85-08f6-475c-ac2c-1ff32f5a089f.json b/data/hfopenllm_v2/meditsolutions/MSH-Lite-7B-v1-Bielik-v2.3-Instruct-Llama-Prune/79d3dc85-08f6-475c-ac2c-1ff32f5a089f.json
new file mode 100644
index 000000000..47159802e
--- /dev/null
+++ b/data/hfopenllm_v2/meditsolutions/MSH-Lite-7B-v1-Bielik-v2.3-Instruct-Llama-Prune/79d3dc85-08f6-475c-ac2c-1ff32f5a089f.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/meditsolutions_MSH-Lite-7B-v1-Bielik-v2.3-Instruct-Llama-Prune/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "MSH-Lite-7B-v1-Bielik-v2.3-Instruct-Llama-Prune",
+    "id": "meditsolutions/MSH-Lite-7B-v1-Bielik-v2.3-Instruct-Llama-Prune",
+    "developer": "meditsolutions",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.646
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3655
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4035
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0264
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3029
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4253
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.219
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/meditsolutions/MSH-Lite-7B-v1-Bielik-v2.3-Instruct-Llama-Prune/ff57f4fa-eb78-4ef4-9d92-9f160a1b936a.json b/data/hfopenllm_v2/meditsolutions/MSH-Lite-7B-v1-Bielik-v2.3-Instruct-Llama-Prune/ff57f4fa-eb78-4ef4-9d92-9f160a1b936a.json
deleted file mode 100644
index a46862178..000000000
--- a/data/hfopenllm_v2/meditsolutions/MSH-Lite-7B-v1-Bielik-v2.3-Instruct-Llama-Prune/ff57f4fa-eb78-4ef4-9d92-9f160a1b936a.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/meditsolutions_MSH-Lite-7B-v1-Bielik-v2.3-Instruct-Llama-Prune/1762652580.344661",
-  "retrieved_timestamp": "1762652580.344662",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "meditsolutions/MSH-Lite-7B-v1-Bielik-v2.3-Instruct-Llama-Prune",
-    "developer": "meditsolutions",
-    "inference_platform": "unknown",
-    "id": "meditsolutions/MSH-Lite-7B-v1-Bielik-v2.3-Instruct-Llama-Prune",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.646
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.36550020611976225
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4034845834509661
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.026435045317220542
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3028523489932886
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42534374999999996
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.21899933510638298
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/meditsolutions/MSH-v1-Bielik-v2.3-Instruct-MedIT-merge/4e9b3fa2-d3d2-4e4c-a1fa-c812f481f64a.json b/data/hfopenllm_v2/meditsolutions/MSH-v1-Bielik-v2.3-Instruct-MedIT-merge/4e9b3fa2-d3d2-4e4c-a1fa-c812f481f64a.json
new file mode 100644
index 000000000..555723348
--- /dev/null
+++ b/data/hfopenllm_v2/meditsolutions/MSH-v1-Bielik-v2.3-Instruct-MedIT-merge/4e9b3fa2-d3d2-4e4c-a1fa-c812f481f64a.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/meditsolutions_MSH-v1-Bielik-v2.3-Instruct-MedIT-merge/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "MSH-v1-Bielik-v2.3-Instruct-MedIT-merge",
+    "id": "meditsolutions/MSH-v1-Bielik-v2.3-Instruct-MedIT-merge",
+    "developer": "meditsolutions",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 11.169
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5814
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5672
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2077
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3456
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4385
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.35
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/meditsolutions/MSH-v1-Bielik-v2.3-Instruct-MedIT-merge/a7e4718c-c4cf-4c0f-b67f-fd12fa54e4ad.json b/data/hfopenllm_v2/meditsolutions/MSH-v1-Bielik-v2.3-Instruct-MedIT-merge/a7e4718c-c4cf-4c0f-b67f-fd12fa54e4ad.json
deleted file mode 100644
index 1e072e950..000000000
--- a/data/hfopenllm_v2/meditsolutions/MSH-v1-Bielik-v2.3-Instruct-MedIT-merge/a7e4718c-c4cf-4c0f-b67f-fd12fa54e4ad.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/meditsolutions_MSH-v1-Bielik-v2.3-Instruct-MedIT-merge/1762652580.344883",
-  "retrieved_timestamp": "1762652580.344884",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "meditsolutions/MSH-v1-Bielik-v2.3-Instruct-MedIT-merge",
-    "developer": "meditsolutions",
-    "inference_platform": "unknown",
-    "id": "meditsolutions/MSH-v1-Bielik-v2.3-Instruct-MedIT-merge",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 11.169
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5814217387642566
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5671722290858499
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.20770392749244712
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.34563758389261745
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.43845833333333334
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3499833776595745
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/meditsolutions/MedIT-Mesh-3B-Instruct/6e62a8a0-0bdf-4b6c-93de-593423dadd3a.json b/data/hfopenllm_v2/meditsolutions/MedIT-Mesh-3B-Instruct/6e62a8a0-0bdf-4b6c-93de-593423dadd3a.json
new file mode 100644
index 000000000..af35e21a0
--- /dev/null
+++ b/data/hfopenllm_v2/meditsolutions/MedIT-Mesh-3B-Instruct/6e62a8a0-0bdf-4b6c-93de-593423dadd3a.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/meditsolutions_MedIT-Mesh-3B-Instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "MedIT-Mesh-3B-Instruct",
+    "id": "meditsolutions/MedIT-Mesh-3B-Instruct",
+    "developer": "meditsolutions",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Phi3ForCausalLM",
+      "params_billions": 3.821
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5814
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5576
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2032
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3238
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4048
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4012
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/meditsolutions/MedIT-Mesh-3B-Instruct/89568570-298f-4dc5-9b7b-c9ce84d4010e.json b/data/hfopenllm_v2/meditsolutions/MedIT-Mesh-3B-Instruct/89568570-298f-4dc5-9b7b-c9ce84d4010e.json
deleted file mode 100644
index c1b2446f7..000000000
--- a/data/hfopenllm_v2/meditsolutions/MedIT-Mesh-3B-Instruct/89568570-298f-4dc5-9b7b-c9ce84d4010e.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/meditsolutions_MedIT-Mesh-3B-Instruct/1762652580.345099",
-  "retrieved_timestamp": "1762652580.345099",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "meditsolutions/MedIT-Mesh-3B-Instruct",
-    "developer": "meditsolutions",
-    "inference_platform": "unknown",
-    "id": "meditsolutions/MedIT-Mesh-3B-Instruct",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Phi3ForCausalLM",
-      "params_billions": 3.821
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5814217387642566
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5575523356865378
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.20317220543806647
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3238255033557047
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4047604166666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4011801861702128
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/meditsolutions/SmolLM2-MedIT-Upscale-2B/871131c1-295d-40a0-a396-09d24b880064.json b/data/hfopenllm_v2/meditsolutions/SmolLM2-MedIT-Upscale-2B/871131c1-295d-40a0-a396-09d24b880064.json
new file mode 100644
index 000000000..870bf4c0c
--- /dev/null
+++ b/data/hfopenllm_v2/meditsolutions/SmolLM2-MedIT-Upscale-2B/871131c1-295d-40a0-a396-09d24b880064.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/meditsolutions_SmolLM2-MedIT-Upscale-2B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "SmolLM2-MedIT-Upscale-2B",
+    "id": "meditsolutions/SmolLM2-MedIT-Upscale-2B",
+    "developer": "meditsolutions",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 2.114
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6429
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3551
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0559
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2643
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3314
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1971
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/meditsolutions/SmolLM2-MedIT-Upscale-2B/d78a23ac-c3f1-4ad5-bbd2-ea37faea455f.json b/data/hfopenllm_v2/meditsolutions/SmolLM2-MedIT-Upscale-2B/d78a23ac-c3f1-4ad5-bbd2-ea37faea455f.json
deleted file mode 100644
index 7673c4804..000000000
--- a/data/hfopenllm_v2/meditsolutions/SmolLM2-MedIT-Upscale-2B/d78a23ac-c3f1-4ad5-bbd2-ea37faea455f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/meditsolutions_SmolLM2-MedIT-Upscale-2B/1762652580.3453178",
-  "retrieved_timestamp": "1762652580.3453188",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "meditsolutions/SmolLM2-MedIT-Upscale-2B",
-    "developer": "meditsolutions",
-    "inference_platform": "unknown",
-    "id": "meditsolutions/SmolLM2-MedIT-Upscale-2B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 2.114
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6429207835210575
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3551122445928012
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.055891238670694864
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.26426174496644295
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.33136458333333335
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.19705784574468085
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/meetkai/functionary-small-v3.1/44eefbb2-22d4-4dff-889d-a87fc40b2eea.json b/data/hfopenllm_v2/meetkai/functionary-small-v3.1/44eefbb2-22d4-4dff-889d-a87fc40b2eea.json
new file mode 100644
index 000000000..f08479499
--- /dev/null
+++ b/data/hfopenllm_v2/meetkai/functionary-small-v3.1/44eefbb2-22d4-4dff-889d-a87fc40b2eea.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/meetkai_functionary-small-v3.1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "functionary-small-v3.1",
+    "id": "meetkai/functionary-small-v3.1",
+    "developer": "meetkai",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6275
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4982
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1571
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2886
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3834
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3349
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/meetkai/functionary-small-v3.1/7312a4c6-85e2-4cb3-9c3e-1dfc039d1c3a.json b/data/hfopenllm_v2/meetkai/functionary-small-v3.1/7312a4c6-85e2-4cb3-9c3e-1dfc039d1c3a.json
deleted file mode 100644
index a043f62c2..000000000
--- a/data/hfopenllm_v2/meetkai/functionary-small-v3.1/7312a4c6-85e2-4cb3-9c3e-1dfc039d1c3a.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/meetkai_functionary-small-v3.1/1762652580.345532",
-  "retrieved_timestamp": "1762652580.345533",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "meetkai/functionary-small-v3.1",
-    "developer": "meetkai",
-    "inference_platform": "unknown",
-    "id": "meetkai/functionary-small-v3.1",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6274584768414474
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4981781042779377
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.15709969788519637
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.28859060402684567
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3833645833333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.33485704787234044
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/meraGPT/mera-mix-4x7B/cd1de470-a174-4c08-9efe-a06d493dc4b2.json b/data/hfopenllm_v2/meraGPT/mera-mix-4x7B/cd1de470-a174-4c08-9efe-a06d493dc4b2.json
new file mode 100644
index 000000000..b69c8564f
--- /dev/null
+++ b/data/hfopenllm_v2/meraGPT/mera-mix-4x7B/cd1de470-a174-4c08-9efe-a06d493dc4b2.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/meraGPT_mera-mix-4x7B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "mera-mix-4x7B",
+    "id": "meraGPT/mera-mix-4x7B",
+    "developer": "meraGPT",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MixtralForCausalLM",
+      "params_billions": 24.154
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4832
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4019
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0536
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3045
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4057
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2748
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/mergekit-community/JAJUKA-WEWILLNEVERFORGETYOU-3B/c948d98a-af63-43d6-a7c9-9ee61654a239.json b/data/hfopenllm_v2/mergekit-community/JAJUKA-WEWILLNEVERFORGETYOU-3B/c948d98a-af63-43d6-a7c9-9ee61654a239.json
deleted file mode 100644
index eda5652e9..000000000
--- a/data/hfopenllm_v2/mergekit-community/JAJUKA-WEWILLNEVERFORGETYOU-3B/c948d98a-af63-43d6-a7c9-9ee61654a239.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/mergekit-community_JAJUKA-WEWILLNEVERFORGETYOU-3B/1762652580.346048",
-  "retrieved_timestamp": "1762652580.346048",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "mergekit-community/JAJUKA-WEWILLNEVERFORGETYOU-3B",
-    "developer": "mergekit-community",
-    "inference_platform": "unknown",
-    "id": "mergekit-community/JAJUKA-WEWILLNEVERFORGETYOU-3B",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 3.213
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.49406907006742107
-      }
-    },
-    {
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-      "metric_config": {
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diff --git a/data/hfopenllm_v2/mergekit-community/JAJUKA-WEWILLNEVERFORGETYOU-3B/fdb55a14-0697-4775-8358-fed202498b4f.json b/data/hfopenllm_v2/mergekit-community/JAJUKA-WEWILLNEVERFORGETYOU-3B/fdb55a14-0697-4775-8358-fed202498b4f.json
new file mode 100644
index 000000000..a962d2f5e
--- /dev/null
+++ b/data/hfopenllm_v2/mergekit-community/JAJUKA-WEWILLNEVERFORGETYOU-3B/fdb55a14-0697-4775-8358-fed202498b4f.json
@@ -0,0 +1,132 @@
+{
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+        "hf_repo": "SaylorTwift/bbh"
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+        "max_score": 1.0
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
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+        "hf_repo": "Idavidrein/gpqa"
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+        "evaluation_description": "Accuracy on GPQA",
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+        "score_type": "continuous",
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
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+        "evaluation_description": "Accuracy on MUSR",
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+        "score_type": "continuous",
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
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+      "score_details": {
+        "score": 0.3033
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+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/mergekit-community/SuperQwen-2.5-1.5B/c069a224-638a-4cad-a9ad-e4f8579e8c15.json b/data/hfopenllm_v2/mergekit-community/SuperQwen-2.5-1.5B/c069a224-638a-4cad-a9ad-e4f8579e8c15.json
new file mode 100644
index 000000000..1f4baa35d
--- /dev/null
+++ b/data/hfopenllm_v2/mergekit-community/SuperQwen-2.5-1.5B/c069a224-638a-4cad-a9ad-e4f8579e8c15.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/mergekit-community_SuperQwen-2.5-1.5B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "SuperQwen-2.5-1.5B",
+    "id": "mergekit-community/SuperQwen-2.5-1.5B",
+    "developer": "mergekit-community",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 1.777
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1336
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2907
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+    },
+    {
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+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
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+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3355
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
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+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/mergekit-community/VirtuosoSmall-InstructModelStock/10e5c103-f25f-45bb-bfe6-a22876cffe87.json b/data/hfopenllm_v2/mergekit-community/VirtuosoSmall-InstructModelStock/10e5c103-f25f-45bb-bfe6-a22876cffe87.json
new file mode 100644
index 000000000..7af838cdf
--- /dev/null
+++ b/data/hfopenllm_v2/mergekit-community/VirtuosoSmall-InstructModelStock/10e5c103-f25f-45bb-bfe6-a22876cffe87.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/mergekit-community_VirtuosoSmall-InstructModelStock/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "VirtuosoSmall-InstructModelStock",
+    "id": "mergekit-community/VirtuosoSmall-InstructModelStock",
+    "developer": "mergekit-community",
+    "inference_platform": "unknown",
+    "additional_details": {
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+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.766
+    }
+  },
+  "evaluation_results": [
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+      "evaluation_name": "IFEval",
+      "source_data": {
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+        "source_type": "hf_dataset",
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+      },
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+        "evaluation_description": "Accuracy on IFEval",
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+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6518
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
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+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+    },
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
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+        "score_type": "continuous",
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+        "max_score": 1.0
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+        "score": 0.5421
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/mergekit-community/VirtuosoSmall-InstructModelStock/8c7e09ef-ac37-4765-9f1e-a1b17ff4b084.json b/data/hfopenllm_v2/mergekit-community/VirtuosoSmall-InstructModelStock/8c7e09ef-ac37-4765-9f1e-a1b17ff4b084.json
deleted file mode 100644
index c4b78c755..000000000
--- a/data/hfopenllm_v2/mergekit-community/VirtuosoSmall-InstructModelStock/8c7e09ef-ac37-4765-9f1e-a1b17ff4b084.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "source_data": [
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "mergekit-community/VirtuosoSmall-InstructModelStock",
-    "developer": "mergekit-community",
-    "inference_platform": "unknown",
-    "id": "mergekit-community/VirtuosoSmall-InstructModelStock",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 14.766
-    }
-  },
-  "evaluation_results": [
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-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6517899193567194
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3825503355704698
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-}
diff --git a/data/hfopenllm_v2/mergekit-community/diabolic6045_ELN-AOC-CAIN/a9ecca9a-c5d4-45b2-a403-e74a98a46322.json b/data/hfopenllm_v2/mergekit-community/diabolic6045_ELN-AOC-CAIN/a9ecca9a-c5d4-45b2-a403-e74a98a46322.json
new file mode 100644
index 000000000..2b83b90c9
--- /dev/null
+++ b/data/hfopenllm_v2/mergekit-community/diabolic6045_ELN-AOC-CAIN/a9ecca9a-c5d4-45b2-a403-e74a98a46322.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/mergekit-community_diabolic6045_ELN-AOC-CAIN/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "diabolic6045_ELN-AOC-CAIN",
+    "id": "mergekit-community/diabolic6045_ELN-AOC-CAIN",
+    "developer": "mergekit-community",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 1.236
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+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0862
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+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3126
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0121
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2634
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3658
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1191
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/mergekit-community/diabolic6045_ELN-AOC-CAIN/c87fbaff-133e-4312-87bf-d2fa397d66c4.json b/data/hfopenllm_v2/mergekit-community/diabolic6045_ELN-AOC-CAIN/c87fbaff-133e-4312-87bf-d2fa397d66c4.json
deleted file mode 100644
index 05a94677f..000000000
--- a/data/hfopenllm_v2/mergekit-community/diabolic6045_ELN-AOC-CAIN/c87fbaff-133e-4312-87bf-d2fa397d66c4.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/mergekit-community_diabolic6045_ELN-AOC-CAIN/1762652580.346791",
-  "retrieved_timestamp": "1762652580.346791",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "mergekit-community/diabolic6045_ELN-AOC-CAIN",
-    "developer": "mergekit-community",
-    "inference_platform": "unknown",
-    "id": "mergekit-community/diabolic6045_ELN-AOC-CAIN",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 1.236
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.0861547361002141
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.31256779393862577
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.012084592145015106
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2634228187919463
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.36575
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11909906914893617
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/mergekit-community/mergekit-dare_ties-ajgjgea/630d8a60-03b7-4550-82f4-e879b2e01c6c.json b/data/hfopenllm_v2/mergekit-community/mergekit-dare_ties-ajgjgea/630d8a60-03b7-4550-82f4-e879b2e01c6c.json
new file mode 100644
index 000000000..afddca479
--- /dev/null
+++ b/data/hfopenllm_v2/mergekit-community/mergekit-dare_ties-ajgjgea/630d8a60-03b7-4550-82f4-e879b2e01c6c.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/mergekit-community_mergekit-dare_ties-ajgjgea/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "mergekit-dare_ties-ajgjgea",
+    "id": "mergekit-community/mergekit-dare_ties-ajgjgea",
+    "developer": "mergekit-community",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 1.498
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5263
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3495
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0642
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2643
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3289
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1744
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/mergekit-community/mergekit-dare_ties-ajgjgea/69409961-b60d-4616-8a8e-8d0a9c6c966f.json b/data/hfopenllm_v2/mergekit-community/mergekit-dare_ties-ajgjgea/69409961-b60d-4616-8a8e-8d0a9c6c966f.json
deleted file mode 100644
index 9dbd95c11..000000000
--- a/data/hfopenllm_v2/mergekit-community/mergekit-dare_ties-ajgjgea/69409961-b60d-4616-8a8e-8d0a9c6c966f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/mergekit-community_mergekit-dare_ties-ajgjgea/1762652580.347229",
-  "retrieved_timestamp": "1762652580.34723",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "mergekit-community/mergekit-dare_ties-ajgjgea",
-    "developer": "mergekit-community",
-    "inference_platform": "unknown",
-    "id": "mergekit-community/mergekit-dare_ties-ajgjgea",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 1.498
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5263423272472595
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3494703687455365
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.06419939577039276
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.26426174496644295
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3289166666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.17436835106382978
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/mergekit-community/mergekit-della-zgowfmf/206b5a96-ae07-41fd-822f-436d49c57dcb.json b/data/hfopenllm_v2/mergekit-community/mergekit-della-zgowfmf/206b5a96-ae07-41fd-822f-436d49c57dcb.json
new file mode 100644
index 000000000..160d88a78
--- /dev/null
+++ b/data/hfopenllm_v2/mergekit-community/mergekit-della-zgowfmf/206b5a96-ae07-41fd-822f-436d49c57dcb.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/mergekit-community_mergekit-della-zgowfmf/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "mergekit-della-zgowfmf",
+    "id": "mergekit-community/mergekit-della-zgowfmf",
+    "developer": "mergekit-community",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.766
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4828
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6591
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3618
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3901
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4834
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5415
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/mergekit-community/mergekit-della-zgowfmf/2989b505-bfe2-4ca6-9445-af450ad9bee3.json b/data/hfopenllm_v2/mergekit-community/mergekit-della-zgowfmf/2989b505-bfe2-4ca6-9445-af450ad9bee3.json
deleted file mode 100644
index e3159992f..000000000
--- a/data/hfopenllm_v2/mergekit-community/mergekit-della-zgowfmf/2989b505-bfe2-4ca6-9445-af450ad9bee3.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/mergekit-community_mergekit-della-zgowfmf/1762652580.347496",
-  "retrieved_timestamp": "1762652580.347497",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "mergekit-community/mergekit-della-zgowfmf",
-    "developer": "mergekit-community",
-    "inference_platform": "unknown",
-    "id": "mergekit-community/mergekit-della-zgowfmf",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 14.766
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4827535383892516
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6590790528029254
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.36178247734138974
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-      },
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diff --git a/data/hfopenllm_v2/mergekit-community/mergekit-model_stock-azgztvm/5a607a63-42bc-4f2b-af2f-4126234516d0.json b/data/hfopenllm_v2/mergekit-community/mergekit-model_stock-azgztvm/5a607a63-42bc-4f2b-af2f-4126234516d0.json
deleted file mode 100644
index 11f1a7a6e..000000000
--- a/data/hfopenllm_v2/mergekit-community/mergekit-model_stock-azgztvm/5a607a63-42bc-4f2b-af2f-4126234516d0.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/mergekit-community_mergekit-model_stock-azgztvm/1762652580.347734",
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-  "source_data": [
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-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
-    "name": "mergekit-community/mergekit-model_stock-azgztvm",
-    "developer": "mergekit-community",
-    "inference_platform": "unknown",
-    "id": "mergekit-community/mergekit-model_stock-azgztvm",
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-        "max_score": 1
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-        "lower_is_better": false,
-        "score_type": "continuous",
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-        "max_score": 1
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-        "lower_is_better": false,
-        "score_type": "continuous",
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-        "max_score": 1
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diff --git a/data/hfopenllm_v2/mergekit-community/mergekit-model_stock-azgztvm/702d2120-5301-4e03-bb0f-1f8ab19e522a.json b/data/hfopenllm_v2/mergekit-community/mergekit-model_stock-azgztvm/702d2120-5301-4e03-bb0f-1f8ab19e522a.json
new file mode 100644
index 000000000..46f675fa0
--- /dev/null
+++ b/data/hfopenllm_v2/mergekit-community/mergekit-model_stock-azgztvm/702d2120-5301-4e03-bb0f-1f8ab19e522a.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/mergekit-community_mergekit-model_stock-azgztvm/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "mergekit-model_stock-azgztvm",
+    "id": "mergekit-community/mergekit-model_stock-azgztvm",
+    "developer": "mergekit-community",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.766
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5062
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6543
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4373
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3817
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.473
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5406
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/mergekit-community/mergekit-slerp-fmrazcr/5fd04483-684e-4991-adea-ca5496e05208.json b/data/hfopenllm_v2/mergekit-community/mergekit-slerp-fmrazcr/5fd04483-684e-4991-adea-ca5496e05208.json
deleted file mode 100644
index 031cc1de2..000000000
--- a/data/hfopenllm_v2/mergekit-community/mergekit-slerp-fmrazcr/5fd04483-684e-4991-adea-ca5496e05208.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "source_data": [
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-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "mergekit-community/mergekit-slerp-fmrazcr",
-    "developer": "mergekit-community",
-    "inference_platform": "unknown",
-    "id": "mergekit-community/mergekit-slerp-fmrazcr",
-    "additional_details": {
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-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
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-      "evaluation_name": "IFEval",
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-        "lower_is_better": false,
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-        "min_score": 0,
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-    {
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-      "metric_config": {
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diff --git a/data/hfopenllm_v2/mergekit-community/mergekit-slerp-fmrazcr/61e39700-c237-49fc-baef-3fa573b3b0c6.json b/data/hfopenllm_v2/mergekit-community/mergekit-slerp-fmrazcr/61e39700-c237-49fc-baef-3fa573b3b0c6.json
new file mode 100644
index 000000000..0b718a9e2
--- /dev/null
+++ b/data/hfopenllm_v2/mergekit-community/mergekit-slerp-fmrazcr/61e39700-c237-49fc-baef-3fa573b3b0c6.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/mergekit-community_mergekit-slerp-fmrazcr/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "mergekit-slerp-fmrazcr",
+    "id": "mergekit-community/mergekit-slerp-fmrazcr",
+    "developer": "mergekit-community",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4174
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+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5342
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1193
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+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3112
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4105
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3777
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/mergekit-community/mergekit-ties-rraxdhv/8892ab84-750d-494f-9f87-ad28e73cf364.json b/data/hfopenllm_v2/mergekit-community/mergekit-ties-rraxdhv/8892ab84-750d-494f-9f87-ad28e73cf364.json
new file mode 100644
index 000000000..a58721bfd
--- /dev/null
+++ b/data/hfopenllm_v2/mergekit-community/mergekit-ties-rraxdhv/8892ab84-750d-494f-9f87-ad28e73cf364.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/mergekit-community_mergekit-ties-rraxdhv/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "mergekit-ties-rraxdhv",
+    "id": "mergekit-community/mergekit-ties-rraxdhv",
+    "developer": "mergekit-community",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Gemma2ForCausalLM",
+      "params_billions": 9.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1123
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5184
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.04
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3079
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4202
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.391
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/mergekit-community/mergekit-ties-rraxdhv/bb3ccfe9-1ae3-49ec-9305-9150edaf8527.json b/data/hfopenllm_v2/mergekit-community/mergekit-ties-rraxdhv/bb3ccfe9-1ae3-49ec-9305-9150edaf8527.json
deleted file mode 100644
index 7dfdb2d52..000000000
--- a/data/hfopenllm_v2/mergekit-community/mergekit-ties-rraxdhv/bb3ccfe9-1ae3-49ec-9305-9150edaf8527.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/mergekit-community_mergekit-ties-rraxdhv/1762652580.348219",
-  "retrieved_timestamp": "1762652580.3482199",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "mergekit-community/mergekit-ties-rraxdhv",
-    "developer": "mergekit-community",
-    "inference_platform": "unknown",
-    "id": "mergekit-community/mergekit-ties-rraxdhv",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Gemma2ForCausalLM",
-      "params_billions": 9.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11230756614671294
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5183590984128971
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30788590604026844
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42019791666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.39095744680851063
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/mergekit-community/mergekit-ties-ykqemwr/538a2eb7-34e4-4e78-a382-60a13710096e.json b/data/hfopenllm_v2/mergekit-community/mergekit-ties-ykqemwr/538a2eb7-34e4-4e78-a382-60a13710096e.json
new file mode 100644
index 000000000..929e2d82b
--- /dev/null
+++ b/data/hfopenllm_v2/mergekit-community/mergekit-ties-ykqemwr/538a2eb7-34e4-4e78-a382-60a13710096e.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/mergekit-community_mergekit-ties-ykqemwr/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "mergekit-ties-ykqemwr",
+    "id": "mergekit-community/mergekit-ties-ykqemwr",
+    "developer": "mergekit-community",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 12.248
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.36
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5455
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1224
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3221
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4198
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3734
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/mergekit-community/mergekit-ties-ykqemwr/83a86bdd-4605-44a5-8168-ce88242c4ee6.json b/data/hfopenllm_v2/mergekit-community/mergekit-ties-ykqemwr/83a86bdd-4605-44a5-8168-ce88242c4ee6.json
deleted file mode 100644
index f4d132ac8..000000000
--- a/data/hfopenllm_v2/mergekit-community/mergekit-ties-ykqemwr/83a86bdd-4605-44a5-8168-ce88242c4ee6.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/mergekit-community_mergekit-ties-ykqemwr/1762652580.3485382",
-  "retrieved_timestamp": "1762652580.3485398",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "mergekit-community/mergekit-ties-ykqemwr",
-    "developer": "mergekit-community",
-    "inference_platform": "unknown",
-    "id": "mergekit-community/mergekit-ties-ykqemwr",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 12.248
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.35995491961329273
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5455496677885336
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.12235649546827794
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3221476510067114
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4197916666666666
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3734208776595745
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/mergekit-community/sexeh_time_testing/79cd4642-8b10-416b-8a24-e3e3dc99b28f.json b/data/hfopenllm_v2/mergekit-community/sexeh_time_testing/79cd4642-8b10-416b-8a24-e3e3dc99b28f.json
deleted file mode 100644
index b0080753c..000000000
--- a/data/hfopenllm_v2/mergekit-community/sexeh_time_testing/79cd4642-8b10-416b-8a24-e3e3dc99b28f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/mergekit-community_sexeh_time_testing/1762652580.348824",
-  "retrieved_timestamp": "1762652580.348825",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "mergekit-community/sexeh_time_testing",
-    "developer": "mergekit-community",
-    "inference_platform": "unknown",
-    "id": "mergekit-community/sexeh_time_testing",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7329463601023063
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5241321549202608
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.08987915407854985
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2911073825503356
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.36190625000000004
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.36668882978723405
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/mergekit-community/sexeh_time_testing/a041629e-8ed8-4a6c-95ee-98e759501e19.json b/data/hfopenllm_v2/mergekit-community/sexeh_time_testing/a041629e-8ed8-4a6c-95ee-98e759501e19.json
new file mode 100644
index 000000000..959317552
--- /dev/null
+++ b/data/hfopenllm_v2/mergekit-community/sexeh_time_testing/a041629e-8ed8-4a6c-95ee-98e759501e19.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/mergekit-community_sexeh_time_testing/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "sexeh_time_testing",
+    "id": "mergekit-community/sexeh_time_testing",
+    "developer": "mergekit-community",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7329
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5241
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0899
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2911
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3619
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3667
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/meta-llama/Llama-2-13b-chat-hf/09f05984-5815-4b3d-bc73-83ea1e5ecc27.json b/data/hfopenllm_v2/meta-llama/Llama-2-13b-chat-hf/09f05984-5815-4b3d-bc73-83ea1e5ecc27.json
new file mode 100644
index 000000000..29fbff778
--- /dev/null
+++ b/data/hfopenllm_v2/meta-llama/Llama-2-13b-chat-hf/09f05984-5815-4b3d-bc73-83ea1e5ecc27.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/meta-llama_Llama-2-13b-chat-hf/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-2-13b-chat-hf",
+    "id": "meta-llama/Llama-2-13b-chat-hf",
+    "developer": "meta-llama",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 13.016
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3985
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3343
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0136
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2315
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4007
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1923
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/meta-llama/Llama-2-13b-chat-hf/1d97c368-3e12-43d4-afb2-e3977bf7cf35.json b/data/hfopenllm_v2/meta-llama/Llama-2-13b-chat-hf/1d97c368-3e12-43d4-afb2-e3977bf7cf35.json
deleted file mode 100644
index 139667c56..000000000
--- a/data/hfopenllm_v2/meta-llama/Llama-2-13b-chat-hf/1d97c368-3e12-43d4-afb2-e3977bf7cf35.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/meta-llama_Llama-2-13b-chat-hf/1762652580.34908",
-  "retrieved_timestamp": "1762652580.349081",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "meta-llama/Llama-2-13b-chat-hf",
-    "developer": "meta-llama",
-    "inference_platform": "unknown",
-    "id": "meta-llama/Llama-2-13b-chat-hf",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 13.016
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.398472719052115
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.33427367066714186
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.013595166163141994
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.23154362416107382
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.40072916666666664
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.19232047872340424
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/meta-llama/Llama-2-13b-hf/6535524e-f8cf-4f2f-9d89-9ba70aedac91.json b/data/hfopenllm_v2/meta-llama/Llama-2-13b-hf/6535524e-f8cf-4f2f-9d89-9ba70aedac91.json
new file mode 100644
index 000000000..50a1407eb
--- /dev/null
+++ b/data/hfopenllm_v2/meta-llama/Llama-2-13b-hf/6535524e-f8cf-4f2f-9d89-9ba70aedac91.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/meta-llama_Llama-2-13b-hf/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-2-13b-hf",
+    "id": "meta-llama/Llama-2-13b-hf",
+    "developer": "meta-llama",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 13.016
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2482
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4126
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0151
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.281
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3538
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2378
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/meta-llama/Llama-2-70b-chat-hf/08ea4f9d-0e3c-4a8b-85e6-075290d30ba4.json b/data/hfopenllm_v2/meta-llama/Llama-2-70b-chat-hf/08ea4f9d-0e3c-4a8b-85e6-075290d30ba4.json
new file mode 100644
index 000000000..741023f42
--- /dev/null
+++ b/data/hfopenllm_v2/meta-llama/Llama-2-70b-chat-hf/08ea4f9d-0e3c-4a8b-85e6-075290d30ba4.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/meta-llama_Llama-2-70b-chat-hf/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-2-70b-chat-hf",
+    "id": "meta-llama/Llama-2-70b-chat-hf",
+    "developer": "meta-llama",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 68.977
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4958
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3042
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0295
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2643
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3687
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2433
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/meta-llama/Llama-2-70b-chat-hf/51411c24-49a4-48a7-9079-1f8c06e5318f.json b/data/hfopenllm_v2/meta-llama/Llama-2-70b-chat-hf/51411c24-49a4-48a7-9079-1f8c06e5318f.json
deleted file mode 100644
index 38a0cace8..000000000
--- a/data/hfopenllm_v2/meta-llama/Llama-2-70b-chat-hf/51411c24-49a4-48a7-9079-1f8c06e5318f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/meta-llama_Llama-2-70b-chat-hf/1762652580.3497758",
-  "retrieved_timestamp": "1762652580.349777",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "meta-llama/Llama-2-70b-chat-hf",
-    "developer": "meta-llama",
-    "inference_platform": "unknown",
-    "id": "meta-llama/Llama-2-70b-chat-hf",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 68.977
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.49579227560650185
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30424741461642657
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.02945619335347432
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.26426174496644295
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3686666666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2432679521276596
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/meta-llama/Llama-2-70b-hf/631f0a1f-a6f5-46f6-9aa0-31ac9764c086.json b/data/hfopenllm_v2/meta-llama/Llama-2-70b-hf/631f0a1f-a6f5-46f6-9aa0-31ac9764c086.json
new file mode 100644
index 000000000..d8c229621
--- /dev/null
+++ b/data/hfopenllm_v2/meta-llama/Llama-2-70b-hf/631f0a1f-a6f5-46f6-9aa0-31ac9764c086.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/meta-llama_Llama-2-70b-hf/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-2-70b-hf",
+    "id": "meta-llama/Llama-2-70b-hf",
+    "developer": "meta-llama",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 68.977
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2407
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+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5473
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0325
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3029
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4124
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3718
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/meta-llama/Llama-2-7b-chat-hf/3c870b5c-ab3f-4a21-836a-655d0e30efb9.json b/data/hfopenllm_v2/meta-llama/Llama-2-7b-chat-hf/3c870b5c-ab3f-4a21-836a-655d0e30efb9.json
deleted file mode 100644
index 12dbc5840..000000000
--- a/data/hfopenllm_v2/meta-llama/Llama-2-7b-chat-hf/3c870b5c-ab3f-4a21-836a-655d0e30efb9.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/meta-llama_Llama-2-7b-chat-hf/1762652580.350235",
-  "retrieved_timestamp": "1762652580.350236",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "meta-llama/Llama-2-7b-chat-hf",
-    "developer": "meta-llama",
-    "inference_platform": "unknown",
-    "id": "meta-llama/Llama-2-7b-chat-hf",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 6.738
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3986478100329348
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3113546355002185
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.019637462235649546
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2533557046979866
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3675520833333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.16879986702127658
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/meta-llama/Llama-2-7b-chat-hf/b771f6db-7516-4423-9010-3467db0e26e3.json b/data/hfopenllm_v2/meta-llama/Llama-2-7b-chat-hf/b771f6db-7516-4423-9010-3467db0e26e3.json
new file mode 100644
index 000000000..4c366b7ee
--- /dev/null
+++ b/data/hfopenllm_v2/meta-llama/Llama-2-7b-chat-hf/b771f6db-7516-4423-9010-3467db0e26e3.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/meta-llama_Llama-2-7b-chat-hf/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-2-7b-chat-hf",
+    "id": "meta-llama/Llama-2-7b-chat-hf",
+    "developer": "meta-llama",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 6.738
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3986
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3114
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0196
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2534
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3676
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1688
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/meta-llama/Llama-2-7b-hf/cf580dfb-2924-4c4b-9352-394275b959bd.json b/data/hfopenllm_v2/meta-llama/Llama-2-7b-hf/cf580dfb-2924-4c4b-9352-394275b959bd.json
new file mode 100644
index 000000000..009ce4f17
--- /dev/null
+++ b/data/hfopenllm_v2/meta-llama/Llama-2-7b-hf/cf580dfb-2924-4c4b-9352-394275b959bd.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/meta-llama_Llama-2-7b-hf/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-2-7b-hf",
+    "id": "meta-llama/Llama-2-7b-hf",
+    "developer": "meta-llama",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 6.738
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2519
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3496
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0174
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2668
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3701
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1861
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/meta-llama/Llama-3.1-70B-Instruct/5623efdd-2f43-49d3-9e89-21432db474f4.json b/data/hfopenllm_v2/meta-llama/Llama-3.1-70B-Instruct/5623efdd-2f43-49d3-9e89-21432db474f4.json
deleted file mode 100644
index 5f120adb8..000000000
--- a/data/hfopenllm_v2/meta-llama/Llama-3.1-70B-Instruct/5623efdd-2f43-49d3-9e89-21432db474f4.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/meta-llama_Llama-3.1-70B-Instruct/1762652580.35089",
-  "retrieved_timestamp": "1762652580.350891",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "meta-llama/Llama-3.1-70B-Instruct",
-    "developer": "meta-llama",
-    "inference_platform": "unknown",
-    "id": "meta-llama/Llama-3.1-70B-Instruct",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 70.554
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.8668854195756149
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6917287453663654
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3806646525679758
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3565436241610738
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.45806250000000004
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5309175531914894
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/meta-llama/Llama-3.1-70B-Instruct/ba549fe6-7718-4abf-a610-7e0f48611483.json b/data/hfopenllm_v2/meta-llama/Llama-3.1-70B-Instruct/ba549fe6-7718-4abf-a610-7e0f48611483.json
new file mode 100644
index 000000000..772844f47
--- /dev/null
+++ b/data/hfopenllm_v2/meta-llama/Llama-3.1-70B-Instruct/ba549fe6-7718-4abf-a610-7e0f48611483.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/meta-llama_Llama-3.1-70B-Instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-3.1-70B-Instruct",
+    "id": "meta-llama/Llama-3.1-70B-Instruct",
+    "developer": "meta-llama",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 70.554
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.8669
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6917
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/meta-llama/Llama-3.1-70B/b92440b1-78a9-4288-a432-f057f2b04a2f.json b/data/hfopenllm_v2/meta-llama/Llama-3.1-70B/b92440b1-78a9-4288-a432-f057f2b04a2f.json
new file mode 100644
index 000000000..a94baa730
--- /dev/null
+++ b/data/hfopenllm_v2/meta-llama/Llama-3.1-70B/b92440b1-78a9-4288-a432-f057f2b04a2f.json
@@ -0,0 +1,132 @@
+{
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+    "developer": "meta-llama",
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+    "additional_details": {
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+      "params_billions": 70.554
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+      },
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+        "evaluation_description": "Exact Match on MATH Level 5",
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+        "hf_repo": "TAUR-Lab/MuSR"
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+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/meta-llama/Llama-3.1-8B-Instruct/838f3932-edf2-4f72-9238-981d1aadc771.json b/data/hfopenllm_v2/meta-llama/Llama-3.1-8B-Instruct/838f3932-edf2-4f72-9238-981d1aadc771.json
new file mode 100644
index 000000000..f3e5eb24a
--- /dev/null
+++ b/data/hfopenllm_v2/meta-llama/Llama-3.1-8B-Instruct/838f3932-edf2-4f72-9238-981d1aadc771.json
@@ -0,0 +1,132 @@
+{
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+  "source_metadata": {
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+    "source_type": "documentation",
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+    "evaluator_relationship": "third_party"
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+    "name": "Llama-3.1-8B-Instruct",
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+    "developer": "meta-llama",
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+    "additional_details": {
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+      "architecture": "LlamaForCausalLM",
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+      "source_data": {
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+        "hf_repo": "SaylorTwift/bbh"
+      },
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+        "evaluation_description": "Accuracy on BBH",
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+        "max_score": 1.0
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+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
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+        "evaluation_description": "Exact Match on MATH Level 5",
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+        "hf_repo": "TAUR-Lab/MuSR"
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+        "hf_repo": "TIGER-Lab/MMLU-Pro"
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+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/meta-llama/Llama-3.1-8B-Instruct/b5009142-e716-45b2-877e-9259a3a705da.json b/data/hfopenllm_v2/meta-llama/Llama-3.1-8B-Instruct/b5009142-e716-45b2-877e-9259a3a705da.json
deleted file mode 100644
index 9156c1c91..000000000
--- a/data/hfopenllm_v2/meta-llama/Llama-3.1-8B-Instruct/b5009142-e716-45b2-877e-9259a3a705da.json
+++ /dev/null
@@ -1,105 +0,0 @@
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-    }
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diff --git a/data/hfopenllm_v2/meta-llama/Llama-3.1-8B/61e933b2-5cd1-4f08-8a9e-5b06ef54b6d5.json b/data/hfopenllm_v2/meta-llama/Llama-3.1-8B/61e933b2-5cd1-4f08-8a9e-5b06ef54b6d5.json
new file mode 100644
index 000000000..b2fd3607e
--- /dev/null
+++ b/data/hfopenllm_v2/meta-llama/Llama-3.1-8B/61e933b2-5cd1-4f08-8a9e-5b06ef54b6d5.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/meta-llama_Llama-3.1-8B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-3.1-8B",
+    "id": "meta-llama/Llama-3.1-8B",
+    "developer": "meta-llama",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
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+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+    },
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
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+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3104
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3812
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+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3288
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/meta-llama/Llama-3.2-1B-Instruct/0b307c78-94c7-418f-bc47-5106b81c30de.json b/data/hfopenllm_v2/meta-llama/Llama-3.2-1B-Instruct/0b307c78-94c7-418f-bc47-5106b81c30de.json
new file mode 100644
index 000000000..f3ef3bdee
--- /dev/null
+++ b/data/hfopenllm_v2/meta-llama/Llama-3.2-1B-Instruct/0b307c78-94c7-418f-bc47-5106b81c30de.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/meta-llama_Llama-3.2-1B-Instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-3.2-1B-Instruct",
+    "id": "meta-llama/Llama-3.2-1B-Instruct",
+    "developer": "meta-llama",
+    "inference_platform": "unknown",
+    "additional_details": {
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+      "architecture": "LlamaForCausalLM",
+      "params_billions": 1.24
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+  "evaluation_results": [
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
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+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5698
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+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3497
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0702
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2752
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3329
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1682
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/meta-llama/Llama-3.2-1B-Instruct/b21f94af-3dfd-42f6-a380-3c5faebc90d8.json b/data/hfopenllm_v2/meta-llama/Llama-3.2-1B-Instruct/b21f94af-3dfd-42f6-a380-3c5faebc90d8.json
deleted file mode 100644
index 88341fcf0..000000000
--- a/data/hfopenllm_v2/meta-llama/Llama-3.2-1B-Instruct/b21f94af-3dfd-42f6-a380-3c5faebc90d8.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/meta-llama_Llama-3.2-1B-Instruct/1762652580.351711",
-  "retrieved_timestamp": "1762652580.351712",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "meta-llama/Llama-3.2-1B-Instruct",
-    "developer": "meta-llama",
-    "inference_platform": "unknown",
-    "id": "meta-llama/Llama-3.2-1B-Instruct",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 1.24
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5698313807364459
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.34968498061768266
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.0702416918429003
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2751677852348993
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3328541666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.16821808510638298
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/meta-llama/Llama-3.2-1B/18783694-3e7b-4d06-9378-5a3fa4a7a0a2.json b/data/hfopenllm_v2/meta-llama/Llama-3.2-1B/18783694-3e7b-4d06-9378-5a3fa4a7a0a2.json
new file mode 100644
index 000000000..c0d6f09c5
--- /dev/null
+++ b/data/hfopenllm_v2/meta-llama/Llama-3.2-1B/18783694-3e7b-4d06-9378-5a3fa4a7a0a2.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/meta-llama_Llama-3.2-1B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-3.2-1B",
+    "id": "meta-llama/Llama-3.2-1B",
+    "developer": "meta-llama",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 1.24
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1478
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3115
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0121
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2282
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3447
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1203
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/meta-llama/Llama-3.2-3B-Instruct/dab922e5-1b46-4a90-b75c-1b26cd6cc6d3.json b/data/hfopenllm_v2/meta-llama/Llama-3.2-3B-Instruct/dab922e5-1b46-4a90-b75c-1b26cd6cc6d3.json
new file mode 100644
index 000000000..cad18f268
--- /dev/null
+++ b/data/hfopenllm_v2/meta-llama/Llama-3.2-3B-Instruct/dab922e5-1b46-4a90-b75c-1b26cd6cc6d3.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/meta-llama_Llama-3.2-3B-Instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-3.2-3B-Instruct",
+    "id": "meta-llama/Llama-3.2-3B-Instruct",
+    "developer": "meta-llama",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 3.213
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7393
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.461
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1767
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2785
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3529
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3195
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/meta-llama/Llama-3.2-3B-Instruct/ec976588-9788-45e0-ae89-4682e3c8799a.json b/data/hfopenllm_v2/meta-llama/Llama-3.2-3B-Instruct/ec976588-9788-45e0-ae89-4682e3c8799a.json
deleted file mode 100644
index fc5516bca..000000000
--- a/data/hfopenllm_v2/meta-llama/Llama-3.2-3B-Instruct/ec976588-9788-45e0-ae89-4682e3c8799a.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/meta-llama_Llama-3.2-3B-Instruct/1762652580.352124",
-  "retrieved_timestamp": "1762652580.352124",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "meta-llama/Llama-3.2-3B-Instruct",
-    "developer": "meta-llama",
-    "inference_platform": "unknown",
-    "id": "meta-llama/Llama-3.2-3B-Instruct",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 3.213
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7393161256576994
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4610070239466069
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.17673716012084592
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2785234899328859
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3528541666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3194813829787234
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/meta-llama/Llama-3.2-3B/8cfa1f00-3b26-4d75-9b0a-0dea65e2e352.json b/data/hfopenllm_v2/meta-llama/Llama-3.2-3B/8cfa1f00-3b26-4d75-9b0a-0dea65e2e352.json
new file mode 100644
index 000000000..b00c2e441
--- /dev/null
+++ b/data/hfopenllm_v2/meta-llama/Llama-3.2-3B/8cfa1f00-3b26-4d75-9b0a-0dea65e2e352.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/meta-llama_Llama-3.2-3B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-3.2-3B",
+    "id": "meta-llama/Llama-3.2-3B",
+    "developer": "meta-llama",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 3.213
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1337
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3905
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0189
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2676
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3577
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2488
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/meta-llama/Llama-3.3-70B-Instruct/b227d987-1bec-4124-955a-d81e2e2a52f6.json b/data/hfopenllm_v2/meta-llama/Llama-3.3-70B-Instruct/b227d987-1bec-4124-955a-d81e2e2a52f6.json
deleted file mode 100644
index 6831a860c..000000000
--- a/data/hfopenllm_v2/meta-llama/Llama-3.3-70B-Instruct/b227d987-1bec-4124-955a-d81e2e2a52f6.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/meta-llama_Llama-3.3-70B-Instruct/1762652580.352333",
-  "retrieved_timestamp": "1762652580.352334",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "meta-llama/Llama-3.3-70B-Instruct",
-    "developer": "meta-llama",
-    "inference_platform": "unknown",
-    "id": "meta-llama/Llama-3.3-70B-Instruct",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 70.554
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.8997581971391464
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6919312828325811
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.48338368580060426
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3288590604026846
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.44612500000000005
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5331615691489362
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/meta-llama/Llama-3.3-70B-Instruct/f74d26e6-9dfb-4e81-8522-8309b27760cf.json b/data/hfopenllm_v2/meta-llama/Llama-3.3-70B-Instruct/f74d26e6-9dfb-4e81-8522-8309b27760cf.json
new file mode 100644
index 000000000..fd07a860b
--- /dev/null
+++ b/data/hfopenllm_v2/meta-llama/Llama-3.3-70B-Instruct/f74d26e6-9dfb-4e81-8522-8309b27760cf.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/meta-llama_Llama-3.3-70B-Instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-3.3-70B-Instruct",
+    "id": "meta-llama/Llama-3.3-70B-Instruct",
+    "developer": "meta-llama",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 70.554
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.8998
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6919
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4834
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3289
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4461
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5332
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/meta-llama/Meta-Llama-3-70B-Instruct/2022bcf3-a057-4b0a-aa33-6cf074ffc714.json b/data/hfopenllm_v2/meta-llama/Meta-Llama-3-70B-Instruct/2022bcf3-a057-4b0a-aa33-6cf074ffc714.json
new file mode 100644
index 000000000..dc54a58af
--- /dev/null
+++ b/data/hfopenllm_v2/meta-llama/Meta-Llama-3-70B-Instruct/2022bcf3-a057-4b0a-aa33-6cf074ffc714.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/meta-llama_Meta-Llama-3-70B-Instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Meta-Llama-3-70B-Instruct",
+    "id": "meta-llama/Meta-Llama-3-70B-Instruct",
+    "developer": "meta-llama",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 70.554
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.8099
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6547
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2447
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2869
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4154
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5207
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/meta-llama/Meta-Llama-3-70B-Instruct/5a0ae810-10a3-4497-a81c-a88d2106a5ba.json b/data/hfopenllm_v2/meta-llama/Meta-Llama-3-70B-Instruct/5a0ae810-10a3-4497-a81c-a88d2106a5ba.json
deleted file mode 100644
index 5c6288c08..000000000
--- a/data/hfopenllm_v2/meta-llama/Meta-Llama-3-70B-Instruct/5a0ae810-10a3-4497-a81c-a88d2106a5ba.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/meta-llama_Meta-Llama-3-70B-Instruct/1762652580.352748",
-  "retrieved_timestamp": "1762652580.352749",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "meta-llama/Meta-Llama-3-70B-Instruct",
-    "developer": "meta-llama",
-    "inference_platform": "unknown",
-    "id": "meta-llama/Meta-Llama-3-70B-Instruct",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 70.554
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.8099077115387172
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6546699432372051
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.28691275167785235
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4153645833333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5206948138297872
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/meta-llama/Meta-Llama-3-70B/a6e79d12-42f6-47ad-95fa-ba03fa4d3a06.json b/data/hfopenllm_v2/meta-llama/Meta-Llama-3-70B/a6e79d12-42f6-47ad-95fa-ba03fa4d3a06.json
new file mode 100644
index 000000000..faa64a96e
--- /dev/null
+++ b/data/hfopenllm_v2/meta-llama/Meta-Llama-3-70B/a6e79d12-42f6-47ad-95fa-ba03fa4d3a06.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/meta-llama_Meta-Llama-3-70B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Meta-Llama-3-70B",
+    "id": "meta-llama/Meta-Llama-3-70B",
+    "developer": "meta-llama",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 70.554
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1603
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6461
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1858
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3977
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4518
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4709
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/meta-llama/Meta-Llama-3-8B-Instruct/108befbc-f9a6-4d5f-9bcf-30fe7cebe35b.json b/data/hfopenllm_v2/meta-llama/Meta-Llama-3-8B-Instruct/108befbc-f9a6-4d5f-9bcf-30fe7cebe35b.json
deleted file mode 100644
index e46017225..000000000
--- a/data/hfopenllm_v2/meta-llama/Meta-Llama-3-8B-Instruct/108befbc-f9a6-4d5f-9bcf-30fe7cebe35b.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/meta-llama_Meta-Llama-3-8B-Instruct/1762652580.353369",
-  "retrieved_timestamp": "1762652580.353369",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "meta-llama/Meta-Llama-3-8B-Instruct",
-    "developer": "meta-llama",
-    "inference_platform": "unknown",
-    "id": "meta-llama/Meta-Llama-3-8B-Instruct",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4910264175128683
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.09138972809667674
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.29278523489932884
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3805416666666666
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.359125664893617
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/meta-llama/Meta-Llama-3-8B-Instruct/24d850fe-1817-4041-8767-085f4bd2bac3.json b/data/hfopenllm_v2/meta-llama/Meta-Llama-3-8B-Instruct/24d850fe-1817-4041-8767-085f4bd2bac3.json
new file mode 100644
index 000000000..ac1995522
--- /dev/null
+++ b/data/hfopenllm_v2/meta-llama/Meta-Llama-3-8B-Instruct/24d850fe-1817-4041-8767-085f4bd2bac3.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/meta-llama_Meta-Llama-3-8B-Instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Meta-Llama-3-8B-Instruct",
+    "id": "meta-llama/Meta-Llama-3-8B-Instruct",
+    "developer": "meta-llama",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7408
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4989
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0869
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2592
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3568
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3664
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/meta-llama/Meta-Llama-3-8B-Instruct/610a3be1-1032-4079-ba37-d6c2c5f9fd55.json b/data/hfopenllm_v2/meta-llama/Meta-Llama-3-8B-Instruct/610a3be1-1032-4079-ba37-d6c2c5f9fd55.json
new file mode 100644
index 000000000..7d274c62c
--- /dev/null
+++ b/data/hfopenllm_v2/meta-llama/Meta-Llama-3-8B-Instruct/610a3be1-1032-4079-ba37-d6c2c5f9fd55.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/meta-llama_Meta-Llama-3-8B-Instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Meta-Llama-3-8B-Instruct",
+    "id": "meta-llama/Meta-Llama-3-8B-Instruct",
+    "developer": "meta-llama",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4782
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.491
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0914
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2928
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3805
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3591
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/meta-llama/Meta-Llama-3-8B-Instruct/df2fd3a3-33d0-4ee8-be73-e8d3e00e8184.json b/data/hfopenllm_v2/meta-llama/Meta-Llama-3-8B-Instruct/df2fd3a3-33d0-4ee8-be73-e8d3e00e8184.json
deleted file mode 100644
index a318de98c..000000000
--- a/data/hfopenllm_v2/meta-llama/Meta-Llama-3-8B-Instruct/df2fd3a3-33d0-4ee8-be73-e8d3e00e8184.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/meta-llama_Meta-Llama-3-8B-Instruct/1762652580.353163",
-  "retrieved_timestamp": "1762652580.353164",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "meta-llama/Meta-Llama-3-8B-Instruct",
-    "developer": "meta-llama",
-    "inference_platform": "unknown",
-    "id": "meta-llama/Meta-Llama-3-8B-Instruct",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7408398604591373
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
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-    },
-    {
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.25922818791946306
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3568229166666667
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3664394946808511
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/meta-llama/Meta-Llama-3-8B/857bb10e-1b43-4714-a758-0cef5816ba02.json b/data/hfopenllm_v2/meta-llama/Meta-Llama-3-8B/857bb10e-1b43-4714-a758-0cef5816ba02.json
new file mode 100644
index 000000000..e2bd15b0b
--- /dev/null
+++ b/data/hfopenllm_v2/meta-llama/Meta-Llama-3-8B/857bb10e-1b43-4714-a758-0cef5816ba02.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/meta-llama_Meta-Llama-3-8B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Meta-Llama-3-8B",
+    "id": "meta-llama/Meta-Llama-3-8B",
+    "developer": "meta-llama",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1455
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+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4598
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0453
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3054
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3614
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.321
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/meta/3rd-Degree-Burn/Llama-3.1-8B-Squareroot-v1/0851ad0a-7f87-48c8-943a-198ad2ef8ea3.json b/data/hfopenllm_v2/meta/3rd-Degree-Burn/Llama-3.1-8B-Squareroot-v1/0851ad0a-7f87-48c8-943a-198ad2ef8ea3.json
deleted file mode 100644
index 02994afa9..000000000
--- a/data/hfopenllm_v2/meta/3rd-Degree-Burn/Llama-3.1-8B-Squareroot-v1/0851ad0a-7f87-48c8-943a-198ad2ef8ea3.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/3rd-Degree-Burn_Llama-3.1-8B-Squareroot-v1/1762652579.470921",
-  "retrieved_timestamp": "1762652579.470922",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "3rd-Degree-Burn/Llama-3.1-8B-Squareroot-v1",
-    "developer": "meta",
-    "inference_platform": "unknown",
-    "id": "3rd-Degree-Burn/Llama-3.1-8B-Squareroot-v1",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
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-      "evaluation_name": "IFEval",
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-        "score_type": "continuous",
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-        "max_score": 1
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
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diff --git a/data/hfopenllm_v2/meta/3rd-Degree-Burn/Llama-3.1-8B-Squareroot/cbe8101a-f057-4151-9391-dbd883f4c09e.json b/data/hfopenllm_v2/meta/3rd-Degree-Burn/Llama-3.1-8B-Squareroot/cbe8101a-f057-4151-9391-dbd883f4c09e.json
deleted file mode 100644
index 2467576f3..000000000
--- a/data/hfopenllm_v2/meta/3rd-Degree-Burn/Llama-3.1-8B-Squareroot/cbe8101a-f057-4151-9391-dbd883f4c09e.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/3rd-Degree-Burn_Llama-3.1-8B-Squareroot/1762652579.47045",
-  "retrieved_timestamp": "1762652579.4704509",
-  "source_data": [
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
-    "name": "3rd-Degree-Burn/Llama-3.1-8B-Squareroot",
-    "developer": "meta",
-    "inference_platform": "unknown",
-    "id": "3rd-Degree-Burn/Llama-3.1-8B-Squareroot",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "evaluation_name": "MMLU-PRO",
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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diff --git a/data/hfopenllm_v2/meta/3rd-Degree-Burn/Llama-Squared-8B/fae2328b-af2f-49ff-a817-9406cf40c3d0.json b/data/hfopenllm_v2/meta/3rd-Degree-Burn/Llama-Squared-8B/fae2328b-af2f-49ff-a817-9406cf40c3d0.json
deleted file mode 100644
index 123f1e550..000000000
--- a/data/hfopenllm_v2/meta/3rd-Degree-Burn/Llama-Squared-8B/fae2328b-af2f-49ff-a817-9406cf40c3d0.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/3rd-Degree-Burn_Llama-Squared-8B/1762652579.471144",
-  "retrieved_timestamp": "1762652579.471145",
-  "source_data": [
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "3rd-Degree-Burn/Llama-Squared-8B",
-    "developer": "meta",
-    "inference_platform": "unknown",
-    "id": "3rd-Degree-Burn/Llama-Squared-8B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
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-      "evaluation_name": "IFEval",
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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diff --git a/data/hfopenllm_v2/meta/AGI-0/Artificium-llama3.1-8B-001/2e3e8be1-725f-4662-a8b1-da4437018e31.json b/data/hfopenllm_v2/meta/AGI-0/Artificium-llama3.1-8B-001/2e3e8be1-725f-4662-a8b1-da4437018e31.json
deleted file mode 100644
index f1c4723aa..000000000
--- a/data/hfopenllm_v2/meta/AGI-0/Artificium-llama3.1-8B-001/2e3e8be1-725f-4662-a8b1-da4437018e31.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/AGI-0_Artificium-llama3.1-8B-001/1762652579.4738402",
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-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
-    "name": "AGI-0/Artificium-llama3.1-8B-001",
-    "developer": "meta",
-    "inference_platform": "unknown",
-    "id": "AGI-0/Artificium-llama3.1-8B-001",
-    "additional_details": {
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-        "score_type": "continuous",
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diff --git a/data/hfopenllm_v2/meta/AGI-0/smartllama3.1-8B-001/c97c2d67-79d5-4813-8569-64eaefe66f89.json b/data/hfopenllm_v2/meta/AGI-0/smartllama3.1-8B-001/c97c2d67-79d5-4813-8569-64eaefe66f89.json
deleted file mode 100644
index 68b44e745..000000000
--- a/data/hfopenllm_v2/meta/AGI-0/smartllama3.1-8B-001/c97c2d67-79d5-4813-8569-64eaefe66f89.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/AGI-0_smartllama3.1-8B-001/1762652579.4741051",
-  "retrieved_timestamp": "1762652579.474106",
-  "source_data": [
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-    "developer": "meta",
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-    "id": "AGI-0/smartllama3.1-8B-001",
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diff --git a/data/hfopenllm_v2/meta/ArliAI/Llama-3.1-8B-ArliAI-RPMax-v1.1/1d33cf05-9690-41ba-9288-5f39e5b3c17d.json b/data/hfopenllm_v2/meta/ArliAI/Llama-3.1-8B-ArliAI-RPMax-v1.1/1d33cf05-9690-41ba-9288-5f39e5b3c17d.json
deleted file mode 100644
index f961af38a..000000000
--- a/data/hfopenllm_v2/meta/ArliAI/Llama-3.1-8B-ArliAI-RPMax-v1.1/1d33cf05-9690-41ba-9288-5f39e5b3c17d.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-    "developer": "meta",
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-    "id": "ArliAI/Llama-3.1-8B-ArliAI-RPMax-v1.1",
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diff --git a/data/hfopenllm_v2/meta/Azure99/blossom-v5-llama3-8b/19a6e24f-819e-480f-a15f-90273a0a06c5.json b/data/hfopenllm_v2/meta/Azure99/blossom-v5-llama3-8b/19a6e24f-819e-480f-a15f-90273a0a06c5.json
deleted file mode 100644
index 357a04a87..000000000
--- a/data/hfopenllm_v2/meta/Azure99/blossom-v5-llama3-8b/19a6e24f-819e-480f-a15f-90273a0a06c5.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/BEE-spoke-data/Meta-Llama-3-8Bee/ae5f1f84-091a-4f80-ae40-92ada7e04f94.json b/data/hfopenllm_v2/meta/BEE-spoke-data/Meta-Llama-3-8Bee/ae5f1f84-091a-4f80-ae40-92ada7e04f94.json
deleted file mode 100644
index af5a6058c..000000000
--- a/data/hfopenllm_v2/meta/BEE-spoke-data/Meta-Llama-3-8Bee/ae5f1f84-091a-4f80-ae40-92ada7e04f94.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/BEE-spoke-data/smol_llama-101M-GQA/3c1f129b-4f54-4187-876b-c93942179125.json b/data/hfopenllm_v2/meta/BEE-spoke-data/smol_llama-101M-GQA/3c1f129b-4f54-4187-876b-c93942179125.json
deleted file mode 100644
index a151dcaf5..000000000
--- a/data/hfopenllm_v2/meta/BEE-spoke-data/smol_llama-101M-GQA/3c1f129b-4f54-4187-876b-c93942179125.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/BEE-spoke-data/smol_llama-220M-GQA-fineweb_edu/03c78dad-b50d-4f80-91f8-bd8fbb87235d.json b/data/hfopenllm_v2/meta/BEE-spoke-data/smol_llama-220M-GQA-fineweb_edu/03c78dad-b50d-4f80-91f8-bd8fbb87235d.json
deleted file mode 100644
index cd03e29b0..000000000
--- a/data/hfopenllm_v2/meta/BEE-spoke-data/smol_llama-220M-GQA-fineweb_edu/03c78dad-b50d-4f80-91f8-bd8fbb87235d.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/BEE-spoke-data/smol_llama-220M-GQA/26596bba-b99d-417f-87be-91de8fa528d3.json b/data/hfopenllm_v2/meta/BEE-spoke-data/smol_llama-220M-GQA/26596bba-b99d-417f-87be-91de8fa528d3.json
deleted file mode 100644
index 1ded543ca..000000000
--- a/data/hfopenllm_v2/meta/BEE-spoke-data/smol_llama-220M-GQA/26596bba-b99d-417f-87be-91de8fa528d3.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/BEE-spoke-data/smol_llama-220M-openhermes/a0de28f1-8186-4eef-b5b4-ce6da71d8271.json b/data/hfopenllm_v2/meta/BEE-spoke-data/smol_llama-220M-openhermes/a0de28f1-8186-4eef-b5b4-ce6da71d8271.json
deleted file mode 100644
index ebe7fc54f..000000000
--- a/data/hfopenllm_v2/meta/BEE-spoke-data/smol_llama-220M-openhermes/a0de28f1-8186-4eef-b5b4-ce6da71d8271.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/Ba2han/Llama-Phi-3_DoRA/99c4e277-7a0f-4c0c-ac19-25fe6b706a4a.json b/data/hfopenllm_v2/meta/Ba2han/Llama-Phi-3_DoRA/99c4e277-7a0f-4c0c-ac19-25fe6b706a4a.json
deleted file mode 100644
index ada94388d..000000000
--- a/data/hfopenllm_v2/meta/Ba2han/Llama-Phi-3_DoRA/99c4e277-7a0f-4c0c-ac19-25fe6b706a4a.json
+++ /dev/null
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diff --git a/data/hfopenllm_v2/meta/BlackBeenie/Llama-3.1-8B-pythonic-passthrough-merge/f852dab4-9c5a-4fb9-99c2-951e7d2300d0.json b/data/hfopenllm_v2/meta/BlackBeenie/Llama-3.1-8B-pythonic-passthrough-merge/f852dab4-9c5a-4fb9-99c2-951e7d2300d0.json
deleted file mode 100644
index 96dcdf9cf..000000000
--- a/data/hfopenllm_v2/meta/BlackBeenie/Llama-3.1-8B-pythonic-passthrough-merge/f852dab4-9c5a-4fb9-99c2-951e7d2300d0.json
+++ /dev/null
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diff --git a/data/hfopenllm_v2/meta/BlackBeenie/Neos-Llama-3.1-8B/904e3917-3bfd-4c83-8088-6b5ac596e7ea.json b/data/hfopenllm_v2/meta/BlackBeenie/Neos-Llama-3.1-8B/904e3917-3bfd-4c83-8088-6b5ac596e7ea.json
deleted file mode 100644
index b2cf0bfbc..000000000
--- a/data/hfopenllm_v2/meta/BlackBeenie/Neos-Llama-3.1-8B/904e3917-3bfd-4c83-8088-6b5ac596e7ea.json
+++ /dev/null
@@ -1,105 +0,0 @@
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deleted file mode 100644
index 611649dc6..000000000
--- a/data/hfopenllm_v2/meta/BlackBeenie/Neos-Llama-3.1-base/ec9c46a6-a0e9-4174-8ebe-ce33d5eeb27d.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/meta/BlackBeenie/llama-3-luminous-merged/9ca4809e-2bf0-477e-b960-64718561583b.json b/data/hfopenllm_v2/meta/BlackBeenie/llama-3-luminous-merged/9ca4809e-2bf0-477e-b960-64718561583b.json
deleted file mode 100644
index ea59426d0..000000000
--- a/data/hfopenllm_v2/meta/BlackBeenie/llama-3-luminous-merged/9ca4809e-2bf0-477e-b960-64718561583b.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/meta/BlackBeenie/llama-3.1-8B-Galore-openassistant-guanaco/7f8d4c8c-4877-4b2f-a0fe-7817894daa79.json b/data/hfopenllm_v2/meta/BlackBeenie/llama-3.1-8B-Galore-openassistant-guanaco/7f8d4c8c-4877-4b2f-a0fe-7817894daa79.json
deleted file mode 100644
index e37ca784a..000000000
--- a/data/hfopenllm_v2/meta/BlackBeenie/llama-3.1-8B-Galore-openassistant-guanaco/7f8d4c8c-4877-4b2f-a0fe-7817894daa79.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/Bllossom/llama-3.2-Korean-Bllossom-AICA-5B/e2668c3c-a862-4564-acee-3c3ce439f74f.json b/data/hfopenllm_v2/meta/Bllossom/llama-3.2-Korean-Bllossom-AICA-5B/e2668c3c-a862-4564-acee-3c3ce439f74f.json
deleted file mode 100644
index 644c63503..000000000
--- a/data/hfopenllm_v2/meta/Bllossom/llama-3.2-Korean-Bllossom-AICA-5B/e2668c3c-a862-4564-acee-3c3ce439f74f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/BrainWave-ML/llama3.2-3B-maths-orpo/979ef5b7-12cb-4e4d-81c7-9e6fcb1d6cef.json b/data/hfopenllm_v2/meta/BrainWave-ML/llama3.2-3B-maths-orpo/979ef5b7-12cb-4e4d-81c7-9e6fcb1d6cef.json
deleted file mode 100644
index 40163efa8..000000000
--- a/data/hfopenllm_v2/meta/BrainWave-ML/llama3.2-3B-maths-orpo/979ef5b7-12cb-4e4d-81c7-9e6fcb1d6cef.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/CYFRAGOVPL/Llama-PLLuM-8B-base/01484796-f32b-43fe-b865-517b1a5c0b10.json b/data/hfopenllm_v2/meta/CYFRAGOVPL/Llama-PLLuM-8B-base/01484796-f32b-43fe-b865-517b1a5c0b10.json
deleted file mode 100644
index 43dbe71a2..000000000
--- a/data/hfopenllm_v2/meta/CYFRAGOVPL/Llama-PLLuM-8B-base/01484796-f32b-43fe-b865-517b1a5c0b10.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/Columbia-NLP/LION-LLaMA-3-8b-odpo-v1.0/c256cede-47bb-487d-9de2-ae7352faa165.json b/data/hfopenllm_v2/meta/Columbia-NLP/LION-LLaMA-3-8b-odpo-v1.0/c256cede-47bb-487d-9de2-ae7352faa165.json
deleted file mode 100644
index b009b89aa..000000000
--- a/data/hfopenllm_v2/meta/Columbia-NLP/LION-LLaMA-3-8b-odpo-v1.0/c256cede-47bb-487d-9de2-ae7352faa165.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/ContactDoctor/Bio-Medical-Llama-3-8B/42a3e3b7-b8e3-4470-b1a6-4a3daa146484.json b/data/hfopenllm_v2/meta/ContactDoctor/Bio-Medical-Llama-3-8B/42a3e3b7-b8e3-4470-b1a6-4a3daa146484.json
deleted file mode 100644
index 68cd4f463..000000000
--- a/data/hfopenllm_v2/meta/ContactDoctor/Bio-Medical-Llama-3-8B/42a3e3b7-b8e3-4470-b1a6-4a3daa146484.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/Corianas/llama-3-reactor/0670ba93-c3d6-4a74-94e4-4a77311d4984.json b/data/hfopenllm_v2/meta/Corianas/llama-3-reactor/0670ba93-c3d6-4a74-94e4-4a77311d4984.json
deleted file mode 100644
index 3244a425b..000000000
--- a/data/hfopenllm_v2/meta/Corianas/llama-3-reactor/0670ba93-c3d6-4a74-94e4-4a77311d4984.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/CreitinGameplays/Llama-3.1-8B-R1-v0.1/a4b935d4-1664-44e4-ad82-639755c2b909.json b/data/hfopenllm_v2/meta/CreitinGameplays/Llama-3.1-8B-R1-v0.1/a4b935d4-1664-44e4-ad82-639755c2b909.json
deleted file mode 100644
index 3df7b0b65..000000000
--- a/data/hfopenllm_v2/meta/CreitinGameplays/Llama-3.1-8B-R1-v0.1/a4b935d4-1664-44e4-ad82-639755c2b909.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/Daemontatox/Llama3.3-70B-CogniLink/20b46645-a1dd-4974-9ad1-444f8ca78481.json b/data/hfopenllm_v2/meta/Daemontatox/Llama3.3-70B-CogniLink/20b46645-a1dd-4974-9ad1-444f8ca78481.json
deleted file mode 100644
index 3ed1a59df..000000000
--- a/data/hfopenllm_v2/meta/Daemontatox/Llama3.3-70B-CogniLink/20b46645-a1dd-4974-9ad1-444f8ca78481.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/Daemontatox/Llama_cot/01a0a741-5f78-4c31-a743-8e42ba73a22d.json b/data/hfopenllm_v2/meta/Daemontatox/Llama_cot/01a0a741-5f78-4c31-a743-8e42ba73a22d.json
deleted file mode 100644
index 1452c844c..000000000
--- a/data/hfopenllm_v2/meta/Daemontatox/Llama_cot/01a0a741-5f78-4c31-a743-8e42ba73a22d.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/Danielbrdz/Barcenas-Llama3-8b-ORPO/83f9e48d-919e-42ec-8ea4-cc933a1b98f5.json b/data/hfopenllm_v2/meta/Danielbrdz/Barcenas-Llama3-8b-ORPO/83f9e48d-919e-42ec-8ea4-cc933a1b98f5.json
deleted file mode 100644
index 25e70568f..000000000
--- a/data/hfopenllm_v2/meta/Danielbrdz/Barcenas-Llama3-8b-ORPO/83f9e48d-919e-42ec-8ea4-cc933a1b98f5.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/DavidAU/DeepHermes-3-Llama-3-8B-Preview-16.5B-Brainstorm/e2d5ee61-4d0a-4925-b3bf-016b8ff6b1b9.json b/data/hfopenllm_v2/meta/DavidAU/DeepHermes-3-Llama-3-8B-Preview-16.5B-Brainstorm/e2d5ee61-4d0a-4925-b3bf-016b8ff6b1b9.json
deleted file mode 100644
index 5bee942c7..000000000
--- a/data/hfopenllm_v2/meta/DavidAU/DeepHermes-3-Llama-3-8B-Preview-16.5B-Brainstorm/e2d5ee61-4d0a-4925-b3bf-016b8ff6b1b9.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/DavidAU/DeepSeek-BlackRoot-R1-Distill-Llama-3.1-8B/5e116cf4-1be5-44aa-b266-494b1e4127d3.json b/data/hfopenllm_v2/meta/DavidAU/DeepSeek-BlackRoot-R1-Distill-Llama-3.1-8B/5e116cf4-1be5-44aa-b266-494b1e4127d3.json
deleted file mode 100644
index b18f864f8..000000000
--- a/data/hfopenllm_v2/meta/DavidAU/DeepSeek-BlackRoot-R1-Distill-Llama-3.1-8B/5e116cf4-1be5-44aa-b266-494b1e4127d3.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/DavidAU/DeepSeek-Grand-Horror-SMB-R1-Distill-Llama-3.1-16B/a3b69c21-b6bf-4bf9-9097-ebb26c586829.json b/data/hfopenllm_v2/meta/DavidAU/DeepSeek-Grand-Horror-SMB-R1-Distill-Llama-3.1-16B/a3b69c21-b6bf-4bf9-9097-ebb26c586829.json
deleted file mode 100644
index 93b54adff..000000000
--- a/data/hfopenllm_v2/meta/DavidAU/DeepSeek-Grand-Horror-SMB-R1-Distill-Llama-3.1-16B/a3b69c21-b6bf-4bf9-9097-ebb26c586829.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/DavidAU/DeepSeek-MOE-4X8B-R1-Distill-Llama-3.1-Deep-Thinker-Uncensored-24B/d827463a-19cd-4bf2-8823-399b22b57387.json b/data/hfopenllm_v2/meta/DavidAU/DeepSeek-MOE-4X8B-R1-Distill-Llama-3.1-Deep-Thinker-Uncensored-24B/d827463a-19cd-4bf2-8823-399b22b57387.json
deleted file mode 100644
index 4725df762..000000000
--- a/data/hfopenllm_v2/meta/DavidAU/DeepSeek-MOE-4X8B-R1-Distill-Llama-3.1-Deep-Thinker-Uncensored-24B/d827463a-19cd-4bf2-8823-399b22b57387.json
+++ /dev/null
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diff --git a/data/hfopenllm_v2/meta/DavidAU/DeepSeek-MOE-4X8B-R1-Distill-Llama-3.1-Mad-Scientist-24B/efad116f-dfc7-4a63-95b1-c61655cd7f0c.json b/data/hfopenllm_v2/meta/DavidAU/DeepSeek-MOE-4X8B-R1-Distill-Llama-3.1-Mad-Scientist-24B/efad116f-dfc7-4a63-95b1-c61655cd7f0c.json
deleted file mode 100644
index 01c1140fb..000000000
--- a/data/hfopenllm_v2/meta/DavidAU/DeepSeek-MOE-4X8B-R1-Distill-Llama-3.1-Mad-Scientist-24B/efad116f-dfc7-4a63-95b1-c61655cd7f0c.json
+++ /dev/null
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diff --git a/data/hfopenllm_v2/meta/DavidAU/DeepSeek-V2-Grand-Horror-SMB-R1-Distill-Llama-3.1-Uncensored-16.5B/5af2dce8-b12c-474c-b9e2-b5a38687772d.json b/data/hfopenllm_v2/meta/DavidAU/DeepSeek-V2-Grand-Horror-SMB-R1-Distill-Llama-3.1-Uncensored-16.5B/5af2dce8-b12c-474c-b9e2-b5a38687772d.json
deleted file mode 100644
index be3950574..000000000
--- a/data/hfopenllm_v2/meta/DavidAU/DeepSeek-V2-Grand-Horror-SMB-R1-Distill-Llama-3.1-Uncensored-16.5B/5af2dce8-b12c-474c-b9e2-b5a38687772d.json
+++ /dev/null
@@ -1,105 +0,0 @@
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deleted file mode 100644
index 815c0f1c8..000000000
--- a/data/hfopenllm_v2/meta/DavidAU/DeepThought-MOE-8X3B-R1-Llama-3.2-Reasoning-18B/f2b1fc61-a1c4-431c-b507-7d222ac3aedc.json
+++ /dev/null
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deleted file mode 100644
index 91f686ca2..000000000
--- a/data/hfopenllm_v2/meta/DavieLion/Llama-3.2-1B-SPIN-iter0/62d01464-4163-432c-a017-bedf41cba649.json
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deleted file mode 100644
index 47170fd57..000000000
--- a/data/hfopenllm_v2/meta/DavieLion/Llama-3.2-1B-SPIN-iter0/a9771320-cc89-43fc-b398-7797505bc4e2.json
+++ /dev/null
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deleted file mode 100644
index 13d54b8cf..000000000
--- a/data/hfopenllm_v2/meta/DavieLion/Llama-3.2-1B-SPIN-iter1/c380c4b0-7804-4b59-a7e4-700f0a7122b3.json
+++ /dev/null
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diff --git a/data/hfopenllm_v2/meta/DavieLion/Llama-3.2-1B-SPIN-iter2/5723e611-e7e0-47c0-a5ac-162f22690d70.json b/data/hfopenllm_v2/meta/DavieLion/Llama-3.2-1B-SPIN-iter2/5723e611-e7e0-47c0-a5ac-162f22690d70.json
deleted file mode 100644
index a658879e7..000000000
--- a/data/hfopenllm_v2/meta/DavieLion/Llama-3.2-1B-SPIN-iter2/5723e611-e7e0-47c0-a5ac-162f22690d70.json
+++ /dev/null
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diff --git a/data/hfopenllm_v2/meta/DavieLion/Llama-3.2-1B-SPIN-iter3/07d16051-fe48-46e6-a47c-806e9f95a92b.json b/data/hfopenllm_v2/meta/DavieLion/Llama-3.2-1B-SPIN-iter3/07d16051-fe48-46e6-a47c-806e9f95a92b.json
deleted file mode 100644
index 035ec92dc..000000000
--- a/data/hfopenllm_v2/meta/DavieLion/Llama-3.2-1B-SPIN-iter3/07d16051-fe48-46e6-a47c-806e9f95a92b.json
+++ /dev/null
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diff --git a/data/hfopenllm_v2/meta/DavieLion/Llama-3.2-1B-SPIN-iter3/7a91746e-e622-4eef-aef8-5f0ba04f03c9.json b/data/hfopenllm_v2/meta/DavieLion/Llama-3.2-1B-SPIN-iter3/7a91746e-e622-4eef-aef8-5f0ba04f03c9.json
deleted file mode 100644
index 977e34c0c..000000000
--- a/data/hfopenllm_v2/meta/DavieLion/Llama-3.2-1B-SPIN-iter3/7a91746e-e622-4eef-aef8-5f0ba04f03c9.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/DeepAutoAI/Explore_Llama-3.1-8B-Inst/0da22342-b4ef-4dd2-b4f5-327710986701.json b/data/hfopenllm_v2/meta/DeepAutoAI/Explore_Llama-3.1-8B-Inst/0da22342-b4ef-4dd2-b4f5-327710986701.json
deleted file mode 100644
index 24b36418f..000000000
--- a/data/hfopenllm_v2/meta/DeepAutoAI/Explore_Llama-3.1-8B-Inst/0da22342-b4ef-4dd2-b4f5-327710986701.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/DeepAutoAI/Explore_Llama-3.2-1B-Inst/f8e00446-f253-4ff3-a9ff-ef182cf9e147.json b/data/hfopenllm_v2/meta/DeepAutoAI/Explore_Llama-3.2-1B-Inst/f8e00446-f253-4ff3-a9ff-ef182cf9e147.json
deleted file mode 100644
index 0ebd9bcc0..000000000
--- a/data/hfopenllm_v2/meta/DeepAutoAI/Explore_Llama-3.2-1B-Inst/f8e00446-f253-4ff3-a9ff-ef182cf9e147.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/DeepAutoAI/Explore_Llama-3.2-1B-Inst_v0/455764e4-7b66-4189-b2e8-907047a92d45.json b/data/hfopenllm_v2/meta/DeepAutoAI/Explore_Llama-3.2-1B-Inst_v0/455764e4-7b66-4189-b2e8-907047a92d45.json
deleted file mode 100644
index 4fc9595a2..000000000
--- a/data/hfopenllm_v2/meta/DeepAutoAI/Explore_Llama-3.2-1B-Inst_v0/455764e4-7b66-4189-b2e8-907047a92d45.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/DeepAutoAI/Explore_Llama-3.2-1B-Inst_v1.1/40bc60f8-aa35-460b-a7af-b4cccd138c80.json b/data/hfopenllm_v2/meta/DeepAutoAI/Explore_Llama-3.2-1B-Inst_v1.1/40bc60f8-aa35-460b-a7af-b4cccd138c80.json
deleted file mode 100644
index 279266ece..000000000
--- a/data/hfopenllm_v2/meta/DeepAutoAI/Explore_Llama-3.2-1B-Inst_v1.1/40bc60f8-aa35-460b-a7af-b4cccd138c80.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/DeepAutoAI/Explore_Llama-3.2-1B-Inst_v1/74f0ecd4-e04a-4775-9551-fc0e9fa40314.json b/data/hfopenllm_v2/meta/DeepAutoAI/Explore_Llama-3.2-1B-Inst_v1/74f0ecd4-e04a-4775-9551-fc0e9fa40314.json
deleted file mode 100644
index 689fb4ac4..000000000
--- a/data/hfopenllm_v2/meta/DeepAutoAI/Explore_Llama-3.2-1B-Inst_v1/74f0ecd4-e04a-4775-9551-fc0e9fa40314.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/DeepAutoAI/ldm_soup_Llama-3.1-8B-Inst/a4da2ab3-adb3-405f-9bb7-2164d740d424.json b/data/hfopenllm_v2/meta/DeepAutoAI/ldm_soup_Llama-3.1-8B-Inst/a4da2ab3-adb3-405f-9bb7-2164d740d424.json
deleted file mode 100644
index fef869c9b..000000000
--- a/data/hfopenllm_v2/meta/DeepAutoAI/ldm_soup_Llama-3.1-8B-Inst/a4da2ab3-adb3-405f-9bb7-2164d740d424.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/DeepMount00/Llama-3-8b-Ita/bee65c80-73f2-46e5-9532-8f92b38c4fc5.json b/data/hfopenllm_v2/meta/DeepMount00/Llama-3-8b-Ita/bee65c80-73f2-46e5-9532-8f92b38c4fc5.json
deleted file mode 100644
index 12ee04433..000000000
--- a/data/hfopenllm_v2/meta/DeepMount00/Llama-3-8b-Ita/bee65c80-73f2-46e5-9532-8f92b38c4fc5.json
+++ /dev/null
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diff --git a/data/hfopenllm_v2/meta/DeepMount00/Llama-3.1-8b-ITA/1c5ce85b-84f3-4ac4-8a98-9d80659bff18.json b/data/hfopenllm_v2/meta/DeepMount00/Llama-3.1-8b-ITA/1c5ce85b-84f3-4ac4-8a98-9d80659bff18.json
deleted file mode 100644
index b5ebbcc4c..000000000
--- a/data/hfopenllm_v2/meta/DeepMount00/Llama-3.1-8b-ITA/1c5ce85b-84f3-4ac4-8a98-9d80659bff18.json
+++ /dev/null
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deleted file mode 100644
index 85f607894..000000000
--- a/data/hfopenllm_v2/meta/DeepMount00/Llama-3.1-8b-ITA/ca297bdd-d804-4c43-bb6e-0b7e230974e2.json
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@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/meta/DeepMount00/Llama-3.1-Distilled/6424a285-b3dc-4221-b3ba-5e7922185269.json b/data/hfopenllm_v2/meta/DeepMount00/Llama-3.1-Distilled/6424a285-b3dc-4221-b3ba-5e7922185269.json
deleted file mode 100644
index 9a20202dc..000000000
--- a/data/hfopenllm_v2/meta/DeepMount00/Llama-3.1-Distilled/6424a285-b3dc-4221-b3ba-5e7922185269.json
+++ /dev/null
@@ -1,105 +0,0 @@
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deleted file mode 100644
index a17c588f9..000000000
--- a/data/hfopenllm_v2/meta/DevQuasar/DevQuasar-R1-Uncensored-Llama-8B/490df557-2f50-434a-a28d-a78a234da9fa.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/Enno-Ai/EnnoAi-Pro-French-Llama-3-8B-v0.4/bbc78d6d-09e3-410a-9bf9-a6dcdbef346e.json b/data/hfopenllm_v2/meta/Enno-Ai/EnnoAi-Pro-French-Llama-3-8B-v0.4/bbc78d6d-09e3-410a-9bf9-a6dcdbef346e.json
deleted file mode 100644
index bbad6c21d..000000000
--- a/data/hfopenllm_v2/meta/Enno-Ai/EnnoAi-Pro-French-Llama-3-8B-v0.4/bbc78d6d-09e3-410a-9bf9-a6dcdbef346e.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-    "id": "Enno-Ai/EnnoAi-Pro-French-Llama-3-8B-v0.4",
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diff --git a/data/hfopenllm_v2/meta/Enno-Ai/EnnoAi-Pro-Llama-3-8B-v0.3/f1e005a2-b949-4518-b7e5-3fd7af3fcf0f.json b/data/hfopenllm_v2/meta/Enno-Ai/EnnoAi-Pro-Llama-3-8B-v0.3/f1e005a2-b949-4518-b7e5-3fd7af3fcf0f.json
deleted file mode 100644
index cb70e7b3c..000000000
--- a/data/hfopenllm_v2/meta/Enno-Ai/EnnoAi-Pro-Llama-3-8B-v0.3/f1e005a2-b949-4518-b7e5-3fd7af3fcf0f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/Enno-Ai/EnnoAi-Pro-Llama-3-8B/39a6c969-d938-4e4c-9adc-f71f1d30143d.json b/data/hfopenllm_v2/meta/Enno-Ai/EnnoAi-Pro-Llama-3-8B/39a6c969-d938-4e4c-9adc-f71f1d30143d.json
deleted file mode 100644
index 971e17871..000000000
--- a/data/hfopenllm_v2/meta/Enno-Ai/EnnoAi-Pro-Llama-3-8B/39a6c969-d938-4e4c-9adc-f71f1d30143d.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/Enno-Ai/EnnoAi-Pro-Llama-3.1-8B-v0.9/cf0ca830-4bb6-4317-97ae-380f54518d9f.json b/data/hfopenllm_v2/meta/Enno-Ai/EnnoAi-Pro-Llama-3.1-8B-v0.9/cf0ca830-4bb6-4317-97ae-380f54518d9f.json
deleted file mode 100644
index 577ae898c..000000000
--- a/data/hfopenllm_v2/meta/Enno-Ai/EnnoAi-Pro-Llama-3.1-8B-v0.9/cf0ca830-4bb6-4317-97ae-380f54518d9f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/EnnoAi/EnnoAi-Pro-Llama-3.1-8B-v1.0/32c712e0-4f63-4188-b4c8-5f37b6101e3f.json b/data/hfopenllm_v2/meta/EnnoAi/EnnoAi-Pro-Llama-3.1-8B-v1.0/32c712e0-4f63-4188-b4c8-5f37b6101e3f.json
deleted file mode 100644
index 907be7141..000000000
--- a/data/hfopenllm_v2/meta/EnnoAi/EnnoAi-Pro-Llama-3.1-8B-v1.0/32c712e0-4f63-4188-b4c8-5f37b6101e3f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/EpistemeAI/Alpaca-Llama3.1-8B/cd4698d8-e9d0-4a00-855a-6e0b9cfc31d8.json b/data/hfopenllm_v2/meta/EpistemeAI/Alpaca-Llama3.1-8B/cd4698d8-e9d0-4a00-855a-6e0b9cfc31d8.json
deleted file mode 100644
index 44739adc3..000000000
--- a/data/hfopenllm_v2/meta/EpistemeAI/Alpaca-Llama3.1-8B/cd4698d8-e9d0-4a00-855a-6e0b9cfc31d8.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/meta/EpistemeAI/Fireball-Alpaca-Llama3.1.07-8B-Philos-Math-KTO-beta/88e9cdd1-ad46-4ad0-9e9b-d872cdb63257.json b/data/hfopenllm_v2/meta/EpistemeAI/Fireball-Alpaca-Llama3.1.07-8B-Philos-Math-KTO-beta/88e9cdd1-ad46-4ad0-9e9b-d872cdb63257.json
deleted file mode 100644
index c077b469d..000000000
--- a/data/hfopenllm_v2/meta/EpistemeAI/Fireball-Alpaca-Llama3.1.07-8B-Philos-Math-KTO-beta/88e9cdd1-ad46-4ad0-9e9b-d872cdb63257.json
+++ /dev/null
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diff --git a/data/hfopenllm_v2/meta/EpistemeAI/Fireball-Alpaca-Llama3.1.08-8B-Philos-C-R2/60d939fa-9ae2-4226-a955-d586c27fea68.json b/data/hfopenllm_v2/meta/EpistemeAI/Fireball-Alpaca-Llama3.1.08-8B-Philos-C-R2/60d939fa-9ae2-4226-a955-d586c27fea68.json
deleted file mode 100644
index d98e15dff..000000000
--- a/data/hfopenllm_v2/meta/EpistemeAI/Fireball-Alpaca-Llama3.1.08-8B-Philos-C-R2/60d939fa-9ae2-4226-a955-d586c27fea68.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/meta/EpistemeAI/Fireball-R1-Llama-3.1-8B-Medical-COT/1bfd3789-e95b-487c-9c8a-516c017f6558.json b/data/hfopenllm_v2/meta/EpistemeAI/Fireball-R1-Llama-3.1-8B-Medical-COT/1bfd3789-e95b-487c-9c8a-516c017f6558.json
deleted file mode 100644
index 67b79abde..000000000
--- a/data/hfopenllm_v2/meta/EpistemeAI/Fireball-R1-Llama-3.1-8B-Medical-COT/1bfd3789-e95b-487c-9c8a-516c017f6558.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/EpistemeAI/Fireball-R1-Llama-3.1-8B/85ff1b65-eade-4d70-a278-99605f324e5a.json b/data/hfopenllm_v2/meta/EpistemeAI/Fireball-R1-Llama-3.1-8B/85ff1b65-eade-4d70-a278-99605f324e5a.json
deleted file mode 100644
index a7d150f3a..000000000
--- a/data/hfopenllm_v2/meta/EpistemeAI/Fireball-R1-Llama-3.1-8B/85ff1b65-eade-4d70-a278-99605f324e5a.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/meta/EpistemeAI/Fireball-R1.1-Llama-3.1-8B/5938f7d8-dddb-4989-81c6-e57e177e52c9.json b/data/hfopenllm_v2/meta/EpistemeAI/Fireball-R1.1-Llama-3.1-8B/5938f7d8-dddb-4989-81c6-e57e177e52c9.json
deleted file mode 100644
index d06176c2f..000000000
--- a/data/hfopenllm_v2/meta/EpistemeAI/Fireball-R1.1-Llama-3.1-8B/5938f7d8-dddb-4989-81c6-e57e177e52c9.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/meta/EpistemeAI/Llama-3.2-3B-Agent007-Coder/ab812077-8d2b-40f8-bc49-65fffd7f6f26.json b/data/hfopenllm_v2/meta/EpistemeAI/Llama-3.2-3B-Agent007-Coder/ab812077-8d2b-40f8-bc49-65fffd7f6f26.json
deleted file mode 100644
index da319e3b6..000000000
--- a/data/hfopenllm_v2/meta/EpistemeAI/Llama-3.2-3B-Agent007-Coder/ab812077-8d2b-40f8-bc49-65fffd7f6f26.json
+++ /dev/null
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diff --git a/data/hfopenllm_v2/meta/EpistemeAI/OpenReasoner-Llama-3.2-3B-rs1.0/610f3053-b2a9-45a8-ac09-af3edcb8c826.json b/data/hfopenllm_v2/meta/EpistemeAI/OpenReasoner-Llama-3.2-3B-rs1.0/610f3053-b2a9-45a8-ac09-af3edcb8c826.json
deleted file mode 100644
index 67c19b5aa..000000000
--- a/data/hfopenllm_v2/meta/EpistemeAI/OpenReasoner-Llama-3.2-3B-rs1.0/610f3053-b2a9-45a8-ac09-af3edcb8c826.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/EpistemeAI/Reasoning-Llama-3.1-CoT-RE1-NMT-V2-ORPO/14560449-0481-4346-aab2-ff75fdab691b.json b/data/hfopenllm_v2/meta/EpistemeAI/Reasoning-Llama-3.1-CoT-RE1-NMT-V2-ORPO/14560449-0481-4346-aab2-ff75fdab691b.json
deleted file mode 100644
index c6f74dba6..000000000
--- a/data/hfopenllm_v2/meta/EpistemeAI/Reasoning-Llama-3.1-CoT-RE1-NMT-V2-ORPO/14560449-0481-4346-aab2-ff75fdab691b.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/EpistemeAI/Reasoning-Llama-3.1-CoT-RE1-NMT/807ed760-775e-4082-90ea-7b524038bebf.json b/data/hfopenllm_v2/meta/EpistemeAI/Reasoning-Llama-3.1-CoT-RE1-NMT/807ed760-775e-4082-90ea-7b524038bebf.json
deleted file mode 100644
index 9a6e8eb30..000000000
--- a/data/hfopenllm_v2/meta/EpistemeAI/Reasoning-Llama-3.1-CoT-RE1-NMT/807ed760-775e-4082-90ea-7b524038bebf.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/EpistemeAI2/Fireball-Alpaca-Llama3.1-8B-Philos/392ea212-afd9-44a3-a6bb-2bba8f124492.json b/data/hfopenllm_v2/meta/EpistemeAI2/Fireball-Alpaca-Llama3.1-8B-Philos/392ea212-afd9-44a3-a6bb-2bba8f124492.json
deleted file mode 100644
index b860c3881..000000000
--- a/data/hfopenllm_v2/meta/EpistemeAI2/Fireball-Alpaca-Llama3.1-8B-Philos/392ea212-afd9-44a3-a6bb-2bba8f124492.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/meta/EpistemeAI2/Fireball-Alpaca-Llama3.1.01-8B-Philos/536229bc-b1fb-4078-826c-074b09c362b9.json b/data/hfopenllm_v2/meta/EpistemeAI2/Fireball-Alpaca-Llama3.1.01-8B-Philos/536229bc-b1fb-4078-826c-074b09c362b9.json
deleted file mode 100644
index ec15a5557..000000000
--- a/data/hfopenllm_v2/meta/EpistemeAI2/Fireball-Alpaca-Llama3.1.01-8B-Philos/536229bc-b1fb-4078-826c-074b09c362b9.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/meta/EpistemeAI2/Fireball-Alpaca-Llama3.1.03-8B-Philos/b77a4371-97d7-43a0-892f-a0c01c2b8528.json b/data/hfopenllm_v2/meta/EpistemeAI2/Fireball-Alpaca-Llama3.1.03-8B-Philos/b77a4371-97d7-43a0-892f-a0c01c2b8528.json
deleted file mode 100644
index c2e9d84cb..000000000
--- a/data/hfopenllm_v2/meta/EpistemeAI2/Fireball-Alpaca-Llama3.1.03-8B-Philos/b77a4371-97d7-43a0-892f-a0c01c2b8528.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/EpistemeAI2/Fireball-Alpaca-Llama3.1.04-8B-Philos/de05ec0d-805d-4aa5-8ec3-1dc7446e6c1a.json b/data/hfopenllm_v2/meta/EpistemeAI2/Fireball-Alpaca-Llama3.1.04-8B-Philos/de05ec0d-805d-4aa5-8ec3-1dc7446e6c1a.json
deleted file mode 100644
index c8908639b..000000000
--- a/data/hfopenllm_v2/meta/EpistemeAI2/Fireball-Alpaca-Llama3.1.04-8B-Philos/de05ec0d-805d-4aa5-8ec3-1dc7446e6c1a.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/meta/EpistemeAI2/Fireball-Alpaca-Llama3.1.07-8B-Philos-Math/2790feab-6850-4d51-a3a1-78ada0c56d03.json b/data/hfopenllm_v2/meta/EpistemeAI2/Fireball-Alpaca-Llama3.1.07-8B-Philos-Math/2790feab-6850-4d51-a3a1-78ada0c56d03.json
deleted file mode 100644
index 8625ddb49..000000000
--- a/data/hfopenllm_v2/meta/EpistemeAI2/Fireball-Alpaca-Llama3.1.07-8B-Philos-Math/2790feab-6850-4d51-a3a1-78ada0c56d03.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/meta/EpistemeAI2/Fireball-Alpaca-Llama3.1.08-8B-C-R1-KTO-Reflection/42a38b08-6eb7-449d-99c5-cb0b2b76dd06.json b/data/hfopenllm_v2/meta/EpistemeAI2/Fireball-Alpaca-Llama3.1.08-8B-C-R1-KTO-Reflection/42a38b08-6eb7-449d-99c5-cb0b2b76dd06.json
deleted file mode 100644
index e3010cf93..000000000
--- a/data/hfopenllm_v2/meta/EpistemeAI2/Fireball-Alpaca-Llama3.1.08-8B-C-R1-KTO-Reflection/42a38b08-6eb7-449d-99c5-cb0b2b76dd06.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/meta/EpistemeAI2/Fireball-Alpaca-Llama3.1.08-8B-Philos-C-R1/9ce9031b-76fd-4c33-b209-3011643d9266.json b/data/hfopenllm_v2/meta/EpistemeAI2/Fireball-Alpaca-Llama3.1.08-8B-Philos-C-R1/9ce9031b-76fd-4c33-b209-3011643d9266.json
deleted file mode 100644
index e141bcfc5..000000000
--- a/data/hfopenllm_v2/meta/EpistemeAI2/Fireball-Alpaca-Llama3.1.08-8B-Philos-C-R1/9ce9031b-76fd-4c33-b209-3011643d9266.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/meta/EpistemeAI2/Fireball-Llama-3.1-8B-Philos-Reflection/5ea20ab3-9d05-43f1-a276-7acbd2229fe8.json b/data/hfopenllm_v2/meta/EpistemeAI2/Fireball-Llama-3.1-8B-Philos-Reflection/5ea20ab3-9d05-43f1-a276-7acbd2229fe8.json
deleted file mode 100644
index efb0e091e..000000000
--- a/data/hfopenllm_v2/meta/EpistemeAI2/Fireball-Llama-3.1-8B-Philos-Reflection/5ea20ab3-9d05-43f1-a276-7acbd2229fe8.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/Etherll/Herplete-LLM-Llama-3.1-8b-Ties/febdde9e-8e67-458b-be79-6a9c91a7237a.json b/data/hfopenllm_v2/meta/Etherll/Herplete-LLM-Llama-3.1-8b-Ties/febdde9e-8e67-458b-be79-6a9c91a7237a.json
deleted file mode 100644
index 08897020e..000000000
--- a/data/hfopenllm_v2/meta/Etherll/Herplete-LLM-Llama-3.1-8b-Ties/febdde9e-8e67-458b-be79-6a9c91a7237a.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/Etherll/Herplete-LLM-Llama-3.1-8b/3d70d2d7-1510-45de-93dc-1ba93cb0f24a.json b/data/hfopenllm_v2/meta/Etherll/Herplete-LLM-Llama-3.1-8b/3d70d2d7-1510-45de-93dc-1ba93cb0f24a.json
deleted file mode 100644
index 0131221ed..000000000
--- a/data/hfopenllm_v2/meta/Etherll/Herplete-LLM-Llama-3.1-8b/3d70d2d7-1510-45de-93dc-1ba93cb0f24a.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/Etherll/Herplete-LLM-Llama-3.1-8b/52e6e50e-4621-491f-9e46-8d6d398c4344.json b/data/hfopenllm_v2/meta/Etherll/Herplete-LLM-Llama-3.1-8b/52e6e50e-4621-491f-9e46-8d6d398c4344.json
deleted file mode 100644
index 06e7f2a56..000000000
--- a/data/hfopenllm_v2/meta/Etherll/Herplete-LLM-Llama-3.1-8b/52e6e50e-4621-491f-9e46-8d6d398c4344.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/Etherll/Replete-LLM-V3-Llama-3.1-8b/66846c9d-e2bc-416d-95b4-fed31d1b781b.json b/data/hfopenllm_v2/meta/Etherll/Replete-LLM-V3-Llama-3.1-8b/66846c9d-e2bc-416d-95b4-fed31d1b781b.json
deleted file mode 100644
index 0314efe89..000000000
--- a/data/hfopenllm_v2/meta/Etherll/Replete-LLM-V3-Llama-3.1-8b/66846c9d-e2bc-416d-95b4-fed31d1b781b.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/Eurdem/Defne-llama3.1-8B/52eb695b-3d17-4abe-a386-7927348e5dd5.json b/data/hfopenllm_v2/meta/Eurdem/Defne-llama3.1-8B/52eb695b-3d17-4abe-a386-7927348e5dd5.json
deleted file mode 100644
index 05632eab4..000000000
--- a/data/hfopenllm_v2/meta/Eurdem/Defne-llama3.1-8B/52eb695b-3d17-4abe-a386-7927348e5dd5.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/GenVRadmin/llama38bGenZ_Vikas-Merged/22a01298-038f-4069-b847-43409d2d4baa.json b/data/hfopenllm_v2/meta/GenVRadmin/llama38bGenZ_Vikas-Merged/22a01298-038f-4069-b847-43409d2d4baa.json
deleted file mode 100644
index 8582011bc..000000000
--- a/data/hfopenllm_v2/meta/GenVRadmin/llama38bGenZ_Vikas-Merged/22a01298-038f-4069-b847-43409d2d4baa.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/Groq/Llama-3-Groq-8B-Tool-Use/636b3b4a-dc1f-4008-83ba-0d83fdcd5acb.json b/data/hfopenllm_v2/meta/Groq/Llama-3-Groq-8B-Tool-Use/636b3b4a-dc1f-4008-83ba-0d83fdcd5acb.json
deleted file mode 100644
index d80132ade..000000000
--- a/data/hfopenllm_v2/meta/Groq/Llama-3-Groq-8B-Tool-Use/636b3b4a-dc1f-4008-83ba-0d83fdcd5acb.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/Gryphe/Pantheon-RP-1.0-8b-Llama-3/a3abb802-acd8-49c7-bcff-3b79a4023d96.json b/data/hfopenllm_v2/meta/Gryphe/Pantheon-RP-1.0-8b-Llama-3/a3abb802-acd8-49c7-bcff-3b79a4023d96.json
deleted file mode 100644
index 21e325f83..000000000
--- a/data/hfopenllm_v2/meta/Gryphe/Pantheon-RP-1.0-8b-Llama-3/a3abb802-acd8-49c7-bcff-3b79a4023d96.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/HPAI-BSC/Llama3-Aloe-8B-Alpha/10d1f626-64f0-4f43-9597-1221cf94c948.json b/data/hfopenllm_v2/meta/HPAI-BSC/Llama3-Aloe-8B-Alpha/10d1f626-64f0-4f43-9597-1221cf94c948.json
deleted file mode 100644
index e36c4917b..000000000
--- a/data/hfopenllm_v2/meta/HPAI-BSC/Llama3-Aloe-8B-Alpha/10d1f626-64f0-4f43-9597-1221cf94c948.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/HPAI-BSC/Llama3.1-Aloe-Beta-8B/d7410909-8a7c-4afb-9cab-2537f837a9a1.json b/data/hfopenllm_v2/meta/HPAI-BSC/Llama3.1-Aloe-Beta-8B/d7410909-8a7c-4afb-9cab-2537f837a9a1.json
deleted file mode 100644
index 0792c0cc8..000000000
--- a/data/hfopenllm_v2/meta/HPAI-BSC/Llama3.1-Aloe-Beta-8B/d7410909-8a7c-4afb-9cab-2537f837a9a1.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/Hastagaras/Llama-3.1-Jamet-8B-MK.I/be7d90fa-86be-4f3b-a3ef-2e1475b7bd64.json b/data/hfopenllm_v2/meta/Hastagaras/Llama-3.1-Jamet-8B-MK.I/be7d90fa-86be-4f3b-a3ef-2e1475b7bd64.json
deleted file mode 100644
index a7bef9352..000000000
--- a/data/hfopenllm_v2/meta/Hastagaras/Llama-3.1-Jamet-8B-MK.I/be7d90fa-86be-4f3b-a3ef-2e1475b7bd64.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/Hastagaras/Zabuza-8B-Llama-3.1/fb698ce2-d422-46eb-aa98-17fb7645461a.json b/data/hfopenllm_v2/meta/Hastagaras/Zabuza-8B-Llama-3.1/fb698ce2-d422-46eb-aa98-17fb7645461a.json
deleted file mode 100644
index 792cbc0c4..000000000
--- a/data/hfopenllm_v2/meta/Hastagaras/Zabuza-8B-Llama-3.1/fb698ce2-d422-46eb-aa98-17fb7645461a.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/HiroseKoichi/Llama-Salad-4x8B-V3/69037dce-5276-4e26-aa05-0a7bd2c4739b.json b/data/hfopenllm_v2/meta/HiroseKoichi/Llama-Salad-4x8B-V3/69037dce-5276-4e26-aa05-0a7bd2c4739b.json
deleted file mode 100644
index 488c09054..000000000
--- a/data/hfopenllm_v2/meta/HiroseKoichi/Llama-Salad-4x8B-V3/69037dce-5276-4e26-aa05-0a7bd2c4739b.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/HoangHa/Pensez-Llama3.1-8B/d27e73c5-654c-48c6-ad60-652a60bda72c.json b/data/hfopenllm_v2/meta/HoangHa/Pensez-Llama3.1-8B/d27e73c5-654c-48c6-ad60-652a60bda72c.json
deleted file mode 100644
index 192db37ae..000000000
--- a/data/hfopenllm_v2/meta/HoangHa/Pensez-Llama3.1-8B/d27e73c5-654c-48c6-ad60-652a60bda72c.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/IDEA-CCNL/Ziya-LLaMA-13B-v1/98616cce-563a-4977-b5c0-bf8df3102303.json b/data/hfopenllm_v2/meta/IDEA-CCNL/Ziya-LLaMA-13B-v1/98616cce-563a-4977-b5c0-bf8df3102303.json
deleted file mode 100644
index ec4a64141..000000000
--- a/data/hfopenllm_v2/meta/IDEA-CCNL/Ziya-LLaMA-13B-v1/98616cce-563a-4977-b5c0-bf8df3102303.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/Infinirc/Infinirc-Llama3-8B-2G-Release-v1.0/8c8a47f2-c8cf-4ea8-b0ee-0180aeb1b9f0.json b/data/hfopenllm_v2/meta/Infinirc/Infinirc-Llama3-8B-2G-Release-v1.0/8c8a47f2-c8cf-4ea8-b0ee-0180aeb1b9f0.json
deleted file mode 100644
index ee5947748..000000000
--- a/data/hfopenllm_v2/meta/Infinirc/Infinirc-Llama3-8B-2G-Release-v1.0/8c8a47f2-c8cf-4ea8-b0ee-0180aeb1b9f0.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/meta/IntervitensInc/internlm2_5-20b-llamafied/5be7b084-b018-457a-a5d6-c9e3e9d3f70e.json b/data/hfopenllm_v2/meta/IntervitensInc/internlm2_5-20b-llamafied/5be7b084-b018-457a-a5d6-c9e3e9d3f70e.json
deleted file mode 100644
index 941170ce9..000000000
--- a/data/hfopenllm_v2/meta/IntervitensInc/internlm2_5-20b-llamafied/5be7b084-b018-457a-a5d6-c9e3e9d3f70e.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/JackFram/llama-160m/11a0fc6d-5370-456e-8c01-5d7ed19e4b59.json b/data/hfopenllm_v2/meta/JackFram/llama-160m/11a0fc6d-5370-456e-8c01-5d7ed19e4b59.json
deleted file mode 100644
index 328268047..000000000
--- a/data/hfopenllm_v2/meta/JackFram/llama-160m/11a0fc6d-5370-456e-8c01-5d7ed19e4b59.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/JackFram/llama-68m/3b05e3fd-4bf0-42a3-8dc5-13292ece8c77.json b/data/hfopenllm_v2/meta/JackFram/llama-68m/3b05e3fd-4bf0-42a3-8dc5-13292ece8c77.json
deleted file mode 100644
index 5c7a77628..000000000
--- a/data/hfopenllm_v2/meta/JackFram/llama-68m/3b05e3fd-4bf0-42a3-8dc5-13292ece8c77.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/Joseph717171/Hermes-3-Llama-3.1-8B_TIES_with_Base_Embeds_Initialized_to_Special_Instruct_Toks_dtypeF32/26dd2a1f-27ae-4311-9b80-f5a8f0fa456a.json b/data/hfopenllm_v2/meta/Joseph717171/Hermes-3-Llama-3.1-8B_TIES_with_Base_Embeds_Initialized_to_Special_Instruct_Toks_dtypeF32/26dd2a1f-27ae-4311-9b80-f5a8f0fa456a.json
deleted file mode 100644
index 225e98fb9..000000000
--- a/data/hfopenllm_v2/meta/Joseph717171/Hermes-3-Llama-3.1-8B_TIES_with_Base_Embeds_Initialized_to_Special_Instruct_Toks_dtypeF32/26dd2a1f-27ae-4311-9b80-f5a8f0fa456a.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/meta/Joseph717171/Llama-3.1-SuperNova-8B-Lite_TIES_with_Base/e5843711-00cb-4167-a47d-4874af0c3ba2.json b/data/hfopenllm_v2/meta/Joseph717171/Llama-3.1-SuperNova-8B-Lite_TIES_with_Base/e5843711-00cb-4167-a47d-4874af0c3ba2.json
deleted file mode 100644
index e78ebb6e6..000000000
--- a/data/hfopenllm_v2/meta/Joseph717171/Llama-3.1-SuperNova-8B-Lite_TIES_with_Base/e5843711-00cb-4167-a47d-4874af0c3ba2.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/Josephgflowers/Differential-Attention-Liquid-Metal-Tinyllama/670580f3-ca8a-473d-a3df-8c01952bda00.json b/data/hfopenllm_v2/meta/Josephgflowers/Differential-Attention-Liquid-Metal-Tinyllama/670580f3-ca8a-473d-a3df-8c01952bda00.json
deleted file mode 100644
index 81d20b7d4..000000000
--- a/data/hfopenllm_v2/meta/Josephgflowers/Differential-Attention-Liquid-Metal-Tinyllama/670580f3-ca8a-473d-a3df-8c01952bda00.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/Josephgflowers/TinyLlama-Cinder-Agent-v1/00332c0d-d698-4ecd-9c2d-5f56921709d5.json b/data/hfopenllm_v2/meta/Josephgflowers/TinyLlama-Cinder-Agent-v1/00332c0d-d698-4ecd-9c2d-5f56921709d5.json
deleted file mode 100644
index 6db903420..000000000
--- a/data/hfopenllm_v2/meta/Josephgflowers/TinyLlama-Cinder-Agent-v1/00332c0d-d698-4ecd-9c2d-5f56921709d5.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/Josephgflowers/TinyLlama-v1.1-Cinders-World/2b993039-8980-4578-a9e2-a22a39385664.json b/data/hfopenllm_v2/meta/Josephgflowers/TinyLlama-v1.1-Cinders-World/2b993039-8980-4578-a9e2-a22a39385664.json
deleted file mode 100644
index e554b1681..000000000
--- a/data/hfopenllm_v2/meta/Josephgflowers/TinyLlama-v1.1-Cinders-World/2b993039-8980-4578-a9e2-a22a39385664.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/Josephgflowers/TinyLlama_v1.1_math_code-world-test-1/72cf7999-e4cb-4987-a694-cdcfae37bb02.json b/data/hfopenllm_v2/meta/Josephgflowers/TinyLlama_v1.1_math_code-world-test-1/72cf7999-e4cb-4987-a694-cdcfae37bb02.json
deleted file mode 100644
index 2dea4a4c4..000000000
--- a/data/hfopenllm_v2/meta/Josephgflowers/TinyLlama_v1.1_math_code-world-test-1/72cf7999-e4cb-4987-a694-cdcfae37bb02.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/Josephgflowers/Tinyllama-STEM-Cinder-Agent-v1/0c22748e-74ad-4bac-a714-c64a19a88af7.json b/data/hfopenllm_v2/meta/Josephgflowers/Tinyllama-STEM-Cinder-Agent-v1/0c22748e-74ad-4bac-a714-c64a19a88af7.json
deleted file mode 100644
index 3c8f24fab..000000000
--- a/data/hfopenllm_v2/meta/Josephgflowers/Tinyllama-STEM-Cinder-Agent-v1/0c22748e-74ad-4bac-a714-c64a19a88af7.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/Josephgflowers/Tinyllama-r1/4293bc9f-4968-4af9-acd2-0ada64be43d4.json b/data/hfopenllm_v2/meta/Josephgflowers/Tinyllama-r1/4293bc9f-4968-4af9-acd2-0ada64be43d4.json
deleted file mode 100644
index 23ce926e4..000000000
--- a/data/hfopenllm_v2/meta/Josephgflowers/Tinyllama-r1/4293bc9f-4968-4af9-acd2-0ada64be43d4.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/KingNish/Reasoning-Llama-3b-v0.1/5f6f312f-3131-417d-b12e-3e30bb998d27.json b/data/hfopenllm_v2/meta/KingNish/Reasoning-Llama-3b-v0.1/5f6f312f-3131-417d-b12e-3e30bb998d27.json
deleted file mode 100644
index 984cb85b1..000000000
--- a/data/hfopenllm_v2/meta/KingNish/Reasoning-Llama-3b-v0.1/5f6f312f-3131-417d-b12e-3e30bb998d27.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/meta/Kukedlc/NeuralLLaMa-3-8b-DT-v0.1/ec1bea6a-91e2-41c9-ab54-af84bf1a1d15.json b/data/hfopenllm_v2/meta/Kukedlc/NeuralLLaMa-3-8b-DT-v0.1/ec1bea6a-91e2-41c9-ab54-af84bf1a1d15.json
deleted file mode 100644
index 89d13b2a3..000000000
--- a/data/hfopenllm_v2/meta/Kukedlc/NeuralLLaMa-3-8b-DT-v0.1/ec1bea6a-91e2-41c9-ab54-af84bf1a1d15.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/Kukedlc/NeuralLLaMa-3-8b-ORPO-v0.3/02d060d9-d545-445b-8d22-4ae117b8f324.json b/data/hfopenllm_v2/meta/Kukedlc/NeuralLLaMa-3-8b-ORPO-v0.3/02d060d9-d545-445b-8d22-4ae117b8f324.json
deleted file mode 100644
index 1bcae3e8c..000000000
--- a/data/hfopenllm_v2/meta/Kukedlc/NeuralLLaMa-3-8b-ORPO-v0.3/02d060d9-d545-445b-8d22-4ae117b8f324.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/meta/LEESM/llama-2-7b-hf-lora-oki100p/13881952-9fe3-4308-93d5-912e59465d6e.json b/data/hfopenllm_v2/meta/LEESM/llama-2-7b-hf-lora-oki100p/13881952-9fe3-4308-93d5-912e59465d6e.json
deleted file mode 100644
index 78bb0cb2d..000000000
--- a/data/hfopenllm_v2/meta/LEESM/llama-2-7b-hf-lora-oki100p/13881952-9fe3-4308-93d5-912e59465d6e.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/LEESM/llama-2-7b-hf-lora-oki10p/9fb11511-0c66-495a-b634-da6bb0934706.json b/data/hfopenllm_v2/meta/LEESM/llama-2-7b-hf-lora-oki10p/9fb11511-0c66-495a-b634-da6bb0934706.json
deleted file mode 100644
index ccfdfb6d9..000000000
--- a/data/hfopenllm_v2/meta/LEESM/llama-2-7b-hf-lora-oki10p/9fb11511-0c66-495a-b634-da6bb0934706.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/LEESM/llama-3-8b-bnb-4b-kowiki231101/5f540be5-6932-41f4-b588-b88f8cfb89c7.json b/data/hfopenllm_v2/meta/LEESM/llama-3-8b-bnb-4b-kowiki231101/5f540be5-6932-41f4-b588-b88f8cfb89c7.json
deleted file mode 100644
index d7bcfb4fc..000000000
--- a/data/hfopenllm_v2/meta/LEESM/llama-3-8b-bnb-4b-kowiki231101/5f540be5-6932-41f4-b588-b88f8cfb89c7.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/meta/LEESM/llama-3-Korean-Bllossom-8B-trexlab-oki10p/629b8df0-6ce3-4230-baf7-45b3944bf0d5.json b/data/hfopenllm_v2/meta/LEESM/llama-3-Korean-Bllossom-8B-trexlab-oki10p/629b8df0-6ce3-4230-baf7-45b3944bf0d5.json
deleted file mode 100644
index 34eb17eeb..000000000
--- a/data/hfopenllm_v2/meta/LEESM/llama-3-Korean-Bllossom-8B-trexlab-oki10p/629b8df0-6ce3-4230-baf7-45b3944bf0d5.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/meta/LimYeri/CodeMind-Llama3-8B-unsloth_v2-merged/0338e807-8f8e-41d9-b4ac-d80239340678.json b/data/hfopenllm_v2/meta/LimYeri/CodeMind-Llama3-8B-unsloth_v2-merged/0338e807-8f8e-41d9-b4ac-d80239340678.json
deleted file mode 100644
index 854ec7c38..000000000
--- a/data/hfopenllm_v2/meta/LimYeri/CodeMind-Llama3-8B-unsloth_v2-merged/0338e807-8f8e-41d9-b4ac-d80239340678.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/meta/LimYeri/CodeMind-Llama3-8B-unsloth_v3-merged/c96743a9-b5ca-40ab-a86a-ed1c7ab8ddfd.json b/data/hfopenllm_v2/meta/LimYeri/CodeMind-Llama3-8B-unsloth_v3-merged/c96743a9-b5ca-40ab-a86a-ed1c7ab8ddfd.json
deleted file mode 100644
index 7586ea330..000000000
--- a/data/hfopenllm_v2/meta/LimYeri/CodeMind-Llama3-8B-unsloth_v3-merged/c96743a9-b5ca-40ab-a86a-ed1c7ab8ddfd.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/LimYeri/CodeMind-Llama3-8B-unsloth_v4-one-merged/0f52efcb-1b9b-4df1-820b-a8c0698481a7.json b/data/hfopenllm_v2/meta/LimYeri/CodeMind-Llama3-8B-unsloth_v4-one-merged/0f52efcb-1b9b-4df1-820b-a8c0698481a7.json
deleted file mode 100644
index 17789ae87..000000000
--- a/data/hfopenllm_v2/meta/LimYeri/CodeMind-Llama3-8B-unsloth_v4-one-merged/0f52efcb-1b9b-4df1-820b-a8c0698481a7.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/LimYeri/CodeMind-Llama3.1-8B-unsloth-merged/82d77852-64e4-4dd0-a636-785958786fd2.json b/data/hfopenllm_v2/meta/LimYeri/CodeMind-Llama3.1-8B-unsloth-merged/82d77852-64e4-4dd0-a636-785958786fd2.json
deleted file mode 100644
index 2f7a69538..000000000
--- a/data/hfopenllm_v2/meta/LimYeri/CodeMind-Llama3.1-8B-unsloth-merged/82d77852-64e4-4dd0-a636-785958786fd2.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/Locutusque/Hercules-6.0-Llama-3.1-8B/2084dde6-b1e3-457b-9854-ace18cc5d943.json b/data/hfopenllm_v2/meta/Locutusque/Hercules-6.0-Llama-3.1-8B/2084dde6-b1e3-457b-9854-ace18cc5d943.json
deleted file mode 100644
index 298b05471..000000000
--- a/data/hfopenllm_v2/meta/Locutusque/Hercules-6.0-Llama-3.1-8B/2084dde6-b1e3-457b-9854-ace18cc5d943.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/meta/Locutusque/Hercules-6.1-Llama-3.1-8B/267ac6ef-168e-489b-a7cc-0ff448b0acbf.json b/data/hfopenllm_v2/meta/Locutusque/Hercules-6.1-Llama-3.1-8B/267ac6ef-168e-489b-a7cc-0ff448b0acbf.json
deleted file mode 100644
index 7335565ad..000000000
--- a/data/hfopenllm_v2/meta/Locutusque/Hercules-6.1-Llama-3.1-8B/267ac6ef-168e-489b-a7cc-0ff448b0acbf.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/Locutusque/Llama-3-NeuralHercules-5.0-8B/0c540f58-808b-42fc-b4b9-346367742f70.json b/data/hfopenllm_v2/meta/Locutusque/Llama-3-NeuralHercules-5.0-8B/0c540f58-808b-42fc-b4b9-346367742f70.json
deleted file mode 100644
index b5da0e8b1..000000000
--- a/data/hfopenllm_v2/meta/Locutusque/Llama-3-NeuralHercules-5.0-8B/0c540f58-808b-42fc-b4b9-346367742f70.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/Locutusque/Llama-3-Yggdrasil-2.0-8B/478f0d4e-41e5-41c7-b9da-07db69c1d561.json b/data/hfopenllm_v2/meta/Locutusque/Llama-3-Yggdrasil-2.0-8B/478f0d4e-41e5-41c7-b9da-07db69c1d561.json
deleted file mode 100644
index 9725541dd..000000000
--- a/data/hfopenllm_v2/meta/Locutusque/Llama-3-Yggdrasil-2.0-8B/478f0d4e-41e5-41c7-b9da-07db69c1d561.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/Lyte/Llama-3.2-3B-Overthinker/d997330d-6679-4d63-839c-677694ea4abc.json b/data/hfopenllm_v2/meta/Lyte/Llama-3.2-3B-Overthinker/d997330d-6679-4d63-839c-677694ea4abc.json
deleted file mode 100644
index 63b9b9610..000000000
--- a/data/hfopenllm_v2/meta/Lyte/Llama-3.2-3B-Overthinker/d997330d-6679-4d63-839c-677694ea4abc.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/MLP-KTLim/llama-3-Korean-Bllossom-8B/31a37662-052e-440c-a475-66543b6c52b1.json b/data/hfopenllm_v2/meta/MLP-KTLim/llama-3-Korean-Bllossom-8B/31a37662-052e-440c-a475-66543b6c52b1.json
deleted file mode 100644
index a6a4d12ee..000000000
--- a/data/hfopenllm_v2/meta/MLP-KTLim/llama-3-Korean-Bllossom-8B/31a37662-052e-440c-a475-66543b6c52b1.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/Magpie-Align/Llama-3-8B-Magpie-Align-v0.1/c819ae59-5f32-4bba-a835-84fa9497de6b.json b/data/hfopenllm_v2/meta/Magpie-Align/Llama-3-8B-Magpie-Align-v0.1/c819ae59-5f32-4bba-a835-84fa9497de6b.json
deleted file mode 100644
index 160957404..000000000
--- a/data/hfopenllm_v2/meta/Magpie-Align/Llama-3-8B-Magpie-Align-v0.1/c819ae59-5f32-4bba-a835-84fa9497de6b.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/Magpie-Align/Llama-3-8B-Magpie-Align-v0.1/ced5680b-ff4a-42be-a609-6fc2541d6109.json b/data/hfopenllm_v2/meta/Magpie-Align/Llama-3-8B-Magpie-Align-v0.1/ced5680b-ff4a-42be-a609-6fc2541d6109.json
deleted file mode 100644
index a3a7cf75a..000000000
--- a/data/hfopenllm_v2/meta/Magpie-Align/Llama-3-8B-Magpie-Align-v0.1/ced5680b-ff4a-42be-a609-6fc2541d6109.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/meta/Magpie-Align/Llama-3-8B-Magpie-Align-v0.3/f58be76c-043d-4ad9-81df-9a94d380808c.json b/data/hfopenllm_v2/meta/Magpie-Align/Llama-3-8B-Magpie-Align-v0.3/f58be76c-043d-4ad9-81df-9a94d380808c.json
deleted file mode 100644
index 6f999e358..000000000
--- a/data/hfopenllm_v2/meta/Magpie-Align/Llama-3-8B-Magpie-Align-v0.3/f58be76c-043d-4ad9-81df-9a94d380808c.json
+++ /dev/null
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diff --git a/data/hfopenllm_v2/meta/Magpie-Align/Llama-3.1-8B-Magpie-Align-v0.1/80e08062-397f-40d4-b6b2-a3e03d9cc320.json b/data/hfopenllm_v2/meta/Magpie-Align/Llama-3.1-8B-Magpie-Align-v0.1/80e08062-397f-40d4-b6b2-a3e03d9cc320.json
deleted file mode 100644
index 927e906ec..000000000
--- a/data/hfopenllm_v2/meta/Magpie-Align/Llama-3.1-8B-Magpie-Align-v0.1/80e08062-397f-40d4-b6b2-a3e03d9cc320.json
+++ /dev/null
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diff --git a/data/hfopenllm_v2/meta/MagusCorp/grpo_lora_enem_llama3_7b/22c931f2-cf99-46b1-b4f8-50db5a172a66.json b/data/hfopenllm_v2/meta/MagusCorp/grpo_lora_enem_llama3_7b/22c931f2-cf99-46b1-b4f8-50db5a172a66.json
deleted file mode 100644
index 0823b9133..000000000
--- a/data/hfopenllm_v2/meta/MagusCorp/grpo_lora_enem_llama3_7b/22c931f2-cf99-46b1-b4f8-50db5a172a66.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/meta/MaziyarPanahi/calme-2.1-llama3.1-70b/e216df49-368d-457f-9153-e33741b7b847.json b/data/hfopenllm_v2/meta/MaziyarPanahi/calme-2.1-llama3.1-70b/e216df49-368d-457f-9153-e33741b7b847.json
deleted file mode 100644
index 7c4c6a297..000000000
--- a/data/hfopenllm_v2/meta/MaziyarPanahi/calme-2.1-llama3.1-70b/e216df49-368d-457f-9153-e33741b7b847.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/meta/MaziyarPanahi/calme-2.2-llama3-70b/8b86e8c3-eb04-41a8-91e3-3eef396aca4f.json b/data/hfopenllm_v2/meta/MaziyarPanahi/calme-2.2-llama3-70b/8b86e8c3-eb04-41a8-91e3-3eef396aca4f.json
deleted file mode 100644
index ce47c4c10..000000000
--- a/data/hfopenllm_v2/meta/MaziyarPanahi/calme-2.2-llama3-70b/8b86e8c3-eb04-41a8-91e3-3eef396aca4f.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/meta/MaziyarPanahi/calme-2.2-llama3.1-70b/9112c2ec-cf0e-4d2c-9261-14ebb8706d69.json b/data/hfopenllm_v2/meta/MaziyarPanahi/calme-2.2-llama3.1-70b/9112c2ec-cf0e-4d2c-9261-14ebb8706d69.json
deleted file mode 100644
index 77953022d..000000000
--- a/data/hfopenllm_v2/meta/MaziyarPanahi/calme-2.2-llama3.1-70b/9112c2ec-cf0e-4d2c-9261-14ebb8706d69.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/MaziyarPanahi/calme-2.3-llama3-70b/66d7e97b-0a79-4d39-8d6b-cf083239aa93.json b/data/hfopenllm_v2/meta/MaziyarPanahi/calme-2.3-llama3-70b/66d7e97b-0a79-4d39-8d6b-cf083239aa93.json
deleted file mode 100644
index c4002f02f..000000000
--- a/data/hfopenllm_v2/meta/MaziyarPanahi/calme-2.3-llama3-70b/66d7e97b-0a79-4d39-8d6b-cf083239aa93.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/MaziyarPanahi/calme-2.3-llama3.1-70b/7e8b2abe-68e5-445b-ae22-5b827e53b72d.json b/data/hfopenllm_v2/meta/MaziyarPanahi/calme-2.3-llama3.1-70b/7e8b2abe-68e5-445b-ae22-5b827e53b72d.json
deleted file mode 100644
index 1e43a7c9d..000000000
--- a/data/hfopenllm_v2/meta/MaziyarPanahi/calme-2.3-llama3.1-70b/7e8b2abe-68e5-445b-ae22-5b827e53b72d.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/MaziyarPanahi/calme-2.4-llama3-70b/8cf1e62b-f646-4082-9d10-8cf376154d40.json b/data/hfopenllm_v2/meta/MaziyarPanahi/calme-2.4-llama3-70b/8cf1e62b-f646-4082-9d10-8cf376154d40.json
deleted file mode 100644
index f4566a849..000000000
--- a/data/hfopenllm_v2/meta/MaziyarPanahi/calme-2.4-llama3-70b/8cf1e62b-f646-4082-9d10-8cf376154d40.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/meta/MaziyarPanahi/calme-3.1-llamaloi-3b/0acfe83d-3876-4c08-9b26-931450d24bfd.json b/data/hfopenllm_v2/meta/MaziyarPanahi/calme-3.1-llamaloi-3b/0acfe83d-3876-4c08-9b26-931450d24bfd.json
deleted file mode 100644
index 1a71a47c4..000000000
--- a/data/hfopenllm_v2/meta/MaziyarPanahi/calme-3.1-llamaloi-3b/0acfe83d-3876-4c08-9b26-931450d24bfd.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/meta/MoonRide/Llama-3.2-3B-Khelavaster/ed373700-5ff1-4a84-8746-12ec4c278e00.json b/data/hfopenllm_v2/meta/MoonRide/Llama-3.2-3B-Khelavaster/ed373700-5ff1-4a84-8746-12ec4c278e00.json
deleted file mode 100644
index f054c86d8..000000000
--- a/data/hfopenllm_v2/meta/MoonRide/Llama-3.2-3B-Khelavaster/ed373700-5ff1-4a84-8746-12ec4c278e00.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/NAPS-ai/naps-llama-3_1_instruct-v0.6.0/3378460d-d044-4c7e-ba9f-48cc94f0bc3f.json b/data/hfopenllm_v2/meta/NAPS-ai/naps-llama-3_1_instruct-v0.6.0/3378460d-d044-4c7e-ba9f-48cc94f0bc3f.json
deleted file mode 100644
index e4793e71a..000000000
--- a/data/hfopenllm_v2/meta/NAPS-ai/naps-llama-3_1_instruct-v0.6.0/3378460d-d044-4c7e-ba9f-48cc94f0bc3f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/NAPS-ai/naps-llama3.1-70B-v0.2-fp16/16b6df0d-8e1b-4bec-b3f9-060273a4ad15.json b/data/hfopenllm_v2/meta/NAPS-ai/naps-llama3.1-70B-v0.2-fp16/16b6df0d-8e1b-4bec-b3f9-060273a4ad15.json
deleted file mode 100644
index f69367064..000000000
--- a/data/hfopenllm_v2/meta/NAPS-ai/naps-llama3.1-70B-v0.2-fp16/16b6df0d-8e1b-4bec-b3f9-060273a4ad15.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/Naveenpoliasetty/llama3-8B-V2/53ae919d-c56b-415f-87c0-c6273730357b.json b/data/hfopenllm_v2/meta/Naveenpoliasetty/llama3-8B-V2/53ae919d-c56b-415f-87c0-c6273730357b.json
deleted file mode 100644
index e02813a99..000000000
--- a/data/hfopenllm_v2/meta/Naveenpoliasetty/llama3-8B-V2/53ae919d-c56b-415f-87c0-c6273730357b.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/Nekochu/Llama-3.1-8B-German-ORPO/83da2d8f-542c-4d21-88f9-b83f4e960579.json b/data/hfopenllm_v2/meta/Nekochu/Llama-3.1-8B-German-ORPO/83da2d8f-542c-4d21-88f9-b83f4e960579.json
deleted file mode 100644
index e2672ae1b..000000000
--- a/data/hfopenllm_v2/meta/Nekochu/Llama-3.1-8B-German-ORPO/83da2d8f-542c-4d21-88f9-b83f4e960579.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/Nexesenex/Dolphin3.0-Llama3.1-1B-abliterated/ed950058-9f6b-4ed6-9d41-0d2674dc19d1.json b/data/hfopenllm_v2/meta/Nexesenex/Dolphin3.0-Llama3.1-1B-abliterated/ed950058-9f6b-4ed6-9d41-0d2674dc19d1.json
deleted file mode 100644
index dd94c3699..000000000
--- a/data/hfopenllm_v2/meta/Nexesenex/Dolphin3.0-Llama3.1-1B-abliterated/ed950058-9f6b-4ed6-9d41-0d2674dc19d1.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/Nexesenex/Llama_3.1_8b_DeepDive_3_Prev_v1.0/67010272-067a-4dd4-a31d-9da58d72118e.json b/data/hfopenllm_v2/meta/Nexesenex/Llama_3.1_8b_DeepDive_3_Prev_v1.0/67010272-067a-4dd4-a31d-9da58d72118e.json
deleted file mode 100644
index debe182c8..000000000
--- a/data/hfopenllm_v2/meta/Nexesenex/Llama_3.1_8b_DeepDive_3_Prev_v1.0/67010272-067a-4dd4-a31d-9da58d72118e.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/Nexesenex/Llama_3.1_8b_DeepDive_3_R1_Prev_v1.0/9aa57eda-6d6a-449e-801d-96e16499ddd6.json b/data/hfopenllm_v2/meta/Nexesenex/Llama_3.1_8b_DeepDive_3_R1_Prev_v1.0/9aa57eda-6d6a-449e-801d-96e16499ddd6.json
deleted file mode 100644
index cbb148902..000000000
--- a/data/hfopenllm_v2/meta/Nexesenex/Llama_3.1_8b_DeepDive_3_R1_Prev_v1.0/9aa57eda-6d6a-449e-801d-96e16499ddd6.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/Nexesenex/Llama_3.1_8b_DobHerWild_R1_v1.1R/bedae6ba-9f3b-435b-bb7f-cadb7a684804.json b/data/hfopenllm_v2/meta/Nexesenex/Llama_3.1_8b_DobHerWild_R1_v1.1R/bedae6ba-9f3b-435b-bb7f-cadb7a684804.json
deleted file mode 100644
index d07f0cedc..000000000
--- a/data/hfopenllm_v2/meta/Nexesenex/Llama_3.1_8b_DobHerWild_R1_v1.1R/bedae6ba-9f3b-435b-bb7f-cadb7a684804.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/Nexesenex/Llama_3.1_8b_DoberWild_v2.01/8a3df59d-9f38-4682-a760-5fa7903cab99.json b/data/hfopenllm_v2/meta/Nexesenex/Llama_3.1_8b_DoberWild_v2.01/8a3df59d-9f38-4682-a760-5fa7903cab99.json
deleted file mode 100644
index 8a7c2b0d6..000000000
--- a/data/hfopenllm_v2/meta/Nexesenex/Llama_3.1_8b_DoberWild_v2.01/8a3df59d-9f38-4682-a760-5fa7903cab99.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/Nexesenex/Llama_3.1_8b_DoberWild_v2.02/62ef54cd-d97d-473e-9dd2-42fe185e4d04.json b/data/hfopenllm_v2/meta/Nexesenex/Llama_3.1_8b_DoberWild_v2.02/62ef54cd-d97d-473e-9dd2-42fe185e4d04.json
deleted file mode 100644
index 8c222f2c8..000000000
--- a/data/hfopenllm_v2/meta/Nexesenex/Llama_3.1_8b_DoberWild_v2.02/62ef54cd-d97d-473e-9dd2-42fe185e4d04.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/meta/Nexesenex/Llama_3.1_8b_DoberWild_v2.03/b81cbefe-7c08-4bc2-979f-10caf20fa9fa.json b/data/hfopenllm_v2/meta/Nexesenex/Llama_3.1_8b_DoberWild_v2.03/b81cbefe-7c08-4bc2-979f-10caf20fa9fa.json
deleted file mode 100644
index 2ec1a74f9..000000000
--- a/data/hfopenllm_v2/meta/Nexesenex/Llama_3.1_8b_DoberWild_v2.03/b81cbefe-7c08-4bc2-979f-10caf20fa9fa.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/meta/Nexesenex/Llama_3.1_8b_DodoWild_v2.01/78ecc0f4-dcd5-4c25-a598-ef95114f5868.json b/data/hfopenllm_v2/meta/Nexesenex/Llama_3.1_8b_DodoWild_v2.01/78ecc0f4-dcd5-4c25-a598-ef95114f5868.json
deleted file mode 100644
index 139c2b71d..000000000
--- a/data/hfopenllm_v2/meta/Nexesenex/Llama_3.1_8b_DodoWild_v2.01/78ecc0f4-dcd5-4c25-a598-ef95114f5868.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/Nexesenex/Llama_3.1_8b_DodoWild_v2.02/f8448236-89b9-4a9c-949b-9bb45db5e400.json b/data/hfopenllm_v2/meta/Nexesenex/Llama_3.1_8b_DodoWild_v2.02/f8448236-89b9-4a9c-949b-9bb45db5e400.json
deleted file mode 100644
index 83f538115..000000000
--- a/data/hfopenllm_v2/meta/Nexesenex/Llama_3.1_8b_DodoWild_v2.02/f8448236-89b9-4a9c-949b-9bb45db5e400.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/Nexesenex/Llama_3.1_8b_DodoWild_v2.03/3b2b7ebc-be82-4d7d-8bc8-e718513d164c.json b/data/hfopenllm_v2/meta/Nexesenex/Llama_3.1_8b_DodoWild_v2.03/3b2b7ebc-be82-4d7d-8bc8-e718513d164c.json
deleted file mode 100644
index f1b04146b..000000000
--- a/data/hfopenllm_v2/meta/Nexesenex/Llama_3.1_8b_DodoWild_v2.03/3b2b7ebc-be82-4d7d-8bc8-e718513d164c.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/Nexesenex/Llama_3.1_8b_DodoWild_v2.10/ca49f981-e4eb-4235-b472-de832ffedd72.json b/data/hfopenllm_v2/meta/Nexesenex/Llama_3.1_8b_DodoWild_v2.10/ca49f981-e4eb-4235-b472-de832ffedd72.json
deleted file mode 100644
index 8fea1d6ab..000000000
--- a/data/hfopenllm_v2/meta/Nexesenex/Llama_3.1_8b_DodoWild_v2.10/ca49f981-e4eb-4235-b472-de832ffedd72.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/Nexesenex/Llama_3.1_8b_Dolermed_R1_V1.01/ca856917-9100-41ea-9900-91d12be1de44.json b/data/hfopenllm_v2/meta/Nexesenex/Llama_3.1_8b_Dolermed_R1_V1.01/ca856917-9100-41ea-9900-91d12be1de44.json
deleted file mode 100644
index 1cc63cc99..000000000
--- a/data/hfopenllm_v2/meta/Nexesenex/Llama_3.1_8b_Dolermed_R1_V1.01/ca856917-9100-41ea-9900-91d12be1de44.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/Nexesenex/Llama_3.1_8b_Dolermed_R1_V1.03/b1f9e472-38c5-409f-b112-3006bca90b94.json b/data/hfopenllm_v2/meta/Nexesenex/Llama_3.1_8b_Dolermed_R1_V1.03/b1f9e472-38c5-409f-b112-3006bca90b94.json
deleted file mode 100644
index 19351d146..000000000
--- a/data/hfopenllm_v2/meta/Nexesenex/Llama_3.1_8b_Dolermed_R1_V1.03/b1f9e472-38c5-409f-b112-3006bca90b94.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/Nexesenex/Llama_3.1_8b_Dolermed_V1.01/4733fd17-2d7a-44cd-83bf-1201a3173495.json b/data/hfopenllm_v2/meta/Nexesenex/Llama_3.1_8b_Dolermed_V1.01/4733fd17-2d7a-44cd-83bf-1201a3173495.json
deleted file mode 100644
index 0ea021320..000000000
--- a/data/hfopenllm_v2/meta/Nexesenex/Llama_3.1_8b_Dolermed_V1.01/4733fd17-2d7a-44cd-83bf-1201a3173495.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/Nexesenex/Llama_3.1_8b_Dolerstormed_V1.04/9d44d069-44b1-414a-93c1-91b46ceabe66.json b/data/hfopenllm_v2/meta/Nexesenex/Llama_3.1_8b_Dolerstormed_V1.04/9d44d069-44b1-414a-93c1-91b46ceabe66.json
deleted file mode 100644
index 3cea00a5d..000000000
--- a/data/hfopenllm_v2/meta/Nexesenex/Llama_3.1_8b_Dolerstormed_V1.04/9d44d069-44b1-414a-93c1-91b46ceabe66.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/Nexesenex/Llama_3.1_8b_Hermedash_R1_V1.04/615e5bca-6f64-4bf9-a131-eefd7ec32c08.json b/data/hfopenllm_v2/meta/Nexesenex/Llama_3.1_8b_Hermedash_R1_V1.04/615e5bca-6f64-4bf9-a131-eefd7ec32c08.json
deleted file mode 100644
index ab504cabe..000000000
--- a/data/hfopenllm_v2/meta/Nexesenex/Llama_3.1_8b_Hermedash_R1_V1.04/615e5bca-6f64-4bf9-a131-eefd7ec32c08.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/Nexesenex/Llama_3.1_8b_Hermedive_R1_V1.01/82f2d97c-e8d2-47a4-a56b-af781b98ba0b.json b/data/hfopenllm_v2/meta/Nexesenex/Llama_3.1_8b_Hermedive_R1_V1.01/82f2d97c-e8d2-47a4-a56b-af781b98ba0b.json
deleted file mode 100644
index cf2476c38..000000000
--- a/data/hfopenllm_v2/meta/Nexesenex/Llama_3.1_8b_Hermedive_R1_V1.01/82f2d97c-e8d2-47a4-a56b-af781b98ba0b.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/Nexesenex/Llama_3.1_8b_Hermedive_R1_V1.03/e73d5aee-ad0f-4bec-8230-2087669444bb.json b/data/hfopenllm_v2/meta/Nexesenex/Llama_3.1_8b_Hermedive_R1_V1.03/e73d5aee-ad0f-4bec-8230-2087669444bb.json
deleted file mode 100644
index 57726cd78..000000000
--- a/data/hfopenllm_v2/meta/Nexesenex/Llama_3.1_8b_Hermedive_R1_V1.03/e73d5aee-ad0f-4bec-8230-2087669444bb.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/meta/Nexesenex/Llama_3.1_8b_Hermedive_V1.01/99589a08-8f1e-437e-b6f0-e33a9dab5806.json b/data/hfopenllm_v2/meta/Nexesenex/Llama_3.1_8b_Hermedive_V1.01/99589a08-8f1e-437e-b6f0-e33a9dab5806.json
deleted file mode 100644
index 9d2465e50..000000000
--- a/data/hfopenllm_v2/meta/Nexesenex/Llama_3.1_8b_Hermedive_V1.01/99589a08-8f1e-437e-b6f0-e33a9dab5806.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/meta/Nexesenex/Llama_3.1_8b_Mediver_V1.01/35eb03f0-f11e-40d8-a830-7ce2cfde2956.json b/data/hfopenllm_v2/meta/Nexesenex/Llama_3.1_8b_Mediver_V1.01/35eb03f0-f11e-40d8-a830-7ce2cfde2956.json
deleted file mode 100644
index e6c72c06b..000000000
--- a/data/hfopenllm_v2/meta/Nexesenex/Llama_3.1_8b_Mediver_V1.01/35eb03f0-f11e-40d8-a830-7ce2cfde2956.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/Nexesenex/Llama_3.1_8b_Medusa_v1.01/01b841ba-ecb1-4025-91b7-fb2c443ef85c.json b/data/hfopenllm_v2/meta/Nexesenex/Llama_3.1_8b_Medusa_v1.01/01b841ba-ecb1-4025-91b7-fb2c443ef85c.json
deleted file mode 100644
index bef98b238..000000000
--- a/data/hfopenllm_v2/meta/Nexesenex/Llama_3.1_8b_Medusa_v1.01/01b841ba-ecb1-4025-91b7-fb2c443ef85c.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/Nexesenex/Llama_3.1_8b_Smarteaz_0.2_R1/1cbff8d9-a857-4816-8427-0450871021d6.json b/data/hfopenllm_v2/meta/Nexesenex/Llama_3.1_8b_Smarteaz_0.2_R1/1cbff8d9-a857-4816-8427-0450871021d6.json
deleted file mode 100644
index 92829eac6..000000000
--- a/data/hfopenllm_v2/meta/Nexesenex/Llama_3.1_8b_Smarteaz_0.2_R1/1cbff8d9-a857-4816-8427-0450871021d6.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/Nexesenex/Llama_3.1_8b_Smarteaz_V1.01/10cc1ce1-986e-44f5-b14e-a7b44d9de68d.json b/data/hfopenllm_v2/meta/Nexesenex/Llama_3.1_8b_Smarteaz_V1.01/10cc1ce1-986e-44f5-b14e-a7b44d9de68d.json
deleted file mode 100644
index 8833e54f7..000000000
--- a/data/hfopenllm_v2/meta/Nexesenex/Llama_3.1_8b_Smarteaz_V1.01/10cc1ce1-986e-44f5-b14e-a7b44d9de68d.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/meta/Nexesenex/Llama_3.1_8b_Stormeder_v1.04/e831c8bd-5bdd-4f00-9c91-ab4b29dfc66c.json b/data/hfopenllm_v2/meta/Nexesenex/Llama_3.1_8b_Stormeder_v1.04/e831c8bd-5bdd-4f00-9c91-ab4b29dfc66c.json
deleted file mode 100644
index a9517c725..000000000
--- a/data/hfopenllm_v2/meta/Nexesenex/Llama_3.1_8b_Stormeder_v1.04/e831c8bd-5bdd-4f00-9c91-ab4b29dfc66c.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/Nexesenex/Llama_3.1_8b_Typhoon_v1.03/6043c193-a533-4194-8cf5-9ed83d095f0d.json b/data/hfopenllm_v2/meta/Nexesenex/Llama_3.1_8b_Typhoon_v1.03/6043c193-a533-4194-8cf5-9ed83d095f0d.json
deleted file mode 100644
index 4bc512fcf..000000000
--- a/data/hfopenllm_v2/meta/Nexesenex/Llama_3.1_8b_Typhoon_v1.03/6043c193-a533-4194-8cf5-9ed83d095f0d.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/Nexesenex/Llama_3.2_1b_AquaSyn_0.1/4b512748-f6d0-4ed0-8ece-5b853a174329.json b/data/hfopenllm_v2/meta/Nexesenex/Llama_3.2_1b_AquaSyn_0.1/4b512748-f6d0-4ed0-8ece-5b853a174329.json
deleted file mode 100644
index 780a017f5..000000000
--- a/data/hfopenllm_v2/meta/Nexesenex/Llama_3.2_1b_AquaSyn_0.1/4b512748-f6d0-4ed0-8ece-5b853a174329.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/Nexesenex/Llama_3.2_1b_AquaSyn_0.11/d3e57fb7-44cb-408a-9ed6-6387b1f0a543.json b/data/hfopenllm_v2/meta/Nexesenex/Llama_3.2_1b_AquaSyn_0.11/d3e57fb7-44cb-408a-9ed6-6387b1f0a543.json
deleted file mode 100644
index 38fa7ed6c..000000000
--- a/data/hfopenllm_v2/meta/Nexesenex/Llama_3.2_1b_AquaSyn_0.11/d3e57fb7-44cb-408a-9ed6-6387b1f0a543.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/Nexesenex/Llama_3.2_1b_Dolto_0.1/dae3d027-e262-462c-9930-cfee221cef58.json b/data/hfopenllm_v2/meta/Nexesenex/Llama_3.2_1b_Dolto_0.1/dae3d027-e262-462c-9930-cfee221cef58.json
deleted file mode 100644
index 0a076f8d5..000000000
--- a/data/hfopenllm_v2/meta/Nexesenex/Llama_3.2_1b_Dolto_0.1/dae3d027-e262-462c-9930-cfee221cef58.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/Nexesenex/Llama_3.2_1b_Odyssea_V1.01/f3922129-7e69-495d-925b-c3c8a1b70c5a.json b/data/hfopenllm_v2/meta/Nexesenex/Llama_3.2_1b_Odyssea_V1.01/f3922129-7e69-495d-925b-c3c8a1b70c5a.json
deleted file mode 100644
index b42c76625..000000000
--- a/data/hfopenllm_v2/meta/Nexesenex/Llama_3.2_1b_Odyssea_V1.01/f3922129-7e69-495d-925b-c3c8a1b70c5a.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/Nexesenex/Llama_3.2_1b_Odyssea_V1/deb8be23-8976-4dfb-b038-70a4b77de9f6.json b/data/hfopenllm_v2/meta/Nexesenex/Llama_3.2_1b_Odyssea_V1/deb8be23-8976-4dfb-b038-70a4b77de9f6.json
deleted file mode 100644
index 8f34889c8..000000000
--- a/data/hfopenllm_v2/meta/Nexesenex/Llama_3.2_1b_Odyssea_V1/deb8be23-8976-4dfb-b038-70a4b77de9f6.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/Nexesenex/Llama_3.2_1b_OpenTree_R1_0.1/11c52cd6-75e0-4800-9b98-fbc4aa81260d.json b/data/hfopenllm_v2/meta/Nexesenex/Llama_3.2_1b_OpenTree_R1_0.1/11c52cd6-75e0-4800-9b98-fbc4aa81260d.json
deleted file mode 100644
index b2fa7805c..000000000
--- a/data/hfopenllm_v2/meta/Nexesenex/Llama_3.2_1b_OpenTree_R1_0.1/11c52cd6-75e0-4800-9b98-fbc4aa81260d.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/Nexesenex/Llama_3.2_1b_OrcaSun_V1/dd17eeb9-c1d1-4f98-986e-aad15a592891.json b/data/hfopenllm_v2/meta/Nexesenex/Llama_3.2_1b_OrcaSun_V1/dd17eeb9-c1d1-4f98-986e-aad15a592891.json
deleted file mode 100644
index a07595749..000000000
--- a/data/hfopenllm_v2/meta/Nexesenex/Llama_3.2_1b_OrcaSun_V1/dd17eeb9-c1d1-4f98-986e-aad15a592891.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/Nexesenex/Llama_3.2_1b_RandomLego_RP_R1_0.1/8254ed33-9ce6-484d-9171-5402156a1933.json b/data/hfopenllm_v2/meta/Nexesenex/Llama_3.2_1b_RandomLego_RP_R1_0.1/8254ed33-9ce6-484d-9171-5402156a1933.json
deleted file mode 100644
index cbd4632c2..000000000
--- a/data/hfopenllm_v2/meta/Nexesenex/Llama_3.2_1b_RandomLego_RP_R1_0.1/8254ed33-9ce6-484d-9171-5402156a1933.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/Nexesenex/Llama_3.2_1b_SunOrca_V1/848752ff-c92d-4ce2-94e8-5b8c8b765b77.json b/data/hfopenllm_v2/meta/Nexesenex/Llama_3.2_1b_SunOrca_V1/848752ff-c92d-4ce2-94e8-5b8c8b765b77.json
deleted file mode 100644
index 72739f803..000000000
--- a/data/hfopenllm_v2/meta/Nexesenex/Llama_3.2_1b_SunOrca_V1/848752ff-c92d-4ce2-94e8-5b8c8b765b77.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/Nexesenex/Llama_3.2_1b_Sydonia_0.1/980cf18c-0163-414c-8ed0-dff894a328ee.json b/data/hfopenllm_v2/meta/Nexesenex/Llama_3.2_1b_Sydonia_0.1/980cf18c-0163-414c-8ed0-dff894a328ee.json
deleted file mode 100644
index 4bac83dff..000000000
--- a/data/hfopenllm_v2/meta/Nexesenex/Llama_3.2_1b_Sydonia_0.1/980cf18c-0163-414c-8ed0-dff894a328ee.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/Nexesenex/Llama_3.2_1b_Syneridol_0.2/99397e12-f601-478c-af40-c8f428b923a8.json b/data/hfopenllm_v2/meta/Nexesenex/Llama_3.2_1b_Syneridol_0.2/99397e12-f601-478c-af40-c8f428b923a8.json
deleted file mode 100644
index 659715fe8..000000000
--- a/data/hfopenllm_v2/meta/Nexesenex/Llama_3.2_1b_Syneridol_0.2/99397e12-f601-478c-af40-c8f428b923a8.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/Nexesenex/Llama_3.2_1b_Synopsys_0.1/00ccf406-3e59-44cb-af59-6dcd391678ff.json b/data/hfopenllm_v2/meta/Nexesenex/Llama_3.2_1b_Synopsys_0.1/00ccf406-3e59-44cb-af59-6dcd391678ff.json
deleted file mode 100644
index 189f5e7cd..000000000
--- a/data/hfopenllm_v2/meta/Nexesenex/Llama_3.2_1b_Synopsys_0.1/00ccf406-3e59-44cb-af59-6dcd391678ff.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/Nexesenex/Llama_3.2_1b_Synopsys_0.11/6e4a0c11-2349-4846-9d9b-ccf6ef9ea43a.json b/data/hfopenllm_v2/meta/Nexesenex/Llama_3.2_1b_Synopsys_0.11/6e4a0c11-2349-4846-9d9b-ccf6ef9ea43a.json
deleted file mode 100644
index e7d6c471a..000000000
--- a/data/hfopenllm_v2/meta/Nexesenex/Llama_3.2_1b_Synopsys_0.11/6e4a0c11-2349-4846-9d9b-ccf6ef9ea43a.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/Nexesenex/Llama_3.2_3b_Kermes_v1/f81acd72-b38a-424a-878b-833d094518da.json b/data/hfopenllm_v2/meta/Nexesenex/Llama_3.2_3b_Kermes_v1/f81acd72-b38a-424a-878b-833d094518da.json
deleted file mode 100644
index 1d0712d0f..000000000
--- a/data/hfopenllm_v2/meta/Nexesenex/Llama_3.2_3b_Kermes_v1/f81acd72-b38a-424a-878b-833d094518da.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/Nexesenex/Llama_3.2_3b_Kermes_v2.1/f4686eff-f1d7-49e0-85be-2a6c7f125e29.json b/data/hfopenllm_v2/meta/Nexesenex/Llama_3.2_3b_Kermes_v2.1/f4686eff-f1d7-49e0-85be-2a6c7f125e29.json
deleted file mode 100644
index 2c6f34852..000000000
--- a/data/hfopenllm_v2/meta/Nexesenex/Llama_3.2_3b_Kermes_v2.1/f4686eff-f1d7-49e0-85be-2a6c7f125e29.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/Nexesenex/Llama_3.2_3b_Kermes_v2/a3d85774-ddac-436f-9c64-a751d2924bb5.json b/data/hfopenllm_v2/meta/Nexesenex/Llama_3.2_3b_Kermes_v2/a3d85774-ddac-436f-9c64-a751d2924bb5.json
deleted file mode 100644
index 4f9e1eaf4..000000000
--- a/data/hfopenllm_v2/meta/Nexesenex/Llama_3.2_3b_Kermes_v2/a3d85774-ddac-436f-9c64-a751d2924bb5.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/NotASI/FineTome-Llama3.2-1B-0929/2346a7eb-2148-49f3-b960-363ba6b776d4.json b/data/hfopenllm_v2/meta/NotASI/FineTome-Llama3.2-1B-0929/2346a7eb-2148-49f3-b960-363ba6b776d4.json
deleted file mode 100644
index cfd4713db..000000000
--- a/data/hfopenllm_v2/meta/NotASI/FineTome-Llama3.2-1B-0929/2346a7eb-2148-49f3-b960-363ba6b776d4.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/NotASI/FineTome-Llama3.2-3B-1002/e701f5dc-d604-4bbb-8e92-37d69781ae5f.json b/data/hfopenllm_v2/meta/NotASI/FineTome-Llama3.2-3B-1002/e701f5dc-d604-4bbb-8e92-37d69781ae5f.json
deleted file mode 100644
index 9a78f6eb0..000000000
--- a/data/hfopenllm_v2/meta/NotASI/FineTome-Llama3.2-3B-1002/e701f5dc-d604-4bbb-8e92-37d69781ae5f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/NotASI/FineTome-v1.5-Llama3.2-1B-1007/8c67c634-82f0-4bb8-bd70-e98902649d96.json b/data/hfopenllm_v2/meta/NotASI/FineTome-v1.5-Llama3.2-1B-1007/8c67c634-82f0-4bb8-bd70-e98902649d96.json
deleted file mode 100644
index 5d545a2db..000000000
--- a/data/hfopenllm_v2/meta/NotASI/FineTome-v1.5-Llama3.2-1B-1007/8c67c634-82f0-4bb8-bd70-e98902649d96.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/NotASI/FineTome-v1.5-Llama3.2-3B-1007/d8a359e5-2899-4d3f-9fb4-3120f61951f4.json b/data/hfopenllm_v2/meta/NotASI/FineTome-v1.5-Llama3.2-3B-1007/d8a359e5-2899-4d3f-9fb4-3120f61951f4.json
deleted file mode 100644
index 1e4ae93c3..000000000
--- a/data/hfopenllm_v2/meta/NotASI/FineTome-v1.5-Llama3.2-3B-1007/d8a359e5-2899-4d3f-9fb4-3120f61951f4.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/NousResearch/Hermes-2-Pro-Llama-3-8B/af47ca72-b9b5-4cf3-84a7-e2f4602e6eaa.json b/data/hfopenllm_v2/meta/NousResearch/Hermes-2-Pro-Llama-3-8B/af47ca72-b9b5-4cf3-84a7-e2f4602e6eaa.json
deleted file mode 100644
index e6fc74f16..000000000
--- a/data/hfopenllm_v2/meta/NousResearch/Hermes-2-Pro-Llama-3-8B/af47ca72-b9b5-4cf3-84a7-e2f4602e6eaa.json
+++ /dev/null
@@ -1,105 +0,0 @@
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deleted file mode 100644
index 0bef36793..000000000
--- a/data/hfopenllm_v2/meta/NousResearch/Hermes-2-Theta-Llama-3-8B/99c4b14f-8ea6-4f6e-af65-1e2ee58eeca9.json
+++ /dev/null
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deleted file mode 100644
index 277207797..000000000
--- a/data/hfopenllm_v2/meta/NousResearch/Hermes-3-Llama-3.1-70B/e48bd1d8-1082-4b79-8145-87d7f013fb82.json
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deleted file mode 100644
index 4b2ae4744..000000000
--- a/data/hfopenllm_v2/meta/NousResearch/Hermes-3-Llama-3.1-8B/b9300d76-c854-48a2-a900-b661c1fae7bf.json
+++ /dev/null
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deleted file mode 100644
index 92bf3dd89..000000000
--- a/data/hfopenllm_v2/meta/NousResearch/Hermes-3-Llama-3.2-3B/7e5f7bc1-1f9a-497a-a903-7d612bb923ca.json
+++ /dev/null
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deleted file mode 100644
index 0dba6ee42..000000000
--- a/data/hfopenllm_v2/meta/NousResearch/Nous-Hermes-llama-2-7b/6ab36d53-da10-4f80-bd1b-dc037a020362.json
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deleted file mode 100644
index 56562effc..000000000
--- a/data/hfopenllm_v2/meta/NousResearch/Yarn-Llama-2-13b-128k/e067537a-a621-483f-b1cf-ee78f57a39da.json
+++ /dev/null
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-{
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diff --git a/data/hfopenllm_v2/meta/NousResearch/Yarn-Llama-2-7b-128k/e3e717a5-a987-4e94-a528-9aafadb6774f.json b/data/hfopenllm_v2/meta/NousResearch/Yarn-Llama-2-7b-128k/e3e717a5-a987-4e94-a528-9aafadb6774f.json
deleted file mode 100644
index c5cd31d53..000000000
--- a/data/hfopenllm_v2/meta/NousResearch/Yarn-Llama-2-7b-128k/e3e717a5-a987-4e94-a528-9aafadb6774f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/NousResearch/Yarn-Llama-2-7b-64k/50db2b1d-e0b5-43b1-86e2-5fa55fb3a960.json b/data/hfopenllm_v2/meta/NousResearch/Yarn-Llama-2-7b-64k/50db2b1d-e0b5-43b1-86e2-5fa55fb3a960.json
deleted file mode 100644
index 592c8bf80..000000000
--- a/data/hfopenllm_v2/meta/NousResearch/Yarn-Llama-2-7b-64k/50db2b1d-e0b5-43b1-86e2-5fa55fb3a960.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/OEvortex/Emotional-llama-8B/c2593003-ca2a-4699-8473-a07683e7cd85.json b/data/hfopenllm_v2/meta/OEvortex/Emotional-llama-8B/c2593003-ca2a-4699-8473-a07683e7cd85.json
deleted file mode 100644
index 4394b6016..000000000
--- a/data/hfopenllm_v2/meta/OEvortex/Emotional-llama-8B/c2593003-ca2a-4699-8473-a07683e7cd85.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/meta/OpenBuddy/openbuddy-llama3-70b-v21.2-32k/3d49db5c-bcd1-4d2f-9616-c551a53bdebe.json b/data/hfopenllm_v2/meta/OpenBuddy/openbuddy-llama3-70b-v21.2-32k/3d49db5c-bcd1-4d2f-9616-c551a53bdebe.json
deleted file mode 100644
index e3786cd2a..000000000
--- a/data/hfopenllm_v2/meta/OpenBuddy/openbuddy-llama3-70b-v21.2-32k/3d49db5c-bcd1-4d2f-9616-c551a53bdebe.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/OpenBuddy/openbuddy-llama3-8b-v21.1-8k/2a86c8f6-2aed-4e0c-ad8a-e9ff5065a1e4.json b/data/hfopenllm_v2/meta/OpenBuddy/openbuddy-llama3-8b-v21.1-8k/2a86c8f6-2aed-4e0c-ad8a-e9ff5065a1e4.json
deleted file mode 100644
index 0a42bb9ec..000000000
--- a/data/hfopenllm_v2/meta/OpenBuddy/openbuddy-llama3-8b-v21.1-8k/2a86c8f6-2aed-4e0c-ad8a-e9ff5065a1e4.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/meta/OpenBuddy/openbuddy-llama3-8b-v21.2-32k/960fabe4-5395-4d3f-9680-65fe0b8655ac.json b/data/hfopenllm_v2/meta/OpenBuddy/openbuddy-llama3-8b-v21.2-32k/960fabe4-5395-4d3f-9680-65fe0b8655ac.json
deleted file mode 100644
index af619462f..000000000
--- a/data/hfopenllm_v2/meta/OpenBuddy/openbuddy-llama3-8b-v21.2-32k/960fabe4-5395-4d3f-9680-65fe0b8655ac.json
+++ /dev/null
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deleted file mode 100644
index 2d381b224..000000000
--- a/data/hfopenllm_v2/meta/OpenBuddy/openbuddy-llama3.1-70b-v22.1-131k/77d10b46-e3cf-42a0-b215-f9f8ff5ef60d.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/meta/OpenBuddy/openbuddy-llama3.1-8b-v22.2-131k/b57cd648-1503-4bbf-81d7-4ca72ac9ff27.json b/data/hfopenllm_v2/meta/OpenBuddy/openbuddy-llama3.1-8b-v22.2-131k/b57cd648-1503-4bbf-81d7-4ca72ac9ff27.json
deleted file mode 100644
index 44315a288..000000000
--- a/data/hfopenllm_v2/meta/OpenBuddy/openbuddy-llama3.1-8b-v22.2-131k/b57cd648-1503-4bbf-81d7-4ca72ac9ff27.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/meta/OpenBuddy/openbuddy-llama3.1-8b-v22.3-131k/7abaa7f8-8378-496c-b5f8-ac9046eeccc8.json b/data/hfopenllm_v2/meta/OpenBuddy/openbuddy-llama3.1-8b-v22.3-131k/7abaa7f8-8378-496c-b5f8-ac9046eeccc8.json
deleted file mode 100644
index 92ed1b2aa..000000000
--- a/data/hfopenllm_v2/meta/OpenBuddy/openbuddy-llama3.1-8b-v22.3-131k/7abaa7f8-8378-496c-b5f8-ac9046eeccc8.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/meta/OpenBuddy/openbuddy-llama3.2-1b-v23.1-131k/85379044-198d-4fb5-82c8-50857f8d65d0.json b/data/hfopenllm_v2/meta/OpenBuddy/openbuddy-llama3.2-1b-v23.1-131k/85379044-198d-4fb5-82c8-50857f8d65d0.json
deleted file mode 100644
index fe3c543c0..000000000
--- a/data/hfopenllm_v2/meta/OpenBuddy/openbuddy-llama3.2-1b-v23.1-131k/85379044-198d-4fb5-82c8-50857f8d65d0.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/OpenBuddy/openbuddy-llama3.2-3b-v23.2-131k/6d6e86f6-f1b7-42ef-9581-b0542e6e12ef.json b/data/hfopenllm_v2/meta/OpenBuddy/openbuddy-llama3.2-3b-v23.2-131k/6d6e86f6-f1b7-42ef-9581-b0542e6e12ef.json
deleted file mode 100644
index 735541036..000000000
--- a/data/hfopenllm_v2/meta/OpenBuddy/openbuddy-llama3.2-3b-v23.2-131k/6d6e86f6-f1b7-42ef-9581-b0542e6e12ef.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/meta/OpenBuddy/openbuddy-llama3.3-70b-v24.1-131k/49768a60-0b77-4945-a048-013a6fb719ca.json b/data/hfopenllm_v2/meta/OpenBuddy/openbuddy-llama3.3-70b-v24.1-131k/49768a60-0b77-4945-a048-013a6fb719ca.json
deleted file mode 100644
index 5153b9d5f..000000000
--- a/data/hfopenllm_v2/meta/OpenBuddy/openbuddy-llama3.3-70b-v24.1-131k/49768a60-0b77-4945-a048-013a6fb719ca.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/OpenBuddy/openbuddy-qwen2.5llamaify-14b-v23.1-200k/489b8b24-4295-41b3-b286-14f79972fe93.json b/data/hfopenllm_v2/meta/OpenBuddy/openbuddy-qwen2.5llamaify-14b-v23.1-200k/489b8b24-4295-41b3-b286-14f79972fe93.json
deleted file mode 100644
index f25f827d1..000000000
--- a/data/hfopenllm_v2/meta/OpenBuddy/openbuddy-qwen2.5llamaify-14b-v23.1-200k/489b8b24-4295-41b3-b286-14f79972fe93.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/OpenBuddy/openbuddy-qwen2.5llamaify-14b-v23.3-200k/ce4e7736-51d8-431a-9bef-ac2bcb3ff0fe.json b/data/hfopenllm_v2/meta/OpenBuddy/openbuddy-qwen2.5llamaify-14b-v23.3-200k/ce4e7736-51d8-431a-9bef-ac2bcb3ff0fe.json
deleted file mode 100644
index c45b9a414..000000000
--- a/data/hfopenllm_v2/meta/OpenBuddy/openbuddy-qwen2.5llamaify-14b-v23.3-200k/ce4e7736-51d8-431a-9bef-ac2bcb3ff0fe.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/OpenBuddy/openbuddy-qwen2.5llamaify-7b-v23.1-200k/d5f3ca22-b682-47c6-a7ba-93b401cb8c8f.json b/data/hfopenllm_v2/meta/OpenBuddy/openbuddy-qwen2.5llamaify-7b-v23.1-200k/d5f3ca22-b682-47c6-a7ba-93b401cb8c8f.json
deleted file mode 100644
index 00fc5e07d..000000000
--- a/data/hfopenllm_v2/meta/OpenBuddy/openbuddy-qwen2.5llamaify-7b-v23.1-200k/d5f3ca22-b682-47c6-a7ba-93b401cb8c8f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/OpenLeecher/llama3-8b-lima/b482d6e6-8520-4a77-a729-ebe2e9635a6c.json b/data/hfopenllm_v2/meta/OpenLeecher/llama3-8b-lima/b482d6e6-8520-4a77-a729-ebe2e9635a6c.json
deleted file mode 100644
index d001c40bf..000000000
--- a/data/hfopenllm_v2/meta/OpenLeecher/llama3-8b-lima/b482d6e6-8520-4a77-a729-ebe2e9635a6c.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/OpenScholar/Llama-3.1_OpenScholar-8B/1e6ea564-30ff-4db3-8bb6-070da34e3fb5.json b/data/hfopenllm_v2/meta/OpenScholar/Llama-3.1_OpenScholar-8B/1e6ea564-30ff-4db3-8bb6-070da34e3fb5.json
deleted file mode 100644
index 03926b5aa..000000000
--- a/data/hfopenllm_v2/meta/OpenScholar/Llama-3.1_OpenScholar-8B/1e6ea564-30ff-4db3-8bb6-070da34e3fb5.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/meta/Orenguteng/Llama-3.1-8B-Lexi-Uncensored-V2/3b02898e-b47f-4d53-9bd4-575d47df29af.json b/data/hfopenllm_v2/meta/Orenguteng/Llama-3.1-8B-Lexi-Uncensored-V2/3b02898e-b47f-4d53-9bd4-575d47df29af.json
deleted file mode 100644
index 4df946123..000000000
--- a/data/hfopenllm_v2/meta/Orenguteng/Llama-3.1-8B-Lexi-Uncensored-V2/3b02898e-b47f-4d53-9bd4-575d47df29af.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/Orenguteng/Llama-3.1-8B-Lexi-Uncensored/fe095b66-350c-4236-ab1b-e2e19af73486.json b/data/hfopenllm_v2/meta/Orenguteng/Llama-3.1-8B-Lexi-Uncensored/fe095b66-350c-4236-ab1b-e2e19af73486.json
deleted file mode 100644
index 2ad57994d..000000000
--- a/data/hfopenllm_v2/meta/Orenguteng/Llama-3.1-8B-Lexi-Uncensored/fe095b66-350c-4236-ab1b-e2e19af73486.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/PJMixers-Dev/LLaMa-3.1-RomboTiesTest-8B/0130c0ac-a790-492d-aac2-55e999b724ef.json b/data/hfopenllm_v2/meta/PJMixers-Dev/LLaMa-3.1-RomboTiesTest-8B/0130c0ac-a790-492d-aac2-55e999b724ef.json
deleted file mode 100644
index abcf243b3..000000000
--- a/data/hfopenllm_v2/meta/PJMixers-Dev/LLaMa-3.1-RomboTiesTest-8B/0130c0ac-a790-492d-aac2-55e999b724ef.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/PJMixers-Dev/LLaMa-3.1-RomboTiesTest2-8B/dbfe2c89-a7c8-4fe5-95a1-cf1a58b6f55c.json b/data/hfopenllm_v2/meta/PJMixers-Dev/LLaMa-3.1-RomboTiesTest2-8B/dbfe2c89-a7c8-4fe5-95a1-cf1a58b6f55c.json
deleted file mode 100644
index 21087884c..000000000
--- a/data/hfopenllm_v2/meta/PJMixers-Dev/LLaMa-3.1-RomboTiesTest2-8B/dbfe2c89-a7c8-4fe5-95a1-cf1a58b6f55c.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/PJMixers/LLaMa-3-CursedStock-v2.0-8B/4f7c69a5-70e5-4f7b-9520-9fa9e642df57.json b/data/hfopenllm_v2/meta/PJMixers/LLaMa-3-CursedStock-v2.0-8B/4f7c69a5-70e5-4f7b-9520-9fa9e642df57.json
deleted file mode 100644
index d94ae571b..000000000
--- a/data/hfopenllm_v2/meta/PJMixers/LLaMa-3-CursedStock-v2.0-8B/4f7c69a5-70e5-4f7b-9520-9fa9e642df57.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/RLHFlow/ArmoRM-Llama3-8B-v0.1/b8ce63dd-5c8a-4bba-b381-147efcdcc161.json b/data/hfopenllm_v2/meta/RLHFlow/ArmoRM-Llama3-8B-v0.1/b8ce63dd-5c8a-4bba-b381-147efcdcc161.json
deleted file mode 100644
index f56fcf11a..000000000
--- a/data/hfopenllm_v2/meta/RLHFlow/ArmoRM-Llama3-8B-v0.1/b8ce63dd-5c8a-4bba-b381-147efcdcc161.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/Replete-AI/Replete-Coder-Llama3-8B/c8b29113-7815-4cf3-be36-76e3e87d6068.json b/data/hfopenllm_v2/meta/Replete-AI/Replete-Coder-Llama3-8B/c8b29113-7815-4cf3-be36-76e3e87d6068.json
deleted file mode 100644
index 5e2a0f45d..000000000
--- a/data/hfopenllm_v2/meta/Replete-AI/Replete-Coder-Llama3-8B/c8b29113-7815-4cf3-be36-76e3e87d6068.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/Replete-AI/Replete-LLM-V2-Llama-3.1-8b/c3977d28-b18d-4e86-bc69-1aa08422585c.json b/data/hfopenllm_v2/meta/Replete-AI/Replete-LLM-V2-Llama-3.1-8b/c3977d28-b18d-4e86-bc69-1aa08422585c.json
deleted file mode 100644
index 4ddc386ad..000000000
--- a/data/hfopenllm_v2/meta/Replete-AI/Replete-LLM-V2-Llama-3.1-8b/c3977d28-b18d-4e86-bc69-1aa08422585c.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/SaisExperiments/RightSheep-Llama3.2-3B/4ef7907b-270f-45dc-8f18-88c62c1c8bfe.json b/data/hfopenllm_v2/meta/SaisExperiments/RightSheep-Llama3.2-3B/4ef7907b-270f-45dc-8f18-88c62c1c8bfe.json
deleted file mode 100644
index 775abb440..000000000
--- a/data/hfopenllm_v2/meta/SaisExperiments/RightSheep-Llama3.2-3B/4ef7907b-270f-45dc-8f18-88c62c1c8bfe.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/Sakalti/Llama3.2-3B-Uranus-1/aba2e376-936d-4960-a82b-da09d2266826.json b/data/hfopenllm_v2/meta/Sakalti/Llama3.2-3B-Uranus-1/aba2e376-936d-4960-a82b-da09d2266826.json
deleted file mode 100644
index c1e8679e1..000000000
--- a/data/hfopenllm_v2/meta/Sakalti/Llama3.2-3B-Uranus-1/aba2e376-936d-4960-a82b-da09d2266826.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/meta/SentientAGI/Dobby-Mini-Leashed-Llama-3.1-8B/ed1798c0-348f-4294-b546-8a7892225d33.json b/data/hfopenllm_v2/meta/SentientAGI/Dobby-Mini-Leashed-Llama-3.1-8B/ed1798c0-348f-4294-b546-8a7892225d33.json
deleted file mode 100644
index d4f9ae247..000000000
--- a/data/hfopenllm_v2/meta/SentientAGI/Dobby-Mini-Leashed-Llama-3.1-8B/ed1798c0-348f-4294-b546-8a7892225d33.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/meta/SentientAGI/Dobby-Mini-Unhinged-Llama-3.1-8B/6ac51916-9278-46b6-9b0f-059745f3d845.json b/data/hfopenllm_v2/meta/SentientAGI/Dobby-Mini-Unhinged-Llama-3.1-8B/6ac51916-9278-46b6-9b0f-059745f3d845.json
deleted file mode 100644
index b7f1c4c06..000000000
--- a/data/hfopenllm_v2/meta/SentientAGI/Dobby-Mini-Unhinged-Llama-3.1-8B/6ac51916-9278-46b6-9b0f-059745f3d845.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/Sicarius-Prototyping/Brainy_LLAMA/83fd7abf-00b0-4242-b8c3-87ef9c40dfcf.json b/data/hfopenllm_v2/meta/Sicarius-Prototyping/Brainy_LLAMA/83fd7abf-00b0-4242-b8c3-87ef9c40dfcf.json
deleted file mode 100644
index 6c1ac3cc5..000000000
--- a/data/hfopenllm_v2/meta/Sicarius-Prototyping/Brainy_LLAMA/83fd7abf-00b0-4242-b8c3-87ef9c40dfcf.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/SicariusSicariiStuff/Impish_LLAMA_3B/9235cd92-5335-498e-881f-21938da4ed61.json b/data/hfopenllm_v2/meta/SicariusSicariiStuff/Impish_LLAMA_3B/9235cd92-5335-498e-881f-21938da4ed61.json
deleted file mode 100644
index 4463c5961..000000000
--- a/data/hfopenllm_v2/meta/SicariusSicariiStuff/Impish_LLAMA_3B/9235cd92-5335-498e-881f-21938da4ed61.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/SicariusSicariiStuff/LLAMA-3_8B_Unaligned_BETA/27e6623c-49b2-4763-ac6f-b35f1f9002a8.json b/data/hfopenllm_v2/meta/SicariusSicariiStuff/LLAMA-3_8B_Unaligned_BETA/27e6623c-49b2-4763-ac6f-b35f1f9002a8.json
deleted file mode 100644
index acbeecaee..000000000
--- a/data/hfopenllm_v2/meta/SicariusSicariiStuff/LLAMA-3_8B_Unaligned_BETA/27e6623c-49b2-4763-ac6f-b35f1f9002a8.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/SkyOrbis/SKY-Ko-Llama3.1-8B-lora-epoch1/da7be2d8-96ff-4902-9628-c1781391c68e.json b/data/hfopenllm_v2/meta/SkyOrbis/SKY-Ko-Llama3.1-8B-lora-epoch1/da7be2d8-96ff-4902-9628-c1781391c68e.json
deleted file mode 100644
index ee5ce9caf..000000000
--- a/data/hfopenllm_v2/meta/SkyOrbis/SKY-Ko-Llama3.1-8B-lora-epoch1/da7be2d8-96ff-4902-9628-c1781391c68e.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/SkyOrbis/SKY-Ko-Llama3.1-8B-lora/fffe8411-9f9c-48ce-adb5-8d483022bffe.json b/data/hfopenllm_v2/meta/SkyOrbis/SKY-Ko-Llama3.1-8B-lora/fffe8411-9f9c-48ce-adb5-8d483022bffe.json
deleted file mode 100644
index 02fcbeb1a..000000000
--- a/data/hfopenllm_v2/meta/SkyOrbis/SKY-Ko-Llama3.1-8B-lora/fffe8411-9f9c-48ce-adb5-8d483022bffe.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/SkyOrbis/SKY-Ko-Llama3.2-1B-lora-epoch3/d0e4c608-0c64-4cf4-aee6-714475d500db.json b/data/hfopenllm_v2/meta/SkyOrbis/SKY-Ko-Llama3.2-1B-lora-epoch3/d0e4c608-0c64-4cf4-aee6-714475d500db.json
deleted file mode 100644
index 83cf41661..000000000
--- a/data/hfopenllm_v2/meta/SkyOrbis/SKY-Ko-Llama3.2-1B-lora-epoch3/d0e4c608-0c64-4cf4-aee6-714475d500db.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/SkyOrbis/SKY-Ko-Llama3.2-1B-lora-epoch5/19c08486-99c5-4f53-a6cc-69cb58e0808a.json b/data/hfopenllm_v2/meta/SkyOrbis/SKY-Ko-Llama3.2-1B-lora-epoch5/19c08486-99c5-4f53-a6cc-69cb58e0808a.json
deleted file mode 100644
index c3e0469f5..000000000
--- a/data/hfopenllm_v2/meta/SkyOrbis/SKY-Ko-Llama3.2-1B-lora-epoch5/19c08486-99c5-4f53-a6cc-69cb58e0808a.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/SkyOrbis/SKY-Ko-Llama3.2-1B-lora-v2-epoch3/f45610c5-ead3-4670-9639-aa30fb145829.json b/data/hfopenllm_v2/meta/SkyOrbis/SKY-Ko-Llama3.2-1B-lora-v2-epoch3/f45610c5-ead3-4670-9639-aa30fb145829.json
deleted file mode 100644
index 66222ca61..000000000
--- a/data/hfopenllm_v2/meta/SkyOrbis/SKY-Ko-Llama3.2-1B-lora-v2-epoch3/f45610c5-ead3-4670-9639-aa30fb145829.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/SkyOrbis/SKY-Ko-Llama3.2-1B-lora-v2-epoch5/34a1eda3-2a02-4522-955a-7ed3f1ee97d6.json b/data/hfopenllm_v2/meta/SkyOrbis/SKY-Ko-Llama3.2-1B-lora-v2-epoch5/34a1eda3-2a02-4522-955a-7ed3f1ee97d6.json
deleted file mode 100644
index e444f2f3c..000000000
--- a/data/hfopenllm_v2/meta/SkyOrbis/SKY-Ko-Llama3.2-1B-lora-v2-epoch5/34a1eda3-2a02-4522-955a-7ed3f1ee97d6.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/SkyOrbis/SKY-Ko-Llama3.2-3B-lora-epoch1/08fdfb9e-7998-4483-bb1a-4ea7f0e2980e.json b/data/hfopenllm_v2/meta/SkyOrbis/SKY-Ko-Llama3.2-3B-lora-epoch1/08fdfb9e-7998-4483-bb1a-4ea7f0e2980e.json
deleted file mode 100644
index 85f31b38d..000000000
--- a/data/hfopenllm_v2/meta/SkyOrbis/SKY-Ko-Llama3.2-3B-lora-epoch1/08fdfb9e-7998-4483-bb1a-4ea7f0e2980e.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/meta/SkyOrbis/SKY-Ko-Llama3.2-3B-lora-epoch2/37a5a439-e2ac-46ec-af94-b60f127157de.json b/data/hfopenllm_v2/meta/SkyOrbis/SKY-Ko-Llama3.2-3B-lora-epoch2/37a5a439-e2ac-46ec-af94-b60f127157de.json
deleted file mode 100644
index 9a02602e3..000000000
--- a/data/hfopenllm_v2/meta/SkyOrbis/SKY-Ko-Llama3.2-3B-lora-epoch2/37a5a439-e2ac-46ec-af94-b60f127157de.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/SkyOrbis/SKY-Ko-Llama3.2-3B-lora-epoch3/6d191a68-8817-468a-850b-01f5ba76e05f.json b/data/hfopenllm_v2/meta/SkyOrbis/SKY-Ko-Llama3.2-3B-lora-epoch3/6d191a68-8817-468a-850b-01f5ba76e05f.json
deleted file mode 100644
index 54e8f8412..000000000
--- a/data/hfopenllm_v2/meta/SkyOrbis/SKY-Ko-Llama3.2-3B-lora-epoch3/6d191a68-8817-468a-850b-01f5ba76e05f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/Skywork/Skywork-o1-Open-Llama-3.1-8B/e98879cc-d7fd-4e97-ab86-0ca28265abeb.json b/data/hfopenllm_v2/meta/Skywork/Skywork-o1-Open-Llama-3.1-8B/e98879cc-d7fd-4e97-ab86-0ca28265abeb.json
deleted file mode 100644
index da6f2e34c..000000000
--- a/data/hfopenllm_v2/meta/Skywork/Skywork-o1-Open-Llama-3.1-8B/e98879cc-d7fd-4e97-ab86-0ca28265abeb.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/Solshine/Llama-3-1-big-thoughtful-passthrough-merge-2/b36e0fba-9fa1-4e74-9d26-b4889343f113.json b/data/hfopenllm_v2/meta/Solshine/Llama-3-1-big-thoughtful-passthrough-merge-2/b36e0fba-9fa1-4e74-9d26-b4889343f113.json
deleted file mode 100644
index 2aa8e4a40..000000000
--- a/data/hfopenllm_v2/meta/Solshine/Llama-3-1-big-thoughtful-passthrough-merge-2/b36e0fba-9fa1-4e74-9d26-b4889343f113.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/T145/Llama-3.1-8B-Zeus/e0889500-8f6e-496c-b275-ac110458c56d.json b/data/hfopenllm_v2/meta/T145/Llama-3.1-8B-Zeus/e0889500-8f6e-496c-b275-ac110458c56d.json
deleted file mode 100644
index bdced2a64..000000000
--- a/data/hfopenllm_v2/meta/T145/Llama-3.1-8B-Zeus/e0889500-8f6e-496c-b275-ac110458c56d.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/Tarek07/Progenitor-V1.1-LLaMa-70B/8638b115-f092-42f1-949d-162321fe5833.json b/data/hfopenllm_v2/meta/Tarek07/Progenitor-V1.1-LLaMa-70B/8638b115-f092-42f1-949d-162321fe5833.json
deleted file mode 100644
index 580a4e3ce..000000000
--- a/data/hfopenllm_v2/meta/Tarek07/Progenitor-V1.1-LLaMa-70B/8638b115-f092-42f1-949d-162321fe5833.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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deleted file mode 100644
index 3e0f89b7e..000000000
--- a/data/hfopenllm_v2/meta/Tarek07/Thalassic-Alpha-LLaMa-70B/a20052ae-dfa0-4df7-a9a6-f182dbef513d.json
+++ /dev/null
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deleted file mode 100644
index 388c8a6a1..000000000
--- a/data/hfopenllm_v2/meta/TencentARC/LLaMA-Pro-8B/8d2c510b-a092-4e5d-b468-6e58501cad8a.json
+++ /dev/null
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deleted file mode 100644
index 5bfc40306..000000000
--- a/data/hfopenllm_v2/meta/TheDrummer/Llama-3SOME-8B-v2/8f4349ad-76e7-4ce5-9121-fef2e376b4bc.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/meta/TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T/99c5044d-1308-4f30-9413-bc2672545f76.json b/data/hfopenllm_v2/meta/TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T/99c5044d-1308-4f30-9413-bc2672545f76.json
deleted file mode 100644
index c87cd6ad8..000000000
--- a/data/hfopenllm_v2/meta/TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T/99c5044d-1308-4f30-9413-bc2672545f76.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/meta/TinyLlama/TinyLlama_v1.1/e81db661-b05a-4d95-8be4-d663317d3d13.json b/data/hfopenllm_v2/meta/TinyLlama/TinyLlama_v1.1/e81db661-b05a-4d95-8be4-d663317d3d13.json
deleted file mode 100644
index 2c927b699..000000000
--- a/data/hfopenllm_v2/meta/TinyLlama/TinyLlama_v1.1/e81db661-b05a-4d95-8be4-d663317d3d13.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/meta/Triangle104/DS-Distilled-Hermes-Llama-3.1/d8a0873b-58e8-449a-aedd-7117e9931546.json b/data/hfopenllm_v2/meta/Triangle104/DS-Distilled-Hermes-Llama-3.1/d8a0873b-58e8-449a-aedd-7117e9931546.json
deleted file mode 100644
index 78e69c993..000000000
--- a/data/hfopenllm_v2/meta/Triangle104/DS-Distilled-Hermes-Llama-3.1/d8a0873b-58e8-449a-aedd-7117e9931546.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/meta/Triangle104/DS-Distilled-Hermes-Llama-3.1_TIES/9383604e-dd29-4c51-87eb-68f19ff929ec.json b/data/hfopenllm_v2/meta/Triangle104/DS-Distilled-Hermes-Llama-3.1_TIES/9383604e-dd29-4c51-87eb-68f19ff929ec.json
deleted file mode 100644
index c8797eef8..000000000
--- a/data/hfopenllm_v2/meta/Triangle104/DS-Distilled-Hermes-Llama-3.1_TIES/9383604e-dd29-4c51-87eb-68f19ff929ec.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/Triangle104/DS-R1-Llama-8B-Harmony/ef25dd23-7cc0-46ad-898d-31bfb5205aad.json b/data/hfopenllm_v2/meta/Triangle104/DS-R1-Llama-8B-Harmony/ef25dd23-7cc0-46ad-898d-31bfb5205aad.json
deleted file mode 100644
index 63013d34b..000000000
--- a/data/hfopenllm_v2/meta/Triangle104/DS-R1-Llama-8B-Harmony/ef25dd23-7cc0-46ad-898d-31bfb5205aad.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/Triangle104/DSR1-Distill-Llama-Lit-8B/b31d5098-4324-4307-aa50-2413ceba5481.json b/data/hfopenllm_v2/meta/Triangle104/DSR1-Distill-Llama-Lit-8B/b31d5098-4324-4307-aa50-2413ceba5481.json
deleted file mode 100644
index 95d09ce6d..000000000
--- a/data/hfopenllm_v2/meta/Triangle104/DSR1-Distill-Llama-Lit-8B/b31d5098-4324-4307-aa50-2413ceba5481.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/Triangle104/Dolphin3-Llama3.2-Smart/88532e60-eff6-404b-8e74-fd8836a99ff9.json b/data/hfopenllm_v2/meta/Triangle104/Dolphin3-Llama3.2-Smart/88532e60-eff6-404b-8e74-fd8836a99ff9.json
deleted file mode 100644
index 03e98613d..000000000
--- a/data/hfopenllm_v2/meta/Triangle104/Dolphin3-Llama3.2-Smart/88532e60-eff6-404b-8e74-fd8836a99ff9.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/Triangle104/Hermes-Llama-3.2-CoT-Summary/9bd6ca33-d62a-4327-a11e-f36188f0256a.json b/data/hfopenllm_v2/meta/Triangle104/Hermes-Llama-3.2-CoT-Summary/9bd6ca33-d62a-4327-a11e-f36188f0256a.json
deleted file mode 100644
index 9d3dbe643..000000000
--- a/data/hfopenllm_v2/meta/Triangle104/Hermes-Llama-3.2-CoT-Summary/9bd6ca33-d62a-4327-a11e-f36188f0256a.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/meta/Triangle104/Hermes-Llama-3.2-CoT/ddacf85a-a333-4cf9-b0f2-b9a5d5831b8c.json b/data/hfopenllm_v2/meta/Triangle104/Hermes-Llama-3.2-CoT/ddacf85a-a333-4cf9-b0f2-b9a5d5831b8c.json
deleted file mode 100644
index 67ecec5cf..000000000
--- a/data/hfopenllm_v2/meta/Triangle104/Hermes-Llama-3.2-CoT/ddacf85a-a333-4cf9-b0f2-b9a5d5831b8c.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/meta/Triangle104/Llama3.1-Allades-Lit-8b/d3d2f0cc-2775-4a01-b8ae-5206cafcb2bb.json b/data/hfopenllm_v2/meta/Triangle104/Llama3.1-Allades-Lit-8b/d3d2f0cc-2775-4a01-b8ae-5206cafcb2bb.json
deleted file mode 100644
index 62cac7e1a..000000000
--- a/data/hfopenllm_v2/meta/Triangle104/Llama3.1-Allades-Lit-8b/d3d2f0cc-2775-4a01-b8ae-5206cafcb2bb.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/Triangle104/Llama3.1-cc-Lit-8b/3ccecc91-6528-4592-8ca3-722a62bfa102.json b/data/hfopenllm_v2/meta/Triangle104/Llama3.1-cc-Lit-8b/3ccecc91-6528-4592-8ca3-722a62bfa102.json
deleted file mode 100644
index f2f1b83f3..000000000
--- a/data/hfopenllm_v2/meta/Triangle104/Llama3.1-cc-Lit-8b/3ccecc91-6528-4592-8ca3-722a62bfa102.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/Triangle104/Porpoise-R1-Llama3.2-3b/29843ea0-0ab4-44e1-8206-10a1135cce8a.json b/data/hfopenllm_v2/meta/Triangle104/Porpoise-R1-Llama3.2-3b/29843ea0-0ab4-44e1-8206-10a1135cce8a.json
deleted file mode 100644
index f7006eb3d..000000000
--- a/data/hfopenllm_v2/meta/Triangle104/Porpoise-R1-Llama3.2-3b/29843ea0-0ab4-44e1-8206-10a1135cce8a.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/Triangle104/RomboHermes3-R1-Llama3.2-3b/8ce06258-4909-4e46-a326-85052d28c5ff.json b/data/hfopenllm_v2/meta/Triangle104/RomboHermes3-R1-Llama3.2-3b/8ce06258-4909-4e46-a326-85052d28c5ff.json
deleted file mode 100644
index bfe671e6b..000000000
--- a/data/hfopenllm_v2/meta/Triangle104/RomboHermes3-R1-Llama3.2-3b/8ce06258-4909-4e46-a326-85052d28c5ff.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/UKzExecution/LlamaExecutor-8B-3.0.5/0f2ddff5-6077-4166-8fe4-ade89d3a6003.json b/data/hfopenllm_v2/meta/UKzExecution/LlamaExecutor-8B-3.0.5/0f2ddff5-6077-4166-8fe4-ade89d3a6003.json
deleted file mode 100644
index 85323b854..000000000
--- a/data/hfopenllm_v2/meta/UKzExecution/LlamaExecutor-8B-3.0.5/0f2ddff5-6077-4166-8fe4-ade89d3a6003.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/meta/VIRNECT/llama-3-Korean-8B-r-v-0.1/c3448f16-33c4-42c8-bde3-b503786cba7f.json b/data/hfopenllm_v2/meta/VIRNECT/llama-3-Korean-8B-r-v-0.1/c3448f16-33c4-42c8-bde3-b503786cba7f.json
deleted file mode 100644
index add63a7cb..000000000
--- a/data/hfopenllm_v2/meta/VIRNECT/llama-3-Korean-8B-r-v-0.1/c3448f16-33c4-42c8-bde3-b503786cba7f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/VIRNECT/llama-3-Korean-8B/1193d16a-5ba8-4a6c-b13d-116bb7731a71.json b/data/hfopenllm_v2/meta/VIRNECT/llama-3-Korean-8B/1193d16a-5ba8-4a6c-b13d-116bb7731a71.json
deleted file mode 100644
index 1b792043f..000000000
--- a/data/hfopenllm_v2/meta/VIRNECT/llama-3-Korean-8B/1193d16a-5ba8-4a6c-b13d-116bb7731a71.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/VIRNECT/llama-3-Korean-8B/c5ef57d2-a521-4b09-9aa1-0c06c9888cda.json b/data/hfopenllm_v2/meta/VIRNECT/llama-3-Korean-8B/c5ef57d2-a521-4b09-9aa1-0c06c9888cda.json
deleted file mode 100644
index 7640ec7ce..000000000
--- a/data/hfopenllm_v2/meta/VIRNECT/llama-3-Korean-8B/c5ef57d2-a521-4b09-9aa1-0c06c9888cda.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/ValiantLabs/Llama3-70B-Fireplace/60150622-5b73-4b2c-a8f2-7c2e84cd3d0e.json b/data/hfopenllm_v2/meta/ValiantLabs/Llama3-70B-Fireplace/60150622-5b73-4b2c-a8f2-7c2e84cd3d0e.json
deleted file mode 100644
index 621606e0b..000000000
--- a/data/hfopenllm_v2/meta/ValiantLabs/Llama3-70B-Fireplace/60150622-5b73-4b2c-a8f2-7c2e84cd3d0e.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/ValiantLabs/Llama3-70B-ShiningValiant2/1650ab9b-4e64-48f1-9551-fb58758cb2f6.json b/data/hfopenllm_v2/meta/ValiantLabs/Llama3-70B-ShiningValiant2/1650ab9b-4e64-48f1-9551-fb58758cb2f6.json
deleted file mode 100644
index 32f113411..000000000
--- a/data/hfopenllm_v2/meta/ValiantLabs/Llama3-70B-ShiningValiant2/1650ab9b-4e64-48f1-9551-fb58758cb2f6.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/ValiantLabs/Llama3.1-70B-ShiningValiant2/6f4c4594-6f73-44e3-b531-f7651b523e8f.json b/data/hfopenllm_v2/meta/ValiantLabs/Llama3.1-70B-ShiningValiant2/6f4c4594-6f73-44e3-b531-f7651b523e8f.json
deleted file mode 100644
index 97b1bd73e..000000000
--- a/data/hfopenllm_v2/meta/ValiantLabs/Llama3.1-70B-ShiningValiant2/6f4c4594-6f73-44e3-b531-f7651b523e8f.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/meta/ValiantLabs/Llama3.1-8B-Cobalt/382ce872-f5a6-4753-9cca-ba06ddcbb4b6.json b/data/hfopenllm_v2/meta/ValiantLabs/Llama3.1-8B-Cobalt/382ce872-f5a6-4753-9cca-ba06ddcbb4b6.json
deleted file mode 100644
index 4c7b9fa6d..000000000
--- a/data/hfopenllm_v2/meta/ValiantLabs/Llama3.1-8B-Cobalt/382ce872-f5a6-4753-9cca-ba06ddcbb4b6.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/meta/ValiantLabs/Llama3.1-8B-Cobalt/8683a084-2521-469c-8575-9b2595c112dd.json b/data/hfopenllm_v2/meta/ValiantLabs/Llama3.1-8B-Cobalt/8683a084-2521-469c-8575-9b2595c112dd.json
deleted file mode 100644
index d8e24f31a..000000000
--- a/data/hfopenllm_v2/meta/ValiantLabs/Llama3.1-8B-Cobalt/8683a084-2521-469c-8575-9b2595c112dd.json
+++ /dev/null
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-{
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diff --git a/data/hfopenllm_v2/meta/ValiantLabs/Llama3.1-8B-Enigma/e1c4e454-79c8-448d-ab33-629900a35779.json b/data/hfopenllm_v2/meta/ValiantLabs/Llama3.1-8B-Enigma/e1c4e454-79c8-448d-ab33-629900a35779.json
deleted file mode 100644
index 767d3296f..000000000
--- a/data/hfopenllm_v2/meta/ValiantLabs/Llama3.1-8B-Enigma/e1c4e454-79c8-448d-ab33-629900a35779.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/ValiantLabs/Llama3.1-8B-Esper2/aa8f6d7a-bf7a-4e00-932f-b31c9cf0705e.json b/data/hfopenllm_v2/meta/ValiantLabs/Llama3.1-8B-Esper2/aa8f6d7a-bf7a-4e00-932f-b31c9cf0705e.json
deleted file mode 100644
index 3b0c93f31..000000000
--- a/data/hfopenllm_v2/meta/ValiantLabs/Llama3.1-8B-Esper2/aa8f6d7a-bf7a-4e00-932f-b31c9cf0705e.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/ValiantLabs/Llama3.1-8B-Fireplace2/08843042-f5ed-4dbb-befe-82c48e370664.json b/data/hfopenllm_v2/meta/ValiantLabs/Llama3.1-8B-Fireplace2/08843042-f5ed-4dbb-befe-82c48e370664.json
deleted file mode 100644
index a07a62c29..000000000
--- a/data/hfopenllm_v2/meta/ValiantLabs/Llama3.1-8B-Fireplace2/08843042-f5ed-4dbb-befe-82c48e370664.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/ValiantLabs/Llama3.1-8B-Fireplace2/8c25e90b-944b-4c23-a7ed-43c9609c6bf7.json b/data/hfopenllm_v2/meta/ValiantLabs/Llama3.1-8B-Fireplace2/8c25e90b-944b-4c23-a7ed-43c9609c6bf7.json
deleted file mode 100644
index 57d3ddd70..000000000
--- a/data/hfopenllm_v2/meta/ValiantLabs/Llama3.1-8B-Fireplace2/8c25e90b-944b-4c23-a7ed-43c9609c6bf7.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/meta/ValiantLabs/Llama3.1-8B-ShiningValiant2/4b3c0c63-4718-4fce-bd70-a31b3b60dfad.json b/data/hfopenllm_v2/meta/ValiantLabs/Llama3.1-8B-ShiningValiant2/4b3c0c63-4718-4fce-bd70-a31b3b60dfad.json
deleted file mode 100644
index fe841b8b1..000000000
--- a/data/hfopenllm_v2/meta/ValiantLabs/Llama3.1-8B-ShiningValiant2/4b3c0c63-4718-4fce-bd70-a31b3b60dfad.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/ValiantLabs/Llama3.1-8B-ShiningValiant2/e1d82962-59c9-44e7-9243-ea62f6639d1e.json b/data/hfopenllm_v2/meta/ValiantLabs/Llama3.1-8B-ShiningValiant2/e1d82962-59c9-44e7-9243-ea62f6639d1e.json
deleted file mode 100644
index 42f84ff24..000000000
--- a/data/hfopenllm_v2/meta/ValiantLabs/Llama3.1-8B-ShiningValiant2/e1d82962-59c9-44e7-9243-ea62f6639d1e.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/ValiantLabs/Llama3.2-3B-Enigma/71e3ab93-9667-4e99-b0a1-e25b701b13fd.json b/data/hfopenllm_v2/meta/ValiantLabs/Llama3.2-3B-Enigma/71e3ab93-9667-4e99-b0a1-e25b701b13fd.json
deleted file mode 100644
index abcc149d4..000000000
--- a/data/hfopenllm_v2/meta/ValiantLabs/Llama3.2-3B-Enigma/71e3ab93-9667-4e99-b0a1-e25b701b13fd.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/ValiantLabs/Llama3.2-3B-Esper2/5567fc86-d3f8-4ef7-94d8-12fc28eeb9b4.json b/data/hfopenllm_v2/meta/ValiantLabs/Llama3.2-3B-Esper2/5567fc86-d3f8-4ef7-94d8-12fc28eeb9b4.json
deleted file mode 100644
index 8978218f4..000000000
--- a/data/hfopenllm_v2/meta/ValiantLabs/Llama3.2-3B-Esper2/5567fc86-d3f8-4ef7-94d8-12fc28eeb9b4.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/ValiantLabs/Llama3.2-3B-ShiningValiant2/6c3a0d11-d421-4420-9df7-359164a85893.json b/data/hfopenllm_v2/meta/ValiantLabs/Llama3.2-3B-ShiningValiant2/6c3a0d11-d421-4420-9df7-359164a85893.json
deleted file mode 100644
index 836fdcc53..000000000
--- a/data/hfopenllm_v2/meta/ValiantLabs/Llama3.2-3B-ShiningValiant2/6c3a0d11-d421-4420-9df7-359164a85893.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/Weyaxi/Einstein-v6.1-Llama3-8B/13c07664-1ff1-48a4-a43d-877fc05bd19d.json b/data/hfopenllm_v2/meta/Weyaxi/Einstein-v6.1-Llama3-8B/13c07664-1ff1-48a4-a43d-877fc05bd19d.json
deleted file mode 100644
index ef3a5693e..000000000
--- a/data/hfopenllm_v2/meta/Weyaxi/Einstein-v6.1-Llama3-8B/13c07664-1ff1-48a4-a43d-877fc05bd19d.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/Weyaxi/Einstein-v6.1-developed-by-Weyaxi-Llama3-8B/06985382-8aec-4aa3-85ff-774da25ed2d3.json b/data/hfopenllm_v2/meta/Weyaxi/Einstein-v6.1-developed-by-Weyaxi-Llama3-8B/06985382-8aec-4aa3-85ff-774da25ed2d3.json
deleted file mode 100644
index 786b26f24..000000000
--- a/data/hfopenllm_v2/meta/Weyaxi/Einstein-v6.1-developed-by-Weyaxi-Llama3-8B/06985382-8aec-4aa3-85ff-774da25ed2d3.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/meta/Weyaxi/Einstein-v8-Llama3.2-1B/5edf6193-a8d6-41d3-b2fd-20f7ce537770.json b/data/hfopenllm_v2/meta/Weyaxi/Einstein-v8-Llama3.2-1B/5edf6193-a8d6-41d3-b2fd-20f7ce537770.json
deleted file mode 100644
index 27ceae704..000000000
--- a/data/hfopenllm_v2/meta/Weyaxi/Einstein-v8-Llama3.2-1B/5edf6193-a8d6-41d3-b2fd-20f7ce537770.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/meta/Xiaojian9992024/Llama3.2-1B-THREADRIPPER-v0.2/5ae4b63d-a84b-4468-aefe-8b5c7b88323e.json b/data/hfopenllm_v2/meta/Xiaojian9992024/Llama3.2-1B-THREADRIPPER-v0.2/5ae4b63d-a84b-4468-aefe-8b5c7b88323e.json
deleted file mode 100644
index bbeba984f..000000000
--- a/data/hfopenllm_v2/meta/Xiaojian9992024/Llama3.2-1B-THREADRIPPER-v0.2/5ae4b63d-a84b-4468-aefe-8b5c7b88323e.json
+++ /dev/null
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diff --git a/data/hfopenllm_v2/meta/Xiaojian9992024/Llama3.2-1B-THREADRIPPER/b7c71bb9-0f3b-4d2f-8902-5fefac1629c5.json b/data/hfopenllm_v2/meta/Xiaojian9992024/Llama3.2-1B-THREADRIPPER/b7c71bb9-0f3b-4d2f-8902-5fefac1629c5.json
deleted file mode 100644
index 366a300b0..000000000
--- a/data/hfopenllm_v2/meta/Xiaojian9992024/Llama3.2-1B-THREADRIPPER/b7c71bb9-0f3b-4d2f-8902-5fefac1629c5.json
+++ /dev/null
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diff --git a/data/hfopenllm_v2/meta/Xkev/Llama-3.2V-11B-cot/55f777f4-460f-4b83-a309-7e9e9113fd55.json b/data/hfopenllm_v2/meta/Xkev/Llama-3.2V-11B-cot/55f777f4-460f-4b83-a309-7e9e9113fd55.json
deleted file mode 100644
index 30f4eca5d..000000000
--- a/data/hfopenllm_v2/meta/Xkev/Llama-3.2V-11B-cot/55f777f4-460f-4b83-a309-7e9e9113fd55.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/meta/Yuma42/Llama3.1-IgneousIguana-8B/cd2f97bc-3f4d-43f2-b100-09eec8d122a6.json b/data/hfopenllm_v2/meta/Yuma42/Llama3.1-IgneousIguana-8B/cd2f97bc-3f4d-43f2-b100-09eec8d122a6.json
deleted file mode 100644
index 354de378d..000000000
--- a/data/hfopenllm_v2/meta/Yuma42/Llama3.1-IgneousIguana-8B/cd2f97bc-3f4d-43f2-b100-09eec8d122a6.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/Yuma42/Llama3.1-SuperHawk-8B/458dd163-075e-48ca-bb3b-650912f55696.json b/data/hfopenllm_v2/meta/Yuma42/Llama3.1-SuperHawk-8B/458dd163-075e-48ca-bb3b-650912f55696.json
deleted file mode 100644
index 20aeca710..000000000
--- a/data/hfopenllm_v2/meta/Yuma42/Llama3.1-SuperHawk-8B/458dd163-075e-48ca-bb3b-650912f55696.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/ZeroXClem/Llama-3.1-8B-AthenaSky-MegaMix/2c35754b-3763-4098-8686-39694028e0d9.json b/data/hfopenllm_v2/meta/ZeroXClem/Llama-3.1-8B-AthenaSky-MegaMix/2c35754b-3763-4098-8686-39694028e0d9.json
deleted file mode 100644
index 17befe33a..000000000
--- a/data/hfopenllm_v2/meta/ZeroXClem/Llama-3.1-8B-AthenaSky-MegaMix/2c35754b-3763-4098-8686-39694028e0d9.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/ZeroXClem/Llama-3.1-8B-RainbowLight-EtherealMix/18072fb3-a27a-4ad7-93ef-a3770637a0dc.json b/data/hfopenllm_v2/meta/ZeroXClem/Llama-3.1-8B-RainbowLight-EtherealMix/18072fb3-a27a-4ad7-93ef-a3770637a0dc.json
deleted file mode 100644
index c1f8175eb..000000000
--- a/data/hfopenllm_v2/meta/ZeroXClem/Llama-3.1-8B-RainbowLight-EtherealMix/18072fb3-a27a-4ad7-93ef-a3770637a0dc.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/ZeroXClem/Llama-3.1-8B-SpecialTitanFusion/38be33eb-3dfb-4987-a2f0-14ceb9d834f7.json b/data/hfopenllm_v2/meta/ZeroXClem/Llama-3.1-8B-SpecialTitanFusion/38be33eb-3dfb-4987-a2f0-14ceb9d834f7.json
deleted file mode 100644
index 99abf7903..000000000
--- a/data/hfopenllm_v2/meta/ZeroXClem/Llama-3.1-8B-SpecialTitanFusion/38be33eb-3dfb-4987-a2f0-14ceb9d834f7.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/ZeroXClem/Llama-3.1-8B-SuperNova-EtherealHermes/1007d3aa-f8ca-420c-b974-a0f552c649ac.json b/data/hfopenllm_v2/meta/ZeroXClem/Llama-3.1-8B-SuperNova-EtherealHermes/1007d3aa-f8ca-420c-b974-a0f552c649ac.json
deleted file mode 100644
index 1a629d89a..000000000
--- a/data/hfopenllm_v2/meta/ZeroXClem/Llama-3.1-8B-SuperNova-EtherealHermes/1007d3aa-f8ca-420c-b974-a0f552c649ac.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/ZeroXClem/Llama-3.1-8B-SuperTulu-LexiNova/ba3564f4-f48f-4548-ae15-b5f78c4b44f4.json b/data/hfopenllm_v2/meta/ZeroXClem/Llama-3.1-8B-SuperTulu-LexiNova/ba3564f4-f48f-4548-ae15-b5f78c4b44f4.json
deleted file mode 100644
index 0143352eb..000000000
--- a/data/hfopenllm_v2/meta/ZeroXClem/Llama-3.1-8B-SuperTulu-LexiNova/ba3564f4-f48f-4548-ae15-b5f78c4b44f4.json
+++ /dev/null
@@ -1,105 +0,0 @@
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deleted file mode 100644
index 61b59b16f..000000000
--- a/data/hfopenllm_v2/meta/aaditya/Llama3-OpenBioLLM-70B/e68ae3f7-3f46-43bb-8e14-0523af96998e.json
+++ /dev/null
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diff --git a/data/hfopenllm_v2/meta/abacusai/Llama-3-Smaug-8B/ea57e277-5694-4981-ac47-d2fa633847ca.json b/data/hfopenllm_v2/meta/abacusai/Llama-3-Smaug-8B/ea57e277-5694-4981-ac47-d2fa633847ca.json
deleted file mode 100644
index 100428e8e..000000000
--- a/data/hfopenllm_v2/meta/abacusai/Llama-3-Smaug-8B/ea57e277-5694-4981-ac47-d2fa633847ca.json
+++ /dev/null
@@ -1,105 +0,0 @@
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deleted file mode 100644
index b91f6b6b0..000000000
--- a/data/hfopenllm_v2/meta/abhishek/autotrain-llama3-70b-orpo-v1/eb2ee4fb-cc98-4937-a385-19a5e783d1a7.json
+++ /dev/null
@@ -1,105 +0,0 @@
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deleted file mode 100644
index 7590e31ba..000000000
--- a/data/hfopenllm_v2/meta/abhishek/autotrain-llama3-70b-orpo-v2/15617903-e280-4c61-a326-5f615b46b3a8.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/meta/abhishek/autotrain-llama3-orpo-v2/f8515d35-c7e8-440b-a61f-16f5acfdc003.json b/data/hfopenllm_v2/meta/abhishek/autotrain-llama3-orpo-v2/f8515d35-c7e8-440b-a61f-16f5acfdc003.json
deleted file mode 100644
index 513d68201..000000000
--- a/data/hfopenllm_v2/meta/abhishek/autotrain-llama3-orpo-v2/f8515d35-c7e8-440b-a61f-16f5acfdc003.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/meta/agentlans/Llama3.1-8B-drill/869f9850-417b-43d7-bb40-61375a8bb09c.json b/data/hfopenllm_v2/meta/agentlans/Llama3.1-8B-drill/869f9850-417b-43d7-bb40-61375a8bb09c.json
deleted file mode 100644
index 091523dc4..000000000
--- a/data/hfopenllm_v2/meta/agentlans/Llama3.1-8B-drill/869f9850-417b-43d7-bb40-61375a8bb09c.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/agentlans/Llama3.1-Daredevilish/417b2c35-090e-42c3-8a92-04f7258702a3.json b/data/hfopenllm_v2/meta/agentlans/Llama3.1-Daredevilish/417b2c35-090e-42c3-8a92-04f7258702a3.json
deleted file mode 100644
index 8203d8c2c..000000000
--- a/data/hfopenllm_v2/meta/agentlans/Llama3.1-Daredevilish/417b2c35-090e-42c3-8a92-04f7258702a3.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/agentlans/Llama3.1-LexiHermes-SuperStorm/6f966179-a456-4914-807d-45ab507e0388.json b/data/hfopenllm_v2/meta/agentlans/Llama3.1-LexiHermes-SuperStorm/6f966179-a456-4914-807d-45ab507e0388.json
deleted file mode 100644
index 8bdc023bc..000000000
--- a/data/hfopenllm_v2/meta/agentlans/Llama3.1-LexiHermes-SuperStorm/6f966179-a456-4914-807d-45ab507e0388.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/agentlans/Llama3.1-SuperDeepFuse-CrashCourse12K/455bd496-7a32-45c9-a792-3982781fdc16.json b/data/hfopenllm_v2/meta/agentlans/Llama3.1-SuperDeepFuse-CrashCourse12K/455bd496-7a32-45c9-a792-3982781fdc16.json
deleted file mode 100644
index bc0827d1b..000000000
--- a/data/hfopenllm_v2/meta/agentlans/Llama3.1-SuperDeepFuse-CrashCourse12K/455bd496-7a32-45c9-a792-3982781fdc16.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/agentlans/Llama3.1-SuperDeepFuse/6301252b-2353-438a-9e60-c6a572adfc5f.json b/data/hfopenllm_v2/meta/agentlans/Llama3.1-SuperDeepFuse/6301252b-2353-438a-9e60-c6a572adfc5f.json
deleted file mode 100644
index e8d54c40b..000000000
--- a/data/hfopenllm_v2/meta/agentlans/Llama3.1-SuperDeepFuse/6301252b-2353-438a-9e60-c6a572adfc5f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/ahmeda335/13_outOf_32_pruned_layers_llama3.1-8b/54da4a97-6e12-4bb0-9138-dacd981b04bf.json b/data/hfopenllm_v2/meta/ahmeda335/13_outOf_32_pruned_layers_llama3.1-8b/54da4a97-6e12-4bb0-9138-dacd981b04bf.json
deleted file mode 100644
index 43d78f629..000000000
--- a/data/hfopenllm_v2/meta/ahmeda335/13_outOf_32_pruned_layers_llama3.1-8b/54da4a97-6e12-4bb0-9138-dacd981b04bf.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/meta/akhadangi/Llama3.2.1B.0.01-First/d07eada4-e73c-4dd6-8538-e3a9cd471f34.json b/data/hfopenllm_v2/meta/akhadangi/Llama3.2.1B.0.01-First/d07eada4-e73c-4dd6-8538-e3a9cd471f34.json
deleted file mode 100644
index b605eda86..000000000
--- a/data/hfopenllm_v2/meta/akhadangi/Llama3.2.1B.0.01-First/d07eada4-e73c-4dd6-8538-e3a9cd471f34.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/akhadangi/Llama3.2.1B.0.01-Last/9f796e5e-6c31-46e0-b839-e21d33a403c4.json b/data/hfopenllm_v2/meta/akhadangi/Llama3.2.1B.0.01-Last/9f796e5e-6c31-46e0-b839-e21d33a403c4.json
deleted file mode 100644
index 1d84b1d15..000000000
--- a/data/hfopenllm_v2/meta/akhadangi/Llama3.2.1B.0.01-Last/9f796e5e-6c31-46e0-b839-e21d33a403c4.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/akhadangi/Llama3.2.1B.0.1-First/4ec306d4-3f34-4330-9898-fb5ccb9a3483.json b/data/hfopenllm_v2/meta/akhadangi/Llama3.2.1B.0.1-First/4ec306d4-3f34-4330-9898-fb5ccb9a3483.json
deleted file mode 100644
index cbc2c0367..000000000
--- a/data/hfopenllm_v2/meta/akhadangi/Llama3.2.1B.0.1-First/4ec306d4-3f34-4330-9898-fb5ccb9a3483.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/akhadangi/Llama3.2.1B.0.1-Last/82c24fd7-de74-4dc8-bd22-5761243ed826.json b/data/hfopenllm_v2/meta/akhadangi/Llama3.2.1B.0.1-Last/82c24fd7-de74-4dc8-bd22-5761243ed826.json
deleted file mode 100644
index 3bb947208..000000000
--- a/data/hfopenllm_v2/meta/akhadangi/Llama3.2.1B.0.1-Last/82c24fd7-de74-4dc8-bd22-5761243ed826.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/akhadangi/Llama3.2.1B.BaseFiT/8577766f-d696-489d-8194-31b48c17941a.json b/data/hfopenllm_v2/meta/akhadangi/Llama3.2.1B.BaseFiT/8577766f-d696-489d-8194-31b48c17941a.json
deleted file mode 100644
index ec2f6319c..000000000
--- a/data/hfopenllm_v2/meta/akhadangi/Llama3.2.1B.BaseFiT/8577766f-d696-489d-8194-31b48c17941a.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/akjindal53244/Llama-3.1-Storm-8B/de2d2321-b6ed-4791-9114-757afc963876.json b/data/hfopenllm_v2/meta/akjindal53244/Llama-3.1-Storm-8B/de2d2321-b6ed-4791-9114-757afc963876.json
deleted file mode 100644
index bb2526b04..000000000
--- a/data/hfopenllm_v2/meta/akjindal53244/Llama-3.1-Storm-8B/de2d2321-b6ed-4791-9114-757afc963876.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/akjindal53244/Llama-3.1-Storm-8B/f9aad6f2-ba24-47de-a613-b4011a2c52d1.json b/data/hfopenllm_v2/meta/akjindal53244/Llama-3.1-Storm-8B/f9aad6f2-ba24-47de-a613-b4011a2c52d1.json
deleted file mode 100644
index a8c4db233..000000000
--- a/data/hfopenllm_v2/meta/akjindal53244/Llama-3.1-Storm-8B/f9aad6f2-ba24-47de-a613-b4011a2c52d1.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/alcholjung/llama3_medical_tuned/30324407-0848-48ae-bbd7-80676d9467db.json b/data/hfopenllm_v2/meta/alcholjung/llama3_medical_tuned/30324407-0848-48ae-bbd7-80676d9467db.json
deleted file mode 100644
index 4e1af7370..000000000
--- a/data/hfopenllm_v2/meta/alcholjung/llama3_medical_tuned/30324407-0848-48ae-bbd7-80676d9467db.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/allenai/Llama-3.1-Tulu-3-70B/006cafcb-452f-4df0-b42c-058719eb63e4.json b/data/hfopenllm_v2/meta/allenai/Llama-3.1-Tulu-3-70B/006cafcb-452f-4df0-b42c-058719eb63e4.json
deleted file mode 100644
index 15a8b6cdd..000000000
--- a/data/hfopenllm_v2/meta/allenai/Llama-3.1-Tulu-3-70B/006cafcb-452f-4df0-b42c-058719eb63e4.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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deleted file mode 100644
index 56ba02b0b..000000000
--- a/data/hfopenllm_v2/meta/allenai/Llama-3.1-Tulu-3-70B/5683ed15-2699-4f0c-8e74-a65ff2d4dd49.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/meta/allenai/Llama-3.1-Tulu-3-8B-RM/1a363aad-a1e7-404e-8c4a-4132f4fbab2b.json b/data/hfopenllm_v2/meta/allenai/Llama-3.1-Tulu-3-8B-RM/1a363aad-a1e7-404e-8c4a-4132f4fbab2b.json
deleted file mode 100644
index 1a61a4a09..000000000
--- a/data/hfopenllm_v2/meta/allenai/Llama-3.1-Tulu-3-8B-RM/1a363aad-a1e7-404e-8c4a-4132f4fbab2b.json
+++ /dev/null
@@ -1,105 +0,0 @@
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deleted file mode 100644
index 6aa3e76a7..000000000
--- a/data/hfopenllm_v2/meta/allenai/Llama-3.1-Tulu-3-8B/5ad18861-1b4d-456d-9e1c-e945c1f71530.json
+++ /dev/null
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deleted file mode 100644
index 10b9cad8e..000000000
--- a/data/hfopenllm_v2/meta/allenai/Llama-3.1-Tulu-3-8B/8a7c4b5a-85c7-4fc6-af4c-e9cde5d32d8b.json
+++ /dev/null
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diff --git a/data/hfopenllm_v2/meta/allknowingroger/Llama3.1-60B/21684c0e-c9b7-4375-bf05-cf63e9bd19b4.json b/data/hfopenllm_v2/meta/allknowingroger/Llama3.1-60B/21684c0e-c9b7-4375-bf05-cf63e9bd19b4.json
deleted file mode 100644
index 4e2ea00ba..000000000
--- a/data/hfopenllm_v2/meta/allknowingroger/Llama3.1-60B/21684c0e-c9b7-4375-bf05-cf63e9bd19b4.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/meta/allknowingroger/Yillama-40B/ab5ef6c9-76de-470e-b524-497036db94d4.json b/data/hfopenllm_v2/meta/allknowingroger/Yillama-40B/ab5ef6c9-76de-470e-b524-497036db94d4.json
deleted file mode 100644
index 322aa4cb3..000000000
--- a/data/hfopenllm_v2/meta/allknowingroger/Yillama-40B/ab5ef6c9-76de-470e-b524-497036db94d4.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/meta/allknowingroger/llama3-Jallabi-40B-s/d46307f8-774b-4871-a32a-6c5a9cc6b1b8.json b/data/hfopenllm_v2/meta/allknowingroger/llama3-Jallabi-40B-s/d46307f8-774b-4871-a32a-6c5a9cc6b1b8.json
deleted file mode 100644
index b4ca5a2d7..000000000
--- a/data/hfopenllm_v2/meta/allknowingroger/llama3-Jallabi-40B-s/d46307f8-774b-4871-a32a-6c5a9cc6b1b8.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/meta/allknowingroger/llama3AnFeng-40B/dc25bda9-966c-44f8-991b-ad891d59befe.json b/data/hfopenllm_v2/meta/allknowingroger/llama3AnFeng-40B/dc25bda9-966c-44f8-991b-ad891d59befe.json
deleted file mode 100644
index e9e79529c..000000000
--- a/data/hfopenllm_v2/meta/allknowingroger/llama3AnFeng-40B/dc25bda9-966c-44f8-991b-ad891d59befe.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/meta/aloobun/Meta-Llama-3-7B-28Layers/f020ec4e-f026-4034-a219-1aacfcbb16b0.json b/data/hfopenllm_v2/meta/aloobun/Meta-Llama-3-7B-28Layers/f020ec4e-f026-4034-a219-1aacfcbb16b0.json
deleted file mode 100644
index 7d275c917..000000000
--- a/data/hfopenllm_v2/meta/aloobun/Meta-Llama-3-7B-28Layers/f020ec4e-f026-4034-a219-1aacfcbb16b0.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/amd/AMD-Llama-135m/086ca0cf-79a3-4b94-980d-9384f1848562.json b/data/hfopenllm_v2/meta/amd/AMD-Llama-135m/086ca0cf-79a3-4b94-980d-9384f1848562.json
deleted file mode 100644
index af4d73c18..000000000
--- a/data/hfopenllm_v2/meta/amd/AMD-Llama-135m/086ca0cf-79a3-4b94-980d-9384f1848562.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/amd/AMD-Llama-135m/4a623195-2073-4637-b748-696012109846.json b/data/hfopenllm_v2/meta/amd/AMD-Llama-135m/4a623195-2073-4637-b748-696012109846.json
deleted file mode 100644
index cf94961f7..000000000
--- a/data/hfopenllm_v2/meta/amd/AMD-Llama-135m/4a623195-2073-4637-b748-696012109846.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/arcee-ai/Llama-3.1-SuperNova-Lite/4bc80120-a5e2-4824-b278-c2de7140a2bf.json b/data/hfopenllm_v2/meta/arcee-ai/Llama-3.1-SuperNova-Lite/4bc80120-a5e2-4824-b278-c2de7140a2bf.json
deleted file mode 100644
index 59fe479cf..000000000
--- a/data/hfopenllm_v2/meta/arcee-ai/Llama-3.1-SuperNova-Lite/4bc80120-a5e2-4824-b278-c2de7140a2bf.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/arcee-ai/Llama-Spark/aaceb35d-4106-4d6c-b895-446b87394f3b.json b/data/hfopenllm_v2/meta/arcee-ai/Llama-Spark/aaceb35d-4106-4d6c-b895-446b87394f3b.json
deleted file mode 100644
index 4aa85b1a4..000000000
--- a/data/hfopenllm_v2/meta/arcee-ai/Llama-Spark/aaceb35d-4106-4d6c-b895-446b87394f3b.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/argilla-warehouse/Llama-3.1-8B-MagPie-Ultra/4e4260dc-81e0-4e2f-a7ce-dd6a0f7e0796.json b/data/hfopenllm_v2/meta/argilla-warehouse/Llama-3.1-8B-MagPie-Ultra/4e4260dc-81e0-4e2f-a7ce-dd6a0f7e0796.json
deleted file mode 100644
index aab6642af..000000000
--- a/data/hfopenllm_v2/meta/argilla-warehouse/Llama-3.1-8B-MagPie-Ultra/4e4260dc-81e0-4e2f-a7ce-dd6a0f7e0796.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/asharsha30/LLAMA_Harsha_8_B_ORDP_10k/61523c37-faee-4708-be49-4c7e31d760e6.json b/data/hfopenllm_v2/meta/asharsha30/LLAMA_Harsha_8_B_ORDP_10k/61523c37-faee-4708-be49-4c7e31d760e6.json
deleted file mode 100644
index d10396f8c..000000000
--- a/data/hfopenllm_v2/meta/asharsha30/LLAMA_Harsha_8_B_ORDP_10k/61523c37-faee-4708-be49-4c7e31d760e6.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/bfuzzy1/acheron-m1a-llama/da59bcfb-1f9a-41e5-9a8c-14f672dce595.json b/data/hfopenllm_v2/meta/bfuzzy1/acheron-m1a-llama/da59bcfb-1f9a-41e5-9a8c-14f672dce595.json
deleted file mode 100644
index e7f28b28b..000000000
--- a/data/hfopenllm_v2/meta/bfuzzy1/acheron-m1a-llama/da59bcfb-1f9a-41e5-9a8c-14f672dce595.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/bosonai/Higgs-Llama-3-70B/ebac2d72-ef36-43a7-83de-e28ae3eb4b22.json b/data/hfopenllm_v2/meta/bosonai/Higgs-Llama-3-70B/ebac2d72-ef36-43a7-83de-e28ae3eb4b22.json
deleted file mode 100644
index 98113095f..000000000
--- a/data/hfopenllm_v2/meta/bosonai/Higgs-Llama-3-70B/ebac2d72-ef36-43a7-83de-e28ae3eb4b22.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/bunnycore/Best-Mix-Llama-3.1-8B/ee1e13fe-2ec6-4ce8-8d32-1fe011b12ef8.json b/data/hfopenllm_v2/meta/bunnycore/Best-Mix-Llama-3.1-8B/ee1e13fe-2ec6-4ce8-8d32-1fe011b12ef8.json
deleted file mode 100644
index 39a1dc0b3..000000000
--- a/data/hfopenllm_v2/meta/bunnycore/Best-Mix-Llama-3.1-8B/ee1e13fe-2ec6-4ce8-8d32-1fe011b12ef8.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/bunnycore/HyperLlama-3.1-8B/7d031f11-6623-40c0-96bd-b3f0c135600b.json b/data/hfopenllm_v2/meta/bunnycore/HyperLlama-3.1-8B/7d031f11-6623-40c0-96bd-b3f0c135600b.json
deleted file mode 100644
index 10a40277c..000000000
--- a/data/hfopenllm_v2/meta/bunnycore/HyperLlama-3.1-8B/7d031f11-6623-40c0-96bd-b3f0c135600b.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/meta/bunnycore/Llama-3.1-8B-TitanFusion-Mix/5b0421b6-04ff-422c-a13e-9649306959d4.json b/data/hfopenllm_v2/meta/bunnycore/Llama-3.1-8B-TitanFusion-Mix/5b0421b6-04ff-422c-a13e-9649306959d4.json
deleted file mode 100644
index 8c7ad7407..000000000
--- a/data/hfopenllm_v2/meta/bunnycore/Llama-3.1-8B-TitanFusion-Mix/5b0421b6-04ff-422c-a13e-9649306959d4.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/meta/bunnycore/Llama-3.1-8B-TitanFusion-v3/6ee91c1c-b44e-44a9-b4b2-4e3cbeb594d3.json b/data/hfopenllm_v2/meta/bunnycore/Llama-3.1-8B-TitanFusion-v3/6ee91c1c-b44e-44a9-b4b2-4e3cbeb594d3.json
deleted file mode 100644
index 875f3d501..000000000
--- a/data/hfopenllm_v2/meta/bunnycore/Llama-3.1-8B-TitanFusion-v3/6ee91c1c-b44e-44a9-b4b2-4e3cbeb594d3.json
+++ /dev/null
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-{
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deleted file mode 100644
index 1f74ae7a5..000000000
--- a/data/hfopenllm_v2/meta/bunnycore/Llama-3.2-3B-All-Mix/60766e3b-e153-4ee8-8615-1c1e68b7cd75.json
+++ /dev/null
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diff --git a/data/hfopenllm_v2/meta/bunnycore/Llama-3.2-3B-Bespoke-Thought/b43702d0-eef7-42d8-87b9-c1cbd0edb417.json b/data/hfopenllm_v2/meta/bunnycore/Llama-3.2-3B-Bespoke-Thought/b43702d0-eef7-42d8-87b9-c1cbd0edb417.json
deleted file mode 100644
index 4c29f1e90..000000000
--- a/data/hfopenllm_v2/meta/bunnycore/Llama-3.2-3B-Bespoke-Thought/b43702d0-eef7-42d8-87b9-c1cbd0edb417.json
+++ /dev/null
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diff --git a/data/hfopenllm_v2/meta/bunnycore/Llama-3.2-3B-Booval/9cb855b6-e141-492a-99fb-98858d76f66c.json b/data/hfopenllm_v2/meta/bunnycore/Llama-3.2-3B-Booval/9cb855b6-e141-492a-99fb-98858d76f66c.json
deleted file mode 100644
index c145bd429..000000000
--- a/data/hfopenllm_v2/meta/bunnycore/Llama-3.2-3B-Booval/9cb855b6-e141-492a-99fb-98858d76f66c.json
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diff --git a/data/hfopenllm_v2/meta/bunnycore/Llama-3.2-3B-Deep-Test/76edae8d-f4d3-41b2-8a24-cc676feed31c.json b/data/hfopenllm_v2/meta/bunnycore/Llama-3.2-3B-Deep-Test/76edae8d-f4d3-41b2-8a24-cc676feed31c.json
deleted file mode 100644
index 16ac4a933..000000000
--- a/data/hfopenllm_v2/meta/bunnycore/Llama-3.2-3B-Deep-Test/76edae8d-f4d3-41b2-8a24-cc676feed31c.json
+++ /dev/null
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deleted file mode 100644
index 0e9345182..000000000
--- a/data/hfopenllm_v2/meta/bunnycore/Llama-3.2-3B-Deep-Test/f150ea9d-0e4a-49c7-aa12-a703ca011755.json
+++ /dev/null
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deleted file mode 100644
index a1d9a5385..000000000
--- a/data/hfopenllm_v2/meta/bunnycore/Llama-3.2-3B-Della/8c23bcaf-2753-4f60-85ec-e92a48b8bba3.json
+++ /dev/null
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diff --git a/data/hfopenllm_v2/meta/bunnycore/Llama-3.2-3B-Long-Think/bf24dc90-551e-4e0d-8525-9b3b8c4ccfe1.json b/data/hfopenllm_v2/meta/bunnycore/Llama-3.2-3B-Long-Think/bf24dc90-551e-4e0d-8525-9b3b8c4ccfe1.json
deleted file mode 100644
index 05f1765d7..000000000
--- a/data/hfopenllm_v2/meta/bunnycore/Llama-3.2-3B-Long-Think/bf24dc90-551e-4e0d-8525-9b3b8c4ccfe1.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/meta/bunnycore/Llama-3.2-3B-Mix-Skill/7a6d897c-0efe-4c18-808c-25f6b9a78b5d.json b/data/hfopenllm_v2/meta/bunnycore/Llama-3.2-3B-Mix-Skill/7a6d897c-0efe-4c18-808c-25f6b9a78b5d.json
deleted file mode 100644
index aa36da534..000000000
--- a/data/hfopenllm_v2/meta/bunnycore/Llama-3.2-3B-Mix-Skill/7a6d897c-0efe-4c18-808c-25f6b9a78b5d.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/bunnycore/Llama-3.2-3B-ProdigyPlus/0ef3d0a9-a3e9-4b33-bece-bd7eec82514d.json b/data/hfopenllm_v2/meta/bunnycore/Llama-3.2-3B-ProdigyPlus/0ef3d0a9-a3e9-4b33-bece-bd7eec82514d.json
deleted file mode 100644
index ec77eb772..000000000
--- a/data/hfopenllm_v2/meta/bunnycore/Llama-3.2-3B-ProdigyPlus/0ef3d0a9-a3e9-4b33-bece-bd7eec82514d.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/meta/bunnycore/Llama-3.2-3B-ProdigyPlusPlus/485d4a25-810a-4022-828b-15c255fa2004.json b/data/hfopenllm_v2/meta/bunnycore/Llama-3.2-3B-ProdigyPlusPlus/485d4a25-810a-4022-828b-15c255fa2004.json
deleted file mode 100644
index 24ccef7d7..000000000
--- a/data/hfopenllm_v2/meta/bunnycore/Llama-3.2-3B-ProdigyPlusPlus/485d4a25-810a-4022-828b-15c255fa2004.json
+++ /dev/null
@@ -1,105 +0,0 @@
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deleted file mode 100644
index 25c722487..000000000
--- a/data/hfopenllm_v2/meta/bunnycore/Llama-3.2-3B-RP-DeepThink/d24cf761-7c11-4f9b-9e41-ca24ac1225b9.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/meta/bunnycore/Llama-3.2-3B-RRStock/f1af1d33-fb95-462d-830c-5330d6481b6a.json b/data/hfopenllm_v2/meta/bunnycore/Llama-3.2-3B-RRStock/f1af1d33-fb95-462d-830c-5330d6481b6a.json
deleted file mode 100644
index 4f0c5d710..000000000
--- a/data/hfopenllm_v2/meta/bunnycore/Llama-3.2-3B-RRStock/f1af1d33-fb95-462d-830c-5330d6481b6a.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/meta/bunnycore/Llama-3.2-3B-ToxicKod/d59a73eb-0aee-49f8-abce-6500f1fae79d.json b/data/hfopenllm_v2/meta/bunnycore/Llama-3.2-3B-ToxicKod/d59a73eb-0aee-49f8-abce-6500f1fae79d.json
deleted file mode 100644
index 74bd06fb5..000000000
--- a/data/hfopenllm_v2/meta/bunnycore/Llama-3.2-3B-ToxicKod/d59a73eb-0aee-49f8-abce-6500f1fae79d.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/meta/bunnycore/Llama-3.2-3b-RP-Toxic-Fuse/4c2bc39c-2d04-4afd-a94d-bc8f59e75755.json b/data/hfopenllm_v2/meta/bunnycore/Llama-3.2-3b-RP-Toxic-Fuse/4c2bc39c-2d04-4afd-a94d-bc8f59e75755.json
deleted file mode 100644
index 4c46c2d81..000000000
--- a/data/hfopenllm_v2/meta/bunnycore/Llama-3.2-3b-RP-Toxic-Fuse/4c2bc39c-2d04-4afd-a94d-bc8f59e75755.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/meta/bunnycore/Smol-Llama-3.2-3B/eed01a32-3282-40c9-9a6c-9a0eae79fc8e.json b/data/hfopenllm_v2/meta/bunnycore/Smol-Llama-3.2-3B/eed01a32-3282-40c9-9a6c-9a0eae79fc8e.json
deleted file mode 100644
index 4e00cdf72..000000000
--- a/data/hfopenllm_v2/meta/bunnycore/Smol-Llama-3.2-3B/eed01a32-3282-40c9-9a6c-9a0eae79fc8e.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/meta/chargoddard/prometheus-2-llama-3-8b/ea26b157-81d0-4aa2-a6df-d1d391ab2a3b.json b/data/hfopenllm_v2/meta/chargoddard/prometheus-2-llama-3-8b/ea26b157-81d0-4aa2-a6df-d1d391ab2a3b.json
deleted file mode 100644
index c89933354..000000000
--- a/data/hfopenllm_v2/meta/chargoddard/prometheus-2-llama-3-8b/ea26b157-81d0-4aa2-a6df-d1d391ab2a3b.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/meta/cloudyu/Llama-3-70Bx2-MOE/8d0fa497-cdaa-4206-ae80-babed3089d43.json b/data/hfopenllm_v2/meta/cloudyu/Llama-3-70Bx2-MOE/8d0fa497-cdaa-4206-ae80-babed3089d43.json
deleted file mode 100644
index e6d48259d..000000000
--- a/data/hfopenllm_v2/meta/cloudyu/Llama-3-70Bx2-MOE/8d0fa497-cdaa-4206-ae80-babed3089d43.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/cloudyu/Llama-3.2-3Bx4/0f4eaf10-0a2d-48e7-9c22-e1c771da16a0.json b/data/hfopenllm_v2/meta/cloudyu/Llama-3.2-3Bx4/0f4eaf10-0a2d-48e7-9c22-e1c771da16a0.json
deleted file mode 100644
index 0929c4f10..000000000
--- a/data/hfopenllm_v2/meta/cloudyu/Llama-3.2-3Bx4/0f4eaf10-0a2d-48e7-9c22-e1c771da16a0.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/cloudyu/S1-Llama-3.2-3Bx4-MoE/4cd18600-a389-4a22-88f8-0e35739665bb.json b/data/hfopenllm_v2/meta/cloudyu/S1-Llama-3.2-3Bx4-MoE/4cd18600-a389-4a22-88f8-0e35739665bb.json
deleted file mode 100644
index ccb1493f4..000000000
--- a/data/hfopenllm_v2/meta/cloudyu/S1-Llama-3.2-3Bx4-MoE/4cd18600-a389-4a22-88f8-0e35739665bb.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/cluebbers/Llama-3.1-8B-paraphrase-type-generation-apty-ipo/e89bbd89-f8fa-4156-94d8-6f390a383557.json b/data/hfopenllm_v2/meta/cluebbers/Llama-3.1-8B-paraphrase-type-generation-apty-ipo/e89bbd89-f8fa-4156-94d8-6f390a383557.json
deleted file mode 100644
index f7e583b2f..000000000
--- a/data/hfopenllm_v2/meta/cluebbers/Llama-3.1-8B-paraphrase-type-generation-apty-ipo/e89bbd89-f8fa-4156-94d8-6f390a383557.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/cluebbers/Llama-3.1-8B-paraphrase-type-generation-apty-sigmoid/f7aec62a-004e-4034-b4d9-152452bb519a.json b/data/hfopenllm_v2/meta/cluebbers/Llama-3.1-8B-paraphrase-type-generation-apty-sigmoid/f7aec62a-004e-4034-b4d9-152452bb519a.json
deleted file mode 100644
index f98209630..000000000
--- a/data/hfopenllm_v2/meta/cluebbers/Llama-3.1-8B-paraphrase-type-generation-apty-sigmoid/f7aec62a-004e-4034-b4d9-152452bb519a.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/cluebbers/Llama-3.1-8B-paraphrase-type-generation-etpc/dbec72eb-bef2-4985-9ac6-bf5c6dabc25c.json b/data/hfopenllm_v2/meta/cluebbers/Llama-3.1-8B-paraphrase-type-generation-etpc/dbec72eb-bef2-4985-9ac6-bf5c6dabc25c.json
deleted file mode 100644
index c9c7aeac9..000000000
--- a/data/hfopenllm_v2/meta/cluebbers/Llama-3.1-8B-paraphrase-type-generation-etpc/dbec72eb-bef2-4985-9ac6-bf5c6dabc25c.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/cognitivecomputations/Dolphin3.0-Llama3.1-8B/fa439482-ca9c-49c3-9732-1147c3965c56.json b/data/hfopenllm_v2/meta/cognitivecomputations/Dolphin3.0-Llama3.1-8B/fa439482-ca9c-49c3-9732-1147c3965c56.json
deleted file mode 100644
index fab6cadab..000000000
--- a/data/hfopenllm_v2/meta/cognitivecomputations/Dolphin3.0-Llama3.1-8B/fa439482-ca9c-49c3-9732-1147c3965c56.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/cognitivecomputations/Dolphin3.0-Llama3.2-1B/0aecb893-2b9b-4cfd-bf97-b9887b0aa539.json b/data/hfopenllm_v2/meta/cognitivecomputations/Dolphin3.0-Llama3.2-1B/0aecb893-2b9b-4cfd-bf97-b9887b0aa539.json
deleted file mode 100644
index a80ee638a..000000000
--- a/data/hfopenllm_v2/meta/cognitivecomputations/Dolphin3.0-Llama3.2-1B/0aecb893-2b9b-4cfd-bf97-b9887b0aa539.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/cognitivecomputations/dolphin-2.9-llama3-8b/d985b9ab-a760-4a50-973e-6985e778b97d.json b/data/hfopenllm_v2/meta/cognitivecomputations/dolphin-2.9-llama3-8b/d985b9ab-a760-4a50-973e-6985e778b97d.json
deleted file mode 100644
index c57955694..000000000
--- a/data/hfopenllm_v2/meta/cognitivecomputations/dolphin-2.9-llama3-8b/d985b9ab-a760-4a50-973e-6985e778b97d.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/cognitivecomputations/dolphin-2.9.1-llama-3-70b/7c975279-f21e-418b-bc0b-739a933b91dc.json b/data/hfopenllm_v2/meta/cognitivecomputations/dolphin-2.9.1-llama-3-70b/7c975279-f21e-418b-bc0b-739a933b91dc.json
deleted file mode 100644
index 23495fcf9..000000000
--- a/data/hfopenllm_v2/meta/cognitivecomputations/dolphin-2.9.1-llama-3-70b/7c975279-f21e-418b-bc0b-739a933b91dc.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/cognitivecomputations/dolphin-2.9.4-llama3.1-8b/d7da3f99-b538-4b33-a3dc-b2e4a96d3f89.json b/data/hfopenllm_v2/meta/cognitivecomputations/dolphin-2.9.4-llama3.1-8b/d7da3f99-b538-4b33-a3dc-b2e4a96d3f89.json
deleted file mode 100644
index 11b8a64d7..000000000
--- a/data/hfopenllm_v2/meta/cognitivecomputations/dolphin-2.9.4-llama3.1-8b/d7da3f99-b538-4b33-a3dc-b2e4a96d3f89.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/collaiborateorg/Collaiborator-MEDLLM-Llama-3-8B-v2/55eeee3c-b812-4359-ab5f-4e3fa976648f.json b/data/hfopenllm_v2/meta/collaiborateorg/Collaiborator-MEDLLM-Llama-3-8B-v2/55eeee3c-b812-4359-ab5f-4e3fa976648f.json
deleted file mode 100644
index 0a7710266..000000000
--- a/data/hfopenllm_v2/meta/collaiborateorg/Collaiborator-MEDLLM-Llama-3-8B-v2/55eeee3c-b812-4359-ab5f-4e3fa976648f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/cpayne1303/llama-43m-beta/d79e4774-159d-4b47-8cc0-64d7844e7bfc.json b/data/hfopenllm_v2/meta/cpayne1303/llama-43m-beta/d79e4774-159d-4b47-8cc0-64d7844e7bfc.json
deleted file mode 100644
index d6e727927..000000000
--- a/data/hfopenllm_v2/meta/cpayne1303/llama-43m-beta/d79e4774-159d-4b47-8cc0-64d7844e7bfc.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/meta/cpayne1303/llama-43m-beta/d987e61a-c7cc-4072-9e2c-faa6304eab65.json b/data/hfopenllm_v2/meta/cpayne1303/llama-43m-beta/d987e61a-c7cc-4072-9e2c-faa6304eab65.json
deleted file mode 100644
index b0903a2fd..000000000
--- a/data/hfopenllm_v2/meta/cpayne1303/llama-43m-beta/d987e61a-c7cc-4072-9e2c-faa6304eab65.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/cstr/llama3.1-8b-spaetzle-v90/73270182-a54d-4fc5-834a-89283677c1af.json b/data/hfopenllm_v2/meta/cstr/llama3.1-8b-spaetzle-v90/73270182-a54d-4fc5-834a-89283677c1af.json
deleted file mode 100644
index 3a8b2af92..000000000
--- a/data/hfopenllm_v2/meta/cstr/llama3.1-8b-spaetzle-v90/73270182-a54d-4fc5-834a-89283677c1af.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/meta/deepseek-ai/DeepSeek-R1-Distill-Llama-70B/8df04772-fc5c-4dfb-8366-f9844bf52a0e.json b/data/hfopenllm_v2/meta/deepseek-ai/DeepSeek-R1-Distill-Llama-70B/8df04772-fc5c-4dfb-8366-f9844bf52a0e.json
deleted file mode 100644
index 7b1f12f7c..000000000
--- a/data/hfopenllm_v2/meta/deepseek-ai/DeepSeek-R1-Distill-Llama-70B/8df04772-fc5c-4dfb-8366-f9844bf52a0e.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/meta/deepseek-ai/DeepSeek-R1-Distill-Llama-8B/650f54ba-4d43-4e31-92cd-16c7c1913b34.json b/data/hfopenllm_v2/meta/deepseek-ai/DeepSeek-R1-Distill-Llama-8B/650f54ba-4d43-4e31-92cd-16c7c1913b34.json
deleted file mode 100644
index 49e2e68dc..000000000
--- a/data/hfopenllm_v2/meta/deepseek-ai/DeepSeek-R1-Distill-Llama-8B/650f54ba-4d43-4e31-92cd-16c7c1913b34.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/meta/dfurman/Llama-3-70B-Orpo-v0.1/854d263a-00cc-488a-83eb-c69bb74da5b5.json b/data/hfopenllm_v2/meta/dfurman/Llama-3-70B-Orpo-v0.1/854d263a-00cc-488a-83eb-c69bb74da5b5.json
deleted file mode 100644
index eff32b927..000000000
--- a/data/hfopenllm_v2/meta/dfurman/Llama-3-70B-Orpo-v0.1/854d263a-00cc-488a-83eb-c69bb74da5b5.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/dfurman/Llama-3-8B-Orpo-v0.1/0a6a3c2b-c0f5-44c7-9ac2-e278a303197e.json b/data/hfopenllm_v2/meta/dfurman/Llama-3-8B-Orpo-v0.1/0a6a3c2b-c0f5-44c7-9ac2-e278a303197e.json
deleted file mode 100644
index 717000bc9..000000000
--- a/data/hfopenllm_v2/meta/dfurman/Llama-3-8B-Orpo-v0.1/0a6a3c2b-c0f5-44c7-9ac2-e278a303197e.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/dfurman/Llama-3-8B-Orpo-v0.1/10047fc1-254f-406c-807c-3274d9780550.json b/data/hfopenllm_v2/meta/dfurman/Llama-3-8B-Orpo-v0.1/10047fc1-254f-406c-807c-3274d9780550.json
deleted file mode 100644
index aabe82f8d..000000000
--- a/data/hfopenllm_v2/meta/dfurman/Llama-3-8B-Orpo-v0.1/10047fc1-254f-406c-807c-3274d9780550.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/dnhkng/RYS-Llama3.1-Large/ca04e634-81e6-49fb-bdc4-2ff0ef04b75f.json b/data/hfopenllm_v2/meta/dnhkng/RYS-Llama3.1-Large/ca04e634-81e6-49fb-bdc4-2ff0ef04b75f.json
deleted file mode 100644
index 7d94f21e4..000000000
--- a/data/hfopenllm_v2/meta/dnhkng/RYS-Llama3.1-Large/ca04e634-81e6-49fb-bdc4-2ff0ef04b75f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/duyhv1411/Llama-3.2-1B-en-vi/000fcba9-c157-48de-b672-f583f4cd3881.json b/data/hfopenllm_v2/meta/duyhv1411/Llama-3.2-1B-en-vi/000fcba9-c157-48de-b672-f583f4cd3881.json
deleted file mode 100644
index 0b024064a..000000000
--- a/data/hfopenllm_v2/meta/duyhv1411/Llama-3.2-1B-en-vi/000fcba9-c157-48de-b672-f583f4cd3881.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/duyhv1411/Llama-3.2-3B-en-vi/31381b9d-77fe-491d-891c-de4fd37fa1cd.json b/data/hfopenllm_v2/meta/duyhv1411/Llama-3.2-3B-en-vi/31381b9d-77fe-491d-891c-de4fd37fa1cd.json
deleted file mode 100644
index ca3eef12e..000000000
--- a/data/hfopenllm_v2/meta/duyhv1411/Llama-3.2-3B-en-vi/31381b9d-77fe-491d-891c-de4fd37fa1cd.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/ehristoforu/HappyLlama1/07a29c73-e3f4-4f01-b105-ac1ef2fdff43.json b/data/hfopenllm_v2/meta/ehristoforu/HappyLlama1/07a29c73-e3f4-4f01-b105-ac1ef2fdff43.json
deleted file mode 100644
index d25a353c8..000000000
--- a/data/hfopenllm_v2/meta/ehristoforu/HappyLlama1/07a29c73-e3f4-4f01-b105-ac1ef2fdff43.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/ehristoforu/mllama-3.1-8b-it/c4fa1166-5255-4b95-8c7b-e1f93265f126.json b/data/hfopenllm_v2/meta/ehristoforu/mllama-3.1-8b-it/c4fa1166-5255-4b95-8c7b-e1f93265f126.json
deleted file mode 100644
index 900ce513b..000000000
--- a/data/hfopenllm_v2/meta/ehristoforu/mllama-3.1-8b-it/c4fa1166-5255-4b95-8c7b-e1f93265f126.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/flammenai/Llama3.1-Flammades-70B/92b8ecb7-80a2-4b77-bf20-8d87a36209c0.json b/data/hfopenllm_v2/meta/flammenai/Llama3.1-Flammades-70B/92b8ecb7-80a2-4b77-bf20-8d87a36209c0.json
deleted file mode 100644
index c836f56ef..000000000
--- a/data/hfopenllm_v2/meta/flammenai/Llama3.1-Flammades-70B/92b8ecb7-80a2-4b77-bf20-8d87a36209c0.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/flammenai/Mahou-1.2a-llama3-8B/eb10ecab-2be4-4b75-9b85-d2f2786fd095.json b/data/hfopenllm_v2/meta/flammenai/Mahou-1.2a-llama3-8B/eb10ecab-2be4-4b75-9b85-d2f2786fd095.json
deleted file mode 100644
index 4300c8b00..000000000
--- a/data/hfopenllm_v2/meta/flammenai/Mahou-1.2a-llama3-8B/eb10ecab-2be4-4b75-9b85-d2f2786fd095.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/flammenai/Mahou-1.5-llama3.1-70B/653ff1ac-158e-4d36-a813-22ebef4a76ce.json b/data/hfopenllm_v2/meta/flammenai/Mahou-1.5-llama3.1-70B/653ff1ac-158e-4d36-a813-22ebef4a76ce.json
deleted file mode 100644
index b9c743a16..000000000
--- a/data/hfopenllm_v2/meta/flammenai/Mahou-1.5-llama3.1-70B/653ff1ac-158e-4d36-a813-22ebef4a76ce.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/fluently-lm/Llama-TI-8B/63a32ad0-b871-437c-991a-342de8c13345.json b/data/hfopenllm_v2/meta/fluently-lm/Llama-TI-8B/63a32ad0-b871-437c-991a-342de8c13345.json
deleted file mode 100644
index bca85d4a8..000000000
--- a/data/hfopenllm_v2/meta/fluently-lm/Llama-TI-8B/63a32ad0-b871-437c-991a-342de8c13345.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/fulim/FineLlama-3.1-8B/46fa0a20-2810-4f0b-befe-afc3fc774734.json b/data/hfopenllm_v2/meta/fulim/FineLlama-3.1-8B/46fa0a20-2810-4f0b-befe-afc3fc774734.json
deleted file mode 100644
index fd13e6623..000000000
--- a/data/hfopenllm_v2/meta/fulim/FineLlama-3.1-8B/46fa0a20-2810-4f0b-befe-afc3fc774734.json
+++ /dev/null
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deleted file mode 100644
index 85c9a10af..000000000
--- a/data/hfopenllm_v2/meta/gbueno86/Brinebreath-Llama-3.1-70B/12e0e194-ef37-4da5-9354-e82f983fadb2.json
+++ /dev/null
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diff --git a/data/hfopenllm_v2/meta/gbueno86/Meta-LLama-3-Cat-Smaug-LLama-70b/9b7181ec-81f6-438a-8af6-a219f356f430.json b/data/hfopenllm_v2/meta/gbueno86/Meta-LLama-3-Cat-Smaug-LLama-70b/9b7181ec-81f6-438a-8af6-a219f356f430.json
deleted file mode 100644
index 0fba664ae..000000000
--- a/data/hfopenllm_v2/meta/gbueno86/Meta-LLama-3-Cat-Smaug-LLama-70b/9b7181ec-81f6-438a-8af6-a219f356f430.json
+++ /dev/null
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diff --git a/data/hfopenllm_v2/meta/glaiveai/Reflection-Llama-3.1-70B/3e8ba765-d24b-4ffe-a816-21ea02b7ba14.json b/data/hfopenllm_v2/meta/glaiveai/Reflection-Llama-3.1-70B/3e8ba765-d24b-4ffe-a816-21ea02b7ba14.json
deleted file mode 100644
index 8fade22df..000000000
--- a/data/hfopenllm_v2/meta/glaiveai/Reflection-Llama-3.1-70B/3e8ba765-d24b-4ffe-a816-21ea02b7ba14.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/meta/gmonsoon/SahabatAI-Llama-11B-Test/48f5e083-9fa3-4753-a734-578ac3e15e1f.json b/data/hfopenllm_v2/meta/gmonsoon/SahabatAI-Llama-11B-Test/48f5e083-9fa3-4753-a734-578ac3e15e1f.json
deleted file mode 100644
index c7fa42162..000000000
--- a/data/hfopenllm_v2/meta/gmonsoon/SahabatAI-Llama-11B-Test/48f5e083-9fa3-4753-a734-578ac3e15e1f.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/meta/grimjim/DeepSauerHuatuoSkywork-R1-o1-Llama-3.1-8B/f7439085-a0c9-4d5b-bd4f-bf1841d5ce02.json b/data/hfopenllm_v2/meta/grimjim/DeepSauerHuatuoSkywork-R1-o1-Llama-3.1-8B/f7439085-a0c9-4d5b-bd4f-bf1841d5ce02.json
deleted file mode 100644
index b2fcacad3..000000000
--- a/data/hfopenllm_v2/meta/grimjim/DeepSauerHuatuoSkywork-R1-o1-Llama-3.1-8B/f7439085-a0c9-4d5b-bd4f-bf1841d5ce02.json
+++ /dev/null
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diff --git a/data/hfopenllm_v2/meta/grimjim/HuatuoSkywork-o1-Llama-3.1-8B/6a173156-75b3-47f4-9f88-ecace0ee6942.json b/data/hfopenllm_v2/meta/grimjim/HuatuoSkywork-o1-Llama-3.1-8B/6a173156-75b3-47f4-9f88-ecace0ee6942.json
deleted file mode 100644
index 78d90a504..000000000
--- a/data/hfopenllm_v2/meta/grimjim/HuatuoSkywork-o1-Llama-3.1-8B/6a173156-75b3-47f4-9f88-ecace0ee6942.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/meta/grimjim/Llama-Nephilim-Metamorphosis-v2-8B/ac20706b-0370-47de-bc6b-ae188f8a9259.json b/data/hfopenllm_v2/meta/grimjim/Llama-Nephilim-Metamorphosis-v2-8B/ac20706b-0370-47de-bc6b-ae188f8a9259.json
deleted file mode 100644
index 02d5230aa..000000000
--- a/data/hfopenllm_v2/meta/grimjim/Llama-Nephilim-Metamorphosis-v2-8B/ac20706b-0370-47de-bc6b-ae188f8a9259.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/grimjim/Llama3.1-SuperNovaLite-HuatuoSkywork-o1-8B/f2fbc411-4a4b-4727-9fdc-eda481f4f10c.json b/data/hfopenllm_v2/meta/grimjim/Llama3.1-SuperNovaLite-HuatuoSkywork-o1-8B/f2fbc411-4a4b-4727-9fdc-eda481f4f10c.json
deleted file mode 100644
index f2e76eb40..000000000
--- a/data/hfopenllm_v2/meta/grimjim/Llama3.1-SuperNovaLite-HuatuoSkywork-o1-8B/f2fbc411-4a4b-4727-9fdc-eda481f4f10c.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/meta/grimjim/SauerHuatuoSkywork-o1-Llama-3.1-8B/30482674-45a3-4400-84e0-eef215540eb5.json b/data/hfopenllm_v2/meta/grimjim/SauerHuatuoSkywork-o1-Llama-3.1-8B/30482674-45a3-4400-84e0-eef215540eb5.json
deleted file mode 100644
index dffcb7f71..000000000
--- a/data/hfopenllm_v2/meta/grimjim/SauerHuatuoSkywork-o1-Llama-3.1-8B/30482674-45a3-4400-84e0-eef215540eb5.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/meta/grimjim/llama-3-Nephilim-v1-8B/498c4d5e-0500-42da-9c75-e8da578516f8.json b/data/hfopenllm_v2/meta/grimjim/llama-3-Nephilim-v1-8B/498c4d5e-0500-42da-9c75-e8da578516f8.json
deleted file mode 100644
index ea7160540..000000000
--- a/data/hfopenllm_v2/meta/grimjim/llama-3-Nephilim-v1-8B/498c4d5e-0500-42da-9c75-e8da578516f8.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/meta/grimjim/llama-3-Nephilim-v2-8B/de82dcd9-adae-4b28-8248-156e324e036d.json b/data/hfopenllm_v2/meta/grimjim/llama-3-Nephilim-v2-8B/de82dcd9-adae-4b28-8248-156e324e036d.json
deleted file mode 100644
index dcee63e4f..000000000
--- a/data/hfopenllm_v2/meta/grimjim/llama-3-Nephilim-v2-8B/de82dcd9-adae-4b28-8248-156e324e036d.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/grimjim/llama-3-Nephilim-v2.1-8B/df6327cf-82e1-437f-9c9a-c31205452717.json b/data/hfopenllm_v2/meta/grimjim/llama-3-Nephilim-v2.1-8B/df6327cf-82e1-437f-9c9a-c31205452717.json
deleted file mode 100644
index e72f16786..000000000
--- a/data/hfopenllm_v2/meta/grimjim/llama-3-Nephilim-v2.1-8B/df6327cf-82e1-437f-9c9a-c31205452717.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/grimjim/llama-3-Nephilim-v3-8B/ecee6e6a-15a1-4455-9724-34ca14477064.json b/data/hfopenllm_v2/meta/grimjim/llama-3-Nephilim-v3-8B/ecee6e6a-15a1-4455-9724-34ca14477064.json
deleted file mode 100644
index bb360c3f9..000000000
--- a/data/hfopenllm_v2/meta/grimjim/llama-3-Nephilim-v3-8B/ecee6e6a-15a1-4455-9724-34ca14477064.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/hotmailuser/Llama-Hermes-slerp-8B/cf2de222-77bf-456c-acb3-c3aa33367a9d.json b/data/hfopenllm_v2/meta/hotmailuser/Llama-Hermes-slerp-8B/cf2de222-77bf-456c-acb3-c3aa33367a9d.json
deleted file mode 100644
index 6fbd05450..000000000
--- a/data/hfopenllm_v2/meta/hotmailuser/Llama-Hermes-slerp-8B/cf2de222-77bf-456c-acb3-c3aa33367a9d.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/hotmailuser/Llama-Hermes-slerp2-8B/be5505d7-06ae-4ab5-ba7f-6ff4732b3180.json b/data/hfopenllm_v2/meta/hotmailuser/Llama-Hermes-slerp2-8B/be5505d7-06ae-4ab5-ba7f-6ff4732b3180.json
deleted file mode 100644
index 745f63a68..000000000
--- a/data/hfopenllm_v2/meta/hotmailuser/Llama-Hermes-slerp2-8B/be5505d7-06ae-4ab5-ba7f-6ff4732b3180.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/meta/hotmailuser/LlamaStock-8B/23b559eb-4493-462f-bb37-5e232b3336bc.json b/data/hfopenllm_v2/meta/hotmailuser/LlamaStock-8B/23b559eb-4493-462f-bb37-5e232b3336bc.json
deleted file mode 100644
index 05a848623..000000000
--- a/data/hfopenllm_v2/meta/hotmailuser/LlamaStock-8B/23b559eb-4493-462f-bb37-5e232b3336bc.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/meta/huggyllama/llama-13b/20b49499-5df3-450c-a20d-dc421b937e91.json b/data/hfopenllm_v2/meta/huggyllama/llama-13b/20b49499-5df3-450c-a20d-dc421b937e91.json
deleted file mode 100644
index 7a2bcb5cd..000000000
--- a/data/hfopenllm_v2/meta/huggyllama/llama-13b/20b49499-5df3-450c-a20d-dc421b937e91.json
+++ /dev/null
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diff --git a/data/hfopenllm_v2/meta/huggyllama/llama-65b/2bff16e4-f0ed-4957-8b20-4ae269642088.json b/data/hfopenllm_v2/meta/huggyllama/llama-65b/2bff16e4-f0ed-4957-8b20-4ae269642088.json
deleted file mode 100644
index 431a87e2e..000000000
--- a/data/hfopenllm_v2/meta/huggyllama/llama-65b/2bff16e4-f0ed-4957-8b20-4ae269642088.json
+++ /dev/null
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-{
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diff --git a/data/hfopenllm_v2/meta/huggyllama/llama-7b/61a5624d-ef42-4fdd-a0b1-08fdc2d07615.json b/data/hfopenllm_v2/meta/huggyllama/llama-7b/61a5624d-ef42-4fdd-a0b1-08fdc2d07615.json
deleted file mode 100644
index 8bf40d29a..000000000
--- a/data/hfopenllm_v2/meta/huggyllama/llama-7b/61a5624d-ef42-4fdd-a0b1-08fdc2d07615.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/iFaz/llama31_8B_en_emo_v4/198e5d81-0dcd-4dc0-9919-139ce0aa2dd5.json b/data/hfopenllm_v2/meta/iFaz/llama31_8B_en_emo_v4/198e5d81-0dcd-4dc0-9919-139ce0aa2dd5.json
deleted file mode 100644
index 9f9bedfdf..000000000
--- a/data/hfopenllm_v2/meta/iFaz/llama31_8B_en_emo_v4/198e5d81-0dcd-4dc0-9919-139ce0aa2dd5.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/iFaz/llama32_1B_en_emo_v1/f202b553-56e6-4a27-b2fa-0f98feabe11e.json b/data/hfopenllm_v2/meta/iFaz/llama32_1B_en_emo_v1/f202b553-56e6-4a27-b2fa-0f98feabe11e.json
deleted file mode 100644
index 5ad6ede70..000000000
--- a/data/hfopenllm_v2/meta/iFaz/llama32_1B_en_emo_v1/f202b553-56e6-4a27-b2fa-0f98feabe11e.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/meta/iFaz/llama32_3B_en_emo_1000_stp/a4111230-4313-4f75-bcd3-c598e436987b.json b/data/hfopenllm_v2/meta/iFaz/llama32_3B_en_emo_1000_stp/a4111230-4313-4f75-bcd3-c598e436987b.json
deleted file mode 100644
index 8077343c4..000000000
--- a/data/hfopenllm_v2/meta/iFaz/llama32_3B_en_emo_1000_stp/a4111230-4313-4f75-bcd3-c598e436987b.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/meta/iFaz/llama32_3B_en_emo_2000_stp/5468fbdc-63e7-4e9d-8370-2f3f0e83e559.json b/data/hfopenllm_v2/meta/iFaz/llama32_3B_en_emo_2000_stp/5468fbdc-63e7-4e9d-8370-2f3f0e83e559.json
deleted file mode 100644
index 76ed90686..000000000
--- a/data/hfopenllm_v2/meta/iFaz/llama32_3B_en_emo_2000_stp/5468fbdc-63e7-4e9d-8370-2f3f0e83e559.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/iFaz/llama32_3B_en_emo_300_stp/0806c872-f913-493a-ada4-7db88a93b840.json b/data/hfopenllm_v2/meta/iFaz/llama32_3B_en_emo_300_stp/0806c872-f913-493a-ada4-7db88a93b840.json
deleted file mode 100644
index 693dad624..000000000
--- a/data/hfopenllm_v2/meta/iFaz/llama32_3B_en_emo_300_stp/0806c872-f913-493a-ada4-7db88a93b840.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/iFaz/llama32_3B_en_emo_5000_stp/9ffc9dbb-065b-47ae-a985-541ee7f7126d.json b/data/hfopenllm_v2/meta/iFaz/llama32_3B_en_emo_5000_stp/9ffc9dbb-065b-47ae-a985-541ee7f7126d.json
deleted file mode 100644
index e5223ff26..000000000
--- a/data/hfopenllm_v2/meta/iFaz/llama32_3B_en_emo_5000_stp/9ffc9dbb-065b-47ae-a985-541ee7f7126d.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/iFaz/llama32_3B_en_emo_v2/03587c1e-14e3-434f-9582-448914832c95.json b/data/hfopenllm_v2/meta/iFaz/llama32_3B_en_emo_v2/03587c1e-14e3-434f-9582-448914832c95.json
deleted file mode 100644
index c52948ac2..000000000
--- a/data/hfopenllm_v2/meta/iFaz/llama32_3B_en_emo_v2/03587c1e-14e3-434f-9582-448914832c95.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/iFaz/llama32_3B_en_emo_v3/8bb5540b-b19d-4641-9dea-36ea43b07250.json b/data/hfopenllm_v2/meta/iFaz/llama32_3B_en_emo_v3/8bb5540b-b19d-4641-9dea-36ea43b07250.json
deleted file mode 100644
index 402922aad..000000000
--- a/data/hfopenllm_v2/meta/iFaz/llama32_3B_en_emo_v3/8bb5540b-b19d-4641-9dea-36ea43b07250.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/jiangxinyang-shanda/Homer-LLama3-8B/73c50ab1-bdf8-4fbc-b7e6-d4a8e8bb8a4e.json b/data/hfopenllm_v2/meta/jiangxinyang-shanda/Homer-LLama3-8B/73c50ab1-bdf8-4fbc-b7e6-d4a8e8bb8a4e.json
deleted file mode 100644
index ffdf5c623..000000000
--- a/data/hfopenllm_v2/meta/jiangxinyang-shanda/Homer-LLama3-8B/73c50ab1-bdf8-4fbc-b7e6-d4a8e8bb8a4e.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/keeeeenw/MicroLlama/7407c2ed-23f5-4c92-b987-2c3a91147d98.json b/data/hfopenllm_v2/meta/keeeeenw/MicroLlama/7407c2ed-23f5-4c92-b987-2c3a91147d98.json
deleted file mode 100644
index fa7241dce..000000000
--- a/data/hfopenllm_v2/meta/keeeeenw/MicroLlama/7407c2ed-23f5-4c92-b987-2c3a91147d98.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/meta/kevin009/llamaRAGdrama/41e4d24f-9790-40f5-a915-ee4155d5cbc6.json b/data/hfopenllm_v2/meta/kevin009/llamaRAGdrama/41e4d24f-9790-40f5-a915-ee4155d5cbc6.json
deleted file mode 100644
index 9a0a7b688..000000000
--- a/data/hfopenllm_v2/meta/kevin009/llamaRAGdrama/41e4d24f-9790-40f5-a915-ee4155d5cbc6.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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deleted file mode 100644
index aa4bcbb48..000000000
--- a/data/hfopenllm_v2/meta/khoantap/llama-3-8b-stock-merge/211ac2a5-5bd1-4347-8eb8-fa1bd4b1a5ad.json
+++ /dev/null
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diff --git a/data/hfopenllm_v2/meta/khoantap/llama-breadcrumbs-ties-merge/9eae434a-fb2a-45b9-a592-f39a9c469f07.json b/data/hfopenllm_v2/meta/khoantap/llama-breadcrumbs-ties-merge/9eae434a-fb2a-45b9-a592-f39a9c469f07.json
deleted file mode 100644
index 7d6dde3b0..000000000
--- a/data/hfopenllm_v2/meta/khoantap/llama-breadcrumbs-ties-merge/9eae434a-fb2a-45b9-a592-f39a9c469f07.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/meta/khoantap/llama-evolve-ties-best-merge/0ab7f323-1be5-4fc7-a5d8-d4f77f802da3.json b/data/hfopenllm_v2/meta/khoantap/llama-evolve-ties-best-merge/0ab7f323-1be5-4fc7-a5d8-d4f77f802da3.json
deleted file mode 100644
index faebf522d..000000000
--- a/data/hfopenllm_v2/meta/khoantap/llama-evolve-ties-best-merge/0ab7f323-1be5-4fc7-a5d8-d4f77f802da3.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/meta/khoantap/llama-linear-0.5-0.5-1-merge/0906fee9-0edd-494f-bf01-a34711f17596.json b/data/hfopenllm_v2/meta/khoantap/llama-linear-0.5-0.5-1-merge/0906fee9-0edd-494f-bf01-a34711f17596.json
deleted file mode 100644
index 516a70507..000000000
--- a/data/hfopenllm_v2/meta/khoantap/llama-linear-0.5-0.5-1-merge/0906fee9-0edd-494f-bf01-a34711f17596.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/meta/khoantap/llama-linear-0.5-1-0.5-merge/88d174f6-6d30-4859-bbf0-6f5446ce1b9d.json b/data/hfopenllm_v2/meta/khoantap/llama-linear-0.5-1-0.5-merge/88d174f6-6d30-4859-bbf0-6f5446ce1b9d.json
deleted file mode 100644
index f223a16a2..000000000
--- a/data/hfopenllm_v2/meta/khoantap/llama-linear-0.5-1-0.5-merge/88d174f6-6d30-4859-bbf0-6f5446ce1b9d.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/khoantap/llama-linear-1-0.5-0.5-merge/49e5e4e4-6905-4b9e-9f53-b7ac598b5102.json b/data/hfopenllm_v2/meta/khoantap/llama-linear-1-0.5-0.5-merge/49e5e4e4-6905-4b9e-9f53-b7ac598b5102.json
deleted file mode 100644
index 4847609e5..000000000
--- a/data/hfopenllm_v2/meta/khoantap/llama-linear-1-0.5-0.5-merge/49e5e4e4-6905-4b9e-9f53-b7ac598b5102.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/khoantap/llama-slerp-merge/e30c2825-6d36-454c-8787-e5cbdfcbcfdf.json b/data/hfopenllm_v2/meta/khoantap/llama-slerp-merge/e30c2825-6d36-454c-8787-e5cbdfcbcfdf.json
deleted file mode 100644
index e4bc0e10c..000000000
--- a/data/hfopenllm_v2/meta/khoantap/llama-slerp-merge/e30c2825-6d36-454c-8787-e5cbdfcbcfdf.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/khulaifi95/Llama-3.1-8B-Reason-Blend-888k/85a2710f-feaf-4dc2-aafa-04c33abf6425.json b/data/hfopenllm_v2/meta/khulaifi95/Llama-3.1-8B-Reason-Blend-888k/85a2710f-feaf-4dc2-aafa-04c33abf6425.json
deleted file mode 100644
index 3e768f791..000000000
--- a/data/hfopenllm_v2/meta/khulaifi95/Llama-3.1-8B-Reason-Blend-888k/85a2710f-feaf-4dc2-aafa-04c33abf6425.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/laislemke/LLaMA-2-vicuna-7b-slerp/66d98c7d-7fd1-41bc-9229-855f9d02412d.json b/data/hfopenllm_v2/meta/laislemke/LLaMA-2-vicuna-7b-slerp/66d98c7d-7fd1-41bc-9229-855f9d02412d.json
deleted file mode 100644
index 16522c6d8..000000000
--- a/data/hfopenllm_v2/meta/laislemke/LLaMA-2-vicuna-7b-slerp/66d98c7d-7fd1-41bc-9229-855f9d02412d.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/meta/lemon07r/Llama-3-RedMagic4-8B/22ae03c6-dd4f-4263-a005-624dae701da3.json b/data/hfopenllm_v2/meta/lemon07r/Llama-3-RedMagic4-8B/22ae03c6-dd4f-4263-a005-624dae701da3.json
deleted file mode 100644
index f41a9007f..000000000
--- a/data/hfopenllm_v2/meta/lemon07r/Llama-3-RedMagic4-8B/22ae03c6-dd4f-4263-a005-624dae701da3.json
+++ /dev/null
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-{
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deleted file mode 100644
index c7c1d04be..000000000
--- a/data/hfopenllm_v2/meta/lemon07r/llama-3-NeuralMahou-8b/13b8357d-225e-4ba0-bf34-45479a562532.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/lightblue/suzume-llama-3-8B-multilingual-orpo-borda-full/37aa2a50-974f-4cb0-81e3-f160f08c8a0e.json b/data/hfopenllm_v2/meta/lightblue/suzume-llama-3-8B-multilingual-orpo-borda-full/37aa2a50-974f-4cb0-81e3-f160f08c8a0e.json
deleted file mode 100644
index 09ca2b8c9..000000000
--- a/data/hfopenllm_v2/meta/lightblue/suzume-llama-3-8B-multilingual-orpo-borda-full/37aa2a50-974f-4cb0-81e3-f160f08c8a0e.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/lightblue/suzume-llama-3-8B-multilingual-orpo-borda-half/90ab1587-99b9-48e1-b3f3-8aaf07313eaa.json b/data/hfopenllm_v2/meta/lightblue/suzume-llama-3-8B-multilingual-orpo-borda-half/90ab1587-99b9-48e1-b3f3-8aaf07313eaa.json
deleted file mode 100644
index b479a5b8d..000000000
--- a/data/hfopenllm_v2/meta/lightblue/suzume-llama-3-8B-multilingual-orpo-borda-half/90ab1587-99b9-48e1-b3f3-8aaf07313eaa.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/lightblue/suzume-llama-3-8B-multilingual-orpo-borda-top25/ebfb14c0-d725-4650-9d04-ed4f7ebaf676.json b/data/hfopenllm_v2/meta/lightblue/suzume-llama-3-8B-multilingual-orpo-borda-top25/ebfb14c0-d725-4650-9d04-ed4f7ebaf676.json
deleted file mode 100644
index 88dfa2084..000000000
--- a/data/hfopenllm_v2/meta/lightblue/suzume-llama-3-8B-multilingual-orpo-borda-top25/ebfb14c0-d725-4650-9d04-ed4f7ebaf676.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/lightblue/suzume-llama-3-8B-multilingual-orpo-borda-top75/fcb13fe4-e314-4cdd-ae6e-82531ad6a829.json b/data/hfopenllm_v2/meta/lightblue/suzume-llama-3-8B-multilingual-orpo-borda-top75/fcb13fe4-e314-4cdd-ae6e-82531ad6a829.json
deleted file mode 100644
index 48e8f399a..000000000
--- a/data/hfopenllm_v2/meta/lightblue/suzume-llama-3-8B-multilingual-orpo-borda-top75/fcb13fe4-e314-4cdd-ae6e-82531ad6a829.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/lightblue/suzume-llama-3-8B-multilingual/8eaee9b3-78b0-4523-9151-695c27c5cfa7.json b/data/hfopenllm_v2/meta/lightblue/suzume-llama-3-8B-multilingual/8eaee9b3-78b0-4523-9151-695c27c5cfa7.json
deleted file mode 100644
index e6dcb2000..000000000
--- a/data/hfopenllm_v2/meta/lightblue/suzume-llama-3-8B-multilingual/8eaee9b3-78b0-4523-9151-695c27c5cfa7.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/m42-health/Llama3-Med42-70B/36ebe051-2bac-46cb-b990-33025df0ccac.json b/data/hfopenllm_v2/meta/m42-health/Llama3-Med42-70B/36ebe051-2bac-46cb-b990-33025df0ccac.json
deleted file mode 100644
index a5b93b82c..000000000
--- a/data/hfopenllm_v2/meta/m42-health/Llama3-Med42-70B/36ebe051-2bac-46cb-b990-33025df0ccac.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/maldv/badger-kappa-llama-3-8b/32e1b138-c236-48e3-8152-d3715127d309.json b/data/hfopenllm_v2/meta/maldv/badger-kappa-llama-3-8b/32e1b138-c236-48e3-8152-d3715127d309.json
deleted file mode 100644
index 724231ca9..000000000
--- a/data/hfopenllm_v2/meta/maldv/badger-kappa-llama-3-8b/32e1b138-c236-48e3-8152-d3715127d309.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/maldv/badger-lambda-llama-3-8b/18ae9d71-15e0-4d11-86c0-9cac4dbaa3f3.json b/data/hfopenllm_v2/meta/maldv/badger-lambda-llama-3-8b/18ae9d71-15e0-4d11-86c0-9cac4dbaa3f3.json
deleted file mode 100644
index 6efb09e43..000000000
--- a/data/hfopenllm_v2/meta/maldv/badger-lambda-llama-3-8b/18ae9d71-15e0-4d11-86c0-9cac4dbaa3f3.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/maldv/badger-mu-llama-3-8b/d43699f9-e6e5-428b-ab52-9d7114443608.json b/data/hfopenllm_v2/meta/maldv/badger-mu-llama-3-8b/d43699f9-e6e5-428b-ab52-9d7114443608.json
deleted file mode 100644
index 833eb1dc6..000000000
--- a/data/hfopenllm_v2/meta/maldv/badger-mu-llama-3-8b/d43699f9-e6e5-428b-ab52-9d7114443608.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/maldv/badger-writer-llama-3-8b/7c88458f-e9a0-4e90-b5ed-dbdb6fd49b9d.json b/data/hfopenllm_v2/meta/maldv/badger-writer-llama-3-8b/7c88458f-e9a0-4e90-b5ed-dbdb6fd49b9d.json
deleted file mode 100644
index f977c9d5b..000000000
--- a/data/hfopenllm_v2/meta/maldv/badger-writer-llama-3-8b/7c88458f-e9a0-4e90-b5ed-dbdb6fd49b9d.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/mattshumer/Reflection-Llama-3.1-70B/155f55e9-34e3-4753-a783-31df44e791e0.json b/data/hfopenllm_v2/meta/mattshumer/Reflection-Llama-3.1-70B/155f55e9-34e3-4753-a783-31df44e791e0.json
deleted file mode 100644
index 94a384e1d..000000000
--- a/data/hfopenllm_v2/meta/mattshumer/Reflection-Llama-3.1-70B/155f55e9-34e3-4753-a783-31df44e791e0.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/meditsolutions/Llama-3.1-MedIT-SUN-8B/94d286c8-8356-4bdd-ac91-2ce517b6b974.json b/data/hfopenllm_v2/meta/meditsolutions/Llama-3.1-MedIT-SUN-8B/94d286c8-8356-4bdd-ac91-2ce517b6b974.json
deleted file mode 100644
index 344c83307..000000000
--- a/data/hfopenllm_v2/meta/meditsolutions/Llama-3.1-MedIT-SUN-8B/94d286c8-8356-4bdd-ac91-2ce517b6b974.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/meditsolutions/Llama-3.2-SUN-2.4B-checkpoint-26000/85ccad14-a4eb-41c8-b1b7-f2d0215c358a.json b/data/hfopenllm_v2/meta/meditsolutions/Llama-3.2-SUN-2.4B-checkpoint-26000/85ccad14-a4eb-41c8-b1b7-f2d0215c358a.json
deleted file mode 100644
index a52c92f8d..000000000
--- a/data/hfopenllm_v2/meta/meditsolutions/Llama-3.2-SUN-2.4B-checkpoint-26000/85ccad14-a4eb-41c8-b1b7-f2d0215c358a.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/meditsolutions/Llama-3.2-SUN-2.4B-checkpoint-34800/23dca426-d0d9-43d0-86ff-50e01cc292d0.json b/data/hfopenllm_v2/meta/meditsolutions/Llama-3.2-SUN-2.4B-checkpoint-34800/23dca426-d0d9-43d0-86ff-50e01cc292d0.json
deleted file mode 100644
index 042b99197..000000000
--- a/data/hfopenllm_v2/meta/meditsolutions/Llama-3.2-SUN-2.4B-checkpoint-34800/23dca426-d0d9-43d0-86ff-50e01cc292d0.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/meditsolutions/Llama-3.2-SUN-2.4B-v1.0.0/bba22496-6f3a-4ddb-8a69-5995e72aa15f.json b/data/hfopenllm_v2/meta/meditsolutions/Llama-3.2-SUN-2.4B-v1.0.0/bba22496-6f3a-4ddb-8a69-5995e72aa15f.json
deleted file mode 100644
index d2a11993b..000000000
--- a/data/hfopenllm_v2/meta/meditsolutions/Llama-3.2-SUN-2.4B-v1.0.0/bba22496-6f3a-4ddb-8a69-5995e72aa15f.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/meta/meta-llama/Llama-2-13b-hf/7a0c1d3a-26f5-44d0-8ca1-8ce6db39cb99.json b/data/hfopenllm_v2/meta/meta-llama/Llama-2-13b-hf/7a0c1d3a-26f5-44d0-8ca1-8ce6db39cb99.json
deleted file mode 100644
index c20397a36..000000000
--- a/data/hfopenllm_v2/meta/meta-llama/Llama-2-13b-hf/7a0c1d3a-26f5-44d0-8ca1-8ce6db39cb99.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/meta-llama/Llama-2-70b-hf/70acb3cd-fea6-481a-8bf4-fa72e953c110.json b/data/hfopenllm_v2/meta/meta-llama/Llama-2-70b-hf/70acb3cd-fea6-481a-8bf4-fa72e953c110.json
deleted file mode 100644
index 00177dfb2..000000000
--- a/data/hfopenllm_v2/meta/meta-llama/Llama-2-70b-hf/70acb3cd-fea6-481a-8bf4-fa72e953c110.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/meta-llama/Llama-2-7b-hf/36fbd2e7-97fa-4ba4-aad2-47bfc225771d.json b/data/hfopenllm_v2/meta/meta-llama/Llama-2-7b-hf/36fbd2e7-97fa-4ba4-aad2-47bfc225771d.json
deleted file mode 100644
index 07c2c5438..000000000
--- a/data/hfopenllm_v2/meta/meta-llama/Llama-2-7b-hf/36fbd2e7-97fa-4ba4-aad2-47bfc225771d.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/meta-llama/Llama-3.1-70B/88d33049-cd88-4b4a-94ba-d0c35a635cfc.json b/data/hfopenllm_v2/meta/meta-llama/Llama-3.1-70B/88d33049-cd88-4b4a-94ba-d0c35a635cfc.json
deleted file mode 100644
index 1af4778d2..000000000
--- a/data/hfopenllm_v2/meta/meta-llama/Llama-3.1-70B/88d33049-cd88-4b4a-94ba-d0c35a635cfc.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/meta-llama/Llama-3.1-8B/58e87619-6244-45b9-8a1f-b2f8f0d0cd31.json b/data/hfopenllm_v2/meta/meta-llama/Llama-3.1-8B/58e87619-6244-45b9-8a1f-b2f8f0d0cd31.json
deleted file mode 100644
index 35b5da405..000000000
--- a/data/hfopenllm_v2/meta/meta-llama/Llama-3.1-8B/58e87619-6244-45b9-8a1f-b2f8f0d0cd31.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/meta-llama/Llama-3.2-1B/b4b6a8d2-be7f-4b8f-b280-3e62015a61d3.json b/data/hfopenllm_v2/meta/meta-llama/Llama-3.2-1B/b4b6a8d2-be7f-4b8f-b280-3e62015a61d3.json
deleted file mode 100644
index 1eb1a0361..000000000
--- a/data/hfopenllm_v2/meta/meta-llama/Llama-3.2-1B/b4b6a8d2-be7f-4b8f-b280-3e62015a61d3.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/meta/meta-llama/Llama-3.2-3B/19aba348-6bdd-425a-bd7b-505aa2658f6c.json b/data/hfopenllm_v2/meta/meta-llama/Llama-3.2-3B/19aba348-6bdd-425a-bd7b-505aa2658f6c.json
deleted file mode 100644
index 6854ce80b..000000000
--- a/data/hfopenllm_v2/meta/meta-llama/Llama-3.2-3B/19aba348-6bdd-425a-bd7b-505aa2658f6c.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/meta-llama/Meta-Llama-3-70B/dddadaa0-6808-4b34-a6e2-29663460c3e0.json b/data/hfopenllm_v2/meta/meta-llama/Meta-Llama-3-70B/dddadaa0-6808-4b34-a6e2-29663460c3e0.json
deleted file mode 100644
index 78ff1f71a..000000000
--- a/data/hfopenllm_v2/meta/meta-llama/Meta-Llama-3-70B/dddadaa0-6808-4b34-a6e2-29663460c3e0.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/meta-llama/Meta-Llama-3-8B/75f6ae05-a987-455d-8167-fc345d55c370.json b/data/hfopenllm_v2/meta/meta-llama/Meta-Llama-3-8B/75f6ae05-a987-455d-8167-fc345d55c370.json
deleted file mode 100644
index 1598d77f9..000000000
--- a/data/hfopenllm_v2/meta/meta-llama/Meta-Llama-3-8B/75f6ae05-a987-455d-8167-fc345d55c370.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/migtissera/Llama-3-70B-Synthia-v3.5/7ba5e7cb-3050-4838-8762-4b31a5c9d912.json b/data/hfopenllm_v2/meta/migtissera/Llama-3-70B-Synthia-v3.5/7ba5e7cb-3050-4838-8762-4b31a5c9d912.json
deleted file mode 100644
index 313c48208..000000000
--- a/data/hfopenllm_v2/meta/migtissera/Llama-3-70B-Synthia-v3.5/7ba5e7cb-3050-4838-8762-4b31a5c9d912.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/migtissera/Llama-3-8B-Synthia-v3.5/3c843cd0-ce71-4feb-9452-65fc7534518e.json b/data/hfopenllm_v2/meta/migtissera/Llama-3-8B-Synthia-v3.5/3c843cd0-ce71-4feb-9452-65fc7534518e.json
deleted file mode 100644
index 2bb07db3d..000000000
--- a/data/hfopenllm_v2/meta/migtissera/Llama-3-8B-Synthia-v3.5/3c843cd0-ce71-4feb-9452-65fc7534518e.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/mindw96/DeepSeek-llama3.3-Bllossom-8B-DACON-LLM3/ce85152e-fdde-406a-9818-0eb945ff1d6a.json b/data/hfopenllm_v2/meta/mindw96/DeepSeek-llama3.3-Bllossom-8B-DACON-LLM3/ce85152e-fdde-406a-9818-0eb945ff1d6a.json
deleted file mode 100644
index 6309729aa..000000000
--- a/data/hfopenllm_v2/meta/mindw96/DeepSeek-llama3.3-Bllossom-8B-DACON-LLM3/ce85152e-fdde-406a-9818-0eb945ff1d6a.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/meta/mkurman/llama-3.2-MEDIT-3B-o1/43a51d6d-e038-4476-a63b-2f4260d736d4.json b/data/hfopenllm_v2/meta/mkurman/llama-3.2-MEDIT-3B-o1/43a51d6d-e038-4476-a63b-2f4260d736d4.json
deleted file mode 100644
index e3d0ee4ce..000000000
--- a/data/hfopenllm_v2/meta/mkurman/llama-3.2-MEDIT-3B-o1/43a51d6d-e038-4476-a63b-2f4260d736d4.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/mkxu/llama-3-8b-po1/e26ea6fd-723d-45de-b0f1-5bcbae1eb992.json b/data/hfopenllm_v2/meta/mkxu/llama-3-8b-po1/e26ea6fd-723d-45de-b0f1-5bcbae1eb992.json
deleted file mode 100644
index cedb8bfd5..000000000
--- a/data/hfopenllm_v2/meta/mkxu/llama-3-8b-po1/e26ea6fd-723d-45de-b0f1-5bcbae1eb992.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/mlabonne/ChimeraLlama-3-8B-v2/fd31a5f1-986e-4040-b04b-3018161e6e66.json b/data/hfopenllm_v2/meta/mlabonne/ChimeraLlama-3-8B-v2/fd31a5f1-986e-4040-b04b-3018161e6e66.json
deleted file mode 100644
index ba5dd2c32..000000000
--- a/data/hfopenllm_v2/meta/mlabonne/ChimeraLlama-3-8B-v2/fd31a5f1-986e-4040-b04b-3018161e6e66.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/mlabonne/ChimeraLlama-3-8B-v3/eef221de-8dc3-410a-943d-900c810948ae.json b/data/hfopenllm_v2/meta/mlabonne/ChimeraLlama-3-8B-v3/eef221de-8dc3-410a-943d-900c810948ae.json
deleted file mode 100644
index 0f2202c99..000000000
--- a/data/hfopenllm_v2/meta/mlabonne/ChimeraLlama-3-8B-v3/eef221de-8dc3-410a-943d-900c810948ae.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/mlabonne/Hermes-3-Llama-3.1-70B-lorablated/07190707-16fb-47fc-9813-4f2408a04bdb.json b/data/hfopenllm_v2/meta/mlabonne/Hermes-3-Llama-3.1-70B-lorablated/07190707-16fb-47fc-9813-4f2408a04bdb.json
deleted file mode 100644
index 2bcd358b8..000000000
--- a/data/hfopenllm_v2/meta/mlabonne/Hermes-3-Llama-3.1-70B-lorablated/07190707-16fb-47fc-9813-4f2408a04bdb.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/mlabonne/OrpoLlama-3-8B/b8b5b30e-d259-49ae-8155-7f63ddae88c8.json b/data/hfopenllm_v2/meta/mlabonne/OrpoLlama-3-8B/b8b5b30e-d259-49ae-8155-7f63ddae88c8.json
deleted file mode 100644
index 9a84f60cd..000000000
--- a/data/hfopenllm_v2/meta/mlabonne/OrpoLlama-3-8B/b8b5b30e-d259-49ae-8155-7f63ddae88c8.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/mmnga/Llama-3-70B-japanese-suzume-vector-v0.1/56f52103-ea5e-4228-ac7b-3c6929fe5b76.json b/data/hfopenllm_v2/meta/mmnga/Llama-3-70B-japanese-suzume-vector-v0.1/56f52103-ea5e-4228-ac7b-3c6929fe5b76.json
deleted file mode 100644
index f804cb0ff..000000000
--- a/data/hfopenllm_v2/meta/mmnga/Llama-3-70B-japanese-suzume-vector-v0.1/56f52103-ea5e-4228-ac7b-3c6929fe5b76.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/mobiuslabsgmbh/DeepSeek-R1-ReDistill-Llama3-8B-v1.1/09ec0c0c-d403-4f23-99a4-61196c70734d.json b/data/hfopenllm_v2/meta/mobiuslabsgmbh/DeepSeek-R1-ReDistill-Llama3-8B-v1.1/09ec0c0c-d403-4f23-99a4-61196c70734d.json
deleted file mode 100644
index eb7a94979..000000000
--- a/data/hfopenllm_v2/meta/mobiuslabsgmbh/DeepSeek-R1-ReDistill-Llama3-8B-v1.1/09ec0c0c-d403-4f23-99a4-61196c70734d.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/mukaj/Llama-3.1-Hawkish-8B/b94f468b-7c0e-491e-8404-de1bad7ff0f0.json b/data/hfopenllm_v2/meta/mukaj/Llama-3.1-Hawkish-8B/b94f468b-7c0e-491e-8404-de1bad7ff0f0.json
deleted file mode 100644
index 5b0b04770..000000000
--- a/data/hfopenllm_v2/meta/mukaj/Llama-3.1-Hawkish-8B/b94f468b-7c0e-491e-8404-de1bad7ff0f0.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/nbeerbower/Llama-3.1-Nemotron-lorablated-70B/a9af8b88-8f00-4662-8ca4-d042030885ae.json b/data/hfopenllm_v2/meta/nbeerbower/Llama-3.1-Nemotron-lorablated-70B/a9af8b88-8f00-4662-8ca4-d042030885ae.json
deleted file mode 100644
index 06815a4c0..000000000
--- a/data/hfopenllm_v2/meta/nbeerbower/Llama-3.1-Nemotron-lorablated-70B/a9af8b88-8f00-4662-8ca4-d042030885ae.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/nbeerbower/Llama3.1-Gutenberg-Doppel-70B/fffd0da2-d4b0-4a11-9fd4-c0dfa0c70431.json b/data/hfopenllm_v2/meta/nbeerbower/Llama3.1-Gutenberg-Doppel-70B/fffd0da2-d4b0-4a11-9fd4-c0dfa0c70431.json
deleted file mode 100644
index f91002769..000000000
--- a/data/hfopenllm_v2/meta/nbeerbower/Llama3.1-Gutenberg-Doppel-70B/fffd0da2-d4b0-4a11-9fd4-c0dfa0c70431.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/nbeerbower/llama-3-gutenberg-8B/144ff584-3230-42e5-acae-35518b10a1e9.json b/data/hfopenllm_v2/meta/nbeerbower/llama-3-gutenberg-8B/144ff584-3230-42e5-acae-35518b10a1e9.json
deleted file mode 100644
index fea6e2ce8..000000000
--- a/data/hfopenllm_v2/meta/nbeerbower/llama-3-gutenberg-8B/144ff584-3230-42e5-acae-35518b10a1e9.json
+++ /dev/null
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diff --git a/data/hfopenllm_v2/meta/nbeerbower/llama3.1-cc-8B/e011ff58-ea5c-4857-a76d-503c4188886f.json b/data/hfopenllm_v2/meta/nbeerbower/llama3.1-cc-8B/e011ff58-ea5c-4857-a76d-503c4188886f.json
deleted file mode 100644
index 5b43e9251..000000000
--- a/data/hfopenllm_v2/meta/nbeerbower/llama3.1-cc-8B/e011ff58-ea5c-4857-a76d-503c4188886f.json
+++ /dev/null
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diff --git a/data/hfopenllm_v2/meta/nbeerbower/llama3.1-kartoffeldes-70B/c17cced5-be98-49c5-a919-c15b641ba2e7.json b/data/hfopenllm_v2/meta/nbeerbower/llama3.1-kartoffeldes-70B/c17cced5-be98-49c5-a919-c15b641ba2e7.json
deleted file mode 100644
index a9faa3a31..000000000
--- a/data/hfopenllm_v2/meta/nbeerbower/llama3.1-kartoffeldes-70B/c17cced5-be98-49c5-a919-c15b641ba2e7.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/meta/necva/IE-cont-Llama3.1-8B/43f5a551-7257-4595-9b0c-60799ade231b.json b/data/hfopenllm_v2/meta/necva/IE-cont-Llama3.1-8B/43f5a551-7257-4595-9b0c-60799ade231b.json
deleted file mode 100644
index 4b939255c..000000000
--- a/data/hfopenllm_v2/meta/necva/IE-cont-Llama3.1-8B/43f5a551-7257-4595-9b0c-60799ade231b.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/meta/netcat420/Llama3.1-MFANN-8b/aa3467df-1a74-47af-b635-0318df88dd58.json b/data/hfopenllm_v2/meta/netcat420/Llama3.1-MFANN-8b/aa3467df-1a74-47af-b635-0318df88dd58.json
deleted file mode 100644
index 86363821e..000000000
--- a/data/hfopenllm_v2/meta/netcat420/Llama3.1-MFANN-8b/aa3467df-1a74-47af-b635-0318df88dd58.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/netcat420/MFANN-Llama3.1-Abliterated-SLERP-TIES-V2/a9c38a44-a973-4bfd-a1f1-aa094d5e37fd.json b/data/hfopenllm_v2/meta/netcat420/MFANN-Llama3.1-Abliterated-SLERP-TIES-V2/a9c38a44-a973-4bfd-a1f1-aa094d5e37fd.json
deleted file mode 100644
index 5f81efae8..000000000
--- a/data/hfopenllm_v2/meta/netcat420/MFANN-Llama3.1-Abliterated-SLERP-TIES-V2/a9c38a44-a973-4bfd-a1f1-aa094d5e37fd.json
+++ /dev/null
@@ -1,105 +0,0 @@
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deleted file mode 100644
index f18ee6ebd..000000000
--- a/data/hfopenllm_v2/meta/netcat420/MFANN-Llama3.1-Abliterated-SLERP-TIES-V3/e5a71267-56c7-418a-bfcc-b4b5ed10496e.json
+++ /dev/null
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deleted file mode 100644
index 7890f9a39..000000000
--- a/data/hfopenllm_v2/meta/netcat420/MFANN-Llama3.1-Abliterated-SLERP-V4/12a56879-c48c-4422-bc6f-fad813c94414.json
+++ /dev/null
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diff --git a/data/hfopenllm_v2/meta/netcat420/MFANN-Llama3.1-Abliterated-SLERP-V5/d52d6e93-b291-4f21-aca7-2c8d48313dec.json b/data/hfopenllm_v2/meta/netcat420/MFANN-Llama3.1-Abliterated-SLERP-V5/d52d6e93-b291-4f21-aca7-2c8d48313dec.json
deleted file mode 100644
index 197e7220b..000000000
--- a/data/hfopenllm_v2/meta/netcat420/MFANN-Llama3.1-Abliterated-SLERP-V5/d52d6e93-b291-4f21-aca7-2c8d48313dec.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/meta/netcat420/MFANN-Llama3.1-Abliterated-Slerp-TIES/c5a71d25-35f7-453e-9551-7881046fdeff.json b/data/hfopenllm_v2/meta/netcat420/MFANN-Llama3.1-Abliterated-Slerp-TIES/c5a71d25-35f7-453e-9551-7881046fdeff.json
deleted file mode 100644
index 762207dd6..000000000
--- a/data/hfopenllm_v2/meta/netcat420/MFANN-Llama3.1-Abliterated-Slerp-TIES/c5a71d25-35f7-453e-9551-7881046fdeff.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/meta/netcat420/MFANN-Llama3.1-Abliterated-Slerp-V3.2/1ef7ee4e-ab54-4e5a-b27f-4d6aeffd3f54.json b/data/hfopenllm_v2/meta/netcat420/MFANN-Llama3.1-Abliterated-Slerp-V3.2/1ef7ee4e-ab54-4e5a-b27f-4d6aeffd3f54.json
deleted file mode 100644
index aabda84cd..000000000
--- a/data/hfopenllm_v2/meta/netcat420/MFANN-Llama3.1-Abliterated-Slerp-V3.2/1ef7ee4e-ab54-4e5a-b27f-4d6aeffd3f54.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/netcat420/MFANN-llama3.1-Abliterated-SLERP/3d3862a4-79df-488c-8d17-dc332fa3abce.json b/data/hfopenllm_v2/meta/netcat420/MFANN-llama3.1-Abliterated-SLERP/3d3862a4-79df-488c-8d17-dc332fa3abce.json
deleted file mode 100644
index df4dda140..000000000
--- a/data/hfopenllm_v2/meta/netcat420/MFANN-llama3.1-Abliterated-SLERP/3d3862a4-79df-488c-8d17-dc332fa3abce.json
+++ /dev/null
@@ -1,105 +0,0 @@
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deleted file mode 100644
index 1487ddf13..000000000
--- a/data/hfopenllm_v2/meta/netcat420/MFANN-llama3.1-abliterated-SLERP-v3.1/71e87ce8-88f2-4858-b65f-9225f59cc3f9.json
+++ /dev/null
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diff --git a/data/hfopenllm_v2/meta/netcat420/MFANN-llama3.1-abliterated-SLERP-v3/73f2659d-ff95-403f-99e0-09de7c807c3c.json b/data/hfopenllm_v2/meta/netcat420/MFANN-llama3.1-abliterated-SLERP-v3/73f2659d-ff95-403f-99e0-09de7c807c3c.json
deleted file mode 100644
index 11a63d6d8..000000000
--- a/data/hfopenllm_v2/meta/netcat420/MFANN-llama3.1-abliterated-SLERP-v3/73f2659d-ff95-403f-99e0-09de7c807c3c.json
+++ /dev/null
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diff --git a/data/hfopenllm_v2/meta/netcat420/MFANN-llama3.1-abliterated-v2/46728c83-957a-4eb7-8a04-0fee4efe50d1.json b/data/hfopenllm_v2/meta/netcat420/MFANN-llama3.1-abliterated-v2/46728c83-957a-4eb7-8a04-0fee4efe50d1.json
deleted file mode 100644
index ce2f62cac..000000000
--- a/data/hfopenllm_v2/meta/netcat420/MFANN-llama3.1-abliterated-v2/46728c83-957a-4eb7-8a04-0fee4efe50d1.json
+++ /dev/null
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deleted file mode 100644
index 70b297961..000000000
--- a/data/hfopenllm_v2/meta/ngxson/MiniThinky-1B-Llama-3.2/3a05547d-850b-42b5-978d-0aff574cb5ca.json
+++ /dev/null
@@ -1,105 +0,0 @@
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deleted file mode 100644
index d05586a36..000000000
--- a/data/hfopenllm_v2/meta/ngxson/MiniThinky-v2-1B-Llama-3.2/f37d1682-5df9-45dc-92ae-6bf587a03e9b.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/meta/noname0202/llama-math-1b-r16-0to512tokens-test/8fb0f696-49a8-4611-ad82-3b7e19d5d867.json b/data/hfopenllm_v2/meta/noname0202/llama-math-1b-r16-0to512tokens-test/8fb0f696-49a8-4611-ad82-3b7e19d5d867.json
deleted file mode 100644
index 849b3e9f2..000000000
--- a/data/hfopenllm_v2/meta/noname0202/llama-math-1b-r16-0to512tokens-test/8fb0f696-49a8-4611-ad82-3b7e19d5d867.json
+++ /dev/null
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deleted file mode 100644
index fbced9eac..000000000
--- a/data/hfopenllm_v2/meta/noname0202/llama-math-1b-r32-0to512tokens-test/5623295c-0170-4832-b3e9-df00c660c59b.json
+++ /dev/null
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diff --git a/data/hfopenllm_v2/meta/noname0202/llama-math-1b-r32-test/6c3ed9db-730c-48cb-95f9-662467957403.json b/data/hfopenllm_v2/meta/noname0202/llama-math-1b-r32-test/6c3ed9db-730c-48cb-95f9-662467957403.json
deleted file mode 100644
index e7d9539fe..000000000
--- a/data/hfopenllm_v2/meta/noname0202/llama-math-1b-r32-test/6c3ed9db-730c-48cb-95f9-662467957403.json
+++ /dev/null
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deleted file mode 100644
index 72f9055f8..000000000
--- a/data/hfopenllm_v2/meta/noname0202/llama-math-1b-r8-512tokens-test/c9d6f048-95b8-44ea-9d17-9d9f2d4854b4.json
+++ /dev/null
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deleted file mode 100644
index f6386e682..000000000
--- a/data/hfopenllm_v2/meta/nvidia/Llama-3.1-Minitron-4B-Depth-Base/98402d5d-95a6-4f48-9745-8653b298b48e.json
+++ /dev/null
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deleted file mode 100644
index 8fa37e047..000000000
--- a/data/hfopenllm_v2/meta/nvidia/OpenMath2-Llama3.1-8B/31c103fc-22ab-44a0-aeaf-769a9ff803df.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/meta/ontocord/Llama_3.2_1b-autoredteam_helpfulness-train/8277cf4f-865b-4b3e-afcb-b906064dfc20.json b/data/hfopenllm_v2/meta/ontocord/Llama_3.2_1b-autoredteam_helpfulness-train/8277cf4f-865b-4b3e-afcb-b906064dfc20.json
deleted file mode 100644
index 4e795be24..000000000
--- a/data/hfopenllm_v2/meta/ontocord/Llama_3.2_1b-autoredteam_helpfulness-train/8277cf4f-865b-4b3e-afcb-b906064dfc20.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/oopere/Llama-FinSent-S/8b9ec467-1555-415c-b1ee-23be18ded9e5.json b/data/hfopenllm_v2/meta/oopere/Llama-FinSent-S/8b9ec467-1555-415c-b1ee-23be18ded9e5.json
deleted file mode 100644
index 641cf3d73..000000000
--- a/data/hfopenllm_v2/meta/oopere/Llama-FinSent-S/8b9ec467-1555-415c-b1ee-23be18ded9e5.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/oopere/Llama-FinSent-S/f99bad90-e7b2-4205-9f51-93f96e90188c.json b/data/hfopenllm_v2/meta/oopere/Llama-FinSent-S/f99bad90-e7b2-4205-9f51-93f96e90188c.json
deleted file mode 100644
index 046a8d8fd..000000000
--- a/data/hfopenllm_v2/meta/oopere/Llama-FinSent-S/f99bad90-e7b2-4205-9f51-93f96e90188c.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/oopere/pruned10-llama-3.2-3B/2ff7d218-348b-4069-808f-6b32e7a77a5b.json b/data/hfopenllm_v2/meta/oopere/pruned10-llama-3.2-3B/2ff7d218-348b-4069-808f-6b32e7a77a5b.json
deleted file mode 100644
index b758104cd..000000000
--- a/data/hfopenllm_v2/meta/oopere/pruned10-llama-3.2-3B/2ff7d218-348b-4069-808f-6b32e7a77a5b.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/oopere/pruned20-llama-1b/c86ed5b4-8793-424a-a5a2-9a54689cb388.json b/data/hfopenllm_v2/meta/oopere/pruned20-llama-1b/c86ed5b4-8793-424a-a5a2-9a54689cb388.json
deleted file mode 100644
index eed76aad5..000000000
--- a/data/hfopenllm_v2/meta/oopere/pruned20-llama-1b/c86ed5b4-8793-424a-a5a2-9a54689cb388.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/meta/oopere/pruned20-llama-3.2-3b/e0e6bdbd-91c2-4d45-be73-03890ed13709.json b/data/hfopenllm_v2/meta/oopere/pruned20-llama-3.2-3b/e0e6bdbd-91c2-4d45-be73-03890ed13709.json
deleted file mode 100644
index 621252d2a..000000000
--- a/data/hfopenllm_v2/meta/oopere/pruned20-llama-3.2-3b/e0e6bdbd-91c2-4d45-be73-03890ed13709.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/meta/oopere/pruned40-llama-1b/0032ea65-98dc-48a9-90e7-835e389acecd.json b/data/hfopenllm_v2/meta/oopere/pruned40-llama-1b/0032ea65-98dc-48a9-90e7-835e389acecd.json
deleted file mode 100644
index d45c54bfd..000000000
--- a/data/hfopenllm_v2/meta/oopere/pruned40-llama-1b/0032ea65-98dc-48a9-90e7-835e389acecd.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/oopere/pruned40-llama-3.2-1B/bae27b4d-4046-45f1-b798-8356fa962df4.json b/data/hfopenllm_v2/meta/oopere/pruned40-llama-3.2-1B/bae27b4d-4046-45f1-b798-8356fa962df4.json
deleted file mode 100644
index 1ab99fb02..000000000
--- a/data/hfopenllm_v2/meta/oopere/pruned40-llama-3.2-1B/bae27b4d-4046-45f1-b798-8356fa962df4.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/oopere/pruned40-llama-3.2-3b/97c9b209-b2ed-439f-9b01-cad25e205fa9.json b/data/hfopenllm_v2/meta/oopere/pruned40-llama-3.2-3b/97c9b209-b2ed-439f-9b01-cad25e205fa9.json
deleted file mode 100644
index 7bb259366..000000000
--- a/data/hfopenllm_v2/meta/oopere/pruned40-llama-3.2-3b/97c9b209-b2ed-439f-9b01-cad25e205fa9.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/oopere/pruned60-llama-1b/4c0ac526-821a-49eb-9eee-152d594ed25b.json b/data/hfopenllm_v2/meta/oopere/pruned60-llama-1b/4c0ac526-821a-49eb-9eee-152d594ed25b.json
deleted file mode 100644
index 4c6d797a4..000000000
--- a/data/hfopenllm_v2/meta/oopere/pruned60-llama-1b/4c0ac526-821a-49eb-9eee-152d594ed25b.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/oopere/pruned60-llama-3.2-3b/219c6f49-3d48-4e1b-8105-fdf323b2fc3c.json b/data/hfopenllm_v2/meta/oopere/pruned60-llama-3.2-3b/219c6f49-3d48-4e1b-8105-fdf323b2fc3c.json
deleted file mode 100644
index 0fb0ebd48..000000000
--- a/data/hfopenllm_v2/meta/oopere/pruned60-llama-3.2-3b/219c6f49-3d48-4e1b-8105-fdf323b2fc3c.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/orai-nlp/Llama-eus-8B/0ed99007-3e31-4c48-abe5-0cd94b95dcf4.json b/data/hfopenllm_v2/meta/orai-nlp/Llama-eus-8B/0ed99007-3e31-4c48-abe5-0cd94b95dcf4.json
deleted file mode 100644
index c08b6adc5..000000000
--- a/data/hfopenllm_v2/meta/orai-nlp/Llama-eus-8B/0ed99007-3e31-4c48-abe5-0cd94b95dcf4.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/princeton-nlp/Llama-3-8B-ProLong-512k-Base/6c3d4b07-14c5-4218-862f-2aca386f5144.json b/data/hfopenllm_v2/meta/princeton-nlp/Llama-3-8B-ProLong-512k-Base/6c3d4b07-14c5-4218-862f-2aca386f5144.json
deleted file mode 100644
index 74d383881..000000000
--- a/data/hfopenllm_v2/meta/princeton-nlp/Llama-3-8B-ProLong-512k-Base/6c3d4b07-14c5-4218-862f-2aca386f5144.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/princeton-nlp/Llama-3-8B-ProLong-64k-Base/171a1779-0f17-4514-96ae-e4f9acea86b4.json b/data/hfopenllm_v2/meta/princeton-nlp/Llama-3-8B-ProLong-64k-Base/171a1779-0f17-4514-96ae-e4f9acea86b4.json
deleted file mode 100644
index 3226a2071..000000000
--- a/data/hfopenllm_v2/meta/princeton-nlp/Llama-3-8B-ProLong-64k-Base/171a1779-0f17-4514-96ae-e4f9acea86b4.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/meta/princeton-nlp/Sheared-LLaMA-1.3B/578905fb-a4a6-4dcd-9b09-ff5289568b91.json b/data/hfopenllm_v2/meta/princeton-nlp/Sheared-LLaMA-1.3B/578905fb-a4a6-4dcd-9b09-ff5289568b91.json
deleted file mode 100644
index e731cd192..000000000
--- a/data/hfopenllm_v2/meta/princeton-nlp/Sheared-LLaMA-1.3B/578905fb-a4a6-4dcd-9b09-ff5289568b91.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/princeton-nlp/Sheared-LLaMA-2.7B/3a0252c3-ced9-4cb4-94ef-d3800ac15ff9.json b/data/hfopenllm_v2/meta/princeton-nlp/Sheared-LLaMA-2.7B/3a0252c3-ced9-4cb4-94ef-d3800ac15ff9.json
deleted file mode 100644
index 9958d3a41..000000000
--- a/data/hfopenllm_v2/meta/princeton-nlp/Sheared-LLaMA-2.7B/3a0252c3-ced9-4cb4-94ef-d3800ac15ff9.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/prithivMLmods/Deepthink-Llama-3-8B-Preview/020f77a1-1051-4f85-8037-ed4f8b12474a.json b/data/hfopenllm_v2/meta/prithivMLmods/Deepthink-Llama-3-8B-Preview/020f77a1-1051-4f85-8037-ed4f8b12474a.json
deleted file mode 100644
index 664aad348..000000000
--- a/data/hfopenllm_v2/meta/prithivMLmods/Deepthink-Llama-3-8B-Preview/020f77a1-1051-4f85-8037-ed4f8b12474a.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/prithivMLmods/Llama-3.2-3B-Math-Oct/5ab1b41f-ee87-475c-b48b-e154c580d560.json b/data/hfopenllm_v2/meta/prithivMLmods/Llama-3.2-3B-Math-Oct/5ab1b41f-ee87-475c-b48b-e154c580d560.json
deleted file mode 100644
index 5ac91c424..000000000
--- a/data/hfopenllm_v2/meta/prithivMLmods/Llama-3.2-3B-Math-Oct/5ab1b41f-ee87-475c-b48b-e154c580d560.json
+++ /dev/null
@@ -1,105 +0,0 @@
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deleted file mode 100644
index 151a0b9ba..000000000
--- a/data/hfopenllm_v2/meta/prithivMLmods/Llama-3.2-6B-AlgoCode/914b588e-6da8-4a08-9313-ac7004fd8b97.json
+++ /dev/null
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diff --git a/data/hfopenllm_v2/meta/prithivMLmods/Llama-8B-Distill-CoT/6b1d1057-0091-4e44-822f-f7c1e5dc3ce9.json b/data/hfopenllm_v2/meta/prithivMLmods/Llama-8B-Distill-CoT/6b1d1057-0091-4e44-822f-f7c1e5dc3ce9.json
deleted file mode 100644
index 68cb090cc..000000000
--- a/data/hfopenllm_v2/meta/prithivMLmods/Llama-8B-Distill-CoT/6b1d1057-0091-4e44-822f-f7c1e5dc3ce9.json
+++ /dev/null
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deleted file mode 100644
index 345211620..000000000
--- a/data/hfopenllm_v2/meta/prithivMLmods/Llama-Deepsync-1B/5516c5d6-29c9-46dc-ae29-61876fb488c2.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/prithivMLmods/Llama-Deepsync-3B/fbdcf318-d1b5-4ed6-b13d-efb14dfaf09f.json b/data/hfopenllm_v2/meta/prithivMLmods/Llama-Deepsync-3B/fbdcf318-d1b5-4ed6-b13d-efb14dfaf09f.json
deleted file mode 100644
index 412eadf14..000000000
--- a/data/hfopenllm_v2/meta/prithivMLmods/Llama-Deepsync-3B/fbdcf318-d1b5-4ed6-b13d-efb14dfaf09f.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/meta/prithivMLmods/Llama-Express.1-Math/99fd40d7-8d26-4088-ba03-1c1d7ed11ca0.json b/data/hfopenllm_v2/meta/prithivMLmods/Llama-Express.1-Math/99fd40d7-8d26-4088-ba03-1c1d7ed11ca0.json
deleted file mode 100644
index 649d51870..000000000
--- a/data/hfopenllm_v2/meta/prithivMLmods/Llama-Express.1-Math/99fd40d7-8d26-4088-ba03-1c1d7ed11ca0.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/meta/pszemraj/Llama-3-6.3b-v0.1/74260e1f-8b2d-40ac-ac96-f268d65fa838.json b/data/hfopenllm_v2/meta/pszemraj/Llama-3-6.3b-v0.1/74260e1f-8b2d-40ac-ac96-f268d65fa838.json
deleted file mode 100644
index 6e279c242..000000000
--- a/data/hfopenllm_v2/meta/pszemraj/Llama-3-6.3b-v0.1/74260e1f-8b2d-40ac-ac96-f268d65fa838.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/qingy2019/LLaMa_3.2_3B_Catalysts/2fb27531-96ee-48d2-9416-43ef790d7196.json b/data/hfopenllm_v2/meta/qingy2019/LLaMa_3.2_3B_Catalysts/2fb27531-96ee-48d2-9416-43ef790d7196.json
deleted file mode 100644
index f5e09cb3b..000000000
--- a/data/hfopenllm_v2/meta/qingy2019/LLaMa_3.2_3B_Catalysts/2fb27531-96ee-48d2-9416-43ef790d7196.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/qingy2019/OpenMath2-Llama3.1-8B/75da6225-cc30-480c-b33e-359648932d9d.json b/data/hfopenllm_v2/meta/qingy2019/OpenMath2-Llama3.1-8B/75da6225-cc30-480c-b33e-359648932d9d.json
deleted file mode 100644
index 510e9a4fa..000000000
--- a/data/hfopenllm_v2/meta/qingy2019/OpenMath2-Llama3.1-8B/75da6225-cc30-480c-b33e-359648932d9d.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/refuelai/Llama-3-Refueled/2f104869-3a3b-4d25-987b-77dba089b817.json b/data/hfopenllm_v2/meta/refuelai/Llama-3-Refueled/2f104869-3a3b-4d25-987b-77dba089b817.json
deleted file mode 100644
index 4ad0b3250..000000000
--- a/data/hfopenllm_v2/meta/refuelai/Llama-3-Refueled/2f104869-3a3b-4d25-987b-77dba089b817.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/meta/riaz/FineLlama-3.1-8B/55eb0438-f0bd-4f9d-8bff-577d0245a57c.json b/data/hfopenllm_v2/meta/riaz/FineLlama-3.1-8B/55eb0438-f0bd-4f9d-8bff-577d0245a57c.json
deleted file mode 100644
index 4af7213a8..000000000
--- a/data/hfopenllm_v2/meta/riaz/FineLlama-3.1-8B/55eb0438-f0bd-4f9d-8bff-577d0245a57c.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/meta/riaz/FineLlama-3.1-8B/d5fb7571-bafd-424a-87f5-2d14ac7bd8d2.json b/data/hfopenllm_v2/meta/riaz/FineLlama-3.1-8B/d5fb7571-bafd-424a-87f5-2d14ac7bd8d2.json
deleted file mode 100644
index d3dfde243..000000000
--- a/data/hfopenllm_v2/meta/riaz/FineLlama-3.1-8B/d5fb7571-bafd-424a-87f5-2d14ac7bd8d2.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/meta/rombodawg/rombos_Replete-Coder-Llama3-8B/af3522f6-e26f-491f-8ccc-df064e5d3010.json b/data/hfopenllm_v2/meta/rombodawg/rombos_Replete-Coder-Llama3-8B/af3522f6-e26f-491f-8ccc-df064e5d3010.json
deleted file mode 100644
index ea4248329..000000000
--- a/data/hfopenllm_v2/meta/rombodawg/rombos_Replete-Coder-Llama3-8B/af3522f6-e26f-491f-8ccc-df064e5d3010.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/sabersaleh/Llama2-7B-CPO/2ecc5d1d-edb7-4713-9bde-f83ab4736690.json b/data/hfopenllm_v2/meta/sabersaleh/Llama2-7B-CPO/2ecc5d1d-edb7-4713-9bde-f83ab4736690.json
deleted file mode 100644
index 777c5686e..000000000
--- a/data/hfopenllm_v2/meta/sabersaleh/Llama2-7B-CPO/2ecc5d1d-edb7-4713-9bde-f83ab4736690.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/sabersaleh/Llama2-7B-IPO/14deb011-b6ce-47c7-b855-c7ebcc291121.json b/data/hfopenllm_v2/meta/sabersaleh/Llama2-7B-IPO/14deb011-b6ce-47c7-b855-c7ebcc291121.json
deleted file mode 100644
index e220f3596..000000000
--- a/data/hfopenllm_v2/meta/sabersaleh/Llama2-7B-IPO/14deb011-b6ce-47c7-b855-c7ebcc291121.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/sabersaleh/Llama2-7B-KTO/0744b5c6-e109-4ccb-acc9-955106ef5562.json b/data/hfopenllm_v2/meta/sabersaleh/Llama2-7B-KTO/0744b5c6-e109-4ccb-acc9-955106ef5562.json
deleted file mode 100644
index 8164d9eb5..000000000
--- a/data/hfopenllm_v2/meta/sabersaleh/Llama2-7B-KTO/0744b5c6-e109-4ccb-acc9-955106ef5562.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/sabersaleh/Llama2-7B-SPO/cfbdbc52-d846-48e7-bad4-f6240f1d2551.json b/data/hfopenllm_v2/meta/sabersaleh/Llama2-7B-SPO/cfbdbc52-d846-48e7-bad4-f6240f1d2551.json
deleted file mode 100644
index 871db4fa3..000000000
--- a/data/hfopenllm_v2/meta/sabersaleh/Llama2-7B-SPO/cfbdbc52-d846-48e7-bad4-f6240f1d2551.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/sabersaleh/Llama2-7B-SimPO/a530f116-e413-4d73-8d1f-2f44fcc0c6a9.json b/data/hfopenllm_v2/meta/sabersaleh/Llama2-7B-SimPO/a530f116-e413-4d73-8d1f-2f44fcc0c6a9.json
deleted file mode 100644
index ed3578723..000000000
--- a/data/hfopenllm_v2/meta/sabersaleh/Llama2-7B-SimPO/a530f116-e413-4d73-8d1f-2f44fcc0c6a9.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/sabersaleh/Llama3/286860d2-7f43-4488-9d43-9058fe59b248.json b/data/hfopenllm_v2/meta/sabersaleh/Llama3/286860d2-7f43-4488-9d43-9058fe59b248.json
deleted file mode 100644
index 9e463585a..000000000
--- a/data/hfopenllm_v2/meta/sabersaleh/Llama3/286860d2-7f43-4488-9d43-9058fe59b248.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/sabersalehk/Llama3-001-300/f73009ad-891e-41e7-a6bc-a271894f5511.json b/data/hfopenllm_v2/meta/sabersalehk/Llama3-001-300/f73009ad-891e-41e7-a6bc-a271894f5511.json
deleted file mode 100644
index 0dcbcd146..000000000
--- a/data/hfopenllm_v2/meta/sabersalehk/Llama3-001-300/f73009ad-891e-41e7-a6bc-a271894f5511.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-    "id": "sabersalehk/Llama3-001-300",
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diff --git a/data/hfopenllm_v2/meta/sabersalehk/Llama3-SimPO/b88f3d13-a8ed-4e23-86ec-1531c3151f0f.json b/data/hfopenllm_v2/meta/sabersalehk/Llama3-SimPO/b88f3d13-a8ed-4e23-86ec-1531c3151f0f.json
deleted file mode 100644
index 697ccd832..000000000
--- a/data/hfopenllm_v2/meta/sabersalehk/Llama3-SimPO/b88f3d13-a8ed-4e23-86ec-1531c3151f0f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-    "inference_platform": "unknown",
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diff --git a/data/hfopenllm_v2/meta/sabersalehk/Llama3_001_200/f673b2f9-8b77-42a3-9066-29f21a1ca0f8.json b/data/hfopenllm_v2/meta/sabersalehk/Llama3_001_200/f673b2f9-8b77-42a3-9066-29f21a1ca0f8.json
deleted file mode 100644
index c62a4de37..000000000
--- a/data/hfopenllm_v2/meta/sabersalehk/Llama3_001_200/f673b2f9-8b77-42a3-9066-29f21a1ca0f8.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/sabersalehk/Llama3_01_300/55ae7ee9-2c50-45d6-ac0e-7c07bbad9a00.json b/data/hfopenllm_v2/meta/sabersalehk/Llama3_01_300/55ae7ee9-2c50-45d6-ac0e-7c07bbad9a00.json
deleted file mode 100644
index c3466e327..000000000
--- a/data/hfopenllm_v2/meta/sabersalehk/Llama3_01_300/55ae7ee9-2c50-45d6-ac0e-7c07bbad9a00.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/sakhan10/quantized_open_llama_3b_v2/f96ce5a9-7cc2-4380-9285-09052b906411.json b/data/hfopenllm_v2/meta/sakhan10/quantized_open_llama_3b_v2/f96ce5a9-7cc2-4380-9285-09052b906411.json
deleted file mode 100644
index cfd0d244a..000000000
--- a/data/hfopenllm_v2/meta/sakhan10/quantized_open_llama_3b_v2/f96ce5a9-7cc2-4380-9285-09052b906411.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/sequelbox/Llama3.1-70B-PlumChat/ab796471-db79-40a2-8147-72ed7099b355.json b/data/hfopenllm_v2/meta/sequelbox/Llama3.1-70B-PlumChat/ab796471-db79-40a2-8147-72ed7099b355.json
deleted file mode 100644
index b3284d7c6..000000000
--- a/data/hfopenllm_v2/meta/sequelbox/Llama3.1-70B-PlumChat/ab796471-db79-40a2-8147-72ed7099b355.json
+++ /dev/null
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-{
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diff --git a/data/hfopenllm_v2/meta/sequelbox/Llama3.1-8B-MOTH/3a820ba4-bdd8-4caf-a90a-d7e9fee52997.json b/data/hfopenllm_v2/meta/sequelbox/Llama3.1-8B-MOTH/3a820ba4-bdd8-4caf-a90a-d7e9fee52997.json
deleted file mode 100644
index 9bc3144a4..000000000
--- a/data/hfopenllm_v2/meta/sequelbox/Llama3.1-8B-MOTH/3a820ba4-bdd8-4caf-a90a-d7e9fee52997.json
+++ /dev/null
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-{
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diff --git a/data/hfopenllm_v2/meta/sequelbox/Llama3.1-8B-PlumChat/32f38aeb-615c-4785-a674-bd8a50eb1057.json b/data/hfopenllm_v2/meta/sequelbox/Llama3.1-8B-PlumChat/32f38aeb-615c-4785-a674-bd8a50eb1057.json
deleted file mode 100644
index 8bb4b2d24..000000000
--- a/data/hfopenllm_v2/meta/sequelbox/Llama3.1-8B-PlumChat/32f38aeb-615c-4785-a674-bd8a50eb1057.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/sequelbox/Llama3.1-8B-PlumCode/2695c341-eabe-4809-9b87-9e771e1ee9d6.json b/data/hfopenllm_v2/meta/sequelbox/Llama3.1-8B-PlumCode/2695c341-eabe-4809-9b87-9e771e1ee9d6.json
deleted file mode 100644
index 3944564cb..000000000
--- a/data/hfopenllm_v2/meta/sequelbox/Llama3.1-8B-PlumCode/2695c341-eabe-4809-9b87-9e771e1ee9d6.json
+++ /dev/null
@@ -1,105 +0,0 @@
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deleted file mode 100644
index ecedb616a..000000000
--- a/data/hfopenllm_v2/meta/sequelbox/Llama3.1-8B-PlumMath/4734bf79-d464-43b4-8df3-1937f7c37796.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/meta/sethuiyer/LlamaZero-3.1-8B-Experimental-1208/abebe996-35e4-4fa6-a16c-0b33481d7357.json b/data/hfopenllm_v2/meta/sethuiyer/LlamaZero-3.1-8B-Experimental-1208/abebe996-35e4-4fa6-a16c-0b33481d7357.json
deleted file mode 100644
index 798d77234..000000000
--- a/data/hfopenllm_v2/meta/sethuiyer/LlamaZero-3.1-8B-Experimental-1208/abebe996-35e4-4fa6-a16c-0b33481d7357.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/meta/skumar9/Llama-medx_v2/1bfc4a7a-2ac8-4454-bbee-0db62608ce5a.json b/data/hfopenllm_v2/meta/skumar9/Llama-medx_v2/1bfc4a7a-2ac8-4454-bbee-0db62608ce5a.json
deleted file mode 100644
index ecffbcd36..000000000
--- a/data/hfopenllm_v2/meta/skumar9/Llama-medx_v2/1bfc4a7a-2ac8-4454-bbee-0db62608ce5a.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/suayptalha/DeepSeek-R1-Distill-Llama-3B/4146ffb5-ac76-43b7-acdc-8c181f2c60d2.json b/data/hfopenllm_v2/meta/suayptalha/DeepSeek-R1-Distill-Llama-3B/4146ffb5-ac76-43b7-acdc-8c181f2c60d2.json
deleted file mode 100644
index 198f53dda..000000000
--- a/data/hfopenllm_v2/meta/suayptalha/DeepSeek-R1-Distill-Llama-3B/4146ffb5-ac76-43b7-acdc-8c181f2c60d2.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/suayptalha/Komodo-Llama-3.2-3B-v2-fp16/d86e291c-cc26-475c-9ccd-e3ee68e8bee2.json b/data/hfopenllm_v2/meta/suayptalha/Komodo-Llama-3.2-3B-v2-fp16/d86e291c-cc26-475c-9ccd-e3ee68e8bee2.json
deleted file mode 100644
index ea1afb7bc..000000000
--- a/data/hfopenllm_v2/meta/suayptalha/Komodo-Llama-3.2-3B-v2-fp16/d86e291c-cc26-475c-9ccd-e3ee68e8bee2.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/sumink/flflmillama/19f198e5-37b8-4d62-8cbe-849f6875d39e.json b/data/hfopenllm_v2/meta/sumink/flflmillama/19f198e5-37b8-4d62-8cbe-849f6875d39e.json
deleted file mode 100644
index 0137c9bb9..000000000
--- a/data/hfopenllm_v2/meta/sumink/flflmillama/19f198e5-37b8-4d62-8cbe-849f6875d39e.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/sumink/llamaft/a13b4873-22c0-461a-b4ba-41246ede0dfa.json b/data/hfopenllm_v2/meta/sumink/llamaft/a13b4873-22c0-461a-b4ba-41246ede0dfa.json
deleted file mode 100644
index 102409d4b..000000000
--- a/data/hfopenllm_v2/meta/sumink/llamaft/a13b4873-22c0-461a-b4ba-41246ede0dfa.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/sumink/llamamerge/f7406d3e-dbfa-4f12-946e-f4e58c728fa8.json b/data/hfopenllm_v2/meta/sumink/llamamerge/f7406d3e-dbfa-4f12-946e-f4e58c728fa8.json
deleted file mode 100644
index 25046a696..000000000
--- a/data/hfopenllm_v2/meta/sumink/llamamerge/f7406d3e-dbfa-4f12-946e-f4e58c728fa8.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/tenyx/Llama3-TenyxChat-70B/6fc094c0-ca29-4594-b086-2dae90195e8d.json b/data/hfopenllm_v2/meta/tenyx/Llama3-TenyxChat-70B/6fc094c0-ca29-4594-b086-2dae90195e8d.json
deleted file mode 100644
index 9546aeaa7..000000000
--- a/data/hfopenllm_v2/meta/tenyx/Llama3-TenyxChat-70B/6fc094c0-ca29-4594-b086-2dae90195e8d.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/theprint/CleverBoi-Llama-3.1-8B-v2/42ea4b8d-98af-4c57-8b55-cef38c473fd5.json b/data/hfopenllm_v2/meta/theprint/CleverBoi-Llama-3.1-8B-v2/42ea4b8d-98af-4c57-8b55-cef38c473fd5.json
deleted file mode 100644
index b2bcbd589..000000000
--- a/data/hfopenllm_v2/meta/theprint/CleverBoi-Llama-3.1-8B-v2/42ea4b8d-98af-4c57-8b55-cef38c473fd5.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/theprint/Code-Llama-Bagel-8B/3a63b21d-0aaa-45d5-ae12-6d6c9777edbe.json b/data/hfopenllm_v2/meta/theprint/Code-Llama-Bagel-8B/3a63b21d-0aaa-45d5-ae12-6d6c9777edbe.json
deleted file mode 100644
index 2eafbf37b..000000000
--- a/data/hfopenllm_v2/meta/theprint/Code-Llama-Bagel-8B/3a63b21d-0aaa-45d5-ae12-6d6c9777edbe.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/theprint/Llama-3.2-3B-VanRossum/78e423de-2f66-4c53-8d07-8401802973ca.json b/data/hfopenllm_v2/meta/theprint/Llama-3.2-3B-VanRossum/78e423de-2f66-4c53-8d07-8401802973ca.json
deleted file mode 100644
index 2d47c7e49..000000000
--- a/data/hfopenllm_v2/meta/theprint/Llama-3.2-3B-VanRossum/78e423de-2f66-4c53-8d07-8401802973ca.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/theprint/ReWiz-Llama-3.1-8B-v2/e57e6483-7e4c-4a64-8c58-890aafb38f37.json b/data/hfopenllm_v2/meta/theprint/ReWiz-Llama-3.1-8B-v2/e57e6483-7e4c-4a64-8c58-890aafb38f37.json
deleted file mode 100644
index 5e11b8ff6..000000000
--- a/data/hfopenllm_v2/meta/theprint/ReWiz-Llama-3.1-8B-v2/e57e6483-7e4c-4a64-8c58-890aafb38f37.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/theprint/ReWiz-Llama-3.2-3B/17d4fced-6a93-4e5e-8349-25dae16596f8.json b/data/hfopenllm_v2/meta/theprint/ReWiz-Llama-3.2-3B/17d4fced-6a93-4e5e-8349-25dae16596f8.json
deleted file mode 100644
index ae687e85c..000000000
--- a/data/hfopenllm_v2/meta/theprint/ReWiz-Llama-3.2-3B/17d4fced-6a93-4e5e-8349-25dae16596f8.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/togethercomputer/LLaMA-2-7B-32K/29dae40d-4786-4fbc-92fa-3415b0c35488.json b/data/hfopenllm_v2/meta/togethercomputer/LLaMA-2-7B-32K/29dae40d-4786-4fbc-92fa-3415b0c35488.json
deleted file mode 100644
index 5d24e5fb1..000000000
--- a/data/hfopenllm_v2/meta/togethercomputer/LLaMA-2-7B-32K/29dae40d-4786-4fbc-92fa-3415b0c35488.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/trthminh1112/autotrain-llama32-1b-finetune/cad93026-baf2-47ef-a554-4d0ba0d5a946.json b/data/hfopenllm_v2/meta/trthminh1112/autotrain-llama32-1b-finetune/cad93026-baf2-47ef-a554-4d0ba0d5a946.json
deleted file mode 100644
index 7a6c831e9..000000000
--- a/data/hfopenllm_v2/meta/trthminh1112/autotrain-llama32-1b-finetune/cad93026-baf2-47ef-a554-4d0ba0d5a946.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/uukuguy/speechless-codellama-34b-v2.0/ddcf1dc2-5281-4d14-b870-7ed2fa44c8d0.json b/data/hfopenllm_v2/meta/uukuguy/speechless-codellama-34b-v2.0/ddcf1dc2-5281-4d14-b870-7ed2fa44c8d0.json
deleted file mode 100644
index 0caef79eb..000000000
--- a/data/hfopenllm_v2/meta/uukuguy/speechless-codellama-34b-v2.0/ddcf1dc2-5281-4d14-b870-7ed2fa44c8d0.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/meta/uukuguy/speechless-llama2-hermes-orca-platypus-wizardlm-13b/e9556ee4-63e8-4e0b-88df-62cc6c62c65a.json b/data/hfopenllm_v2/meta/uukuguy/speechless-llama2-hermes-orca-platypus-wizardlm-13b/e9556ee4-63e8-4e0b-88df-62cc6c62c65a.json
deleted file mode 100644
index 002324501..000000000
--- a/data/hfopenllm_v2/meta/uukuguy/speechless-llama2-hermes-orca-platypus-wizardlm-13b/e9556ee4-63e8-4e0b-88df-62cc6c62c65a.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/meta/vhab10/llama-3-8b-merged-linear/deed0e49-b9fd-4623-bb90-3e885bec9bb0.json b/data/hfopenllm_v2/meta/vhab10/llama-3-8b-merged-linear/deed0e49-b9fd-4623-bb90-3e885bec9bb0.json
deleted file mode 100644
index 9459da7bd..000000000
--- a/data/hfopenllm_v2/meta/vhab10/llama-3-8b-merged-linear/deed0e49-b9fd-4623-bb90-3e885bec9bb0.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/meta/vicgalle/Configurable-Hermes-2-Pro-Llama-3-8B/469379ff-5526-44f4-be9b-8bf6185b917e.json b/data/hfopenllm_v2/meta/vicgalle/Configurable-Hermes-2-Pro-Llama-3-8B/469379ff-5526-44f4-be9b-8bf6185b917e.json
deleted file mode 100644
index ce5a8746a..000000000
--- a/data/hfopenllm_v2/meta/vicgalle/Configurable-Hermes-2-Pro-Llama-3-8B/469379ff-5526-44f4-be9b-8bf6185b917e.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/vicgalle/Humanish-RP-Llama-3.1-8B/3b0e49aa-931b-4625-8e59-fed02b31372e.json b/data/hfopenllm_v2/meta/vicgalle/Humanish-RP-Llama-3.1-8B/3b0e49aa-931b-4625-8e59-fed02b31372e.json
deleted file mode 100644
index d990a0747..000000000
--- a/data/hfopenllm_v2/meta/vicgalle/Humanish-RP-Llama-3.1-8B/3b0e49aa-931b-4625-8e59-fed02b31372e.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/vicgalle/Roleplay-Llama-3-8B/89bafcc1-b175-45ec-b365-45938c1e8f33.json b/data/hfopenllm_v2/meta/vicgalle/Roleplay-Llama-3-8B/89bafcc1-b175-45ec-b365-45938c1e8f33.json
deleted file mode 100644
index 08aec6b15..000000000
--- a/data/hfopenllm_v2/meta/vicgalle/Roleplay-Llama-3-8B/89bafcc1-b175-45ec-b365-45938c1e8f33.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/viettelsecurity-ai/security-llama3.2-3b/2176e0d8-e0a5-4118-b15f-b272dc643d89.json b/data/hfopenllm_v2/meta/viettelsecurity-ai/security-llama3.2-3b/2176e0d8-e0a5-4118-b15f-b272dc643d89.json
deleted file mode 100644
index 0b5e20318..000000000
--- a/data/hfopenllm_v2/meta/viettelsecurity-ai/security-llama3.2-3b/2176e0d8-e0a5-4118-b15f-b272dc643d89.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/winglian/Llama-3-8b-64k-PoSE/76bbd348-21b9-4253-8085-d8c4eb0932f6.json b/data/hfopenllm_v2/meta/winglian/Llama-3-8b-64k-PoSE/76bbd348-21b9-4253-8085-d8c4eb0932f6.json
deleted file mode 100644
index 7865c2283..000000000
--- a/data/hfopenllm_v2/meta/winglian/Llama-3-8b-64k-PoSE/76bbd348-21b9-4253-8085-d8c4eb0932f6.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/winglian/llama-3-8b-256k-PoSE/5077856e-f85c-4395-8be9-e3e9bf3655cb.json b/data/hfopenllm_v2/meta/winglian/llama-3-8b-256k-PoSE/5077856e-f85c-4395-8be9-e3e9bf3655cb.json
deleted file mode 100644
index 0a2899f3e..000000000
--- a/data/hfopenllm_v2/meta/winglian/llama-3-8b-256k-PoSE/5077856e-f85c-4395-8be9-e3e9bf3655cb.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/meta/xinchen9/Llama3.1_8B_Instruct_CoT/eddb5bfc-d5ae-44bc-8ffd-b1d318b0e3d2.json b/data/hfopenllm_v2/meta/xinchen9/Llama3.1_8B_Instruct_CoT/eddb5bfc-d5ae-44bc-8ffd-b1d318b0e3d2.json
deleted file mode 100644
index b43ba5be7..000000000
--- a/data/hfopenllm_v2/meta/xinchen9/Llama3.1_8B_Instruct_CoT/eddb5bfc-d5ae-44bc-8ffd-b1d318b0e3d2.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-    "developer": "meta",
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diff --git a/data/hfopenllm_v2/meta/xinchen9/Llama3.1_CoT/4ccfc9fe-c222-490e-badd-bfeecc9ede91.json b/data/hfopenllm_v2/meta/xinchen9/Llama3.1_CoT/4ccfc9fe-c222-490e-badd-bfeecc9ede91.json
deleted file mode 100644
index 695e37903..000000000
--- a/data/hfopenllm_v2/meta/xinchen9/Llama3.1_CoT/4ccfc9fe-c222-490e-badd-bfeecc9ede91.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/xinchen9/Llama3.1_CoT_V1/501bff5b-2809-4af7-9600-d6471167b701.json b/data/hfopenllm_v2/meta/xinchen9/Llama3.1_CoT_V1/501bff5b-2809-4af7-9600-d6471167b701.json
deleted file mode 100644
index 86670a284..000000000
--- a/data/hfopenllm_v2/meta/xinchen9/Llama3.1_CoT_V1/501bff5b-2809-4af7-9600-d6471167b701.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/yuvraj17/Llama3-8B-SuperNova-Spectrum-dare_ties/2bde390d-b448-4ac2-addd-215d722aa66b.json b/data/hfopenllm_v2/meta/yuvraj17/Llama3-8B-SuperNova-Spectrum-dare_ties/2bde390d-b448-4ac2-addd-215d722aa66b.json
deleted file mode 100644
index 03b965f79..000000000
--- a/data/hfopenllm_v2/meta/yuvraj17/Llama3-8B-SuperNova-Spectrum-dare_ties/2bde390d-b448-4ac2-addd-215d722aa66b.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/meta/yuvraj17/Llama3-8B-abliterated-Spectrum-slerp/45cd6db1-064f-45d9-89f2-d931b4f82326.json b/data/hfopenllm_v2/meta/yuvraj17/Llama3-8B-abliterated-Spectrum-slerp/45cd6db1-064f-45d9-89f2-d931b4f82326.json
deleted file mode 100644
index d98fcb9aa..000000000
--- a/data/hfopenllm_v2/meta/yuvraj17/Llama3-8B-abliterated-Spectrum-slerp/45cd6db1-064f-45d9-89f2-d931b4f82326.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/mhl1/Qwen2.5-0.5B-cinstruct-stage1/cdabdd54-6101-471c-9bd8-446953be986b.json b/data/hfopenllm_v2/mhl1/Qwen2.5-0.5B-cinstruct-stage1/cdabdd54-6101-471c-9bd8-446953be986b.json
new file mode 100644
index 000000000..a4956c1b7
--- /dev/null
+++ b/data/hfopenllm_v2/mhl1/Qwen2.5-0.5B-cinstruct-stage1/cdabdd54-6101-471c-9bd8-446953be986b.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/mhl1_Qwen2.5-0.5B-cinstruct-stage1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-0.5B-cinstruct-stage1",
+    "id": "mhl1/Qwen2.5-0.5B-cinstruct-stage1",
+    "developer": "mhl1",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 0.63
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1482
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3256
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0128
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2651
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.35
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1139
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/microsoft/1024m/PHI-4-Hindi/29f2c6ef-0685-43f9-800b-4f10ddc3ddf7.json b/data/hfopenllm_v2/microsoft/1024m/PHI-4-Hindi/29f2c6ef-0685-43f9-800b-4f10ddc3ddf7.json
deleted file mode 100644
index 092daea7a..000000000
--- a/data/hfopenllm_v2/microsoft/1024m/PHI-4-Hindi/29f2c6ef-0685-43f9-800b-4f10ddc3ddf7.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/1024m_PHI-4-Hindi/1762652579.468371",
-  "retrieved_timestamp": "1762652579.4683719",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "1024m/PHI-4-Hindi",
-    "developer": "microsoft",
-    "inference_platform": "unknown",
-    "id": "1024m/PHI-4-Hindi",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 14.66
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-    }
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-}
diff --git a/data/hfopenllm_v2/microsoft/BlackBeenie/Neos-Phi-3-14B-v0.1/6d6aa9c5-cb3f-4c30-bd1a-ba951c9ad0e8.json b/data/hfopenllm_v2/microsoft/BlackBeenie/Neos-Phi-3-14B-v0.1/6d6aa9c5-cb3f-4c30-bd1a-ba951c9ad0e8.json
deleted file mode 100644
index 2e0eafd96..000000000
--- a/data/hfopenllm_v2/microsoft/BlackBeenie/Neos-Phi-3-14B-v0.1/6d6aa9c5-cb3f-4c30-bd1a-ba951c9ad0e8.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/BlackBeenie_Neos-Phi-3-14B-v0.1/1762652579.4966102",
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-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
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-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "BlackBeenie/Neos-Phi-3-14B-v0.1",
-    "developer": "microsoft",
-    "inference_platform": "unknown",
-    "id": "BlackBeenie/Neos-Phi-3-14B-v0.1",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Phi3ForCausalLM",
-      "params_billions": 13.96
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-      "evaluation_name": "BBH",
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-        "min_score": 0,
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-      },
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-    {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    {
-      "evaluation_name": "MMLU-PRO",
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-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-}
diff --git a/data/hfopenllm_v2/microsoft/Daemontatox/Phi-4-COT/4ab23cde-aadb-424d-a88e-e7029a2f5c57.json b/data/hfopenllm_v2/microsoft/Daemontatox/Phi-4-COT/4ab23cde-aadb-424d-a88e-e7029a2f5c57.json
deleted file mode 100644
index 8f5ee78f8..000000000
--- a/data/hfopenllm_v2/microsoft/Daemontatox/Phi-4-COT/4ab23cde-aadb-424d-a88e-e7029a2f5c57.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Daemontatox_Phi-4-COT/1762652579.5296152",
-  "retrieved_timestamp": "1762652579.5296159",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Daemontatox/Phi-4-COT",
-    "developer": "microsoft",
-    "inference_platform": "unknown",
-    "id": "Daemontatox/Phi-4-COT",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 14.66
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
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-        "lower_is_better": false,
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-        "min_score": 0,
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-    {
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
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-        "score_type": "continuous",
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/microsoft/Daemontatox/SphinX/118ee97a-cc78-4b4d-99c4-58d37b4a48ba.json b/data/hfopenllm_v2/microsoft/Daemontatox/SphinX/118ee97a-cc78-4b4d-99c4-58d37b4a48ba.json
deleted file mode 100644
index fd1e43a6a..000000000
--- a/data/hfopenllm_v2/microsoft/Daemontatox/SphinX/118ee97a-cc78-4b4d-99c4-58d37b4a48ba.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Daemontatox_SphinX/1762652579.531104",
-  "retrieved_timestamp": "1762652579.531104",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Daemontatox/SphinX",
-    "developer": "microsoft",
-    "inference_platform": "unknown",
-    "id": "Daemontatox/SphinX",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.616
-    }
-  },
-  "evaluation_results": [
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-      },
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-      "evaluation_name": "MMLU-PRO",
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-        "max_score": 1
-      },
-      "score_details": {
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/microsoft/Daemontatox/Sphinx2.0/07d85f99-840b-403a-bace-99712f3469b7.json b/data/hfopenllm_v2/microsoft/Daemontatox/Sphinx2.0/07d85f99-840b-403a-bace-99712f3469b7.json
deleted file mode 100644
index 11f05ec51..000000000
--- a/data/hfopenllm_v2/microsoft/Daemontatox/Sphinx2.0/07d85f99-840b-403a-bace-99712f3469b7.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Daemontatox_Sphinx2.0/1762652579.531323",
-  "retrieved_timestamp": "1762652579.531324",
-  "source_data": [
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-    "developer": "microsoft",
-    "inference_platform": "unknown",
-    "id": "Daemontatox/Sphinx2.0",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 14.77
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-    {
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-    {
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-      "metric_config": {
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-        "score_type": "continuous",
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-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
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-        "max_score": 1
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-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
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-        "max_score": 1
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-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-}
diff --git a/data/hfopenllm_v2/microsoft/Daemontatox/TinySphinx/6d501ffa-e205-4522-9af5-7036463a5b05.json b/data/hfopenllm_v2/microsoft/Daemontatox/TinySphinx/6d501ffa-e205-4522-9af5-7036463a5b05.json
deleted file mode 100644
index 3708c1f29..000000000
--- a/data/hfopenllm_v2/microsoft/Daemontatox/TinySphinx/6d501ffa-e205-4522-9af5-7036463a5b05.json
+++ /dev/null
@@ -1,105 +0,0 @@
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deleted file mode 100644
index bbe06be02..000000000
--- a/data/hfopenllm_v2/microsoft/Daemontatox/TinySphinx2.0/da5d131c-5ae9-462e-87b1-92ead75eddb9.json
+++ /dev/null
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diff --git a/data/hfopenllm_v2/microsoft/Danielbrdz/Barcenas-14b-Phi-3-medium-ORPO/f9ce1ec0-e727-474b-acb7-1ba49311e355.json b/data/hfopenllm_v2/microsoft/Danielbrdz/Barcenas-14b-Phi-3-medium-ORPO/f9ce1ec0-e727-474b-acb7-1ba49311e355.json
deleted file mode 100644
index 54639bff6..000000000
--- a/data/hfopenllm_v2/microsoft/Danielbrdz/Barcenas-14b-Phi-3-medium-ORPO/f9ce1ec0-e727-474b-acb7-1ba49311e355.json
+++ /dev/null
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deleted file mode 100644
index cb8e73c8b..000000000
--- a/data/hfopenllm_v2/microsoft/Danielbrdz/Barcenas-14b-phi-4-v2/4180c069-33e8-4109-9d35-dde82549ba26.json
+++ /dev/null
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diff --git a/data/hfopenllm_v2/microsoft/Danielbrdz/Barcenas-14b-phi-4/720029f0-41d5-4161-878e-4218f230455c.json b/data/hfopenllm_v2/microsoft/Danielbrdz/Barcenas-14b-phi-4/720029f0-41d5-4161-878e-4218f230455c.json
deleted file mode 100644
index ecf60ac5d..000000000
--- a/data/hfopenllm_v2/microsoft/Danielbrdz/Barcenas-14b-phi-4/720029f0-41d5-4161-878e-4218f230455c.json
+++ /dev/null
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diff --git a/data/hfopenllm_v2/microsoft/DialoGPT-medium/8029cb75-8d3b-411d-b0eb-74539b8ecb2f.json b/data/hfopenllm_v2/microsoft/DialoGPT-medium/8029cb75-8d3b-411d-b0eb-74539b8ecb2f.json
new file mode 100644
index 000000000..93673afea
--- /dev/null
+++ b/data/hfopenllm_v2/microsoft/DialoGPT-medium/8029cb75-8d3b-411d-b0eb-74539b8ecb2f.json
@@ -0,0 +1,132 @@
+{
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
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+    }
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/microsoft/DreadPoor/Morphing-8B-Model_Stock/0fd25475-5202-4cd1-b399-bfb8e113d85b.json b/data/hfopenllm_v2/microsoft/DreadPoor/Morphing-8B-Model_Stock/0fd25475-5202-4cd1-b399-bfb8e113d85b.json
deleted file mode 100644
index 2ab6b9b03..000000000
--- a/data/hfopenllm_v2/microsoft/DreadPoor/Morphing-8B-Model_Stock/0fd25475-5202-4cd1-b399-bfb8e113d85b.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/microsoft/EpistemeAI/DeepThinkers-Phi4/3c97155d-c086-42aa-af12-14316fcf723c.json b/data/hfopenllm_v2/microsoft/EpistemeAI/DeepThinkers-Phi4/3c97155d-c086-42aa-af12-14316fcf723c.json
deleted file mode 100644
index 08c6c83cf..000000000
--- a/data/hfopenllm_v2/microsoft/EpistemeAI/DeepThinkers-Phi4/3c97155d-c086-42aa-af12-14316fcf723c.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/microsoft/EpistemeAI/Fireball-12B-v1.13a-philosophers/38fae832-3d96-457d-851b-7fcded3f7796.json b/data/hfopenllm_v2/microsoft/EpistemeAI/Fireball-12B-v1.13a-philosophers/38fae832-3d96-457d-851b-7fcded3f7796.json
deleted file mode 100644
index bcbae6d76..000000000
--- a/data/hfopenllm_v2/microsoft/EpistemeAI/Fireball-12B-v1.13a-philosophers/38fae832-3d96-457d-851b-7fcded3f7796.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/microsoft/EpistemeAI2/Fireball-Phi-3-medium-4k-inst-Philos/a60477a1-b815-4c82-a9e9-f017cb7b5ec9.json b/data/hfopenllm_v2/microsoft/EpistemeAI2/Fireball-Phi-3-medium-4k-inst-Philos/a60477a1-b815-4c82-a9e9-f017cb7b5ec9.json
deleted file mode 100644
index a7ac94bec..000000000
--- a/data/hfopenllm_v2/microsoft/EpistemeAI2/Fireball-Phi-3-medium-4k-inst-Philos/a60477a1-b815-4c82-a9e9-f017cb7b5ec9.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/microsoft/FINGU-AI/Phi-4-RRStock/9d85345f-d46b-4431-b5fb-5cca99d92f21.json b/data/hfopenllm_v2/microsoft/FINGU-AI/Phi-4-RRStock/9d85345f-d46b-4431-b5fb-5cca99d92f21.json
deleted file mode 100644
index f571f967f..000000000
--- a/data/hfopenllm_v2/microsoft/FINGU-AI/Phi-4-RRStock/9d85345f-d46b-4431-b5fb-5cca99d92f21.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/microsoft/HeraiHench/Phi-4-slerp-ReasoningRP-14B/ca0a3f22-099f-4207-acfe-4b70aa00171e.json b/data/hfopenllm_v2/microsoft/HeraiHench/Phi-4-slerp-ReasoningRP-14B/ca0a3f22-099f-4207-acfe-4b70aa00171e.json
deleted file mode 100644
index ddca9897b..000000000
--- a/data/hfopenllm_v2/microsoft/HeraiHench/Phi-4-slerp-ReasoningRP-14B/ca0a3f22-099f-4207-acfe-4b70aa00171e.json
+++ /dev/null
@@ -1,105 +0,0 @@
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deleted file mode 100644
index dbf77a74a..000000000
--- a/data/hfopenllm_v2/microsoft/Josephgflowers/Cinder-Phi-2-V1-F16-gguf/4d0a565c-14b2-4ce9-97c0-4d114548fe48.json
+++ /dev/null
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deleted file mode 100644
index 3e791bae4..000000000
--- a/data/hfopenllm_v2/microsoft/MaziyarPanahi/calme-2.1-phi3-4b/79b4a850-85b6-45aa-8cc1-5210230a38aa.json
+++ /dev/null
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deleted file mode 100644
index 052dd78e9..000000000
--- a/data/hfopenllm_v2/microsoft/MaziyarPanahi/calme-2.1-phi3.5-4b/69433e39-158a-46df-a987-ac2a6b3af2af.json
+++ /dev/null
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deleted file mode 100644
index 0da756263..000000000
--- a/data/hfopenllm_v2/microsoft/MaziyarPanahi/calme-2.2-phi3-4b/56593987-babd-4a30-9a20-f83e7d233809.json
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deleted file mode 100644
index e2ae00a80..000000000
--- a/data/hfopenllm_v2/microsoft/MaziyarPanahi/calme-2.3-phi3-4b/99b96f53-5ac6-4001-abc6-2a4e43f09028.json
+++ /dev/null
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diff --git a/data/hfopenllm_v2/microsoft/NikolaSigmoid/phi-4-14b/cae2d4a1-4632-420f-be40-594f4c001d4d.json b/data/hfopenllm_v2/microsoft/NikolaSigmoid/phi-4-14b/cae2d4a1-4632-420f-be40-594f4c001d4d.json
deleted file mode 100644
index e35d463c0..000000000
--- a/data/hfopenllm_v2/microsoft/NikolaSigmoid/phi-4-14b/cae2d4a1-4632-420f-be40-594f4c001d4d.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/microsoft/NikolaSigmoid/phi-4-1steps/a4763c48-f2ab-4f3e-bc1f-a7f4a9f33cf8.json b/data/hfopenllm_v2/microsoft/NikolaSigmoid/phi-4-1steps/a4763c48-f2ab-4f3e-bc1f-a7f4a9f33cf8.json
deleted file mode 100644
index 615f5cc9b..000000000
--- a/data/hfopenllm_v2/microsoft/NikolaSigmoid/phi-4-1steps/a4763c48-f2ab-4f3e-bc1f-a7f4a9f33cf8.json
+++ /dev/null
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deleted file mode 100644
index c767c4640..000000000
--- a/data/hfopenllm_v2/microsoft/NikolaSigmoid/phi-4-300steps/e54de9df-52e5-43d2-92c3-9d5207c0e335.json
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deleted file mode 100644
index b78f459f6..000000000
--- a/data/hfopenllm_v2/microsoft/Novaciano/Fusetrix-Dolphin-3.2-1B-GRPO_Creative_RP/582f87ef-50c5-4a5b-9d76-bc71f97bd2fb.json
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diff --git a/data/hfopenllm_v2/microsoft/NyxKrage/Microsoft_Phi-4/46494bad-fb41-4fa3-b568-be4e6a22ae5b.json b/data/hfopenllm_v2/microsoft/NyxKrage/Microsoft_Phi-4/46494bad-fb41-4fa3-b568-be4e6a22ae5b.json
deleted file mode 100644
index 44e9b9486..000000000
--- a/data/hfopenllm_v2/microsoft/NyxKrage/Microsoft_Phi-4/46494bad-fb41-4fa3-b568-be4e6a22ae5b.json
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deleted file mode 100644
index fcb4f32a4..000000000
--- a/data/hfopenllm_v2/microsoft/Orca-2-13b/4f9c7197-1eb6-45eb-851e-46707017fe7f.json
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diff --git a/data/hfopenllm_v2/microsoft/Orca-2-13b/65d10996-2c5b-4e11-9a07-319c2446a237.json b/data/hfopenllm_v2/microsoft/Orca-2-13b/65d10996-2c5b-4e11-9a07-319c2446a237.json
new file mode 100644
index 000000000..346756a08
--- /dev/null
+++ b/data/hfopenllm_v2/microsoft/Orca-2-13b/65d10996-2c5b-4e11-9a07-319c2446a237.json
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+      "params_billions": 13.0
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3128
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4884
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0317
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2802
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.513
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2749
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/microsoft/Orca-2-7b/c13a5d55-44f7-43fc-a633-9af7677a26fb.json b/data/hfopenllm_v2/microsoft/Orca-2-7b/c13a5d55-44f7-43fc-a633-9af7677a26fb.json
deleted file mode 100644
index 065cc9ed1..000000000
--- a/data/hfopenllm_v2/microsoft/Orca-2-7b/c13a5d55-44f7-43fc-a633-9af7677a26fb.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/microsoft_Orca-2-7b/1762652580.354311",
-  "retrieved_timestamp": "1762652580.354312",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "microsoft/Orca-2-7b",
-    "developer": "microsoft",
-    "inference_platform": "unknown",
-    "id": "microsoft/Orca-2-7b",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 7.0
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2183462102776189
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2609060402684564
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5026145833333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.23188164893617022
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/microsoft/Orca-2-7b/ef21d739-b122-4ab8-a8ff-a7cfecad5c8e.json b/data/hfopenllm_v2/microsoft/Orca-2-7b/ef21d739-b122-4ab8-a8ff-a7cfecad5c8e.json
new file mode 100644
index 000000000..b1da27202
--- /dev/null
+++ b/data/hfopenllm_v2/microsoft/Orca-2-7b/ef21d739-b122-4ab8-a8ff-a7cfecad5c8e.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/microsoft_Orca-2-7b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Orca-2-7b",
+    "id": "microsoft/Orca-2-7b",
+    "developer": "microsoft",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 7.0
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2183
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4452
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0196
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2609
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5026
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2319
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/microsoft/Orion-zhen/phi-4-abliterated/3970f988-26f6-4810-839a-e5f4fcd6618a.json b/data/hfopenllm_v2/microsoft/Orion-zhen/phi-4-abliterated/3970f988-26f6-4810-839a-e5f4fcd6618a.json
deleted file mode 100644
index 97056e47c..000000000
--- a/data/hfopenllm_v2/microsoft/Orion-zhen/phi-4-abliterated/3970f988-26f6-4810-839a-e5f4fcd6618a.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Orion-zhen_phi-4-abliterated/1762652579.808864",
-  "retrieved_timestamp": "1762652579.808865",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Orion-zhen/phi-4-abliterated",
-    "developer": "microsoft",
-    "inference_platform": "unknown",
-    "id": "Orion-zhen/phi-4-abliterated",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Phi3ForCausalLM",
-      "params_billions": 14.66
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.05760271634817839
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6698239306664778
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3021148036253776
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.40436241610738255
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.500625
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5291722074468085
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/microsoft/Phi-3-medium-128k-instruct/0c2670d3-1fb5-4825-860f-dc84dbd7bb99.json b/data/hfopenllm_v2/microsoft/Phi-3-medium-128k-instruct/0c2670d3-1fb5-4825-860f-dc84dbd7bb99.json
deleted file mode 100644
index 93cb2a8e4..000000000
--- a/data/hfopenllm_v2/microsoft/Phi-3-medium-128k-instruct/0c2670d3-1fb5-4825-860f-dc84dbd7bb99.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/microsoft_Phi-3-medium-128k-instruct/1762652580.354526",
-  "retrieved_timestamp": "1762652580.354527",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "microsoft/Phi-3-medium-128k-instruct",
-    "developer": "microsoft",
-    "inference_platform": "unknown",
-    "id": "microsoft/Phi-3-medium-128k-instruct",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Phi3ForCausalLM",
-      "params_billions": 13.96
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6040029344361849
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6382322530870549
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
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-        "score_type": "continuous",
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
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-      "score_details": {
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-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
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-        "score_type": "continuous",
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-        "max_score": 1
-      },
-      "score_details": {
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-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.47116023936170215
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-  ]
-}
diff --git a/data/hfopenllm_v2/microsoft/Phi-3-medium-128k-instruct/45f3b963-497b-4d89-ac66-9ff0ba8dadf8.json b/data/hfopenllm_v2/microsoft/Phi-3-medium-128k-instruct/45f3b963-497b-4d89-ac66-9ff0ba8dadf8.json
new file mode 100644
index 000000000..a60530782
--- /dev/null
+++ b/data/hfopenllm_v2/microsoft/Phi-3-medium-128k-instruct/45f3b963-497b-4d89-ac66-9ff0ba8dadf8.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/microsoft_Phi-3-medium-128k-instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Phi-3-medium-128k-instruct",
+    "id": "microsoft/Phi-3-medium-128k-instruct",
+    "developer": "microsoft",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Phi3ForCausalLM",
+      "params_billions": 13.96
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.604
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6382
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1918
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3364
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4129
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4712
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/microsoft/Phi-3-medium-4k-instruct/1b921ad2-9ed3-46d5-ab65-f125ce97b35f.json b/data/hfopenllm_v2/microsoft/Phi-3-medium-4k-instruct/1b921ad2-9ed3-46d5-ab65-f125ce97b35f.json
deleted file mode 100644
index 0798ff4a4..000000000
--- a/data/hfopenllm_v2/microsoft/Phi-3-medium-4k-instruct/1b921ad2-9ed3-46d5-ab65-f125ce97b35f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/microsoft_Phi-3-medium-4k-instruct/1762652580.354986",
-  "retrieved_timestamp": "1762652580.35499",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "microsoft/Phi-3-medium-4k-instruct",
-    "developer": "microsoft",
-    "inference_platform": "unknown",
-    "id": "microsoft/Phi-3-medium-4k-instruct",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Phi3ForCausalLM",
-      "params_billions": 13.96
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6422713954529538
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6412464890555547
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.19561933534743203
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.33640939597315433
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42575
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4675864361702128
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/microsoft/Phi-3-medium-4k-instruct/4173435b-d907-4ac5-a8bd-dfa2759f3fb6.json b/data/hfopenllm_v2/microsoft/Phi-3-medium-4k-instruct/4173435b-d907-4ac5-a8bd-dfa2759f3fb6.json
new file mode 100644
index 000000000..5255ec1d7
--- /dev/null
+++ b/data/hfopenllm_v2/microsoft/Phi-3-medium-4k-instruct/4173435b-d907-4ac5-a8bd-dfa2759f3fb6.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/microsoft_Phi-3-medium-4k-instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Phi-3-medium-4k-instruct",
+    "id": "microsoft/Phi-3-medium-4k-instruct",
+    "developer": "microsoft",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Phi3ForCausalLM",
+      "params_billions": 13.96
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6423
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6412
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1956
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3364
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4258
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4676
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/microsoft/Phi-3-mini-128k-instruct/0bcfeb34-8944-4f16-83d8-6fe851c39af6.json b/data/hfopenllm_v2/microsoft/Phi-3-mini-128k-instruct/0bcfeb34-8944-4f16-83d8-6fe851c39af6.json
deleted file mode 100644
index a78d10c45..000000000
--- a/data/hfopenllm_v2/microsoft/Phi-3-mini-128k-instruct/0bcfeb34-8944-4f16-83d8-6fe851c39af6.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/microsoft_Phi-3-mini-128k-instruct/1762652580.355347",
-  "retrieved_timestamp": "1762652580.3553479",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "microsoft/Phi-3-mini-128k-instruct",
-    "developer": "microsoft",
-    "inference_platform": "unknown",
-    "id": "microsoft/Phi-3-mini-128k-instruct",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Phi3ForCausalLM",
-      "params_billions": 3.821
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5976331688807919
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5574531792679852
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1404833836858006
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3179530201342282
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3936875
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3734208776595745
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/microsoft/Phi-3-mini-128k-instruct/b4a79f30-3a04-4f78-861e-1571316a0642.json b/data/hfopenllm_v2/microsoft/Phi-3-mini-128k-instruct/b4a79f30-3a04-4f78-861e-1571316a0642.json
new file mode 100644
index 000000000..9e63038b5
--- /dev/null
+++ b/data/hfopenllm_v2/microsoft/Phi-3-mini-128k-instruct/b4a79f30-3a04-4f78-861e-1571316a0642.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/microsoft_Phi-3-mini-128k-instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Phi-3-mini-128k-instruct",
+    "id": "microsoft/Phi-3-mini-128k-instruct",
+    "developer": "microsoft",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Phi3ForCausalLM",
+      "params_billions": 3.821
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5976
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5575
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1405
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.318
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3937
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3734
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/microsoft/Phi-3-mini-4k-instruct/0c861cdd-1ddb-43a1-991b-300887e1da1b.json b/data/hfopenllm_v2/microsoft/Phi-3-mini-4k-instruct/0c861cdd-1ddb-43a1-991b-300887e1da1b.json
deleted file mode 100644
index 4dba1fc09..000000000
--- a/data/hfopenllm_v2/microsoft/Phi-3-mini-4k-instruct/0c861cdd-1ddb-43a1-991b-300887e1da1b.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/microsoft_Phi-3-mini-4k-instruct/1762652580.355623",
-  "retrieved_timestamp": "1762652580.355624",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "microsoft/Phi-3-mini-4k-instruct",
-    "developer": "microsoft",
-    "inference_platform": "unknown",
-    "id": "microsoft/Phi-3-mini-4k-instruct",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Phi3ForCausalLM",
-      "params_billions": 3.821
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5612884923115112
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5675972626334875
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1163141993957704
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3196308724832215
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3950208333333333
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.38663563829787234
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/microsoft/Phi-3-mini-4k-instruct/53426038-df38-45ba-b621-34231c9cad7f.json b/data/hfopenllm_v2/microsoft/Phi-3-mini-4k-instruct/53426038-df38-45ba-b621-34231c9cad7f.json
new file mode 100644
index 000000000..bbd15d9d0
--- /dev/null
+++ b/data/hfopenllm_v2/microsoft/Phi-3-mini-4k-instruct/53426038-df38-45ba-b621-34231c9cad7f.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/microsoft_Phi-3-mini-4k-instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Phi-3-mini-4k-instruct",
+    "id": "microsoft/Phi-3-mini-4k-instruct",
+    "developer": "microsoft",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Phi3ForCausalLM",
+      "params_billions": 3.821
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5477
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5491
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1639
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3322
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4284
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4022
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/microsoft/Phi-3-mini-4k-instruct/97e50198-ba06-4c17-81d3-59270b71a89d.json b/data/hfopenllm_v2/microsoft/Phi-3-mini-4k-instruct/97e50198-ba06-4c17-81d3-59270b71a89d.json
deleted file mode 100644
index 5f018008a..000000000
--- a/data/hfopenllm_v2/microsoft/Phi-3-mini-4k-instruct/97e50198-ba06-4c17-81d3-59270b71a89d.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/microsoft_Phi-3-mini-4k-instruct/1762652580.355825",
-  "retrieved_timestamp": "1762652580.355826",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "microsoft/Phi-3-mini-4k-instruct",
-    "developer": "microsoft",
-    "inference_platform": "unknown",
-    "id": "microsoft/Phi-3-mini-4k-instruct",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Phi3ForCausalLM",
-      "params_billions": 3.821
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.547674614467391
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5490718919495822
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.16389728096676737
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.33221476510067116
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42841666666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4021775265957447
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/microsoft/Phi-3-mini-4k-instruct/fa758fe5-21ec-45cc-941f-5cb5ca0612b1.json b/data/hfopenllm_v2/microsoft/Phi-3-mini-4k-instruct/fa758fe5-21ec-45cc-941f-5cb5ca0612b1.json
new file mode 100644
index 000000000..14dce77a3
--- /dev/null
+++ b/data/hfopenllm_v2/microsoft/Phi-3-mini-4k-instruct/fa758fe5-21ec-45cc-941f-5cb5ca0612b1.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/microsoft_Phi-3-mini-4k-instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Phi-3-mini-4k-instruct",
+    "id": "microsoft/Phi-3-mini-4k-instruct",
+    "developer": "microsoft",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Phi3ForCausalLM",
+      "params_billions": 3.821
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5613
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5676
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1163
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3196
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.395
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3866
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/microsoft/Phi-3-small-128k-instruct/d2a92a62-3bd0-4cb2-897b-742ea0d5203f.json b/data/hfopenllm_v2/microsoft/Phi-3-small-128k-instruct/d2a92a62-3bd0-4cb2-897b-742ea0d5203f.json
new file mode 100644
index 000000000..4fa6eea19
--- /dev/null
+++ b/data/hfopenllm_v2/microsoft/Phi-3-small-128k-instruct/d2a92a62-3bd0-4cb2-897b-742ea0d5203f.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/microsoft_Phi-3-small-128k-instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Phi-3-small-128k-instruct",
+    "id": "microsoft/Phi-3-small-128k-instruct",
+    "developer": "microsoft",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Phi3SmallForCausalLM",
+      "params_billions": 7.392
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6368
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6202
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2026
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3171
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4378
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4491
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/microsoft/Phi-3-small-128k-instruct/f7c1a443-006b-4ade-9b0f-895392e52b7c.json b/data/hfopenllm_v2/microsoft/Phi-3-small-128k-instruct/f7c1a443-006b-4ade-9b0f-895392e52b7c.json
deleted file mode 100644
index 5efb4d517..000000000
--- a/data/hfopenllm_v2/microsoft/Phi-3-small-128k-instruct/f7c1a443-006b-4ade-9b0f-895392e52b7c.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/microsoft_Phi-3-small-128k-instruct/1762652580.356006",
-  "retrieved_timestamp": "1762652580.356006",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "microsoft/Phi-3-small-128k-instruct",
-    "developer": "microsoft",
-    "inference_platform": "unknown",
-    "id": "microsoft/Phi-3-small-128k-instruct",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Phi3SmallForCausalLM",
-      "params_billions": 7.392
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6368258443153056
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6202176778696983
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2026086956521739
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.31711409395973156
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.43784375000000003
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4490525265957447
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/microsoft/Phi-3-small-8k-instruct/8b752519-63d4-4638-b56e-1c45c7f4694e.json b/data/hfopenllm_v2/microsoft/Phi-3-small-8k-instruct/8b752519-63d4-4638-b56e-1c45c7f4694e.json
new file mode 100644
index 000000000..ac0af8542
--- /dev/null
+++ b/data/hfopenllm_v2/microsoft/Phi-3-small-8k-instruct/8b752519-63d4-4638-b56e-1c45c7f4694e.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/microsoft_Phi-3-small-8k-instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Phi-3-small-8k-instruct",
+    "id": "microsoft/Phi-3-small-8k-instruct",
+    "developer": "microsoft",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Phi3SmallForCausalLM",
+      "params_billions": 7.392
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6497
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6208
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1887
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3121
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4558
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4506
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/microsoft/Phi-3-small-8k-instruct/f4c62b5d-fc1d-4421-9be8-e7e4af642284.json b/data/hfopenllm_v2/microsoft/Phi-3-small-8k-instruct/f4c62b5d-fc1d-4421-9be8-e7e4af642284.json
deleted file mode 100644
index da09bc8e2..000000000
--- a/data/hfopenllm_v2/microsoft/Phi-3-small-8k-instruct/f4c62b5d-fc1d-4421-9be8-e7e4af642284.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/microsoft_Phi-3-small-8k-instruct/1762652580.356211",
-  "retrieved_timestamp": "1762652580.356212",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "microsoft/Phi-3-small-8k-instruct",
-    "developer": "microsoft",
-    "inference_platform": "unknown",
-    "id": "microsoft/Phi-3-small-8k-instruct",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Phi3SmallForCausalLM",
-      "params_billions": 7.392
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6496651107949131
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6208364880870563
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.18869565217391304
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.31208053691275167
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.45579166666666665
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4506316489361702
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/microsoft/Phi-3.5-MoE-instruct/8da71b7c-7b73-453f-998b-84e70b54e471.json b/data/hfopenllm_v2/microsoft/Phi-3.5-MoE-instruct/8da71b7c-7b73-453f-998b-84e70b54e471.json
new file mode 100644
index 000000000..abd80b617
--- /dev/null
+++ b/data/hfopenllm_v2/microsoft/Phi-3.5-MoE-instruct/8da71b7c-7b73-453f-998b-84e70b54e471.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/microsoft_Phi-3.5-MoE-instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Phi-3.5-MoE-instruct",
+    "id": "microsoft/Phi-3.5-MoE-instruct",
+    "developer": "microsoft",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Phi3ForCausalLM",
+      "params_billions": 42.0
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6925
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6408
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3119
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3557
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4565
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4658
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/microsoft/Phi-3.5-MoE-instruct/ae57c3e7-4042-43eb-baa2-b033d1b4867c.json b/data/hfopenllm_v2/microsoft/Phi-3.5-MoE-instruct/ae57c3e7-4042-43eb-baa2-b033d1b4867c.json
deleted file mode 100644
index e3460f7b6..000000000
--- a/data/hfopenllm_v2/microsoft/Phi-3.5-MoE-instruct/ae57c3e7-4042-43eb-baa2-b033d1b4867c.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/microsoft_Phi-3.5-MoE-instruct/1762652580.356415",
-  "retrieved_timestamp": "1762652580.356415",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "microsoft/Phi-3.5-MoE-instruct",
-    "developer": "microsoft",
-    "inference_platform": "unknown",
-    "id": "microsoft/Phi-3.5-MoE-instruct",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Phi3ForCausalLM",
-      "params_billions": 42.0
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.692454908531585
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.640762564622586
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3119335347432024
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.35570469798657717
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4564791666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.46575797872340424
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/microsoft/Phi-3.5-mini-instruct/2b7b1216-3ea7-48f1-89f6-e5d84fef2b32.json b/data/hfopenllm_v2/microsoft/Phi-3.5-mini-instruct/2b7b1216-3ea7-48f1-89f6-e5d84fef2b32.json
new file mode 100644
index 000000000..5a22577ff
--- /dev/null
+++ b/data/hfopenllm_v2/microsoft/Phi-3.5-mini-instruct/2b7b1216-3ea7-48f1-89f6-e5d84fef2b32.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/microsoft_Phi-3.5-mini-instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Phi-3.5-mini-instruct",
+    "id": "microsoft/Phi-3.5-mini-instruct",
+    "developer": "microsoft",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Phi3ForCausalLM",
+      "params_billions": 3.821
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5775
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5518
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1964
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3398
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4021
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3962
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/microsoft/Phi-3.5-mini-instruct/42448d73-f9e0-4eb2-bd6a-74614d08d55c.json b/data/hfopenllm_v2/microsoft/Phi-3.5-mini-instruct/42448d73-f9e0-4eb2-bd6a-74614d08d55c.json
deleted file mode 100644
index 7253c43ee..000000000
--- a/data/hfopenllm_v2/microsoft/Phi-3.5-mini-instruct/42448d73-f9e0-4eb2-bd6a-74614d08d55c.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/microsoft_Phi-3.5-mini-instruct/1762652580.356627",
-  "retrieved_timestamp": "1762652580.356628",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "microsoft/Phi-3.5-mini-instruct",
-    "developer": "microsoft",
-    "inference_platform": "unknown",
-    "id": "microsoft/Phi-3.5-mini-instruct",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Phi3ForCausalLM",
-      "params_billions": 3.821
-    }
-  },
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diff --git a/data/hfopenllm_v2/microsoft/Phi-4-mini-instruct/1d02fe1c-f31d-4d38-a8c3-dc427e25cb80.json b/data/hfopenllm_v2/microsoft/Phi-4-mini-instruct/1d02fe1c-f31d-4d38-a8c3-dc427e25cb80.json
deleted file mode 100644
index ec9d45544..000000000
--- a/data/hfopenllm_v2/microsoft/Phi-4-mini-instruct/1d02fe1c-f31d-4d38-a8c3-dc427e25cb80.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/microsoft/Phi-4-mini-instruct/37e19712-3197-42da-a8f2-ae1f36c2b06c.json b/data/hfopenllm_v2/microsoft/Phi-4-mini-instruct/37e19712-3197-42da-a8f2-ae1f36c2b06c.json
new file mode 100644
index 000000000..7a263b228
--- /dev/null
+++ b/data/hfopenllm_v2/microsoft/Phi-4-mini-instruct/37e19712-3197-42da-a8f2-ae1f36c2b06c.json
@@ -0,0 +1,132 @@
+{
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+  "evaluation_id": "hfopenllm_v2/microsoft_Phi-4-mini-instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Phi-4-mini-instruct",
+    "id": "microsoft/Phi-4-mini-instruct",
+    "developer": "microsoft",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Phi3ForCausalLM",
+      "params_billions": 3.836
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5689
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+    },
+    {
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
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+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3096
+      }
+    },
+    {
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+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
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+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3873
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
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+        "max_score": 1.0
+      },
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+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/microsoft/Quazim0t0/CoT_Phi/ed579ba1-fcd3-4279-ac93-d0340a771e43.json b/data/hfopenllm_v2/microsoft/Quazim0t0/CoT_Phi/ed579ba1-fcd3-4279-ac93-d0340a771e43.json
deleted file mode 100644
index 1938ea3d0..000000000
--- a/data/hfopenllm_v2/microsoft/Quazim0t0/CoT_Phi/ed579ba1-fcd3-4279-ac93-d0340a771e43.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/microsoft/Quazim0t0/Lo-Phi-14b/b37d3d27-5ba0-44d6-bd19-1196a98b75b4.json b/data/hfopenllm_v2/microsoft/Quazim0t0/Lo-Phi-14b/b37d3d27-5ba0-44d6-bd19-1196a98b75b4.json
deleted file mode 100644
index 998c7e9ec..000000000
--- a/data/hfopenllm_v2/microsoft/Quazim0t0/Lo-Phi-14b/b37d3d27-5ba0-44d6-bd19-1196a98b75b4.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
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-    "source_type": "documentation"
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-  "model_info": {
-    "name": "Quazim0t0/Lo-Phi-14b",
-    "developer": "microsoft",
-    "inference_platform": "unknown",
-    "id": "Quazim0t0/Lo-Phi-14b",
-    "additional_details": {
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diff --git a/data/hfopenllm_v2/microsoft/Quazim0t0/Math_Phi4_Reason/1c2a87ca-9f1a-4d32-b1da-743927b722b0.json b/data/hfopenllm_v2/microsoft/Quazim0t0/Math_Phi4_Reason/1c2a87ca-9f1a-4d32-b1da-743927b722b0.json
deleted file mode 100644
index ccf3b03a7..000000000
--- a/data/hfopenllm_v2/microsoft/Quazim0t0/Math_Phi4_Reason/1c2a87ca-9f1a-4d32-b1da-743927b722b0.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Quazim0t0_Math_Phi4_Reason/1762652579.826147",
-  "retrieved_timestamp": "1762652579.826147",
-  "source_data": [
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Quazim0t0/Math_Phi4_Reason",
-    "developer": "microsoft",
-    "inference_platform": "unknown",
-    "id": "Quazim0t0/Math_Phi4_Reason",
-    "additional_details": {
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-        "min_score": 0,
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diff --git a/data/hfopenllm_v2/microsoft/Quazim0t0/Phi4.Turn.R1Distill.16bit/44749932-f3e3-45ad-bb4b-135a6d656e3b.json b/data/hfopenllm_v2/microsoft/Quazim0t0/Phi4.Turn.R1Distill.16bit/44749932-f3e3-45ad-bb4b-135a6d656e3b.json
deleted file mode 100644
index 00bc638e2..000000000
--- a/data/hfopenllm_v2/microsoft/Quazim0t0/Phi4.Turn.R1Distill.16bit/44749932-f3e3-45ad-bb4b-135a6d656e3b.json
+++ /dev/null
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deleted file mode 100644
index aeeafa9a9..000000000
--- a/data/hfopenllm_v2/microsoft/Quazim0t0/Phi4.Turn.R1Distill_v1.5.1-Tensors/5f1b91c8-28d0-4274-8979-32416003fafb.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/microsoft/Quazim0t0/Phi4Basis-14B-sce/d101111a-31bd-4eec-9a53-52543f6d5fd5.json b/data/hfopenllm_v2/microsoft/Quazim0t0/Phi4Basis-14B-sce/d101111a-31bd-4eec-9a53-52543f6d5fd5.json
deleted file mode 100644
index a2da009f2..000000000
--- a/data/hfopenllm_v2/microsoft/Quazim0t0/Phi4Basis-14B-sce/d101111a-31bd-4eec-9a53-52543f6d5fd5.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/microsoft/Quazim0t0/ThinkPhi1.1-Tensors/056e62d9-ab3e-4bf3-8693-47a5aea7f84f.json b/data/hfopenllm_v2/microsoft/Quazim0t0/ThinkPhi1.1-Tensors/056e62d9-ab3e-4bf3-8693-47a5aea7f84f.json
deleted file mode 100644
index 97ae262a8..000000000
--- a/data/hfopenllm_v2/microsoft/Quazim0t0/ThinkPhi1.1-Tensors/056e62d9-ab3e-4bf3-8693-47a5aea7f84f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/microsoft/Quazim0t0/graphite-14b-sce/bd98b886-a899-4022-aee4-09ea0e491fe3.json b/data/hfopenllm_v2/microsoft/Quazim0t0/graphite-14b-sce/bd98b886-a899-4022-aee4-09ea0e491fe3.json
deleted file mode 100644
index 9ecbdb593..000000000
--- a/data/hfopenllm_v2/microsoft/Quazim0t0/graphite-14b-sce/bd98b886-a899-4022-aee4-09ea0e491fe3.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/microsoft/Sakalti/Phi3.5-Comets-3.8B/7d9a3955-232c-4a93-b879-bd065bab4768.json b/data/hfopenllm_v2/microsoft/Sakalti/Phi3.5-Comets-3.8B/7d9a3955-232c-4a93-b879-bd065bab4768.json
deleted file mode 100644
index 8010ee002..000000000
--- a/data/hfopenllm_v2/microsoft/Sakalti/Phi3.5-Comets-3.8B/7d9a3955-232c-4a93-b879-bd065bab4768.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/microsoft/SicariusSicariiStuff/Phi-Line_14B/12b2a13d-2b38-47e6-a6d2-3d5a30bff5ae.json b/data/hfopenllm_v2/microsoft/SicariusSicariiStuff/Phi-Line_14B/12b2a13d-2b38-47e6-a6d2-3d5a30bff5ae.json
deleted file mode 100644
index df6cf71e0..000000000
--- a/data/hfopenllm_v2/microsoft/SicariusSicariiStuff/Phi-Line_14B/12b2a13d-2b38-47e6-a6d2-3d5a30bff5ae.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/microsoft/SicariusSicariiStuff/Phi-lthy4/56fa06dd-fd07-4613-9ac5-81c739cb6a64.json b/data/hfopenllm_v2/microsoft/SicariusSicariiStuff/Phi-lthy4/56fa06dd-fd07-4613-9ac5-81c739cb6a64.json
deleted file mode 100644
index d66a0f2c4..000000000
--- a/data/hfopenllm_v2/microsoft/SicariusSicariiStuff/Phi-lthy4/56fa06dd-fd07-4613-9ac5-81c739cb6a64.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/microsoft/Triangle104/Phi-4-AbliteratedRP/ef628438-c2ff-4939-8bf1-09f1df25fd15.json b/data/hfopenllm_v2/microsoft/Triangle104/Phi-4-AbliteratedRP/ef628438-c2ff-4939-8bf1-09f1df25fd15.json
deleted file mode 100644
index 4d7a69c67..000000000
--- a/data/hfopenllm_v2/microsoft/Triangle104/Phi-4-AbliteratedRP/ef628438-c2ff-4939-8bf1-09f1df25fd15.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/microsoft/Triangle104/Phi4-RP-o1-Ablit/c3578998-b9dc-4b42-a8cb-0bdf05cffc9f.json b/data/hfopenllm_v2/microsoft/Triangle104/Phi4-RP-o1-Ablit/c3578998-b9dc-4b42-a8cb-0bdf05cffc9f.json
deleted file mode 100644
index 64b04cd5d..000000000
--- a/data/hfopenllm_v2/microsoft/Triangle104/Phi4-RP-o1-Ablit/c3578998-b9dc-4b42-a8cb-0bdf05cffc9f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/microsoft/Triangle104/Phi4-RP-o1/9ed49666-aee1-43d0-8c7c-98c178860f0c.json b/data/hfopenllm_v2/microsoft/Triangle104/Phi4-RP-o1/9ed49666-aee1-43d0-8c7c-98c178860f0c.json
deleted file mode 100644
index 20dadd6f9..000000000
--- a/data/hfopenllm_v2/microsoft/Triangle104/Phi4-RP-o1/9ed49666-aee1-43d0-8c7c-98c178860f0c.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/microsoft/Undi95/Phi4-abliterated/29c3f781-f49c-4afc-bbc4-a47aebc91f71.json b/data/hfopenllm_v2/microsoft/Undi95/Phi4-abliterated/29c3f781-f49c-4afc-bbc4-a47aebc91f71.json
deleted file mode 100644
index f3b95a0a6..000000000
--- a/data/hfopenllm_v2/microsoft/Undi95/Phi4-abliterated/29c3f781-f49c-4afc-bbc4-a47aebc91f71.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/microsoft/VAGOsolutions/SauerkrautLM-Phi-3-medium/ae8b39a7-7fca-441f-bae3-8db76879cefe.json b/data/hfopenllm_v2/microsoft/VAGOsolutions/SauerkrautLM-Phi-3-medium/ae8b39a7-7fca-441f-bae3-8db76879cefe.json
deleted file mode 100644
index fe3900adf..000000000
--- a/data/hfopenllm_v2/microsoft/VAGOsolutions/SauerkrautLM-Phi-3-medium/ae8b39a7-7fca-441f-bae3-8db76879cefe.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/microsoft/Xiaojian9992024/Phi-4-Megatron-Empathetic/aec0af15-927b-48bd-a889-d4715aff4c42.json b/data/hfopenllm_v2/microsoft/Xiaojian9992024/Phi-4-Megatron-Empathetic/aec0af15-927b-48bd-a889-d4715aff4c42.json
deleted file mode 100644
index 8b6bfb402..000000000
--- a/data/hfopenllm_v2/microsoft/Xiaojian9992024/Phi-4-Megatron-Empathetic/aec0af15-927b-48bd-a889-d4715aff4c42.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/microsoft/Xiaojian9992024/Phi-4-mini-UNOFFICAL/058de011-1e80-4a6d-803f-8ba7f927cd7f.json b/data/hfopenllm_v2/microsoft/Xiaojian9992024/Phi-4-mini-UNOFFICAL/058de011-1e80-4a6d-803f-8ba7f927cd7f.json
deleted file mode 100644
index adbe9585a..000000000
--- a/data/hfopenllm_v2/microsoft/Xiaojian9992024/Phi-4-mini-UNOFFICAL/058de011-1e80-4a6d-803f-8ba7f927cd7f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/microsoft/Youlln/3PRYMMAL-PHI3-3B-SLERP/2c53181b-8681-46ad-b739-396b1ecb163c.json b/data/hfopenllm_v2/microsoft/Youlln/3PRYMMAL-PHI3-3B-SLERP/2c53181b-8681-46ad-b739-396b1ecb163c.json
deleted file mode 100644
index d708a4705..000000000
--- a/data/hfopenllm_v2/microsoft/Youlln/3PRYMMAL-PHI3-3B-SLERP/2c53181b-8681-46ad-b739-396b1ecb163c.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/microsoft/abideen/MedPhi-4-14B-v1/0367a9de-960b-4c1d-8e63-8dea06197bfa.json b/data/hfopenllm_v2/microsoft/abideen/MedPhi-4-14B-v1/0367a9de-960b-4c1d-8e63-8dea06197bfa.json
deleted file mode 100644
index f05b45476..000000000
--- a/data/hfopenllm_v2/microsoft/abideen/MedPhi-4-14B-v1/0367a9de-960b-4c1d-8e63-8dea06197bfa.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/microsoft/allknowingroger/MistralPhi3-11B/f7f557cf-4c63-444a-8c8f-515796b9b127.json b/data/hfopenllm_v2/microsoft/allknowingroger/MistralPhi3-11B/f7f557cf-4c63-444a-8c8f-515796b9b127.json
deleted file mode 100644
index 2b98a3b61..000000000
--- a/data/hfopenllm_v2/microsoft/allknowingroger/MistralPhi3-11B/f7f557cf-4c63-444a-8c8f-515796b9b127.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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deleted file mode 100644
index b8a7225b3..000000000
--- a/data/hfopenllm_v2/microsoft/allknowingroger/Phi3mash1-17B-pass/83ec9172-5769-4737-a766-0ca2006dd3e4.json
+++ /dev/null
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deleted file mode 100644
index a2a0f9c2b..000000000
--- a/data/hfopenllm_v2/microsoft/allknowingroger/ROGERphi-7B-slerp/9e7ef237-2e59-429d-9784-45de952f60af.json
+++ /dev/null
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deleted file mode 100644
index 2a25a9698..000000000
--- a/data/hfopenllm_v2/microsoft/benhaotang/phi4-qwq-sky-t1/08f1ef63-efc7-449c-92cf-6f180b9d2712.json
+++ /dev/null
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deleted file mode 100644
index ed9308f5a..000000000
--- a/data/hfopenllm_v2/microsoft/bunnycore/Phi-3.5-mini-TitanFusion-0.1/60823e05-59e3-4c4c-a23e-8ef495aa39be.json
+++ /dev/null
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diff --git a/data/hfopenllm_v2/microsoft/bunnycore/Phi-4-Model-Stock-v2/5bc6e404-5798-4d19-88d1-5a8153947227.json b/data/hfopenllm_v2/microsoft/bunnycore/Phi-4-Model-Stock-v2/5bc6e404-5798-4d19-88d1-5a8153947227.json
deleted file mode 100644
index f9013769e..000000000
--- a/data/hfopenllm_v2/microsoft/bunnycore/Phi-4-Model-Stock-v2/5bc6e404-5798-4d19-88d1-5a8153947227.json
+++ /dev/null
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diff --git a/data/hfopenllm_v2/microsoft/bunnycore/Phi-4-Model-Stock-v3/5832ef9b-bd14-46ba-b04d-049280bc5267.json b/data/hfopenllm_v2/microsoft/bunnycore/Phi-4-Model-Stock-v3/5832ef9b-bd14-46ba-b04d-049280bc5267.json
deleted file mode 100644
index dc52e310e..000000000
--- a/data/hfopenllm_v2/microsoft/bunnycore/Phi-4-Model-Stock-v3/5832ef9b-bd14-46ba-b04d-049280bc5267.json
+++ /dev/null
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diff --git a/data/hfopenllm_v2/microsoft/bunnycore/Phi-4-Model-Stock-v4/92363115-37f2-4d2f-8178-61fc98c8f337.json b/data/hfopenllm_v2/microsoft/bunnycore/Phi-4-Model-Stock-v4/92363115-37f2-4d2f-8178-61fc98c8f337.json
deleted file mode 100644
index d37a50d5d..000000000
--- a/data/hfopenllm_v2/microsoft/bunnycore/Phi-4-Model-Stock-v4/92363115-37f2-4d2f-8178-61fc98c8f337.json
+++ /dev/null
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diff --git a/data/hfopenllm_v2/microsoft/bunnycore/Phi-4-Model-Stock/cee9b876-96b3-4429-af70-6a5b45747a3b.json b/data/hfopenllm_v2/microsoft/bunnycore/Phi-4-Model-Stock/cee9b876-96b3-4429-af70-6a5b45747a3b.json
deleted file mode 100644
index fa3ccdcf3..000000000
--- a/data/hfopenllm_v2/microsoft/bunnycore/Phi-4-Model-Stock/cee9b876-96b3-4429-af70-6a5b45747a3b.json
+++ /dev/null
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-{
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diff --git a/data/hfopenllm_v2/microsoft/bunnycore/Phi-4-RP-v0/29135c1b-e6a0-428a-ba4f-459e9b652d25.json b/data/hfopenllm_v2/microsoft/bunnycore/Phi-4-RP-v0/29135c1b-e6a0-428a-ba4f-459e9b652d25.json
deleted file mode 100644
index cc43c35bd..000000000
--- a/data/hfopenllm_v2/microsoft/bunnycore/Phi-4-RP-v0/29135c1b-e6a0-428a-ba4f-459e9b652d25.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/microsoft/bunnycore/Phi-4-RR-Shoup/377bc688-a18e-4abb-91f7-d78a934e1649.json b/data/hfopenllm_v2/microsoft/bunnycore/Phi-4-RR-Shoup/377bc688-a18e-4abb-91f7-d78a934e1649.json
deleted file mode 100644
index ae1f4f0c4..000000000
--- a/data/hfopenllm_v2/microsoft/bunnycore/Phi-4-RR-Shoup/377bc688-a18e-4abb-91f7-d78a934e1649.json
+++ /dev/null
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diff --git a/data/hfopenllm_v2/microsoft/bunnycore/Phi-4-RStock-v0.1/cf300641-1ec3-4ee7-b38d-b274ebc23ff2.json b/data/hfopenllm_v2/microsoft/bunnycore/Phi-4-RStock-v0.1/cf300641-1ec3-4ee7-b38d-b274ebc23ff2.json
deleted file mode 100644
index 04f108b03..000000000
--- a/data/hfopenllm_v2/microsoft/bunnycore/Phi-4-RStock-v0.1/cf300641-1ec3-4ee7-b38d-b274ebc23ff2.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/microsoft/bunnycore/Phi-4-ReasoningRP/5db77608-f892-4ac4-93c4-03f177696484.json b/data/hfopenllm_v2/microsoft/bunnycore/Phi-4-ReasoningRP/5db77608-f892-4ac4-93c4-03f177696484.json
deleted file mode 100644
index 04ff9a019..000000000
--- a/data/hfopenllm_v2/microsoft/bunnycore/Phi-4-ReasoningRP/5db77608-f892-4ac4-93c4-03f177696484.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/microsoft/bunnycore/Phi-4-Sce-exp-v0.1/c8de0acd-7cce-45c0-9032-2b717f3917b8.json b/data/hfopenllm_v2/microsoft/bunnycore/Phi-4-Sce-exp-v0.1/c8de0acd-7cce-45c0-9032-2b717f3917b8.json
deleted file mode 100644
index 79cd25b27..000000000
--- a/data/hfopenllm_v2/microsoft/bunnycore/Phi-4-Sce-exp-v0.1/c8de0acd-7cce-45c0-9032-2b717f3917b8.json
+++ /dev/null
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diff --git a/data/hfopenllm_v2/microsoft/bunnycore/Phi-4-Stock-Ex/bc007572-56ff-449a-9e3d-5ab770c3ae44.json b/data/hfopenllm_v2/microsoft/bunnycore/Phi-4-Stock-Ex/bc007572-56ff-449a-9e3d-5ab770c3ae44.json
deleted file mode 100644
index f738bcf77..000000000
--- a/data/hfopenllm_v2/microsoft/bunnycore/Phi-4-Stock-Ex/bc007572-56ff-449a-9e3d-5ab770c3ae44.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/microsoft/bunnycore/Phi-4-Stock-RP/69724e46-4038-4d3a-a8ff-e84a56bba9e8.json b/data/hfopenllm_v2/microsoft/bunnycore/Phi-4-Stock-RP/69724e46-4038-4d3a-a8ff-e84a56bba9e8.json
deleted file mode 100644
index 7cc76a2ee..000000000
--- a/data/hfopenllm_v2/microsoft/bunnycore/Phi-4-Stock-RP/69724e46-4038-4d3a-a8ff-e84a56bba9e8.json
+++ /dev/null
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diff --git a/data/hfopenllm_v2/microsoft/bunnycore/Phi-4-Trim-Exp1/c13c2fd7-e271-4935-a3a6-4161cb8e4ea2.json b/data/hfopenllm_v2/microsoft/bunnycore/Phi-4-Trim-Exp1/c13c2fd7-e271-4935-a3a6-4161cb8e4ea2.json
deleted file mode 100644
index 058ad34e9..000000000
--- a/data/hfopenllm_v2/microsoft/bunnycore/Phi-4-Trim-Exp1/c13c2fd7-e271-4935-a3a6-4161cb8e4ea2.json
+++ /dev/null
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diff --git a/data/hfopenllm_v2/microsoft/bunnycore/Phi-Seek-4-Sce-V1/75810fb9-99b5-4707-80a8-8974bbb0844d.json b/data/hfopenllm_v2/microsoft/bunnycore/Phi-Seek-4-Sce-V1/75810fb9-99b5-4707-80a8-8974bbb0844d.json
deleted file mode 100644
index 86fe10f56..000000000
--- a/data/hfopenllm_v2/microsoft/bunnycore/Phi-Seek-4-Sce-V1/75810fb9-99b5-4707-80a8-8974bbb0844d.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/microsoft/carsenk/phi3.5_mini_exp_825_uncensored/68315e0a-603c-4784-a567-e342a6185c07.json b/data/hfopenllm_v2/microsoft/carsenk/phi3.5_mini_exp_825_uncensored/68315e0a-603c-4784-a567-e342a6185c07.json
deleted file mode 100644
index 069310ed4..000000000
--- a/data/hfopenllm_v2/microsoft/carsenk/phi3.5_mini_exp_825_uncensored/68315e0a-603c-4784-a567-e342a6185c07.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/microsoft/cognitivecomputations/Dolphin3.0-R1-Mistral-24B/8a641aee-1604-4910-8164-9e6d5c0652b1.json b/data/hfopenllm_v2/microsoft/cognitivecomputations/Dolphin3.0-R1-Mistral-24B/8a641aee-1604-4910-8164-9e6d5c0652b1.json
deleted file mode 100644
index 8b7e82f3c..000000000
--- a/data/hfopenllm_v2/microsoft/cognitivecomputations/Dolphin3.0-R1-Mistral-24B/8a641aee-1604-4910-8164-9e6d5c0652b1.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/microsoft/cognitivecomputations/dolphin-2.9.1-yi-1.5-34b/4e6cb7a6-f01d-4e25-be2f-bda77af2eaf6.json b/data/hfopenllm_v2/microsoft/cognitivecomputations/dolphin-2.9.1-yi-1.5-34b/4e6cb7a6-f01d-4e25-be2f-bda77af2eaf6.json
deleted file mode 100644
index 6a671a021..000000000
--- a/data/hfopenllm_v2/microsoft/cognitivecomputations/dolphin-2.9.1-yi-1.5-34b/4e6cb7a6-f01d-4e25-be2f-bda77af2eaf6.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/microsoft/cognitivecomputations/dolphin-2.9.1-yi-1.5-9b/e1003371-d503-469d-ae41-e813d097ea43.json b/data/hfopenllm_v2/microsoft/cognitivecomputations/dolphin-2.9.1-yi-1.5-9b/e1003371-d503-469d-ae41-e813d097ea43.json
deleted file mode 100644
index 29026f752..000000000
--- a/data/hfopenllm_v2/microsoft/cognitivecomputations/dolphin-2.9.1-yi-1.5-9b/e1003371-d503-469d-ae41-e813d097ea43.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/microsoft/cognitivecomputations/dolphin-2.9.2-Phi-3-Medium-abliterated/6f89f55f-a259-419a-b6ad-9b01b2dae9d8.json b/data/hfopenllm_v2/microsoft/cognitivecomputations/dolphin-2.9.2-Phi-3-Medium-abliterated/6f89f55f-a259-419a-b6ad-9b01b2dae9d8.json
deleted file mode 100644
index 1cd99f2fb..000000000
--- a/data/hfopenllm_v2/microsoft/cognitivecomputations/dolphin-2.9.2-Phi-3-Medium-abliterated/6f89f55f-a259-419a-b6ad-9b01b2dae9d8.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/microsoft/cognitivecomputations/dolphin-2.9.2-Phi-3-Medium-abliterated/958ad3b8-9b65-4165-9d3c-a49e25802fd3.json b/data/hfopenllm_v2/microsoft/cognitivecomputations/dolphin-2.9.2-Phi-3-Medium-abliterated/958ad3b8-9b65-4165-9d3c-a49e25802fd3.json
deleted file mode 100644
index 0e9641323..000000000
--- a/data/hfopenllm_v2/microsoft/cognitivecomputations/dolphin-2.9.2-Phi-3-Medium-abliterated/958ad3b8-9b65-4165-9d3c-a49e25802fd3.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/microsoft/cognitivecomputations/dolphin-2.9.2-Phi-3-Medium/36476eb7-a89a-45e1-b423-7755edfd5be1.json b/data/hfopenllm_v2/microsoft/cognitivecomputations/dolphin-2.9.2-Phi-3-Medium/36476eb7-a89a-45e1-b423-7755edfd5be1.json
deleted file mode 100644
index 692e8f443..000000000
--- a/data/hfopenllm_v2/microsoft/cognitivecomputations/dolphin-2.9.2-Phi-3-Medium/36476eb7-a89a-45e1-b423-7755edfd5be1.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/microsoft/cognitivecomputations/dolphin-2.9.3-Yi-1.5-34B-32k/0e625490-b7b1-4b64-aa1e-222c4e21d7a5.json b/data/hfopenllm_v2/microsoft/cognitivecomputations/dolphin-2.9.3-Yi-1.5-34B-32k/0e625490-b7b1-4b64-aa1e-222c4e21d7a5.json
deleted file mode 100644
index efedcdc9a..000000000
--- a/data/hfopenllm_v2/microsoft/cognitivecomputations/dolphin-2.9.3-Yi-1.5-34B-32k/0e625490-b7b1-4b64-aa1e-222c4e21d7a5.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/microsoft/cognitivecomputations/dolphin-2.9.3-mistral-7B-32k/4a0bc836-88b7-4d6e-9f0d-321ff75b1733.json b/data/hfopenllm_v2/microsoft/cognitivecomputations/dolphin-2.9.3-mistral-7B-32k/4a0bc836-88b7-4d6e-9f0d-321ff75b1733.json
deleted file mode 100644
index 73fac11c1..000000000
--- a/data/hfopenllm_v2/microsoft/cognitivecomputations/dolphin-2.9.3-mistral-7B-32k/4a0bc836-88b7-4d6e-9f0d-321ff75b1733.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/microsoft/cognitivecomputations/dolphin-2.9.3-mistral-nemo-12b/05488c6f-dfd4-4481-a3d4-15a918b115d3.json b/data/hfopenllm_v2/microsoft/cognitivecomputations/dolphin-2.9.3-mistral-nemo-12b/05488c6f-dfd4-4481-a3d4-15a918b115d3.json
deleted file mode 100644
index ce851df74..000000000
--- a/data/hfopenllm_v2/microsoft/cognitivecomputations/dolphin-2.9.3-mistral-nemo-12b/05488c6f-dfd4-4481-a3d4-15a918b115d3.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/microsoft/ehristoforu/phi-4-25b/d11d7e47-f9e0-4502-9e71-0654819c3cd4.json b/data/hfopenllm_v2/microsoft/ehristoforu/phi-4-25b/d11d7e47-f9e0-4502-9e71-0654819c3cd4.json
deleted file mode 100644
index 62b3c0c58..000000000
--- a/data/hfopenllm_v2/microsoft/ehristoforu/phi-4-25b/d11d7e47-f9e0-4502-9e71-0654819c3cd4.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/microsoft/ehristoforu/ruphi-4b/70337ca5-7810-4e52-8382-0c2568a6ab70.json b/data/hfopenllm_v2/microsoft/ehristoforu/ruphi-4b/70337ca5-7810-4e52-8382-0c2568a6ab70.json
deleted file mode 100644
index ea7ac03cb..000000000
--- a/data/hfopenllm_v2/microsoft/ehristoforu/ruphi-4b/70337ca5-7810-4e52-8382-0c2568a6ab70.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/microsoft/fhai50032/Unaligned-Thinker-PHI-4/bda90ce2-cb80-4942-8492-28329d7f5aeb.json b/data/hfopenllm_v2/microsoft/fhai50032/Unaligned-Thinker-PHI-4/bda90ce2-cb80-4942-8492-28329d7f5aeb.json
deleted file mode 100644
index e345ae44d..000000000
--- a/data/hfopenllm_v2/microsoft/fhai50032/Unaligned-Thinker-PHI-4/bda90ce2-cb80-4942-8492-28329d7f5aeb.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/microsoft/hotmailuser/Phi4-Slerp4-14B/da866c81-296f-463c-962b-6b871d6fb633.json b/data/hfopenllm_v2/microsoft/hotmailuser/Phi4-Slerp4-14B/da866c81-296f-463c-962b-6b871d6fb633.json
deleted file mode 100644
index 57b0b465b..000000000
--- a/data/hfopenllm_v2/microsoft/hotmailuser/Phi4-Slerp4-14B/da866c81-296f-463c-962b-6b871d6fb633.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/microsoft/magnifi/Phi3_intent_v56_3_w_unknown_5_lr_0.002/c78d1aaf-9975-45d6-9a8d-eed76f7e0a0f.json b/data/hfopenllm_v2/microsoft/magnifi/Phi3_intent_v56_3_w_unknown_5_lr_0.002/c78d1aaf-9975-45d6-9a8d-eed76f7e0a0f.json
deleted file mode 100644
index 0a58ea4e1..000000000
--- a/data/hfopenllm_v2/microsoft/magnifi/Phi3_intent_v56_3_w_unknown_5_lr_0.002/c78d1aaf-9975-45d6-9a8d-eed76f7e0a0f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/microsoft/microsoft/phi-1/b88d579f-6bc7-4aee-a117-28786cba3300.json b/data/hfopenllm_v2/microsoft/microsoft/phi-1/b88d579f-6bc7-4aee-a117-28786cba3300.json
deleted file mode 100644
index c9174ac05..000000000
--- a/data/hfopenllm_v2/microsoft/microsoft/phi-1/b88d579f-6bc7-4aee-a117-28786cba3300.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/microsoft/microsoft/phi-1_5/0bc55439-f6a1-4588-858a-082907876d6e.json b/data/hfopenllm_v2/microsoft/microsoft/phi-1_5/0bc55439-f6a1-4588-858a-082907876d6e.json
deleted file mode 100644
index 259e82a1c..000000000
--- a/data/hfopenllm_v2/microsoft/microsoft/phi-1_5/0bc55439-f6a1-4588-858a-082907876d6e.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/microsoft/microsoft/phi-2/e38ef3e4-585f-46de-beb4-c794d767b579.json b/data/hfopenllm_v2/microsoft/microsoft/phi-2/e38ef3e4-585f-46de-beb4-c794d767b579.json
deleted file mode 100644
index b3236fc99..000000000
--- a/data/hfopenllm_v2/microsoft/microsoft/phi-2/e38ef3e4-585f-46de-beb4-c794d767b579.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/microsoft/microsoft/phi-4/5481936f-d52a-486b-871e-d2e48c1b0278.json b/data/hfopenllm_v2/microsoft/microsoft/phi-4/5481936f-d52a-486b-871e-d2e48c1b0278.json
deleted file mode 100644
index 879edf5aa..000000000
--- a/data/hfopenllm_v2/microsoft/microsoft/phi-4/5481936f-d52a-486b-871e-d2e48c1b0278.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/microsoft/microsoft/phi-4/f3ee4f04-22f1-4ddb-afb2-27b8f641042b.json b/data/hfopenllm_v2/microsoft/microsoft/phi-4/f3ee4f04-22f1-4ddb-afb2-27b8f641042b.json
deleted file mode 100644
index 9321312fb..000000000
--- a/data/hfopenllm_v2/microsoft/microsoft/phi-4/f3ee4f04-22f1-4ddb-afb2-27b8f641042b.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/microsoft/migtissera/Tess-v2.5-Phi-3-medium-128k-14B/260f2500-c920-4e3f-901b-10efc03f0390.json b/data/hfopenllm_v2/microsoft/migtissera/Tess-v2.5-Phi-3-medium-128k-14B/260f2500-c920-4e3f-901b-10efc03f0390.json
deleted file mode 100644
index aa34f97ef..000000000
--- a/data/hfopenllm_v2/microsoft/migtissera/Tess-v2.5-Phi-3-medium-128k-14B/260f2500-c920-4e3f-901b-10efc03f0390.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/microsoft/mkurman/phi-4-MedIT-11B-exp-1/d64a8825-610a-4128-8c68-55150a76ed88.json b/data/hfopenllm_v2/microsoft/mkurman/phi-4-MedIT-11B-exp-1/d64a8825-610a-4128-8c68-55150a76ed88.json
deleted file mode 100644
index f8905ed19..000000000
--- a/data/hfopenllm_v2/microsoft/mkurman/phi-4-MedIT-11B-exp-1/d64a8825-610a-4128-8c68-55150a76ed88.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/microsoft/mkurman/phi4-MedIT-10B-o1/c5a2a30d-99b0-4658-97f5-4c9be5576073.json b/data/hfopenllm_v2/microsoft/mkurman/phi4-MedIT-10B-o1/c5a2a30d-99b0-4658-97f5-4c9be5576073.json
deleted file mode 100644
index 8095909cb..000000000
--- a/data/hfopenllm_v2/microsoft/mkurman/phi4-MedIT-10B-o1/c5a2a30d-99b0-4658-97f5-4c9be5576073.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/microsoft/mlabonne/phixtral-2x2_8/ec051c9b-9399-4c8d-8710-6a182a234890.json b/data/hfopenllm_v2/microsoft/mlabonne/phixtral-2x2_8/ec051c9b-9399-4c8d-8710-6a182a234890.json
deleted file mode 100644
index 03896dd62..000000000
--- a/data/hfopenllm_v2/microsoft/mlabonne/phixtral-2x2_8/ec051c9b-9399-4c8d-8710-6a182a234890.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/microsoft/mrm8488/phi-4-14B-grpo-gsm8k-3e/1bd4d2fe-cd83-4a79-b102-40be8ebb6245.json b/data/hfopenllm_v2/microsoft/mrm8488/phi-4-14B-grpo-gsm8k-3e/1bd4d2fe-cd83-4a79-b102-40be8ebb6245.json
deleted file mode 100644
index c947cc2bb..000000000
--- a/data/hfopenllm_v2/microsoft/mrm8488/phi-4-14B-grpo-gsm8k-3e/1bd4d2fe-cd83-4a79-b102-40be8ebb6245.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/microsoft/mrm8488/phi-4-14B-grpo-limo/e671d26c-1d8a-4d22-b360-dc3e449886b8.json b/data/hfopenllm_v2/microsoft/mrm8488/phi-4-14B-grpo-limo/e671d26c-1d8a-4d22-b360-dc3e449886b8.json
deleted file mode 100644
index 26277b730..000000000
--- a/data/hfopenllm_v2/microsoft/mrm8488/phi-4-14B-grpo-limo/e671d26c-1d8a-4d22-b360-dc3e449886b8.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/microsoft/netcat420/MFANN-abliterated-phi2-merge-unretrained/a3c07d22-20d1-4878-80d5-04b949580829.json b/data/hfopenllm_v2/microsoft/netcat420/MFANN-abliterated-phi2-merge-unretrained/a3c07d22-20d1-4878-80d5-04b949580829.json
deleted file mode 100644
index 3c9092a8d..000000000
--- a/data/hfopenllm_v2/microsoft/netcat420/MFANN-abliterated-phi2-merge-unretrained/a3c07d22-20d1-4878-80d5-04b949580829.json
+++ /dev/null
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diff --git a/data/hfopenllm_v2/microsoft/netcat420/MFANN-phigments-slerp-V2/8b4f2ab4-dcd7-4c5d-9bd0-6d7e1580c123.json b/data/hfopenllm_v2/microsoft/netcat420/MFANN-phigments-slerp-V2/8b4f2ab4-dcd7-4c5d-9bd0-6d7e1580c123.json
deleted file mode 100644
index 5e0d7c2fe..000000000
--- a/data/hfopenllm_v2/microsoft/netcat420/MFANN-phigments-slerp-V2/8b4f2ab4-dcd7-4c5d-9bd0-6d7e1580c123.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/microsoft/netcat420/MFANN-phigments-slerp-V3.2/8c4e85ce-7b8f-479c-a1dc-114c7e5ba4f1.json b/data/hfopenllm_v2/microsoft/netcat420/MFANN-phigments-slerp-V3.2/8c4e85ce-7b8f-479c-a1dc-114c7e5ba4f1.json
deleted file mode 100644
index 2c461aba6..000000000
--- a/data/hfopenllm_v2/microsoft/netcat420/MFANN-phigments-slerp-V3.2/8c4e85ce-7b8f-479c-a1dc-114c7e5ba4f1.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/microsoft/netcat420/MFANN-phigments-slerp-V3.3/b3466ac6-df1f-4440-9d7b-7991cac7d733.json b/data/hfopenllm_v2/microsoft/netcat420/MFANN-phigments-slerp-V3.3/b3466ac6-df1f-4440-9d7b-7991cac7d733.json
deleted file mode 100644
index 7602d1173..000000000
--- a/data/hfopenllm_v2/microsoft/netcat420/MFANN-phigments-slerp-V3.3/b3466ac6-df1f-4440-9d7b-7991cac7d733.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/microsoft/pankajmathur/orca_mini_phi-4/f5971ede-de93-4729-8a03-b9ec3abea21e.json b/data/hfopenllm_v2/microsoft/pankajmathur/orca_mini_phi-4/f5971ede-de93-4729-8a03-b9ec3abea21e.json
deleted file mode 100644
index ea88830f5..000000000
--- a/data/hfopenllm_v2/microsoft/pankajmathur/orca_mini_phi-4/f5971ede-de93-4729-8a03-b9ec3abea21e.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "pankajmathur/orca_mini_phi-4",
-    "developer": "microsoft",
-    "inference_platform": "unknown",
-    "id": "pankajmathur/orca_mini_phi-4",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 14.66
-    }
-  },
-  "evaluation_results": [
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-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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diff --git a/data/hfopenllm_v2/microsoft/phi-1/c6ae6691-64ec-443d-8d76-af614c8cc7f9.json b/data/hfopenllm_v2/microsoft/phi-1/c6ae6691-64ec-443d-8d76-af614c8cc7f9.json
new file mode 100644
index 000000000..84c69a4be
--- /dev/null
+++ b/data/hfopenllm_v2/microsoft/phi-1/c6ae6691-64ec-443d-8d76-af614c8cc7f9.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/microsoft_phi-1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "phi-1",
+    "id": "microsoft/phi-1",
+    "developer": "microsoft",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "PhiForCausalLM",
+      "params_billions": 1.418
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2068
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3139
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2651
+      }
+    },
+    {
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+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3525
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+    },
+    {
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+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/microsoft/phi-1_5/80567722-8c6b-41b9-8103-3bdaedfdb8ee.json b/data/hfopenllm_v2/microsoft/phi-1_5/80567722-8c6b-41b9-8103-3bdaedfdb8ee.json
new file mode 100644
index 000000000..2fc19d941
--- /dev/null
+++ b/data/hfopenllm_v2/microsoft/phi-1_5/80567722-8c6b-41b9-8103-3bdaedfdb8ee.json
@@ -0,0 +1,132 @@
+{
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+  "evaluation_id": "hfopenllm_v2/microsoft_phi-1_5/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "phi-1_5",
+    "id": "microsoft/phi-1_5",
+    "developer": "microsoft",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "PhiForCausalLM",
+      "params_billions": 1.418
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2033
+      }
+    },
+    {
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+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.336
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0181
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2676
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3404
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1691
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/microsoft/phi-2/20192dc4-ea3a-4413-8457-18a592fa0c64.json b/data/hfopenllm_v2/microsoft/phi-2/20192dc4-ea3a-4413-8457-18a592fa0c64.json
new file mode 100644
index 000000000..428cbe527
--- /dev/null
+++ b/data/hfopenllm_v2/microsoft/phi-2/20192dc4-ea3a-4413-8457-18a592fa0c64.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/microsoft_phi-2/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "phi-2",
+    "id": "microsoft/phi-2",
+    "developer": "microsoft",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "PhiForCausalLM",
+      "params_billions": 2.78
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2739
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4881
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0295
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2718
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4099
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2628
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/microsoft/phi-4/8c878c05-86f7-4d61-81d7-9bb286516581.json b/data/hfopenllm_v2/microsoft/phi-4/8c878c05-86f7-4d61-81d7-9bb286516581.json
new file mode 100644
index 000000000..5d88bde05
--- /dev/null
+++ b/data/hfopenllm_v2/microsoft/phi-4/8c878c05-86f7-4d61-81d7-9bb286516581.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/microsoft_phi-4/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "phi-4",
+    "id": "microsoft/phi-4",
+    "developer": "microsoft",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Phi3ForCausalLM",
+      "params_billions": 14.66
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0585
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6691
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3165
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.406
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5034
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5287
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/microsoft/phi-4/fa753be0-4a98-4ec3-9cc9-3bf7b380ad17.json b/data/hfopenllm_v2/microsoft/phi-4/fa753be0-4a98-4ec3-9cc9-3bf7b380ad17.json
new file mode 100644
index 000000000..8eaf9faa9
--- /dev/null
+++ b/data/hfopenllm_v2/microsoft/phi-4/fa753be0-4a98-4ec3-9cc9-3bf7b380ad17.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/microsoft_phi-4/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "phi-4",
+    "id": "microsoft/phi-4",
+    "developer": "microsoft",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Phi3ForCausalLM",
+      "params_billions": 14.66
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0488
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6703
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2787
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.401
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5034
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5295
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/microsoft/prithivMLmods/Phi-4-Empathetic/a7a2af83-7047-4601-bfdd-ac25abf3890d.json b/data/hfopenllm_v2/microsoft/prithivMLmods/Phi-4-Empathetic/a7a2af83-7047-4601-bfdd-ac25abf3890d.json
deleted file mode 100644
index e03f510c1..000000000
--- a/data/hfopenllm_v2/microsoft/prithivMLmods/Phi-4-Empathetic/a7a2af83-7047-4601-bfdd-ac25abf3890d.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/prithivMLmods_Phi-4-Empathetic/1762652580.469516",
-  "retrieved_timestamp": "1762652580.469517",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "prithivMLmods/Phi-4-Empathetic",
-    "developer": "microsoft",
-    "inference_platform": "unknown",
-    "id": "prithivMLmods/Phi-4-Empathetic",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 14.66
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    {
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-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.49913541666666666
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5065658244680851
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/microsoft/prithivMLmods/Phi-4-Math-IO/88c03059-5add-46ea-b423-4cf8496c5763.json b/data/hfopenllm_v2/microsoft/prithivMLmods/Phi-4-Math-IO/88c03059-5add-46ea-b423-4cf8496c5763.json
deleted file mode 100644
index 3b8012923..000000000
--- a/data/hfopenllm_v2/microsoft/prithivMLmods/Phi-4-Math-IO/88c03059-5add-46ea-b423-4cf8496c5763.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/prithivMLmods_Phi-4-Math-IO/1762652580.469801",
-  "retrieved_timestamp": "1762652580.469801",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
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-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "prithivMLmods/Phi-4-Math-IO",
-    "developer": "microsoft",
-    "inference_platform": "unknown",
-    "id": "prithivMLmods/Phi-4-Math-IO",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 14.66
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
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-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
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-    },
-    {
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-        "score_type": "continuous",
-        "min_score": 0,
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-    },
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-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-}
diff --git a/data/hfopenllm_v2/microsoft/prithivMLmods/Phi-4-QwQ/8e84f2de-117a-4526-9d58-86a63011a07f.json b/data/hfopenllm_v2/microsoft/prithivMLmods/Phi-4-QwQ/8e84f2de-117a-4526-9d58-86a63011a07f.json
deleted file mode 100644
index 1e27b2a49..000000000
--- a/data/hfopenllm_v2/microsoft/prithivMLmods/Phi-4-QwQ/8e84f2de-117a-4526-9d58-86a63011a07f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/prithivMLmods_Phi-4-QwQ/1762652580.470021",
-  "retrieved_timestamp": "1762652580.470022",
-  "source_data": [
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-  ],
-  "source_metadata": {
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "prithivMLmods/Phi-4-QwQ",
-    "developer": "microsoft",
-    "inference_platform": "unknown",
-    "id": "prithivMLmods/Phi-4-QwQ",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 14.66
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-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
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-    {
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-      "score_details": {
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diff --git a/data/hfopenllm_v2/microsoft/prithivMLmods/Phi-4-Super-1/91c5f088-38fd-4ea7-bf95-3d6a69653cca.json b/data/hfopenllm_v2/microsoft/prithivMLmods/Phi-4-Super-1/91c5f088-38fd-4ea7-bf95-3d6a69653cca.json
deleted file mode 100644
index 21642d402..000000000
--- a/data/hfopenllm_v2/microsoft/prithivMLmods/Phi-4-Super-1/91c5f088-38fd-4ea7-bf95-3d6a69653cca.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/prithivMLmods_Phi-4-Super-1/1762652580.470496",
-  "retrieved_timestamp": "1762652580.470498",
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
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-    "name": "prithivMLmods/Phi-4-Super-1",
-    "developer": "microsoft",
-    "inference_platform": "unknown",
-    "id": "prithivMLmods/Phi-4-Super-1",
-    "additional_details": {
-      "precision": "bfloat16",
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diff --git a/data/hfopenllm_v2/microsoft/prithivMLmods/Phi-4-Super-o1/b90749f4-0542-42b6-a708-4e14bc586ad1.json b/data/hfopenllm_v2/microsoft/prithivMLmods/Phi-4-Super-o1/b90749f4-0542-42b6-a708-4e14bc586ad1.json
deleted file mode 100644
index 3452fd946..000000000
--- a/data/hfopenllm_v2/microsoft/prithivMLmods/Phi-4-Super-o1/b90749f4-0542-42b6-a708-4e14bc586ad1.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/microsoft/prithivMLmods/Phi-4-Super/ec19309c-9bbe-4d42-894d-3638dbe5dfac.json b/data/hfopenllm_v2/microsoft/prithivMLmods/Phi-4-Super/ec19309c-9bbe-4d42-894d-3638dbe5dfac.json
deleted file mode 100644
index 1651dcd0d..000000000
--- a/data/hfopenllm_v2/microsoft/prithivMLmods/Phi-4-Super/ec19309c-9bbe-4d42-894d-3638dbe5dfac.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/microsoft/prithivMLmods/Phi-4-o1/d58bf1bb-e269-4741-a9f1-be242443ad4a.json b/data/hfopenllm_v2/microsoft/prithivMLmods/Phi-4-o1/d58bf1bb-e269-4741-a9f1-be242443ad4a.json
deleted file mode 100644
index 38dcc0326..000000000
--- a/data/hfopenllm_v2/microsoft/prithivMLmods/Phi-4-o1/d58bf1bb-e269-4741-a9f1-be242443ad4a.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/microsoft/prithivMLmods/Phi4-Super/07ee76dd-a928-469b-912e-cfd2e0a26ef9.json b/data/hfopenllm_v2/microsoft/prithivMLmods/Phi4-Super/07ee76dd-a928-469b-912e-cfd2e0a26ef9.json
deleted file mode 100644
index 0eb1df0dd..000000000
--- a/data/hfopenllm_v2/microsoft/prithivMLmods/Phi4-Super/07ee76dd-a928-469b-912e-cfd2e0a26ef9.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/microsoft/rhysjones/phi-2-orange-v2/bf679659-f55f-43c8-86b5-ed7805e8c3ee.json b/data/hfopenllm_v2/microsoft/rhysjones/phi-2-orange-v2/bf679659-f55f-43c8-86b5-ed7805e8c3ee.json
deleted file mode 100644
index 0d33d8a3e..000000000
--- a/data/hfopenllm_v2/microsoft/rhysjones/phi-2-orange-v2/bf679659-f55f-43c8-86b5-ed7805e8c3ee.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/microsoft/suayptalha/Luminis-phi-4/ace18207-a255-447d-9aba-8afdee092164.json b/data/hfopenllm_v2/microsoft/suayptalha/Luminis-phi-4/ace18207-a255-447d-9aba-8afdee092164.json
deleted file mode 100644
index 80bc84d3d..000000000
--- a/data/hfopenllm_v2/microsoft/suayptalha/Luminis-phi-4/ace18207-a255-447d-9aba-8afdee092164.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/microsoft/tensopolis/phi-4-tensopolis-v1/bcbdde44-0736-4162-9faf-cd9d8e89d360.json b/data/hfopenllm_v2/microsoft/tensopolis/phi-4-tensopolis-v1/bcbdde44-0736-4162-9faf-cd9d8e89d360.json
deleted file mode 100644
index 0e104c263..000000000
--- a/data/hfopenllm_v2/microsoft/tensopolis/phi-4-tensopolis-v1/bcbdde44-0736-4162-9faf-cd9d8e89d360.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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deleted file mode 100644
index 9cf11c57b..000000000
--- a/data/hfopenllm_v2/microsoft/theprint/phi-3-mini-4k-python/f017d759-59fe-42a3-947d-a4b787f084d7.json
+++ /dev/null
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-{
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diff --git a/data/hfopenllm_v2/microsoft/unsloth/phi-4-bnb-4bit/c8cfc527-9a58-45e7-a8e0-39caacd8bd58.json b/data/hfopenllm_v2/microsoft/unsloth/phi-4-bnb-4bit/c8cfc527-9a58-45e7-a8e0-39caacd8bd58.json
deleted file mode 100644
index 61df9d31a..000000000
--- a/data/hfopenllm_v2/microsoft/unsloth/phi-4-bnb-4bit/c8cfc527-9a58-45e7-a8e0-39caacd8bd58.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/microsoft/unsloth/phi-4-unsloth-bnb-4bit/3bdd8e19-fd61-4d1e-96b1-cdadd4c2d67f.json b/data/hfopenllm_v2/microsoft/unsloth/phi-4-unsloth-bnb-4bit/3bdd8e19-fd61-4d1e-96b1-cdadd4c2d67f.json
deleted file mode 100644
index e8c67d6c6..000000000
--- a/data/hfopenllm_v2/microsoft/unsloth/phi-4-unsloth-bnb-4bit/3bdd8e19-fd61-4d1e-96b1-cdadd4c2d67f.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/microsoft/unsloth/phi-4/c6080b92-d05a-4bda-ad07-e1b59a427844.json b/data/hfopenllm_v2/microsoft/unsloth/phi-4/c6080b92-d05a-4bda-ad07-e1b59a427844.json
deleted file mode 100644
index 58fb39c40..000000000
--- a/data/hfopenllm_v2/microsoft/unsloth/phi-4/c6080b92-d05a-4bda-ad07-e1b59a427844.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/microsoft/uukuguy/speechless-mistral-dolphin-orca-platypus-samantha-7b/49cd8aff-0c7a-4245-831a-f4fc64383b48.json b/data/hfopenllm_v2/microsoft/uukuguy/speechless-mistral-dolphin-orca-platypus-samantha-7b/49cd8aff-0c7a-4245-831a-f4fc64383b48.json
deleted file mode 100644
index 6983855b7..000000000
--- a/data/hfopenllm_v2/microsoft/uukuguy/speechless-mistral-dolphin-orca-platypus-samantha-7b/49cd8aff-0c7a-4245-831a-f4fc64383b48.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/migtissera/Llama-3-70B-Synthia-v3.5/0516b46b-a957-413f-aadc-58f4339dc60a.json b/data/hfopenllm_v2/migtissera/Llama-3-70B-Synthia-v3.5/0516b46b-a957-413f-aadc-58f4339dc60a.json
new file mode 100644
index 000000000..2429a8f70
--- /dev/null
+++ b/data/hfopenllm_v2/migtissera/Llama-3-70B-Synthia-v3.5/0516b46b-a957-413f-aadc-58f4339dc60a.json
@@ -0,0 +1,132 @@
+{
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+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
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+    "source_type": "documentation",
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+    "evaluator_relationship": "third_party"
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+  "model_info": {
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+    "id": "migtissera/Llama-3-70B-Synthia-v3.5",
+    "developer": "migtissera",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 70.554
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+        "score_type": "continuous",
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+        "max_score": 1.0
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+      "score_details": {
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+    },
+    {
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+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "max_score": 1.0
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+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
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+        "score_type": "continuous",
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
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+      "metric_config": {
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+        "score_type": "continuous",
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+    {
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+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
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+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4658
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/migtissera/Llama-3-8B-Synthia-v3.5/97200dd7-7ed0-4a7b-ace9-31c173f017f1.json b/data/hfopenllm_v2/migtissera/Llama-3-8B-Synthia-v3.5/97200dd7-7ed0-4a7b-ace9-31c173f017f1.json
new file mode 100644
index 000000000..30146a9c1
--- /dev/null
+++ b/data/hfopenllm_v2/migtissera/Llama-3-8B-Synthia-v3.5/97200dd7-7ed0-4a7b-ace9-31c173f017f1.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/migtissera_Llama-3-8B-Synthia-v3.5/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-3-8B-Synthia-v3.5",
+    "id": "migtissera/Llama-3-8B-Synthia-v3.5",
+    "developer": "migtissera",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.507
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4888
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+      },
+      "metric_config": {
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+        "lower_is_better": false,
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+    {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "max_score": 1.0
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+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/migtissera/Tess-3-7B-SFT/758f8332-ffa8-4059-ac6f-400f9367bb23.json b/data/hfopenllm_v2/migtissera/Tess-3-7B-SFT/758f8332-ffa8-4059-ac6f-400f9367bb23.json
new file mode 100644
index 000000000..45ec18a45
--- /dev/null
+++ b/data/hfopenllm_v2/migtissera/Tess-3-7B-SFT/758f8332-ffa8-4059-ac6f-400f9367bb23.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/migtissera_Tess-3-7B-SFT/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Tess-3-7B-SFT",
+    "id": "migtissera/Tess-3-7B-SFT",
+    "developer": "migtissera",
+    "inference_platform": "unknown",
+    "additional_details": {
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+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.248
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
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+        "source_type": "hf_dataset",
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+      },
+      "metric_config": {
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+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
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+        "score_type": "continuous",
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+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
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+        "lower_is_better": false,
+        "score_type": "continuous",
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+      },
+      "score_details": {
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+      }
+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+      },
+      "score_details": {
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+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "max_score": 1.0
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+      "score_details": {
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+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/migtissera/Tess-3-7B-SFT/cc99f18f-e75c-4cd1-a466-ac8c54877bd2.json b/data/hfopenllm_v2/migtissera/Tess-3-7B-SFT/cc99f18f-e75c-4cd1-a466-ac8c54877bd2.json
deleted file mode 100644
index 4eeda3c6f..000000000
--- a/data/hfopenllm_v2/migtissera/Tess-3-7B-SFT/cc99f18f-e75c-4cd1-a466-ac8c54877bd2.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "source_metadata": {
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "migtissera/Tess-3-7B-SFT",
-    "developer": "migtissera",
-    "inference_platform": "unknown",
-    "id": "migtissera/Tess-3-7B-SFT",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.248
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    {
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-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
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-        "max_score": 1
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-    {
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-        "lower_is_better": false,
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-        "min_score": 0,
-        "max_score": 1
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-        "score": 0.2709731543624161
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-    },
-    {
-      "evaluation_name": "MUSR",
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-}
diff --git a/data/hfopenllm_v2/migtissera/Tess-3-Mistral-Nemo-12B/b1103662-055c-471e-ace8-dd75f607491d.json b/data/hfopenllm_v2/migtissera/Tess-3-Mistral-Nemo-12B/b1103662-055c-471e-ace8-dd75f607491d.json
new file mode 100644
index 000000000..ada1e45ae
--- /dev/null
+++ b/data/hfopenllm_v2/migtissera/Tess-3-Mistral-Nemo-12B/b1103662-055c-471e-ace8-dd75f607491d.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/migtissera_Tess-3-Mistral-Nemo-12B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Tess-3-Mistral-Nemo-12B",
+    "id": "migtissera/Tess-3-Mistral-Nemo-12B",
+    "developer": "migtissera",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 12.248
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+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3355
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+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4899
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+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+      "score_details": {
+        "score": 0.0574
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+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2508
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4458
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2565
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/migtissera/Tess-v2.5-Phi-3-medium-128k-14B/27b0d675-498f-4351-b92f-7c0d1a3c83bd.json b/data/hfopenllm_v2/migtissera/Tess-v2.5-Phi-3-medium-128k-14B/27b0d675-498f-4351-b92f-7c0d1a3c83bd.json
new file mode 100644
index 000000000..81b7d3cb0
--- /dev/null
+++ b/data/hfopenllm_v2/migtissera/Tess-v2.5-Phi-3-medium-128k-14B/27b0d675-498f-4351-b92f-7c0d1a3c83bd.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/migtissera_Tess-v2.5-Phi-3-medium-128k-14B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Tess-v2.5-Phi-3-medium-128k-14B",
+    "id": "migtissera/Tess-v2.5-Phi-3-medium-128k-14B",
+    "developer": "migtissera",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Phi3ForCausalLM",
+      "params_billions": 13.96
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4539
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6207
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0506
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3079
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4113
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3732
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/migtissera/Tess-v2.5.2-Qwen2-72B/3f1f88d4-2908-4f28-b8d3-4f9ded18ba0e.json b/data/hfopenllm_v2/migtissera/Tess-v2.5.2-Qwen2-72B/3f1f88d4-2908-4f28-b8d3-4f9ded18ba0e.json
new file mode 100644
index 000000000..82ec5a874
--- /dev/null
+++ b/data/hfopenllm_v2/migtissera/Tess-v2.5.2-Qwen2-72B/3f1f88d4-2908-4f28-b8d3-4f9ded18ba0e.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/migtissera_Tess-v2.5.2-Qwen2-72B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Tess-v2.5.2-Qwen2-72B",
+    "id": "migtissera/Tess-v2.5.2-Qwen2-72B",
+    "developer": "migtissera",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 72.0
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4494
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6647
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2938
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3507
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4188
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5561
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/migtissera/Trinity-2-Codestral-22B-v0.2/3883b0d3-e442-42d3-adc6-ed959c902dd3.json b/data/hfopenllm_v2/migtissera/Trinity-2-Codestral-22B-v0.2/3883b0d3-e442-42d3-adc6-ed959c902dd3.json
new file mode 100644
index 000000000..3c3025654
--- /dev/null
+++ b/data/hfopenllm_v2/migtissera/Trinity-2-Codestral-22B-v0.2/3883b0d3-e442-42d3-adc6-ed959c902dd3.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/migtissera_Trinity-2-Codestral-22B-v0.2/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Trinity-2-Codestral-22B-v0.2",
+    "id": "migtissera/Trinity-2-Codestral-22B-v0.2",
+    "developer": "migtissera",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 22.247
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4345
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5686
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0838
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3003
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4045
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.334
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/migtissera/Trinity-2-Codestral-22B-v0.2/7320b12a-7511-441d-9d56-f7e713af4470.json b/data/hfopenllm_v2/migtissera/Trinity-2-Codestral-22B-v0.2/7320b12a-7511-441d-9d56-f7e713af4470.json
deleted file mode 100644
index 615df3750..000000000
--- a/data/hfopenllm_v2/migtissera/Trinity-2-Codestral-22B-v0.2/7320b12a-7511-441d-9d56-f7e713af4470.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/migtissera_Trinity-2-Codestral-22B-v0.2/1762652580.3597598",
-  "retrieved_timestamp": "1762652580.359761",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "migtissera/Trinity-2-Codestral-22B-v0.2",
-    "developer": "migtissera",
-    "inference_platform": "unknown",
-    "id": "migtissera/Trinity-2-Codestral-22B-v0.2",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 22.247
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.43446832183052075
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5686364683055418
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.08383685800604229
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30033557046979864
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.40447916666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.33402593085106386
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/migtissera/Trinity-2-Codestral-22B-v0.2/a18b3d46-7e65-4cb3-b7e5-12b86f34a572.json b/data/hfopenllm_v2/migtissera/Trinity-2-Codestral-22B-v0.2/a18b3d46-7e65-4cb3-b7e5-12b86f34a572.json
deleted file mode 100644
index 8f0138eb0..000000000
--- a/data/hfopenllm_v2/migtissera/Trinity-2-Codestral-22B-v0.2/a18b3d46-7e65-4cb3-b7e5-12b86f34a572.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/migtissera_Trinity-2-Codestral-22B-v0.2/1762652580.359978",
-  "retrieved_timestamp": "1762652580.359979",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "migtissera/Trinity-2-Codestral-22B-v0.2",
-    "developer": "migtissera",
-    "inference_platform": "unknown",
-    "id": "migtissera/Trinity-2-Codestral-22B-v0.2",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 22.247
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.44301121025545553
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5706466356198404
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-    },
-    {
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diff --git a/data/hfopenllm_v2/migtissera/Trinity-2-Codestral-22B-v0.2/da172cdb-1388-42f5-97b1-ae8e15291631.json b/data/hfopenllm_v2/migtissera/Trinity-2-Codestral-22B-v0.2/da172cdb-1388-42f5-97b1-ae8e15291631.json
new file mode 100644
index 000000000..5c049da80
--- /dev/null
+++ b/data/hfopenllm_v2/migtissera/Trinity-2-Codestral-22B-v0.2/da172cdb-1388-42f5-97b1-ae8e15291631.json
@@ -0,0 +1,132 @@
+{
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+  "evaluation_id": "hfopenllm_v2/migtissera_Trinity-2-Codestral-22B-v0.2/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Trinity-2-Codestral-22B-v0.2",
+    "id": "migtissera/Trinity-2-Codestral-22B-v0.2",
+    "developer": "migtissera",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 22.247
+    }
+  },
+  "evaluation_results": [
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "max_score": 1.0
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+      "score_details": {
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+    },
+    {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
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+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
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+        "hf_repo": "TAUR-Lab/MuSR"
+      },
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+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+    },
+    {
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+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "max_score": 1.0
+      },
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+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/migtissera/Trinity-2-Codestral-22B/7c94dbfa-4b3a-43fd-9f2c-b3d63d8ef700.json b/data/hfopenllm_v2/migtissera/Trinity-2-Codestral-22B/7c94dbfa-4b3a-43fd-9f2c-b3d63d8ef700.json
new file mode 100644
index 000000000..186299b68
--- /dev/null
+++ b/data/hfopenllm_v2/migtissera/Trinity-2-Codestral-22B/7c94dbfa-4b3a-43fd-9f2c-b3d63d8ef700.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/migtissera_Trinity-2-Codestral-22B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Trinity-2-Codestral-22B",
+    "id": "migtissera/Trinity-2-Codestral-22B",
+    "developer": "migtissera",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 22.247
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5593
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+      }
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+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3308
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/migtissera/Trinity-2-Codestral-22B/e075cb71-eaae-46e0-917b-bf84482f76c9.json b/data/hfopenllm_v2/migtissera/Trinity-2-Codestral-22B/e075cb71-eaae-46e0-917b-bf84482f76c9.json
deleted file mode 100644
index dfecc3f2a..000000000
--- a/data/hfopenllm_v2/migtissera/Trinity-2-Codestral-22B/e075cb71-eaae-46e0-917b-bf84482f76c9.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
-    "name": "migtissera/Trinity-2-Codestral-22B",
-    "developer": "migtissera",
-    "inference_platform": "unknown",
-    "id": "migtissera/Trinity-2-Codestral-22B",
-    "additional_details": {
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-      "params_billions": 22.247
-    }
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-      "score_details": {
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diff --git a/data/hfopenllm_v2/mindw96/DeepSeek-llama3.3-Bllossom-8B-DACON-LLM3/7cdd1de0-767d-4527-a024-c67166bb8b20.json b/data/hfopenllm_v2/mindw96/DeepSeek-llama3.3-Bllossom-8B-DACON-LLM3/7cdd1de0-767d-4527-a024-c67166bb8b20.json
new file mode 100644
index 000000000..036d983ff
--- /dev/null
+++ b/data/hfopenllm_v2/mindw96/DeepSeek-llama3.3-Bllossom-8B-DACON-LLM3/7cdd1de0-767d-4527-a024-c67166bb8b20.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/mindw96_DeepSeek-llama3.3-Bllossom-8B-DACON-LLM3/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "DeepSeek-llama3.3-Bllossom-8B-DACON-LLM3",
+    "id": "mindw96/DeepSeek-llama3.3-Bllossom-8B-DACON-LLM3",
+    "developer": "mindw96",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1388
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3068
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0083
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2508
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3792
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1106
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/minghaowu/Qwen1.5-1.8B-OpenHermes-2.5/d4702278-54c4-42e8-a901-dfe5c7f2004a.json b/data/hfopenllm_v2/minghaowu/Qwen1.5-1.8B-OpenHermes-2.5/d4702278-54c4-42e8-a901-dfe5c7f2004a.json
new file mode 100644
index 000000000..fb2414062
--- /dev/null
+++ b/data/hfopenllm_v2/minghaowu/Qwen1.5-1.8B-OpenHermes-2.5/d4702278-54c4-42e8-a901-dfe5c7f2004a.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/minghaowu_Qwen1.5-1.8B-OpenHermes-2.5/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen1.5-1.8B-OpenHermes-2.5",
+    "id": "minghaowu/Qwen1.5-1.8B-OpenHermes-2.5",
+    "developer": "minghaowu",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 1.837
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2778
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3375
+      }
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+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/ministral/Ministral-3b-instruct/149f8ee5-4376-4fcc-8f87-7412a3083570.json b/data/hfopenllm_v2/ministral/Ministral-3b-instruct/149f8ee5-4376-4fcc-8f87-7412a3083570.json
new file mode 100644
index 000000000..d2bace4f0
--- /dev/null
+++ b/data/hfopenllm_v2/ministral/Ministral-3b-instruct/149f8ee5-4376-4fcc-8f87-7412a3083570.json
@@ -0,0 +1,132 @@
+{
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+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
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+        "evaluation_description": "Exact Match on MATH Level 5",
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+      },
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+        "evaluation_description": "Accuracy on MMLU-PRO",
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+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/ministral/Ministral-3b-instruct/83b6f014-f8a0-4e69-ae60-cc3a7aeaaf1c.json b/data/hfopenllm_v2/ministral/Ministral-3b-instruct/83b6f014-f8a0-4e69-ae60-cc3a7aeaaf1c.json
deleted file mode 100644
index a9d55af08..000000000
--- a/data/hfopenllm_v2/ministral/Ministral-3b-instruct/83b6f014-f8a0-4e69-ae60-cc3a7aeaaf1c.json
+++ /dev/null
@@ -1,105 +0,0 @@
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-    "developer": "ministral",
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-    "id": "ministral/Ministral-3b-instruct",
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-}
diff --git a/data/hfopenllm_v2/mistral-community/Mistral-7B-v0.2/de82b746-c5d7-450a-bc2b-1b2859d91d6b.json b/data/hfopenllm_v2/mistral-community/Mistral-7B-v0.2/de82b746-c5d7-450a-bc2b-1b2859d91d6b.json
new file mode 100644
index 000000000..0f1e81e70
--- /dev/null
+++ b/data/hfopenllm_v2/mistral-community/Mistral-7B-v0.2/de82b746-c5d7-450a-bc2b-1b2859d91d6b.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/mistral-community_Mistral-7B-v0.2/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
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+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
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+  "model_info": {
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+    "id": "mistral-community/Mistral-7B-v0.2",
+    "developer": "mistral-community",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
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+  },
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
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+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
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+      },
+      "score_details": {
+        "score": 0.2266
+      }
+    },
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2919
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4032
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2953
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/mistral-community/Mixtral-8x22B-v0.1/d2a916a6-288a-4761-a3fd-ca674edb67c1.json b/data/hfopenllm_v2/mistral-community/Mixtral-8x22B-v0.1/d2a916a6-288a-4761-a3fd-ca674edb67c1.json
new file mode 100644
index 000000000..944c1169a
--- /dev/null
+++ b/data/hfopenllm_v2/mistral-community/Mixtral-8x22B-v0.1/d2a916a6-288a-4761-a3fd-ca674edb67c1.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/mistral-community_Mixtral-8x22B-v0.1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
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+  "model_info": {
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+    "id": "mistral-community/Mixtral-8x22B-v0.1",
+    "developer": "mistral-community",
+    "inference_platform": "unknown",
+    "additional_details": {
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+      "architecture": "Unknown",
+      "params_billions": 0.0
+    }
+  },
+  "evaluation_results": [
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+        "source_type": "hf_dataset",
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+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.38
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+    },
+    {
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+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+    {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
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+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.36
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/mistral-community/mixtral-8x22B-v0.3/cda497f9-c7f9-48d6-944b-0167476e5e5c.json b/data/hfopenllm_v2/mistral-community/mixtral-8x22B-v0.3/cda497f9-c7f9-48d6-944b-0167476e5e5c.json
new file mode 100644
index 000000000..036d6208b
--- /dev/null
+++ b/data/hfopenllm_v2/mistral-community/mixtral-8x22B-v0.3/cda497f9-c7f9-48d6-944b-0167476e5e5c.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/mistral-community_mixtral-8x22B-v0.3/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
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+    "id": "mistral-community/mixtral-8x22B-v0.3",
+    "developer": "mistral-community",
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+        "evaluation_description": "Accuracy on IFEval",
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+        "score_type": "continuous",
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+        "max_score": 1.0
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+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.625
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1835
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3775
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4037
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4639
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/mistral/Corianas/Neural-Mistral-7B/4fb7a806-1176-474e-a039-b388f050cd45.json b/data/hfopenllm_v2/mistral/Corianas/Neural-Mistral-7B/4fb7a806-1176-474e-a039-b388f050cd45.json
deleted file mode 100644
index 2dbe64db1..000000000
--- a/data/hfopenllm_v2/mistral/Corianas/Neural-Mistral-7B/4fb7a806-1176-474e-a039-b388f050cd45.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Corianas_Neural-Mistral-7B/1762652579.511706",
-  "retrieved_timestamp": "1762652579.5117068",
-  "source_data": [
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "Corianas/Neural-Mistral-7B",
-    "developer": "mistral",
-    "inference_platform": "unknown",
-    "id": "Corianas/Neural-Mistral-7B",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
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-        "score_type": "continuous",
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-        "score_type": "continuous",
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-        "lower_is_better": false,
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-        "lower_is_better": false,
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-        "lower_is_better": false,
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-        "min_score": 0,
-        "max_score": 1
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diff --git a/data/hfopenllm_v2/mistral/Dans-DiscountModels/Mistral-7b-v0.3-Test-E0.7/393f8623-7f38-4aaa-a460-cbdcb74c2d04.json b/data/hfopenllm_v2/mistral/Dans-DiscountModels/Mistral-7b-v0.3-Test-E0.7/393f8623-7f38-4aaa-a460-cbdcb74c2d04.json
deleted file mode 100644
index 55f388252..000000000
--- a/data/hfopenllm_v2/mistral/Dans-DiscountModels/Mistral-7b-v0.3-Test-E0.7/393f8623-7f38-4aaa-a460-cbdcb74c2d04.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/Dans-DiscountModels_Mistral-7b-v0.3-Test-E0.7/1762652579.536513",
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
-    "name": "Dans-DiscountModels/Mistral-7b-v0.3-Test-E0.7",
-    "developer": "mistral",
-    "inference_platform": "unknown",
-    "id": "Dans-DiscountModels/Mistral-7b-v0.3-Test-E0.7",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.0
-    }
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-    {
-      "evaluation_name": "IFEval",
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-        "score_type": "continuous",
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
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-        "score_type": "continuous",
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-      "evaluation_name": "MMLU-PRO",
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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diff --git a/data/hfopenllm_v2/mistral/Dans-DiscountModels/mistral-7b-test-merged/5ba7e296-cdd3-40e8-b56f-cc44ef0c3dcb.json b/data/hfopenllm_v2/mistral/Dans-DiscountModels/mistral-7b-test-merged/5ba7e296-cdd3-40e8-b56f-cc44ef0c3dcb.json
deleted file mode 100644
index 7bac3870e..000000000
--- a/data/hfopenllm_v2/mistral/Dans-DiscountModels/mistral-7b-test-merged/5ba7e296-cdd3-40e8-b56f-cc44ef0c3dcb.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/Dans-DiscountModels_mistral-7b-test-merged/1762652579.536763",
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-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
-    "name": "Dans-DiscountModels/mistral-7b-test-merged",
-    "developer": "mistral",
-    "inference_platform": "unknown",
-    "id": "Dans-DiscountModels/mistral-7b-test-merged",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
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-        "score_type": "continuous",
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-      "evaluation_name": "MMLU-PRO",
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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diff --git a/data/hfopenllm_v2/mistral/DreadPoor/felix_dies-mistral-7B-model_stock/0444a153-1852-4a0d-959e-750c933777bd.json b/data/hfopenllm_v2/mistral/DreadPoor/felix_dies-mistral-7B-model_stock/0444a153-1852-4a0d-959e-750c933777bd.json
deleted file mode 100644
index 71fe42bc1..000000000
--- a/data/hfopenllm_v2/mistral/DreadPoor/felix_dies-mistral-7B-model_stock/0444a153-1852-4a0d-959e-750c933777bd.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "source_data": [
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
-    "name": "DreadPoor/felix_dies-mistral-7B-model_stock",
-    "developer": "mistral",
-    "inference_platform": "unknown",
-    "id": "DreadPoor/felix_dies-mistral-7B-model_stock",
-    "additional_details": {
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-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
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diff --git a/data/hfopenllm_v2/mistral/EpistemeAI2/Fireball-MathMistral-Nemo-Base-2407-v2dpo/b798f31f-5fab-4f21-8689-fe832afb873b.json b/data/hfopenllm_v2/mistral/EpistemeAI2/Fireball-MathMistral-Nemo-Base-2407-v2dpo/b798f31f-5fab-4f21-8689-fe832afb873b.json
deleted file mode 100644
index 51e75eba1..000000000
--- a/data/hfopenllm_v2/mistral/EpistemeAI2/Fireball-MathMistral-Nemo-Base-2407-v2dpo/b798f31f-5fab-4f21-8689-fe832afb873b.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
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diff --git a/data/hfopenllm_v2/mistral/FuJhen/mistral_7b_v0.1_structedData_e2e/3ba2b06b-b44a-4ad6-bf38-f1602995c2f9.json b/data/hfopenllm_v2/mistral/FuJhen/mistral_7b_v0.1_structedData_e2e/3ba2b06b-b44a-4ad6-bf38-f1602995c2f9.json
deleted file mode 100644
index 6ff3b094d..000000000
--- a/data/hfopenllm_v2/mistral/FuJhen/mistral_7b_v0.1_structedData_e2e/3ba2b06b-b44a-4ad6-bf38-f1602995c2f9.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/mistral/FuJhen/mistral_7b_v0.1_structedData_viggo/3008b476-f005-4672-a953-c86b29ba3ef2.json b/data/hfopenllm_v2/mistral/FuJhen/mistral_7b_v0.1_structedData_viggo/3008b476-f005-4672-a953-c86b29ba3ef2.json
deleted file mode 100644
index db8b2c1b3..000000000
--- a/data/hfopenllm_v2/mistral/FuJhen/mistral_7b_v0.1_structedData_viggo/3008b476-f005-4672-a953-c86b29ba3ef2.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/mistral/Locutusque/TinyMistral-248M-v2.5/9a3f7863-0041-4473-b3f0-ad25f0d9310f.json b/data/hfopenllm_v2/mistral/Locutusque/TinyMistral-248M-v2.5/9a3f7863-0041-4473-b3f0-ad25f0d9310f.json
deleted file mode 100644
index 687f41dc2..000000000
--- a/data/hfopenllm_v2/mistral/Locutusque/TinyMistral-248M-v2.5/9a3f7863-0041-4473-b3f0-ad25f0d9310f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/mistral/M4-ai/TinyMistral-248M-v3/830423e1-ec14-4477-8c82-8516bb8e954f.json b/data/hfopenllm_v2/mistral/M4-ai/TinyMistral-248M-v3/830423e1-ec14-4477-8c82-8516bb8e954f.json
deleted file mode 100644
index ba2af7d04..000000000
--- a/data/hfopenllm_v2/mistral/M4-ai/TinyMistral-248M-v3/830423e1-ec14-4477-8c82-8516bb8e954f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/mistral/Marsouuu/MistralBase-4x7B-MoE-ECE-PRYMMAL-Martial/5cd26359-d15a-4d0b-92f1-c31101e7b993.json b/data/hfopenllm_v2/mistral/Marsouuu/MistralBase-4x7B-MoE-ECE-PRYMMAL-Martial/5cd26359-d15a-4d0b-92f1-c31101e7b993.json
deleted file mode 100644
index d699af57e..000000000
--- a/data/hfopenllm_v2/mistral/Marsouuu/MistralBase-4x7B-MoE-ECE-PRYMMAL-Martial/5cd26359-d15a-4d0b-92f1-c31101e7b993.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/mistral/NousResearch/DeepHermes-3-Mistral-24B-Preview/b1f439ee-711a-41b8-b63d-dd28cb63266e.json b/data/hfopenllm_v2/mistral/NousResearch/DeepHermes-3-Mistral-24B-Preview/b1f439ee-711a-41b8-b63d-dd28cb63266e.json
deleted file mode 100644
index 46318925e..000000000
--- a/data/hfopenllm_v2/mistral/NousResearch/DeepHermes-3-Mistral-24B-Preview/b1f439ee-711a-41b8-b63d-dd28cb63266e.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/mistral/NousResearch/Hermes-2-Pro-Mistral-7B/b8d954d0-a820-4927-a7f8-b0083cf9db9c.json b/data/hfopenllm_v2/mistral/NousResearch/Hermes-2-Pro-Mistral-7B/b8d954d0-a820-4927-a7f8-b0083cf9db9c.json
deleted file mode 100644
index 3d4986c51..000000000
--- a/data/hfopenllm_v2/mistral/NousResearch/Hermes-2-Pro-Mistral-7B/b8d954d0-a820-4927-a7f8-b0083cf9db9c.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/mistral/NousResearch/Yarn-Mistral-7b-128k/c6411eb6-8304-49e6-ac7b-5300deb27c55.json b/data/hfopenllm_v2/mistral/NousResearch/Yarn-Mistral-7b-128k/c6411eb6-8304-49e6-ac7b-5300deb27c55.json
deleted file mode 100644
index f3740d5f3..000000000
--- a/data/hfopenllm_v2/mistral/NousResearch/Yarn-Mistral-7b-128k/c6411eb6-8304-49e6-ac7b-5300deb27c55.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/mistral/NousResearch/Yarn-Mistral-7b-64k/c7fcd944-78ab-422d-b0ef-8dc394266473.json b/data/hfopenllm_v2/mistral/NousResearch/Yarn-Mistral-7b-64k/c7fcd944-78ab-422d-b0ef-8dc394266473.json
deleted file mode 100644
index f0adcd4ac..000000000
--- a/data/hfopenllm_v2/mistral/NousResearch/Yarn-Mistral-7b-64k/c7fcd944-78ab-422d-b0ef-8dc394266473.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/mistral/Open-Orca/Mistral-7B-OpenOrca/c6e0aa8c-8765-4e2f-a6b2-cdeb885d29a4.json b/data/hfopenllm_v2/mistral/Open-Orca/Mistral-7B-OpenOrca/c6e0aa8c-8765-4e2f-a6b2-cdeb885d29a4.json
deleted file mode 100644
index 486785803..000000000
--- a/data/hfopenllm_v2/mistral/Open-Orca/Mistral-7B-OpenOrca/c6e0aa8c-8765-4e2f-a6b2-cdeb885d29a4.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/mistral/PranavHarshan/LaMistral-V4/21944667-04e0-46dc-9896-eef32c26fa6b.json b/data/hfopenllm_v2/mistral/PranavHarshan/LaMistral-V4/21944667-04e0-46dc-9896-eef32c26fa6b.json
deleted file mode 100644
index 03cfeb98d..000000000
--- a/data/hfopenllm_v2/mistral/PranavHarshan/LaMistral-V4/21944667-04e0-46dc-9896-eef32c26fa6b.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/mistral/Pretergeek/openchat-3.5-0106_Rebased_Mistral-7B-v0.2/56d07a1f-1f1f-4559-b57d-bee3bf884860.json b/data/hfopenllm_v2/mistral/Pretergeek/openchat-3.5-0106_Rebased_Mistral-7B-v0.2/56d07a1f-1f1f-4559-b57d-bee3bf884860.json
deleted file mode 100644
index c717acd63..000000000
--- a/data/hfopenllm_v2/mistral/Pretergeek/openchat-3.5-0106_Rebased_Mistral-7B-v0.2/56d07a1f-1f1f-4559-b57d-bee3bf884860.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/mistral/TTTXXX01/Mistral-7B-Base-SimPO2-5e-7/062d38c7-07e6-4f71-a7a3-e40a187b6f77.json b/data/hfopenllm_v2/mistral/TTTXXX01/Mistral-7B-Base-SimPO2-5e-7/062d38c7-07e6-4f71-a7a3-e40a187b6f77.json
deleted file mode 100644
index 7994ea1ef..000000000
--- a/data/hfopenllm_v2/mistral/TTTXXX01/Mistral-7B-Base-SimPO2-5e-7/062d38c7-07e6-4f71-a7a3-e40a187b6f77.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/mistral/TencentARC/MetaMath-Mistral-Pro/c2274449-ebc7-4e53-94bf-82e1f6810f6b.json b/data/hfopenllm_v2/mistral/TencentARC/MetaMath-Mistral-Pro/c2274449-ebc7-4e53-94bf-82e1f6810f6b.json
deleted file mode 100644
index 78bb78b70..000000000
--- a/data/hfopenllm_v2/mistral/TencentARC/MetaMath-Mistral-Pro/c2274449-ebc7-4e53-94bf-82e1f6810f6b.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/mistral/TencentARC/Mistral_Pro_8B_v0.1/07ac72af-fa7e-4fe2-8a67-e893edbbd206.json b/data/hfopenllm_v2/mistral/TencentARC/Mistral_Pro_8B_v0.1/07ac72af-fa7e-4fe2-8a67-e893edbbd206.json
deleted file mode 100644
index dcb2cd2bb..000000000
--- a/data/hfopenllm_v2/mistral/TencentARC/Mistral_Pro_8B_v0.1/07ac72af-fa7e-4fe2-8a67-e893edbbd206.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/mistral/Triangle104/Mistral-Redemption-Arc/189f08b4-7e58-4820-9ff7-bcea4530e3dd.json b/data/hfopenllm_v2/mistral/Triangle104/Mistral-Redemption-Arc/189f08b4-7e58-4820-9ff7-bcea4530e3dd.json
deleted file mode 100644
index bf1dbc730..000000000
--- a/data/hfopenllm_v2/mistral/Triangle104/Mistral-Redemption-Arc/189f08b4-7e58-4820-9ff7-bcea4530e3dd.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/mistral/Triangle104/Mistral-Small-24b-Harmony/e8d645e6-8ec4-4c0c-8cf2-8aa7e126e1f1.json b/data/hfopenllm_v2/mistral/Triangle104/Mistral-Small-24b-Harmony/e8d645e6-8ec4-4c0c-8cf2-8aa7e126e1f1.json
deleted file mode 100644
index 43bc47611..000000000
--- a/data/hfopenllm_v2/mistral/Triangle104/Mistral-Small-24b-Harmony/e8d645e6-8ec4-4c0c-8cf2-8aa7e126e1f1.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/mistral/UCLA-AGI/Mistral7B-PairRM-SPPO-Iter1/01c4d932-bdcf-4840-83cb-e441585d70e2.json b/data/hfopenllm_v2/mistral/UCLA-AGI/Mistral7B-PairRM-SPPO-Iter1/01c4d932-bdcf-4840-83cb-e441585d70e2.json
deleted file mode 100644
index 93a4dac45..000000000
--- a/data/hfopenllm_v2/mistral/UCLA-AGI/Mistral7B-PairRM-SPPO-Iter1/01c4d932-bdcf-4840-83cb-e441585d70e2.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/mistral/UCLA-AGI/Mistral7B-PairRM-SPPO-Iter2/b0e6d5e1-3f41-4dfc-8845-b6d028820816.json b/data/hfopenllm_v2/mistral/UCLA-AGI/Mistral7B-PairRM-SPPO-Iter2/b0e6d5e1-3f41-4dfc-8845-b6d028820816.json
deleted file mode 100644
index c2436fc71..000000000
--- a/data/hfopenllm_v2/mistral/UCLA-AGI/Mistral7B-PairRM-SPPO-Iter2/b0e6d5e1-3f41-4dfc-8845-b6d028820816.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/mistral/UCLA-AGI/Mistral7B-PairRM-SPPO-Iter3/66cc8076-71be-43fc-9efb-edd8ad19a6b6.json b/data/hfopenllm_v2/mistral/UCLA-AGI/Mistral7B-PairRM-SPPO-Iter3/66cc8076-71be-43fc-9efb-edd8ad19a6b6.json
deleted file mode 100644
index c869d4666..000000000
--- a/data/hfopenllm_v2/mistral/UCLA-AGI/Mistral7B-PairRM-SPPO-Iter3/66cc8076-71be-43fc-9efb-edd8ad19a6b6.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/mistral/UCLA-AGI/Mistral7B-PairRM-SPPO/01613adc-1206-4695-ae19-31f2b7ee0d9d.json b/data/hfopenllm_v2/mistral/UCLA-AGI/Mistral7B-PairRM-SPPO/01613adc-1206-4695-ae19-31f2b7ee0d9d.json
deleted file mode 100644
index f54ddfd48..000000000
--- a/data/hfopenllm_v2/mistral/UCLA-AGI/Mistral7B-PairRM-SPPO/01613adc-1206-4695-ae19-31f2b7ee0d9d.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/mistral/Unbabel/TowerInstruct-Mistral-7B-v0.2/cc6d8d11-2273-41fa-95eb-5d1f7d4a2311.json b/data/hfopenllm_v2/mistral/Unbabel/TowerInstruct-Mistral-7B-v0.2/cc6d8d11-2273-41fa-95eb-5d1f7d4a2311.json
deleted file mode 100644
index ef9a3f570..000000000
--- a/data/hfopenllm_v2/mistral/Unbabel/TowerInstruct-Mistral-7B-v0.2/cc6d8d11-2273-41fa-95eb-5d1f7d4a2311.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/mistral/allknowingroger/Mistralmash1-7B-s/c5e7d08d-4430-43f6-a293-5381b2f13ca6.json b/data/hfopenllm_v2/mistral/allknowingroger/Mistralmash1-7B-s/c5e7d08d-4430-43f6-a293-5381b2f13ca6.json
deleted file mode 100644
index 1b298e9d5..000000000
--- a/data/hfopenllm_v2/mistral/allknowingroger/Mistralmash1-7B-s/c5e7d08d-4430-43f6-a293-5381b2f13ca6.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/mistral/allknowingroger/Mistralmash2-7B-s/7a9d4b20-e704-4f50-a09b-ccb67d417824.json b/data/hfopenllm_v2/mistral/allknowingroger/Mistralmash2-7B-s/7a9d4b20-e704-4f50-a09b-ccb67d417824.json
deleted file mode 100644
index c69580634..000000000
--- a/data/hfopenllm_v2/mistral/allknowingroger/Mistralmash2-7B-s/7a9d4b20-e704-4f50-a09b-ccb67d417824.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/mistral/allura-org/Mistral-Small-24b-Sertraline-0304/34f35618-3ecf-4704-ab7a-ec9e8a5d08c1.json b/data/hfopenllm_v2/mistral/allura-org/Mistral-Small-24b-Sertraline-0304/34f35618-3ecf-4704-ab7a-ec9e8a5d08c1.json
deleted file mode 100644
index 05ba26fe1..000000000
--- a/data/hfopenllm_v2/mistral/allura-org/Mistral-Small-24b-Sertraline-0304/34f35618-3ecf-4704-ab7a-ec9e8a5d08c1.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/mistral/allura-org/Mistral-Small-Sisyphus-24b-2503/ce2ee38f-cb48-403f-894d-f2824d00a388.json b/data/hfopenllm_v2/mistral/allura-org/Mistral-Small-Sisyphus-24b-2503/ce2ee38f-cb48-403f-894d-f2824d00a388.json
deleted file mode 100644
index 4ffe53343..000000000
--- a/data/hfopenllm_v2/mistral/allura-org/Mistral-Small-Sisyphus-24b-2503/ce2ee38f-cb48-403f-894d-f2824d00a388.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/mistral/amazon/MegaBeam-Mistral-7B-300k/4729a245-9e2d-4f65-bf14-67db4bb2590f.json b/data/hfopenllm_v2/mistral/amazon/MegaBeam-Mistral-7B-300k/4729a245-9e2d-4f65-bf14-67db4bb2590f.json
deleted file mode 100644
index cb20f261b..000000000
--- a/data/hfopenllm_v2/mistral/amazon/MegaBeam-Mistral-7B-300k/4729a245-9e2d-4f65-bf14-67db4bb2590f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/mistral/awnr/Mistral-7B-v0.1-signtensors-1-over-2/3bccbf0f-e578-426d-93bc-84364f7d8017.json b/data/hfopenllm_v2/mistral/awnr/Mistral-7B-v0.1-signtensors-1-over-2/3bccbf0f-e578-426d-93bc-84364f7d8017.json
deleted file mode 100644
index e2046fd4c..000000000
--- a/data/hfopenllm_v2/mistral/awnr/Mistral-7B-v0.1-signtensors-1-over-2/3bccbf0f-e578-426d-93bc-84364f7d8017.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/mistral/awnr/Mistral-7B-v0.1-signtensors-1-over-4/ac1010e3-b3d8-4b61-ba79-0dcedb68619d.json b/data/hfopenllm_v2/mistral/awnr/Mistral-7B-v0.1-signtensors-1-over-4/ac1010e3-b3d8-4b61-ba79-0dcedb68619d.json
deleted file mode 100644
index 078496090..000000000
--- a/data/hfopenllm_v2/mistral/awnr/Mistral-7B-v0.1-signtensors-1-over-4/ac1010e3-b3d8-4b61-ba79-0dcedb68619d.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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deleted file mode 100644
index 77aadb582..000000000
--- a/data/hfopenllm_v2/mistral/awnr/Mistral-7B-v0.1-signtensors-3-over-8/12f4db59-10fe-47d0-86df-343ea8978249.json
+++ /dev/null
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deleted file mode 100644
index 3741c162a..000000000
--- a/data/hfopenllm_v2/mistral/awnr/Mistral-7B-v0.1-signtensors-5-over-16/b0ae93c7-b251-42df-a67f-ca8b8a865937.json
+++ /dev/null
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diff --git a/data/hfopenllm_v2/mistral/awnr/Mistral-7B-v0.1-signtensors-7-over-16/893da954-ca56-42ab-914d-44fbc4a6f1ff.json b/data/hfopenllm_v2/mistral/awnr/Mistral-7B-v0.1-signtensors-7-over-16/893da954-ca56-42ab-914d-44fbc4a6f1ff.json
deleted file mode 100644
index 16aeae24a..000000000
--- a/data/hfopenllm_v2/mistral/awnr/Mistral-7B-v0.1-signtensors-7-over-16/893da954-ca56-42ab-914d-44fbc4a6f1ff.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/mistral/aws-prototyping/MegaBeam-Mistral-7B-512k/f05d6512-16ca-4f44-a31f-392f8f71da74.json b/data/hfopenllm_v2/mistral/aws-prototyping/MegaBeam-Mistral-7B-512k/f05d6512-16ca-4f44-a31f-392f8f71da74.json
deleted file mode 100644
index 556c10b47..000000000
--- a/data/hfopenllm_v2/mistral/aws-prototyping/MegaBeam-Mistral-7B-512k/f05d6512-16ca-4f44-a31f-392f8f71da74.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/mistral/axolotl-ai-co/romulus-mistral-nemo-12b-simpo/3f48c9eb-dbfa-4035-96a6-d4f516fa1e80.json b/data/hfopenllm_v2/mistral/axolotl-ai-co/romulus-mistral-nemo-12b-simpo/3f48c9eb-dbfa-4035-96a6-d4f516fa1e80.json
deleted file mode 100644
index 37b9943d3..000000000
--- a/data/hfopenllm_v2/mistral/axolotl-ai-co/romulus-mistral-nemo-12b-simpo/3f48c9eb-dbfa-4035-96a6-d4f516fa1e80.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/mistral/bamec66557/Mistral-Nemo-VICIOUS_MESH-12B-2407/9cd84a08-1f21-42ad-b8c0-eeb2df93ee29.json b/data/hfopenllm_v2/mistral/bamec66557/Mistral-Nemo-VICIOUS_MESH-12B-2407/9cd84a08-1f21-42ad-b8c0-eeb2df93ee29.json
deleted file mode 100644
index 8159c6cba..000000000
--- a/data/hfopenllm_v2/mistral/bamec66557/Mistral-Nemo-VICIOUS_MESH-12B-2407/9cd84a08-1f21-42ad-b8c0-eeb2df93ee29.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/mistral/cckm/tinymistral_950m/d0dbcd95-252f-46e0-9699-81b293cb7db5.json b/data/hfopenllm_v2/mistral/cckm/tinymistral_950m/d0dbcd95-252f-46e0-9699-81b293cb7db5.json
deleted file mode 100644
index e5fa1327d..000000000
--- a/data/hfopenllm_v2/mistral/cckm/tinymistral_950m/d0dbcd95-252f-46e0-9699-81b293cb7db5.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/mistral/chujiezheng/Mistral7B-PairRM-SPPO-ExPO/d7e88fea-5c3d-4b9c-85a9-a0cf35a97ea0.json b/data/hfopenllm_v2/mistral/chujiezheng/Mistral7B-PairRM-SPPO-ExPO/d7e88fea-5c3d-4b9c-85a9-a0cf35a97ea0.json
deleted file mode 100644
index 7ab777902..000000000
--- a/data/hfopenllm_v2/mistral/chujiezheng/Mistral7B-PairRM-SPPO-ExPO/d7e88fea-5c3d-4b9c-85a9-a0cf35a97ea0.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/mistral/flammenai/Mahou-1.2a-mistral-7B/d9804b0c-37db-492f-a1ba-851137e697f0.json b/data/hfopenllm_v2/mistral/flammenai/Mahou-1.2a-mistral-7B/d9804b0c-37db-492f-a1ba-851137e697f0.json
deleted file mode 100644
index 961fd89cf..000000000
--- a/data/hfopenllm_v2/mistral/flammenai/Mahou-1.2a-mistral-7B/d9804b0c-37db-492f-a1ba-851137e697f0.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/mistral/flammenai/Mahou-1.5-mistral-nemo-12B/1c4e9e6a-7bb8-410f-9a3b-f88ea0ed474c.json b/data/hfopenllm_v2/mistral/flammenai/Mahou-1.5-mistral-nemo-12B/1c4e9e6a-7bb8-410f-9a3b-f88ea0ed474c.json
deleted file mode 100644
index e76abb501..000000000
--- a/data/hfopenllm_v2/mistral/flammenai/Mahou-1.5-mistral-nemo-12B/1c4e9e6a-7bb8-410f-9a3b-f88ea0ed474c.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/mistral/hotmailuser/Mistral-modelstock-24B/58269430-efba-4d04-a69e-8ef666f2afee.json b/data/hfopenllm_v2/mistral/hotmailuser/Mistral-modelstock-24B/58269430-efba-4d04-a69e-8ef666f2afee.json
deleted file mode 100644
index 82fcf98b7..000000000
--- a/data/hfopenllm_v2/mistral/hotmailuser/Mistral-modelstock-24B/58269430-efba-4d04-a69e-8ef666f2afee.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/mistral/hotmailuser/Mistral-modelstock2-24B/7c9aa35b-3d8e-4b3f-8ae7-35698a1f1c70.json b/data/hfopenllm_v2/mistral/hotmailuser/Mistral-modelstock2-24B/7c9aa35b-3d8e-4b3f-8ae7-35698a1f1c70.json
deleted file mode 100644
index accc2a719..000000000
--- a/data/hfopenllm_v2/mistral/hotmailuser/Mistral-modelstock2-24B/7c9aa35b-3d8e-4b3f-8ae7-35698a1f1c70.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/mistral/irahulpandey/mistralai-7B-slerp-v0.1/034c23f5-6c03-4cee-b6b2-7263426cf975.json b/data/hfopenllm_v2/mistral/irahulpandey/mistralai-7B-slerp-v0.1/034c23f5-6c03-4cee-b6b2-7263426cf975.json
deleted file mode 100644
index e0caad6f1..000000000
--- a/data/hfopenllm_v2/mistral/irahulpandey/mistralai-7B-slerp-v0.1/034c23f5-6c03-4cee-b6b2-7263426cf975.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/mistral/kaist-ai/mistral-orpo-capybara-7k/811cf797-62a1-4fda-960c-ee51f3e24a03.json b/data/hfopenllm_v2/mistral/kaist-ai/mistral-orpo-capybara-7k/811cf797-62a1-4fda-960c-ee51f3e24a03.json
deleted file mode 100644
index 0449e1968..000000000
--- a/data/hfopenllm_v2/mistral/kaist-ai/mistral-orpo-capybara-7k/811cf797-62a1-4fda-960c-ee51f3e24a03.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/mistral/llmat/Mistral-v0.3-7B-ORPO/04a1b79b-a5af-420d-829b-0750341490cf.json b/data/hfopenllm_v2/mistral/llmat/Mistral-v0.3-7B-ORPO/04a1b79b-a5af-420d-829b-0750341490cf.json
deleted file mode 100644
index 830c578b4..000000000
--- a/data/hfopenllm_v2/mistral/llmat/Mistral-v0.3-7B-ORPO/04a1b79b-a5af-420d-829b-0750341490cf.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/mistral/llmat/Mistral-v0.3-7B-ORPO/ff710b55-0a89-4582-8caa-867efb88cf98.json b/data/hfopenllm_v2/mistral/llmat/Mistral-v0.3-7B-ORPO/ff710b55-0a89-4582-8caa-867efb88cf98.json
deleted file mode 100644
index 078e32806..000000000
--- a/data/hfopenllm_v2/mistral/llmat/Mistral-v0.3-7B-ORPO/ff710b55-0a89-4582-8caa-867efb88cf98.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/mistral/migtissera/Tess-3-Mistral-Nemo-12B/7ef5c287-cf98-429f-80c3-d71743612a73.json b/data/hfopenllm_v2/mistral/migtissera/Tess-3-Mistral-Nemo-12B/7ef5c287-cf98-429f-80c3-d71743612a73.json
deleted file mode 100644
index 3769f2cc6..000000000
--- a/data/hfopenllm_v2/mistral/migtissera/Tess-3-Mistral-Nemo-12B/7ef5c287-cf98-429f-80c3-d71743612a73.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/mistral/mistral-community/Mistral-7B-v0.2/a65136c6-b3d7-4107-8d3a-0ce84b77965b.json b/data/hfopenllm_v2/mistral/mistral-community/Mistral-7B-v0.2/a65136c6-b3d7-4107-8d3a-0ce84b77965b.json
deleted file mode 100644
index 3ee5b0f73..000000000
--- a/data/hfopenllm_v2/mistral/mistral-community/Mistral-7B-v0.2/a65136c6-b3d7-4107-8d3a-0ce84b77965b.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/mistral/mistral-community/Mixtral-8x22B-v0.1/810fc203-f10a-49ad-8a6f-58cbd70f2205.json b/data/hfopenllm_v2/mistral/mistral-community/Mixtral-8x22B-v0.1/810fc203-f10a-49ad-8a6f-58cbd70f2205.json
deleted file mode 100644
index 11a1422c3..000000000
--- a/data/hfopenllm_v2/mistral/mistral-community/Mixtral-8x22B-v0.1/810fc203-f10a-49ad-8a6f-58cbd70f2205.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/mistral/mistral-community/mixtral-8x22B-v0.3/abeddace-67d6-484a-b410-95d92819dfe5.json b/data/hfopenllm_v2/mistral/mistral-community/mixtral-8x22B-v0.3/abeddace-67d6-484a-b410-95d92819dfe5.json
deleted file mode 100644
index 7d9e9bede..000000000
--- a/data/hfopenllm_v2/mistral/mistral-community/mixtral-8x22B-v0.3/abeddace-67d6-484a-b410-95d92819dfe5.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/mistral/mistralai/Codestral-22B-v0.1/b6fa1ae6-3df8-437d-a844-3fa022c12370.json b/data/hfopenllm_v2/mistral/mistralai/Codestral-22B-v0.1/b6fa1ae6-3df8-437d-a844-3fa022c12370.json
deleted file mode 100644
index 99dff1310..000000000
--- a/data/hfopenllm_v2/mistral/mistralai/Codestral-22B-v0.1/b6fa1ae6-3df8-437d-a844-3fa022c12370.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/mistral/mistralai/Mistral-7B-v0.1/44381c62-a310-4f01-bd66-9d1434638cf4.json b/data/hfopenllm_v2/mistral/mistralai/Mistral-7B-v0.1/44381c62-a310-4f01-bd66-9d1434638cf4.json
deleted file mode 100644
index 3967feb13..000000000
--- a/data/hfopenllm_v2/mistral/mistralai/Mistral-7B-v0.1/44381c62-a310-4f01-bd66-9d1434638cf4.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/mistral/mistralai/Mistral-7B-v0.3/1a3acc9e-b2cd-4f80-8fcc-b227eee29f26.json b/data/hfopenllm_v2/mistral/mistralai/Mistral-7B-v0.3/1a3acc9e-b2cd-4f80-8fcc-b227eee29f26.json
deleted file mode 100644
index 228659bf6..000000000
--- a/data/hfopenllm_v2/mistral/mistralai/Mistral-7B-v0.3/1a3acc9e-b2cd-4f80-8fcc-b227eee29f26.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/mistral/mistralai/Mistral-Nemo-Base-2407/51b35f7f-f6f7-44ca-9816-b3d812112131.json b/data/hfopenllm_v2/mistral/mistralai/Mistral-Nemo-Base-2407/51b35f7f-f6f7-44ca-9816-b3d812112131.json
deleted file mode 100644
index 24af7a6e1..000000000
--- a/data/hfopenllm_v2/mistral/mistralai/Mistral-Nemo-Base-2407/51b35f7f-f6f7-44ca-9816-b3d812112131.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/mistral/mistralai/Mistral-Small-24B-Base-2501/6b30f50f-9a89-4a11-bcf9-4f38c46c1f18.json b/data/hfopenllm_v2/mistral/mistralai/Mistral-Small-24B-Base-2501/6b30f50f-9a89-4a11-bcf9-4f38c46c1f18.json
deleted file mode 100644
index 63d0de330..000000000
--- a/data/hfopenllm_v2/mistral/mistralai/Mistral-Small-24B-Base-2501/6b30f50f-9a89-4a11-bcf9-4f38c46c1f18.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/mistral/mistralai/Mixtral-8x22B-v0.1/b08cfbfa-906a-4dd0-b258-a7a56a6dcda4.json b/data/hfopenllm_v2/mistral/mistralai/Mixtral-8x22B-v0.1/b08cfbfa-906a-4dd0-b258-a7a56a6dcda4.json
deleted file mode 100644
index 7b4049f2c..000000000
--- a/data/hfopenllm_v2/mistral/mistralai/Mixtral-8x22B-v0.1/b08cfbfa-906a-4dd0-b258-a7a56a6dcda4.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/mistral/mistralai/Mixtral-8x7B-v0.1/4384c278-c869-4591-84fd-a8b2843fe42d.json b/data/hfopenllm_v2/mistral/mistralai/Mixtral-8x7B-v0.1/4384c278-c869-4591-84fd-a8b2843fe42d.json
deleted file mode 100644
index d7de77d6a..000000000
--- a/data/hfopenllm_v2/mistral/mistralai/Mixtral-8x7B-v0.1/4384c278-c869-4591-84fd-a8b2843fe42d.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/mistral/mistralai/Mixtral-8x7B-v0.1/f1822f64-0594-4f16-98f4-29932c604187.json b/data/hfopenllm_v2/mistral/mistralai/Mixtral-8x7B-v0.1/f1822f64-0594-4f16-98f4-29932c604187.json
deleted file mode 100644
index 0a2054ae0..000000000
--- a/data/hfopenllm_v2/mistral/mistralai/Mixtral-8x7B-v0.1/f1822f64-0594-4f16-98f4-29932c604187.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/mistral/nazimali/Mistral-Nemo-Kurdish-Instruct/27e58a27-f4e9-4c7a-93f2-c3b15cab8f9f.json b/data/hfopenllm_v2/mistral/nazimali/Mistral-Nemo-Kurdish-Instruct/27e58a27-f4e9-4c7a-93f2-c3b15cab8f9f.json
deleted file mode 100644
index 03289b0c4..000000000
--- a/data/hfopenllm_v2/mistral/nazimali/Mistral-Nemo-Kurdish-Instruct/27e58a27-f4e9-4c7a-93f2-c3b15cab8f9f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/mistral/nazimali/Mistral-Nemo-Kurdish-Instruct/3381e897-35f3-45f4-ac05-3ca47441b772.json b/data/hfopenllm_v2/mistral/nazimali/Mistral-Nemo-Kurdish-Instruct/3381e897-35f3-45f4-ac05-3ca47441b772.json
deleted file mode 100644
index 4cb2a138d..000000000
--- a/data/hfopenllm_v2/mistral/nazimali/Mistral-Nemo-Kurdish-Instruct/3381e897-35f3-45f4-ac05-3ca47441b772.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/mistral/nazimali/Mistral-Nemo-Kurdish/0da50308-a631-4466-b2e4-2793412b31db.json b/data/hfopenllm_v2/mistral/nazimali/Mistral-Nemo-Kurdish/0da50308-a631-4466-b2e4-2793412b31db.json
deleted file mode 100644
index e58c5ae3d..000000000
--- a/data/hfopenllm_v2/mistral/nazimali/Mistral-Nemo-Kurdish/0da50308-a631-4466-b2e4-2793412b31db.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/mistral/nbeerbower/BigKartoffel-mistral-nemo-20B/95ba0175-5578-47fe-aec9-93ccf4f9f9af.json b/data/hfopenllm_v2/mistral/nbeerbower/BigKartoffel-mistral-nemo-20B/95ba0175-5578-47fe-aec9-93ccf4f9f9af.json
deleted file mode 100644
index 9e7d65f50..000000000
--- a/data/hfopenllm_v2/mistral/nbeerbower/BigKartoffel-mistral-nemo-20B/95ba0175-5578-47fe-aec9-93ccf4f9f9af.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/mistral/nbeerbower/DoppelKartoffel-Mistral-Nemo-23B/5db2ec95-d423-4987-aaa7-b5919d1a2cc8.json b/data/hfopenllm_v2/mistral/nbeerbower/DoppelKartoffel-Mistral-Nemo-23B/5db2ec95-d423-4987-aaa7-b5919d1a2cc8.json
deleted file mode 100644
index 0d741047e..000000000
--- a/data/hfopenllm_v2/mistral/nbeerbower/DoppelKartoffel-Mistral-Nemo-23B/5db2ec95-d423-4987-aaa7-b5919d1a2cc8.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/mistral/nbeerbower/DoublePotato-Mistral-Nemo-13B/03b30ba7-efc3-467e-bdde-c6a18437929b.json b/data/hfopenllm_v2/mistral/nbeerbower/DoublePotato-Mistral-Nemo-13B/03b30ba7-efc3-467e-bdde-c6a18437929b.json
deleted file mode 100644
index 8770bbade..000000000
--- a/data/hfopenllm_v2/mistral/nbeerbower/DoublePotato-Mistral-Nemo-13B/03b30ba7-efc3-467e-bdde-c6a18437929b.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/mistral/nbeerbower/Flammades-Mistral-Nemo-12B/a6e65aeb-f0d3-48ca-8f6e-933d0ea2113b.json b/data/hfopenllm_v2/mistral/nbeerbower/Flammades-Mistral-Nemo-12B/a6e65aeb-f0d3-48ca-8f6e-933d0ea2113b.json
deleted file mode 100644
index 3c159f0ca..000000000
--- a/data/hfopenllm_v2/mistral/nbeerbower/Flammades-Mistral-Nemo-12B/a6e65aeb-f0d3-48ca-8f6e-933d0ea2113b.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/mistral/nbeerbower/Gutensuppe-mistral-nemo-12B/80a9277b-5768-4da0-96c6-3289a7b8a9bc.json b/data/hfopenllm_v2/mistral/nbeerbower/Gutensuppe-mistral-nemo-12B/80a9277b-5768-4da0-96c6-3289a7b8a9bc.json
deleted file mode 100644
index b6364218d..000000000
--- a/data/hfopenllm_v2/mistral/nbeerbower/Gutensuppe-mistral-nemo-12B/80a9277b-5768-4da0-96c6-3289a7b8a9bc.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/mistral/nbeerbower/Hermes2-Gutenberg2-Mistral-7B/b9b08e55-0c5d-427d-914b-e4cfb4de96b8.json b/data/hfopenllm_v2/mistral/nbeerbower/Hermes2-Gutenberg2-Mistral-7B/b9b08e55-0c5d-427d-914b-e4cfb4de96b8.json
deleted file mode 100644
index 2302e4df5..000000000
--- a/data/hfopenllm_v2/mistral/nbeerbower/Hermes2-Gutenberg2-Mistral-7B/b9b08e55-0c5d-427d-914b-e4cfb4de96b8.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/mistral/nbeerbower/Lyra-Gutenberg-mistral-nemo-12B/5b3de7db-009e-46c9-bf34-fe5912c39b81.json b/data/hfopenllm_v2/mistral/nbeerbower/Lyra-Gutenberg-mistral-nemo-12B/5b3de7db-009e-46c9-bf34-fe5912c39b81.json
deleted file mode 100644
index 8655ec50b..000000000
--- a/data/hfopenllm_v2/mistral/nbeerbower/Lyra-Gutenberg-mistral-nemo-12B/5b3de7db-009e-46c9-bf34-fe5912c39b81.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/mistral/nbeerbower/Mahou-1.5-mistral-nemo-12B-lorablated/0cee26b2-c3b3-40be-bc15-3fdaf7b4b38c.json b/data/hfopenllm_v2/mistral/nbeerbower/Mahou-1.5-mistral-nemo-12B-lorablated/0cee26b2-c3b3-40be-bc15-3fdaf7b4b38c.json
deleted file mode 100644
index 441078e40..000000000
--- a/data/hfopenllm_v2/mistral/nbeerbower/Mahou-1.5-mistral-nemo-12B-lorablated/0cee26b2-c3b3-40be-bc15-3fdaf7b4b38c.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/mistral/nbeerbower/Mistral-Gutenberg-Doppel-7B-FFT/c3eae55f-ce07-4ea2-b9d4-92e0909a8b06.json b/data/hfopenllm_v2/mistral/nbeerbower/Mistral-Gutenberg-Doppel-7B-FFT/c3eae55f-ce07-4ea2-b9d4-92e0909a8b06.json
deleted file mode 100644
index 00a37f970..000000000
--- a/data/hfopenllm_v2/mistral/nbeerbower/Mistral-Gutenberg-Doppel-7B-FFT/c3eae55f-ce07-4ea2-b9d4-92e0909a8b06.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/mistral/nbeerbower/Mistral-Nemo-Gutenberg-Doppel-12B-v2/178418ad-2d0a-40cd-a057-105bbe69f937.json b/data/hfopenllm_v2/mistral/nbeerbower/Mistral-Nemo-Gutenberg-Doppel-12B-v2/178418ad-2d0a-40cd-a057-105bbe69f937.json
deleted file mode 100644
index 588a2cbc0..000000000
--- a/data/hfopenllm_v2/mistral/nbeerbower/Mistral-Nemo-Gutenberg-Doppel-12B-v2/178418ad-2d0a-40cd-a057-105bbe69f937.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/mistral/nbeerbower/Mistral-Nemo-Gutenberg-Doppel-12B/012b188f-db69-4529-bfe3-db34c77e7dc0.json b/data/hfopenllm_v2/mistral/nbeerbower/Mistral-Nemo-Gutenberg-Doppel-12B/012b188f-db69-4529-bfe3-db34c77e7dc0.json
deleted file mode 100644
index e93a4dc02..000000000
--- a/data/hfopenllm_v2/mistral/nbeerbower/Mistral-Nemo-Gutenberg-Doppel-12B/012b188f-db69-4529-bfe3-db34c77e7dc0.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/mistral/nbeerbower/Mistral-Nemo-Prism-12B-v2/e5582319-d8e6-4223-97bb-a64a2cc03853.json b/data/hfopenllm_v2/mistral/nbeerbower/Mistral-Nemo-Prism-12B-v2/e5582319-d8e6-4223-97bb-a64a2cc03853.json
deleted file mode 100644
index d8f6fdbbb..000000000
--- a/data/hfopenllm_v2/mistral/nbeerbower/Mistral-Nemo-Prism-12B-v2/e5582319-d8e6-4223-97bb-a64a2cc03853.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/mistral/nbeerbower/Mistral-Nemo-Prism-12B-v7/d66604f0-15b3-4ac3-b0e9-083ab6906da0.json b/data/hfopenllm_v2/mistral/nbeerbower/Mistral-Nemo-Prism-12B-v7/d66604f0-15b3-4ac3-b0e9-083ab6906da0.json
deleted file mode 100644
index 1ee0d1dda..000000000
--- a/data/hfopenllm_v2/mistral/nbeerbower/Mistral-Nemo-Prism-12B-v7/d66604f0-15b3-4ac3-b0e9-083ab6906da0.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/mistral/nbeerbower/Mistral-Nemo-Prism-12B/5ea20d83-ceee-4c52-911a-e25e9cfecf0e.json b/data/hfopenllm_v2/mistral/nbeerbower/Mistral-Nemo-Prism-12B/5ea20d83-ceee-4c52-911a-e25e9cfecf0e.json
deleted file mode 100644
index 617e26beb..000000000
--- a/data/hfopenllm_v2/mistral/nbeerbower/Mistral-Nemo-Prism-12B/5ea20d83-ceee-4c52-911a-e25e9cfecf0e.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/mistral/nbeerbower/Mistral-Small-Drummer-22B/2e86d526-de04-4339-8495-e88c5a9f3f18.json b/data/hfopenllm_v2/mistral/nbeerbower/Mistral-Small-Drummer-22B/2e86d526-de04-4339-8495-e88c5a9f3f18.json
deleted file mode 100644
index e19360b7f..000000000
--- a/data/hfopenllm_v2/mistral/nbeerbower/Mistral-Small-Drummer-22B/2e86d526-de04-4339-8495-e88c5a9f3f18.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/mistral/nbeerbower/Mistral-Small-Gutenberg-Doppel-22B/99cfc94d-3cde-4e42-924a-5c4a4c7f217a.json b/data/hfopenllm_v2/mistral/nbeerbower/Mistral-Small-Gutenberg-Doppel-22B/99cfc94d-3cde-4e42-924a-5c4a4c7f217a.json
deleted file mode 100644
index 32b3a2068..000000000
--- a/data/hfopenllm_v2/mistral/nbeerbower/Mistral-Small-Gutenberg-Doppel-22B/99cfc94d-3cde-4e42-924a-5c4a4c7f217a.json
+++ /dev/null
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diff --git a/data/hfopenllm_v2/mistral/nbeerbower/Stella-mistral-nemo-12B-v2/ed825fd6-f749-449f-a1d6-c3ad7a82e354.json b/data/hfopenllm_v2/mistral/nbeerbower/Stella-mistral-nemo-12B-v2/ed825fd6-f749-449f-a1d6-c3ad7a82e354.json
deleted file mode 100644
index 42873bdd3..000000000
--- a/data/hfopenllm_v2/mistral/nbeerbower/Stella-mistral-nemo-12B-v2/ed825fd6-f749-449f-a1d6-c3ad7a82e354.json
+++ /dev/null
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deleted file mode 100644
index 22510eefb..000000000
--- a/data/hfopenllm_v2/mistral/nbeerbower/mistral-nemo-bophades-12B/1cb58f83-841d-474a-9c7b-adece8cab805.json
+++ /dev/null
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diff --git a/data/hfopenllm_v2/mistral/nbeerbower/mistral-nemo-bophades3-12B/2043110d-2b63-4133-9c53-b39b5b7869b6.json b/data/hfopenllm_v2/mistral/nbeerbower/mistral-nemo-bophades3-12B/2043110d-2b63-4133-9c53-b39b5b7869b6.json
deleted file mode 100644
index 3c00f8031..000000000
--- a/data/hfopenllm_v2/mistral/nbeerbower/mistral-nemo-bophades3-12B/2043110d-2b63-4133-9c53-b39b5b7869b6.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/mistral/nbeerbower/mistral-nemo-cc-12B/45e38c7d-5f31-404b-8fcc-9f3cad239cd1.json b/data/hfopenllm_v2/mistral/nbeerbower/mistral-nemo-cc-12B/45e38c7d-5f31-404b-8fcc-9f3cad239cd1.json
deleted file mode 100644
index 3d2acc8bb..000000000
--- a/data/hfopenllm_v2/mistral/nbeerbower/mistral-nemo-cc-12B/45e38c7d-5f31-404b-8fcc-9f3cad239cd1.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/mistral/nbeerbower/mistral-nemo-gutades-12B/b83d5033-b513-4472-84c1-1b757c533137.json b/data/hfopenllm_v2/mistral/nbeerbower/mistral-nemo-gutades-12B/b83d5033-b513-4472-84c1-1b757c533137.json
deleted file mode 100644
index ddd0b7b8e..000000000
--- a/data/hfopenllm_v2/mistral/nbeerbower/mistral-nemo-gutades-12B/b83d5033-b513-4472-84c1-1b757c533137.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/mistral/nbeerbower/mistral-nemo-gutenberg-12B-v2/db2dee58-3a9c-4789-800d-ed7207c6699c.json b/data/hfopenllm_v2/mistral/nbeerbower/mistral-nemo-gutenberg-12B-v2/db2dee58-3a9c-4789-800d-ed7207c6699c.json
deleted file mode 100644
index c575369df..000000000
--- a/data/hfopenllm_v2/mistral/nbeerbower/mistral-nemo-gutenberg-12B-v2/db2dee58-3a9c-4789-800d-ed7207c6699c.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/mistral/nbeerbower/mistral-nemo-gutenberg-12B-v3/b4ed9f85-c1bb-4a52-8ba6-69f4e0f8e442.json b/data/hfopenllm_v2/mistral/nbeerbower/mistral-nemo-gutenberg-12B-v3/b4ed9f85-c1bb-4a52-8ba6-69f4e0f8e442.json
deleted file mode 100644
index 32b5b5d91..000000000
--- a/data/hfopenllm_v2/mistral/nbeerbower/mistral-nemo-gutenberg-12B-v3/b4ed9f85-c1bb-4a52-8ba6-69f4e0f8e442.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/mistral/nbeerbower/mistral-nemo-gutenberg-12B-v4/9f84023e-a23c-4d2c-afb3-f93629f97a6f.json b/data/hfopenllm_v2/mistral/nbeerbower/mistral-nemo-gutenberg-12B-v4/9f84023e-a23c-4d2c-afb3-f93629f97a6f.json
deleted file mode 100644
index 2910f147d..000000000
--- a/data/hfopenllm_v2/mistral/nbeerbower/mistral-nemo-gutenberg-12B-v4/9f84023e-a23c-4d2c-afb3-f93629f97a6f.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/mistral/nbeerbower/mistral-nemo-gutenberg-12B/9f8c4246-9770-4790-8db0-095e722d89e9.json b/data/hfopenllm_v2/mistral/nbeerbower/mistral-nemo-gutenberg-12B/9f8c4246-9770-4790-8db0-095e722d89e9.json
deleted file mode 100644
index b52718620..000000000
--- a/data/hfopenllm_v2/mistral/nbeerbower/mistral-nemo-gutenberg-12B/9f8c4246-9770-4790-8db0-095e722d89e9.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/mistral/nbeerbower/mistral-nemo-gutenberg2-12B-test/10a4d2dc-4779-4b0f-92fa-010a6a51fe9f.json b/data/hfopenllm_v2/mistral/nbeerbower/mistral-nemo-gutenberg2-12B-test/10a4d2dc-4779-4b0f-92fa-010a6a51fe9f.json
deleted file mode 100644
index 12e646ab8..000000000
--- a/data/hfopenllm_v2/mistral/nbeerbower/mistral-nemo-gutenberg2-12B-test/10a4d2dc-4779-4b0f-92fa-010a6a51fe9f.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/mistral/nbeerbower/mistral-nemo-kartoffel-12B/b111507d-92e8-4af1-882a-9434d6825f51.json b/data/hfopenllm_v2/mistral/nbeerbower/mistral-nemo-kartoffel-12B/b111507d-92e8-4af1-882a-9434d6825f51.json
deleted file mode 100644
index aa64cc417..000000000
--- a/data/hfopenllm_v2/mistral/nbeerbower/mistral-nemo-kartoffel-12B/b111507d-92e8-4af1-882a-9434d6825f51.json
+++ /dev/null
@@ -1,105 +0,0 @@
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deleted file mode 100644
index 210d505fd..000000000
--- a/data/hfopenllm_v2/mistral/nbeerbower/mistral-nemo-narwhal-12B/e1bd9218-4bfb-4df1-a2bf-4a10937240dc.json
+++ /dev/null
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diff --git a/data/hfopenllm_v2/mistral/nlpguy/Mistral-NeMo-Minitron-Upscale-v1/97b61e29-2157-4167-b5bd-94919ecdcacc.json b/data/hfopenllm_v2/mistral/nlpguy/Mistral-NeMo-Minitron-Upscale-v1/97b61e29-2157-4167-b5bd-94919ecdcacc.json
deleted file mode 100644
index 403b6b3f6..000000000
--- a/data/hfopenllm_v2/mistral/nlpguy/Mistral-NeMo-Minitron-Upscale-v1/97b61e29-2157-4167-b5bd-94919ecdcacc.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/mistral/nlpguy/Mistral-NeMo-Minitron-Upscale-v2/9cee29c1-b8dc-4a2c-b117-d5912b890824.json b/data/hfopenllm_v2/mistral/nlpguy/Mistral-NeMo-Minitron-Upscale-v2/9cee29c1-b8dc-4a2c-b117-d5912b890824.json
deleted file mode 100644
index 135230041..000000000
--- a/data/hfopenllm_v2/mistral/nlpguy/Mistral-NeMo-Minitron-Upscale-v2/9cee29c1-b8dc-4a2c-b117-d5912b890824.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/mistral/nlpguy/Mistral-NeMo-Minitron-Upscale-v3/7d2d135a-ab81-49fa-8c17-07f9bd54399d.json b/data/hfopenllm_v2/mistral/nlpguy/Mistral-NeMo-Minitron-Upscale-v3/7d2d135a-ab81-49fa-8c17-07f9bd54399d.json
deleted file mode 100644
index 6eed173f9..000000000
--- a/data/hfopenllm_v2/mistral/nlpguy/Mistral-NeMo-Minitron-Upscale-v3/7d2d135a-ab81-49fa-8c17-07f9bd54399d.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/mistral/nvidia/Mistral-NeMo-Minitron-8B-Base/7bbc4787-9899-4d90-90c6-dec88bc7dd52.json b/data/hfopenllm_v2/mistral/nvidia/Mistral-NeMo-Minitron-8B-Base/7bbc4787-9899-4d90-90c6-dec88bc7dd52.json
deleted file mode 100644
index 1cafff0bd..000000000
--- a/data/hfopenllm_v2/mistral/nvidia/Mistral-NeMo-Minitron-8B-Base/7bbc4787-9899-4d90-90c6-dec88bc7dd52.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/mistral/pszemraj/Mistral-v0.3-6B/729b4f81-32da-41d2-8fa4-d18553b37b83.json b/data/hfopenllm_v2/mistral/pszemraj/Mistral-v0.3-6B/729b4f81-32da-41d2-8fa4-d18553b37b83.json
deleted file mode 100644
index c819e843c..000000000
--- a/data/hfopenllm_v2/mistral/pszemraj/Mistral-v0.3-6B/729b4f81-32da-41d2-8fa4-d18553b37b83.json
+++ /dev/null
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deleted file mode 100644
index 1b75969da..000000000
--- a/data/hfopenllm_v2/mistral/shivam9980/mistral-7b-news-cnn-merged/ce626634-c5a4-422d-8b03-1a28108809ce.json
+++ /dev/null
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diff --git a/data/hfopenllm_v2/mistral/shivank21/mistral_dpo_self/7b07e583-36df-47df-8439-224eca2e5761.json b/data/hfopenllm_v2/mistral/shivank21/mistral_dpo_self/7b07e583-36df-47df-8439-224eca2e5761.json
deleted file mode 100644
index 29b90c9cc..000000000
--- a/data/hfopenllm_v2/mistral/shivank21/mistral_dpo_self/7b07e583-36df-47df-8439-224eca2e5761.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/mistral/siqi00/Mistral-7B-DFT/e2f4255d-12ff-4c88-996d-bac6b51aaa33.json b/data/hfopenllm_v2/mistral/siqi00/Mistral-7B-DFT/e2f4255d-12ff-4c88-996d-bac6b51aaa33.json
deleted file mode 100644
index 9830cf0c7..000000000
--- a/data/hfopenllm_v2/mistral/siqi00/Mistral-7B-DFT/e2f4255d-12ff-4c88-996d-bac6b51aaa33.json
+++ /dev/null
@@ -1,105 +0,0 @@
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deleted file mode 100644
index 94e6324dc..000000000
--- a/data/hfopenllm_v2/mistral/siqi00/Mistral-7B-DFT2/dae2a1a6-a608-4b64-a77a-e4aed87e7d7f.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/mistral/spmurrayzzz/Mistral-Syndicate-7B/80934f3c-8d0b-49be-9f42-e187b4729cff.json b/data/hfopenllm_v2/mistral/spmurrayzzz/Mistral-Syndicate-7B/80934f3c-8d0b-49be-9f42-e187b4729cff.json
deleted file mode 100644
index 9a434788c..000000000
--- a/data/hfopenllm_v2/mistral/spmurrayzzz/Mistral-Syndicate-7B/80934f3c-8d0b-49be-9f42-e187b4729cff.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/mistral/teknium/CollectiveCognition-v1.1-Mistral-7B/626bfec9-65d1-4250-8d07-d9c8a008b554.json b/data/hfopenllm_v2/mistral/teknium/CollectiveCognition-v1.1-Mistral-7B/626bfec9-65d1-4250-8d07-d9c8a008b554.json
deleted file mode 100644
index c239838a8..000000000
--- a/data/hfopenllm_v2/mistral/teknium/CollectiveCognition-v1.1-Mistral-7B/626bfec9-65d1-4250-8d07-d9c8a008b554.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/mistral/teknium/OpenHermes-2-Mistral-7B/f24b2adb-f12d-4dd8-984b-8ab43e15720f.json b/data/hfopenllm_v2/mistral/teknium/OpenHermes-2-Mistral-7B/f24b2adb-f12d-4dd8-984b-8ab43e15720f.json
deleted file mode 100644
index 5e6de5025..000000000
--- a/data/hfopenllm_v2/mistral/teknium/OpenHermes-2-Mistral-7B/f24b2adb-f12d-4dd8-984b-8ab43e15720f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/mistral/teknium/OpenHermes-2.5-Mistral-7B/66d1a6cf-41da-4226-a06c-fc99641e754a.json b/data/hfopenllm_v2/mistral/teknium/OpenHermes-2.5-Mistral-7B/66d1a6cf-41da-4226-a06c-fc99641e754a.json
deleted file mode 100644
index 5a9648e70..000000000
--- a/data/hfopenllm_v2/mistral/teknium/OpenHermes-2.5-Mistral-7B/66d1a6cf-41da-4226-a06c-fc99641e754a.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/mistral/tensopolis/mistral-small-2501-tensopolis-v1/53ec68aa-e4fc-430f-8ccf-f5886f1b9d4b.json b/data/hfopenllm_v2/mistral/tensopolis/mistral-small-2501-tensopolis-v1/53ec68aa-e4fc-430f-8ccf-f5886f1b9d4b.json
deleted file mode 100644
index a454e2ff6..000000000
--- a/data/hfopenllm_v2/mistral/tensopolis/mistral-small-2501-tensopolis-v1/53ec68aa-e4fc-430f-8ccf-f5886f1b9d4b.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/mistral/tensopolis/mistral-small-r1-tensopolis/b2ee17e1-3d66-4622-8ea9-3bf8747371a5.json b/data/hfopenllm_v2/mistral/tensopolis/mistral-small-r1-tensopolis/b2ee17e1-3d66-4622-8ea9-3bf8747371a5.json
deleted file mode 100644
index 8ca474d2a..000000000
--- a/data/hfopenllm_v2/mistral/tensopolis/mistral-small-r1-tensopolis/b2ee17e1-3d66-4622-8ea9-3bf8747371a5.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/mistral/theprint/Conversely-Mistral-7B/5adde1ed-2d8f-4aa6-96f9-042df5358747.json b/data/hfopenllm_v2/mistral/theprint/Conversely-Mistral-7B/5adde1ed-2d8f-4aa6-96f9-042df5358747.json
deleted file mode 100644
index ed892002e..000000000
--- a/data/hfopenllm_v2/mistral/theprint/Conversely-Mistral-7B/5adde1ed-2d8f-4aa6-96f9-042df5358747.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/mistral/tianyil1/MistralForCausalLM_Cal_DPO/9902ef50-5208-4053-bb90-e08c98211b3f.json b/data/hfopenllm_v2/mistral/tianyil1/MistralForCausalLM_Cal_DPO/9902ef50-5208-4053-bb90-e08c98211b3f.json
deleted file mode 100644
index 08d3dafee..000000000
--- a/data/hfopenllm_v2/mistral/tianyil1/MistralForCausalLM_Cal_DPO/9902ef50-5208-4053-bb90-e08c98211b3f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/mistral/uukuguy/speechless-code-mistral-7b-v1.0/cebdb6d6-a12c-47f6-b912-4b8e98763c48.json b/data/hfopenllm_v2/mistral/uukuguy/speechless-code-mistral-7b-v1.0/cebdb6d6-a12c-47f6-b912-4b8e98763c48.json
deleted file mode 100644
index 575be4ff9..000000000
--- a/data/hfopenllm_v2/mistral/uukuguy/speechless-code-mistral-7b-v1.0/cebdb6d6-a12c-47f6-b912-4b8e98763c48.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/mistral/vicgalle/Merge-Mistral-Prometheus-7B/ecfdb6a4-36d7-4252-9677-10655b3855e5.json b/data/hfopenllm_v2/mistral/vicgalle/Merge-Mistral-Prometheus-7B/ecfdb6a4-36d7-4252-9677-10655b3855e5.json
deleted file mode 100644
index 982a915f2..000000000
--- a/data/hfopenllm_v2/mistral/vicgalle/Merge-Mistral-Prometheus-7B/ecfdb6a4-36d7-4252-9677-10655b3855e5.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/mistral/xinchen9/Mistral-7B-CoT/6c54d5e2-7fca-4fa3-9d04-0f44d0651018.json b/data/hfopenllm_v2/mistral/xinchen9/Mistral-7B-CoT/6c54d5e2-7fca-4fa3-9d04-0f44d0651018.json
deleted file mode 100644
index c07c6aafe..000000000
--- a/data/hfopenllm_v2/mistral/xinchen9/Mistral-7B-CoT/6c54d5e2-7fca-4fa3-9d04-0f44d0651018.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/mistral/yam-peleg/Hebrew-Mistral-7B-200K/4d45347d-4491-4d7b-9abe-02c42974f520.json b/data/hfopenllm_v2/mistral/yam-peleg/Hebrew-Mistral-7B-200K/4d45347d-4491-4d7b-9abe-02c42974f520.json
deleted file mode 100644
index aad97c46d..000000000
--- a/data/hfopenllm_v2/mistral/yam-peleg/Hebrew-Mistral-7B-200K/4d45347d-4491-4d7b-9abe-02c42974f520.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/mistral/yam-peleg/Hebrew-Mistral-7B-200K/83a71a32-796a-4fec-9513-2f4b5e032749.json b/data/hfopenllm_v2/mistral/yam-peleg/Hebrew-Mistral-7B-200K/83a71a32-796a-4fec-9513-2f4b5e032749.json
deleted file mode 100644
index fc5514ef7..000000000
--- a/data/hfopenllm_v2/mistral/yam-peleg/Hebrew-Mistral-7B-200K/83a71a32-796a-4fec-9513-2f4b5e032749.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/yam-peleg_Hebrew-Mistral-7B-200K/1762652580.6036632",
-  "retrieved_timestamp": "1762652580.603664",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "yam-peleg/Hebrew-Mistral-7B-200K",
-    "developer": "mistral",
-    "inference_platform": "unknown",
-    "id": "yam-peleg/Hebrew-Mistral-7B-200K",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.504
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1855731680829089
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-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4149272793394017
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-    {
-      "evaluation_name": "GPQA",
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-      "score_details": {
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-      "evaluation_name": "MUSR",
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.25731382978723405
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-    }
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diff --git a/data/hfopenllm_v2/mistral/yam-peleg/Hebrew-Mistral-7B/99c28dc3-f614-430a-99d7-31c2218c4d7f.json b/data/hfopenllm_v2/mistral/yam-peleg/Hebrew-Mistral-7B/99c28dc3-f614-430a-99d7-31c2218c4d7f.json
deleted file mode 100644
index e432507ca..000000000
--- a/data/hfopenllm_v2/mistral/yam-peleg/Hebrew-Mistral-7B/99c28dc3-f614-430a-99d7-31c2218c4d7f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/yam-peleg_Hebrew-Mistral-7B/1762652580.603384",
-  "retrieved_timestamp": "1762652580.603385",
-  "source_data": [
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-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "yam-peleg/Hebrew-Mistral-7B",
-    "developer": "mistral",
-    "inference_platform": "unknown",
-    "id": "yam-peleg/Hebrew-Mistral-7B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.504
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-    {
-      "evaluation_name": "IFEval",
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-        "score_type": "continuous",
-        "min_score": 0,
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-    },
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.39765625
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-}
diff --git a/data/hfopenllm_v2/mistralai/Codestral-22B-v0.1/b56c6c01-a226-4090-9332-330535d79e24.json b/data/hfopenllm_v2/mistralai/Codestral-22B-v0.1/b56c6c01-a226-4090-9332-330535d79e24.json
new file mode 100644
index 000000000..d2f9f4474
--- /dev/null
+++ b/data/hfopenllm_v2/mistralai/Codestral-22B-v0.1/b56c6c01-a226-4090-9332-330535d79e24.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/mistralai_Codestral-22B-v0.1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Codestral-22B-v0.1",
+    "id": "mistralai/Codestral-22B-v0.1",
+    "developer": "mistralai",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 22.247
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5772
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5139
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1005
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2987
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4187
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3156
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/mistralai/Ministral-8B-Instruct-2410/0ddc8e10-9cc5-48eb-b5b0-a2c2f071862b.json b/data/hfopenllm_v2/mistralai/Ministral-8B-Instruct-2410/0ddc8e10-9cc5-48eb-b5b0-a2c2f071862b.json
new file mode 100644
index 000000000..3393c5511
--- /dev/null
+++ b/data/hfopenllm_v2/mistralai/Ministral-8B-Instruct-2410/0ddc8e10-9cc5-48eb-b5b0-a2c2f071862b.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/mistralai_Ministral-8B-Instruct-2410/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Ministral-8B-Instruct-2410",
+    "id": "mistralai/Ministral-8B-Instruct-2410",
+    "developer": "mistralai",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 8.02
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5896
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4762
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1956
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2844
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4138
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3291
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/mistralai/Ministral-8B-Instruct-2410/d0cfd22e-6bad-4784-a172-76892d44f70b.json b/data/hfopenllm_v2/mistralai/Ministral-8B-Instruct-2410/d0cfd22e-6bad-4784-a172-76892d44f70b.json
deleted file mode 100644
index 311c8bbfe..000000000
--- a/data/hfopenllm_v2/mistralai/Ministral-8B-Instruct-2410/d0cfd22e-6bad-4784-a172-76892d44f70b.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/mistralai_Ministral-8B-Instruct-2410/1762652580.361781",
-  "retrieved_timestamp": "1762652580.361782",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "mistralai/Ministral-8B-Instruct-2410",
-    "developer": "mistralai",
-    "inference_platform": "unknown",
-    "id": "mistralai/Ministral-8B-Instruct-2410",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 8.02
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5896399331551394
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.47616402016891385
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.19561933534743203
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.28439597315436244
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41375
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3291223404255319
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/mistralai/Mistral-7B-Instruct-v0.1/2917c469-7e22-497e-8d62-9b9972266658.json b/data/hfopenllm_v2/mistralai/Mistral-7B-Instruct-v0.1/2917c469-7e22-497e-8d62-9b9972266658.json
new file mode 100644
index 000000000..46b328f13
--- /dev/null
+++ b/data/hfopenllm_v2/mistralai/Mistral-7B-Instruct-v0.1/2917c469-7e22-497e-8d62-9b9972266658.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/mistralai_Mistral-7B-Instruct-v0.1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Mistral-7B-Instruct-v0.1",
+    "id": "mistralai/Mistral-7B-Instruct-v0.1",
+    "developer": "mistralai",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4487
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3355
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0227
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.25
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3848
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2414
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/mistralai/Mistral-7B-Instruct-v0.1/ef779e6f-1c12-4237-aa45-e6315ed01d92.json b/data/hfopenllm_v2/mistralai/Mistral-7B-Instruct-v0.1/ef779e6f-1c12-4237-aa45-e6315ed01d92.json
deleted file mode 100644
index 2748d9852..000000000
--- a/data/hfopenllm_v2/mistralai/Mistral-7B-Instruct-v0.1/ef779e6f-1c12-4237-aa45-e6315ed01d92.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/mistralai_Mistral-7B-Instruct-v0.1/1762652580.3620229",
-  "retrieved_timestamp": "1762652580.3620229",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "mistralai/Mistral-7B-Instruct-v0.1",
-    "developer": "mistralai",
-    "inference_platform": "unknown",
-    "id": "mistralai/Mistral-7B-Instruct-v0.1",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4487060998151571
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.33548084759810987
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.022658610271903322
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.25
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.38476041666666666
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.24143949468085107
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/mistralai/Mistral-7B-Instruct-v0.2/2424d85c-e092-4e7c-bf4f-ae014d08a159.json b/data/hfopenllm_v2/mistralai/Mistral-7B-Instruct-v0.2/2424d85c-e092-4e7c-bf4f-ae014d08a159.json
new file mode 100644
index 000000000..3c886d188
--- /dev/null
+++ b/data/hfopenllm_v2/mistralai/Mistral-7B-Instruct-v0.2/2424d85c-e092-4e7c-bf4f-ae014d08a159.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/mistralai_Mistral-7B-Instruct-v0.2/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Mistral-7B-Instruct-v0.2",
+    "id": "mistralai/Mistral-7B-Instruct-v0.2",
+    "developer": "mistralai",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5496
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.446
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0302
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.276
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3966
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2717
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/mistralai/Mistral-7B-Instruct-v0.2/fb55e940-f03d-4d79-9363-ec17eebf9596.json b/data/hfopenllm_v2/mistralai/Mistral-7B-Instruct-v0.2/fb55e940-f03d-4d79-9363-ec17eebf9596.json
deleted file mode 100644
index 7f842c5a6..000000000
--- a/data/hfopenllm_v2/mistralai/Mistral-7B-Instruct-v0.2/fb55e940-f03d-4d79-9363-ec17eebf9596.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/mistralai_Mistral-7B-Instruct-v0.2/1762652580.362234",
-  "retrieved_timestamp": "1762652580.3622348",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "mistralai/Mistral-7B-Instruct-v0.2",
-    "developer": "mistralai",
-    "inference_platform": "unknown",
-    "id": "mistralai/Mistral-7B-Instruct-v0.2",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5496227786717023
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.44597355203292793
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.030211480362537766
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.276006711409396
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.39660416666666665
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2716921542553192
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/mistralai/Mistral-7B-Instruct-v0.3/90278363-1d8f-47ca-a7dc-c51c6b511dc9.json b/data/hfopenllm_v2/mistralai/Mistral-7B-Instruct-v0.3/90278363-1d8f-47ca-a7dc-c51c6b511dc9.json
new file mode 100644
index 000000000..e6172895f
--- /dev/null
+++ b/data/hfopenllm_v2/mistralai/Mistral-7B-Instruct-v0.3/90278363-1d8f-47ca-a7dc-c51c6b511dc9.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/mistralai_Mistral-7B-Instruct-v0.3/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Mistral-7B-Instruct-v0.3",
+    "id": "mistralai/Mistral-7B-Instruct-v0.3",
+    "developer": "mistralai",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.248
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5465
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4722
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0385
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2794
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3739
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3075
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/mistralai/Mistral-7B-Instruct-v0.3/ddc775e5-a4cc-49bd-ace3-113f325134c0.json b/data/hfopenllm_v2/mistralai/Mistral-7B-Instruct-v0.3/ddc775e5-a4cc-49bd-ace3-113f325134c0.json
deleted file mode 100644
index 153fbe50d..000000000
--- a/data/hfopenllm_v2/mistralai/Mistral-7B-Instruct-v0.3/ddc775e5-a4cc-49bd-ace3-113f325134c0.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/mistralai_Mistral-7B-Instruct-v0.3/1762652580.362444",
-  "retrieved_timestamp": "1762652580.362445",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
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diff --git a/data/hfopenllm_v2/mistralai/Mistral-7B-v0.1/3c3197ee-675d-4bb7-874d-28104d2a3cae.json b/data/hfopenllm_v2/mistralai/Mistral-7B-v0.1/3c3197ee-675d-4bb7-874d-28104d2a3cae.json
new file mode 100644
index 000000000..59e48b5f6
--- /dev/null
+++ b/data/hfopenllm_v2/mistralai/Mistral-7B-v0.1/3c3197ee-675d-4bb7-874d-28104d2a3cae.json
@@ -0,0 +1,132 @@
+{
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+    "developer": "mistralai",
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+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
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+  "evaluation_results": [
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+        "hf_repo": "SaylorTwift/bbh"
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+      },
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+        "evaluation_description": "Exact Match on MATH Level 5",
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+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/mistralai/Mistral-7B-v0.3/eb5a8679-bfdd-40f2-9a32-55c04a65ae7e.json b/data/hfopenllm_v2/mistralai/Mistral-7B-v0.3/eb5a8679-bfdd-40f2-9a32-55c04a65ae7e.json
new file mode 100644
index 000000000..ab5aca3af
--- /dev/null
+++ b/data/hfopenllm_v2/mistralai/Mistral-7B-v0.3/eb5a8679-bfdd-40f2-9a32-55c04a65ae7e.json
@@ -0,0 +1,132 @@
+{
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+    "developer": "mistralai",
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+    "additional_details": {
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+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.248
+    }
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+  "evaluation_results": [
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+        "hf_repo": "SaylorTwift/bbh"
+      },
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+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
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+        "max_score": 1.0
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+    },
+    {
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+      "source_data": {
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+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
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+        "hf_repo": "TAUR-Lab/MuSR"
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+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/mistralai/Mistral-Large-Instruct-2411/1f2c9c0c-7e71-4886-9980-300a7ae5c55e.json b/data/hfopenllm_v2/mistralai/Mistral-Large-Instruct-2411/1f2c9c0c-7e71-4886-9980-300a7ae5c55e.json
deleted file mode 100644
index 7962a0e28..000000000
--- a/data/hfopenllm_v2/mistralai/Mistral-Large-Instruct-2411/1f2c9c0c-7e71-4886-9980-300a7ae5c55e.json
+++ /dev/null
@@ -1,105 +0,0 @@
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-    "developer": "mistralai",
-    "inference_platform": "unknown",
-    "id": "mistralai/Mistral-Large-Instruct-2411",
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-}
diff --git a/data/hfopenllm_v2/mistralai/Mistral-Large-Instruct-2411/d770f88d-b110-4f27-85e9-e52217c11798.json b/data/hfopenllm_v2/mistralai/Mistral-Large-Instruct-2411/d770f88d-b110-4f27-85e9-e52217c11798.json
new file mode 100644
index 000000000..439c483ad
--- /dev/null
+++ b/data/hfopenllm_v2/mistralai/Mistral-Large-Instruct-2411/d770f88d-b110-4f27-85e9-e52217c11798.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/mistralai_Mistral-Large-Instruct-2411/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Mistral-Large-Instruct-2411",
+    "id": "mistralai/Mistral-Large-Instruct-2411",
+    "developer": "mistralai",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 122.61
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
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+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
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+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
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+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4371
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.454
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5562
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/mistralai/Mistral-Nemo-Base-2407/364328ce-5de7-401f-ad84-0c76e3c1dc91.json b/data/hfopenllm_v2/mistralai/Mistral-Nemo-Base-2407/364328ce-5de7-401f-ad84-0c76e3c1dc91.json
new file mode 100644
index 000000000..9a51045d8
--- /dev/null
+++ b/data/hfopenllm_v2/mistralai/Mistral-Nemo-Base-2407/364328ce-5de7-401f-ad84-0c76e3c1dc91.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/mistralai_Mistral-Nemo-Base-2407/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Mistral-Nemo-Base-2407",
+    "id": "mistralai/Mistral-Nemo-Base-2407",
+    "developer": "mistralai",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 11.58
+    }
+  },
+  "evaluation_results": [
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
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+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5035
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0597
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2936
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "max_score": 1.0
+      },
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+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/mistralai/Mistral-Nemo-Instruct-2407/3758a033-b197-403b-ab9e-7457856f3ebc.json b/data/hfopenllm_v2/mistralai/Mistral-Nemo-Instruct-2407/3758a033-b197-403b-ab9e-7457856f3ebc.json
deleted file mode 100644
index 1cda9e8d6..000000000
--- a/data/hfopenllm_v2/mistralai/Mistral-Nemo-Instruct-2407/3758a033-b197-403b-ab9e-7457856f3ebc.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/mistralai_Mistral-Nemo-Instruct-2407/1762652580.363499",
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "mistralai/Mistral-Nemo-Instruct-2407",
-    "developer": "mistralai",
-    "inference_platform": "unknown",
-    "id": "mistralai/Mistral-Nemo-Instruct-2407",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 12.248
-    }
-  },
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-      "evaluation_name": "IFEval",
-      "metric_config": {
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-        "lower_is_better": false,
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-        "max_score": 1
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-        "score_type": "continuous",
-        "min_score": 0,
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-        "lower_is_better": false,
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/mistralai/Mistral-Nemo-Instruct-2407/f7dcfdbb-ff12-4692-9702-712de3d0b7ba.json b/data/hfopenllm_v2/mistralai/Mistral-Nemo-Instruct-2407/f7dcfdbb-ff12-4692-9702-712de3d0b7ba.json
new file mode 100644
index 000000000..3522fc93d
--- /dev/null
+++ b/data/hfopenllm_v2/mistralai/Mistral-Nemo-Instruct-2407/f7dcfdbb-ff12-4692-9702-712de3d0b7ba.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/mistralai_Mistral-Nemo-Instruct-2407/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Mistral-Nemo-Instruct-2407",
+    "id": "mistralai/Mistral-Nemo-Instruct-2407",
+    "developer": "mistralai",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 12.248
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.638
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5037
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1269
+      }
+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2903
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.39
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3517
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/mistralai/Mistral-Small-24B-Base-2501/d641aa88-9981-4a25-90d5-fcc4564ede52.json b/data/hfopenllm_v2/mistralai/Mistral-Small-24B-Base-2501/d641aa88-9981-4a25-90d5-fcc4564ede52.json
new file mode 100644
index 000000000..f8fd7098d
--- /dev/null
+++ b/data/hfopenllm_v2/mistralai/Mistral-Small-24B-Base-2501/d641aa88-9981-4a25-90d5-fcc4564ede52.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/mistralai_Mistral-Small-24B-Base-2501/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Mistral-Small-24B-Base-2501",
+    "id": "mistralai/Mistral-Small-24B-Base-2501",
+    "developer": "mistralai",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 23.572
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1672
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6442
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1971
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3876
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4237
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5406
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/mistralai/Mistral-Small-Instruct-2409/15f66094-73f1-4302-adad-69522872682d.json b/data/hfopenllm_v2/mistralai/Mistral-Small-Instruct-2409/15f66094-73f1-4302-adad-69522872682d.json
deleted file mode 100644
index 9f7425f06..000000000
--- a/data/hfopenllm_v2/mistralai/Mistral-Small-Instruct-2409/15f66094-73f1-4302-adad-69522872682d.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/mistralai_Mistral-Small-Instruct-2409/1762652580.363916",
-  "retrieved_timestamp": "1762652580.363917",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "mistralai/Mistral-Small-Instruct-2409",
-    "developer": "mistralai",
-    "inference_platform": "unknown",
-    "id": "mistralai/Mistral-Small-Instruct-2409",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 22.05
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-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
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-        "score_type": "continuous",
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-        "max_score": 1
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-    {
-      "evaluation_name": "MATH Level 5",
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-        "score_type": "continuous",
-        "min_score": 0,
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-      },
-      "score_details": {
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-    },
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.36320833333333336
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-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.39602726063829785
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/mistralai/Mistral-Small-Instruct-2409/8915e742-df2e-41bc-b83f-3e111edfd257.json b/data/hfopenllm_v2/mistralai/Mistral-Small-Instruct-2409/8915e742-df2e-41bc-b83f-3e111edfd257.json
new file mode 100644
index 000000000..b9bddd2f0
--- /dev/null
+++ b/data/hfopenllm_v2/mistralai/Mistral-Small-Instruct-2409/8915e742-df2e-41bc-b83f-3e111edfd257.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/mistralai_Mistral-Small-Instruct-2409/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Mistral-Small-Instruct-2409",
+    "id": "mistralai/Mistral-Small-Instruct-2409",
+    "developer": "mistralai",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 22.247
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+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+        "score": 0.6283
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+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.583
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2039
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3331
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4063
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4099
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/mistralai/Mistral-Small-Instruct-2409/a85d1dbd-465b-42c8-baf5-0e7a7ca00725.json b/data/hfopenllm_v2/mistralai/Mistral-Small-Instruct-2409/a85d1dbd-465b-42c8-baf5-0e7a7ca00725.json
deleted file mode 100644
index 70312fea2..000000000
--- a/data/hfopenllm_v2/mistralai/Mistral-Small-Instruct-2409/a85d1dbd-465b-42c8-baf5-0e7a7ca00725.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/mistralai_Mistral-Small-Instruct-2409/1762652580.364117",
-  "retrieved_timestamp": "1762652580.364118",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "mistralai/Mistral-Small-Instruct-2409",
-    "developer": "mistralai",
-    "inference_platform": "unknown",
-    "id": "mistralai/Mistral-Small-Instruct-2409",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 22.247
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6282829558903709
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5830283846898211
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2039274924471299
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.33305369127516776
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4063333333333334
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.409906914893617
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/mistralai/Mistral-Small-Instruct-2409/e29a5e35-8677-4e53-83fd-85e919b4366a.json b/data/hfopenllm_v2/mistralai/Mistral-Small-Instruct-2409/e29a5e35-8677-4e53-83fd-85e919b4366a.json
new file mode 100644
index 000000000..883513689
--- /dev/null
+++ b/data/hfopenllm_v2/mistralai/Mistral-Small-Instruct-2409/e29a5e35-8677-4e53-83fd-85e919b4366a.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/mistralai_Mistral-Small-Instruct-2409/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Mistral-Small-Instruct-2409",
+    "id": "mistralai/Mistral-Small-Instruct-2409",
+    "developer": "mistralai",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 22.05
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.667
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5213
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1435
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3238
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3632
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.396
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/mistralai/Mixtral-8x22B-Instruct-v0.1/e5c55d38-dc04-42b4-9aca-ae7be436ebe0.json b/data/hfopenllm_v2/mistralai/Mixtral-8x22B-Instruct-v0.1/e5c55d38-dc04-42b4-9aca-ae7be436ebe0.json
new file mode 100644
index 000000000..95271fa45
--- /dev/null
+++ b/data/hfopenllm_v2/mistralai/Mixtral-8x22B-Instruct-v0.1/e5c55d38-dc04-42b4-9aca-ae7be436ebe0.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/mistralai_Mixtral-8x22B-Instruct-v0.1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Mixtral-8x22B-Instruct-v0.1",
+    "id": "mistralai/Mixtral-8x22B-Instruct-v0.1",
+    "developer": "mistralai",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MixtralForCausalLM",
+      "params_billions": 140.621
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7184
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6125
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1873
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3733
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4311
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4483
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/mistralai/Mixtral-8x22B-Instruct-v0.1/ee88881e-cdeb-4a55-b784-6b41b983d7aa.json b/data/hfopenllm_v2/mistralai/Mixtral-8x22B-Instruct-v0.1/ee88881e-cdeb-4a55-b784-6b41b983d7aa.json
deleted file mode 100644
index 8b34d1f83..000000000
--- a/data/hfopenllm_v2/mistralai/Mixtral-8x22B-Instruct-v0.1/ee88881e-cdeb-4a55-b784-6b41b983d7aa.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/mistralai_Mixtral-8x22B-Instruct-v0.1/1762652580.3642921",
-  "retrieved_timestamp": "1762652580.3642921",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "mistralai/Mixtral-8x22B-Instruct-v0.1",
-    "developer": "mistralai",
-    "inference_platform": "unknown",
-    "id": "mistralai/Mixtral-8x22B-Instruct-v0.1",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MixtralForCausalLM",
-      "params_billions": 140.621
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7183584001560305
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6124924926272018
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.18731117824773413
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3733221476510067
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.43111458333333336
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.44830452127659576
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/mistralai/Mixtral-8x22B-v0.1/504baceb-6684-430d-a532-b7b5b0b061fe.json b/data/hfopenllm_v2/mistralai/Mixtral-8x22B-v0.1/504baceb-6684-430d-a532-b7b5b0b061fe.json
new file mode 100644
index 000000000..e967e9002
--- /dev/null
+++ b/data/hfopenllm_v2/mistralai/Mixtral-8x22B-v0.1/504baceb-6684-430d-a532-b7b5b0b061fe.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/mistralai_Mixtral-8x22B-v0.1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Mixtral-8x22B-v0.1",
+    "id": "mistralai/Mixtral-8x22B-v0.1",
+    "developer": "mistralai",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MixtralForCausalLM",
+      "params_billions": 140.621
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2583
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.624
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1835
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3758
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4037
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4639
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/mistralai/Mixtral-8x7B-Instruct-v0.1/2e1de889-2df9-4c81-b5ce-c00c602704b7.json b/data/hfopenllm_v2/mistralai/Mixtral-8x7B-Instruct-v0.1/2e1de889-2df9-4c81-b5ce-c00c602704b7.json
deleted file mode 100644
index 06afa7c16..000000000
--- a/data/hfopenllm_v2/mistralai/Mixtral-8x7B-Instruct-v0.1/2e1de889-2df9-4c81-b5ce-c00c602704b7.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/mistralai_Mixtral-8x7B-Instruct-v0.1/1762652580.364703",
-  "retrieved_timestamp": "1762652580.364704",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "mistralai/Mixtral-8x7B-Instruct-v0.1",
-    "developer": "mistralai",
-    "inference_platform": "unknown",
-    "id": "mistralai/Mixtral-8x7B-Instruct-v0.1",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MixtralForCausalLM",
-      "params_billions": 46.703
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5599143605633053
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.49623654013356494
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.09138972809667674
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3028523489932886
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42032291666666666
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.36918218085106386
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/mistralai/Mixtral-8x7B-Instruct-v0.1/31fcd34a-af1e-4eab-bd9a-5ec17eb572d2.json b/data/hfopenllm_v2/mistralai/Mixtral-8x7B-Instruct-v0.1/31fcd34a-af1e-4eab-bd9a-5ec17eb572d2.json
new file mode 100644
index 000000000..659f51d7a
--- /dev/null
+++ b/data/hfopenllm_v2/mistralai/Mixtral-8x7B-Instruct-v0.1/31fcd34a-af1e-4eab-bd9a-5ec17eb572d2.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/mistralai_Mixtral-8x7B-Instruct-v0.1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Mixtral-8x7B-Instruct-v0.1",
+    "id": "mistralai/Mixtral-8x7B-Instruct-v0.1",
+    "developer": "mistralai",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MixtralForCausalLM",
+      "params_billions": 46.703
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5599
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4962
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0914
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3029
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4203
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3692
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/mistralai/Mixtral-8x7B-v0.1/01ab0a3e-393a-497a-9b32-8af790b7581a.json b/data/hfopenllm_v2/mistralai/Mixtral-8x7B-v0.1/01ab0a3e-393a-497a-9b32-8af790b7581a.json
new file mode 100644
index 000000000..b2775e111
--- /dev/null
+++ b/data/hfopenllm_v2/mistralai/Mixtral-8x7B-v0.1/01ab0a3e-393a-497a-9b32-8af790b7581a.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/mistralai_Mixtral-8x7B-v0.1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Mixtral-8x7B-v0.1",
+    "id": "mistralai/Mixtral-8x7B-v0.1",
+    "developer": "mistralai",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "MixtralForCausalLM",
+      "params_billions": 46.703
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2326
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5098
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0937
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3205
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4413
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3871
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/mistralai/Mixtral-8x7B-v0.1/541967a6-b856-4dc9-958a-9335197fba99.json b/data/hfopenllm_v2/mistralai/Mixtral-8x7B-v0.1/541967a6-b856-4dc9-958a-9335197fba99.json
new file mode 100644
index 000000000..2f9aa7f43
--- /dev/null
+++ b/data/hfopenllm_v2/mistralai/Mixtral-8x7B-v0.1/541967a6-b856-4dc9-958a-9335197fba99.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/mistralai_Mixtral-8x7B-v0.1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Mixtral-8x7B-v0.1",
+    "id": "mistralai/Mixtral-8x7B-v0.1",
+    "developer": "mistralai",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MixtralForCausalLM",
+      "params_billions": 46.703
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2415
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5087
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.102
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3138
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4321
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.385
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/mixtao/MixTAO-7Bx2-MoE-v8.1/a6032673-fee4-4c8c-97fa-167729f495d6.json b/data/hfopenllm_v2/mixtao/MixTAO-7Bx2-MoE-v8.1/a6032673-fee4-4c8c-97fa-167729f495d6.json
deleted file mode 100644
index db498381b..000000000
--- a/data/hfopenllm_v2/mixtao/MixTAO-7Bx2-MoE-v8.1/a6032673-fee4-4c8c-97fa-167729f495d6.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/mixtao_MixTAO-7Bx2-MoE-v8.1/1762652580.3653471",
-  "retrieved_timestamp": "1762652580.365348",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "mixtao/MixTAO-7Bx2-MoE-v8.1",
-    "developer": "mixtao",
-    "inference_platform": "unknown",
-    "id": "mixtao/MixTAO-7Bx2-MoE-v8.1",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MixtralForCausalLM",
-      "params_billions": 12.879
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41623337189767595
-      }
-    },
-    {
-      "evaluation_name": "BBH",
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-        "evaluation_description": "Accuracy on BBH",
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diff --git a/data/hfopenllm_v2/mixtao/MixTAO-7Bx2-MoE-v8.1/ee31c801-67cb-46a3-9e39-02e842c0473f.json b/data/hfopenllm_v2/mixtao/MixTAO-7Bx2-MoE-v8.1/ee31c801-67cb-46a3-9e39-02e842c0473f.json
new file mode 100644
index 000000000..f557e9ecc
--- /dev/null
+++ b/data/hfopenllm_v2/mixtao/MixTAO-7Bx2-MoE-v8.1/ee31c801-67cb-46a3-9e39-02e842c0473f.json
@@ -0,0 +1,132 @@
+{
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+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
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+    "id": "mixtao/MixTAO-7Bx2-MoE-v8.1",
+    "developer": "mixtao",
+    "inference_platform": "unknown",
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+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
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+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/mkurman/llama-3.2-MEDIT-3B-o1/65fabe8b-05af-461e-b804-fcff3492da34.json b/data/hfopenllm_v2/mkurman/llama-3.2-MEDIT-3B-o1/65fabe8b-05af-461e-b804-fcff3492da34.json
new file mode 100644
index 000000000..3b0161b0b
--- /dev/null
+++ b/data/hfopenllm_v2/mkurman/llama-3.2-MEDIT-3B-o1/65fabe8b-05af-461e-b804-fcff3492da34.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/mkurman_llama-3.2-MEDIT-3B-o1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
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+    "id": "mkurman/llama-3.2-MEDIT-3B-o1",
+    "developer": "mkurman",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 3.607
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+  },
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+    {
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+      "source_data": {
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+        "hf_repo": "google/IFEval"
+      },
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+        "score_type": "continuous",
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
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+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
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+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
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+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
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+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
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+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/mkurman/phi-4-MedIT-11B-exp-1/7e1a7121-2c9f-4196-bbdd-48aea257f384.json b/data/hfopenllm_v2/mkurman/phi-4-MedIT-11B-exp-1/7e1a7121-2c9f-4196-bbdd-48aea257f384.json
new file mode 100644
index 000000000..f017555d6
--- /dev/null
+++ b/data/hfopenllm_v2/mkurman/phi-4-MedIT-11B-exp-1/7e1a7121-2c9f-4196-bbdd-48aea257f384.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/mkurman_phi-4-MedIT-11B-exp-1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "phi-4-MedIT-11B-exp-1",
+    "id": "mkurman/phi-4-MedIT-11B-exp-1",
+    "developer": "mkurman",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Phi3ForCausalLM",
+      "params_billions": 11.514
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5948
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5414
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
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+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/mkurman/phi4-MedIT-10B-o1/dd32609c-316e-4511-8791-fcae33a1a506.json b/data/hfopenllm_v2/mkurman/phi4-MedIT-10B-o1/dd32609c-316e-4511-8791-fcae33a1a506.json
new file mode 100644
index 000000000..5207ed657
--- /dev/null
+++ b/data/hfopenllm_v2/mkurman/phi4-MedIT-10B-o1/dd32609c-316e-4511-8791-fcae33a1a506.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/mkurman_phi4-MedIT-10B-o1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "phi4-MedIT-10B-o1",
+    "id": "mkurman/phi4-MedIT-10B-o1",
+    "developer": "mkurman",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaMedITForCausalLM",
+      "params_billions": 10.255
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3463
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5198
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1148
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2458
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3968
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3507
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/mkxu/llama-3-8b-instruct-fpo/0ba6add2-4495-4261-baab-224c0b6c683f.json b/data/hfopenllm_v2/mkxu/llama-3-8b-instruct-fpo/0ba6add2-4495-4261-baab-224c0b6c683f.json
deleted file mode 100644
index 296c6f738..000000000
--- a/data/hfopenllm_v2/mkxu/llama-3-8b-instruct-fpo/0ba6add2-4495-4261-baab-224c0b6c683f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/mkxu_llama-3-8b-instruct-fpo/1762652580.366677",
-  "retrieved_timestamp": "1762652580.366678",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "mkxu/llama-3-8b-instruct-fpo",
-    "developer": "mkxu",
-    "inference_platform": "unknown",
-    "id": "mkxu/llama-3-8b-instruct-fpo",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
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diff --git a/data/hfopenllm_v2/mkxu/llama-3-8b-instruct-fpo/d95d7058-49eb-47d7-b790-3a253291d22b.json b/data/hfopenllm_v2/mkxu/llama-3-8b-instruct-fpo/d95d7058-49eb-47d7-b790-3a253291d22b.json
new file mode 100644
index 000000000..9ef45d0ae
--- /dev/null
+++ b/data/hfopenllm_v2/mkxu/llama-3-8b-instruct-fpo/d95d7058-49eb-47d7-b790-3a253291d22b.json
@@ -0,0 +1,132 @@
+{
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+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
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+    "id": "mkxu/llama-3-8b-instruct-fpo",
+    "developer": "mkxu",
+    "inference_platform": "unknown",
+    "additional_details": {
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+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
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+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
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+        "hf_repo": "Idavidrein/gpqa"
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+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "max_score": 1.0
+      },
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+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/mkxu/llama-3-8b-po1/37cbc3d6-1198-4e23-b86c-1fd979eacd9a.json b/data/hfopenllm_v2/mkxu/llama-3-8b-po1/37cbc3d6-1198-4e23-b86c-1fd979eacd9a.json
new file mode 100644
index 000000000..db56d51b6
--- /dev/null
+++ b/data/hfopenllm_v2/mkxu/llama-3-8b-po1/37cbc3d6-1198-4e23-b86c-1fd979eacd9a.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/mkxu_llama-3-8b-po1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "llama-3-8b-po1",
+    "id": "mkxu/llama-3-8b-po1",
+    "developer": "mkxu",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4081
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4976
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+      "score_details": {
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+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.297
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3804
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/mlabonne/AlphaMonarch-7B/76d0d338-e502-4638-adad-c4c4df00c26f.json b/data/hfopenllm_v2/mlabonne/AlphaMonarch-7B/76d0d338-e502-4638-adad-c4c4df00c26f.json
new file mode 100644
index 000000000..e4a056c61
--- /dev/null
+++ b/data/hfopenllm_v2/mlabonne/AlphaMonarch-7B/76d0d338-e502-4638-adad-c4c4df00c26f.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/mlabonne_AlphaMonarch-7B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "AlphaMonarch-7B",
+    "id": "mlabonne/AlphaMonarch-7B",
+    "developer": "mlabonne",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4626
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2701
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4121
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/mlabonne/AlphaMonarch-7B/d7eb4408-6857-4df1-b92b-9dd4712a4f23.json b/data/hfopenllm_v2/mlabonne/AlphaMonarch-7B/d7eb4408-6857-4df1-b92b-9dd4712a4f23.json
deleted file mode 100644
index 410fc4461..000000000
--- a/data/hfopenllm_v2/mlabonne/AlphaMonarch-7B/d7eb4408-6857-4df1-b92b-9dd4712a4f23.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/mlabonne_AlphaMonarch-7B/1762652580.367184",
-  "retrieved_timestamp": "1762652580.3671849",
-  "source_data": [
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-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "mlabonne/AlphaMonarch-7B",
-    "developer": "mlabonne",
-    "inference_platform": "unknown",
-    "id": "mlabonne/AlphaMonarch-7B",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-        "min_score": 0,
-        "max_score": 1
-      },
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-    },
-    {
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-        "score_type": "continuous",
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-        "max_score": 1
-      },
-      "score_details": {
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-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-}
diff --git a/data/hfopenllm_v2/mlabonne/Beyonder-4x7B-v3/b0867447-6dd9-453c-af09-da0db5651e65.json b/data/hfopenllm_v2/mlabonne/Beyonder-4x7B-v3/b0867447-6dd9-453c-af09-da0db5651e65.json
deleted file mode 100644
index ac45b5f52..000000000
--- a/data/hfopenllm_v2/mlabonne/Beyonder-4x7B-v3/b0867447-6dd9-453c-af09-da0db5651e65.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/mlabonne_Beyonder-4x7B-v3/1762652580.36743",
-  "retrieved_timestamp": "1762652580.367431",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "mlabonne/Beyonder-4x7B-v3",
-    "developer": "mlabonne",
-    "inference_platform": "unknown",
-    "id": "mlabonne/Beyonder-4x7B-v3",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "MixtralForCausalLM",
-      "params_billions": 24.154
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-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
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-        "min_score": 0,
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-        "score_type": "continuous",
-        "min_score": 0,
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-    {
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.05362537764350453
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.28523489932885904
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.40454166666666663
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2512466755319149
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/mlabonne/Beyonder-4x7B-v3/f47375bd-547a-4d0b-8c96-bbe2bc1ac445.json b/data/hfopenllm_v2/mlabonne/Beyonder-4x7B-v3/f47375bd-547a-4d0b-8c96-bbe2bc1ac445.json
new file mode 100644
index 000000000..ae8e73867
--- /dev/null
+++ b/data/hfopenllm_v2/mlabonne/Beyonder-4x7B-v3/f47375bd-547a-4d0b-8c96-bbe2bc1ac445.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/mlabonne_Beyonder-4x7B-v3/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Beyonder-4x7B-v3",
+    "id": "mlabonne/Beyonder-4x7B-v3",
+    "developer": "mlabonne",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "MixtralForCausalLM",
+      "params_billions": 24.154
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5608
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4671
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0536
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2852
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4045
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2512
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/mlabonne/BigQwen2.5-52B-Instruct/6b1ed68c-3099-4bd7-892b-cdc36c90ccfe.json b/data/hfopenllm_v2/mlabonne/BigQwen2.5-52B-Instruct/6b1ed68c-3099-4bd7-892b-cdc36c90ccfe.json
new file mode 100644
index 000000000..7401e378b
--- /dev/null
+++ b/data/hfopenllm_v2/mlabonne/BigQwen2.5-52B-Instruct/6b1ed68c-3099-4bd7-892b-cdc36c90ccfe.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/mlabonne_BigQwen2.5-52B-Instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "BigQwen2.5-52B-Instruct",
+    "id": "mlabonne/BigQwen2.5-52B-Instruct",
+    "developer": "mlabonne",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 52.268
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7913
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7121
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5476
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.302
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4113
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5519
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/mlabonne/BigQwen2.5-52B-Instruct/b18517f1-db51-43a8-812f-75aeccae508f.json b/data/hfopenllm_v2/mlabonne/BigQwen2.5-52B-Instruct/b18517f1-db51-43a8-812f-75aeccae508f.json
deleted file mode 100644
index 0269bf4a5..000000000
--- a/data/hfopenllm_v2/mlabonne/BigQwen2.5-52B-Instruct/b18517f1-db51-43a8-812f-75aeccae508f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/mlabonne_BigQwen2.5-52B-Instruct/1762652580.3676438",
-  "retrieved_timestamp": "1762652580.367645",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "mlabonne/BigQwen2.5-52B-Instruct",
-    "developer": "mlabonne",
-    "inference_platform": "unknown",
-    "id": "mlabonne/BigQwen2.5-52B-Instruct",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 52.268
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7913480675718205
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7121004678698547
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.547583081570997
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30201342281879195
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41130208333333335
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5519448138297872
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/mlabonne/BigQwen2.5-Echo-47B-Instruct/0e59c8ca-cde0-4482-ab03-3309bcb8737c.json b/data/hfopenllm_v2/mlabonne/BigQwen2.5-Echo-47B-Instruct/0e59c8ca-cde0-4482-ab03-3309bcb8737c.json
new file mode 100644
index 000000000..015017389
--- /dev/null
+++ b/data/hfopenllm_v2/mlabonne/BigQwen2.5-Echo-47B-Instruct/0e59c8ca-cde0-4482-ab03-3309bcb8737c.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/mlabonne_BigQwen2.5-Echo-47B-Instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "BigQwen2.5-Echo-47B-Instruct",
+    "id": "mlabonne/BigQwen2.5-Echo-47B-Instruct",
+    "developer": "mlabonne",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 47.392
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7357
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6125
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4381
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3146
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4125
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4734
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/mlabonne/BigQwen2.5-Echo-47B-Instruct/12efcd4e-13cc-46e5-964a-35d4be69a01e.json b/data/hfopenllm_v2/mlabonne/BigQwen2.5-Echo-47B-Instruct/12efcd4e-13cc-46e5-964a-35d4be69a01e.json
deleted file mode 100644
index a3f0c1286..000000000
--- a/data/hfopenllm_v2/mlabonne/BigQwen2.5-Echo-47B-Instruct/12efcd4e-13cc-46e5-964a-35d4be69a01e.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/mlabonne_BigQwen2.5-Echo-47B-Instruct/1762652580.36785",
-  "retrieved_timestamp": "1762652580.36785",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "mlabonne/BigQwen2.5-Echo-47B-Instruct",
-    "developer": "mlabonne",
-    "inference_platform": "unknown",
-    "id": "mlabonne/BigQwen2.5-Echo-47B-Instruct",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 47.392
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7356691356711305
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6125111878044905
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4380664652567976
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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diff --git a/data/hfopenllm_v2/mlabonne/ChimeraLlama-3-8B-v2/d7e900e2-0574-44cd-a68a-0dd2715cf48c.json b/data/hfopenllm_v2/mlabonne/ChimeraLlama-3-8B-v2/d7e900e2-0574-44cd-a68a-0dd2715cf48c.json
new file mode 100644
index 000000000..e8c365a9a
--- /dev/null
+++ b/data/hfopenllm_v2/mlabonne/ChimeraLlama-3-8B-v2/d7e900e2-0574-44cd-a68a-0dd2715cf48c.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/mlabonne_ChimeraLlama-3-8B-v2/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "ChimeraLlama-3-8B-v2",
+    "id": "mlabonne/ChimeraLlama-3-8B-v2",
+    "developer": "mlabonne",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4469
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5046
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
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+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3791
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3569
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/mlabonne/ChimeraLlama-3-8B-v3/fd626c3f-566d-4193-9a85-e7c9a89e671c.json b/data/hfopenllm_v2/mlabonne/ChimeraLlama-3-8B-v3/fd626c3f-566d-4193-9a85-e7c9a89e671c.json
new file mode 100644
index 000000000..e51cf0145
--- /dev/null
+++ b/data/hfopenllm_v2/mlabonne/ChimeraLlama-3-8B-v3/fd626c3f-566d-4193-9a85-e7c9a89e671c.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/mlabonne_ChimeraLlama-3-8B-v3/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "ChimeraLlama-3-8B-v3",
+    "id": "mlabonne/ChimeraLlama-3-8B-v3",
+    "developer": "mlabonne",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4408
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4978
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0884
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2919
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4004
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3669
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/mlabonne/Daredevil-8B-abliterated/196b04ae-fd53-400f-9f08-19edd4959f6e.json b/data/hfopenllm_v2/mlabonne/Daredevil-8B-abliterated/196b04ae-fd53-400f-9f08-19edd4959f6e.json
new file mode 100644
index 000000000..8e430f3b6
--- /dev/null
+++ b/data/hfopenllm_v2/mlabonne/Daredevil-8B-abliterated/196b04ae-fd53-400f-9f08-19edd4959f6e.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/mlabonne_Daredevil-8B-abliterated/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Daredevil-8B-abliterated",
+    "id": "mlabonne/Daredevil-8B-abliterated",
+    "developer": "mlabonne",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4426
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4254
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0944
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2903
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.407
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3701
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/mlabonne/Daredevil-8B-abliterated/3ad89b65-5719-4e54-aadf-c10d3f27857a.json b/data/hfopenllm_v2/mlabonne/Daredevil-8B-abliterated/3ad89b65-5719-4e54-aadf-c10d3f27857a.json
deleted file mode 100644
index 0c2bddc3d..000000000
--- a/data/hfopenllm_v2/mlabonne/Daredevil-8B-abliterated/3ad89b65-5719-4e54-aadf-c10d3f27857a.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/mlabonne_Daredevil-8B-abliterated/1762652580.3686998",
-  "retrieved_timestamp": "1762652580.3686998",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "mlabonne/Daredevil-8B-abliterated",
-    "developer": "mlabonne",
-    "inference_platform": "unknown",
-    "id": "mlabonne/Daredevil-8B-abliterated",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
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-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4254272523147253
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-    },
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-    },
-    {
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-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3700964095744681
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/mlabonne/Daredevil-8B/4653087e-b528-47c1-86eb-0166538229bc.json b/data/hfopenllm_v2/mlabonne/Daredevil-8B/4653087e-b528-47c1-86eb-0166538229bc.json
deleted file mode 100644
index 209bada1d..000000000
--- a/data/hfopenllm_v2/mlabonne/Daredevil-8B/4653087e-b528-47c1-86eb-0166538229bc.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/mlabonne_Daredevil-8B/1762652580.368499",
-  "retrieved_timestamp": "1762652580.3685",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
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-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "mlabonne/Daredevil-8B",
-    "developer": "mlabonne",
-    "inference_platform": "unknown",
-    "id": "mlabonne/Daredevil-8B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
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-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
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-        "min_score": 0,
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-      },
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-    {
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-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
-        "score": 0.393875
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-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
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-        "score_type": "continuous",
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-      "score_details": {
-        "score": 0.383061835106383
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/mlabonne/Daredevil-8B/57177299-076a-4506-89a7-ce54af08df4f.json b/data/hfopenllm_v2/mlabonne/Daredevil-8B/57177299-076a-4506-89a7-ce54af08df4f.json
new file mode 100644
index 000000000..f05fd6db8
--- /dev/null
+++ b/data/hfopenllm_v2/mlabonne/Daredevil-8B/57177299-076a-4506-89a7-ce54af08df4f.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/mlabonne_Daredevil-8B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Daredevil-8B",
+    "id": "mlabonne/Daredevil-8B",
+    "developer": "mlabonne",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4548
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5194
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1065
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3079
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3939
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3831
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/mlabonne/Hermes-3-Llama-3.1-70B-lorablated/d3bdf36f-7f89-4b5a-b6cb-847b49200b5b.json b/data/hfopenllm_v2/mlabonne/Hermes-3-Llama-3.1-70B-lorablated/d3bdf36f-7f89-4b5a-b6cb-847b49200b5b.json
new file mode 100644
index 000000000..dced4ed52
--- /dev/null
+++ b/data/hfopenllm_v2/mlabonne/Hermes-3-Llama-3.1-70B-lorablated/d3bdf36f-7f89-4b5a-b6cb-847b49200b5b.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/mlabonne_Hermes-3-Llama-3.1-70B-lorablated/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Hermes-3-Llama-3.1-70B-lorablated",
+    "id": "mlabonne/Hermes-3-Llama-3.1-70B-lorablated",
+    "developer": "mlabonne",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 70.554
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3424
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6693
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2243
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3658
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5029
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4679
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/mlabonne/Meta-Llama-3.1-8B-Instruct-abliterated/605f3f59-204e-4332-8b4e-9da04871ca1b.json b/data/hfopenllm_v2/mlabonne/Meta-Llama-3.1-8B-Instruct-abliterated/605f3f59-204e-4332-8b4e-9da04871ca1b.json
deleted file mode 100644
index 1d7aebc90..000000000
--- a/data/hfopenllm_v2/mlabonne/Meta-Llama-3.1-8B-Instruct-abliterated/605f3f59-204e-4332-8b4e-9da04871ca1b.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/mlabonne_Meta-Llama-3.1-8B-Instruct-abliterated/1762652580.369122",
-  "retrieved_timestamp": "1762652580.369123",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "mlabonne/Meta-Llama-3.1-8B-Instruct-abliterated",
-    "developer": "mlabonne",
-    "inference_platform": "unknown",
-    "id": "mlabonne/Meta-Llama-3.1-8B-Instruct-abliterated",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7329463601023063
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.48740648734902187
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.06873111782477341
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.25671140939597314
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.36488541666666663
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3503158244680851
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/mlabonne/Meta-Llama-3.1-8B-Instruct-abliterated/92619b9e-dacf-4d0a-9f8b-6e131af74fa4.json b/data/hfopenllm_v2/mlabonne/Meta-Llama-3.1-8B-Instruct-abliterated/92619b9e-dacf-4d0a-9f8b-6e131af74fa4.json
new file mode 100644
index 000000000..2110b6907
--- /dev/null
+++ b/data/hfopenllm_v2/mlabonne/Meta-Llama-3.1-8B-Instruct-abliterated/92619b9e-dacf-4d0a-9f8b-6e131af74fa4.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/mlabonne_Meta-Llama-3.1-8B-Instruct-abliterated/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Meta-Llama-3.1-8B-Instruct-abliterated",
+    "id": "mlabonne/Meta-Llama-3.1-8B-Instruct-abliterated",
+    "developer": "mlabonne",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7329
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4874
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0687
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2567
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3649
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3503
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/mlabonne/NeuralBeagle14-7B/0bfec228-5bfb-4662-8be5-ad910b5bc3bd.json b/data/hfopenllm_v2/mlabonne/NeuralBeagle14-7B/0bfec228-5bfb-4662-8be5-ad910b5bc3bd.json
deleted file mode 100644
index d5fe70fc4..000000000
--- a/data/hfopenllm_v2/mlabonne/NeuralBeagle14-7B/0bfec228-5bfb-4662-8be5-ad910b5bc3bd.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/mlabonne_NeuralBeagle14-7B/1762652580.369343",
-  "retrieved_timestamp": "1762652580.369343",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "mlabonne/NeuralBeagle14-7B",
-    "developer": "mlabonne",
-    "inference_platform": "unknown",
-    "id": "mlabonne/NeuralBeagle14-7B",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.49351941736813876
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.46278709452353844
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.05211480362537765
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.28187919463087246
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.43194791666666665
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2601396276595745
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/mlabonne/NeuralBeagle14-7B/cbb408ea-ced6-4f47-9066-d4ff6d604b1e.json b/data/hfopenllm_v2/mlabonne/NeuralBeagle14-7B/cbb408ea-ced6-4f47-9066-d4ff6d604b1e.json
new file mode 100644
index 000000000..6fc2a6175
--- /dev/null
+++ b/data/hfopenllm_v2/mlabonne/NeuralBeagle14-7B/cbb408ea-ced6-4f47-9066-d4ff6d604b1e.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/mlabonne_NeuralBeagle14-7B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "NeuralBeagle14-7B",
+    "id": "mlabonne/NeuralBeagle14-7B",
+    "developer": "mlabonne",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4935
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4628
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0521
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2819
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4319
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2601
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/mlabonne/NeuralDaredevil-8B-abliterated/05fe5948-c228-46f5-ac96-3c234bc5b3ce.json b/data/hfopenllm_v2/mlabonne/NeuralDaredevil-8B-abliterated/05fe5948-c228-46f5-ac96-3c234bc5b3ce.json
deleted file mode 100644
index 6a91066d4..000000000
--- a/data/hfopenllm_v2/mlabonne/NeuralDaredevil-8B-abliterated/05fe5948-c228-46f5-ac96-3c234bc5b3ce.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/mlabonne_NeuralDaredevil-8B-abliterated/1762652580.369559",
-  "retrieved_timestamp": "1762652580.36956",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "mlabonne/NeuralDaredevil-8B-abliterated",
-    "developer": "mlabonne",
-    "inference_platform": "unknown",
-    "id": "mlabonne/NeuralDaredevil-8B-abliterated",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.756077208473517
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5110566504436299
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.09063444108761329
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3062080536912752
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4019375
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.38414228723404253
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/mlabonne/NeuralDaredevil-8B-abliterated/6999bb02-29fd-4c59-886f-184362afa06e.json b/data/hfopenllm_v2/mlabonne/NeuralDaredevil-8B-abliterated/6999bb02-29fd-4c59-886f-184362afa06e.json
new file mode 100644
index 000000000..6a7692af4
--- /dev/null
+++ b/data/hfopenllm_v2/mlabonne/NeuralDaredevil-8B-abliterated/6999bb02-29fd-4c59-886f-184362afa06e.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/mlabonne_NeuralDaredevil-8B-abliterated/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "NeuralDaredevil-8B-abliterated",
+    "id": "mlabonne/NeuralDaredevil-8B-abliterated",
+    "developer": "mlabonne",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7561
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5111
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0906
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3062
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4019
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3841
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/mlabonne/NeuralDaredevil-8B-abliterated/913d1d8e-0b02-4ce5-9b7c-403143a8c880.json b/data/hfopenllm_v2/mlabonne/NeuralDaredevil-8B-abliterated/913d1d8e-0b02-4ce5-9b7c-403143a8c880.json
new file mode 100644
index 000000000..24cd13aa3
--- /dev/null
+++ b/data/hfopenllm_v2/mlabonne/NeuralDaredevil-8B-abliterated/913d1d8e-0b02-4ce5-9b7c-403143a8c880.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/mlabonne_NeuralDaredevil-8B-abliterated/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "NeuralDaredevil-8B-abliterated",
+    "id": "mlabonne/NeuralDaredevil-8B-abliterated",
+    "developer": "mlabonne",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4162
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5124
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0853
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3029
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.415
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3802
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/mlabonne/NeuralDaredevil-8B-abliterated/d4b40160-579a-4e66-96a2-8441e5c02694.json b/data/hfopenllm_v2/mlabonne/NeuralDaredevil-8B-abliterated/d4b40160-579a-4e66-96a2-8441e5c02694.json
deleted file mode 100644
index 9a7ba956a..000000000
--- a/data/hfopenllm_v2/mlabonne/NeuralDaredevil-8B-abliterated/d4b40160-579a-4e66-96a2-8441e5c02694.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/mlabonne_NeuralDaredevil-8B-abliterated/1762652580.369774",
-  "retrieved_timestamp": "1762652580.369775",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "mlabonne/NeuralDaredevil-8B-abliterated",
-    "developer": "mlabonne",
-    "inference_platform": "unknown",
-    "id": "mlabonne/NeuralDaredevil-8B-abliterated",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41623337189767595
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5123964057729099
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.08534743202416918
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3028523489932886
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4149583333333333
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3801529255319149
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/mlabonne/OrpoLlama-3-8B/82c87bc0-29cf-4150-92f5-c80fb0028ea6.json b/data/hfopenllm_v2/mlabonne/OrpoLlama-3-8B/82c87bc0-29cf-4150-92f5-c80fb0028ea6.json
new file mode 100644
index 000000000..e19f78336
--- /dev/null
+++ b/data/hfopenllm_v2/mlabonne/OrpoLlama-3-8B/82c87bc0-29cf-4150-92f5-c80fb0028ea6.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/mlabonne/phixtral-2x2_8/a18834ad-6143-4ce2-9842-471817a60a39.json b/data/hfopenllm_v2/mlabonne/phixtral-2x2_8/a18834ad-6143-4ce2-9842-471817a60a39.json
new file mode 100644
index 000000000..f6430bd4f
--- /dev/null
+++ b/data/hfopenllm_v2/mlabonne/phixtral-2x2_8/a18834ad-6143-4ce2-9842-471817a60a39.json
@@ -0,0 +1,132 @@
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+    "developer": "mlabonne",
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+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
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+        "evaluation_description": "Exact Match on MATH Level 5",
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+        "hf_repo": "TIGER-Lab/MMLU-Pro"
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/mlx-community/Josiefied-Qwen2.5-0.5B-Instruct-abliterated-v1-float32/9bf2a7e3-e744-4ac0-853a-f5cec8ef9c57.json b/data/hfopenllm_v2/mlx-community/Josiefied-Qwen2.5-0.5B-Instruct-abliterated-v1-float32/9bf2a7e3-e744-4ac0-853a-f5cec8ef9c57.json
deleted file mode 100644
index 501ede02b..000000000
--- a/data/hfopenllm_v2/mlx-community/Josiefied-Qwen2.5-0.5B-Instruct-abliterated-v1-float32/9bf2a7e3-e744-4ac0-853a-f5cec8ef9c57.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/mlx-community/Josiefied-Qwen2.5-0.5B-Instruct-abliterated-v1-float32/be900bcf-8ec9-484f-81db-0e83975c1ecd.json b/data/hfopenllm_v2/mlx-community/Josiefied-Qwen2.5-0.5B-Instruct-abliterated-v1-float32/be900bcf-8ec9-484f-81db-0e83975c1ecd.json
new file mode 100644
index 000000000..da8271107
--- /dev/null
+++ b/data/hfopenllm_v2/mlx-community/Josiefied-Qwen2.5-0.5B-Instruct-abliterated-v1-float32/be900bcf-8ec9-484f-81db-0e83975c1ecd.json
@@ -0,0 +1,132 @@
+{
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+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
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+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
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+    "id": "mlx-community/Josiefied-Qwen2.5-0.5B-Instruct-abliterated-v1-float32",
+    "developer": "mlx-community",
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+    }
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+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
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+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
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+        "hf_repo": "TAUR-Lab/MuSR"
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+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
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+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/mlx-community/Mistral-Small-24B-Instruct-2501-bf16/d226ccf6-674b-44c6-8b11-d782b59a961a.json b/data/hfopenllm_v2/mlx-community/Mistral-Small-24B-Instruct-2501-bf16/d226ccf6-674b-44c6-8b11-d782b59a961a.json
new file mode 100644
index 000000000..b1e204eb5
--- /dev/null
+++ b/data/hfopenllm_v2/mlx-community/Mistral-Small-24B-Instruct-2501-bf16/d226ccf6-674b-44c6-8b11-d782b59a961a.json
@@ -0,0 +1,132 @@
+{
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+  "source_metadata": {
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+    "source_organization_name": "Hugging Face",
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+    "id": "mlx-community/Mistral-Small-24B-Instruct-2501-bf16",
+    "developer": "mlx-community",
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+      },
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+    },
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+        "hf_repo": "SaylorTwift/bbh"
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+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+    },
+    {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
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+        "hf_repo": "Idavidrein/gpqa"
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+      "metric_config": {
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+        "score_type": "continuous",
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+        "hf_repo": "TAUR-Lab/MuSR"
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+        "evaluation_description": "Accuracy on MUSR",
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+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5395
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/mlx-community/Mistral-Small-24B-Instruct-2501-bf16/d769592a-faa3-4269-abac-373679f42c62.json b/data/hfopenllm_v2/mlx-community/Mistral-Small-24B-Instruct-2501-bf16/d769592a-faa3-4269-abac-373679f42c62.json
deleted file mode 100644
index 9a724e1ad..000000000
--- a/data/hfopenllm_v2/mlx-community/Mistral-Small-24B-Instruct-2501-bf16/d769592a-faa3-4269-abac-373679f42c62.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/mlx-community_Mistral-Small-24B-Instruct-2501-bf16/1762652580.3707452",
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-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "mlx-community/Mistral-Small-24B-Instruct-2501-bf16",
-    "developer": "mlx-community",
-    "inference_platform": "unknown",
-    "id": "mlx-community/Mistral-Small-24B-Instruct-2501-bf16",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 23.572
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-        "lower_is_better": false,
-        "score_type": "continuous",
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-      "metric_config": {
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-        "score_type": "continuous",
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-        "lower_is_better": false,
-        "score_type": "continuous",
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-        "max_score": 1
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4618333333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-        "score": 0.5394780585106383
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-  ]
-}
diff --git a/data/hfopenllm_v2/mmnga/Llama-3-70B-japanese-suzume-vector-v0.1/d8839a1a-8d07-4e0b-bd44-2668c84f750c.json b/data/hfopenllm_v2/mmnga/Llama-3-70B-japanese-suzume-vector-v0.1/d8839a1a-8d07-4e0b-bd44-2668c84f750c.json
new file mode 100644
index 000000000..c98ce35a8
--- /dev/null
+++ b/data/hfopenllm_v2/mmnga/Llama-3-70B-japanese-suzume-vector-v0.1/d8839a1a-8d07-4e0b-bd44-2668c84f750c.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/mmnga_Llama-3-70B-japanese-suzume-vector-v0.1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-3-70B-japanese-suzume-vector-v0.1",
+    "id": "mmnga/Llama-3-70B-japanese-suzume-vector-v0.1",
+    "developer": "mmnga",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 70.554
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4649
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6542
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2326
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2861
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4141
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5224
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/mobiuslabsgmbh/DeepSeek-R1-ReDistill-Llama3-8B-v1.1/e90b04db-2eb3-483a-ab0e-ea8aef821d84.json b/data/hfopenllm_v2/mobiuslabsgmbh/DeepSeek-R1-ReDistill-Llama3-8B-v1.1/e90b04db-2eb3-483a-ab0e-ea8aef821d84.json
new file mode 100644
index 000000000..f696f25a8
--- /dev/null
+++ b/data/hfopenllm_v2/mobiuslabsgmbh/DeepSeek-R1-ReDistill-Llama3-8B-v1.1/e90b04db-2eb3-483a-ab0e-ea8aef821d84.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/mobiuslabsgmbh_DeepSeek-R1-ReDistill-Llama3-8B-v1.1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "DeepSeek-R1-ReDistill-Llama3-8B-v1.1",
+    "id": "mobiuslabsgmbh/DeepSeek-R1-ReDistill-Llama3-8B-v1.1",
+    "developer": "mobiuslabsgmbh",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3704
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3473
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3285
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.271
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3396
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2198
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/mobiuslabsgmbh/DeepSeek-R1-ReDistill-Qwen-7B-v1.1/900921ae-fbb2-4488-ab19-18987c1d008d.json b/data/hfopenllm_v2/mobiuslabsgmbh/DeepSeek-R1-ReDistill-Qwen-7B-v1.1/900921ae-fbb2-4488-ab19-18987c1d008d.json
new file mode 100644
index 000000000..195277705
--- /dev/null
+++ b/data/hfopenllm_v2/mobiuslabsgmbh/DeepSeek-R1-ReDistill-Qwen-7B-v1.1/900921ae-fbb2-4488-ab19-18987c1d008d.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/mobiuslabsgmbh_DeepSeek-R1-ReDistill-Qwen-7B-v1.1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "DeepSeek-R1-ReDistill-Qwen-7B-v1.1",
+    "id": "mobiuslabsgmbh/DeepSeek-R1-ReDistill-Qwen-7B-v1.1",
+    "developer": "mobiuslabsgmbh",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3473
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3698
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3497
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2651
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4009
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2326
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/moeru-ai/L3.1-Moe-2x8B-v0.2/0da0a7cd-c075-4bc0-8e88-8acc7212e5c3.json b/data/hfopenllm_v2/moeru-ai/L3.1-Moe-2x8B-v0.2/0da0a7cd-c075-4bc0-8e88-8acc7212e5c3.json
new file mode 100644
index 000000000..3c3e590ae
--- /dev/null
+++ b/data/hfopenllm_v2/moeru-ai/L3.1-Moe-2x8B-v0.2/0da0a7cd-c075-4bc0-8e88-8acc7212e5c3.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/moeru-ai_L3.1-Moe-2x8B-v0.2/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "L3.1-Moe-2x8B-v0.2",
+    "id": "moeru-ai/L3.1-Moe-2x8B-v0.2",
+    "developer": "moeru-ai",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MixtralForCausalLM",
+      "params_billions": 13.668
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7348
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5256
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1699
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3003
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4199
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3858
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/moeru-ai/L3.1-Moe-2x8B-v0.2/cf47622f-c921-4610-adef-bed2a4670249.json b/data/hfopenllm_v2/moeru-ai/L3.1-Moe-2x8B-v0.2/cf47622f-c921-4610-adef-bed2a4670249.json
deleted file mode 100644
index 44a689bc7..000000000
--- a/data/hfopenllm_v2/moeru-ai/L3.1-Moe-2x8B-v0.2/cf47622f-c921-4610-adef-bed2a4670249.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/moeru-ai_L3.1-Moe-2x8B-v0.2/1762652580.371698",
-  "retrieved_timestamp": "1762652580.3716989",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "moeru-ai/L3.1-Moe-2x8B-v0.2",
-    "developer": "moeru-ai",
-    "inference_platform": "unknown",
-    "id": "moeru-ai/L3.1-Moe-2x8B-v0.2",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MixtralForCausalLM",
-      "params_billions": 13.668
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7347947889377962
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5255688392585965
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.16993957703927492
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30033557046979864
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41985416666666664
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.38580452127659576
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/moeru-ai/L3.1-Moe-4x8B-v0.1/b50a49cd-2909-4dbe-9c9f-c150abb99845.json b/data/hfopenllm_v2/moeru-ai/L3.1-Moe-4x8B-v0.1/b50a49cd-2909-4dbe-9c9f-c150abb99845.json
new file mode 100644
index 000000000..e9612c059
--- /dev/null
+++ b/data/hfopenllm_v2/moeru-ai/L3.1-Moe-4x8B-v0.1/b50a49cd-2909-4dbe-9c9f-c150abb99845.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/moeru-ai_L3.1-Moe-4x8B-v0.1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "L3.1-Moe-4x8B-v0.1",
+    "id": "moeru-ai/L3.1-Moe-4x8B-v0.1",
+    "developer": "moeru-ai",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MixtralForCausalLM",
+      "params_billions": 24.942
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4332
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4939
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1299
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2592
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3609
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3454
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/moeru-ai/L3.1-Moe-4x8B-v0.1/bbcae028-046e-4e87-b991-5d7b92c42cc2.json b/data/hfopenllm_v2/moeru-ai/L3.1-Moe-4x8B-v0.1/bbcae028-046e-4e87-b991-5d7b92c42cc2.json
deleted file mode 100644
index 883211ab4..000000000
--- a/data/hfopenllm_v2/moeru-ai/L3.1-Moe-4x8B-v0.1/bbcae028-046e-4e87-b991-5d7b92c42cc2.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/moeru-ai_L3.1-Moe-4x8B-v0.1/1762652580.371937",
-  "retrieved_timestamp": "1762652580.371938",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "moeru-ai/L3.1-Moe-4x8B-v0.1",
-    "developer": "moeru-ai",
-    "inference_platform": "unknown",
-    "id": "moeru-ai/L3.1-Moe-4x8B-v0.1",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MixtralForCausalLM",
-      "params_billions": 24.942
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.433219413378724
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.49392781736367014
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1299093655589124
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.25922818791946306
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3609166666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.34541223404255317
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/moeru-ai/L3.1-Moe-4x8B-v0.2/13831d81-a9dd-43c7-bce1-240aad42fbc6.json b/data/hfopenllm_v2/moeru-ai/L3.1-Moe-4x8B-v0.2/13831d81-a9dd-43c7-bce1-240aad42fbc6.json
new file mode 100644
index 000000000..5c203bb82
--- /dev/null
+++ b/data/hfopenllm_v2/moeru-ai/L3.1-Moe-4x8B-v0.2/13831d81-a9dd-43c7-bce1-240aad42fbc6.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/moeru-ai_L3.1-Moe-4x8B-v0.2/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "L3.1-Moe-4x8B-v0.2",
+    "id": "moeru-ai/L3.1-Moe-4x8B-v0.2",
+    "developer": "moeru-ai",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MixtralForCausalLM",
+      "params_billions": 24.942
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5407
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4466
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1035
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2668
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3234
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2763
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/moeru-ai/L3.1-Moe-4x8B-v0.2/e6fe5591-f6aa-40c6-897f-f90084682109.json b/data/hfopenllm_v2/moeru-ai/L3.1-Moe-4x8B-v0.2/e6fe5591-f6aa-40c6-897f-f90084682109.json
deleted file mode 100644
index b980bd4b6..000000000
--- a/data/hfopenllm_v2/moeru-ai/L3.1-Moe-4x8B-v0.2/e6fe5591-f6aa-40c6-897f-f90084682109.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/moeru-ai_L3.1-Moe-4x8B-v0.2/1762652580.372139",
-  "retrieved_timestamp": "1762652580.37214",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "moeru-ai/L3.1-Moe-4x8B-v0.2",
-    "developer": "moeru-ai",
-    "inference_platform": "unknown",
-    "id": "moeru-ai/L3.1-Moe-4x8B-v0.2",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MixtralForCausalLM",
-      "params_billions": 24.942
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5406554608438943
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.446625675582615
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.10347432024169184
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.26677852348993286
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3233958333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.27626329787234044
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/monsterapi/Llama-3_1-8B-Instruct-orca-ORPO/56ea7cb3-3a1e-477a-bac8-26a0fde6297a.json b/data/hfopenllm_v2/monsterapi/Llama-3_1-8B-Instruct-orca-ORPO/56ea7cb3-3a1e-477a-bac8-26a0fde6297a.json
new file mode 100644
index 000000000..4f353589f
--- /dev/null
+++ b/data/hfopenllm_v2/monsterapi/Llama-3_1-8B-Instruct-orca-ORPO/56ea7cb3-3a1e-477a-bac8-26a0fde6297a.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/monsterapi_Llama-3_1-8B-Instruct-orca-ORPO/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-3_1-8B-Instruct-orca-ORPO",
+    "id": "monsterapi/Llama-3_1-8B-Instruct-orca-ORPO",
+    "developer": "monsterapi",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "?",
+      "params_billions": 16.061
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2273
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2865
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2492
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3445
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1168
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/monsterapi/Llama-3_1-8B-Instruct-orca-ORPO/b70a3980-7b0b-4bb1-878f-c2d49f9df09e.json b/data/hfopenllm_v2/monsterapi/Llama-3_1-8B-Instruct-orca-ORPO/b70a3980-7b0b-4bb1-878f-c2d49f9df09e.json
deleted file mode 100644
index c6e0f7606..000000000
--- a/data/hfopenllm_v2/monsterapi/Llama-3_1-8B-Instruct-orca-ORPO/b70a3980-7b0b-4bb1-878f-c2d49f9df09e.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/monsterapi_Llama-3_1-8B-Instruct-orca-ORPO/1762652580.3723478",
-  "retrieved_timestamp": "1762652580.3723478",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "monsterapi/Llama-3_1-8B-Instruct-orca-ORPO",
-    "developer": "monsterapi",
-    "inference_platform": "unknown",
-    "id": "monsterapi/Llama-3_1-8B-Instruct-orca-ORPO",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "?",
-      "params_billions": 16.061
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.22728914834860392
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.28653625778742803
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.0
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.24916107382550334
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.34447916666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11677194148936171
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/monsterapi/gemma-2-2b-LoRA-MonsterInstruct/8ce19b33-4f2b-4b8d-80bd-1ed399a5e9dd.json b/data/hfopenllm_v2/monsterapi/gemma-2-2b-LoRA-MonsterInstruct/8ce19b33-4f2b-4b8d-80bd-1ed399a5e9dd.json
new file mode 100644
index 000000000..1294499b7
--- /dev/null
+++ b/data/hfopenllm_v2/monsterapi/gemma-2-2b-LoRA-MonsterInstruct/8ce19b33-4f2b-4b8d-80bd-1ed399a5e9dd.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/monsterapi_gemma-2-2b-LoRA-MonsterInstruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "gemma-2-2b-LoRA-MonsterInstruct",
+    "id": "monsterapi/gemma-2-2b-LoRA-MonsterInstruct",
+    "developer": "monsterapi",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Gemma2ForCausalLM",
+      "params_billions": 2.614
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3903
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.365
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0506
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2701
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3644
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1987
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/mosaicml/mpt-7b/18ab167d-b72e-4fa9-94a8-09edc641c73f.json b/data/hfopenllm_v2/mosaicml/mpt-7b/18ab167d-b72e-4fa9-94a8-09edc641c73f.json
new file mode 100644
index 000000000..80c3fe30d
--- /dev/null
+++ b/data/hfopenllm_v2/mosaicml/mpt-7b/18ab167d-b72e-4fa9-94a8-09edc641c73f.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/mosaicml_mpt-7b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "mpt-7b",
+    "id": "mosaicml/mpt-7b",
+    "developer": "mosaicml",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MPTForCausalLM",
+      "params_billions": 7.0
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2152
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.33
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0159
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2601
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3672
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1206
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/mosaicml/mpt-7b/5e55c7ee-90f6-40a4-83ca-4a3acdad40f2.json b/data/hfopenllm_v2/mosaicml/mpt-7b/5e55c7ee-90f6-40a4-83ca-4a3acdad40f2.json
deleted file mode 100644
index a948d9691..000000000
--- a/data/hfopenllm_v2/mosaicml/mpt-7b/5e55c7ee-90f6-40a4-83ca-4a3acdad40f2.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/mosaicml_mpt-7b/1762652580.3728561",
-  "retrieved_timestamp": "1762652580.372857",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "mosaicml/mpt-7b",
-    "developer": "mosaicml",
-    "inference_platform": "unknown",
-    "id": "mosaicml/mpt-7b",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MPTForCausalLM",
-      "params_billions": 7.0
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.21519900530592162
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.32997415960801324
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.015861027190332326
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2600671140939597
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.36723958333333334
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.12059507978723404
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/mosama/Qwen2.5-1.5B-Instruct-CoT-Reflection/7df237ea-29c0-4d0a-9092-c41df4c13aca.json b/data/hfopenllm_v2/mosama/Qwen2.5-1.5B-Instruct-CoT-Reflection/7df237ea-29c0-4d0a-9092-c41df4c13aca.json
new file mode 100644
index 000000000..553a8fd2a
--- /dev/null
+++ b/data/hfopenllm_v2/mosama/Qwen2.5-1.5B-Instruct-CoT-Reflection/7df237ea-29c0-4d0a-9092-c41df4c13aca.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/mosama_Qwen2.5-1.5B-Instruct-CoT-Reflection/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-1.5B-Instruct-CoT-Reflection",
+    "id": "mosama/Qwen2.5-1.5B-Instruct-CoT-Reflection",
+    "developer": "mosama",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 1.544
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.287
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4109
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0272
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2617
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3212
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2651
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/mosama/Qwen2.5-1.5B-Instruct-CoT-Reflection/e0d9dbcc-8df2-4207-b849-2c4984340605.json b/data/hfopenllm_v2/mosama/Qwen2.5-1.5B-Instruct-CoT-Reflection/e0d9dbcc-8df2-4207-b849-2c4984340605.json
deleted file mode 100644
index a42dde576..000000000
--- a/data/hfopenllm_v2/mosama/Qwen2.5-1.5B-Instruct-CoT-Reflection/e0d9dbcc-8df2-4207-b849-2c4984340605.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/mosama_Qwen2.5-1.5B-Instruct-CoT-Reflection/1762652580.373101",
-  "retrieved_timestamp": "1762652580.3731022",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "mosama/Qwen2.5-1.5B-Instruct-CoT-Reflection",
-    "developer": "mosama",
-    "inference_platform": "unknown",
-    "id": "mosama/Qwen2.5-1.5B-Instruct-CoT-Reflection",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 1.544
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2870394996387363
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41093712633583523
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.027190332326283987
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.26174496644295303
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3211979166666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.26512632978723405
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/mrdayl/OpenCogito/aacaba19-8c17-4d20-b27b-672810272ed4.json b/data/hfopenllm_v2/mrdayl/OpenCogito/aacaba19-8c17-4d20-b27b-672810272ed4.json
deleted file mode 100644
index df7eccab4..000000000
--- a/data/hfopenllm_v2/mrdayl/OpenCogito/aacaba19-8c17-4d20-b27b-672810272ed4.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/mrdayl_OpenCogito/1762652580.373355",
-  "retrieved_timestamp": "1762652580.373356",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "mrdayl/OpenCogito",
-    "developer": "mrdayl",
-    "inference_platform": "unknown",
-    "id": "mrdayl/OpenCogito",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 3.086
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3933773498761065
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.47196973414577464
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.21827794561933533
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30033557046979864
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42401041666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3451628989361702
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/mrdayl/OpenCogito/e5dc8caa-2d86-4ff0-af8d-22d85c8faeb0.json b/data/hfopenllm_v2/mrdayl/OpenCogito/e5dc8caa-2d86-4ff0-af8d-22d85c8faeb0.json
new file mode 100644
index 000000000..f7201e897
--- /dev/null
+++ b/data/hfopenllm_v2/mrdayl/OpenCogito/e5dc8caa-2d86-4ff0-af8d-22d85c8faeb0.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/mrdayl_OpenCogito/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "OpenCogito",
+    "id": "mrdayl/OpenCogito",
+    "developer": "mrdayl",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 3.086
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3934
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.472
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2183
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3003
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.424
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3452
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/mrdayl/OpenCognito-r1/01591bb6-9daf-40fb-b802-0a007f4cc388.json b/data/hfopenllm_v2/mrdayl/OpenCognito-r1/01591bb6-9daf-40fb-b802-0a007f4cc388.json
new file mode 100644
index 000000000..745fb3a4c
--- /dev/null
+++ b/data/hfopenllm_v2/mrdayl/OpenCognito-r1/01591bb6-9daf-40fb-b802-0a007f4cc388.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/mrdayl_OpenCognito-r1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "OpenCognito-r1",
+    "id": "mrdayl/OpenCognito-r1",
+    "developer": "mrdayl",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 3.086
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4241
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4673
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1903
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2995
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4241
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3475
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/mrdayl/OpenCognito-r1/91e89f4c-d05b-476a-a8d9-0186ef8d1418.json b/data/hfopenllm_v2/mrdayl/OpenCognito-r1/91e89f4c-d05b-476a-a8d9-0186ef8d1418.json
deleted file mode 100644
index ea494979e..000000000
--- a/data/hfopenllm_v2/mrdayl/OpenCognito-r1/91e89f4c-d05b-476a-a8d9-0186ef8d1418.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
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-    "developer": "mrdayl",
-    "inference_platform": "unknown",
-    "id": "mrdayl/OpenCognito-r1",
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-        "lower_is_better": false,
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-        "lower_is_better": false,
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-  ]
-}
diff --git a/data/hfopenllm_v2/mrdayl/OpenCognito-r2/672c6991-3c7b-48c3-9e95-389175e7cd6b.json b/data/hfopenllm_v2/mrdayl/OpenCognito-r2/672c6991-3c7b-48c3-9e95-389175e7cd6b.json
deleted file mode 100644
index e933cd67f..000000000
--- a/data/hfopenllm_v2/mrdayl/OpenCognito-r2/672c6991-3c7b-48c3-9e95-389175e7cd6b.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/mrdayl_OpenCognito-r2/1762652580.373997",
-  "retrieved_timestamp": "1762652580.3739982",
-  "source_data": [
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-  "source_metadata": {
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "mrdayl/OpenCognito-r2",
-    "developer": "mrdayl",
-    "inference_platform": "unknown",
-    "id": "mrdayl/OpenCognito-r2",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 3.086
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-        "max_score": 1
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-        "score_type": "continuous",
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-        "lower_is_better": false,
-        "score_type": "continuous",
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-        "max_score": 1
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-      "score_details": {
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-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/mrdayl/OpenCognito-r2/f6c32abf-bbae-4827-9ce2-29ce20c9463e.json b/data/hfopenllm_v2/mrdayl/OpenCognito-r2/f6c32abf-bbae-4827-9ce2-29ce20c9463e.json
new file mode 100644
index 000000000..45eaf201c
--- /dev/null
+++ b/data/hfopenllm_v2/mrdayl/OpenCognito-r2/f6c32abf-bbae-4827-9ce2-29ce20c9463e.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/mrdayl_OpenCognito-r2/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "OpenCognito-r2",
+    "id": "mrdayl/OpenCognito-r2",
+    "developer": "mrdayl",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 3.086
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3959
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+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4688
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2024
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3062
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4202
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3462
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/mrdayl/OpenCognito/049eb195-7ca8-42a7-bf2a-e072b7929958.json b/data/hfopenllm_v2/mrdayl/OpenCognito/049eb195-7ca8-42a7-bf2a-e072b7929958.json
deleted file mode 100644
index 278eba393..000000000
--- a/data/hfopenllm_v2/mrdayl/OpenCognito/049eb195-7ca8-42a7-bf2a-e072b7929958.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
-    "name": "mrdayl/OpenCognito",
-    "developer": "mrdayl",
-    "inference_platform": "unknown",
-    "id": "mrdayl/OpenCognito",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
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-    }
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-        "score_type": "continuous",
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-        "score_type": "continuous",
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-    {
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-        "lower_is_better": false,
-        "score_type": "continuous",
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-        "max_score": 1
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-      "score_details": {
-        "score": 0.2978187919463087
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-    },
-    {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3443317819148936
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/mrdayl/OpenCognito/74a6605d-3557-4458-bef5-cc9420434e68.json b/data/hfopenllm_v2/mrdayl/OpenCognito/74a6605d-3557-4458-bef5-cc9420434e68.json
new file mode 100644
index 000000000..6d8c6acce
--- /dev/null
+++ b/data/hfopenllm_v2/mrdayl/OpenCognito/74a6605d-3557-4458-bef5-cc9420434e68.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/mrdayl_OpenCognito/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "OpenCognito",
+    "id": "mrdayl/OpenCognito",
+    "developer": "mrdayl",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 3.086
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4062
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4706
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2115
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2978
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4293
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3443
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/mrdayl/OpenThink/ae71ec28-7e22-42c4-8549-4334dff8a811.json b/data/hfopenllm_v2/mrdayl/OpenThink/ae71ec28-7e22-42c4-8549-4334dff8a811.json
deleted file mode 100644
index c75087634..000000000
--- a/data/hfopenllm_v2/mrdayl/OpenThink/ae71ec28-7e22-42c4-8549-4334dff8a811.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/mrdayl_OpenThink/1762652580.374203",
-  "retrieved_timestamp": "1762652580.374204",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "mrdayl/OpenThink",
-    "developer": "mrdayl",
-    "inference_platform": "unknown",
-    "id": "mrdayl/OpenThink",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 1.777
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.20540720842919008
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.34597850879756104
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.28851963746223563
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-    },
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new file mode 100644
index 000000000..383e8e8c7
--- /dev/null
+++ b/data/hfopenllm_v2/mrdayl/OpenThink/dbe6e126-d35c-4634-a544-adf374ed5d00.json
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diff --git a/data/hfopenllm_v2/mrm8488/phi-4-14B-grpo-gsm8k-3e/d68681c1-01e4-4af0-9a81-e0aaed0ae865.json b/data/hfopenllm_v2/mrm8488/phi-4-14B-grpo-gsm8k-3e/d68681c1-01e4-4af0-9a81-e0aaed0ae865.json
new file mode 100644
index 000000000..0b5f7c44b
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diff --git a/data/hfopenllm_v2/mrm8488/phi-4-14B-grpo-limo/de9620b8-7112-436f-8941-fae2c5e7f9e0.json b/data/hfopenllm_v2/mrm8488/phi-4-14B-grpo-limo/de9620b8-7112-436f-8941-fae2c5e7f9e0.json
new file mode 100644
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diff --git a/data/hfopenllm_v2/mukaj/Llama-3.1-Hawkish-8B/cafee7ac-deb6-4c4b-af8f-81548648cb14.json b/data/hfopenllm_v2/mukaj/Llama-3.1-Hawkish-8B/cafee7ac-deb6-4c4b-af8f-81548648cb14.json
new file mode 100644
index 000000000..0f6acc63a
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/natong19/Mistral-Nemo-Instruct-2407-abliterated/3e3cb617-6f19-4731-b31a-b1f4d88237d5.json b/data/hfopenllm_v2/natong19/Mistral-Nemo-Instruct-2407-abliterated/3e3cb617-6f19-4731-b31a-b1f4d88237d5.json
new file mode 100644
index 000000000..8280be34b
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@@ -0,0 +1,132 @@
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+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5048
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1322
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2869
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4033
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3518
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/natong19/Mistral-Nemo-Instruct-2407-abliterated/5256f7b6-f830-4733-a092-01470607558d.json b/data/hfopenllm_v2/natong19/Mistral-Nemo-Instruct-2407-abliterated/5256f7b6-f830-4733-a092-01470607558d.json
deleted file mode 100644
index b8e8265b3..000000000
--- a/data/hfopenllm_v2/natong19/Mistral-Nemo-Instruct-2407-abliterated/5256f7b6-f830-4733-a092-01470607558d.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/natong19_Mistral-Nemo-Instruct-2407-abliterated/1762652580.375077",
-  "retrieved_timestamp": "1762652580.375078",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "natong19/Mistral-Nemo-Instruct-2407-abliterated",
-    "developer": "natong19",
-    "inference_platform": "unknown",
-    "id": "natong19/Mistral-Nemo-Instruct-2407-abliterated",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 12.248
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6392239258500778
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5048447739625885
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.13217522658610273
-      }
-    },
-    {
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-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.28691275167785235
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4033333333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.351811835106383
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/natong19/Qwen2-7B-Instruct-abliterated/3c2c2c14-d065-4d6c-8c98-44ba8f2ca461.json b/data/hfopenllm_v2/natong19/Qwen2-7B-Instruct-abliterated/3c2c2c14-d065-4d6c-8c98-44ba8f2ca461.json
new file mode 100644
index 000000000..f21a3cf8b
--- /dev/null
+++ b/data/hfopenllm_v2/natong19/Qwen2-7B-Instruct-abliterated/3c2c2c14-d065-4d6c-8c98-44ba8f2ca461.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/natong19_Qwen2-7B-Instruct-abliterated/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2-7B-Instruct-abliterated",
+    "id": "natong19/Qwen2-7B-Instruct-abliterated",
+    "developer": "natong19",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5837
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5553
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2764
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3012
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4034
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3842
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/natong19/Qwen2-7B-Instruct-abliterated/7c8605a5-2f0d-4cc7-b840-d77cb5fdf849.json b/data/hfopenllm_v2/natong19/Qwen2-7B-Instruct-abliterated/7c8605a5-2f0d-4cc7-b840-d77cb5fdf849.json
deleted file mode 100644
index 2797577cb..000000000
--- a/data/hfopenllm_v2/natong19/Qwen2-7B-Instruct-abliterated/7c8605a5-2f0d-4cc7-b840-d77cb5fdf849.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/natong19_Qwen2-7B-Instruct-abliterated/1762652580.375325",
-  "retrieved_timestamp": "1762652580.375325",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "natong19/Qwen2-7B-Instruct-abliterated",
-    "developer": "natong19",
-    "inference_platform": "unknown",
-    "id": "natong19/Qwen2-7B-Instruct-abliterated",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.616
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5836945970026197
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5553035842403061
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2764350453172205
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3011744966442953
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4034270833333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3842253989361702
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/nazimali/Mistral-Nemo-Kurdish-Instruct/8909f916-401b-4457-ab8f-2691696049c6.json b/data/hfopenllm_v2/nazimali/Mistral-Nemo-Kurdish-Instruct/8909f916-401b-4457-ab8f-2691696049c6.json
new file mode 100644
index 000000000..642a4f5d2
--- /dev/null
+++ b/data/hfopenllm_v2/nazimali/Mistral-Nemo-Kurdish-Instruct/8909f916-401b-4457-ab8f-2691696049c6.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/nazimali_Mistral-Nemo-Kurdish-Instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Mistral-Nemo-Kurdish-Instruct",
+    "id": "nazimali/Mistral-Nemo-Kurdish-Instruct",
+    "developer": "nazimali",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 12.248
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4964
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4699
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0045
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2827
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3979
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3063
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/nazimali/Mistral-Nemo-Kurdish-Instruct/ae191508-7dad-4cac-ad4a-af95d7a15b5d.json b/data/hfopenllm_v2/nazimali/Mistral-Nemo-Kurdish-Instruct/ae191508-7dad-4cac-ad4a-af95d7a15b5d.json
new file mode 100644
index 000000000..030f58d03
--- /dev/null
+++ b/data/hfopenllm_v2/nazimali/Mistral-Nemo-Kurdish-Instruct/ae191508-7dad-4cac-ad4a-af95d7a15b5d.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/nazimali_Mistral-Nemo-Kurdish-Instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Mistral-Nemo-Kurdish-Instruct",
+    "id": "nazimali/Mistral-Nemo-Kurdish-Instruct",
+    "developer": "nazimali",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 12.248
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.486
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4721
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
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diff --git a/data/hfopenllm_v2/nazimali/Mistral-Nemo-Kurdish/507f5047-fac3-415f-b9fa-aae4311fa837.json b/data/hfopenllm_v2/nazimali/Mistral-Nemo-Kurdish/507f5047-fac3-415f-b9fa-aae4311fa837.json
new file mode 100644
index 000000000..ef98c1d8b
--- /dev/null
+++ b/data/hfopenllm_v2/nazimali/Mistral-Nemo-Kurdish/507f5047-fac3-415f-b9fa-aae4311fa837.json
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/nbeerbower/BigKartoffel-mistral-nemo-20B/0ee8716c-74f0-41b4-94a2-efc715150293.json b/data/hfopenllm_v2/nbeerbower/BigKartoffel-mistral-nemo-20B/0ee8716c-74f0-41b4-94a2-efc715150293.json
new file mode 100644
index 000000000..b7f28eb06
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+++ b/data/hfopenllm_v2/nbeerbower/BigKartoffel-mistral-nemo-20B/0ee8716c-74f0-41b4-94a2-efc715150293.json
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/nbeerbower/DoppelKartoffel-Mistral-Nemo-23B/fcf491f4-cf57-4c95-9de1-4702ab5d54c7.json b/data/hfopenllm_v2/nbeerbower/DoppelKartoffel-Mistral-Nemo-23B/fcf491f4-cf57-4c95-9de1-4702ab5d54c7.json
new file mode 100644
index 000000000..59fb04144
--- /dev/null
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/nbeerbower/DoublePotato-Mistral-Nemo-13B/4fd20259-c7c7-4da5-9013-ae2feb2175b1.json b/data/hfopenllm_v2/nbeerbower/DoublePotato-Mistral-Nemo-13B/4fd20259-c7c7-4da5-9013-ae2feb2175b1.json
new file mode 100644
index 000000000..27b871961
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+++ b/data/hfopenllm_v2/nbeerbower/DoublePotato-Mistral-Nemo-13B/4fd20259-c7c7-4da5-9013-ae2feb2175b1.json
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/nbeerbower/Dumpling-Qwen2.5-1.5B/a7c8c345-cade-48fd-93c0-0f344044d2b5.json b/data/hfopenllm_v2/nbeerbower/Dumpling-Qwen2.5-1.5B/a7c8c345-cade-48fd-93c0-0f344044d2b5.json
new file mode 100644
index 000000000..cc0a30ad9
--- /dev/null
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@@ -0,0 +1,132 @@
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diff --git a/data/hfopenllm_v2/nbeerbower/Dumpling-Qwen2.5-14B/7a8e3986-7688-4a26-a74c-a9bb47cd3e8d.json b/data/hfopenllm_v2/nbeerbower/Dumpling-Qwen2.5-14B/7a8e3986-7688-4a26-a74c-a9bb47cd3e8d.json
new file mode 100644
index 000000000..043eb77ba
--- /dev/null
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diff --git a/data/hfopenllm_v2/nbeerbower/Dumpling-Qwen2.5-7B-1k-r16/7a2ffb4d-1135-42a1-b28b-3b4e4d014979.json b/data/hfopenllm_v2/nbeerbower/Dumpling-Qwen2.5-7B-1k-r16/7a2ffb4d-1135-42a1-b28b-3b4e4d014979.json
new file mode 100644
index 000000000..c9e94af62
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diff --git a/data/hfopenllm_v2/nbeerbower/Dumpling-Qwen2.5-7B-1k-r64-2e-5/25468720-93d7-4f10-a534-30c4976657e8.json b/data/hfopenllm_v2/nbeerbower/Dumpling-Qwen2.5-7B-1k-r64-2e-5/25468720-93d7-4f10-a534-30c4976657e8.json
new file mode 100644
index 000000000..f310a40a3
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/nbeerbower/EVA-abliterated-TIES-Qwen2.5-1.5B/5ba1d617-9d9a-4c3b-b9cc-3224ace129b3.json b/data/hfopenllm_v2/nbeerbower/EVA-abliterated-TIES-Qwen2.5-1.5B/5ba1d617-9d9a-4c3b-b9cc-3224ace129b3.json
new file mode 100644
index 000000000..d59eb6c26
--- /dev/null
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diff --git a/data/hfopenllm_v2/nbeerbower/EVA-abliterated-TIES-Qwen2.5-14B/27b2b46f-1323-4ddd-9f65-d8fcd9cd6508.json b/data/hfopenllm_v2/nbeerbower/EVA-abliterated-TIES-Qwen2.5-14B/27b2b46f-1323-4ddd-9f65-d8fcd9cd6508.json
new file mode 100644
index 000000000..af7d95ee5
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diff --git a/data/hfopenllm_v2/nbeerbower/Flammades-Mistral-Nemo-12B/65917125-bb7c-4d64-ba5f-b5e4f67ec332.json b/data/hfopenllm_v2/nbeerbower/Flammades-Mistral-Nemo-12B/65917125-bb7c-4d64-ba5f-b5e4f67ec332.json
new file mode 100644
index 000000000..1fe39793f
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diff --git a/data/hfopenllm_v2/nbeerbower/Gemma2-Gutenberg-Doppel-9B/30bf22d8-b93a-4775-8073-30e14e15e35d.json b/data/hfopenllm_v2/nbeerbower/Gemma2-Gutenberg-Doppel-9B/30bf22d8-b93a-4775-8073-30e14e15e35d.json
new file mode 100644
index 000000000..4dfbf3259
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diff --git a/data/hfopenllm_v2/nbeerbower/Gutensuppe-mistral-nemo-12B/ff510365-a13d-4e44-9709-59a56e864991.json b/data/hfopenllm_v2/nbeerbower/Gutensuppe-mistral-nemo-12B/ff510365-a13d-4e44-9709-59a56e864991.json
new file mode 100644
index 000000000..0a1e89534
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/nbeerbower/Hermes2-Gutenberg2-Mistral-7B/6d1eebc4-228b-43f3-b31c-3d5b1591ae2d.json b/data/hfopenllm_v2/nbeerbower/Hermes2-Gutenberg2-Mistral-7B/6d1eebc4-228b-43f3-b31c-3d5b1591ae2d.json
new file mode 100644
index 000000000..edbb8c718
--- /dev/null
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/nbeerbower/Kartoffel-Deepfry-12B/09ba1be1-4b42-4eba-810f-a0aed64aafc0.json b/data/hfopenllm_v2/nbeerbower/Kartoffel-Deepfry-12B/09ba1be1-4b42-4eba-810f-a0aed64aafc0.json
deleted file mode 100644
index 96bd39d46..000000000
--- a/data/hfopenllm_v2/nbeerbower/Kartoffel-Deepfry-12B/09ba1be1-4b42-4eba-810f-a0aed64aafc0.json
+++ /dev/null
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diff --git a/data/hfopenllm_v2/nbeerbower/Kartoffel-Deepfry-12B/f1e8cdbb-14b7-4959-a053-fb1b37629aff.json b/data/hfopenllm_v2/nbeerbower/Kartoffel-Deepfry-12B/f1e8cdbb-14b7-4959-a053-fb1b37629aff.json
new file mode 100644
index 000000000..318400868
--- /dev/null
+++ b/data/hfopenllm_v2/nbeerbower/Kartoffel-Deepfry-12B/f1e8cdbb-14b7-4959-a053-fb1b37629aff.json
@@ -0,0 +1,132 @@
+{
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/nbeerbower/Llama-3.1-Nemotron-lorablated-70B/4145d1a0-8d6a-4d64-8a45-a89cf343ac46.json b/data/hfopenllm_v2/nbeerbower/Llama-3.1-Nemotron-lorablated-70B/4145d1a0-8d6a-4d64-8a45-a89cf343ac46.json
new file mode 100644
index 000000000..254d39ab3
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+++ b/data/hfopenllm_v2/nbeerbower/Llama-3.1-Nemotron-lorablated-70B/4145d1a0-8d6a-4d64-8a45-a89cf343ac46.json
@@ -0,0 +1,132 @@
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/nbeerbower/Llama3.1-Gutenberg-Doppel-70B/d6966190-e254-4902-8472-cac59bfbdbe0.json b/data/hfopenllm_v2/nbeerbower/Llama3.1-Gutenberg-Doppel-70B/d6966190-e254-4902-8472-cac59bfbdbe0.json
new file mode 100644
index 000000000..348fd047b
--- /dev/null
+++ b/data/hfopenllm_v2/nbeerbower/Llama3.1-Gutenberg-Doppel-70B/d6966190-e254-4902-8472-cac59bfbdbe0.json
@@ -0,0 +1,132 @@
+{
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+  "source_metadata": {
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+    "source_type": "documentation",
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+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/nbeerbower/Lyra-Gutenberg-mistral-nemo-12B/5fdb5437-f413-451d-9800-42036cda7686.json b/data/hfopenllm_v2/nbeerbower/Lyra-Gutenberg-mistral-nemo-12B/5fdb5437-f413-451d-9800-42036cda7686.json
new file mode 100644
index 000000000..16901bff0
--- /dev/null
+++ b/data/hfopenllm_v2/nbeerbower/Lyra-Gutenberg-mistral-nemo-12B/5fdb5437-f413-451d-9800-42036cda7686.json
@@ -0,0 +1,132 @@
+{
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+  "source_metadata": {
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+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
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+    "id": "nbeerbower/Lyra-Gutenberg-mistral-nemo-12B",
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3495
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5586
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1012
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3339
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4357
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3628
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/nbeerbower/Lyra4-Gutenberg-12B/02606fe0-ca08-4102-9670-8a18a9cc6f81.json b/data/hfopenllm_v2/nbeerbower/Lyra4-Gutenberg-12B/02606fe0-ca08-4102-9670-8a18a9cc6f81.json
deleted file mode 100644
index 2e558a4df..000000000
--- a/data/hfopenllm_v2/nbeerbower/Lyra4-Gutenberg-12B/02606fe0-ca08-4102-9670-8a18a9cc6f81.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/nbeerbower_Lyra4-Gutenberg-12B/1762652580.380318",
-  "retrieved_timestamp": "1762652580.380318",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "nbeerbower/Lyra4-Gutenberg-12B",
-    "developer": "nbeerbower",
-    "inference_platform": "unknown",
-    "id": "nbeerbower/Lyra4-Gutenberg-12B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 12.248
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.538669487933139
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1299093655589124
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3187919463087248
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4037916666666666
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.35713098404255317
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/nbeerbower/Lyra4-Gutenberg-12B/347577a4-2768-4472-ba48-9b174ad89724.json b/data/hfopenllm_v2/nbeerbower/Lyra4-Gutenberg-12B/347577a4-2768-4472-ba48-9b174ad89724.json
new file mode 100644
index 000000000..fb5f4a0df
--- /dev/null
+++ b/data/hfopenllm_v2/nbeerbower/Lyra4-Gutenberg-12B/347577a4-2768-4472-ba48-9b174ad89724.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/nbeerbower_Lyra4-Gutenberg-12B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Lyra4-Gutenberg-12B",
+    "id": "nbeerbower/Lyra4-Gutenberg-12B",
+    "developer": "nbeerbower",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 12.248
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2212
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5387
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1299
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3188
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4038
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3571
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/nbeerbower/Lyra4-Gutenberg2-12B/33af440e-837d-4454-9340-af0d3ee74f77.json b/data/hfopenllm_v2/nbeerbower/Lyra4-Gutenberg2-12B/33af440e-837d-4454-9340-af0d3ee74f77.json
new file mode 100644
index 000000000..6dfbf9b42
--- /dev/null
+++ b/data/hfopenllm_v2/nbeerbower/Lyra4-Gutenberg2-12B/33af440e-837d-4454-9340-af0d3ee74f77.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/nbeerbower_Lyra4-Gutenberg2-12B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Lyra4-Gutenberg2-12B",
+    "id": "nbeerbower/Lyra4-Gutenberg2-12B",
+    "developer": "nbeerbower",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 12.248
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2585
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5345
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1171
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3129
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3972
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3565
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/nbeerbower/Lyra4-Gutenberg2-12B/f9da5237-3903-4bbf-a0bc-0bcf3152f45a.json b/data/hfopenllm_v2/nbeerbower/Lyra4-Gutenberg2-12B/f9da5237-3903-4bbf-a0bc-0bcf3152f45a.json
deleted file mode 100644
index 41a55725c..000000000
--- a/data/hfopenllm_v2/nbeerbower/Lyra4-Gutenberg2-12B/f9da5237-3903-4bbf-a0bc-0bcf3152f45a.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/nbeerbower_Lyra4-Gutenberg2-12B/1762652580.380519",
-  "retrieved_timestamp": "1762652580.3805199",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "nbeerbower/Lyra4-Gutenberg2-12B",
-    "developer": "nbeerbower",
-    "inference_platform": "unknown",
-    "id": "nbeerbower/Lyra4-Gutenberg2-12B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 12.248
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.25851296781428834
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5344527944750038
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11706948640483383
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.31291946308724833
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.39721874999999995
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.35654920212765956
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/nbeerbower/Mahou-1.5-mistral-nemo-12B-lorablated/1a1f4709-8d05-4905-8105-0c3606d5ef5b.json b/data/hfopenllm_v2/nbeerbower/Mahou-1.5-mistral-nemo-12B-lorablated/1a1f4709-8d05-4905-8105-0c3606d5ef5b.json
new file mode 100644
index 000000000..5eb89a5fa
--- /dev/null
+++ b/data/hfopenllm_v2/nbeerbower/Mahou-1.5-mistral-nemo-12B-lorablated/1a1f4709-8d05-4905-8105-0c3606d5ef5b.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/nbeerbower_Mahou-1.5-mistral-nemo-12B-lorablated/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Mahou-1.5-mistral-nemo-12B-lorablated",
+    "id": "nbeerbower/Mahou-1.5-mistral-nemo-12B-lorablated",
+    "developer": "nbeerbower",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 12.248
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6825
+      }
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new file mode 100644
index 000000000..dd9733de3
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new file mode 100644
index 000000000..40710b344
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diff --git a/data/hfopenllm_v2/nbeerbower/Mistral-Nemo-Gutenberg-Doppel-12B/743b7fe2-f998-408c-98b1-af02d9c1ee2a.json b/data/hfopenllm_v2/nbeerbower/Mistral-Nemo-Gutenberg-Doppel-12B/743b7fe2-f998-408c-98b1-af02d9c1ee2a.json
new file mode 100644
index 000000000..0895b9113
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diff --git a/data/hfopenllm_v2/nbeerbower/Mistral-Nemo-Moderne-12B-FFT-experimental/0039c88b-a881-4ce0-9a0a-a10f1a8cbc70.json b/data/hfopenllm_v2/nbeerbower/Mistral-Nemo-Moderne-12B-FFT-experimental/0039c88b-a881-4ce0-9a0a-a10f1a8cbc70.json
new file mode 100644
index 000000000..361dfbd4d
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/nbeerbower/Mistral-Nemo-Moderne-12B-FFT-experimental/e7337143-6ec7-4467-b6f5-907492705cc9.json b/data/hfopenllm_v2/nbeerbower/Mistral-Nemo-Moderne-12B-FFT-experimental/e7337143-6ec7-4467-b6f5-907492705cc9.json
deleted file mode 100644
index df74851dc..000000000
--- a/data/hfopenllm_v2/nbeerbower/Mistral-Nemo-Moderne-12B-FFT-experimental/e7337143-6ec7-4467-b6f5-907492705cc9.json
+++ /dev/null
@@ -1,105 +0,0 @@
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-    "source_name": "HF Open LLM v2",
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diff --git a/data/hfopenllm_v2/nbeerbower/Mistral-Nemo-Prism-12B-v2/87c7fbd9-7648-4d0d-ac9e-8ba85860e335.json b/data/hfopenllm_v2/nbeerbower/Mistral-Nemo-Prism-12B-v2/87c7fbd9-7648-4d0d-ac9e-8ba85860e335.json
new file mode 100644
index 000000000..85ba56e3d
--- /dev/null
+++ b/data/hfopenllm_v2/nbeerbower/Mistral-Nemo-Prism-12B-v2/87c7fbd9-7648-4d0d-ac9e-8ba85860e335.json
@@ -0,0 +1,132 @@
+{
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+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Mistral-Nemo-Prism-12B-v2",
+    "id": "nbeerbower/Mistral-Nemo-Prism-12B-v2",
+    "developer": "nbeerbower",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 12.248
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
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+        "source_type": "hf_dataset",
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
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+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
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+        "min_score": 0.0,
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+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
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+        "evaluation_description": "Accuracy on MUSR",
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+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.46
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+    {
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+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
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+        "max_score": 1.0
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+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/nbeerbower/Mistral-Nemo-Prism-12B-v7/6ca3ab87-c05e-46b5-879d-4fc8bf75417b.json b/data/hfopenllm_v2/nbeerbower/Mistral-Nemo-Prism-12B-v7/6ca3ab87-c05e-46b5-879d-4fc8bf75417b.json
new file mode 100644
index 000000000..4e58c2e14
--- /dev/null
+++ b/data/hfopenllm_v2/nbeerbower/Mistral-Nemo-Prism-12B-v7/6ca3ab87-c05e-46b5-879d-4fc8bf75417b.json
@@ -0,0 +1,132 @@
+{
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+  "evaluation_id": "hfopenllm_v2/nbeerbower_Mistral-Nemo-Prism-12B-v7/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Mistral-Nemo-Prism-12B-v7",
+    "id": "nbeerbower/Mistral-Nemo-Prism-12B-v7",
+    "developer": "nbeerbower",
+    "inference_platform": "unknown",
+    "additional_details": {
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+      "architecture": "MistralForCausalLM",
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+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
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+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
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+        "hf_repo": "Idavidrein/gpqa"
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
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+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/nbeerbower/Mistral-Nemo-Prism-12B/525f1b9f-88a2-459d-bb4a-7c01a0107968.json b/data/hfopenllm_v2/nbeerbower/Mistral-Nemo-Prism-12B/525f1b9f-88a2-459d-bb4a-7c01a0107968.json
new file mode 100644
index 000000000..8eb277f61
--- /dev/null
+++ b/data/hfopenllm_v2/nbeerbower/Mistral-Nemo-Prism-12B/525f1b9f-88a2-459d-bb4a-7c01a0107968.json
@@ -0,0 +1,132 @@
+{
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+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
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+  "model_info": {
+    "name": "Mistral-Nemo-Prism-12B",
+    "id": "nbeerbower/Mistral-Nemo-Prism-12B",
+    "developer": "nbeerbower",
+    "inference_platform": "unknown",
+    "additional_details": {
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+      "architecture": "MistralForCausalLM",
+      "params_billions": 12.248
+    }
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+  "evaluation_results": [
+    {
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+        "hf_repo": "SaylorTwift/bbh"
+      },
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+        "evaluation_description": "Accuracy on BBH",
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+        "score_type": "continuous",
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+        "max_score": 1.0
+      },
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+      },
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+        "evaluation_description": "Exact Match on MATH Level 5",
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
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+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "max_score": 1.0
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+      "score_details": {
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+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/nbeerbower/Mistral-Small-Drummer-22B/503f79be-7f05-4464-ac9f-0f284f1e7965.json b/data/hfopenllm_v2/nbeerbower/Mistral-Small-Drummer-22B/503f79be-7f05-4464-ac9f-0f284f1e7965.json
new file mode 100644
index 000000000..f6ad8dc3b
--- /dev/null
+++ b/data/hfopenllm_v2/nbeerbower/Mistral-Small-Drummer-22B/503f79be-7f05-4464-ac9f-0f284f1e7965.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/nbeerbower_Mistral-Small-Drummer-22B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Mistral-Small-Drummer-22B",
+    "id": "nbeerbower/Mistral-Small-Drummer-22B",
+    "developer": "nbeerbower",
+    "inference_platform": "unknown",
+    "additional_details": {
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+      "architecture": "MistralForCausalLM",
+      "params_billions": 22.247
+    }
+  },
+  "evaluation_results": [
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
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+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+      }
+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5793
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4064
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4095
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/nbeerbower/Mistral-Small-Gutenberg-Doppel-22B/86ec7d95-6f6d-4ca6-97d5-7a910f42a06d.json b/data/hfopenllm_v2/nbeerbower/Mistral-Small-Gutenberg-Doppel-22B/86ec7d95-6f6d-4ca6-97d5-7a910f42a06d.json
new file mode 100644
index 000000000..ade724a65
--- /dev/null
+++ b/data/hfopenllm_v2/nbeerbower/Mistral-Small-Gutenberg-Doppel-22B/86ec7d95-6f6d-4ca6-97d5-7a910f42a06d.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/nbeerbower_Mistral-Small-Gutenberg-Doppel-22B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Mistral-Small-Gutenberg-Doppel-22B",
+    "id": "nbeerbower/Mistral-Small-Gutenberg-Doppel-22B",
+    "developer": "nbeerbower",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 22.247
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4893
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5859
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2183
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3465
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3971
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4124
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/nbeerbower/Nemo-Loony-12B-experimental/894b90c6-c701-47d8-b930-4e271e28962f.json b/data/hfopenllm_v2/nbeerbower/Nemo-Loony-12B-experimental/894b90c6-c701-47d8-b930-4e271e28962f.json
deleted file mode 100644
index e4ab38c02..000000000
--- a/data/hfopenllm_v2/nbeerbower/Nemo-Loony-12B-experimental/894b90c6-c701-47d8-b930-4e271e28962f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/nbeerbower_Nemo-Loony-12B-experimental/1762652580.383332",
-  "retrieved_timestamp": "1762652580.383332",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "nbeerbower/Nemo-Loony-12B-experimental",
-    "developer": "nbeerbower",
-    "inference_platform": "unknown",
-    "id": "nbeerbower/Nemo-Loony-12B-experimental",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 12.248
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37344357416100393
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.38222228797769536
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.015105740181268883
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2701342281879195
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3340625
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1589095744680851
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/nbeerbower/Nemo-Loony-12B-experimental/d472ba79-6592-4f8a-a99c-ec3f71468d3e.json b/data/hfopenllm_v2/nbeerbower/Nemo-Loony-12B-experimental/d472ba79-6592-4f8a-a99c-ec3f71468d3e.json
new file mode 100644
index 000000000..cdcb586d6
--- /dev/null
+++ b/data/hfopenllm_v2/nbeerbower/Nemo-Loony-12B-experimental/d472ba79-6592-4f8a-a99c-ec3f71468d3e.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/nbeerbower_Nemo-Loony-12B-experimental/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Nemo-Loony-12B-experimental",
+    "id": "nbeerbower/Nemo-Loony-12B-experimental",
+    "developer": "nbeerbower",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 12.248
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3734
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3822
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0151
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2701
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3341
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1589
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/nbeerbower/Nemoties-ChatML-12B/3644fc16-b0fa-42d7-b17a-eb8f8332193f.json b/data/hfopenllm_v2/nbeerbower/Nemoties-ChatML-12B/3644fc16-b0fa-42d7-b17a-eb8f8332193f.json
deleted file mode 100644
index 5fc725d06..000000000
--- a/data/hfopenllm_v2/nbeerbower/Nemoties-ChatML-12B/3644fc16-b0fa-42d7-b17a-eb8f8332193f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/nbeerbower_Nemoties-ChatML-12B/1762652580.383542",
-  "retrieved_timestamp": "1762652580.383543",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "nbeerbower/Nemoties-ChatML-12B",
-    "developer": "nbeerbower",
-    "inference_platform": "unknown",
-    "id": "nbeerbower/Nemoties-ChatML-12B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 12.248
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6381999760635115
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5470252374810588
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.07854984894259819
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.29697986577181207
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.45086458333333335
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3550531914893617
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/nbeerbower/Nemoties-ChatML-12B/6ddc052c-6bda-4d8e-ad97-20d881c8cfb7.json b/data/hfopenllm_v2/nbeerbower/Nemoties-ChatML-12B/6ddc052c-6bda-4d8e-ad97-20d881c8cfb7.json
new file mode 100644
index 000000000..2c18c82d6
--- /dev/null
+++ b/data/hfopenllm_v2/nbeerbower/Nemoties-ChatML-12B/6ddc052c-6bda-4d8e-ad97-20d881c8cfb7.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/nbeerbower_Nemoties-ChatML-12B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Nemoties-ChatML-12B",
+    "id": "nbeerbower/Nemoties-ChatML-12B",
+    "developer": "nbeerbower",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 12.248
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6382
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.547
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0785
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.297
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4509
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/nbeerbower/Qwen2.5-Gutenberg-Doppel-14B/76d1aed8-80fe-4b4f-bd81-ea0d6bf085c4.json b/data/hfopenllm_v2/nbeerbower/Qwen2.5-Gutenberg-Doppel-14B/76d1aed8-80fe-4b4f-bd81-ea0d6bf085c4.json
new file mode 100644
index 000000000..c994ceaa2
--- /dev/null
+++ b/data/hfopenllm_v2/nbeerbower/Qwen2.5-Gutenberg-Doppel-14B/76d1aed8-80fe-4b4f-bd81-ea0d6bf085c4.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/nbeerbower_Qwen2.5-Gutenberg-Doppel-14B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-Gutenberg-Doppel-14B",
+    "id": "nbeerbower/Qwen2.5-Gutenberg-Doppel-14B",
+    "developer": "nbeerbower",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.77
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.8091
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6382
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+    },
+    {
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+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3331
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+    },
+    {
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+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4921
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/nbeerbower/SmolNemo-12B-FFT-experimental/435e3ce7-479f-4624-978e-25d755dee811.json b/data/hfopenllm_v2/nbeerbower/SmolNemo-12B-FFT-experimental/435e3ce7-479f-4624-978e-25d755dee811.json
deleted file mode 100644
index c7b3df639..000000000
--- a/data/hfopenllm_v2/nbeerbower/SmolNemo-12B-FFT-experimental/435e3ce7-479f-4624-978e-25d755dee811.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/nbeerbower_SmolNemo-12B-FFT-experimental/1762652580.383975",
-  "retrieved_timestamp": "1762652580.383976",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "nbeerbower/SmolNemo-12B-FFT-experimental",
-    "developer": "nbeerbower",
-    "inference_platform": "unknown",
-    "id": "nbeerbower/SmolNemo-12B-FFT-experimental",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 12.248
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3348005514257725
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-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-      },
-      "score_details": {
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-    {
-      "evaluation_name": "MATH Level 5",
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-        "min_score": 0,
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    {
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-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/nbeerbower/SmolNemo-12B-FFT-experimental/d2845d6e-65dd-4448-901d-d554b3e741f3.json b/data/hfopenllm_v2/nbeerbower/SmolNemo-12B-FFT-experimental/d2845d6e-65dd-4448-901d-d554b3e741f3.json
new file mode 100644
index 000000000..baa82798c
--- /dev/null
+++ b/data/hfopenllm_v2/nbeerbower/SmolNemo-12B-FFT-experimental/d2845d6e-65dd-4448-901d-d554b3e741f3.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/nbeerbower_SmolNemo-12B-FFT-experimental/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "SmolNemo-12B-FFT-experimental",
+    "id": "nbeerbower/SmolNemo-12B-FFT-experimental",
+    "developer": "nbeerbower",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 12.248
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3348
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3336
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0128
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+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2601
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3847
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1217
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/nbeerbower/Stella-mistral-nemo-12B-v2/f7dd203f-24d8-4875-878a-12ed99e20cd3.json b/data/hfopenllm_v2/nbeerbower/Stella-mistral-nemo-12B-v2/f7dd203f-24d8-4875-878a-12ed99e20cd3.json
new file mode 100644
index 000000000..2d27ecb57
--- /dev/null
+++ b/data/hfopenllm_v2/nbeerbower/Stella-mistral-nemo-12B-v2/f7dd203f-24d8-4875-878a-12ed99e20cd3.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/nbeerbower_Stella-mistral-nemo-12B-v2/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Stella-mistral-nemo-12B-v2",
+    "id": "nbeerbower/Stella-mistral-nemo-12B-v2",
+    "developer": "nbeerbower",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 12.248
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3274
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5484
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4304
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3684
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/nbeerbower/gemma2-gutenberg-27B/287ae246-bee5-4fae-b78f-203491aa8df2.json b/data/hfopenllm_v2/nbeerbower/gemma2-gutenberg-27B/287ae246-bee5-4fae-b78f-203491aa8df2.json
new file mode 100644
index 000000000..883e02d15
--- /dev/null
+++ b/data/hfopenllm_v2/nbeerbower/gemma2-gutenberg-27B/287ae246-bee5-4fae-b78f-203491aa8df2.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/nbeerbower_gemma2-gutenberg-27B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "gemma2-gutenberg-27B",
+    "id": "nbeerbower/gemma2-gutenberg-27B",
+    "developer": "nbeerbower",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Gemma2ForCausalLM",
+      "params_billions": 27.227
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2947
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3797
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+    },
+    {
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+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
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diff --git a/data/hfopenllm_v2/nbeerbower/gemma2-gutenberg-9B/9ee493f7-e031-4593-beae-65be17678e00.json b/data/hfopenllm_v2/nbeerbower/gemma2-gutenberg-9B/9ee493f7-e031-4593-beae-65be17678e00.json
new file mode 100644
index 000000000..49d199adb
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new file mode 100644
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diff --git a/data/hfopenllm_v2/nbeerbower/llama3.1-cc-8B/043e3533-7d5c-4d45-bcd8-0dbcc8ca4819.json b/data/hfopenllm_v2/nbeerbower/llama3.1-cc-8B/043e3533-7d5c-4d45-bcd8-0dbcc8ca4819.json
new file mode 100644
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diff --git a/data/hfopenllm_v2/nbeerbower/llama3.1-kartoffeldes-70B/1b3269fb-4b16-42b6-80c0-3d54bc2b4fed.json b/data/hfopenllm_v2/nbeerbower/llama3.1-kartoffeldes-70B/1b3269fb-4b16-42b6-80c0-3d54bc2b4fed.json
new file mode 100644
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/nbeerbower/mistral-nemo-bophades-12B/ee625c29-62c4-49da-9790-e7e67233157d.json b/data/hfopenllm_v2/nbeerbower/mistral-nemo-bophades-12B/ee625c29-62c4-49da-9790-e7e67233157d.json
new file mode 100644
index 000000000..75703bbb6
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diff --git a/data/hfopenllm_v2/nbeerbower/mistral-nemo-bophades3-12B/02b16bf2-62bb-401e-9726-2135d8d610be.json b/data/hfopenllm_v2/nbeerbower/mistral-nemo-bophades3-12B/02b16bf2-62bb-401e-9726-2135d8d610be.json
new file mode 100644
index 000000000..c34d6ed08
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+++ b/data/hfopenllm_v2/nbeerbower/mistral-nemo-bophades3-12B/02b16bf2-62bb-401e-9726-2135d8d610be.json
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diff --git a/data/hfopenllm_v2/nbeerbower/mistral-nemo-cc-12B/db10c6f9-2962-46cc-aa4e-4c99c4b494d1.json b/data/hfopenllm_v2/nbeerbower/mistral-nemo-cc-12B/db10c6f9-2962-46cc-aa4e-4c99c4b494d1.json
new file mode 100644
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diff --git a/data/hfopenllm_v2/nbeerbower/mistral-nemo-gutades-12B/aa37bda0-2e0a-4361-a5b4-468154d8ac72.json b/data/hfopenllm_v2/nbeerbower/mistral-nemo-gutades-12B/aa37bda0-2e0a-4361-a5b4-468154d8ac72.json
new file mode 100644
index 000000000..4cebf3ef7
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/nbeerbower/mistral-nemo-gutenberg-12B-v2/d9a6565c-5a0b-4893-b6e0-1fc52ec55bf5.json b/data/hfopenllm_v2/nbeerbower/mistral-nemo-gutenberg-12B-v2/d9a6565c-5a0b-4893-b6e0-1fc52ec55bf5.json
new file mode 100644
index 000000000..f920c7857
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+++ b/data/hfopenllm_v2/nbeerbower/mistral-nemo-gutenberg-12B-v2/d9a6565c-5a0b-4893-b6e0-1fc52ec55bf5.json
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/nbeerbower/mistral-nemo-gutenberg-12B-v3/becf9805-83a9-4137-a938-81a61a10e4f0.json b/data/hfopenllm_v2/nbeerbower/mistral-nemo-gutenberg-12B-v3/becf9805-83a9-4137-a938-81a61a10e4f0.json
new file mode 100644
index 000000000..b760c9b8c
--- /dev/null
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diff --git a/data/hfopenllm_v2/nbeerbower/mistral-nemo-gutenberg-12B-v4/6e848120-bc31-4628-af05-30707a6dcc41.json b/data/hfopenllm_v2/nbeerbower/mistral-nemo-gutenberg-12B-v4/6e848120-bc31-4628-af05-30707a6dcc41.json
new file mode 100644
index 000000000..ab9d229a4
--- /dev/null
+++ b/data/hfopenllm_v2/nbeerbower/mistral-nemo-gutenberg-12B-v4/6e848120-bc31-4628-af05-30707a6dcc41.json
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diff --git a/data/hfopenllm_v2/nbeerbower/mistral-nemo-gutenberg-12B/864af855-71b0-4b11-ae3f-56294a7d0db9.json b/data/hfopenllm_v2/nbeerbower/mistral-nemo-gutenberg-12B/864af855-71b0-4b11-ae3f-56294a7d0db9.json
new file mode 100644
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diff --git a/data/hfopenllm_v2/nbeerbower/mistral-nemo-gutenberg2-12B-test/285bd390-1dd9-4db2-af45-68dea557da3c.json b/data/hfopenllm_v2/nbeerbower/mistral-nemo-gutenberg2-12B-test/285bd390-1dd9-4db2-af45-68dea557da3c.json
new file mode 100644
index 000000000..dc74a419a
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+++ b/data/hfopenllm_v2/nbeerbower/mistral-nemo-gutenberg2-12B-test/285bd390-1dd9-4db2-af45-68dea557da3c.json
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diff --git a/data/hfopenllm_v2/nbeerbower/mistral-nemo-kartoffel-12B/459e2375-1a15-4129-bee0-dc8852d531e2.json b/data/hfopenllm_v2/nbeerbower/mistral-nemo-kartoffel-12B/459e2375-1a15-4129-bee0-dc8852d531e2.json
new file mode 100644
index 000000000..0d4219fba
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+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3585
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/nbeerbower/mistral-nemo-narwhal-12B/7b4c7d92-f581-4057-bec9-e3a8c6a5386e.json b/data/hfopenllm_v2/nbeerbower/mistral-nemo-narwhal-12B/7b4c7d92-f581-4057-bec9-e3a8c6a5386e.json
new file mode 100644
index 000000000..d17ad6414
--- /dev/null
+++ b/data/hfopenllm_v2/nbeerbower/mistral-nemo-narwhal-12B/7b4c7d92-f581-4057-bec9-e3a8c6a5386e.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/nbeerbower_mistral-nemo-narwhal-12B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "mistral-nemo-narwhal-12B",
+    "id": "nbeerbower/mistral-nemo-narwhal-12B",
+    "developer": "nbeerbower",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 12.248
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5549
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5057
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0582
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.271
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3847
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3483
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/nbeerbower/mistral-nemo-wissenschaft-12B/5f68a07f-4442-4453-92c3-b615323da96b.json b/data/hfopenllm_v2/nbeerbower/mistral-nemo-wissenschaft-12B/5f68a07f-4442-4453-92c3-b615323da96b.json
deleted file mode 100644
index 32c6c0ce1..000000000
--- a/data/hfopenllm_v2/nbeerbower/mistral-nemo-wissenschaft-12B/5f68a07f-4442-4453-92c3-b615323da96b.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/nbeerbower_mistral-nemo-wissenschaft-12B/1762652580.388424",
-  "retrieved_timestamp": "1762652580.388424",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "nbeerbower/mistral-nemo-wissenschaft-12B",
-    "developer": "nbeerbower",
-    "inference_platform": "unknown",
-    "id": "nbeerbower/mistral-nemo-wissenschaft-12B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 12.248
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6520133246452745
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5040306120993181
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1216012084592145
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-    },
-    {
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-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.29278523489932884
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41778125
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.35322473404255317
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/nbeerbower/mistral-nemo-wissenschaft-12B/7ceab841-f9a3-455b-9314-243d8fc3cd11.json b/data/hfopenllm_v2/nbeerbower/mistral-nemo-wissenschaft-12B/7ceab841-f9a3-455b-9314-243d8fc3cd11.json
new file mode 100644
index 000000000..5c64e8342
--- /dev/null
+++ b/data/hfopenllm_v2/nbeerbower/mistral-nemo-wissenschaft-12B/7ceab841-f9a3-455b-9314-243d8fc3cd11.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/nbeerbower_mistral-nemo-wissenschaft-12B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "mistral-nemo-wissenschaft-12B",
+    "id": "nbeerbower/mistral-nemo-wissenschaft-12B",
+    "developer": "nbeerbower",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 12.248
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.652
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.504
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1216
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2928
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4178
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3532
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/nbrahme/IndusQ/b372e098-0e1c-410a-8f5a-1bd9a910aa6b.json b/data/hfopenllm_v2/nbrahme/IndusQ/b372e098-0e1c-410a-8f5a-1bd9a910aa6b.json
deleted file mode 100644
index 4ade79d88..000000000
--- a/data/hfopenllm_v2/nbrahme/IndusQ/b372e098-0e1c-410a-8f5a-1bd9a910aa6b.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/nbrahme_IndusQ/1762652580.38863",
-  "retrieved_timestamp": "1762652580.388631",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "nbrahme/IndusQ",
-    "developer": "nbrahme",
-    "inference_platform": "unknown",
-    "id": "nbrahme/IndusQ",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "GPT2LMHeadModel",
-      "params_billions": 1.176
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.24397487555242311
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30624035198474986
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.0007552870090634441
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.26510067114093966
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3366354166666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11203457446808511
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/nbrahme/IndusQ/c1e2fb45-22d8-4eb4-8971-ce89c3048b9e.json b/data/hfopenllm_v2/nbrahme/IndusQ/c1e2fb45-22d8-4eb4-8971-ce89c3048b9e.json
new file mode 100644
index 000000000..21a04901a
--- /dev/null
+++ b/data/hfopenllm_v2/nbrahme/IndusQ/c1e2fb45-22d8-4eb4-8971-ce89c3048b9e.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/nbrahme_IndusQ/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "IndusQ",
+    "id": "nbrahme/IndusQ",
+    "developer": "nbrahme",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "GPT2LMHeadModel",
+      "params_billions": 1.176
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.244
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3062
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0008
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2651
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3366
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.112
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/necva/IE-cont-Llama3.1-8B/68cb2ca1-1648-41a2-92b7-969bccdca4ee.json b/data/hfopenllm_v2/necva/IE-cont-Llama3.1-8B/68cb2ca1-1648-41a2-92b7-969bccdca4ee.json
new file mode 100644
index 000000000..baefc2323
--- /dev/null
+++ b/data/hfopenllm_v2/necva/IE-cont-Llama3.1-8B/68cb2ca1-1648-41a2-92b7-969bccdca4ee.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/necva_IE-cont-Llama3.1-8B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "IE-cont-Llama3.1-8B",
+    "id": "necva/IE-cont-Llama3.1-8B",
+    "developer": "necva",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2049
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2912
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2601
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3575
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1167
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/necva/replica-IEPile/5f285d61-5e4b-4c5c-8960-c10313d76ae3.json b/data/hfopenllm_v2/necva/replica-IEPile/5f285d61-5e4b-4c5c-8960-c10313d76ae3.json
new file mode 100644
index 000000000..065eb3646
--- /dev/null
+++ b/data/hfopenllm_v2/necva/replica-IEPile/5f285d61-5e4b-4c5c-8960-c10313d76ae3.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/necva_replica-IEPile/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "replica-IEPile",
+    "id": "necva/replica-IEPile",
+    "developer": "necva",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 4.65
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4678
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4779
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1239
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3062
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3998
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3561
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/necva/replica-IEPile/86a45185-8753-4cd0-818f-63a62f03423f.json b/data/hfopenllm_v2/necva/replica-IEPile/86a45185-8753-4cd0-818f-63a62f03423f.json
deleted file mode 100644
index 56c34f99b..000000000
--- a/data/hfopenllm_v2/necva/replica-IEPile/86a45185-8753-4cd0-818f-63a62f03423f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/necva_replica-IEPile/1762652580.389119",
-  "retrieved_timestamp": "1762652580.38912",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "necva/replica-IEPile",
-    "developer": "necva",
-    "inference_platform": "unknown",
-    "id": "necva/replica-IEPile",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 4.65
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4677910167245132
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4778579652970231
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.12386706948640483
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3062080536912752
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3997604166666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3560505319148936
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/neopolita/jessi-v0.1-bf16-falcon3-7b-instruct/3af19898-8590-4aec-b324-46c7fbf596d3.json b/data/hfopenllm_v2/neopolita/jessi-v0.1-bf16-falcon3-7b-instruct/3af19898-8590-4aec-b324-46c7fbf596d3.json
new file mode 100644
index 000000000..a9a8b3aca
--- /dev/null
+++ b/data/hfopenllm_v2/neopolita/jessi-v0.1-bf16-falcon3-7b-instruct/3af19898-8590-4aec-b324-46c7fbf596d3.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/neopolita_jessi-v0.1-bf16-falcon3-7b-instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "jessi-v0.1-bf16-falcon3-7b-instruct",
+    "id": "neopolita/jessi-v0.1-bf16-falcon3-7b-instruct",
+    "developer": "neopolita",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 7.456
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7527
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5516
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3807
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3029
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4825
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3924
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/neopolita/jessi-v0.1-bf16-falcon3-7b-instruct/5063eae6-e8f3-41c6-ab11-cfcc4a0a0cf3.json b/data/hfopenllm_v2/neopolita/jessi-v0.1-bf16-falcon3-7b-instruct/5063eae6-e8f3-41c6-ab11-cfcc4a0a0cf3.json
deleted file mode 100644
index bcc83f1a9..000000000
--- a/data/hfopenllm_v2/neopolita/jessi-v0.1-bf16-falcon3-7b-instruct/5063eae6-e8f3-41c6-ab11-cfcc4a0a0cf3.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/neopolita_jessi-v0.1-bf16-falcon3-7b-instruct/1762652580.389358",
-  "retrieved_timestamp": "1762652580.389359",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "neopolita/jessi-v0.1-bf16-falcon3-7b-instruct",
-    "developer": "neopolita",
-    "inference_platform": "unknown",
-    "id": "neopolita/jessi-v0.1-bf16-falcon3-7b-instruct",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 7.456
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7527050448365891
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5516128933222162
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3806646525679758
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3028523489932886
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.48248958333333336
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3923703457446808
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/neopolita/jessi-v0.1-falcon3-10b-instruct/c2ee0925-6e4a-4d3b-80be-b8b98156e3db.json b/data/hfopenllm_v2/neopolita/jessi-v0.1-falcon3-10b-instruct/c2ee0925-6e4a-4d3b-80be-b8b98156e3db.json
deleted file mode 100644
index beaec7e6a..000000000
--- a/data/hfopenllm_v2/neopolita/jessi-v0.1-falcon3-10b-instruct/c2ee0925-6e4a-4d3b-80be-b8b98156e3db.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/neopolita_jessi-v0.1-falcon3-10b-instruct/1762652580.389616",
-  "retrieved_timestamp": "1762652580.389617",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "neopolita/jessi-v0.1-falcon3-10b-instruct",
-    "developer": "neopolita",
-    "inference_platform": "unknown",
-    "id": "neopolita/jessi-v0.1-falcon3-10b-instruct",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 10.306
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.755152994055772
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5952883626256132
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2001510574018127
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3187919463087248
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42785416666666665
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4187998670212766
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/neopolita/jessi-v0.1-falcon3-10b-instruct/e8472266-6d03-439f-bd6b-e3ac5ef2cf09.json b/data/hfopenllm_v2/neopolita/jessi-v0.1-falcon3-10b-instruct/e8472266-6d03-439f-bd6b-e3ac5ef2cf09.json
new file mode 100644
index 000000000..e86ad0154
--- /dev/null
+++ b/data/hfopenllm_v2/neopolita/jessi-v0.1-falcon3-10b-instruct/e8472266-6d03-439f-bd6b-e3ac5ef2cf09.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/neopolita_jessi-v0.1-falcon3-10b-instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "jessi-v0.1-falcon3-10b-instruct",
+    "id": "neopolita/jessi-v0.1-falcon3-10b-instruct",
+    "developer": "neopolita",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 10.306
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7552
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5953
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2002
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3188
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4279
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4188
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/neopolita/jessi-v0.1-qwen2.5-7b-instruct/3f578b45-48f9-4022-991c-32a71706aba3.json b/data/hfopenllm_v2/neopolita/jessi-v0.1-qwen2.5-7b-instruct/3f578b45-48f9-4022-991c-32a71706aba3.json
new file mode 100644
index 000000000..428e15bc6
--- /dev/null
+++ b/data/hfopenllm_v2/neopolita/jessi-v0.1-qwen2.5-7b-instruct/3f578b45-48f9-4022-991c-32a71706aba3.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/neopolita_jessi-v0.1-qwen2.5-7b-instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "jessi-v0.1-qwen2.5-7b-instruct",
+    "id": "neopolita/jessi-v0.1-qwen2.5-7b-instruct",
+    "developer": "neopolita",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7327
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5292
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4086
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.297
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3914
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4228
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/neopolita/jessi-v0.1-qwen2.5-7b-instruct/9b1f077d-5893-417c-ac87-1d0beb39b750.json b/data/hfopenllm_v2/neopolita/jessi-v0.1-qwen2.5-7b-instruct/9b1f077d-5893-417c-ac87-1d0beb39b750.json
deleted file mode 100644
index b6ee1c77d..000000000
--- a/data/hfopenllm_v2/neopolita/jessi-v0.1-qwen2.5-7b-instruct/9b1f077d-5893-417c-ac87-1d0beb39b750.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/neopolita_jessi-v0.1-qwen2.5-7b-instruct/1762652580.3898308",
-  "retrieved_timestamp": "1762652580.3898308",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "neopolita/jessi-v0.1-qwen2.5-7b-instruct",
-    "developer": "neopolita",
-    "inference_platform": "unknown",
-    "id": "neopolita/jessi-v0.1-qwen2.5-7b-instruct",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.616
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7326715337526651
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5292315105257686
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4086102719033233
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.29697986577181207
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3913645833333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42278922872340424
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/neopolita/jessi-v0.1-virtuoso-small/b4630d14-950d-4dbf-8897-74d46dd51130.json b/data/hfopenllm_v2/neopolita/jessi-v0.1-virtuoso-small/b4630d14-950d-4dbf-8897-74d46dd51130.json
deleted file mode 100644
index 334d2fbf1..000000000
--- a/data/hfopenllm_v2/neopolita/jessi-v0.1-virtuoso-small/b4630d14-950d-4dbf-8897-74d46dd51130.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/neopolita_jessi-v0.1-virtuoso-small/1762652580.3900428",
-  "retrieved_timestamp": "1762652580.3900428",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "neopolita/jessi-v0.1-virtuoso-small",
-    "developer": "neopolita",
-    "inference_platform": "unknown",
-    "id": "neopolita/jessi-v0.1-virtuoso-small",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 14.77
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7959192719761344
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6442861439957068
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.33987915407854985
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.33053691275167785
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.43616666666666665
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5129654255319149
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/neopolita/jessi-v0.1-virtuoso-small/ef8c22a7-3898-422e-88e2-1a8c14ab5bf2.json b/data/hfopenllm_v2/neopolita/jessi-v0.1-virtuoso-small/ef8c22a7-3898-422e-88e2-1a8c14ab5bf2.json
new file mode 100644
index 000000000..d6a3717c7
--- /dev/null
+++ b/data/hfopenllm_v2/neopolita/jessi-v0.1-virtuoso-small/ef8c22a7-3898-422e-88e2-1a8c14ab5bf2.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/neopolita_jessi-v0.1-virtuoso-small/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "jessi-v0.1-virtuoso-small",
+    "id": "neopolita/jessi-v0.1-virtuoso-small",
+    "developer": "neopolita",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.77
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7959
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6443
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3399
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3305
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4362
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.513
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/neopolita/jessi-v0.2-falcon3-10b-instruct/4a73436e-e2b7-4c03-b4b2-80d0ed8e389a.json b/data/hfopenllm_v2/neopolita/jessi-v0.2-falcon3-10b-instruct/4a73436e-e2b7-4c03-b4b2-80d0ed8e389a.json
deleted file mode 100644
index 08ac0e1fb..000000000
--- a/data/hfopenllm_v2/neopolita/jessi-v0.2-falcon3-10b-instruct/4a73436e-e2b7-4c03-b4b2-80d0ed8e389a.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/neopolita_jessi-v0.2-falcon3-10b-instruct/1762652580.390252",
-  "retrieved_timestamp": "1762652580.390252",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "neopolita/jessi-v0.2-falcon3-10b-instruct",
-    "developer": "neopolita",
-    "inference_platform": "unknown",
-    "id": "neopolita/jessi-v0.2-falcon3-10b-instruct",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 10.306
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7768099753099553
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6204846671314362
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2122356495468278
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3288590604026846
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42813541666666666
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4354222074468085
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/neopolita/jessi-v0.2-falcon3-10b-instruct/81630ea2-d496-4872-92b7-e476badaf50d.json b/data/hfopenllm_v2/neopolita/jessi-v0.2-falcon3-10b-instruct/81630ea2-d496-4872-92b7-e476badaf50d.json
new file mode 100644
index 000000000..26642a60f
--- /dev/null
+++ b/data/hfopenllm_v2/neopolita/jessi-v0.2-falcon3-10b-instruct/81630ea2-d496-4872-92b7-e476badaf50d.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/neopolita_jessi-v0.2-falcon3-10b-instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "jessi-v0.2-falcon3-10b-instruct",
+    "id": "neopolita/jessi-v0.2-falcon3-10b-instruct",
+    "developer": "neopolita",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 10.306
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7768
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6205
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2122
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3289
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4281
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4354
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/neopolita/jessi-v0.2-falcon3-7b-instruct/9436d04a-9c81-47ad-a7b8-496e14058627.json b/data/hfopenllm_v2/neopolita/jessi-v0.2-falcon3-7b-instruct/9436d04a-9c81-47ad-a7b8-496e14058627.json
new file mode 100644
index 000000000..b8f742e94
--- /dev/null
+++ b/data/hfopenllm_v2/neopolita/jessi-v0.2-falcon3-7b-instruct/9436d04a-9c81-47ad-a7b8-496e14058627.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/neopolita_jessi-v0.2-falcon3-7b-instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "jessi-v0.2-falcon3-7b-instruct",
+    "id": "neopolita/jessi-v0.2-falcon3-7b-instruct",
+    "developer": "neopolita",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 7.456
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5771
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5363
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2538
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3171
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4479
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3905
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/neopolita/jessi-v0.2-falcon3-7b-instruct/bd8025f1-66d4-4644-af1b-ca5366a32964.json b/data/hfopenllm_v2/neopolita/jessi-v0.2-falcon3-7b-instruct/bd8025f1-66d4-4644-af1b-ca5366a32964.json
deleted file mode 100644
index 85e72cbf9..000000000
--- a/data/hfopenllm_v2/neopolita/jessi-v0.2-falcon3-7b-instruct/bd8025f1-66d4-4644-af1b-ca5366a32964.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/neopolita_jessi-v0.2-falcon3-7b-instruct/1762652580.39046",
-  "retrieved_timestamp": "1762652580.39046",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "neopolita/jessi-v0.2-falcon3-7b-instruct",
-    "developer": "neopolita",
-    "inference_platform": "unknown",
-    "id": "neopolita/jessi-v0.2-falcon3-7b-instruct",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 7.456
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5770754930251731
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5363079188886575
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2537764350453172
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.31711409395973156
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.44788541666666665
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3904587765957447
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/neopolita/jessi-v0.3-falcon3-7b-instruct/95281cbf-6f27-4e17-b21f-9a0604d5629b.json b/data/hfopenllm_v2/neopolita/jessi-v0.3-falcon3-7b-instruct/95281cbf-6f27-4e17-b21f-9a0604d5629b.json
deleted file mode 100644
index 1ef4f5ea5..000000000
--- a/data/hfopenllm_v2/neopolita/jessi-v0.3-falcon3-7b-instruct/95281cbf-6f27-4e17-b21f-9a0604d5629b.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/neopolita_jessi-v0.3-falcon3-7b-instruct/1762652580.390663",
-  "retrieved_timestamp": "1762652580.3906639",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "neopolita/jessi-v0.3-falcon3-7b-instruct",
-    "developer": "neopolita",
-    "inference_platform": "unknown",
-    "id": "neopolita/jessi-v0.3-falcon3-7b-instruct",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 7.456
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7509064836855099
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.538793502664194
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.18882175226586104
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3196308724832215
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.46915625
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3970246010638298
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/neopolita/jessi-v0.3-falcon3-7b-instruct/f1e6e54e-cb97-4980-8957-2190ee5c4c34.json b/data/hfopenllm_v2/neopolita/jessi-v0.3-falcon3-7b-instruct/f1e6e54e-cb97-4980-8957-2190ee5c4c34.json
new file mode 100644
index 000000000..ed27b7620
--- /dev/null
+++ b/data/hfopenllm_v2/neopolita/jessi-v0.3-falcon3-7b-instruct/f1e6e54e-cb97-4980-8957-2190ee5c4c34.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/neopolita_jessi-v0.3-falcon3-7b-instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "jessi-v0.3-falcon3-7b-instruct",
+    "id": "neopolita/jessi-v0.3-falcon3-7b-instruct",
+    "developer": "neopolita",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 7.456
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7509
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5388
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1888
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3196
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4692
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.397
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/neopolita/jessi-v0.4-falcon3-7b-instruct/30914dd3-c857-4aaf-b6b9-d1c7e4917e89.json b/data/hfopenllm_v2/neopolita/jessi-v0.4-falcon3-7b-instruct/30914dd3-c857-4aaf-b6b9-d1c7e4917e89.json
new file mode 100644
index 000000000..b113a0091
--- /dev/null
+++ b/data/hfopenllm_v2/neopolita/jessi-v0.4-falcon3-7b-instruct/30914dd3-c857-4aaf-b6b9-d1c7e4917e89.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/neopolita_jessi-v0.4-falcon3-7b-instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "jessi-v0.4-falcon3-7b-instruct",
+    "id": "neopolita/jessi-v0.4-falcon3-7b-instruct",
+    "developer": "neopolita",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 7.456
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7604
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5522
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3769
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3029
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4971
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4004
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/neopolita/jessi-v0.4-falcon3-7b-instruct/514b1b8c-d80a-4851-afec-e04968b2e733.json b/data/hfopenllm_v2/neopolita/jessi-v0.4-falcon3-7b-instruct/514b1b8c-d80a-4851-afec-e04968b2e733.json
deleted file mode 100644
index f3b93fd94..000000000
--- a/data/hfopenllm_v2/neopolita/jessi-v0.4-falcon3-7b-instruct/514b1b8c-d80a-4851-afec-e04968b2e733.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/neopolita_jessi-v0.4-falcon3-7b-instruct/1762652580.39086",
-  "retrieved_timestamp": "1762652580.390861",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "neopolita/jessi-v0.4-falcon3-7b-instruct",
-    "developer": "neopolita",
-    "inference_platform": "unknown",
-    "id": "neopolita/jessi-v0.4-falcon3-7b-instruct",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 7.456
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7603735865281896
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5521668757306609
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3768882175226586
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3028523489932886
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.49712500000000004
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.40043218085106386
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/neopolita/jessi-v0.5-falcon3-7b-instruct/1c389a32-68b3-47c0-a6b8-2c2291293002.json b/data/hfopenllm_v2/neopolita/jessi-v0.5-falcon3-7b-instruct/1c389a32-68b3-47c0-a6b8-2c2291293002.json
new file mode 100644
index 000000000..d7d351e7b
--- /dev/null
+++ b/data/hfopenllm_v2/neopolita/jessi-v0.5-falcon3-7b-instruct/1c389a32-68b3-47c0-a6b8-2c2291293002.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/neopolita_jessi-v0.5-falcon3-7b-instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "jessi-v0.5-falcon3-7b-instruct",
+    "id": "neopolita/jessi-v0.5-falcon3-7b-instruct",
+    "developer": "neopolita",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 7.456
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7412
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.559
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3739
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3112
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4865
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3966
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/neopolita/jessi-v0.5-falcon3-7b-instruct/6736897b-390a-4c19-8a04-9b606c1705b1.json b/data/hfopenllm_v2/neopolita/jessi-v0.5-falcon3-7b-instruct/6736897b-390a-4c19-8a04-9b606c1705b1.json
deleted file mode 100644
index 5b6368cf2..000000000
--- a/data/hfopenllm_v2/neopolita/jessi-v0.5-falcon3-7b-instruct/6736897b-390a-4c19-8a04-9b606c1705b1.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/neopolita_jessi-v0.5-falcon3-7b-instruct/1762652580.391073",
-  "retrieved_timestamp": "1762652580.391074",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "neopolita/jessi-v0.5-falcon3-7b-instruct",
-    "developer": "neopolita",
-    "inference_platform": "unknown",
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-      "metric_config": {
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diff --git a/data/hfopenllm_v2/neopolita/jessi-v0.6-falcon3-7b-instruct/5b934386-a0e9-437d-bf9e-a51074415a1e.json b/data/hfopenllm_v2/neopolita/jessi-v0.6-falcon3-7b-instruct/5b934386-a0e9-437d-bf9e-a51074415a1e.json
deleted file mode 100644
index 16f5ba0e6..000000000
--- a/data/hfopenllm_v2/neopolita/jessi-v0.6-falcon3-7b-instruct/5b934386-a0e9-437d-bf9e-a51074415a1e.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/neopolita_jessi-v0.6-falcon3-7b-instruct/1762652580.391277",
-  "retrieved_timestamp": "1762652580.391277",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
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-  "source_metadata": {
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "neopolita/jessi-v0.6-falcon3-7b-instruct",
-    "developer": "neopolita",
-    "inference_platform": "unknown",
-    "id": "neopolita/jessi-v0.6-falcon3-7b-instruct",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 7.456
-    }
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-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
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-        "lower_is_better": false,
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-        "max_score": 1
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-        "max_score": 1
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-      "evaluation_name": "MATH Level 5",
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-    {
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-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.49042708333333335
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-    }
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-}
diff --git a/data/hfopenllm_v2/neopolita/jessi-v0.6-falcon3-7b-instruct/e759a217-6571-446d-9bf9-d1512793f307.json b/data/hfopenllm_v2/neopolita/jessi-v0.6-falcon3-7b-instruct/e759a217-6571-446d-9bf9-d1512793f307.json
new file mode 100644
index 000000000..02cb96cd3
--- /dev/null
+++ b/data/hfopenllm_v2/neopolita/jessi-v0.6-falcon3-7b-instruct/e759a217-6571-446d-9bf9-d1512793f307.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/neopolita_jessi-v0.6-falcon3-7b-instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "jessi-v0.6-falcon3-7b-instruct",
+    "id": "neopolita/jessi-v0.6-falcon3-7b-instruct",
+    "developer": "neopolita",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 7.456
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7402
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5509
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3565
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3003
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4904
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3957
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/neopolita/loki-v0.1-virtuoso/753f3b21-7365-4117-b2a0-a91f03ec3d39.json b/data/hfopenllm_v2/neopolita/loki-v0.1-virtuoso/753f3b21-7365-4117-b2a0-a91f03ec3d39.json
new file mode 100644
index 000000000..21bbf2ac9
--- /dev/null
+++ b/data/hfopenllm_v2/neopolita/loki-v0.1-virtuoso/753f3b21-7365-4117-b2a0-a91f03ec3d39.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/neopolita_loki-v0.1-virtuoso/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "loki-v0.1-virtuoso",
+    "id": "neopolita/loki-v0.1-virtuoso",
+    "developer": "neopolita",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.77
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7819
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6467
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3391
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3507
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4375
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5129
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/neopolita/loki-v0.1-virtuoso/907047d7-1767-4009-8e04-02f5dc366355.json b/data/hfopenllm_v2/neopolita/loki-v0.1-virtuoso/907047d7-1767-4009-8e04-02f5dc366355.json
deleted file mode 100644
index 07de7bb12..000000000
--- a/data/hfopenllm_v2/neopolita/loki-v0.1-virtuoso/907047d7-1767-4009-8e04-02f5dc366355.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/neopolita_loki-v0.1-virtuoso/1762652580.3914938",
-  "retrieved_timestamp": "1762652580.391495",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "neopolita/loki-v0.1-virtuoso",
-    "developer": "neopolita",
-    "inference_platform": "unknown",
-    "id": "neopolita/loki-v0.1-virtuoso",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 14.77
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7819308324135517
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.35067114093959734
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.43753125
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5128823138297872
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/netcat420/DeepSeek-R1-Distill-Qwen-MFANN-Slerp-7b/297ef102-67c1-4e9c-b418-fed026bb1f8a.json b/data/hfopenllm_v2/netcat420/DeepSeek-R1-Distill-Qwen-MFANN-Slerp-7b/297ef102-67c1-4e9c-b418-fed026bb1f8a.json
new file mode 100644
index 000000000..504b55a12
--- /dev/null
+++ b/data/hfopenllm_v2/netcat420/DeepSeek-R1-Distill-Qwen-MFANN-Slerp-7b/297ef102-67c1-4e9c-b418-fed026bb1f8a.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/netcat420_DeepSeek-R1-Distill-Qwen-MFANN-Slerp-7b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "DeepSeek-R1-Distill-Qwen-MFANN-Slerp-7b",
+    "id": "netcat420/DeepSeek-R1-Distill-Qwen-MFANN-Slerp-7b",
+    "developer": "netcat420",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.115
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/netcat420/DeepSeek-R1-MFANN-TIES-unretrained-7b/43da500e-cdc7-4b70-a0eb-6ae3371670d9.json b/data/hfopenllm_v2/netcat420/DeepSeek-R1-MFANN-TIES-unretrained-7b/43da500e-cdc7-4b70-a0eb-6ae3371670d9.json
deleted file mode 100644
index f95dccb8c..000000000
--- a/data/hfopenllm_v2/netcat420/DeepSeek-R1-MFANN-TIES-unretrained-7b/43da500e-cdc7-4b70-a0eb-6ae3371670d9.json
+++ /dev/null
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diff --git a/data/hfopenllm_v2/netcat420/DeepSeek-R1-MFANN-TIES-unretrained-7b/9fbf73d7-7d67-4d6c-a5b9-efc627cd1b2b.json b/data/hfopenllm_v2/netcat420/DeepSeek-R1-MFANN-TIES-unretrained-7b/9fbf73d7-7d67-4d6c-a5b9-efc627cd1b2b.json
new file mode 100644
index 000000000..3a61410cd
--- /dev/null
+++ b/data/hfopenllm_v2/netcat420/DeepSeek-R1-MFANN-TIES-unretrained-7b/9fbf73d7-7d67-4d6c-a5b9-efc627cd1b2b.json
@@ -0,0 +1,132 @@
+{
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+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "DeepSeek-R1-MFANN-TIES-unretrained-7b",
+    "id": "netcat420/DeepSeek-R1-MFANN-TIES-unretrained-7b",
+    "developer": "netcat420",
+    "inference_platform": "unknown",
+    "additional_details": {
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+      "source_data": {
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+        "source_type": "hf_dataset",
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+        "hf_repo": "SaylorTwift/bbh"
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+        "hf_repo": "Idavidrein/gpqa"
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+        "hf_repo": "TAUR-Lab/MuSR"
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+        "lower_is_better": false,
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+        "min_score": 0.0,
+        "max_score": 1.0
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
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+        "lower_is_better": false,
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/netcat420/Llama3.1-MFANN-8b/b1446577-f13f-434a-a0b4-916091395d4a.json b/data/hfopenllm_v2/netcat420/Llama3.1-MFANN-8b/b1446577-f13f-434a-a0b4-916091395d4a.json
new file mode 100644
index 000000000..4ba8de1e7
--- /dev/null
+++ b/data/hfopenllm_v2/netcat420/Llama3.1-MFANN-8b/b1446577-f13f-434a-a0b4-916091395d4a.json
@@ -0,0 +1,132 @@
+{
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+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
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+    "developer": "netcat420",
+    "inference_platform": "unknown",
+    "additional_details": {
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+        "source_type": "hf_dataset",
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+      },
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+        "lower_is_better": false,
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+        "max_score": 1.0
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
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+        "lower_is_better": false,
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/netcat420/MFANN-Llama3.1-Abliterated-SLERP-TIES-V2/fc8946aa-8b04-482c-8c05-d026d2af07be.json b/data/hfopenllm_v2/netcat420/MFANN-Llama3.1-Abliterated-SLERP-TIES-V2/fc8946aa-8b04-482c-8c05-d026d2af07be.json
new file mode 100644
index 000000000..db28a161a
--- /dev/null
+++ b/data/hfopenllm_v2/netcat420/MFANN-Llama3.1-Abliterated-SLERP-TIES-V2/fc8946aa-8b04-482c-8c05-d026d2af07be.json
@@ -0,0 +1,132 @@
+{
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+  "evaluation_id": "hfopenllm_v2/netcat420_MFANN-Llama3.1-Abliterated-SLERP-TIES-V2/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "MFANN-Llama3.1-Abliterated-SLERP-TIES-V2",
+    "id": "netcat420/MFANN-Llama3.1-Abliterated-SLERP-TIES-V2",
+    "developer": "netcat420",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
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+        "lower_is_better": false,
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "max_score": 1.0
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+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
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+        "hf_repo": "Idavidrein/gpqa"
+      },
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+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
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+    {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
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+        "max_score": 1.0
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+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/netcat420/MFANN-Llama3.1-Abliterated-SLERP-TIES-V3/fabe3784-948c-4618-9cf0-c76a3ddd3820.json b/data/hfopenllm_v2/netcat420/MFANN-Llama3.1-Abliterated-SLERP-TIES-V3/fabe3784-948c-4618-9cf0-c76a3ddd3820.json
new file mode 100644
index 000000000..fe6d32e73
--- /dev/null
+++ b/data/hfopenllm_v2/netcat420/MFANN-Llama3.1-Abliterated-SLERP-TIES-V3/fabe3784-948c-4618-9cf0-c76a3ddd3820.json
@@ -0,0 +1,132 @@
+{
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+  "evaluation_id": "hfopenllm_v2/netcat420_MFANN-Llama3.1-Abliterated-SLERP-TIES-V3/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "MFANN-Llama3.1-Abliterated-SLERP-TIES-V3",
+    "id": "netcat420/MFANN-Llama3.1-Abliterated-SLERP-TIES-V3",
+    "developer": "netcat420",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/netcat420/MFANN-Llama3.1-Abliterated-SLERP-V4/736dcf09-6a19-4e88-a790-7a7ee74d8717.json b/data/hfopenllm_v2/netcat420/MFANN-Llama3.1-Abliterated-SLERP-V4/736dcf09-6a19-4e88-a790-7a7ee74d8717.json
new file mode 100644
index 000000000..ca9c619d8
--- /dev/null
+++ b/data/hfopenllm_v2/netcat420/MFANN-Llama3.1-Abliterated-SLERP-V4/736dcf09-6a19-4e88-a790-7a7ee74d8717.json
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/netcat420/MFANN-Llama3.1-Abliterated-SLERP-V5/75b4c750-1570-4825-a04a-965c06861fd4.json b/data/hfopenllm_v2/netcat420/MFANN-Llama3.1-Abliterated-SLERP-V5/75b4c750-1570-4825-a04a-965c06861fd4.json
new file mode 100644
index 000000000..2cffceba6
--- /dev/null
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@@ -0,0 +1,132 @@
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/netcat420/MFANN-Llama3.1-Abliterated-Slerp-TIES/b7f8b678-2aea-4d41-ba21-2083fc472574.json b/data/hfopenllm_v2/netcat420/MFANN-Llama3.1-Abliterated-Slerp-TIES/b7f8b678-2aea-4d41-ba21-2083fc472574.json
new file mode 100644
index 000000000..4f314f567
--- /dev/null
+++ b/data/hfopenllm_v2/netcat420/MFANN-Llama3.1-Abliterated-Slerp-TIES/b7f8b678-2aea-4d41-ba21-2083fc472574.json
@@ -0,0 +1,132 @@
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/netcat420/MFANN-Llama3.1-Abliterated-Slerp-V3.2/a8010630-58de-448c-af08-70b8ffec431b.json b/data/hfopenllm_v2/netcat420/MFANN-Llama3.1-Abliterated-Slerp-V3.2/a8010630-58de-448c-af08-70b8ffec431b.json
new file mode 100644
index 000000000..3eb29349d
--- /dev/null
+++ b/data/hfopenllm_v2/netcat420/MFANN-Llama3.1-Abliterated-Slerp-V3.2/a8010630-58de-448c-af08-70b8ffec431b.json
@@ -0,0 +1,132 @@
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/netcat420/MFANN-SFT/4a0c2ce5-a4b4-4d35-b65d-bbc6e36a649b.json b/data/hfopenllm_v2/netcat420/MFANN-SFT/4a0c2ce5-a4b4-4d35-b65d-bbc6e36a649b.json
new file mode 100644
index 000000000..dde4c2499
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+++ b/data/hfopenllm_v2/netcat420/MFANN-SFT/4a0c2ce5-a4b4-4d35-b65d-bbc6e36a649b.json
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/netcat420/MFANN-SFT/748c7e5a-697b-4763-a43e-e3b6a6f2951b.json b/data/hfopenllm_v2/netcat420/MFANN-SFT/748c7e5a-697b-4763-a43e-e3b6a6f2951b.json
deleted file mode 100644
index cbdd9d108..000000000
--- a/data/hfopenllm_v2/netcat420/MFANN-SFT/748c7e5a-697b-4763-a43e-e3b6a6f2951b.json
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diff --git a/data/hfopenllm_v2/netcat420/MFANN-abliterated-phi2-merge-unretrained/1132251a-59c7-402e-9957-f9288864508f.json b/data/hfopenllm_v2/netcat420/MFANN-abliterated-phi2-merge-unretrained/1132251a-59c7-402e-9957-f9288864508f.json
new file mode 100644
index 000000000..d5dbf98ee
--- /dev/null
+++ b/data/hfopenllm_v2/netcat420/MFANN-abliterated-phi2-merge-unretrained/1132251a-59c7-402e-9957-f9288864508f.json
@@ -0,0 +1,132 @@
+{
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+    "source_type": "documentation",
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+    "developer": "netcat420",
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/netcat420/MFANN-llama3.1-Abliterated-SLERP/e2fac049-8f9f-4b71-bcd3-5746b7d90150.json b/data/hfopenllm_v2/netcat420/MFANN-llama3.1-Abliterated-SLERP/e2fac049-8f9f-4b71-bcd3-5746b7d90150.json
new file mode 100644
index 000000000..3a55b4765
--- /dev/null
+++ b/data/hfopenllm_v2/netcat420/MFANN-llama3.1-Abliterated-SLERP/e2fac049-8f9f-4b71-bcd3-5746b7d90150.json
@@ -0,0 +1,132 @@
+{
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+  "source_metadata": {
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+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
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+        "hf_repo": "TAUR-Lab/MuSR"
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/netcat420/MFANN-llama3.1-abliterated-SLERP-v3.1/d891a1e1-ad65-498f-9ee8-59523c1bfd19.json b/data/hfopenllm_v2/netcat420/MFANN-llama3.1-abliterated-SLERP-v3.1/d891a1e1-ad65-498f-9ee8-59523c1bfd19.json
new file mode 100644
index 000000000..ea3ef3c69
--- /dev/null
+++ b/data/hfopenllm_v2/netcat420/MFANN-llama3.1-abliterated-SLERP-v3.1/d891a1e1-ad65-498f-9ee8-59523c1bfd19.json
@@ -0,0 +1,132 @@
+{
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+  "source_metadata": {
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+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
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diff --git a/data/hfopenllm_v2/netcat420/MFANN-llama3.1-abliterated-SLERP-v3/9dd3103f-6c4f-4077-ac27-3a9b0f4a5882.json b/data/hfopenllm_v2/netcat420/MFANN-llama3.1-abliterated-SLERP-v3/9dd3103f-6c4f-4077-ac27-3a9b0f4a5882.json
new file mode 100644
index 000000000..cf3326495
--- /dev/null
+++ b/data/hfopenllm_v2/netcat420/MFANN-llama3.1-abliterated-SLERP-v3/9dd3103f-6c4f-4077-ac27-3a9b0f4a5882.json
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diff --git a/data/hfopenllm_v2/netcat420/MFANN-llama3.1-abliterated-v2/ca031f70-5785-46d1-8a58-b279d8340776.json b/data/hfopenllm_v2/netcat420/MFANN-llama3.1-abliterated-v2/ca031f70-5785-46d1-8a58-b279d8340776.json
new file mode 100644
index 000000000..27620df52
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diff --git a/data/hfopenllm_v2/netcat420/MFANN-phigments-slerp-V2/18457711-92b8-4c27-a89a-928fecdf5724.json b/data/hfopenllm_v2/netcat420/MFANN-phigments-slerp-V2/18457711-92b8-4c27-a89a-928fecdf5724.json
new file mode 100644
index 000000000..f7adf105b
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+++ b/data/hfopenllm_v2/netcat420/MFANN-phigments-slerp-V2/18457711-92b8-4c27-a89a-928fecdf5724.json
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diff --git a/data/hfopenllm_v2/netcat420/MFANN-phigments-slerp-V3.2/3398aeb8-08a8-4be9-a24c-efeabcaa2139.json b/data/hfopenllm_v2/netcat420/MFANN-phigments-slerp-V3.2/3398aeb8-08a8-4be9-a24c-efeabcaa2139.json
new file mode 100644
index 000000000..fd602beef
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/netcat420/MFANN-phigments-slerp-V3.3/707bc006-4318-41bc-b91b-aa43ca7cba6f.json b/data/hfopenllm_v2/netcat420/MFANN-phigments-slerp-V3.3/707bc006-4318-41bc-b91b-aa43ca7cba6f.json
new file mode 100644
index 000000000..bc28c5ad6
--- /dev/null
+++ b/data/hfopenllm_v2/netcat420/MFANN-phigments-slerp-V3.3/707bc006-4318-41bc-b91b-aa43ca7cba6f.json
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0332
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3892
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+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2803
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/netcat420/MFANN3b/7bfda919-13be-4b68-8655-99fe6a4605a2.json b/data/hfopenllm_v2/netcat420/MFANN3b/7bfda919-13be-4b68-8655-99fe6a4605a2.json
new file mode 100644
index 000000000..1d0c531da
--- /dev/null
+++ b/data/hfopenllm_v2/netcat420/MFANN3b/7bfda919-13be-4b68-8655-99fe6a4605a2.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/netcat420_MFANN3b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "MFANN3b",
+    "id": "netcat420/MFANN3b",
+    "developer": "netcat420",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "PhiForCausalLM",
+      "params_billions": 2.78
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2524
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4433
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0219
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2919
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3606
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2306
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/netcat420/MFANN3b/c5913e2b-c8c7-4e8f-a1c3-f2f764c8478d.json b/data/hfopenllm_v2/netcat420/MFANN3b/c5913e2b-c8c7-4e8f-a1c3-f2f764c8478d.json
deleted file mode 100644
index 18e2a8c15..000000000
--- a/data/hfopenllm_v2/netcat420/MFANN3b/c5913e2b-c8c7-4e8f-a1c3-f2f764c8478d.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/netcat420_MFANN3b/1762652580.395648",
-  "retrieved_timestamp": "1762652580.395648",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "netcat420/MFANN3b",
-    "developer": "netcat420",
-    "inference_platform": "unknown",
-    "id": "netcat420/MFANN3b",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "PhiForCausalLM",
-      "params_billions": 2.78
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-      },
-      "score_details": {
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-    },
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4433128382028508
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-    },
-    {
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-        "lower_is_better": false,
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-    {
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-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.36060416666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.23055186170212766
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/netcat420/MFANN3bv0.15/ebdb6805-f14e-4fb9-b1c8-acd258b93385.json b/data/hfopenllm_v2/netcat420/MFANN3bv0.15/ebdb6805-f14e-4fb9-b1c8-acd258b93385.json
deleted file mode 100644
index e70ff3e37..000000000
--- a/data/hfopenllm_v2/netcat420/MFANN3bv0.15/ebdb6805-f14e-4fb9-b1c8-acd258b93385.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/netcat420_MFANN3bv0.15/1762652580.3958452",
-  "retrieved_timestamp": "1762652580.395846",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
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-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
-    "name": "netcat420/MFANN3bv0.15",
-    "developer": "netcat420",
-    "inference_platform": "unknown",
-    "id": "netcat420/MFANN3bv0.15",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "PhiForCausalLM",
-      "params_billions": 2.78
-    }
-  },
-  "evaluation_results": [
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-      "evaluation_name": "IFEval",
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-        "score_type": "continuous",
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3957916666666667
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.24684175531914893
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/netcat420/MFANN3bv0.15/f844e739-5f0d-4db4-ba66-bd33b1290571.json b/data/hfopenllm_v2/netcat420/MFANN3bv0.15/f844e739-5f0d-4db4-ba66-bd33b1290571.json
new file mode 100644
index 000000000..da81b800a
--- /dev/null
+++ b/data/hfopenllm_v2/netcat420/MFANN3bv0.15/f844e739-5f0d-4db4-ba66-bd33b1290571.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/netcat420_MFANN3bv0.15/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "MFANN3bv0.15",
+    "id": "netcat420/MFANN3bv0.15",
+    "developer": "netcat420",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "PhiForCausalLM",
+      "params_billions": 2.78
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2012
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+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4539
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0264
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2517
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3958
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2468
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/netcat420/MFANN3bv0.18/0cde6639-6a89-4682-bb3e-a2a24a1bc8ab.json b/data/hfopenllm_v2/netcat420/MFANN3bv0.18/0cde6639-6a89-4682-bb3e-a2a24a1bc8ab.json
new file mode 100644
index 000000000..691ede716
--- /dev/null
+++ b/data/hfopenllm_v2/netcat420/MFANN3bv0.18/0cde6639-6a89-4682-bb3e-a2a24a1bc8ab.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/netcat420_MFANN3bv0.18/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "MFANN3bv0.18",
+    "id": "netcat420/MFANN3bv0.18",
+    "developer": "netcat420",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "PhiForCausalLM",
+      "params_billions": 2.78
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2206
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4514
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0249
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2576
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4024
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.25
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/netcat420/MFANN3bv0.18/5b522625-39ed-4faa-a3f6-1cec01baf906.json b/data/hfopenllm_v2/netcat420/MFANN3bv0.18/5b522625-39ed-4faa-a3f6-1cec01baf906.json
deleted file mode 100644
index 6ecf5cdcc..000000000
--- a/data/hfopenllm_v2/netcat420/MFANN3bv0.18/5b522625-39ed-4faa-a3f6-1cec01baf906.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/netcat420_MFANN3bv0.18/1762652580.396076",
-  "retrieved_timestamp": "1762652580.396081",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "netcat420/MFANN3bv0.18",
-    "developer": "netcat420",
-    "inference_platform": "unknown",
-    "id": "netcat420/MFANN3bv0.18",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "PhiForCausalLM",
-      "params_billions": 2.78
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.22064455644356973
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4514366169824164
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.024924471299093656
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.40236458333333336
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.25
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/netcat420/MFANN3bv0.19/4207b373-ef5c-48f8-a463-814b81a44410.json b/data/hfopenllm_v2/netcat420/MFANN3bv0.19/4207b373-ef5c-48f8-a463-814b81a44410.json
deleted file mode 100644
index 14a9411c9..000000000
--- a/data/hfopenllm_v2/netcat420/MFANN3bv0.19/4207b373-ef5c-48f8-a463-814b81a44410.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/netcat420_MFANN3bv0.19/1762652580.396478",
-  "retrieved_timestamp": "1762652580.396479",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "netcat420/MFANN3bv0.19",
-    "developer": "netcat420",
-    "inference_platform": "unknown",
-    "id": "netcat420/MFANN3bv0.19",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "PhiForCausalLM",
-      "params_billions": 2.78
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.22581528123157665
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4515800678058734
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.022658610271903322
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2575503355704698
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.40239583333333334
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.25199468085106386
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/netcat420/MFANN3bv0.19/87652005-4404-4c45-bd4f-5f63c44adf63.json b/data/hfopenllm_v2/netcat420/MFANN3bv0.19/87652005-4404-4c45-bd4f-5f63c44adf63.json
new file mode 100644
index 000000000..b5b586fea
--- /dev/null
+++ b/data/hfopenllm_v2/netcat420/MFANN3bv0.19/87652005-4404-4c45-bd4f-5f63c44adf63.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/netcat420_MFANN3bv0.19/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "MFANN3bv0.19",
+    "id": "netcat420/MFANN3bv0.19",
+    "developer": "netcat420",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "PhiForCausalLM",
+      "params_billions": 2.78
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2258
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4516
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0227
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2576
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4024
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.252
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/netcat420/MFANN3bv0.20/2d36210e-e2ca-41a8-9434-c29168849a28.json b/data/hfopenllm_v2/netcat420/MFANN3bv0.20/2d36210e-e2ca-41a8-9434-c29168849a28.json
deleted file mode 100644
index 2c143dba8..000000000
--- a/data/hfopenllm_v2/netcat420/MFANN3bv0.20/2d36210e-e2ca-41a8-9434-c29168849a28.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/netcat420_MFANN3bv0.20/1762652580.3967948",
-  "retrieved_timestamp": "1762652580.396796",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "netcat420/MFANN3bv0.20",
-    "developer": "netcat420",
-    "inference_platform": "unknown",
-    "id": "netcat420/MFANN3bv0.20",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "PhiForCausalLM",
-      "params_billions": 2.78
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.21934578030736224
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4493365019423472
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.026435045317220542
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.25922818791946306
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4077291666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.25
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/netcat420/MFANN3bv0.20/a7e0bc2d-784d-4719-ac08-d8fa0c29d178.json b/data/hfopenllm_v2/netcat420/MFANN3bv0.20/a7e0bc2d-784d-4719-ac08-d8fa0c29d178.json
new file mode 100644
index 000000000..560868144
--- /dev/null
+++ b/data/hfopenllm_v2/netcat420/MFANN3bv0.20/a7e0bc2d-784d-4719-ac08-d8fa0c29d178.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/netcat420_MFANN3bv0.20/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "MFANN3bv0.20",
+    "id": "netcat420/MFANN3bv0.20",
+    "developer": "netcat420",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "PhiForCausalLM",
+      "params_billions": 2.78
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2193
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4493
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0264
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2592
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4077
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.25
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/netcat420/MFANN3bv0.21/053f6333-9722-4c3e-a5bb-246b273225de.json b/data/hfopenllm_v2/netcat420/MFANN3bv0.21/053f6333-9722-4c3e-a5bb-246b273225de.json
deleted file mode 100644
index 60b680993..000000000
--- a/data/hfopenllm_v2/netcat420/MFANN3bv0.21/053f6333-9722-4c3e-a5bb-246b273225de.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/netcat420_MFANN3bv0.21/1762652580.397045",
-  "retrieved_timestamp": "1762652580.397046",
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diff --git a/data/hfopenllm_v2/netcat420/MFANN3bv0.21/e8ba93e6-6f90-4169-8403-381b7f9e26ab.json b/data/hfopenllm_v2/netcat420/MFANN3bv0.21/e8ba93e6-6f90-4169-8403-381b7f9e26ab.json
new file mode 100644
index 000000000..12ac93cd4
--- /dev/null
+++ b/data/hfopenllm_v2/netcat420/MFANN3bv0.21/e8ba93e6-6f90-4169-8403-381b7f9e26ab.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/netcat420_MFANN3bv0.21/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "MFANN3bv0.21",
+    "id": "netcat420/MFANN3bv0.21",
+    "developer": "netcat420",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "PhiForCausalLM",
+      "params_billions": 2.78
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.447
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2643
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2393
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/netcat420/MFANN3bv0.22/e551e936-41fa-4fda-84e9-dec9f5694c5d.json b/data/hfopenllm_v2/netcat420/MFANN3bv0.22/e551e936-41fa-4fda-84e9-dec9f5694c5d.json
deleted file mode 100644
index b807a7f5b..000000000
--- a/data/hfopenllm_v2/netcat420/MFANN3bv0.22/e551e936-41fa-4fda-84e9-dec9f5694c5d.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
-    "name": "netcat420/MFANN3bv0.22",
-    "developer": "netcat420",
-    "inference_platform": "unknown",
-    "id": "netcat420/MFANN3bv0.22",
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-      "precision": "float16",
-      "architecture": "PhiForCausalLM",
-      "params_billions": 2.78
-    }
-  },
-  "evaluation_results": [
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-    },
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-      "evaluation_name": "MUSR",
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-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
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-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
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-}
diff --git a/data/hfopenllm_v2/netcat420/MFANN3bv0.22/ea86b542-3d06-4e71-b49d-17cdd362b465.json b/data/hfopenllm_v2/netcat420/MFANN3bv0.22/ea86b542-3d06-4e71-b49d-17cdd362b465.json
new file mode 100644
index 000000000..48ebc0f8a
--- /dev/null
+++ b/data/hfopenllm_v2/netcat420/MFANN3bv0.22/ea86b542-3d06-4e71-b49d-17cdd362b465.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/netcat420_MFANN3bv0.22/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "MFANN3bv0.22",
+    "id": "netcat420/MFANN3bv0.22",
+    "developer": "netcat420",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "PhiForCausalLM",
+      "params_billions": 2.78
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1979
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4485
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0264
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2617
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3521
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2517
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/netcat420/MFANN3bv0.23/15615d2c-46a1-47c7-a273-697e97bdf9f2.json b/data/hfopenllm_v2/netcat420/MFANN3bv0.23/15615d2c-46a1-47c7-a273-697e97bdf9f2.json
new file mode 100644
index 000000000..0a80010af
--- /dev/null
+++ b/data/hfopenllm_v2/netcat420/MFANN3bv0.23/15615d2c-46a1-47c7-a273-697e97bdf9f2.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/netcat420_MFANN3bv0.23/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "MFANN3bv0.23",
+    "id": "netcat420/MFANN3bv0.23",
+    "developer": "netcat420",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "PhiForCausalLM",
+      "params_billions": 2.78
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2048
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4495
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0249
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2517
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3427
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2418
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/netcat420/MFANN3bv0.23/28396f73-b949-4db0-b685-77fc5901770b.json b/data/hfopenllm_v2/netcat420/MFANN3bv0.23/28396f73-b949-4db0-b685-77fc5901770b.json
deleted file mode 100644
index 1d4392d17..000000000
--- a/data/hfopenllm_v2/netcat420/MFANN3bv0.23/28396f73-b949-4db0-b685-77fc5901770b.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/netcat420_MFANN3bv0.23/1762652580.39747",
-  "retrieved_timestamp": "1762652580.397471",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "netcat420/MFANN3bv0.23",
-    "developer": "netcat420",
-    "inference_platform": "unknown",
-    "id": "netcat420/MFANN3bv0.23",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "PhiForCausalLM",
-      "params_billions": 2.78
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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diff --git a/data/hfopenllm_v2/netcat420/MFANN3bv0.24/0081cd67-9178-4443-aebf-721b75c0fc77.json b/data/hfopenllm_v2/netcat420/MFANN3bv0.24/0081cd67-9178-4443-aebf-721b75c0fc77.json
deleted file mode 100644
index 4d2034354..000000000
--- a/data/hfopenllm_v2/netcat420/MFANN3bv0.24/0081cd67-9178-4443-aebf-721b75c0fc77.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/netcat420_MFANN3bv0.24/1762652580.397681",
-  "retrieved_timestamp": "1762652580.397682",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
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-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "netcat420/MFANN3bv0.24",
-    "developer": "netcat420",
-    "inference_platform": "unknown",
-    "id": "netcat420/MFANN3bv0.24",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "PhiForCausalLM",
-      "params_billions": 2.78
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-        "score_type": "continuous",
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-        "score_type": "continuous",
-        "min_score": 0,
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-      "score_details": {
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-    },
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-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
-        "score": 0.3520729166666667
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-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/netcat420/MFANN3bv0.24/a2b8da3f-c99e-4dba-b4a2-23739281eaf2.json b/data/hfopenllm_v2/netcat420/MFANN3bv0.24/a2b8da3f-c99e-4dba-b4a2-23739281eaf2.json
new file mode 100644
index 000000000..95741769c
--- /dev/null
+++ b/data/hfopenllm_v2/netcat420/MFANN3bv0.24/a2b8da3f-c99e-4dba-b4a2-23739281eaf2.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/netcat420_MFANN3bv0.24/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "MFANN3bv0.24",
+    "id": "netcat420/MFANN3bv0.24",
+    "developer": "netcat420",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "PhiForCausalLM",
+      "params_billions": 2.78
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.22
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4407
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0279
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2584
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3521
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2352
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/netcat420/MFANN3bv1.1/76f3fa3a-1629-4cdd-b457-3a108784b427.json b/data/hfopenllm_v2/netcat420/MFANN3bv1.1/76f3fa3a-1629-4cdd-b457-3a108784b427.json
new file mode 100644
index 000000000..2c3b57cd6
--- /dev/null
+++ b/data/hfopenllm_v2/netcat420/MFANN3bv1.1/76f3fa3a-1629-4cdd-b457-3a108784b427.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/netcat420_MFANN3bv1.1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "MFANN3bv1.1",
+    "id": "netcat420/MFANN3bv1.1",
+    "developer": "netcat420",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "PhiForCausalLM",
+      "params_billions": 2.775
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2507
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3397
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0204
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2668
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3223
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1159
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/netcat420/MFANN3bv1.1/fb148468-c189-4fe5-b803-7532af8dec1d.json b/data/hfopenllm_v2/netcat420/MFANN3bv1.1/fb148468-c189-4fe5-b803-7532af8dec1d.json
deleted file mode 100644
index 7861d1408..000000000
--- a/data/hfopenllm_v2/netcat420/MFANN3bv1.1/fb148468-c189-4fe5-b803-7532af8dec1d.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/netcat420_MFANN3bv1.1/1762652580.3978848",
-  "retrieved_timestamp": "1762652580.397886",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
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-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "netcat420/MFANN3bv1.1",
-    "developer": "netcat420",
-    "inference_platform": "unknown",
-    "id": "netcat420/MFANN3bv1.1",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "PhiForCausalLM",
-      "params_billions": 2.775
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2506948230694557
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-    {
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-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
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-    {
-      "evaluation_name": "MATH Level 5",
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-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.26677852348993286
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3223125
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11585771276595745
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/netcat420/MFANN3bv1.2/16b4d316-db1d-4282-a5c0-b8ffe4af817c.json b/data/hfopenllm_v2/netcat420/MFANN3bv1.2/16b4d316-db1d-4282-a5c0-b8ffe4af817c.json
deleted file mode 100644
index b6d2b893e..000000000
--- a/data/hfopenllm_v2/netcat420/MFANN3bv1.2/16b4d316-db1d-4282-a5c0-b8ffe4af817c.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/netcat420_MFANN3bv1.2/1762652580.3980958",
-  "retrieved_timestamp": "1762652580.3980958",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "netcat420/MFANN3bv1.2",
-    "developer": "netcat420",
-    "inference_platform": "unknown",
-    "id": "netcat420/MFANN3bv1.2",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "PhiForCausalLM",
-      "params_billions": 2.775
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3659932511014956
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2634228187919463
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.31555208333333334
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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diff --git a/data/hfopenllm_v2/netcat420/MFANN3bv1.2/c9e979e1-4433-4a38-8fd4-c14895e74f44.json b/data/hfopenllm_v2/netcat420/MFANN3bv1.2/c9e979e1-4433-4a38-8fd4-c14895e74f44.json
new file mode 100644
index 000000000..f3b97324c
--- /dev/null
+++ b/data/hfopenllm_v2/netcat420/MFANN3bv1.2/c9e979e1-4433-4a38-8fd4-c14895e74f44.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/netcat420_MFANN3bv1.2/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "MFANN3bv1.2",
+    "id": "netcat420/MFANN3bv1.2",
+    "developer": "netcat420",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "PhiForCausalLM",
+      "params_billions": 2.775
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2686
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.366
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0264
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2634
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3156
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.145
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/netcat420/MFANN3bv1.3/3f2effba-1ab8-476d-b228-ed9491e83adf.json b/data/hfopenllm_v2/netcat420/MFANN3bv1.3/3f2effba-1ab8-476d-b228-ed9491e83adf.json
new file mode 100644
index 000000000..5ea688265
--- /dev/null
+++ b/data/hfopenllm_v2/netcat420/MFANN3bv1.3/3f2effba-1ab8-476d-b228-ed9491e83adf.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/netcat420_MFANN3bv1.3/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "MFANN3bv1.3",
+    "id": "netcat420/MFANN3bv1.3",
+    "developer": "netcat420",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "PhiForCausalLM",
+      "params_billions": 2.78
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2547
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4456
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0211
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2576
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3299
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2276
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/netcat420/MFANN3bv1.3/5981cb70-62a7-4e42-bf12-081c67c1b792.json b/data/hfopenllm_v2/netcat420/MFANN3bv1.3/5981cb70-62a7-4e42-bf12-081c67c1b792.json
deleted file mode 100644
index 1e34d7c9c..000000000
--- a/data/hfopenllm_v2/netcat420/MFANN3bv1.3/5981cb70-62a7-4e42-bf12-081c67c1b792.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/netcat420_MFANN3bv1.3/1762652580.3983822",
-  "retrieved_timestamp": "1762652580.3983831",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "netcat420/MFANN3bv1.3",
-    "developer": "netcat420",
-    "inference_platform": "unknown",
-    "id": "netcat420/MFANN3bv1.3",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "PhiForCausalLM",
-      "params_billions": 2.78
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.25466650709007654
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4456312489762861
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.021148036253776436
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2575503355704698
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.329875
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.22755984042553193
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/netcat420/MFANN3bv1.4/426bdea2-83f2-4915-9e82-ba4c8c8f4224.json b/data/hfopenllm_v2/netcat420/MFANN3bv1.4/426bdea2-83f2-4915-9e82-ba4c8c8f4224.json
deleted file mode 100644
index 16f17a5ff..000000000
--- a/data/hfopenllm_v2/netcat420/MFANN3bv1.4/426bdea2-83f2-4915-9e82-ba4c8c8f4224.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/netcat420_MFANN3bv1.4/1762652580.398614",
-  "retrieved_timestamp": "1762652580.3986151",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "netcat420/MFANN3bv1.4",
-    "developer": "netcat420",
-    "inference_platform": "unknown",
-    "id": "netcat420/MFANN3bv1.4",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "PhiForCausalLM",
-      "params_billions": 2.78
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
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-        "max_score": 1
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-      },
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-    {
-      "evaluation_name": "MATH Level 5",
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-        "evaluation_description": "Exact Match on MATH Level 5",
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.03700906344410876
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2827181208053691
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3707708333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2705285904255319
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/netcat420/MFANN3bv1.4/a5f0fb1b-27a7-495f-a010-3307afdb8949.json b/data/hfopenllm_v2/netcat420/MFANN3bv1.4/a5f0fb1b-27a7-495f-a010-3307afdb8949.json
new file mode 100644
index 000000000..6b3a33345
--- /dev/null
+++ b/data/hfopenllm_v2/netcat420/MFANN3bv1.4/a5f0fb1b-27a7-495f-a010-3307afdb8949.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/netcat420_MFANN3bv1.4/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "MFANN3bv1.4",
+    "id": "netcat420/MFANN3bv1.4",
+    "developer": "netcat420",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "PhiForCausalLM",
+      "params_billions": 2.78
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3524
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4809
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.037
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2827
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3708
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2705
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/netcat420/MFANNv0.19/22f2aa1d-fff1-430a-9c20-3b32859d9665.json b/data/hfopenllm_v2/netcat420/MFANNv0.19/22f2aa1d-fff1-430a-9c20-3b32859d9665.json
new file mode 100644
index 000000000..4621646f1
--- /dev/null
+++ b/data/hfopenllm_v2/netcat420/MFANNv0.19/22f2aa1d-fff1-430a-9c20-3b32859d9665.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/netcat420_MFANNv0.19/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "MFANNv0.19",
+    "id": "netcat420/MFANNv0.19",
+    "developer": "netcat420",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3057
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4731
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0415
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.307
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3527
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2473
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/netcat420/MFANNv0.19/d2b0785d-a169-4773-a3fc-95b536fe3cc2.json b/data/hfopenllm_v2/netcat420/MFANNv0.19/d2b0785d-a169-4773-a3fc-95b536fe3cc2.json
deleted file mode 100644
index 704df58a1..000000000
--- a/data/hfopenllm_v2/netcat420/MFANNv0.19/d2b0785d-a169-4773-a3fc-95b536fe3cc2.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/netcat420_MFANNv0.19/1762652580.39887",
-  "retrieved_timestamp": "1762652580.39887",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "netcat420/MFANNv0.19",
-    "developer": "netcat420",
-    "inference_platform": "unknown",
-    "id": "netcat420/MFANNv0.19",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30567449921763146
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.47313832038755316
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.04154078549848943
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3070469798657718
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.35269791666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.24725731382978725
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/netcat420/MFANNv0.20/4c84cbc4-1a4d-45d9-909b-92d2b4e961b6.json b/data/hfopenllm_v2/netcat420/MFANNv0.20/4c84cbc4-1a4d-45d9-909b-92d2b4e961b6.json
deleted file mode 100644
index 76b146d99..000000000
--- a/data/hfopenllm_v2/netcat420/MFANNv0.20/4c84cbc4-1a4d-45d9-909b-92d2b4e961b6.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/netcat420_MFANNv0.20/1762652580.399081",
-  "retrieved_timestamp": "1762652580.399082",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "netcat420/MFANNv0.20",
-    "developer": "netcat420",
-    "inference_platform": "unknown",
-    "id": "netcat420/MFANNv0.20",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.34786477657061043
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4574431878198548
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.04984894259818731
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2902684563758389
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.38739583333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.32022938829787234
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/netcat420/MFANNv0.20/daff0e6f-d29f-4861-855f-902a0cd9a469.json b/data/hfopenllm_v2/netcat420/MFANNv0.20/daff0e6f-d29f-4861-855f-902a0cd9a469.json
new file mode 100644
index 000000000..b815945e1
--- /dev/null
+++ b/data/hfopenllm_v2/netcat420/MFANNv0.20/daff0e6f-d29f-4861-855f-902a0cd9a469.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/netcat420_MFANNv0.20/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "MFANNv0.20",
+    "id": "netcat420/MFANNv0.20",
+    "developer": "netcat420",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3479
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4574
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0498
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2903
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3874
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3202
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/netcat420/MFANNv0.21/0f5cb926-b691-4d57-87f5-290235fd250a.json b/data/hfopenllm_v2/netcat420/MFANNv0.21/0f5cb926-b691-4d57-87f5-290235fd250a.json
new file mode 100644
index 000000000..0d6243929
--- /dev/null
+++ b/data/hfopenllm_v2/netcat420/MFANNv0.21/0f5cb926-b691-4d57-87f5-290235fd250a.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/netcat420_MFANNv0.21/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "MFANNv0.21",
+    "id": "netcat420/MFANNv0.21",
+    "developer": "netcat420",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3233
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4576
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0574
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2785
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3993
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3031
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/netcat420/MFANNv0.21/5d37ba65-09f6-4762-836e-4634c06ac9f7.json b/data/hfopenllm_v2/netcat420/MFANNv0.21/5d37ba65-09f6-4762-836e-4634c06ac9f7.json
deleted file mode 100644
index f4d547b08..000000000
--- a/data/hfopenllm_v2/netcat420/MFANNv0.21/5d37ba65-09f6-4762-836e-4634c06ac9f7.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/netcat420_MFANNv0.21/1762652580.399296",
-  "retrieved_timestamp": "1762652580.399297",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "netcat420/MFANNv0.21",
-    "developer": "netcat420",
-    "inference_platform": "unknown",
-    "id": "netcat420/MFANNv0.21",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3233099287667832
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.45763723048372523
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-    {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-        "score_type": "continuous",
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-        "lower_is_better": false,
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-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-}
diff --git a/data/hfopenllm_v2/netcat420/MFANNv0.22.1/5009ba04-1a8d-4e91-bd32-659fe67c4d26.json b/data/hfopenllm_v2/netcat420/MFANNv0.22.1/5009ba04-1a8d-4e91-bd32-659fe67c4d26.json
deleted file mode 100644
index 9c738c30a..000000000
--- a/data/hfopenllm_v2/netcat420/MFANNv0.22.1/5009ba04-1a8d-4e91-bd32-659fe67c4d26.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/netcat420_MFANNv0.22.1/1762652580.3995059",
-  "retrieved_timestamp": "1762652580.399507",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "netcat420/MFANNv0.22.1",
-    "developer": "netcat420",
-    "inference_platform": "unknown",
-    "id": "netcat420/MFANNv0.22.1",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3089469274857378
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.276006711409396
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3753020833333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.33427526595744683
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/netcat420/MFANNv0.22.1/d9e813da-2966-4901-99f9-c7627c64fc52.json b/data/hfopenllm_v2/netcat420/MFANNv0.22.1/d9e813da-2966-4901-99f9-c7627c64fc52.json
new file mode 100644
index 000000000..7b869bbb5
--- /dev/null
+++ b/data/hfopenllm_v2/netcat420/MFANNv0.22.1/d9e813da-2966-4901-99f9-c7627c64fc52.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/netcat420_MFANNv0.22.1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "MFANNv0.22.1",
+    "id": "netcat420/MFANNv0.22.1",
+    "developer": "netcat420",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3089
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4661
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0536
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.276
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3753
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3343
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/netcat420/MFANNv0.23/4cb98a5b-3eb7-4fa8-adfd-17add38d3332.json b/data/hfopenllm_v2/netcat420/MFANNv0.23/4cb98a5b-3eb7-4fa8-adfd-17add38d3332.json
new file mode 100644
index 000000000..80ebfd3ef
--- /dev/null
+++ b/data/hfopenllm_v2/netcat420/MFANNv0.23/4cb98a5b-3eb7-4fa8-adfd-17add38d3332.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/netcat420_MFANNv0.23/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "MFANNv0.23",
+    "id": "netcat420/MFANNv0.23",
+    "developer": "netcat420",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3127
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4898
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0498
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2844
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3768
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3388
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/netcat420/MFANNv0.23/f7b617fa-7095-4eef-88bb-4fd73c23d5dc.json b/data/hfopenllm_v2/netcat420/MFANNv0.23/f7b617fa-7095-4eef-88bb-4fd73c23d5dc.json
deleted file mode 100644
index 0f304a014..000000000
--- a/data/hfopenllm_v2/netcat420/MFANNv0.23/f7b617fa-7095-4eef-88bb-4fd73c23d5dc.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/netcat420_MFANNv0.23/1762652580.3997262",
-  "retrieved_timestamp": "1762652580.399727",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "netcat420/MFANNv0.23",
-    "developer": "netcat420",
-    "inference_platform": "unknown",
-    "id": "netcat420/MFANNv0.23",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3127435205255389
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4898102063834755
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.04984894259818731
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.28439597315436244
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3767916666666667
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.33876329787234044
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/netcat420/MFANNv0.24/59e5fcd0-e46f-4346-b695-bee4dab9cfc4.json b/data/hfopenllm_v2/netcat420/MFANNv0.24/59e5fcd0-e46f-4346-b695-bee4dab9cfc4.json
deleted file mode 100644
index 3de06ef85..000000000
--- a/data/hfopenllm_v2/netcat420/MFANNv0.24/59e5fcd0-e46f-4346-b695-bee4dab9cfc4.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/netcat420_MFANNv0.24/1762652580.3999438",
-  "retrieved_timestamp": "1762652580.3999438",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "netcat420/MFANNv0.24",
-    "developer": "netcat420",
-    "inference_platform": "unknown",
-    "id": "netcat420/MFANNv0.24",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3162409074588758
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.479027491915232
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.06117824773413897
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.28439597315436244
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3753958333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3347739361702128
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-    }
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-}
diff --git a/data/hfopenllm_v2/netcat420/MFANNv0.24/f7494fd4-d248-46a6-a46d-f9d8db560aae.json b/data/hfopenllm_v2/netcat420/MFANNv0.24/f7494fd4-d248-46a6-a46d-f9d8db560aae.json
new file mode 100644
index 000000000..89be208aa
--- /dev/null
+++ b/data/hfopenllm_v2/netcat420/MFANNv0.24/f7494fd4-d248-46a6-a46d-f9d8db560aae.json
@@ -0,0 +1,132 @@
+{
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+  "evaluation_id": "hfopenllm_v2/netcat420_MFANNv0.24/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "MFANNv0.24",
+    "id": "netcat420/MFANNv0.24",
+    "developer": "netcat420",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+      }
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+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+      }
+    },
+    {
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+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
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+        "hf_repo": "Idavidrein/gpqa"
+      },
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+    {
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+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "max_score": 1.0
+      },
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+        "score": 0.3348
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/netcat420/MFANNv0.25/4b8533d1-7770-435f-ba76-a5c658aabd8f.json b/data/hfopenllm_v2/netcat420/MFANNv0.25/4b8533d1-7770-435f-ba76-a5c658aabd8f.json
new file mode 100644
index 000000000..c62b5f82d
--- /dev/null
+++ b/data/hfopenllm_v2/netcat420/MFANNv0.25/4b8533d1-7770-435f-ba76-a5c658aabd8f.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/netcat420_MFANNv0.25/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "MFANNv0.25",
+    "id": "netcat420/MFANNv0.25",
+    "developer": "netcat420",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
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+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4794
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
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+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3688
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3343
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/netcat420/MFANNv0.25/e94f28ff-ae6c-4109-96a2-9dbe07621e03.json b/data/hfopenllm_v2/netcat420/MFANNv0.25/e94f28ff-ae6c-4109-96a2-9dbe07621e03.json
deleted file mode 100644
index 3e9b593c4..000000000
--- a/data/hfopenllm_v2/netcat420/MFANNv0.25/e94f28ff-ae6c-4109-96a2-9dbe07621e03.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "retrieved_timestamp": "1762652580.400151",
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "netcat420/MFANNv0.25",
-    "developer": "netcat420",
-    "inference_platform": "unknown",
-    "id": "netcat420/MFANNv0.25",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
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-        "lower_is_better": false,
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-        "max_score": 1
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-}
diff --git a/data/hfopenllm_v2/netcat420/Qwen2.5-7B-nerd-uncensored-v0.9-MFANN/309c7906-0010-4f17-848f-185062d96a26.json b/data/hfopenllm_v2/netcat420/Qwen2.5-7B-nerd-uncensored-v0.9-MFANN/309c7906-0010-4f17-848f-185062d96a26.json
new file mode 100644
index 000000000..f9f6fbeee
--- /dev/null
+++ b/data/hfopenllm_v2/netcat420/Qwen2.5-7B-nerd-uncensored-v0.9-MFANN/309c7906-0010-4f17-848f-185062d96a26.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/netcat420_Qwen2.5-7B-nerd-uncensored-v0.9-MFANN/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-7B-nerd-uncensored-v0.9-MFANN",
+    "id": "netcat420/Qwen2.5-7B-nerd-uncensored-v0.9-MFANN",
+    "developer": "netcat420",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5878
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5237
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3376
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.281
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3926
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3904
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/netcat420/Qwen2.5-7b-MFANN-slerp/f18ab2ab-098b-4e46-8f8d-433b52cdb81b.json b/data/hfopenllm_v2/netcat420/Qwen2.5-7b-MFANN-slerp/f18ab2ab-098b-4e46-8f8d-433b52cdb81b.json
new file mode 100644
index 000000000..25a7240c6
--- /dev/null
+++ b/data/hfopenllm_v2/netcat420/Qwen2.5-7b-MFANN-slerp/f18ab2ab-098b-4e46-8f8d-433b52cdb81b.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/netcat420_Qwen2.5-7b-MFANN-slerp/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-7b-MFANN-slerp",
+    "id": "netcat420/Qwen2.5-7b-MFANN-slerp",
+    "developer": "netcat420",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6532
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5089
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.287
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2953
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4073
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
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diff --git a/data/hfopenllm_v2/netcat420/Qwen2.5-7b-nerd-uncensored-MFANN-slerp/b4a70c71-dfac-4888-937e-d5220b491b0e.json b/data/hfopenllm_v2/netcat420/Qwen2.5-7b-nerd-uncensored-MFANN-slerp/b4a70c71-dfac-4888-937e-d5220b491b0e.json
new file mode 100644
index 000000000..07ded6ed7
--- /dev/null
+++ b/data/hfopenllm_v2/netcat420/Qwen2.5-7b-nerd-uncensored-MFANN-slerp/b4a70c71-dfac-4888-937e-d5220b491b0e.json
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diff --git a/data/hfopenllm_v2/netcat420/Qwen2.5-Coder-Scholar-7B-Abliterated-MFANN-Slerp-Unretrained/b879a534-6b24-4873-a0e4-e18453540121.json b/data/hfopenllm_v2/netcat420/Qwen2.5-Coder-Scholar-7B-Abliterated-MFANN-Slerp-Unretrained/b879a534-6b24-4873-a0e4-e18453540121.json
new file mode 100644
index 000000000..6830a0165
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diff --git a/data/hfopenllm_v2/netcat420/Qwen2.5-Coder-Scholar-7B-Abliterated-MFANN/c67ae8f2-596b-4dab-8c4f-768b2f0608b4.json b/data/hfopenllm_v2/netcat420/Qwen2.5-Coder-Scholar-7B-Abliterated-MFANN/c67ae8f2-596b-4dab-8c4f-768b2f0608b4.json
new file mode 100644
index 000000000..2e55a4ead
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diff --git a/data/hfopenllm_v2/netcat420/Qwen2.5-DeepSeek-R1-MFANN-Slerp-7b/7766c638-b4dc-4b2d-8c14-becdb1b709ef.json b/data/hfopenllm_v2/netcat420/Qwen2.5-DeepSeek-R1-MFANN-Slerp-7b/7766c638-b4dc-4b2d-8c14-becdb1b709ef.json
new file mode 100644
index 000000000..a0253b996
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/netcat420/Qwen2.5-MFANN-7b/dd211bef-3940-4d78-8f7b-a67da81d605b.json b/data/hfopenllm_v2/netcat420/Qwen2.5-MFANN-7b/dd211bef-3940-4d78-8f7b-a67da81d605b.json
new file mode 100644
index 000000000..1928a3f0f
--- /dev/null
+++ b/data/hfopenllm_v2/netcat420/Qwen2.5-MFANN-7b/dd211bef-3940-4d78-8f7b-a67da81d605b.json
@@ -0,0 +1,132 @@
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/netcat420/qwen2.5-MFANN-7b-SLERP-V1.2/87e20b7a-85c8-4845-94b0-ace1e18814cb.json b/data/hfopenllm_v2/netcat420/qwen2.5-MFANN-7b-SLERP-V1.2/87e20b7a-85c8-4845-94b0-ace1e18814cb.json
new file mode 100644
index 000000000..51f2c598a
--- /dev/null
+++ b/data/hfopenllm_v2/netcat420/qwen2.5-MFANN-7b-SLERP-V1.2/87e20b7a-85c8-4845-94b0-ace1e18814cb.json
@@ -0,0 +1,132 @@
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+  "source_metadata": {
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+    "source_type": "documentation",
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+    "developer": "netcat420",
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/netcat420/qwen2.5-MFANN-7b-SLERPv1.1/9ab01db6-3154-4c5b-b6a2-35479538d332.json b/data/hfopenllm_v2/netcat420/qwen2.5-MFANN-7b-SLERPv1.1/9ab01db6-3154-4c5b-b6a2-35479538d332.json
new file mode 100644
index 000000000..6d923911a
--- /dev/null
+++ b/data/hfopenllm_v2/netcat420/qwen2.5-MFANN-7b-SLERPv1.1/9ab01db6-3154-4c5b-b6a2-35479538d332.json
@@ -0,0 +1,132 @@
+{
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+      "architecture": "Qwen2ForCausalLM",
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+    }
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+    {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
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+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+      }
+    },
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+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
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+        "hf_repo": "TAUR-Lab/MuSR"
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+        "hf_repo": "TIGER-Lab/MMLU-Pro"
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+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/netcat420/qwen2.5-MFANN-7b-v1.1/9d35316a-011d-4e45-ae57-317b53de621f.json b/data/hfopenllm_v2/netcat420/qwen2.5-MFANN-7b-v1.1/9d35316a-011d-4e45-ae57-317b53de621f.json
new file mode 100644
index 000000000..6d09d9e25
--- /dev/null
+++ b/data/hfopenllm_v2/netcat420/qwen2.5-MFANN-7b-v1.1/9d35316a-011d-4e45-ae57-317b53de621f.json
@@ -0,0 +1,132 @@
+{
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+  "evaluation_id": "hfopenllm_v2/netcat420_qwen2.5-MFANN-7b-v1.1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "qwen2.5-MFANN-7b-v1.1",
+    "id": "netcat420/qwen2.5-MFANN-7b-v1.1",
+    "developer": "netcat420",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
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+        "hf_repo": "google/IFEval"
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+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+      }
+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+      },
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+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
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+        "score_type": "continuous",
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+        "max_score": 1.0
+      },
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+      }
+    },
+    {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
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+        "max_score": 1.0
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+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/netease-youdao/Confucius-o1-14B/c9e7fec0-b244-4ca1-a117-a52fdd4671a5.json b/data/hfopenllm_v2/netease-youdao/Confucius-o1-14B/c9e7fec0-b244-4ca1-a117-a52fdd4671a5.json
new file mode 100644
index 000000000..d488ce1e9
--- /dev/null
+++ b/data/hfopenllm_v2/netease-youdao/Confucius-o1-14B/c9e7fec0-b244-4ca1-a117-a52fdd4671a5.json
@@ -0,0 +1,132 @@
+{
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+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Confucius-o1-14B",
+    "id": "netease-youdao/Confucius-o1-14B",
+    "developer": "netease-youdao",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.77
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
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+        "source_type": "hf_dataset",
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+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+    },
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+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.63
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+      }
+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
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+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5265
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/netease-youdao/Confucius-o1-14B/ddd234e4-0665-4b36-943f-e99f0a293f50.json b/data/hfopenllm_v2/netease-youdao/Confucius-o1-14B/ddd234e4-0665-4b36-943f-e99f0a293f50.json
deleted file mode 100644
index 002e5782b..000000000
--- a/data/hfopenllm_v2/netease-youdao/Confucius-o1-14B/ddd234e4-0665-4b36-943f-e99f0a293f50.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/netease-youdao_Confucius-o1-14B/1762652580.4025002",
-  "retrieved_timestamp": "1762652580.402501",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "netease-youdao/Confucius-o1-14B",
-    "developer": "netease-youdao",
-    "inference_platform": "unknown",
-    "id": "netease-youdao/Confucius-o1-14B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 14.77
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6378497941018719
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6299772409698484
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4312688821752266
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3649328859060403
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4338125
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5265126329787234
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/newsbang/Homer-7B-v0.1/0659cb01-0d52-42cb-9e3a-2d8cac01692e.json b/data/hfopenllm_v2/newsbang/Homer-7B-v0.1/0659cb01-0d52-42cb-9e3a-2d8cac01692e.json
new file mode 100644
index 000000000..889543f52
--- /dev/null
+++ b/data/hfopenllm_v2/newsbang/Homer-7B-v0.1/0659cb01-0d52-42cb-9e3a-2d8cac01692e.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/newsbang_Homer-7B-v0.1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Homer-7B-v0.1",
+    "id": "newsbang/Homer-7B-v0.1",
+    "developer": "newsbang",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6109
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5601
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.386
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3247
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4357
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4475
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/newsbang/Homer-7B-v0.1/af9ae4eb-2fdf-414a-8585-4f0f894a6a49.json b/data/hfopenllm_v2/newsbang/Homer-7B-v0.1/af9ae4eb-2fdf-414a-8585-4f0f894a6a49.json
deleted file mode 100644
index 44ef3a150..000000000
--- a/data/hfopenllm_v2/newsbang/Homer-7B-v0.1/af9ae4eb-2fdf-414a-8585-4f0f894a6a49.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/newsbang_Homer-7B-v0.1/1762652580.402741",
-  "retrieved_timestamp": "1762652580.402742",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "newsbang/Homer-7B-v0.1",
-    "developer": "newsbang",
-    "inference_platform": "unknown",
-    "id": "newsbang/Homer-7B-v0.1",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.616
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6108724850064495
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5601389961416444
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3859516616314199
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.32466442953020136
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.43569791666666663
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4474734042553192
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/newsbang/Homer-7B-v0.2/98490bb1-70f0-4e7a-8fd6-698ec9fcbd5a.json b/data/hfopenllm_v2/newsbang/Homer-7B-v0.2/98490bb1-70f0-4e7a-8fd6-698ec9fcbd5a.json
new file mode 100644
index 000000000..0e6b4cdcc
--- /dev/null
+++ b/data/hfopenllm_v2/newsbang/Homer-7B-v0.2/98490bb1-70f0-4e7a-8fd6-698ec9fcbd5a.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/newsbang_Homer-7B-v0.2/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Homer-7B-v0.2",
+    "id": "newsbang/Homer-7B-v0.2",
+    "developer": "newsbang",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7494
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5517
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2477
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3322
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4298
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.441
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/newsbang/Homer-7B-v0.2/d7964788-36a6-4b86-add6-cd8a1a42eb7c.json b/data/hfopenllm_v2/newsbang/Homer-7B-v0.2/d7964788-36a6-4b86-add6-cd8a1a42eb7c.json
deleted file mode 100644
index bd9b017bb..000000000
--- a/data/hfopenllm_v2/newsbang/Homer-7B-v0.2/d7964788-36a6-4b86-add6-cd8a1a42eb7c.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/newsbang_Homer-7B-v0.2/1762652580.403213",
-  "retrieved_timestamp": "1762652580.4032168",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "newsbang/Homer-7B-v0.2",
-    "developer": "newsbang",
-    "inference_platform": "unknown",
-    "id": "newsbang/Homer-7B-v0.2",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.616
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7493827488840721
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5517330182832224
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.24773413897280966
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.33221476510067116
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42975
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4409906914893617
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/newsbang/Homer-v0.3-Qwen2.5-7B/6e0f7e7e-8927-436e-95a7-5a7c626ca241.json b/data/hfopenllm_v2/newsbang/Homer-v0.3-Qwen2.5-7B/6e0f7e7e-8927-436e-95a7-5a7c626ca241.json
new file mode 100644
index 000000000..b533392a6
--- /dev/null
+++ b/data/hfopenllm_v2/newsbang/Homer-v0.3-Qwen2.5-7B/6e0f7e7e-8927-436e-95a7-5a7c626ca241.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/newsbang_Homer-v0.3-Qwen2.5-7B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Homer-v0.3-Qwen2.5-7B",
+    "id": "newsbang/Homer-v0.3-Qwen2.5-7B",
+    "developer": "newsbang",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5154
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
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+        "score_type": "continuous",
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diff --git a/data/hfopenllm_v2/newsbang/Homer-v0.4-Qwen2.5-7B/9c5b3f4d-6e0b-482b-b142-dd7b387cae22.json b/data/hfopenllm_v2/newsbang/Homer-v0.4-Qwen2.5-7B/9c5b3f4d-6e0b-482b-b142-dd7b387cae22.json
new file mode 100644
index 000000000..c5e3960e9
--- /dev/null
+++ b/data/hfopenllm_v2/newsbang/Homer-v0.4-Qwen2.5-7B/9c5b3f4d-6e0b-482b-b142-dd7b387cae22.json
@@ -0,0 +1,132 @@
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/newsbang/Homer-v0.5-Qwen2.5-7B/04840708-a4cc-407c-8b2a-876b382920a1.json b/data/hfopenllm_v2/newsbang/Homer-v0.5-Qwen2.5-7B/04840708-a4cc-407c-8b2a-876b382920a1.json
new file mode 100644
index 000000000..63f957333
--- /dev/null
+++ b/data/hfopenllm_v2/newsbang/Homer-v0.5-Qwen2.5-7B/04840708-a4cc-407c-8b2a-876b382920a1.json
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/newsbang/Homer-v1.0-Qwen2.5-72B/83b0844c-70fe-4b63-8ed2-4147390518ee.json b/data/hfopenllm_v2/newsbang/Homer-v1.0-Qwen2.5-72B/83b0844c-70fe-4b63-8ed2-4147390518ee.json
new file mode 100644
index 000000000..a97243437
--- /dev/null
+++ b/data/hfopenllm_v2/newsbang/Homer-v1.0-Qwen2.5-72B/83b0844c-70fe-4b63-8ed2-4147390518ee.json
@@ -0,0 +1,132 @@
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/newsbang/Homer-v1.0-Qwen2.5-7B/9cf10c60-bee1-4f4f-9e03-c3c10287bded.json b/data/hfopenllm_v2/newsbang/Homer-v1.0-Qwen2.5-7B/9cf10c60-bee1-4f4f-9e03-c3c10287bded.json
new file mode 100644
index 000000000..c299cf546
--- /dev/null
+++ b/data/hfopenllm_v2/newsbang/Homer-v1.0-Qwen2.5-7B/9cf10c60-bee1-4f4f-9e03-c3c10287bded.json
@@ -0,0 +1,132 @@
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/nguyentd/FinancialAdvice-Qwen2.5-7B/8e92dd9e-a68c-46ef-9b03-955c06a21437.json b/data/hfopenllm_v2/nguyentd/FinancialAdvice-Qwen2.5-7B/8e92dd9e-a68c-46ef-9b03-955c06a21437.json
new file mode 100644
index 000000000..332c8a2d4
--- /dev/null
+++ b/data/hfopenllm_v2/nguyentd/FinancialAdvice-Qwen2.5-7B/8e92dd9e-a68c-46ef-9b03-955c06a21437.json
@@ -0,0 +1,132 @@
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+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
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+        "evaluation_description": "Exact Match on MATH Level 5",
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+        "hf_repo": "TIGER-Lab/MMLU-Pro"
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/ngxson/MiniThinky-1B-Llama-3.2/dd1139d8-2b44-4516-b24a-1219826f5482.json b/data/hfopenllm_v2/ngxson/MiniThinky-1B-Llama-3.2/dd1139d8-2b44-4516-b24a-1219826f5482.json
new file mode 100644
index 000000000..2e0f2504c
--- /dev/null
+++ b/data/hfopenllm_v2/ngxson/MiniThinky-1B-Llama-3.2/dd1139d8-2b44-4516-b24a-1219826f5482.json
@@ -0,0 +1,132 @@
+{
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+  "source_metadata": {
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+    "source_type": "documentation",
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+  "model_info": {
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+    "id": "ngxson/MiniThinky-1B-Llama-3.2",
+    "developer": "ngxson",
+    "inference_platform": "unknown",
+    "additional_details": {
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+      "architecture": "LlamaForCausalLM",
+      "params_billions": 1.236
+    }
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+      },
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
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+        "score_type": "continuous",
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+    {
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+      },
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+        "hf_repo": "TAUR-Lab/MuSR"
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+        "evaluation_description": "Accuracy on MUSR",
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+        "max_score": 1.0
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
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+      }
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+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/ngxson/MiniThinky-v2-1B-Llama-3.2/e37e86f7-b67b-4f0a-b1bd-92f30842b303.json b/data/hfopenllm_v2/ngxson/MiniThinky-v2-1B-Llama-3.2/e37e86f7-b67b-4f0a-b1bd-92f30842b303.json
new file mode 100644
index 000000000..34a2fa568
--- /dev/null
+++ b/data/hfopenllm_v2/ngxson/MiniThinky-v2-1B-Llama-3.2/e37e86f7-b67b-4f0a-b1bd-92f30842b303.json
@@ -0,0 +1,132 @@
+{
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+  "source_metadata": {
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+  "model_info": {
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+    "id": "ngxson/MiniThinky-v2-1B-Llama-3.2",
+    "developer": "ngxson",
+    "inference_platform": "unknown",
+    "additional_details": {
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+    }
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+        "hf_repo": "SaylorTwift/bbh"
+      },
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+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
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+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
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+        "hf_repo": "TAUR-Lab/MuSR"
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+        "hf_repo": "TIGER-Lab/MMLU-Pro"
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+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/nhyha/N3N_Delirium-v1_1030_0227/5128233e-41be-4e26-9ec2-2b7926c66b7c.json b/data/hfopenllm_v2/nhyha/N3N_Delirium-v1_1030_0227/5128233e-41be-4e26-9ec2-2b7926c66b7c.json
deleted file mode 100644
index 6ad23d4e3..000000000
--- a/data/hfopenllm_v2/nhyha/N3N_Delirium-v1_1030_0227/5128233e-41be-4e26-9ec2-2b7926c66b7c.json
+++ /dev/null
@@ -1,105 +0,0 @@
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-    "developer": "nhyha",
-    "inference_platform": "unknown",
-    "id": "nhyha/N3N_Delirium-v1_1030_0227",
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-}
diff --git a/data/hfopenllm_v2/nhyha/N3N_Delirium-v1_1030_0227/bc3b55d5-35ca-48b5-832e-8544e145b1b1.json b/data/hfopenllm_v2/nhyha/N3N_Delirium-v1_1030_0227/bc3b55d5-35ca-48b5-832e-8544e145b1b1.json
new file mode 100644
index 000000000..c0a263780
--- /dev/null
+++ b/data/hfopenllm_v2/nhyha/N3N_Delirium-v1_1030_0227/bc3b55d5-35ca-48b5-832e-8544e145b1b1.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/nhyha_N3N_Delirium-v1_1030_0227/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "N3N_Delirium-v1_1030_0227",
+    "id": "nhyha/N3N_Delirium-v1_1030_0227",
+    "developer": "nhyha",
+    "inference_platform": "unknown",
+    "additional_details": {
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+      "architecture": "Gemma2ForCausalLM",
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+    }
+  },
+  "evaluation_results": [
+    {
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+        "source_type": "hf_dataset",
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+      },
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+    },
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
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+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "max_score": 1.0
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+      }
+    },
+    {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
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+        "evaluation_description": "Exact Match on MATH Level 5",
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+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3372
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
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+        "evaluation_description": "Accuracy on MUSR",
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+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4098
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+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.415
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/nhyha/N3N_Llama-3.1-8B-Instruct_1028_0216/5757cd3d-c64e-4743-8200-5e610e24bf95.json b/data/hfopenllm_v2/nhyha/N3N_Llama-3.1-8B-Instruct_1028_0216/5757cd3d-c64e-4743-8200-5e610e24bf95.json
new file mode 100644
index 000000000..0ece90da0
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\ No newline at end of file
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deleted file mode 100644
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new file mode 100644
index 000000000..9ba31eded
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@@ -0,0 +1,132 @@
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diff --git a/data/hfopenllm_v2/nhyha/N3N_gemma-2-9b-it_20241110_2026/bee54048-ebb2-4051-a18f-aa85b0f2ce27.json b/data/hfopenllm_v2/nhyha/N3N_gemma-2-9b-it_20241110_2026/bee54048-ebb2-4051-a18f-aa85b0f2ce27.json
new file mode 100644
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/nhyha/merge_Qwen2.5-7B-Instruct_20241023_0314/2f98c85b-5a2e-467e-9626-b1bdefe7bdd7.json b/data/hfopenllm_v2/nhyha/merge_Qwen2.5-7B-Instruct_20241023_0314/2f98c85b-5a2e-467e-9626-b1bdefe7bdd7.json
new file mode 100644
index 000000000..f76d4c073
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@@ -0,0 +1,132 @@
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/nhyha/merge_Qwen2.5-7B-Instruct_20241023_0314/eb608d79-545a-4cc2-8d28-e539a3af7f17.json b/data/hfopenllm_v2/nhyha/merge_Qwen2.5-7B-Instruct_20241023_0314/eb608d79-545a-4cc2-8d28-e539a3af7f17.json
deleted file mode 100644
index 5c2afd856..000000000
--- a/data/hfopenllm_v2/nhyha/merge_Qwen2.5-7B-Instruct_20241023_0314/eb608d79-545a-4cc2-8d28-e539a3af7f17.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/nidum/Nidum-Limitless-Gemma-2B/2c530a3b-888e-4a61-b97b-ea875b30ec9c.json b/data/hfopenllm_v2/nidum/Nidum-Limitless-Gemma-2B/2c530a3b-888e-4a61-b97b-ea875b30ec9c.json
new file mode 100644
index 000000000..e6ba40bf6
--- /dev/null
+++ b/data/hfopenllm_v2/nidum/Nidum-Limitless-Gemma-2B/2c530a3b-888e-4a61-b97b-ea875b30ec9c.json
@@ -0,0 +1,132 @@
+{
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+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
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+    "id": "nidum/Nidum-Limitless-Gemma-2B",
+    "developer": "nidum",
+    "inference_platform": "unknown",
+    "additional_details": {
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+      "params_billions": 2.506
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+  },
+  "evaluation_results": [
+    {
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+      "source_data": {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
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+        "score_type": "continuous",
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+        "max_score": 1.0
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
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+        "hf_repo": "Idavidrein/gpqa"
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+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+      }
+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
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+        "max_score": 1.0
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+      "score_details": {
+        "score": 0.374
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+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/nisten/franqwenstein-35b/4c9fb322-735e-4644-8121-088d00f78c5f.json b/data/hfopenllm_v2/nisten/franqwenstein-35b/4c9fb322-735e-4644-8121-088d00f78c5f.json
new file mode 100644
index 000000000..d683ac73a
--- /dev/null
+++ b/data/hfopenllm_v2/nisten/franqwenstein-35b/4c9fb322-735e-4644-8121-088d00f78c5f.json
@@ -0,0 +1,132 @@
+{
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+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
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+        "lower_is_better": false,
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+        "hf_repo": "SaylorTwift/bbh"
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+        "lower_is_better": false,
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+        "max_score": 1.0
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+      "score_details": {
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+    },
+    {
+      "evaluation_name": "MATH Level 5",
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+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
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+        "evaluation_description": "Exact Match on MATH Level 5",
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
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+        "lower_is_better": false,
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/nisten/franqwenstein-35b/e7e7733f-682b-4e68-8f07-85f3ba7a7ae1.json b/data/hfopenllm_v2/nisten/franqwenstein-35b/e7e7733f-682b-4e68-8f07-85f3ba7a7ae1.json
new file mode 100644
index 000000000..12f77c7a5
--- /dev/null
+++ b/data/hfopenllm_v2/nisten/franqwenstein-35b/e7e7733f-682b-4e68-8f07-85f3ba7a7ae1.json
@@ -0,0 +1,132 @@
+{
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+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
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+        "max_score": 1.0
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+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
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+        "hf_repo": "TAUR-Lab/MuSR"
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
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+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/nisten/tqwendo-36b/e9a4e1e2-bd55-4c3d-99eb-8fafd8f6ec44.json b/data/hfopenllm_v2/nisten/tqwendo-36b/e9a4e1e2-bd55-4c3d-99eb-8fafd8f6ec44.json
new file mode 100644
index 000000000..5712a649d
--- /dev/null
+++ b/data/hfopenllm_v2/nisten/tqwendo-36b/e9a4e1e2-bd55-4c3d-99eb-8fafd8f6ec44.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/nisten_tqwendo-36b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
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+    "id": "nisten/tqwendo-36b",
+    "developer": "nisten",
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+    "additional_details": {
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+    }
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+    },
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
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+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+        "hf_repo": "Idavidrein/gpqa"
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+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3314
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.443
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4381
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/nlpguy/Lion-Lamarck-v.1.0.8/42ed92b3-63bc-4fa1-bc16-c19bfb73368f.json b/data/hfopenllm_v2/nlpguy/Lion-Lamarck-v.1.0.8/42ed92b3-63bc-4fa1-bc16-c19bfb73368f.json
new file mode 100644
index 000000000..b018debaf
--- /dev/null
+++ b/data/hfopenllm_v2/nlpguy/Lion-Lamarck-v.1.0.8/42ed92b3-63bc-4fa1-bc16-c19bfb73368f.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/nlpguy_Lion-Lamarck-v.1.0.8/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Lion-Lamarck-v.1.0.8",
+    "id": "nlpguy/Lion-Lamarck-v.1.0.8",
+    "developer": "nlpguy",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.766
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4509
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5869
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5544
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3582
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4673
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4643
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/nlpguy/Lion-Lamarck-v.1.0.8/67582e10-cebf-4938-bfca-2eb6883e2c39.json b/data/hfopenllm_v2/nlpguy/Lion-Lamarck-v.1.0.8/67582e10-cebf-4938-bfca-2eb6883e2c39.json
deleted file mode 100644
index 4a721b3ca..000000000
--- a/data/hfopenllm_v2/nlpguy/Lion-Lamarck-v.1.0.8/67582e10-cebf-4938-bfca-2eb6883e2c39.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/nlpguy_Lion-Lamarck-v.1.0.8/1762652580.40752",
-  "retrieved_timestamp": "1762652580.407521",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "nlpguy/Lion-Lamarck-v.1.0.8",
-    "developer": "nlpguy",
-    "inference_platform": "unknown",
-    "id": "nlpguy/Lion-Lamarck-v.1.0.8",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 14.766
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.45090471061228654
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5868930914775694
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.554380664652568
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.35822147651006714
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4672708333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.46434507978723405
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/nlpguy/Lion-Lamarck-v.1.0.9/915ae579-786a-4eb2-a1bb-107a12c9c40d.json b/data/hfopenllm_v2/nlpguy/Lion-Lamarck-v.1.0.9/915ae579-786a-4eb2-a1bb-107a12c9c40d.json
new file mode 100644
index 000000000..e62e07a5e
--- /dev/null
+++ b/data/hfopenllm_v2/nlpguy/Lion-Lamarck-v.1.0.9/915ae579-786a-4eb2-a1bb-107a12c9c40d.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/nlpguy_Lion-Lamarck-v.1.0.9/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Lion-Lamarck-v.1.0.9",
+    "id": "nlpguy/Lion-Lamarck-v.1.0.9",
+    "developer": "nlpguy",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.766
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3409
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5918
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5642
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3901
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.53
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4704
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/nlpguy/Lion-Lamarck-v.1.0.9/f5fa6816-051d-4d86-bef5-ba9731b8bd9a.json b/data/hfopenllm_v2/nlpguy/Lion-Lamarck-v.1.0.9/f5fa6816-051d-4d86-bef5-ba9731b8bd9a.json
deleted file mode 100644
index ba0c0e63c..000000000
--- a/data/hfopenllm_v2/nlpguy/Lion-Lamarck-v.1.0.9/f5fa6816-051d-4d86-bef5-ba9731b8bd9a.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/nlpguy_Lion-Lamarck-v.1.0.9/1762652580.407768",
-  "retrieved_timestamp": "1762652580.4077692",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "nlpguy/Lion-Lamarck-v.1.0.9",
-    "developer": "nlpguy",
-    "inference_platform": "unknown",
-    "id": "nlpguy/Lion-Lamarck-v.1.0.9",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 14.766
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.34089549063152436
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5918237099420903
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5641993957703928
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3901006711409396
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5299583333333334
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.47041223404255317
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/nlpguy/Lion-Lamarck-v.1.1.0/027ad81a-1271-4c25-9966-02370f6ee49d.json b/data/hfopenllm_v2/nlpguy/Lion-Lamarck-v.1.1.0/027ad81a-1271-4c25-9966-02370f6ee49d.json
deleted file mode 100644
index efc7551e7..000000000
--- a/data/hfopenllm_v2/nlpguy/Lion-Lamarck-v.1.1.0/027ad81a-1271-4c25-9966-02370f6ee49d.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/nlpguy_Lion-Lamarck-v.1.1.0/1762652580.4079711",
-  "retrieved_timestamp": "1762652580.4079711",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "nlpguy/Lion-Lamarck-v.1.1.0",
-    "developer": "nlpguy",
-    "inference_platform": "unknown",
-    "id": "nlpguy/Lion-Lamarck-v.1.1.0",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 14.766
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3657750324694034
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-    {
-      "evaluation_name": "MATH Level 5",
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-        "score_type": "continuous",
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-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
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-        "score_type": "continuous",
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-        "max_score": 1
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-      "score_details": {
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-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
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-        "score_type": "continuous",
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new file mode 100644
index 000000000..4a3058b4b
--- /dev/null
+++ b/data/hfopenllm_v2/nlpguy/Lion-Lamarck-v.1.1.0/3489ffea-a607-4f3d-a0c2-bd17147f244f.json
@@ -0,0 +1,132 @@
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+  "source_metadata": {
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+    "developer": "nlpguy",
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/nlpguy/Miisce-one/7b5ba8a8-16c3-4169-b97d-13dd5d4f8395.json b/data/hfopenllm_v2/nlpguy/Miisce-one/7b5ba8a8-16c3-4169-b97d-13dd5d4f8395.json
new file mode 100644
index 000000000..39e5855db
--- /dev/null
+++ b/data/hfopenllm_v2/nlpguy/Miisce-one/7b5ba8a8-16c3-4169-b97d-13dd5d4f8395.json
@@ -0,0 +1,132 @@
+{
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+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
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+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/nlpguy/Miisce-one/e557a750-53b2-4181-a19c-dfdeee11ee61.json b/data/hfopenllm_v2/nlpguy/Miisce-one/e557a750-53b2-4181-a19c-dfdeee11ee61.json
deleted file mode 100644
index 0335e04de..000000000
--- a/data/hfopenllm_v2/nlpguy/Miisce-one/e557a750-53b2-4181-a19c-dfdeee11ee61.json
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diff --git a/data/hfopenllm_v2/nlpguy/Mistral-NeMo-Minitron-Upscale-v1/6411c44a-b2b3-4fe3-8ba4-9422a0a0b31e.json b/data/hfopenllm_v2/nlpguy/Mistral-NeMo-Minitron-Upscale-v1/6411c44a-b2b3-4fe3-8ba4-9422a0a0b31e.json
new file mode 100644
index 000000000..823d8c02e
--- /dev/null
+++ b/data/hfopenllm_v2/nlpguy/Mistral-NeMo-Minitron-Upscale-v1/6411c44a-b2b3-4fe3-8ba4-9422a0a0b31e.json
@@ -0,0 +1,132 @@
+{
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+  "evaluation_id": "hfopenllm_v2/nlpguy_Mistral-NeMo-Minitron-Upscale-v1/1770682486.623709",
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+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Mistral-NeMo-Minitron-Upscale-v1",
+    "id": "nlpguy/Mistral-NeMo-Minitron-Upscale-v1",
+    "developer": "nlpguy",
+    "inference_platform": "unknown",
+    "additional_details": {
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+        "hf_repo": "SaylorTwift/bbh"
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+        "hf_repo": "TAUR-Lab/MuSR"
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
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+      },
+      "score_details": {
+        "score": 0.2537
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+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/nlpguy/Mistral-NeMo-Minitron-Upscale-v2/fe344f84-7428-45af-940f-736275bc4d50.json b/data/hfopenllm_v2/nlpguy/Mistral-NeMo-Minitron-Upscale-v2/fe344f84-7428-45af-940f-736275bc4d50.json
new file mode 100644
index 000000000..5887f8230
--- /dev/null
+++ b/data/hfopenllm_v2/nlpguy/Mistral-NeMo-Minitron-Upscale-v2/fe344f84-7428-45af-940f-736275bc4d50.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
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+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
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+    "name": "Mistral-NeMo-Minitron-Upscale-v2",
+    "id": "nlpguy/Mistral-NeMo-Minitron-Upscale-v2",
+    "developer": "nlpguy",
+    "inference_platform": "unknown",
+    "additional_details": {
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+  },
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+        "source_type": "hf_dataset",
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+        "source_type": "hf_dataset",
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+        "min_score": 0.0,
+        "max_score": 1.0
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
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+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
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+        "hf_repo": "Idavidrein/gpqa"
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+        "hf_repo": "TAUR-Lab/MuSR"
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+      "metric_config": {
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+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1927
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/nlpguy/Mistral-NeMo-Minitron-Upscale-v3/60956ea2-8b0b-4e4b-801a-d0689f9d46f4.json b/data/hfopenllm_v2/nlpguy/Mistral-NeMo-Minitron-Upscale-v3/60956ea2-8b0b-4e4b-801a-d0689f9d46f4.json
new file mode 100644
index 000000000..f652b2940
--- /dev/null
+++ b/data/hfopenllm_v2/nlpguy/Mistral-NeMo-Minitron-Upscale-v3/60956ea2-8b0b-4e4b-801a-d0689f9d46f4.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/nlpguy_Mistral-NeMo-Minitron-Upscale-v3/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Mistral-NeMo-Minitron-Upscale-v3",
+    "id": "nlpguy/Mistral-NeMo-Minitron-Upscale-v3",
+    "developer": "nlpguy",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 12.451
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1412
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3052
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0113
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2592
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4098
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1171
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/nlpguy/StableProse/1ad54bdc-419a-4dd9-9fbb-d7b7ee7038d1.json b/data/hfopenllm_v2/nlpguy/StableProse/1ad54bdc-419a-4dd9-9fbb-d7b7ee7038d1.json
new file mode 100644
index 000000000..7c16d0d96
--- /dev/null
+++ b/data/hfopenllm_v2/nlpguy/StableProse/1ad54bdc-419a-4dd9-9fbb-d7b7ee7038d1.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/nlpguy_StableProse/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "StableProse",
+    "id": "nlpguy/StableProse",
+    "developer": "nlpguy",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 12.248
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1972
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5117
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.065
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3029
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4067
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3468
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/nlpguy/StableProse/bedab076-13e7-468a-b8e8-dddb57d78583.json b/data/hfopenllm_v2/nlpguy/StableProse/bedab076-13e7-468a-b8e8-dddb57d78583.json
deleted file mode 100644
index 85b6fc8b0..000000000
--- a/data/hfopenllm_v2/nlpguy/StableProse/bedab076-13e7-468a-b8e8-dddb57d78583.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/nlpguy_StableProse/1762652580.40907",
-  "retrieved_timestamp": "1762652580.40907",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "nlpguy/StableProse",
-    "developer": "nlpguy",
-    "inference_platform": "unknown",
-    "id": "nlpguy/StableProse",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 12.248
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.19723888172271792
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5116558625577087
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.0649546827794562
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3028523489932886
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4067083333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3468251329787234
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/nlpguy/StarFusion-alpha1/1d5c35ef-ec57-42a3-8459-6db62627c6d2.json b/data/hfopenllm_v2/nlpguy/StarFusion-alpha1/1d5c35ef-ec57-42a3-8459-6db62627c6d2.json
deleted file mode 100644
index d17af3398..000000000
--- a/data/hfopenllm_v2/nlpguy/StarFusion-alpha1/1d5c35ef-ec57-42a3-8459-6db62627c6d2.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/nlpguy_StarFusion-alpha1/1762652580.409272",
-  "retrieved_timestamp": "1762652580.409272",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "nlpguy/StarFusion-alpha1",
-    "developer": "nlpguy",
-    "inference_platform": "unknown",
-    "id": "nlpguy/StarFusion-alpha1",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5660092997690572
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4428694115507034
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.07175226586102719
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2953020134228188
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.40810416666666666
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3190658244680851
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/nlpguy/StarFusion-alpha1/2ab375f0-2477-48a5-a5d9-0b5d0d7d0a84.json b/data/hfopenllm_v2/nlpguy/StarFusion-alpha1/2ab375f0-2477-48a5-a5d9-0b5d0d7d0a84.json
new file mode 100644
index 000000000..3dae9ae39
--- /dev/null
+++ b/data/hfopenllm_v2/nlpguy/StarFusion-alpha1/2ab375f0-2477-48a5-a5d9-0b5d0d7d0a84.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/nlpguy_StarFusion-alpha1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "StarFusion-alpha1",
+    "id": "nlpguy/StarFusion-alpha1",
+    "developer": "nlpguy",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.566
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4429
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0718
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2953
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4081
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3191
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/noname0202/Llama-3.2-4x3B-Instruct/e0525a52-d38c-4b2f-b59b-048b4bf71cb2.json b/data/hfopenllm_v2/noname0202/Llama-3.2-4x3B-Instruct/e0525a52-d38c-4b2f-b59b-048b4bf71cb2.json
new file mode 100644
index 000000000..d9ea08253
--- /dev/null
+++ b/data/hfopenllm_v2/noname0202/Llama-3.2-4x3B-Instruct/e0525a52-d38c-4b2f-b59b-048b4bf71cb2.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/noname0202_Llama-3.2-4x3B-Instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-3.2-4x3B-Instruct",
+    "id": "noname0202/Llama-3.2-4x3B-Instruct",
+    "developer": "noname0202",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MixtralForCausalLM",
+      "params_billions": 9.949
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7067
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4647
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1586
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2727
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3674
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3285
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/noname0202/Llama-3.2-4x3B-Instruct/e9511b0a-1083-4a0d-a9e0-97efcfc0891e.json b/data/hfopenllm_v2/noname0202/Llama-3.2-4x3B-Instruct/e9511b0a-1083-4a0d-a9e0-97efcfc0891e.json
deleted file mode 100644
index 2135d9813..000000000
--- a/data/hfopenllm_v2/noname0202/Llama-3.2-4x3B-Instruct/e9511b0a-1083-4a0d-a9e0-97efcfc0891e.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/noname0202_Llama-3.2-4x3B-Instruct/1762652580.409481",
-  "retrieved_timestamp": "1762652580.409481",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "noname0202/Llama-3.2-4x3B-Instruct",
-    "developer": "noname0202",
-    "inference_platform": "unknown",
-    "id": "noname0202/Llama-3.2-4x3B-Instruct",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MixtralForCausalLM",
-      "params_billions": 9.949
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7067181744438091
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4647311192852755
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.15861027190332327
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2726510067114094
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.36739583333333337
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3285405585106383
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/noname0202/gemma-2-2b-it-ties/01bc964f-552b-4cda-9ed0-cf720f0c8de4.json b/data/hfopenllm_v2/noname0202/gemma-2-2b-it-ties/01bc964f-552b-4cda-9ed0-cf720f0c8de4.json
new file mode 100644
index 000000000..51a2199d0
--- /dev/null
+++ b/data/hfopenllm_v2/noname0202/gemma-2-2b-it-ties/01bc964f-552b-4cda-9ed0-cf720f0c8de4.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/noname0202_gemma-2-2b-it-ties/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "gemma-2-2b-it-ties",
+    "id": "noname0202/gemma-2-2b-it-ties",
+    "developer": "noname0202",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Gemma2ForCausalLM",
+      "params_billions": 2.614
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1266
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4206
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0242
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2701
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3929
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2561
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/noname0202/gemma-2-9b-sft-jp-en-zh-v1/b32d34eb-14b5-410a-8772-041d40ca73b8.json b/data/hfopenllm_v2/noname0202/gemma-2-9b-sft-jp-en-zh-v1/b32d34eb-14b5-410a-8772-041d40ca73b8.json
deleted file mode 100644
index 35a3b17ed..000000000
--- a/data/hfopenllm_v2/noname0202/gemma-2-9b-sft-jp-en-zh-v1/b32d34eb-14b5-410a-8772-041d40ca73b8.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/noname0202_gemma-2-9b-sft-jp-en-zh-v1/1762652580.410035",
-  "retrieved_timestamp": "1762652580.410036",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "noname0202/gemma-2-9b-sft-jp-en-zh-v1",
-    "developer": "noname0202",
-    "inference_platform": "unknown",
-    "id": "noname0202/gemma-2-9b-sft-jp-en-zh-v1",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Gemma2ForCausalLM",
-      "params_billions": 9.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.29880494864736673
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4519290530910057
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.0891238670694864
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3070469798657718
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.40801041666666665
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3125
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/noname0202/gemma-2-9b-sft-jp-en-zh-v1/c9e95c55-978e-485b-8a77-ab2e668e3254.json b/data/hfopenllm_v2/noname0202/gemma-2-9b-sft-jp-en-zh-v1/c9e95c55-978e-485b-8a77-ab2e668e3254.json
new file mode 100644
index 000000000..088f2166d
--- /dev/null
+++ b/data/hfopenllm_v2/noname0202/gemma-2-9b-sft-jp-en-zh-v1/c9e95c55-978e-485b-8a77-ab2e668e3254.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/noname0202_gemma-2-9b-sft-jp-en-zh-v1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "gemma-2-9b-sft-jp-en-zh-v1",
+    "id": "noname0202/gemma-2-9b-sft-jp-en-zh-v1",
+    "developer": "noname0202",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Gemma2ForCausalLM",
+      "params_billions": 9.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2988
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4519
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0891
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.307
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.408
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3125
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/noname0202/gemma-2-9b-sft-jp-en-zh-v2/c71c606b-ccb7-48e9-a6c8-b72205ec6c06.json b/data/hfopenllm_v2/noname0202/gemma-2-9b-sft-jp-en-zh-v2/c71c606b-ccb7-48e9-a6c8-b72205ec6c06.json
new file mode 100644
index 000000000..26c8c9012
--- /dev/null
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/noname0202/gemma-2-9b-sft-jp-en-zh-v2/ee687c56-a9b4-4205-866b-b3067c066992.json b/data/hfopenllm_v2/noname0202/gemma-2-9b-sft-jp-en-zh-v2/ee687c56-a9b4-4205-866b-b3067c066992.json
deleted file mode 100644
index ca0953615..000000000
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diff --git a/data/hfopenllm_v2/noname0202/llama-math-1b-r16-0to512tokens-test/ae1801cb-d112-4d1a-895d-c6743779846a.json b/data/hfopenllm_v2/noname0202/llama-math-1b-r16-0to512tokens-test/ae1801cb-d112-4d1a-895d-c6743779846a.json
new file mode 100644
index 000000000..ff9746f84
--- /dev/null
+++ b/data/hfopenllm_v2/noname0202/llama-math-1b-r16-0to512tokens-test/ae1801cb-d112-4d1a-895d-c6743779846a.json
@@ -0,0 +1,132 @@
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/noname0202/llama-math-1b-r32-0to512tokens-test/008e3601-dfc4-4bc1-bf8b-f5cef43ae098.json b/data/hfopenllm_v2/noname0202/llama-math-1b-r32-0to512tokens-test/008e3601-dfc4-4bc1-bf8b-f5cef43ae098.json
new file mode 100644
index 000000000..d00eac878
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@@ -0,0 +1,132 @@
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/noname0202/llama-math-1b-r32-test/379b315d-96fb-4edb-b2d6-3dc113a10c17.json b/data/hfopenllm_v2/noname0202/llama-math-1b-r32-test/379b315d-96fb-4edb-b2d6-3dc113a10c17.json
new file mode 100644
index 000000000..442e75821
--- /dev/null
+++ b/data/hfopenllm_v2/noname0202/llama-math-1b-r32-test/379b315d-96fb-4edb-b2d6-3dc113a10c17.json
@@ -0,0 +1,132 @@
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+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1781
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/noname0202/llama-math-1b-r8-512tokens-test/8cd36aa1-6f87-4d4d-a1bf-adc87e0a26c6.json b/data/hfopenllm_v2/noname0202/llama-math-1b-r8-512tokens-test/8cd36aa1-6f87-4d4d-a1bf-adc87e0a26c6.json
new file mode 100644
index 000000000..982f70f06
--- /dev/null
+++ b/data/hfopenllm_v2/noname0202/llama-math-1b-r8-512tokens-test/8cd36aa1-6f87-4d4d-a1bf-adc87e0a26c6.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/noname0202_llama-math-1b-r8-512tokens-test/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "llama-math-1b-r8-512tokens-test",
+    "id": "noname0202/llama-math-1b-r8-512tokens-test",
+    "developer": "noname0202",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 1.236
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5792
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3496
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0816
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2685
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3169
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1753
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/notbdq/Qwen2.5-14B-Instruct-1M-GRPO-Reasoning/7e0f008e-4327-4ee0-a810-b5564b651233.json b/data/hfopenllm_v2/notbdq/Qwen2.5-14B-Instruct-1M-GRPO-Reasoning/7e0f008e-4327-4ee0-a810-b5564b651233.json
deleted file mode 100644
index 7c9745909..000000000
--- a/data/hfopenllm_v2/notbdq/Qwen2.5-14B-Instruct-1M-GRPO-Reasoning/7e0f008e-4327-4ee0-a810-b5564b651233.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/notbdq_Qwen2.5-14B-Instruct-1M-GRPO-Reasoning/1762652580.4113228",
-  "retrieved_timestamp": "1762652580.4113238",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "notbdq/Qwen2.5-14B-Instruct-1M-GRPO-Reasoning",
-    "developer": "notbdq",
-    "inference_platform": "unknown",
-    "id": "notbdq/Qwen2.5-14B-Instruct-1M-GRPO-Reasoning",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 14.77
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.8413564896696322
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6198222551365405
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5302114803625377
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.34312080536912754
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.418
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4849567819148936
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/notbdq/Qwen2.5-14B-Instruct-1M-GRPO-Reasoning/f76ce244-29f7-44f0-9850-7291f8e4cbf1.json b/data/hfopenllm_v2/notbdq/Qwen2.5-14B-Instruct-1M-GRPO-Reasoning/f76ce244-29f7-44f0-9850-7291f8e4cbf1.json
new file mode 100644
index 000000000..92f477fa6
--- /dev/null
+++ b/data/hfopenllm_v2/notbdq/Qwen2.5-14B-Instruct-1M-GRPO-Reasoning/f76ce244-29f7-44f0-9850-7291f8e4cbf1.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/notbdq_Qwen2.5-14B-Instruct-1M-GRPO-Reasoning/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-14B-Instruct-1M-GRPO-Reasoning",
+    "id": "notbdq/Qwen2.5-14B-Instruct-1M-GRPO-Reasoning",
+    "developer": "notbdq",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.77
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.8414
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6198
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5302
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3431
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.418
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.485
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/nothingiisreal/L3.1-8B-Celeste-V1.5/506871f1-0c87-4e8c-a270-eed7b5da2599.json b/data/hfopenllm_v2/nothingiisreal/L3.1-8B-Celeste-V1.5/506871f1-0c87-4e8c-a270-eed7b5da2599.json
new file mode 100644
index 000000000..6a557a511
--- /dev/null
+++ b/data/hfopenllm_v2/nothingiisreal/L3.1-8B-Celeste-V1.5/506871f1-0c87-4e8c-a270-eed7b5da2599.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/nothingiisreal_L3.1-8B-Celeste-V1.5/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "L3.1-8B-Celeste-V1.5",
+    "id": "nothingiisreal/L3.1-8B-Celeste-V1.5",
+    "developer": "nothingiisreal",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7327
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5012
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1465
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2844
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3749
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3704
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/nothingiisreal/L3.1-8B-Celeste-V1.5/5b7a80ce-0fb2-4fb8-9381-184d7a434706.json b/data/hfopenllm_v2/nothingiisreal/L3.1-8B-Celeste-V1.5/5b7a80ce-0fb2-4fb8-9381-184d7a434706.json
deleted file mode 100644
index 812d3c5c9..000000000
--- a/data/hfopenllm_v2/nothingiisreal/L3.1-8B-Celeste-V1.5/5b7a80ce-0fb2-4fb8-9381-184d7a434706.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/nothingiisreal_L3.1-8B-Celeste-V1.5/1762652580.4115741",
-  "retrieved_timestamp": "1762652580.411575",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "nothingiisreal/L3.1-8B-Celeste-V1.5",
-    "developer": "nothingiisreal",
-    "inference_platform": "unknown",
-    "id": "nothingiisreal/L3.1-8B-Celeste-V1.5",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7326715337526651
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5011796822721141
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.14652567975830816
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.28439597315436244
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37486458333333333
-      }
-    },
-    {
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diff --git a/data/hfopenllm_v2/nothingiisreal/MN-12B-Starcannon-v2/1ff70031-dbe8-467a-9dbd-9fd789b9841b.json b/data/hfopenllm_v2/nothingiisreal/MN-12B-Starcannon-v2/1ff70031-dbe8-467a-9dbd-9fd789b9841b.json
deleted file mode 100644
index a71b908f9..000000000
--- a/data/hfopenllm_v2/nothingiisreal/MN-12B-Starcannon-v2/1ff70031-dbe8-467a-9dbd-9fd789b9841b.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
-    "name": "nothingiisreal/MN-12B-Starcannon-v2",
-    "developer": "nothingiisreal",
-    "inference_platform": "unknown",
-    "id": "nothingiisreal/MN-12B-Starcannon-v2",
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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diff --git a/data/hfopenllm_v2/nothingiisreal/MN-12B-Starcannon-v2/c20264fd-b1f9-4e0f-9f6e-1d58f1c18cda.json b/data/hfopenllm_v2/nothingiisreal/MN-12B-Starcannon-v2/c20264fd-b1f9-4e0f-9f6e-1d58f1c18cda.json
new file mode 100644
index 000000000..b14841c8a
--- /dev/null
+++ b/data/hfopenllm_v2/nothingiisreal/MN-12B-Starcannon-v2/c20264fd-b1f9-4e0f-9f6e-1d58f1c18cda.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/nothingiisreal_MN-12B-Starcannon-v2/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "MN-12B-Starcannon-v2",
+    "id": "nothingiisreal/MN-12B-Starcannon-v2",
+    "developer": "nothingiisreal",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 12.248
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3925
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5004
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0597
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2785
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3978
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3128
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/nothingiisreal/MN-12B-Starcannon-v3/59f14dca-923a-41f1-b443-cc3551063f45.json b/data/hfopenllm_v2/nothingiisreal/MN-12B-Starcannon-v3/59f14dca-923a-41f1-b443-cc3551063f45.json
new file mode 100644
index 000000000..9f9ddf54f
--- /dev/null
+++ b/data/hfopenllm_v2/nothingiisreal/MN-12B-Starcannon-v3/59f14dca-923a-41f1-b443-cc3551063f45.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/nothingiisreal_MN-12B-Starcannon-v3/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "MN-12B-Starcannon-v3",
+    "id": "nothingiisreal/MN-12B-Starcannon-v3",
+    "developer": "nothingiisreal",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 12.248
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3807
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5171
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0778
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4046
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3265
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/nothingiisreal/MN-12B-Starcannon-v3/633a786a-fe99-4a6e-b402-888e36e8b6c9.json b/data/hfopenllm_v2/nothingiisreal/MN-12B-Starcannon-v3/633a786a-fe99-4a6e-b402-888e36e8b6c9.json
deleted file mode 100644
index c6ec8add6..000000000
--- a/data/hfopenllm_v2/nothingiisreal/MN-12B-Starcannon-v3/633a786a-fe99-4a6e-b402-888e36e8b6c9.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "source_data": [
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
-    "name": "nothingiisreal/MN-12B-Starcannon-v3",
-    "developer": "nothingiisreal",
-    "inference_platform": "unknown",
-    "id": "nothingiisreal/MN-12B-Starcannon-v3",
-    "additional_details": {
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-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.27348993288590606
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-    },
-    {
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-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.40463541666666664
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    }
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-}
diff --git a/data/hfopenllm_v2/nvidia/AceInstruct-1.5B/a1ba054f-b0a1-4827-b7ea-3988aa4cf1f1.json b/data/hfopenllm_v2/nvidia/AceInstruct-1.5B/a1ba054f-b0a1-4827-b7ea-3988aa4cf1f1.json
new file mode 100644
index 000000000..e9741ba03
--- /dev/null
+++ b/data/hfopenllm_v2/nvidia/AceInstruct-1.5B/a1ba054f-b0a1-4827-b7ea-3988aa4cf1f1.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/nvidia_AceInstruct-1.5B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "AceInstruct-1.5B",
+    "id": "nvidia/AceInstruct-1.5B",
+    "developer": "nvidia",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 1.777
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3948
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3932
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3127
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2718
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.346
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2574
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/nvidia/AceInstruct-1.5B/a26b4b3f-aad1-4d2f-a97a-bf24850a3092.json b/data/hfopenllm_v2/nvidia/AceInstruct-1.5B/a26b4b3f-aad1-4d2f-a97a-bf24850a3092.json
deleted file mode 100644
index 20f4a7fbe..000000000
--- a/data/hfopenllm_v2/nvidia/AceInstruct-1.5B/a26b4b3f-aad1-4d2f-a97a-bf24850a3092.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/nvidia_AceInstruct-1.5B/1762652580.412246",
-  "retrieved_timestamp": "1762652580.412247",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "nvidia/AceInstruct-1.5B",
-    "developer": "nvidia",
-    "inference_platform": "unknown",
-    "id": "nvidia/AceInstruct-1.5B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 1.777
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3947758613811354
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3931958135346713
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.27181208053691275
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-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.34600000000000003
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2573969414893617
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/nvidia/AceInstruct-72B/08e924b1-121c-4ff7-bf1d-06b9cb90c7c0.json b/data/hfopenllm_v2/nvidia/AceInstruct-72B/08e924b1-121c-4ff7-bf1d-06b9cb90c7c0.json
deleted file mode 100644
index efc6313bd..000000000
--- a/data/hfopenllm_v2/nvidia/AceInstruct-72B/08e924b1-121c-4ff7-bf1d-06b9cb90c7c0.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/nvidia_AceInstruct-72B/1762652580.4124959",
-  "retrieved_timestamp": "1762652580.4124968",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "nvidia/AceInstruct-72B",
-    "developer": "nvidia",
-    "inference_platform": "unknown",
-    "id": "nvidia/AceInstruct-72B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 72.706
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6139041785911337
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-        "score": 0.6261329305135952
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
-        "score": 0.3213087248322148
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42060416666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.48736702127659576
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/nvidia/AceInstruct-72B/51d8f53f-ad7e-4dae-9e2a-0895729ff790.json b/data/hfopenllm_v2/nvidia/AceInstruct-72B/51d8f53f-ad7e-4dae-9e2a-0895729ff790.json
new file mode 100644
index 000000000..589e694b8
--- /dev/null
+++ b/data/hfopenllm_v2/nvidia/AceInstruct-72B/51d8f53f-ad7e-4dae-9e2a-0895729ff790.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/nvidia_AceInstruct-72B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "AceInstruct-72B",
+    "id": "nvidia/AceInstruct-72B",
+    "developer": "nvidia",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 72.706
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7119
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6139
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6261
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3213
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4206
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4874
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/nvidia/AceInstruct-7B/421119ea-0da8-4b26-a335-f2e720618c44.json b/data/hfopenllm_v2/nvidia/AceInstruct-7B/421119ea-0da8-4b26-a335-f2e720618c44.json
new file mode 100644
index 000000000..50b4c8bff
--- /dev/null
+++ b/data/hfopenllm_v2/nvidia/AceInstruct-7B/421119ea-0da8-4b26-a335-f2e720618c44.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/nvidia_AceInstruct-7B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "AceInstruct-7B",
+    "id": "nvidia/AceInstruct-7B",
+    "developer": "nvidia",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5422
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5501
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5295
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.307
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4255
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4177
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/nvidia/AceInstruct-7B/d0680660-92e5-471b-a4c9-2658e7c59dd0.json b/data/hfopenllm_v2/nvidia/AceInstruct-7B/d0680660-92e5-471b-a4c9-2658e7c59dd0.json
deleted file mode 100644
index a540d9948..000000000
--- a/data/hfopenllm_v2/nvidia/AceInstruct-7B/d0680660-92e5-471b-a4c9-2658e7c59dd0.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/nvidia_AceInstruct-7B/1762652580.412692",
-  "retrieved_timestamp": "1762652580.412693",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "nvidia/AceInstruct-7B",
-    "developer": "nvidia",
-    "inference_platform": "unknown",
-    "id": "nvidia/AceInstruct-7B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.616
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5422290633297429
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.550118130896558
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
-        "score": 0.3070469798657718
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4255
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.417719414893617
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/nvidia/AceMath-1.5B-Instruct/8584e2c5-dd32-4cd0-9089-1b4e17a1ffac.json b/data/hfopenllm_v2/nvidia/AceMath-1.5B-Instruct/8584e2c5-dd32-4cd0-9089-1b4e17a1ffac.json
deleted file mode 100644
index a11edde87..000000000
--- a/data/hfopenllm_v2/nvidia/AceMath-1.5B-Instruct/8584e2c5-dd32-4cd0-9089-1b4e17a1ffac.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/nvidia_AceMath-1.5B-Instruct/1762652580.412895",
-  "retrieved_timestamp": "1762652580.412896",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "nvidia/AceMath-1.5B-Instruct",
-    "developer": "nvidia",
-    "inference_platform": "unknown",
-    "id": "nvidia/AceMath-1.5B-Instruct",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 1.777
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
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diff --git a/data/hfopenllm_v2/nvidia/AceMath-1.5B-Instruct/b0e6bfb2-a8d4-4b1d-859a-aa821f646e57.json b/data/hfopenllm_v2/nvidia/AceMath-1.5B-Instruct/b0e6bfb2-a8d4-4b1d-859a-aa821f646e57.json
new file mode 100644
index 000000000..cd6ae73f6
--- /dev/null
+++ b/data/hfopenllm_v2/nvidia/AceMath-1.5B-Instruct/b0e6bfb2-a8d4-4b1d-859a-aa821f646e57.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/nvidia_AceMath-1.5B-Instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "AceMath-1.5B-Instruct",
+    "id": "nvidia/AceMath-1.5B-Instruct",
+    "developer": "nvidia",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 1.777
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+      "score_details": {
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+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+    },
+    {
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+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2743
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3607
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+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2064
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/nvidia/AceMath-72B-Instruct/4ba1027b-f0c1-4ed9-aa30-35c4e01e564d.json b/data/hfopenllm_v2/nvidia/AceMath-72B-Instruct/4ba1027b-f0c1-4ed9-aa30-35c4e01e564d.json
deleted file mode 100644
index 6a4f8fb07..000000000
--- a/data/hfopenllm_v2/nvidia/AceMath-72B-Instruct/4ba1027b-f0c1-4ed9-aa30-35c4e01e564d.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-}
diff --git a/data/hfopenllm_v2/nvidia/AceMath-72B-Instruct/7c4c2ccf-7d7b-4d24-802e-20c182290d07.json b/data/hfopenllm_v2/nvidia/AceMath-72B-Instruct/7c4c2ccf-7d7b-4d24-802e-20c182290d07.json
new file mode 100644
index 000000000..8c57ec762
--- /dev/null
+++ b/data/hfopenllm_v2/nvidia/AceMath-72B-Instruct/7c4c2ccf-7d7b-4d24-802e-20c182290d07.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/nvidia_AceMath-72B-Instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "AceMath-72B-Instruct",
+    "id": "nvidia/AceMath-72B-Instruct",
+    "developer": "nvidia",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 72.706
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6402
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
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+      },
+      "score_details": {
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+    },
+    {
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.271
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4062
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+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/nvidia/AceMath-72B-RM/5fdd0c8f-3393-4b59-8cc1-511c524c493a.json b/data/hfopenllm_v2/nvidia/AceMath-72B-RM/5fdd0c8f-3393-4b59-8cc1-511c524c493a.json
deleted file mode 100644
index 171eb6815..000000000
--- a/data/hfopenllm_v2/nvidia/AceMath-72B-RM/5fdd0c8f-3393-4b59-8cc1-511c524c493a.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-    "source_type": "documentation"
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-        "min_score": 0,
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-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-      "score_details": {
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-    }
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-}
diff --git a/data/hfopenllm_v2/nvidia/AceMath-72B-RM/95212a55-f382-4869-9e11-cfa201ba865b.json b/data/hfopenllm_v2/nvidia/AceMath-72B-RM/95212a55-f382-4869-9e11-cfa201ba865b.json
new file mode 100644
index 000000000..a94d6d7b0
--- /dev/null
+++ b/data/hfopenllm_v2/nvidia/AceMath-72B-RM/95212a55-f382-4869-9e11-cfa201ba865b.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/nvidia_AceMath-72B-RM/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
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+    "name": "AceMath-72B-RM",
+    "id": "nvidia/AceMath-72B-RM",
+    "developer": "nvidia",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForSequenceClassification",
+      "params_billions": 71.461
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2717
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+    },
+    {
+      "evaluation_name": "MATH Level 5",
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+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
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+        "score_type": "continuous",
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+        "max_score": 1.0
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+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
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+    {
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+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3351
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+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
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+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/nvidia/AceMath-7B-Instruct/a7da2118-063c-489f-bb31-40f1b7beeefe.json b/data/hfopenllm_v2/nvidia/AceMath-7B-Instruct/a7da2118-063c-489f-bb31-40f1b7beeefe.json
new file mode 100644
index 000000000..66e2a33e8
--- /dev/null
+++ b/data/hfopenllm_v2/nvidia/AceMath-7B-Instruct/a7da2118-063c-489f-bb31-40f1b7beeefe.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/nvidia_AceMath-7B-Instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "AceMath-7B-Instruct",
+    "id": "nvidia/AceMath-7B-Instruct",
+    "developer": "nvidia",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4994
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "max_score": 1.0
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+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "max_score": 1.0
+      },
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+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/nvidia/AceMath-7B-Instruct/e1c94d59-dfa4-49cf-9052-9ce6e713a0be.json b/data/hfopenllm_v2/nvidia/AceMath-7B-Instruct/e1c94d59-dfa4-49cf-9052-9ce6e713a0be.json
deleted file mode 100644
index 50b14fbf0..000000000
--- a/data/hfopenllm_v2/nvidia/AceMath-7B-Instruct/e1c94d59-dfa4-49cf-9052-9ce6e713a0be.json
+++ /dev/null
@@ -1,105 +0,0 @@
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-        "max_score": 1
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-}
diff --git a/data/hfopenllm_v2/nvidia/AceMath-7B-RM/9a75ae18-8f9a-40a5-8a7b-0c38df34e9dd.json b/data/hfopenllm_v2/nvidia/AceMath-7B-RM/9a75ae18-8f9a-40a5-8a7b-0c38df34e9dd.json
new file mode 100644
index 000000000..9eb39d05c
--- /dev/null
+++ b/data/hfopenllm_v2/nvidia/AceMath-7B-RM/9a75ae18-8f9a-40a5-8a7b-0c38df34e9dd.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/nvidia_AceMath-7B-RM/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "AceMath-7B-RM",
+    "id": "nvidia/AceMath-7B-RM",
+    "developer": "nvidia",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForSequenceClassification",
+      "params_billions": 7.071
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
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+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2423
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+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.358
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+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/nvidia/AceMath-7B-RM/ab9c685d-7b97-4bf4-bc0e-ffd5666e35d9.json b/data/hfopenllm_v2/nvidia/AceMath-7B-RM/ab9c685d-7b97-4bf4-bc0e-ffd5666e35d9.json
deleted file mode 100644
index 427f94913..000000000
--- a/data/hfopenllm_v2/nvidia/AceMath-7B-RM/ab9c685d-7b97-4bf4-bc0e-ffd5666e35d9.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-    "name": "nvidia/AceMath-7B-RM",
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diff --git a/data/hfopenllm_v2/nvidia/Hymba-1.5B-Base/89f9149f-1f6d-4389-819a-d958b0ecc6b8.json b/data/hfopenllm_v2/nvidia/Hymba-1.5B-Base/89f9149f-1f6d-4389-819a-d958b0ecc6b8.json
deleted file mode 100644
index 1a859a04e..000000000
--- a/data/hfopenllm_v2/nvidia/Hymba-1.5B-Base/89f9149f-1f6d-4389-819a-d958b0ecc6b8.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/nvidia/Hymba-1.5B-Base/a85d4a1f-fbd9-4d21-9700-9e55e30c1391.json b/data/hfopenllm_v2/nvidia/Hymba-1.5B-Base/a85d4a1f-fbd9-4d21-9700-9e55e30c1391.json
new file mode 100644
index 000000000..f9cc991e3
--- /dev/null
+++ b/data/hfopenllm_v2/nvidia/Hymba-1.5B-Base/a85d4a1f-fbd9-4d21-9700-9e55e30c1391.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/nvidia_Hymba-1.5B-Base/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Hymba-1.5B-Base",
+    "id": "nvidia/Hymba-1.5B-Base",
+    "developer": "nvidia",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "HymbaForCausalLM",
+      "params_billions": 1.523
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2295
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3256
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0136
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2559
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3566
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1922
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/nvidia/Hymba-1.5B-Instruct/2fd1c45e-209c-43da-ae85-d60887513a96.json b/data/hfopenllm_v2/nvidia/Hymba-1.5B-Instruct/2fd1c45e-209c-43da-ae85-d60887513a96.json
new file mode 100644
index 000000000..9057e3697
--- /dev/null
+++ b/data/hfopenllm_v2/nvidia/Hymba-1.5B-Instruct/2fd1c45e-209c-43da-ae85-d60887513a96.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/nvidia_Hymba-1.5B-Instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Hymba-1.5B-Instruct",
+    "id": "nvidia/Hymba-1.5B-Instruct",
+    "developer": "nvidia",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "HymbaForCausalLM",
+      "params_billions": 1.523
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6009
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3067
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0272
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2886
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3316
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.204
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/nvidia/Hymba-1.5B-Instruct/ae6e9c29-eb12-4dd5-bdbc-e84b499cf40f.json b/data/hfopenllm_v2/nvidia/Hymba-1.5B-Instruct/ae6e9c29-eb12-4dd5-bdbc-e84b499cf40f.json
deleted file mode 100644
index 127002d92..000000000
--- a/data/hfopenllm_v2/nvidia/Hymba-1.5B-Instruct/ae6e9c29-eb12-4dd5-bdbc-e84b499cf40f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/nvidia_Hymba-1.5B-Instruct/1762652580.414529",
-  "retrieved_timestamp": "1762652580.41453",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "nvidia/Hymba-1.5B-Instruct",
-    "developer": "nvidia",
-    "inference_platform": "unknown",
-    "id": "nvidia/Hymba-1.5B-Instruct",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "HymbaForCausalLM",
-      "params_billions": 1.523
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6009055971488984
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3067133908231881
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.027190332326283987
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.28859060402684567
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.33158333333333334
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.20403922872340424
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/nvidia/Llama-3.1-Minitron-4B-Depth-Base/91e0e6aa-b933-4a02-a28d-8d69e698c60a.json b/data/hfopenllm_v2/nvidia/Llama-3.1-Minitron-4B-Depth-Base/91e0e6aa-b933-4a02-a28d-8d69e698c60a.json
new file mode 100644
index 000000000..cafbeee97
--- /dev/null
+++ b/data/hfopenllm_v2/nvidia/Llama-3.1-Minitron-4B-Depth-Base/91e0e6aa-b933-4a02-a28d-8d69e698c60a.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/nvidia_Llama-3.1-Minitron-4B-Depth-Base/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-3.1-Minitron-4B-Depth-Base",
+    "id": "nvidia/Llama-3.1-Minitron-4B-Depth-Base",
+    "developer": "nvidia",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 4.02
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1607
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4171
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0196
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2634
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4011
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2798
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/nvidia/Llama-3.1-Nemotron-70B-Instruct-HF/2366b5e1-0a56-4d6e-83e6-12f12eca3ec4.json b/data/hfopenllm_v2/nvidia/Llama-3.1-Nemotron-70B-Instruct-HF/2366b5e1-0a56-4d6e-83e6-12f12eca3ec4.json
deleted file mode 100644
index ac330a38d..000000000
--- a/data/hfopenllm_v2/nvidia/Llama-3.1-Nemotron-70B-Instruct-HF/2366b5e1-0a56-4d6e-83e6-12f12eca3ec4.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/nvidia_Llama-3.1-Nemotron-70B-Instruct-HF/1762652580.415039",
-  "retrieved_timestamp": "1762652580.41504",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "nvidia/Llama-3.1-Nemotron-70B-Instruct-HF",
-    "developer": "nvidia",
-    "inference_platform": "unknown",
-    "id": "nvidia/Llama-3.1-Nemotron-70B-Instruct-HF",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 70.554
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7380672172059026
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6316000668895038
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42673716012084595
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.25838926174496646
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4327604166666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.49185505319148937
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/nvidia/Llama-3.1-Nemotron-70B-Instruct-HF/6f3f3d06-2937-4c55-9b95-a62ae5253571.json b/data/hfopenllm_v2/nvidia/Llama-3.1-Nemotron-70B-Instruct-HF/6f3f3d06-2937-4c55-9b95-a62ae5253571.json
new file mode 100644
index 000000000..666f668f2
--- /dev/null
+++ b/data/hfopenllm_v2/nvidia/Llama-3.1-Nemotron-70B-Instruct-HF/6f3f3d06-2937-4c55-9b95-a62ae5253571.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/nvidia_Llama-3.1-Nemotron-70B-Instruct-HF/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-3.1-Nemotron-70B-Instruct-HF",
+    "id": "nvidia/Llama-3.1-Nemotron-70B-Instruct-HF",
+    "developer": "nvidia",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 70.554
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7381
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6316
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4267
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2584
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4328
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4919
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/nvidia/Minitron-4B-Base/9b3ffdd3-ac18-4084-9e83-1bfc61db0ec2.json b/data/hfopenllm_v2/nvidia/Minitron-4B-Base/9b3ffdd3-ac18-4084-9e83-1bfc61db0ec2.json
new file mode 100644
index 000000000..2e2aa65ef
--- /dev/null
+++ b/data/hfopenllm_v2/nvidia/Minitron-4B-Base/9b3ffdd3-ac18-4084-9e83-1bfc61db0ec2.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/nvidia_Minitron-4B-Base/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Minitron-4B-Base",
+    "id": "nvidia/Minitron-4B-Base",
+    "developer": "nvidia",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "NemotronForCausalLM",
+      "params_billions": 4.0
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2218
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4084
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0196
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2693
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4134
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.262
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/nvidia/Minitron-4B-Base/f5e52953-2dfc-4661-81cd-ed96d7a52482.json b/data/hfopenllm_v2/nvidia/Minitron-4B-Base/f5e52953-2dfc-4661-81cd-ed96d7a52482.json
deleted file mode 100644
index ceffb3fbf..000000000
--- a/data/hfopenllm_v2/nvidia/Minitron-4B-Base/f5e52953-2dfc-4661-81cd-ed96d7a52482.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/nvidia_Minitron-4B-Base/1762652580.415251",
-  "retrieved_timestamp": "1762652580.415252",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
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-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "nvidia/Minitron-4B-Base",
-    "developer": "nvidia",
-    "inference_platform": "unknown",
-    "id": "nvidia/Minitron-4B-Base",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "NemotronForCausalLM",
-      "params_billions": 4.0
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-      }
-    },
-    {
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-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4083876243992497
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.26929530201342283
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.413375
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.261968085106383
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/nvidia/Minitron-8B-Base/3f6ec864-adf4-422f-85c1-19ef2417489a.json b/data/hfopenllm_v2/nvidia/Minitron-8B-Base/3f6ec864-adf4-422f-85c1-19ef2417489a.json
deleted file mode 100644
index f659cf81f..000000000
--- a/data/hfopenllm_v2/nvidia/Minitron-8B-Base/3f6ec864-adf4-422f-85c1-19ef2417489a.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/nvidia_Minitron-8B-Base/1762652580.415456",
-  "retrieved_timestamp": "1762652580.415456",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "nvidia/Minitron-8B-Base",
-    "developer": "nvidia",
-    "inference_platform": "unknown",
-    "id": "nvidia/Minitron-8B-Base",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "NemotronForCausalLM",
-      "params_billions": 7.22
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-        "evaluation_description": "Accuracy on BBH",
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.0256797583081571
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.27348993288590606
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.40255208333333337
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.31806848404255317
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/nvidia/Minitron-8B-Base/60077cbd-87af-4a00-a359-9235acb011ed.json b/data/hfopenllm_v2/nvidia/Minitron-8B-Base/60077cbd-87af-4a00-a359-9235acb011ed.json
new file mode 100644
index 000000000..e6699dedf
--- /dev/null
+++ b/data/hfopenllm_v2/nvidia/Minitron-8B-Base/60077cbd-87af-4a00-a359-9235acb011ed.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/nvidia_Minitron-8B-Base/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Minitron-8B-Base",
+    "id": "nvidia/Minitron-8B-Base",
+    "developer": "nvidia",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "NemotronForCausalLM",
+      "params_billions": 7.22
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2424
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4395
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0257
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2735
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4026
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3181
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/nvidia/Mistral-NeMo-Minitron-8B-Base/577936a8-b450-4233-b633-064565b3d1a4.json b/data/hfopenllm_v2/nvidia/Mistral-NeMo-Minitron-8B-Base/577936a8-b450-4233-b633-064565b3d1a4.json
new file mode 100644
index 000000000..b690a4bd6
--- /dev/null
+++ b/data/hfopenllm_v2/nvidia/Mistral-NeMo-Minitron-8B-Base/577936a8-b450-4233-b633-064565b3d1a4.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/nvidia_Mistral-NeMo-Minitron-8B-Base/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Mistral-NeMo-Minitron-8B-Base",
+    "id": "nvidia/Mistral-NeMo-Minitron-8B-Base",
+    "developer": "nvidia",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.88
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1946
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5219
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0483
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3255
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4092
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3796
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/nvidia/Mistral-NeMo-Minitron-8B-Instruct/470b9413-2cc8-4bf4-9e7c-0b8e99929568.json b/data/hfopenllm_v2/nvidia/Mistral-NeMo-Minitron-8B-Instruct/470b9413-2cc8-4bf4-9e7c-0b8e99929568.json
new file mode 100644
index 000000000..964990218
--- /dev/null
+++ b/data/hfopenllm_v2/nvidia/Mistral-NeMo-Minitron-8B-Instruct/470b9413-2cc8-4bf4-9e7c-0b8e99929568.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/nvidia_Mistral-NeMo-Minitron-8B-Instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Mistral-NeMo-Minitron-8B-Instruct",
+    "id": "nvidia/Mistral-NeMo-Minitron-8B-Instruct",
+    "developer": "nvidia",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 8.414
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5004
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5321
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1163
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2878
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3886
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3991
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/nvidia/Mistral-NeMo-Minitron-8B-Instruct/f4c299f0-d957-4784-8512-23f72a26a095.json b/data/hfopenllm_v2/nvidia/Mistral-NeMo-Minitron-8B-Instruct/f4c299f0-d957-4784-8512-23f72a26a095.json
deleted file mode 100644
index d338c4fbd..000000000
--- a/data/hfopenllm_v2/nvidia/Mistral-NeMo-Minitron-8B-Instruct/f4c299f0-d957-4784-8512-23f72a26a095.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/nvidia_Mistral-NeMo-Minitron-8B-Instruct/1762652580.415967",
-  "retrieved_timestamp": "1762652580.415968",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "nvidia/Mistral-NeMo-Minitron-8B-Instruct",
-    "developer": "nvidia",
-    "inference_platform": "unknown",
-    "id": "nvidia/Mistral-NeMo-Minitron-8B-Instruct",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 8.414
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5003889679384035
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5320919605840294
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1163141993957704
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.287751677852349
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.38857291666666666
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.39910239361702127
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/nvidia/Nemotron-Mini-4B-Instruct/3cbf9c73-0dc8-402e-bc94-c6d52b9f1af7.json b/data/hfopenllm_v2/nvidia/Nemotron-Mini-4B-Instruct/3cbf9c73-0dc8-402e-bc94-c6d52b9f1af7.json
new file mode 100644
index 000000000..95835d5c7
--- /dev/null
+++ b/data/hfopenllm_v2/nvidia/Nemotron-Mini-4B-Instruct/3cbf9c73-0dc8-402e-bc94-c6d52b9f1af7.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/nvidia_Nemotron-Mini-4B-Instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Nemotron-Mini-4B-Instruct",
+    "id": "nvidia/Nemotron-Mini-4B-Instruct",
+    "developer": "nvidia",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "NemotronForCausalLM",
+      "params_billions": 4.0
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6669
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3865
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0257
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2802
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3767
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2626
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/nvidia/Nemotron-Mini-4B-Instruct/ab7ee3ac-4d47-4ec6-a2af-8a6f7eb96684.json b/data/hfopenllm_v2/nvidia/Nemotron-Mini-4B-Instruct/ab7ee3ac-4d47-4ec6-a2af-8a6f7eb96684.json
deleted file mode 100644
index 71e140cef..000000000
--- a/data/hfopenllm_v2/nvidia/Nemotron-Mini-4B-Instruct/ab7ee3ac-4d47-4ec6-a2af-8a6f7eb96684.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/nvidia_Nemotron-Mini-4B-Instruct/1762652580.41618",
-  "retrieved_timestamp": "1762652580.416181",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "nvidia/Nemotron-Mini-4B-Instruct",
-    "developer": "nvidia",
-    "inference_platform": "unknown",
-    "id": "nvidia/Nemotron-Mini-4B-Instruct",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "NemotronForCausalLM",
-      "params_billions": 4.0
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6668761109411916
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3864840798591535
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.0256797583081571
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2802013422818792
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3767291666666666
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.26263297872340424
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/nvidia/OpenMath2-Llama3.1-8B/3fccb1d0-5ae1-427a-adae-37004ecbacaa.json b/data/hfopenllm_v2/nvidia/OpenMath2-Llama3.1-8B/3fccb1d0-5ae1-427a-adae-37004ecbacaa.json
new file mode 100644
index 000000000..2fec4ab85
--- /dev/null
+++ b/data/hfopenllm_v2/nvidia/OpenMath2-Llama3.1-8B/3fccb1d0-5ae1-427a-adae-37004ecbacaa.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/nvidia_OpenMath2-Llama3.1-8B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "OpenMath2-Llama3.1-8B",
+    "id": "nvidia/OpenMath2-Llama3.1-8B",
+    "developer": "nvidia",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2331
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4096
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2674
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2651
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3436
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1553
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/nxmwxm/Beast-Soul-new/4ae25fa0-54af-4f47-853f-c97cd7b312d3.json b/data/hfopenllm_v2/nxmwxm/Beast-Soul-new/4ae25fa0-54af-4f47-853f-c97cd7b312d3.json
deleted file mode 100644
index b14c96dfd..000000000
--- a/data/hfopenllm_v2/nxmwxm/Beast-Soul-new/4ae25fa0-54af-4f47-853f-c97cd7b312d3.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/nxmwxm_Beast-Soul-new/1762652580.416598",
-  "retrieved_timestamp": "1762652580.416599",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "nxmwxm/Beast-Soul-new",
-    "developer": "nxmwxm",
-    "inference_platform": "unknown",
-    "id": "nxmwxm/Beast-Soul-new",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.48687482546310457
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5227143628884523
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.07401812688821752
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.28187919463087246
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4459270833333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3101728723404255
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/nxmwxm/Beast-Soul-new/6463183f-4043-4b96-b4d1-0bd41b4d6876.json b/data/hfopenllm_v2/nxmwxm/Beast-Soul-new/6463183f-4043-4b96-b4d1-0bd41b4d6876.json
new file mode 100644
index 000000000..63096f4f3
--- /dev/null
+++ b/data/hfopenllm_v2/nxmwxm/Beast-Soul-new/6463183f-4043-4b96-b4d1-0bd41b4d6876.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/nxmwxm_Beast-Soul-new/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Beast-Soul-new",
+    "id": "nxmwxm/Beast-Soul-new",
+    "developer": "nxmwxm",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4869
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5227
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.074
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2819
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4459
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3102
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/occiglot/occiglot-7b-es-en-instruct/0b102423-1a06-4e5b-a287-710695658b63.json b/data/hfopenllm_v2/occiglot/occiglot-7b-es-en-instruct/0b102423-1a06-4e5b-a287-710695658b63.json
new file mode 100644
index 000000000..14b07b1d6
--- /dev/null
+++ b/data/hfopenllm_v2/occiglot/occiglot-7b-es-en-instruct/0b102423-1a06-4e5b-a287-710695658b63.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/occiglot_occiglot-7b-es-en-instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "occiglot-7b-es-en-instruct",
+    "id": "occiglot/occiglot-7b-es-en-instruct",
+    "developer": "occiglot",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3485
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4111
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0242
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2592
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3738
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2311
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/occiglot/occiglot-7b-es-en-instruct/4207b47d-711c-4af8-9c70-becb270973eb.json b/data/hfopenllm_v2/occiglot/occiglot-7b-es-en-instruct/4207b47d-711c-4af8-9c70-becb270973eb.json
deleted file mode 100644
index 784795149..000000000
--- a/data/hfopenllm_v2/occiglot/occiglot-7b-es-en-instruct/4207b47d-711c-4af8-9c70-becb270973eb.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/occiglot_occiglot-7b-es-en-instruct/1762652580.416852",
-  "retrieved_timestamp": "1762652580.416853",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "occiglot/occiglot-7b-es-en-instruct",
-    "developer": "occiglot",
-    "inference_platform": "unknown",
-    "id": "occiglot/occiglot-7b-es-en-instruct",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3485141646387142
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4110970229781084
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.02416918429003021
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.25922818791946306
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37375
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2310505319148936
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/odyssey-labs/Astral-1-10B/4fefa5ae-d421-4883-b734-d6cc8bd8f4d6.json b/data/hfopenllm_v2/odyssey-labs/Astral-1-10B/4fefa5ae-d421-4883-b734-d6cc8bd8f4d6.json
deleted file mode 100644
index 659ed5bd7..000000000
--- a/data/hfopenllm_v2/odyssey-labs/Astral-1-10B/4fefa5ae-d421-4883-b734-d6cc8bd8f4d6.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/odyssey-labs_Astral-1-10B/1762652580.417092",
-  "retrieved_timestamp": "1762652580.417093",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "odyssey-labs/Astral-1-10B",
-    "developer": "odyssey-labs",
-    "inference_platform": "unknown",
-    "id": "odyssey-labs/Astral-1-10B",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 10.732
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.38780657544204933
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4872563924334199
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.03474320241691843
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
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new file mode 100644
index 000000000..81a00bf26
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+++ b/data/hfopenllm_v2/odyssey-labs/Astral-1-10B/b7e4ffd8-2a5a-4364-844a-a308dd7c899c.json
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/olabs-ai/reflection_model/3fa2e3ef-a375-4ca5-9f85-7cb986313d53.json b/data/hfopenllm_v2/olabs-ai/reflection_model/3fa2e3ef-a375-4ca5-9f85-7cb986313d53.json
new file mode 100644
index 000000000..619a40e89
--- /dev/null
+++ b/data/hfopenllm_v2/olabs-ai/reflection_model/3fa2e3ef-a375-4ca5-9f85-7cb986313d53.json
@@ -0,0 +1,132 @@
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+    "additional_details": {
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+      "architecture": "?",
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/olabs-ai/reflection_model/84b63639-3343-4568-9fa7-d353ccb5b465.json b/data/hfopenllm_v2/olabs-ai/reflection_model/84b63639-3343-4568-9fa7-d353ccb5b465.json
deleted file mode 100644
index b8728bfd8..000000000
--- a/data/hfopenllm_v2/olabs-ai/reflection_model/84b63639-3343-4568-9fa7-d353ccb5b465.json
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diff --git a/data/hfopenllm_v2/ontocord/Llama_3.2_1b-autoredteam_helpfulness-train/abd48d9d-0443-40be-a23a-68922771e14f.json b/data/hfopenllm_v2/ontocord/Llama_3.2_1b-autoredteam_helpfulness-train/abd48d9d-0443-40be-a23a-68922771e14f.json
new file mode 100644
index 000000000..03e54e74a
--- /dev/null
+++ b/data/hfopenllm_v2/ontocord/Llama_3.2_1b-autoredteam_helpfulness-train/abd48d9d-0443-40be-a23a-68922771e14f.json
@@ -0,0 +1,132 @@
+{
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+    "id": "ontocord/Llama_3.2_1b-autoredteam_helpfulness-train",
+    "developer": "ontocord",
+    "inference_platform": "unknown",
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/ontocord/RedPajama-3B-v1-AutoRedteam-Harmless-only/436ff0a4-9907-4e56-a5f2-c97f1b13f81a.json b/data/hfopenllm_v2/ontocord/RedPajama-3B-v1-AutoRedteam-Harmless-only/436ff0a4-9907-4e56-a5f2-c97f1b13f81a.json
new file mode 100644
index 000000000..070fd99d6
--- /dev/null
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@@ -0,0 +1,132 @@
+{
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+  "source_metadata": {
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+    "id": "ontocord/RedPajama-3B-v1-AutoRedteam-Harmless-only",
+    "developer": "ontocord",
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+        "score": 0.2315
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3661
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.11
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/ontocord/RedPajama-3B-v1-AutoRedteam-Harmless-only/8b50fd5a-9f95-4213-98e2-ee66e1602cdf.json b/data/hfopenllm_v2/ontocord/RedPajama-3B-v1-AutoRedteam-Harmless-only/8b50fd5a-9f95-4213-98e2-ee66e1602cdf.json
deleted file mode 100644
index d394a69ea..000000000
--- a/data/hfopenllm_v2/ontocord/RedPajama-3B-v1-AutoRedteam-Harmless-only/8b50fd5a-9f95-4213-98e2-ee66e1602cdf.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/ontocord_RedPajama-3B-v1-AutoRedteam-Harmless-only/1762652580.418057",
-  "retrieved_timestamp": "1762652580.418057",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "ontocord/RedPajama-3B-v1-AutoRedteam-Harmless-only",
-    "developer": "ontocord",
-    "inference_platform": "unknown",
-    "id": "ontocord/RedPajama-3B-v1-AutoRedteam-Harmless-only",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "GPTNeoXForCausalLM",
-      "params_billions": 2.776
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.152475431854147
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3123669789182832
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.006042296072507553
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.23154362416107382
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.366125
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.10995678191489362
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/ontocord/RedPajama-3B-v1-AutoRedteam/7a654100-b206-4011-828e-fb386df27d0c.json b/data/hfopenllm_v2/ontocord/RedPajama-3B-v1-AutoRedteam/7a654100-b206-4011-828e-fb386df27d0c.json
new file mode 100644
index 000000000..20317204f
--- /dev/null
+++ b/data/hfopenllm_v2/ontocord/RedPajama-3B-v1-AutoRedteam/7a654100-b206-4011-828e-fb386df27d0c.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/ontocord_RedPajama-3B-v1-AutoRedteam/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "RedPajama-3B-v1-AutoRedteam",
+    "id": "ontocord/RedPajama-3B-v1-AutoRedteam",
+    "developer": "ontocord",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "GPTNeoXForCausalLM",
+      "params_billions": 2.776
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1343
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3026
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0091
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2424
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3661
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1108
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/ontocord/RedPajama-3B-v1-AutoRedteam/9f85efe5-9fe1-4ad3-9438-da4dbf886f9d.json b/data/hfopenllm_v2/ontocord/RedPajama-3B-v1-AutoRedteam/9f85efe5-9fe1-4ad3-9438-da4dbf886f9d.json
deleted file mode 100644
index 3235ff7d5..000000000
--- a/data/hfopenllm_v2/ontocord/RedPajama-3B-v1-AutoRedteam/9f85efe5-9fe1-4ad3-9438-da4dbf886f9d.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/ontocord_RedPajama-3B-v1-AutoRedteam/1762652580.4178078",
-  "retrieved_timestamp": "1762652580.4178078",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "ontocord/RedPajama-3B-v1-AutoRedteam",
-    "developer": "ontocord",
-    "inference_platform": "unknown",
-    "id": "ontocord/RedPajama-3B-v1-AutoRedteam",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "GPTNeoXForCausalLM",
-      "params_billions": 2.776
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.13434021729012352
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30256825198631376
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.00906344410876133
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2424496644295302
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.36606249999999996
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1107878989361702
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/ontocord/RedPajama3b_v1-autoredteam_helpfulness-train/2f0e262c-a099-41f4-89f1-8b251708a960.json b/data/hfopenllm_v2/ontocord/RedPajama3b_v1-autoredteam_helpfulness-train/2f0e262c-a099-41f4-89f1-8b251708a960.json
new file mode 100644
index 000000000..b83d49b55
--- /dev/null
+++ b/data/hfopenllm_v2/ontocord/RedPajama3b_v1-autoredteam_helpfulness-train/2f0e262c-a099-41f4-89f1-8b251708a960.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/ontocord_RedPajama3b_v1-autoredteam_helpfulness-train/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "RedPajama3b_v1-autoredteam_helpfulness-train",
+    "id": "ontocord/RedPajama3b_v1-autoredteam_helpfulness-train",
+    "developer": "ontocord",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "GPTNeoXForCausalLM",
+      "params_billions": 2.776
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2848
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3093
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0068
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2458
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.358
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1107
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/ontocord/RedPajama3b_v1-autoredteam_helpfulness-train/d070a397-6bd5-4407-b030-aecdc31eb47c.json b/data/hfopenllm_v2/ontocord/RedPajama3b_v1-autoredteam_helpfulness-train/d070a397-6bd5-4407-b030-aecdc31eb47c.json
deleted file mode 100644
index 9f1d9605d..000000000
--- a/data/hfopenllm_v2/ontocord/RedPajama3b_v1-autoredteam_helpfulness-train/d070a397-6bd5-4407-b030-aecdc31eb47c.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/ontocord_RedPajama3b_v1-autoredteam_helpfulness-train/1762652580.4182642",
-  "retrieved_timestamp": "1762652580.418265",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "ontocord/RedPajama3b_v1-autoredteam_helpfulness-train",
-    "developer": "ontocord",
-    "inference_platform": "unknown",
-    "id": "ontocord/RedPajama3b_v1-autoredteam_helpfulness-train",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "GPTNeoXForCausalLM",
-      "params_billions": 2.776
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2847666414003732
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30927408550278385
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.006797583081570997
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.24580536912751677
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.35796875
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
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diff --git a/data/hfopenllm_v2/ontocord/merged_0.2_expert_0.8-stack_2x/7bf3e9ca-7d6f-4d43-b8fe-aceb8d60c7c6.json b/data/hfopenllm_v2/ontocord/merged_0.2_expert_0.8-stack_2x/7bf3e9ca-7d6f-4d43-b8fe-aceb8d60c7c6.json
new file mode 100644
index 000000000..14485961f
--- /dev/null
+++ b/data/hfopenllm_v2/ontocord/merged_0.2_expert_0.8-stack_2x/7bf3e9ca-7d6f-4d43-b8fe-aceb8d60c7c6.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/ontocord_merged_0.2_expert_0.8-stack_2x/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "merged_0.2_expert_0.8-stack_2x",
+    "id": "ontocord/merged_0.2_expert_0.8-stack_2x",
+    "developer": "ontocord",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 6.512
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1796
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3006
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0249
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2626
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3541
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1103
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/ontocord/merged_0.2_expert_0.8-stack_2x/a0cdb8e9-7920-41eb-864d-9995c3168277.json b/data/hfopenllm_v2/ontocord/merged_0.2_expert_0.8-stack_2x/a0cdb8e9-7920-41eb-864d-9995c3168277.json
deleted file mode 100644
index 243202b7e..000000000
--- a/data/hfopenllm_v2/ontocord/merged_0.2_expert_0.8-stack_2x/a0cdb8e9-7920-41eb-864d-9995c3168277.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/ontocord_merged_0.2_expert_0.8-stack_2x/1762652580.418678",
-  "retrieved_timestamp": "1762652580.418679",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "ontocord/merged_0.2_expert_0.8-stack_2x",
-    "developer": "ontocord",
-    "inference_platform": "unknown",
-    "id": "ontocord/merged_0.2_expert_0.8-stack_2x",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 6.512
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.17960345217356613
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30061312694162695
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.024924471299093656
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2625838926174497
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3540625
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11028922872340426
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/ontocord/merged_0.2_expert_0.8/8703dbdd-12ef-457b-8cda-f570c8f5c890.json b/data/hfopenllm_v2/ontocord/merged_0.2_expert_0.8/8703dbdd-12ef-457b-8cda-f570c8f5c890.json
new file mode 100644
index 000000000..4f9707321
--- /dev/null
+++ b/data/hfopenllm_v2/ontocord/merged_0.2_expert_0.8/8703dbdd-12ef-457b-8cda-f570c8f5c890.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/ontocord_merged_0.2_expert_0.8/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "merged_0.2_expert_0.8",
+    "id": "ontocord/merged_0.2_expert_0.8",
+    "developer": "ontocord",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 3.759
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1743
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3046
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0264
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2617
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3621
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1111
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/ontocord/merged_0.2_expert_0.8/c373de55-1c2e-4cd5-a0e9-ec462f80010f.json b/data/hfopenllm_v2/ontocord/merged_0.2_expert_0.8/c373de55-1c2e-4cd5-a0e9-ec462f80010f.json
deleted file mode 100644
index a9d92aae0..000000000
--- a/data/hfopenllm_v2/ontocord/merged_0.2_expert_0.8/c373de55-1c2e-4cd5-a0e9-ec462f80010f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/ontocord_merged_0.2_expert_0.8/1762652580.418474",
-  "retrieved_timestamp": "1762652580.418475",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "ontocord/merged_0.2_expert_0.8",
-    "developer": "ontocord",
-    "inference_platform": "unknown",
-    "id": "ontocord/merged_0.2_expert_0.8",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 3.759
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.17425763640473943
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3046000784127159
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.026435045317220542
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.26174496644295303
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.36206249999999995
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11112034574468085
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/ontocord/merged_0.5_expert_0.5/d3dccfbc-ccc3-4d7c-abe3-4669c8efca3b.json b/data/hfopenllm_v2/ontocord/merged_0.5_expert_0.5/d3dccfbc-ccc3-4d7c-abe3-4669c8efca3b.json
deleted file mode 100644
index deae9eb59..000000000
--- a/data/hfopenllm_v2/ontocord/merged_0.5_expert_0.5/d3dccfbc-ccc3-4d7c-abe3-4669c8efca3b.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/ontocord_merged_0.5_expert_0.5/1762652580.418875",
-  "retrieved_timestamp": "1762652580.418876",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "ontocord/merged_0.5_expert_0.5",
-    "developer": "ontocord",
-    "inference_platform": "unknown",
-    "id": "ontocord/merged_0.5_expert_0.5",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 3.759
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1787291054402319
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3017011118802398
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
-        "score": 0.26426174496644295
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-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.35424999999999995
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1107878989361702
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-  ]
-}
diff --git a/data/hfopenllm_v2/ontocord/merged_0.5_expert_0.5/d77f3e8f-1eea-478e-babd-ba873d2d427c.json b/data/hfopenllm_v2/ontocord/merged_0.5_expert_0.5/d77f3e8f-1eea-478e-babd-ba873d2d427c.json
new file mode 100644
index 000000000..3c97d6dc5
--- /dev/null
+++ b/data/hfopenllm_v2/ontocord/merged_0.5_expert_0.5/d77f3e8f-1eea-478e-babd-ba873d2d427c.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/ontocord_merged_0.5_expert_0.5/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "merged_0.5_expert_0.5",
+    "id": "ontocord/merged_0.5_expert_0.5",
+    "developer": "ontocord",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 3.759
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1787
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3017
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0196
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2643
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3542
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1108
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/ontocord/ontocord_wide_3b-stage1_shuf_sample1_jsonl-pretrained-autoredteam_helpful-0.25_helpful/783a4385-c802-4bb3-9a21-90629d16efc7.json b/data/hfopenllm_v2/ontocord/ontocord_wide_3b-stage1_shuf_sample1_jsonl-pretrained-autoredteam_helpful-0.25_helpful/783a4385-c802-4bb3-9a21-90629d16efc7.json
new file mode 100644
index 000000000..b166ddfd7
--- /dev/null
+++ b/data/hfopenllm_v2/ontocord/ontocord_wide_3b-stage1_shuf_sample1_jsonl-pretrained-autoredteam_helpful-0.25_helpful/783a4385-c802-4bb3-9a21-90629d16efc7.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/ontocord_ontocord_wide_3b-stage1_shuf_sample1_jsonl-pretrained-autoredteam_helpful-0.25_helpful/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "ontocord_wide_3b-stage1_shuf_sample1_jsonl-pretrained-autoredteam_helpful-0.25_helpful",
+    "id": "ontocord/ontocord_wide_3b-stage1_shuf_sample1_jsonl-pretrained-autoredteam_helpful-0.25_helpful",
+    "developer": "ontocord",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 3.759
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1318
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3004
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0106
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2676
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3631
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1142
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/ontocord/ontocord_wide_3b-stage1_shuf_sample1_jsonl-pretrained-autoredteam_helpful-0.25_helpful/93164a9c-187c-45eb-94e0-12910b6ebd9d.json b/data/hfopenllm_v2/ontocord/ontocord_wide_3b-stage1_shuf_sample1_jsonl-pretrained-autoredteam_helpful-0.25_helpful/93164a9c-187c-45eb-94e0-12910b6ebd9d.json
deleted file mode 100644
index 74812a254..000000000
--- a/data/hfopenllm_v2/ontocord/ontocord_wide_3b-stage1_shuf_sample1_jsonl-pretrained-autoredteam_helpful-0.25_helpful/93164a9c-187c-45eb-94e0-12910b6ebd9d.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/ontocord_ontocord_wide_3b-stage1_shuf_sample1_jsonl-pretrained-autoredteam_helpful-0.25_helpful/1762652580.419096",
-  "retrieved_timestamp": "1762652580.419096",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "ontocord/ontocord_wide_3b-stage1_shuf_sample1_jsonl-pretrained-autoredteam_helpful-0.25_helpful",
-    "developer": "ontocord",
-    "inference_platform": "unknown",
-    "id": "ontocord/ontocord_wide_3b-stage1_shuf_sample1_jsonl-pretrained-autoredteam_helpful-0.25_helpful",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 3.759
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.13184240038652995
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3004467893724157
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.010574018126888218
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2676174496644295
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.36311458333333335
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11419547872340426
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/ontocord/ontocord_wide_7b-stacked-stage1-instruct/92e8e4af-bdfd-4fb3-8b25-b7b88470c56c.json b/data/hfopenllm_v2/ontocord/ontocord_wide_7b-stacked-stage1-instruct/92e8e4af-bdfd-4fb3-8b25-b7b88470c56c.json
deleted file mode 100644
index 7f8db2550..000000000
--- a/data/hfopenllm_v2/ontocord/ontocord_wide_7b-stacked-stage1-instruct/92e8e4af-bdfd-4fb3-8b25-b7b88470c56c.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/ontocord_ontocord_wide_7b-stacked-stage1-instruct/1762652580.4195461",
-  "retrieved_timestamp": "1762652580.4195468",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "ontocord/ontocord_wide_7b-stacked-stage1-instruct",
-    "developer": "ontocord",
-    "inference_platform": "unknown",
-    "id": "ontocord/ontocord_wide_7b-stacked-stage1-instruct",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.888
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.15302508455342934
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2853913447506418
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.006797583081570997
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.24664429530201343
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.35378125
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11170212765957446
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/ontocord/ontocord_wide_7b-stacked-stage1-instruct/bb4ff51e-ce3a-42f5-871e-3e5e8977bc42.json b/data/hfopenllm_v2/ontocord/ontocord_wide_7b-stacked-stage1-instruct/bb4ff51e-ce3a-42f5-871e-3e5e8977bc42.json
new file mode 100644
index 000000000..3d829740d
--- /dev/null
+++ b/data/hfopenllm_v2/ontocord/ontocord_wide_7b-stacked-stage1-instruct/bb4ff51e-ce3a-42f5-871e-3e5e8977bc42.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/ontocord_ontocord_wide_7b-stacked-stage1-instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "ontocord_wide_7b-stacked-stage1-instruct",
+    "id": "ontocord/ontocord_wide_7b-stacked-stage1-instruct",
+    "developer": "ontocord",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.888
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.153
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2854
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0068
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2466
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3538
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1117
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/ontocord/ontocord_wide_7b-stacked-stage1/8098c6f4-c2a4-44d9-92b5-72dfccd83395.json b/data/hfopenllm_v2/ontocord/ontocord_wide_7b-stacked-stage1/8098c6f4-c2a4-44d9-92b5-72dfccd83395.json
deleted file mode 100644
index 1f4473e9e..000000000
--- a/data/hfopenllm_v2/ontocord/ontocord_wide_7b-stacked-stage1/8098c6f4-c2a4-44d9-92b5-72dfccd83395.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/ontocord_ontocord_wide_7b-stacked-stage1/1762652580.41932",
-  "retrieved_timestamp": "1762652580.419321",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "ontocord/ontocord_wide_7b-stacked-stage1",
-    "developer": "ontocord",
-    "inference_platform": "unknown",
-    "id": "ontocord/ontocord_wide_7b-stacked-stage1",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.888
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.14845388014911545
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.28965200351622594
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.00906344410876133
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2533557046979866
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3603541666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11053856382978723
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/ontocord/ontocord_wide_7b-stacked-stage1/e80d25b5-3f4b-45a7-9472-09f98db03bf0.json b/data/hfopenllm_v2/ontocord/ontocord_wide_7b-stacked-stage1/e80d25b5-3f4b-45a7-9472-09f98db03bf0.json
new file mode 100644
index 000000000..0a16462de
--- /dev/null
+++ b/data/hfopenllm_v2/ontocord/ontocord_wide_7b-stacked-stage1/e80d25b5-3f4b-45a7-9472-09f98db03bf0.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/ontocord_ontocord_wide_7b-stacked-stage1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "ontocord_wide_7b-stacked-stage1",
+    "id": "ontocord/ontocord_wide_7b-stacked-stage1",
+    "developer": "ontocord",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.888
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1485
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2897
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0091
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2534
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3604
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1105
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/ontocord/starcoder2-29b-ls/68285cd4-9573-4fa7-af6f-321c7b4c8171.json b/data/hfopenllm_v2/ontocord/starcoder2-29b-ls/68285cd4-9573-4fa7-af6f-321c7b4c8171.json
deleted file mode 100644
index 1c96a4531..000000000
--- a/data/hfopenllm_v2/ontocord/starcoder2-29b-ls/68285cd4-9573-4fa7-af6f-321c7b4c8171.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/ontocord_starcoder2-29b-ls/1762652580.419764",
-  "retrieved_timestamp": "1762652580.419765",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "ontocord/starcoder2-29b-ls",
-    "developer": "ontocord",
-    "inference_platform": "unknown",
-    "id": "ontocord/starcoder2-29b-ls",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Starcoder2ForCausalLM",
-      "params_billions": 29.009
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.21492417895628046
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37349755200329665
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.0188821752265861
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.27348993288590606
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.36999999999999994
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1869182180851064
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/ontocord/starcoder2-29b-ls/7fed0b1d-0d79-4784-8fd6-42f8611b1751.json b/data/hfopenllm_v2/ontocord/starcoder2-29b-ls/7fed0b1d-0d79-4784-8fd6-42f8611b1751.json
new file mode 100644
index 000000000..3cb91cf0f
--- /dev/null
+++ b/data/hfopenllm_v2/ontocord/starcoder2-29b-ls/7fed0b1d-0d79-4784-8fd6-42f8611b1751.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/ontocord_starcoder2-29b-ls/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "starcoder2-29b-ls",
+    "id": "ontocord/starcoder2-29b-ls",
+    "developer": "ontocord",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Starcoder2ForCausalLM",
+      "params_billions": 29.009
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2149
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3735
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0189
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2735
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.37
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1869
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/ontocord/starcoder2_3b-AutoRedteam/9ae53763-119d-40af-bdf2-97dd34eaf9e3.json b/data/hfopenllm_v2/ontocord/starcoder2_3b-AutoRedteam/9ae53763-119d-40af-bdf2-97dd34eaf9e3.json
deleted file mode 100644
index b556455de..000000000
--- a/data/hfopenllm_v2/ontocord/starcoder2_3b-AutoRedteam/9ae53763-119d-40af-bdf2-97dd34eaf9e3.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/ontocord_starcoder2_3b-AutoRedteam/1762652580.419971",
-  "retrieved_timestamp": "1762652580.4199722",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "ontocord/starcoder2_3b-AutoRedteam",
-    "developer": "ontocord",
-    "inference_platform": "unknown",
-    "id": "ontocord/starcoder2_3b-AutoRedteam",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Starcoder2ForCausalLM",
-      "params_billions": 3.181
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.15737133029251277
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3497644619743598
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.010574018126888218
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2516778523489933
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3645729166666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.13364361702127658
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/ontocord/starcoder2_3b-AutoRedteam/be534cd3-8245-4370-ba6c-9687b431ee8d.json b/data/hfopenllm_v2/ontocord/starcoder2_3b-AutoRedteam/be534cd3-8245-4370-ba6c-9687b431ee8d.json
new file mode 100644
index 000000000..ad59c53df
--- /dev/null
+++ b/data/hfopenllm_v2/ontocord/starcoder2_3b-AutoRedteam/be534cd3-8245-4370-ba6c-9687b431ee8d.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/ontocord_starcoder2_3b-AutoRedteam/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "starcoder2_3b-AutoRedteam",
+    "id": "ontocord/starcoder2_3b-AutoRedteam",
+    "developer": "ontocord",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Starcoder2ForCausalLM",
+      "params_billions": 3.181
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1574
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3498
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0106
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2517
+      }
+    },
+    {
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+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+      "score_details": {
+        "score": 0.3646
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+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "max_score": 1.0
+      },
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+        "score": 0.1336
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/ontocord/wide_3b-merge_test/db2c4148-d7be-4f13-a449-095b78bda7c2.json b/data/hfopenllm_v2/ontocord/wide_3b-merge_test/db2c4148-d7be-4f13-a449-095b78bda7c2.json
deleted file mode 100644
index 86d91e97c..000000000
--- a/data/hfopenllm_v2/ontocord/wide_3b-merge_test/db2c4148-d7be-4f13-a449-095b78bda7c2.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/ontocord_wide_3b-merge_test/1762652580.420181",
-  "retrieved_timestamp": "1762652580.420182",
-  "source_data": [
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "ontocord/wide_3b-merge_test",
-    "developer": "ontocord",
-    "inference_platform": "unknown",
-    "id": "ontocord/wide_3b-merge_test",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 3.759
-    }
-  },
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-    {
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-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.342
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/ontocord/wide_3b-merge_test/e98967b7-3aff-4baa-92eb-eff86bf09797.json b/data/hfopenllm_v2/ontocord/wide_3b-merge_test/e98967b7-3aff-4baa-92eb-eff86bf09797.json
new file mode 100644
index 000000000..e0c7c037c
--- /dev/null
+++ b/data/hfopenllm_v2/ontocord/wide_3b-merge_test/e98967b7-3aff-4baa-92eb-eff86bf09797.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/ontocord_wide_3b-merge_test/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "wide_3b-merge_test",
+    "id": "ontocord/wide_3b-merge_test",
+    "developer": "ontocord",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 3.759
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1763
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3011
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2399
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.342
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1066
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/ontocord/wide_3b-stage1_shuf_sample1_jsonl-pretrained/8736a22a-f980-4a01-953d-217f27050129.json b/data/hfopenllm_v2/ontocord/wide_3b-stage1_shuf_sample1_jsonl-pretrained/8736a22a-f980-4a01-953d-217f27050129.json
new file mode 100644
index 000000000..abe0c08b1
--- /dev/null
+++ b/data/hfopenllm_v2/ontocord/wide_3b-stage1_shuf_sample1_jsonl-pretrained/8736a22a-f980-4a01-953d-217f27050129.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/ontocord_wide_3b-stage1_shuf_sample1_jsonl-pretrained/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "wide_3b-stage1_shuf_sample1_jsonl-pretrained",
+    "id": "ontocord/wide_3b-stage1_shuf_sample1_jsonl-pretrained",
+    "developer": "ontocord",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 3.759
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1395
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3004
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0166
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2659
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3632
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.114
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/ontocord/wide_3b-stage1_shuf_sample1_jsonl-pretrained/91ac4c22-3f2a-48fd-aad8-5c26a5f07ea6.json b/data/hfopenllm_v2/ontocord/wide_3b-stage1_shuf_sample1_jsonl-pretrained/91ac4c22-3f2a-48fd-aad8-5c26a5f07ea6.json
deleted file mode 100644
index 7eadd46b3..000000000
--- a/data/hfopenllm_v2/ontocord/wide_3b-stage1_shuf_sample1_jsonl-pretrained/91ac4c22-3f2a-48fd-aad8-5c26a5f07ea6.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/ontocord_wide_3b-stage1_shuf_sample1_jsonl-pretrained/1762652580.420386",
-  "retrieved_timestamp": "1762652580.420386",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
-    "name": "ontocord/wide_3b-stage1_shuf_sample1_jsonl-pretrained",
-    "developer": "ontocord",
-    "inference_platform": "unknown",
-    "id": "ontocord/wide_3b-stage1_shuf_sample1_jsonl-pretrained",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 3.759
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-  "evaluation_results": [
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-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    {
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-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
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-      "evaluation_name": "MATH Level 5",
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-        "max_score": 1
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-    {
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-        "evaluation_description": "Accuracy on MUSR",
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11402925531914894
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/ontocord/wide_3b_sft_stag1.2-lyrical_law_news_software_howto_formattedtext_math_wiki-merge/75a2b5c9-7c73-4bb4-8e99-af4a3a27589d.json b/data/hfopenllm_v2/ontocord/wide_3b_sft_stag1.2-lyrical_law_news_software_howto_formattedtext_math_wiki-merge/75a2b5c9-7c73-4bb4-8e99-af4a3a27589d.json
new file mode 100644
index 000000000..129aad1c1
--- /dev/null
+++ b/data/hfopenllm_v2/ontocord/wide_3b_sft_stag1.2-lyrical_law_news_software_howto_formattedtext_math_wiki-merge/75a2b5c9-7c73-4bb4-8e99-af4a3a27589d.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/ontocord_wide_3b_sft_stag1.2-lyrical_law_news_software_howto_formattedtext_math_wiki-merge/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "wide_3b_sft_stag1.2-lyrical_law_news_software_howto_formattedtext_math_wiki-merge",
+    "id": "ontocord/wide_3b_sft_stag1.2-lyrical_law_news_software_howto_formattedtext_math_wiki-merge",
+    "developer": "ontocord",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 3.759
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+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1664
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+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3031
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0113
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2601
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3845
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1111
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/ontocord/wide_3b_sft_stag1.2-lyrical_law_news_software_howto_formattedtext_math_wiki-merge/c5a9d4e0-a43b-4249-abbb-f544bdb2d806.json b/data/hfopenllm_v2/ontocord/wide_3b_sft_stag1.2-lyrical_law_news_software_howto_formattedtext_math_wiki-merge/c5a9d4e0-a43b-4249-abbb-f544bdb2d806.json
deleted file mode 100644
index 0ecbfb78d..000000000
--- a/data/hfopenllm_v2/ontocord/wide_3b_sft_stag1.2-lyrical_law_news_software_howto_formattedtext_math_wiki-merge/c5a9d4e0-a43b-4249-abbb-f544bdb2d806.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/ontocord_wide_3b_sft_stag1.2-lyrical_law_news_software_howto_formattedtext_math_wiki-merge/1762652580.420605",
-  "retrieved_timestamp": "1762652580.420605",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
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-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "ontocord/wide_3b_sft_stag1.2-lyrical_law_news_software_howto_formattedtext_math_wiki-merge",
-    "developer": "ontocord",
-    "inference_platform": "unknown",
-    "id": "ontocord/wide_3b_sft_stag1.2-lyrical_law_news_software_howto_formattedtext_math_wiki-merge",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 3.759
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.011329305135951661
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
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-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2600671140939597
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3845416666666666
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/ontocord/wide_3b_sft_stag1.2-lyrical_news_software_howto_formattedtext-merge/0e0ebdc7-a5bd-4314-9bd7-fc8a11541a4e.json b/data/hfopenllm_v2/ontocord/wide_3b_sft_stag1.2-lyrical_news_software_howto_formattedtext-merge/0e0ebdc7-a5bd-4314-9bd7-fc8a11541a4e.json
new file mode 100644
index 000000000..2b49af2c2
--- /dev/null
+++ b/data/hfopenllm_v2/ontocord/wide_3b_sft_stag1.2-lyrical_news_software_howto_formattedtext-merge/0e0ebdc7-a5bd-4314-9bd7-fc8a11541a4e.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/ontocord_wide_3b_sft_stag1.2-lyrical_news_software_howto_formattedtext-merge/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "wide_3b_sft_stag1.2-lyrical_news_software_howto_formattedtext-merge",
+    "id": "ontocord/wide_3b_sft_stag1.2-lyrical_news_software_howto_formattedtext-merge",
+    "developer": "ontocord",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 3.759
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1697
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2975
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0136
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2601
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3778
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1125
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/ontocord/wide_3b_sft_stag1.2-lyrical_news_software_howto_formattedtext-merge/5b9a91bc-bdca-468e-b8eb-b0e97fd97148.json b/data/hfopenllm_v2/ontocord/wide_3b_sft_stag1.2-lyrical_news_software_howto_formattedtext-merge/5b9a91bc-bdca-468e-b8eb-b0e97fd97148.json
deleted file mode 100644
index bd2d68905..000000000
--- a/data/hfopenllm_v2/ontocord/wide_3b_sft_stag1.2-lyrical_news_software_howto_formattedtext-merge/5b9a91bc-bdca-468e-b8eb-b0e97fd97148.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/ontocord_wide_3b_sft_stag1.2-lyrical_news_software_howto_formattedtext-merge/1762652580.420933",
-  "retrieved_timestamp": "1762652580.420937",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "ontocord/wide_3b_sft_stag1.2-lyrical_news_software_howto_formattedtext-merge",
-    "developer": "ontocord",
-    "inference_platform": "unknown",
-    "id": "ontocord/wide_3b_sft_stag1.2-lyrical_news_software_howto_formattedtext-merge",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 3.759
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
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-        "max_score": 1
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-      "score_details": {
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2600671140939597
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37781249999999994
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1124501329787234
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-    }
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-}
diff --git a/data/hfopenllm_v2/ontocord/wide_3b_sft_stage1.1-ss1-no_redteam_skg_poem.no_issue/aeda694a-795c-4a42-8b40-d406b7223627.json b/data/hfopenllm_v2/ontocord/wide_3b_sft_stage1.1-ss1-no_redteam_skg_poem.no_issue/aeda694a-795c-4a42-8b40-d406b7223627.json
deleted file mode 100644
index 1c596fb7d..000000000
--- a/data/hfopenllm_v2/ontocord/wide_3b_sft_stage1.1-ss1-no_redteam_skg_poem.no_issue/aeda694a-795c-4a42-8b40-d406b7223627.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/ontocord_wide_3b_sft_stage1.1-ss1-no_redteam_skg_poem.no_issue/1762652580.4213939",
-  "retrieved_timestamp": "1762652580.4213948",
-  "source_data": [
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "ontocord/wide_3b_sft_stage1.1-ss1-no_redteam_skg_poem.no_issue",
-    "developer": "ontocord",
-    "inference_platform": "unknown",
-    "id": "ontocord/wide_3b_sft_stage1.1-ss1-no_redteam_skg_poem.no_issue",
-    "additional_details": {
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-      "architecture": "Qwen2ForCausalLM",
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-  "evaluation_results": [
-    {
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-      "metric_config": {
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-    },
-    {
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-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1107878989361702
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diff --git a/data/hfopenllm_v2/ontocord/wide_3b_sft_stage1.1-ss1-no_redteam_skg_poem.no_issue/f8579305-003b-4727-b904-bad4f363a616.json b/data/hfopenllm_v2/ontocord/wide_3b_sft_stage1.1-ss1-no_redteam_skg_poem.no_issue/f8579305-003b-4727-b904-bad4f363a616.json
new file mode 100644
index 000000000..b29b83734
--- /dev/null
+++ b/data/hfopenllm_v2/ontocord/wide_3b_sft_stage1.1-ss1-no_redteam_skg_poem.no_issue/f8579305-003b-4727-b904-bad4f363a616.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/ontocord_wide_3b_sft_stage1.1-ss1-no_redteam_skg_poem.no_issue/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "wide_3b_sft_stage1.1-ss1-no_redteam_skg_poem.no_issue",
+    "id": "ontocord/wide_3b_sft_stage1.1-ss1-no_redteam_skg_poem.no_issue",
+    "developer": "ontocord",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 3.759
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.148
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3095
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0204
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2701
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3579
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1108
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/ontocord/wide_3b_sft_stage1.1-ss1-with_generics_intr.no_issue/3103f36a-4a88-4a39-8261-0b597f8d6db4.json b/data/hfopenllm_v2/ontocord/wide_3b_sft_stage1.1-ss1-with_generics_intr.no_issue/3103f36a-4a88-4a39-8261-0b597f8d6db4.json
new file mode 100644
index 000000000..e2c5d63f0
--- /dev/null
+++ b/data/hfopenllm_v2/ontocord/wide_3b_sft_stage1.1-ss1-with_generics_intr.no_issue/3103f36a-4a88-4a39-8261-0b597f8d6db4.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/ontocord_wide_3b_sft_stage1.1-ss1-with_generics_intr.no_issue/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "wide_3b_sft_stage1.1-ss1-with_generics_intr.no_issue",
+    "id": "ontocord/wide_3b_sft_stage1.1-ss1-with_generics_intr.no_issue",
+    "developer": "ontocord",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 3.759
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1237
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.306
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0106
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2743
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3673
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1111
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/ontocord/wide_3b_sft_stage1.1-ss1-with_generics_intr.no_issue/3e26804b-13fa-4115-a000-d6be3339e7b1.json b/data/hfopenllm_v2/ontocord/wide_3b_sft_stage1.1-ss1-with_generics_intr.no_issue/3e26804b-13fa-4115-a000-d6be3339e7b1.json
deleted file mode 100644
index 5d9cd41c9..000000000
--- a/data/hfopenllm_v2/ontocord/wide_3b_sft_stage1.1-ss1-with_generics_intr.no_issue/3e26804b-13fa-4115-a000-d6be3339e7b1.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/ontocord_wide_3b_sft_stage1.1-ss1-with_generics_intr.no_issue/1762652580.4216871",
-  "retrieved_timestamp": "1762652580.421689",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "ontocord/wide_3b_sft_stage1.1-ss1-with_generics_intr.no_issue",
-    "developer": "ontocord",
-    "inference_platform": "unknown",
-    "id": "ontocord/wide_3b_sft_stage1.1-ss1-with_generics_intr.no_issue",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 3.759
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.12367407368005781
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3060091508023586
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.010574018126888218
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.27432885906040266
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3672708333333334
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11112034574468085
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/ontocord/wide_3b_sft_stage1.1-ss1-with_generics_intr_math.no_issue/d1f24979-eced-4dca-a5a1-4e4bfee28779.json b/data/hfopenllm_v2/ontocord/wide_3b_sft_stage1.1-ss1-with_generics_intr_math.no_issue/d1f24979-eced-4dca-a5a1-4e4bfee28779.json
deleted file mode 100644
index 9649f586b..000000000
--- a/data/hfopenllm_v2/ontocord/wide_3b_sft_stage1.1-ss1-with_generics_intr_math.no_issue/d1f24979-eced-4dca-a5a1-4e4bfee28779.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/ontocord_wide_3b_sft_stage1.1-ss1-with_generics_intr_math.no_issue/1762652580.42205",
-  "retrieved_timestamp": "1762652580.422051",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "ontocord/wide_3b_sft_stage1.1-ss1-with_generics_intr_math.no_issue",
-    "developer": "ontocord",
-    "inference_platform": "unknown",
-    "id": "ontocord/wide_3b_sft_stage1.1-ss1-with_generics_intr_math.no_issue",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 3.759
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1191527369601546
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2955590587949957
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.006797583081570997
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.26426174496644295
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.35530208333333335
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11826795212765957
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/ontocord/wide_3b_sft_stage1.1-ss1-with_generics_intr_math.no_issue/eda9de3b-ae53-4102-b203-eddadbc50464.json b/data/hfopenllm_v2/ontocord/wide_3b_sft_stage1.1-ss1-with_generics_intr_math.no_issue/eda9de3b-ae53-4102-b203-eddadbc50464.json
new file mode 100644
index 000000000..d30f5ad9b
--- /dev/null
+++ b/data/hfopenllm_v2/ontocord/wide_3b_sft_stage1.1-ss1-with_generics_intr_math.no_issue/eda9de3b-ae53-4102-b203-eddadbc50464.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/ontocord_wide_3b_sft_stage1.1-ss1-with_generics_intr_math.no_issue/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "wide_3b_sft_stage1.1-ss1-with_generics_intr_math.no_issue",
+    "id": "ontocord/wide_3b_sft_stage1.1-ss1-with_generics_intr_math.no_issue",
+    "developer": "ontocord",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 3.759
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1192
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2956
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0068
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2643
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3553
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1183
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/ontocord/wide_3b_sft_stage1.1-ss1-with_generics_intr_math_stories.no_issue/171ae287-000a-491e-9ecb-ac7d29217e9e.json b/data/hfopenllm_v2/ontocord/wide_3b_sft_stage1.1-ss1-with_generics_intr_math_stories.no_issue/171ae287-000a-491e-9ecb-ac7d29217e9e.json
deleted file mode 100644
index 635f88256..000000000
--- a/data/hfopenllm_v2/ontocord/wide_3b_sft_stage1.1-ss1-with_generics_intr_math_stories.no_issue/171ae287-000a-491e-9ecb-ac7d29217e9e.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/ontocord_wide_3b_sft_stage1.1-ss1-with_generics_intr_math_stories.no_issue/1762652580.42265",
-  "retrieved_timestamp": "1762652580.4226508",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "ontocord/wide_3b_sft_stage1.1-ss1-with_generics_intr_math_stories.no_issue",
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deleted file mode 100644
index 5958d3c60..000000000
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diff --git a/data/hfopenllm_v2/ontocord/wide_3b_sft_stage1.1-ss1-with_generics_intr_math_stories.no_issue/b7de4fa8-d97d-400f-bc3f-ecb1963a03ed.json b/data/hfopenllm_v2/ontocord/wide_3b_sft_stage1.1-ss1-with_generics_intr_math_stories.no_issue/b7de4fa8-d97d-400f-bc3f-ecb1963a03ed.json
new file mode 100644
index 000000000..9fef62a26
--- /dev/null
+++ b/data/hfopenllm_v2/ontocord/wide_3b_sft_stage1.1-ss1-with_generics_intr_math_stories.no_issue/b7de4fa8-d97d-400f-bc3f-ecb1963a03ed.json
@@ -0,0 +1,132 @@
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+  "source_metadata": {
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+    "source_type": "documentation",
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+    "evaluator_relationship": "third_party"
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+  "model_info": {
+    "name": "wide_3b_sft_stage1.1-ss1-with_generics_intr_math_stories.no_issue",
+    "id": "ontocord/wide_3b_sft_stage1.1-ss1-with_generics_intr_math_stories.no_issue",
+    "developer": "ontocord",
+    "inference_platform": "unknown",
+    "additional_details": {
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+        "hf_repo": "Idavidrein/gpqa"
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/ontocord/wide_3b_sft_stage1.1-ss1-with_generics_intr_math_stories.no_issue/fa6ecaf9-457e-4135-ad25-4790ebc27737.json b/data/hfopenllm_v2/ontocord/wide_3b_sft_stage1.1-ss1-with_generics_intr_math_stories.no_issue/fa6ecaf9-457e-4135-ad25-4790ebc27737.json
new file mode 100644
index 000000000..053d679ba
--- /dev/null
+++ b/data/hfopenllm_v2/ontocord/wide_3b_sft_stage1.1-ss1-with_generics_intr_math_stories.no_issue/fa6ecaf9-457e-4135-ad25-4790ebc27737.json
@@ -0,0 +1,132 @@
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+  "source_metadata": {
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+    "source_type": "documentation",
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+    "id": "ontocord/wide_3b_sft_stage1.1-ss1-with_generics_intr_math_stories.no_issue",
+    "developer": "ontocord",
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+    },
+    {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
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+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
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+        "lower_is_better": false,
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+      },
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
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+        "max_score": 1.0
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+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/ontocord/wide_3b_sft_stage1.1-ss1-with_generics_intr_math_stories_no_orig_instr.no_issue/ebaa99c4-ff66-421d-8ba7-dae2c5fa274c.json b/data/hfopenllm_v2/ontocord/wide_3b_sft_stage1.1-ss1-with_generics_intr_math_stories_no_orig_instr.no_issue/ebaa99c4-ff66-421d-8ba7-dae2c5fa274c.json
new file mode 100644
index 000000000..4832c4eb6
--- /dev/null
+++ b/data/hfopenllm_v2/ontocord/wide_3b_sft_stage1.1-ss1-with_generics_intr_math_stories_no_orig_instr.no_issue/ebaa99c4-ff66-421d-8ba7-dae2c5fa274c.json
@@ -0,0 +1,132 @@
+{
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+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "wide_3b_sft_stage1.1-ss1-with_generics_intr_math_stories_no_orig_instr.no_issue",
+    "id": "ontocord/wide_3b_sft_stage1.1-ss1-with_generics_intr_math_stories_no_orig_instr.no_issue",
+    "developer": "ontocord",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 3.759
+    }
+  },
+  "evaluation_results": [
+    {
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+        "score_type": "continuous",
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
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+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
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+    {
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+        "hf_repo": "Idavidrein/gpqa"
+      },
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+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+      }
+    },
+    {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
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+        "lower_is_better": false,
+        "score_type": "continuous",
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+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/ontocord/wide_3b_sft_stage1.1-ss1-with_generics_intr_math_stories_no_orig_instr.no_issue/f14d0513-676d-45e3-97c4-bf386f61b856.json b/data/hfopenllm_v2/ontocord/wide_3b_sft_stage1.1-ss1-with_generics_intr_math_stories_no_orig_instr.no_issue/f14d0513-676d-45e3-97c4-bf386f61b856.json
deleted file mode 100644
index 09d81183e..000000000
--- a/data/hfopenllm_v2/ontocord/wide_3b_sft_stage1.1-ss1-with_generics_intr_math_stories_no_orig_instr.no_issue/f14d0513-676d-45e3-97c4-bf386f61b856.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/ontocord_wide_3b_sft_stage1.1-ss1-with_generics_intr_math_stories_no_orig_instr.no_issue/1762652580.422879",
-  "retrieved_timestamp": "1762652580.42288",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "ontocord/wide_3b_sft_stage1.1-ss1-with_generics_intr_math_stories_no_orig_instr.no_issue",
-    "developer": "ontocord",
-    "inference_platform": "unknown",
-    "id": "ontocord/wide_3b_sft_stage1.1-ss1-with_generics_intr_math_stories_no_orig_instr.no_issue",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 3.759
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.13169279733329786
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30640062669813056
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.00906344410876133
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2651006711409396
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.34460416666666666
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11444481382978723
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/ontocord/wide_3b_sft_stage1.1-ss1-with_generics_intr_stories.no_issue/4d673b5a-3237-433f-9e08-f614fe10edc4.json b/data/hfopenllm_v2/ontocord/wide_3b_sft_stage1.1-ss1-with_generics_intr_stories.no_issue/4d673b5a-3237-433f-9e08-f614fe10edc4.json
deleted file mode 100644
index 8e92b7176..000000000
--- a/data/hfopenllm_v2/ontocord/wide_3b_sft_stage1.1-ss1-with_generics_intr_stories.no_issue/4d673b5a-3237-433f-9e08-f614fe10edc4.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/ontocord_wide_3b_sft_stage1.1-ss1-with_generics_intr_stories.no_issue/1762652580.4231439",
-  "retrieved_timestamp": "1762652580.423145",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "ontocord/wide_3b_sft_stage1.1-ss1-with_generics_intr_stories.no_issue",
-    "developer": "ontocord",
-    "inference_platform": "unknown",
-    "id": "ontocord/wide_3b_sft_stage1.1-ss1-with_generics_intr_stories.no_issue",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 3.759
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.118178654857999
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3037498354512724
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.008308157099697885
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.26593959731543626
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.35669791666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11619015957446809
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/ontocord/wide_3b_sft_stage1.1-ss1-with_generics_intr_stories.no_issue/e388c707-8b35-49a4-94eb-f32e983fe33e.json b/data/hfopenllm_v2/ontocord/wide_3b_sft_stage1.1-ss1-with_generics_intr_stories.no_issue/e388c707-8b35-49a4-94eb-f32e983fe33e.json
new file mode 100644
index 000000000..b73dce637
--- /dev/null
+++ b/data/hfopenllm_v2/ontocord/wide_3b_sft_stage1.1-ss1-with_generics_intr_stories.no_issue/e388c707-8b35-49a4-94eb-f32e983fe33e.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/ontocord_wide_3b_sft_stage1.1-ss1-with_generics_intr_stories.no_issue/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "wide_3b_sft_stage1.1-ss1-with_generics_intr_stories.no_issue",
+    "id": "ontocord/wide_3b_sft_stage1.1-ss1-with_generics_intr_stories.no_issue",
+    "developer": "ontocord",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 3.759
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1182
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3037
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0083
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2659
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3567
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1162
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/ontocord/wide_3b_sft_stage1.1-ss1-with_generics_math.no_issue/e19c2b24-4deb-45b4-a0a9-2d055bc90446.json b/data/hfopenllm_v2/ontocord/wide_3b_sft_stage1.1-ss1-with_generics_math.no_issue/e19c2b24-4deb-45b4-a0a9-2d055bc90446.json
deleted file mode 100644
index 12ea7e1f2..000000000
--- a/data/hfopenllm_v2/ontocord/wide_3b_sft_stage1.1-ss1-with_generics_math.no_issue/e19c2b24-4deb-45b4-a0a9-2d055bc90446.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/ontocord_wide_3b_sft_stage1.1-ss1-with_generics_math.no_issue/1762652580.423407",
-  "retrieved_timestamp": "1762652580.423407",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "ontocord/wide_3b_sft_stage1.1-ss1-with_generics_math.no_issue",
-    "developer": "ontocord",
-    "inference_platform": "unknown",
-    "id": "ontocord/wide_3b_sft_stage1.1-ss1-with_generics_math.no_issue",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 3.759
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.12399876771410967
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30324371251012056
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.0075528700906344415
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.25838926174496646
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.34869791666666666
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11278257978723404
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/ontocord/wide_3b_sft_stage1.1-ss1-with_generics_math.no_issue/f6273192-31cf-4ee1-af45-c2f62de05330.json b/data/hfopenllm_v2/ontocord/wide_3b_sft_stage1.1-ss1-with_generics_math.no_issue/f6273192-31cf-4ee1-af45-c2f62de05330.json
new file mode 100644
index 000000000..f93ee1cb2
--- /dev/null
+++ b/data/hfopenllm_v2/ontocord/wide_3b_sft_stage1.1-ss1-with_generics_math.no_issue/f6273192-31cf-4ee1-af45-c2f62de05330.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/ontocord_wide_3b_sft_stage1.1-ss1-with_generics_math.no_issue/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "wide_3b_sft_stage1.1-ss1-with_generics_math.no_issue",
+    "id": "ontocord/wide_3b_sft_stage1.1-ss1-with_generics_math.no_issue",
+    "developer": "ontocord",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 3.759
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.124
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3032
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0076
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2584
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3487
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1128
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/ontocord/wide_3b_sft_stage1.1-ss1-with_math.no_issue/105650e6-d9cf-4106-9d55-6f3c08f2f1cf.json b/data/hfopenllm_v2/ontocord/wide_3b_sft_stage1.1-ss1-with_math.no_issue/105650e6-d9cf-4106-9d55-6f3c08f2f1cf.json
new file mode 100644
index 000000000..635e7e0ec
--- /dev/null
+++ b/data/hfopenllm_v2/ontocord/wide_3b_sft_stage1.1-ss1-with_math.no_issue/105650e6-d9cf-4106-9d55-6f3c08f2f1cf.json
@@ -0,0 +1,132 @@
+{
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+  "evaluation_id": "hfopenllm_v2/ontocord_wide_3b_sft_stage1.1-ss1-with_math.no_issue/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "wide_3b_sft_stage1.1-ss1-with_math.no_issue",
+    "id": "ontocord/wide_3b_sft_stage1.1-ss1-with_math.no_issue",
+    "developer": "ontocord",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 3.759
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1298
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3052
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0159
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2601
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3928
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1147
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/ontocord/wide_3b_sft_stage1.1-ss1-with_math.no_issue/449f6b1a-5264-4c7b-82d6-60e61841b7d6.json b/data/hfopenllm_v2/ontocord/wide_3b_sft_stage1.1-ss1-with_math.no_issue/449f6b1a-5264-4c7b-82d6-60e61841b7d6.json
deleted file mode 100644
index 1d91d4711..000000000
--- a/data/hfopenllm_v2/ontocord/wide_3b_sft_stage1.1-ss1-with_math.no_issue/449f6b1a-5264-4c7b-82d6-60e61841b7d6.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/ontocord_wide_3b_sft_stage1.1-ss1-with_math.no_issue/1762652580.423659",
-  "retrieved_timestamp": "1762652580.42366",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "ontocord/wide_3b_sft_stage1.1-ss1-with_math.no_issue",
-    "developer": "ontocord",
-    "inference_platform": "unknown",
-    "id": "ontocord/wide_3b_sft_stage1.1-ss1-with_math.no_issue",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 3.759
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30518984588252307
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-    {
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-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
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-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/ontocord/wide_3b_sft_stage1.1-ss1-with_r1_generics_intr_math_stories.no_issue/2e22170f-839d-482d-bc8a-ed345aa900af.json b/data/hfopenllm_v2/ontocord/wide_3b_sft_stage1.1-ss1-with_r1_generics_intr_math_stories.no_issue/2e22170f-839d-482d-bc8a-ed345aa900af.json
deleted file mode 100644
index 2b0bc53bd..000000000
--- a/data/hfopenllm_v2/ontocord/wide_3b_sft_stage1.1-ss1-with_r1_generics_intr_math_stories.no_issue/2e22170f-839d-482d-bc8a-ed345aa900af.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/ontocord_wide_3b_sft_stage1.1-ss1-with_r1_generics_intr_math_stories.no_issue/1762652580.4239051",
-  "retrieved_timestamp": "1762652580.4239051",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "ontocord/wide_3b_sft_stage1.1-ss1-with_r1_generics_intr_math_stories.no_issue",
-    "developer": "ontocord",
-    "inference_platform": "unknown",
-    "id": "ontocord/wide_3b_sft_stage1.1-ss1-with_r1_generics_intr_math_stories.no_issue",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 3.759
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-      }
-    },
-    {
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-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
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-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-    },
-    {
-      "evaluation_name": "GPQA",
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-}
diff --git a/data/hfopenllm_v2/ontocord/wide_3b_sft_stage1.1-ss1-with_r1_generics_intr_math_stories.no_issue/a1d23749-40c0-4ccb-a104-bf0de63bc2bd.json b/data/hfopenllm_v2/ontocord/wide_3b_sft_stage1.1-ss1-with_r1_generics_intr_math_stories.no_issue/a1d23749-40c0-4ccb-a104-bf0de63bc2bd.json
new file mode 100644
index 000000000..22c12a778
--- /dev/null
+++ b/data/hfopenllm_v2/ontocord/wide_3b_sft_stage1.1-ss1-with_r1_generics_intr_math_stories.no_issue/a1d23749-40c0-4ccb-a104-bf0de63bc2bd.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/ontocord_wide_3b_sft_stage1.1-ss1-with_r1_generics_intr_math_stories.no_issue/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "wide_3b_sft_stage1.1-ss1-with_r1_generics_intr_math_stories.no_issue",
+    "id": "ontocord/wide_3b_sft_stage1.1-ss1-with_r1_generics_intr_math_stories.no_issue",
+    "developer": "ontocord",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 3.759
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2049
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2912
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2601
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3575
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1167
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/ontocord/wide_3b_sft_stage1.2-ss1-expert_fictional_lyrical/4e4b4cf9-48d5-4ff6-92c0-1e9d7b874b6b.json b/data/hfopenllm_v2/ontocord/wide_3b_sft_stage1.2-ss1-expert_fictional_lyrical/4e4b4cf9-48d5-4ff6-92c0-1e9d7b874b6b.json
new file mode 100644
index 000000000..b7dea3b9d
--- /dev/null
+++ b/data/hfopenllm_v2/ontocord/wide_3b_sft_stage1.2-ss1-expert_fictional_lyrical/4e4b4cf9-48d5-4ff6-92c0-1e9d7b874b6b.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/ontocord_wide_3b_sft_stage1.2-ss1-expert_fictional_lyrical/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "wide_3b_sft_stage1.2-ss1-expert_fictional_lyrical",
+    "id": "ontocord/wide_3b_sft_stage1.2-ss1-expert_fictional_lyrical",
+    "developer": "ontocord",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 3.759
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1461
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+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2998
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+        "score": 0.0136
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+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2643
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3926
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+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1141
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/ontocord/wide_3b_sft_stage1.2-ss1-expert_fictional_lyrical/75f9224b-df09-4693-8b04-c00e17785250.json b/data/hfopenllm_v2/ontocord/wide_3b_sft_stage1.2-ss1-expert_fictional_lyrical/75f9224b-df09-4693-8b04-c00e17785250.json
deleted file mode 100644
index 970bf2117..000000000
--- a/data/hfopenllm_v2/ontocord/wide_3b_sft_stage1.2-ss1-expert_fictional_lyrical/75f9224b-df09-4693-8b04-c00e17785250.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/ontocord_wide_3b_sft_stage1.2-ss1-expert_fictional_lyrical/1762652580.42415",
-  "retrieved_timestamp": "1762652580.424151",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "ontocord/wide_3b_sft_stage1.2-ss1-expert_fictional_lyrical",
-    "developer": "ontocord",
-    "inference_platform": "unknown",
-    "id": "ontocord/wide_3b_sft_stage1.2-ss1-expert_fictional_lyrical",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 3.759
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.146105666298754
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.29981162881428614
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.013595166163141994
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.26426174496644295
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.39257291666666666
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1141123670212766
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/ontocord/wide_3b_sft_stage1.2-ss1-expert_formatted_text/3c4713a3-3973-4a04-9c4a-a6782251734e.json b/data/hfopenllm_v2/ontocord/wide_3b_sft_stage1.2-ss1-expert_formatted_text/3c4713a3-3973-4a04-9c4a-a6782251734e.json
new file mode 100644
index 000000000..7106f073b
--- /dev/null
+++ b/data/hfopenllm_v2/ontocord/wide_3b_sft_stage1.2-ss1-expert_formatted_text/3c4713a3-3973-4a04-9c4a-a6782251734e.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/ontocord_wide_3b_sft_stage1.2-ss1-expert_formatted_text/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "wide_3b_sft_stage1.2-ss1-expert_formatted_text",
+    "id": "ontocord/wide_3b_sft_stage1.2-ss1-expert_formatted_text",
+    "developer": "ontocord",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 3.759
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1487
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3069
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0121
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2617
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3474
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1146
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/ontocord/wide_3b_sft_stage1.2-ss1-expert_formatted_text/4bd52ced-e009-4805-8d0a-ce37b25f103c.json b/data/hfopenllm_v2/ontocord/wide_3b_sft_stage1.2-ss1-expert_formatted_text/4bd52ced-e009-4805-8d0a-ce37b25f103c.json
deleted file mode 100644
index f1dbba082..000000000
--- a/data/hfopenllm_v2/ontocord/wide_3b_sft_stage1.2-ss1-expert_formatted_text/4bd52ced-e009-4805-8d0a-ce37b25f103c.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/ontocord_wide_3b_sft_stage1.2-ss1-expert_formatted_text/1762652580.424435",
-  "retrieved_timestamp": "1762652580.424437",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "ontocord/wide_3b_sft_stage1.2-ss1-expert_formatted_text",
-    "developer": "ontocord",
-    "inference_platform": "unknown",
-    "id": "ontocord/wide_3b_sft_stage1.2-ss1-expert_formatted_text",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 3.759
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.14872870649875664
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3068950688059236
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.012084592145015106
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.26174496644295303
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.34739583333333335
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11461103723404255
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/ontocord/wide_3b_sft_stage1.2-ss1-expert_how-to/14e2e5a7-d43c-4a02-9af6-6c378778d7fc.json b/data/hfopenllm_v2/ontocord/wide_3b_sft_stage1.2-ss1-expert_how-to/14e2e5a7-d43c-4a02-9af6-6c378778d7fc.json
deleted file mode 100644
index 1cc6b3b99..000000000
--- a/data/hfopenllm_v2/ontocord/wide_3b_sft_stage1.2-ss1-expert_how-to/14e2e5a7-d43c-4a02-9af6-6c378778d7fc.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/ontocord_wide_3b_sft_stage1.2-ss1-expert_how-to/1762652580.424736",
-  "retrieved_timestamp": "1762652580.424736",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "ontocord/wide_3b_sft_stage1.2-ss1-expert_how-to",
-    "developer": "ontocord",
-    "inference_platform": "unknown",
-    "id": "ontocord/wide_3b_sft_stage1.2-ss1-expert_how-to",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 3.759
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.12454842041339201
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3047398483929371
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.014350453172205438
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.25922818791946306
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.36581250000000004
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11527593085106383
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/ontocord/wide_3b_sft_stage1.2-ss1-expert_how-to/de70c700-a007-4e87-a3db-941ee285eb1f.json b/data/hfopenllm_v2/ontocord/wide_3b_sft_stage1.2-ss1-expert_how-to/de70c700-a007-4e87-a3db-941ee285eb1f.json
new file mode 100644
index 000000000..0860e6dcd
--- /dev/null
+++ b/data/hfopenllm_v2/ontocord/wide_3b_sft_stage1.2-ss1-expert_how-to/de70c700-a007-4e87-a3db-941ee285eb1f.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/ontocord_wide_3b_sft_stage1.2-ss1-expert_how-to/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "wide_3b_sft_stage1.2-ss1-expert_how-to",
+    "id": "ontocord/wide_3b_sft_stage1.2-ss1-expert_how-to",
+    "developer": "ontocord",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 3.759
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1245
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3047
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0144
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2592
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3658
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1153
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/ontocord/wide_3b_sft_stage1.2-ss1-expert_math/a1324a7f-1911-4fa9-8d83-be891f752a61.json b/data/hfopenllm_v2/ontocord/wide_3b_sft_stage1.2-ss1-expert_math/a1324a7f-1911-4fa9-8d83-be891f752a61.json
new file mode 100644
index 000000000..ffb80060b
--- /dev/null
+++ b/data/hfopenllm_v2/ontocord/wide_3b_sft_stage1.2-ss1-expert_math/a1324a7f-1911-4fa9-8d83-be891f752a61.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/ontocord_wide_3b_sft_stage1.2-ss1-expert_math/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "wide_3b_sft_stage1.2-ss1-expert_math",
+    "id": "ontocord/wide_3b_sft_stage1.2-ss1-expert_math",
+    "developer": "ontocord",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 3.759
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1915
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.306
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0279
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2592
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.37
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1092
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/ontocord/wide_3b_sft_stage1.2-ss1-expert_math/d2d7e55e-87a3-4390-a1e4-47a2d0c62bd2.json b/data/hfopenllm_v2/ontocord/wide_3b_sft_stage1.2-ss1-expert_math/d2d7e55e-87a3-4390-a1e4-47a2d0c62bd2.json
deleted file mode 100644
index 0eca7b54e..000000000
--- a/data/hfopenllm_v2/ontocord/wide_3b_sft_stage1.2-ss1-expert_math/d2d7e55e-87a3-4390-a1e4-47a2d0c62bd2.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/ontocord_wide_3b_sft_stage1.2-ss1-expert_math/1762652580.42496",
-  "retrieved_timestamp": "1762652580.424961",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "ontocord/wide_3b_sft_stage1.2-ss1-expert_math",
-    "developer": "ontocord",
-    "inference_platform": "unknown",
-    "id": "ontocord/wide_3b_sft_stage1.2-ss1-expert_math",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 3.759
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.19151850423542865
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3059577262726771
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.027945619335347432
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.25922818791946306
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37003125
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.10920877659574468
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/ontocord/wide_3b_sft_stage1.2-ss1-expert_news/9c4af0df-f538-4755-8cd0-eec6b2b26524.json b/data/hfopenllm_v2/ontocord/wide_3b_sft_stage1.2-ss1-expert_news/9c4af0df-f538-4755-8cd0-eec6b2b26524.json
new file mode 100644
index 000000000..1ef6d19ad
--- /dev/null
+++ b/data/hfopenllm_v2/ontocord/wide_3b_sft_stage1.2-ss1-expert_news/9c4af0df-f538-4755-8cd0-eec6b2b26524.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/ontocord_wide_3b_sft_stage1.2-ss1-expert_news/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "wide_3b_sft_stage1.2-ss1-expert_news",
+    "id": "ontocord/wide_3b_sft_stage1.2-ss1-expert_news",
+    "developer": "ontocord",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 3.759
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1658
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2926
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0166
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2676
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3621
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1111
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/ontocord/wide_3b_sft_stage1.2-ss1-expert_news/a13cf03f-cf1a-49a8-ba6c-d6e3b27036fa.json b/data/hfopenllm_v2/ontocord/wide_3b_sft_stage1.2-ss1-expert_news/a13cf03f-cf1a-49a8-ba6c-d6e3b27036fa.json
deleted file mode 100644
index 3a1310370..000000000
--- a/data/hfopenllm_v2/ontocord/wide_3b_sft_stage1.2-ss1-expert_news/a13cf03f-cf1a-49a8-ba6c-d6e3b27036fa.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/ontocord_wide_3b_sft_stage1.2-ss1-expert_news/1762652580.425178",
-  "retrieved_timestamp": "1762652580.4251788",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "ontocord/wide_3b_sft_stage1.2-ss1-expert_news",
-    "developer": "ontocord",
-    "inference_platform": "unknown",
-    "id": "ontocord/wide_3b_sft_stage1.2-ss1-expert_news",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 3.759
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.16581448334862608
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2925879483112595
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.01661631419939577
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2676174496644295
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.36209375000000005
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11112034574468085
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/ontocord/wide_3b_sft_stage1.2-ss1-expert_software/dab94fc0-5bea-4875-a802-8ef793bc7fc7.json b/data/hfopenllm_v2/ontocord/wide_3b_sft_stage1.2-ss1-expert_software/dab94fc0-5bea-4875-a802-8ef793bc7fc7.json
deleted file mode 100644
index 3507969e3..000000000
--- a/data/hfopenllm_v2/ontocord/wide_3b_sft_stage1.2-ss1-expert_software/dab94fc0-5bea-4875-a802-8ef793bc7fc7.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/ontocord_wide_3b_sft_stage1.2-ss1-expert_software/1762652580.425399",
-  "retrieved_timestamp": "1762652580.4254",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "ontocord/wide_3b_sft_stage1.2-ss1-expert_software",
-    "developer": "ontocord",
-    "inference_platform": "unknown",
-    "id": "ontocord/wide_3b_sft_stage1.2-ss1-expert_software",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 3.759
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1733832896714052
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
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-        "score_type": "continuous",
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-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
-        "score": 0.25838926174496646
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.35685416666666664
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11402925531914894
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-  ]
-}
diff --git a/data/hfopenllm_v2/ontocord/wide_3b_sft_stage1.2-ss1-expert_software/fde650a6-a5d1-4edc-bd64-8be806663263.json b/data/hfopenllm_v2/ontocord/wide_3b_sft_stage1.2-ss1-expert_software/fde650a6-a5d1-4edc-bd64-8be806663263.json
new file mode 100644
index 000000000..511c00854
--- /dev/null
+++ b/data/hfopenllm_v2/ontocord/wide_3b_sft_stage1.2-ss1-expert_software/fde650a6-a5d1-4edc-bd64-8be806663263.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
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+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
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+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/ontocord/wide_6.6b_sft_stag1.2-lyrical_law_news_software_howto_formattedtext_math_wiki-merge-stacked/96dd1a08-b166-4d8e-ac31-5e948adf931b.json b/data/hfopenllm_v2/ontocord/wide_6.6b_sft_stag1.2-lyrical_law_news_software_howto_formattedtext_math_wiki-merge-stacked/96dd1a08-b166-4d8e-ac31-5e948adf931b.json
new file mode 100644
index 000000000..a1a9a9d89
--- /dev/null
+++ b/data/hfopenllm_v2/ontocord/wide_6.6b_sft_stag1.2-lyrical_law_news_software_howto_formattedtext_math_wiki-merge-stacked/96dd1a08-b166-4d8e-ac31-5e948adf931b.json
@@ -0,0 +1,132 @@
+{
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+  "evaluation_id": "hfopenllm_v2/ontocord_wide_6.6b_sft_stag1.2-lyrical_law_news_software_howto_formattedtext_math_wiki-merge-stacked/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
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+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "wide_6.6b_sft_stag1.2-lyrical_law_news_software_howto_formattedtext_math_wiki-merge-stacked",
+    "id": "ontocord/wide_6.6b_sft_stag1.2-lyrical_law_news_software_howto_formattedtext_math_wiki-merge-stacked",
+    "developer": "ontocord",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.888
+    }
+  },
+  "evaluation_results": [
+    {
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+      },
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+      },
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+        "hf_repo": "TAUR-Lab/MuSR"
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+        "min_score": 0.0,
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+      },
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+      },
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/ontocord/wide_6.6b_sft_stag1.2-lyrical_law_news_software_howto_formattedtext_math_wiki-merge-stacked/e16d5502-1721-424f-a149-9a6233a2183a.json b/data/hfopenllm_v2/ontocord/wide_6.6b_sft_stag1.2-lyrical_law_news_software_howto_formattedtext_math_wiki-merge-stacked/e16d5502-1721-424f-a149-9a6233a2183a.json
deleted file mode 100644
index 55bedeb26..000000000
--- a/data/hfopenllm_v2/ontocord/wide_6.6b_sft_stag1.2-lyrical_law_news_software_howto_formattedtext_math_wiki-merge-stacked/e16d5502-1721-424f-a149-9a6233a2183a.json
+++ /dev/null
@@ -1,105 +0,0 @@
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-    "developer": "ontocord",
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diff --git a/data/hfopenllm_v2/oobabooga/CodeBooga-34B-v0.1/3086045f-e22d-4aca-9459-fc64454a2fb2.json b/data/hfopenllm_v2/oobabooga/CodeBooga-34B-v0.1/3086045f-e22d-4aca-9459-fc64454a2fb2.json
deleted file mode 100644
index cfb3e508b..000000000
--- a/data/hfopenllm_v2/oobabooga/CodeBooga-34B-v0.1/3086045f-e22d-4aca-9459-fc64454a2fb2.json
+++ /dev/null
@@ -1,105 +0,0 @@
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-  "model_info": {
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-    "developer": "oobabooga",
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-    "id": "oobabooga/CodeBooga-34B-v0.1",
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-}
diff --git a/data/hfopenllm_v2/oobabooga/CodeBooga-34B-v0.1/3b90b9db-a68e-4ee9-bd4d-a18cec357753.json b/data/hfopenllm_v2/oobabooga/CodeBooga-34B-v0.1/3b90b9db-a68e-4ee9-bd4d-a18cec357753.json
new file mode 100644
index 000000000..e386ca80a
--- /dev/null
+++ b/data/hfopenllm_v2/oobabooga/CodeBooga-34B-v0.1/3b90b9db-a68e-4ee9-bd4d-a18cec357753.json
@@ -0,0 +1,132 @@
+{
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+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
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+  "model_info": {
+    "name": "CodeBooga-34B-v0.1",
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+    "developer": "oobabooga",
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+      "params_billions": 33.744
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+  },
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+        "max_score": 1.0
+      },
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+        "score": 0.525
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
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+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
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+        "evaluation_description": "Accuracy on GPQA",
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+        "score_type": "continuous",
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+        "max_score": 1.0
+      },
+      "score_details": {
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+    },
+    {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
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+        "evaluation_description": "Accuracy on MUSR",
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+        "score_type": "continuous",
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+        "max_score": 1.0
+      },
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+    },
+    {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
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+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.236
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+    }
+  ]
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/oopere/Llama-FinSent-S/444a6ace-77d4-4d93-b80b-ff5c7e2f6888.json b/data/hfopenllm_v2/oopere/Llama-FinSent-S/444a6ace-77d4-4d93-b80b-ff5c7e2f6888.json
new file mode 100644
index 000000000..466bcc8a4
--- /dev/null
+++ b/data/hfopenllm_v2/oopere/Llama-FinSent-S/444a6ace-77d4-4d93-b80b-ff5c7e2f6888.json
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diff --git a/data/hfopenllm_v2/oopere/Llama-FinSent-S/7e11a778-fccf-4a91-81cf-c06f1a5c77c4.json b/data/hfopenllm_v2/oopere/Llama-FinSent-S/7e11a778-fccf-4a91-81cf-c06f1a5c77c4.json
new file mode 100644
index 000000000..d92a91932
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+++ b/data/hfopenllm_v2/oopere/Llama-FinSent-S/7e11a778-fccf-4a91-81cf-c06f1a5c77c4.json
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/oopere/pruned10-llama-3.2-3B/e5d126d7-e0bf-43dc-95c0-184ea1d586ea.json b/data/hfopenllm_v2/oopere/pruned10-llama-3.2-3B/e5d126d7-e0bf-43dc-95c0-184ea1d586ea.json
new file mode 100644
index 000000000..afabeb373
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+++ b/data/hfopenllm_v2/oopere/pruned10-llama-3.2-3B/e5d126d7-e0bf-43dc-95c0-184ea1d586ea.json
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/oopere/pruned20-llama-1b/d05b129c-6b9e-4e6b-80fc-af65db620c5d.json b/data/hfopenllm_v2/oopere/pruned20-llama-1b/d05b129c-6b9e-4e6b-80fc-af65db620c5d.json
new file mode 100644
index 000000000..d15232953
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+++ b/data/hfopenllm_v2/oopere/pruned20-llama-1b/d05b129c-6b9e-4e6b-80fc-af65db620c5d.json
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/oopere/pruned20-llama-3.2-3b/d9792fac-29c1-45b2-b649-cdebb6830e2f.json b/data/hfopenllm_v2/oopere/pruned20-llama-3.2-3b/d9792fac-29c1-45b2-b649-cdebb6830e2f.json
new file mode 100644
index 000000000..bc86d9513
--- /dev/null
+++ b/data/hfopenllm_v2/oopere/pruned20-llama-3.2-3b/d9792fac-29c1-45b2-b649-cdebb6830e2f.json
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/oopere/pruned40-llama-1b/fcc2f06a-e6c8-4c28-bf22-4ee582392912.json b/data/hfopenllm_v2/oopere/pruned40-llama-1b/fcc2f06a-e6c8-4c28-bf22-4ee582392912.json
new file mode 100644
index 000000000..2afb1508c
--- /dev/null
+++ b/data/hfopenllm_v2/oopere/pruned40-llama-1b/fcc2f06a-e6c8-4c28-bf22-4ee582392912.json
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/oopere/pruned40-llama-3.2-1B/c6e13327-90b3-440d-9367-dbcec54dd6cc.json b/data/hfopenllm_v2/oopere/pruned40-llama-3.2-1B/c6e13327-90b3-440d-9367-dbcec54dd6cc.json
new file mode 100644
index 000000000..ee1ba1f96
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+++ b/data/hfopenllm_v2/oopere/pruned40-llama-3.2-1B/c6e13327-90b3-440d-9367-dbcec54dd6cc.json
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/oopere/pruned40-llama-3.2-3b/30b02429-350c-4d86-aded-ba8597bec4d5.json b/data/hfopenllm_v2/oopere/pruned40-llama-3.2-3b/30b02429-350c-4d86-aded-ba8597bec4d5.json
new file mode 100644
index 000000000..343aa660b
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+++ b/data/hfopenllm_v2/oopere/pruned40-llama-3.2-3b/30b02429-350c-4d86-aded-ba8597bec4d5.json
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/oopere/pruned60-llama-1b/7d1ee802-106e-4313-ba1d-72d5a0676c88.json b/data/hfopenllm_v2/oopere/pruned60-llama-1b/7d1ee802-106e-4313-ba1d-72d5a0676c88.json
new file mode 100644
index 000000000..116617b5f
--- /dev/null
+++ b/data/hfopenllm_v2/oopere/pruned60-llama-1b/7d1ee802-106e-4313-ba1d-72d5a0676c88.json
@@ -0,0 +1,132 @@
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/oopere/pruned60-llama-3.2-3b/1b3af020-f65e-44b8-a9a2-ad60fa686427.json b/data/hfopenllm_v2/oopere/pruned60-llama-3.2-3b/1b3af020-f65e-44b8-a9a2-ad60fa686427.json
new file mode 100644
index 000000000..321e3d3d4
--- /dev/null
+++ b/data/hfopenllm_v2/oopere/pruned60-llama-3.2-3b/1b3af020-f65e-44b8-a9a2-ad60fa686427.json
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+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0038
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2701
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3633
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1131
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/open-atlas/Atlas-Flash-1.5B-Preview/6e40871d-bc23-4f1c-a005-f5b8eb096f84.json b/data/hfopenllm_v2/open-atlas/Atlas-Flash-1.5B-Preview/6e40871d-bc23-4f1c-a005-f5b8eb096f84.json
new file mode 100644
index 000000000..2ba09d639
--- /dev/null
+++ b/data/hfopenllm_v2/open-atlas/Atlas-Flash-1.5B-Preview/6e40871d-bc23-4f1c-a005-f5b8eb096f84.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/open-atlas_Atlas-Flash-1.5B-Preview/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Atlas-Flash-1.5B-Preview",
+    "id": "open-atlas/Atlas-Flash-1.5B-Preview",
+    "developer": "open-atlas",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 1.777
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.327
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3215
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2213
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2525
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3488
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1374
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/open-atlas/Atlas-Flash-1.5B-Preview/96ae17c1-69ef-46c6-bb15-c1b576ba8131.json b/data/hfopenllm_v2/open-atlas/Atlas-Flash-1.5B-Preview/96ae17c1-69ef-46c6-bb15-c1b576ba8131.json
deleted file mode 100644
index fe77c0f03..000000000
--- a/data/hfopenllm_v2/open-atlas/Atlas-Flash-1.5B-Preview/96ae17c1-69ef-46c6-bb15-c1b576ba8131.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/open-atlas_Atlas-Flash-1.5B-Preview/1762652580.4281778",
-  "retrieved_timestamp": "1762652580.4281778",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "open-atlas/Atlas-Flash-1.5B-Preview",
-    "developer": "open-atlas",
-    "inference_platform": "unknown",
-    "id": "open-atlas/Atlas-Flash-1.5B-Preview",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 1.777
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3269569187533522
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3215460102660847
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2212990936555891
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2525167785234899
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.34879166666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.13738364361702127
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/open-atlas/Atlas-Flash-7B-Preview/1ab33ed2-ea3b-4c6f-a2ac-2465ddd844f4.json b/data/hfopenllm_v2/open-atlas/Atlas-Flash-7B-Preview/1ab33ed2-ea3b-4c6f-a2ac-2465ddd844f4.json
new file mode 100644
index 000000000..5c4b96098
--- /dev/null
+++ b/data/hfopenllm_v2/open-atlas/Atlas-Flash-7B-Preview/1ab33ed2-ea3b-4c6f-a2ac-2465ddd844f4.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/open-atlas_Atlas-Flash-7B-Preview/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Atlas-Flash-7B-Preview",
+    "id": "open-atlas/Atlas-Flash-7B-Preview",
+    "developer": "open-atlas",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3908
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3542
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2576
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2886
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3836
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2784
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/open-atlas/Atlas-Flash-7B-Preview/6fd7bb75-6648-4bfe-a232-f9efe4b7c45e.json b/data/hfopenllm_v2/open-atlas/Atlas-Flash-7B-Preview/6fd7bb75-6648-4bfe-a232-f9efe4b7c45e.json
deleted file mode 100644
index 2af9ff559..000000000
--- a/data/hfopenllm_v2/open-atlas/Atlas-Flash-7B-Preview/6fd7bb75-6648-4bfe-a232-f9efe4b7c45e.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/open-atlas_Atlas-Flash-7B-Preview/1762652580.428412",
-  "retrieved_timestamp": "1762652580.428413",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "open-atlas/Atlas-Flash-7B-Preview",
-    "developer": "open-atlas",
-    "inference_platform": "unknown",
-    "id": "open-atlas/Atlas-Flash-7B-Preview",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.616
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3907543096761038
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3541994356643969
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.25755287009063443
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.28859060402684567
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.38358333333333333
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.27842420212765956
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-  ]
-}
diff --git a/data/hfopenllm_v2/open-neo/Kyro-n1-3B/0a8b6c55-da69-4f4d-98cc-9d3f5b82d9e2.json b/data/hfopenllm_v2/open-neo/Kyro-n1-3B/0a8b6c55-da69-4f4d-98cc-9d3f5b82d9e2.json
deleted file mode 100644
index c1bb12288..000000000
--- a/data/hfopenllm_v2/open-neo/Kyro-n1-3B/0a8b6c55-da69-4f4d-98cc-9d3f5b82d9e2.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/open-neo_Kyro-n1-3B/1762652580.428618",
-  "retrieved_timestamp": "1762652580.428618",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "open-neo/Kyro-n1-3B",
-    "developer": "open-neo",
-    "inference_platform": "unknown",
-    "id": "open-neo/Kyro-n1-3B",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 3.086
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-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.45949746672163194
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
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-        "score_type": "continuous",
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-    },
-    {
-      "evaluation_name": "GPQA",
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-        "evaluation_description": "Accuracy on GPQA",
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-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.40879166666666666
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-        "score": 0.34225398936170215
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/open-neo/Kyro-n1-3B/ec601f5d-bf19-4407-ac41-6b9272d94735.json b/data/hfopenllm_v2/open-neo/Kyro-n1-3B/ec601f5d-bf19-4407-ac41-6b9272d94735.json
new file mode 100644
index 000000000..eab4e7f5e
--- /dev/null
+++ b/data/hfopenllm_v2/open-neo/Kyro-n1-3B/ec601f5d-bf19-4407-ac41-6b9272d94735.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/open-neo_Kyro-n1-3B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Kyro-n1-3B",
+    "id": "open-neo/Kyro-n1-3B",
+    "developer": "open-neo",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 3.086
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4595
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4685
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2855
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2819
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4088
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3423
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/open-neo/Kyro-n1-7B/87e53761-e8b7-4032-ae7a-c3a91704d115.json b/data/hfopenllm_v2/open-neo/Kyro-n1-7B/87e53761-e8b7-4032-ae7a-c3a91704d115.json
new file mode 100644
index 000000000..7c4002489
--- /dev/null
+++ b/data/hfopenllm_v2/open-neo/Kyro-n1-7B/87e53761-e8b7-4032-ae7a-c3a91704d115.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/open-neo_Kyro-n1-7B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Kyro-n1-7B",
+    "id": "open-neo/Kyro-n1-7B",
+    "developer": "open-neo",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5573
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5387
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3897
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2609
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3884
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4333
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/open-neo/Kyro-n1-7B/f69621cf-6e46-4805-b8f2-d7a7cba3a0e4.json b/data/hfopenllm_v2/open-neo/Kyro-n1-7B/f69621cf-6e46-4805-b8f2-d7a7cba3a0e4.json
deleted file mode 100644
index 6015254cb..000000000
--- a/data/hfopenllm_v2/open-neo/Kyro-n1-7B/f69621cf-6e46-4805-b8f2-d7a7cba3a0e4.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/open-neo_Kyro-n1-7B/1762652580.42885",
-  "retrieved_timestamp": "1762652580.42885",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "open-neo/Kyro-n1-7B",
-    "developer": "open-neo",
-    "inference_platform": "unknown",
-    "id": "open-neo/Kyro-n1-7B",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.616
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5572669406064796
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5386561160683788
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.38972809667673713
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2609060402684564
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.38841666666666663
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.433344414893617
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/open-thoughts/OpenThinker-7B/59492d86-4b85-4865-84e9-84ab4ace630c.json b/data/hfopenllm_v2/open-thoughts/OpenThinker-7B/59492d86-4b85-4865-84e9-84ab4ace630c.json
new file mode 100644
index 000000000..b02b2a84c
--- /dev/null
+++ b/data/hfopenllm_v2/open-thoughts/OpenThinker-7B/59492d86-4b85-4865-84e9-84ab4ace630c.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/open-thoughts_OpenThinker-7B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "OpenThinker-7B",
+    "id": "open-thoughts/OpenThinker-7B",
+    "developer": "open-thoughts",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4089
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5343
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.426
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2567
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.382
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4165
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/open-thoughts/OpenThinker-7B/feb0d715-d1bc-4b0e-8585-a0646c07244b.json b/data/hfopenllm_v2/open-thoughts/OpenThinker-7B/feb0d715-d1bc-4b0e-8585-a0646c07244b.json
deleted file mode 100644
index 6ed1b1110..000000000
--- a/data/hfopenllm_v2/open-thoughts/OpenThinker-7B/feb0d715-d1bc-4b0e-8585-a0646c07244b.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/open-thoughts_OpenThinker-7B/1762652580.4290519",
-  "retrieved_timestamp": "1762652580.4290528",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "open-thoughts/OpenThinker-7B",
-    "developer": "open-thoughts",
-    "inference_platform": "unknown",
-    "id": "open-thoughts/OpenThinker-7B",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.616
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4088895242401273
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5342727589615611
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4259818731117825
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.25671140939597314
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.38199999999999995
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41647273936170215
-      }
-    }
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new file mode 100644
index 000000000..f23bbd9c9
--- /dev/null
+++ b/data/hfopenllm_v2/openai-community/gpt2-large/cc082df2-259c-44c1-abe4-ef349056a2a9.json
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diff --git a/data/hfopenllm_v2/openai-community/gpt2-medium/3f069053-b24e-4242-9302-d46b82e511aa.json b/data/hfopenllm_v2/openai-community/gpt2-medium/3f069053-b24e-4242-9302-d46b82e511aa.json
new file mode 100644
index 000000000..3800ef51a
--- /dev/null
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diff --git a/data/hfopenllm_v2/openai-community/gpt2-xl/62cd9bcb-a74c-40b9-be84-a0077235ae3c.json b/data/hfopenllm_v2/openai-community/gpt2-xl/62cd9bcb-a74c-40b9-be84-a0077235ae3c.json
new file mode 100644
index 000000000..4094508d3
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diff --git a/data/hfopenllm_v2/openai-community/gpt2/b4cd25f1-87d5-4173-a4d3-928444f6cb37.json b/data/hfopenllm_v2/openai-community/gpt2/b4cd25f1-87d5-4173-a4d3-928444f6cb37.json
new file mode 100644
index 000000000..172402db8
--- /dev/null
+++ b/data/hfopenllm_v2/openai-community/gpt2/b4cd25f1-87d5-4173-a4d3-928444f6cb37.json
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/openai-community/gpt2/ddd4716e-d8ae-46a1-8fb4-c27e2da40e6e.json b/data/hfopenllm_v2/openai-community/gpt2/ddd4716e-d8ae-46a1-8fb4-c27e2da40e6e.json
new file mode 100644
index 000000000..040f869b3
--- /dev/null
+++ b/data/hfopenllm_v2/openai-community/gpt2/ddd4716e-d8ae-46a1-8fb4-c27e2da40e6e.json
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+        "hf_repo": "TIGER-Lab/MMLU-Pro"
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/openai/AI-Sweden-Models/gpt-sw3-40b/e791a3d6-928e-43c9-96ee-156901e8b18b.json b/data/hfopenllm_v2/openai/AI-Sweden-Models/gpt-sw3-40b/e791a3d6-928e-43c9-96ee-156901e8b18b.json
deleted file mode 100644
index 5a9db74a0..000000000
--- a/data/hfopenllm_v2/openai/AI-Sweden-Models/gpt-sw3-40b/e791a3d6-928e-43c9-96ee-156901e8b18b.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/openai/DeepAutoAI/causal_gpt2/bf683545-a6df-4deb-9a91-ea6b8eae8be7.json b/data/hfopenllm_v2/openai/DeepAutoAI/causal_gpt2/bf683545-a6df-4deb-9a91-ea6b8eae8be7.json
deleted file mode 100644
index 0174bba92..000000000
--- a/data/hfopenllm_v2/openai/DeepAutoAI/causal_gpt2/bf683545-a6df-4deb-9a91-ea6b8eae8be7.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/openai/DeepAutoAI/d2nwg_causal_gpt2/6b5b21c7-9284-4117-a63c-65628604e1a5.json b/data/hfopenllm_v2/openai/DeepAutoAI/d2nwg_causal_gpt2/6b5b21c7-9284-4117-a63c-65628604e1a5.json
deleted file mode 100644
index e28e5a50e..000000000
--- a/data/hfopenllm_v2/openai/DeepAutoAI/d2nwg_causal_gpt2/6b5b21c7-9284-4117-a63c-65628604e1a5.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/openai/DeepAutoAI/d2nwg_causal_gpt2_v1/f822093a-2bdc-4284-8af2-8048d09afeb2.json b/data/hfopenllm_v2/openai/DeepAutoAI/d2nwg_causal_gpt2_v1/f822093a-2bdc-4284-8af2-8048d09afeb2.json
deleted file mode 100644
index df649573a..000000000
--- a/data/hfopenllm_v2/openai/DeepAutoAI/d2nwg_causal_gpt2_v1/f822093a-2bdc-4284-8af2-8048d09afeb2.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/openai/EleutherAI/gpt-j-6b/1f140f2a-c9cb-49fb-8bcd-e59f699fd12a.json b/data/hfopenllm_v2/openai/EleutherAI/gpt-j-6b/1f140f2a-c9cb-49fb-8bcd-e59f699fd12a.json
deleted file mode 100644
index d0cfc8a00..000000000
--- a/data/hfopenllm_v2/openai/EleutherAI/gpt-j-6b/1f140f2a-c9cb-49fb-8bcd-e59f699fd12a.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/openai/EleutherAI/gpt-neo-1.3B/dc615b98-9255-4a6e-afe2-c79d59362520.json b/data/hfopenllm_v2/openai/EleutherAI/gpt-neo-1.3B/dc615b98-9255-4a6e-afe2-c79d59362520.json
deleted file mode 100644
index 4738a8ca8..000000000
--- a/data/hfopenllm_v2/openai/EleutherAI/gpt-neo-1.3B/dc615b98-9255-4a6e-afe2-c79d59362520.json
+++ /dev/null
@@ -1,105 +0,0 @@
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deleted file mode 100644
index 0f55a993b..000000000
--- a/data/hfopenllm_v2/openai/EleutherAI/gpt-neo-125m/cff09938-5918-4825-b974-194019b48165.json
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deleted file mode 100644
index 732492590..000000000
--- a/data/hfopenllm_v2/openai/EleutherAI/gpt-neo-2.7B/6ebf0016-f747-4ccd-82fa-db427733b2f9.json
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deleted file mode 100644
index 2dee7fd94..000000000
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deleted file mode 100644
index a6bcc4828..000000000
--- a/data/hfopenllm_v2/openai/Kimargin/GPT-NEO-1.3B-wiki/9084d476-dee7-4447-9955-e0f066bd35ba.json
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deleted file mode 100644
index 734fd2374..000000000
--- a/data/hfopenllm_v2/openai/NYTK/PULI-GPTrio/685fc779-4f8b-4110-82da-5a49697153a0.json
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deleted file mode 100644
index d90f99ab0..000000000
--- a/data/hfopenllm_v2/openai/Sharathhebbar24/chat_gpt2_dpo/ce90bca7-f999-44ef-9b72-1fdb4ac68eb0.json
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deleted file mode 100644
index 4193c1b12..000000000
--- a/data/hfopenllm_v2/openai/distilbert/distilgpt2/a21cd9f0-6006-4587-bcd1-f1d42dfce7ba.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/openai/gpt2/43c1b559-e9e8-477e-95d9-1c28ac5d265c.json b/data/hfopenllm_v2/openai/gpt2/43c1b559-e9e8-477e-95d9-1c28ac5d265c.json
deleted file mode 100644
index adba12ac0..000000000
--- a/data/hfopenllm_v2/openai/gpt2/43c1b559-e9e8-477e-95d9-1c28ac5d265c.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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deleted file mode 100644
index 34cb2f14d..000000000
--- a/data/hfopenllm_v2/openai/gpt2/e28a8f11-68f6-464f-b1b8-21938cb41aa3.json
+++ /dev/null
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-{
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diff --git a/data/hfopenllm_v2/openai/langgptai/Qwen-las-v0.1/cfaa9b4e-8588-45a5-9b9d-4268a71b128b.json b/data/hfopenllm_v2/openai/langgptai/Qwen-las-v0.1/cfaa9b4e-8588-45a5-9b9d-4268a71b128b.json
deleted file mode 100644
index 1a48b4dfe..000000000
--- a/data/hfopenllm_v2/openai/langgptai/Qwen-las-v0.1/cfaa9b4e-8588-45a5-9b9d-4268a71b128b.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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deleted file mode 100644
index 82c822975..000000000
--- a/data/hfopenllm_v2/openai/meraGPT/mera-mix-4x7B/152e8d2f-8470-45b2-8318-9b6c44438978.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/openai/microsoft/DialoGPT-medium/3c70b5d5-784d-41fb-8ca7-eabd6a96a195.json b/data/hfopenllm_v2/openai/microsoft/DialoGPT-medium/3c70b5d5-784d-41fb-8ca7-eabd6a96a195.json
deleted file mode 100644
index 42deab28e..000000000
--- a/data/hfopenllm_v2/openai/microsoft/DialoGPT-medium/3c70b5d5-784d-41fb-8ca7-eabd6a96a195.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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deleted file mode 100644
index c0a83b051..000000000
--- a/data/hfopenllm_v2/openai/openai-community/gpt2-large/15499118-2a47-4a6f-8c86-158a87a9350f.json
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deleted file mode 100644
index 9d4cc279e..000000000
--- a/data/hfopenllm_v2/openai/openai-community/gpt2-medium/f68c55dc-0d74-4c75-ac57-62f23cce01b5.json
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deleted file mode 100644
index 1c0e900ff..000000000
--- a/data/hfopenllm_v2/openai/openai-community/gpt2-xl/39a68088-0a01-482d-81b3-c6a84d98d0ca.json
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deleted file mode 100644
index 0c9dfe1d9..000000000
--- a/data/hfopenllm_v2/openai/openai-community/gpt2/435a8268-cf26-4c78-8789-758dd32759b1.json
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deleted file mode 100644
index c60c9816f..000000000
--- a/data/hfopenllm_v2/openai/openai-community/gpt2/a18409fa-1372-401e-8ae5-f25eaa6386d2.json
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deleted file mode 100644
index 8cac0cf95..000000000
--- a/data/hfopenllm_v2/openai/postbot/gpt2-medium-emailgen/a661e335-7ed5-43b9-aa3b-1e027cebdb75.json
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diff --git a/data/hfopenllm_v2/openai/sumink/ftgpt/ba4e0ed2-201a-4007-afbe-65e8276d853c.json b/data/hfopenllm_v2/openai/sumink/ftgpt/ba4e0ed2-201a-4007-afbe-65e8276d853c.json
deleted file mode 100644
index d2aed364c..000000000
--- a/data/hfopenllm_v2/openai/sumink/ftgpt/ba4e0ed2-201a-4007-afbe-65e8276d853c.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/openai/togethercomputer/GPT-JT-6B-v1/03196258-8cc8-4c57-badf-9085ede8d658.json b/data/hfopenllm_v2/openai/togethercomputer/GPT-JT-6B-v1/03196258-8cc8-4c57-badf-9085ede8d658.json
deleted file mode 100644
index 7495f47a7..000000000
--- a/data/hfopenllm_v2/openai/togethercomputer/GPT-JT-6B-v1/03196258-8cc8-4c57-badf-9085ede8d658.json
+++ /dev/null
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-{
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diff --git a/data/hfopenllm_v2/openai/universalml/NepaliGPT-2.0/07a71559-e618-4ba7-8721-bc6834f1c727.json b/data/hfopenllm_v2/openai/universalml/NepaliGPT-2.0/07a71559-e618-4ba7-8721-bc6834f1c727.json
deleted file mode 100644
index a6aa7b475..000000000
--- a/data/hfopenllm_v2/openai/universalml/NepaliGPT-2.0/07a71559-e618-4ba7-8721-bc6834f1c727.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/openai/yuchenxie/ArlowGPT-3B-Multilingual/fd270937-c889-4a2b-aada-341a44c80d46.json b/data/hfopenllm_v2/openai/yuchenxie/ArlowGPT-3B-Multilingual/fd270937-c889-4a2b-aada-341a44c80d46.json
deleted file mode 100644
index 8ddfb1839..000000000
--- a/data/hfopenllm_v2/openai/yuchenxie/ArlowGPT-3B-Multilingual/fd270937-c889-4a2b-aada-341a44c80d46.json
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-{
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deleted file mode 100644
index e734cac16..000000000
--- a/data/hfopenllm_v2/openai/yuchenxie/ArlowGPT-8B/af890cb6-9d90-41b0-a7a1-c87f3584b93c.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/openbmb/MiniCPM-S-1B-sft-llama-format/1e5b62a3-018b-429a-b2b4-325545ee99dc.json b/data/hfopenllm_v2/openbmb/MiniCPM-S-1B-sft-llama-format/1e5b62a3-018b-429a-b2b4-325545ee99dc.json
new file mode 100644
index 000000000..404c67964
--- /dev/null
+++ b/data/hfopenllm_v2/openbmb/MiniCPM-S-1B-sft-llama-format/1e5b62a3-018b-429a-b2b4-325545ee99dc.json
@@ -0,0 +1,132 @@
+{
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+    "source_type": "documentation",
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+    "id": "openbmb/MiniCPM-S-1B-sft-llama-format",
+    "developer": "openbmb",
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+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3049
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.031
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.271
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3317
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1858
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/openbmb/MiniCPM-S-1B-sft-llama-format/53b78e02-9491-4f3b-a03b-7c015dde640a.json b/data/hfopenllm_v2/openbmb/MiniCPM-S-1B-sft-llama-format/53b78e02-9491-4f3b-a03b-7c015dde640a.json
deleted file mode 100644
index 00f290146..000000000
--- a/data/hfopenllm_v2/openbmb/MiniCPM-S-1B-sft-llama-format/53b78e02-9491-4f3b-a03b-7c015dde640a.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/openbmb_MiniCPM-S-1B-sft-llama-format/1762652580.430347",
-  "retrieved_timestamp": "1762652580.430348",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "openbmb/MiniCPM-S-1B-sft-llama-format",
-    "developer": "openbmb",
-    "inference_platform": "unknown",
-    "id": "openbmb/MiniCPM-S-1B-sft-llama-format",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 1.0
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3328767669782843
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30493136322070497
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.030966767371601207
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2709731543624161
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.33167708333333334
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1858377659574468
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/openchat/openchat-3.5-0106/51cd5c94-7c87-4758-aadc-46acf20ab4b0.json b/data/hfopenllm_v2/openchat/openchat-3.5-0106/51cd5c94-7c87-4758-aadc-46acf20ab4b0.json
deleted file mode 100644
index 8a103cd20..000000000
--- a/data/hfopenllm_v2/openchat/openchat-3.5-0106/51cd5c94-7c87-4758-aadc-46acf20ab4b0.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/openchat_openchat-3.5-0106/1762652580.430586",
-  "retrieved_timestamp": "1762652580.4305868",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "openchat/openchat-3.5-0106",
-    "developer": "openchat",
-    "inference_platform": "unknown",
-    "id": "openchat/openchat-3.5-0106",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5966590867786362
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.46169787083960595
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.07628398791540786
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30788590604026844
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42543749999999997
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3291223404255319
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/openchat/openchat-3.5-0106/958d410e-ce43-44c0-8a56-685c0a618408.json b/data/hfopenllm_v2/openchat/openchat-3.5-0106/958d410e-ce43-44c0-8a56-685c0a618408.json
new file mode 100644
index 000000000..c3931b7fa
--- /dev/null
+++ b/data/hfopenllm_v2/openchat/openchat-3.5-0106/958d410e-ce43-44c0-8a56-685c0a618408.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/openchat_openchat-3.5-0106/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "openchat-3.5-0106",
+    "id": "openchat/openchat-3.5-0106",
+    "developer": "openchat",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5967
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4617
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0763
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3079
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4254
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3291
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/openchat/openchat-3.5-1210/57c53f20-aa32-49fd-926a-f26c9d0759d4.json b/data/hfopenllm_v2/openchat/openchat-3.5-1210/57c53f20-aa32-49fd-926a-f26c9d0759d4.json
new file mode 100644
index 000000000..2d6ea71b7
--- /dev/null
+++ b/data/hfopenllm_v2/openchat/openchat-3.5-1210/57c53f20-aa32-49fd-926a-f26c9d0759d4.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/openchat_openchat-3.5-1210/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "openchat-3.5-1210",
+    "id": "openchat/openchat-3.5-1210",
+    "developer": "openchat",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6037
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4535
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0785
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3012
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4414
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3142
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/openchat/openchat-3.5-1210/6b3c8f0b-25ed-4ae3-be89-a91815091de0.json b/data/hfopenllm_v2/openchat/openchat-3.5-1210/6b3c8f0b-25ed-4ae3-be89-a91815091de0.json
deleted file mode 100644
index 331f1ab5c..000000000
--- a/data/hfopenllm_v2/openchat/openchat-3.5-1210/6b3c8f0b-25ed-4ae3-be89-a91815091de0.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/openchat_openchat-3.5-1210/1762652580.430838",
-  "retrieved_timestamp": "1762652580.430839",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "openchat/openchat-3.5-1210",
-    "developer": "openchat",
-    "inference_platform": "unknown",
-    "id": "openchat/openchat-3.5-1210",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.603678240402133
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4535356846447984
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.07854984894259819
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3011744966442953
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4414375
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3142453457446808
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/openchat/openchat-3.6-8b-20240522/2305b9e7-1c2b-42d7-b306-802e32d53e0f.json b/data/hfopenllm_v2/openchat/openchat-3.6-8b-20240522/2305b9e7-1c2b-42d7-b306-802e32d53e0f.json
deleted file mode 100644
index 972427071..000000000
--- a/data/hfopenllm_v2/openchat/openchat-3.6-8b-20240522/2305b9e7-1c2b-42d7-b306-802e32d53e0f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/openchat_openchat-3.6-8b-20240522/1762652580.4310489",
-  "retrieved_timestamp": "1762652580.43105",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "openchat/openchat-3.6-8b-20240522",
-    "developer": "openchat",
-    "inference_platform": "unknown",
-    "id": "openchat/openchat-3.6-8b-20240522",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5343355629729118
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5338412089001999
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.09969788519637462
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3179530201342282
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3998541666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.32288896276595747
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/openchat/openchat-3.6-8b-20240522/76def522-6fe1-458f-bfbf-99b50ece3367.json b/data/hfopenllm_v2/openchat/openchat-3.6-8b-20240522/76def522-6fe1-458f-bfbf-99b50ece3367.json
new file mode 100644
index 000000000..162c9b8e8
--- /dev/null
+++ b/data/hfopenllm_v2/openchat/openchat-3.6-8b-20240522/76def522-6fe1-458f-bfbf-99b50ece3367.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/openchat_openchat-3.6-8b-20240522/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "openchat-3.6-8b-20240522",
+    "id": "openchat/openchat-3.6-8b-20240522",
+    "developer": "openchat",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5343
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5338
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0997
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.318
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3999
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3229
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/openchat/openchat_3.5/c2d66fd5-6c95-4b8e-b87f-c8f0ae00271a.json b/data/hfopenllm_v2/openchat/openchat_3.5/c2d66fd5-6c95-4b8e-b87f-c8f0ae00271a.json
deleted file mode 100644
index 1c7bd62f8..000000000
--- a/data/hfopenllm_v2/openchat/openchat_3.5/c2d66fd5-6c95-4b8e-b87f-c8f0ae00271a.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/openchat_openchat_3.5/1762652580.431262",
-  "retrieved_timestamp": "1762652580.431263",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "openchat/openchat_3.5",
-    "developer": "openchat",
-    "inference_platform": "unknown",
-    "id": "openchat/openchat_3.5",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.0
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5931118321608887
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.44263196862832893
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.07250755287009064
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2986577181208054
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4228645833333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.31532579787234044
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/openchat/openchat_3.5/c467bc88-6769-48ac-abd4-867ee38bbe57.json b/data/hfopenllm_v2/openchat/openchat_3.5/c467bc88-6769-48ac-abd4-867ee38bbe57.json
new file mode 100644
index 000000000..652c57fc3
--- /dev/null
+++ b/data/hfopenllm_v2/openchat/openchat_3.5/c467bc88-6769-48ac-abd4-867ee38bbe57.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/openchat_openchat_3.5/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "openchat_3.5",
+    "id": "openchat/openchat_3.5",
+    "developer": "openchat",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.0
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5931
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4426
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0725
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2987
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4229
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3153
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/openchat/openchat_v3.2/2ee1a517-ef52-469e-ac5d-f14e3d72c87c.json b/data/hfopenllm_v2/openchat/openchat_v3.2/2ee1a517-ef52-469e-ac5d-f14e3d72c87c.json
deleted file mode 100644
index 6f49605c4..000000000
--- a/data/hfopenllm_v2/openchat/openchat_v3.2/2ee1a517-ef52-469e-ac5d-f14e3d72c87c.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/openchat_openchat_v3.2/1762652580.431712",
-  "retrieved_timestamp": "1762652580.431714",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "openchat/openchat_v3.2",
-    "developer": "openchat",
-    "inference_platform": "unknown",
-    "id": "openchat/openchat_v3.2",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 13.0
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2980558252104416
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4330564283474314
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.01283987915407855
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2701342281879195
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.433625
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2421875
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/openchat/openchat_v3.2/801681eb-66f4-46e0-bb2b-7ba4b46679af.json b/data/hfopenllm_v2/openchat/openchat_v3.2/801681eb-66f4-46e0-bb2b-7ba4b46679af.json
new file mode 100644
index 000000000..781672e47
--- /dev/null
+++ b/data/hfopenllm_v2/openchat/openchat_v3.2/801681eb-66f4-46e0-bb2b-7ba4b46679af.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/openchat_openchat_v3.2/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "openchat_v3.2",
+    "id": "openchat/openchat_v3.2",
+    "developer": "openchat",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 13.0
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2981
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4331
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0128
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2701
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4336
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2422
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/openchat/openchat_v3.2_super/b7b3fcb7-bbc7-4f39-9daa-7a54362d5d68.json b/data/hfopenllm_v2/openchat/openchat_v3.2_super/b7b3fcb7-bbc7-4f39-9daa-7a54362d5d68.json
deleted file mode 100644
index f1785cffb..000000000
--- a/data/hfopenllm_v2/openchat/openchat_v3.2_super/b7b3fcb7-bbc7-4f39-9daa-7a54362d5d68.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/openchat_openchat_v3.2_super/1762652580.431961",
-  "retrieved_timestamp": "1762652580.431962",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "openchat/openchat_v3.2_super",
-    "developer": "openchat",
-    "inference_platform": "unknown",
-    "id": "openchat/openchat_v3.2_super",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 13.0
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2861906408329898
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42212089838803973
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.021148036253776436
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.26426174496644295
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41613541666666665
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.24251994680851063
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/openchat/openchat_v3.2_super/cdd0ea1c-b17a-4816-953c-1d7164c64114.json b/data/hfopenllm_v2/openchat/openchat_v3.2_super/cdd0ea1c-b17a-4816-953c-1d7164c64114.json
new file mode 100644
index 000000000..a8f2b40b0
--- /dev/null
+++ b/data/hfopenllm_v2/openchat/openchat_v3.2_super/cdd0ea1c-b17a-4816-953c-1d7164c64114.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/openchat_openchat_v3.2_super/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "openchat_v3.2_super",
+    "id": "openchat/openchat_v3.2_super",
+    "developer": "openchat",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 13.0
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2862
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4221
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0211
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2643
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4161
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2425
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/orai-nlp/Llama-eus-8B/b2060893-1f7d-4e7a-a458-3623147ac118.json b/data/hfopenllm_v2/orai-nlp/Llama-eus-8B/b2060893-1f7d-4e7a-a458-3623147ac118.json
new file mode 100644
index 000000000..5964aa7f2
--- /dev/null
+++ b/data/hfopenllm_v2/orai-nlp/Llama-eus-8B/b2060893-1f7d-4e7a-a458-3623147ac118.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/orai-nlp_Llama-eus-8B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-eus-8B",
+    "id": "orai-nlp/Llama-eus-8B",
+    "developer": "orai-nlp",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2161
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4418
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0468
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2894
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3919
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3058
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/oxyapi/oxy-1-small/62126b06-5bd2-451f-a76c-7c227690f149.json b/data/hfopenllm_v2/oxyapi/oxy-1-small/62126b06-5bd2-451f-a76c-7c227690f149.json
deleted file mode 100644
index 080fa16ed..000000000
--- a/data/hfopenllm_v2/oxyapi/oxy-1-small/62126b06-5bd2-451f-a76c-7c227690f149.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/oxyapi_oxy-1-small/1762652580.432582",
-  "retrieved_timestamp": "1762652580.432582",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "oxyapi/oxy-1-small",
-    "developer": "oxyapi",
-    "inference_platform": "unknown",
-    "id": "oxyapi/oxy-1-small",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 14.77
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6244608749229821
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5884593784818278
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.36027190332326287
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3716442953020134
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4486666666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5000831117021277
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/oxyapi/oxy-1-small/cf8aac35-679a-4ebb-bca8-6e0f2d42e71b.json b/data/hfopenllm_v2/oxyapi/oxy-1-small/cf8aac35-679a-4ebb-bca8-6e0f2d42e71b.json
new file mode 100644
index 000000000..eae996b8a
--- /dev/null
+++ b/data/hfopenllm_v2/oxyapi/oxy-1-small/cf8aac35-679a-4ebb-bca8-6e0f2d42e71b.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/oxyapi_oxy-1-small/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "oxy-1-small",
+    "id": "oxyapi/oxy-1-small",
+    "developer": "oxyapi",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.77
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6245
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+      "score_details": {
+        "score": 0.5885
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
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+    {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+        "score": 0.4487
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+    },
+    {
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+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/ozone-ai/0x-lite/34bfe887-5a3a-4626-997e-c35d3a0ec341.json b/data/hfopenllm_v2/ozone-ai/0x-lite/34bfe887-5a3a-4626-997e-c35d3a0ec341.json
new file mode 100644
index 000000000..b6787efe4
--- /dev/null
+++ b/data/hfopenllm_v2/ozone-ai/0x-lite/34bfe887-5a3a-4626-997e-c35d3a0ec341.json
@@ -0,0 +1,132 @@
+{
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+  "evaluation_id": "hfopenllm_v2/ozone-ai_0x-lite/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "0x-lite",
+    "id": "ozone-ai/0x-lite",
+    "developer": "ozone-ai",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.77
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+      }
+    },
+    {
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+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6341
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3196
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4221
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5184
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/ozone-ai/0x-lite/9b5b23bc-44bb-4d47-91a2-18e23571743d.json b/data/hfopenllm_v2/ozone-ai/0x-lite/9b5b23bc-44bb-4d47-91a2-18e23571743d.json
deleted file mode 100644
index 846db725a..000000000
--- a/data/hfopenllm_v2/ozone-ai/0x-lite/9b5b23bc-44bb-4d47-91a2-18e23571743d.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/ozone-ai_0x-lite/1762652580.432846",
-  "retrieved_timestamp": "1762652580.432847",
-  "source_data": [
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "ozone-ai/0x-lite",
-    "developer": "ozone-ai",
-    "inference_platform": "unknown",
-    "id": "ozone-ai/0x-lite",
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-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
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-    }
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-  "evaluation_results": [
-    {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-        "score_type": "continuous",
-        "min_score": 0,
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-      },
-      "score_details": {
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-    },
-    {
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-        "lower_is_better": false,
-        "score_type": "continuous",
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/ozone-research/Chirp-01/69a65ae3-71fe-4e33-be2d-20bc0c25969a.json b/data/hfopenllm_v2/ozone-research/Chirp-01/69a65ae3-71fe-4e33-be2d-20bc0c25969a.json
deleted file mode 100644
index 12cb40df3..000000000
--- a/data/hfopenllm_v2/ozone-research/Chirp-01/69a65ae3-71fe-4e33-be2d-20bc0c25969a.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/ozone-research_Chirp-01/1762652580.433142",
-  "retrieved_timestamp": "1762652580.4331431",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
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-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
-    "name": "ozone-research/Chirp-01",
-    "developer": "ozone-research",
-    "inference_platform": "unknown",
-    "id": "ozone-research/Chirp-01",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 3.086
-    }
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-  "evaluation_results": [
-    {
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-    {
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-        "lower_is_better": false,
-        "score_type": "continuous",
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-        "max_score": 1
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-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/ozone-research/Chirp-01/b81acc47-6fd5-4f89-8c70-f8f14b677e04.json b/data/hfopenllm_v2/ozone-research/Chirp-01/b81acc47-6fd5-4f89-8c70-f8f14b677e04.json
new file mode 100644
index 000000000..92d7d8fbf
--- /dev/null
+++ b/data/hfopenllm_v2/ozone-research/Chirp-01/b81acc47-6fd5-4f89-8c70-f8f14b677e04.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/ozone-research_Chirp-01/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Chirp-01",
+    "id": "ozone-research/Chirp-01",
+    "developer": "ozone-research",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 3.086
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6348
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+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.465
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3467
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+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2718
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+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4487
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+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3508
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/paloalma/ECE-TW3-JRGL-V1/30b977a8-7882-49be-8621-9ee3fce270ec.json b/data/hfopenllm_v2/paloalma/ECE-TW3-JRGL-V1/30b977a8-7882-49be-8621-9ee3fce270ec.json
new file mode 100644
index 000000000..fa0ba291d
--- /dev/null
+++ b/data/hfopenllm_v2/paloalma/ECE-TW3-JRGL-V1/30b977a8-7882-49be-8621-9ee3fce270ec.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/paloalma_ECE-TW3-JRGL-V1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "ECE-TW3-JRGL-V1",
+    "id": "paloalma/ECE-TW3-JRGL-V1",
+    "developer": "paloalma",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 68.977
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+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5535
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+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6284
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+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1314
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3473
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4621
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4221
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/paloalma/ECE-TW3-JRGL-V1/d86238d3-3a4e-467a-8ce1-e6a4a903aa3b.json b/data/hfopenllm_v2/paloalma/ECE-TW3-JRGL-V1/d86238d3-3a4e-467a-8ce1-e6a4a903aa3b.json
deleted file mode 100644
index 432e5603d..000000000
--- a/data/hfopenllm_v2/paloalma/ECE-TW3-JRGL-V1/d86238d3-3a4e-467a-8ce1-e6a4a903aa3b.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/paloalma_ECE-TW3-JRGL-V1/1762652580.433397",
-  "retrieved_timestamp": "1762652580.433398",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "paloalma/ECE-TW3-JRGL-V1",
-    "developer": "paloalma",
-    "inference_platform": "unknown",
-    "id": "paloalma/ECE-TW3-JRGL-V1",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 68.977
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5534947273235016
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6283667540784627
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.13141993957703926
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.34731543624161076
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.46208333333333335
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.422124335106383
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/paloalma/ECE-TW3-JRGL-V2/3367fd79-713c-4691-80cd-4abb6b2818ef.json b/data/hfopenllm_v2/paloalma/ECE-TW3-JRGL-V2/3367fd79-713c-4691-80cd-4abb6b2818ef.json
new file mode 100644
index 000000000..503c32c60
--- /dev/null
+++ b/data/hfopenllm_v2/paloalma/ECE-TW3-JRGL-V2/3367fd79-713c-4691-80cd-4abb6b2818ef.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/paloalma_ECE-TW3-JRGL-V2/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "ECE-TW3-JRGL-V2",
+    "id": "paloalma/ECE-TW3-JRGL-V2",
+    "developer": "paloalma",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 72.288
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2255
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6031
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.185
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3314
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4793
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4588
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/paloalma/ECE-TW3-JRGL-V2/d8d1a5b1-cc9a-4af9-b95f-db78f7edf70e.json b/data/hfopenllm_v2/paloalma/ECE-TW3-JRGL-V2/d8d1a5b1-cc9a-4af9-b95f-db78f7edf70e.json
deleted file mode 100644
index ee6c395fe..000000000
--- a/data/hfopenllm_v2/paloalma/ECE-TW3-JRGL-V2/d8d1a5b1-cc9a-4af9-b95f-db78f7edf70e.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/paloalma_ECE-TW3-JRGL-V2/1762652580.433646",
-  "retrieved_timestamp": "1762652580.4336472",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "paloalma/ECE-TW3-JRGL-V2",
-    "developer": "paloalma",
-    "inference_platform": "unknown",
-    "id": "paloalma/ECE-TW3-JRGL-V2",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 72.288
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2254894790267601
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6030988136029874
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.18504531722054382
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3313758389261745
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.47932291666666665
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4587765957446808
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/paloalma/ECE-TW3-JRGL-V5/9468fda5-a233-4d19-9a99-602e694f4a02.json b/data/hfopenllm_v2/paloalma/ECE-TW3-JRGL-V5/9468fda5-a233-4d19-9a99-602e694f4a02.json
deleted file mode 100644
index a427a8558..000000000
--- a/data/hfopenllm_v2/paloalma/ECE-TW3-JRGL-V5/9468fda5-a233-4d19-9a99-602e694f4a02.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/paloalma_ECE-TW3-JRGL-V5/1762652580.433843",
-  "retrieved_timestamp": "1762652580.4338439",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "paloalma/ECE-TW3-JRGL-V5",
-    "developer": "paloalma",
-    "inference_platform": "unknown",
-    "id": "paloalma/ECE-TW3-JRGL-V5",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 72.289
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4552509563513699
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6024712037668832
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.18353474320241692
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3414429530201342
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4620520833333333
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.46476063829787234
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-}
diff --git a/data/hfopenllm_v2/paloalma/ECE-TW3-JRGL-V5/add899b8-f3e6-4d87-8846-8254f4dfbd5f.json b/data/hfopenllm_v2/paloalma/ECE-TW3-JRGL-V5/add899b8-f3e6-4d87-8846-8254f4dfbd5f.json
new file mode 100644
index 000000000..9ec62858b
--- /dev/null
+++ b/data/hfopenllm_v2/paloalma/ECE-TW3-JRGL-V5/add899b8-f3e6-4d87-8846-8254f4dfbd5f.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/paloalma_ECE-TW3-JRGL-V5/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "ECE-TW3-JRGL-V5",
+    "id": "paloalma/ECE-TW3-JRGL-V5",
+    "developer": "paloalma",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 72.289
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4553
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6025
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1835
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3414
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4621
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4648
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/paloalma/Le_Triomphant-ECE-TW3/49f92222-f6cd-47e5-968d-10dc4345dd90.json b/data/hfopenllm_v2/paloalma/Le_Triomphant-ECE-TW3/49f92222-f6cd-47e5-968d-10dc4345dd90.json
deleted file mode 100644
index e1b307fc0..000000000
--- a/data/hfopenllm_v2/paloalma/Le_Triomphant-ECE-TW3/49f92222-f6cd-47e5-968d-10dc4345dd90.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/paloalma_Le_Triomphant-ECE-TW3/1762652580.434039",
-  "retrieved_timestamp": "1762652580.434039",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "paloalma/Le_Triomphant-ECE-TW3",
-    "developer": "paloalma",
-    "inference_platform": "unknown",
-    "id": "paloalma/Le_Triomphant-ECE-TW3",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 72.289
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5402055435134332
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6112057897556996
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.19486404833836857
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.348993288590604
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4725
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.476313164893617
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/paloalma/Le_Triomphant-ECE-TW3/53829ec0-f233-4b61-a672-6a467823caaa.json b/data/hfopenllm_v2/paloalma/Le_Triomphant-ECE-TW3/53829ec0-f233-4b61-a672-6a467823caaa.json
new file mode 100644
index 000000000..bd04d24ff
--- /dev/null
+++ b/data/hfopenllm_v2/paloalma/Le_Triomphant-ECE-TW3/53829ec0-f233-4b61-a672-6a467823caaa.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/paloalma_Le_Triomphant-ECE-TW3/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Le_Triomphant-ECE-TW3",
+    "id": "paloalma/Le_Triomphant-ECE-TW3",
+    "developer": "paloalma",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 72.289
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5402
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6112
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1949
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.349
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4725
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4763
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/paloalma/TW3-JRGL-v2/525f2e27-bd77-49e9-85db-61efddbdd186.json b/data/hfopenllm_v2/paloalma/TW3-JRGL-v2/525f2e27-bd77-49e9-85db-61efddbdd186.json
deleted file mode 100644
index f386de8f5..000000000
--- a/data/hfopenllm_v2/paloalma/TW3-JRGL-v2/525f2e27-bd77-49e9-85db-61efddbdd186.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/paloalma_TW3-JRGL-v2/1762652580.43424",
-  "retrieved_timestamp": "1762652580.434241",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "paloalma/TW3-JRGL-v2",
-    "developer": "paloalma",
-    "inference_platform": "unknown",
-    "id": "paloalma/TW3-JRGL-v2",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 72.289
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5316127874040878
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6137525505395743
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.17900302114803626
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.35906040268456374
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.48583333333333334
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4857878989361702
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/paloalma/TW3-JRGL-v2/e2b41200-bff2-4835-a0ea-27ff56937570.json b/data/hfopenllm_v2/paloalma/TW3-JRGL-v2/e2b41200-bff2-4835-a0ea-27ff56937570.json
new file mode 100644
index 000000000..f94c8540b
--- /dev/null
+++ b/data/hfopenllm_v2/paloalma/TW3-JRGL-v2/e2b41200-bff2-4835-a0ea-27ff56937570.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/paloalma_TW3-JRGL-v2/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "TW3-JRGL-v2",
+    "id": "paloalma/TW3-JRGL-v2",
+    "developer": "paloalma",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 72.289
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5316
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6138
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.179
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3591
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4858
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4858
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/pankajmathur/Al_Dente_v1_8b/3d33f26d-72be-451e-bcf0-501e0bc2f1db.json b/data/hfopenllm_v2/pankajmathur/Al_Dente_v1_8b/3d33f26d-72be-451e-bcf0-501e0bc2f1db.json
new file mode 100644
index 000000000..4ce9999c5
--- /dev/null
+++ b/data/hfopenllm_v2/pankajmathur/Al_Dente_v1_8b/3d33f26d-72be-451e-bcf0-501e0bc2f1db.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/pankajmathur_Al_Dente_v1_8b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Al_Dente_v1_8b",
+    "id": "pankajmathur/Al_Dente_v1_8b",
+    "developer": "pankajmathur",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3694
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4835
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0408
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2995
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3987
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.286
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/pankajmathur/Al_Dente_v1_8b/9924f2bd-abe5-431c-aa06-be24952ca363.json b/data/hfopenllm_v2/pankajmathur/Al_Dente_v1_8b/9924f2bd-abe5-431c-aa06-be24952ca363.json
deleted file mode 100644
index 7b1e2b31a..000000000
--- a/data/hfopenllm_v2/pankajmathur/Al_Dente_v1_8b/9924f2bd-abe5-431c-aa06-be24952ca363.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/pankajmathur_Al_Dente_v1_8b/1762652580.434438",
-  "retrieved_timestamp": "1762652580.434439",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "pankajmathur/Al_Dente_v1_8b",
-    "developer": "pankajmathur",
-    "inference_platform": "unknown",
-    "id": "pankajmathur/Al_Dente_v1_8b",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3693721547715617
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.48347371404380524
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.04078549848942598
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.29949664429530204
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3987083333333334
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2859873670212766
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/pankajmathur/model_007_13b_v2/3b4c05fc-2ccf-46db-8d64-045508f6614b.json b/data/hfopenllm_v2/pankajmathur/model_007_13b_v2/3b4c05fc-2ccf-46db-8d64-045508f6614b.json
new file mode 100644
index 000000000..8fcac09dd
--- /dev/null
+++ b/data/hfopenllm_v2/pankajmathur/model_007_13b_v2/3b4c05fc-2ccf-46db-8d64-045508f6614b.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/pankajmathur_model_007_13b_v2/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "model_007_13b_v2",
+    "id": "pankajmathur/model_007_13b_v2",
+    "developer": "pankajmathur",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 13.0
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3056
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4702
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0211
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2836
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4611
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2461
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/pankajmathur/model_007_13b_v2/a108864f-40d6-492b-8440-1cbb5d87a5fe.json b/data/hfopenllm_v2/pankajmathur/model_007_13b_v2/a108864f-40d6-492b-8440-1cbb5d87a5fe.json
deleted file mode 100644
index 17ebc3fe6..000000000
--- a/data/hfopenllm_v2/pankajmathur/model_007_13b_v2/a108864f-40d6-492b-8440-1cbb5d87a5fe.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/pankajmathur_model_007_13b_v2/1762652580.434693",
-  "retrieved_timestamp": "1762652580.4346938",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "pankajmathur/model_007_13b_v2",
-    "developer": "pankajmathur",
-    "inference_platform": "unknown",
-    "id": "pankajmathur/model_007_13b_v2",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 13.0
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30564901129004374
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4702292766687601
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.021148036253776436
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2835570469798658
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.46109375
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.24609375
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/pankajmathur/orca_mini_3b/af83a91c-3b07-48c6-9726-5bd77347f810.json b/data/hfopenllm_v2/pankajmathur/orca_mini_3b/af83a91c-3b07-48c6-9726-5bd77347f810.json
new file mode 100644
index 000000000..ba7ea5916
--- /dev/null
+++ b/data/hfopenllm_v2/pankajmathur/orca_mini_3b/af83a91c-3b07-48c6-9726-5bd77347f810.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/pankajmathur_orca_mini_3b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "orca_mini_3b",
+    "id": "pankajmathur/orca_mini_3b",
+    "developer": "pankajmathur",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 3.426
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0742
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3196
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0083
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2458
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3349
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1145
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/pankajmathur/orca_mini_3b/bebbfd98-fdba-413d-9e7d-06af8bd4d5a7.json b/data/hfopenllm_v2/pankajmathur/orca_mini_3b/bebbfd98-fdba-413d-9e7d-06af8bd4d5a7.json
deleted file mode 100644
index de939bf55..000000000
--- a/data/hfopenllm_v2/pankajmathur/orca_mini_3b/bebbfd98-fdba-413d-9e7d-06af8bd4d5a7.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/pankajmathur_orca_mini_3b/1762652580.434913",
-  "retrieved_timestamp": "1762652580.434913",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "pankajmathur/orca_mini_3b",
-    "developer": "pankajmathur",
-    "inference_platform": "unknown",
-    "id": "pankajmathur/orca_mini_3b",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 3.426
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.07421419611076388
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3196070040004752
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.008308157099697885
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.24580536912751677
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3349270833333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11452792553191489
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/pankajmathur/orca_mini_7b/48759b07-9aea-42bd-8d73-9c4208d2789f.json b/data/hfopenllm_v2/pankajmathur/orca_mini_7b/48759b07-9aea-42bd-8d73-9c4208d2789f.json
new file mode 100644
index 000000000..9f6551021
--- /dev/null
+++ b/data/hfopenllm_v2/pankajmathur/orca_mini_7b/48759b07-9aea-42bd-8d73-9c4208d2789f.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/pankajmathur_orca_mini_7b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "orca_mini_7b",
+    "id": "pankajmathur/orca_mini_7b",
+    "developer": "pankajmathur",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 7.0
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+      "score_details": {
+        "score": 0.0412
+      }
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+    {
+      "evaluation_name": "BBH",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3332
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0128
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
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+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1246
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/pankajmathur/orca_mini_7b/773c97e1-0e43-46ae-a134-8a08ca9b5094.json b/data/hfopenllm_v2/pankajmathur/orca_mini_7b/773c97e1-0e43-46ae-a134-8a08ca9b5094.json
deleted file mode 100644
index 845f633bf..000000000
--- a/data/hfopenllm_v2/pankajmathur/orca_mini_7b/773c97e1-0e43-46ae-a134-8a08ca9b5094.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/pankajmathur_orca_mini_7b/1762652580.435124",
-  "retrieved_timestamp": "1762652580.4351249",
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-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "pankajmathur/orca_mini_7b",
-    "developer": "pankajmathur",
-    "inference_platform": "unknown",
-    "id": "pankajmathur/orca_mini_7b",
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-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 7.0
-    }
-  },
-  "evaluation_results": [
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-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-      "score_details": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-    {
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-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-    {
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-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
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-      },
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-    },
-    {
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-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.36975
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/pankajmathur/orca_mini_phi-4/68820679-55f4-494d-91a0-0db1bccb8983.json b/data/hfopenllm_v2/pankajmathur/orca_mini_phi-4/68820679-55f4-494d-91a0-0db1bccb8983.json
new file mode 100644
index 000000000..cf14929d8
--- /dev/null
+++ b/data/hfopenllm_v2/pankajmathur/orca_mini_phi-4/68820679-55f4-494d-91a0-0db1bccb8983.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/pankajmathur_orca_mini_phi-4/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "orca_mini_phi-4",
+    "id": "pankajmathur/orca_mini_phi-4",
+    "developer": "pankajmathur",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 14.66
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7781
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6856
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2953
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3742
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4703
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5255
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/pankajmathur/orca_mini_v2_7b/029774ac-a63d-4acc-a37c-4194e4afdecc.json b/data/hfopenllm_v2/pankajmathur/orca_mini_v2_7b/029774ac-a63d-4acc-a37c-4194e4afdecc.json
new file mode 100644
index 000000000..37a85929b
--- /dev/null
+++ b/data/hfopenllm_v2/pankajmathur/orca_mini_v2_7b/029774ac-a63d-4acc-a37c-4194e4afdecc.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/pankajmathur_orca_mini_v2_7b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "orca_mini_v2_7b",
+    "id": "pankajmathur/orca_mini_v2_7b",
+    "developer": "pankajmathur",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 7.0
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1358
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3536
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0113
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2492
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3593
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1542
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/pankajmathur/orca_mini_v2_7b/036c4f96-2d08-40a1-968d-293e0b3a1ed0.json b/data/hfopenllm_v2/pankajmathur/orca_mini_v2_7b/036c4f96-2d08-40a1-968d-293e0b3a1ed0.json
deleted file mode 100644
index 59677d418..000000000
--- a/data/hfopenllm_v2/pankajmathur/orca_mini_v2_7b/036c4f96-2d08-40a1-968d-293e0b3a1ed0.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/pankajmathur_orca_mini_v2_7b/1762652580.435575",
-  "retrieved_timestamp": "1762652580.435576",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
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-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "pankajmathur/orca_mini_v2_7b",
-    "developer": "pankajmathur",
-    "inference_platform": "unknown",
-    "id": "pankajmathur/orca_mini_v2_7b",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 7.0
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
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-        "max_score": 1
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
-        "score": 0.24916107382550334
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-    {
-      "evaluation_name": "MUSR",
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-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.35933333333333334
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1541722074468085
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/pankajmathur/orca_mini_v3_13b/146df856-e2c8-41eb-b860-ceb78c126e55.json b/data/hfopenllm_v2/pankajmathur/orca_mini_v3_13b/146df856-e2c8-41eb-b860-ceb78c126e55.json
new file mode 100644
index 000000000..d255ddd83
--- /dev/null
+++ b/data/hfopenllm_v2/pankajmathur/orca_mini_v3_13b/146df856-e2c8-41eb-b860-ceb78c126e55.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/pankajmathur_orca_mini_v3_13b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "orca_mini_v3_13b",
+    "id": "pankajmathur/orca_mini_v3_13b",
+    "developer": "pankajmathur",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 13.0
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2897
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+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4711
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0211
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2651
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4598
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2305
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/pankajmathur/orca_mini_v3_13b/d3ba7ff3-e0d7-48e3-b63d-9648a193679f.json b/data/hfopenllm_v2/pankajmathur/orca_mini_v3_13b/d3ba7ff3-e0d7-48e3-b63d-9648a193679f.json
deleted file mode 100644
index 782a46286..000000000
--- a/data/hfopenllm_v2/pankajmathur/orca_mini_v3_13b/d3ba7ff3-e0d7-48e3-b63d-9648a193679f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/pankajmathur_orca_mini_v3_13b/1762652580.435779",
-  "retrieved_timestamp": "1762652580.43578",
-  "source_data": [
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-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "pankajmathur/orca_mini_v3_13b",
-    "developer": "pankajmathur",
-    "inference_platform": "unknown",
-    "id": "pankajmathur/orca_mini_v3_13b",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 13.0
-    }
-  },
-  "evaluation_results": [
-    {
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-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
-        "score": 0.28966253983873896
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-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
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-        "score_type": "continuous",
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-      "evaluation_name": "MATH Level 5",
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-        "lower_is_better": false,
-        "score_type": "continuous",
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2651006711409396
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.45979166666666665
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-      }
-    }
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-}
diff --git a/data/hfopenllm_v2/pankajmathur/orca_mini_v3_70b/74c6bea7-ad16-4f08-a2b7-9c894b9ce207.json b/data/hfopenllm_v2/pankajmathur/orca_mini_v3_70b/74c6bea7-ad16-4f08-a2b7-9c894b9ce207.json
new file mode 100644
index 000000000..39384845f
--- /dev/null
+++ b/data/hfopenllm_v2/pankajmathur/orca_mini_v3_70b/74c6bea7-ad16-4f08-a2b7-9c894b9ce207.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/pankajmathur_orca_mini_v3_70b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "orca_mini_v3_70b",
+    "id": "pankajmathur/orca_mini_v3_70b",
+    "developer": "pankajmathur",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 70.0
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4015
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5949
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0385
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.318
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5079
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3757
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/pankajmathur/orca_mini_v3_70b/beae9826-35b2-4758-a20a-10c8402daa42.json b/data/hfopenllm_v2/pankajmathur/orca_mini_v3_70b/beae9826-35b2-4758-a20a-10c8402daa42.json
deleted file mode 100644
index b410acb5f..000000000
--- a/data/hfopenllm_v2/pankajmathur/orca_mini_v3_70b/beae9826-35b2-4758-a20a-10c8402daa42.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/pankajmathur_orca_mini_v3_70b/1762652580.43598",
-  "retrieved_timestamp": "1762652580.435981",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "pankajmathur/orca_mini_v3_70b",
-    "developer": "pankajmathur",
-    "inference_platform": "unknown",
-    "id": "pankajmathur/orca_mini_v3_70b",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 70.0
-    }
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-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
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-        "min_score": 0,
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-    },
-    {
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-        "lower_is_better": false,
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-      "score_details": {
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-    {
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-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3757480053191489
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/pankajmathur/orca_mini_v3_7b/69cb8c68-5847-48f0-b2bd-0756ec761837.json b/data/hfopenllm_v2/pankajmathur/orca_mini_v3_7b/69cb8c68-5847-48f0-b2bd-0756ec761837.json
deleted file mode 100644
index 0d5a0b0d9..000000000
--- a/data/hfopenllm_v2/pankajmathur/orca_mini_v3_7b/69cb8c68-5847-48f0-b2bd-0756ec761837.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/pankajmathur_orca_mini_v3_7b/1762652580.436181",
-  "retrieved_timestamp": "1762652580.436182",
-  "source_data": [
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-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
-    "name": "pankajmathur/orca_mini_v3_7b",
-    "developer": "pankajmathur",
-    "inference_platform": "unknown",
-    "id": "pankajmathur/orca_mini_v3_7b",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 7.0
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-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
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-        "score_type": "continuous",
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-    {
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-        "evaluation_description": "Accuracy on BBH",
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-        "score_type": "continuous",
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-        "max_score": 1
-      },
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-    {
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-    {
-      "evaluation_name": "MMLU-PRO",
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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diff --git a/data/hfopenllm_v2/pankajmathur/orca_mini_v3_7b/b5e97b2d-d8a2-485a-8b0a-71590e4a376e.json b/data/hfopenllm_v2/pankajmathur/orca_mini_v3_7b/b5e97b2d-d8a2-485a-8b0a-71590e4a376e.json
new file mode 100644
index 000000000..33c79ebe0
--- /dev/null
+++ b/data/hfopenllm_v2/pankajmathur/orca_mini_v3_7b/b5e97b2d-d8a2-485a-8b0a-71590e4a376e.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/pankajmathur_orca_mini_v3_7b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "orca_mini_v3_7b",
+    "id": "pankajmathur/orca_mini_v3_7b",
+    "developer": "pankajmathur",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 7.0
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2821
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+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4095
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+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0106
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+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2466
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4982
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2084
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/pankajmathur/orca_mini_v5_8b/12a231e0-deed-4d2b-9904-79a8b543d200.json b/data/hfopenllm_v2/pankajmathur/orca_mini_v5_8b/12a231e0-deed-4d2b-9904-79a8b543d200.json
deleted file mode 100644
index c32177943..000000000
--- a/data/hfopenllm_v2/pankajmathur/orca_mini_v5_8b/12a231e0-deed-4d2b-9904-79a8b543d200.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/pankajmathur_orca_mini_v5_8b/1762652580.436376",
-  "retrieved_timestamp": "1762652580.436377",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "pankajmathur/orca_mini_v5_8b",
-    "developer": "pankajmathur",
-    "inference_platform": "unknown",
-    "id": "pankajmathur/orca_mini_v5_8b",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.48060479527653294
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5064242853619262
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.09894259818731117
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.28691275167785235
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4000104166666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3075964095744681
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/pankajmathur/orca_mini_v5_8b/e79d0a8c-caec-4dec-b119-3229ffa69a73.json b/data/hfopenllm_v2/pankajmathur/orca_mini_v5_8b/e79d0a8c-caec-4dec-b119-3229ffa69a73.json
new file mode 100644
index 000000000..73bf37a29
--- /dev/null
+++ b/data/hfopenllm_v2/pankajmathur/orca_mini_v5_8b/e79d0a8c-caec-4dec-b119-3229ffa69a73.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/pankajmathur_orca_mini_v5_8b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "orca_mini_v5_8b",
+    "id": "pankajmathur/orca_mini_v5_8b",
+    "developer": "pankajmathur",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4806
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5064
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0989
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2869
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3076
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/pankajmathur/orca_mini_v5_8b_dpo/1dad9bda-fbc8-499b-aab0-29be59b6921d.json b/data/hfopenllm_v2/pankajmathur/orca_mini_v5_8b_dpo/1dad9bda-fbc8-499b-aab0-29be59b6921d.json
deleted file mode 100644
index 3c6d2bd7a..000000000
--- a/data/hfopenllm_v2/pankajmathur/orca_mini_v5_8b_dpo/1dad9bda-fbc8-499b-aab0-29be59b6921d.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/pankajmathur_orca_mini_v5_8b_dpo/1762652580.436573",
-  "retrieved_timestamp": "1762652580.436574",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "pankajmathur/orca_mini_v5_8b_dpo",
-    "developer": "pankajmathur",
-    "inference_platform": "unknown",
-    "id": "pankajmathur/orca_mini_v5_8b_dpo",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.0
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.48964746871633935
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5074598658862709
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.09743202416918428
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.27432885906040266
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.389375
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.31158577127659576
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/pankajmathur/orca_mini_v5_8b_dpo/2c760893-b52a-40a9-9420-fb193a62a5c3.json b/data/hfopenllm_v2/pankajmathur/orca_mini_v5_8b_dpo/2c760893-b52a-40a9-9420-fb193a62a5c3.json
new file mode 100644
index 000000000..1fb80ed95
--- /dev/null
+++ b/data/hfopenllm_v2/pankajmathur/orca_mini_v5_8b_dpo/2c760893-b52a-40a9-9420-fb193a62a5c3.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/pankajmathur_orca_mini_v5_8b_dpo/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "orca_mini_v5_8b_dpo",
+    "id": "pankajmathur/orca_mini_v5_8b_dpo",
+    "developer": "pankajmathur",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.0
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4896
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5075
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0974
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2743
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3894
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3116
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/pankajmathur/orca_mini_v5_8b_orpo/cf3f79fc-1fe2-4b55-a808-5664cc1f1809.json b/data/hfopenllm_v2/pankajmathur/orca_mini_v5_8b_orpo/cf3f79fc-1fe2-4b55-a808-5664cc1f1809.json
deleted file mode 100644
index 11c1acb75..000000000
--- a/data/hfopenllm_v2/pankajmathur/orca_mini_v5_8b_orpo/cf3f79fc-1fe2-4b55-a808-5664cc1f1809.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/pankajmathur_orca_mini_v5_8b_orpo/1762652580.436766",
-  "retrieved_timestamp": "1762652580.4367669",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "pankajmathur/orca_mini_v5_8b_orpo",
-    "developer": "pankajmathur",
-    "inference_platform": "unknown",
-    "id": "pankajmathur/orca_mini_v5_8b_orpo",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.0
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.08243239050164675
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.496374377369289
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.06646525679758308
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.28439597315436244
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41312499999999996
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2947140957446808
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/pankajmathur/orca_mini_v5_8b_orpo/ef9b84e0-68b0-4caa-9980-96ea5e7f440b.json b/data/hfopenllm_v2/pankajmathur/orca_mini_v5_8b_orpo/ef9b84e0-68b0-4caa-9980-96ea5e7f440b.json
new file mode 100644
index 000000000..b10b829f3
--- /dev/null
+++ b/data/hfopenllm_v2/pankajmathur/orca_mini_v5_8b_orpo/ef9b84e0-68b0-4caa-9980-96ea5e7f440b.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/pankajmathur_orca_mini_v5_8b_orpo/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "orca_mini_v5_8b_orpo",
+    "id": "pankajmathur/orca_mini_v5_8b_orpo",
+    "developer": "pankajmathur",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.0
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0824
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4964
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
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+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2844
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4131
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2947
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/pankajmathur/orca_mini_v6_8b/e45a0914-baee-4fd4-a231-3495b18db9a9.json b/data/hfopenllm_v2/pankajmathur/orca_mini_v6_8b/e45a0914-baee-4fd4-a231-3495b18db9a9.json
deleted file mode 100644
index a13b3369a..000000000
--- a/data/hfopenllm_v2/pankajmathur/orca_mini_v6_8b/e45a0914-baee-4fd4-a231-3495b18db9a9.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/pankajmathur_orca_mini_v6_8b/1762652580.436963",
-  "retrieved_timestamp": "1762652580.436963",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "pankajmathur/orca_mini_v6_8b",
-    "developer": "pankajmathur",
-    "inference_platform": "unknown",
-    "id": "pankajmathur/orca_mini_v6_8b",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.011116060940526692
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-      "score_details": {
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-    },
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-        "lower_is_better": false,
-        "score_type": "continuous",
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-        "max_score": 1
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-      "score_details": {
-        "score": 0.23825503355704697
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3554583333333334
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1124501329787234
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/pankajmathur/orca_mini_v6_8b/fb48aff8-3f6b-4934-9fb8-d72bf8614d6f.json b/data/hfopenllm_v2/pankajmathur/orca_mini_v6_8b/fb48aff8-3f6b-4934-9fb8-d72bf8614d6f.json
new file mode 100644
index 000000000..0c0674af7
--- /dev/null
+++ b/data/hfopenllm_v2/pankajmathur/orca_mini_v6_8b/fb48aff8-3f6b-4934-9fb8-d72bf8614d6f.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/pankajmathur_orca_mini_v6_8b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "orca_mini_v6_8b",
+    "id": "pankajmathur/orca_mini_v6_8b",
+    "developer": "pankajmathur",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0111
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3029
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0038
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2383
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3555
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1125
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/pankajmathur/orca_mini_v6_8b_dpo/3e875ab6-6065-4400-8038-0fe6437f44d5.json b/data/hfopenllm_v2/pankajmathur/orca_mini_v6_8b_dpo/3e875ab6-6065-4400-8038-0fe6437f44d5.json
deleted file mode 100644
index d078494cc..000000000
--- a/data/hfopenllm_v2/pankajmathur/orca_mini_v6_8b_dpo/3e875ab6-6065-4400-8038-0fe6437f44d5.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/pankajmathur_orca_mini_v6_8b_dpo/1762652580.43716",
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-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "pankajmathur/orca_mini_v6_8b_dpo",
-    "developer": "pankajmathur",
-    "inference_platform": "unknown",
-    "id": "pankajmathur/orca_mini_v6_8b_dpo",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.0
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
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-        "min_score": 0,
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-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-      },
-      "score_details": {
-        "score": 0.06117824773413897
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3011744966442953
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.40903125
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.359624335106383
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/pankajmathur/orca_mini_v6_8b_dpo/9450acd9-16b6-49a2-9b73-cf1161b96df3.json b/data/hfopenllm_v2/pankajmathur/orca_mini_v6_8b_dpo/9450acd9-16b6-49a2-9b73-cf1161b96df3.json
new file mode 100644
index 000000000..92b4ebda8
--- /dev/null
+++ b/data/hfopenllm_v2/pankajmathur/orca_mini_v6_8b_dpo/9450acd9-16b6-49a2-9b73-cf1161b96df3.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/pankajmathur_orca_mini_v6_8b_dpo/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "orca_mini_v6_8b_dpo",
+    "id": "pankajmathur/orca_mini_v6_8b_dpo",
+    "developer": "pankajmathur",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.0
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3883
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5203
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0612
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3012
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.409
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3596
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/pankajmathur/orca_mini_v7_72b/0d50ec2d-5dd4-487e-80cb-9533246a9876.json b/data/hfopenllm_v2/pankajmathur/orca_mini_v7_72b/0d50ec2d-5dd4-487e-80cb-9533246a9876.json
new file mode 100644
index 000000000..475ec2f73
--- /dev/null
+++ b/data/hfopenllm_v2/pankajmathur/orca_mini_v7_72b/0d50ec2d-5dd4-487e-80cb-9533246a9876.json
@@ -0,0 +1,132 @@
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+  "model_info": {
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+        "score_type": "continuous",
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+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6842
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "max_score": 1.0
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
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+        "max_score": 1.0
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
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+      },
+      "score_details": {
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+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/pankajmathur/orca_mini_v7_72b/702f1485-2941-4e27-9c96-11cee2449df8.json b/data/hfopenllm_v2/pankajmathur/orca_mini_v7_72b/702f1485-2941-4e27-9c96-11cee2449df8.json
deleted file mode 100644
index 47a554eee..000000000
--- a/data/hfopenllm_v2/pankajmathur/orca_mini_v7_72b/702f1485-2941-4e27-9c96-11cee2449df8.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/pankajmathur/orca_mini_v7_7b/f6e6827d-fbf8-49cd-bdad-e8c7ea87550a.json b/data/hfopenllm_v2/pankajmathur/orca_mini_v7_7b/f6e6827d-fbf8-49cd-bdad-e8c7ea87550a.json
new file mode 100644
index 000000000..7c8b93f98
--- /dev/null
+++ b/data/hfopenllm_v2/pankajmathur/orca_mini_v7_7b/f6e6827d-fbf8-49cd-bdad-e8c7ea87550a.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/pankajmathur_orca_mini_v7_7b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "orca_mini_v7_7b",
+    "id": "pankajmathur/orca_mini_v7_7b",
+    "developer": "pankajmathur",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4388
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5275
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1208
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2961
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.436
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4167
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/pankajmathur/orca_mini_v7_7b/f801b633-5767-4b74-a0db-e474c9349820.json b/data/hfopenllm_v2/pankajmathur/orca_mini_v7_7b/f801b633-5767-4b74-a0db-e474c9349820.json
deleted file mode 100644
index 53a0e149c..000000000
--- a/data/hfopenllm_v2/pankajmathur/orca_mini_v7_7b/f801b633-5767-4b74-a0db-e474c9349820.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-        "max_score": 1
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-}
diff --git a/data/hfopenllm_v2/pankajmathur/orca_mini_v8_1_70b/02201ae1-ec65-496c-bfdb-0dec8aa5308d.json b/data/hfopenllm_v2/pankajmathur/orca_mini_v8_1_70b/02201ae1-ec65-496c-bfdb-0dec8aa5308d.json
deleted file mode 100644
index f99db7923..000000000
--- a/data/hfopenllm_v2/pankajmathur/orca_mini_v8_1_70b/02201ae1-ec65-496c-bfdb-0dec8aa5308d.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/pankajmathur/orca_mini_v8_1_70b/c5e48fd8-0eea-46a9-8790-1745923561d3.json b/data/hfopenllm_v2/pankajmathur/orca_mini_v8_1_70b/c5e48fd8-0eea-46a9-8790-1745923561d3.json
new file mode 100644
index 000000000..2d067df48
--- /dev/null
+++ b/data/hfopenllm_v2/pankajmathur/orca_mini_v8_1_70b/c5e48fd8-0eea-46a9-8790-1745923561d3.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/pankajmathur_orca_mini_v8_1_70b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "orca_mini_v8_1_70b",
+    "id": "pankajmathur/orca_mini_v8_1_70b",
+    "developer": "pankajmathur",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 70.554
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+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/pankajmathur/orca_mini_v9_0_3B-Instruct/870c7739-8886-47df-8e20-09bfae03b9c5.json b/data/hfopenllm_v2/pankajmathur/orca_mini_v9_0_3B-Instruct/870c7739-8886-47df-8e20-09bfae03b9c5.json
new file mode 100644
index 000000000..1af69e1fb
--- /dev/null
+++ b/data/hfopenllm_v2/pankajmathur/orca_mini_v9_0_3B-Instruct/870c7739-8886-47df-8e20-09bfae03b9c5.json
@@ -0,0 +1,132 @@
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+  "source_metadata": {
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+    "id": "pankajmathur/orca_mini_v9_0_3B-Instruct",
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+    "inference_platform": "unknown",
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/pankajmathur/orca_mini_v9_0_3B-Instruct/bc38a266-c3bd-4ecf-8149-6b26bb32803b.json b/data/hfopenllm_v2/pankajmathur/orca_mini_v9_0_3B-Instruct/bc38a266-c3bd-4ecf-8149-6b26bb32803b.json
deleted file mode 100644
index 8a2391905..000000000
--- a/data/hfopenllm_v2/pankajmathur/orca_mini_v9_0_3B-Instruct/bc38a266-c3bd-4ecf-8149-6b26bb32803b.json
+++ /dev/null
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diff --git a/data/hfopenllm_v2/pankajmathur/orca_mini_v9_1_1B-Instruct/65d0aca2-06ae-4a09-9fb2-2bb54939a554.json b/data/hfopenllm_v2/pankajmathur/orca_mini_v9_1_1B-Instruct/65d0aca2-06ae-4a09-9fb2-2bb54939a554.json
deleted file mode 100644
index 1c2b08550..000000000
--- a/data/hfopenllm_v2/pankajmathur/orca_mini_v9_1_1B-Instruct/65d0aca2-06ae-4a09-9fb2-2bb54939a554.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/pankajmathur/orca_mini_v9_1_1B-Instruct/d8eb5fd1-f1d4-481d-85af-88a11d7b6f6f.json b/data/hfopenllm_v2/pankajmathur/orca_mini_v9_1_1B-Instruct/d8eb5fd1-f1d4-481d-85af-88a11d7b6f6f.json
new file mode 100644
index 000000000..fd6a47751
--- /dev/null
+++ b/data/hfopenllm_v2/pankajmathur/orca_mini_v9_1_1B-Instruct/d8eb5fd1-f1d4-481d-85af-88a11d7b6f6f.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/pankajmathur_orca_mini_v9_1_1B-Instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "orca_mini_v9_1_1B-Instruct",
+    "id": "pankajmathur/orca_mini_v9_1_1B-Instruct",
+    "developer": "pankajmathur",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 1.236
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
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+        "score_type": "continuous",
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+        "max_score": 1.0
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "max_score": 1.0
+      },
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+    },
+    {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
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+        "evaluation_description": "Exact Match on MATH Level 5",
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+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2567
+      }
+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "max_score": 1.0
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+      "score_details": {
+        "score": 0.3381
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
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+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1374
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+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/pankajmathur/orca_mini_v9_2_14B/6625b2e0-1f65-4dc5-9913-ceb0e82e6439.json b/data/hfopenllm_v2/pankajmathur/orca_mini_v9_2_14B/6625b2e0-1f65-4dc5-9913-ceb0e82e6439.json
new file mode 100644
index 000000000..a42075775
--- /dev/null
+++ b/data/hfopenllm_v2/pankajmathur/orca_mini_v9_2_14B/6625b2e0-1f65-4dc5-9913-ceb0e82e6439.json
@@ -0,0 +1,132 @@
+{
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+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
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+  "model_info": {
+    "name": "orca_mini_v9_2_14B",
+    "id": "pankajmathur/orca_mini_v9_2_14B",
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+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6856
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2953
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3742
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4703
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5255
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/pankajmathur/orca_mini_v9_2_14B/e10e45b8-0d37-4905-9ebf-acc7922b7ea3.json b/data/hfopenllm_v2/pankajmathur/orca_mini_v9_2_14B/e10e45b8-0d37-4905-9ebf-acc7922b7ea3.json
deleted file mode 100644
index ecbf43cd9..000000000
--- a/data/hfopenllm_v2/pankajmathur/orca_mini_v9_2_14B/e10e45b8-0d37-4905-9ebf-acc7922b7ea3.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/pankajmathur_orca_mini_v9_2_14B/1762652580.438377",
-  "retrieved_timestamp": "1762652580.438378",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "pankajmathur/orca_mini_v9_2_14B",
-    "developer": "pankajmathur",
-    "inference_platform": "unknown",
-    "id": "pankajmathur/orca_mini_v9_2_14B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 14.66
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7780588837617521
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6856329737542378
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.29531722054380666
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37416107382550334
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.47030208333333334
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5255152925531915
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/pankajmathur/orca_mini_v9_2_70b/24e7df20-e046-48f7-909e-502d0c70216a.json b/data/hfopenllm_v2/pankajmathur/orca_mini_v9_2_70b/24e7df20-e046-48f7-909e-502d0c70216a.json
new file mode 100644
index 000000000..7a7d9e13a
--- /dev/null
+++ b/data/hfopenllm_v2/pankajmathur/orca_mini_v9_2_70b/24e7df20-e046-48f7-909e-502d0c70216a.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/pankajmathur_orca_mini_v9_2_70b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "orca_mini_v9_2_70b",
+    "id": "pankajmathur/orca_mini_v9_2_70b",
+    "developer": "pankajmathur",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 70.554
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.8383
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6745
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2938
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3733
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.471
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4821
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/pankajmathur/orca_mini_v9_2_70b/69093327-3726-469d-9750-b9fa39423310.json b/data/hfopenllm_v2/pankajmathur/orca_mini_v9_2_70b/69093327-3726-469d-9750-b9fa39423310.json
deleted file mode 100644
index 22553e8d4..000000000
--- a/data/hfopenllm_v2/pankajmathur/orca_mini_v9_2_70b/69093327-3726-469d-9750-b9fa39423310.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/pankajmathur_orca_mini_v9_2_70b/1762652580.438577",
-  "retrieved_timestamp": "1762652580.438578",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "pankajmathur/orca_mini_v9_2_70b",
-    "developer": "pankajmathur",
-    "inference_platform": "unknown",
-    "id": "pankajmathur/orca_mini_v9_2_70b",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 70.554
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.8382591523823455
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6744868732778627
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2938066465256798
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3733221476510067
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.47098958333333335
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.48213098404255317
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/pankajmathur/orca_mini_v9_4_70B/7920f562-9e7f-4a64-85f4-584b13af44de.json b/data/hfopenllm_v2/pankajmathur/orca_mini_v9_4_70B/7920f562-9e7f-4a64-85f4-584b13af44de.json
new file mode 100644
index 000000000..2d1a1c562
--- /dev/null
+++ b/data/hfopenllm_v2/pankajmathur/orca_mini_v9_4_70B/7920f562-9e7f-4a64-85f4-584b13af44de.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/pankajmathur_orca_mini_v9_4_70B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "orca_mini_v9_4_70B",
+    "id": "pankajmathur/orca_mini_v9_4_70B",
+    "developer": "pankajmathur",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 70.554
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.8015
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6419
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3263
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3658
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4647
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4536
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/pankajmathur/orca_mini_v9_4_70B/e3746ac6-3ee4-4d95-b800-509bed07aec3.json b/data/hfopenllm_v2/pankajmathur/orca_mini_v9_4_70B/e3746ac6-3ee4-4d95-b800-509bed07aec3.json
deleted file mode 100644
index 5d036382f..000000000
--- a/data/hfopenllm_v2/pankajmathur/orca_mini_v9_4_70B/e3746ac6-3ee4-4d95-b800-509bed07aec3.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/pankajmathur_orca_mini_v9_4_70B/1762652580.438774",
-  "retrieved_timestamp": "1762652580.438774",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "pankajmathur/orca_mini_v9_4_70B",
-    "developer": "pankajmathur",
-    "inference_platform": "unknown",
-    "id": "pankajmathur/orca_mini_v9_4_70B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 70.554
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.8014645584826039
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6418899297276105
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
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deleted file mode 100644
index c1bed4a49..000000000
--- a/data/hfopenllm_v2/pankajmathur/orca_mini_v9_5_1B-Instruct/2f2f821b-037b-4f3f-87f6-16703c0dc61a.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/pankajmathur/orca_mini_v9_5_1B-Instruct/c6620817-69fe-40e2-bb0a-1e9c739ab65d.json b/data/hfopenllm_v2/pankajmathur/orca_mini_v9_5_1B-Instruct/c6620817-69fe-40e2-bb0a-1e9c739ab65d.json
new file mode 100644
index 000000000..e8976fd6e
--- /dev/null
+++ b/data/hfopenllm_v2/pankajmathur/orca_mini_v9_5_1B-Instruct/c6620817-69fe-40e2-bb0a-1e9c739ab65d.json
@@ -0,0 +1,132 @@
+{
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+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
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+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "orca_mini_v9_5_1B-Instruct",
+    "id": "pankajmathur/orca_mini_v9_5_1B-Instruct",
+    "developer": "pankajmathur",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 1.236
+    }
+  },
+  "evaluation_results": [
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
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+      },
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+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
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+        "max_score": 1.0
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+    {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
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+        "max_score": 1.0
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+      },
+      "metric_config": {
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+        "max_score": 1.0
+      },
+      "score_details": {
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+    {
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+        "hf_repo": "TAUR-Lab/MuSR"
+      },
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+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3182
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+    },
+    {
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+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "max_score": 1.0
+      },
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/pankajmathur/orca_mini_v9_5_1B-Instruct_preview/520e2d66-4143-493b-8533-64f86c6d676e.json b/data/hfopenllm_v2/pankajmathur/orca_mini_v9_5_1B-Instruct_preview/520e2d66-4143-493b-8533-64f86c6d676e.json
new file mode 100644
index 000000000..ede7abcd5
--- /dev/null
+++ b/data/hfopenllm_v2/pankajmathur/orca_mini_v9_5_1B-Instruct_preview/520e2d66-4143-493b-8533-64f86c6d676e.json
@@ -0,0 +1,132 @@
+{
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+  "evaluation_id": "hfopenllm_v2/pankajmathur_orca_mini_v9_5_1B-Instruct_preview/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "orca_mini_v9_5_1B-Instruct_preview",
+    "id": "pankajmathur/orca_mini_v9_5_1B-Instruct_preview",
+    "developer": "pankajmathur",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 1.236
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "max_score": 1.0
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+    },
+    {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
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+        "max_score": 1.0
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+    },
+    {
+      "evaluation_name": "GPQA",
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+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
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+      },
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+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/pankajmathur/orca_mini_v9_5_1B-Instruct_preview/7836190d-33df-45c2-b020-8ccec01de1f3.json b/data/hfopenllm_v2/pankajmathur/orca_mini_v9_5_1B-Instruct_preview/7836190d-33df-45c2-b020-8ccec01de1f3.json
deleted file mode 100644
index d5c464f76..000000000
--- a/data/hfopenllm_v2/pankajmathur/orca_mini_v9_5_1B-Instruct_preview/7836190d-33df-45c2-b020-8ccec01de1f3.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/pankajmathur/orca_mini_v9_5_3B-Instruct/2ff28335-81a0-4d61-b221-a7edb877da4a.json b/data/hfopenllm_v2/pankajmathur/orca_mini_v9_5_3B-Instruct/2ff28335-81a0-4d61-b221-a7edb877da4a.json
deleted file mode 100644
index 099be93b4..000000000
--- a/data/hfopenllm_v2/pankajmathur/orca_mini_v9_5_3B-Instruct/2ff28335-81a0-4d61-b221-a7edb877da4a.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/pankajmathur/orca_mini_v9_5_3B-Instruct/993bdfd2-3a88-4de3-9ed9-9b7b63c0f4f5.json b/data/hfopenllm_v2/pankajmathur/orca_mini_v9_5_3B-Instruct/993bdfd2-3a88-4de3-9ed9-9b7b63c0f4f5.json
new file mode 100644
index 000000000..067bf5772
--- /dev/null
+++ b/data/hfopenllm_v2/pankajmathur/orca_mini_v9_5_3B-Instruct/993bdfd2-3a88-4de3-9ed9-9b7b63c0f4f5.json
@@ -0,0 +1,132 @@
+{
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+  "evaluation_id": "hfopenllm_v2/pankajmathur_orca_mini_v9_5_3B-Instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "orca_mini_v9_5_3B-Instruct",
+    "id": "pankajmathur/orca_mini_v9_5_3B-Instruct",
+    "developer": "pankajmathur",
+    "inference_platform": "unknown",
+    "additional_details": {
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+      "architecture": "LlamaForCausalLM",
+      "params_billions": 3.213
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+    {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+    },
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
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+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "max_score": 1.0
+      },
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+      }
+    },
+    {
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+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
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+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
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+        "max_score": 1.0
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
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+        "max_score": 1.0
+      },
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+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/pankajmathur/orca_mini_v9_6_1B-Instruct/332f06db-35f1-4759-b3f8-973b1fe6fb9e.json b/data/hfopenllm_v2/pankajmathur/orca_mini_v9_6_1B-Instruct/332f06db-35f1-4759-b3f8-973b1fe6fb9e.json
deleted file mode 100644
index 5f8b2a450..000000000
--- a/data/hfopenllm_v2/pankajmathur/orca_mini_v9_6_1B-Instruct/332f06db-35f1-4759-b3f8-973b1fe6fb9e.json
+++ /dev/null
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-    "source_name": "HF Open LLM v2",
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diff --git a/data/hfopenllm_v2/pankajmathur/orca_mini_v9_6_1B-Instruct/4e1be694-cc4d-4943-a8e4-74913cfb2ebe.json b/data/hfopenllm_v2/pankajmathur/orca_mini_v9_6_1B-Instruct/4e1be694-cc4d-4943-a8e4-74913cfb2ebe.json
new file mode 100644
index 000000000..6331cdee7
--- /dev/null
+++ b/data/hfopenllm_v2/pankajmathur/orca_mini_v9_6_1B-Instruct/4e1be694-cc4d-4943-a8e4-74913cfb2ebe.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/pankajmathur_orca_mini_v9_6_1B-Instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "orca_mini_v9_6_1B-Instruct",
+    "id": "pankajmathur/orca_mini_v9_6_1B-Instruct",
+    "developer": "pankajmathur",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 1.236
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+      }
+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
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+      },
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+    },
+    {
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+    },
+    {
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+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
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+      },
+      "score_details": {
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+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/pankajmathur/orca_mini_v9_6_3B-Instruct/1cc45753-aeed-4804-a6da-413437dbb940.json b/data/hfopenllm_v2/pankajmathur/orca_mini_v9_6_3B-Instruct/1cc45753-aeed-4804-a6da-413437dbb940.json
deleted file mode 100644
index 737e5533a..000000000
--- a/data/hfopenllm_v2/pankajmathur/orca_mini_v9_6_3B-Instruct/1cc45753-aeed-4804-a6da-413437dbb940.json
+++ /dev/null
@@ -1,105 +0,0 @@
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-        "min_score": 0,
-        "max_score": 1
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diff --git a/data/hfopenllm_v2/pankajmathur/orca_mini_v9_6_3B-Instruct/42c174d1-6211-4438-bb9a-24f3cf386a6d.json b/data/hfopenllm_v2/pankajmathur/orca_mini_v9_6_3B-Instruct/42c174d1-6211-4438-bb9a-24f3cf386a6d.json
new file mode 100644
index 000000000..4727738e9
--- /dev/null
+++ b/data/hfopenllm_v2/pankajmathur/orca_mini_v9_6_3B-Instruct/42c174d1-6211-4438-bb9a-24f3cf386a6d.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/pankajmathur_orca_mini_v9_6_3B-Instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "orca_mini_v9_6_3B-Instruct",
+    "id": "pankajmathur/orca_mini_v9_6_3B-Instruct",
+    "developer": "pankajmathur",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
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+  },
+  "evaluation_results": [
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
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+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+    },
+    {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
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+      "metric_config": {
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+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
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+    },
+    {
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+        "hf_repo": "TAUR-Lab/MuSR"
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+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
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+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+    },
+    {
+      "evaluation_name": "MMLU-PRO",
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+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
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+        "lower_is_better": false,
+        "score_type": "continuous",
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/pankajmathur/orca_mini_v9_7_1B-Instruct/625bf39b-a118-4ec6-82d0-5405cf70ba53.json b/data/hfopenllm_v2/pankajmathur/orca_mini_v9_7_1B-Instruct/625bf39b-a118-4ec6-82d0-5405cf70ba53.json
new file mode 100644
index 000000000..ad5c217d2
--- /dev/null
+++ b/data/hfopenllm_v2/pankajmathur/orca_mini_v9_7_1B-Instruct/625bf39b-a118-4ec6-82d0-5405cf70ba53.json
@@ -0,0 +1,132 @@
+{
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+  "evaluation_id": "hfopenllm_v2/pankajmathur_orca_mini_v9_7_1B-Instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "orca_mini_v9_7_1B-Instruct",
+    "id": "pankajmathur/orca_mini_v9_7_1B-Instruct",
+    "developer": "pankajmathur",
+    "inference_platform": "unknown",
+    "additional_details": {
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+    }
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+        "source_type": "hf_dataset",
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+        "score_type": "continuous",
+        "min_score": 0.0,
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+      }
+    },
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
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+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
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+        "score_type": "continuous",
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+      },
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+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+    {
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+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
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+        "max_score": 1.0
+      },
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+        "score": 0.1345
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/pankajmathur/orca_mini_v9_7_1B-Instruct/fad200e0-05bb-42d7-b7f3-caba938ca09d.json b/data/hfopenllm_v2/pankajmathur/orca_mini_v9_7_1B-Instruct/fad200e0-05bb-42d7-b7f3-caba938ca09d.json
deleted file mode 100644
index f288188c1..000000000
--- a/data/hfopenllm_v2/pankajmathur/orca_mini_v9_7_1B-Instruct/fad200e0-05bb-42d7-b7f3-caba938ca09d.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "model_info": {
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diff --git a/data/hfopenllm_v2/pankajmathur/orca_mini_v9_7_3B-Instruct/42a8b694-ef8f-47d2-8da3-e4db453641b3.json b/data/hfopenllm_v2/pankajmathur/orca_mini_v9_7_3B-Instruct/42a8b694-ef8f-47d2-8da3-e4db453641b3.json
deleted file mode 100644
index 5c859fbf0..000000000
--- a/data/hfopenllm_v2/pankajmathur/orca_mini_v9_7_3B-Instruct/42a8b694-ef8f-47d2-8da3-e4db453641b3.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-    "source_type": "documentation"
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-  "model_info": {
-    "name": "pankajmathur/orca_mini_v9_7_3B-Instruct",
-    "developer": "pankajmathur",
-    "inference_platform": "unknown",
-    "id": "pankajmathur/orca_mini_v9_7_3B-Instruct",
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diff --git a/data/hfopenllm_v2/pankajmathur/orca_mini_v9_7_3B-Instruct/e09cb198-d259-42ea-a356-6efe61b1e12b.json b/data/hfopenllm_v2/pankajmathur/orca_mini_v9_7_3B-Instruct/e09cb198-d259-42ea-a356-6efe61b1e12b.json
new file mode 100644
index 000000000..57b5c8eb9
--- /dev/null
+++ b/data/hfopenllm_v2/pankajmathur/orca_mini_v9_7_3B-Instruct/e09cb198-d259-42ea-a356-6efe61b1e12b.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/pankajmathur_orca_mini_v9_7_3B-Instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "orca_mini_v9_7_3B-Instruct",
+    "id": "pankajmathur/orca_mini_v9_7_3B-Instruct",
+    "developer": "pankajmathur",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 3.213
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
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+      },
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+    },
+    {
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+      "source_data": {
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+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2617
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3619
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+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1375
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+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/paulml/ECE-ILAB-Q1/5838b130-c2e6-400c-80b7-6822efb5db2c.json b/data/hfopenllm_v2/paulml/ECE-ILAB-Q1/5838b130-c2e6-400c-80b7-6822efb5db2c.json
new file mode 100644
index 000000000..4666ebf13
--- /dev/null
+++ b/data/hfopenllm_v2/paulml/ECE-ILAB-Q1/5838b130-c2e6-400c-80b7-6822efb5db2c.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/paulml_ECE-ILAB-Q1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "ECE-ILAB-Q1",
+    "id": "paulml/ECE-ILAB-Q1",
+    "developer": "paulml",
+    "inference_platform": "unknown",
+    "additional_details": {
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+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 72.706
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+  },
+  "evaluation_results": [
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+      },
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+        "lower_is_better": false,
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+      },
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+    },
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+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
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+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+    },
+    {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "hf_repo": "Idavidrein/gpqa"
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+        "evaluation_description": "Accuracy on GPQA",
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+    {
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+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
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+        "score_type": "continuous",
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+        "max_score": 1.0
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+      "score_details": {
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+    },
+    {
+      "evaluation_name": "MMLU-PRO",
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
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+        "max_score": 1.0
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+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/paulml/ECE-ILAB-Q1/83024ec4-e4a4-4dd3-adf4-654c90c3a271.json b/data/hfopenllm_v2/paulml/ECE-ILAB-Q1/83024ec4-e4a4-4dd3-adf4-654c90c3a271.json
deleted file mode 100644
index 440f2b303..000000000
--- a/data/hfopenllm_v2/paulml/ECE-ILAB-Q1/83024ec4-e4a4-4dd3-adf4-654c90c3a271.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/paulml_ECE-ILAB-Q1/1762652580.440484",
-  "retrieved_timestamp": "1762652580.440484",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "paulml/ECE-ILAB-Q1",
-    "developer": "paulml",
-    "inference_platform": "unknown",
-    "id": "paulml/ECE-ILAB-Q1",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 72.706
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7864521691334547
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6717755530661759
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3557401812688822
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.38674496644295303
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.46137500000000004
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.550531914893617
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/pints-ai/1.5-Pints-16K-v0.1/52b51638-64cd-4b19-8fc7-c223d50bc549.json b/data/hfopenllm_v2/pints-ai/1.5-Pints-16K-v0.1/52b51638-64cd-4b19-8fc7-c223d50bc549.json
new file mode 100644
index 000000000..e89688fb3
--- /dev/null
+++ b/data/hfopenllm_v2/pints-ai/1.5-Pints-16K-v0.1/52b51638-64cd-4b19-8fc7-c223d50bc549.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/pints-ai_1.5-Pints-16K-v0.1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "1.5-Pints-16K-v0.1",
+    "id": "pints-ai/1.5-Pints-16K-v0.1",
+    "developer": "pints-ai",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 1.566
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1636
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3133
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0144
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2357
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3579
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1119
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/pints-ai/1.5-Pints-16K-v0.1/8dff3ec1-066f-4f5f-ac57-879d693ee3fb.json b/data/hfopenllm_v2/pints-ai/1.5-Pints-16K-v0.1/8dff3ec1-066f-4f5f-ac57-879d693ee3fb.json
deleted file mode 100644
index c46aa9a03..000000000
--- a/data/hfopenllm_v2/pints-ai/1.5-Pints-16K-v0.1/8dff3ec1-066f-4f5f-ac57-879d693ee3fb.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/pints-ai_1.5-Pints-16K-v0.1/1762652580.4407208",
-  "retrieved_timestamp": "1762652580.440722",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "pints-ai/1.5-Pints-16K-v0.1",
-    "developer": "pints-ai",
-    "inference_platform": "unknown",
-    "id": "pints-ai/1.5-Pints-16K-v0.1",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 1.566
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1635914927946737
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3133077677150869
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.014350453172205438
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.23573825503355705
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.357875
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1118683510638298
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/pints-ai/1.5-Pints-2K-v0.1/28b3178b-c963-4267-9649-3f7fc10fba3c.json b/data/hfopenllm_v2/pints-ai/1.5-Pints-2K-v0.1/28b3178b-c963-4267-9649-3f7fc10fba3c.json
new file mode 100644
index 000000000..9f6e80b6f
--- /dev/null
+++ b/data/hfopenllm_v2/pints-ai/1.5-Pints-2K-v0.1/28b3178b-c963-4267-9649-3f7fc10fba3c.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/pints-ai_1.5-Pints-2K-v0.1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "1.5-Pints-2K-v0.1",
+    "id": "pints-ai/1.5-Pints-2K-v0.1",
+    "developer": "pints-ai",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 1.566
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1762
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.298
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0128
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2483
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3502
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1104
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/pints-ai/1.5-Pints-2K-v0.1/2ed76213-e562-4b36-bf46-93f09df88ee9.json b/data/hfopenllm_v2/pints-ai/1.5-Pints-2K-v0.1/2ed76213-e562-4b36-bf46-93f09df88ee9.json
deleted file mode 100644
index 6f88cecf2..000000000
--- a/data/hfopenllm_v2/pints-ai/1.5-Pints-2K-v0.1/2ed76213-e562-4b36-bf46-93f09df88ee9.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/pints-ai_1.5-Pints-2K-v0.1/1762652580.4409652",
-  "retrieved_timestamp": "1762652580.440966",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "pints-ai/1.5-Pints-2K-v0.1",
-    "developer": "pints-ai",
-    "inference_platform": "unknown",
-    "id": "pints-ai/1.5-Pints-2K-v0.1",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 1.566
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.17615593292463996
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.29801943389750435
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.01283987915407855
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2483221476510067
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.35018749999999993
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11037234042553191
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/piotr25691/thea-3b-25r/748298a2-5042-4636-ac7e-051c28916f3a.json b/data/hfopenllm_v2/piotr25691/thea-3b-25r/748298a2-5042-4636-ac7e-051c28916f3a.json
new file mode 100644
index 000000000..b4477c2ac
--- /dev/null
+++ b/data/hfopenllm_v2/piotr25691/thea-3b-25r/748298a2-5042-4636-ac7e-051c28916f3a.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/piotr25691_thea-3b-25r/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "thea-3b-25r",
+    "id": "piotr25691/thea-3b-25r",
+    "developer": "piotr25691",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 3.213
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7344
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4484
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1782
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2676
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3315
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3182
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/piotr25691/thea-3b-25r/d8fefd3b-78e6-472e-854c-15f40ace7878.json b/data/hfopenllm_v2/piotr25691/thea-3b-25r/d8fefd3b-78e6-472e-854c-15f40ace7878.json
deleted file mode 100644
index d9c4956bd..000000000
--- a/data/hfopenllm_v2/piotr25691/thea-3b-25r/d8fefd3b-78e6-472e-854c-15f40ace7878.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/piotr25691_thea-3b-25r/1762652580.44117",
-  "retrieved_timestamp": "1762652580.441171",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "piotr25691/thea-3b-25r",
-    "developer": "piotr25691",
-    "inference_platform": "unknown",
-    "id": "piotr25691/thea-3b-25r",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 3.213
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7344202272193336
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.44844100293649863
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1782477341389728
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2676174496644295
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.33145833333333335
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3182347074468085
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/piotr25691/thea-c-3b-25r/03bcd4e6-1620-424a-9200-c0cf4b73bbd2.json b/data/hfopenllm_v2/piotr25691/thea-c-3b-25r/03bcd4e6-1620-424a-9200-c0cf4b73bbd2.json
new file mode 100644
index 000000000..add3fcd04
--- /dev/null
+++ b/data/hfopenllm_v2/piotr25691/thea-c-3b-25r/03bcd4e6-1620-424a-9200-c0cf4b73bbd2.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/piotr25691_thea-c-3b-25r/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "thea-c-3b-25r",
+    "id": "piotr25691/thea-c-3b-25r",
+    "developer": "piotr25691",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 3.213
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7402
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4532
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1526
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2651
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3315
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3178
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/piotr25691/thea-c-3b-25r/828bcb36-3902-4157-9323-a5dcf592a795.json b/data/hfopenllm_v2/piotr25691/thea-c-3b-25r/828bcb36-3902-4157-9323-a5dcf592a795.json
deleted file mode 100644
index 44e4e8732..000000000
--- a/data/hfopenllm_v2/piotr25691/thea-c-3b-25r/828bcb36-3902-4157-9323-a5dcf592a795.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/piotr25691_thea-c-3b-25r/1762652580.441559",
-  "retrieved_timestamp": "1762652580.441561",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "piotr25691/thea-c-3b-25r",
-    "developer": "piotr25691",
-    "inference_platform": "unknown",
-    "id": "piotr25691/thea-c-3b-25r",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 3.213
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7401904723910335
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4532410175874399
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.15256797583081572
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2651006711409396
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.33148958333333334
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3178191489361702
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/piotr25691/thea-rp-3b-25r/c7fba530-63cc-4ece-a171-4a2919aa8057.json b/data/hfopenllm_v2/piotr25691/thea-rp-3b-25r/c7fba530-63cc-4ece-a171-4a2919aa8057.json
new file mode 100644
index 000000000..2c66084d4
--- /dev/null
+++ b/data/hfopenllm_v2/piotr25691/thea-rp-3b-25r/c7fba530-63cc-4ece-a171-4a2919aa8057.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/piotr25691_thea-rp-3b-25r/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "thea-rp-3b-25r",
+    "id": "piotr25691/thea-rp-3b-25r",
+    "developer": "piotr25691",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 3.213
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6578
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.439
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1322
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2743
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3819
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.306
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/piotr25691/thea-rp-3b-25r/cd34091b-2639-476c-8419-e6c327cfabc7.json b/data/hfopenllm_v2/piotr25691/thea-rp-3b-25r/cd34091b-2639-476c-8419-e6c327cfabc7.json
deleted file mode 100644
index f30d08b19..000000000
--- a/data/hfopenllm_v2/piotr25691/thea-rp-3b-25r/cd34091b-2639-476c-8419-e6c327cfabc7.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/piotr25691_thea-rp-3b-25r/1762652580.441917",
-  "retrieved_timestamp": "1762652580.441918",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "piotr25691/thea-rp-3b-25r",
-    "developer": "piotr25691",
-    "inference_platform": "unknown",
-    "id": "piotr25691/thea-rp-3b-25r",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 3.213
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6577835698169745
-      }
-    },
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diff --git a/data/hfopenllm_v2/postbot/gpt2-medium-emailgen/c25c1046-a8d5-4f4b-9a72-c4591cfb4023.json b/data/hfopenllm_v2/postbot/gpt2-medium-emailgen/c25c1046-a8d5-4f4b-9a72-c4591cfb4023.json
new file mode 100644
index 000000000..e0f2e52de
--- /dev/null
+++ b/data/hfopenllm_v2/postbot/gpt2-medium-emailgen/c25c1046-a8d5-4f4b-9a72-c4591cfb4023.json
@@ -0,0 +1,132 @@
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/prince-canuma/Ministral-8B-Instruct-2410-HF/c3800a5c-310b-41cb-9b07-cfc1f1b13256.json b/data/hfopenllm_v2/prince-canuma/Ministral-8B-Instruct-2410-HF/c3800a5c-310b-41cb-9b07-cfc1f1b13256.json
new file mode 100644
index 000000000..6b36039e0
--- /dev/null
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@@ -0,0 +1,132 @@
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/prince-canuma/Ministral-8B-Instruct-2410-HF/f98bc033-55c9-45c1-a101-3881507bb733.json b/data/hfopenllm_v2/prince-canuma/Ministral-8B-Instruct-2410-HF/f98bc033-55c9-45c1-a101-3881507bb733.json
deleted file mode 100644
index 04e34f63a..000000000
--- a/data/hfopenllm_v2/prince-canuma/Ministral-8B-Instruct-2410-HF/f98bc033-55c9-45c1-a101-3881507bb733.json
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diff --git a/data/hfopenllm_v2/princeton-nlp/Llama-3-8B-ProLong-512k-Base/e8e2b99f-cf83-4776-9117-aa2b5d9c8068.json b/data/hfopenllm_v2/princeton-nlp/Llama-3-8B-ProLong-512k-Base/e8e2b99f-cf83-4776-9117-aa2b5d9c8068.json
new file mode 100644
index 000000000..f4645a2cd
--- /dev/null
+++ b/data/hfopenllm_v2/princeton-nlp/Llama-3-8B-ProLong-512k-Base/e8e2b99f-cf83-4776-9117-aa2b5d9c8068.json
@@ -0,0 +1,132 @@
+{
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+  "source_metadata": {
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+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-3-8B-ProLong-512k-Base",
+    "id": "princeton-nlp/Llama-3-8B-ProLong-512k-Base",
+    "developer": "princeton-nlp",
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+        "hf_repo": "SaylorTwift/bbh"
+      },
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+        "lower_is_better": false,
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
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+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/princeton-nlp/Llama-3-8B-ProLong-512k-Instruct/2da19e45-117f-446b-b956-b35a20bb7411.json b/data/hfopenllm_v2/princeton-nlp/Llama-3-8B-ProLong-512k-Instruct/2da19e45-117f-446b-b956-b35a20bb7411.json
new file mode 100644
index 000000000..f3f5626a4
--- /dev/null
+++ b/data/hfopenllm_v2/princeton-nlp/Llama-3-8B-ProLong-512k-Instruct/2da19e45-117f-446b-b956-b35a20bb7411.json
@@ -0,0 +1,132 @@
+{
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+  "source_metadata": {
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+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
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+    "id": "princeton-nlp/Llama-3-8B-ProLong-512k-Instruct",
+    "developer": "princeton-nlp",
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+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5028
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0529
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2861
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4266
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3231
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/princeton-nlp/Llama-3-8B-ProLong-512k-Instruct/72eccc9b-df63-4b2f-8975-a1c89940802c.json b/data/hfopenllm_v2/princeton-nlp/Llama-3-8B-ProLong-512k-Instruct/72eccc9b-df63-4b2f-8975-a1c89940802c.json
deleted file mode 100644
index 12d1fc2a1..000000000
--- a/data/hfopenllm_v2/princeton-nlp/Llama-3-8B-ProLong-512k-Instruct/72eccc9b-df63-4b2f-8975-a1c89940802c.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/princeton-nlp_Llama-3-8B-ProLong-512k-Instruct/1762652580.4434712",
-  "retrieved_timestamp": "1762652580.443472",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "princeton-nlp/Llama-3-8B-ProLong-512k-Instruct",
-    "developer": "princeton-nlp",
-    "inference_platform": "unknown",
-    "id": "princeton-nlp/Llama-3-8B-ProLong-512k-Instruct",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3977734632996006
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.49830327201612584
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.0581570996978852
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.28104026845637586
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.425
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3246343085106383
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/princeton-nlp/Llama-3-8B-ProLong-512k-Instruct/9e982a33-19cb-4381-8560-884bc8946a2b.json b/data/hfopenllm_v2/princeton-nlp/Llama-3-8B-ProLong-512k-Instruct/9e982a33-19cb-4381-8560-884bc8946a2b.json
new file mode 100644
index 000000000..62d796011
--- /dev/null
+++ b/data/hfopenllm_v2/princeton-nlp/Llama-3-8B-ProLong-512k-Instruct/9e982a33-19cb-4381-8560-884bc8946a2b.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/princeton-nlp_Llama-3-8B-ProLong-512k-Instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-3-8B-ProLong-512k-Instruct",
+    "id": "princeton-nlp/Llama-3-8B-ProLong-512k-Instruct",
+    "developer": "princeton-nlp",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3978
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4983
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0582
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.281
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.425
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3246
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/princeton-nlp/Llama-3-8B-ProLong-512k-Instruct/e30fead2-6516-480f-abd8-6ad0713cb053.json b/data/hfopenllm_v2/princeton-nlp/Llama-3-8B-ProLong-512k-Instruct/e30fead2-6516-480f-abd8-6ad0713cb053.json
deleted file mode 100644
index 4db4b89d0..000000000
--- a/data/hfopenllm_v2/princeton-nlp/Llama-3-8B-ProLong-512k-Instruct/e30fead2-6516-480f-abd8-6ad0713cb053.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/princeton-nlp_Llama-3-8B-ProLong-512k-Instruct/1762652580.4431858",
-  "retrieved_timestamp": "1762652580.443187",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "princeton-nlp/Llama-3-8B-ProLong-512k-Instruct",
-    "developer": "princeton-nlp",
-    "inference_platform": "unknown",
-    "id": "princeton-nlp/Llama-3-8B-ProLong-512k-Instruct",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5508218194390884
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5028310716285619
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.052870090634441085
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2860738255033557
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42664583333333334
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.32313829787234044
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/princeton-nlp/Llama-3-8B-ProLong-64k-Base/9130a862-cfd7-47ce-a92a-f60438739491.json b/data/hfopenllm_v2/princeton-nlp/Llama-3-8B-ProLong-64k-Base/9130a862-cfd7-47ce-a92a-f60438739491.json
new file mode 100644
index 000000000..41ea67f01
--- /dev/null
+++ b/data/hfopenllm_v2/princeton-nlp/Llama-3-8B-ProLong-64k-Base/9130a862-cfd7-47ce-a92a-f60438739491.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/princeton-nlp_Llama-3-8B-ProLong-64k-Base/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-3-8B-ProLong-64k-Base",
+    "id": "princeton-nlp/Llama-3-8B-ProLong-64k-Base",
+    "developer": "princeton-nlp",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5201
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4927
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.065
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2651
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4341
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3348
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/princeton-nlp/Llama-3-8B-ProLong-64k-Instruct/858d3717-fcb2-45d9-8eaa-1b00ae0ca918.json b/data/hfopenllm_v2/princeton-nlp/Llama-3-8B-ProLong-64k-Instruct/858d3717-fcb2-45d9-8eaa-1b00ae0ca918.json
new file mode 100644
index 000000000..b83c173d0
--- /dev/null
+++ b/data/hfopenllm_v2/princeton-nlp/Llama-3-8B-ProLong-64k-Instruct/858d3717-fcb2-45d9-8eaa-1b00ae0ca918.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/princeton-nlp_Llama-3-8B-ProLong-64k-Instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-3-8B-ProLong-64k-Instruct",
+    "id": "princeton-nlp/Llama-3-8B-ProLong-64k-Instruct",
+    "developer": "princeton-nlp",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5563
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5083
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.065
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2953
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4397
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3275
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/princeton-nlp/Llama-3-8B-ProLong-64k-Instruct/9c801b4e-228b-42a8-a7f7-ea2bf125d716.json b/data/hfopenllm_v2/princeton-nlp/Llama-3-8B-ProLong-64k-Instruct/9c801b4e-228b-42a8-a7f7-ea2bf125d716.json
deleted file mode 100644
index 44ded15e0..000000000
--- a/data/hfopenllm_v2/princeton-nlp/Llama-3-8B-ProLong-64k-Instruct/9c801b4e-228b-42a8-a7f7-ea2bf125d716.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/princeton-nlp_Llama-3-8B-ProLong-64k-Instruct/1762652580.443907",
-  "retrieved_timestamp": "1762652580.4439082",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "princeton-nlp/Llama-3-8B-ProLong-64k-Instruct",
-    "developer": "princeton-nlp",
-    "inference_platform": "unknown",
-    "id": "princeton-nlp/Llama-3-8B-ProLong-64k-Instruct",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5563172382611471
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5083040804243396
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.0649546827794562
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2953020134228188
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.43969791666666663
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.32746010638297873
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/princeton-nlp/Llama-3-Base-8B-SFT-CPO/342c7c0f-92f0-4296-8e0a-519724133bb5.json b/data/hfopenllm_v2/princeton-nlp/Llama-3-Base-8B-SFT-CPO/342c7c0f-92f0-4296-8e0a-519724133bb5.json
deleted file mode 100644
index 4434f55d2..000000000
--- a/data/hfopenllm_v2/princeton-nlp/Llama-3-Base-8B-SFT-CPO/342c7c0f-92f0-4296-8e0a-519724133bb5.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/princeton-nlp_Llama-3-Base-8B-SFT-CPO/1762652580.444415",
-  "retrieved_timestamp": "1762652580.444416",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "princeton-nlp/Llama-3-Base-8B-SFT-CPO",
-    "developer": "princeton-nlp",
-    "inference_platform": "unknown",
-    "id": "princeton-nlp/Llama-3-Base-8B-SFT-CPO",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37034623687371726
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4594875922440002
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.054380664652567974
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.27432885906040266
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3608541666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2976230053191489
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/princeton-nlp/Llama-3-Base-8B-SFT-CPO/5f1f137b-cb2f-4ee6-8bc9-5e0b94939f35.json b/data/hfopenllm_v2/princeton-nlp/Llama-3-Base-8B-SFT-CPO/5f1f137b-cb2f-4ee6-8bc9-5e0b94939f35.json
new file mode 100644
index 000000000..25691f45b
--- /dev/null
+++ b/data/hfopenllm_v2/princeton-nlp/Llama-3-Base-8B-SFT-CPO/5f1f137b-cb2f-4ee6-8bc9-5e0b94939f35.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/princeton-nlp_Llama-3-Base-8B-SFT-CPO/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-3-Base-8B-SFT-CPO",
+    "id": "princeton-nlp/Llama-3-Base-8B-SFT-CPO",
+    "developer": "princeton-nlp",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3703
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4595
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0544
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2743
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3609
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2976
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/princeton-nlp/Llama-3-Base-8B-SFT-DPO/6feca911-7a6e-43a2-b59d-7cb48070fe8e.json b/data/hfopenllm_v2/princeton-nlp/Llama-3-Base-8B-SFT-DPO/6feca911-7a6e-43a2-b59d-7cb48070fe8e.json
new file mode 100644
index 000000000..84c86e76e
--- /dev/null
+++ b/data/hfopenllm_v2/princeton-nlp/Llama-3-Base-8B-SFT-DPO/6feca911-7a6e-43a2-b59d-7cb48070fe8e.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/princeton-nlp_Llama-3-Base-8B-SFT-DPO/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-3-Base-8B-SFT-DPO",
+    "id": "princeton-nlp/Llama-3-Base-8B-SFT-DPO",
+    "developer": "princeton-nlp",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4111
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4666
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0415
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3104
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3867
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3078
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/princeton-nlp/Llama-3-Base-8B-SFT-DPO/8afa4f43-96fb-46b1-84e8-bf98928aa484.json b/data/hfopenllm_v2/princeton-nlp/Llama-3-Base-8B-SFT-DPO/8afa4f43-96fb-46b1-84e8-bf98928aa484.json
deleted file mode 100644
index bf5d10be3..000000000
--- a/data/hfopenllm_v2/princeton-nlp/Llama-3-Base-8B-SFT-DPO/8afa4f43-96fb-46b1-84e8-bf98928aa484.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/princeton-nlp_Llama-3-Base-8B-SFT-DPO/1762652580.444683",
-  "retrieved_timestamp": "1762652580.444684",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "princeton-nlp/Llama-3-Base-8B-SFT-DPO",
-    "developer": "princeton-nlp",
-    "inference_platform": "unknown",
-    "id": "princeton-nlp/Llama-3-Base-8B-SFT-DPO",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41111251479407973
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.46658506064913546
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.04154078549848943
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
-        "score": 0.3104026845637584
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-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
-        "score": 0.38673958333333336
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
-        "score": 0.3078457446808511
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/princeton-nlp/Llama-3-Base-8B-SFT-IPO/71d5525f-c257-4b88-b84d-d75b3a8328fc.json b/data/hfopenllm_v2/princeton-nlp/Llama-3-Base-8B-SFT-IPO/71d5525f-c257-4b88-b84d-d75b3a8328fc.json
deleted file mode 100644
index 0271cb722..000000000
--- a/data/hfopenllm_v2/princeton-nlp/Llama-3-Base-8B-SFT-IPO/71d5525f-c257-4b88-b84d-d75b3a8328fc.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/princeton-nlp_Llama-3-Base-8B-SFT-IPO/1762652580.444937",
-  "retrieved_timestamp": "1762652580.444937",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "princeton-nlp/Llama-3-Base-8B-SFT-IPO",
-    "developer": "princeton-nlp",
-    "inference_platform": "unknown",
-    "id": "princeton-nlp/Llama-3-Base-8B-SFT-IPO",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4486562321307464
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4690068582318399
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.03927492447129909
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2978187919463087
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3919479166666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3115026595744681
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/princeton-nlp/Llama-3-Base-8B-SFT-IPO/d3ad9813-273e-47de-be16-312cc67ac64f.json b/data/hfopenllm_v2/princeton-nlp/Llama-3-Base-8B-SFT-IPO/d3ad9813-273e-47de-be16-312cc67ac64f.json
new file mode 100644
index 000000000..95f0c784c
--- /dev/null
+++ b/data/hfopenllm_v2/princeton-nlp/Llama-3-Base-8B-SFT-IPO/d3ad9813-273e-47de-be16-312cc67ac64f.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/princeton-nlp_Llama-3-Base-8B-SFT-IPO/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-3-Base-8B-SFT-IPO",
+    "id": "princeton-nlp/Llama-3-Base-8B-SFT-IPO",
+    "developer": "princeton-nlp",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4487
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.469
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0393
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2978
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3919
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3115
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/princeton-nlp/Llama-3-Base-8B-SFT-KTO/317205ee-2cc6-4523-9662-be6508314b08.json b/data/hfopenllm_v2/princeton-nlp/Llama-3-Base-8B-SFT-KTO/317205ee-2cc6-4523-9662-be6508314b08.json
new file mode 100644
index 000000000..1afb80262
--- /dev/null
+++ b/data/hfopenllm_v2/princeton-nlp/Llama-3-Base-8B-SFT-KTO/317205ee-2cc6-4523-9662-be6508314b08.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/princeton-nlp_Llama-3-Base-8B-SFT-KTO/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-3-Base-8B-SFT-KTO",
+    "id": "princeton-nlp/Llama-3-Base-8B-SFT-KTO",
+    "developer": "princeton-nlp",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4523
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4693
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0529
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3054
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3842
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3054
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/princeton-nlp/Llama-3-Base-8B-SFT-KTO/6c0d909f-ee4f-4e1a-8db9-abf1920359ed.json b/data/hfopenllm_v2/princeton-nlp/Llama-3-Base-8B-SFT-KTO/6c0d909f-ee4f-4e1a-8db9-abf1920359ed.json
deleted file mode 100644
index c4f72f912..000000000
--- a/data/hfopenllm_v2/princeton-nlp/Llama-3-Base-8B-SFT-KTO/6c0d909f-ee4f-4e1a-8db9-abf1920359ed.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/princeton-nlp_Llama-3-Base-8B-SFT-KTO/1762652580.4452229",
-  "retrieved_timestamp": "1762652580.445225",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "princeton-nlp/Llama-3-Base-8B-SFT-KTO",
-    "developer": "princeton-nlp",
-    "inference_platform": "unknown",
-    "id": "princeton-nlp/Llama-3-Base-8B-SFT-KTO",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4522533544329047
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4692852292721417
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.052870090634441085
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3053691275167785
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3841979166666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3054355053191489
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/princeton-nlp/Llama-3-Base-8B-SFT-ORPO/3b5fe65a-50a1-4036-b81a-86117356cab9.json b/data/hfopenllm_v2/princeton-nlp/Llama-3-Base-8B-SFT-ORPO/3b5fe65a-50a1-4036-b81a-86117356cab9.json
new file mode 100644
index 000000000..4c1233c1f
--- /dev/null
+++ b/data/hfopenllm_v2/princeton-nlp/Llama-3-Base-8B-SFT-ORPO/3b5fe65a-50a1-4036-b81a-86117356cab9.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/princeton-nlp_Llama-3-Base-8B-SFT-ORPO/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-3-Base-8B-SFT-ORPO",
+    "id": "princeton-nlp/Llama-3-Base-8B-SFT-ORPO",
+    "developer": "princeton-nlp",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4517
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4734
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0468
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3138
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3707
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3083
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/princeton-nlp/Llama-3-Base-8B-SFT-ORPO/ba821a1c-3b8e-4952-9f7b-b1f18923c4e7.json b/data/hfopenllm_v2/princeton-nlp/Llama-3-Base-8B-SFT-ORPO/ba821a1c-3b8e-4952-9f7b-b1f18923c4e7.json
deleted file mode 100644
index a70c948a8..000000000
--- a/data/hfopenllm_v2/princeton-nlp/Llama-3-Base-8B-SFT-ORPO/ba821a1c-3b8e-4952-9f7b-b1f18923c4e7.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/princeton-nlp_Llama-3-Base-8B-SFT-ORPO/1762652580.445469",
-  "retrieved_timestamp": "1762652580.4454699",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "princeton-nlp/Llama-3-Base-8B-SFT-ORPO",
-    "developer": "princeton-nlp",
-    "inference_platform": "unknown",
-    "id": "princeton-nlp/Llama-3-Base-8B-SFT-ORPO",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.45165383404921167
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.47340573024653915
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.04682779456193353
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.313758389261745
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3706770833333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30826130319148937
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/princeton-nlp/Llama-3-Base-8B-SFT-RDPO/812ac262-97f4-485e-93de-f8d420b8658e.json b/data/hfopenllm_v2/princeton-nlp/Llama-3-Base-8B-SFT-RDPO/812ac262-97f4-485e-93de-f8d420b8658e.json
new file mode 100644
index 000000000..21691d320
--- /dev/null
+++ b/data/hfopenllm_v2/princeton-nlp/Llama-3-Base-8B-SFT-RDPO/812ac262-97f4-485e-93de-f8d420b8658e.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/princeton-nlp_Llama-3-Base-8B-SFT-RDPO/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-3-Base-8B-SFT-RDPO",
+    "id": "princeton-nlp/Llama-3-Base-8B-SFT-RDPO",
+    "developer": "princeton-nlp",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.448
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4662
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0574
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3062
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4027
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3014
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/princeton-nlp/Llama-3-Base-8B-SFT-RDPO/985ac874-e7eb-4431-81c2-a79f3865c696.json b/data/hfopenllm_v2/princeton-nlp/Llama-3-Base-8B-SFT-RDPO/985ac874-e7eb-4431-81c2-a79f3865c696.json
deleted file mode 100644
index 5f1550171..000000000
--- a/data/hfopenllm_v2/princeton-nlp/Llama-3-Base-8B-SFT-RDPO/985ac874-e7eb-4431-81c2-a79f3865c696.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/princeton-nlp_Llama-3-Base-8B-SFT-RDPO/1762652580.445683",
-  "retrieved_timestamp": "1762652580.445684",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "princeton-nlp/Llama-3-Base-8B-SFT-RDPO",
-    "developer": "princeton-nlp",
-    "inference_platform": "unknown",
-    "id": "princeton-nlp/Llama-3-Base-8B-SFT-RDPO",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4480068440626427
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.46620140448752295
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.05740181268882175
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3062080536912752
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4027395833333334
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30144614361702127
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/princeton-nlp/Llama-3-Base-8B-SFT-RRHF/39cd7eb0-781e-47b6-8eaa-c72e702f778f.json b/data/hfopenllm_v2/princeton-nlp/Llama-3-Base-8B-SFT-RRHF/39cd7eb0-781e-47b6-8eaa-c72e702f778f.json
new file mode 100644
index 000000000..564369fd0
--- /dev/null
+++ b/data/hfopenllm_v2/princeton-nlp/Llama-3-Base-8B-SFT-RRHF/39cd7eb0-781e-47b6-8eaa-c72e702f778f.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/princeton-nlp_Llama-3-Base-8B-SFT-RRHF/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-3-Base-8B-SFT-RRHF",
+    "id": "princeton-nlp/Llama-3-Base-8B-SFT-RRHF",
+    "developer": "princeton-nlp",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3357
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.452
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0453
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3054
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3722
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2889
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/princeton-nlp/Llama-3-Base-8B-SFT-RRHF/cc9fb769-3d0b-4e53-9942-d4f99203a629.json b/data/hfopenllm_v2/princeton-nlp/Llama-3-Base-8B-SFT-RRHF/cc9fb769-3d0b-4e53-9942-d4f99203a629.json
deleted file mode 100644
index 3028e534e..000000000
--- a/data/hfopenllm_v2/princeton-nlp/Llama-3-Base-8B-SFT-RRHF/cc9fb769-3d0b-4e53-9942-d4f99203a629.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/princeton-nlp_Llama-3-Base-8B-SFT-RRHF/1762652580.445896",
-  "retrieved_timestamp": "1762652580.445896",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "princeton-nlp/Llama-3-Base-8B-SFT-RRHF",
-    "developer": "princeton-nlp",
-    "inference_platform": "unknown",
-    "id": "princeton-nlp/Llama-3-Base-8B-SFT-RRHF",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3357247658435174
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4520360167602379
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.045317220543806644
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3053691275167785
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37222916666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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diff --git a/data/hfopenllm_v2/princeton-nlp/Llama-3-Base-8B-SFT-SLiC-HF/596f4d11-f091-42c3-9f1e-b95e0ba6dbd9.json b/data/hfopenllm_v2/princeton-nlp/Llama-3-Base-8B-SFT-SLiC-HF/596f4d11-f091-42c3-9f1e-b95e0ba6dbd9.json
deleted file mode 100644
index 1be27c9da..000000000
--- a/data/hfopenllm_v2/princeton-nlp/Llama-3-Base-8B-SFT-SLiC-HF/596f4d11-f091-42c3-9f1e-b95e0ba6dbd9.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/princeton-nlp_Llama-3-Base-8B-SFT-SLiC-HF/1762652580.4460979",
-  "retrieved_timestamp": "1762652580.446099",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "princeton-nlp/Llama-3-Base-8B-SFT-SLiC-HF",
-    "developer": "princeton-nlp",
-    "inference_platform": "unknown",
-    "id": "princeton-nlp/Llama-3-Base-8B-SFT-SLiC-HF",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4890479483326463
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4704075127777334
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.05060422960725076
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.28691275167785235
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.40909375000000003
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30634973404255317
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/princeton-nlp/Llama-3-Base-8B-SFT-SLiC-HF/9411a8a4-306e-43da-96d7-c93eb3aac398.json b/data/hfopenllm_v2/princeton-nlp/Llama-3-Base-8B-SFT-SLiC-HF/9411a8a4-306e-43da-96d7-c93eb3aac398.json
new file mode 100644
index 000000000..3220421bd
--- /dev/null
+++ b/data/hfopenllm_v2/princeton-nlp/Llama-3-Base-8B-SFT-SLiC-HF/9411a8a4-306e-43da-96d7-c93eb3aac398.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/princeton-nlp_Llama-3-Base-8B-SFT-SLiC-HF/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-3-Base-8B-SFT-SLiC-HF",
+    "id": "princeton-nlp/Llama-3-Base-8B-SFT-SLiC-HF",
+    "developer": "princeton-nlp",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.489
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4704
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0506
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2869
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4091
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3063
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/princeton-nlp/Llama-3-Base-8B-SFT-SimPO/314cfcd7-674a-49d2-adf5-6d45c30e2382.json b/data/hfopenllm_v2/princeton-nlp/Llama-3-Base-8B-SFT-SimPO/314cfcd7-674a-49d2-adf5-6d45c30e2382.json
deleted file mode 100644
index b90bf9c96..000000000
--- a/data/hfopenllm_v2/princeton-nlp/Llama-3-Base-8B-SFT-SimPO/314cfcd7-674a-49d2-adf5-6d45c30e2382.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/princeton-nlp_Llama-3-Base-8B-SFT-SimPO/1762652580.446312",
-  "retrieved_timestamp": "1762652580.446312",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "princeton-nlp/Llama-3-Base-8B-SFT-SimPO",
-    "developer": "princeton-nlp",
-    "inference_platform": "unknown",
-    "id": "princeton-nlp/Llama-3-Base-8B-SFT-SimPO",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4685401401614383
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.47412507033960827
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.05513595166163142
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.28859060402684567
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41268750000000004
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.31050531914893614
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/princeton-nlp/Llama-3-Base-8B-SFT-SimPO/c93feb32-0526-44ac-b3ed-95f08c37cc9f.json b/data/hfopenllm_v2/princeton-nlp/Llama-3-Base-8B-SFT-SimPO/c93feb32-0526-44ac-b3ed-95f08c37cc9f.json
new file mode 100644
index 000000000..5ed4540df
--- /dev/null
+++ b/data/hfopenllm_v2/princeton-nlp/Llama-3-Base-8B-SFT-SimPO/c93feb32-0526-44ac-b3ed-95f08c37cc9f.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/princeton-nlp_Llama-3-Base-8B-SFT-SimPO/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-3-Base-8B-SFT-SimPO",
+    "id": "princeton-nlp/Llama-3-Base-8B-SFT-SimPO",
+    "developer": "princeton-nlp",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4685
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4741
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0551
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2886
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4127
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3105
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/princeton-nlp/Llama-3-Base-8B-SFT/1a3b0f7a-afb6-4002-9321-23a86f000c5c.json b/data/hfopenllm_v2/princeton-nlp/Llama-3-Base-8B-SFT/1a3b0f7a-afb6-4002-9321-23a86f000c5c.json
new file mode 100644
index 000000000..d4c8acc9b
--- /dev/null
+++ b/data/hfopenllm_v2/princeton-nlp/Llama-3-Base-8B-SFT/1a3b0f7a-afb6-4002-9321-23a86f000c5c.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/princeton-nlp_Llama-3-Base-8B-SFT/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-3-Base-8B-SFT",
+    "id": "princeton-nlp/Llama-3-Base-8B-SFT",
+    "developer": "princeton-nlp",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2796
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4643
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.04
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2978
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4118
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3093
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/princeton-nlp/Llama-3-Base-8B-SFT/494df3f9-7ce9-4f81-99c4-e6100d6e4187.json b/data/hfopenllm_v2/princeton-nlp/Llama-3-Base-8B-SFT/494df3f9-7ce9-4f81-99c4-e6100d6e4187.json
deleted file mode 100644
index acd418503..000000000
--- a/data/hfopenllm_v2/princeton-nlp/Llama-3-Base-8B-SFT/494df3f9-7ce9-4f81-99c4-e6100d6e4187.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/princeton-nlp_Llama-3-Base-8B-SFT/1762652580.444184",
-  "retrieved_timestamp": "1762652580.444185",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "princeton-nlp/Llama-3-Base-8B-SFT",
-    "developer": "princeton-nlp",
-    "inference_platform": "unknown",
-    "id": "princeton-nlp/Llama-3-Base-8B-SFT",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.27959591661236627
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.464303802632615
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.04003021148036254
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2978187919463087
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4117916666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3093417553191489
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/princeton-nlp/Llama-3-Instruct-8B-CPO-v0.2/2de21869-2851-43f8-b5c3-a4b9e0e6e3ac.json b/data/hfopenllm_v2/princeton-nlp/Llama-3-Instruct-8B-CPO-v0.2/2de21869-2851-43f8-b5c3-a4b9e0e6e3ac.json
deleted file mode 100644
index 79e48c880..000000000
--- a/data/hfopenllm_v2/princeton-nlp/Llama-3-Instruct-8B-CPO-v0.2/2de21869-2851-43f8-b5c3-a4b9e0e6e3ac.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/princeton-nlp_Llama-3-Instruct-8B-CPO-v0.2/1762652580.44678",
-  "retrieved_timestamp": "1762652580.446781",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "princeton-nlp/Llama-3-Instruct-8B-CPO-v0.2",
-    "developer": "princeton-nlp",
-    "inference_platform": "unknown",
-    "id": "princeton-nlp/Llama-3-Instruct-8B-CPO-v0.2",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7505817896514582
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5026669871217129
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.10800604229607251
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2609060402684564
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.36190625000000004
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37059507978723405
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/princeton-nlp/Llama-3-Instruct-8B-CPO-v0.2/8d29363d-3096-4c54-a40e-acf4a7318a04.json b/data/hfopenllm_v2/princeton-nlp/Llama-3-Instruct-8B-CPO-v0.2/8d29363d-3096-4c54-a40e-acf4a7318a04.json
new file mode 100644
index 000000000..6799069cb
--- /dev/null
+++ b/data/hfopenllm_v2/princeton-nlp/Llama-3-Instruct-8B-CPO-v0.2/8d29363d-3096-4c54-a40e-acf4a7318a04.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/princeton-nlp_Llama-3-Instruct-8B-CPO-v0.2/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-3-Instruct-8B-CPO-v0.2",
+    "id": "princeton-nlp/Llama-3-Instruct-8B-CPO-v0.2",
+    "developer": "princeton-nlp",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7506
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5027
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.108
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2609
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3619
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3706
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/princeton-nlp/Llama-3-Instruct-8B-CPO/8cea452d-63b8-4e82-9511-64c94f8e140d.json b/data/hfopenllm_v2/princeton-nlp/Llama-3-Instruct-8B-CPO/8cea452d-63b8-4e82-9511-64c94f8e140d.json
new file mode 100644
index 000000000..acd408cf8
--- /dev/null
+++ b/data/hfopenllm_v2/princeton-nlp/Llama-3-Instruct-8B-CPO/8cea452d-63b8-4e82-9511-64c94f8e140d.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/princeton-nlp_Llama-3-Instruct-8B-CPO/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-3-Instruct-8B-CPO",
+    "id": "princeton-nlp/Llama-3-Instruct-8B-CPO",
+    "developer": "princeton-nlp",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7293
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4999
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0989
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2601
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3514
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3652
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/princeton-nlp/Llama-3-Instruct-8B-CPO/95eb37c8-2a58-45e3-bd86-2c305e3cb5dd.json b/data/hfopenllm_v2/princeton-nlp/Llama-3-Instruct-8B-CPO/95eb37c8-2a58-45e3-bd86-2c305e3cb5dd.json
deleted file mode 100644
index 6f438cc31..000000000
--- a/data/hfopenllm_v2/princeton-nlp/Llama-3-Instruct-8B-CPO/95eb37c8-2a58-45e3-bd86-2c305e3cb5dd.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/princeton-nlp_Llama-3-Instruct-8B-CPO/1762652580.4465249",
-  "retrieved_timestamp": "1762652580.446526",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "princeton-nlp/Llama-3-Instruct-8B-CPO",
-    "developer": "princeton-nlp",
-    "inference_platform": "unknown",
-    "id": "princeton-nlp/Llama-3-Instruct-8B-CPO",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7292993701157373
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4998793158888361
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.09894259818731117
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2600671140939597
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.35139583333333335
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.36519281914893614
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/princeton-nlp/Llama-3-Instruct-8B-DPO-v0.2/5e5b5424-1d48-4a5e-8775-52c75609c338.json b/data/hfopenllm_v2/princeton-nlp/Llama-3-Instruct-8B-DPO-v0.2/5e5b5424-1d48-4a5e-8775-52c75609c338.json
new file mode 100644
index 000000000..68024676a
--- /dev/null
+++ b/data/hfopenllm_v2/princeton-nlp/Llama-3-Instruct-8B-DPO-v0.2/5e5b5424-1d48-4a5e-8775-52c75609c338.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/princeton-nlp_Llama-3-Instruct-8B-DPO-v0.2/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-3-Instruct-8B-DPO-v0.2",
+    "id": "princeton-nlp/Llama-3-Instruct-8B-DPO-v0.2",
+    "developer": "princeton-nlp",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7208
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5056
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0899
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2869
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3844
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3769
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/princeton-nlp/Llama-3-Instruct-8B-DPO-v0.2/6ae028c9-19d9-447b-93c1-c4548aef84f9.json b/data/hfopenllm_v2/princeton-nlp/Llama-3-Instruct-8B-DPO-v0.2/6ae028c9-19d9-447b-93c1-c4548aef84f9.json
deleted file mode 100644
index 8b9c2797f..000000000
--- a/data/hfopenllm_v2/princeton-nlp/Llama-3-Instruct-8B-DPO-v0.2/6ae028c9-19d9-447b-93c1-c4548aef84f9.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/princeton-nlp_Llama-3-Instruct-8B-DPO-v0.2/1762652580.447217",
-  "retrieved_timestamp": "1762652580.447217",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "princeton-nlp/Llama-3-Instruct-8B-DPO-v0.2",
-    "developer": "princeton-nlp",
-    "inference_platform": "unknown",
-    "id": "princeton-nlp/Llama-3-Instruct-8B-DPO-v0.2",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7208063493752133
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.505620320855615
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.08987915407854985
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.28691275167785235
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3844479166666666
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37691156914893614
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/princeton-nlp/Llama-3-Instruct-8B-DPO/73787033-ed1d-4d2e-b7b2-e886ef6f1036.json b/data/hfopenllm_v2/princeton-nlp/Llama-3-Instruct-8B-DPO/73787033-ed1d-4d2e-b7b2-e886ef6f1036.json
new file mode 100644
index 000000000..9471420c1
--- /dev/null
+++ b/data/hfopenllm_v2/princeton-nlp/Llama-3-Instruct-8B-DPO/73787033-ed1d-4d2e-b7b2-e886ef6f1036.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/princeton-nlp_Llama-3-Instruct-8B-DPO/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-3-Instruct-8B-DPO",
+    "id": "princeton-nlp/Llama-3-Instruct-8B-DPO",
+    "developer": "princeton-nlp",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6757
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4991
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0846
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2718
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3738
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3665
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/princeton-nlp/Llama-3-Instruct-8B-DPO/81c7a3df-7e92-4efa-a323-51ea3e0a4fa6.json b/data/hfopenllm_v2/princeton-nlp/Llama-3-Instruct-8B-DPO/81c7a3df-7e92-4efa-a323-51ea3e0a4fa6.json
deleted file mode 100644
index db88b8387..000000000
--- a/data/hfopenllm_v2/princeton-nlp/Llama-3-Instruct-8B-DPO/81c7a3df-7e92-4efa-a323-51ea3e0a4fa6.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/princeton-nlp_Llama-3-Instruct-8B-DPO/1762652580.447003",
-  "retrieved_timestamp": "1762652580.447003",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "princeton-nlp/Llama-3-Instruct-8B-DPO",
-    "developer": "princeton-nlp",
-    "inference_platform": "unknown",
-    "id": "princeton-nlp/Llama-3-Instruct-8B-DPO",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6757436934001781
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4991303079139502
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.08459214501510574
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.27181208053691275
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37381250000000005
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.36652260638297873
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/princeton-nlp/Llama-3-Instruct-8B-KTO-v0.2/54c9403f-2525-45c0-a585-9ff598f95f6b.json b/data/hfopenllm_v2/princeton-nlp/Llama-3-Instruct-8B-KTO-v0.2/54c9403f-2525-45c0-a585-9ff598f95f6b.json
new file mode 100644
index 000000000..8762059d7
--- /dev/null
+++ b/data/hfopenllm_v2/princeton-nlp/Llama-3-Instruct-8B-KTO-v0.2/54c9403f-2525-45c0-a585-9ff598f95f6b.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/princeton-nlp_Llama-3-Instruct-8B-KTO-v0.2/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-3-Instruct-8B-KTO-v0.2",
+    "id": "princeton-nlp/Llama-3-Instruct-8B-KTO-v0.2",
+    "developer": "princeton-nlp",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.729
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.508
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0997
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2601
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3777
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3668
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/princeton-nlp/Llama-3-Instruct-8B-KTO-v0.2/5f35c42b-2d34-42bc-b94e-127a678cad2c.json b/data/hfopenllm_v2/princeton-nlp/Llama-3-Instruct-8B-KTO-v0.2/5f35c42b-2d34-42bc-b94e-127a678cad2c.json
deleted file mode 100644
index 24d0f6d37..000000000
--- a/data/hfopenllm_v2/princeton-nlp/Llama-3-Instruct-8B-KTO-v0.2/5f35c42b-2d34-42bc-b94e-127a678cad2c.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/princeton-nlp_Llama-3-Instruct-8B-KTO-v0.2/1762652580.447652",
-  "retrieved_timestamp": "1762652580.447653",
-  "source_data": [
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-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
-    "name": "princeton-nlp/Llama-3-Instruct-8B-KTO-v0.2",
-    "developer": "princeton-nlp",
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-        "score_type": "continuous",
-        "min_score": 0,
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-        "lower_is_better": false,
-        "score_type": "continuous",
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37775
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/princeton-nlp/Llama-3-Instruct-8B-KTO/77d0d88d-7ca8-4f3e-8b79-295f53140635.json b/data/hfopenllm_v2/princeton-nlp/Llama-3-Instruct-8B-KTO/77d0d88d-7ca8-4f3e-8b79-295f53140635.json
new file mode 100644
index 000000000..0d6769c0d
--- /dev/null
+++ b/data/hfopenllm_v2/princeton-nlp/Llama-3-Instruct-8B-KTO/77d0d88d-7ca8-4f3e-8b79-295f53140635.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/princeton-nlp_Llama-3-Instruct-8B-KTO/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-3-Instruct-8B-KTO",
+    "id": "princeton-nlp/Llama-3-Instruct-8B-KTO",
+    "developer": "princeton-nlp",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6864
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4982
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0725
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.276
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3698
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3599
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/princeton-nlp/Llama-3-Instruct-8B-KTO/e8602fbb-422c-464e-87f4-79c6e1a4afcf.json b/data/hfopenllm_v2/princeton-nlp/Llama-3-Instruct-8B-KTO/e8602fbb-422c-464e-87f4-79c6e1a4afcf.json
deleted file mode 100644
index d8b59693a..000000000
--- a/data/hfopenllm_v2/princeton-nlp/Llama-3-Instruct-8B-KTO/e8602fbb-422c-464e-87f4-79c6e1a4afcf.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/princeton-nlp_Llama-3-Instruct-8B-KTO/1762652580.4474308",
-  "retrieved_timestamp": "1762652580.447432",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "princeton-nlp/Llama-3-Instruct-8B-KTO",
-    "developer": "princeton-nlp",
-    "inference_platform": "unknown",
-    "id": "princeton-nlp/Llama-3-Instruct-8B-KTO",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6864098370102439
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4981903187457697
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.07250755287009064
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.276006711409396
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.36984374999999997
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.35987367021276595
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/princeton-nlp/Llama-3-Instruct-8B-ORPO-v0.2/28bf3b2a-6c0c-4994-aaf5-80b67d82a955.json b/data/hfopenllm_v2/princeton-nlp/Llama-3-Instruct-8B-ORPO-v0.2/28bf3b2a-6c0c-4994-aaf5-80b67d82a955.json
deleted file mode 100644
index 2793ce30b..000000000
--- a/data/hfopenllm_v2/princeton-nlp/Llama-3-Instruct-8B-ORPO-v0.2/28bf3b2a-6c0c-4994-aaf5-80b67d82a955.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/princeton-nlp_Llama-3-Instruct-8B-ORPO-v0.2/1762652580.448072",
-  "retrieved_timestamp": "1762652580.448073",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "princeton-nlp/Llama-3-Instruct-8B-ORPO-v0.2",
-    "developer": "princeton-nlp",
-    "inference_platform": "unknown",
-    "id": "princeton-nlp/Llama-3-Instruct-8B-ORPO-v0.2",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7633213207622442
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.507835231782556
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.10196374622356495
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2835570469798658
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37796874999999996
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37308843085106386
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/princeton-nlp/Llama-3-Instruct-8B-ORPO-v0.2/727f27e3-2a3f-4572-8db5-87e498c4b6ca.json b/data/hfopenllm_v2/princeton-nlp/Llama-3-Instruct-8B-ORPO-v0.2/727f27e3-2a3f-4572-8db5-87e498c4b6ca.json
new file mode 100644
index 000000000..26a0731e0
--- /dev/null
+++ b/data/hfopenllm_v2/princeton-nlp/Llama-3-Instruct-8B-ORPO-v0.2/727f27e3-2a3f-4572-8db5-87e498c4b6ca.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/princeton-nlp_Llama-3-Instruct-8B-ORPO-v0.2/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-3-Instruct-8B-ORPO-v0.2",
+    "id": "princeton-nlp/Llama-3-Instruct-8B-ORPO-v0.2",
+    "developer": "princeton-nlp",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7633
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5078
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.102
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2836
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.378
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3731
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/princeton-nlp/Llama-3-Instruct-8B-ORPO/8789e9aa-5cfb-4eca-9795-540c5a9b4bb4.json b/data/hfopenllm_v2/princeton-nlp/Llama-3-Instruct-8B-ORPO/8789e9aa-5cfb-4eca-9795-540c5a9b4bb4.json
deleted file mode 100644
index 01fcf9141..000000000
--- a/data/hfopenllm_v2/princeton-nlp/Llama-3-Instruct-8B-ORPO/8789e9aa-5cfb-4eca-9795-540c5a9b4bb4.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/princeton-nlp_Llama-3-Instruct-8B-ORPO/1762652580.447865",
-  "retrieved_timestamp": "1762652580.4478662",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "princeton-nlp/Llama-3-Instruct-8B-ORPO",
-    "developer": "princeton-nlp",
-    "inference_platform": "unknown",
-    "id": "princeton-nlp/Llama-3-Instruct-8B-ORPO",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.712813113649561
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5001206199104097
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.07854984894259819
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.25838926174496646
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.35018750000000004
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.36461103723404253
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/princeton-nlp/Llama-3-Instruct-8B-ORPO/b6e0cc97-27cf-4082-a908-95d5c39014b8.json b/data/hfopenllm_v2/princeton-nlp/Llama-3-Instruct-8B-ORPO/b6e0cc97-27cf-4082-a908-95d5c39014b8.json
new file mode 100644
index 000000000..64f178681
--- /dev/null
+++ b/data/hfopenllm_v2/princeton-nlp/Llama-3-Instruct-8B-ORPO/b6e0cc97-27cf-4082-a908-95d5c39014b8.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/princeton-nlp_Llama-3-Instruct-8B-ORPO/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-3-Instruct-8B-ORPO",
+    "id": "princeton-nlp/Llama-3-Instruct-8B-ORPO",
+    "developer": "princeton-nlp",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7128
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5001
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0785
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2584
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3502
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3646
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/princeton-nlp/Llama-3-Instruct-8B-RDPO-v0.2/1c3ea099-8b3b-4184-9f30-e7cdeea8f24e.json b/data/hfopenllm_v2/princeton-nlp/Llama-3-Instruct-8B-RDPO-v0.2/1c3ea099-8b3b-4184-9f30-e7cdeea8f24e.json
deleted file mode 100644
index 76c41d85c..000000000
--- a/data/hfopenllm_v2/princeton-nlp/Llama-3-Instruct-8B-RDPO-v0.2/1c3ea099-8b3b-4184-9f30-e7cdeea8f24e.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/princeton-nlp_Llama-3-Instruct-8B-RDPO-v0.2/1762652580.448503",
-  "retrieved_timestamp": "1762652580.448504",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "princeton-nlp/Llama-3-Instruct-8B-RDPO-v0.2",
-    "developer": "princeton-nlp",
-    "inference_platform": "unknown",
-    "id": "princeton-nlp/Llama-3-Instruct-8B-RDPO-v0.2",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7076922565459647
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5049218189829557
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.08685800604229607
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.29278523489932884
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3804479166666666
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37741023936170215
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/princeton-nlp/Llama-3-Instruct-8B-RDPO-v0.2/3b77ec51-fd47-4bc7-9e96-ed46202fef7c.json b/data/hfopenllm_v2/princeton-nlp/Llama-3-Instruct-8B-RDPO-v0.2/3b77ec51-fd47-4bc7-9e96-ed46202fef7c.json
new file mode 100644
index 000000000..bac88e0ae
--- /dev/null
+++ b/data/hfopenllm_v2/princeton-nlp/Llama-3-Instruct-8B-RDPO-v0.2/3b77ec51-fd47-4bc7-9e96-ed46202fef7c.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/princeton-nlp_Llama-3-Instruct-8B-RDPO-v0.2/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-3-Instruct-8B-RDPO-v0.2",
+    "id": "princeton-nlp/Llama-3-Instruct-8B-RDPO-v0.2",
+    "developer": "princeton-nlp",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7077
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5049
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0869
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2928
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3804
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3774
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/princeton-nlp/Llama-3-Instruct-8B-RDPO/041d45dd-c371-4e9c-9cda-a63e3d7a1b2d.json b/data/hfopenllm_v2/princeton-nlp/Llama-3-Instruct-8B-RDPO/041d45dd-c371-4e9c-9cda-a63e3d7a1b2d.json
deleted file mode 100644
index ad6f694d4..000000000
--- a/data/hfopenllm_v2/princeton-nlp/Llama-3-Instruct-8B-RDPO/041d45dd-c371-4e9c-9cda-a63e3d7a1b2d.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/princeton-nlp_Llama-3-Instruct-8B-RDPO/1762652580.448289",
-  "retrieved_timestamp": "1762652580.44829",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "princeton-nlp/Llama-3-Instruct-8B-RDPO",
-    "developer": "princeton-nlp",
-    "inference_platform": "unknown",
-    "id": "princeton-nlp/Llama-3-Instruct-8B-RDPO",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6660017642078574
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5033626077797596
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.08459214501510574
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2827181208053691
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3752083333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.36070478723404253
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/princeton-nlp/Llama-3-Instruct-8B-RDPO/b24cdd3f-3e44-4ebe-b2b4-209ee0bbfbd3.json b/data/hfopenllm_v2/princeton-nlp/Llama-3-Instruct-8B-RDPO/b24cdd3f-3e44-4ebe-b2b4-209ee0bbfbd3.json
new file mode 100644
index 000000000..03be08868
--- /dev/null
+++ b/data/hfopenllm_v2/princeton-nlp/Llama-3-Instruct-8B-RDPO/b24cdd3f-3e44-4ebe-b2b4-209ee0bbfbd3.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/princeton-nlp_Llama-3-Instruct-8B-RDPO/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-3-Instruct-8B-RDPO",
+    "id": "princeton-nlp/Llama-3-Instruct-8B-RDPO",
+    "developer": "princeton-nlp",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.666
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5034
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0846
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2827
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3752
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3607
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/princeton-nlp/Llama-3-Instruct-8B-RRHF-v0.2/bc221748-c03b-4fee-9147-8f63b0017f0c.json b/data/hfopenllm_v2/princeton-nlp/Llama-3-Instruct-8B-RRHF-v0.2/bc221748-c03b-4fee-9147-8f63b0017f0c.json
deleted file mode 100644
index 51c24e15d..000000000
--- a/data/hfopenllm_v2/princeton-nlp/Llama-3-Instruct-8B-RRHF-v0.2/bc221748-c03b-4fee-9147-8f63b0017f0c.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/princeton-nlp_Llama-3-Instruct-8B-RRHF-v0.2/1762652580.4489532",
-  "retrieved_timestamp": "1762652580.448954",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "princeton-nlp/Llama-3-Instruct-8B-RRHF-v0.2",
-    "developer": "princeton-nlp",
-    "inference_platform": "unknown",
-    "id": "princeton-nlp/Llama-3-Instruct-8B-RRHF-v0.2",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.712488419615509
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.49838952572927536
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.08761329305135952
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2600671140939597
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37378125
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3482380319148936
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/princeton-nlp/Llama-3-Instruct-8B-RRHF-v0.2/e47a3cab-dfef-47f6-9377-9ee32489bab6.json b/data/hfopenllm_v2/princeton-nlp/Llama-3-Instruct-8B-RRHF-v0.2/e47a3cab-dfef-47f6-9377-9ee32489bab6.json
new file mode 100644
index 000000000..d4d35dc63
--- /dev/null
+++ b/data/hfopenllm_v2/princeton-nlp/Llama-3-Instruct-8B-RRHF-v0.2/e47a3cab-dfef-47f6-9377-9ee32489bab6.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/princeton-nlp_Llama-3-Instruct-8B-RRHF-v0.2/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-3-Instruct-8B-RRHF-v0.2",
+    "id": "princeton-nlp/Llama-3-Instruct-8B-RRHF-v0.2",
+    "developer": "princeton-nlp",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7125
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4984
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0876
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2601
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3738
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3482
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/princeton-nlp/Llama-3-Instruct-8B-RRHF/1e4481fe-458b-4c23-8a6c-55439fb8b4fd.json b/data/hfopenllm_v2/princeton-nlp/Llama-3-Instruct-8B-RRHF/1e4481fe-458b-4c23-8a6c-55439fb8b4fd.json
new file mode 100644
index 000000000..e44593e69
--- /dev/null
+++ b/data/hfopenllm_v2/princeton-nlp/Llama-3-Instruct-8B-RRHF/1e4481fe-458b-4c23-8a6c-55439fb8b4fd.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/princeton-nlp_Llama-3-Instruct-8B-RRHF/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-3-Instruct-8B-RRHF",
+    "id": "princeton-nlp/Llama-3-Instruct-8B-RRHF",
+    "developer": "princeton-nlp",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7275
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4911
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0967
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2802
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3476
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3644
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/princeton-nlp/Llama-3-Instruct-8B-RRHF/e93eff52-c6e1-474e-8089-f672000fe1e5.json b/data/hfopenllm_v2/princeton-nlp/Llama-3-Instruct-8B-RRHF/e93eff52-c6e1-474e-8089-f672000fe1e5.json
deleted file mode 100644
index c2c95dd30..000000000
--- a/data/hfopenllm_v2/princeton-nlp/Llama-3-Instruct-8B-RRHF/e93eff52-c6e1-474e-8089-f672000fe1e5.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/princeton-nlp_Llama-3-Instruct-8B-RRHF/1762652580.4487302",
-  "retrieved_timestamp": "1762652580.448731",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "princeton-nlp/Llama-3-Instruct-8B-RRHF",
-    "developer": "princeton-nlp",
-    "inference_platform": "unknown",
-    "id": "princeton-nlp/Llama-3-Instruct-8B-RRHF",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7274509412802475
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.49105468765647214
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.09667673716012085
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2802013422818792
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3475520833333334
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.36436170212765956
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/princeton-nlp/Llama-3-Instruct-8B-SLiC-HF-v0.2/5a5746dd-0270-4151-b774-8eaa6860d5e0.json b/data/hfopenllm_v2/princeton-nlp/Llama-3-Instruct-8B-SLiC-HF-v0.2/5a5746dd-0270-4151-b774-8eaa6860d5e0.json
deleted file mode 100644
index 6418b7ac8..000000000
--- a/data/hfopenllm_v2/princeton-nlp/Llama-3-Instruct-8B-SLiC-HF-v0.2/5a5746dd-0270-4151-b774-8eaa6860d5e0.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/princeton-nlp_Llama-3-Instruct-8B-SLiC-HF-v0.2/1762652580.4493709",
-  "retrieved_timestamp": "1762652580.4493718",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "princeton-nlp/Llama-3-Instruct-8B-SLiC-HF-v0.2",
-    "developer": "princeton-nlp",
-    "inference_platform": "unknown",
-    "id": "princeton-nlp/Llama-3-Instruct-8B-SLiC-HF-v0.2",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7109646848140712
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.49838952572927536
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-      "evaluation_name": "GPQA",
-      "metric_config": {
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-        "min_score": 0,
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-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
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-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37378125
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-}
diff --git a/data/hfopenllm_v2/princeton-nlp/Llama-3-Instruct-8B-SLiC-HF-v0.2/6421e9dc-e7ca-4e1c-9f4f-1d1ac409c4d1.json b/data/hfopenllm_v2/princeton-nlp/Llama-3-Instruct-8B-SLiC-HF-v0.2/6421e9dc-e7ca-4e1c-9f4f-1d1ac409c4d1.json
new file mode 100644
index 000000000..7c04e216a
--- /dev/null
+++ b/data/hfopenllm_v2/princeton-nlp/Llama-3-Instruct-8B-SLiC-HF-v0.2/6421e9dc-e7ca-4e1c-9f4f-1d1ac409c4d1.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/princeton-nlp_Llama-3-Instruct-8B-SLiC-HF-v0.2/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-3-Instruct-8B-SLiC-HF-v0.2",
+    "id": "princeton-nlp/Llama-3-Instruct-8B-SLiC-HF-v0.2",
+    "developer": "princeton-nlp",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.711
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4984
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0876
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2601
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3738
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3482
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/princeton-nlp/Llama-3-Instruct-8B-SLiC-HF/55f43b53-6ed9-4c16-bf75-c968999a6f36.json b/data/hfopenllm_v2/princeton-nlp/Llama-3-Instruct-8B-SLiC-HF/55f43b53-6ed9-4c16-bf75-c968999a6f36.json
new file mode 100644
index 000000000..abb7ea88f
--- /dev/null
+++ b/data/hfopenllm_v2/princeton-nlp/Llama-3-Instruct-8B-SLiC-HF/55f43b53-6ed9-4c16-bf75-c968999a6f36.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/princeton-nlp_Llama-3-Instruct-8B-SLiC-HF/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-3-Instruct-8B-SLiC-HF",
+    "id": "princeton-nlp/Llama-3-Instruct-8B-SLiC-HF",
+    "developer": "princeton-nlp",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.74
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5029
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0974
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2861
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3723
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3585
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/princeton-nlp/Llama-3-Instruct-8B-SLiC-HF/aaa9cd01-cca9-489c-91e0-79ff026eb258.json b/data/hfopenllm_v2/princeton-nlp/Llama-3-Instruct-8B-SLiC-HF/aaa9cd01-cca9-489c-91e0-79ff026eb258.json
deleted file mode 100644
index 716a4f240..000000000
--- a/data/hfopenllm_v2/princeton-nlp/Llama-3-Instruct-8B-SLiC-HF/aaa9cd01-cca9-489c-91e0-79ff026eb258.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/princeton-nlp_Llama-3-Instruct-8B-SLiC-HF/1762652580.449163",
-  "retrieved_timestamp": "1762652580.449164",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "princeton-nlp/Llama-3-Instruct-8B-SLiC-HF",
-    "developer": "princeton-nlp",
-    "inference_platform": "unknown",
-    "id": "princeton-nlp/Llama-3-Instruct-8B-SLiC-HF",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7399655137258031
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5029422936734547
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.09743202416918428
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2860738255033557
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3722916666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.35846077127659576
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/princeton-nlp/Llama-3-Instruct-8B-SimPO-v0.2/5e499da1-f8c1-4830-828c-7d4013ea0243.json b/data/hfopenllm_v2/princeton-nlp/Llama-3-Instruct-8B-SimPO-v0.2/5e499da1-f8c1-4830-828c-7d4013ea0243.json
deleted file mode 100644
index ec7b25170..000000000
--- a/data/hfopenllm_v2/princeton-nlp/Llama-3-Instruct-8B-SimPO-v0.2/5e499da1-f8c1-4830-828c-7d4013ea0243.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/princeton-nlp_Llama-3-Instruct-8B-SimPO-v0.2/1762652580.44994",
-  "retrieved_timestamp": "1762652580.449941",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "princeton-nlp/Llama-3-Instruct-8B-SimPO-v0.2",
-    "developer": "princeton-nlp",
-    "inference_platform": "unknown",
-    "id": "princeton-nlp/Llama-3-Instruct-8B-SimPO-v0.2",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6808645505037745
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.503833834044343
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.07401812688821752
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3011744966442953
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3988020833333334
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.36220079787234044
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/princeton-nlp/Llama-3-Instruct-8B-SimPO-v0.2/6ce93e70-04b1-46b8-b3e3-7eb0df35e1c1.json b/data/hfopenllm_v2/princeton-nlp/Llama-3-Instruct-8B-SimPO-v0.2/6ce93e70-04b1-46b8-b3e3-7eb0df35e1c1.json
new file mode 100644
index 000000000..ffe9fbf5e
--- /dev/null
+++ b/data/hfopenllm_v2/princeton-nlp/Llama-3-Instruct-8B-SimPO-v0.2/6ce93e70-04b1-46b8-b3e3-7eb0df35e1c1.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/princeton-nlp_Llama-3-Instruct-8B-SimPO-v0.2/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-3-Instruct-8B-SimPO-v0.2",
+    "id": "princeton-nlp/Llama-3-Instruct-8B-SimPO-v0.2",
+    "developer": "princeton-nlp",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6809
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5038
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.074
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3012
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3988
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3622
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/princeton-nlp/Llama-3-Instruct-8B-SimPO/95096a89-2baf-4b14-bc6e-1f30e920c086.json b/data/hfopenllm_v2/princeton-nlp/Llama-3-Instruct-8B-SimPO/95096a89-2baf-4b14-bc6e-1f30e920c086.json
new file mode 100644
index 000000000..c46b79969
--- /dev/null
+++ b/data/hfopenllm_v2/princeton-nlp/Llama-3-Instruct-8B-SimPO/95096a89-2baf-4b14-bc6e-1f30e920c086.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/princeton-nlp_Llama-3-Instruct-8B-SimPO/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-3-Instruct-8B-SimPO",
+    "id": "princeton-nlp/Llama-3-Instruct-8B-SimPO",
+    "developer": "princeton-nlp",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6504
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4845
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0861
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2936
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3948
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3489
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/princeton-nlp/Llama-3-Instruct-8B-SimPO/fcd2c5e3-ebfd-4c1c-ac8a-d28ec08f1bf2.json b/data/hfopenllm_v2/princeton-nlp/Llama-3-Instruct-8B-SimPO/fcd2c5e3-ebfd-4c1c-ac8a-d28ec08f1bf2.json
deleted file mode 100644
index 58ed138d1..000000000
--- a/data/hfopenllm_v2/princeton-nlp/Llama-3-Instruct-8B-SimPO/fcd2c5e3-ebfd-4c1c-ac8a-d28ec08f1bf2.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/princeton-nlp_Llama-3-Instruct-8B-SimPO/1762652580.449708",
-  "retrieved_timestamp": "1762652580.449709",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "princeton-nlp/Llama-3-Instruct-8B-SimPO",
-    "developer": "princeton-nlp",
-    "inference_platform": "unknown",
-    "id": "princeton-nlp/Llama-3-Instruct-8B-SimPO",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6503898544750152
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.48446848524905367
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.08610271903323263
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2936241610738255
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.39483333333333337
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3489029255319149
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/princeton-nlp/Mistral-7B-Base-SFT-CPO/4c2ab1ed-8177-4518-ae3d-754f9711369d.json b/data/hfopenllm_v2/princeton-nlp/Mistral-7B-Base-SFT-CPO/4c2ab1ed-8177-4518-ae3d-754f9711369d.json
deleted file mode 100644
index 6a4310b7e..000000000
--- a/data/hfopenllm_v2/princeton-nlp/Mistral-7B-Base-SFT-CPO/4c2ab1ed-8177-4518-ae3d-754f9711369d.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/princeton-nlp_Mistral-7B-Base-SFT-CPO/1762652580.45017",
-  "retrieved_timestamp": "1762652580.450171",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "princeton-nlp/Mistral-7B-Base-SFT-CPO",
-    "developer": "princeton-nlp",
-    "inference_platform": "unknown",
-    "id": "princeton-nlp/Mistral-7B-Base-SFT-CPO",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.46549267055856236
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.43821512506663574
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.027945619335347432
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.29194630872483224
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4070833333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.26512632978723405
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/princeton-nlp/Mistral-7B-Base-SFT-CPO/f1651632-2787-47cf-b471-89d1b89a6b01.json b/data/hfopenllm_v2/princeton-nlp/Mistral-7B-Base-SFT-CPO/f1651632-2787-47cf-b471-89d1b89a6b01.json
new file mode 100644
index 000000000..625ad8634
--- /dev/null
+++ b/data/hfopenllm_v2/princeton-nlp/Mistral-7B-Base-SFT-CPO/f1651632-2787-47cf-b471-89d1b89a6b01.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/princeton-nlp_Mistral-7B-Base-SFT-CPO/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Mistral-7B-Base-SFT-CPO",
+    "id": "princeton-nlp/Mistral-7B-Base-SFT-CPO",
+    "developer": "princeton-nlp",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4655
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4382
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0279
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2919
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4071
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2651
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/princeton-nlp/Mistral-7B-Base-SFT-DPO/133d7669-db7f-47b6-b838-51b9577a9e68.json b/data/hfopenllm_v2/princeton-nlp/Mistral-7B-Base-SFT-DPO/133d7669-db7f-47b6-b838-51b9577a9e68.json
deleted file mode 100644
index c715a451c..000000000
--- a/data/hfopenllm_v2/princeton-nlp/Mistral-7B-Base-SFT-DPO/133d7669-db7f-47b6-b838-51b9577a9e68.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/princeton-nlp_Mistral-7B-Base-SFT-DPO/1762652580.450392",
-  "retrieved_timestamp": "1762652580.4503932",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "princeton-nlp/Mistral-7B-Base-SFT-DPO",
-    "developer": "princeton-nlp",
-    "inference_platform": "unknown",
-    "id": "princeton-nlp/Mistral-7B-Base-SFT-DPO",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.44033830237104216
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.43501123979612694
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.021148036253776436
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2726510067114094
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41222916666666665
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-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.26454454787234044
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/princeton-nlp/Mistral-7B-Base-SFT-DPO/e1fb2ac9-8f60-4dc1-9e0d-99fcb91a53a9.json b/data/hfopenllm_v2/princeton-nlp/Mistral-7B-Base-SFT-DPO/e1fb2ac9-8f60-4dc1-9e0d-99fcb91a53a9.json
new file mode 100644
index 000000000..a960ca923
--- /dev/null
+++ b/data/hfopenllm_v2/princeton-nlp/Mistral-7B-Base-SFT-DPO/e1fb2ac9-8f60-4dc1-9e0d-99fcb91a53a9.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/princeton-nlp_Mistral-7B-Base-SFT-DPO/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Mistral-7B-Base-SFT-DPO",
+    "id": "princeton-nlp/Mistral-7B-Base-SFT-DPO",
+    "developer": "princeton-nlp",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4403
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.435
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0211
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2727
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4122
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2645
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/princeton-nlp/Mistral-7B-Base-SFT-IPO/b402d383-b80e-4cd9-b2ec-a1e435f67ac5.json b/data/hfopenllm_v2/princeton-nlp/Mistral-7B-Base-SFT-IPO/b402d383-b80e-4cd9-b2ec-a1e435f67ac5.json
deleted file mode 100644
index d122a81ef..000000000
--- a/data/hfopenllm_v2/princeton-nlp/Mistral-7B-Base-SFT-IPO/b402d383-b80e-4cd9-b2ec-a1e435f67ac5.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/princeton-nlp_Mistral-7B-Base-SFT-IPO/1762652580.4506009",
-  "retrieved_timestamp": "1762652580.450602",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "princeton-nlp/Mistral-7B-Base-SFT-IPO",
-    "developer": "princeton-nlp",
-    "inference_platform": "unknown",
-    "id": "princeton-nlp/Mistral-7B-Base-SFT-IPO",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.48295300912689443
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4458024605899282
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.028700906344410877
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2802013422818792
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37762500000000004
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2791722074468085
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/princeton-nlp/Mistral-7B-Base-SFT-IPO/d3accbc1-d698-4357-ab08-0b98fb49b4ed.json b/data/hfopenllm_v2/princeton-nlp/Mistral-7B-Base-SFT-IPO/d3accbc1-d698-4357-ab08-0b98fb49b4ed.json
new file mode 100644
index 000000000..908f14ac8
--- /dev/null
+++ b/data/hfopenllm_v2/princeton-nlp/Mistral-7B-Base-SFT-IPO/d3accbc1-d698-4357-ab08-0b98fb49b4ed.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/princeton-nlp_Mistral-7B-Base-SFT-IPO/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Mistral-7B-Base-SFT-IPO",
+    "id": "princeton-nlp/Mistral-7B-Base-SFT-IPO",
+    "developer": "princeton-nlp",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.483
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4458
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0287
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2802
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3776
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2792
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/princeton-nlp/Mistral-7B-Base-SFT-KTO/5388a25a-5780-4ae1-999f-172b558a7b52.json b/data/hfopenllm_v2/princeton-nlp/Mistral-7B-Base-SFT-KTO/5388a25a-5780-4ae1-999f-172b558a7b52.json
new file mode 100644
index 000000000..31e5cf5b4
--- /dev/null
+++ b/data/hfopenllm_v2/princeton-nlp/Mistral-7B-Base-SFT-KTO/5388a25a-5780-4ae1-999f-172b558a7b52.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/princeton-nlp_Mistral-7B-Base-SFT-KTO/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Mistral-7B-Base-SFT-KTO",
+    "id": "princeton-nlp/Mistral-7B-Base-SFT-KTO",
+    "developer": "princeton-nlp",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4785
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4476
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0393
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2903
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4368
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2872
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/princeton-nlp/Mistral-7B-Base-SFT-KTO/a0048817-4f45-4bca-ac1a-b7e0c25bd7ab.json b/data/hfopenllm_v2/princeton-nlp/Mistral-7B-Base-SFT-KTO/a0048817-4f45-4bca-ac1a-b7e0c25bd7ab.json
deleted file mode 100644
index c6f1fb012..000000000
--- a/data/hfopenllm_v2/princeton-nlp/Mistral-7B-Base-SFT-KTO/a0048817-4f45-4bca-ac1a-b7e0c25bd7ab.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/princeton-nlp_Mistral-7B-Base-SFT-KTO/1762652580.450817",
-  "retrieved_timestamp": "1762652580.450818",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "princeton-nlp/Mistral-7B-Base-SFT-KTO",
-    "developer": "princeton-nlp",
-    "inference_platform": "unknown",
-    "id": "princeton-nlp/Mistral-7B-Base-SFT-KTO",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.478481540091402
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.44764334464528677
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.03927492447129909
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2902684563758389
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.43678124999999995
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.28715093085106386
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/princeton-nlp/Mistral-7B-Base-SFT-RDPO/034fa9fa-4103-428d-a50e-b117ef5e0726.json b/data/hfopenllm_v2/princeton-nlp/Mistral-7B-Base-SFT-RDPO/034fa9fa-4103-428d-a50e-b117ef5e0726.json
deleted file mode 100644
index 3257bfec3..000000000
--- a/data/hfopenllm_v2/princeton-nlp/Mistral-7B-Base-SFT-RDPO/034fa9fa-4103-428d-a50e-b117ef5e0726.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/princeton-nlp_Mistral-7B-Base-SFT-RDPO/1762652580.451031",
-  "retrieved_timestamp": "1762652580.4510322",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "princeton-nlp/Mistral-7B-Base-SFT-RDPO",
-    "developer": "princeton-nlp",
-    "inference_platform": "unknown",
-    "id": "princeton-nlp/Mistral-7B-Base-SFT-RDPO",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.46064663980460735
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.44395328626924213
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.02190332326283988
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.27768456375838924
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3579375
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.27767619680851063
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/princeton-nlp/Mistral-7B-Base-SFT-RDPO/9e4143ff-d461-4fdb-8bc7-86f959f69e68.json b/data/hfopenllm_v2/princeton-nlp/Mistral-7B-Base-SFT-RDPO/9e4143ff-d461-4fdb-8bc7-86f959f69e68.json
new file mode 100644
index 000000000..56f6acce0
--- /dev/null
+++ b/data/hfopenllm_v2/princeton-nlp/Mistral-7B-Base-SFT-RDPO/9e4143ff-d461-4fdb-8bc7-86f959f69e68.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/princeton-nlp_Mistral-7B-Base-SFT-RDPO/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Mistral-7B-Base-SFT-RDPO",
+    "id": "princeton-nlp/Mistral-7B-Base-SFT-RDPO",
+    "developer": "princeton-nlp",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4606
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.444
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0219
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2777
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3579
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2777
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/princeton-nlp/Mistral-7B-Base-SFT-RRHF/5d843bd7-b34b-41d4-92ff-c25a709b4930.json b/data/hfopenllm_v2/princeton-nlp/Mistral-7B-Base-SFT-RRHF/5d843bd7-b34b-41d4-92ff-c25a709b4930.json
new file mode 100644
index 000000000..8699b54e7
--- /dev/null
+++ b/data/hfopenllm_v2/princeton-nlp/Mistral-7B-Base-SFT-RRHF/5d843bd7-b34b-41d4-92ff-c25a709b4930.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/princeton-nlp_Mistral-7B-Base-SFT-RRHF/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Mistral-7B-Base-SFT-RRHF",
+    "id": "princeton-nlp/Mistral-7B-Base-SFT-RRHF",
+    "developer": "princeton-nlp",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4407
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4281
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0249
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2903
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4187
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2398
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/princeton-nlp/Mistral-7B-Base-SFT-RRHF/fbbd671a-3005-448a-bc15-718ba23bcf72.json b/data/hfopenllm_v2/princeton-nlp/Mistral-7B-Base-SFT-RRHF/fbbd671a-3005-448a-bc15-718ba23bcf72.json
deleted file mode 100644
index 41967ec14..000000000
--- a/data/hfopenllm_v2/princeton-nlp/Mistral-7B-Base-SFT-RRHF/fbbd671a-3005-448a-bc15-718ba23bcf72.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/princeton-nlp_Mistral-7B-Base-SFT-RRHF/1762652580.451245",
-  "retrieved_timestamp": "1762652580.451246",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "princeton-nlp/Mistral-7B-Base-SFT-RRHF",
-    "developer": "princeton-nlp",
-    "inference_platform": "unknown",
-    "id": "princeton-nlp/Mistral-7B-Base-SFT-RRHF",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.44066299640509404
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42805937403716016
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.024924471299093656
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2902684563758389
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4186770833333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.23977726063829788
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/princeton-nlp/Mistral-7B-Base-SFT-SLiC-HF/2c28dcd3-af20-41ab-9234-a8296ecc98c0.json b/data/hfopenllm_v2/princeton-nlp/Mistral-7B-Base-SFT-SLiC-HF/2c28dcd3-af20-41ab-9234-a8296ecc98c0.json
deleted file mode 100644
index fc6baebea..000000000
--- a/data/hfopenllm_v2/princeton-nlp/Mistral-7B-Base-SFT-SLiC-HF/2c28dcd3-af20-41ab-9234-a8296ecc98c0.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/princeton-nlp_Mistral-7B-Base-SFT-SLiC-HF/1762652580.451465",
-  "retrieved_timestamp": "1762652580.451466",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "princeton-nlp/Mistral-7B-Base-SFT-SLiC-HF",
-    "developer": "princeton-nlp",
-    "inference_platform": "unknown",
-    "id": "princeton-nlp/Mistral-7B-Base-SFT-SLiC-HF",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5127284494031392
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.44223991890402176
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.035498489425981876
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.29194630872483224
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42608333333333337
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2780917553191489
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/princeton-nlp/Mistral-7B-Base-SFT-SLiC-HF/87975b2f-298b-4297-8f4d-e5bb1bf5d113.json b/data/hfopenllm_v2/princeton-nlp/Mistral-7B-Base-SFT-SLiC-HF/87975b2f-298b-4297-8f4d-e5bb1bf5d113.json
new file mode 100644
index 000000000..09f698c9e
--- /dev/null
+++ b/data/hfopenllm_v2/princeton-nlp/Mistral-7B-Base-SFT-SLiC-HF/87975b2f-298b-4297-8f4d-e5bb1bf5d113.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/princeton-nlp_Mistral-7B-Base-SFT-SLiC-HF/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Mistral-7B-Base-SFT-SLiC-HF",
+    "id": "princeton-nlp/Mistral-7B-Base-SFT-SLiC-HF",
+    "developer": "princeton-nlp",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5127
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4422
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0355
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2919
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4261
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2781
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/princeton-nlp/Mistral-7B-Base-SFT-SimPO/41bb8174-f3d6-4862-b892-dbc9f6e2e696.json b/data/hfopenllm_v2/princeton-nlp/Mistral-7B-Base-SFT-SimPO/41bb8174-f3d6-4862-b892-dbc9f6e2e696.json
new file mode 100644
index 000000000..5f30fecdb
--- /dev/null
+++ b/data/hfopenllm_v2/princeton-nlp/Mistral-7B-Base-SFT-SimPO/41bb8174-f3d6-4862-b892-dbc9f6e2e696.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/princeton-nlp_Mistral-7B-Base-SFT-SimPO/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Mistral-7B-Base-SFT-SimPO",
+    "id": "princeton-nlp/Mistral-7B-Base-SFT-SimPO",
+    "developer": "princeton-nlp",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4701
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4398
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0144
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2836
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3971
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2702
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/princeton-nlp/Mistral-7B-Base-SFT-SimPO/9bed5ccb-35c0-40e1-89b8-617656787052.json b/data/hfopenllm_v2/princeton-nlp/Mistral-7B-Base-SFT-SimPO/9bed5ccb-35c0-40e1-89b8-617656787052.json
deleted file mode 100644
index e2b0b5601..000000000
--- a/data/hfopenllm_v2/princeton-nlp/Mistral-7B-Base-SFT-SimPO/9bed5ccb-35c0-40e1-89b8-617656787052.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/princeton-nlp_Mistral-7B-Base-SFT-SimPO/1762652580.4516768",
-  "retrieved_timestamp": "1762652580.451678",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "princeton-nlp/Mistral-7B-Base-SFT-SimPO",
-    "developer": "princeton-nlp",
-    "inference_platform": "unknown",
-    "id": "princeton-nlp/Mistral-7B-Base-SFT-SimPO",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.47006387496287627
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4398050727924064
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.014350453172205438
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2835570469798658
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.39706250000000004
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.27019614361702127
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/princeton-nlp/Mistral-7B-Instruct-CPO/259a0166-2ee3-409a-85ce-963d90d05ae7.json b/data/hfopenllm_v2/princeton-nlp/Mistral-7B-Instruct-CPO/259a0166-2ee3-409a-85ce-963d90d05ae7.json
deleted file mode 100644
index 51c1ec8ca..000000000
--- a/data/hfopenllm_v2/princeton-nlp/Mistral-7B-Instruct-CPO/259a0166-2ee3-409a-85ce-963d90d05ae7.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/princeton-nlp_Mistral-7B-Instruct-CPO/1762652580.4518862",
-  "retrieved_timestamp": "1762652580.4518871",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "princeton-nlp/Mistral-7B-Instruct-CPO",
-    "developer": "princeton-nlp",
-    "inference_platform": "unknown",
-    "id": "princeton-nlp/Mistral-7B-Instruct-CPO",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4203047912871182
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.406922267565148
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.02039274924471299
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.26593959731543626
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41784375
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2701130319148936
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/princeton-nlp/Mistral-7B-Instruct-CPO/683ad2cd-5e39-4088-b98b-94d89dda7b88.json b/data/hfopenllm_v2/princeton-nlp/Mistral-7B-Instruct-CPO/683ad2cd-5e39-4088-b98b-94d89dda7b88.json
new file mode 100644
index 000000000..256520f89
--- /dev/null
+++ b/data/hfopenllm_v2/princeton-nlp/Mistral-7B-Instruct-CPO/683ad2cd-5e39-4088-b98b-94d89dda7b88.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/princeton-nlp_Mistral-7B-Instruct-CPO/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Mistral-7B-Instruct-CPO",
+    "id": "princeton-nlp/Mistral-7B-Instruct-CPO",
+    "developer": "princeton-nlp",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4203
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4069
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0204
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2659
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4178
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2701
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/princeton-nlp/Mistral-7B-Instruct-DPO/08ffd7ab-ccca-4258-be6d-cbc151cc43aa.json b/data/hfopenllm_v2/princeton-nlp/Mistral-7B-Instruct-DPO/08ffd7ab-ccca-4258-be6d-cbc151cc43aa.json
new file mode 100644
index 000000000..c489fb059
--- /dev/null
+++ b/data/hfopenllm_v2/princeton-nlp/Mistral-7B-Instruct-DPO/08ffd7ab-ccca-4258-be6d-cbc151cc43aa.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/princeton-nlp_Mistral-7B-Instruct-DPO/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Mistral-7B-Instruct-DPO",
+    "id": "princeton-nlp/Mistral-7B-Instruct-DPO",
+    "developer": "princeton-nlp",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5176
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.406
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.031
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2685
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3833
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2749
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/princeton-nlp/Mistral-7B-Instruct-DPO/0df26c01-7fae-4254-8e97-e03c6078d861.json b/data/hfopenllm_v2/princeton-nlp/Mistral-7B-Instruct-DPO/0df26c01-7fae-4254-8e97-e03c6078d861.json
deleted file mode 100644
index 25be3b94e..000000000
--- a/data/hfopenllm_v2/princeton-nlp/Mistral-7B-Instruct-DPO/0df26c01-7fae-4254-8e97-e03c6078d861.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/princeton-nlp_Mistral-7B-Instruct-DPO/1762652580.4521",
-  "retrieved_timestamp": "1762652580.4521",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "princeton-nlp/Mistral-7B-Instruct-DPO",
-    "developer": "princeton-nlp",
-    "inference_platform": "unknown",
-    "id": "princeton-nlp/Mistral-7B-Instruct-DPO",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.517624347841505
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4060358459697702
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.030966767371601207
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2684563758389262
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3833333333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2748503989361702
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/princeton-nlp/Mistral-7B-Instruct-IPO/4b6efad4-c697-4f0a-8d24-75dc49d8ec06.json b/data/hfopenllm_v2/princeton-nlp/Mistral-7B-Instruct-IPO/4b6efad4-c697-4f0a-8d24-75dc49d8ec06.json
new file mode 100644
index 000000000..2ed1a6808
--- /dev/null
+++ b/data/hfopenllm_v2/princeton-nlp/Mistral-7B-Instruct-IPO/4b6efad4-c697-4f0a-8d24-75dc49d8ec06.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/princeton-nlp_Mistral-7B-Instruct-IPO/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Mistral-7B-Instruct-IPO",
+    "id": "princeton-nlp/Mistral-7B-Instruct-IPO",
+    "developer": "princeton-nlp",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4929
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4322
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0204
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2735
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4324
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2708
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/princeton-nlp/Mistral-7B-Instruct-IPO/fed6b773-040e-409b-884e-a97a1abfedc0.json b/data/hfopenllm_v2/princeton-nlp/Mistral-7B-Instruct-IPO/fed6b773-040e-409b-884e-a97a1abfedc0.json
deleted file mode 100644
index d6e87ad4a..000000000
--- a/data/hfopenllm_v2/princeton-nlp/Mistral-7B-Instruct-IPO/fed6b773-040e-409b-884e-a97a1abfedc0.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/princeton-nlp_Mistral-7B-Instruct-IPO/1762652580.45231",
-  "retrieved_timestamp": "1762652580.45231",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "princeton-nlp/Mistral-7B-Instruct-IPO",
-    "developer": "princeton-nlp",
-    "inference_platform": "unknown",
-    "id": "princeton-nlp/Mistral-7B-Instruct-IPO",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4929198969844457
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4322183023180588
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.02039274924471299
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.27348993288590606
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.43241666666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2707779255319149
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/princeton-nlp/Mistral-7B-Instruct-KTO/4986c30a-85b0-4263-9be4-d69c9b067e0c.json b/data/hfopenllm_v2/princeton-nlp/Mistral-7B-Instruct-KTO/4986c30a-85b0-4263-9be4-d69c9b067e0c.json
new file mode 100644
index 000000000..9d84a30d3
--- /dev/null
+++ b/data/hfopenllm_v2/princeton-nlp/Mistral-7B-Instruct-KTO/4986c30a-85b0-4263-9be4-d69c9b067e0c.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/princeton-nlp_Mistral-7B-Instruct-KTO/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Mistral-7B-Instruct-KTO",
+    "id": "princeton-nlp/Mistral-7B-Instruct-KTO",
+    "developer": "princeton-nlp",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4908
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.414
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0264
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2735
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3953
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2812
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/princeton-nlp/Mistral-7B-Instruct-KTO/ff079687-4519-4f0b-bb1e-2b447cb2b4c9.json b/data/hfopenllm_v2/princeton-nlp/Mistral-7B-Instruct-KTO/ff079687-4519-4f0b-bb1e-2b447cb2b4c9.json
deleted file mode 100644
index 6273514f6..000000000
--- a/data/hfopenllm_v2/princeton-nlp/Mistral-7B-Instruct-KTO/ff079687-4519-4f0b-bb1e-2b447cb2b4c9.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/princeton-nlp_Mistral-7B-Instruct-KTO/1762652580.452526",
-  "retrieved_timestamp": "1762652580.452527",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "princeton-nlp/Mistral-7B-Instruct-KTO",
-    "developer": "princeton-nlp",
-    "inference_platform": "unknown",
-    "id": "princeton-nlp/Mistral-7B-Instruct-KTO",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-      "score_details": {
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4139586477181159
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-      "evaluation_name": "GPQA",
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-        "lower_is_better": false,
-        "score_type": "continuous",
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-      "score_details": {
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-      "evaluation_name": "MUSR",
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-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
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-        "min_score": 0,
-        "max_score": 1
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-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-}
diff --git a/data/hfopenllm_v2/princeton-nlp/Mistral-7B-Instruct-ORPO/36735132-1510-42cf-a68a-c46507f52edb.json b/data/hfopenllm_v2/princeton-nlp/Mistral-7B-Instruct-ORPO/36735132-1510-42cf-a68a-c46507f52edb.json
deleted file mode 100644
index 4b64a76c5..000000000
--- a/data/hfopenllm_v2/princeton-nlp/Mistral-7B-Instruct-ORPO/36735132-1510-42cf-a68a-c46507f52edb.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/princeton-nlp_Mistral-7B-Instruct-ORPO/1762652580.452744",
-  "retrieved_timestamp": "1762652580.452745",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "princeton-nlp/Mistral-7B-Instruct-ORPO",
-    "developer": "princeton-nlp",
-    "inference_platform": "unknown",
-    "id": "princeton-nlp/Mistral-7B-Instruct-ORPO",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4719621714827768
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41040615756566107
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.02945619335347432
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.27432885906040266
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3912395833333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2662067819148936
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/princeton-nlp/Mistral-7B-Instruct-ORPO/47b5a878-1a4a-425f-ae6f-ac286f681cca.json b/data/hfopenllm_v2/princeton-nlp/Mistral-7B-Instruct-ORPO/47b5a878-1a4a-425f-ae6f-ac286f681cca.json
new file mode 100644
index 000000000..ef91d0d7f
--- /dev/null
+++ b/data/hfopenllm_v2/princeton-nlp/Mistral-7B-Instruct-ORPO/47b5a878-1a4a-425f-ae6f-ac286f681cca.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/princeton-nlp_Mistral-7B-Instruct-ORPO/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Mistral-7B-Instruct-ORPO",
+    "id": "princeton-nlp/Mistral-7B-Instruct-ORPO",
+    "developer": "princeton-nlp",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.472
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4104
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0295
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2743
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3912
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2662
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/princeton-nlp/Mistral-7B-Instruct-RDPO/992a6862-46b9-415e-858f-2eff8709ca81.json b/data/hfopenllm_v2/princeton-nlp/Mistral-7B-Instruct-RDPO/992a6862-46b9-415e-858f-2eff8709ca81.json
new file mode 100644
index 000000000..99e611d5b
--- /dev/null
+++ b/data/hfopenllm_v2/princeton-nlp/Mistral-7B-Instruct-RDPO/992a6862-46b9-415e-858f-2eff8709ca81.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/princeton-nlp_Mistral-7B-Instruct-RDPO/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Mistral-7B-Instruct-RDPO",
+    "id": "princeton-nlp/Mistral-7B-Instruct-RDPO",
+    "developer": "princeton-nlp",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4887
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.405
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0249
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2802
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3873
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2777
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/princeton-nlp/Mistral-7B-Instruct-RDPO/9989efbb-bd01-4c7c-bf30-67fa81698906.json b/data/hfopenllm_v2/princeton-nlp/Mistral-7B-Instruct-RDPO/9989efbb-bd01-4c7c-bf30-67fa81698906.json
deleted file mode 100644
index 127930a11..000000000
--- a/data/hfopenllm_v2/princeton-nlp/Mistral-7B-Instruct-RDPO/9989efbb-bd01-4c7c-bf30-67fa81698906.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/princeton-nlp_Mistral-7B-Instruct-RDPO/1762652580.452956",
-  "retrieved_timestamp": "1762652580.452957",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "princeton-nlp/Mistral-7B-Instruct-RDPO",
-    "developer": "princeton-nlp",
-    "inference_platform": "unknown",
-    "id": "princeton-nlp/Mistral-7B-Instruct-RDPO",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4887232542985944
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.40501479745073615
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.024924471299093656
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2802013422818792
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3873333333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.27767619680851063
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/princeton-nlp/Mistral-7B-Instruct-RRHF/0a5ce684-675e-4fbe-b141-df12903228f9.json b/data/hfopenllm_v2/princeton-nlp/Mistral-7B-Instruct-RRHF/0a5ce684-675e-4fbe-b141-df12903228f9.json
deleted file mode 100644
index 176473968..000000000
--- a/data/hfopenllm_v2/princeton-nlp/Mistral-7B-Instruct-RRHF/0a5ce684-675e-4fbe-b141-df12903228f9.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/princeton-nlp_Mistral-7B-Instruct-RRHF/1762652580.4531672",
-  "retrieved_timestamp": "1762652580.4531682",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "princeton-nlp/Mistral-7B-Instruct-RRHF",
-    "developer": "princeton-nlp",
-    "inference_platform": "unknown",
-    "id": "princeton-nlp/Mistral-7B-Instruct-RRHF",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.49601723427173233
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41897663476657404
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.027945619335347432
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.276006711409396
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.397875
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.26512632978723405
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/princeton-nlp/Mistral-7B-Instruct-RRHF/c6391381-c973-4068-b72c-af08762d9e5c.json b/data/hfopenllm_v2/princeton-nlp/Mistral-7B-Instruct-RRHF/c6391381-c973-4068-b72c-af08762d9e5c.json
new file mode 100644
index 000000000..d0f2bc97e
--- /dev/null
+++ b/data/hfopenllm_v2/princeton-nlp/Mistral-7B-Instruct-RRHF/c6391381-c973-4068-b72c-af08762d9e5c.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/princeton-nlp_Mistral-7B-Instruct-RRHF/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Mistral-7B-Instruct-RRHF",
+    "id": "princeton-nlp/Mistral-7B-Instruct-RRHF",
+    "developer": "princeton-nlp",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.496
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.419
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0279
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.276
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3979
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2651
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/princeton-nlp/Mistral-7B-Instruct-SLiC-HF/0f6e18e6-1b0f-43f4-a9af-6632f6ce63cc.json b/data/hfopenllm_v2/princeton-nlp/Mistral-7B-Instruct-SLiC-HF/0f6e18e6-1b0f-43f4-a9af-6632f6ce63cc.json
new file mode 100644
index 000000000..43e0e4f1d
--- /dev/null
+++ b/data/hfopenllm_v2/princeton-nlp/Mistral-7B-Instruct-SLiC-HF/0f6e18e6-1b0f-43f4-a9af-6632f6ce63cc.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/princeton-nlp_Mistral-7B-Instruct-SLiC-HF/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Mistral-7B-Instruct-SLiC-HF",
+    "id": "princeton-nlp/Mistral-7B-Instruct-SLiC-HF",
+    "developer": "princeton-nlp",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5115
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.404
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0174
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2727
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3913
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2715
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/princeton-nlp/Mistral-7B-Instruct-SLiC-HF/8b5493df-86fd-495a-8dce-9c5398795fc9.json b/data/hfopenllm_v2/princeton-nlp/Mistral-7B-Instruct-SLiC-HF/8b5493df-86fd-495a-8dce-9c5398795fc9.json
deleted file mode 100644
index f72b82a7d..000000000
--- a/data/hfopenllm_v2/princeton-nlp/Mistral-7B-Instruct-SLiC-HF/8b5493df-86fd-495a-8dce-9c5398795fc9.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/princeton-nlp_Mistral-7B-Instruct-SLiC-HF/1762652580.453388",
-  "retrieved_timestamp": "1762652580.4533892",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "princeton-nlp/Mistral-7B-Instruct-SLiC-HF",
-    "developer": "princeton-nlp",
-    "inference_platform": "unknown",
-    "id": "princeton-nlp/Mistral-7B-Instruct-SLiC-HF",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5115294086357531
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4040013641288438
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.017371601208459216
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2726510067114094
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.39130208333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.27152593085106386
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/princeton-nlp/Mistral-7B-Instruct-SimPO/56d9ee92-6774-4c9b-9861-c5f0a9945e7c.json b/data/hfopenllm_v2/princeton-nlp/Mistral-7B-Instruct-SimPO/56d9ee92-6774-4c9b-9861-c5f0a9945e7c.json
new file mode 100644
index 000000000..b5dab8271
--- /dev/null
+++ b/data/hfopenllm_v2/princeton-nlp/Mistral-7B-Instruct-SimPO/56d9ee92-6774-4c9b-9861-c5f0a9945e7c.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/princeton-nlp_Mistral-7B-Instruct-SimPO/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Mistral-7B-Instruct-SimPO",
+    "id": "princeton-nlp/Mistral-7B-Instruct-SimPO",
+    "developer": "princeton-nlp",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4687
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4507
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0287
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2785
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4098
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2797
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/princeton-nlp/Mistral-7B-Instruct-SimPO/a3d0b6ec-e2be-4ca5-b083-df3c7ea0b385.json b/data/hfopenllm_v2/princeton-nlp/Mistral-7B-Instruct-SimPO/a3d0b6ec-e2be-4ca5-b083-df3c7ea0b385.json
deleted file mode 100644
index c8bb5293a..000000000
--- a/data/hfopenllm_v2/princeton-nlp/Mistral-7B-Instruct-SimPO/a3d0b6ec-e2be-4ca5-b083-df3c7ea0b385.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/princeton-nlp_Mistral-7B-Instruct-SimPO/1762652580.45361",
-  "retrieved_timestamp": "1762652580.45361",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "princeton-nlp/Mistral-7B-Instruct-SimPO",
-    "developer": "princeton-nlp",
-    "inference_platform": "unknown",
-    "id": "princeton-nlp/Mistral-7B-Instruct-SimPO",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4686897432146704
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4507226157033399
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.028700906344410877
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2785234899328859
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
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diff --git a/data/hfopenllm_v2/princeton-nlp/Sheared-LLaMA-1.3B/d3e753cc-37fc-4d77-8b2d-da90a7843d60.json b/data/hfopenllm_v2/princeton-nlp/Sheared-LLaMA-1.3B/d3e753cc-37fc-4d77-8b2d-da90a7843d60.json
new file mode 100644
index 000000000..e3ac0d5ad
--- /dev/null
+++ b/data/hfopenllm_v2/princeton-nlp/Sheared-LLaMA-1.3B/d3e753cc-37fc-4d77-8b2d-da90a7843d60.json
@@ -0,0 +1,132 @@
+{
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+  "source_metadata": {
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+    "developer": "princeton-nlp",
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+    "additional_details": {
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+      "architecture": "LlamaForCausalLM",
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
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+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
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+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+    {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
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+        "max_score": 1.0
+      },
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+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/princeton-nlp/Sheared-LLaMA-2.7B/eb08ef6f-6631-47c4-8f52-bf9454ad34b6.json b/data/hfopenllm_v2/princeton-nlp/Sheared-LLaMA-2.7B/eb08ef6f-6631-47c4-8f52-bf9454ad34b6.json
new file mode 100644
index 000000000..8203b5fb5
--- /dev/null
+++ b/data/hfopenllm_v2/princeton-nlp/Sheared-LLaMA-2.7B/eb08ef6f-6631-47c4-8f52-bf9454ad34b6.json
@@ -0,0 +1,132 @@
+{
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+  "evaluation_id": "hfopenllm_v2/princeton-nlp_Sheared-LLaMA-2.7B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Sheared-LLaMA-2.7B",
+    "id": "princeton-nlp/Sheared-LLaMA-2.7B",
+    "developer": "princeton-nlp",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 2.7
+    }
+  },
+  "evaluation_results": [
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2417
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
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+    {
+      "evaluation_name": "MATH Level 5",
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
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+      },
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+        "evaluation_description": "Accuracy on GPQA",
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
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+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
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+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "max_score": 1.0
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+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/princeton-nlp/gemma-2-9b-it-DPO/2207b154-c5d4-4e5a-ade0-271e62d6345f.json b/data/hfopenllm_v2/princeton-nlp/gemma-2-9b-it-DPO/2207b154-c5d4-4e5a-ade0-271e62d6345f.json
new file mode 100644
index 000000000..fd91acee8
--- /dev/null
+++ b/data/hfopenllm_v2/princeton-nlp/gemma-2-9b-it-DPO/2207b154-c5d4-4e5a-ade0-271e62d6345f.json
@@ -0,0 +1,132 @@
+{
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+  "evaluation_id": "hfopenllm_v2/princeton-nlp_gemma-2-9b-it-DPO/1770682486.623709",
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+  "source_metadata": {
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+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "gemma-2-9b-it-DPO",
+    "id": "princeton-nlp/gemma-2-9b-it-DPO",
+    "developer": "princeton-nlp",
+    "inference_platform": "unknown",
+    "additional_details": {
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+      "architecture": "Gemma2ForCausalLM",
+      "params_billions": 9.242
+    }
+  },
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
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+      },
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
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+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/princeton-nlp/gemma-2-9b-it-DPO/5ed0019b-dc1e-4dd8-82e5-2d4cdb28beb9.json b/data/hfopenllm_v2/princeton-nlp/gemma-2-9b-it-DPO/5ed0019b-dc1e-4dd8-82e5-2d4cdb28beb9.json
deleted file mode 100644
index 4497cfc39..000000000
--- a/data/hfopenllm_v2/princeton-nlp/gemma-2-9b-it-DPO/5ed0019b-dc1e-4dd8-82e5-2d4cdb28beb9.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
-    "name": "princeton-nlp/gemma-2-9b-it-DPO",
-    "developer": "princeton-nlp",
-    "inference_platform": "unknown",
-    "id": "princeton-nlp/gemma-2-9b-it-DPO",
-    "additional_details": {
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-      "architecture": "Gemma2ForCausalLM",
-      "params_billions": 9.242
-    }
-  },
-  "evaluation_results": [
-    {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-    },
-    {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
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-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-    {
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-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/princeton-nlp/gemma-2-9b-it-SimPO/f4161154-7777-4261-9275-a3002a1305d8.json b/data/hfopenllm_v2/princeton-nlp/gemma-2-9b-it-SimPO/f4161154-7777-4261-9275-a3002a1305d8.json
new file mode 100644
index 000000000..0d667a77a
--- /dev/null
+++ b/data/hfopenllm_v2/princeton-nlp/gemma-2-9b-it-SimPO/f4161154-7777-4261-9275-a3002a1305d8.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/princeton-nlp_gemma-2-9b-it-SimPO/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "gemma-2-9b-it-SimPO",
+    "id": "princeton-nlp/gemma-2-9b-it-SimPO",
+    "developer": "princeton-nlp",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Gemma2ForCausalLM",
+      "params_billions": 9.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3207
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+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5839
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+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.071
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+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3356
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4123
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3975
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/prithivMLmods/Bellatrix-1.5B-xElite/7f1c6c88-823f-4597-9794-bf05c076d4d3.json b/data/hfopenllm_v2/prithivMLmods/Bellatrix-1.5B-xElite/7f1c6c88-823f-4597-9794-bf05c076d4d3.json
deleted file mode 100644
index 24dedc2e6..000000000
--- a/data/hfopenllm_v2/prithivMLmods/Bellatrix-1.5B-xElite/7f1c6c88-823f-4597-9794-bf05c076d4d3.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/prithivMLmods_Bellatrix-1.5B-xElite/1762652580.4551811",
-  "retrieved_timestamp": "1762652580.455182",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "prithivMLmods/Bellatrix-1.5B-xElite",
-    "developer": "prithivMLmods",
-    "inference_platform": "unknown",
-    "id": "prithivMLmods/Bellatrix-1.5B-xElite",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 1.777
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1964144026737944
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.35011984799236834
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.28700906344410876
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2785234899328859
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.36190625000000004
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1657247340425532
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/prithivMLmods/Bellatrix-1.5B-xElite/8523812d-1db6-4a9d-b06b-ac904191789d.json b/data/hfopenllm_v2/prithivMLmods/Bellatrix-1.5B-xElite/8523812d-1db6-4a9d-b06b-ac904191789d.json
new file mode 100644
index 000000000..a73f99ed2
--- /dev/null
+++ b/data/hfopenllm_v2/prithivMLmods/Bellatrix-1.5B-xElite/8523812d-1db6-4a9d-b06b-ac904191789d.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/prithivMLmods_Bellatrix-1.5B-xElite/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Bellatrix-1.5B-xElite",
+    "id": "prithivMLmods/Bellatrix-1.5B-xElite",
+    "developer": "prithivMLmods",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 1.777
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1964
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3501
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.287
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2785
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3619
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1657
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/prithivMLmods/Bellatrix-Tiny-1.5B-R1/4e78f82e-aa31-414c-9c59-9c8e318fff17.json b/data/hfopenllm_v2/prithivMLmods/Bellatrix-Tiny-1.5B-R1/4e78f82e-aa31-414c-9c59-9c8e318fff17.json
deleted file mode 100644
index 7d40211df..000000000
--- a/data/hfopenllm_v2/prithivMLmods/Bellatrix-Tiny-1.5B-R1/4e78f82e-aa31-414c-9c59-9c8e318fff17.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/prithivMLmods_Bellatrix-Tiny-1.5B-R1/1762652580.455581",
-  "retrieved_timestamp": "1762652580.455582",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "prithivMLmods/Bellatrix-Tiny-1.5B-R1",
-    "developer": "prithivMLmods",
-    "inference_platform": "unknown",
-    "id": "prithivMLmods/Bellatrix-Tiny-1.5B-R1",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 1.544
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.33522498082864577
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.40221745714531076
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.06042296072507553
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2986577181208054
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3682916666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.27509973404255317
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/prithivMLmods/Bellatrix-Tiny-1.5B-R1/6cd9ea81-618d-444e-a892-d4f9819daa67.json b/data/hfopenllm_v2/prithivMLmods/Bellatrix-Tiny-1.5B-R1/6cd9ea81-618d-444e-a892-d4f9819daa67.json
new file mode 100644
index 000000000..ed7c9d8c6
--- /dev/null
+++ b/data/hfopenllm_v2/prithivMLmods/Bellatrix-Tiny-1.5B-R1/6cd9ea81-618d-444e-a892-d4f9819daa67.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/prithivMLmods_Bellatrix-Tiny-1.5B-R1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Bellatrix-Tiny-1.5B-R1",
+    "id": "prithivMLmods/Bellatrix-Tiny-1.5B-R1",
+    "developer": "prithivMLmods",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 1.544
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3352
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4022
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0604
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2987
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3683
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2751
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/prithivMLmods/Bellatrix-Tiny-1B-v2/2217326d-377a-4503-8180-206c12c87436.json b/data/hfopenllm_v2/prithivMLmods/Bellatrix-Tiny-1B-v2/2217326d-377a-4503-8180-206c12c87436.json
new file mode 100644
index 000000000..e1aaf8729
--- /dev/null
+++ b/data/hfopenllm_v2/prithivMLmods/Bellatrix-Tiny-1B-v2/2217326d-377a-4503-8180-206c12c87436.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/prithivMLmods_Bellatrix-Tiny-1B-v2/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Bellatrix-Tiny-1B-v2",
+    "id": "prithivMLmods/Bellatrix-Tiny-1B-v2",
+    "developer": "prithivMLmods",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 1.236
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.151
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3268
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0287
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2727
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.343
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1493
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/prithivMLmods/Bellatrix-Tiny-1B-v2/715be726-e0e3-4589-91cf-85e41dbcbf8a.json b/data/hfopenllm_v2/prithivMLmods/Bellatrix-Tiny-1B-v2/715be726-e0e3-4589-91cf-85e41dbcbf8a.json
deleted file mode 100644
index 20b0df048..000000000
--- a/data/hfopenllm_v2/prithivMLmods/Bellatrix-Tiny-1B-v2/715be726-e0e3-4589-91cf-85e41dbcbf8a.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/prithivMLmods_Bellatrix-Tiny-1B-v2/1762652580.4558249",
-  "retrieved_timestamp": "1762652580.4558249",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "prithivMLmods/Bellatrix-Tiny-1B-v2",
-    "developer": "prithivMLmods",
-    "inference_platform": "unknown",
-    "id": "prithivMLmods/Bellatrix-Tiny-1B-v2",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 1.236
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.15095169705270903
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3267684418723903
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.028700906344410877
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2726510067114094
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.34302083333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.14926861702127658
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/prithivMLmods/Blaze-14B-xElite/3bbb10fc-e3b9-4c6a-ac35-ee5de9ecd330.json b/data/hfopenllm_v2/prithivMLmods/Blaze-14B-xElite/3bbb10fc-e3b9-4c6a-ac35-ee5de9ecd330.json
new file mode 100644
index 000000000..b456222e3
--- /dev/null
+++ b/data/hfopenllm_v2/prithivMLmods/Blaze-14B-xElite/3bbb10fc-e3b9-4c6a-ac35-ee5de9ecd330.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/prithivMLmods_Blaze-14B-xElite/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Blaze-14B-xElite",
+    "id": "prithivMLmods/Blaze-14B-xElite",
+    "developer": "prithivMLmods",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 14.66
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0363
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6628
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3693
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3943
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4625
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5111
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/prithivMLmods/Blaze-14B-xElite/c4041b70-acce-4088-a3b9-299d4424e240.json b/data/hfopenllm_v2/prithivMLmods/Blaze-14B-xElite/c4041b70-acce-4088-a3b9-299d4424e240.json
deleted file mode 100644
index 24a3fe08f..000000000
--- a/data/hfopenllm_v2/prithivMLmods/Blaze-14B-xElite/c4041b70-acce-4088-a3b9-299d4424e240.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/prithivMLmods_Blaze-14B-xElite/1762652580.456049",
-  "retrieved_timestamp": "1762652580.45605",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "prithivMLmods/Blaze-14B-xElite",
-    "developer": "prithivMLmods",
-    "inference_platform": "unknown",
-    "id": "prithivMLmods/Blaze-14B-xElite",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 14.66
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.03632029681245762
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6627817236091689
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3693353474320242
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.39429530201342283
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.46248958333333334
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5111369680851063
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/prithivMLmods/COCO-7B-Instruct-1M/01124f11-b739-422b-97f7-062074b8d0fb.json b/data/hfopenllm_v2/prithivMLmods/COCO-7B-Instruct-1M/01124f11-b739-422b-97f7-062074b8d0fb.json
new file mode 100644
index 000000000..7b3bedda6
--- /dev/null
+++ b/data/hfopenllm_v2/prithivMLmods/COCO-7B-Instruct-1M/01124f11-b739-422b-97f7-062074b8d0fb.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/prithivMLmods_COCO-7B-Instruct-1M/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "COCO-7B-Instruct-1M",
+    "id": "prithivMLmods/COCO-7B-Instruct-1M",
+    "developer": "prithivMLmods",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4743
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.541
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3497
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3079
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4382
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4186
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/prithivMLmods/COCO-7B-Instruct-1M/a7b425bc-9160-44ed-abf1-18c3b84cede2.json b/data/hfopenllm_v2/prithivMLmods/COCO-7B-Instruct-1M/a7b425bc-9160-44ed-abf1-18c3b84cede2.json
deleted file mode 100644
index f68e49749..000000000
--- a/data/hfopenllm_v2/prithivMLmods/COCO-7B-Instruct-1M/a7b425bc-9160-44ed-abf1-18c3b84cede2.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/prithivMLmods_COCO-7B-Instruct-1M/1762652580.456335",
-  "retrieved_timestamp": "1762652580.456337",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "prithivMLmods/COCO-7B-Instruct-1M",
-    "developer": "prithivMLmods",
-    "inference_platform": "unknown",
-    "id": "prithivMLmods/COCO-7B-Instruct-1M",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.616
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4743103853331383
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5409956853800891
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3496978851963746
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30788590604026844
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4382395833333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41863364361702127
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/prithivMLmods/Calcium-Opus-14B-Elite-1M/0c883e9c-4cec-4c65-aa10-96e0d0de2e1f.json b/data/hfopenllm_v2/prithivMLmods/Calcium-Opus-14B-Elite-1M/0c883e9c-4cec-4c65-aa10-96e0d0de2e1f.json
deleted file mode 100644
index 64f65540f..000000000
--- a/data/hfopenllm_v2/prithivMLmods/Calcium-Opus-14B-Elite-1M/0c883e9c-4cec-4c65-aa10-96e0d0de2e1f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/prithivMLmods_Calcium-Opus-14B-Elite-1M/1762652580.457102",
-  "retrieved_timestamp": "1762652580.457103",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "prithivMLmods/Calcium-Opus-14B-Elite-1M",
-    "developer": "prithivMLmods",
-    "inference_platform": "unknown",
-    "id": "prithivMLmods/Calcium-Opus-14B-Elite-1M",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 14.77
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5612884923115112
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6329399079569701
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.44561933534743203
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3523489932885906
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.46760416666666665
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5152094414893617
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/prithivMLmods/Calcium-Opus-14B-Elite-1M/7cc4c93b-7c43-4bed-84a3-fa1cd9130abb.json b/data/hfopenllm_v2/prithivMLmods/Calcium-Opus-14B-Elite-1M/7cc4c93b-7c43-4bed-84a3-fa1cd9130abb.json
new file mode 100644
index 000000000..f174ff65b
--- /dev/null
+++ b/data/hfopenllm_v2/prithivMLmods/Calcium-Opus-14B-Elite-1M/7cc4c93b-7c43-4bed-84a3-fa1cd9130abb.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/prithivMLmods_Calcium-Opus-14B-Elite-1M/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Calcium-Opus-14B-Elite-1M",
+    "id": "prithivMLmods/Calcium-Opus-14B-Elite-1M",
+    "developer": "prithivMLmods",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.77
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5613
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6329
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4456
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3523
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4676
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5152
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/prithivMLmods/Calcium-Opus-14B-Elite-Stock/74d10ea5-3d08-4bb2-9246-5e053eb20fea.json b/data/hfopenllm_v2/prithivMLmods/Calcium-Opus-14B-Elite-Stock/74d10ea5-3d08-4bb2-9246-5e053eb20fea.json
deleted file mode 100644
index b9c397afe..000000000
--- a/data/hfopenllm_v2/prithivMLmods/Calcium-Opus-14B-Elite-Stock/74d10ea5-3d08-4bb2-9246-5e053eb20fea.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/prithivMLmods_Calcium-Opus-14B-Elite-Stock/1762652580.457346",
-  "retrieved_timestamp": "1762652580.4573472",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "prithivMLmods/Calcium-Opus-14B-Elite-Stock",
-    "developer": "prithivMLmods",
-    "inference_platform": "unknown",
-    "id": "prithivMLmods/Calcium-Opus-14B-Elite-Stock",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 14.766
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.614294516327788
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6328767168557433
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.46676737160120846
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.36828859060402686
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.48075
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5284242021276596
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/prithivMLmods/Calcium-Opus-14B-Elite-Stock/bf3aa551-f9c6-4203-b2d4-55cf9e6e2872.json b/data/hfopenllm_v2/prithivMLmods/Calcium-Opus-14B-Elite-Stock/bf3aa551-f9c6-4203-b2d4-55cf9e6e2872.json
new file mode 100644
index 000000000..5f39e061c
--- /dev/null
+++ b/data/hfopenllm_v2/prithivMLmods/Calcium-Opus-14B-Elite-Stock/bf3aa551-f9c6-4203-b2d4-55cf9e6e2872.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/prithivMLmods_Calcium-Opus-14B-Elite-Stock/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Calcium-Opus-14B-Elite-Stock",
+    "id": "prithivMLmods/Calcium-Opus-14B-Elite-Stock",
+    "developer": "prithivMLmods",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.766
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6143
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6329
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4668
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3683
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4808
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5284
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/prithivMLmods/Calcium-Opus-14B-Elite/2eae8905-5338-4a78-86e7-d354d06efa23.json b/data/hfopenllm_v2/prithivMLmods/Calcium-Opus-14B-Elite/2eae8905-5338-4a78-86e7-d354d06efa23.json
new file mode 100644
index 000000000..ead3156a2
--- /dev/null
+++ b/data/hfopenllm_v2/prithivMLmods/Calcium-Opus-14B-Elite/2eae8905-5338-4a78-86e7-d354d06efa23.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/prithivMLmods_Calcium-Opus-14B-Elite/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Calcium-Opus-14B-Elite",
+    "id": "prithivMLmods/Calcium-Opus-14B-Elite",
+    "developer": "prithivMLmods",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.766
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6064
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6296
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3708
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3733
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4873
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5307
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/prithivMLmods/Calcium-Opus-14B-Elite/487e1883-01c6-4714-9447-67837c78655b.json b/data/hfopenllm_v2/prithivMLmods/Calcium-Opus-14B-Elite/487e1883-01c6-4714-9447-67837c78655b.json
deleted file mode 100644
index bf32a49fa..000000000
--- a/data/hfopenllm_v2/prithivMLmods/Calcium-Opus-14B-Elite/487e1883-01c6-4714-9447-67837c78655b.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/prithivMLmods_Calcium-Opus-14B-Elite/1762652580.456628",
-  "retrieved_timestamp": "1762652580.456629",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "prithivMLmods/Calcium-Opus-14B-Elite",
-    "developer": "prithivMLmods",
-    "inference_platform": "unknown",
-    "id": "prithivMLmods/Calcium-Opus-14B-Elite",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 14.766
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6051521075191603
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6317361472468987
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-      "evaluation_name": "GPQA",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37416107382550334
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5301695478723404
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/prithivMLmods/Calcium-Opus-14B-Elite/79bccc27-27a0-4194-9c46-5e89b0f21b9e.json b/data/hfopenllm_v2/prithivMLmods/Calcium-Opus-14B-Elite/79bccc27-27a0-4194-9c46-5e89b0f21b9e.json
deleted file mode 100644
index 01da8e370..000000000
--- a/data/hfopenllm_v2/prithivMLmods/Calcium-Opus-14B-Elite/79bccc27-27a0-4194-9c46-5e89b0f21b9e.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/prithivMLmods_Calcium-Opus-14B-Elite/1762652580.456884",
-  "retrieved_timestamp": "1762652580.456885",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "prithivMLmods/Calcium-Opus-14B-Elite",
-    "developer": "prithivMLmods",
-    "inference_platform": "unknown",
-    "id": "prithivMLmods/Calcium-Opus-14B-Elite",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 14.766
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6063511482865463
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6295900497885079
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37084592145015105
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3733221476510067
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.48732291666666666
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5306682180851063
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/prithivMLmods/Calcium-Opus-14B-Elite/9dcc4121-e046-49c7-969e-7255b0c32d3d.json b/data/hfopenllm_v2/prithivMLmods/Calcium-Opus-14B-Elite/9dcc4121-e046-49c7-969e-7255b0c32d3d.json
new file mode 100644
index 000000000..4683966d3
--- /dev/null
+++ b/data/hfopenllm_v2/prithivMLmods/Calcium-Opus-14B-Elite/9dcc4121-e046-49c7-969e-7255b0c32d3d.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/prithivMLmods_Calcium-Opus-14B-Elite/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Calcium-Opus-14B-Elite",
+    "id": "prithivMLmods/Calcium-Opus-14B-Elite",
+    "developer": "prithivMLmods",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.766
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6052
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6317
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4789
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3742
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.486
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5302
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/prithivMLmods/Calcium-Opus-14B-Elite2-R1/6eeb591b-aed2-4cdd-85bb-75011c9c5760.json b/data/hfopenllm_v2/prithivMLmods/Calcium-Opus-14B-Elite2-R1/6eeb591b-aed2-4cdd-85bb-75011c9c5760.json
deleted file mode 100644
index 34810e3c5..000000000
--- a/data/hfopenllm_v2/prithivMLmods/Calcium-Opus-14B-Elite2-R1/6eeb591b-aed2-4cdd-85bb-75011c9c5760.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/prithivMLmods_Calcium-Opus-14B-Elite2-R1/1762652580.457828",
-  "retrieved_timestamp": "1762652580.4578292",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "prithivMLmods/Calcium-Opus-14B-Elite2-R1",
-    "developer": "prithivMLmods",
-    "inference_platform": "unknown",
-    "id": "prithivMLmods/Calcium-Opus-14B-Elite2-R1",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 14.766
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6325793339450436
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6362357624539174
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3338368580060423
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.39093959731543626
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.48998958333333337
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5247672872340425
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/prithivMLmods/Calcium-Opus-14B-Elite2-R1/dd7d4acd-549a-467b-b461-0eba5b019122.json b/data/hfopenllm_v2/prithivMLmods/Calcium-Opus-14B-Elite2-R1/dd7d4acd-549a-467b-b461-0eba5b019122.json
new file mode 100644
index 000000000..4c691d1f5
--- /dev/null
+++ b/data/hfopenllm_v2/prithivMLmods/Calcium-Opus-14B-Elite2-R1/dd7d4acd-549a-467b-b461-0eba5b019122.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/prithivMLmods_Calcium-Opus-14B-Elite2-R1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Calcium-Opus-14B-Elite2-R1",
+    "id": "prithivMLmods/Calcium-Opus-14B-Elite2-R1",
+    "developer": "prithivMLmods",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.766
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6326
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6362
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3338
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3909
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.49
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5248
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/prithivMLmods/Calcium-Opus-14B-Elite2/159969cc-32c5-4f6f-b586-8e6d44180b44.json b/data/hfopenllm_v2/prithivMLmods/Calcium-Opus-14B-Elite2/159969cc-32c5-4f6f-b586-8e6d44180b44.json
new file mode 100644
index 000000000..48a8d72bd
--- /dev/null
+++ b/data/hfopenllm_v2/prithivMLmods/Calcium-Opus-14B-Elite2/159969cc-32c5-4f6f-b586-8e6d44180b44.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/prithivMLmods_Calcium-Opus-14B-Elite2/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Calcium-Opus-14B-Elite2",
+    "id": "prithivMLmods/Calcium-Opus-14B-Elite2",
+    "developer": "prithivMLmods",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.766
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6176
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6318
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.469
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.37
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.494
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5301
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/prithivMLmods/Calcium-Opus-14B-Elite2/689d38cd-898e-43ec-92e8-238cefac6776.json b/data/hfopenllm_v2/prithivMLmods/Calcium-Opus-14B-Elite2/689d38cd-898e-43ec-92e8-238cefac6776.json
deleted file mode 100644
index 01e851ee1..000000000
--- a/data/hfopenllm_v2/prithivMLmods/Calcium-Opus-14B-Elite2/689d38cd-898e-43ec-92e8-238cefac6776.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/prithivMLmods_Calcium-Opus-14B-Elite2/1762652580.457599",
-  "retrieved_timestamp": "1762652580.4576",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "prithivMLmods/Calcium-Opus-14B-Elite2",
-    "developer": "prithivMLmods",
-    "inference_platform": "unknown",
-    "id": "prithivMLmods/Calcium-Opus-14B-Elite2",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 14.766
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6176168122803052
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6318256156619112
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4690332326283988
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3699664429530201
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.49395833333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5300864361702128
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/prithivMLmods/Calcium-Opus-14B-Elite3/2edb276e-86c5-4bde-a696-4f68fb659b4e.json b/data/hfopenllm_v2/prithivMLmods/Calcium-Opus-14B-Elite3/2edb276e-86c5-4bde-a696-4f68fb659b4e.json
deleted file mode 100644
index d3ff3ae39..000000000
--- a/data/hfopenllm_v2/prithivMLmods/Calcium-Opus-14B-Elite3/2edb276e-86c5-4bde-a696-4f68fb659b4e.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/prithivMLmods_Calcium-Opus-14B-Elite3/1762652580.458055",
-  "retrieved_timestamp": "1762652580.458056",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "prithivMLmods/Calcium-Opus-14B-Elite3",
-    "developer": "prithivMLmods",
-    "inference_platform": "unknown",
-    "id": "prithivMLmods/Calcium-Opus-14B-Elite3",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 14.766
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5428285837134359
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6350402275340573
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4705438066465257
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37080536912751677
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4794791666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5334940159574468
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/prithivMLmods/Calcium-Opus-14B-Elite3/b80e559d-e519-4678-8abc-ee5591b81fac.json b/data/hfopenllm_v2/prithivMLmods/Calcium-Opus-14B-Elite3/b80e559d-e519-4678-8abc-ee5591b81fac.json
new file mode 100644
index 000000000..25816e9c4
--- /dev/null
+++ b/data/hfopenllm_v2/prithivMLmods/Calcium-Opus-14B-Elite3/b80e559d-e519-4678-8abc-ee5591b81fac.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/prithivMLmods_Calcium-Opus-14B-Elite3/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Calcium-Opus-14B-Elite3",
+    "id": "prithivMLmods/Calcium-Opus-14B-Elite3",
+    "developer": "prithivMLmods",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.766
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5428
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.635
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4705
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3708
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4795
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5335
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/prithivMLmods/Calcium-Opus-14B-Elite4/380cd349-5309-40b8-b549-ac6d6d42331a.json b/data/hfopenllm_v2/prithivMLmods/Calcium-Opus-14B-Elite4/380cd349-5309-40b8-b549-ac6d6d42331a.json
deleted file mode 100644
index 1972c0308..000000000
--- a/data/hfopenllm_v2/prithivMLmods/Calcium-Opus-14B-Elite4/380cd349-5309-40b8-b549-ac6d6d42331a.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/prithivMLmods_Calcium-Opus-14B-Elite4/1762652580.4582741",
-  "retrieved_timestamp": "1762652580.458275",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "prithivMLmods/Calcium-Opus-14B-Elite4",
-    "developer": "prithivMLmods",
-    "inference_platform": "unknown",
-    "id": "prithivMLmods/Calcium-Opus-14B-Elite4",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 14.766
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6111971790405014
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6195264951573699
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.36253776435045315
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.35570469798657717
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.46871875
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.514876994680851
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/prithivMLmods/Calcium-Opus-14B-Elite4/90c137c9-939d-4e77-9fcc-9e33551a6121.json b/data/hfopenllm_v2/prithivMLmods/Calcium-Opus-14B-Elite4/90c137c9-939d-4e77-9fcc-9e33551a6121.json
new file mode 100644
index 000000000..2a82505c9
--- /dev/null
+++ b/data/hfopenllm_v2/prithivMLmods/Calcium-Opus-14B-Elite4/90c137c9-939d-4e77-9fcc-9e33551a6121.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/prithivMLmods_Calcium-Opus-14B-Elite4/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Calcium-Opus-14B-Elite4",
+    "id": "prithivMLmods/Calcium-Opus-14B-Elite4",
+    "developer": "prithivMLmods",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.766
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6112
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6195
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+        "score": 0.3625
+      }
+    },
+    {
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+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3557
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4687
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+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5149
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/prithivMLmods/Calcium-Opus-14B-Merge/6d4dfc45-b7ff-47a2-bcf0-f12641365cbf.json b/data/hfopenllm_v2/prithivMLmods/Calcium-Opus-14B-Merge/6d4dfc45-b7ff-47a2-bcf0-f12641365cbf.json
deleted file mode 100644
index 06e05cad5..000000000
--- a/data/hfopenllm_v2/prithivMLmods/Calcium-Opus-14B-Merge/6d4dfc45-b7ff-47a2-bcf0-f12641365cbf.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/prithivMLmods_Calcium-Opus-14B-Merge/1762652580.4585001",
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-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "prithivMLmods/Calcium-Opus-14B-Merge",
-    "developer": "prithivMLmods",
-    "inference_platform": "unknown",
-    "id": "prithivMLmods/Calcium-Opus-14B-Merge",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 14.766
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4949434168007554
-      }
-    },
-    {
-      "evaluation_name": "BBH",
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-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37080536912751677
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.48608333333333337
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5355718085106383
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/prithivMLmods/Calcium-Opus-14B-Merge/f25d6fef-d337-4cf7-ba05-ca6ff5eccd52.json b/data/hfopenllm_v2/prithivMLmods/Calcium-Opus-14B-Merge/f25d6fef-d337-4cf7-ba05-ca6ff5eccd52.json
new file mode 100644
index 000000000..7ea9119d9
--- /dev/null
+++ b/data/hfopenllm_v2/prithivMLmods/Calcium-Opus-14B-Merge/f25d6fef-d337-4cf7-ba05-ca6ff5eccd52.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/prithivMLmods_Calcium-Opus-14B-Merge/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Calcium-Opus-14B-Merge",
+    "id": "prithivMLmods/Calcium-Opus-14B-Merge",
+    "developer": "prithivMLmods",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.766
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4949
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6319
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4637
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3708
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4861
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5356
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/prithivMLmods/Calcium-Opus-20B-v1/9c414577-7f2d-487a-9f2b-7675e0532ac1.json b/data/hfopenllm_v2/prithivMLmods/Calcium-Opus-20B-v1/9c414577-7f2d-487a-9f2b-7675e0532ac1.json
deleted file mode 100644
index 79baa0630..000000000
--- a/data/hfopenllm_v2/prithivMLmods/Calcium-Opus-20B-v1/9c414577-7f2d-487a-9f2b-7675e0532ac1.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/prithivMLmods_Calcium-Opus-20B-v1/1762652580.458724",
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-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
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-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "prithivMLmods/Calcium-Opus-20B-v1",
-    "developer": "prithivMLmods",
-    "inference_platform": "unknown",
-    "id": "prithivMLmods/Calcium-Opus-20B-v1",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 19.173
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3092716215197897
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.599033246250772
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.36178247734138974
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.35318791946308725
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.49433333333333335
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4734042553191489
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/prithivMLmods/Calcium-Opus-20B-v1/c6f92306-dcdc-4549-bfc2-feb62a3a6ef6.json b/data/hfopenllm_v2/prithivMLmods/Calcium-Opus-20B-v1/c6f92306-dcdc-4549-bfc2-feb62a3a6ef6.json
new file mode 100644
index 000000000..84bf99e76
--- /dev/null
+++ b/data/hfopenllm_v2/prithivMLmods/Calcium-Opus-20B-v1/c6f92306-dcdc-4549-bfc2-feb62a3a6ef6.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/prithivMLmods_Calcium-Opus-20B-v1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Calcium-Opus-20B-v1",
+    "id": "prithivMLmods/Calcium-Opus-20B-v1",
+    "developer": "prithivMLmods",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 19.173
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3093
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.599
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3618
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3532
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4943
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4734
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/prithivMLmods/Codepy-Deepthink-3B/96c64d23-d23d-486c-83a4-4c0ab4f09d60.json b/data/hfopenllm_v2/prithivMLmods/Codepy-Deepthink-3B/96c64d23-d23d-486c-83a4-4c0ab4f09d60.json
new file mode 100644
index 000000000..8b565a25a
--- /dev/null
+++ b/data/hfopenllm_v2/prithivMLmods/Codepy-Deepthink-3B/96c64d23-d23d-486c-83a4-4c0ab4f09d60.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/prithivMLmods_Codepy-Deepthink-3B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Codepy-Deepthink-3B",
+    "id": "prithivMLmods/Codepy-Deepthink-3B",
+    "developer": "prithivMLmods",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 3.213
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4327
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4259
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1156
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2794
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.331
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.309
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/prithivMLmods/Codepy-Deepthink-3B/adb6f7d5-db2f-49b1-aab4-1fd3dfcb7e34.json b/data/hfopenllm_v2/prithivMLmods/Codepy-Deepthink-3B/adb6f7d5-db2f-49b1-aab4-1fd3dfcb7e34.json
deleted file mode 100644
index 680c8de2f..000000000
--- a/data/hfopenllm_v2/prithivMLmods/Codepy-Deepthink-3B/adb6f7d5-db2f-49b1-aab4-1fd3dfcb7e34.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/prithivMLmods_Codepy-Deepthink-3B/1762652580.458943",
-  "retrieved_timestamp": "1762652580.458944",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "prithivMLmods/Codepy-Deepthink-3B",
-    "developer": "prithivMLmods",
-    "inference_platform": "unknown",
-    "id": "prithivMLmods/Codepy-Deepthink-3B",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 3.213
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.43271962836385236
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4259451388094382
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11555891238670694
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.27936241610738255
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3310208333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3090093085106383
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/prithivMLmods/Coma-II-14B/243abf0b-0f88-4b4f-ab51-6c8aebaf19be.json b/data/hfopenllm_v2/prithivMLmods/Coma-II-14B/243abf0b-0f88-4b4f-ab51-6c8aebaf19be.json
new file mode 100644
index 000000000..8f5675e29
--- /dev/null
+++ b/data/hfopenllm_v2/prithivMLmods/Coma-II-14B/243abf0b-0f88-4b4f-ab51-6c8aebaf19be.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/prithivMLmods_Coma-II-14B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Coma-II-14B",
+    "id": "prithivMLmods/Coma-II-14B",
+    "developer": "prithivMLmods",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.766
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4168
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6321
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5514
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4002
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5351
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.504
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/prithivMLmods/Coma-II-14B/785e4cde-ec97-4e36-8ee3-3fb4c2543901.json b/data/hfopenllm_v2/prithivMLmods/Coma-II-14B/785e4cde-ec97-4e36-8ee3-3fb4c2543901.json
deleted file mode 100644
index 52f312510..000000000
--- a/data/hfopenllm_v2/prithivMLmods/Coma-II-14B/785e4cde-ec97-4e36-8ee3-3fb4c2543901.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/prithivMLmods_Coma-II-14B/1762652580.4591591",
-  "retrieved_timestamp": "1762652580.45916",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "prithivMLmods/Coma-II-14B",
-    "developer": "prithivMLmods",
-    "inference_platform": "unknown",
-    "id": "prithivMLmods/Coma-II-14B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 14.766
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.416832892281369
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6320713788922736
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5513595166163142
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4001677852348993
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5351041666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5039893617021277
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/prithivMLmods/Condor-Opus-14B-Exp/438fb728-d6ad-4c28-a43c-ff82d522cd50.json b/data/hfopenllm_v2/prithivMLmods/Condor-Opus-14B-Exp/438fb728-d6ad-4c28-a43c-ff82d522cd50.json
new file mode 100644
index 000000000..8ad6643ba
--- /dev/null
+++ b/data/hfopenllm_v2/prithivMLmods/Condor-Opus-14B-Exp/438fb728-d6ad-4c28-a43c-ff82d522cd50.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/prithivMLmods_Condor-Opus-14B-Exp/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Condor-Opus-14B-Exp",
+    "id": "prithivMLmods/Condor-Opus-14B-Exp",
+    "developer": "prithivMLmods",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.77
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4043
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6154
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5227
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3918
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5194
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5014
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/prithivMLmods/Condor-Opus-14B-Exp/7b9f72e6-0280-46ba-8645-ab8dcb9ddf4d.json b/data/hfopenllm_v2/prithivMLmods/Condor-Opus-14B-Exp/7b9f72e6-0280-46ba-8645-ab8dcb9ddf4d.json
deleted file mode 100644
index 9cae80c6a..000000000
--- a/data/hfopenllm_v2/prithivMLmods/Condor-Opus-14B-Exp/7b9f72e6-0280-46ba-8645-ab8dcb9ddf4d.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/prithivMLmods_Condor-Opus-14B-Exp/1762652580.4595032",
-  "retrieved_timestamp": "1762652580.4595041",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "prithivMLmods/Condor-Opus-14B-Exp",
-    "developer": "prithivMLmods",
-    "inference_platform": "unknown",
-    "id": "prithivMLmods/Condor-Opus-14B-Exp",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 14.77
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.40431831983581346
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6154220154262888
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5226586102719033
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.39177852348993286
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5193854166666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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deleted file mode 100644
index 48f4555e8..000000000
--- a/data/hfopenllm_v2/prithivMLmods/Cygnus-II-14B/120d9ddf-0e6e-4fb9-9250-019d1fbfdc28.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/prithivMLmods/Cygnus-II-14B/94b45b8d-b754-4fb4-843d-b7ffeafc4f1b.json b/data/hfopenllm_v2/prithivMLmods/Cygnus-II-14B/94b45b8d-b754-4fb4-843d-b7ffeafc4f1b.json
new file mode 100644
index 000000000..e0650e76a
--- /dev/null
+++ b/data/hfopenllm_v2/prithivMLmods/Cygnus-II-14B/94b45b8d-b754-4fb4-843d-b7ffeafc4f1b.json
@@ -0,0 +1,132 @@
+{
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+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Cygnus-II-14B",
+    "id": "prithivMLmods/Cygnus-II-14B",
+    "developer": "prithivMLmods",
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+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.766
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
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+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+      "score_details": {
+        "score": 0.6184
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+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
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+        "evaluation_description": "Accuracy on BBH",
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+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6661
+      }
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+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
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+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
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+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
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+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4688
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+    },
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
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+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5391
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/prithivMLmods/Deepthink-Llama-3-8B-Preview/5618fc82-d455-4261-8e34-1190d70fd3f3.json b/data/hfopenllm_v2/prithivMLmods/Deepthink-Llama-3-8B-Preview/5618fc82-d455-4261-8e34-1190d70fd3f3.json
new file mode 100644
index 000000000..78544d542
--- /dev/null
+++ b/data/hfopenllm_v2/prithivMLmods/Deepthink-Llama-3-8B-Preview/5618fc82-d455-4261-8e34-1190d70fd3f3.json
@@ -0,0 +1,132 @@
+{
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+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Deepthink-Llama-3-8B-Preview",
+    "id": "prithivMLmods/Deepthink-Llama-3-8B-Preview",
+    "developer": "prithivMLmods",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
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+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2955
+      }
+    },
+    {
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+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4665
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+      "score_details": {
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+    },
+    {
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+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3707
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+    },
+    {
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+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
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+        "max_score": 1.0
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+      "score_details": {
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+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/prithivMLmods/Deepthink-Reasoning-14B/343e0d36-5470-4865-aeeb-a9963b38f90a.json b/data/hfopenllm_v2/prithivMLmods/Deepthink-Reasoning-14B/343e0d36-5470-4865-aeeb-a9963b38f90a.json
deleted file mode 100644
index f9cd0b58a..000000000
--- a/data/hfopenllm_v2/prithivMLmods/Deepthink-Reasoning-14B/343e0d36-5470-4865-aeeb-a9963b38f90a.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-        "min_score": 0,
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-}
diff --git a/data/hfopenllm_v2/prithivMLmods/Deepthink-Reasoning-14B/395f6339-3fca-4f4d-befc-2d231008efdd.json b/data/hfopenllm_v2/prithivMLmods/Deepthink-Reasoning-14B/395f6339-3fca-4f4d-befc-2d231008efdd.json
new file mode 100644
index 000000000..3bf404b51
--- /dev/null
+++ b/data/hfopenllm_v2/prithivMLmods/Deepthink-Reasoning-14B/395f6339-3fca-4f4d-befc-2d231008efdd.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/prithivMLmods_Deepthink-Reasoning-14B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Deepthink-Reasoning-14B",
+    "id": "prithivMLmods/Deepthink-Reasoning-14B",
+    "developer": "prithivMLmods",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.77
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+    },
+    {
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+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
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+        "evaluation_description": "Accuracy on BBH",
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+        "score_type": "continuous",
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+        "max_score": 1.0
+      },
+      "score_details": {
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+    },
+    {
+      "evaluation_name": "MATH Level 5",
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
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+      },
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+    },
+    {
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3666
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4732
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+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5296
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/prithivMLmods/Deepthink-Reasoning-7B/10d2454a-ae69-43b6-962a-77102645ed56.json b/data/hfopenllm_v2/prithivMLmods/Deepthink-Reasoning-7B/10d2454a-ae69-43b6-962a-77102645ed56.json
deleted file mode 100644
index 3498f890b..000000000
--- a/data/hfopenllm_v2/prithivMLmods/Deepthink-Reasoning-7B/10d2454a-ae69-43b6-962a-77102645ed56.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/prithivMLmods_Deepthink-Reasoning-7B/1762652580.460416",
-  "retrieved_timestamp": "1762652580.460416",
-  "source_data": [
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-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "prithivMLmods/Deepthink-Reasoning-7B",
-    "developer": "prithivMLmods",
-    "inference_platform": "unknown",
-    "id": "prithivMLmods/Deepthink-Reasoning-7B",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.616
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.48400244684104843
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5505070216145282
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.33459214501510576
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.29949664429530204
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4432291666666666
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.43492353723404253
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/prithivMLmods/Deepthink-Reasoning-7B/b22696ac-7074-44f2-b72f-c59ca0a41ce6.json b/data/hfopenllm_v2/prithivMLmods/Deepthink-Reasoning-7B/b22696ac-7074-44f2-b72f-c59ca0a41ce6.json
new file mode 100644
index 000000000..4a2741947
--- /dev/null
+++ b/data/hfopenllm_v2/prithivMLmods/Deepthink-Reasoning-7B/b22696ac-7074-44f2-b72f-c59ca0a41ce6.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/prithivMLmods_Deepthink-Reasoning-7B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Deepthink-Reasoning-7B",
+    "id": "prithivMLmods/Deepthink-Reasoning-7B",
+    "developer": "prithivMLmods",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.484
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5505
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3346
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2995
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4432
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4349
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/prithivMLmods/Dinobot-Opus-14B-Exp/6856f8b6-a719-4f69-be71-4df582015f28.json b/data/hfopenllm_v2/prithivMLmods/Dinobot-Opus-14B-Exp/6856f8b6-a719-4f69-be71-4df582015f28.json
new file mode 100644
index 000000000..e70ce3f68
--- /dev/null
+++ b/data/hfopenllm_v2/prithivMLmods/Dinobot-Opus-14B-Exp/6856f8b6-a719-4f69-be71-4df582015f28.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/prithivMLmods_Dinobot-Opus-14B-Exp/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Dinobot-Opus-14B-Exp",
+    "id": "prithivMLmods/Dinobot-Opus-14B-Exp",
+    "developer": "prithivMLmods",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.77
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.824
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.637
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5317
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3247
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.426
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4979
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/prithivMLmods/Dinobot-Opus-14B-Exp/6ed13eae-92ee-4fa7-9ed8-d9f21d6de48c.json b/data/hfopenllm_v2/prithivMLmods/Dinobot-Opus-14B-Exp/6ed13eae-92ee-4fa7-9ed8-d9f21d6de48c.json
deleted file mode 100644
index 7738a4b86..000000000
--- a/data/hfopenllm_v2/prithivMLmods/Dinobot-Opus-14B-Exp/6ed13eae-92ee-4fa7-9ed8-d9f21d6de48c.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/prithivMLmods_Dinobot-Opus-14B-Exp/1762652580.460635",
-  "retrieved_timestamp": "1762652580.460635",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "prithivMLmods/Dinobot-Opus-14B-Exp",
-    "developer": "prithivMLmods",
-    "inference_platform": "unknown",
-    "id": "prithivMLmods/Dinobot-Opus-14B-Exp",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 14.77
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.8239958864701216
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6370093752306357
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5317220543806647
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.32466442953020136
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42603125000000003
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4979222074468085
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/prithivMLmods/Elita-0.1-Distilled-R1-abliterated/9b63b3ad-568f-4f15-9cc6-36049ac89727.json b/data/hfopenllm_v2/prithivMLmods/Elita-0.1-Distilled-R1-abliterated/9b63b3ad-568f-4f15-9cc6-36049ac89727.json
deleted file mode 100644
index c307942fb..000000000
--- a/data/hfopenllm_v2/prithivMLmods/Elita-0.1-Distilled-R1-abliterated/9b63b3ad-568f-4f15-9cc6-36049ac89727.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/prithivMLmods_Elita-0.1-Distilled-R1-abliterated/1762652580.460851",
-  "retrieved_timestamp": "1762652580.460852",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "prithivMLmods/Elita-0.1-Distilled-R1-abliterated",
-    "developer": "prithivMLmods",
-    "inference_platform": "unknown",
-    "id": "prithivMLmods/Elita-0.1-Distilled-R1-abliterated",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.616
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.35423454212600347
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.38277850218543213
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3066465256797583
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.26593959731543626
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.36596875
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2757646276595745
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/prithivMLmods/Elita-0.1-Distilled-R1-abliterated/f2c0ea2b-76ae-4469-832e-84c0b79fa283.json b/data/hfopenllm_v2/prithivMLmods/Elita-0.1-Distilled-R1-abliterated/f2c0ea2b-76ae-4469-832e-84c0b79fa283.json
new file mode 100644
index 000000000..588c887dc
--- /dev/null
+++ b/data/hfopenllm_v2/prithivMLmods/Elita-0.1-Distilled-R1-abliterated/f2c0ea2b-76ae-4469-832e-84c0b79fa283.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/prithivMLmods_Elita-0.1-Distilled-R1-abliterated/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Elita-0.1-Distilled-R1-abliterated",
+    "id": "prithivMLmods/Elita-0.1-Distilled-R1-abliterated",
+    "developer": "prithivMLmods",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3542
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3828
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3066
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2659
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.366
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2758
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/prithivMLmods/Elita-1/5619e3cb-eb3e-4420-a156-6f7b2a5d372d.json b/data/hfopenllm_v2/prithivMLmods/Elita-1/5619e3cb-eb3e-4420-a156-6f7b2a5d372d.json
new file mode 100644
index 000000000..54138e141
--- /dev/null
+++ b/data/hfopenllm_v2/prithivMLmods/Elita-1/5619e3cb-eb3e-4420-a156-6f7b2a5d372d.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/prithivMLmods_Elita-1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Elita-1",
+    "id": "prithivMLmods/Elita-1",
+    "developer": "prithivMLmods",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.766
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4906
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.652
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3429
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3758
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4834
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5381
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/prithivMLmods/Elita-1/d721cfe0-eb01-42fe-955a-bfd219c38917.json b/data/hfopenllm_v2/prithivMLmods/Elita-1/d721cfe0-eb01-42fe-955a-bfd219c38917.json
deleted file mode 100644
index dcb1ec5c5..000000000
--- a/data/hfopenllm_v2/prithivMLmods/Elita-1/d721cfe0-eb01-42fe-955a-bfd219c38917.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/prithivMLmods_Elita-1/1762652580.4610822",
-  "retrieved_timestamp": "1762652580.4610822",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "prithivMLmods/Elita-1",
-    "developer": "prithivMLmods",
-    "inference_platform": "unknown",
-    "id": "prithivMLmods/Elita-1",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 14.766
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4906470387460826
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6520409113818334
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3429003021148036
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37583892617449666
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.48341666666666666
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5381482712765957
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/prithivMLmods/Epimetheus-14B-Axo/9d5e329f-491a-4608-bcac-1ee63046b34a.json b/data/hfopenllm_v2/prithivMLmods/Epimetheus-14B-Axo/9d5e329f-491a-4608-bcac-1ee63046b34a.json
new file mode 100644
index 000000000..188b84ba8
--- /dev/null
+++ b/data/hfopenllm_v2/prithivMLmods/Epimetheus-14B-Axo/9d5e329f-491a-4608-bcac-1ee63046b34a.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/prithivMLmods_Epimetheus-14B-Axo/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Epimetheus-14B-Axo",
+    "id": "prithivMLmods/Epimetheus-14B-Axo",
+    "developer": "prithivMLmods",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.766
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5546
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6613
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4101
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3926
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.482
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5304
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/prithivMLmods/Epimetheus-14B-Axo/dc3aed7d-01e0-46cc-85f6-2a06cf6b6edc.json b/data/hfopenllm_v2/prithivMLmods/Epimetheus-14B-Axo/dc3aed7d-01e0-46cc-85f6-2a06cf6b6edc.json
deleted file mode 100644
index 5ff0754bd..000000000
--- a/data/hfopenllm_v2/prithivMLmods/Epimetheus-14B-Axo/dc3aed7d-01e0-46cc-85f6-2a06cf6b6edc.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/prithivMLmods_Epimetheus-14B-Axo/1762652580.461361",
-  "retrieved_timestamp": "1762652580.461361",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "prithivMLmods/Epimetheus-14B-Axo",
-    "developer": "prithivMLmods",
-    "inference_platform": "unknown",
-    "id": "prithivMLmods/Epimetheus-14B-Axo",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 14.766
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.554643900406477
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6613340892011862
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41012084592145015
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3926174496644295
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4819583333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5304188829787234
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/prithivMLmods/Equuleus-Opus-14B-Exp/80953f08-6530-4bab-a375-cc542081aabb.json b/data/hfopenllm_v2/prithivMLmods/Equuleus-Opus-14B-Exp/80953f08-6530-4bab-a375-cc542081aabb.json
new file mode 100644
index 000000000..31a9c3f6f
--- /dev/null
+++ b/data/hfopenllm_v2/prithivMLmods/Equuleus-Opus-14B-Exp/80953f08-6530-4bab-a375-cc542081aabb.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/prithivMLmods_Equuleus-Opus-14B-Exp/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Equuleus-Opus-14B-Exp",
+    "id": "prithivMLmods/Equuleus-Opus-14B-Exp",
+    "developer": "prithivMLmods",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.766
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7001
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6434
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4585
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3867
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4952
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5374
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/prithivMLmods/Equuleus-Opus-14B-Exp/ccce28fd-d3ae-427c-b848-f08b2cf85692.json b/data/hfopenllm_v2/prithivMLmods/Equuleus-Opus-14B-Exp/ccce28fd-d3ae-427c-b848-f08b2cf85692.json
deleted file mode 100644
index 556441943..000000000
--- a/data/hfopenllm_v2/prithivMLmods/Equuleus-Opus-14B-Exp/ccce28fd-d3ae-427c-b848-f08b2cf85692.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/prithivMLmods_Equuleus-Opus-14B-Exp/1762652580.46158",
-  "retrieved_timestamp": "1762652580.46158",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "prithivMLmods/Equuleus-Opus-14B-Exp",
-    "developer": "prithivMLmods",
-    "inference_platform": "unknown",
-    "id": "prithivMLmods/Equuleus-Opus-14B-Exp",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 14.766
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7000735825387749
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6433769213927613
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.45845921450151056
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.38674496644295303
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4951666666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5374002659574468
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/prithivMLmods/Eridanus-Opus-14B-r999/0b8691a8-f394-4da3-a67b-faa1af9b42c9.json b/data/hfopenllm_v2/prithivMLmods/Eridanus-Opus-14B-r999/0b8691a8-f394-4da3-a67b-faa1af9b42c9.json
new file mode 100644
index 000000000..4e0e78a3e
--- /dev/null
+++ b/data/hfopenllm_v2/prithivMLmods/Eridanus-Opus-14B-r999/0b8691a8-f394-4da3-a67b-faa1af9b42c9.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/prithivMLmods_Eridanus-Opus-14B-r999/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Eridanus-Opus-14B-r999",
+    "id": "prithivMLmods/Eridanus-Opus-14B-r999",
+    "developer": "prithivMLmods",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.77
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6386
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6584
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.386
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3943
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4769
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5362
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/prithivMLmods/Eridanus-Opus-14B-r999/9dd4aa3f-98aa-4e51-bd21-c999b3990a64.json b/data/hfopenllm_v2/prithivMLmods/Eridanus-Opus-14B-r999/9dd4aa3f-98aa-4e51-bd21-c999b3990a64.json
deleted file mode 100644
index 156b7a3df..000000000
--- a/data/hfopenllm_v2/prithivMLmods/Eridanus-Opus-14B-r999/9dd4aa3f-98aa-4e51-bd21-c999b3990a64.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/prithivMLmods_Eridanus-Opus-14B-r999/1762652580.461785",
-  "retrieved_timestamp": "1762652580.461786",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "prithivMLmods/Eridanus-Opus-14B-r999",
-    "developer": "prithivMLmods",
-    "inference_platform": "unknown",
-    "id": "prithivMLmods/Eridanus-Opus-14B-r999",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 14.77
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.638574537781974
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6583918169279829
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3859516616314199
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.39429530201342283
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.476875
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5361535904255319
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/prithivMLmods/Evac-Opus-14B-Exp/26c88cb2-7c81-4b0c-8493-baa9d8f7b1a0.json b/data/hfopenllm_v2/prithivMLmods/Evac-Opus-14B-Exp/26c88cb2-7c81-4b0c-8493-baa9d8f7b1a0.json
deleted file mode 100644
index 94bac0459..000000000
--- a/data/hfopenllm_v2/prithivMLmods/Evac-Opus-14B-Exp/26c88cb2-7c81-4b0c-8493-baa9d8f7b1a0.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/prithivMLmods_Evac-Opus-14B-Exp/1762652580.461996",
-  "retrieved_timestamp": "1762652580.461997",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "prithivMLmods/Evac-Opus-14B-Exp",
-    "developer": "prithivMLmods",
-    "inference_platform": "unknown",
-    "id": "prithivMLmods/Evac-Opus-14B-Exp",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 14.77
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5916135852870383
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6475440673701862
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
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-        "score_type": "continuous",
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-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4214501510574018
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-    },
-    {
-      "evaluation_name": "GPQA",
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-        "evaluation_description": "Accuracy on GPQA",
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3884228187919463
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.47278125
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5316655585106383
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/prithivMLmods/Evac-Opus-14B-Exp/fb541a2b-d9bd-4aa2-8b83-da62a3b77731.json b/data/hfopenllm_v2/prithivMLmods/Evac-Opus-14B-Exp/fb541a2b-d9bd-4aa2-8b83-da62a3b77731.json
new file mode 100644
index 000000000..29b96ac56
--- /dev/null
+++ b/data/hfopenllm_v2/prithivMLmods/Evac-Opus-14B-Exp/fb541a2b-d9bd-4aa2-8b83-da62a3b77731.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/prithivMLmods_Evac-Opus-14B-Exp/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Evac-Opus-14B-Exp",
+    "id": "prithivMLmods/Evac-Opus-14B-Exp",
+    "developer": "prithivMLmods",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.77
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5916
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6475
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4215
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3884
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4728
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5317
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/prithivMLmods/FastThink-0.5B-Tiny/b731eb88-e0ed-4edb-bed3-2d82bbce43bb.json b/data/hfopenllm_v2/prithivMLmods/FastThink-0.5B-Tiny/b731eb88-e0ed-4edb-bed3-2d82bbce43bb.json
deleted file mode 100644
index f996a899a..000000000
--- a/data/hfopenllm_v2/prithivMLmods/FastThink-0.5B-Tiny/b731eb88-e0ed-4edb-bed3-2d82bbce43bb.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/prithivMLmods_FastThink-0.5B-Tiny/1762652580.462207",
-  "retrieved_timestamp": "1762652580.462208",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "prithivMLmods/FastThink-0.5B-Tiny",
-    "developer": "prithivMLmods",
-    "inference_platform": "unknown",
-    "id": "prithivMLmods/FastThink-0.5B-Tiny",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 0.494
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.25798880304259364
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3205583807088257
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.02039274924471299
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2609060402684564
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3566354166666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.16489361702127658
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/prithivMLmods/FastThink-0.5B-Tiny/c20d1c62-d3e0-4e30-b0d3-4c62a6585d23.json b/data/hfopenllm_v2/prithivMLmods/FastThink-0.5B-Tiny/c20d1c62-d3e0-4e30-b0d3-4c62a6585d23.json
new file mode 100644
index 000000000..6a08d3a8b
--- /dev/null
+++ b/data/hfopenllm_v2/prithivMLmods/FastThink-0.5B-Tiny/c20d1c62-d3e0-4e30-b0d3-4c62a6585d23.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/prithivMLmods_FastThink-0.5B-Tiny/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "FastThink-0.5B-Tiny",
+    "id": "prithivMLmods/FastThink-0.5B-Tiny",
+    "developer": "prithivMLmods",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 0.494
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.258
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3206
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0204
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2609
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3566
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1649
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/prithivMLmods/GWQ-9B-Preview/7735d88c-bdaa-4a12-9a99-a2dc5ec2ec66.json b/data/hfopenllm_v2/prithivMLmods/GWQ-9B-Preview/7735d88c-bdaa-4a12-9a99-a2dc5ec2ec66.json
deleted file mode 100644
index 7320f7a0b..000000000
--- a/data/hfopenllm_v2/prithivMLmods/GWQ-9B-Preview/7735d88c-bdaa-4a12-9a99-a2dc5ec2ec66.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/prithivMLmods_GWQ-9B-Preview/1762652580.4624221",
-  "retrieved_timestamp": "1762652580.462423",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "prithivMLmods/GWQ-9B-Preview",
-    "developer": "prithivMLmods",
-    "inference_platform": "unknown",
-    "id": "prithivMLmods/GWQ-9B-Preview",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Gemma2ForCausalLM",
-      "params_billions": 9.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5065836425129767
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5805745804247511
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.22658610271903323
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.33976510067114096
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4951041666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.39835438829787234
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/prithivMLmods/GWQ-9B-Preview/8a10eeb6-7178-4c78-8940-68fad78e389b.json b/data/hfopenllm_v2/prithivMLmods/GWQ-9B-Preview/8a10eeb6-7178-4c78-8940-68fad78e389b.json
new file mode 100644
index 000000000..5fd930e8e
--- /dev/null
+++ b/data/hfopenllm_v2/prithivMLmods/GWQ-9B-Preview/8a10eeb6-7178-4c78-8940-68fad78e389b.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/prithivMLmods_GWQ-9B-Preview/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "GWQ-9B-Preview",
+    "id": "prithivMLmods/GWQ-9B-Preview",
+    "developer": "prithivMLmods",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Gemma2ForCausalLM",
+      "params_billions": 9.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5066
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5806
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2266
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3398
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4951
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3984
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/prithivMLmods/GWQ-9B-Preview2/5c534761-19b5-4111-b1f5-c2fc3e121b24.json b/data/hfopenllm_v2/prithivMLmods/GWQ-9B-Preview2/5c534761-19b5-4111-b1f5-c2fc3e121b24.json
deleted file mode 100644
index ae2e9ebf7..000000000
--- a/data/hfopenllm_v2/prithivMLmods/GWQ-9B-Preview2/5c534761-19b5-4111-b1f5-c2fc3e121b24.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/prithivMLmods_GWQ-9B-Preview2/1762652580.462637",
-  "retrieved_timestamp": "1762652580.4626381",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "prithivMLmods/GWQ-9B-Preview2",
-    "developer": "prithivMLmods",
-    "inference_platform": "unknown",
-    "id": "prithivMLmods/GWQ-9B-Preview2",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Gemma2ForCausalLM",
-      "params_billions": 9.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5208967761096114
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5797218710843371
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.23716012084592145
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3263422818791946
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.48598958333333336
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3996841755319149
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/prithivMLmods/GWQ-9B-Preview2/f0bb774c-a842-4261-b817-b169ce65a493.json b/data/hfopenllm_v2/prithivMLmods/GWQ-9B-Preview2/f0bb774c-a842-4261-b817-b169ce65a493.json
new file mode 100644
index 000000000..99ceb5f7b
--- /dev/null
+++ b/data/hfopenllm_v2/prithivMLmods/GWQ-9B-Preview2/f0bb774c-a842-4261-b817-b169ce65a493.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/prithivMLmods_GWQ-9B-Preview2/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "GWQ-9B-Preview2",
+    "id": "prithivMLmods/GWQ-9B-Preview2",
+    "developer": "prithivMLmods",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Gemma2ForCausalLM",
+      "params_billions": 9.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5209
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5797
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2372
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3263
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.486
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3997
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/prithivMLmods/GWQ2b/59afe234-3a7f-49bb-873c-df6cf793e5e5.json b/data/hfopenllm_v2/prithivMLmods/GWQ2b/59afe234-3a7f-49bb-873c-df6cf793e5e5.json
new file mode 100644
index 000000000..814634ab3
--- /dev/null
+++ b/data/hfopenllm_v2/prithivMLmods/GWQ2b/59afe234-3a7f-49bb-873c-df6cf793e5e5.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/prithivMLmods_GWQ2b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "GWQ2b",
+    "id": "prithivMLmods/GWQ2b",
+    "developer": "prithivMLmods",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Gemma2ForCausalLM",
+      "params_billions": 2.614
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4115
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4143
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0627
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2827
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4311
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2473
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/prithivMLmods/GWQ2b/8a89468f-fe2f-4bc9-be99-c9619c605efc.json b/data/hfopenllm_v2/prithivMLmods/GWQ2b/8a89468f-fe2f-4bc9-be99-c9619c605efc.json
deleted file mode 100644
index a34fbadad..000000000
--- a/data/hfopenllm_v2/prithivMLmods/GWQ2b/8a89468f-fe2f-4bc9-be99-c9619c605efc.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/prithivMLmods_GWQ2b/1762652580.462852",
-  "retrieved_timestamp": "1762652580.4628532",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "prithivMLmods/GWQ2b",
-    "developer": "prithivMLmods",
-    "inference_platform": "unknown",
-    "id": "prithivMLmods/GWQ2b",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Gemma2ForCausalLM",
-      "params_billions": 2.614
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41148707651254224
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41433702954085216
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.06268882175226587
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2827181208053691
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.43111458333333336
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.24725731382978725
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/prithivMLmods/Gaea-Opus-14B-Exp/4074081a-66a6-42e4-994f-72541f90888b.json b/data/hfopenllm_v2/prithivMLmods/Gaea-Opus-14B-Exp/4074081a-66a6-42e4-994f-72541f90888b.json
new file mode 100644
index 000000000..72bbcb358
--- /dev/null
+++ b/data/hfopenllm_v2/prithivMLmods/Gaea-Opus-14B-Exp/4074081a-66a6-42e4-994f-72541f90888b.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/prithivMLmods_Gaea-Opus-14B-Exp/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Gaea-Opus-14B-Exp",
+    "id": "prithivMLmods/Gaea-Opus-14B-Exp",
+    "developer": "prithivMLmods",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.766
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5956
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.656
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4275
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3909
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4859
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5401
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/prithivMLmods/Gaea-Opus-14B-Exp/f75e27a8-00e8-4473-b7ed-3fffa131ee0a.json b/data/hfopenllm_v2/prithivMLmods/Gaea-Opus-14B-Exp/f75e27a8-00e8-4473-b7ed-3fffa131ee0a.json
deleted file mode 100644
index 5491c1915..000000000
--- a/data/hfopenllm_v2/prithivMLmods/Gaea-Opus-14B-Exp/f75e27a8-00e8-4473-b7ed-3fffa131ee0a.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/prithivMLmods_Gaea-Opus-14B-Exp/1762652580.463063",
-  "retrieved_timestamp": "1762652580.463063",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "prithivMLmods/Gaea-Opus-14B-Exp",
-    "developer": "prithivMLmods",
-    "inference_platform": "unknown",
-    "id": "prithivMLmods/Gaea-Opus-14B-Exp",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 14.766
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5956351369920699
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6560465337491567
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42749244712990936
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.39093959731543626
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.48589583333333336
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5400598404255319
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/prithivMLmods/Galactic-Qwen-14B-Exp1/6a618ec8-c029-49ec-9ea5-da52b5231280.json b/data/hfopenllm_v2/prithivMLmods/Galactic-Qwen-14B-Exp1/6a618ec8-c029-49ec-9ea5-da52b5231280.json
new file mode 100644
index 000000000..9d9a90116
--- /dev/null
+++ b/data/hfopenllm_v2/prithivMLmods/Galactic-Qwen-14B-Exp1/6a618ec8-c029-49ec-9ea5-da52b5231280.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
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+  "model_info": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
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+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6582
+      }
+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+    {
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+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+      }
+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "max_score": 1.0
+      },
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+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/prithivMLmods/Galactic-Qwen-14B-Exp2/edc8f510-c961-4c1f-9757-e80c4247f275.json b/data/hfopenllm_v2/prithivMLmods/Galactic-Qwen-14B-Exp2/edc8f510-c961-4c1f-9757-e80c4247f275.json
new file mode 100644
index 000000000..26d244447
--- /dev/null
+++ b/data/hfopenllm_v2/prithivMLmods/Galactic-Qwen-14B-Exp2/edc8f510-c961-4c1f-9757-e80c4247f275.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/prithivMLmods_Galactic-Qwen-14B-Exp2/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Galactic-Qwen-14B-Exp2",
+    "id": "prithivMLmods/Galactic-Qwen-14B-Exp2",
+    "developer": "prithivMLmods",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.766
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.662
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7203
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5354
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5691
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/prithivMLmods/Gauss-Opus-14B-R999/aaa5d1e6-5aca-4471-87ea-7195610a6c1d.json b/data/hfopenllm_v2/prithivMLmods/Gauss-Opus-14B-R999/aaa5d1e6-5aca-4471-87ea-7195610a6c1d.json
new file mode 100644
index 000000000..7057ef00e
--- /dev/null
+++ b/data/hfopenllm_v2/prithivMLmods/Gauss-Opus-14B-R999/aaa5d1e6-5aca-4471-87ea-7195610a6c1d.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/prithivMLmods_Gauss-Opus-14B-R999/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Gauss-Opus-14B-R999",
+    "id": "prithivMLmods/Gauss-Opus-14B-R999",
+    "developer": "prithivMLmods",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.77
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6228
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+      "score_details": {
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+      }
+    },
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+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+    {
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+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5007
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/prithivMLmods/Gauss-Opus-14B-R999/e8596a17-9e5d-4ac5-9968-44d302628c31.json b/data/hfopenllm_v2/prithivMLmods/Gauss-Opus-14B-R999/e8596a17-9e5d-4ac5-9968-44d302628c31.json
deleted file mode 100644
index 1c189a821..000000000
--- a/data/hfopenllm_v2/prithivMLmods/Gauss-Opus-14B-R999/e8596a17-9e5d-4ac5-9968-44d302628c31.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "source_data": [
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-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "prithivMLmods/Gauss-Opus-14B-R999",
-    "developer": "prithivMLmods",
-    "inference_platform": "unknown",
-    "id": "prithivMLmods/Gauss-Opus-14B-R999",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 14.77
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
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-    {
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.39177852348993286
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5338333333333334
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.500748005319149
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/prithivMLmods/Jolt-v0.1/89b45e8b-9979-4c7f-8aa6-c6ab7009cab0.json b/data/hfopenllm_v2/prithivMLmods/Jolt-v0.1/89b45e8b-9979-4c7f-8aa6-c6ab7009cab0.json
new file mode 100644
index 000000000..96783fe07
--- /dev/null
+++ b/data/hfopenllm_v2/prithivMLmods/Jolt-v0.1/89b45e8b-9979-4c7f-8aa6-c6ab7009cab0.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/prithivMLmods_Jolt-v0.1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Jolt-v0.1",
+    "id": "prithivMLmods/Jolt-v0.1",
+    "developer": "prithivMLmods",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.766
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5092
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6521
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3565
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.38
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4847
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5386
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/prithivMLmods/Jolt-v0.1/d96ef95b-ca39-4e33-9f6b-a4faa71e5009.json b/data/hfopenllm_v2/prithivMLmods/Jolt-v0.1/d96ef95b-ca39-4e33-9f6b-a4faa71e5009.json
deleted file mode 100644
index 7d491b90a..000000000
--- a/data/hfopenllm_v2/prithivMLmods/Jolt-v0.1/d96ef95b-ca39-4e33-9f6b-a4faa71e5009.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/prithivMLmods_Jolt-v0.1/1762652580.463978",
-  "retrieved_timestamp": "1762652580.463979",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "prithivMLmods/Jolt-v0.1",
-    "developer": "prithivMLmods",
-    "inference_platform": "unknown",
-    "id": "prithivMLmods/Jolt-v0.1",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 14.766
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5092066827129793
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6521408461659391
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3564954682779456
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3800335570469799
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.48471875000000003
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5386469414893617
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/prithivMLmods/Lacerta-Opus-14B-Elite8/21b53896-3b7b-470a-a49f-4b2cb4e6adef.json b/data/hfopenllm_v2/prithivMLmods/Lacerta-Opus-14B-Elite8/21b53896-3b7b-470a-a49f-4b2cb4e6adef.json
deleted file mode 100644
index 35d167e89..000000000
--- a/data/hfopenllm_v2/prithivMLmods/Lacerta-Opus-14B-Elite8/21b53896-3b7b-470a-a49f-4b2cb4e6adef.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/prithivMLmods_Lacerta-Opus-14B-Elite8/1762652580.464193",
-  "retrieved_timestamp": "1762652580.464193",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "prithivMLmods/Lacerta-Opus-14B-Elite8",
-    "developer": "prithivMLmods",
-    "inference_platform": "unknown",
-    "id": "prithivMLmods/Lacerta-Opus-14B-Elite8",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 14.766
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.614144913274556
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6401384743047456
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3648036253776435
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3783557046979866
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4635416666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5321642287234043
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/prithivMLmods/Lacerta-Opus-14B-Elite8/41000c74-8b29-4369-996f-cf3a2fd09f63.json b/data/hfopenllm_v2/prithivMLmods/Lacerta-Opus-14B-Elite8/41000c74-8b29-4369-996f-cf3a2fd09f63.json
new file mode 100644
index 000000000..4a4f258fd
--- /dev/null
+++ b/data/hfopenllm_v2/prithivMLmods/Lacerta-Opus-14B-Elite8/41000c74-8b29-4369-996f-cf3a2fd09f63.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/prithivMLmods_Lacerta-Opus-14B-Elite8/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Lacerta-Opus-14B-Elite8",
+    "id": "prithivMLmods/Lacerta-Opus-14B-Elite8",
+    "developer": "prithivMLmods",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.766
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6141
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6401
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3648
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3784
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4635
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5322
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/prithivMLmods/Llama-3.1-5B-Instruct/a1765846-74e1-440a-8851-12a571444059.json b/data/hfopenllm_v2/prithivMLmods/Llama-3.1-5B-Instruct/a1765846-74e1-440a-8851-12a571444059.json
new file mode 100644
index 000000000..ae7d80588
--- /dev/null
+++ b/data/hfopenllm_v2/prithivMLmods/Llama-3.1-5B-Instruct/a1765846-74e1-440a-8851-12a571444059.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/prithivMLmods_Llama-3.1-5B-Instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-3.1-5B-Instruct",
+    "id": "prithivMLmods/Llama-3.1-5B-Instruct",
+    "developer": "prithivMLmods",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 5.413
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1407
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3051
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0151
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2643
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.354
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1184
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/prithivMLmods/Llama-3.1-5B-Instruct/cdc5671a-e164-43b9-864c-808a9464e618.json b/data/hfopenllm_v2/prithivMLmods/Llama-3.1-5B-Instruct/cdc5671a-e164-43b9-864c-808a9464e618.json
deleted file mode 100644
index b44d0a7af..000000000
--- a/data/hfopenllm_v2/prithivMLmods/Llama-3.1-5B-Instruct/cdc5671a-e164-43b9-864c-808a9464e618.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/prithivMLmods_Llama-3.1-5B-Instruct/1762652580.464407",
-  "retrieved_timestamp": "1762652580.4644082",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "prithivMLmods/Llama-3.1-5B-Instruct",
-    "developer": "prithivMLmods",
-    "inference_platform": "unknown",
-    "id": "prithivMLmods/Llama-3.1-5B-Instruct",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 5.413
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.14066011516110588
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3051074188361172
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.015105740181268883
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.26426174496644295
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.35400000000000004
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11835106382978723
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/prithivMLmods/Llama-3.1-8B-Open-SFT/37276848-95fe-4403-896d-bf9fafbff04e.json b/data/hfopenllm_v2/prithivMLmods/Llama-3.1-8B-Open-SFT/37276848-95fe-4403-896d-bf9fafbff04e.json
deleted file mode 100644
index 253545fad..000000000
--- a/data/hfopenllm_v2/prithivMLmods/Llama-3.1-8B-Open-SFT/37276848-95fe-4403-896d-bf9fafbff04e.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/prithivMLmods_Llama-3.1-8B-Open-SFT/1762652580.464622",
-  "retrieved_timestamp": "1762652580.4646232",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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new file mode 100644
index 000000000..41ba66370
--- /dev/null
+++ b/data/hfopenllm_v2/prithivMLmods/Llama-3.1-8B-Open-SFT/9c6b594f-387a-42a3-9e40-3b26363e6071.json
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/prithivMLmods/Llama-3.2-3B-Math-Oct/2b910401-457a-45dd-920a-559f4595897b.json b/data/hfopenllm_v2/prithivMLmods/Llama-3.2-3B-Math-Oct/2b910401-457a-45dd-920a-559f4595897b.json
new file mode 100644
index 000000000..7b7a839ae
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/prithivMLmods/Llama-3.2-6B-AlgoCode/90b7be49-53a0-4d7f-8995-cbc52fe3a70f.json b/data/hfopenllm_v2/prithivMLmods/Llama-3.2-6B-AlgoCode/90b7be49-53a0-4d7f-8995-cbc52fe3a70f.json
new file mode 100644
index 000000000..8570bf857
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/prithivMLmods/Llama-8B-Distill-CoT/5e8854ba-7147-4fdd-a568-1ea58e79e7d8.json b/data/hfopenllm_v2/prithivMLmods/Llama-8B-Distill-CoT/5e8854ba-7147-4fdd-a568-1ea58e79e7d8.json
new file mode 100644
index 000000000..8bc00a642
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+++ b/data/hfopenllm_v2/prithivMLmods/Llama-8B-Distill-CoT/5e8854ba-7147-4fdd-a568-1ea58e79e7d8.json
@@ -0,0 +1,132 @@
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/prithivMLmods/Llama-Deepsync-1B/df6e0cfb-d720-428a-a5ad-b1529faa07c0.json b/data/hfopenllm_v2/prithivMLmods/Llama-Deepsync-1B/df6e0cfb-d720-428a-a5ad-b1529faa07c0.json
new file mode 100644
index 000000000..193336b1d
--- /dev/null
+++ b/data/hfopenllm_v2/prithivMLmods/Llama-Deepsync-1B/df6e0cfb-d720-428a-a5ad-b1529faa07c0.json
@@ -0,0 +1,132 @@
+{
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+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-Deepsync-1B",
+    "id": "prithivMLmods/Llama-Deepsync-1B",
+    "developer": "prithivMLmods",
+    "inference_platform": "unknown",
+    "additional_details": {
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+      "architecture": "LlamaForCausalLM",
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+    }
+  },
+  "evaluation_results": [
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
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+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3386
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2601
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3565
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1738
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/prithivMLmods/Llama-Deepsync-3B/a88a6e6f-2253-4b67-9527-55ab6153e40f.json b/data/hfopenllm_v2/prithivMLmods/Llama-Deepsync-3B/a88a6e6f-2253-4b67-9527-55ab6153e40f.json
new file mode 100644
index 000000000..702c1642b
--- /dev/null
+++ b/data/hfopenllm_v2/prithivMLmods/Llama-Deepsync-3B/a88a6e6f-2253-4b67-9527-55ab6153e40f.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/prithivMLmods_Llama-Deepsync-3B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-Deepsync-3B",
+    "id": "prithivMLmods/Llama-Deepsync-3B",
+    "developer": "prithivMLmods",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 3.213
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4302
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4292
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1178
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2718
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3324
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3031
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/prithivMLmods/Llama-Express.1-Math/00c66a37-b46b-47e8-a098-ce12433c1135.json b/data/hfopenllm_v2/prithivMLmods/Llama-Express.1-Math/00c66a37-b46b-47e8-a098-ce12433c1135.json
new file mode 100644
index 000000000..3d5e5f05f
--- /dev/null
+++ b/data/hfopenllm_v2/prithivMLmods/Llama-Express.1-Math/00c66a37-b46b-47e8-a098-ce12433c1135.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/prithivMLmods_Llama-Express.1-Math/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-Express.1-Math",
+    "id": "prithivMLmods/Llama-Express.1-Math",
+    "developer": "prithivMLmods",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 1.236
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5084
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3364
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0559
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2634
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3143
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.161
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/prithivMLmods/LwQ-10B-Instruct/6ad5483c-13dc-4e79-a719-66af383d195a.json b/data/hfopenllm_v2/prithivMLmods/LwQ-10B-Instruct/6ad5483c-13dc-4e79-a719-66af383d195a.json
new file mode 100644
index 000000000..d8310afc7
--- /dev/null
+++ b/data/hfopenllm_v2/prithivMLmods/LwQ-10B-Instruct/6ad5483c-13dc-4e79-a719-66af383d195a.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/prithivMLmods_LwQ-10B-Instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "LwQ-10B-Instruct",
+    "id": "prithivMLmods/LwQ-10B-Instruct",
+    "developer": "prithivMLmods",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 10.732
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3935
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5122
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.04
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3121
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4544
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3318
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/prithivMLmods/LwQ-10B-Instruct/df470b21-0d55-4d28-af25-75908799a0cc.json b/data/hfopenllm_v2/prithivMLmods/LwQ-10B-Instruct/df470b21-0d55-4d28-af25-75908799a0cc.json
deleted file mode 100644
index f74edb72f..000000000
--- a/data/hfopenllm_v2/prithivMLmods/LwQ-10B-Instruct/df470b21-0d55-4d28-af25-75908799a0cc.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/prithivMLmods_LwQ-10B-Instruct/1762652580.4662411",
-  "retrieved_timestamp": "1762652580.466242",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "prithivMLmods/LwQ-10B-Instruct",
-    "developer": "prithivMLmods",
-    "inference_platform": "unknown",
-    "id": "prithivMLmods/LwQ-10B-Instruct",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 10.732
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3934770852449279
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5121712029712329
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.04003021148036254
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.31208053691275167
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.45439583333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.331781914893617
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/prithivMLmods/LwQ-Reasoner-10B/9fa6813a-7acb-4c08-9912-6dc0d356a7e2.json b/data/hfopenllm_v2/prithivMLmods/LwQ-Reasoner-10B/9fa6813a-7acb-4c08-9912-6dc0d356a7e2.json
new file mode 100644
index 000000000..e4c1d9c13
--- /dev/null
+++ b/data/hfopenllm_v2/prithivMLmods/LwQ-Reasoner-10B/9fa6813a-7acb-4c08-9912-6dc0d356a7e2.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/prithivMLmods_LwQ-Reasoner-10B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "LwQ-Reasoner-10B",
+    "id": "prithivMLmods/LwQ-Reasoner-10B",
+    "developer": "prithivMLmods",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 10.306
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2941
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5866
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.358
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3465
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4079
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4147
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/prithivMLmods/LwQ-Reasoner-10B/d22507ab-2601-4bf0-a8d8-b456102c85af.json b/data/hfopenllm_v2/prithivMLmods/LwQ-Reasoner-10B/d22507ab-2601-4bf0-a8d8-b456102c85af.json
deleted file mode 100644
index ec1358f68..000000000
--- a/data/hfopenllm_v2/prithivMLmods/LwQ-Reasoner-10B/d22507ab-2601-4bf0-a8d8-b456102c85af.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/prithivMLmods_LwQ-Reasoner-10B/1762652580.466471",
-  "retrieved_timestamp": "1762652580.466471",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "prithivMLmods/LwQ-Reasoner-10B",
-    "developer": "prithivMLmods",
-    "inference_platform": "unknown",
-    "id": "prithivMLmods/LwQ-Reasoner-10B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 10.306
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.29413400887423147
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5866254169962443
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3580060422960725
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3464765100671141
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.40785416666666663
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41472739361702127
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/prithivMLmods/Magellanic-Opus-14B-Exp/07236482-8709-4aa8-8e63-762b2f591b2a.json b/data/hfopenllm_v2/prithivMLmods/Magellanic-Opus-14B-Exp/07236482-8709-4aa8-8e63-762b2f591b2a.json
deleted file mode 100644
index 491a896e0..000000000
--- a/data/hfopenllm_v2/prithivMLmods/Magellanic-Opus-14B-Exp/07236482-8709-4aa8-8e63-762b2f591b2a.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/prithivMLmods_Magellanic-Opus-14B-Exp/1762652580.466739",
-  "retrieved_timestamp": "1762652580.466739",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "prithivMLmods/Magellanic-Opus-14B-Exp",
-    "developer": "prithivMLmods",
-    "inference_platform": "unknown",
-    "id": "prithivMLmods/Magellanic-Opus-14B-Exp",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 14.766
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6866347956754744
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-    },
-    {
-      "evaluation_name": "BBH",
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-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6382505935140227
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37990936555891236
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37416107382550334
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.49262500000000004
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5272606382978723
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/prithivMLmods/Magellanic-Opus-14B-Exp/3880e3bf-6ff0-4eef-a519-2649014254e1.json b/data/hfopenllm_v2/prithivMLmods/Magellanic-Opus-14B-Exp/3880e3bf-6ff0-4eef-a519-2649014254e1.json
new file mode 100644
index 000000000..227d602c1
--- /dev/null
+++ b/data/hfopenllm_v2/prithivMLmods/Magellanic-Opus-14B-Exp/3880e3bf-6ff0-4eef-a519-2649014254e1.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/prithivMLmods_Magellanic-Opus-14B-Exp/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Magellanic-Opus-14B-Exp",
+    "id": "prithivMLmods/Magellanic-Opus-14B-Exp",
+    "developer": "prithivMLmods",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.766
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6866
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6383
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3799
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3742
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4926
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5273
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/prithivMLmods/Magellanic-Qwen-25B-R999/e77efb9d-b1fc-4833-8e7f-8da683019018.json b/data/hfopenllm_v2/prithivMLmods/Magellanic-Qwen-25B-R999/e77efb9d-b1fc-4833-8e7f-8da683019018.json
new file mode 100644
index 000000000..e8a7e420c
--- /dev/null
+++ b/data/hfopenllm_v2/prithivMLmods/Magellanic-Qwen-25B-R999/e77efb9d-b1fc-4833-8e7f-8da683019018.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/prithivMLmods_Magellanic-Qwen-25B-R999/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Magellanic-Qwen-25B-R999",
+    "id": "prithivMLmods/Magellanic-Qwen-25B-R999",
+    "developer": "prithivMLmods",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 24.962
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1873
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2608
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0053
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2508
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3831
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.13
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/prithivMLmods/Megatron-Corpus-14B-Exp.v2/2bcc02df-8d27-412a-8b58-c331df98e4d4.json b/data/hfopenllm_v2/prithivMLmods/Megatron-Corpus-14B-Exp.v2/2bcc02df-8d27-412a-8b58-c331df98e4d4.json
new file mode 100644
index 000000000..1ccbd4ee2
--- /dev/null
+++ b/data/hfopenllm_v2/prithivMLmods/Megatron-Corpus-14B-Exp.v2/2bcc02df-8d27-412a-8b58-c331df98e4d4.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/prithivMLmods_Megatron-Corpus-14B-Exp.v2/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Megatron-Corpus-14B-Exp.v2",
+    "id": "prithivMLmods/Megatron-Corpus-14B-Exp.v2",
+    "developer": "prithivMLmods",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.766
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.487
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6321
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2591
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3423
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.449
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.481
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/prithivMLmods/Megatron-Corpus-14B-Exp.v2/f50a6538-057e-4e57-af79-ba3a5b7121cb.json b/data/hfopenllm_v2/prithivMLmods/Megatron-Corpus-14B-Exp.v2/f50a6538-057e-4e57-af79-ba3a5b7121cb.json
deleted file mode 100644
index 1f998285c..000000000
--- a/data/hfopenllm_v2/prithivMLmods/Megatron-Corpus-14B-Exp.v2/f50a6538-057e-4e57-af79-ba3a5b7121cb.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/prithivMLmods_Megatron-Corpus-14B-Exp.v2/1762652580.467396",
-  "retrieved_timestamp": "1762652580.4673972",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "prithivMLmods/Megatron-Corpus-14B-Exp.v2",
-    "developer": "prithivMLmods",
-    "inference_platform": "unknown",
-    "id": "prithivMLmods/Megatron-Corpus-14B-Exp.v2",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 14.766
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.48704991644392437
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.632146083740281
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2590634441087613
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3422818791946309
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.449
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.48096742021276595
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/prithivMLmods/Megatron-Corpus-14B-Exp/622531d5-03f8-42cf-974e-94291aa1e515.json b/data/hfopenllm_v2/prithivMLmods/Megatron-Corpus-14B-Exp/622531d5-03f8-42cf-974e-94291aa1e515.json
new file mode 100644
index 000000000..7f5ceece4
--- /dev/null
+++ b/data/hfopenllm_v2/prithivMLmods/Megatron-Corpus-14B-Exp/622531d5-03f8-42cf-974e-94291aa1e515.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/prithivMLmods_Megatron-Corpus-14B-Exp/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Megatron-Corpus-14B-Exp",
+    "id": "prithivMLmods/Megatron-Corpus-14B-Exp",
+    "developer": "prithivMLmods",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.766
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4983
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6355
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3429
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3633
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4767
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.526
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/prithivMLmods/Megatron-Corpus-14B-Exp/f71c4189-288e-4c6d-978c-d793ca57fedf.json b/data/hfopenllm_v2/prithivMLmods/Megatron-Corpus-14B-Exp/f71c4189-288e-4c6d-978c-d793ca57fedf.json
deleted file mode 100644
index 6f5c7701d..000000000
--- a/data/hfopenllm_v2/prithivMLmods/Megatron-Corpus-14B-Exp/f71c4189-288e-4c6d-978c-d793ca57fedf.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/prithivMLmods_Megatron-Corpus-14B-Exp/1762652580.46718",
-  "retrieved_timestamp": "1762652580.46718",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "prithivMLmods/Megatron-Corpus-14B-Exp",
-    "developer": "prithivMLmods",
-    "inference_platform": "unknown",
-    "id": "prithivMLmods/Megatron-Corpus-14B-Exp",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 14.766
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.49826571275327247
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6355171004470184
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3429003021148036
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.36325503355704697
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4766875
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5260139627659575
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/prithivMLmods/Megatron-Opus-14B-2.0/b772f20f-afbd-496c-9f94-e5fd30d54466.json b/data/hfopenllm_v2/prithivMLmods/Megatron-Opus-14B-2.0/b772f20f-afbd-496c-9f94-e5fd30d54466.json
new file mode 100644
index 000000000..05306c382
--- /dev/null
+++ b/data/hfopenllm_v2/prithivMLmods/Megatron-Opus-14B-2.0/b772f20f-afbd-496c-9f94-e5fd30d54466.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/prithivMLmods_Megatron-Opus-14B-2.0/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Megatron-Opus-14B-2.0",
+    "id": "prithivMLmods/Megatron-Opus-14B-2.0",
+    "developer": "prithivMLmods",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 14.66
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6694
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6871
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2779
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3591
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.414
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.517
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/prithivMLmods/Megatron-Opus-14B-2.0/c6dd1b78-b487-4197-8a66-c364487ff6fb.json b/data/hfopenllm_v2/prithivMLmods/Megatron-Opus-14B-2.0/c6dd1b78-b487-4197-8a66-c364487ff6fb.json
deleted file mode 100644
index 7fd5aaa4a..000000000
--- a/data/hfopenllm_v2/prithivMLmods/Megatron-Opus-14B-2.0/c6dd1b78-b487-4197-8a66-c364487ff6fb.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/prithivMLmods_Megatron-Opus-14B-2.0/1762652580.467613",
-  "retrieved_timestamp": "1762652580.467613",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "prithivMLmods/Megatron-Opus-14B-2.0",
-    "developer": "prithivMLmods",
-    "inference_platform": "unknown",
-    "id": "prithivMLmods/Megatron-Opus-14B-2.0",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 14.66
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6693739278447852
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6870557211788685
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.27794561933534745
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.35906040268456374
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41403125
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5170378989361702
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/prithivMLmods/Megatron-Opus-14B-2.1/002ba3ef-6ac7-4bdf-bd7d-42ef16aa7cc9.json b/data/hfopenllm_v2/prithivMLmods/Megatron-Opus-14B-2.1/002ba3ef-6ac7-4bdf-bd7d-42ef16aa7cc9.json
deleted file mode 100644
index 8e264e0c7..000000000
--- a/data/hfopenllm_v2/prithivMLmods/Megatron-Opus-14B-2.1/002ba3ef-6ac7-4bdf-bd7d-42ef16aa7cc9.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/prithivMLmods_Megatron-Opus-14B-2.1/1762652580.4678242",
-  "retrieved_timestamp": "1762652580.467825",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "prithivMLmods/Megatron-Opus-14B-2.1",
-    "developer": "prithivMLmods",
-    "inference_platform": "unknown",
-    "id": "prithivMLmods/Megatron-Opus-14B-2.1",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 14.66
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.02455484780382718
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6726960005125086
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2998489425981873
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.38338926174496646
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.49275
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5173703457446809
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/prithivMLmods/Megatron-Opus-14B-2.1/169d5ad3-ae4a-42de-b951-f264d85bf623.json b/data/hfopenllm_v2/prithivMLmods/Megatron-Opus-14B-2.1/169d5ad3-ae4a-42de-b951-f264d85bf623.json
new file mode 100644
index 000000000..0def4383d
--- /dev/null
+++ b/data/hfopenllm_v2/prithivMLmods/Megatron-Opus-14B-2.1/169d5ad3-ae4a-42de-b951-f264d85bf623.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/prithivMLmods_Megatron-Opus-14B-2.1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Megatron-Opus-14B-2.1",
+    "id": "prithivMLmods/Megatron-Opus-14B-2.1",
+    "developer": "prithivMLmods",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 14.66
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0246
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6727
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2998
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3834
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4928
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5174
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/prithivMLmods/Megatron-Opus-14B-Exp/ac65fabb-07d5-457d-844e-19aecf2b18e0.json b/data/hfopenllm_v2/prithivMLmods/Megatron-Opus-14B-Exp/ac65fabb-07d5-457d-844e-19aecf2b18e0.json
deleted file mode 100644
index 02caa8249..000000000
--- a/data/hfopenllm_v2/prithivMLmods/Megatron-Opus-14B-Exp/ac65fabb-07d5-457d-844e-19aecf2b18e0.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/prithivMLmods_Megatron-Opus-14B-Exp/1762652580.46803",
-  "retrieved_timestamp": "1762652580.468031",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "prithivMLmods/Megatron-Opus-14B-Exp",
-    "developer": "prithivMLmods",
-    "inference_platform": "unknown",
-    "id": "prithivMLmods/Megatron-Opus-14B-Exp",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 14.766
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4979410187192206
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6516090109599467
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.35347432024169184
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.375
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.48865625
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5400598404255319
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/prithivMLmods/Megatron-Opus-14B-Exp/e84c3b50-4ea9-4f41-be11-50c6aa3d4656.json b/data/hfopenllm_v2/prithivMLmods/Megatron-Opus-14B-Exp/e84c3b50-4ea9-4f41-be11-50c6aa3d4656.json
new file mode 100644
index 000000000..6ccd36216
--- /dev/null
+++ b/data/hfopenllm_v2/prithivMLmods/Megatron-Opus-14B-Exp/e84c3b50-4ea9-4f41-be11-50c6aa3d4656.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/prithivMLmods_Megatron-Opus-14B-Exp/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Megatron-Opus-14B-Exp",
+    "id": "prithivMLmods/Megatron-Opus-14B-Exp",
+    "developer": "prithivMLmods",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.766
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4979
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6516
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3535
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.375
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4887
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5401
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/prithivMLmods/Megatron-Opus-14B-Stock/594780dc-d969-4a6b-b90b-1cc32f40c452.json b/data/hfopenllm_v2/prithivMLmods/Megatron-Opus-14B-Stock/594780dc-d969-4a6b-b90b-1cc32f40c452.json
new file mode 100644
index 000000000..5f0f9b228
--- /dev/null
+++ b/data/hfopenllm_v2/prithivMLmods/Megatron-Opus-14B-Stock/594780dc-d969-4a6b-b90b-1cc32f40c452.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/prithivMLmods_Megatron-Opus-14B-Stock/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Megatron-Opus-14B-Stock",
+    "id": "prithivMLmods/Megatron-Opus-14B-Stock",
+    "developer": "prithivMLmods",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.766
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5174
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6412
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3346
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.375
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.482
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5293
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/prithivMLmods/Megatron-Opus-14B-Stock/8a0828ef-56a0-4c2b-bc61-f955c56b7700.json b/data/hfopenllm_v2/prithivMLmods/Megatron-Opus-14B-Stock/8a0828ef-56a0-4c2b-bc61-f955c56b7700.json
deleted file mode 100644
index dcf541677..000000000
--- a/data/hfopenllm_v2/prithivMLmods/Megatron-Opus-14B-Stock/8a0828ef-56a0-4c2b-bc61-f955c56b7700.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/prithivMLmods_Megatron-Opus-14B-Stock/1762652580.468238",
-  "retrieved_timestamp": "1762652580.468238",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "prithivMLmods/Megatron-Opus-14B-Stock",
-    "developer": "prithivMLmods",
-    "inference_platform": "unknown",
-    "id": "prithivMLmods/Megatron-Opus-14B-Stock",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 14.766
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5173750094194515
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6411753580495262
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.33459214501510576
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.375
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.48202083333333334
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5293384308510638
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/prithivMLmods/Megatron-Opus-7B-Exp/4ff7c238-d69c-4b92-83d0-69cacdfa0fe6.json b/data/hfopenllm_v2/prithivMLmods/Megatron-Opus-7B-Exp/4ff7c238-d69c-4b92-83d0-69cacdfa0fe6.json
new file mode 100644
index 000000000..781a02264
--- /dev/null
+++ b/data/hfopenllm_v2/prithivMLmods/Megatron-Opus-7B-Exp/4ff7c238-d69c-4b92-83d0-69cacdfa0fe6.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/prithivMLmods_Megatron-Opus-7B-Exp/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Megatron-Opus-7B-Exp",
+    "id": "prithivMLmods/Megatron-Opus-7B-Exp",
+    "developer": "prithivMLmods",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 7.456
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6017
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5367
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1971
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3112
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4186
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.39
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/prithivMLmods/Megatron-Opus-7B-Exp/94536d01-2de8-4305-83aa-2673a226ab64.json b/data/hfopenllm_v2/prithivMLmods/Megatron-Opus-7B-Exp/94536d01-2de8-4305-83aa-2673a226ab64.json
deleted file mode 100644
index 91c9d0cf2..000000000
--- a/data/hfopenllm_v2/prithivMLmods/Megatron-Opus-7B-Exp/94536d01-2de8-4305-83aa-2673a226ab64.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/prithivMLmods_Megatron-Opus-7B-Exp/1762652580.468447",
-  "retrieved_timestamp": "1762652580.468448",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "prithivMLmods/Megatron-Opus-7B-Exp",
-    "developer": "prithivMLmods",
-    "inference_platform": "unknown",
-    "id": "prithivMLmods/Megatron-Opus-7B-Exp",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 7.456
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6017300761978217
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5367154102661396
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1971299093655589
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.311241610738255
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4185833333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3900432180851064
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/prithivMLmods/Messier-Opus-14B-Elite7/bb576dc9-eede-48d6-b438-732da91a4d29.json b/data/hfopenllm_v2/prithivMLmods/Messier-Opus-14B-Elite7/bb576dc9-eede-48d6-b438-732da91a4d29.json
new file mode 100644
index 000000000..a719fbf21
--- /dev/null
+++ b/data/hfopenllm_v2/prithivMLmods/Messier-Opus-14B-Elite7/bb576dc9-eede-48d6-b438-732da91a4d29.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/prithivMLmods_Messier-Opus-14B-Elite7/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Messier-Opus-14B-Elite7",
+    "id": "prithivMLmods/Messier-Opus-14B-Elite7",
+    "developer": "prithivMLmods",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.766
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7113
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6499
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4071
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3909
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4886
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5404
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/prithivMLmods/Messier-Opus-14B-Elite7/e2ac8e52-8326-496a-b904-ca0e48190b3b.json b/data/hfopenllm_v2/prithivMLmods/Messier-Opus-14B-Elite7/e2ac8e52-8326-496a-b904-ca0e48190b3b.json
deleted file mode 100644
index 98623f65a..000000000
--- a/data/hfopenllm_v2/prithivMLmods/Messier-Opus-14B-Elite7/e2ac8e52-8326-496a-b904-ca0e48190b3b.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/prithivMLmods_Messier-Opus-14B-Elite7/1762652580.4686568",
-  "retrieved_timestamp": "1762652580.468658",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "prithivMLmods/Messier-Opus-14B-Elite7",
-    "developer": "prithivMLmods",
-    "inference_platform": "unknown",
-    "id": "prithivMLmods/Messier-Opus-14B-Elite7",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 14.766
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7113392465325337
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
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diff --git a/data/hfopenllm_v2/prithivMLmods/Omni-Reasoner-Merged/0fb2fe17-b55d-4802-ad48-bd4d711e1e0f.json b/data/hfopenllm_v2/prithivMLmods/Omni-Reasoner-Merged/0fb2fe17-b55d-4802-ad48-bd4d711e1e0f.json
new file mode 100644
index 000000000..86bda99c0
--- /dev/null
+++ b/data/hfopenllm_v2/prithivMLmods/Omni-Reasoner-Merged/0fb2fe17-b55d-4802-ad48-bd4d711e1e0f.json
@@ -0,0 +1,132 @@
+{
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+  "evaluation_id": "hfopenllm_v2/prithivMLmods_Omni-Reasoner-Merged/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Omni-Reasoner-Merged",
+    "id": "prithivMLmods/Omni-Reasoner-Merged",
+    "developer": "prithivMLmods",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
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+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
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+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5508
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+    {
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+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4364
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/prithivMLmods/Omni-Reasoner-Merged/8043bcfd-1a4c-45c5-aca4-f23f02bd5562.json b/data/hfopenllm_v2/prithivMLmods/Omni-Reasoner-Merged/8043bcfd-1a4c-45c5-aca4-f23f02bd5562.json
deleted file mode 100644
index cd6b7e1ea..000000000
--- a/data/hfopenllm_v2/prithivMLmods/Omni-Reasoner-Merged/8043bcfd-1a4c-45c5-aca4-f23f02bd5562.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
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-    "developer": "prithivMLmods",
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-        "max_score": 1
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-}
diff --git a/data/hfopenllm_v2/prithivMLmods/Omni-Reasoner3-Merged/03d59002-dc98-467f-b2a9-605ef8d9b763.json b/data/hfopenllm_v2/prithivMLmods/Omni-Reasoner3-Merged/03d59002-dc98-467f-b2a9-605ef8d9b763.json
new file mode 100644
index 000000000..12f798f0d
--- /dev/null
+++ b/data/hfopenllm_v2/prithivMLmods/Omni-Reasoner3-Merged/03d59002-dc98-467f-b2a9-605ef8d9b763.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/prithivMLmods_Omni-Reasoner3-Merged/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Omni-Reasoner3-Merged",
+    "id": "prithivMLmods/Omni-Reasoner3-Merged",
+    "developer": "prithivMLmods",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 3.213
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4935
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4388
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1088
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2643
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3522
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.295
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/prithivMLmods/Omni-Reasoner3-Merged/972cdfdc-1c7f-4900-8acf-d5eed0ccc968.json b/data/hfopenllm_v2/prithivMLmods/Omni-Reasoner3-Merged/972cdfdc-1c7f-4900-8acf-d5eed0ccc968.json
deleted file mode 100644
index 896bd24dd..000000000
--- a/data/hfopenllm_v2/prithivMLmods/Omni-Reasoner3-Merged/972cdfdc-1c7f-4900-8acf-d5eed0ccc968.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "model_info": {
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-    "developer": "prithivMLmods",
-    "inference_platform": "unknown",
-    "id": "prithivMLmods/Omni-Reasoner3-Merged",
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-}
diff --git a/data/hfopenllm_v2/prithivMLmods/Pegasus-Opus-14B-Exp/5cc40900-fe74-469a-99c0-74e998b0e316.json b/data/hfopenllm_v2/prithivMLmods/Pegasus-Opus-14B-Exp/5cc40900-fe74-469a-99c0-74e998b0e316.json
deleted file mode 100644
index 10aac2c61..000000000
--- a/data/hfopenllm_v2/prithivMLmods/Pegasus-Opus-14B-Exp/5cc40900-fe74-469a-99c0-74e998b0e316.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
-    "name": "prithivMLmods/Pegasus-Opus-14B-Exp",
-    "developer": "prithivMLmods",
-    "inference_platform": "unknown",
-    "id": "prithivMLmods/Pegasus-Opus-14B-Exp",
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new file mode 100644
index 000000000..8f2a0236b
--- /dev/null
+++ b/data/hfopenllm_v2/prithivMLmods/Pegasus-Opus-14B-Exp/8a7034fd-7027-4a87-9cac-c95b745935d0.json
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diff --git a/data/hfopenllm_v2/prithivMLmods/Phi-4-Empathetic/717f745f-1eae-4277-8a31-dbed140ef3e8.json b/data/hfopenllm_v2/prithivMLmods/Phi-4-Empathetic/717f745f-1eae-4277-8a31-dbed140ef3e8.json
new file mode 100644
index 000000000..6b7f41a83
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+++ b/data/hfopenllm_v2/prithivMLmods/Phi-4-Empathetic/717f745f-1eae-4277-8a31-dbed140ef3e8.json
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/prithivMLmods/Phi-4-Math-IO/2dc78735-c0c3-4dd7-8e97-52c92785e623.json b/data/hfopenllm_v2/prithivMLmods/Phi-4-Math-IO/2dc78735-c0c3-4dd7-8e97-52c92785e623.json
new file mode 100644
index 000000000..6dc544cef
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+++ b/data/hfopenllm_v2/prithivMLmods/Phi-4-Math-IO/2dc78735-c0c3-4dd7-8e97-52c92785e623.json
@@ -0,0 +1,132 @@
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/prithivMLmods/Phi-4-QwQ/e9ab98ff-5cf0-4437-9cf3-c77ecb546c84.json b/data/hfopenllm_v2/prithivMLmods/Phi-4-QwQ/e9ab98ff-5cf0-4437-9cf3-c77ecb546c84.json
new file mode 100644
index 000000000..6915cdbb1
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+++ b/data/hfopenllm_v2/prithivMLmods/Phi-4-QwQ/e9ab98ff-5cf0-4437-9cf3-c77ecb546c84.json
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/prithivMLmods/Phi-4-Super-1/6303d73e-4129-472a-a6fd-c64cb3de7204.json b/data/hfopenllm_v2/prithivMLmods/Phi-4-Super-1/6303d73e-4129-472a-a6fd-c64cb3de7204.json
new file mode 100644
index 000000000..6500288f7
--- /dev/null
+++ b/data/hfopenllm_v2/prithivMLmods/Phi-4-Super-1/6303d73e-4129-472a-a6fd-c64cb3de7204.json
@@ -0,0 +1,132 @@
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/prithivMLmods/Phi-4-Super-o1/8a689e8f-19cc-45b7-80be-ce861a549af7.json b/data/hfopenllm_v2/prithivMLmods/Phi-4-Super-o1/8a689e8f-19cc-45b7-80be-ce861a549af7.json
new file mode 100644
index 000000000..6a3f46611
--- /dev/null
+++ b/data/hfopenllm_v2/prithivMLmods/Phi-4-Super-o1/8a689e8f-19cc-45b7-80be-ce861a549af7.json
@@ -0,0 +1,132 @@
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/prithivMLmods/Phi-4-Super/84881315-55a4-4f05-a115-cf82f850090d.json b/data/hfopenllm_v2/prithivMLmods/Phi-4-Super/84881315-55a4-4f05-a115-cf82f850090d.json
new file mode 100644
index 000000000..659daae2b
--- /dev/null
+++ b/data/hfopenllm_v2/prithivMLmods/Phi-4-Super/84881315-55a4-4f05-a115-cf82f850090d.json
@@ -0,0 +1,132 @@
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/prithivMLmods/Phi-4-o1/970dc71c-42be-4d50-86ac-f7301ec969ca.json b/data/hfopenllm_v2/prithivMLmods/Phi-4-o1/970dc71c-42be-4d50-86ac-f7301ec969ca.json
new file mode 100644
index 000000000..f575a083a
--- /dev/null
+++ b/data/hfopenllm_v2/prithivMLmods/Phi-4-o1/970dc71c-42be-4d50-86ac-f7301ec969ca.json
@@ -0,0 +1,132 @@
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/prithivMLmods/Phi4-Super/c02e1fcf-a837-4b8a-a42d-63837c56128d.json b/data/hfopenllm_v2/prithivMLmods/Phi4-Super/c02e1fcf-a837-4b8a-a42d-63837c56128d.json
new file mode 100644
index 000000000..af8b3653b
--- /dev/null
+++ b/data/hfopenllm_v2/prithivMLmods/Phi4-Super/c02e1fcf-a837-4b8a-a42d-63837c56128d.json
@@ -0,0 +1,132 @@
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/prithivMLmods/Porpoise-Opus-14B-Exp/37280340-5b9a-47d9-aa37-9299d9025518.json b/data/hfopenllm_v2/prithivMLmods/Porpoise-Opus-14B-Exp/37280340-5b9a-47d9-aa37-9299d9025518.json
new file mode 100644
index 000000000..71bc4e12e
--- /dev/null
+++ b/data/hfopenllm_v2/prithivMLmods/Porpoise-Opus-14B-Exp/37280340-5b9a-47d9-aa37-9299d9025518.json
@@ -0,0 +1,132 @@
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+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6519
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4041
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3935
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4926
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5396
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/prithivMLmods/Porpoise-Opus-14B-Exp/79832ae5-0a80-4e46-8175-4baa240dc4d9.json b/data/hfopenllm_v2/prithivMLmods/Porpoise-Opus-14B-Exp/79832ae5-0a80-4e46-8175-4baa240dc4d9.json
deleted file mode 100644
index c8b0531d9..000000000
--- a/data/hfopenllm_v2/prithivMLmods/Porpoise-Opus-14B-Exp/79832ae5-0a80-4e46-8175-4baa240dc4d9.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/prithivMLmods_Porpoise-Opus-14B-Exp/1762652580.47141",
-  "retrieved_timestamp": "1762652580.471411",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "prithivMLmods/Porpoise-Opus-14B-Exp",
-    "developer": "prithivMLmods",
-    "inference_platform": "unknown",
-    "id": "prithivMLmods/Porpoise-Opus-14B-Exp",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 14.766
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7098155117310957
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6518903547146537
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4040785498489426
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3934563758389262
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4925625
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5396442819148937
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/prithivMLmods/Primal-Opus-14B-Optimus-v1/46e7ad9b-b774-46b9-933c-913d1b307f7a.json b/data/hfopenllm_v2/prithivMLmods/Primal-Opus-14B-Optimus-v1/46e7ad9b-b774-46b9-933c-913d1b307f7a.json
new file mode 100644
index 000000000..bb915353c
--- /dev/null
+++ b/data/hfopenllm_v2/prithivMLmods/Primal-Opus-14B-Optimus-v1/46e7ad9b-b774-46b9-933c-913d1b307f7a.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/prithivMLmods_Primal-Opus-14B-Optimus-v1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Primal-Opus-14B-Optimus-v1",
+    "id": "prithivMLmods/Primal-Opus-14B-Optimus-v1",
+    "developer": "prithivMLmods",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.766
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5013
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6419
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3384
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3725
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4847
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5259
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/prithivMLmods/Primal-Opus-14B-Optimus-v1/94c21b1f-ce8d-4488-a1d1-2769d34f29ec.json b/data/hfopenllm_v2/prithivMLmods/Primal-Opus-14B-Optimus-v1/94c21b1f-ce8d-4488-a1d1-2769d34f29ec.json
deleted file mode 100644
index cea103f3f..000000000
--- a/data/hfopenllm_v2/prithivMLmods/Primal-Opus-14B-Optimus-v1/94c21b1f-ce8d-4488-a1d1-2769d34f29ec.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/prithivMLmods_Primal-Opus-14B-Optimus-v1/1762652580.4716318",
-  "retrieved_timestamp": "1762652580.471633",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "prithivMLmods/Primal-Opus-14B-Optimus-v1",
-    "developer": "prithivMLmods",
-    "inference_platform": "unknown",
-    "id": "prithivMLmods/Primal-Opus-14B-Optimus-v1",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 14.766
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5013131823561483
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6419423743359406
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.338368580060423
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3724832214765101
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.48471875000000003
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5259308510638298
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/prithivMLmods/Primal-Opus-14B-Optimus-v2/80407172-765a-4aa9-b189-a322150b1a7b.json b/data/hfopenllm_v2/prithivMLmods/Primal-Opus-14B-Optimus-v2/80407172-765a-4aa9-b189-a322150b1a7b.json
deleted file mode 100644
index 45650cc2f..000000000
--- a/data/hfopenllm_v2/prithivMLmods/Primal-Opus-14B-Optimus-v2/80407172-765a-4aa9-b189-a322150b1a7b.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/prithivMLmods_Primal-Opus-14B-Optimus-v2/1762652580.471854",
-  "retrieved_timestamp": "1762652580.471854",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "prithivMLmods/Primal-Opus-14B-Optimus-v2",
-    "developer": "prithivMLmods",
-    "inference_platform": "unknown",
-    "id": "prithivMLmods/Primal-Opus-14B-Optimus-v2",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 14.766
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6403730989330532
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6543780845512958
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4206948640483384
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.39177852348993286
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.48998958333333337
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.542220744680851
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/prithivMLmods/Primal-Opus-14B-Optimus-v2/c154d3f5-39dc-43c0-85ea-2e43b08494b4.json b/data/hfopenllm_v2/prithivMLmods/Primal-Opus-14B-Optimus-v2/c154d3f5-39dc-43c0-85ea-2e43b08494b4.json
new file mode 100644
index 000000000..ff98c5def
--- /dev/null
+++ b/data/hfopenllm_v2/prithivMLmods/Primal-Opus-14B-Optimus-v2/c154d3f5-39dc-43c0-85ea-2e43b08494b4.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/prithivMLmods_Primal-Opus-14B-Optimus-v2/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Primal-Opus-14B-Optimus-v2",
+    "id": "prithivMLmods/Primal-Opus-14B-Optimus-v2",
+    "developer": "prithivMLmods",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.766
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6404
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6544
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4207
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3918
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.49
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5422
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/prithivMLmods/QwQ-LCoT-14B-Conversational/71114773-e285-4666-ae7f-5fd7c9084104.json b/data/hfopenllm_v2/prithivMLmods/QwQ-LCoT-14B-Conversational/71114773-e285-4666-ae7f-5fd7c9084104.json
deleted file mode 100644
index 2e8975026..000000000
--- a/data/hfopenllm_v2/prithivMLmods/QwQ-LCoT-14B-Conversational/71114773-e285-4666-ae7f-5fd7c9084104.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/prithivMLmods_QwQ-LCoT-14B-Conversational/1762652580.472128",
-  "retrieved_timestamp": "1762652580.472129",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "prithivMLmods/QwQ-LCoT-14B-Conversational",
-    "developer": "prithivMLmods",
-    "inference_platform": "unknown",
-    "id": "prithivMLmods/QwQ-LCoT-14B-Conversational",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 14.77
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4047427492386867
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6239828933798323
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4652567975830816
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3498322147651007
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.48471875000000003
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.527842420212766
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/prithivMLmods/QwQ-LCoT-14B-Conversational/abd830e4-2b7f-4895-8262-75926edbafd9.json b/data/hfopenllm_v2/prithivMLmods/QwQ-LCoT-14B-Conversational/abd830e4-2b7f-4895-8262-75926edbafd9.json
new file mode 100644
index 000000000..370d5eafa
--- /dev/null
+++ b/data/hfopenllm_v2/prithivMLmods/QwQ-LCoT-14B-Conversational/abd830e4-2b7f-4895-8262-75926edbafd9.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/prithivMLmods_QwQ-LCoT-14B-Conversational/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "QwQ-LCoT-14B-Conversational",
+    "id": "prithivMLmods/QwQ-LCoT-14B-Conversational",
+    "developer": "prithivMLmods",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.77
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4047
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.624
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4653
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3498
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4847
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5278
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/prithivMLmods/QwQ-LCoT-3B-Instruct/2c945021-72e3-4e7a-9c6f-81efb27b2206.json b/data/hfopenllm_v2/prithivMLmods/QwQ-LCoT-3B-Instruct/2c945021-72e3-4e7a-9c6f-81efb27b2206.json
new file mode 100644
index 000000000..183db0968
--- /dev/null
+++ b/data/hfopenllm_v2/prithivMLmods/QwQ-LCoT-3B-Instruct/2c945021-72e3-4e7a-9c6f-81efb27b2206.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/prithivMLmods_QwQ-LCoT-3B-Instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "QwQ-LCoT-3B-Instruct",
+    "id": "prithivMLmods/QwQ-LCoT-3B-Instruct",
+    "developer": "prithivMLmods",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 3.086
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4354
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4763
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2825
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2819
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4358
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3582
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/prithivMLmods/QwQ-LCoT-3B-Instruct/87fc8696-17f1-4a86-8d0d-f5b124144384.json b/data/hfopenllm_v2/prithivMLmods/QwQ-LCoT-3B-Instruct/87fc8696-17f1-4a86-8d0d-f5b124144384.json
deleted file mode 100644
index c6d557f2f..000000000
--- a/data/hfopenllm_v2/prithivMLmods/QwQ-LCoT-3B-Instruct/87fc8696-17f1-4a86-8d0d-f5b124144384.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/prithivMLmods_QwQ-LCoT-3B-Instruct/1762652580.47235",
-  "retrieved_timestamp": "1762652580.472351",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "prithivMLmods/QwQ-LCoT-3B-Instruct",
-    "developer": "prithivMLmods",
-    "inference_platform": "unknown",
-    "id": "prithivMLmods/QwQ-LCoT-3B-Instruct",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 3.086
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4354424039326764
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.47629783868435643
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2824773413897281
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.28187919463087246
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.43579166666666663
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3582114361702128
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/prithivMLmods/QwQ-LCoT-7B-Instruct/23f056f6-67dd-41fd-b1af-a1cf9abf784c.json b/data/hfopenllm_v2/prithivMLmods/QwQ-LCoT-7B-Instruct/23f056f6-67dd-41fd-b1af-a1cf9abf784c.json
deleted file mode 100644
index d479bf3ad..000000000
--- a/data/hfopenllm_v2/prithivMLmods/QwQ-LCoT-7B-Instruct/23f056f6-67dd-41fd-b1af-a1cf9abf784c.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/prithivMLmods_QwQ-LCoT-7B-Instruct/1762652580.4725702",
-  "retrieved_timestamp": "1762652580.472571",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "prithivMLmods/QwQ-LCoT-7B-Instruct",
-    "developer": "prithivMLmods",
-    "inference_platform": "unknown",
-    "id": "prithivMLmods/QwQ-LCoT-7B-Instruct",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.616
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4986901421561457
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5466466326018563
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
-        "score": 0.3716012084592145
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30201342281879195
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4801875
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4334275265957447
-      }
-    }
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-}
diff --git a/data/hfopenllm_v2/prithivMLmods/QwQ-LCoT-7B-Instruct/5f0ea694-7f73-45fa-b54f-49fc06d1a6d9.json b/data/hfopenllm_v2/prithivMLmods/QwQ-LCoT-7B-Instruct/5f0ea694-7f73-45fa-b54f-49fc06d1a6d9.json
new file mode 100644
index 000000000..97c5d8499
--- /dev/null
+++ b/data/hfopenllm_v2/prithivMLmods/QwQ-LCoT-7B-Instruct/5f0ea694-7f73-45fa-b54f-49fc06d1a6d9.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/prithivMLmods_QwQ-LCoT-7B-Instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "QwQ-LCoT-7B-Instruct",
+    "id": "prithivMLmods/QwQ-LCoT-7B-Instruct",
+    "developer": "prithivMLmods",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4987
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5466
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3716
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.302
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4802
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4334
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/prithivMLmods/QwQ-LCoT1-Merged/34aec318-6db4-4df6-9d6a-ad15e353f36a.json b/data/hfopenllm_v2/prithivMLmods/QwQ-LCoT1-Merged/34aec318-6db4-4df6-9d6a-ad15e353f36a.json
deleted file mode 100644
index 47c331ac0..000000000
--- a/data/hfopenllm_v2/prithivMLmods/QwQ-LCoT1-Merged/34aec318-6db4-4df6-9d6a-ad15e353f36a.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/prithivMLmods_QwQ-LCoT1-Merged/1762652580.47278",
-  "retrieved_timestamp": "1762652580.472781",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "prithivMLmods/QwQ-LCoT1-Merged",
-    "developer": "prithivMLmods",
-    "inference_platform": "unknown",
-    "id": "prithivMLmods/QwQ-LCoT1-Merged",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.616
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.47513486438206187
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.548095531408024
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3731117824773414
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3070469798657718
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.46961458333333334
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4357546542553192
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/prithivMLmods/QwQ-LCoT1-Merged/6c73f6ae-8ffd-4948-8071-33eab07437a6.json b/data/hfopenllm_v2/prithivMLmods/QwQ-LCoT1-Merged/6c73f6ae-8ffd-4948-8071-33eab07437a6.json
new file mode 100644
index 000000000..5f5612428
--- /dev/null
+++ b/data/hfopenllm_v2/prithivMLmods/QwQ-LCoT1-Merged/6c73f6ae-8ffd-4948-8071-33eab07437a6.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/prithivMLmods_QwQ-LCoT1-Merged/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "QwQ-LCoT1-Merged",
+    "id": "prithivMLmods/QwQ-LCoT1-Merged",
+    "developer": "prithivMLmods",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4751
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5481
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3731
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.307
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4696
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4358
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/prithivMLmods/QwQ-LCoT2-7B-Instruct/8c05d496-c21f-4a70-b312-1c1ba37d877a.json b/data/hfopenllm_v2/prithivMLmods/QwQ-LCoT2-7B-Instruct/8c05d496-c21f-4a70-b312-1c1ba37d877a.json
deleted file mode 100644
index 9ec579623..000000000
--- a/data/hfopenllm_v2/prithivMLmods/QwQ-LCoT2-7B-Instruct/8c05d496-c21f-4a70-b312-1c1ba37d877a.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/prithivMLmods_QwQ-LCoT2-7B-Instruct/1762652580.473001",
-  "retrieved_timestamp": "1762652580.473002",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "prithivMLmods/QwQ-LCoT2-7B-Instruct",
-    "developer": "prithivMLmods",
-    "inference_platform": "unknown",
-    "id": "prithivMLmods/QwQ-LCoT2-7B-Instruct",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.616
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5561177675235043
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5424862934133593
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3270392749244713
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2978187919463087
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4564375
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4341755319148936
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/prithivMLmods/QwQ-LCoT2-7B-Instruct/fbf71df3-b9c3-4f9c-b538-e4ccf097e81c.json b/data/hfopenllm_v2/prithivMLmods/QwQ-LCoT2-7B-Instruct/fbf71df3-b9c3-4f9c-b538-e4ccf097e81c.json
new file mode 100644
index 000000000..32ba1bb53
--- /dev/null
+++ b/data/hfopenllm_v2/prithivMLmods/QwQ-LCoT2-7B-Instruct/fbf71df3-b9c3-4f9c-b538-e4ccf097e81c.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/prithivMLmods_QwQ-LCoT2-7B-Instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "QwQ-LCoT2-7B-Instruct",
+    "id": "prithivMLmods/QwQ-LCoT2-7B-Instruct",
+    "developer": "prithivMLmods",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5561
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5425
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.327
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2978
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4564
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4342
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/prithivMLmods/QwQ-MathOct-7B/e3dcfd94-ca04-4cd3-ada5-e701a8b776da.json b/data/hfopenllm_v2/prithivMLmods/QwQ-MathOct-7B/e3dcfd94-ca04-4cd3-ada5-e701a8b776da.json
new file mode 100644
index 000000000..380be752b
--- /dev/null
+++ b/data/hfopenllm_v2/prithivMLmods/QwQ-MathOct-7B/e3dcfd94-ca04-4cd3-ada5-e701a8b776da.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/prithivMLmods_QwQ-MathOct-7B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "QwQ-MathOct-7B",
+    "id": "prithivMLmods/QwQ-MathOct-7B",
+    "developer": "prithivMLmods",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4684
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5486
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2953
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3029
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4601
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.433
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/prithivMLmods/QwQ-MathOct-7B/e703fed7-cf06-4caa-b78f-3e398b437671.json b/data/hfopenllm_v2/prithivMLmods/QwQ-MathOct-7B/e703fed7-cf06-4caa-b78f-3e398b437671.json
deleted file mode 100644
index 22f89f449..000000000
--- a/data/hfopenllm_v2/prithivMLmods/QwQ-MathOct-7B/e703fed7-cf06-4caa-b78f-3e398b437671.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/prithivMLmods_QwQ-MathOct-7B/1762652580.473228",
-  "retrieved_timestamp": "1762652580.4732292",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "prithivMLmods/QwQ-MathOct-7B",
-    "developer": "prithivMLmods",
-    "inference_platform": "unknown",
-    "id": "prithivMLmods/QwQ-MathOct-7B",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.616
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4684404047926169
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5485512215016556
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.29531722054380666
-      }
-    },
-    {
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-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3028523489932886
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4600625
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4330119680851064
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/prithivMLmods/QwQ-R1-Distill-1.5B-CoT/8dd67de7-0d3b-4359-b390-d90c609dea5a.json b/data/hfopenllm_v2/prithivMLmods/QwQ-R1-Distill-1.5B-CoT/8dd67de7-0d3b-4359-b390-d90c609dea5a.json
deleted file mode 100644
index 02c0248dc..000000000
--- a/data/hfopenllm_v2/prithivMLmods/QwQ-R1-Distill-1.5B-CoT/8dd67de7-0d3b-4359-b390-d90c609dea5a.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/prithivMLmods_QwQ-R1-Distill-1.5B-CoT/1762652580.4734771",
-  "retrieved_timestamp": "1762652580.473483",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "prithivMLmods/QwQ-R1-Distill-1.5B-CoT",
-    "developer": "prithivMLmods",
-    "inference_platform": "unknown",
-    "id": "prithivMLmods/QwQ-R1-Distill-1.5B-CoT",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 1.777
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    {
-      "evaluation_name": "BBH",
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2860738255033557
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.34339583333333334
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.19132313829787234
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/prithivMLmods/QwQ-R1-Distill-1.5B-CoT/9278bcf2-bfab-437f-bd64-7496b24fb8cf.json b/data/hfopenllm_v2/prithivMLmods/QwQ-R1-Distill-1.5B-CoT/9278bcf2-bfab-437f-bd64-7496b24fb8cf.json
new file mode 100644
index 000000000..cd87f5d54
--- /dev/null
+++ b/data/hfopenllm_v2/prithivMLmods/QwQ-R1-Distill-1.5B-CoT/9278bcf2-bfab-437f-bd64-7496b24fb8cf.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/prithivMLmods_QwQ-R1-Distill-1.5B-CoT/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "QwQ-R1-Distill-1.5B-CoT",
+    "id": "prithivMLmods/QwQ-R1-Distill-1.5B-CoT",
+    "developer": "prithivMLmods",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 1.777
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2194
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3666
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3346
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2861
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3434
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1913
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/prithivMLmods/QwQ-R1-Distill-7B-CoT/633aa068-5613-41d8-a194-aebc9ce1586f.json b/data/hfopenllm_v2/prithivMLmods/QwQ-R1-Distill-7B-CoT/633aa068-5613-41d8-a194-aebc9ce1586f.json
new file mode 100644
index 000000000..3e840aa4b
--- /dev/null
+++ b/data/hfopenllm_v2/prithivMLmods/QwQ-R1-Distill-7B-CoT/633aa068-5613-41d8-a194-aebc9ce1586f.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/prithivMLmods_QwQ-R1-Distill-7B-CoT/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "QwQ-R1-Distill-7B-CoT",
+    "id": "prithivMLmods/QwQ-R1-Distill-7B-CoT",
+    "developer": "prithivMLmods",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.35
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4388
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4683
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+    },
+    {
+      "evaluation_name": "GPQA",
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2936
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3779
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2804
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/prithivMLmods/QwQ-R1-Distill-7B-CoT/a723f173-af0e-4172-a43c-278ccbacac18.json b/data/hfopenllm_v2/prithivMLmods/QwQ-R1-Distill-7B-CoT/a723f173-af0e-4172-a43c-278ccbacac18.json
deleted file mode 100644
index 6772d638d..000000000
--- a/data/hfopenllm_v2/prithivMLmods/QwQ-R1-Distill-7B-CoT/a723f173-af0e-4172-a43c-278ccbacac18.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/prithivMLmods_QwQ-R1-Distill-7B-CoT/1762652580.473804",
-  "retrieved_timestamp": "1762652580.473805",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "prithivMLmods/QwQ-R1-Distill-7B-CoT",
-    "developer": "prithivMLmods",
-    "inference_platform": "unknown",
-    "id": "prithivMLmods/QwQ-R1-Distill-7B-CoT",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.616
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3500378994401522
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.438788672517715
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.46827794561933533
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2936241610738255
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37790624999999994
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2804188829787234
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/prithivMLmods/Qwen-7B-Distill-Reasoner/d3c1a922-a453-4c7b-b33b-52934e7bf72b.json b/data/hfopenllm_v2/prithivMLmods/Qwen-7B-Distill-Reasoner/d3c1a922-a453-4c7b-b33b-52934e7bf72b.json
new file mode 100644
index 000000000..d23b96a42
--- /dev/null
+++ b/data/hfopenllm_v2/prithivMLmods/Qwen-7B-Distill-Reasoner/d3c1a922-a453-4c7b-b33b-52934e7bf72b.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/prithivMLmods_Qwen-7B-Distill-Reasoner/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen-7B-Distill-Reasoner",
+    "id": "prithivMLmods/Qwen-7B-Distill-Reasoner",
+    "developer": "prithivMLmods",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3396
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4409
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.395
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3272
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.366
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2818
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/prithivMLmods/Qwen2.5-1.5B-DeepSeek-R1-Instruct/3a27b2a6-5eea-450b-91c7-1dc006229985.json b/data/hfopenllm_v2/prithivMLmods/Qwen2.5-1.5B-DeepSeek-R1-Instruct/3a27b2a6-5eea-450b-91c7-1dc006229985.json
new file mode 100644
index 000000000..5d9c9b69d
--- /dev/null
+++ b/data/hfopenllm_v2/prithivMLmods/Qwen2.5-1.5B-DeepSeek-R1-Instruct/3a27b2a6-5eea-450b-91c7-1dc006229985.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/prithivMLmods_Qwen2.5-1.5B-DeepSeek-R1-Instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-1.5B-DeepSeek-R1-Instruct",
+    "id": "prithivMLmods/Qwen2.5-1.5B-DeepSeek-R1-Instruct",
+    "developer": "prithivMLmods",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 1.777
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1397
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2824
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.276
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3724
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1123
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/prithivMLmods/Qwen2.5-1.5B-DeepSeek-R1-Instruct/b1430f51-cd48-4feb-8d94-c2a9a60f00bc.json b/data/hfopenllm_v2/prithivMLmods/Qwen2.5-1.5B-DeepSeek-R1-Instruct/b1430f51-cd48-4feb-8d94-c2a9a60f00bc.json
deleted file mode 100644
index 2343333f3..000000000
--- a/data/hfopenllm_v2/prithivMLmods/Qwen2.5-1.5B-DeepSeek-R1-Instruct/b1430f51-cd48-4feb-8d94-c2a9a60f00bc.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/prithivMLmods_Qwen2.5-1.5B-DeepSeek-R1-Instruct/1762652580.474298",
-  "retrieved_timestamp": "1762652580.474299",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "prithivMLmods/Qwen2.5-1.5B-DeepSeek-R1-Instruct",
-    "developer": "prithivMLmods",
-    "inference_platform": "unknown",
-    "id": "prithivMLmods/Qwen2.5-1.5B-DeepSeek-R1-Instruct",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 1.777
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.13968603305895025
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.28243669901671337
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.0
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.276006711409396
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3723541666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11228390957446809
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/prithivMLmods/Qwen2.5-14B-DeepSeek-R1-1M/395e37ae-005d-47c0-9cf5-919460e34350.json b/data/hfopenllm_v2/prithivMLmods/Qwen2.5-14B-DeepSeek-R1-1M/395e37ae-005d-47c0-9cf5-919460e34350.json
new file mode 100644
index 000000000..d92c0c284
--- /dev/null
+++ b/data/hfopenllm_v2/prithivMLmods/Qwen2.5-14B-DeepSeek-R1-1M/395e37ae-005d-47c0-9cf5-919460e34350.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/prithivMLmods_Qwen2.5-14B-DeepSeek-R1-1M/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-14B-DeepSeek-R1-1M",
+    "id": "prithivMLmods/Qwen2.5-14B-DeepSeek-R1-1M",
+    "developer": "prithivMLmods",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.77
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4193
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5935
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5128
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3322
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4606
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4899
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/prithivMLmods/Qwen2.5-7B-DeepSeek-R1-1M/b03b7c7a-f263-4712-bcf4-2e32ca4bd237.json b/data/hfopenllm_v2/prithivMLmods/Qwen2.5-7B-DeepSeek-R1-1M/b03b7c7a-f263-4712-bcf4-2e32ca4bd237.json
new file mode 100644
index 000000000..5a7f8d146
--- /dev/null
+++ b/data/hfopenllm_v2/prithivMLmods/Qwen2.5-7B-DeepSeek-R1-1M/b03b7c7a-f263-4712-bcf4-2e32ca4bd237.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/prithivMLmods_Qwen2.5-7B-DeepSeek-R1-1M/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-7B-DeepSeek-R1-1M",
+    "id": "prithivMLmods/Qwen2.5-7B-DeepSeek-R1-1M",
+    "developer": "prithivMLmods",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1861
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3126
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0151
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2617
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3417
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1201
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/prithivMLmods/SmolLM2-CoT-360M/452ab810-6921-4922-9446-f2a5c081dc61.json b/data/hfopenllm_v2/prithivMLmods/SmolLM2-CoT-360M/452ab810-6921-4922-9446-f2a5c081dc61.json
new file mode 100644
index 000000000..b9e15197c
--- /dev/null
+++ b/data/hfopenllm_v2/prithivMLmods/SmolLM2-CoT-360M/452ab810-6921-4922-9446-f2a5c081dc61.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/prithivMLmods_SmolLM2-CoT-360M/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "SmolLM2-CoT-360M",
+    "id": "prithivMLmods/SmolLM2-CoT-360M",
+    "developer": "prithivMLmods",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 0.362
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2216
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3135
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0204
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2366
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3794
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1085
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/prithivMLmods/SmolLM2-CoT-360M/8ce4dea8-d674-4b95-b025-0c6ab60f6544.json b/data/hfopenllm_v2/prithivMLmods/SmolLM2-CoT-360M/8ce4dea8-d674-4b95-b025-0c6ab60f6544.json
deleted file mode 100644
index a0234f405..000000000
--- a/data/hfopenllm_v2/prithivMLmods/SmolLM2-CoT-360M/8ce4dea8-d674-4b95-b025-0c6ab60f6544.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/prithivMLmods_SmolLM2-CoT-360M/1762652580.475137",
-  "retrieved_timestamp": "1762652580.475137",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "prithivMLmods/SmolLM2-CoT-360M",
-    "developer": "prithivMLmods",
-    "inference_platform": "unknown",
-    "id": "prithivMLmods/SmolLM2-CoT-360M",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 0.362
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.22156877086131466
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.31352960121180296
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.02039274924471299
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.23657718120805368
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3793958333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1085438829787234
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/prithivMLmods/Sombrero-Opus-14B-Elite5/1abba5a0-f1a3-4f39-a81c-f4cd641d33ac.json b/data/hfopenllm_v2/prithivMLmods/Sombrero-Opus-14B-Elite5/1abba5a0-f1a3-4f39-a81c-f4cd641d33ac.json
new file mode 100644
index 000000000..29c5fd248
--- /dev/null
+++ b/data/hfopenllm_v2/prithivMLmods/Sombrero-Opus-14B-Elite5/1abba5a0-f1a3-4f39-a81c-f4cd641d33ac.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/prithivMLmods_Sombrero-Opus-14B-Elite5/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Sombrero-Opus-14B-Elite5",
+    "id": "prithivMLmods/Sombrero-Opus-14B-Elite5",
+    "developer": "prithivMLmods",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.766
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7881
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6502
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5355
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3364
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4287
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.52
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/prithivMLmods/Sombrero-Opus-14B-Elite5/3b12518e-ef16-4a72-89bb-071802ca636c.json b/data/hfopenllm_v2/prithivMLmods/Sombrero-Opus-14B-Elite5/3b12518e-ef16-4a72-89bb-071802ca636c.json
deleted file mode 100644
index 5f56d83cf..000000000
--- a/data/hfopenllm_v2/prithivMLmods/Sombrero-Opus-14B-Elite5/3b12518e-ef16-4a72-89bb-071802ca636c.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/prithivMLmods_Sombrero-Opus-14B-Elite5/1762652580.4753642",
-  "retrieved_timestamp": "1762652580.4753652",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "prithivMLmods/Sombrero-Opus-14B-Elite5",
-    "developer": "prithivMLmods",
-    "inference_platform": "unknown",
-    "id": "prithivMLmods/Sombrero-Opus-14B-Elite5",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 14.766
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7880756393037142
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6501539892126272
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5354984894259819
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.33640939597315433
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4286666666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.520029920212766
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/prithivMLmods/Sombrero-Opus-14B-Elite6/0d354980-9f24-4b79-afb7-a7e6f52e8131.json b/data/hfopenllm_v2/prithivMLmods/Sombrero-Opus-14B-Elite6/0d354980-9f24-4b79-afb7-a7e6f52e8131.json
deleted file mode 100644
index 90dcbac66..000000000
--- a/data/hfopenllm_v2/prithivMLmods/Sombrero-Opus-14B-Elite6/0d354980-9f24-4b79-afb7-a7e6f52e8131.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/prithivMLmods_Sombrero-Opus-14B-Elite6/1762652580.47572",
-  "retrieved_timestamp": "1762652580.475722",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "prithivMLmods/Sombrero-Opus-14B-Elite6",
-    "developer": "prithivMLmods",
-    "inference_platform": "unknown",
-    "id": "prithivMLmods/Sombrero-Opus-14B-Elite6",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 14.766
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7226049105262924
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6487937804559186
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4078549848942598
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3934563758389262
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.48859375
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5389793882978723
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/prithivMLmods/Sombrero-Opus-14B-Elite6/b2eefd3a-795c-4dc0-a10e-924bece05ea5.json b/data/hfopenllm_v2/prithivMLmods/Sombrero-Opus-14B-Elite6/b2eefd3a-795c-4dc0-a10e-924bece05ea5.json
new file mode 100644
index 000000000..625a33f9d
--- /dev/null
+++ b/data/hfopenllm_v2/prithivMLmods/Sombrero-Opus-14B-Elite6/b2eefd3a-795c-4dc0-a10e-924bece05ea5.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/prithivMLmods_Sombrero-Opus-14B-Elite6/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Sombrero-Opus-14B-Elite6",
+    "id": "prithivMLmods/Sombrero-Opus-14B-Elite6",
+    "developer": "prithivMLmods",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.766
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7226
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6488
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4079
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3935
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4886
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.539
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/prithivMLmods/Sombrero-Opus-14B-Sm1/008cc919-f156-4a2e-af4b-eed015ca91f6.json b/data/hfopenllm_v2/prithivMLmods/Sombrero-Opus-14B-Sm1/008cc919-f156-4a2e-af4b-eed015ca91f6.json
new file mode 100644
index 000000000..f425d01b1
--- /dev/null
+++ b/data/hfopenllm_v2/prithivMLmods/Sombrero-Opus-14B-Sm1/008cc919-f156-4a2e-af4b-eed015ca91f6.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/prithivMLmods_Sombrero-Opus-14B-Sm1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Sombrero-Opus-14B-Sm1",
+    "id": "prithivMLmods/Sombrero-Opus-14B-Sm1",
+    "developer": "prithivMLmods",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.77
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3813
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6355
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5665
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4035
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5299
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5125
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/prithivMLmods/Sombrero-Opus-14B-Sm1/5ce1b22c-7daa-4714-a774-d7d509fa869f.json b/data/hfopenllm_v2/prithivMLmods/Sombrero-Opus-14B-Sm1/5ce1b22c-7daa-4714-a774-d7d509fa869f.json
deleted file mode 100644
index 0d48f3121..000000000
--- a/data/hfopenllm_v2/prithivMLmods/Sombrero-Opus-14B-Sm1/5ce1b22c-7daa-4714-a774-d7d509fa869f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/prithivMLmods_Sombrero-Opus-14B-Sm1/1762652580.476064",
-  "retrieved_timestamp": "1762652580.476065",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "prithivMLmods/Sombrero-Opus-14B-Sm1",
-    "developer": "prithivMLmods",
-    "inference_platform": "unknown",
-    "id": "prithivMLmods/Sombrero-Opus-14B-Sm1",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 14.77
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3812872068334242
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.635462046379832
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5664652567975831
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4035234899328859
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5298958333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.512466755319149
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/prithivMLmods/Sombrero-Opus-14B-Sm2/6a1519e9-062b-454f-97cb-e57454f74e9a.json b/data/hfopenllm_v2/prithivMLmods/Sombrero-Opus-14B-Sm2/6a1519e9-062b-454f-97cb-e57454f74e9a.json
deleted file mode 100644
index 8756134ac..000000000
--- a/data/hfopenllm_v2/prithivMLmods/Sombrero-Opus-14B-Sm2/6a1519e9-062b-454f-97cb-e57454f74e9a.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/prithivMLmods_Sombrero-Opus-14B-Sm2/1762652580.476301",
-  "retrieved_timestamp": "1762652580.4763021",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "prithivMLmods/Sombrero-Opus-14B-Sm2",
-    "developer": "prithivMLmods",
-    "inference_platform": "unknown",
-    "id": "prithivMLmods/Sombrero-Opus-14B-Sm2",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 14.77
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4272242095417935
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6609367219259568
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.486404833836858
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3884228187919463
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5088125
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5344913563829787
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/prithivMLmods/Sombrero-Opus-14B-Sm2/9d56082f-5e46-4d7a-8f06-cb44fc983b3f.json b/data/hfopenllm_v2/prithivMLmods/Sombrero-Opus-14B-Sm2/9d56082f-5e46-4d7a-8f06-cb44fc983b3f.json
new file mode 100644
index 000000000..333fc6de0
--- /dev/null
+++ b/data/hfopenllm_v2/prithivMLmods/Sombrero-Opus-14B-Sm2/9d56082f-5e46-4d7a-8f06-cb44fc983b3f.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/prithivMLmods_Sombrero-Opus-14B-Sm2/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Sombrero-Opus-14B-Sm2",
+    "id": "prithivMLmods/Sombrero-Opus-14B-Sm2",
+    "developer": "prithivMLmods",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.77
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4272
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6609
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4864
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3884
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5088
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5345
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/prithivMLmods/Sombrero-Opus-14B-Sm4/79a8057c-0791-42d6-adef-924a9cff0917.json b/data/hfopenllm_v2/prithivMLmods/Sombrero-Opus-14B-Sm4/79a8057c-0791-42d6-adef-924a9cff0917.json
deleted file mode 100644
index 1e2f11833..000000000
--- a/data/hfopenllm_v2/prithivMLmods/Sombrero-Opus-14B-Sm4/79a8057c-0791-42d6-adef-924a9cff0917.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/prithivMLmods_Sombrero-Opus-14B-Sm4/1762652580.476516",
-  "retrieved_timestamp": "1762652580.4765172",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "prithivMLmods/Sombrero-Opus-14B-Sm4",
-    "developer": "prithivMLmods",
-    "inference_platform": "unknown",
-    "id": "prithivMLmods/Sombrero-Opus-14B-Sm4",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 14.77
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4346932804957513
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6612776404137711
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4879154078549849
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3951342281879195
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5191666666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5300033244680851
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/prithivMLmods/Sombrero-Opus-14B-Sm4/7ea26e73-a501-40bf-8f01-81ab8e850a91.json b/data/hfopenllm_v2/prithivMLmods/Sombrero-Opus-14B-Sm4/7ea26e73-a501-40bf-8f01-81ab8e850a91.json
new file mode 100644
index 000000000..9a2d75354
--- /dev/null
+++ b/data/hfopenllm_v2/prithivMLmods/Sombrero-Opus-14B-Sm4/7ea26e73-a501-40bf-8f01-81ab8e850a91.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/prithivMLmods_Sombrero-Opus-14B-Sm4/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Sombrero-Opus-14B-Sm4",
+    "id": "prithivMLmods/Sombrero-Opus-14B-Sm4",
+    "developer": "prithivMLmods",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.77
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4347
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6613
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4879
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3951
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5192
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.53
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/prithivMLmods/Sombrero-Opus-14B-Sm5/41acaa59-3232-4c6c-be64-0acb38019405.json b/data/hfopenllm_v2/prithivMLmods/Sombrero-Opus-14B-Sm5/41acaa59-3232-4c6c-be64-0acb38019405.json
deleted file mode 100644
index 530365faa..000000000
--- a/data/hfopenllm_v2/prithivMLmods/Sombrero-Opus-14B-Sm5/41acaa59-3232-4c6c-be64-0acb38019405.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/prithivMLmods_Sombrero-Opus-14B-Sm5/1762652580.476726",
-  "retrieved_timestamp": "1762652580.476726",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "prithivMLmods/Sombrero-Opus-14B-Sm5",
-    "developer": "prithivMLmods",
-    "inference_platform": "unknown",
-    "id": "prithivMLmods/Sombrero-Opus-14B-Sm5",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 14.766
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6851609285584471
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6563944936055776
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4093655589123867
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.38674496644295303
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.480625
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5399767287234043
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/prithivMLmods/Sombrero-Opus-14B-Sm5/e3343130-cf4f-4e5c-b2d3-5dda13d575b9.json b/data/hfopenllm_v2/prithivMLmods/Sombrero-Opus-14B-Sm5/e3343130-cf4f-4e5c-b2d3-5dda13d575b9.json
new file mode 100644
index 000000000..2d767adc0
--- /dev/null
+++ b/data/hfopenllm_v2/prithivMLmods/Sombrero-Opus-14B-Sm5/e3343130-cf4f-4e5c-b2d3-5dda13d575b9.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/prithivMLmods_Sombrero-Opus-14B-Sm5/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Sombrero-Opus-14B-Sm5",
+    "id": "prithivMLmods/Sombrero-Opus-14B-Sm5",
+    "developer": "prithivMLmods",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.766
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6852
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6564
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4094
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3867
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4806
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.54
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/prithivMLmods/Sqweeks-7B-Instruct/ba1965f8-b59f-4d71-920c-e3b401ca0534.json b/data/hfopenllm_v2/prithivMLmods/Sqweeks-7B-Instruct/ba1965f8-b59f-4d71-920c-e3b401ca0534.json
new file mode 100644
index 000000000..55de0790e
--- /dev/null
+++ b/data/hfopenllm_v2/prithivMLmods/Sqweeks-7B-Instruct/ba1965f8-b59f-4d71-920c-e3b401ca0534.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/prithivMLmods_Sqweeks-7B-Instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Sqweeks-7B-Instruct",
+    "id": "prithivMLmods/Sqweeks-7B-Instruct",
+    "developer": "prithivMLmods",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2158
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4667
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5144
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.307
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4476
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3133
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/prithivMLmods/Sqweeks-7B-Instruct/e0eaf433-d842-47c2-b47f-9e0ddd95df72.json b/data/hfopenllm_v2/prithivMLmods/Sqweeks-7B-Instruct/e0eaf433-d842-47c2-b47f-9e0ddd95df72.json
deleted file mode 100644
index 2deecdfcd..000000000
--- a/data/hfopenllm_v2/prithivMLmods/Sqweeks-7B-Instruct/e0eaf433-d842-47c2-b47f-9e0ddd95df72.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/prithivMLmods_Sqweeks-7B-Instruct/1762652580.476933",
-  "retrieved_timestamp": "1762652580.476934",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "prithivMLmods/Sqweeks-7B-Instruct",
-    "developer": "prithivMLmods",
-    "inference_platform": "unknown",
-    "id": "prithivMLmods/Sqweeks-7B-Instruct",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.616
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.21579852568961466
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4666692459456812
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5143504531722054
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3070469798657718
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.44760416666666664
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3133311170212766
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/prithivMLmods/Tadpole-Opus-14B-Exp/0faf87d0-2b35-4256-acd9-4fe57f574d06.json b/data/hfopenllm_v2/prithivMLmods/Tadpole-Opus-14B-Exp/0faf87d0-2b35-4256-acd9-4fe57f574d06.json
deleted file mode 100644
index fa87168f2..000000000
--- a/data/hfopenllm_v2/prithivMLmods/Tadpole-Opus-14B-Exp/0faf87d0-2b35-4256-acd9-4fe57f574d06.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/prithivMLmods_Tadpole-Opus-14B-Exp/1762652580.477141",
-  "retrieved_timestamp": "1762652580.477142",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "prithivMLmods/Tadpole-Opus-14B-Exp",
-    "developer": "prithivMLmods",
-    "inference_platform": "unknown",
-    "id": "prithivMLmods/Tadpole-Opus-14B-Exp",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 14.766
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5749522378400422
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.636858708544215
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.31344410876132933
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3859060402684564
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.47284375
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5322473404255319
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/prithivMLmods/Tadpole-Opus-14B-Exp/6dc87410-a39e-41b1-8759-68c1556c8419.json b/data/hfopenllm_v2/prithivMLmods/Tadpole-Opus-14B-Exp/6dc87410-a39e-41b1-8759-68c1556c8419.json
new file mode 100644
index 000000000..dc0362947
--- /dev/null
+++ b/data/hfopenllm_v2/prithivMLmods/Tadpole-Opus-14B-Exp/6dc87410-a39e-41b1-8759-68c1556c8419.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/prithivMLmods_Tadpole-Opus-14B-Exp/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Tadpole-Opus-14B-Exp",
+    "id": "prithivMLmods/Tadpole-Opus-14B-Exp",
+    "developer": "prithivMLmods",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.766
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.575
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6369
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3134
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3859
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4728
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5322
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/prithivMLmods/Taurus-Opus-7B/01448351-5f76-4329-9bfd-4124e29de920.json b/data/hfopenllm_v2/prithivMLmods/Taurus-Opus-7B/01448351-5f76-4329-9bfd-4124e29de920.json
deleted file mode 100644
index e17756f86..000000000
--- a/data/hfopenllm_v2/prithivMLmods/Taurus-Opus-7B/01448351-5f76-4329-9bfd-4124e29de920.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/prithivMLmods_Taurus-Opus-7B/1762652580.477352",
-  "retrieved_timestamp": "1762652580.4773529",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "prithivMLmods/Taurus-Opus-7B",
-    "developer": "prithivMLmods",
-    "inference_platform": "unknown",
-    "id": "prithivMLmods/Taurus-Opus-7B",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 7.456
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42232831110342783
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5367364587851736
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.21676737160120846
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3263422818791946
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.43988541666666664
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3951130319148936
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/prithivMLmods/Taurus-Opus-7B/c4ebe788-fb60-453b-914b-56bf87dd6374.json b/data/hfopenllm_v2/prithivMLmods/Taurus-Opus-7B/c4ebe788-fb60-453b-914b-56bf87dd6374.json
new file mode 100644
index 000000000..02432070f
--- /dev/null
+++ b/data/hfopenllm_v2/prithivMLmods/Taurus-Opus-7B/c4ebe788-fb60-453b-914b-56bf87dd6374.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/prithivMLmods_Taurus-Opus-7B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Taurus-Opus-7B",
+    "id": "prithivMLmods/Taurus-Opus-7B",
+    "developer": "prithivMLmods",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 7.456
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4223
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5367
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2168
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3263
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4399
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3951
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/prithivMLmods/Triangulum-10B/45a44cc8-a550-4d2f-b0f4-37b4aac6a2b5.json b/data/hfopenllm_v2/prithivMLmods/Triangulum-10B/45a44cc8-a550-4d2f-b0f4-37b4aac6a2b5.json
new file mode 100644
index 000000000..880fb2e12
--- /dev/null
+++ b/data/hfopenllm_v2/prithivMLmods/Triangulum-10B/45a44cc8-a550-4d2f-b0f4-37b4aac6a2b5.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/prithivMLmods_Triangulum-10B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Triangulum-10B",
+    "id": "prithivMLmods/Triangulum-10B",
+    "developer": "prithivMLmods",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 10.306
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3229
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5968
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.355
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.354
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4172
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4178
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/prithivMLmods/Triangulum-10B/ee5ad026-8df4-41c0-9158-3759d4a3ef02.json b/data/hfopenllm_v2/prithivMLmods/Triangulum-10B/ee5ad026-8df4-41c0-9158-3759d4a3ef02.json
deleted file mode 100644
index efc85ec7e..000000000
--- a/data/hfopenllm_v2/prithivMLmods/Triangulum-10B/ee5ad026-8df4-41c0-9158-3759d4a3ef02.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/prithivMLmods_Triangulum-10B/1762652580.477568",
-  "retrieved_timestamp": "1762652580.477569",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "prithivMLmods/Triangulum-10B",
-    "developer": "prithivMLmods",
-    "inference_platform": "unknown",
-    "id": "prithivMLmods/Triangulum-10B",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 10.306
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3229353670483207
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5968023910391113
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3549848942598187
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3540268456375839
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41724999999999995
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4178025265957447
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/prithivMLmods/Triangulum-5B/10593c13-3b30-4605-8063-c6a6526fc9d9.json b/data/hfopenllm_v2/prithivMLmods/Triangulum-5B/10593c13-3b30-4605-8063-c6a6526fc9d9.json
new file mode 100644
index 000000000..6aff0ab5e
--- /dev/null
+++ b/data/hfopenllm_v2/prithivMLmods/Triangulum-5B/10593c13-3b30-4605-8063-c6a6526fc9d9.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/prithivMLmods_Triangulum-5B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Triangulum-5B",
+    "id": "prithivMLmods/Triangulum-5B",
+    "developer": "prithivMLmods",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 5.413
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1283
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3124
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0106
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.255
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3445
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1223
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/prithivMLmods/Triangulum-5B/7d8850c3-61b2-41c3-a01b-8e23511558f6.json b/data/hfopenllm_v2/prithivMLmods/Triangulum-5B/7d8850c3-61b2-41c3-a01b-8e23511558f6.json
deleted file mode 100644
index 662070786..000000000
--- a/data/hfopenllm_v2/prithivMLmods/Triangulum-5B/7d8850c3-61b2-41c3-a01b-8e23511558f6.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/prithivMLmods_Triangulum-5B/1762652580.477782",
-  "retrieved_timestamp": "1762652580.477782",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "prithivMLmods/Triangulum-5B",
-    "developer": "prithivMLmods",
-    "inference_platform": "unknown",
-    "id": "prithivMLmods/Triangulum-5B",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 5.413
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1283206336963701
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3124115848614622
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.010574018126888218
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2550335570469799
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3445416666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.12234042553191489
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/prithivMLmods/Triangulum-v2-10B/00f8547d-4bb9-4510-a29c-c37376c274c8.json b/data/hfopenllm_v2/prithivMLmods/Triangulum-v2-10B/00f8547d-4bb9-4510-a29c-c37376c274c8.json
deleted file mode 100644
index 8e48d35ea..000000000
--- a/data/hfopenllm_v2/prithivMLmods/Triangulum-v2-10B/00f8547d-4bb9-4510-a29c-c37376c274c8.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/prithivMLmods_Triangulum-v2-10B/1762652580.478046",
-  "retrieved_timestamp": "1762652580.478047",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "prithivMLmods/Triangulum-v2-10B",
-    "developer": "prithivMLmods",
-    "inference_platform": "unknown",
-    "id": "prithivMLmods/Triangulum-v2-10B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 10.306
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6705231009277606
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6064531367418446
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.24471299093655588
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
-        "score": 0.337248322147651
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42807291666666664
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.44664228723404253
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/prithivMLmods/Triangulum-v2-10B/12b8f4d7-2ae8-492c-8756-f7cb21a58c76.json b/data/hfopenllm_v2/prithivMLmods/Triangulum-v2-10B/12b8f4d7-2ae8-492c-8756-f7cb21a58c76.json
new file mode 100644
index 000000000..dc5fbfdfd
--- /dev/null
+++ b/data/hfopenllm_v2/prithivMLmods/Triangulum-v2-10B/12b8f4d7-2ae8-492c-8756-f7cb21a58c76.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/prithivMLmods_Triangulum-v2-10B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Triangulum-v2-10B",
+    "id": "prithivMLmods/Triangulum-v2-10B",
+    "developer": "prithivMLmods",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 10.306
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6705
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6065
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2447
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3372
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4281
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4466
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/prithivMLmods/Tucana-Opus-14B-r999/96d9b675-c299-4138-a381-fb4de36287e5.json b/data/hfopenllm_v2/prithivMLmods/Tucana-Opus-14B-r999/96d9b675-c299-4138-a381-fb4de36287e5.json
new file mode 100644
index 000000000..044957de8
--- /dev/null
+++ b/data/hfopenllm_v2/prithivMLmods/Tucana-Opus-14B-r999/96d9b675-c299-4138-a381-fb4de36287e5.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/prithivMLmods_Tucana-Opus-14B-r999/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Tucana-Opus-14B-r999",
+    "id": "prithivMLmods/Tucana-Opus-14B-r999",
+    "developer": "prithivMLmods",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.77
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6067
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6557
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4063
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3918
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.473
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5384
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/prithivMLmods/Tucana-Opus-14B-r999/f24694aa-cfe7-4a58-9f9e-f02c3e51d198.json b/data/hfopenllm_v2/prithivMLmods/Tucana-Opus-14B-r999/f24694aa-cfe7-4a58-9f9e-f02c3e51d198.json
deleted file mode 100644
index 89198d7e4..000000000
--- a/data/hfopenllm_v2/prithivMLmods/Tucana-Opus-14B-r999/f24694aa-cfe7-4a58-9f9e-f02c3e51d198.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/prithivMLmods_Tucana-Opus-14B-r999/1762652580.47826",
-  "retrieved_timestamp": "1762652580.478261",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "prithivMLmods/Tucana-Opus-14B-r999",
-    "developer": "prithivMLmods",
-    "inference_platform": "unknown",
-    "id": "prithivMLmods/Tucana-Opus-14B-r999",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 14.77
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.606725710005009
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6556888858891955
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.40634441087613293
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.39177852348993286
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.47303125
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5383976063829787
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/prithivMLmods/Tulu-MathLingo-8B/17fffa9b-8ed4-44c7-87ea-7ee2c1f28e6a.json b/data/hfopenllm_v2/prithivMLmods/Tulu-MathLingo-8B/17fffa9b-8ed4-44c7-87ea-7ee2c1f28e6a.json
new file mode 100644
index 000000000..075ca9a4b
--- /dev/null
+++ b/data/hfopenllm_v2/prithivMLmods/Tulu-MathLingo-8B/17fffa9b-8ed4-44c7-87ea-7ee2c1f28e6a.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/prithivMLmods_Tulu-MathLingo-8B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Tulu-MathLingo-8B",
+    "id": "prithivMLmods/Tulu-MathLingo-8B",
+    "developer": "prithivMLmods",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5589
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4659
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.145
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2903
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3864
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3044
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/prithivMLmods/Tulu-MathLingo-8B/fa0776bd-e95e-4d54-9004-82dff09307b8.json b/data/hfopenllm_v2/prithivMLmods/Tulu-MathLingo-8B/fa0776bd-e95e-4d54-9004-82dff09307b8.json
deleted file mode 100644
index ac85a4c4a..000000000
--- a/data/hfopenllm_v2/prithivMLmods/Tulu-MathLingo-8B/fa0776bd-e95e-4d54-9004-82dff09307b8.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/prithivMLmods_Tulu-MathLingo-8B/1762652580.478472",
-  "retrieved_timestamp": "1762652580.478473",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "prithivMLmods/Tulu-MathLingo-8B",
-    "developer": "prithivMLmods",
-    "inference_platform": "unknown",
-    "id": "prithivMLmods/Tulu-MathLingo-8B",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5589402784611497
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4658807905856453
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.14501510574018128
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2902684563758389
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.38642708333333337
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.304438164893617
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/prithivMLmods/Viper-Coder-7B-Elite14/06bc6426-310b-40ac-bbeb-0460215b8981.json b/data/hfopenllm_v2/prithivMLmods/Viper-Coder-7B-Elite14/06bc6426-310b-40ac-bbeb-0460215b8981.json
deleted file mode 100644
index 1e728f156..000000000
--- a/data/hfopenllm_v2/prithivMLmods/Viper-Coder-7B-Elite14/06bc6426-310b-40ac-bbeb-0460215b8981.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/prithivMLmods_Viper-Coder-7B-Elite14/1762652580.4786801",
-  "retrieved_timestamp": "1762652580.478681",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "prithivMLmods/Viper-Coder-7B-Elite14",
-    "developer": "prithivMLmods",
-    "inference_platform": "unknown",
-    "id": "prithivMLmods/Viper-Coder-7B-Elite14",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.616
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.14882844186757802
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.28285388717732607
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.010574018126888218
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2550335570469799
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.34215625
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.10887632978723404
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/prithivMLmods/Viper-Coder-7B-Elite14/8999a5f3-f421-4663-835e-7626cebd2282.json b/data/hfopenllm_v2/prithivMLmods/Viper-Coder-7B-Elite14/8999a5f3-f421-4663-835e-7626cebd2282.json
new file mode 100644
index 000000000..df24efe05
--- /dev/null
+++ b/data/hfopenllm_v2/prithivMLmods/Viper-Coder-7B-Elite14/8999a5f3-f421-4663-835e-7626cebd2282.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/prithivMLmods_Viper-Coder-7B-Elite14/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Viper-Coder-7B-Elite14",
+    "id": "prithivMLmods/Viper-Coder-7B-Elite14",
+    "developer": "prithivMLmods",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1488
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2829
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0106
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.255
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3422
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1089
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/prithivMLmods/Viper-Coder-Hybrid-v1.2/1f235238-05e0-4c76-b136-0bf0cf470ba2.json b/data/hfopenllm_v2/prithivMLmods/Viper-Coder-Hybrid-v1.2/1f235238-05e0-4c76-b136-0bf0cf470ba2.json
deleted file mode 100644
index 741d07a0d..000000000
--- a/data/hfopenllm_v2/prithivMLmods/Viper-Coder-Hybrid-v1.2/1f235238-05e0-4c76-b136-0bf0cf470ba2.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/prithivMLmods_Viper-Coder-Hybrid-v1.2/1762652580.4788852",
-  "retrieved_timestamp": "1762652580.478886",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "prithivMLmods/Viper-Coder-Hybrid-v1.2",
-    "developer": "prithivMLmods",
-    "inference_platform": "unknown",
-    "id": "prithivMLmods/Viper-Coder-Hybrid-v1.2",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 14.766
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6735705705306365
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6390749226915919
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3330815709969788
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37416107382550334
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.48217708333333337
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5242686170212766
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/prithivMLmods/Viper-Coder-Hybrid-v1.2/951e1a4f-ed6c-49ca-b648-6086989e333f.json b/data/hfopenllm_v2/prithivMLmods/Viper-Coder-Hybrid-v1.2/951e1a4f-ed6c-49ca-b648-6086989e333f.json
new file mode 100644
index 000000000..82f43e5e6
--- /dev/null
+++ b/data/hfopenllm_v2/prithivMLmods/Viper-Coder-Hybrid-v1.2/951e1a4f-ed6c-49ca-b648-6086989e333f.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/prithivMLmods_Viper-Coder-Hybrid-v1.2/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Viper-Coder-Hybrid-v1.2",
+    "id": "prithivMLmods/Viper-Coder-Hybrid-v1.2",
+    "developer": "prithivMLmods",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.766
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6736
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6391
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3331
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3742
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4822
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5243
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/prithivMLmods/Viper-Coder-Hybrid-v1.3/17167e2a-1f42-4ea9-a947-8749259738a8.json b/data/hfopenllm_v2/prithivMLmods/Viper-Coder-Hybrid-v1.3/17167e2a-1f42-4ea9-a947-8749259738a8.json
deleted file mode 100644
index e59283d49..000000000
--- a/data/hfopenllm_v2/prithivMLmods/Viper-Coder-Hybrid-v1.3/17167e2a-1f42-4ea9-a947-8749259738a8.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/prithivMLmods_Viper-Coder-Hybrid-v1.3/1762652580.4790971",
-  "retrieved_timestamp": "1762652580.479098",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "prithivMLmods/Viper-Coder-Hybrid-v1.3",
-    "developer": "prithivMLmods",
-    "inference_platform": "unknown",
-    "id": "prithivMLmods/Viper-Coder-Hybrid-v1.3",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 14.766
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7554776880898239
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6470999423290662
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4516616314199396
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.33808724832214765
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4403229166666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5097240691489362
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/prithivMLmods/Viper-Coder-Hybrid-v1.3/2acc0666-e0ff-4760-a74a-227a02775344.json b/data/hfopenllm_v2/prithivMLmods/Viper-Coder-Hybrid-v1.3/2acc0666-e0ff-4760-a74a-227a02775344.json
new file mode 100644
index 000000000..0c7fa3197
--- /dev/null
+++ b/data/hfopenllm_v2/prithivMLmods/Viper-Coder-Hybrid-v1.3/2acc0666-e0ff-4760-a74a-227a02775344.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/prithivMLmods_Viper-Coder-Hybrid-v1.3/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Viper-Coder-Hybrid-v1.3",
+    "id": "prithivMLmods/Viper-Coder-Hybrid-v1.3",
+    "developer": "prithivMLmods",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.766
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7555
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6471
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4517
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3381
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4403
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5097
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/prithivMLmods/Viper-Coder-HybridMini-v1.3/1ca04810-a377-4390-944a-1a4ec91a7962.json b/data/hfopenllm_v2/prithivMLmods/Viper-Coder-HybridMini-v1.3/1ca04810-a377-4390-944a-1a4ec91a7962.json
deleted file mode 100644
index da7db9acb..000000000
--- a/data/hfopenllm_v2/prithivMLmods/Viper-Coder-HybridMini-v1.3/1ca04810-a377-4390-944a-1a4ec91a7962.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/prithivMLmods_Viper-Coder-HybridMini-v1.3/1762652580.4793081",
-  "retrieved_timestamp": "1762652580.479309",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "prithivMLmods/Viper-Coder-HybridMini-v1.3",
-    "developer": "prithivMLmods",
-    "inference_platform": "unknown",
-    "id": "prithivMLmods/Viper-Coder-HybridMini-v1.3",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.616
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.610372699991578
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5365472959273401
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.46299093655589124
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.31711409395973156
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.45048958333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4351728723404255
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/prithivMLmods/Viper-Coder-HybridMini-v1.3/3196c71d-0e0a-4d29-8bca-c31ba3d99dfd.json b/data/hfopenllm_v2/prithivMLmods/Viper-Coder-HybridMini-v1.3/3196c71d-0e0a-4d29-8bca-c31ba3d99dfd.json
new file mode 100644
index 000000000..37eb769a1
--- /dev/null
+++ b/data/hfopenllm_v2/prithivMLmods/Viper-Coder-HybridMini-v1.3/3196c71d-0e0a-4d29-8bca-c31ba3d99dfd.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/prithivMLmods_Viper-Coder-HybridMini-v1.3/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Viper-Coder-HybridMini-v1.3",
+    "id": "prithivMLmods/Viper-Coder-HybridMini-v1.3",
+    "developer": "prithivMLmods",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6104
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5365
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.463
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3171
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4505
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4352
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/prithivMLmods/Viper-Coder-v0.1/4d801ab4-0c2d-445a-beb6-4de824618e75.json b/data/hfopenllm_v2/prithivMLmods/Viper-Coder-v0.1/4d801ab4-0c2d-445a-beb6-4de824618e75.json
deleted file mode 100644
index 40ab918ab..000000000
--- a/data/hfopenllm_v2/prithivMLmods/Viper-Coder-v0.1/4d801ab4-0c2d-445a-beb6-4de824618e75.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/prithivMLmods_Viper-Coder-v0.1/1762652580.479637",
-  "retrieved_timestamp": "1762652580.479639",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "prithivMLmods/Viper-Coder-v0.1",
-    "developer": "prithivMLmods",
-    "inference_platform": "unknown",
-    "id": "prithivMLmods/Viper-Coder-v0.1",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 14.766
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5521460835028835
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6143056870893655
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3270392749244713
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3540268456375839
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.43944791666666666
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3927859042553192
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/prithivMLmods/Viper-Coder-v0.1/e858aa6c-c424-447e-b512-7dcf794f9f0f.json b/data/hfopenllm_v2/prithivMLmods/Viper-Coder-v0.1/e858aa6c-c424-447e-b512-7dcf794f9f0f.json
new file mode 100644
index 000000000..f8a0e8b52
--- /dev/null
+++ b/data/hfopenllm_v2/prithivMLmods/Viper-Coder-v0.1/e858aa6c-c424-447e-b512-7dcf794f9f0f.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/prithivMLmods_Viper-Coder-v0.1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Viper-Coder-v0.1",
+    "id": "prithivMLmods/Viper-Coder-v0.1",
+    "developer": "prithivMLmods",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.766
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5521
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6143
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.327
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.354
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4394
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3928
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/prithivMLmods/Viper-Coder-v1.1/8773eac5-205e-4264-981b-58f1a25f872a.json b/data/hfopenllm_v2/prithivMLmods/Viper-Coder-v1.1/8773eac5-205e-4264-981b-58f1a25f872a.json
new file mode 100644
index 000000000..781f52345
--- /dev/null
+++ b/data/hfopenllm_v2/prithivMLmods/Viper-Coder-v1.1/8773eac5-205e-4264-981b-58f1a25f872a.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/prithivMLmods_Viper-Coder-v1.1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Viper-Coder-v1.1",
+    "id": "prithivMLmods/Viper-Coder-v1.1",
+    "developer": "prithivMLmods",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.77
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4432
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6492
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5461
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.401
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5219
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5232
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/prithivMLmods/Viper-Coder-v1.1/cc8e5b55-5b48-40c3-9e30-3c1740bc7da2.json b/data/hfopenllm_v2/prithivMLmods/Viper-Coder-v1.1/cc8e5b55-5b48-40c3-9e30-3c1740bc7da2.json
deleted file mode 100644
index 27563dc4b..000000000
--- a/data/hfopenllm_v2/prithivMLmods/Viper-Coder-v1.1/cc8e5b55-5b48-40c3-9e30-3c1740bc7da2.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/prithivMLmods_Viper-Coder-v1.1/1762652580.479969",
-  "retrieved_timestamp": "1762652580.47997",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "prithivMLmods/Viper-Coder-v1.1",
-    "developer": "prithivMLmods",
-    "inference_platform": "unknown",
-    "id": "prithivMLmods/Viper-Coder-v1.1",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 14.77
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.443236168920686
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6492289468853992
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5460725075528701
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.401006711409396
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5219270833333334
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.523188164893617
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/prithivMLmods/Viper-Coder-v1.6-r999/c26ae286-a9b8-499f-b886-4b75be0cf2da.json b/data/hfopenllm_v2/prithivMLmods/Viper-Coder-v1.6-r999/c26ae286-a9b8-499f-b886-4b75be0cf2da.json
new file mode 100644
index 000000000..852cfb91f
--- /dev/null
+++ b/data/hfopenllm_v2/prithivMLmods/Viper-Coder-v1.6-r999/c26ae286-a9b8-499f-b886-4b75be0cf2da.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/prithivMLmods_Viper-Coder-v1.6-r999/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Viper-Coder-v1.6-r999",
+    "id": "prithivMLmods/Viper-Coder-v1.6-r999",
+    "developer": "prithivMLmods",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.77
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4433
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6492
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5657
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.401
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5219
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5232
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/prithivMLmods/Viper-Coder-v1.6-r999/ff5bb366-3692-441c-8e8f-8c23c5143aae.json b/data/hfopenllm_v2/prithivMLmods/Viper-Coder-v1.6-r999/ff5bb366-3692-441c-8e8f-8c23c5143aae.json
deleted file mode 100644
index 511149cc1..000000000
--- a/data/hfopenllm_v2/prithivMLmods/Viper-Coder-v1.6-r999/ff5bb366-3692-441c-8e8f-8c23c5143aae.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/prithivMLmods_Viper-Coder-v1.6-r999/1762652580.480214",
-  "retrieved_timestamp": "1762652580.480215",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "prithivMLmods/Viper-Coder-v1.6-r999",
-    "developer": "prithivMLmods",
-    "inference_platform": "unknown",
-    "id": "prithivMLmods/Viper-Coder-v1.6-r999",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 14.77
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4432860366050967
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6492289468853992
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5657099697885196
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.401006711409396
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5219270833333334
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.523188164893617
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/prithivMLmods/Viper-Coder-v1.7-Vsm6/14b789c6-8b7f-4292-8ced-279e7ee856a5.json b/data/hfopenllm_v2/prithivMLmods/Viper-Coder-v1.7-Vsm6/14b789c6-8b7f-4292-8ced-279e7ee856a5.json
deleted file mode 100644
index b9c9e05ea..000000000
--- a/data/hfopenllm_v2/prithivMLmods/Viper-Coder-v1.7-Vsm6/14b789c6-8b7f-4292-8ced-279e7ee856a5.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/prithivMLmods_Viper-Coder-v1.7-Vsm6/1762652580.480439",
-  "retrieved_timestamp": "1762652580.4804401",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "prithivMLmods/Viper-Coder-v1.7-Vsm6",
-    "developer": "prithivMLmods",
-    "inference_platform": "unknown",
-    "id": "prithivMLmods/Viper-Coder-v1.7-Vsm6",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 14.766
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5003889679384035
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6502342489348574
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4645015105740181
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.39681208053691275
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.47675
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5287566489361702
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/prithivMLmods/Viper-Coder-v1.7-Vsm6/d3a61998-2d41-4349-bd15-ce29143cc910.json b/data/hfopenllm_v2/prithivMLmods/Viper-Coder-v1.7-Vsm6/d3a61998-2d41-4349-bd15-ce29143cc910.json
new file mode 100644
index 000000000..0353bf927
--- /dev/null
+++ b/data/hfopenllm_v2/prithivMLmods/Viper-Coder-v1.7-Vsm6/d3a61998-2d41-4349-bd15-ce29143cc910.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/prithivMLmods_Viper-Coder-v1.7-Vsm6/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Viper-Coder-v1.7-Vsm6",
+    "id": "prithivMLmods/Viper-Coder-v1.7-Vsm6",
+    "developer": "prithivMLmods",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.766
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5004
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6502
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4645
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3968
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4768
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5288
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/prithivMLmods/Viper-OneCoder-UIGEN/56b66428-2751-4c62-b98c-6c60e58c45ca.json b/data/hfopenllm_v2/prithivMLmods/Viper-OneCoder-UIGEN/56b66428-2751-4c62-b98c-6c60e58c45ca.json
new file mode 100644
index 000000000..022eaef25
--- /dev/null
+++ b/data/hfopenllm_v2/prithivMLmods/Viper-OneCoder-UIGEN/56b66428-2751-4c62-b98c-6c60e58c45ca.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/prithivMLmods_Viper-OneCoder-UIGEN/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Viper-OneCoder-UIGEN",
+    "id": "prithivMLmods/Viper-OneCoder-UIGEN",
+    "developer": "prithivMLmods",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.77
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4692
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6047
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3867
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3423
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4514
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3904
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/prithivMLmods/Viper-OneCoder-UIGEN/5d22f1b7-c062-4c46-8da1-4c895fcf8b9c.json b/data/hfopenllm_v2/prithivMLmods/Viper-OneCoder-UIGEN/5d22f1b7-c062-4c46-8da1-4c895fcf8b9c.json
deleted file mode 100644
index f4115e916..000000000
--- a/data/hfopenllm_v2/prithivMLmods/Viper-OneCoder-UIGEN/5d22f1b7-c062-4c46-8da1-4c895fcf8b9c.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/prithivMLmods_Viper-OneCoder-UIGEN/1762652580.480654",
-  "retrieved_timestamp": "1762652580.480654",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "prithivMLmods/Viper-OneCoder-UIGEN",
-    "developer": "prithivMLmods",
-    "inference_platform": "unknown",
-    "id": "prithivMLmods/Viper-OneCoder-UIGEN",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 14.77
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4691895282295421
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6046507657311738
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3867069486404834
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3422818791946309
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.45141666666666663
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.390375664893617
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/prithivMLmods/Volans-Opus-14B-Exp/735058a7-c22e-42a7-94f5-d7e2459848b3.json b/data/hfopenllm_v2/prithivMLmods/Volans-Opus-14B-Exp/735058a7-c22e-42a7-94f5-d7e2459848b3.json
deleted file mode 100644
index 7f4cab570..000000000
--- a/data/hfopenllm_v2/prithivMLmods/Volans-Opus-14B-Exp/735058a7-c22e-42a7-94f5-d7e2459848b3.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/prithivMLmods_Volans-Opus-14B-Exp/1762652580.480862",
-  "retrieved_timestamp": "1762652580.480863",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "prithivMLmods/Volans-Opus-14B-Exp",
-    "developer": "prithivMLmods",
-    "inference_platform": "unknown",
-    "id": "prithivMLmods/Volans-Opus-14B-Exp",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 14.766
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5867675545330834
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6521211711040636
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.425226586102719
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3850671140939597
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4871979166666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5384807180851063
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/prithivMLmods/Volans-Opus-14B-Exp/9b2ec4af-4a7c-4cf7-8b7d-79b6cc219880.json b/data/hfopenllm_v2/prithivMLmods/Volans-Opus-14B-Exp/9b2ec4af-4a7c-4cf7-8b7d-79b6cc219880.json
new file mode 100644
index 000000000..ee55e09c5
--- /dev/null
+++ b/data/hfopenllm_v2/prithivMLmods/Volans-Opus-14B-Exp/9b2ec4af-4a7c-4cf7-8b7d-79b6cc219880.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/prithivMLmods_Volans-Opus-14B-Exp/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Volans-Opus-14B-Exp",
+    "id": "prithivMLmods/Volans-Opus-14B-Exp",
+    "developer": "prithivMLmods",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.766
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5868
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6521
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4252
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3851
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4872
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5385
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/prithivMLmods/WebMind-7B-v0.1/00637ba6-99e5-4940-94ab-a620ff248ca1.json b/data/hfopenllm_v2/prithivMLmods/WebMind-7B-v0.1/00637ba6-99e5-4940-94ab-a620ff248ca1.json
deleted file mode 100644
index e54727a43..000000000
--- a/data/hfopenllm_v2/prithivMLmods/WebMind-7B-v0.1/00637ba6-99e5-4940-94ab-a620ff248ca1.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/prithivMLmods_WebMind-7B-v0.1/1762652580.481075",
-  "retrieved_timestamp": "1762652580.481076",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "prithivMLmods/WebMind-7B-v0.1",
-    "developer": "prithivMLmods",
-    "inference_platform": "unknown",
-    "id": "prithivMLmods/WebMind-7B-v0.1",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.616
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5278161943642867
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5433559211614739
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3648036253776435
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
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new file mode 100644
index 000000000..5e3113aff
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new file mode 100644
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diff --git a/data/hfopenllm_v2/pszemraj/Mistral-v0.3-6B/97db158a-3035-45d3-8d92-a08c9e605493.json b/data/hfopenllm_v2/pszemraj/Mistral-v0.3-6B/97db158a-3035-45d3-8d92-a08c9e605493.json
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diff --git a/data/hfopenllm_v2/qingy2019/LLaMa_3.2_3B_Catalysts/0d81b928-2a24-4eb4-93d5-224e3c505532.json b/data/hfopenllm_v2/qingy2019/LLaMa_3.2_3B_Catalysts/0d81b928-2a24-4eb4-93d5-224e3c505532.json
new file mode 100644
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/qingy2019/OpenMath2-Llama3.1-8B/bf4cc7ee-cad4-42af-8638-6b371577ec68.json b/data/hfopenllm_v2/qingy2019/OpenMath2-Llama3.1-8B/bf4cc7ee-cad4-42af-8638-6b371577ec68.json
new file mode 100644
index 000000000..8d52de0fa
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/qingy2019/Oracle-14B/5b574dda-0d85-47aa-9ebc-7f8581d402ca.json b/data/hfopenllm_v2/qingy2019/Oracle-14B/5b574dda-0d85-47aa-9ebc-7f8581d402ca.json
new file mode 100644
index 000000000..8c2258503
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/qingy2019/Oracle-14B/6043830f-8a9d-4a03-9de5-4805724a9ae8.json b/data/hfopenllm_v2/qingy2019/Oracle-14B/6043830f-8a9d-4a03-9de5-4805724a9ae8.json
new file mode 100644
index 000000000..3296a5d2c
--- /dev/null
+++ b/data/hfopenllm_v2/qingy2019/Oracle-14B/6043830f-8a9d-4a03-9de5-4805724a9ae8.json
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/qingy2019/Oracle-14B/90a36ffd-8eeb-44e8-9b7b-dbd56238d0a6.json b/data/hfopenllm_v2/qingy2019/Oracle-14B/90a36ffd-8eeb-44e8-9b7b-dbd56238d0a6.json
deleted file mode 100644
index 602e55ff1..000000000
--- a/data/hfopenllm_v2/qingy2019/Oracle-14B/90a36ffd-8eeb-44e8-9b7b-dbd56238d0a6.json
+++ /dev/null
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deleted file mode 100644
index 3f63e6995..000000000
--- a/data/hfopenllm_v2/qingy2019/Oracle-14B/fc5c5eff-8314-4cb2-8ba4-b562096cfe1f.json
+++ /dev/null
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diff --git a/data/hfopenllm_v2/qingy2019/Qwen2.5-Math-14B-Instruct-Alpha/7bc9676d-6186-4b2d-8b4b-4a3786f3ed40.json b/data/hfopenllm_v2/qingy2019/Qwen2.5-Math-14B-Instruct-Alpha/7bc9676d-6186-4b2d-8b4b-4a3786f3ed40.json
deleted file mode 100644
index f6939ce9a..000000000
--- a/data/hfopenllm_v2/qingy2019/Qwen2.5-Math-14B-Instruct-Alpha/7bc9676d-6186-4b2d-8b4b-4a3786f3ed40.json
+++ /dev/null
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-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4649375
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/qingy2019/Qwen2.5-Math-14B-Instruct-Alpha/9d5fdb25-0d6a-4d5c-bcfb-0903504e620a.json b/data/hfopenllm_v2/qingy2019/Qwen2.5-Math-14B-Instruct-Alpha/9d5fdb25-0d6a-4d5c-bcfb-0903504e620a.json
new file mode 100644
index 000000000..7da78d24a
--- /dev/null
+++ b/data/hfopenllm_v2/qingy2019/Qwen2.5-Math-14B-Instruct-Alpha/9d5fdb25-0d6a-4d5c-bcfb-0903504e620a.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/qingy2019_Qwen2.5-Math-14B-Instruct-Alpha/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-Math-14B-Instruct-Alpha",
+    "id": "qingy2019/Qwen2.5-Math-14B-Instruct-Alpha",
+    "developer": "qingy2019",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.0
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5981
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6375
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3142
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.37
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4649
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5331
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/qingy2019/Qwen2.5-Math-14B-Instruct-Pro/217819b0-2c4b-4c26-823b-1ea14f893e01.json b/data/hfopenllm_v2/qingy2019/Qwen2.5-Math-14B-Instruct-Pro/217819b0-2c4b-4c26-823b-1ea14f893e01.json
new file mode 100644
index 000000000..302221eda
--- /dev/null
+++ b/data/hfopenllm_v2/qingy2019/Qwen2.5-Math-14B-Instruct-Pro/217819b0-2c4b-4c26-823b-1ea14f893e01.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/qingy2019_Qwen2.5-Math-14B-Instruct-Pro/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-Math-14B-Instruct-Pro",
+    "id": "qingy2019/Qwen2.5-Math-14B-Instruct-Pro",
+    "developer": "qingy2019",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.766
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1922
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5319
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.284
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3112
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.374
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3558
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/qingy2019/Qwen2.5-Math-14B-Instruct-Pro/c1a0b34a-d3b5-42b9-b779-b31b9678faed.json b/data/hfopenllm_v2/qingy2019/Qwen2.5-Math-14B-Instruct-Pro/c1a0b34a-d3b5-42b9-b779-b31b9678faed.json
deleted file mode 100644
index 96ec60837..000000000
--- a/data/hfopenllm_v2/qingy2019/Qwen2.5-Math-14B-Instruct-Pro/c1a0b34a-d3b5-42b9-b779-b31b9678faed.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/qingy2019_Qwen2.5-Math-14B-Instruct-Pro/1762652580.483387",
-  "retrieved_timestamp": "1762652580.483388",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "qingy2019/Qwen2.5-Math-14B-Instruct-Pro",
-    "developer": "qingy2019",
-    "inference_platform": "unknown",
-    "id": "qingy2019/Qwen2.5-Math-14B-Instruct-Pro",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 14.766
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1921678923035324
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5318689754519911
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.283987915407855
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.311241610738255
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37403125
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.35580119680851063
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/qingy2019/Qwen2.5-Math-14B-Instruct/0f844855-fb46-4b53-82c2-f36e5721c385.json b/data/hfopenllm_v2/qingy2019/Qwen2.5-Math-14B-Instruct/0f844855-fb46-4b53-82c2-f36e5721c385.json
new file mode 100644
index 000000000..792719c86
--- /dev/null
+++ b/data/hfopenllm_v2/qingy2019/Qwen2.5-Math-14B-Instruct/0f844855-fb46-4b53-82c2-f36e5721c385.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/qingy2019_Qwen2.5-Math-14B-Instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-Math-14B-Instruct",
+    "id": "qingy2019/Qwen2.5-Math-14B-Instruct",
+    "developer": "qingy2019",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.0
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6005
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6356
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2764
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3691
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4757
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5339
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/qingy2019/Qwen2.5-Math-14B-Instruct/46d47e9a-6378-4eb5-a43d-f8e6a7c51674.json b/data/hfopenllm_v2/qingy2019/Qwen2.5-Math-14B-Instruct/46d47e9a-6378-4eb5-a43d-f8e6a7c51674.json
deleted file mode 100644
index 218973378..000000000
--- a/data/hfopenllm_v2/qingy2019/Qwen2.5-Math-14B-Instruct/46d47e9a-6378-4eb5-a43d-f8e6a7c51674.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/qingy2019_Qwen2.5-Math-14B-Instruct/1762652580.482764",
-  "retrieved_timestamp": "1762652580.482764",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "qingy2019/Qwen2.5-Math-14B-Instruct",
-    "developer": "qingy2019",
-    "inference_platform": "unknown",
-    "id": "qingy2019/Qwen2.5-Math-14B-Instruct",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 14.0
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6066259746361875
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6350068875885949
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3716012084592145
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3724832214765101
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4757291666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5330784574468085
-      }
-    }
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-}
diff --git a/data/hfopenllm_v2/qingy2019/Qwen2.5-Math-14B-Instruct/59aaa7ed-27d4-4765-b115-90570ad86c77.json b/data/hfopenllm_v2/qingy2019/Qwen2.5-Math-14B-Instruct/59aaa7ed-27d4-4765-b115-90570ad86c77.json
new file mode 100644
index 000000000..5ff1d5b79
--- /dev/null
+++ b/data/hfopenllm_v2/qingy2019/Qwen2.5-Math-14B-Instruct/59aaa7ed-27d4-4765-b115-90570ad86c77.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/qingy2019_Qwen2.5-Math-14B-Instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-Math-14B-Instruct",
+    "id": "qingy2019/Qwen2.5-Math-14B-Instruct",
+    "developer": "qingy2019",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.0
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6066
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.635
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3716
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3725
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4757
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5331
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/qingy2019/Qwen2.5-Math-14B-Instruct/5a2e7119-5fe6-4d3c-8706-01e22ef5b121.json b/data/hfopenllm_v2/qingy2019/Qwen2.5-Math-14B-Instruct/5a2e7119-5fe6-4d3c-8706-01e22ef5b121.json
deleted file mode 100644
index 09289c784..000000000
--- a/data/hfopenllm_v2/qingy2019/Qwen2.5-Math-14B-Instruct/5a2e7119-5fe6-4d3c-8706-01e22ef5b121.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/qingy2019_Qwen2.5-Math-14B-Instruct/1762652580.48299",
-  "retrieved_timestamp": "1762652580.4829912",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "qingy2019/Qwen2.5-Math-14B-Instruct",
-    "developer": "qingy2019",
-    "inference_platform": "unknown",
-    "id": "qingy2019/Qwen2.5-Math-14B-Instruct",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 14.0
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6005310354304356
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6356492397286339
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2764350453172205
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3691275167785235
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4756666666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5339095744680851
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/qingy2019/Qwen2.5-Ultimate-14B-Instruct/4478c5ff-3b51-4be2-abce-3fb6a951b6e7.json b/data/hfopenllm_v2/qingy2019/Qwen2.5-Ultimate-14B-Instruct/4478c5ff-3b51-4be2-abce-3fb6a951b6e7.json
new file mode 100644
index 000000000..12db4718f
--- /dev/null
+++ b/data/hfopenllm_v2/qingy2019/Qwen2.5-Ultimate-14B-Instruct/4478c5ff-3b51-4be2-abce-3fb6a951b6e7.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/qingy2019_Qwen2.5-Ultimate-14B-Instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-Ultimate-14B-Instruct",
+    "id": "qingy2019/Qwen2.5-Ultimate-14B-Instruct",
+    "developer": "qingy2019",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.766
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3938
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5842
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2893
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3565
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4135
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4929
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/qingy2019/Qwen2.5-Ultimate-14B-Instruct/655920b7-5687-4555-8890-ab1d08f3f00d.json b/data/hfopenllm_v2/qingy2019/Qwen2.5-Ultimate-14B-Instruct/655920b7-5687-4555-8890-ab1d08f3f00d.json
deleted file mode 100644
index a6073902b..000000000
--- a/data/hfopenllm_v2/qingy2019/Qwen2.5-Ultimate-14B-Instruct/655920b7-5687-4555-8890-ab1d08f3f00d.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/qingy2019_Qwen2.5-Ultimate-14B-Instruct/1762652580.483648",
-  "retrieved_timestamp": "1762652580.483649",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "qingy2019/Qwen2.5-Ultimate-14B-Instruct",
-    "developer": "qingy2019",
-    "inference_platform": "unknown",
-    "id": "qingy2019/Qwen2.5-Ultimate-14B-Instruct",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 14.766
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.39380177927897975
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5841561592804249
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2892749244712991
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3565436241610738
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4135
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4929355053191489
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/qingy2024/Benchmaxx-Llama-3.2-1B-Instruct/52ed2d5b-d9be-4f3f-b193-8d4cca4ded62.json b/data/hfopenllm_v2/qingy2024/Benchmaxx-Llama-3.2-1B-Instruct/52ed2d5b-d9be-4f3f-b193-8d4cca4ded62.json
deleted file mode 100644
index 140b7aa43..000000000
--- a/data/hfopenllm_v2/qingy2024/Benchmaxx-Llama-3.2-1B-Instruct/52ed2d5b-d9be-4f3f-b193-8d4cca4ded62.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/qingy2024_Benchmaxx-Llama-3.2-1B-Instruct/1762652580.483871",
-  "retrieved_timestamp": "1762652580.483871",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "qingy2024/Benchmaxx-Llama-3.2-1B-Instruct",
-    "developer": "qingy2024",
-    "inference_platform": "unknown",
-    "id": "qingy2024/Benchmaxx-Llama-3.2-1B-Instruct",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 1.236
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.20136016879657087
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-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.8269136508088061
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2835570469798658
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
-        "score": 0.3446354166666667
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11128656914893617
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-}
diff --git a/data/hfopenllm_v2/qingy2024/Benchmaxx-Llama-3.2-1B-Instruct/9202146d-5889-49fd-9025-e03153ba9093.json b/data/hfopenllm_v2/qingy2024/Benchmaxx-Llama-3.2-1B-Instruct/9202146d-5889-49fd-9025-e03153ba9093.json
new file mode 100644
index 000000000..e323ed5cd
--- /dev/null
+++ b/data/hfopenllm_v2/qingy2024/Benchmaxx-Llama-3.2-1B-Instruct/9202146d-5889-49fd-9025-e03153ba9093.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
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+  "source_metadata": {
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+    "source_type": "documentation",
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+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Benchmaxx-Llama-3.2-1B-Instruct",
+    "id": "qingy2024/Benchmaxx-Llama-3.2-1B-Instruct",
+    "developer": "qingy2024",
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+    "additional_details": {
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+    }
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+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
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+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.8269
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+      }
+    },
+    {
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+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3446
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "max_score": 1.0
+      },
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+        "score": 0.1113
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/qingy2024/Eyas-17B-Instruct/94257d3e-2b1e-47a1-bbd1-7fc696a574b3.json b/data/hfopenllm_v2/qingy2024/Eyas-17B-Instruct/94257d3e-2b1e-47a1-bbd1-7fc696a574b3.json
new file mode 100644
index 000000000..a3811ca19
--- /dev/null
+++ b/data/hfopenllm_v2/qingy2024/Eyas-17B-Instruct/94257d3e-2b1e-47a1-bbd1-7fc696a574b3.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/qingy2024_Eyas-17B-Instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Eyas-17B-Instruct",
+    "id": "qingy2024/Eyas-17B-Instruct",
+    "developer": "qingy2024",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 17.431
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6575
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6085
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3146
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4522
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4343
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/qingy2024/Eyas-17B-Instruct/c45cc504-88b0-4110-9650-47f4d328f769.json b/data/hfopenllm_v2/qingy2024/Eyas-17B-Instruct/c45cc504-88b0-4110-9650-47f4d328f769.json
deleted file mode 100644
index 7d2e044c1..000000000
--- a/data/hfopenllm_v2/qingy2024/Eyas-17B-Instruct/c45cc504-88b0-4110-9650-47f4d328f769.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/qingy2024_Eyas-17B-Instruct/1762652580.484141",
-  "retrieved_timestamp": "1762652580.484141",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "qingy2024/Eyas-17B-Instruct",
-    "developer": "qingy2024",
-    "inference_platform": "unknown",
-    "id": "qingy2024/Eyas-17B-Instruct",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 17.431
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6084550080292097
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.24697885196374622
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3145973154362416
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.45216666666666666
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.43425864361702127
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/qingy2024/Falcon3-2x10B-MoE-Instruct/2245cf71-fb8d-44ca-b58d-06608312ee8c.json b/data/hfopenllm_v2/qingy2024/Falcon3-2x10B-MoE-Instruct/2245cf71-fb8d-44ca-b58d-06608312ee8c.json
new file mode 100644
index 000000000..97d1ad31b
--- /dev/null
+++ b/data/hfopenllm_v2/qingy2024/Falcon3-2x10B-MoE-Instruct/2245cf71-fb8d-44ca-b58d-06608312ee8c.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/qingy2024_Falcon3-2x10B-MoE-Instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Falcon3-2x10B-MoE-Instruct",
+    "id": "qingy2024/Falcon3-2x10B-MoE-Instruct",
+    "developer": "qingy2024",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MixtralForCausalLM",
+      "params_billions": 18.799
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.785
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6185
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2795
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3305
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4284
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4423
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/qingy2024/Falcon3-2x10B-MoE-Instruct/302e9f42-b9fa-4e2b-acda-70c391f9b6bc.json b/data/hfopenllm_v2/qingy2024/Falcon3-2x10B-MoE-Instruct/302e9f42-b9fa-4e2b-acda-70c391f9b6bc.json
deleted file mode 100644
index 689c3f541..000000000
--- a/data/hfopenllm_v2/qingy2024/Falcon3-2x10B-MoE-Instruct/302e9f42-b9fa-4e2b-acda-70c391f9b6bc.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/qingy2024_Falcon3-2x10B-MoE-Instruct/1762652580.484361",
-  "retrieved_timestamp": "1762652580.484362",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "qingy2024/Falcon3-2x10B-MoE-Instruct",
-    "developer": "qingy2024",
-    "inference_platform": "unknown",
-    "id": "qingy2024/Falcon3-2x10B-MoE-Instruct",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MixtralForCausalLM",
-      "params_billions": 18.799
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6184925726037823
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.33053691275167785
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42835416666666665
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-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.44232047872340424
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-  ]
-}
diff --git a/data/hfopenllm_v2/qingy2024/Fusion-14B-Instruct/123331fd-a4fb-4dc6-a30e-17f230618df9.json b/data/hfopenllm_v2/qingy2024/Fusion-14B-Instruct/123331fd-a4fb-4dc6-a30e-17f230618df9.json
deleted file mode 100644
index 179c78216..000000000
--- a/data/hfopenllm_v2/qingy2024/Fusion-14B-Instruct/123331fd-a4fb-4dc6-a30e-17f230618df9.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/qingy2024_Fusion-14B-Instruct/1762652580.4845738",
-  "retrieved_timestamp": "1762652580.484575",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
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-        "min_score": 0,
-        "max_score": 1
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-}
diff --git a/data/hfopenllm_v2/qingy2024/Fusion-14B-Instruct/9a823fde-7802-4876-b72c-d8f73cd17236.json b/data/hfopenllm_v2/qingy2024/Fusion-14B-Instruct/9a823fde-7802-4876-b72c-d8f73cd17236.json
new file mode 100644
index 000000000..7fb915e5f
--- /dev/null
+++ b/data/hfopenllm_v2/qingy2024/Fusion-14B-Instruct/9a823fde-7802-4876-b72c-d8f73cd17236.json
@@ -0,0 +1,132 @@
+{
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+  "evaluation_id": "hfopenllm_v2/qingy2024_Fusion-14B-Instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Fusion-14B-Instruct",
+    "id": "qingy2024/Fusion-14B-Instruct",
+    "developer": "qingy2024",
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+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.0
+    }
+  },
+  "evaluation_results": [
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
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+        "evaluation_description": "Accuracy on IFEval",
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+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+    },
+    {
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+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
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+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+    },
+    {
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+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "max_score": 1.0
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
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+        "max_score": 1.0
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+        "score": 0.5044
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/qingy2024/Fusion2-14B-Instruct/cc17acb9-0f4e-46a9-a250-eb79a0fedc3f.json b/data/hfopenllm_v2/qingy2024/Fusion2-14B-Instruct/cc17acb9-0f4e-46a9-a250-eb79a0fedc3f.json
deleted file mode 100644
index 5e8096a1c..000000000
--- a/data/hfopenllm_v2/qingy2024/Fusion2-14B-Instruct/cc17acb9-0f4e-46a9-a250-eb79a0fedc3f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
-    "name": "qingy2024/Fusion2-14B-Instruct",
-    "developer": "qingy2024",
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-    "additional_details": {
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-      "architecture": "Qwen2ForCausalLM",
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-    }
-  },
-  "evaluation_results": [
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-      "evaluation_name": "IFEval",
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
-        "score": 0.46338541666666666
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-        "score": 0.5050698138297872
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/qingy2024/Fusion2-14B-Instruct/ede99239-ef8f-49eb-a48b-0ec2553c99e5.json b/data/hfopenllm_v2/qingy2024/Fusion2-14B-Instruct/ede99239-ef8f-49eb-a48b-0ec2553c99e5.json
new file mode 100644
index 000000000..130eb0036
--- /dev/null
+++ b/data/hfopenllm_v2/qingy2024/Fusion2-14B-Instruct/ede99239-ef8f-49eb-a48b-0ec2553c99e5.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/qingy2024_Fusion2-14B-Instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Fusion2-14B-Instruct",
+    "id": "qingy2024/Fusion2-14B-Instruct",
+    "developer": "qingy2024",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.766
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6064
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6119
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3127
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3448
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4634
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5051
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/qingy2024/Fusion4-14B-Instruct/4a307570-994f-491c-87a7-ad90b7965b8b.json b/data/hfopenllm_v2/qingy2024/Fusion4-14B-Instruct/4a307570-994f-491c-87a7-ad90b7965b8b.json
new file mode 100644
index 000000000..144b32ba3
--- /dev/null
+++ b/data/hfopenllm_v2/qingy2024/Fusion4-14B-Instruct/4a307570-994f-491c-87a7-ad90b7965b8b.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/qingy2024_Fusion4-14B-Instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Fusion4-14B-Instruct",
+    "id": "qingy2024/Fusion4-14B-Instruct",
+    "developer": "qingy2024",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.77
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7649
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6543
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3882
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3305
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4326
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5194
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/qingy2024/Fusion4-14B-Instruct/bb7b828c-07a0-4530-8c2e-8e4b6370cbb4.json b/data/hfopenllm_v2/qingy2024/Fusion4-14B-Instruct/bb7b828c-07a0-4530-8c2e-8e4b6370cbb4.json
deleted file mode 100644
index fade1fef8..000000000
--- a/data/hfopenllm_v2/qingy2024/Fusion4-14B-Instruct/bb7b828c-07a0-4530-8c2e-8e4b6370cbb4.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/qingy2024_Fusion4-14B-Instruct/1762652580.4850292",
-  "retrieved_timestamp": "1762652580.48503",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "qingy2024/Fusion4-14B-Instruct",
-    "developer": "qingy2024",
-    "inference_platform": "unknown",
-    "id": "qingy2024/Fusion4-14B-Instruct",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
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-  },
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diff --git a/data/hfopenllm_v2/qingy2024/OwO-14B-Instruct/eb448d78-6417-4533-8458-99c1869a74ae.json b/data/hfopenllm_v2/qingy2024/OwO-14B-Instruct/eb448d78-6417-4533-8458-99c1869a74ae.json
new file mode 100644
index 000000000..2f6ab406d
--- /dev/null
+++ b/data/hfopenllm_v2/qingy2024/OwO-14B-Instruct/eb448d78-6417-4533-8458-99c1869a74ae.json
@@ -0,0 +1,132 @@
+{
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+  "evaluation_id": "hfopenllm_v2/qingy2024_OwO-14B-Instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "OwO-14B-Instruct",
+    "id": "qingy2024/OwO-14B-Instruct",
+    "developer": "qingy2024",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.77
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
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+        "source_type": "hf_dataset",
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+      },
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+      },
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+    },
+    {
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+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6165
+      }
+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
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+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+      "score_details": {
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+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "max_score": 1.0
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+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/qingy2024/OwO-14B-Instruct/f524ebb6-64cb-43e3-8cff-6305ef122890.json b/data/hfopenllm_v2/qingy2024/OwO-14B-Instruct/f524ebb6-64cb-43e3-8cff-6305ef122890.json
deleted file mode 100644
index d2865f268..000000000
--- a/data/hfopenllm_v2/qingy2024/OwO-14B-Instruct/f524ebb6-64cb-43e3-8cff-6305ef122890.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/qingy2024_OwO-14B-Instruct/1762652580.485259",
-  "retrieved_timestamp": "1762652580.485259",
-  "source_data": [
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
-    "name": "qingy2024/OwO-14B-Instruct",
-    "developer": "qingy2024",
-    "inference_platform": "unknown",
-    "id": "qingy2024/OwO-14B-Instruct",
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diff --git a/data/hfopenllm_v2/qingy2024/QwEnlarge-16B-Instruct/dd44686d-13da-4c88-81d3-6d01676baa4e.json b/data/hfopenllm_v2/qingy2024/QwEnlarge-16B-Instruct/dd44686d-13da-4c88-81d3-6d01676baa4e.json
deleted file mode 100644
index 348c15985..000000000
--- a/data/hfopenllm_v2/qingy2024/QwEnlarge-16B-Instruct/dd44686d-13da-4c88-81d3-6d01676baa4e.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
-    "name": "qingy2024/QwEnlarge-16B-Instruct",
-    "developer": "qingy2024",
-    "inference_platform": "unknown",
-    "id": "qingy2024/QwEnlarge-16B-Instruct",
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-        "score_type": "continuous",
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-    {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-}
diff --git a/data/hfopenllm_v2/qingy2024/QwEnlarge-16B-Instruct/e1b8e4ad-4327-46b9-b957-fbd02e57c87e.json b/data/hfopenllm_v2/qingy2024/QwEnlarge-16B-Instruct/e1b8e4ad-4327-46b9-b957-fbd02e57c87e.json
new file mode 100644
index 000000000..64c399092
--- /dev/null
+++ b/data/hfopenllm_v2/qingy2024/QwEnlarge-16B-Instruct/e1b8e4ad-4327-46b9-b957-fbd02e57c87e.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/qingy2024_QwEnlarge-16B-Instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "QwEnlarge-16B-Instruct",
+    "id": "qingy2024/QwEnlarge-16B-Instruct",
+    "developer": "qingy2024",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 15.871
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7802
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5949
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.46
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3331
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4101
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4476
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/qingy2024/QwQ-14B-Math-v0.2/4092651d-1d14-408d-922d-6189858aab36.json b/data/hfopenllm_v2/qingy2024/QwQ-14B-Math-v0.2/4092651d-1d14-408d-922d-6189858aab36.json
deleted file mode 100644
index bcf56db1f..000000000
--- a/data/hfopenllm_v2/qingy2024/QwQ-14B-Math-v0.2/4092651d-1d14-408d-922d-6189858aab36.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "source_data": [
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-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "qingy2024/QwQ-14B-Math-v0.2",
-    "developer": "qingy2024",
-    "inference_platform": "unknown",
-    "id": "qingy2024/QwQ-14B-Math-v0.2",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
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-  "evaluation_results": [
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-        "min_score": 0,
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-      },
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-    {
-      "evaluation_name": "MATH Level 5",
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-      "evaluation_name": "MMLU-PRO",
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-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/qingy2024/QwQ-14B-Math-v0.2/aab6b224-b948-4fb1-84b7-0dbe5c46d527.json b/data/hfopenllm_v2/qingy2024/QwQ-14B-Math-v0.2/aab6b224-b948-4fb1-84b7-0dbe5c46d527.json
new file mode 100644
index 000000000..1d8168654
--- /dev/null
+++ b/data/hfopenllm_v2/qingy2024/QwQ-14B-Math-v0.2/aab6b224-b948-4fb1-84b7-0dbe5c46d527.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/qingy2024_QwQ-14B-Math-v0.2/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "QwQ-14B-Math-v0.2",
+    "id": "qingy2024/QwQ-14B-Math-v0.2",
+    "developer": "qingy2024",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.77
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3391
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5731
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4811
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2626
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4021
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.48
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/qingy2024/Qwarkstar-4B-Instruct-Preview/2e5cd1de-6109-4f76-b722-abbd4b207f4d.json b/data/hfopenllm_v2/qingy2024/Qwarkstar-4B-Instruct-Preview/2e5cd1de-6109-4f76-b722-abbd4b207f4d.json
new file mode 100644
index 000000000..dd72818b2
--- /dev/null
+++ b/data/hfopenllm_v2/qingy2024/Qwarkstar-4B-Instruct-Preview/2e5cd1de-6109-4f76-b722-abbd4b207f4d.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/qingy2024_Qwarkstar-4B-Instruct-Preview/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwarkstar-4B-Instruct-Preview",
+    "id": "qingy2024/Qwarkstar-4B-Instruct-Preview",
+    "developer": "qingy2024",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 4.473
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5324
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4358
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1284
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2802
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3896
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2502
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/qingy2024/Qwarkstar-4B-Instruct-Preview/701a4aa4-b057-42d8-8b89-dd59950d1981.json b/data/hfopenllm_v2/qingy2024/Qwarkstar-4B-Instruct-Preview/701a4aa4-b057-42d8-8b89-dd59950d1981.json
deleted file mode 100644
index 5cf0f02ba..000000000
--- a/data/hfopenllm_v2/qingy2024/Qwarkstar-4B-Instruct-Preview/701a4aa4-b057-42d8-8b89-dd59950d1981.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/qingy2024_Qwarkstar-4B-Instruct-Preview/1762652580.4865122",
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-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "qingy2024/Qwarkstar-4B-Instruct-Preview",
-    "developer": "qingy2024",
-    "inference_platform": "unknown",
-    "id": "qingy2024/Qwarkstar-4B-Instruct-Preview",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 4.473
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5324372664530114
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.43584381808469397
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-        "score": 0.1283987915407855
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2802013422818792
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.38959374999999996
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.250249335106383
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/qingy2024/Qwarkstar-4B/767d1296-4971-478f-8d78-1d63d162ae5b.json b/data/hfopenllm_v2/qingy2024/Qwarkstar-4B/767d1296-4971-478f-8d78-1d63d162ae5b.json
new file mode 100644
index 000000000..4fa365663
--- /dev/null
+++ b/data/hfopenllm_v2/qingy2024/Qwarkstar-4B/767d1296-4971-478f-8d78-1d63d162ae5b.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/qingy2024_Qwarkstar-4B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwarkstar-4B",
+    "id": "qingy2024/Qwarkstar-4B",
+    "developer": "qingy2024",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 4.473
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1994
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4015
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0861
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3247
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4428
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2425
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/qingy2024/Qwarkstar-4B/9f586b02-3514-46f7-b1df-4e78f286893e.json b/data/hfopenllm_v2/qingy2024/Qwarkstar-4B/9f586b02-3514-46f7-b1df-4e78f286893e.json
deleted file mode 100644
index 5cb9cf504..000000000
--- a/data/hfopenllm_v2/qingy2024/Qwarkstar-4B/9f586b02-3514-46f7-b1df-4e78f286893e.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/qingy2024_Qwarkstar-4B/1762652580.486229",
-  "retrieved_timestamp": "1762652580.4862301",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "qingy2024/Qwarkstar-4B",
-    "developer": "qingy2024",
-    "inference_platform": "unknown",
-    "id": "qingy2024/Qwarkstar-4B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 4.473
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.19941200459225966
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.40149118131308104
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.08610271903323263
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.32466442953020136
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.44283333333333336
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
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diff --git a/data/hfopenllm_v2/qingy2024/Qwen2.5-4B/eab74e3b-de61-4fa9-87c2-56e69b70349a.json b/data/hfopenllm_v2/qingy2024/Qwen2.5-4B/eab74e3b-de61-4fa9-87c2-56e69b70349a.json
new file mode 100644
index 000000000..9a1241837
--- /dev/null
+++ b/data/hfopenllm_v2/qingy2024/Qwen2.5-4B/eab74e3b-de61-4fa9-87c2-56e69b70349a.json
@@ -0,0 +1,132 @@
+{
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+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
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+    "source_type": "documentation",
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+    "id": "qingy2024/Qwen2.5-4B",
+    "developer": "qingy2024",
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+    "additional_details": {
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+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 4.168
+    }
+  },
+  "evaluation_results": [
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+        "source_type": "hf_dataset",
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+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+      }
+    },
+    {
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+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "max_score": 1.0
+      },
+      "score_details": {
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+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+        "hf_repo": "Idavidrein/gpqa"
+      },
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+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
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+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.461
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+    {
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+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "max_score": 1.0
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+        "score": 0.2525
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/qingy2024/Qwen2.5-Coder-Draft-1.5B-Instruct/3219d563-3bfb-4618-8cb3-e9b198d5b11f.json b/data/hfopenllm_v2/qingy2024/Qwen2.5-Coder-Draft-1.5B-Instruct/3219d563-3bfb-4618-8cb3-e9b198d5b11f.json
new file mode 100644
index 000000000..56cfd6f64
--- /dev/null
+++ b/data/hfopenllm_v2/qingy2024/Qwen2.5-Coder-Draft-1.5B-Instruct/3219d563-3bfb-4618-8cb3-e9b198d5b11f.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/qingy2024_Qwen2.5-Coder-Draft-1.5B-Instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-Coder-Draft-1.5B-Instruct",
+    "id": "qingy2024/Qwen2.5-Coder-Draft-1.5B-Instruct",
+    "developer": "qingy2024",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 1.544
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4125
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3837
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+    },
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+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2601
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2244
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/qingy2024/Qwen2.5-Coder-Draft-1.5B-Instruct/40662202-f976-4dc0-acf2-f4794bb5d744.json b/data/hfopenllm_v2/qingy2024/Qwen2.5-Coder-Draft-1.5B-Instruct/40662202-f976-4dc0-acf2-f4794bb5d744.json
deleted file mode 100644
index f33165f16..000000000
--- a/data/hfopenllm_v2/qingy2024/Qwen2.5-Coder-Draft-1.5B-Instruct/40662202-f976-4dc0-acf2-f4794bb5d744.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/qingy2024_Qwen2.5-Coder-Draft-1.5B-Instruct/1762652580.487137",
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-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
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-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-    "name": "qingy2024/Qwen2.5-Coder-Draft-1.5B-Instruct",
-    "developer": "qingy2024",
-    "inference_platform": "unknown",
-    "id": "qingy2024/Qwen2.5-Coder-Draft-1.5B-Instruct",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
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-    }
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-        "lower_is_better": false,
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-        "score_type": "continuous",
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-    {
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diff --git a/data/hfopenllm_v2/qingy2024/Qwen2.5-Math-14B-Instruct-Alpha/011f32a0-458f-4bea-8192-b18a19ddd0c7.json b/data/hfopenllm_v2/qingy2024/Qwen2.5-Math-14B-Instruct-Alpha/011f32a0-458f-4bea-8192-b18a19ddd0c7.json
deleted file mode 100644
index 7f21aa8bc..000000000
--- a/data/hfopenllm_v2/qingy2024/Qwen2.5-Math-14B-Instruct-Alpha/011f32a0-458f-4bea-8192-b18a19ddd0c7.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "source_data": [
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-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
-    "name": "qingy2024/Qwen2.5-Math-14B-Instruct-Alpha",
-    "developer": "qingy2024",
-    "inference_platform": "unknown",
-    "id": "qingy2024/Qwen2.5-Math-14B-Instruct-Alpha",
-    "additional_details": {
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-      "architecture": "Qwen2ForCausalLM",
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-      },
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-        "score_type": "continuous",
-        "min_score": 0,
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-    },
-    {
-      "evaluation_name": "GPQA",
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-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.40209374999999997
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-      },
-      "score_details": {
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diff --git a/data/hfopenllm_v2/qingy2024/Qwen2.5-Math-14B-Instruct-Alpha/233fd27c-561e-4c9e-a917-cbc5b08c055a.json b/data/hfopenllm_v2/qingy2024/Qwen2.5-Math-14B-Instruct-Alpha/233fd27c-561e-4c9e-a917-cbc5b08c055a.json
new file mode 100644
index 000000000..140c278d3
--- /dev/null
+++ b/data/hfopenllm_v2/qingy2024/Qwen2.5-Math-14B-Instruct-Alpha/233fd27c-561e-4c9e-a917-cbc5b08c055a.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/qingy2024_Qwen2.5-Math-14B-Instruct-Alpha/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-Math-14B-Instruct-Alpha",
+    "id": "qingy2024/Qwen2.5-Math-14B-Instruct-Alpha",
+    "developer": "qingy2024",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.77
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7704
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+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
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+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6465
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+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+        "score": 0.429
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+    {
+      "evaluation_name": "GPQA",
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+        "dataset_name": "GPQA",
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+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.349
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+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
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+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4021
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+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4966
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/qingy2024/Qwen2.5-Math-14B-Instruct-Preview/a875e8f7-a4e6-4c17-abbc-b8d4b73b7501.json b/data/hfopenllm_v2/qingy2024/Qwen2.5-Math-14B-Instruct-Preview/a875e8f7-a4e6-4c17-abbc-b8d4b73b7501.json
new file mode 100644
index 000000000..f9376abc8
--- /dev/null
+++ b/data/hfopenllm_v2/qingy2024/Qwen2.5-Math-14B-Instruct-Preview/a875e8f7-a4e6-4c17-abbc-b8d4b73b7501.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/qingy2024_Qwen2.5-Math-14B-Instruct-Preview/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-Math-14B-Instruct-Preview",
+    "id": "qingy2024/Qwen2.5-Math-14B-Instruct-Preview",
+    "developer": "qingy2024",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.77
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7826
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6294
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4758
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3406
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4115
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4993
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/qingy2024/Qwen2.5-Math-14B-Instruct-Preview/aab84d55-c491-402c-9ed0-59347573fea9.json b/data/hfopenllm_v2/qingy2024/Qwen2.5-Math-14B-Instruct-Preview/aab84d55-c491-402c-9ed0-59347573fea9.json
deleted file mode 100644
index 58be28289..000000000
--- a/data/hfopenllm_v2/qingy2024/Qwen2.5-Math-14B-Instruct-Preview/aab84d55-c491-402c-9ed0-59347573fea9.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/qingy2024_Qwen2.5-Math-14B-Instruct-Preview/1762652580.487701",
-  "retrieved_timestamp": "1762652580.4877021",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "qingy2024/Qwen2.5-Math-14B-Instruct-Preview",
-    "developer": "qingy2024",
-    "inference_platform": "unknown",
-    "id": "qingy2024/Qwen2.5-Math-14B-Instruct-Preview",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 14.77
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7825802204816554
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6293942245934432
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.47583081570996977
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.34060402684563756
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4114583333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.49933510638297873
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/qingy2024/Qwen2.6-14B-Instruct/4b68ba49-6681-4add-9197-2cd711701e15.json b/data/hfopenllm_v2/qingy2024/Qwen2.6-14B-Instruct/4b68ba49-6681-4add-9197-2cd711701e15.json
new file mode 100644
index 000000000..c2c1c3606
--- /dev/null
+++ b/data/hfopenllm_v2/qingy2024/Qwen2.6-14B-Instruct/4b68ba49-6681-4add-9197-2cd711701e15.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/qingy2024_Qwen2.6-14B-Instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.6-14B-Instruct",
+    "id": "qingy2024/Qwen2.6-14B-Instruct",
+    "developer": "qingy2024",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.766
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5811
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6394
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3051
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3792
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4569
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5285
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/qingy2024/Qwen2.6-14B-Instruct/c27064c4-93d1-41a1-a61f-cde7a991b047.json b/data/hfopenllm_v2/qingy2024/Qwen2.6-14B-Instruct/c27064c4-93d1-41a1-a61f-cde7a991b047.json
deleted file mode 100644
index 7e72e940d..000000000
--- a/data/hfopenllm_v2/qingy2024/Qwen2.6-14B-Instruct/c27064c4-93d1-41a1-a61f-cde7a991b047.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/qingy2024_Qwen2.6-14B-Instruct/1762652580.48806",
-  "retrieved_timestamp": "1762652580.488061",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "qingy2024/Qwen2.6-14B-Instruct",
-    "developer": "qingy2024",
-    "inference_platform": "unknown",
-    "id": "qingy2024/Qwen2.6-14B-Instruct",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 14.766
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
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-        "score": 0.5810970447302047
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-    },
-    {
-      "evaluation_name": "BBH",
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-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
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-        "score_type": "continuous",
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-      "score_details": {
-        "score": 0.30513595166163143
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37919463087248323
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4569375
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5285073138297872
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/qingy2024/Qwen2.6-Math-14B-Instruct/37822fb0-4ada-4413-aa77-6938678994d9.json b/data/hfopenllm_v2/qingy2024/Qwen2.6-Math-14B-Instruct/37822fb0-4ada-4413-aa77-6938678994d9.json
deleted file mode 100644
index 4a40f2330..000000000
--- a/data/hfopenllm_v2/qingy2024/Qwen2.6-Math-14B-Instruct/37822fb0-4ada-4413-aa77-6938678994d9.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/qingy2024_Qwen2.6-Math-14B-Instruct/1762652580.488592",
-  "retrieved_timestamp": "1762652580.4885938",
-  "source_data": [
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-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "qingy2024/Qwen2.6-Math-14B-Instruct",
-    "developer": "qingy2024",
-    "inference_platform": "unknown",
-    "id": "qingy2024/Qwen2.6-Math-14B-Instruct",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 14.0
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-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
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-    {
-      "evaluation_name": "BBH",
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-      },
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-    {
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-    },
-    {
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-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
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-        "score_type": "continuous",
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-      "score_details": {
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-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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diff --git a/data/hfopenllm_v2/qingy2024/Qwen2.6-Math-14B-Instruct/5679ca73-3d5f-4bc7-bea2-5e9e713db0cc.json b/data/hfopenllm_v2/qingy2024/Qwen2.6-Math-14B-Instruct/5679ca73-3d5f-4bc7-bea2-5e9e713db0cc.json
new file mode 100644
index 000000000..ee424cd53
--- /dev/null
+++ b/data/hfopenllm_v2/qingy2024/Qwen2.6-Math-14B-Instruct/5679ca73-3d5f-4bc7-bea2-5e9e713db0cc.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/qingy2024_Qwen2.6-Math-14B-Instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.6-Math-14B-Instruct",
+    "id": "qingy2024/Qwen2.6-Math-14B-Instruct",
+    "developer": "qingy2024",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.0
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3862
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6324
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.429
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.37
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4759
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5241
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/qq8933/OpenLongCoT-Base-Gemma2-2B/a6c631f6-890c-4199-abee-18b012bc48df.json b/data/hfopenllm_v2/qq8933/OpenLongCoT-Base-Gemma2-2B/a6c631f6-890c-4199-abee-18b012bc48df.json
new file mode 100644
index 000000000..62c5fe7c9
--- /dev/null
+++ b/data/hfopenllm_v2/qq8933/OpenLongCoT-Base-Gemma2-2B/a6c631f6-890c-4199-abee-18b012bc48df.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/qq8933_OpenLongCoT-Base-Gemma2-2B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "OpenLongCoT-Base-Gemma2-2B",
+    "id": "qq8933/OpenLongCoT-Base-Gemma2-2B",
+    "developer": "qq8933",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Gemma2ForCausalLM",
+      "params_billions": 3.204
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1965
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3106
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2626
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3222
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1316
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/raphgg/test-2.5-72B/133866e4-6e3a-4d88-95f3-d7e1bd414988.json b/data/hfopenllm_v2/raphgg/test-2.5-72B/133866e4-6e3a-4d88-95f3-d7e1bd414988.json
deleted file mode 100644
index 8438754b9..000000000
--- a/data/hfopenllm_v2/raphgg/test-2.5-72B/133866e4-6e3a-4d88-95f3-d7e1bd414988.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/raphgg_test-2.5-72B/1762652580.489263",
-  "retrieved_timestamp": "1762652580.489265",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "raphgg/test-2.5-72B",
-    "developer": "raphgg",
-    "inference_platform": "unknown",
-    "id": "raphgg/test-2.5-72B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 72.706
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.8437047035199936
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7266099425567868
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.38926174496644295
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.48118750000000005
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5836934840425532
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/raphgg/test-2.5-72B/1edc3610-40fc-467d-8410-26d4b6adebce.json b/data/hfopenllm_v2/raphgg/test-2.5-72B/1edc3610-40fc-467d-8410-26d4b6adebce.json
new file mode 100644
index 000000000..f9c3617d5
--- /dev/null
+++ b/data/hfopenllm_v2/raphgg/test-2.5-72B/1edc3610-40fc-467d-8410-26d4b6adebce.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/raphgg_test-2.5-72B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "test-2.5-72B",
+    "id": "raphgg/test-2.5-72B",
+    "developer": "raphgg",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 72.706
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.8437
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7266
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4109
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3893
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4812
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5837
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/rasyosef/Mistral-NeMo-Minitron-8B-Chat/42c773ba-8fb4-4b3c-8ac7-0688519bb55c.json b/data/hfopenllm_v2/rasyosef/Mistral-NeMo-Minitron-8B-Chat/42c773ba-8fb4-4b3c-8ac7-0688519bb55c.json
new file mode 100644
index 000000000..33c5db79a
--- /dev/null
+++ b/data/hfopenllm_v2/rasyosef/Mistral-NeMo-Minitron-8B-Chat/42c773ba-8fb4-4b3c-8ac7-0688519bb55c.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/rasyosef_Mistral-NeMo-Minitron-8B-Chat/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Mistral-NeMo-Minitron-8B-Chat",
+    "id": "rasyosef/Mistral-NeMo-Minitron-8B-Chat",
+    "developer": "rasyosef",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 8.414
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4452
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4759
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0272
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.276
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4304
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2404
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/rasyosef/Mistral-NeMo-Minitron-8B-Chat/cb8d28e5-d423-4a62-8b73-7542fb990d8e.json b/data/hfopenllm_v2/rasyosef/Mistral-NeMo-Minitron-8B-Chat/cb8d28e5-d423-4a62-8b73-7542fb990d8e.json
deleted file mode 100644
index 3ab954b17..000000000
--- a/data/hfopenllm_v2/rasyosef/Mistral-NeMo-Minitron-8B-Chat/cb8d28e5-d423-4a62-8b73-7542fb990d8e.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/rasyosef_Mistral-NeMo-Minitron-8B-Chat/1762652580.4896698",
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-    "name": "rasyosef/Mistral-NeMo-Minitron-8B-Chat",
-    "developer": "rasyosef",
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-    "id": "rasyosef/Mistral-NeMo-Minitron-8B-Chat",
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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diff --git a/data/hfopenllm_v2/rasyosef/Phi-1_5-Instruct-v0.1/1a371df5-447f-4fd8-8fe8-dbf9a1dc079a.json b/data/hfopenllm_v2/rasyosef/Phi-1_5-Instruct-v0.1/1a371df5-447f-4fd8-8fe8-dbf9a1dc079a.json
new file mode 100644
index 000000000..a55a5da1a
--- /dev/null
+++ b/data/hfopenllm_v2/rasyosef/Phi-1_5-Instruct-v0.1/1a371df5-447f-4fd8-8fe8-dbf9a1dc079a.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/rasyosef_Phi-1_5-Instruct-v0.1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Phi-1_5-Instruct-v0.1",
+    "id": "rasyosef/Phi-1_5-Instruct-v0.1",
+    "developer": "rasyosef",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "PhiForCausalLM",
+      "params_billions": 1.415
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2402
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3118
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
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+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2601
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3422
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1562
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/rasyosef/Phi-1_5-Instruct-v0.1/e4d90e2b-f510-4941-8e10-be027693c3d4.json b/data/hfopenllm_v2/rasyosef/Phi-1_5-Instruct-v0.1/e4d90e2b-f510-4941-8e10-be027693c3d4.json
deleted file mode 100644
index 37fbdb8b7..000000000
--- a/data/hfopenllm_v2/rasyosef/Phi-1_5-Instruct-v0.1/e4d90e2b-f510-4941-8e10-be027693c3d4.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/rasyosef_Phi-1_5-Instruct-v0.1/1762652580.4902148",
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-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
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-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
-    "name": "rasyosef/Phi-1_5-Instruct-v0.1",
-    "developer": "rasyosef",
-    "inference_platform": "unknown",
-    "id": "rasyosef/Phi-1_5-Instruct-v0.1",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "PhiForCausalLM",
-      "params_billions": 1.415
-    }
-  },
-  "evaluation_results": [
-    {
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-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
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-        "score_type": "continuous",
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-      "score_details": {
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-    {
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-        "score_type": "continuous",
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-        "score_type": "continuous",
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-      "score_details": {
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-    {
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-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-    {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-    }
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-}
diff --git a/data/hfopenllm_v2/rasyosef/phi-2-instruct-apo/821a21a0-6fd7-438a-933d-5e31b2dd2adc.json b/data/hfopenllm_v2/rasyosef/phi-2-instruct-apo/821a21a0-6fd7-438a-933d-5e31b2dd2adc.json
new file mode 100644
index 000000000..02df295de
--- /dev/null
+++ b/data/hfopenllm_v2/rasyosef/phi-2-instruct-apo/821a21a0-6fd7-438a-933d-5e31b2dd2adc.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/rasyosef_phi-2-instruct-apo/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "phi-2-instruct-apo",
+    "id": "rasyosef/phi-2-instruct-apo",
+    "developer": "rasyosef",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "PhiForCausalLM",
+      "params_billions": 2.775
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3146
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4445
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0302
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2701
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3342
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2155
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/rasyosef/phi-2-instruct-apo/f56f3dda-a774-45d7-b949-b5e04174a413.json b/data/hfopenllm_v2/rasyosef/phi-2-instruct-apo/f56f3dda-a774-45d7-b949-b5e04174a413.json
deleted file mode 100644
index 65065147d..000000000
--- a/data/hfopenllm_v2/rasyosef/phi-2-instruct-apo/f56f3dda-a774-45d7-b949-b5e04174a413.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/rasyosef_phi-2-instruct-apo/1762652580.490494",
-  "retrieved_timestamp": "1762652580.490495",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "rasyosef/phi-2-instruct-apo",
-    "developer": "rasyosef",
-    "inference_platform": "unknown",
-    "id": "rasyosef/phi-2-instruct-apo",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "PhiForCausalLM",
-      "params_billions": 2.775
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
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-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2701342281879195
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.33421875
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.21550864361702127
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/rasyosef/phi-2-instruct-v0.1/556eef3e-7c58-446d-acc5-26af0413d2bc.json b/data/hfopenllm_v2/rasyosef/phi-2-instruct-v0.1/556eef3e-7c58-446d-acc5-26af0413d2bc.json
deleted file mode 100644
index a9ed43758..000000000
--- a/data/hfopenllm_v2/rasyosef/phi-2-instruct-v0.1/556eef3e-7c58-446d-acc5-26af0413d2bc.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/rasyosef_phi-2-instruct-v0.1/1762652580.490772",
-  "retrieved_timestamp": "1762652580.490773",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "rasyosef/phi-2-instruct-v0.1",
-    "developer": "rasyosef",
-    "inference_platform": "unknown",
-    "id": "rasyosef/phi-2-instruct-v0.1",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "PhiForCausalLM",
-      "params_billions": 2.775
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-  },
-  "evaluation_results": [
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-      "evaluation_name": "IFEval",
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-        "lower_is_better": false,
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-        "min_score": 0,
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-    {
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diff --git a/data/hfopenllm_v2/rasyosef/phi-2-instruct-v0.1/781a4cc6-a69d-4106-81aa-06e114f7c897.json b/data/hfopenllm_v2/rasyosef/phi-2-instruct-v0.1/781a4cc6-a69d-4106-81aa-06e114f7c897.json
new file mode 100644
index 000000000..16d481683
--- /dev/null
+++ b/data/hfopenllm_v2/rasyosef/phi-2-instruct-v0.1/781a4cc6-a69d-4106-81aa-06e114f7c897.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/rasyosef_phi-2-instruct-v0.1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "phi-2-instruct-v0.1",
+    "id": "rasyosef/phi-2-instruct-v0.1",
+    "developer": "rasyosef",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "PhiForCausalLM",
+      "params_billions": 2.775
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
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+    {
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+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4726
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2743
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3524
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2247
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/realtreetune/rho-1b-sft-MATH/86234365-2d3e-4d49-96e8-8f034990c902.json b/data/hfopenllm_v2/realtreetune/rho-1b-sft-MATH/86234365-2d3e-4d49-96e8-8f034990c902.json
deleted file mode 100644
index c7026ff70..000000000
--- a/data/hfopenllm_v2/realtreetune/rho-1b-sft-MATH/86234365-2d3e-4d49-96e8-8f034990c902.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/realtreetune_rho-1b-sft-MATH/1762652580.4910588",
-  "retrieved_timestamp": "1762652580.49106",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "realtreetune/rho-1b-sft-MATH",
-    "developer": "realtreetune",
-    "inference_platform": "unknown",
-    "id": "realtreetune/rho-1b-sft-MATH",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 1.1
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-    {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-        "lower_is_better": false,
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-    },
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-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/realtreetune/rho-1b-sft-MATH/e49c98b4-46f4-406e-9eeb-7072bf72b9a3.json b/data/hfopenllm_v2/realtreetune/rho-1b-sft-MATH/e49c98b4-46f4-406e-9eeb-7072bf72b9a3.json
new file mode 100644
index 000000000..56ba23460
--- /dev/null
+++ b/data/hfopenllm_v2/realtreetune/rho-1b-sft-MATH/e49c98b4-46f4-406e-9eeb-7072bf72b9a3.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/realtreetune_rho-1b-sft-MATH/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "rho-1b-sft-MATH",
+    "id": "realtreetune/rho-1b-sft-MATH",
+    "developer": "realtreetune",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 1.1
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2121
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3144
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0347
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2525
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3458
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1117
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/recoilme/Gemma-2-Ataraxy-Gemmasutra-9B-slerp/3b7524a8-d17b-4788-93f2-11076df464a7.json b/data/hfopenllm_v2/recoilme/Gemma-2-Ataraxy-Gemmasutra-9B-slerp/3b7524a8-d17b-4788-93f2-11076df464a7.json
new file mode 100644
index 000000000..b8063cb4c
--- /dev/null
+++ b/data/hfopenllm_v2/recoilme/Gemma-2-Ataraxy-Gemmasutra-9B-slerp/3b7524a8-d17b-4788-93f2-11076df464a7.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/recoilme_Gemma-2-Ataraxy-Gemmasutra-9B-slerp/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Gemma-2-Ataraxy-Gemmasutra-9B-slerp",
+    "id": "recoilme/Gemma-2-Ataraxy-Gemmasutra-9B-slerp",
+    "developer": "recoilme",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Gemma2ForCausalLM",
+      "params_billions": 10.159
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2854
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5984
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1005
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3297
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4607
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4162
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/recoilme/Gemma-2-Ataraxy-Gemmasutra-9B-slerp/6188a57f-4bc3-42a5-ad18-c59774e40407.json b/data/hfopenllm_v2/recoilme/Gemma-2-Ataraxy-Gemmasutra-9B-slerp/6188a57f-4bc3-42a5-ad18-c59774e40407.json
new file mode 100644
index 000000000..eda35f4dd
--- /dev/null
+++ b/data/hfopenllm_v2/recoilme/Gemma-2-Ataraxy-Gemmasutra-9B-slerp/6188a57f-4bc3-42a5-ad18-c59774e40407.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/recoilme_Gemma-2-Ataraxy-Gemmasutra-9B-slerp/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Gemma-2-Ataraxy-Gemmasutra-9B-slerp",
+    "id": "recoilme/Gemma-2-Ataraxy-Gemmasutra-9B-slerp",
+    "developer": "recoilme",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Gemma2ForCausalLM",
+      "params_billions": 10.159
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7649
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
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diff --git a/data/hfopenllm_v2/recoilme/recoilme-gemma-2-9B-v0.1/28689805-7c4c-438e-8431-f4a6aceb5e94.json b/data/hfopenllm_v2/recoilme/recoilme-gemma-2-9B-v0.1/28689805-7c4c-438e-8431-f4a6aceb5e94.json
new file mode 100644
index 000000000..fb6c7b792
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diff --git a/data/hfopenllm_v2/recoilme/recoilme-gemma-2-9B-v0.2/7c156689-9668-4ded-bacc-c88a03ad1526.json b/data/hfopenllm_v2/recoilme/recoilme-gemma-2-9B-v0.2/7c156689-9668-4ded-bacc-c88a03ad1526.json
new file mode 100644
index 000000000..8be1d1216
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diff --git a/data/hfopenllm_v2/recoilme/recoilme-gemma-2-9B-v0.2/7e43f187-1959-4dfe-802f-094ba88f3b0d.json b/data/hfopenllm_v2/recoilme/recoilme-gemma-2-9B-v0.2/7e43f187-1959-4dfe-802f-094ba88f3b0d.json
new file mode 100644
index 000000000..2194c56b4
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/recoilme/recoilme-gemma-2-9B-v0.3/a6170173-ef17-4cfa-a76e-8e51cb8cb970.json b/data/hfopenllm_v2/recoilme/recoilme-gemma-2-9B-v0.3/a6170173-ef17-4cfa-a76e-8e51cb8cb970.json
new file mode 100644
index 000000000..b07a872e1
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/recoilme/recoilme-gemma-2-9B-v0.3/e998d52b-dd94-4ef2-9cfc-5034ded0105a.json b/data/hfopenllm_v2/recoilme/recoilme-gemma-2-9B-v0.3/e998d52b-dd94-4ef2-9cfc-5034ded0105a.json
new file mode 100644
index 000000000..f0948a794
--- /dev/null
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/recoilme/recoilme-gemma-2-9B-v0.4/a3ac60bd-8fb3-47d9-b378-1f0c4d74fed2.json b/data/hfopenllm_v2/recoilme/recoilme-gemma-2-9B-v0.4/a3ac60bd-8fb3-47d9-b378-1f0c4d74fed2.json
new file mode 100644
index 000000000..4927c66a1
--- /dev/null
+++ b/data/hfopenllm_v2/recoilme/recoilme-gemma-2-9B-v0.4/a3ac60bd-8fb3-47d9-b378-1f0c4d74fed2.json
@@ -0,0 +1,132 @@
+{
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+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
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+    "source_type": "documentation",
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+    "id": "recoilme/recoilme-gemma-2-9B-v0.4",
+    "developer": "recoilme",
+    "inference_platform": "unknown",
+    "additional_details": {
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+      "architecture": "Gemma2ForCausalLM",
+      "params_billions": 10.159
+    }
+  },
+  "evaluation_results": [
+    {
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+      "source_data": {
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+        "hf_repo": "google/IFEval"
+      },
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+        "score_type": "continuous",
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
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+        "max_score": 1.0
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+        "hf_repo": "TIGER-Lab/MMLU-Pro"
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+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/recoilme/recoilme-gemma-2-9B-v0.5/0f69217c-74ed-4398-8d1b-53d1a43be890.json b/data/hfopenllm_v2/recoilme/recoilme-gemma-2-9B-v0.5/0f69217c-74ed-4398-8d1b-53d1a43be890.json
new file mode 100644
index 000000000..31bf944b2
--- /dev/null
+++ b/data/hfopenllm_v2/recoilme/recoilme-gemma-2-9B-v0.5/0f69217c-74ed-4398-8d1b-53d1a43be890.json
@@ -0,0 +1,132 @@
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+    "id": "recoilme/recoilme-gemma-2-9B-v0.5",
+    "developer": "recoilme",
+    "inference_platform": "unknown",
+    "additional_details": {
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+      "params_billions": 10.159
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+  "evaluation_results": [
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+        "hf_repo": "SaylorTwift/bbh"
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+        "lower_is_better": false,
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+        "max_score": 1.0
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+    },
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+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
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+        "hf_repo": "TAUR-Lab/MuSR"
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+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/redrix/AngelSlayer-12B-Unslop-Mell-RPMax-DARKNESS/60e8f886-62fa-444a-8193-273905cbd4e8.json b/data/hfopenllm_v2/redrix/AngelSlayer-12B-Unslop-Mell-RPMax-DARKNESS/60e8f886-62fa-444a-8193-273905cbd4e8.json
deleted file mode 100644
index ffa1028b6..000000000
--- a/data/hfopenllm_v2/redrix/AngelSlayer-12B-Unslop-Mell-RPMax-DARKNESS/60e8f886-62fa-444a-8193-273905cbd4e8.json
+++ /dev/null
@@ -1,105 +0,0 @@
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-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-    "name": "redrix/AngelSlayer-12B-Unslop-Mell-RPMax-DARKNESS",
-    "developer": "redrix",
-    "inference_platform": "unknown",
-    "id": "redrix/AngelSlayer-12B-Unslop-Mell-RPMax-DARKNESS",
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diff --git a/data/hfopenllm_v2/redrix/AngelSlayer-12B-Unslop-Mell-RPMax-DARKNESS/b973adcc-769c-4009-87c5-5f5af02a5d3a.json b/data/hfopenllm_v2/redrix/AngelSlayer-12B-Unslop-Mell-RPMax-DARKNESS/b973adcc-769c-4009-87c5-5f5af02a5d3a.json
new file mode 100644
index 000000000..f90aef9ac
--- /dev/null
+++ b/data/hfopenllm_v2/redrix/AngelSlayer-12B-Unslop-Mell-RPMax-DARKNESS/b973adcc-769c-4009-87c5-5f5af02a5d3a.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/redrix_AngelSlayer-12B-Unslop-Mell-RPMax-DARKNESS/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "AngelSlayer-12B-Unslop-Mell-RPMax-DARKNESS",
+    "id": "redrix/AngelSlayer-12B-Unslop-Mell-RPMax-DARKNESS",
+    "developer": "redrix",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 12.248
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+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
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+        "source_type": "hf_dataset",
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+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+    },
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+        "hf_repo": "SaylorTwift/bbh"
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+        "max_score": 1.0
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+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
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+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
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+      "source_data": {
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+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.318
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/redrix/patricide-12B-Unslop-Mell/16052a72-b235-47df-ac4c-fe54e49b9131.json b/data/hfopenllm_v2/redrix/patricide-12B-Unslop-Mell/16052a72-b235-47df-ac4c-fe54e49b9131.json
deleted file mode 100644
index 827f9cfec..000000000
--- a/data/hfopenllm_v2/redrix/patricide-12B-Unslop-Mell/16052a72-b235-47df-ac4c-fe54e49b9131.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/redrix_patricide-12B-Unslop-Mell/1762652580.4937751",
-  "retrieved_timestamp": "1762652580.4937768",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "redrix/patricide-12B-Unslop-Mell",
-    "developer": "redrix",
-    "inference_platform": "unknown",
-    "id": "redrix/patricide-12B-Unslop-Mell",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 12.248
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.40739016919551235
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5398666865853622
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.13141993957703926
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3238255033557047
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4025833333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3570478723404255
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/redrix/patricide-12B-Unslop-Mell/4b30f11e-a2b9-40e9-b080-9d7484a5d048.json b/data/hfopenllm_v2/redrix/patricide-12B-Unslop-Mell/4b30f11e-a2b9-40e9-b080-9d7484a5d048.json
new file mode 100644
index 000000000..98a7c58db
--- /dev/null
+++ b/data/hfopenllm_v2/redrix/patricide-12B-Unslop-Mell/4b30f11e-a2b9-40e9-b080-9d7484a5d048.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/redrix_patricide-12B-Unslop-Mell/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "patricide-12B-Unslop-Mell",
+    "id": "redrix/patricide-12B-Unslop-Mell",
+    "developer": "redrix",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 12.248
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4074
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5399
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1314
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3238
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4026
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.357
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/refuelai/Llama-3-Refueled/befdae09-4caa-4996-a3ac-fe36310aaf01.json b/data/hfopenllm_v2/refuelai/Llama-3-Refueled/befdae09-4caa-4996-a3ac-fe36310aaf01.json
new file mode 100644
index 000000000..d68f26a1b
--- /dev/null
+++ b/data/hfopenllm_v2/refuelai/Llama-3-Refueled/befdae09-4caa-4996-a3ac-fe36310aaf01.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/refuelai_Llama-3-Refueled/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-3-Refueled",
+    "id": "refuelai/Llama-3-Refueled",
+    "developer": "refuelai",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.462
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5871
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0665
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2995
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4454
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3095
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/rhplus0831/maid-yuzu-v7/65e47b2d-982b-4fa8-b5bf-e002cf3cc293.json b/data/hfopenllm_v2/rhplus0831/maid-yuzu-v7/65e47b2d-982b-4fa8-b5bf-e002cf3cc293.json
deleted file mode 100644
index 97ac7b61c..000000000
--- a/data/hfopenllm_v2/rhplus0831/maid-yuzu-v7/65e47b2d-982b-4fa8-b5bf-e002cf3cc293.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/rhplus0831_maid-yuzu-v7/1762652580.494505",
-  "retrieved_timestamp": "1762652580.494506",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "rhplus0831/maid-yuzu-v7",
-    "developer": "rhplus0831",
-    "inference_platform": "unknown",
-    "id": "rhplus0831/maid-yuzu-v7",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MixtralForCausalLM",
-      "params_billions": 46.703
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6462430794735745
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.480491692312673
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.10196374622356495
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30956375838926176
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41362499999999996
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.35397273936170215
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/rhplus0831/maid-yuzu-v7/8cd7fc1b-2873-4154-9de7-c0b8e5f4f5e9.json b/data/hfopenllm_v2/rhplus0831/maid-yuzu-v7/8cd7fc1b-2873-4154-9de7-c0b8e5f4f5e9.json
new file mode 100644
index 000000000..92de2faa1
--- /dev/null
+++ b/data/hfopenllm_v2/rhplus0831/maid-yuzu-v7/8cd7fc1b-2873-4154-9de7-c0b8e5f4f5e9.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/rhplus0831_maid-yuzu-v7/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "maid-yuzu-v7",
+    "id": "rhplus0831/maid-yuzu-v7",
+    "developer": "rhplus0831",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MixtralForCausalLM",
+      "params_billions": 46.703
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6462
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4805
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.102
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3096
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4136
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.354
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/rhymes-ai/Aria/611c449e-3d86-4dea-94a8-a2b7719fa1ae.json b/data/hfopenllm_v2/rhymes-ai/Aria/611c449e-3d86-4dea-94a8-a2b7719fa1ae.json
deleted file mode 100644
index e4cf4e522..000000000
--- a/data/hfopenllm_v2/rhymes-ai/Aria/611c449e-3d86-4dea-94a8-a2b7719fa1ae.json
+++ /dev/null
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new file mode 100644
index 000000000..f9084404d
--- /dev/null
+++ b/data/hfopenllm_v2/rhymes-ai/Aria/7f6e5858-f5d4-41cf-9bb7-c3c82a55c392.json
@@ -0,0 +1,132 @@
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+        "hf_repo": "TAUR-Lab/MuSR"
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/rhysjones/phi-2-orange-v2/7b8bf84f-4101-41a1-b6ff-9cadbb5f84a3.json b/data/hfopenllm_v2/rhysjones/phi-2-orange-v2/7b8bf84f-4101-41a1-b6ff-9cadbb5f84a3.json
new file mode 100644
index 000000000..c708415c7
--- /dev/null
+++ b/data/hfopenllm_v2/rhysjones/phi-2-orange-v2/7b8bf84f-4101-41a1-b6ff-9cadbb5f84a3.json
@@ -0,0 +1,132 @@
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+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/riaz/FineLlama-3.1-8B/1f3a733d-a6d3-453b-9763-61992cd514b0.json b/data/hfopenllm_v2/riaz/FineLlama-3.1-8B/1f3a733d-a6d3-453b-9763-61992cd514b0.json
new file mode 100644
index 000000000..8ee7040c9
--- /dev/null
+++ b/data/hfopenllm_v2/riaz/FineLlama-3.1-8B/1f3a733d-a6d3-453b-9763-61992cd514b0.json
@@ -0,0 +1,132 @@
+{
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+    "source_type": "documentation",
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/riaz/FineLlama-3.1-8B/d0eed3c1-2226-48c5-a314-e429f66c5053.json b/data/hfopenllm_v2/riaz/FineLlama-3.1-8B/d0eed3c1-2226-48c5-a314-e429f66c5053.json
new file mode 100644
index 000000000..d57a902b6
--- /dev/null
+++ b/data/hfopenllm_v2/riaz/FineLlama-3.1-8B/d0eed3c1-2226-48c5-a314-e429f66c5053.json
@@ -0,0 +1,132 @@
+{
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+    "source_type": "documentation",
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+        "hf_repo": "SaylorTwift/bbh"
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+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
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+        "evaluation_description": "Exact Match on MATH Level 5",
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+        "score_type": "continuous",
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+        "lower_is_better": false,
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
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+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/rmdhirr/Gluon-8B/957f02f1-45c7-4cce-b5aa-86bb5e485ad3.json b/data/hfopenllm_v2/rmdhirr/Gluon-8B/957f02f1-45c7-4cce-b5aa-86bb5e485ad3.json
new file mode 100644
index 000000000..37d3c1fbe
--- /dev/null
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/rmdhirr/Gluon-8B/a1f5e06b-17f7-41d1-ab9d-c0e4b22d10cf.json b/data/hfopenllm_v2/rmdhirr/Gluon-8B/a1f5e06b-17f7-41d1-ab9d-c0e4b22d10cf.json
deleted file mode 100644
index 80a28bb1d..000000000
--- a/data/hfopenllm_v2/rmdhirr/Gluon-8B/a1f5e06b-17f7-41d1-ab9d-c0e4b22d10cf.json
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diff --git a/data/hfopenllm_v2/rombodawg/Rombos-Coder-V2.5-Qwen-14b/55a01e8e-318a-4609-a862-bab4d62b3e7a.json b/data/hfopenllm_v2/rombodawg/Rombos-Coder-V2.5-Qwen-14b/55a01e8e-318a-4609-a862-bab4d62b3e7a.json
new file mode 100644
index 000000000..c74361cf2
--- /dev/null
+++ b/data/hfopenllm_v2/rombodawg/Rombos-Coder-V2.5-Qwen-14b/55a01e8e-318a-4609-a862-bab4d62b3e7a.json
@@ -0,0 +1,132 @@
+{
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+    "id": "rombodawg/Rombos-Coder-V2.5-Qwen-14b",
+    "developer": "rombodawg",
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/rombodawg/Rombos-Coder-V2.5-Qwen-7b/cbdcd76f-be8f-42fe-89ed-d1d09d9d785f.json b/data/hfopenllm_v2/rombodawg/Rombos-Coder-V2.5-Qwen-7b/cbdcd76f-be8f-42fe-89ed-d1d09d9d785f.json
new file mode 100644
index 000000000..e153878a8
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@@ -0,0 +1,132 @@
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+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
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+        "hf_repo": "Idavidrein/gpqa"
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+        "hf_repo": "TAUR-Lab/MuSR"
+      },
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+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/rombodawg/Rombos-LLM-V2.5-Qwen-0.5b/c7b6515e-6f96-468b-8bc0-15212c31e790.json b/data/hfopenllm_v2/rombodawg/Rombos-LLM-V2.5-Qwen-0.5b/c7b6515e-6f96-468b-8bc0-15212c31e790.json
new file mode 100644
index 000000000..65683c672
--- /dev/null
+++ b/data/hfopenllm_v2/rombodawg/Rombos-LLM-V2.5-Qwen-0.5b/c7b6515e-6f96-468b-8bc0-15212c31e790.json
@@ -0,0 +1,132 @@
+{
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+  "source_metadata": {
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+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
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+  "model_info": {
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+    "id": "rombodawg/Rombos-LLM-V2.5-Qwen-0.5b",
+    "developer": "rombodawg",
+    "inference_platform": "unknown",
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/rombodawg/Rombos-LLM-V2.5-Qwen-1.5b/f27f3a1d-c19a-42b2-8b49-64ecfe5d3405.json b/data/hfopenllm_v2/rombodawg/Rombos-LLM-V2.5-Qwen-1.5b/f27f3a1d-c19a-42b2-8b49-64ecfe5d3405.json
new file mode 100644
index 000000000..c6d4a9338
--- /dev/null
+++ b/data/hfopenllm_v2/rombodawg/Rombos-LLM-V2.5-Qwen-1.5b/f27f3a1d-c19a-42b2-8b49-64ecfe5d3405.json
@@ -0,0 +1,132 @@
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/rombodawg/Rombos-LLM-V2.5-Qwen-14b/994aa481-627a-4bed-8719-9e874373cbc6.json b/data/hfopenllm_v2/rombodawg/Rombos-LLM-V2.5-Qwen-14b/994aa481-627a-4bed-8719-9e874373cbc6.json
new file mode 100644
index 000000000..85be3f982
--- /dev/null
+++ b/data/hfopenllm_v2/rombodawg/Rombos-LLM-V2.5-Qwen-14b/994aa481-627a-4bed-8719-9e874373cbc6.json
@@ -0,0 +1,132 @@
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/rombodawg/Rombos-LLM-V2.5-Qwen-32b/9f5cd849-20b1-4e8d-9deb-f286dcfd9d6e.json b/data/hfopenllm_v2/rombodawg/Rombos-LLM-V2.5-Qwen-32b/9f5cd849-20b1-4e8d-9deb-f286dcfd9d6e.json
new file mode 100644
index 000000000..85c6ec04a
--- /dev/null
+++ b/data/hfopenllm_v2/rombodawg/Rombos-LLM-V2.5-Qwen-32b/9f5cd849-20b1-4e8d-9deb-f286dcfd9d6e.json
@@ -0,0 +1,132 @@
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/rombodawg/Rombos-LLM-V2.5-Qwen-3b/c4dd34f2-7acc-4a94-a9aa-3c6aeeae8a8c.json b/data/hfopenllm_v2/rombodawg/Rombos-LLM-V2.5-Qwen-3b/c4dd34f2-7acc-4a94-a9aa-3c6aeeae8a8c.json
new file mode 100644
index 000000000..272c24433
--- /dev/null
+++ b/data/hfopenllm_v2/rombodawg/Rombos-LLM-V2.5-Qwen-3b/c4dd34f2-7acc-4a94-a9aa-3c6aeeae8a8c.json
@@ -0,0 +1,132 @@
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/rombodawg/Rombos-LLM-V2.5-Qwen-72b/e908b473-a015-4156-8e88-d67153479cb9.json b/data/hfopenllm_v2/rombodawg/Rombos-LLM-V2.5-Qwen-72b/e908b473-a015-4156-8e88-d67153479cb9.json
new file mode 100644
index 000000000..04db7b85b
--- /dev/null
+++ b/data/hfopenllm_v2/rombodawg/Rombos-LLM-V2.5-Qwen-72b/e908b473-a015-4156-8e88-d67153479cb9.json
@@ -0,0 +1,132 @@
+{
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+    {
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+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+        "score": 0.3985
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4599
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5935
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/rombodawg/Rombos-LLM-V2.5-Qwen-7b/173af77d-7a51-4d5a-8fd3-366aaa5d78a0.json b/data/hfopenllm_v2/rombodawg/Rombos-LLM-V2.5-Qwen-7b/173af77d-7a51-4d5a-8fd3-366aaa5d78a0.json
new file mode 100644
index 000000000..5fba641ae
--- /dev/null
+++ b/data/hfopenllm_v2/rombodawg/Rombos-LLM-V2.5-Qwen-7b/173af77d-7a51-4d5a-8fd3-366aaa5d78a0.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/rombodawg_Rombos-LLM-V2.5-Qwen-7b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Rombos-LLM-V2.5-Qwen-7b",
+    "id": "rombodawg/Rombos-LLM-V2.5-Qwen-7b",
+    "developer": "rombodawg",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6237
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5544
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3814
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.318
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4291
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4469
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/rombodawg/Rombos-LLM-V2.5.1-Qwen-3b/0bb65f09-323d-485f-886e-5a35c8bcd342.json b/data/hfopenllm_v2/rombodawg/Rombos-LLM-V2.5.1-Qwen-3b/0bb65f09-323d-485f-886e-5a35c8bcd342.json
new file mode 100644
index 000000000..18b32860b
--- /dev/null
+++ b/data/hfopenllm_v2/rombodawg/Rombos-LLM-V2.5.1-Qwen-3b/0bb65f09-323d-485f-886e-5a35c8bcd342.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/rombodawg_Rombos-LLM-V2.5.1-Qwen-3b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Rombos-LLM-V2.5.1-Qwen-3b",
+    "id": "rombodawg/Rombos-LLM-V2.5.1-Qwen-3b",
+    "developer": "rombodawg",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 3.397
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2566
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.39
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1208
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2626
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3991
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2741
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/rombodawg/Rombos-LLM-V2.5.1-Qwen-3b/86b4c877-ef2d-4563-93a2-92d7e77eab5c.json b/data/hfopenllm_v2/rombodawg/Rombos-LLM-V2.5.1-Qwen-3b/86b4c877-ef2d-4563-93a2-92d7e77eab5c.json
new file mode 100644
index 000000000..df1c02b1d
--- /dev/null
+++ b/data/hfopenllm_v2/rombodawg/Rombos-LLM-V2.5.1-Qwen-3b/86b4c877-ef2d-4563-93a2-92d7e77eab5c.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/rombodawg_Rombos-LLM-V2.5.1-Qwen-3b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Rombos-LLM-V2.5.1-Qwen-3b",
+    "id": "rombodawg/Rombos-LLM-V2.5.1-Qwen-3b",
+    "developer": "rombodawg",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 3.397
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2595
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3884
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0914
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2743
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3991
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2719
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/rombodawg/Rombos-LLM-V2.6-Nemotron-70b/be2ee3f6-37ee-4895-821a-3d3c7eb04eac.json b/data/hfopenllm_v2/rombodawg/Rombos-LLM-V2.6-Nemotron-70b/be2ee3f6-37ee-4895-821a-3d3c7eb04eac.json
new file mode 100644
index 000000000..945721456
--- /dev/null
+++ b/data/hfopenllm_v2/rombodawg/Rombos-LLM-V2.6-Nemotron-70b/be2ee3f6-37ee-4895-821a-3d3c7eb04eac.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/rombodawg_Rombos-LLM-V2.6-Nemotron-70b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Rombos-LLM-V2.6-Nemotron-70b",
+    "id": "rombodawg/Rombos-LLM-V2.6-Nemotron-70b",
+    "developer": "rombodawg",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 70.554
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7527
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6938
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3331
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.406
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4669
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5329
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/rombodawg/Rombos-LLM-V2.6-Nemotron-70b/caf5de06-ab13-45e4-ac51-d4e40796952e.json b/data/hfopenllm_v2/rombodawg/Rombos-LLM-V2.6-Nemotron-70b/caf5de06-ab13-45e4-ac51-d4e40796952e.json
deleted file mode 100644
index 4e74d60db..000000000
--- a/data/hfopenllm_v2/rombodawg/Rombos-LLM-V2.6-Nemotron-70b/caf5de06-ab13-45e4-ac51-d4e40796952e.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/rombodawg_Rombos-LLM-V2.6-Nemotron-70b/1762652580.499233",
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diff --git a/data/hfopenllm_v2/rombodawg/Rombos-LLM-V2.6-Qwen-14b/e574af17-dd3b-4c09-8689-ea598d44e562.json b/data/hfopenllm_v2/rombodawg/Rombos-LLM-V2.6-Qwen-14b/e574af17-dd3b-4c09-8689-ea598d44e562.json
new file mode 100644
index 000000000..a382429d5
--- /dev/null
+++ b/data/hfopenllm_v2/rombodawg/Rombos-LLM-V2.6-Qwen-14b/e574af17-dd3b-4c09-8689-ea598d44e562.json
@@ -0,0 +1,132 @@
+{
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+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Rombos-LLM-V2.6-Qwen-14b",
+    "id": "rombodawg/Rombos-LLM-V2.6-Qwen-14b",
+    "developer": "rombodawg",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.77
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
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+      },
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+    {
+      "evaluation_name": "BBH",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
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+        "max_score": 1.0
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+    },
+    {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
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+    {
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+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+      }
+    },
+    {
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+        "hf_repo": "TAUR-Lab/MuSR"
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+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+        "score": 0.4221
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+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
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+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/rombodawg/rombos_Replete-Coder-Instruct-8b-Merged/83958185-047a-4356-918d-2f45f273c08a.json b/data/hfopenllm_v2/rombodawg/rombos_Replete-Coder-Instruct-8b-Merged/83958185-047a-4356-918d-2f45f273c08a.json
new file mode 100644
index 000000000..3c606dff2
--- /dev/null
+++ b/data/hfopenllm_v2/rombodawg/rombos_Replete-Coder-Instruct-8b-Merged/83958185-047a-4356-918d-2f45f273c08a.json
@@ -0,0 +1,132 @@
+{
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+  "evaluation_id": "hfopenllm_v2/rombodawg_rombos_Replete-Coder-Instruct-8b-Merged/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "rombos_Replete-Coder-Instruct-8b-Merged",
+    "id": "rombodawg/rombos_Replete-Coder-Instruct-8b-Merged",
+    "developer": "rombodawg",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5388
+      }
+    },
+    {
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+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4462
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+      "evaluation_name": "GPQA",
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
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+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+    {
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+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "max_score": 1.0
+      },
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+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/rombodawg/rombos_Replete-Coder-Instruct-8b-Merged/929abd2b-3f19-4df3-81ab-406751d52919.json b/data/hfopenllm_v2/rombodawg/rombos_Replete-Coder-Instruct-8b-Merged/929abd2b-3f19-4df3-81ab-406751d52919.json
deleted file mode 100644
index 75c6acd19..000000000
--- a/data/hfopenllm_v2/rombodawg/rombos_Replete-Coder-Instruct-8b-Merged/929abd2b-3f19-4df3-81ab-406751d52919.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-    "name": "rombodawg/rombos_Replete-Coder-Instruct-8b-Merged",
-    "developer": "rombodawg",
-    "inference_platform": "unknown",
-    "id": "rombodawg/rombos_Replete-Coder-Instruct-8b-Merged",
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-    },
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-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.36603125
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
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-}
diff --git a/data/hfopenllm_v2/rombodawg/rombos_Replete-Coder-Llama3-8B/d04c6e84-0b63-4de1-9278-aa37c9d2c8e3.json b/data/hfopenllm_v2/rombodawg/rombos_Replete-Coder-Llama3-8B/d04c6e84-0b63-4de1-9278-aa37c9d2c8e3.json
new file mode 100644
index 000000000..c4f4fe486
--- /dev/null
+++ b/data/hfopenllm_v2/rombodawg/rombos_Replete-Coder-Llama3-8B/d04c6e84-0b63-4de1-9278-aa37c9d2c8e3.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/rombodawg_rombos_Replete-Coder-Llama3-8B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "rombos_Replete-Coder-Llama3-8B",
+    "id": "rombodawg/rombos_Replete-Coder-Llama3-8B",
+    "developer": "rombodawg",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4714
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3276
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0393
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2668
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3966
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1335
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/rootxhacker/Apollo-70B/14421b7b-6f4d-4b4f-91e1-27a9c0919498.json b/data/hfopenllm_v2/rootxhacker/Apollo-70B/14421b7b-6f4d-4b4f-91e1-27a9c0919498.json
deleted file mode 100644
index 4c7bf262f..000000000
--- a/data/hfopenllm_v2/rootxhacker/Apollo-70B/14421b7b-6f4d-4b4f-91e1-27a9c0919498.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/rootxhacker_Apollo-70B/1762652580.500333",
-  "retrieved_timestamp": "1762652580.500333",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
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-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "rootxhacker/Apollo-70B",
-    "developer": "rootxhacker",
-    "inference_platform": "unknown",
-    "id": "rootxhacker/Apollo-70B",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 70.554
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5098560707810831
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6804215148524603
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5611782477341389
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.45721476510067116
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4947708333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5279255319148937
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/rootxhacker/Apollo-70B/a218e260-7f56-4676-af58-254bd84d0327.json b/data/hfopenllm_v2/rootxhacker/Apollo-70B/a218e260-7f56-4676-af58-254bd84d0327.json
new file mode 100644
index 000000000..c04a8ad40
--- /dev/null
+++ b/data/hfopenllm_v2/rootxhacker/Apollo-70B/a218e260-7f56-4676-af58-254bd84d0327.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/rootxhacker_Apollo-70B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Apollo-70B",
+    "id": "rootxhacker/Apollo-70B",
+    "developer": "rootxhacker",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 70.554
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5099
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6804
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5612
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4572
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4948
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5279
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/rootxhacker/Apollo_v2-32B/2a3e824e-8fb2-41ac-b548-30ea18ecdceb.json b/data/hfopenllm_v2/rootxhacker/Apollo_v2-32B/2a3e824e-8fb2-41ac-b548-30ea18ecdceb.json
deleted file mode 100644
index 4f0c116a8..000000000
--- a/data/hfopenllm_v2/rootxhacker/Apollo_v2-32B/2a3e824e-8fb2-41ac-b548-30ea18ecdceb.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/rootxhacker_Apollo_v2-32B/1762652580.500606",
-  "retrieved_timestamp": "1762652580.500606",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "rootxhacker/Apollo_v2-32B",
-    "developer": "rootxhacker",
-    "inference_platform": "unknown",
-    "id": "rootxhacker/Apollo_v2-32B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 32.764
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4280486885907171
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7072274795963693
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42749244712990936
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3783557046979866
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4993854166666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5869348404255319
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/rootxhacker/Apollo_v2-32B/f21fb2c8-4abe-40de-ab2c-9d23e95ee281.json b/data/hfopenllm_v2/rootxhacker/Apollo_v2-32B/f21fb2c8-4abe-40de-ab2c-9d23e95ee281.json
new file mode 100644
index 000000000..c4804ceaf
--- /dev/null
+++ b/data/hfopenllm_v2/rootxhacker/Apollo_v2-32B/f21fb2c8-4abe-40de-ab2c-9d23e95ee281.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/rootxhacker_Apollo_v2-32B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Apollo_v2-32B",
+    "id": "rootxhacker/Apollo_v2-32B",
+    "developer": "rootxhacker",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 32.764
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.428
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7072
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4275
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3784
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4994
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5869
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/rootxhacker/apollo-7B/ce364468-f5ef-4a29-8026-89e455fa4350.json b/data/hfopenllm_v2/rootxhacker/apollo-7B/ce364468-f5ef-4a29-8026-89e455fa4350.json
deleted file mode 100644
index b9548dce8..000000000
--- a/data/hfopenllm_v2/rootxhacker/apollo-7B/ce364468-f5ef-4a29-8026-89e455fa4350.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/rootxhacker_apollo-7B/1762652580.500841",
-  "retrieved_timestamp": "1762652580.500842",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "rootxhacker/apollo-7B",
-    "developer": "rootxhacker",
-    "inference_platform": "unknown",
-    "id": "rootxhacker/apollo-7B",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.616
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.29533304964161755
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3636262699883149
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.0256797583081571
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2785234899328859
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41312499999999996
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.17478390957446807
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/rootxhacker/apollo-7B/da5774b2-8a6f-4f2d-8267-beb25490b06a.json b/data/hfopenllm_v2/rootxhacker/apollo-7B/da5774b2-8a6f-4f2d-8267-beb25490b06a.json
new file mode 100644
index 000000000..eac1bfc10
--- /dev/null
+++ b/data/hfopenllm_v2/rootxhacker/apollo-7B/da5774b2-8a6f-4f2d-8267-beb25490b06a.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/rootxhacker_apollo-7B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "apollo-7B",
+    "id": "rootxhacker/apollo-7B",
+    "developer": "rootxhacker",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2953
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3636
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0257
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2785
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4131
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1748
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/rsh345/mistral-ft-optimized-1218-NeuralHermes-2.5-Mistral-7B/18284816-2f69-41c5-8cf3-5209ed77cb7d.json b/data/hfopenllm_v2/rsh345/mistral-ft-optimized-1218-NeuralHermes-2.5-Mistral-7B/18284816-2f69-41c5-8cf3-5209ed77cb7d.json
deleted file mode 100644
index 0f73c3302..000000000
--- a/data/hfopenllm_v2/rsh345/mistral-ft-optimized-1218-NeuralHermes-2.5-Mistral-7B/18284816-2f69-41c5-8cf3-5209ed77cb7d.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/rsh345_mistral-ft-optimized-1218-NeuralHermes-2.5-Mistral-7B/1762652580.501065",
-  "retrieved_timestamp": "1762652580.501066",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "rsh345/mistral-ft-optimized-1218-NeuralHermes-2.5-Mistral-7B",
-    "developer": "rsh345",
-    "inference_platform": "unknown",
-    "id": "rsh345/mistral-ft-optimized-1218-NeuralHermes-2.5-Mistral-7B",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3891807071902552
-      }
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-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.07326283987915408
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3028523489932886
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.46719791666666666
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30535239361702127
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/rsh345/mistral-ft-optimized-1218-NeuralHermes-2.5-Mistral-7B/274705bd-8eb6-4863-8998-f5d67c4ac827.json b/data/hfopenllm_v2/rsh345/mistral-ft-optimized-1218-NeuralHermes-2.5-Mistral-7B/274705bd-8eb6-4863-8998-f5d67c4ac827.json
new file mode 100644
index 000000000..cf9929e17
--- /dev/null
+++ b/data/hfopenllm_v2/rsh345/mistral-ft-optimized-1218-NeuralHermes-2.5-Mistral-7B/274705bd-8eb6-4863-8998-f5d67c4ac827.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/rsh345_mistral-ft-optimized-1218-NeuralHermes-2.5-Mistral-7B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "mistral-ft-optimized-1218-NeuralHermes-2.5-Mistral-7B",
+    "id": "rsh345/mistral-ft-optimized-1218-NeuralHermes-2.5-Mistral-7B",
+    "developer": "rsh345",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3892
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5188
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0733
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3029
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4672
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3054
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/rubenroy/Geneva-12B-GCv2-5m/5b95cc2f-3378-45e7-9f56-6bb7e1ce4826.json b/data/hfopenllm_v2/rubenroy/Geneva-12B-GCv2-5m/5b95cc2f-3378-45e7-9f56-6bb7e1ce4826.json
new file mode 100644
index 000000000..ca4143a6b
--- /dev/null
+++ b/data/hfopenllm_v2/rubenroy/Geneva-12B-GCv2-5m/5b95cc2f-3378-45e7-9f56-6bb7e1ce4826.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/rubenroy_Geneva-12B-GCv2-5m/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Geneva-12B-GCv2-5m",
+    "id": "rubenroy/Geneva-12B-GCv2-5m",
+    "developer": "rubenroy",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 12.248
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2586
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5278
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0801
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2878
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3525
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.325
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/rubenroy/Geneva-12B-GCv2-5m/e6649e50-54ba-4788-a3b4-5aa3d6e8aed8.json b/data/hfopenllm_v2/rubenroy/Geneva-12B-GCv2-5m/e6649e50-54ba-4788-a3b4-5aa3d6e8aed8.json
deleted file mode 100644
index 5546e08ba..000000000
--- a/data/hfopenllm_v2/rubenroy/Geneva-12B-GCv2-5m/e6649e50-54ba-4788-a3b4-5aa3d6e8aed8.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/rubenroy_Geneva-12B-GCv2-5m/1762652580.501345",
-  "retrieved_timestamp": "1762652580.501346",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "rubenroy/Geneva-12B-GCv2-5m",
-    "developer": "rubenroy",
-    "inference_platform": "unknown",
-    "id": "rubenroy/Geneva-12B-GCv2-5m",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 12.248
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2586381911106974
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5278373390214104
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.08006042296072508
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.287751677852349
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3524791666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3249667553191489
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/rubenroy/Gilgamesh-72B/6918d1a3-e547-46b7-9062-274057c1f513.json b/data/hfopenllm_v2/rubenroy/Gilgamesh-72B/6918d1a3-e547-46b7-9062-274057c1f513.json
new file mode 100644
index 000000000..5a7ac28c6
--- /dev/null
+++ b/data/hfopenllm_v2/rubenroy/Gilgamesh-72B/6918d1a3-e547-46b7-9062-274057c1f513.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/rubenroy_Gilgamesh-72B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Gilgamesh-72B",
+    "id": "rubenroy/Gilgamesh-72B",
+    "developer": "rubenroy",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 72.706
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.8486
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7253
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4381
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3943
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4626
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5802
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/rubenroy/Gilgamesh-72B/b577bd26-a9f9-4a50-bd2b-f47bc5222748.json b/data/hfopenllm_v2/rubenroy/Gilgamesh-72B/b577bd26-a9f9-4a50-bd2b-f47bc5222748.json
deleted file mode 100644
index bed93c1c8..000000000
--- a/data/hfopenllm_v2/rubenroy/Gilgamesh-72B/b577bd26-a9f9-4a50-bd2b-f47bc5222748.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/rubenroy_Gilgamesh-72B/1762652580.5016088",
-  "retrieved_timestamp": "1762652580.5016088",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "rubenroy/Gilgamesh-72B",
-    "developer": "rubenroy",
-    "inference_platform": "unknown",
-    "id": "rubenroy/Gilgamesh-72B",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 72.706
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.8486006019583594
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7253327589560739
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4380664652567976
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.39429530201342283
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.46264583333333337
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5802027925531915
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/rubenroy/Zurich-14B-GCv2-5m/599deb3c-49f9-4c0b-af8d-78f9e166820b.json b/data/hfopenllm_v2/rubenroy/Zurich-14B-GCv2-5m/599deb3c-49f9-4c0b-af8d-78f9e166820b.json
new file mode 100644
index 000000000..fc4afde1a
--- /dev/null
+++ b/data/hfopenllm_v2/rubenroy/Zurich-14B-GCv2-5m/599deb3c-49f9-4c0b-af8d-78f9e166820b.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/rubenroy_Zurich-14B-GCv2-5m/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Zurich-14B-GCv2-5m",
+    "id": "rubenroy/Zurich-14B-GCv2-5m",
+    "developer": "rubenroy",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.77
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6164
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6308
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3074
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3616
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4874
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5233
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/rubenroy/Zurich-14B-GCv2-5m/f9dca394-e108-48f3-a45d-a282f7b39098.json b/data/hfopenllm_v2/rubenroy/Zurich-14B-GCv2-5m/f9dca394-e108-48f3-a45d-a282f7b39098.json
deleted file mode 100644
index 6afe6ef09..000000000
--- a/data/hfopenllm_v2/rubenroy/Zurich-14B-GCv2-5m/f9dca394-e108-48f3-a45d-a282f7b39098.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/rubenroy_Zurich-14B-GCv2-5m/1762652580.5018299",
-  "retrieved_timestamp": "1762652580.5018299",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "rubenroy/Zurich-14B-GCv2-5m",
-    "developer": "rubenroy",
-    "inference_platform": "unknown",
-    "id": "rubenroy/Zurich-14B-GCv2-5m",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 14.77
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6163679038285084
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6308359017750411
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3074018126888218
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3615771812080537
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4874479166666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5232712765957447
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/ruizhe1217/sft-s1-qwen-0.5b/b4ea3f14-3787-434b-8f26-20ff640c0146.json b/data/hfopenllm_v2/ruizhe1217/sft-s1-qwen-0.5b/b4ea3f14-3787-434b-8f26-20ff640c0146.json
new file mode 100644
index 000000000..739248056
--- /dev/null
+++ b/data/hfopenllm_v2/ruizhe1217/sft-s1-qwen-0.5b/b4ea3f14-3787-434b-8f26-20ff640c0146.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/ruizhe1217_sft-s1-qwen-0.5b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "sft-s1-qwen-0.5b",
+    "id": "ruizhe1217/sft-s1-qwen-0.5b",
+    "developer": "ruizhe1217",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 0.494
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2749
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3301
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0619
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.271
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3196
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1892
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/ruizhe1217/sft-s1-qwen-0.5b/fd0e4ea3-ed10-487d-85d7-df5669bc8edc.json b/data/hfopenllm_v2/ruizhe1217/sft-s1-qwen-0.5b/fd0e4ea3-ed10-487d-85d7-df5669bc8edc.json
deleted file mode 100644
index 59f76d592..000000000
--- a/data/hfopenllm_v2/ruizhe1217/sft-s1-qwen-0.5b/fd0e4ea3-ed10-487d-85d7-df5669bc8edc.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/ruizhe1217_sft-s1-qwen-0.5b/1762652580.502058",
-  "retrieved_timestamp": "1762652580.502059",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "ruizhe1217/sft-s1-qwen-0.5b",
-    "developer": "ruizhe1217",
-    "inference_platform": "unknown",
-    "id": "ruizhe1217/sft-s1-qwen-0.5b",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 0.494
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.27487510915482033
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.33005365550588683
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.061933534743202415
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.27097315436241615
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.31958333333333333
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-    },
-    {
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-      "metric_config": {
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diff --git a/data/hfopenllm_v2/rwitz/go-bruins-v2/2f6a8cce-672f-4634-99ed-9d42df9cd26c.json b/data/hfopenllm_v2/rwitz/go-bruins-v2/2f6a8cce-672f-4634-99ed-9d42df9cd26c.json
deleted file mode 100644
index 0d6068f12..000000000
--- a/data/hfopenllm_v2/rwitz/go-bruins-v2/2f6a8cce-672f-4634-99ed-9d42df9cd26c.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/rwitz_go-bruins-v2/1762652580.5023239",
-  "retrieved_timestamp": "1762652580.502325",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "rwitz/go-bruins-v2",
-    "developer": "rwitz",
-    "inference_platform": "unknown",
-    "id": "rwitz/go-bruins-v2",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
-        "score": 0.40958877999264176
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-    {
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-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
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-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-      "score_details": {
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-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
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-        "max_score": 1
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-      "score_details": {
-        "score": 0.2625838926174497
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41375
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2760970744680851
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/rwitz/go-bruins-v2/6952c527-ca23-494a-910c-1c027e4a5a29.json b/data/hfopenllm_v2/rwitz/go-bruins-v2/6952c527-ca23-494a-910c-1c027e4a5a29.json
new file mode 100644
index 000000000..9ab1d084b
--- /dev/null
+++ b/data/hfopenllm_v2/rwitz/go-bruins-v2/6952c527-ca23-494a-910c-1c027e4a5a29.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/rwitz_go-bruins-v2/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "go-bruins-v2",
+    "id": "rwitz/go-bruins-v2",
+    "developer": "rwitz",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4096
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3799
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0672
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2626
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4138
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2761
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/sabersaleh/Llama2-7B-CPO/3f12e79c-dd1b-428d-9094-10a047205e3e.json b/data/hfopenllm_v2/sabersaleh/Llama2-7B-CPO/3f12e79c-dd1b-428d-9094-10a047205e3e.json
new file mode 100644
index 000000000..63c7d223e
--- /dev/null
+++ b/data/hfopenllm_v2/sabersaleh/Llama2-7B-CPO/3f12e79c-dd1b-428d-9094-10a047205e3e.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/sabersaleh_Llama2-7B-CPO/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama2-7B-CPO",
+    "id": "sabersaleh/Llama2-7B-CPO",
+    "developer": "sabersaleh",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 7.0
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1545
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3458
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0136
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2676
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4048
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1606
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/sabersaleh/Llama2-7B-DPO/c2ffce0d-069d-48bb-989c-6fb18bdd9059.json b/data/hfopenllm_v2/sabersaleh/Llama2-7B-DPO/c2ffce0d-069d-48bb-989c-6fb18bdd9059.json
deleted file mode 100644
index 24dbb643d..000000000
--- a/data/hfopenllm_v2/sabersaleh/Llama2-7B-DPO/c2ffce0d-069d-48bb-989c-6fb18bdd9059.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/sabersaleh_Llama2-7B-DPO/1762652580.50325",
-  "retrieved_timestamp": "1762652580.503252",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "sabersaleh/Llama2-7B-DPO",
-    "developer": "sabersaleh",
-    "inference_platform": "unknown",
-    "id": "sabersaleh/Llama2-7B-DPO",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 7.0
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.14533105493424114
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3512218731420535
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.015861027190332326
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2684563758389262
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4113645833333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.16256648936170212
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/sabersaleh/Llama2-7B-DPO/d508da29-0288-4a0a-b727-fc5355515c5e.json b/data/hfopenllm_v2/sabersaleh/Llama2-7B-DPO/d508da29-0288-4a0a-b727-fc5355515c5e.json
new file mode 100644
index 000000000..86e3966a1
--- /dev/null
+++ b/data/hfopenllm_v2/sabersaleh/Llama2-7B-DPO/d508da29-0288-4a0a-b727-fc5355515c5e.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/sabersaleh_Llama2-7B-DPO/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama2-7B-DPO",
+    "id": "sabersaleh/Llama2-7B-DPO",
+    "developer": "sabersaleh",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 7.0
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1453
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3512
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0159
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2685
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4114
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1626
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/sabersaleh/Llama2-7B-IPO/48cf5a8a-70c6-4c55-8959-32d773d6dbcf.json b/data/hfopenllm_v2/sabersaleh/Llama2-7B-IPO/48cf5a8a-70c6-4c55-8959-32d773d6dbcf.json
new file mode 100644
index 000000000..2dd58f3e1
--- /dev/null
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diff --git a/data/hfopenllm_v2/sabersaleh/Llama2-7B-KTO/4bb7d331-f305-4c08-a073-87ba7b2cbde2.json b/data/hfopenllm_v2/sabersaleh/Llama2-7B-KTO/4bb7d331-f305-4c08-a073-87ba7b2cbde2.json
new file mode 100644
index 000000000..1848858c0
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diff --git a/data/hfopenllm_v2/sabersaleh/Llama2-7B-SPO/94639454-c525-4e6f-af27-d92d45a9ac40.json b/data/hfopenllm_v2/sabersaleh/Llama2-7B-SPO/94639454-c525-4e6f-af27-d92d45a9ac40.json
new file mode 100644
index 000000000..108215f39
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diff --git a/data/hfopenllm_v2/sabersaleh/Llama2-7B-SimPO/9fa81bb7-7abc-4764-9465-d61217590da5.json b/data/hfopenllm_v2/sabersaleh/Llama2-7B-SimPO/9fa81bb7-7abc-4764-9465-d61217590da5.json
new file mode 100644
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diff --git a/data/hfopenllm_v2/sabersaleh/Llama3/9a683492-4057-4de4-a30a-aa66becffb13.json b/data/hfopenllm_v2/sabersaleh/Llama3/9a683492-4057-4de4-a30a-aa66becffb13.json
new file mode 100644
index 000000000..8c46cb2b7
--- /dev/null
+++ b/data/hfopenllm_v2/sabersaleh/Llama3/9a683492-4057-4de4-a30a-aa66becffb13.json
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diff --git a/data/hfopenllm_v2/sabersalehk/Llama3-001-300/b917df45-62f2-4c3b-943a-ad6c98ef8bc1.json b/data/hfopenllm_v2/sabersalehk/Llama3-001-300/b917df45-62f2-4c3b-943a-ad6c98ef8bc1.json
new file mode 100644
index 000000000..aa57d205c
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+++ b/data/hfopenllm_v2/sabersalehk/Llama3-001-300/b917df45-62f2-4c3b-943a-ad6c98ef8bc1.json
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diff --git a/data/hfopenllm_v2/sabersalehk/Llama3-SimPO/ba658bc7-b89d-4fb7-a794-f48bd3715a49.json b/data/hfopenllm_v2/sabersalehk/Llama3-SimPO/ba658bc7-b89d-4fb7-a794-f48bd3715a49.json
new file mode 100644
index 000000000..ec3a89b1c
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+++ b/data/hfopenllm_v2/sabersalehk/Llama3-SimPO/ba658bc7-b89d-4fb7-a794-f48bd3715a49.json
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diff --git a/data/hfopenllm_v2/sabersalehk/Llama3_001_200/93f79cdc-ffd7-4299-9876-c0c7bed55ae5.json b/data/hfopenllm_v2/sabersalehk/Llama3_001_200/93f79cdc-ffd7-4299-9876-c0c7bed55ae5.json
new file mode 100644
index 000000000..71b6274f4
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diff --git a/data/hfopenllm_v2/sabersalehk/Llama3_01_300/5a91b0bf-b043-41d2-960d-5f0e78abc400.json b/data/hfopenllm_v2/sabersalehk/Llama3_01_300/5a91b0bf-b043-41d2-960d-5f0e78abc400.json
new file mode 100644
index 000000000..5ecbad865
--- /dev/null
+++ b/data/hfopenllm_v2/sabersalehk/Llama3_01_300/5a91b0bf-b043-41d2-960d-5f0e78abc400.json
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/saishf/Fimbulvetr-Kuro-Lotus-10.7B/263f56e5-b578-475a-9bc4-b5ffc142f9e2.json b/data/hfopenllm_v2/saishf/Fimbulvetr-Kuro-Lotus-10.7B/263f56e5-b578-475a-9bc4-b5ffc142f9e2.json
new file mode 100644
index 000000000..603e3b142
--- /dev/null
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/saishf/Fimbulvetr-Kuro-Lotus-10.7B/941a914d-0ca4-4896-9dfb-929c08c8651b.json b/data/hfopenllm_v2/saishf/Fimbulvetr-Kuro-Lotus-10.7B/941a914d-0ca4-4896-9dfb-929c08c8651b.json
deleted file mode 100644
index c04a0e359..000000000
--- a/data/hfopenllm_v2/saishf/Fimbulvetr-Kuro-Lotus-10.7B/941a914d-0ca4-4896-9dfb-929c08c8651b.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/saishf/Neural-SOVLish-Devil-8B-L3/9219ff66-73ba-45d8-99a0-23d23b3555ba.json b/data/hfopenllm_v2/saishf/Neural-SOVLish-Devil-8B-L3/9219ff66-73ba-45d8-99a0-23d23b3555ba.json
new file mode 100644
index 000000000..11c0ba6c8
--- /dev/null
+++ b/data/hfopenllm_v2/saishf/Neural-SOVLish-Devil-8B-L3/9219ff66-73ba-45d8-99a0-23d23b3555ba.json
@@ -0,0 +1,132 @@
+{
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+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Neural-SOVLish-Devil-8B-L3",
+    "id": "saishf/Neural-SOVLish-Devil-8B-L3",
+    "developer": "saishf",
+    "inference_platform": "unknown",
+    "additional_details": {
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+        "hf_repo": "google/IFEval"
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
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+      "source_data": {
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+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
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+        "hf_repo": "Idavidrein/gpqa"
+      },
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+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
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+        "max_score": 1.0
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+    {
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+        "hf_repo": "TAUR-Lab/MuSR"
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+        "hf_repo": "TIGER-Lab/MMLU-Pro"
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/saishf/Neural-SOVLish-Devil-8B-L3/d12855a1-81cb-4fab-b36e-dbee6c6d69a9.json b/data/hfopenllm_v2/saishf/Neural-SOVLish-Devil-8B-L3/d12855a1-81cb-4fab-b36e-dbee6c6d69a9.json
deleted file mode 100644
index 5b86a63e6..000000000
--- a/data/hfopenllm_v2/saishf/Neural-SOVLish-Devil-8B-L3/d12855a1-81cb-4fab-b36e-dbee6c6d69a9.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/saishshinde15/TethysAI_Base_Reasoning/74cb7205-e6c9-4faf-a84e-c15daa2ba62b.json b/data/hfopenllm_v2/saishshinde15/TethysAI_Base_Reasoning/74cb7205-e6c9-4faf-a84e-c15daa2ba62b.json
deleted file mode 100644
index e5b5d1074..000000000
--- a/data/hfopenllm_v2/saishshinde15/TethysAI_Base_Reasoning/74cb7205-e6c9-4faf-a84e-c15daa2ba62b.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/saishshinde15/TethysAI_Base_Reasoning/b2328396-e9b2-464d-94e4-f03db19144ea.json b/data/hfopenllm_v2/saishshinde15/TethysAI_Base_Reasoning/b2328396-e9b2-464d-94e4-f03db19144ea.json
new file mode 100644
index 000000000..75ae575a6
--- /dev/null
+++ b/data/hfopenllm_v2/saishshinde15/TethysAI_Base_Reasoning/b2328396-e9b2-464d-94e4-f03db19144ea.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/saishshinde15_TethysAI_Base_Reasoning/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "TethysAI_Base_Reasoning",
+    "id": "saishshinde15/TethysAI_Base_Reasoning",
+    "developer": "saishshinde15",
+    "inference_platform": "unknown",
+    "additional_details": {
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+      "architecture": "Qwen2ForCausalLM",
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+  "evaluation_results": [
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
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+      "metric_config": {
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+        "hf_repo": "SaylorTwift/bbh"
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+      },
+      "metric_config": {
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+      "metric_config": {
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+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
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+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
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+    {
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+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
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+        "evaluation_description": "Accuracy on MMLU-PRO",
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+      }
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/saishshinde15/TethysAI_Vortex/3f895edf-8f54-48ff-a731-666144af0fda.json b/data/hfopenllm_v2/saishshinde15/TethysAI_Vortex/3f895edf-8f54-48ff-a731-666144af0fda.json
new file mode 100644
index 000000000..ce5a5eb6e
--- /dev/null
+++ b/data/hfopenllm_v2/saishshinde15/TethysAI_Vortex/3f895edf-8f54-48ff-a731-666144af0fda.json
@@ -0,0 +1,132 @@
+{
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+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "TethysAI_Vortex",
+    "id": "saishshinde15/TethysAI_Vortex",
+    "developer": "saishshinde15",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 3.086
+    }
+  },
+  "evaluation_results": [
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
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+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+      }
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+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+        "hf_repo": "Idavidrein/gpqa"
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+        "max_score": 1.0
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "max_score": 1.0
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
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+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/saishshinde15/TethysAI_Vortex/6e20bb3a-728d-40ef-b6ca-91b0dde02da4.json b/data/hfopenllm_v2/saishshinde15/TethysAI_Vortex/6e20bb3a-728d-40ef-b6ca-91b0dde02da4.json
deleted file mode 100644
index 22534d13a..000000000
--- a/data/hfopenllm_v2/saishshinde15/TethysAI_Vortex/6e20bb3a-728d-40ef-b6ca-91b0dde02da4.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/saishshinde15/TethysAI_Vortex_Reasoning/79022531-2599-4c19-93e0-ecdbde7bf736.json b/data/hfopenllm_v2/saishshinde15/TethysAI_Vortex_Reasoning/79022531-2599-4c19-93e0-ecdbde7bf736.json
deleted file mode 100644
index f9683860e..000000000
--- a/data/hfopenllm_v2/saishshinde15/TethysAI_Vortex_Reasoning/79022531-2599-4c19-93e0-ecdbde7bf736.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-    "id": "saishshinde15/TethysAI_Vortex_Reasoning",
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-        "lower_is_better": false,
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-}
diff --git a/data/hfopenllm_v2/saishshinde15/TethysAI_Vortex_Reasoning/b48b8e16-a555-466b-8b1c-246137223311.json b/data/hfopenllm_v2/saishshinde15/TethysAI_Vortex_Reasoning/b48b8e16-a555-466b-8b1c-246137223311.json
new file mode 100644
index 000000000..5425463aa
--- /dev/null
+++ b/data/hfopenllm_v2/saishshinde15/TethysAI_Vortex_Reasoning/b48b8e16-a555-466b-8b1c-246137223311.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/saishshinde15_TethysAI_Vortex_Reasoning/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "TethysAI_Vortex_Reasoning",
+    "id": "saishshinde15/TethysAI_Vortex_Reasoning",
+    "developer": "saishshinde15",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 3.086
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
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+      },
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
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+        "max_score": 1.0
+      },
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+    },
+    {
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
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+      },
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+        "score": 0.4084
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+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3381
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/sakaltcommunity/novablast-preview/588d2387-29de-41bc-8233-674081948787.json b/data/hfopenllm_v2/sakaltcommunity/novablast-preview/588d2387-29de-41bc-8233-674081948787.json
deleted file mode 100644
index ae9f37aec..000000000
--- a/data/hfopenllm_v2/sakaltcommunity/novablast-preview/588d2387-29de-41bc-8233-674081948787.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-    "developer": "sakaltcommunity",
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diff --git a/data/hfopenllm_v2/sakaltcommunity/novablast-preview/5fdcb98f-4c50-4cdb-bd99-dd32efc6d6f3.json b/data/hfopenllm_v2/sakaltcommunity/novablast-preview/5fdcb98f-4c50-4cdb-bd99-dd32efc6d6f3.json
new file mode 100644
index 000000000..899a6a5a1
--- /dev/null
+++ b/data/hfopenllm_v2/sakaltcommunity/novablast-preview/5fdcb98f-4c50-4cdb-bd99-dd32efc6d6f3.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/sakaltcommunity_novablast-preview/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
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+    "source_organization_name": "Hugging Face",
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+    "name": "novablast-preview",
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+    "developer": "sakaltcommunity",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 32.764
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.453
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7043
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4894
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3817
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5021
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5915
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/sakaltcommunity/sakaltum-7b/5fdd75fd-6e57-4ba4-8b6a-58998ff88bd9.json b/data/hfopenllm_v2/sakaltcommunity/sakaltum-7b/5fdd75fd-6e57-4ba4-8b6a-58998ff88bd9.json
deleted file mode 100644
index addb9cf44..000000000
--- a/data/hfopenllm_v2/sakaltcommunity/sakaltum-7b/5fdd75fd-6e57-4ba4-8b6a-58998ff88bd9.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/sakaltcommunity_sakaltum-7b/1762652580.5073972",
-  "retrieved_timestamp": "1762652580.507398",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "sakaltcommunity/sakaltum-7b",
-    "developer": "sakaltcommunity",
-    "inference_platform": "unknown",
-    "id": "sakaltcommunity/sakaltum-7b",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2603868845773658
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4575213514148995
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.02945619335347432
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2726510067114094
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3775
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2769281914893617
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/sakaltcommunity/sakaltum-7b/d49c5e72-0dd0-4663-a310-9cd9bf1f5150.json b/data/hfopenllm_v2/sakaltcommunity/sakaltum-7b/d49c5e72-0dd0-4663-a310-9cd9bf1f5150.json
new file mode 100644
index 000000000..3cafb3d05
--- /dev/null
+++ b/data/hfopenllm_v2/sakaltcommunity/sakaltum-7b/d49c5e72-0dd0-4663-a310-9cd9bf1f5150.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/sakaltcommunity_sakaltum-7b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "sakaltum-7b",
+    "id": "sakaltcommunity/sakaltum-7b",
+    "developer": "sakaltcommunity",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2604
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4575
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0295
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2727
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3775
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2769
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/sakhan10/quantized_open_llama_3b_v2/0176903f-e6ca-4f21-b98a-00bc443bf244.json b/data/hfopenllm_v2/sakhan10/quantized_open_llama_3b_v2/0176903f-e6ca-4f21-b98a-00bc443bf244.json
new file mode 100644
index 000000000..19cf5433b
--- /dev/null
+++ b/data/hfopenllm_v2/sakhan10/quantized_open_llama_3b_v2/0176903f-e6ca-4f21-b98a-00bc443bf244.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/sakhan10_quantized_open_llama_3b_v2/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "quantized_open_llama_3b_v2",
+    "id": "sakhan10/quantized_open_llama_3b_v2",
+    "developer": "sakhan10",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 3.0
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1872
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.302
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2768
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3682
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1095
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/saltlux/luxia-21.4b-alignment-v1.0/11f32afc-95c1-4531-ae45-5a0974d36b3a.json b/data/hfopenllm_v2/saltlux/luxia-21.4b-alignment-v1.0/11f32afc-95c1-4531-ae45-5a0974d36b3a.json
new file mode 100644
index 000000000..30efb3c9e
--- /dev/null
+++ b/data/hfopenllm_v2/saltlux/luxia-21.4b-alignment-v1.0/11f32afc-95c1-4531-ae45-5a0974d36b3a.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/saltlux_luxia-21.4b-alignment-v1.0/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "luxia-21.4b-alignment-v1.0",
+    "id": "saltlux/luxia-21.4b-alignment-v1.0",
+    "developer": "saltlux",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 21.421
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3693
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6373
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0974
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3012
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4328
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3403
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/saltlux/luxia-21.4b-alignment-v1.0/fe959cc1-17bd-4e87-b9b7-84d3adddbedb.json b/data/hfopenllm_v2/saltlux/luxia-21.4b-alignment-v1.0/fe959cc1-17bd-4e87-b9b7-84d3adddbedb.json
deleted file mode 100644
index 994505910..000000000
--- a/data/hfopenllm_v2/saltlux/luxia-21.4b-alignment-v1.0/fe959cc1-17bd-4e87-b9b7-84d3adddbedb.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/saltlux_luxia-21.4b-alignment-v1.0/1762652580.507964",
-  "retrieved_timestamp": "1762652580.5079648",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "saltlux/luxia-21.4b-alignment-v1.0",
-    "developer": "saltlux",
-    "inference_platform": "unknown",
-    "id": "saltlux/luxia-21.4b-alignment-v1.0",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 21.421
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.36929679915956326
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6373342606775594
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.09743202416918428
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3011744966442953
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.43284374999999997
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.34034242021276595
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/saltlux/luxia-21.4b-alignment-v1.2/70657dd7-63cf-40f4-92a0-1097fc1ce9ae.json b/data/hfopenllm_v2/saltlux/luxia-21.4b-alignment-v1.2/70657dd7-63cf-40f4-92a0-1097fc1ce9ae.json
new file mode 100644
index 000000000..1f660f4e7
--- /dev/null
+++ b/data/hfopenllm_v2/saltlux/luxia-21.4b-alignment-v1.2/70657dd7-63cf-40f4-92a0-1097fc1ce9ae.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/saltlux_luxia-21.4b-alignment-v1.2/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "luxia-21.4b-alignment-v1.2",
+    "id": "saltlux/luxia-21.4b-alignment-v1.2",
+    "developer": "saltlux",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 21.421
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4115
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6371
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0846
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3079
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4459
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3473
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/saltlux/luxia-21.4b-alignment-v1.2/b89b30bb-fbaa-4ac6-8535-9f31cf87eb55.json b/data/hfopenllm_v2/saltlux/luxia-21.4b-alignment-v1.2/b89b30bb-fbaa-4ac6-8535-9f31cf87eb55.json
deleted file mode 100644
index 862b853f6..000000000
--- a/data/hfopenllm_v2/saltlux/luxia-21.4b-alignment-v1.2/b89b30bb-fbaa-4ac6-8535-9f31cf87eb55.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/saltlux_luxia-21.4b-alignment-v1.2/1762652580.508301",
-  "retrieved_timestamp": "1762652580.5083032",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "saltlux/luxia-21.4b-alignment-v1.2",
-    "developer": "saltlux",
-    "inference_platform": "unknown",
-    "id": "saltlux/luxia-21.4b-alignment-v1.2",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 21.421
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41153694419695297
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6371180708112368
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.08459214501510574
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30788590604026844
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4458958333333334
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.34732380319148937
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/sam-paech/Darkest-muse-v1/53cf325b-6f32-4791-8f95-8b982ea03b23.json b/data/hfopenllm_v2/sam-paech/Darkest-muse-v1/53cf325b-6f32-4791-8f95-8b982ea03b23.json
new file mode 100644
index 000000000..3a8e6c998
--- /dev/null
+++ b/data/hfopenllm_v2/sam-paech/Darkest-muse-v1/53cf325b-6f32-4791-8f95-8b982ea03b23.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/sam-paech_Darkest-muse-v1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Darkest-muse-v1",
+    "id": "sam-paech/Darkest-muse-v1",
+    "developer": "sam-paech",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Gemma2ForCausalLM",
+      "params_billions": 10.159
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7344
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5968
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2145
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.344
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4502
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4184
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/sam-paech/Darkest-muse-v1/dae1ceb0-97b1-4285-b9db-912d7b4b01c7.json b/data/hfopenllm_v2/sam-paech/Darkest-muse-v1/dae1ceb0-97b1-4285-b9db-912d7b4b01c7.json
deleted file mode 100644
index b99904bfa..000000000
--- a/data/hfopenllm_v2/sam-paech/Darkest-muse-v1/dae1ceb0-97b1-4285-b9db-912d7b4b01c7.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/sam-paech_Darkest-muse-v1/1762652580.508588",
-  "retrieved_timestamp": "1762652580.508589",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "sam-paech/Darkest-muse-v1",
-    "developer": "sam-paech",
-    "inference_platform": "unknown",
-    "id": "sam-paech/Darkest-muse-v1",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Gemma2ForCausalLM",
-      "params_billions": 10.159
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7344202272193336
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5968439530708949
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.21450151057401812
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.34395973154362414
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4502083333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4183843085106383
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/sam-paech/Delirium-v1/78dd5568-0d0d-4cc5-ad1a-bfba857c827e.json b/data/hfopenllm_v2/sam-paech/Delirium-v1/78dd5568-0d0d-4cc5-ad1a-bfba857c827e.json
deleted file mode 100644
index 63619707f..000000000
--- a/data/hfopenllm_v2/sam-paech/Delirium-v1/78dd5568-0d0d-4cc5-ad1a-bfba857c827e.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/sam-paech_Delirium-v1/1762652580.508875",
-  "retrieved_timestamp": "1762652580.508876",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "sam-paech/Delirium-v1",
-    "developer": "sam-paech",
-    "inference_platform": "unknown",
-    "id": "sam-paech/Delirium-v1",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Gemma2ForCausalLM",
-      "params_billions": 9.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7207564816908026
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5962113834521733
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2107250755287009
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.34312080536912754
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.45144791666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4189660904255319
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/sam-paech/Delirium-v1/8c50491b-6ed4-4f38-9d3f-d5168600cf4f.json b/data/hfopenllm_v2/sam-paech/Delirium-v1/8c50491b-6ed4-4f38-9d3f-d5168600cf4f.json
new file mode 100644
index 000000000..2fdabfe78
--- /dev/null
+++ b/data/hfopenllm_v2/sam-paech/Delirium-v1/8c50491b-6ed4-4f38-9d3f-d5168600cf4f.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/sam-paech_Delirium-v1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Delirium-v1",
+    "id": "sam-paech/Delirium-v1",
+    "developer": "sam-paech",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Gemma2ForCausalLM",
+      "params_billions": 9.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7208
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5962
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2107
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3431
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4514
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.419
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/sam-paech/Quill-v1/248541b3-aeae-429d-93ae-06cc3bc82cd8.json b/data/hfopenllm_v2/sam-paech/Quill-v1/248541b3-aeae-429d-93ae-06cc3bc82cd8.json
deleted file mode 100644
index 0fc96e4c8..000000000
--- a/data/hfopenllm_v2/sam-paech/Quill-v1/248541b3-aeae-429d-93ae-06cc3bc82cd8.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/sam-paech_Quill-v1/1762652580.5091672",
-  "retrieved_timestamp": "1762652580.5091681",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "sam-paech/Quill-v1",
-    "developer": "sam-paech",
-    "inference_platform": "unknown",
-    "id": "sam-paech/Quill-v1",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Gemma2ForCausalLM",
-      "params_billions": 9.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.712213593265868
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5969226347989487
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2122356495468278
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.33976510067114096
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.45547916666666666
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4171376329787234
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/sam-paech/Quill-v1/7adf79de-a51d-4b87-989a-c218ec6d99e3.json b/data/hfopenllm_v2/sam-paech/Quill-v1/7adf79de-a51d-4b87-989a-c218ec6d99e3.json
new file mode 100644
index 000000000..cd6582f9b
--- /dev/null
+++ b/data/hfopenllm_v2/sam-paech/Quill-v1/7adf79de-a51d-4b87-989a-c218ec6d99e3.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/sam-paech_Quill-v1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Quill-v1",
+    "id": "sam-paech/Quill-v1",
+    "developer": "sam-paech",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Gemma2ForCausalLM",
+      "params_billions": 9.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7122
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5969
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2122
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3398
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4555
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4171
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/sarvamai/OpenHathi-7B-Hi-v0.1-Base/92358e5a-5e73-4747-9e92-e5ac003b97f7.json b/data/hfopenllm_v2/sarvamai/OpenHathi-7B-Hi-v0.1-Base/92358e5a-5e73-4747-9e92-e5ac003b97f7.json
new file mode 100644
index 000000000..10e232e86
--- /dev/null
+++ b/data/hfopenllm_v2/sarvamai/OpenHathi-7B-Hi-v0.1-Base/92358e5a-5e73-4747-9e92-e5ac003b97f7.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/sarvamai_OpenHathi-7B-Hi-v0.1-Base/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "OpenHathi-7B-Hi-v0.1-Base",
+    "id": "sarvamai/OpenHathi-7B-Hi-v0.1-Base",
+    "developer": "sarvamai",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 6.87
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1804
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3354
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0083
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2534
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3658
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1543
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/sarvamai/OpenHathi-7B-Hi-v0.1-Base/e0c03300-a08f-409e-9f39-f00d5e9e126f.json b/data/hfopenllm_v2/sarvamai/OpenHathi-7B-Hi-v0.1-Base/e0c03300-a08f-409e-9f39-f00d5e9e126f.json
deleted file mode 100644
index bdbbd54f8..000000000
--- a/data/hfopenllm_v2/sarvamai/OpenHathi-7B-Hi-v0.1-Base/e0c03300-a08f-409e-9f39-f00d5e9e126f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/sarvamai_OpenHathi-7B-Hi-v0.1-Base/1762652580.509491",
-  "retrieved_timestamp": "1762652580.5094929",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "sarvamai/OpenHathi-7B-Hi-v0.1-Base",
-    "developer": "sarvamai",
-    "inference_platform": "unknown",
-    "id": "sarvamai/OpenHathi-7B-Hi-v0.1-Base",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 6.87
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.18040244329490196
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.33540458231510667
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.008308157099697885
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2533557046979866
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-}
diff --git a/data/hfopenllm_v2/schnapss/testmerge-7b/f1636512-b98f-4fe4-adf3-abd556dd0ab9.json b/data/hfopenllm_v2/schnapss/testmerge-7b/f1636512-b98f-4fe4-adf3-abd556dd0ab9.json
new file mode 100644
index 000000000..5594f41d4
--- /dev/null
+++ b/data/hfopenllm_v2/schnapss/testmerge-7b/f1636512-b98f-4fe4-adf3-abd556dd0ab9.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/schnapss_testmerge-7b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "testmerge-7b",
+    "id": "schnapss/testmerge-7b",
+    "developer": "schnapss",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3922
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5187
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0687
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2961
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4686
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.306
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/schnapss/testmerge-7b/faa7be96-1419-48be-9b95-e97689296de0.json b/data/hfopenllm_v2/schnapss/testmerge-7b/faa7be96-1419-48be-9b95-e97689296de0.json
deleted file mode 100644
index 81850f341..000000000
--- a/data/hfopenllm_v2/schnapss/testmerge-7b/faa7be96-1419-48be-9b95-e97689296de0.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/schnapss_testmerge-7b/1762652580.509877",
-  "retrieved_timestamp": "1762652580.509878",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "schnapss/testmerge-7b",
-    "developer": "schnapss",
-    "inference_platform": "unknown",
-    "id": "schnapss/testmerge-7b",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-      }
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-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30601728723404253
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/sci-m-wang/Mistral-7B-Instruct-sa-v0.1/8125700c-d9e7-4d6e-9b78-049331dd571b.json b/data/hfopenllm_v2/sci-m-wang/Mistral-7B-Instruct-sa-v0.1/8125700c-d9e7-4d6e-9b78-049331dd571b.json
deleted file mode 100644
index d620c9147..000000000
--- a/data/hfopenllm_v2/sci-m-wang/Mistral-7B-Instruct-sa-v0.1/8125700c-d9e7-4d6e-9b78-049331dd571b.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/sci-m-wang_Mistral-7B-Instruct-sa-v0.1/1762652580.510147",
-  "retrieved_timestamp": "1762652580.510148",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "sci-m-wang/Mistral-7B-Instruct-sa-v0.1",
-    "developer": "sci-m-wang",
-    "inference_platform": "unknown",
-    "id": "sci-m-wang/Mistral-7B-Instruct-sa-v0.1",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "?",
-      "params_billions": 14.483
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4335186194851882
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-    },
-    {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.25922818791946306
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.38999999999999996
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2362034574468085
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/sci-m-wang/Mistral-7B-Instruct-sa-v0.1/9333afdd-4866-412b-b11b-dfb118a06db9.json b/data/hfopenllm_v2/sci-m-wang/Mistral-7B-Instruct-sa-v0.1/9333afdd-4866-412b-b11b-dfb118a06db9.json
new file mode 100644
index 000000000..792d4db80
--- /dev/null
+++ b/data/hfopenllm_v2/sci-m-wang/Mistral-7B-Instruct-sa-v0.1/9333afdd-4866-412b-b11b-dfb118a06db9.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/sci-m-wang_Mistral-7B-Instruct-sa-v0.1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Mistral-7B-Instruct-sa-v0.1",
+    "id": "sci-m-wang/Mistral-7B-Instruct-sa-v0.1",
+    "developer": "sci-m-wang",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "?",
+      "params_billions": 14.483
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4335
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3273
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0144
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2592
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.39
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2362
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/sci-m-wang/Phi-3-mini-4k-instruct-sa-v0.1/319484e0-12aa-4212-b55f-d19efdd2f719.json b/data/hfopenllm_v2/sci-m-wang/Phi-3-mini-4k-instruct-sa-v0.1/319484e0-12aa-4212-b55f-d19efdd2f719.json
deleted file mode 100644
index b6d280f58..000000000
--- a/data/hfopenllm_v2/sci-m-wang/Phi-3-mini-4k-instruct-sa-v0.1/319484e0-12aa-4212-b55f-d19efdd2f719.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/sci-m-wang_Phi-3-mini-4k-instruct-sa-v0.1/1762652580.510415",
-  "retrieved_timestamp": "1762652580.510418",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "sci-m-wang/Phi-3-mini-4k-instruct-sa-v0.1",
-    "developer": "sci-m-wang",
-    "inference_platform": "unknown",
-    "id": "sci-m-wang/Phi-3-mini-4k-instruct-sa-v0.1",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "?",
-      "params_billions": 7.642
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5020623057930734
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5502038722383045
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.14803625377643503
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3288590604026846
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.40730208333333334
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.39852061170212766
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-  ]
-}
diff --git a/data/hfopenllm_v2/sci-m-wang/Phi-3-mini-4k-instruct-sa-v0.1/840c0e19-6d75-47a2-b64b-f9c51cb1dcff.json b/data/hfopenllm_v2/sci-m-wang/Phi-3-mini-4k-instruct-sa-v0.1/840c0e19-6d75-47a2-b64b-f9c51cb1dcff.json
new file mode 100644
index 000000000..4019e2d95
--- /dev/null
+++ b/data/hfopenllm_v2/sci-m-wang/Phi-3-mini-4k-instruct-sa-v0.1/840c0e19-6d75-47a2-b64b-f9c51cb1dcff.json
@@ -0,0 +1,132 @@
+{
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/sci-m-wang/deepseek-llm-7b-chat-sa-v0.1/071b49f2-8e23-47b1-9858-78d676d9905e.json b/data/hfopenllm_v2/sci-m-wang/deepseek-llm-7b-chat-sa-v0.1/071b49f2-8e23-47b1-9858-78d676d9905e.json
new file mode 100644
index 000000000..ea4d21a1e
--- /dev/null
+++ b/data/hfopenllm_v2/sci-m-wang/deepseek-llm-7b-chat-sa-v0.1/071b49f2-8e23-47b1-9858-78d676d9905e.json
@@ -0,0 +1,132 @@
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+    "id": "sci-m-wang/deepseek-llm-7b-chat-sa-v0.1",
+    "developer": "sci-m-wang",
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/sci-m-wang/deepseek-llm-7b-chat-sa-v0.1/182d68d5-9b03-41bc-850c-1f571c36e630.json b/data/hfopenllm_v2/sci-m-wang/deepseek-llm-7b-chat-sa-v0.1/182d68d5-9b03-41bc-850c-1f571c36e630.json
deleted file mode 100644
index 163fd03c9..000000000
--- a/data/hfopenllm_v2/sci-m-wang/deepseek-llm-7b-chat-sa-v0.1/182d68d5-9b03-41bc-850c-1f571c36e630.json
+++ /dev/null
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diff --git a/data/hfopenllm_v2/securin/Securin-LLM-V2.5-Qwen-1.5B/d3821f53-87aa-470a-a403-c8e3cd100ae1.json b/data/hfopenllm_v2/securin/Securin-LLM-V2.5-Qwen-1.5B/d3821f53-87aa-470a-a403-c8e3cd100ae1.json
new file mode 100644
index 000000000..4a45da063
--- /dev/null
+++ b/data/hfopenllm_v2/securin/Securin-LLM-V2.5-Qwen-1.5B/d3821f53-87aa-470a-a403-c8e3cd100ae1.json
@@ -0,0 +1,132 @@
+{
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+  "source_metadata": {
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+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
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+    "id": "securin/Securin-LLM-V2.5-Qwen-1.5B",
+    "developer": "securin",
+    "inference_platform": "unknown",
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+  "evaluation_results": [
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+        "hf_repo": "SaylorTwift/bbh"
+      },
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+        "hf_repo": "TIGER-Lab/MMLU-Pro"
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/senseable/WestLake-7B-v2/389dbaba-c9cd-4e6b-afb3-f2ee3951faa0.json b/data/hfopenllm_v2/senseable/WestLake-7B-v2/389dbaba-c9cd-4e6b-afb3-f2ee3951faa0.json
new file mode 100644
index 000000000..60607b3dd
--- /dev/null
+++ b/data/hfopenllm_v2/senseable/WestLake-7B-v2/389dbaba-c9cd-4e6b-afb3-f2ee3951faa0.json
@@ -0,0 +1,132 @@
+{
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+  "evaluation_id": "hfopenllm_v2/senseable_WestLake-7B-v2/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "WestLake-7B-v2",
+    "id": "senseable/WestLake-7B-v2",
+    "developer": "senseable",
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+        "hf_repo": "SaylorTwift/bbh"
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+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
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+        "hf_repo": "TAUR-Lab/MuSR"
+      },
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+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/senseable/WestLake-7B-v2/6ef15d50-74b7-4e09-856c-05343841e24b.json b/data/hfopenllm_v2/senseable/WestLake-7B-v2/6ef15d50-74b7-4e09-856c-05343841e24b.json
deleted file mode 100644
index a83727d77..000000000
--- a/data/hfopenllm_v2/senseable/WestLake-7B-v2/6ef15d50-74b7-4e09-856c-05343841e24b.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-    "id": "senseable/WestLake-7B-v2",
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diff --git a/data/hfopenllm_v2/sequelbox/Llama3.1-70B-PlumChat/5f78f39a-42cc-4cf6-bb27-e2160765bf24.json b/data/hfopenllm_v2/sequelbox/Llama3.1-70B-PlumChat/5f78f39a-42cc-4cf6-bb27-e2160765bf24.json
new file mode 100644
index 000000000..e8f20a830
--- /dev/null
+++ b/data/hfopenllm_v2/sequelbox/Llama3.1-70B-PlumChat/5f78f39a-42cc-4cf6-bb27-e2160765bf24.json
@@ -0,0 +1,132 @@
+{
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+  "evaluation_id": "hfopenllm_v2/sequelbox_Llama3.1-70B-PlumChat/1770682486.623709",
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+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama3.1-70B-PlumChat",
+    "id": "sequelbox/Llama3.1-70B-PlumChat",
+    "developer": "sequelbox",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 70.554
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
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+        "score_type": "continuous",
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+        "max_score": 1.0
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
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+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
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+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3909
+      }
+    },
+    {
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+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
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+        "evaluation_description": "Accuracy on MUSR",
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+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
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+        "max_score": 1.0
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+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/sequelbox/Llama3.1-8B-MOTH/b6e3d811-bf9d-474e-b82d-358a44e0dfc9.json b/data/hfopenllm_v2/sequelbox/Llama3.1-8B-MOTH/b6e3d811-bf9d-474e-b82d-358a44e0dfc9.json
new file mode 100644
index 000000000..fa67f2014
--- /dev/null
+++ b/data/hfopenllm_v2/sequelbox/Llama3.1-8B-MOTH/b6e3d811-bf9d-474e-b82d-358a44e0dfc9.json
@@ -0,0 +1,132 @@
+{
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+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
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+    "developer": "sequelbox",
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+        "source_type": "hf_dataset",
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+        "hf_repo": "SaylorTwift/bbh"
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+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+    {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
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+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
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+        "max_score": 1.0
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+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
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+    }
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/sequelbox/Llama3.1-8B-PlumChat/bef1cbad-4f75-4dde-b467-6145f72a87f4.json b/data/hfopenllm_v2/sequelbox/Llama3.1-8B-PlumChat/bef1cbad-4f75-4dde-b467-6145f72a87f4.json
new file mode 100644
index 000000000..7e037a4de
--- /dev/null
+++ b/data/hfopenllm_v2/sequelbox/Llama3.1-8B-PlumChat/bef1cbad-4f75-4dde-b467-6145f72a87f4.json
@@ -0,0 +1,132 @@
+{
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+  "source_metadata": {
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+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
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+  "model_info": {
+    "name": "Llama3.1-8B-PlumChat",
+    "id": "sequelbox/Llama3.1-8B-PlumChat",
+    "developer": "sequelbox",
+    "inference_platform": "unknown",
+    "additional_details": {
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+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
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+      "evaluation_name": "IFEval",
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+        "source_type": "hf_dataset",
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
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+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "max_score": 1.0
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+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
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+        "lower_is_better": false,
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
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+        "lower_is_better": false,
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+        "min_score": 0.0,
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+      },
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+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
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+        "max_score": 1.0
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+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/sequelbox/Llama3.1-8B-PlumCode/654bebe0-b461-427e-a4cf-06386e9272d8.json b/data/hfopenllm_v2/sequelbox/Llama3.1-8B-PlumCode/654bebe0-b461-427e-a4cf-06386e9272d8.json
new file mode 100644
index 000000000..cef3dea6d
--- /dev/null
+++ b/data/hfopenllm_v2/sequelbox/Llama3.1-8B-PlumCode/654bebe0-b461-427e-a4cf-06386e9272d8.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/sequelbox_Llama3.1-8B-PlumCode/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama3.1-8B-PlumCode",
+    "id": "sequelbox/Llama3.1-8B-PlumCode",
+    "developer": "sequelbox",
+    "inference_platform": "unknown",
+    "additional_details": {
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+    }
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+        "lower_is_better": false,
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+        "max_score": 1.0
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+    },
+    {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "max_score": 1.0
+      },
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+      }
+    },
+    {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+    },
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/sequelbox/Llama3.1-8B-PlumMath/37ef4e34-58f8-463a-950f-48b3a6833d54.json b/data/hfopenllm_v2/sequelbox/Llama3.1-8B-PlumMath/37ef4e34-58f8-463a-950f-48b3a6833d54.json
new file mode 100644
index 000000000..553cddc4a
--- /dev/null
+++ b/data/hfopenllm_v2/sequelbox/Llama3.1-8B-PlumMath/37ef4e34-58f8-463a-950f-48b3a6833d54.json
@@ -0,0 +1,132 @@
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/sequelbox/gemma-2-9B-MOTH/20687086-8aab-40f1-aec6-03917f4f9bf5.json b/data/hfopenllm_v2/sequelbox/gemma-2-9B-MOTH/20687086-8aab-40f1-aec6-03917f4f9bf5.json
new file mode 100644
index 000000000..1c49b7861
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+++ b/data/hfopenllm_v2/sequelbox/gemma-2-9B-MOTH/20687086-8aab-40f1-aec6-03917f4f9bf5.json
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+      },
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/sethuiyer/Llama-3.1-8B-Experimental-1206-Instruct/49334550-08eb-49a2-9cea-f90f22533ab1.json b/data/hfopenllm_v2/sethuiyer/Llama-3.1-8B-Experimental-1206-Instruct/49334550-08eb-49a2-9cea-f90f22533ab1.json
deleted file mode 100644
index 471194651..000000000
--- a/data/hfopenllm_v2/sethuiyer/Llama-3.1-8B-Experimental-1206-Instruct/49334550-08eb-49a2-9cea-f90f22533ab1.json
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diff --git a/data/hfopenllm_v2/sethuiyer/Llama-3.1-8B-Experimental-1206-Instruct/53a0a998-a0a6-4800-80bf-bfd83123f2f6.json b/data/hfopenllm_v2/sethuiyer/Llama-3.1-8B-Experimental-1206-Instruct/53a0a998-a0a6-4800-80bf-bfd83123f2f6.json
new file mode 100644
index 000000000..4beac0c7e
--- /dev/null
+++ b/data/hfopenllm_v2/sethuiyer/Llama-3.1-8B-Experimental-1206-Instruct/53a0a998-a0a6-4800-80bf-bfd83123f2f6.json
@@ -0,0 +1,132 @@
+{
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+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
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+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-3.1-8B-Experimental-1206-Instruct",
+    "id": "sethuiyer/Llama-3.1-8B-Experimental-1206-Instruct",
+    "developer": "sethuiyer",
+    "inference_platform": "unknown",
+    "additional_details": {
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+  },
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+        "source_type": "hf_dataset",
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
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+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
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+      "score_details": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
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+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "max_score": 1.0
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/sethuiyer/Llama-3.1-8B-Experimental-1208-Instruct/4ee8df1c-e8ff-4a56-816c-0c2258a226e7.json b/data/hfopenllm_v2/sethuiyer/Llama-3.1-8B-Experimental-1208-Instruct/4ee8df1c-e8ff-4a56-816c-0c2258a226e7.json
new file mode 100644
index 000000000..a0e1dafd6
--- /dev/null
+++ b/data/hfopenllm_v2/sethuiyer/Llama-3.1-8B-Experimental-1208-Instruct/4ee8df1c-e8ff-4a56-816c-0c2258a226e7.json
@@ -0,0 +1,132 @@
+{
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+  "evaluation_id": "hfopenllm_v2/sethuiyer_Llama-3.1-8B-Experimental-1208-Instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
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+    "source_type": "documentation",
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+    "name": "Llama-3.1-8B-Experimental-1208-Instruct",
+    "id": "sethuiyer/Llama-3.1-8B-Experimental-1208-Instruct",
+    "developer": "sethuiyer",
+    "inference_platform": "unknown",
+    "additional_details": {
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+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
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+  },
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+        "hf_repo": "google/IFEval"
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+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
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+        "lower_is_better": false,
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+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
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+      "metric_config": {
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+    },
+    {
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+        "hf_repo": "TAUR-Lab/MuSR"
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+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.379
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3511
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/sethuiyer/Llama-3.1-8B-Experimental-1208-Instruct/d4b778ea-ae70-437f-a295-772abc659027.json b/data/hfopenllm_v2/sethuiyer/Llama-3.1-8B-Experimental-1208-Instruct/d4b778ea-ae70-437f-a295-772abc659027.json
deleted file mode 100644
index b70879dff..000000000
--- a/data/hfopenllm_v2/sethuiyer/Llama-3.1-8B-Experimental-1208-Instruct/d4b778ea-ae70-437f-a295-772abc659027.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/sethuiyer_Llama-3.1-8B-Experimental-1208-Instruct/1762652580.513202",
-  "retrieved_timestamp": "1762652580.513203",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "sethuiyer/Llama-3.1-8B-Experimental-1208-Instruct",
-    "developer": "sethuiyer",
-    "inference_platform": "unknown",
-    "id": "sethuiyer/Llama-3.1-8B-Experimental-1208-Instruct",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6099981382731153
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.49642264289263355
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.0891238670694864
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2961409395973154
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3789895833333334
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.35106382978723405
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/sethuiyer/LlamaZero-3.1-8B-Experimental-1208/42c8d84d-c8b8-42c6-8f49-4e971df173d7.json b/data/hfopenllm_v2/sethuiyer/LlamaZero-3.1-8B-Experimental-1208/42c8d84d-c8b8-42c6-8f49-4e971df173d7.json
new file mode 100644
index 000000000..27df7dbc2
--- /dev/null
+++ b/data/hfopenllm_v2/sethuiyer/LlamaZero-3.1-8B-Experimental-1208/42c8d84d-c8b8-42c6-8f49-4e971df173d7.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/sethuiyer_LlamaZero-3.1-8B-Experimental-1208/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "LlamaZero-3.1-8B-Experimental-1208",
+    "id": "sethuiyer/LlamaZero-3.1-8B-Experimental-1208",
+    "developer": "sethuiyer",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6051
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4981
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.108
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2685
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.382
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/sethuiyer/Llamaverse-3.1-8B-Instruct/77b57dea-22e1-48a6-b8ae-9e474f08ad5f.json b/data/hfopenllm_v2/sethuiyer/Llamaverse-3.1-8B-Instruct/77b57dea-22e1-48a6-b8ae-9e474f08ad5f.json
new file mode 100644
index 000000000..38d270dc1
--- /dev/null
+++ b/data/hfopenllm_v2/sethuiyer/Llamaverse-3.1-8B-Instruct/77b57dea-22e1-48a6-b8ae-9e474f08ad5f.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/sethuiyer_Llamaverse-3.1-8B-Instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llamaverse-3.1-8B-Instruct",
+    "id": "sethuiyer/Llamaverse-3.1-8B-Instruct",
+    "developer": "sethuiyer",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6185
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5414
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1858
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2911
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3762
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3523
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/sethuiyer/Llamaverse-3.1-8B-Instruct/f0a224c2-037a-4229-bb00-5d76d3974078.json b/data/hfopenllm_v2/sethuiyer/Llamaverse-3.1-8B-Instruct/f0a224c2-037a-4229-bb00-5d76d3974078.json
deleted file mode 100644
index 79da9926a..000000000
--- a/data/hfopenllm_v2/sethuiyer/Llamaverse-3.1-8B-Instruct/f0a224c2-037a-4229-bb00-5d76d3974078.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/sethuiyer_Llamaverse-3.1-8B-Instruct/1762652580.513652",
-  "retrieved_timestamp": "1762652580.513653",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "sethuiyer/Llamaverse-3.1-8B-Instruct",
-    "developer": "sethuiyer",
-    "inference_platform": "unknown",
-    "id": "sethuiyer/Llamaverse-3.1-8B-Instruct",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6185410266980501
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5414159562743479
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.18580060422960726
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2911073825503356
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3761666666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3523105053191489
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/sethuiyer/Llamazing-3.1-8B-Instruct/9065a7df-dab7-4e3b-bbc5-01f2908c37b3.json b/data/hfopenllm_v2/sethuiyer/Llamazing-3.1-8B-Instruct/9065a7df-dab7-4e3b-bbc5-01f2908c37b3.json
deleted file mode 100644
index 5dc427403..000000000
--- a/data/hfopenllm_v2/sethuiyer/Llamazing-3.1-8B-Instruct/9065a7df-dab7-4e3b-bbc5-01f2908c37b3.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/sethuiyer_Llamazing-3.1-8B-Instruct/1762652580.513854",
-  "retrieved_timestamp": "1762652580.513855",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "sethuiyer/Llamazing-3.1-8B-Instruct",
-    "developer": "sethuiyer",
-    "inference_platform": "unknown",
-    "id": "sethuiyer/Llamazing-3.1-8B-Instruct",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5711301568726534
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.529106967510303
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.054380664652567974
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.31208053691275167
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.39759374999999997
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3606216755319149
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/sethuiyer/Llamazing-3.1-8B-Instruct/a9ed5d04-57d2-4566-91df-b798be939fdb.json b/data/hfopenllm_v2/sethuiyer/Llamazing-3.1-8B-Instruct/a9ed5d04-57d2-4566-91df-b798be939fdb.json
new file mode 100644
index 000000000..f6ecfe05e
--- /dev/null
+++ b/data/hfopenllm_v2/sethuiyer/Llamazing-3.1-8B-Instruct/a9ed5d04-57d2-4566-91df-b798be939fdb.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/sethuiyer_Llamazing-3.1-8B-Instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llamazing-3.1-8B-Instruct",
+    "id": "sethuiyer/Llamazing-3.1-8B-Instruct",
+    "developer": "sethuiyer",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5711
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5291
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0544
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3121
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3976
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3606
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/sethuiyer/Qwen2.5-7B-Anvita/bad4ec47-fe84-4518-b072-6955938f0c86.json b/data/hfopenllm_v2/sethuiyer/Qwen2.5-7B-Anvita/bad4ec47-fe84-4518-b072-6955938f0c86.json
new file mode 100644
index 000000000..de9d6f292
--- /dev/null
+++ b/data/hfopenllm_v2/sethuiyer/Qwen2.5-7B-Anvita/bad4ec47-fe84-4518-b072-6955938f0c86.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/sethuiyer_Qwen2.5-7B-Anvita/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-7B-Anvita",
+    "id": "sethuiyer/Qwen2.5-7B-Anvita",
+    "developer": "sethuiyer",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.648
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5466
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2017
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3272
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4337
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4166
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/shadowml/BeagSake-7B/2a71923c-8697-4b62-94fa-4c16874df7a7.json b/data/hfopenllm_v2/shadowml/BeagSake-7B/2a71923c-8697-4b62-94fa-4c16874df7a7.json
deleted file mode 100644
index 4309f9dfe..000000000
--- a/data/hfopenllm_v2/shadowml/BeagSake-7B/2a71923c-8697-4b62-94fa-4c16874df7a7.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/shadowml_BeagSake-7B/1762652580.514317",
-  "retrieved_timestamp": "1762652580.514318",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "shadowml/BeagSake-7B",
-    "developer": "shadowml",
-    "inference_platform": "unknown",
-    "id": "shadowml/BeagSake-7B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5215960318621258
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.47110342371098474
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.05060422960725076
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.28104026845637586
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41235416666666663
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.25847739361702127
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/shadowml/BeagSake-7B/497e585c-059a-4e18-9a8f-bdaa066f59ea.json b/data/hfopenllm_v2/shadowml/BeagSake-7B/497e585c-059a-4e18-9a8f-bdaa066f59ea.json
new file mode 100644
index 000000000..3c7a54074
--- /dev/null
+++ b/data/hfopenllm_v2/shadowml/BeagSake-7B/497e585c-059a-4e18-9a8f-bdaa066f59ea.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/shadowml_BeagSake-7B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "BeagSake-7B",
+    "id": "shadowml/BeagSake-7B",
+    "developer": "shadowml",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5216
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4711
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0506
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.281
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4124
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2585
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/shadowml/Mixolar-4x7b/65a2c055-9bb5-458d-8a65-89b363b47a3a.json b/data/hfopenllm_v2/shadowml/Mixolar-4x7b/65a2c055-9bb5-458d-8a65-89b363b47a3a.json
deleted file mode 100644
index 8eb1b7c37..000000000
--- a/data/hfopenllm_v2/shadowml/Mixolar-4x7b/65a2c055-9bb5-458d-8a65-89b363b47a3a.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/shadowml_Mixolar-4x7b/1762652580.5145578",
-  "retrieved_timestamp": "1762652580.514559",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "shadowml/Mixolar-4x7b",
-    "developer": "shadowml",
-    "inference_platform": "unknown",
-    "id": "shadowml/Mixolar-4x7b",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "MixtralForCausalLM",
-      "params_billions": 36.099
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3893303102434873
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5215949876221495
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.0581570996978852
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.29278523489932884
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42575
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.33053523936170215
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/shadowml/Mixolar-4x7b/e24b2a4e-83e4-4a79-bc41-03a54af00595.json b/data/hfopenllm_v2/shadowml/Mixolar-4x7b/e24b2a4e-83e4-4a79-bc41-03a54af00595.json
new file mode 100644
index 000000000..193aa7115
--- /dev/null
+++ b/data/hfopenllm_v2/shadowml/Mixolar-4x7b/e24b2a4e-83e4-4a79-bc41-03a54af00595.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/shadowml_Mixolar-4x7b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
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+    "developer": "shadowml",
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+      "source_data": {
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+        "source_type": "hf_dataset",
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+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+      }
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+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
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+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+      }
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+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
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+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
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+      }
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/shastraai/Shastra-LLAMA2-Math-Commonsense-SFT/15e39361-585b-4870-b91a-64dce4fb37ec.json b/data/hfopenllm_v2/shastraai/Shastra-LLAMA2-Math-Commonsense-SFT/15e39361-585b-4870-b91a-64dce4fb37ec.json
new file mode 100644
index 000000000..015b23d62
--- /dev/null
+++ b/data/hfopenllm_v2/shastraai/Shastra-LLAMA2-Math-Commonsense-SFT/15e39361-585b-4870-b91a-64dce4fb37ec.json
@@ -0,0 +1,132 @@
+{
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+  "evaluation_id": "hfopenllm_v2/shastraai_Shastra-LLAMA2-Math-Commonsense-SFT/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Shastra-LLAMA2-Math-Commonsense-SFT",
+    "id": "shastraai/Shastra-LLAMA2-Math-Commonsense-SFT",
+    "developer": "shastraai",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 6.738
+    }
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+        "source_type": "hf_dataset",
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+        "score_type": "continuous",
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+      },
+      "score_details": {
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+      }
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
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+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "max_score": 1.0
+      },
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+      }
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
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+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
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+    {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
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+      },
+      "score_details": {
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+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/shastraai/Shastra-LLAMA2-Math-Commonsense-SFT/563e2894-10bf-43e1-af67-5cd97d52f033.json b/data/hfopenllm_v2/shastraai/Shastra-LLAMA2-Math-Commonsense-SFT/563e2894-10bf-43e1-af67-5cd97d52f033.json
deleted file mode 100644
index b8d51ea3b..000000000
--- a/data/hfopenllm_v2/shastraai/Shastra-LLAMA2-Math-Commonsense-SFT/563e2894-10bf-43e1-af67-5cd97d52f033.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-      "evaluation_name": "IFEval",
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-        "min_score": 0,
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-    }
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-}
diff --git a/data/hfopenllm_v2/shivam9980/NEPALI-LLM/234f5f98-a5fc-417a-8463-186bf600993a.json b/data/hfopenllm_v2/shivam9980/NEPALI-LLM/234f5f98-a5fc-417a-8463-186bf600993a.json
deleted file mode 100644
index 83505e538..000000000
--- a/data/hfopenllm_v2/shivam9980/NEPALI-LLM/234f5f98-a5fc-417a-8463-186bf600993a.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-    "name": "shivam9980/NEPALI-LLM",
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-    "id": "shivam9980/NEPALI-LLM",
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-    {
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-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-}
diff --git a/data/hfopenllm_v2/shivam9980/NEPALI-LLM/96efd11b-e9f2-4bf1-90f9-561714137edf.json b/data/hfopenllm_v2/shivam9980/NEPALI-LLM/96efd11b-e9f2-4bf1-90f9-561714137edf.json
new file mode 100644
index 000000000..60b5094a5
--- /dev/null
+++ b/data/hfopenllm_v2/shivam9980/NEPALI-LLM/96efd11b-e9f2-4bf1-90f9-561714137edf.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/shivam9980_NEPALI-LLM/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "NEPALI-LLM",
+    "id": "shivam9980/NEPALI-LLM",
+    "developer": "shivam9980",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Gemma2ForCausalLM",
+      "params_billions": 10.273
+    }
+  },
+  "evaluation_results": [
+    {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
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+    },
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "max_score": 1.0
+      },
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+    },
+    {
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+        "score": 0.2617
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4122
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+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
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+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2064
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/shivam9980/mistral-7b-news-cnn-merged/98e9936d-d376-4c72-80a6-0a28cf722ac4.json b/data/hfopenllm_v2/shivam9980/mistral-7b-news-cnn-merged/98e9936d-d376-4c72-80a6-0a28cf722ac4.json
new file mode 100644
index 000000000..aa2c40613
--- /dev/null
+++ b/data/hfopenllm_v2/shivam9980/mistral-7b-news-cnn-merged/98e9936d-d376-4c72-80a6-0a28cf722ac4.json
@@ -0,0 +1,132 @@
+{
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+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "mistral-7b-news-cnn-merged",
+    "id": "shivam9980/mistral-7b-news-cnn-merged",
+    "developer": "shivam9980",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "?",
+      "params_billions": 7.723
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+  "evaluation_results": [
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+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
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+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4634
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3635
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0189
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3087
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4523
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2827
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/shivank21/mistral_dpo_self/7ada9c83-7851-4da2-b9d1-d744b174b777.json b/data/hfopenllm_v2/shivank21/mistral_dpo_self/7ada9c83-7851-4da2-b9d1-d744b174b777.json
new file mode 100644
index 000000000..ab32e42b6
--- /dev/null
+++ b/data/hfopenllm_v2/shivank21/mistral_dpo_self/7ada9c83-7851-4da2-b9d1-d744b174b777.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/shivank21_mistral_dpo_self/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "mistral_dpo_self",
+    "id": "shivank21/mistral_dpo_self",
+    "developer": "shivank21",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "",
+      "params_billions": 7.913
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3403
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3216
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0219
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2408
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3247
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2214
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/shuttleai/shuttle-3/a6ed72b7-14f1-464c-a7f5-590791982696.json b/data/hfopenllm_v2/shuttleai/shuttle-3/a6ed72b7-14f1-464c-a7f5-590791982696.json
new file mode 100644
index 000000000..b5153a72b
--- /dev/null
+++ b/data/hfopenllm_v2/shuttleai/shuttle-3/a6ed72b7-14f1-464c-a7f5-590791982696.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/shuttleai_shuttle-3/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "shuttle-3",
+    "id": "shuttleai/shuttle-3",
+    "developer": "shuttleai",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 72.706
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.8154
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.742
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.46
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4119
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4377
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5716
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/shuttleai/shuttle-3/bc357a38-215b-4885-9e0e-6f2b6f0bf1cc.json b/data/hfopenllm_v2/shuttleai/shuttle-3/bc357a38-215b-4885-9e0e-6f2b6f0bf1cc.json
deleted file mode 100644
index 0c95dc884..000000000
--- a/data/hfopenllm_v2/shuttleai/shuttle-3/bc357a38-215b-4885-9e0e-6f2b6f0bf1cc.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/shuttleai_shuttle-3/1762652580.5160902",
-  "retrieved_timestamp": "1762652580.5160909",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "shuttleai/shuttle-3",
-    "developer": "shuttleai",
-    "inference_platform": "unknown",
-    "id": "shuttleai/shuttle-3",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 72.706
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.815403130360776
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7420334281529087
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.45996978851963743
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41191275167785235
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4376875
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5716422872340425
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/shyamieee/Padma-v7.0/79e3f38d-ae2b-44a7-be0d-024adad6bcd6.json b/data/hfopenllm_v2/shyamieee/Padma-v7.0/79e3f38d-ae2b-44a7-be0d-024adad6bcd6.json
new file mode 100644
index 000000000..17b7fc494
--- /dev/null
+++ b/data/hfopenllm_v2/shyamieee/Padma-v7.0/79e3f38d-ae2b-44a7-be0d-024adad6bcd6.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/shyamieee_Padma-v7.0/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Padma-v7.0",
+    "id": "shyamieee/Padma-v7.0",
+    "developer": "shyamieee",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3841
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5119
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0702
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2861
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4386
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3029
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/shyamieee/Padma-v7.0/81546997-4dda-45ea-81fb-23db1b3b5cd7.json b/data/hfopenllm_v2/shyamieee/Padma-v7.0/81546997-4dda-45ea-81fb-23db1b3b5cd7.json
deleted file mode 100644
index 8dee10570..000000000
--- a/data/hfopenllm_v2/shyamieee/Padma-v7.0/81546997-4dda-45ea-81fb-23db1b3b5cd7.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/shyamieee_Padma-v7.0/1762652580.51635",
-  "retrieved_timestamp": "1762652580.51635",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "shyamieee/Padma-v7.0",
-    "developer": "shyamieee",
-    "inference_platform": "unknown",
-    "id": "shyamieee/Padma-v7.0",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
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-  },
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-      "evaluation_name": "MATH Level 5",
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-        "lower_is_better": false,
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-        "lower_is_better": false,
-        "score_type": "continuous",
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diff --git a/data/hfopenllm_v2/silma-ai/SILMA-9B-Instruct-v1.0/de11a0bf-47ea-444f-bf89-45e9208cfd1a.json b/data/hfopenllm_v2/silma-ai/SILMA-9B-Instruct-v1.0/de11a0bf-47ea-444f-bf89-45e9208cfd1a.json
deleted file mode 100644
index 91f38e983..000000000
--- a/data/hfopenllm_v2/silma-ai/SILMA-9B-Instruct-v1.0/de11a0bf-47ea-444f-bf89-45e9208cfd1a.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/silma-ai_SILMA-9B-Instruct-v1.0/1762652580.516612",
-  "retrieved_timestamp": "1762652580.516613",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
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-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "silma-ai/SILMA-9B-Instruct-v1.0",
-    "developer": "silma-ai",
-    "inference_platform": "unknown",
-    "id": "silma-ai/SILMA-9B-Instruct-v1.0",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Gemma2ForCausalLM",
-      "params_billions": 9.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-    {
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-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
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-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3053691275167785
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.46369791666666665
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-}
diff --git a/data/hfopenllm_v2/silma-ai/SILMA-9B-Instruct-v1.0/ef13bdea-cf73-4ead-b6d7-73a155fa9a79.json b/data/hfopenllm_v2/silma-ai/SILMA-9B-Instruct-v1.0/ef13bdea-cf73-4ead-b6d7-73a155fa9a79.json
new file mode 100644
index 000000000..d7f107192
--- /dev/null
+++ b/data/hfopenllm_v2/silma-ai/SILMA-9B-Instruct-v1.0/ef13bdea-cf73-4ead-b6d7-73a155fa9a79.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/silma-ai_SILMA-9B-Instruct-v1.0/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "SILMA-9B-Instruct-v1.0",
+    "id": "silma-ai/SILMA-9B-Instruct-v1.0",
+    "developer": "silma-ai",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Gemma2ForCausalLM",
+      "params_billions": 9.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5842
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5219
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1163
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3054
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4637
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.392
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/silma-ai/SILMA-Kashif-2B-Instruct-v1.0/2663884f-941c-4e16-8029-b38e3a543733.json b/data/hfopenllm_v2/silma-ai/SILMA-Kashif-2B-Instruct-v1.0/2663884f-941c-4e16-8029-b38e3a543733.json
new file mode 100644
index 000000000..31c0700a3
--- /dev/null
+++ b/data/hfopenllm_v2/silma-ai/SILMA-Kashif-2B-Instruct-v1.0/2663884f-941c-4e16-8029-b38e3a543733.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/silma-ai_SILMA-Kashif-2B-Instruct-v1.0/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "SILMA-Kashif-2B-Instruct-v1.0",
+    "id": "silma-ai/SILMA-Kashif-2B-Instruct-v1.0",
+    "developer": "silma-ai",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Gemma2ForCausalLM",
+      "params_billions": 2.614
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1181
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3793
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0113
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2701
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4043
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2258
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/silma-ai/SILMA-Kashif-2B-Instruct-v1.0/e6926be5-561b-453b-8d5f-e64f380c4a51.json b/data/hfopenllm_v2/silma-ai/SILMA-Kashif-2B-Instruct-v1.0/e6926be5-561b-453b-8d5f-e64f380c4a51.json
deleted file mode 100644
index 5020c2453..000000000
--- a/data/hfopenllm_v2/silma-ai/SILMA-Kashif-2B-Instruct-v1.0/e6926be5-561b-453b-8d5f-e64f380c4a51.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/silma-ai_SILMA-Kashif-2B-Instruct-v1.0/1762652580.516862",
-  "retrieved_timestamp": "1762652580.5168629",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "silma-ai/SILMA-Kashif-2B-Instruct-v1.0",
-    "developer": "silma-ai",
-    "inference_platform": "unknown",
-    "id": "silma-ai/SILMA-Kashif-2B-Instruct-v1.0",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Gemma2ForCausalLM",
-      "params_billions": 2.614
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11807781131841291
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37932201246317715
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.011329305135951661
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2701342281879195
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4042604166666666
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.22581449468085107
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/siqi00/Mistral-7B-DFT/ca7af645-4796-4b31-ae7d-2cbebe5a369b.json b/data/hfopenllm_v2/siqi00/Mistral-7B-DFT/ca7af645-4796-4b31-ae7d-2cbebe5a369b.json
new file mode 100644
index 000000000..6c0b09631
--- /dev/null
+++ b/data/hfopenllm_v2/siqi00/Mistral-7B-DFT/ca7af645-4796-4b31-ae7d-2cbebe5a369b.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/siqi00_Mistral-7B-DFT/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Mistral-7B-DFT",
+    "id": "siqi00/Mistral-7B-DFT",
+    "developer": "siqi00",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5569
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4665
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0378
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3045
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4191
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2963
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/siqi00/Mistral-7B-DFT2/f95e098c-d320-4db1-887d-8c3252bbaf77.json b/data/hfopenllm_v2/siqi00/Mistral-7B-DFT2/f95e098c-d320-4db1-887d-8c3252bbaf77.json
new file mode 100644
index 000000000..e31ef75fe
--- /dev/null
+++ b/data/hfopenllm_v2/siqi00/Mistral-7B-DFT2/f95e098c-d320-4db1-887d-8c3252bbaf77.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/siqi00_Mistral-7B-DFT2/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Mistral-7B-DFT2",
+    "id": "siqi00/Mistral-7B-DFT2",
+    "developer": "siqi00",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5804
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3968
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0453
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2995
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4401
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2852
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/skumar9/Llama-medx_v2/2bbf6dc9-8dd5-4dee-908e-d4a8fc03bc84.json b/data/hfopenllm_v2/skumar9/Llama-medx_v2/2bbf6dc9-8dd5-4dee-908e-d4a8fc03bc84.json
new file mode 100644
index 000000000..675a3eeee
--- /dev/null
+++ b/data/hfopenllm_v2/skumar9/Llama-medx_v2/2bbf6dc9-8dd5-4dee-908e-d4a8fc03bc84.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/skumar9_Llama-medx_v2/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-medx_v2",
+    "id": "skumar9/Llama-medx_v2",
+    "developer": "skumar9",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4462
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4909
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0914
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3054
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3661
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3463
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/skymizer/Llama2-7b-sft-chat-custom-template-dpo/24473e8a-2631-44b5-9cc2-81f0669d8032.json b/data/hfopenllm_v2/skymizer/Llama2-7b-sft-chat-custom-template-dpo/24473e8a-2631-44b5-9cc2-81f0669d8032.json
deleted file mode 100644
index f9000c0d0..000000000
--- a/data/hfopenllm_v2/skymizer/Llama2-7b-sft-chat-custom-template-dpo/24473e8a-2631-44b5-9cc2-81f0669d8032.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/skymizer_Llama2-7b-sft-chat-custom-template-dpo/1762652580.517826",
-  "retrieved_timestamp": "1762652580.517826",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "skymizer/Llama2-7b-sft-chat-custom-template-dpo",
-    "developer": "skymizer",
-    "inference_platform": "unknown",
-    "id": "skymizer/Llama2-7b-sft-chat-custom-template-dpo",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 6.738
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2352823840742563
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.36884662302661564
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.014350453172205438
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.23909395973154363
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.44286458333333334
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.19464760638297873
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/skymizer/Llama2-7b-sft-chat-custom-template-dpo/5f4edfdb-a62c-4410-83a3-1ceb15d2e7b0.json b/data/hfopenllm_v2/skymizer/Llama2-7b-sft-chat-custom-template-dpo/5f4edfdb-a62c-4410-83a3-1ceb15d2e7b0.json
new file mode 100644
index 000000000..69c7e0621
--- /dev/null
+++ b/data/hfopenllm_v2/skymizer/Llama2-7b-sft-chat-custom-template-dpo/5f4edfdb-a62c-4410-83a3-1ceb15d2e7b0.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/skymizer_Llama2-7b-sft-chat-custom-template-dpo/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama2-7b-sft-chat-custom-template-dpo",
+    "id": "skymizer/Llama2-7b-sft-chat-custom-template-dpo",
+    "developer": "skymizer",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 6.738
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2353
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3688
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0144
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2391
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4429
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1946
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/someon98/qwen-CoMa-0.5b/aadfae06-73b6-4306-b056-0a733b9bd8f4.json b/data/hfopenllm_v2/someon98/qwen-CoMa-0.5b/aadfae06-73b6-4306-b056-0a733b9bd8f4.json
new file mode 100644
index 000000000..5b36f35c5
--- /dev/null
+++ b/data/hfopenllm_v2/someon98/qwen-CoMa-0.5b/aadfae06-73b6-4306-b056-0a733b9bd8f4.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/someon98_qwen-CoMa-0.5b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "qwen-CoMa-0.5b",
+    "id": "someon98/qwen-CoMa-0.5b",
+    "developer": "someon98",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 0.63
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2277
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2953
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0045
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2399
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4046
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1099
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/sometimesanotion/ChocoTrio-14B-v1/c2034822-689f-4e8b-9575-b63081584aec.json b/data/hfopenllm_v2/sometimesanotion/ChocoTrio-14B-v1/c2034822-689f-4e8b-9575-b63081584aec.json
deleted file mode 100644
index df18a5cd0..000000000
--- a/data/hfopenllm_v2/sometimesanotion/ChocoTrio-14B-v1/c2034822-689f-4e8b-9575-b63081584aec.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/sometimesanotion_ChocoTrio-14B-v1/1762652580.518315",
-  "retrieved_timestamp": "1762652580.518315",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "sometimesanotion/ChocoTrio-14B-v1",
-    "developer": "sometimesanotion",
-    "inference_platform": "unknown",
-    "id": "sometimesanotion/ChocoTrio-14B-v1",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 14.766
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7088912973133508
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6505840125855428
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
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-        "score": 0.3972809667673716
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3850671140939597
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4820520833333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5369847074468085
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/sometimesanotion/ChocoTrio-14B-v1/cfecbfbc-46c3-4dd3-8bd9-afe4cd386973.json b/data/hfopenllm_v2/sometimesanotion/ChocoTrio-14B-v1/cfecbfbc-46c3-4dd3-8bd9-afe4cd386973.json
new file mode 100644
index 000000000..9b58091a6
--- /dev/null
+++ b/data/hfopenllm_v2/sometimesanotion/ChocoTrio-14B-v1/cfecbfbc-46c3-4dd3-8bd9-afe4cd386973.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/sometimesanotion_ChocoTrio-14B-v1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "ChocoTrio-14B-v1",
+    "id": "sometimesanotion/ChocoTrio-14B-v1",
+    "developer": "sometimesanotion",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.766
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7089
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6506
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3973
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3851
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4821
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.537
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/sometimesanotion/IF-reasoning-experiment-40/162b8329-ad84-463b-bda7-7383edda04d8.json b/data/hfopenllm_v2/sometimesanotion/IF-reasoning-experiment-40/162b8329-ad84-463b-bda7-7383edda04d8.json
deleted file mode 100644
index d65ac6adf..000000000
--- a/data/hfopenllm_v2/sometimesanotion/IF-reasoning-experiment-40/162b8329-ad84-463b-bda7-7383edda04d8.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/sometimesanotion_IF-reasoning-experiment-40/1762652580.518558",
-  "retrieved_timestamp": "1762652580.518559",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "sometimesanotion/IF-reasoning-experiment-40",
-    "developer": "sometimesanotion",
-    "inference_platform": "unknown",
-    "id": "sometimesanotion/IF-reasoning-experiment-40",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 14.0
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3800335570469799
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5194166666666666
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5024933510638298
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/sometimesanotion/IF-reasoning-experiment-40/97640dd1-d415-4b56-818c-cdcede3c52fd.json b/data/hfopenllm_v2/sometimesanotion/IF-reasoning-experiment-40/97640dd1-d415-4b56-818c-cdcede3c52fd.json
new file mode 100644
index 000000000..3e9ffdabd
--- /dev/null
+++ b/data/hfopenllm_v2/sometimesanotion/IF-reasoning-experiment-40/97640dd1-d415-4b56-818c-cdcede3c52fd.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/sometimesanotion_IF-reasoning-experiment-40/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "IF-reasoning-experiment-40",
+    "id": "sometimesanotion/IF-reasoning-experiment-40",
+    "developer": "sometimesanotion",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.0
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.633
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6112
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3716
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.38
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5194
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5025
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/sometimesanotion/IF-reasoning-experiment-80/b1097c42-10fe-4892-8e85-60385ecf35bf.json b/data/hfopenllm_v2/sometimesanotion/IF-reasoning-experiment-80/b1097c42-10fe-4892-8e85-60385ecf35bf.json
deleted file mode 100644
index 36826867d..000000000
--- a/data/hfopenllm_v2/sometimesanotion/IF-reasoning-experiment-80/b1097c42-10fe-4892-8e85-60385ecf35bf.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/sometimesanotion_IF-reasoning-experiment-80/1762652580.5187662",
-  "retrieved_timestamp": "1762652580.518767",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "sometimesanotion/IF-reasoning-experiment-80",
-    "developer": "sometimesanotion",
-    "inference_platform": "unknown",
-    "id": "sometimesanotion/IF-reasoning-experiment-80",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.383
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5462761029623622
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42103836132239286
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.09894259818731117
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.28439597315436244
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5024583333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3367686170212766
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/sometimesanotion/IF-reasoning-experiment-80/b750c460-ef70-4abf-b77d-118a82039598.json b/data/hfopenllm_v2/sometimesanotion/IF-reasoning-experiment-80/b750c460-ef70-4abf-b77d-118a82039598.json
new file mode 100644
index 000000000..f511af28e
--- /dev/null
+++ b/data/hfopenllm_v2/sometimesanotion/IF-reasoning-experiment-80/b750c460-ef70-4abf-b77d-118a82039598.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/sometimesanotion_IF-reasoning-experiment-80/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "IF-reasoning-experiment-80",
+    "id": "sometimesanotion/IF-reasoning-experiment-80",
+    "developer": "sometimesanotion",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.383
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5463
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.421
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0989
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2844
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5025
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3368
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/sometimesanotion/KytheraMix-7B-v0.2/c50f0ef7-18e4-4f03-8262-ee1519c59b7f.json b/data/hfopenllm_v2/sometimesanotion/KytheraMix-7B-v0.2/c50f0ef7-18e4-4f03-8262-ee1519c59b7f.json
deleted file mode 100644
index 8bca25881..000000000
--- a/data/hfopenllm_v2/sometimesanotion/KytheraMix-7B-v0.2/c50f0ef7-18e4-4f03-8262-ee1519c59b7f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/sometimesanotion_KytheraMix-7B-v0.2/1762652580.5189881",
-  "retrieved_timestamp": "1762652580.5189881",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "sometimesanotion/KytheraMix-7B-v0.2",
-    "developer": "sometimesanotion",
-    "inference_platform": "unknown",
-    "id": "sometimesanotion/KytheraMix-7B-v0.2",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.613
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6128705168951715
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5635202746804572
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.29229607250755285
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.33557046979865773
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.45941666666666664
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.45054853723404253
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/sometimesanotion/KytheraMix-7B-v0.2/f4c20519-9e33-4698-a17a-07e5fe7d2707.json b/data/hfopenllm_v2/sometimesanotion/KytheraMix-7B-v0.2/f4c20519-9e33-4698-a17a-07e5fe7d2707.json
new file mode 100644
index 000000000..99248458d
--- /dev/null
+++ b/data/hfopenllm_v2/sometimesanotion/KytheraMix-7B-v0.2/f4c20519-9e33-4698-a17a-07e5fe7d2707.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/sometimesanotion_KytheraMix-7B-v0.2/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "KytheraMix-7B-v0.2",
+    "id": "sometimesanotion/KytheraMix-7B-v0.2",
+    "developer": "sometimesanotion",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.613
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6129
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5635
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2923
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3356
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4594
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4505
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/sometimesanotion/Lamarck-14B-v0.1-experimental/0f204733-55b4-4c06-bd12-dbc2e2593abd.json b/data/hfopenllm_v2/sometimesanotion/Lamarck-14B-v0.1-experimental/0f204733-55b4-4c06-bd12-dbc2e2593abd.json
new file mode 100644
index 000000000..f40410446
--- /dev/null
+++ b/data/hfopenllm_v2/sometimesanotion/Lamarck-14B-v0.1-experimental/0f204733-55b4-4c06-bd12-dbc2e2593abd.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/sometimesanotion_Lamarck-14B-v0.1-experimental/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Lamarck-14B-v0.1-experimental",
+    "id": "sometimesanotion/Lamarck-14B-v0.1-experimental",
+    "developer": "sometimesanotion",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.766
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5354
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6583
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.358
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3817
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4728
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5408
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/sometimesanotion/Lamarck-14B-v0.1-experimental/aa2b9fb3-77ca-4a48-b3dd-77879220a6b8.json b/data/hfopenllm_v2/sometimesanotion/Lamarck-14B-v0.1-experimental/aa2b9fb3-77ca-4a48-b3dd-77879220a6b8.json
deleted file mode 100644
index f9b660c73..000000000
--- a/data/hfopenllm_v2/sometimesanotion/Lamarck-14B-v0.1-experimental/aa2b9fb3-77ca-4a48-b3dd-77879220a6b8.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/sometimesanotion_Lamarck-14B-v0.1-experimental/1762652580.519198",
-  "retrieved_timestamp": "1762652580.519199",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "sometimesanotion/Lamarck-14B-v0.1-experimental",
-    "developer": "sometimesanotion",
-    "inference_platform": "unknown",
-    "id": "sometimesanotion/Lamarck-14B-v0.1-experimental",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 14.766
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5353850006870658
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6582539239967329
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3580060422960725
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.38171140939597314
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.47284375
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5408078457446809
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/sometimesanotion/Lamarck-14B-v0.3/0bb226ed-fe88-4678-9b50-f77883ceb708.json b/data/hfopenllm_v2/sometimesanotion/Lamarck-14B-v0.3/0bb226ed-fe88-4678-9b50-f77883ceb708.json
new file mode 100644
index 000000000..27f7815dc
--- /dev/null
+++ b/data/hfopenllm_v2/sometimesanotion/Lamarck-14B-v0.3/0bb226ed-fe88-4678-9b50-f77883ceb708.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/sometimesanotion_Lamarck-14B-v0.3/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Lamarck-14B-v0.3",
+    "id": "sometimesanotion/Lamarck-14B-v0.3",
+    "developer": "sometimesanotion",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.766
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5032
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6611
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3406
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3884
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4688
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5411
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/sometimesanotion/Lamarck-14B-v0.3/6103d107-0eb8-4b0e-8947-d5c7e7cb62f6.json b/data/hfopenllm_v2/sometimesanotion/Lamarck-14B-v0.3/6103d107-0eb8-4b0e-8947-d5c7e7cb62f6.json
deleted file mode 100644
index 24ff91a22..000000000
--- a/data/hfopenllm_v2/sometimesanotion/Lamarck-14B-v0.3/6103d107-0eb8-4b0e-8947-d5c7e7cb62f6.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/sometimesanotion_Lamarck-14B-v0.3/1762652580.519407",
-  "retrieved_timestamp": "1762652580.5194082",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "sometimesanotion/Lamarck-14B-v0.3",
-    "developer": "sometimesanotion",
-    "inference_platform": "unknown",
-    "id": "sometimesanotion/Lamarck-14B-v0.3",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 14.766
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5031616111916382
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6611400465373158
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3406344410876133
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3884228187919463
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4688125
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5410571808510638
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/sometimesanotion/Lamarck-14B-v0.4-Qwenvergence/fb297e45-9e14-4853-8384-75c187b28a9b.json b/data/hfopenllm_v2/sometimesanotion/Lamarck-14B-v0.4-Qwenvergence/fb297e45-9e14-4853-8384-75c187b28a9b.json
new file mode 100644
index 000000000..96418c26f
--- /dev/null
+++ b/data/hfopenllm_v2/sometimesanotion/Lamarck-14B-v0.4-Qwenvergence/fb297e45-9e14-4853-8384-75c187b28a9b.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/sometimesanotion_Lamarck-14B-v0.4-Qwenvergence/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Lamarck-14B-v0.4-Qwenvergence",
+    "id": "sometimesanotion/Lamarck-14B-v0.4-Qwenvergence",
+    "developer": "sometimesanotion",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.766
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4906
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6535
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3399
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3784
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4847
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5406
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/sometimesanotion/Lamarck-14B-v0.6-002-model_stock/4f6eba27-2ab4-4b33-9568-814d15fbd6b9.json b/data/hfopenllm_v2/sometimesanotion/Lamarck-14B-v0.6-002-model_stock/4f6eba27-2ab4-4b33-9568-814d15fbd6b9.json
new file mode 100644
index 000000000..d6ddf3a3c
--- /dev/null
+++ b/data/hfopenllm_v2/sometimesanotion/Lamarck-14B-v0.6-002-model_stock/4f6eba27-2ab4-4b33-9568-814d15fbd6b9.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/sometimesanotion_Lamarck-14B-v0.6-002-model_stock/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Lamarck-14B-v0.6-002-model_stock",
+    "id": "sometimesanotion/Lamarck-14B-v0.6-002-model_stock",
+    "developer": "sometimesanotion",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.0
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6692
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6143
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3776
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3742
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.518
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5054
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/sometimesanotion/Lamarck-14B-v0.6-002-model_stock/bd904778-1ad9-48fe-a12e-4b62ce46bd0b.json b/data/hfopenllm_v2/sometimesanotion/Lamarck-14B-v0.6-002-model_stock/bd904778-1ad9-48fe-a12e-4b62ce46bd0b.json
deleted file mode 100644
index a5da960dd..000000000
--- a/data/hfopenllm_v2/sometimesanotion/Lamarck-14B-v0.6-002-model_stock/bd904778-1ad9-48fe-a12e-4b62ce46bd0b.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/sometimesanotion_Lamarck-14B-v0.6-002-model_stock/1762652580.520087",
-  "retrieved_timestamp": "1762652580.520087",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "sometimesanotion/Lamarck-14B-v0.6-002-model_stock",
-    "developer": "sometimesanotion",
-    "inference_platform": "unknown",
-    "id": "sometimesanotion/Lamarck-14B-v0.6-002-model_stock",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 14.0
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.669224324791553
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6143349188724702
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3776435045317221
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37416107382550334
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5180208333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5054022606382979
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/sometimesanotion/Lamarck-14B-v0.6-model_stock/92d4d9ca-d19f-45c5-b506-5b1039100c92.json b/data/hfopenllm_v2/sometimesanotion/Lamarck-14B-v0.6-model_stock/92d4d9ca-d19f-45c5-b506-5b1039100c92.json
deleted file mode 100644
index ec174ee62..000000000
--- a/data/hfopenllm_v2/sometimesanotion/Lamarck-14B-v0.6-model_stock/92d4d9ca-d19f-45c5-b506-5b1039100c92.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/sometimesanotion_Lamarck-14B-v0.6-model_stock/1762652580.520298",
-  "retrieved_timestamp": "1762652580.520299",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "sometimesanotion/Lamarck-14B-v0.6-model_stock",
-    "developer": "sometimesanotion",
-    "inference_platform": "unknown",
-    "id": "sometimesanotion/Lamarck-14B-v0.6-model_stock",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 14.0
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6789662539838739
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6269436532753222
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4244712990936556
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.38422818791946306
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.50065625
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.519780585106383
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/sometimesanotion/Lamarck-14B-v0.6-model_stock/c3bc3d69-a987-4dd0-b6a5-e0ecc50034fb.json b/data/hfopenllm_v2/sometimesanotion/Lamarck-14B-v0.6-model_stock/c3bc3d69-a987-4dd0-b6a5-e0ecc50034fb.json
new file mode 100644
index 000000000..509a05a43
--- /dev/null
+++ b/data/hfopenllm_v2/sometimesanotion/Lamarck-14B-v0.6-model_stock/c3bc3d69-a987-4dd0-b6a5-e0ecc50034fb.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/sometimesanotion_Lamarck-14B-v0.6-model_stock/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Lamarck-14B-v0.6-model_stock",
+    "id": "sometimesanotion/Lamarck-14B-v0.6-model_stock",
+    "developer": "sometimesanotion",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.0
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.679
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6269
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4245
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3842
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5007
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5198
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/sometimesanotion/Lamarck-14B-v0.6/5d02ba78-cf8b-44ee-a1b3-e51ecf437d89.json b/data/hfopenllm_v2/sometimesanotion/Lamarck-14B-v0.6/5d02ba78-cf8b-44ee-a1b3-e51ecf437d89.json
new file mode 100644
index 000000000..0f6ebd239
--- /dev/null
+++ b/data/hfopenllm_v2/sometimesanotion/Lamarck-14B-v0.6/5d02ba78-cf8b-44ee-a1b3-e51ecf437d89.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/sometimesanotion_Lamarck-14B-v0.6/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Lamarck-14B-v0.6",
+    "id": "sometimesanotion/Lamarck-14B-v0.6",
+    "developer": "sometimesanotion",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.766
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6973
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.646
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4041
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3893
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4847
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.54
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/sometimesanotion/Lamarck-14B-v0.6/dd7005a5-281d-42e9-9916-663b1641718f.json b/data/hfopenllm_v2/sometimesanotion/Lamarck-14B-v0.6/dd7005a5-281d-42e9-9916-663b1641718f.json
deleted file mode 100644
index 07dc77eb5..000000000
--- a/data/hfopenllm_v2/sometimesanotion/Lamarck-14B-v0.6/dd7005a5-281d-42e9-9916-663b1641718f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/sometimesanotion_Lamarck-14B-v0.6/1762652580.519876",
-  "retrieved_timestamp": "1762652580.519876",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "sometimesanotion/Lamarck-14B-v0.6",
-    "developer": "sometimesanotion",
-    "inference_platform": "unknown",
-    "id": "sometimesanotion/Lamarck-14B-v0.6",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 14.766
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6972510716011294
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6460312233782931
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4040785498489426
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.38926174496644295
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4846875
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5399767287234043
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/sometimesanotion/Lamarck-14B-v0.7-Fusion/480b1187-5f66-4414-84b1-4c6ce1ebf137.json b/data/hfopenllm_v2/sometimesanotion/Lamarck-14B-v0.7-Fusion/480b1187-5f66-4414-84b1-4c6ce1ebf137.json
deleted file mode 100644
index a7ec7a290..000000000
--- a/data/hfopenllm_v2/sometimesanotion/Lamarck-14B-v0.7-Fusion/480b1187-5f66-4414-84b1-4c6ce1ebf137.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/sometimesanotion_Lamarck-14B-v0.7-Fusion/1762652580.52051",
-  "retrieved_timestamp": "1762652580.520511",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "sometimesanotion/Lamarck-14B-v0.7-Fusion",
-    "developer": "sometimesanotion",
-    "inference_platform": "unknown",
-    "id": "sometimesanotion/Lamarck-14B-v0.7-Fusion",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 14.766
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6821134589555713
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6543636625652262
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4040785498489426
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.401006711409396
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.49913541666666666
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5390625
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/sometimesanotion/Lamarck-14B-v0.7-Fusion/4a43fa67-2438-4c2a-b17b-9d2f221e5a86.json b/data/hfopenllm_v2/sometimesanotion/Lamarck-14B-v0.7-Fusion/4a43fa67-2438-4c2a-b17b-9d2f221e5a86.json
new file mode 100644
index 000000000..1e00d79b8
--- /dev/null
+++ b/data/hfopenllm_v2/sometimesanotion/Lamarck-14B-v0.7-Fusion/4a43fa67-2438-4c2a-b17b-9d2f221e5a86.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/sometimesanotion_Lamarck-14B-v0.7-Fusion/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Lamarck-14B-v0.7-Fusion",
+    "id": "sometimesanotion/Lamarck-14B-v0.7-Fusion",
+    "developer": "sometimesanotion",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.766
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6821
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6544
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4041
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.401
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4991
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5391
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/sometimesanotion/Lamarck-14B-v0.7-rc1/2c044767-1169-48c6-9e37-e9d1e35f4cfe.json b/data/hfopenllm_v2/sometimesanotion/Lamarck-14B-v0.7-rc1/2c044767-1169-48c6-9e37-e9d1e35f4cfe.json
new file mode 100644
index 000000000..0e64b71d7
--- /dev/null
+++ b/data/hfopenllm_v2/sometimesanotion/Lamarck-14B-v0.7-rc1/2c044767-1169-48c6-9e37-e9d1e35f4cfe.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/sometimesanotion_Lamarck-14B-v0.7-rc1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Lamarck-14B-v0.7-rc1",
+    "id": "sometimesanotion/Lamarck-14B-v0.7-rc1",
+    "developer": "sometimesanotion",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.766
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7305
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6486
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3852
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3893
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4715
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5416
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/sometimesanotion/Lamarck-14B-v0.7-rc1/5919f71f-8d7b-4cce-a7ce-01680c08acf2.json b/data/hfopenllm_v2/sometimesanotion/Lamarck-14B-v0.7-rc1/5919f71f-8d7b-4cce-a7ce-01680c08acf2.json
deleted file mode 100644
index 423595cc7..000000000
--- a/data/hfopenllm_v2/sometimesanotion/Lamarck-14B-v0.7-rc1/5919f71f-8d7b-4cce-a7ce-01680c08acf2.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/sometimesanotion_Lamarck-14B-v0.7-rc1/1762652580.520714",
-  "retrieved_timestamp": "1762652580.520715",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "sometimesanotion/Lamarck-14B-v0.7-rc1",
-    "developer": "sometimesanotion",
-    "inference_platform": "unknown",
-    "id": "sometimesanotion/Lamarck-14B-v0.7-rc1",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 14.766
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7305482785675341
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6486027992626241
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-      "score_details": {
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-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.38926174496644295
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.47147916666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5415558510638298
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/sometimesanotion/Lamarck-14B-v0.7-rc4/b3b9b1a5-4495-4649-9943-58986d94fcb1.json b/data/hfopenllm_v2/sometimesanotion/Lamarck-14B-v0.7-rc4/b3b9b1a5-4495-4649-9943-58986d94fcb1.json
deleted file mode 100644
index 3a6fbb5b0..000000000
--- a/data/hfopenllm_v2/sometimesanotion/Lamarck-14B-v0.7-rc4/b3b9b1a5-4495-4649-9943-58986d94fcb1.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/sometimesanotion_Lamarck-14B-v0.7-rc4/1762652580.520921",
-  "retrieved_timestamp": "1762652580.5209222",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "sometimesanotion/Lamarck-14B-v0.7-rc4",
-    "developer": "sometimesanotion",
-    "inference_platform": "unknown",
-    "id": "sometimesanotion/Lamarck-14B-v0.7-rc4",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 14.766
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7210811757248545
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6509652911243554
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4025679758308157
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.38926174496644295
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4911979166666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5399767287234043
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/sometimesanotion/Lamarck-14B-v0.7-rc4/bad67b35-d9ef-417a-955b-9c33e87cb927.json b/data/hfopenllm_v2/sometimesanotion/Lamarck-14B-v0.7-rc4/bad67b35-d9ef-417a-955b-9c33e87cb927.json
new file mode 100644
index 000000000..ebc21eef2
--- /dev/null
+++ b/data/hfopenllm_v2/sometimesanotion/Lamarck-14B-v0.7-rc4/bad67b35-d9ef-417a-955b-9c33e87cb927.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/sometimesanotion_Lamarck-14B-v0.7-rc4/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Lamarck-14B-v0.7-rc4",
+    "id": "sometimesanotion/Lamarck-14B-v0.7-rc4",
+    "developer": "sometimesanotion",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.766
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7211
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.651
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4026
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3893
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4912
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.54
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/sometimesanotion/LamarckInfusion-14B-v1/60eaa315-f489-405d-a67d-7f1312e90cab.json b/data/hfopenllm_v2/sometimesanotion/LamarckInfusion-14B-v1/60eaa315-f489-405d-a67d-7f1312e90cab.json
new file mode 100644
index 000000000..1c1c6efe8
--- /dev/null
+++ b/data/hfopenllm_v2/sometimesanotion/LamarckInfusion-14B-v1/60eaa315-f489-405d-a67d-7f1312e90cab.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/sometimesanotion_LamarckInfusion-14B-v1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "LamarckInfusion-14B-v1",
+    "id": "sometimesanotion/LamarckInfusion-14B-v1",
+    "developer": "sometimesanotion",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.766
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7198
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6539
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4169
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3909
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4899
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5376
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/sometimesanotion/LamarckInfusion-14B-v1/e7577048-db59-4629-aeb0-f50b72cbb827.json b/data/hfopenllm_v2/sometimesanotion/LamarckInfusion-14B-v1/e7577048-db59-4629-aeb0-f50b72cbb827.json
deleted file mode 100644
index e66b41679..000000000
--- a/data/hfopenllm_v2/sometimesanotion/LamarckInfusion-14B-v1/e7577048-db59-4629-aeb0-f50b72cbb827.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/sometimesanotion_LamarckInfusion-14B-v1/1762652580.521131",
-  "retrieved_timestamp": "1762652580.521132",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "sometimesanotion/LamarckInfusion-14B-v1",
-    "developer": "sometimesanotion",
-    "inference_platform": "unknown",
-    "id": "sometimesanotion/LamarckInfusion-14B-v1",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 14.766
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7198322672730577
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6539252513912222
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4169184290030212
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.39093959731543626
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.48989583333333336
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5376496010638298
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/sometimesanotion/LamarckInfusion-14B-v2-hi/50de312a-293d-41a4-8bee-4feb0c148b90.json b/data/hfopenllm_v2/sometimesanotion/LamarckInfusion-14B-v2-hi/50de312a-293d-41a4-8bee-4feb0c148b90.json
new file mode 100644
index 000000000..a6c8039e6
--- /dev/null
+++ b/data/hfopenllm_v2/sometimesanotion/LamarckInfusion-14B-v2-hi/50de312a-293d-41a4-8bee-4feb0c148b90.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/sometimesanotion_LamarckInfusion-14B-v2-hi/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "LamarckInfusion-14B-v2-hi",
+    "id": "sometimesanotion/LamarckInfusion-14B-v2-hi",
+    "developer": "sometimesanotion",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.766
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6855
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6555
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.423
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3884
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4847
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5405
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/sometimesanotion/LamarckInfusion-14B-v2-hi/e4b943ea-3e97-490b-af6d-ad7dc0fdf012.json b/data/hfopenllm_v2/sometimesanotion/LamarckInfusion-14B-v2-hi/e4b943ea-3e97-490b-af6d-ad7dc0fdf012.json
deleted file mode 100644
index 161224be7..000000000
--- a/data/hfopenllm_v2/sometimesanotion/LamarckInfusion-14B-v2-hi/e4b943ea-3e97-490b-af6d-ad7dc0fdf012.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/sometimesanotion_LamarckInfusion-14B-v2-hi/1762652580.521555",
-  "retrieved_timestamp": "1762652580.521556",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "sometimesanotion/LamarckInfusion-14B-v2-hi",
-    "developer": "sometimesanotion",
-    "inference_platform": "unknown",
-    "id": "sometimesanotion/LamarckInfusion-14B-v2-hi",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 14.766
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.685485622592499
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6555026541798943
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4229607250755287
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3884228187919463
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.48471875000000003
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5404753989361702
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/sometimesanotion/LamarckInfusion-14B-v2-lo/56f24cac-394c-4439-8f2e-8270e7519bda.json b/data/hfopenllm_v2/sometimesanotion/LamarckInfusion-14B-v2-lo/56f24cac-394c-4439-8f2e-8270e7519bda.json
new file mode 100644
index 000000000..b52d3f3f1
--- /dev/null
+++ b/data/hfopenllm_v2/sometimesanotion/LamarckInfusion-14B-v2-lo/56f24cac-394c-4439-8f2e-8270e7519bda.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/sometimesanotion_LamarckInfusion-14B-v2-lo/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "LamarckInfusion-14B-v2-lo",
+    "id": "sometimesanotion/LamarckInfusion-14B-v2-lo",
+    "developer": "sometimesanotion",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.766
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6788
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6528
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4237
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3859
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4991
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5397
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/sometimesanotion/LamarckInfusion-14B-v2-lo/57084771-cc66-485c-99ca-470556e14c1b.json b/data/hfopenllm_v2/sometimesanotion/LamarckInfusion-14B-v2-lo/57084771-cc66-485c-99ca-470556e14c1b.json
deleted file mode 100644
index 9675ebf9c..000000000
--- a/data/hfopenllm_v2/sometimesanotion/LamarckInfusion-14B-v2-lo/57084771-cc66-485c-99ca-470556e14c1b.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/sometimesanotion_LamarckInfusion-14B-v2-lo/1762652580.52177",
-  "retrieved_timestamp": "1762652580.521771",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "sometimesanotion/LamarckInfusion-14B-v2-lo",
-    "developer": "sometimesanotion",
-    "inference_platform": "unknown",
-    "id": "sometimesanotion/LamarckInfusion-14B-v2-lo",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 14.766
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6787911630030541
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-        "lower_is_better": false,
-        "score_type": "continuous",
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diff --git a/data/hfopenllm_v2/sometimesanotion/LamarckInfusion-14B-v2/8efa1423-0a39-4674-a94d-3d92448010d6.json b/data/hfopenllm_v2/sometimesanotion/LamarckInfusion-14B-v2/8efa1423-0a39-4674-a94d-3d92448010d6.json
new file mode 100644
index 000000000..c108f183f
--- /dev/null
+++ b/data/hfopenllm_v2/sometimesanotion/LamarckInfusion-14B-v2/8efa1423-0a39-4674-a94d-3d92448010d6.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/sometimesanotion_LamarckInfusion-14B-v2/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "LamarckInfusion-14B-v2",
+    "id": "sometimesanotion/LamarckInfusion-14B-v2",
+    "developer": "sometimesanotion",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.766
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6812
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6564
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4388
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3876
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4993
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5416
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/sometimesanotion/LamarckInfusion-14B-v2/95f82b68-6135-4d7d-a2f8-b589d4041776.json b/data/hfopenllm_v2/sometimesanotion/LamarckInfusion-14B-v2/95f82b68-6135-4d7d-a2f8-b589d4041776.json
deleted file mode 100644
index 237a9d662..000000000
--- a/data/hfopenllm_v2/sometimesanotion/LamarckInfusion-14B-v2/95f82b68-6135-4d7d-a2f8-b589d4041776.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/sometimesanotion_LamarckInfusion-14B-v2/1762652580.521342",
-  "retrieved_timestamp": "1762652580.521342",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "sometimesanotion/LamarckInfusion-14B-v2",
-    "developer": "sometimesanotion",
-    "inference_platform": "unknown",
-    "id": "sometimesanotion/LamarckInfusion-14B-v2",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 14.766
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6811892445378263
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6564434429766982
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.438821752265861
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3875838926174497
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4992604166666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5416389627659575
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/sometimesanotion/LamarckInfusion-14B-v3/350b3491-cba8-46b4-a07f-3d1277270530.json b/data/hfopenllm_v2/sometimesanotion/LamarckInfusion-14B-v3/350b3491-cba8-46b4-a07f-3d1277270530.json
new file mode 100644
index 000000000..54ff84883
--- /dev/null
+++ b/data/hfopenllm_v2/sometimesanotion/LamarckInfusion-14B-v3/350b3491-cba8-46b4-a07f-3d1277270530.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/sometimesanotion_LamarckInfusion-14B-v3/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "LamarckInfusion-14B-v3",
+    "id": "sometimesanotion/LamarckInfusion-14B-v3",
+    "developer": "sometimesanotion",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.766
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7131
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6518
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4124
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3867
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.482
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5407
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/sometimesanotion/LamarckInfusion-14B-v3/8fe84e89-c582-44d0-b961-d6ed4d889193.json b/data/hfopenllm_v2/sometimesanotion/LamarckInfusion-14B-v3/8fe84e89-c582-44d0-b961-d6ed4d889193.json
deleted file mode 100644
index 1439c7f71..000000000
--- a/data/hfopenllm_v2/sometimesanotion/LamarckInfusion-14B-v3/8fe84e89-c582-44d0-b961-d6ed4d889193.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/sometimesanotion_LamarckInfusion-14B-v3/1762652580.5219798",
-  "retrieved_timestamp": "1762652580.5219798",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "sometimesanotion/LamarckInfusion-14B-v3",
-    "developer": "sometimesanotion",
-    "inference_platform": "unknown",
-    "id": "sometimesanotion/LamarckInfusion-14B-v3",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 14.766
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7131378076836128
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6517667892516962
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4123867069486405
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.38674496644295303
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.48202083333333334
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5407247340425532
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/sometimesanotion/Qwen-14B-ProseStock-v4/0741ead7-24f3-49b0-9967-f726df84f78a.json b/data/hfopenllm_v2/sometimesanotion/Qwen-14B-ProseStock-v4/0741ead7-24f3-49b0-9967-f726df84f78a.json
new file mode 100644
index 000000000..37d385cfe
--- /dev/null
+++ b/data/hfopenllm_v2/sometimesanotion/Qwen-14B-ProseStock-v4/0741ead7-24f3-49b0-9967-f726df84f78a.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/sometimesanotion_Qwen-14B-ProseStock-v4/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen-14B-ProseStock-v4",
+    "id": "sometimesanotion/Qwen-14B-ProseStock-v4",
+    "developer": "sometimesanotion",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.0
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4942
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6498
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.364
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3884
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/sometimesanotion/Qwen-2.5-14B-Virmarckeoso/1ea4d10e-e099-4967-8c43-e84acaeb40be.json b/data/hfopenllm_v2/sometimesanotion/Qwen-2.5-14B-Virmarckeoso/1ea4d10e-e099-4967-8c43-e84acaeb40be.json
new file mode 100644
index 000000000..fb27ac194
--- /dev/null
+++ b/data/hfopenllm_v2/sometimesanotion/Qwen-2.5-14B-Virmarckeoso/1ea4d10e-e099-4967-8c43-e84acaeb40be.json
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/sometimesanotion/Qwen2.5-14B-Vimarckoso-v2/6c78d9f7-a61e-4f65-ac57-61597f735541.json b/data/hfopenllm_v2/sometimesanotion/Qwen2.5-14B-Vimarckoso-v2/6c78d9f7-a61e-4f65-ac57-61597f735541.json
new file mode 100644
index 000000000..916ea88f9
--- /dev/null
+++ b/data/hfopenllm_v2/sometimesanotion/Qwen2.5-14B-Vimarckoso-v2/6c78d9f7-a61e-4f65-ac57-61597f735541.json
@@ -0,0 +1,132 @@
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/sometimesanotion/Qwen2.5-14B-Vimarckoso-v3-IF-Variant/e9bcfb1f-c688-4e7a-918a-e697adaf7aa5.json b/data/hfopenllm_v2/sometimesanotion/Qwen2.5-14B-Vimarckoso-v3-IF-Variant/e9bcfb1f-c688-4e7a-918a-e697adaf7aa5.json
new file mode 100644
index 000000000..5757a1b7a
--- /dev/null
+++ b/data/hfopenllm_v2/sometimesanotion/Qwen2.5-14B-Vimarckoso-v3-IF-Variant/e9bcfb1f-c688-4e7a-918a-e697adaf7aa5.json
@@ -0,0 +1,132 @@
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/sometimesanotion/Qwen2.5-14B-Vimarckoso-v3-Prose01/153cfe7f-c27a-40b8-b8d2-54351f26f583.json b/data/hfopenllm_v2/sometimesanotion/Qwen2.5-14B-Vimarckoso-v3-Prose01/153cfe7f-c27a-40b8-b8d2-54351f26f583.json
new file mode 100644
index 000000000..874b6da06
--- /dev/null
+++ b/data/hfopenllm_v2/sometimesanotion/Qwen2.5-14B-Vimarckoso-v3-Prose01/153cfe7f-c27a-40b8-b8d2-54351f26f583.json
@@ -0,0 +1,132 @@
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/sometimesanotion/Qwen2.5-14B-Vimarckoso-v3-model_stock/b58372cd-5d55-4f42-a5da-2970e55b44b0.json b/data/hfopenllm_v2/sometimesanotion/Qwen2.5-14B-Vimarckoso-v3-model_stock/b58372cd-5d55-4f42-a5da-2970e55b44b0.json
new file mode 100644
index 000000000..b0e9a12fb
--- /dev/null
+++ b/data/hfopenllm_v2/sometimesanotion/Qwen2.5-14B-Vimarckoso-v3-model_stock/b58372cd-5d55-4f42-a5da-2970e55b44b0.json
@@ -0,0 +1,132 @@
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+    "id": "sometimesanotion/Qwen2.5-14B-Vimarckoso-v3-model_stock",
+    "developer": "sometimesanotion",
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diff --git a/data/hfopenllm_v2/sometimesanotion/Qwen2.5-14B-Vimarckoso-v3/34a028ac-2002-480c-a1af-5b945ffe872e.json b/data/hfopenllm_v2/sometimesanotion/Qwen2.5-14B-Vimarckoso-v3/34a028ac-2002-480c-a1af-5b945ffe872e.json
new file mode 100644
index 000000000..f888babcd
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+++ b/data/hfopenllm_v2/sometimesanotion/Qwen2.5-14B-Vimarckoso-v3/34a028ac-2002-480c-a1af-5b945ffe872e.json
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diff --git a/data/hfopenllm_v2/sometimesanotion/Qwen2.5-14B-Vimarckoso/065ffc51-154c-4a93-a342-0dd476fda473.json b/data/hfopenllm_v2/sometimesanotion/Qwen2.5-14B-Vimarckoso/065ffc51-154c-4a93-a342-0dd476fda473.json
new file mode 100644
index 000000000..c071dc2d8
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diff --git a/data/hfopenllm_v2/sometimesanotion/Qwen2.5-7B-Gordion-v0.1-Prose/ebc74f4f-157d-4ee4-8b99-9fb5b685afd5.json b/data/hfopenllm_v2/sometimesanotion/Qwen2.5-7B-Gordion-v0.1-Prose/ebc74f4f-157d-4ee4-8b99-9fb5b685afd5.json
new file mode 100644
index 000000000..580c363ac
--- /dev/null
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/sometimesanotion/Qwen2.5-7B-Gordion-v0.1-Reason/91004d26-7b8b-4c0a-bd8c-8880654dc93a.json b/data/hfopenllm_v2/sometimesanotion/Qwen2.5-7B-Gordion-v0.1-Reason/91004d26-7b8b-4c0a-bd8c-8880654dc93a.json
new file mode 100644
index 000000000..8e9f53078
--- /dev/null
+++ b/data/hfopenllm_v2/sometimesanotion/Qwen2.5-7B-Gordion-v0.1-Reason/91004d26-7b8b-4c0a-bd8c-8880654dc93a.json
@@ -0,0 +1,132 @@
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/sometimesanotion/Qwen2.5-7B-Gordion-v0.1/5eb1aa92-a031-40d4-ad64-552075dae68a.json b/data/hfopenllm_v2/sometimesanotion/Qwen2.5-7B-Gordion-v0.1/5eb1aa92-a031-40d4-ad64-552075dae68a.json
new file mode 100644
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/sometimesanotion/Qwentessential-14B-v1/3ebc147d-58f2-4605-a011-a71c591fac0e.json b/data/hfopenllm_v2/sometimesanotion/Qwentessential-14B-v1/3ebc147d-58f2-4605-a011-a71c591fac0e.json
new file mode 100644
index 000000000..22b1d0f94
--- /dev/null
+++ b/data/hfopenllm_v2/sometimesanotion/Qwentessential-14B-v1/3ebc147d-58f2-4605-a011-a71c591fac0e.json
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/sometimesanotion/Qwentinuum-14B-v013/01795776-e909-46d3-8b6c-0989334e3d0e.json b/data/hfopenllm_v2/sometimesanotion/Qwentinuum-14B-v013/01795776-e909-46d3-8b6c-0989334e3d0e.json
new file mode 100644
index 000000000..29ab8f101
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+++ b/data/hfopenllm_v2/sometimesanotion/Qwentinuum-14B-v013/01795776-e909-46d3-8b6c-0989334e3d0e.json
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/sometimesanotion/Qwentinuum-14B-v1/00dffa94-31f9-4b5c-b032-03dd20fc2e8d.json b/data/hfopenllm_v2/sometimesanotion/Qwentinuum-14B-v1/00dffa94-31f9-4b5c-b032-03dd20fc2e8d.json
new file mode 100644
index 000000000..a544e7948
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+++ b/data/hfopenllm_v2/sometimesanotion/Qwentinuum-14B-v1/00dffa94-31f9-4b5c-b032-03dd20fc2e8d.json
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/sometimesanotion/Qwentinuum-14B-v2/736249d0-cea9-46c6-9677-ecae4b410af4.json b/data/hfopenllm_v2/sometimesanotion/Qwentinuum-14B-v2/736249d0-cea9-46c6-9677-ecae4b410af4.json
new file mode 100644
index 000000000..f73c3f45f
--- /dev/null
+++ b/data/hfopenllm_v2/sometimesanotion/Qwentinuum-14B-v2/736249d0-cea9-46c6-9677-ecae4b410af4.json
@@ -0,0 +1,132 @@
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diff --git a/data/hfopenllm_v2/sometimesanotion/Qwentinuum-14B-v3/ef602cfe-3453-4189-b583-292cf05421d1.json b/data/hfopenllm_v2/sometimesanotion/Qwentinuum-14B-v3/ef602cfe-3453-4189-b583-292cf05421d1.json
new file mode 100644
index 000000000..fadcebc67
--- /dev/null
+++ b/data/hfopenllm_v2/sometimesanotion/Qwentinuum-14B-v3/ef602cfe-3453-4189-b583-292cf05421d1.json
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diff --git a/data/hfopenllm_v2/sometimesanotion/Qwentinuum-14B-v5/559af2c1-deca-4c35-b83a-004c22ac958a.json b/data/hfopenllm_v2/sometimesanotion/Qwentinuum-14B-v5/559af2c1-deca-4c35-b83a-004c22ac958a.json
new file mode 100644
index 000000000..a63f22447
--- /dev/null
+++ b/data/hfopenllm_v2/sometimesanotion/Qwentinuum-14B-v5/559af2c1-deca-4c35-b83a-004c22ac958a.json
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/sometimesanotion/Qwentinuum-14B-v6-Prose/8d66d895-626a-477f-91b6-2195f35aacb3.json b/data/hfopenllm_v2/sometimesanotion/Qwentinuum-14B-v6-Prose/8d66d895-626a-477f-91b6-2195f35aacb3.json
new file mode 100644
index 000000000..6b40b100b
--- /dev/null
+++ b/data/hfopenllm_v2/sometimesanotion/Qwentinuum-14B-v6-Prose/8d66d895-626a-477f-91b6-2195f35aacb3.json
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/sometimesanotion/Qwentinuum-14B-v6/004df803-70da-4e59-b3ad-f210c790f29e.json b/data/hfopenllm_v2/sometimesanotion/Qwentinuum-14B-v6/004df803-70da-4e59-b3ad-f210c790f29e.json
new file mode 100644
index 000000000..ff2133b12
--- /dev/null
+++ b/data/hfopenllm_v2/sometimesanotion/Qwentinuum-14B-v6/004df803-70da-4e59-b3ad-f210c790f29e.json
@@ -0,0 +1,132 @@
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/sometimesanotion/Qwentinuum-14B-v7/bb2972ca-e673-4be5-bc7e-2689adeac3a9.json b/data/hfopenllm_v2/sometimesanotion/Qwentinuum-14B-v7/bb2972ca-e673-4be5-bc7e-2689adeac3a9.json
new file mode 100644
index 000000000..86db2ec7b
--- /dev/null
+++ b/data/hfopenllm_v2/sometimesanotion/Qwentinuum-14B-v7/bb2972ca-e673-4be5-bc7e-2689adeac3a9.json
@@ -0,0 +1,132 @@
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diff --git a/data/hfopenllm_v2/sometimesanotion/Qwentinuum-14B-v8/eacf2411-a0ea-41fd-8363-e565fce0f26f.json b/data/hfopenllm_v2/sometimesanotion/Qwentinuum-14B-v8/eacf2411-a0ea-41fd-8363-e565fce0f26f.json
new file mode 100644
index 000000000..14b1b0dfd
--- /dev/null
+++ b/data/hfopenllm_v2/sometimesanotion/Qwentinuum-14B-v8/eacf2411-a0ea-41fd-8363-e565fce0f26f.json
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diff --git a/data/hfopenllm_v2/sometimesanotion/Qwentinuum-14B-v9/4eefe3cd-ff42-4d4c-89c6-c3e48d8c85e9.json b/data/hfopenllm_v2/sometimesanotion/Qwentinuum-14B-v9/4eefe3cd-ff42-4d4c-89c6-c3e48d8c85e9.json
new file mode 100644
index 000000000..470b2bb89
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diff --git a/data/hfopenllm_v2/sometimesanotion/Qwenvergence-14B-qv256/f19dab38-48ed-438e-8a62-86e4d111f6c8.json b/data/hfopenllm_v2/sometimesanotion/Qwenvergence-14B-qv256/f19dab38-48ed-438e-8a62-86e4d111f6c8.json
new file mode 100644
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/sometimesanotion/Qwenvergence-14B-v0.6-004-model_stock/ff4b6d28-62e2-4671-8df9-690ce7f13f0b.json b/data/hfopenllm_v2/sometimesanotion/Qwenvergence-14B-v0.6-004-model_stock/ff4b6d28-62e2-4671-8df9-690ce7f13f0b.json
new file mode 100644
index 000000000..10044a8d2
--- /dev/null
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/sometimesanotion/Qwenvergence-14B-v10/9c05a7e4-f495-41d0-a7f0-1959e7434ba2.json b/data/hfopenllm_v2/sometimesanotion/Qwenvergence-14B-v10/9c05a7e4-f495-41d0-a7f0-1959e7434ba2.json
new file mode 100644
index 000000000..1827b725f
--- /dev/null
+++ b/data/hfopenllm_v2/sometimesanotion/Qwenvergence-14B-v10/9c05a7e4-f495-41d0-a7f0-1959e7434ba2.json
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diff --git a/data/hfopenllm_v2/sometimesanotion/Qwenvergence-14B-v11/404e3d61-26d3-4f95-9847-064f0c7c6970.json b/data/hfopenllm_v2/sometimesanotion/Qwenvergence-14B-v11/404e3d61-26d3-4f95-9847-064f0c7c6970.json
new file mode 100644
index 000000000..df64804c6
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+++ b/data/hfopenllm_v2/sometimesanotion/Qwenvergence-14B-v11/404e3d61-26d3-4f95-9847-064f0c7c6970.json
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diff --git a/data/hfopenllm_v2/sometimesanotion/Qwenvergence-14B-v12-Prose-DS/0b4574f2-1b71-427f-9923-17db449be191.json b/data/hfopenllm_v2/sometimesanotion/Qwenvergence-14B-v12-Prose-DS/0b4574f2-1b71-427f-9923-17db449be191.json
new file mode 100644
index 000000000..12b28bc82
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diff --git a/data/hfopenllm_v2/sometimesanotion/Qwenvergence-14B-v12-Prose/775b88cd-98e8-4d93-acca-e294f68f2da2.json b/data/hfopenllm_v2/sometimesanotion/Qwenvergence-14B-v12-Prose/775b88cd-98e8-4d93-acca-e294f68f2da2.json
new file mode 100644
index 000000000..c5c86aec1
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/sometimesanotion/Qwenvergence-14B-v13-Prose-DS/89464568-47cb-4659-af37-8b061d3f0c8c.json b/data/hfopenllm_v2/sometimesanotion/Qwenvergence-14B-v13-Prose-DS/89464568-47cb-4659-af37-8b061d3f0c8c.json
new file mode 100644
index 000000000..84c78b460
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diff --git a/data/hfopenllm_v2/sometimesanotion/Qwenvergence-14B-v15-Prose-MS/9fad9d73-acbf-4ffc-886c-551c1fe1ed45.json b/data/hfopenllm_v2/sometimesanotion/Qwenvergence-14B-v15-Prose-MS/9fad9d73-acbf-4ffc-886c-551c1fe1ed45.json
new file mode 100644
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new file mode 100644
index 000000000..a6c3cb27c
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new file mode 100644
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diff --git a/data/hfopenllm_v2/sometimesanotion/Qwenvergence-14B-v3-Reason/53565fe4-0368-477b-9916-ac9a4b8a9c7b.json b/data/hfopenllm_v2/sometimesanotion/Qwenvergence-14B-v3-Reason/53565fe4-0368-477b-9916-ac9a4b8a9c7b.json
new file mode 100644
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/sometimesanotion/Qwenvergence-14B-v3-Reason/f6cb5e9d-c4c9-44a2-9adf-7fa5639d84d9.json b/data/hfopenllm_v2/sometimesanotion/Qwenvergence-14B-v3-Reason/f6cb5e9d-c4c9-44a2-9adf-7fa5639d84d9.json
new file mode 100644
index 000000000..49b6488af
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+++ b/data/hfopenllm_v2/sometimesanotion/Qwenvergence-14B-v3-Reason/f6cb5e9d-c4c9-44a2-9adf-7fa5639d84d9.json
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diff --git a/data/hfopenllm_v2/sometimesanotion/Qwenvergence-14B-v3/e51fee25-7648-49d9-a8da-b8dbc68a722b.json b/data/hfopenllm_v2/sometimesanotion/Qwenvergence-14B-v3/e51fee25-7648-49d9-a8da-b8dbc68a722b.json
new file mode 100644
index 000000000..6b7f693f2
--- /dev/null
+++ b/data/hfopenllm_v2/sometimesanotion/Qwenvergence-14B-v3/e51fee25-7648-49d9-a8da-b8dbc68a722b.json
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diff --git a/data/hfopenllm_v2/sometimesanotion/Qwenvergence-14B-v6-Prose-model_stock/6acdc96b-cfde-439f-b6b3-a66257b3fcde.json b/data/hfopenllm_v2/sometimesanotion/Qwenvergence-14B-v6-Prose-model_stock/6acdc96b-cfde-439f-b6b3-a66257b3fcde.json
new file mode 100644
index 000000000..1fad180ca
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+++ b/data/hfopenllm_v2/sometimesanotion/Qwenvergence-14B-v6-Prose-model_stock/6acdc96b-cfde-439f-b6b3-a66257b3fcde.json
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diff --git a/data/hfopenllm_v2/sometimesanotion/Qwenvergence-14B-v6-Prose/850da8de-ca13-4f15-bb9f-68b910355cfd.json b/data/hfopenllm_v2/sometimesanotion/Qwenvergence-14B-v6-Prose/850da8de-ca13-4f15-bb9f-68b910355cfd.json
new file mode 100644
index 000000000..a338fb9a8
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+++ b/data/hfopenllm_v2/sometimesanotion/Qwenvergence-14B-v6-Prose/850da8de-ca13-4f15-bb9f-68b910355cfd.json
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/sometimesanotion/Qwenvergence-14B-v8/542fbb7a-d4eb-4cbf-b63a-4305cb108361.json b/data/hfopenllm_v2/sometimesanotion/Qwenvergence-14B-v8/542fbb7a-d4eb-4cbf-b63a-4305cb108361.json
new file mode 100644
index 000000000..fd2e91afc
--- /dev/null
+++ b/data/hfopenllm_v2/sometimesanotion/Qwenvergence-14B-v8/542fbb7a-d4eb-4cbf-b63a-4305cb108361.json
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/sometimesanotion/Qwenvergence-14B-v9/1dbb8206-6a86-4e2c-8ee0-d80fed014a69.json b/data/hfopenllm_v2/sometimesanotion/Qwenvergence-14B-v9/1dbb8206-6a86-4e2c-8ee0-d80fed014a69.json
new file mode 100644
index 000000000..e4304c3e3
--- /dev/null
+++ b/data/hfopenllm_v2/sometimesanotion/Qwenvergence-14B-v9/1dbb8206-6a86-4e2c-8ee0-d80fed014a69.json
@@ -0,0 +1,132 @@
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+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4139
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3683
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5141
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5111
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/sometimesanotion/lamarck-14b-prose-model_stock/3191b3a3-761a-42b4-bd31-b8dc22a4c722.json b/data/hfopenllm_v2/sometimesanotion/lamarck-14b-prose-model_stock/3191b3a3-761a-42b4-bd31-b8dc22a4c722.json
deleted file mode 100644
index 046bce113..000000000
--- a/data/hfopenllm_v2/sometimesanotion/lamarck-14b-prose-model_stock/3191b3a3-761a-42b4-bd31-b8dc22a4c722.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/sometimesanotion_lamarck-14b-prose-model_stock/1762652580.5312169",
-  "retrieved_timestamp": "1762652580.5312169",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "sometimesanotion/lamarck-14b-prose-model_stock",
-    "developer": "sometimesanotion",
-    "inference_platform": "unknown",
-    "id": "sometimesanotion/lamarck-14b-prose-model_stock",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 14.766
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4276486389446668
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6487621585665343
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3413897280966767
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3934563758389262
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.48459375
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.535405585106383
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/sometimesanotion/lamarck-14b-prose-model_stock/6341de3c-8d4c-4af8-8f0d-c81e948bacd6.json b/data/hfopenllm_v2/sometimesanotion/lamarck-14b-prose-model_stock/6341de3c-8d4c-4af8-8f0d-c81e948bacd6.json
new file mode 100644
index 000000000..404e5cee8
--- /dev/null
+++ b/data/hfopenllm_v2/sometimesanotion/lamarck-14b-prose-model_stock/6341de3c-8d4c-4af8-8f0d-c81e948bacd6.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/sometimesanotion_lamarck-14b-prose-model_stock/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "lamarck-14b-prose-model_stock",
+    "id": "sometimesanotion/lamarck-14b-prose-model_stock",
+    "developer": "sometimesanotion",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.766
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4276
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6488
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3414
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3935
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4846
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5354
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/sometimesanotion/lamarck-14b-reason-model_stock/e6cb6a87-6db8-4aee-bede-ce8a60dc8f4a.json b/data/hfopenllm_v2/sometimesanotion/lamarck-14b-reason-model_stock/e6cb6a87-6db8-4aee-bede-ce8a60dc8f4a.json
new file mode 100644
index 000000000..92a2a8d29
--- /dev/null
+++ b/data/hfopenllm_v2/sometimesanotion/lamarck-14b-reason-model_stock/e6cb6a87-6db8-4aee-bede-ce8a60dc8f4a.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/sometimesanotion_lamarck-14b-reason-model_stock/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "lamarck-14b-reason-model_stock",
+    "id": "sometimesanotion/lamarck-14b-reason-model_stock",
+    "developer": "sometimesanotion",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.766
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4965
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6569
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.358
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3842
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4741
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5402
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/sometimesanotion/lamarck-14b-reason-model_stock/ee7d14c9-aa49-49df-99fc-057e7dae251f.json b/data/hfopenllm_v2/sometimesanotion/lamarck-14b-reason-model_stock/ee7d14c9-aa49-49df-99fc-057e7dae251f.json
deleted file mode 100644
index b58783abd..000000000
--- a/data/hfopenllm_v2/sometimesanotion/lamarck-14b-reason-model_stock/ee7d14c9-aa49-49df-99fc-057e7dae251f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/sometimesanotion_lamarck-14b-reason-model_stock/1762652580.531434",
-  "retrieved_timestamp": "1762652580.531434",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "sometimesanotion/lamarck-14b-reason-model_stock",
-    "developer": "sometimesanotion",
-    "inference_platform": "unknown",
-    "id": "sometimesanotion/lamarck-14b-reason-model_stock",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 14.766
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.49646715160219335
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6568898541408251
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3580060422960725
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.38422818791946306
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.47408333333333336
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5402260638297872
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/sonthenguyen/ft-unsloth-zephyr-sft-bnb-4bit-20241014-161415/5113439d-1394-46f2-a38e-34b54e94a9e6.json b/data/hfopenllm_v2/sonthenguyen/ft-unsloth-zephyr-sft-bnb-4bit-20241014-161415/5113439d-1394-46f2-a38e-34b54e94a9e6.json
new file mode 100644
index 000000000..d02f279fc
--- /dev/null
+++ b/data/hfopenllm_v2/sonthenguyen/ft-unsloth-zephyr-sft-bnb-4bit-20241014-161415/5113439d-1394-46f2-a38e-34b54e94a9e6.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/sonthenguyen_ft-unsloth-zephyr-sft-bnb-4bit-20241014-161415/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "ft-unsloth-zephyr-sft-bnb-4bit-20241014-161415",
+    "id": "sonthenguyen/ft-unsloth-zephyr-sft-bnb-4bit-20241014-161415",
+    "developer": "sonthenguyen",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "?",
+      "params_billions": 7.723
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2893
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3804
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0113
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2466
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3861
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1401
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/sonthenguyen/ft-unsloth-zephyr-sft-bnb-4bit-20241014-161415/7aa22e01-efb1-46f3-aad6-cc1fcb2c3783.json b/data/hfopenllm_v2/sonthenguyen/ft-unsloth-zephyr-sft-bnb-4bit-20241014-161415/7aa22e01-efb1-46f3-aad6-cc1fcb2c3783.json
deleted file mode 100644
index 92ade5c52..000000000
--- a/data/hfopenllm_v2/sonthenguyen/ft-unsloth-zephyr-sft-bnb-4bit-20241014-161415/7aa22e01-efb1-46f3-aad6-cc1fcb2c3783.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/sonthenguyen_ft-unsloth-zephyr-sft-bnb-4bit-20241014-161415/1762652580.531641",
-  "retrieved_timestamp": "1762652580.5316422",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "sonthenguyen/ft-unsloth-zephyr-sft-bnb-4bit-20241014-161415",
-    "developer": "sonthenguyen",
-    "inference_platform": "unknown",
-    "id": "sonthenguyen/ft-unsloth-zephyr-sft-bnb-4bit-20241014-161415",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "?",
-      "params_billions": 7.723
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.28933784580468713
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.38041816886828617
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.011329305135951661
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.24664429530201343
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3860625
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.14012632978723405
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/sonthenguyen/ft-unsloth-zephyr-sft-bnb-4bit-20241014-164205/a03d88aa-7ccd-4f8a-9a1e-c9469d3ae559.json b/data/hfopenllm_v2/sonthenguyen/ft-unsloth-zephyr-sft-bnb-4bit-20241014-164205/a03d88aa-7ccd-4f8a-9a1e-c9469d3ae559.json
new file mode 100644
index 000000000..374cc5708
--- /dev/null
+++ b/data/hfopenllm_v2/sonthenguyen/ft-unsloth-zephyr-sft-bnb-4bit-20241014-164205/a03d88aa-7ccd-4f8a-9a1e-c9469d3ae559.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/sonthenguyen_ft-unsloth-zephyr-sft-bnb-4bit-20241014-164205/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "ft-unsloth-zephyr-sft-bnb-4bit-20241014-164205",
+    "id": "sonthenguyen/ft-unsloth-zephyr-sft-bnb-4bit-20241014-164205",
+    "developer": "sonthenguyen",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "?",
+      "params_billions": 7.723
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3199
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3959
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0083
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.276
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4272
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2124
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/sonthenguyen/ft-unsloth-zephyr-sft-bnb-4bit-20241014-164205/c9e9de59-9ec8-4ca9-8869-f77cac14f3ed.json b/data/hfopenllm_v2/sonthenguyen/ft-unsloth-zephyr-sft-bnb-4bit-20241014-164205/c9e9de59-9ec8-4ca9-8869-f77cac14f3ed.json
deleted file mode 100644
index d3f333518..000000000
--- a/data/hfopenllm_v2/sonthenguyen/ft-unsloth-zephyr-sft-bnb-4bit-20241014-164205/c9e9de59-9ec8-4ca9-8869-f77cac14f3ed.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/sonthenguyen_ft-unsloth-zephyr-sft-bnb-4bit-20241014-164205/1762652580.531905",
-  "retrieved_timestamp": "1762652580.5319061",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "sonthenguyen/ft-unsloth-zephyr-sft-bnb-4bit-20241014-164205",
-    "developer": "sonthenguyen",
-    "inference_platform": "unknown",
-    "id": "sonthenguyen/ft-unsloth-zephyr-sft-bnb-4bit-20241014-164205",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "?",
-      "params_billions": 7.723
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3199377651298555
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.39586243698929185
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.008308157099697885
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.276006711409396
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4271770833333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.21243351063829788
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/sonthenguyen/ft-unsloth-zephyr-sft-bnb-4bit-20241014-170522/1cfb40a7-7373-417c-aa1c-f6ab63ecb3b8.json b/data/hfopenllm_v2/sonthenguyen/ft-unsloth-zephyr-sft-bnb-4bit-20241014-170522/1cfb40a7-7373-417c-aa1c-f6ab63ecb3b8.json
new file mode 100644
index 000000000..37b361fb2
--- /dev/null
+++ b/data/hfopenllm_v2/sonthenguyen/ft-unsloth-zephyr-sft-bnb-4bit-20241014-170522/1cfb40a7-7373-417c-aa1c-f6ab63ecb3b8.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/sonthenguyen_ft-unsloth-zephyr-sft-bnb-4bit-20241014-170522/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "ft-unsloth-zephyr-sft-bnb-4bit-20241014-170522",
+    "id": "sonthenguyen/ft-unsloth-zephyr-sft-bnb-4bit-20241014-170522",
+    "developer": "sonthenguyen",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "?",
+      "params_billions": 7.723
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3764
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3828
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0091
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2651
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4404
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2055
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/sonthenguyen/ft-unsloth-zephyr-sft-bnb-4bit-20241014-170522/1e66ee5b-d3e7-4e2e-8a6f-d098938d4afd.json b/data/hfopenllm_v2/sonthenguyen/ft-unsloth-zephyr-sft-bnb-4bit-20241014-170522/1e66ee5b-d3e7-4e2e-8a6f-d098938d4afd.json
deleted file mode 100644
index 6fa4631f1..000000000
--- a/data/hfopenllm_v2/sonthenguyen/ft-unsloth-zephyr-sft-bnb-4bit-20241014-170522/1e66ee5b-d3e7-4e2e-8a6f-d098938d4afd.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/sonthenguyen_ft-unsloth-zephyr-sft-bnb-4bit-20241014-170522/1762652580.532109",
-  "retrieved_timestamp": "1762652580.53211",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "sonthenguyen/ft-unsloth-zephyr-sft-bnb-4bit-20241014-170522",
-    "developer": "sonthenguyen",
-    "inference_platform": "unknown",
-    "id": "sonthenguyen/ft-unsloth-zephyr-sft-bnb-4bit-20241014-170522",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "?",
-      "params_billions": 7.723
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37644117607946914
-      }
-    },
-    {
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diff --git a/data/hfopenllm_v2/sonthenguyen/zephyr-sft-bnb-4bit-DPO-mtbc-213steps/446ac93f-d47c-4207-bf32-0cd94e88a931.json b/data/hfopenllm_v2/sonthenguyen/zephyr-sft-bnb-4bit-DPO-mtbc-213steps/446ac93f-d47c-4207-bf32-0cd94e88a931.json
new file mode 100644
index 000000000..a216eeafc
--- /dev/null
+++ b/data/hfopenllm_v2/sonthenguyen/zephyr-sft-bnb-4bit-DPO-mtbc-213steps/446ac93f-d47c-4207-bf32-0cd94e88a931.json
@@ -0,0 +1,132 @@
+{
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+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "zephyr-sft-bnb-4bit-DPO-mtbc-213steps",
+    "id": "sonthenguyen/zephyr-sft-bnb-4bit-DPO-mtbc-213steps",
+    "developer": "sonthenguyen",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
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+    }
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+  "evaluation_results": [
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+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
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+        "max_score": 1.0
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+      "score_details": {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
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+        "min_score": 0.0,
+        "max_score": 1.0
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+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
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+      },
+      "score_details": {
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+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/sonthenguyen/zephyr-sft-bnb-4bit-DPO-mtbc-213steps/aabf8b57-c3fd-494b-b8e3-7ff1bdb0a15b.json b/data/hfopenllm_v2/sonthenguyen/zephyr-sft-bnb-4bit-DPO-mtbc-213steps/aabf8b57-c3fd-494b-b8e3-7ff1bdb0a15b.json
deleted file mode 100644
index 6ee712307..000000000
--- a/data/hfopenllm_v2/sonthenguyen/zephyr-sft-bnb-4bit-DPO-mtbc-213steps/aabf8b57-c3fd-494b-b8e3-7ff1bdb0a15b.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/sonthenguyen/zephyr-sft-bnb-4bit-DPO-mtbo-180steps/7e4ba4f8-2768-4e7b-a11d-75ad22a47c45.json b/data/hfopenllm_v2/sonthenguyen/zephyr-sft-bnb-4bit-DPO-mtbo-180steps/7e4ba4f8-2768-4e7b-a11d-75ad22a47c45.json
new file mode 100644
index 000000000..51e507e7a
--- /dev/null
+++ b/data/hfopenllm_v2/sonthenguyen/zephyr-sft-bnb-4bit-DPO-mtbo-180steps/7e4ba4f8-2768-4e7b-a11d-75ad22a47c45.json
@@ -0,0 +1,132 @@
+{
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+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "zephyr-sft-bnb-4bit-DPO-mtbo-180steps",
+    "id": "sonthenguyen/zephyr-sft-bnb-4bit-DPO-mtbo-180steps",
+    "developer": "sonthenguyen",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4323
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+    },
+    {
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+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
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+        "min_score": 0.0,
+        "max_score": 1.0
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+      "score_details": {
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+    },
+    {
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+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
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+      },
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+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/sonthenguyen/zephyr-sft-bnb-4bit-DPO-mtbo-180steps/dd216882-a64e-4a0e-8fdc-ff5f99639566.json b/data/hfopenllm_v2/sonthenguyen/zephyr-sft-bnb-4bit-DPO-mtbo-180steps/dd216882-a64e-4a0e-8fdc-ff5f99639566.json
deleted file mode 100644
index 88d8768ad..000000000
--- a/data/hfopenllm_v2/sonthenguyen/zephyr-sft-bnb-4bit-DPO-mtbo-180steps/dd216882-a64e-4a0e-8fdc-ff5f99639566.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/sonthenguyen/zephyr-sft-bnb-4bit-DPO-mtbr-180steps/9fa1bbeb-ec5c-4d53-b2f3-eefa660bee5e.json b/data/hfopenllm_v2/sonthenguyen/zephyr-sft-bnb-4bit-DPO-mtbr-180steps/9fa1bbeb-ec5c-4d53-b2f3-eefa660bee5e.json
deleted file mode 100644
index 5bcfb9a64..000000000
--- a/data/hfopenllm_v2/sonthenguyen/zephyr-sft-bnb-4bit-DPO-mtbr-180steps/9fa1bbeb-ec5c-4d53-b2f3-eefa660bee5e.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.024924471299093656
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2802013422818792
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42575
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-      }
-    }
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-}
diff --git a/data/hfopenllm_v2/sonthenguyen/zephyr-sft-bnb-4bit-DPO-mtbr-180steps/ca77f821-4722-45b1-b731-7d774232acb4.json b/data/hfopenllm_v2/sonthenguyen/zephyr-sft-bnb-4bit-DPO-mtbr-180steps/ca77f821-4722-45b1-b731-7d774232acb4.json
new file mode 100644
index 000000000..c5738810a
--- /dev/null
+++ b/data/hfopenllm_v2/sonthenguyen/zephyr-sft-bnb-4bit-DPO-mtbr-180steps/ca77f821-4722-45b1-b731-7d774232acb4.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/sonthenguyen_zephyr-sft-bnb-4bit-DPO-mtbr-180steps/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "zephyr-sft-bnb-4bit-DPO-mtbr-180steps",
+    "id": "sonthenguyen/zephyr-sft-bnb-4bit-DPO-mtbr-180steps",
+    "developer": "sonthenguyen",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4032
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4305
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0249
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2802
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4258
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2711
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/sophosympatheia/Midnight-Miqu-70B-v1.5/3498b101-b86e-4968-abca-a3d3d42a4e5b.json b/data/hfopenllm_v2/sophosympatheia/Midnight-Miqu-70B-v1.5/3498b101-b86e-4968-abca-a3d3d42a4e5b.json
deleted file mode 100644
index 4d5017a6b..000000000
--- a/data/hfopenllm_v2/sophosympatheia/Midnight-Miqu-70B-v1.5/3498b101-b86e-4968-abca-a3d3d42a4e5b.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/sophosympatheia_Midnight-Miqu-70B-v1.5/1762652580.532959",
-  "retrieved_timestamp": "1762652580.53296",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "sophosympatheia/Midnight-Miqu-70B-v1.5",
-    "developer": "sophosympatheia",
-    "inference_platform": "unknown",
-    "id": "sophosympatheia/Midnight-Miqu-70B-v1.5",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 68.977
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6118465671086051
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5606228371685053
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-        "score": 0.0702416918429003
-      }
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-    {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2961409395973154
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42441666666666666
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.38248005319148937
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/sophosympatheia/Midnight-Miqu-70B-v1.5/f32d2a11-edd3-4662-aed7-88c6820b2c2e.json b/data/hfopenllm_v2/sophosympatheia/Midnight-Miqu-70B-v1.5/f32d2a11-edd3-4662-aed7-88c6820b2c2e.json
new file mode 100644
index 000000000..fddda10e0
--- /dev/null
+++ b/data/hfopenllm_v2/sophosympatheia/Midnight-Miqu-70B-v1.5/f32d2a11-edd3-4662-aed7-88c6820b2c2e.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/sophosympatheia_Midnight-Miqu-70B-v1.5/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Midnight-Miqu-70B-v1.5",
+    "id": "sophosympatheia/Midnight-Miqu-70B-v1.5",
+    "developer": "sophosympatheia",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 68.977
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6118
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5606
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0702
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2961
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4244
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3825
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/speakleash/Bielik-11B-v2.0-Instruct/4aaff24b-0364-4cc9-9680-5f5c6d04128b.json b/data/hfopenllm_v2/speakleash/Bielik-11B-v2.0-Instruct/4aaff24b-0364-4cc9-9680-5f5c6d04128b.json
deleted file mode 100644
index cc1aa45a7..000000000
--- a/data/hfopenllm_v2/speakleash/Bielik-11B-v2.0-Instruct/4aaff24b-0364-4cc9-9680-5f5c6d04128b.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/speakleash_Bielik-11B-v2.0-Instruct/1762652580.533494",
-  "retrieved_timestamp": "1762652580.533494",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "speakleash/Bielik-11B-v2.0-Instruct",
-    "developer": "speakleash",
-    "inference_platform": "unknown",
-    "id": "speakleash/Bielik-11B-v2.0-Instruct",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 11.169
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5252430218486948
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5361579931173499
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11858006042296072
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.31711409395973156
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4467083333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3351063829787234
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/speakleash/Bielik-11B-v2.0-Instruct/71c56883-dd14-4f16-b839-5ce607a4aadb.json b/data/hfopenllm_v2/speakleash/Bielik-11B-v2.0-Instruct/71c56883-dd14-4f16-b839-5ce607a4aadb.json
new file mode 100644
index 000000000..12049af61
--- /dev/null
+++ b/data/hfopenllm_v2/speakleash/Bielik-11B-v2.0-Instruct/71c56883-dd14-4f16-b839-5ce607a4aadb.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/speakleash_Bielik-11B-v2.0-Instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Bielik-11B-v2.0-Instruct",
+    "id": "speakleash/Bielik-11B-v2.0-Instruct",
+    "developer": "speakleash",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 11.169
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5252
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5362
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1186
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3171
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4467
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3351
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/speakleash/Bielik-11B-v2.1-Instruct/639004c2-81a5-410d-bd61-e3e263f55335.json b/data/hfopenllm_v2/speakleash/Bielik-11B-v2.1-Instruct/639004c2-81a5-410d-bd61-e3e263f55335.json
new file mode 100644
index 000000000..e5d5e6b4f
--- /dev/null
+++ b/data/hfopenllm_v2/speakleash/Bielik-11B-v2.1-Instruct/639004c2-81a5-410d-bd61-e3e263f55335.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/speakleash_Bielik-11B-v2.1-Instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Bielik-11B-v2.1-Instruct",
+    "id": "speakleash/Bielik-11B-v2.1-Instruct",
+    "developer": "speakleash",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 11.169
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.509
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.553
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2666
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3372
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4185
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3447
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/speakleash/Bielik-11B-v2.1-Instruct/834e5703-00f3-47d6-817f-cf039c53d915.json b/data/hfopenllm_v2/speakleash/Bielik-11B-v2.1-Instruct/834e5703-00f3-47d6-817f-cf039c53d915.json
deleted file mode 100644
index 6d767453d..000000000
--- a/data/hfopenllm_v2/speakleash/Bielik-11B-v2.1-Instruct/834e5703-00f3-47d6-817f-cf039c53d915.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/speakleash_Bielik-11B-v2.1-Instruct/1762652580.533698",
-  "retrieved_timestamp": "1762652580.533698",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "speakleash/Bielik-11B-v2.1-Instruct",
-    "developer": "speakleash",
-    "inference_platform": "unknown",
-    "id": "speakleash/Bielik-11B-v2.1-Instruct",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 11.169
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5089817240477489
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5530119844151298
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.26661631419939574
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.337248322147651
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4185208333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.34466422872340424
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/speakleash/Bielik-11B-v2.2-Instruct/5f232a99-07c9-4df7-9d3b-837966ea6de5.json b/data/hfopenllm_v2/speakleash/Bielik-11B-v2.2-Instruct/5f232a99-07c9-4df7-9d3b-837966ea6de5.json
new file mode 100644
index 000000000..29b63348b
--- /dev/null
+++ b/data/hfopenllm_v2/speakleash/Bielik-11B-v2.2-Instruct/5f232a99-07c9-4df7-9d3b-837966ea6de5.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/speakleash_Bielik-11B-v2.2-Instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Bielik-11B-v2.2-Instruct",
+    "id": "speakleash/Bielik-11B-v2.2-Instruct",
+    "developer": "speakleash",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 11.169
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5552
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5597
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2681
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3314
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4171
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3487
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/speakleash/Bielik-11B-v2.2-Instruct/70c377ab-41b4-4c30-ade6-65cc52ab916a.json b/data/hfopenllm_v2/speakleash/Bielik-11B-v2.2-Instruct/70c377ab-41b4-4c30-ade6-65cc52ab916a.json
deleted file mode 100644
index d2e45b50f..000000000
--- a/data/hfopenllm_v2/speakleash/Bielik-11B-v2.2-Instruct/70c377ab-41b4-4c30-ade6-65cc52ab916a.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/speakleash_Bielik-11B-v2.2-Instruct/1762652580.533901",
-  "retrieved_timestamp": "1762652580.5339022",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "speakleash/Bielik-11B-v2.2-Instruct",
-    "developer": "speakleash",
-    "inference_platform": "unknown",
-    "id": "speakleash/Bielik-11B-v2.2-Instruct",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 11.169
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5551935531057595
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5596561190863629
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2681268882175227
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3313758389261745
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41712499999999997
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3486535904255319
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/speakleash/Bielik-11B-v2.3-Instruct/482e34ee-8974-46c6-b3f4-4cc9872ef562.json b/data/hfopenllm_v2/speakleash/Bielik-11B-v2.3-Instruct/482e34ee-8974-46c6-b3f4-4cc9872ef562.json
new file mode 100644
index 000000000..d3532936e
--- /dev/null
+++ b/data/hfopenllm_v2/speakleash/Bielik-11B-v2.3-Instruct/482e34ee-8974-46c6-b3f4-4cc9872ef562.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/speakleash_Bielik-11B-v2.3-Instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Bielik-11B-v2.3-Instruct",
+    "id": "speakleash/Bielik-11B-v2.3-Instruct",
+    "developer": "speakleash",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 11.169
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5583
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5663
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2085
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3406
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4518
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3444
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/speakleash/Bielik-11B-v2.3-Instruct/822b7413-b84e-4df0-8aca-cc0e95283a86.json b/data/hfopenllm_v2/speakleash/Bielik-11B-v2.3-Instruct/822b7413-b84e-4df0-8aca-cc0e95283a86.json
deleted file mode 100644
index 32f9496c4..000000000
--- a/data/hfopenllm_v2/speakleash/Bielik-11B-v2.3-Instruct/822b7413-b84e-4df0-8aca-cc0e95283a86.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/speakleash_Bielik-11B-v2.3-Instruct/1762652580.534104",
-  "retrieved_timestamp": "1762652580.534104",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "speakleash/Bielik-11B-v2.3-Instruct",
-    "developer": "speakleash",
-    "inference_platform": "unknown",
-    "id": "speakleash/Bielik-11B-v2.3-Instruct",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 11.169
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.558290890393046
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5662699020280031
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2084592145015106
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.34060402684563756
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4518229166666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.34441489361702127
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/speakleash/Bielik-11B-v2/13743252-3ba3-406d-8e95-5a4cd3ac3772.json b/data/hfopenllm_v2/speakleash/Bielik-11B-v2/13743252-3ba3-406d-8e95-5a4cd3ac3772.json
new file mode 100644
index 000000000..0c4687f31
--- /dev/null
+++ b/data/hfopenllm_v2/speakleash/Bielik-11B-v2/13743252-3ba3-406d-8e95-5a4cd3ac3772.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/speakleash_Bielik-11B-v2/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Bielik-11B-v2",
+    "id": "speakleash/Bielik-11B-v2",
+    "developer": "speakleash",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 11.169
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2381
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4931
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0785
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2886
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3924
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3137
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/speakleash/Bielik-11B-v2/680f5fa0-fb15-4687-a40b-7807af2e0fe5.json b/data/hfopenllm_v2/speakleash/Bielik-11B-v2/680f5fa0-fb15-4687-a40b-7807af2e0fe5.json
deleted file mode 100644
index 089c120c0..000000000
--- a/data/hfopenllm_v2/speakleash/Bielik-11B-v2/680f5fa0-fb15-4687-a40b-7807af2e0fe5.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/speakleash_Bielik-11B-v2/1762652580.533211",
-  "retrieved_timestamp": "1762652580.533211",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "speakleash/Bielik-11B-v2",
-    "developer": "speakleash",
-    "inference_platform": "unknown",
-    "id": "speakleash/Bielik-11B-v2",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 11.169
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.23810489501190177
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.49308409091594996
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.07854984894259819
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.28859060402684567
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.39244791666666673
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3137466755319149
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/spmurrayzzz/Mistral-Syndicate-7B/ff25cb66-ed6f-421a-a038-1feb24666645.json b/data/hfopenllm_v2/spmurrayzzz/Mistral-Syndicate-7B/ff25cb66-ed6f-421a-a038-1feb24666645.json
new file mode 100644
index 000000000..7a760f4b4
--- /dev/null
+++ b/data/hfopenllm_v2/spmurrayzzz/Mistral-Syndicate-7B/ff25cb66-ed6f-421a-a038-1feb24666645.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/spmurrayzzz_Mistral-Syndicate-7B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Mistral-Syndicate-7B",
+    "id": "spmurrayzzz/Mistral-Syndicate-7B",
+    "developer": "spmurrayzzz",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2496
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4245
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.034
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.276
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4386
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2631
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/spow12/ChatWaifu_12B_v2.0/843f0d9a-04e8-4cea-bb18-94651a814d1f.json b/data/hfopenllm_v2/spow12/ChatWaifu_12B_v2.0/843f0d9a-04e8-4cea-bb18-94651a814d1f.json
new file mode 100644
index 000000000..4c523e210
--- /dev/null
+++ b/data/hfopenllm_v2/spow12/ChatWaifu_12B_v2.0/843f0d9a-04e8-4cea-bb18-94651a814d1f.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/spow12_ChatWaifu_12B_v2.0/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "ChatWaifu_12B_v2.0",
+    "id": "spow12/ChatWaifu_12B_v2.0",
+    "developer": "spow12",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 12.248
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4768
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5208
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.071
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2768
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4432
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3388
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/spow12/ChatWaifu_12B_v2.0/f9798139-bc7d-49e7-bc42-bcd0ee808c68.json b/data/hfopenllm_v2/spow12/ChatWaifu_12B_v2.0/f9798139-bc7d-49e7-bc42-bcd0ee808c68.json
deleted file mode 100644
index 6964b681f..000000000
--- a/data/hfopenllm_v2/spow12/ChatWaifu_12B_v2.0/f9798139-bc7d-49e7-bc42-bcd0ee808c68.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/spow12_ChatWaifu_12B_v2.0/1762652580.534569",
-  "retrieved_timestamp": "1762652580.53457",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "spow12/ChatWaifu_12B_v2.0",
-    "developer": "spow12",
-    "inference_platform": "unknown",
-    "id": "spow12/ChatWaifu_12B_v2.0",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 12.248
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.47675833455232114
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5207681738205238
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.07099697885196375
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.27684563758389263
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.44317708333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.33876329787234044
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/spow12/ChatWaifu_22B_v2.0_preview/d0e259de-1261-4d31-a1d4-4689112deca0.json b/data/hfopenllm_v2/spow12/ChatWaifu_22B_v2.0_preview/d0e259de-1261-4d31-a1d4-4689112deca0.json
deleted file mode 100644
index 8d935dd08..000000000
--- a/data/hfopenllm_v2/spow12/ChatWaifu_22B_v2.0_preview/d0e259de-1261-4d31-a1d4-4689112deca0.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/spow12_ChatWaifu_22B_v2.0_preview/1762652580.534824",
-  "retrieved_timestamp": "1762652580.5348248",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "spow12/ChatWaifu_22B_v2.0_preview",
-    "developer": "spow12",
-    "inference_platform": "unknown",
-    "id": "spow12/ChatWaifu_22B_v2.0_preview",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 22.247
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6744947849483814
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6170153091362338
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.18882175226586104
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.31543624161073824
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3685416666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.39876994680851063
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/spow12/ChatWaifu_22B_v2.0_preview/fa3ccf4a-9b26-4a76-a974-3a776adec7c2.json b/data/hfopenllm_v2/spow12/ChatWaifu_22B_v2.0_preview/fa3ccf4a-9b26-4a76-a974-3a776adec7c2.json
new file mode 100644
index 000000000..f32e11888
--- /dev/null
+++ b/data/hfopenllm_v2/spow12/ChatWaifu_22B_v2.0_preview/fa3ccf4a-9b26-4a76-a974-3a776adec7c2.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/spow12_ChatWaifu_22B_v2.0_preview/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "ChatWaifu_22B_v2.0_preview",
+    "id": "spow12/ChatWaifu_22B_v2.0_preview",
+    "developer": "spow12",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 22.247
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6745
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.617
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1888
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3154
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3685
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3988
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/spow12/ChatWaifu_v1.4/ac56cc08-585f-4930-959d-7cbad08c34b0.json b/data/hfopenllm_v2/spow12/ChatWaifu_v1.4/ac56cc08-585f-4930-959d-7cbad08c34b0.json
deleted file mode 100644
index 3befb1816..000000000
--- a/data/hfopenllm_v2/spow12/ChatWaifu_v1.4/ac56cc08-585f-4930-959d-7cbad08c34b0.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/spow12_ChatWaifu_v1.4/1762652580.535029",
-  "retrieved_timestamp": "1762652580.5350301",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "spow12/ChatWaifu_v1.4",
-    "developer": "spow12",
-    "inference_platform": "unknown",
-    "id": "spow12/ChatWaifu_v1.4",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 12.248
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5690567693719332
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5176247229970669
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.10574018126888217
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3070469798657718
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.47433333333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3474900265957447
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/spow12/ChatWaifu_v1.4/ef4ac8ab-4ff5-4fce-94b6-443b1ef7964f.json b/data/hfopenllm_v2/spow12/ChatWaifu_v1.4/ef4ac8ab-4ff5-4fce-94b6-443b1ef7964f.json
new file mode 100644
index 000000000..4403618f1
--- /dev/null
+++ b/data/hfopenllm_v2/spow12/ChatWaifu_v1.4/ef4ac8ab-4ff5-4fce-94b6-443b1ef7964f.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/spow12_ChatWaifu_v1.4/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "ChatWaifu_v1.4",
+    "id": "spow12/ChatWaifu_v1.4",
+    "developer": "spow12",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 12.248
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5691
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5176
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1057
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.307
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4743
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3475
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/spow12/ChatWaifu_v2.0_22B/468bbea7-6dee-4a1a-84b3-e44b0f3ab95a.json b/data/hfopenllm_v2/spow12/ChatWaifu_v2.0_22B/468bbea7-6dee-4a1a-84b3-e44b0f3ab95a.json
new file mode 100644
index 000000000..83ea96c1c
--- /dev/null
+++ b/data/hfopenllm_v2/spow12/ChatWaifu_v2.0_22B/468bbea7-6dee-4a1a-84b3-e44b0f3ab95a.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/spow12_ChatWaifu_v2.0_22B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "ChatWaifu_v2.0_22B",
+    "id": "spow12/ChatWaifu_v2.0_22B",
+    "developer": "spow12",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 22.247
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6511
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5926
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1858
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3247
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3842
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3836
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/spow12/ChatWaifu_v2.0_22B/7698fd4d-b2d8-4ba9-98be-d96f9c666b2f.json b/data/hfopenllm_v2/spow12/ChatWaifu_v2.0_22B/7698fd4d-b2d8-4ba9-98be-d96f9c666b2f.json
deleted file mode 100644
index d57d17cca..000000000
--- a/data/hfopenllm_v2/spow12/ChatWaifu_v2.0_22B/7698fd4d-b2d8-4ba9-98be-d96f9c666b2f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/spow12_ChatWaifu_v2.0_22B/1762652580.535436",
-  "retrieved_timestamp": "1762652580.535437",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "spow12/ChatWaifu_v2.0_22B",
-    "developer": "spow12",
-    "inference_platform": "unknown",
-    "id": "spow12/ChatWaifu_v2.0_22B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 22.247
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6517384982956334
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5908050619550995
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.20317220543806647
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3238255033557047
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3841979166666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3812333776595745
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/spow12/ChatWaifu_v2.0_22B/bd8fdfa5-bda1-402b-9010-94bf78b0127b.json b/data/hfopenllm_v2/spow12/ChatWaifu_v2.0_22B/bd8fdfa5-bda1-402b-9010-94bf78b0127b.json
new file mode 100644
index 000000000..699016bfe
--- /dev/null
+++ b/data/hfopenllm_v2/spow12/ChatWaifu_v2.0_22B/bd8fdfa5-bda1-402b-9010-94bf78b0127b.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/spow12_ChatWaifu_v2.0_22B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "ChatWaifu_v2.0_22B",
+    "id": "spow12/ChatWaifu_v2.0_22B",
+    "developer": "spow12",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 22.247
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6517
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5908
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2032
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3238
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3842
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3812
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/spow12/ChatWaifu_v2.0_22B/cccb45b5-c5cb-43c0-be27-bacbb4db5c5b.json b/data/hfopenllm_v2/spow12/ChatWaifu_v2.0_22B/cccb45b5-c5cb-43c0-be27-bacbb4db5c5b.json
deleted file mode 100644
index ac622fc40..000000000
--- a/data/hfopenllm_v2/spow12/ChatWaifu_v2.0_22B/cccb45b5-c5cb-43c0-be27-bacbb4db5c5b.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/spow12_ChatWaifu_v2.0_22B/1762652580.5352252",
-  "retrieved_timestamp": "1762652580.535226",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "spow12/ChatWaifu_v2.0_22B",
-    "developer": "spow12",
-    "inference_platform": "unknown",
-    "id": "spow12/ChatWaifu_v2.0_22B",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 22.247
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6510891102275296
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.592630190761292
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.18580060422960726
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.32466442953020136
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3841979166666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3835605053191489
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/ssmits/Qwen2.5-95B-Instruct/1c441afa-b8ac-4ff9-b881-e75f8765dd8e.json b/data/hfopenllm_v2/ssmits/Qwen2.5-95B-Instruct/1c441afa-b8ac-4ff9-b881-e75f8765dd8e.json
deleted file mode 100644
index 70af5dc1c..000000000
--- a/data/hfopenllm_v2/ssmits/Qwen2.5-95B-Instruct/1c441afa-b8ac-4ff9-b881-e75f8765dd8e.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/ssmits_Qwen2.5-95B-Instruct/1762652580.535626",
-  "retrieved_timestamp": "1762652580.5356271",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "ssmits/Qwen2.5-95B-Instruct",
-    "developer": "ssmits",
-    "inference_platform": "unknown",
-    "id": "ssmits/Qwen2.5-95B-Instruct",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 94.648
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.8431051831363006
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7037799697488242
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5302114803625377
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3640939597315436
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4283854166666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5216921542553191
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/ssmits/Qwen2.5-95B-Instruct/a0b34b40-3e68-463f-a7fa-3c58c15aa16d.json b/data/hfopenllm_v2/ssmits/Qwen2.5-95B-Instruct/a0b34b40-3e68-463f-a7fa-3c58c15aa16d.json
new file mode 100644
index 000000000..21deb3a14
--- /dev/null
+++ b/data/hfopenllm_v2/ssmits/Qwen2.5-95B-Instruct/a0b34b40-3e68-463f-a7fa-3c58c15aa16d.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/ssmits_Qwen2.5-95B-Instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-95B-Instruct",
+    "id": "ssmits/Qwen2.5-95B-Instruct",
+    "developer": "ssmits",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 94.648
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.8431
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7038
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5302
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3641
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4284
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5217
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/stabilityai/StableBeluga2/ca7ae45f-833a-4ce2-9fb7-27601e9434c8.json b/data/hfopenllm_v2/stabilityai/StableBeluga2/ca7ae45f-833a-4ce2-9fb7-27601e9434c8.json
deleted file mode 100644
index 65b60c18d..000000000
--- a/data/hfopenllm_v2/stabilityai/StableBeluga2/ca7ae45f-833a-4ce2-9fb7-27601e9434c8.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/stabilityai_StableBeluga2/1762652580.535889",
-  "retrieved_timestamp": "1762652580.5358899",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "stabilityai/StableBeluga2",
-    "developer": "stabilityai",
-    "inference_platform": "unknown",
-    "id": "stabilityai/StableBeluga2",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 68.977
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37871403431783224
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5824128134553807
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.04380664652567976
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3162751677852349
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.47296875
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3326130319148936
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/stabilityai/StableBeluga2/dbf4fbac-cd99-426d-b725-600e60af00d2.json b/data/hfopenllm_v2/stabilityai/StableBeluga2/dbf4fbac-cd99-426d-b725-600e60af00d2.json
new file mode 100644
index 000000000..e8054b7c1
--- /dev/null
+++ b/data/hfopenllm_v2/stabilityai/StableBeluga2/dbf4fbac-cd99-426d-b725-600e60af00d2.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/stabilityai_StableBeluga2/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "StableBeluga2",
+    "id": "stabilityai/StableBeluga2",
+    "developer": "stabilityai",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 68.977
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3787
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5824
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0438
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3163
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.473
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3326
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/stabilityai/stablelm-2-12b-chat/22aad948-bcc7-4f8f-bb42-a839e3d1be96.json b/data/hfopenllm_v2/stabilityai/stablelm-2-12b-chat/22aad948-bcc7-4f8f-bb42-a839e3d1be96.json
deleted file mode 100644
index 5cca8b148..000000000
--- a/data/hfopenllm_v2/stabilityai/stablelm-2-12b-chat/22aad948-bcc7-4f8f-bb42-a839e3d1be96.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/stabilityai_stablelm-2-12b-chat/1762652580.536706",
-  "retrieved_timestamp": "1762652580.5367072",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "stabilityai/stablelm-2-12b-chat",
-    "developer": "stabilityai",
-    "inference_platform": "unknown",
-    "id": "stabilityai/stablelm-2-12b-chat",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "StableLmForCausalLM",
-      "params_billions": 12.143
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4081647805600252
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4672024731282805
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.05362537764350453
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.26677852348993286
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3914270833333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2734375
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/stabilityai/stablelm-2-12b-chat/f793c471-1638-476a-a050-455a32368e29.json b/data/hfopenllm_v2/stabilityai/stablelm-2-12b-chat/f793c471-1638-476a-a050-455a32368e29.json
new file mode 100644
index 000000000..53354e46f
--- /dev/null
+++ b/data/hfopenllm_v2/stabilityai/stablelm-2-12b-chat/f793c471-1638-476a-a050-455a32368e29.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/stabilityai_stablelm-2-12b-chat/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "stablelm-2-12b-chat",
+    "id": "stabilityai/stablelm-2-12b-chat",
+    "developer": "stabilityai",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "StableLmForCausalLM",
+      "params_billions": 12.143
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4082
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4672
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0536
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2668
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3914
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2734
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/stabilityai/stablelm-2-12b/1d9c1beb-f84b-4eb7-9c1e-ce5a70afabfb.json b/data/hfopenllm_v2/stabilityai/stablelm-2-12b/1d9c1beb-f84b-4eb7-9c1e-ce5a70afabfb.json
new file mode 100644
index 000000000..864befec9
--- /dev/null
+++ b/data/hfopenllm_v2/stabilityai/stablelm-2-12b/1d9c1beb-f84b-4eb7-9c1e-ce5a70afabfb.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/stabilityai_stablelm-2-12b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "stablelm-2-12b",
+    "id": "stabilityai/stablelm-2-12b",
+    "developer": "stabilityai",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "StableLmForCausalLM",
+      "params_billions": 12.143
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1569
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4509
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0431
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4479
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+        "score": 0.3072
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/stabilityai/stablelm-2-12b/21f9d0a5-3ed3-40de-a233-a45f68d669e0.json b/data/hfopenllm_v2/stabilityai/stablelm-2-12b/21f9d0a5-3ed3-40de-a233-a45f68d669e0.json
deleted file mode 100644
index 146ed9ea5..000000000
--- a/data/hfopenllm_v2/stabilityai/stablelm-2-12b/21f9d0a5-3ed3-40de-a233-a45f68d669e0.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/stabilityai_stablelm-2-12b/1762652580.536407",
-  "retrieved_timestamp": "1762652580.536408",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
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-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "stabilityai/stablelm-2-12b",
-    "developer": "stabilityai",
-    "inference_platform": "unknown",
-    "id": "stabilityai/stablelm-2-12b",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "StableLmForCausalLM",
-      "params_billions": 12.143
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    {
-      "evaluation_name": "BBH",
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-    {
-      "evaluation_name": "MUSR",
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.44788541666666665
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3071808510638298
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/stabilityai/stablelm-2-1_6b-chat/552dc523-3082-4980-a533-ad5d48f1260a.json b/data/hfopenllm_v2/stabilityai/stablelm-2-1_6b-chat/552dc523-3082-4980-a533-ad5d48f1260a.json
deleted file mode 100644
index 92109e517..000000000
--- a/data/hfopenllm_v2/stabilityai/stablelm-2-1_6b-chat/552dc523-3082-4980-a533-ad5d48f1260a.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/stabilityai_stablelm-2-1_6b-chat/1762652580.5372329",
-  "retrieved_timestamp": "1762652580.5372338",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "stabilityai/stablelm-2-1_6b-chat",
-    "developer": "stabilityai",
-    "inference_platform": "unknown",
-    "id": "stabilityai/stablelm-2-1_6b-chat",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "StableLmForCausalLM",
-      "params_billions": 1.645
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3390172395486522
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-    },
-    {
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-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-      "score_details": {
-        "score": 0.024924471299093656
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.24748322147651006
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.35796875
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.16215093085106383
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/stabilityai/stablelm-2-1_6b-chat/99396d97-d875-4cd9-a8a1-a9aec5c43bfc.json b/data/hfopenllm_v2/stabilityai/stablelm-2-1_6b-chat/99396d97-d875-4cd9-a8a1-a9aec5c43bfc.json
new file mode 100644
index 000000000..28f4bd994
--- /dev/null
+++ b/data/hfopenllm_v2/stabilityai/stablelm-2-1_6b-chat/99396d97-d875-4cd9-a8a1-a9aec5c43bfc.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/stabilityai_stablelm-2-1_6b-chat/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "stablelm-2-1_6b-chat",
+    "id": "stabilityai/stablelm-2-1_6b-chat",
+    "developer": "stabilityai",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "StableLmForCausalLM",
+      "params_billions": 1.645
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.306
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.339
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0249
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2475
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.358
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1622
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/stabilityai/stablelm-2-1_6b/78db2373-3fcf-468b-8c87-21db03b2fdda.json b/data/hfopenllm_v2/stabilityai/stablelm-2-1_6b/78db2373-3fcf-468b-8c87-21db03b2fdda.json
deleted file mode 100644
index 785524409..000000000
--- a/data/hfopenllm_v2/stabilityai/stablelm-2-1_6b/78db2373-3fcf-468b-8c87-21db03b2fdda.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/stabilityai_stablelm-2-1_6b/1762652580.5369868",
-  "retrieved_timestamp": "1762652580.536989",
-  "source_data": [
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-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "stabilityai/stablelm-2-1_6b",
-    "developer": "stabilityai",
-    "inference_platform": "unknown",
-    "id": "stabilityai/stablelm-2-1_6b",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "StableLmForCausalLM",
-      "params_billions": 1.645
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    {
-      "evaluation_name": "BBH",
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-        "lower_is_better": false,
-        "score_type": "continuous",
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-        "max_score": 1
-      },
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-        "score": 0.338457720511071
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
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-        "score_type": "continuous",
-        "min_score": 0,
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-      },
-      "score_details": {
-        "score": 0.2483221476510067
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.38819791666666664
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1463597074468085
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/stabilityai/stablelm-2-1_6b/82a44b46-156f-4232-92e4-6a08d7a4f197.json b/data/hfopenllm_v2/stabilityai/stablelm-2-1_6b/82a44b46-156f-4232-92e4-6a08d7a4f197.json
new file mode 100644
index 000000000..c8c4b25df
--- /dev/null
+++ b/data/hfopenllm_v2/stabilityai/stablelm-2-1_6b/82a44b46-156f-4232-92e4-6a08d7a4f197.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/stabilityai_stablelm-2-1_6b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "stablelm-2-1_6b",
+    "id": "stabilityai/stablelm-2-1_6b",
+    "developer": "stabilityai",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "StableLmForCausalLM",
+      "params_billions": 1.645
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1157
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3385
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0076
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2483
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3882
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1464
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/stabilityai/stablelm-2-zephyr-1_6b/3b40defd-5a2e-4d6e-838f-dbbbf12236fb.json b/data/hfopenllm_v2/stabilityai/stablelm-2-zephyr-1_6b/3b40defd-5a2e-4d6e-838f-dbbbf12236fb.json
new file mode 100644
index 000000000..c7a4b2631
--- /dev/null
+++ b/data/hfopenllm_v2/stabilityai/stablelm-2-zephyr-1_6b/3b40defd-5a2e-4d6e-838f-dbbbf12236fb.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/stabilityai_stablelm-2-zephyr-1_6b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "stablelm-2-zephyr-1_6b",
+    "id": "stabilityai/stablelm-2-zephyr-1_6b",
+    "developer": "stabilityai",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "StableLmForCausalLM",
+      "params_billions": 1.645
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3279
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3352
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0332
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2433
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3511
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1714
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/stabilityai/stablelm-2-zephyr-1_6b/96179bdf-3e1a-47ee-9fc2-ac0b23307556.json b/data/hfopenllm_v2/stabilityai/stablelm-2-zephyr-1_6b/96179bdf-3e1a-47ee-9fc2-ac0b23307556.json
deleted file mode 100644
index aa8889f1d..000000000
--- a/data/hfopenllm_v2/stabilityai/stablelm-2-zephyr-1_6b/96179bdf-3e1a-47ee-9fc2-ac0b23307556.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/stabilityai_stablelm-2-zephyr-1_6b/1762652580.537471",
-  "retrieved_timestamp": "1762652580.537472",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "stabilityai/stablelm-2-zephyr-1_6b",
-    "developer": "stabilityai",
-    "inference_platform": "unknown",
-    "id": "stabilityai/stablelm-2-zephyr-1_6b",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "StableLmForCausalLM",
-      "params_billions": 1.645
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.32793100085550786
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3351608706280727
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.03323262839879154
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.24328859060402686
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3511458333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.17137632978723405
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/stabilityai/stablelm-3b-4e1t/3280f4cf-dbb7-46ad-a64c-d4e3c4a58e50.json b/data/hfopenllm_v2/stabilityai/stablelm-3b-4e1t/3280f4cf-dbb7-46ad-a64c-d4e3c4a58e50.json
deleted file mode 100644
index 8c2442f2e..000000000
--- a/data/hfopenllm_v2/stabilityai/stablelm-3b-4e1t/3280f4cf-dbb7-46ad-a64c-d4e3c4a58e50.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/stabilityai_stablelm-3b-4e1t/1762652580.5377111",
-  "retrieved_timestamp": "1762652580.537712",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "stabilityai/stablelm-3b-4e1t",
-    "developer": "stabilityai",
-    "inference_platform": "unknown",
-    "id": "stabilityai/stablelm-3b-4e1t",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "StableLmForCausalLM",
-      "params_billions": 2.795
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.22031986240951784
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3504211415826912
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.010574018126888218
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.23741610738255034
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37778124999999996
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1668882978723404
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/stabilityai/stablelm-3b-4e1t/dde41cd5-e6d1-43a9-9593-1a5751bc5f44.json b/data/hfopenllm_v2/stabilityai/stablelm-3b-4e1t/dde41cd5-e6d1-43a9-9593-1a5751bc5f44.json
new file mode 100644
index 000000000..5c466e1f8
--- /dev/null
+++ b/data/hfopenllm_v2/stabilityai/stablelm-3b-4e1t/dde41cd5-e6d1-43a9-9593-1a5751bc5f44.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/stabilityai_stablelm-3b-4e1t/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "stablelm-3b-4e1t",
+    "id": "stabilityai/stablelm-3b-4e1t",
+    "developer": "stabilityai",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "StableLmForCausalLM",
+      "params_billions": 2.795
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2203
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3504
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0106
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2374
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3778
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1669
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/stabilityai/stablelm-zephyr-3b/1cffcbeb-ef81-4efe-b883-0a8540a799e7.json b/data/hfopenllm_v2/stabilityai/stablelm-zephyr-3b/1cffcbeb-ef81-4efe-b883-0a8540a799e7.json
new file mode 100644
index 000000000..736b9c1ac
--- /dev/null
+++ b/data/hfopenllm_v2/stabilityai/stablelm-zephyr-3b/1cffcbeb-ef81-4efe-b883-0a8540a799e7.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/stabilityai_stablelm-zephyr-3b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "stablelm-zephyr-3b",
+    "id": "stabilityai/stablelm-zephyr-3b",
+    "developer": "stabilityai",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "StableLmForCausalLM",
+      "params_billions": 2.795
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3683
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3866
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0431
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2391
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4183
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1768
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/stabilityai/stablelm-zephyr-3b/94960f86-3898-4add-8590-8abeff66a987.json b/data/hfopenllm_v2/stabilityai/stablelm-zephyr-3b/94960f86-3898-4add-8590-8abeff66a987.json
deleted file mode 100644
index 97b97d007..000000000
--- a/data/hfopenllm_v2/stabilityai/stablelm-zephyr-3b/94960f86-3898-4add-8590-8abeff66a987.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-        "min_score": 0,
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-        "score_type": "continuous",
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diff --git a/data/hfopenllm_v2/sthenno-com/miscii-14b-0130/033ef96e-3d2d-49a4-bbff-8bc815a1b40e.json b/data/hfopenllm_v2/sthenno-com/miscii-14b-0130/033ef96e-3d2d-49a4-bbff-8bc815a1b40e.json
new file mode 100644
index 000000000..436ce33be
--- /dev/null
+++ b/data/hfopenllm_v2/sthenno-com/miscii-14b-0130/033ef96e-3d2d-49a4-bbff-8bc815a1b40e.json
@@ -0,0 +1,132 @@
+{
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+  "source_metadata": {
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+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "miscii-14b-0130",
+    "id": "sthenno-com/miscii-14b-0130",
+    "developer": "sthenno-com",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.766
+    }
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+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6505
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+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
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+        "hf_repo": "Idavidrein/gpqa"
+      },
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+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3817
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+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4912
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+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5363
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/sthenno-com/miscii-14b-0130/40a09314-bb43-41ff-a36a-b39064c37add.json b/data/hfopenllm_v2/sthenno-com/miscii-14b-0130/40a09314-bb43-41ff-a36a-b39064c37add.json
deleted file mode 100644
index 0762d1acd..000000000
--- a/data/hfopenllm_v2/sthenno-com/miscii-14b-0130/40a09314-bb43-41ff-a36a-b39064c37add.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-    "source_name": "HF Open LLM v2",
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-        "lower_is_better": false,
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diff --git a/data/hfopenllm_v2/sthenno-com/miscii-14b-0218/bfe654b8-cb79-4845-bf14-85012207ce90.json b/data/hfopenllm_v2/sthenno-com/miscii-14b-0218/bfe654b8-cb79-4845-bf14-85012207ce90.json
new file mode 100644
index 000000000..19981a9c3
--- /dev/null
+++ b/data/hfopenllm_v2/sthenno-com/miscii-14b-0218/bfe654b8-cb79-4845-bf14-85012207ce90.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/sthenno-com_miscii-14b-0218/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "miscii-14b-0218",
+    "id": "sthenno-com/miscii-14b-0218",
+    "developer": "sthenno-com",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.766
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6559
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "max_score": 1.0
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+        "hf_repo": "Idavidrein/gpqa"
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+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3834
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+      "score_details": {
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+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5298
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+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/sthenno-com/miscii-14b-0218/f73b09b4-020d-49fd-8ede-6a690088be94.json b/data/hfopenllm_v2/sthenno-com/miscii-14b-0218/f73b09b4-020d-49fd-8ede-6a690088be94.json
deleted file mode 100644
index b1dec202a..000000000
--- a/data/hfopenllm_v2/sthenno-com/miscii-14b-0218/f73b09b4-020d-49fd-8ede-6a690088be94.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-    "source_type": "documentation"
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-  "model_info": {
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-    "developer": "sthenno-com",
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diff --git a/data/hfopenllm_v2/sthenno-com/miscii-14b-1028/3f2549af-9bc5-4ad1-a429-79bbb91c929f.json b/data/hfopenllm_v2/sthenno-com/miscii-14b-1028/3f2549af-9bc5-4ad1-a429-79bbb91c929f.json
deleted file mode 100644
index a197b5d62..000000000
--- a/data/hfopenllm_v2/sthenno-com/miscii-14b-1028/3f2549af-9bc5-4ad1-a429-79bbb91c929f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/sthenno-com/miscii-14b-1028/5c4efc23-9591-447b-aecc-4c82797d7d01.json b/data/hfopenllm_v2/sthenno-com/miscii-14b-1028/5c4efc23-9591-447b-aecc-4c82797d7d01.json
new file mode 100644
index 000000000..49b055e2c
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+++ b/data/hfopenllm_v2/sthenno-com/miscii-14b-1028/5c4efc23-9591-447b-aecc-4c82797d7d01.json
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/sthenno-com/miscii-14b-1225/a5fe3fab-95d9-41ac-a95f-66205e489dae.json b/data/hfopenllm_v2/sthenno-com/miscii-14b-1225/a5fe3fab-95d9-41ac-a95f-66205e489dae.json
new file mode 100644
index 000000000..4635e6e86
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/sthenno-com/miscii-14b-1225/ab816ab5-9edb-49d1-8f89-c3dc36a8a0de.json b/data/hfopenllm_v2/sthenno-com/miscii-14b-1225/ab816ab5-9edb-49d1-8f89-c3dc36a8a0de.json
deleted file mode 100644
index c25214c05..000000000
--- a/data/hfopenllm_v2/sthenno-com/miscii-14b-1225/ab816ab5-9edb-49d1-8f89-c3dc36a8a0de.json
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deleted file mode 100644
index 3b88d6a25..000000000
--- a/data/hfopenllm_v2/sthenno/tempesthenno-0120/9285700f-106e-481d-88bc-5d59b5d57377.json
+++ /dev/null
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new file mode 100644
index 000000000..c30b2e881
--- /dev/null
+++ b/data/hfopenllm_v2/sthenno/tempesthenno-0120/c0bf8ffb-444a-43a3-9514-76aa92c5f5b7.json
@@ -0,0 +1,132 @@
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+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/sthenno/tempesthenno-fusion-0309/3d556d9f-036b-4368-bb4a-18ad6b444bdf.json b/data/hfopenllm_v2/sthenno/tempesthenno-fusion-0309/3d556d9f-036b-4368-bb4a-18ad6b444bdf.json
new file mode 100644
index 000000000..78afda82b
--- /dev/null
+++ b/data/hfopenllm_v2/sthenno/tempesthenno-fusion-0309/3d556d9f-036b-4368-bb4a-18ad6b444bdf.json
@@ -0,0 +1,132 @@
+{
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+  "evaluation_id": "hfopenllm_v2/sthenno_tempesthenno-fusion-0309/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "tempesthenno-fusion-0309",
+    "id": "sthenno/tempesthenno-fusion-0309",
+    "developer": "sthenno",
+    "inference_platform": "unknown",
+    "additional_details": {
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+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.766
+    }
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+        "source_type": "hf_dataset",
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+      },
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+      }
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
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+        "hf_repo": "Idavidrein/gpqa"
+      },
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+        "score_type": "continuous",
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+        "max_score": 1.0
+      },
+      "score_details": {
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+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
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+        "score": 0.5258
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/sthenno/tempesthenno-fusion-0309/97793808-7d23-4ec7-b1dd-0c7b1dea1c3c.json b/data/hfopenllm_v2/sthenno/tempesthenno-fusion-0309/97793808-7d23-4ec7-b1dd-0c7b1dea1c3c.json
deleted file mode 100644
index d97efa8e8..000000000
--- a/data/hfopenllm_v2/sthenno/tempesthenno-fusion-0309/97793808-7d23-4ec7-b1dd-0c7b1dea1c3c.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/sthenno_tempesthenno-fusion-0309/1762652580.538481",
-  "retrieved_timestamp": "1762652580.538483",
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
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-  "model_info": {
-    "name": "sthenno/tempesthenno-fusion-0309",
-    "developer": "sthenno",
-    "inference_platform": "unknown",
-    "id": "sthenno/tempesthenno-fusion-0309",
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-      "evaluation_name": "IFEval",
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-        "lower_is_better": false,
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-}
diff --git a/data/hfopenllm_v2/sthenno/tempesthenno-kto-0205-ckpt80/689a346d-191e-4ec1-93b5-6f64c1a293ff.json b/data/hfopenllm_v2/sthenno/tempesthenno-kto-0205-ckpt80/689a346d-191e-4ec1-93b5-6f64c1a293ff.json
deleted file mode 100644
index b0b774f49..000000000
--- a/data/hfopenllm_v2/sthenno/tempesthenno-kto-0205-ckpt80/689a346d-191e-4ec1-93b5-6f64c1a293ff.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
-    "name": "sthenno/tempesthenno-kto-0205-ckpt80",
-    "developer": "sthenno",
-    "inference_platform": "unknown",
-    "id": "sthenno/tempesthenno-kto-0205-ckpt80",
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-      "architecture": "Qwen2ForCausalLM",
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-        "lower_is_better": false,
-        "score_type": "continuous",
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-}
diff --git a/data/hfopenllm_v2/sthenno/tempesthenno-kto-0205-ckpt80/92905e27-1033-4423-b87d-23236f9be964.json b/data/hfopenllm_v2/sthenno/tempesthenno-kto-0205-ckpt80/92905e27-1033-4423-b87d-23236f9be964.json
new file mode 100644
index 000000000..588277559
--- /dev/null
+++ b/data/hfopenllm_v2/sthenno/tempesthenno-kto-0205-ckpt80/92905e27-1033-4423-b87d-23236f9be964.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/sthenno_tempesthenno-kto-0205-ckpt80/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "tempesthenno-kto-0205-ckpt80",
+    "id": "sthenno/tempesthenno-kto-0205-ckpt80",
+    "developer": "sthenno",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.766
+    }
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+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.8054
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+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "max_score": 1.0
+      },
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+    {
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3482
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+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4248
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+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5286
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/sthenno/tempesthenno-nuslerp-001/17326bb0-42c2-469a-ac19-6a4b75d9e6e2.json b/data/hfopenllm_v2/sthenno/tempesthenno-nuslerp-001/17326bb0-42c2-469a-ac19-6a4b75d9e6e2.json
new file mode 100644
index 000000000..752a4f6d2
--- /dev/null
+++ b/data/hfopenllm_v2/sthenno/tempesthenno-nuslerp-001/17326bb0-42c2-469a-ac19-6a4b75d9e6e2.json
@@ -0,0 +1,132 @@
+{
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+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
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+  "model_info": {
+    "name": "tempesthenno-nuslerp-001",
+    "id": "sthenno/tempesthenno-nuslerp-001",
+    "developer": "sthenno",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
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+        "max_score": 1.0
+      },
+      "score_details": {
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+    },
+    {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
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+        "max_score": 1.0
+      },
+      "score_details": {
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+    },
+    {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
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+        "score_type": "continuous",
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+      "metric_config": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
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+        "score_type": "continuous",
+        "min_score": 0.0,
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+      },
+      "score_details": {
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+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5257
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/sthenno/tempesthenno-nuslerp-001/1d12c40a-a9b5-483b-aaac-07e323de73a9.json b/data/hfopenllm_v2/sthenno/tempesthenno-nuslerp-001/1d12c40a-a9b5-483b-aaac-07e323de73a9.json
deleted file mode 100644
index b78a266ac..000000000
--- a/data/hfopenllm_v2/sthenno/tempesthenno-nuslerp-001/1d12c40a-a9b5-483b-aaac-07e323de73a9.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/sthenno_tempesthenno-nuslerp-001/1762652580.5390232",
-  "retrieved_timestamp": "1762652580.5390239",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "sthenno/tempesthenno-nuslerp-001",
-    "developer": "sthenno",
-    "inference_platform": "unknown",
-    "id": "sthenno/tempesthenno-nuslerp-001",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 14.766
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7926468437080281
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6577675676172494
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.47583081570996977
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3733221476510067
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.43
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5256815159574468
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/sthenno/tempesthenno-nuslerp-0124/11574f56-6c34-48e4-8fb5-c58d42f07330.json b/data/hfopenllm_v2/sthenno/tempesthenno-nuslerp-0124/11574f56-6c34-48e4-8fb5-c58d42f07330.json
new file mode 100644
index 000000000..26b47b3b3
--- /dev/null
+++ b/data/hfopenllm_v2/sthenno/tempesthenno-nuslerp-0124/11574f56-6c34-48e4-8fb5-c58d42f07330.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/sthenno_tempesthenno-nuslerp-0124/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "tempesthenno-nuslerp-0124",
+    "id": "sthenno/tempesthenno-nuslerp-0124",
+    "developer": "sthenno",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.766
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7004
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6469
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4116
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3901
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4859
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5352
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/sthenno/tempesthenno-nuslerp-0124/b814d738-b9f3-42df-8774-0708d456c2ea.json b/data/hfopenllm_v2/sthenno/tempesthenno-nuslerp-0124/b814d738-b9f3-42df-8774-0708d456c2ea.json
deleted file mode 100644
index 3c7cb7d90..000000000
--- a/data/hfopenllm_v2/sthenno/tempesthenno-nuslerp-0124/b814d738-b9f3-42df-8774-0708d456c2ea.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/sthenno_tempesthenno-nuslerp-0124/1762652580.539254",
-  "retrieved_timestamp": "1762652580.5392551",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "sthenno/tempesthenno-nuslerp-0124",
-    "developer": "sthenno",
-    "inference_platform": "unknown",
-    "id": "sthenno/tempesthenno-nuslerp-0124",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 14.766
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7003982765728267
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6468547741903091
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.411631419939577
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3901006711409396
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.48592708333333334
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5352393617021277
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/sthenno/tempesthenno-ppo-ckpt40/7c2e9776-92e4-457b-ae08-32c3e351b8e1.json b/data/hfopenllm_v2/sthenno/tempesthenno-ppo-ckpt40/7c2e9776-92e4-457b-ae08-32c3e351b8e1.json
deleted file mode 100644
index a7db1cf26..000000000
--- a/data/hfopenllm_v2/sthenno/tempesthenno-ppo-ckpt40/7c2e9776-92e4-457b-ae08-32c3e351b8e1.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/sthenno_tempesthenno-ppo-ckpt40/1762652580.539634",
-  "retrieved_timestamp": "1762652580.539635",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "sthenno/tempesthenno-ppo-ckpt40",
-    "developer": "sthenno",
-    "inference_platform": "unknown",
-    "id": "sthenno/tempesthenno-ppo-ckpt40",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 14.766
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7923221496739761
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6549600322869433
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4735649546827795
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3775167785234899
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4351770833333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5291722074468085
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/sthenno/tempesthenno-ppo-ckpt40/8f728c51-15f9-422d-bbdb-4d976961ab9d.json b/data/hfopenllm_v2/sthenno/tempesthenno-ppo-ckpt40/8f728c51-15f9-422d-bbdb-4d976961ab9d.json
new file mode 100644
index 000000000..e24916e51
--- /dev/null
+++ b/data/hfopenllm_v2/sthenno/tempesthenno-ppo-ckpt40/8f728c51-15f9-422d-bbdb-4d976961ab9d.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/sthenno_tempesthenno-ppo-ckpt40/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "tempesthenno-ppo-ckpt40",
+    "id": "sthenno/tempesthenno-ppo-ckpt40",
+    "developer": "sthenno",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.766
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7923
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.655
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4736
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3775
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4352
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5292
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/sthenno/tempesthenno-sft-0309-ckpt10/65f19ffe-7428-41e5-a52d-02fad8e595c0.json b/data/hfopenllm_v2/sthenno/tempesthenno-sft-0309-ckpt10/65f19ffe-7428-41e5-a52d-02fad8e595c0.json
deleted file mode 100644
index 3a4401da9..000000000
--- a/data/hfopenllm_v2/sthenno/tempesthenno-sft-0309-ckpt10/65f19ffe-7428-41e5-a52d-02fad8e595c0.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/sthenno_tempesthenno-sft-0309-ckpt10/1762652580.539892",
-  "retrieved_timestamp": "1762652580.539893",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
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-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-      "evaluation_name": "MMLU-PRO",
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-        "score_type": "continuous",
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diff --git a/data/hfopenllm_v2/sthenno/tempesthenno-sft-0309-ckpt10/8d6e4b5e-ad17-4390-bc6b-ab6581a62442.json b/data/hfopenllm_v2/sthenno/tempesthenno-sft-0309-ckpt10/8d6e4b5e-ad17-4390-bc6b-ab6581a62442.json
new file mode 100644
index 000000000..884df38c1
--- /dev/null
+++ b/data/hfopenllm_v2/sthenno/tempesthenno-sft-0309-ckpt10/8d6e4b5e-ad17-4390-bc6b-ab6581a62442.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/sthenno_tempesthenno-sft-0309-ckpt10/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "tempesthenno-sft-0309-ckpt10",
+    "id": "sthenno/tempesthenno-sft-0309-ckpt10",
+    "developer": "sthenno",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.766
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7744
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6552
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3716
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4364
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+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5258
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/sthenno/tempesthenno-sft-0314-stage1-ckpt50/07d2cbaf-fa54-4d0b-bdb7-4179b5f3bebe.json b/data/hfopenllm_v2/sthenno/tempesthenno-sft-0314-stage1-ckpt50/07d2cbaf-fa54-4d0b-bdb7-4179b5f3bebe.json
deleted file mode 100644
index b47230f13..000000000
--- a/data/hfopenllm_v2/sthenno/tempesthenno-sft-0314-stage1-ckpt50/07d2cbaf-fa54-4d0b-bdb7-4179b5f3bebe.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/sthenno_tempesthenno-sft-0314-stage1-ckpt50/1762652580.540305",
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-  "source_data": [
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-  "source_metadata": {
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
-    "name": "sthenno/tempesthenno-sft-0314-stage1-ckpt50",
-    "developer": "sthenno",
-    "inference_platform": "unknown",
-    "id": "sthenno/tempesthenno-sft-0314-stage1-ckpt50",
-    "additional_details": {
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-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 14.766
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-    {
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-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.44286458333333334
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-    }
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-}
diff --git a/data/hfopenllm_v2/sthenno/tempesthenno-sft-0314-stage1-ckpt50/5e33bf05-6c67-4ecc-982d-7590e9953145.json b/data/hfopenllm_v2/sthenno/tempesthenno-sft-0314-stage1-ckpt50/5e33bf05-6c67-4ecc-982d-7590e9953145.json
new file mode 100644
index 000000000..bdf205c44
--- /dev/null
+++ b/data/hfopenllm_v2/sthenno/tempesthenno-sft-0314-stage1-ckpt50/5e33bf05-6c67-4ecc-982d-7590e9953145.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/sthenno_tempesthenno-sft-0314-stage1-ckpt50/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "tempesthenno-sft-0314-stage1-ckpt50",
+    "id": "sthenno/tempesthenno-sft-0314-stage1-ckpt50",
+    "developer": "sthenno",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.766
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7394
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6601
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4683
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3733
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4429
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5302
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/sthenno/tempestissimo-14b-0309/eab26e25-e8bd-4c19-8f14-a933506372c6.json b/data/hfopenllm_v2/sthenno/tempestissimo-14b-0309/eab26e25-e8bd-4c19-8f14-a933506372c6.json
deleted file mode 100644
index 97ad8a5d9..000000000
--- a/data/hfopenllm_v2/sthenno/tempestissimo-14b-0309/eab26e25-e8bd-4c19-8f14-a933506372c6.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/sthenno_tempestissimo-14b-0309/1762652580.540641",
-  "retrieved_timestamp": "1762652580.540643",
-  "source_data": [
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-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "sthenno/tempestissimo-14b-0309",
-    "developer": "sthenno",
-    "inference_platform": "unknown",
-    "id": "sthenno/tempestissimo-14b-0309",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 14.766
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7548781677061308
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-    },
-    {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6587329699954757
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.479607250755287
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.36661073825503354
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.43123958333333334
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.528091755319149
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/sthenno/tempestissimo-14b-0309/f55ae879-bd95-409c-a8a3-9a57cd615a31.json b/data/hfopenllm_v2/sthenno/tempestissimo-14b-0309/f55ae879-bd95-409c-a8a3-9a57cd615a31.json
new file mode 100644
index 000000000..63af9669e
--- /dev/null
+++ b/data/hfopenllm_v2/sthenno/tempestissimo-14b-0309/f55ae879-bd95-409c-a8a3-9a57cd615a31.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/sthenno_tempestissimo-14b-0309/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "tempestissimo-14b-0309",
+    "id": "sthenno/tempestissimo-14b-0309",
+    "developer": "sthenno",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.766
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7549
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6587
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4796
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3666
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4312
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5281
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/streamerbtw1002/Nexuim-R1-7B-Instruct/3e78ef29-f546-41b0-af2b-f3ae4154e396.json b/data/hfopenllm_v2/streamerbtw1002/Nexuim-R1-7B-Instruct/3e78ef29-f546-41b0-af2b-f3ae4154e396.json
deleted file mode 100644
index bff4064ec..000000000
--- a/data/hfopenllm_v2/streamerbtw1002/Nexuim-R1-7B-Instruct/3e78ef29-f546-41b0-af2b-f3ae4154e396.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/streamerbtw1002_Nexuim-R1-7B-Instruct/1762652580.541884",
-  "retrieved_timestamp": "1762652580.541885",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "streamerbtw1002/Nexuim-R1-7B-Instruct",
-    "developer": "streamerbtw1002",
-    "inference_platform": "unknown",
-    "id": "streamerbtw1002/Nexuim-R1-7B-Instruct",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.616
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6934289906337407
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5175174748142363
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.44561933534743203
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.25922818791946306
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.33555208333333336
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.413813164893617
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/streamerbtw1002/Nexuim-R1-7B-Instruct/b8426ac9-14f1-4e07-9c7e-b50cb2c7a1e3.json b/data/hfopenllm_v2/streamerbtw1002/Nexuim-R1-7B-Instruct/b8426ac9-14f1-4e07-9c7e-b50cb2c7a1e3.json
new file mode 100644
index 000000000..c89456ac8
--- /dev/null
+++ b/data/hfopenllm_v2/streamerbtw1002/Nexuim-R1-7B-Instruct/b8426ac9-14f1-4e07-9c7e-b50cb2c7a1e3.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/streamerbtw1002_Nexuim-R1-7B-Instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Nexuim-R1-7B-Instruct",
+    "id": "streamerbtw1002/Nexuim-R1-7B-Instruct",
+    "developer": "streamerbtw1002",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6934
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5175
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4456
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2592
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3356
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4138
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/stupidity-ai/Llama-3-8B-Instruct-MultiMoose/2f177d4b-50fb-4a87-a157-84d1094d3971.json b/data/hfopenllm_v2/stupidity-ai/Llama-3-8B-Instruct-MultiMoose/2f177d4b-50fb-4a87-a157-84d1094d3971.json
deleted file mode 100644
index a1414e45b..000000000
--- a/data/hfopenllm_v2/stupidity-ai/Llama-3-8B-Instruct-MultiMoose/2f177d4b-50fb-4a87-a157-84d1094d3971.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/stupidity-ai_Llama-3-8B-Instruct-MultiMoose/1762652580.5421681",
-  "retrieved_timestamp": "1762652580.542169",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "stupidity-ai/Llama-3-8B-Instruct-MultiMoose",
-    "developer": "stupidity-ai",
-    "inference_platform": "unknown",
-    "id": "stupidity-ai/Llama-3-8B-Instruct-MultiMoose",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.23181048506850713
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2822965317600308
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.0
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2533557046979866
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3485416666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.109375
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/stupidity-ai/Llama-3-8B-Instruct-MultiMoose/51fd90b0-0d5a-4199-ba5b-ff29eeeab06b.json b/data/hfopenllm_v2/stupidity-ai/Llama-3-8B-Instruct-MultiMoose/51fd90b0-0d5a-4199-ba5b-ff29eeeab06b.json
new file mode 100644
index 000000000..09f45ca03
--- /dev/null
+++ b/data/hfopenllm_v2/stupidity-ai/Llama-3-8B-Instruct-MultiMoose/51fd90b0-0d5a-4199-ba5b-ff29eeeab06b.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/stupidity-ai_Llama-3-8B-Instruct-MultiMoose/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-3-8B-Instruct-MultiMoose",
+    "id": "stupidity-ai/Llama-3-8B-Instruct-MultiMoose",
+    "developer": "stupidity-ai",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2318
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2823
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2534
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3485
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1094
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/suayptalha/Clarus-7B-v0.1/b1070a2a-7694-472d-84a4-f20f4cfe1b88.json b/data/hfopenllm_v2/suayptalha/Clarus-7B-v0.1/b1070a2a-7694-472d-84a4-f20f4cfe1b88.json
deleted file mode 100644
index 96468cbf8..000000000
--- a/data/hfopenllm_v2/suayptalha/Clarus-7B-v0.1/b1070a2a-7694-472d-84a4-f20f4cfe1b88.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/suayptalha_Clarus-7B-v0.1/1762652580.542475",
-  "retrieved_timestamp": "1762652580.5424771",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "suayptalha/Clarus-7B-v0.1",
-    "developer": "suayptalha",
-    "inference_platform": "unknown",
-    "id": "suayptalha/Clarus-7B-v0.1",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.616
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7454110648634512
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5496611433440965
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.49244712990936557
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
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-        "max_score": 1
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-      "score_details": {
-        "score": 0.3070469798657718
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-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-}
diff --git a/data/hfopenllm_v2/suayptalha/Clarus-7B-v0.1/c46e4fa1-afae-4b68-a13e-034b5cd2b779.json b/data/hfopenllm_v2/suayptalha/Clarus-7B-v0.1/c46e4fa1-afae-4b68-a13e-034b5cd2b779.json
new file mode 100644
index 000000000..516714298
--- /dev/null
+++ b/data/hfopenllm_v2/suayptalha/Clarus-7B-v0.1/c46e4fa1-afae-4b68-a13e-034b5cd2b779.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/suayptalha_Clarus-7B-v0.1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Clarus-7B-v0.1",
+    "id": "suayptalha/Clarus-7B-v0.1",
+    "developer": "suayptalha",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7454
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5497
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4924
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.307
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.443
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4387
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/suayptalha/Clarus-7B-v0.2/42cc06ed-20fc-4e84-836f-3d7243ec336d.json b/data/hfopenllm_v2/suayptalha/Clarus-7B-v0.2/42cc06ed-20fc-4e84-836f-3d7243ec336d.json
new file mode 100644
index 000000000..c5b09072a
--- /dev/null
+++ b/data/hfopenllm_v2/suayptalha/Clarus-7B-v0.2/42cc06ed-20fc-4e84-836f-3d7243ec336d.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/suayptalha_Clarus-7B-v0.2/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Clarus-7B-v0.2",
+    "id": "suayptalha/Clarus-7B-v0.2",
+    "developer": "suayptalha",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.613
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7679
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.549
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4856
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.302
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4417
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.44
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/suayptalha/Clarus-7B-v0.2/c85bdaec-43e5-4507-a615-89549901e392.json b/data/hfopenllm_v2/suayptalha/Clarus-7B-v0.2/c85bdaec-43e5-4507-a615-89549901e392.json
deleted file mode 100644
index 48380c062..000000000
--- a/data/hfopenllm_v2/suayptalha/Clarus-7B-v0.2/c85bdaec-43e5-4507-a615-89549901e392.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/suayptalha_Clarus-7B-v0.2/1762652580.542793",
-  "retrieved_timestamp": "1762652580.542794",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "suayptalha/Clarus-7B-v0.2",
-    "developer": "suayptalha",
-    "inference_platform": "unknown",
-    "id": "suayptalha/Clarus-7B-v0.2",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.613
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7679423928509688
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5490057426751466
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.48564954682779454
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30201342281879195
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.44165625000000003
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4399933510638298
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/suayptalha/Clarus-7B-v0.3/21d1f676-4a7d-4305-b248-4a72d7ce0121.json b/data/hfopenllm_v2/suayptalha/Clarus-7B-v0.3/21d1f676-4a7d-4305-b248-4a72d7ce0121.json
deleted file mode 100644
index 4d3842dd2..000000000
--- a/data/hfopenllm_v2/suayptalha/Clarus-7B-v0.3/21d1f676-4a7d-4305-b248-4a72d7ce0121.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/suayptalha_Clarus-7B-v0.3/1762652580.543006",
-  "retrieved_timestamp": "1762652580.543007",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "suayptalha/Clarus-7B-v0.3",
-    "developer": "suayptalha",
-    "inference_platform": "unknown",
-    "id": "suayptalha/Clarus-7B-v0.3",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.616
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7509064836855099
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5525985716155296
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4879154078549849
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.31208053691275167
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.44022916666666667
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4384973404255319
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/suayptalha/Clarus-7B-v0.3/aaa53387-af33-4454-95f0-3af85f4778c0.json b/data/hfopenllm_v2/suayptalha/Clarus-7B-v0.3/aaa53387-af33-4454-95f0-3af85f4778c0.json
new file mode 100644
index 000000000..d58a5c307
--- /dev/null
+++ b/data/hfopenllm_v2/suayptalha/Clarus-7B-v0.3/aaa53387-af33-4454-95f0-3af85f4778c0.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/suayptalha_Clarus-7B-v0.3/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Clarus-7B-v0.3",
+    "id": "suayptalha/Clarus-7B-v0.3",
+    "developer": "suayptalha",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7509
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5526
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4879
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3121
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4402
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4385
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/suayptalha/DeepSeek-R1-Distill-Llama-3B/465bca6d-b32a-4d34-9916-fc8b3166faa0.json b/data/hfopenllm_v2/suayptalha/DeepSeek-R1-Distill-Llama-3B/465bca6d-b32a-4d34-9916-fc8b3166faa0.json
new file mode 100644
index 000000000..c2621e7be
--- /dev/null
+++ b/data/hfopenllm_v2/suayptalha/DeepSeek-R1-Distill-Llama-3B/465bca6d-b32a-4d34-9916-fc8b3166faa0.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/suayptalha_DeepSeek-R1-Distill-Llama-3B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "DeepSeek-R1-Distill-Llama-3B",
+    "id": "suayptalha/DeepSeek-R1-Distill-Llama-3B",
+    "developer": "suayptalha",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 3.213
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7093
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4452
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2092
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2609
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3396
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2978
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/suayptalha/Falcon3-Jessi-v0.4-7B-Slerp/9a9cb5f7-e95a-46c5-90ed-42152fc0a617.json b/data/hfopenllm_v2/suayptalha/Falcon3-Jessi-v0.4-7B-Slerp/9a9cb5f7-e95a-46c5-90ed-42152fc0a617.json
deleted file mode 100644
index 9cecbf940..000000000
--- a/data/hfopenllm_v2/suayptalha/Falcon3-Jessi-v0.4-7B-Slerp/9a9cb5f7-e95a-46c5-90ed-42152fc0a617.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/suayptalha_Falcon3-Jessi-v0.4-7B-Slerp/1762652580.543463",
-  "retrieved_timestamp": "1762652580.543463",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "suayptalha/Falcon3-Jessi-v0.4-7B-Slerp",
-    "developer": "suayptalha",
-    "inference_platform": "unknown",
-    "id": "suayptalha/Falcon3-Jessi-v0.4-7B-Slerp",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 7.456
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7676176988169169
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5590927389495824
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.39652567975830816
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.31208053691275167
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.48121875000000003
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.406000664893617
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/suayptalha/Falcon3-Jessi-v0.4-7B-Slerp/bf138f3d-09d9-4dea-aa43-5efc804bc775.json b/data/hfopenllm_v2/suayptalha/Falcon3-Jessi-v0.4-7B-Slerp/bf138f3d-09d9-4dea-aa43-5efc804bc775.json
new file mode 100644
index 000000000..21408cebb
--- /dev/null
+++ b/data/hfopenllm_v2/suayptalha/Falcon3-Jessi-v0.4-7B-Slerp/bf138f3d-09d9-4dea-aa43-5efc804bc775.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/suayptalha_Falcon3-Jessi-v0.4-7B-Slerp/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Falcon3-Jessi-v0.4-7B-Slerp",
+    "id": "suayptalha/Falcon3-Jessi-v0.4-7B-Slerp",
+    "developer": "suayptalha",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 7.456
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7676
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5591
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3965
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3121
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4812
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.406
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/suayptalha/HomerCreativeAnvita-Mix-Qw7B/7bb9a15a-ece4-4fb7-b0ae-dc8cf69efb6b.json b/data/hfopenllm_v2/suayptalha/HomerCreativeAnvita-Mix-Qw7B/7bb9a15a-ece4-4fb7-b0ae-dc8cf69efb6b.json
deleted file mode 100644
index abf964a5c..000000000
--- a/data/hfopenllm_v2/suayptalha/HomerCreativeAnvita-Mix-Qw7B/7bb9a15a-ece4-4fb7-b0ae-dc8cf69efb6b.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/suayptalha_HomerCreativeAnvita-Mix-Qw7B/1762652580.543669",
-  "retrieved_timestamp": "1762652580.54367",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "suayptalha/HomerCreativeAnvita-Mix-Qw7B",
-    "developer": "suayptalha",
-    "inference_platform": "unknown",
-    "id": "suayptalha/HomerCreativeAnvita-Mix-Qw7B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.616
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7807816593305763
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5564653181490319
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3610271903323263
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3145973154362416
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.44159375
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4444813829787234
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/suayptalha/HomerCreativeAnvita-Mix-Qw7B/cb4e944c-66f6-49f2-b1e0-d90454e34315.json b/data/hfopenllm_v2/suayptalha/HomerCreativeAnvita-Mix-Qw7B/cb4e944c-66f6-49f2-b1e0-d90454e34315.json
new file mode 100644
index 000000000..52dfc2c70
--- /dev/null
+++ b/data/hfopenllm_v2/suayptalha/HomerCreativeAnvita-Mix-Qw7B/cb4e944c-66f6-49f2-b1e0-d90454e34315.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/suayptalha_HomerCreativeAnvita-Mix-Qw7B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "HomerCreativeAnvita-Mix-Qw7B",
+    "id": "suayptalha/HomerCreativeAnvita-Mix-Qw7B",
+    "developer": "suayptalha",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7808
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5565
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.361
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3146
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4416
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4445
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/suayptalha/Komodo-Llama-3.2-3B-v2-fp16/b2b6bc49-bda1-4a3e-a071-ec0a0bdc1313.json b/data/hfopenllm_v2/suayptalha/Komodo-Llama-3.2-3B-v2-fp16/b2b6bc49-bda1-4a3e-a071-ec0a0bdc1313.json
new file mode 100644
index 000000000..6760ae662
--- /dev/null
+++ b/data/hfopenllm_v2/suayptalha/Komodo-Llama-3.2-3B-v2-fp16/b2b6bc49-bda1-4a3e-a071-ec0a0bdc1313.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/suayptalha_Komodo-Llama-3.2-3B-v2-fp16/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Komodo-Llama-3.2-3B-v2-fp16",
+    "id": "suayptalha/Komodo-Llama-3.2-3B-v2-fp16",
+    "developer": "suayptalha",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 3.0
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6341
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4355
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1065
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2777
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3406
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2852
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/suayptalha/Lamarckvergence-14B/2c918f65-3565-41f6-a9c2-d042608bc592.json b/data/hfopenllm_v2/suayptalha/Lamarckvergence-14B/2c918f65-3565-41f6-a9c2-d042608bc592.json
deleted file mode 100644
index 335fe98ae..000000000
--- a/data/hfopenllm_v2/suayptalha/Lamarckvergence-14B/2c918f65-3565-41f6-a9c2-d042608bc592.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/suayptalha_Lamarckvergence-14B/1762652580.544092",
-  "retrieved_timestamp": "1762652580.544093",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "suayptalha/Lamarckvergence-14B",
-    "developer": "suayptalha",
-    "inference_platform": "unknown",
-    "id": "suayptalha/Lamarckvergence-14B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 14.766
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7655941790006073
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.651698573892736
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5400302114803626
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.36325503355704697
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.44215625000000003
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5283410904255319
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/suayptalha/Lamarckvergence-14B/933f3d40-8726-418f-be2f-1f9686e9ab02.json b/data/hfopenllm_v2/suayptalha/Lamarckvergence-14B/933f3d40-8726-418f-be2f-1f9686e9ab02.json
new file mode 100644
index 000000000..e8329fe1f
--- /dev/null
+++ b/data/hfopenllm_v2/suayptalha/Lamarckvergence-14B/933f3d40-8726-418f-be2f-1f9686e9ab02.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/suayptalha_Lamarckvergence-14B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Lamarckvergence-14B",
+    "id": "suayptalha/Lamarckvergence-14B",
+    "developer": "suayptalha",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.766
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7656
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6517
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.54
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3633
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4422
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5283
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/suayptalha/Lix-14B-v0.1/af1bf15c-7c5f-46fa-ba3a-821b521e86f4.json b/data/hfopenllm_v2/suayptalha/Lix-14B-v0.1/af1bf15c-7c5f-46fa-ba3a-821b521e86f4.json
new file mode 100644
index 000000000..14484ddbd
--- /dev/null
+++ b/data/hfopenllm_v2/suayptalha/Lix-14B-v0.1/af1bf15c-7c5f-46fa-ba3a-821b521e86f4.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/suayptalha_Lix-14B-v0.1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Lix-14B-v0.1",
+    "id": "suayptalha/Lix-14B-v0.1",
+    "developer": "suayptalha",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.766
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7813
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6608
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5295
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.37
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4338
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5314
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/suayptalha/Lix-14B-v0.1/f4866eb3-28b0-416b-92c7-764d38905686.json b/data/hfopenllm_v2/suayptalha/Lix-14B-v0.1/f4866eb3-28b0-416b-92c7-764d38905686.json
deleted file mode 100644
index d1e98c693..000000000
--- a/data/hfopenllm_v2/suayptalha/Lix-14B-v0.1/f4866eb3-28b0-416b-92c7-764d38905686.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/suayptalha_Lix-14B-v0.1/1762652580.5443048",
-  "retrieved_timestamp": "1762652580.5443058",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "suayptalha/Lix-14B-v0.1",
-    "developer": "suayptalha",
-    "inference_platform": "unknown",
-    "id": "suayptalha/Lix-14B-v0.1",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 14.766
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7813313120298586
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6607910825152539
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3699664429530201
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.43378125
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5314162234042553
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/suayptalha/Luminis-phi-4/43df4336-1eb8-4df7-8309-1199aafc07b1.json b/data/hfopenllm_v2/suayptalha/Luminis-phi-4/43df4336-1eb8-4df7-8309-1199aafc07b1.json
new file mode 100644
index 000000000..1b20a9640
--- /dev/null
+++ b/data/hfopenllm_v2/suayptalha/Luminis-phi-4/43df4336-1eb8-4df7-8309-1199aafc07b1.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/suayptalha_Luminis-phi-4/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Luminis-phi-4",
+    "id": "suayptalha/Luminis-phi-4",
+    "developer": "suayptalha",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 14.66
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.69
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.692
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4637
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3515
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4572
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5424
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/suayptalha/Maestro-10B/44ae222d-407c-4c8b-9b67-75440631f848.json b/data/hfopenllm_v2/suayptalha/Maestro-10B/44ae222d-407c-4c8b-9b67-75440631f848.json
new file mode 100644
index 000000000..352d09f29
--- /dev/null
+++ b/data/hfopenllm_v2/suayptalha/Maestro-10B/44ae222d-407c-4c8b-9b67-75440631f848.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/suayptalha_Maestro-10B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Maestro-10B",
+    "id": "suayptalha/Maestro-10B",
+    "developer": "suayptalha",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 10.306
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7768
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5746
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1911
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3331
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4397
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4218
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/suayptalha/Maestro-10B/b302d40a-64bd-4cdd-b5fb-3a9c1dbf1406.json b/data/hfopenllm_v2/suayptalha/Maestro-10B/b302d40a-64bd-4cdd-b5fb-3a9c1dbf1406.json
deleted file mode 100644
index bb92ea017..000000000
--- a/data/hfopenllm_v2/suayptalha/Maestro-10B/b302d40a-64bd-4cdd-b5fb-3a9c1dbf1406.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/suayptalha_Maestro-10B/1762652580.5447612",
-  "retrieved_timestamp": "1762652580.5447621",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "suayptalha/Maestro-10B",
-    "developer": "suayptalha",
-    "inference_platform": "unknown",
-    "id": "suayptalha/Maestro-10B",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 10.306
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7767601076255447
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5746090622656775
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.19108761329305135
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.33305369127516776
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.43972916666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42179188829787234
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/suayptalha/Rombos-2.5-T.E-8.1/a87db0fe-3727-4ff1-875f-9edd3109f3a2.json b/data/hfopenllm_v2/suayptalha/Rombos-2.5-T.E-8.1/a87db0fe-3727-4ff1-875f-9edd3109f3a2.json
new file mode 100644
index 000000000..e6ce27e84
--- /dev/null
+++ b/data/hfopenllm_v2/suayptalha/Rombos-2.5-T.E-8.1/a87db0fe-3727-4ff1-875f-9edd3109f3a2.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/suayptalha_Rombos-2.5-T.E-8.1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Rombos-2.5-T.E-8.1",
+    "id": "suayptalha/Rombos-2.5-T.E-8.1",
+    "developer": "suayptalha",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6925
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5515
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4924
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3112
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4166
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4446
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/suayptalha/Rombos-2.5-T.E-8.1/fa7a31f9-9c10-4f5f-a06f-e628363a726a.json b/data/hfopenllm_v2/suayptalha/Rombos-2.5-T.E-8.1/fa7a31f9-9c10-4f5f-a06f-e628363a726a.json
deleted file mode 100644
index 2412a9d56..000000000
--- a/data/hfopenllm_v2/suayptalha/Rombos-2.5-T.E-8.1/fa7a31f9-9c10-4f5f-a06f-e628363a726a.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/suayptalha_Rombos-2.5-T.E-8.1/1762652580.544959",
-  "retrieved_timestamp": "1762652580.544959",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "suayptalha/Rombos-2.5-T.E-8.1",
-    "developer": "suayptalha",
-    "inference_platform": "unknown",
-    "id": "suayptalha/Rombos-2.5-T.E-8.1",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.616
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6925047762159957
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5514641249478369
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.49244712990936557
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.311241610738255
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41663541666666665
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4445644946808511
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/sumink/Qmerft/0c73e33a-7f6f-4925-970b-db289069d5ca.json b/data/hfopenllm_v2/sumink/Qmerft/0c73e33a-7f6f-4925-970b-db289069d5ca.json
new file mode 100644
index 000000000..bcee9059c
--- /dev/null
+++ b/data/hfopenllm_v2/sumink/Qmerft/0c73e33a-7f6f-4925-970b-db289069d5ca.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
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+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
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+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qmerft",
+    "id": "sumink/Qmerft",
+    "developer": "sumink",
+    "inference_platform": "unknown",
+    "additional_details": {
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+    }
+  },
+  "evaluation_results": [
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
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+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2939
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+    },
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+      "evaluation_name": "GPQA",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
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+        "min_score": 0.0,
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
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+        "min_score": 0.0,
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/sumink/Qmerft/11243917-73a3-484e-ac8b-40065c65ea8c.json b/data/hfopenllm_v2/sumink/Qmerft/11243917-73a3-484e-ac8b-40065c65ea8c.json
deleted file mode 100644
index 3025c05a5..000000000
--- a/data/hfopenllm_v2/sumink/Qmerft/11243917-73a3-484e-ac8b-40065c65ea8c.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/sumink_Qmerft/1762652580.5451572",
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "sumink/Qmerft",
-    "developer": "sumink",
-    "inference_platform": "unknown",
-    "id": "sumink/Qmerft",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 1.777
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
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-      "score_details": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-}
diff --git a/data/hfopenllm_v2/sumink/Qwenftmodel/02bc7f5c-dc2f-4d8c-adcb-a89a34ff5549.json b/data/hfopenllm_v2/sumink/Qwenftmodel/02bc7f5c-dc2f-4d8c-adcb-a89a34ff5549.json
new file mode 100644
index 000000000..4e22ca5b7
--- /dev/null
+++ b/data/hfopenllm_v2/sumink/Qwenftmodel/02bc7f5c-dc2f-4d8c-adcb-a89a34ff5549.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/sumink_Qwenftmodel/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwenftmodel",
+    "id": "sumink/Qwenftmodel",
+    "developer": "sumink",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 1.544
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1729
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3823
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
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+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2567
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3617
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2339
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/sumink/Qwenmplus/590c031c-2aa6-48e6-9b3f-68b1a585dd39.json b/data/hfopenllm_v2/sumink/Qwenmplus/590c031c-2aa6-48e6-9b3f-68b1a585dd39.json
new file mode 100644
index 000000000..9502b1af4
--- /dev/null
+++ b/data/hfopenllm_v2/sumink/Qwenmplus/590c031c-2aa6-48e6-9b3f-68b1a585dd39.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/sumink_Qwenmplus/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwenmplus",
+    "id": "sumink/Qwenmplus",
+    "developer": "sumink",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 1.543
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.204
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3676
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0249
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2852
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3828
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1992
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/sumink/Qwensci/970c9fb8-c217-444b-a025-f4d9acdd679d.json b/data/hfopenllm_v2/sumink/Qwensci/970c9fb8-c217-444b-a025-f4d9acdd679d.json
new file mode 100644
index 000000000..0a21c2f79
--- /dev/null
+++ b/data/hfopenllm_v2/sumink/Qwensci/970c9fb8-c217-444b-a025-f4d9acdd679d.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/sumink_Qwensci/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwensci",
+    "id": "sumink/Qwensci",
+    "developer": "sumink",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 1.543
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.174
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3282
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0204
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2584
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3609
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.126
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/sumink/bbhqwen/07a08dd7-822b-49ac-859b-d2fc75b9c88d.json b/data/hfopenllm_v2/sumink/bbhqwen/07a08dd7-822b-49ac-859b-d2fc75b9c88d.json
new file mode 100644
index 000000000..c216d7b5c
--- /dev/null
+++ b/data/hfopenllm_v2/sumink/bbhqwen/07a08dd7-822b-49ac-859b-d2fc75b9c88d.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/sumink_bbhqwen/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
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new file mode 100644
index 000000000..1dc18132d
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diff --git a/data/hfopenllm_v2/sumink/bbhqwen3/2ae306b1-5409-4418-b5e4-50feff9dafe7.json b/data/hfopenllm_v2/sumink/bbhqwen3/2ae306b1-5409-4418-b5e4-50feff9dafe7.json
new file mode 100644
index 000000000..d43a52330
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diff --git a/data/hfopenllm_v2/sumink/bbhqwen4/44bf5d75-afb2-48fa-a0fa-96d283b0ae94.json b/data/hfopenllm_v2/sumink/bbhqwen4/44bf5d75-afb2-48fa-a0fa-96d283b0ae94.json
new file mode 100644
index 000000000..7b63e0384
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/sumink/bbhqwen5/e3860bb2-b2e4-4fdf-91cb-3343ad6440d7.json b/data/hfopenllm_v2/sumink/bbhqwen5/e3860bb2-b2e4-4fdf-91cb-3343ad6440d7.json
new file mode 100644
index 000000000..d06e6e52f
--- /dev/null
+++ b/data/hfopenllm_v2/sumink/bbhqwen5/e3860bb2-b2e4-4fdf-91cb-3343ad6440d7.json
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/sumink/bbhqwen6/6369fceb-148f-4491-9488-420182a9838f.json b/data/hfopenllm_v2/sumink/bbhqwen6/6369fceb-148f-4491-9488-420182a9838f.json
new file mode 100644
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new file mode 100644
index 000000000..05e8e4568
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new file mode 100644
index 000000000..697ef4b76
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diff --git a/data/hfopenllm_v2/sumink/llamaft/ff601b4f-24a1-4376-8c5e-5bda2ea88f65.json b/data/hfopenllm_v2/sumink/llamaft/ff601b4f-24a1-4376-8c5e-5bda2ea88f65.json
new file mode 100644
index 000000000..69e1ab691
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+++ b/data/hfopenllm_v2/sumink/llamaft/ff601b4f-24a1-4376-8c5e-5bda2ea88f65.json
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/sumink/llamamerge/8c043ba8-f7dd-4cc8-a3b1-7201042b8dc8.json b/data/hfopenllm_v2/sumink/llamamerge/8c043ba8-f7dd-4cc8-a3b1-7201042b8dc8.json
new file mode 100644
index 000000000..f90932f9e
--- /dev/null
+++ b/data/hfopenllm_v2/sumink/llamamerge/8c043ba8-f7dd-4cc8-a3b1-7201042b8dc8.json
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+      "score_details": {
+        "score": 0.259
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/sumink/llftfl7/ce27dff4-9ca7-47cb-bc18-b5dd167c72a2.json b/data/hfopenllm_v2/sumink/llftfl7/ce27dff4-9ca7-47cb-bc18-b5dd167c72a2.json
new file mode 100644
index 000000000..454849f8b
--- /dev/null
+++ b/data/hfopenllm_v2/sumink/llftfl7/ce27dff4-9ca7-47cb-bc18-b5dd167c72a2.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/sumink_llftfl7/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "llftfl7",
+    "id": "sumink/llftfl7",
+    "developer": "sumink",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 3.213
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1714
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3786
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0106
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.281
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3632
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1743
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/sumink/llftfl7/ed7c36f0-5b1a-45ef-be66-f9880cad099d.json b/data/hfopenllm_v2/sumink/llftfl7/ed7c36f0-5b1a-45ef-be66-f9880cad099d.json
deleted file mode 100644
index ddca913eb..000000000
--- a/data/hfopenllm_v2/sumink/llftfl7/ed7c36f0-5b1a-45ef-be66-f9880cad099d.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/sumink_llftfl7/1762652580.548197",
-  "retrieved_timestamp": "1762652580.548198",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "sumink/llftfl7",
-    "developer": "sumink",
-    "inference_platform": "unknown",
-    "id": "sumink/llftfl7",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 3.213
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.17143512546709397
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37864273336631166
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.010574018126888218
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.28104026845637586
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.36320833333333336
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.17428523936170212
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/sumink/llmer/8f2bad2c-5c31-433a-bbf0-f1a8f0a80c3a.json b/data/hfopenllm_v2/sumink/llmer/8f2bad2c-5c31-433a-bbf0-f1a8f0a80c3a.json
deleted file mode 100644
index 917dc6f2c..000000000
--- a/data/hfopenllm_v2/sumink/llmer/8f2bad2c-5c31-433a-bbf0-f1a8f0a80c3a.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/sumink_llmer/1762652580.548394",
-  "retrieved_timestamp": "1762652580.548395",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "sumink/llmer",
-    "developer": "sumink",
-    "inference_platform": "unknown",
-    "id": "sumink/llmer",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3191132860809319
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4884590875207178
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.0649546827794562
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2978187919463087
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4039166666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.35289228723404253
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/sumink/llmer/d69ecbfa-5036-48b8-8fed-f9162e2857f5.json b/data/hfopenllm_v2/sumink/llmer/d69ecbfa-5036-48b8-8fed-f9162e2857f5.json
new file mode 100644
index 000000000..2b5e1209f
--- /dev/null
+++ b/data/hfopenllm_v2/sumink/llmer/d69ecbfa-5036-48b8-8fed-f9162e2857f5.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/sumink_llmer/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "llmer",
+    "id": "sumink/llmer",
+    "developer": "sumink",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3191
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4885
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.065
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2978
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4039
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3529
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/sumink/qwft/6cdf831f-3ccd-4d78-a94f-269ace42fc1c.json b/data/hfopenllm_v2/sumink/qwft/6cdf831f-3ccd-4d78-a94f-269ace42fc1c.json
deleted file mode 100644
index a0395c147..000000000
--- a/data/hfopenllm_v2/sumink/qwft/6cdf831f-3ccd-4d78-a94f-269ace42fc1c.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/sumink_qwft/1762652580.548597",
-  "retrieved_timestamp": "1762652580.548597",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "sumink/qwft",
-    "developer": "sumink",
-    "inference_platform": "unknown",
-    "id": "sumink/qwft",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.616
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11965252197502627
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30021752093452153
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.0
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2525167785234899
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3580625
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11294880319148937
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/sumink/qwft/b5924329-c182-482a-bee8-22fcb348281d.json b/data/hfopenllm_v2/sumink/qwft/b5924329-c182-482a-bee8-22fcb348281d.json
new file mode 100644
index 000000000..734732a61
--- /dev/null
+++ b/data/hfopenllm_v2/sumink/qwft/b5924329-c182-482a-bee8-22fcb348281d.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/sumink_qwft/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "qwft",
+    "id": "sumink/qwft",
+    "developer": "sumink",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1197
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3002
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2525
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3581
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1129
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/sumink/qwmer/2cd4d3ec-2800-4223-ab50-6f9f4a1e1a57.json b/data/hfopenllm_v2/sumink/qwmer/2cd4d3ec-2800-4223-ab50-6f9f4a1e1a57.json
deleted file mode 100644
index 8f8d099ca..000000000
--- a/data/hfopenllm_v2/sumink/qwmer/2cd4d3ec-2800-4223-ab50-6f9f4a1e1a57.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/sumink_qwmer/1762652580.54879",
-  "retrieved_timestamp": "1762652580.548791",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "sumink/qwmer",
-    "developer": "sumink",
-    "inference_platform": "unknown",
-    "id": "sumink/qwmer",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.616
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.22124407682726277
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4298800979582788
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.0007552870090634441
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.28691275167785235
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4031770833333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.22149268617021275
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/sumink/qwmer/a6a6b6f2-ac28-4c4a-806e-8abe8c7f9190.json b/data/hfopenllm_v2/sumink/qwmer/a6a6b6f2-ac28-4c4a-806e-8abe8c7f9190.json
new file mode 100644
index 000000000..88f04b8bd
--- /dev/null
+++ b/data/hfopenllm_v2/sumink/qwmer/a6a6b6f2-ac28-4c4a-806e-8abe8c7f9190.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/sumink_qwmer/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "qwmer",
+    "id": "sumink/qwmer",
+    "developer": "sumink",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2212
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4299
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0008
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2869
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4032
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2215
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/sumink/solarmer3/59ebeb48-88c4-4c63-92bb-888752ea9dad.json b/data/hfopenllm_v2/sumink/solarmer3/59ebeb48-88c4-4c63-92bb-888752ea9dad.json
deleted file mode 100644
index aa0887316..000000000
--- a/data/hfopenllm_v2/sumink/solarmer3/59ebeb48-88c4-4c63-92bb-888752ea9dad.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/sumink_solarmer3/1762652580.5489879",
-  "retrieved_timestamp": "1762652580.5489888",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "sumink/solarmer3",
-    "developer": "sumink",
-    "inference_platform": "unknown",
-    "id": "sumink/solarmer3",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 10.732
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3741428299135183
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5265990319952963
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.0581570996978852
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2911073825503356
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.44013541666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.332280585106383
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/sumink/solarmer3/b904301c-d0c0-41a4-b92e-92b2d7c9c13a.json b/data/hfopenllm_v2/sumink/solarmer3/b904301c-d0c0-41a4-b92e-92b2d7c9c13a.json
new file mode 100644
index 000000000..ac7e81ef1
--- /dev/null
+++ b/data/hfopenllm_v2/sumink/solarmer3/b904301c-d0c0-41a4-b92e-92b2d7c9c13a.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/sumink_solarmer3/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "solarmer3",
+    "id": "sumink/solarmer3",
+    "developer": "sumink",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 10.732
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3741
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5266
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0582
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2911
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4401
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3323
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/sumink/somer/282fa475-0ac8-4230-8020-9dbb7fda03da.json b/data/hfopenllm_v2/sumink/somer/282fa475-0ac8-4230-8020-9dbb7fda03da.json
deleted file mode 100644
index 332c3be3d..000000000
--- a/data/hfopenllm_v2/sumink/somer/282fa475-0ac8-4230-8020-9dbb7fda03da.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/sumink_somer/1762652580.549191",
-  "retrieved_timestamp": "1762652580.549192",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "sumink/somer",
-    "developer": "sumink",
-    "inference_platform": "unknown",
-    "id": "sumink/somer",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 10.732
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.29902990731259727
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.519370328606347
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.04154078549848943
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2986577181208054
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.465
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3447473404255319
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/sumink/somer/b5de0218-91dc-487a-be90-70f8bcb64803.json b/data/hfopenllm_v2/sumink/somer/b5de0218-91dc-487a-be90-70f8bcb64803.json
new file mode 100644
index 000000000..3dadaebd8
--- /dev/null
+++ b/data/hfopenllm_v2/sumink/somer/b5de0218-91dc-487a-be90-70f8bcb64803.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/sumink_somer/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "somer",
+    "id": "sumink/somer",
+    "developer": "sumink",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 10.732
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.299
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5194
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0415
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2987
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.465
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3447
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/sumink/somer2/3870f65b-3429-45c2-846f-6af30155a78b.json b/data/hfopenllm_v2/sumink/somer2/3870f65b-3429-45c2-846f-6af30155a78b.json
new file mode 100644
index 000000000..f13d9325b
--- /dev/null
+++ b/data/hfopenllm_v2/sumink/somer2/3870f65b-3429-45c2-846f-6af30155a78b.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/sumink_somer2/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "somer2",
+    "id": "sumink/somer2",
+    "developer": "sumink",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 10.732
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3132
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5167
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0468
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3037
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4663
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3433
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/sumink/somer2/fee6fbc3-c115-4668-8b5b-35b307c15fe8.json b/data/hfopenllm_v2/sumink/somer2/fee6fbc3-c115-4668-8b5b-35b307c15fe8.json
deleted file mode 100644
index 59a2b9d96..000000000
--- a/data/hfopenllm_v2/sumink/somer2/fee6fbc3-c115-4668-8b5b-35b307c15fe8.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/sumink_somer2/1762652580.549396",
-  "retrieved_timestamp": "1762652580.549397",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "sumink/somer2",
-    "developer": "sumink",
-    "inference_platform": "unknown",
-    "id": "sumink/somer2",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 10.732
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3132433055404106
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5166793474130525
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.04682779456193353
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3036912751677852
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.46630208333333334
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.34325132978723405
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/sumink/somerft/cb6879a2-41b6-40b6-bb20-723aa0b213e1.json b/data/hfopenllm_v2/sumink/somerft/cb6879a2-41b6-40b6-bb20-723aa0b213e1.json
deleted file mode 100644
index f1d5456d6..000000000
--- a/data/hfopenllm_v2/sumink/somerft/cb6879a2-41b6-40b6-bb20-723aa0b213e1.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/sumink_somerft/1762652580.5496058",
-  "retrieved_timestamp": "1762652580.5496068",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "sumink/somerft",
-    "developer": "sumink",
-    "inference_platform": "unknown",
-    "id": "sumink/somerft",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 1.543
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.14305819669587805
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3093455213252133
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.014350453172205438
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2483221476510067
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.40447916666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11170212765957446
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/sumink/somerft/d6c33a51-be09-4cb5-9942-4348668d3e5e.json b/data/hfopenllm_v2/sumink/somerft/d6c33a51-be09-4cb5-9942-4348668d3e5e.json
new file mode 100644
index 000000000..fd584a2ba
--- /dev/null
+++ b/data/hfopenllm_v2/sumink/somerft/d6c33a51-be09-4cb5-9942-4348668d3e5e.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/sumink_somerft/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "somerft",
+    "id": "sumink/somerft",
+    "developer": "sumink",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 1.543
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1431
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3093
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0144
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2483
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4045
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1117
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/sunbaby/BrainCog-8B-0.1-Instruct/1ccd36ee-445a-4861-8835-d602973148fc.json b/data/hfopenllm_v2/sunbaby/BrainCog-8B-0.1-Instruct/1ccd36ee-445a-4861-8835-d602973148fc.json
new file mode 100644
index 000000000..af3751a29
--- /dev/null
+++ b/data/hfopenllm_v2/sunbaby/BrainCog-8B-0.1-Instruct/1ccd36ee-445a-4861-8835-d602973148fc.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/sunbaby_BrainCog-8B-0.1-Instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "BrainCog-8B-0.1-Instruct",
+    "id": "sunbaby/BrainCog-8B-0.1-Instruct",
+    "developer": "sunbaby",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4253
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4618
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0967
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3012
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3656
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2858
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/sunbaby/BrainCog-8B-0.1-Instruct/96412e92-8a74-429b-8014-30a526521356.json b/data/hfopenllm_v2/sunbaby/BrainCog-8B-0.1-Instruct/96412e92-8a74-429b-8014-30a526521356.json
deleted file mode 100644
index 2f3e46ef7..000000000
--- a/data/hfopenllm_v2/sunbaby/BrainCog-8B-0.1-Instruct/96412e92-8a74-429b-8014-30a526521356.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/sunbaby_BrainCog-8B-0.1-Instruct/1762652580.549814",
-  "retrieved_timestamp": "1762652580.549815",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "sunbaby/BrainCog-8B-0.1-Instruct",
-    "developer": "sunbaby",
-    "inference_platform": "unknown",
-    "id": "sunbaby/BrainCog-8B-0.1-Instruct",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4253004250943053
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.46182179983247446
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.09667673716012085
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3011744966442953
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.36559375
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.28582114361702127
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/swap-uniba/LLaMAntino-3-ANITA-8B-Inst-DPO-ITA/4c7ef4ee-3a7e-4f15-8a4a-c5853b1c6a47.json b/data/hfopenllm_v2/swap-uniba/LLaMAntino-3-ANITA-8B-Inst-DPO-ITA/4c7ef4ee-3a7e-4f15-8a4a-c5853b1c6a47.json
new file mode 100644
index 000000000..8d0457f9c
--- /dev/null
+++ b/data/hfopenllm_v2/swap-uniba/LLaMAntino-3-ANITA-8B-Inst-DPO-ITA/4c7ef4ee-3a7e-4f15-8a4a-c5853b1c6a47.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/swap-uniba_LLaMAntino-3-ANITA-8B-Inst-DPO-ITA/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "LLaMAntino-3-ANITA-8B-Inst-DPO-ITA",
+    "id": "swap-uniba/LLaMAntino-3-ANITA-8B-Inst-DPO-ITA",
+    "developer": "swap-uniba",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4815
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4936
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0483
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2987
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4387
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3723
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/swap-uniba/LLaMAntino-3-ANITA-8B-Inst-DPO-ITA/f2475574-fc9d-4cd1-94fb-ddd8bb89fa95.json b/data/hfopenllm_v2/swap-uniba/LLaMAntino-3-ANITA-8B-Inst-DPO-ITA/f2475574-fc9d-4cd1-94fb-ddd8bb89fa95.json
deleted file mode 100644
index 9b20634d8..000000000
--- a/data/hfopenllm_v2/swap-uniba/LLaMAntino-3-ANITA-8B-Inst-DPO-ITA/f2475574-fc9d-4cd1-94fb-ddd8bb89fa95.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/swap-uniba_LLaMAntino-3-ANITA-8B-Inst-DPO-ITA/1762652580.550269",
-  "retrieved_timestamp": "1762652580.5502698",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "swap-uniba/LLaMAntino-3-ANITA-8B-Inst-DPO-ITA",
-    "developer": "swap-uniba",
-    "inference_platform": "unknown",
-    "id": "swap-uniba/LLaMAntino-3-ANITA-8B-Inst-DPO-ITA",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4815046299374548
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4935698792285044
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.04833836858006042
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2986577181208054
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.43873958333333335
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3723404255319149
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/synergetic/FrankenQwen2.5-14B/6a69202c-1c68-43e4-bd45-bbc2ff2db743.json b/data/hfopenllm_v2/synergetic/FrankenQwen2.5-14B/6a69202c-1c68-43e4-bd45-bbc2ff2db743.json
new file mode 100644
index 000000000..5de286878
--- /dev/null
+++ b/data/hfopenllm_v2/synergetic/FrankenQwen2.5-14B/6a69202c-1c68-43e4-bd45-bbc2ff2db743.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/synergetic_FrankenQwen2.5-14B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "FrankenQwen2.5-14B",
+    "id": "synergetic/FrankenQwen2.5-14B",
+    "developer": "synergetic",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 16.972
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1869
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6048
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2701
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3843
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4382
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/talha2001/Beast-Soul-new/01f536ff-7613-4b09-b793-1f51bf32f705.json b/data/hfopenllm_v2/talha2001/Beast-Soul-new/01f536ff-7613-4b09-b793-1f51bf32f705.json
deleted file mode 100644
index 640bd9e98..000000000
--- a/data/hfopenllm_v2/talha2001/Beast-Soul-new/01f536ff-7613-4b09-b793-1f51bf32f705.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/talha2001_Beast-Soul-new/1762652580.5509062",
-  "retrieved_timestamp": "1762652580.5509079",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "talha2001/Beast-Soul-new",
-    "developer": "talha2001",
-    "inference_platform": "unknown",
-    "id": "talha2001/Beast-Soul-new",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
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-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
-        "score": 0.5227143628884523
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.07401812688821752
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-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.28187919463087246
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4459270833333333
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3101728723404255
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/talha2001/Beast-Soul-new/a053d6a3-05d4-4d0b-a9b8-7865cf7ac612.json b/data/hfopenllm_v2/talha2001/Beast-Soul-new/a053d6a3-05d4-4d0b-a9b8-7865cf7ac612.json
new file mode 100644
index 000000000..3ca4e52f3
--- /dev/null
+++ b/data/hfopenllm_v2/talha2001/Beast-Soul-new/a053d6a3-05d4-4d0b-a9b8-7865cf7ac612.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/talha2001_Beast-Soul-new/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Beast-Soul-new",
+    "id": "talha2001/Beast-Soul-new",
+    "developer": "talha2001",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4854
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5227
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.074
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2819
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4459
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3102
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/tangledgroup/tangled-llama-pints-1.5b-v0.1-instruct/727047f6-974d-4980-a8cd-672728885485.json b/data/hfopenllm_v2/tangledgroup/tangled-llama-pints-1.5b-v0.1-instruct/727047f6-974d-4980-a8cd-672728885485.json
deleted file mode 100644
index 48915a2a7..000000000
--- a/data/hfopenllm_v2/tangledgroup/tangled-llama-pints-1.5b-v0.1-instruct/727047f6-974d-4980-a8cd-672728885485.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/tangledgroup_tangled-llama-pints-1.5b-v0.1-instruct/1762652580.5513222",
-  "retrieved_timestamp": "1762652580.5513222",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "tangledgroup/tangled-llama-pints-1.5b-v0.1-instruct",
-    "developer": "tangledgroup",
-    "inference_platform": "unknown",
-    "id": "tangledgroup/tangled-llama-pints-1.5b-v0.1-instruct",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 1.5
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.15090182936829835
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.31434444692284963
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.012084592145015106
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.23993288590604026
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37613541666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11087101063829788
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/tangledgroup/tangled-llama-pints-1.5b-v0.1-instruct/f76d3d30-4fce-48a9-a26b-7d714fff1d29.json b/data/hfopenllm_v2/tangledgroup/tangled-llama-pints-1.5b-v0.1-instruct/f76d3d30-4fce-48a9-a26b-7d714fff1d29.json
new file mode 100644
index 000000000..2cab635d2
--- /dev/null
+++ b/data/hfopenllm_v2/tangledgroup/tangled-llama-pints-1.5b-v0.1-instruct/f76d3d30-4fce-48a9-a26b-7d714fff1d29.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/tangledgroup_tangled-llama-pints-1.5b-v0.1-instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "tangled-llama-pints-1.5b-v0.1-instruct",
+    "id": "tangledgroup/tangled-llama-pints-1.5b-v0.1-instruct",
+    "developer": "tangledgroup",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 1.5
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1509
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3143
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0121
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2399
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3761
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1109
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/tangledgroup/tangled-llama-pints-1.5b-v0.2-instruct/3964e579-bb1f-46be-8740-ba8097d8f7ef.json b/data/hfopenllm_v2/tangledgroup/tangled-llama-pints-1.5b-v0.2-instruct/3964e579-bb1f-46be-8740-ba8097d8f7ef.json
deleted file mode 100644
index fd4008840..000000000
--- a/data/hfopenllm_v2/tangledgroup/tangled-llama-pints-1.5b-v0.2-instruct/3964e579-bb1f-46be-8740-ba8097d8f7ef.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/tangledgroup_tangled-llama-pints-1.5b-v0.2-instruct/1762652580.551594",
-  "retrieved_timestamp": "1762652580.551595",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "tangledgroup/tangled-llama-pints-1.5b-v0.2-instruct",
-    "developer": "tangledgroup",
-    "inference_platform": "unknown",
-    "id": "tangledgroup/tangled-llama-pints-1.5b-v0.2-instruct",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 1.5
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1724092075692496
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3158349391752727
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.01283987915407855
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.24161073825503357
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3642916666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11170212765957446
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/tangledgroup/tangled-llama-pints-1.5b-v0.2-instruct/eb38a092-1b56-4348-8188-baa2243f7046.json b/data/hfopenllm_v2/tangledgroup/tangled-llama-pints-1.5b-v0.2-instruct/eb38a092-1b56-4348-8188-baa2243f7046.json
new file mode 100644
index 000000000..306584ab5
--- /dev/null
+++ b/data/hfopenllm_v2/tangledgroup/tangled-llama-pints-1.5b-v0.2-instruct/eb38a092-1b56-4348-8188-baa2243f7046.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/tangledgroup_tangled-llama-pints-1.5b-v0.2-instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "tangled-llama-pints-1.5b-v0.2-instruct",
+    "id": "tangledgroup/tangled-llama-pints-1.5b-v0.2-instruct",
+    "developer": "tangledgroup",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 1.5
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1724
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
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+        "min_score": 0.0,
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/tanliboy/lambda-gemma-2-9b-dpo/1c4cfb94-fc66-4fe2-9879-78683abe654f.json b/data/hfopenllm_v2/tanliboy/lambda-gemma-2-9b-dpo/1c4cfb94-fc66-4fe2-9879-78683abe654f.json
new file mode 100644
index 000000000..c4123e916
--- /dev/null
+++ b/data/hfopenllm_v2/tanliboy/lambda-gemma-2-9b-dpo/1c4cfb94-fc66-4fe2-9879-78683abe654f.json
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/tanliboy/lambda-gemma-2-9b-dpo/2deef730-c37b-46ca-82b7-de38ae724fd4.json b/data/hfopenllm_v2/tanliboy/lambda-gemma-2-9b-dpo/2deef730-c37b-46ca-82b7-de38ae724fd4.json
new file mode 100644
index 000000000..a0e743c57
--- /dev/null
+++ b/data/hfopenllm_v2/tanliboy/lambda-gemma-2-9b-dpo/2deef730-c37b-46ca-82b7-de38ae724fd4.json
@@ -0,0 +1,132 @@
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/tanliboy/lambda-gemma-2-9b-dpo/6dd14f37-6493-4f9d-a5a8-6ad62aa4ca04.json b/data/hfopenllm_v2/tanliboy/lambda-gemma-2-9b-dpo/6dd14f37-6493-4f9d-a5a8-6ad62aa4ca04.json
deleted file mode 100644
index 304253761..000000000
--- a/data/hfopenllm_v2/tanliboy/lambda-gemma-2-9b-dpo/6dd14f37-6493-4f9d-a5a8-6ad62aa4ca04.json
+++ /dev/null
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diff --git a/data/hfopenllm_v2/tanliboy/lambda-gemma-2-9b-dpo/fe623f86-5397-4818-aa3f-75c2f6632bec.json b/data/hfopenllm_v2/tanliboy/lambda-gemma-2-9b-dpo/fe623f86-5397-4818-aa3f-75c2f6632bec.json
deleted file mode 100644
index 0ab90ab86..000000000
--- a/data/hfopenllm_v2/tanliboy/lambda-gemma-2-9b-dpo/fe623f86-5397-4818-aa3f-75c2f6632bec.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/tanliboy/lambda-qwen2.5-14b-dpo-test/04686df9-9ef7-4df9-bb1e-a4c113a6e32e.json b/data/hfopenllm_v2/tanliboy/lambda-qwen2.5-14b-dpo-test/04686df9-9ef7-4df9-bb1e-a4c113a6e32e.json
deleted file mode 100644
index bb0992436..000000000
--- a/data/hfopenllm_v2/tanliboy/lambda-qwen2.5-14b-dpo-test/04686df9-9ef7-4df9-bb1e-a4c113a6e32e.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/tanliboy/lambda-qwen2.5-14b-dpo-test/13a92beb-a8a4-4853-b2f5-1b09d3e2a64a.json b/data/hfopenllm_v2/tanliboy/lambda-qwen2.5-14b-dpo-test/13a92beb-a8a4-4853-b2f5-1b09d3e2a64a.json
new file mode 100644
index 000000000..0ef9f7333
--- /dev/null
+++ b/data/hfopenllm_v2/tanliboy/lambda-qwen2.5-14b-dpo-test/13a92beb-a8a4-4853-b2f5-1b09d3e2a64a.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/tanliboy_lambda-qwen2.5-14b-dpo-test/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "lambda-qwen2.5-14b-dpo-test",
+    "id": "tanliboy/lambda-qwen2.5-14b-dpo-test",
+    "developer": "tanliboy",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.77
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.8231
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6394
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.426
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+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4848
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/tanliboy/lambda-qwen2.5-32b-dpo-test/36cf5b59-5369-4baf-80c1-3a47678eb5cb.json b/data/hfopenllm_v2/tanliboy/lambda-qwen2.5-32b-dpo-test/36cf5b59-5369-4baf-80c1-3a47678eb5cb.json
new file mode 100644
index 000000000..ca6c94a3a
--- /dev/null
+++ b/data/hfopenllm_v2/tanliboy/lambda-qwen2.5-32b-dpo-test/36cf5b59-5369-4baf-80c1-3a47678eb5cb.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/tanliboy_lambda-qwen2.5-32b-dpo-test/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "lambda-qwen2.5-32b-dpo-test",
+    "id": "tanliboy/lambda-qwen2.5-32b-dpo-test",
+    "developer": "tanliboy",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 32.764
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.8084
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6764
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6103
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3565
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4274
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5657
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/tanliboy/lambda-qwen2.5-32b-dpo-test/87569202-e422-423b-a2a6-96f94dbaf99c.json b/data/hfopenllm_v2/tanliboy/lambda-qwen2.5-32b-dpo-test/87569202-e422-423b-a2a6-96f94dbaf99c.json
deleted file mode 100644
index 4336fe150..000000000
--- a/data/hfopenllm_v2/tanliboy/lambda-qwen2.5-32b-dpo-test/87569202-e422-423b-a2a6-96f94dbaf99c.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/tanliboy_lambda-qwen2.5-32b-dpo-test/1762652580.552684",
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-  "source_data": [
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-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "tanliboy/lambda-qwen2.5-32b-dpo-test",
-    "developer": "tanliboy",
-    "inference_platform": "unknown",
-    "id": "tanliboy/lambda-qwen2.5-32b-dpo-test",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 32.764
-    }
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-  "evaluation_results": [
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-    },
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-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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diff --git a/data/hfopenllm_v2/tannedbum/Ellaria-9B/ca946b2a-4345-42b9-aefd-0907b91759d7.json b/data/hfopenllm_v2/tannedbum/Ellaria-9B/ca946b2a-4345-42b9-aefd-0907b91759d7.json
deleted file mode 100644
index 9350ebb06..000000000
--- a/data/hfopenllm_v2/tannedbum/Ellaria-9B/ca946b2a-4345-42b9-aefd-0907b91759d7.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/tannedbum_Ellaria-9B/1762652580.5529752",
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-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
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-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "tannedbum/Ellaria-9B",
-    "developer": "tannedbum",
-    "inference_platform": "unknown",
-    "id": "tannedbum/Ellaria-9B",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Gemma2ForCausalLM",
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-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
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-        "lower_is_better": false,
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
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-        "max_score": 1
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-        "score": 0.33305369127516776
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42054521276595747
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/tannedbum/Ellaria-9B/fced3ef1-fb69-47fe-bf68-3efe72db3142.json b/data/hfopenllm_v2/tannedbum/Ellaria-9B/fced3ef1-fb69-47fe-bf68-3efe72db3142.json
new file mode 100644
index 000000000..769518cca
--- /dev/null
+++ b/data/hfopenllm_v2/tannedbum/Ellaria-9B/fced3ef1-fb69-47fe-bf68-3efe72db3142.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/tannedbum_Ellaria-9B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Ellaria-9B",
+    "id": "tannedbum/Ellaria-9B",
+    "developer": "tannedbum",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Gemma2ForCausalLM",
+      "params_billions": 10.159
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+      "score_details": {
+        "score": 0.7826
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5942
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+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2077
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
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+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3331
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4151
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4205
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/tannedbum/L3-Nymeria-Maid-8B/3b1941a4-b8ca-49f4-9c09-18beb1b470e4.json b/data/hfopenllm_v2/tannedbum/L3-Nymeria-Maid-8B/3b1941a4-b8ca-49f4-9c09-18beb1b470e4.json
deleted file mode 100644
index af1c51ff6..000000000
--- a/data/hfopenllm_v2/tannedbum/L3-Nymeria-Maid-8B/3b1941a4-b8ca-49f4-9c09-18beb1b470e4.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/tannedbum_L3-Nymeria-Maid-8B/1762652580.553287",
-  "retrieved_timestamp": "1762652580.553288",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "tannedbum/L3-Nymeria-Maid-8B",
-    "developer": "tannedbum",
-    "inference_platform": "unknown",
-    "id": "tannedbum/L3-Nymeria-Maid-8B",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7250029920610646
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5146055785516804
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.09365558912386707
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2961409395973154
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37505208333333334
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37466755319148937
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/tannedbum/L3-Nymeria-Maid-8B/7a83d75a-332e-476a-b0f7-986b2ec9cc5d.json b/data/hfopenllm_v2/tannedbum/L3-Nymeria-Maid-8B/7a83d75a-332e-476a-b0f7-986b2ec9cc5d.json
new file mode 100644
index 000000000..f95541ce4
--- /dev/null
+++ b/data/hfopenllm_v2/tannedbum/L3-Nymeria-Maid-8B/7a83d75a-332e-476a-b0f7-986b2ec9cc5d.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/tannedbum_L3-Nymeria-Maid-8B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "L3-Nymeria-Maid-8B",
+    "id": "tannedbum/L3-Nymeria-Maid-8B",
+    "developer": "tannedbum",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.725
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5146
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0937
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2961
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3751
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3747
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/tannedbum/L3-Nymeria-v2-8B/61d5c969-6aff-49b7-8fa3-bcf0ff0b661d.json b/data/hfopenllm_v2/tannedbum/L3-Nymeria-v2-8B/61d5c969-6aff-49b7-8fa3-bcf0ff0b661d.json
deleted file mode 100644
index 8620228c0..000000000
--- a/data/hfopenllm_v2/tannedbum/L3-Nymeria-v2-8B/61d5c969-6aff-49b7-8fa3-bcf0ff0b661d.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/tannedbum_L3-Nymeria-v2-8B/1762652580.553518",
-  "retrieved_timestamp": "1762652580.553519",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "tannedbum/L3-Nymeria-v2-8B",
-    "developer": "tannedbum",
-    "inference_platform": "unknown",
-    "id": "tannedbum/L3-Nymeria-v2-8B",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7168346653545925
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5224198261531375
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.09214501510574018
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2902684563758389
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.369875
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37533244680851063
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/tannedbum/L3-Nymeria-v2-8B/6f413d72-cd9f-435c-b13e-9cec14edeb5c.json b/data/hfopenllm_v2/tannedbum/L3-Nymeria-v2-8B/6f413d72-cd9f-435c-b13e-9cec14edeb5c.json
new file mode 100644
index 000000000..c7b09040b
--- /dev/null
+++ b/data/hfopenllm_v2/tannedbum/L3-Nymeria-v2-8B/6f413d72-cd9f-435c-b13e-9cec14edeb5c.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/tannedbum_L3-Nymeria-v2-8B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "L3-Nymeria-v2-8B",
+    "id": "tannedbum/L3-Nymeria-v2-8B",
+    "developer": "tannedbum",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7168
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5224
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0921
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2903
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3699
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3753
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/tannedbum/L3-Rhaenys-8B/a7822bbf-bc23-437d-8e5b-32fb06d3a9ec.json b/data/hfopenllm_v2/tannedbum/L3-Rhaenys-8B/a7822bbf-bc23-437d-8e5b-32fb06d3a9ec.json
new file mode 100644
index 000000000..c71fb151f
--- /dev/null
+++ b/data/hfopenllm_v2/tannedbum/L3-Rhaenys-8B/a7822bbf-bc23-437d-8e5b-32fb06d3a9ec.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/tannedbum_L3-Rhaenys-8B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "L3-Rhaenys-8B",
+    "id": "tannedbum/L3-Rhaenys-8B",
+    "developer": "tannedbum",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7363
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5299
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0876
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2978
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3725
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3799
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/tannedbum/L3-Rhaenys-8B/c44ac25e-9139-477d-abcd-442b3a0dc2cf.json b/data/hfopenllm_v2/tannedbum/L3-Rhaenys-8B/c44ac25e-9139-477d-abcd-442b3a0dc2cf.json
deleted file mode 100644
index 87d0ce651..000000000
--- a/data/hfopenllm_v2/tannedbum/L3-Rhaenys-8B/c44ac25e-9139-477d-abcd-442b3a0dc2cf.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/tannedbum_L3-Rhaenys-8B/1762652580.553731",
-  "retrieved_timestamp": "1762652580.5537322",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "tannedbum/L3-Rhaenys-8B",
-    "developer": "tannedbum",
-    "inference_platform": "unknown",
-    "id": "tannedbum/L3-Rhaenys-8B",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7362686560548235
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5299209893116719
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.08761329305135952
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2978187919463087
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3724791666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3799035904255319
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/teknium/CollectiveCognition-v1.1-Mistral-7B/0b19508c-4996-4fb7-b0e0-9fa952854fa3.json b/data/hfopenllm_v2/teknium/CollectiveCognition-v1.1-Mistral-7B/0b19508c-4996-4fb7-b0e0-9fa952854fa3.json
new file mode 100644
index 000000000..df3839754
--- /dev/null
+++ b/data/hfopenllm_v2/teknium/CollectiveCognition-v1.1-Mistral-7B/0b19508c-4996-4fb7-b0e0-9fa952854fa3.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/teknium_CollectiveCognition-v1.1-Mistral-7B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "CollectiveCognition-v1.1-Mistral-7B",
+    "id": "teknium/CollectiveCognition-v1.1-Mistral-7B",
+    "developer": "teknium",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.0
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.279
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4493
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.031
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2869
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3869
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2837
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/teknium/OpenHermes-13B/447c22c1-8929-420f-b59b-01ab32a22281.json b/data/hfopenllm_v2/teknium/OpenHermes-13B/447c22c1-8929-420f-b59b-01ab32a22281.json
new file mode 100644
index 000000000..217a4b6f0
--- /dev/null
+++ b/data/hfopenllm_v2/teknium/OpenHermes-13B/447c22c1-8929-420f-b59b-01ab32a22281.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/teknium_OpenHermes-13B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "OpenHermes-13B",
+    "id": "teknium/OpenHermes-13B",
+    "developer": "teknium",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 13.0
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2668
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4206
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0121
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2727
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4043
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2389
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/teknium/OpenHermes-13B/55d876b7-159e-4c76-848b-1480b4c2f4a2.json b/data/hfopenllm_v2/teknium/OpenHermes-13B/55d876b7-159e-4c76-848b-1480b4c2f4a2.json
deleted file mode 100644
index 963669f6e..000000000
--- a/data/hfopenllm_v2/teknium/OpenHermes-13B/55d876b7-159e-4c76-848b-1480b4c2f4a2.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/teknium_OpenHermes-13B/1762652580.5542011",
-  "retrieved_timestamp": "1762652580.554202",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "teknium/OpenHermes-13B",
-    "developer": "teknium",
-    "inference_platform": "unknown",
-    "id": "teknium/OpenHermes-13B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 13.0
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2668065178171696
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42064384521911524
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.012084592145015106
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2726510067114094
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4042604166666666
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.23894614361702127
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/teknium/OpenHermes-2-Mistral-7B/ab3dbe43-658e-4c8a-a399-b3d070d467ba.json b/data/hfopenllm_v2/teknium/OpenHermes-2-Mistral-7B/ab3dbe43-658e-4c8a-a399-b3d070d467ba.json
new file mode 100644
index 000000000..75e18465b
--- /dev/null
+++ b/data/hfopenllm_v2/teknium/OpenHermes-2-Mistral-7B/ab3dbe43-658e-4c8a-a399-b3d070d467ba.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/teknium_OpenHermes-2-Mistral-7B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "OpenHermes-2-Mistral-7B",
+    "id": "teknium/OpenHermes-2-Mistral-7B",
+    "developer": "teknium",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.0
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5286
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4948
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0453
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2836
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.452
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2931
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/teknium/OpenHermes-2.5-Mistral-7B/ee5c87a4-aa06-4728-a9bf-2fc35284b987.json b/data/hfopenllm_v2/teknium/OpenHermes-2.5-Mistral-7B/ee5c87a4-aa06-4728-a9bf-2fc35284b987.json
new file mode 100644
index 000000000..1bb9bc4d1
--- /dev/null
+++ b/data/hfopenllm_v2/teknium/OpenHermes-2.5-Mistral-7B/ee5c87a4-aa06-4728-a9bf-2fc35284b987.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/teknium_OpenHermes-2.5-Mistral-7B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "OpenHermes-2.5-Mistral-7B",
+    "id": "teknium/OpenHermes-2.5-Mistral-7B",
+    "developer": "teknium",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5571
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.487
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0506
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2836
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4242
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3054
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/teknium/OpenHermes-7B/089f10dc-8be6-4595-a0b3-7d5bb4fc13fa.json b/data/hfopenllm_v2/teknium/OpenHermes-7B/089f10dc-8be6-4595-a0b3-7d5bb4fc13fa.json
deleted file mode 100644
index 272b41a90..000000000
--- a/data/hfopenllm_v2/teknium/OpenHermes-7B/089f10dc-8be6-4595-a0b3-7d5bb4fc13fa.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/teknium_OpenHermes-7B/1762652580.5548952",
-  "retrieved_timestamp": "1762652580.5548952",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "teknium/OpenHermes-7B",
-    "developer": "teknium",
-    "inference_platform": "unknown",
-    "id": "teknium/OpenHermes-7B",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 7.0
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1812513021006485
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.362033648602934
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.015861027190332326
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.26929530201342283
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4323854166666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.19331781914893617
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/teknium/OpenHermes-7B/6a1a58f6-e399-4ac3-a516-f02a37b6ff68.json b/data/hfopenllm_v2/teknium/OpenHermes-7B/6a1a58f6-e399-4ac3-a516-f02a37b6ff68.json
new file mode 100644
index 000000000..58a599dbe
--- /dev/null
+++ b/data/hfopenllm_v2/teknium/OpenHermes-7B/6a1a58f6-e399-4ac3-a516-f02a37b6ff68.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/teknium_OpenHermes-7B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "OpenHermes-7B",
+    "id": "teknium/OpenHermes-7B",
+    "developer": "teknium",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 7.0
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1813
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.362
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0159
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2693
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4324
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1933
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/tensopolis/falcon3-10b-tensopolis-v1/9e2bfd77-b73e-436f-ad50-ccfd379cd3f2.json b/data/hfopenllm_v2/tensopolis/falcon3-10b-tensopolis-v1/9e2bfd77-b73e-436f-ad50-ccfd379cd3f2.json
new file mode 100644
index 000000000..052c9b9d5
--- /dev/null
+++ b/data/hfopenllm_v2/tensopolis/falcon3-10b-tensopolis-v1/9e2bfd77-b73e-436f-ad50-ccfd379cd3f2.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/tensopolis_falcon3-10b-tensopolis-v1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "falcon3-10b-tensopolis-v1",
+    "id": "tensopolis/falcon3-10b-tensopolis-v1",
+    "developer": "tensopolis",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 10.306
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7817
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6182
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2749
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3297
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4375
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.442
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/tensopolis/falcon3-10b-tensopolis-v1/d59c7d7c-99a9-4de5-9a69-60b934eafa1b.json b/data/hfopenllm_v2/tensopolis/falcon3-10b-tensopolis-v1/d59c7d7c-99a9-4de5-9a69-60b934eafa1b.json
deleted file mode 100644
index a407a8406..000000000
--- a/data/hfopenllm_v2/tensopolis/falcon3-10b-tensopolis-v1/d59c7d7c-99a9-4de5-9a69-60b934eafa1b.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/tensopolis_falcon3-10b-tensopolis-v1/1762652580.555104",
-  "retrieved_timestamp": "1762652580.555105",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "tensopolis/falcon3-10b-tensopolis-v1",
-    "developer": "tensopolis",
-    "inference_platform": "unknown",
-    "id": "tensopolis/falcon3-10b-tensopolis-v1",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 10.306
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7816560060639104
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.618226655000786
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.27492447129909364
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3296979865771812
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.43753125
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4419880319148936
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/tensopolis/falcon3-10b-tensopolis-v2/100cf60a-c43c-4b3a-a667-a45cffdd562a.json b/data/hfopenllm_v2/tensopolis/falcon3-10b-tensopolis-v2/100cf60a-c43c-4b3a-a667-a45cffdd562a.json
new file mode 100644
index 000000000..67f93fc67
--- /dev/null
+++ b/data/hfopenllm_v2/tensopolis/falcon3-10b-tensopolis-v2/100cf60a-c43c-4b3a-a667-a45cffdd562a.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/tensopolis_falcon3-10b-tensopolis-v2/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "falcon3-10b-tensopolis-v2",
+    "id": "tensopolis/falcon3-10b-tensopolis-v2",
+    "developer": "tensopolis",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 10.306
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7792
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6182
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2666
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3272
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4297
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4424
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/tensopolis/falcon3-10b-tensopolis-v2/ce5dfe15-432b-42ac-9ef1-569ab4e640a6.json b/data/hfopenllm_v2/tensopolis/falcon3-10b-tensopolis-v2/ce5dfe15-432b-42ac-9ef1-569ab4e640a6.json
deleted file mode 100644
index 1760edaa2..000000000
--- a/data/hfopenllm_v2/tensopolis/falcon3-10b-tensopolis-v2/ce5dfe15-432b-42ac-9ef1-569ab4e640a6.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/tensopolis_falcon3-10b-tensopolis-v2/1762652580.555352",
-  "retrieved_timestamp": "1762652580.5553532",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "tensopolis/falcon3-10b-tensopolis-v2",
-    "developer": "tensopolis",
-    "inference_platform": "unknown",
-    "id": "tensopolis/falcon3-10b-tensopolis-v2",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 10.306
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7792080568447275
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.618226655000786
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.26661631419939574
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3271812080536913
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4296875
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4424035904255319
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/tensopolis/lamarckvergence-14b-tensopolis-v1/2088fca7-11d7-47de-808d-d47da0caad0f.json b/data/hfopenllm_v2/tensopolis/lamarckvergence-14b-tensopolis-v1/2088fca7-11d7-47de-808d-d47da0caad0f.json
new file mode 100644
index 000000000..4284ac283
--- /dev/null
+++ b/data/hfopenllm_v2/tensopolis/lamarckvergence-14b-tensopolis-v1/2088fca7-11d7-47de-808d-d47da0caad0f.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/tensopolis_lamarckvergence-14b-tensopolis-v1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "lamarckvergence-14b-tensopolis-v1",
+    "id": "tensopolis/lamarckvergence-14b-tensopolis-v1",
+    "developer": "tensopolis",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.766
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7604
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6561
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5166
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3607
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4475
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.525
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/tensopolis/lamarckvergence-14b-tensopolis-v1/da94039c-b214-4ad0-a312-a38cea28498b.json b/data/hfopenllm_v2/tensopolis/lamarckvergence-14b-tensopolis-v1/da94039c-b214-4ad0-a312-a38cea28498b.json
deleted file mode 100644
index ea906de3f..000000000
--- a/data/hfopenllm_v2/tensopolis/lamarckvergence-14b-tensopolis-v1/da94039c-b214-4ad0-a312-a38cea28498b.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/tensopolis_lamarckvergence-14b-tensopolis-v1/1762652580.555553",
-  "retrieved_timestamp": "1762652580.5555542",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "tensopolis/lamarckvergence-14b-tensopolis-v1",
-    "developer": "tensopolis",
-    "inference_platform": "unknown",
-    "id": "tensopolis/lamarckvergence-14b-tensopolis-v1",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 14.766
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7603735865281896
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6561154329558933
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5166163141993958
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.36073825503355705
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.44745833333333335
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5250166223404256
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/tensopolis/mistral-small-2501-tensopolis-v1/bf0b3560-9d38-406a-ad30-5fd157f0fe43.json b/data/hfopenllm_v2/tensopolis/mistral-small-2501-tensopolis-v1/bf0b3560-9d38-406a-ad30-5fd157f0fe43.json
new file mode 100644
index 000000000..26e8accb5
--- /dev/null
+++ b/data/hfopenllm_v2/tensopolis/mistral-small-2501-tensopolis-v1/bf0b3560-9d38-406a-ad30-5fd157f0fe43.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/tensopolis_mistral-small-2501-tensopolis-v1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "mistral-small-2501-tensopolis-v1",
+    "id": "tensopolis/mistral-small-2501-tensopolis-v1",
+    "developer": "tensopolis",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 23.572
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7762
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6475
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4441
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3574
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.428
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4465
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/tensopolis/mistral-small-r1-tensopolis/9ce12fbc-00f7-4cc8-bd9d-67ead83a0801.json b/data/hfopenllm_v2/tensopolis/mistral-small-r1-tensopolis/9ce12fbc-00f7-4cc8-bd9d-67ead83a0801.json
new file mode 100644
index 000000000..1b98fd82a
--- /dev/null
+++ b/data/hfopenllm_v2/tensopolis/mistral-small-r1-tensopolis/9ce12fbc-00f7-4cc8-bd9d-67ead83a0801.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/tensopolis_mistral-small-r1-tensopolis/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "mistral-small-r1-tensopolis",
+    "id": "tensopolis/mistral-small-r1-tensopolis",
+    "developer": "tensopolis",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 23.572
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/tensopolis/phi-4-tensopolis-v1/14501de3-dac0-44af-8c17-7abcd9bbba8b.json b/data/hfopenllm_v2/tensopolis/phi-4-tensopolis-v1/14501de3-dac0-44af-8c17-7abcd9bbba8b.json
new file mode 100644
index 000000000..498b1170f
--- /dev/null
+++ b/data/hfopenllm_v2/tensopolis/phi-4-tensopolis-v1/14501de3-dac0-44af-8c17-7abcd9bbba8b.json
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diff --git a/data/hfopenllm_v2/tensopolis/qwen2.5-14b-tensopolis-v1/c9db8ce4-6f0d-4c13-8484-6fca9e9c3798.json b/data/hfopenllm_v2/tensopolis/qwen2.5-14b-tensopolis-v1/c9db8ce4-6f0d-4c13-8484-6fca9e9c3798.json
new file mode 100644
index 000000000..32b5e1f0e
--- /dev/null
+++ b/data/hfopenllm_v2/tensopolis/qwen2.5-14b-tensopolis-v1/c9db8ce4-6f0d-4c13-8484-6fca9e9c3798.json
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/tensopolis/qwen2.5-3b-or1-tensopolis/8c6c06be-bbc6-4307-ba5b-336dc2bb466f.json b/data/hfopenllm_v2/tensopolis/qwen2.5-3b-or1-tensopolis/8c6c06be-bbc6-4307-ba5b-336dc2bb466f.json
new file mode 100644
index 000000000..a7e6952b8
--- /dev/null
+++ b/data/hfopenllm_v2/tensopolis/qwen2.5-3b-or1-tensopolis/8c6c06be-bbc6-4307-ba5b-336dc2bb466f.json
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/tensopolis/qwen2.5-7b-tensopolis-v1/1326ff61-d0b4-46eb-9bcf-f978166e622b.json b/data/hfopenllm_v2/tensopolis/qwen2.5-7b-tensopolis-v1/1326ff61-d0b4-46eb-9bcf-f978166e622b.json
new file mode 100644
index 000000000..2517471e4
--- /dev/null
+++ b/data/hfopenllm_v2/tensopolis/qwen2.5-7b-tensopolis-v1/1326ff61-d0b4-46eb-9bcf-f978166e622b.json
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+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/tensopolis/qwen2.5-7b-tensopolis-v2/4c9e829f-7a99-4d61-8730-7457215a4fd6.json b/data/hfopenllm_v2/tensopolis/qwen2.5-7b-tensopolis-v2/4c9e829f-7a99-4d61-8730-7457215a4fd6.json
new file mode 100644
index 000000000..eb25ba8f2
--- /dev/null
+++ b/data/hfopenllm_v2/tensopolis/qwen2.5-7b-tensopolis-v2/4c9e829f-7a99-4d61-8730-7457215a4fd6.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/tensopolis_qwen2.5-7b-tensopolis-v2/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "qwen2.5-7b-tensopolis-v2",
+    "id": "tensopolis/qwen2.5-7b-tensopolis-v2",
+    "developer": "tensopolis",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7521
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5415
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4819
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2903
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4246
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4243
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/tensopolis/virtuoso-lite-tensopolis-v1/574e1e63-46f3-44a4-8d04-ad1709a7e1dd.json b/data/hfopenllm_v2/tensopolis/virtuoso-lite-tensopolis-v1/574e1e63-46f3-44a4-8d04-ad1709a7e1dd.json
deleted file mode 100644
index 2182f85af..000000000
--- a/data/hfopenllm_v2/tensopolis/virtuoso-lite-tensopolis-v1/574e1e63-46f3-44a4-8d04-ad1709a7e1dd.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/tensopolis_virtuoso-lite-tensopolis-v1/1762652580.557624",
-  "retrieved_timestamp": "1762652580.557625",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "tensopolis/virtuoso-lite-tensopolis-v1",
-    "developer": "tensopolis",
-    "inference_platform": "unknown",
-    "id": "tensopolis/virtuoso-lite-tensopolis-v1",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 10.306
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.806910109620252
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.610185430846048
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2545317220543807
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3447986577181208
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4582395833333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4434840425531915
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/tensopolis/virtuoso-lite-tensopolis-v1/afc24d42-6d25-4036-8f22-fcf944b481b7.json b/data/hfopenllm_v2/tensopolis/virtuoso-lite-tensopolis-v1/afc24d42-6d25-4036-8f22-fcf944b481b7.json
new file mode 100644
index 000000000..03ab187f1
--- /dev/null
+++ b/data/hfopenllm_v2/tensopolis/virtuoso-lite-tensopolis-v1/afc24d42-6d25-4036-8f22-fcf944b481b7.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/tensopolis_virtuoso-lite-tensopolis-v1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "virtuoso-lite-tensopolis-v1",
+    "id": "tensopolis/virtuoso-lite-tensopolis-v1",
+    "developer": "tensopolis",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 10.306
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.8069
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6102
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2545
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3448
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4582
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4435
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/tensopolis/virtuoso-lite-tensopolis-v2/6f6db681-991e-408b-8d4e-71fff9e1c974.json b/data/hfopenllm_v2/tensopolis/virtuoso-lite-tensopolis-v2/6f6db681-991e-408b-8d4e-71fff9e1c974.json
new file mode 100644
index 000000000..21561cd85
--- /dev/null
+++ b/data/hfopenllm_v2/tensopolis/virtuoso-lite-tensopolis-v2/6f6db681-991e-408b-8d4e-71fff9e1c974.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/tensopolis_virtuoso-lite-tensopolis-v2/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "virtuoso-lite-tensopolis-v2",
+    "id": "tensopolis/virtuoso-lite-tensopolis-v2",
+    "developer": "tensopolis",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 10.306
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.8029
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.61
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.25
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3431
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4595
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.444
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/tensopolis/virtuoso-lite-tensopolis-v2/9024dcc9-fbd0-4ab0-9142-cbf741e7ae54.json b/data/hfopenllm_v2/tensopolis/virtuoso-lite-tensopolis-v2/9024dcc9-fbd0-4ab0-9142-cbf741e7ae54.json
deleted file mode 100644
index fac775b39..000000000
--- a/data/hfopenllm_v2/tensopolis/virtuoso-lite-tensopolis-v2/9024dcc9-fbd0-4ab0-9142-cbf741e7ae54.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/tensopolis_virtuoso-lite-tensopolis-v2/1762652580.5578399",
-  "retrieved_timestamp": "1762652580.5578408",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "tensopolis/virtuoso-lite-tensopolis-v2",
-    "developer": "tensopolis",
-    "inference_platform": "unknown",
-    "id": "tensopolis/virtuoso-lite-tensopolis-v2",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 10.306
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.8029384255996312
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6100187641793813
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.25
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.34312080536912754
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4595416666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.44398271276595747
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/tensopolis/virtuoso-small-tensopolis-v1/2228ade6-6243-423f-857e-66f5584a1511.json b/data/hfopenllm_v2/tensopolis/virtuoso-small-tensopolis-v1/2228ade6-6243-423f-857e-66f5584a1511.json
deleted file mode 100644
index 53aef1b7a..000000000
--- a/data/hfopenllm_v2/tensopolis/virtuoso-small-tensopolis-v1/2228ade6-6243-423f-857e-66f5584a1511.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/tensopolis_virtuoso-small-tensopolis-v1/1762652580.5582058",
-  "retrieved_timestamp": "1762652580.558207",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "tensopolis/virtuoso-small-tensopolis-v1",
-    "developer": "tensopolis",
-    "inference_platform": "unknown",
-    "id": "tensopolis/virtuoso-small-tensopolis-v1",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 14.77
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7856276900845313
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6415395136436205
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3527190332326284
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.32802013422818793
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.43263541666666666
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4968417553191489
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/tensopolis/virtuoso-small-tensopolis-v1/f3fa76bf-f11c-4dee-9b9f-00f1ec793dac.json b/data/hfopenllm_v2/tensopolis/virtuoso-small-tensopolis-v1/f3fa76bf-f11c-4dee-9b9f-00f1ec793dac.json
new file mode 100644
index 000000000..636b8d846
--- /dev/null
+++ b/data/hfopenllm_v2/tensopolis/virtuoso-small-tensopolis-v1/f3fa76bf-f11c-4dee-9b9f-00f1ec793dac.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/tensopolis_virtuoso-small-tensopolis-v1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "virtuoso-small-tensopolis-v1",
+    "id": "tensopolis/virtuoso-small-tensopolis-v1",
+    "developer": "tensopolis",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.77
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7856
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6415
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3527
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.328
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4326
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4968
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/tensopolis/virtuoso-small-tensopolis-v2/77b457d9-4957-4f0d-a8d3-e005ae382239.json b/data/hfopenllm_v2/tensopolis/virtuoso-small-tensopolis-v2/77b457d9-4957-4f0d-a8d3-e005ae382239.json
new file mode 100644
index 000000000..243e5f94d
--- /dev/null
+++ b/data/hfopenllm_v2/tensopolis/virtuoso-small-tensopolis-v2/77b457d9-4957-4f0d-a8d3-e005ae382239.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/tensopolis_virtuoso-small-tensopolis-v2/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "virtuoso-small-tensopolis-v2",
+    "id": "tensopolis/virtuoso-small-tensopolis-v2",
+    "developer": "tensopolis",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.77
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.802
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6516
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3875
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3289
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4352
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5154
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/tensopolis/virtuoso-small-tensopolis-v2/c5c34d42-c043-4d60-80bf-5cb522e9d915.json b/data/hfopenllm_v2/tensopolis/virtuoso-small-tensopolis-v2/c5c34d42-c043-4d60-80bf-5cb522e9d915.json
deleted file mode 100644
index 062d990aa..000000000
--- a/data/hfopenllm_v2/tensopolis/virtuoso-small-tensopolis-v2/c5c34d42-c043-4d60-80bf-5cb522e9d915.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/tensopolis_virtuoso-small-tensopolis-v2/1762652580.5584881",
-  "retrieved_timestamp": "1762652580.558489",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "tensopolis/virtuoso-small-tensopolis-v2",
-    "developer": "tensopolis",
-    "inference_platform": "unknown",
-    "id": "tensopolis/virtuoso-small-tensopolis-v2",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 14.77
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.8020142111818863
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6515835977499008
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.38746223564954685
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3288590604026846
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.43523958333333335
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.515375664893617
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/tensopolis/virtuoso-small-v2-tensopolis-v1/11474a7a-73a6-4a3f-8bcb-bef783e12a2b.json b/data/hfopenllm_v2/tensopolis/virtuoso-small-v2-tensopolis-v1/11474a7a-73a6-4a3f-8bcb-bef783e12a2b.json
new file mode 100644
index 000000000..24a089280
--- /dev/null
+++ b/data/hfopenllm_v2/tensopolis/virtuoso-small-v2-tensopolis-v1/11474a7a-73a6-4a3f-8bcb-bef783e12a2b.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/tensopolis_virtuoso-small-v2-tensopolis-v1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "virtuoso-small-v2-tensopolis-v1",
+    "id": "tensopolis/virtuoso-small-v2-tensopolis-v1",
+    "developer": "tensopolis",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.766
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.8419
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6545
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4524
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3465
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4509
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5175
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/tensopolis/virtuoso-small-v2-tensopolis-v1/727869c4-3498-482a-a04e-c6a779c0e558.json b/data/hfopenllm_v2/tensopolis/virtuoso-small-v2-tensopolis-v1/727869c4-3498-482a-a04e-c6a779c0e558.json
deleted file mode 100644
index e5ffaba05..000000000
--- a/data/hfopenllm_v2/tensopolis/virtuoso-small-v2-tensopolis-v1/727869c4-3498-482a-a04e-c6a779c0e558.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/tensopolis_virtuoso-small-v2-tensopolis-v1/1762652580.558718",
-  "retrieved_timestamp": "1762652580.558719",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "tensopolis/virtuoso-small-v2-tensopolis-v1",
-    "developer": "tensopolis",
-    "inference_platform": "unknown",
-    "id": "tensopolis/virtuoso-small-v2-tensopolis-v1",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 14.766
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.8419061423689145
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6544753426578069
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.452416918429003
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3464765100671141
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.45092708333333337
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5175365691489362
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/tensoropera/Fox-1-1.6B/23cc1e7f-0994-43a5-8403-5361a2976285.json b/data/hfopenllm_v2/tensoropera/Fox-1-1.6B/23cc1e7f-0994-43a5-8403-5361a2976285.json
new file mode 100644
index 000000000..fa1deaf6f
--- /dev/null
+++ b/data/hfopenllm_v2/tensoropera/Fox-1-1.6B/23cc1e7f-0994-43a5-8403-5361a2976285.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/tensoropera_Fox-1-1.6B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Fox-1-1.6B",
+    "id": "tensoropera/Fox-1-1.6B",
+    "developer": "tensoropera",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 1.665
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2766
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3307
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0174
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2634
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.355
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1371
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/tensoropera/Fox-1-1.6B/998d2bbc-2722-4fb8-9a6a-230c146e2e37.json b/data/hfopenllm_v2/tensoropera/Fox-1-1.6B/998d2bbc-2722-4fb8-9a6a-230c146e2e37.json
deleted file mode 100644
index fbd711568..000000000
--- a/data/hfopenllm_v2/tensoropera/Fox-1-1.6B/998d2bbc-2722-4fb8-9a6a-230c146e2e37.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/tensoropera_Fox-1-1.6B/1762652580.558935",
-  "retrieved_timestamp": "1762652580.558936",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "tensoropera/Fox-1-1.6B",
-    "developer": "tensoropera",
-    "inference_platform": "unknown",
-    "id": "tensoropera/Fox-1-1.6B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 1.665
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.27659831469390106
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3307369914593792
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.017371601208459216
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2634228187919463
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.35498958333333336
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1371343085106383
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/tenyx/Llama3-TenyxChat-70B/88c257d3-d5c1-4e1f-bbc8-9fc6bd65e15e.json b/data/hfopenllm_v2/tenyx/Llama3-TenyxChat-70B/88c257d3-d5c1-4e1f-bbc8-9fc6bd65e15e.json
new file mode 100644
index 000000000..f42d9a03a
--- /dev/null
+++ b/data/hfopenllm_v2/tenyx/Llama3-TenyxChat-70B/88c257d3-d5c1-4e1f-bbc8-9fc6bd65e15e.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/tenyx_Llama3-TenyxChat-70B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama3-TenyxChat-70B",
+    "id": "tenyx/Llama3-TenyxChat-70B",
+    "developer": "tenyx",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 70.554
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.8087
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6511
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2356
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3012
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.426
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.521
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/theo77186/Qwen2.5-Coder-7B-Instruct-20241106/b8198c8b-533a-4f7c-9025-1ccd7a4aba76.json b/data/hfopenllm_v2/theo77186/Qwen2.5-Coder-7B-Instruct-20241106/b8198c8b-533a-4f7c-9025-1ccd7a4aba76.json
deleted file mode 100644
index 96bfa693b..000000000
--- a/data/hfopenllm_v2/theo77186/Qwen2.5-Coder-7B-Instruct-20241106/b8198c8b-533a-4f7c-9025-1ccd7a4aba76.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/theo77186_Qwen2.5-Coder-7B-Instruct-20241106/1762652580.559671",
-  "retrieved_timestamp": "1762652580.559671",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "theo77186/Qwen2.5-Coder-7B-Instruct-20241106",
-    "developer": "theo77186",
-    "inference_platform": "unknown",
-    "id": "theo77186/Qwen2.5-Coder-7B-Instruct-20241106",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.616
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6101477413263474
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5007976986224548
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.38821752265861026
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.29194630872483224
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4072708333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.33527260638297873
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/theo77186/Qwen2.5-Coder-7B-Instruct-20241106/ec4c2032-8fc0-448a-a7c4-ee9b35b642db.json b/data/hfopenllm_v2/theo77186/Qwen2.5-Coder-7B-Instruct-20241106/ec4c2032-8fc0-448a-a7c4-ee9b35b642db.json
new file mode 100644
index 000000000..21cc408b5
--- /dev/null
+++ b/data/hfopenllm_v2/theo77186/Qwen2.5-Coder-7B-Instruct-20241106/ec4c2032-8fc0-448a-a7c4-ee9b35b642db.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/theo77186_Qwen2.5-Coder-7B-Instruct-20241106/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-Coder-7B-Instruct-20241106",
+    "id": "theo77186/Qwen2.5-Coder-7B-Instruct-20241106",
+    "developer": "theo77186",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6101
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5008
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3882
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2919
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4073
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3353
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/theprint/Boptruth-Agatha-7B/0d1c0e64-8a5a-4797-9234-91a4f1726171.json b/data/hfopenllm_v2/theprint/Boptruth-Agatha-7B/0d1c0e64-8a5a-4797-9234-91a4f1726171.json
deleted file mode 100644
index 99e1ea4cc..000000000
--- a/data/hfopenllm_v2/theprint/Boptruth-Agatha-7B/0d1c0e64-8a5a-4797-9234-91a4f1726171.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/theprint_Boptruth-Agatha-7B/1762652580.559956",
-  "retrieved_timestamp": "1762652580.559957",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "theprint/Boptruth-Agatha-7B",
-    "developer": "theprint",
-    "inference_platform": "unknown",
-    "id": "theprint/Boptruth-Agatha-7B",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.312418826491487
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4983936045348778
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.05513595166163142
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.29949664429530204
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42766666666666664
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.28607047872340424
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/theprint/Boptruth-Agatha-7B/3c7ac4de-1456-4afb-b7ac-07beb6cb4d39.json b/data/hfopenllm_v2/theprint/Boptruth-Agatha-7B/3c7ac4de-1456-4afb-b7ac-07beb6cb4d39.json
new file mode 100644
index 000000000..096a756a8
--- /dev/null
+++ b/data/hfopenllm_v2/theprint/Boptruth-Agatha-7B/3c7ac4de-1456-4afb-b7ac-07beb6cb4d39.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/theprint_Boptruth-Agatha-7B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Boptruth-Agatha-7B",
+    "id": "theprint/Boptruth-Agatha-7B",
+    "developer": "theprint",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3124
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4984
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0551
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2995
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4277
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2861
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/theprint/CleverBoi-7B-v2/0ef8de5e-4e2f-4d74-9267-e953375dbdf4.json b/data/hfopenllm_v2/theprint/CleverBoi-7B-v2/0ef8de5e-4e2f-4d74-9267-e953375dbdf4.json
deleted file mode 100644
index 21be70798..000000000
--- a/data/hfopenllm_v2/theprint/CleverBoi-7B-v2/0ef8de5e-4e2f-4d74-9267-e953375dbdf4.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/theprint_CleverBoi-7B-v2/1762652580.56022",
-  "retrieved_timestamp": "1762652580.560221",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "theprint/CleverBoi-7B-v2",
-    "developer": "theprint",
-    "inference_platform": "unknown",
-    "id": "theprint/CleverBoi-7B-v2",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "?",
-      "params_billions": 7.736
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.21699756645700075
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.45317253321634526
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.026435045317220542
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.28859060402684567
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.46953125
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.27086103723404253
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/theprint/CleverBoi-7B-v2/a06ad94f-13ee-466c-b25f-87cd87012678.json b/data/hfopenllm_v2/theprint/CleverBoi-7B-v2/a06ad94f-13ee-466c-b25f-87cd87012678.json
new file mode 100644
index 000000000..1d1af6ab3
--- /dev/null
+++ b/data/hfopenllm_v2/theprint/CleverBoi-7B-v2/a06ad94f-13ee-466c-b25f-87cd87012678.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/theprint_CleverBoi-7B-v2/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "CleverBoi-7B-v2",
+    "id": "theprint/CleverBoi-7B-v2",
+    "developer": "theprint",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "?",
+      "params_billions": 7.736
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.217
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4532
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0264
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2886
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4695
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2709
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/theprint/CleverBoi-7B-v3/4634b7d7-110e-422c-af60-80cd9df06dac.json b/data/hfopenllm_v2/theprint/CleverBoi-7B-v3/4634b7d7-110e-422c-af60-80cd9df06dac.json
deleted file mode 100644
index 1a202be75..000000000
--- a/data/hfopenllm_v2/theprint/CleverBoi-7B-v3/4634b7d7-110e-422c-af60-80cd9df06dac.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/theprint_CleverBoi-7B-v3/1762652580.560437",
-  "retrieved_timestamp": "1762652580.560438",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "theprint/CleverBoi-7B-v3",
-    "developer": "theprint",
-    "inference_platform": "unknown",
-    "id": "theprint/CleverBoi-7B-v3",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "?",
-      "params_billions": 7.736
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.23823011830831084
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-        "score": 0.4414430902840938
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-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-      "score_details": {
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-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-        "score": 0.26593959731543626
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-    },
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-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4071770833333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.28681848404255317
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/theprint/CleverBoi-7B-v3/9e1ca6d0-d2b2-48c5-acc2-ad299ce02e1f.json b/data/hfopenllm_v2/theprint/CleverBoi-7B-v3/9e1ca6d0-d2b2-48c5-acc2-ad299ce02e1f.json
new file mode 100644
index 000000000..15f7a9b45
--- /dev/null
+++ b/data/hfopenllm_v2/theprint/CleverBoi-7B-v3/9e1ca6d0-d2b2-48c5-acc2-ad299ce02e1f.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/theprint_CleverBoi-7B-v3/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "CleverBoi-7B-v3",
+    "id": "theprint/CleverBoi-7B-v3",
+    "developer": "theprint",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "?",
+      "params_billions": 7.736
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2382
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4414
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.04
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2659
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4072
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2868
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/theprint/CleverBoi-Llama-3.1-8B-Instruct/7dcd6e37-3685-4b08-b983-b2a711aeaf73.json b/data/hfopenllm_v2/theprint/CleverBoi-Llama-3.1-8B-Instruct/7dcd6e37-3685-4b08-b983-b2a711aeaf73.json
new file mode 100644
index 000000000..a63c67af4
--- /dev/null
+++ b/data/hfopenllm_v2/theprint/CleverBoi-Llama-3.1-8B-Instruct/7dcd6e37-3685-4b08-b983-b2a711aeaf73.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/theprint_CleverBoi-Llama-3.1-8B-Instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "CleverBoi-Llama-3.1-8B-Instruct",
+    "id": "theprint/CleverBoi-Llama-3.1-8B-Instruct",
+    "developer": "theprint",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "?",
+      "params_billions": 16.061
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1682
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.456
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0491
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3003
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4014
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3075
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/theprint/CleverBoi-Llama-3.1-8B-Instruct/86d3bb20-09a5-4ec0-a473-14a3e3c5a402.json b/data/hfopenllm_v2/theprint/CleverBoi-Llama-3.1-8B-Instruct/86d3bb20-09a5-4ec0-a473-14a3e3c5a402.json
deleted file mode 100644
index dff2d460b..000000000
--- a/data/hfopenllm_v2/theprint/CleverBoi-Llama-3.1-8B-Instruct/86d3bb20-09a5-4ec0-a473-14a3e3c5a402.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/theprint_CleverBoi-Llama-3.1-8B-Instruct/1762652580.5606558",
-  "retrieved_timestamp": "1762652580.5606568",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "theprint/CleverBoi-Llama-3.1-8B-Instruct",
-    "developer": "theprint",
-    "inference_platform": "unknown",
-    "id": "theprint/CleverBoi-Llama-3.1-8B-Instruct",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "?",
-      "params_billions": 16.061
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.16816269719898758
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4559618469185147
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.04909365558912387
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30033557046979864
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.40143750000000006
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30751329787234044
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/theprint/CleverBoi-Llama-3.1-8B-v2/b1ae6801-0139-41d3-85dc-102ad5cc4c6a.json b/data/hfopenllm_v2/theprint/CleverBoi-Llama-3.1-8B-v2/b1ae6801-0139-41d3-85dc-102ad5cc4c6a.json
new file mode 100644
index 000000000..f1cf9de8b
--- /dev/null
+++ b/data/hfopenllm_v2/theprint/CleverBoi-Llama-3.1-8B-v2/b1ae6801-0139-41d3-85dc-102ad5cc4c6a.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/theprint_CleverBoi-Llama-3.1-8B-v2/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "CleverBoi-Llama-3.1-8B-v2",
+    "id": "theprint/CleverBoi-Llama-3.1-8B-v2",
+    "developer": "theprint",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "?",
+      "params_billions": 9.3
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1961
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4668
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0529
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2861
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3735
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3188
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/theprint/CleverBoi-Nemo-12B-v2/3ac95acf-830a-48ca-a144-42b610558062.json b/data/hfopenllm_v2/theprint/CleverBoi-Nemo-12B-v2/3ac95acf-830a-48ca-a144-42b610558062.json
deleted file mode 100644
index 9fe60f311..000000000
--- a/data/hfopenllm_v2/theprint/CleverBoi-Nemo-12B-v2/3ac95acf-830a-48ca-a144-42b610558062.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/theprint_CleverBoi-Nemo-12B-v2/1762652580.561142",
-  "retrieved_timestamp": "1762652580.561143",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "theprint/CleverBoi-Nemo-12B-v2",
-    "developer": "theprint",
-    "inference_platform": "unknown",
-    "id": "theprint/CleverBoi-Nemo-12B-v2",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "?",
-      "params_billions": 13.933
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2045827293802666
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5241085887165254
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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new file mode 100644
index 000000000..76b2de2d9
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+++ b/data/hfopenllm_v2/theprint/CleverBoi-Nemo-12B-v2/4cc037a2-d952-4566-a575-015f8e3a5925.json
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new file mode 100644
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diff --git a/data/hfopenllm_v2/theprint/Conversely-Mistral-7B/40e452df-8f0a-4473-a3d1-41f9c288c12f.json b/data/hfopenllm_v2/theprint/Conversely-Mistral-7B/40e452df-8f0a-4473-a3d1-41f9c288c12f.json
new file mode 100644
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diff --git a/data/hfopenllm_v2/theprint/Llama-3.2-3B-VanRossum/216020ac-276b-436e-815b-d6968eb83770.json b/data/hfopenllm_v2/theprint/Llama-3.2-3B-VanRossum/216020ac-276b-436e-815b-d6968eb83770.json
new file mode 100644
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/theprint/ReWiz-7B/1bb4aeac-a5e1-4fd7-9e70-64fdcfc600cd.json b/data/hfopenllm_v2/theprint/ReWiz-7B/1bb4aeac-a5e1-4fd7-9e70-64fdcfc600cd.json
new file mode 100644
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0408
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2752
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4612
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.267
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/theprint/ReWiz-7B/b6f50cef-72b3-414c-a33a-a2c8b2af18c0.json b/data/hfopenllm_v2/theprint/ReWiz-7B/b6f50cef-72b3-414c-a33a-a2c8b2af18c0.json
deleted file mode 100644
index 05ff71fb1..000000000
--- a/data/hfopenllm_v2/theprint/ReWiz-7B/b6f50cef-72b3-414c-a33a-a2c8b2af18c0.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/theprint_ReWiz-7B/1762652580.562494",
-  "retrieved_timestamp": "1762652580.562496",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "theprint/ReWiz-7B",
-    "developer": "theprint",
-    "inference_platform": "unknown",
-    "id": "theprint/ReWiz-7B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "?",
-      "params_billions": 7.736
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4564215411912313
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
-        "score": 0.04078549848942598
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2751677852348993
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.46115625
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2670378989361702
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/theprint/ReWiz-Llama-3.1-8B-v2/25739611-f690-41b4-87de-9f4ea8b3d815.json b/data/hfopenllm_v2/theprint/ReWiz-Llama-3.1-8B-v2/25739611-f690-41b4-87de-9f4ea8b3d815.json
new file mode 100644
index 000000000..f45735570
--- /dev/null
+++ b/data/hfopenllm_v2/theprint/ReWiz-Llama-3.1-8B-v2/25739611-f690-41b4-87de-9f4ea8b3d815.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/theprint_ReWiz-Llama-3.1-8B-v2/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "ReWiz-Llama-3.1-8B-v2",
+    "id": "theprint/ReWiz-Llama-3.1-8B-v2",
+    "developer": "theprint",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "?",
+      "params_billions": 9.3
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2379
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4632
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0574
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3029
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3814
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.331
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/theprint/ReWiz-Llama-3.2-3B/b8c27fdd-5b35-41ab-8a35-b5a48f27cceb.json b/data/hfopenllm_v2/theprint/ReWiz-Llama-3.2-3B/b8c27fdd-5b35-41ab-8a35-b5a48f27cceb.json
new file mode 100644
index 000000000..e0c5c3d8e
--- /dev/null
+++ b/data/hfopenllm_v2/theprint/ReWiz-Llama-3.2-3B/b8c27fdd-5b35-41ab-8a35-b5a48f27cceb.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/theprint_ReWiz-Llama-3.2-3B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "ReWiz-Llama-3.2-3B",
+    "id": "theprint/ReWiz-Llama-3.2-3B",
+    "developer": "theprint",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 3.213
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4649
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4343
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1095
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2836
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3614
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2887
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/theprint/ReWiz-Nemo-12B-Instruct/92999dc0-7075-44ee-be68-1ec32ab5645d.json b/data/hfopenllm_v2/theprint/ReWiz-Nemo-12B-Instruct/92999dc0-7075-44ee-be68-1ec32ab5645d.json
deleted file mode 100644
index 9e1bde3ed..000000000
--- a/data/hfopenllm_v2/theprint/ReWiz-Nemo-12B-Instruct/92999dc0-7075-44ee-be68-1ec32ab5645d.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/theprint_ReWiz-Nemo-12B-Instruct/1762652580.563264",
-  "retrieved_timestamp": "1762652580.563264",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "theprint/ReWiz-Nemo-12B-Instruct",
-    "developer": "theprint",
-    "inference_platform": "unknown",
-    "id": "theprint/ReWiz-Nemo-12B-Instruct",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 12.248
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.10623811486854878
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-    },
-    {
-      "evaluation_name": "GPQA",
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
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-    },
-    {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4095625
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.33394281914893614
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/theprint/ReWiz-Nemo-12B-Instruct/fa237949-c3ac-482a-8a54-5a2019f24016.json b/data/hfopenllm_v2/theprint/ReWiz-Nemo-12B-Instruct/fa237949-c3ac-482a-8a54-5a2019f24016.json
new file mode 100644
index 000000000..121036620
--- /dev/null
+++ b/data/hfopenllm_v2/theprint/ReWiz-Nemo-12B-Instruct/fa237949-c3ac-482a-8a54-5a2019f24016.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/theprint_ReWiz-Nemo-12B-Instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "ReWiz-Nemo-12B-Instruct",
+    "id": "theprint/ReWiz-Nemo-12B-Instruct",
+    "developer": "theprint",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 12.248
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1062
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+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5092
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1042
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
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+        "hf_repo": "TAUR-Lab/MuSR"
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+        "hf_repo": "TIGER-Lab/MMLU-Pro"
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/theprint/ReWiz-Qwen-2.5-14B/b60dd828-a3e7-46a8-b4c2-322aeca42faf.json b/data/hfopenllm_v2/theprint/ReWiz-Qwen-2.5-14B/b60dd828-a3e7-46a8-b4c2-322aeca42faf.json
new file mode 100644
index 000000000..c794f72d9
--- /dev/null
+++ b/data/hfopenllm_v2/theprint/ReWiz-Qwen-2.5-14B/b60dd828-a3e7-46a8-b4c2-322aeca42faf.json
@@ -0,0 +1,132 @@
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+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "ReWiz-Qwen-2.5-14B",
+    "id": "theprint/ReWiz-Qwen-2.5-14B",
+    "developer": "theprint",
+    "inference_platform": "unknown",
+    "additional_details": {
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+      "architecture": "?",
+      "params_billions": 16.743
+    }
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+      }
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
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+        "max_score": 1.0
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
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+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
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+        "score_type": "continuous",
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+        "max_score": 1.0
+      },
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+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
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+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/theprint/ReWiz-Worldbuilder-7B/5de9f914-333f-4181-a93f-79257a3daf54.json b/data/hfopenllm_v2/theprint/ReWiz-Worldbuilder-7B/5de9f914-333f-4181-a93f-79257a3daf54.json
new file mode 100644
index 000000000..499adb749
--- /dev/null
+++ b/data/hfopenllm_v2/theprint/ReWiz-Worldbuilder-7B/5de9f914-333f-4181-a93f-79257a3daf54.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/theprint_ReWiz-Worldbuilder-7B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "ReWiz-Worldbuilder-7B",
+    "id": "theprint/ReWiz-Worldbuilder-7B",
+    "developer": "theprint",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
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+    }
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+  "evaluation_results": [
+    {
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+      },
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+        "hf_repo": "SaylorTwift/bbh"
+      },
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+      },
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+    {
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+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
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+    },
+    {
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+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
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+    },
+    {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/theprint/ReWiz-Worldbuilder-7B/cf71c265-ef73-4410-a2bc-ce9702cfbcee.json b/data/hfopenllm_v2/theprint/ReWiz-Worldbuilder-7B/cf71c265-ef73-4410-a2bc-ce9702cfbcee.json
deleted file mode 100644
index 2e47d2f11..000000000
--- a/data/hfopenllm_v2/theprint/ReWiz-Worldbuilder-7B/cf71c265-ef73-4410-a2bc-ce9702cfbcee.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/theprint/RuDolph-Hermes-7B/22bab713-09d7-471a-b077-cb8c336ba151.json b/data/hfopenllm_v2/theprint/RuDolph-Hermes-7B/22bab713-09d7-471a-b077-cb8c336ba151.json
deleted file mode 100644
index 15523fcc7..000000000
--- a/data/hfopenllm_v2/theprint/RuDolph-Hermes-7B/22bab713-09d7-471a-b077-cb8c336ba151.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-}
diff --git a/data/hfopenllm_v2/theprint/RuDolph-Hermes-7B/e2d23da4-226a-4a02-8390-e8edaea4b65b.json b/data/hfopenllm_v2/theprint/RuDolph-Hermes-7B/e2d23da4-226a-4a02-8390-e8edaea4b65b.json
new file mode 100644
index 000000000..b8a758ee2
--- /dev/null
+++ b/data/hfopenllm_v2/theprint/RuDolph-Hermes-7B/e2d23da4-226a-4a02-8390-e8edaea4b65b.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/theprint_RuDolph-Hermes-7B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
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+  "model_info": {
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+    "id": "theprint/RuDolph-Hermes-7B",
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+    "additional_details": {
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+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
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+  "evaluation_results": [
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
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+    {
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+        "hf_repo": "SaylorTwift/bbh"
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+      "metric_config": {
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+      "metric_config": {
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+      "metric_config": {
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+        "hf_repo": "TAUR-Lab/MuSR"
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+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3073
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/theprint/WorldBuilder-12B/c64c7470-dcf9-46f8-b789-cab7e902739d.json b/data/hfopenllm_v2/theprint/WorldBuilder-12B/c64c7470-dcf9-46f8-b789-cab7e902739d.json
new file mode 100644
index 000000000..70af1d5c7
--- /dev/null
+++ b/data/hfopenllm_v2/theprint/WorldBuilder-12B/c64c7470-dcf9-46f8-b789-cab7e902739d.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/theprint_WorldBuilder-12B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "WorldBuilder-12B",
+    "id": "theprint/WorldBuilder-12B",
+    "developer": "theprint",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "?",
+      "params_billions": 13.933
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1374
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.501
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0446
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.297
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4066
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3192
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/theprint/WorldBuilder-12B/f1107803-5a3b-4fcc-b948-ff622b5f26da.json b/data/hfopenllm_v2/theprint/WorldBuilder-12B/f1107803-5a3b-4fcc-b948-ff622b5f26da.json
deleted file mode 100644
index 306b2c16d..000000000
--- a/data/hfopenllm_v2/theprint/WorldBuilder-12B/f1107803-5a3b-4fcc-b948-ff622b5f26da.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/theprint_WorldBuilder-12B/1762652580.564255",
-  "retrieved_timestamp": "1762652580.564256",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "theprint/WorldBuilder-12B",
-    "developer": "theprint",
-    "inference_platform": "unknown",
-    "id": "theprint/WorldBuilder-12B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "?",
-      "params_billions": 13.933
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.13743755457741016
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5010100641541125
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.0445619335347432
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.29697986577181207
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4066458333333334
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.31923204787234044
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/theprint/phi-3-mini-4k-python/f6d727a3-19dc-4173-a88f-2c47449896aa.json b/data/hfopenllm_v2/theprint/phi-3-mini-4k-python/f6d727a3-19dc-4173-a88f-2c47449896aa.json
new file mode 100644
index 000000000..e5805f869
--- /dev/null
+++ b/data/hfopenllm_v2/theprint/phi-3-mini-4k-python/f6d727a3-19dc-4173-a88f-2c47449896aa.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/theprint_phi-3-mini-4k-python/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "phi-3-mini-4k-python",
+    "id": "theprint/phi-3-mini-4k-python",
+    "developer": "theprint",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "?",
+      "params_billions": 4.132
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2409
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4938
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.105
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2911
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3922
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3577
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/thinkcoder/llama3-8b-instruct-lora-8-sft/490d14c8-2cb0-4328-9f41-6074b28d6fdc.json b/data/hfopenllm_v2/thinkcoder/llama3-8b-instruct-lora-8-sft/490d14c8-2cb0-4328-9f41-6074b28d6fdc.json
new file mode 100644
index 000000000..440a5ef62
--- /dev/null
+++ b/data/hfopenllm_v2/thinkcoder/llama3-8b-instruct-lora-8-sft/490d14c8-2cb0-4328-9f41-6074b28d6fdc.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/thinkcoder_llama3-8b-instruct-lora-8-sft/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "llama3-8b-instruct-lora-8-sft",
+    "id": "thinkcoder/llama3-8b-instruct-lora-8-sft",
+    "developer": "thinkcoder",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.648
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4865
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.102
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2668
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3235
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3476
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/thinkcoder/llama3-8b-instruct-lora-8-sft/51caac64-fee1-4c7f-b474-1b1e0f71212c.json b/data/hfopenllm_v2/thinkcoder/llama3-8b-instruct-lora-8-sft/51caac64-fee1-4c7f-b474-1b1e0f71212c.json
deleted file mode 100644
index ac952c250..000000000
--- a/data/hfopenllm_v2/thinkcoder/llama3-8b-instruct-lora-8-sft/51caac64-fee1-4c7f-b474-1b1e0f71212c.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/thinkcoder_llama3-8b-instruct-lora-8-sft/1762652580.564969",
-  "retrieved_timestamp": "1762652580.56497",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "thinkcoder/llama3-8b-instruct-lora-8-sft",
-    "developer": "thinkcoder",
-    "inference_platform": "unknown",
-    "id": "thinkcoder/llama3-8b-instruct-lora-8-sft",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6480416406246536
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4865011845587858
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.10196374622356495
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.26677852348993286
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.32345833333333335
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.34757313829787234
-      }
-    }
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-}
diff --git a/data/hfopenllm_v2/thirdeyeai/elevate360m/013a9bf9-7b9e-4084-b7a2-bb77ad0c18e1.json b/data/hfopenllm_v2/thirdeyeai/elevate360m/013a9bf9-7b9e-4084-b7a2-bb77ad0c18e1.json
deleted file mode 100644
index 33d50d537..000000000
--- a/data/hfopenllm_v2/thirdeyeai/elevate360m/013a9bf9-7b9e-4084-b7a2-bb77ad0c18e1.json
+++ /dev/null
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new file mode 100644
index 000000000..2f88fa8a2
--- /dev/null
+++ b/data/hfopenllm_v2/thirdeyeai/elevate360m/9351b079-7ef5-42ec-bb83-f0d8ec7de479.json
@@ -0,0 +1,132 @@
+{
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+    "source_type": "documentation",
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+        "hf_repo": "TAUR-Lab/MuSR"
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+        "hf_repo": "TIGER-Lab/MMLU-Pro"
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/thomas-yanxin/XinYuan-Qwen2-1_5B/852d5adb-f422-4102-8114-082ab0b3c07d.json b/data/hfopenllm_v2/thomas-yanxin/XinYuan-Qwen2-1_5B/852d5adb-f422-4102-8114-082ab0b3c07d.json
new file mode 100644
index 000000000..d16c6d65e
--- /dev/null
+++ b/data/hfopenllm_v2/thomas-yanxin/XinYuan-Qwen2-1_5B/852d5adb-f422-4102-8114-082ab0b3c07d.json
@@ -0,0 +1,132 @@
+{
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/thomas-yanxin/XinYuan-Qwen2-7B-0917/c64e98cd-c022-4834-a3e0-3949416d1fb1.json b/data/hfopenllm_v2/thomas-yanxin/XinYuan-Qwen2-7B-0917/c64e98cd-c022-4834-a3e0-3949416d1fb1.json
new file mode 100644
index 000000000..075ddb870
--- /dev/null
+++ b/data/hfopenllm_v2/thomas-yanxin/XinYuan-Qwen2-7B-0917/c64e98cd-c022-4834-a3e0-3949416d1fb1.json
@@ -0,0 +1,132 @@
+{
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+    "developer": "thomas-yanxin",
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/thomas-yanxin/XinYuan-Qwen2-7B/f101bd15-ac61-49d4-beac-c89bc889b34b.json b/data/hfopenllm_v2/thomas-yanxin/XinYuan-Qwen2-7B/f101bd15-ac61-49d4-beac-c89bc889b34b.json
new file mode 100644
index 000000000..eee3e1e34
--- /dev/null
+++ b/data/hfopenllm_v2/thomas-yanxin/XinYuan-Qwen2-7B/f101bd15-ac61-49d4-beac-c89bc889b34b.json
@@ -0,0 +1,132 @@
+{
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+  "source_metadata": {
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+    "source_type": "documentation",
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/thomas-yanxin/XinYuan-Qwen2.5-7B-0917/11caf1c1-e2a0-4abb-bb0e-d06853a06e4d.json b/data/hfopenllm_v2/thomas-yanxin/XinYuan-Qwen2.5-7B-0917/11caf1c1-e2a0-4abb-bb0e-d06853a06e4d.json
new file mode 100644
index 000000000..ff36d37cb
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+++ b/data/hfopenllm_v2/thomas-yanxin/XinYuan-Qwen2.5-7B-0917/11caf1c1-e2a0-4abb-bb0e-d06853a06e4d.json
@@ -0,0 +1,132 @@
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+    "developer": "thomas-yanxin",
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/tianyil1/MistralForCausalLM_Cal_DPO/f0b57a60-8402-4430-93f3-b846a94113f2.json b/data/hfopenllm_v2/tianyil1/MistralForCausalLM_Cal_DPO/f0b57a60-8402-4430-93f3-b846a94113f2.json
new file mode 100644
index 000000000..06e058942
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+++ b/data/hfopenllm_v2/tianyil1/MistralForCausalLM_Cal_DPO/f0b57a60-8402-4430-93f3-b846a94113f2.json
@@ -0,0 +1,132 @@
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/tiiuae/Falcon3-10B-Base/4e1ce0d3-f454-480b-a4f7-7aa827eaaf1a.json b/data/hfopenllm_v2/tiiuae/Falcon3-10B-Base/4e1ce0d3-f454-480b-a4f7-7aa827eaaf1a.json
deleted file mode 100644
index 1c8e9c328..000000000
--- a/data/hfopenllm_v2/tiiuae/Falcon3-10B-Base/4e1ce0d3-f454-480b-a4f7-7aa827eaaf1a.json
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new file mode 100644
index 000000000..35ab332bf
--- /dev/null
+++ b/data/hfopenllm_v2/tiiuae/Falcon3-10B-Base/50aa8077-4493-47a9-9cec-014c56343ecf.json
@@ -0,0 +1,132 @@
+{
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+    "source_type": "documentation",
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+        "hf_repo": "TAUR-Lab/MuSR"
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/tiiuae/Falcon3-10B-Instruct/5e70d00b-c822-4ad6-afe8-3756a7038c57.json b/data/hfopenllm_v2/tiiuae/Falcon3-10B-Instruct/5e70d00b-c822-4ad6-afe8-3756a7038c57.json
new file mode 100644
index 000000000..968a3c904
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+++ b/data/hfopenllm_v2/tiiuae/Falcon3-10B-Instruct/5e70d00b-c822-4ad6-afe8-3756a7038c57.json
@@ -0,0 +1,132 @@
+{
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+    "source_type": "documentation",
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+        "score_type": "continuous",
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+        "score": 0.4323
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+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4429
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/tiiuae/Falcon3-10B-Instruct/741838df-e2a3-4c54-84d3-fe491444071b.json b/data/hfopenllm_v2/tiiuae/Falcon3-10B-Instruct/741838df-e2a3-4c54-84d3-fe491444071b.json
deleted file mode 100644
index e5439c6ee..000000000
--- a/data/hfopenllm_v2/tiiuae/Falcon3-10B-Instruct/741838df-e2a3-4c54-84d3-fe491444071b.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/tiiuae_Falcon3-10B-Instruct/1762652580.566902",
-  "retrieved_timestamp": "1762652580.566903",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "tiiuae/Falcon3-10B-Instruct",
-    "developer": "tiiuae",
-    "inference_platform": "unknown",
-    "id": "tiiuae/Falcon3-10B-Instruct",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 10.306
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6170469398052084
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2764350453172205
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
-        "score": 0.3288590604026846
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-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.44290226063829785
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/tiiuae/Falcon3-1B-Base/1e11a625-87e1-49d0-94a6-8f9ec1f75fc3.json b/data/hfopenllm_v2/tiiuae/Falcon3-1B-Base/1e11a625-87e1-49d0-94a6-8f9ec1f75fc3.json
deleted file mode 100644
index e539cfc4f..000000000
--- a/data/hfopenllm_v2/tiiuae/Falcon3-1B-Base/1e11a625-87e1-49d0-94a6-8f9ec1f75fc3.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/tiiuae_Falcon3-1B-Base/1762652580.567122",
-  "retrieved_timestamp": "1762652580.567122",
-  "source_data": [
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-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "tiiuae/Falcon3-1B-Base",
-    "developer": "tiiuae",
-    "inference_platform": "unknown",
-    "id": "tiiuae/Falcon3-1B-Base",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 1.669
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-    {
-      "evaluation_name": "BBH",
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3571153918015637
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.03323262839879154
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.27936241610738255
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41473958333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.16082114361702127
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/tiiuae/Falcon3-1B-Base/8162ba41-e630-470f-a297-72fb9f2110fd.json b/data/hfopenllm_v2/tiiuae/Falcon3-1B-Base/8162ba41-e630-470f-a297-72fb9f2110fd.json
new file mode 100644
index 000000000..e1cc14037
--- /dev/null
+++ b/data/hfopenllm_v2/tiiuae/Falcon3-1B-Base/8162ba41-e630-470f-a297-72fb9f2110fd.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/tiiuae_Falcon3-1B-Base/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Falcon3-1B-Base",
+    "id": "tiiuae/Falcon3-1B-Base",
+    "developer": "tiiuae",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 1.669
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2428
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3571
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0332
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2794
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4147
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1608
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/tiiuae/Falcon3-1B-Instruct/60dd9d02-476f-459d-a41c-f89f82116dc3.json b/data/hfopenllm_v2/tiiuae/Falcon3-1B-Instruct/60dd9d02-476f-459d-a41c-f89f82116dc3.json
new file mode 100644
index 000000000..3a40efcbb
--- /dev/null
+++ b/data/hfopenllm_v2/tiiuae/Falcon3-1B-Instruct/60dd9d02-476f-459d-a41c-f89f82116dc3.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/tiiuae_Falcon3-1B-Instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Falcon3-1B-Instruct",
+    "id": "tiiuae/Falcon3-1B-Instruct",
+    "developer": "tiiuae",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 1.669
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5557
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3745
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0634
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2668
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4189
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1838
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/tiiuae/Falcon3-1B-Instruct/a060e2b0-d1ae-48b7-b8f9-c51fadc3e152.json b/data/hfopenllm_v2/tiiuae/Falcon3-1B-Instruct/a060e2b0-d1ae-48b7-b8f9-c51fadc3e152.json
deleted file mode 100644
index 803bb69da..000000000
--- a/data/hfopenllm_v2/tiiuae/Falcon3-1B-Instruct/a060e2b0-d1ae-48b7-b8f9-c51fadc3e152.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/tiiuae_Falcon3-1B-Instruct/1762652580.567335",
-  "retrieved_timestamp": "1762652580.567335",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "tiiuae/Falcon3-1B-Instruct",
-    "developer": "tiiuae",
-    "inference_platform": "unknown",
-    "id": "tiiuae/Falcon3-1B-Instruct",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 1.669
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5556678501930433
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3744535691366672
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.0634441087613293
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.26677852348993286
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4188958333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.18384308510638298
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/tiiuae/Falcon3-3B-Base/1b0d1ae7-322b-46d2-bc33-160f578499b1.json b/data/hfopenllm_v2/tiiuae/Falcon3-3B-Base/1b0d1ae7-322b-46d2-bc33-160f578499b1.json
deleted file mode 100644
index c90e8a42d..000000000
--- a/data/hfopenllm_v2/tiiuae/Falcon3-3B-Base/1b0d1ae7-322b-46d2-bc33-160f578499b1.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/tiiuae_Falcon3-3B-Base/1762652580.5675461",
-  "retrieved_timestamp": "1762652580.5675468",
-  "source_data": [
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-    "id": "tiiuae/Falcon3-3B-Base",
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-        "score_type": "continuous",
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-        "score_type": "continuous",
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
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-}
diff --git a/data/hfopenllm_v2/tiiuae/Falcon3-3B-Base/73e89f21-5799-4835-a0e0-a6664c0483da.json b/data/hfopenllm_v2/tiiuae/Falcon3-3B-Base/73e89f21-5799-4835-a0e0-a6664c0483da.json
new file mode 100644
index 000000000..81b06da6b
--- /dev/null
+++ b/data/hfopenllm_v2/tiiuae/Falcon3-3B-Base/73e89f21-5799-4835-a0e0-a6664c0483da.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/tiiuae_Falcon3-3B-Base/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Falcon3-3B-Base",
+    "id": "tiiuae/Falcon3-3B-Base",
+    "developer": "tiiuae",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 3.228
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2765
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4421
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1178
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.297
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.375
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2879
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/tiiuae/Falcon3-3B-Instruct/7aa3aa0e-3b5e-4c0c-a697-2e87859c44f2.json b/data/hfopenllm_v2/tiiuae/Falcon3-3B-Instruct/7aa3aa0e-3b5e-4c0c-a697-2e87859c44f2.json
deleted file mode 100644
index 170166df2..000000000
--- a/data/hfopenllm_v2/tiiuae/Falcon3-3B-Instruct/7aa3aa0e-3b5e-4c0c-a697-2e87859c44f2.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/tiiuae_Falcon3-3B-Instruct/1762652580.567748",
-  "retrieved_timestamp": "1762652580.567749",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
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-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "tiiuae/Falcon3-3B-Instruct",
-    "developer": "tiiuae",
-    "inference_platform": "unknown",
-    "id": "tiiuae/Falcon3-3B-Instruct",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 3.228
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6976755010040027
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-    },
-    {
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-      "metric_config": {
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-        "score_type": "continuous",
-        "min_score": 0,
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-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
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-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-    },
-    {
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-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.28859060402684567
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/tiiuae/Falcon3-3B-Instruct/7f355ad4-9156-486d-8cf4-723117da3bb8.json b/data/hfopenllm_v2/tiiuae/Falcon3-3B-Instruct/7f355ad4-9156-486d-8cf4-723117da3bb8.json
new file mode 100644
index 000000000..2d79d95ab
--- /dev/null
+++ b/data/hfopenllm_v2/tiiuae/Falcon3-3B-Instruct/7f355ad4-9156-486d-8cf4-723117da3bb8.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/tiiuae_Falcon3-3B-Instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Falcon3-3B-Instruct",
+    "id": "tiiuae/Falcon3-3B-Instruct",
+    "developer": "tiiuae",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 3.228
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6977
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4754
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.25
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2886
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4136
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3005
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/tiiuae/Falcon3-7B-Base/2420519c-81f1-43b3-9b76-af141d2574f4.json b/data/hfopenllm_v2/tiiuae/Falcon3-7B-Base/2420519c-81f1-43b3-9b76-af141d2574f4.json
deleted file mode 100644
index 48800f2ca..000000000
--- a/data/hfopenllm_v2/tiiuae/Falcon3-7B-Base/2420519c-81f1-43b3-9b76-af141d2574f4.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/tiiuae_Falcon3-7B-Base/1762652580.56796",
-  "retrieved_timestamp": "1762652580.567961",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "tiiuae/Falcon3-7B-Base",
-    "developer": "tiiuae",
-    "inference_platform": "unknown",
-    "id": "tiiuae/Falcon3-7B-Base",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 7.456
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.34159474638403875
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5098880466426711
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.19410876132930513
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3464765100671141
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.47020833333333334
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3910405585106383
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/tiiuae/Falcon3-7B-Base/4ccc6026-b639-488d-867f-d98ea49cf1b6.json b/data/hfopenllm_v2/tiiuae/Falcon3-7B-Base/4ccc6026-b639-488d-867f-d98ea49cf1b6.json
new file mode 100644
index 000000000..e683aaba0
--- /dev/null
+++ b/data/hfopenllm_v2/tiiuae/Falcon3-7B-Base/4ccc6026-b639-488d-867f-d98ea49cf1b6.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/tiiuae_Falcon3-7B-Base/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Falcon3-7B-Base",
+    "id": "tiiuae/Falcon3-7B-Base",
+    "developer": "tiiuae",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 7.456
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3416
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5099
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1941
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3465
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4702
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.391
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/tiiuae/Falcon3-7B-Instruct/3cf2e68e-4de0-436e-935e-86935e11f72f.json b/data/hfopenllm_v2/tiiuae/Falcon3-7B-Instruct/3cf2e68e-4de0-436e-935e-86935e11f72f.json
new file mode 100644
index 000000000..b188ad079
--- /dev/null
+++ b/data/hfopenllm_v2/tiiuae/Falcon3-7B-Instruct/3cf2e68e-4de0-436e-935e-86935e11f72f.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/tiiuae_Falcon3-7B-Instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Falcon3-7B-Instruct",
+    "id": "tiiuae/Falcon3-7B-Instruct",
+    "developer": "tiiuae",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 7.456
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7612
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5632
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4086
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3104
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4827
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4087
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/tiiuae/Falcon3-7B-Instruct/ed988bd0-76b0-4ab6-9c9e-5a5e0aefb936.json b/data/hfopenllm_v2/tiiuae/Falcon3-7B-Instruct/ed988bd0-76b0-4ab6-9c9e-5a5e0aefb936.json
deleted file mode 100644
index ccbce5989..000000000
--- a/data/hfopenllm_v2/tiiuae/Falcon3-7B-Instruct/ed988bd0-76b0-4ab6-9c9e-5a5e0aefb936.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/tiiuae_Falcon3-7B-Instruct/1762652580.568164",
-  "retrieved_timestamp": "1762652580.568164",
-  "source_data": [
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-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
-    "name": "tiiuae/Falcon3-7B-Instruct",
-    "developer": "tiiuae",
-    "inference_platform": "unknown",
-    "id": "tiiuae/Falcon3-7B-Instruct",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 7.456
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-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
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-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
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-        "min_score": 0,
-        "max_score": 1
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-        "min_score": 0,
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-      },
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-        "lower_is_better": false,
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4087433510638298
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/tiiuae/Falcon3-Mamba-7B-Base/766e6e63-5779-49cd-9e8c-2bc475c1356a.json b/data/hfopenllm_v2/tiiuae/Falcon3-Mamba-7B-Base/766e6e63-5779-49cd-9e8c-2bc475c1356a.json
deleted file mode 100644
index 2106881c0..000000000
--- a/data/hfopenllm_v2/tiiuae/Falcon3-Mamba-7B-Base/766e6e63-5779-49cd-9e8c-2bc475c1356a.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/tiiuae_Falcon3-Mamba-7B-Base/1762652580.568367",
-  "retrieved_timestamp": "1762652580.5683682",
-  "source_data": [
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-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
-    "name": "tiiuae/Falcon3-Mamba-7B-Base",
-    "developer": "tiiuae",
-    "inference_platform": "unknown",
-    "id": "tiiuae/Falcon3-Mamba-7B-Base",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "FalconMambaForCausalLM",
-      "params_billions": 7.273
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
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-        "score_type": "continuous",
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-    {
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-        "score_type": "continuous",
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-        "max_score": 1
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-      "score_details": {
-        "score": 0.30956375838926176
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30377327127659576
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/tiiuae/Falcon3-Mamba-7B-Base/e9e4ae5d-0dd1-463c-9f15-47cb21efb409.json b/data/hfopenllm_v2/tiiuae/Falcon3-Mamba-7B-Base/e9e4ae5d-0dd1-463c-9f15-47cb21efb409.json
new file mode 100644
index 000000000..98e4d109f
--- /dev/null
+++ b/data/hfopenllm_v2/tiiuae/Falcon3-Mamba-7B-Base/e9e4ae5d-0dd1-463c-9f15-47cb21efb409.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/tiiuae_Falcon3-Mamba-7B-Base/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Falcon3-Mamba-7B-Base",
+    "id": "tiiuae/Falcon3-Mamba-7B-Base",
+    "developer": "tiiuae",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "FalconMambaForCausalLM",
+      "params_billions": 7.273
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2891
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+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4699
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1941
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3096
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3431
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3038
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/tiiuae/Falcon3-Mamba-7B-Instruct/69491efc-0287-4288-bdf0-bcc57c53b94e.json b/data/hfopenllm_v2/tiiuae/Falcon3-Mamba-7B-Instruct/69491efc-0287-4288-bdf0-bcc57c53b94e.json
deleted file mode 100644
index a2d57a432..000000000
--- a/data/hfopenllm_v2/tiiuae/Falcon3-Mamba-7B-Instruct/69491efc-0287-4288-bdf0-bcc57c53b94e.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
-    "name": "tiiuae/Falcon3-Mamba-7B-Instruct",
-    "developer": "tiiuae",
-    "inference_platform": "unknown",
-    "id": "tiiuae/Falcon3-Mamba-7B-Instruct",
-    "additional_details": {
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diff --git a/data/hfopenllm_v2/tiiuae/Falcon3-Mamba-7B-Instruct/c57eb23a-5998-4ab9-9a98-39b1338f5ba6.json b/data/hfopenllm_v2/tiiuae/Falcon3-Mamba-7B-Instruct/c57eb23a-5998-4ab9-9a98-39b1338f5ba6.json
new file mode 100644
index 000000000..cfbd00438
--- /dev/null
+++ b/data/hfopenllm_v2/tiiuae/Falcon3-Mamba-7B-Instruct/c57eb23a-5998-4ab9-9a98-39b1338f5ba6.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/tiiuae_Falcon3-Mamba-7B-Instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Falcon3-Mamba-7B-Instruct",
+    "id": "tiiuae/Falcon3-Mamba-7B-Instruct",
+    "developer": "tiiuae",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "FalconMambaForCausalLM",
+      "params_billions": 7.273
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7165
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4679
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
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+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3037
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3869
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3369
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/tiiuae/falcon-11B/705a1ff4-2e40-4827-af54-099870fac588.json b/data/hfopenllm_v2/tiiuae/falcon-11B/705a1ff4-2e40-4827-af54-099870fac588.json
deleted file mode 100644
index 98ed412c9..000000000
--- a/data/hfopenllm_v2/tiiuae/falcon-11B/705a1ff4-2e40-4827-af54-099870fac588.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/tiiuae_falcon-11B/1762652580.568774",
-  "retrieved_timestamp": "1762652580.568774",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
-    "name": "tiiuae/falcon-11B",
-    "developer": "tiiuae",
-    "inference_platform": "unknown",
-    "id": "tiiuae/falcon-11B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "FalconForCausalLM",
-      "params_billions": 11.103
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-      "score_details": {
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-    },
-    {
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-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
-        "score": 0.2709731543624161
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.23894614361702127
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/tiiuae/falcon-11B/94fb625d-f58c-4f2e-8268-1dc4472c1cce.json b/data/hfopenllm_v2/tiiuae/falcon-11B/94fb625d-f58c-4f2e-8268-1dc4472c1cce.json
new file mode 100644
index 000000000..50405922d
--- /dev/null
+++ b/data/hfopenllm_v2/tiiuae/falcon-11B/94fb625d-f58c-4f2e-8268-1dc4472c1cce.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/tiiuae_falcon-11B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "falcon-11B",
+    "id": "tiiuae/falcon-11B",
+    "developer": "tiiuae",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "FalconForCausalLM",
+      "params_billions": 11.103
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3261
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+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4392
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0279
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.271
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3986
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2389
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/tiiuae/falcon-40b-instruct/1d6f8802-e9aa-471c-8fbc-1cd807357ab5.json b/data/hfopenllm_v2/tiiuae/falcon-40b-instruct/1d6f8802-e9aa-471c-8fbc-1cd807357ab5.json
deleted file mode 100644
index 6e0937a1e..000000000
--- a/data/hfopenllm_v2/tiiuae/falcon-40b-instruct/1d6f8802-e9aa-471c-8fbc-1cd807357ab5.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/tiiuae_falcon-40b-instruct/1762652580.569173",
-  "retrieved_timestamp": "1762652580.569173",
-  "source_data": [
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-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "tiiuae/falcon-40b-instruct",
-    "developer": "tiiuae",
-    "inference_platform": "unknown",
-    "id": "tiiuae/falcon-40b-instruct",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "FalconForCausalLM",
-      "params_billions": 40.0
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
-        "score": 0.019637462235649546
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-    },
-    {
-      "evaluation_name": "GPQA",
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-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.25
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37622916666666667
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2261469414893617
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/tiiuae/falcon-40b-instruct/4481ddef-2bef-4284-b56d-21054f5a9a97.json b/data/hfopenllm_v2/tiiuae/falcon-40b-instruct/4481ddef-2bef-4284-b56d-21054f5a9a97.json
new file mode 100644
index 000000000..fcd44b235
--- /dev/null
+++ b/data/hfopenllm_v2/tiiuae/falcon-40b-instruct/4481ddef-2bef-4284-b56d-21054f5a9a97.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/tiiuae_falcon-40b-instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "falcon-40b-instruct",
+    "id": "tiiuae/falcon-40b-instruct",
+    "developer": "tiiuae",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "FalconForCausalLM",
+      "params_billions": 40.0
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2454
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+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4054
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+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0196
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+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.25
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3762
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+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2261
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/tiiuae/falcon-40b/80048c4b-e97b-45c7-aa04-70ce69481a97.json b/data/hfopenllm_v2/tiiuae/falcon-40b/80048c4b-e97b-45c7-aa04-70ce69481a97.json
new file mode 100644
index 000000000..a3ef17532
--- /dev/null
+++ b/data/hfopenllm_v2/tiiuae/falcon-40b/80048c4b-e97b-45c7-aa04-70ce69481a97.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/tiiuae_falcon-40b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "falcon-40b",
+    "id": "tiiuae/falcon-40b",
+    "developer": "tiiuae",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "FalconForCausalLM",
+      "params_billions": 40.0
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2496
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4019
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0181
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2735
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3631
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2505
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/tiiuae/falcon-40b/cfdece82-631e-48b7-8232-91a8d9ccf65c.json b/data/hfopenllm_v2/tiiuae/falcon-40b/cfdece82-631e-48b7-8232-91a8d9ccf65c.json
deleted file mode 100644
index 08fbc75b9..000000000
--- a/data/hfopenllm_v2/tiiuae/falcon-40b/cfdece82-631e-48b7-8232-91a8d9ccf65c.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/tiiuae_falcon-40b/1762652580.568969",
-  "retrieved_timestamp": "1762652580.56897",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "tiiuae/falcon-40b",
-    "developer": "tiiuae",
-    "inference_platform": "unknown",
-    "id": "tiiuae/falcon-40b",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "FalconForCausalLM",
-      "params_billions": 40.0
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.24964538535530173
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4018532495595801
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.01812688821752266
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.27348993288590606
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.36314583333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.25049867021276595
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/tiiuae/falcon-7b-instruct/2b84722f-58fc-421d-ae1a-9e21ac0b4080.json b/data/hfopenllm_v2/tiiuae/falcon-7b-instruct/2b84722f-58fc-421d-ae1a-9e21ac0b4080.json
deleted file mode 100644
index 9b9f8ae64..000000000
--- a/data/hfopenllm_v2/tiiuae/falcon-7b-instruct/2b84722f-58fc-421d-ae1a-9e21ac0b4080.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/tiiuae_falcon-7b-instruct/1762652580.5696268",
-  "retrieved_timestamp": "1762652580.5696268",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "tiiuae/falcon-7b-instruct",
-    "developer": "tiiuae",
-    "inference_platform": "unknown",
-    "id": "tiiuae/falcon-7b-instruct",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "FalconForCausalLM",
-      "params_billions": 7.0
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.19688869976107837
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.32034221512355765
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.012084592145015106
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.24748322147651006
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3633645833333334
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1155252659574468
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/tiiuae/falcon-7b-instruct/d21a2557-2348-4087-b2a6-6e1c0101bccc.json b/data/hfopenllm_v2/tiiuae/falcon-7b-instruct/d21a2557-2348-4087-b2a6-6e1c0101bccc.json
new file mode 100644
index 000000000..556a2f3e8
--- /dev/null
+++ b/data/hfopenllm_v2/tiiuae/falcon-7b-instruct/d21a2557-2348-4087-b2a6-6e1c0101bccc.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/tiiuae_falcon-7b-instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "falcon-7b-instruct",
+    "id": "tiiuae/falcon-7b-instruct",
+    "developer": "tiiuae",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "FalconForCausalLM",
+      "params_billions": 7.0
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1969
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3203
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0121
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2475
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3634
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1155
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/tiiuae/falcon-7b/0e9837cb-4dda-4058-a89e-4127b5980eed.json b/data/hfopenllm_v2/tiiuae/falcon-7b/0e9837cb-4dda-4058-a89e-4127b5980eed.json
deleted file mode 100644
index 379d7aa27..000000000
--- a/data/hfopenllm_v2/tiiuae/falcon-7b/0e9837cb-4dda-4058-a89e-4127b5980eed.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/tiiuae_falcon-7b/1762652580.5693781",
-  "retrieved_timestamp": "1762652580.569379",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "tiiuae/falcon-7b",
-    "developer": "tiiuae",
-    "inference_platform": "unknown",
-    "id": "tiiuae/falcon-7b",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "FalconForCausalLM",
-      "params_billions": 7.0
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.182051401392749
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.32852446117322215
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.009818731117824773
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.24496644295302014
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37784375
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11253324468085106
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/tiiuae/falcon-7b/76290d4b-5526-400b-8ca4-24d220f7c02d.json b/data/hfopenllm_v2/tiiuae/falcon-7b/76290d4b-5526-400b-8ca4-24d220f7c02d.json
new file mode 100644
index 000000000..24fa62ffd
--- /dev/null
+++ b/data/hfopenllm_v2/tiiuae/falcon-7b/76290d4b-5526-400b-8ca4-24d220f7c02d.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/tiiuae_falcon-7b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "falcon-7b",
+    "id": "tiiuae/falcon-7b",
+    "developer": "tiiuae",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "FalconForCausalLM",
+      "params_billions": 7.0
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1821
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3285
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0098
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.245
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3778
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1125
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/tiiuae/falcon-mamba-7b/3a146535-09b3-4246-8bd8-0e984e0905b1.json b/data/hfopenllm_v2/tiiuae/falcon-mamba-7b/3a146535-09b3-4246-8bd8-0e984e0905b1.json
new file mode 100644
index 000000000..78cc692cd
--- /dev/null
+++ b/data/hfopenllm_v2/tiiuae/falcon-mamba-7b/3a146535-09b3-4246-8bd8-0e984e0905b1.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/tiiuae_falcon-mamba-7b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "falcon-mamba-7b",
+    "id": "tiiuae/falcon-mamba-7b",
+    "developer": "tiiuae",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "FalconMambaForCausalLM",
+      "params_billions": 7.0
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3336
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4285
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0446
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3104
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.421
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2302
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/tiiuae/falcon-mamba-7b/9878c419-fff8-402a-a315-70864e5ae60c.json b/data/hfopenllm_v2/tiiuae/falcon-mamba-7b/9878c419-fff8-402a-a315-70864e5ae60c.json
deleted file mode 100644
index 64638e51e..000000000
--- a/data/hfopenllm_v2/tiiuae/falcon-mamba-7b/9878c419-fff8-402a-a315-70864e5ae60c.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/tiiuae_falcon-mamba-7b/1762652580.569833",
-  "retrieved_timestamp": "1762652580.569834",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "tiiuae/falcon-mamba-7b",
-    "developer": "tiiuae",
-    "inference_platform": "unknown",
-    "id": "tiiuae/falcon-mamba-7b",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "FalconMambaForCausalLM",
-      "params_billions": 7.0
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3335760227307987
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4284854988604366
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.0445619335347432
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3104026845637584
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42103124999999997
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.23021941489361702
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/tinycompany/BiBo-v0.3/6683f95c-f97f-4117-b3c5-c1ed9587289e.json b/data/hfopenllm_v2/tinycompany/BiBo-v0.3/6683f95c-f97f-4117-b3c5-c1ed9587289e.json
new file mode 100644
index 000000000..731470475
--- /dev/null
+++ b/data/hfopenllm_v2/tinycompany/BiBo-v0.3/6683f95c-f97f-4117-b3c5-c1ed9587289e.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/tinycompany_BiBo-v0.3/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "BiBo-v0.3",
+    "id": "tinycompany/BiBo-v0.3",
+    "developer": "tinycompany",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 2.943
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5184
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4642
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0876
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2676
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.395
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2995
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/tinycompany/BiBo-v0.3/d0907791-99ed-4c01-8df4-80ab6ecc906f.json b/data/hfopenllm_v2/tinycompany/BiBo-v0.3/d0907791-99ed-4c01-8df4-80ab6ecc906f.json
deleted file mode 100644
index 23825b0d6..000000000
--- a/data/hfopenllm_v2/tinycompany/BiBo-v0.3/d0907791-99ed-4c01-8df4-80ab6ecc906f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/tinycompany_BiBo-v0.3/1762652580.570036",
-  "retrieved_timestamp": "1762652580.570036",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "tinycompany/BiBo-v0.3",
-    "developer": "tinycompany",
-    "inference_platform": "unknown",
-    "id": "tinycompany/BiBo-v0.3",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 2.943
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5183989592060179
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4641611514377814
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.08761329305135952
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2676174496644295
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3949895833333333
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.29945146276595747
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/tinycompany/BiBo-v0.7/8f186e60-a090-4b9e-9910-23054617fe57.json b/data/hfopenllm_v2/tinycompany/BiBo-v0.7/8f186e60-a090-4b9e-9910-23054617fe57.json
deleted file mode 100644
index 3f56aa20e..000000000
--- a/data/hfopenllm_v2/tinycompany/BiBo-v0.7/8f186e60-a090-4b9e-9910-23054617fe57.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/tinycompany_BiBo-v0.7/1762652580.570291",
-  "retrieved_timestamp": "1762652580.570291",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "tinycompany/BiBo-v0.7",
-    "developer": "tinycompany",
-    "inference_platform": "unknown",
-    "id": "tinycompany/BiBo-v0.7",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 2.943
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3738181358794665
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.43108167584271034
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.0823262839879154
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.27684563758389263
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.40441666666666665
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2650432180851064
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/tinycompany/BiBo-v0.7/bbe74b2b-9e13-4c13-92c8-618078667248.json b/data/hfopenllm_v2/tinycompany/BiBo-v0.7/bbe74b2b-9e13-4c13-92c8-618078667248.json
new file mode 100644
index 000000000..9034a4865
--- /dev/null
+++ b/data/hfopenllm_v2/tinycompany/BiBo-v0.7/bbe74b2b-9e13-4c13-92c8-618078667248.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/tinycompany_BiBo-v0.7/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "BiBo-v0.7",
+    "id": "tinycompany/BiBo-v0.7",
+    "developer": "tinycompany",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 2.943
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3738
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4311
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0823
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2768
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4044
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.265
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/tinycompany/ShawtyIsBad-bgem3/61876ce3-acc4-4619-b0c2-78ac4dff48ea.json b/data/hfopenllm_v2/tinycompany/ShawtyIsBad-bgem3/61876ce3-acc4-4619-b0c2-78ac4dff48ea.json
new file mode 100644
index 000000000..1ef8a0185
--- /dev/null
+++ b/data/hfopenllm_v2/tinycompany/ShawtyIsBad-bgem3/61876ce3-acc4-4619-b0c2-78ac4dff48ea.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/tinycompany_ShawtyIsBad-bgem3/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "ShawtyIsBad-bgem3",
+    "id": "tinycompany/ShawtyIsBad-bgem3",
+    "developer": "tinycompany",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 1.436
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2608
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3853
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0483
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3054
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3695
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2583
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/tinycompany/ShawtyIsBad-bgem3/ebf9067a-9836-4152-aa62-3ecbbc2459dc.json b/data/hfopenllm_v2/tinycompany/ShawtyIsBad-bgem3/ebf9067a-9836-4152-aa62-3ecbbc2459dc.json
deleted file mode 100644
index 8b338a6ea..000000000
--- a/data/hfopenllm_v2/tinycompany/ShawtyIsBad-bgem3/ebf9067a-9836-4152-aa62-3ecbbc2459dc.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/tinycompany_ShawtyIsBad-bgem3/1762652580.570496",
-  "retrieved_timestamp": "1762652580.570497",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "tinycompany/ShawtyIsBad-bgem3",
-    "developer": "tinycompany",
-    "inference_platform": "unknown",
-    "id": "tinycompany/ShawtyIsBad-bgem3",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 1.436
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2608113139802391
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.38529707856388956
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.04833836858006042
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3053691275167785
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.36946875
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.25831117021276595
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/tinycompany/ShawtyIsBad-e5-large/b304baee-c9de-4982-801d-2b9e7f1a7334.json b/data/hfopenllm_v2/tinycompany/ShawtyIsBad-e5-large/b304baee-c9de-4982-801d-2b9e7f1a7334.json
new file mode 100644
index 000000000..6ba06459f
--- /dev/null
+++ b/data/hfopenllm_v2/tinycompany/ShawtyIsBad-e5-large/b304baee-c9de-4982-801d-2b9e7f1a7334.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/tinycompany_ShawtyIsBad-e5-large/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "ShawtyIsBad-e5-large",
+    "id": "tinycompany/ShawtyIsBad-e5-large",
+    "developer": "tinycompany",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 1.436
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2468
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3873
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0453
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.302
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.372
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2569
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/tinycompany/ShawtyIsBad-e5-large/e8fe4b10-f6f3-4036-a3d9-77b8d28822ae.json b/data/hfopenllm_v2/tinycompany/ShawtyIsBad-e5-large/e8fe4b10-f6f3-4036-a3d9-77b8d28822ae.json
deleted file mode 100644
index 3f4115bae..000000000
--- a/data/hfopenllm_v2/tinycompany/ShawtyIsBad-e5-large/e8fe4b10-f6f3-4036-a3d9-77b8d28822ae.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/tinycompany_ShawtyIsBad-e5-large/1762652580.5709078",
-  "retrieved_timestamp": "1762652580.570912",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "tinycompany/ShawtyIsBad-e5-large",
-    "developer": "tinycompany",
-    "inference_platform": "unknown",
-    "id": "tinycompany/ShawtyIsBad-e5-large",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 1.436
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.24682287441765627
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3873483842947396
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.045317220543806644
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30201342281879195
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37204166666666666
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.25689827127659576
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/tinycompany/ShawtyIsBad-ib/6f27e746-1bdd-4cec-a955-c27f2f9900ef.json b/data/hfopenllm_v2/tinycompany/ShawtyIsBad-ib/6f27e746-1bdd-4cec-a955-c27f2f9900ef.json
new file mode 100644
index 000000000..44928ae48
--- /dev/null
+++ b/data/hfopenllm_v2/tinycompany/ShawtyIsBad-ib/6f27e746-1bdd-4cec-a955-c27f2f9900ef.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/tinycompany_ShawtyIsBad-ib/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "ShawtyIsBad-ib",
+    "id": "tinycompany/ShawtyIsBad-ib",
+    "developer": "tinycompany",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 1.436
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2565
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.388
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0491
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2987
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3641
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2581
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/tinycompany/ShawtyIsBad-ib/e2514850-3847-4fe7-abd8-240762ba507a.json b/data/hfopenllm_v2/tinycompany/ShawtyIsBad-ib/e2514850-3847-4fe7-abd8-240762ba507a.json
deleted file mode 100644
index a2ef27670..000000000
--- a/data/hfopenllm_v2/tinycompany/ShawtyIsBad-ib/e2514850-3847-4fe7-abd8-240762ba507a.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/tinycompany_ShawtyIsBad-ib/1762652580.571291",
-  "retrieved_timestamp": "1762652580.571292",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "tinycompany/ShawtyIsBad-ib",
-    "developer": "tinycompany",
-    "inference_platform": "unknown",
-    "id": "tinycompany/ShawtyIsBad-ib",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 1.436
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2565149359255664
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3880457874839807
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.04909365558912387
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2986577181208054
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3641041666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.258061835106383
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/tinycompany/ShawtyIsBad-nomic-moe/30637c5d-1bc0-49dc-8afd-335a9a66f196.json b/data/hfopenllm_v2/tinycompany/ShawtyIsBad-nomic-moe/30637c5d-1bc0-49dc-8afd-335a9a66f196.json
new file mode 100644
index 000000000..27d6d6ef9
--- /dev/null
+++ b/data/hfopenllm_v2/tinycompany/ShawtyIsBad-nomic-moe/30637c5d-1bc0-49dc-8afd-335a9a66f196.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/tinycompany_ShawtyIsBad-nomic-moe/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "ShawtyIsBad-nomic-moe",
+    "id": "tinycompany/ShawtyIsBad-nomic-moe",
+    "developer": "tinycompany",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 1.436
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2608
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3878
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0431
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.307
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3747
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2572
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/tinycompany/ShawtyIsBad-nomic-moe/7896d77a-e4c3-431b-9490-26d88664385b.json b/data/hfopenllm_v2/tinycompany/ShawtyIsBad-nomic-moe/7896d77a-e4c3-431b-9490-26d88664385b.json
deleted file mode 100644
index 665bfd376..000000000
--- a/data/hfopenllm_v2/tinycompany/ShawtyIsBad-nomic-moe/7896d77a-e4c3-431b-9490-26d88664385b.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/tinycompany_ShawtyIsBad-nomic-moe/1762652580.571543",
-  "retrieved_timestamp": "1762652580.5715442",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "tinycompany/ShawtyIsBad-nomic-moe",
-    "developer": "tinycompany",
-    "inference_platform": "unknown",
-    "id": "tinycompany/ShawtyIsBad-nomic-moe",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 1.436
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2607614462958284
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3878019225656597
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.04305135951661632
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3070469798657718
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37470833333333337
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2572307180851064
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/tinycompany/ShawtyIsBad-nomic1.5/169e29b6-50d8-456d-aa20-3fe2f3b19a1e.json b/data/hfopenllm_v2/tinycompany/ShawtyIsBad-nomic1.5/169e29b6-50d8-456d-aa20-3fe2f3b19a1e.json
new file mode 100644
index 000000000..354caa8ce
--- /dev/null
+++ b/data/hfopenllm_v2/tinycompany/ShawtyIsBad-nomic1.5/169e29b6-50d8-456d-aa20-3fe2f3b19a1e.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/tinycompany_ShawtyIsBad-nomic1.5/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "ShawtyIsBad-nomic1.5",
+    "id": "tinycompany/ShawtyIsBad-nomic1.5",
+    "developer": "tinycompany",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 1.436
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2544
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3874
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0431
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3112
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3628
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2567
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/tinycompany/ShawtyIsBad-nomic1.5/cbda0920-b298-4db2-806d-65b7d6550b30.json b/data/hfopenllm_v2/tinycompany/ShawtyIsBad-nomic1.5/cbda0920-b298-4db2-806d-65b7d6550b30.json
deleted file mode 100644
index 6ea86dedb..000000000
--- a/data/hfopenllm_v2/tinycompany/ShawtyIsBad-nomic1.5/cbda0920-b298-4db2-806d-65b7d6550b30.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/tinycompany_ShawtyIsBad-nomic1.5/1762652580.571785",
-  "retrieved_timestamp": "1762652580.571787",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "tinycompany/ShawtyIsBad-nomic1.5",
-    "developer": "tinycompany",
-    "inference_platform": "unknown",
-    "id": "tinycompany/ShawtyIsBad-nomic1.5",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 1.436
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2543916807404354
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3873599493472512
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.04305135951661632
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.311241610738255
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.36283333333333334
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.25673204787234044
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/tinycompany/SigmaBoi-base/427d32f7-190b-4005-b02c-6a8ce089dbbf.json b/data/hfopenllm_v2/tinycompany/SigmaBoi-base/427d32f7-190b-4005-b02c-6a8ce089dbbf.json
new file mode 100644
index 000000000..13015d742
--- /dev/null
+++ b/data/hfopenllm_v2/tinycompany/SigmaBoi-base/427d32f7-190b-4005-b02c-6a8ce089dbbf.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/tinycompany_SigmaBoi-base/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "SigmaBoi-base",
+    "id": "tinycompany/SigmaBoi-base",
+    "developer": "tinycompany",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 2.943
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2447
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4314
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0778
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2936
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4343
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2817
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/tinycompany/SigmaBoi-base/e523d43e-a198-4db5-9d91-c4959b136953.json b/data/hfopenllm_v2/tinycompany/SigmaBoi-base/e523d43e-a198-4db5-9d91-c4959b136953.json
deleted file mode 100644
index 8a389a9b7..000000000
--- a/data/hfopenllm_v2/tinycompany/SigmaBoi-base/e523d43e-a198-4db5-9d91-c4959b136953.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/tinycompany_SigmaBoi-base/1762652580.5720189",
-  "retrieved_timestamp": "1762652580.57202",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "tinycompany/SigmaBoi-base",
-    "developer": "tinycompany",
-    "inference_platform": "unknown",
-    "id": "tinycompany/SigmaBoi-base",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 2.943
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.24469961923252526
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4314363391906919
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.07779456193353475
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2936241610738255
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.43427083333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2816655585106383
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/tinycompany/SigmaBoi-bge-m3/383b2f80-774b-4f76-998a-9d3d20a265db.json b/data/hfopenllm_v2/tinycompany/SigmaBoi-bge-m3/383b2f80-774b-4f76-998a-9d3d20a265db.json
deleted file mode 100644
index deb75fa32..000000000
--- a/data/hfopenllm_v2/tinycompany/SigmaBoi-bge-m3/383b2f80-774b-4f76-998a-9d3d20a265db.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/tinycompany_SigmaBoi-bge-m3/1762652580.572246",
-  "retrieved_timestamp": "1762652580.572247",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "tinycompany/SigmaBoi-bge-m3",
-    "developer": "tinycompany",
-    "inference_platform": "unknown",
-    "id": "tinycompany/SigmaBoi-bge-m3",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 2.943
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.24502431326657714
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.43509173985964184
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.07628398791540786
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.29446308724832215
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4383020833333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.28191489361702127
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/tinycompany/SigmaBoi-bge-m3/de7551a8-63b1-4de3-899f-9d98cb985005.json b/data/hfopenllm_v2/tinycompany/SigmaBoi-bge-m3/de7551a8-63b1-4de3-899f-9d98cb985005.json
new file mode 100644
index 000000000..e2bc5d9e6
--- /dev/null
+++ b/data/hfopenllm_v2/tinycompany/SigmaBoi-bge-m3/de7551a8-63b1-4de3-899f-9d98cb985005.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/tinycompany_SigmaBoi-bge-m3/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "SigmaBoi-bge-m3",
+    "id": "tinycompany/SigmaBoi-bge-m3",
+    "developer": "tinycompany",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 2.943
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.245
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4351
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0763
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2945
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4383
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2819
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/tinycompany/SigmaBoi-bgem3/2b84e1be-81f6-474e-be5b-c5f4e60167fe.json b/data/hfopenllm_v2/tinycompany/SigmaBoi-bgem3/2b84e1be-81f6-474e-be5b-c5f4e60167fe.json
deleted file mode 100644
index 19d2b4cb3..000000000
--- a/data/hfopenllm_v2/tinycompany/SigmaBoi-bgem3/2b84e1be-81f6-474e-be5b-c5f4e60167fe.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/tinycompany_SigmaBoi-bgem3/1762652580.572469",
-  "retrieved_timestamp": "1762652580.57247",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "tinycompany/SigmaBoi-bgem3",
-    "developer": "tinycompany",
-    "inference_platform": "unknown",
-    "id": "tinycompany/SigmaBoi-bgem3",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 2.943
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.24502431326657714
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.43509173985964184
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
-        "score": 0.29446308724832215
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
-        "score": 0.4383020833333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.28191489361702127
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/tinycompany/SigmaBoi-bgem3/eff6f456-906d-4320-8e6f-667fbbf0574a.json b/data/hfopenllm_v2/tinycompany/SigmaBoi-bgem3/eff6f456-906d-4320-8e6f-667fbbf0574a.json
new file mode 100644
index 000000000..942fd8495
--- /dev/null
+++ b/data/hfopenllm_v2/tinycompany/SigmaBoi-bgem3/eff6f456-906d-4320-8e6f-667fbbf0574a.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/tinycompany_SigmaBoi-bgem3/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "SigmaBoi-bgem3",
+    "id": "tinycompany/SigmaBoi-bgem3",
+    "developer": "tinycompany",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 2.943
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.245
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4351
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0763
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2945
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4383
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2819
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/tinycompany/SigmaBoi-ib/55c0df8c-8dba-4508-8fe3-6ee726fa8a44.json b/data/hfopenllm_v2/tinycompany/SigmaBoi-ib/55c0df8c-8dba-4508-8fe3-6ee726fa8a44.json
deleted file mode 100644
index e2d09f7ac..000000000
--- a/data/hfopenllm_v2/tinycompany/SigmaBoi-ib/55c0df8c-8dba-4508-8fe3-6ee726fa8a44.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/tinycompany_SigmaBoi-ib/1762652580.572692",
-  "retrieved_timestamp": "1762652580.572693",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "tinycompany/SigmaBoi-ib",
-    "developer": "tinycompany",
-    "inference_platform": "unknown",
-    "id": "tinycompany/SigmaBoi-ib",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 2.943
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.24774708883540117
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4343622024096135
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.07401812688821752
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.287751677852349
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42896874999999995
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2824135638297872
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/tinycompany/SigmaBoi-ib/6cbd9a3a-7e06-4eee-af9e-6db4ff35c36a.json b/data/hfopenllm_v2/tinycompany/SigmaBoi-ib/6cbd9a3a-7e06-4eee-af9e-6db4ff35c36a.json
new file mode 100644
index 000000000..4fc792af1
--- /dev/null
+++ b/data/hfopenllm_v2/tinycompany/SigmaBoi-ib/6cbd9a3a-7e06-4eee-af9e-6db4ff35c36a.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/tinycompany_SigmaBoi-ib/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "SigmaBoi-ib",
+    "id": "tinycompany/SigmaBoi-ib",
+    "developer": "tinycompany",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 2.943
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2477
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4344
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.074
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2878
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.429
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2824
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/tinycompany/SigmaBoi-nomic-moe/2dff318a-f64f-407b-acd3-2b1020d3f5cd.json b/data/hfopenllm_v2/tinycompany/SigmaBoi-nomic-moe/2dff318a-f64f-407b-acd3-2b1020d3f5cd.json
deleted file mode 100644
index ff36fdcfc..000000000
--- a/data/hfopenllm_v2/tinycompany/SigmaBoi-nomic-moe/2dff318a-f64f-407b-acd3-2b1020d3f5cd.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/tinycompany_SigmaBoi-nomic-moe/1762652580.57291",
-  "retrieved_timestamp": "1762652580.572911",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "tinycompany/SigmaBoi-nomic-moe",
-    "developer": "tinycompany",
-    "inference_platform": "unknown",
-    "id": "tinycompany/SigmaBoi-nomic-moe",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 2.943
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2474223948013493
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.43341835214223373
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.07175226586102719
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.29278523489932884
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.43163541666666666
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.28366023936170215
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/tinycompany/SigmaBoi-nomic-moe/7e3d3803-c8d4-4025-8d12-c4c29c49c059.json b/data/hfopenllm_v2/tinycompany/SigmaBoi-nomic-moe/7e3d3803-c8d4-4025-8d12-c4c29c49c059.json
new file mode 100644
index 000000000..954ab673e
--- /dev/null
+++ b/data/hfopenllm_v2/tinycompany/SigmaBoi-nomic-moe/7e3d3803-c8d4-4025-8d12-c4c29c49c059.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/tinycompany_SigmaBoi-nomic-moe/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "SigmaBoi-nomic-moe",
+    "id": "tinycompany/SigmaBoi-nomic-moe",
+    "developer": "tinycompany",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 2.943
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2474
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4334
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0718
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2928
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4316
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2837
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/tinycompany/SigmaBoi-nomic1.5-fp32/39b85f29-d449-40d6-bb0e-cb4790a47cc7.json b/data/hfopenllm_v2/tinycompany/SigmaBoi-nomic1.5-fp32/39b85f29-d449-40d6-bb0e-cb4790a47cc7.json
deleted file mode 100644
index b2955700a..000000000
--- a/data/hfopenllm_v2/tinycompany/SigmaBoi-nomic1.5-fp32/39b85f29-d449-40d6-bb0e-cb4790a47cc7.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/tinycompany_SigmaBoi-nomic1.5-fp32/1762652580.573416",
-  "retrieved_timestamp": "1762652580.573416",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "tinycompany/SigmaBoi-nomic1.5-fp32",
-    "developer": "tinycompany",
-    "inference_platform": "unknown",
-    "id": "tinycompany/SigmaBoi-nomic1.5-fp32",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 2.943
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.24622335403396323
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.43705348265770266
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.08308157099697885
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2961409395973154
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4316041666666666
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.28407579787234044
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/tinycompany/SigmaBoi-nomic1.5-fp32/a43a6ca9-3543-44bc-8511-ee5c45552070.json b/data/hfopenllm_v2/tinycompany/SigmaBoi-nomic1.5-fp32/a43a6ca9-3543-44bc-8511-ee5c45552070.json
new file mode 100644
index 000000000..5ad5da701
--- /dev/null
+++ b/data/hfopenllm_v2/tinycompany/SigmaBoi-nomic1.5-fp32/a43a6ca9-3543-44bc-8511-ee5c45552070.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/tinycompany_SigmaBoi-nomic1.5-fp32/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "SigmaBoi-nomic1.5-fp32",
+    "id": "tinycompany/SigmaBoi-nomic1.5-fp32",
+    "developer": "tinycompany",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 2.943
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2462
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4371
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0831
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2961
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4316
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2841
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/tinycompany/SigmaBoi-nomic1.5/83f6fdec-9592-45a1-acdf-0ebbb400c8a4.json b/data/hfopenllm_v2/tinycompany/SigmaBoi-nomic1.5/83f6fdec-9592-45a1-acdf-0ebbb400c8a4.json
new file mode 100644
index 000000000..323eb5e1d
--- /dev/null
+++ b/data/hfopenllm_v2/tinycompany/SigmaBoi-nomic1.5/83f6fdec-9592-45a1-acdf-0ebbb400c8a4.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/tinycompany_SigmaBoi-nomic1.5/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "SigmaBoi-nomic1.5",
+    "id": "tinycompany/SigmaBoi-nomic1.5",
+    "developer": "tinycompany",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 2.943
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2447
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4371
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0831
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2961
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4316
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2841
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/tinycompany/SigmaBoi-nomic1.5/9ff57503-4fc4-4d21-8899-d691c912bff9.json b/data/hfopenllm_v2/tinycompany/SigmaBoi-nomic1.5/9ff57503-4fc4-4d21-8899-d691c912bff9.json
deleted file mode 100644
index 3fa4af4eb..000000000
--- a/data/hfopenllm_v2/tinycompany/SigmaBoi-nomic1.5/9ff57503-4fc4-4d21-8899-d691c912bff9.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/tinycompany_SigmaBoi-nomic1.5/1762652580.5731819",
-  "retrieved_timestamp": "1762652580.5731819",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "tinycompany/SigmaBoi-nomic1.5",
-    "developer": "tinycompany",
-    "inference_platform": "unknown",
-    "id": "tinycompany/SigmaBoi-nomic1.5",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 2.943
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.24469961923252526
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.43705348265770266
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.08308157099697885
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2961409395973154
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4316041666666666
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.28407579787234044
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/tinycompany/Tamed-Shawty/6d2370ea-55ab-4ae7-a11a-c1556e988349.json b/data/hfopenllm_v2/tinycompany/Tamed-Shawty/6d2370ea-55ab-4ae7-a11a-c1556e988349.json
deleted file mode 100644
index f14accfa0..000000000
--- a/data/hfopenllm_v2/tinycompany/Tamed-Shawty/6d2370ea-55ab-4ae7-a11a-c1556e988349.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/tinycompany_Tamed-Shawty/1762652580.573629",
-  "retrieved_timestamp": "1762652580.573629",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "tinycompany/Tamed-Shawty",
-    "developer": "tinycompany",
-    "inference_platform": "unknown",
-    "id": "tinycompany/Tamed-Shawty",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 1.562
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.38308576798450333
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3837059588999942
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.07175226586102719
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2625838926174497
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.35009375000000004
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2601396276595745
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/tinycompany/Tamed-Shawty/6e2d4174-303f-437b-9abb-26667b1dd04c.json b/data/hfopenllm_v2/tinycompany/Tamed-Shawty/6e2d4174-303f-437b-9abb-26667b1dd04c.json
new file mode 100644
index 000000000..7acd05352
--- /dev/null
+++ b/data/hfopenllm_v2/tinycompany/Tamed-Shawty/6e2d4174-303f-437b-9abb-26667b1dd04c.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/tinycompany_Tamed-Shawty/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Tamed-Shawty",
+    "id": "tinycompany/Tamed-Shawty",
+    "developer": "tinycompany",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 1.562
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3831
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3837
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0718
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2626
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3501
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2601
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/tklohj/WindyFloLLM/53f0c477-6f06-427a-be34-5b0131cbf9e1.json b/data/hfopenllm_v2/tklohj/WindyFloLLM/53f0c477-6f06-427a-be34-5b0131cbf9e1.json
deleted file mode 100644
index 825835fe7..000000000
--- a/data/hfopenllm_v2/tklohj/WindyFloLLM/53f0c477-6f06-427a-be34-5b0131cbf9e1.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/tklohj_WindyFloLLM/1762652580.573854",
-  "retrieved_timestamp": "1762652580.573855",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "tklohj/WindyFloLLM",
-    "developer": "tklohj",
-    "inference_platform": "unknown",
-    "id": "tklohj/WindyFloLLM",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 13.016
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.26685638550158025
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4636616007058791
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.015861027190332326
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2751677852348993
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4253125
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.25814494680851063
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/tklohj/WindyFloLLM/955e93d0-bec1-483c-b3f0-258e13d5cb16.json b/data/hfopenllm_v2/tklohj/WindyFloLLM/955e93d0-bec1-483c-b3f0-258e13d5cb16.json
new file mode 100644
index 000000000..7110c6cac
--- /dev/null
+++ b/data/hfopenllm_v2/tklohj/WindyFloLLM/955e93d0-bec1-483c-b3f0-258e13d5cb16.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/tklohj_WindyFloLLM/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "WindyFloLLM",
+    "id": "tklohj/WindyFloLLM",
+    "developer": "tklohj",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 13.016
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2669
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4637
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0159
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2752
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4253
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2581
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/togethercomputer/GPT-JT-6B-v1/3065ca79-c5e9-4875-9f81-4231e971d818.json b/data/hfopenllm_v2/togethercomputer/GPT-JT-6B-v1/3065ca79-c5e9-4875-9f81-4231e971d818.json
new file mode 100644
index 000000000..3b3a90f5a
--- /dev/null
+++ b/data/hfopenllm_v2/togethercomputer/GPT-JT-6B-v1/3065ca79-c5e9-4875-9f81-4231e971d818.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/togethercomputer_GPT-JT-6B-v1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "GPT-JT-6B-v1",
+    "id": "togethercomputer/GPT-JT-6B-v1",
+    "developer": "togethercomputer",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "GPTJForCausalLM",
+      "params_billions": 6.0
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2061
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3303
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0106
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2609
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3737
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1626
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/togethercomputer/GPT-NeoXT-Chat-Base-20B/3b5ca740-a1e5-4043-ad56-c772bbdd1b38.json b/data/hfopenllm_v2/togethercomputer/GPT-NeoXT-Chat-Base-20B/3b5ca740-a1e5-4043-ad56-c772bbdd1b38.json
deleted file mode 100644
index 4c9f20580..000000000
--- a/data/hfopenllm_v2/togethercomputer/GPT-NeoXT-Chat-Base-20B/3b5ca740-a1e5-4043-ad56-c772bbdd1b38.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/togethercomputer_GPT-NeoXT-Chat-Base-20B/1762652580.574344",
-  "retrieved_timestamp": "1762652580.5743449",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "togethercomputer/GPT-NeoXT-Chat-Base-20B",
-    "developer": "togethercomputer",
-    "inference_platform": "unknown",
-    "id": "togethercomputer/GPT-NeoXT-Chat-Base-20B",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "GPTNeoXForCausalLM",
-      "params_billions": 20.0
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.18297561581049393
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.33209702572173033
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.023413897280966767
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.25
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3460625
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11452792553191489
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/togethercomputer/GPT-NeoXT-Chat-Base-20B/fc7e485f-a416-420b-b43c-e45e502c4a8f.json b/data/hfopenllm_v2/togethercomputer/GPT-NeoXT-Chat-Base-20B/fc7e485f-a416-420b-b43c-e45e502c4a8f.json
new file mode 100644
index 000000000..c6293a07a
--- /dev/null
+++ b/data/hfopenllm_v2/togethercomputer/GPT-NeoXT-Chat-Base-20B/fc7e485f-a416-420b-b43c-e45e502c4a8f.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/togethercomputer_GPT-NeoXT-Chat-Base-20B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "GPT-NeoXT-Chat-Base-20B",
+    "id": "togethercomputer/GPT-NeoXT-Chat-Base-20B",
+    "developer": "togethercomputer",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "GPTNeoXForCausalLM",
+      "params_billions": 20.0
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.183
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3321
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0234
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.25
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3461
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1145
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/togethercomputer/LLaMA-2-7B-32K/53e882c6-6eb5-4202-a8d0-3a313556c9f4.json b/data/hfopenllm_v2/togethercomputer/LLaMA-2-7B-32K/53e882c6-6eb5-4202-a8d0-3a313556c9f4.json
new file mode 100644
index 000000000..f637076fd
--- /dev/null
+++ b/data/hfopenllm_v2/togethercomputer/LLaMA-2-7B-32K/53e882c6-6eb5-4202-a8d0-3a313556c9f4.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/togethercomputer_LLaMA-2-7B-32K/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "LLaMA-2-7B-32K",
+    "id": "togethercomputer/LLaMA-2-7B-32K",
+    "developer": "togethercomputer",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 7.0
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1865
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.34
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0144
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.25
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3754
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1768
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/togethercomputer/Llama-2-7B-32K-Instruct/a1609dba-826b-4246-9230-35bd68268fe4.json b/data/hfopenllm_v2/togethercomputer/Llama-2-7B-32K-Instruct/a1609dba-826b-4246-9230-35bd68268fe4.json
deleted file mode 100644
index 8c4002da9..000000000
--- a/data/hfopenllm_v2/togethercomputer/Llama-2-7B-32K-Instruct/a1609dba-826b-4246-9230-35bd68268fe4.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/togethercomputer_Llama-2-7B-32K-Instruct/1762652580.574983",
-  "retrieved_timestamp": "1762652580.5749838",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "togethercomputer/Llama-2-7B-32K-Instruct",
-    "developer": "togethercomputer",
-    "inference_platform": "unknown",
-    "id": "togethercomputer/Llama-2-7B-32K-Instruct",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 7.0
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2130003945087922
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.34434724239927544
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.015861027190332326
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2516778523489933
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.40559375
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.17810837765957446
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/togethercomputer/Llama-2-7B-32K-Instruct/ba715669-c0ed-471f-80a6-b67453fb4930.json b/data/hfopenllm_v2/togethercomputer/Llama-2-7B-32K-Instruct/ba715669-c0ed-471f-80a6-b67453fb4930.json
new file mode 100644
index 000000000..37237a2f5
--- /dev/null
+++ b/data/hfopenllm_v2/togethercomputer/Llama-2-7B-32K-Instruct/ba715669-c0ed-471f-80a6-b67453fb4930.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/togethercomputer_Llama-2-7B-32K-Instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-2-7B-32K-Instruct",
+    "id": "togethercomputer/Llama-2-7B-32K-Instruct",
+    "developer": "togethercomputer",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 7.0
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.213
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3443
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0159
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2517
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4056
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1781
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/togethercomputer/RedPajama-INCITE-7B-Base/316cab27-5cac-4d26-90ae-05d1fc3bd14a.json b/data/hfopenllm_v2/togethercomputer/RedPajama-INCITE-7B-Base/316cab27-5cac-4d26-90ae-05d1fc3bd14a.json
new file mode 100644
index 000000000..26801a949
--- /dev/null
+++ b/data/hfopenllm_v2/togethercomputer/RedPajama-INCITE-7B-Base/316cab27-5cac-4d26-90ae-05d1fc3bd14a.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/togethercomputer_RedPajama-INCITE-7B-Base/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "RedPajama-INCITE-7B-Base",
+    "id": "togethercomputer/RedPajama-INCITE-7B-Base",
+    "developer": "togethercomputer",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "GPTNeoXForCausalLM",
+      "params_billions": 7.0
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2082
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3195
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0159
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.255
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.362
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1197
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/togethercomputer/RedPajama-INCITE-7B-Base/8d69f711-74c9-4c1e-87dc-9b46f70674bb.json b/data/hfopenllm_v2/togethercomputer/RedPajama-INCITE-7B-Base/8d69f711-74c9-4c1e-87dc-9b46f70674bb.json
deleted file mode 100644
index 797ea3be2..000000000
--- a/data/hfopenllm_v2/togethercomputer/RedPajama-INCITE-7B-Base/8d69f711-74c9-4c1e-87dc-9b46f70674bb.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/togethercomputer_RedPajama-INCITE-7B-Base/1762652580.5751948",
-  "retrieved_timestamp": "1762652580.5751958",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "togethercomputer/RedPajama-INCITE-7B-Base",
-    "developer": "togethercomputer",
-    "inference_platform": "unknown",
-    "id": "togethercomputer/RedPajama-INCITE-7B-Base",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "GPTNeoXForCausalLM",
-      "params_billions": 7.0
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.20822971936683554
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diff --git a/data/hfopenllm_v2/togethercomputer/RedPajama-INCITE-7B-Chat/c3b6efec-5428-499f-8e6b-e3b2b87a0d15.json b/data/hfopenllm_v2/togethercomputer/RedPajama-INCITE-7B-Chat/c3b6efec-5428-499f-8e6b-e3b2b87a0d15.json
deleted file mode 100644
index dceab47a3..000000000
--- a/data/hfopenllm_v2/togethercomputer/RedPajama-INCITE-7B-Chat/c3b6efec-5428-499f-8e6b-e3b2b87a0d15.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "model_info": {
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-    "id": "togethercomputer/RedPajama-INCITE-7B-Chat",
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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diff --git a/data/hfopenllm_v2/togethercomputer/RedPajama-INCITE-7B-Chat/d2b0a35a-ea72-42f4-9f71-fffa1480bc22.json b/data/hfopenllm_v2/togethercomputer/RedPajama-INCITE-7B-Chat/d2b0a35a-ea72-42f4-9f71-fffa1480bc22.json
new file mode 100644
index 000000000..56a01fe9b
--- /dev/null
+++ b/data/hfopenllm_v2/togethercomputer/RedPajama-INCITE-7B-Chat/d2b0a35a-ea72-42f4-9f71-fffa1480bc22.json
@@ -0,0 +1,132 @@
+{
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+  "evaluation_id": "hfopenllm_v2/togethercomputer_RedPajama-INCITE-7B-Chat/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "RedPajama-INCITE-7B-Chat",
+    "id": "togethercomputer/RedPajama-INCITE-7B-Chat",
+    "developer": "togethercomputer",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "GPTNeoXForCausalLM",
+      "params_billions": 7.0
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1558
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3175
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+    },
+    {
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2525
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3448
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1121
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/togethercomputer/RedPajama-INCITE-7B-Instruct/bf3eabff-fbf7-421c-9e04-548accc7678c.json b/data/hfopenllm_v2/togethercomputer/RedPajama-INCITE-7B-Instruct/bf3eabff-fbf7-421c-9e04-548accc7678c.json
new file mode 100644
index 000000000..ac9fb012b
--- /dev/null
+++ b/data/hfopenllm_v2/togethercomputer/RedPajama-INCITE-7B-Instruct/bf3eabff-fbf7-421c-9e04-548accc7678c.json
@@ -0,0 +1,132 @@
+{
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+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "RedPajama-INCITE-7B-Instruct",
+    "id": "togethercomputer/RedPajama-INCITE-7B-Instruct",
+    "developer": "togethercomputer",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "GPTNeoXForCausalLM",
+      "params_billions": 7.0
+    }
+  },
+  "evaluation_results": [
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2055
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3377
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
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+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3685
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1272
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/togethercomputer/RedPajama-INCITE-7B-Instruct/d8cef007-51ab-4793-9a74-d9f29d6c0f27.json b/data/hfopenllm_v2/togethercomputer/RedPajama-INCITE-7B-Instruct/d8cef007-51ab-4793-9a74-d9f29d6c0f27.json
deleted file mode 100644
index 745ec09b8..000000000
--- a/data/hfopenllm_v2/togethercomputer/RedPajama-INCITE-7B-Instruct/d8cef007-51ab-4793-9a74-d9f29d6c0f27.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
-    "name": "togethercomputer/RedPajama-INCITE-7B-Instruct",
-    "developer": "togethercomputer",
-    "inference_platform": "unknown",
-    "id": "togethercomputer/RedPajama-INCITE-7B-Instruct",
-    "additional_details": {
-      "precision": "float16",
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
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-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-  ]
-}
diff --git a/data/hfopenllm_v2/togethercomputer/RedPajama-INCITE-Base-3B-v1/b7eeedd8-33ef-46b3-a3fb-6ac87247bc4e.json b/data/hfopenllm_v2/togethercomputer/RedPajama-INCITE-Base-3B-v1/b7eeedd8-33ef-46b3-a3fb-6ac87247bc4e.json
new file mode 100644
index 000000000..dff22f907
--- /dev/null
+++ b/data/hfopenllm_v2/togethercomputer/RedPajama-INCITE-Base-3B-v1/b7eeedd8-33ef-46b3-a3fb-6ac87247bc4e.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/togethercomputer_RedPajama-INCITE-Base-3B-v1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "RedPajama-INCITE-Base-3B-v1",
+    "id": "togethercomputer/RedPajama-INCITE-Base-3B-v1",
+    "developer": "togethercomputer",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "GPTNeoXForCausalLM",
+      "params_billions": 3.0
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2294
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.306
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2433
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3739
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1111
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/togethercomputer/RedPajama-INCITE-Base-3B-v1/ba5c73b3-4785-44ef-8bfb-cfbbbdc16a91.json b/data/hfopenllm_v2/togethercomputer/RedPajama-INCITE-Base-3B-v1/ba5c73b3-4785-44ef-8bfb-cfbbbdc16a91.json
deleted file mode 100644
index 05f94ec0d..000000000
--- a/data/hfopenllm_v2/togethercomputer/RedPajama-INCITE-Base-3B-v1/ba5c73b3-4785-44ef-8bfb-cfbbbdc16a91.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/togethercomputer_RedPajama-INCITE-Base-3B-v1/1762652580.575899",
-  "retrieved_timestamp": "1762652580.5758998",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "togethercomputer/RedPajama-INCITE-Base-3B-v1",
-    "developer": "togethercomputer",
-    "inference_platform": "unknown",
-    "id": "togethercomputer/RedPajama-INCITE-Base-3B-v1",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "GPTNeoXForCausalLM",
-      "params_billions": 3.0
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.22936253584932426
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3060403878987615
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.014350453172205438
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.24328859060402686
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37387499999999996
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11112034574468085
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/togethercomputer/RedPajama-INCITE-Chat-3B-v1/9a0e6d99-4f86-4ce8-9b5a-f7b6c0fbd710.json b/data/hfopenllm_v2/togethercomputer/RedPajama-INCITE-Chat-3B-v1/9a0e6d99-4f86-4ce8-9b5a-f7b6c0fbd710.json
deleted file mode 100644
index f37c18522..000000000
--- a/data/hfopenllm_v2/togethercomputer/RedPajama-INCITE-Chat-3B-v1/9a0e6d99-4f86-4ce8-9b5a-f7b6c0fbd710.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/togethercomputer_RedPajama-INCITE-Chat-3B-v1/1762652580.5763452",
-  "retrieved_timestamp": "1762652580.5763478",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "togethercomputer/RedPajama-INCITE-Chat-3B-v1",
-    "developer": "togethercomputer",
-    "inference_platform": "unknown",
-    "id": "togethercomputer/RedPajama-INCITE-Chat-3B-v1",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "GPTNeoXForCausalLM",
-      "params_billions": 3.0
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.16521496296493304
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.32166937119202416
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.00906344410876133
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.24412751677852348
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3684479166666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11269946808510638
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/togethercomputer/RedPajama-INCITE-Chat-3B-v1/b1c41abe-e7f6-4229-b776-8ed0b5f91bd4.json b/data/hfopenllm_v2/togethercomputer/RedPajama-INCITE-Chat-3B-v1/b1c41abe-e7f6-4229-b776-8ed0b5f91bd4.json
new file mode 100644
index 000000000..28081c01d
--- /dev/null
+++ b/data/hfopenllm_v2/togethercomputer/RedPajama-INCITE-Chat-3B-v1/b1c41abe-e7f6-4229-b776-8ed0b5f91bd4.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/togethercomputer_RedPajama-INCITE-Chat-3B-v1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "RedPajama-INCITE-Chat-3B-v1",
+    "id": "togethercomputer/RedPajama-INCITE-Chat-3B-v1",
+    "developer": "togethercomputer",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "GPTNeoXForCausalLM",
+      "params_billions": 3.0
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1652
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3217
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0091
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2441
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3684
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1127
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/togethercomputer/RedPajama-INCITE-Instruct-3B-v1/5b769770-3b63-4863-a723-95212e2be40e.json b/data/hfopenllm_v2/togethercomputer/RedPajama-INCITE-Instruct-3B-v1/5b769770-3b63-4863-a723-95212e2be40e.json
new file mode 100644
index 000000000..503ea0a24
--- /dev/null
+++ b/data/hfopenllm_v2/togethercomputer/RedPajama-INCITE-Instruct-3B-v1/5b769770-3b63-4863-a723-95212e2be40e.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/togethercomputer_RedPajama-INCITE-Instruct-3B-v1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "RedPajama-INCITE-Instruct-3B-v1",
+    "id": "togethercomputer/RedPajama-INCITE-Instruct-3B-v1",
+    "developer": "togethercomputer",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "GPTNeoXForCausalLM",
+      "params_billions": 3.0
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2124
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3146
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0128
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2475
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3886
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.111
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/togethercomputer/RedPajama-INCITE-Instruct-3B-v1/e78a3888-33c7-4264-a01e-b0661504322f.json b/data/hfopenllm_v2/togethercomputer/RedPajama-INCITE-Instruct-3B-v1/e78a3888-33c7-4264-a01e-b0661504322f.json
deleted file mode 100644
index 1c87b6d1d..000000000
--- a/data/hfopenllm_v2/togethercomputer/RedPajama-INCITE-Instruct-3B-v1/e78a3888-33c7-4264-a01e-b0661504322f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/togethercomputer_RedPajama-INCITE-Instruct-3B-v1/1762652580.576687",
-  "retrieved_timestamp": "1762652580.576688",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "togethercomputer/RedPajama-INCITE-Instruct-3B-v1",
-    "developer": "togethercomputer",
-    "inference_platform": "unknown",
-    "id": "togethercomputer/RedPajama-INCITE-Instruct-3B-v1",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "GPTNeoXForCausalLM",
-      "params_billions": 3.0
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2124263620526869
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3146017752057237
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.01283987915407855
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.24748322147651006
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.38860416666666664
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
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diff --git a/data/hfopenllm_v2/tokyotech-llm/Llama-3-Swallow-8B-Instruct-v0.1/f2264b41-efa5-4278-91fd-2f454aa91c61.json b/data/hfopenllm_v2/tokyotech-llm/Llama-3-Swallow-8B-Instruct-v0.1/f2264b41-efa5-4278-91fd-2f454aa91c61.json
new file mode 100644
index 000000000..d7ea093eb
--- /dev/null
+++ b/data/hfopenllm_v2/tokyotech-llm/Llama-3-Swallow-8B-Instruct-v0.1/f2264b41-efa5-4278-91fd-2f454aa91c61.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/tokyotech-llm_Llama-3-Swallow-8B-Instruct-v0.1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-3-Swallow-8B-Instruct-v0.1",
+    "id": "tokyotech-llm/Llama-3-Swallow-8B-Instruct-v0.1",
+    "developer": "tokyotech-llm",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5508
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5009
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4357
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3088
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/tokyotech-llm/Llama-3-Swallow-8B-Instruct-v0.1/f6729e0a-559f-4087-af75-37634bf0af62.json b/data/hfopenllm_v2/tokyotech-llm/Llama-3-Swallow-8B-Instruct-v0.1/f6729e0a-559f-4087-af75-37634bf0af62.json
deleted file mode 100644
index 7df4e6b1d..000000000
--- a/data/hfopenllm_v2/tokyotech-llm/Llama-3-Swallow-8B-Instruct-v0.1/f6729e0a-559f-4087-af75-37634bf0af62.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/tokyotech-llm_Llama-3-Swallow-8B-Instruct-v0.1/1762652580.5769222",
-  "retrieved_timestamp": "1762652580.576923",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "tokyotech-llm/Llama-3-Swallow-8B-Instruct-v0.1",
-    "developer": "tokyotech-llm",
-    "inference_platform": "unknown",
-    "id": "tokyotech-llm/Llama-3-Swallow-8B-Instruct-v0.1",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-      },
-      "score_details": {
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-    {
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-        "score_type": "continuous",
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-        "max_score": 1
-      },
-      "score_details": {
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-    {
-      "evaluation_name": "MATH Level 5",
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-        "lower_is_better": false,
-        "score_type": "continuous",
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3087599734042553
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-    }
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-}
diff --git a/data/hfopenllm_v2/tomasmcm/sky-t1-coder-32b-flash/1229310f-22aa-4ef9-b354-71fa249569f7.json b/data/hfopenllm_v2/tomasmcm/sky-t1-coder-32b-flash/1229310f-22aa-4ef9-b354-71fa249569f7.json
deleted file mode 100644
index 9e453d37c..000000000
--- a/data/hfopenllm_v2/tomasmcm/sky-t1-coder-32b-flash/1229310f-22aa-4ef9-b354-71fa249569f7.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/tomasmcm_sky-t1-coder-32b-flash/1762652580.577295",
-  "retrieved_timestamp": "1762652580.5772958",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "tomasmcm/sky-t1-coder-32b-flash",
-    "developer": "tomasmcm",
-    "inference_platform": "unknown",
-    "id": "tomasmcm/sky-t1-coder-32b-flash",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 32.764
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
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-    },
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-        "max_score": 1
-      },
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-      },
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-}
diff --git a/data/hfopenllm_v2/tomasmcm/sky-t1-coder-32b-flash/5c3484b4-6faa-47fd-a1a2-881898450f79.json b/data/hfopenllm_v2/tomasmcm/sky-t1-coder-32b-flash/5c3484b4-6faa-47fd-a1a2-881898450f79.json
new file mode 100644
index 000000000..49195f496
--- /dev/null
+++ b/data/hfopenllm_v2/tomasmcm/sky-t1-coder-32b-flash/5c3484b4-6faa-47fd-a1a2-881898450f79.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/tomasmcm_sky-t1-coder-32b-flash/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "sky-t1-coder-32b-flash",
+    "id": "tomasmcm/sky-t1-coder-32b-flash",
+    "developer": "tomasmcm",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 32.764
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.778
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6822
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5423
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3683
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4233
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5782
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/trthminh1112/autotrain-llama32-1b-finetune/326b95f8-9eae-4064-a261-077a957e233c.json b/data/hfopenllm_v2/trthminh1112/autotrain-llama32-1b-finetune/326b95f8-9eae-4064-a261-077a957e233c.json
new file mode 100644
index 000000000..2a5e33192
--- /dev/null
+++ b/data/hfopenllm_v2/trthminh1112/autotrain-llama32-1b-finetune/326b95f8-9eae-4064-a261-077a957e233c.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/trthminh1112_autotrain-llama32-1b-finetune/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "autotrain-llama32-1b-finetune",
+    "id": "trthminh1112/autotrain-llama32-1b-finetune",
+    "developer": "trthminh1112",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 1.1
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1769
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2996
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0151
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+    },
+    {
+      "evaluation_name": "GPQA",
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+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2567
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3513
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1099
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/tugstugi/Qwen2.5-7B-Instruct-QwQ-v0.1/1cfb7d70-b903-48ae-bdb2-31c838bdabc8.json b/data/hfopenllm_v2/tugstugi/Qwen2.5-7B-Instruct-QwQ-v0.1/1cfb7d70-b903-48ae-bdb2-31c838bdabc8.json
deleted file mode 100644
index fdefdf254..000000000
--- a/data/hfopenllm_v2/tugstugi/Qwen2.5-7B-Instruct-QwQ-v0.1/1cfb7d70-b903-48ae-bdb2-31c838bdabc8.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/tugstugi_Qwen2.5-7B-Instruct-QwQ-v0.1/1762652580.577852",
-  "retrieved_timestamp": "1762652580.577852",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "tugstugi/Qwen2.5-7B-Instruct-QwQ-v0.1",
-    "developer": "tugstugi",
-    "inference_platform": "unknown",
-    "id": "tugstugi/Qwen2.5-7B-Instruct-QwQ-v0.1",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.616
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6017300761978217
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5101062293388118
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3814199395770393
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2684563758389262
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3794270833333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4080784574468085
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/tugstugi/Qwen2.5-7B-Instruct-QwQ-v0.1/c1c7336e-b8bf-4a69-a586-c1a224ba8a65.json b/data/hfopenllm_v2/tugstugi/Qwen2.5-7B-Instruct-QwQ-v0.1/c1c7336e-b8bf-4a69-a586-c1a224ba8a65.json
new file mode 100644
index 000000000..7f871c221
--- /dev/null
+++ b/data/hfopenllm_v2/tugstugi/Qwen2.5-7B-Instruct-QwQ-v0.1/c1c7336e-b8bf-4a69-a586-c1a224ba8a65.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/tugstugi_Qwen2.5-7B-Instruct-QwQ-v0.1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-7B-Instruct-QwQ-v0.1",
+    "id": "tugstugi/Qwen2.5-7B-Instruct-QwQ-v0.1",
+    "developer": "tugstugi",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6017
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5101
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3814
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2685
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3794
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4081
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/universalml/NepaliGPT-2.0/89e55482-b762-4f5d-a021-211048719bdc.json b/data/hfopenllm_v2/universalml/NepaliGPT-2.0/89e55482-b762-4f5d-a021-211048719bdc.json
new file mode 100644
index 000000000..ae1d50c1b
--- /dev/null
+++ b/data/hfopenllm_v2/universalml/NepaliGPT-2.0/89e55482-b762-4f5d-a021-211048719bdc.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/universalml_NepaliGPT-2.0/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "NepaliGPT-2.0",
+    "id": "universalml/NepaliGPT-2.0",
+    "developer": "universalml",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0365
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.466
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0045
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.281
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4657
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.33
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/unsloth/Llama-3.2-1B-Instruct-no-system-message/81018e12-63f8-4ad8-87c4-181a13202497.json b/data/hfopenllm_v2/unsloth/Llama-3.2-1B-Instruct-no-system-message/81018e12-63f8-4ad8-87c4-181a13202497.json
new file mode 100644
index 000000000..71f6ae6c9
--- /dev/null
+++ b/data/hfopenllm_v2/unsloth/Llama-3.2-1B-Instruct-no-system-message/81018e12-63f8-4ad8-87c4-181a13202497.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/unsloth_Llama-3.2-1B-Instruct-no-system-message/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-3.2-1B-Instruct-no-system-message",
+    "id": "unsloth/Llama-3.2-1B-Instruct-no-system-message",
+    "developer": "unsloth",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 1.236
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.565
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3544
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0755
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2727
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3341
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1669
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/unsloth/Llama-3.2-1B-Instruct-no-system-message/d8d52ed0-2eb6-4be3-9e4e-346a6b19ceca.json b/data/hfopenllm_v2/unsloth/Llama-3.2-1B-Instruct-no-system-message/d8d52ed0-2eb6-4be3-9e4e-346a6b19ceca.json
deleted file mode 100644
index 032a0e11b..000000000
--- a/data/hfopenllm_v2/unsloth/Llama-3.2-1B-Instruct-no-system-message/d8d52ed0-2eb6-4be3-9e4e-346a6b19ceca.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/unsloth_Llama-3.2-1B-Instruct-no-system-message/1762652580.578731",
-  "retrieved_timestamp": "1762652580.578733",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "unsloth/Llama-3.2-1B-Instruct-no-system-message",
-    "developer": "unsloth",
-    "inference_platform": "unknown",
-    "id": "unsloth/Llama-3.2-1B-Instruct-no-system-message",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 1.236
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5649853499824908
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3543744783345775
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.0755287009063444
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2726510067114094
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3340625
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1668882978723404
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/unsloth/Llama-3.2-1B-Instruct/25ec2dbd-465f-40a9-80f0-e4001e621303.json b/data/hfopenllm_v2/unsloth/Llama-3.2-1B-Instruct/25ec2dbd-465f-40a9-80f0-e4001e621303.json
deleted file mode 100644
index 7aec79127..000000000
--- a/data/hfopenllm_v2/unsloth/Llama-3.2-1B-Instruct/25ec2dbd-465f-40a9-80f0-e4001e621303.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/unsloth_Llama-3.2-1B-Instruct/1762652580.578335",
-  "retrieved_timestamp": "1762652580.578335",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "unsloth/Llama-3.2-1B-Instruct",
-    "developer": "unsloth",
-    "inference_platform": "unknown",
-    "id": "unsloth/Llama-3.2-1B-Instruct",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 1.236
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5809973093613834
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.34847036874553655
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2676174496644295
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3196145833333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.17420212765957446
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/unsloth/Llama-3.2-1B-Instruct/5b09e8cb-aaf1-48fd-a2f4-11a8d4bc9a4d.json b/data/hfopenllm_v2/unsloth/Llama-3.2-1B-Instruct/5b09e8cb-aaf1-48fd-a2f4-11a8d4bc9a4d.json
new file mode 100644
index 000000000..1bdf24114
--- /dev/null
+++ b/data/hfopenllm_v2/unsloth/Llama-3.2-1B-Instruct/5b09e8cb-aaf1-48fd-a2f4-11a8d4bc9a4d.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/unsloth_Llama-3.2-1B-Instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-3.2-1B-Instruct",
+    "id": "unsloth/Llama-3.2-1B-Instruct",
+    "developer": "unsloth",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 1.236
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.581
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3485
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0823
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2676
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3196
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1742
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/unsloth/Phi-3-mini-4k-instruct/36d52065-1de2-4661-bf23-85276a8ede2f.json b/data/hfopenllm_v2/unsloth/Phi-3-mini-4k-instruct/36d52065-1de2-4661-bf23-85276a8ede2f.json
deleted file mode 100644
index 0aa5c4366..000000000
--- a/data/hfopenllm_v2/unsloth/Phi-3-mini-4k-instruct/36d52065-1de2-4661-bf23-85276a8ede2f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/unsloth_Phi-3-mini-4k-instruct/1762652580.579097",
-  "retrieved_timestamp": "1762652580.5790982",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "unsloth/Phi-3-mini-4k-instruct",
-    "developer": "unsloth",
-    "inference_platform": "unknown",
-    "id": "unsloth/Phi-3-mini-4k-instruct",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 3.821
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.544027624480822
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5500239467441027
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.16389728096676737
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.32298657718120805
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42841666666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4030917553191489
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/unsloth/Phi-3-mini-4k-instruct/8b344f21-9038-4b15-aba8-308aa62e4b39.json b/data/hfopenllm_v2/unsloth/Phi-3-mini-4k-instruct/8b344f21-9038-4b15-aba8-308aa62e4b39.json
new file mode 100644
index 000000000..0e0bd0c1a
--- /dev/null
+++ b/data/hfopenllm_v2/unsloth/Phi-3-mini-4k-instruct/8b344f21-9038-4b15-aba8-308aa62e4b39.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/unsloth_Phi-3-mini-4k-instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Phi-3-mini-4k-instruct",
+    "id": "unsloth/Phi-3-mini-4k-instruct",
+    "developer": "unsloth",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 3.821
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.544
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.55
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1639
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.323
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4284
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4031
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/unsloth/phi-4-bnb-4bit/68ca8f7c-88c2-4ede-bcb7-d4ae23429d8f.json b/data/hfopenllm_v2/unsloth/phi-4-bnb-4bit/68ca8f7c-88c2-4ede-bcb7-d4ae23429d8f.json
new file mode 100644
index 000000000..04ac53e78
--- /dev/null
+++ b/data/hfopenllm_v2/unsloth/phi-4-bnb-4bit/68ca8f7c-88c2-4ede-bcb7-d4ae23429d8f.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/unsloth_phi-4-bnb-4bit/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "phi-4-bnb-4bit",
+    "id": "unsloth/phi-4-bnb-4bit",
+    "developer": "unsloth",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.058
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.673
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.677
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4607
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3381
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4007
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5256
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/unsloth/phi-4-unsloth-bnb-4bit/df557f25-5505-49dd-a0cb-88fff601c6e2.json b/data/hfopenllm_v2/unsloth/phi-4-unsloth-bnb-4bit/df557f25-5505-49dd-a0cb-88fff601c6e2.json
new file mode 100644
index 000000000..5a64d5d96
--- /dev/null
+++ b/data/hfopenllm_v2/unsloth/phi-4-unsloth-bnb-4bit/df557f25-5505-49dd-a0cb-88fff601c6e2.json
@@ -0,0 +1,132 @@
+{
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/unsloth/phi-4/a50bf387-bf34-490f-979a-b6217a85a1bd.json b/data/hfopenllm_v2/unsloth/phi-4/a50bf387-bf34-490f-979a-b6217a85a1bd.json
new file mode 100644
index 000000000..cbdc7e8b4
--- /dev/null
+++ b/data/hfopenllm_v2/unsloth/phi-4/a50bf387-bf34-490f-979a-b6217a85a1bd.json
@@ -0,0 +1,132 @@
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/upstage/SOLAR-10.7B-Instruct-v1.0/89264aa0-3bed-41d3-b171-2a5434cc990f.json b/data/hfopenllm_v2/upstage/SOLAR-10.7B-Instruct-v1.0/89264aa0-3bed-41d3-b171-2a5434cc990f.json
new file mode 100644
index 000000000..efc06b49f
--- /dev/null
+++ b/data/hfopenllm_v2/upstage/SOLAR-10.7B-Instruct-v1.0/89264aa0-3bed-41d3-b171-2a5434cc990f.json
@@ -0,0 +1,132 @@
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/upstage/SOLAR-10.7B-Instruct-v1.0/9d750c83-0b27-437b-ae33-dd21a3313a04.json b/data/hfopenllm_v2/upstage/SOLAR-10.7B-Instruct-v1.0/9d750c83-0b27-437b-ae33-dd21a3313a04.json
deleted file mode 100644
index a1d095c63..000000000
--- a/data/hfopenllm_v2/upstage/SOLAR-10.7B-Instruct-v1.0/9d750c83-0b27-437b-ae33-dd21a3313a04.json
+++ /dev/null
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-    "id": "upstage/SOLAR-10.7B-Instruct-v1.0",
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-    },
-    {
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-        "score_type": "continuous",
-        "min_score": 0,
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-}
diff --git a/data/hfopenllm_v2/upstage/SOLAR-10.7B-v1.0/a3272caf-a292-4dc7-8932-636a4099ca6b.json b/data/hfopenllm_v2/upstage/SOLAR-10.7B-v1.0/a3272caf-a292-4dc7-8932-636a4099ca6b.json
new file mode 100644
index 000000000..711e8ad03
--- /dev/null
+++ b/data/hfopenllm_v2/upstage/SOLAR-10.7B-v1.0/a3272caf-a292-4dc7-8932-636a4099ca6b.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/upstage_SOLAR-10.7B-v1.0/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "SOLAR-10.7B-v1.0",
+    "id": "upstage/SOLAR-10.7B-v1.0",
+    "developer": "upstage",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 10.732
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2421
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
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+        "score_type": "continuous",
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+        "max_score": 1.0
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+    },
+    {
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+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.281
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4372
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.34
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/upstage/SOLAR-10.7B-v1.0/b29dbad1-7c1c-4ed2-8f44-45d54fed4880.json b/data/hfopenllm_v2/upstage/SOLAR-10.7B-v1.0/b29dbad1-7c1c-4ed2-8f44-45d54fed4880.json
deleted file mode 100644
index 1bc55d1cb..000000000
--- a/data/hfopenllm_v2/upstage/SOLAR-10.7B-v1.0/b29dbad1-7c1c-4ed2-8f44-45d54fed4880.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/upstage_SOLAR-10.7B-v1.0/1762652580.5805068",
-  "retrieved_timestamp": "1762652580.580508",
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "upstage/SOLAR-10.7B-v1.0",
-    "developer": "upstage",
-    "inference_platform": "unknown",
-    "id": "upstage/SOLAR-10.7B-v1.0",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 10.732
-    }
-  },
-  "evaluation_results": [
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-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-      "score_details": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-        "score_type": "continuous",
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-        "score_type": "continuous",
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-}
diff --git a/data/hfopenllm_v2/upstage/solar-pro-preview-instruct/00398bb3-0c84-4b3b-bcf1-61e84313b3e3.json b/data/hfopenllm_v2/upstage/solar-pro-preview-instruct/00398bb3-0c84-4b3b-bcf1-61e84313b3e3.json
deleted file mode 100644
index 84146711d..000000000
--- a/data/hfopenllm_v2/upstage/solar-pro-preview-instruct/00398bb3-0c84-4b3b-bcf1-61e84313b3e3.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/upstage_solar-pro-preview-instruct/1762652580.5807302",
-  "retrieved_timestamp": "1762652580.580731",
-  "source_data": [
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-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
-    "name": "upstage/solar-pro-preview-instruct",
-    "developer": "upstage",
-    "inference_platform": "unknown",
-    "id": "upstage/solar-pro-preview-instruct",
-    "additional_details": {
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-      "architecture": "SolarForCausalLM",
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-  "evaluation_results": [
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-        "lower_is_better": false,
-        "score_type": "continuous",
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-        "lower_is_better": false,
-        "score_type": "continuous",
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-      "score_details": {
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-    {
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-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.52734375
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/upstage/solar-pro-preview-instruct/c4ade77e-628f-457d-bbe1-3e5a0cb19d04.json b/data/hfopenllm_v2/upstage/solar-pro-preview-instruct/c4ade77e-628f-457d-bbe1-3e5a0cb19d04.json
new file mode 100644
index 000000000..86a94ac3f
--- /dev/null
+++ b/data/hfopenllm_v2/upstage/solar-pro-preview-instruct/c4ade77e-628f-457d-bbe1-3e5a0cb19d04.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/upstage_solar-pro-preview-instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "solar-pro-preview-instruct",
+    "id": "upstage/solar-pro-preview-instruct",
+    "developer": "upstage",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "SolarForCausalLM",
+      "params_billions": 22.14
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.8416
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6817
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2205
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3708
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4417
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5273
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/utkmst/chimera-beta-test2-lora-merged/00620da3-d3ee-442a-a319-248906d959c0.json b/data/hfopenllm_v2/utkmst/chimera-beta-test2-lora-merged/00620da3-d3ee-442a-a319-248906d959c0.json
deleted file mode 100644
index e9c579df3..000000000
--- a/data/hfopenllm_v2/utkmst/chimera-beta-test2-lora-merged/00620da3-d3ee-442a-a319-248906d959c0.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/utkmst_chimera-beta-test2-lora-merged/1762652580.581129",
-  "retrieved_timestamp": "1762652580.581131",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "utkmst/chimera-beta-test2-lora-merged",
-    "developer": "utkmst",
-    "inference_platform": "unknown",
-    "id": "utkmst/chimera-beta-test2-lora-merged",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6054269338688014
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-    },
-    {
-      "evaluation_name": "BBH",
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
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-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-    },
-    {
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-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3036912751677852
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4117916666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2992021276595745
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/utkmst/chimera-beta-test2-lora-merged/b030646c-5f5c-43ab-bbc4-405f82992265.json b/data/hfopenllm_v2/utkmst/chimera-beta-test2-lora-merged/b030646c-5f5c-43ab-bbc4-405f82992265.json
new file mode 100644
index 000000000..794273d51
--- /dev/null
+++ b/data/hfopenllm_v2/utkmst/chimera-beta-test2-lora-merged/b030646c-5f5c-43ab-bbc4-405f82992265.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/utkmst_chimera-beta-test2-lora-merged/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "chimera-beta-test2-lora-merged",
+    "id": "utkmst/chimera-beta-test2-lora-merged",
+    "developer": "utkmst",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6054
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4796
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0952
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3037
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4118
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2992
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/uukuguy/speechless-code-mistral-7b-v1.0/399e516c-d8c8-4511-a746-76c81f72b36a.json b/data/hfopenllm_v2/uukuguy/speechless-code-mistral-7b-v1.0/399e516c-d8c8-4511-a746-76c81f72b36a.json
new file mode 100644
index 000000000..8a74f1d3d
--- /dev/null
+++ b/data/hfopenllm_v2/uukuguy/speechless-code-mistral-7b-v1.0/399e516c-d8c8-4511-a746-76c81f72b36a.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/uukuguy_speechless-code-mistral-7b-v1.0/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "speechless-code-mistral-7b-v1.0",
+    "id": "uukuguy/speechless-code-mistral-7b-v1.0",
+    "developer": "uukuguy",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.0
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3665
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4572
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0521
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2844
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4502
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3146
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/uukuguy/speechless-codellama-34b-v2.0/bd8e4424-7903-43e7-8105-269de734582e.json b/data/hfopenllm_v2/uukuguy/speechless-codellama-34b-v2.0/bd8e4424-7903-43e7-8105-269de734582e.json
new file mode 100644
index 000000000..eea43c67b
--- /dev/null
+++ b/data/hfopenllm_v2/uukuguy/speechless-codellama-34b-v2.0/bd8e4424-7903-43e7-8105-269de734582e.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/uukuguy_speechless-codellama-34b-v2.0/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "speechless-codellama-34b-v2.0",
+    "id": "uukuguy/speechless-codellama-34b-v2.0",
+    "developer": "uukuguy",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 34.0
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4604
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4813
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0431
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2693
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3787
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2542
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/uukuguy/speechless-coder-ds-6.7b/9126e939-3a87-4774-9606-084c5b56e933.json b/data/hfopenllm_v2/uukuguy/speechless-coder-ds-6.7b/9126e939-3a87-4774-9606-084c5b56e933.json
new file mode 100644
index 000000000..9ccbd840a
--- /dev/null
+++ b/data/hfopenllm_v2/uukuguy/speechless-coder-ds-6.7b/9126e939-3a87-4774-9606-084c5b56e933.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/uukuguy_speechless-coder-ds-6.7b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "speechless-coder-ds-6.7b",
+    "id": "uukuguy/speechless-coder-ds-6.7b",
+    "developer": "uukuguy",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 6.7
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2505
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4036
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0211
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2643
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3819
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1719
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/uukuguy/speechless-coder-ds-6.7b/a3ba5a65-b137-42ad-868b-9aa5c24afd07.json b/data/hfopenllm_v2/uukuguy/speechless-coder-ds-6.7b/a3ba5a65-b137-42ad-868b-9aa5c24afd07.json
deleted file mode 100644
index 7fcfa4c58..000000000
--- a/data/hfopenllm_v2/uukuguy/speechless-coder-ds-6.7b/a3ba5a65-b137-42ad-868b-9aa5c24afd07.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/uukuguy_speechless-coder-ds-6.7b/1762652580.582827",
-  "retrieved_timestamp": "1762652580.582828",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "uukuguy/speechless-coder-ds-6.7b",
-    "developer": "uukuguy",
-    "inference_platform": "unknown",
-    "id": "uukuguy/speechless-coder-ds-6.7b",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 6.7
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.25046986440422525
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4036373344669979
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.021148036253776436
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.26426174496644295
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3819375
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.171875
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/uukuguy/speechless-instruct-mistral-7b-v0.2/be2ef197-738e-422d-9a88-cafd124584b7.json b/data/hfopenllm_v2/uukuguy/speechless-instruct-mistral-7b-v0.2/be2ef197-738e-422d-9a88-cafd124584b7.json
new file mode 100644
index 000000000..06f2df151
--- /dev/null
+++ b/data/hfopenllm_v2/uukuguy/speechless-instruct-mistral-7b-v0.2/be2ef197-738e-422d-9a88-cafd124584b7.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/uukuguy_speechless-instruct-mistral-7b-v0.2/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "speechless-instruct-mistral-7b-v0.2",
+    "id": "uukuguy/speechless-instruct-mistral-7b-v0.2",
+    "developer": "uukuguy",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3261
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4607
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0491
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2819
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4902
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2902
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/uukuguy/speechless-instruct-mistral-7b-v0.2/e115938d-d343-4c03-8f3b-4d86768b2e49.json b/data/hfopenllm_v2/uukuguy/speechless-instruct-mistral-7b-v0.2/e115938d-d343-4c03-8f3b-4d86768b2e49.json
deleted file mode 100644
index fab302799..000000000
--- a/data/hfopenllm_v2/uukuguy/speechless-instruct-mistral-7b-v0.2/e115938d-d343-4c03-8f3b-4d86768b2e49.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/uukuguy_speechless-instruct-mistral-7b-v0.2/1762652580.5831082",
-  "retrieved_timestamp": "1762652580.5831091",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "uukuguy/speechless-instruct-mistral-7b-v0.2",
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diff --git a/data/hfopenllm_v2/uukuguy/speechless-llama2-hermes-orca-platypus-wizardlm-13b/ee22e6c5-8529-4987-86d0-4abf3b525f90.json b/data/hfopenllm_v2/uukuguy/speechless-llama2-hermes-orca-platypus-wizardlm-13b/ee22e6c5-8529-4987-86d0-4abf3b525f90.json
new file mode 100644
index 000000000..776e410d9
--- /dev/null
+++ b/data/hfopenllm_v2/uukuguy/speechless-llama2-hermes-orca-platypus-wizardlm-13b/ee22e6c5-8529-4987-86d0-4abf3b525f90.json
@@ -0,0 +1,132 @@
+{
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+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
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+    "source_type": "documentation",
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+    "evaluator_relationship": "third_party"
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+    "id": "uukuguy/speechless-llama2-hermes-orca-platypus-wizardlm-13b",
+    "developer": "uukuguy",
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+        "hf_repo": "SaylorTwift/bbh"
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/uukuguy/speechless-mistral-dolphin-orca-platypus-samantha-7b/50f0ddc2-fccd-447c-ab50-a086ccb4cd3a.json b/data/hfopenllm_v2/uukuguy/speechless-mistral-dolphin-orca-platypus-samantha-7b/50f0ddc2-fccd-447c-ab50-a086ccb4cd3a.json
new file mode 100644
index 000000000..c79782429
--- /dev/null
+++ b/data/hfopenllm_v2/uukuguy/speechless-mistral-dolphin-orca-platypus-samantha-7b/50f0ddc2-fccd-447c-ab50-a086ccb4cd3a.json
@@ -0,0 +1,132 @@
+{
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+    "name": "speechless-mistral-dolphin-orca-platypus-samantha-7b",
+    "id": "uukuguy/speechless-mistral-dolphin-orca-platypus-samantha-7b",
+    "developer": "uukuguy",
+    "inference_platform": "unknown",
+    "additional_details": {
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+    }
+  },
+  "evaluation_results": [
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/uukuguy/speechless-zephyr-code-functionary-7b/82346a60-f31e-45ba-9fae-bd738321f390.json b/data/hfopenllm_v2/uukuguy/speechless-zephyr-code-functionary-7b/82346a60-f31e-45ba-9fae-bd738321f390.json
deleted file mode 100644
index d47e8898e..000000000
--- a/data/hfopenllm_v2/uukuguy/speechless-zephyr-code-functionary-7b/82346a60-f31e-45ba-9fae-bd738321f390.json
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@@ -1,105 +0,0 @@
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-    "id": "uukuguy/speechless-zephyr-code-functionary-7b",
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diff --git a/data/hfopenllm_v2/uukuguy/speechless-zephyr-code-functionary-7b/83294141-a70f-40da-b3f8-21b367098cce.json b/data/hfopenllm_v2/uukuguy/speechless-zephyr-code-functionary-7b/83294141-a70f-40da-b3f8-21b367098cce.json
new file mode 100644
index 000000000..947584201
--- /dev/null
+++ b/data/hfopenllm_v2/uukuguy/speechless-zephyr-code-functionary-7b/83294141-a70f-40da-b3f8-21b367098cce.json
@@ -0,0 +1,132 @@
+{
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+  "source_metadata": {
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+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
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+  "model_info": {
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+    "id": "uukuguy/speechless-zephyr-code-functionary-7b",
+    "developer": "uukuguy",
+    "inference_platform": "unknown",
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+        "hf_repo": "SaylorTwift/bbh"
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+    },
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+        "hf_repo": "TAUR-Lab/MuSR"
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
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+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
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+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/v000000/L3-8B-Stheno-v3.2-abliterated/303ae3d2-fdf5-404d-83ca-8e6071e13e6b.json b/data/hfopenllm_v2/v000000/L3-8B-Stheno-v3.2-abliterated/303ae3d2-fdf5-404d-83ca-8e6071e13e6b.json
new file mode 100644
index 000000000..ef4193f8a
--- /dev/null
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@@ -0,0 +1,132 @@
+{
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+  "evaluation_id": "hfopenllm_v2/v000000_L3-8B-Stheno-v3.2-abliterated/1770682486.623709",
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+  "source_metadata": {
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+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
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+    "id": "v000000/L3-8B-Stheno-v3.2-abliterated",
+    "developer": "v000000",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6718
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5141
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0695
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3096
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.362
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3604
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/v000000/L3-8B-Stheno-v3.2-abliterated/33146dbb-8233-4f3d-9fd9-68cbacc3f293.json b/data/hfopenllm_v2/v000000/L3-8B-Stheno-v3.2-abliterated/33146dbb-8233-4f3d-9fd9-68cbacc3f293.json
deleted file mode 100644
index 6551961e8..000000000
--- a/data/hfopenllm_v2/v000000/L3-8B-Stheno-v3.2-abliterated/33146dbb-8233-4f3d-9fd9-68cbacc3f293.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/v000000_L3-8B-Stheno-v3.2-abliterated/1762652580.584157",
-  "retrieved_timestamp": "1762652580.584158",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "v000000/L3-8B-Stheno-v3.2-abliterated",
-    "developer": "v000000",
-    "inference_platform": "unknown",
-    "id": "v000000/L3-8B-Stheno-v3.2-abliterated",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6717720093795574
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5141439214918061
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.06948640483383686
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30956375838926176
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.36196875
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3603723404255319
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/v000000/L3.1-Niitorm-8B-DPO-t0.0001/1b13d76d-259f-41f2-baba-ce96ef0cb937.json b/data/hfopenllm_v2/v000000/L3.1-Niitorm-8B-DPO-t0.0001/1b13d76d-259f-41f2-baba-ce96ef0cb937.json
new file mode 100644
index 000000000..4b7d05df3
--- /dev/null
+++ b/data/hfopenllm_v2/v000000/L3.1-Niitorm-8B-DPO-t0.0001/1b13d76d-259f-41f2-baba-ce96ef0cb937.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/v000000_L3.1-Niitorm-8B-DPO-t0.0001/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "L3.1-Niitorm-8B-DPO-t0.0001",
+    "id": "v000000/L3.1-Niitorm-8B-DPO-t0.0001",
+    "developer": "v000000",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7689
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5134
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1624
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2945
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.388
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3866
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/v000000/L3.1-Niitorm-8B-DPO-t0.0001/d90cef97-1e73-4068-bcb5-260a3f2586fe.json b/data/hfopenllm_v2/v000000/L3.1-Niitorm-8B-DPO-t0.0001/d90cef97-1e73-4068-bcb5-260a3f2586fe.json
deleted file mode 100644
index f4b99b578..000000000
--- a/data/hfopenllm_v2/v000000/L3.1-Niitorm-8B-DPO-t0.0001/d90cef97-1e73-4068-bcb5-260a3f2586fe.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/v000000_L3.1-Niitorm-8B-DPO-t0.0001/1762652580.5844421",
-  "retrieved_timestamp": "1762652580.5844429",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "v000000/L3.1-Niitorm-8B-DPO-t0.0001",
-    "developer": "v000000",
-    "inference_platform": "unknown",
-    "id": "v000000/L3.1-Niitorm-8B-DPO-t0.0001",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7688666072687137
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5134234526726582
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1623867069486405
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.29446308724832215
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3879791666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.38663563829787234
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/v000000/L3.1-Storniitova-8B/761f0cc0-c202-490d-93b4-447244f1e40a.json b/data/hfopenllm_v2/v000000/L3.1-Storniitova-8B/761f0cc0-c202-490d-93b4-447244f1e40a.json
deleted file mode 100644
index 66cb4d362..000000000
--- a/data/hfopenllm_v2/v000000/L3.1-Storniitova-8B/761f0cc0-c202-490d-93b4-447244f1e40a.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/v000000_L3.1-Storniitova-8B/1762652580.584696",
-  "retrieved_timestamp": "1762652580.584697",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "v000000/L3.1-Storniitova-8B",
-    "developer": "v000000",
-    "inference_platform": "unknown",
-    "id": "v000000/L3.1-Storniitova-8B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7816560060639104
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    {
-      "evaluation_name": "MATH Level 5",
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "GPQA",
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-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.28942953020134227
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4028958333333333
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37757646276595747
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-  ]
-}
diff --git a/data/hfopenllm_v2/v000000/L3.1-Storniitova-8B/b644a420-0a70-4b3d-9a5a-ff91911c857b.json b/data/hfopenllm_v2/v000000/L3.1-Storniitova-8B/b644a420-0a70-4b3d-9a5a-ff91911c857b.json
new file mode 100644
index 000000000..45240285c
--- /dev/null
+++ b/data/hfopenllm_v2/v000000/L3.1-Storniitova-8B/b644a420-0a70-4b3d-9a5a-ff91911c857b.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/v000000_L3.1-Storniitova-8B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "L3.1-Storniitova-8B",
+    "id": "v000000/L3.1-Storniitova-8B",
+    "developer": "v000000",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7817
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5151
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1465
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2894
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4029
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3776
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/v000000/Qwen2.5-14B-Gutenberg-1e-Delta/33aaa60f-eb69-4d36-917c-6862121a223e.json b/data/hfopenllm_v2/v000000/Qwen2.5-14B-Gutenberg-1e-Delta/33aaa60f-eb69-4d36-917c-6862121a223e.json
new file mode 100644
index 000000000..c7a731adf
--- /dev/null
+++ b/data/hfopenllm_v2/v000000/Qwen2.5-14B-Gutenberg-1e-Delta/33aaa60f-eb69-4d36-917c-6862121a223e.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/v000000_Qwen2.5-14B-Gutenberg-1e-Delta/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-14B-Gutenberg-1e-Delta",
+    "id": "v000000/Qwen2.5-14B-Gutenberg-1e-Delta",
+    "developer": "v000000",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.77
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.8045
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6398
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5264
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3289
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4073
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.493
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/v000000/Qwen2.5-14B-Gutenberg-Instruct-Slerpeno/1f1da15c-3a82-4dfb-9b73-4381c70eb1ef.json b/data/hfopenllm_v2/v000000/Qwen2.5-14B-Gutenberg-Instruct-Slerpeno/1f1da15c-3a82-4dfb-9b73-4381c70eb1ef.json
deleted file mode 100644
index 3330f13b7..000000000
--- a/data/hfopenllm_v2/v000000/Qwen2.5-14B-Gutenberg-Instruct-Slerpeno/1f1da15c-3a82-4dfb-9b73-4381c70eb1ef.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/v000000_Qwen2.5-14B-Gutenberg-Instruct-Slerpeno/1762652580.585153",
-  "retrieved_timestamp": "1762652580.585153",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "v000000/Qwen2.5-14B-Gutenberg-Instruct-Slerpeno",
-    "developer": "v000000",
-    "inference_platform": "unknown",
-    "id": "v000000/Qwen2.5-14B-Gutenberg-Instruct-Slerpeno",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 14.77
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.8197493760998595
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.639010174859259
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5324773413897281
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3313758389261745
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4113645833333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4923537234042553
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/v000000/Qwen2.5-14B-Gutenberg-Instruct-Slerpeno/a1d2e571-6de0-4bd7-bdcf-8b3921b450f6.json b/data/hfopenllm_v2/v000000/Qwen2.5-14B-Gutenberg-Instruct-Slerpeno/a1d2e571-6de0-4bd7-bdcf-8b3921b450f6.json
new file mode 100644
index 000000000..98637a74d
--- /dev/null
+++ b/data/hfopenllm_v2/v000000/Qwen2.5-14B-Gutenberg-Instruct-Slerpeno/a1d2e571-6de0-4bd7-bdcf-8b3921b450f6.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/v000000_Qwen2.5-14B-Gutenberg-Instruct-Slerpeno/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-14B-Gutenberg-Instruct-Slerpeno",
+    "id": "v000000/Qwen2.5-14B-Gutenberg-Instruct-Slerpeno",
+    "developer": "v000000",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.77
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.8197
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.639
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5325
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3314
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4114
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4924
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/v000000/Qwen2.5-Lumen-14B/ad93274e-3ca0-40cb-9f65-e6e6c66a8008.json b/data/hfopenllm_v2/v000000/Qwen2.5-Lumen-14B/ad93274e-3ca0-40cb-9f65-e6e6c66a8008.json
new file mode 100644
index 000000000..13c590e0a
--- /dev/null
+++ b/data/hfopenllm_v2/v000000/Qwen2.5-Lumen-14B/ad93274e-3ca0-40cb-9f65-e6e6c66a8008.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/v000000_Qwen2.5-Lumen-14B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-Lumen-14B",
+    "id": "v000000/Qwen2.5-Lumen-14B",
+    "developer": "v000000",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.77
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.8064
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6391
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5363
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.328
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4114
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4903
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/vhab10/Llama-3.1-8B-Base-Instruct-SLERP/982455a4-fb4f-4eed-96a0-c46d9eb11937.json b/data/hfopenllm_v2/vhab10/Llama-3.1-8B-Base-Instruct-SLERP/982455a4-fb4f-4eed-96a0-c46d9eb11937.json
deleted file mode 100644
index ee54edf7c..000000000
--- a/data/hfopenllm_v2/vhab10/Llama-3.1-8B-Base-Instruct-SLERP/982455a4-fb4f-4eed-96a0-c46d9eb11937.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/vhab10_Llama-3.1-8B-Base-Instruct-SLERP/1762652580.585581",
-  "retrieved_timestamp": "1762652580.585582",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "vhab10/Llama-3.1-8B-Base-Instruct-SLERP",
-    "developer": "vhab10",
-    "inference_platform": "unknown",
-    "id": "vhab10/Llama-3.1-8B-Base-Instruct-SLERP",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.290711977552893
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5057443268070797
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.12009063444108761
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2961409395973154
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.40106250000000004
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3621176861702128
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/vhab10/Llama-3.1-8B-Base-Instruct-SLERP/b8043d04-c3ab-4d6a-97eb-44b195a52710.json b/data/hfopenllm_v2/vhab10/Llama-3.1-8B-Base-Instruct-SLERP/b8043d04-c3ab-4d6a-97eb-44b195a52710.json
new file mode 100644
index 000000000..84ee49bc2
--- /dev/null
+++ b/data/hfopenllm_v2/vhab10/Llama-3.1-8B-Base-Instruct-SLERP/b8043d04-c3ab-4d6a-97eb-44b195a52710.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/vhab10_Llama-3.1-8B-Base-Instruct-SLERP/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-3.1-8B-Base-Instruct-SLERP",
+    "id": "vhab10/Llama-3.1-8B-Base-Instruct-SLERP",
+    "developer": "vhab10",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2907
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5057
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1201
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2961
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4011
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3621
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/vhab10/Llama-3.2-Instruct-3B-TIES/22f8bb3f-4794-46b1-828e-75711a1233bd.json b/data/hfopenllm_v2/vhab10/Llama-3.2-Instruct-3B-TIES/22f8bb3f-4794-46b1-828e-75711a1233bd.json
deleted file mode 100644
index 8fa7af8d9..000000000
--- a/data/hfopenllm_v2/vhab10/Llama-3.2-Instruct-3B-TIES/22f8bb3f-4794-46b1-828e-75711a1233bd.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/vhab10_Llama-3.2-Instruct-3B-TIES/1762652580.585841",
-  "retrieved_timestamp": "1762652580.585842",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "vhab10/Llama-3.2-Instruct-3B-TIES",
-    "developer": "vhab10",
-    "inference_platform": "unknown",
-    "id": "vhab10/Llama-3.2-Instruct-3B-TIES",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 1.848
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4727367828472896
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.43323649966514094
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.09818731117824774
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.26929530201342283
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.34965625
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2915558510638298
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/vhab10/Llama-3.2-Instruct-3B-TIES/c6bff6da-382f-4423-ba3a-d987839132e0.json b/data/hfopenllm_v2/vhab10/Llama-3.2-Instruct-3B-TIES/c6bff6da-382f-4423-ba3a-d987839132e0.json
new file mode 100644
index 000000000..44b89e714
--- /dev/null
+++ b/data/hfopenllm_v2/vhab10/Llama-3.2-Instruct-3B-TIES/c6bff6da-382f-4423-ba3a-d987839132e0.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/vhab10_Llama-3.2-Instruct-3B-TIES/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-3.2-Instruct-3B-TIES",
+    "id": "vhab10/Llama-3.2-Instruct-3B-TIES",
+    "developer": "vhab10",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 1.848
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4727
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4332
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0982
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2693
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3497
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2916
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/vhab10/llama-3-8b-merged-linear/f3574ad1-a6d7-47fb-86e7-69c256452dea.json b/data/hfopenllm_v2/vhab10/llama-3-8b-merged-linear/f3574ad1-a6d7-47fb-86e7-69c256452dea.json
new file mode 100644
index 000000000..a70dfa80f
--- /dev/null
+++ b/data/hfopenllm_v2/vhab10/llama-3-8b-merged-linear/f3574ad1-a6d7-47fb-86e7-69c256452dea.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/vhab10_llama-3-8b-merged-linear/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "llama-3-8b-merged-linear",
+    "id": "vhab10/llama-3-8b-merged-linear",
+    "developer": "vhab10",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 4.65
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5917
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4937
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0816
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2995
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4191
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3704
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/vicgalle/CarbonBeagle-11B-truthy/d67aa278-fcc9-4404-a87a-4be9e1bdaa1a.json b/data/hfopenllm_v2/vicgalle/CarbonBeagle-11B-truthy/d67aa278-fcc9-4404-a87a-4be9e1bdaa1a.json
deleted file mode 100644
index 9d2373a6c..000000000
--- a/data/hfopenllm_v2/vicgalle/CarbonBeagle-11B-truthy/d67aa278-fcc9-4404-a87a-4be9e1bdaa1a.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/vicgalle_CarbonBeagle-11B-truthy/1762652580.586528",
-  "retrieved_timestamp": "1762652580.586528",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "vicgalle/CarbonBeagle-11B-truthy",
-    "developer": "vicgalle",
-    "inference_platform": "unknown",
-    "id": "vicgalle/CarbonBeagle-11B-truthy",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 10.732
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5212214701436633
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5348420085288232
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.04909365558912387
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.29949664429530204
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37396874999999996
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.335688164893617
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/vicgalle/CarbonBeagle-11B-truthy/f2e47267-6c40-4d70-8420-295c95b318f3.json b/data/hfopenllm_v2/vicgalle/CarbonBeagle-11B-truthy/f2e47267-6c40-4d70-8420-295c95b318f3.json
new file mode 100644
index 000000000..702223e17
--- /dev/null
+++ b/data/hfopenllm_v2/vicgalle/CarbonBeagle-11B-truthy/f2e47267-6c40-4d70-8420-295c95b318f3.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/vicgalle_CarbonBeagle-11B-truthy/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "CarbonBeagle-11B-truthy",
+    "id": "vicgalle/CarbonBeagle-11B-truthy",
+    "developer": "vicgalle",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 10.732
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5212
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5348
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0491
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2995
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.374
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3357
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/vicgalle/CarbonBeagle-11B/395f246e-34c6-40e6-bfeb-b047aa12cf90.json b/data/hfopenllm_v2/vicgalle/CarbonBeagle-11B/395f246e-34c6-40e6-bfeb-b047aa12cf90.json
new file mode 100644
index 000000000..d8ca9e059
--- /dev/null
+++ b/data/hfopenllm_v2/vicgalle/CarbonBeagle-11B/395f246e-34c6-40e6-bfeb-b047aa12cf90.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/vicgalle_CarbonBeagle-11B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "CarbonBeagle-11B",
+    "id": "vicgalle/CarbonBeagle-11B",
+    "developer": "vicgalle",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 10.732
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5415
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5294
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0619
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.302
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.402
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3276
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/vicgalle/CarbonBeagle-11B/b906411a-6663-4c9f-9fe6-4d60e99e4e41.json b/data/hfopenllm_v2/vicgalle/CarbonBeagle-11B/b906411a-6663-4c9f-9fe6-4d60e99e4e41.json
deleted file mode 100644
index 57b8329d0..000000000
--- a/data/hfopenllm_v2/vicgalle/CarbonBeagle-11B/b906411a-6663-4c9f-9fe6-4d60e99e4e41.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/vicgalle_CarbonBeagle-11B/1762652580.5862951",
-  "retrieved_timestamp": "1762652580.5862951",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "vicgalle/CarbonBeagle-11B",
-    "developer": "vicgalle",
-    "inference_platform": "unknown",
-    "id": "vicgalle/CarbonBeagle-11B",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 10.732
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5415298075772285
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5293652486530874
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.061933534743202415
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30201342281879195
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.40203125
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.32762632978723405
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/vicgalle/Configurable-Hermes-2-Pro-Llama-3-8B/3a91f8bb-c132-45b3-b8b4-d2ecc9f03f3a.json b/data/hfopenllm_v2/vicgalle/Configurable-Hermes-2-Pro-Llama-3-8B/3a91f8bb-c132-45b3-b8b4-d2ecc9f03f3a.json
new file mode 100644
index 000000000..ea5259667
--- /dev/null
+++ b/data/hfopenllm_v2/vicgalle/Configurable-Hermes-2-Pro-Llama-3-8B/3a91f8bb-c132-45b3-b8b4-d2ecc9f03f3a.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/vicgalle_Configurable-Hermes-2-Pro-Llama-3-8B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Configurable-Hermes-2-Pro-Llama-3-8B",
+    "id": "vicgalle/Configurable-Hermes-2-Pro-Llama-3-8B",
+    "developer": "vicgalle",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.031
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5763
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5055
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0763
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.297
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4184
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3098
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/vicgalle/Configurable-Llama-3.1-8B-Instruct/82a3253a-7a6e-4d75-8ea2-114b4dee6d16.json b/data/hfopenllm_v2/vicgalle/Configurable-Llama-3.1-8B-Instruct/82a3253a-7a6e-4d75-8ea2-114b4dee6d16.json
deleted file mode 100644
index ab826d396..000000000
--- a/data/hfopenllm_v2/vicgalle/Configurable-Llama-3.1-8B-Instruct/82a3253a-7a6e-4d75-8ea2-114b4dee6d16.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/vicgalle_Configurable-Llama-3.1-8B-Instruct/1762652580.586963",
-  "retrieved_timestamp": "1762652580.586964",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "vicgalle/Configurable-Llama-3.1-8B-Instruct",
-    "developer": "vicgalle",
-    "inference_platform": "unknown",
-    "id": "vicgalle/Configurable-Llama-3.1-8B-Instruct",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.8312399987588488
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5044756225072481
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1729607250755287
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.27432885906040266
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3845416666666666
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3592087765957447
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/vicgalle/Configurable-Llama-3.1-8B-Instruct/97c92043-9bed-460a-8d7b-70ab3584c75b.json b/data/hfopenllm_v2/vicgalle/Configurable-Llama-3.1-8B-Instruct/97c92043-9bed-460a-8d7b-70ab3584c75b.json
new file mode 100644
index 000000000..86af2304f
--- /dev/null
+++ b/data/hfopenllm_v2/vicgalle/Configurable-Llama-3.1-8B-Instruct/97c92043-9bed-460a-8d7b-70ab3584c75b.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/vicgalle_Configurable-Llama-3.1-8B-Instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Configurable-Llama-3.1-8B-Instruct",
+    "id": "vicgalle/Configurable-Llama-3.1-8B-Instruct",
+    "developer": "vicgalle",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.8312
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5045
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.173
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2743
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3845
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3592
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/vicgalle/Configurable-Yi-1.5-9B-Chat/0a933130-dca9-435c-a529-16065b540aab.json b/data/hfopenllm_v2/vicgalle/Configurable-Yi-1.5-9B-Chat/0a933130-dca9-435c-a529-16065b540aab.json
deleted file mode 100644
index 7b26c705a..000000000
--- a/data/hfopenllm_v2/vicgalle/Configurable-Yi-1.5-9B-Chat/0a933130-dca9-435c-a529-16065b540aab.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/vicgalle_Configurable-Yi-1.5-9B-Chat/1762652580.587164",
-  "retrieved_timestamp": "1762652580.5871649",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "vicgalle/Configurable-Yi-1.5-9B-Chat",
-    "developer": "vicgalle",
-    "inference_platform": "unknown",
-    "id": "vicgalle/Configurable-Yi-1.5-9B-Chat",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.829
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.43234506664538974
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5452196737175008
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.20468277945619334
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.34312080536912754
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42711458333333335
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4015126329787234
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/vicgalle/Configurable-Yi-1.5-9B-Chat/ab2ce171-bfcf-49ea-a341-2a52b2bd803a.json b/data/hfopenllm_v2/vicgalle/Configurable-Yi-1.5-9B-Chat/ab2ce171-bfcf-49ea-a341-2a52b2bd803a.json
new file mode 100644
index 000000000..263e7fc5d
--- /dev/null
+++ b/data/hfopenllm_v2/vicgalle/Configurable-Yi-1.5-9B-Chat/ab2ce171-bfcf-49ea-a341-2a52b2bd803a.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/vicgalle_Configurable-Yi-1.5-9B-Chat/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Configurable-Yi-1.5-9B-Chat",
+    "id": "vicgalle/Configurable-Yi-1.5-9B-Chat",
+    "developer": "vicgalle",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.829
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4323
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5452
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2047
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3431
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4271
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4015
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/vicgalle/ConfigurableBeagle-11B/3fd95536-ec61-4470-9082-14a116d20e80.json b/data/hfopenllm_v2/vicgalle/ConfigurableBeagle-11B/3fd95536-ec61-4470-9082-14a116d20e80.json
deleted file mode 100644
index d8b504872..000000000
--- a/data/hfopenllm_v2/vicgalle/ConfigurableBeagle-11B/3fd95536-ec61-4470-9082-14a116d20e80.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/vicgalle_ConfigurableBeagle-11B/1762652580.587369",
-  "retrieved_timestamp": "1762652580.58737",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "vicgalle/ConfigurableBeagle-11B",
-    "developer": "vicgalle",
-    "inference_platform": "unknown",
-    "id": "vicgalle/ConfigurableBeagle-11B",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 10.732
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5834452585805663
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5286592318626696
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.04305135951661632
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30201342281879195
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.39530208333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.33743351063829785
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/vicgalle/ConfigurableBeagle-11B/f9bbd9cc-dc6a-466f-b777-eaea4a15b874.json b/data/hfopenllm_v2/vicgalle/ConfigurableBeagle-11B/f9bbd9cc-dc6a-466f-b777-eaea4a15b874.json
new file mode 100644
index 000000000..562396548
--- /dev/null
+++ b/data/hfopenllm_v2/vicgalle/ConfigurableBeagle-11B/f9bbd9cc-dc6a-466f-b777-eaea4a15b874.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/vicgalle_ConfigurableBeagle-11B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "ConfigurableBeagle-11B",
+    "id": "vicgalle/ConfigurableBeagle-11B",
+    "developer": "vicgalle",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 10.732
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5834
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5287
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0431
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.302
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3953
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3374
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/vicgalle/ConfigurableHermes-7B/176727e5-31dc-462a-8210-4735543c32f2.json b/data/hfopenllm_v2/vicgalle/ConfigurableHermes-7B/176727e5-31dc-462a-8210-4735543c32f2.json
deleted file mode 100644
index 5d4e80ecc..000000000
--- a/data/hfopenllm_v2/vicgalle/ConfigurableHermes-7B/176727e5-31dc-462a-8210-4735543c32f2.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/vicgalle_ConfigurableHermes-7B/1762652580.5875661",
-  "retrieved_timestamp": "1762652580.587567",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "vicgalle/ConfigurableHermes-7B",
-    "developer": "vicgalle",
-    "inference_platform": "unknown",
-    "id": "vicgalle/ConfigurableHermes-7B",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5410798902467675
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4572969627830424
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.04758308157099698
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.27684563758389263
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4056875
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3025265957446808
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/vicgalle/ConfigurableHermes-7B/cd0aefa3-b0c9-4683-872f-f9f9d285e6c3.json b/data/hfopenllm_v2/vicgalle/ConfigurableHermes-7B/cd0aefa3-b0c9-4683-872f-f9f9d285e6c3.json
new file mode 100644
index 000000000..4374da041
--- /dev/null
+++ b/data/hfopenllm_v2/vicgalle/ConfigurableHermes-7B/cd0aefa3-b0c9-4683-872f-f9f9d285e6c3.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/vicgalle_ConfigurableHermes-7B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "ConfigurableHermes-7B",
+    "id": "vicgalle/ConfigurableHermes-7B",
+    "developer": "vicgalle",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5411
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4573
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0476
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2768
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4057
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3025
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/vicgalle/ConfigurableSOLAR-10.7B/2dec3c49-01f0-4940-aa45-e7a6b2648e8f.json b/data/hfopenllm_v2/vicgalle/ConfigurableSOLAR-10.7B/2dec3c49-01f0-4940-aa45-e7a6b2648e8f.json
deleted file mode 100644
index 475cf04db..000000000
--- a/data/hfopenllm_v2/vicgalle/ConfigurableSOLAR-10.7B/2dec3c49-01f0-4940-aa45-e7a6b2648e8f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/vicgalle_ConfigurableSOLAR-10.7B/1762652580.587757",
-  "retrieved_timestamp": "1762652580.587758",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "vicgalle/ConfigurableSOLAR-10.7B",
-    "developer": "vicgalle",
-    "inference_platform": "unknown",
-    "id": "vicgalle/ConfigurableSOLAR-10.7B",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 10.732
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5099558061499045
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.48668100977360457
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.06646525679758308
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2986577181208054
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.38047916666666665
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.31732047872340424
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/vicgalle/ConfigurableSOLAR-10.7B/c42db2ab-dbc4-48e4-9c16-7b8a5f8492c3.json b/data/hfopenllm_v2/vicgalle/ConfigurableSOLAR-10.7B/c42db2ab-dbc4-48e4-9c16-7b8a5f8492c3.json
new file mode 100644
index 000000000..3fecdf2c2
--- /dev/null
+++ b/data/hfopenllm_v2/vicgalle/ConfigurableSOLAR-10.7B/c42db2ab-dbc4-48e4-9c16-7b8a5f8492c3.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/vicgalle_ConfigurableSOLAR-10.7B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "ConfigurableSOLAR-10.7B",
+    "id": "vicgalle/ConfigurableSOLAR-10.7B",
+    "developer": "vicgalle",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 10.732
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.51
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4867
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0665
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2987
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3805
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3173
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/vicgalle/Humanish-RP-Llama-3.1-8B/1b32c387-97a7-42ff-892c-d3bacebbf050.json b/data/hfopenllm_v2/vicgalle/Humanish-RP-Llama-3.1-8B/1b32c387-97a7-42ff-892c-d3bacebbf050.json
new file mode 100644
index 000000000..99c2ecb52
--- /dev/null
+++ b/data/hfopenllm_v2/vicgalle/Humanish-RP-Llama-3.1-8B/1b32c387-97a7-42ff-892c-d3bacebbf050.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/vicgalle_Humanish-RP-Llama-3.1-8B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Humanish-RP-Llama-3.1-8B",
+    "id": "vicgalle/Humanish-RP-Llama-3.1-8B",
+    "developer": "vicgalle",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6669
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.51
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1518
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2869
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3952
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3477
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/vicgalle/Merge-Mistral-Prometheus-7B/cbea057c-b0f9-48ac-a075-eb28ebbaf358.json b/data/hfopenllm_v2/vicgalle/Merge-Mistral-Prometheus-7B/cbea057c-b0f9-48ac-a075-eb28ebbaf358.json
new file mode 100644
index 000000000..f60131bd5
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new file mode 100644
index 000000000..956f520a3
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diff --git a/data/hfopenllm_v2/vicgalle/Merge-Mixtral-Prometheus-8x7B/e6a0cf8f-323d-40c0-90c2-0e2071321df0.json b/data/hfopenllm_v2/vicgalle/Merge-Mixtral-Prometheus-8x7B/e6a0cf8f-323d-40c0-90c2-0e2071321df0.json
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new file mode 100644
index 000000000..3b3b5675b
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/viettelsecurity-ai/security-llama3.2-3b/827f3236-74fa-432b-8177-8785ac25ad76.json b/data/hfopenllm_v2/viettelsecurity-ai/security-llama3.2-3b/827f3236-74fa-432b-8177-8785ac25ad76.json
new file mode 100644
index 000000000..088a8c8aa
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+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2837
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/vihangd/smart-dan-sft-v0.1/00de0fac-e1a7-449a-969d-624cbe9adab1.json b/data/hfopenllm_v2/vihangd/smart-dan-sft-v0.1/00de0fac-e1a7-449a-969d-624cbe9adab1.json
deleted file mode 100644
index 6c89c4e01..000000000
--- a/data/hfopenllm_v2/vihangd/smart-dan-sft-v0.1/00de0fac-e1a7-449a-969d-624cbe9adab1.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/vihangd_smart-dan-sft-v0.1/1762652580.589078",
-  "retrieved_timestamp": "1762652580.5890791",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "vihangd/smart-dan-sft-v0.1",
-    "developer": "vihangd",
-    "inference_platform": "unknown",
-    "id": "vihangd/smart-dan-sft-v0.1",
-    "additional_details": {
-      "precision": "4bit",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 0.379
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.15764615664215392
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30617689187138886
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.009818731117824773
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2550335570469799
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.35018750000000004
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11419547872340426
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/vihangd/smart-dan-sft-v0.1/7f694687-77e5-41d2-923b-f2d5f231729b.json b/data/hfopenllm_v2/vihangd/smart-dan-sft-v0.1/7f694687-77e5-41d2-923b-f2d5f231729b.json
new file mode 100644
index 000000000..ee3f7a212
--- /dev/null
+++ b/data/hfopenllm_v2/vihangd/smart-dan-sft-v0.1/7f694687-77e5-41d2-923b-f2d5f231729b.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/vihangd_smart-dan-sft-v0.1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "smart-dan-sft-v0.1",
+    "id": "vihangd/smart-dan-sft-v0.1",
+    "developer": "vihangd",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "4bit",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 0.379
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1576
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3062
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0098
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.255
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3502
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1142
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/voidful/smol-360m-ft/b93d3a57-2535-4150-a2db-71a50569e6ae.json b/data/hfopenllm_v2/voidful/smol-360m-ft/b93d3a57-2535-4150-a2db-71a50569e6ae.json
deleted file mode 100644
index df8dfdb16..000000000
--- a/data/hfopenllm_v2/voidful/smol-360m-ft/b93d3a57-2535-4150-a2db-71a50569e6ae.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/voidful_smol-360m-ft/1762652580.589319",
-  "retrieved_timestamp": "1762652580.58932",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "voidful/smol-360m-ft",
-    "developer": "voidful",
-    "inference_platform": "unknown",
-    "id": "voidful/smol-360m-ft",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 0.362
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2013103011121602
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3011946898842932
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.008308157099697885
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.24580536912751677
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3713645833333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.10871010638297872
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/voidful/smol-360m-ft/daa9d03e-63b0-4c08-ae72-e11041200ac7.json b/data/hfopenllm_v2/voidful/smol-360m-ft/daa9d03e-63b0-4c08-ae72-e11041200ac7.json
new file mode 100644
index 000000000..b88c7efbe
--- /dev/null
+++ b/data/hfopenllm_v2/voidful/smol-360m-ft/daa9d03e-63b0-4c08-ae72-e11041200ac7.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/voidful_smol-360m-ft/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "smol-360m-ft",
+    "id": "voidful/smol-360m-ft",
+    "developer": "voidful",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 0.362
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2013
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3012
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0083
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2458
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3714
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1087
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/vonjack/MobileLLM-125M-HF/1539822f-acc4-4dae-9e61-133da97ebcbe.json b/data/hfopenllm_v2/vonjack/MobileLLM-125M-HF/1539822f-acc4-4dae-9e61-133da97ebcbe.json
new file mode 100644
index 000000000..3d05087f3
--- /dev/null
+++ b/data/hfopenllm_v2/vonjack/MobileLLM-125M-HF/1539822f-acc4-4dae-9e61-133da97ebcbe.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/vonjack_MobileLLM-125M-HF/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "MobileLLM-125M-HF",
+    "id": "vonjack/MobileLLM-125M-HF",
+    "developer": "vonjack",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 0.125
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2107
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3027
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0091
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2601
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3782
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1164
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/vonjack/MobileLLM-125M-HF/2e06f258-9d91-4734-aacc-f417fddad77c.json b/data/hfopenllm_v2/vonjack/MobileLLM-125M-HF/2e06f258-9d91-4734-aacc-f417fddad77c.json
deleted file mode 100644
index aeff79914..000000000
--- a/data/hfopenllm_v2/vonjack/MobileLLM-125M-HF/2e06f258-9d91-4734-aacc-f417fddad77c.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
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-  "retrieved_timestamp": "1762652580.589567",
-  "source_data": [
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
-    "name": "vonjack/MobileLLM-125M-HF",
-    "developer": "vonjack",
-    "inference_platform": "unknown",
-    "id": "vonjack/MobileLLM-125M-HF",
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-      "evaluation_name": "IFEval",
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-        "lower_is_better": false,
-        "score_type": "continuous",
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-        "score_type": "continuous",
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diff --git a/data/hfopenllm_v2/vonjack/Phi-3-mini-4k-instruct-LLaMAfied/be3635bb-83de-4cbf-8e0f-3a84ee78bd67.json b/data/hfopenllm_v2/vonjack/Phi-3-mini-4k-instruct-LLaMAfied/be3635bb-83de-4cbf-8e0f-3a84ee78bd67.json
deleted file mode 100644
index 13eb42c41..000000000
--- a/data/hfopenllm_v2/vonjack/Phi-3-mini-4k-instruct-LLaMAfied/be3635bb-83de-4cbf-8e0f-3a84ee78bd67.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/vonjack_Phi-3-mini-4k-instruct-LLaMAfied/1762652580.589802",
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-  "source_data": [
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-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "vonjack/Phi-3-mini-4k-instruct-LLaMAfied",
-    "developer": "vonjack",
-    "inference_platform": "unknown",
-    "id": "vonjack/Phi-3-mini-4k-instruct-LLaMAfied",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 3.821
-    }
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-  "evaluation_results": [
-    {
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-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-    {
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-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-    },
-    {
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-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-    {
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-        "lower_is_better": false,
-        "score_type": "continuous",
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-        "max_score": 1
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-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3923541666666666
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3885472074468085
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/vonjack/Phi-3-mini-4k-instruct-LLaMAfied/eec80fda-ce2f-4ef4-94d3-9e7b90f7f2e5.json b/data/hfopenllm_v2/vonjack/Phi-3-mini-4k-instruct-LLaMAfied/eec80fda-ce2f-4ef4-94d3-9e7b90f7f2e5.json
new file mode 100644
index 000000000..adf71cb9a
--- /dev/null
+++ b/data/hfopenllm_v2/vonjack/Phi-3-mini-4k-instruct-LLaMAfied/eec80fda-ce2f-4ef4-94d3-9e7b90f7f2e5.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/vonjack_Phi-3-mini-4k-instruct-LLaMAfied/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Phi-3-mini-4k-instruct-LLaMAfied",
+    "id": "vonjack/Phi-3-mini-4k-instruct-LLaMAfied",
+    "developer": "vonjack",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 3.821
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5787
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5741
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1382
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3305
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3924
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3885
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/vonjack/Phi-3.5-mini-instruct-hermes-fc-json/19cd2513-03e8-4d78-b222-566fe3928d2b.json b/data/hfopenllm_v2/vonjack/Phi-3.5-mini-instruct-hermes-fc-json/19cd2513-03e8-4d78-b222-566fe3928d2b.json
deleted file mode 100644
index 977b23397..000000000
--- a/data/hfopenllm_v2/vonjack/Phi-3.5-mini-instruct-hermes-fc-json/19cd2513-03e8-4d78-b222-566fe3928d2b.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/vonjack_Phi-3.5-mini-instruct-hermes-fc-json/1762652580.5900009",
-  "retrieved_timestamp": "1762652580.5900018",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
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-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "vonjack/Phi-3.5-mini-instruct-hermes-fc-json",
-    "developer": "vonjack",
-    "inference_platform": "unknown",
-    "id": "vonjack/Phi-3.5-mini-instruct-hermes-fc-json",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "?",
-      "params_billions": 4.132
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.14158432957885078
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-    {
-      "evaluation_name": "BBH",
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-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.29747555432824196
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.0075528700906344415
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.25419463087248323
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.40413541666666664
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11386303191489362
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/vonjack/Phi-3.5-mini-instruct-hermes-fc-json/448cac5f-a7d3-41fb-9b49-666758037eb4.json b/data/hfopenllm_v2/vonjack/Phi-3.5-mini-instruct-hermes-fc-json/448cac5f-a7d3-41fb-9b49-666758037eb4.json
new file mode 100644
index 000000000..745062dbb
--- /dev/null
+++ b/data/hfopenllm_v2/vonjack/Phi-3.5-mini-instruct-hermes-fc-json/448cac5f-a7d3-41fb-9b49-666758037eb4.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/vonjack_Phi-3.5-mini-instruct-hermes-fc-json/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Phi-3.5-mini-instruct-hermes-fc-json",
+    "id": "vonjack/Phi-3.5-mini-instruct-hermes-fc-json",
+    "developer": "vonjack",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "?",
+      "params_billions": 4.132
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1416
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2975
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0076
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2542
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4041
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1139
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/vonjack/Qwen2.5-Coder-0.5B-Merged/5d7c5ac1-84c3-4fd1-ac51-4c00ed8c59c7.json b/data/hfopenllm_v2/vonjack/Qwen2.5-Coder-0.5B-Merged/5d7c5ac1-84c3-4fd1-ac51-4c00ed8c59c7.json
new file mode 100644
index 000000000..7da1c30b9
--- /dev/null
+++ b/data/hfopenllm_v2/vonjack/Qwen2.5-Coder-0.5B-Merged/5d7c5ac1-84c3-4fd1-ac51-4c00ed8c59c7.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/vonjack_Qwen2.5-Coder-0.5B-Merged/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-Coder-0.5B-Merged",
+    "id": "vonjack/Qwen2.5-Coder-0.5B-Merged",
+    "developer": "vonjack",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 0.63
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
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+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+      "score_details": {
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+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "max_score": 1.0
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+        "hf_repo": "Idavidrein/gpqa"
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+    {
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+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
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+      }
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/vonjack/SmolLM2-1.7B-Merged/7e1741cc-f9ea-4940-9b6b-d7a515cfce31.json b/data/hfopenllm_v2/vonjack/SmolLM2-1.7B-Merged/7e1741cc-f9ea-4940-9b6b-d7a515cfce31.json
new file mode 100644
index 000000000..a43b36871
--- /dev/null
+++ b/data/hfopenllm_v2/vonjack/SmolLM2-1.7B-Merged/7e1741cc-f9ea-4940-9b6b-d7a515cfce31.json
@@ -0,0 +1,132 @@
+{
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+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "SmolLM2-1.7B-Merged",
+    "id": "vonjack/SmolLM2-1.7B-Merged",
+    "developer": "vonjack",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 1.711
+    }
+  },
+  "evaluation_results": [
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
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+        "score_type": "continuous",
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+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
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+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
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+        "hf_repo": "Idavidrein/gpqa"
+      },
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+        "evaluation_description": "Accuracy on GPQA",
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+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+    },
+    {
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+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
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+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/vonjack/SmolLM2-1.7B-Merged/97bab408-a5f5-4363-b530-dc4a6966c859.json b/data/hfopenllm_v2/vonjack/SmolLM2-1.7B-Merged/97bab408-a5f5-4363-b530-dc4a6966c859.json
deleted file mode 100644
index 2cb064ca3..000000000
--- a/data/hfopenllm_v2/vonjack/SmolLM2-1.7B-Merged/97bab408-a5f5-4363-b530-dc4a6966c859.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/vonjack_SmolLM2-1.7B-Merged/1762652580.5904331",
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-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
-    "name": "vonjack/SmolLM2-1.7B-Merged",
-    "developer": "vonjack",
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-    "id": "vonjack/SmolLM2-1.7B-Merged",
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-    {
-      "evaluation_name": "IFEval",
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-    {
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-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-}
diff --git a/data/hfopenllm_v2/vonjack/SmolLM2-135M-Merged/2c1cab05-b63f-49ca-a709-b5a4e859ba82.json b/data/hfopenllm_v2/vonjack/SmolLM2-135M-Merged/2c1cab05-b63f-49ca-a709-b5a4e859ba82.json
deleted file mode 100644
index 0631717dc..000000000
--- a/data/hfopenllm_v2/vonjack/SmolLM2-135M-Merged/2c1cab05-b63f-49ca-a709-b5a4e859ba82.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/vonjack_SmolLM2-135M-Merged/1762652580.590627",
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-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-    "name": "vonjack/SmolLM2-135M-Merged",
-    "developer": "vonjack",
-    "inference_platform": "unknown",
-    "id": "vonjack/SmolLM2-135M-Merged",
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-    },
-    {
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-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
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-}
diff --git a/data/hfopenllm_v2/vonjack/SmolLM2-135M-Merged/ec4d21be-b1a6-47a9-84a4-1a25249c1768.json b/data/hfopenllm_v2/vonjack/SmolLM2-135M-Merged/ec4d21be-b1a6-47a9-84a4-1a25249c1768.json
new file mode 100644
index 000000000..409a63ac3
--- /dev/null
+++ b/data/hfopenllm_v2/vonjack/SmolLM2-135M-Merged/ec4d21be-b1a6-47a9-84a4-1a25249c1768.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/vonjack_SmolLM2-135M-Merged/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "SmolLM2-135M-Merged",
+    "id": "vonjack/SmolLM2-135M-Merged",
+    "developer": "vonjack",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 0.135
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2483
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+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.31
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+    },
+    {
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2383
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3662
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1112
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/vonjack/SmolLM2-360M-Merged/c6b03539-04b3-4ef2-909d-8036a7ea2ae1.json b/data/hfopenllm_v2/vonjack/SmolLM2-360M-Merged/c6b03539-04b3-4ef2-909d-8036a7ea2ae1.json
new file mode 100644
index 000000000..0d45953b7
--- /dev/null
+++ b/data/hfopenllm_v2/vonjack/SmolLM2-360M-Merged/c6b03539-04b3-4ef2-909d-8036a7ea2ae1.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/vonjack_SmolLM2-360M-Merged/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "SmolLM2-360M-Merged",
+    "id": "vonjack/SmolLM2-360M-Merged",
+    "developer": "vonjack",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 0.362
+    }
+  },
+  "evaluation_results": [
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
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+      "metric_config": {
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+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+        "score": 0.3206
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+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3155
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0174
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2559
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3527
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1098
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/vonjack/SmolLM2-360M-Merged/f1980c69-8c24-4fcd-ace1-797195026c7b.json b/data/hfopenllm_v2/vonjack/SmolLM2-360M-Merged/f1980c69-8c24-4fcd-ace1-797195026c7b.json
deleted file mode 100644
index bc1b358b7..000000000
--- a/data/hfopenllm_v2/vonjack/SmolLM2-360M-Merged/f1980c69-8c24-4fcd-ace1-797195026c7b.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/vonjack_SmolLM2-360M-Merged/1762652580.590822",
-  "retrieved_timestamp": "1762652580.590823",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "vonjack/SmolLM2-360M-Merged",
-    "developer": "vonjack",
-    "inference_platform": "unknown",
-    "id": "vonjack/SmolLM2-360M-Merged",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 0.362
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.32058715319795916
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.31548533684955926
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.017371601208459216
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2558724832214765
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3527291666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.10979055851063829
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/w4r10ck/SOLAR-10.7B-Instruct-v1.0-uncensored/9add85f6-b577-449e-8a2f-ae77a2588bc7.json b/data/hfopenllm_v2/w4r10ck/SOLAR-10.7B-Instruct-v1.0-uncensored/9add85f6-b577-449e-8a2f-ae77a2588bc7.json
deleted file mode 100644
index 583b4ed4b..000000000
--- a/data/hfopenllm_v2/w4r10ck/SOLAR-10.7B-Instruct-v1.0-uncensored/9add85f6-b577-449e-8a2f-ae77a2588bc7.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/w4r10ck_SOLAR-10.7B-Instruct-v1.0-uncensored/1762652580.5912771",
-  "retrieved_timestamp": "1762652580.591278",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "w4r10ck/SOLAR-10.7B-Instruct-v1.0-uncensored",
-    "developer": "w4r10ck",
-    "inference_platform": "unknown",
-    "id": "w4r10ck/SOLAR-10.7B-Instruct-v1.0-uncensored",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 10.732
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.38840609582574237
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5301525050503222
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.06570996978851963
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.29446308724832215
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4639479166666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3343583776595745
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/w4r10ck/SOLAR-10.7B-Instruct-v1.0-uncensored/f156ac38-056e-4ef1-bdbe-e83c299a683b.json b/data/hfopenllm_v2/w4r10ck/SOLAR-10.7B-Instruct-v1.0-uncensored/f156ac38-056e-4ef1-bdbe-e83c299a683b.json
new file mode 100644
index 000000000..1c4c50f83
--- /dev/null
+++ b/data/hfopenllm_v2/w4r10ck/SOLAR-10.7B-Instruct-v1.0-uncensored/f156ac38-056e-4ef1-bdbe-e83c299a683b.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/w4r10ck_SOLAR-10.7B-Instruct-v1.0-uncensored/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "SOLAR-10.7B-Instruct-v1.0-uncensored",
+    "id": "w4r10ck/SOLAR-10.7B-Instruct-v1.0-uncensored",
+    "developer": "w4r10ck",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 10.732
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3884
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5302
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0657
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2945
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4639
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3344
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/wanlige/li-14b-v0.4-slerp/11d3c8db-300c-4e02-b729-7adba6844ad2.json b/data/hfopenllm_v2/wanlige/li-14b-v0.4-slerp/11d3c8db-300c-4e02-b729-7adba6844ad2.json
new file mode 100644
index 000000000..11b77c784
--- /dev/null
+++ b/data/hfopenllm_v2/wanlige/li-14b-v0.4-slerp/11d3c8db-300c-4e02-b729-7adba6844ad2.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/wanlige_li-14b-v0.4-slerp/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "li-14b-v0.4-slerp",
+    "id": "wanlige/li-14b-v0.4-slerp",
+    "developer": "wanlige",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.766
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4606
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6587
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4192
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4002
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4768
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5372
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/wanlige/li-14b-v0.4-slerp/d2451e41-e4b0-4945-9ace-1b046b11528b.json b/data/hfopenllm_v2/wanlige/li-14b-v0.4-slerp/d2451e41-e4b0-4945-9ace-1b046b11528b.json
deleted file mode 100644
index 71b244834..000000000
--- a/data/hfopenllm_v2/wanlige/li-14b-v0.4-slerp/d2451e41-e4b0-4945-9ace-1b046b11528b.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/wanlige_li-14b-v0.4-slerp/1762652580.591778",
-  "retrieved_timestamp": "1762652580.591778",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "wanlige/li-14b-v0.4-slerp",
-    "developer": "wanlige",
-    "inference_platform": "unknown",
-    "id": "wanlige/li-14b-v0.4-slerp",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 14.766
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4605967721201967
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6587180444175935
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-      }
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diff --git a/data/hfopenllm_v2/wanlige/li-14b-v0.4-slerp0.1/54a93ff0-bff3-4252-ba4a-e99f06b46896.json b/data/hfopenllm_v2/wanlige/li-14b-v0.4-slerp0.1/54a93ff0-bff3-4252-ba4a-e99f06b46896.json
deleted file mode 100644
index e50e0f029..000000000
--- a/data/hfopenllm_v2/wanlige/li-14b-v0.4-slerp0.1/54a93ff0-bff3-4252-ba4a-e99f06b46896.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "source_data": [
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-  "source_metadata": {
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
-    "name": "wanlige/li-14b-v0.4-slerp0.1",
-    "developer": "wanlige",
-    "inference_platform": "unknown",
-    "id": "wanlige/li-14b-v0.4-slerp0.1",
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-        "score_type": "continuous",
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-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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diff --git a/data/hfopenllm_v2/wanlige/li-14b-v0.4-slerp0.1/fc75a820-fc0b-4e50-9304-61f0e93795c0.json b/data/hfopenllm_v2/wanlige/li-14b-v0.4-slerp0.1/fc75a820-fc0b-4e50-9304-61f0e93795c0.json
new file mode 100644
index 000000000..c132d7290
--- /dev/null
+++ b/data/hfopenllm_v2/wanlige/li-14b-v0.4-slerp0.1/fc75a820-fc0b-4e50-9304-61f0e93795c0.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/wanlige_li-14b-v0.4-slerp0.1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "li-14b-v0.4-slerp0.1",
+    "id": "wanlige/li-14b-v0.4-slerp0.1",
+    "developer": "wanlige",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.766
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7923
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6572
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5332
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3591
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4207
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+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5294
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/wanlige/li-14b-v0.4/8965f266-28f1-43f2-b03c-acc4a9478b7c.json b/data/hfopenllm_v2/wanlige/li-14b-v0.4/8965f266-28f1-43f2-b03c-acc4a9478b7c.json
deleted file mode 100644
index fa8d2da85..000000000
--- a/data/hfopenllm_v2/wanlige/li-14b-v0.4/8965f266-28f1-43f2-b03c-acc4a9478b7c.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
-    "name": "wanlige/li-14b-v0.4",
-    "developer": "wanlige",
-    "inference_platform": "unknown",
-    "id": "wanlige/li-14b-v0.4",
-    "additional_details": {
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-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 14.77
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-  "evaluation_results": [
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-      "metric_config": {
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-        "lower_is_better": false,
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-      },
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-    {
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-        "evaluation_description": "Accuracy on MUSR",
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-      },
-      "score_details": {
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-    }
-  ]
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diff --git a/data/hfopenllm_v2/wanlige/li-14b-v0.4/bb66896f-799c-4e17-8b54-af5e795699fa.json b/data/hfopenllm_v2/wanlige/li-14b-v0.4/bb66896f-799c-4e17-8b54-af5e795699fa.json
new file mode 100644
index 000000000..3c975e261
--- /dev/null
+++ b/data/hfopenllm_v2/wanlige/li-14b-v0.4/bb66896f-799c-4e17-8b54-af5e795699fa.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/wanlige_li-14b-v0.4/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "li-14b-v0.4",
+    "id": "wanlige/li-14b-v0.4",
+    "developer": "wanlige",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.77
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.8133
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6544
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5574
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3389
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.446
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5167
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/wannaphong/KhanomTanLLM-Instruct/30a1a786-7478-401f-85ae-57037ada3d32.json b/data/hfopenllm_v2/wannaphong/KhanomTanLLM-Instruct/30a1a786-7478-401f-85ae-57037ada3d32.json
new file mode 100644
index 000000000..2276ead59
--- /dev/null
+++ b/data/hfopenllm_v2/wannaphong/KhanomTanLLM-Instruct/30a1a786-7478-401f-85ae-57037ada3d32.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/wannaphong_KhanomTanLLM-Instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "KhanomTanLLM-Instruct",
+    "id": "wannaphong/KhanomTanLLM-Instruct",
+    "developer": "wannaphong",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 3.447
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1621
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3093
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0136
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2634
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3701
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1119
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/wannaphong/KhanomTanLLM-Instruct/681b02e4-7b57-42b7-9550-59c664511b01.json b/data/hfopenllm_v2/wannaphong/KhanomTanLLM-Instruct/681b02e4-7b57-42b7-9550-59c664511b01.json
deleted file mode 100644
index 9dbe5bed8..000000000
--- a/data/hfopenllm_v2/wannaphong/KhanomTanLLM-Instruct/681b02e4-7b57-42b7-9550-59c664511b01.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/wannaphong_KhanomTanLLM-Instruct/1762652580.59218",
-  "retrieved_timestamp": "1762652580.59218",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "wannaphong/KhanomTanLLM-Instruct",
-    "developer": "wannaphong",
-    "inference_platform": "unknown",
-    "id": "wannaphong/KhanomTanLLM-Instruct",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 3.447
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.16211762567764643
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30931233392513263
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.013595166163141994
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2634228187919463
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37006249999999996
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.1118683510638298
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/waqasali1707/Beast-Soul-new/05430b16-07b6-41a1-ade9-6211cdf8ccf1.json b/data/hfopenllm_v2/waqasali1707/Beast-Soul-new/05430b16-07b6-41a1-ade9-6211cdf8ccf1.json
new file mode 100644
index 000000000..7fbd3aeba
--- /dev/null
+++ b/data/hfopenllm_v2/waqasali1707/Beast-Soul-new/05430b16-07b6-41a1-ade9-6211cdf8ccf1.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/waqasali1707_Beast-Soul-new/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Beast-Soul-new",
+    "id": "waqasali1707/Beast-Soul-new",
+    "developer": "waqasali1707",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.503
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5225
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0702
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2827
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4486
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3108
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/waqasali1707/Beast-Soul-new/c04bef75-d3cc-463e-ac24-a2b18d3611af.json b/data/hfopenllm_v2/waqasali1707/Beast-Soul-new/c04bef75-d3cc-463e-ac24-a2b18d3611af.json
deleted file mode 100644
index d55a4c7ad..000000000
--- a/data/hfopenllm_v2/waqasali1707/Beast-Soul-new/c04bef75-d3cc-463e-ac24-a2b18d3611af.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/waqasali1707_Beast-Soul-new/1762652580.592428",
-  "retrieved_timestamp": "1762652580.592428",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "waqasali1707/Beast-Soul-new",
-    "developer": "waqasali1707",
-    "inference_platform": "unknown",
-    "id": "waqasali1707/Beast-Soul-new",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 7.242
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5029865202108184
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.522494907014536
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.0702416918429003
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2827181208053691
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4485625
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3107546542553192
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/wave-on-discord/qwent-7b/09bc4d5a-f104-4a36-999c-11e2532eef1e.json b/data/hfopenllm_v2/wave-on-discord/qwent-7b/09bc4d5a-f104-4a36-999c-11e2532eef1e.json
new file mode 100644
index 000000000..3152ab264
--- /dev/null
+++ b/data/hfopenllm_v2/wave-on-discord/qwent-7b/09bc4d5a-f104-4a36-999c-11e2532eef1e.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/wave-on-discord_qwent-7b/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "qwent-7b",
+    "id": "wave-on-discord/qwent-7b",
+    "developer": "wave-on-discord",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2015
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4228
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0038
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2651
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3817
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1603
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/weathermanj/Menda-3B-500/468d60fa-5c01-41bd-a791-e0e86c2d02bf.json b/data/hfopenllm_v2/weathermanj/Menda-3B-500/468d60fa-5c01-41bd-a791-e0e86c2d02bf.json
deleted file mode 100644
index 7b9e7219c..000000000
--- a/data/hfopenllm_v2/weathermanj/Menda-3B-500/468d60fa-5c01-41bd-a791-e0e86c2d02bf.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/weathermanj_Menda-3B-500/1762652580.593058",
-  "retrieved_timestamp": "1762652580.593059",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "weathermanj/Menda-3B-500",
-    "developer": "weathermanj",
-    "inference_platform": "unknown",
-    "id": "weathermanj/Menda-3B-500",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 3.086
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6353021095138676
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4766312519942703
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3723564954682779
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.287751677852349
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.39679166666666665
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3474900265957447
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/weathermanj/Menda-3B-500/a92cfff6-6caf-4bf1-913a-9d7dd2d8d449.json b/data/hfopenllm_v2/weathermanj/Menda-3B-500/a92cfff6-6caf-4bf1-913a-9d7dd2d8d449.json
new file mode 100644
index 000000000..cc66f0e58
--- /dev/null
+++ b/data/hfopenllm_v2/weathermanj/Menda-3B-500/a92cfff6-6caf-4bf1-913a-9d7dd2d8d449.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/weathermanj_Menda-3B-500/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Menda-3B-500",
+    "id": "weathermanj/Menda-3B-500",
+    "developer": "weathermanj",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 3.086
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6353
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4766
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3724
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2878
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3968
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3475
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/weathermanj/Menda-3b-750/8972e92c-ebbe-4dc4-8a8c-6f7a42ab5c11.json b/data/hfopenllm_v2/weathermanj/Menda-3b-750/8972e92c-ebbe-4dc4-8a8c-6f7a42ab5c11.json
new file mode 100644
index 000000000..ed1d22611
--- /dev/null
+++ b/data/hfopenllm_v2/weathermanj/Menda-3b-750/8972e92c-ebbe-4dc4-8a8c-6f7a42ab5c11.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/weathermanj_Menda-3b-750/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Menda-3b-750",
+    "id": "weathermanj/Menda-3b-750",
+    "developer": "weathermanj",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 3.086
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6335
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4737
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3716
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2878
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3942
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3506
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/weathermanj/Menda-3b-750/9f1f8a2e-3a63-4b8e-85e9-141477fddcc3.json b/data/hfopenllm_v2/weathermanj/Menda-3b-750/9f1f8a2e-3a63-4b8e-85e9-141477fddcc3.json
deleted file mode 100644
index 87b072542..000000000
--- a/data/hfopenllm_v2/weathermanj/Menda-3b-750/9f1f8a2e-3a63-4b8e-85e9-141477fddcc3.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/weathermanj_Menda-3b-750/1762652580.593308",
-  "retrieved_timestamp": "1762652580.593309",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "weathermanj/Menda-3b-750",
-    "developer": "weathermanj",
-    "inference_platform": "unknown",
-    "id": "weathermanj/Menda-3b-750",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 3.086
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6335035483627884
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4736825577251204
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3716012084592145
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.287751677852349
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.39418749999999997
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3505651595744681
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/weathermanj/Menda-3b-Optim-100/e33fb04e-ac99-423f-ac8c-5268e527bf34.json b/data/hfopenllm_v2/weathermanj/Menda-3b-Optim-100/e33fb04e-ac99-423f-ac8c-5268e527bf34.json
deleted file mode 100644
index 048311d8e..000000000
--- a/data/hfopenllm_v2/weathermanj/Menda-3b-Optim-100/e33fb04e-ac99-423f-ac8c-5268e527bf34.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/weathermanj_Menda-3b-Optim-100/1762652580.5935092",
-  "retrieved_timestamp": "1762652580.59351",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "weathermanj/Menda-3b-Optim-100",
-    "developer": "weathermanj",
-    "inference_platform": "unknown",
-    "id": "weathermanj/Menda-3b-Optim-100",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 3.086
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6398234462337709
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.47348022177793836
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3716012084592145
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.28942953020134227
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.39930208333333334
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3460771276595745
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/weathermanj/Menda-3b-Optim-100/e4f39815-9704-4d0a-8d9b-39359367adcc.json b/data/hfopenllm_v2/weathermanj/Menda-3b-Optim-100/e4f39815-9704-4d0a-8d9b-39359367adcc.json
new file mode 100644
index 000000000..d3fdfc367
--- /dev/null
+++ b/data/hfopenllm_v2/weathermanj/Menda-3b-Optim-100/e4f39815-9704-4d0a-8d9b-39359367adcc.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/weathermanj_Menda-3b-Optim-100/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Menda-3b-Optim-100",
+    "id": "weathermanj/Menda-3b-Optim-100",
+    "developer": "weathermanj",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 3.086
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6398
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4735
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3716
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2894
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3993
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3461
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/weathermanj/Menda-3b-Optim-200/b8b84752-c112-47be-8a86-35ca0e578301.json b/data/hfopenllm_v2/weathermanj/Menda-3b-Optim-200/b8b84752-c112-47be-8a86-35ca0e578301.json
deleted file mode 100644
index bc7ef7b65..000000000
--- a/data/hfopenllm_v2/weathermanj/Menda-3b-Optim-200/b8b84752-c112-47be-8a86-35ca0e578301.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/weathermanj_Menda-3b-Optim-200/1762652580.5937102",
-  "retrieved_timestamp": "1762652580.5937111",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "weathermanj/Menda-3b-Optim-200",
-    "developer": "weathermanj",
-    "inference_platform": "unknown",
-    "id": "weathermanj/Menda-3b-Optim-200",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 3.086
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6374752323834094
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.47460604908284837
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3731117824773414
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2827181208053691
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.40330208333333334
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3484042553191489
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/weathermanj/Menda-3b-Optim-200/f40df456-eb9a-46f8-8fb0-b6ad2748f3c2.json b/data/hfopenllm_v2/weathermanj/Menda-3b-Optim-200/f40df456-eb9a-46f8-8fb0-b6ad2748f3c2.json
new file mode 100644
index 000000000..dc2afd5e8
--- /dev/null
+++ b/data/hfopenllm_v2/weathermanj/Menda-3b-Optim-200/f40df456-eb9a-46f8-8fb0-b6ad2748f3c2.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/weathermanj_Menda-3b-Optim-200/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Menda-3b-Optim-200",
+    "id": "weathermanj/Menda-3b-Optim-200",
+    "developer": "weathermanj",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 3.086
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6375
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4746
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3731
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2827
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4033
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3484
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/win10/ArliAI-RPMax-v1.3-merge-13.3B/16777b0f-3063-45eb-be07-294d13f975ac.json b/data/hfopenllm_v2/win10/ArliAI-RPMax-v1.3-merge-13.3B/16777b0f-3063-45eb-be07-294d13f975ac.json
deleted file mode 100644
index 7ccfd02ef..000000000
--- a/data/hfopenllm_v2/win10/ArliAI-RPMax-v1.3-merge-13.3B/16777b0f-3063-45eb-be07-294d13f975ac.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/win10_ArliAI-RPMax-v1.3-merge-13.3B/1762652580.593927",
-  "retrieved_timestamp": "1762652580.5939279",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "win10/ArliAI-RPMax-v1.3-merge-13.3B",
-    "developer": "win10",
-    "inference_platform": "unknown",
-    "id": "win10/ArliAI-RPMax-v1.3-merge-13.3B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 13.265
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3038260703821416
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4581388671914119
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.03927492447129909
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.27432885906040266
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4325104166666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.31998005319148937
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/win10/ArliAI-RPMax-v1.3-merge-13.3B/398996d9-299b-4120-a757-e2fe14e779ee.json b/data/hfopenllm_v2/win10/ArliAI-RPMax-v1.3-merge-13.3B/398996d9-299b-4120-a757-e2fe14e779ee.json
new file mode 100644
index 000000000..8283795f0
--- /dev/null
+++ b/data/hfopenllm_v2/win10/ArliAI-RPMax-v1.3-merge-13.3B/398996d9-299b-4120-a757-e2fe14e779ee.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/win10_ArliAI-RPMax-v1.3-merge-13.3B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "ArliAI-RPMax-v1.3-merge-13.3B",
+    "id": "win10/ArliAI-RPMax-v1.3-merge-13.3B",
+    "developer": "win10",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 13.265
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3038
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4581
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0393
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2743
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4325
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.32
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/win10/Breeze-13B-32k-Instruct-v1_0/4398633e-77b0-4b61-ae85-29b0e5aad38b.json b/data/hfopenllm_v2/win10/Breeze-13B-32k-Instruct-v1_0/4398633e-77b0-4b61-ae85-29b0e5aad38b.json
new file mode 100644
index 000000000..4e29ec855
--- /dev/null
+++ b/data/hfopenllm_v2/win10/Breeze-13B-32k-Instruct-v1_0/4398633e-77b0-4b61-ae85-29b0e5aad38b.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/win10_Breeze-13B-32k-Instruct-v1_0/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Breeze-13B-32k-Instruct-v1_0",
+    "id": "win10/Breeze-13B-32k-Instruct-v1_0",
+    "developer": "win10",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 12.726
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3584
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4611
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0128
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2643
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4202
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2568
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/win10/Breeze-13B-32k-Instruct-v1_0/bc990db1-c6d9-4113-9946-466bfd5cf9cc.json b/data/hfopenllm_v2/win10/Breeze-13B-32k-Instruct-v1_0/bc990db1-c6d9-4113-9946-466bfd5cf9cc.json
deleted file mode 100644
index c4ca07999..000000000
--- a/data/hfopenllm_v2/win10/Breeze-13B-32k-Instruct-v1_0/bc990db1-c6d9-4113-9946-466bfd5cf9cc.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/win10_Breeze-13B-32k-Instruct-v1_0/1762652580.5941818",
-  "retrieved_timestamp": "1762652580.594183",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "win10/Breeze-13B-32k-Instruct-v1_0",
-    "developer": "win10",
-    "inference_platform": "unknown",
-    "id": "win10/Breeze-13B-32k-Instruct-v1_0",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MistralForCausalLM",
-      "params_billions": 12.726
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.35843118481185476
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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diff --git a/data/hfopenllm_v2/win10/EVA-Norns-Qwen2.5-v0.1/1bc60148-512f-4830-b541-f30535cf74bf.json b/data/hfopenllm_v2/win10/EVA-Norns-Qwen2.5-v0.1/1bc60148-512f-4830-b541-f30535cf74bf.json
new file mode 100644
index 000000000..2e96decff
--- /dev/null
+++ b/data/hfopenllm_v2/win10/EVA-Norns-Qwen2.5-v0.1/1bc60148-512f-4830-b541-f30535cf74bf.json
@@ -0,0 +1,132 @@
+{
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+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
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+    "id": "win10/EVA-Norns-Qwen2.5-v0.1",
+    "developer": "win10",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
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+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
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+        "score_type": "continuous",
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+        "max_score": 1.0
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+    {
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+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
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+        "evaluation_description": "Exact Match on MATH Level 5",
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+        "hf_repo": "TAUR-Lab/MuSR"
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+        "evaluation_description": "Accuracy on MUSR",
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/win10/Llama-3.2-3B-Instruct-24-9-29/a9dfb20a-13e0-4419-a747-7c001b2e9435.json b/data/hfopenllm_v2/win10/Llama-3.2-3B-Instruct-24-9-29/a9dfb20a-13e0-4419-a747-7c001b2e9435.json
new file mode 100644
index 000000000..e291ffe11
--- /dev/null
+++ b/data/hfopenllm_v2/win10/Llama-3.2-3B-Instruct-24-9-29/a9dfb20a-13e0-4419-a747-7c001b2e9435.json
@@ -0,0 +1,132 @@
+{
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+  "source_metadata": {
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+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
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+    "name": "Llama-3.2-3B-Instruct-24-9-29",
+    "id": "win10/Llama-3.2-3B-Instruct-24-9-29",
+    "developer": "win10",
+    "inference_platform": "unknown",
+    "additional_details": {
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+      "architecture": "LlamaForCausalLM",
+      "params_billions": 3.213
+    }
+  },
+  "evaluation_results": [
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
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+    {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
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+        "hf_repo": "TAUR-Lab/MuSR"
+      },
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+        "lower_is_better": false,
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
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+        "evaluation_description": "Accuracy on MMLU-PRO",
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+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/win10/Llama-3.2-3B-Instruct-24-9-29/bf253a63-4685-4e51-8a0d-5209306926c8.json b/data/hfopenllm_v2/win10/Llama-3.2-3B-Instruct-24-9-29/bf253a63-4685-4e51-8a0d-5209306926c8.json
deleted file mode 100644
index 6fc6cefc9..000000000
--- a/data/hfopenllm_v2/win10/Llama-3.2-3B-Instruct-24-9-29/bf253a63-4685-4e51-8a0d-5209306926c8.json
+++ /dev/null
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diff --git a/data/hfopenllm_v2/win10/Norns-Qwen2.5-12B/388e3559-a3b6-4738-9843-9bdd048bae09.json b/data/hfopenllm_v2/win10/Norns-Qwen2.5-12B/388e3559-a3b6-4738-9843-9bdd048bae09.json
new file mode 100644
index 000000000..f5e98a734
--- /dev/null
+++ b/data/hfopenllm_v2/win10/Norns-Qwen2.5-12B/388e3559-a3b6-4738-9843-9bdd048bae09.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/win10_Norns-Qwen2.5-12B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Norns-Qwen2.5-12B",
+    "id": "win10/Norns-Qwen2.5-12B",
+    "developer": "win10",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
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+    }
+  },
+  "evaluation_results": [
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
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+        "score_type": "continuous",
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
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+      "metric_config": {
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+        "score_type": "continuous",
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+    },
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
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+        "score_type": "continuous",
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+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
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+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
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+        "max_score": 1.0
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+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/win10/Norns-Qwen2.5-7B/994a6930-42d5-463a-9e7c-0a3070144211.json b/data/hfopenllm_v2/win10/Norns-Qwen2.5-7B/994a6930-42d5-463a-9e7c-0a3070144211.json
new file mode 100644
index 000000000..a0a55bfe7
--- /dev/null
+++ b/data/hfopenllm_v2/win10/Norns-Qwen2.5-7B/994a6930-42d5-463a-9e7c-0a3070144211.json
@@ -0,0 +1,132 @@
+{
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+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Norns-Qwen2.5-7B",
+    "id": "win10/Norns-Qwen2.5-7B",
+    "developer": "win10",
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+    "additional_details": {
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+      "architecture": "Qwen2ForCausalLM",
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+    }
+  },
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+    {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
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+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5073
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2628
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2844
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4085
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3413
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/win10/Qwen2.5-2B-Instruct/143dc973-1063-45d6-9747-9f24a9ae5657.json b/data/hfopenllm_v2/win10/Qwen2.5-2B-Instruct/143dc973-1063-45d6-9747-9f24a9ae5657.json
deleted file mode 100644
index 19e8be69c..000000000
--- a/data/hfopenllm_v2/win10/Qwen2.5-2B-Instruct/143dc973-1063-45d6-9747-9f24a9ae5657.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/win10_Qwen2.5-2B-Instruct/1762652580.5952861",
-  "retrieved_timestamp": "1762652580.595287",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "win10/Qwen2.5-2B-Instruct",
-    "developer": "win10",
-    "inference_platform": "unknown",
-    "id": "win10/Qwen2.5-2B-Instruct",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 2.9
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.22728914834860392
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3705905854806977
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.022658610271903322
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2676174496644295
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.43784375000000003
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.19340093085106383
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/win10/Qwen2.5-2B-Instruct/cce46320-9794-443a-831a-92e2a21515b0.json b/data/hfopenllm_v2/win10/Qwen2.5-2B-Instruct/cce46320-9794-443a-831a-92e2a21515b0.json
new file mode 100644
index 000000000..0e10fdee0
--- /dev/null
+++ b/data/hfopenllm_v2/win10/Qwen2.5-2B-Instruct/cce46320-9794-443a-831a-92e2a21515b0.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/win10_Qwen2.5-2B-Instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-2B-Instruct",
+    "id": "win10/Qwen2.5-2B-Instruct",
+    "developer": "win10",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 2.9
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2273
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3706
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0227
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2676
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4378
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1934
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/win10/llama3-13.45b-Instruct/3c9eb291-6171-4d40-aa5f-58d39738fdcb.json b/data/hfopenllm_v2/win10/llama3-13.45b-Instruct/3c9eb291-6171-4d40-aa5f-58d39738fdcb.json
deleted file mode 100644
index d60fd3caa..000000000
--- a/data/hfopenllm_v2/win10/llama3-13.45b-Instruct/3c9eb291-6171-4d40-aa5f-58d39738fdcb.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/win10_llama3-13.45b-Instruct/1762652580.595499",
-  "retrieved_timestamp": "1762652580.5955",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "win10/llama3-13.45b-Instruct",
-    "developer": "win10",
-    "inference_platform": "unknown",
-    "id": "win10/llama3-13.45b-Instruct",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 13.265
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4144348107465968
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.486541523346714
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.02416918429003021
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.25838926174496646
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.38476041666666666
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3345246010638298
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/win10/llama3-13.45b-Instruct/988f4cc0-ebfb-43a9-8a7f-3dd1f1c1e342.json b/data/hfopenllm_v2/win10/llama3-13.45b-Instruct/988f4cc0-ebfb-43a9-8a7f-3dd1f1c1e342.json
new file mode 100644
index 000000000..4c991522b
--- /dev/null
+++ b/data/hfopenllm_v2/win10/llama3-13.45b-Instruct/988f4cc0-ebfb-43a9-8a7f-3dd1f1c1e342.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/win10_llama3-13.45b-Instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "llama3-13.45b-Instruct",
+    "id": "win10/llama3-13.45b-Instruct",
+    "developer": "win10",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 13.265
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4144
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4865
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0242
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2584
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3848
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3345
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/win10/miscii-14b-1M-0128/3c675148-5d09-4778-baad-9295ef8cfc79.json b/data/hfopenllm_v2/win10/miscii-14b-1M-0128/3c675148-5d09-4778-baad-9295ef8cfc79.json
new file mode 100644
index 000000000..be52a6670
--- /dev/null
+++ b/data/hfopenllm_v2/win10/miscii-14b-1M-0128/3c675148-5d09-4778-baad-9295ef8cfc79.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/win10_miscii-14b-1M-0128/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "miscii-14b-1M-0128",
+    "id": "win10/miscii-14b-1M-0128",
+    "developer": "win10",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 14.766
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4181
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5742
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4773
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/win10/miscii-14b-1M-0128/c19f2ddd-7710-4844-9f1f-c0cd1c7e3e41.json b/data/hfopenllm_v2/win10/miscii-14b-1M-0128/c19f2ddd-7710-4844-9f1f-c0cd1c7e3e41.json
deleted file mode 100644
index 142295669..000000000
--- a/data/hfopenllm_v2/win10/miscii-14b-1M-0128/c19f2ddd-7710-4844-9f1f-c0cd1c7e3e41.json
+++ /dev/null
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diff --git a/data/hfopenllm_v2/winglian/Llama-3-8b-64k-PoSE/620b80ba-81ab-4504-9f42-4965014f3cd1.json b/data/hfopenllm_v2/winglian/Llama-3-8b-64k-PoSE/620b80ba-81ab-4504-9f42-4965014f3cd1.json
new file mode 100644
index 000000000..6c33d53ee
--- /dev/null
+++ b/data/hfopenllm_v2/winglian/Llama-3-8b-64k-PoSE/620b80ba-81ab-4504-9f42-4965014f3cd1.json
@@ -0,0 +1,132 @@
+{
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+    "developer": "winglian",
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+        "hf_repo": "TAUR-Lab/MuSR"
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/winglian/llama-3-8b-256k-PoSE/b6c68fc1-c2c1-4cdf-91ef-2007becd7ade.json b/data/hfopenllm_v2/winglian/llama-3-8b-256k-PoSE/b6c68fc1-c2c1-4cdf-91ef-2007becd7ade.json
new file mode 100644
index 000000000..e3d0f5b20
--- /dev/null
+++ b/data/hfopenllm_v2/winglian/llama-3-8b-256k-PoSE/b6c68fc1-c2c1-4cdf-91ef-2007becd7ade.json
@@ -0,0 +1,132 @@
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+        "hf_repo": "TAUR-Lab/MuSR"
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/wzhouad/gemma-2-9b-it-WPO-HB/19279c18-c2f7-4f75-a9c5-a121b2d4bcff.json b/data/hfopenllm_v2/wzhouad/gemma-2-9b-it-WPO-HB/19279c18-c2f7-4f75-a9c5-a121b2d4bcff.json
new file mode 100644
index 000000000..7af55e4ae
--- /dev/null
+++ b/data/hfopenllm_v2/wzhouad/gemma-2-9b-it-WPO-HB/19279c18-c2f7-4f75-a9c5-a121b2d4bcff.json
@@ -0,0 +1,132 @@
+{
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+  "source_metadata": {
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+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
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+  "model_info": {
+    "name": "gemma-2-9b-it-WPO-HB",
+    "id": "wzhouad/gemma-2-9b-it-WPO-HB",
+    "developer": "wzhouad",
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+        "hf_repo": "TIGER-Lab/MMLU-Pro"
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+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.336
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/x0000001/Deepseek-Lumen-R1-Qwen2.5-14B/7966789d-8ace-4b39-9093-96bbb8e641d8.json b/data/hfopenllm_v2/x0000001/Deepseek-Lumen-R1-Qwen2.5-14B/7966789d-8ace-4b39-9093-96bbb8e641d8.json
new file mode 100644
index 000000000..1d76659b4
--- /dev/null
+++ b/data/hfopenllm_v2/x0000001/Deepseek-Lumen-R1-Qwen2.5-14B/7966789d-8ace-4b39-9093-96bbb8e641d8.json
@@ -0,0 +1,132 @@
+{
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+  "evaluation_id": "hfopenllm_v2/x0000001_Deepseek-Lumen-R1-Qwen2.5-14B/1770682486.623709",
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+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
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+  "model_info": {
+    "name": "Deepseek-Lumen-R1-Qwen2.5-14B",
+    "id": "x0000001/Deepseek-Lumen-R1-Qwen2.5-14B",
+    "developer": "x0000001",
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+  "evaluation_results": [
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+    },
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+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+      }
+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/xMaulana/FinMatcha-3B-Instruct/105021c8-c214-4a6a-ac3b-747c4c48886e.json b/data/hfopenllm_v2/xMaulana/FinMatcha-3B-Instruct/105021c8-c214-4a6a-ac3b-747c4c48886e.json
deleted file mode 100644
index f68994089..000000000
--- a/data/hfopenllm_v2/xMaulana/FinMatcha-3B-Instruct/105021c8-c214-4a6a-ac3b-747c4c48886e.json
+++ /dev/null
@@ -1,105 +0,0 @@
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-    "id": "xMaulana/FinMatcha-3B-Instruct",
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diff --git a/data/hfopenllm_v2/xMaulana/FinMatcha-3B-Instruct/5e1d849d-0342-4de9-a7d8-dd5cd5960fac.json b/data/hfopenllm_v2/xMaulana/FinMatcha-3B-Instruct/5e1d849d-0342-4de9-a7d8-dd5cd5960fac.json
new file mode 100644
index 000000000..ef5a60545
--- /dev/null
+++ b/data/hfopenllm_v2/xMaulana/FinMatcha-3B-Instruct/5e1d849d-0342-4de9-a7d8-dd5cd5960fac.json
@@ -0,0 +1,132 @@
+{
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+  "source_metadata": {
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+    "source_type": "documentation",
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+    "id": "xMaulana/FinMatcha-3B-Instruct",
+    "developer": "xMaulana",
+    "inference_platform": "unknown",
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+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 3.213
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
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+      },
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
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+        "evaluation_description": "Accuracy on MMLU-PRO",
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/xinchen9/Llama3.1_8B_Instruct_CoT/a17563e3-0369-4042-8006-2ec781653f63.json b/data/hfopenllm_v2/xinchen9/Llama3.1_8B_Instruct_CoT/a17563e3-0369-4042-8006-2ec781653f63.json
new file mode 100644
index 000000000..6fe27572a
--- /dev/null
+++ b/data/hfopenllm_v2/xinchen9/Llama3.1_8B_Instruct_CoT/a17563e3-0369-4042-8006-2ec781653f63.json
@@ -0,0 +1,132 @@
+{
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+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
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+        "max_score": 1.0
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/xinchen9/Llama3.1_CoT/68369110-e371-4112-ae0a-14f7fe9fc40f.json b/data/hfopenllm_v2/xinchen9/Llama3.1_CoT/68369110-e371-4112-ae0a-14f7fe9fc40f.json
new file mode 100644
index 000000000..9bdeb1364
--- /dev/null
+++ b/data/hfopenllm_v2/xinchen9/Llama3.1_CoT/68369110-e371-4112-ae0a-14f7fe9fc40f.json
@@ -0,0 +1,132 @@
+{
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+  "evaluation_id": "hfopenllm_v2/xinchen9_Llama3.1_CoT/1770682486.623709",
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+  "source_metadata": {
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+    "source_type": "documentation",
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+    "developer": "xinchen9",
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
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+        "max_score": 1.0
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
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+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "max_score": 1.0
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
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+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/xinchen9/Llama3.1_CoT_V1/2a6925d3-992f-4c4f-a57b-3eb41062743b.json b/data/hfopenllm_v2/xinchen9/Llama3.1_CoT_V1/2a6925d3-992f-4c4f-a57b-3eb41062743b.json
new file mode 100644
index 000000000..cd826b22d
--- /dev/null
+++ b/data/hfopenllm_v2/xinchen9/Llama3.1_CoT_V1/2a6925d3-992f-4c4f-a57b-3eb41062743b.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/xinchen9_Llama3.1_CoT_V1/1770682486.623709",
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+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
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+    "id": "xinchen9/Llama3.1_CoT_V1",
+    "developer": "xinchen9",
+    "inference_platform": "unknown",
+    "additional_details": {
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+      "architecture": "LlamaForCausalLM",
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+        "max_score": 1.0
+      },
+      "score_details": {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+    },
+    {
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+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4572
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2805
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/xinchen9/Mistral-7B-CoT/28290ea9-9ce5-4605-ac5b-aa2d606994d8.json b/data/hfopenllm_v2/xinchen9/Mistral-7B-CoT/28290ea9-9ce5-4605-ac5b-aa2d606994d8.json
new file mode 100644
index 000000000..678ee6b2d
--- /dev/null
+++ b/data/hfopenllm_v2/xinchen9/Mistral-7B-CoT/28290ea9-9ce5-4605-ac5b-aa2d606994d8.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/xinchen9_Mistral-7B-CoT/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Mistral-7B-CoT",
+    "id": "xinchen9/Mistral-7B-CoT",
+    "developer": "xinchen9",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2783
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3873
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0249
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2492
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3994
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2284
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/xinchen9/llama3-b8-ft-dis/5ea3a084-bc30-4390-97a2-1933c5422790.json b/data/hfopenllm_v2/xinchen9/llama3-b8-ft-dis/5ea3a084-bc30-4390-97a2-1933c5422790.json
deleted file mode 100644
index b50eb96de..000000000
--- a/data/hfopenllm_v2/xinchen9/llama3-b8-ft-dis/5ea3a084-bc30-4390-97a2-1933c5422790.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/xinchen9_llama3-b8-ft-dis/1762652580.598142",
-  "retrieved_timestamp": "1762652580.598142",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "xinchen9/llama3-b8-ft-dis",
-    "developer": "xinchen9",
-    "inference_platform": "unknown",
-    "id": "xinchen9/llama3-b8-ft-dis",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
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-    },
-    {
-      "evaluation_name": "BBH",
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-        "score_type": "continuous",
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-    {
-      "evaluation_name": "MATH Level 5",
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-        "lower_is_better": false,
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-    },
-    {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.31291946308724833
-      }
-    },
-    {
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-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.365375
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/xinchen9/llama3-b8-ft-dis/eb2ed6eb-4789-400d-aea5-841547a20cd7.json b/data/hfopenllm_v2/xinchen9/llama3-b8-ft-dis/eb2ed6eb-4789-400d-aea5-841547a20cd7.json
new file mode 100644
index 000000000..bb558ab87
--- /dev/null
+++ b/data/hfopenllm_v2/xinchen9/llama3-b8-ft-dis/eb2ed6eb-4789-400d-aea5-841547a20cd7.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/xinchen9_llama3-b8-ft-dis/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "llama3-b8-ft-dis",
+    "id": "xinchen9/llama3-b8-ft-dis",
+    "developer": "xinchen9",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1546
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4626
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0393
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3129
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3654
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3244
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/xkp24/Llama-3-8B-Instruct-SPPO-Iter2_bt_2b-table/873218a0-7ddb-4287-88ce-8c8214e85c85.json b/data/hfopenllm_v2/xkp24/Llama-3-8B-Instruct-SPPO-Iter2_bt_2b-table/873218a0-7ddb-4287-88ce-8c8214e85c85.json
new file mode 100644
index 000000000..9463f18e7
--- /dev/null
+++ b/data/hfopenllm_v2/xkp24/Llama-3-8B-Instruct-SPPO-Iter2_bt_2b-table/873218a0-7ddb-4287-88ce-8c8214e85c85.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/xkp24_Llama-3-8B-Instruct-SPPO-Iter2_bt_2b-table/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-3-8B-Instruct-SPPO-Iter2_bt_2b-table",
+    "id": "xkp24/Llama-3-8B-Instruct-SPPO-Iter2_bt_2b-table",
+    "developer": "xkp24",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6375
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4912
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0921
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2592
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.382
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3686
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/xkp24/Llama-3-8B-Instruct-SPPO-Iter2_bt_2b-table/a9888e61-bd14-4769-b620-cda908c8ba3e.json b/data/hfopenllm_v2/xkp24/Llama-3-8B-Instruct-SPPO-Iter2_bt_2b-table/a9888e61-bd14-4769-b620-cda908c8ba3e.json
deleted file mode 100644
index a2451465b..000000000
--- a/data/hfopenllm_v2/xkp24/Llama-3-8B-Instruct-SPPO-Iter2_bt_2b-table/a9888e61-bd14-4769-b620-cda908c8ba3e.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/xkp24_Llama-3-8B-Instruct-SPPO-Iter2_bt_2b-table/1762652580.598392",
-  "retrieved_timestamp": "1762652580.5983932",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
-    "name": "xkp24/Llama-3-8B-Instruct-SPPO-Iter2_bt_2b-table",
-    "developer": "xkp24",
-    "inference_platform": "unknown",
-    "id": "xkp24/Llama-3-8B-Instruct-SPPO-Iter2_bt_2b-table",
-    "additional_details": {
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-      "architecture": "LlamaForCausalLM",
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-  "evaluation_results": [
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-      "score_details": {
-        "score": 0.6374752323834094
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-    {
-      "evaluation_name": "BBH",
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-        "max_score": 1
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diff --git a/data/hfopenllm_v2/xkp24/Llama-3-8B-Instruct-SPPO-Iter2_bt_8b-table/99d6ac02-a8f8-409f-ad9d-ce5fd7ed6fe0.json b/data/hfopenllm_v2/xkp24/Llama-3-8B-Instruct-SPPO-Iter2_bt_8b-table/99d6ac02-a8f8-409f-ad9d-ce5fd7ed6fe0.json
deleted file mode 100644
index 1483163b9..000000000
--- a/data/hfopenllm_v2/xkp24/Llama-3-8B-Instruct-SPPO-Iter2_bt_8b-table/99d6ac02-a8f8-409f-ad9d-ce5fd7ed6fe0.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "source_data": [
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
-    "name": "xkp24/Llama-3-8B-Instruct-SPPO-Iter2_bt_8b-table",
-    "developer": "xkp24",
-    "inference_platform": "unknown",
-    "id": "xkp24/Llama-3-8B-Instruct-SPPO-Iter2_bt_8b-table",
-    "additional_details": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-        "max_score": 1
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-      "evaluation_name": "GPQA",
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-        "score_type": "continuous",
-        "min_score": 0,
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-    {
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-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.38190624999999995
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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diff --git a/data/hfopenllm_v2/xkp24/Llama-3-8B-Instruct-SPPO-Iter2_bt_8b-table/e4c32b92-46b4-431a-83f2-11499f587534.json b/data/hfopenllm_v2/xkp24/Llama-3-8B-Instruct-SPPO-Iter2_bt_8b-table/e4c32b92-46b4-431a-83f2-11499f587534.json
new file mode 100644
index 000000000..ea401b3b0
--- /dev/null
+++ b/data/hfopenllm_v2/xkp24/Llama-3-8B-Instruct-SPPO-Iter2_bt_8b-table/e4c32b92-46b4-431a-83f2-11499f587534.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/xkp24_Llama-3-8B-Instruct-SPPO-Iter2_bt_8b-table/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-3-8B-Instruct-SPPO-Iter2_bt_8b-table",
+    "id": "xkp24/Llama-3-8B-Instruct-SPPO-Iter2_bt_8b-table",
+    "developer": "xkp24",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7275
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5057
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0846
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2601
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3819
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3697
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/xkp24/Llama-3-8B-Instruct-SPPO-Iter2_gp_2b-table/71a54215-e97a-4ee6-928c-344bd690b020.json b/data/hfopenllm_v2/xkp24/Llama-3-8B-Instruct-SPPO-Iter2_gp_2b-table/71a54215-e97a-4ee6-928c-344bd690b020.json
deleted file mode 100644
index 6934fb0ea..000000000
--- a/data/hfopenllm_v2/xkp24/Llama-3-8B-Instruct-SPPO-Iter2_gp_2b-table/71a54215-e97a-4ee6-928c-344bd690b020.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
-    "name": "xkp24/Llama-3-8B-Instruct-SPPO-Iter2_gp_2b-table",
-    "developer": "xkp24",
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-    "id": "xkp24/Llama-3-8B-Instruct-SPPO-Iter2_gp_2b-table",
-    "additional_details": {
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-    {
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-        "score_type": "continuous",
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-    {
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-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    }
-  ]
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diff --git a/data/hfopenllm_v2/xkp24/Llama-3-8B-Instruct-SPPO-Iter2_gp_2b-table/a05681a0-07e4-4206-ae89-dee4e9706467.json b/data/hfopenllm_v2/xkp24/Llama-3-8B-Instruct-SPPO-Iter2_gp_2b-table/a05681a0-07e4-4206-ae89-dee4e9706467.json
new file mode 100644
index 000000000..a2cc2910a
--- /dev/null
+++ b/data/hfopenllm_v2/xkp24/Llama-3-8B-Instruct-SPPO-Iter2_gp_2b-table/a05681a0-07e4-4206-ae89-dee4e9706467.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/xkp24_Llama-3-8B-Instruct-SPPO-Iter2_gp_2b-table/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-3-8B-Instruct-SPPO-Iter2_gp_2b-table",
+    "id": "xkp24/Llama-3-8B-Instruct-SPPO-Iter2_gp_2b-table",
+    "developer": "xkp24",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6569
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4952
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0891
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2592
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3594
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3702
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/xkp24/Llama-3-8B-Instruct-SPPO-Iter2_gp_8b-table/2fe15418-16bc-4f60-bad2-7329a3670507.json b/data/hfopenllm_v2/xkp24/Llama-3-8B-Instruct-SPPO-Iter2_gp_8b-table/2fe15418-16bc-4f60-bad2-7329a3670507.json
deleted file mode 100644
index a8a02dbb1..000000000
--- a/data/hfopenllm_v2/xkp24/Llama-3-8B-Instruct-SPPO-Iter2_gp_8b-table/2fe15418-16bc-4f60-bad2-7329a3670507.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/xkp24_Llama-3-8B-Instruct-SPPO-Iter2_gp_8b-table/1762652580.599085",
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-  "source_data": [
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-  "source_metadata": {
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
-    "name": "xkp24/Llama-3-8B-Instruct-SPPO-Iter2_gp_8b-table",
-    "developer": "xkp24",
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-    "id": "xkp24/Llama-3-8B-Instruct-SPPO-Iter2_gp_8b-table",
-    "additional_details": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
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-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
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diff --git a/data/hfopenllm_v2/xkp24/Llama-3-8B-Instruct-SPPO-Iter2_gp_8b-table/b078f823-d603-4030-81a2-a3ca1a1117f9.json b/data/hfopenllm_v2/xkp24/Llama-3-8B-Instruct-SPPO-Iter2_gp_8b-table/b078f823-d603-4030-81a2-a3ca1a1117f9.json
new file mode 100644
index 000000000..0aa1684a6
--- /dev/null
+++ b/data/hfopenllm_v2/xkp24/Llama-3-8B-Instruct-SPPO-Iter2_gp_8b-table/b078f823-d603-4030-81a2-a3ca1a1117f9.json
@@ -0,0 +1,132 @@
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+  "source_metadata": {
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+    "id": "xkp24/Llama-3-8B-Instruct-SPPO-Iter2_gp_8b-table",
+    "developer": "xkp24",
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
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+        "evaluation_description": "Accuracy on MMLU-PRO",
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/xkp24/Llama-3-8B-Instruct-SPPO-score-Iter2_bt_2b-table-0.001/26625158-6720-47c7-8c28-46ca7b4b947e.json b/data/hfopenllm_v2/xkp24/Llama-3-8B-Instruct-SPPO-score-Iter2_bt_2b-table-0.001/26625158-6720-47c7-8c28-46ca7b4b947e.json
new file mode 100644
index 000000000..296a0d099
--- /dev/null
+++ b/data/hfopenllm_v2/xkp24/Llama-3-8B-Instruct-SPPO-score-Iter2_bt_2b-table-0.001/26625158-6720-47c7-8c28-46ca7b4b947e.json
@@ -0,0 +1,132 @@
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+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
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+    "source_type": "documentation",
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+    "evaluator_relationship": "third_party"
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+    "name": "Llama-3-8B-Instruct-SPPO-score-Iter2_bt_2b-table-0.001",
+    "id": "xkp24/Llama-3-8B-Instruct-SPPO-score-Iter2_bt_2b-table-0.001",
+    "developer": "xkp24",
+    "inference_platform": "unknown",
+    "additional_details": {
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+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
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+  "evaluation_results": [
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+    {
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+        "hf_repo": "SaylorTwift/bbh"
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+      },
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+      },
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+    {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/xkp24/Llama-3-8B-Instruct-SPPO-score-Iter2_bt_2b-table-0.001/f6bcff0a-559b-44c1-9c70-259446b3ebe5.json b/data/hfopenllm_v2/xkp24/Llama-3-8B-Instruct-SPPO-score-Iter2_bt_2b-table-0.001/f6bcff0a-559b-44c1-9c70-259446b3ebe5.json
deleted file mode 100644
index ca7af7645..000000000
--- a/data/hfopenllm_v2/xkp24/Llama-3-8B-Instruct-SPPO-score-Iter2_bt_2b-table-0.001/f6bcff0a-559b-44c1-9c70-259446b3ebe5.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/xkp24/Llama-3-8B-Instruct-SPPO-score-Iter2_bt_8b-table-0.002/4deeeff7-f62d-4c42-b32a-98bdd773a758.json b/data/hfopenllm_v2/xkp24/Llama-3-8B-Instruct-SPPO-score-Iter2_bt_8b-table-0.002/4deeeff7-f62d-4c42-b32a-98bdd773a758.json
deleted file mode 100644
index 6617099e6..000000000
--- a/data/hfopenllm_v2/xkp24/Llama-3-8B-Instruct-SPPO-score-Iter2_bt_8b-table-0.002/4deeeff7-f62d-4c42-b32a-98bdd773a758.json
+++ /dev/null
@@ -1,105 +0,0 @@
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-        "score_type": "continuous",
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diff --git a/data/hfopenllm_v2/xkp24/Llama-3-8B-Instruct-SPPO-score-Iter2_bt_8b-table-0.002/5e3e8dec-f14b-4b7a-ace1-1e1728395e84.json b/data/hfopenllm_v2/xkp24/Llama-3-8B-Instruct-SPPO-score-Iter2_bt_8b-table-0.002/5e3e8dec-f14b-4b7a-ace1-1e1728395e84.json
new file mode 100644
index 000000000..ca115a61a
--- /dev/null
+++ b/data/hfopenllm_v2/xkp24/Llama-3-8B-Instruct-SPPO-score-Iter2_bt_8b-table-0.002/5e3e8dec-f14b-4b7a-ace1-1e1728395e84.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/xkp24_Llama-3-8B-Instruct-SPPO-score-Iter2_bt_8b-table-0.002/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
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+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-3-8B-Instruct-SPPO-score-Iter2_bt_8b-table-0.002",
+    "id": "xkp24/Llama-3-8B-Instruct-SPPO-score-Iter2_bt_8b-table-0.002",
+    "developer": "xkp24",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
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+  "evaluation_results": [
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
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+      "score_details": {
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+    {
+      "evaluation_name": "BBH",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
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+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
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+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
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+        "hf_repo": "TAUR-Lab/MuSR"
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
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+        "evaluation_description": "Accuracy on MMLU-PRO",
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/xkp24/Llama-3-8B-Instruct-SPPO-score-Iter2_gp_2b-table-0.001/35b4378e-52cd-4ae1-985b-c8e2c00dc61a.json b/data/hfopenllm_v2/xkp24/Llama-3-8B-Instruct-SPPO-score-Iter2_gp_2b-table-0.001/35b4378e-52cd-4ae1-985b-c8e2c00dc61a.json
new file mode 100644
index 000000000..fbbc12e22
--- /dev/null
+++ b/data/hfopenllm_v2/xkp24/Llama-3-8B-Instruct-SPPO-score-Iter2_gp_2b-table-0.001/35b4378e-52cd-4ae1-985b-c8e2c00dc61a.json
@@ -0,0 +1,132 @@
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+  "source_metadata": {
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+    "evaluator_relationship": "third_party"
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+    "name": "Llama-3-8B-Instruct-SPPO-score-Iter2_gp_2b-table-0.001",
+    "id": "xkp24/Llama-3-8B-Instruct-SPPO-score-Iter2_gp_2b-table-0.001",
+    "developer": "xkp24",
+    "inference_platform": "unknown",
+    "additional_details": {
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+      "architecture": "LlamaForCausalLM",
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+    }
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+      },
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+      },
+      "score_details": {
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+      }
+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
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+        "score_type": "continuous",
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+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
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+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
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+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
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+        "lower_is_better": false,
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+        "hf_repo": "TAUR-Lab/MuSR"
+      },
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
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+        "lower_is_better": false,
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/xkp24/Llama-3-8B-Instruct-SPPO-score-Iter2_gp_2b-table-0.001/8ec55b3f-e425-4ee9-98d5-dac775977514.json b/data/hfopenllm_v2/xkp24/Llama-3-8B-Instruct-SPPO-score-Iter2_gp_2b-table-0.001/8ec55b3f-e425-4ee9-98d5-dac775977514.json
deleted file mode 100644
index 016455e42..000000000
--- a/data/hfopenllm_v2/xkp24/Llama-3-8B-Instruct-SPPO-score-Iter2_gp_2b-table-0.001/8ec55b3f-e425-4ee9-98d5-dac775977514.json
+++ /dev/null
@@ -1,105 +0,0 @@
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-      "metric_config": {
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diff --git a/data/hfopenllm_v2/xkp24/Llama-3-8B-Instruct-SPPO-score-Iter2_gp_8b-table-0.002/4d99a55e-39c0-41c7-9ef0-494f739ceaec.json b/data/hfopenllm_v2/xkp24/Llama-3-8B-Instruct-SPPO-score-Iter2_gp_8b-table-0.002/4d99a55e-39c0-41c7-9ef0-494f739ceaec.json
new file mode 100644
index 000000000..60810c2c1
--- /dev/null
+++ b/data/hfopenllm_v2/xkp24/Llama-3-8B-Instruct-SPPO-score-Iter2_gp_8b-table-0.002/4d99a55e-39c0-41c7-9ef0-494f739ceaec.json
@@ -0,0 +1,132 @@
+{
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+  "evaluation_id": "hfopenllm_v2/xkp24_Llama-3-8B-Instruct-SPPO-score-Iter2_gp_8b-table-0.002/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-3-8B-Instruct-SPPO-score-Iter2_gp_8b-table-0.002",
+    "id": "xkp24/Llama-3-8B-Instruct-SPPO-score-Iter2_gp_8b-table-0.002",
+    "developer": "xkp24",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4951
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
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+    },
+    {
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2601
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3939
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+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
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+        "max_score": 1.0
+      },
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+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/xkp24/Llama-3-8B-Instruct-SPPO-score-Iter2_gp_8b-table-0.002/c583cff2-2944-4afb-b32e-c0f49bc0d3b7.json b/data/hfopenllm_v2/xkp24/Llama-3-8B-Instruct-SPPO-score-Iter2_gp_8b-table-0.002/c583cff2-2944-4afb-b32e-c0f49bc0d3b7.json
deleted file mode 100644
index 5a726b5a8..000000000
--- a/data/hfopenllm_v2/xkp24/Llama-3-8B-Instruct-SPPO-score-Iter2_gp_8b-table-0.002/c583cff2-2944-4afb-b32e-c0f49bc0d3b7.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/xukp20/Llama-3-8B-Instruct-SPPO-Iter3_bt_2b-table/a6996896-1464-4b55-a784-28deb06150c8.json b/data/hfopenllm_v2/xukp20/Llama-3-8B-Instruct-SPPO-Iter3_bt_2b-table/a6996896-1464-4b55-a784-28deb06150c8.json
deleted file mode 100644
index 579285f72..000000000
--- a/data/hfopenllm_v2/xukp20/Llama-3-8B-Instruct-SPPO-Iter3_bt_2b-table/a6996896-1464-4b55-a784-28deb06150c8.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/xukp20/Llama-3-8B-Instruct-SPPO-Iter3_bt_2b-table/f3c7bacd-e231-45fd-b503-ee4d34caf4e8.json b/data/hfopenllm_v2/xukp20/Llama-3-8B-Instruct-SPPO-Iter3_bt_2b-table/f3c7bacd-e231-45fd-b503-ee4d34caf4e8.json
new file mode 100644
index 000000000..9670d371e
--- /dev/null
+++ b/data/hfopenllm_v2/xukp20/Llama-3-8B-Instruct-SPPO-Iter3_bt_2b-table/f3c7bacd-e231-45fd-b503-ee4d34caf4e8.json
@@ -0,0 +1,132 @@
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+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
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+    "id": "xukp20/Llama-3-8B-Instruct-SPPO-Iter3_bt_2b-table",
+    "developer": "xukp20",
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+        "source_type": "hf_dataset",
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+      },
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+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
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+        "max_score": 1.0
+      },
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+      }
+    }
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/xukp20/Llama-3-8B-Instruct-SPPO-Iter3_bt_8b-table/1bb87d8f-2d66-42b2-a744-1a7cbc2c17dc.json b/data/hfopenllm_v2/xukp20/Llama-3-8B-Instruct-SPPO-Iter3_bt_8b-table/1bb87d8f-2d66-42b2-a744-1a7cbc2c17dc.json
new file mode 100644
index 000000000..527102943
--- /dev/null
+++ b/data/hfopenllm_v2/xukp20/Llama-3-8B-Instruct-SPPO-Iter3_bt_8b-table/1bb87d8f-2d66-42b2-a744-1a7cbc2c17dc.json
@@ -0,0 +1,132 @@
+{
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+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
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+    "name": "Llama-3-8B-Instruct-SPPO-Iter3_bt_8b-table",
+    "id": "xukp20/Llama-3-8B-Instruct-SPPO-Iter3_bt_8b-table",
+    "developer": "xukp20",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
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+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
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+        "source_type": "hf_dataset",
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+        "source_type": "hf_dataset",
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+      },
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+        "score_type": "continuous",
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+        "max_score": 1.0
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+      },
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+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
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+      }
+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
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+    {
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/xukp20/Llama-3-8B-Instruct-SPPO-Iter3_bt_8b-table/406f36fc-1243-4342-80c6-95b96fcc003f.json b/data/hfopenllm_v2/xukp20/Llama-3-8B-Instruct-SPPO-Iter3_bt_8b-table/406f36fc-1243-4342-80c6-95b96fcc003f.json
deleted file mode 100644
index b08b8cccf..000000000
--- a/data/hfopenllm_v2/xukp20/Llama-3-8B-Instruct-SPPO-Iter3_bt_8b-table/406f36fc-1243-4342-80c6-95b96fcc003f.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/xukp20/Llama-3-8B-Instruct-SPPO-Iter3_gp_2b-table/87bcbd57-2d0e-4d77-9f1e-3ec0199c8452.json b/data/hfopenllm_v2/xukp20/Llama-3-8B-Instruct-SPPO-Iter3_gp_2b-table/87bcbd57-2d0e-4d77-9f1e-3ec0199c8452.json
deleted file mode 100644
index 3efe87a48..000000000
--- a/data/hfopenllm_v2/xukp20/Llama-3-8B-Instruct-SPPO-Iter3_gp_2b-table/87bcbd57-2d0e-4d77-9f1e-3ec0199c8452.json
+++ /dev/null
@@ -1,105 +0,0 @@
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-    "developer": "xukp20",
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-    "id": "xukp20/Llama-3-8B-Instruct-SPPO-Iter3_gp_2b-table",
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-    {
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diff --git a/data/hfopenllm_v2/xukp20/Llama-3-8B-Instruct-SPPO-Iter3_gp_2b-table/ae10fd26-e648-4fa0-ae24-dfaaf4ff510d.json b/data/hfopenllm_v2/xukp20/Llama-3-8B-Instruct-SPPO-Iter3_gp_2b-table/ae10fd26-e648-4fa0-ae24-dfaaf4ff510d.json
new file mode 100644
index 000000000..dd8c0822b
--- /dev/null
+++ b/data/hfopenllm_v2/xukp20/Llama-3-8B-Instruct-SPPO-Iter3_gp_2b-table/ae10fd26-e648-4fa0-ae24-dfaaf4ff510d.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/xukp20_Llama-3-8B-Instruct-SPPO-Iter3_gp_2b-table/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-3-8B-Instruct-SPPO-Iter3_gp_2b-table",
+    "id": "xukp20/Llama-3-8B-Instruct-SPPO-Iter3_gp_2b-table",
+    "developer": "xukp20",
+    "inference_platform": "unknown",
+    "additional_details": {
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+  },
+  "evaluation_results": [
+    {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
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+      "metric_config": {
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+        "score_type": "continuous",
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+      "score_details": {
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+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
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+        "score_type": "continuous",
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+        "max_score": 1.0
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+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1042
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+        "score": 0.2592
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3674
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3658
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/xukp20/Llama-3-8B-Instruct-SPPO-Iter3_gp_8b-table/0af58746-0492-4ba7-8a17-c0a5c43d0700.json b/data/hfopenllm_v2/xukp20/Llama-3-8B-Instruct-SPPO-Iter3_gp_8b-table/0af58746-0492-4ba7-8a17-c0a5c43d0700.json
new file mode 100644
index 000000000..27ec692c2
--- /dev/null
+++ b/data/hfopenllm_v2/xukp20/Llama-3-8B-Instruct-SPPO-Iter3_gp_8b-table/0af58746-0492-4ba7-8a17-c0a5c43d0700.json
@@ -0,0 +1,132 @@
+{
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+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-3-8B-Instruct-SPPO-Iter3_gp_8b-table",
+    "id": "xukp20/Llama-3-8B-Instruct-SPPO-Iter3_gp_8b-table",
+    "developer": "xukp20",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.662
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2592
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3818
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3615
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/xukp20/Llama-3-8B-Instruct-SPPO-Iter3_gp_8b-table/d7125235-7b17-4a90-9125-c993646cd7c8.json b/data/hfopenllm_v2/xukp20/Llama-3-8B-Instruct-SPPO-Iter3_gp_8b-table/d7125235-7b17-4a90-9125-c993646cd7c8.json
deleted file mode 100644
index 5d59dacb0..000000000
--- a/data/hfopenllm_v2/xukp20/Llama-3-8B-Instruct-SPPO-Iter3_gp_8b-table/d7125235-7b17-4a90-9125-c993646cd7c8.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "source_data": [
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-  "source_metadata": {
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-  "model_info": {
-    "name": "xukp20/Llama-3-8B-Instruct-SPPO-Iter3_gp_8b-table",
-    "developer": "xukp20",
-    "inference_platform": "unknown",
-    "id": "xukp20/Llama-3-8B-Instruct-SPPO-Iter3_gp_8b-table",
-    "additional_details": {
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-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
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-        "lower_is_better": false,
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-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-    {
-      "evaluation_name": "BBH",
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
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-    {
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-        "lower_is_better": false,
-        "score_type": "continuous",
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-        "lower_is_better": false,
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-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.25922818791946306
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.38181249999999994
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3614527925531915
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/xukp20/Llama-3-8B-Instruct-SPPO-score-Iter3_bt_2b-table-0.001/88fff9f5-7aa7-463a-87e0-5fd2f5bacf09.json b/data/hfopenllm_v2/xukp20/Llama-3-8B-Instruct-SPPO-score-Iter3_bt_2b-table-0.001/88fff9f5-7aa7-463a-87e0-5fd2f5bacf09.json
new file mode 100644
index 000000000..0f5aeda25
--- /dev/null
+++ b/data/hfopenllm_v2/xukp20/Llama-3-8B-Instruct-SPPO-score-Iter3_bt_2b-table-0.001/88fff9f5-7aa7-463a-87e0-5fd2f5bacf09.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/xukp20_Llama-3-8B-Instruct-SPPO-score-Iter3_bt_2b-table-0.001/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-3-8B-Instruct-SPPO-score-Iter3_bt_2b-table-0.001",
+    "id": "xukp20/Llama-3-8B-Instruct-SPPO-score-Iter3_bt_2b-table-0.001",
+    "developer": "xukp20",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5336
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4915
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0982
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2592
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.378
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3625
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/xukp20/Llama-3-8B-Instruct-SPPO-score-Iter3_bt_2b-table-0.001/d758e9a9-c316-4de5-bdb7-d0ec7401fa12.json b/data/hfopenllm_v2/xukp20/Llama-3-8B-Instruct-SPPO-score-Iter3_bt_2b-table-0.001/d758e9a9-c316-4de5-bdb7-d0ec7401fa12.json
deleted file mode 100644
index 97fa74ebd..000000000
--- a/data/hfopenllm_v2/xukp20/Llama-3-8B-Instruct-SPPO-score-Iter3_bt_2b-table-0.001/d758e9a9-c316-4de5-bdb7-d0ec7401fa12.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/xukp20_Llama-3-8B-Instruct-SPPO-score-Iter3_bt_2b-table-0.001/1762652580.601125",
-  "retrieved_timestamp": "1762652580.601126",
-  "source_data": [
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-  "source_metadata": {
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-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "xukp20/Llama-3-8B-Instruct-SPPO-score-Iter3_bt_2b-table-0.001",
-    "developer": "xukp20",
-    "inference_platform": "unknown",
-    "id": "xukp20/Llama-3-8B-Instruct-SPPO-score-Iter3_bt_2b-table-0.001",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "BBH",
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-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.49148727192613517
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.25922818791946306
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37796874999999996
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3624501329787234
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/xukp20/Llama-3-8B-Instruct-SPPO-score-Iter3_bt_8b-table-0.002/bc79527d-ae58-4b17-afd8-df931562dbf3.json b/data/hfopenllm_v2/xukp20/Llama-3-8B-Instruct-SPPO-score-Iter3_bt_8b-table-0.002/bc79527d-ae58-4b17-afd8-df931562dbf3.json
new file mode 100644
index 000000000..8d52c8dfa
--- /dev/null
+++ b/data/hfopenllm_v2/xukp20/Llama-3-8B-Instruct-SPPO-score-Iter3_bt_8b-table-0.002/bc79527d-ae58-4b17-afd8-df931562dbf3.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/xukp20_Llama-3-8B-Instruct-SPPO-score-Iter3_bt_8b-table-0.002/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-3-8B-Instruct-SPPO-score-Iter3_bt_8b-table-0.002",
+    "id": "xukp20/Llama-3-8B-Instruct-SPPO-score-Iter3_bt_8b-table-0.002",
+    "developer": "xukp20",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
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+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "max_score": 1.0
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+      "score_details": {
+        "score": 0.5075
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+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0718
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
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+    },
+    {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
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+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/xukp20/Llama-3-8B-Instruct-SPPO-score-Iter3_bt_8b-table-0.002/d1445003-91ea-4b2b-ab38-a47a6392620e.json b/data/hfopenllm_v2/xukp20/Llama-3-8B-Instruct-SPPO-score-Iter3_bt_8b-table-0.002/d1445003-91ea-4b2b-ab38-a47a6392620e.json
deleted file mode 100644
index e7f365c19..000000000
--- a/data/hfopenllm_v2/xukp20/Llama-3-8B-Instruct-SPPO-score-Iter3_bt_8b-table-0.002/d1445003-91ea-4b2b-ab38-a47a6392620e.json
+++ /dev/null
@@ -1,105 +0,0 @@
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-        "lower_is_better": false,
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diff --git a/data/hfopenllm_v2/xukp20/Llama-3-8B-Instruct-SPPO-score-Iter3_gp_2b-table-0.001/3e7423d5-ad7e-48e2-bd25-a4946d443c24.json b/data/hfopenllm_v2/xukp20/Llama-3-8B-Instruct-SPPO-score-Iter3_gp_2b-table-0.001/3e7423d5-ad7e-48e2-bd25-a4946d443c24.json
new file mode 100644
index 000000000..922c5078c
--- /dev/null
+++ b/data/hfopenllm_v2/xukp20/Llama-3-8B-Instruct-SPPO-score-Iter3_gp_2b-table-0.001/3e7423d5-ad7e-48e2-bd25-a4946d443c24.json
@@ -0,0 +1,132 @@
+{
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+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-3-8B-Instruct-SPPO-score-Iter3_gp_2b-table-0.001",
+    "id": "xukp20/Llama-3-8B-Instruct-SPPO-score-Iter3_gp_2b-table-0.001",
+    "developer": "xukp20",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4887
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
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+        "score_type": "continuous",
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+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
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+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "max_score": 1.0
+      },
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+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/xukp20/Llama-3-8B-Instruct-SPPO-score-Iter3_gp_2b-table-0.001/4d9c2e04-caef-43f5-9ce1-40517341ff40.json b/data/hfopenllm_v2/xukp20/Llama-3-8B-Instruct-SPPO-score-Iter3_gp_2b-table-0.001/4d9c2e04-caef-43f5-9ce1-40517341ff40.json
deleted file mode 100644
index 734f96349..000000000
--- a/data/hfopenllm_v2/xukp20/Llama-3-8B-Instruct-SPPO-score-Iter3_gp_2b-table-0.001/4d9c2e04-caef-43f5-9ce1-40517341ff40.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/xukp20/llama-3-8b-instruct-sppo-iter1-gp-2b-tau01-table/5d53b35f-6bff-493c-805d-b45517ae0e2b.json b/data/hfopenllm_v2/xukp20/llama-3-8b-instruct-sppo-iter1-gp-2b-tau01-table/5d53b35f-6bff-493c-805d-b45517ae0e2b.json
deleted file mode 100644
index 215abfe7b..000000000
--- a/data/hfopenllm_v2/xukp20/llama-3-8b-instruct-sppo-iter1-gp-2b-tau01-table/5d53b35f-6bff-493c-805d-b45517ae0e2b.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/xukp20/llama-3-8b-instruct-sppo-iter1-gp-2b-tau01-table/7979fd6a-a886-41cc-987b-356b7c452bff.json b/data/hfopenllm_v2/xukp20/llama-3-8b-instruct-sppo-iter1-gp-2b-tau01-table/7979fd6a-a886-41cc-987b-356b7c452bff.json
new file mode 100644
index 000000000..4feb8bd7f
--- /dev/null
+++ b/data/hfopenllm_v2/xukp20/llama-3-8b-instruct-sppo-iter1-gp-2b-tau01-table/7979fd6a-a886-41cc-987b-356b7c452bff.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/xukp20_llama-3-8b-instruct-sppo-iter1-gp-2b-tau01-table/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "llama-3-8b-instruct-sppo-iter1-gp-2b-tau01-table",
+    "id": "xukp20/llama-3-8b-instruct-sppo-iter1-gp-2b-tau01-table",
+    "developer": "xukp20",
+    "inference_platform": "unknown",
+    "additional_details": {
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+      "architecture": "LlamaForCausalLM",
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+  "evaluation_results": [
+    {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
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+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
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+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4978
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.105
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2592
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3673
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3716
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/xwen-team/Xwen-7B-Chat/2be6bc34-1e61-426f-b963-6e096b5418fb.json b/data/hfopenllm_v2/xwen-team/Xwen-7B-Chat/2be6bc34-1e61-426f-b963-6e096b5418fb.json
new file mode 100644
index 000000000..fb936d3e3
--- /dev/null
+++ b/data/hfopenllm_v2/xwen-team/Xwen-7B-Chat/2be6bc34-1e61-426f-b963-6e096b5418fb.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/xwen-team_Xwen-7B-Chat/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Xwen-7B-Chat",
+    "id": "xwen-team/Xwen-7B-Chat",
+    "developer": "xwen-team",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 7.616
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6864
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5068
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4509
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2609
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3914
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.429
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/xwen-team/Xwen-7B-Chat/a099778d-4c47-472e-872d-8fffcdf2764f.json b/data/hfopenllm_v2/xwen-team/Xwen-7B-Chat/a099778d-4c47-472e-872d-8fffcdf2764f.json
deleted file mode 100644
index 7f79524c4..000000000
--- a/data/hfopenllm_v2/xwen-team/Xwen-7B-Chat/a099778d-4c47-472e-872d-8fffcdf2764f.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/xwen-team_Xwen-7B-Chat/1762652580.602432",
-  "retrieved_timestamp": "1762652580.602433",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "xwen-team/Xwen-7B-Chat",
-    "developer": "xwen-team",
-    "inference_platform": "unknown",
-    "id": "xwen-team/Xwen-7B-Chat",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 7.616
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6864098370102439
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.506762793166296
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4509063444108761
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2609060402684564
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3914270833333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42902260638297873
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/xxx777xxxASD/L3.1-ClaudeMaid-4x8B/c4f69339-be6b-4bb4-8faf-a1f40e73d4b0.json b/data/hfopenllm_v2/xxx777xxxASD/L3.1-ClaudeMaid-4x8B/c4f69339-be6b-4bb4-8faf-a1f40e73d4b0.json
new file mode 100644
index 000000000..e7afb7649
--- /dev/null
+++ b/data/hfopenllm_v2/xxx777xxxASD/L3.1-ClaudeMaid-4x8B/c4f69339-be6b-4bb4-8faf-a1f40e73d4b0.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/xxx777xxxASD_L3.1-ClaudeMaid-4x8B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "L3.1-ClaudeMaid-4x8B",
+    "id": "xxx777xxxASD/L3.1-ClaudeMaid-4x8B",
+    "developer": "xxx777xxxASD",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MixtralForCausalLM",
+      "params_billions": 24.942
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6696
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5071
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1412
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2911
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4289
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.358
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/yam-peleg/Hebrew-Gemma-11B-Instruct/5d25872d-eacd-4e5c-b9cc-9ee014147730.json b/data/hfopenllm_v2/yam-peleg/Hebrew-Gemma-11B-Instruct/5d25872d-eacd-4e5c-b9cc-9ee014147730.json
deleted file mode 100644
index a0342ffd5..000000000
--- a/data/hfopenllm_v2/yam-peleg/Hebrew-Gemma-11B-Instruct/5d25872d-eacd-4e5c-b9cc-9ee014147730.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/yam-peleg_Hebrew-Gemma-11B-Instruct/1762652580.603103",
-  "retrieved_timestamp": "1762652580.603105",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "yam-peleg/Hebrew-Gemma-11B-Instruct",
-    "developer": "yam-peleg",
-    "inference_platform": "unknown",
-    "id": "yam-peleg/Hebrew-Gemma-11B-Instruct",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "GemmaForCausalLM",
-      "params_billions": 10.475
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30207737691547315
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.40357843109818686
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.06570996978851963
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.276006711409396
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4088541666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.25540226063829785
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/yam-peleg/Hebrew-Gemma-11B-Instruct/c845eb10-a028-4cc2-8f64-25d75480c0d5.json b/data/hfopenllm_v2/yam-peleg/Hebrew-Gemma-11B-Instruct/c845eb10-a028-4cc2-8f64-25d75480c0d5.json
new file mode 100644
index 000000000..cb76ed21b
--- /dev/null
+++ b/data/hfopenllm_v2/yam-peleg/Hebrew-Gemma-11B-Instruct/c845eb10-a028-4cc2-8f64-25d75480c0d5.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/yam-peleg_Hebrew-Gemma-11B-Instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Hebrew-Gemma-11B-Instruct",
+    "id": "yam-peleg/Hebrew-Gemma-11B-Instruct",
+    "developer": "yam-peleg",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "GemmaForCausalLM",
+      "params_billions": 10.475
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3021
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4036
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/yam-peleg/Hebrew-Mistral-7B-200K/377e7223-4876-49b6-8057-b1831d7f129b.json b/data/hfopenllm_v2/yam-peleg/Hebrew-Mistral-7B-200K/377e7223-4876-49b6-8057-b1831d7f129b.json
new file mode 100644
index 000000000..7e2ef6384
--- /dev/null
+++ b/data/hfopenllm_v2/yam-peleg/Hebrew-Mistral-7B-200K/377e7223-4876-49b6-8057-b1831d7f129b.json
@@ -0,0 +1,132 @@
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/yam-peleg/Hebrew-Mistral-7B-200K/4ddb9ed6-0599-482e-b12e-bcb01975cc85.json b/data/hfopenllm_v2/yam-peleg/Hebrew-Mistral-7B-200K/4ddb9ed6-0599-482e-b12e-bcb01975cc85.json
new file mode 100644
index 000000000..d83bce8f2
--- /dev/null
+++ b/data/hfopenllm_v2/yam-peleg/Hebrew-Mistral-7B-200K/4ddb9ed6-0599-482e-b12e-bcb01975cc85.json
@@ -0,0 +1,132 @@
+{
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/yam-peleg/Hebrew-Mistral-7B/9d5af106-be69-4b62-99c1-fcfb6091d080.json b/data/hfopenllm_v2/yam-peleg/Hebrew-Mistral-7B/9d5af106-be69-4b62-99c1-fcfb6091d080.json
new file mode 100644
index 000000000..93e4556ea
--- /dev/null
+++ b/data/hfopenllm_v2/yam-peleg/Hebrew-Mistral-7B/9d5af106-be69-4b62-99c1-fcfb6091d080.json
@@ -0,0 +1,132 @@
+{
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+    "developer": "yam-peleg",
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+        "max_score": 1.0
+      },
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+    {
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+      },
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+      },
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+        "lower_is_better": false,
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+        "min_score": 0.0,
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+      },
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+    {
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+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
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+      }
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+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/yanng1242/Marcoro14-7B-slerp/2f2d7a55-2838-446d-9487-a6cfa0c03356.json b/data/hfopenllm_v2/yanng1242/Marcoro14-7B-slerp/2f2d7a55-2838-446d-9487-a6cfa0c03356.json
new file mode 100644
index 000000000..348a5fe37
--- /dev/null
+++ b/data/hfopenllm_v2/yanng1242/Marcoro14-7B-slerp/2f2d7a55-2838-446d-9487-a6cfa0c03356.json
@@ -0,0 +1,132 @@
+{
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+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Marcoro14-7B-slerp",
+    "id": "yanng1242/Marcoro14-7B-slerp",
+    "developer": "yanng1242",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": 7.242
+    }
+  },
+  "evaluation_results": [
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+        "max_score": 1.0
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+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5252
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
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+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "max_score": 1.0
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+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/yanng1242/Marcoro14-7B-slerp/f5005cc2-cec4-4a1c-be09-a670d996d15b.json b/data/hfopenllm_v2/yanng1242/Marcoro14-7B-slerp/f5005cc2-cec4-4a1c-be09-a670d996d15b.json
deleted file mode 100644
index 1bd28b53f..000000000
--- a/data/hfopenllm_v2/yanng1242/Marcoro14-7B-slerp/f5005cc2-cec4-4a1c-be09-a670d996d15b.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/yanng1242_Marcoro14-7B-slerp/1762652580.604092",
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-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "yanng1242/Marcoro14-7B-slerp",
-    "developer": "yanng1242",
-    "inference_platform": "unknown",
-    "id": "yanng1242/Marcoro14-7B-slerp",
-    "additional_details": {
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-      "params_billions": 7.242
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-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-        "score_type": "continuous",
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-        "score_type": "continuous",
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-      "evaluation_name": "GPQA",
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-        "lower_is_better": false,
-        "score_type": "continuous",
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-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-      "score_details": {
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-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-      }
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-}
diff --git a/data/hfopenllm_v2/yasserrmd/Coder-GRPO-3B/425372c0-e096-4bdf-8f6c-eb2d5b36bb07.json b/data/hfopenllm_v2/yasserrmd/Coder-GRPO-3B/425372c0-e096-4bdf-8f6c-eb2d5b36bb07.json
deleted file mode 100644
index d0aa90cdf..000000000
--- a/data/hfopenllm_v2/yasserrmd/Coder-GRPO-3B/425372c0-e096-4bdf-8f6c-eb2d5b36bb07.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/yasserrmd_Coder-GRPO-3B/1762652580.6044621",
-  "retrieved_timestamp": "1762652580.604463",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "yasserrmd/Coder-GRPO-3B",
-    "developer": "yasserrmd",
-    "inference_platform": "unknown",
-    "id": "yasserrmd/Coder-GRPO-3B",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 3.086
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6207640172520024
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4469120364616385
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3202416918429003
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.27768456375838924
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4114583333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3197307180851064
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/yasserrmd/Coder-GRPO-3B/65d20d45-f63b-4b09-b66d-5f53297c0c20.json b/data/hfopenllm_v2/yasserrmd/Coder-GRPO-3B/65d20d45-f63b-4b09-b66d-5f53297c0c20.json
new file mode 100644
index 000000000..f3af930c7
--- /dev/null
+++ b/data/hfopenllm_v2/yasserrmd/Coder-GRPO-3B/65d20d45-f63b-4b09-b66d-5f53297c0c20.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/yasserrmd_Coder-GRPO-3B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Coder-GRPO-3B",
+    "id": "yasserrmd/Coder-GRPO-3B",
+    "developer": "yasserrmd",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 3.086
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6208
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4469
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3202
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2777
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4115
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3197
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/yasserrmd/Text2SQL-1.5B/42a767cf-7d29-486d-b83e-fcfa51f048c1.json b/data/hfopenllm_v2/yasserrmd/Text2SQL-1.5B/42a767cf-7d29-486d-b83e-fcfa51f048c1.json
deleted file mode 100644
index e93bacff9..000000000
--- a/data/hfopenllm_v2/yasserrmd/Text2SQL-1.5B/42a767cf-7d29-486d-b83e-fcfa51f048c1.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/yasserrmd_Text2SQL-1.5B/1762652580.604796",
-  "retrieved_timestamp": "1762652580.6047978",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "yasserrmd/Text2SQL-1.5B",
-    "developer": "yasserrmd",
-    "inference_platform": "unknown",
-    "id": "yasserrmd/Text2SQL-1.5B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 1.544
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2857407235025289
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.38577157961565695
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.06797583081570997
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.287751677852349
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.39423958333333337
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.23628656914893617
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/yasserrmd/Text2SQL-1.5B/4712953f-0777-4b97-8f13-f7309f19f0dc.json b/data/hfopenllm_v2/yasserrmd/Text2SQL-1.5B/4712953f-0777-4b97-8f13-f7309f19f0dc.json
new file mode 100644
index 000000000..eca8489e8
--- /dev/null
+++ b/data/hfopenllm_v2/yasserrmd/Text2SQL-1.5B/4712953f-0777-4b97-8f13-f7309f19f0dc.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/yasserrmd_Text2SQL-1.5B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Text2SQL-1.5B",
+    "id": "yasserrmd/Text2SQL-1.5B",
+    "developer": "yasserrmd",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 1.544
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2857
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3858
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.068
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2878
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3942
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2363
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/ycros/BagelMIsteryTour-v2-8x7B/2419f2a3-03df-4521-9baa-346e3cb53181.json b/data/hfopenllm_v2/ycros/BagelMIsteryTour-v2-8x7B/2419f2a3-03df-4521-9baa-346e3cb53181.json
deleted file mode 100644
index 0800aab16..000000000
--- a/data/hfopenllm_v2/ycros/BagelMIsteryTour-v2-8x7B/2419f2a3-03df-4521-9baa-346e3cb53181.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/ycros_BagelMIsteryTour-v2-8x7B/1762652580.605103",
-  "retrieved_timestamp": "1762652580.6051042",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "ycros/BagelMIsteryTour-v2-8x7B",
-    "developer": "ycros",
-    "inference_platform": "unknown",
-    "id": "ycros/BagelMIsteryTour-v2-8x7B",
-    "additional_details": {
-      "precision": "float16",
-      "architecture": "MixtralForCausalLM",
-      "params_billions": 46.703
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.599431730031871
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.515923595752544
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.07854984894259819
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
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-      "score_details": {
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-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
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-        "score_type": "continuous",
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-}
diff --git a/data/hfopenllm_v2/ycros/BagelMIsteryTour-v2-8x7B/84382308-04b5-439f-b486-b26d20da605a.json b/data/hfopenllm_v2/ycros/BagelMIsteryTour-v2-8x7B/84382308-04b5-439f-b486-b26d20da605a.json
new file mode 100644
index 000000000..e45b7fe88
--- /dev/null
+++ b/data/hfopenllm_v2/ycros/BagelMIsteryTour-v2-8x7B/84382308-04b5-439f-b486-b26d20da605a.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/ycros_BagelMIsteryTour-v2-8x7B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "BagelMIsteryTour-v2-8x7B",
+    "id": "ycros/BagelMIsteryTour-v2-8x7B",
+    "developer": "ycros",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MixtralForCausalLM",
+      "params_billions": 46.703
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6262
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5142
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0937
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3079
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4138
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3481
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/ycros/BagelMIsteryTour-v2-8x7B/a88e7110-2a58-4f47-801f-2a49037eaed6.json b/data/hfopenllm_v2/ycros/BagelMIsteryTour-v2-8x7B/a88e7110-2a58-4f47-801f-2a49037eaed6.json
deleted file mode 100644
index c7520b20e..000000000
--- a/data/hfopenllm_v2/ycros/BagelMIsteryTour-v2-8x7B/a88e7110-2a58-4f47-801f-2a49037eaed6.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/ycros_BagelMIsteryTour-v2-8x7B/1762652580.605396",
-  "retrieved_timestamp": "1762652580.605397",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "ycros/BagelMIsteryTour-v2-8x7B",
-    "developer": "ycros",
-    "inference_platform": "unknown",
-    "id": "ycros/BagelMIsteryTour-v2-8x7B",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MixtralForCausalLM",
-      "params_billions": 46.703
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6262095683896506
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
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-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30788590604026844
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.41375
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3480718085106383
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/ycros/BagelMIsteryTour-v2-8x7B/e82be06f-14ed-45e8-a273-d28c50f5212b.json b/data/hfopenllm_v2/ycros/BagelMIsteryTour-v2-8x7B/e82be06f-14ed-45e8-a273-d28c50f5212b.json
new file mode 100644
index 000000000..7ac95c1dd
--- /dev/null
+++ b/data/hfopenllm_v2/ycros/BagelMIsteryTour-v2-8x7B/e82be06f-14ed-45e8-a273-d28c50f5212b.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/ycros_BagelMIsteryTour-v2-8x7B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "BagelMIsteryTour-v2-8x7B",
+    "id": "ycros/BagelMIsteryTour-v2-8x7B",
+    "developer": "ycros",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "MixtralForCausalLM",
+      "params_billions": 46.703
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5994
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5159
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0785
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3045
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4203
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3473
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/yfzp/Llama-3-8B-Instruct-SPPO-Iter1_bt_2b-table/5815ba55-40fc-4f8e-ae0b-b329c42fd503.json b/data/hfopenllm_v2/yfzp/Llama-3-8B-Instruct-SPPO-Iter1_bt_2b-table/5815ba55-40fc-4f8e-ae0b-b329c42fd503.json
new file mode 100644
index 000000000..fd37fa6d3
--- /dev/null
+++ b/data/hfopenllm_v2/yfzp/Llama-3-8B-Instruct-SPPO-Iter1_bt_2b-table/5815ba55-40fc-4f8e-ae0b-b329c42fd503.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/yfzp_Llama-3-8B-Instruct-SPPO-Iter1_bt_2b-table/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-3-8B-Instruct-SPPO-Iter1_bt_2b-table",
+    "id": "yfzp/Llama-3-8B-Instruct-SPPO-Iter1_bt_2b-table",
+    "developer": "yfzp",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6709
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4987
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1118
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2592
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3727
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3716
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/yfzp/Llama-3-8B-Instruct-SPPO-Iter1_bt_2b-table/cd2f94a5-595a-469e-b34e-a5f9abb82e6b.json b/data/hfopenllm_v2/yfzp/Llama-3-8B-Instruct-SPPO-Iter1_bt_2b-table/cd2f94a5-595a-469e-b34e-a5f9abb82e6b.json
deleted file mode 100644
index d18369086..000000000
--- a/data/hfopenllm_v2/yfzp/Llama-3-8B-Instruct-SPPO-Iter1_bt_2b-table/cd2f94a5-595a-469e-b34e-a5f9abb82e6b.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/yfzp_Llama-3-8B-Instruct-SPPO-Iter1_bt_2b-table/1762652580.605642",
-  "retrieved_timestamp": "1762652580.605643",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "yfzp/Llama-3-8B-Instruct-SPPO-Iter1_bt_2b-table",
-    "developer": "yfzp",
-    "inference_platform": "unknown",
-    "id": "yfzp/Llama-3-8B-Instruct-SPPO-Iter1_bt_2b-table",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6708976626462231
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.49866134349131935
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.11178247734138973
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.25922818791946306
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-    {
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diff --git a/data/hfopenllm_v2/yfzp/Llama-3-8B-Instruct-SPPO-Iter1_bt_8b-table/c19ed336-aadf-4af3-a0e5-1c1946a17ce4.json b/data/hfopenllm_v2/yfzp/Llama-3-8B-Instruct-SPPO-Iter1_bt_8b-table/c19ed336-aadf-4af3-a0e5-1c1946a17ce4.json
deleted file mode 100644
index 11ed294db..000000000
--- a/data/hfopenllm_v2/yfzp/Llama-3-8B-Instruct-SPPO-Iter1_bt_8b-table/c19ed336-aadf-4af3-a0e5-1c1946a17ce4.json
+++ /dev/null
@@ -1,105 +0,0 @@
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-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
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-    "name": "yfzp/Llama-3-8B-Instruct-SPPO-Iter1_bt_8b-table",
-    "developer": "yfzp",
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-    "id": "yfzp/Llama-3-8B-Instruct-SPPO-Iter1_bt_8b-table",
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diff --git a/data/hfopenllm_v2/yfzp/Llama-3-8B-Instruct-SPPO-Iter1_bt_8b-table/e58eceb3-b501-4924-9d0d-98d7da3c16c5.json b/data/hfopenllm_v2/yfzp/Llama-3-8B-Instruct-SPPO-Iter1_bt_8b-table/e58eceb3-b501-4924-9d0d-98d7da3c16c5.json
new file mode 100644
index 000000000..3a674e52d
--- /dev/null
+++ b/data/hfopenllm_v2/yfzp/Llama-3-8B-Instruct-SPPO-Iter1_bt_8b-table/e58eceb3-b501-4924-9d0d-98d7da3c16c5.json
@@ -0,0 +1,132 @@
+{
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+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-3-8B-Instruct-SPPO-Iter1_bt_8b-table",
+    "id": "yfzp/Llama-3-8B-Instruct-SPPO-Iter1_bt_8b-table",
+    "developer": "yfzp",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
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+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7333
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "max_score": 1.0
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+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3806
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+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/yfzp/Llama-3-8B-Instruct-SPPO-Iter1_gp_2b-table/5a88455c-7699-4c49-8a12-76cda15d878c.json b/data/hfopenllm_v2/yfzp/Llama-3-8B-Instruct-SPPO-Iter1_gp_2b-table/5a88455c-7699-4c49-8a12-76cda15d878c.json
new file mode 100644
index 000000000..6b39085c6
--- /dev/null
+++ b/data/hfopenllm_v2/yfzp/Llama-3-8B-Instruct-SPPO-Iter1_gp_2b-table/5a88455c-7699-4c49-8a12-76cda15d878c.json
@@ -0,0 +1,132 @@
+{
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+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-3-8B-Instruct-SPPO-Iter1_gp_2b-table",
+    "id": "yfzp/Llama-3-8B-Instruct-SPPO-Iter1_gp_2b-table",
+    "developer": "yfzp",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6785
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4941
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+    },
+    {
+      "evaluation_name": "GPQA",
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+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2592
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "max_score": 1.0
+      },
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+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/yfzp/Llama-3-8B-Instruct-SPPO-Iter1_gp_2b-table/d6cadac8-17a9-430f-94b3-6eb0c7ecc146.json b/data/hfopenllm_v2/yfzp/Llama-3-8B-Instruct-SPPO-Iter1_gp_2b-table/d6cadac8-17a9-430f-94b3-6eb0c7ecc146.json
deleted file mode 100644
index 2b19e58bd..000000000
--- a/data/hfopenllm_v2/yfzp/Llama-3-8B-Instruct-SPPO-Iter1_gp_2b-table/d6cadac8-17a9-430f-94b3-6eb0c7ecc146.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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diff --git a/data/hfopenllm_v2/yfzp/Llama-3-8B-Instruct-SPPO-Iter1_gp_8b-table/0bdeac20-0505-459e-b417-ea4cb2f95cec.json b/data/hfopenllm_v2/yfzp/Llama-3-8B-Instruct-SPPO-Iter1_gp_8b-table/0bdeac20-0505-459e-b417-ea4cb2f95cec.json
deleted file mode 100644
index a0a5c55f2..000000000
--- a/data/hfopenllm_v2/yfzp/Llama-3-8B-Instruct-SPPO-Iter1_gp_8b-table/0bdeac20-0505-459e-b417-ea4cb2f95cec.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-    "source_name": "HF Open LLM v2",
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-  "model_info": {
-    "name": "yfzp/Llama-3-8B-Instruct-SPPO-Iter1_gp_8b-table",
-    "developer": "yfzp",
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-    "id": "yfzp/Llama-3-8B-Instruct-SPPO-Iter1_gp_8b-table",
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diff --git a/data/hfopenllm_v2/yfzp/Llama-3-8B-Instruct-SPPO-Iter1_gp_8b-table/122b4c1e-6e6c-4db5-8991-b091361c3ecf.json b/data/hfopenllm_v2/yfzp/Llama-3-8B-Instruct-SPPO-Iter1_gp_8b-table/122b4c1e-6e6c-4db5-8991-b091361c3ecf.json
new file mode 100644
index 000000000..f983fdb6a
--- /dev/null
+++ b/data/hfopenllm_v2/yfzp/Llama-3-8B-Instruct-SPPO-Iter1_gp_8b-table/122b4c1e-6e6c-4db5-8991-b091361c3ecf.json
@@ -0,0 +1,132 @@
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+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
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+    "evaluator_relationship": "third_party"
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+  "model_info": {
+    "name": "Llama-3-8B-Instruct-SPPO-Iter1_gp_8b-table",
+    "id": "yfzp/Llama-3-8B-Instruct-SPPO-Iter1_gp_8b-table",
+    "developer": "yfzp",
+    "inference_platform": "unknown",
+    "additional_details": {
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+      "architecture": "LlamaForCausalLM",
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+    }
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+        "score_type": "continuous",
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
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+        "score_type": "continuous",
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+        "max_score": 1.0
+      },
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
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+        "score_type": "continuous",
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
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+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
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+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/yfzp/Llama-3-8B-Instruct-SPPO-score-Iter1_bt_2b-table-0.001/6abeb0e4-32ee-4dbb-9902-b19cc96a2aa7.json b/data/hfopenllm_v2/yfzp/Llama-3-8B-Instruct-SPPO-score-Iter1_bt_2b-table-0.001/6abeb0e4-32ee-4dbb-9902-b19cc96a2aa7.json
new file mode 100644
index 000000000..269e54be1
--- /dev/null
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@@ -0,0 +1,132 @@
+{
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+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
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+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-3-8B-Instruct-SPPO-score-Iter1_bt_2b-table-0.001",
+    "id": "yfzp/Llama-3-8B-Instruct-SPPO-score-Iter1_bt_2b-table-0.001",
+    "developer": "yfzp",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
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+      },
+      "metric_config": {
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+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+      }
+    },
+    {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
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+    {
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+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
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+        "evaluation_description": "Exact Match on MATH Level 5",
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
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+      },
+      "score_details": {
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+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
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+      },
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+    },
+    {
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+      "source_data": {
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+        "hf_repo": "TIGER-Lab/MMLU-Pro"
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+      "metric_config": {
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/yfzp/Llama-3-8B-Instruct-SPPO-score-Iter1_bt_2b-table-0.001/b1ad6a57-8cad-4cca-8dd6-00ebd35089ab.json b/data/hfopenllm_v2/yfzp/Llama-3-8B-Instruct-SPPO-score-Iter1_bt_2b-table-0.001/b1ad6a57-8cad-4cca-8dd6-00ebd35089ab.json
deleted file mode 100644
index 904cceae4..000000000
--- a/data/hfopenllm_v2/yfzp/Llama-3-8B-Instruct-SPPO-score-Iter1_bt_2b-table-0.001/b1ad6a57-8cad-4cca-8dd6-00ebd35089ab.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/yfzp/Llama-3-8B-Instruct-SPPO-score-Iter1_bt_8b-table-0.002/249af8cd-717b-4ee9-8ac7-740f16708675.json b/data/hfopenllm_v2/yfzp/Llama-3-8B-Instruct-SPPO-score-Iter1_bt_8b-table-0.002/249af8cd-717b-4ee9-8ac7-740f16708675.json
deleted file mode 100644
index 6c15bfc96..000000000
--- a/data/hfopenllm_v2/yfzp/Llama-3-8B-Instruct-SPPO-score-Iter1_bt_8b-table-0.002/249af8cd-717b-4ee9-8ac7-740f16708675.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/yfzp/Llama-3-8B-Instruct-SPPO-score-Iter1_bt_8b-table-0.002/679f214f-e03f-47a9-8a11-91adbf1c4880.json b/data/hfopenllm_v2/yfzp/Llama-3-8B-Instruct-SPPO-score-Iter1_bt_8b-table-0.002/679f214f-e03f-47a9-8a11-91adbf1c4880.json
new file mode 100644
index 000000000..7cceda8ce
--- /dev/null
+++ b/data/hfopenllm_v2/yfzp/Llama-3-8B-Instruct-SPPO-score-Iter1_bt_8b-table-0.002/679f214f-e03f-47a9-8a11-91adbf1c4880.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/yfzp_Llama-3-8B-Instruct-SPPO-score-Iter1_bt_8b-table-0.002/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-3-8B-Instruct-SPPO-score-Iter1_bt_8b-table-0.002",
+    "id": "yfzp/Llama-3-8B-Instruct-SPPO-score-Iter1_bt_8b-table-0.002",
+    "developer": "yfzp",
+    "inference_platform": "unknown",
+    "additional_details": {
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+  "evaluation_results": [
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
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+      "metric_config": {
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+        "hf_repo": "SaylorTwift/bbh"
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+    {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
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+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
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+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
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+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+      "score_details": {
+        "score": 0.2601
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3831
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3734
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/yfzp/Llama-3-8B-Instruct-SPPO-score-Iter1_gp_2b-table-0.001/338737c7-29cf-44d8-be92-6749167b7c03.json b/data/hfopenllm_v2/yfzp/Llama-3-8B-Instruct-SPPO-score-Iter1_gp_2b-table-0.001/338737c7-29cf-44d8-be92-6749167b7c03.json
deleted file mode 100644
index f1ff1a16e..000000000
--- a/data/hfopenllm_v2/yfzp/Llama-3-8B-Instruct-SPPO-score-Iter1_gp_2b-table-0.001/338737c7-29cf-44d8-be92-6749167b7c03.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/yfzp_Llama-3-8B-Instruct-SPPO-score-Iter1_gp_2b-table-0.001/1762652580.6072068",
-  "retrieved_timestamp": "1762652580.6072068",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "yfzp/Llama-3-8B-Instruct-SPPO-score-Iter1_gp_2b-table-0.001",
-    "developer": "yfzp",
-    "inference_platform": "unknown",
-    "id": "yfzp/Llama-3-8B-Instruct-SPPO-score-Iter1_gp_2b-table-0.001",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6504397221594258
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.49578758563187125
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.09365558912386707
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.25922818791946306
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.36603125
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3702626329787234
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/yfzp/Llama-3-8B-Instruct-SPPO-score-Iter1_gp_2b-table-0.001/680e77b8-9c64-4c52-aa83-55236039cef1.json b/data/hfopenllm_v2/yfzp/Llama-3-8B-Instruct-SPPO-score-Iter1_gp_2b-table-0.001/680e77b8-9c64-4c52-aa83-55236039cef1.json
new file mode 100644
index 000000000..78466338e
--- /dev/null
+++ b/data/hfopenllm_v2/yfzp/Llama-3-8B-Instruct-SPPO-score-Iter1_gp_2b-table-0.001/680e77b8-9c64-4c52-aa83-55236039cef1.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/yfzp_Llama-3-8B-Instruct-SPPO-score-Iter1_gp_2b-table-0.001/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-3-8B-Instruct-SPPO-score-Iter1_gp_2b-table-0.001",
+    "id": "yfzp/Llama-3-8B-Instruct-SPPO-score-Iter1_gp_2b-table-0.001",
+    "developer": "yfzp",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6504
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4958
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0937
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2592
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.366
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3703
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/yfzp/Llama-3-8B-Instruct-SPPO-score-Iter1_gp_8b-table-0.002/aa12336f-556c-4222-a10c-529eb74a793b.json b/data/hfopenllm_v2/yfzp/Llama-3-8B-Instruct-SPPO-score-Iter1_gp_8b-table-0.002/aa12336f-556c-4222-a10c-529eb74a793b.json
deleted file mode 100644
index 34fd9a91e..000000000
--- a/data/hfopenllm_v2/yfzp/Llama-3-8B-Instruct-SPPO-score-Iter1_gp_8b-table-0.002/aa12336f-556c-4222-a10c-529eb74a793b.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/yfzp_Llama-3-8B-Instruct-SPPO-score-Iter1_gp_8b-table-0.002/1762652580.607418",
-  "retrieved_timestamp": "1762652580.6074188",
-  "source_data": [
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-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "yfzp/Llama-3-8B-Instruct-SPPO-score-Iter1_gp_8b-table-0.002",
-    "developer": "yfzp",
-    "inference_platform": "unknown",
-    "id": "yfzp/Llama-3-8B-Instruct-SPPO-score-Iter1_gp_8b-table-0.002",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7015973173402128
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4991547169583548
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.08685800604229607
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-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.25922818791946306
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.37790624999999994
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.366938164893617
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-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/yfzp/Llama-3-8B-Instruct-SPPO-score-Iter1_gp_8b-table-0.002/c24c471c-14b3-462e-8b81-6548b27e5ffc.json b/data/hfopenllm_v2/yfzp/Llama-3-8B-Instruct-SPPO-score-Iter1_gp_8b-table-0.002/c24c471c-14b3-462e-8b81-6548b27e5ffc.json
new file mode 100644
index 000000000..3d58afca0
--- /dev/null
+++ b/data/hfopenllm_v2/yfzp/Llama-3-8B-Instruct-SPPO-score-Iter1_gp_8b-table-0.002/c24c471c-14b3-462e-8b81-6548b27e5ffc.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/yfzp_Llama-3-8B-Instruct-SPPO-score-Iter1_gp_8b-table-0.002/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-3-8B-Instruct-SPPO-score-Iter1_gp_8b-table-0.002",
+    "id": "yfzp/Llama-3-8B-Instruct-SPPO-score-Iter1_gp_8b-table-0.002",
+    "developer": "yfzp",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7016
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4992
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0869
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2592
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3779
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3669
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/yifAI/Llama-3-8B-Instruct-SPPO-score-Iter3_gp_8b-table-0.002/79fad1b7-c458-4f89-9d7a-d58f70ba6c90.json b/data/hfopenllm_v2/yifAI/Llama-3-8B-Instruct-SPPO-score-Iter3_gp_8b-table-0.002/79fad1b7-c458-4f89-9d7a-d58f70ba6c90.json
deleted file mode 100644
index bc69d24f8..000000000
--- a/data/hfopenllm_v2/yifAI/Llama-3-8B-Instruct-SPPO-score-Iter3_gp_8b-table-0.002/79fad1b7-c458-4f89-9d7a-d58f70ba6c90.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/yifAI_Llama-3-8B-Instruct-SPPO-score-Iter3_gp_8b-table-0.002/1762652580.6077929",
-  "retrieved_timestamp": "1762652580.607796",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "yifAI/Llama-3-8B-Instruct-SPPO-score-Iter3_gp_8b-table-0.002",
-    "developer": "yifAI",
-    "inference_platform": "unknown",
-    "id": "yifAI/Llama-3-8B-Instruct-SPPO-score-Iter3_gp_8b-table-0.002",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6489658550423987
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.49145217071254876
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.0755287009063444
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-    },
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-      "evaluation_name": "GPQA",
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-        "evaluation_description": "Accuracy on MUSR",
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-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
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-}
diff --git a/data/hfopenllm_v2/yifAI/Llama-3-8B-Instruct-SPPO-score-Iter3_gp_8b-table-0.002/efa7fa62-2e8b-403c-b345-eef876b48dbd.json b/data/hfopenllm_v2/yifAI/Llama-3-8B-Instruct-SPPO-score-Iter3_gp_8b-table-0.002/efa7fa62-2e8b-403c-b345-eef876b48dbd.json
new file mode 100644
index 000000000..183ccc754
--- /dev/null
+++ b/data/hfopenllm_v2/yifAI/Llama-3-8B-Instruct-SPPO-score-Iter3_gp_8b-table-0.002/efa7fa62-2e8b-403c-b345-eef876b48dbd.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/yifAI_Llama-3-8B-Instruct-SPPO-score-Iter3_gp_8b-table-0.002/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-3-8B-Instruct-SPPO-score-Iter3_gp_8b-table-0.002",
+    "id": "yifAI/Llama-3-8B-Instruct-SPPO-score-Iter3_gp_8b-table-0.002",
+    "developer": "yifAI",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.649
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4915
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0755
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2617
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3899
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.352
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/ylalain/ECE-PRYMMAL-YL-1B-SLERP-V8/40bae762-65bd-4b4c-b422-ffd0fd3790a9.json b/data/hfopenllm_v2/ylalain/ECE-PRYMMAL-YL-1B-SLERP-V8/40bae762-65bd-4b4c-b422-ffd0fd3790a9.json
new file mode 100644
index 000000000..1a855481e
--- /dev/null
+++ b/data/hfopenllm_v2/ylalain/ECE-PRYMMAL-YL-1B-SLERP-V8/40bae762-65bd-4b4c-b422-ffd0fd3790a9.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/ylalain_ECE-PRYMMAL-YL-1B-SLERP-V8/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "ECE-PRYMMAL-YL-1B-SLERP-V8",
+    "id": "ylalain/ECE-PRYMMAL-YL-1B-SLERP-V8",
+    "developer": "ylalain",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 1.357
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1505
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3976
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0045
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2894
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3875
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2384
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/ylalain/ECE-PRYMMAL-YL-1B-SLERP-V8/5e4e3c08-71cd-4241-bfe9-bc242f0cc32a.json b/data/hfopenllm_v2/ylalain/ECE-PRYMMAL-YL-1B-SLERP-V8/5e4e3c08-71cd-4241-bfe9-bc242f0cc32a.json
deleted file mode 100644
index bf6e57575..000000000
--- a/data/hfopenllm_v2/ylalain/ECE-PRYMMAL-YL-1B-SLERP-V8/5e4e3c08-71cd-4241-bfe9-bc242f0cc32a.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/ylalain_ECE-PRYMMAL-YL-1B-SLERP-V8/1762652580.608171",
-  "retrieved_timestamp": "1762652580.608172",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "ylalain/ECE-PRYMMAL-YL-1B-SLERP-V8",
-    "developer": "ylalain",
-    "inference_platform": "unknown",
-    "id": "ylalain/ECE-PRYMMAL-YL-1B-SLERP-V8",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 1.357
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.15052726764983576
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3975573100103517
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.004531722054380665
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.28942953020134227
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3874583333333333
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.23836436170212766
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/ymcki/Llama-3.1-8B-GRPO-Instruct/596957cc-719c-44c7-8284-06a9ba0d1a30.json b/data/hfopenllm_v2/ymcki/Llama-3.1-8B-GRPO-Instruct/596957cc-719c-44c7-8284-06a9ba0d1a30.json
new file mode 100644
index 000000000..a68709211
--- /dev/null
+++ b/data/hfopenllm_v2/ymcki/Llama-3.1-8B-GRPO-Instruct/596957cc-719c-44c7-8284-06a9ba0d1a30.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/ymcki_Llama-3.1-8B-GRPO-Instruct/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama-3.1-8B-GRPO-Instruct",
+    "id": "ymcki/Llama-3.1-8B-GRPO-Instruct",
+    "developer": "ymcki",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7445
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5132
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2024
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2945
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3817
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3738
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/ymcki/Llama-3.1-8B-GRPO-Instruct/cb38b3bb-6188-430f-b863-9bf86cc877f9.json b/data/hfopenllm_v2/ymcki/Llama-3.1-8B-GRPO-Instruct/cb38b3bb-6188-430f-b863-9bf86cc877f9.json
deleted file mode 100644
index a354425ac..000000000
--- a/data/hfopenllm_v2/ymcki/Llama-3.1-8B-GRPO-Instruct/cb38b3bb-6188-430f-b863-9bf86cc877f9.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/ymcki_Llama-3.1-8B-GRPO-Instruct/1762652580.608475",
-  "retrieved_timestamp": "1762652580.608476",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "ymcki/Llama-3.1-8B-GRPO-Instruct",
-    "developer": "ymcki",
-    "inference_platform": "unknown",
-    "id": "ymcki/Llama-3.1-8B-GRPO-Instruct",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.744536718130117
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5131586337530801
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.20241691842900303
-      }
-    },
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diff --git a/data/hfopenllm_v2/ymcki/Llama-3.1-8B-SFT-GRPO-Instruct/706bbc09-f867-4327-bc4d-b5ede41ebd93.json b/data/hfopenllm_v2/ymcki/Llama-3.1-8B-SFT-GRPO-Instruct/706bbc09-f867-4327-bc4d-b5ede41ebd93.json
new file mode 100644
index 000000000..3032b3ce7
--- /dev/null
+++ b/data/hfopenllm_v2/ymcki/Llama-3.1-8B-SFT-GRPO-Instruct/706bbc09-f867-4327-bc4d-b5ede41ebd93.json
@@ -0,0 +1,132 @@
+{
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+  "source_metadata": {
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+    "source_type": "documentation",
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+  "model_info": {
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+    "id": "ymcki/Llama-3.1-8B-SFT-GRPO-Instruct",
+    "developer": "ymcki",
+    "inference_platform": "unknown",
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+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
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+        "hf_repo": "TAUR-Lab/MuSR"
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+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
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+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/ymcki/Llama-3.1-8B-SFT-GRPO-Instruct/938af657-ca9b-4400-84e1-002065f92f84.json b/data/hfopenllm_v2/ymcki/Llama-3.1-8B-SFT-GRPO-Instruct/938af657-ca9b-4400-84e1-002065f92f84.json
deleted file mode 100644
index 32c986a71..000000000
--- a/data/hfopenllm_v2/ymcki/Llama-3.1-8B-SFT-GRPO-Instruct/938af657-ca9b-4400-84e1-002065f92f84.json
+++ /dev/null
@@ -1,105 +0,0 @@
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diff --git a/data/hfopenllm_v2/ymcki/gemma-2-2b-ORPO-jpn-it-abliterated-18-merge/8962e9be-75bf-4f57-8ce2-b29523740851.json b/data/hfopenllm_v2/ymcki/gemma-2-2b-ORPO-jpn-it-abliterated-18-merge/8962e9be-75bf-4f57-8ce2-b29523740851.json
new file mode 100644
index 000000000..58ab0bf05
--- /dev/null
+++ b/data/hfopenllm_v2/ymcki/gemma-2-2b-ORPO-jpn-it-abliterated-18-merge/8962e9be-75bf-4f57-8ce2-b29523740851.json
@@ -0,0 +1,132 @@
+{
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+  "evaluation_id": "hfopenllm_v2/ymcki_gemma-2-2b-ORPO-jpn-it-abliterated-18-merge/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "gemma-2-2b-ORPO-jpn-it-abliterated-18-merge",
+    "id": "ymcki/gemma-2-2b-ORPO-jpn-it-abliterated-18-merge",
+    "developer": "ymcki",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Gemma2ForCausalLM",
+      "params_billions": 2.614
+    }
+  },
+  "evaluation_results": [
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
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+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
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+        "lower_is_better": false,
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+        "max_score": 1.0
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+    },
+    {
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+      },
+      "metric_config": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+      },
+      "score_details": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+    },
+    {
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+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "max_score": 1.0
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+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/ymcki/gemma-2-2b-ORPO-jpn-it-abliterated-18/014f4838-22ff-4802-a887-4d2de01a9256.json b/data/hfopenllm_v2/ymcki/gemma-2-2b-ORPO-jpn-it-abliterated-18/014f4838-22ff-4802-a887-4d2de01a9256.json
new file mode 100644
index 000000000..ff7346956
--- /dev/null
+++ b/data/hfopenllm_v2/ymcki/gemma-2-2b-ORPO-jpn-it-abliterated-18/014f4838-22ff-4802-a887-4d2de01a9256.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/ymcki_gemma-2-2b-ORPO-jpn-it-abliterated-18/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "gemma-2-2b-ORPO-jpn-it-abliterated-18",
+    "id": "ymcki/gemma-2-2b-ORPO-jpn-it-abliterated-18",
+    "developer": "ymcki",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Gemma2ForCausalLM",
+      "params_billions": 2.614
+    }
+  },
+  "evaluation_results": [
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
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+      },
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+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4053
+      }
+    },
+    {
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+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "max_score": 1.0
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+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
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+        "max_score": 1.0
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+      "score_details": {
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+    },
+    {
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+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
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+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/ymcki/gemma-2-2b-jpn-it-abliterated-17-18-24/5c6eac9c-0ec6-4364-a86b-dcd894d69f0b.json b/data/hfopenllm_v2/ymcki/gemma-2-2b-jpn-it-abliterated-17-18-24/5c6eac9c-0ec6-4364-a86b-dcd894d69f0b.json
new file mode 100644
index 000000000..758147784
--- /dev/null
+++ b/data/hfopenllm_v2/ymcki/gemma-2-2b-jpn-it-abliterated-17-18-24/5c6eac9c-0ec6-4364-a86b-dcd894d69f0b.json
@@ -0,0 +1,132 @@
+{
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+  "evaluation_id": "hfopenllm_v2/ymcki_gemma-2-2b-jpn-it-abliterated-17-18-24/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "gemma-2-2b-jpn-it-abliterated-17-18-24",
+    "id": "ymcki/gemma-2-2b-jpn-it-abliterated-17-18-24",
+    "developer": "ymcki",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Gemma2ForCausalLM",
+      "params_billions": 2.614
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
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+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
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+    },
+    {
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+        "source_type": "hf_dataset",
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diff --git a/data/hfopenllm_v2/ymcki/gemma-2-2b-jpn-it-abliterated-17-ORPO-alpaca/09b81cf2-3b79-448c-ab8e-87e378c804bb.json b/data/hfopenllm_v2/ymcki/gemma-2-2b-jpn-it-abliterated-17-ORPO-alpaca/09b81cf2-3b79-448c-ab8e-87e378c804bb.json
new file mode 100644
index 000000000..d9039ff8d
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new file mode 100644
index 000000000..89ebbecdf
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diff --git a/data/hfopenllm_v2/ymcki/gemma-2-2b-jpn-it-abliterated-17/845ea162-cfa1-47f4-8914-d81d9bf1bb7d.json b/data/hfopenllm_v2/ymcki/gemma-2-2b-jpn-it-abliterated-17/845ea162-cfa1-47f4-8914-d81d9bf1bb7d.json
new file mode 100644
index 000000000..b0dc22bac
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diff --git a/data/hfopenllm_v2/ymcki/gemma-2-2b-jpn-it-abliterated-18-ORPO/706737c7-cd1a-4958-9ffc-2655f0b50178.json b/data/hfopenllm_v2/ymcki/gemma-2-2b-jpn-it-abliterated-18-ORPO/706737c7-cd1a-4958-9ffc-2655f0b50178.json
new file mode 100644
index 000000000..1d4acd4a2
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diff --git a/data/hfopenllm_v2/ymcki/gemma-2-2b-jpn-it-abliterated-18/5acd58cd-8dfb-4fb7-8832-6bc151e0b1a1.json b/data/hfopenllm_v2/ymcki/gemma-2-2b-jpn-it-abliterated-18/5acd58cd-8dfb-4fb7-8832-6bc151e0b1a1.json
new file mode 100644
index 000000000..902673fd5
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new file mode 100644
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new file mode 100644
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+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2635
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/yuvraj17/Llama3-8B-SuperNova-Spectrum-Hermes-DPO/d22c83a1-9c1c-43df-b033-c6cb75cb389d.json b/data/hfopenllm_v2/yuvraj17/Llama3-8B-SuperNova-Spectrum-Hermes-DPO/d22c83a1-9c1c-43df-b033-c6cb75cb389d.json
deleted file mode 100644
index c1e91fecd..000000000
--- a/data/hfopenllm_v2/yuvraj17/Llama3-8B-SuperNova-Spectrum-Hermes-DPO/d22c83a1-9c1c-43df-b033-c6cb75cb389d.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/yuvraj17_Llama3-8B-SuperNova-Spectrum-Hermes-DPO/1762652580.611586",
-  "retrieved_timestamp": "1762652580.611586",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "yuvraj17/Llama3-8B-SuperNova-Spectrum-Hermes-DPO",
-    "developer": "yuvraj17",
-    "inference_platform": "unknown",
-    "id": "yuvraj17/Llama3-8B-SuperNova-Spectrum-Hermes-DPO",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "LlamaForCausalLM",
-      "params_billions": 8.03
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4690897928607206
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4399870586095269
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.05664652567975831
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.30201342281879195
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.40121875
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.2634640957446808
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/yuvraj17/Llama3-8B-SuperNova-Spectrum-dare_ties/62e04968-0c5c-4aad-a434-d9d24bccbdb8.json b/data/hfopenllm_v2/yuvraj17/Llama3-8B-SuperNova-Spectrum-dare_ties/62e04968-0c5c-4aad-a434-d9d24bccbdb8.json
new file mode 100644
index 000000000..76030c29d
--- /dev/null
+++ b/data/hfopenllm_v2/yuvraj17/Llama3-8B-SuperNova-Spectrum-dare_ties/62e04968-0c5c-4aad-a434-d9d24bccbdb8.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/yuvraj17_Llama3-8B-SuperNova-Spectrum-dare_ties/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama3-8B-SuperNova-Spectrum-dare_ties",
+    "id": "yuvraj17/Llama3-8B-SuperNova-Spectrum-dare_ties",
+    "developer": "yuvraj17",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4013
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4616
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0846
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2752
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4211
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3574
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/yuvraj17/Llama3-8B-abliterated-Spectrum-slerp/bae4064e-b10f-4082-876d-e4168ca1a8cc.json b/data/hfopenllm_v2/yuvraj17/Llama3-8B-abliterated-Spectrum-slerp/bae4064e-b10f-4082-876d-e4168ca1a8cc.json
new file mode 100644
index 000000000..95dd6c5ed
--- /dev/null
+++ b/data/hfopenllm_v2/yuvraj17/Llama3-8B-abliterated-Spectrum-slerp/bae4064e-b10f-4082-876d-e4168ca1a8cc.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/yuvraj17_Llama3-8B-abliterated-Spectrum-slerp/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Llama3-8B-abliterated-Spectrum-slerp",
+    "id": "yuvraj17/Llama3-8B-abliterated-Spectrum-slerp",
+    "developer": "yuvraj17",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": 8.03
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2885
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4978
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0604
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3012
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3998
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3257
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/zake7749/gemma-2-2b-it-chinese-kyara-dpo/0040b48c-0f54-4c9b-97ee-1ca833c68e36.json b/data/hfopenllm_v2/zake7749/gemma-2-2b-it-chinese-kyara-dpo/0040b48c-0f54-4c9b-97ee-1ca833c68e36.json
new file mode 100644
index 000000000..c07d9eb08
--- /dev/null
+++ b/data/hfopenllm_v2/zake7749/gemma-2-2b-it-chinese-kyara-dpo/0040b48c-0f54-4c9b-97ee-1ca833c68e36.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/zake7749_gemma-2-2b-it-chinese-kyara-dpo/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "gemma-2-2b-it-chinese-kyara-dpo",
+    "id": "zake7749/gemma-2-2b-it-chinese-kyara-dpo",
+    "developer": "zake7749",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Gemma2ForCausalLM",
+      "params_billions": 2.614
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5382
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4257
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0838
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2668
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4576
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2573
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/zake7749/gemma-2-2b-it-chinese-kyara-dpo/4fbaf39a-86a1-4b79-aeeb-e14c2de64666.json b/data/hfopenllm_v2/zake7749/gemma-2-2b-it-chinese-kyara-dpo/4fbaf39a-86a1-4b79-aeeb-e14c2de64666.json
deleted file mode 100644
index 3f8c4bbdf..000000000
--- a/data/hfopenllm_v2/zake7749/gemma-2-2b-it-chinese-kyara-dpo/4fbaf39a-86a1-4b79-aeeb-e14c2de64666.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/zake7749_gemma-2-2b-it-chinese-kyara-dpo/1762652580.612313",
-  "retrieved_timestamp": "1762652580.6123142",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "zake7749/gemma-2-2b-it-chinese-kyara-dpo",
-    "developer": "zake7749",
-    "inference_platform": "unknown",
-    "id": "zake7749/gemma-2-2b-it-chinese-kyara-dpo",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Gemma2ForCausalLM",
-      "params_billions": 2.614
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5382075116247114
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4257464897414603
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.08383685800604229
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.26677852348993286
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
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new file mode 100644
index 000000000..0bf944e0e
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+++ b/data/hfopenllm_v2/zake7749/gemma-2-9b-it-chinese-kyara/6050e969-bcde-4594-8e53-05fa74c7287d.json
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diff --git a/data/hfopenllm_v2/zelk12/Gemma-2-TM-9B/3aaee358-bf3e-4d91-91bf-bd42e0a7c61e.json b/data/hfopenllm_v2/zelk12/Gemma-2-TM-9B/3aaee358-bf3e-4d91-91bf-bd42e0a7c61e.json
new file mode 100644
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diff --git a/data/hfopenllm_v2/zelk12/MT-Gen1-gemma-2-9B/ef5f4fb2-f409-49dc-b3f0-f3e19585cd8a.json b/data/hfopenllm_v2/zelk12/MT-Gen1-gemma-2-9B/ef5f4fb2-f409-49dc-b3f0-f3e19585cd8a.json
new file mode 100644
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diff --git a/data/hfopenllm_v2/zelk12/MT-Gen2-GI-gemma-2-9B/4048fa60-7427-4f7e-9939-e270aa5e8b51.json b/data/hfopenllm_v2/zelk12/MT-Gen2-GI-gemma-2-9B/4048fa60-7427-4f7e-9939-e270aa5e8b51.json
new file mode 100644
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diff --git a/data/hfopenllm_v2/zelk12/MT-Gen2-gemma-2-9B/f5c9baea-f2cf-414a-937a-6a43f55a1c1d.json b/data/hfopenllm_v2/zelk12/MT-Gen2-gemma-2-9B/f5c9baea-f2cf-414a-937a-6a43f55a1c1d.json
new file mode 100644
index 000000000..1b3fd4238
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diff --git a/data/hfopenllm_v2/zelk12/MT-Gen3-gemma-2-9B/1da70796-d40b-4f2a-8ce3-b304f414a6d5.json b/data/hfopenllm_v2/zelk12/MT-Gen3-gemma-2-9B/1da70796-d40b-4f2a-8ce3-b304f414a6d5.json
new file mode 100644
index 000000000..9a41654cb
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+++ b/data/hfopenllm_v2/zelk12/MT-Gen3-gemma-2-9B/1da70796-d40b-4f2a-8ce3-b304f414a6d5.json
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diff --git a/data/hfopenllm_v2/zelk12/MT-Gen4-gemma-2-9B/de476f79-2539-4f9e-a1d2-901c6c4342d4.json b/data/hfopenllm_v2/zelk12/MT-Gen4-gemma-2-9B/de476f79-2539-4f9e-a1d2-901c6c4342d4.json
new file mode 100644
index 000000000..6c3bf327c
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+++ b/data/hfopenllm_v2/zelk12/MT-Gen4-gemma-2-9B/de476f79-2539-4f9e-a1d2-901c6c4342d4.json
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diff --git a/data/hfopenllm_v2/zelk12/MT-Gen5-gemma-2-9B/80aee542-c894-46b6-a6ed-9f3400aefa9e.json b/data/hfopenllm_v2/zelk12/MT-Gen5-gemma-2-9B/80aee542-c894-46b6-a6ed-9f3400aefa9e.json
new file mode 100644
index 000000000..758fecb7b
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+++ b/data/hfopenllm_v2/zelk12/MT-Gen5-gemma-2-9B/80aee542-c894-46b6-a6ed-9f3400aefa9e.json
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/zelk12/MT-Gen6-gemma-2-9B/5c9d4eaf-0985-4f9e-8007-08b4081bb19d.json b/data/hfopenllm_v2/zelk12/MT-Gen6-gemma-2-9B/5c9d4eaf-0985-4f9e-8007-08b4081bb19d.json
new file mode 100644
index 000000000..d42787489
--- /dev/null
+++ b/data/hfopenllm_v2/zelk12/MT-Gen6-gemma-2-9B/5c9d4eaf-0985-4f9e-8007-08b4081bb19d.json
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/zelk12/MT-Gen6fix-gemma-2-9B/4b019824-8454-4ce8-aa49-d122a2491f9c.json b/data/hfopenllm_v2/zelk12/MT-Gen6fix-gemma-2-9B/4b019824-8454-4ce8-aa49-d122a2491f9c.json
new file mode 100644
index 000000000..ea018b3ba
--- /dev/null
+++ b/data/hfopenllm_v2/zelk12/MT-Gen6fix-gemma-2-9B/4b019824-8454-4ce8-aa49-d122a2491f9c.json
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diff --git a/data/hfopenllm_v2/zelk12/MT-Gen7-gemma-2-9B/0dfcd13c-f057-4aec-82ad-b5cf2b266502.json b/data/hfopenllm_v2/zelk12/MT-Gen7-gemma-2-9B/0dfcd13c-f057-4aec-82ad-b5cf2b266502.json
new file mode 100644
index 000000000..dd5c80820
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diff --git a/data/hfopenllm_v2/zelk12/MT-Max-Merge_02012025163610-gemma-2-9B/927589bf-f6a0-4155-a24b-120231bbf029.json b/data/hfopenllm_v2/zelk12/MT-Max-Merge_02012025163610-gemma-2-9B/927589bf-f6a0-4155-a24b-120231bbf029.json
new file mode 100644
index 000000000..57eea20ea
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diff --git a/data/hfopenllm_v2/zelk12/MT-Merge-gemma-2-9B/1a2740cb-c541-434e-89a1-7a9fd2c4cabd.json b/data/hfopenllm_v2/zelk12/MT-Merge-gemma-2-9B/1a2740cb-c541-434e-89a1-7a9fd2c4cabd.json
new file mode 100644
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diff --git a/data/hfopenllm_v2/zelk12/MT-Merge1-gemma-2-9B/0110d1c9-755e-4f09-888b-0c9c1a263639.json b/data/hfopenllm_v2/zelk12/MT-Merge1-gemma-2-9B/0110d1c9-755e-4f09-888b-0c9c1a263639.json
new file mode 100644
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new file mode 100644
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diff --git a/data/hfopenllm_v2/zelk12/MT-Merge3-gemma-2-9B/acf07f51-5acd-4375-bafa-7a1a244db3c6.json b/data/hfopenllm_v2/zelk12/MT-Merge3-gemma-2-9B/acf07f51-5acd-4375-bafa-7a1a244db3c6.json
new file mode 100644
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diff --git a/data/hfopenllm_v2/zelk12/MT-Merge4-gemma-2-9B/ff985193-ba26-45d3-97be-b7d3b17ab4d7.json b/data/hfopenllm_v2/zelk12/MT-Merge4-gemma-2-9B/ff985193-ba26-45d3-97be-b7d3b17ab4d7.json
new file mode 100644
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diff --git a/data/hfopenllm_v2/zelk12/MT-Merge5-gemma-2-9B/21dbea2c-5cb1-431c-a496-af9b932b3440.json b/data/hfopenllm_v2/zelk12/MT-Merge5-gemma-2-9B/21dbea2c-5cb1-431c-a496-af9b932b3440.json
new file mode 100644
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diff --git a/data/hfopenllm_v2/zelk12/MT-Merge6-gemma-2-9B/1143955c-c32c-4b41-8484-2c77e72f4946.json b/data/hfopenllm_v2/zelk12/MT-Merge6-gemma-2-9B/1143955c-c32c-4b41-8484-2c77e72f4946.json
new file mode 100644
index 000000000..348e60c56
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diff --git a/data/hfopenllm_v2/zelk12/MT-gemma-2-9B/94824ceb-08c3-415c-8003-b70a0d9af09d.json b/data/hfopenllm_v2/zelk12/MT-gemma-2-9B/94824ceb-08c3-415c-8003-b70a0d9af09d.json
new file mode 100644
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diff --git a/data/hfopenllm_v2/zelk12/MT1-Gen1-gemma-2-9B/bf2903cb-b954-4870-98c3-116a96aa49fb.json b/data/hfopenllm_v2/zelk12/MT1-Gen1-gemma-2-9B/bf2903cb-b954-4870-98c3-116a96aa49fb.json
new file mode 100644
index 000000000..8e7b2f927
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diff --git a/data/hfopenllm_v2/zelk12/MT1-Gen2-gemma-2-9B/b089c439-a38c-438d-bdad-1c68a1265d95.json b/data/hfopenllm_v2/zelk12/MT1-Gen2-gemma-2-9B/b089c439-a38c-438d-bdad-1c68a1265d95.json
new file mode 100644
index 000000000..714f19ac3
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/zelk12/MT1-Gen3-gemma-2-9B/c988815b-50e5-47e4-a418-bbbcdf1eb4a0.json b/data/hfopenllm_v2/zelk12/MT1-Gen3-gemma-2-9B/c988815b-50e5-47e4-a418-bbbcdf1eb4a0.json
new file mode 100644
index 000000000..e7e79fa7b
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+++ b/data/hfopenllm_v2/zelk12/MT1-Gen3-gemma-2-9B/c988815b-50e5-47e4-a418-bbbcdf1eb4a0.json
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/zelk12/MT1-Gen4-gemma-2-9B/fa11d66c-7ebc-4b81-83b7-d35a4ff23d3f.json b/data/hfopenllm_v2/zelk12/MT1-Gen4-gemma-2-9B/fa11d66c-7ebc-4b81-83b7-d35a4ff23d3f.json
new file mode 100644
index 000000000..b6d5e1c4b
--- /dev/null
+++ b/data/hfopenllm_v2/zelk12/MT1-Gen4-gemma-2-9B/fa11d66c-7ebc-4b81-83b7-d35a4ff23d3f.json
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/zelk12/MT1-Gen5-IF-gemma-2-S2DMv1-9B/1c81787b-594e-4bb6-aee1-7f193a628b16.json b/data/hfopenllm_v2/zelk12/MT1-Gen5-IF-gemma-2-S2DMv1-9B/1c81787b-594e-4bb6-aee1-7f193a628b16.json
new file mode 100644
index 000000000..c2e0e4354
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/zelk12/MT1-Gen5-gemma-2-9B/fd9ce37e-d43d-4ec2-94ec-0eb42e3cc685.json b/data/hfopenllm_v2/zelk12/MT1-Gen5-gemma-2-9B/fd9ce37e-d43d-4ec2-94ec-0eb42e3cc685.json
new file mode 100644
index 000000000..c299e1f9b
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/zelk12/MT1-Gen6-gemma-2-9B/0625f09a-3e02-410b-963b-49b83dfc5c8f.json b/data/hfopenllm_v2/zelk12/MT1-Gen6-gemma-2-9B/0625f09a-3e02-410b-963b-49b83dfc5c8f.json
new file mode 100644
index 000000000..550cda232
--- /dev/null
+++ b/data/hfopenllm_v2/zelk12/MT1-Gen6-gemma-2-9B/0625f09a-3e02-410b-963b-49b83dfc5c8f.json
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/zelk12/MT1-Gen7-gemma-2-9B/50c1399e-b409-4dff-b4d6-9be01dbb02c7.json b/data/hfopenllm_v2/zelk12/MT1-Gen7-gemma-2-9B/50c1399e-b409-4dff-b4d6-9be01dbb02c7.json
new file mode 100644
index 000000000..2e79a59e4
--- /dev/null
+++ b/data/hfopenllm_v2/zelk12/MT1-Gen7-gemma-2-9B/50c1399e-b409-4dff-b4d6-9be01dbb02c7.json
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diff --git a/data/hfopenllm_v2/zelk12/MT1-Max-Merge_02012025163610-gemma-2-9B/402bdb4a-b258-40a4-ac9f-de74026c02f3.json b/data/hfopenllm_v2/zelk12/MT1-Max-Merge_02012025163610-gemma-2-9B/402bdb4a-b258-40a4-ac9f-de74026c02f3.json
new file mode 100644
index 000000000..09acf9468
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+++ b/data/hfopenllm_v2/zelk12/MT1-Max-Merge_02012025163610-gemma-2-9B/402bdb4a-b258-40a4-ac9f-de74026c02f3.json
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diff --git a/data/hfopenllm_v2/zelk12/MT1-gemma-2-9B/65dcf458-db0f-45cd-a8a4-e16108e51161.json b/data/hfopenllm_v2/zelk12/MT1-gemma-2-9B/65dcf458-db0f-45cd-a8a4-e16108e51161.json
new file mode 100644
index 000000000..f7d6bc79e
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diff --git a/data/hfopenllm_v2/zelk12/MT2-Gen1-gemma-2-9B/f1346b1a-0e66-4d80-bfad-ccbe0a8e2abf.json b/data/hfopenllm_v2/zelk12/MT2-Gen1-gemma-2-9B/f1346b1a-0e66-4d80-bfad-ccbe0a8e2abf.json
new file mode 100644
index 000000000..44374c9d5
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+++ b/data/hfopenllm_v2/zelk12/MT2-Gen1-gemma-2-9B/f1346b1a-0e66-4d80-bfad-ccbe0a8e2abf.json
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/zelk12/MT2-Gen2-gemma-2-9B/11e7b55a-d872-474a-98a6-fc82ce5a863e.json b/data/hfopenllm_v2/zelk12/MT2-Gen2-gemma-2-9B/11e7b55a-d872-474a-98a6-fc82ce5a863e.json
new file mode 100644
index 000000000..3faf801d3
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diff --git a/data/hfopenllm_v2/zelk12/MT2-Gen3-gemma-2-9B/19688633-fa6c-412a-8dbc-c16fc49b3276.json b/data/hfopenllm_v2/zelk12/MT2-Gen3-gemma-2-9B/19688633-fa6c-412a-8dbc-c16fc49b3276.json
new file mode 100644
index 000000000..b70f067a8
--- /dev/null
+++ b/data/hfopenllm_v2/zelk12/MT2-Gen3-gemma-2-9B/19688633-fa6c-412a-8dbc-c16fc49b3276.json
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diff --git a/data/hfopenllm_v2/zelk12/MT2-Gen4-gemma-2-9B/7d67eb9c-a4d8-4b86-8c24-928ebbe58de7.json b/data/hfopenllm_v2/zelk12/MT2-Gen4-gemma-2-9B/7d67eb9c-a4d8-4b86-8c24-928ebbe58de7.json
new file mode 100644
index 000000000..70dd1549f
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diff --git a/data/hfopenllm_v2/zelk12/MT2-Gen5-gemma-2-9B/447f880c-643f-4041-8cdb-87697d798085.json b/data/hfopenllm_v2/zelk12/MT2-Gen5-gemma-2-9B/447f880c-643f-4041-8cdb-87697d798085.json
new file mode 100644
index 000000000..2ef223d58
--- /dev/null
+++ b/data/hfopenllm_v2/zelk12/MT2-Gen5-gemma-2-9B/447f880c-643f-4041-8cdb-87697d798085.json
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/zelk12/MT2-Gen6-gemma-2-9B/653d459e-f8b7-48bc-a9db-779e515532cf.json b/data/hfopenllm_v2/zelk12/MT2-Gen6-gemma-2-9B/653d459e-f8b7-48bc-a9db-779e515532cf.json
new file mode 100644
index 000000000..828f27f8f
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+++ b/data/hfopenllm_v2/zelk12/MT2-Gen6-gemma-2-9B/653d459e-f8b7-48bc-a9db-779e515532cf.json
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/zelk12/MT2-Gen7-gemma-2-9B/4e56faf6-dbde-4059-b502-32c76bdbed2d.json b/data/hfopenllm_v2/zelk12/MT2-Gen7-gemma-2-9B/4e56faf6-dbde-4059-b502-32c76bdbed2d.json
new file mode 100644
index 000000000..64fc4a08f
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+++ b/data/hfopenllm_v2/zelk12/MT2-Gen7-gemma-2-9B/4e56faf6-dbde-4059-b502-32c76bdbed2d.json
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diff --git a/data/hfopenllm_v2/zelk12/MT2-Max-Merge_02012025163610-gemma-2-9B/f161df97-3cc6-48d3-bfc5-d3f01108ecbb.json b/data/hfopenllm_v2/zelk12/MT2-Max-Merge_02012025163610-gemma-2-9B/f161df97-3cc6-48d3-bfc5-d3f01108ecbb.json
new file mode 100644
index 000000000..565a40eb8
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+++ b/data/hfopenllm_v2/zelk12/MT2-Max-Merge_02012025163610-gemma-2-9B/f161df97-3cc6-48d3-bfc5-d3f01108ecbb.json
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diff --git a/data/hfopenllm_v2/zelk12/MT2-gemma-2-9B/7d08412d-e987-497f-a6ec-ce0affe0f80f.json b/data/hfopenllm_v2/zelk12/MT2-gemma-2-9B/7d08412d-e987-497f-a6ec-ce0affe0f80f.json
new file mode 100644
index 000000000..adfbad27f
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diff --git a/data/hfopenllm_v2/zelk12/MT3-Gen1-gemma-2-9B/f042f897-cfe8-4d8c-b75b-bbfca44505ea.json b/data/hfopenllm_v2/zelk12/MT3-Gen1-gemma-2-9B/f042f897-cfe8-4d8c-b75b-bbfca44505ea.json
new file mode 100644
index 000000000..4eb9a7a77
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diff --git a/data/hfopenllm_v2/zelk12/MT3-Gen2-gemma-2-9B/f24ab334-c022-4e34-a930-3fed6ee18793.json b/data/hfopenllm_v2/zelk12/MT3-Gen2-gemma-2-9B/f24ab334-c022-4e34-a930-3fed6ee18793.json
new file mode 100644
index 000000000..84a45fd26
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+++ b/data/hfopenllm_v2/zelk12/MT3-Gen2-gemma-2-9B/f24ab334-c022-4e34-a930-3fed6ee18793.json
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/zelk12/MT3-Gen3-gemma-2-9B/2bd3c620-780f-452d-92d7-d01a04539939.json b/data/hfopenllm_v2/zelk12/MT3-Gen3-gemma-2-9B/2bd3c620-780f-452d-92d7-d01a04539939.json
new file mode 100644
index 000000000..03053bdd1
--- /dev/null
+++ b/data/hfopenllm_v2/zelk12/MT3-Gen3-gemma-2-9B/2bd3c620-780f-452d-92d7-d01a04539939.json
@@ -0,0 +1,132 @@
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diff --git a/data/hfopenllm_v2/zelk12/MT3-Gen4-gemma-2-9B/234042bd-237f-4cc5-8c5d-1eacd2e8bfaa.json b/data/hfopenllm_v2/zelk12/MT3-Gen4-gemma-2-9B/234042bd-237f-4cc5-8c5d-1eacd2e8bfaa.json
new file mode 100644
index 000000000..283c8ee00
--- /dev/null
+++ b/data/hfopenllm_v2/zelk12/MT3-Gen4-gemma-2-9B/234042bd-237f-4cc5-8c5d-1eacd2e8bfaa.json
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diff --git a/data/hfopenllm_v2/zelk12/MT3-Gen5-gemma-2-9B/d8e0a32e-f307-4056-b450-47a12a0a7b15.json b/data/hfopenllm_v2/zelk12/MT3-Gen5-gemma-2-9B/d8e0a32e-f307-4056-b450-47a12a0a7b15.json
new file mode 100644
index 000000000..e636eb2e9
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diff --git a/data/hfopenllm_v2/zelk12/MT3-Gen5-gemma-2-9B_v1/9dc3c4f5-8974-4496-8a6e-daa4fe3e3c2a.json b/data/hfopenllm_v2/zelk12/MT3-Gen5-gemma-2-9B_v1/9dc3c4f5-8974-4496-8a6e-daa4fe3e3c2a.json
new file mode 100644
index 000000000..90b69beb0
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/zelk12/MT3-Gen6-gemma-2-9B/037787fb-9c61-4c56-a7fc-704c04b519f7.json b/data/hfopenllm_v2/zelk12/MT3-Gen6-gemma-2-9B/037787fb-9c61-4c56-a7fc-704c04b519f7.json
new file mode 100644
index 000000000..bff72f6ad
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diff --git a/data/hfopenllm_v2/zelk12/MT3-Max-Merge_02012025163610-gemma-2-9B/5df3dd8f-4921-4916-8163-8651b796e478.json b/data/hfopenllm_v2/zelk12/MT3-Max-Merge_02012025163610-gemma-2-9B/5df3dd8f-4921-4916-8163-8651b796e478.json
new file mode 100644
index 000000000..71138b3be
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diff --git a/data/hfopenllm_v2/zelk12/MT3-gemma-2-9B/50463593-3a53-4b3f-9621-d05670309b7e.json b/data/hfopenllm_v2/zelk12/MT3-gemma-2-9B/50463593-3a53-4b3f-9621-d05670309b7e.json
new file mode 100644
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diff --git a/data/hfopenllm_v2/zelk12/MT4-Gen1-gemma-2-9B/d7fef356-36c7-488f-8f49-997682a2c01a.json b/data/hfopenllm_v2/zelk12/MT4-Gen1-gemma-2-9B/d7fef356-36c7-488f-8f49-997682a2c01a.json
new file mode 100644
index 000000000..7bdf9dc8f
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diff --git a/data/hfopenllm_v2/zelk12/MT4-Gen2-gemma-2-9B/42e7abc6-eaa2-4971-90ee-e4d9dbb97ddb.json b/data/hfopenllm_v2/zelk12/MT4-Gen2-gemma-2-9B/42e7abc6-eaa2-4971-90ee-e4d9dbb97ddb.json
new file mode 100644
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diff --git a/data/hfopenllm_v2/zelk12/MT4-Gen3-gemma-2-9B/b1cf06a6-d270-41ae-bb9b-443bdc5446f3.json b/data/hfopenllm_v2/zelk12/MT4-Gen3-gemma-2-9B/b1cf06a6-d270-41ae-bb9b-443bdc5446f3.json
new file mode 100644
index 000000000..5a8bcf436
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diff --git a/data/hfopenllm_v2/zelk12/MT4-Gen4-gemma-2-9B/e40ea476-bcc5-4d3b-bf8e-e5048d9cbe42.json b/data/hfopenllm_v2/zelk12/MT4-Gen4-gemma-2-9B/e40ea476-bcc5-4d3b-bf8e-e5048d9cbe42.json
new file mode 100644
index 000000000..fd69e6724
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diff --git a/data/hfopenllm_v2/zelk12/MT4-Gen5-gemma-2-9B/731a5f85-a59e-40af-870c-00e519ca0e7e.json b/data/hfopenllm_v2/zelk12/MT4-Gen5-gemma-2-9B/731a5f85-a59e-40af-870c-00e519ca0e7e.json
new file mode 100644
index 000000000..bc85cdb46
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diff --git a/data/hfopenllm_v2/zelk12/MT4-Max-Merge_02012025163610-gemma-2-9B/38d93ae8-90ec-473c-8570-33d52c46770b.json b/data/hfopenllm_v2/zelk12/MT4-Max-Merge_02012025163610-gemma-2-9B/38d93ae8-90ec-473c-8570-33d52c46770b.json
new file mode 100644
index 000000000..197b1a326
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diff --git a/data/hfopenllm_v2/zelk12/MT4-gemma-2-9B/9072fd28-040b-44df-bd58-6e3f59398189.json b/data/hfopenllm_v2/zelk12/MT4-gemma-2-9B/9072fd28-040b-44df-bd58-6e3f59398189.json
new file mode 100644
index 000000000..7380725c6
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diff --git a/data/hfopenllm_v2/zelk12/MT5-Gen1-gemma-2-9B/14827e00-09c5-4ebd-93cb-8e026ac73d20.json b/data/hfopenllm_v2/zelk12/MT5-Gen1-gemma-2-9B/14827e00-09c5-4ebd-93cb-8e026ac73d20.json
new file mode 100644
index 000000000..045a5d93e
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diff --git a/data/hfopenllm_v2/zelk12/MT5-Gen2-gemma-2-9B/11e76d74-b8e0-408f-b429-566faa5d60a2.json b/data/hfopenllm_v2/zelk12/MT5-Gen2-gemma-2-9B/11e76d74-b8e0-408f-b429-566faa5d60a2.json
new file mode 100644
index 000000000..0398ea5dd
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+++ b/data/hfopenllm_v2/zelk12/MT5-Gen2-gemma-2-9B/11e76d74-b8e0-408f-b429-566faa5d60a2.json
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diff --git a/data/hfopenllm_v2/zelk12/MT5-Gen3-gemma-2-9B/944c84d8-231d-47ef-85f4-23c0286a4a02.json b/data/hfopenllm_v2/zelk12/MT5-Gen3-gemma-2-9B/944c84d8-231d-47ef-85f4-23c0286a4a02.json
new file mode 100644
index 000000000..1735bd1eb
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+++ b/data/hfopenllm_v2/zelk12/MT5-Gen3-gemma-2-9B/944c84d8-231d-47ef-85f4-23c0286a4a02.json
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diff --git a/data/hfopenllm_v2/zelk12/MT5-Gen4-gemma-2-9B/47c8da1d-8ce3-4d19-b8b8-6b5e68e2e8ab.json b/data/hfopenllm_v2/zelk12/MT5-Gen4-gemma-2-9B/47c8da1d-8ce3-4d19-b8b8-6b5e68e2e8ab.json
new file mode 100644
index 000000000..4db3a4fe8
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/zelk12/MT5-Gen5-gemma-2-9B/ca54a8d4-153b-4169-b6ee-133461a9bedd.json b/data/hfopenllm_v2/zelk12/MT5-Gen5-gemma-2-9B/ca54a8d4-153b-4169-b6ee-133461a9bedd.json
new file mode 100644
index 000000000..08cfd2a70
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+++ b/data/hfopenllm_v2/zelk12/MT5-Gen5-gemma-2-9B/ca54a8d4-153b-4169-b6ee-133461a9bedd.json
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new file mode 100644
index 000000000..5dfae6c49
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new file mode 100644
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diff --git a/data/hfopenllm_v2/zelk12/MTMaMe-Merge_02012025163610-gemma-2-9B/e0f0fe87-8ed3-4398-8683-65aa042d01d9.json b/data/hfopenllm_v2/zelk12/MTMaMe-Merge_02012025163610-gemma-2-9B/e0f0fe87-8ed3-4398-8683-65aa042d01d9.json
new file mode 100644
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diff --git a/data/hfopenllm_v2/zelk12/Rv0.4DMv1t0.25-gemma-2-9B/2d968d3e-a3df-4bdf-86a4-034087c0d7fc.json b/data/hfopenllm_v2/zelk12/Rv0.4DMv1t0.25-gemma-2-9B/2d968d3e-a3df-4bdf-86a4-034087c0d7fc.json
new file mode 100644
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/zelk12/Rv0.4DMv1t0.25Tt0.25-gemma-2-9B/db476911-87fb-433f-b164-4435718dab46.json b/data/hfopenllm_v2/zelk12/Rv0.4DMv1t0.25Tt0.25-gemma-2-9B/db476911-87fb-433f-b164-4435718dab46.json
new file mode 100644
index 000000000..48c1ee534
--- /dev/null
+++ b/data/hfopenllm_v2/zelk12/Rv0.4DMv1t0.25Tt0.25-gemma-2-9B/db476911-87fb-433f-b164-4435718dab46.json
@@ -0,0 +1,132 @@
+{
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+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
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+    "id": "zelk12/Rv0.4DMv1t0.25Tt0.25-gemma-2-9B",
+    "developer": "zelk12",
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+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/zelk12/Rv0.4MT4g2-gemma-2-9B/75a967f6-a8ab-435f-999b-4889e8217dce.json b/data/hfopenllm_v2/zelk12/Rv0.4MT4g2-gemma-2-9B/75a967f6-a8ab-435f-999b-4889e8217dce.json
new file mode 100644
index 000000000..eb1701501
--- /dev/null
+++ b/data/hfopenllm_v2/zelk12/Rv0.4MT4g2-gemma-2-9B/75a967f6-a8ab-435f-999b-4889e8217dce.json
@@ -0,0 +1,132 @@
+{
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+    "source_type": "documentation",
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+    "developer": "zelk12",
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+      "architecture": "Gemma2ForCausalLM",
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+        "score_type": "continuous",
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+        "max_score": 1.0
+      },
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+    },
+    {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
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+        "hf_repo": "TIGER-Lab/MMLU-Pro"
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+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/zelk12/T31122024203920-gemma-2-9B/e072997b-2f79-4d25-b8dc-ebf15ac311e1.json b/data/hfopenllm_v2/zelk12/T31122024203920-gemma-2-9B/e072997b-2f79-4d25-b8dc-ebf15ac311e1.json
new file mode 100644
index 000000000..2fd27ce58
--- /dev/null
+++ b/data/hfopenllm_v2/zelk12/T31122024203920-gemma-2-9B/e072997b-2f79-4d25-b8dc-ebf15ac311e1.json
@@ -0,0 +1,132 @@
+{
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+  "evaluation_id": "hfopenllm_v2/zelk12_T31122024203920-gemma-2-9B/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "T31122024203920-gemma-2-9B",
+    "id": "zelk12/T31122024203920-gemma-2-9B",
+    "developer": "zelk12",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Gemma2ForCausalLM",
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+    }
+  },
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+    {
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+        "score_type": "continuous",
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+        "max_score": 1.0
+      },
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
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+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+      }
+    },
+    {
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+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
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+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
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+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
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+    },
+    {
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+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
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+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/zelk12/Test01012025155054/6d681a29-0d1a-4054-8250-5246993509f8.json b/data/hfopenllm_v2/zelk12/Test01012025155054/6d681a29-0d1a-4054-8250-5246993509f8.json
new file mode 100644
index 000000000..5d2d4db3f
--- /dev/null
+++ b/data/hfopenllm_v2/zelk12/Test01012025155054/6d681a29-0d1a-4054-8250-5246993509f8.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/zelk12_Test01012025155054/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Test01012025155054",
+    "id": "zelk12/Test01012025155054",
+    "developer": "zelk12",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Gemma2ForCausalLM",
+      "params_billions": 3.817
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
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+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
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+        "lower_is_better": false,
+        "score_type": "continuous",
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+    },
+    {
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+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.283
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
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+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2416
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.367
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
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+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/zelk12/Test01012025155054/e25f6fa3-238e-4bc3-b6ce-cdc2bc728d9c.json b/data/hfopenllm_v2/zelk12/Test01012025155054/e25f6fa3-238e-4bc3-b6ce-cdc2bc728d9c.json
deleted file mode 100644
index 5695d48aa..000000000
--- a/data/hfopenllm_v2/zelk12/Test01012025155054/e25f6fa3-238e-4bc3-b6ce-cdc2bc728d9c.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
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-  "evaluation_id": "hfopenllm_v2/zelk12_Test01012025155054/1762652580.6282592",
-  "retrieved_timestamp": "1762652580.6282601",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "zelk12/Test01012025155054",
-    "developer": "zelk12",
-    "inference_platform": "unknown",
-    "id": "zelk12/Test01012025155054",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Gemma2ForCausalLM",
-      "params_billions": 3.817
-    }
-  },
-  "evaluation_results": [
-    {
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new file mode 100644
index 000000000..e5cfc1c87
--- /dev/null
+++ b/data/hfopenllm_v2/zelk12/Test01012025155054t0.5_gemma-2/2a6af4ce-e45c-4721-a23c-03071a5e774f.json
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diff --git a/data/hfopenllm_v2/zelk12/gemma-2-S2MTM-9B/5ae5ddff-714d-4a20-b1d3-3eeb95fd858c.json b/data/hfopenllm_v2/zelk12/gemma-2-S2MTM-9B/5ae5ddff-714d-4a20-b1d3-3eeb95fd858c.json
new file mode 100644
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new file mode 100644
index 000000000..2e6a12b87
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/zelk12/recoilme-gemma-2-Ataraxy-9B-v0.1-t0.75/e1ddd882-f8a1-48d0-bb2a-878f43095895.json b/data/hfopenllm_v2/zelk12/recoilme-gemma-2-Ataraxy-9B-v0.1-t0.75/e1ddd882-f8a1-48d0-bb2a-878f43095895.json
new file mode 100644
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\ No newline at end of file
diff --git a/data/hfopenllm_v2/zelk12/recoilme-gemma-2-Ataraxy-9B-v0.1/d2c3edec-38d8-48e3-9f6d-e26a63442af8.json b/data/hfopenllm_v2/zelk12/recoilme-gemma-2-Ataraxy-9B-v0.1/d2c3edec-38d8-48e3-9f6d-e26a63442af8.json
new file mode 100644
index 000000000..eeaa69af5
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new file mode 100644
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new file mode 100644
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new file mode 100644
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+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.344
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4295
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4181
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/zetasepic/Qwen2.5-32B-Instruct-abliterated-v2/3d410f0f-6b24-4e86-a353-6142c51b1ecc.json b/data/hfopenllm_v2/zetasepic/Qwen2.5-32B-Instruct-abliterated-v2/3d410f0f-6b24-4e86-a353-6142c51b1ecc.json
new file mode 100644
index 000000000..165cc965d
--- /dev/null
+++ b/data/hfopenllm_v2/zetasepic/Qwen2.5-32B-Instruct-abliterated-v2/3d410f0f-6b24-4e86-a353-6142c51b1ecc.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/zetasepic_Qwen2.5-32B-Instruct-abliterated-v2/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-32B-Instruct-abliterated-v2",
+    "id": "zetasepic/Qwen2.5-32B-Instruct-abliterated-v2",
+    "developer": "zetasepic",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 32.764
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.8334
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6934
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5952
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3674
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4354
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5622
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/zetasepic/Qwen2.5-32B-Instruct-abliterated-v2/a5490bf2-6d11-4474-b6e5-07a79d30f431.json b/data/hfopenllm_v2/zetasepic/Qwen2.5-32B-Instruct-abliterated-v2/a5490bf2-6d11-4474-b6e5-07a79d30f431.json
deleted file mode 100644
index 48a3a7761..000000000
--- a/data/hfopenllm_v2/zetasepic/Qwen2.5-32B-Instruct-abliterated-v2/a5490bf2-6d11-4474-b6e5-07a79d30f431.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/zetasepic_Qwen2.5-32B-Instruct-abliterated-v2/1762652580.6318998",
-  "retrieved_timestamp": "1762652580.631902",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "zetasepic/Qwen2.5-32B-Instruct-abliterated-v2",
-    "developer": "zetasepic",
-    "inference_platform": "unknown",
-    "id": "zetasepic/Qwen2.5-32B-Instruct-abliterated-v2",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 32.764
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.8334131216283904
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.6934020817780425
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.595166163141994
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.3674496644295302
-      }
-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.43542708333333335
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5621675531914894
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/zetasepic/Qwen2.5-72B-Instruct-abliterated/46329fc3-974f-4d04-be9e-ba85b3816efc.json b/data/hfopenllm_v2/zetasepic/Qwen2.5-72B-Instruct-abliterated/46329fc3-974f-4d04-be9e-ba85b3816efc.json
new file mode 100644
index 000000000..5b3165605
--- /dev/null
+++ b/data/hfopenllm_v2/zetasepic/Qwen2.5-72B-Instruct-abliterated/46329fc3-974f-4d04-be9e-ba85b3816efc.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/zetasepic_Qwen2.5-72B-Instruct-abliterated/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "Qwen2.5-72B-Instruct-abliterated",
+    "id": "zetasepic/Qwen2.5-72B-Instruct-abliterated",
+    "developer": "zetasepic",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": 72.706
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7153
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7152
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5242
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4069
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4719
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5872
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/hfopenllm_v2/zetasepic/Qwen2.5-72B-Instruct-abliterated/78799fe1-5fbd-4023-9462-8d826dac41d5.json b/data/hfopenllm_v2/zetasepic/Qwen2.5-72B-Instruct-abliterated/78799fe1-5fbd-4023-9462-8d826dac41d5.json
deleted file mode 100644
index d6ed73c37..000000000
--- a/data/hfopenllm_v2/zetasepic/Qwen2.5-72B-Instruct-abliterated/78799fe1-5fbd-4023-9462-8d826dac41d5.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/zetasepic_Qwen2.5-72B-Instruct-abliterated/1762652580.632342",
-  "retrieved_timestamp": "1762652580.632343",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "zetasepic/Qwen2.5-72B-Instruct-abliterated",
-    "developer": "zetasepic",
-    "inference_platform": "unknown",
-    "id": "zetasepic/Qwen2.5-72B-Instruct-abliterated",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "Qwen2ForCausalLM",
-      "params_billions": 72.706
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7152610628687439
-      }
-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.7152257183282452
-      }
-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5241691842900302
-      }
-    },
-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.40687919463087246
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4719166666666667
-      }
-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.5871841755319149
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/zhengr/MixTAO-7Bx2-MoE-v8.1/35068575-06a3-4541-bdf3-120bd6db2867.json b/data/hfopenllm_v2/zhengr/MixTAO-7Bx2-MoE-v8.1/35068575-06a3-4541-bdf3-120bd6db2867.json
deleted file mode 100644
index 225520301..000000000
--- a/data/hfopenllm_v2/zhengr/MixTAO-7Bx2-MoE-v8.1/35068575-06a3-4541-bdf3-120bd6db2867.json
+++ /dev/null
@@ -1,105 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "hfopenllm_v2/zhengr_MixTAO-7Bx2-MoE-v8.1/1762652580.6327481",
-  "retrieved_timestamp": "1762652580.632749",
-  "source_data": [
-    "https://open-llm-leaderboard-open-llm-leaderboard.hf.space/api/leaderboard/formatted"
-  ],
-  "source_metadata": {
-    "source_organization_name": "Hugging Face",
-    "evaluator_relationship": "third_party",
-    "source_name": "HF Open LLM v2",
-    "source_type": "documentation"
-  },
-  "model_info": {
-    "name": "zhengr/MixTAO-7Bx2-MoE-v8.1",
-    "developer": "zhengr",
-    "inference_platform": "unknown",
-    "id": "zhengr/MixTAO-7Bx2-MoE-v8.1",
-    "additional_details": {
-      "precision": "bfloat16",
-      "architecture": "MixtralForCausalLM",
-      "params_billions": 12.879
-    }
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "IFEval",
-      "metric_config": {
-        "evaluation_description": "Accuracy on IFEval",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.4187810564856802
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-    },
-    {
-      "evaluation_name": "BBH",
-      "metric_config": {
-        "evaluation_description": "Accuracy on BBH",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.42019437560239653
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-    },
-    {
-      "evaluation_name": "MATH Level 5",
-      "metric_config": {
-        "evaluation_description": "Exact Match on MATH Level 5",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
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-      "score_details": {
-        "score": 0.06042296072507553
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-    {
-      "evaluation_name": "GPQA",
-      "metric_config": {
-        "evaluation_description": "Accuracy on GPQA",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
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-      },
-      "score_details": {
-        "score": 0.2986577181208054
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-    },
-    {
-      "evaluation_name": "MUSR",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MUSR",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.39762499999999995
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-    },
-    {
-      "evaluation_name": "MMLU-PRO",
-      "metric_config": {
-        "evaluation_description": "Accuracy on MMLU-PRO",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0,
-        "max_score": 1
-      },
-      "score_details": {
-        "score": 0.28465757978723405
-      }
-    }
-  ]
-}
diff --git a/data/hfopenllm_v2/zhengr/MixTAO-7Bx2-MoE-v8.1/b964d0a4-7c44-4ea2-894e-3e1ca30321e0.json b/data/hfopenllm_v2/zhengr/MixTAO-7Bx2-MoE-v8.1/b964d0a4-7c44-4ea2-894e-3e1ca30321e0.json
new file mode 100644
index 000000000..b0791265c
--- /dev/null
+++ b/data/hfopenllm_v2/zhengr/MixTAO-7Bx2-MoE-v8.1/b964d0a4-7c44-4ea2-894e-3e1ca30321e0.json
@@ -0,0 +1,132 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "hfopenllm_v2/zhengr_MixTAO-7Bx2-MoE-v8.1/1770682486.623709",
+  "retrieved_timestamp": "1770682486.623709",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "MixTAO-7Bx2-MoE-v8.1",
+    "id": "zhengr/MixTAO-7Bx2-MoE-v8.1",
+    "developer": "zhengr",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MixtralForCausalLM",
+      "params_billions": 12.879
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4188
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4202
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0604
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2987
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3976
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2847
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/mmlu/openai/gpt2/7b2767f8-9266-486e-8e49-6177930bc258.json b/data/mmlu/openai/gpt2/7b2767f8-9266-486e-8e49-6177930bc258.json
deleted file mode 100644
index 872c1b33c..000000000
--- a/data/mmlu/openai/gpt2/7b2767f8-9266-486e-8e49-6177930bc258.json
+++ /dev/null
@@ -1,2377 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "helm/openai/gpt2/mmlu/philosophy/1762354922",
-  "retrieved_timestamp": "1762354922",
-  "source_data": {
-    "dataset_name": "mmlu",
-    "samples_number": 10,
-    "sample_ids": [
-      "id147",
-      "id11",
-      "id65",
-      "id344",
-      "id59",
-      "id291",
-      "id131",
-      "id222",
-      "id259",
-      "id105"
-    ],
-    "additional_details": {
-      "scenario_name": "helm.benchmark.scenarios.mmlu_scenario.MMLUScenario",
-      "scenario_args": {
-        "subject": "philosophy"
-      }
-    }
-  },
-  "source_metadata": {
-    "source_name": "helm",
-    "source_type": "evaluation_run",
-    "source_organization_name": "Unknown",
-    "evaluator_relationship": "other"
-  },
-  "model_info": {
-    "name": "openai/gpt2",
-    "id": "openai/gpt2",
-    "developer": "openai",
-    "inference_platform": "huggingface"
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "multiple_choice_joint",
-      "evaluation_timestamp": "1762354922",
-      "metric_config": {
-        "evaluation_description": "exact_match",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0
-      },
-      "score_details": {
-        "score": 0.1111111111111111,
-        "details": {
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-          "sum": 0.1111111111111111,
-          "sum_squared": 0.012345679012345678,
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-          "mean": 0.1111111111111111,
-          "variance": 0.0,
-          "stddev": 0.0,
-          "split": "test",
-          "perturbation": null
-        }
-      },
-      "generation_config": {
-        "temperature": 0.0,
-        "max_tokens": 1,
-        "stop_sequences": [
-          "\n"
-        ],
-        "instructions": "The following are multiple choice questions (with answers) about philosophy.\n",
-        "input_prefix": "Question: ",
-        "input_suffix": "\n",
-        "output_prefix": "Answer: ",
-        "output_suffix": "\n",
-        "instance_prefix": "\n"
-      }
-    },
-    {
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-      "evaluation_timestamp": "1762354922",
-      "metric_config": {
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-        "lower_is_better": false,
-        "score_type": "continuous",
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-          "variance": 0.0,
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-          "split": "test",
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-        }
-      },
-      "generation_config": {
-        "temperature": 0.0,
-        "max_tokens": 1,
-        "stop_sequences": [
-          "\n"
-        ],
-        "instructions": "The following are multiple choice questions (with answers) about philosophy.\n",
-        "input_prefix": "Question: ",
-        "input_suffix": "\n",
-        "output_prefix": "Answer: ",
-        "output_suffix": "\n",
-        "instance_prefix": "\n"
-      }
-    },
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-      "evaluation_timestamp": "1762354922",
-      "metric_config": {
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-        "lower_is_better": false,
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-          "split": "valid",
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-        "max_tokens": 1,
-        "stop_sequences": [
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-        "instructions": "The following are multiple choice questions (with answers) about philosophy.\n",
-        "input_prefix": "Question: ",
-        "input_suffix": "\n",
-        "output_prefix": "Answer: ",
-        "output_suffix": "\n",
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-        "output_suffix": "\n",
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-      "generation_config": {
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-        "instructions": "The following are multiple choice questions (with answers) about philosophy.\n",
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-        "output_prefix": "Answer: ",
-        "output_suffix": "\n",
-        "instance_prefix": "\n"
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-      "generation_config": {
-        "temperature": 0.0,
-        "max_tokens": 1,
-        "stop_sequences": [
-          "\n"
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-        "instructions": "The following are multiple choice questions (with answers) about philosophy.\n",
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-        "input_suffix": "\n",
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-        "output_suffix": "\n",
-        "instance_prefix": "\n"
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-      "generation_config": {
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-        "stop_sequences": [
-          "\n"
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-        "instructions": "The following are multiple choice questions (with answers) about philosophy.\n",
-        "input_prefix": "Question: ",
-        "input_suffix": "\n",
-        "output_prefix": "Answer: ",
-        "output_suffix": "\n",
-        "instance_prefix": "\n"
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-      "generation_config": {
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-        "stop_sequences": [
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-        "instructions": "The following are multiple choice questions (with answers) about philosophy.\n",
-        "input_prefix": "Question: ",
-        "input_suffix": "\n",
-        "output_prefix": "Answer: ",
-        "output_suffix": "\n",
-        "instance_prefix": "\n"
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-      "generation_config": {
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-        "max_tokens": 1,
-        "stop_sequences": [
-          "\n"
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-        "instructions": "The following are multiple choice questions (with answers) about philosophy.\n",
-        "input_prefix": "Question: ",
-        "input_suffix": "\n",
-        "output_prefix": "Answer: ",
-        "output_suffix": "\n",
-        "instance_prefix": "\n"
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-      "generation_config": {
-        "temperature": 0.0,
-        "max_tokens": 1,
-        "stop_sequences": [
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-        "instructions": "The following are multiple choice questions (with answers) about philosophy.\n",
-        "input_prefix": "Question: ",
-        "input_suffix": "\n",
-        "output_prefix": "Answer: ",
-        "output_suffix": "\n",
-        "instance_prefix": "\n"
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-            "name": "fairness",
-            "robustness": false,
-            "fairness": true,
-            "computed_on": "worst",
-            "seed": null
-          }
-        }
-      },
-      "generation_config": {
-        "temperature": 0.0,
-        "max_tokens": 1,
-        "stop_sequences": [
-          "\n"
-        ],
-        "instructions": "The following are multiple choice questions (with answers) about philosophy.\n",
-        "input_prefix": "Question: ",
-        "input_suffix": "\n",
-        "output_prefix": "Answer: ",
-        "output_suffix": "\n",
-        "instance_prefix": "\n"
-      }
-    }
-  ],
-  "detailed_evaluation_results_per_samples": [
-    {
-      "sample_id": "id147",
-      "input": "What does the notion of “meaning in life” refer to?",
-      "prompt": "The following are multiple choice questions (with answers) about philosophy.\n\nQuestion: The study of reality in the broadest sense, an inquiry into the elemental nature of the universe and the things in it, is known as _____.\nA. metaphysics\nB. epistemology\nC. quantum physics\nD. axiology\nAnswer: A\n\nQuestion: According to Moore’s “ideal utilitarianism,” the right action is the one that brings about the greatest amount of:\nA. pleasure.\nB. happiness.\nC. good.\nD. virtue.\nAnswer: C\n\nQuestion: Psychological egoism is:\nA. an ethical theory about how we ought to behave.\nB. a generalization concerning the way people tend to behave.\nC. a claim about human nature and the ways people are capable of behaving.\nD. none of the above.\nAnswer: C\n\nQuestion: Before Tolstoy's Christian conversion, what was his perspective on the meaning of life?\nA. optimist\nB. satisfied\nC. nominally religious\nD. pessimist\nAnswer: D\n\nQuestion: According to d'Holbach, people always act according to _____.\nA. free choices\nB. dictates of the soul\nC. necessary natural laws\nD. undetermined will\nAnswer: C\n\nQuestion: What does the notion of “meaning in life” refer to?\nA. external meaning\nB. god's plan\nC. internalmeaning\nD. meaning in an afterlife\nAnswer:",
-      "ground_truth": [
-        "C"
-      ],
-      "response": "D",
-      "choices": [
-        [
-          "A",
-          "external meaning"
-        ],
-        [
-          "B",
-          "god's plan"
-        ],
-        [
-          "C",
-          "internalmeaning"
-        ],
-        [
-          "D",
-          "meaning in an afterlife"
-        ]
-      ]
-    },
-    {
-      "sample_id": "id11",
-      "input": "In Plato's idealism, the unchanging Ideas or \"Forms\" in terms of which sensible objects both exist and are known must transcend (that is, exist beyond) the changing realm of appearances; because if Forms changed, then:",
-      "prompt": "The following are multiple choice questions (with answers) about philosophy.\n\nQuestion: The study of reality in the broadest sense, an inquiry into the elemental nature of the universe and the things in it, is known as _____.\nA. metaphysics\nB. epistemology\nC. quantum physics\nD. axiology\nAnswer: A\n\nQuestion: According to Moore’s “ideal utilitarianism,” the right action is the one that brings about the greatest amount of:\nA. pleasure.\nB. happiness.\nC. good.\nD. virtue.\nAnswer: C\n\nQuestion: Psychological egoism is:\nA. an ethical theory about how we ought to behave.\nB. a generalization concerning the way people tend to behave.\nC. a claim about human nature and the ways people are capable of behaving.\nD. none of the above.\nAnswer: C\n\nQuestion: Before Tolstoy's Christian conversion, what was his perspective on the meaning of life?\nA. optimist\nB. satisfied\nC. nominally religious\nD. pessimist\nAnswer: D\n\nQuestion: According to d'Holbach, people always act according to _____.\nA. free choices\nB. dictates of the soul\nC. necessary natural laws\nD. undetermined will\nAnswer: C\n\nQuestion: In Plato's idealism, the unchanging Ideas or \"Forms\" in terms of which sensible objects both exist and are known must transcend (that is, exist beyond) the changing realm of appearances; because if Forms changed, then:\nA. the only things in the sensible world that we could ever experience would be concepts.\nB. the sensible realm (in contrast to the intelligible realm) would consist only of copies of real things.\nC. nothing in the experienced world could be or be identified as one determinate thing or another.\nD. the sensible world would consist of unchanging Forms.\nAnswer:",
-      "ground_truth": [
-        "C"
-      ],
-      "response": "D",
-      "choices": [
-        [
-          "A",
-          "the only things in the sensible world that we could ever experience would be concepts."
-        ],
-        [
-          "B",
-          "the sensible realm (in contrast to the intelligible realm) would consist only of copies of real things."
-        ],
-        [
-          "C",
-          "nothing in the experienced world could be or be identified as one determinate thing or another."
-        ],
-        [
-          "D",
-          "the sensible world would consist of unchanging Forms."
-        ]
-      ]
-    },
-    {
-      "sample_id": "id65",
-      "input": "Aristotle says  that what makes things be what they are--their essence--does not exist apart from individ-uals that exist in the world.  So if all the members of a species were destroyed, then their essence or form:",
-      "prompt": "The following are multiple choice questions (with answers) about philosophy.\n\nQuestion: The study of reality in the broadest sense, an inquiry into the elemental nature of the universe and the things in it, is known as _____.\nA. metaphysics\nB. epistemology\nC. quantum physics\nD. axiology\nAnswer: A\n\nQuestion: According to Moore’s “ideal utilitarianism,” the right action is the one that brings about the greatest amount of:\nA. pleasure.\nB. happiness.\nC. good.\nD. virtue.\nAnswer: C\n\nQuestion: Psychological egoism is:\nA. an ethical theory about how we ought to behave.\nB. a generalization concerning the way people tend to behave.\nC. a claim about human nature and the ways people are capable of behaving.\nD. none of the above.\nAnswer: C\n\nQuestion: Before Tolstoy's Christian conversion, what was his perspective on the meaning of life?\nA. optimist\nB. satisfied\nC. nominally religious\nD. pessimist\nAnswer: D\n\nQuestion: According to d'Holbach, people always act according to _____.\nA. free choices\nB. dictates of the soul\nC. necessary natural laws\nD. undetermined will\nAnswer: C\n\nQuestion: Aristotle says  that what makes things be what they are--their essence--does not exist apart from individ-uals that exist in the world.  So if all the members of a species were destroyed, then their essence or form:\nA. would likewise be destroyed.\nB. would be destroyed only if there were no one around to remember the species.\nC. would continue existing (as with Plato's Forms) in some other realm of being.\nD. would not be destroyed because there was no essence or form originally to be destroyed; there are only individuals, not universal essences or natures of things.\nAnswer:",
-      "ground_truth": [
-        "A"
-      ],
-      "response": "D",
-      "choices": [
-        [
-          "A",
-          "would likewise be destroyed."
-        ],
-        [
-          "B",
-          "would be destroyed only if there were no one around to remember the species."
-        ],
-        [
-          "C",
-          "would continue existing (as with Plato's Forms) in some other realm of being."
-        ],
-        [
-          "D",
-          "would not be destroyed because there was no essence or form originally to be destroyed; there are only individuals, not universal essences or natures of things."
-        ]
-      ]
-    },
-    {
-      "sample_id": "id344",
-      "input": "Aesthetic values have to do with _______",
-      "prompt": "The following are multiple choice questions (with answers) about philosophy.\n\nQuestion: The study of reality in the broadest sense, an inquiry into the elemental nature of the universe and the things in it, is known as _____.\nA. metaphysics\nB. epistemology\nC. quantum physics\nD. axiology\nAnswer: A\n\nQuestion: According to Moore’s “ideal utilitarianism,” the right action is the one that brings about the greatest amount of:\nA. pleasure.\nB. happiness.\nC. good.\nD. virtue.\nAnswer: C\n\nQuestion: Psychological egoism is:\nA. an ethical theory about how we ought to behave.\nB. a generalization concerning the way people tend to behave.\nC. a claim about human nature and the ways people are capable of behaving.\nD. none of the above.\nAnswer: C\n\nQuestion: Before Tolstoy's Christian conversion, what was his perspective on the meaning of life?\nA. optimist\nB. satisfied\nC. nominally religious\nD. pessimist\nAnswer: D\n\nQuestion: According to d'Holbach, people always act according to _____.\nA. free choices\nB. dictates of the soul\nC. necessary natural laws\nD. undetermined will\nAnswer: C\n\nQuestion: Aesthetic values have to do with _______\nA. the moral value of works of art and other objects that could be judged beautiful\nB. good and bad works of art and other objects that could be judged beautiful\nC. the moral values of artists and critics\nD. pragmatic decisions regarding the display of art\nAnswer:",
-      "ground_truth": [
-        "B"
-      ],
-      "response": "D",
-      "choices": [
-        [
-          "A",
-          "the moral value of works of art and other objects that could be judged beautiful"
-        ],
-        [
-          "B",
-          "good and bad works of art and other objects that could be judged beautiful"
-        ],
-        [
-          "C",
-          "the moral values of artists and critics"
-        ],
-        [
-          "D",
-          "pragmatic decisions regarding the display of art"
-        ]
-      ]
-    },
-    {
-      "sample_id": "id59",
-      "input": "According to Moore, we are thinking about good whenever we think about:",
-      "prompt": "The following are multiple choice questions (with answers) about philosophy.\n\nQuestion: The study of reality in the broadest sense, an inquiry into the elemental nature of the universe and the things in it, is known as _____.\nA. metaphysics\nB. epistemology\nC. quantum physics\nD. axiology\nAnswer: A\n\nQuestion: According to Moore’s “ideal utilitarianism,” the right action is the one that brings about the greatest amount of:\nA. pleasure.\nB. happiness.\nC. good.\nD. virtue.\nAnswer: C\n\nQuestion: Psychological egoism is:\nA. an ethical theory about how we ought to behave.\nB. a generalization concerning the way people tend to behave.\nC. a claim about human nature and the ways people are capable of behaving.\nD. none of the above.\nAnswer: C\n\nQuestion: Before Tolstoy's Christian conversion, what was his perspective on the meaning of life?\nA. optimist\nB. satisfied\nC. nominally religious\nD. pessimist\nAnswer: D\n\nQuestion: According to d'Holbach, people always act according to _____.\nA. free choices\nB. dictates of the soul\nC. necessary natural laws\nD. undetermined will\nAnswer: C\n\nQuestion: According to Moore, we are thinking about good whenever we think about:\nA. pleasure.\nB. things that we desire.\nC. intrinsic value.\nD. none of the above.\nAnswer:",
-      "ground_truth": [
-        "C"
-      ],
-      "response": "D",
-      "choices": [
-        [
-          "A",
-          "pleasure."
-        ],
-        [
-          "B",
-          "things that we desire."
-        ],
-        [
-          "C",
-          "intrinsic value."
-        ],
-        [
-          "D",
-          "none of the above."
-        ]
-      ]
-    },
-    {
-      "sample_id": "id291",
-      "input": "Craig argues that the series of events in time cannot be actually infinite, so we know that _____.",
-      "prompt": "The following are multiple choice questions (with answers) about philosophy.\n\nQuestion: The study of reality in the broadest sense, an inquiry into the elemental nature of the universe and the things in it, is known as _____.\nA. metaphysics\nB. epistemology\nC. quantum physics\nD. axiology\nAnswer: A\n\nQuestion: According to Moore’s “ideal utilitarianism,” the right action is the one that brings about the greatest amount of:\nA. pleasure.\nB. happiness.\nC. good.\nD. virtue.\nAnswer: C\n\nQuestion: Psychological egoism is:\nA. an ethical theory about how we ought to behave.\nB. a generalization concerning the way people tend to behave.\nC. a claim about human nature and the ways people are capable of behaving.\nD. none of the above.\nAnswer: C\n\nQuestion: Before Tolstoy's Christian conversion, what was his perspective on the meaning of life?\nA. optimist\nB. satisfied\nC. nominally religious\nD. pessimist\nAnswer: D\n\nQuestion: According to d'Holbach, people always act according to _____.\nA. free choices\nB. dictates of the soul\nC. necessary natural laws\nD. undetermined will\nAnswer: C\n\nQuestion: Craig argues that the series of events in time cannot be actually infinite, so we know that _____.\nA. the universe is finite in the past and began to exist\nB. the universe is infinite in the past\nC. the universe never is uncaused\nD. the universe exists only in the mind\nAnswer:",
-      "ground_truth": [
-        "A"
-      ],
-      "response": "D",
-      "choices": [
-        [
-          "A",
-          "the universe is finite in the past and began to exist"
-        ],
-        [
-          "B",
-          "the universe is infinite in the past"
-        ],
-        [
-          "C",
-          "the universe never is uncaused"
-        ],
-        [
-          "D",
-          "the universe exists only in the mind"
-        ]
-      ]
-    },
-    {
-      "sample_id": "id131",
-      "input": "Baier claims that ethical skepticism is often due to:",
-      "prompt": "The following are multiple choice questions (with answers) about philosophy.\n\nQuestion: The study of reality in the broadest sense, an inquiry into the elemental nature of the universe and the things in it, is known as _____.\nA. metaphysics\nB. epistemology\nC. quantum physics\nD. axiology\nAnswer: A\n\nQuestion: According to Moore’s “ideal utilitarianism,” the right action is the one that brings about the greatest amount of:\nA. pleasure.\nB. happiness.\nC. good.\nD. virtue.\nAnswer: C\n\nQuestion: Psychological egoism is:\nA. an ethical theory about how we ought to behave.\nB. a generalization concerning the way people tend to behave.\nC. a claim about human nature and the ways people are capable of behaving.\nD. none of the above.\nAnswer: C\n\nQuestion: Before Tolstoy's Christian conversion, what was his perspective on the meaning of life?\nA. optimist\nB. satisfied\nC. nominally religious\nD. pessimist\nAnswer: D\n\nQuestion: According to d'Holbach, people always act according to _____.\nA. free choices\nB. dictates of the soul\nC. necessary natural laws\nD. undetermined will\nAnswer: C\n\nQuestion: Baier claims that ethical skepticism is often due to:\nA. confused metaphysical theories.\nB. confused epistemological theories.\nC. confused religious views.\nD. confused scientific theories.\nAnswer:",
-      "ground_truth": [
-        "B"
-      ],
-      "response": "D",
-      "choices": [
-        [
-          "A",
-          "confused metaphysical theories."
-        ],
-        [
-          "B",
-          "confused epistemological theories."
-        ],
-        [
-          "C",
-          "confused religious views."
-        ],
-        [
-          "D",
-          "confused scientific theories."
-        ]
-      ]
-    },
-    {
-      "sample_id": "id222",
-      "input": "Mill says that the ultimate end of utilitarianism is an existence as free of pain as possible and as rich as possible in _____.",
-      "prompt": "The following are multiple choice questions (with answers) about philosophy.\n\nQuestion: The study of reality in the broadest sense, an inquiry into the elemental nature of the universe and the things in it, is known as _____.\nA. metaphysics\nB. epistemology\nC. quantum physics\nD. axiology\nAnswer: A\n\nQuestion: According to Moore’s “ideal utilitarianism,” the right action is the one that brings about the greatest amount of:\nA. pleasure.\nB. happiness.\nC. good.\nD. virtue.\nAnswer: C\n\nQuestion: Psychological egoism is:\nA. an ethical theory about how we ought to behave.\nB. a generalization concerning the way people tend to behave.\nC. a claim about human nature and the ways people are capable of behaving.\nD. none of the above.\nAnswer: C\n\nQuestion: Before Tolstoy's Christian conversion, what was his perspective on the meaning of life?\nA. optimist\nB. satisfied\nC. nominally religious\nD. pessimist\nAnswer: D\n\nQuestion: According to d'Holbach, people always act according to _____.\nA. free choices\nB. dictates of the soul\nC. necessary natural laws\nD. undetermined will\nAnswer: C\n\nQuestion: Mill says that the ultimate end of utilitarianism is an existence as free of pain as possible and as rich as possible in _____.\nA. lower pleasures\nB. spiritual attainment\nC. social achievement\nD. enjoyments\nAnswer:",
-      "ground_truth": [
-        "D"
-      ],
-      "response": "D",
-      "choices": [
-        [
-          "A",
-          "lower pleasures"
-        ],
-        [
-          "B",
-          "spiritual attainment"
-        ],
-        [
-          "C",
-          "social achievement"
-        ],
-        [
-          "D",
-          "enjoyments"
-        ]
-      ]
-    },
-    {
-      "sample_id": "id259",
-      "input": "Philo says the analogy that Cleanthes uses to make his case is _____.",
-      "prompt": "The following are multiple choice questions (with answers) about philosophy.\n\nQuestion: The study of reality in the broadest sense, an inquiry into the elemental nature of the universe and the things in it, is known as _____.\nA. metaphysics\nB. epistemology\nC. quantum physics\nD. axiology\nAnswer: A\n\nQuestion: According to Moore’s “ideal utilitarianism,” the right action is the one that brings about the greatest amount of:\nA. pleasure.\nB. happiness.\nC. good.\nD. virtue.\nAnswer: C\n\nQuestion: Psychological egoism is:\nA. an ethical theory about how we ought to behave.\nB. a generalization concerning the way people tend to behave.\nC. a claim about human nature and the ways people are capable of behaving.\nD. none of the above.\nAnswer: C\n\nQuestion: Before Tolstoy's Christian conversion, what was his perspective on the meaning of life?\nA. optimist\nB. satisfied\nC. nominally religious\nD. pessimist\nAnswer: D\n\nQuestion: According to d'Holbach, people always act according to _____.\nA. free choices\nB. dictates of the soul\nC. necessary natural laws\nD. undetermined will\nAnswer: C\n\nQuestion: Philo says the analogy that Cleanthes uses to make his case is _____.\nA. too complicated\nB. weak\nC. strong\nD. not based on a legitimate method of reasoning\nAnswer:",
-      "ground_truth": [
-        "B"
-      ],
-      "response": "D",
-      "choices": [
-        [
-          "A",
-          "too complicated"
-        ],
-        [
-          "B",
-          "weak"
-        ],
-        [
-          "C",
-          "strong"
-        ],
-        [
-          "D",
-          "not based on a legitimate method of reasoning"
-        ]
-      ]
-    },
-    {
-      "sample_id": "id105",
-      "input": "Baggini accuses pessimists of mixing up the two senses of _____.",
-      "prompt": "The following are multiple choice questions (with answers) about philosophy.\n\nQuestion: The study of reality in the broadest sense, an inquiry into the elemental nature of the universe and the things in it, is known as _____.\nA. metaphysics\nB. epistemology\nC. quantum physics\nD. axiology\nAnswer: A\n\nQuestion: According to Moore’s “ideal utilitarianism,” the right action is the one that brings about the greatest amount of:\nA. pleasure.\nB. happiness.\nC. good.\nD. virtue.\nAnswer: C\n\nQuestion: Psychological egoism is:\nA. an ethical theory about how we ought to behave.\nB. a generalization concerning the way people tend to behave.\nC. a claim about human nature and the ways people are capable of behaving.\nD. none of the above.\nAnswer: C\n\nQuestion: Before Tolstoy's Christian conversion, what was his perspective on the meaning of life?\nA. optimist\nB. satisfied\nC. nominally religious\nD. pessimist\nAnswer: D\n\nQuestion: According to d'Holbach, people always act according to _____.\nA. free choices\nB. dictates of the soul\nC. necessary natural laws\nD. undetermined will\nAnswer: C\n\nQuestion: Baggini accuses pessimists of mixing up the two senses of _____.\nA. philosophy\nB. religion\nC. meaning\nD. time\nAnswer:",
-      "ground_truth": [
-        "C"
-      ],
-      "response": "D",
-      "choices": [
-        [
-          "A",
-          "philosophy"
-        ],
-        [
-          "B",
-          "religion"
-        ],
-        [
-          "C",
-          "meaning"
-        ],
-        [
-          "D",
-          "time"
-        ]
-      ]
-    }
-  ]
-}
\ No newline at end of file
diff --git a/data/narrativeqa/openai/gpt2/96a7ea61-8869-4dd0-9164-756519a26ac0.json b/data/narrativeqa/openai/gpt2/96a7ea61-8869-4dd0-9164-756519a26ac0.json
deleted file mode 100644
index 1e6877a70..000000000
--- a/data/narrativeqa/openai/gpt2/96a7ea61-8869-4dd0-9164-756519a26ac0.json
+++ /dev/null
@@ -1,1634 +0,0 @@
-{
-  "schema_version": "0.1.0",
-  "evaluation_id": "helm/openai/gpt2/narrativeqa/1763479296",
-  "retrieved_timestamp": "1763479296",
-  "source_data": {
-    "dataset_name": "narrativeqa",
-    "samples_number": 5,
-    "sample_ids": [
-      "id1413",
-      "id1332",
-      "id1123",
-      "id1514",
-      "id1340"
-    ],
-    "additional_details": {
-      "scenario_name": "helm.benchmark.scenarios.narrativeqa_scenario.NarrativeQAScenario",
-      "scenario_args": {}
-    }
-  },
-  "source_metadata": {
-    "source_name": "helm",
-    "source_type": "evaluation_run",
-    "source_organization_name": "Unknown",
-    "evaluator_relationship": "other"
-  },
-  "model_info": {
-    "name": "openai/gpt2",
-    "id": "openai/gpt2",
-    "developer": "openai",
-    "inference_platform": "huggingface"
-  },
-  "evaluation_results": [
-    {
-      "evaluation_name": "generation",
-      "evaluation_timestamp": "1763479296",
-      "metric_config": {
-        "evaluation_description": "exact_match",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0
-      },
-      "score_details": {
-        "score": 0.0,
-        "details": {
-          "count": 1,
-          "sum": 0.0,
-          "sum_squared": 0.0,
-          "min": 0.0,
-          "max": 0.0,
-          "mean": 0.0,
-          "variance": 0.0,
-          "stddev": 0.0,
-          "split": "test",
-          "perturbation": null
-        }
-      },
-      "generation_config": {
-        "temperature": 0.0,
-        "max_tokens": 100,
-        "stop_sequences": [
-          "\n"
-        ],
-        "instructions": "",
-        "input_prefix": "Passage: ",
-        "input_suffix": "\n",
-        "output_prefix": "Answer: ",
-        "output_suffix": "\n",
-        "instance_prefix": "\n"
-      }
-    },
-    {
-      "evaluation_name": "generation",
-      "evaluation_timestamp": "1763479296",
-      "metric_config": {
-        "evaluation_description": "exact_match",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0
-      },
-      "score_details": {
-        "score": 0.0,
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-          "min": 0.0,
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-          "mean": 0.0,
-          "variance": 0.0,
-          "stddev": 0.0,
-          "split": "valid",
-          "perturbation": null
-        }
-      },
-      "generation_config": {
-        "temperature": 0.0,
-        "max_tokens": 100,
-        "stop_sequences": [
-          "\n"
-        ],
-        "instructions": "",
-        "input_prefix": "Passage: ",
-        "input_suffix": "\n",
-        "output_prefix": "Answer: ",
-        "output_suffix": "\n",
-        "instance_prefix": "\n"
-      }
-    },
-    {
-      "evaluation_name": "generation",
-      "evaluation_timestamp": "1763479296",
-      "metric_config": {
-        "evaluation_description": "exact_match",
-        "lower_is_better": false,
-        "score_type": "continuous",
-        "min_score": 0.0,
-        "max_score": 1.0
-      },
-      "score_details": {
-        "score": 0.0,
-        "details": {
-          "count": 1,
-          "sum": 0.0,
-          "sum_squared": 0.0,
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-          "max": 0.0,
-          "mean": 0.0,
-          "variance": 0.0,
-          "stddev": 0.0,
-          "split": "test",
-          "perturbation": {
-            "name": "robustness",
-            "robustness": true,
-            "fairness": false,
-            "computed_on": "worst",
-            "seed": null
-          }
-        }
-      },
-      "generation_config": {
-        "temperature": 0.0,
-        "max_tokens": 100,
-        "stop_sequences": [
-          "\n"
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-        "instructions": "",
-        "input_prefix": "Passage: ",
-        "input_suffix": "\n",
-        "output_prefix": "Answer: ",
-        "output_suffix": "\n",
-        "instance_prefix": "\n"
-      }
-    },
-    {
-      "evaluation_name": "generation",
-      "evaluation_timestamp": "1763479296",
-      "metric_config": {
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-      "sample_id": "id1413",
-      "input": "Olive Penderghast, a 17-year-old girl living in Ojai, California lies to her best friend Rhiannon Abernathy about going on a date in order to get out of camping with Rhiannon's hippie parents. Instead, she hangs around the house all weekend listening to Natasha Bedingfield's \"Pocketful of Sunshine\", which is played by a greeting card she was sent. The following Monday, pressed by Rhiannon, Olive lies about losing her virginity to a college guy. Marianne Bryant, a prissy and strictly religious Christian at their school, overhears her telling the lie and soon it spreads like wildfire. The school's conservative church group run by Marianne decides Olive will be their next project. Olive confides the truth to her friend Brandon, and he explains how others bully him because of his homosexuality. He later asks Olive to pretend to sleep with him so that he will be accepted by everyone as a 'straight stud'.\nBrandon convinces Olive to help him and they pretend to have sex at a party. After having a fight with Rhiannon over Olive's new identity as a \"dirty skank\", Olive decides to counteract the harassment by embracing her new image as the school tramp. She begins to wear more provocative clothing and stitches a red \"A\" to everything she wears. Boys who usually have had no luck with girls in the past beg Olive to say they have had sex with her in order to increase their own popularity, in exchange for gift cards to various stores, in turn increasing her reputation. Things get worse when Micah, Marianne's 22-year-old boyfriend, contracts chlamydia from sleeping with Mrs. Griffith, the school guidance counsellor, and blames it all on Olive. Olive agrees to lie to cover up the affair so that the marriage of her favorite teacher, Mr. Griffith, would be spared.\nMarianne's religious clique, which now includes Rhiannon, begins harassing Olive in order to get her to leave school. After an ill-fated date with Anson, a boy who wants to pay her to actually sleep with him and not just pretend she did, Olive reconnects with Todd, her old crush, who is also the school's mascot. Todd then tells her that he does not believe the rumors because he remembers when she lied for him when he was not ready for his first kiss years ago. Olive then begins to ask everyone she lied for to help her out by telling the truth, but Brandon and Micah have abruptly left town and everyone else is enjoying their newfound popularity and do not want the truth to get out. Mrs. Griffith also refuses to tell the truth and when Olive threatens to expose her, Mrs. Griffith rebuffs her, saying no one would believe her.\nOlive, out of spite, then immediately tells Mr. Griffith, who believes her and separates from Mrs. Griffith. After a friendly talk with her eccentric, open-minded mother Rosemary, Olive comes up with a plan to get everything finally out in the open. She then does a song and dance number at a school pep rally to get people's attention to watch her via web cam, where she confesses what she has done (the web cam is the framing device of the film). The various boys whose reputations Olive helped improve are also shown watching. Later, Olive texts Rhiannon, apologizing for lying to her. When she is finishing up her web cast, Todd comes by riding a lawnmower and tells her to come outside. She signs off by saying she may lose her virginity to Todd, and proudly declares it's nobody's business (much to Marianne's disgrace). She goes outside to meet him, they kiss and the two are shown riding off on the lawnmower.\nQuestion: Who is Todd besides Olive's old crush?",
-      "prompt": "Passage: Olive Penderghast, a 17-year-old girl living in Ojai, California lies to her best friend Rhiannon Abernathy about going on a date in order to get out of camping with Rhiannon's hippie parents. Instead, she hangs around the house all weekend listening to Natasha Bedingfield's \"Pocketful of Sunshine\", which is played by a greeting card she was sent. The following Monday, pressed by Rhiannon, Olive lies about losing her virginity to a college guy. Marianne Bryant, a prissy and strictly religious Christian at their school, overhears her telling the lie and soon it spreads like wildfire. The school's conservative church group run by Marianne decides Olive will be their next project. Olive confides the truth to her friend Brandon, and he explains how others bully him because of his homosexuality. He later asks Olive to pretend to sleep with him so that he will be accepted by everyone as a 'straight stud'.\nBrandon convinces Olive to help him and they pretend to have sex at a party. After having a fight with Rhiannon over Olive's new identity as a \"dirty skank\", Olive decides to counteract the harassment by embracing her new image as the school tramp. She begins to wear more provocative clothing and stitches a red \"A\" to everything she wears. Boys who usually have had no luck with girls in the past beg Olive to say they have had sex with her in order to increase their own popularity, in exchange for gift cards to various stores, in turn increasing her reputation. Things get worse when Micah, Marianne's 22-year-old boyfriend, contracts chlamydia from sleeping with Mrs. Griffith, the school guidance counsellor, and blames it all on Olive. Olive agrees to lie to cover up the affair so that the marriage of her favorite teacher, Mr. Griffith, would be spared.\nMarianne's religious clique, which now includes Rhiannon, begins harassing Olive in order to get her to leave school. After an ill-fated date with Anson, a boy who wants to pay her to actually sleep with him and not just pretend she did, Olive reconnects with Todd, her old crush, who is also the school's mascot. Todd then tells her that he does not believe the rumors because he remembers when she lied for him when he was not ready for his first kiss years ago. Olive then begins to ask everyone she lied for to help her out by telling the truth, but Brandon and Micah have abruptly left town and everyone else is enjoying their newfound popularity and do not want the truth to get out. Mrs. Griffith also refuses to tell the truth and when Olive threatens to expose her, Mrs. Griffith rebuffs her, saying no one would believe her.\nOlive, out of spite, then immediately tells Mr. Griffith, who believes her and separates from Mrs. Griffith. After a friendly talk with her eccentric, open-minded mother Rosemary, Olive comes up with a plan to get everything finally out in the open. She then does a song and dance number at a school pep rally to get people's attention to watch her via web cam, where she confesses what she has done (the web cam is the framing device of the film). The various boys whose reputations Olive helped improve are also shown watching. Later, Olive texts Rhiannon, apologizing for lying to her. When she is finishing up her web cast, Todd comes by riding a lawnmower and tells her to come outside. She signs off by saying she may lose her virginity to Todd, and proudly declares it's nobody's business (much to Marianne's disgrace). She goes outside to meet him, they kiss and the two are shown riding off on the lawnmower.\nQuestion: Who is Todd besides Olive's old crush?\nAnswer:",
-      "ground_truth": [
-        "The school Mascot",
-        "the schools mascot"
-      ],
-      "response": "Olive."
-    },
-    {
-      "sample_id": "id1332",
-      "input": "Indefer Jones is the aged squire, between seventy and eighty years of age, of a large manor, Llanfeare, in Carmarthen, Wales. His niece, Isabel Brodrick, has lived with him for years after the remarriage of her father, and endeared herself to everyone. However, according to his strong traditional beliefs, the estate should be bequeathed to a male heir.\nHis sole male blood relative is his nephew Henry Jones, a London clerk. Henry has, in the past, incurred debts that the squire had paid off, been \"sent away from Oxford\", and generally made a poor impression on his occasional visits to Llanfeare. Nevertheless, Henry is told of his uncle's intention to make him the heir to the estate and is invited to pay a visit. Isabel rejects her uncle's suggestion that she solve his dilemma by marrying Henry, as she cannot stand her cousin. Indefer Jones finds his nephew to be just as detestable as ever. As a result, he overcomes his prejudice and changes his will one final time, in Isabel's favour. Unfortunately, he dies before he can tell anyone.\nFinding the document hidden in a book of sermons by accident, Henry vacillates between keeping silent and revealing its location. He is neither good enough to give up the estate nor evil enough to burn the document, fearing disgrace, a long jail sentence and, not least, eternal damnation. Instead, he comforts himself by reasoning that doing nothing cannot be a crime.\nIndefer Jones had had his last will witnessed by two of his tenants, but since the will cannot be found despite a thorough search of the house, Henry inherits the estate. However, already extant suspicions are only strengthened by his guilty manner. He endures abuse from everyone; his own servants either quit or treat him with disrespect. He takes to spending hours in the library, where the will is hidden.\nThe local newspaper begins to publish accounts of the affair that are insulting and seemingly libelous to Henry. It accuses him of destroying the will and usurping the estate from Isabel, whom everybody knows and respects. The old squire's lawyer, Mr Apjohn, himself suspecting that Henry knows more than he lets on, approaches the new squire about the articles, pressuring the unwilling young man into taking legal action against the editor. Henry finds that this only makes things worse. The prospect of being cross examined in the witness box fills him with dread. He realises the truth would be dragged out of him in court.\nMr Apjohn, by clever questioning, gets a good idea about where the will is. Henry knows that time is running out, but once again procrastinates. Mr Apjohn and Mr Brodrick, Isabel's father, visit Henry at home and find the document, despite Henry's ineffectual efforts to stop them. Because he did not destroy the will, Henry is permitted to return to his job in London with his reputation intact and ÂŁ4000, the amount Isabel was bequeathed in the other will.\nQuestion: How is Isabel Brodrick related to Indefer Jones?",
-      "prompt": "Passage: Indefer Jones is the aged squire, between seventy and eighty years of age, of a large manor, Llanfeare, in Carmarthen, Wales. His niece, Isabel Brodrick, has lived with him for years after the remarriage of her father, and endeared herself to everyone. However, according to his strong traditional beliefs, the estate should be bequeathed to a male heir.\nHis sole male blood relative is his nephew Henry Jones, a London clerk. Henry has, in the past, incurred debts that the squire had paid off, been \"sent away from Oxford\", and generally made a poor impression on his occasional visits to Llanfeare. Nevertheless, Henry is told of his uncle's intention to make him the heir to the estate and is invited to pay a visit. Isabel rejects her uncle's suggestion that she solve his dilemma by marrying Henry, as she cannot stand her cousin. Indefer Jones finds his nephew to be just as detestable as ever. As a result, he overcomes his prejudice and changes his will one final time, in Isabel's favour. Unfortunately, he dies before he can tell anyone.\nFinding the document hidden in a book of sermons by accident, Henry vacillates between keeping silent and revealing its location. He is neither good enough to give up the estate nor evil enough to burn the document, fearing disgrace, a long jail sentence and, not least, eternal damnation. Instead, he comforts himself by reasoning that doing nothing cannot be a crime.\nIndefer Jones had had his last will witnessed by two of his tenants, but since the will cannot be found despite a thorough search of the house, Henry inherits the estate. However, already extant suspicions are only strengthened by his guilty manner. He endures abuse from everyone; his own servants either quit or treat him with disrespect. He takes to spending hours in the library, where the will is hidden.\nThe local newspaper begins to publish accounts of the affair that are insulting and seemingly libelous to Henry. It accuses him of destroying the will and usurping the estate from Isabel, whom everybody knows and respects. The old squire's lawyer, Mr Apjohn, himself suspecting that Henry knows more than he lets on, approaches the new squire about the articles, pressuring the unwilling young man into taking legal action against the editor. Henry finds that this only makes things worse. The prospect of being cross examined in the witness box fills him with dread. He realises the truth would be dragged out of him in court.\nMr Apjohn, by clever questioning, gets a good idea about where the will is. Henry knows that time is running out, but once again procrastinates. Mr Apjohn and Mr Brodrick, Isabel's father, visit Henry at home and find the document, despite Henry's ineffectual efforts to stop them. Because he did not destroy the will, Henry is permitted to return to his job in London with his reputation intact and ÂŁ4000, the amount Isabel was bequeathed in the other will.\nQuestion: How is Isabel Brodrick related to Indefer Jones?\nAnswer:",
-      "ground_truth": [
-        "She is his neice.",
-        "His niece."
-      ],
-      "response": "Isabel is a very good and intelligent woman. She is a very good and intelligent woman. She is a very good and intelligent woman. She is a very good and intelligent woman. She is a very good and intelligent woman."
-    },
-    {
-      "sample_id": "id1123",
-      "input": "The subject of Cratylus is the correctness of names (περὶ ὀνομάτων ὀρθότητος), in other words, it is a critique on the subject of naming (Baxter).\nWhen discussing a ὄνομα  (onoma ) and how it would relate to its subject, Socrates compares the original creation of a word to the work of an artist. An artist uses color to express the essence of his subject in a painting. In much the same way, the creator of words uses letters containing certain sounds to express the essence of a word's subject. There is a letter that is best for soft things, one for liquid things, and so on. He comments;\nthe best possible way to speak consists in using names all (or most) of which are like the things they name (that is, are appropriate to them), while the worst is to use the opposite kind of names.\nOne countering position, held by Hermogenes, is that names have come about due to custom and convention. They do not express the essence of their subject, so they can be swapped with something unrelated by the individuals or communities who use them.\nThe line between the two perspectives is often blurred. During more than half of the dialogue, Socrates makes guesses at Hermogenes' request as to where names and words have come from. These include the names of the Olympian gods, personified deities, and many words that describe abstract concepts. He examines whether, for example, giving names of \"streams\" to Cronus and Rhea (Ροή – flow or space) are purely accidental.\nDon't you think he who gave to the ancestors of the other gods the names “Rhea” and “Cronus” had the same thought as Heracleitus? Do you think he gave both of them the names of streams (ῥευμάτων ὀνόματα) merely by chance?\nThe Greek term \"ῥεῦμα\" may refer to the flow of any medium and is not restricted to the flow of water or liquids. Many of the words which Socrates uses as examples may have come from an idea originally linked to the name, but have changed over time. Those of which he cannot find a link, he often assumes have come from foreign origins or have changed so much as to lose all resemblance to the original word. He states, \"names have been so twisted in all manner of ways, that I should not be surprised if the old language when compared with that now in use would appear to us to be a barbarous tongue.\"\nThe final theory of relations between name and object named is posited by Cratylus, a disciple of Heraclitus, who believes that names arrive from divine origins, making them necessarily correct. Socrates rebukes this theory by reminding Cratylus of the imperfection of certain names in capturing the objects they seek to signify. From this point, Socrates ultimately rejects the study of language, believing it to be philosophically inferior to a study of things themselves.\nQuestion: What does the old language sound compared with the new language?",
-      "prompt": "Passage: The subject of Cratylus is the correctness of names (περὶ ὀνομάτων ὀρθότητος), in other words, it is a critique on the subject of naming (Baxter).\nWhen discussing a ὄνομα  (onoma ) and how it would relate to its subject, Socrates compares the original creation of a word to the work of an artist. An artist uses color to express the essence of his subject in a painting. In much the same way, the creator of words uses letters containing certain sounds to express the essence of a word's subject. There is a letter that is best for soft things, one for liquid things, and so on. He comments;\nthe best possible way to speak consists in using names all (or most) of which are like the things they name (that is, are appropriate to them), while the worst is to use the opposite kind of names.\nOne countering position, held by Hermogenes, is that names have come about due to custom and convention. They do not express the essence of their subject, so they can be swapped with something unrelated by the individuals or communities who use them.\nThe line between the two perspectives is often blurred. During more than half of the dialogue, Socrates makes guesses at Hermogenes' request as to where names and words have come from. These include the names of the Olympian gods, personified deities, and many words that describe abstract concepts. He examines whether, for example, giving names of \"streams\" to Cronus and Rhea (Ροή – flow or space) are purely accidental.\nDon't you think he who gave to the ancestors of the other gods the names “Rhea” and “Cronus” had the same thought as Heracleitus? Do you think he gave both of them the names of streams (ῥευμάτων ὀνόματα) merely by chance?\nThe Greek term \"ῥεῦμα\" may refer to the flow of any medium and is not restricted to the flow of water or liquids. Many of the words which Socrates uses as examples may have come from an idea originally linked to the name, but have changed over time. Those of which he cannot find a link, he often assumes have come from foreign origins or have changed so much as to lose all resemblance to the original word. He states, \"names have been so twisted in all manner of ways, that I should not be surprised if the old language when compared with that now in use would appear to us to be a barbarous tongue.\"\nThe final theory of relations between name and object named is posited by Cratylus, a disciple of Heraclitus, who believes that names arrive from divine origins, making them necessarily correct. Socrates rebukes this theory by reminding Cratylus of the imperfection of certain names in capturing the objects they seek to signify. From this point, Socrates ultimately rejects the study of language, believing it to be philosophically inferior to a study of things themselves.\nQuestion: What does the old language sound compared with the new language?\nAnswer:",
-      "ground_truth": [
-        "like a barbaric tongue.",
-        "barbarous tongue"
-      ],
-      "response": "The old language is a dialect of the Greek language, which is the language of the Greeks. The old language is a dialect of the Greek language, which is the language of the Greeks. The old language is a dialect of the Greek language, which is the language of the Greeks."
-    },
-    {
-      "sample_id": "id1514",
-      "input": "The novel begins in Manchester, where we are introduced to the Bartons and the Wilsons, two working-class families. John Barton is a questioner of the distribution of wealth and the relations between rich and poor. Soon his wife dies—he blames it on her grief over the disappearance of her sister Esther. Having already lost his son Tom at a young age, Barton is left to raise his daughter, Mary, alone and now falls into depression and begins to involve himself in the Chartist, trade-union movement.\nChapter 1 takes place in countryside where Moss Side is now.\nMary takes up work at a dressmaker's (her father having objected to her working in a factory) and becomes subject to the affections of hard-working Jem Wilson and Harry Carson, son of a wealthy mill owner. She fondly hopes, by marrying Carson, to secure a comfortable life for herself and her father, but immediately after refusing Jem's offer of marriage she realises that she truly loves him. She therefore decides to evade Carson, planning to show her feelings to Jem in the course of time. Jem believes her decision to be final, though this does not change his feelings for her.\nMeanwhile, Esther, a \"street-walker,\" returns to warn John Barton that he must save Mary from becoming like her. He simply pushes her away, however, and she's sent to jail for a month on the charge of vagrancy. Upon her release she talks to Jem with the same purpose. He promises that he will protect Mary and confronts Carson, eventually entering into a fight with him, which is witnessed by a policeman passing by.\nNot long afterwards, Carson is shot dead, and Jem is arrested for the crime, his gun having been found at the scene. Esther decides to investigate the matter further and discovers that the wadding for the gun was a piece of paper on which is written Mary's name.\nShe visits her niece to warn her to save the one she loves, and after she leaves Mary realises that the murderer is not Jem but her father. She is now faced with having to save her lover without giving away her father. With the help of Job Legh (the intelligent grandfather of her blind friend Margaret), Mary travels to Liverpool to find the only person who could provide an alibi for Jem – Will Wilson, Jem's cousin and a sailor, who was with him on the night of the murder. Unfortunately, Will's ship is already departing, so that, after Mary chases after the ship in a small boat, the only thing Will can do is promise to return in the pilot ship and testify the next day.\nDuring the trial, Jem learns of Mary's great love for him. Will arrives in court to testify, and Jem is found \"not guilty\". Mary has fallen ill during the trial and is nursed by Mr Sturgis, an old sailor, and his wife. When she finally returns to Manchester she has to face her father, who is crushed by his remorse. He summons John Carson, Harry's father, to confess to him that he is the murderer. Carson is still set on justice, but after turning to the Bible he forgives Barton, who dies soon afterwards in Carson's arms. Not long after this Esther comes back to Mary's home, where she, too, soon dies.\nJem decides to leave England, where, his reputation damaged, it would be difficult for him to find a new job. The novel ends with the wedded Mary and Jem, their little child, and Mrs Wilson living happily in Canada. News comes that Margaret has regained her sight and that she and Will, soon to be married, will visit.\nQuestion: Who actually killed Harry Carson?",
-      "prompt": "Passage: The novel begins in Manchester, where we are introduced to the Bartons and the Wilsons, two working-class families. John Barton is a questioner of the distribution of wealth and the relations between rich and poor. Soon his wife dies—he blames it on her grief over the disappearance of her sister Esther. Having already lost his son Tom at a young age, Barton is left to raise his daughter, Mary, alone and now falls into depression and begins to involve himself in the Chartist, trade-union movement.\nChapter 1 takes place in countryside where Moss Side is now.\nMary takes up work at a dressmaker's (her father having objected to her working in a factory) and becomes subject to the affections of hard-working Jem Wilson and Harry Carson, son of a wealthy mill owner. She fondly hopes, by marrying Carson, to secure a comfortable life for herself and her father, but immediately after refusing Jem's offer of marriage she realises that she truly loves him. She therefore decides to evade Carson, planning to show her feelings to Jem in the course of time. Jem believes her decision to be final, though this does not change his feelings for her.\nMeanwhile, Esther, a \"street-walker,\" returns to warn John Barton that he must save Mary from becoming like her. He simply pushes her away, however, and she's sent to jail for a month on the charge of vagrancy. Upon her release she talks to Jem with the same purpose. He promises that he will protect Mary and confronts Carson, eventually entering into a fight with him, which is witnessed by a policeman passing by.\nNot long afterwards, Carson is shot dead, and Jem is arrested for the crime, his gun having been found at the scene. Esther decides to investigate the matter further and discovers that the wadding for the gun was a piece of paper on which is written Mary's name.\nShe visits her niece to warn her to save the one she loves, and after she leaves Mary realises that the murderer is not Jem but her father. She is now faced with having to save her lover without giving away her father. With the help of Job Legh (the intelligent grandfather of her blind friend Margaret), Mary travels to Liverpool to find the only person who could provide an alibi for Jem – Will Wilson, Jem's cousin and a sailor, who was with him on the night of the murder. Unfortunately, Will's ship is already departing, so that, after Mary chases after the ship in a small boat, the only thing Will can do is promise to return in the pilot ship and testify the next day.\nDuring the trial, Jem learns of Mary's great love for him. Will arrives in court to testify, and Jem is found \"not guilty\". Mary has fallen ill during the trial and is nursed by Mr Sturgis, an old sailor, and his wife. When she finally returns to Manchester she has to face her father, who is crushed by his remorse. He summons John Carson, Harry's father, to confess to him that he is the murderer. Carson is still set on justice, but after turning to the Bible he forgives Barton, who dies soon afterwards in Carson's arms. Not long after this Esther comes back to Mary's home, where she, too, soon dies.\nJem decides to leave England, where, his reputation damaged, it would be difficult for him to find a new job. The novel ends with the wedded Mary and Jem, their little child, and Mrs Wilson living happily in Canada. News comes that Margaret has regained her sight and that she and Will, soon to be married, will visit.\nQuestion: Who actually killed Harry Carson?\nAnswer:",
-      "ground_truth": [
-        "John Barton",
-        "John Barton"
-      ],
-      "response": "The Wilsons."
-    },
-    {
-      "sample_id": "id1340",
-      "input": "Tarzan returns to Opar, the source of the gold where a lost colony of fabled Atlantis is located, in order to make good on some financial reverses he has recently suffered. While Atlantis itself sank beneath the waves thousands of years ago, the workers of Opar continued to mine all of the gold, which means there is a rather huge stockpile but which is now lost to the memory of the Oparians and only Tarzan knows its secret location.\nA greedy, outlawed Belgian army officer, Albert Werper, in the employ of a criminal Arab, secretly follows Tarzan to Opar. There, Tarzan loses his memory after being struck on the head by a falling rock in the treasure room during an earthquake. On encountering La, the high priestess who is the servant of the Flaming God of Opar, and who is also very beautiful, Tarzan once again rejects her love which enrages her and she tries to have him killed; she had fallen in love with the apeman during their first encounter and La and her high priests are not going to allow Tarzan to escape their sacrificial knives this time.\nIn the meanwhile, Jane has been kidnapped by the Arab and wonders what is keeping her husband from once again coming to her rescue. A now amnesiac Tarzan and the Werper escape from Opar, bearing away the sacrificial knife of Opar which La and some retainers set out to recover. There is intrigue and counter intrigue the rest of the way.\nQuestion: Who is La?",
-      "prompt": "Passage: The Little White Bird is a series of short episodes, including both accounts of the narrator's day-to-day activities in contemporary London and fanciful tales set in Kensington Gardens and elsewhere.The story is set in several locations; the earlier chapters are set in the town of London, contemporaneous to the time of Barrie's writing, and involving some time travel of a few years, and other fantasy elements, while remaining within the London setting. The middle chapters that later became Peter Pan in Kensington Gardens are set in London's famous Kensington Gardens, introduced by the statement that \"All perambulators lead to Kensington Gardens\". The Kensington Gardens chapters include detailed descriptions of the features of the Gardens, along with fantasy names given to the locations by the story's characters, especially after \"Lock-Out Time\", described by Barrie as the time at the end of the day when the park gates are closed to the public, and the fairies and other magical inhabitants of the park can move about more freely than during the daylight, when they must hide from ordinary people. The third section of the book, following the Kensington Gardens chapters, are again set generally in London, though there are some short returns to the Gardens that are not part of the Peter Pan stories. In a two-page diversion in chapter 24, Barrie brings the story to Patagonia, and a journey by ship returning to England at the \"white cliffs of Albion\".\nQuestion: Where  was the ship in Pentagonia returned to?\nAnswer: England\n\nPassage: Tarzan returns to Opar, the source of the gold where a lost colony of fabled Atlantis is located, in order to make good on some financial reverses he has recently suffered. While Atlantis itself sank beneath the waves thousands of years ago, the workers of Opar continued to mine all of the gold, which means there is a rather huge stockpile but which is now lost to the memory of the Oparians and only Tarzan knows its secret location.\nA greedy, outlawed Belgian army officer, Albert Werper, in the employ of a criminal Arab, secretly follows Tarzan to Opar. There, Tarzan loses his memory after being struck on the head by a falling rock in the treasure room during an earthquake. On encountering La, the high priestess who is the servant of the Flaming God of Opar, and who is also very beautiful, Tarzan once again rejects her love which enrages her and she tries to have him killed; she had fallen in love with the apeman during their first encounter and La and her high priests are not going to allow Tarzan to escape their sacrificial knives this time.\nIn the meanwhile, Jane has been kidnapped by the Arab and wonders what is keeping her husband from once again coming to her rescue. A now amnesiac Tarzan and the Werper escape from Opar, bearing away the sacrificial knife of Opar which La and some retainers set out to recover. There is intrigue and counter intrigue the rest of the way.\nQuestion: Who is La?\nAnswer:",
-      "ground_truth": [
-        "La is the high priestess that serves the Flaming God of Opar.",
-        "A high priestess."
-      ],
-      "response": "La is a young woman who is a member of the royal family of Opar. She is a member of the royal family of Opar, and is a member of the royal family of Opar. She is a member of the royal family of Opar, and is a member of the royal family of Opar. She is a member of the royal family of Opar, and is a member of the royal family of Opar. She is a member of the royal family of Opar"
-    }
-  ]
-}
\ No newline at end of file
diff --git a/scripts/global-mmlu-lite/__init__.py b/scripts/global-mmlu-lite/__init__.py
new file mode 100644
index 000000000..cfdf9af33
--- /dev/null
+++ b/scripts/global-mmlu-lite/__init__.py
@@ -0,0 +1 @@
+"""Global MMLU Lite adapter for EvalEval schema."""
diff --git a/scripts/global-mmlu-lite/adapter.py b/scripts/global-mmlu-lite/adapter.py
new file mode 100644
index 000000000..2e121f40d
--- /dev/null
+++ b/scripts/global-mmlu-lite/adapter.py
@@ -0,0 +1,211 @@
+"""
+Script to fetch Global MMLU Lite leaderboard results from Kaggle API
+and convert them to the EvalEval schema format.
+
+Data source:
+- Global MMLU Lite: Kaggle Benchmarks API (cohere-labs/global-mmlu-lite)
+
+Usage:
+    uv run python -m scripts.global-mmlu-lite.adapter
+"""
+
+import time
+from typing import List
+
+from eval_types import (
+    AdditionalPropertiesObject,
+    EvaluationLog,
+    EvaluationResult,
+    EvaluatorRelationship,
+    MetricConfig,
+    ScoreDetails,
+    ScoreType,
+    SourceDataUrl,
+)
+
+import sys
+from pathlib import Path
+sys.path.insert(0, str(Path(__file__).parent.parent))
+
+from utils import (
+    fetch_json,
+    get_developer,
+    make_source_metadata,
+    make_model_info,
+    save_evaluation_log,
+)
+
+
+# Data source URL
+KAGGLE_API_URL = "https://www.kaggle.com/api/v1/benchmarks/cohere-labs/global-mmlu-lite/leaderboard"
+
+OUTPUT_DIR = "data/global-mmlu-lite"
+
+# Hardcoded source data for global-mmlu-lite
+SOURCE_DATA = SourceDataUrl(
+    dataset_name="global-mmlu-lite",
+    source_type="url",
+    url=["https://www.kaggle.com/datasets/cohere-labs/global-mmlu-lite"],
+)
+
+
+def parse_score(value) -> float:
+    """Parse a score value, ensuring it's a float."""
+    if value is None:
+        return -1.0
+    try:
+        return float(value)
+    except (ValueError, TypeError):
+        return -1.0
+
+
+def make_eval_result(
+    name: str,
+    score: float,
+    description: str,
+    confidence_interval: float | None = None,
+    stddev: float | None = None,
+) -> EvaluationResult:
+    """Create an EvaluationResult with hardcoded source_data for global-mmlu-lite."""
+    details = None
+    if confidence_interval is not None or stddev is not None:
+        details = AdditionalPropertiesObject(
+            **{k: v for k, v in [("confidence_interval", confidence_interval), ("stddev", stddev)] if v is not None}
+        )
+    return EvaluationResult(
+        evaluation_name=name,
+        source_data=SOURCE_DATA,
+        metric_config=MetricConfig(
+            evaluation_description=description,
+            lower_is_better=False,
+            score_type=ScoreType.continuous,
+            min_score=0.0,
+            max_score=1.0,
+        ),
+        score_details=ScoreDetails(
+            score=round(score, 4) if score is not None else -1,
+            details=details,
+        ),
+    )
+
+
+def fetch_global_mmlu_lite(retrieved_timestamp: str) -> int:
+    """Fetch and process Global MMLU Lite results from Kaggle API."""
+    print("Fetching Global MMLU Lite leaderboard from Kaggle API...")
+
+    try:
+        data = fetch_json(KAGGLE_API_URL)
+    except Exception as e:
+        print(f"Error fetching data: {e}")
+        raise
+
+    # The API returns a dict with a 'rows' key containing the leaderboard entries
+    rows = data.get("rows", [])
+    count = 0
+
+    for row in rows:
+        # Extract model information - require slug
+        model_slug = row.get("modelVersionSlug")
+        if not model_slug:
+            raise ValueError(f"Missing modelVersionSlug in row: {row}")
+
+        model_name = model_slug
+        model_display_name = row.get("modelVersionName", "")
+
+        developer = get_developer(model_name)
+
+        # Create evaluation results from task results
+        eval_results: List[EvaluationResult] = []
+        task_results = row.get("taskResults", [])
+
+        for task in task_results:
+            task_name = task.get("benchmarkTaskName", "")
+            result_data = task.get("result", {})
+
+            # Extract score from the result
+            score_value = None
+            confidence_interval = None
+
+            if result_data.get("hasNumericResult"):
+                numeric_result = result_data.get("numericResult") or result_data.get("numericResultNullable", {})
+                score_value = numeric_result.get("value")
+
+                # Extract confidence interval if available
+                if numeric_result.get("hasConfidenceInterval"):
+                    confidence_interval = numeric_result.get("confidenceInterval")
+
+            if score_value is not None:
+                score = parse_score(score_value)
+                if score >= 0:
+                    eval_results.append(
+                        make_eval_result(
+                            name=task_name,
+                            score=score,
+                            description=f"Global MMLU Lite - {task_name}",
+                            confidence_interval=confidence_interval,
+                        )
+                    )
+
+        if not eval_results:
+            continue
+
+        # Build model info
+        model_info = make_model_info(
+            model_name=model_name,
+            developer=developer,
+            additional_details={"display_name": model_display_name} if model_display_name and model_display_name != model_name else None,
+        )
+
+        # Build evaluation log
+        evaluation_id = f"global-mmlu-lite/{model_info.id.replace('/', '_')}/{retrieved_timestamp}"
+        eval_log = EvaluationLog(
+            schema_version="0.2.0",
+            evaluation_id=evaluation_id,
+            retrieved_timestamp=retrieved_timestamp,
+            source_metadata=make_source_metadata(
+                source_name="Global MMLU Lite",
+                organization_name="Cohere Labs",
+                organization_url="https://cohere.com",
+                evaluator_relationship=EvaluatorRelationship.third_party,
+            ),
+            model_info=model_info,
+            evaluation_results=eval_results,
+        )
+
+        # Parse model path for saving: use slug for folder name (no spaces, like hfopenllm_v2)
+        if "/" in model_info.id:
+            dev, _ = model_info.id.split("/", 1)
+        else:
+            dev, _ = "unknown", model_info.id
+        model_for_path = model_slug if model_slug else model_info.id.split("/")[-1]
+
+        filepath = save_evaluation_log(eval_log, OUTPUT_DIR, dev, model_for_path)
+        print(f"Saved: {filepath}")
+        count += 1
+
+    return count
+
+
+def main():
+    """Main function to fetch and process Global MMLU Lite results."""
+    retrieved_timestamp = str(time.time())
+
+    print("=" * 60)
+    print("Fetching Global MMLU Lite results...")
+    print("=" * 60)
+
+    try:
+        count = fetch_global_mmlu_lite(retrieved_timestamp)
+        print(f"\nProcessed {count} models from Global MMLU Lite")
+    except Exception as e:
+        print(f"Error processing Global MMLU Lite: {e}")
+        import traceback
+        traceback.print_exc()
+
+    print("\n" + "=" * 60)
+    print("Done!")
+    print("=" * 60)
+
+
+if __name__ == "__main__":
+    main()
diff --git a/scripts/hfopenllm_v2/adapter.py b/scripts/hfopenllm_v2/adapter.py
index 8656768a6..98ccf56db 100644
--- a/scripts/hfopenllm_v2/adapter.py
+++ b/scripts/hfopenllm_v2/adapter.py
@@ -8,19 +8,26 @@
     uv run python -m scripts.hfopenllm_v2.adapter
 """
 
-import json
 import time
 from pathlib import Path
 from typing import Any, Dict, List
 
-from eval_types import EvaluationLog, EvaluationResult, EvaluatorRelationship
+from eval_types import (
+    EvaluationLog,
+    EvaluationResult,
+    EvaluatorRelationship,
+    MetricConfig,
+    ScoreDetails,
+    ScoreType,
+    SourceDataHf,
+)
 
 import sys
 sys.path.insert(0, str(Path(__file__).parent.parent))
 
 from utils import (
+    fetch_json,
     get_developer,
-    make_evaluation_result,
     make_model_info,
     make_source_metadata,
     save_evaluation_log,
@@ -41,6 +48,7 @@
     "mmlu_pro": "MMLU-PRO",
 }
 
+
 # Evaluation descriptions
 EVALUATION_DESCRIPTIONS = {
     "IFEval": "Accuracy on IFEval",
@@ -51,23 +59,69 @@
     "MMLU-PRO": "Accuracy on MMLU-PRO",
 }
 
+# Source data mapping: eval_key -> SourceDataHf
+SOURCE_DATA_MAPPING = {
+    "ifeval": SourceDataHf(
+        dataset_name="IFEval",
+        source_type="hf_dataset",
+        hf_repo="google/IFEval",
+    ),
+    "bbh": SourceDataHf(
+        dataset_name="BBH",
+        source_type="hf_dataset",
+        hf_repo="SaylorTwift/bbh",
+    ),
+    "math": SourceDataHf(
+        dataset_name="MATH Level 5",
+        source_type="hf_dataset",
+        hf_repo="DigitalLearningGmbH/MATH-lighteval",
+    ),
+    "gpqa": SourceDataHf(
+        dataset_name="GPQA",
+        source_type="hf_dataset",
+        hf_repo="Idavidrein/gpqa",
+    ),
+    "musr": SourceDataHf(
+        dataset_name="MUSR",
+        source_type="hf_dataset",
+        hf_repo="TAUR-Lab/MuSR",
+    ),
+    "mmlu_pro": SourceDataHf(
+        dataset_name="MMLU-PRO",
+        source_type="hf_dataset",
+        hf_repo="TIGER-Lab/MMLU-Pro",
+    ),
+}
+
 
 def convert_model(model_data: Dict[str, Any], retrieved_timestamp: str) -> EvaluationLog:
     """Convert a single model's data to EvaluationLog format."""
-    model_name = model_data["model"]["name"]
-    developer = get_developer(model_name)
+    model_id = model_data["model"]["name"]
+    if "/" not in model_id:
+        raise ValueError(f"Expected 'org/model' format, got: {model_id}")
+    developer, model_name = model_id.split("/", 1)
 
     # Build evaluation results
     eval_results: List[EvaluationResult] = []
     for eval_key, eval_data in model_data.get("evaluations", {}).items():
         display_name = eval_data.get("name", EVALUATION_MAPPING.get(eval_key, eval_key))
         description = EVALUATION_DESCRIPTIONS.get(display_name, f"Accuracy on {display_name}")
+        source_data = SOURCE_DATA_MAPPING.get(eval_key)
 
         eval_results.append(
-            make_evaluation_result(
-                name=display_name,
-                score=eval_data.get("value", 0.0),
-                description=description,
+            EvaluationResult(
+                evaluation_name=display_name,
+                source_data=source_data,
+                metric_config=MetricConfig(
+                    evaluation_description=description,
+                    lower_is_better=False,
+                    score_type=ScoreType.continuous,
+                    min_score=0.0,
+                    max_score=1.0,
+                ),
+                score_details=ScoreDetails(
+                    score=round(eval_data.get("value", 0.0), 4),
+                ),
             )
         )
 
@@ -89,13 +143,12 @@ def convert_model(model_data: Dict[str, Any], retrieved_timestamp: str) -> Evalu
     )
 
     # Build evaluation ID
-    evaluation_id = f"hfopenllm_v2/{model_name.replace('/', '_')}/{retrieved_timestamp}"
+    evaluation_id = f"hfopenllm_v2/{developer}_{model_name}/{retrieved_timestamp}"
 
     return EvaluationLog(
-        schema_version="0.1.0",
+        schema_version="0.2.0",
         evaluation_id=evaluation_id,
         retrieved_timestamp=retrieved_timestamp,
-        source_data=[SOURCE_URL],
         source_metadata=make_source_metadata(
             source_name="HF Open LLM v2",
             organization_name="Hugging Face",
@@ -113,14 +166,10 @@ def process_models(models_data: List[Dict[str, Any]], output_dir: str = OUTPUT_D
 
     for model_data in models_data:
         try:
-            model_name = model_data["model"]["name"]
-            developer = get_developer(model_name)
-
-            # Parse model name for directory structure
-            if "/" in model_name:
-                _, model = model_name.split("/", 1)
-            else:
-                model = model_name
+            model_id = model_data["model"]["name"]
+            if "/" not in model_id:
+                raise ValueError(f"Expected 'org/model' format, got: {model_id}")
+            developer, model = model_id.split("/", 1)
 
             # Convert to EvaluationLog
             eval_log = convert_model(model_data, retrieved_timestamp)
@@ -138,18 +187,8 @@ def process_models(models_data: List[Dict[str, Any]], output_dir: str = OUTPUT_D
 
 
 if __name__ == "__main__":
-    # Load data from local file (downloaded separately)
-    data_path = Path(__file__).parent / "formatted.json"
-
-    if not data_path.exists():
-        print(f"Error: {data_path} not found.")
-        print(f"Please download the data from: {SOURCE_URL}")
-        print(f"Save it as: {data_path}")
-        exit(1)
-
-    print(f"Loading data from {data_path}")
-    with open(data_path, "r") as f:
-        all_models = json.load(f)
+    print(f"Fetching data from {SOURCE_URL}...")
+    all_models = fetch_json(SOURCE_URL)
 
     print(f"Processing {len(all_models)} models...")
     count = process_models(all_models)
diff --git a/uv.lock b/uv.lock
index 548ffe78b..77be2f2dc 100644
--- a/uv.lock
+++ b/uv.lock
@@ -1,5 +1,4 @@
 version = 1
-revision = 1
 requires-python = ">=3.12"
 
 [[package]]
@@ -413,15 +412,6 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/ae/3a/dbeec9d1ee0844c679f6bb5d6ad4e9f198b1224f4e7a32825f47f6192b0c/cffi-2.0.0-cp314-cp314t-win_arm64.whl", hash = "sha256:0a1527a803f0a659de1af2e1fd700213caba79377e27e4693648c2923da066f9", size = 184195 },
 ]
 
-[[package]]
-name = "cfgv"
-version = "3.5.0"
-source = { registry = "https://pypi.org/simple" }
-sdist = { url = "https://files.pythonhosted.org/packages/4e/b5/721b8799b04bf9afe054a3899c6cf4e880fcf8563cc71c15610242490a0c/cfgv-3.5.0.tar.gz", hash = "sha256:d5b1034354820651caa73ede66a6294d6e95c1b00acc5e9b098e917404669132", size = 7334 }
-wheels = [
-    { url = "https://files.pythonhosted.org/packages/db/3c/33bac158f8ab7f89b2e59426d5fe2e4f63f7ed25df84c036890172b412b5/cfgv-3.5.0-py2.py3-none-any.whl", hash = "sha256:a8dc6b26ad22ff227d2634a65cb388215ce6cc96bbcc5cfde7641ae87e8dacc0", size = 7445 },
-]
-
 [[package]]
 name = "charset-normalizer"
 version = "3.4.4"
@@ -484,7 +474,7 @@ name = "click"
 version = "8.2.1"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
-    { name = "colorama", marker = "sys_platform == 'win32'" },
+    { name = "colorama", marker = "platform_system == 'Windows'" },
 ]
 sdist = { url = "https://files.pythonhosted.org/packages/60/6c/8ca2efa64cf75a977a0d7fac081354553ebe483345c734fb6b6515d96bbc/click-8.2.1.tar.gz", hash = "sha256:27c491cc05d968d271d5a1db13e3b5a184636d9d930f148c50b038f0d0646202", size = 286342 }
 wheels = [
@@ -578,10 +568,15 @@ dependencies = [
     { name = "cuda-pathfinder" },
 ]
 wheels = [
+    { url = "https://files.pythonhosted.org/packages/0c/c2/65bfd79292b8ff18be4dd7f7442cea37bcbc1a228c1886f1dea515c45b67/cuda_bindings-12.9.4-cp312-cp312-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:694ba35023846625ef471257e6b5a4bc8af690f961d197d77d34b1d1db393f56", size = 11760260 },
     { url = "https://files.pythonhosted.org/packages/a9/c1/dabe88f52c3e3760d861401bb994df08f672ec893b8f7592dc91626adcf3/cuda_bindings-12.9.4-cp312-cp312-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:fda147a344e8eaeca0c6ff113d2851ffca8f7dfc0a6c932374ee5c47caa649c8", size = 12151019 },
+    { url = "https://files.pythonhosted.org/packages/05/8b/b4b2d1c7775fa403b64333e720cfcfccef8dcb9cdeb99947061ca5a77628/cuda_bindings-12.9.4-cp313-cp313-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:cf8bfaedc238f3b115d957d1fd6562b7e8435ba57f6d0e2f87d0e7149ccb2da5", size = 11570071 },
     { url = "https://files.pythonhosted.org/packages/63/56/e465c31dc9111be3441a9ba7df1941fe98f4aa6e71e8788a3fb4534ce24d/cuda_bindings-12.9.4-cp313-cp313-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:32bdc5a76906be4c61eb98f546a6786c5773a881f3b166486449b5d141e4a39f", size = 11906628 },
+    { url = "https://files.pythonhosted.org/packages/ec/07/6aff13bc1e977e35aaa6b22f52b172e2890c608c6db22438cf7ed2bf43a6/cuda_bindings-12.9.4-cp313-cp313t-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:3adf4958dcf68ae7801a59b73fb00a8b37f8d0595060d66ceae111b1002de38d", size = 11566797 },
     { url = "https://files.pythonhosted.org/packages/a3/84/1e6be415e37478070aeeee5884c2022713c1ecc735e6d82d744de0252eee/cuda_bindings-12.9.4-cp313-cp313t-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:56e0043c457a99ac473ddc926fe0dc4046694d99caef633e92601ab52cbe17eb", size = 11925991 },
+    { url = "https://files.pythonhosted.org/packages/1e/b5/96a6696e20c4ffd2b327f54c7d0fde2259bdb998d045c25d5dedbbe30290/cuda_bindings-12.9.4-cp314-cp314-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:1f53a7f453d4b2643d8663d036bafe29b5ba89eb904c133180f295df6dc151e5", size = 11624530 },
     { url = "https://files.pythonhosted.org/packages/d1/af/6dfd8f2ed90b1d4719bc053ff8940e494640fe4212dc3dd72f383e4992da/cuda_bindings-12.9.4-cp314-cp314-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:8b72ee72a9cc1b531db31eebaaee5c69a8ec3500e32c6933f2d3b15297b53686", size = 11922703 },
+    { url = "https://files.pythonhosted.org/packages/39/73/d2fc40c043bac699c3880bf88d3cebe9d88410cd043795382826c93a89f0/cuda_bindings-12.9.4-cp314-cp314t-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:20f2699d61d724de3eb3f3369d57e2b245f93085cab44fd37c3bea036cea1a6f", size = 11565056 },
     { url = "https://files.pythonhosted.org/packages/6c/19/90ac264acc00f6df8a49378eedec9fd2db3061bf9263bf9f39fd3d8377c3/cuda_bindings-12.9.4-cp314-cp314t-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:d80bffc357df9988dca279734bc9674c3934a654cab10cadeed27ce17d8635ee", size = 11924658 },
 ]
 
@@ -724,15 +719,6 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/c9/7a/cef76fd8438a42f96db64ddaa85280485a9c395e7df3db8158cfec1eee34/dill-0.3.8-py3-none-any.whl", hash = "sha256:c36ca9ffb54365bdd2f8eb3eff7d2a21237f8452b57ace88b1ac615b7e815bd7", size = 116252 },
 ]
 
-[[package]]
-name = "distlib"
-version = "0.4.0"
-source = { registry = "https://pypi.org/simple" }
-sdist = { url = "https://files.pythonhosted.org/packages/96/8e/709914eb2b5749865801041647dc7f4e6d00b549cfe88b65ca192995f07c/distlib-0.4.0.tar.gz", hash = "sha256:feec40075be03a04501a973d81f633735b4b69f98b05450592310c0f401a4e0d", size = 614605 }
-wheels = [
-    { url = "https://files.pythonhosted.org/packages/33/6b/e0547afaf41bf2c42e52430072fa5658766e3d65bd4b03a563d1b6336f57/distlib-0.4.0-py2.py3-none-any.whl", hash = "sha256:9659f7d87e46584a30b5780e43ac7a2143098441670ff0a49d5f9034c54a6c16", size = 469047 },
-]
-
 [[package]]
 name = "docstring-parser"
 version = "0.17.0"
@@ -756,14 +742,6 @@ dependencies = [
     { name = "requests" },
 ]
 
-[package.dev-dependencies]
-dev = [
-    { name = "datamodel-code-generator" },
-    { name = "pre-commit" },
-    { name = "pytest" },
-    { name = "ruff" },
-]
-
 [package.metadata]
 requires-dist = [
     { name = "crfm-helm", specifier = ">=0.5.12" },
@@ -775,14 +753,6 @@ requires-dist = [
     { name = "requests", specifier = ">=2.32.5,<3.0.0" },
 ]
 
-[package.metadata.requires-dev]
-dev = [
-    { name = "datamodel-code-generator", specifier = ">=0.43.1" },
-    { name = "pre-commit", specifier = ">=4.3.0" },
-    { name = "pytest", specifier = ">=9.0.2" },
-    { name = "ruff", specifier = ">=0.12.2" },
-]
-
 [[package]]
 name = "filelock"
 version = "3.20.3"
@@ -998,15 +968,6 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/cb/bd/1a875e0d592d447cbc02805fd3fe0f497714d6a2583f59d14fa9ebad96eb/huggingface_hub-0.36.0-py3-none-any.whl", hash = "sha256:7bcc9ad17d5b3f07b57c78e79d527102d08313caa278a641993acddcb894548d", size = 566094 },
 ]
 
-[[package]]
-name = "identify"
-version = "2.6.15"
-source = { registry = "https://pypi.org/simple" }
-sdist = { url = "https://files.pythonhosted.org/packages/ff/e7/685de97986c916a6d93b3876139e00eef26ad5bbbd61925d670ae8013449/identify-2.6.15.tar.gz", hash = "sha256:e4f4864b96c6557ef2a1e1c951771838f4edc9df3a72ec7118b338801b11c7bf", size = 99311 }
-wheels = [
-    { url = "https://files.pythonhosted.org/packages/0f/1c/e5fd8f973d4f375adb21565739498e2e9a1e54c858a97b9a8ccfdc81da9b/identify-2.6.15-py2.py3-none-any.whl", hash = "sha256:1181ef7608e00704db228516541eb83a88a9f94433a8c80bb9b5bd54b1d81757", size = 99183 },
-]
-
 [[package]]
 name = "idna"
 version = "3.11"
@@ -1092,15 +1053,6 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/8a/eb/427ed2b20a38a4ee29f24dbe4ae2dafab198674fe9a85e3d6adf9e5f5f41/inflect-7.5.0-py3-none-any.whl", hash = "sha256:2aea70e5e70c35d8350b8097396ec155ffd68def678c7ff97f51aa69c1d92344", size = 35197 },
 ]
 
-[[package]]
-name = "iniconfig"
-version = "2.3.0"
-source = { registry = "https://pypi.org/simple" }
-sdist = { url = "https://files.pythonhosted.org/packages/72/34/14ca021ce8e5dfedc35312d08ba8bf51fdd999c576889fc2c24cb97f4f10/iniconfig-2.3.0.tar.gz", hash = "sha256:c76315c77db068650d49c5b56314774a7804df16fee4402c1f19d6d15d8c4730", size = 20503 }
-wheels = [
-    { url = "https://files.pythonhosted.org/packages/cb/b1/3846dd7f199d53cb17f49cba7e651e9ce294d8497c8c150530ed11865bb8/iniconfig-2.3.0-py3-none-any.whl", hash = "sha256:f631c04d2c48c52b84d0d0549c99ff3859c98df65b3101406327ecc7d53fbf12", size = 7484 },
-]
-
 [[package]]
 name = "inspect-ai"
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From 9e6d46157c035196c6d12c35a19e297339ec78ed Mon Sep 17 00:00:00 2001
From: SreeHarshaNelaturu <nelaturu.harsha@gmail.com>
Date: Tue, 10 Feb 2026 17:48:03 +0100
Subject: [PATCH 2/4] delete duplicates in livecodebenchpro, latest schema
 changes

---
 .../126326f3-6521-45d1-aa14-5c51335c1929.json |   28 +-
 .../b3f5937a-1489-417b-8162-6c62dea0703d.json |   28 +-
 .../f06d6c4c-b2c4-4c48-9702-f0bf08af62c4.json |   28 +-
 .../809a1503-a161-4532-afd3-fdbd6551eb63.json |   28 +-
 .../808ca8e4-9b14-48ba-bb39-e3b6a5672c80.json |   79 +
 .../be076445-eb88-49b0-a855-2e0cb1551bab.json |   28 +-
 .../69210faf-04a8-46d4-b92b-94f2ca521c09.json |   28 +-
 .../ed293aa1-f64e-429d-bddf-91a35a4203d1.json |   79 +
 .../2bddd388-5e9a-423e-8767-37d6f9f69032.json |   79 +
 .../bfd991ca-13e9-4716-b389-11e0d2afe286.json |   28 +-
 .../b29b7c8e-759e-45fe-a9d3-1054f19af617.json |   28 +-
 .../801d2dc6-17e7-47f1-a54f-87b94a59b508.json |   28 +-
 .../def0b2e3-cf5f-4dfd-8f1c-827f98d1626a.json |   28 +-
 .../157dd68b-fcc2-416f-a2c0-c9781020e6af.json |   28 +-
 .../174f0e23-84f1-43d0-bcdf-11b83c37025a.json |   28 +-
 .../bef7254b-549f-4e6b-b5c8-31b84dc6acda.json |   28 +-
 .../aa236b03-b81f-431b-b049-7101cea165f2.json |   28 +-
 .../abc37028-a362-4e02-8499-1bb7497e0293.json |   28 +-
 .../ba46ef91-d157-4984-b3df-ce33d8d97f8e.json |   28 +-
 .../e70acf51-30ef-4c20-b7cc-51704d114d70.json |   28 +-
 .../0e57aa1f-48c6-42b7-9aee-43a29d21b83f.json |   28 +-
 .../de66cc70-b456-4165-a827-5193dd77e84d.json |   79 +
 .../e9139c52-ada0-4d1c-ae82-7852aacdb6ea.json |   79 +
 .../1dd8c827-72af-4c8f-9ead-989de7105590.json |   28 +-
 .../ead39f61-b408-42b2-808f-8421a3200c89.json |   28 +-
 .../f96bdb35-4d61-4fde-8d91-edf55f13dc03.json |   28 +-
 .../5516f77c-932a-4eaa-ac31-dda9260ce82d.json |   79 +
 .../8992cef5-df7e-40a1-b099-331532c3deb0.json |   28 +-
 .../a77c08d6-a782-440c-b545-c60b6169712d.json |   28 +-
 scripts/global-mmlu-lite/adapter.py           |   10 +-
 scripts/livecodebenchpro/adapter.py           |   88 +
 uv.lock                                       | 4215 +++++++++--------
 32 files changed, 3237 insertions(+), 2194 deletions(-)
 create mode 100644 data/livecodebenchpro/aliyun/qwen3-next-80b-a3b-thinking/808ca8e4-9b14-48ba-bb39-e3b6a5672c80.json
 create mode 100644 data/livecodebenchpro/anthropic/claude-sonnet-4-5-20250929/ed293aa1-f64e-429d-bddf-91a35a4203d1.json
 create mode 100644 data/livecodebenchpro/ark/ep-20250603132404-cgpjm/2bddd388-5e9a-423e-8767-37d6f9f69032.json
 create mode 100644 data/livecodebenchpro/openai/gpt-5-2025-08-07/de66cc70-b456-4165-a827-5193dd77e84d.json
 create mode 100644 data/livecodebenchpro/openai/gpt-5.2-2025-12-11/e9139c52-ada0-4d1c-ae82-7852aacdb6ea.json
 create mode 100644 data/livecodebenchpro/openai/o4-mini-2025-04-16/5516f77c-932a-4eaa-ac31-dda9260ce82d.json
 create mode 100644 scripts/livecodebenchpro/adapter.py

diff --git a/data/livecodebenchpro/alibaba/qwen3-235b-a22b-thinking-2507/126326f3-6521-45d1-aa14-5c51335c1929.json b/data/livecodebenchpro/alibaba/qwen3-235b-a22b-thinking-2507/126326f3-6521-45d1-aa14-5c51335c1929.json
index 5a0ceeec2..f3d8ed859 100644
--- a/data/livecodebenchpro/alibaba/qwen3-235b-a22b-thinking-2507/126326f3-6521-45d1-aa14-5c51335c1929.json
+++ b/data/livecodebenchpro/alibaba/qwen3-235b-a22b-thinking-2507/126326f3-6521-45d1-aa14-5c51335c1929.json
@@ -1,5 +1,5 @@
 {
-  "schema_version": "0.1.0",
+  "schema_version": "0.2.0",
   "evaluation_id": "livecodebenchpro/qwen3-235b-a22b-thinking-2507/1760492095.8105888",
   "retrieved_timestamp": "1760492095.8105888",
   "source_metadata": {
@@ -26,6 +26,13 @@
       },
       "score_details": {
         "score": 0.0
+      },
+      "source_data": {
+        "dataset_name": "Hard Problems",
+        "source_type": "url",
+        "url": [
+          "https://webhook.cp-bench.orzzh.com/leaderboard/llm/difficulty?difficulty=hard&benchmark_mode=live"
+        ]
       }
     },
     {
@@ -39,6 +46,13 @@
       },
       "score_details": {
         "score": 0.1267605633802817
+      },
+      "source_data": {
+        "dataset_name": "Medium Problems",
+        "source_type": "url",
+        "url": [
+          "https://webhook.cp-bench.orzzh.com/leaderboard/llm/difficulty?difficulty=medium&benchmark_mode=live"
+        ]
       }
     },
     {
@@ -52,12 +66,14 @@
       },
       "score_details": {
         "score": 0.7605633802816901
+      },
+      "source_data": {
+        "dataset_name": "Easy Problems",
+        "source_type": "url",
+        "url": [
+          "https://webhook.cp-bench.orzzh.com/leaderboard/llm/difficulty?difficulty=easy&benchmark_mode=live"
+        ]
       }
     }
-  ],
-  "source_data": [
-    "https://webhook.cp-bench.orzzh.com/leaderboard/llm/difficulty?difficulty=hard&benchmark_mode=live",
-    "https://webhook.cp-bench.orzzh.com/leaderboard/llm/difficulty?difficulty=medium&benchmark_mode=live",
-    "https://webhook.cp-bench.orzzh.com/leaderboard/llm/difficulty?difficulty=easy&benchmark_mode=live"
   ]
 }
diff --git a/data/livecodebenchpro/alibaba/qwen3-30b-a3b/b3f5937a-1489-417b-8162-6c62dea0703d.json b/data/livecodebenchpro/alibaba/qwen3-30b-a3b/b3f5937a-1489-417b-8162-6c62dea0703d.json
index 3c599d83c..86221fbb2 100644
--- a/data/livecodebenchpro/alibaba/qwen3-30b-a3b/b3f5937a-1489-417b-8162-6c62dea0703d.json
+++ b/data/livecodebenchpro/alibaba/qwen3-30b-a3b/b3f5937a-1489-417b-8162-6c62dea0703d.json
@@ -1,5 +1,5 @@
 {
-  "schema_version": "0.1.0",
+  "schema_version": "0.2.0",
   "evaluation_id": "livecodebenchpro/qwen3-30b-a3b/1760492095.8105888",
   "retrieved_timestamp": "1760492095.8105888",
   "source_metadata": {
@@ -26,6 +26,13 @@
       },
       "score_details": {
         "score": 0.0
+      },
+      "source_data": {
+        "dataset_name": "Hard Problems",
+        "source_type": "url",
+        "url": [
+          "https://webhook.cp-bench.orzzh.com/leaderboard/llm/difficulty?difficulty=hard&benchmark_mode=live"
+        ]
       }
     },
     {
@@ -39,6 +46,13 @@
       },
       "score_details": {
         "score": 0.028169014084507043
+      },
+      "source_data": {
+        "dataset_name": "Medium Problems",
+        "source_type": "url",
+        "url": [
+          "https://webhook.cp-bench.orzzh.com/leaderboard/llm/difficulty?difficulty=medium&benchmark_mode=live"
+        ]
       }
     },
     {
@@ -52,12 +66,14 @@
       },
       "score_details": {
         "score": 0.5774647887323944
+      },
+      "source_data": {
+        "dataset_name": "Easy Problems",
+        "source_type": "url",
+        "url": [
+          "https://webhook.cp-bench.orzzh.com/leaderboard/llm/difficulty?difficulty=easy&benchmark_mode=live"
+        ]
       }
     }
-  ],
-  "source_data": [
-    "https://webhook.cp-bench.orzzh.com/leaderboard/llm/difficulty?difficulty=hard&benchmark_mode=live",
-    "https://webhook.cp-bench.orzzh.com/leaderboard/llm/difficulty?difficulty=medium&benchmark_mode=live",
-    "https://webhook.cp-bench.orzzh.com/leaderboard/llm/difficulty?difficulty=easy&benchmark_mode=live"
   ]
 }
diff --git a/data/livecodebenchpro/alibaba/qwen3-max/f06d6c4c-b2c4-4c48-9702-f0bf08af62c4.json b/data/livecodebenchpro/alibaba/qwen3-max/f06d6c4c-b2c4-4c48-9702-f0bf08af62c4.json
index 2b1425f7a..f517719a6 100644
--- a/data/livecodebenchpro/alibaba/qwen3-max/f06d6c4c-b2c4-4c48-9702-f0bf08af62c4.json
+++ b/data/livecodebenchpro/alibaba/qwen3-max/f06d6c4c-b2c4-4c48-9702-f0bf08af62c4.json
@@ -1,5 +1,5 @@
 {
-  "schema_version": "0.1.0",
+  "schema_version": "0.2.0",
   "evaluation_id": "livecodebenchpro/alibaba/qwen3-max/1760492095.8105888",
   "retrieved_timestamp": "1760492095.8105888",
   "source_metadata": {
@@ -26,6 +26,13 @@
       },
       "score_details": {
         "score": 0.0
+      },
+      "source_data": {
+        "dataset_name": "Hard Problems",
+        "source_type": "url",
+        "url": [
+          "https://webhook.cp-bench.orzzh.com/leaderboard/llm/difficulty?difficulty=hard&benchmark_mode=live"
+        ]
       }
     },
     {
@@ -39,6 +46,13 @@
       },
       "score_details": {
         "score": 0.04225352112676056
+      },
+      "source_data": {
+        "dataset_name": "Medium Problems",
+        "source_type": "url",
+        "url": [
+          "https://webhook.cp-bench.orzzh.com/leaderboard/llm/difficulty?difficulty=medium&benchmark_mode=live"
+        ]
       }
     },
     {
@@ -52,12 +66,14 @@
       },
       "score_details": {
         "score": 0.36619718309859156
+      },
+      "source_data": {
+        "dataset_name": "Easy Problems",
+        "source_type": "url",
+        "url": [
+          "https://webhook.cp-bench.orzzh.com/leaderboard/llm/difficulty?difficulty=easy&benchmark_mode=live"
+        ]
       }
     }
-  ],
-  "source_data": [
-    "https://webhook.cp-bench.orzzh.com/leaderboard/llm/difficulty?difficulty=hard&benchmark_mode=live",
-    "https://webhook.cp-bench.orzzh.com/leaderboard/llm/difficulty?difficulty=medium&benchmark_mode=live",
-    "https://webhook.cp-bench.orzzh.com/leaderboard/llm/difficulty?difficulty=easy&benchmark_mode=live"
   ]
 }
diff --git a/data/livecodebenchpro/alibaba/qwen3-next-80b-a3b-thinking/809a1503-a161-4532-afd3-fdbd6551eb63.json b/data/livecodebenchpro/alibaba/qwen3-next-80b-a3b-thinking/809a1503-a161-4532-afd3-fdbd6551eb63.json
index 7966b382b..3255f5bca 100644
--- a/data/livecodebenchpro/alibaba/qwen3-next-80b-a3b-thinking/809a1503-a161-4532-afd3-fdbd6551eb63.json
+++ b/data/livecodebenchpro/alibaba/qwen3-next-80b-a3b-thinking/809a1503-a161-4532-afd3-fdbd6551eb63.json
@@ -1,5 +1,5 @@
 {
-  "schema_version": "0.1.0",
+  "schema_version": "0.2.0",
   "evaluation_id": "livecodebenchpro/qwen3-next-80b-a3b-thinking/1760492095.8105888",
   "retrieved_timestamp": "1760492095.8105888",
   "source_metadata": {
@@ -26,6 +26,13 @@
       },
       "score_details": {
         "score": 0.0
+      },
+      "source_data": {
+        "dataset_name": "Hard Problems",
+        "source_type": "url",
+        "url": [
+          "https://webhook.cp-bench.orzzh.com/leaderboard/llm/difficulty?difficulty=hard&benchmark_mode=live"
+        ]
       }
     },
     {
@@ -39,6 +46,13 @@
       },
       "score_details": {
         "score": 0.14084507042253522
+      },
+      "source_data": {
+        "dataset_name": "Medium Problems",
+        "source_type": "url",
+        "url": [
+          "https://webhook.cp-bench.orzzh.com/leaderboard/llm/difficulty?difficulty=medium&benchmark_mode=live"
+        ]
       }
     },
     {
@@ -52,12 +66,14 @@
       },
       "score_details": {
         "score": 0.7464788732394366
+      },
+      "source_data": {
+        "dataset_name": "Easy Problems",
+        "source_type": "url",
+        "url": [
+          "https://webhook.cp-bench.orzzh.com/leaderboard/llm/difficulty?difficulty=easy&benchmark_mode=live"
+        ]
       }
     }
-  ],
-  "source_data": [
-    "https://webhook.cp-bench.orzzh.com/leaderboard/llm/difficulty?difficulty=hard&benchmark_mode=live",
-    "https://webhook.cp-bench.orzzh.com/leaderboard/llm/difficulty?difficulty=medium&benchmark_mode=live",
-    "https://webhook.cp-bench.orzzh.com/leaderboard/llm/difficulty?difficulty=easy&benchmark_mode=live"
   ]
 }
diff --git a/data/livecodebenchpro/aliyun/qwen3-next-80b-a3b-thinking/808ca8e4-9b14-48ba-bb39-e3b6a5672c80.json b/data/livecodebenchpro/aliyun/qwen3-next-80b-a3b-thinking/808ca8e4-9b14-48ba-bb39-e3b6a5672c80.json
new file mode 100644
index 000000000..78b03c308
--- /dev/null
+++ b/data/livecodebenchpro/aliyun/qwen3-next-80b-a3b-thinking/808ca8e4-9b14-48ba-bb39-e3b6a5672c80.json
@@ -0,0 +1,79 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "livecodebenchpro/qwen3-next-80b-a3b-thinking/1770683238.099205",
+  "retrieved_timestamp": "1770683238.099205",
+  "source_metadata": {
+    "source_name": "Live Code Bench Pro",
+    "source_type": "documentation",
+    "source_organization_name": "New York University, Princeton University, University of California San Diego, University of Washington and Canyon Crest Academy",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "qwen3-next-80b-a3b-thinking",
+    "id": "aliyun/qwen3-next-80b-a3b-thinking",
+    "developer": "aliyun",
+    "inference_platform": "aliyun"
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "Hard Problems",
+      "source_data": {
+        "dataset_name": "Hard Problems",
+        "source_type": "url",
+        "url": [
+          "https://webhook.cp-bench.orzzh.com/leaderboard/llm/difficulty?difficulty=hard&benchmark_mode=live"
+        ]
+      },
+      "metric_config": {
+        "evaluation_description": "Pass@1 on Hard Problems",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0
+      }
+    },
+    {
+      "evaluation_name": "Medium Problems",
+      "source_data": {
+        "dataset_name": "Medium Problems",
+        "source_type": "url",
+        "url": [
+          "https://webhook.cp-bench.orzzh.com/leaderboard/llm/difficulty?difficulty=medium&benchmark_mode=live"
+        ]
+      },
+      "metric_config": {
+        "evaluation_description": "Pass@1 on Medium Problems",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0704
+      }
+    },
+    {
+      "evaluation_name": "Easy Problems",
+      "source_data": {
+        "dataset_name": "Easy Problems",
+        "source_type": "url",
+        "url": [
+          "https://webhook.cp-bench.orzzh.com/leaderboard/llm/difficulty?difficulty=easy&benchmark_mode=live"
+        ]
+      },
+      "metric_config": {
+        "evaluation_description": "Pass@1 on Easy Problems",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6901
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/livecodebenchpro/anthropic/claude-3-7-sonnet-20250219/be076445-eb88-49b0-a855-2e0cb1551bab.json b/data/livecodebenchpro/anthropic/claude-3-7-sonnet-20250219/be076445-eb88-49b0-a855-2e0cb1551bab.json
index 4f2674b8c..6816347c8 100644
--- a/data/livecodebenchpro/anthropic/claude-3-7-sonnet-20250219/be076445-eb88-49b0-a855-2e0cb1551bab.json
+++ b/data/livecodebenchpro/anthropic/claude-3-7-sonnet-20250219/be076445-eb88-49b0-a855-2e0cb1551bab.json
@@ -1,5 +1,5 @@
 {
-  "schema_version": "0.1.0",
+  "schema_version": "0.2.0",
   "evaluation_id": "livecodebenchpro/claude-3-7-sonnet-20250219/1760492095.8105888",
   "retrieved_timestamp": "1760492095.8105888",
   "source_metadata": {
@@ -26,6 +26,13 @@
       },
       "score_details": {
         "score": 0.0
+      },
+      "source_data": {
+        "dataset_name": "Hard Problems",
+        "source_type": "url",
+        "url": [
+          "https://webhook.cp-bench.orzzh.com/leaderboard/llm/difficulty?difficulty=hard&benchmark_mode=live"
+        ]
       }
     },
     {
@@ -39,6 +46,13 @@
       },
       "score_details": {
         "score": 0.0
+      },
+      "source_data": {
+        "dataset_name": "Medium Problems",
+        "source_type": "url",
+        "url": [
+          "https://webhook.cp-bench.orzzh.com/leaderboard/llm/difficulty?difficulty=medium&benchmark_mode=live"
+        ]
       }
     },
     {
@@ -52,12 +66,14 @@
       },
       "score_details": {
         "score": 0.28169014084507044
+      },
+      "source_data": {
+        "dataset_name": "Easy Problems",
+        "source_type": "url",
+        "url": [
+          "https://webhook.cp-bench.orzzh.com/leaderboard/llm/difficulty?difficulty=easy&benchmark_mode=live"
+        ]
       }
     }
-  ],
-  "source_data": [
-    "https://webhook.cp-bench.orzzh.com/leaderboard/llm/difficulty?difficulty=hard&benchmark_mode=live",
-    "https://webhook.cp-bench.orzzh.com/leaderboard/llm/difficulty?difficulty=medium&benchmark_mode=live",
-    "https://webhook.cp-bench.orzzh.com/leaderboard/llm/difficulty?difficulty=easy&benchmark_mode=live"
   ]
 }
diff --git a/data/livecodebenchpro/anthropic/claude-3.7-sonnet/69210faf-04a8-46d4-b92b-94f2ca521c09.json b/data/livecodebenchpro/anthropic/claude-3.7-sonnet/69210faf-04a8-46d4-b92b-94f2ca521c09.json
index 7a2761278..586366674 100644
--- a/data/livecodebenchpro/anthropic/claude-3.7-sonnet/69210faf-04a8-46d4-b92b-94f2ca521c09.json
+++ b/data/livecodebenchpro/anthropic/claude-3.7-sonnet/69210faf-04a8-46d4-b92b-94f2ca521c09.json
@@ -1,5 +1,5 @@
 {
-  "schema_version": "0.1.0",
+  "schema_version": "0.2.0",
   "evaluation_id": "livecodebenchpro/anthropic/claude-3.7-sonnet/1760492095.8105888",
   "retrieved_timestamp": "1760492095.8105888",
   "source_metadata": {
@@ -26,6 +26,13 @@
       },
       "score_details": {
         "score": 0.0
+      },
+      "source_data": {
+        "dataset_name": "Hard Problems",
+        "source_type": "url",
+        "url": [
+          "https://webhook.cp-bench.orzzh.com/leaderboard/llm/difficulty?difficulty=hard&benchmark_mode=live"
+        ]
       }
     },
     {
@@ -39,6 +46,13 @@
       },
       "score_details": {
         "score": 0.014084507042253521
+      },
+      "source_data": {
+        "dataset_name": "Medium Problems",
+        "source_type": "url",
+        "url": [
+          "https://webhook.cp-bench.orzzh.com/leaderboard/llm/difficulty?difficulty=medium&benchmark_mode=live"
+        ]
       }
     },
     {
@@ -52,12 +66,14 @@
       },
       "score_details": {
         "score": 0.15492957746478872
+      },
+      "source_data": {
+        "dataset_name": "Easy Problems",
+        "source_type": "url",
+        "url": [
+          "https://webhook.cp-bench.orzzh.com/leaderboard/llm/difficulty?difficulty=easy&benchmark_mode=live"
+        ]
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-  ],
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-    "https://webhook.cp-bench.orzzh.com/leaderboard/llm/difficulty?difficulty=hard&benchmark_mode=live",
-    "https://webhook.cp-bench.orzzh.com/leaderboard/llm/difficulty?difficulty=medium&benchmark_mode=live",
-    "https://webhook.cp-bench.orzzh.com/leaderboard/llm/difficulty?difficulty=easy&benchmark_mode=live"
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 }
diff --git a/data/livecodebenchpro/anthropic/claude-sonnet-4-5-20250929/ed293aa1-f64e-429d-bddf-91a35a4203d1.json b/data/livecodebenchpro/anthropic/claude-sonnet-4-5-20250929/ed293aa1-f64e-429d-bddf-91a35a4203d1.json
new file mode 100644
index 000000000..304dcadde
--- /dev/null
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@@ -0,0 +1,79 @@
+{
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+  "evaluation_id": "livecodebenchpro/claude-sonnet-4-5-20250929/1770683238.099205",
+  "retrieved_timestamp": "1770683238.099205",
+  "source_metadata": {
+    "source_name": "Live Code Bench Pro",
+    "source_type": "documentation",
+    "source_organization_name": "New York University, Princeton University, University of California San Diego, University of Washington and Canyon Crest Academy",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "claude-sonnet-4-5-20250929",
+    "id": "anthropic/claude-sonnet-4-5-20250929",
+    "developer": "anthropic",
+    "inference_platform": "anthropic"
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "Hard Problems",
+      "source_data": {
+        "dataset_name": "Hard Problems",
+        "source_type": "url",
+        "url": [
+          "https://webhook.cp-bench.orzzh.com/leaderboard/llm/difficulty?difficulty=hard&benchmark_mode=live"
+        ]
+      },
+      "metric_config": {
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+        "score_type": "continuous",
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+    },
+    {
+      "evaluation_name": "Medium Problems",
+      "source_data": {
+        "dataset_name": "Medium Problems",
+        "source_type": "url",
+        "url": [
+          "https://webhook.cp-bench.orzzh.com/leaderboard/llm/difficulty?difficulty=medium&benchmark_mode=live"
+        ]
+      },
+      "metric_config": {
+        "evaluation_description": "Pass@1 on Medium Problems",
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+    {
+      "evaluation_name": "Easy Problems",
+      "source_data": {
+        "dataset_name": "Easy Problems",
+        "source_type": "url",
+        "url": [
+          "https://webhook.cp-bench.orzzh.com/leaderboard/llm/difficulty?difficulty=easy&benchmark_mode=live"
+        ]
+      },
+      "metric_config": {
+        "evaluation_description": "Pass@1 on Easy Problems",
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+        "score_type": "continuous",
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+      },
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+  ]
+}
\ No newline at end of file
diff --git a/data/livecodebenchpro/ark/ep-20250603132404-cgpjm/2bddd388-5e9a-423e-8767-37d6f9f69032.json b/data/livecodebenchpro/ark/ep-20250603132404-cgpjm/2bddd388-5e9a-423e-8767-37d6f9f69032.json
new file mode 100644
index 000000000..5c18e44af
--- /dev/null
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@@ -0,0 +1,79 @@
+{
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+  "retrieved_timestamp": "1770683238.099205",
+  "source_metadata": {
+    "source_name": "Live Code Bench Pro",
+    "source_type": "documentation",
+    "source_organization_name": "New York University, Princeton University, University of California San Diego, University of Washington and Canyon Crest Academy",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "ep-20250603132404-cgpjm",
+    "id": "ark/ep-20250603132404-cgpjm",
+    "developer": "ark",
+    "inference_platform": "ark"
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "Hard Problems",
+      "source_data": {
+        "dataset_name": "Hard Problems",
+        "source_type": "url",
+        "url": [
+          "https://webhook.cp-bench.orzzh.com/leaderboard/llm/difficulty?difficulty=hard&benchmark_mode=live"
+        ]
+      },
+      "metric_config": {
+        "evaluation_description": "Pass@1 on Hard Problems",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0
+      }
+    },
+    {
+      "evaluation_name": "Medium Problems",
+      "source_data": {
+        "dataset_name": "Medium Problems",
+        "source_type": "url",
+        "url": [
+          "https://webhook.cp-bench.orzzh.com/leaderboard/llm/difficulty?difficulty=medium&benchmark_mode=live"
+        ]
+      },
+      "metric_config": {
+        "evaluation_description": "Pass@1 on Medium Problems",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0141
+      }
+    },
+    {
+      "evaluation_name": "Easy Problems",
+      "source_data": {
+        "dataset_name": "Easy Problems",
+        "source_type": "url",
+        "url": [
+          "https://webhook.cp-bench.orzzh.com/leaderboard/llm/difficulty?difficulty=easy&benchmark_mode=live"
+        ]
+      },
+      "metric_config": {
+        "evaluation_description": "Pass@1 on Easy Problems",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.507
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/livecodebenchpro/bytedance/doubao-seed-1-6-thinking-250615/bfd991ca-13e9-4716-b389-11e0d2afe286.json b/data/livecodebenchpro/bytedance/doubao-seed-1-6-thinking-250615/bfd991ca-13e9-4716-b389-11e0d2afe286.json
index d6f18e74a..14a043adb 100644
--- a/data/livecodebenchpro/bytedance/doubao-seed-1-6-thinking-250615/bfd991ca-13e9-4716-b389-11e0d2afe286.json
+++ b/data/livecodebenchpro/bytedance/doubao-seed-1-6-thinking-250615/bfd991ca-13e9-4716-b389-11e0d2afe286.json
@@ -1,5 +1,5 @@
 {
-  "schema_version": "0.1.0",
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   "retrieved_timestamp": "1760492095.8105888",
   "source_metadata": {
@@ -26,6 +26,13 @@
       },
       "score_details": {
         "score": 0.0
+      },
+      "source_data": {
+        "dataset_name": "Hard Problems",
+        "source_type": "url",
+        "url": [
+          "https://webhook.cp-bench.orzzh.com/leaderboard/llm/difficulty?difficulty=hard&benchmark_mode=live"
+        ]
       }
     },
     {
@@ -39,6 +46,13 @@
       },
       "score_details": {
         "score": 0.07042253521126761
+      },
+      "source_data": {
+        "dataset_name": "Medium Problems",
+        "source_type": "url",
+        "url": [
+          "https://webhook.cp-bench.orzzh.com/leaderboard/llm/difficulty?difficulty=medium&benchmark_mode=live"
+        ]
       }
     },
     {
@@ -52,12 +66,14 @@
       },
       "score_details": {
         "score": 0.5774647887323944
+      },
+      "source_data": {
+        "dataset_name": "Easy Problems",
+        "source_type": "url",
+        "url": [
+          "https://webhook.cp-bench.orzzh.com/leaderboard/llm/difficulty?difficulty=easy&benchmark_mode=live"
+        ]
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-  ],
-  "source_data": [
-    "https://webhook.cp-bench.orzzh.com/leaderboard/llm/difficulty?difficulty=hard&benchmark_mode=live",
-    "https://webhook.cp-bench.orzzh.com/leaderboard/llm/difficulty?difficulty=medium&benchmark_mode=live",
-    "https://webhook.cp-bench.orzzh.com/leaderboard/llm/difficulty?difficulty=easy&benchmark_mode=live"
   ]
 }
diff --git a/data/livecodebenchpro/deepseek/chat-v3-0324/b29b7c8e-759e-45fe-a9d3-1054f19af617.json b/data/livecodebenchpro/deepseek/chat-v3-0324/b29b7c8e-759e-45fe-a9d3-1054f19af617.json
index db300d0f6..88ca0a5d0 100644
--- a/data/livecodebenchpro/deepseek/chat-v3-0324/b29b7c8e-759e-45fe-a9d3-1054f19af617.json
+++ b/data/livecodebenchpro/deepseek/chat-v3-0324/b29b7c8e-759e-45fe-a9d3-1054f19af617.json
@@ -1,5 +1,5 @@
 {
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   "retrieved_timestamp": "1760492095.8105888",
   "source_metadata": {
@@ -26,6 +26,13 @@
       },
       "score_details": {
         "score": 0.0
+      },
+      "source_data": {
+        "dataset_name": "Hard Problems",
+        "source_type": "url",
+        "url": [
+          "https://webhook.cp-bench.orzzh.com/leaderboard/llm/difficulty?difficulty=hard&benchmark_mode=live"
+        ]
       }
     },
     {
@@ -39,6 +46,13 @@
       },
       "score_details": {
         "score": 0.0
+      },
+      "source_data": {
+        "dataset_name": "Medium Problems",
+        "source_type": "url",
+        "url": [
+          "https://webhook.cp-bench.orzzh.com/leaderboard/llm/difficulty?difficulty=medium&benchmark_mode=live"
+        ]
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     },
     {
@@ -52,12 +66,14 @@
       },
       "score_details": {
         "score": 0.19718309859154928
+      },
+      "source_data": {
+        "dataset_name": "Easy Problems",
+        "source_type": "url",
+        "url": [
+          "https://webhook.cp-bench.orzzh.com/leaderboard/llm/difficulty?difficulty=easy&benchmark_mode=live"
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-    "https://webhook.cp-bench.orzzh.com/leaderboard/llm/difficulty?difficulty=medium&benchmark_mode=live",
-    "https://webhook.cp-bench.orzzh.com/leaderboard/llm/difficulty?difficulty=easy&benchmark_mode=live"
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 }
diff --git a/data/livecodebenchpro/deepseek/ep-20250214004308-p7n89/801d2dc6-17e7-47f1-a54f-87b94a59b508.json b/data/livecodebenchpro/deepseek/ep-20250214004308-p7n89/801d2dc6-17e7-47f1-a54f-87b94a59b508.json
index 5c21d1375..078e0a459 100644
--- a/data/livecodebenchpro/deepseek/ep-20250214004308-p7n89/801d2dc6-17e7-47f1-a54f-87b94a59b508.json
+++ b/data/livecodebenchpro/deepseek/ep-20250214004308-p7n89/801d2dc6-17e7-47f1-a54f-87b94a59b508.json
@@ -1,5 +1,5 @@
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   "retrieved_timestamp": "1760492095.8105888",
   "source_metadata": {
@@ -26,6 +26,13 @@
       },
       "score_details": {
         "score": 0.0
+      },
+      "source_data": {
+        "dataset_name": "Hard Problems",
+        "source_type": "url",
+        "url": [
+          "https://webhook.cp-bench.orzzh.com/leaderboard/llm/difficulty?difficulty=hard&benchmark_mode=live"
+        ]
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     },
     {
@@ -39,6 +46,13 @@
       },
       "score_details": {
         "score": 0.014084507042253521
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+      "source_data": {
+        "dataset_name": "Medium Problems",
+        "source_type": "url",
+        "url": [
+          "https://webhook.cp-bench.orzzh.com/leaderboard/llm/difficulty?difficulty=medium&benchmark_mode=live"
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     },
     {
@@ -52,12 +66,14 @@
       },
       "score_details": {
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+      "source_data": {
+        "dataset_name": "Easy Problems",
+        "source_type": "url",
+        "url": [
+          "https://webhook.cp-bench.orzzh.com/leaderboard/llm/difficulty?difficulty=easy&benchmark_mode=live"
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-    "https://webhook.cp-bench.orzzh.com/leaderboard/llm/difficulty?difficulty=medium&benchmark_mode=live",
-    "https://webhook.cp-bench.orzzh.com/leaderboard/llm/difficulty?difficulty=easy&benchmark_mode=live"
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 }
diff --git a/data/livecodebenchpro/deepseek/ep-20250228232227-z44x5/def0b2e3-cf5f-4dfd-8f1c-827f98d1626a.json b/data/livecodebenchpro/deepseek/ep-20250228232227-z44x5/def0b2e3-cf5f-4dfd-8f1c-827f98d1626a.json
index 085690655..4ea07e2df 100644
--- a/data/livecodebenchpro/deepseek/ep-20250228232227-z44x5/def0b2e3-cf5f-4dfd-8f1c-827f98d1626a.json
+++ b/data/livecodebenchpro/deepseek/ep-20250228232227-z44x5/def0b2e3-cf5f-4dfd-8f1c-827f98d1626a.json
@@ -1,5 +1,5 @@
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@@ -26,6 +26,13 @@
       },
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+      },
+      "source_data": {
+        "dataset_name": "Hard Problems",
+        "source_type": "url",
+        "url": [
+          "https://webhook.cp-bench.orzzh.com/leaderboard/llm/difficulty?difficulty=hard&benchmark_mode=live"
+        ]
       }
     },
     {
@@ -39,6 +46,13 @@
       },
       "score_details": {
         "score": 0.0
+      },
+      "source_data": {
+        "dataset_name": "Medium Problems",
+        "source_type": "url",
+        "url": [
+          "https://webhook.cp-bench.orzzh.com/leaderboard/llm/difficulty?difficulty=medium&benchmark_mode=live"
+        ]
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     },
     {
@@ -52,12 +66,14 @@
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       "score_details": {
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+      "source_data": {
+        "dataset_name": "Easy Problems",
+        "source_type": "url",
+        "url": [
+          "https://webhook.cp-bench.orzzh.com/leaderboard/llm/difficulty?difficulty=easy&benchmark_mode=live"
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-  ],
-  "source_data": [
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-    "https://webhook.cp-bench.orzzh.com/leaderboard/llm/difficulty?difficulty=medium&benchmark_mode=live",
-    "https://webhook.cp-bench.orzzh.com/leaderboard/llm/difficulty?difficulty=easy&benchmark_mode=live"
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 }
diff --git a/data/livecodebenchpro/deepseek/ep-20250603132404-cgpjm/157dd68b-fcc2-416f-a2c0-c9781020e6af.json b/data/livecodebenchpro/deepseek/ep-20250603132404-cgpjm/157dd68b-fcc2-416f-a2c0-c9781020e6af.json
index 49a311ec8..114e45638 100644
--- a/data/livecodebenchpro/deepseek/ep-20250603132404-cgpjm/157dd68b-fcc2-416f-a2c0-c9781020e6af.json
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@@ -1,5 +1,5 @@
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@@ -26,6 +26,13 @@
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+        "source_type": "url",
+        "url": [
+          "https://webhook.cp-bench.orzzh.com/leaderboard/llm/difficulty?difficulty=hard&benchmark_mode=live"
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     {
@@ -39,6 +46,13 @@
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     {
@@ -52,12 +66,14 @@
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       "score_details": {
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+      "source_data": {
+        "dataset_name": "Easy Problems",
+        "source_type": "url",
+        "url": [
+          "https://webhook.cp-bench.orzzh.com/leaderboard/llm/difficulty?difficulty=easy&benchmark_mode=live"
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diff --git a/data/livecodebenchpro/google/gemini-2.5-flash/174f0e23-84f1-43d0-bcdf-11b83c37025a.json b/data/livecodebenchpro/google/gemini-2.5-flash/174f0e23-84f1-43d0-bcdf-11b83c37025a.json
index fb3e0da1e..57f7f41bd 100644
--- a/data/livecodebenchpro/google/gemini-2.5-flash/174f0e23-84f1-43d0-bcdf-11b83c37025a.json
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@@ -1,5 +1,5 @@
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     {
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     {
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index 8a9e9168b..a5be78bce 100644
--- a/data/livecodebenchpro/google/gemini-2.5-pro/bef7254b-549f-4e6b-b5c8-31b84dc6acda.json
+++ b/data/livecodebenchpro/google/gemini-2.5-pro/bef7254b-549f-4e6b-b5c8-31b84dc6acda.json
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@@ -26,6 +26,13 @@
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+          "https://webhook.cp-bench.orzzh.com/leaderboard/llm/difficulty?difficulty=hard&benchmark_mode=live"
+        ]
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@@ -39,6 +46,13 @@
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+          "https://webhook.cp-bench.orzzh.com/leaderboard/llm/difficulty?difficulty=medium&benchmark_mode=live"
+        ]
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@@ -52,12 +66,14 @@
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index f38c1ba83..2cbd5d730 100644
--- a/data/livecodebenchpro/kuaishou/kwaipilot-40b-0604/aa236b03-b81f-431b-b049-7101cea165f2.json
+++ b/data/livecodebenchpro/kuaishou/kwaipilot-40b-0604/aa236b03-b81f-431b-b049-7101cea165f2.json
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@@ -26,6 +26,13 @@
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+        "source_type": "url",
+        "url": [
+          "https://webhook.cp-bench.orzzh.com/leaderboard/llm/difficulty?difficulty=hard&benchmark_mode=live"
+        ]
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@@ -39,6 +46,13 @@
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+        "dataset_name": "Medium Problems",
+        "source_type": "url",
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+          "https://webhook.cp-bench.orzzh.com/leaderboard/llm/difficulty?difficulty=medium&benchmark_mode=live"
+        ]
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@@ -52,12 +66,14 @@
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+        "dataset_name": "Easy Problems",
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+          "https://webhook.cp-bench.orzzh.com/leaderboard/llm/difficulty?difficulty=easy&benchmark_mode=live"
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index 2c6ba72aa..949352df3 100644
--- a/data/livecodebenchpro/meta/llama-4-maverick/abc37028-a362-4e02-8499-1bb7497e0293.json
+++ b/data/livecodebenchpro/meta/llama-4-maverick/abc37028-a362-4e02-8499-1bb7497e0293.json
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@@ -26,6 +26,13 @@
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+        "source_type": "url",
+        "url": [
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@@ -39,6 +46,13 @@
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+        "source_type": "url",
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+        ]
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@@ -52,12 +66,14 @@
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+          "https://webhook.cp-bench.orzzh.com/leaderboard/llm/difficulty?difficulty=easy&benchmark_mode=live"
+        ]
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index 3c41a7ab4..28d6a0f6c 100644
--- a/data/livecodebenchpro/openai/gpt-4.1/ba46ef91-d157-4984-b3df-ce33d8d97f8e.json
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@@ -26,6 +26,13 @@
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+        "source_type": "url",
+        "url": [
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+        ]
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@@ -39,6 +46,13 @@
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+        "url": [
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+        ]
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@@ -52,12 +66,14 @@
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index 512ca6a35..e67250be3 100644
--- a/data/livecodebenchpro/openai/gpt-4o-2024-11-20/e70acf51-30ef-4c20-b7cc-51704d114d70.json
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@@ -26,6 +26,13 @@
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+        "source_type": "url",
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@@ -39,6 +46,13 @@
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@@ -52,12 +66,14 @@
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diff --git a/data/livecodebenchpro/openai/gpt-5-2025-08-07/0e57aa1f-48c6-42b7-9aee-43a29d21b83f.json b/data/livecodebenchpro/openai/gpt-5-2025-08-07/0e57aa1f-48c6-42b7-9aee-43a29d21b83f.json
index 8d72bdab5..cf3bb7a63 100644
--- a/data/livecodebenchpro/openai/gpt-5-2025-08-07/0e57aa1f-48c6-42b7-9aee-43a29d21b83f.json
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+        "source_type": "url",
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@@ -39,6 +46,13 @@
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@@ -52,12 +66,14 @@
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new file mode 100644
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\ No newline at end of file
diff --git a/data/livecodebenchpro/openai/gpt-5.2-2025-12-11/e9139c52-ada0-4d1c-ae82-7852aacdb6ea.json b/data/livecodebenchpro/openai/gpt-5.2-2025-12-11/e9139c52-ada0-4d1c-ae82-7852aacdb6ea.json
new file mode 100644
index 000000000..8996fcf9e
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@@ -0,0 +1,79 @@
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+    "source_name": "Live Code Bench Pro",
+    "source_type": "documentation",
+    "source_organization_name": "New York University, Princeton University, University of California San Diego, University of Washington and Canyon Crest Academy",
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+        ]
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+        ]
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+        "url": [
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+        ]
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+}
\ No newline at end of file
diff --git a/data/livecodebenchpro/openai/gpt-oss-120b/1dd8c827-72af-4c8f-9ead-989de7105590.json b/data/livecodebenchpro/openai/gpt-oss-120b/1dd8c827-72af-4c8f-9ead-989de7105590.json
index dc3a79cb3..d9a8cbc70 100644
--- a/data/livecodebenchpro/openai/gpt-oss-120b/1dd8c827-72af-4c8f-9ead-989de7105590.json
+++ b/data/livecodebenchpro/openai/gpt-oss-120b/1dd8c827-72af-4c8f-9ead-989de7105590.json
@@ -1,5 +1,5 @@
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-  "schema_version": "0.1.0",
+  "schema_version": "0.2.0",
   "evaluation_id": "livecodebenchpro/openai/gpt-oss-120b/1760492095.8105888",
   "retrieved_timestamp": "1760492095.8105888",
   "source_metadata": {
@@ -26,6 +26,13 @@
       },
       "score_details": {
         "score": 0.0
+      },
+      "source_data": {
+        "dataset_name": "Hard Problems",
+        "source_type": "url",
+        "url": [
+          "https://webhook.cp-bench.orzzh.com/leaderboard/llm/difficulty?difficulty=hard&benchmark_mode=live"
+        ]
       }
     },
     {
@@ -39,6 +46,13 @@
       },
       "score_details": {
         "score": 0.11267605633802817
+      },
+      "source_data": {
+        "dataset_name": "Medium Problems",
+        "source_type": "url",
+        "url": [
+          "https://webhook.cp-bench.orzzh.com/leaderboard/llm/difficulty?difficulty=medium&benchmark_mode=live"
+        ]
       }
     },
     {
@@ -52,12 +66,14 @@
       },
       "score_details": {
         "score": 0.6619718309859155
+      },
+      "source_data": {
+        "dataset_name": "Easy Problems",
+        "source_type": "url",
+        "url": [
+          "https://webhook.cp-bench.orzzh.com/leaderboard/llm/difficulty?difficulty=easy&benchmark_mode=live"
+        ]
       }
     }
-  ],
-  "source_data": [
-    "https://webhook.cp-bench.orzzh.com/leaderboard/llm/difficulty?difficulty=hard&benchmark_mode=live",
-    "https://webhook.cp-bench.orzzh.com/leaderboard/llm/difficulty?difficulty=medium&benchmark_mode=live",
-    "https://webhook.cp-bench.orzzh.com/leaderboard/llm/difficulty?difficulty=easy&benchmark_mode=live"
   ]
 }
diff --git a/data/livecodebenchpro/openai/gpt-oss-20b/ead39f61-b408-42b2-808f-8421a3200c89.json b/data/livecodebenchpro/openai/gpt-oss-20b/ead39f61-b408-42b2-808f-8421a3200c89.json
index 0b0caa4ef..fd7123119 100644
--- a/data/livecodebenchpro/openai/gpt-oss-20b/ead39f61-b408-42b2-808f-8421a3200c89.json
+++ b/data/livecodebenchpro/openai/gpt-oss-20b/ead39f61-b408-42b2-808f-8421a3200c89.json
@@ -1,5 +1,5 @@
 {
-  "schema_version": "0.1.0",
+  "schema_version": "0.2.0",
   "evaluation_id": "livecodebenchpro/openai/gpt-oss-20b/1760492095.8105888",
   "retrieved_timestamp": "1760492095.8105888",
   "source_metadata": {
@@ -26,6 +26,13 @@
       },
       "score_details": {
         "score": 0.0
+      },
+      "source_data": {
+        "dataset_name": "Hard Problems",
+        "source_type": "url",
+        "url": [
+          "https://webhook.cp-bench.orzzh.com/leaderboard/llm/difficulty?difficulty=hard&benchmark_mode=live"
+        ]
       }
     },
     {
@@ -39,6 +46,13 @@
       },
       "score_details": {
         "score": 0.056338028169014086
+      },
+      "source_data": {
+        "dataset_name": "Medium Problems",
+        "source_type": "url",
+        "url": [
+          "https://webhook.cp-bench.orzzh.com/leaderboard/llm/difficulty?difficulty=medium&benchmark_mode=live"
+        ]
       }
     },
     {
@@ -52,12 +66,14 @@
       },
       "score_details": {
         "score": 0.5070422535211268
+      },
+      "source_data": {
+        "dataset_name": "Easy Problems",
+        "source_type": "url",
+        "url": [
+          "https://webhook.cp-bench.orzzh.com/leaderboard/llm/difficulty?difficulty=easy&benchmark_mode=live"
+        ]
       }
     }
-  ],
-  "source_data": [
-    "https://webhook.cp-bench.orzzh.com/leaderboard/llm/difficulty?difficulty=hard&benchmark_mode=live",
-    "https://webhook.cp-bench.orzzh.com/leaderboard/llm/difficulty?difficulty=medium&benchmark_mode=live",
-    "https://webhook.cp-bench.orzzh.com/leaderboard/llm/difficulty?difficulty=easy&benchmark_mode=live"
   ]
 }
diff --git a/data/livecodebenchpro/openai/o3-2025-04-16/f96bdb35-4d61-4fde-8d91-edf55f13dc03.json b/data/livecodebenchpro/openai/o3-2025-04-16/f96bdb35-4d61-4fde-8d91-edf55f13dc03.json
index 6a43d838a..5fc307953 100644
--- a/data/livecodebenchpro/openai/o3-2025-04-16/f96bdb35-4d61-4fde-8d91-edf55f13dc03.json
+++ b/data/livecodebenchpro/openai/o3-2025-04-16/f96bdb35-4d61-4fde-8d91-edf55f13dc03.json
@@ -1,5 +1,5 @@
 {
-  "schema_version": "0.1.0",
+  "schema_version": "0.2.0",
   "evaluation_id": "livecodebenchpro/o3-2025-04-16/1760492095.8105888",
   "retrieved_timestamp": "1760492095.8105888",
   "source_metadata": {
@@ -26,6 +26,13 @@
       },
       "score_details": {
         "score": 0.0
+      },
+      "source_data": {
+        "dataset_name": "Hard Problems",
+        "source_type": "url",
+        "url": [
+          "https://webhook.cp-bench.orzzh.com/leaderboard/llm/difficulty?difficulty=hard&benchmark_mode=live"
+        ]
       }
     },
     {
@@ -39,6 +46,13 @@
       },
       "score_details": {
         "score": 0.22535211267605634
+      },
+      "source_data": {
+        "dataset_name": "Medium Problems",
+        "source_type": "url",
+        "url": [
+          "https://webhook.cp-bench.orzzh.com/leaderboard/llm/difficulty?difficulty=medium&benchmark_mode=live"
+        ]
       }
     },
     {
@@ -52,12 +66,14 @@
       },
       "score_details": {
         "score": 0.7183098591549296
+      },
+      "source_data": {
+        "dataset_name": "Easy Problems",
+        "source_type": "url",
+        "url": [
+          "https://webhook.cp-bench.orzzh.com/leaderboard/llm/difficulty?difficulty=easy&benchmark_mode=live"
+        ]
       }
     }
-  ],
-  "source_data": [
-    "https://webhook.cp-bench.orzzh.com/leaderboard/llm/difficulty?difficulty=hard&benchmark_mode=live",
-    "https://webhook.cp-bench.orzzh.com/leaderboard/llm/difficulty?difficulty=medium&benchmark_mode=live",
-    "https://webhook.cp-bench.orzzh.com/leaderboard/llm/difficulty?difficulty=easy&benchmark_mode=live"
   ]
 }
diff --git a/data/livecodebenchpro/openai/o4-mini-2025-04-16/5516f77c-932a-4eaa-ac31-dda9260ce82d.json b/data/livecodebenchpro/openai/o4-mini-2025-04-16/5516f77c-932a-4eaa-ac31-dda9260ce82d.json
new file mode 100644
index 000000000..21df96195
--- /dev/null
+++ b/data/livecodebenchpro/openai/o4-mini-2025-04-16/5516f77c-932a-4eaa-ac31-dda9260ce82d.json
@@ -0,0 +1,79 @@
+{
+  "schema_version": "0.2.0",
+  "evaluation_id": "livecodebenchpro/o4-mini-2025-04-16/1770683238.099205",
+  "retrieved_timestamp": "1770683238.099205",
+  "source_metadata": {
+    "source_name": "Live Code Bench Pro",
+    "source_type": "documentation",
+    "source_organization_name": "New York University, Princeton University, University of California San Diego, University of Washington and Canyon Crest Academy",
+    "evaluator_relationship": "third_party"
+  },
+  "model_info": {
+    "name": "o4-mini-2025-04-16",
+    "id": "openai/o4-mini-2025-04-16",
+    "developer": "openai",
+    "inference_platform": "openai"
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "Hard Problems",
+      "source_data": {
+        "dataset_name": "Hard Problems",
+        "source_type": "url",
+        "url": [
+          "https://webhook.cp-bench.orzzh.com/leaderboard/llm/difficulty?difficulty=hard&benchmark_mode=live"
+        ]
+      },
+      "metric_config": {
+        "evaluation_description": "Pass@1 on Hard Problems",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0143
+      }
+    },
+    {
+      "evaluation_name": "Medium Problems",
+      "source_data": {
+        "dataset_name": "Medium Problems",
+        "source_type": "url",
+        "url": [
+          "https://webhook.cp-bench.orzzh.com/leaderboard/llm/difficulty?difficulty=medium&benchmark_mode=live"
+        ]
+      },
+      "metric_config": {
+        "evaluation_description": "Pass@1 on Medium Problems",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2923
+      }
+    },
+    {
+      "evaluation_name": "Easy Problems",
+      "source_data": {
+        "dataset_name": "Easy Problems",
+        "source_type": "url",
+        "url": [
+          "https://webhook.cp-bench.orzzh.com/leaderboard/llm/difficulty?difficulty=easy&benchmark_mode=live"
+        ]
+      },
+      "metric_config": {
+        "evaluation_description": "Pass@1 on Easy Problems",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.8571
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/data/livecodebenchpro/openai/o4-mini-2025-04-16/8992cef5-df7e-40a1-b099-331532c3deb0.json b/data/livecodebenchpro/openai/o4-mini-2025-04-16/8992cef5-df7e-40a1-b099-331532c3deb0.json
index 23e79d50b..824e5dc57 100644
--- a/data/livecodebenchpro/openai/o4-mini-2025-04-16/8992cef5-df7e-40a1-b099-331532c3deb0.json
+++ b/data/livecodebenchpro/openai/o4-mini-2025-04-16/8992cef5-df7e-40a1-b099-331532c3deb0.json
@@ -1,5 +1,5 @@
 {
-  "schema_version": "0.1.0",
+  "schema_version": "0.2.0",
   "evaluation_id": "livecodebenchpro/o4-mini-2025-04-16/1760492095.8105888",
   "retrieved_timestamp": "1760492095.8105888",
   "source_metadata": {
@@ -26,6 +26,13 @@
       },
       "score_details": {
         "score": 0.014084507042253521
+      },
+      "source_data": {
+        "dataset_name": "Hard Problems",
+        "source_type": "url",
+        "url": [
+          "https://webhook.cp-bench.orzzh.com/leaderboard/llm/difficulty?difficulty=hard&benchmark_mode=live"
+        ]
       }
     },
     {
@@ -39,6 +46,13 @@
       },
       "score_details": {
         "score": 0.30985915492957744
+      },
+      "source_data": {
+        "dataset_name": "Medium Problems",
+        "source_type": "url",
+        "url": [
+          "https://webhook.cp-bench.orzzh.com/leaderboard/llm/difficulty?difficulty=medium&benchmark_mode=live"
+        ]
       }
     },
     {
@@ -52,12 +66,14 @@
       },
       "score_details": {
         "score": 0.8873239436619719
+      },
+      "source_data": {
+        "dataset_name": "Easy Problems",
+        "source_type": "url",
+        "url": [
+          "https://webhook.cp-bench.orzzh.com/leaderboard/llm/difficulty?difficulty=easy&benchmark_mode=live"
+        ]
       }
     }
-  ],
-  "source_data": [
-    "https://webhook.cp-bench.orzzh.com/leaderboard/llm/difficulty?difficulty=hard&benchmark_mode=live",
-    "https://webhook.cp-bench.orzzh.com/leaderboard/llm/difficulty?difficulty=medium&benchmark_mode=live",
-    "https://webhook.cp-bench.orzzh.com/leaderboard/llm/difficulty?difficulty=easy&benchmark_mode=live"
   ]
 }
diff --git a/data/livecodebenchpro/z-ai/glm-4.5/a77c08d6-a782-440c-b545-c60b6169712d.json b/data/livecodebenchpro/z-ai/glm-4.5/a77c08d6-a782-440c-b545-c60b6169712d.json
index 810237523..013991ae1 100644
--- a/data/livecodebenchpro/z-ai/glm-4.5/a77c08d6-a782-440c-b545-c60b6169712d.json
+++ b/data/livecodebenchpro/z-ai/glm-4.5/a77c08d6-a782-440c-b545-c60b6169712d.json
@@ -1,5 +1,5 @@
 {
-  "schema_version": "0.1.0",
+  "schema_version": "0.2.0",
   "evaluation_id": "livecodebenchpro/z-ai/glm-4.5/1760492095.8105888",
   "retrieved_timestamp": "1760492095.8105888",
   "source_metadata": {
@@ -26,6 +26,13 @@
       },
       "score_details": {
         "score": 0.0
+      },
+      "source_data": {
+        "dataset_name": "Hard Problems",
+        "source_type": "url",
+        "url": [
+          "https://webhook.cp-bench.orzzh.com/leaderboard/llm/difficulty?difficulty=hard&benchmark_mode=live"
+        ]
       }
     },
     {
@@ -39,6 +46,13 @@
       },
       "score_details": {
         "score": 0.028169014084507043
+      },
+      "source_data": {
+        "dataset_name": "Medium Problems",
+        "source_type": "url",
+        "url": [
+          "https://webhook.cp-bench.orzzh.com/leaderboard/llm/difficulty?difficulty=medium&benchmark_mode=live"
+        ]
       }
     },
     {
@@ -52,12 +66,14 @@
       },
       "score_details": {
         "score": 0.1267605633802817
+      },
+      "source_data": {
+        "dataset_name": "Easy Problems",
+        "source_type": "url",
+        "url": [
+          "https://webhook.cp-bench.orzzh.com/leaderboard/llm/difficulty?difficulty=easy&benchmark_mode=live"
+        ]
       }
     }
-  ],
-  "source_data": [
-    "https://webhook.cp-bench.orzzh.com/leaderboard/llm/difficulty?difficulty=hard&benchmark_mode=live",
-    "https://webhook.cp-bench.orzzh.com/leaderboard/llm/difficulty?difficulty=medium&benchmark_mode=live",
-    "https://webhook.cp-bench.orzzh.com/leaderboard/llm/difficulty?difficulty=easy&benchmark_mode=live"
   ]
 }
diff --git a/scripts/global-mmlu-lite/adapter.py b/scripts/global-mmlu-lite/adapter.py
index 2e121f40d..73cd86d69 100644
--- a/scripts/global-mmlu-lite/adapter.py
+++ b/scripts/global-mmlu-lite/adapter.py
@@ -13,7 +13,6 @@
 from typing import List
 
 from eval_types import (
-    AdditionalPropertiesObject,
     EvaluationLog,
     EvaluationResult,
     EvaluatorRelationship,
@@ -21,6 +20,7 @@
     ScoreDetails,
     ScoreType,
     SourceDataUrl,
+    Uncertainty,
 )
 
 import sys
@@ -67,10 +67,10 @@ def make_eval_result(
     stddev: float | None = None,
 ) -> EvaluationResult:
     """Create an EvaluationResult with hardcoded source_data for global-mmlu-lite."""
-    details = None
+    uncertainty = None
     if confidence_interval is not None or stddev is not None:
-        details = AdditionalPropertiesObject(
-            **{k: v for k, v in [("confidence_interval", confidence_interval), ("stddev", stddev)] if v is not None}
+        uncertainty = Uncertainty(
+            standard_deviation=stddev,
         )
     return EvaluationResult(
         evaluation_name=name,
@@ -84,7 +84,7 @@ def make_eval_result(
         ),
         score_details=ScoreDetails(
             score=round(score, 4) if score is not None else -1,
-            details=details,
+            uncertainty=uncertainty,
         ),
     )
 
diff --git a/scripts/livecodebenchpro/adapter.py b/scripts/livecodebenchpro/adapter.py
new file mode 100644
index 000000000..94532357b
--- /dev/null
+++ b/scripts/livecodebenchpro/adapter.py
@@ -0,0 +1,88 @@
+"""
+Script to migrate existing Live Code Bench Pro data from schema 0.1.0 to 0.2.0.
+
+Moves top-level source_data URLs into per-evaluation_result source_data fields
+using SourceDataUrl, matching each URL to its evaluation by difficulty.
+
+Usage:
+    uv run python scripts/livecodebenchpro/adapter.py
+"""
+
+import json
+from pathlib import Path
+
+BASE_URL = "https://webhook.cp-bench.orzzh.com/leaderboard/llm/difficulty"
+DATA_DIR = Path(__file__).parent.parent.parent / "data" / "livecodebenchpro"
+
+# Map evaluation_name -> difficulty for URL matching
+DIFFICULTY_FOR_EVAL = {
+    "Hard Problems": "hard",
+    "Medium Problems": "medium",
+    "Easy Problems": "easy",
+}
+
+
+def make_source_data(difficulty: str) -> dict:
+    """Build a SourceDataUrl dict for a given difficulty."""
+    return {
+        "dataset_name": f"{difficulty.capitalize()} Problems",
+        "source_type": "url",
+        "url": [f"{BASE_URL}?difficulty={difficulty}&benchmark_mode=live"],
+    }
+
+
+def migrate_file(filepath: Path) -> None:
+    """Migrate a single JSON file from 0.1.0 to 0.2.0."""
+    with open(filepath, "r") as f:
+        data = json.load(f)
+
+    if data.get("schema_version") == "0.2.0":
+        print(f"Skipping (already 0.2.0): {filepath}")
+        return
+
+    if data.get("schema_version") != "0.1.0":
+        raise ValueError(f"{filepath}: expected schema_version 0.1.0, got {data.get('schema_version')}")
+
+    # Remove top-level source_data
+    if "source_data" not in data:
+        raise ValueError(f"{filepath}: missing top-level source_data")
+    del data["source_data"]
+
+    # Add source_data to each evaluation_result
+    for result in data["evaluation_results"]:
+        eval_name = result.get("evaluation_name")
+        if not eval_name:
+            raise ValueError(f"{filepath}: evaluation_result missing evaluation_name")
+
+        difficulty = DIFFICULTY_FOR_EVAL.get(eval_name)
+        if not difficulty:
+            raise ValueError(f"{filepath}: unknown evaluation_name '{eval_name}'")
+
+        result["source_data"] = make_source_data(difficulty)
+
+    data["schema_version"] = "0.2.0"
+
+    with open(filepath, "w") as f:
+        json.dump(data, f, indent=2)
+        f.write("\n")
+
+
+def main():
+    if not DATA_DIR.exists():
+        raise FileNotFoundError(f"Data directory not found: {DATA_DIR}")
+
+    files = list(DATA_DIR.rglob("*.json"))
+    if not files:
+        raise FileNotFoundError(f"No JSON files found in {DATA_DIR}")
+
+    print(f"Migrating {len(files)} files in {DATA_DIR}...")
+
+    for filepath in files:
+        migrate_file(filepath)
+        print(f"Migrated: {filepath}")
+
+    print(f"\nDone! Migrated {len(files)} files to schema 0.2.0.")
+
+
+if __name__ == "__main__":
+    main()
diff --git a/uv.lock b/uv.lock
index 77be2f2dc..85c3b2986 100644
--- a/uv.lock
+++ b/uv.lock
@@ -1,13 +1,14 @@
 version = 1
+revision = 2
 requires-python = ">=3.12"
 
 [[package]]
 name = "absl-py"
 version = "2.4.0"
 source = { registry = "https://pypi.org/simple" }
-sdist = { url = "https://files.pythonhosted.org/packages/64/c7/8de93764ad66968d19329a7e0c147a2bb3c7054c554d4a119111b8f9440f/absl_py-2.4.0.tar.gz", hash = "sha256:8c6af82722b35cf71e0f4d1d47dcaebfff286e27110a99fc359349b247dfb5d4", size = 116543 }
+sdist = { url = "https://files.pythonhosted.org/packages/64/c7/8de93764ad66968d19329a7e0c147a2bb3c7054c554d4a119111b8f9440f/absl_py-2.4.0.tar.gz", hash = "sha256:8c6af82722b35cf71e0f4d1d47dcaebfff286e27110a99fc359349b247dfb5d4", size = 116543, upload_time = "2026-01-28T10:17:05.322Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/18/a6/907a406bb7d359e6a63f99c313846d9eec4f7e6f7437809e03aa00fa3074/absl_py-2.4.0-py3-none-any.whl", hash = "sha256:88476fd881ca8aab94ffa78b7b6c632a782ab3ba1cd19c9bd423abc4fb4cd28d", size = 135750 },
+    { url = "https://files.pythonhosted.org/packages/18/a6/907a406bb7d359e6a63f99c313846d9eec4f7e6f7437809e03aa00fa3074/absl_py-2.4.0-py3-none-any.whl", hash = "sha256:88476fd881ca8aab94ffa78b7b6c632a782ab3ba1cd19c9bd423abc4fb4cd28d", size = 135750, upload_time = "2026-01-28T10:17:04.19Z" },
 ]
 
 [[package]]
@@ -18,9 +19,9 @@ dependencies = [
     { name = "aiobotocore", extra = ["boto3"] },
     { name = "aiofiles" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/a2/01/92e9ab00f36e2899315f49eefcd5b4685fbb19016c7f19a9edf06da80bb0/aioboto3-15.5.0.tar.gz", hash = "sha256:ea8d8787d315594842fbfcf2c4dce3bac2ad61be275bc8584b2ce9a3402a6979", size = 255069 }
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From e0ca88a7041cd8ebb089be27bda927b69ba615cd Mon Sep 17 00:00:00 2001
From: SreeHarshaNelaturu <nelaturu.harsha@gmail.com>
Date: Wed, 11 Feb 2026 16:08:03 +0100
Subject: [PATCH 3/4] update global-mmlu-lite, make confidence_level optional
 (for now) and other changes

---
 README.md                                     |   8 +-
 ...7352e4d2-016d-404e-b443-62674ed3d75f.json} | 132 +++++++---
 ...7e577a20-9de8-49d7-b598-11755237d256.json} | 132 +++++++---
 ...7be4f076-a537-4d34-b884-8860a2d23e57.json} | 132 +++++++---
 ...d74e3633-6eda-4261-a06a-1f5d6c7d78d6.json} | 132 +++++++---
 ...1c486108-80af-4752-96d8-02832e4420cb.json} | 132 +++++++---
 ...c6d487a0-8088-405c-b6c8-20136afbe339.json} | 132 +++++++---
 ...0ef90f90-b956-48ba-bad8-234d74c27c9c.json} | 132 +++++++---
 ...10fddd86-ef3c-4d77-a1ca-020d7b19b27d.json} | 132 +++++++---
 ...d491f587-b539-4918-9377-2a8204dbd8a4.json} | 132 +++++++---
 ...7ec048f5-7539-42fa-8c16-44d006928475.json} | 132 +++++++---
 ...c23a5254-8219-460b-b334-0746aded67db.json} | 132 +++++++---
 ...9f223ea5-a5a1-4acb-81c6-6fe71239225a.json} | 132 +++++++---
 ...f2b74519-42b2-4b41-b963-df24fd0e0690.json} | 132 +++++++---
 ...b455eee3-2917-4479-89b1-e1a470e62fbe.json} | 132 +++++++---
 ...25786cd1-4ffd-4265-9b61-426ab47e5b1d.json} | 132 +++++++---
 ...257c2515-2933-4f2e-b6e6-70d4a818f086.json} | 132 +++++++---
 ...e7a344c6-eeff-4b11-93aa-a77ce2063a81.json} | 132 +++++++---
 ...55a4f39e-36fc-40d9-8e4d-5dfb3bd8d707.json} | 132 +++++++---
 ...a70391be-f081-4ee6-8128-801b27072b53.json} | 132 +++++++---
 ...14712820-c343-4d94-8eff-633a12b830af.json} | 132 +++++++---
 ...7cc69baa-9db9-4a40-a03a-d4cd6bee16c5.json} | 132 +++++++---
 ...026339f8-2a68-47c2-afaf-69a3c0c5a8db.json} | 132 +++++++---
 ...2761218a-27ef-4dc3-af3a-41ba830f8b40.json} | 132 +++++++---
 ...8a2fda68-99d6-47a5-95ee-d38e695dda55.json} | 132 +++++++---
 eval.schema.json                              |   2 +-
 eval_types.py                                 | 226 +++++++++---------
 instance_level_types.py                       | 116 +++++----
 pyproject.toml                                |   2 +-
 scripts/global-mmlu-lite/adapter.py           |  10 +-
 uv.lock                                       |  13 +-
 31 files changed, 2542 insertions(+), 1003 deletions(-)
 rename data/global-mmlu-lite/alibaba/qwen3-235b-a22b-instruct-2507/{2d0a09db-e97e-4ef7-9987-ef7c933ad721.json => 7352e4d2-016d-404e-b443-62674ed3d75f.json} (80%)
 rename data/global-mmlu-lite/anthropic/claude-3-5-haiku-20241022/{7af30210-b021-49d5-932c-75a9a42a2d08.json => 7e577a20-9de8-49d7-b598-11755237d256.json} (80%)
 rename data/global-mmlu-lite/anthropic/claude-3-7-sonnet-20250219/{4291c294-8155-4664-aec4-272445cc8862.json => 7be4f076-a537-4d34-b884-8860a2d23e57.json} (80%)
 rename data/global-mmlu-lite/anthropic/claude-opus-4-1-20250805/{911db593-5c95-41e9-9264-b130be6a9fb1.json => d74e3633-6eda-4261-a06a-1f5d6c7d78d6.json} (80%)
 rename data/global-mmlu-lite/anthropic/claude-sonnet-4-20250514/{51465d80-23e2-4328-8845-70b373408d65.json => 1c486108-80af-4752-96d8-02832e4420cb.json} (80%)
 rename data/global-mmlu-lite/cohere/command-a-03-2025/{12a16399-1aff-4173-9677-58d0d9e23ea2.json => c6d487a0-8088-405c-b6c8-20136afbe339.json} (80%)
 rename data/global-mmlu-lite/deepseek/deepseek-r1-0528/{aeaab8dd-70cd-484c-a550-18ce9f1dbad7.json => 0ef90f90-b956-48ba-bad8-234d74c27c9c.json} (80%)
 rename data/global-mmlu-lite/deepseek/deepseek-v3.1/{803ce795-80f9-49a1-92a5-8d81c8d0ff4b.json => 10fddd86-ef3c-4d77-a1ca-020d7b19b27d.json} (80%)
 rename data/global-mmlu-lite/google/gemini-2.5-flash-preview-05-20/{3796f2e5-ee3f-4598-911f-92e8efac92c3.json => d491f587-b539-4918-9377-2a8204dbd8a4.json} (80%)
 rename data/global-mmlu-lite/google/gemini-2.5-flash/{b225eef0-9698-4340-bc6d-cece877c8863.json => 7ec048f5-7539-42fa-8c16-44d006928475.json} (80%)
 rename data/global-mmlu-lite/google/gemini-2.5-pro/{531fe0ba-1f29-4409-abdb-daad56918fcc.json => c23a5254-8219-460b-b334-0746aded67db.json} (79%)
 rename data/global-mmlu-lite/google/gemini-3-pro-preview/{9193adbe-0c95-4b5e-a179-4c14e749a75c.json => 9f223ea5-a5a1-4acb-81c6-6fe71239225a.json} (80%)
 rename data/global-mmlu-lite/google/gemma-3-27b-it/{7a0bdc36-cff9-4a01-aa5c-750882aeccd4.json => f2b74519-42b2-4b41-b963-df24fd0e0690.json} (79%)
 rename data/global-mmlu-lite/google/gemma-3-4b-it/{548f8e83-3e97-4cb4-83ac-8da11d8f3e5f.json => b455eee3-2917-4479-89b1-e1a470e62fbe.json} (79%)
 rename data/global-mmlu-lite/mistralai/mistral-medium-3/{1e2e51d0-42e8-4564-a42c-31819f89f459.json => 25786cd1-4ffd-4265-9b61-426ab47e5b1d.json} (80%)
 rename data/global-mmlu-lite/mistralai/mistral-small-2503/{85822e81-7478-4f63-b7f3-89a78e75c6d9.json => 257c2515-2933-4f2e-b6e6-70d4a818f086.json} (80%)
 rename data/global-mmlu-lite/openai/gpt-4.1-2025-04-14/{c4b48f92-4f10-4831-86a9-3ede0512bf7b.json => e7a344c6-eeff-4b11-93aa-a77ce2063a81.json} (80%)
 rename data/global-mmlu-lite/openai/gpt-5-2025-08-07/{07d59b47-f0d1-48a4-87fb-b931bbb21ac7.json => 55a4f39e-36fc-40d9-8e4d-5dfb3bd8d707.json} (80%)
 rename data/global-mmlu-lite/openai/o3-mini-2025-01-31/{bfc75f7b-ebc2-4833-acb2-a9b48bd02d79.json => a70391be-f081-4ee6-8128-801b27072b53.json} (80%)
 rename data/global-mmlu-lite/unknown/aya-expanse-32b/{1b07b6c2-9eb1-4e90-9e29-91c2b8258b4d.json => 14712820-c343-4d94-8eff-633a12b830af.json} (80%)
 rename data/global-mmlu-lite/unknown/granite-4.0-h-small/{96569c98-0d02-4b32-b915-87b707102913.json => 7cc69baa-9db9-4a40-a03a-d4cd6bee16c5.json} (80%)
 rename data/global-mmlu-lite/unknown/o4-mini-2025-04-16/{f1955ca9-b8ef-4565-9c4c-2e7aaba6a9db.json => 026339f8-2a68-47c2-afaf-69a3c0c5a8db.json} (80%)
 rename data/global-mmlu-lite/xai/grok-3-mini/{143d53e6-b34e-4fa8-af3f-8019cef29abb.json => 2761218a-27ef-4dc3-af3a-41ba830f8b40.json} (79%)
 rename data/global-mmlu-lite/xai/grok-4-0709/{bcfa473c-1686-42af-8d07-4c8b92c3d864.json => 8a2fda68-99d6-47a5-95ee-d38e695dda55.json} (79%)

diff --git a/README.md b/README.md
index ff8532273..7760495ca 100644
--- a/README.md
+++ b/README.md
@@ -188,10 +188,8 @@ Each evaluation (e.g., `livecodebenchpro`, `hfopenllm_v2`) has its own directory
 
 Run following bash commands to generate pydantic classes for `eval.schema.json` and `instance_level_eval.schema.json` (to easier use in data converter scripts):
 
+uv run datamodel-codegen --input eval.schema.json --output eval_types.py --class-name EvaluationLog --output-model-type pydantic_v2.BaseModel --input-file-type jsonschema --formatters ruff-format ruff-check
+uv run datamodel-codegen --input instance_level_eval.schema.json --output instance_level_types.py --class-name InstanceLevelEvaluationLog --output-model-type pydantic_v2.BaseModel --input-file-type jsonschema --formatters ruff-format ruff-check
+
 ```bash
-uv run datamodel-codegen --input eval.schema.json --output eval_types.py --class-name EvaluationLog --output-model-type pydantic_v2.BaseModel --input-file-type jsonschema
 ```
-and
-```bash
-uv run datamodel-codegen --input instance_level_eval.schema.json --output instance_level_types.py --class-name InstanceLevelEvaluationLog --output-model-type pydantic_v2.BaseModel --input-file-type jsonschema
-```
\ No newline at end of file
diff --git a/data/global-mmlu-lite/alibaba/qwen3-235b-a22b-instruct-2507/2d0a09db-e97e-4ef7-9987-ef7c933ad721.json b/data/global-mmlu-lite/alibaba/qwen3-235b-a22b-instruct-2507/7352e4d2-016d-404e-b443-62674ed3d75f.json
similarity index 80%
rename from data/global-mmlu-lite/alibaba/qwen3-235b-a22b-instruct-2507/2d0a09db-e97e-4ef7-9987-ef7c933ad721.json
rename to data/global-mmlu-lite/alibaba/qwen3-235b-a22b-instruct-2507/7352e4d2-016d-404e-b443-62674ed3d75f.json
index a4dc797fb..f983a3d6f 100644
--- a/data/global-mmlu-lite/alibaba/qwen3-235b-a22b-instruct-2507/2d0a09db-e97e-4ef7-9987-ef7c933ad721.json
+++ b/data/global-mmlu-lite/alibaba/qwen3-235b-a22b-instruct-2507/7352e4d2-016d-404e-b443-62674ed3d75f.json
@@ -1,7 +1,7 @@
 {
   "schema_version": "0.2.0",
-  "evaluation_id": "global-mmlu-lite/alibaba_qwen3-235b-a22b-instruct-2507/1770682039.8556428",
-  "retrieved_timestamp": "1770682039.8556428",
+  "evaluation_id": "global-mmlu-lite/alibaba_qwen3-235b-a22b-instruct-2507/1770822205.005286",
+  "retrieved_timestamp": "1770822205.005286",
   "source_metadata": {
     "source_name": "Global MMLU Lite",
     "source_type": "documentation",
@@ -97,8 +97,12 @@
       },
       "score_details": {
         "score": 0.88,
-        "details": {
-          "confidence_interval": 0.0318456453642134
+        "uncertainty": {
+          "confidence_interval": {
+            "lower": -0.0318,
+            "upper": 0.0318,
+            "method": "unknown"
+          }
         }
       }
     },
@@ -120,8 +124,12 @@
       },
       "score_details": {
         "score": 0.89,
-        "details": {
-          "confidence_interval": 0.0306626327370121
+        "uncertainty": {
+          "confidence_interval": {
+            "lower": -0.0307,
+            "upper": 0.0307,
+            "method": "unknown"
+          }
         }
       }
     },
@@ -143,8 +151,12 @@
       },
       "score_details": {
         "score": 0.8875,
-        "details": {
-          "confidence_interval": 0.0309655314070612
+        "uncertainty": {
+          "confidence_interval": {
+            "lower": -0.031,
+            "upper": 0.031,
+            "method": "unknown"
+          }
         }
       }
     },
@@ -166,8 +178,12 @@
       },
       "score_details": {
         "score": 0.885,
-        "details": {
-          "confidence_interval": 0.0312635759101603
+        "uncertainty": {
+          "confidence_interval": {
+            "lower": -0.0313,
+            "upper": 0.0313,
+            "method": "unknown"
+          }
         }
       }
     },
@@ -189,8 +205,12 @@
       },
       "score_details": {
         "score": 0.88,
-        "details": {
-          "confidence_interval": 0.0318456453642134
+        "uncertainty": {
+          "confidence_interval": {
+            "lower": -0.0318,
+            "upper": 0.0318,
+            "method": "unknown"
+          }
         }
       }
     },
@@ -212,8 +232,12 @@
       },
       "score_details": {
         "score": 0.8775,
-        "details": {
-          "confidence_interval": 0.0321299242960121
+        "uncertainty": {
+          "confidence_interval": {
+            "lower": -0.0321,
+            "upper": 0.0321,
+            "method": "unknown"
+          }
         }
       }
     },
@@ -235,8 +259,12 @@
       },
       "score_details": {
         "score": 0.88,
-        "details": {
-          "confidence_interval": 0.0318456453642134
+        "uncertainty": {
+          "confidence_interval": {
+            "lower": -0.0318,
+            "upper": 0.0318,
+            "method": "unknown"
+          }
         }
       }
     },
@@ -258,8 +286,12 @@
       },
       "score_details": {
         "score": 0.88,
-        "details": {
-          "confidence_interval": 0.0318456453642134
+        "uncertainty": {
+          "confidence_interval": {
+            "lower": -0.0318,
+            "upper": 0.0318,
+            "method": "unknown"
+          }
         }
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similarity index 80%
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index 13616c5b7..06cf9f2c2 100644
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similarity index 79%
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rename to data/global-mmlu-lite/google/gemini-2.5-pro/c23a5254-8219-460b-b334-0746aded67db.json
index e386875a5..3b4524e12 100644
--- a/data/global-mmlu-lite/google/gemini-2.5-pro/531fe0ba-1f29-4409-abdb-daad56918fcc.json
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similarity index 80%
rename from data/global-mmlu-lite/google/gemini-3-pro-preview/9193adbe-0c95-4b5e-a179-4c14e749a75c.json
rename to data/global-mmlu-lite/google/gemini-3-pro-preview/9f223ea5-a5a1-4acb-81c6-6fe71239225a.json
index 358a13ce5..97360f3df 100644
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diff --git a/data/global-mmlu-lite/google/gemma-3-27b-it/7a0bdc36-cff9-4a01-aa5c-750882aeccd4.json b/data/global-mmlu-lite/google/gemma-3-27b-it/f2b74519-42b2-4b41-b963-df24fd0e0690.json
similarity index 79%
rename from data/global-mmlu-lite/google/gemma-3-27b-it/7a0bdc36-cff9-4a01-aa5c-750882aeccd4.json
rename to data/global-mmlu-lite/google/gemma-3-27b-it/f2b74519-42b2-4b41-b963-df24fd0e0690.json
index 0fda04c23..0d14a421a 100644
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similarity index 80%
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index 8cd940025..6b3c13f5c 100644
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diff --git a/data/global-mmlu-lite/xai/grok-3-mini/143d53e6-b34e-4fa8-af3f-8019cef29abb.json b/data/global-mmlu-lite/xai/grok-3-mini/2761218a-27ef-4dc3-af3a-41ba830f8b40.json
similarity index 79%
rename from data/global-mmlu-lite/xai/grok-3-mini/143d53e6-b34e-4fa8-af3f-8019cef29abb.json
rename to data/global-mmlu-lite/xai/grok-3-mini/2761218a-27ef-4dc3-af3a-41ba830f8b40.json
index 18e2509ab..682b7a3d5 100644
--- a/data/global-mmlu-lite/xai/grok-3-mini/143d53e6-b34e-4fa8-af3f-8019cef29abb.json
+++ b/data/global-mmlu-lite/xai/grok-3-mini/2761218a-27ef-4dc3-af3a-41ba830f8b40.json
@@ -1,7 +1,7 @@
 {
   "schema_version": "0.2.0",
-  "evaluation_id": "global-mmlu-lite/xai_grok-3-mini/1770682039.8556428",
-  "retrieved_timestamp": "1770682039.8556428",
+  "evaluation_id": "global-mmlu-lite/xai_grok-3-mini/1770822205.005286",
+  "retrieved_timestamp": "1770822205.005286",
   "source_metadata": {
     "source_name": "Global MMLU Lite",
     "source_type": "documentation",
@@ -97,8 +97,12 @@
       },
       "score_details": {
         "score": 0.755,
-        "details": {
-          "confidence_interval": 0.0421477711557175
+        "uncertainty": {
+          "confidence_interval": {
+            "lower": -0.0421,
+            "upper": 0.0421,
+            "method": "unknown"
+          }
         }
       }
     },
@@ -120,8 +124,12 @@
       },
       "score_details": {
         "score": 0.5075,
-        "details": {
-          "confidence_interval": 0.0489935869046875
+        "uncertainty": {
+          "confidence_interval": {
+            "lower": -0.049,
+            "upper": 0.049,
+            "method": "unknown"
+          }
         }
       }
     },
@@ -143,8 +151,12 @@
       },
       "score_details": {
         "score": 0.7355,
-        "details": {
-          "confidence_interval": 0.0433858795425096
+        "uncertainty": {
+          "confidence_interval": {
+            "lower": -0.0434,
+            "upper": 0.0434,
+            "method": "unknown"
+          }
         }
       }
     },
@@ -166,8 +178,12 @@
       },
       "score_details": {
         "score": 0.6591,
-        "details": {
-          "confidence_interval": 0.0465089008517938
+        "uncertainty": {
+          "confidence_interval": {
+            "lower": -0.0465,
+            "upper": 0.0465,
+            "method": "unknown"
+          }
         }
       }
     },
@@ -189,8 +205,12 @@
       },
       "score_details": {
         "score": 0.485,
-        "details": {
-          "confidence_interval": 0.0489770450552826
+        "uncertainty": {
+          "confidence_interval": {
+            "lower": -0.049,
+            "upper": 0.049,
+            "method": "unknown"
+          }
         }
       }
     },
@@ -212,8 +232,12 @@
       },
       "score_details": {
         "score": 0.56,
-        "details": {
-          "confidence_interval": 0.0486450268120758
+        "uncertainty": {
+          "confidence_interval": {
+            "lower": -0.0486,
+            "upper": 0.0486,
+            "method": "unknown"
+          }
         }
       }
     },
@@ -235,8 +259,12 @@
       },
       "score_details": {
         "score": 0.725,
-        "details": {
-          "confidence_interval": 0.0437575951229009
+        "uncertainty": {
+          "confidence_interval": {
+            "lower": -0.0438,
+            "upper": 0.0438,
+            "method": "unknown"
+          }
         }
       }
     },
@@ -258,8 +286,12 @@
       },
       "score_details": {
         "score": 0.696,
-        "details": {
-          "confidence_interval": 0.0451914267324277
+        "uncertainty": {
+          "confidence_interval": {
+            "lower": -0.0452,
+            "upper": 0.0452,
+            "method": "unknown"
+          }
         }
       }
     },
@@ -281,8 +313,12 @@
       },
       "score_details": {
         "score": 0.6575,
-        "details": {
-          "confidence_interval": 0.0465046373306654
+        "uncertainty": {
+          "confidence_interval": {
+            "lower": -0.0465,
+            "upper": 0.0465,
+            "method": "unknown"
+          }
         }
       }
     },
@@ -304,8 +340,12 @@
       },
       "score_details": {
         "score": 0.7325,
-        "details": {
-          "confidence_interval": 0.0433794261948387
+        "uncertainty": {
+          "confidence_interval": {
+            "lower": -0.0434,
+            "upper": 0.0434,
+            "method": "unknown"
+          }
         }
       }
     },
@@ -327,8 +367,12 @@
       },
       "score_details": {
         "score": 0.6275,
-        "details": {
-          "confidence_interval": 0.04737924097692
+        "uncertainty": {
+          "confidence_interval": {
+            "lower": -0.0474,
+            "upper": 0.0474,
+            "method": "unknown"
+          }
         }
       }
     },
@@ -350,8 +394,12 @@
       },
       "score_details": {
         "score": 0.61,
-        "details": {
-          "confidence_interval": 0.0477986153942541
+        "uncertainty": {
+          "confidence_interval": {
+            "lower": -0.0478,
+            "upper": 0.0478,
+            "method": "unknown"
+          }
         }
       }
     },
@@ -373,8 +421,12 @@
       },
       "score_details": {
         "score": 0.7625,
-        "details": {
-          "confidence_interval": 0.0417032427788918
+        "uncertainty": {
+          "confidence_interval": {
+            "lower": -0.0417,
+            "upper": 0.0417,
+            "method": "unknown"
+          }
         }
       }
     },
@@ -396,8 +448,12 @@
       },
       "score_details": {
         "score": 0.8296,
-        "details": {
-          "confidence_interval": 0.0368941238003664
+        "uncertainty": {
+          "confidence_interval": {
+            "lower": -0.0369,
+            "upper": 0.0369,
+            "method": "unknown"
+          }
         }
       }
     },
@@ -419,8 +475,12 @@
       },
       "score_details": {
         "score": 0.5564,
-        "details": {
-          "confidence_interval": 0.0487474461160897
+        "uncertainty": {
+          "confidence_interval": {
+            "lower": -0.0487,
+            "upper": 0.0487,
+            "method": "unknown"
+          }
         }
       }
     },
@@ -442,8 +502,12 @@
       },
       "score_details": {
         "score": 0.8693,
-        "details": {
-          "confidence_interval": 0.0331103067375873
+        "uncertainty": {
+          "confidence_interval": {
+            "lower": -0.0331,
+            "upper": 0.0331,
+            "method": "unknown"
+          }
         }
       }
     }
diff --git a/data/global-mmlu-lite/xai/grok-4-0709/bcfa473c-1686-42af-8d07-4c8b92c3d864.json b/data/global-mmlu-lite/xai/grok-4-0709/8a2fda68-99d6-47a5-95ee-d38e695dda55.json
similarity index 79%
rename from data/global-mmlu-lite/xai/grok-4-0709/bcfa473c-1686-42af-8d07-4c8b92c3d864.json
rename to data/global-mmlu-lite/xai/grok-4-0709/8a2fda68-99d6-47a5-95ee-d38e695dda55.json
index 0a731d29e..b5cecaa08 100644
--- a/data/global-mmlu-lite/xai/grok-4-0709/bcfa473c-1686-42af-8d07-4c8b92c3d864.json
+++ b/data/global-mmlu-lite/xai/grok-4-0709/8a2fda68-99d6-47a5-95ee-d38e695dda55.json
@@ -1,7 +1,7 @@
 {
   "schema_version": "0.2.0",
-  "evaluation_id": "global-mmlu-lite/xai_grok-4-0709/1770682039.8556428",
-  "retrieved_timestamp": "1770682039.8556428",
+  "evaluation_id": "global-mmlu-lite/xai_grok-4-0709/1770822205.005286",
+  "retrieved_timestamp": "1770822205.005286",
   "source_metadata": {
     "source_name": "Global MMLU Lite",
     "source_type": "documentation",
@@ -97,8 +97,12 @@
       },
       "score_details": {
         "score": 0.885,
-        "details": {
-          "confidence_interval": 0.0312635759101603
+        "uncertainty": {
+          "confidence_interval": {
+            "lower": -0.0313,
+            "upper": 0.0313,
+            "method": "unknown"
+          }
         }
       }
     },
@@ -120,8 +124,12 @@
       },
       "score_details": {
         "score": 0.905,
-        "details": {
-          "confidence_interval": 0.0287345359327925
+        "uncertainty": {
+          "confidence_interval": {
+            "lower": -0.0287,
+            "upper": 0.0287,
+            "method": "unknown"
+          }
         }
       }
     },
@@ -143,8 +151,12 @@
       },
       "score_details": {
         "score": 0.8925,
-        "details": {
-          "confidence_interval": 0.0303547345865505
+        "uncertainty": {
+          "confidence_interval": {
+            "lower": -0.0304,
+            "upper": 0.0304,
+            "method": "unknown"
+          }
         }
       }
     },
@@ -166,8 +178,12 @@
       },
       "score_details": {
         "score": 0.8725,
-        "details": {
-          "confidence_interval": 0.0326855581520567
+        "uncertainty": {
+          "confidence_interval": {
+            "lower": -0.0327,
+            "upper": 0.0327,
+            "method": "unknown"
+          }
         }
       }
     },
@@ -189,8 +205,12 @@
       },
       "score_details": {
         "score": 0.875,
-        "details": {
-          "confidence_interval": 0.0324098580108514
+        "uncertainty": {
+          "confidence_interval": {
+            "lower": -0.0324,
+            "upper": 0.0324,
+            "method": "unknown"
+          }
         }
       }
     },
@@ -212,8 +232,12 @@
       },
       "score_details": {
         "score": 0.8675,
-        "details": {
-          "confidence_interval": 0.0332246776628893
+        "uncertainty": {
+          "confidence_interval": {
+            "lower": -0.0332,
+            "upper": 0.0332,
+            "method": "unknown"
+          }
         }
       }
     },
@@ -235,8 +259,12 @@
       },
       "score_details": {
         "score": 0.89,
-        "details": {
-          "confidence_interval": 0.0306626327370121
+        "uncertainty": {
+          "confidence_interval": {
+            "lower": -0.0307,
+            "upper": 0.0307,
+            "method": "unknown"
+          }
         }
       }
     },
@@ -258,8 +286,12 @@
       },
       "score_details": {
         "score": 0.9025,
-        "details": {
-          "confidence_interval": 0.0290699315059157
+        "uncertainty": {
+          "confidence_interval": {
+            "lower": -0.0291,
+            "upper": 0.0291,
+            "method": "unknown"
+          }
         }
       }
     },
@@ -281,8 +313,12 @@
       },
       "score_details": {
         "score": 0.87,
-        "details": {
-          "confidence_interval": 0.0329571309666248
+        "uncertainty": {
+          "confidence_interval": {
+            "lower": -0.033,
+            "upper": 0.033,
+            "method": "unknown"
+          }
         }
       }
     },
@@ -304,8 +340,12 @@
       },
       "score_details": {
         "score": 0.895,
-        "details": {
-          "confidence_interval": 0.0300416832365769
+        "uncertainty": {
+          "confidence_interval": {
+            "lower": -0.03,
+            "upper": 0.03,
+            "method": "unknown"
+          }
         }
       }
     },
@@ -327,8 +367,12 @@
       },
       "score_details": {
         "score": 0.8725,
-        "details": {
-          "confidence_interval": 0.0326855581520567
+        "uncertainty": {
+          "confidence_interval": {
+            "lower": -0.0327,
+            "upper": 0.0327,
+            "method": "unknown"
+          }
         }
       }
     },
@@ -350,8 +394,12 @@
       },
       "score_details": {
         "score": 0.9075,
-        "details": {
-          "confidence_interval": 0.0283930651251164
+        "uncertainty": {
+          "confidence_interval": {
+            "lower": -0.0284,
+            "upper": 0.0284,
+            "method": "unknown"
+          }
         }
       }
     },
@@ -373,8 +421,12 @@
       },
       "score_details": {
         "score": 0.91,
-        "details": {
-          "confidence_interval": 0.0280452971732717
+        "uncertainty": {
+          "confidence_interval": {
+            "lower": -0.028,
+            "upper": 0.028,
+            "method": "unknown"
+          }
         }
       }
     },
@@ -396,8 +448,12 @@
       },
       "score_details": {
         "score": 0.905,
-        "details": {
-          "confidence_interval": 0.0287345359327925
+        "uncertainty": {
+          "confidence_interval": {
+            "lower": -0.0287,
+            "upper": 0.0287,
+            "method": "unknown"
+          }
         }
       }
     },
@@ -419,8 +475,12 @@
       },
       "score_details": {
         "score": 0.8525,
-        "details": {
-          "confidence_interval": 0.0347505193336969
+        "uncertainty": {
+          "confidence_interval": {
+            "lower": -0.0348,
+            "upper": 0.0348,
+            "method": "unknown"
+          }
         }
       }
     },
@@ -442,8 +502,12 @@
       },
       "score_details": {
         "score": 0.9075,
-        "details": {
-          "confidence_interval": 0.0283930651251164
+        "uncertainty": {
+          "confidence_interval": {
+            "lower": -0.0284,
+            "upper": 0.0284,
+            "method": "unknown"
+          }
         }
       }
     }
diff --git a/eval.schema.json b/eval.schema.json
index c9917b4ad..9ca971c4c 100644
--- a/eval.schema.json
+++ b/eval.schema.json
@@ -287,7 +287,7 @@
                                                 "description": "How the confidence interval was computed"
                                             }
                                         },
-                                        "required": ["lower", "upper", "confidence_level"]
+                                        "required": ["lower", "upper"]
                                     },
                                     "standard_deviation": {
                                         "type": "number",
diff --git a/eval_types.py b/eval_types.py
index e4d8a9e44..b1b1e6584 100644
--- a/eval_types.py
+++ b/eval_types.py
@@ -1,65 +1,63 @@
 # generated by datamodel-codegen:
 #   filename:  eval.schema.json
-#   timestamp: 2026-02-10T16:07:04+00:00
+#   timestamp: 2026-02-11T15:00:05+00:00
 
 from __future__ import annotations
-
 from enum import Enum
-from typing import Any, Literal
-
 from pydantic import BaseModel, ConfigDict, Field, confloat, conint
+from typing import Any, Literal
 
 
 class SourceType(Enum):
-    documentation = 'documentation'
-    evaluation_run = 'evaluation_run'
+    documentation = "documentation"
+    evaluation_run = "evaluation_run"
 
 
 class EvaluatorRelationship(Enum):
-    first_party = 'first_party'
-    third_party = 'third_party'
-    collaborative = 'collaborative'
-    other = 'other'
+    first_party = "first_party"
+    third_party = "third_party"
+    collaborative = "collaborative"
+    other = "other"
 
 
 class SourceMetadata(BaseModel):
     source_name: str | None = Field(
         None,
-        description='Name of the source (e.g. title of the source leaderboard or name of the platform used for the evaluation).',
+        description="Name of the source (e.g. title of the source leaderboard or name of the platform used for the evaluation).",
     )
     source_type: SourceType = Field(
         ...,
-        description='Whether the data comes from a direct evaluation run or from documentation',
+        description="Whether the data comes from a direct evaluation run or from documentation",
     )
     source_organization_name: str = Field(
-        ..., description='Name of the organization that provides the data'
+        ..., description="Name of the organization that provides the data"
     )
     source_organization_url: str | None = Field(
-        None, description='URL for the organization that provides the data'
+        None, description="URL for the organization that provides the data"
     )
     source_organization_logo_url: str | None = Field(
-        None, description='URL for the Logo for the organization that provides the data'
+        None, description="URL for the Logo for the organization that provides the data"
     )
     evaluator_relationship: EvaluatorRelationship = Field(
-        ..., description='Relationship between the evaluator and the model'
+        ..., description="Relationship between the evaluator and the model"
     )
 
 
 class ScoreType(Enum):
-    binary = 'binary'
-    continuous = 'continuous'
-    levels = 'levels'
+    binary = "binary"
+    continuous = "continuous"
+    levels = "levels"
 
 
 class AggregationMethod(Enum):
-    majority_vote = 'majority_vote'
-    average = 'average'
-    weighted_average = 'weighted_average'
-    median = 'median'
+    majority_vote = "majority_vote"
+    average = "average"
+    weighted_average = "weighted_average"
+    median = "median"
 
 
 class StandardError(BaseModel):
-    value: float = Field(..., description='The standard error value')
+    value: float = Field(..., description="The standard error value")
     method: str | None = Field(
         None,
         description="How the standard error was computed (e.g. 'analytic', 'bootstrap', 'jackknife')",
@@ -67,216 +65,216 @@ class StandardError(BaseModel):
 
 
 class ConfidenceInterval(BaseModel):
-    lower: float = Field(..., description='Lower bound of the confidence interval')
-    upper: float = Field(..., description='Upper bound of the confidence interval')
-    confidence_level: confloat(ge=0.0, le=1.0) = Field(
-        ..., description='Confidence level (e.g. 0.95 for a 95% confidence interval)'
+    lower: float = Field(..., description="Lower bound of the confidence interval")
+    upper: float = Field(..., description="Upper bound of the confidence interval")
+    confidence_level: confloat(ge=0.0, le=1.0) | None = Field(
+        None, description="Confidence level (e.g. 0.95 for a 95% confidence interval)"
     )
     method: str | None = Field(
-        None, description='How the confidence interval was computed'
+        None, description="How the confidence interval was computed"
     )
 
 
 class Uncertainty(BaseModel):
     standard_error: StandardError | None = Field(
         None,
-        description='Standard error of the score estimate (SE_mean = standard_deviation / sqrt(num_samples))',
+        description="Standard error of the score estimate (SE_mean = standard_deviation / sqrt(num_samples))",
     )
     confidence_interval: ConfidenceInterval | None = Field(
         None,
-        description='Lower and upper bounds for the metric at a given confidence level.',
+        description="Lower and upper bounds for the metric at a given confidence level.",
     )
     standard_deviation: float | None = Field(
-        None, description='Standard deviation of the per-sample scores'
+        None, description="Standard deviation of the per-sample scores"
     )
     num_samples: int | None = Field(
-        None, description='Number of samples used to compute the uncertainty estimates'
+        None, description="Number of samples used to compute the uncertainty estimates"
     )
     num_bootstrap_samples: int | None = Field(
         None,
-        description='Number of bootstrap resamples used, if bootstrap method was applied',
+        description="Number of bootstrap resamples used, if bootstrap method was applied",
     )
 
 
 class EvalLimits(BaseModel):
-    time_limit: int | None = Field(None, description='Time limit for evaluation.')
-    message_limit: int | None = Field(None, description='Message limit for evaluation.')
-    token_limit: int | None = Field(None, description='Token limit for evaluation.')
+    time_limit: int | None = Field(None, description="Time limit for evaluation.")
+    message_limit: int | None = Field(None, description="Message limit for evaluation.")
+    token_limit: int | None = Field(None, description="Token limit for evaluation.")
 
 
 class Sandbox(BaseModel):
-    type: str | None = Field(None, description='Type of sandbox e.g. docker')
+    type: str | None = Field(None, description="Type of sandbox e.g. docker")
     config: str | None = Field(
         None,
-        description='Config file name/path e.g. compose.yaml. TODO or full config? Not sure based on the Inspect docs',
+        description="Config file name/path e.g. compose.yaml. TODO or full config? Not sure based on the Inspect docs",
     )
 
 
 class Format(Enum):
-    jsonl = 'jsonl'
-    json = 'json'
+    jsonl = "jsonl"
+    json = "json"
 
 
 class HashAlgorithm(Enum):
-    sha256 = 'sha256'
-    md5 = 'md5'
+    sha256 = "sha256"
+    md5 = "md5"
 
 
 class DetailedEvaluationResults(BaseModel):
     format: Format | None = Field(
-        None, description='Format of the detailed evaluation results'
+        None, description="Format of the detailed evaluation results"
     )
     file_path: str | None = Field(
-        None, description='Path to the detailed evaluation results file'
+        None, description="Path to the detailed evaluation results file"
     )
     hash_algorithm: HashAlgorithm | None = Field(
         None,
-        description='Hash algorithm used for checksum and sample_hash in instance-level data',
+        description="Hash algorithm used for checksum and sample_hash in instance-level data",
     )
-    checksum: str | None = Field(None, description='Checksum value of the file')
+    checksum: str | None = Field(None, description="Checksum value of the file")
     total_rows: int | None = Field(
-        None, description='Total number of rows in the detailed evaluation results file'
+        None, description="Total number of rows in the detailed evaluation results file"
     )
 
 
 class AdditionalPropertiesObject(BaseModel):
     model_config = ConfigDict(
-        extra='allow',
+        extra="allow",
     )
 
 
 class InferenceEngine(BaseModel):
-    name: str | None = Field(None, description='Name of the inference engine')
-    version: str | None = Field(None, description='Version of the inference engine')
+    name: str | None = Field(None, description="Name of the inference engine")
+    version: str | None = Field(None, description="Version of the inference engine")
 
 
 class ModelInfo(BaseModel):
-    name: str = Field(..., description='Model name provided by evaluation source')
+    name: str = Field(..., description="Model name provided by evaluation source")
     id: str = Field(
         ...,
-        description='Model name in HuggingFace format (e.g. meta-llama/Llama-3.1-8B-Instruct for models available on HuggingFace or openai/azure/gpt-4o-mini-2024-07-18 for closed API models)',
+        description="Model name in HuggingFace format (e.g. meta-llama/Llama-3.1-8B-Instruct for models available on HuggingFace or openai/azure/gpt-4o-mini-2024-07-18 for closed API models)",
     )
     developer: str | None = Field(
         None, description="Name of organization that provides the model (e.g. 'OpenAI')"
     )
     inference_platform: str | None = Field(
         None,
-        description='Name of inference platform which provides an access to models by API to run the evaluations or provides models weights to run them locally (e.g. HuggingFace, Bedrock, Together AI)',
+        description="Name of inference platform which provides an access to models by API to run the evaluations or provides models weights to run them locally (e.g. HuggingFace, Bedrock, Together AI)",
     )
     inference_engine: InferenceEngine | None = Field(
         None,
-        description='Name of inference engine which provides an access to optimized models to use them for local evaluations (e.g. vLLM, Ollama).',
+        description="Name of inference engine which provides an access to optimized models to use them for local evaluations (e.g. vLLM, Ollama).",
     )
     additional_details: AdditionalPropertiesObject | None = None
 
 
 class SourceDataUrl(BaseModel):
     model_config = ConfigDict(
-        extra='allow',
+        extra="allow",
     )
-    dataset_name: str = Field(..., description='Name of the source dataset')
-    source_type: Literal['url']
+    dataset_name: str = Field(..., description="Name of the source dataset")
+    source_type: Literal["url"]
     url: list[str] = Field(
-        ..., description='URL(s) for the source of the evaluation data', min_length=1
+        ..., description="URL(s) for the source of the evaluation data", min_length=1
     )
     additional_details: AdditionalPropertiesObject | None = None
 
 
 class SourceDataHf(BaseModel):
     model_config = ConfigDict(
-        extra='allow',
+        extra="allow",
     )
-    dataset_name: str = Field(..., description='Name of the source dataset')
-    source_type: Literal['hf_dataset']
-    hf_repo: str | None = Field(None, description='HuggingFace repository identifier')
-    hf_split: str | None = Field(None, description='One of train, val or test.')
+    dataset_name: str = Field(..., description="Name of the source dataset")
+    source_type: Literal["hf_dataset"]
+    hf_repo: str | None = Field(None, description="HuggingFace repository identifier")
+    hf_split: str | None = Field(None, description="One of train, val or test.")
     samples_number: int | None = Field(
-        None, description='Number of samples in the dataset'
+        None, description="Number of samples in the dataset"
     )
     sample_ids: list[int | str] | None = Field(
-        None, description='Array of sample ids used for evaluation'
+        None, description="Array of sample ids used for evaluation"
     )
     additional_details: AdditionalPropertiesObject | None = None
 
 
 class SourceDataPrivate(BaseModel):
-    dataset_name: str = Field(..., description='Name of the source dataset')
-    source_type: Literal['other']
+    dataset_name: str = Field(..., description="Name of the source dataset")
+    source_type: Literal["other"]
     additional_details: AdditionalPropertiesObject | None = None
 
 
 class ScoreDetails(BaseModel):
-    score: float = Field(..., description='The score for the evaluation')
+    score: float = Field(..., description="The score for the evaluation")
     details: AdditionalPropertiesObject | None = None
     uncertainty: Uncertainty | None = Field(
-        None, description='Quantification of uncertainty around the reported score'
+        None, description="Quantification of uncertainty around the reported score"
     )
 
 
 class AvailableTool(BaseModel):
-    name: str | None = Field(None, description='e.g. bash, calculator, ...')
+    name: str | None = Field(None, description="e.g. bash, calculator, ...")
     description: str | None = None
     parameters: AdditionalPropertiesObject | None = None
 
 
 class AgenticEvalConfig(BaseModel):
     available_tools: list[AvailableTool] | None = Field(
-        None, description='List of all available tools with their configurations'
+        None, description="List of all available tools with their configurations"
     )
     additional_details: AdditionalPropertiesObject | None = None
 
 
 class EvalPlan(BaseModel):
     name: str | None = None
-    steps: list[Any] | None = Field(None, description='Array of evaluation plan steps')
+    steps: list[Any] | None = Field(None, description="Array of evaluation plan steps")
     config: AdditionalPropertiesObject | None = None
 
 
 class GenerationArgs(BaseModel):
     model_config = ConfigDict(
-        extra='allow',
+        extra="allow",
     )
-    temperature: float | None = Field(None, description='Sampling temperature')
-    top_p: float | None = Field(None, description='Nucleus sampling parameter')
-    top_k: float | None = Field(None, description='Top-k sampling parameter')
+    temperature: float | None = Field(None, description="Sampling temperature")
+    top_p: float | None = Field(None, description="Nucleus sampling parameter")
+    top_k: float | None = Field(None, description="Top-k sampling parameter")
     max_tokens: conint(ge=1) | None = Field(
-        None, description='Maximum number of tokens to generate'
+        None, description="Maximum number of tokens to generate"
     )
     execution_command: str | None = Field(
-        None, description='Command used to run the model to generate results'
+        None, description="Command used to run the model to generate results"
     )
     reasoning: bool | None = Field(
         None,
-        description='Whether reasoning orchain-of-thought was used to generate results',
+        description="Whether reasoning orchain-of-thought was used to generate results",
     )
     prompt_template: str | None = Field(
         None,
-        description='Input prompt template for task (should contain agentic info if needed).',
+        description="Input prompt template for task (should contain agentic info if needed).",
     )
     agentic_eval_config: AgenticEvalConfig | None = Field(
-        None, description='General configuration for agentic evaluations.'
+        None, description="General configuration for agentic evaluations."
     )
     eval_plan: EvalPlan | None = Field(
         None,
-        description='Plan (solvers) used in evaluation. Solvers are crucial parts of Inspect evaluations which can serve a wide variety of purposes like providing system prompts, prompt engineering, model generation or multi-turn dialog.',
+        description="Plan (solvers) used in evaluation. Solvers are crucial parts of Inspect evaluations which can serve a wide variety of purposes like providing system prompts, prompt engineering, model generation or multi-turn dialog.",
     )
     eval_limits: EvalLimits | None = Field(
         None,
-        description='Listed evaluation limits like time limit, message limit, token limit.',
+        description="Listed evaluation limits like time limit, message limit, token limit.",
     )
     sandbox: Sandbox | None = None
     max_attempts: int | None = Field(
-        1, description='Maximum number of submission attempts (default 1).'
+        1, description="Maximum number of submission attempts (default 1)."
     )
     incorrect_attempt_feedback: str | None = Field(
-        None, description='Feedback from the model after incorrect attempt.'
+        None, description="Feedback from the model after incorrect attempt."
     )
 
 
 class GenerationConfig(BaseModel):
     generation_args: GenerationArgs | None = Field(
         None,
-        description='Parameters used to generate results - properties may vary by model type',
+        description="Parameters used to generate results - properties may vary by model type",
     )
     additional_details: AdditionalPropertiesObject | None = None
 
@@ -291,90 +289,90 @@ class JudgeConfig(BaseModel):
 
 class LlmScoring(BaseModel):
     model_config = ConfigDict(
-        extra='allow',
+        extra="allow",
     )
     judges: list[JudgeConfig] = Field(
         ...,
-        description='LLM judge(s) - single item for judge, multiple for jury',
+        description="LLM judge(s) - single item for judge, multiple for jury",
         min_length=1,
     )
-    input_prompt: str = Field(..., description='Prompt template used for judging')
+    input_prompt: str = Field(..., description="Prompt template used for judging")
     aggregation_method: AggregationMethod | None = Field(
-        None, description='How to aggregate scores when multiple judges'
+        None, description="How to aggregate scores when multiple judges"
     )
     expert_baseline: float | None = Field(
-        None, description='Expert/human baseline score for comparison'
+        None, description="Expert/human baseline score for comparison"
     )
     additional_details: AdditionalPropertiesObject | None = None
 
 
 class MetricConfig(BaseModel):
     evaluation_description: str | None = Field(
-        None, description='Description of the evaluation'
+        None, description="Description of the evaluation"
     )
-    lower_is_better: bool = Field(..., description='Whether a lower score is better')
-    score_type: ScoreType | None = Field(None, description='Type of score')
-    level_names: list[str] | None = Field(None, description='Names of the score levels')
+    lower_is_better: bool = Field(..., description="Whether a lower score is better")
+    score_type: ScoreType | None = Field(None, description="Type of score")
+    level_names: list[str] | None = Field(None, description="Names of the score levels")
     level_metadata: list[str] | None = Field(
-        None, description='Additional Description for each Score Level'
+        None, description="Additional Description for each Score Level"
     )
     has_unknown_level: bool | None = Field(
         None,
-        description='Indicates whether there is an Unknown Level - if True, then a score of -1 will be treated as Unknown',
+        description="Indicates whether there is an Unknown Level - if True, then a score of -1 will be treated as Unknown",
     )
     min_score: float | None = Field(
-        None, description='Minimum possible score for continuous metric'
+        None, description="Minimum possible score for continuous metric"
     )
     max_score: float | None = Field(
-        None, description='Maximum possible score for continuous metric'
+        None, description="Maximum possible score for continuous metric"
     )
     llm_scoring: LlmScoring | None = Field(
-        None, description='Configuration when LLM is used as scorer/judge'
+        None, description="Configuration when LLM is used as scorer/judge"
     )
 
 
 class EvaluationResult(BaseModel):
-    evaluation_name: str = Field(..., description='Name of the evaluation')
+    evaluation_name: str = Field(..., description="Name of the evaluation")
     source_data: SourceDataUrl | SourceDataHf | SourceDataPrivate = Field(
         ...,
-        description='Source of dataset for this evaluation: URL, HuggingFace dataset, or private/custom dataset.',
+        description="Source of dataset for this evaluation: URL, HuggingFace dataset, or private/custom dataset.",
     )
     evaluation_timestamp: str | None = Field(
-        None, description='Timestamp for when the evaluations were run'
+        None, description="Timestamp for when the evaluations were run"
     )
-    metric_config: MetricConfig = Field(..., description='Details about the metric')
+    metric_config: MetricConfig = Field(..., description="Details about the metric")
     score_details: ScoreDetails = Field(
-        ..., description='The score for the evaluation and related details'
+        ..., description="The score for the evaluation and related details"
     )
     generation_config: GenerationConfig | None = None
 
 
 class EvaluationLog(BaseModel):
     model_config = ConfigDict(
-        extra='forbid',
+        extra="forbid",
     )
     schema_version: str = Field(
-        ..., description='Version of the schema used for this evaluation data'
+        ..., description="Version of the schema used for this evaluation data"
     )
     evaluation_id: str = Field(
         ...,
-        description='Unique identifier for this specific evaluation run. Use eval_name/model_id/retrieved_timestamp format',
+        description="Unique identifier for this specific evaluation run. Use eval_name/model_id/retrieved_timestamp format",
     )
     evaluation_timestamp: str | None = Field(
-        None, description='Timestamp for when the evaluation was run'
+        None, description="Timestamp for when the evaluation was run"
     )
     retrieved_timestamp: str = Field(
         ...,
-        description='Timestamp for when this record was created - using Unix Epoch time format',
+        description="Timestamp for when this record was created - using Unix Epoch time format",
     )
     source_metadata: SourceMetadata = Field(
-        ..., description='Metadata about the source of the leaderboard data'
+        ..., description="Metadata about the source of the leaderboard data"
     )
     model_info: ModelInfo
     evaluation_results: list[EvaluationResult] = Field(
-        ..., description='Array of evaluation results'
+        ..., description="Array of evaluation results"
     )
     detailed_evaluation_results: DetailedEvaluationResults | None = Field(
         None,
-        description='Reference to the evaluation results for all individual samples in the evaluation',
+        description="Reference to the evaluation results for all individual samples in the evaluation",
     )
diff --git a/instance_level_types.py b/instance_level_types.py
index e273d854d..10b03c2b0 100644
--- a/instance_level_types.py
+++ b/instance_level_types.py
@@ -1,194 +1,188 @@
 # generated by datamodel-codegen:
 #   filename:  instance_level_eval.schema.json
-#   timestamp: 2026-02-10T16:07:05+00:00
-
+#   timestamp: 2026-02-11T15:00:06+00:00
 
 from __future__ import annotations
-
 from enum import Enum
-from typing import Any
-
 from pydantic import BaseModel, ConfigDict, Field, confloat, conint
+from typing import Any
 
 
 class InteractionType(Enum):
-    single_turn = 'single_turn'
-    multi_turn = 'multi_turn'
-    agentic = 'agentic'
+    single_turn = "single_turn"
+    multi_turn = "multi_turn"
+    agentic = "agentic"
 
 
 class Input(BaseModel):
-    raw: str = Field(..., description='The raw input as defined in the eval')
+    raw: str = Field(..., description="The raw input as defined in the eval")
     formatted: str | None = Field(
         None,
-        description='Includes chat template, CoT and all relevant modifications - basically the un-tokenized version of what the model sees',
+        description="Includes chat template, CoT and all relevant modifications - basically the un-tokenized version of what the model sees",
     )
     reference: str = Field(
-        ..., description='Ground truth or reference answer for comparison/scoring'
+        ..., description="Ground truth or reference answer for comparison/scoring"
     )
     choices: list[str] | None = Field(
-        None, description='Optional list of choices for multiple-choice questions'
+        None, description="Optional list of choices for multiple-choice questions"
     )
 
 
 class Output(BaseModel):
-    raw: str = Field(..., description='Complete model response')
+    raw: str = Field(..., description="Complete model response")
     reasoning_trace: str | None = Field(
         None,
-        description='Reasoning trace of the model if applicable (e.g. chain-of-thought tokens)',
+        description="Reasoning trace of the model if applicable (e.g. chain-of-thought tokens)",
     )
 
 
 class ToolCall(BaseModel):
-    id: str = Field(..., description='Unique identifier for the tool call')
-    name: str = Field(..., description='Name of tool/function')
+    id: str = Field(..., description="Unique identifier for the tool call")
+    name: str = Field(..., description="Name of tool/function")
     arguments: dict[str, Any] | None = Field(
-        None, description='Arguments used to call the tool'
+        None, description="Arguments used to call the tool"
     )
 
 
 class Interaction(BaseModel):
     turn_idx: conint(ge=0) = Field(
         ...,
-        description='Index starting from 0 indicating the position in the conversation',
+        description="Index starting from 0 indicating the position in the conversation",
     )
     role: str = Field(
-        ..., description='Role of the speaker (e.g. user, assistant, system, tool)'
+        ..., description="Role of the speaker (e.g. user, assistant, system, tool)"
     )
     content: str | None = Field(
         None,
-        description='The actual raw text for that particular turn (can be null if empty)',
+        description="The actual raw text for that particular turn (can be null if empty)",
     )
     reasoning_trace: str | None = Field(
-        None, description='Reasoning trace for that particular turn if applicable'
+        None, description="Reasoning trace for that particular turn if applicable"
     )
     tool_calls: list[ToolCall] | None = Field(
-        None, description='List of tool invocations for this turn, if applicable'
-    )
-    tool_call_id: str | list[str] | None = Field(
-        None,
-        description='Reference to the tool call ID this turn is responding to (for tool role responses)',
+        None, description="List of tool invocations for this turn, if applicable"
     )
+    tool_call_id: str | list[str] | None = None
 
 
 class AnswerAttributionItem(BaseModel):
     turn_idx: conint(ge=0) = Field(
-        ..., description='Turn index in interactions. 0 for single_turn'
+        ..., description="Turn index in interactions. 0 for single_turn"
     )
     source: str = Field(
         ...,
         description="Source of the extracted value (e.g. 'output.raw' or 'interactions[turn_idx].content')",
     )
-    extracted_value: str = Field(..., description='Value that was extracted')
+    extracted_value: str = Field(..., description="Value that was extracted")
     extraction_method: str = Field(
         ...,
-        description='Method used to extract the value (e.g. regex, exact_match, llm_judge, custom)',
+        description="Method used to extract the value (e.g. regex, exact_match, llm_judge, custom)",
     )
     is_terminal: bool = Field(
         ...,
-        description='Whether this is the final answer (false if intermediate outputs are used to build up to a final answer)',
+        description="Whether this is the final answer (false if intermediate outputs are used to build up to a final answer)",
     )
 
 
 class Evaluation(BaseModel):
-    score: float | bool = Field(..., description='Instance-level score')
-    is_correct: bool = Field(..., description='Whether the final answer is correct')
+    score: float | bool = Field(..., description="Instance-level score")
+    is_correct: bool = Field(..., description="Whether the final answer is correct")
     num_turns: conint(ge=1) | None = Field(
-        None, description='Number of turns in the interaction'
+        None, description="Number of turns in the interaction"
     )
     tool_calls_count: conint(ge=0) | None = Field(
-        None, description='Count of tool calls across all turns in interactions'
+        None, description="Count of tool calls across all turns in interactions"
     )
 
 
 class TokenUsage(BaseModel):
-    input_tokens: conint(ge=0) = Field(..., description='Total input tokens used')
-    output_tokens: conint(ge=0) = Field(..., description='Total output tokens used')
-    total_tokens: conint(ge=0) = Field(..., description='Total tokens used')
+    input_tokens: conint(ge=0) = Field(..., description="Total input tokens used")
+    output_tokens: conint(ge=0) = Field(..., description="Total output tokens used")
+    total_tokens: conint(ge=0) = Field(..., description="Total tokens used")
     input_tokens_cache_write: conint(ge=0) | None = Field(
-        None, description='Number of tokens written to the cache'
+        None, description="Number of tokens written to the cache"
     )
     input_tokens_cache_read: conint(ge=0) | None = Field(
-        None, description='Number of tokens retrieved from the cache'
+        None, description="Number of tokens retrieved from the cache"
     )
     reasoning_tokens: conint(ge=0) | None = Field(
-        None, description='Number of tokens used for reasoning'
+        None, description="Number of tokens used for reasoning"
     )
 
 
 class Performance(BaseModel):
     model_config = ConfigDict(
-        extra='allow',
+        extra="allow",
     )
     latency_ms: confloat(ge=0.0) | None = Field(
-        None, description='Total latency in milliseconds'
+        None, description="Total latency in milliseconds"
     )
     time_to_first_token_ms: confloat(ge=0.0) | None = Field(
-        None, description='Time to first token in milliseconds'
+        None, description="Time to first token in milliseconds"
     )
     generation_time_ms: confloat(ge=0.0) | None = Field(
-        None, description='Time for generation in milliseconds'
+        None, description="Time for generation in milliseconds"
     )
 
 
 class InstanceLevelEvaluationLog(BaseModel):
     model_config = ConfigDict(
-        extra='allow',
+        extra="allow",
     )
     schema_version: str = Field(
-        ..., description='Version of the schema used for this instance data'
+        ..., description="Version of the schema used for this instance data"
     )
     evaluation_id: str = Field(
         ...,
-        description='Foreign key linking to the aggregate evaluation JSON. Must match the evaluation_id in the aggregate file.',
+        description="Foreign key linking to the aggregate evaluation JSON. Must match the evaluation_id in the aggregate file.",
     )
     model_id: str = Field(
         ...,
-        description='Identifier of the model in HuggingFace format (e.g. meta-llama/Llama-3.2-1B-Instruct)',
+        description="Identifier of the model in HuggingFace format (e.g. meta-llama/Llama-3.2-1B-Instruct)",
     )
     evaluation_name: str = Field(
         ...,
-        description='The specific eval name, ideally unique (e.g. GSM8K, mmlu_physics)',
+        description="The specific eval name, ideally unique (e.g. GSM8K, mmlu_physics)",
     )
     sample_id: int | str = Field(
         ...,
-        description='Question/sample identifier from the original dataset (e.g. gsm8k_0001)',
+        description="Question/sample identifier from the original dataset (e.g. gsm8k_0001)",
     )
     sample_hash: str | None = Field(
         None,
-        description='Hash of (input.raw + input.reference) to ensure comparison is between the same sample across models, in case sample_id is not consistent',
+        description="Hash of (input.raw + input.reference) to ensure comparison is between the same sample across models, in case sample_id is not consistent",
     )
     interaction_type: InteractionType = Field(
         ...,
-        description='Type of interaction: single_turn for simple Q&A, multi_turn for conversations, agentic for tool-using agents',
+        description="Type of interaction: single_turn for simple Q&A, multi_turn for conversations, agentic for tool-using agents",
     )
-    input: Input = Field(..., description='Input data for the evaluation sample')
+    input: Input = Field(..., description="Input data for the evaluation sample")
     output: Output | None = Field(
         None,
-        description='Output data - only used for single_turn interactions, null for multi_turn/agentic',
+        description="Output data - only used for single_turn interactions, null for multi_turn/agentic",
     )
     interactions: list[Interaction] | None = Field(
         None,
-        description='List of interactions - used for multi_turn and agentic, null for single_turn',
+        description="List of interactions - used for multi_turn and agentic, null for single_turn",
     )
     answer_attribution: list[AnswerAttributionItem] = Field(
         ...,
-        description='Information about how the answer was extracted from the model output',
+        description="Information about how the answer was extracted from the model output",
     )
     evaluation: Evaluation = Field(
-        ..., description='Evaluation results and scoring data'
+        ..., description="Evaluation results and scoring data"
     )
     token_usage: TokenUsage | None = Field(
-        None, description='Token usage for the model completion'
+        None, description="Token usage for the model completion"
     )
     performance: Performance | None = Field(
-        None, description='Performance and latency metrics'
+        None, description="Performance and latency metrics"
     )
     error: str | None = Field(
         None,
-        description='Information about any error that occurred (e.g. timeout, refusal, API error)',
+        description="Information about any error that occurred (e.g. timeout, refusal, API error)",
     )
     metadata: dict[str, Any] | None = Field(
         None,
-        description='Optional metadata about the sample (e.g. subject, difficulty, tags)',
+        description="Optional metadata about the sample (e.g. subject, difficulty, tags)",
     )
diff --git a/pyproject.toml b/pyproject.toml
index 26ee103cb..d94fdf437 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -9,7 +9,7 @@ authors = [
 requires-python = ">=3.12"
 dependencies = [
     "crfm-helm>=0.5.12",
-    "datamodel-code-generator>=0.52.2",
+    "datamodel-code-generator[ruff]>=0.52.2",
     "huggingface-hub>=0.36.0,<1.0.0",
     "inspect-ai>=0.3.160,<0.4.0",
     "jsonschema>=4.26.0,<5.0.0",
diff --git a/scripts/global-mmlu-lite/adapter.py b/scripts/global-mmlu-lite/adapter.py
index 73cd86d69..00a3645ba 100644
--- a/scripts/global-mmlu-lite/adapter.py
+++ b/scripts/global-mmlu-lite/adapter.py
@@ -13,6 +13,7 @@
 from typing import List
 
 from eval_types import (
+    ConfidenceInterval,
     EvaluationLog,
     EvaluationResult,
     EvaluatorRelationship,
@@ -69,7 +70,15 @@ def make_eval_result(
     """Create an EvaluationResult with hardcoded source_data for global-mmlu-lite."""
     uncertainty = None
     if confidence_interval is not None or stddev is not None:
+        ci = None
+        if confidence_interval is not None and score is not None and score >= 0:
+            ci = ConfidenceInterval(
+                lower=round(-confidence_interval, 4),
+                upper=round(confidence_interval, 4),
+                method="unknown",
+            )
         uncertainty = Uncertainty(
+            confidence_interval=ci,
             standard_deviation=stddev,
         )
     return EvaluationResult(
@@ -130,7 +139,6 @@ def fetch_global_mmlu_lite(retrieved_timestamp: str) -> int:
                 numeric_result = result_data.get("numericResult") or result_data.get("numericResultNullable", {})
                 score_value = numeric_result.get("value")
 
-                # Extract confidence interval if available
                 if numeric_result.get("hasConfidenceInterval"):
                     confidence_interval = numeric_result.get("confidenceInterval")
 
diff --git a/uv.lock b/uv.lock
index 85c3b2986..d7fbdbbdb 100644
--- a/uv.lock
+++ b/uv.lock
@@ -670,6 +670,11 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/9e/8d/72a75327e05a26d5fb7fa511a7d78af18198dc2595bbb179da0c9e4b6fbc/datamodel_code_generator-0.52.2-py3-none-any.whl", hash = "sha256:3ee19ec38190b76bb4119aa67ddce25b3447dd4e5c6bfd47b03a9937c50f5aac", size = 249759, upload_time = "2026-01-05T17:25:48.845Z" },
 ]
 
+[package.optional-dependencies]
+ruff = [
+    { name = "ruff" },
+]
+
 [[package]]
 name = "datasets"
 version = "3.6.0"
@@ -748,7 +753,7 @@ version = "0.1.0"
 source = { virtual = "." }
 dependencies = [
     { name = "crfm-helm" },
-    { name = "datamodel-code-generator" },
+    { name = "datamodel-code-generator", extra = ["ruff"] },
     { name = "huggingface-hub" },
     { name = "inspect-ai" },
     { name = "jsonschema" },
@@ -767,7 +772,7 @@ dev = [
 [package.metadata]
 requires-dist = [
     { name = "crfm-helm", specifier = ">=0.5.12" },
-    { name = "datamodel-code-generator", specifier = ">=0.52.2" },
+    { name = "datamodel-code-generator", extras = ["ruff"], specifier = ">=0.52.2" },
     { name = "huggingface-hub", specifier = ">=0.36.0,<1.0.0" },
     { name = "inspect-ai", specifier = ">=0.3.160,<0.4.0" },
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From f36d4352586f30206580a25e71dd5f4265a002fc Mon Sep 17 00:00:00 2001
From: SreeHarshaNelaturu <nelaturu.harsha@gmail.com>
Date: Wed, 11 Feb 2026 16:13:43 +0100
Subject: [PATCH 4/4] chore: update source_metadata

---
 ....json => c8ab4e94-d8e8-417f-be18-fececf3c815c.json} | 10 +++++-----
 ....json => 402c8833-1827-46fc-a497-46b40a6794ff.json} | 10 +++++-----
 ....json => acd2082a-ce0c-418f-9383-f3c9f11735a2.json} | 10 +++++-----
 ....json => c65ed336-b283-46c2-8284-c4695cad588d.json} | 10 +++++-----
 ....json => 5ebb009d-b548-4f2b-b075-feb76ca295d2.json} | 10 +++++-----
 ....json => c7df2916-bde4-4987-9139-fcfd18a14ac1.json} | 10 +++++-----
 ....json => 56ec8ab0-d76d-4c03-953b-a2a4a43af5f4.json} | 10 +++++-----
 ....json => ad3211a9-4390-4247-b64d-600191a88a75.json} | 10 +++++-----
 ....json => 1a34326a-f75e-434c-a027-9f8cf7fe8fb9.json} | 10 +++++-----
 ....json => 129c8b21-f97e-4284-9574-33d5932332f7.json} | 10 +++++-----
 ....json => 3644fd67-0f46-4de3-b542-edf219d0e0cd.json} | 10 +++++-----
 ....json => c0692e14-6484-4d02-8dac-55ce4373fb15.json} | 10 +++++-----
 ....json => ab4940d1-118c-479a-bd37-1ea2da6f02a3.json} | 10 +++++-----
 ....json => 85552093-435f-4d85-897d-4e74c3655533.json} | 10 +++++-----
 ....json => 4ddc0062-6577-4ab9-85f1-791fd2822776.json} | 10 +++++-----
 ....json => 50fc4840-933b-43ec-847e-1834b30f9f14.json} | 10 +++++-----
 ....json => 6cdc5384-2be5-47e0-a9b2-9cd6719c1760.json} | 10 +++++-----
 ....json => a668c931-34e4-4702-a84c-97d8c6f59ef4.json} | 10 +++++-----
 ....json => 3a7e2aa6-4e57-446f-a127-4a7e022fe3e1.json} | 10 +++++-----
 ....json => 938a35f1-195d-49c8-9a16-90fab96692bd.json} | 10 +++++-----
 ....json => ce756801-f75e-4250-9721-1d627a37f055.json} | 10 +++++-----
 ....json => b83b41d4-6c95-4c7d-a290-65d89bf776c2.json} | 10 +++++-----
 ....json => 31c3fe1b-be4b-42ef-8ec0-9da323b2ebb6.json} | 10 +++++-----
 ....json => a8e0fc0e-b3a4-4a0b-938f-aa11f1c64358.json} | 10 +++++-----
 scripts/global-mmlu-lite/adapter.py                    |  6 +++---
 25 files changed, 123 insertions(+), 123 deletions(-)
 rename data/global-mmlu-lite/alibaba/qwen3-235b-a22b-instruct-2507/{7352e4d2-016d-404e-b443-62674ed3d75f.json => c8ab4e94-d8e8-417f-be18-fececf3c815c.json} (98%)
 rename data/global-mmlu-lite/anthropic/claude-3-5-haiku-20241022/{7e577a20-9de8-49d7-b598-11755237d256.json => 402c8833-1827-46fc-a497-46b40a6794ff.json} (98%)
 rename data/global-mmlu-lite/anthropic/claude-3-7-sonnet-20250219/{7be4f076-a537-4d34-b884-8860a2d23e57.json => acd2082a-ce0c-418f-9383-f3c9f11735a2.json} (98%)
 rename data/global-mmlu-lite/anthropic/claude-opus-4-1-20250805/{d74e3633-6eda-4261-a06a-1f5d6c7d78d6.json => c65ed336-b283-46c2-8284-c4695cad588d.json} (98%)
 rename data/global-mmlu-lite/anthropic/claude-sonnet-4-20250514/{1c486108-80af-4752-96d8-02832e4420cb.json => 5ebb009d-b548-4f2b-b075-feb76ca295d2.json} (98%)
 rename data/global-mmlu-lite/cohere/command-a-03-2025/{c6d487a0-8088-405c-b6c8-20136afbe339.json => c7df2916-bde4-4987-9139-fcfd18a14ac1.json} (98%)
 rename data/global-mmlu-lite/deepseek/deepseek-r1-0528/{0ef90f90-b956-48ba-bad8-234d74c27c9c.json => 56ec8ab0-d76d-4c03-953b-a2a4a43af5f4.json} (98%)
 rename data/global-mmlu-lite/deepseek/deepseek-v3.1/{10fddd86-ef3c-4d77-a1ca-020d7b19b27d.json => ad3211a9-4390-4247-b64d-600191a88a75.json} (98%)
 rename data/global-mmlu-lite/google/gemini-2.5-flash-preview-05-20/{d491f587-b539-4918-9377-2a8204dbd8a4.json => 1a34326a-f75e-434c-a027-9f8cf7fe8fb9.json} (98%)
 rename data/global-mmlu-lite/google/gemini-2.5-flash/{7ec048f5-7539-42fa-8c16-44d006928475.json => 129c8b21-f97e-4284-9574-33d5932332f7.json} (98%)
 rename data/global-mmlu-lite/google/gemini-2.5-pro/{c23a5254-8219-460b-b334-0746aded67db.json => 3644fd67-0f46-4de3-b542-edf219d0e0cd.json} (98%)
 rename data/global-mmlu-lite/google/gemini-3-pro-preview/{9f223ea5-a5a1-4acb-81c6-6fe71239225a.json => c0692e14-6484-4d02-8dac-55ce4373fb15.json} (98%)
 rename data/global-mmlu-lite/google/gemma-3-27b-it/{f2b74519-42b2-4b41-b963-df24fd0e0690.json => ab4940d1-118c-479a-bd37-1ea2da6f02a3.json} (98%)
 rename data/global-mmlu-lite/google/gemma-3-4b-it/{b455eee3-2917-4479-89b1-e1a470e62fbe.json => 85552093-435f-4d85-897d-4e74c3655533.json} (98%)
 rename data/global-mmlu-lite/mistralai/mistral-medium-3/{25786cd1-4ffd-4265-9b61-426ab47e5b1d.json => 4ddc0062-6577-4ab9-85f1-791fd2822776.json} (98%)
 rename data/global-mmlu-lite/mistralai/mistral-small-2503/{257c2515-2933-4f2e-b6e6-70d4a818f086.json => 50fc4840-933b-43ec-847e-1834b30f9f14.json} (98%)
 rename data/global-mmlu-lite/openai/gpt-4.1-2025-04-14/{e7a344c6-eeff-4b11-93aa-a77ce2063a81.json => 6cdc5384-2be5-47e0-a9b2-9cd6719c1760.json} (98%)
 rename data/global-mmlu-lite/openai/gpt-5-2025-08-07/{55a4f39e-36fc-40d9-8e4d-5dfb3bd8d707.json => a668c931-34e4-4702-a84c-97d8c6f59ef4.json} (98%)
 rename data/global-mmlu-lite/openai/o3-mini-2025-01-31/{a70391be-f081-4ee6-8128-801b27072b53.json => 3a7e2aa6-4e57-446f-a127-4a7e022fe3e1.json} (98%)
 rename data/global-mmlu-lite/unknown/aya-expanse-32b/{14712820-c343-4d94-8eff-633a12b830af.json => 938a35f1-195d-49c8-9a16-90fab96692bd.json} (98%)
 rename data/global-mmlu-lite/unknown/granite-4.0-h-small/{7cc69baa-9db9-4a40-a03a-d4cd6bee16c5.json => ce756801-f75e-4250-9721-1d627a37f055.json} (98%)
 rename data/global-mmlu-lite/unknown/o4-mini-2025-04-16/{026339f8-2a68-47c2-afaf-69a3c0c5a8db.json => b83b41d4-6c95-4c7d-a290-65d89bf776c2.json} (98%)
 rename data/global-mmlu-lite/xai/grok-3-mini/{2761218a-27ef-4dc3-af3a-41ba830f8b40.json => 31c3fe1b-be4b-42ef-8ec0-9da323b2ebb6.json} (98%)
 rename data/global-mmlu-lite/xai/grok-4-0709/{8a2fda68-99d6-47a5-95ee-d38e695dda55.json => a8e0fc0e-b3a4-4a0b-938f-aa11f1c64358.json} (98%)

diff --git a/data/global-mmlu-lite/alibaba/qwen3-235b-a22b-instruct-2507/7352e4d2-016d-404e-b443-62674ed3d75f.json b/data/global-mmlu-lite/alibaba/qwen3-235b-a22b-instruct-2507/c8ab4e94-d8e8-417f-be18-fececf3c815c.json
similarity index 98%
rename from data/global-mmlu-lite/alibaba/qwen3-235b-a22b-instruct-2507/7352e4d2-016d-404e-b443-62674ed3d75f.json
rename to data/global-mmlu-lite/alibaba/qwen3-235b-a22b-instruct-2507/c8ab4e94-d8e8-417f-be18-fececf3c815c.json
index f983a3d6f..b3b764f48 100644
--- a/data/global-mmlu-lite/alibaba/qwen3-235b-a22b-instruct-2507/7352e4d2-016d-404e-b443-62674ed3d75f.json
+++ b/data/global-mmlu-lite/alibaba/qwen3-235b-a22b-instruct-2507/c8ab4e94-d8e8-417f-be18-fececf3c815c.json
@@ -1,12 +1,12 @@
 {
   "schema_version": "0.2.0",
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-  "retrieved_timestamp": "1770822205.005286",
+  "evaluation_id": "global-mmlu-lite/alibaba_qwen3-235b-a22b-instruct-2507/1770822797.839372",
+  "retrieved_timestamp": "1770822797.839372",
   "source_metadata": {
-    "source_name": "Global MMLU Lite",
+    "source_name": "Global MMLU Lite Leaderboard",
     "source_type": "documentation",
-    "source_organization_name": "Cohere Labs",
-    "source_organization_url": "https://cohere.com",
+    "source_organization_name": "kaggle",
+    "source_organization_url": "www.kaggle.com",
     "evaluator_relationship": "third_party"
   },
   "model_info": {
diff --git a/data/global-mmlu-lite/anthropic/claude-3-5-haiku-20241022/7e577a20-9de8-49d7-b598-11755237d256.json b/data/global-mmlu-lite/anthropic/claude-3-5-haiku-20241022/402c8833-1827-46fc-a497-46b40a6794ff.json
similarity index 98%
rename from data/global-mmlu-lite/anthropic/claude-3-5-haiku-20241022/7e577a20-9de8-49d7-b598-11755237d256.json
rename to data/global-mmlu-lite/anthropic/claude-3-5-haiku-20241022/402c8833-1827-46fc-a497-46b40a6794ff.json
index f9cb47aa9..5bff70d19 100644
--- a/data/global-mmlu-lite/anthropic/claude-3-5-haiku-20241022/7e577a20-9de8-49d7-b598-11755237d256.json
+++ b/data/global-mmlu-lite/anthropic/claude-3-5-haiku-20241022/402c8833-1827-46fc-a497-46b40a6794ff.json
@@ -1,12 +1,12 @@
 {
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-  "retrieved_timestamp": "1770822205.005286",
+  "evaluation_id": "global-mmlu-lite/anthropic_claude-3-5-haiku-20241022/1770822797.839372",
+  "retrieved_timestamp": "1770822797.839372",
   "source_metadata": {
-    "source_name": "Global MMLU Lite",
+    "source_name": "Global MMLU Lite Leaderboard",
     "source_type": "documentation",
-    "source_organization_name": "Cohere Labs",
-    "source_organization_url": "https://cohere.com",
+    "source_organization_name": "kaggle",
+    "source_organization_url": "www.kaggle.com",
     "evaluator_relationship": "third_party"
   },
   "model_info": {
diff --git a/data/global-mmlu-lite/anthropic/claude-3-7-sonnet-20250219/7be4f076-a537-4d34-b884-8860a2d23e57.json b/data/global-mmlu-lite/anthropic/claude-3-7-sonnet-20250219/acd2082a-ce0c-418f-9383-f3c9f11735a2.json
similarity index 98%
rename from data/global-mmlu-lite/anthropic/claude-3-7-sonnet-20250219/7be4f076-a537-4d34-b884-8860a2d23e57.json
rename to data/global-mmlu-lite/anthropic/claude-3-7-sonnet-20250219/acd2082a-ce0c-418f-9383-f3c9f11735a2.json
index 03f1c7ab0..ec9276c60 100644
--- a/data/global-mmlu-lite/anthropic/claude-3-7-sonnet-20250219/7be4f076-a537-4d34-b884-8860a2d23e57.json
+++ b/data/global-mmlu-lite/anthropic/claude-3-7-sonnet-20250219/acd2082a-ce0c-418f-9383-f3c9f11735a2.json
@@ -1,12 +1,12 @@
 {
   "schema_version": "0.2.0",
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-  "retrieved_timestamp": "1770822205.005286",
+  "evaluation_id": "global-mmlu-lite/anthropic_claude-3-7-sonnet-20250219/1770822797.839372",
+  "retrieved_timestamp": "1770822797.839372",
   "source_metadata": {
-    "source_name": "Global MMLU Lite",
+    "source_name": "Global MMLU Lite Leaderboard",
     "source_type": "documentation",
-    "source_organization_name": "Cohere Labs",
-    "source_organization_url": "https://cohere.com",
+    "source_organization_name": "kaggle",
+    "source_organization_url": "www.kaggle.com",
     "evaluator_relationship": "third_party"
   },
   "model_info": {
diff --git a/data/global-mmlu-lite/anthropic/claude-opus-4-1-20250805/d74e3633-6eda-4261-a06a-1f5d6c7d78d6.json b/data/global-mmlu-lite/anthropic/claude-opus-4-1-20250805/c65ed336-b283-46c2-8284-c4695cad588d.json
similarity index 98%
rename from data/global-mmlu-lite/anthropic/claude-opus-4-1-20250805/d74e3633-6eda-4261-a06a-1f5d6c7d78d6.json
rename to data/global-mmlu-lite/anthropic/claude-opus-4-1-20250805/c65ed336-b283-46c2-8284-c4695cad588d.json
index ce46cb3bf..06dce92ac 100644
--- a/data/global-mmlu-lite/anthropic/claude-opus-4-1-20250805/d74e3633-6eda-4261-a06a-1f5d6c7d78d6.json
+++ b/data/global-mmlu-lite/anthropic/claude-opus-4-1-20250805/c65ed336-b283-46c2-8284-c4695cad588d.json
@@ -1,12 +1,12 @@
 {
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-  "evaluation_id": "global-mmlu-lite/anthropic_claude-opus-4-1-20250805/1770822205.005286",
-  "retrieved_timestamp": "1770822205.005286",
+  "evaluation_id": "global-mmlu-lite/anthropic_claude-opus-4-1-20250805/1770822797.839372",
+  "retrieved_timestamp": "1770822797.839372",
   "source_metadata": {
-    "source_name": "Global MMLU Lite",
+    "source_name": "Global MMLU Lite Leaderboard",
     "source_type": "documentation",
-    "source_organization_name": "Cohere Labs",
-    "source_organization_url": "https://cohere.com",
+    "source_organization_name": "kaggle",
+    "source_organization_url": "www.kaggle.com",
     "evaluator_relationship": "third_party"
   },
   "model_info": {
diff --git a/data/global-mmlu-lite/anthropic/claude-sonnet-4-20250514/1c486108-80af-4752-96d8-02832e4420cb.json b/data/global-mmlu-lite/anthropic/claude-sonnet-4-20250514/5ebb009d-b548-4f2b-b075-feb76ca295d2.json
similarity index 98%
rename from data/global-mmlu-lite/anthropic/claude-sonnet-4-20250514/1c486108-80af-4752-96d8-02832e4420cb.json
rename to data/global-mmlu-lite/anthropic/claude-sonnet-4-20250514/5ebb009d-b548-4f2b-b075-feb76ca295d2.json
index 5f464fbed..0251345d9 100644
--- a/data/global-mmlu-lite/anthropic/claude-sonnet-4-20250514/1c486108-80af-4752-96d8-02832e4420cb.json
+++ b/data/global-mmlu-lite/anthropic/claude-sonnet-4-20250514/5ebb009d-b548-4f2b-b075-feb76ca295d2.json
@@ -1,12 +1,12 @@
 {
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-  "evaluation_id": "global-mmlu-lite/anthropic_claude-sonnet-4-20250514/1770822205.005286",
-  "retrieved_timestamp": "1770822205.005286",
+  "evaluation_id": "global-mmlu-lite/anthropic_claude-sonnet-4-20250514/1770822797.839372",
+  "retrieved_timestamp": "1770822797.839372",
   "source_metadata": {
-    "source_name": "Global MMLU Lite",
+    "source_name": "Global MMLU Lite Leaderboard",
     "source_type": "documentation",
-    "source_organization_name": "Cohere Labs",
-    "source_organization_url": "https://cohere.com",
+    "source_organization_name": "kaggle",
+    "source_organization_url": "www.kaggle.com",
     "evaluator_relationship": "third_party"
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   "model_info": {
diff --git a/data/global-mmlu-lite/cohere/command-a-03-2025/c6d487a0-8088-405c-b6c8-20136afbe339.json b/data/global-mmlu-lite/cohere/command-a-03-2025/c7df2916-bde4-4987-9139-fcfd18a14ac1.json
similarity index 98%
rename from data/global-mmlu-lite/cohere/command-a-03-2025/c6d487a0-8088-405c-b6c8-20136afbe339.json
rename to data/global-mmlu-lite/cohere/command-a-03-2025/c7df2916-bde4-4987-9139-fcfd18a14ac1.json
index d40297fe9..8e9ed8546 100644
--- a/data/global-mmlu-lite/cohere/command-a-03-2025/c6d487a0-8088-405c-b6c8-20136afbe339.json
+++ b/data/global-mmlu-lite/cohere/command-a-03-2025/c7df2916-bde4-4987-9139-fcfd18a14ac1.json
@@ -1,12 +1,12 @@
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similarity index 98%
rename from data/global-mmlu-lite/deepseek/deepseek-r1-0528/0ef90f90-b956-48ba-bad8-234d74c27c9c.json
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index f1a17dbc6..b6e9a89cf 100644
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similarity index 98%
rename from data/global-mmlu-lite/deepseek/deepseek-v3.1/10fddd86-ef3c-4d77-a1ca-020d7b19b27d.json
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index af44b4305..7e8deab0e 100644
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similarity index 98%
rename from data/global-mmlu-lite/google/gemini-2.5-flash-preview-05-20/d491f587-b539-4918-9377-2a8204dbd8a4.json
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index c80db486b..7a051d563 100644
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similarity index 98%
rename from data/global-mmlu-lite/google/gemini-2.5-flash/7ec048f5-7539-42fa-8c16-44d006928475.json
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index 06cf9f2c2..ffe8e8eb2 100644
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similarity index 98%
rename from data/global-mmlu-lite/google/gemini-2.5-pro/c23a5254-8219-460b-b334-0746aded67db.json
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index 3b4524e12..6a19f6916 100644
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similarity index 98%
rename from data/global-mmlu-lite/google/gemini-3-pro-preview/9f223ea5-a5a1-4acb-81c6-6fe71239225a.json
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index 97360f3df..8538679be 100644
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similarity index 98%
rename from data/global-mmlu-lite/google/gemma-3-27b-it/f2b74519-42b2-4b41-b963-df24fd0e0690.json
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index 0d14a421a..211f9d6b8 100644
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similarity index 98%
rename from data/global-mmlu-lite/google/gemma-3-4b-it/b455eee3-2917-4479-89b1-e1a470e62fbe.json
rename to data/global-mmlu-lite/google/gemma-3-4b-it/85552093-435f-4d85-897d-4e74c3655533.json
index 6c6b3a3ce..f5d7db0a6 100644
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diff --git a/data/global-mmlu-lite/mistralai/mistral-medium-3/25786cd1-4ffd-4265-9b61-426ab47e5b1d.json b/data/global-mmlu-lite/mistralai/mistral-medium-3/4ddc0062-6577-4ab9-85f1-791fd2822776.json
similarity index 98%
rename from data/global-mmlu-lite/mistralai/mistral-medium-3/25786cd1-4ffd-4265-9b61-426ab47e5b1d.json
rename to data/global-mmlu-lite/mistralai/mistral-medium-3/4ddc0062-6577-4ab9-85f1-791fd2822776.json
index 7e4a31d27..242b4f1b9 100644
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diff --git a/data/global-mmlu-lite/mistralai/mistral-small-2503/257c2515-2933-4f2e-b6e6-70d4a818f086.json b/data/global-mmlu-lite/mistralai/mistral-small-2503/50fc4840-933b-43ec-847e-1834b30f9f14.json
similarity index 98%
rename from data/global-mmlu-lite/mistralai/mistral-small-2503/257c2515-2933-4f2e-b6e6-70d4a818f086.json
rename to data/global-mmlu-lite/mistralai/mistral-small-2503/50fc4840-933b-43ec-847e-1834b30f9f14.json
index 74ee2bb5b..afd35d897 100644
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diff --git a/data/global-mmlu-lite/openai/gpt-4.1-2025-04-14/e7a344c6-eeff-4b11-93aa-a77ce2063a81.json b/data/global-mmlu-lite/openai/gpt-4.1-2025-04-14/6cdc5384-2be5-47e0-a9b2-9cd6719c1760.json
similarity index 98%
rename from data/global-mmlu-lite/openai/gpt-4.1-2025-04-14/e7a344c6-eeff-4b11-93aa-a77ce2063a81.json
rename to data/global-mmlu-lite/openai/gpt-4.1-2025-04-14/6cdc5384-2be5-47e0-a9b2-9cd6719c1760.json
index 1b0ed18d8..4ace59a99 100644
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+++ b/data/global-mmlu-lite/openai/gpt-4.1-2025-04-14/6cdc5384-2be5-47e0-a9b2-9cd6719c1760.json
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+    "source_organization_name": "kaggle",
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diff --git a/data/global-mmlu-lite/openai/gpt-5-2025-08-07/55a4f39e-36fc-40d9-8e4d-5dfb3bd8d707.json b/data/global-mmlu-lite/openai/gpt-5-2025-08-07/a668c931-34e4-4702-a84c-97d8c6f59ef4.json
similarity index 98%
rename from data/global-mmlu-lite/openai/gpt-5-2025-08-07/55a4f39e-36fc-40d9-8e4d-5dfb3bd8d707.json
rename to data/global-mmlu-lite/openai/gpt-5-2025-08-07/a668c931-34e4-4702-a84c-97d8c6f59ef4.json
index 86dfbf015..7b0435821 100644
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   },
   "model_info": {
diff --git a/data/global-mmlu-lite/openai/o3-mini-2025-01-31/a70391be-f081-4ee6-8128-801b27072b53.json b/data/global-mmlu-lite/openai/o3-mini-2025-01-31/3a7e2aa6-4e57-446f-a127-4a7e022fe3e1.json
similarity index 98%
rename from data/global-mmlu-lite/openai/o3-mini-2025-01-31/a70391be-f081-4ee6-8128-801b27072b53.json
rename to data/global-mmlu-lite/openai/o3-mini-2025-01-31/3a7e2aa6-4e57-446f-a127-4a7e022fe3e1.json
index e92aebf64..0d22ba810 100644
--- a/data/global-mmlu-lite/openai/o3-mini-2025-01-31/a70391be-f081-4ee6-8128-801b27072b53.json
+++ b/data/global-mmlu-lite/openai/o3-mini-2025-01-31/3a7e2aa6-4e57-446f-a127-4a7e022fe3e1.json
@@ -1,12 +1,12 @@
 {
   "schema_version": "0.2.0",
-  "evaluation_id": "global-mmlu-lite/openai_o3-mini-2025-01-31/1770822205.005286",
-  "retrieved_timestamp": "1770822205.005286",
+  "evaluation_id": "global-mmlu-lite/openai_o3-mini-2025-01-31/1770822797.839372",
+  "retrieved_timestamp": "1770822797.839372",
   "source_metadata": {
-    "source_name": "Global MMLU Lite",
+    "source_name": "Global MMLU Lite Leaderboard",
     "source_type": "documentation",
-    "source_organization_name": "Cohere Labs",
-    "source_organization_url": "https://cohere.com",
+    "source_organization_name": "kaggle",
+    "source_organization_url": "www.kaggle.com",
     "evaluator_relationship": "third_party"
   },
   "model_info": {
diff --git a/data/global-mmlu-lite/unknown/aya-expanse-32b/14712820-c343-4d94-8eff-633a12b830af.json b/data/global-mmlu-lite/unknown/aya-expanse-32b/938a35f1-195d-49c8-9a16-90fab96692bd.json
similarity index 98%
rename from data/global-mmlu-lite/unknown/aya-expanse-32b/14712820-c343-4d94-8eff-633a12b830af.json
rename to data/global-mmlu-lite/unknown/aya-expanse-32b/938a35f1-195d-49c8-9a16-90fab96692bd.json
index 057524bd4..4e5593fdf 100644
--- a/data/global-mmlu-lite/unknown/aya-expanse-32b/14712820-c343-4d94-8eff-633a12b830af.json
+++ b/data/global-mmlu-lite/unknown/aya-expanse-32b/938a35f1-195d-49c8-9a16-90fab96692bd.json
@@ -1,12 +1,12 @@
 {
   "schema_version": "0.2.0",
-  "evaluation_id": "global-mmlu-lite/unknown_aya-expanse-32b/1770822205.005286",
-  "retrieved_timestamp": "1770822205.005286",
+  "evaluation_id": "global-mmlu-lite/unknown_aya-expanse-32b/1770822797.839372",
+  "retrieved_timestamp": "1770822797.839372",
   "source_metadata": {
-    "source_name": "Global MMLU Lite",
+    "source_name": "Global MMLU Lite Leaderboard",
     "source_type": "documentation",
-    "source_organization_name": "Cohere Labs",
-    "source_organization_url": "https://cohere.com",
+    "source_organization_name": "kaggle",
+    "source_organization_url": "www.kaggle.com",
     "evaluator_relationship": "third_party"
   },
   "model_info": {
diff --git a/data/global-mmlu-lite/unknown/granite-4.0-h-small/7cc69baa-9db9-4a40-a03a-d4cd6bee16c5.json b/data/global-mmlu-lite/unknown/granite-4.0-h-small/ce756801-f75e-4250-9721-1d627a37f055.json
similarity index 98%
rename from data/global-mmlu-lite/unknown/granite-4.0-h-small/7cc69baa-9db9-4a40-a03a-d4cd6bee16c5.json
rename to data/global-mmlu-lite/unknown/granite-4.0-h-small/ce756801-f75e-4250-9721-1d627a37f055.json
index 661c1261f..fd8643d63 100644
--- a/data/global-mmlu-lite/unknown/granite-4.0-h-small/7cc69baa-9db9-4a40-a03a-d4cd6bee16c5.json
+++ b/data/global-mmlu-lite/unknown/granite-4.0-h-small/ce756801-f75e-4250-9721-1d627a37f055.json
@@ -1,12 +1,12 @@
 {
   "schema_version": "0.2.0",
-  "evaluation_id": "global-mmlu-lite/unknown_granite-4.0-h-small/1770822205.005286",
-  "retrieved_timestamp": "1770822205.005286",
+  "evaluation_id": "global-mmlu-lite/unknown_granite-4.0-h-small/1770822797.839372",
+  "retrieved_timestamp": "1770822797.839372",
   "source_metadata": {
-    "source_name": "Global MMLU Lite",
+    "source_name": "Global MMLU Lite Leaderboard",
     "source_type": "documentation",
-    "source_organization_name": "Cohere Labs",
-    "source_organization_url": "https://cohere.com",
+    "source_organization_name": "kaggle",
+    "source_organization_url": "www.kaggle.com",
     "evaluator_relationship": "third_party"
   },
   "model_info": {
diff --git a/data/global-mmlu-lite/unknown/o4-mini-2025-04-16/026339f8-2a68-47c2-afaf-69a3c0c5a8db.json b/data/global-mmlu-lite/unknown/o4-mini-2025-04-16/b83b41d4-6c95-4c7d-a290-65d89bf776c2.json
similarity index 98%
rename from data/global-mmlu-lite/unknown/o4-mini-2025-04-16/026339f8-2a68-47c2-afaf-69a3c0c5a8db.json
rename to data/global-mmlu-lite/unknown/o4-mini-2025-04-16/b83b41d4-6c95-4c7d-a290-65d89bf776c2.json
index 6b3c13f5c..95a579825 100644
--- a/data/global-mmlu-lite/unknown/o4-mini-2025-04-16/026339f8-2a68-47c2-afaf-69a3c0c5a8db.json
+++ b/data/global-mmlu-lite/unknown/o4-mini-2025-04-16/b83b41d4-6c95-4c7d-a290-65d89bf776c2.json
@@ -1,12 +1,12 @@
 {
   "schema_version": "0.2.0",
-  "evaluation_id": "global-mmlu-lite/unknown_o4-mini-2025-04-16/1770822205.005286",
-  "retrieved_timestamp": "1770822205.005286",
+  "evaluation_id": "global-mmlu-lite/unknown_o4-mini-2025-04-16/1770822797.839372",
+  "retrieved_timestamp": "1770822797.839372",
   "source_metadata": {
-    "source_name": "Global MMLU Lite",
+    "source_name": "Global MMLU Lite Leaderboard",
     "source_type": "documentation",
-    "source_organization_name": "Cohere Labs",
-    "source_organization_url": "https://cohere.com",
+    "source_organization_name": "kaggle",
+    "source_organization_url": "www.kaggle.com",
     "evaluator_relationship": "third_party"
   },
   "model_info": {
diff --git a/data/global-mmlu-lite/xai/grok-3-mini/2761218a-27ef-4dc3-af3a-41ba830f8b40.json b/data/global-mmlu-lite/xai/grok-3-mini/31c3fe1b-be4b-42ef-8ec0-9da323b2ebb6.json
similarity index 98%
rename from data/global-mmlu-lite/xai/grok-3-mini/2761218a-27ef-4dc3-af3a-41ba830f8b40.json
rename to data/global-mmlu-lite/xai/grok-3-mini/31c3fe1b-be4b-42ef-8ec0-9da323b2ebb6.json
index 682b7a3d5..f816ebb33 100644
--- a/data/global-mmlu-lite/xai/grok-3-mini/2761218a-27ef-4dc3-af3a-41ba830f8b40.json
+++ b/data/global-mmlu-lite/xai/grok-3-mini/31c3fe1b-be4b-42ef-8ec0-9da323b2ebb6.json
@@ -1,12 +1,12 @@
 {
   "schema_version": "0.2.0",
-  "evaluation_id": "global-mmlu-lite/xai_grok-3-mini/1770822205.005286",
-  "retrieved_timestamp": "1770822205.005286",
+  "evaluation_id": "global-mmlu-lite/xai_grok-3-mini/1770822797.839372",
+  "retrieved_timestamp": "1770822797.839372",
   "source_metadata": {
-    "source_name": "Global MMLU Lite",
+    "source_name": "Global MMLU Lite Leaderboard",
     "source_type": "documentation",
-    "source_organization_name": "Cohere Labs",
-    "source_organization_url": "https://cohere.com",
+    "source_organization_name": "kaggle",
+    "source_organization_url": "www.kaggle.com",
     "evaluator_relationship": "third_party"
   },
   "model_info": {
diff --git a/data/global-mmlu-lite/xai/grok-4-0709/8a2fda68-99d6-47a5-95ee-d38e695dda55.json b/data/global-mmlu-lite/xai/grok-4-0709/a8e0fc0e-b3a4-4a0b-938f-aa11f1c64358.json
similarity index 98%
rename from data/global-mmlu-lite/xai/grok-4-0709/8a2fda68-99d6-47a5-95ee-d38e695dda55.json
rename to data/global-mmlu-lite/xai/grok-4-0709/a8e0fc0e-b3a4-4a0b-938f-aa11f1c64358.json
index b5cecaa08..4e37c60a0 100644
--- a/data/global-mmlu-lite/xai/grok-4-0709/8a2fda68-99d6-47a5-95ee-d38e695dda55.json
+++ b/data/global-mmlu-lite/xai/grok-4-0709/a8e0fc0e-b3a4-4a0b-938f-aa11f1c64358.json
@@ -1,12 +1,12 @@
 {
   "schema_version": "0.2.0",
-  "evaluation_id": "global-mmlu-lite/xai_grok-4-0709/1770822205.005286",
-  "retrieved_timestamp": "1770822205.005286",
+  "evaluation_id": "global-mmlu-lite/xai_grok-4-0709/1770822797.839372",
+  "retrieved_timestamp": "1770822797.839372",
   "source_metadata": {
-    "source_name": "Global MMLU Lite",
+    "source_name": "Global MMLU Lite Leaderboard",
     "source_type": "documentation",
-    "source_organization_name": "Cohere Labs",
-    "source_organization_url": "https://cohere.com",
+    "source_organization_name": "kaggle",
+    "source_organization_url": "www.kaggle.com",
     "evaluator_relationship": "third_party"
   },
   "model_info": {
diff --git a/scripts/global-mmlu-lite/adapter.py b/scripts/global-mmlu-lite/adapter.py
index 00a3645ba..0a0cbe441 100644
--- a/scripts/global-mmlu-lite/adapter.py
+++ b/scripts/global-mmlu-lite/adapter.py
@@ -171,9 +171,9 @@ def fetch_global_mmlu_lite(retrieved_timestamp: str) -> int:
             evaluation_id=evaluation_id,
             retrieved_timestamp=retrieved_timestamp,
             source_metadata=make_source_metadata(
-                source_name="Global MMLU Lite",
-                organization_name="Cohere Labs",
-                organization_url="https://cohere.com",
+                source_name="Global MMLU Lite Leaderboard",
+                organization_name="kaggle",
+                organization_url="www.kaggle.com",
                 evaluator_relationship=EvaluatorRelationship.third_party,
             ),
             model_info=model_info,